{"meta":{"query_hash":"2cf42586737d","filters":{"topic":"Neural dynamics and brain function"},"cohort_total":4098,"direct_labels_cover":0,"predictions_cover":4098,"exported":4098,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/2cf42586737d","api":"https://metacan.xera.ac/api/v1/cohort?topic=Neural+dynamics+and+brain+function"},"results":[{"id":"W101003662","doi":"10.1007/978-3-642-38457-8_10","title":"Detecting Statistically Significant Temporal Associations from Multiple Event Sequences","year":2013,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Univariate; Multivariate statistics; Computer science; Event (particle physics); Data mining; Set (abstract data type); Constraint (computer-aided design); Artificial intelligence; Multivariate analysis; Pattern recognition (psychology); Machine learning; Mathematics","score_opus":0.03246082356412998,"score_gpt":0.25720874411568134,"score_spread":0.22474792055155135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W101003662","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010745313,0.000021813668,0.9851165,0.0004999182,0.0019613493,0.00050971785,0.00019782313,0.00011483019,0.0008327243],"genre_scores_gemma":[0.95425355,0.0000122756,0.043818463,0.0011559242,0.00035486187,0.000013415007,0.000025363768,0.00003231458,0.00033382012],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99675095,0.00007012692,0.00051373907,0.0012697651,0.00089407124,0.00050135347],"domain_scores_gemma":[0.99614114,0.0027168635,0.0003941178,0.00043571633,0.00016657011,0.00014561937],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00037817215,0.00036775012,0.00036809364,0.00027862965,0.0004103399,0.00044741613,0.0008261876,0.00021421748,0.00013463639],"category_scores_gemma":[0.001756406,0.00031599015,0.00008722275,0.00034815999,0.0005407693,0.00030132013,0.00031543546,0.0007374667,0.00010904548],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021017519,0.000093058894,0.0017613036,0.00003297152,0.000016902948,0.00020432525,0.00056402513,0.050625045,0.20961545,0.008098383,0.00006293478,0.72890455],"study_design_scores_gemma":[0.0002180863,0.00019397715,0.0014225624,0.0001591612,0.000012762451,0.000010350058,4.1891857e-7,0.7954069,0.016029403,0.18560687,0.00030579357,0.00063371926],"about_ca_topic_score_codex":0.00048488958,"about_ca_topic_score_gemma":0.000418002,"teacher_disagreement_score":0.94350827,"about_ca_system_score_codex":0.00034856357,"about_ca_system_score_gemma":0.0003100862,"threshold_uncertainty_score":0.9999292},"labels":[],"label_agreement":null},{"id":"W1022869576","doi":"10.1038/ncomms8738","title":"Mesoscale infraslow spontaneous membrane potential fluctuations recapitulate high-frequency activity cortical motifs","year":2015,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":92,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Coastal Health; Vancouver Coastal Health Research Institute; University of British Columbia","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC; Heart and Stroke Foundation of Canada","keywords":"Neuroscience; Neuroimaging; Cerebral cortex; Psychology; Electroencephalography; Premovement neuronal activity; Electrophysiology","score_opus":0.029321174447006233,"score_gpt":0.2825381095249696,"score_spread":0.2532169350779634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1022869576","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.973889,0.0002327401,0.001357084,0.011827692,0.0015089008,0.00054565363,0.00012640606,0.00036271423,0.010149833],"genre_scores_gemma":[0.99516976,0.00021141594,0.0027270005,0.00089913886,0.00009983759,0.000039434497,0.00008819816,0.000028908926,0.0007362913],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99804175,0.00050069223,0.0002839383,0.00040669137,0.0004593713,0.0003075578],"domain_scores_gemma":[0.9969384,0.0005723003,0.0001417283,0.0018976597,0.00021194333,0.00023798234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029780326,0.00020197124,0.0002124512,0.00013791461,0.00060889946,0.00011426692,0.0011486663,0.0003342551,0.00007173422],"category_scores_gemma":[0.0020867626,0.00019097987,0.000100848956,0.0005993342,0.00029126534,0.00037349254,0.00038947005,0.0016035048,0.00012111574],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006716627,0.00043264317,0.00008542137,0.00000541462,0.000014638264,0.00007194744,0.00012950083,0.0006246148,0.9125059,0.08266569,0.0013683604,0.002028658],"study_design_scores_gemma":[0.007150969,0.0012415707,0.081774876,0.00015388518,0.00070524064,0.005894286,0.00032760648,0.47418505,0.24605592,0.13480958,0.04393688,0.0037641497],"about_ca_topic_score_codex":0.000087610286,"about_ca_topic_score_gemma":0.00036348987,"teacher_disagreement_score":0.66645,"about_ca_system_score_codex":0.00016293854,"about_ca_system_score_gemma":0.0001460075,"threshold_uncertainty_score":0.77879333},"labels":[],"label_agreement":null},{"id":"W1095686712","doi":"10.1016/j.neulet.2015.07.049","title":"Electrophysiological and firing properties of neurons: Categorizing soloists and choristers in primary visual cortex","year":2015,"lang":"en","type":"article","venue":"Neuroscience Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Université de Sherbrooke","funders":"","keywords":"Neuroscience; Electrophysiology; Visual cortex; Premovement neuronal activity; Spike (software development); Population; Neuronal firing; Neuron; Spike train; Psychology; Computer science","score_opus":0.04482007346642242,"score_gpt":0.2453788831015408,"score_spread":0.20055880963511838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1095686712","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99789107,0.000037384943,0.000048464528,0.0014874166,0.0002940789,0.00016957067,9.228317e-7,0.000031776326,0.000039319206],"genre_scores_gemma":[0.9925486,0.000063808984,0.000019401878,0.007315328,0.000023214585,0.000008173267,2.7077058e-7,0.000009405449,0.00001179091],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99854517,0.00012244206,0.0002081575,0.0005518677,0.0002593578,0.00031301053],"domain_scores_gemma":[0.9996281,0.00006505289,0.000087780754,0.0001087405,0.000012103683,0.000098196855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014932385,0.00013884196,0.00018000304,0.000119745724,0.00008984619,0.000071117705,0.00015490304,0.000035095854,2.5051472e-7],"category_scores_gemma":[0.00039804803,0.00011098562,0.000019884914,0.00032108312,0.00053455855,0.00034668323,0.00014741218,0.00021479966,6.6255717e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006403113,0.000027345366,0.0035747704,0.000019701349,1.4933083e-7,0.000027970766,0.00007931158,0.000073296294,0.99475855,0.000054048352,0.000012435685,0.0013083713],"study_design_scores_gemma":[0.0013219938,0.0020526415,0.44034705,0.00007905766,0.000010538036,0.00028536684,0.00007332992,0.03905113,0.5156323,0.00025470243,0.00028236688,0.0006095643],"about_ca_topic_score_codex":0.00003358367,"about_ca_topic_score_gemma":0.000002816772,"teacher_disagreement_score":0.4791263,"about_ca_system_score_codex":0.000035353936,"about_ca_system_score_gemma":0.000031538377,"threshold_uncertainty_score":0.4525862},"labels":[],"label_agreement":null},{"id":"W1120065707","doi":"10.1089/brain.2014.0241","title":"Using Phase Shift Granger Causality to Measure Directed Connectivity in EEG Recordings","year":2014,"lang":"en","type":"article","venue":"Brain Connectivity","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg; Brock University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Pennsylvania Space Grant Consortium","keywords":"Granger causality; Electroencephalography; Computer science; Artificial intelligence; Transfer entropy; Coherence (philosophical gambling strategy); Pattern recognition (psychology); Speech recognition; Mutual information; Psychology; Neuroscience; Mathematics; Machine learning; Statistics","score_opus":0.07218845399853986,"score_gpt":0.31850430658428597,"score_spread":0.24631585258574612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1120065707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97521925,0.000005504516,0.017723106,0.003490074,0.00097099826,0.00078347104,0.00005253306,0.0003389945,0.0014160817],"genre_scores_gemma":[0.99619436,0.0000012099387,0.0002040863,0.0032714317,0.00014118703,0.000045558423,0.0000032461908,0.000046571193,0.00009232392],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99578667,0.0015116927,0.00037613628,0.001217411,0.00044420155,0.0006638911],"domain_scores_gemma":[0.995118,0.0037919085,0.00017688362,0.00056832546,0.00008196142,0.00026288268],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002261089,0.00036347465,0.0005338149,0.0002988581,0.0003386584,0.00013615454,0.00028077472,0.00017443641,0.000076803895],"category_scores_gemma":[0.019676996,0.00036573986,0.00014190585,0.0012457308,0.00011381083,0.0004859098,0.00016068542,0.00046333365,0.00004106621],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044079384,0.00057273393,0.008222208,0.000033125903,0.000007289944,0.000028964068,0.00026351836,0.00023430605,0.95751345,0.0033284307,0.0005011742,0.028854009],"study_design_scores_gemma":[0.0102117,0.0018471933,0.373425,0.000436839,0.00007569067,0.0001487311,0.00007713647,0.26978016,0.2983236,0.026303466,0.016076822,0.0032936626],"about_ca_topic_score_codex":0.0014801433,"about_ca_topic_score_gemma":0.0033499391,"teacher_disagreement_score":0.6591898,"about_ca_system_score_codex":0.0002794759,"about_ca_system_score_gemma":0.000070881695,"threshold_uncertainty_score":0.9998795},"labels":[],"label_agreement":null},{"id":"W1128587883","doi":"10.1016/j.cobeha.2015.08.008","title":"Adaptive neural coding: from biological to behavioral decision-making","year":2015,"lang":"en","type":"article","venue":"Current Opinion in Behavioral Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":110,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Institute on Drug Abuse; National Institute of Mental Health; National Institutes of Health","keywords":"Computer science; Normalization (sociology); Computation; Neuroeconomics; Coding (social sciences); Adaptive behavior; Artificial intelligence; Normative; Machine learning; Normative model of decision-making; Decision theory; Context (archaeology); Theoretical computer science; Algorithm; Psychology; Cognitive psychology; Mathematics; Social psychology; Biology","score_opus":0.4254997785553323,"score_gpt":0.4572007904650705,"score_spread":0.03170101190973823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1128587883","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9862364,0.000105340245,0.0007183202,0.00024245698,0.012071476,0.00037661675,0.000061231214,0.00008965392,0.00009852112],"genre_scores_gemma":[0.99870276,0.000022447202,0.00086909125,0.00009365693,0.00024765023,0.000042726773,0.000008052771,0.000009030855,0.0000045872985],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99721986,0.00017524324,0.00040643822,0.000939725,0.0007428086,0.0005158988],"domain_scores_gemma":[0.9990746,0.00026114946,0.00012511392,0.00019948147,0.00005744811,0.0002822219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041176882,0.0002351183,0.00023973499,0.0002685582,0.00025719637,0.00022484994,0.00069223065,0.00008365021,0.00006496787],"category_scores_gemma":[0.0002994953,0.00018076773,0.000080007536,0.0011718498,0.0003559919,0.0005057012,0.00035020162,0.00029046903,0.000084379106],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005873936,0.0022416199,0.27446342,0.0000065555078,0.0000010579545,0.00003574527,0.0018672417,0.0028673003,0.039748583,0.00863206,0.0038586399,0.6656904],"study_design_scores_gemma":[0.0065797428,0.021201072,0.6515085,0.0030002766,0.00006468329,0.00016069204,0.006838142,0.17995825,0.009891183,0.08637863,0.02800066,0.0064181304],"about_ca_topic_score_codex":0.00016000879,"about_ca_topic_score_gemma":0.000034866043,"teacher_disagreement_score":0.65927225,"about_ca_system_score_codex":0.00015065717,"about_ca_system_score_gemma":0.00008022881,"threshold_uncertainty_score":0.7371494},"labels":[],"label_agreement":null},{"id":"W1130890054","doi":"10.1038/srep13021","title":"Reward feedback stimuli elicit high-beta EEG oscillations in human dorsolateral prefrontal cortex","year":2015,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dorsolateral prefrontal cortex; Neuroscience; Stimulus (psychology); Electroencephalography; Prefrontal cortex; Psychology; Scalp; Beta Rhythm; BETA (programming language); Cognitive psychology; Cognition; Medicine; Computer science","score_opus":0.04289953788761836,"score_gpt":0.2800150894105979,"score_spread":0.23711555152297953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1130890054","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98420364,0.0000095047935,0.00006528677,0.00028756604,0.010400073,0.00041638303,0.000009401078,0.00012314216,0.004484986],"genre_scores_gemma":[0.9869735,8.470317e-7,0.000098037555,0.00011009657,0.00008190345,0.000015827842,0.00006143581,0.000021706248,0.012636594],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9968997,0.00010578533,0.0006291229,0.0011506763,0.0007616116,0.00045309533],"domain_scores_gemma":[0.99853784,0.00003894948,0.00028960293,0.000781609,0.00011507213,0.0002369106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008847193,0.00019477401,0.00022332772,0.00029297994,0.00040586898,0.0004795967,0.0002126811,0.00008643684,0.00010488893],"category_scores_gemma":[0.0002711995,0.00017470468,0.0000797702,0.0008154283,0.00027633802,0.00053369656,0.00015748314,0.00020976778,0.00009683653],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020172149,0.00013308637,0.010796749,0.000009043163,0.0000025572576,0.0005523814,0.00034989943,0.0016641724,0.97658145,0.00080484507,0.008667886,0.00041772748],"study_design_scores_gemma":[0.0033330799,0.00092139177,0.57834506,0.00024021273,0.000074628275,0.0022725442,0.00033608754,0.03134933,0.17123716,0.1254763,0.08390955,0.002504636],"about_ca_topic_score_codex":0.00025738316,"about_ca_topic_score_gemma":0.00031182676,"teacher_disagreement_score":0.80534434,"about_ca_system_score_codex":0.00017439028,"about_ca_system_score_gemma":0.00013047992,"threshold_uncertainty_score":0.712425},"labels":[],"label_agreement":null},{"id":"W113243015","doi":"10.1007/978-1-4419-5675-0_5","title":"Pair-Correlation in the Time and Frequency Domain","year":2010,"lang":"en","type":"book-chapter","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Frequency domain; Correlation; Coherence (philosophical gambling strategy); Correlation function (quantum field theory); Time domain; Representation (politics); Domain (mathematical analysis); Computer science; Function (biology); Statistical physics; Mathematics; Algorithm; Physics; Statistics; Mathematical analysis; Spectral density; Geometry; Biology; Computer vision","score_opus":0.014948509884054566,"score_gpt":0.20739056790693194,"score_spread":0.19244205802287737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W113243015","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013874903,0.000016057365,0.00007767537,0.0017426609,0.00047327907,0.0003487174,0.000015873322,0.000043475804,0.9834074],"genre_scores_gemma":[0.03913183,0.000057979007,0.00032245167,0.00389822,0.00019284482,0.000010139468,0.000028930746,0.00004128579,0.9563163],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99922603,0.00003052333,0.0001544603,0.00030069132,0.00018230347,0.00010600164],"domain_scores_gemma":[0.99944663,0.00024199772,0.00007550268,0.00020435217,0.000008923344,0.000022593968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018849451,0.00014457898,0.00010814051,0.00007938097,0.0000849176,0.00005354094,0.00013016388,0.00021216074,0.00053960044],"category_scores_gemma":[0.000051752148,0.0000910695,0.00003799235,0.000027574573,0.00009089661,0.000085365005,0.00003101076,0.0005123464,0.00024609792],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006318801,0.0000105574245,0.00003335395,0.0000055295122,0.000001039554,0.000030842413,0.000079443955,0.0000010415238,0.091218635,0.9053905,0.000530796,0.0026919267],"study_design_scores_gemma":[0.00023641028,0.00011965102,0.0005463483,0.00003338327,0.000011306954,0.000108440836,0.0000044161407,0.0013496031,0.00033910546,0.92392904,0.07298975,0.00033258184],"about_ca_topic_score_codex":0.000020843734,"about_ca_topic_score_gemma":0.00010890092,"teacher_disagreement_score":0.09087953,"about_ca_system_score_codex":0.000013127571,"about_ca_system_score_gemma":0.00001182801,"threshold_uncertainty_score":0.59082466},"labels":[],"label_agreement":null},{"id":"W117283620","doi":"10.1007/978-3-642-03889-1_130","title":"Dynamics of the Seizure Engine","year":2009,"lang":"en","type":"book-chapter","venue":"World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Bistability; Attractor; Ictal; Chaotic; Neuroscience; Computer science; Network dynamics; Physics; Statistical physics; Epilepsy; Mathematics; Psychology; Artificial intelligence; Mathematical analysis","score_opus":0.01059934054118789,"score_gpt":0.21956311740796988,"score_spread":0.208963776866782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W117283620","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011227984,0.0029088825,0.0034276138,0.03549653,0.030592179,0.005424809,0.0039822888,0.0018379708,0.9051017],"genre_scores_gemma":[0.17472075,0.0019132295,0.00011878031,0.008411845,0.0027957885,0.000042414016,0.0003976009,0.00039629592,0.8112033],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9955389,0.000060707556,0.00084405584,0.0008698799,0.0020623296,0.0006241121],"domain_scores_gemma":[0.9974629,0.00046468023,0.00042872533,0.00092772034,0.0000759616,0.00063999044],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003144418,0.0007921869,0.000913474,0.00026034692,0.0001588827,0.00006263304,0.0010404903,0.0006509922,0.0006194099],"category_scores_gemma":[0.00021415063,0.00056752126,0.00041735018,0.00031885284,0.0008343575,0.00009286985,0.00043332533,0.002174699,0.000049348495],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001763411,0.0009474963,0.00001438362,0.0010289231,0.00037907017,0.0007275145,0.000080914804,0.00090985605,0.0037623164,0.616568,0.09105502,0.28435013],"study_design_scores_gemma":[0.0011843703,0.0003131465,0.000071723,0.001809017,0.00015644376,0.00008312788,0.000001851297,0.14578131,0.00074746617,0.0077685453,0.8410554,0.0010276089],"about_ca_topic_score_codex":0.000008758053,"about_ca_topic_score_gemma":0.000047363344,"teacher_disagreement_score":0.75000036,"about_ca_system_score_codex":0.000111312875,"about_ca_system_score_gemma":0.00014222632,"threshold_uncertainty_score":0.9996776},"labels":[],"label_agreement":null},{"id":"W11827143","doi":"10.1016/b978-012373649-9.50029-6","title":"Extracellular Potassium Dynamics and Epileptogenesis","year":2008,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Epileptogenesis; Extracellular; Potassium; Dynamics (music); Chemistry; Neuroscience; Biophysics; Biology; Biochemistry; Psychology; Epilepsy","score_opus":0.0216164157372938,"score_gpt":0.21945878316368433,"score_spread":0.19784236742639053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W11827143","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002095242,0.0012557012,0.000026458696,0.0001613755,0.00084305706,0.0004986769,0.00013300282,0.00013172577,0.99485475],"genre_scores_gemma":[0.007865216,0.0015593398,0.00008182534,0.0004636375,0.0002431055,0.000017693314,0.000027858412,0.00013313505,0.98960817],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978968,0.00004364046,0.00041538768,0.0008865465,0.00040343346,0.00035417697],"domain_scores_gemma":[0.9988446,0.00014561921,0.00027002447,0.0005150395,0.000043422988,0.0001812863],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00010525443,0.00050461874,0.0004696063,0.00017838355,0.00030086425,0.000073930176,0.00025701785,0.00038522776,0.00013280787],"category_scores_gemma":[0.000046050965,0.00047759392,0.00021089675,0.000019443976,0.0003396075,0.00006179716,0.00018342587,0.0005045446,0.00015487155],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018132814,0.0000085638985,0.000006358714,0.00005107282,0.000012600237,0.00024759048,0.00003122635,0.0000014926958,0.007456858,0.025372414,0.00015654867,0.96663713],"study_design_scores_gemma":[0.00024690077,0.00011554199,0.000025962412,0.00010814154,0.00007477818,0.00042982752,0.0000020187897,0.0015053125,0.0012628975,0.0044976682,0.9910227,0.00070825533],"about_ca_topic_score_codex":4.5919964e-7,"about_ca_topic_score_gemma":0.000013629425,"teacher_disagreement_score":0.9908661,"about_ca_system_score_codex":0.00010954391,"about_ca_system_score_gemma":0.000058842958,"threshold_uncertainty_score":0.9997676},"labels":[],"label_agreement":null},{"id":"W1199517114","doi":"10.1016/j.jmp.2017.06.001","title":"Addressing very short stimulus encoding times in modeling schizophrenia cognitive deficit","year":2017,"lang":"en","type":"article","venue":"Journal of Mathematical Psychology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"Encoding (memory); ENCODE; Computer science; Stimulus (psychology); Cognition; Cognitive model; Schizophrenia (object-oriented programming); Cognitive psychology; Psychology; Artificial intelligence; Neuroscience; Gene; Genetics; Biology","score_opus":0.1790942280151065,"score_gpt":0.4050685124815691,"score_spread":0.22597428446646262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1199517114","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9618781,0.000029204044,0.024731353,0.00071486505,0.00052542664,0.000090906025,0.000002107833,0.000010039981,0.0120179495],"genre_scores_gemma":[0.9983038,0.000032720887,0.0011014261,0.00036364514,0.00013994603,0.0000017781712,1.7398986e-7,0.000015490594,0.00004103223],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99859786,0.0001088001,0.0005627407,0.00022030645,0.00025876058,0.00025154685],"domain_scores_gemma":[0.9988406,0.00049060676,0.00030384064,0.00020917557,0.000068064604,0.00008776657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006059259,0.00012914433,0.00034333076,0.00018682425,0.00020243287,0.00012572328,0.00036236236,0.0001043341,0.000088834306],"category_scores_gemma":[0.0028726389,0.00010162043,0.00010805547,0.000065569955,0.00014283844,0.00037153927,0.00007474185,0.0005072695,0.00003742688],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0044144965,0.0022696145,0.0033126476,0.0002881384,0.000090583635,0.003295104,0.0009169861,0.005292645,0.82008654,0.041510373,0.00047099678,0.11805185],"study_design_scores_gemma":[0.004433612,0.0008396761,0.004961963,0.0018961666,0.000106397674,0.0032422077,0.00019322846,0.66737014,0.0074369316,0.30892417,0.00002747905,0.0005680682],"about_ca_topic_score_codex":7.6760824e-7,"about_ca_topic_score_gemma":0.0000012858673,"teacher_disagreement_score":0.8126496,"about_ca_system_score_codex":0.000027792672,"about_ca_system_score_gemma":0.000026863136,"threshold_uncertainty_score":0.4143961},"labels":[],"label_agreement":null},{"id":"W1207829580","doi":"","title":"Symbolic Reasoning in Spiking Neurons: A Model of the Cortex/Basal Ganglia/Thalamus Loop","year":2010,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Thalamus; Basal ganglia; Neuroscience; Cortex (anatomy); Computer science; Psychology; Central nervous system","score_opus":0.017782289131424735,"score_gpt":0.21641130939672903,"score_spread":0.1986290202653043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1207829580","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98882145,0.000009896765,0.00004273653,0.00069898285,0.0004555521,0.00031809942,0.0005080092,0.00013747704,0.009007776],"genre_scores_gemma":[0.9970224,0.000006221402,0.00012615154,0.0019294438,0.000076114644,0.000015756039,0.000018894581,0.000073394345,0.0007316178],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979182,0.00009720708,0.000479134,0.0005764399,0.00044738315,0.0004816386],"domain_scores_gemma":[0.9987842,0.00024006664,0.00022596044,0.0005753528,0.000021565123,0.00015287232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015703091,0.0002759137,0.00025828017,0.00017765905,0.00015446734,0.0005525163,0.0007795076,0.00014691796,0.000058575446],"category_scores_gemma":[0.0013927312,0.00021116399,0.00018663508,0.0008306977,0.00020531479,0.002297719,0.00041811235,0.0010833476,0.00009912173],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013927066,0.00033575183,0.26437286,0.00006150654,0.000005400673,0.00005726734,0.00005053177,0.0007484163,0.7082181,0.021120634,0.000234473,0.004655771],"study_design_scores_gemma":[0.0022386515,0.000240585,0.12763841,0.0004813106,0.000037525428,0.000087833556,0.00004399058,0.29084668,0.43134022,0.14209087,0.0034404795,0.0015134343],"about_ca_topic_score_codex":0.000004117633,"about_ca_topic_score_gemma":0.0000071262302,"teacher_disagreement_score":0.29009825,"about_ca_system_score_codex":0.00001623975,"about_ca_system_score_gemma":0.00011467659,"threshold_uncertainty_score":0.86110175},"labels":[],"label_agreement":null},{"id":"W1223711719","doi":"10.1167/15.12.1061","title":"Correlation between the effects of attention and response normalization in prefrontal area 8A neurons is cell type dependent.","year":2015,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; McGill University; Western University","funders":"","keywords":"Stimulus (psychology); Receptive field; Neuroscience; Psychology; Visual field; Visual cortex; Electrophysiology; Normalization (sociology); Visual N1; Visual perception; Audiology; Cognitive psychology; Medicine; Perception","score_opus":0.020429739145527585,"score_gpt":0.2667078201928654,"score_spread":0.24627808104733778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1223711719","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978549,0.000050792118,0.0011263313,0.00024373757,0.0005429221,0.0001267855,0.0000018403571,0.0000030378226,0.00004968495],"genre_scores_gemma":[0.9996997,0.000059511916,0.00001891176,0.00007130519,0.00003365792,3.1811916e-7,0.000001120667,0.0000060210455,0.00010944385],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989596,0.00030741005,0.00026801662,0.00009335976,0.00030016818,0.00007142835],"domain_scores_gemma":[0.9990634,0.00039823385,0.00033246173,0.00007500615,0.00008570147,0.00004522427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054289366,0.000060519564,0.00010205888,0.0001292032,0.00004328639,0.000025629106,0.00006551255,0.00004500009,0.0000022480895],"category_scores_gemma":[0.00070161757,0.00004063293,0.000029472034,0.00019063125,0.00002577155,0.00032634917,0.00003579596,0.00014635838,0.0000021218204],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00105731,0.000078327714,0.04827307,0.0000237375,0.0000018255923,0.000018547817,0.00039935505,0.0006026023,0.94662094,0.000012906268,0.00032552486,0.0025858665],"study_design_scores_gemma":[0.0013860998,0.002370132,0.93176174,0.000117583106,0.000031960695,0.00006914508,0.000053075768,0.0246202,0.039065972,0.00032756952,0.00012575483,0.00007075376],"about_ca_topic_score_codex":0.0000065453437,"about_ca_topic_score_gemma":0.0000029916216,"teacher_disagreement_score":0.9075549,"about_ca_system_score_codex":0.000042325744,"about_ca_system_score_gemma":0.000032020387,"threshold_uncertainty_score":0.16569628},"labels":[],"label_agreement":null},{"id":"W133233379","doi":"10.1016/b978-008045046-9.00317-x","title":"Evoked Potentials: Recording Methods","year":2009,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; Medicine","score_opus":0.044506731747678885,"score_gpt":0.30802834502968934,"score_spread":0.26352161328201046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W133233379","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000029953786,0.0001679206,0.00018801088,0.00023361885,0.001989829,0.00050408806,0.000019791598,0.00020375587,0.99666303],"genre_scores_gemma":[0.00044980142,0.0001863902,0.0024780259,0.0019571912,0.0005363284,0.00001341293,0.000008459148,0.00010643792,0.99426395],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976009,0.00017175636,0.0005298066,0.00091970235,0.00038318214,0.00039463473],"domain_scores_gemma":[0.99851274,0.00028430394,0.0003861711,0.0006179485,0.000051882533,0.00014693964],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005036707,0.00049080444,0.0005781112,0.00024012307,0.0002467116,0.00013371152,0.00040997594,0.0003653571,0.00036101375],"category_scores_gemma":[0.00019720083,0.00045024583,0.00040185996,0.000024310164,0.00011200805,0.00008089563,0.00013985606,0.000703357,0.00027513836],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017194434,0.000005020931,9.542351e-8,0.000020126265,0.000010267353,0.000051797644,0.000013501562,0.0000012965884,0.043073297,0.015116996,0.00014911273,0.9415413],"study_design_scores_gemma":[0.00014376733,0.00010468932,0.000002315627,0.00016397698,0.00006891933,0.00006196507,7.9004053e-7,0.00017677232,0.0050865086,0.12811552,0.86561984,0.00045492276],"about_ca_topic_score_codex":4.133562e-7,"about_ca_topic_score_gemma":0.0000026966059,"teacher_disagreement_score":0.94108635,"about_ca_system_score_codex":0.00010153723,"about_ca_system_score_gemma":0.000055691406,"threshold_uncertainty_score":0.9997949},"labels":[],"label_agreement":null},{"id":"W13802146","doi":"10.1007/978-1-4020-8387-7_84","title":"Adaptable Intermittency and Autonomous Transitions in Epilepsy and Cognition","year":2008,"lang":"en","type":"book-chapter","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Intermittency; Cognition; Neuroscience; Embodied cognition; Computer science; Mechanism (biology); Epilepsy; Cognitive science; Psychology; Cognitive psychology; Physics; Artificial intelligence","score_opus":0.03132288138342647,"score_gpt":0.22111499754594147,"score_spread":0.189792116162515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W13802146","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017160326,0.00018143232,0.00031731193,0.0009477745,0.00027967192,0.00050293765,0.00011616792,0.00010607744,0.9803883],"genre_scores_gemma":[0.63858944,0.0030626508,0.00009827285,0.001324588,0.00006208484,0.000017281469,0.000034671353,0.000043005995,0.356768],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99908465,0.000014905005,0.0002144672,0.0004416333,0.00010104612,0.00014326845],"domain_scores_gemma":[0.99969393,0.00006789123,0.00005852765,0.000101725615,0.000016228792,0.00006170277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003828962,0.00018972125,0.00020275476,0.00018267048,0.00010496056,0.000037113885,0.000045279423,0.00015222635,0.00022419788],"category_scores_gemma":[0.000018911704,0.00017990892,0.000038324106,0.000028936876,0.00015249648,0.00015586015,0.00003211995,0.000267741,0.000022315937],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028785286,0.00028918427,0.00012295303,0.00034984088,0.00003927364,0.0015034019,0.001375689,0.000032237218,0.09540099,0.638125,0.005941657,0.25653195],"study_design_scores_gemma":[0.009872147,0.004095893,0.009405521,0.0026993186,0.0005108873,0.011589039,0.00027321727,0.08764951,0.009019918,0.37924948,0.478283,0.007352059],"about_ca_topic_score_codex":0.000016062442,"about_ca_topic_score_gemma":0.00011252085,"teacher_disagreement_score":0.6236203,"about_ca_system_score_codex":0.000022747727,"about_ca_system_score_gemma":0.000022792678,"threshold_uncertainty_score":0.7336473},"labels":[],"label_agreement":null},{"id":"W1424592256","doi":"10.1523/jneurosci.1262-15.2015","title":"Interareal Spike-Train Correlations of Anterior Cingulate and Dorsal Prefrontal Cortex during Attention Shifts","year":2015,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Ministero dello Sviluppo Economico; Ontario Ministry of Economic Development and Innovation","keywords":"Neuroscience; Prefrontal cortex; Anterior cingulate cortex; Psychology; Spike (software development); Dorsum; Cingulate cortex; Cognitive psychology; Cognition; Biology; Computer science; Anatomy; Central nervous system","score_opus":0.030463990095277307,"score_gpt":0.26924959676889604,"score_spread":0.23878560667361873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1424592256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99702007,0.000021606094,0.0007955014,0.00019972796,0.0017151592,0.000090618596,0.000008563895,0.000008873553,0.00013990613],"genre_scores_gemma":[0.99953216,0.00002764868,0.00007775585,0.0001096179,0.000056948193,5.714224e-7,1.8168058e-7,0.000008494843,0.0001866004],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985919,0.000089482804,0.0004662496,0.00023132493,0.00044067833,0.00018034238],"domain_scores_gemma":[0.99906576,0.00006142237,0.00052559795,0.00010904309,0.000095617186,0.00014255865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002808723,0.00010814287,0.00018718244,0.00015973925,0.000113963295,0.000079167185,0.00021778223,0.000032640342,0.0000036180804],"category_scores_gemma":[0.0006454945,0.00008890455,0.000072299714,0.00028376316,0.00022662099,0.0007587074,0.00009690497,0.00021158205,0.0000014662045],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009775877,0.00005327907,0.0045330618,0.000008603136,6.78413e-7,0.00006731988,0.00018855583,0.00013579911,0.99393827,0.000085674015,0.000007816919,0.0008832034],"study_design_scores_gemma":[0.0008271113,0.00084000424,0.9635571,0.000111945534,0.00001404944,0.0014483166,0.000068744484,0.015830405,0.016790433,0.00032698872,0.00006756024,0.000117306416],"about_ca_topic_score_codex":0.000006450117,"about_ca_topic_score_gemma":0.000003875648,"teacher_disagreement_score":0.9771478,"about_ca_system_score_codex":0.000038406957,"about_ca_system_score_gemma":0.000059429618,"threshold_uncertainty_score":0.3625422},"labels":[],"label_agreement":null},{"id":"W1466873256","doi":"10.1523/jneurosci.1359-15.2015","title":"Moderate Cortical Cooling Eliminates Thalamocortical Silent States during Slow Oscillation","year":2015,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Institut Universitaire en Santé Mentale de Québec","funders":"Canadian Institutes of Health Research","keywords":"Thalamus; Local field potential; Neuroscience; Somatosensory system; Inhibitory postsynaptic potential; Depolarization; Cortex (anatomy); Chemistry; Premovement neuronal activity; Cerebral cortex; Sensory cortex; Biology; Biophysics","score_opus":0.053969142544299686,"score_gpt":0.2843890652040871,"score_spread":0.2304199226597874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1466873256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949173,0.000014861208,0.0025026388,0.00070352503,0.0016101014,0.00010339025,0.0000033341453,0.0000316031,0.00011326511],"genre_scores_gemma":[0.99880666,0.00008029467,0.00013964578,0.00065103325,0.00015268881,0.0000014599879,2.2428922e-7,0.000014860699,0.0001531646],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99761516,0.00018587887,0.0005560847,0.00033457926,0.0009264593,0.00038181443],"domain_scores_gemma":[0.99864024,0.00025744378,0.0003547933,0.00015687096,0.00022299962,0.00036764238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005037126,0.00015742966,0.00022472675,0.000174505,0.0002540063,0.00022774054,0.0003290276,0.00004511294,0.0000045159645],"category_scores_gemma":[0.0029675777,0.00012112383,0.0000910147,0.00045055087,0.00022883166,0.000808955,0.00010262622,0.00041010606,0.000010259103],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026215485,0.00009124905,0.0016880125,0.000007891085,6.5625557e-7,0.00023233557,0.00012144022,0.02101026,0.9758439,0.0004476157,0.000049994902,0.00024449106],"study_design_scores_gemma":[0.0010929353,0.0011648918,0.07883125,0.000058390975,0.000023632325,0.0022088462,0.00010433529,0.5717896,0.34188944,0.0021844772,0.00034032305,0.0003118372],"about_ca_topic_score_codex":0.000002707044,"about_ca_topic_score_gemma":0.0000010029192,"teacher_disagreement_score":0.63395447,"about_ca_system_score_codex":0.00008763909,"about_ca_system_score_gemma":0.000116388066,"threshold_uncertainty_score":0.49392864},"labels":[],"label_agreement":null},{"id":"W1480559914","doi":"10.1016/b978-0-444-53839-0.00012-0","title":"Long-range correlation of the membrane potential in neocortical neurons during slow oscillation","year":2011,"lang":"en","type":"article","venue":"Progress in brain research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Institute of Neurological Disorders and Stroke; Canadian Institutes of Health Research; Bundesministerium für Bildung und Forschung","keywords":"Oscillation (cell signaling); Neuroscience; Correlation; Range (aeronautics); Neocortex; Psychology; Biology; Mathematics; Materials science","score_opus":0.08015216556161006,"score_gpt":0.3381264339237417,"score_spread":0.25797426836213166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1480559914","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99711835,0.000024877738,0.000040051804,0.0009995006,0.00030363014,0.0007207541,0.00000321153,0.000020706471,0.0007689147],"genre_scores_gemma":[0.9994962,0.000016672833,0.000034864,0.000037524816,0.0000385439,0.000058044003,0.0000011140822,0.000016285112,0.00030070788],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973068,0.0007625233,0.00033214703,0.00039542533,0.00076461927,0.00043847307],"domain_scores_gemma":[0.9991132,0.00037750578,0.00007462241,0.00031297165,0.0000688919,0.000052817493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091673183,0.000098603705,0.00012751669,0.0003526222,0.00015007616,0.00003657954,0.00036002288,0.00009395035,0.00006859674],"category_scores_gemma":[0.001212842,0.00007661832,0.000052369156,0.0012505123,0.0004584702,0.00021472332,0.00024908915,0.00062466506,0.000009526853],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003770751,0.00029243386,0.92160803,0.00007648266,0.0000014802316,0.00008991214,0.00051209657,0.00039873787,0.06842184,0.002616059,0.000013069299,0.0055928095],"study_design_scores_gemma":[0.00054452557,0.000084189596,0.93844587,0.000056906792,0.0000013690823,0.000014231442,0.000018092449,0.04003737,0.019822953,0.00089134445,0.000008242872,0.00007492883],"about_ca_topic_score_codex":0.00010311289,"about_ca_topic_score_gemma":0.0002428196,"teacher_disagreement_score":0.04859889,"about_ca_system_score_codex":0.000070406684,"about_ca_system_score_gemma":0.000046076748,"threshold_uncertainty_score":0.31244045},"labels":[],"label_agreement":null},{"id":"W148244761","doi":"10.1007/978-3-642-21043-3_12","title":"Characterizing a Brain-Based Value-Function Approximator","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Robustness (evolution); Reinforcement learning; Artificial intelligence; Machine learning; Function (biology); Value (mathematics); Classical conditioning; Bellman equation; Conditioning; Mathematics; Mathematical optimization; Statistics","score_opus":0.028009202545075045,"score_gpt":0.2305258664563677,"score_spread":0.20251666391129264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W148244761","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023401019,0.000028464125,0.98588586,0.0010276994,0.0037197398,0.00055110425,0.000013497101,0.00021655804,0.006216971],"genre_scores_gemma":[0.94885635,0.000018746896,0.013301566,0.034780018,0.0011646453,0.000033603625,0.000019999457,0.00014980695,0.0016752814],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966001,0.000052422052,0.00042062777,0.0015747353,0.0007683795,0.00058376323],"domain_scores_gemma":[0.99812275,0.0005747113,0.0003323854,0.0007346793,0.000083887826,0.00015159282],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004994686,0.0004975768,0.00040139287,0.00067705003,0.000325621,0.00027761888,0.0009150817,0.00029575004,0.00009308531],"category_scores_gemma":[0.00030821367,0.0004428373,0.0001566984,0.00042335657,0.0006337677,0.0003360299,0.00028705533,0.0007903933,0.00009671218],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001620063,0.00011651857,0.000053634627,0.00015935265,0.000007706656,0.0001574805,0.0003540915,0.006666191,0.2901425,0.053208124,0.00004077725,0.6489316],"study_design_scores_gemma":[0.0007501376,0.00086306105,0.00037823684,0.0006819792,0.000029518502,0.00011862434,1.1939294e-7,0.6737378,0.09280414,0.21905059,0.009975561,0.0016101836],"about_ca_topic_score_codex":0.000011610517,"about_ca_topic_score_gemma":0.00000805267,"teacher_disagreement_score":0.9725843,"about_ca_system_score_codex":0.00020761872,"about_ca_system_score_gemma":0.00027639337,"threshold_uncertainty_score":0.99980235},"labels":[],"label_agreement":null},{"id":"W1483962677","doi":"10.1016/s0079-6123(06)65001-2","title":"The neuronal transfer function: contributions from voltage- and time-dependent mechanisms","year":2007,"lang":"en","type":"review","venue":"Progress in brain research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Subthreshold conduction; Transfer function; Neuroscience; Biological system; Stimulus (psychology); Soma; Physics; Control theory (sociology); Computer science; Voltage; Biology; Engineering; Psychology; Artificial intelligence","score_opus":0.11893745844556772,"score_gpt":0.4155633921826441,"score_spread":0.29662593373707635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1483962677","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00006422475,0.99238706,0.001997227,0.0013210243,0.00074586505,0.0025265622,0.000405349,0.000092410504,0.00046030094],"genre_scores_gemma":[0.00091644394,0.9951756,0.000012706887,0.0001727443,0.00031725885,0.0006892129,0.00008395468,0.0000827492,0.0025493316],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9938392,0.001840544,0.00066782173,0.0011421605,0.0014670204,0.0010432283],"domain_scores_gemma":[0.9912186,0.0077717123,0.00008240282,0.0005660563,0.00015218422,0.00020899742],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.004272232,0.0003929241,0.0006941255,0.0004407846,0.001122459,0.0005639752,0.00077684235,0.0003984363,0.00013886973],"category_scores_gemma":[0.001339403,0.00026316315,0.00020399257,0.0011304121,0.0008409957,0.00014614803,0.00038312218,0.00236718,0.00019910392],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007545727,0.00008448501,0.0000029423231,0.00035641945,0.000018149545,0.00009157145,0.000015955988,2.8518875e-7,0.00012879426,0.029773088,0.0004392858,0.9690136],"study_design_scores_gemma":[0.00039654822,0.00026596815,0.00002367509,0.00093428476,0.000041284504,0.00004201329,0.000013936,0.00038943268,0.000087445995,0.011994871,0.9855132,0.00029731603],"about_ca_topic_score_codex":0.000018381199,"about_ca_topic_score_gemma":0.00003947202,"teacher_disagreement_score":0.9850739,"about_ca_system_score_codex":0.00020662435,"about_ca_system_score_gemma":0.0002462415,"threshold_uncertainty_score":0.99998206},"labels":[],"label_agreement":null},{"id":"W1484566718","doi":"10.3389/fpsyg.2015.00668","title":"Editorial: The long and short of mental time travelâ€”self-projection over time-scales large and small","year":2015,"lang":"en","type":"editorial","venue":"Frontiers in Psychology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Chronesthesia; Psychology; Time perception; Projection (relational algebra); Perception; Cognitive psychology; Front (military); Cognition; Neuroscience; Computer science; Algorithm; Geography","score_opus":0.011530474130069456,"score_gpt":0.27852384676439934,"score_spread":0.2669933726343299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1484566718","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011030195,0.00024828315,0.00022379973,0.00011949037,0.98699564,0.00047094535,0.00022481362,0.000042810567,0.0006440457],"genre_scores_gemma":[0.00082543946,0.0014906863,0.00035193472,0.0001718891,0.9959802,0.000039744802,0.00013992425,0.00007317586,0.00092698185],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99780387,0.00033417073,0.00036637162,0.00073847437,0.00042699976,0.0003301163],"domain_scores_gemma":[0.99911326,0.00027624398,0.0001800848,0.00030105366,0.000059945953,0.00006939589],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007246141,0.0002788985,0.00045976593,0.00022615131,0.000097617434,0.00004262168,0.00027439112,0.0008535739,0.000011463492],"category_scores_gemma":[0.00035544834,0.00021913734,0.000060404094,0.00020346811,0.00029928325,0.000099380544,0.00011863938,0.0007763416,0.00000531945],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029585458,0.0000980919,0.0005154188,0.0000233276,0.000019013427,0.000005085847,0.00015442724,1.9821103e-7,0.002998357,0.000005886552,0.99246484,0.0034194833],"study_design_scores_gemma":[0.0014109347,0.00047760943,0.0006944876,0.000033981625,0.00004990456,0.000015709542,0.000020970354,0.0014983716,0.000115860654,0.0012360855,0.9941523,0.00029376827],"about_ca_topic_score_codex":0.000017503564,"about_ca_topic_score_gemma":0.000025532225,"teacher_disagreement_score":0.010204756,"about_ca_system_score_codex":0.00007492124,"about_ca_system_score_gemma":0.000053048523,"threshold_uncertainty_score":0.8936161},"labels":[],"label_agreement":null},{"id":"W1487029091","doi":"10.1109/ijcnn.2005.1555863","title":"Differences in the subthreshold dynamics of leaky integrate-and-fire and hodgkin-huxley neuron models","year":2006,"lang":"en","type":"article","venue":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Subthreshold conduction; Computer science; Calibration; Biological neuron model; Hodgkin–Huxley model; Spiking neural network; Neuron; Spike (software development); Artificial intelligence; Abstraction; Biological system; Artificial neural network; Mathematics; Physics; Neuroscience; Voltage; Statistics; Biology","score_opus":0.056554251537552204,"score_gpt":0.2538402336264336,"score_spread":0.1972859820888814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1487029091","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98768383,0.00006640468,0.0004943581,0.005975892,0.0007565033,0.0004150088,0.00003816653,0.000058419522,0.0045114215],"genre_scores_gemma":[0.99721456,0.0009485958,0.000041573545,0.0009559919,0.0002707917,0.000038693168,0.000015376796,0.000026227544,0.00048820302],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975092,0.000060020167,0.0006114122,0.00071595766,0.0006028279,0.0005006303],"domain_scores_gemma":[0.9990937,0.00019063322,0.00035517165,0.00013624535,0.00013639631,0.000087841814],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003276713,0.00037582818,0.0003656625,0.00022093226,0.00014358177,0.00036022364,0.00052985904,0.00013741048,0.000032040392],"category_scores_gemma":[0.0000861315,0.00027043992,0.00008445398,0.00022983392,0.00033112004,0.0005869218,0.00010416916,0.0006600205,0.000002534649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009681625,0.0009349853,0.028320963,0.00012091879,0.000036468668,0.0000860827,0.00041347684,0.021579796,0.042457607,0.87312514,0.004952496,0.027003892],"study_design_scores_gemma":[0.000433881,0.00018658463,0.01208282,0.000116695206,0.000011816805,0.00008715328,0.0001080589,0.9753384,0.00070657476,0.01059054,0.0000663839,0.00027109636],"about_ca_topic_score_codex":0.00022304986,"about_ca_topic_score_gemma":0.00045360552,"teacher_disagreement_score":0.9537586,"about_ca_system_score_codex":0.00007821583,"about_ca_system_score_gemma":0.000024650111,"threshold_uncertainty_score":0.9999748},"labels":[],"label_agreement":null},{"id":"W1491896651","doi":"10.3389/fnsys.2015.00076","title":"GABAergic circuits underpin valuative processing","year":2015,"lang":"en","type":"article","venue":"Frontiers in Systems Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Western Hospital; University Health Network","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; GABAergic; Front (military); Computer science; Psychology; Physics","score_opus":0.09636576447413815,"score_gpt":0.28916683068484467,"score_spread":0.19280106621070653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1491896651","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8181738,0.0008630786,0.12734263,0.0007248567,0.03276159,0.0018233887,0.000026815627,0.0004604137,0.01782344],"genre_scores_gemma":[0.9973722,0.00002209439,0.00011268968,0.0007249337,0.00009318264,0.000049078917,7.502054e-7,0.00002418602,0.0016008698],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99687016,0.00040793789,0.000391305,0.00090557017,0.0008754784,0.0005495453],"domain_scores_gemma":[0.9991197,0.000061335035,0.00020916021,0.00030677248,0.00007142448,0.00023158596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007482643,0.00021860113,0.0002809005,0.00032154378,0.00020535149,0.00029227926,0.0005812349,0.00007347548,9.659957e-7],"category_scores_gemma":[0.0010354364,0.00019756173,0.000043645516,0.001482798,0.00031203145,0.00079602463,0.00010774847,0.00026380605,0.000019191457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011420089,0.0004838634,0.03061989,0.00022756115,0.0000023691716,0.0006054081,0.0031323861,0.047703814,0.8566892,0.0068714526,0.022201968,0.031347856],"study_design_scores_gemma":[0.001422097,0.00042640368,0.0048702797,0.00023839154,0.000009299433,0.00029350212,0.0014442228,0.9661047,0.011923267,0.0038023829,0.0087061515,0.00075929245],"about_ca_topic_score_codex":0.000028161045,"about_ca_topic_score_gemma":0.0000026467696,"teacher_disagreement_score":0.9184009,"about_ca_system_score_codex":0.00024388584,"about_ca_system_score_gemma":0.0002377924,"threshold_uncertainty_score":0.80563337},"labels":[],"label_agreement":null},{"id":"W1495170075","doi":"10.1093/oxfordhb/9780199541072.013.0029","title":"Compositionality and Biologically Plausible Models","year":2012,"lang":"en","type":"book","venue":"Oxford University Press eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Principle of compositionality; Computer science; Artificial intelligence","score_opus":0.06541800063930713,"score_gpt":0.21835241693284874,"score_spread":0.1529344162935416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1495170075","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031519646,0.000021005879,0.00068408344,0.000027502661,0.00015781143,0.00028222895,0.0003274716,0.000110718735,0.99523723],"genre_scores_gemma":[0.013237744,0.00015651314,0.00017811297,0.00030507875,0.00007892733,7.971073e-7,0.000050742554,0.000017048085,0.985975],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989176,0.00008993106,0.000111282374,0.00044846407,0.00018997943,0.0002427439],"domain_scores_gemma":[0.999356,0.00016039067,0.00013598448,0.00017716954,0.00003559418,0.00013491529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000071520124,0.00022197627,0.0002303617,0.000073107694,0.00026344298,0.000043157223,0.00025313787,0.0002754774,0.000020585117],"category_scores_gemma":[0.0000075400885,0.00021658826,0.000087009605,0.000010794658,0.00024551427,0.00016281985,0.00037231384,0.00032802037,9.2207415e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012011204,0.000024541845,0.0000063333,0.000045746317,0.000012651211,0.000027332953,0.00002235645,0.000046923436,0.004226491,0.9927097,0.0016667349,0.0010910603],"study_design_scores_gemma":[0.00027307577,0.00007308948,0.000036028214,0.00003401213,0.000050564187,0.00002631997,0.0000022330103,0.0022215485,0.00044302942,0.009784255,0.9867699,0.00028590622],"about_ca_topic_score_codex":0.00001226224,"about_ca_topic_score_gemma":0.000003989408,"teacher_disagreement_score":0.9851032,"about_ca_system_score_codex":0.00010842821,"about_ca_system_score_gemma":0.00005664746,"threshold_uncertainty_score":0.88322127},"labels":[],"label_agreement":null},{"id":"W1495629897","doi":"10.1113/jphysiol.2004.067678","title":"<i>In vivo</i> intracellular responses of the medial geniculate neurones to acoustic stimuli in anaesthetized guinea pigs","year":2004,"lang":"en","type":"article","venue":"The Journal of Physiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Hong Kong; University of Calgary","keywords":"Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Medial geniculate body; Postsynaptic potential; Stimulus (psychology); Neuroscience; Chemistry; Membrane potential; Electrophysiology; Reversal potential; Hyperpolarization (physics); Biology; Patch clamp; Psychology; Inferior colliculus; Nucleus; Biochemistry","score_opus":0.019735084319126694,"score_gpt":0.26070721207342296,"score_spread":0.24097212775429627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1495629897","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939573,0.000029220482,0.00006639534,0.005054026,0.0007068305,0.0001694548,0.000004306176,0.0000030022843,0.0000094608],"genre_scores_gemma":[0.9980863,0.00007586258,0.000025919078,0.0016644867,0.00009805935,0.0000014126156,6.590796e-8,0.000009474383,0.000038426322],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985675,0.0005128453,0.0004139186,0.0001211046,0.0001891553,0.00019546975],"domain_scores_gemma":[0.99895364,0.0004731633,0.00028345862,0.00021160643,0.000040114002,0.00003801397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044811246,0.000104443665,0.00024457127,0.00012011722,0.000048836915,0.0000051930333,0.00046337597,0.000043660308,0.000020075453],"category_scores_gemma":[0.0007109673,0.000054714434,0.00008313257,0.00038401442,0.00015921958,0.000075774115,0.000094339084,0.00030089368,0.000003987444],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010762265,0.00007251253,0.00002245571,0.0000045923507,0.0000015229629,0.000023318691,0.00022439797,0.07203027,0.92630243,0.00014527132,0.000050875704,0.000046150715],"study_design_scores_gemma":[0.0022314575,0.0013776191,0.02047635,0.00006793063,0.000030240964,0.0002641311,0.000057835954,0.0018472244,0.9593362,0.01390647,0.00026375067,0.00014075465],"about_ca_topic_score_codex":0.00004458782,"about_ca_topic_score_gemma":0.00006872105,"teacher_disagreement_score":0.070183046,"about_ca_system_score_codex":0.000037177808,"about_ca_system_score_gemma":0.00006843656,"threshold_uncertainty_score":0.22311898},"labels":[],"label_agreement":null},{"id":"W1497583041","doi":"10.1007/978-1-4614-7320-6_390-2","title":"Correlation Analysis of Parallel Spike Trains","year":2019,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Spike (software development); Train; Computer science; Correlation; Mathematics; Geometry; Cartography; Geography","score_opus":0.02413197624387065,"score_gpt":0.25181699614543557,"score_spread":0.22768501990156492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1497583041","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027273607,0.00005939016,0.06608346,0.00033176696,0.0035625517,0.0010531192,0.00089867006,0.00010482685,0.9006326],"genre_scores_gemma":[0.6858725,0.0005440345,0.0009916971,0.0010146576,0.00010978323,0.000007076961,0.00019532765,0.00007209697,0.31119287],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969477,0.000052738167,0.0007975043,0.0008010491,0.0011833948,0.00021762529],"domain_scores_gemma":[0.99751,0.0008374082,0.001038645,0.00035125497,0.00017561497,0.000087056935],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016916201,0.00030882092,0.0006324452,0.0008845708,0.00009252501,0.000024537063,0.0005065024,0.00015445193,0.00015669137],"category_scores_gemma":[0.00033377288,0.000304821,0.00040374068,0.00066731556,0.0004336918,0.00023688973,0.00011391066,0.00029545274,0.00003082866],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034490386,0.00006151571,0.0002771497,0.00004053434,0.000022243805,0.000008644884,0.00006607932,0.7233976,0.0033067884,0.2706939,0.00023263853,0.0018583959],"study_design_scores_gemma":[0.00048672783,0.0005089922,0.03760489,0.000087258086,0.0006101946,0.00001767593,0.0000040424184,0.8852229,0.00015712362,0.045784287,0.028826086,0.000689795],"about_ca_topic_score_codex":0.0000047245285,"about_ca_topic_score_gemma":0.000004194182,"teacher_disagreement_score":0.65859884,"about_ca_system_score_codex":0.000035145193,"about_ca_system_score_gemma":0.00025996746,"threshold_uncertainty_score":0.9999404},"labels":[],"label_agreement":null},{"id":"W1501309142","doi":"10.1017/s0140525x01400100","title":"Theory of event coding: Interesting, but underspecified","year":2001,"lang":"en","type":"article","venue":"Behavioral and Brain Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Perception; Computer science; Coding (social sciences); Cognitive science; Action (physics); Event (particle physics); Predictive coding; Coding theory; Cognitive psychology; Psychology; Theoretical computer science; Mathematics; Neuroscience; Physics","score_opus":0.17096420993925754,"score_gpt":0.3496950081806377,"score_spread":0.17873079824138016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1501309142","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99564284,0.00002303678,0.0006269952,0.0010206708,0.00024874913,0.00009606279,0.0000045656516,0.00003219099,0.0023048616],"genre_scores_gemma":[0.9979096,0.00003147911,0.00008809962,0.0003943545,0.000029796709,0.000002971414,4.4135882e-7,0.000003851099,0.0015393712],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989697,0.00008852711,0.00017577001,0.00032673255,0.00024464726,0.00019464016],"domain_scores_gemma":[0.99947053,0.00026153296,0.00009631743,0.000091456845,0.000019309395,0.000060874783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043744917,0.00009200163,0.00010945005,0.00008745826,0.00022933456,0.000057998688,0.00019285128,0.000025008965,0.00008319169],"category_scores_gemma":[0.00017658732,0.00006591329,0.00004077877,0.00032437695,0.0006970582,0.00019011422,0.00008741668,0.00007299765,0.000004474268],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043902484,0.0001403998,0.009537927,0.000006301266,6.592577e-7,0.000020392881,0.00022810281,0.000010663678,0.8373884,0.11459107,0.00017676038,0.037855413],"study_design_scores_gemma":[0.0029174886,0.0060706385,0.18480647,0.00042334324,0.00009235076,0.0011326111,0.01159549,0.011353399,0.5905394,0.17659333,0.012470134,0.0020053156],"about_ca_topic_score_codex":0.000050834922,"about_ca_topic_score_gemma":0.000023692886,"teacher_disagreement_score":0.24684899,"about_ca_system_score_codex":0.000010356399,"about_ca_system_score_gemma":0.00002156873,"threshold_uncertainty_score":0.2687866},"labels":[],"label_agreement":null},{"id":"W1502005084","doi":"10.1523/jneurosci.2421-14.2015","title":"Amphetamine Exerts Dose-Dependent Changes in Prefrontal Cortex Attractor Dynamics during Working Memory","year":2015,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institute on Alcohol Abuse and Alcoholism; Natural Sciences and Engineering Research Council of Canada","keywords":"Monoamine neurotransmitter; Prefrontal cortex; Working memory; Neuroscience; Attractor; Psychology; Population; Cognition; Chemistry; Mathematics; Medicine; Receptor; Serotonin","score_opus":0.06247286781558276,"score_gpt":0.27028650661471,"score_spread":0.20781363879912723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1502005084","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949182,0.000033558506,0.00012640169,0.00064564863,0.0036146448,0.00015811493,0.0000045484817,0.000026763462,0.00047208872],"genre_scores_gemma":[0.998276,0.000094724186,0.000051010513,0.00054974284,0.00020600914,0.0000026901516,2.6671492e-7,0.000022405045,0.00079713063],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9975319,0.00014203059,0.00049172936,0.0004215151,0.0009775839,0.00043522427],"domain_scores_gemma":[0.998761,0.00011981842,0.0005497338,0.0002174759,0.00007481327,0.00027715077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005314295,0.00019711176,0.00028517263,0.0003590784,0.000126323,0.00015714622,0.00059564103,0.00006120067,0.0000057239863],"category_scores_gemma":[0.00088409527,0.00016432522,0.00007671276,0.0006022473,0.00015536588,0.0006658934,0.00016599204,0.0004742357,0.0000050379454],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013833534,0.00014787636,0.003181957,0.000009583084,5.449866e-7,0.00079442794,0.00014854953,0.0010833767,0.99158055,0.000037604063,0.000015234507,0.002861948],"study_design_scores_gemma":[0.0039816904,0.0019239488,0.739438,0.00031788583,0.000027887956,0.006814498,0.00048471065,0.06976914,0.17519414,0.0004298776,0.00080002384,0.00081819284],"about_ca_topic_score_codex":0.000011478673,"about_ca_topic_score_gemma":0.0002096856,"teacher_disagreement_score":0.8163864,"about_ca_system_score_codex":0.00032005456,"about_ca_system_score_gemma":0.0001110668,"threshold_uncertainty_score":0.67009884},"labels":[],"label_agreement":null},{"id":"W1503602982","doi":"10.1038/35039062","title":"Information processing with population codes","year":2000,"lang":"en","type":"review","venue":"Nature reviews. Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":782,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Neural coding; Population; Encoding (memory); Coding (social sciences); Decoding methods; Computer science; Stimulus (psychology); Information processing; Computation; Neural decoding; Information theory; Theoretical computer science; Neuroscience; Artificial intelligence; Algorithm; Biology; Psychology; Mathematics; Cognitive psychology","score_opus":0.04433618484658873,"score_gpt":0.33611917430805544,"score_spread":0.2917829894614667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1503602982","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00001187973,0.99532497,0.00016336588,0.00004815707,0.0007202424,0.0019882384,0.000052301195,0.00018073399,0.0015100999],"genre_scores_gemma":[0.00020986075,0.9969102,0.000098408666,0.0021043997,0.00012571004,0.00014004928,0.00007989525,0.000042169555,0.00028930246],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964798,0.00042131176,0.000957978,0.0008195705,0.00082047255,0.0005008509],"domain_scores_gemma":[0.99796927,0.00013964348,0.0011164643,0.0005756761,0.000050717605,0.00014820612],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042469677,0.0006489624,0.0014205831,0.00040348986,0.0004914562,0.00055624766,0.0008378444,0.00046556952,0.000021762884],"category_scores_gemma":[0.0008964428,0.00039992112,0.0003060664,0.0026534142,0.0001693312,0.0020001326,0.00008473114,0.0016030789,0.00014777009],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004796293,0.00001847366,0.0000010067579,0.005496593,3.8427174e-7,0.0000060791754,0.000007849348,0.0000055470314,0.000016683383,0.0002805277,0.00018110106,0.99398094],"study_design_scores_gemma":[0.000066175715,0.00008778973,0.000016066684,0.007917029,0.00010752135,0.000374541,5.379017e-7,0.00024448324,0.0000067684387,0.000036889036,0.99069685,0.00044533957],"about_ca_topic_score_codex":0.0000037469756,"about_ca_topic_score_gemma":0.0000026601754,"teacher_disagreement_score":0.99353564,"about_ca_system_score_codex":0.00011678312,"about_ca_system_score_gemma":0.00020279107,"threshold_uncertainty_score":0.99984527},"labels":[],"label_agreement":null},{"id":"W1507893557","doi":"10.1016/j.tics.2015.04.006","title":"Hierarchical process memory: memory as an integral component of information processing","year":2015,"lang":"en","type":"review","venue":"Trends in Cognitive Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":828,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Institute of Mental Health","keywords":"Information processing; Computer science; Electrocorticography; Process (computing); Working memory; Focus (optics); Neuroscience; Psychology; Cognition; Electroencephalography","score_opus":0.24440512957343538,"score_gpt":0.4538164105301035,"score_spread":0.20941128095666814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1507893557","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.061461322,0.73225904,0.00029853423,0.00035438524,0.0032099143,0.0035381748,0.0007788334,0.0004758962,0.19762391],"genre_scores_gemma":[0.2960328,0.7005197,0.00035122654,0.0007404647,0.0003740323,0.0004335978,0.0006210056,0.00008153952,0.00084569666],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966699,0.00044749983,0.00079375936,0.0006708213,0.0010182211,0.0003997855],"domain_scores_gemma":[0.99845713,0.0003361977,0.0007120121,0.00014561783,0.0001996829,0.00014937705],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012062824,0.0003778258,0.0009367257,0.0014001158,0.00020936743,0.00019510312,0.0007146925,0.00017215009,0.00006506475],"category_scores_gemma":[0.0008623273,0.0002660837,0.00014964491,0.002895484,0.0012571064,0.0017408049,0.00013261585,0.00058007834,0.000024892155],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024284012,0.000101440644,0.0000029457942,0.0009861945,0.0000021987473,0.000006426821,0.00064382394,0.000008384523,0.000008102701,0.00023175451,0.00001046985,0.997974],"study_design_scores_gemma":[0.014947912,0.028249722,0.0007938665,0.232082,0.003416722,0.0040290966,0.040169507,0.15645589,0.009547345,0.07966738,0.4122218,0.018418767],"about_ca_topic_score_codex":0.000038336482,"about_ca_topic_score_gemma":0.000024044826,"teacher_disagreement_score":0.9795552,"about_ca_system_score_codex":0.000089660774,"about_ca_system_score_gemma":0.00070611975,"threshold_uncertainty_score":0.99997914},"labels":[],"label_agreement":null},{"id":"W1507917703","doi":"10.1016/s0079-6123(05)49003-2","title":"The vibrissal system as a model of thalamic operations","year":2005,"lang":"en","type":"review","venue":"Progress in brain research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Thalamic reticular nucleus; Sensory system; Disinhibition; Thalamus; Zona incerta; Brainstem; Biology; Cortex (anatomy); Synapse; Reticular formation; Spinal cord; Nucleus; Anatomy","score_opus":0.24601807838765166,"score_gpt":0.48085418629442245,"score_spread":0.23483610790677079,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1507917703","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00034620476,0.99386656,0.000021984426,0.0008606634,0.00020512666,0.0024224282,0.00006173703,0.000056814388,0.002158457],"genre_scores_gemma":[0.005728191,0.9901601,0.00008707339,0.000022784285,0.00014498759,0.0011232102,0.00001231084,0.00006729718,0.0026540642],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99469435,0.0018477994,0.0007797193,0.0007197368,0.0012312548,0.0007271662],"domain_scores_gemma":[0.9960246,0.002806783,0.00014827932,0.00077201566,0.00015657941,0.00009174835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030241024,0.00028029087,0.00071461353,0.0005022798,0.00053698354,0.00029762235,0.0013180595,0.0002546363,0.000008289927],"category_scores_gemma":[0.0014901813,0.00017556357,0.0002317084,0.001365579,0.0007364783,0.00013891152,0.000505024,0.0013656275,0.000092139846],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013988231,0.00007913914,0.000002234208,0.003259074,0.000008320339,0.00002105556,0.000044498465,0.00021688807,0.000044348904,0.05701485,0.00017896188,0.93911666],"study_design_scores_gemma":[0.0003139856,0.00020271177,0.0000020921916,0.009175863,0.000031506654,0.0001415845,0.00007806769,0.4173555,0.00008347993,0.0006057756,0.57158715,0.00042225752],"about_ca_topic_score_codex":0.000021478945,"about_ca_topic_score_gemma":0.000049208225,"teacher_disagreement_score":0.93869436,"about_ca_system_score_codex":0.0003168518,"about_ca_system_score_gemma":0.0006966632,"threshold_uncertainty_score":0.7159275},"labels":[],"label_agreement":null},{"id":"W1508258094","doi":"10.1038/78847","title":"Fixation neurons in the superior colliculus encode distance between current and desired gaze positions","year":2000,"lang":"en","type":"article","venue":"Nature Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Gaze; Fixation (population genetics); Superior colliculus; Neuroscience; Eye movement; Superior Colliculi; Psychology; Brainstem; Computer science; Computer vision; Communication; Visual system; Visual cortex; Biology","score_opus":0.024013192409938478,"score_gpt":0.28199935562506173,"score_spread":0.25798616321512324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1508258094","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947566,0.000108841996,0.00023012869,0.0030360378,0.00052487367,0.0004397059,0.000078376834,0.000055906825,0.00076954835],"genre_scores_gemma":[0.996065,0.0003051984,0.000020880007,0.0033271774,0.00007721879,0.0000306473,0.000004625937,0.000010386625,0.00015884115],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9980785,0.0002509134,0.00021063634,0.0006484439,0.00046834053,0.00034312133],"domain_scores_gemma":[0.99910414,0.00045033963,0.000057720332,0.00028657916,0.000019902296,0.000081341765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020075281,0.00016741769,0.0001270576,0.000091781505,0.0005019887,0.00023202087,0.0004596278,0.00008455238,0.000014149397],"category_scores_gemma":[0.000599127,0.00012130497,0.00004117784,0.0011788248,0.00028941722,0.00043114874,0.000041483752,0.00071329327,0.000008588648],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010382016,0.00041985788,0.016494175,0.00004300199,7.075168e-7,0.00013156168,0.00087174046,0.000924709,0.8468294,0.014115817,0.00083609787,0.11922911],"study_design_scores_gemma":[0.00082795665,0.00043444362,0.87741613,0.000077816105,0.000024013849,0.00019923606,0.000035679965,0.029401165,0.016646799,0.002692666,0.07165234,0.000591729],"about_ca_topic_score_codex":0.0000074801856,"about_ca_topic_score_gemma":0.000024461762,"teacher_disagreement_score":0.860922,"about_ca_system_score_codex":0.00003202038,"about_ca_system_score_gemma":0.000036033918,"threshold_uncertainty_score":0.49466732},"labels":[],"label_agreement":null},{"id":"W1509610055","doi":"10.1113/jphysiol.2011.206938","title":"Neural mechanism of activity spread in the cat motor cortex and its relation to the intrinsic connectivity","year":2011,"lang":"en","type":"article","venue":"The Journal of Physiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Neuroscience; Mechanism (biology); Motor cortex; Neural activity; Relation (database); CATS; Cortex (anatomy); Cerebral cortex; Chemistry; Psychology; Physics; Medicine; Computer science; Internal medicine; Stimulation","score_opus":0.04354347154251645,"score_gpt":0.2550361216645342,"score_spread":0.21149265012201776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1509610055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981075,0.000008701651,0.000075482065,0.0012053679,0.00032775992,0.00021390943,0.0000031300422,0.0000024097694,0.000055743305],"genre_scores_gemma":[0.99930495,0.000037687587,0.000004055063,0.00057199184,0.0000639035,0.0000020373327,6.418847e-8,0.000004011017,0.000011319302],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99880487,0.000726377,0.00015924117,0.0000884091,0.000113871756,0.000107216045],"domain_scores_gemma":[0.9988224,0.0007080505,0.00026828458,0.00014158788,0.000039414932,0.00002025429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061378034,0.00006996031,0.00013939406,0.000048174068,0.00009094603,0.0000049671007,0.00025816486,0.000032212833,0.000008707311],"category_scores_gemma":[0.00033252966,0.000030308885,0.000037926664,0.00014584156,0.00006653649,0.00012482116,0.00006545392,0.00023500141,0.0000023253388],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039837844,0.00004599985,0.000032547516,0.0000033958117,0.0000029214202,0.0000016245226,0.0009821735,0.000038300906,0.99358827,0.003960773,0.000011411367,0.00093420356],"study_design_scores_gemma":[0.00033918754,0.0013528098,0.79420435,0.000011474381,0.000027327078,0.00018288089,0.0001628228,0.0088923145,0.17868216,0.016058244,0.000018360703,0.000068045345],"about_ca_topic_score_codex":0.000060029124,"about_ca_topic_score_gemma":0.00004777355,"teacher_disagreement_score":0.8149061,"about_ca_system_score_codex":0.000013981585,"about_ca_system_score_gemma":0.000014408326,"threshold_uncertainty_score":0.12359605},"labels":[],"label_agreement":null},{"id":"W1513439718","doi":"10.3917/dbu.clara.2008.01.0215","title":"Conclusion. Le cerveau câblé","year":2008,"lang":"en","type":"book-chapter","venue":"Neurosciences & cognition. Série LMD","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Musée de la Civilisation","funders":"","keywords":"Philosophy","score_opus":0.04800040190305528,"score_gpt":0.24493607007572238,"score_spread":0.1969356681726671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1513439718","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0035575384,0.00016389447,0.00025095858,0.0016802832,0.0076652714,0.00095226226,0.00050528476,0.0005465311,0.984678],"genre_scores_gemma":[0.34683478,0.0029666042,0.000055469733,0.010832524,0.00066949404,0.000048436694,0.00007932337,0.00014605068,0.6383673],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9948971,0.00011918785,0.0007269745,0.0019733699,0.001541327,0.00074203423],"domain_scores_gemma":[0.99763846,0.00056161144,0.0005961483,0.0006452926,0.00020857193,0.00034993913],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00019842664,0.00073573046,0.000587218,0.00042407642,0.0017894674,0.00032586392,0.0009863845,0.00040285522,0.0011620295],"category_scores_gemma":[0.0006308597,0.00068937975,0.00040230417,0.0003503514,0.0015930787,0.00071016274,0.00050291925,0.00095078326,0.0014919795],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029074095,0.00069561455,0.000021737711,0.00021032926,0.000028759368,0.0032905834,0.0003284727,0.00024541354,0.62518936,0.1621999,0.17396876,0.03353033],"study_design_scores_gemma":[0.0011317118,0.0011703352,0.00012944097,0.00023295665,0.000089692,0.0012772683,0.000017588782,0.0021472194,0.019116336,0.038362045,0.9345407,0.0017847377],"about_ca_topic_score_codex":0.000024488216,"about_ca_topic_score_gemma":0.000012408374,"teacher_disagreement_score":0.7605719,"about_ca_system_score_codex":0.0000707684,"about_ca_system_score_gemma":0.0004306494,"threshold_uncertainty_score":0.99975103},"labels":[],"label_agreement":null},{"id":"W1513564831","doi":"10.1016/s0079-6123(03)42009-8","title":"Neural control of 3-D gaze shifts in the primate","year":2003,"lang":"en","type":"review","venue":"Progress in brain research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Gaze; Superior colliculus; Computer science; Kinematics; Brainstem; Redundancy (engineering); Neuroscience; Artificial intelligence; Computer vision; Communication; Psychology; Physics","score_opus":0.20163527924251914,"score_gpt":0.47210430267065756,"score_spread":0.2704690234281384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1513564831","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000694095,0.9931361,0.00000350554,0.0011064177,0.0002630961,0.0034349223,0.000045667122,0.00001983246,0.0012963712],"genre_scores_gemma":[0.015060405,0.983192,0.000017812392,0.00030501944,0.00007240926,0.001071788,0.000011001548,0.000062219864,0.00020731502],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.98976,0.006264694,0.00084968156,0.000796599,0.0013756454,0.0009533862],"domain_scores_gemma":[0.9931084,0.0057749287,0.0002489848,0.0007214123,0.0000775866,0.000068695124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062188036,0.0003280386,0.0010255805,0.00086677657,0.0001243713,0.00016871485,0.0014801491,0.00026092614,0.000033142045],"category_scores_gemma":[0.0023699512,0.00020538755,0.00023315739,0.0026422797,0.0007304545,0.00012704731,0.00019783861,0.002082787,0.000028972156],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035999645,0.0002676318,0.0002380477,0.0056516,0.000005303513,0.00023055432,0.000105380794,0.0000032138303,0.000013957952,0.007079901,0.00025435424,0.986114],"study_design_scores_gemma":[0.001174961,0.0004451182,0.00032771786,0.0063361647,0.0000261026,0.000089515925,0.000039856495,0.0021627215,0.000022437374,0.001976547,0.9868922,0.000506642],"about_ca_topic_score_codex":0.0000125155375,"about_ca_topic_score_gemma":0.000019721956,"teacher_disagreement_score":0.9866379,"about_ca_system_score_codex":0.00013653362,"about_ca_system_score_gemma":0.00024099345,"threshold_uncertainty_score":0.9048789},"labels":[],"label_agreement":null},{"id":"W1516609261","doi":"10.1113/jphysiol.2012.227462","title":"Interneuron‐mediated inhibition synchronizes neuronal activity during slow oscillation","year":2012,"lang":"en","type":"article","venue":"The Journal of Physiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":108,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Institute of Neurological Disorders and Stroke; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Neuroscience; Inhibitory postsynaptic potential; Local field potential; Interneuron; Electrophysiology; Premovement neuronal activity; Slow-wave sleep; Oscillation (cell signaling); Electroencephalography; Sleep spindle; Sleep (system call); Biology; Physics; Computer science","score_opus":0.021964350981300163,"score_gpt":0.24737062007377872,"score_spread":0.22540626909247855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1516609261","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980848,0.000012191989,0.00012956845,0.00050146005,0.0011102236,0.0000714438,0.0000024284159,0.00001481782,0.00007309682],"genre_scores_gemma":[0.9990078,0.0000660735,0.0000052765945,0.0003202263,0.0005338769,8.0249634e-7,7.47157e-7,0.000010362853,0.000054827062],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99887854,0.00044656108,0.00019887762,0.00008817286,0.00016959834,0.0002182629],"domain_scores_gemma":[0.9991185,0.00032839432,0.00035231723,0.00010399545,0.00003955169,0.000057237863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024626483,0.00009645804,0.0001379386,0.000071704475,0.00013091745,0.000010714156,0.0001214436,0.000040113842,0.000045436125],"category_scores_gemma":[0.0003136248,0.000060193724,0.00006873264,0.00012707255,0.00010215221,0.00041553652,0.00006517198,0.00031121995,0.00002660549],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020806243,0.00005908148,0.0002643923,0.000008274013,0.000003503436,0.0000014420002,0.00007932467,0.0002925711,0.9986464,0.000099612764,0.00005152068,0.00028584877],"study_design_scores_gemma":[0.00038474298,0.00027033323,0.3690023,0.000012566107,0.000016211561,0.00026050457,0.000009918193,0.0016057416,0.62790066,0.00032181767,0.00013807364,0.000077130295],"about_ca_topic_score_codex":0.0000040724512,"about_ca_topic_score_gemma":0.0000015936566,"teacher_disagreement_score":0.37074572,"about_ca_system_score_codex":0.00004716426,"about_ca_system_score_gemma":0.000015694355,"threshold_uncertainty_score":0.24546288},"labels":[],"label_agreement":null},{"id":"W1518568231","doi":"10.1002/hbm.22547","title":"Oscillations, networks, and their development: MEG connectivity changes with age","year":2014,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; SickKids Foundation; Hospital for Sick Children","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Magnetoencephalography; Resting state fMRI; Neurophysiology; Psychology; Neuroscience; Functional connectivity; Brain mapping; Brain activity and meditation; Electroencephalography","score_opus":0.03913752173531296,"score_gpt":0.22905196416561768,"score_spread":0.18991444243030473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1518568231","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9645737,0.000015743984,0.030972967,0.0014442926,0.000102777565,0.00020662326,0.0000013577911,0.00013470705,0.0025478601],"genre_scores_gemma":[0.99715596,0.0000044863395,0.00012477076,0.0019699268,0.000120190765,0.000014883596,0.000006542876,0.000016909804,0.0005863315],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990687,0.00013193215,0.00009593589,0.00036843313,0.00010361381,0.00023142283],"domain_scores_gemma":[0.9992846,0.00040676867,0.00008040717,0.00015300323,0.000016154647,0.000059057304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033402903,0.00014469838,0.00014045228,0.00008989856,0.0007176151,0.00011811968,0.00008992299,0.00004076956,0.00001209976],"category_scores_gemma":[0.00014837271,0.00011061014,0.000014498769,0.00017587752,0.00010685292,0.00010757393,0.00006906479,0.00012052993,0.0000033763883],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021228518,0.000044260305,0.0045988886,0.000070841874,0.000016015463,0.000013419225,0.0018460753,0.0008150634,0.9072793,0.052724995,0.0007192016,0.031850673],"study_design_scores_gemma":[0.0021443102,0.0005093089,0.55168873,0.00040178114,0.000013410956,0.00013013938,0.00046431168,0.120762445,0.010084429,0.010118749,0.3020677,0.0016146967],"about_ca_topic_score_codex":0.000005408162,"about_ca_topic_score_gemma":0.00021412858,"teacher_disagreement_score":0.8971949,"about_ca_system_score_codex":0.000022426553,"about_ca_system_score_gemma":0.000008066279,"threshold_uncertainty_score":0.5519388},"labels":[],"label_agreement":null},{"id":"W1519597464","doi":"10.1016/s0079-6123(06)65029-2","title":"From a representation of behavior to the concept of cognitive syntax: a theoretical framework","year":2007,"lang":"en","type":"review","venue":"Progress in brain research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Modular design; Computer science; Cognition; Task (project management); Syntax; Cognitive science; Process (computing); Prefrontal cortex; Mental operations; Construct (python library); Representation (politics); Psychology; Artificial intelligence; Cognitive psychology; Neuroscience","score_opus":0.2196703347772718,"score_gpt":0.5252106288695085,"score_spread":0.3055402940922367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1519597464","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010882351,0.97694063,0.00056262146,0.0011557876,0.0005614358,0.00845085,0.00082964066,0.000036751928,0.0005799135],"genre_scores_gemma":[0.17808375,0.81708527,0.00064145203,0.00023976855,0.00056463474,0.0029274318,0.00013702457,0.00014061012,0.00018003512],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99359566,0.0027001116,0.00084315846,0.00082765595,0.001484951,0.000548462],"domain_scores_gemma":[0.97157145,0.02715391,0.00029141852,0.00060641504,0.00026634886,0.00011045868],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0023137508,0.0002477459,0.00092349213,0.0005733958,0.000103917766,0.00006897599,0.000936267,0.00036003336,0.00018722004],"category_scores_gemma":[0.015882801,0.00016349932,0.0002494392,0.0027568215,0.002241249,0.00006258661,0.00056141964,0.0015720181,0.000027837497],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010836546,0.0002624044,0.00010328198,0.0005551178,0.000013615133,0.00006599584,0.00074625417,3.3840234e-7,0.000022598302,0.032245085,0.000094349474,0.9657826],"study_design_scores_gemma":[0.004588512,0.0092384275,0.0043883966,0.33878505,0.0016964994,0.00029714024,0.007790314,0.0016327901,0.03595725,0.13433588,0.4564084,0.004881335],"about_ca_topic_score_codex":0.00005992228,"about_ca_topic_score_gemma":0.000009358753,"teacher_disagreement_score":0.96090126,"about_ca_system_score_codex":0.000084538384,"about_ca_system_score_gemma":0.00017990262,"threshold_uncertainty_score":0.99240685},"labels":[],"label_agreement":null},{"id":"W1520127354","doi":"10.1109/ijcnn.2005.1555840","title":"Motivational modulation of endogenous inputs to the superior colliculus","year":2006,"lang":"en","type":"article","venue":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Superior colliculus; Saccadic masking; Saccade; Neuroscience; Brainstem; Attractor; Eye movement; Mechanism (biology); Computer science; Endogeny; Indirect pathway of movement; Basal ganglia; Psychology; Biology; Physics; Central nervous system; Mathematics","score_opus":0.05804458278765941,"score_gpt":0.25497124512819264,"score_spread":0.19692666234053324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1520127354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97036546,0.000012381775,0.0034606433,0.013127319,0.0024769604,0.0008953465,0.00009140186,0.00013237311,0.009438109],"genre_scores_gemma":[0.9948372,0.00004114485,0.00013158699,0.0022289266,0.0012422099,0.000081487706,0.000031570933,0.000031350864,0.0013744691],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972971,0.00003698921,0.00065772404,0.0006173391,0.00089016306,0.0005007037],"domain_scores_gemma":[0.9988374,0.000115040944,0.00035834065,0.00015473364,0.00041325967,0.00012124169],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002653558,0.00030688962,0.00026712412,0.00023401261,0.00023915782,0.00023997191,0.00054781453,0.00010410726,0.00023280088],"category_scores_gemma":[0.00020320916,0.00023702405,0.00013624443,0.00034950182,0.000118531156,0.00039797212,0.000091719136,0.00032702333,0.00005332865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022290098,0.00022581515,0.00081884384,0.000010505642,0.000014562134,0.000008235087,0.000058225585,0.22842358,0.72001266,0.039020285,0.007953647,0.0032307345],"study_design_scores_gemma":[0.00048881467,0.00018915057,0.0069801654,0.0000689384,0.000011596361,0.00009681587,0.000015424572,0.9155637,0.07095279,0.001155737,0.004153493,0.00032336774],"about_ca_topic_score_codex":0.000057177785,"about_ca_topic_score_gemma":0.000055680262,"teacher_disagreement_score":0.6871401,"about_ca_system_score_codex":0.00017473566,"about_ca_system_score_gemma":0.00005082836,"threshold_uncertainty_score":0.966556},"labels":[],"label_agreement":null},{"id":"W1524025360","doi":"10.1007/978-3-540-74913-4_18","title":"Developmental Neural Heterogeneity Through Coarse-Coding Regulation","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Neural coding; Coding (social sciences); Computer science; Adaptability; Homogeneous; Process (computing); Neuroscience; Artificial intelligence; Biology; Mathematics","score_opus":0.06253186979634819,"score_gpt":0.28153047321617236,"score_spread":0.2189986034198242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1524025360","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02243973,0.00003634535,0.9665815,0.00025899019,0.0026512481,0.0004483369,0.000010019934,0.0001475158,0.0074262936],"genre_scores_gemma":[0.95246345,0.000028213688,0.04205052,0.004377089,0.000503955,0.000003906797,0.0000098136925,0.000052005144,0.0005110733],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99676174,0.00003143786,0.00044712785,0.0013145922,0.00088376633,0.0005613477],"domain_scores_gemma":[0.9988641,0.00040399452,0.0002407844,0.00031998142,0.000073896685,0.00009721397],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00041506568,0.00041837466,0.0003149367,0.00038047947,0.0004079225,0.00025277594,0.0007328863,0.00024971337,0.000047861355],"category_scores_gemma":[0.00016004119,0.00038484158,0.00010620899,0.00042516485,0.0006419104,0.0005112751,0.00044039308,0.00061512046,0.000043357224],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051429673,0.00003852231,0.00013733789,0.00004447759,0.00000477165,0.00017600576,0.00039054616,0.027140409,0.14590798,0.011561316,0.000021944728,0.81452525],"study_design_scores_gemma":[0.00046432856,0.00022079442,0.0009712513,0.00026889087,0.00001170025,0.0005223755,2.3530903e-7,0.73333305,0.1987375,0.061707348,0.0025630654,0.0011994706],"about_ca_topic_score_codex":0.000012619776,"about_ca_topic_score_gemma":0.00009152253,"teacher_disagreement_score":0.93002367,"about_ca_system_score_codex":0.0004190456,"about_ca_system_score_gemma":0.00014250363,"threshold_uncertainty_score":0.99986035},"labels":[],"label_agreement":null},{"id":"W1530825057","doi":"10.1113/jphysiol.2007.134999","title":"Effect of localized innervation of the dendritic trees of feline motoneurons on the amplification of synaptic input: a computational study","year":2007,"lang":"en","type":"article","venue":"The Journal of Physiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Canadian Institutes of Health Research","funders":"Canadian Institutes of Health Research","keywords":"Soma; Excitatory postsynaptic potential; Neuroscience; Synapse; Dendritic spine; Chemistry; Biology; Biophysics; Hippocampal formation; Inhibitory postsynaptic potential","score_opus":0.024800433894057693,"score_gpt":0.2904441964964547,"score_spread":0.265643762602397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1530825057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981962,0.000008016404,0.0009513235,0.0003229049,0.00015737451,0.0003430892,0.0000062225854,0.000001930943,0.000012967802],"genre_scores_gemma":[0.999831,0.000013622615,0.000012680262,0.000099102894,0.00003090793,0.0000014539997,6.7914493e-7,0.000005817333,0.000004708721],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99783504,0.0010950655,0.0006059189,0.00007931965,0.00029918048,0.00008546315],"domain_scores_gemma":[0.9944383,0.004065342,0.0010957085,0.00020443312,0.00018334032,0.000012905444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013696448,0.000081440034,0.0002686145,0.000087820634,0.00006118518,0.0000017854493,0.00033057423,0.000028750803,0.0000064387114],"category_scores_gemma":[0.00084380567,0.000036081143,0.0001023459,0.00032540428,0.00031237918,0.00003808055,0.000044332173,0.00017031831,4.1608777e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009128568,0.00027984811,0.00054158986,0.000029330782,0.000025346348,2.748838e-7,0.00022708866,0.036218498,0.959743,0.0016468,0.000009038174,0.00036630424],"study_design_scores_gemma":[0.0013740822,0.006982598,0.31790012,0.00009576111,0.00015531853,0.000025301477,0.00020734048,0.03786465,0.6311202,0.0042109005,0.0000029781065,0.00006070482],"about_ca_topic_score_codex":0.00002273497,"about_ca_topic_score_gemma":0.0000075497255,"teacher_disagreement_score":0.3286228,"about_ca_system_score_codex":0.000015016828,"about_ca_system_score_gemma":0.000027617836,"threshold_uncertainty_score":0.14713463},"labels":[],"label_agreement":null},{"id":"W153317153","doi":"10.1023/a:1025881007453","title":"The Influences of Ih on Temporal Summation in Hippocampal CA1 Pyramidal Neurons: A Modeling Study","year":2003,"lang":"en","type":"article","venue":"Journal of Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland; University of British Columbia","funders":"","keywords":"Neuroscience; Hippocampal formation; Summation; Hyperpolarization (physics); Normalization (sociology); Physics; Chemistry; Biology; Nuclear magnetic resonance","score_opus":0.05220251626336465,"score_gpt":0.304852205805885,"score_spread":0.2526496895425204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W153317153","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99628747,0.000010053289,0.0021239324,0.0004346738,0.0008521193,0.00020732691,0.000002186145,0.000006910748,0.00007534026],"genre_scores_gemma":[0.9993553,0.000012729691,0.000110381734,0.00047480868,0.000026146652,0.000002629298,1.3373459e-7,0.000007331576,0.00001053941],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973266,0.00045200225,0.00073070644,0.00024365961,0.0010473568,0.00019966875],"domain_scores_gemma":[0.99827933,0.0008318503,0.0005302599,0.0001182886,0.00017598034,0.000064295185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009768803,0.00012389872,0.00017620587,0.00025366014,0.0002602409,0.00012155595,0.0003960322,0.000022590064,0.0000019221204],"category_scores_gemma":[0.002180948,0.000084845604,0.0000720076,0.0007634433,0.00022818559,0.0004632025,0.000031444604,0.00030296747,0.0000013369487],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009323004,0.00029455026,0.0059543555,0.0000035799335,8.1720844e-7,0.000031521315,0.00014027997,0.96624815,0.019292139,0.0069529195,0.000007873688,0.000980582],"study_design_scores_gemma":[0.0008503605,0.001307755,0.057224102,0.000038373415,0.0000060867083,0.00014683406,0.00022106046,0.90971076,0.001960856,0.028302724,0.00009403973,0.00013704647],"about_ca_topic_score_codex":0.0000070247143,"about_ca_topic_score_gemma":0.0000075841176,"teacher_disagreement_score":0.05653739,"about_ca_system_score_codex":0.0000381291,"about_ca_system_score_gemma":0.00019173781,"threshold_uncertainty_score":0.34599033},"labels":[],"label_agreement":null},{"id":"W1533460330","doi":"","title":"Age-related effects on temporal processing speed in the inferior colliculus (IC)","year":2001,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Inferior colliculus; Audiology; Neuroscience; Superior colliculus; Cortex (anatomy); Temporal cortex; Psychology; Medicine","score_opus":0.021504130802412067,"score_gpt":0.23969173657255596,"score_spread":0.2181876057701439,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1533460330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917335,0.000009873037,0.000056526616,0.0015367293,0.0004575432,0.0003906077,0.0000110849805,0.000035002242,0.00576912],"genre_scores_gemma":[0.9922619,0.000010122004,0.00001238695,0.006648124,0.000087338456,0.0000074010204,0.000007672937,0.000018581506,0.000946485],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99891675,0.00009171184,0.00016322506,0.00024935466,0.00019140173,0.00038754454],"domain_scores_gemma":[0.99938416,0.00018738123,0.00005256547,0.00018368723,0.000020287647,0.00017191583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014361776,0.00013485596,0.000115078954,0.00018053962,0.00022031282,0.00014313281,0.00022436483,0.00009052069,0.000017730908],"category_scores_gemma":[0.0005037774,0.00010260766,0.000030041832,0.00074463396,0.00007361697,0.00007448357,0.000011210901,0.00029304886,0.00005467776],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009017741,0.00017914419,0.011323545,0.00014390991,0.000007433123,0.015096473,0.0015620752,0.010478769,0.89671844,0.0039031666,0.008475151,0.05202171],"study_design_scores_gemma":[0.003651403,0.0013397473,0.51955116,0.0005300103,0.00010062842,0.00086706586,0.0005592038,0.43174455,0.007209925,0.0056519327,0.027048253,0.0017461164],"about_ca_topic_score_codex":0.0043637594,"about_ca_topic_score_gemma":0.012683592,"teacher_disagreement_score":0.88950855,"about_ca_system_score_codex":0.0002131065,"about_ca_system_score_gemma":0.00021842588,"threshold_uncertainty_score":0.70777416},"labels":[],"label_agreement":null},{"id":"W1536122414","doi":"10.1016/s0079-6123(00)26007-x","title":"Functional anatomy of arousal and attention systems in the human brain","year":2000,"lang":"en","type":"review","venue":"Progress in brain research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":177,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University","funders":"Medical Research Council Canada; Canada Foundation for Innovation","keywords":"Neuroscience; Arousal; Psychology; Thalamus; Sensory system; Prefrontal cortex; Context (archaeology); Auditory cortex; Human brain; Cognitive psychology; Cognition; Biology","score_opus":0.18579522394165646,"score_gpt":0.4600688052996937,"score_spread":0.27427358135803726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1536122414","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013654596,0.9812843,0.0000016794947,0.0011194042,0.00022805389,0.0027898005,0.000046947876,0.000025225387,0.0008499586],"genre_scores_gemma":[0.033321407,0.9638647,0.000006289035,0.00009240289,0.00024355784,0.0012090465,0.00009289036,0.00006578884,0.0011039283],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9927535,0.0037950047,0.00077394955,0.0008033439,0.0012840152,0.00059018884],"domain_scores_gemma":[0.99596363,0.0032541738,0.00020414901,0.00045510518,0.00006175792,0.00006119866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050485865,0.00027776207,0.00075475697,0.001143245,0.00022867754,0.00023427691,0.0006479923,0.0002766646,0.000032690674],"category_scores_gemma":[0.00058676454,0.00019068916,0.00013799642,0.0019382659,0.0007282825,0.00015260937,0.0001958678,0.0014822913,0.000017479035],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003097853,0.00031457221,0.00082527706,0.008909176,0.000010604947,0.00015490559,0.00009112094,0.0000040025348,0.00009080048,0.013324912,0.0018182093,0.97442544],"study_design_scores_gemma":[0.00086074334,0.00039439037,0.0040874085,0.009709782,0.000022604007,0.0002970129,0.000116886215,0.0008813412,0.000004509322,0.0015707533,0.98159486,0.0004597002],"about_ca_topic_score_codex":0.000079619305,"about_ca_topic_score_gemma":0.000040280207,"teacher_disagreement_score":0.9797767,"about_ca_system_score_codex":0.0001323995,"about_ca_system_score_gemma":0.0001369649,"threshold_uncertainty_score":0.7776078},"labels":[],"label_agreement":null},{"id":"W1537993470","doi":"10.1046/j.1460-9568.2000.00020.x","title":"Relationships between image structure and gamma oscillations and synchronization in visual cortex of cats","year":2000,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Visual cortex; Stimulus (psychology); Receptive field; Classification of discontinuities; Neuroscience; Excitatory postsynaptic potential; CATS; Physics; Synchronization (alternating current); Communication; Psychology; Mathematics; Computer science; Inhibitory postsynaptic potential; Mathematical analysis; Topology (electrical circuits); Cognitive psychology; Combinatorics","score_opus":0.0280679543666847,"score_gpt":0.25847069134842665,"score_spread":0.23040273698174196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1537993470","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984419,0.000020818652,0.000664767,0.00024934177,0.00012686805,0.000078707046,0.0000134720885,0.0000073377414,0.0003968132],"genre_scores_gemma":[0.99946004,0.00013092541,0.00016896027,0.00009797339,0.00005075069,8.97951e-8,5.9825953e-7,0.000011770608,0.00007886911],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984252,0.00051153946,0.0004248853,0.0002345022,0.00026505603,0.00013884681],"domain_scores_gemma":[0.99929476,0.0001889504,0.00027189372,0.00009021695,0.000050213213,0.00010399352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004496407,0.0000978418,0.00014398215,0.00019914539,0.00016886105,0.0000769251,0.00015225195,0.000018527822,0.0000144247915],"category_scores_gemma":[0.0007347332,0.000084341125,0.000022282611,0.000536779,0.00029245703,0.00054746715,0.000040396844,0.00029298646,0.0000015101408],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021181324,0.00002299693,0.02483161,0.000010984428,4.890587e-7,0.00006710784,0.00025450223,0.00048832415,0.9606521,0.00011282177,0.000011392242,0.013526497],"study_design_scores_gemma":[0.00032567553,0.0002954393,0.98836184,0.00003608069,0.0000075440607,0.00027054126,0.000015749352,0.0070971586,0.0031191476,0.00019342125,0.00019331973,0.00008408328],"about_ca_topic_score_codex":0.0000015472576,"about_ca_topic_score_gemma":0.0000018715879,"teacher_disagreement_score":0.96353024,"about_ca_system_score_codex":0.000014341257,"about_ca_system_score_gemma":0.000029276747,"threshold_uncertainty_score":0.34393314},"labels":[],"label_agreement":null},{"id":"W1539291827","doi":"10.3389/fpsyg.2015.00734","title":"Visual perception of order-disorder transition","year":2015,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Azrieli Foundation","keywords":"Perception; Observer (physics); Parameterized complexity; Visual perception; Artificial intelligence; Computer science; Statistical physics; Psychology; Physics; Algorithm","score_opus":0.029883047027607995,"score_gpt":0.3187864388696853,"score_spread":0.28890339184207725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1539291827","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82558715,0.000036404854,0.16714612,0.0011167661,0.0029591958,0.00014450026,0.000004572619,0.000029268625,0.002976018],"genre_scores_gemma":[0.99569726,0.00006815828,0.0026946487,0.0013856634,0.00004626747,0.000009487442,0.000007978249,0.000010868922,0.00007964094],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991302,0.00013828956,0.00018664113,0.00027171776,0.00011873748,0.000154446],"domain_scores_gemma":[0.9997422,0.000014331996,0.000054037497,0.00011740472,0.000031326108,0.000040708386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014977969,0.000076390046,0.00013648738,0.00018980693,0.000020009014,0.000004991163,0.00009555176,0.00009521595,0.000033987075],"category_scores_gemma":[0.000089468194,0.00007473308,0.000029506193,0.00037761359,0.00010925277,0.00010680482,0.0000091312795,0.00011971312,0.000016444423],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015093501,0.0012319417,0.027412469,0.00003741502,0.0000098749,0.00003585833,0.0026792313,0.00089630653,0.44286758,0.0009380194,0.053620353,0.4687616],"study_design_scores_gemma":[0.029908568,0.010045259,0.14667653,0.00013663649,0.00009466343,0.00047418807,0.010892598,0.39955994,0.013839737,0.28078628,0.10513634,0.0024492654],"about_ca_topic_score_codex":0.000016068489,"about_ca_topic_score_gemma":0.0000066823645,"teacher_disagreement_score":0.46631232,"about_ca_system_score_codex":0.000025308562,"about_ca_system_score_gemma":0.000015157934,"threshold_uncertainty_score":0.30475265},"labels":[],"label_agreement":null},{"id":"W1547658473","doi":"10.1007/11553090_8","title":"A Coarse-Coding Framework for a Gene-Regulatory-Based Artificial Neural Tissue","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Coding (social sciences); Artificial neural network; Artificial intelligence; Network topology; Neural coding; Gene regulatory network; Scalability; Gene; Biology; Gene expression; Computer network","score_opus":0.03752346464445932,"score_gpt":0.27802196668814955,"score_spread":0.24049850204369022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1547658473","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0032655331,0.000041190844,0.99081373,0.0013368541,0.00334253,0.00080162287,0.00003794827,0.00013808452,0.00022250917],"genre_scores_gemma":[0.77879655,0.0000071107215,0.20865677,0.009179063,0.0028007715,0.000039289105,0.000012755178,0.00010433747,0.00040333875],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99650854,0.00003223083,0.0004729492,0.0015389296,0.00076066627,0.0006866997],"domain_scores_gemma":[0.99752367,0.0012419807,0.00028662654,0.00069027557,0.000102272716,0.00015515105],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038715996,0.00049231306,0.0004360271,0.00052318804,0.00044392128,0.00039804153,0.0009826545,0.00039405833,0.00004966593],"category_scores_gemma":[0.0004700314,0.00045817308,0.00017187723,0.00037984666,0.0006883796,0.00021807043,0.00020796306,0.00076635194,0.00002810198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006403462,0.000037247315,0.0000029738173,0.00003661069,0.0000021121816,0.00004836856,0.00009578847,0.10349027,0.120805874,0.046148505,0.000014872094,0.72925335],"study_design_scores_gemma":[0.00015369113,0.00021565652,0.000011698745,0.00015915996,0.00000988857,0.000026284146,4.45975e-8,0.73660624,0.13356751,0.12779295,0.0009867718,0.00047007157],"about_ca_topic_score_codex":0.0000038995668,"about_ca_topic_score_gemma":0.00002321872,"teacher_disagreement_score":0.78215694,"about_ca_system_score_codex":0.00022602527,"about_ca_system_score_gemma":0.00023433375,"threshold_uncertainty_score":0.999787},"labels":[],"label_agreement":null},{"id":"W1547683470","doi":"10.2139/ssrn.2165139","title":"Organization in Brain for Complementary Communication - Role of Astrocytes Endfoot Processes in Brain Synergy and Cognitive Coherence","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Society of Intestinal Research","funders":"","keywords":"Cognition; Coherence (philosophical gambling strategy); Neuroscience; Psychology; Cognitive psychology; Cognitive science; Physics","score_opus":0.01296402590647892,"score_gpt":0.2569253511858327,"score_spread":0.2439613252793538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1547683470","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99595124,0.0007452004,0.0021260327,0.0008169792,0.000027872347,0.00026426537,0.000013325766,0.000008018958,0.000047077174],"genre_scores_gemma":[0.9991294,0.00045714958,0.000050785868,0.00024313362,0.000028696362,0.000013859582,0.000026739022,0.000013524059,0.00003667089],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986442,0.00014887232,0.00026209696,0.0001346025,0.00012097348,0.00068927434],"domain_scores_gemma":[0.9988795,0.00073271006,0.00019007464,0.000062181825,0.00010050386,0.000035008805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007893152,0.00009403672,0.00012994547,0.00014019932,0.00010659348,0.000024701021,0.00013636227,0.000034318316,0.000011043669],"category_scores_gemma":[0.0012883133,0.00009038765,0.000013091577,0.000427576,0.000056678542,0.00041165552,0.000043346907,0.00039002264,5.590991e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039427055,0.0005847809,0.14710931,0.00009510615,0.000027869955,6.9319225e-7,0.0019626755,0.00008772104,0.7069845,0.093021706,0.00003808938,0.049693264],"study_design_scores_gemma":[0.0092510125,0.0029096678,0.09263636,0.00063989847,0.00007413223,0.00067598,0.018150443,0.0047829235,0.6669121,0.20197856,0.0010718203,0.00091715076],"about_ca_topic_score_codex":0.00008382057,"about_ca_topic_score_gemma":0.0020705997,"teacher_disagreement_score":0.10895685,"about_ca_system_score_codex":0.00017045678,"about_ca_system_score_gemma":0.00032758765,"threshold_uncertainty_score":0.36859015},"labels":[],"label_agreement":null},{"id":"W1552409431","doi":"10.3917/dbu.clara.2008.01.0335","title":"Chapitre 9. De l'activité électrique des assemblées de neurones à la création des neurosciences","year":2008,"lang":"fr","type":"book-chapter","venue":"Neurosciences & cognition. Série LMD","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Musée de la Civilisation","funders":"","keywords":"Philosophy","score_opus":0.05082784425441288,"score_gpt":0.26556625381962357,"score_spread":0.21473840956521068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1552409431","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88599855,0.0004990682,0.007398291,0.0016231854,0.0075819315,0.0015219371,0.00039836334,0.00073505036,0.0942436],"genre_scores_gemma":[0.93322176,0.014681267,0.0006431924,0.004608745,0.0006504295,0.0001412496,0.000028655602,0.0002047485,0.045819946],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9898844,0.0014774372,0.001189325,0.0031509504,0.0019599698,0.0023379517],"domain_scores_gemma":[0.9934978,0.0031835237,0.0011275107,0.000761378,0.0004908503,0.0009389734],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":["metaepi_narrow","sts"],"category_scores_codex":[0.0012932871,0.0014716681,0.0009426079,0.0009765731,0.005002957,0.0015217708,0.0016954063,0.0007795577,0.00040761346],"category_scores_gemma":[0.0044061444,0.0014762798,0.0006343754,0.0015953603,0.011514182,0.0031210086,0.0004509836,0.0018890684,0.00021122805],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019890431,0.0007977012,0.00246707,0.00030465945,0.000016129077,0.0016721186,0.0009252628,0.0009961573,0.9251505,0.031164994,0.00039290753,0.03591359],"study_design_scores_gemma":[0.0034859884,0.014229713,0.18017764,0.0026493948,0.0010178867,0.028793747,0.0005683757,0.12676652,0.36097914,0.19205971,0.08046516,0.008806732],"about_ca_topic_score_codex":0.00040650956,"about_ca_topic_score_gemma":0.00034149515,"teacher_disagreement_score":0.5641714,"about_ca_system_score_codex":0.00035931868,"about_ca_system_score_gemma":0.0011336284,"threshold_uncertainty_score":0.99980325},"labels":[],"label_agreement":null},{"id":"W1557539572","doi":"10.1023/a:1021902717424","title":"Clustering in Small Networks of Excitatory Neurons with Heterogeneous Coupling Strengths","year":2003,"lang":"en","type":"article","venue":"Journal of Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Pacific Institute for the Mathematical Sciences","keywords":"Excitatory postsynaptic potential; Coupling (piping); Neuroscience; Cluster analysis; Cluster (spacecraft); Stability (learning theory); Computer science; Physics; Biological system; Statistical physics; Biology; Inhibitory postsynaptic potential; Artificial intelligence; Computer network; Materials science; Machine learning","score_opus":0.025589834310315036,"score_gpt":0.25082859534898494,"score_spread":0.2252387610386699,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1557539572","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90938854,0.000021101832,0.0897818,0.00006943319,0.00057853764,0.00008076998,0.0000018378649,0.0000071726136,0.00007079676],"genre_scores_gemma":[0.9981699,0.000026305552,0.0012384668,0.00051630416,0.000026119398,9.534549e-7,1.6211088e-7,0.000012441497,0.0000093245535],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99852955,0.00010524999,0.0004958233,0.00024170021,0.00040770284,0.00021999038],"domain_scores_gemma":[0.99858135,0.00063368946,0.0004833608,0.000092545575,0.00011560063,0.000093465846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031229714,0.00012378016,0.00019724197,0.00023762004,0.000091830145,0.000050521674,0.00025718645,0.000026924536,0.000005009559],"category_scores_gemma":[0.000540777,0.00010291094,0.00006236151,0.0005881395,0.00021375807,0.00023954481,0.00003278456,0.00026913485,3.6333032e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049890154,0.0000798644,0.0013006263,0.000007527592,6.707101e-7,0.00012777628,0.000020965741,0.9540221,0.042921565,0.0011173902,0.0000020389948,0.00034954888],"study_design_scores_gemma":[0.00055636733,0.0005670755,0.011334086,0.000056573146,0.0000049885343,0.0010645613,0.000011091924,0.98104966,0.0041828477,0.0009925629,0.00006116325,0.000119027776],"about_ca_topic_score_codex":0.0000011877947,"about_ca_topic_score_gemma":0.000005181864,"teacher_disagreement_score":0.08878137,"about_ca_system_score_codex":0.000030475318,"about_ca_system_score_gemma":0.00012945884,"threshold_uncertainty_score":0.41965863},"labels":[],"label_agreement":null},{"id":"W1558014800","doi":"10.1002/0470018860.s00310","title":"Split‐Brain Research","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Cognitive Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"National Science Council","keywords":"Consciousness; Perception; Psychology; Cognitive science; Cognition; Cognitive psychology; Human brain; Brain research; Neuroscience","score_opus":0.04545865529615345,"score_gpt":0.3554372944037342,"score_spread":0.3099786391075808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1558014800","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024103061,0.00011757461,0.000080563594,0.00042850038,0.00094045297,0.0006124075,0.00013997732,0.00011221374,0.995158],"genre_scores_gemma":[0.043483343,0.0009104246,0.0001477892,0.00042545926,0.00067872077,0.000036938032,0.000005936419,0.00017387846,0.9541375],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9957758,0.00024570688,0.00029094832,0.0011071675,0.001855595,0.0007247395],"domain_scores_gemma":[0.99741936,0.0014825005,0.00024965106,0.0003940035,0.00025813546,0.00019636042],"candidate_categories":["metaresearch","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014145465,0.00025864947,0.0003023111,0.001278603,0.0002496945,0.00007092808,0.0009511782,0.00016025567,0.0032913475],"category_scores_gemma":[0.0088653695,0.00022895838,0.00008243272,0.0024077247,0.0035258536,0.00024184742,0.00036599298,0.0005929862,0.00081818097],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009236171,0.0005207379,0.00017456194,0.00018133658,0.000011863588,0.00009855267,0.00065259694,0.000002662358,0.09384494,0.042301994,0.5255124,0.33660597],"study_design_scores_gemma":[0.00038205885,0.0002765519,0.00091449363,0.00058515347,0.0000102256845,0.00001576467,0.0001199429,0.00017393967,0.0134023065,0.0016896413,0.9819691,0.0004608241],"about_ca_topic_score_codex":0.000058914353,"about_ca_topic_score_gemma":0.000054332046,"teacher_disagreement_score":0.4564567,"about_ca_system_score_codex":0.00006400128,"about_ca_system_score_gemma":0.00050090364,"threshold_uncertainty_score":0.9999598},"labels":[],"label_agreement":null},{"id":"W1562975277","doi":"10.1523/jneurosci.4527-14.2015","title":"Neuro-Oscillatory Phase Alignment Drives Speeded Multisensory Response Times: An Electro-Corticographic Investigation","year":2015,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":112,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Neuroscience; Phase response curve; Psychology; Phase (matter); Communication; Cognitive psychology; Physics; Circadian rhythm","score_opus":0.0746813044859557,"score_gpt":0.31356903751850784,"score_spread":0.23888773303255215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1562975277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958354,0.000021455668,0.000500484,0.0014251075,0.001887164,0.00020504092,0.000006399163,0.000055314464,0.0000635989],"genre_scores_gemma":[0.99493796,0.000051329906,0.0002136351,0.004437685,0.00015436459,0.0000024512378,4.149884e-7,0.00002572824,0.00017642115],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99620014,0.0009151705,0.00067736907,0.0005393927,0.0012339153,0.000433988],"domain_scores_gemma":[0.99759907,0.0003782456,0.0007427738,0.00036086806,0.00021560541,0.0007034239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012632734,0.00023758809,0.0002772218,0.00053424895,0.00024666576,0.00022105542,0.000589062,0.00006171101,0.000005640947],"category_scores_gemma":[0.0045904317,0.00019847101,0.00013263657,0.0010018654,0.00050456554,0.0014208173,0.00007379843,0.00039867556,0.000010160379],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008651125,0.00023710041,0.0004194149,0.000003074497,0.0000010178495,0.00027199928,0.00022122102,0.00075026415,0.9959811,0.00018166607,0.00045958094,0.0006084459],"study_design_scores_gemma":[0.0042222976,0.011230052,0.019320138,0.00004898319,0.000047706122,0.00283232,0.00018802723,0.07649484,0.8745052,0.0031105415,0.0074308575,0.0005690233],"about_ca_topic_score_codex":0.000003033241,"about_ca_topic_score_gemma":8.1069055e-7,"teacher_disagreement_score":0.1214759,"about_ca_system_score_codex":0.0000995052,"about_ca_system_score_gemma":0.0003332348,"threshold_uncertainty_score":0.8093413},"labels":[],"label_agreement":null},{"id":"W1567165849","doi":"10.5772/48806","title":"Linking Neural Activity to Visual Perception: Separating Sensory and Attentional Contributions","year":2012,"lang":"en","type":"book-chapter","venue":"InTech eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Perception; Sensory system; Neural activity; Psychology; Cognitive psychology; Neuroscience; Cognitive science","score_opus":0.047397518213858396,"score_gpt":0.3110406318249995,"score_spread":0.2636431136111411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1567165849","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73855364,0.000056045683,0.008944475,0.0011164347,0.0028165525,0.0016377876,0.0005927008,0.000581254,0.24570113],"genre_scores_gemma":[0.8610693,0.0000061874057,0.000052038376,0.0008022227,0.00058779423,0.00002038908,0.0000148351055,0.00004002273,0.13740717],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998464,0.000052538344,0.00025862677,0.0005615111,0.00033620573,0.00032710785],"domain_scores_gemma":[0.99915516,0.0002173476,0.00016684832,0.00018342058,0.00010231785,0.00017489176],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016656399,0.00031599824,0.00027303485,0.00017066028,0.00040842078,0.0001268399,0.00011602198,0.00027689704,0.00013575285],"category_scores_gemma":[0.00009904085,0.0003133363,0.00014718526,0.000018906923,0.00016139407,0.00011649482,0.00022136081,0.0007215784,0.00014776146],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039624083,0.000011638586,0.000023656698,0.00001728982,0.000008087693,0.000015117009,0.000052991993,0.0000014839413,0.95042884,0.008670934,0.000032538337,0.04069777],"study_design_scores_gemma":[0.002464671,0.002328115,0.0049544857,0.001851119,0.0005571747,0.0032023927,0.00011034183,0.017410805,0.6488604,0.04118892,0.27137277,0.00569883],"about_ca_topic_score_codex":0.0000069034645,"about_ca_topic_score_gemma":0.0000136477265,"teacher_disagreement_score":0.3015685,"about_ca_system_score_codex":0.00013879844,"about_ca_system_score_gemma":0.000033273063,"threshold_uncertainty_score":0.9999319},"labels":[],"label_agreement":null},{"id":"W1568306508","doi":"10.1016/b978-0-444-53839-0.00009-0","title":"Neuronal plasticity and thalamocortical sleep and waking oscillations","year":2011,"lang":"en","type":"review","venue":"Progress in brain research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Institute of Neurological Disorders and Stroke; Canadian Institutes of Health Research","keywords":"Homeostatic plasticity; Neuroscience; Plasticity; Neuroplasticity; Synaptic plasticity; Psychology; Synaptic scaling; Metaplasticity; Vigilance (psychology); Biology; Physics","score_opus":0.2550892155454774,"score_gpt":0.44470714253567906,"score_spread":0.18961792699020164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1568306508","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009064305,0.98676574,0.000019383324,0.00043644223,0.00025827295,0.0018848543,0.000045541023,0.00007190708,0.0014535465],"genre_scores_gemma":[0.012880203,0.9862953,0.00010283407,0.00004892009,0.00012982143,0.00029369025,0.0000065376935,0.00005573225,0.00018698839],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.996219,0.0011155847,0.00043622692,0.00097571936,0.0005678027,0.0006856606],"domain_scores_gemma":[0.9952814,0.0041369516,0.00010176765,0.00023208682,0.000055269105,0.00019250109],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010351782,0.00028021922,0.0006023242,0.0006010144,0.00034356245,0.000250063,0.00032351003,0.00024201603,0.000041159652],"category_scores_gemma":[0.0026173312,0.00022263353,0.000073553594,0.000809113,0.0010991942,0.00015256098,0.0007403142,0.0014634666,0.000018940224],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000138253445,0.000066430955,0.0007558491,0.0022420988,0.0000046803134,0.00006428408,0.000044756915,1.563194e-7,0.000010873341,0.01675248,0.0000379726,0.9800066],"study_design_scores_gemma":[0.0005383486,0.00052330317,0.007166438,0.0050858753,0.00006204982,0.0004365296,0.000014929244,0.007933543,0.000021991615,0.005452439,0.9719462,0.00081835705],"about_ca_topic_score_codex":0.000007700547,"about_ca_topic_score_gemma":0.000014854069,"teacher_disagreement_score":0.97918826,"about_ca_system_score_codex":0.00006369265,"about_ca_system_score_gemma":0.00010483119,"threshold_uncertainty_score":0.9078732},"labels":[],"label_agreement":null},{"id":"W1570946874","doi":"10.1113/jphysiol.2009.170688","title":"An introduction to the work of David Hubel and Torsten Wiesel","year":2009,"lang":"en","type":"article","venue":"The Journal of Physiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Psychoanalysis; Art history; Watson; Psychology; Cognitive science; Neuroscience; Philosophy; Art; Computer science; Artificial intelligence","score_opus":0.016393049271198817,"score_gpt":0.2577714481512043,"score_spread":0.24137839888000548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1570946874","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9790684,0.00002141904,0.000090987945,0.020315498,0.00041797187,0.000061661565,7.484634e-7,0.0000029354808,0.000020353298],"genre_scores_gemma":[0.99766165,0.000046511428,0.000028110328,0.0014686346,0.0007359501,2.4818334e-7,1.4369918e-7,0.000002716433,0.0000560556],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993777,0.00021394856,0.00015651192,0.000076021024,0.00008966162,0.00008610542],"domain_scores_gemma":[0.9994826,0.00012072359,0.00016450747,0.00016069102,0.00004265988,0.000028867164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031483316,0.00005016025,0.0001073999,0.000035253837,0.00008638802,0.0000075694084,0.00020872396,0.00001933388,0.000009455214],"category_scores_gemma":[0.00013523627,0.000023215458,0.000025556916,0.00015688708,0.0000747108,0.00009689627,0.00002103051,0.00013794411,0.0000017354968],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025317847,0.000028871698,0.000010790267,0.0000010357619,0.0000020372347,2.7247395e-7,0.0002575672,0.0011732308,0.99141073,0.00073098444,0.0011536576,0.0049776235],"study_design_scores_gemma":[0.0010600879,0.011926037,0.4425909,0.000041363044,0.00011888139,0.0006189455,0.00067378004,0.002489282,0.47711813,0.045480557,0.017568275,0.00031374578],"about_ca_topic_score_codex":0.0000024125866,"about_ca_topic_score_gemma":0.0000012604198,"teacher_disagreement_score":0.5142926,"about_ca_system_score_codex":0.000007567216,"about_ca_system_score_gemma":0.000007769073,"threshold_uncertainty_score":0.094669886},"labels":[],"label_agreement":null},{"id":"W1572839663","doi":"10.1111/j.1749-6632.2011.06000.x","title":"Visualizing myeloarchitecture with magnetic resonance imaging in primates","year":2011,"lang":"en","type":"article","venue":"Annals of the New York Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"National Institutes of Health","keywords":"Marmoset; Callithrix; Magnetic resonance imaging; Primate; Neuroscience; Somatosensory system; Visual cortex; Biology; Medicine","score_opus":0.09150316861956563,"score_gpt":0.31451604405065675,"score_spread":0.2230128754310911,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1572839663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98988694,0.0014465131,0.000012875724,0.00594797,0.000063367224,0.0001645163,0.0000029766388,0.000016474316,0.0024583626],"genre_scores_gemma":[0.99736917,0.000100868354,0.0004865721,0.0018338567,0.00001954132,0.0000019489626,2.3847669e-8,0.00000573966,0.00018230687],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99871564,0.00007986907,0.0002345061,0.00030419376,0.0003990907,0.00026668076],"domain_scores_gemma":[0.9995273,0.00013574502,0.00020319707,0.000080627346,0.000011540891,0.00004163179],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041882737,0.000104522755,0.00014130367,0.00012711892,0.00012387693,0.000018014644,0.00076866004,0.00003178993,0.000017468745],"category_scores_gemma":[0.00015851435,0.000059922968,0.000046859514,0.0009411624,0.00089480553,0.00019618766,0.00011356372,0.00016596788,0.0000014309678],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017830425,0.00009395389,0.055769738,0.000048706977,0.0000012220097,0.0000017784564,0.0021609394,0.00035882727,0.81084055,0.021427283,0.0009229741,0.10819571],"study_design_scores_gemma":[0.000162072,0.0001823755,0.15801181,0.00023723191,0.000003500988,0.000015906415,0.0001047581,0.0015591625,0.8154667,0.023222256,0.00090958504,0.00012463299],"about_ca_topic_score_codex":0.00013934578,"about_ca_topic_score_gemma":0.000008349542,"teacher_disagreement_score":0.108071074,"about_ca_system_score_codex":0.000003438166,"about_ca_system_score_gemma":0.00003871574,"threshold_uncertainty_score":0.32969484},"labels":[],"label_agreement":null},{"id":"W1574378856","doi":"10.1109/isbi.2015.7163810","title":"Connectivity-based parcellation of putamen using resting state fMRI data","year":2015,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Voxel; Computer science; Pattern recognition (psychology); Artificial intelligence; Lasso (programming language); Spatial analysis; Regression; Graph; Resting state fMRI; Putamen; Mathematics; Neuroscience; Statistics; Psychology; Theoretical computer science","score_opus":0.24058764891259027,"score_gpt":0.33753257147334964,"score_spread":0.09694492256075937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1574378856","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96723455,0.0000017080758,0.030168472,0.000183174,0.00017870484,0.00011473048,0.000023470371,0.00004957521,0.002045607],"genre_scores_gemma":[0.99783003,5.765266e-7,0.0017983279,0.00020736731,0.000021781994,4.7875267e-7,0.000012037645,0.000008235763,0.000121180674],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914825,0.00010568802,0.00015318481,0.0002693112,0.0002042817,0.00011930836],"domain_scores_gemma":[0.99918836,0.00027082596,0.00011382459,0.0003293053,0.000045376364,0.00005230798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039690232,0.00006165151,0.00008575233,0.00005293862,0.000051267874,0.000030420055,0.0001523848,0.00001825268,0.000010017677],"category_scores_gemma":[0.0008709285,0.00005337972,0.000012100121,0.00019603176,0.000041192976,0.00024662138,0.000106806605,0.00005665542,0.000005121634],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000547352,0.000041167612,0.0033020154,0.0000152652,0.0000012272442,0.0000053984845,0.00003851042,0.038228035,0.95366514,0.0005098631,0.00015383158,0.0039848196],"study_design_scores_gemma":[0.00025946385,0.00005633317,0.00032048734,0.000009053756,0.000003743514,0.0000032034468,0.000014710115,0.87619513,0.12174807,0.0010630368,0.0002623413,0.00006442143],"about_ca_topic_score_codex":0.00019745136,"about_ca_topic_score_gemma":0.00002705105,"teacher_disagreement_score":0.8379671,"about_ca_system_score_codex":0.000026069843,"about_ca_system_score_gemma":0.00006883643,"threshold_uncertainty_score":0.21767619},"labels":[],"label_agreement":null},{"id":"W1576239769","doi":"10.4018/978-1-60960-021-1.ch006","title":"A Primer on Reinforcement Learning in the Brain","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Jargon; Cognitive science; Flourishing; Reinforcement learning; Task (project management); Psychology; Field (mathematics); Reinforcement; Computer science; Artificial intelligence; Engineering; Social psychology; Linguistics","score_opus":0.03874609842017152,"score_gpt":0.25310097851516206,"score_spread":0.21435488009499054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1576239769","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001019587,0.000009036571,0.0000420839,0.00030632847,0.0003749301,0.00046283854,0.0000072861603,0.000067126704,0.99771076],"genre_scores_gemma":[0.68673897,0.000004059479,0.0000043289074,0.008973346,0.00011566517,0.000018754703,0.0000020945208,0.000027417082,0.30411536],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984717,0.00006471052,0.00027223895,0.00047498712,0.0004334405,0.00028293495],"domain_scores_gemma":[0.99925286,0.00013915767,0.00018034609,0.00036228163,0.000016229751,0.00004913481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019339852,0.0002934548,0.00020574569,0.00006677106,0.00012441058,0.00006494191,0.0003718356,0.0001861315,0.00006802397],"category_scores_gemma":[0.000111313035,0.00020771706,0.00013231198,0.000023645012,0.00008230243,0.000029802806,0.00009556313,0.00059738196,0.0003446077],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064068,0.0000075040725,0.0000039055667,0.0000074775407,0.00000388923,0.00007677664,0.000081740574,0.00008603004,0.00067440135,0.9925188,0.0011416089,0.0053338045],"study_design_scores_gemma":[0.0008274381,0.001385989,0.00014612275,0.00034904075,0.000038085076,0.000120215576,0.000015186463,0.0005824047,0.0011795375,0.5417735,0.45269534,0.00088710606],"about_ca_topic_score_codex":0.000061828905,"about_ca_topic_score_gemma":0.00003483804,"teacher_disagreement_score":0.6935954,"about_ca_system_score_codex":0.00012890919,"about_ca_system_score_gemma":0.000054352855,"threshold_uncertainty_score":0.8470456},"labels":[],"label_agreement":null},{"id":"W1576666808","doi":"10.1111/psyp.12299","title":"Modeling nonlinear relationships in <scp>ERP</scp> data using mixed‐effects regression with <scp>R</scp> examples","year":2014,"lang":"en","type":"article","venue":"Psychophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":110,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Psychology; Mixed model; Regression analysis; Nonlinear system; Linearity; Linear regression; Econometrics; Structural equation modeling; Social psychology; Statistics; Mathematics","score_opus":0.0917921303502375,"score_gpt":0.30282968071090044,"score_spread":0.21103755036066293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1576666808","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9812185,0.00004651815,0.016770681,0.00006397796,0.0010138364,0.0003315845,0.000026762009,0.00010671518,0.00042139427],"genre_scores_gemma":[0.993634,0.0000775756,0.005098246,0.000514055,0.00034457011,0.000019351111,0.00012653094,0.000055457775,0.00013020854],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99687374,0.00077595754,0.00037485725,0.0011579859,0.00025706147,0.0005604186],"domain_scores_gemma":[0.99506575,0.00350341,0.00019411628,0.0010701012,0.000044438708,0.00012218462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004513153,0.00030871923,0.0003814601,0.00024560644,0.0003368477,0.00005782178,0.00061662856,0.00021568348,0.0000015287711],"category_scores_gemma":[0.0030833217,0.000238663,0.000048763824,0.0006010545,0.00013505096,0.00042992202,0.00025016893,0.000632592,0.00003748341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000311036,0.00015582563,0.000936386,0.000054506792,0.000006791662,0.0000113283895,0.00016263638,0.053391077,0.9424673,0.000440611,0.0003212005,0.0020212324],"study_design_scores_gemma":[0.00076535874,0.00028157706,0.0014802217,0.00014548705,0.000017016368,0.000030564963,0.00010745009,0.98458,0.00703748,0.004409502,0.001070645,0.00007469115],"about_ca_topic_score_codex":0.000069804104,"about_ca_topic_score_gemma":0.00006305243,"teacher_disagreement_score":0.9354298,"about_ca_system_score_codex":0.000037857375,"about_ca_system_score_gemma":0.00003399195,"threshold_uncertainty_score":0.9732394},"labels":[],"label_agreement":null},{"id":"W1578713037","doi":"10.1023/a:1017542632653","title":"Attractive and In-discrete","year":2001,"lang":"en","type":"article","venue":"Minds and Machines","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada; James S. McDonnell Foundation","keywords":"Connectionism; Philosophy of mind; Cognition; Philosophy of science; Theory of computation; Cognitive science; Representation (politics); Computer science; Function (biology); Philosophy of language; Empirical evidence; Epistemology; Psychology; Philosophy; Algorithm; Metaphysics; Neuroscience; Political science","score_opus":0.01983369199246564,"score_gpt":0.2676252781022824,"score_spread":0.24779158610981677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1578713037","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954591,0.000049575992,0.000030688585,0.0008579087,0.00008127884,0.000051175142,0.0000029250627,0.00000919582,0.0034581674],"genre_scores_gemma":[0.9980837,0.00015220541,0.000020827349,0.00038352492,0.000028241411,0.00000303546,7.131474e-7,0.000003845241,0.0013238861],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99964064,0.000016587268,0.000053675085,0.00016158193,0.00004221679,0.0000852725],"domain_scores_gemma":[0.99985504,0.00005610481,0.000016221466,0.000040557537,0.0000032346727,0.000028830238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000037663205,0.000054916676,0.000058295806,0.000040172854,0.000065236396,0.000028961696,0.00002314471,0.00001934581,0.000015789325],"category_scores_gemma":[0.000043198896,0.000041009724,0.000008482849,0.00007284756,0.000037283648,0.00009267982,0.00002679235,0.000058627244,0.0000020051384],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020306605,0.000065587636,0.12945493,0.00001983339,0.0000026141076,0.00014866005,0.00040624224,0.000018428427,0.6244085,0.003955291,0.00014145285,0.24117541],"study_design_scores_gemma":[0.0011952269,0.00024306755,0.9177716,0.000028453189,0.000010209104,0.00042461618,0.00008020042,0.040337753,0.011022757,0.0102535905,0.018270347,0.0003622287],"about_ca_topic_score_codex":0.00006196079,"about_ca_topic_score_gemma":0.0000874218,"teacher_disagreement_score":0.7883166,"about_ca_system_score_codex":0.0000029945666,"about_ca_system_score_gemma":0.0000023009934,"threshold_uncertainty_score":0.1672328},"labels":[],"label_agreement":null},{"id":"W1580472465","doi":"10.1523/jneurosci.1041-15.2015","title":"Single-Trial Decoding of Visual Attention from Local Field Potentials in the Primate Lateral Prefrontal Cortex Is Frequency-Dependent","year":2015,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Ottawa Hospital; McGill University; University of Ottawa; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research","keywords":"Local field potential; Stimulus (psychology); Neuroscience; Visual cortex; Decoding methods; Prefrontal cortex; Electrophysiology; Computer science; Primate; Premovement neuronal activity; Neural decoding; Cognition; Psychology; Cognitive psychology","score_opus":0.057589129656991124,"score_gpt":0.3089727635036785,"score_spread":0.2513836338466874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1580472465","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99277747,0.000013357885,0.0033523473,0.0006858878,0.0028385252,0.0001914526,0.000010278556,0.0000067711794,0.00012393862],"genre_scores_gemma":[0.998222,0.000016713904,0.000083885054,0.0014826334,0.00015237373,0.0000014896335,3.7323434e-7,0.000007679431,0.000032859116],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99755365,0.0002719273,0.00066446007,0.00028440784,0.0009828536,0.0002427133],"domain_scores_gemma":[0.9988035,0.00023003345,0.0006243611,0.00015857066,0.00008809821,0.00009545355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067999103,0.00012910471,0.00022742804,0.00015049732,0.00008566226,0.0001382789,0.0005668112,0.000058262405,0.000010737695],"category_scores_gemma":[0.0007352069,0.000087763714,0.00012004909,0.0003140035,0.00014589229,0.0006897393,0.000089814435,0.00030861233,0.0000031153763],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009757522,0.00026255878,0.001172905,0.0000033811173,9.2688236e-7,0.00012776592,0.00020039959,0.00008472933,0.9956664,0.00005694206,0.000057704034,0.0013905353],"study_design_scores_gemma":[0.023188472,0.017950516,0.12885496,0.0002752389,0.00009383739,0.001454605,0.00063913467,0.051028103,0.76651335,0.009123655,0.00021521209,0.0006628845],"about_ca_topic_score_codex":0.000076122844,"about_ca_topic_score_gemma":0.000018971845,"teacher_disagreement_score":0.22915302,"about_ca_system_score_codex":0.0000702336,"about_ca_system_score_gemma":0.00009632277,"threshold_uncertainty_score":0.35789004},"labels":[],"label_agreement":null},{"id":"W1580538626","doi":"10.1113/jphysiol.2013.268839","title":"Remodelling at the calyx of Held–MNTB synapse in mice developing with unilateral conductive hearing loss","year":2014,"lang":"en","type":"article","venue":"The Journal of Physiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Canadian Institutes of Health Research; Sickkids Research Institute; Canada Research Chairs","keywords":"Neuroscience; Calyx; Postsynaptic potential; Hearing loss; Sound localization; Synapse; Trapezoid body; Sensory system; Unilateral hearing loss; Auditory system; Audiology; Biology; Anatomy; Brainstem; Medicine","score_opus":0.03631636315588496,"score_gpt":0.2557584728258178,"score_spread":0.21944210966993286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1580538626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975949,0.00001299465,0.0009695662,0.0011301582,0.00016175679,0.00006877968,7.000299e-7,0.000002531015,0.000058644964],"genre_scores_gemma":[0.9991633,0.00004170246,0.000087028144,0.0005750905,0.00005416242,4.9506247e-7,2.1397868e-7,0.000007303867,0.00007067448],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989705,0.00040371358,0.00025178888,0.000100650665,0.000113415175,0.00015989867],"domain_scores_gemma":[0.99888426,0.00059647,0.0003226854,0.000113757276,0.00006340821,0.00001942342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048524013,0.00008224786,0.00019428688,0.000051576677,0.00011060757,0.0000054804655,0.00023261597,0.00003146673,0.0000058283367],"category_scores_gemma":[0.000100895246,0.00003840032,0.000034896675,0.00015629127,0.00021638638,0.000092623406,0.00007403556,0.00027625525,0.0000019422512],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033573247,0.000009981683,0.000109200584,0.000009406548,0.0000061312685,0.0000028730656,0.00036166233,0.031757068,0.966317,0.0009855318,0.0000057229936,0.00009969115],"study_design_scores_gemma":[0.0010244569,0.00083088636,0.015204089,0.00019567476,0.000036211844,0.0008476562,0.00023141147,0.04014715,0.92682576,0.014285935,0.00017794769,0.00019283262],"about_ca_topic_score_codex":0.000059081507,"about_ca_topic_score_gemma":0.000061962484,"teacher_disagreement_score":0.039491247,"about_ca_system_score_codex":0.000050130384,"about_ca_system_score_gemma":0.00003450312,"threshold_uncertainty_score":0.15659197},"labels":[],"label_agreement":null},{"id":"W1583609004","doi":"10.1111/j.1521-0391.2011.00161.x","title":"Methamphetamine, Perceptual Disturbances, and the Peripheral Drift Illusion","year":2011,"lang":"en","type":"letter","venue":"American Journal on Addictions","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Columbia university; History; Psychology; Library science; Media studies; Sociology; Computer science","score_opus":0.019096432087182466,"score_gpt":0.23320173958023552,"score_spread":0.21410530749305307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1583609004","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03904465,0.00023005072,0.0017254183,0.9325014,0.007398198,0.0007407575,0.0003363147,0.00021367686,0.017809542],"genre_scores_gemma":[0.12208723,0.0020713576,0.00018860832,0.8579416,0.0051886807,0.000051490482,0.000036206413,0.0001034575,0.012331357],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99729997,0.0007835801,0.00040228054,0.00052570796,0.00056130596,0.0004271382],"domain_scores_gemma":[0.99815285,0.00070859754,0.000573417,0.0003679793,0.00006381929,0.0001333277],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00024652167,0.00037937818,0.00048277323,0.00019944811,0.0011906093,0.00023861056,0.00040722484,0.00014683696,0.0005559254],"category_scores_gemma":[0.00027901502,0.00022164751,0.00031013976,0.00039272287,0.001984294,0.00017271085,0.00009079275,0.0033374408,0.000053020474],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031905202,0.0000759576,0.00003348502,0.0000069611547,0.00007375517,0.00029683366,0.00090805494,0.000027974822,0.0010173835,0.002011148,0.93195003,0.063279346],"study_design_scores_gemma":[0.0006884911,0.0007849046,0.0008183998,0.00005277316,0.00011005535,0.0018317393,0.00019102822,0.0005418868,0.000019971463,0.000516456,0.9941072,0.00033708496],"about_ca_topic_score_codex":0.000090121284,"about_ca_topic_score_gemma":0.00000995568,"teacher_disagreement_score":0.083042584,"about_ca_system_score_codex":0.00010567482,"about_ca_system_score_gemma":0.00006311715,"threshold_uncertainty_score":0.9989619},"labels":[],"label_agreement":null},{"id":"W1585243015","doi":"","title":"CRIMINATION, CONTEXT, AND SENSORY REPRESENTATIONS","year":2009,"lang":"en","type":"article","venue":"Proceedings of Fechner Day","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Sensory system; Stimulus (psychology); Psychophysics; Perception; Cognitive psychology; Psychology; Communication; Neuroscience","score_opus":0.03129844713179852,"score_gpt":0.27747556299474785,"score_spread":0.24617711586294933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1585243015","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9733694,0.000012527183,0.00006409202,0.0025839477,0.00007559557,0.00015399752,0.0000049153255,0.00007148957,0.023663994],"genre_scores_gemma":[0.9975904,0.00003770058,0.00015791184,0.00080459367,0.000030207942,0.000004366117,7.2948177e-7,0.000005179664,0.0013688807],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99938834,0.0000046438963,0.00014054556,0.00022236568,0.00014256897,0.000101535414],"domain_scores_gemma":[0.9996407,0.00007198397,0.00009288569,0.000045944522,0.00011064718,0.00003785784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011826147,0.00006870622,0.000085580476,0.00009175425,0.00009303924,0.000041459953,0.000077571945,0.000033106327,0.000005482035],"category_scores_gemma":[0.0005660973,0.00006189545,0.000024150673,0.00016678029,0.00006863491,0.0002970231,0.000022055428,0.00007493796,0.000004350255],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000788465,0.000029958572,0.0004933633,0.000010987866,7.6674837e-7,5.348951e-7,0.00023120038,5.3314966e-7,0.90344375,0.07782404,0.0012685398,0.01668846],"study_design_scores_gemma":[0.0003359302,0.00019220056,0.026656354,0.00002626448,0.000016864793,0.00003611578,0.0003458959,0.0016055355,0.9426122,0.025159815,0.0028590711,0.00015377515],"about_ca_topic_score_codex":0.0000035078988,"about_ca_topic_score_gemma":3.6471945e-7,"teacher_disagreement_score":0.052664224,"about_ca_system_score_codex":0.000009438011,"about_ca_system_score_gemma":0.000004671694,"threshold_uncertainty_score":0.2524023},"labels":[],"label_agreement":null},{"id":"W1586132438","doi":"10.1109/icnn.1994.374321","title":"A canonical form of neural dynamics in somatic reference systems","year":2002,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Somatic cell; Computer science; Artificial neural network; Dynamics (music); Artificial intelligence; Theoretical computer science; Biology; Psychology; Genetics","score_opus":0.05642994825696322,"score_gpt":0.25051439851243096,"score_spread":0.19408445025546772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1586132438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97853535,0.00001116002,0.00012382417,0.00025447784,0.00023782533,0.0001739621,0.00000848939,0.00003607077,0.020618837],"genre_scores_gemma":[0.99756926,0.000017103472,0.000022764352,0.00011627704,0.000009798791,0.000009522724,0.0000013191986,0.000007212766,0.0022467668],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999091,0.000049527436,0.0002829467,0.00020265035,0.0001840109,0.00018985904],"domain_scores_gemma":[0.99953276,0.0001568602,0.00007369293,0.00017961756,0.000015399832,0.000041655152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000068560556,0.00008327813,0.00015135747,0.00007970902,0.000028650727,0.000024320845,0.00015442164,0.00004776334,0.000073507756],"category_scores_gemma":[0.00013750164,0.00006502254,0.000029762907,0.0002614286,0.000044510343,0.00013534553,0.000040973846,0.00012266106,0.000024453719],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008226415,0.0009146351,0.025364596,0.0005510811,0.0000074712043,0.00014808658,0.00055418984,0.0023307458,0.2843093,0.66852385,0.00068059214,0.016533189],"study_design_scores_gemma":[0.00020546305,0.000093488954,0.0009990087,0.000019772906,0.0000018693889,0.00003293375,0.000057055524,0.9969932,0.0009001396,0.00057356415,0.00004358467,0.00007995508],"about_ca_topic_score_codex":0.00023994356,"about_ca_topic_score_gemma":0.00061567937,"teacher_disagreement_score":0.9946624,"about_ca_system_score_codex":0.000095123316,"about_ca_system_score_gemma":0.000008310443,"threshold_uncertainty_score":0.2651542},"labels":[],"label_agreement":null},{"id":"W1587200270","doi":"10.1111/j.1469-8986.2010.01139.x","title":"Auditory evoked potentials dissociate rapid perceptual learning from task repetition without learning","year":2010,"lang":"en","type":"article","venue":"Psychophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; Toronto Rehabilitation Institute; University of Toronto","funders":"National Institute on Deafness and Other Communication Disorders; Canadian Institutes of Health Research","keywords":"Psychology; Repetition (rhetorical device); Task (project management); Perception; Tone (literature); Cognitive psychology; Perceptual learning; Audiology; Auditory perception; Speech perception; Neuroscience","score_opus":0.01497991570289841,"score_gpt":0.2544462310023364,"score_spread":0.23946631529943796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1587200270","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910883,0.000007098608,0.00024877544,0.00038075045,0.006019134,0.00015460706,0.0000114223385,0.00024534462,0.0018446188],"genre_scores_gemma":[0.99526584,0.00009861213,0.00008669214,0.0005296761,0.0016208914,0.000025318388,0.00008497081,0.00003900283,0.0022489887],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99786645,0.00050147274,0.0002774055,0.0007569978,0.00021002616,0.00038764896],"domain_scores_gemma":[0.99900424,0.0003227075,0.00026011534,0.0002681057,0.00004690084,0.0000979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001758346,0.00021085958,0.0002789854,0.00008707172,0.00047878842,0.00005417142,0.00022568983,0.000217161,0.0008944601],"category_scores_gemma":[0.0008442938,0.00019547454,0.00013900231,0.00015507614,0.00021251242,0.00018298607,0.000072956995,0.0011274177,0.0005550347],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012909365,0.000055438224,0.0006403874,0.0000034153243,0.00000808197,0.000005091816,0.00018904294,0.0002199631,0.9939858,0.00008937455,0.0003758022,0.004298525],"study_design_scores_gemma":[0.0065854043,0.0034441508,0.51299685,0.00011518052,0.00020095758,0.00008882954,0.0009828254,0.053379558,0.27748477,0.04027906,0.101375386,0.0030670387],"about_ca_topic_score_codex":0.00006175749,"about_ca_topic_score_gemma":0.000013648818,"teacher_disagreement_score":0.716501,"about_ca_system_score_codex":0.000023275325,"about_ca_system_score_gemma":0.000018554603,"threshold_uncertainty_score":0.97937113},"labels":[],"label_agreement":null},{"id":"W1587600749","doi":"10.1111/j.1460-9568.2007.05857.x","title":"Continuous white noise exposure during and after auditory critical period differentially alters bidirectional thalamocortical plasticity in rat auditory cortex <i>in vivo</i>","year":2007,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Auditory cortex; Long-term potentiation; Neuroscience; Synaptic plasticity; Stimulation; Neuroplasticity; Long-term depression; Psychology; Medicine; Internal medicine; NMDA receptor; Receptor","score_opus":0.010547900253832992,"score_gpt":0.2278275008627288,"score_spread":0.2172796006088958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1587600749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930117,0.000014450809,0.0009808724,0.0002604127,0.005229203,0.000110044086,0.0000069748753,0.000021033475,0.0003652848],"genre_scores_gemma":[0.9985234,0.00003703655,0.00005788492,0.00057726837,0.0005996578,0.000001336615,6.828071e-8,0.0000272489,0.00017609789],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9969839,0.00050567836,0.0007612999,0.00054785487,0.00066868385,0.0005326134],"domain_scores_gemma":[0.998884,0.00038105188,0.00022956711,0.00013187008,0.000071380615,0.00030211624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007025206,0.0002306469,0.00028551967,0.00038482843,0.00017239594,0.00016877813,0.00032196095,0.0000377352,0.00003238476],"category_scores_gemma":[0.001641799,0.00020271257,0.00009241305,0.00040587096,0.0006182536,0.0005483979,0.0001525908,0.000693184,0.0000050530007],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004762653,0.0001798778,0.022387378,0.000017723718,5.578146e-7,0.0058036954,0.00013156427,0.00011093396,0.970591,0.000029692741,0.0000394597,0.00023186514],"study_design_scores_gemma":[0.0009196774,0.0005286854,0.9816523,0.00010501451,0.00000781099,0.0015338248,0.000038695864,0.00076794776,0.013919226,0.000014599906,0.00030150806,0.00021070715],"about_ca_topic_score_codex":7.7079767e-7,"about_ca_topic_score_gemma":0.000012809763,"teacher_disagreement_score":0.95926493,"about_ca_system_score_codex":0.00007386301,"about_ca_system_score_gemma":0.00005997355,"threshold_uncertainty_score":0.82663786},"labels":[],"label_agreement":null},{"id":"W1588551014","doi":"","title":"Effects of aging and daytime recovery sleep on N-REM slow oscillations","year":2009,"lang":"en","type":"article","venue":"Open Repository and Bibliography (University of Liège)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Daytime; Sleep (system call); Medicine; Polysomnography; Circadian rhythm; Sleep Stages; Audiology; Psychology; Internal medicine; Electroencephalography; Psychiatry; Physics; Atmospheric sciences; Computer science","score_opus":0.011836287832961865,"score_gpt":0.21101127461687458,"score_spread":0.1991749867839127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1588551014","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991745,0.00007593945,0.00011776988,0.0003227878,0.0001238937,0.00022328684,0.00000673951,0.000016828646,0.007367742],"genre_scores_gemma":[0.9984429,0.00075299916,0.00022340834,0.00012934169,0.000012827779,1.1954137e-7,9.820317e-7,0.0000031578252,0.00043424687],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99929464,0.00009003888,0.0000899336,0.00028400467,0.00013945815,0.000101921636],"domain_scores_gemma":[0.99941033,0.00021468963,0.00013817336,0.0001373717,0.000032419637,0.00006699021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000100602665,0.000088964465,0.00016182216,0.0022811121,0.00034869777,0.000071933275,0.0001752638,0.000050211394,0.000003811069],"category_scores_gemma":[0.0000013726894,0.00009293741,0.00007569107,0.003128725,0.00013143606,0.0005215415,0.00009202199,0.00008082965,5.5890854e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023822812,0.00018783074,0.040431656,0.00007849257,0.000025419857,0.000064187945,0.00015197156,0.00004404493,0.95284885,0.0017837574,0.0012553005,0.0028902674],"study_design_scores_gemma":[0.0010010304,0.0014034661,0.90314025,0.00019176165,0.00008504618,0.000034881647,0.00009807458,0.0008969461,0.0913789,0.0012639854,0.000263057,0.00024258014],"about_ca_topic_score_codex":0.00015826212,"about_ca_topic_score_gemma":0.0000013446053,"teacher_disagreement_score":0.8627086,"about_ca_system_score_codex":0.0000034803409,"about_ca_system_score_gemma":0.000006715512,"threshold_uncertainty_score":0.37898773},"labels":[],"label_agreement":null},{"id":"W158935038","doi":"10.4018/978-1-59140-312-8.ch016","title":"Continuous Attractor Neural Networks","year":2005,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Attractor; Artificial neural network; Context (archaeology); Artificial intelligence; Neural system; Information processing; Neural activity; Nervous system network models; Cognitive science; Neuroscience; Recurrent neural network; Types of artificial neural networks; Biology; Mathematics; Psychology","score_opus":0.024317775138966703,"score_gpt":0.24163522272173957,"score_spread":0.21731744758277285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W158935038","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014251173,0.0001886322,0.00018015949,0.0001393437,0.0023749697,0.0004779005,0.00017482534,0.00032042596,0.9947186],"genre_scores_gemma":[0.7092183,0.000020744139,0.00002841251,0.004391118,0.0015881032,0.000010479048,0.000006587138,0.000082805134,0.28465346],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99769485,0.00003342171,0.00043744035,0.00085239264,0.00044645762,0.00053540827],"domain_scores_gemma":[0.9988017,0.0001079774,0.0003166133,0.0005037701,0.000054166674,0.00021576663],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000066552384,0.00055233005,0.00048796664,0.000053311953,0.00017107508,0.00017875116,0.00043112,0.00050226186,0.0001448844],"category_scores_gemma":[0.000050320934,0.0005170612,0.0003310464,0.000022760858,0.000167495,0.00008097331,0.00016360877,0.0006515073,0.0002594452],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006825524,0.00001301937,0.000006493422,0.000010899297,0.000011824823,0.00033155095,0.0000044939784,0.00020471995,0.0007487818,0.944794,0.0033129111,0.05049308],"study_design_scores_gemma":[0.001961027,0.0010501397,0.00026808452,0.0003208535,0.0003220572,0.0020232578,0.0000040410278,0.07954252,0.00082707684,0.16029617,0.7495715,0.003813285],"about_ca_topic_score_codex":0.000022014914,"about_ca_topic_score_gemma":0.00007120918,"teacher_disagreement_score":0.7844978,"about_ca_system_score_codex":0.00019424871,"about_ca_system_score_gemma":0.00004620872,"threshold_uncertainty_score":0.9997281},"labels":[],"label_agreement":null},{"id":"W1589379916","doi":"10.1113/jphysiol.2004.071381","title":"Neuronal mechanisms mediating the variability of somatosensory evoked potentials during sleep oscillations in cats","year":2004,"lang":"en","type":"article","venue":"The Journal of Physiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Medial lemniscus; Neuroscience; Antidromic; Somatosensory system; Electrophysiology; Stimulation; Orthodromic; Dorsal column nuclei; CATS; Sensory system; Chemistry; Psychology; Medicine; Internal medicine","score_opus":0.01688871917693557,"score_gpt":0.23897916169895236,"score_spread":0.2220904425220168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1589379916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976522,0.0000056396757,0.00047266472,0.001231171,0.0004763126,0.00011454578,0.000004238553,0.000005012225,0.000038243616],"genre_scores_gemma":[0.99960625,0.00002312111,0.00006065445,0.00019774483,0.00009804597,0.0000010610318,2.5069252e-7,0.000006639665,0.0000062244885],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99844915,0.0006551715,0.00042895612,0.00010626634,0.00020135946,0.00015908192],"domain_scores_gemma":[0.99844146,0.00082174275,0.0004797116,0.00017472309,0.000056400597,0.000025985544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075607735,0.0000804369,0.00018673619,0.00006519372,0.00015442692,0.000005991638,0.00028316453,0.00003759128,0.000016444625],"category_scores_gemma":[0.0007068217,0.000043269345,0.00007965184,0.00019297017,0.00014314517,0.00009584191,0.00007350702,0.0002794092,0.000002203549],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006894178,0.000045465276,0.000051483905,0.000007919743,0.00000394486,0.0000018600715,0.00023437905,0.040185075,0.956484,0.0028710396,7.534252e-7,0.00004511638],"study_design_scores_gemma":[0.00068656827,0.0001846464,0.15264715,0.000017328699,0.000023878461,0.00014256885,0.00010736564,0.0041201166,0.6798498,0.16214882,0.0000018520068,0.00006992479],"about_ca_topic_score_codex":0.00002254143,"about_ca_topic_score_gemma":0.00000815214,"teacher_disagreement_score":0.27663425,"about_ca_system_score_codex":0.000037147536,"about_ca_system_score_gemma":0.000046290952,"threshold_uncertainty_score":0.17644727},"labels":[],"label_agreement":null},{"id":"W1594071292","doi":"10.1109/ijcnn.2005.1555936","title":"Simulated control of a tracking mobile robot by four aVLSI integrate-and-fire neurons paired into maps","year":2006,"lang":"en","type":"article","venue":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Mobile robot; Robot; Computer science; Throttle; Artificial neural network; Tracking (education); Robot control; Spiking neural network; Artificial intelligence; Simulation; Control engineering; Engineering; Automotive engineering","score_opus":0.035051539002030584,"score_gpt":0.25381197394910937,"score_spread":0.21876043494707878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1594071292","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9865452,0.000117083044,0.0043649874,0.0038936338,0.001994721,0.001059779,0.00013446872,0.00031522522,0.001574921],"genre_scores_gemma":[0.9967665,0.00024344418,0.000080898404,0.0011930546,0.0004610357,0.000060681985,0.000043481843,0.000060597453,0.0010903246],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99669605,0.000069798836,0.000895197,0.0009522845,0.000698278,0.0006884158],"domain_scores_gemma":[0.99839795,0.00024362789,0.00061745546,0.00016290802,0.00037589547,0.0002021755],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000278556,0.00051442947,0.0005243053,0.00022643489,0.00022505358,0.00036652572,0.00051286,0.00020260263,0.00014010293],"category_scores_gemma":[0.00023433687,0.00045995746,0.00019367038,0.00026602394,0.0002607964,0.00064331194,0.00008185666,0.0006822624,0.000016616179],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00076730497,0.0005696781,0.0014825541,0.00005362313,0.000053307023,0.00004819385,0.0000886686,0.13807991,0.81287074,0.007912354,0.014069527,0.024004119],"study_design_scores_gemma":[0.0013017436,0.0003628014,0.0006883459,0.00014932617,0.000030993957,0.00007268374,0.000041018095,0.9731173,0.02091129,0.0013322337,0.0015450127,0.00044725905],"about_ca_topic_score_codex":0.00015895885,"about_ca_topic_score_gemma":0.000044896555,"teacher_disagreement_score":0.83503735,"about_ca_system_score_codex":0.00013982388,"about_ca_system_score_gemma":0.000040787538,"threshold_uncertainty_score":0.99978524},"labels":[],"label_agreement":null},{"id":"W1594103595","doi":"10.1113/jphysiol.2008.156273","title":"Dynamic contrast change produces rapid gain control in visual cortex","year":2008,"lang":"en","type":"article","venue":"The Journal of Physiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Australian Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Visual cortex; Contrast (vision); Stimulus (psychology); Receptive field; Neuroscience; Visual perception; Visual processing; Computer science; Psychology; Artificial intelligence; Cognitive psychology; Perception","score_opus":0.030051894042714918,"score_gpt":0.2706454936007518,"score_spread":0.24059359955803689,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1594103595","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974069,0.00011955787,0.000065472756,0.0015570698,0.0005830189,0.0002127186,0.00000406847,0.000007663935,0.000043543725],"genre_scores_gemma":[0.9968926,0.0004978464,0.0000039713887,0.002331591,0.00021056976,0.000004219591,5.2282354e-7,0.000009359046,0.000049350932],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987173,0.00047259935,0.00030687175,0.00013080821,0.00014659713,0.0002258292],"domain_scores_gemma":[0.9990637,0.0004183474,0.00032187032,0.00010881343,0.00004806111,0.000039253708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035694652,0.00010561977,0.00026607807,0.00009897973,0.00010732928,0.000004938902,0.00023856755,0.000041399926,0.00003931619],"category_scores_gemma":[0.00019704507,0.00006186472,0.00006696846,0.00016519465,0.00021708115,0.00014530434,0.000024819476,0.0003033092,0.000013614922],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046900113,0.00009933373,0.00009307352,0.0000041354187,0.0000052563573,0.000028318676,0.00021548026,0.00011628385,0.99755096,0.000056634293,0.00008729818,0.0012742168],"study_design_scores_gemma":[0.0077613257,0.005807235,0.74871314,0.00008891938,0.00007368055,0.0036398633,0.00028110278,0.11677032,0.11099066,0.004254916,0.0010781824,0.0005406532],"about_ca_topic_score_codex":0.000013086166,"about_ca_topic_score_gemma":0.000012815741,"teacher_disagreement_score":0.8865603,"about_ca_system_score_codex":0.000031090098,"about_ca_system_score_gemma":0.00003343992,"threshold_uncertainty_score":0.252277},"labels":[],"label_agreement":null},{"id":"W1595266364","doi":"10.1038/npre.2007.1254.1","title":"Beyond Spike Timing Theory – Thermodynamics of Neuronal Computation","year":2007,"lang":"en","type":"preprint","venue":"Nature Precedings","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Transfer entropy; Information transfer; Information theory; Entropy (arrow of time); Computation; Mutual information; Computer science; Statistical physics; Ionic bonding; Information flow; Biological system; Ion; Thermodynamics; Chemistry; Physics; Artificial intelligence; Principle of maximum entropy; Algorithm; Mathematics; Statistics; Biology","score_opus":0.020474692153172432,"score_gpt":0.2893253101139096,"score_spread":0.26885061796073717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1595266364","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9465683,0.0001298034,0.01510937,0.0003542728,0.0052878144,0.00062017026,0.0001143784,0.00018991079,0.031625994],"genre_scores_gemma":[0.9968317,0.00006262379,0.0011219099,0.0012328317,0.00030260565,0.000008719044,0.00007248353,0.0000600197,0.00030707783],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976492,0.00013070476,0.00044327785,0.00081142277,0.00063766516,0.0003277419],"domain_scores_gemma":[0.9981317,0.0007642184,0.0005752107,0.0002887171,0.00015895999,0.00008117163],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0006429567,0.00035246156,0.00035878984,0.00030790048,0.00011225254,0.00008106133,0.0005010182,0.0009448516,0.00003401488],"category_scores_gemma":[0.0007171235,0.0003283414,0.00021256066,0.00028824635,0.00015181936,0.00012889053,0.00059512997,0.0026435184,0.0000062415197],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044509736,0.00017699899,0.00022193286,0.0005026227,0.00003541865,0.00002280985,0.0005803685,0.011424962,0.824961,0.10848844,0.00046428104,0.052676078],"study_design_scores_gemma":[0.0008173455,0.00029881854,0.007514356,0.00047895615,0.00016762265,0.00007338305,0.000054565706,0.2663812,0.21773629,0.50455093,0.0007326452,0.0011938639],"about_ca_topic_score_codex":0.0000056549297,"about_ca_topic_score_gemma":0.0000032139617,"teacher_disagreement_score":0.6072247,"about_ca_system_score_codex":0.00009442951,"about_ca_system_score_gemma":0.000065742075,"threshold_uncertainty_score":0.99991685},"labels":[],"label_agreement":null},{"id":"W1596343979","doi":"10.1016/s0079-6123(06)65030-9","title":"A parallel framework for interactive behavior","year":2007,"lang":"en","type":"review","venue":"Progress in brain research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Action (physics); Perception; Action selection; Context (archaeology); Computer science; Cognition; Sensory system; Cognitive science; Computational model; Neural system; Artificial intelligence; Cognitive psychology; Psychology; Neuroscience","score_opus":0.3667415273573644,"score_gpt":0.5587155304893117,"score_spread":0.19197400313194724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1596343979","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000050592975,0.99023175,0.0007545946,0.0004284675,0.0008051729,0.007072292,0.00010578636,0.000084962856,0.00046636007],"genre_scores_gemma":[0.00008157854,0.985816,0.0036832518,0.00014980331,0.00040908757,0.008464584,0.00004859205,0.00014026546,0.0012068596],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9945702,0.0011084061,0.0007285397,0.0013083682,0.0010005884,0.00128389],"domain_scores_gemma":[0.9842826,0.0144952815,0.00024265994,0.00063611456,0.00016668478,0.0001766213],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0031622096,0.00042404316,0.0010380273,0.0012713989,0.00027684218,0.00029986462,0.0011190079,0.0006520444,0.00006395354],"category_scores_gemma":[0.006155812,0.00034554198,0.000412024,0.001866141,0.0005623205,0.00017356651,0.00048248682,0.0030196845,0.00010906134],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008228696,0.0003221015,0.000022869815,0.0037702143,0.000008011539,0.00017328432,0.00005666116,1.5161423e-7,0.000002321335,0.01804873,0.00046748327,0.9770459],"study_design_scores_gemma":[0.0002452673,0.00033263417,0.000017652808,0.007195836,0.000026135629,0.00005033754,0.000021196745,0.00013827898,0.000016578659,0.006910723,0.98466414,0.00038122808],"about_ca_topic_score_codex":0.000006058277,"about_ca_topic_score_gemma":0.000010947465,"teacher_disagreement_score":0.98419666,"about_ca_system_score_codex":0.0004190619,"about_ca_system_score_gemma":0.00026794974,"threshold_uncertainty_score":0.9998997},"labels":[],"label_agreement":null},{"id":"W1597110692","doi":"10.1016/s1567-424x(09)70021-2","title":"Chapter 17 Intraoperative recording of the very fast oscillatory activities evoked by median nerve stimulation in the human thalamus","year":2006,"lang":"en","type":"article","venue":"Supplements to Clinical neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"National Institute of Neurological Disorders and Stroke","keywords":"Microstimulation; Thalamus; Neuroscience; Neuron; Scalp; Stimulation; Sensory system; Anatomy; Physics; Chemistry; Psychology; Medicine","score_opus":0.038859430982764905,"score_gpt":0.3260347695107467,"score_spread":0.2871753385279818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1597110692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99612576,0.0000012936118,0.000012494414,0.0019283264,0.0009190306,0.00051250577,0.00009781201,0.000013852934,0.0003889067],"genre_scores_gemma":[0.9969399,0.000006542328,0.000011045531,0.0025358836,0.00020768402,0.00002496754,0.000023574545,0.000016157646,0.00023423949],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9974776,0.00087040855,0.0006269748,0.00049291115,0.0002480748,0.00028404957],"domain_scores_gemma":[0.9982893,0.0010788247,0.00020788594,0.00036089553,0.000026086134,0.000037042828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026696414,0.00016963777,0.0002698223,0.00006606658,0.00021099276,0.000026786462,0.00042904008,0.000073218,0.00011861561],"category_scores_gemma":[0.0003110774,0.000103464496,0.00012342533,0.00022242153,0.00029601398,0.00012535982,0.00018661525,0.00036174365,0.000008660887],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009008927,0.00019405603,0.01891443,0.000005121542,0.0000040531936,0.0000069579974,0.000105980915,0.0007395247,0.97556263,0.0017068019,0.0014413173,0.0012290588],"study_design_scores_gemma":[0.0025420347,0.0029881971,0.90155214,0.00004580864,0.00003611126,0.000008408544,0.00023113203,0.004463009,0.069614805,0.008302518,0.009664039,0.00055181683],"about_ca_topic_score_codex":0.00019247088,"about_ca_topic_score_gemma":0.00015514008,"teacher_disagreement_score":0.9059478,"about_ca_system_score_codex":0.000021511123,"about_ca_system_score_gemma":0.000015742498,"threshold_uncertainty_score":0.42191598},"labels":[],"label_agreement":null},{"id":"W1597295622","doi":"","title":"CNS: a GPU-based framework for simulating cortically-organized networks","year":2010,"lang":"en","type":"article","venue":"DSpace@MIT (Massachusetts Institute of Technology)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology; Defense Advanced Research Projects Agency; McGovern Institute for Brain Research, Massachusetts Institute of Technology; Honda Research Institute, USA; National Science Foundation","keywords":"Computer science; Focus (optics); Code (set theory); Deep learning; CUDA; Massively parallel; Parallel computing; Distributed computing; License; Artificial intelligence; Programming language; Operating system","score_opus":0.019099893220127263,"score_gpt":0.2705000253547091,"score_spread":0.2514001321345818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1597295622","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7115122,0.000030230553,0.2731958,0.009518308,0.003211324,0.0011294497,0.000071348775,0.00096959877,0.00036173605],"genre_scores_gemma":[0.9288621,0.000010069265,0.069681555,0.0010137222,0.00016080198,0.000089369896,0.000012814309,0.00006295581,0.000106641884],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99756396,0.000029283125,0.00057581667,0.00081040896,0.00033354273,0.00068698527],"domain_scores_gemma":[0.9977719,0.00054201717,0.00042834258,0.00094512344,0.00018269513,0.000129882],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00024135497,0.00037007537,0.00051363104,0.00046398275,0.00039313748,0.000070037844,0.0007762947,0.0009073189,0.000051084815],"category_scores_gemma":[0.007553517,0.00034553412,0.00020772344,0.0013230324,0.0008331034,0.00025809417,0.00018583363,0.0012198669,0.00001492268],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001897553,0.00028817946,0.0031936679,0.00007368079,0.00003452109,0.000033441644,0.00002295214,0.005812603,0.74934024,0.22174233,0.000348451,0.01892016],"study_design_scores_gemma":[0.0036950717,0.0008770962,0.0007798155,0.0002740697,0.0001650988,0.00004679912,0.000034097604,0.5019874,0.35144076,0.055289775,0.084195815,0.0012141945],"about_ca_topic_score_codex":0.0000064165256,"about_ca_topic_score_gemma":0.000044624056,"teacher_disagreement_score":0.4961748,"about_ca_system_score_codex":0.00004931152,"about_ca_system_score_gemma":0.000118044016,"threshold_uncertainty_score":0.9998997},"labels":[],"label_agreement":null},{"id":"W1597362548","doi":"10.1007/978-3-642-02498-6_7","title":"Discovering Sparse Functional Brain Networks Using Group Replicator Dynamics (GRD)","year":2009,"lang":"en","type":"article","venue":"Lecture notes in computer science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Replicator equation; Dynamics (music); Group (periodic table); Theoretical computer science; Artificial intelligence; Psychology","score_opus":0.02399443027616046,"score_gpt":0.25371331129001856,"score_spread":0.2297188810138581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1597362548","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3892174,0.000009354237,0.6086067,0.0009823347,0.0009917306,0.000117336946,0.0000016768015,0.000059647395,0.000013820605],"genre_scores_gemma":[0.9796522,0.000003544338,0.013487693,0.0064605055,0.00037667426,0.0000024532055,0.0000032460348,0.000011496889,0.0000021441274],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976496,0.000064227,0.00026848013,0.0009914789,0.0004733102,0.00055290334],"domain_scores_gemma":[0.99890935,0.00038570623,0.00008308842,0.0004755435,0.000032434724,0.000113875576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004432603,0.00021168041,0.00017605133,0.00023391627,0.00039483063,0.0003222465,0.0005269868,0.00007982689,0.000007198013],"category_scores_gemma":[0.0003416964,0.00018781566,0.00006504692,0.0017437541,0.00028933128,0.00060383324,0.00020064923,0.00036846244,0.00000375697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021160551,0.000052863998,0.00089377625,0.0000027100987,5.3672943e-7,0.000021530874,0.00003541944,0.7407791,0.14550407,0.0018342091,0.000005721501,0.1108489],"study_design_scores_gemma":[0.00018133734,0.0001243786,0.0072913202,0.00003011063,0.0000019177673,0.00010347271,3.1147522e-7,0.9792338,0.0071966606,0.0055929534,0.000020054902,0.00022370766],"about_ca_topic_score_codex":0.000018507506,"about_ca_topic_score_gemma":0.000049994665,"teacher_disagreement_score":0.595119,"about_ca_system_score_codex":0.0002827509,"about_ca_system_score_gemma":0.00006568233,"threshold_uncertainty_score":0.76589},"labels":[],"label_agreement":null},{"id":"W1597472060","doi":"10.5772/14296","title":"The Impact of Stochastic and Deterministic Sounds on Visual, Tactile and Proprioceptive Modalities","year":2011,"lang":"en","type":"book-chapter","venue":"InTech eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Proprioception; Modalities; Computer science; Psychology; Neuroscience; Sociology","score_opus":0.04219965591339123,"score_gpt":0.28643118124380434,"score_spread":0.24423152533041312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1597472060","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32823873,0.00011544369,0.0013225954,0.000040625873,0.0007156214,0.0018237865,0.0002974568,0.00015307793,0.66729265],"genre_scores_gemma":[0.8858502,0.000019921701,0.000002118819,0.00003724936,0.000038787057,0.000016398331,9.26787e-7,0.00003610639,0.11399832],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990169,0.000024337513,0.00023028217,0.0003636478,0.00018452518,0.00018034264],"domain_scores_gemma":[0.9989132,0.0005110472,0.00024345775,0.00021492167,0.000054040265,0.00006330641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000081272956,0.0002820919,0.00025919202,0.00010675686,0.00019088275,0.000079525635,0.00013167475,0.00014900067,0.000020643318],"category_scores_gemma":[0.00015400206,0.00017368131,0.00009693506,0.000007913474,0.0007501344,0.00003120066,0.0001187565,0.00034577603,0.0000068697955],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002006449,0.00009485066,0.000010605482,0.00024580173,0.0002112351,0.000094794865,0.0025405516,0.000005312238,0.51678586,0.3159771,0.00013985486,0.16188759],"study_design_scores_gemma":[0.0008287394,0.012307201,0.00019402326,0.0010891126,0.00019088587,0.00045085698,0.00013658375,0.00284499,0.09133778,0.8876899,0.0016231374,0.0013067957],"about_ca_topic_score_codex":0.000044865646,"about_ca_topic_score_gemma":0.0000109606835,"teacher_disagreement_score":0.5717128,"about_ca_system_score_codex":0.00004692594,"about_ca_system_score_gemma":0.00006176338,"threshold_uncertainty_score":0.70825183},"labels":[],"label_agreement":null},{"id":"W159911242","doi":"10.1007/3-540-44832-2_16","title":"Correlations and Memory in Neurodynamical Systems","year":2003,"lang":"en","type":"book-chapter","venue":"Lecture notes in physics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Multistability; Noise (video); Neuroscience; Variety (cybernetics); Computer science; Memory formation; Working memory; Psychology; Physics; Cognition; Artificial intelligence; Nonlinear system","score_opus":0.02017324007330637,"score_gpt":0.2275066538436166,"score_spread":0.20733341377031023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W159911242","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06286851,0.0021059555,0.08730088,0.0032387918,0.018114436,0.0060579814,0.0005092509,0.00054106093,0.8192631],"genre_scores_gemma":[0.9861256,0.0002277642,0.00007995277,0.0019725382,0.00041832807,0.00002101133,0.00003963751,0.00011717996,0.010998018],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99870276,0.00006123194,0.00026855865,0.0005486811,0.00020806423,0.00021072697],"domain_scores_gemma":[0.99896103,0.00059783866,0.00012269762,0.00025726386,0.000017107548,0.00004407102],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000058652793,0.00028314508,0.0003169907,0.00011907337,0.00005652296,0.00005377824,0.000109748595,0.00028157607,0.000009500454],"category_scores_gemma":[0.00020513272,0.00027146543,0.000058515623,0.00011686888,0.0001112387,0.000077428755,0.000050018727,0.00090671255,0.000015105346],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000073859184,0.00015743038,0.0005128568,0.00031699237,0.000013812481,0.000359711,0.00029894678,0.14884955,0.024471443,0.78277713,0.00017606419,0.041992206],"study_design_scores_gemma":[0.0011582462,0.0002365581,0.0004648645,0.00058412267,0.000060539118,0.00017307006,0.0000026878479,0.3213193,0.0009807493,0.6642286,0.009323643,0.0014675786],"about_ca_topic_score_codex":0.000016554068,"about_ca_topic_score_gemma":0.00005501101,"teacher_disagreement_score":0.92325705,"about_ca_system_score_codex":0.000082415456,"about_ca_system_score_gemma":0.000025810737,"threshold_uncertainty_score":0.9999738},"labels":[],"label_agreement":null},{"id":"W1601612549","doi":"10.5555/1239208.1239212","title":"Applying brain emotional learning algorithm for multivariable control of HVAC systems","year":2006,"lang":"en","type":"article","venue":"Journal of Intelligent & Fuzzy Systems","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Multivariable calculus; Computer science; HVAC; Control (management); Task (project management); Nonlinear system; Satisficing; Control theory (sociology); Controller (irrigation); Artificial intelligence; Control engineering; Algorithm; Air conditioning; Engineering","score_opus":0.022748046343824803,"score_gpt":0.2567668002097929,"score_spread":0.23401875386596813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1601612549","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041073587,0.00094673847,0.94796836,0.00020244898,0.006602623,0.0018685358,0.00010398837,0.000043558834,0.001190165],"genre_scores_gemma":[0.9955432,0.000025822766,0.00044355643,0.000060823037,0.0012097291,0.000063640815,0.0000062042086,0.00003396711,0.0026130993],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970716,0.00032703084,0.001355242,0.00025468538,0.0006646812,0.00032671212],"domain_scores_gemma":[0.9963481,0.0013878219,0.001523487,0.00013621901,0.0005071205,0.0000972459],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001443008,0.00020425719,0.00056330825,0.0002860953,0.00018601299,0.00014711499,0.00027334172,0.00011133779,0.00000786312],"category_scores_gemma":[0.00061549735,0.00016399838,0.00029306204,0.00025000836,0.000050960218,0.00025032015,0.00002425401,0.00032093824,0.000008162911],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025609633,0.00039242438,0.0014399206,0.0005112538,0.0001034384,0.000044859706,0.000083509425,0.3387004,0.622368,0.021854011,0.0037842353,0.010461845],"study_design_scores_gemma":[0.0016166344,0.00091230066,0.00013184975,0.00070878206,0.00005831113,0.0006937784,0.0004998388,0.9342841,0.020149793,0.0006348498,0.0400198,0.00028994546],"about_ca_topic_score_codex":0.00019130668,"about_ca_topic_score_gemma":0.0000012331242,"teacher_disagreement_score":0.95446956,"about_ca_system_score_codex":0.00015519757,"about_ca_system_score_gemma":0.00008018137,"threshold_uncertainty_score":0.668766},"labels":[],"label_agreement":null},{"id":"W1603237723","doi":"10.1016/b978-0-444-53752-2.00009-6","title":"Lifelong plasticity in the rat auditory cortex","year":2011,"lang":"en","type":"review","venue":"Progress in brain research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":112,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute of Mental Health; National Institutes of Health; Canadian Institutes of Health Research; Health Canada; Systematics Association","keywords":"Auditory cortex; Psychology; Neuroscience; Neuroplasticity; Cognitive neuroscience of music; Sensory system; Cognition; Developmental plasticity; Cognitive psychology; Plasticity","score_opus":0.2622262890590018,"score_gpt":0.45323314110831037,"score_spread":0.19100685204930856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1603237723","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007227581,0.9915111,0.0000035250807,0.0005618837,0.0013673264,0.0032494725,0.000028026176,0.000056645586,0.0024992684],"genre_scores_gemma":[0.0020874187,0.9949845,0.000016131553,0.00019582445,0.0005612474,0.0013119463,0.000013619454,0.00006658973,0.00076268933],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9913791,0.004571149,0.00069429405,0.0010763032,0.0012053157,0.0010738852],"domain_scores_gemma":[0.99106884,0.007925644,0.00019426178,0.00063026143,0.00007280222,0.000108169275],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0038852422,0.0003804807,0.0008321626,0.000955036,0.0002737156,0.00025635448,0.0019354502,0.0003785929,0.00008418596],"category_scores_gemma":[0.004147337,0.00024187421,0.0001985108,0.0023951163,0.00091889367,0.00016617103,0.00055199896,0.0033561557,0.00024269917],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031832744,0.00029334755,0.00013222982,0.0036939704,0.000004476486,0.0004929518,0.00019397902,3.3086147e-7,0.000010563427,0.0038360169,0.0048796507,0.98643064],"study_design_scores_gemma":[0.00020050995,0.00016430655,0.00044362753,0.0036029022,0.0000096589465,0.000062747546,0.000023741824,0.00020702662,0.0000066350012,0.00070993695,0.994276,0.0002929122],"about_ca_topic_score_codex":0.00003061691,"about_ca_topic_score_gemma":0.00011303262,"teacher_disagreement_score":0.98939633,"about_ca_system_score_codex":0.0002472895,"about_ca_system_score_gemma":0.00040088248,"threshold_uncertainty_score":0.99894315},"labels":[],"label_agreement":null},{"id":"W1603769967","doi":"10.1002/9780470479216.corpsy0125","title":"Beta and Gamma Rhythms","year":2010,"lang":"en","type":"other","venue":"The Corsini Encyclopedia of Psychology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Beta Rhythm; Electroencephalography; Rhythm; Stimulus (psychology); Physics; BETA (programming language); Neuroscience; Electrophysiology; Magnetoencephalography; Stimulation; Alpha rhythm; Scalp; Nuclear magnetic resonance; Communication; Psychology; Biology; Anatomy; Computer science; Acoustics","score_opus":0.021059157882597438,"score_gpt":0.28914457403632066,"score_spread":0.2680854161537232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1603769967","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0076131783,0.00026427268,0.00006029799,0.0022222742,0.0048556942,0.00034460408,0.00006036056,0.00009142169,0.9844879],"genre_scores_gemma":[0.014600531,0.012779642,0.0002600992,0.0036944926,0.0015297065,0.00003410252,0.000014909002,0.00044126596,0.96664524],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987599,0.00013295672,0.00022664451,0.0004851657,0.00015171745,0.00024358967],"domain_scores_gemma":[0.99880356,0.00021719327,0.00028746776,0.0006188288,0.000012206473,0.000060761507],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00013455815,0.00022212094,0.0003073059,0.0001490391,0.000056471366,0.000009740064,0.00035330694,0.00030017796,0.0011667403],"category_scores_gemma":[0.00010563565,0.00015119588,0.00006325748,0.00015565757,0.0005827065,0.000021966647,0.00009200564,0.0005164235,0.0001064877],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000098893746,0.00013523658,0.00022921531,0.00007286836,0.000019941692,0.00004783355,0.00011664474,2.6774126e-7,0.034978375,0.011910967,0.87516093,0.07722883],"study_design_scores_gemma":[0.00028575593,0.0001459329,0.001080735,0.000024637542,0.000025862573,0.00018012541,0.0000032976454,0.000011415708,0.00017122357,0.0019722905,0.9959313,0.0001674128],"about_ca_topic_score_codex":0.00003916214,"about_ca_topic_score_gemma":0.00009728409,"teacher_disagreement_score":0.12077038,"about_ca_system_score_codex":0.0000034514674,"about_ca_system_score_gemma":0.000019041558,"threshold_uncertainty_score":0.9997463},"labels":[],"label_agreement":null},{"id":"W1604662333","doi":"10.1016/s0079-6123(01)34029-3","title":"Chapter 28 When the auditory cortex turns visual","year":2001,"lang":"en","type":"review","venue":"Progress in brain research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"National Eye Institute; National Institute of Mental Health","keywords":"Neuroscience; Visual cortex; Lateral geniculate nucleus; Visual system; Thalamus; Auditory cortex; Orientation column; Retina; Psychology; Biology; Striate cortex","score_opus":0.20821961102723893,"score_gpt":0.4678369784296918,"score_spread":0.2596173674024529,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1604662333","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00010918642,0.9892105,0.0000039328697,0.0023639381,0.0013112328,0.0024977191,0.000027649701,0.00008778367,0.0043880544],"genre_scores_gemma":[0.0006255815,0.9889636,0.000012554954,0.00026500726,0.0011044999,0.00084998447,0.000020024298,0.00010873195,0.008049996],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99320674,0.0021029434,0.0006693068,0.0012060534,0.0016442797,0.0011706938],"domain_scores_gemma":[0.9947382,0.00393246,0.00023004148,0.0008135392,0.00011906563,0.00016669693],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0032237147,0.00044896198,0.00083685317,0.00072552613,0.0004036141,0.00040789042,0.0016188779,0.00037444438,0.0003780831],"category_scores_gemma":[0.001543061,0.00027815605,0.00031698443,0.0013604689,0.0012025343,0.00017085328,0.0008508953,0.0029187396,0.0004990916],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017610388,0.00012230611,0.00002019027,0.0018072041,0.000009948528,0.0002752444,0.00008295184,1.4935986e-7,0.0000104586115,0.002775524,0.0037764837,0.9911019],"study_design_scores_gemma":[0.00015155633,0.0001688351,0.00005892198,0.0020387846,0.000014271446,0.000106846404,0.000015708201,0.00037148182,0.0000029826676,0.0012563982,0.9955162,0.0002980314],"about_ca_topic_score_codex":0.00001537745,"about_ca_topic_score_gemma":0.000029455208,"teacher_disagreement_score":0.9917397,"about_ca_system_score_codex":0.00022813605,"about_ca_system_score_gemma":0.00027095625,"threshold_uncertainty_score":0.99996704},"labels":[],"label_agreement":null},{"id":"W1608620766","doi":"10.5772/46011","title":"Adaptation and Neuronal Network in Visual Cortex","year":2012,"lang":"en","type":"book-chapter","venue":"InTech eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Adaptation (eye); Neuroscience; Visual cortex; Cortex (anatomy); Cognitive science; Psychology; Biology; Communication; Computer science","score_opus":0.041905250021262774,"score_gpt":0.25489198176290356,"score_spread":0.2129867317416408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1608620766","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053013556,0.00032589867,0.0017739368,0.00017187092,0.0033270328,0.0012093275,0.00004448765,0.00028808456,0.9398458],"genre_scores_gemma":[0.8365052,0.00007546802,0.000034877667,0.0008719758,0.00039098348,0.000013389426,0.000008551103,0.000056561792,0.16204302],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988308,0.000028020628,0.00026089084,0.00040691704,0.00021695642,0.00025641333],"domain_scores_gemma":[0.9994643,0.00016286102,0.00014639924,0.00013329214,0.000020494772,0.00007270214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000107682965,0.00023408637,0.00020732774,0.00012451921,0.000066959234,0.000045060875,0.00010328062,0.00020889472,0.000071204544],"category_scores_gemma":[0.000038915496,0.00022812377,0.00005517396,0.000016065109,0.00012494285,0.000060199473,0.00010641354,0.0005150219,0.000052814015],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022038587,0.000032460845,0.000063570966,0.000058438938,0.000011446919,0.00012397995,0.00017114102,0.000017897006,0.36409354,0.19022016,0.00024900562,0.44473797],"study_design_scores_gemma":[0.0017253296,0.0015994135,0.002902282,0.0010553891,0.00013012541,0.00051035965,0.00002642895,0.016788356,0.036685765,0.2763741,0.6595577,0.0026447868],"about_ca_topic_score_codex":0.000010934455,"about_ca_topic_score_gemma":0.0000649769,"teacher_disagreement_score":0.7834916,"about_ca_system_score_codex":0.000041998905,"about_ca_system_score_gemma":0.000028350803,"threshold_uncertainty_score":0.93026173},"labels":[],"label_agreement":null},{"id":"W1619896805","doi":"10.1016/j.neuroimage.2015.09.007","title":"Frequency-dependent spatiotemporal profiles of visual responses recorded with subdural ECoG electrodes in awake monkeys: Differences between high- and low-frequency activity","year":2015,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Japan Science and Technology Agency; Ministry of Education, Culture, Sports, Science and Technology; Japan Society for the Promotion of Science; Precursory Research for Embryonic Science and Technology; Australian Research Council; McGill University","keywords":"Electrocorticography; Local field potential; Spatial frequency; Receptive field; Visual cortex; Population; Frequency band; Electroencephalography; Audiology; Psychology; Neuroscience; Physics; Optics; Computer science; Medicine; Telecommunications","score_opus":0.043328248628242465,"score_gpt":0.27596694783136116,"score_spread":0.2326386992031187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1619896805","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984645,0.000012364086,0.000074396085,0.00048115983,0.000158114,0.00044350445,0.00007955416,0.00007399544,0.0002123709],"genre_scores_gemma":[0.9994377,0.000030696847,0.0002040346,0.000070625145,0.00006207962,0.000025520318,0.000007268091,0.000030082829,0.00013201877],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9974968,0.0005231911,0.00034058932,0.00068313733,0.00057453726,0.0003817765],"domain_scores_gemma":[0.9988192,0.00041476358,0.000262726,0.00026647895,0.00009909513,0.00013775901],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027802677,0.00027402944,0.0003933392,0.00023508769,0.000087076325,0.00008729862,0.00022872977,0.0000862069,0.000010977844],"category_scores_gemma":[0.00081390684,0.0002167623,0.0000369519,0.00037918147,0.00025626674,0.00058498216,0.00008299841,0.00035321515,0.0000043347322],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021154656,0.00011513768,0.387334,0.000030222851,0.0000029070238,0.00006586301,0.000060506503,0.0000021969954,0.61062634,0.00015809305,0.000009021973,0.0013841653],"study_design_scores_gemma":[0.0007976679,0.0011748867,0.62996787,0.000034192082,0.000011515598,0.00001983837,0.00002194291,0.0004757451,0.36528412,0.0019918738,0.0000014981993,0.0002188554],"about_ca_topic_score_codex":0.0013558788,"about_ca_topic_score_gemma":0.00061531167,"teacher_disagreement_score":0.24534222,"about_ca_system_score_codex":0.0000716761,"about_ca_system_score_gemma":0.0001886945,"threshold_uncertainty_score":0.88393104},"labels":[],"label_agreement":null},{"id":"W1628460382","doi":"10.1038/35091066","title":"Dynamics of travelling waves in visual perception","year":2001,"lang":"en","type":"article","venue":"Nature","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":294,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Visual cortex; Binocular rivalry; Physics; Wave propagation; Optics; Perception; Neuroscience; Visual perception; Psychology","score_opus":0.013204002273384259,"score_gpt":0.2777983850128477,"score_spread":0.26459438273946345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1628460382","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972588,0.000012586288,0.00030183155,0.0006426458,0.00025552453,0.00006950236,0.000004740765,0.000017899376,0.0014364924],"genre_scores_gemma":[0.99895006,0.000089194764,0.00006219477,0.00044169565,0.000044478187,0.0000010646196,0.0000071531986,0.0000070648134,0.0003970893],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994346,0.000029750496,0.0001105018,0.00016861265,0.000145785,0.0001107873],"domain_scores_gemma":[0.9998094,0.00005189702,0.000039064093,0.00006575006,0.000015548614,0.000018327162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006868105,0.00006064081,0.00007603364,0.000090016154,0.000027883996,0.000010743144,0.00007322169,0.0003237125,0.00003976592],"category_scores_gemma":[0.00009061412,0.000053270727,0.000032515538,0.00028914743,0.000025393874,0.00008944772,0.00001296565,0.00070966023,0.0000055632518],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006791715,0.00009673548,0.0049261693,0.000015943007,7.5216354e-7,0.000022185788,0.00014168395,0.00043884086,0.9638624,0.006234314,0.000026184067,0.02416686],"study_design_scores_gemma":[0.0006675,0.0002308063,0.16356273,0.00006254109,0.0000068274194,0.000073681884,0.00023421015,0.7946758,0.032859508,0.0067146006,0.00063989364,0.0002718723],"about_ca_topic_score_codex":0.000011125312,"about_ca_topic_score_gemma":0.000079963014,"teacher_disagreement_score":0.9310029,"about_ca_system_score_codex":0.000040573173,"about_ca_system_score_gemma":0.0000075142507,"threshold_uncertainty_score":0.30831602},"labels":[],"label_agreement":null},{"id":"W1629835762","doi":"10.1167/15.12.22","title":"Responses of macaque V1 neurons to color images of natural scenes","year":2015,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer vision; Eye movement; Artificial intelligence; Macaque; Computer science; Fixation (population genetics); Achromatic lens; Neuroscience; Psychology; Physics; Biology; Optics","score_opus":0.03680177205285493,"score_gpt":0.3279861453162699,"score_spread":0.29118437326341495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1629835762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99648386,0.00004704266,0.000077124256,0.0022975178,0.0008935729,0.00007254631,0.0000103296015,0.000004578796,0.00011343115],"genre_scores_gemma":[0.9986881,0.00004337363,0.00048757598,0.0003075674,0.00006641743,2.7004674e-7,1.664606e-7,0.000007587106,0.0003989387],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988739,0.00015178426,0.0003669472,0.00010270666,0.00040371585,0.00010094152],"domain_scores_gemma":[0.99885553,0.0003003054,0.00037741443,0.000108489185,0.00025710984,0.00010115605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030148856,0.00007227487,0.00019139325,0.00021345206,0.000029964556,0.000018237939,0.00018952011,0.000029265593,0.000007152823],"category_scores_gemma":[0.0017688997,0.00005060042,0.000085054424,0.00024596858,0.000056146433,0.00021914481,0.00006636563,0.000142785,0.0000040378773],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011195474,0.000073413794,0.00034330087,0.000010241486,0.0000017331854,0.00002919113,0.000057494388,0.00028060708,0.9921322,0.00008632626,0.0032385155,0.0026274475],"study_design_scores_gemma":[0.0006504609,0.0031071913,0.03795188,0.00012478992,0.000014369043,0.00022336053,0.00006114269,0.0015220874,0.9533665,0.00039439654,0.002500453,0.000083358325],"about_ca_topic_score_codex":0.0000071729637,"about_ca_topic_score_gemma":0.000001961158,"teacher_disagreement_score":0.038765673,"about_ca_system_score_codex":0.000023633507,"about_ca_system_score_gemma":0.00006998837,"threshold_uncertainty_score":0.2117666},"labels":[],"label_agreement":null},{"id":"W1641139364","doi":"10.1063/1.2036823","title":"Fluctuations in Neuronal Activity: Clues to Brain Function","year":2005,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Muscular Dystrophy Canada; Hospital for Sick Children","funders":"","keywords":"Neuroscience; Brain activity and meditation; Premovement neuronal activity; Electroencephalography; Noise (video); Magnetoencephalography; Neurophysiology; Brain function; Synchronization (alternating current); Electrophysiology; Computer science; Phase synchronization; Psychology; Phase (matter); Physics; Artificial intelligence","score_opus":0.03650275812903964,"score_gpt":0.27241872344682544,"score_spread":0.2359159653177858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1641139364","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9668551,0.0000014321581,0.0066057313,0.020953087,0.00020935315,0.00030533114,0.0000050217386,0.0001274556,0.0049374937],"genre_scores_gemma":[0.9915619,0.000006809561,0.00016381043,0.006611941,0.00015675806,0.000062533756,0.0000015553326,0.000016261534,0.0014184287],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998687,0.000017375613,0.00018219459,0.00051806954,0.0002782934,0.00031702936],"domain_scores_gemma":[0.99953973,0.00010747637,0.000067081026,0.00008478285,0.00009038091,0.00011057173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015902788,0.00015754475,0.00013453841,0.00023472594,0.00016253525,0.00017891232,0.0001890357,0.000063212494,0.00012962554],"category_scores_gemma":[0.0006701708,0.00015615016,0.000036704656,0.00056783395,0.000045578443,0.0007836681,0.000084512125,0.00024284229,0.00020165261],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000070248105,0.000070304326,0.0014580524,0.0000071207605,9.383977e-7,7.57425e-7,0.0003943102,0.00003758853,0.9373389,0.014505724,0.0010685079,0.04504755],"study_design_scores_gemma":[0.0015707228,0.0015091678,0.330594,0.00013103585,0.000026036147,0.000049648414,0.00045948464,0.4087135,0.15770715,0.017655864,0.080347404,0.0012359768],"about_ca_topic_score_codex":0.000025436757,"about_ca_topic_score_gemma":0.000092525435,"teacher_disagreement_score":0.77963173,"about_ca_system_score_codex":0.00008055185,"about_ca_system_score_gemma":0.00005129508,"threshold_uncertainty_score":0.63676184},"labels":[],"label_agreement":null},{"id":"W1645820602","doi":"10.1109/ijcnn.2015.7280825","title":"Saliency model of auditory attention based on frequency, amplitude and spatial location","year":2015,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Perception; Amplitude; Process (computing); Auditory scene analysis; Speech recognition; Artificial intelligence; Computer vision; Psychology; Physics; Neuroscience","score_opus":0.04879834949167017,"score_gpt":0.2584638317641987,"score_spread":0.20966548227252851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1645820602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7465142,0.0000021058872,0.24629442,0.0003104206,0.00048154604,0.0001543785,0.000007292679,0.00004722918,0.006188382],"genre_scores_gemma":[0.99885947,0.0000018897927,0.0004107153,0.00040692821,0.0000482496,0.0000057702105,0.0000045032107,0.0000062656613,0.00025623495],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992922,0.00004089958,0.00013116607,0.00021527206,0.00023438806,0.00008605978],"domain_scores_gemma":[0.9996316,0.000047060745,0.00006759379,0.00013441432,0.00006376065,0.000055581513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012282377,0.000067224275,0.00006781983,0.00006358602,0.000037597096,0.000016128397,0.0000571228,0.000035822613,0.000008194773],"category_scores_gemma":[0.00018094051,0.00005624487,0.00001832421,0.00009657015,0.000052515952,0.000111781555,0.000015149382,0.000049835136,0.00000979266],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005503605,0.00013637495,0.001538851,0.000022171153,7.4297014e-7,7.7408106e-7,0.00003777177,0.026955534,0.9571189,0.010500022,0.00034677854,0.0032870297],"study_design_scores_gemma":[0.00031659304,0.00021653667,0.0047185393,0.000010252983,0.000003899551,8.0442595e-7,0.00000860674,0.9754969,0.014037327,0.0051078545,0.000010239044,0.00007247446],"about_ca_topic_score_codex":0.00014532602,"about_ca_topic_score_gemma":0.000029821193,"teacher_disagreement_score":0.94854134,"about_ca_system_score_codex":0.000031015716,"about_ca_system_score_gemma":0.000048270547,"threshold_uncertainty_score":0.22935992},"labels":[],"label_agreement":null},{"id":"W1648331877","doi":"10.1002/0471142301.ns0624s49","title":"EEG Recording in Rodents, with a Focus on Epilepsy","year":2009,"lang":"en","type":"article","venue":"Current Protocols in Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; University of Toronto; Hospital for Sick Children; Toronto Western Hospital","funders":"","keywords":"Epilepsy; Electroencephalography; Focus (optics); Neuroscience; Psychology; Audiology; Cognitive science; Medicine; Physics","score_opus":0.06952473891021915,"score_gpt":0.34930037439578177,"score_spread":0.2797756354855626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1648331877","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92668754,0.000007689258,0.0009104427,0.0020107506,0.0012392161,0.06474854,0.0000107028745,0.00020048549,0.0041846507],"genre_scores_gemma":[0.98731124,0.00001179132,0.00003780668,0.0009251785,0.00003343973,0.011588865,3.4672001e-7,0.000013532929,0.000077776116],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.997234,0.00018367302,0.00036570328,0.0010582636,0.00057385454,0.0005844892],"domain_scores_gemma":[0.9991925,0.00012306341,0.00015139171,0.0004073896,0.00001789691,0.00010777811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034551858,0.00024023291,0.00021884305,0.00036558372,0.0001398464,0.00017816866,0.0006280075,0.000042056083,0.0000069403773],"category_scores_gemma":[0.0006714421,0.00019216356,0.00004063771,0.0017198405,0.00013540508,0.00054125796,0.000070137314,0.0005547797,0.000016654583],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006731157,0.0018615297,0.03369295,0.000059732494,1.4959166e-7,0.00026217263,0.00013334809,0.0023692073,0.72284096,0.022762071,0.00016556632,0.21517916],"study_design_scores_gemma":[0.0079237465,0.011228563,0.7006665,0.0038858498,0.000005495714,0.00020738569,0.00002926235,0.08246368,0.13874753,0.033770736,0.018849222,0.0022220127],"about_ca_topic_score_codex":0.000007442316,"about_ca_topic_score_gemma":0.000016167472,"teacher_disagreement_score":0.6669736,"about_ca_system_score_codex":0.00011333971,"about_ca_system_score_gemma":0.00006270823,"threshold_uncertainty_score":0.78362024},"labels":[],"label_agreement":null},{"id":"W1648516135","doi":"10.1016/j.ijpsycho.2015.09.003","title":"Rhythmic neural activity indicates the contribution of attention and memory to the processing of occluded movements in 10-month-old infants","year":2015,"lang":"en","type":"article","venue":"International Journal of Psychophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Max-Planck-Gesellschaft; Deutsche Forschungsgemeinschaft; International Max Planck Research School for Environmental, Cellular and Molecular Microbiology; Strategic Innovation Fund","keywords":"Psychology; Rhythm; Stimulus (psychology); Electroencephalography; Neural activity; Movement (music); Object (grammar); Neuroscience; Cognitive psychology; Communication; Artificial intelligence; Computer science","score_opus":0.025365649170154308,"score_gpt":0.3120861483793041,"score_spread":0.28672049920914977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1648516135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962182,0.000027413831,0.00014503903,0.0026103077,0.00081937684,0.00013460644,0.000008485059,0.000001908869,0.000034638848],"genre_scores_gemma":[0.9993366,0.000021710648,0.000010653764,0.0004809066,0.00011130717,0.0000034568716,0.0000013739046,0.000003705964,0.00003028263],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989922,0.00016694509,0.00033393005,0.000114522714,0.00030237276,0.00009005184],"domain_scores_gemma":[0.99888843,0.00013949726,0.0005958523,0.0000733681,0.00027086356,0.000032013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003670998,0.00006824047,0.00014476481,0.00014198122,0.000028605284,0.000015251692,0.000270809,0.000034406843,0.0000050365647],"category_scores_gemma":[0.00047844875,0.000039847157,0.000045043453,0.0001492708,0.000102856946,0.00018922036,0.00006480931,0.00014644329,0.0000012120273],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012416497,0.000096563504,0.002222661,0.0000030709652,0.000013239538,0.000004127068,0.00021368347,0.0008050435,0.9843303,0.00006433667,0.00008185112,0.010923462],"study_design_scores_gemma":[0.0034975205,0.001185595,0.815391,0.00013682888,0.000015424734,0.00014934698,0.00024785448,0.017635465,0.15532511,0.006104817,0.00017804683,0.00013295081],"about_ca_topic_score_codex":0.000032208256,"about_ca_topic_score_gemma":0.000016780557,"teacher_disagreement_score":0.8290052,"about_ca_system_score_codex":0.000036144935,"about_ca_system_score_gemma":0.000030532407,"threshold_uncertainty_score":0.16249198},"labels":[],"label_agreement":null},{"id":"W1650967526","doi":"10.1093/oxfordhb/9780195392661.013.0005","title":"New Perspectives on Absolute Pitch in Birds and Mammals","year":2012,"lang":"en","type":"book","venue":"Oxford University Press eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Queen's University","funders":"","keywords":"Absolute (philosophy); Absolute pitch; Relative pitch; Zoology; Geography; Communication; Biology; Psychology; Philosophy; Epistemology; Neuroscience","score_opus":0.02825280284334619,"score_gpt":0.21675254482494247,"score_spread":0.18849974198159627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1650967526","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0069933427,0.00006146743,0.00006722042,0.000052830095,0.0002905539,0.00036980843,0.00006661716,0.00008788594,0.9920103],"genre_scores_gemma":[0.0062001725,0.00055449037,0.000050418555,0.000103950966,0.00015032942,5.354118e-7,0.000004951591,0.0000341365,0.992901],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986764,0.00007417683,0.00011585982,0.00058160245,0.00023308881,0.0003188695],"domain_scores_gemma":[0.99924684,0.00015555383,0.00013065462,0.00028486786,0.000020569998,0.0001615474],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007446236,0.00027311122,0.00026613526,0.0002676549,0.00013115001,0.000052763706,0.0002852957,0.0002509221,0.000024299068],"category_scores_gemma":[0.000025898955,0.0002911502,0.00008475737,0.000025721565,0.00011776501,0.00014683127,0.00024799872,0.0004831603,0.000002155115],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047734307,0.00005833097,0.000025837715,0.00009158528,0.000025386937,0.00025078023,0.0012918113,0.000016059863,0.003201985,0.9624547,0.012780592,0.019325582],"study_design_scores_gemma":[0.0005706017,0.00013001556,0.00020463817,0.00009190061,0.00003415099,0.000012773399,0.000077614124,0.00010094174,0.00045111825,0.0006517454,0.99733704,0.00033748595],"about_ca_topic_score_codex":0.000094927535,"about_ca_topic_score_gemma":0.000038414702,"teacher_disagreement_score":0.98455644,"about_ca_system_score_codex":0.00025559217,"about_ca_system_score_gemma":0.00011004884,"threshold_uncertainty_score":0.99995404},"labels":[],"label_agreement":null},{"id":"W1674832005","doi":"10.1016/j.cub.2015.06.074","title":"Computational abstraction towards a theory of the brain","year":2015,"lang":"en","type":"article","venue":"Current Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Biology; Abstraction; Cognitive science; Evolutionary biology; Computational biology; Epistemology","score_opus":0.10412276188613095,"score_gpt":0.33624320755473147,"score_spread":0.23212044566860052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1674832005","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98867923,0.000056543304,0.0040149554,0.0018820696,0.003560031,0.00012402785,0.000028742781,0.000024141054,0.001630253],"genre_scores_gemma":[0.99948865,0.0000037274933,0.000015029863,0.00032291384,0.000063935346,0.0000033259025,0.0000068798126,0.0000026621929,0.00009287368],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994383,0.00017417768,0.00010691858,0.00012944515,0.00007296555,0.00007818638],"domain_scores_gemma":[0.99959844,0.00017700397,0.00008163096,0.000083620864,0.00003436722,0.00002491714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018700484,0.000046709203,0.000058079928,0.00002574009,0.000036673646,0.0000047687263,0.000112156114,0.00002877958,0.000017197974],"category_scores_gemma":[0.0005384681,0.000028525086,0.000037925693,0.00009862972,0.00013154533,0.000033129232,0.000045955483,0.00009086996,0.00001709593],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012618092,0.00021481418,0.0030526929,0.000019668947,0.000005608599,6.026688e-7,0.0002378548,0.002098585,0.2038666,0.4827275,0.0051889247,0.302461],"study_design_scores_gemma":[0.0011652136,0.00037632333,0.059215214,0.000027289538,0.000014741061,0.00005768974,0.00007161621,0.019978786,0.04114903,0.78559136,0.092100196,0.0002525514],"about_ca_topic_score_codex":0.0000031362163,"about_ca_topic_score_gemma":9.031779e-7,"teacher_disagreement_score":0.30286387,"about_ca_system_score_codex":0.000017262782,"about_ca_system_score_gemma":0.000047367448,"threshold_uncertainty_score":0.11632192},"labels":[],"label_agreement":null},{"id":"W1698604584","doi":"10.1523/jneurosci.20-19-07478.2000","title":"Cortical Feedback Controls the Frequency and Synchrony of Oscillations in the Visual Thalamus","year":2000,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":181,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Medical Research Council; Medical Research Council Canada; Centre National de la Recherche Scientifique","keywords":"Thalamus; Neuroscience; Visual cortex; Geniculate; Lateral geniculate nucleus; Oscillation (cell signaling); Cortex (anatomy); Negative feedback; Nucleus; Physics; Biology","score_opus":0.025645780785936916,"score_gpt":0.2803854705074104,"score_spread":0.2547396897214735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1698604584","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956917,0.00003559566,0.000092037444,0.0028660737,0.00024676305,0.00014051345,0.0000035462813,0.000003327766,0.000920434],"genre_scores_gemma":[0.99763495,0.00018363513,0.000019021772,0.0020493902,0.000047157206,0.0000014622016,3.2843328e-8,0.0000041719177,0.000060193906],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998416,0.0003155396,0.00040188245,0.0001683453,0.0005118015,0.00018640584],"domain_scores_gemma":[0.9986955,0.00085645437,0.00021444501,0.0001424436,0.00003984213,0.000051313385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006322764,0.0000859279,0.00014638832,0.000071620125,0.00021361526,0.00009318286,0.0004185041,0.000025567046,0.000023738377],"category_scores_gemma":[0.0009925874,0.000043088905,0.00006124075,0.0005357598,0.0005570117,0.0003081591,0.000024578883,0.00033961894,0.0000021135706],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004057013,0.00010935524,0.004295629,0.000003790968,4.970062e-7,0.000054320753,0.00019877184,0.00043168783,0.988553,0.002526984,0.00003278128,0.0037526144],"study_design_scores_gemma":[0.00080624566,0.0012108074,0.9555456,0.000038012557,0.000019719024,0.0019529961,0.00011694158,0.032541875,0.004032577,0.0023132332,0.001291206,0.0001307773],"about_ca_topic_score_codex":0.0000074131444,"about_ca_topic_score_gemma":0.000005500766,"teacher_disagreement_score":0.98452044,"about_ca_system_score_codex":0.000013453409,"about_ca_system_score_gemma":0.000056829358,"threshold_uncertainty_score":0.20523328},"labels":[],"label_agreement":null},{"id":"W17193241","doi":"10.1016/s0079-6123(01)31035-x","title":"Chapter 31 Triphasic adaptation of teleost horizontal cells","year":2001,"lang":"en","type":"review","venue":"Progress in brain research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Adaptation (eye); Biology; Neuroscience","score_opus":0.24570067155502448,"score_gpt":0.44128751942296357,"score_spread":0.1955868478679391,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W17193241","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001408287,0.99262977,0.000020355874,0.000190032,0.0005392081,0.0026195135,0.00007309374,0.000048821174,0.0024709322],"genre_scores_gemma":[0.0022380063,0.99548435,0.00011751025,0.00002108048,0.00018072057,0.00039043103,0.000033639804,0.00007618595,0.0014580928],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99539036,0.00079994096,0.00082522276,0.00094710296,0.0012621654,0.0007752301],"domain_scores_gemma":[0.9971743,0.0017095214,0.0003171802,0.00053319114,0.00013889345,0.000126887],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019745997,0.0003568659,0.0009851751,0.0012354066,0.00015410314,0.00011618089,0.00081582234,0.00033012914,0.00008351376],"category_scores_gemma":[0.0006464663,0.0002943017,0.00028447123,0.0021253435,0.00059912284,0.00018352667,0.00030336,0.0013441083,0.00011216009],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003561969,0.00020219357,0.00001866938,0.0030137864,0.00000662959,0.00014628441,0.000048219597,0.0000011092433,0.00013332009,0.0024088593,0.00013016372,0.9938551],"study_design_scores_gemma":[0.00043368782,0.00055042305,0.000012662446,0.0038565593,0.000018391396,0.00005816341,0.000032125532,0.00077840924,0.00033873064,0.00036234022,0.9932222,0.0003363568],"about_ca_topic_score_codex":0.000041205596,"about_ca_topic_score_gemma":0.000045235538,"teacher_disagreement_score":0.99351877,"about_ca_system_score_codex":0.00019736306,"about_ca_system_score_gemma":0.00024789412,"threshold_uncertainty_score":0.9999509},"labels":[],"label_agreement":null},{"id":"W1744075219","doi":"10.1111/psyp.12287","title":"Reliability of event‐related <scp>EEG</scp> functional connectivity during visual entrainment: Magnitude squared coherence and phase synchrony estimates","year":2014,"lang":"en","type":"article","venue":"Psychophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"U.S. Army Medical Research Acquisition Activity; National Institute of Mental Health; Canadian Institutes of Health Research","keywords":"Electroencephalography; Coherence (philosophical gambling strategy); Reliability (semiconductor); Psychology; Pairwise comparison; Statistics; Entrainment (biomusicology); Functional connectivity; Pattern recognition (psychology); Mathematics; Cognitive psychology; Neuroscience; Physics","score_opus":0.011174198545850266,"score_gpt":0.2726778770370534,"score_spread":0.2615036784912031,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1744075219","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972404,0.000017791823,0.0012381434,0.000071809896,0.00072778034,0.00031239758,0.000033572236,0.00007949903,0.00027858242],"genre_scores_gemma":[0.999557,0.000025491001,0.00006342606,0.00017075866,0.000053007832,0.000035152625,0.00002096993,0.000016859392,0.00005732359],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99810046,0.00027982597,0.00036405594,0.000714515,0.00019300981,0.00034815777],"domain_scores_gemma":[0.99807626,0.0012575763,0.0002363561,0.00025893058,0.00006109725,0.000109790926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021284093,0.00021769361,0.000325837,0.00008007298,0.0001840887,0.000018919596,0.00013239248,0.00012397191,0.0000951327],"category_scores_gemma":[0.0014668718,0.0001970499,0.00008301095,0.00020858478,0.0003291017,0.00016586955,0.000081130216,0.00022680777,0.00002655362],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001538578,0.0005373167,0.0015046378,0.000078235025,0.000010210083,0.0000022231138,0.00006254136,0.00034175374,0.9952377,0.0003612706,0.000041875766,0.0016683993],"study_design_scores_gemma":[0.005759332,0.0022735095,0.42212823,0.000051394745,0.000049675084,0.00006313386,0.000045986246,0.09626418,0.44706813,0.025901577,0.00015970437,0.00023514785],"about_ca_topic_score_codex":0.000018578883,"about_ca_topic_score_gemma":0.0000022689294,"teacher_disagreement_score":0.54816955,"about_ca_system_score_codex":0.00003687143,"about_ca_system_score_gemma":0.000018731436,"threshold_uncertainty_score":0.8035462},"labels":[],"label_agreement":null},{"id":"W1748347999","doi":"10.1684/j.1950-6945.2001.tb00408.x","title":"Éditorial: L'analyse de l'EEG: de Berger à nos jours","year":2001,"lang":"fr","type":"article","venue":"Epileptic Disorders","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Humanities; Art; Philosophy","score_opus":0.013310088425990092,"score_gpt":0.25906303389597357,"score_spread":0.24575294546998347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1748347999","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8989766,0.00085469143,0.007946213,0.036570217,0.037240613,0.0005294447,0.000033503195,0.00029987126,0.0175488],"genre_scores_gemma":[0.96640515,0.003360155,0.00034010096,0.0030500295,0.0027475685,0.000036476,0.000007727678,0.000115034316,0.02393777],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967522,0.0004319577,0.00046067362,0.00068728253,0.0004604513,0.0012074604],"domain_scores_gemma":[0.9983289,0.00051661854,0.00020526555,0.00048529677,0.000052906107,0.000410977],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006042311,0.0003700707,0.00033360234,0.00017801947,0.00039985892,0.00023139536,0.00044487393,0.00027483,0.0015833797],"category_scores_gemma":[0.0012112557,0.00039255497,0.0003406019,0.00084002997,0.00037831825,0.00039779366,0.0000979716,0.00056791364,0.0009274518],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006159023,0.0030588387,0.13711667,0.00027333476,0.00027425447,0.0008797832,0.0023581514,0.032992896,0.14167301,0.044720057,0.38701063,0.24902645],"study_design_scores_gemma":[0.00186344,0.00067234907,0.045529194,0.00016446158,0.0004091364,0.00021842054,0.0006846566,0.10210515,0.0009461908,0.023469528,0.8227601,0.0011773942],"about_ca_topic_score_codex":0.0018861346,"about_ca_topic_score_gemma":0.0019233612,"teacher_disagreement_score":0.43574944,"about_ca_system_score_codex":0.0003456317,"about_ca_system_score_gemma":0.00033517275,"threshold_uncertainty_score":0.99985266},"labels":[],"label_agreement":null},{"id":"W1760547568","doi":"10.1162/jocn_a_00894","title":"Attentional Selection Can Be Predicted by Reinforcement Learning of Task-relevant Stimulus Features Weighted by Value-independent Stickiness","year":2015,"lang":"en","type":"article","venue":"Journal of Cognitive Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Ministero dello Sviluppo Economico; Ontario Ministry of Economic Development and Innovation; York University","keywords":"Psychology; Stimulus (psychology); Covert; Reinforcement learning; Reinforcement; Perception; Action selection; Cognitive psychology; Artificial intelligence; Computer science; Neuroscience; Social psychology","score_opus":0.02257153624643923,"score_gpt":0.2705919649662724,"score_spread":0.24802042871983318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1760547568","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94941926,0.00003155339,0.047460653,0.00084564026,0.0014808922,0.000303851,0.00013938,0.000033160057,0.00028563323],"genre_scores_gemma":[0.99770176,0.000066252695,0.00002977145,0.0011224801,0.00008285101,0.000004855347,0.000017231527,0.000018256416,0.0009565598],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9965001,0.00031099774,0.0006244573,0.0004089694,0.0018012258,0.00035427697],"domain_scores_gemma":[0.9973466,0.00041830342,0.0009891043,0.000078844656,0.0008777824,0.00028937214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005823556,0.00021947482,0.00028853747,0.00024702342,0.00024513813,0.00010711362,0.0003251377,0.00007210691,0.00001664995],"category_scores_gemma":[0.0039437977,0.00018028238,0.00010886845,0.000778633,0.00030045828,0.00051999517,0.00009322956,0.0006060229,8.9340267e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000423456,0.0002085096,0.0010154065,0.0000122163265,0.00000708486,0.000033550168,0.00014753586,0.0054890774,0.9867665,0.00020553409,0.0051252446,0.0005658505],"study_design_scores_gemma":[0.005359241,0.0076943617,0.015859105,0.00035781407,0.00018399284,0.0012291068,0.00041325606,0.18046077,0.7841981,0.00053146604,0.0031007668,0.0006120464],"about_ca_topic_score_codex":0.000028935918,"about_ca_topic_score_gemma":0.0000024516894,"teacher_disagreement_score":0.20256846,"about_ca_system_score_codex":0.00012880992,"about_ca_system_score_gemma":0.0002827872,"threshold_uncertainty_score":0.7351702},"labels":[],"label_agreement":null},{"id":"W1762692232","doi":"10.1093/cercor/bhv157","title":"Regulation of Cortical Dynamic Range by Background Synaptic Noise and Feedforward Inhibition","year":2015,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Hospital for Sick Children","funders":"National Institute of Neurological Disorders and Stroke; Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Feed forward; Neuroscience; Dynamic range; Neural coding; Population; Noise (video); Coding (social sciences); Automatic gain control; Wide dynamic range; Computer science; Biology; Artificial intelligence; Telecommunications; Mathematics; Engineering; Computer vision; Medicine","score_opus":0.029181107483126786,"score_gpt":0.25468176421623695,"score_spread":0.22550065673311015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1762692232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99741685,0.000038480437,0.0009752456,0.0003174094,0.00026992802,0.00021471534,0.000029478197,0.000051981915,0.00068591104],"genre_scores_gemma":[0.99910635,0.000013578527,0.000057443296,0.00024602117,0.000026710146,0.0000061008905,0.000033199605,0.000016700047,0.0004939005],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99886245,0.00009196984,0.00025484993,0.00033077534,0.0002705746,0.00018941257],"domain_scores_gemma":[0.9994248,0.00009232225,0.000118892676,0.00016412801,0.00005849054,0.00014136496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001455085,0.00012768387,0.00017276894,0.00005151102,0.00007604855,0.000043421227,0.000062115585,0.00008241725,0.0000417627],"category_scores_gemma":[0.00017025274,0.00011598983,0.00004143734,0.00019508535,0.00017803902,0.00029986564,0.000054995002,0.0001321528,0.000031159485],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000150475,0.00006737152,0.0026952084,0.00003225653,0.000004753678,0.000004576509,0.00005682856,0.000014807695,0.9904846,0.0038864522,0.00090285006,0.0016998369],"study_design_scores_gemma":[0.0051610214,0.0019570051,0.574177,0.00012691242,0.00014326666,0.0002918275,0.00033091253,0.33152887,0.06672944,0.017913729,0.0007145163,0.0009254611],"about_ca_topic_score_codex":0.000021257267,"about_ca_topic_score_gemma":0.000012795005,"teacher_disagreement_score":0.92375517,"about_ca_system_score_codex":0.00006394319,"about_ca_system_score_gemma":0.00002475961,"threshold_uncertainty_score":0.4729928},"labels":[],"label_agreement":null},{"id":"W1777471352","doi":"10.1111/j.1460-9568.2011.07691.x","title":"Probing basal ganglia functions by saccade eye movements","year":2011,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Canadian Institutes of Health Research","keywords":"Saccade; Neuroscience; Basal ganglia; Neurophysiology; Biological neural network; Psychology; Motor control; Eye movement; Neuroimaging; Functional neuroimaging; Cognition; Cognitive science; Computer science; Central nervous system","score_opus":0.05274612288802228,"score_gpt":0.24548651917034894,"score_spread":0.19274039628232667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1777471352","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96974325,0.00002019168,0.007969634,0.0004369362,0.003860856,0.00015714565,0.000018433062,0.00006215264,0.017731415],"genre_scores_gemma":[0.990873,0.000034645313,0.00015445297,0.005500285,0.00012749969,8.0818603e-7,2.9935973e-7,0.00003412274,0.0032749113],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99770427,0.0004410678,0.00052407634,0.00039881273,0.0005561628,0.0003756],"domain_scores_gemma":[0.9988926,0.00005060365,0.0005058847,0.0002381982,0.00007955278,0.0002331574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066933467,0.00018230156,0.00015869613,0.00018139134,0.00033390865,0.00012612424,0.00078188855,0.000016393318,0.00006246091],"category_scores_gemma":[0.0006262995,0.00014875706,0.00011685778,0.0005675119,0.00022149565,0.00079362124,0.0001446046,0.0004055734,0.00008632706],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003888595,0.0001340369,0.00030013343,0.00000353401,9.863612e-7,0.00027819225,0.00017677456,0.000031014646,0.99382234,0.00008347508,0.0033789955,0.0017516356],"study_design_scores_gemma":[0.0029741474,0.00615918,0.15024424,0.0002157736,0.000065877524,0.0006355654,0.00030629264,0.0051903958,0.76460165,0.0017827379,0.06646771,0.0013564548],"about_ca_topic_score_codex":0.0000015591066,"about_ca_topic_score_gemma":1.9008556e-7,"teacher_disagreement_score":0.2292207,"about_ca_system_score_codex":0.00003163237,"about_ca_system_score_gemma":0.00003866119,"threshold_uncertainty_score":0.60661364},"labels":[],"label_agreement":null},{"id":"W1782792905","doi":"10.1093/cercor/bhv128","title":"Ketamine Alters Outcome-Related Local Field Potentials in Monkey Prefrontal Cortex","year":2015,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials; Western University; York University","funders":"Canadian Institutes of Health Research; Ontario Mental Health Foundation","keywords":"Local field potential; Neuroscience; Prefrontal cortex; Antisaccade task; Macaque; Saccade; Psychology; Cognition; Ketamine; Eye movement","score_opus":0.03730138937132643,"score_gpt":0.27128704778398455,"score_spread":0.23398565841265812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1782792905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905276,0.000023739945,0.000839465,0.00075109553,0.001848428,0.00035670833,0.00001535468,0.0001258198,0.005511805],"genre_scores_gemma":[0.99386233,0.0000062715258,0.000037381753,0.0018883778,0.00006398813,0.000012230273,0.000021340145,0.000029011668,0.004079085],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99791384,0.0001272316,0.00053493696,0.0005898036,0.00038254747,0.00045164232],"domain_scores_gemma":[0.9991471,0.00011199213,0.0001465912,0.00032140673,0.000038407554,0.00023451367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018185894,0.00023790299,0.0003113211,0.00014846721,0.00007226908,0.0000651989,0.00029913936,0.0001538845,0.00021160835],"category_scores_gemma":[0.000339207,0.000210674,0.00011244665,0.00035943868,0.00012602117,0.00032502107,0.00014276658,0.00036170578,0.00026225956],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008221496,0.0006715735,0.12053228,0.000066353896,0.00003462784,0.00083778566,0.00054718426,0.0013892372,0.8220278,0.0062463437,0.0077898325,0.0390348],"study_design_scores_gemma":[0.009149762,0.0032460424,0.7083818,0.00011078363,0.00009249623,0.00043933277,0.0006382732,0.20367332,0.059835427,0.008714777,0.003841207,0.0018767967],"about_ca_topic_score_codex":0.00035813125,"about_ca_topic_score_gemma":0.00022577227,"teacher_disagreement_score":0.7621924,"about_ca_system_score_codex":0.00013983087,"about_ca_system_score_gemma":0.000054078613,"threshold_uncertainty_score":0.8591036},"labels":[],"label_agreement":null},{"id":"W178873105","doi":"10.1016/b978-008045046-9.00292-8","title":"Human Methods: Psychophysics","year":2009,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Psychophysics; Set (abstract data type); Representation (politics); Psychology; Computer science; Measure (data warehouse); Sensitivity (control systems); Cognitive psychology; Artificial intelligence; Psychometric function; Cognitive science; Perception; Neuroscience; Data mining","score_opus":0.043019276634579134,"score_gpt":0.32193540293891654,"score_spread":0.2789161263043374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W178873105","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000051121275,0.000063831,0.00003337684,0.00011096365,0.00088506023,0.00042725253,0.000020776488,0.00016726137,0.99824035],"genre_scores_gemma":[0.00031245433,0.000042316213,0.00088061206,0.003562568,0.00058714964,0.000012726001,0.000008815135,0.00009904241,0.9944943],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980346,0.00008292215,0.00040278723,0.0008137748,0.00035264186,0.00031327264],"domain_scores_gemma":[0.9987386,0.00009572562,0.0003051642,0.000696347,0.00004203281,0.00012212795],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018993355,0.00046171574,0.00046312998,0.00014081302,0.00025140817,0.000094837844,0.00040538868,0.0002885855,0.0001682752],"category_scores_gemma":[0.000032378277,0.00042527163,0.00033560555,0.000021116952,0.00014206069,0.00005668309,0.00008556501,0.00070096605,0.0003247772],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000051498632,0.000008661492,3.7603698e-8,0.00001598758,0.000006677893,0.00002315709,0.000017089158,6.2529745e-7,0.04918555,0.07232788,0.00021150081,0.87819767],"study_design_scores_gemma":[0.00012701981,0.000114433584,0.0000029533896,0.000084879684,0.000036245972,0.000015584264,3.6187996e-7,0.000020313611,0.002354637,0.25413847,0.7427402,0.00036486608],"about_ca_topic_score_codex":1.334583e-7,"about_ca_topic_score_gemma":0.000001913051,"teacher_disagreement_score":0.87783283,"about_ca_system_score_codex":0.000062922496,"about_ca_system_score_gemma":0.000031022973,"threshold_uncertainty_score":0.99981993},"labels":[],"label_agreement":null},{"id":"W1793067680","doi":"10.1371/journal.pcbi.1004275","title":"Automated High-Throughput Characterization of Single Neurons by Means of Simplified Spiking Models","year":2015,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":100,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"École Polytechnique Fédérale de Lausanne; European Commission; Fonds Québécois de la Recherche sur la Nature et les Technologies; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Computer science; Throughput; Characterization (materials science); Subthreshold conduction; Biological system; Electrophysiology; Artificial intelligence; Neuroscience; Biology; Nanotechnology","score_opus":0.07670084758336161,"score_gpt":0.2681783091407835,"score_spread":0.1914774615574219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1793067680","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95160764,0.000003123889,0.047060627,0.00039011566,0.00023998547,0.00014682411,0.00024921712,0.000120330355,0.00018210257],"genre_scores_gemma":[0.99850076,0.0000024217966,0.00063822925,0.0003608909,0.000025252102,0.0000047841313,0.00043787406,0.000011918252,0.000017855953],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989851,0.00013909145,0.00032085832,0.00025983248,0.00016148956,0.00013359751],"domain_scores_gemma":[0.99920636,0.0002359215,0.00026210645,0.00009349259,0.00015702072,0.00004510987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006592421,0.00009871685,0.00019324238,0.000086092354,0.000038915532,0.000008570902,0.00012253177,0.000064586886,0.000007488833],"category_scores_gemma":[0.00017294046,0.00009243114,0.000031862633,0.00022267344,0.00011594856,0.0001412207,0.000054095286,0.000056825163,0.0000050240687],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035573994,0.00017074743,0.0001149948,0.000010862136,0.0000062190816,5.9230814e-7,0.000057093388,0.04244514,0.94101626,0.015814431,0.00006628072,0.00026182792],"study_design_scores_gemma":[0.0003620378,0.00032292213,0.00069512,0.000009207969,0.000008690905,0.0000049473556,0.000004028433,0.8067626,0.17268734,0.018999256,0.000056232337,0.00008765006],"about_ca_topic_score_codex":0.000014945566,"about_ca_topic_score_gemma":7.384017e-7,"teacher_disagreement_score":0.7683289,"about_ca_system_score_codex":0.00002536031,"about_ca_system_score_gemma":0.00004160431,"threshold_uncertainty_score":0.37692326},"labels":[],"label_agreement":null},{"id":"W1806851391","doi":"10.1152/jn.2000.84.2.1093","title":"Spindle-Like Thalamocortical Synchronization in a Rat Brain Slice Preparation","year":2000,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Medical Research Council; Medical Research Council Canada; Consiglio Nazionale delle Ricerche","keywords":"Neuroscience; Synchronization (alternating current); Thalamus; Psychology; Communication; Computer science","score_opus":0.016737874245564336,"score_gpt":0.2698618822875662,"score_spread":0.25312400804200186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1806851391","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974958,0.0000049439795,0.0001767452,0.0011259639,0.0006441531,0.000120354925,8.9537787e-7,0.000012986305,0.00041818817],"genre_scores_gemma":[0.9964974,0.00009819704,0.000038435664,0.002712634,0.00021511207,0.0000023750727,0.0000011995572,0.000013361972,0.00042131668],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986035,0.00033425176,0.00045290944,0.0002293255,0.00018011544,0.00019988336],"domain_scores_gemma":[0.99932116,0.00024601692,0.00019252223,0.00013384609,0.0000451402,0.0000613321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006088179,0.00011153905,0.00021128014,0.00013856243,0.00005661536,0.00002762308,0.00017189205,0.000068312474,0.00020547853],"category_scores_gemma":[0.00035502654,0.00009192652,0.00007552702,0.00033879332,0.00006974961,0.00029866697,0.000021268082,0.00029320575,0.000059468974],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042802206,0.00013112447,0.00005922994,0.0000065849804,0.0000015890172,0.0001538347,0.000050298444,0.013356414,0.9779202,0.0002968739,0.00018197189,0.007413899],"study_design_scores_gemma":[0.008057466,0.018665899,0.2236932,0.00021452838,0.000084372805,0.006310207,0.00005267005,0.5840403,0.10084997,0.012016845,0.044715602,0.0012989541],"about_ca_topic_score_codex":0.0000030477727,"about_ca_topic_score_gemma":0.0000021847031,"teacher_disagreement_score":0.8770702,"about_ca_system_score_codex":0.000041572515,"about_ca_system_score_gemma":0.000048362544,"threshold_uncertainty_score":0.37486547},"labels":[],"label_agreement":null},{"id":"W1811578736","doi":"10.1152/jn.00780.2015","title":"Neuronal coupling by endogenous electric fields: cable theory and applications to coincidence detector neurons in the auditory brain stem","year":2016,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute on Deafness and Other Communication Disorders; Canadian Institutes of Health Research","keywords":"Physics; Coincidence detection in neurobiology; Neuroscience; Coupling (piping); Local field potential; Population; Coincidence; Psychology","score_opus":0.024285382448035752,"score_gpt":0.2447728055975363,"score_spread":0.22048742314950057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1811578736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932844,0.000031298645,0.0035602076,0.0024610749,0.0003702496,0.00024269836,0.000008371916,0.000011104858,0.000030581403],"genre_scores_gemma":[0.99302125,0.00014778216,0.000006958106,0.0063905395,0.00027252032,0.000019603234,1.1769872e-7,0.000014816535,0.00012638913],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984784,0.0004481634,0.00032822273,0.00028528282,0.00018886059,0.00027106432],"domain_scores_gemma":[0.9955337,0.0039218334,0.00021550812,0.0001999994,0.000045429435,0.00008351866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021266197,0.00012973249,0.00019077308,0.00014005165,0.00014899221,0.000028757268,0.00041349474,0.0000474673,0.00000921083],"category_scores_gemma":[0.0006509424,0.00007535379,0.000056419027,0.0003075029,0.000083086634,0.00012940547,0.00006548036,0.00032719283,0.000012137129],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015620394,0.000046248355,0.000014812618,0.0000045983165,0.0000016276148,0.00007435288,0.00003174182,0.00065142254,0.9935307,0.00046220626,0.00044847254,0.004577606],"study_design_scores_gemma":[0.0076692756,0.031226078,0.11310036,0.00025297987,0.00020408432,0.02168234,0.00038888198,0.015356445,0.66583437,0.033251673,0.108507395,0.002526138],"about_ca_topic_score_codex":0.0000033365736,"about_ca_topic_score_gemma":0.0000014411795,"teacher_disagreement_score":0.32769635,"about_ca_system_score_codex":0.00002548443,"about_ca_system_score_gemma":0.000055249882,"threshold_uncertainty_score":0.30728385},"labels":[],"label_agreement":null},{"id":"W1821334170","doi":"10.1111/j.1460-9568.2005.03932.x","title":"Modulation of synaptic transmission in neocortex by network activities","year":2005,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":109,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Neuroscience; Excitatory postsynaptic potential; Postsynaptic potential; Neurotransmission; Neocortex; Postsynaptic Current; Chemistry; Biology; Inhibitory postsynaptic potential","score_opus":0.022642116930437654,"score_gpt":0.23797446707188458,"score_spread":0.21533235014144692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1821334170","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98903465,0.00005242101,0.008774912,0.00055881956,0.0004504915,0.00008228464,0.000002306312,0.000011863859,0.0010322767],"genre_scores_gemma":[0.99865913,0.00014838784,0.00029670738,0.0005988356,0.00011338858,2.560146e-7,1.6275526e-7,0.000015812178,0.00016733873],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99809426,0.00047978002,0.00053796737,0.00023168497,0.0004194704,0.00023683932],"domain_scores_gemma":[0.9991536,0.00014673216,0.0004501175,0.0001288659,0.000028589555,0.00009207251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068688346,0.00011671844,0.00017765183,0.00015204145,0.000087198016,0.000043697793,0.00037862748,0.000015251204,0.00001014043],"category_scores_gemma":[0.000227764,0.000096604905,0.00007678178,0.0005268335,0.00015038291,0.0006651204,0.000037608283,0.000261747,0.0000029745754],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053784013,0.000073618976,0.00015111713,0.0000052247615,3.928796e-7,0.00004877993,0.00007591144,0.028599119,0.9382153,0.00008394226,0.000184165,0.032508623],"study_design_scores_gemma":[0.0026529005,0.003410294,0.25300446,0.00047591247,0.000030804196,0.0011956989,0.00006515339,0.468146,0.23177561,0.00056643586,0.037957888,0.0007188512],"about_ca_topic_score_codex":8.250383e-7,"about_ca_topic_score_gemma":5.0217386e-7,"teacher_disagreement_score":0.70643973,"about_ca_system_score_codex":0.00002773648,"about_ca_system_score_gemma":0.000029156241,"threshold_uncertainty_score":0.39394337},"labels":[],"label_agreement":null},{"id":"W1828285045","doi":"10.1111/j.1467-7687.2009.00875.x","title":"Evidence for intact memory‐guided attention in school‐aged children","year":2009,"lang":"en","type":"article","venue":"Developmental Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Innovation Trust","keywords":"Psychology; Touchscreen; Cognitive psychology; Visual attention; Software deployment; Cognition; Developmental psychology; Neuroscience; Computer science; Human–computer interaction","score_opus":0.07055577634830372,"score_gpt":0.3154285529139745,"score_spread":0.24487277656567075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1828285045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996916,0.000009995159,0.00037470486,0.00071478885,0.0003235681,0.0006053556,0.00000333114,0.00006153561,0.0009907511],"genre_scores_gemma":[0.9958961,0.000022325183,0.0019428262,0.0017513172,0.000033733133,0.000024884175,0.000003199545,0.000005836253,0.000319768],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99807584,0.000037457427,0.0002831699,0.00067378295,0.00048795916,0.00044180965],"domain_scores_gemma":[0.99949354,0.00010892267,0.00008326146,0.00014132254,0.00003611489,0.00013684624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000793699,0.00013844215,0.000117280986,0.00024170871,0.00041066378,0.00017578046,0.0005261763,0.000034411874,0.000037495665],"category_scores_gemma":[0.0017240604,0.00012512498,0.000042242376,0.0012743335,0.0001679035,0.0012209046,0.00008672466,0.00012565048,0.00006258814],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002872509,0.000042372623,0.029741272,0.0000024484127,3.3847257e-7,0.0000032816306,0.000054271335,0.000019702944,0.9576774,0.0002606445,0.00019437623,0.011975131],"study_design_scores_gemma":[0.0003656294,0.0000863239,0.8724039,0.000068220914,0.0000013758356,0.00004569451,0.000020249296,0.0008995269,0.12514897,0.00076409604,0.000017367774,0.00017864292],"about_ca_topic_score_codex":0.00002719372,"about_ca_topic_score_gemma":0.000021161994,"teacher_disagreement_score":0.84266263,"about_ca_system_score_codex":0.00039939405,"about_ca_system_score_gemma":0.00021651707,"threshold_uncertainty_score":0.51024485},"labels":[],"label_agreement":null},{"id":"W1843757395","doi":"10.3389/fncom.2015.00112","title":"Volterra representation enables modeling of complex synaptic nonlinear dynamics in large-scale simulations","year":2015,"lang":"en","type":"article","venue":"Frontiers in Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of General Medical Sciences","keywords":"Synapse; Computer science; Nonlinear system; Representation (politics); Complex dynamics; Transmission (telecommunications); Biological system; Neuroscience; Physics; Mathematics; Telecommunications; Biology","score_opus":0.07023290850396992,"score_gpt":0.30490209511965083,"score_spread":0.23466918661568092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1843757395","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55835694,0.0000063519783,0.44005337,0.00033007894,0.00077302306,0.00020858076,0.00006510579,0.000025741865,0.00018083358],"genre_scores_gemma":[0.9826964,0.0000048912175,0.016767796,0.00040219817,0.000022940929,0.000006489592,0.000048604732,0.000013336402,0.000037314414],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99794066,0.00016048954,0.000490003,0.00054822554,0.0005666444,0.0002939602],"domain_scores_gemma":[0.99929947,0.00017991477,0.0001496579,0.00017722642,0.00010690864,0.00008683666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027985935,0.00013538658,0.00021747261,0.00046454993,0.00010000706,0.000051663097,0.00030827016,0.0000475404,0.0000026172634],"category_scores_gemma":[0.00078990764,0.00014574625,0.000042738386,0.0013577319,0.00016384172,0.00049498247,0.00010831635,0.00017871254,0.0000016548563],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036323516,0.00015417609,0.018941712,0.000008522917,4.510098e-7,0.000009453356,0.00016158861,0.9751966,0.003962199,0.0012810654,0.000053279247,0.00019465278],"study_design_scores_gemma":[0.0005885809,0.00006452515,0.0037937793,0.00001767841,0.0000023051675,0.00000903284,0.00027809053,0.98343873,0.00014406182,0.011511019,0.000023222812,0.000128982],"about_ca_topic_score_codex":0.0000442113,"about_ca_topic_score_gemma":0.00009873371,"teacher_disagreement_score":0.4243395,"about_ca_system_score_codex":0.00020800703,"about_ca_system_score_gemma":0.00011654846,"threshold_uncertainty_score":0.594336},"labels":[],"label_agreement":null},{"id":"W1844012992","doi":"10.3389/fpsyt.2015.00140","title":"Differential Intrinsic Coupling Modes in Psychological and Physical Trauma","year":2015,"lang":"en","type":"review","venue":"Frontiers in Psychiatry","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Hospital for Sick Children","funders":"Defence Research and Development Canada","keywords":"Neuroimaging; Front (military); Psychology; Differential (mechanical device); Psychiatry; Neuroscience; Medicine; Physics","score_opus":0.051909376023184815,"score_gpt":0.3409739152469446,"score_spread":0.2890645392237598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1844012992","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.061008178,0.9206868,0.00039380183,0.00007926382,0.016359812,0.00085922994,0.000041884534,0.000072622795,0.00049842015],"genre_scores_gemma":[0.010893403,0.98760957,0.0005922151,0.000090084606,0.0005923174,0.00007696754,0.000020549845,0.000055717235,0.000069201014],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99771315,0.00016332738,0.00050589663,0.00095192826,0.00026395347,0.00040172494],"domain_scores_gemma":[0.9993117,0.0000700039,0.00018635442,0.00030495477,0.000009133126,0.00011789226],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014204223,0.0004263759,0.0013139314,0.0004335078,0.000053431293,0.00007255377,0.0003453745,0.0003461772,0.0000058508335],"category_scores_gemma":[0.0000633775,0.00033545186,0.00020517573,0.00058400544,0.00015943672,0.000113173504,0.00010195589,0.0009934229,0.000008491702],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005551508,0.0004543986,0.00038656543,0.0013353204,0.000008109127,0.000020843281,0.000038698843,0.00001709916,0.0000054339207,0.0011053421,0.0038556943,0.99271697],"study_design_scores_gemma":[0.0106327655,0.0022896815,0.002723744,0.024121188,0.0010095597,0.00055341923,0.00057149224,0.12239408,0.000011995194,0.13098614,0.6979791,0.0067268386],"about_ca_topic_score_codex":0.0000041953936,"about_ca_topic_score_gemma":0.000008294693,"teacher_disagreement_score":0.98599017,"about_ca_system_score_codex":0.00011636923,"about_ca_system_score_gemma":0.000057513902,"threshold_uncertainty_score":0.99990976},"labels":[],"label_agreement":null},{"id":"W1844106278","doi":"10.1073/pnas.1510343112","title":"Top-down modulation in the infant brain: Learning-induced expectations rapidly affect the sensory cortex at 6 months","year":2015,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":200,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Canadian Institutes of Health Research; National Institutes of Health; National Institute of Child Health and Human Development; Government of Canada","keywords":"Sensory system; Novelty; Visual cortex; Neuroscience; Psychology; Predictive coding; Stimulus (psychology); Sensory cortex; Cognitive psychology; Coding (social sciences)","score_opus":0.07317879006141155,"score_gpt":0.3168646538813059,"score_spread":0.24368586381989438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1844106278","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9779095,0.000018861709,0.0000013295216,0.017415233,0.00005925155,0.00038315842,0.0000040881696,0.000014459429,0.0041941334],"genre_scores_gemma":[0.9984307,0.000006183338,0.00003523025,0.0011617091,0.000068913905,0.000025343928,1.8955284e-7,0.000004203966,0.0002675102],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.997781,0.00007557749,0.00028689433,0.00028658583,0.0014019783,0.00016798275],"domain_scores_gemma":[0.9985179,0.00087385834,0.00040884508,0.000017634125,0.00015297515,0.000028814726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019220272,0.00010204281,0.000112261136,0.00014926214,0.0004710634,0.000060155784,0.0007556613,0.00006022599,0.000004438187],"category_scores_gemma":[0.0039449413,0.000050583625,0.000070811926,0.001156837,0.0005118213,0.00047135953,0.00012694426,0.00028257893,0.0000034730092],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026548054,0.00003418817,0.005995643,0.000008299377,0.0000021597523,2.4132746e-8,0.0020099464,0.0020387846,0.9642533,0.024571445,0.0006465948,0.00041307881],"study_design_scores_gemma":[0.00064505043,0.0003245203,0.46054086,0.00006277278,0.000014253931,0.00005943487,0.004299076,0.15246007,0.33141038,0.049322654,0.00062477123,0.00023617265],"about_ca_topic_score_codex":0.000016849694,"about_ca_topic_score_gemma":0.0000011008187,"teacher_disagreement_score":0.6328429,"about_ca_system_score_codex":0.00006230933,"about_ca_system_score_gemma":0.000036216028,"threshold_uncertainty_score":0.47227484},"labels":[],"label_agreement":null},{"id":"W1859669881","doi":"10.1152/jn.2000.84.3.1488","title":"Synaptic Background Activity Enhances the Responsiveness of Neocortical Pyramidal Neurons","year":2000,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":283,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec; Université Laval","funders":"National Institute of Neurological Disorders and Stroke","keywords":"Neuroscience; Subthreshold conduction; Premovement neuronal activity; Population; Conductance; Neocortex; Chemistry; In vivo; Pyramidal cell; Electrophysiology; Biophysics; Physics; Biology; Hippocampal formation; Voltage; Medicine","score_opus":0.033255246965577814,"score_gpt":0.2835337186388993,"score_spread":0.2502784716733215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1859669881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977442,0.000006439472,0.000046019963,0.0012046291,0.00072631484,0.00009114953,0.0000047284393,0.000008587953,0.00016793856],"genre_scores_gemma":[0.9985953,0.00016840965,0.000011437834,0.0008857859,0.00018989784,0.0000015985518,1.15360415e-7,0.0000137255765,0.00013370776],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982134,0.00070764974,0.00038823803,0.00021639468,0.00024450352,0.00022981456],"domain_scores_gemma":[0.9979282,0.0013647798,0.00032640502,0.0002450272,0.000068901965,0.00006668132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008359539,0.0001335603,0.0003110725,0.00007644288,0.00012765516,0.000022701668,0.00040464307,0.000055404234,0.00013805575],"category_scores_gemma":[0.0004052655,0.00008208797,0.00017583295,0.00026763024,0.00047771868,0.00019306304,0.00005219664,0.00045520408,0.00001808357],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012563154,0.00013014617,0.000005962205,0.00000804398,0.0000108934655,0.000119616416,0.000016476537,0.0023578876,0.9902748,0.00046981164,0.000018531906,0.00533155],"study_design_scores_gemma":[0.001495608,0.009744324,0.34352195,0.000062958046,0.0001609518,0.003236722,0.000051039995,0.016364677,0.61311877,0.0066000954,0.005182126,0.00046079257],"about_ca_topic_score_codex":0.000004767535,"about_ca_topic_score_gemma":6.2578215e-7,"teacher_disagreement_score":0.37715602,"about_ca_system_score_codex":0.000014517716,"about_ca_system_score_gemma":0.00006780019,"threshold_uncertainty_score":0.33474505},"labels":[],"label_agreement":null},{"id":"W1869800494","doi":"10.3389/fnins.2015.00348","title":"Commentary: “Compensatory plasticity: time matters”","year":2015,"lang":"en","type":"article","venue":"Frontiers in Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; International Laboratory for Brain, Music and Sound Research","funders":"Centre for Research on Brain, Language and Music","keywords":"Neuroscience; Psychology; Cognitive science; Neuroplasticity; Cognition; Cognitive psychology","score_opus":0.026086348044458203,"score_gpt":0.23665850705557034,"score_spread":0.21057215901111215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1869800494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94341403,0.000026802236,0.01303445,0.024798019,0.013834404,0.0006631969,0.000048267677,0.00032131403,0.0038594904],"genre_scores_gemma":[0.8907621,0.000013654922,0.0010728465,0.106885254,0.000099908124,0.000017206514,0.0000021564376,0.00002971941,0.0011171391],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99802697,0.000172104,0.000227132,0.0006424874,0.00048576275,0.00044553477],"domain_scores_gemma":[0.999367,0.00008668259,0.00008279944,0.00022999672,0.000017035418,0.00021647445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002376582,0.00017126622,0.00019340363,0.00023548343,0.00013181394,0.00010469235,0.000568162,0.000041964016,0.000011411459],"category_scores_gemma":[0.00043509778,0.00016368768,0.000039525694,0.0006945466,0.00036679962,0.00046512362,0.00018273431,0.00023781961,0.000084562205],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009482892,0.00017601137,0.00936466,0.000008672485,5.754498e-7,0.00019821465,0.0001672782,0.001171351,0.47053748,0.00044094815,0.516324,0.0015159688],"study_design_scores_gemma":[0.0026107559,0.00081838254,0.014434814,0.00006189547,0.000014680808,0.0001981772,0.00017093768,0.547975,0.05956556,0.0062398203,0.36677495,0.0011350539],"about_ca_topic_score_codex":0.000015215367,"about_ca_topic_score_gemma":0.0000018138734,"teacher_disagreement_score":0.54680365,"about_ca_system_score_codex":0.00013073058,"about_ca_system_score_gemma":0.000044316013,"threshold_uncertainty_score":0.667499},"labels":[],"label_agreement":null},{"id":"W1871916242","doi":"10.1111/j.1460-9568.2007.05432.x","title":"Cholinergic modulation incorporated with a tone presentation induces frequency‐specific threshold decreases in the auditory cortex of the mouse","year":2007,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"University of Warwick","keywords":"Basal forebrain; Neuroscience; Cholinergic; Acetylcholine; Auditory cortex; Cholinergic neuron; Forebrain; Facilitation; Neuroplasticity; Premovement neuronal activity; Psychology; Biology; Central nervous system; Endocrinology","score_opus":0.044658109384045144,"score_gpt":0.2699680882654207,"score_spread":0.22530997888137555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1871916242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99707454,0.000013822068,0.0010042913,0.000304813,0.00064579543,0.00019221248,0.0000029819803,0.00000962691,0.0007518899],"genre_scores_gemma":[0.9990297,0.00003625247,0.00007196452,0.00062977115,0.00014811853,6.10058e-7,4.402967e-7,0.000014904544,0.000068246154],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99760836,0.000571054,0.0005555495,0.00025127988,0.00081041007,0.00020331865],"domain_scores_gemma":[0.99844205,0.0002062289,0.00087385986,0.00028330658,0.00012982306,0.00006474297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014068465,0.00013169007,0.00013125199,0.00019624192,0.00018418996,0.0000867495,0.00080806436,0.0000162862,0.0000026371208],"category_scores_gemma":[0.00046171763,0.000068773894,0.00005963307,0.0013242678,0.00039552094,0.0005406617,0.000056021447,0.00036870287,0.0000014109787],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009082537,0.000118137454,0.0025984473,0.000003362128,4.862125e-7,0.00015716253,0.00019517726,0.0062400997,0.98969316,0.00029735427,0.000065988716,0.0005397989],"study_design_scores_gemma":[0.0005236319,0.00053983985,0.93089044,0.00004054923,0.0000065247314,0.00040182515,0.000116251234,0.0029701786,0.06409494,0.0001752733,0.00013405432,0.00010650316],"about_ca_topic_score_codex":0.000005622921,"about_ca_topic_score_gemma":0.0000087636045,"teacher_disagreement_score":0.928292,"about_ca_system_score_codex":0.000027382977,"about_ca_system_score_gemma":0.000066664936,"threshold_uncertainty_score":0.2804518},"labels":[],"label_agreement":null},{"id":"W1884070355","doi":"10.1111/ejn.13069","title":"Ventral striatal gamma oscillations are highly variable from trial to trial, and are dominated by behavioural state, and only weakly influenced by outcome value","year":2015,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Anticipation (artificial intelligence); Psychology; Local field potential; Outcome (game theory); Neuroscience; Resting state fMRI; Task (project management); Cognitive psychology; Physics; Developmental psychology; Computer science; Mathematics; Artificial intelligence","score_opus":0.05278868389070554,"score_gpt":0.27527938054821827,"score_spread":0.22249069665751273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1884070355","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947052,0.00003927707,0.0005572917,0.000985607,0.0026610638,0.0005039104,0.00044081183,0.000030247638,0.000076568904],"genre_scores_gemma":[0.9977926,0.00003423727,0.00018891021,0.0013046518,0.00014494776,0.0000020594275,0.0000035125443,0.000032811986,0.0004962939],"study_design_codex":"bench_or_experimental","study_design_gemma":"randomized_trial","domain_scores_codex":[0.996383,0.0008665738,0.0009006396,0.00062661886,0.0007887468,0.00043440145],"domain_scores_gemma":[0.99768984,0.00027410433,0.00092978,0.00024979762,0.00014187954,0.00071458146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010702953,0.0002805379,0.0004118394,0.00018221707,0.00031637927,0.000573975,0.00053949025,0.000036539048,0.000005194731],"category_scores_gemma":[0.0029865638,0.00023492912,0.00007235521,0.0005555113,0.00026310844,0.0009116625,0.00021822327,0.00043352295,0.000008946736],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.022101227,0.00025976513,0.0041558947,0.000004663703,0.0000037641275,0.00027758308,0.00016240378,0.00043077552,0.96704435,0.000047411097,0.0048150932,0.00069707906],"study_design_scores_gemma":[0.46155685,0.033976,0.40421703,0.00044655535,0.00034005224,0.0014251451,0.0006174425,0.007085969,0.039827257,0.00076428155,0.046721958,0.0030214342],"about_ca_topic_score_codex":0.00004075132,"about_ca_topic_score_gemma":0.0000032303274,"teacher_disagreement_score":0.92721707,"about_ca_system_score_codex":0.000066387154,"about_ca_system_score_gemma":0.0001169236,"threshold_uncertainty_score":0.9580131},"labels":[],"label_agreement":null},{"id":"W1890977971","doi":"10.1007/978-3-540-71505-4_4","title":"Towards Neurocomputational Speech and Sound Processing","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada; Université de Sherbrooke","funders":"","keywords":"Computational auditory scene analysis; Computer science; Speech recognition; Auditory scene analysis; Segmentation; Auditory system; Coding (social sciences); Artificial neural network; Pattern recognition (psychology); Artificial intelligence; Perception; Psychology; Mathematics","score_opus":0.038897626711755555,"score_gpt":0.2818878271414316,"score_spread":0.24299020042967606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1890977971","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0039049583,0.00008537949,0.9883814,0.00041115624,0.0010271909,0.00027618583,0.000006058914,0.00008183344,0.0058258665],"genre_scores_gemma":[0.9378737,0.00003233317,0.0535765,0.00708251,0.0008516216,0.0000033363904,0.0000056720323,0.000060589085,0.000513694],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99729043,0.000017190874,0.00030753238,0.0011658382,0.0008119466,0.00040704073],"domain_scores_gemma":[0.999016,0.00035561528,0.00017479852,0.00023521308,0.00010122669,0.00011718767],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038733188,0.00032872628,0.00025580885,0.0005335217,0.00030941845,0.0004266755,0.00049388676,0.0001741045,0.000018183397],"category_scores_gemma":[0.00015625528,0.0002930161,0.00005055967,0.00036646755,0.0007975007,0.00030064,0.00036285838,0.00061577046,0.0000123497],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010850281,0.000012311754,0.000023996281,0.000036901387,7.3413287e-7,0.00012279837,0.0000928039,0.008727023,0.0027059072,0.004176911,0.0000023854052,0.98408735],"study_design_scores_gemma":[0.00023427897,0.00017035655,0.00038905197,0.00014507424,0.0000067230985,0.0005705769,9.7002996e-8,0.638931,0.004506065,0.35365131,0.0008506925,0.0005448126],"about_ca_topic_score_codex":0.0000054241377,"about_ca_topic_score_gemma":0.00002251393,"teacher_disagreement_score":0.98354256,"about_ca_system_score_codex":0.00010906144,"about_ca_system_score_gemma":0.00018683518,"threshold_uncertainty_score":0.9999522},"labels":[],"label_agreement":null},{"id":"W1902667587","doi":"10.1111/j.1460-9568.2010.07276.x","title":"A neuronal substrate for a state‐dependent modulation of sensory inputs in the brainstem","year":2010,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Brainstem; Sensory system; Stimulation; Context (archaeology); Neurotransmission; Sensory stimulation therapy; Muscarinic acetylcholine receptor; Chemistry; Biology; Receptor","score_opus":0.04824536683831909,"score_gpt":0.26634970642159334,"score_spread":0.21810433958327424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1902667587","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948703,0.0000018780304,0.002202078,0.0009157721,0.0013774913,0.00022058617,0.000015692685,0.00000814354,0.00038806154],"genre_scores_gemma":[0.99810326,0.000011013241,0.00011531246,0.0015574739,0.000097310476,0.000001098941,2.1794325e-7,0.000016611828,0.000097673714],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99770343,0.00060471194,0.00059746526,0.0002776983,0.00057378784,0.00024292931],"domain_scores_gemma":[0.99861234,0.00039164023,0.00059250987,0.00022610044,0.00010391484,0.00007349316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018565399,0.000128067,0.00015417587,0.00020056282,0.00012281866,0.00010224998,0.00072310446,0.00001421824,0.0000021420085],"category_scores_gemma":[0.0012215583,0.000087325105,0.00010309988,0.00041255046,0.00021294286,0.00039961285,0.000050461604,0.00046962366,0.0000021913306],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007949051,0.0000844255,0.0002297805,0.000009181673,3.0742373e-7,0.00012559969,0.00023840599,0.0023011048,0.9941073,0.00039052978,0.000017738223,0.0024161045],"study_design_scores_gemma":[0.002004119,0.002205803,0.7053081,0.00005191379,0.000012314491,0.0018398921,0.000065808264,0.048802953,0.23588987,0.001010205,0.0024934064,0.0003156275],"about_ca_topic_score_codex":9.3697054e-7,"about_ca_topic_score_gemma":0.0000058218416,"teacher_disagreement_score":0.75821745,"about_ca_system_score_codex":0.000009280839,"about_ca_system_score_gemma":0.000059465827,"threshold_uncertainty_score":0.35610142},"labels":[],"label_agreement":null},{"id":"W1904748692","doi":"10.1111/j.1460-9568.2005.04329.x","title":"Laminar differences in field potential morphology and long‐term potentiation in motor cortex coronal slices from both unstimulated and previously potentiated rats","year":2005,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Long-term potentiation; Laminar flow; Neuroscience; Coronal plane; Laminar organization; Motor cortex; Term (time); Biology; Anatomy; Medicine; Internal medicine; Physics; Mechanics; Receptor; Stimulation","score_opus":0.02192783357461233,"score_gpt":0.23951325615181013,"score_spread":0.2175854225771978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1904748692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99779046,0.0001149927,0.0006727696,0.0006677058,0.0005444453,0.00015324699,0.000009518309,0.000014584139,0.0000323073],"genre_scores_gemma":[0.9980981,0.0005640839,0.000090873145,0.0010643104,0.0000811681,5.799827e-7,0.000001325922,0.000014401177,0.000085194864],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9977264,0.000592744,0.00057639804,0.0004714306,0.00033036617,0.00030269852],"domain_scores_gemma":[0.9991233,0.00016779134,0.00041547845,0.000121933095,0.000036534813,0.00013495982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043762088,0.00018246843,0.00025513183,0.00029851127,0.000117974974,0.00017343841,0.00033499283,0.000038407772,0.000017997552],"category_scores_gemma":[0.00035832624,0.0001543696,0.000042649248,0.00031663553,0.00020848258,0.00067095214,0.00013133785,0.00037073856,0.0000027598253],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019210562,0.00010998472,0.0409922,0.0000056587987,0.0000011748176,0.0011810175,0.00012393332,0.00021701251,0.9480876,0.000010355329,0.0000066818307,0.009072271],"study_design_scores_gemma":[0.0009542792,0.00081467204,0.9683642,0.000070176466,0.000010984982,0.00053564593,0.000010228281,0.02614034,0.0029082748,0.000033606142,0.0000150814585,0.00014254257],"about_ca_topic_score_codex":0.000017415712,"about_ca_topic_score_gemma":0.00002916266,"teacher_disagreement_score":0.94517934,"about_ca_system_score_codex":0.000023858833,"about_ca_system_score_gemma":0.00002951577,"threshold_uncertainty_score":0.629501},"labels":[],"label_agreement":null},{"id":"W1911601558","doi":"10.1007/s00221-015-4482-7","title":"High noise correlation between the functionally connected neurons in emergent V1 microcircuits","year":2015,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Université de Montréal","funders":"","keywords":"Neuroscience; Noise (video); Visual cortex; Orientation (vector space); Correlation; Biological neural network; Population; Cortical neurons; Neural ensemble; Physics; Psychology; Biology; Computer science; Artificial intelligence; Mathematics; Medicine","score_opus":0.1487437031555804,"score_gpt":0.3751665575489151,"score_spread":0.2264228543933347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1911601558","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98908,0.00007952515,0.000090245194,0.007246459,0.0008274782,0.00068423885,0.000024857769,0.000056443998,0.0019107582],"genre_scores_gemma":[0.99665296,0.0000057060656,0.000014778123,0.00088927965,0.00024154225,0.00010636845,0.000044010303,0.000028084147,0.002017283],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9966241,0.0009725213,0.0003056328,0.0005484895,0.0010371703,0.00051206147],"domain_scores_gemma":[0.99805856,0.001270656,0.000059258524,0.0003136813,0.00010772887,0.00019010737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011207587,0.00015606884,0.00014562978,0.00024189058,0.00037370832,0.00011629316,0.0003280406,0.00008221884,0.00022054491],"category_scores_gemma":[0.0013977742,0.00012274017,0.00005519308,0.0009752406,0.00025134816,0.00022846402,0.00024784557,0.0006066347,0.00039383778],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012969955,0.00018752534,0.0032903145,0.0000030921285,0.000004199191,0.000030651234,0.00058608374,0.00044517117,0.97246456,0.005136786,0.017032228,0.0006896873],"study_design_scores_gemma":[0.0038874727,0.0015659472,0.16076468,0.000040383078,0.0000060339826,0.00006220175,0.002181972,0.011443824,0.7937388,0.004247997,0.02145706,0.00060361443],"about_ca_topic_score_codex":0.0002873113,"about_ca_topic_score_gemma":0.00003012509,"teacher_disagreement_score":0.17872575,"about_ca_system_score_codex":0.00029794752,"about_ca_system_score_gemma":0.0001237712,"threshold_uncertainty_score":0.50621194},"labels":[],"label_agreement":null},{"id":"W1915615757","doi":"10.1137/140985846","title":"Nonsmooth Bifurcations of Mean Field Systems of Two-Dimensional Integrate and Fire Neurons","year":2016,"lang":"en","type":"article","venue":"SIAM Journal on Applied Dynamical Systems","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Piecewise; Mathematics; Center manifold; Bifurcation; Manifold (fluid mechanics); Slow manifold; Equilibrium point; Dynamical systems theory; Saddle point; Hopf bifurcation; Vector field; Mean field theory; Mathematical analysis; Differential equation; Physics; Nonlinear system; Geometry","score_opus":0.016635396072841577,"score_gpt":0.24386977039068572,"score_spread":0.22723437431784416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1915615757","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99348694,0.00004681186,0.0028106275,0.00060039066,0.0012394901,0.00038517502,0.00007027793,0.000030921023,0.0013293888],"genre_scores_gemma":[0.9992869,0.00003368684,0.000034189565,0.000121704965,0.0001223221,0.000015083233,0.00000153354,0.00002250163,0.0003620897],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99799865,0.00019083387,0.0007152158,0.00033593609,0.00050180574,0.00025754404],"domain_scores_gemma":[0.99788773,0.0010476408,0.000527356,0.00025603117,0.00009253804,0.00018872715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034514617,0.00019925402,0.00039978127,0.00016140804,0.0001488711,0.00005606804,0.00022591322,0.000097062984,0.000017340291],"category_scores_gemma":[0.00018803938,0.00011827586,0.00010002318,0.00024086589,0.00015537995,0.00009545331,0.000059064267,0.0002969162,0.0000139214235],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017117172,0.00014257703,0.0003010828,0.0000695067,0.000018201623,0.000012211791,0.0000292198,0.0033932368,0.8643326,0.12801814,0.00020260998,0.0033094294],"study_design_scores_gemma":[0.011487516,0.005857994,0.0067398357,0.0046387566,0.00026797256,0.0035463602,0.0005012073,0.8649477,0.08573656,0.01152304,0.0026188847,0.0021341902],"about_ca_topic_score_codex":0.00004508182,"about_ca_topic_score_gemma":0.0000053804465,"teacher_disagreement_score":0.86155444,"about_ca_system_score_codex":0.00006346749,"about_ca_system_score_gemma":0.000049904505,"threshold_uncertainty_score":0.48231494},"labels":[],"label_agreement":null},{"id":"W1918337019","doi":"10.1016/j.neuron.2015.08.021","title":"Sensory-Evoked Spiking Behavior Emerges via an Experience-Dependent Plasticity Mechanism","year":2015,"lang":"en","type":"article","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Biotechnology and Biological Sciences Research Council","keywords":"Neuroscience; Mechanism (biology); Sensory system; Psychology; Plasticity; Neuroplasticity; Communication; Physics","score_opus":0.0822636293634762,"score_gpt":0.2981352044189533,"score_spread":0.2158715750554771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1918337019","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99534196,0.000001815617,0.0012582302,0.00010817796,0.002216647,0.00025537607,0.000010800331,0.00022751532,0.00057950866],"genre_scores_gemma":[0.9983098,0.000005706337,0.00008738374,0.000618877,0.00016680289,0.000038716134,0.0000024312135,0.000034929697,0.000735341],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981043,0.00016238676,0.00021649757,0.00062706624,0.00053445256,0.00035532616],"domain_scores_gemma":[0.99926096,0.00006158341,0.000101521444,0.00027431492,0.000046085792,0.00025551952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009132767,0.00019831465,0.00015235193,0.00008574382,0.00018879703,0.00009060053,0.00026067407,0.00007366621,0.00006826824],"category_scores_gemma":[0.00025818945,0.0001836524,0.00004983716,0.00015507296,0.000057956036,0.0003955469,0.0001102163,0.0002278284,0.000087473],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043829048,0.00013219313,0.0003361344,0.0000028447796,4.7346134e-7,0.00012648504,0.00028674962,0.00015602476,0.99607265,0.0011103051,0.000030412348,0.0017019114],"study_design_scores_gemma":[0.00068586116,0.0010131217,0.0043171146,0.0000071513955,0.000024354516,0.00018407806,0.00019765996,0.040275846,0.95073795,0.001263487,0.00086207007,0.00043129336],"about_ca_topic_score_codex":0.00006449617,"about_ca_topic_score_gemma":0.000032851174,"teacher_disagreement_score":0.045334674,"about_ca_system_score_codex":0.000050236766,"about_ca_system_score_gemma":0.000021889009,"threshold_uncertainty_score":0.74891275},"labels":[],"label_agreement":null},{"id":"W1919054501","doi":"10.1111/ejn.12976","title":"Transient visual responses reset the phase of low‐frequency oscillations in the skeletomotor periphery","year":2015,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Reset (finance); Transient (computer programming); Low frequency; Phase (matter); Low-frequency oscillation; Physics; Acoustics; Audiology; Computer science; Medicine; Economics","score_opus":0.0988674124832898,"score_gpt":0.33932199796543777,"score_spread":0.240454585482148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1919054501","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99342686,0.00003411799,0.0008536167,0.002872587,0.0009793857,0.00018652058,0.000015505062,0.000008977171,0.0016224148],"genre_scores_gemma":[0.9979433,0.000041648054,0.000041717354,0.0017319679,0.00011591339,0.0000011424607,1.8957572e-7,0.000014237158,0.00010991598],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99535316,0.0025644423,0.0006320336,0.00025336267,0.00093725853,0.00025975512],"domain_scores_gemma":[0.9984634,0.00054017734,0.00043453783,0.00030230594,0.00014072924,0.00011883367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033307164,0.00013483899,0.00015857232,0.00019628419,0.0002148753,0.00012663494,0.0010847789,0.000012917747,0.000005646112],"category_scores_gemma":[0.0039261766,0.00007238752,0.00011268682,0.0010935313,0.0005627367,0.0004156126,0.00006156949,0.00040360738,0.000006568942],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020557712,0.00026389025,0.00012777864,0.000004843734,4.944208e-7,0.00042316382,0.0012743305,0.00052820885,0.9949079,0.00035049362,0.0003877566,0.0015255286],"study_design_scores_gemma":[0.0184947,0.041589096,0.5983016,0.0007749529,0.00013806066,0.014986494,0.0061273878,0.06181184,0.13086392,0.0030052504,0.1219273,0.001979392],"about_ca_topic_score_codex":0.0000027144217,"about_ca_topic_score_gemma":0.0000022126096,"teacher_disagreement_score":0.864044,"about_ca_system_score_codex":0.000030837076,"about_ca_system_score_gemma":0.00016829338,"threshold_uncertainty_score":0.4700284},"labels":[],"label_agreement":null},{"id":"W1920746203","doi":"10.1111/j.1460-9568.2012.08215.x","title":"Cortical and subcortical projections to primary visual cortex in anophthalmic, enucleated and sighted mice","year":2012,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Université du Québec à Trois-Rivières","funders":"","keywords":"Visual cortex; Neuroscience; Sensory system; Somatosensory system; Stimulus modality; Cortex (anatomy); Auditory cortex; Psychology; Sensory cortex","score_opus":0.033920328119223256,"score_gpt":0.27735207961855285,"score_spread":0.2434317514993296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1920746203","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976827,0.000026266218,0.00030175177,0.00042181148,0.0006759451,0.00015125492,0.0000027134242,0.00001929157,0.00071825256],"genre_scores_gemma":[0.99765766,0.00006755585,0.00016205067,0.0019185462,0.00009681883,7.195646e-7,1.5106374e-7,0.000020715745,0.0000758033],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99793875,0.00055924937,0.0004461059,0.00032223266,0.00034297435,0.0003906838],"domain_scores_gemma":[0.9990696,0.00022442693,0.00015253428,0.000096940916,0.00004524946,0.00041130156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006763762,0.00014656161,0.00019068964,0.00026900455,0.00018473077,0.00011426313,0.00019538509,0.000019822093,0.0000050759563],"category_scores_gemma":[0.0011911872,0.00012045437,0.000033441334,0.0006583411,0.00028000626,0.00059207954,0.00017196286,0.00040746195,0.000010618276],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009865323,0.00016521032,0.0064982935,0.0000063223606,4.570808e-7,0.00028114594,0.00015522871,0.000006874475,0.99095124,0.00014866982,0.000032674492,0.0016552258],"study_design_scores_gemma":[0.00041853797,0.0010635615,0.9852627,0.00002888121,0.00000936505,0.0032865738,0.00003087622,0.0018074444,0.007044884,0.000008951137,0.0008853679,0.00015286649],"about_ca_topic_score_codex":0.0000014348329,"about_ca_topic_score_gemma":4.5328994e-7,"teacher_disagreement_score":0.9839064,"about_ca_system_score_codex":0.000031837626,"about_ca_system_score_gemma":0.000032188393,"threshold_uncertainty_score":0.4911987},"labels":[],"label_agreement":null},{"id":"W1927412164","doi":"10.1111/ejn.13003","title":"Local field potentials are local events in the mouse auditory cortex","year":2015,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Alberta Innovates","keywords":"Local field potential; Neuroscience; Auditory cortex; Thalamus; Disinhibition; Cortical neurons; Cortex (anatomy); Receptive field; Cerebral cortex; Biology; Psychology","score_opus":0.047935627056352285,"score_gpt":0.26264895505082975,"score_spread":0.21471332799447745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1927412164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9610677,0.000018767743,0.03202952,0.0023040657,0.0032173456,0.0001289831,0.0000035178261,0.000018899013,0.0012112128],"genre_scores_gemma":[0.9916499,0.000028587703,0.000018798506,0.0077437754,0.00023292207,5.3680543e-7,1.2822002e-7,0.00001643326,0.00030887878],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99665713,0.0013208301,0.0004959057,0.0003086771,0.0009110566,0.00030639267],"domain_scores_gemma":[0.9987675,0.000217157,0.00046922578,0.00027060419,0.00008677544,0.00018874627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017770249,0.00014932078,0.0001739104,0.00015496268,0.00013864458,0.00007942164,0.0011414612,0.000020385238,0.000005749621],"category_scores_gemma":[0.0016976775,0.00009784279,0.000098345765,0.00050262763,0.00026556794,0.00044810533,0.00013509911,0.0005257396,0.000044141092],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021062682,0.0003368404,0.00064783153,0.000008988261,0.000001096398,0.0037198719,0.00037305857,0.006507326,0.9709128,0.00020466323,0.008913246,0.008163647],"study_design_scores_gemma":[0.007242371,0.013840919,0.7091656,0.00037092256,0.00006963657,0.013147479,0.0034175392,0.050825447,0.095116,0.0018886292,0.10325206,0.0016634123],"about_ca_topic_score_codex":0.0000033500714,"about_ca_topic_score_gemma":0.0000031580971,"teacher_disagreement_score":0.8757968,"about_ca_system_score_codex":0.000043638138,"about_ca_system_score_gemma":0.00007292876,"threshold_uncertainty_score":0.39899135},"labels":[],"label_agreement":null},{"id":"W1927501767","doi":"10.1152/jn.2001.86.1.1","title":"Impact of Network Activities on Neuronal Properties in Corticothalamic Systems","year":2001,"lang":"en","type":"review","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":540,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Institute of Neurological Disorders and Stroke","keywords":"Neuroscience; Neocortex; Thalamus; Bursting; Depolarization; Electrophysiology; Nerve net; Premovement neuronal activity; Forebrain; Biological neural network; Memory consolidation; Biology; Central nervous system; Biophysics; Hippocampus","score_opus":0.08451321624798411,"score_gpt":0.3199659038262163,"score_spread":0.2354526875782322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1927501767","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7759675,0.21959558,0.0000025254617,0.0000106516445,0.003752355,0.0005038572,0.000024085493,0.000013701025,0.00012978692],"genre_scores_gemma":[0.19029938,0.80894727,0.000001150383,0.000046073255,0.00053804583,0.0000064664528,0.0000013212795,0.000049049875,0.0001112558],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965916,0.0010961874,0.001261368,0.00034584635,0.00031152734,0.0003934378],"domain_scores_gemma":[0.9969206,0.000797678,0.0018815519,0.0002715537,0.000055456563,0.000073200514],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007595206,0.00040787956,0.002103423,0.00046583693,0.000046644625,0.00003279799,0.00046120034,0.0001622902,0.00001015311],"category_scores_gemma":[0.00032805558,0.00024864735,0.0008144327,0.00061731617,0.00016688246,0.00014137817,0.00008129389,0.0010533151,0.000007461859],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001995654,0.002066962,0.000078597186,0.011709697,0.00030636584,0.003132454,0.00006145064,0.18409798,0.20270388,0.0006559065,0.00044784395,0.5927432],"study_design_scores_gemma":[0.007229096,0.13180032,0.046560146,0.12223371,0.002978605,0.047565717,0.000052485884,0.023390304,0.00052754226,0.0014332772,0.60966593,0.0065628826],"about_ca_topic_score_codex":0.000011184328,"about_ca_topic_score_gemma":3.7108762e-7,"teacher_disagreement_score":0.60921806,"about_ca_system_score_codex":0.000130717,"about_ca_system_score_gemma":0.0002715954,"threshold_uncertainty_score":0.9999966},"labels":[],"label_agreement":null},{"id":"W1935620760","doi":"10.1152/jn.00426.2001","title":"Properties of Primary Sensory (Lemniscal) Synapses in the Ventrobasal Thalamus and the Relay of High-Frequency Sensory Inputs","year":2002,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":154,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Medial lemniscus; Thalamus; Neuroscience; Excitatory postsynaptic potential; Sensory system; Postsynaptic potential; Acetylcholine; Neocortex; Neurotransmission; Inhibitory postsynaptic potential; Somatosensory system; Depolarization; Chemistry; Biology; Biophysics; Endocrinology","score_opus":0.035839863815137124,"score_gpt":0.21520531900927936,"score_spread":0.17936545519414224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1935620760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964246,0.00017867898,0.0000035211922,0.002709787,0.00037762546,0.00014905997,0.0000047133235,0.000003771265,0.00014823255],"genre_scores_gemma":[0.99747574,0.0009031996,0.00002354871,0.0014325973,0.00009495027,0.000001932072,1.3524459e-7,0.000010461648,0.000057405927],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978581,0.0010143033,0.0005494127,0.0001650395,0.00024687752,0.00016627893],"domain_scores_gemma":[0.9984128,0.0007171058,0.0005597939,0.000215877,0.00006959545,0.00002483488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001714948,0.00012413379,0.0003972451,0.00011155734,0.00006689435,0.0000111375375,0.0003077964,0.000054136053,0.000006874159],"category_scores_gemma":[0.0005868489,0.0000594224,0.00011153555,0.00017651277,0.000732474,0.0001190114,0.000068689435,0.00042035428,0.0000016248263],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003661475,0.00011969881,0.0000988872,0.000046833844,0.0000074885793,0.000115272334,0.00031452157,0.0007056736,0.9965401,0.0012300898,0.000018184746,0.00043706034],"study_design_scores_gemma":[0.013954304,0.009832954,0.43789148,0.00056783034,0.00032473574,0.010077159,0.0004971041,0.012979697,0.49611354,0.016406836,0.00049852557,0.0008558472],"about_ca_topic_score_codex":0.00001376549,"about_ca_topic_score_gemma":0.0000010495488,"teacher_disagreement_score":0.5004266,"about_ca_system_score_codex":0.000012699104,"about_ca_system_score_gemma":0.000019448531,"threshold_uncertainty_score":0.2698831},"labels":[],"label_agreement":null},{"id":"W1938085651","doi":"10.12688/f1000research.5977.2","title":"Finding indexes of spontaneous brain-to-brain communications when looking for a cause of the similarity of qualia assumed across individuals","year":2015,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Qualia; N400; Psychology; Subliminal stimuli; Stimulus (psychology); Consciousness; Perception; P600; Cognition; Cognitive psychology; Event-related potential; Neuroscience","score_opus":0.25048894922741277,"score_gpt":0.44884228910741436,"score_spread":0.1983533398800016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1938085651","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98337835,0.000048174927,0.0004099936,0.008651932,0.00044836412,0.0027052027,0.00410161,0.00003161496,0.00022476199],"genre_scores_gemma":[0.9972352,0.000024653613,0.0006460457,0.00036001264,0.000050390445,0.00017304653,0.00006522454,0.000052825042,0.0013926357],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99531347,0.0012850625,0.0008734808,0.00058878306,0.001387887,0.00055130967],"domain_scores_gemma":[0.989634,0.00648237,0.00073841383,0.0023234962,0.00066987006,0.0001518561],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004695597,0.00025916577,0.00062060327,0.00031279156,0.00030658423,0.000096640935,0.0034389526,0.00032975682,0.000022395789],"category_scores_gemma":[0.017074399,0.00021330695,0.00026429293,0.0005900849,0.00075892935,0.00009085043,0.006196072,0.0010899251,0.0000026270682],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066021143,0.0009011619,0.021325897,0.002443903,0.00022167216,0.000026184834,0.018722508,0.0032189847,0.9168409,0.011153071,0.020727154,0.003758361],"study_design_scores_gemma":[0.0049177273,0.002212932,0.069761045,0.0043819053,0.0002827413,0.00015913273,0.0025011913,0.055591043,0.69091046,0.1444973,0.022604857,0.0021796846],"about_ca_topic_score_codex":0.0006443238,"about_ca_topic_score_gemma":0.00073303643,"teacher_disagreement_score":0.22593045,"about_ca_system_score_codex":0.00017009888,"about_ca_system_score_gemma":0.0005888709,"threshold_uncertainty_score":0.9912052},"labels":[],"label_agreement":null},{"id":"W1940126757","doi":"10.1111/j.1460-9568.2012.08201.x","title":"Consistent sequential activity across diverse forms of UP states under ketamine anesthesia","year":2012,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Heritage Foundation for Medical Research","keywords":"Neocortex; Ketamine; Local field potential; Neuroscience; Modulation (music); Premovement neuronal activity; Biology; Physics","score_opus":0.07818514668367359,"score_gpt":0.2964308346489064,"score_spread":0.2182456879652328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1940126757","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957636,0.000015665368,0.0019306323,0.00040303986,0.001505912,0.00008889532,0.0000119045935,0.000017876104,0.00026247886],"genre_scores_gemma":[0.9984046,0.000076011595,0.00003949629,0.001032869,0.000111900146,2.6787183e-7,2.7878497e-7,0.00002148935,0.00031306726],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976632,0.0005112975,0.00045496167,0.00025013465,0.00064684916,0.0004735749],"domain_scores_gemma":[0.998507,0.00015724062,0.00074250385,0.00023308012,0.00011007977,0.00025005447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011490047,0.00017590969,0.00023848141,0.000105021536,0.00023917896,0.000091918715,0.000526411,0.000017402552,0.000013389634],"category_scores_gemma":[0.0003966245,0.0001294506,0.00016749317,0.00039782908,0.00054041005,0.0011248906,0.00016853613,0.00027931473,0.000015158909],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000113757385,0.00018283112,0.0008602949,0.000011337357,0.0000017249129,0.0001885537,0.00026681696,0.00043490867,0.9950112,0.00030651162,0.00007283047,0.002549221],"study_design_scores_gemma":[0.0015675997,0.0018815344,0.44396633,0.00006838468,0.00004252322,0.0053146915,0.00036910243,0.0023509264,0.538044,0.00014095765,0.0058212643,0.00043275332],"about_ca_topic_score_codex":0.000001939577,"about_ca_topic_score_gemma":5.1455436e-7,"teacher_disagreement_score":0.45696726,"about_ca_system_score_codex":0.0000367317,"about_ca_system_score_gemma":0.00003796932,"threshold_uncertainty_score":0.5278842},"labels":[],"label_agreement":null},{"id":"W1941769416","doi":"10.1016/j.neuron.2015.09.031","title":"During Running in Place, Grid Cells Integrate Elapsed Time and Distance Run","year":2015,"lang":"en","type":"article","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":319,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"National Institute of Mental Health; Ministerio de Economía y Competitividad","keywords":"Grid; Grid cell; Computer science; Sensory system; Path integration; ENCODE; Neuroscience; Artificial intelligence; Biology; Mathematics","score_opus":0.016690144378144246,"score_gpt":0.21819098084358662,"score_spread":0.20150083646544237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1941769416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99725145,0.000014572271,0.000011854323,0.00023170347,0.0006226675,0.0001238106,0.00000850771,0.00006234595,0.0016731126],"genre_scores_gemma":[0.99731565,0.000024143346,0.000020937588,0.00030893018,0.00006592202,0.000004570222,0.0000018740961,0.00001798809,0.0022399658],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990592,0.00006227035,0.00014391208,0.00035885675,0.00015708817,0.00021869238],"domain_scores_gemma":[0.9996372,0.00006801278,0.000054638007,0.00013971193,0.00001116978,0.00008929922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009878812,0.000118136864,0.00011612512,0.00007598403,0.00006198501,0.00006440602,0.00010262745,0.000034601682,0.000008620222],"category_scores_gemma":[0.000118871045,0.000106529464,0.00001798242,0.000203471,0.00004660545,0.0002013286,0.00006527175,0.00020789329,0.00005948569],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001068076,0.000023064405,0.00087127765,0.000009706829,2.935795e-7,0.000078599856,0.00009762151,0.00058790005,0.9974869,0.00010188264,0.00028800662,0.00034792378],"study_design_scores_gemma":[0.0035806794,0.000580224,0.040582243,0.00013749917,0.000010781636,0.000117832366,0.00006437165,0.15840471,0.78062546,0.00064004195,0.014511407,0.0007447563],"about_ca_topic_score_codex":0.000016951228,"about_ca_topic_score_gemma":0.000017658536,"teacher_disagreement_score":0.21686146,"about_ca_system_score_codex":0.000038363552,"about_ca_system_score_gemma":0.000014021047,"threshold_uncertainty_score":0.43441454},"labels":[],"label_agreement":null},{"id":"W1941984037","doi":"10.1111/j.1469-8986.2010.01025.x","title":"The role of temporal predictability in the anticipatory biasing of sensory cortex during visuospatial shifts of attention","year":2010,"lang":"en","type":"article","venue":"Psychophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Psychology; Neuroscience; Anticipation (artificial intelligence); Cognitive psychology; Stimulus (psychology); Sensory system; Electroencephalography; Alpha (finance); Developmental psychology","score_opus":0.016376449037942286,"score_gpt":0.27732987206543175,"score_spread":0.2609534230274895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1941984037","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989463,0.000007533383,0.0000053901454,0.00007499495,0.0006182162,0.00019416444,0.000014124162,0.000007010737,0.00013225358],"genre_scores_gemma":[0.99988073,0.00001026304,0.000011556504,0.000027125318,0.000051157826,0.0000065683034,0.0000016617245,0.0000056600416,0.000005278995],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988867,0.00027152398,0.00034708582,0.00020461353,0.00014605894,0.00014401544],"domain_scores_gemma":[0.9989799,0.00037353678,0.00027562815,0.00031994554,0.000036688936,0.000014250495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028536675,0.00007463553,0.00015805128,0.00004807399,0.00007380661,0.0000038844328,0.00021862809,0.00006332297,0.000006112981],"category_scores_gemma":[0.00023134255,0.000045899284,0.00007269846,0.00016786752,0.00041551216,0.000051506406,0.00003586992,0.00021240998,9.005549e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020186037,0.00012419913,0.0388093,0.000023335439,0.000002091802,4.0847698e-7,0.0001578033,0.000011892068,0.95957446,0.00025106285,0.0000011405599,0.0008424193],"study_design_scores_gemma":[0.00024484552,0.00014012093,0.79349583,0.000008790379,0.0000043477494,0.0000021529688,0.00011552242,0.00239826,0.2011708,0.0023719931,0.000008591795,0.000038726204],"about_ca_topic_score_codex":0.00010501366,"about_ca_topic_score_gemma":0.00008728163,"teacher_disagreement_score":0.75840366,"about_ca_system_score_codex":0.0000044989047,"about_ca_system_score_gemma":0.000014822767,"threshold_uncertainty_score":0.18717185},"labels":[],"label_agreement":null},{"id":"W1942097558","doi":"10.1111/j.1460-9568.2011.07935.x","title":"Interference in dichotic listening: the effect of contralateral noise on oscillatory brain networks","year":2011,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Heart and Stroke Foundation of Canada","keywords":"Dichotic listening; Stimulus (psychology); Psychology; Sensory system; Magnetoencephalography; Perception; Neuroscience; Audiology; Electrophysiology; Auditory system; Communication; Physics; Electroencephalography; Cognitive psychology; Medicine","score_opus":0.030317393713665857,"score_gpt":0.23662026320650353,"score_spread":0.2063028694928377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1942097558","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99478555,0.00001556046,0.0007317984,0.0002458385,0.001692131,0.00015268,0.0000015745638,0.000012574141,0.0023623034],"genre_scores_gemma":[0.99828404,0.000020592683,0.000009467221,0.0014726672,0.00007052785,6.5607145e-7,5.040603e-8,0.000019810741,0.00012220176],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99672884,0.0016665334,0.0006005958,0.00031867038,0.00036547784,0.00031986143],"domain_scores_gemma":[0.99828523,0.00070725376,0.0005599793,0.0002887512,0.000039795235,0.0001189814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017719724,0.0001868434,0.00026034878,0.00019609056,0.000115278104,0.00006293925,0.0009938867,0.000018993675,0.000009190952],"category_scores_gemma":[0.0017804272,0.00010942416,0.0001338681,0.000525126,0.0004552084,0.00029192644,0.000121271194,0.0005889121,0.0000062642753],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072631217,0.00008050311,0.006339931,0.000012196849,0.0000014381425,0.0007532126,0.000515087,0.003247423,0.9841812,0.000319357,0.00011299876,0.0037103235],"study_design_scores_gemma":[0.0024302183,0.015154355,0.8406851,0.00048156796,0.000025363945,0.0010295981,0.000029502204,0.039737776,0.09938778,0.00009731256,0.00053508754,0.00040627577],"about_ca_topic_score_codex":0.0000023515352,"about_ca_topic_score_gemma":9.929163e-7,"teacher_disagreement_score":0.88479346,"about_ca_system_score_codex":0.00002587961,"about_ca_system_score_gemma":0.000023160126,"threshold_uncertainty_score":0.44621876},"labels":[],"label_agreement":null},{"id":"W1947864755","doi":"10.1152/jn.00058.2015","title":"Dynamics of the functional link between area MT LFPs and motion detection","year":2015,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Local field potential; Stimulus (psychology); Perception; Correlation; Neuroscience; Sensory system; Dynamics (music); Artificial intelligence; Computer science; Psychology; Pattern recognition (psychology); Mathematics; Cognitive psychology","score_opus":0.04882906162214714,"score_gpt":0.2428765997015307,"score_spread":0.19404753807938355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1947864755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99422216,0.0000040634004,0.0023378537,0.0018724389,0.001427364,0.000059065653,0.000006652203,0.0000064667247,0.00006394964],"genre_scores_gemma":[0.99922174,0.000021908989,0.000016285445,0.00023388753,0.00042852867,5.1193155e-7,8.1705133e-7,0.000008956919,0.00006739071],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99902296,0.00021337553,0.00030700665,0.00013899204,0.00021250287,0.00010518764],"domain_scores_gemma":[0.9990392,0.00019951108,0.00042926974,0.000117479154,0.00014898922,0.00006557368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008092743,0.0000863378,0.00017923072,0.000090473,0.00007484748,0.0000118113585,0.00013051784,0.00006275898,0.0000036119136],"category_scores_gemma":[0.0005670959,0.00005574511,0.00008558722,0.00019260666,0.00013671734,0.00013722599,0.00007025837,0.00030357263,0.0000019278195],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013277514,0.000020491814,0.0008931989,0.00000694044,0.000005373958,0.0000054181787,0.000016438551,0.0020832766,0.9827015,0.00029490405,0.00001846545,0.013821233],"study_design_scores_gemma":[0.0016606309,0.0033500814,0.8074499,0.000034697037,0.00010050648,0.0010501494,0.00004916812,0.07594494,0.076111026,0.03300092,0.0010170293,0.00023097474],"about_ca_topic_score_codex":0.0000034485015,"about_ca_topic_score_gemma":0.0000018937636,"teacher_disagreement_score":0.90659046,"about_ca_system_score_codex":0.000038061196,"about_ca_system_score_gemma":0.000033264896,"threshold_uncertainty_score":0.22732195},"labels":[],"label_agreement":null},{"id":"W1948837642","doi":"10.1155/2015/915606","title":"Modeling the Generation of Phase-Amplitude Coupling in Cortical Circuits: From Detailed Networks to Neural Mass Models","year":2015,"lang":"en","type":"review","venue":"BioMed Research International","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Oscillation (cell signaling); Coupling (piping); Amplitude; Physics; Alpha (finance); BETA (programming language); Neuroscience; Biological neural network; Computer science; Statistical physics; Mathematics; Biology; Quantum mechanics; Statistics","score_opus":0.4624784544787925,"score_gpt":0.466506207970377,"score_spread":0.004027753491584518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1948837642","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036326803,0.6373001,0.3073695,0.0013748177,0.010014794,0.005713289,0.0013177103,0.00011935915,0.0004636406],"genre_scores_gemma":[0.2918683,0.7041209,0.00020266025,0.00014240113,0.00212524,0.00050585764,0.0007863936,0.00009079722,0.00015749723],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9957345,0.00056381465,0.0008749217,0.00072395755,0.0016257267,0.00047707531],"domain_scores_gemma":[0.9979276,0.0009311968,0.0001522475,0.00038098788,0.00042843897,0.00017950949],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020294986,0.00024955877,0.0005834248,0.0006815437,0.00014508505,0.0002691754,0.0010908905,0.000216175,0.000038633083],"category_scores_gemma":[0.0011439841,0.00017405466,0.00017770378,0.0009758309,0.00013823676,0.0002093172,0.0003172415,0.0010265856,0.000019142046],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010091621,0.0003456929,0.000005007882,0.00024617027,0.00007428558,0.00004920855,0.00008345718,0.6610852,0.01726268,0.0036197607,0.00053819374,0.31658942],"study_design_scores_gemma":[0.00035970943,0.00007605394,5.562281e-7,0.00055437867,0.000019067606,0.0000050547887,0.000010843883,0.98104817,0.000026653619,0.00065379805,0.017090145,0.00015559453],"about_ca_topic_score_codex":0.00011544642,"about_ca_topic_score_gemma":0.000041637108,"teacher_disagreement_score":0.31996295,"about_ca_system_score_codex":0.00047486604,"about_ca_system_score_gemma":0.00028262223,"threshold_uncertainty_score":0.7097743},"labels":[],"label_agreement":null},{"id":"W1950565861","doi":"10.1371/journal.pbio.1002231","title":"Neocortical Rebound Depolarization Enhances Visual Perception","year":2015,"lang":"en","type":"article","venue":"PLoS Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Visual cortex; Neuroscience; Stimulus (psychology); Photic Stimulation; Visual N1; Stimulation; Visual perception; Surround suppression; Calcium imaging; Biology; P200; Sensory system; Perception; Psychology; Medicine; Cognitive psychology","score_opus":0.06481734888464931,"score_gpt":0.31147915136606724,"score_spread":0.24666180248141795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1950565861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932158,0.000006479588,0.003952412,0.0004418941,0.0005278025,0.00011294862,0.0000032398125,0.00008266661,0.0016567628],"genre_scores_gemma":[0.9986093,0.000014447605,0.00012277447,0.0008110968,0.00019736782,0.000010376077,0.00001998852,0.000007464176,0.00020718742],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991864,0.00014177042,0.0001314254,0.00027999532,0.00008992742,0.00017047323],"domain_scores_gemma":[0.99968576,0.00008024558,0.000045684443,0.00008465616,0.00003150781,0.000072154224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007393357,0.00007480665,0.00008975858,0.00004783389,0.00007495272,0.00002953723,0.00007951207,0.00009000075,0.00004917412],"category_scores_gemma":[0.00047442553,0.000060406444,0.000022711123,0.00011494501,0.00010671762,0.00011525493,0.000039894443,0.00009475678,0.00021918725],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033638575,0.000060927177,0.002414044,0.0000021268136,0.0000012686316,0.0000019062342,0.000041611187,0.0000030545477,0.98984253,0.0034668436,0.000052040417,0.0040799957],"study_design_scores_gemma":[0.001191156,0.0028679746,0.019676419,0.000018434113,0.000044189743,0.00011416359,0.00017446453,0.117058694,0.8143673,0.0351214,0.008731438,0.0006343792],"about_ca_topic_score_codex":0.000015189721,"about_ca_topic_score_gemma":0.000010532708,"teacher_disagreement_score":0.17547525,"about_ca_system_score_codex":0.000032994645,"about_ca_system_score_gemma":0.000025403311,"threshold_uncertainty_score":0.28172818},"labels":[],"label_agreement":null},{"id":"W1954512452","doi":"10.1007/s11229-015-0934-7","title":"Convolution and modal representations in Thagard and Stewart’s neural theory of creativity: a critical analysis","year":2015,"lang":"en","type":"article","venue":"Synthese","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Fonds de Recherche du Québec-Société et Culture","keywords":"Creativity; Mathematics; Modal; Representation (politics); Algebra over a field; Artificial intelligence; Computer science; Pure mathematics; Psychology","score_opus":0.0713092999493966,"score_gpt":0.3200630857436521,"score_spread":0.2487537857942555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1954512452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971608,0.00003573013,0.0009966366,0.0006162626,0.000053248976,0.00009061277,0.00001922128,0.000014394698,0.0010131113],"genre_scores_gemma":[0.9997114,0.000012013112,0.000056271634,0.000063219006,0.0000107410315,0.000007891726,0.000001213301,0.0000043828313,0.0001328532],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990726,0.00030679227,0.00013578008,0.00023808668,0.0001378381,0.00010887023],"domain_scores_gemma":[0.99872506,0.0010091796,0.00003549284,0.00012907473,0.000029536295,0.000071654795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031830295,0.00006463076,0.00015087651,0.00016757588,0.00003508136,0.00002563023,0.000040367282,0.00003166459,0.000009941279],"category_scores_gemma":[0.0027055196,0.000055089095,0.000030329753,0.00031987097,0.00025760825,0.00018302459,0.000051143095,0.000070461836,0.0000010406394],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009978841,0.0005971703,0.42613816,0.00010485521,0.00009157604,0.00011331091,0.0045709936,0.0019102407,0.31611922,0.22042662,0.000079284466,0.02885069],"study_design_scores_gemma":[0.0009999883,0.00037016335,0.40009186,0.000037680486,0.00034316786,0.00006642361,0.0027061931,0.48948246,0.02856585,0.076946035,0.00004485821,0.0003453393],"about_ca_topic_score_codex":0.00012719359,"about_ca_topic_score_gemma":0.00010309528,"teacher_disagreement_score":0.48757222,"about_ca_system_score_codex":0.000012548389,"about_ca_system_score_gemma":0.000013624387,"threshold_uncertainty_score":0.3238955},"labels":[],"label_agreement":null},{"id":"W1956824001","doi":"10.1016/j.neuroimage.2015.05.081","title":"Complementary roles of cortical oscillations in automatic and controlled processing during rapid serial tasks","year":2015,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children; University of Waterloo; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Neuroscience; Psychology","score_opus":0.04208620097804507,"score_gpt":0.28221800995891305,"score_spread":0.24013180898086797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1956824001","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99847794,0.000016482947,0.00006043721,0.00039557123,0.00012563964,0.0003218509,0.000013529453,0.00004319965,0.00054537965],"genre_scores_gemma":[0.9996081,0.0000058262717,0.000121111596,0.00018224068,0.00003451426,0.000008978508,0.0000021774285,0.000010530592,0.000026523301],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989298,0.00016241208,0.0003058876,0.00023750513,0.00020116726,0.00016325164],"domain_scores_gemma":[0.9995599,0.0001565508,0.00010045461,0.00008771482,0.000025313095,0.000070089074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015982991,0.00009393998,0.00021625668,0.000099711746,0.00008319263,0.000047866335,0.00007267346,0.000021815262,0.00001997718],"category_scores_gemma":[0.00049411395,0.000082794024,0.000026560723,0.00017213332,0.0000990565,0.00019772092,0.000067051,0.00011674679,0.000002308987],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002490503,0.0000732713,0.0021713537,0.00004255826,0.0000012703183,0.00002890889,0.00021284093,0.00015278124,0.9949866,0.00027408378,0.000024632758,0.0017826654],"study_design_scores_gemma":[0.020529898,0.0005883393,0.22681825,0.00009531148,0.000045826862,0.00014513617,0.0003111851,0.69304615,0.056061678,0.0018380854,0.00014159299,0.0003785363],"about_ca_topic_score_codex":0.000009640119,"about_ca_topic_score_gemma":0.000026802532,"teacher_disagreement_score":0.9389249,"about_ca_system_score_codex":0.000017721655,"about_ca_system_score_gemma":0.000031765503,"threshold_uncertainty_score":0.33762422},"labels":[],"label_agreement":null},{"id":"W1957308598","doi":"10.1017/s0140525x01350112","title":"Real action in a virtual world","year":2001,"lang":"en","type":"article","venue":"Behavioral and Brain Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Qualia; Vision for perception and vision for action; Action (physics); Neuroscience; Perception; Cognitive science; Dorsum; Computer science; Psychology; Cognitive psychology; Communication; Visual perception; Consciousness; Biology; Anatomy; Physics","score_opus":0.12582898148765198,"score_gpt":0.3598261238396548,"score_spread":0.2339971423520028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1957308598","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99516845,0.0000053437752,0.000012851362,0.0018989152,0.0002966195,0.00009550668,0.0000021729977,0.000041627194,0.0024784966],"genre_scores_gemma":[0.9964718,0.00007086822,0.00003215305,0.00050593185,0.00004795431,0.000008271284,6.67982e-7,0.000003478807,0.0028588658],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989676,0.0000617364,0.00013331775,0.00037292865,0.00023287113,0.0002315857],"domain_scores_gemma":[0.9997229,0.00010541731,0.00004120889,0.000064973436,0.0000070331002,0.00005848116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026103028,0.00008643179,0.00008551835,0.00020046074,0.00022984506,0.00011930621,0.00012905175,0.000028096341,0.000054079952],"category_scores_gemma":[0.000043889766,0.00006624086,0.000022576589,0.00089531933,0.00029862663,0.00043549857,0.00004887029,0.00009785772,0.000011418658],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048230453,0.00016788511,0.060270254,0.0000020672974,1.8478524e-7,0.000066204695,0.00016227558,0.000043822067,0.7692347,0.0088056205,0.00032432892,0.16087438],"study_design_scores_gemma":[0.0023149424,0.0034409962,0.8617672,0.000110097215,0.00001907311,0.0005339165,0.0017155763,0.027477367,0.060377672,0.011678027,0.029152395,0.0014127542],"about_ca_topic_score_codex":0.0003614047,"about_ca_topic_score_gemma":0.0015121473,"teacher_disagreement_score":0.8014969,"about_ca_system_score_codex":0.000020457557,"about_ca_system_score_gemma":0.000021155143,"threshold_uncertainty_score":0.27012238},"labels":[],"label_agreement":null},{"id":"W1958381348","doi":"10.1523/jneurosci.20-02-00626.2000","title":"Switching Off and On of Synaptic Sites at<i>Aplysia</i>Sensorimotor Synapses","year":2000,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Montreal Clinical Research Institute","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Neuroscience; Synaptic fatigue; Neural facilitation; Synaptic plasticity; Aplysia; Synaptic augmentation; Long-term potentiation; Metaplasticity; Nonsynaptic plasticity; Facilitation; Synaptic pharmacology; Homosynaptic plasticity; Synaptic scaling; Synapse; Neurotransmission; Post-tetanic potentiation; Tetanic stimulation; Chemistry; Biology; Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Receptor","score_opus":0.02647552079388925,"score_gpt":0.25503970930963077,"score_spread":0.2285641885157415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1958381348","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983968,0.000045956633,0.00002282191,0.0005068245,0.00041689252,0.00007955114,0.0000052496584,0.000012696431,0.00051321846],"genre_scores_gemma":[0.99756527,0.0004396347,0.000051143237,0.0014914905,0.000063324245,5.6335887e-7,5.6433336e-8,0.00001066831,0.00037784412],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983955,0.0001131795,0.00042282432,0.000297747,0.0005413235,0.00022943296],"domain_scores_gemma":[0.99882555,0.0004420318,0.00037954852,0.00017421125,0.000048252634,0.00013040868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026292898,0.0001381137,0.00024286321,0.00017028979,0.0002012578,0.00006083491,0.00030626133,0.000034979956,0.000039710274],"category_scores_gemma":[0.00094646454,0.00010319637,0.00009172302,0.0003742588,0.0002045213,0.00036698524,0.000053168278,0.00023316436,0.000008181832],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011945651,0.000076470445,0.00086138636,0.000010756554,9.5217973e-7,0.00009278445,0.00004481043,0.000544485,0.992527,0.00016328877,0.000059153183,0.0054994626],"study_design_scores_gemma":[0.0013977889,0.0062845224,0.12868121,0.00025566295,0.00006942755,0.004985757,0.000037852224,0.044846565,0.80486876,0.0011577075,0.006842831,0.000571932],"about_ca_topic_score_codex":0.0000017513256,"about_ca_topic_score_gemma":0.0000010756446,"teacher_disagreement_score":0.18765825,"about_ca_system_score_codex":0.000029782517,"about_ca_system_score_gemma":0.000029325718,"threshold_uncertainty_score":0.42082256},"labels":[],"label_agreement":null},{"id":"W1963775900","doi":"10.1080/00207450500535784","title":"A THEORY OF NEUROPHYSICS AND QUANTUM NEUROSCIENCE: IMPLICATIONS FOR BRAIN FUNCTION AND THE LIMITS OF CONSCIOUSNESS","year":2007,"lang":"en","type":"review","venue":"International Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Consciousness; Neuroscience; Psychology; Brain function; Cognitive science","score_opus":0.11083277052805096,"score_gpt":0.3786036555120243,"score_spread":0.26777088498397333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1963775900","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.081408836,0.72857314,0.13533372,0.011193056,0.034610845,0.006747028,0.0016226089,0.00009580206,0.00041495948],"genre_scores_gemma":[0.19888832,0.79897743,0.00004397229,0.0017387542,0.00020900376,0.000018055794,0.0000016921032,0.000033642777,0.000089134846],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99729675,0.00037554256,0.0010524002,0.00044406208,0.00062540494,0.0002058531],"domain_scores_gemma":[0.9928244,0.0042554415,0.002130015,0.00023542772,0.00046345268,0.000091300986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014314614,0.00024533618,0.000721313,0.00043911728,0.00019507487,0.00011814333,0.001052825,0.000078773926,5.9501036e-7],"category_scores_gemma":[0.0045652003,0.00015584005,0.00032016318,0.0006038002,0.0018518874,0.00036193,0.00018221073,0.00035497503,1.6635464e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043002053,0.00017415572,0.000026974692,0.0007554026,0.000013946431,0.000012281226,0.00007910728,0.000026924301,0.12867062,0.29293916,0.00006296285,0.57680845],"study_design_scores_gemma":[0.008955297,0.0062592034,0.013209157,0.007096802,0.0018816169,0.01350618,0.00014534123,0.010563009,0.0030230002,0.25316918,0.6803399,0.0018513585],"about_ca_topic_score_codex":0.0000016096756,"about_ca_topic_score_gemma":5.3951464e-7,"teacher_disagreement_score":0.6802769,"about_ca_system_score_codex":0.000023207476,"about_ca_system_score_gemma":0.00022438218,"threshold_uncertainty_score":0.6823356},"labels":[],"label_agreement":null},{"id":"W1963881731","doi":"10.1016/j.visres.2012.12.004","title":"Size averaging of irrelevant stimuli cannot be prevented","year":2012,"lang":"en","type":"article","venue":"Vision Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":72,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Psychology; Neuroscience; Physics; Cognitive psychology","score_opus":0.16310317663449103,"score_gpt":0.43691973492235014,"score_spread":0.2738165582878591,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1963881731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99464285,0.000043790897,0.00016141476,0.0014566878,0.000353628,0.00027847648,0.000012005557,0.00003110896,0.0030200144],"genre_scores_gemma":[0.99628013,0.00005272465,0.00009000971,0.00019258873,0.00007255213,0.000009629299,0.0000016801339,0.000014350616,0.0032863158],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977573,0.00038958516,0.00019289913,0.00025208748,0.0009136756,0.0004944491],"domain_scores_gemma":[0.9979868,0.0014233363,0.000046784426,0.000278821,0.00011647708,0.00014778027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012062686,0.000078567624,0.00011259335,0.00016518695,0.00019562549,0.00003462195,0.00022880048,0.000045757355,0.0003906787],"category_scores_gemma":[0.0024357897,0.000062226405,0.000047409983,0.0006306692,0.0001274852,0.00020838225,0.00022641911,0.00032833486,0.00008129799],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065406384,0.00017882827,0.0008583227,0.000030065641,0.0000016483235,0.0000054603147,0.00015445295,0.000047036694,0.9829146,0.001401153,0.0022710913,0.012071894],"study_design_scores_gemma":[0.0012236999,0.0010040008,0.04632027,0.00015911405,0.0000079434185,0.000031446252,0.00024485856,0.08721367,0.803548,0.0015097912,0.05837596,0.00036125229],"about_ca_topic_score_codex":0.000079108926,"about_ca_topic_score_gemma":0.0000050547487,"teacher_disagreement_score":0.17936665,"about_ca_system_score_codex":0.000049421265,"about_ca_system_score_gemma":0.000036836973,"threshold_uncertainty_score":0.4277658},"labels":[],"label_agreement":null},{"id":"W1963886607","doi":"10.1523/jneurosci.4662-11.2012","title":"Functional Organization of Envelope-Responsive Neurons in Early Visual Cortex: Organization of Carrier Tuning Properties","year":2012,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Visual cortex; Spatial organization; Neuroscience; Stimulus (psychology); Spatial frequency; Receptive field; Contrast (vision); Orientation (vector space); Ocular dominance; Sensory system; Striate cortex; Biology; Physics; Optics; Psychology; Mathematics; Geometry","score_opus":0.033513396669965695,"score_gpt":0.2478161696346165,"score_spread":0.2143027729646508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1963886607","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964319,0.0000108333015,0.0020108093,0.00017705237,0.0012132132,0.00011621937,0.0000056767813,0.000009579052,0.000024729878],"genre_scores_gemma":[0.9994188,0.00003614484,0.00003807236,0.00029719702,0.00007680879,5.4859555e-7,6.8844065e-7,0.000020622903,0.00011112583],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9980589,0.00021865348,0.0006240633,0.00019622591,0.00066244794,0.00023967776],"domain_scores_gemma":[0.9983413,0.00015307606,0.00074721413,0.00011586483,0.0005361928,0.00010631851],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037658165,0.00012777175,0.00022840459,0.00040415223,0.000119810036,0.000038118807,0.00025322995,0.000049769787,0.000022319733],"category_scores_gemma":[0.005046821,0.00010482895,0.000042549396,0.002087867,0.00023308021,0.0012042808,0.000093054114,0.00023151841,0.000002239772],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004450601,0.00013442877,0.10037213,0.000012391974,7.128681e-7,0.0000070767105,0.00044019823,0.0009879373,0.8975897,0.00023984633,0.000023925022,0.00014715146],"study_design_scores_gemma":[0.0002252349,0.00025243335,0.6218583,0.000029858795,0.000008079031,0.00016743167,0.000059828373,0.0009958524,0.37626538,0.000010769325,0.000051581093,0.00007528434],"about_ca_topic_score_codex":0.000008475276,"about_ca_topic_score_gemma":8.806473e-7,"teacher_disagreement_score":0.52148616,"about_ca_system_score_codex":0.00005031412,"about_ca_system_score_gemma":0.00020825521,"threshold_uncertainty_score":0.60418814},"labels":[],"label_agreement":null},{"id":"W1963901137","doi":"10.1016/j.neulet.2008.08.028","title":"EEG activity in Carmelite nuns during a mystical experience","year":2008,"lang":"en","type":"article","venue":"Neuroscience Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":104,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Institut Universitaire de Gériatrie de Montréal","funders":"John Templeton Foundation","keywords":"Mysticism; Electroencephalography; Coherence (philosophical gambling strategy); Scalp; Psychology; Audiology; Beta Rhythm; BETA (programming language); Alpha (finance); Neuroscience; Developmental psychology; Theology; Medicine; Philosophy; Physics; Anatomy; Psychometrics; Computer science","score_opus":0.03650608584747081,"score_gpt":0.25856592341295687,"score_spread":0.22205983756548606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1963901137","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99541205,0.0000014208636,0.00040701404,0.0026330305,0.0009438191,0.00019435234,0.000004477674,0.0001111993,0.00029266046],"genre_scores_gemma":[0.9897378,0.00002054604,0.000028604358,0.009948375,0.000048097165,0.000029605197,1.5327176e-7,0.000015818001,0.00017100315],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99754435,0.00013433777,0.00020748908,0.00090980413,0.00056412123,0.00063988485],"domain_scores_gemma":[0.9992885,0.00014219875,0.00006986798,0.0003426616,0.000009794864,0.00014695244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000087928405,0.00019305083,0.00017009927,0.00019415522,0.00042867224,0.00007137557,0.00045249358,0.000044117078,0.000012552403],"category_scores_gemma":[0.00063280924,0.0001820674,0.00006596226,0.0009943728,0.0006689315,0.00069718435,0.00013997691,0.00036404488,0.00002877516],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003026178,0.000058263344,0.012101358,0.000005297586,6.861136e-8,0.00057548715,0.0003242943,0.00046096355,0.98617816,0.000082966835,0.000030096538,0.00015276912],"study_design_scores_gemma":[0.00040802069,0.00006800242,0.5363726,0.000014172748,0.0000012211212,0.00048486725,0.000014795866,0.011090261,0.45082137,0.000020548869,0.000398704,0.00030540064],"about_ca_topic_score_codex":0.000057425288,"about_ca_topic_score_gemma":0.0000068552436,"teacher_disagreement_score":0.5353568,"about_ca_system_score_codex":0.00009017788,"about_ca_system_score_gemma":0.000029615963,"threshold_uncertainty_score":0.7424493},"labels":[],"label_agreement":null},{"id":"W1964169670","doi":"10.1016/j.conb.2015.01.011","title":"Taking the next step: cortical contributions to the control of locomotion","year":2015,"lang":"en","type":"review","venue":"Current Opinion in Neurobiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":218,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"Posterior parietal cortex; Neuroscience; Motor cortex; Gait; Cortex (anatomy); Motor control; Gait cycle; Motor area; Contrast (vision); Psychology; Computer science; Physical medicine and rehabilitation; Artificial intelligence; Medicine; Physics","score_opus":0.20222240945539163,"score_gpt":0.4215129035750781,"score_spread":0.21929049411968646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964169670","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000065282424,0.96100533,0.0039561098,0.0026032308,0.027702432,0.0037236142,0.00082898483,0.00004991488,0.000065121334],"genre_scores_gemma":[0.009565472,0.98914486,0.0000017844224,0.00026204163,0.0006037639,0.0002884823,0.00009835459,0.000024922747,0.000010301255],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99582505,0.0022971877,0.00080060354,0.000532582,0.00017378182,0.00037082084],"domain_scores_gemma":[0.996804,0.0018833872,0.0006279043,0.0004952099,0.00011308802,0.00007639528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070905546,0.0002907452,0.00084796804,0.00015918812,0.00015961469,0.00004117121,0.0006828105,0.00017025135,0.00002480035],"category_scores_gemma":[0.0025588553,0.00015096701,0.00025239735,0.0006537478,0.0002525973,0.000052992727,0.00020922264,0.0009685339,0.00007939795],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003466981,0.00017435368,0.000011924178,0.0011866005,0.000010707121,9.771178e-7,0.00002705479,0.0001287014,0.00019267648,0.021311862,0.0057694875,0.971151],"study_design_scores_gemma":[0.00027919156,0.00020835256,0.000057343943,0.0012784576,0.000050813793,0.00005136048,0.000003514672,0.00089073385,0.0000031172156,0.00010421351,0.9969282,0.00014471043],"about_ca_topic_score_codex":0.0000054468233,"about_ca_topic_score_gemma":0.0000035079056,"teacher_disagreement_score":0.9911587,"about_ca_system_score_codex":0.00010133784,"about_ca_system_score_gemma":0.00017275363,"threshold_uncertainty_score":0.61562556},"labels":[],"label_agreement":null},{"id":"W1964301093","doi":"10.1152/jn.91242.2008","title":"Wiener-Volterra Characterization of Neurons in Primary Auditory Cortex Using Poisson-Distributed Impulse Train Inputs","year":2009,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Auditory cortex; Impulse (physics); Neuroscience; Poisson distribution; Computer science; Psychology; Physics; Mathematics","score_opus":0.021474794173742703,"score_gpt":0.2516871602503323,"score_spread":0.23021236607658957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964301093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973684,0.0000021086557,0.00058512914,0.000525659,0.0013453389,0.00010580645,0.000033100092,0.000010806632,0.000023640765],"genre_scores_gemma":[0.99750614,0.00006140182,0.0000356121,0.0020529565,0.0003052508,4.2654952e-7,0.000011437631,0.0000145103095,0.000012267353],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99826014,0.00033535712,0.00068941567,0.0002521056,0.00021433677,0.0002486218],"domain_scores_gemma":[0.9987617,0.0001191549,0.00078614836,0.00016525983,0.0000906052,0.00007714702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007027508,0.00016094126,0.00040988397,0.00029176765,0.00005424975,0.000014604089,0.00024707115,0.000080830214,0.000009733823],"category_scores_gemma":[0.00024758774,0.00014263132,0.00012397874,0.0004309211,0.000095747055,0.00032284364,0.000039044127,0.0003780025,0.0000014734006],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029521805,0.0002098243,0.000033089113,0.000011171401,0.0000021440987,0.00018368631,0.00003275278,0.0016889714,0.99579805,0.000044649114,0.000011250426,0.0016892158],"study_design_scores_gemma":[0.0010010663,0.0022564419,0.91322786,0.000052326595,0.000019801888,0.00050133147,0.0000034667005,0.02004474,0.06207719,0.00040707135,0.00022360978,0.00018507915],"about_ca_topic_score_codex":0.000001969905,"about_ca_topic_score_gemma":2.127183e-7,"teacher_disagreement_score":0.9337208,"about_ca_system_score_codex":0.00006497251,"about_ca_system_score_gemma":0.00009063996,"threshold_uncertainty_score":0.5816337},"labels":[],"label_agreement":null},{"id":"W1964614205","doi":"10.1167/12.9.275","title":"The cortical demands of two kinds of perceptual task","year":2012,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Receptive field; Computer science; Surround suppression; Stimulus (psychology); Perception; Computation; Set (abstract data type); Artificial intelligence; Speech recognition; Pattern recognition (psychology); Psychology; Visual perception; Algorithm; Cognitive psychology; Neuroscience","score_opus":0.02597280261295078,"score_gpt":0.3156982116502765,"score_spread":0.28972540903732574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964614205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998125,0.00006228329,0.00039905685,0.00028220544,0.0006816239,0.0000312185,0.0000016531503,0.0000018933189,0.000415053],"genre_scores_gemma":[0.99950224,0.00008945199,0.00007921103,0.00009955053,0.00015581318,1.3824783e-7,1.0587177e-7,0.0000050264534,0.00006844748],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989366,0.000111125075,0.00038435377,0.000051690145,0.00038545328,0.00013077703],"domain_scores_gemma":[0.9989861,0.00041158774,0.000354721,0.00009750495,0.000080912585,0.00006916763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005807503,0.000053152668,0.00013198113,0.00005172654,0.00008165556,0.000011884482,0.00014855438,0.00002852447,0.000029417686],"category_scores_gemma":[0.00047187044,0.000028563934,0.00010541338,0.000117361036,0.0001141293,0.0001913851,0.000042006173,0.00018360406,0.000003472223],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011722691,0.000112234615,0.0023829448,0.0000046674936,0.0000027812944,0.0000019476147,0.00012850168,0.000029413774,0.98840165,0.0020810573,0.00038036893,0.0063572014],"study_design_scores_gemma":[0.0023548629,0.0045220093,0.63841516,0.0002094713,0.00011312016,0.0006753768,0.0004038366,0.011928167,0.3309989,0.0024572806,0.007684469,0.00023732013],"about_ca_topic_score_codex":0.0000015007439,"about_ca_topic_score_gemma":6.2125054e-7,"teacher_disagreement_score":0.65740275,"about_ca_system_score_codex":0.000013809885,"about_ca_system_score_gemma":0.00001942604,"threshold_uncertainty_score":0.11648034},"labels":[],"label_agreement":null},{"id":"W1964643123","doi":"10.1016/j.bandc.2013.10.004","title":"Adolescent anxiety and aggression can be differentially predicted by electrocortical phase reset variables","year":2013,"lang":"en","type":"article","venue":"Brain and Cognition","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Brock University","funders":"Canadian Institutes of Health Research","keywords":"Psychology; Aggression; Anxiety; Reset (finance); Developmental psychology; Electroencephalography; Human factors and ergonomics; Poison control; Clinical psychology; Neuroscience; Psychiatry; Medical emergency","score_opus":0.014974542539502374,"score_gpt":0.24714441812588867,"score_spread":0.2321698755863863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964643123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99413604,0.000047551195,0.0014694739,0.0033727423,0.00008592363,0.0004228798,0.00017817503,0.00007411548,0.00021311494],"genre_scores_gemma":[0.99525505,0.00071681256,0.000020544647,0.003529824,0.000055711942,0.000045099525,0.00020796181,0.000012023289,0.00015699318],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99896973,0.00011175545,0.00015093244,0.00035708657,0.00018334131,0.0002271308],"domain_scores_gemma":[0.99957633,0.00010309748,0.000058537495,0.00007921602,0.00003923958,0.00014360817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006107353,0.00012653692,0.00010491059,0.00004428906,0.00019674152,0.000133383,0.000045171633,0.00007689475,0.00009550006],"category_scores_gemma":[0.00023971952,0.00010372989,0.000019919029,0.00010841746,0.000093828356,0.00014802066,0.000046014567,0.0001483791,0.00000216578],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008505586,0.00017453925,0.00014163944,0.000022456963,0.0000026148514,0.000001941368,0.000022910492,6.185627e-8,0.93442166,0.00024917026,0.008980375,0.055897605],"study_design_scores_gemma":[0.011981546,0.0022706357,0.01850937,0.0010048238,0.0001470717,0.0003014098,0.00010655198,0.08218832,0.84871167,0.02437166,0.009273783,0.001133178],"about_ca_topic_score_codex":0.000022256765,"about_ca_topic_score_gemma":0.000008722803,"teacher_disagreement_score":0.08570998,"about_ca_system_score_codex":0.000011656381,"about_ca_system_score_gemma":0.000013838784,"threshold_uncertainty_score":0.42299822},"labels":[],"label_agreement":null},{"id":"W1964800058","doi":"10.1111/j.1755-3768.2011.4321.x","title":"Spatio‐temporal responses in the visual cortex evoked from first‐ and higher order thalamic nuclei in tree shrews: a voltage sensitive dyes study","year":2011,"lang":"en","type":"article","venue":"Acta Ophthalmologica","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Lateral geniculate nucleus; Neuroscience; Visual cortex; Stimulation; Thalamus; Cortex (anatomy); Extrastriate cortex; Geniculate; Local field potential; Temporal cortex; Chemistry; Psychology; Nucleus","score_opus":0.06251106104081898,"score_gpt":0.29051106513536795,"score_spread":0.22800000409454896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964800058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995836,0.0000115680605,0.0000017065705,0.00034627292,0.00020391357,0.00075869635,0.00002739702,0.00003971961,0.002774715],"genre_scores_gemma":[0.99904424,0.0000128077045,0.000036211655,0.00043870948,0.000034196226,0.000053957254,0.000009395168,0.000018823395,0.0003516341],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99769527,0.00071978674,0.0003178647,0.00068797544,0.00025900672,0.00032007802],"domain_scores_gemma":[0.99829215,0.0011847133,0.00014085468,0.00031127554,0.000027437072,0.000043597665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040006972,0.0002496986,0.000286605,0.00014804617,0.00015841417,0.0000723188,0.00029744464,0.000117022886,0.00021662339],"category_scores_gemma":[0.0005382222,0.00016262147,0.000040872856,0.0004967937,0.00019613243,0.0002375217,0.000170626,0.00032266034,0.000018879462],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00249058,0.0021433744,0.9190297,0.000007198146,0.000015433356,0.0059752567,0.0068966085,0.0000019438478,0.06237634,0.00024709763,0.000091795126,0.0007246652],"study_design_scores_gemma":[0.00081631093,0.0013191582,0.9934674,0.000014562067,0.00001119717,0.000116146766,0.0013399057,0.0006649144,0.00054397003,0.0014440211,0.00005243556,0.00021001535],"about_ca_topic_score_codex":0.002140218,"about_ca_topic_score_gemma":0.00081477425,"teacher_disagreement_score":0.074437656,"about_ca_system_score_codex":0.00003637241,"about_ca_system_score_gemma":0.000021479284,"threshold_uncertainty_score":0.6631511},"labels":[],"label_agreement":null},{"id":"W1964819414","doi":"10.3389/fnsys.2014.00055","title":"Time for new thinking about sensitive periods","year":2014,"lang":"en","type":"article","venue":"Frontiers in Systems Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Neurological Institute and Hospital; Concordia University; International Laboratory for Brain, Music and Sound Research","funders":"","keywords":"Volume (thermodynamics); Front (military); Psychology; Computer science; Geography; Physics; Meteorology","score_opus":0.016786689795996505,"score_gpt":0.23640699439953444,"score_spread":0.21962030460353793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964819414","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4319492,0.00008047234,0.5286533,0.0011850048,0.030208403,0.0021974936,0.00004823046,0.00039697654,0.005280874],"genre_scores_gemma":[0.98748213,0.000015062192,0.0013635656,0.0022338517,0.00035608915,0.00003863788,0.0000018320732,0.000035805184,0.008472999],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975816,0.00024219161,0.00033786774,0.00086316204,0.0004428835,0.0005322879],"domain_scores_gemma":[0.99907225,0.00023253859,0.00017395803,0.0003342027,0.00003566649,0.00015139804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063276687,0.00020859308,0.00031117714,0.00021922914,0.00036061462,0.0002870188,0.00049548113,0.00007925179,0.0000014261914],"category_scores_gemma":[0.0014207071,0.00019110397,0.00008233314,0.0006044907,0.00023756296,0.0004063655,0.0000860534,0.000180248,0.000017637192],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000088890476,0.000055625296,0.0014702382,0.00006992179,0.0000012007563,0.000025336432,0.0007496342,0.008249209,0.9542215,0.007816295,0.020579278,0.0066728895],"study_design_scores_gemma":[0.000635597,0.00028138695,0.0021118463,0.0000972764,0.0000059868717,0.00006929911,0.00009392166,0.92844796,0.012270001,0.0013106578,0.054291565,0.0003844869],"about_ca_topic_score_codex":0.000031744134,"about_ca_topic_score_gemma":0.0000021199978,"teacher_disagreement_score":0.94195145,"about_ca_system_score_codex":0.00008464014,"about_ca_system_score_gemma":0.00006859184,"threshold_uncertainty_score":0.7792994},"labels":[],"label_agreement":null},{"id":"W1964898667","doi":"10.1162/08989290152001916","title":"Conjoining Three Auditory Features: An Event-Related Brain Potential Study","year":2001,"lang":"en","type":"article","venue":"Journal of Cognitive Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"","keywords":"Feature (linguistics); Duration (music); Amplitude; Conjunction (astronomy); Electroencephalography; Tone (literature); Speech recognition; Psychology; Audiology; Event-related potential; Scalp; Communication; Acoustics; Physics; Computer science; Neuroscience; Optics","score_opus":0.02932360308264292,"score_gpt":0.3036017362199899,"score_spread":0.274278133137347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964898667","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906326,0.000015787055,0.003239581,0.0006918153,0.004611136,0.00033720987,0.000010339083,0.000041530526,0.0004199977],"genre_scores_gemma":[0.99624,0.000027538053,0.0000097735065,0.0028627764,0.00038672754,0.000003439446,5.885858e-7,0.000023347746,0.00044578934],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9968333,0.0005185802,0.00061924965,0.00053780095,0.0010760239,0.00041503232],"domain_scores_gemma":[0.9978218,0.0006969585,0.00072859164,0.00017755499,0.00030710822,0.00026796103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088599965,0.00023145544,0.0002916186,0.00033194246,0.00049428525,0.00024322847,0.0005593761,0.00006681577,0.000052357656],"category_scores_gemma":[0.0053416747,0.00018921697,0.00015293447,0.00088106905,0.00033413147,0.0013846365,0.00010544207,0.0007165921,0.0000131815505],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042320293,0.0010065654,0.0034549155,0.000002815923,0.0000056551594,0.0024328677,0.0004223224,0.0010179889,0.98182344,0.00011742323,0.00033026523,0.008962518],"study_design_scores_gemma":[0.006354149,0.017854841,0.9122026,0.00033015016,0.00017650546,0.012256012,0.0022230726,0.02422574,0.020068869,0.0022840276,0.0010293268,0.0009946859],"about_ca_topic_score_codex":0.000005550101,"about_ca_topic_score_gemma":0.000016413287,"teacher_disagreement_score":0.9617546,"about_ca_system_score_codex":0.0000407606,"about_ca_system_score_gemma":0.000148953,"threshold_uncertainty_score":0.7716044},"labels":[],"label_agreement":null},{"id":"W1965095041","doi":"10.1016/j.biosystems.2006.04.010","title":"Optimal signal in sensory neurons under an extended rate coding concept","year":2006,"lang":"en","type":"article","venue":"Biosystems","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Akademie Věd České Republiky","keywords":"Fisher information; Inflection point; Sigmoid function; Mathematics; Estimator; Point process; Parametric statistics; Transfer function; Algorithm; Computer science; Statistics; Artificial intelligence; Artificial neural network","score_opus":0.03711818905034501,"score_gpt":0.25922912395851183,"score_spread":0.22211093490816683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965095041","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970431,0.000011317838,0.00055038463,0.00028919498,0.000745076,0.0002441653,0.000029239043,0.00010925116,0.0009783093],"genre_scores_gemma":[0.9983585,0.0000016557977,0.000024688718,0.0003289789,0.00019768534,0.000008463868,0.000008078743,0.000020590945,0.0010513718],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998534,0.0002955559,0.000266067,0.00043288205,0.00017262956,0.00029884148],"domain_scores_gemma":[0.9995197,0.00012818965,0.00009000939,0.00018254895,0.000018216937,0.00006130205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017148566,0.00014277184,0.00015555171,0.000100723424,0.00011346068,0.00010053851,0.00013477301,0.00006594634,0.000028301256],"category_scores_gemma":[0.00002354505,0.00013022262,0.000045031124,0.00022617712,0.00006265,0.00020763917,0.000029655703,0.00013678873,0.00002477768],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022087484,0.000062869985,0.00017529716,0.000008413881,6.3796193e-7,0.00006470125,0.00002391967,0.006060792,0.976788,0.016568527,0.00010433302,0.00012041716],"study_design_scores_gemma":[0.0018733635,0.000539616,0.02841808,0.000060962255,0.000012903439,0.00023399125,0.0003496668,0.3943291,0.5695715,0.00077539973,0.003045528,0.00078987656],"about_ca_topic_score_codex":0.00011103013,"about_ca_topic_score_gemma":0.00006780147,"teacher_disagreement_score":0.4072165,"about_ca_system_score_codex":0.00005272284,"about_ca_system_score_gemma":0.000025053798,"threshold_uncertainty_score":0.5310324},"labels":[],"label_agreement":null},{"id":"W1965202386","doi":"10.1007/s10827-014-0539-z","title":"Spike detection methods for polytrodes and high density microelectrode arrays","year":2014,"lang":"en","type":"article","venue":"Journal of Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Spike (software development); Computer science; Pattern recognition (psychology); Cluster analysis; Multielectrode array; Microelectrode; Waveform; Artificial intelligence; Temporal resolution; Noise (video); Spike sorting; Spike train; Physics; Electrode","score_opus":0.022314704195287874,"score_gpt":0.30708537870658176,"score_spread":0.2847706745112939,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965202386","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45717707,0.0000046598025,0.5415916,0.00052658096,0.0006188725,0.000061475475,0.0000014055549,0.000008970251,0.000009377929],"genre_scores_gemma":[0.9541661,0.000011738075,0.043570917,0.0020586203,0.00015650383,0.0000016291469,2.708459e-7,0.000009099995,0.000025123918],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99874026,0.00021575618,0.00030853055,0.000273199,0.00027209948,0.00019013014],"domain_scores_gemma":[0.99827296,0.0010195936,0.00035964654,0.00007175427,0.00017547682,0.000100552264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072943355,0.00010941924,0.00017294972,0.00016853528,0.0003068676,0.00011733793,0.00018233636,0.000030384226,0.0000015437535],"category_scores_gemma":[0.0017781064,0.00009234261,0.00007580475,0.00026636507,0.00019306086,0.00034514113,0.00003494894,0.00016412247,6.1911095e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006541487,0.000027580341,0.00003620286,0.0000069274474,6.833109e-7,0.0000012866828,0.0000123778,0.010226281,0.9386788,0.008720521,0.000017675029,0.042206224],"study_design_scores_gemma":[0.00044899056,0.000850783,0.011037292,0.000008401829,0.000012356786,0.0006820435,0.0000022207155,0.41827887,0.47569707,0.09171118,0.0011528406,0.00011794687],"about_ca_topic_score_codex":0.0000021419505,"about_ca_topic_score_gemma":9.545445e-7,"teacher_disagreement_score":0.49802065,"about_ca_system_score_codex":0.00002638041,"about_ca_system_score_gemma":0.000043955002,"threshold_uncertainty_score":0.37656224},"labels":[],"label_agreement":null},{"id":"W1965299097","doi":"10.1097/00000542-200612000-00035","title":"To Sleep, Perchance to Decode?","year":2006,"lang":"en","type":"article","venue":"Anesthesiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Medicine; Sleep (system call); Audiology; Operating system","score_opus":0.020680169691779104,"score_gpt":0.2510603420265636,"score_spread":0.23038017233478447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965299097","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952225,0.000006282194,0.00045749723,0.0023252235,0.00023116538,0.00017108081,0.0000020214397,0.000070348855,0.0015138884],"genre_scores_gemma":[0.9800871,0.0000026326775,0.00036158893,0.017750401,0.00013011527,0.000029224331,0.0000016843513,0.000012114594,0.0016251274],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990827,0.000070440154,0.00012279056,0.00037429755,0.000076495984,0.00027328043],"domain_scores_gemma":[0.99954385,0.0001436114,0.000022189988,0.00019839293,0.000017180648,0.000074788535],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000073008974,0.00009348228,0.00011802213,0.00008183968,0.00008923597,0.000014559995,0.00018033347,0.000052637737,0.000059863138],"category_scores_gemma":[0.00015243831,0.00008014028,0.000031610314,0.00022447799,0.000028371836,0.000038866187,0.00004426358,0.00006197279,0.0011342771],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060160823,0.000042482927,0.006564035,0.0000027912797,4.3702892e-7,0.00007624295,0.00004430751,0.0010978717,0.96543443,0.014341735,0.005014964,0.00732052],"study_design_scores_gemma":[0.0003154678,0.0016063048,0.49832827,0.000011972145,0.0000067394426,0.0003429392,0.000018733588,0.002089491,0.22840047,0.013623628,0.25467613,0.0005798453],"about_ca_topic_score_codex":0.00009520705,"about_ca_topic_score_gemma":0.00006809784,"teacher_disagreement_score":0.73703396,"about_ca_system_score_codex":0.000018266363,"about_ca_system_score_gemma":0.00000745902,"threshold_uncertainty_score":0.99964345},"labels":[],"label_agreement":null},{"id":"W1965479704","doi":"10.1109/iscas.2013.6572385","title":"Parameter estimation of Hodgkin-Huxley neuronal model using dual extended Kalman filter","year":2013,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Kalman filter; Hodgkin–Huxley model; Computer science; Noise (video); Estimation theory; Extended Kalman filter; Biological neuron model; Filter (signal processing); Dual (grammatical number); Artificial intelligence; Biological system; Control theory (sociology); Algorithm; Artificial neural network; Neuroscience; Computer vision; Biology","score_opus":0.056945635790049826,"score_gpt":0.2803960808778262,"score_spread":0.22345044508777637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965479704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93939096,8.135331e-7,0.058557145,0.00021555964,0.00018125212,0.0002055351,0.000006373221,0.000046591536,0.0013957524],"genre_scores_gemma":[0.9874411,0.000001092009,0.01053262,0.001051786,0.00002164666,0.0000089341975,0.0000032664225,0.000014611875,0.00092492055],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990003,0.000050386174,0.00022837061,0.00028859984,0.00024053702,0.0001917696],"domain_scores_gemma":[0.9994838,0.00013629453,0.0000929058,0.00019368118,0.000038796592,0.000054469958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000056183057,0.000116180054,0.00011819144,0.000078608726,0.000069941845,0.000053957494,0.000094743235,0.000044301192,0.00027347176],"category_scores_gemma":[0.00016486165,0.00009304494,0.00006138789,0.0001256263,0.00006640487,0.0004394802,0.00006133531,0.000093805786,0.000046156867],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012296225,0.000059619833,0.000028756347,0.000009684617,0.0000015988122,0.0000013830047,0.000020104957,0.085955046,0.90340257,0.004881663,0.0002993674,0.0053279316],"study_design_scores_gemma":[0.00014282794,0.00006465887,0.001660047,0.000004977058,0.000005804006,0.000014502877,0.0000028246018,0.88707554,0.096834615,0.014093618,0.000004940115,0.00009562558],"about_ca_topic_score_codex":0.00003822954,"about_ca_topic_score_gemma":0.0000013940937,"teacher_disagreement_score":0.8065679,"about_ca_system_score_codex":0.00001579033,"about_ca_system_score_gemma":0.000017865932,"threshold_uncertainty_score":0.37942624},"labels":[],"label_agreement":null},{"id":"W1965490887","doi":"10.1007/s00213-006-0527-8","title":"The ability of the mesocortical dopamine system to operate in distinct temporal modes","year":2006,"lang":"en","type":"review","venue":"Psychopharmacology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":153,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Center for Research Resources; National Institute on Drug Abuse; U.S. Public Health Service; National Institutes of Health","keywords":"Neuroscience; Bursting; Dopamine; Efferent; Prefrontal cortex; Neurotransmission; Glutamate receptor; Midbrain; Inhibitory postsynaptic potential; Psychology; Depolarization; Biology; Central nervous system; Receptor; Afferent; Cognition; Biophysics","score_opus":0.046633647916126564,"score_gpt":0.3690055977296886,"score_spread":0.32237194981356204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965490887","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10050461,0.8669598,0.00009030131,0.0027104693,0.01391418,0.010052894,0.00044386633,0.00016441048,0.005159465],"genre_scores_gemma":[0.44152585,0.5554529,0.000018120038,0.00045144575,0.00046610317,0.0010208683,0.000010682996,0.000077436154,0.000976609],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.996711,0.0011828913,0.0008908397,0.0006116369,0.00022835485,0.00037524922],"domain_scores_gemma":[0.998241,0.00087488524,0.0003040535,0.000472773,0.000036627433,0.00007064272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054444926,0.00030155212,0.0008329827,0.00008195698,0.00017998177,0.00003394936,0.00083771325,0.00015247168,0.0000148594545],"category_scores_gemma":[0.00023105927,0.00014801572,0.00029211256,0.0007503721,0.0002695646,0.000032632393,0.00020787517,0.00051517587,0.000029553632],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065348507,0.0010367798,0.00045053932,0.015932154,0.0000856539,0.00011739868,0.00006204535,0.00046246452,0.026955051,0.01061544,0.008161582,0.9354674],"study_design_scores_gemma":[0.00066598784,0.0001488972,0.0007033528,0.0009508682,0.00020879525,0.00008079827,0.0000120990235,0.0028038432,0.00015579473,0.000077189354,0.99382156,0.00037079086],"about_ca_topic_score_codex":0.00005390216,"about_ca_topic_score_gemma":0.00006556794,"teacher_disagreement_score":0.98566,"about_ca_system_score_codex":0.00019866644,"about_ca_system_score_gemma":0.00011194352,"threshold_uncertainty_score":0.6035906},"labels":[],"label_agreement":null},{"id":"W1965554839","doi":"10.1186/1471-2202-12-s1-p205","title":"Signal detection in neural populations: the importance of heterogeneity","year":2011,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Neural coding; Artificial neural network; Computer science; Synchronization (alternating current); Sensory system; Population; Neuroscience; Artificial intelligence; Biology","score_opus":0.14884180224205731,"score_gpt":0.2960335841136588,"score_spread":0.1471917818716015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965554839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967231,0.000010326426,0.0019774947,0.00003991094,0.0006544835,0.00023816746,0.000004683078,0.00003462652,0.00031718594],"genre_scores_gemma":[0.99934566,0.0000037908703,0.00007462671,0.000498607,0.00001977422,0.000018298968,1.851309e-7,0.000008130718,0.000030920368],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99857956,0.00017236837,0.00029564108,0.00042750442,0.00028574694,0.00023914975],"domain_scores_gemma":[0.99936223,0.0000975189,0.00017170837,0.0003043171,0.00002105635,0.00004319381],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024790163,0.00010812391,0.00010066773,0.00009598271,0.00020444396,0.000025612218,0.00039690256,0.000029219522,0.000013217298],"category_scores_gemma":[0.00045777723,0.00007771212,0.00006122404,0.0008167573,0.00026612415,0.00033280844,0.00008692141,0.00014702891,0.0000037457507],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038733164,0.00007377513,0.14156556,0.000006669477,7.9789146e-8,0.000008840443,0.000060063434,0.0006667618,0.8546662,0.0015034665,0.0000021172957,0.0014077536],"study_design_scores_gemma":[0.000117858166,0.00012325584,0.57629216,0.000003924403,0.0000020817301,0.00005057237,0.0000107683945,0.10538378,0.31698057,0.00092369487,0.000021247382,0.00009007534],"about_ca_topic_score_codex":0.000056605266,"about_ca_topic_score_gemma":0.00063341664,"teacher_disagreement_score":0.53768563,"about_ca_system_score_codex":0.000018952038,"about_ca_system_score_gemma":0.000018943516,"threshold_uncertainty_score":0.3169008},"labels":[],"label_agreement":null},{"id":"W1965579526","doi":"10.1152/jn.00940.2010","title":"Neuronal activation times to simple, complex, and natural sounds in cat primary and nonprimary auditory cortex","year":2011,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Auditory cortex; Neuroscience; Stimulus (psychology); Sensory system; Natural sounds; Psychology; Speech recognition; Computer science; Cognitive psychology","score_opus":0.02736934925038119,"score_gpt":0.24417436095549394,"score_spread":0.21680501170511274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965579526","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985572,0.000004712322,0.000025640978,0.00030670938,0.0007472637,0.00009450736,0.0000032262803,0.000008959079,0.00025176568],"genre_scores_gemma":[0.9945069,0.00006445715,0.00013880062,0.005003014,0.00020209124,0.0000012969952,0.0000017370911,0.000014445594,0.00006723225],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99893534,0.0001632977,0.00030883527,0.00025878145,0.00014381767,0.00018991348],"domain_scores_gemma":[0.9992947,0.00025362492,0.00021541328,0.00009698434,0.000046503,0.00009277343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000047000107,0.00013446892,0.00025695364,0.00021191317,0.000075161995,0.000019343222,0.00013710686,0.000044955028,0.000023258293],"category_scores_gemma":[0.00017487825,0.00011098493,0.000039413248,0.00015512726,0.00013276431,0.00026634312,0.00012692774,0.0002866753,0.000003421265],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037579783,0.000058456055,0.00030870922,0.000012676391,0.0000025858506,0.00006333677,0.00008100698,0.000029890001,0.99582964,0.00012546648,0.00024730907,0.002865099],"study_design_scores_gemma":[0.0004330521,0.0010639863,0.9908943,0.000008733743,0.0000063372263,0.00029344478,0.000009080574,0.0016168673,0.0038007484,0.0010108704,0.00074935873,0.0001132313],"about_ca_topic_score_codex":0.000008637502,"about_ca_topic_score_gemma":0.0000012414283,"teacher_disagreement_score":0.9920289,"about_ca_system_score_codex":0.00003242489,"about_ca_system_score_gemma":0.000036956266,"threshold_uncertainty_score":0.4525834},"labels":[],"label_agreement":null},{"id":"W1965641670","doi":"10.1186/1471-2202-14-s1-p103","title":"Sculpting dynamical systems for models of neural computation and memory","year":2013,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Attractor; Dynamical systems theory; Computer science; Artificial neural network; Ordinary differential equation; State space; Computation; Dynamical system (definition); Fixed point; Theoretical computer science; Set (abstract data type); Artificial intelligence; Topology (electrical circuits); Differential equation; Mathematics; Algorithm; Physics; Mathematical analysis","score_opus":0.06885634777047728,"score_gpt":0.27560417181754127,"score_spread":0.206747824047064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965641670","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8911742,0.000016854845,0.107007004,0.000097099175,0.000774469,0.0006977215,0.00001118579,0.00005437134,0.00016708254],"genre_scores_gemma":[0.99887943,0.000008237467,0.0005667777,0.00028530703,0.000030323308,0.00005292404,9.912426e-7,0.000013016012,0.00016301603],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986242,0.000088594854,0.0002693087,0.0004916599,0.00026969824,0.0002565204],"domain_scores_gemma":[0.99913836,0.00041712975,0.00015330658,0.00013717433,0.00006706008,0.00008697222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016367312,0.00011878803,0.00015511892,0.00008733016,0.00019659632,0.00014155357,0.00018756249,0.00003471694,9.554299e-7],"category_scores_gemma":[0.00047095353,0.0001017776,0.000046931043,0.0002560631,0.00022993628,0.000626571,0.000085831125,0.000077364835,0.0000018174397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011413781,0.000029898689,0.0002142866,0.00008858859,1.7386249e-7,7.170954e-7,0.000032596537,0.13795845,0.8550608,0.004895262,0.00003489762,0.0016728723],"study_design_scores_gemma":[0.00022157546,0.00013584252,0.002489609,0.0000128662805,0.0000032479952,0.000033987973,0.000029410621,0.9911862,0.0044500213,0.0013258747,0.000007523635,0.000103854436],"about_ca_topic_score_codex":0.000045079487,"about_ca_topic_score_gemma":0.0000017400972,"teacher_disagreement_score":0.85322773,"about_ca_system_score_codex":0.000013601835,"about_ca_system_score_gemma":0.000022312204,"threshold_uncertainty_score":0.415037},"labels":[],"label_agreement":null},{"id":"W1965749376","doi":"10.1038/nn.2108","title":"Double dissociation of 'what' and 'where' processing in auditory cortex","year":2008,"lang":"en","type":"article","venue":"Nature Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":302,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Auditory cortex; Neuroscience; Stimulus (psychology); Dissociation (chemistry); Psychology; Cognitive neuroscience of music; Cerebral cortex; Auditory system; Cognitive psychology; Chemistry","score_opus":0.017122329853666497,"score_gpt":0.26688442910201854,"score_spread":0.24976209924835205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965749376","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99743253,0.00023078329,0.000033385662,0.00044871503,0.0012767405,0.00015314859,0.0000023973328,0.000032430988,0.0003898857],"genre_scores_gemma":[0.9981952,0.0005598386,0.000023410448,0.0008391581,0.00005230608,0.000004765715,3.9551657e-7,0.000008053415,0.0003169192],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987364,0.0000429283,0.00017871623,0.00044472687,0.00039266003,0.00020455806],"domain_scores_gemma":[0.99956805,0.000072403804,0.00015288685,0.00012054055,0.000036378246,0.000049765476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012821685,0.00010093461,0.00012506978,0.0001216224,0.00019486804,0.00006089664,0.00018179948,0.00011318915,0.000002273814],"category_scores_gemma":[0.0003336763,0.00008907617,0.000023294184,0.0007315469,0.0002885911,0.0009670055,0.000058262627,0.00038772332,0.000001051236],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031139854,0.000053504416,0.005122205,0.000021000435,5.6678576e-8,0.000023763603,0.00015549606,0.000042737283,0.99142957,0.0005316345,0.00007362731,0.0025152734],"study_design_scores_gemma":[0.0012304778,0.00025511495,0.84059674,0.00013861514,0.0000049672635,0.00019618614,0.00006709647,0.023829566,0.12957004,0.0007749289,0.002981045,0.00035524645],"about_ca_topic_score_codex":0.0000073760966,"about_ca_topic_score_gemma":0.000014268058,"teacher_disagreement_score":0.8618595,"about_ca_system_score_codex":0.000028133181,"about_ca_system_score_gemma":0.00005754721,"threshold_uncertainty_score":0.3632421},"labels":[],"label_agreement":null},{"id":"W1965890900","doi":"10.1103/physreve.78.021911","title":"Driving neural oscillations with correlated spatial input and topographic feedback","year":2008,"lang":"en","type":"article","venue":"Physical Review E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Coupling (piping); Physics; Statistical physics; Spectral density; Negative feedback; Noise (video); Range (aeronautics); Spatial correlation; Control theory (sociology); Computer science; Mathematics; Biological system; Quantum mechanics; Voltage; Telecommunications; Materials science; Artificial intelligence","score_opus":0.024148606841398444,"score_gpt":0.25967187197289815,"score_spread":0.2355232651314997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965890900","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99713963,0.00040285126,0.00019828351,0.0009740955,0.000099289864,0.00027086315,0.000002818551,0.00006255434,0.00084959035],"genre_scores_gemma":[0.99461955,0.0038935132,0.00001788184,0.0012828326,0.0000762239,0.000011660909,0.0000030650156,0.000011760675,0.000083520594],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991522,0.00007052989,0.00013151813,0.00029090745,0.00019445924,0.0001604088],"domain_scores_gemma":[0.99950284,0.00016245646,0.00007177622,0.00015029902,0.00002648391,0.00008616751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003561157,0.00012110468,0.00020892669,0.000030556017,0.00020652176,0.000018955017,0.0000655234,0.0000145780605,0.000014993092],"category_scores_gemma":[0.00018085164,0.00008437262,0.00006105354,0.00041119131,0.0001517672,0.00014394593,0.000041289473,0.00016657973,0.000024753688],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021404515,0.0014829149,0.109684035,0.0021133765,0.00007148899,0.0004289389,0.00077843276,0.0010191539,0.58140963,0.040960193,0.003366165,0.25847164],"study_design_scores_gemma":[0.0022485107,0.0019100436,0.52512026,0.0029965416,0.00032486088,0.0013033162,0.000009434248,0.43351868,0.005903684,0.004943164,0.019912437,0.0018090882],"about_ca_topic_score_codex":0.000016983693,"about_ca_topic_score_gemma":0.000010176586,"teacher_disagreement_score":0.5755059,"about_ca_system_score_codex":0.000007858377,"about_ca_system_score_gemma":0.00001207599,"threshold_uncertainty_score":0.34406158},"labels":[],"label_agreement":null},{"id":"W1966199374","doi":"10.1016/j.neuroimage.2009.09.038","title":"Nonhuman primate event-related potentials associated with pro- and anti-saccades","year":2009,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Saccade; Macaque; Psychology; Event-related potential; Stimulus (psychology); Negativity effect; Neuroscience; Primate; Frontal eye fields; Eye movement; Electrophysiology; Audiology; Electroencephalography; Cognitive psychology; Medicine","score_opus":0.02005627544389046,"score_gpt":0.26199260326426294,"score_spread":0.24193632782037247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966199374","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959136,0.0000132015075,0.00007115163,0.001143213,0.00014999603,0.00036750454,0.000015043863,0.00022837587,0.0020978674],"genre_scores_gemma":[0.9972752,0.00003337867,0.000023080918,0.0015205069,0.000020816324,0.000003855258,0.000008115236,0.000024265772,0.001090806],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99849,0.00013919598,0.00022957723,0.0005329691,0.0002777626,0.0003305429],"domain_scores_gemma":[0.9994247,0.0000848782,0.00016138439,0.00020657199,0.000035536443,0.00008694491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014104747,0.00019452875,0.0002040916,0.00009170519,0.00025293438,0.000174029,0.00014293737,0.00006600567,0.000028968292],"category_scores_gemma":[0.00028169964,0.00015420688,0.000043748132,0.00032039004,0.000104279236,0.00034041452,0.000039284576,0.00024304319,0.000021439411],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027611972,0.00012422536,0.00066840544,0.000005997726,0.000003795367,0.00015026117,0.00003467149,0.000050305858,0.9956518,0.0008182982,0.00014556169,0.002319056],"study_design_scores_gemma":[0.00295159,0.0018113211,0.6341163,0.00013500835,0.00009692676,0.00034510475,0.000013066189,0.01457248,0.34058443,0.00391349,0.00060068176,0.0008596221],"about_ca_topic_score_codex":0.0000027227074,"about_ca_topic_score_gemma":0.0000022962577,"teacher_disagreement_score":0.6550674,"about_ca_system_score_codex":0.000017810138,"about_ca_system_score_gemma":0.000017185914,"threshold_uncertainty_score":0.6288374},"labels":[],"label_agreement":null},{"id":"W1966256802","doi":"10.1121/1.4708779","title":"Feature-specific cortical plasticity after rapid perceptual learning during speech segregation: a MEG study","year":2012,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Baycrest Hospital","funders":"","keywords":"Magnetoencephalography; Auditory cortex; Perception; Feature (linguistics); Psychology; Audiology; Neuroplasticity; Significant difference; Cortex (anatomy); Electroencephalography; Neuroscience; Medicine","score_opus":0.020306561955828407,"score_gpt":0.24639080478954217,"score_spread":0.22608424283371376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966256802","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9871128,0.0000630088,0.009774624,0.0023444754,0.00045307484,0.00017844384,0.000003101091,0.000014348175,0.00005607432],"genre_scores_gemma":[0.9971689,0.00013393868,0.0013442383,0.0007162524,0.00041335708,0.0000016158875,8.883964e-8,0.000016828835,0.0002047589],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9978386,0.00055925496,0.00033807705,0.00012990307,0.0007902811,0.00034387878],"domain_scores_gemma":[0.99808663,0.0011325512,0.00036761814,0.00018495637,0.000099568926,0.00012868068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056125154,0.00015808351,0.00027690534,0.000019476807,0.00044032626,0.000033641198,0.00040280874,0.000060708502,0.0001418995],"category_scores_gemma":[0.0007389645,0.00008132503,0.00032340418,0.0003324665,0.0005879554,0.00018769175,0.00022117654,0.0011611491,0.0000105624285],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014370854,0.0011342856,0.0059587103,0.000037460482,0.00010763043,0.000010681673,0.0062932707,0.005890352,0.96636355,0.00001387331,0.0059030764,0.006850048],"study_design_scores_gemma":[0.0042395713,0.0049301656,0.72509176,0.00021500648,0.0014196616,0.002322828,0.030425513,0.1694612,0.05262962,0.00029828935,0.007895575,0.0010708196],"about_ca_topic_score_codex":0.0000035098917,"about_ca_topic_score_gemma":1.5510527e-7,"teacher_disagreement_score":0.9137339,"about_ca_system_score_codex":0.00007879328,"about_ca_system_score_gemma":0.000025262812,"threshold_uncertainty_score":0.50446796},"labels":[],"label_agreement":null},{"id":"W1966337493","doi":"10.1371/journal.pcbi.1000198","title":"Biophysical Basis for Three Distinct Dynamical Mechanisms of Action Potential Initiation","year":2008,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":279,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Howard Hughes Medical Institute","keywords":"Neuroscience; Stimulus (psychology); Transduction (biophysics); Depolarization; Physics; Bifurcation; Hopf bifurcation; Sensory system; Electrophysiology; Biophysics; Biological system; Biology; Nonlinear system; Psychology","score_opus":0.06296101642534403,"score_gpt":0.27956454425227284,"score_spread":0.21660352782692882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966337493","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5896675,6.4350235e-7,0.40951368,0.00025573207,0.00022897962,0.00015772264,0.00010989403,0.000031585038,0.00003428518],"genre_scores_gemma":[0.99713326,0.0000014809392,0.002337053,0.00015859243,0.00010832318,0.000030813822,0.00021138528,0.00001013227,0.000008974002],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991395,0.00006821055,0.00022039263,0.00028836023,0.00014358306,0.0001399852],"domain_scores_gemma":[0.9991101,0.0005565596,0.00013380723,0.00006664088,0.00009864086,0.00003425836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000043674823,0.00009650496,0.0001517341,0.00008426588,0.00016209934,0.00000592219,0.000091364884,0.00007941095,0.000027116068],"category_scores_gemma":[0.0002727677,0.000086919186,0.00009064436,0.00013710938,0.00013662176,0.00008232654,0.00003334638,0.000075776865,0.000013244218],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013818512,0.00018044596,0.00019844197,0.000013121456,0.000009073148,0.0000019336364,0.000008380746,0.003201823,0.899763,0.095450744,0.000021526359,0.0010133263],"study_design_scores_gemma":[0.00038976833,0.00042731804,0.01456833,0.0000047964563,0.00001530299,0.0000326607,0.0000020692628,0.734534,0.06712914,0.18277653,0.000011553397,0.00010851883],"about_ca_topic_score_codex":0.000004565366,"about_ca_topic_score_gemma":0.000004321613,"teacher_disagreement_score":0.83263385,"about_ca_system_score_codex":0.0000329442,"about_ca_system_score_gemma":0.000037076392,"threshold_uncertainty_score":0.35444614},"labels":[],"label_agreement":null},{"id":"W1967029134","doi":"10.1007/s10827-009-0149-3","title":"Maximum decoding abilities of temporal patterns and synchronized firings: application to auditory neurons responding to click trains and amplitude modulated white noise","year":2009,"lang":"en","type":"article","venue":"Journal of Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Auditory cortex; Stimulus (psychology); Computer science; Decoding methods; White noise; Noise (video); Neural decoding; Speech recognition; Frequency modulation; Amplitude; Amplitude modulation; Modulation (music); Neuroscience; Artificial intelligence; Algorithm; Acoustics; Physics; Psychology; Telecommunications","score_opus":0.018547993313099864,"score_gpt":0.2775302885080052,"score_spread":0.25898229519490534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967029134","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9064722,0.0000048908014,0.09021302,0.0027105354,0.00031985424,0.00022919108,0.000017476446,0.000016558295,0.000016264848],"genre_scores_gemma":[0.9955382,0.000010578248,0.0020033878,0.0023332946,0.00007734448,0.0000025988572,6.4799127e-7,0.000009352051,0.000024645671],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9982497,0.000106527346,0.0005284555,0.00038023366,0.00052293163,0.00021215597],"domain_scores_gemma":[0.9988082,0.00035690644,0.0003527009,0.000113037546,0.00014471935,0.00022441763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038609467,0.00014397333,0.00022918635,0.000600374,0.00019978221,0.00012893545,0.00023527294,0.000030514502,0.00000252212],"category_scores_gemma":[0.00069713965,0.00013388545,0.000051313662,0.00071485154,0.00013045673,0.00042768134,0.000072178365,0.0001609141,6.931866e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018061053,0.000085124804,0.0048450837,0.000023082857,0.0000011228917,0.000016212713,0.0004392801,0.1438254,0.84177625,0.0010654071,0.000044337583,0.0076981084],"study_design_scores_gemma":[0.00065054424,0.001439997,0.749428,0.00010734297,0.000011890213,0.00036236874,0.000052749638,0.2349567,0.005003513,0.007479907,0.00026435853,0.00024265789],"about_ca_topic_score_codex":0.0000023644034,"about_ca_topic_score_gemma":0.0000013697835,"teacher_disagreement_score":0.83677274,"about_ca_system_score_codex":0.000047418787,"about_ca_system_score_gemma":0.0000640312,"threshold_uncertainty_score":0.545969},"labels":[],"label_agreement":null},{"id":"W1967142880","doi":"10.1371/journal.pone.0093753","title":"Temporal-Spatial Neural Activation Patterns Linked to Perceptual Encoding of Emotional Salience","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada; University of Toronto; SickKids Foundation; Mental Health Research Canada; Hospital for Sick Children; University of British Columbia","funders":"","keywords":"Psychology; Salience (neuroscience); Magnetoencephalography; Cognitive psychology; Attentional blink; Perception; Stimulus (psychology); Neuroscience; Electroencephalography","score_opus":0.07043215583219871,"score_gpt":0.24750513835430607,"score_spread":0.17707298252210735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967142880","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99109495,1.9106562e-7,0.0072801416,0.00090855866,0.00013160858,0.00020194019,0.000016239183,0.000052410753,0.00031397026],"genre_scores_gemma":[0.9983245,0.000001677645,0.0003207479,0.0009222144,0.00021306248,0.000011338465,0.000012160527,0.000012904329,0.00018137167],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99873966,0.000094008596,0.00021191481,0.0003100411,0.00047103138,0.00017333645],"domain_scores_gemma":[0.99941665,0.00018257785,0.00010495896,0.00016548492,0.000055059063,0.0000752666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000110021945,0.00010177938,0.00014578052,0.00009588818,0.00009995473,0.000029951016,0.00016205241,0.000043301632,0.000116181865],"category_scores_gemma":[0.00066319085,0.00009669095,0.000038414644,0.00017215373,0.00003874537,0.00019449815,0.00006714773,0.00012260523,0.00003165975],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029316816,0.00025520645,0.012892668,0.000025719319,0.0000025230972,4.4905096e-7,0.00015785621,0.00015974072,0.98384684,0.00039530074,0.000012221457,0.0022221485],"study_design_scores_gemma":[0.0003804117,0.00064934284,0.24670899,0.0001686124,0.000015623304,0.0000025485892,0.000037612263,0.14510415,0.60639995,0.00026382765,0.000029841327,0.00023911157],"about_ca_topic_score_codex":0.00008179527,"about_ca_topic_score_gemma":0.000016839613,"teacher_disagreement_score":0.37744692,"about_ca_system_score_codex":0.000029387906,"about_ca_system_score_gemma":0.000010692565,"threshold_uncertainty_score":0.39429426},"labels":[],"label_agreement":null},{"id":"W1967285334","doi":"10.1016/s0306-4522(00)00353-5","title":"Corticothalamic resonance, states of vigilance and mentation","year":2000,"lang":"en","type":"review","venue":"Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":816,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Neuroscience; Thalamus; Neocortex; Thalamic reticular nucleus; Brainstem; Forebrain; Neuroscience of sleep; Inhibitory postsynaptic potential; Slow-wave sleep; Local field potential; Basal forebrain; Psychology; Electroencephalography; Central nervous system","score_opus":0.058113683182663516,"score_gpt":0.32906224790398153,"score_spread":0.270948564721318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967285334","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0055250255,0.9916089,0.00003545748,0.000027956678,0.00100273,0.0007564035,0.00014277008,0.00007654064,0.00082418276],"genre_scores_gemma":[0.0011133368,0.99743026,0.00002187888,0.00031158354,0.000024302068,0.000027419163,0.000005151325,0.000025115218,0.0010409364],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99790436,0.0001572084,0.00047774147,0.0007989032,0.00038147953,0.00028033642],"domain_scores_gemma":[0.99896145,0.0002893736,0.0003579291,0.0003039485,0.000015767098,0.00007151986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000105752144,0.00026280846,0.00061805226,0.00016923514,0.00013485114,0.00007572486,0.00035665103,0.000067432986,0.000011319894],"category_scores_gemma":[0.00019074997,0.00021146328,0.00010203159,0.0007648495,0.00041774302,0.00023489674,0.000081904815,0.00021933639,0.000011680311],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005528536,0.00003328146,0.000013671942,0.0014937948,3.761664e-7,0.000015491876,0.000013513216,0.000007541584,0.002773156,0.0006870881,0.000052977914,0.99490356],"study_design_scores_gemma":[0.00009498022,0.00015902614,0.00019335565,0.0014672432,0.000041534575,0.00013124736,9.795637e-7,0.0011485377,0.00043470634,0.0002378797,0.99584144,0.0002490605],"about_ca_topic_score_codex":0.000005497232,"about_ca_topic_score_gemma":0.0000011789128,"teacher_disagreement_score":0.99578846,"about_ca_system_score_codex":0.000025237203,"about_ca_system_score_gemma":0.00007540821,"threshold_uncertainty_score":0.8623223},"labels":[],"label_agreement":null},{"id":"W1967939301","doi":"10.1103/physreve.80.041912","title":"Dynamics of driven recurrent networks of ON and OFF cells","year":2009,"lang":"en","type":"article","venue":"Physical Review E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Stimulus (psychology); Excitatory postsynaptic potential; Physics; Amplitude; Inhibitory postsynaptic potential; Hopf bifurcation; Bifurcation; Control theory (sociology); Neuroscience; Statistical physics; Biological system; Mathematics; Computer science; Nonlinear system; Biology; Optics; Quantum mechanics; Psychology","score_opus":0.020448012849867348,"score_gpt":0.28984096635607653,"score_spread":0.2693929535062092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967939301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921165,0.002697701,0.00030972259,0.0019271411,0.00022759048,0.00050507544,0.000023651342,0.000021111206,0.0021715006],"genre_scores_gemma":[0.98033607,0.01883826,0.000012834979,0.00075195875,0.00003273817,0.0000016444508,0.0000022071479,0.0000037102623,0.000020565389],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994067,0.000052179923,0.00016020601,0.00016293317,0.0001307788,0.000087223925],"domain_scores_gemma":[0.99954873,0.00013709455,0.00012251928,0.00013760266,0.000018039887,0.000035998666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005124458,0.000073966265,0.00024474846,0.000013933141,0.000015609983,0.0000033622273,0.000071664464,0.000011628302,0.0000034669458],"category_scores_gemma":[0.000087783395,0.000054907905,0.00007555537,0.00014917318,0.00004374128,0.000031788735,0.000019772111,0.00009131072,0.0000029729815],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003387038,0.00048475774,0.000019585781,0.0005116203,0.0000026878467,0.0000018366072,0.000013428654,0.0004170904,0.19163895,0.08575083,0.00032079668,0.7208045],"study_design_scores_gemma":[0.00043088075,0.002955546,0.004175504,0.0041714935,0.000101153964,0.000004158076,0.0000021772955,0.91609764,0.047879938,0.021009209,0.0028077143,0.00036460036],"about_ca_topic_score_codex":6.415073e-7,"about_ca_topic_score_gemma":4.9757426e-7,"teacher_disagreement_score":0.9156805,"about_ca_system_score_codex":0.000009402086,"about_ca_system_score_gemma":0.00000417844,"threshold_uncertainty_score":0.22390793},"labels":[],"label_agreement":null},{"id":"W1968001663","doi":"10.1006/nimg.1999.0537","title":"Three Distinct Auditory Areas of Cortex (AI, AII, and AAF) Defined by Optical Imaging of Intrinsic Signals","year":2000,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":69,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Hospital for Sick Children","funders":"","keywords":"Tonotopy; Auditory cortex; Neuroscience; Chinchilla; Electrophysiology; Cortex (anatomy); Inferior colliculus; Stimulation; SIGNAL (programming language); Temporal cortex; Psychology; Biology; Audiology; Anatomy; Medicine; Computer science","score_opus":0.013665329590259278,"score_gpt":0.23616945332724967,"score_spread":0.22250412373699038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968001663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936934,0.00005075674,0.00041183142,0.0005065639,0.00022661987,0.00016911603,0.00006692341,0.00004698564,0.0048277625],"genre_scores_gemma":[0.99901867,0.00003964906,0.00005551012,0.0005688495,0.00006249057,0.0000039857996,0.0000050665953,0.000022266102,0.00022351414],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998658,0.0000599435,0.00032254108,0.0004365357,0.00029282758,0.00023015951],"domain_scores_gemma":[0.999093,0.00039147798,0.00011814454,0.00026649088,0.000039912702,0.00009096324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010194491,0.00016198405,0.0002472395,0.00006480004,0.00007463771,0.000034503933,0.00016892908,0.000036140962,0.00025831844],"category_scores_gemma":[0.00033016107,0.00014733356,0.00006670024,0.00020330597,0.00035866315,0.00018429173,0.000070617505,0.00019616087,0.000014763908],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095547744,0.00012981339,0.004961413,0.000040385312,0.0000021109765,0.000043557415,0.000010720943,0.000009419275,0.96732366,0.00030609066,0.0034613882,0.023615869],"study_design_scores_gemma":[0.002051237,0.00084310083,0.7055484,0.00009566129,0.000086584754,0.00026960025,0.00000907648,0.031785008,0.24826376,0.004540044,0.005858539,0.0006489698],"about_ca_topic_score_codex":0.000023319617,"about_ca_topic_score_gemma":0.0000062420454,"teacher_disagreement_score":0.71905994,"about_ca_system_score_codex":0.000010542343,"about_ca_system_score_gemma":0.000021435457,"threshold_uncertainty_score":0.6008088},"labels":[],"label_agreement":null},{"id":"W1968159975","doi":"10.3389/fnhum.2012.00288","title":"Dual processing streams in chemosensory perception","year":2012,"lang":"en","type":"article","venue":"Frontiers in Human Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Deutsche Forschungsgemeinschaft; Canadian Institutes of Health Research; Réseau en Bio-Imagerie du Quebec","keywords":"Dual (grammatical number); STREAMS; Perception; Computer science; Neuroscience; Communication; Psychology; Art; Computer network","score_opus":0.03758784890684505,"score_gpt":0.276629076859687,"score_spread":0.23904122795284197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968159975","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99473655,0.000022472437,0.0014966278,0.00011542135,0.0018922373,0.00021822905,0.0000027513443,0.00006507829,0.0014506353],"genre_scores_gemma":[0.9980954,0.000019231862,0.0002816772,0.00084566686,0.0001115791,0.000017156199,0.0000012773713,0.000017970136,0.0006100291],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99806345,0.00012195809,0.00027613246,0.00055268494,0.00036140395,0.00062435726],"domain_scores_gemma":[0.99955857,0.000024534285,0.00009486774,0.00020418515,0.00001097184,0.00010686331],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032157963,0.00016668507,0.0001644538,0.000335089,0.00022916125,0.00009285066,0.00026259653,0.00006448846,0.000011882068],"category_scores_gemma":[0.0002642418,0.00016392427,0.00003624726,0.00084542256,0.00030131786,0.0010499489,0.000083943734,0.00031955002,0.0000033940446],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001360486,0.00018652999,0.08670437,0.000016837017,6.487289e-8,0.000020859368,0.0005058963,0.00047219926,0.8957628,0.00026881095,0.0003192435,0.015728762],"study_design_scores_gemma":[0.0012395427,0.00025730242,0.7489463,0.00010807535,0.0000064832684,0.00012459829,0.00078394904,0.17846897,0.06435274,0.0019860698,0.0027994353,0.00092649256],"about_ca_topic_score_codex":0.000013011707,"about_ca_topic_score_gemma":0.0000070476526,"teacher_disagreement_score":0.83141005,"about_ca_system_score_codex":0.00014487581,"about_ca_system_score_gemma":0.0000232823,"threshold_uncertainty_score":0.66846377},"labels":[],"label_agreement":null},{"id":"W1968187292","doi":"10.1038/nrn2961","title":"Emerging concepts for the dynamical organization of resting-state activity in the brain","year":2010,"lang":"en","type":"review","venue":"Nature reviews. Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1912,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"James S. McDonnell Foundation","keywords":"Resting state fMRI; Neuroscience; Neocortex; Functional organization; Functional connectivity; Computer science; Network dynamics; Brain activity and meditation; Transmission (telecommunications); Biology; Mathematics; Electroencephalography; Telecommunications","score_opus":0.051588844510149674,"score_gpt":0.3800695795944785,"score_spread":0.32848073508432885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968187292","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00038120436,0.9859795,0.0016824648,0.0020708325,0.0035180252,0.0061038653,0.00012357524,0.000054623637,0.000085938416],"genre_scores_gemma":[0.002554963,0.9946496,0.000041693067,0.002245087,0.00012514746,0.00016701808,0.000008862571,0.00004974504,0.00015789333],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99575895,0.0012666826,0.00082805014,0.0010400175,0.0006355501,0.0004707647],"domain_scores_gemma":[0.9924379,0.0052808127,0.0011881789,0.0009384671,0.000095336625,0.000059320613],"candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0025136275,0.000465252,0.0011209361,0.00017687428,0.00045287647,0.0001620446,0.002079554,0.0003830386,0.0000044627513],"category_scores_gemma":[0.027093703,0.00023075567,0.00039714383,0.0036276856,0.0004997995,0.0002536967,0.00021360842,0.0027179068,0.000005296599],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003349829,0.00005358417,0.000004506455,0.0024748503,6.6481516e-7,0.000005602733,0.000040252075,0.00000864959,0.0084754,0.001386949,0.00034070484,0.9872055],"study_design_scores_gemma":[0.00008847566,0.000059841852,0.00009174275,0.0016893408,0.00006772642,0.000097094526,0.0000016949721,0.0016741114,0.00014512068,0.00009187536,0.99574864,0.00024434805],"about_ca_topic_score_codex":0.0000056696745,"about_ca_topic_score_gemma":0.00002460881,"teacher_disagreement_score":0.99540794,"about_ca_system_score_codex":0.00005491873,"about_ca_system_score_gemma":0.00022334924,"threshold_uncertainty_score":0.9995829},"labels":[],"label_agreement":null},{"id":"W1968299157","doi":"10.3389/neuro.09.048.2009","title":"Differential maturation of brain signal complexity in the human auditory and visual system","year":2009,"lang":"en","type":"article","venue":"Frontiers in Human Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":165,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research; James S. McDonnell Foundation","keywords":"Perception; Sensory system; SIGNAL (programming language); Psychology; Neuroscience; Human visual system model; Sensory processing; Computer science; Visual perception; Speech recognition; Artificial intelligence","score_opus":0.03730305084679353,"score_gpt":0.28326614623876695,"score_spread":0.24596309539197342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968299157","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935081,0.000005413977,0.0045859064,0.00028530357,0.0009616526,0.0003156014,0.000006133644,0.000028907689,0.0003029649],"genre_scores_gemma":[0.99922705,0.0000022360346,0.000030743893,0.0005907089,0.000081670354,0.0000065132654,0.0000021184112,0.000005731802,0.000053205218],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99816,0.00034973558,0.00033575867,0.00047453798,0.0004175036,0.00026246184],"domain_scores_gemma":[0.99955314,0.00007346875,0.00015792389,0.0001632201,0.000012981328,0.00003926819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029183397,0.0001422571,0.00019717262,0.00024018247,0.00032050267,0.00010717228,0.0003823773,0.000048559934,0.0000030597553],"category_scores_gemma":[0.00007654195,0.00011191657,0.000036875463,0.00045925632,0.0005010642,0.0002810769,0.00004995175,0.00025885733,1.6875909e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025458605,0.00011991082,0.0020001046,0.00002338057,1.5321574e-7,0.000020785747,0.00021123105,0.00012201178,0.9854079,0.010826541,0.0005364227,0.00070613873],"study_design_scores_gemma":[0.0009485181,0.00087175716,0.7909208,0.00009039848,0.0000063855878,0.00005911611,0.0003282835,0.17348601,0.026171112,0.006688596,0.000093190654,0.00033581525],"about_ca_topic_score_codex":0.000015315703,"about_ca_topic_score_gemma":0.0000151213335,"teacher_disagreement_score":0.95923674,"about_ca_system_score_codex":0.00005285642,"about_ca_system_score_gemma":0.000013225775,"threshold_uncertainty_score":0.4563825},"labels":[],"label_agreement":null},{"id":"W1968432003","doi":"10.1016/s1673-8527(08)60020-x","title":"Prepulse inhibition (PPI) of tactile startle response in recombinant congenic strains of mice: QTL mapping and comparison with acoustic PPI","year":2008,"lang":"en","type":"article","venue":"Journal of genetics and genomics/Journal of Genetics and Genomics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Douglas College; Douglas Mental Health University Institute","funders":"Canadian Institutes of Health Research","keywords":"Prepulse inhibition; Congenic; Startle response; Biology; Stimulus (psychology); Sensory gating; Genetics; Gating; Neuroscience; Gene; Psychology; Cognitive psychology","score_opus":0.031629892191192006,"score_gpt":0.24570371617754727,"score_spread":0.21407382398635527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968432003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99421793,0.00407188,0.00090547657,0.00022025761,0.00029592178,0.00022958277,0.000042507327,0.0000015760127,0.00001484033],"genre_scores_gemma":[0.9733875,0.023036532,0.0033450115,0.00007454704,0.00009112825,6.3888837e-7,0.000001069919,0.000032607375,0.00003096056],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99735105,0.00018354961,0.0015778556,0.0002607861,0.00033859766,0.0002881358],"domain_scores_gemma":[0.9968939,0.00025615506,0.002066407,0.00017639686,0.0003765065,0.00023063026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088599144,0.00026414398,0.00077193684,0.00048479217,0.00013538409,0.000054640914,0.00018371841,0.000139469,0.000004852941],"category_scores_gemma":[0.00010356409,0.00022866721,0.00011305427,0.00021024438,0.0003671939,0.000115450894,0.00010623407,0.00042919556,1.5984018e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025384263,0.00024123088,0.0064575034,0.000118060205,0.00006365428,0.000114274146,0.0020814873,0.012840741,0.9724126,0.000015548449,0.000032638927,0.0030838763],"study_design_scores_gemma":[0.014271214,0.024993937,0.34400755,0.00090440136,0.00060053804,0.013898371,0.004206297,0.059406042,0.53112906,0.0028187265,0.0025143547,0.0012494922],"about_ca_topic_score_codex":0.000008602214,"about_ca_topic_score_gemma":0.000039439856,"teacher_disagreement_score":0.4412835,"about_ca_system_score_codex":0.00009584312,"about_ca_system_score_gemma":0.00037055675,"threshold_uncertainty_score":0.93247783},"labels":[],"label_agreement":null},{"id":"W1968840857","doi":"10.1103/physreve.76.061912","title":"Phase response curves in the characterization of epileptiform activity","year":2007,"lang":"en","type":"article","venue":"Physical Review E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mental Health Research Canada; Hospital for Sick Children; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Neocortex; Phase response curve; Neuroscience; Thalamus; Phase response; Phase (matter); Characterization (materials science); Focus (optics); Stability (learning theory); Phase locking; Biological system; Statistical physics; Physics; Computer science; Psychology; Biology; Quantum mechanics","score_opus":0.0477247082053254,"score_gpt":0.36444260610632384,"score_spread":0.31671789790099847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968840857","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99696106,0.00012833496,0.00019461843,0.002050832,0.000049524675,0.0003477463,0.000010973928,0.000008894533,0.00024800998],"genre_scores_gemma":[0.99267006,0.003991692,0.0000013762963,0.0032583028,0.0000376609,0.000011401597,0.00000400512,0.000004179148,0.00002131948],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991522,0.00024452675,0.00015500683,0.00014032028,0.00019588963,0.00011208068],"domain_scores_gemma":[0.9990972,0.00057964044,0.000115551484,0.00017227152,0.000014335309,0.000020957767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090330443,0.00006497003,0.00016247621,0.000023341043,0.000027696738,0.0000056349354,0.00011501552,0.000008917579,0.000009039017],"category_scores_gemma":[0.0008640334,0.000039895785,0.00006787654,0.00037102742,0.00004115079,0.00014285035,0.0000187567,0.000107666965,0.000014224873],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013481552,0.0004373511,0.000010551409,0.0002795536,3.1789187e-7,0.0000026907653,0.000022939743,5.8828014e-8,0.94658816,0.00079827657,0.000023079376,0.051702224],"study_design_scores_gemma":[0.0010428661,0.0011521695,0.10157088,0.0035528447,0.00004505353,0.000015426749,0.0000052997116,0.0029338847,0.8676336,0.0014628288,0.020277865,0.00030732382],"about_ca_topic_score_codex":0.0000023212117,"about_ca_topic_score_gemma":0.0000013121754,"teacher_disagreement_score":0.10156033,"about_ca_system_score_codex":0.000012894381,"about_ca_system_score_gemma":0.000009952827,"threshold_uncertainty_score":0.16269028},"labels":[],"label_agreement":null},{"id":"W1968898577","doi":"10.1037/0278-7393.29.4.581","title":"Pure perceptual-based sequence learning.","year":2003,"lang":"en","type":"article","venue":"Journal of Experimental Psychology Learning Memory and Cognition","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":146,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg; University of Manitoba","funders":"","keywords":"Sequence (biology); Sequence learning; Perception; Implicit learning; Probabilistic logic; Uncorrelated; Artificial intelligence; Computer science; Dimension (graph theory); Perceptual learning; Pattern recognition (psychology); Psychology; Mathematics; Cognition; Combinatorics; Biology; Statistics; Neuroscience","score_opus":0.0558059941276275,"score_gpt":0.33486500925434903,"score_spread":0.27905901512672154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968898577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916276,0.0001933232,0.0004200157,0.00026902076,0.00056637416,0.00007628898,6.5326424e-7,0.000027221084,0.006819507],"genre_scores_gemma":[0.99756765,0.000069698166,0.00013625287,0.0017697015,0.00007735243,0.000003826826,0.0000023992002,0.0000150253445,0.0003580928],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985047,0.0006042249,0.000272835,0.00024573077,0.00019377208,0.00017875894],"domain_scores_gemma":[0.9993456,0.00014686813,0.00029648747,0.00006091505,0.000056399705,0.000093708855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035752723,0.00013295049,0.00016638155,0.00013548745,0.00028598862,0.00004244892,0.00007375576,0.00009667756,0.00035379414],"category_scores_gemma":[0.0004486551,0.00011916951,0.000080558515,0.00013428382,0.00019118357,0.00023349629,0.000010129194,0.00066944613,0.000024933444],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021059162,0.0001471294,0.00032021847,0.0000050127696,0.000005060157,0.00010446682,0.0002965069,0.00020959343,0.99470484,0.00019605822,0.00007802892,0.0037225075],"study_design_scores_gemma":[0.003963508,0.00496511,0.001489057,0.0001082817,0.000044527307,0.004728529,0.0035023796,0.0007309707,0.97311836,0.0012718051,0.005660967,0.00041651982],"about_ca_topic_score_codex":3.4497674e-7,"about_ca_topic_score_gemma":1.0525922e-7,"teacher_disagreement_score":0.021586481,"about_ca_system_score_codex":0.00002335361,"about_ca_system_score_gemma":0.000023278433,"threshold_uncertainty_score":0.48595917},"labels":[],"label_agreement":null},{"id":"W1968935713","doi":"10.1121/1.4708912","title":"Acoustic motion processing in auditory cortex","year":2012,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Stimulus (psychology); Auditory cortex; Extrastriate cortex; Neuroscience; Visual cortex; Computer science; Acoustics; Psychology; Physics; Cognitive psychology","score_opus":0.01883986015847416,"score_gpt":0.25877475819510015,"score_spread":0.239934898036626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968935713","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.715867,0.00024440873,0.27604938,0.005235828,0.0020529055,0.00023755124,0.0000055120568,0.000018141212,0.00028925916],"genre_scores_gemma":[0.99675417,0.00014050462,0.0009993785,0.0016468015,0.00037948223,5.785558e-7,6.342301e-8,0.000009849155,0.00006917811],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99874884,0.00018367416,0.00032785322,0.000067429886,0.00043215483,0.00024003095],"domain_scores_gemma":[0.9988625,0.0004096724,0.0004637131,0.00014174166,0.000061079525,0.00006128993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000561831,0.000090101385,0.0001744667,0.000018164605,0.00015117788,0.0000122270085,0.00035289928,0.000045808432,0.000020936368],"category_scores_gemma":[0.00056817353,0.00004572494,0.00017519086,0.00033889856,0.0004215989,0.0001993727,0.00009082649,0.00044810938,0.0000034880327],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006433224,0.00019371376,0.0003411556,0.000036032863,0.0000054746656,5.093143e-7,0.0005321581,0.010917995,0.9639581,0.00000463075,0.0035011957,0.020444723],"study_design_scores_gemma":[0.00070868025,0.00036569475,0.06828329,0.00019875118,0.00024809467,0.00026837937,0.0019112764,0.9123522,0.012843998,0.0012729357,0.00130507,0.00024159598],"about_ca_topic_score_codex":0.000007573954,"about_ca_topic_score_gemma":1.9989243e-7,"teacher_disagreement_score":0.95111406,"about_ca_system_score_codex":0.00007730919,"about_ca_system_score_gemma":0.00004460527,"threshold_uncertainty_score":0.19468372},"labels":[],"label_agreement":null},{"id":"W1969102647","doi":"10.1016/j.ics.2007.01.057","title":"Auditory evoked MEG responses to interaural phase changes: Effects of aging on response latencies","year":2007,"lang":"en","type":"article","venue":"International Congress Series","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital","funders":"Canadian Institutes of Health Research; National Institutes of Health; National Institute for Health and Care Research; Fondation Pour l'Audition","keywords":"Audiology; Magnetoencephalography; Psychology; Phase (matter); Neuroscience; Electroencephalography; Medicine; Physics","score_opus":0.02686008270019696,"score_gpt":0.32081306944722326,"score_spread":0.2939529867470263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969102647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98756915,0.000014323712,0.00012295993,0.003136861,0.008242351,0.00021849986,0.000051702926,0.00007829357,0.00056587014],"genre_scores_gemma":[0.98965937,0.000014528157,0.000051469444,0.001198432,0.00026107693,0.000020197549,0.0000043454365,0.000017875618,0.008772712],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985923,0.0001700843,0.0002446524,0.0003153263,0.00045672857,0.00022091929],"domain_scores_gemma":[0.99749154,0.001946244,0.00014599746,0.00018068576,0.00015519698,0.00008031449],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041614153,0.0001596773,0.00015789669,0.00041611248,0.00009989326,0.000066518594,0.00032422083,0.000046129906,0.000043057786],"category_scores_gemma":[0.0033293061,0.0001420941,0.00006023248,0.00018804142,0.00014983414,0.00027379874,0.00011652748,0.0001309596,0.000028115028],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.01183522,0.0001038637,0.0002513062,0.000024782477,0.000014799188,0.00017998535,0.0005822845,0.000022349608,0.98085517,0.002102265,0.00096313,0.003064842],"study_design_scores_gemma":[0.0008038229,0.0014512622,0.010271112,0.0002158587,0.000005940897,0.000034266144,0.00012414849,0.00015642136,0.9676898,0.00020311195,0.018876018,0.00016820898],"about_ca_topic_score_codex":0.000012071827,"about_ca_topic_score_gemma":0.000038542305,"teacher_disagreement_score":0.017912889,"about_ca_system_score_codex":0.00009983758,"about_ca_system_score_gemma":0.000028138118,"threshold_uncertainty_score":0.5794429},"labels":[],"label_agreement":null},{"id":"W1969189401","doi":"10.1016/j.bbr.2010.03.048","title":"Acoustic tone or medial geniculate stimulation cue training in the rat is associated with neocortical neuroplasticity and reduced akinesia under haloperidol challenge","year":2010,"lang":"en","type":"article","venue":"Behavioural Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Calgary","keywords":"Neuroplasticity; Neuroscience; Psychology; Auditory cortex; Medial geniculate body; Stimulation; Sensory system; Haloperidol; Dopaminergic; Inferior colliculus; Dopamine","score_opus":0.18764896797322791,"score_gpt":0.39010922279800553,"score_spread":0.2024602548247776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969189401","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98981744,0.000002495091,0.000056654,0.008878221,0.000286286,0.0008141571,0.000014536057,0.000048294794,0.000081917075],"genre_scores_gemma":[0.9987087,0.000007841671,0.000024120023,0.00069523044,0.00011947208,0.000071878996,0.00001208236,0.000034732697,0.000325909],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99651396,0.00080723607,0.0003011895,0.00063836446,0.001048714,0.0006905233],"domain_scores_gemma":[0.99613166,0.0032216408,0.00006518336,0.00028641024,0.00013149917,0.00016362163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012846343,0.0002136466,0.00022752705,0.00020200633,0.00045591028,0.00024633305,0.0003151955,0.00017113224,0.000112353046],"category_scores_gemma":[0.0037297094,0.0001286026,0.000039847397,0.00082411483,0.0004872197,0.00025036052,0.00011984978,0.0014669342,0.000008369456],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054100476,0.00024248335,0.002325655,0.0000098811415,0.0000040161626,0.0004874197,0.0016855751,0.000268743,0.9913873,0.00063327386,0.00014644586,0.002268166],"study_design_scores_gemma":[0.0045670923,0.0022300074,0.81438804,0.00009839553,0.000056716643,0.00059967546,0.00087888894,0.16465516,0.010870723,0.0009021197,0.00007052919,0.00068263366],"about_ca_topic_score_codex":0.00008844488,"about_ca_topic_score_gemma":0.0018261878,"teacher_disagreement_score":0.9805166,"about_ca_system_score_codex":0.000054404594,"about_ca_system_score_gemma":0.00017366168,"threshold_uncertainty_score":0.6373181},"labels":[],"label_agreement":null},{"id":"W1969402115","doi":"10.1080/17470218.2011.630478","title":"Context-specific control in the single-prime negative-priming procedure","year":2012,"lang":"en","type":"article","venue":"Quarterly Journal of Experimental Psychology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Priming (agriculture); Context (archaeology); Contingency; Control (management); Prime (order theory); Psychology; Negative priming; Cognitive psychology; Computer science; Perception; Context effect; Artificial intelligence; Cognition; Neuroscience; Mathematics; Word (group theory); Linguistics; Biology","score_opus":0.059014773984821856,"score_gpt":0.32538448009077015,"score_spread":0.2663697061059483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969402115","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99271494,0.0009886932,0.0006783554,0.0019714285,0.0017019731,0.00024261331,0.000002473722,0.000010038872,0.0016894924],"genre_scores_gemma":[0.99309856,0.000009176895,0.00006691392,0.0063770125,0.00040145504,0.000009611733,3.2150587e-7,0.000015806821,0.000021164613],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99821657,0.00042560845,0.0005111835,0.00019914185,0.0002703929,0.00037712624],"domain_scores_gemma":[0.999029,0.00030185955,0.0003606208,0.00018298916,0.000034377616,0.000091173846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004469903,0.00016687252,0.0002494376,0.00015278661,0.000105522646,0.000056454344,0.00037898668,0.00007798948,0.0000899411],"category_scores_gemma":[0.000049704384,0.000112167385,0.00012059132,0.00019254017,0.00017312705,0.0004932678,0.000007634753,0.00039362753,0.000033562068],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038014905,0.00081417663,0.00054291345,0.0000014258003,0.0000055035493,0.000039094717,0.0052421745,6.497407e-7,0.98213685,0.0018413643,0.0009269424,0.008068788],"study_design_scores_gemma":[0.02127152,0.025192704,0.04259212,0.00017478545,0.000050173574,0.01386941,0.039957844,0.00034326033,0.8225737,0.0046984246,0.028079033,0.0011969842],"about_ca_topic_score_codex":0.0000024262547,"about_ca_topic_score_gemma":0.0000014729821,"teacher_disagreement_score":0.15956308,"about_ca_system_score_codex":0.00005971753,"about_ca_system_score_gemma":0.00001400091,"threshold_uncertainty_score":0.45740533},"labels":[],"label_agreement":null},{"id":"W1969416477","doi":"10.1088/0954-898x_11_1_302","title":"Learning with two sites of synaptic integration","year":2000,"lang":"en","type":"article","venue":"Network Computation in Neural Systems","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":104,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; University of Lethbridge","keywords":"Neuroscience; Psychology","score_opus":0.01935416314428786,"score_gpt":0.24860863884311404,"score_spread":0.22925447569882618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969416477","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951564,0.00004501532,0.002402193,0.00005793602,0.00030950428,0.00031222985,9.823559e-7,0.00007863857,0.0016371015],"genre_scores_gemma":[0.9993685,0.0000105941635,0.00008744808,0.00006654304,0.00013584585,0.000017494083,0.000012704209,0.000012758713,0.00028810487],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99860775,0.00032512585,0.00034536395,0.00027015357,0.00025622046,0.00019538918],"domain_scores_gemma":[0.999363,0.0003154304,0.00016459016,0.00007884771,0.000044413377,0.000033687436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017597366,0.000120275254,0.00018902736,0.000075249714,0.0000956423,0.00006182411,0.00008290419,0.00003988591,0.000025425428],"category_scores_gemma":[0.000034323275,0.00009638397,0.00002934446,0.0006047817,0.000047411788,0.00018388583,0.000010004965,0.0002074754,0.000016495183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008960971,0.000018236049,0.0037700438,0.000017240269,0.0000021648739,0.000008265715,0.00008534834,0.97047895,0.007140833,0.0005808723,0.000040103438,0.017768305],"study_design_scores_gemma":[0.00040055628,0.00037473097,0.0024678693,0.000099883735,0.0000045341667,0.000045621593,0.00003202709,0.9960518,0.00020429974,0.00012780646,0.00008527165,0.00010559538],"about_ca_topic_score_codex":0.000093965165,"about_ca_topic_score_gemma":0.00003865601,"teacher_disagreement_score":0.025572825,"about_ca_system_score_codex":0.000033901255,"about_ca_system_score_gemma":0.000010039697,"threshold_uncertainty_score":0.39304245},"labels":[],"label_agreement":null},{"id":"W1969500491","doi":"10.1016/j.neunet.2011.05.004","title":"Persistent storage capability impairs decision making in a biophysical network model","year":2011,"lang":"en","type":"article","venue":"Neural Networks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Canadian Institutes of Health Research","funders":"Canadian Institutes of Health Research","keywords":"Computer science; Neuroscience; Stimulus (psychology); Afferent; Information processing; Cognitive psychology; Psychology","score_opus":0.04076601057948432,"score_gpt":0.2536994357133138,"score_spread":0.2129334251338295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969500491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9842912,0.000029848794,0.013294397,0.000064913336,0.00095301593,0.00033202182,0.0000036762654,0.000115399205,0.0009155411],"genre_scores_gemma":[0.9980816,0.000015402686,0.0005639954,0.0010054954,0.00023513653,0.000021951833,0.0000018648598,0.000030188372,0.00004433646],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978293,0.00016517236,0.00035893978,0.00071277574,0.00028466206,0.00064915547],"domain_scores_gemma":[0.9990596,0.00027940675,0.00010976278,0.0004045003,0.000025140229,0.00012157224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002451803,0.00024637894,0.00026370023,0.00006972081,0.00018807703,0.000052906016,0.0003256564,0.00014121778,0.00004950309],"category_scores_gemma":[0.00011455189,0.00021175272,0.00023475455,0.0005555748,0.00012232526,0.00025989691,0.00018709913,0.00053936645,0.000011157033],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038153122,0.00015648977,0.0024145034,0.0000063126863,0.000002298422,0.00006151349,0.0001701232,0.98022974,0.0025316298,0.0008760095,0.00031406412,0.012855792],"study_design_scores_gemma":[0.00026382087,0.0001762341,0.008372069,0.00003574931,0.000009010787,0.000019808554,0.000012942787,0.98796505,0.000056065852,0.0028566818,0.000012093302,0.00022049983],"about_ca_topic_score_codex":0.000025044832,"about_ca_topic_score_gemma":0.0000619319,"teacher_disagreement_score":0.013790442,"about_ca_system_score_codex":0.00011033865,"about_ca_system_score_gemma":0.000015179206,"threshold_uncertainty_score":0.8635025},"labels":[],"label_agreement":null},{"id":"W1969692542","doi":"10.1167/8.8.6","title":"Biological motion perception is cue-invariant","year":2008,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; McGill University","funders":"","keywords":"Stimulus (psychology); Biological motion; Perception; Psychophysics; Motion perception; Invariant (physics); Communication; Motion (physics); Mathematics; Psychology; Computer vision; Computer science; Cognitive psychology; Neuroscience","score_opus":0.05845992147004281,"score_gpt":0.2964278642040559,"score_spread":0.23796794273401312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969692542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99515444,0.000013001003,0.0027165418,0.0011250105,0.00061042845,0.000046295936,0.0000018022794,0.000012726256,0.00031972516],"genre_scores_gemma":[0.9976779,0.0006072047,0.00030461518,0.0010127184,0.00023738483,2.580084e-7,5.792607e-7,0.000005295046,0.00015403415],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990992,0.0000996812,0.00027452692,0.0001342964,0.00028444582,0.00010787176],"domain_scores_gemma":[0.9995008,0.00006837953,0.0002179852,0.00007988294,0.00006846894,0.000064493215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021669678,0.000071974755,0.00011818185,0.00010254718,0.00015293181,0.0000212861,0.000104686245,0.000066303204,0.00018864796],"category_scores_gemma":[0.00023214243,0.00004666527,0.00011085283,0.00014518098,0.000049062262,0.0002831379,0.000025748237,0.00018826235,0.00006441388],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000810096,0.000100149795,0.0005254344,0.0000019134457,0.0000010497021,0.00007217614,0.000099917524,0.000037068494,0.98283523,0.0001256609,0.0019110738,0.014209303],"study_design_scores_gemma":[0.002252701,0.005831961,0.8142524,0.00016955727,0.00002639962,0.008796685,0.00012482014,0.033200663,0.11816909,0.0067258882,0.009994977,0.00045488222],"about_ca_topic_score_codex":0.0000019615554,"about_ca_topic_score_gemma":1.2687418e-7,"teacher_disagreement_score":0.86466616,"about_ca_system_score_codex":0.000044683566,"about_ca_system_score_gemma":0.000014539558,"threshold_uncertainty_score":0.20655628},"labels":[],"label_agreement":null},{"id":"W1969870671","doi":"10.1016/j.jtbi.2005.10.009","title":"Estimating conductances of dual-recorded neurons within a network of coupled cells","year":2005,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"University of Ottawa","keywords":"Conductance; Gap junction; Intracellular; Biological system; Electrophysiology; Coupling (piping); Dual (grammatical number); Postsynaptic potential; Biophysics; Computer science; Chemistry; Neuroscience; Physics; Biology; Materials science; Cell biology; Receptor","score_opus":0.01884831186450959,"score_gpt":0.2746905139548175,"score_spread":0.2558422020903079,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969870671","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99416286,0.000035572153,0.003078955,0.00096771383,0.0012042306,0.00007071806,0.0000075384905,0.0000059912413,0.0004664204],"genre_scores_gemma":[0.99211204,0.000023013914,0.007204503,0.00033651557,0.0003002511,5.365744e-7,3.9402084e-7,0.000007650371,0.000015090081],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985742,0.0002657531,0.00070977764,0.00013755803,0.00012261803,0.00019007751],"domain_scores_gemma":[0.9977727,0.0011372506,0.000798233,0.00011170757,0.00011327582,0.00006684219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005773806,0.00010005653,0.0003734901,0.00005045219,0.000040557985,0.000007290895,0.00019544587,0.000076750875,0.0001600793],"category_scores_gemma":[0.0013965156,0.00006674698,0.000118237105,0.00016949317,0.0008006373,0.000064255975,0.00004961132,0.0002541292,0.0000031555624],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018435219,0.000066434324,0.00011779185,0.000008299367,0.000007614974,0.000005495719,0.00003573917,0.007340141,0.75910497,0.23230585,0.000083043655,0.000740249],"study_design_scores_gemma":[0.0008732841,0.0022758543,0.0001303444,0.0000861711,0.000047859652,0.0002816157,0.00003084233,0.34192282,0.4550333,0.19903603,0.00012880488,0.00015307705],"about_ca_topic_score_codex":0.0000015750993,"about_ca_topic_score_gemma":8.885864e-7,"teacher_disagreement_score":0.33458266,"about_ca_system_score_codex":0.0000123753325,"about_ca_system_score_gemma":0.000041625557,"threshold_uncertainty_score":0.29499817},"labels":[],"label_agreement":null},{"id":"W1969918166","doi":"10.3389/fnhum.2014.00453","title":"Neuromagnetic Vistas into Typical and Atypical Development of Frontal Lobe Functions","year":2014,"lang":"en","type":"review","venue":"Frontiers in Human Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children; SickKids Foundation; University of Toronto","funders":"","keywords":"Frontal lobe; Psychology; Neuroscience; Lobe; Anatomy; Medicine","score_opus":0.04149872488046494,"score_gpt":0.3020530503955525,"score_spread":0.2605543255150876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969918166","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034580383,0.88420624,0.05795357,0.00013997295,0.017707992,0.0040039313,0.00009368107,0.00035613304,0.0009581174],"genre_scores_gemma":[0.03712462,0.9554966,0.0041284105,0.0006225554,0.00025418386,0.0002301632,0.00003865129,0.00017907303,0.0019257319],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962075,0.00039112638,0.0010176548,0.0013728114,0.000510226,0.0005006769],"domain_scores_gemma":[0.99870205,0.00017737439,0.00040932518,0.00048609657,0.000023559069,0.00020159685],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00029993113,0.0004841531,0.0012227674,0.0005729823,0.00043353823,0.00011706478,0.00075805414,0.000216932,0.00001513571],"category_scores_gemma":[0.0005586802,0.00042619556,0.00018581322,0.0008189844,0.0009333288,0.0001823041,0.00041613006,0.0006621643,0.000006229544],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013257706,0.00038503576,0.00020767546,0.0052527827,0.000005282471,0.000079100704,0.00019603859,0.000031926742,0.005681801,0.0021495346,0.0021425462,0.9837357],"study_design_scores_gemma":[0.0002994324,0.00041617182,0.0013794401,0.0011090958,0.00007358926,0.000089982124,0.000011461701,0.0021788543,0.00007560779,0.00039268838,0.9933644,0.0006092772],"about_ca_topic_score_codex":0.0000024006251,"about_ca_topic_score_gemma":0.0000108799895,"teacher_disagreement_score":0.99122185,"about_ca_system_score_codex":0.00013047528,"about_ca_system_score_gemma":0.00018263442,"threshold_uncertainty_score":0.999819},"labels":[],"label_agreement":null},{"id":"W1969948662","doi":"10.1016/j.neuroscience.2014.01.014","title":"Investigating a race model account of executive control in rats with the countermanding paradigm","year":2014,"lang":"en","type":"article","venue":"Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science; Queen's University","keywords":"Stop signal; Stimulus (psychology); Psychology; Lever; Response inhibition; Inhibitory control; Primate; Neuroscience; Cognitive psychology; Computer science; Cognition","score_opus":0.027259119334670696,"score_gpt":0.25131380670797276,"score_spread":0.22405468737330206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969948662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9786978,0.000003423658,0.017977906,0.0017352183,0.00017174006,0.00029538036,0.0000072069656,0.00002836307,0.0010830048],"genre_scores_gemma":[0.992822,0.000005862491,0.00003668844,0.006980877,0.000015866857,0.000020547212,1.4559815e-7,0.000010253905,0.000107769796],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984893,0.00014877979,0.00019020856,0.00043316145,0.00045129255,0.00028725213],"domain_scores_gemma":[0.9990516,0.00042883912,0.00018994937,0.00025273283,0.00002330415,0.000053610816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044633355,0.00012994958,0.00016040305,0.000076280936,0.00021075313,0.0000931063,0.00045405753,0.000025418829,7.5438436e-7],"category_scores_gemma":[0.00055567565,0.000080468875,0.000026521857,0.00055958185,0.0005134041,0.00036716548,0.0000833053,0.00021022123,0.0000016224724],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023959352,0.000023329352,0.002003681,0.0000074144996,1.8216961e-7,0.0000030391545,0.0002413393,0.049694806,0.9385178,0.009192598,0.00006365111,0.00022818334],"study_design_scores_gemma":[0.00038717396,0.00013950333,0.0038252114,0.000032183856,0.000003426063,0.000017923274,0.000017350285,0.9652748,0.028643567,0.0013615605,0.00019419579,0.000103069644],"about_ca_topic_score_codex":0.000014393326,"about_ca_topic_score_gemma":0.000019235094,"teacher_disagreement_score":0.91558003,"about_ca_system_score_codex":0.000025861917,"about_ca_system_score_gemma":0.000052400046,"threshold_uncertainty_score":0.32814255},"labels":[],"label_agreement":null},{"id":"W1969958503","doi":"10.1016/j.jneumeth.2008.06.014","title":"Effects of estrous stage and time of day on prepulse inhibition in female rats","year":2008,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Prepulse inhibition; Habituation; Estrous cycle; Startle response; Offspring; Internal medicine; Psychology; Moro reflex; Endocrinology; Neuroscience; Reflex; Medicine; Biology; Schizophrenia (object-oriented programming)","score_opus":0.04712523617130761,"score_gpt":0.3402411179666767,"score_spread":0.2931158817953691,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969958503","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99570566,0.000019713016,0.0034855707,0.00007063629,0.00043868655,0.00015634455,0.000003200315,0.000004868006,0.00011530495],"genre_scores_gemma":[0.9964705,0.00013520531,0.002889763,0.0002641936,0.000023074464,0.0000012546789,5.195516e-8,0.000008453458,0.00020747962],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977961,0.0008763192,0.0004924856,0.0002466182,0.00041726392,0.00017119132],"domain_scores_gemma":[0.99790144,0.0012370426,0.00059261796,0.00013227433,0.000054730346,0.000081916194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012187206,0.000112667534,0.0003100475,0.00033962374,0.00006857726,0.000014406689,0.000140845,0.000041716678,0.000002769323],"category_scores_gemma":[0.0035354602,0.000088371475,0.00007276739,0.000596016,0.00032107485,0.00035113373,0.000057422367,0.00024237689,4.5537348e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000921533,0.00017636141,0.0005222275,0.000039555314,3.6522832e-7,0.00021460782,0.00017836642,0.0006359992,0.99545914,0.000106235544,0.0000063829903,0.002568579],"study_design_scores_gemma":[0.00042182577,0.0015265124,0.052769028,0.00007940676,0.000005066049,0.00032207838,0.0000064134983,0.005075768,0.93948025,0.00020787625,0.00003802132,0.00006773368],"about_ca_topic_score_codex":0.0000031024715,"about_ca_topic_score_gemma":1.8844852e-7,"teacher_disagreement_score":0.055978894,"about_ca_system_score_codex":0.000022503957,"about_ca_system_score_gemma":0.000056211502,"threshold_uncertainty_score":0.42325315},"labels":[],"label_agreement":null},{"id":"W1970397428","doi":"10.1523/jneurosci.3972-13.2014","title":"GABA Predicts Time Perception","year":2014,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"Wellcome Trust; Cogito Foundation","keywords":"Visual cortex; Neurochemical; Time perception; Neuroscience; Psychology; Perception; Visual perception; Functional magnetic resonance imaging; Sensory system; Cognition; Visual processing; Audiology; Medicine","score_opus":0.024358371061817586,"score_gpt":0.25096958353530746,"score_spread":0.22661121247348986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970397428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99158365,0.0000021488106,0.0033283755,0.001071252,0.00164603,0.00005991931,0.0000025858474,0.00002746931,0.0022785568],"genre_scores_gemma":[0.9955541,0.00002725227,0.0001201613,0.003001553,0.00024961185,4.910016e-7,8.523619e-8,0.000009050123,0.0010376889],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985467,0.00014978868,0.00029627266,0.00022657715,0.00057108194,0.00020953878],"domain_scores_gemma":[0.9991832,0.00015647255,0.0003041838,0.00015061593,0.000067928115,0.00013760391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044896128,0.00009582507,0.00013743501,0.00014566978,0.00015995858,0.00010183061,0.00039429124,0.000031303676,0.000033734792],"category_scores_gemma":[0.0017838307,0.000072450304,0.00008768531,0.0003514128,0.0001498983,0.000587446,0.000051304134,0.00021948827,0.00006742122],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016930537,0.00003883447,0.000104986626,0.000002633063,1.2961657e-7,0.000014429222,0.000023678278,0.00024408124,0.9940352,0.00023288075,0.0007127157,0.00457353],"study_design_scores_gemma":[0.0017542709,0.0055331504,0.24629791,0.00012729566,0.000039881033,0.0055321148,0.000028738586,0.48120698,0.15169996,0.0050499807,0.102060206,0.00066951214],"about_ca_topic_score_codex":4.4908668e-7,"about_ca_topic_score_gemma":1.5568685e-7,"teacher_disagreement_score":0.8423352,"about_ca_system_score_codex":0.00002747149,"about_ca_system_score_gemma":0.00003231029,"threshold_uncertainty_score":0.29544374},"labels":[],"label_agreement":null},{"id":"W1970641496","doi":"10.1007/s11336-007-9032-1","title":"From Zero to Sixty: Calibrating Real-Time Responses","year":2007,"lang":"en","type":"article","venue":"Psychometrika","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Calibration; Covariate; Simple (philosophy); Data analysis; Algorithm; Data mining; Machine learning; Mathematics; Statistics","score_opus":0.04009501545563048,"score_gpt":0.3137268107668351,"score_spread":0.27363179531120463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970641496","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9765705,0.0000104030705,0.0048007346,0.00091324066,0.0010325323,0.00020709565,0.0000584882,0.0002109104,0.016196093],"genre_scores_gemma":[0.9879304,0.000019721108,0.0019483237,0.0025637296,0.00035607914,0.00000611911,0.000006404821,0.0000338956,0.0071353205],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99829346,0.000090122034,0.00029156744,0.00055786344,0.0003734342,0.00039354307],"domain_scores_gemma":[0.99701715,0.002283976,0.00008501376,0.00036985188,0.000027437018,0.00021657454],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00047892795,0.000152668,0.0001667575,0.0005527621,0.00015551958,0.00011219524,0.0002601733,0.00007225547,0.00029389028],"category_scores_gemma":[0.002855802,0.00014012365,0.00006719774,0.0021149192,0.000034587047,0.00016780641,0.000048828904,0.000142333,0.0007906792],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000279739,0.000049361257,0.0010480115,0.0000018732059,0.0000024854958,0.000018300212,0.00010832142,0.0000049543883,0.9756244,0.00037400803,0.0035572613,0.018931307],"study_design_scores_gemma":[0.0010661823,0.00070374884,0.08283024,0.000057597026,0.000017270742,0.000025516003,0.00009630852,0.0007581815,0.83217734,0.0047383,0.076734245,0.0007950827],"about_ca_topic_score_codex":0.000116499075,"about_ca_topic_score_gemma":0.000007868343,"teacher_disagreement_score":0.14344704,"about_ca_system_score_codex":0.00004690243,"about_ca_system_score_gemma":0.000014874831,"threshold_uncertainty_score":0.9999873},"labels":[],"label_agreement":null},{"id":"W1970727835","doi":"10.1016/j.heares.2011.02.002","title":"Passive exposure of adult cats to bandlimited tone pip ensembles or noise leads to long-term response suppression in auditory cortex","year":2011,"lang":"en","type":"article","venue":"Hearing Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Heritage Foundation for Medical Research","keywords":"Auditory cortex; Stimulus (psychology); Narrowband; Noise (video); Inferior colliculus; Physics; Octave (electronics); Acoustics; Audiology; Neuroscience; Psychology; Medicine; Optics","score_opus":0.13998319398995054,"score_gpt":0.38394749986415483,"score_spread":0.24396430587420428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970727835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979103,0.0000057589564,0.000030253255,0.0006883373,0.00040593772,0.0006933948,0.0000146708635,0.000037846312,0.00021348133],"genre_scores_gemma":[0.9962825,0.000024913694,0.00008915107,0.00023506969,0.00008440219,0.00008765009,0.0000021248818,0.00003078259,0.0031633754],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99685633,0.0007311141,0.00034055117,0.0006310928,0.0008096665,0.0006312426],"domain_scores_gemma":[0.9977088,0.0011253285,0.000053246695,0.0005268827,0.00029782482,0.00028789142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008383547,0.0001525424,0.00023355376,0.00075234607,0.00019982971,0.0000461202,0.0003807196,0.0001192891,0.00013226166],"category_scores_gemma":[0.004439142,0.00012380365,0.00004552185,0.0011299421,0.00011949617,0.00015250627,0.0003954811,0.00047674187,0.000111089226],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008877081,0.00020277541,0.035745785,0.00006856969,0.0000016065279,0.00028651176,0.0013980165,0.000026555816,0.94994354,0.00003710193,0.00095784763,0.0024546334],"study_design_scores_gemma":[0.00035495614,0.0010438847,0.5911579,0.00023950508,0.0000013278141,0.00001244653,0.000045902554,0.0001272563,0.40685537,0.000018641698,0.00003893856,0.00010386931],"about_ca_topic_score_codex":0.0003884197,"about_ca_topic_score_gemma":0.0005226098,"teacher_disagreement_score":0.5554121,"about_ca_system_score_codex":0.00014417431,"about_ca_system_score_gemma":0.00015400749,"threshold_uncertainty_score":0.5314389},"labels":[],"label_agreement":null},{"id":"W1971131589","doi":"10.1186/1471-2202-10-s1-p286","title":"Emergent phenomena in human EEG: a bifurcation theory approach","year":2009,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Cognitive science; The arts; Cognitive neuroscience; Electroencephalography; Cognition; Neuroscience; Psychology; Library science; Computer science; Art","score_opus":0.05604311523162177,"score_gpt":0.2848071802392199,"score_spread":0.22876406500759816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971131589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97257257,0.000015580079,0.010263163,0.00025797496,0.0006437533,0.00048122578,0.0000040609207,0.0001494259,0.015612228],"genre_scores_gemma":[0.9957286,0.000016175638,0.00012685706,0.0027035233,0.000066354536,0.000020979098,0.0000016826493,0.000010586742,0.0013252023],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99790907,0.00022816296,0.00027754263,0.0007907067,0.000391719,0.00040280586],"domain_scores_gemma":[0.9993383,0.00007201584,0.00010657731,0.0003695364,0.000015803034,0.000097761826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042503892,0.00016457288,0.00013193456,0.00022378504,0.0002778062,0.000099963945,0.00048524796,0.00003726697,0.000016077418],"category_scores_gemma":[0.00043657067,0.00014674487,0.00005543903,0.0011137951,0.00014515342,0.00038210594,0.00006270583,0.00017818804,0.000015640047],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017113676,0.00023006099,0.00041305408,0.0000058040423,5.140564e-8,0.000004444927,0.000078631965,0.0014563322,0.93135035,0.0628165,0.000032877786,0.0035947536],"study_design_scores_gemma":[0.0019129632,0.0015177015,0.44819337,0.000054148924,0.00001426169,0.00012476687,0.00017728745,0.28422445,0.18434206,0.07260347,0.0053704577,0.001465064],"about_ca_topic_score_codex":0.000005467343,"about_ca_topic_score_gemma":0.000003886398,"teacher_disagreement_score":0.7470083,"about_ca_system_score_codex":0.000051151823,"about_ca_system_score_gemma":0.00003557535,"threshold_uncertainty_score":0.5984082},"labels":[],"label_agreement":null},{"id":"W1971716574","doi":"10.1016/j.intell.2013.10.003","title":"A spiking neural model applied to the study of human performance and cognitive decline on Raven's Advanced Progressive Matrices","year":2013,"lang":"en","type":"article","venue":"Intelligence","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Raven's Progressive Matrices; Neurophysiology; Cognition; Artificial intelligence; Computer science; Task (project management); Human intelligence; Psychology; Spiking neural network; Artificial neural network; Machine learning; Neuroscience","score_opus":0.03828880499321415,"score_gpt":0.30919362142008194,"score_spread":0.2709048164268678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971716574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966903,0.000011541416,0.0012081976,0.00015079675,0.000073285104,0.0014295179,0.00000354941,0.000026700158,0.00040612495],"genre_scores_gemma":[0.99897826,0.000011356432,0.00006416263,0.0006449772,0.00002488132,0.00019565057,5.8135294e-7,0.000011670142,0.000068474954],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989277,0.000036160214,0.00022607288,0.0003612512,0.00026102958,0.00018779607],"domain_scores_gemma":[0.99934584,0.00021603638,0.00014078752,0.00017040026,0.00007597794,0.000050943516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000095254734,0.00013554217,0.00013516835,0.00007379681,0.00021748275,0.00006303138,0.00024820503,0.000021919472,0.000011731122],"category_scores_gemma":[0.000114485236,0.00008859896,0.00001940833,0.00027310333,0.00008306061,0.00013637781,0.0001604876,0.00015023816,0.000023818686],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051865773,0.0007952964,0.0033209152,0.000071211914,0.000013817943,0.000011608886,0.0056112832,0.12146596,0.23501076,0.0018113967,0.000020264046,0.63134885],"study_design_scores_gemma":[0.00030659535,0.003323449,0.012015752,0.00011806951,0.000025995132,0.000010442913,0.0022862507,0.74990046,0.2302763,0.0014117747,0.000010417508,0.00031448196],"about_ca_topic_score_codex":0.00001790035,"about_ca_topic_score_gemma":0.000012083828,"teacher_disagreement_score":0.6310343,"about_ca_system_score_codex":0.000009396417,"about_ca_system_score_gemma":0.000006728711,"threshold_uncertainty_score":0.36129606},"labels":[],"label_agreement":null},{"id":"W1971757350","doi":"10.3389/fnhum.2014.00397","title":"Long-term memory: scaling of information to brain size","year":2014,"lang":"en","type":"article","venue":"Frontiers in Human Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Hum; Brain size; Term (time); Cognition; Neuroscience; Cognitive psychology; Psychology; Cognitive science; Computer science; History; Physics; Medicine; Magnetic resonance imaging","score_opus":0.016090722651433836,"score_gpt":0.25357005641352315,"score_spread":0.23747933376208932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971757350","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92105144,0.000001741998,0.074866176,0.00049213256,0.002080323,0.00030518576,0.000005894223,0.000053057516,0.0011440682],"genre_scores_gemma":[0.99422383,0.0000029008256,0.0005456758,0.004838087,0.000036926554,0.00001196729,0.0000010805029,0.00000996355,0.00032954314],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983006,0.0001342491,0.00038880226,0.00040011253,0.00043412863,0.0003420863],"domain_scores_gemma":[0.9991884,0.00016051627,0.00017024625,0.00033645605,0.000030371339,0.00011396256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046493698,0.0001426899,0.00019843991,0.00033423683,0.00019283472,0.00010703175,0.0005782435,0.00004565303,0.000008239569],"category_scores_gemma":[0.0028600376,0.00013998215,0.00004988084,0.00086818245,0.00022192292,0.00078402454,0.00014169255,0.00016293836,0.0000038618587],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033978253,0.000056247216,0.01901755,0.00004814137,2.8470836e-7,0.0000047278104,0.00035876603,0.006383226,0.9561384,0.0021138636,0.0015701336,0.01427474],"study_design_scores_gemma":[0.001535321,0.0009781122,0.45339617,0.00017276597,0.000009168392,0.000030734624,0.00008183226,0.13079727,0.40473634,0.004488596,0.00291077,0.00086292217],"about_ca_topic_score_codex":0.000009141357,"about_ca_topic_score_gemma":0.000004768187,"teacher_disagreement_score":0.55140203,"about_ca_system_score_codex":0.000047064554,"about_ca_system_score_gemma":0.000019874877,"threshold_uncertainty_score":0.57083064},"labels":[],"label_agreement":null},{"id":"W1972061242","doi":"10.1142/s0218001408006648","title":"VISUAL FEATURE BINDING WITHIN THE SELECTIVE TUNING ATTENTION FRAMEWORK","year":2008,"lang":"en","type":"article","venue":"International Journal of Pattern Recognition and Artificial Intelligence","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Ontario Innovation Trust","keywords":"Percept; Computer science; Feature (linguistics); Artificial intelligence; Visual processing; Hierarchy; Information processing; Pattern recognition (psychology); Machine learning; Human–computer interaction; Neuroscience; Perception; Psychology","score_opus":0.09758338814600687,"score_gpt":0.3274455576038289,"score_spread":0.229862169457822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972061242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90396816,0.000014118328,0.09150224,0.0022792928,0.0020468403,0.00007689892,0.000015008886,0.000014249568,0.00008318072],"genre_scores_gemma":[0.99780166,0.00014841433,0.00023776555,0.0011238015,0.0006171414,0.0000026168252,0.000005305413,0.000010149242,0.00005314521],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987138,0.00013396694,0.0003930097,0.00018240378,0.0004562082,0.000120634395],"domain_scores_gemma":[0.99874455,0.00037766862,0.000447827,0.000045756,0.00032528277,0.000058942573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002926331,0.000112421716,0.000110995854,0.0001784355,0.00026753088,0.00014189754,0.00021409891,0.000065336535,0.00006407945],"category_scores_gemma":[0.0006635236,0.000080663005,0.0000918866,0.00018852304,0.00014401208,0.00034827588,0.000044244603,0.00048195067,0.000056407323],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003678151,0.0002459648,0.0035873249,0.0000084536005,0.00007121096,0.0003608147,0.002099947,0.00023462021,0.4776647,0.0015718105,0.00015231274,0.513635],"study_design_scores_gemma":[0.00026958,0.0009211443,0.0068655647,0.0007911829,0.00006837894,0.0071075833,0.0027084919,0.057602804,0.82179815,0.10092035,0.0003184432,0.00062831055],"about_ca_topic_score_codex":0.0000089763935,"about_ca_topic_score_gemma":0.000008104532,"teacher_disagreement_score":0.5130067,"about_ca_system_score_codex":0.000044103606,"about_ca_system_score_gemma":0.000030218298,"threshold_uncertainty_score":0.3289342},"labels":[],"label_agreement":null},{"id":"W1972062140","doi":"10.1103/physreve.85.040902","title":"Signal integration enhances the dynamic range in neuronal systems","year":2012,"lang":"en","type":"article","venue":"Physical Review E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministerio de Ciencia e Innovación; York University","keywords":"Integrator; Bistability; Dynamic range; Leverage (statistics); Statistical physics; Phase transition; Time delay and integration; Control theory (sociology); Computer science; Stimulus (psychology); Non-equilibrium thermodynamics; Physics; Biological system; Condensed matter physics; Artificial intelligence; Voltage; Optoelectronics; Quantum mechanics; Optics","score_opus":0.0346051103648521,"score_gpt":0.3107457008676944,"score_spread":0.2761405905028423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972062140","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99026626,0.0048315465,0.00051221927,0.0016020632,0.0007011438,0.00067759305,0.000006675285,0.0000371184,0.0013653554],"genre_scores_gemma":[0.9953338,0.0029004642,0.0000018929817,0.0014076405,0.00018340524,0.00007686355,0.000002429576,0.000007585542,0.00008591494],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998985,0.000264249,0.00016762027,0.00016584265,0.00021945783,0.00019782044],"domain_scores_gemma":[0.9994092,0.00032982818,0.00007584926,0.00013252646,0.00001179677,0.00004082416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023921154,0.0000982321,0.00017261466,0.000017679424,0.00005800307,0.000028152308,0.00013356221,0.000011057329,0.00001681351],"category_scores_gemma":[0.00021143316,0.000054387718,0.000075393145,0.00025989983,0.00004575251,0.0002344639,0.000028815053,0.00018147976,0.00013842968],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014839596,0.00027090486,0.00015020673,0.00041269307,0.0000019161496,0.0000018494281,0.00010802032,0.000035899906,0.90890795,0.041866984,0.0003623405,0.047866423],"study_design_scores_gemma":[0.0013410754,0.0009014159,0.074553795,0.00784861,0.00024798818,0.00013109973,0.00011977722,0.7389928,0.07829914,0.012741259,0.08289543,0.0019276022],"about_ca_topic_score_codex":0.000010668514,"about_ca_topic_score_gemma":0.000005786116,"teacher_disagreement_score":0.8306088,"about_ca_system_score_codex":0.000028014847,"about_ca_system_score_gemma":0.000007659681,"threshold_uncertainty_score":0.22178668},"labels":[],"label_agreement":null},{"id":"W1972083825","doi":"10.1177/0037549712450331","title":"Large-scale neuro-modeling for understanding and explaining some brain-related chaotic behavior","year":2012,"lang":"en","type":"article","venue":"SIMULATION","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Piriform cortex; Computer science; Chaotic; Neuroscience; Artificial intelligence; Electroencephalography; Nonlinear system; Scale (ratio); Psychology; Physics","score_opus":0.10075938536673451,"score_gpt":0.31493632428466767,"score_spread":0.21417693891793316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972083825","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86951303,0.000018571109,0.12917343,0.00022493477,0.0005238134,0.0003651336,0.000008265698,0.000084581,0.000088251036],"genre_scores_gemma":[0.9991253,0.0000031214734,0.00009630219,0.0005195721,0.000121949706,0.000017679875,0.000013144869,0.00002512238,0.000077825396],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909824,0.000043561493,0.00017979946,0.00024012,0.00013175912,0.0003065025],"domain_scores_gemma":[0.9991863,0.00056196627,0.00006862781,0.00009348747,0.000015102654,0.000074518124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024081167,0.00010440308,0.00009620436,0.00009071304,0.00034367866,0.000053240314,0.000040672046,0.000065162865,0.000009157031],"category_scores_gemma":[0.00032676724,0.000103898885,0.00003961204,0.00011843737,0.00001873111,0.0006427456,0.0000308352,0.000093139766,0.0000046960936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011720517,0.00019694319,0.008223222,0.00006591924,0.0000064031015,0.0000032066835,0.003127936,0.4681223,0.3609275,0.1572286,0.000026521098,0.0019542496],"study_design_scores_gemma":[0.0005602624,0.000053242955,0.0005781428,0.000011336788,0.000018520921,0.0000046293662,0.00023184565,0.99166876,0.00057455094,0.0060972585,0.000077704586,0.00012376434],"about_ca_topic_score_codex":0.0000011268304,"about_ca_topic_score_gemma":0.0000011672914,"teacher_disagreement_score":0.52354646,"about_ca_system_score_codex":0.00005598203,"about_ca_system_score_gemma":0.000005337659,"threshold_uncertainty_score":0.42368737},"labels":[],"label_agreement":null},{"id":"W1972242920","doi":"10.1371/journal.pcbi.1002120","title":"In vivo Conditions Induce Faithful Encoding of Stimuli by Reducing Nonlinear Synchronization in Vestibular Sensory Neurons","year":2011,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"In vivo; Neuroscience; Electrophysiology; Biophysics; Sensory system; Physics; Vestibular system; Noise (video); Membrane potential; Optogenetics; Biological system; Chemistry; Biology; Computer science","score_opus":0.056203630484101,"score_gpt":0.2812227777006947,"score_spread":0.22501914721659372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972242920","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964092,0.000008589826,0.0024125811,0.00021255478,0.00016768632,0.000180334,0.0001544763,0.00002452074,0.00043008983],"genre_scores_gemma":[0.9983812,0.000006989882,0.0010927559,0.00037655825,0.000026455942,0.000010052828,0.00007042026,0.000010714666,0.00002484344],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99889416,0.00019286807,0.00032218025,0.00032546956,0.0000945353,0.00017079688],"domain_scores_gemma":[0.9992521,0.00045776548,0.00012710456,0.00008101765,0.000048313927,0.00003371707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000081184815,0.00010181658,0.0001553513,0.00023787822,0.000055136836,0.0000072497487,0.00010666409,0.00007753572,0.00008996565],"category_scores_gemma":[0.00041176437,0.0001073408,0.000018180326,0.00036337657,0.00013480106,0.00014622329,0.000041633622,0.00016496578,0.000009969584],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018782506,0.0002257041,0.0032471013,0.000013424363,0.0000028437817,0.0000126602,0.00020508669,0.038212758,0.9511808,0.0067310007,0.00004901146,0.00010080746],"study_design_scores_gemma":[0.0006197856,0.00035005747,0.004750481,0.00005026583,0.000007813514,0.000029106403,0.000034539236,0.80965674,0.17381248,0.010402602,0.000074637566,0.0002115016],"about_ca_topic_score_codex":0.00008162303,"about_ca_topic_score_gemma":0.000007960416,"teacher_disagreement_score":0.77736837,"about_ca_system_score_codex":0.000047788526,"about_ca_system_score_gemma":0.000053179407,"threshold_uncertainty_score":0.43772307},"labels":[],"label_agreement":null},{"id":"W1972304429","doi":"10.1103/physreve.72.041903","title":"Role of network dynamics in shaping spike timing reliability","year":2005,"lang":"en","type":"article","venue":"Physical Review E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Institute on Deafness and Other Communication Disorders; Canadian Institutes of Health Research","keywords":"Reliability (semiconductor); Excitatory postsynaptic potential; Computer science; Neuroscience; Network dynamics; Replicate; Inhibitory postsynaptic potential; Spike (software development); Biological system; Physics; Statistical physics; Psychology; Biology; Mathematics","score_opus":0.03601016986497848,"score_gpt":0.30784734397109614,"score_spread":0.2718371741061177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972304429","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98889446,0.0021366691,0.00012106061,0.0016148426,0.000093196235,0.00042687944,0.0000057151956,0.00003894385,0.006668216],"genre_scores_gemma":[0.99624944,0.0021627003,0.00014930942,0.0012432336,0.00014900282,0.0000116076535,0.0000020235354,0.000008809721,0.000023849014],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902856,0.00008937578,0.0002642505,0.00026092216,0.00016432056,0.00019257238],"domain_scores_gemma":[0.9994066,0.0002201661,0.00010358393,0.00021335164,0.000017632863,0.00003867595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023265023,0.000091628615,0.0002762578,0.000015818256,0.00003144782,0.00000716949,0.00012706657,0.000015609121,0.000016465356],"category_scores_gemma":[0.00050075573,0.000076803684,0.000104388884,0.00035794586,0.00004212656,0.0001227948,0.00006574643,0.00015907692,0.000032335818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003620943,0.00074664765,0.003199396,0.0017593676,0.0000034210843,0.000003876358,0.00007477862,0.011138096,0.18251784,0.15253563,0.00030808238,0.64767665],"study_design_scores_gemma":[0.00013268409,0.00006616418,0.003734163,0.0014201235,0.000017309058,0.0000026063858,0.0000037842813,0.96337587,0.0032456312,0.020942612,0.006867626,0.00019145671],"about_ca_topic_score_codex":0.000011510425,"about_ca_topic_score_gemma":0.000024259654,"teacher_disagreement_score":0.9522377,"about_ca_system_score_codex":0.000086893524,"about_ca_system_score_gemma":0.000011421965,"threshold_uncertainty_score":0.31319633},"labels":[],"label_agreement":null},{"id":"W1972396204","doi":"10.1145/2330163.2330181","title":"Evolving axonal delay neural networks for robot control","year":2012,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Artificial neural network; Task (project management); Robot; Mechanism (biology); Spiking neural network; Artificial intelligence; Coding (social sciences); Engineering; Physics","score_opus":0.029269837886989586,"score_gpt":0.25426923704903476,"score_spread":0.22499939916204517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972396204","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12523098,0.00009323669,0.86544985,0.0012423272,0.0034784395,0.00066045875,0.000013305738,0.00019797642,0.0036334167],"genre_scores_gemma":[0.99325645,0.0000022920203,0.00046351814,0.00451238,0.0005621369,0.00003571945,0.000002926689,0.000015412446,0.0011491886],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908525,0.000041254898,0.00013818817,0.00019330134,0.00011833141,0.00042368885],"domain_scores_gemma":[0.99925506,0.00045050218,0.000047247744,0.00011240551,0.00002665484,0.000108133754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015659507,0.0001030278,0.00010235118,0.000030252477,0.00017183441,0.000055767752,0.00010569383,0.00004744457,0.00013771537],"category_scores_gemma":[0.00019975804,0.00007975558,0.00008404758,0.000091891096,0.00002977448,0.00034978177,0.000025281735,0.00009894785,0.000015136946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053684344,0.00045206727,0.022351,0.000036893878,0.000027125556,0.000010721512,0.000081608414,0.11520592,0.66627187,0.09414589,0.0224213,0.07845875],"study_design_scores_gemma":[0.0004944967,0.00007537093,0.0025404987,0.000001758637,0.000009577646,0.00002773185,0.0000036039485,0.99257874,0.0015313844,0.00013942205,0.002474449,0.00012298314],"about_ca_topic_score_codex":0.0000055856167,"about_ca_topic_score_gemma":0.000003996067,"teacher_disagreement_score":0.8773728,"about_ca_system_score_codex":0.000020372287,"about_ca_system_score_gemma":0.0000050981394,"threshold_uncertainty_score":0.3252338},"labels":[],"label_agreement":null},{"id":"W1972462094","doi":"10.1016/j.neuroscience.2005.10.029","title":"Grouping of brain rhythms in corticothalamic systems","year":2005,"lang":"en","type":"review","venue":"Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1317,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Neuroscience; Rhythm; Electroencephalography; Thalamus; Oscillation (cell signaling); Wakefulness; Psychology; Brain activity and meditation; Physics; Biology","score_opus":0.10713424138299447,"score_gpt":0.34898494477807945,"score_spread":0.24185070339508496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972462094","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024482661,0.98894453,0.00023294405,0.00008612193,0.0053842408,0.001590569,0.000072404284,0.00012041512,0.0011204792],"genre_scores_gemma":[0.0076077473,0.9909652,0.000011828737,0.0003598452,0.00012164019,0.00005861945,0.0000026038547,0.000049011745,0.0008234984],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99631697,0.0004107438,0.0010049187,0.0011088203,0.0006179641,0.0005405661],"domain_scores_gemma":[0.9979123,0.0007168543,0.00068384287,0.00056820735,0.000021675103,0.00009713206],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038973396,0.0003947643,0.0011679105,0.00054619875,0.000097185686,0.00009982166,0.00073157885,0.00015440353,0.0000053037043],"category_scores_gemma":[0.0014276691,0.00033060618,0.00024928866,0.0019461287,0.0003021772,0.00031336758,0.00020393102,0.00055099116,0.000029627607],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000040161976,0.00013403485,0.000017358947,0.00486928,8.3994377e-7,0.00016301432,0.000024876776,0.00040477916,0.011266091,0.005912157,0.00008114501,0.9771224],"study_design_scores_gemma":[0.00014459727,0.00013321589,0.000117431715,0.004625797,0.000027785865,0.0006015279,0.0000025685977,0.00955002,0.000067960595,0.000021857466,0.98425895,0.00044831488],"about_ca_topic_score_codex":0.000024487112,"about_ca_topic_score_gemma":0.000005933414,"teacher_disagreement_score":0.98417777,"about_ca_system_score_codex":0.00012460022,"about_ca_system_score_gemma":0.00017394267,"threshold_uncertainty_score":0.9999146},"labels":[],"label_agreement":null},{"id":"W1972996849","doi":"10.1016/j.jelekin.2006.07.003","title":"A simulation method for the firing sequences of motor units","year":2006,"lang":"en","type":"article","venue":"Journal of Electromyography and Kinesiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Motor unit; Artificial neural network; Simple (philosophy); Neuroscience; Artificial intelligence; Biology","score_opus":0.02782491941899606,"score_gpt":0.2889708817596122,"score_spread":0.26114596234061616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972996849","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9437934,0.00052732363,0.05485832,0.0005022983,0.0001775261,0.00011187875,0.0000043220475,0.0000041697617,0.000020724518],"genre_scores_gemma":[0.99827075,0.000097630094,0.0012898206,0.00019336204,0.00012719554,0.0000025705956,4.1740807e-7,0.0000038452577,0.000014391396],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993777,0.00009988019,0.00024724254,0.00008779765,0.00007276584,0.000114559596],"domain_scores_gemma":[0.99742174,0.0020777038,0.00030665804,0.00004814269,0.0001302276,0.000015547026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002941702,0.000061132174,0.00014314121,0.0001410968,0.000098631586,0.000010086267,0.000089190966,0.00004091819,0.0000023175132],"category_scores_gemma":[0.00028769835,0.000035293073,0.00008327878,0.00029745602,0.000069958114,0.000074713695,0.000007824079,0.00009351152,2.4453346e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001737327,0.00001536121,0.00048126804,0.000010441924,0.000006580219,0.0000013038264,0.00000952791,0.007186641,0.9827371,0.0038771026,0.000026615236,0.005474319],"study_design_scores_gemma":[0.0020624155,0.0081769265,0.07534864,0.00006021707,0.00023365606,0.0002800991,0.00004675709,0.27016282,0.4295174,0.20866355,0.005130812,0.00031671813],"about_ca_topic_score_codex":0.000008839329,"about_ca_topic_score_gemma":0.000003919648,"teacher_disagreement_score":0.5532197,"about_ca_system_score_codex":0.0000035878863,"about_ca_system_score_gemma":0.000018747694,"threshold_uncertainty_score":0.14392097},"labels":[],"label_agreement":null},{"id":"W1973315918","doi":"10.1371/journal.pone.0034336","title":"Adaptation-Dependent Synchronous Activity Contributes to Receptive Field Size Change of Bullfrog Retinal Ganglion Cell","year":2012,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"National Key Research and Development Program of China","keywords":"Receptive field; Neuroscience; Bullfrog; Adaptation (eye); Retina; Population; Biology; Stimulation; Biophysics; Physics; Medicine; Endocrinology","score_opus":0.0653722323938271,"score_gpt":0.2422676507187183,"score_spread":0.1768954183248912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973315918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99635357,0.000040577543,0.0006436795,0.001210117,0.0002454424,0.00051872653,0.000037650294,0.000040297615,0.0009099413],"genre_scores_gemma":[0.99808556,0.00004531348,0.00029451802,0.0008022632,0.0001884343,0.000062116116,0.0000020570342,0.000012549755,0.00050720584],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99899143,0.000094126415,0.00014053445,0.00022201786,0.00029470967,0.00025716942],"domain_scores_gemma":[0.99884945,0.00069868984,0.00011730213,0.00016667096,0.00007692614,0.0000909617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001557895,0.000106228516,0.00017745275,0.000058863865,0.00007731381,0.000016915075,0.00010703218,0.00006211581,0.00013500827],"category_scores_gemma":[0.0009547702,0.000101515885,0.00003850921,0.0001936429,0.00002480166,0.00021170643,0.00006340286,0.00013534426,0.000078278084],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024655016,0.0011612849,0.0017695369,0.000048509806,0.000009297143,0.0000022914696,0.0004204013,0.0000043248633,0.9941573,0.00019862967,0.00008786985,0.0018939755],"study_design_scores_gemma":[0.00026059643,0.00052584073,0.0065262597,0.000064660955,0.0000355133,9.759411e-7,0.000044621873,0.0008436668,0.9914358,0.0000904677,0.000057840825,0.00011370561],"about_ca_topic_score_codex":0.00008795593,"about_ca_topic_score_gemma":0.000015090292,"teacher_disagreement_score":0.004756723,"about_ca_system_score_codex":0.000061030663,"about_ca_system_score_gemma":0.000013530297,"threshold_uncertainty_score":0.41396976},"labels":[],"label_agreement":null},{"id":"W1973530341","doi":"10.1523/jneurosci.4274-09.2010","title":"Corticofugal Control of Vibrissa-Sensitive Neurons in the Interpolaris Nucleus of the Trigeminal Complex","year":2010,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Queen's University","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Inhibitory postsynaptic potential; Disinhibition; Sensory system; Somatosensory system; Brainstem; Nucleus; Thalamus; Spinal trigeminal nucleus; Chemistry; Biology; Nociception","score_opus":0.029738950405037864,"score_gpt":0.2692015515710509,"score_spread":0.23946260116601303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973530341","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954283,0.00000201193,0.00058369513,0.0019210348,0.00160719,0.00018096738,0.000029454677,0.0000031455918,0.00024419907],"genre_scores_gemma":[0.99762017,0.00000836194,0.000034501558,0.0022515615,0.000056151628,7.2361945e-7,4.055689e-8,0.000007203916,0.000021282473],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99788433,0.0003596458,0.00062891975,0.00019846637,0.0007090865,0.00021956515],"domain_scores_gemma":[0.9978614,0.00074680935,0.0009052922,0.00029819502,0.00013025048,0.00005807531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066363445,0.000118051794,0.0002574641,0.00013745099,0.00012985032,0.00005001001,0.0010052378,0.00003797682,0.0000064416236],"category_scores_gemma":[0.0028246914,0.00006380386,0.00017945061,0.0007030255,0.00085264206,0.00024873763,0.00009189335,0.00076135236,7.119512e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000118692995,0.00014696618,0.0025446073,0.000004547923,6.311459e-7,0.00004555625,0.00017499005,0.000100227655,0.9950923,0.0011365949,0.000059252292,0.0005756849],"study_design_scores_gemma":[0.0009948041,0.001072973,0.76102376,0.000041007508,0.0000302918,0.0019317421,0.00012242146,0.031251263,0.20145662,0.00043760648,0.0015178128,0.00011970674],"about_ca_topic_score_codex":0.000017483284,"about_ca_topic_score_gemma":0.000017331486,"teacher_disagreement_score":0.7936356,"about_ca_system_score_codex":0.000011833227,"about_ca_system_score_gemma":0.00009698276,"threshold_uncertainty_score":0.33816233},"labels":[],"label_agreement":null},{"id":"W1973541245","doi":"10.1016/j.neuroimage.2009.03.085","title":"Steady state and induced auditory gamma deficits in schizophrenia","year":2009,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":136,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institute of Mental Health","keywords":"Audiology; Electroencephalography; Stimulus (psychology); Amplitude; Electrophysiology; Psychology; Physics; Neuroscience; Medicine","score_opus":0.028654729456119087,"score_gpt":0.25479400939970737,"score_spread":0.2261392799435883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973541245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956619,0.00000938572,0.000015679812,0.00056731154,0.00046591542,0.00018117316,0.000007809087,0.00006254,0.0030282526],"genre_scores_gemma":[0.9975037,0.000034863024,0.000030054263,0.0018616866,0.000070816015,0.0000032906999,8.893422e-7,0.000013859578,0.0004808385],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99878424,0.00011326796,0.00018455507,0.00045958362,0.00018928101,0.00026904378],"domain_scores_gemma":[0.9995353,0.000112500544,0.0000626799,0.00019934433,0.000013045984,0.000077102704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000936432,0.00014339943,0.00013430446,0.00014275701,0.00008270908,0.000084912834,0.00012477406,0.000040307787,0.000013485124],"category_scores_gemma":[0.00023393655,0.00013650244,0.000025218758,0.00026907923,0.00003908125,0.00026002535,0.000042944797,0.0002953839,0.00006115772],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080630394,0.00004756456,0.00015158726,0.000004420526,2.3015662e-7,0.00014616884,0.00004237833,0.000017350623,0.97329205,0.00042512358,0.0001710348,0.025621457],"study_design_scores_gemma":[0.0029858588,0.0012388155,0.8258366,0.000044856795,0.000008548909,0.0001538496,0.000018724717,0.009434381,0.15010375,0.007217332,0.0022933998,0.000663896],"about_ca_topic_score_codex":0.000007965274,"about_ca_topic_score_gemma":0.000014815279,"teacher_disagreement_score":0.825685,"about_ca_system_score_codex":0.00001915418,"about_ca_system_score_gemma":0.000019182844,"threshold_uncertainty_score":0.55664074},"labels":[],"label_agreement":null},{"id":"W1973653916","doi":"10.1162/jocn.2010.21482","title":"Effects of Anterior Cingulate Microstimulation on Pro- and Antisaccades in Nonhuman Primates","year":2010,"lang":"en","type":"article","venue":"Journal of Cognitive Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mediprobe Research (Canada); Western University","funders":"Canadian Institutes of Health Research","keywords":"Microstimulation; Antisaccade task; Psychology; Neuroscience; Saccade; Cognition; Saccadic masking; Supplementary eye field; Saccadic eye movement; Eye movement; Stimulation","score_opus":0.013581002309547306,"score_gpt":0.2845604171137527,"score_spread":0.2709794148042054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973653916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987679,0.000012080916,0.000108056425,0.0000972959,0.0007091802,0.00022325825,0.000003892218,0.0000059822246,0.00007233178],"genre_scores_gemma":[0.9993673,0.000060707003,0.0000389351,0.0004674583,0.000036317688,0.0000012597449,7.950269e-8,0.000008389583,0.000019574154],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988872,0.000084636304,0.00033668414,0.00023470412,0.00029046793,0.00016632256],"domain_scores_gemma":[0.9985416,0.0008159849,0.0004243421,0.000054136028,0.000102786835,0.000061177074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026220287,0.00011157617,0.00019928187,0.00023558598,0.000085254214,0.00006649757,0.00014195689,0.00003919225,0.000002138382],"category_scores_gemma":[0.0033057693,0.00008778041,0.000043466356,0.0003158433,0.00030421276,0.00041209732,0.00004416226,0.000339594,8.137687e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001332805,0.00012003189,0.008243054,0.000037505528,3.6109077e-7,0.00006434855,0.00010022324,0.000018989316,0.9875246,0.00010309262,0.0000010300851,0.0036534695],"study_design_scores_gemma":[0.0005285964,0.0006215927,0.40092492,0.00020979256,0.000005466933,0.00011846704,0.000004183446,0.0016122815,0.5957196,0.00019258703,0.0000055680607,0.00005696456],"about_ca_topic_score_codex":0.00000192045,"about_ca_topic_score_gemma":0.000002346275,"teacher_disagreement_score":0.39268187,"about_ca_system_score_codex":0.000007634606,"about_ca_system_score_gemma":0.00003073834,"threshold_uncertainty_score":0.39575535},"labels":[],"label_agreement":null},{"id":"W1973941130","doi":"10.3389/fnsys.2013.00052","title":"Shaping the aging brain: role of auditory input patterns in the emergence of auditory cortical impairments","year":2013,"lang":"en","type":"article","venue":"Frontiers in Systems Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"","keywords":"Auditory cortex; Psychology; Neuroscience; Auditory system; Presbycusis; Audiology; Natural sounds; Population; Auditory pathways; Parvalbumin; Biology; Hearing loss; Medicine","score_opus":0.021500798931523096,"score_gpt":0.24319056026152872,"score_spread":0.22168976133000562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973941130","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.987155,0.00006725018,0.0016895938,0.0006613158,0.009340837,0.0008353611,0.0000107921505,0.000018875251,0.00022093386],"genre_scores_gemma":[0.9987019,0.000045163684,0.00001772003,0.0008973922,0.00015026557,0.00008928596,3.2552336e-7,0.000013215346,0.000084759406],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99674433,0.0007762157,0.000671952,0.0005378364,0.0008104811,0.00045915478],"domain_scores_gemma":[0.99852383,0.0004855785,0.00036806197,0.00051853346,0.000045722427,0.00005828542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096563576,0.00018134346,0.0002791093,0.00021299136,0.00018799811,0.000078120356,0.0012165916,0.0000592223,0.000007175332],"category_scores_gemma":[0.0010138047,0.000116993855,0.00007604819,0.00093730324,0.00050030544,0.00044655986,0.00017530358,0.0003936485,0.0000041839157],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012296982,0.00015865358,0.13744149,0.000106975174,0.000001324025,0.000020484258,0.0016095248,0.0027420775,0.8490899,0.0002731974,0.007488936,0.0010551037],"study_design_scores_gemma":[0.00042622566,0.00029758093,0.7008279,0.0002964499,0.000007191269,0.000058942645,0.004932886,0.28346917,0.0075526396,0.00047974495,0.0013302871,0.00032097197],"about_ca_topic_score_codex":0.00029655185,"about_ca_topic_score_gemma":0.00001298448,"teacher_disagreement_score":0.8415373,"about_ca_system_score_codex":0.000047265552,"about_ca_system_score_gemma":0.000058891183,"threshold_uncertainty_score":0.4770871},"labels":[],"label_agreement":null},{"id":"W1974236821","doi":"10.1006/nlme.2000.4004","title":"Motor Learning-Dependent Synaptogenesis Is Localized to Functionally Reorganized Motor Cortex","year":2002,"lang":"en","type":"article","venue":"Neurobiology of Learning and Memory","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":486,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Neurological Disorders and Stroke; National Institute on Aging","keywords":"Forelimb; Synaptogenesis; Neuroscience; Motor cortex; Neuroplasticity; Biology; Motor learning; Cortex (anatomy); Hindlimb; Psychology; Anatomy; Stimulation","score_opus":0.018794563949294928,"score_gpt":0.23096822761093416,"score_spread":0.21217366366163923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974236821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99675673,0.00006750285,0.0001398122,0.0010161554,0.0006314158,0.0002634752,0.000012166025,0.00016029875,0.00095241383],"genre_scores_gemma":[0.9693656,0.0002932062,0.00006984798,0.0017846079,0.00008059998,0.000016219798,0.0000042552415,0.000036144807,0.0283495],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997991,0.00045391245,0.00033161294,0.0007053374,0.00018426361,0.0003338436],"domain_scores_gemma":[0.9989195,0.00048733168,0.0001940776,0.0001737237,0.00007433263,0.00015102861],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002163128,0.00022359692,0.00035202721,0.00019523402,0.00030582974,0.000023735132,0.00016250229,0.00015243381,0.00086862704],"category_scores_gemma":[0.0010448718,0.00020595909,0.00009667458,0.00022781901,0.00018189539,0.00006364589,0.00012900724,0.00045545446,0.0001810904],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024524872,0.00006221221,0.0022960543,0.000020459052,0.000011904389,0.000011832959,0.00011629403,0.0002452924,0.9938008,0.000047711837,0.00035984782,0.0027822964],"study_design_scores_gemma":[0.009811085,0.019151196,0.08280564,0.00017286463,0.0003341091,0.0012994246,0.0007610704,0.02847648,0.6632156,0.00025370534,0.19110797,0.0026108488],"about_ca_topic_score_codex":0.0000107049555,"about_ca_topic_score_gemma":0.0000015674248,"teacher_disagreement_score":0.33058524,"about_ca_system_score_codex":0.000020971098,"about_ca_system_score_gemma":0.000015445787,"threshold_uncertainty_score":0.9510857},"labels":[],"label_agreement":null},{"id":"W1974766268","doi":"10.1016/s0166-4328(99)00131-x","title":"Visually guided locomotion and computation of time-to-collision in the Mongolian gerbil (Meriones unguiculatus): the effects of frontal and visual cortical lesions","year":2000,"lang":"en","type":"article","venue":"Behavioural Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Gerbil; Neuroscience; Visual cortex; Cortex (anatomy); Psychology","score_opus":0.058311278371289056,"score_gpt":0.3798795147254334,"score_spread":0.32156823635414433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974766268","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963662,0.000028907147,0.000037746537,0.0024251156,0.000034026973,0.0010294943,0.0000071176632,0.000010312994,0.00006107449],"genre_scores_gemma":[0.99949414,0.000033437413,0.000027438808,0.0001512645,0.000016908365,0.000031258474,0.0000063827038,0.000010922535,0.00022827898],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99733436,0.0011330228,0.00030213577,0.0003029994,0.00066275947,0.00026472518],"domain_scores_gemma":[0.9976776,0.0019780095,0.000051438492,0.00013775208,0.00007907613,0.00007611095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010861334,0.000109795845,0.00016574722,0.00016816828,0.00028289572,0.000066113746,0.00017132942,0.00006925136,0.000027850065],"category_scores_gemma":[0.0008936977,0.00006644796,0.000038911174,0.0006060005,0.00039083528,0.000111102454,0.00010503749,0.00030782126,0.000010507553],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002240153,0.00042935897,0.0069886455,0.00005944577,0.0000028558595,0.000031039584,0.0010669519,0.00018138567,0.94988436,0.0002949341,0.00069380086,0.04014318],"study_design_scores_gemma":[0.0007983631,0.0013602318,0.92968804,0.00013531989,0.000011523627,0.000052260817,0.00018967797,0.043083783,0.024253294,0.00027165582,0.000038328722,0.000117535106],"about_ca_topic_score_codex":0.00043801861,"about_ca_topic_score_gemma":0.000051644165,"teacher_disagreement_score":0.9256311,"about_ca_system_score_codex":0.000028353348,"about_ca_system_score_gemma":0.000028941526,"threshold_uncertainty_score":0.27096692},"labels":[],"label_agreement":null},{"id":"W1974926522","doi":"10.1152/jn.00648.2010","title":"Brain Noise Is Task Dependent and Region Specific","year":2010,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":161,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children; Baycrest Hospital; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Precuneus; Psychology; Magnetoencephalography; Neuroscience; Context (archaeology); Brain activity and meditation; Posterior cingulate; Cuneus; Prefrontal cortex; Cognition; Cognitive psychology; Computer science; Electroencephalography; Biology","score_opus":0.023146626796781575,"score_gpt":0.24470190021665678,"score_spread":0.2215552734198752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974926522","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932794,0.0000069326647,0.000085261025,0.004474476,0.0019304887,0.00005258985,0.0000023004266,0.000008869172,0.00015970875],"genre_scores_gemma":[0.9937979,0.00023474086,0.00004527457,0.005187395,0.00042862823,4.83551e-7,1.7200365e-7,0.000013362553,0.00029201963],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990951,0.00010764696,0.00026203488,0.00022591313,0.00014685205,0.00016244182],"domain_scores_gemma":[0.99916595,0.00025980728,0.00025930488,0.00016553947,0.00005238494,0.000096994016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000436267,0.00010553054,0.00018143625,0.00011355309,0.00008665621,0.00003344269,0.00018307741,0.00006299371,0.000032146367],"category_scores_gemma":[0.00025711334,0.00007996615,0.000072896146,0.000104113205,0.00012891475,0.0001479434,0.00006317613,0.0005333754,0.000018879651],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000114845876,0.000039610593,0.000034635694,0.0000036044573,0.0000016138114,0.00027339815,0.000028272454,0.00001772868,0.9938735,0.0006364102,0.0011594053,0.0038169965],"study_design_scores_gemma":[0.004266985,0.006969478,0.19190022,0.000046271005,0.00005427224,0.026989136,0.00004851434,0.005354672,0.49844694,0.0292258,0.2357738,0.0009239121],"about_ca_topic_score_codex":0.0000012833284,"about_ca_topic_score_gemma":5.0226674e-7,"teacher_disagreement_score":0.49542654,"about_ca_system_score_codex":0.000006456844,"about_ca_system_score_gemma":0.000016414338,"threshold_uncertainty_score":0.3260925},"labels":[],"label_agreement":null},{"id":"W1974931928","doi":"10.1006/brcg.1999.1154","title":"Chaos, Brain, and Cognition: Toward a Nonlinear Order?","year":2000,"lang":"en","type":"article","venue":"Brain and Cognition","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université de Montréal","funders":"","keywords":"Predictability; Surrogate data; Psychology; Randomness; Chaotic; Lyapunov exponent; Statistical hypothesis testing; Schizophrenia (object-oriented programming); Nonlinear system; Cognition; Association (psychology); Correlation dimension; Cognitive psychology; Developmental psychology; Neuroscience; Artificial intelligence; Statistics; Mathematics; Computer science; Fractal; Fractal dimension; Psychiatry","score_opus":0.024580298058263988,"score_gpt":0.24749706034944313,"score_spread":0.22291676229117915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974931928","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.959775,0.00010525486,0.00033939988,0.019226503,0.00019097606,0.00044972205,0.00012344097,0.00018617549,0.019603536],"genre_scores_gemma":[0.9746525,0.0005392913,0.00014417981,0.021841768,0.00022749841,0.00003082689,0.00009250295,0.000021769229,0.0024496638],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988685,0.00009225497,0.00017546308,0.00044972365,0.00018570684,0.00022829922],"domain_scores_gemma":[0.999427,0.00026399174,0.00004764823,0.00009297531,0.00005359426,0.000114750386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012856527,0.00016287835,0.0001383473,0.00007330171,0.0002565639,0.00013494093,0.000052202853,0.00008726774,0.00053127744],"category_scores_gemma":[0.00029348623,0.00015475815,0.00003335406,0.00025237628,0.00014961697,0.0002592463,0.000028785298,0.00014735862,0.000103573875],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040001152,0.00024522466,0.00005500836,0.00012320708,0.00001562013,0.000086082626,0.00046940873,0.000003722403,0.24364828,0.0027749827,0.005859455,0.746319],"study_design_scores_gemma":[0.021468114,0.0047183153,0.021767655,0.000946023,0.0004062873,0.0043451763,0.0012598935,0.10815975,0.14057966,0.12125248,0.5706438,0.0044528795],"about_ca_topic_score_codex":0.000008177363,"about_ca_topic_score_gemma":0.000009839787,"teacher_disagreement_score":0.7418661,"about_ca_system_score_codex":0.0000072122375,"about_ca_system_score_gemma":0.000017568227,"threshold_uncertainty_score":0.6310854},"labels":[],"label_agreement":null},{"id":"W1975076522","doi":"10.1167/14.10.1408","title":"Impact of pulvinar on contrast response functions in the primary visual cortex","year":2014,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Visual cortex; Receptive field; Neuroscience; Thalamus; Stimulus (psychology); Stimulation; Contrast (vision); Visual system; Psychology; Chemistry; Physics; Optics","score_opus":0.01671078757650221,"score_gpt":0.3160386258635434,"score_spread":0.29932783828704124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975076522","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981479,0.000006911163,0.00026883447,0.0006058727,0.00038830505,0.00007949169,0.0000031623026,0.0000033411393,0.0004961797],"genre_scores_gemma":[0.99936336,0.000013437537,0.0000086729515,0.00044939172,0.0000793998,4.796773e-7,4.8280043e-7,0.000006495166,0.00007826147],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985184,0.0005463791,0.00034033263,0.000101455196,0.0003773331,0.000116105366],"domain_scores_gemma":[0.99822176,0.0012225341,0.0003317709,0.00012178997,0.0000602001,0.000041945084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012305476,0.00007913671,0.00016338273,0.00019906518,0.00006802183,0.000031083415,0.00015942879,0.00003810257,0.000019575364],"category_scores_gemma":[0.0010224339,0.00004278656,0.00015253879,0.0002476337,0.000046489273,0.00016843429,0.000016894213,0.000268013,0.0000079407855],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0038928236,0.00039053976,0.0013469101,0.0000034881286,0.0000028511242,0.00002024773,0.000059016646,0.00045754324,0.98526824,0.00010500451,0.0013339323,0.00711939],"study_design_scores_gemma":[0.00084757974,0.008985677,0.9844692,0.00006942233,0.000008432694,0.0001685932,0.000024860417,0.0034840836,0.001155582,0.00028441942,0.00044842067,0.00005372457],"about_ca_topic_score_codex":0.000004912923,"about_ca_topic_score_gemma":0.0000015615493,"teacher_disagreement_score":0.9841127,"about_ca_system_score_codex":0.0000728272,"about_ca_system_score_gemma":0.00005521862,"threshold_uncertainty_score":0.17447852},"labels":[],"label_agreement":null},{"id":"W1975302642","doi":"10.1073/pnas.0337591100","title":"Gain control of firing rate by shunting inhibition: Roles of synaptic noise and dendritic saturation","year":2003,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":232,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Depolarization; Shunting; Neuroscience; Saturation (graph theory); Subthreshold conduction; Chemistry; Biophysics; Control theory (sociology); Biology; Computer science; Physics; Mathematics; Control (management); Artificial intelligence","score_opus":0.023318383985170377,"score_gpt":0.25740815749106216,"score_spread":0.23408977350589177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975302642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99794227,0.00009870474,0.000017097786,0.0009276712,0.000019051084,0.00013981198,0.000014634518,0.0000048321217,0.00083591056],"genre_scores_gemma":[0.9995827,0.000027178865,0.00014656257,0.00019860976,0.000012168315,0.0000036274967,6.6749095e-8,0.0000026390078,0.000026411066],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988166,0.000021030199,0.00032799516,0.00019297001,0.00054069655,0.00010070824],"domain_scores_gemma":[0.99898237,0.00033689546,0.0005002714,0.000006345639,0.00015478623,0.000019321302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010112538,0.00006867969,0.00013521548,0.00009061452,0.00013705515,0.000019264979,0.00016309101,0.00004457724,0.0000036051722],"category_scores_gemma":[0.0021478604,0.00004989903,0.000039159007,0.00045530277,0.0006072003,0.00045595484,0.000032797445,0.000092013994,1.3590882e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009901978,0.000019187426,0.0016913234,0.0000657734,0.0000023811344,3.850049e-9,0.000044733,0.00016197174,0.94111335,0.05673273,0.000019976718,0.00013869556],"study_design_scores_gemma":[0.00022121631,0.000050976778,0.0045877253,0.00011130449,0.00000928801,0.000007998278,0.00007158667,0.012228546,0.9595814,0.0230718,0.000008960508,0.000049200422],"about_ca_topic_score_codex":0.0000012328924,"about_ca_topic_score_gemma":5.971861e-8,"teacher_disagreement_score":0.033660926,"about_ca_system_score_codex":0.000011838892,"about_ca_system_score_gemma":0.000014987274,"threshold_uncertainty_score":0.25713447},"labels":[],"label_agreement":null},{"id":"W1975304859","doi":"10.1016/j.bandc.2014.02.006","title":"Neuromagnetic correlates of intra- and extra-dimensional set-shifting","year":2014,"lang":"en","type":"article","venue":"Brain and Cognition","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":55,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Mental Health Research Canada","funders":"Canadian Institutes of Health Research","keywords":"Psychology; Set (abstract data type); Cognitive psychology; Magnetoencephalography; Neuroscience; Cognitive science; Electroencephalography; Computer science","score_opus":0.01796933834575506,"score_gpt":0.22254600513208433,"score_spread":0.20457666678632927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975304859","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975739,0.00002646173,0.00017882866,0.00063115667,0.00012910402,0.00008911099,0.000007058624,0.000026189466,0.00133819],"genre_scores_gemma":[0.9983637,0.000020879248,0.0000515983,0.0014049526,0.000031293137,0.0000032192024,0.0000067828187,0.0000071551594,0.00011044971],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993829,0.000085818,0.00012222276,0.00020898246,0.00010102144,0.000099027246],"domain_scores_gemma":[0.9993214,0.00050659926,0.0000590272,0.000049011414,0.000019669365,0.00004428333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012218593,0.000073077936,0.00008138648,0.00004684844,0.00009365835,0.000026319061,0.000025023146,0.000035845907,0.000022947765],"category_scores_gemma":[0.000474405,0.00006636703,0.000015522488,0.00007891263,0.00010311991,0.00008508086,0.000027177548,0.000075713724,0.0000043422997],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003647203,0.00002582326,0.0004979931,0.000036786354,0.0000013459212,0.0000030748215,0.000073778836,0.000010151691,0.9332627,0.005978864,0.00010485001,0.059968177],"study_design_scores_gemma":[0.0044560954,0.0030544389,0.18611938,0.00039080984,0.00011910249,0.00079348724,0.00015148906,0.46462232,0.21425432,0.12317222,0.0018988862,0.00096747227],"about_ca_topic_score_codex":0.000003130518,"about_ca_topic_score_gemma":0.0000019298157,"teacher_disagreement_score":0.7190084,"about_ca_system_score_codex":0.0000016671471,"about_ca_system_score_gemma":0.000004112577,"threshold_uncertainty_score":0.2706369},"labels":[],"label_agreement":null},{"id":"W1975385207","doi":"10.1093/cercor/bhv081","title":"Conjunctive Coding of Complex Object Features","year":2015,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Ontario Brain Institute; Western University; University of Toronto","funders":"Canadian Institutes of Health Research; University of Toronto; James S. McDonnell Foundation","keywords":"Perirhinal cortex; Computer science; Artificial intelligence; Coding (social sciences); Object (grammar); Percept; Visual Objects; Cognitive neuroscience of visual object recognition; Pattern recognition (psychology); Communication; Neuroscience; Psychology; Perception; Temporal lobe; Mathematics","score_opus":0.07239921339940794,"score_gpt":0.28549575984939324,"score_spread":0.2130965464499853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975385207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9591297,0.00001844312,0.00025660178,0.0003281027,0.0008957656,0.00021790546,0.000036449466,0.000089198875,0.039027844],"genre_scores_gemma":[0.99738055,0.0000038866847,0.000086072556,0.0008270159,0.00007648283,0.0000034550942,0.000008989154,0.000012931858,0.0016006221],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990382,0.00007464655,0.00016328231,0.00027895378,0.0002542107,0.00019066661],"domain_scores_gemma":[0.9994155,0.00011054825,0.000113952905,0.00018026333,0.000076287295,0.0001034447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009595031,0.00011552007,0.00017746023,0.00006431729,0.000069296984,0.000029646648,0.0001642819,0.000045964058,0.00008402542],"category_scores_gemma":[0.00034530158,0.00009576838,0.000063859,0.00022449702,0.00012961768,0.00013927395,0.000074766904,0.00013001957,0.000046412533],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017292962,0.00006394717,0.002093943,0.000020503627,0.0000074444138,0.000016711825,0.00025072315,0.000040379735,0.9450274,0.035972774,0.0133308135,0.0030024245],"study_design_scores_gemma":[0.004746228,0.0022772793,0.3289895,0.00010187892,0.00007813267,0.0003061546,0.0010907998,0.023071112,0.59535414,0.027484924,0.01534632,0.0011535125],"about_ca_topic_score_codex":0.000048847553,"about_ca_topic_score_gemma":0.000017758597,"teacher_disagreement_score":0.34967324,"about_ca_system_score_codex":0.000038699854,"about_ca_system_score_gemma":0.000045177203,"threshold_uncertainty_score":0.39053214},"labels":[],"label_agreement":null},{"id":"W1975631491","doi":"10.1167/12.9.1285","title":"The regularity after-effect: first or second-order?","year":2012,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Jitter; Mathematics; Degree (music); Gaussian; Binary number; Pattern recognition (psychology); Statistics; Combinatorics; Physics; Computer science; Artificial intelligence; Arithmetic; Acoustics; Telecommunications","score_opus":0.016714535464857766,"score_gpt":0.2802180542637532,"score_spread":0.26350351879889544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975631491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954736,0.00018075133,0.00014623087,0.0016020836,0.0019545103,0.00008848409,0.0000018006056,0.000008206205,0.00054433045],"genre_scores_gemma":[0.99784654,0.0001227301,0.000060524566,0.00039393327,0.00035720805,0.0000015253252,9.6261786e-8,0.0000084164585,0.0012090164],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99905133,0.00013181171,0.00023948628,0.00007980229,0.0003006619,0.00019689291],"domain_scores_gemma":[0.9988298,0.0006521479,0.00022484166,0.00014373189,0.00005179781,0.00009771454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007442336,0.00008070221,0.00011207338,0.00004422709,0.00026423196,0.000086825035,0.00016724657,0.000043942146,0.00021033175],"category_scores_gemma":[0.00074519066,0.00003785748,0.00008650884,0.00017160297,0.000045658515,0.0004229159,0.000054601976,0.00024137618,0.000026538833],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005408797,0.000658424,0.009541643,0.00012339969,0.000025860385,0.00023522503,0.000478935,0.000054906373,0.79224896,0.001856471,0.032804616,0.15656275],"study_design_scores_gemma":[0.001800677,0.0042596865,0.30080277,0.00022103576,0.000051566258,0.0018861545,0.000038491416,0.0030589718,0.080537006,0.0011857359,0.605818,0.00033994342],"about_ca_topic_score_codex":8.1566435e-7,"about_ca_topic_score_gemma":0.000013225785,"teacher_disagreement_score":0.711712,"about_ca_system_score_codex":0.000036188543,"about_ca_system_score_gemma":0.000017044835,"threshold_uncertainty_score":0.23029853},"labels":[],"label_agreement":null},{"id":"W1975693321","doi":"10.1016/s0006-8993(99)02351-3","title":"Are neocortical gamma waves related to consciousness?","year":2000,"lang":"en","type":"article","venue":"Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":107,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Arousal; Amplitude; Neuroscience; Physics; Isoflurane; Burst suppression; Psychology; Anesthesia; Electroencephalography; Audiology; Medicine; Optics","score_opus":0.08836309523933457,"score_gpt":0.378475418456213,"score_spread":0.29011232321687846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975693321","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9465321,0.000009278732,0.00000971119,0.028020864,0.0001432366,0.0004772979,0.000011382481,0.00011488741,0.024681289],"genre_scores_gemma":[0.9188887,0.000016555501,0.000028918303,0.0032239752,0.00006772701,0.000044413686,0.0000019550903,0.000025501527,0.07770226],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99710107,0.000550238,0.00022932119,0.00060956425,0.00081069814,0.0006991129],"domain_scores_gemma":[0.99784446,0.0013435455,0.00002730639,0.00039955648,0.00008754864,0.00029759886],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00082149735,0.00011953681,0.00014885489,0.00022566007,0.00038853954,0.00016637893,0.00036916102,0.00010072022,0.0027184724],"category_scores_gemma":[0.0037243376,0.00010308343,0.000057281733,0.0012109956,0.0002974707,0.00012181769,0.00012310411,0.0005429618,0.003763868],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044950616,0.00030629794,0.0022841352,0.000036064397,0.000007676958,0.0009420641,0.00037230007,0.00026577074,0.73873997,0.025584262,0.07929281,0.15171914],"study_design_scores_gemma":[0.002461069,0.001510892,0.15287103,0.0002252594,0.000008947044,0.00045779374,0.0004777849,0.028712189,0.09840022,0.050821688,0.66281474,0.0012383679],"about_ca_topic_score_codex":0.000028202445,"about_ca_topic_score_gemma":0.000027213882,"teacher_disagreement_score":0.64033973,"about_ca_system_score_codex":0.000057345565,"about_ca_system_score_gemma":0.000050413433,"threshold_uncertainty_score":0.9981932},"labels":[],"label_agreement":null},{"id":"W1976031660","doi":"10.1167/10.7.719","title":"Dissociating feature complexity from number of objects in VSTM storage using the contralateral delay activity","year":2010,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Intraparietal sulcus; Feature (linguistics); Psychology; Posterior parietal cortex; Working memory; Communication; Artificial intelligence; Pattern recognition (psychology); Computer science; Cognitive psychology; Neuroscience; Cognition","score_opus":0.029281301362865712,"score_gpt":0.32020701592155076,"score_spread":0.29092571455868504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976031660","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983828,0.000003852807,0.00013709646,0.00046614933,0.00086086994,0.000064151995,0.0000130994895,0.000003359181,0.0000685979],"genre_scores_gemma":[0.99923253,0.000003936749,0.00048446175,0.000116214076,0.00013924138,1.2374741e-7,3.8734484e-7,0.0000068422137,0.00001625242],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99908733,0.00017285034,0.00021752765,0.000104832536,0.00029114602,0.00012631709],"domain_scores_gemma":[0.9989045,0.0003866666,0.0005126749,0.00010176998,0.000055879038,0.00003848319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037030806,0.00007868244,0.0001865063,0.00003762169,0.00010734152,0.00004728696,0.00014945117,0.00007182605,0.000029004068],"category_scores_gemma":[0.00039230322,0.00004813365,0.0000913883,0.00014289441,0.00006208607,0.00031308926,0.00004473166,0.0006920397,6.7055987e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000108490145,0.00006816766,0.015167494,0.0000028367479,0.0000026830287,0.000022335016,0.00022494516,0.00014127775,0.9830585,0.0000747659,0.000025635927,0.0011028418],"study_design_scores_gemma":[0.0008919861,0.00012094971,0.85518265,0.000111118476,0.000016936665,0.00013432576,0.00005225165,0.07573945,0.06456323,0.0030299437,0.000045882036,0.00011129011],"about_ca_topic_score_codex":0.00012390081,"about_ca_topic_score_gemma":0.00013787014,"teacher_disagreement_score":0.9184953,"about_ca_system_score_codex":0.000043390657,"about_ca_system_score_gemma":0.000027869908,"threshold_uncertainty_score":0.3006607},"labels":[],"label_agreement":null},{"id":"W1976033787","doi":"10.1103/physreve.68.047102","title":"Topology and computational performance of attractor neural networks","year":2003,"lang":"en","type":"article","venue":"Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Attractor; Network topology; Computer science; Artificial neural network; Topology (electrical circuits); Relation (database); Small-world network; Function (biology); Theoretical computer science; Random walk; Scale (ratio); Artificial intelligence; Mathematics; Complex network; Data mining; Computer network; Combinatorics","score_opus":0.017190731157911386,"score_gpt":0.30142934441163105,"score_spread":0.2842386132537197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976033787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97652656,0.0020037196,0.014871252,0.0012441523,0.0010529261,0.00060082163,0.000114350274,0.00006811163,0.0035181022],"genre_scores_gemma":[0.9961133,0.0028014674,0.00037448748,0.0003384572,0.00015451472,0.000010666045,0.00004131364,0.000020595504,0.00014519706],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99831426,0.00020307682,0.00047669615,0.0004927474,0.00021488167,0.0002983151],"domain_scores_gemma":[0.998728,0.00074448553,0.00014783087,0.00016890187,0.000059155016,0.00015162227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001121622,0.00025363412,0.00051560544,0.000028821298,0.00021634708,0.000025639069,0.000114188886,0.00007455348,0.00003498506],"category_scores_gemma":[0.00018001905,0.0002041185,0.000088851375,0.00015006115,0.0006164271,0.00019669709,0.00019101913,0.00046536303,0.000008772052],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016239462,0.00073544134,0.0010453505,0.0016528774,0.00006359707,0.000055316585,0.00032238313,0.0041986895,0.004965012,0.91009194,0.0017478825,0.074959144],"study_design_scores_gemma":[0.00044596277,0.0008021253,0.003114586,0.00026472064,0.00009671515,0.000116282434,0.000012639628,0.8877631,0.0007310444,0.105948366,0.000391573,0.00031289627],"about_ca_topic_score_codex":0.0000016823419,"about_ca_topic_score_gemma":4.4772676e-7,"teacher_disagreement_score":0.8835644,"about_ca_system_score_codex":0.000020979935,"about_ca_system_score_gemma":0.000018607223,"threshold_uncertainty_score":0.8323711},"labels":[],"label_agreement":null},{"id":"W1976059032","doi":"10.1016/j.brainres.2014.09.047","title":"Saturation of auditory short-term memory causes a plateau in the sustained anterior negativity event-related potential","year":2014,"lang":"en","type":"article","venue":"Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; International Laboratory for Brain, Music and Sound Research","funders":"Fonds de Recherche du Québec - Santé; Faculty of Arts and Sciences; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Mismatch negativity; Term (time); Negativity effect; Auditory event; Event-related potential; Audiology; Neuroscience; Psychology; Electroencephalography; Cognitive psychology; Medicine; Physics; Cognition","score_opus":0.041880186717882455,"score_gpt":0.34516392359424763,"score_spread":0.3032837368763652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976059032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947201,0.000009712623,0.00013532903,0.0034511224,0.00036343667,0.00057648786,0.000007649969,0.000025532807,0.0007106217],"genre_scores_gemma":[0.9987483,0.000016511169,0.00000581857,0.00020172496,0.00015194657,0.000031772208,0.000006488276,0.000014316746,0.0008230976],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99603486,0.0020425261,0.00032073687,0.00037669606,0.00082176196,0.00040341093],"domain_scores_gemma":[0.9978386,0.0015775206,0.000072063405,0.00035047362,0.00011016325,0.000051162213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028533794,0.00011558679,0.0001641363,0.00029375986,0.00024845137,0.00009098396,0.00038805985,0.00010172704,0.000041134732],"category_scores_gemma":[0.003003734,0.0000827798,0.00007008029,0.00071628025,0.00031645782,0.0002325019,0.00012967213,0.0005559143,0.000014524704],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015893385,0.00012225713,0.00047167388,0.0000432089,0.0000030863469,0.000049551847,0.00049234077,0.00016084628,0.9910713,0.0010899979,0.0011917779,0.00514504],"study_design_scores_gemma":[0.0032415115,0.0020620725,0.5621034,0.00030242797,0.00001787483,0.0001615212,0.0020952222,0.167495,0.25105685,0.009796565,0.0009773007,0.00069024315],"about_ca_topic_score_codex":0.0000996972,"about_ca_topic_score_gemma":0.0001682352,"teacher_disagreement_score":0.74001443,"about_ca_system_score_codex":0.00006985876,"about_ca_system_score_gemma":0.00009071902,"threshold_uncertainty_score":0.3595967},"labels":[],"label_agreement":null},{"id":"W1976150695","doi":"10.3389/fncom.2014.00107","title":"Differential effects of excitatory and inhibitory heterogeneity on the gain and asynchronous state of sparse cortical networks","year":2014,"lang":"en","type":"article","venue":"Frontiers in Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Neural coding; Neuroscience; Network dynamics; Synchronization (alternating current); Computer science; Population; Models of neural computation; Asynchronous communication; Biological neural network; Cortical neurons; Artificial neural network; Biological system; Biology; Artificial intelligence; Mathematics","score_opus":0.011703916704771314,"score_gpt":0.21933667846905094,"score_spread":0.20763276176427964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976150695","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84424657,0.000015329893,0.15460652,0.000081840735,0.0008533525,0.00017082255,0.0000046747846,0.000007843071,0.000013083261],"genre_scores_gemma":[0.9991145,0.000026376025,0.0002533191,0.0005682125,0.000019781335,0.000005474157,5.5455524e-7,0.0000067832934,0.0000049762475],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99863607,0.0003214208,0.0002231222,0.0003538644,0.00029856447,0.00016695136],"domain_scores_gemma":[0.9985407,0.0011453377,0.00012556353,0.0001087386,0.000020580923,0.000059051355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001703827,0.000109227294,0.00016589805,0.000095440475,0.00011649006,0.000026039637,0.0001365442,0.000025268098,4.0546968e-7],"category_scores_gemma":[0.00056988455,0.00008352442,0.000026591979,0.00019533306,0.00080180285,0.00008307207,0.00008748174,0.00016988415,1.2911025e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003790274,0.00055630645,0.057815406,0.00022235545,0.000005905285,0.000029476836,0.00024844075,0.42752463,0.46766222,0.016373858,0.00041360053,0.028768782],"study_design_scores_gemma":[0.0002672078,0.00028616865,0.21428922,0.00002717689,0.0000028395098,0.000005518574,0.0000024936226,0.76933455,0.0122159785,0.0034910901,0.000007445544,0.00007029929],"about_ca_topic_score_codex":0.0000021647015,"about_ca_topic_score_gemma":0.0000010628074,"teacher_disagreement_score":0.45544624,"about_ca_system_score_codex":0.000013379854,"about_ca_system_score_gemma":0.000018847544,"threshold_uncertainty_score":0.3406027},"labels":[],"label_agreement":null},{"id":"W1976177818","doi":"10.1371/journal.pcbi.1002050","title":"How Modeling Can Reconcile Apparently Discrepant Experimental Results: The Case of Pacemaking in Dopaminergic Neurons","year":2011,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":89,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fonds De La Recherche Scientifique - FNRS; York University","keywords":"Dopaminergic; Neuroscience; Sodium channel; Depolarization; Electrophysiology; Neuron; Conductance; Neurophysiology; Midbrain; Chemistry; Biology; Dopamine; Sodium; Biophysics; Physics; Central nervous system","score_opus":0.1184978075883018,"score_gpt":0.2812453692190704,"score_spread":0.1627475616307686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976177818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99737495,0.000022335322,0.0010712257,0.00065516063,0.0001776071,0.00017637138,0.00010187554,0.000021342023,0.00039914396],"genre_scores_gemma":[0.9993191,0.0000031282063,0.00033679907,0.00023094361,0.000029381958,0.000021903292,0.000027156142,0.0000082003535,0.000023405391],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990203,0.00018455165,0.00025019792,0.0003133707,0.00006797539,0.0001636468],"domain_scores_gemma":[0.99936986,0.00032134974,0.00012810878,0.000119567856,0.000032347423,0.000028757157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009431797,0.00010019273,0.00012880248,0.00007937849,0.00009737219,0.000015624113,0.000121696474,0.00003532263,0.0000061506776],"category_scores_gemma":[0.00021081929,0.00006951347,0.000040428666,0.00015531052,0.00011755977,0.00006639109,0.00007846599,0.00011462495,0.0000012983968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006870739,0.000903106,0.001144862,0.000029741892,0.000030054283,0.00093609764,0.004744684,0.14428207,0.74021953,0.10418259,0.000046879988,0.0027932716],"study_design_scores_gemma":[0.00043146245,0.0002330668,0.00013183095,0.000012012024,0.0000047560934,0.00037455314,0.0005459814,0.9763852,0.016350593,0.0054161614,0.000011070323,0.00010330913],"about_ca_topic_score_codex":0.0002496282,"about_ca_topic_score_gemma":0.00015361843,"teacher_disagreement_score":0.83210313,"about_ca_system_score_codex":0.000029034009,"about_ca_system_score_gemma":0.000026955131,"threshold_uncertainty_score":0.2834677},"labels":[],"label_agreement":null},{"id":"W1976342364","doi":"10.1523/jneurosci.2851-14.2014","title":"Dynamic Divisive Normalization Predicts Time-Varying Value Coding in Decision-Related Circuits","year":2014,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":100,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Eye Institute","keywords":"Normalization (sociology); Computer science; Sensory system; Coding (social sciences); Stimulus (psychology); Neuroscience; Psychology; Cognitive psychology; Mathematics; Statistics","score_opus":0.017778042105333267,"score_gpt":0.25854723571220395,"score_spread":0.24076919360687069,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976342364","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9726228,0.000011660318,0.02417451,0.00026288323,0.002202479,0.00014377928,0.0000022193212,0.000027093118,0.0005525556],"genre_scores_gemma":[0.9986695,0.000096157826,0.00008574445,0.0009754578,0.000034476183,0.000001145675,3.4298694e-7,0.000016327598,0.0001208224],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976253,0.00022505064,0.0006664363,0.00036820341,0.0007805635,0.00033446474],"domain_scores_gemma":[0.998236,0.0007685365,0.00057523686,0.00018309428,0.00009258069,0.00014456488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007286457,0.00015392053,0.00023410667,0.00046359908,0.00024287,0.00014790356,0.0005366668,0.00006341992,0.0000094507395],"category_scores_gemma":[0.0057987655,0.00013083362,0.00008713504,0.0011886824,0.00013936809,0.001021134,0.00010283303,0.00037248156,0.000016293465],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015739557,0.000065554865,0.00069351424,0.000008026541,4.2546154e-7,0.00008096948,0.00009204986,0.028402388,0.9643934,0.00058347126,0.000022915283,0.0056415424],"study_design_scores_gemma":[0.0008196998,0.00045728503,0.056211997,0.00021533832,0.00000908619,0.000597895,0.0000046822333,0.9247318,0.014106275,0.002460887,0.00020718148,0.00017788699],"about_ca_topic_score_codex":0.0000017505097,"about_ca_topic_score_gemma":8.014897e-7,"teacher_disagreement_score":0.9502871,"about_ca_system_score_codex":0.00009097613,"about_ca_system_score_gemma":0.000064943146,"threshold_uncertainty_score":0.69420826},"labels":[],"label_agreement":null},{"id":"W1976545315","doi":"10.1016/s0378-5955(02)00518-x","title":"Changes in cat primary auditory cortex after minor-to-moderate pure-tone induced hearing loss","year":2002,"lang":"en","type":"article","venue":"Hearing Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":70,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"American Tinnitus Association","keywords":"Tonotopy; CATS; Auditory cortex; Hearing loss; Audiology; Carnivora; Electrophysiology; Excitatory postsynaptic potential; Medicine; Biology; Anesthesia; Internal medicine; Inhibitory postsynaptic potential","score_opus":0.1512696613035192,"score_gpt":0.3587608409025686,"score_spread":0.2074911795990494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976545315","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937418,0.000035470945,0.000007648939,0.0029555238,0.00055491395,0.0005254147,0.0000045637726,0.000071322,0.0021033594],"genre_scores_gemma":[0.9933233,0.0000887973,0.000053185602,0.000993135,0.0003738738,0.00016589857,0.0000015458338,0.000043280837,0.004956986],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99674135,0.00031595427,0.00023162423,0.0007984738,0.00093375397,0.0009788672],"domain_scores_gemma":[0.9988206,0.0003677414,0.000030978583,0.00045344917,0.00008638983,0.00024084734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008519272,0.00018066252,0.00023280637,0.0006551158,0.00029788818,0.00021409393,0.00030471012,0.00012882493,0.00018935716],"category_scores_gemma":[0.00042815323,0.00017738332,0.000041740474,0.0010262788,0.00011791118,0.00021352047,0.0004637187,0.0008111842,0.0005349099],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016932834,0.00014871439,0.005952802,0.000087450004,0.0000022277088,0.00040191077,0.00049105944,0.0000500232,0.9820731,0.00006842697,0.00060712843,0.009947827],"study_design_scores_gemma":[0.0013471205,0.00089393504,0.82197267,0.00043839356,0.0000050955546,0.00014452999,0.00008696373,0.027070617,0.1406097,0.00046971368,0.0060988357,0.00086242676],"about_ca_topic_score_codex":0.00028704986,"about_ca_topic_score_gemma":0.0005690153,"teacher_disagreement_score":0.8414634,"about_ca_system_score_codex":0.00037278008,"about_ca_system_score_gemma":0.000046007546,"threshold_uncertainty_score":0.7233482},"labels":[],"label_agreement":null},{"id":"W1976724202","doi":"10.3389/fnsys.2013.00029","title":"Learning not to feel: reshaping the resolution of tactile perception","year":2013,"lang":"en","type":"article","venue":"Frontiers in Systems Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"European Commission; Compagnia di San Paolo","keywords":"Tactile perception; Perception; Psychology; Cognitive psychology; Resolution (logic); Computer science; Neuroscience; Artificial intelligence","score_opus":0.02904072767051868,"score_gpt":0.25252636218520275,"score_spread":0.22348563451468406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976724202","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9788992,0.000018087776,0.013756495,0.0009152021,0.0047976105,0.0008573,0.0000031112731,0.000065680826,0.00068733],"genre_scores_gemma":[0.9972677,0.00001996265,0.00015640506,0.0009999418,0.00006275787,0.000066829416,3.4602886e-7,0.00001459653,0.0014114536],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978066,0.00040194634,0.00036643396,0.00053585175,0.0005247946,0.0003643687],"domain_scores_gemma":[0.99925685,0.00011895508,0.0001885919,0.00030320208,0.00005417238,0.00007821422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000521241,0.0001311856,0.00018198189,0.00024323404,0.00032798614,0.00016512172,0.0004750974,0.00005169469,0.0000049172495],"category_scores_gemma":[0.0012249091,0.0000990204,0.00004697748,0.0010537734,0.00020512471,0.0005020996,0.000116912845,0.00028170095,0.000029112383],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017185002,0.00001740166,0.0029662661,0.00002215336,2.0556784e-7,0.0000021335,0.0004141461,0.019239832,0.97259563,0.00023223551,0.0028541118,0.0016386857],"study_design_scores_gemma":[0.00027915818,0.00045731853,0.10583622,0.00017268096,0.0000044677627,0.000047343194,0.0021035713,0.86175627,0.020128297,0.00014197321,0.008753345,0.0003193628],"about_ca_topic_score_codex":0.00030458815,"about_ca_topic_score_gemma":0.000003412707,"teacher_disagreement_score":0.9524673,"about_ca_system_score_codex":0.00010285596,"about_ca_system_score_gemma":0.000026006048,"threshold_uncertainty_score":0.40379345},"labels":[],"label_agreement":null},{"id":"W1977264478","doi":"10.1016/j.neuroimage.2013.05.104","title":"Beta coherence within human ventromedial prefrontal cortex precedes affective value choices","year":2013,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; York University; University of Toronto; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Ontario Ministry of Economic Development and Innovation","keywords":"Ventromedial prefrontal cortex; Psychology; Cognitive psychology; Facial expression; Valence (chemistry); Prefrontal cortex; Cognition; Neuroscience; Communication","score_opus":0.021866371095576084,"score_gpt":0.26005574297095835,"score_spread":0.23818937187538225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977264478","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98910266,0.000007009623,0.000040582367,0.0001752009,0.0012022168,0.00084820314,0.000027850258,0.00019581722,0.008400439],"genre_scores_gemma":[0.9969833,0.0000044989542,0.00006581178,0.00063794234,0.00021495415,0.000094260824,0.000009996905,0.00003637367,0.0019528887],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99804676,0.00022520476,0.00024915236,0.0007166044,0.00038281968,0.0003794681],"domain_scores_gemma":[0.99903995,0.00025442484,0.00018272559,0.00033803692,0.00004074098,0.00014410393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009005491,0.00023993746,0.00020961228,0.0000776155,0.00030762897,0.000245149,0.0003710744,0.000057472414,0.00030842196],"category_scores_gemma":[0.00024797168,0.00021006895,0.000088032815,0.00020256349,0.00023397741,0.0006961829,0.00014380101,0.00034996928,0.0003979962],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016431384,0.000109277,0.00088985317,0.000014967066,0.0000031464801,0.000027346357,0.00010786923,0.00002445645,0.99654436,0.0011545407,0.00031333094,0.00079443667],"study_design_scores_gemma":[0.0009142845,0.0010540097,0.7171319,0.000032878746,0.000025809977,0.00007658537,0.000032709097,0.0064751892,0.27053368,0.002694058,0.00058909773,0.00043979258],"about_ca_topic_score_codex":0.00022403877,"about_ca_topic_score_gemma":0.00005926236,"teacher_disagreement_score":0.7260107,"about_ca_system_score_codex":0.000043521144,"about_ca_system_score_gemma":0.000025303265,"threshold_uncertainty_score":0.8566363},"labels":[],"label_agreement":null},{"id":"W1977489499","doi":"10.1016/j.jneumeth.2004.09.004","title":"Spike source localization with tetrodes","year":2004,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"London Health Sciences Centre","funders":"","keywords":"Spike (software development); Spike sorting; Amplitude; Set (abstract data type); Cluster analysis; Computer science; Position (finance); Artificial intelligence; Pattern recognition (psychology); Sorting; Nonlinear system; Biological system; Physics; Algorithm; Optics; Biology","score_opus":0.05269744113860647,"score_gpt":0.35196036014982374,"score_spread":0.29926291901121727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977489499","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3183507,0.000009770048,0.67996573,0.00058705907,0.00077064306,0.00006413358,5.7340634e-7,0.000021520726,0.00022985046],"genre_scores_gemma":[0.94885045,0.00004948306,0.047271524,0.003398049,0.0001355641,0.0000012911427,7.014017e-8,0.000021028178,0.00027255705],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982083,0.00030379088,0.00035800252,0.00029307455,0.00057763176,0.00025919938],"domain_scores_gemma":[0.9988988,0.00021528444,0.00044452082,0.0001815267,0.00011245915,0.00014738816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008684323,0.00013912882,0.00020180803,0.00023716166,0.0002411848,0.00013482702,0.00039958977,0.00003658716,0.0000054528978],"category_scores_gemma":[0.0019058416,0.00009189301,0.000081887854,0.0010267337,0.00027727292,0.0006384527,0.000048187656,0.00028109012,0.0000027012375],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047375455,0.00006774598,0.00018780734,0.000005048259,4.7813745e-7,0.000056435278,0.00007938993,0.045137,0.9424375,0.0011818539,0.000012951617,0.010786355],"study_design_scores_gemma":[0.0010130904,0.002156224,0.002713867,0.00006879406,0.000025457013,0.0031368618,0.00006744262,0.017128116,0.94951665,0.0048251175,0.0190777,0.00027067124],"about_ca_topic_score_codex":0.0000035838218,"about_ca_topic_score_gemma":8.9465135e-7,"teacher_disagreement_score":0.6326942,"about_ca_system_score_codex":0.00006228008,"about_ca_system_score_gemma":0.000119229866,"threshold_uncertainty_score":0.37472883},"labels":[],"label_agreement":null},{"id":"W1977581219","doi":"10.1142/s0219635205000720","title":"NEURAL SYNCHRONY AND GRAY MATTER VARIATION IN HUMAN MALES AND FEMALES: AN INTEGRATION OF 40 HZ GAMMA SYNCHRONY AND MRI MEASURES","year":2005,"lang":"en","type":"article","venue":"Journal of Integrative Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Hospital Edmonton","funders":"","keywords":"Neuroscience; Psychology; Dissociation (chemistry); Brain size; Phase synchronization; Synchronization (alternating current); Cognition; Brain activity and meditation; Electroencephalography; Variation (astronomy); Oddball paradigm; Audiology; Biology; Magnetic resonance imaging; Medicine; Computer science; Event-related potential; Phase (matter); Physics","score_opus":0.0347162278895106,"score_gpt":0.29355647934255036,"score_spread":0.25884025145303974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977581219","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99502945,0.000118793876,0.0031549002,0.0011367941,0.00024921616,0.0001835282,0.000008529254,0.000008383753,0.00011039471],"genre_scores_gemma":[0.99827325,0.00037980065,0.00039752616,0.00078398915,0.000076522425,0.0000034328434,4.5892526e-7,0.000012494842,0.0000725058],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9979676,0.000346052,0.00060457666,0.00043529013,0.0004264501,0.0002200369],"domain_scores_gemma":[0.9988009,0.00022150812,0.00054837816,0.00013640532,0.00016146207,0.00013135916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058066886,0.00023334501,0.00033359596,0.0004019286,0.00018598282,0.00019382167,0.00021555241,0.000066634675,0.000010409551],"category_scores_gemma":[0.0006067984,0.0001588674,0.000047476115,0.00035674893,0.00059861725,0.0017056428,0.000063163236,0.0004046643,4.867857e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008585699,0.000095334966,0.011419687,0.000017123819,0.0000011852343,0.000015502697,0.000993253,0.00017160864,0.98156446,0.0012502287,0.00003261795,0.0043531577],"study_design_scores_gemma":[0.0008220789,0.0020480235,0.8071274,0.00024493536,0.000024726092,0.0008670211,0.0005012829,0.05579342,0.1309355,0.0012068553,0.00013310809,0.00029565278],"about_ca_topic_score_codex":0.000032472213,"about_ca_topic_score_gemma":0.00019896381,"teacher_disagreement_score":0.8506289,"about_ca_system_score_codex":0.00006126269,"about_ca_system_score_gemma":0.000042031657,"threshold_uncertainty_score":0.64784247},"labels":[],"label_agreement":null},{"id":"W1977695187","doi":"10.1016/s0165-0270(03)00126-2","title":"Intracellular recording and labeling of neurons in midline structures of the rat brain in vivo using sharp electrodes","year":2003,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Hippocampal formation; In vivo; Intracellular; Neuroscience; Superior sagittal sinus; Biomedical engineering; Biology; Anatomy; Medicine; Cell biology; Internal medicine","score_opus":0.06571531432102047,"score_gpt":0.3605370556131282,"score_spread":0.29482174129210775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977695187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992352,0.00009533316,0.0060763406,0.0004110322,0.0009266769,0.00011308609,0.0000016903253,0.000002245706,0.000021595968],"genre_scores_gemma":[0.9790052,0.000089134264,0.020462714,0.00039177111,0.000018927838,3.727711e-7,9.3218455e-9,0.000010687888,0.00002114787],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9970087,0.0014686751,0.0006907712,0.0002616373,0.0003200334,0.0002502091],"domain_scores_gemma":[0.9981388,0.0009382543,0.0006523434,0.00016412431,0.000054247328,0.000052220294],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002394194,0.00012648324,0.0003166046,0.00036038307,0.00008485583,0.00003698649,0.00033683795,0.000044522658,0.0000044279823],"category_scores_gemma":[0.00904927,0.00008836444,0.00007728956,0.0013300708,0.00023611756,0.0003061742,0.000069988215,0.00044450813,9.769024e-9],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028344311,0.000027862805,0.0035951831,0.000017589498,3.4815608e-7,0.000014928291,0.00007131953,0.0047713243,0.98937047,0.00088217866,0.000002477453,0.0012179957],"study_design_scores_gemma":[0.0002897349,0.0001776698,0.0036102894,0.00006193892,0.0000064246815,0.0003160362,0.000027738877,0.029756133,0.9620894,0.003475007,0.00011544916,0.000074129435],"about_ca_topic_score_codex":0.000015350464,"about_ca_topic_score_gemma":0.000008517726,"teacher_disagreement_score":0.027281,"about_ca_system_score_codex":0.00003372824,"about_ca_system_score_gemma":0.00009923769,"threshold_uncertainty_score":0.9992979},"labels":[],"label_agreement":null},{"id":"W1977767362","doi":"10.1016/j.ijpsycho.2007.12.004","title":"Auditory processing indexed by stimulus-induced alpha desynchronization in children","year":2008,"lang":"en","type":"article","venue":"International Journal of Psychophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Magnetoencephalography; Stimulus (psychology); Audiology; Auditory cortex; Psychology; Neuroscience; Electroencephalography; Medicine; Cognitive psychology","score_opus":0.016944688269674248,"score_gpt":0.28065772064693467,"score_spread":0.2637130323772604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977767362","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959335,0.000030177773,0.0011422866,0.0005579635,0.0021290507,0.00007313552,0.0000063690204,0.000011446738,0.00011606782],"genre_scores_gemma":[0.99812126,0.00012382152,0.00009005662,0.00087348046,0.00070980313,0.000002377355,0.000007981037,0.00001239077,0.000058840815],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99884176,0.00009847206,0.00039250153,0.00019756745,0.0003246477,0.00014506605],"domain_scores_gemma":[0.9992565,0.000071174916,0.0003882921,0.00006725071,0.00016875404,0.000048042442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008764242,0.00010437941,0.00015350233,0.0002442259,0.000060264498,0.000018918792,0.00036744185,0.00007667626,0.000039811668],"category_scores_gemma":[0.00019281171,0.00009222303,0.000060440376,0.00017790847,0.00007502767,0.00033694753,0.000030653096,0.00026649618,0.000013889826],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018641743,0.00017621504,0.0046801446,0.000001269217,0.00001142146,0.00003251114,0.000062196596,0.0005338472,0.9847048,0.000032278982,0.0015565169,0.008022362],"study_design_scores_gemma":[0.008895811,0.0016406577,0.7436428,0.0001726185,0.000021452723,0.0036830194,0.000039277493,0.018512513,0.21409994,0.006850291,0.0017220849,0.0007195086],"about_ca_topic_score_codex":0.000010435597,"about_ca_topic_score_gemma":0.0000013955228,"teacher_disagreement_score":0.7706049,"about_ca_system_score_codex":0.00010845945,"about_ca_system_score_gemma":0.0000821928,"threshold_uncertainty_score":0.3760746},"labels":[],"label_agreement":null},{"id":"W1977821053","doi":"10.1152/jn.00569.2004","title":"Tone Frequency Maps and Receptive Fields in the Developing Chinchilla Auditory Cortex","year":2004,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Tonotopy; Auditory cortex; Neuroscience; Receptive field; Chinchilla; Somatosensory system; Electrophysiology; Psychology; Audiology; Biology; Anatomy; Medicine","score_opus":0.020963745097296312,"score_gpt":0.26620998961003206,"score_spread":0.24524624451273574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977821053","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949203,0.000012851881,0.00010269157,0.0035352802,0.0010876297,0.000066775385,0.0000015699137,0.000004548125,0.000268313],"genre_scores_gemma":[0.9947778,0.00035146304,0.00013839116,0.0044062263,0.00030283738,0.0000010808843,2.581286e-7,0.0000064265905,0.00001550358],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99913603,0.00018712586,0.00025849024,0.00015358365,0.00012184079,0.00014295356],"domain_scores_gemma":[0.99942213,0.00023274681,0.00019459054,0.000092082366,0.000030386234,0.000028078786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000066715555,0.000089214016,0.00015886259,0.00009070437,0.00008682434,0.000017874765,0.00019651547,0.000049858205,0.0000050064073],"category_scores_gemma":[0.00030143704,0.000055985878,0.00004403175,0.00016685703,0.00010253274,0.00011709369,0.00003784654,0.00041501006,0.000004772817],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051746458,0.00003663227,0.00004741624,0.0000057247275,0.0000022528418,0.0002655401,0.0002563378,0.00041822807,0.9938057,0.004024805,0.000046997193,0.001038639],"study_design_scores_gemma":[0.0017037718,0.0030004913,0.8358381,0.000084603176,0.000016443486,0.0028646698,0.00015614276,0.00018282831,0.006684131,0.14740916,0.0017587111,0.00030096533],"about_ca_topic_score_codex":0.000008400587,"about_ca_topic_score_gemma":0.000005256928,"teacher_disagreement_score":0.9871215,"about_ca_system_score_codex":0.000027944774,"about_ca_system_score_gemma":0.000050776154,"threshold_uncertainty_score":0.22830378},"labels":[],"label_agreement":null},{"id":"W1977896286","doi":"10.1364/brain.2015.brt2b.1","title":"Point-source Maps: Relations between Mesoscopic Imaging of Mouse Cortex and Neuronal Spiking","year":2015,"lang":"en","type":"article","venue":"Optics in the Life Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mesoscopic physics; Neuroscience; Cortex (anatomy); Cortical neurons; Computer science; Biology; Physics","score_opus":0.058447401440586,"score_gpt":0.2909712228951762,"score_spread":0.2325238214545902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977896286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928266,0.000045829845,0.0004668879,0.0024161534,0.00017833704,0.00010829022,0.0000056358863,0.000015566553,0.003936742],"genre_scores_gemma":[0.99839413,0.000012541427,0.0006500093,0.0006481735,0.000048714024,0.0000021917685,7.403218e-7,0.0000047476906,0.0002387491],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988457,0.00013659487,0.00020536422,0.000245539,0.00039158534,0.00017522495],"domain_scores_gemma":[0.99910104,0.00056276843,0.00011306835,0.0001388155,0.000023020975,0.000061295555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009332036,0.00007583922,0.00009909064,0.000110955516,0.00019338127,0.000086691594,0.00035101763,0.000019006233,0.00000270941],"category_scores_gemma":[0.001204776,0.000052691365,0.000018764204,0.00047588642,0.00053143565,0.0002760184,0.00010344258,0.00014451792,0.000004662626],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028321434,0.00016893298,0.71924114,0.000045509987,0.000006349006,0.000016751019,0.004762627,0.010295573,0.11367256,0.14669688,0.0010249713,0.0040403805],"study_design_scores_gemma":[0.002483414,0.0014161589,0.30276507,0.0002578613,0.000119008575,0.00014359374,0.010186708,0.5260206,0.026741207,0.12577716,0.0029103886,0.0011788404],"about_ca_topic_score_codex":0.000026135593,"about_ca_topic_score_gemma":0.0000046597384,"teacher_disagreement_score":0.515725,"about_ca_system_score_codex":0.000009782513,"about_ca_system_score_gemma":0.000059227546,"threshold_uncertainty_score":0.21486914},"labels":[],"label_agreement":null},{"id":"W1977931422","doi":"10.1371/journal.pone.0077105","title":"Native Gating Behavior of Ion Channels in Neurons with Null-Deviation Modeling","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Key Research and Development Program of China; Canadian Institutes of Health Research; National Natural Science Foundation of China; National Science Foundation","keywords":"Ion channel; Waveform; Biological system; Null (SQL); Gating; Patch clamp; Amplifier; Spike (software development); Hidden Markov model; hERG; Computer science; Markov model; Physics; Standard deviation; Markov chain; Biophysics; Voltage; Electrophysiology; Chemistry; Biology; Mathematics; Speech recognition; Potassium channel; Neuroscience; Telecommunications; Statistics; Bandwidth (computing)","score_opus":0.07793491859694311,"score_gpt":0.24027495358596082,"score_spread":0.16234003498901772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977931422","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986818,0.0000019898305,0.00037610624,0.00020425822,0.000047032136,0.00044847652,0.0000031610255,0.000026566047,0.00021062062],"genre_scores_gemma":[0.9994096,0.000006656781,0.00027032566,0.00009314796,0.000032745047,0.00008874719,0.0000028095567,0.0000121550065,0.00008378232],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992199,0.000048317448,0.00016214803,0.0002012681,0.0002392937,0.00012907681],"domain_scores_gemma":[0.99965054,0.00007144986,0.000090272624,0.0000904942,0.000071336144,0.000025923688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000055661018,0.0000724774,0.00011145209,0.000089142115,0.000047469664,0.000022691354,0.000065628374,0.000026484,0.00002073925],"category_scores_gemma":[0.00018088195,0.00006179683,0.000013919173,0.00023261101,0.000020869154,0.0002727667,0.000023317414,0.00011665912,0.000010552308],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010416964,0.00040996305,0.0020552361,0.000020035337,0.0000018035817,0.0000015871061,0.00021070923,0.0052147727,0.9914932,0.00021253762,8.1819417e-7,0.00036889003],"study_design_scores_gemma":[0.00019345534,0.00015547535,0.0017817647,0.00009179347,0.000010387593,9.2714816e-7,0.00004077075,0.6903238,0.30713362,0.00020013229,1.0531451e-7,0.000067711735],"about_ca_topic_score_codex":0.000093191826,"about_ca_topic_score_gemma":0.000012945824,"teacher_disagreement_score":0.6851091,"about_ca_system_score_codex":0.000024175282,"about_ca_system_score_gemma":0.000009726029,"threshold_uncertainty_score":0.25200018},"labels":[],"label_agreement":null},{"id":"W1977952333","doi":"10.1213/01.ane.0000082994.22466.dd","title":"Human Auditory Steady-State Responses: The Effects of Recording Technique and State of Arousal","year":2003,"lang":"en","type":"article","venue":"Anesthesia & Analgesia","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":100,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"","keywords":"Arousal; State (computer science); Audiology; Psychology; Steady state (chemistry); Neuroscience; Cognitive psychology; Computer science; Medicine; Chemistry","score_opus":0.012311733451813345,"score_gpt":0.2443501744354519,"score_spread":0.23203844098363854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977952333","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998794,0.000055969867,0.00024281231,0.00017232941,0.00007086888,0.0004175732,0.0000015069064,0.000034827633,0.00021009494],"genre_scores_gemma":[0.99880654,0.00009632091,0.000080667676,0.00024942713,0.000016526199,0.000027591905,4.4698783e-7,0.00002245619,0.00070004835],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99837106,0.00059281033,0.00029655758,0.0002973656,0.00022575307,0.00021641949],"domain_scores_gemma":[0.99866736,0.0006708514,0.00026346577,0.00030752685,0.000040411825,0.000050359435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055233424,0.0001573715,0.0002432222,0.00013165911,0.00017139394,0.000024164874,0.00017615755,0.0000438731,0.0000047430553],"category_scores_gemma":[0.0002996585,0.0001151451,0.000069012305,0.00030381212,0.00025176464,0.000110275956,0.00002048049,0.00016390617,0.0000019718707],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068455956,0.000046817433,0.0016704934,0.000112957714,0.00000684801,0.000117021584,0.00015900718,0.0000145253625,0.99332184,0.0025976726,0.00019530916,0.0016890782],"study_design_scores_gemma":[0.0004211263,0.0009974049,0.04261426,0.00015924797,0.00003880426,0.00039938616,0.000046859644,0.00017400851,0.9442561,0.008603156,0.0020225567,0.00026705544],"about_ca_topic_score_codex":0.00004737995,"about_ca_topic_score_gemma":0.00000800417,"teacher_disagreement_score":0.049065676,"about_ca_system_score_codex":0.00001836082,"about_ca_system_score_gemma":0.000036762995,"threshold_uncertainty_score":0.46954808},"labels":[],"label_agreement":null},{"id":"W1978077482","doi":"10.1167/9.7.7","title":"Cue dynamics underlying rapid detection of animals in natural scenes","year":2009,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":147,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Luminance; Stimulus (psychology); Sensory cue; Artificial intelligence; Discriminative model; Computer science; Computer vision; Pattern recognition (psychology); Communication; Psychology; Cognitive psychology","score_opus":0.029050941150608283,"score_gpt":0.30789157464473094,"score_spread":0.27884063349412264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978077482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977439,0.00015587817,0.000847958,0.00047962737,0.00059019896,0.00005734952,8.3436885e-7,0.000006429327,0.00011779346],"genre_scores_gemma":[0.9995408,0.00013699847,0.0001387544,0.00011464332,0.00004625441,9.992791e-8,1.6938839e-7,0.000005196134,0.000017056222],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999016,0.00008341647,0.00039804194,0.00010937129,0.0002765508,0.00011660294],"domain_scores_gemma":[0.99934447,0.00011005625,0.0003696811,0.00007185728,0.000069744965,0.000034221466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003048986,0.00007623319,0.00016563198,0.00027120585,0.000050076662,0.000028747136,0.00011404341,0.000048302412,0.000004584176],"category_scores_gemma":[0.00027312155,0.00005930099,0.00008657757,0.0003255072,0.000021893104,0.00031576888,0.000010869443,0.00024478868,0.0000010572395],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015407238,0.000051491883,0.0001156098,0.0000059151544,7.6144283e-7,0.000015942205,0.000023603208,0.00027399318,0.8659224,0.00021628352,0.0000047311914,0.13321522],"study_design_scores_gemma":[0.0014903387,0.0039995345,0.32228458,0.0003698232,0.000016490249,0.00051284797,0.00014642887,0.23628777,0.4283502,0.006178309,0.00014245244,0.00022119818],"about_ca_topic_score_codex":0.0000040086397,"about_ca_topic_score_gemma":0.000015210878,"teacher_disagreement_score":0.43757215,"about_ca_system_score_codex":0.000093242794,"about_ca_system_score_gemma":0.000018080542,"threshold_uncertainty_score":0.24182242},"labels":[],"label_agreement":null},{"id":"W1978138011","doi":"10.1523/jneurosci.1322-12.2012","title":"Voltage-Sensitive Dye Imaging Reveals Dynamic Spatiotemporal Properties of Cortical Activity after Spontaneous Muscle Twitches in the Newborn Rat","year":2012,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC; Heart and Stroke Foundation of Canada","keywords":"Somatosensory system; Neuroscience; Sensory system; Cortex (anatomy); Motor cortex; Stimulation; Depolarization; Sensory stimulation therapy; Premovement neuronal activity; Cerebral cortex; Biology; Biophysics","score_opus":0.031236160146251562,"score_gpt":0.2594413764819669,"score_spread":0.22820521633571536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978138011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99700236,0.000036458572,0.0007948488,0.000944072,0.00097460236,0.00018341182,0.00000434782,0.000007693022,0.000052204025],"genre_scores_gemma":[0.9985755,0.0000282427,0.00005168323,0.0012002719,0.000074628806,0.0000028244754,5.4077496e-8,0.000011436957,0.000055373497],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9978791,0.00041136175,0.00043427106,0.00022995844,0.0006659867,0.0003793527],"domain_scores_gemma":[0.9988626,0.00031631705,0.00042917446,0.0002065475,0.00008417791,0.00010115801],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096357206,0.0001536412,0.00024324708,0.00016273823,0.00012493973,0.00008243993,0.00036142275,0.000032433716,0.0000029568098],"category_scores_gemma":[0.0015601418,0.00009481338,0.00010647825,0.0004869546,0.00040102622,0.0010026502,0.00008341153,0.00047939343,0.000002312995],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018844802,0.00018278595,0.004274837,0.0000132035675,3.911513e-7,0.00051596214,0.00046985684,0.00005065788,0.9913963,0.000027491162,0.0000091127,0.0028709332],"study_design_scores_gemma":[0.00035795502,0.0003702338,0.80454165,0.00012674968,0.000020957803,0.004749131,0.00028085767,0.01809686,0.1708854,0.00011845275,0.00023652583,0.00021524563],"about_ca_topic_score_codex":0.000015907586,"about_ca_topic_score_gemma":0.000013503348,"teacher_disagreement_score":0.8205109,"about_ca_system_score_codex":0.000067251625,"about_ca_system_score_gemma":0.00006965707,"threshold_uncertainty_score":0.38663775},"labels":[],"label_agreement":null},{"id":"W1978245656","doi":"10.1023/b:doop.0000005331.66114.05","title":"Magnocellular and parvocellular developmental course in infants during the first year of life","year":2003,"lang":"en","type":"article","venue":"Documenta Ophthalmologica","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":64,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Centre Hospitalier Universitaire Sainte-Justine; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Parvocellular cell; Dissociation (chemistry); Audiology; Psychology; Biology; Developmental psychology; Neuroscience; Chemistry; Medicine; Central nervous system","score_opus":0.021990107101254035,"score_gpt":0.24071122878295445,"score_spread":0.2187211216817004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978245656","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99587387,0.00009805148,0.0000021112128,0.00017954707,0.0001273678,0.00025690944,0.000005774475,0.000013183444,0.0034431745],"genre_scores_gemma":[0.9992644,0.000076851546,0.00009027343,0.00016918656,0.000009343877,0.000018469049,0.0000013742507,0.000009570258,0.00036053316],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989181,0.00010327361,0.00024775942,0.000312552,0.00018416844,0.00023415749],"domain_scores_gemma":[0.9995686,0.00012596863,0.00009427719,0.0001473107,0.000008872987,0.00005496557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021026024,0.00013207058,0.00015317972,0.000046609537,0.00015522873,0.00003729672,0.00017089142,0.000053654152,0.0004194685],"category_scores_gemma":[0.00022148021,0.0000919356,0.00003186313,0.00022011012,0.00015525559,0.00012025187,0.00009761037,0.00013255478,0.000022100132],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016077101,0.00028439602,0.81283617,0.00005904776,0.000010497567,0.00041144041,0.00022605027,0.00007586132,0.1812144,0.0045442083,0.00007879243,0.00009835084],"study_design_scores_gemma":[0.0032390708,0.00052829366,0.7258154,0.0000723385,0.000022256487,0.0016813518,0.0010409012,0.00038878244,0.2578497,0.004511306,0.0041344315,0.0007161367],"about_ca_topic_score_codex":0.000020485006,"about_ca_topic_score_gemma":0.0000025829227,"teacher_disagreement_score":0.08702074,"about_ca_system_score_codex":0.000031435135,"about_ca_system_score_gemma":0.0000233114,"threshold_uncertainty_score":0.4592886},"labels":[],"label_agreement":null},{"id":"W1978322265","doi":"10.1016/j.schres.2009.09.036","title":"Low-frequency EEG oscillations associated with information processing in schizophrenia","year":2009,"lang":"en","type":"article","venue":"Schizophrenia Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":74,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Electroencephalography; Psychology; Mismatch negativity; Schizophrenia (object-oriented programming); Neuroscience; Error-related negativity; Negativity effect; Stimulus (psychology); Event-related potential; Brain activity and meditation; Audiology; Functional magnetic resonance imaging; Cognitive psychology; Anterior cingulate cortex; Cognition; Medicine; Psychiatry","score_opus":0.04096416304941674,"score_gpt":0.31160271545378526,"score_spread":0.2706385524043685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978322265","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9900173,0.000021826243,0.0001710889,0.0020141432,0.00009605386,0.0006138256,0.000020893845,0.00016907495,0.0068758056],"genre_scores_gemma":[0.998945,0.000019849685,0.00040359952,0.00028834905,0.00005580868,0.00003754485,0.00003679553,0.000017087232,0.00019596785],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9967866,0.00036666592,0.0004193719,0.0004529338,0.0012356208,0.00073881226],"domain_scores_gemma":[0.9988074,0.00024407792,0.00013323124,0.00033440255,0.00032506627,0.00015586682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010310033,0.00020300513,0.00020512659,0.000931034,0.0006332685,0.0004493307,0.00039943107,0.00014115471,0.000044543965],"category_scores_gemma":[0.0022200812,0.00016903879,0.00004431374,0.0033461952,0.00019402821,0.0018051249,0.00006447249,0.0009680787,0.00014731288],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0039185807,0.00082565413,0.0022145673,0.000095220734,0.000008631216,0.00014326451,0.0009807189,0.0018725838,0.56004995,0.06273795,0.0006925451,0.3664603],"study_design_scores_gemma":[0.017456684,0.0034572217,0.67238015,0.001622188,0.000025390857,0.00012363774,0.0003558982,0.12497562,0.04601447,0.13083927,0.000691078,0.0020584012],"about_ca_topic_score_codex":0.000036946378,"about_ca_topic_score_gemma":0.00020931732,"teacher_disagreement_score":0.6701656,"about_ca_system_score_codex":0.00028098538,"about_ca_system_score_gemma":0.00041924074,"threshold_uncertainty_score":0.68932015},"labels":[],"label_agreement":null},{"id":"W1978427518","doi":"10.1016/j.concog.2013.04.011","title":"Unconscious and out of control: Subliminal priming is insensitive to observer expectations","year":2013,"lang":"en","type":"article","venue":"Consciousness and Cognition","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Ottawa","funders":"","keywords":"Subliminal stimuli; Psychology; Unconscious mind; Observer (physics); Priming (agriculture); Cognitive psychology; Control (management); Social psychology; Psychoanalysis; Computer science; Artificial intelligence","score_opus":0.028442590327767886,"score_gpt":0.2466944218397557,"score_spread":0.21825183151198782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978427518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961892,0.000031729556,0.0013273134,0.0012777706,0.00019010821,0.00043132657,0.00004901243,0.000030065816,0.0004735146],"genre_scores_gemma":[0.99773765,0.000023939841,0.00007173521,0.0019724052,0.000028361255,0.000055283603,0.0000050072777,0.00000967802,0.00009595782],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991781,0.000059844773,0.00018212471,0.00029751047,0.00013056336,0.0001518208],"domain_scores_gemma":[0.9992793,0.0002685257,0.00008572617,0.000082316044,0.00018610242,0.00009800846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005580676,0.0001117315,0.00015926747,0.00010236721,0.00017403842,0.00008435079,0.000038046957,0.000045630135,0.00003491113],"category_scores_gemma":[0.0002049796,0.00010227744,0.000027466805,0.00012521264,0.0001633048,0.00023805679,0.000035809575,0.00006660611,0.000023598586],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000099596204,0.00008103004,0.0030846586,0.000055948556,0.000014116709,0.000010156592,0.0028840979,0.000004077134,0.9490479,0.0019092067,0.00029355517,0.042515647],"study_design_scores_gemma":[0.009375416,0.0021172483,0.31316537,0.0006005723,0.000481654,0.0002971135,0.015704079,0.026307791,0.5874773,0.041921545,0.0006203691,0.0019314962],"about_ca_topic_score_codex":0.0000435528,"about_ca_topic_score_gemma":0.000066518354,"teacher_disagreement_score":0.36157057,"about_ca_system_score_codex":0.000008846922,"about_ca_system_score_gemma":0.000020186813,"threshold_uncertainty_score":0.41707528},"labels":[],"label_agreement":null},{"id":"W1978433351","doi":"10.1007/s10162-002-3039-1","title":"Neural Correlates of an Auditory Afterimage in Primary Auditory Cortex","year":2003,"lang":"en","type":"article","venue":"Journal of the Association for Research in Otolaryngology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Fondation pour la Recherche Médicale","keywords":"Octave (electronics); Auditory cortex; Audiology; White noise; Noise (video); Acoustics; Physics; Mathematics; Medicine; Statistics","score_opus":0.043759093443852114,"score_gpt":0.3372951359733874,"score_spread":0.2935360425295353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978433351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956611,0.00003208856,0.000009305946,0.00074084895,0.002468879,0.00035078154,0.0000103559105,0.0000035078995,0.00072313834],"genre_scores_gemma":[0.9990559,0.000036491394,0.00005025972,0.00017980648,0.0001753213,0.000014264656,0.0000010255881,0.000012876822,0.00047402372],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9963158,0.0019434715,0.00057095225,0.00017735352,0.00062298594,0.00036947543],"domain_scores_gemma":[0.99682564,0.0020027885,0.0006714606,0.00017347571,0.0002684765,0.00005814482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044985805,0.00008312467,0.00027114796,0.00041425205,0.00010262078,0.0000251427,0.0004142342,0.00014795053,0.00001156846],"category_scores_gemma":[0.0060007223,0.000063632906,0.00012424069,0.0005332136,0.00011891059,0.00036931812,0.00006699487,0.0008526872,0.0000024196743],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005637717,0.0005164997,0.22104423,0.000059942147,0.000013369369,0.00005657853,0.00019178061,0.0006842978,0.772741,0.0016829008,0.0019515087,0.00049411476],"study_design_scores_gemma":[0.0016587412,0.00081583223,0.97467566,0.00004723946,0.000006917699,0.000078763835,0.00005173167,0.0029162082,0.009205562,0.008010479,0.0024395164,0.00009333892],"about_ca_topic_score_codex":0.000011125451,"about_ca_topic_score_gemma":0.000042111948,"teacher_disagreement_score":0.76353544,"about_ca_system_score_codex":0.00070716377,"about_ca_system_score_gemma":0.00022777257,"threshold_uncertainty_score":0.7183859},"labels":[],"label_agreement":null},{"id":"W1978632460","doi":"10.1103/physreve.75.021918","title":"Envelope gating and noise shaping in populations of noisy neurons","year":2007,"lang":"en","type":"article","venue":"Physical Review E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Narrowband; Envelope (radar); Noise (video); SIGNAL (programming language); Physics; Transmission (telecommunications); Gating; Acoustics; Interference (communication); Stochastic resonance; Modulation (music); Computer science; Telecommunications; Optics; Channel (broadcasting); Neuroscience; Artificial intelligence","score_opus":0.09443672082198652,"score_gpt":0.35517813881146965,"score_spread":0.26074141798948314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978632460","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971955,0.00049531646,0.00020938682,0.00055323256,0.000058694393,0.00018980115,0.0000023653997,0.000014936921,0.0012807635],"genre_scores_gemma":[0.99791026,0.0008845491,0.00010773142,0.0010391431,0.000032467717,0.0000036344152,0.0000010234446,0.0000061657647,0.00001504668],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993338,0.000040518233,0.00020909992,0.00017576768,0.00011629393,0.00012449599],"domain_scores_gemma":[0.99954903,0.00022525716,0.00007963975,0.0000937547,0.000012698755,0.000039636623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017364045,0.00006411913,0.00016503454,0.00003474092,0.000038593334,0.000007865016,0.00005301606,0.000008568694,0.0000047769704],"category_scores_gemma":[0.0007982162,0.000054272692,0.00003879384,0.0003201018,0.000035403442,0.00010466669,0.000043676326,0.00010313951,0.000005859042],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000541556,0.00010613278,0.0038433806,0.00054628775,6.3476915e-7,0.0000068984027,0.00006683678,0.00002967938,0.8782551,0.04096381,0.000027508353,0.076148264],"study_design_scores_gemma":[0.0009006003,0.00034531477,0.7959497,0.006165619,0.00008436376,0.00004406175,0.000026368143,0.065275304,0.09273051,0.03284295,0.004778087,0.0008571533],"about_ca_topic_score_codex":0.00001433344,"about_ca_topic_score_gemma":0.000013507682,"teacher_disagreement_score":0.7921063,"about_ca_system_score_codex":0.000009405957,"about_ca_system_score_gemma":0.00000591198,"threshold_uncertainty_score":0.22131762},"labels":[],"label_agreement":null},{"id":"W1978638316","doi":"10.3389/neuro.10.005.2008","title":"Modeling Thalamocortical Cell: Impact of Ca2+ Channel Distribution and Cell Geometry on Firing Pattern","year":2008,"lang":"en","type":"article","venue":"Frontiers in Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Soma; Tonic (physiology); Geometry; Amplitude; Bursting; Electrophysiology; Compartment (ship); Physics; Biophysics; Conductance; Chemistry; Calcium channel; Neuroscience; Calcium; Mathematics; Biology; Optics; Geology","score_opus":0.02838282309121968,"score_gpt":0.2526632734867072,"score_spread":0.22428045039548752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978638316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74829876,0.000012917363,0.250954,0.000058387213,0.00045017523,0.00011751503,0.0000527103,0.000017995082,0.000037551337],"genre_scores_gemma":[0.99942267,0.000039283026,0.00025613807,0.00021298046,0.00002278422,0.0000048725233,0.000009945448,0.000010332533,0.000020986161],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984462,0.00006809901,0.00026532394,0.00050744927,0.0004366519,0.0002762705],"domain_scores_gemma":[0.99953324,0.00013820773,0.0000872066,0.00011277775,0.000035164598,0.000093385635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000109994835,0.00014627926,0.00016647995,0.00019311499,0.00020116649,0.000030060488,0.00018109538,0.00004272003,0.0000015555487],"category_scores_gemma":[0.00017273279,0.00013409117,0.000064998094,0.0005583443,0.00021309852,0.00022863525,0.000077672084,0.00020287637,0.000001364494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003126848,0.00014444946,0.018988881,0.000014833359,3.252888e-7,0.000030456957,0.000044771004,0.95808214,0.021904627,0.00004636077,0.0000884167,0.0006234764],"study_design_scores_gemma":[0.00029498836,0.0002187133,0.06838433,0.000012462081,0.0000015913758,0.000030802075,0.00000602663,0.92632926,0.0035606178,0.0010432177,0.000001839548,0.000116136325],"about_ca_topic_score_codex":0.000021537173,"about_ca_topic_score_gemma":3.6966506e-7,"teacher_disagreement_score":0.25112393,"about_ca_system_score_codex":0.00007628272,"about_ca_system_score_gemma":0.00005969121,"threshold_uncertainty_score":0.54680794},"labels":[],"label_agreement":null},{"id":"W1978907976","doi":"10.1103/physreve.79.011914","title":"Noise shaping in neural populations","year":2009,"lang":"en","type":"article","venue":"Physical Review E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Consejo Nacional de Ciencia y Tecnología","keywords":"Excitatory postsynaptic potential; Information transmission; Renewal theory; Coupling (piping); Coupling strength; Stimulus (psychology); Train; Artificial neural network; Statistical physics; Biological system; Interval (graph theory); Computer science; Noise (video); Physics; Inhibitory postsynaptic potential; Mathematics; Neuroscience; Statistics; Artificial intelligence; Biology; Combinatorics","score_opus":0.109489927054661,"score_gpt":0.3650640978075039,"score_spread":0.2555741707528429,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978907976","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97878677,0.0018682523,0.00007582744,0.012461719,0.00021569202,0.0004603769,0.0000037215602,0.000098783414,0.006028858],"genre_scores_gemma":[0.9905026,0.000742909,0.000016942256,0.008606111,0.00007641555,0.0000068990944,0.0000020397913,0.0000041049543,0.00004197381],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934584,0.000053781532,0.00013795201,0.00019811309,0.00012642295,0.00013787783],"domain_scores_gemma":[0.99973404,0.000051839288,0.000039212933,0.00012636084,0.000007960201,0.00004055687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000050608618,0.000072043396,0.00015148731,0.000025237561,0.000049547307,0.000018335846,0.00008272994,0.000007856772,0.000013824132],"category_scores_gemma":[0.00034424907,0.000057854508,0.0000733238,0.0003371845,0.000012653759,0.00016414723,0.00001536806,0.00011927711,0.000067541405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010835342,0.0004535364,0.00044480868,0.000229277,6.027584e-7,0.000027819937,0.00003984106,0.00038480098,0.44785815,0.161976,0.0007834025,0.38779092],"study_design_scores_gemma":[0.0007605247,0.0004868628,0.19812892,0.002635159,0.000054369983,0.000039119775,0.0000032569012,0.6371552,0.0072599435,0.13510084,0.017438674,0.00093716267],"about_ca_topic_score_codex":0.000004108919,"about_ca_topic_score_gemma":0.0000027873837,"teacher_disagreement_score":0.63677037,"about_ca_system_score_codex":0.000016651147,"about_ca_system_score_gemma":0.0000035673138,"threshold_uncertainty_score":0.23592384},"labels":[],"label_agreement":null},{"id":"W1979018752","doi":"10.3389/fncom.2012.00007","title":"Cellular and Circuit Mechanisms Maintain Low Spike Co-Variability and Enhance Population Coding in Somatosensory Cortex","year":2012,"lang":"en","type":"article","venue":"Frontiers in Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Benter Foundation; National Science Foundation","keywords":"Somatosensory system; Neuroscience; Coding (social sciences); Spike (software development); Population; Psychology; Computer science; Medicine; Mathematics; Statistics","score_opus":0.01717830172789925,"score_gpt":0.24854666665904634,"score_spread":0.2313683649311471,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979018752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7890192,0.000014100552,0.20948769,0.00011831377,0.0010061079,0.000258509,0.000015055179,0.000028077417,0.000052920175],"genre_scores_gemma":[0.9963071,0.00001984293,0.0028471244,0.00074428035,0.000027259217,0.000011109713,0.0000067929373,0.000011851214,0.000024683144],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99796385,0.00032225373,0.000319602,0.00062735064,0.0003763351,0.00039061467],"domain_scores_gemma":[0.99926007,0.00035337044,0.00012250851,0.00012400438,0.000017140033,0.00012289715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008185383,0.00016172206,0.00019263243,0.00023988324,0.00022532317,0.00008793052,0.00013946228,0.000061356855,0.000003368272],"category_scores_gemma":[0.00064725475,0.0001743312,0.00002173966,0.00046971662,0.0002339927,0.0006319057,0.00007441155,0.00024335414,0.0000016090465],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004386926,0.00022186132,0.33320618,0.000077013814,6.5163175e-7,0.00003344063,0.00022504486,0.009776775,0.57362884,0.079273686,0.000034989767,0.0034776449],"study_design_scores_gemma":[0.0002752317,0.000041899206,0.5214472,0.000025247433,0.0000018975611,0.000036104822,0.00003843416,0.41180092,0.005704186,0.060412474,0.00001669603,0.00019968567],"about_ca_topic_score_codex":0.0000123645395,"about_ca_topic_score_gemma":0.0000020645211,"teacher_disagreement_score":0.5679247,"about_ca_system_score_codex":0.000098064505,"about_ca_system_score_gemma":0.000025653273,"threshold_uncertainty_score":0.71090204},"labels":[],"label_agreement":null},{"id":"W1979075342","doi":"10.3109/00206090009073068","title":"Tonotopic Mapping in Auditory Cortex of the Adult Chinchilla with Amikacin-Induced cochlear Lesions: Mapeo tonotópico de la corteza auditiva de la chinchilla adulta con lesiones cocleares inducidas con amikacina","year":2000,"lang":"en","type":"article","venue":"International Journal of Audiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Tonotopy; Auditory cortex; Chinchilla; Neuroscience; Sensory system; Cortex (anatomy); Neuroplasticity; Biology; Anatomy; Human echolocation; Somatosensory system; Inferior colliculus; Nucleus","score_opus":0.009682820392675805,"score_gpt":0.2638327930830908,"score_spread":0.254149972690415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979075342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949051,0.000033303466,0.00011091252,0.0016291384,0.00087820773,0.00018502484,0.00002350612,0.0000178904,0.0022169256],"genre_scores_gemma":[0.9973129,0.00054198736,0.00016973856,0.0013549494,0.00040281133,0.000006345883,0.0000032782361,0.000024581297,0.0001834011],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99714535,0.0010987656,0.00069458265,0.00030998728,0.00045846778,0.0002928319],"domain_scores_gemma":[0.99734503,0.0013636451,0.0007536682,0.00020588389,0.0002388919,0.00009287288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005846657,0.00022737747,0.00040173216,0.0002855562,0.00013460536,0.00005629269,0.0007096368,0.0002243333,0.0001534479],"category_scores_gemma":[0.0011089408,0.0001589719,0.0001540963,0.00022436066,0.0004945937,0.00018657892,0.00010017503,0.0008294812,0.0000071326417],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000906001,0.00031678824,0.11166382,0.00002307871,0.00010327364,0.00043662102,0.0009584145,0.0024729024,0.850108,0.0041036904,0.0003678842,0.028539516],"study_design_scores_gemma":[0.002179071,0.00046114877,0.9633027,0.00046231633,0.000020863745,0.0029195403,0.0002228561,0.001337686,0.025172206,0.0023756146,0.0013398867,0.00020616045],"about_ca_topic_score_codex":0.00014108849,"about_ca_topic_score_gemma":0.000056900135,"teacher_disagreement_score":0.85163885,"about_ca_system_score_codex":0.0002337022,"about_ca_system_score_gemma":0.0003213095,"threshold_uncertainty_score":0.6482686},"labels":[],"label_agreement":null},{"id":"W1979201586","doi":"10.1177/1754073911410748","title":"Three Time Scales of Neural Self-Organization Underlying Basic and Nonbasic Emotions","year":2011,"lang":"en","type":"article","venue":"Emotion Review","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"","keywords":"Psychology; Situational ethics; Cognitive psychology; Perspective (graphical); Scale (ratio); Cognitive science; Developmental psychology; Social psychology; Computer science; Artificial intelligence","score_opus":0.06636832751537385,"score_gpt":0.26146154559575757,"score_spread":0.1950932180803837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979201586","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894718,0.002853255,0.0035374456,0.0011867092,0.00037607062,0.000804482,0.000012555585,0.0002293554,0.0015283173],"genre_scores_gemma":[0.9894001,0.009161073,0.00039517626,0.0008897395,0.000025345422,0.0000044502253,0.000010126572,0.00002071167,0.00009330281],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991087,0.00009243629,0.00027717385,0.00025737006,0.0001434993,0.00012083839],"domain_scores_gemma":[0.99946725,0.000054602442,0.00016944807,0.00018659547,0.00007073628,0.000051371684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016545359,0.00011070598,0.00019514115,0.0000653249,0.0001273725,0.000015968973,0.000087686756,0.000035320987,0.00031029517],"category_scores_gemma":[0.00023647655,0.00009594866,0.000050191433,0.0005035226,0.000053782296,0.00022459721,0.00004441096,0.00007907016,0.00009019892],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002648209,0.001299935,0.025239026,0.012716307,0.00006025527,0.00002994545,0.001200593,0.000032343676,0.56616294,0.05151955,0.0043319236,0.3373807],"study_design_scores_gemma":[0.0010892043,0.00075770856,0.93722546,0.0048475494,0.0003423577,0.00047162562,0.00004189047,0.023120534,0.018893167,0.010238106,0.0019091413,0.0010632328],"about_ca_topic_score_codex":0.000007599447,"about_ca_topic_score_gemma":0.0000045129327,"teacher_disagreement_score":0.9119865,"about_ca_system_score_codex":0.000016321337,"about_ca_system_score_gemma":0.000011409315,"threshold_uncertainty_score":0.39126727},"labels":[],"label_agreement":null},{"id":"W1979241385","doi":"10.1016/s0001-6918(01)00037-3","title":"The effects of aging on visual memory: evidence for functional reorganization of cortical networks","year":2001,"lang":"en","type":"article","venue":"Acta Psychologica","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":53,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Neuroscience; Stimulus (psychology); Psychology; Backward masking; Neuroplasticity; Cognitive psychology; Visual masking; Human brain; Visual perception; Perception","score_opus":0.06076278419655548,"score_gpt":0.33639329102557736,"score_spread":0.2756305068290219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979241385","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885142,0.00004077299,0.008109418,0.001346215,0.001242058,0.00036892455,0.0000010579163,0.00003245022,0.0003449435],"genre_scores_gemma":[0.9984113,0.00029055343,0.000022168115,0.0008667972,0.00011580718,0.00001749142,0.0000018471432,0.000008934828,0.00026512137],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990695,0.00012442563,0.00019934797,0.00025921632,0.00018444675,0.00016306817],"domain_scores_gemma":[0.99567074,0.0039046605,0.00015662448,0.00017827845,0.00006033939,0.000029377734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024042185,0.00008381838,0.00010617088,0.000030787756,0.00019302941,0.00001746395,0.00015075487,0.00005851984,0.000014698078],"category_scores_gemma":[0.0031453841,0.000052948835,0.000054924436,0.0002936827,0.000121248224,0.000077188764,0.000026639209,0.00011981898,0.000002246169],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00074226956,0.00021135507,0.0026608615,0.000025005545,0.000007034697,0.0000037184652,0.00002033411,0.00033407976,0.97863436,0.0035706633,0.0033465372,0.010443805],"study_design_scores_gemma":[0.0025505212,0.00901716,0.61995727,0.00043201784,0.00009305408,0.00008644757,0.000053277872,0.055781707,0.30355263,0.004050174,0.003911659,0.0005141166],"about_ca_topic_score_codex":0.0000010091119,"about_ca_topic_score_gemma":6.9349915e-7,"teacher_disagreement_score":0.67508173,"about_ca_system_score_codex":0.000013400422,"about_ca_system_score_gemma":0.000007761448,"threshold_uncertainty_score":0.37655458},"labels":[],"label_agreement":null},{"id":"W1979315229","doi":"10.1615/critrevbiomedeng.2013006841","title":"Complexity in Neurobiology: Perspectives from the study of noise in human motor systems","year":2012,"lang":"en","type":"article","venue":"Critical Reviews in Biomedical Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Noise (video); Intermittency; Cognitive science; Systems neuroscience; Computer science; Reductionism; Motor control; Neuroscience; Complex system; Psychology; Artificial intelligence; Physics","score_opus":0.09380676174788531,"score_gpt":0.34126632461575546,"score_spread":0.24745956286787013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979315229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964431,0.0019119325,0.00016897186,0.00026116258,0.00056307425,0.0005963097,0.000011181331,0.000015826821,0.00002845077],"genre_scores_gemma":[0.999498,0.00018506896,0.00003655563,0.0000805274,0.0001162368,0.000070308175,0.0000018085968,0.000009308047,0.0000021863025],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99831814,0.00037643925,0.0005526032,0.00026537088,0.00016649373,0.0003209552],"domain_scores_gemma":[0.99847054,0.0011846279,0.00003556333,0.0002095494,0.000009179069,0.000090529655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007653828,0.00012832924,0.00039097818,0.00012107982,0.000025145533,0.0000126117275,0.00024433256,0.00006409696,0.00001865919],"category_scores_gemma":[0.0051885215,0.00008640153,0.000041998504,0.0004849104,0.0002160501,0.00009044679,0.000099309225,0.00041497045,0.0000048935794],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039449194,0.004244852,0.02817009,0.000515724,0.0000050210656,0.000057269834,0.0034001423,0.00019388969,0.90282464,0.058233473,0.00005869503,0.0022567268],"study_design_scores_gemma":[0.0031490813,0.0012664609,0.86384135,0.002873797,0.00003957989,0.00002811792,0.0032408787,0.11463114,0.000950824,0.00091215124,0.008116833,0.0009497736],"about_ca_topic_score_codex":0.00020546926,"about_ca_topic_score_gemma":0.000023874303,"teacher_disagreement_score":0.9018738,"about_ca_system_score_codex":0.00006802003,"about_ca_system_score_gemma":0.000005526252,"threshold_uncertainty_score":0.621152},"labels":[],"label_agreement":null},{"id":"W1979414042","doi":"10.1016/j.jneumeth.2014.06.022","title":"An electrocorticographic electrode array for simultaneous recording from medial, lateral, and intrasulcal surface of the cortex in macaque monkeys","year":2014,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institutes of Health; Ministry of Education, Culture, Sports, Science and Technology; National Institute of Mental Health; Institut national de la recherche scientifique","keywords":"Macaque; Electrocorticography; Neuroscience; Electrode array; Cortex (anatomy); Visual cortex; Temporal lobe; Superior temporal sulcus; Electroencephalography; Biology; Electrode; Physics; Functional magnetic resonance imaging; Epilepsy","score_opus":0.02616176977920796,"score_gpt":0.33317415692947927,"score_spread":0.3070123871502713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979414042","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9080828,0.000011502243,0.090055816,0.00058300275,0.0010374456,0.00020473672,0.000005046931,0.000008736738,0.000010934935],"genre_scores_gemma":[0.9816207,0.00014470256,0.017298527,0.0008054035,0.00010075697,0.0000021917704,1.6754646e-7,0.000016870981,0.000010672434],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9972276,0.001058902,0.00061131065,0.00039532498,0.00035460747,0.00035226022],"domain_scores_gemma":[0.99628055,0.0026506216,0.0006166882,0.00023260544,0.00009075354,0.0001288007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010503213,0.00016239248,0.00035559016,0.00016656943,0.00015886997,0.000092938295,0.0005540205,0.00007023585,0.0000020373361],"category_scores_gemma":[0.005481463,0.00010957086,0.00011367266,0.0007544145,0.00026563666,0.00036354864,0.000036412606,0.000450122,6.596192e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012485098,0.00006117443,0.0022112788,0.000006758988,9.3293363e-7,0.000004944736,0.00006361828,0.0013463531,0.98764324,0.00013145119,0.0000036088343,0.008401798],"study_design_scores_gemma":[0.00041974365,0.0012003242,0.009768844,0.00002773602,0.00001826044,0.000116073315,0.000008476554,0.16438891,0.81595236,0.007723132,0.00025223277,0.00012389146],"about_ca_topic_score_codex":0.000027789973,"about_ca_topic_score_gemma":0.000022406182,"teacher_disagreement_score":0.17169085,"about_ca_system_score_codex":0.000027712269,"about_ca_system_score_gemma":0.00006666352,"threshold_uncertainty_score":0.6562219},"labels":[],"label_agreement":null},{"id":"W1979620791","doi":"10.1167/1.3.398","title":"Complex motion integration in the cat's LP-pulvinar","year":2010,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Percept; Stimulus (psychology); Neuroscience; Motion perception; Physics; Communication; Artificial intelligence; Optics; Computer science; Psychology; Perception; Cognitive psychology","score_opus":0.036317965952886076,"score_gpt":0.3090548044053839,"score_spread":0.27273683845249785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979620791","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99419224,0.00000202532,0.0009574151,0.003080167,0.0010686844,0.000070488,6.8617817e-7,0.0000043816153,0.0006239323],"genre_scores_gemma":[0.9989368,0.00001746904,0.00022569846,0.00062392553,0.00015872408,5.0562227e-7,9.2778487e-7,0.000004255458,0.000031725034],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999193,0.000117793585,0.0002436298,0.000082777406,0.00028218434,0.000080584825],"domain_scores_gemma":[0.9994687,0.00014659455,0.00020366504,0.0001026833,0.000053479165,0.000024914327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055153103,0.00005625479,0.000077563425,0.00011637499,0.00007736762,0.00007467971,0.00018811722,0.0000391572,0.00003223151],"category_scores_gemma":[0.00041703795,0.00003144375,0.000054187425,0.00019145905,0.000030436056,0.00032833262,0.000015237291,0.00032726425,0.000010123555],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028514263,0.00007805775,0.0001387517,0.0000015284368,2.287214e-7,0.000014273808,0.00013073279,0.00003523295,0.96477115,0.0012871274,0.0009051941,0.03260922],"study_design_scores_gemma":[0.0013083208,0.0016811596,0.8363659,0.00010924114,0.000016383345,0.0012844007,0.000386662,0.088224314,0.04448997,0.017611152,0.008309402,0.00021309684],"about_ca_topic_score_codex":0.000006868198,"about_ca_topic_score_gemma":0.0000395257,"teacher_disagreement_score":0.9202812,"about_ca_system_score_codex":0.00002059989,"about_ca_system_score_gemma":0.000011327871,"threshold_uncertainty_score":0.14218186},"labels":[],"label_agreement":null},{"id":"W1979684874","doi":"10.1152/jn.00858.2013","title":"Neocortical inhibitory activities and long-range afferents contribute to the synchronous onset of silent states of the neocortical slow oscillation","year":2014,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Institut Universitaire en Santé Mentale de Québec","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; National Institutes of Health; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Inhibitory postsynaptic potential; Neocortex; Excitatory postsynaptic potential; Neuroscience; Postsynaptic potential; State dependent; Psychology; Biology","score_opus":0.012631632886064734,"score_gpt":0.2375765502810464,"score_spread":0.22494491739498168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979684874","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970531,0.000007117115,0.00041009672,0.0015228267,0.0007972553,0.00017565256,0.000020019026,0.0000038387207,0.000010113272],"genre_scores_gemma":[0.9989892,0.0000561944,0.000009188557,0.0007647668,0.0001486423,0.0000017781123,4.4267088e-7,0.000009001448,0.000020763653],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985041,0.0005050516,0.00040567998,0.00015489443,0.00025741252,0.00017283429],"domain_scores_gemma":[0.9982549,0.0010342078,0.00037521427,0.00018224487,0.000085367064,0.00006805352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010220754,0.00011010469,0.00029103906,0.00006369664,0.00009629152,0.00001501705,0.00020301987,0.000046724734,0.0000068837444],"category_scores_gemma":[0.0008352277,0.00005837156,0.0001043428,0.00012772936,0.0003044919,0.00008060139,0.0001252644,0.00025440173,0.0000014015494],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046954147,0.00010772541,0.0034083775,0.000024996301,0.0000100931275,0.00000884612,0.00010093527,0.0025987655,0.99057895,0.00033598347,0.00010908413,0.0022466974],"study_design_scores_gemma":[0.0006761927,0.0029592556,0.9370783,0.0000602717,0.00005448732,0.00020647557,0.000023467905,0.012108172,0.045215186,0.0011980752,0.00031148255,0.00010862512],"about_ca_topic_score_codex":0.000007450222,"about_ca_topic_score_gemma":0.0000058406235,"teacher_disagreement_score":0.94536376,"about_ca_system_score_codex":0.000018238401,"about_ca_system_score_gemma":0.000033237262,"threshold_uncertainty_score":0.23803231},"labels":[],"label_agreement":null},{"id":"W1979763496","doi":"10.1038/jcbfm.2012.135","title":"Stroke Induces Long-Lasting Deficits in the Temporal Fidelity of Sensory Processing in the Somatosensory Cortex","year":2012,"lang":"en","type":"article","venue":"Journal of Cerebral Blood Flow & Metabolism","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Victoria","funders":"Canadian Institutes of Health Research","keywords":"Somatosensory system; Neuroscience; Sensory system; Sensory processing; Stroke (engine); Psychology; Somatosensory evoked potential; Medicine; Physical medicine and rehabilitation","score_opus":0.03744796135066311,"score_gpt":0.2698093833824163,"score_spread":0.23236142203175317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979763496","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99725044,0.001095198,0.000049004622,0.0004750223,0.0006361197,0.00020980697,0.000013129434,0.000007687957,0.0002635992],"genre_scores_gemma":[0.9982794,0.000049939426,0.00033714023,0.0007529876,0.0005362288,0.0000031598108,7.769189e-7,0.000016540102,0.000023808803],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9966423,0.0008789831,0.0009806252,0.00019147787,0.00085920986,0.0004473927],"domain_scores_gemma":[0.9982463,0.00046754547,0.0008877619,0.00021602832,0.00011078666,0.00007158554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002298066,0.00021285444,0.00044484404,0.0002607979,0.00014138747,0.00010252862,0.00054312375,0.0000991474,0.000010110405],"category_scores_gemma":[0.0008780477,0.000117909956,0.00018150262,0.00057895,0.00012090245,0.00089283875,0.000053752636,0.0009015641,0.000002218563],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019876982,0.0013956813,0.10116837,0.00012999111,0.00002291959,0.0001556484,0.006588382,0.0006768486,0.870204,0.0010789892,0.00005772785,0.01832271],"study_design_scores_gemma":[0.002283581,0.00018335074,0.92472863,0.00020164966,0.00020356334,0.0017139559,0.0024978956,0.0036678365,0.06315049,0.0007877524,0.00025081643,0.0003304793],"about_ca_topic_score_codex":0.000031193,"about_ca_topic_score_gemma":0.00003534445,"teacher_disagreement_score":0.82356024,"about_ca_system_score_codex":0.000015500147,"about_ca_system_score_gemma":0.000094079034,"threshold_uncertainty_score":0.48082283},"labels":[],"label_agreement":null},{"id":"W1980145910","doi":"10.3389/fnsyn.2010.00016","title":"GABAergic synaptic transmission regulates calcium influx during spike-timing dependent plasticity","year":2010,"lang":"en","type":"article","venue":"Frontiers in Synaptic Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Neuroscience; Synaptic plasticity; Neurotransmission; GABAergic; Spike-timing-dependent plasticity; Synaptic scaling; Spike (software development); Metaplasticity; Plasticity; Synaptic augmentation; Neuroplasticity; Biology; Psychology; Computer science; Inhibitory postsynaptic potential; Excitatory postsynaptic potential; Physics; Receptor","score_opus":0.020319290673331422,"score_gpt":0.24471578091135865,"score_spread":0.2243964902380272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980145910","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9775128,0.000019034895,0.015708733,0.0003154945,0.0054862346,0.00044102088,0.000009291001,0.00019529404,0.00031209027],"genre_scores_gemma":[0.9973707,0.000037491947,0.0015287206,0.00045168694,0.00008586267,0.000031716427,8.9258697e-7,0.000043625092,0.00044926174],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99612206,0.00015875927,0.00058105035,0.0013747182,0.0007798977,0.0009834889],"domain_scores_gemma":[0.99873525,0.00022631262,0.00020045743,0.00047482792,0.000037514368,0.0003256395],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00035019955,0.0003964221,0.00039100088,0.00047476252,0.00057450135,0.00021160375,0.00091763056,0.0001879332,0.000039791732],"category_scores_gemma":[0.0013002097,0.00036533186,0.00011877321,0.0010290736,0.0006549428,0.00072179857,0.00021678582,0.0010036095,0.000020247002],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080861406,0.00010705287,0.0037619746,0.000041318497,0.0000017447443,0.000239512,0.00009554241,0.0028216853,0.99100274,0.00029977114,0.00004369527,0.0015041156],"study_design_scores_gemma":[0.0009928368,0.00023171738,0.036520798,0.000093133414,0.00002559207,0.00047286125,0.000056907636,0.3193595,0.6397772,0.0013331409,0.0004209569,0.00071534683],"about_ca_topic_score_codex":0.000024546589,"about_ca_topic_score_gemma":0.000012813895,"teacher_disagreement_score":0.35122553,"about_ca_system_score_codex":0.000110357316,"about_ca_system_score_gemma":0.000089215864,"threshold_uncertainty_score":0.99987984},"labels":[],"label_agreement":null},{"id":"W1980287297","doi":"10.1088/1741-2560/8/4/046024","title":"Common time–frequency analysis of local field potential and pyramidal cell activity in seizure-like events of the rat hippocampus","year":2011,"lang":"en","type":"article","venue":"Journal of Neural Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Western Hospital; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Local field potential; Hippocampal formation; Hippocampus; Coherence (philosophical gambling strategy); Neuroscience; Extracellular; Epilepsy; Wavelet; Electroencephalography; Nuclear magnetic resonance; Frequency band; Pyramidal cell; Physics; Biology; Computer science; Artificial intelligence; Telecommunications","score_opus":0.010922888096211338,"score_gpt":0.2034734056707881,"score_spread":0.19255051757457675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980287297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998392,0.00002240073,0.0010048506,0.00006175776,0.00043310993,0.00005314876,0.000003155687,0.000005337074,0.000024257246],"genre_scores_gemma":[0.9998589,0.000015373833,0.000044594777,0.00004153149,0.000016744605,3.569682e-7,1.14969694e-7,0.000008649099,0.000013705842],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99916667,0.000059966194,0.00032607614,0.00010348109,0.00021801259,0.00012582015],"domain_scores_gemma":[0.99941415,0.00011224308,0.0002814018,0.00011719618,0.000030044786,0.000044945624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013769523,0.00009820623,0.00027691212,0.00022704681,0.000021532605,0.000006194684,0.00018039238,0.000052374395,0.0000083187715],"category_scores_gemma":[0.0000555851,0.000070028575,0.0001660369,0.00046314875,0.00003426325,0.0001836424,0.000057189158,0.00029311242,1.7295802e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007794409,0.000071052425,0.0036484767,0.000027376771,0.000022528107,0.000030116127,0.00006606024,0.040379293,0.9539166,0.00001357816,0.0000036463812,0.0017433063],"study_design_scores_gemma":[0.0004401563,0.00036081366,0.114924565,0.00004241748,0.00016959514,0.00007990588,0.000013642961,0.43492073,0.44882047,0.00011720824,0.0000024777626,0.00010801581],"about_ca_topic_score_codex":0.000045574972,"about_ca_topic_score_gemma":0.000009571161,"teacher_disagreement_score":0.50509614,"about_ca_system_score_codex":0.000022450662,"about_ca_system_score_gemma":0.000012807401,"threshold_uncertainty_score":0.28556824},"labels":[],"label_agreement":null},{"id":"W1980583274","doi":"10.1109/ijcnn.2013.6706813","title":"Biologically plausible feature selection through relative correlation","year":2013,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Feature selection; Correlation; Generalization; Artificial intelligence; Computer science; Linear regression; Pattern recognition (psychology); Regression; Noise (video); Feature (linguistics); Outcome (game theory); Least-squares function approximation; Machine learning; Mathematics; Statistics","score_opus":0.02874084832724841,"score_gpt":0.24864576559348725,"score_spread":0.21990491726623884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980583274","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8169549,0.0000075736507,0.057208765,0.0062096575,0.0007945268,0.0007400588,0.000004452856,0.00047383396,0.117606215],"genre_scores_gemma":[0.9723127,0.000014689829,0.0022667474,0.0024837428,0.00006885271,0.000025797743,0.000006849497,0.000008462274,0.022812173],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919593,0.000074789285,0.00011070502,0.00031641868,0.00012867109,0.00017347113],"domain_scores_gemma":[0.99960047,0.00017431079,0.0000701279,0.00006924478,0.000052239157,0.000033605687],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000045422425,0.000104526276,0.00008297552,0.000033765707,0.00019621899,0.00006722469,0.00007244613,0.00012614613,0.001077498],"category_scores_gemma":[0.00024158334,0.0000712138,0.000041717147,0.00034843522,0.000042527274,0.00073681114,0.000029415038,0.00022064615,0.0007981245],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025337178,0.00005316356,0.004420016,0.0000031708767,0.000003373641,0.0000010528457,0.0000579087,0.00058916316,0.8215462,0.15608536,0.01520326,0.0020120235],"study_design_scores_gemma":[0.0011959415,0.0013722548,0.15198246,0.000032453605,0.000027245915,0.00014439189,0.00010647863,0.41942796,0.18690507,0.19889696,0.03901202,0.000896779],"about_ca_topic_score_codex":0.000078332414,"about_ca_topic_score_gemma":0.000014194554,"teacher_disagreement_score":0.6346411,"about_ca_system_score_codex":0.00004008876,"about_ca_system_score_gemma":0.000011292858,"threshold_uncertainty_score":0.99997985},"labels":[],"label_agreement":null},{"id":"W1980690441","doi":"10.3389/fnbeh.2013.00040","title":"Shared Neural Substrates of Emotionally Enhanced Perceptual and Mnemonic Vividness","year":2013,"lang":"en","type":"article","venue":"Frontiers in Behavioral Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Mnemonic; Psychology; Perception; Cognitive psychology; Communication; Neuroscience","score_opus":0.03295334326395924,"score_gpt":0.26522378212368514,"score_spread":0.2322704388597259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980690441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970218,0.000015835896,0.0005648164,0.00027632786,0.0015436983,0.00040339818,0.000043815755,0.00004734104,0.00008294606],"genre_scores_gemma":[0.99866897,0.00003279943,0.00050910003,0.00043117054,0.00001742925,0.00003506385,0.000003920101,0.000016719028,0.0002848273],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9979977,0.000106119005,0.00035586834,0.00071951444,0.00041478864,0.00040598048],"domain_scores_gemma":[0.999389,0.00004616056,0.00013783672,0.0002369691,0.000053898,0.00013611786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000101078986,0.00020694669,0.00025052822,0.00022421317,0.00014725917,0.00013823343,0.00042990825,0.000071010836,0.000046731093],"category_scores_gemma":[0.0001533523,0.00019158522,0.000057344092,0.0006696849,0.0006736297,0.0010042983,0.00012880367,0.00023524882,0.0000042704137],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015518164,0.00013769521,0.03273073,0.000009653408,1.456993e-7,0.000008750186,0.0001326337,0.00012427058,0.9621354,0.00008846019,0.00021463777,0.0044021546],"study_design_scores_gemma":[0.00056375255,0.000473195,0.82918996,0.000029877192,0.000008506442,0.00003751777,0.00024988147,0.03943021,0.12877361,0.0008479565,0.00002954149,0.00036598725],"about_ca_topic_score_codex":0.000057352405,"about_ca_topic_score_gemma":0.0000094346115,"teacher_disagreement_score":0.83336174,"about_ca_system_score_codex":0.00003640383,"about_ca_system_score_gemma":0.000038710394,"threshold_uncertainty_score":0.78126186},"labels":[],"label_agreement":null},{"id":"W1981591148","doi":"10.1002/1097-0193(200102)12:2<79::aid-hbm1005>3.0.co;2-i","title":"Detection of fMRI activation using Cortical Surface Mapping","year":2001,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":150,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Montreal Neurological Institute and Hospital","funders":"","keywords":"Flattening; Sensitivity (control systems); Computer science; Flexibility (engineering); Artificial intelligence; Neuroscience; Pattern recognition (psychology); Psychology; Mathematics; Physics; Statistics","score_opus":0.08595084323065372,"score_gpt":0.2885817004591633,"score_spread":0.2026308572285096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981591148","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91863114,0.0000034228917,0.07961049,0.0002744778,0.00020732477,0.00019584621,0.000001137404,0.00009609492,0.0009800813],"genre_scores_gemma":[0.9987841,0.0000031174689,0.00027098064,0.00045782363,0.00011538877,0.0000024255544,0.000002718207,0.000021341388,0.00034208572],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985586,0.00017350551,0.00034833283,0.00037124747,0.00026851404,0.00027981098],"domain_scores_gemma":[0.99917156,0.0003085253,0.00020958621,0.00020587484,0.00004905321,0.00005538646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032602207,0.00014120898,0.00017193238,0.00016735271,0.0005030697,0.000054923497,0.00012608073,0.00007934907,0.00005380063],"category_scores_gemma":[0.00048627562,0.00015022958,0.000075264215,0.00056391244,0.000089000765,0.000307275,0.00006049655,0.0002288703,0.000009940531],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013686441,0.000031929558,0.000680858,0.000025408648,0.0000032373418,0.0000054067364,0.00017391509,0.0012430733,0.9953711,0.0013682994,0.000017527913,0.0010655712],"study_design_scores_gemma":[0.0009376971,0.00017210953,0.09818256,0.00026739147,0.000013680032,0.00011902183,0.0005468449,0.25443736,0.6368542,0.004375406,0.0035149714,0.00057880743],"about_ca_topic_score_codex":0.000047032787,"about_ca_topic_score_gemma":0.000007191242,"teacher_disagreement_score":0.35851693,"about_ca_system_score_codex":0.000090785754,"about_ca_system_score_gemma":0.000015450685,"threshold_uncertainty_score":0.61261845},"labels":[],"label_agreement":null},{"id":"W1981713604","doi":"10.1016/j.jneumeth.2010.03.013","title":"Evaluation of receptive field size from higher harmonics in visuotopic mapping using continuous stimulation optical imaging","year":2010,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Polytechnique Montréal; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Foreign Affairs and International Trade Canada; Canadian Institutes of Health Research","keywords":"Receptive field; Visual cortex; Harmonics; Fourier transform; Spatial frequency; Artificial intelligence; Computer science; Stimulus (psychology); Optics; Physics; Pattern recognition (psychology); Neuroscience; Psychology","score_opus":0.14655710846659656,"score_gpt":0.4315682062892394,"score_spread":0.2850110978226429,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981713604","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.942479,0.000014091439,0.053202573,0.0004543929,0.0035395753,0.00015972296,0.0000015664594,0.0000066288726,0.0001424384],"genre_scores_gemma":[0.9348509,0.000008490117,0.064520985,0.0004733705,0.00012134845,0.0000012196036,9.403634e-8,0.000008945482,0.0000146914035],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971122,0.0009138321,0.0006136372,0.00028870185,0.00087039405,0.00020122333],"domain_scores_gemma":[0.9967698,0.0020369606,0.00061825453,0.0001663539,0.00033519266,0.000073450654],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004165631,0.000116255025,0.0002594446,0.00021778731,0.00008284035,0.00007731759,0.0002817249,0.00006264126,0.000042778734],"category_scores_gemma":[0.013847961,0.0001000309,0.000089451714,0.0005830128,0.00012898762,0.0005854074,0.00006811116,0.0005621351,4.5556266e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026778811,0.00005254292,0.0025279566,0.0000024357314,7.190263e-7,0.000010696323,0.00010227638,0.0022811918,0.94556576,0.00010126876,0.000002761557,0.049325608],"study_design_scores_gemma":[0.00053954305,0.000118282645,0.08064156,0.000040167484,0.00003227985,0.000045093857,0.000033766555,0.51800334,0.39624584,0.004102398,0.00010098936,0.00009672658],"about_ca_topic_score_codex":0.000018119523,"about_ca_topic_score_gemma":0.000001948955,"teacher_disagreement_score":0.5493199,"about_ca_system_score_codex":0.000074713644,"about_ca_system_score_gemma":0.0001488407,"threshold_uncertainty_score":0.9944588},"labels":[],"label_agreement":null},{"id":"W1981816492","doi":"10.1016/j.concog.2011.01.007","title":"The thalamic dynamic core theory of conscious experience","year":2011,"lang":"en","type":"review","venue":"Consciousness and Cognition","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":165,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Thalamus; Consciousness; Neuroscience; Psychology; Reticular activating system; Electromagnetic theories of consciousness; Arousal; Inhibitory postsynaptic potential; Thalamic reticular nucleus; Reticular formation; Locus coeruleus; Cognitive science; Cognitive psychology; Central nervous system","score_opus":0.07928869561352922,"score_gpt":0.3138051404560922,"score_spread":0.23451644484256298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981816492","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003033581,0.992976,0.00017094192,0.000010936517,0.0009327014,0.00088242046,0.00013692363,0.00006744349,0.001789039],"genre_scores_gemma":[0.08018113,0.9190632,0.0000037106497,0.000065902466,0.00002780783,0.00018174133,0.000026116122,0.000035301655,0.00041506084],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979106,0.00029673125,0.0007788555,0.0005479856,0.00018050961,0.00028527918],"domain_scores_gemma":[0.99697316,0.0013349889,0.0011773467,0.0003570931,0.00008907166,0.00006831608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038093643,0.00034657636,0.00078102475,0.00011267041,0.0004978905,0.00008158028,0.00033829024,0.00020220183,0.000036954007],"category_scores_gemma":[0.0006842981,0.00021510448,0.00023405983,0.0002739704,0.0011780933,0.00010377264,0.00013644072,0.00030680242,0.00002491107],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020165724,0.000028758519,0.0000015704347,0.0011687715,0.000013810125,0.000009695011,0.00014056549,2.261042e-8,0.00025700039,0.025311561,0.000012837706,0.9730352],"study_design_scores_gemma":[0.0012309025,0.00059290003,0.00008996829,0.015969912,0.0020942502,0.0017898045,0.001416126,0.00054313464,0.000604434,0.16828582,0.8051395,0.002243257],"about_ca_topic_score_codex":0.000004725141,"about_ca_topic_score_gemma":0.000012790954,"teacher_disagreement_score":0.970792,"about_ca_system_score_codex":0.00002378998,"about_ca_system_score_gemma":0.000111073445,"threshold_uncertainty_score":0.87717056},"labels":[],"label_agreement":null},{"id":"W1981824164","doi":"10.1016/j.neucom.2004.10.029","title":"Characterizing in vitro hippocampal ripples using time–frequency analysis","year":2005,"lang":"en","type":"article","venue":"Neurocomputing","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Hippocampal formation; In vitro; Computer science; Biological system; Neuroscience; Biology","score_opus":0.027656522300322218,"score_gpt":0.2610599685832868,"score_spread":0.23340344628296456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981824164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976819,0.00000769648,0.0010047768,0.000324666,0.00017345232,0.00014673364,0.000005641609,0.00018775392,0.00046737795],"genre_scores_gemma":[0.99599195,0.000003031248,0.002065906,0.0015877155,0.00027983735,0.0000023476707,0.0000050919894,0.000031631884,0.00003249498],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99819267,0.00016130997,0.0003848564,0.0005824206,0.0002394163,0.00043931475],"domain_scores_gemma":[0.9993052,0.00021873263,0.00017459603,0.00021036342,0.00001814381,0.00007297329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020083263,0.00018598422,0.0002687224,0.00043954517,0.0002070134,0.000118584154,0.00022073758,0.000053613603,0.00002668187],"category_scores_gemma":[0.0001500638,0.00019069562,0.00014247341,0.0013703073,0.000035315144,0.00029389345,0.00010731863,0.0002755577,0.00005971021],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001296944,0.000038956474,0.001327016,0.0000044993562,0.000005850375,0.000028470211,0.000080069716,0.008190149,0.9756862,0.000058595793,0.0000016825297,0.014565573],"study_design_scores_gemma":[0.0001950693,0.000017568183,0.0066239964,0.000011042693,0.000032979446,0.000031057993,0.000005780131,0.81676394,0.17588666,0.000058047142,0.00018153668,0.00019229778],"about_ca_topic_score_codex":0.00003086508,"about_ca_topic_score_gemma":0.000006159868,"teacher_disagreement_score":0.8085738,"about_ca_system_score_codex":0.00008395695,"about_ca_system_score_gemma":0.00002035481,"threshold_uncertainty_score":0.77763414},"labels":[],"label_agreement":null},{"id":"W1982047119","doi":"10.1385/ni:2:2:175","title":"Contexts and Catalysts: A Resolution of the Localization and Integration of Function in the Brain","year":2004,"lang":"en","type":"article","venue":"Neuroinformatics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":148,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"","keywords":"Context (archaeology); Set (abstract data type); Neuroimaging; Neuroscience; Functional neuroimaging; Psychology; Function (biology); Cognitive science; Cognitive psychology; Relevance (law); Brain mapping; Computer science; Biology; Political science; Evolutionary biology","score_opus":0.0168073684648526,"score_gpt":0.23114276701052464,"score_spread":0.21433539854567205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982047119","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99137443,0.0000118224,0.0068257544,0.0009989606,0.000110705696,0.00029586803,0.0000058206233,0.0000070656206,0.00036957936],"genre_scores_gemma":[0.998917,0.000028704213,0.000023130233,0.0010075523,0.0000059279946,0.0000029203832,0.0000027746983,0.0000029764208,0.000009056486],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993663,0.00006792931,0.00026262426,0.00006941537,0.00017051876,0.0000632159],"domain_scores_gemma":[0.99950904,0.00014632469,0.00017425203,0.00013485883,0.000025336958,0.0000101659225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019956786,0.000057801142,0.00007125295,0.0000580792,0.00007086023,0.000020783202,0.00007233921,0.000025139188,3.6064853e-7],"category_scores_gemma":[0.00053257146,0.000033468157,0.000015381573,0.00028884027,0.000118041906,0.00025612535,0.000030361998,0.00009193061,3.4025626e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035215492,0.00024727744,0.0024595717,0.00046046646,0.0000050600856,0.0000020012635,0.013391985,0.014045056,0.723966,0.21982716,0.00049578707,0.02474745],"study_design_scores_gemma":[0.004578833,0.0025037364,0.19920366,0.0004891529,0.00007199112,0.00028317032,0.0026352857,0.58251333,0.16847724,0.03770365,0.0011638405,0.00037614355],"about_ca_topic_score_codex":0.000041891948,"about_ca_topic_score_gemma":0.00012121752,"teacher_disagreement_score":0.5684683,"about_ca_system_score_codex":0.000012783596,"about_ca_system_score_gemma":0.00001551253,"threshold_uncertainty_score":0.13647918},"labels":[],"label_agreement":null},{"id":"W1982053028","doi":"10.1016/j.neuroimage.2004.03.018","title":"Orbitofrontal contribution to auditory encoding","year":2004,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"","keywords":"Orbitofrontal cortex; Encoding (memory); Neuroscience; Psychology; Frontal cortex; Auditory cortex; Temporal cortex; Cortex (anatomy); Prefrontal cortex; Cognition","score_opus":0.020823980672817644,"score_gpt":0.2552585112008797,"score_spread":0.23443453052806207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982053028","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9864801,0.0000030595677,0.004378776,0.0018316547,0.0026521736,0.00027479418,0.000020221656,0.00019996768,0.0041592503],"genre_scores_gemma":[0.99534374,0.0000049683317,0.000089037465,0.0038342513,0.00035477508,0.000011670665,0.0000029431287,0.000016704125,0.0003419337],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99892414,0.000044797183,0.00013994386,0.0004016358,0.00021391628,0.00027555006],"domain_scores_gemma":[0.9995559,0.00006626425,0.000043629094,0.00019127621,0.000026327378,0.0001166277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007306414,0.0001159974,0.000099996796,0.00007839985,0.00018922833,0.000073224146,0.00015339439,0.000035985133,0.000036723388],"category_scores_gemma":[0.0005861456,0.000111513866,0.000054401622,0.0002292241,0.000038069327,0.00022900627,0.000071360475,0.0001622732,0.0005539165],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024033885,0.000035647092,0.000040560033,0.0000023872071,4.0698265e-7,0.00009328242,0.000021501912,0.00036496195,0.9944202,0.0037985654,0.00061141734,0.0005870595],"study_design_scores_gemma":[0.0011922006,0.00051248615,0.01364388,0.00002576281,0.000009203495,0.00015815339,0.000010215452,0.0008926128,0.9488773,0.0028041794,0.031493604,0.00038042283],"about_ca_topic_score_codex":0.000011443607,"about_ca_topic_score_gemma":0.0000064591945,"teacher_disagreement_score":0.045542896,"about_ca_system_score_codex":0.00009828347,"about_ca_system_score_gemma":0.00002594963,"threshold_uncertainty_score":0.7119661},"labels":[],"label_agreement":null},{"id":"W1982177338","doi":"10.1016/j.neulet.2009.08.059","title":"Frontal brain oscillatory coupling among men who vary in salivary testosterone levels","year":2009,"lang":"en","type":"article","venue":"Neuroscience Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Testosterone (patch); Coupling (piping); Psychology; Neuroscience; Internal medicine; Developmental psychology; Endocrinology; Audiology; Biology; Medicine","score_opus":0.027848342411489924,"score_gpt":0.24843364401964044,"score_spread":0.2205853016081505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982177338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9840991,0.000006944821,0.00058207137,0.012478903,0.0007991526,0.00034561486,0.000011511292,0.00016312704,0.0015135583],"genre_scores_gemma":[0.9128095,0.0000052404066,0.00003905327,0.086651474,0.00011655469,0.000008408609,0.00000113853,0.00002289819,0.00034574326],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9970331,0.00009305609,0.0003838742,0.0010821626,0.0006678739,0.00073991535],"domain_scores_gemma":[0.9990332,0.00023701912,0.00015191284,0.00041883113,0.000012886828,0.00014615207],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00036376613,0.00029298803,0.0002642586,0.00033530022,0.0002989712,0.00021226624,0.0006469581,0.00008036426,0.000015965106],"category_scores_gemma":[0.0005438897,0.00028567293,0.0000802049,0.0008938443,0.0003900829,0.0011861536,0.000121882455,0.00047410929,0.000028202177],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001762704,0.00005401109,0.010563152,0.0000044851813,1.8617841e-7,0.00019324565,0.000072768475,0.002815079,0.9836716,0.00028132496,0.001715247,0.00061125704],"study_design_scores_gemma":[0.00074802927,0.00029165755,0.8191058,0.000062263396,0.0000043560103,0.00008593678,0.000020271398,0.11980278,0.05802859,0.00042429747,0.00084247394,0.00058351737],"about_ca_topic_score_codex":0.000039759707,"about_ca_topic_score_gemma":0.0000100991465,"teacher_disagreement_score":0.925643,"about_ca_system_score_codex":0.00012442157,"about_ca_system_score_gemma":0.000036512625,"threshold_uncertainty_score":0.9999595},"labels":[],"label_agreement":null},{"id":"W1982466328","doi":"10.1371/journal.pone.0051596","title":"Neural Activity in the Macaque Putamen Associated with Saccades and Behavioral Outcome","year":2012,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"Canadian Institutes of Health Research","keywords":"Putamen; Neuroscience; Saccade; Superior colliculus; Saccadic masking; Basal ganglia; Frontal eye fields; Supplementary eye field; Psychology; Eye movement; Macaque; Caudate nucleus; Stimulus (psychology); Biology; Central nervous system; Cognitive psychology","score_opus":0.14583852433757977,"score_gpt":0.29226183417260443,"score_spread":0.14642330983502466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982466328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99869215,0.0000046671066,0.0000020429736,0.000820304,0.000032203166,0.00022224363,0.0000107938295,0.000031910145,0.00018367327],"genre_scores_gemma":[0.9991945,0.0000039269557,0.000013513914,0.0005784297,0.000031151914,0.000020379124,0.0000016689185,0.000009671723,0.0001467415],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991408,0.00014218022,0.00008215638,0.00015209764,0.0002434251,0.00023931431],"domain_scores_gemma":[0.9996048,0.00018266524,0.000055395893,0.00010621671,0.000008603253,0.000042270534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014395617,0.00008844317,0.00011830648,0.000036994683,0.00008563658,0.000051955125,0.00009431728,0.00004044237,0.000008859514],"category_scores_gemma":[0.00013061248,0.000055410583,0.000014183635,0.00017280724,0.000058275746,0.0003034847,0.000034610734,0.00023872456,0.0000041187996],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034951037,0.0013076917,0.62558097,0.000007590588,0.000004164662,0.000008233255,0.0002435203,0.0000016256979,0.37206084,0.00012832422,0.0000046426203,0.0006174692],"study_design_scores_gemma":[0.0003776533,0.00021978817,0.9548675,0.00001824435,0.00004284254,0.000008139167,0.000034906156,0.002212719,0.04202066,0.000059226426,0.000004970454,0.00013337779],"about_ca_topic_score_codex":0.000042081207,"about_ca_topic_score_gemma":0.00005793777,"teacher_disagreement_score":0.33004016,"about_ca_system_score_codex":0.000029174988,"about_ca_system_score_gemma":0.000003986468,"threshold_uncertainty_score":0.2259578},"labels":[],"label_agreement":null},{"id":"W1982495991","doi":"10.1523/jneurosci.4102-11.2011","title":"Saccades during Object Viewing Modulate Oscillatory Phase in the Superior Temporal Sulcus","year":2011,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Fixation (population genetics); Saccadic masking; Macaque; Neuroscience; Eye movement; Visual processing; Psychology; Visual perception; Perception; Visual cortex; Communication; Computer vision; Saccadic suppression of image displacement; Artificial intelligence; Computer science; Chemistry","score_opus":0.08032228282524279,"score_gpt":0.29023250801030637,"score_spread":0.20991022518506358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982495991","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980339,0.000035823618,0.00007435861,0.0002414244,0.0011994705,0.00013457374,0.0000028271702,0.000014800176,0.00026286553],"genre_scores_gemma":[0.99852204,0.000086052576,0.000051201547,0.0011745419,0.00009330665,0.0000020186762,3.8237566e-8,0.000012322699,0.000058495334],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9979218,0.00026559943,0.0005203604,0.00031338757,0.00061991205,0.00035890494],"domain_scores_gemma":[0.999175,0.00011923876,0.00033235215,0.00023176489,0.00004246526,0.00009918633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079367607,0.000156194,0.00020935277,0.0002693315,0.00027857115,0.00012590579,0.0007925915,0.00003755301,0.000012803824],"category_scores_gemma":[0.0007388396,0.00009926618,0.00012663814,0.00079937757,0.00022456035,0.0009443031,0.000077411925,0.00046517732,0.0000036492372],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000782943,0.00014882674,0.0028334777,0.000008430909,3.5646596e-7,0.00057299447,0.0009133483,0.00009468144,0.9946143,0.00008523072,0.00001068551,0.0006393785],"study_design_scores_gemma":[0.0036649592,0.0025319816,0.5229248,0.00019050039,0.000030124267,0.007932768,0.00050889654,0.015239127,0.44231707,0.0013813984,0.0025909871,0.0006874443],"about_ca_topic_score_codex":0.000011935329,"about_ca_topic_score_gemma":0.0000032736882,"teacher_disagreement_score":0.55229723,"about_ca_system_score_codex":0.000043252672,"about_ca_system_score_gemma":0.00007102692,"threshold_uncertainty_score":0.40479574},"labels":[],"label_agreement":null},{"id":"W1982544002","doi":"10.1152/jn.00098.2011","title":"Pitfalls in the dipolar model for the neocortical EEG sources","year":2012,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":104,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital; Institute of Aging","funders":"","keywords":"Electroencephalography; Dipole; Mesoscopic physics; Local field potential; Neuroscience; Physics; Electrophysiology; Nuclear magnetic resonance; Psychology; Condensed matter physics","score_opus":0.049708513130655725,"score_gpt":0.28396011155613216,"score_spread":0.23425159842547644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982544002","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99377203,0.00004253017,0.002121422,0.0031863877,0.0006860503,0.0001496331,0.000002702702,0.000003864908,0.00003537803],"genre_scores_gemma":[0.99340993,0.0001050254,0.000045468492,0.0059926305,0.000378552,0.0000059944164,1.318737e-7,0.000009770313,0.0000524874],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99899036,0.00022212244,0.00027001597,0.00009873357,0.00015384615,0.00026490673],"domain_scores_gemma":[0.99810505,0.0015025878,0.00017202267,0.00014930808,0.00002935374,0.000041665724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017148154,0.00008580169,0.00014462542,0.0000493088,0.00012734621,0.0000249449,0.00040101408,0.000036944803,0.0000045076567],"category_scores_gemma":[0.0006203514,0.000038948754,0.00012728386,0.00012048079,0.000113542534,0.00015699788,0.0000423607,0.0003423364,0.0000055662454],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016259274,0.00012792926,0.000086779866,0.000004407592,0.000003257417,0.000008318276,0.00027736975,0.012211681,0.98026156,0.0053252485,0.00018287991,0.0013479827],"study_design_scores_gemma":[0.0011196348,0.0016588741,0.12052226,0.000014886472,0.00008149977,0.0007699401,0.00014338167,0.8439595,0.004691209,0.014774439,0.01202262,0.00024173303],"about_ca_topic_score_codex":0.0000015422063,"about_ca_topic_score_gemma":5.7338684e-7,"teacher_disagreement_score":0.9755703,"about_ca_system_score_codex":0.00000896961,"about_ca_system_score_gemma":0.0000184007,"threshold_uncertainty_score":0.15882841},"labels":[],"label_agreement":null},{"id":"W1983504548","doi":"10.3389/fnins.2013.00043","title":"Interstitial cells of Cajal, from structure to function","year":2013,"lang":"en","type":"article","venue":"Frontiers in Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Canadian Institutes of Health Research; National Natural Science Foundation of China","keywords":"Interstitial cell of Cajal; Neuroscience; Function (biology); Psychology; Medicine; Biology; Cell biology; Pathology","score_opus":0.01116587148004963,"score_gpt":0.2098066680881439,"score_spread":0.19864079660809428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983504548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9650171,0.000006446587,0.024369655,0.00029838443,0.009554343,0.0003590951,0.00005889888,0.00003525769,0.0003008554],"genre_scores_gemma":[0.9958847,0.000008925131,0.0010923368,0.0026828514,0.000060882572,0.000011742098,0.0000014227448,0.000012057989,0.00024503822],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99843305,0.000077569704,0.0002524676,0.00061435445,0.0003279257,0.00029463496],"domain_scores_gemma":[0.9994301,0.00005617807,0.000093769224,0.00027792618,0.000028810618,0.00011319872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005332505,0.00014131729,0.00017453836,0.00023383237,0.00007734492,0.000077268865,0.00044518162,0.000054624958,0.00007868829],"category_scores_gemma":[0.00028222622,0.000127733,0.000042049058,0.0007647239,0.00018239644,0.0004422743,0.00012029201,0.00018167097,0.000020092168],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033217293,0.000025741307,0.0018459798,0.000003881703,2.6200576e-7,0.000003969907,0.00006983919,0.000846025,0.9872819,0.00011766621,0.0061897323,0.0035817886],"study_design_scores_gemma":[0.0004581003,0.0005912026,0.05220333,0.000037661608,0.0000073063857,0.000005237566,0.00011550546,0.05352827,0.8804059,0.006770923,0.0055086296,0.00036792646],"about_ca_topic_score_codex":0.00020867227,"about_ca_topic_score_gemma":0.00001727646,"teacher_disagreement_score":0.10687599,"about_ca_system_score_codex":0.000044511857,"about_ca_system_score_gemma":0.00002538192,"threshold_uncertainty_score":0.52088004},"labels":[],"label_agreement":null},{"id":"W1983619074","doi":"10.1186/1471-2202-15-s1-p67","title":"The effect of trained parameters in Bayesian neural encoding models for the auditory system","year":2014,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Bayesian probability; Encoding (memory); Computer science; Neuroscience; Artificial intelligence; Artificial neural network; Machine learning; Psychology","score_opus":0.033251849044471725,"score_gpt":0.2533729560946707,"score_spread":0.22012110705019897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983619074","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8835542,0.0000122535785,0.109205276,0.0004962393,0.005116287,0.0012385804,0.000008194074,0.000076995595,0.00029197673],"genre_scores_gemma":[0.99935716,0.0000038668263,0.00004227222,0.00027591575,0.00007794244,0.00012422138,1.6931261e-7,0.000014883356,0.00010353839],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979785,0.00046634194,0.00030721092,0.0004903479,0.0003576902,0.00039992292],"domain_scores_gemma":[0.9937859,0.0055383663,0.00018175157,0.00042183092,0.000016660188,0.000055461278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012529042,0.00016155132,0.00018156797,0.00007014232,0.00055340177,0.000120122226,0.00078950357,0.000035046854,1.5728762e-7],"category_scores_gemma":[0.002284195,0.00008548247,0.0001255984,0.0004609991,0.00045895317,0.00028592462,0.00007697813,0.0001542364,7.6517796e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029345902,0.000020804428,0.0005041852,0.0001408038,7.370654e-7,0.0000030838837,0.00009661472,0.2266708,0.7469597,0.01717061,0.000104945255,0.0080342535],"study_design_scores_gemma":[0.00034784563,0.00042118056,0.00075687974,0.000016327504,0.000006460118,0.000014241211,0.000020627422,0.96170855,0.036189586,0.00028009142,0.0001468135,0.0000913837],"about_ca_topic_score_codex":0.000013763809,"about_ca_topic_score_gemma":0.000023821836,"teacher_disagreement_score":0.73503774,"about_ca_system_score_codex":0.000033005315,"about_ca_system_score_gemma":0.000027242837,"threshold_uncertainty_score":0.42563748},"labels":[],"label_agreement":null},{"id":"W1983669930","doi":"10.1152/jn.00256.2010","title":"Neural Heterogeneity and Efficient Population Codes for Communication Signals","year":2010,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":137,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Neural coding; Sensory system; Population; Neuroscience; ENCODE; Coding (social sciences); Encoding (memory); Courtship; Computer science; Biology; Mathematics","score_opus":0.03357434020852021,"score_gpt":0.2968791263046166,"score_spread":0.2633047860960964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983669930","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985501,0.0000065693357,0.0001580295,0.00052379974,0.00064780907,0.00008796724,0.0000066199837,0.000008804051,0.000010293819],"genre_scores_gemma":[0.9989772,0.000027801478,0.00024363627,0.0006162537,0.00011306218,0.000002292256,0.0000019666409,0.000009273981,0.00000853326],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992519,0.0001456391,0.00026486648,0.00013548795,0.00008793704,0.00011415415],"domain_scores_gemma":[0.99895966,0.00046865453,0.0003032885,0.00013806144,0.00007869735,0.000051627958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007880663,0.00007806509,0.0001628928,0.0000726395,0.0001413317,0.000027462766,0.00014864033,0.00004551772,0.0000033505346],"category_scores_gemma":[0.0004564046,0.00006037976,0.00007120668,0.000065125605,0.00008367953,0.00008694324,0.000043938326,0.0002348892,9.0094403e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011836194,0.000042970023,0.000106400534,0.000006249277,0.0000016786851,0.0000024642382,0.000009131608,0.0038694085,0.9922595,0.00073441386,0.000008893631,0.0028404982],"study_design_scores_gemma":[0.0014627721,0.0024102791,0.39654064,0.000016191181,0.000047523758,0.0008084262,0.000008598879,0.43608266,0.1563827,0.0048912987,0.0010759319,0.00027299311],"about_ca_topic_score_codex":0.0000032663113,"about_ca_topic_score_gemma":0.0000030186752,"teacher_disagreement_score":0.8358768,"about_ca_system_score_codex":0.0000055826476,"about_ca_system_score_gemma":0.0000069672797,"threshold_uncertainty_score":0.24622151},"labels":[],"label_agreement":null},{"id":"W1983898405","doi":"10.3389/fnins.2014.00422","title":"Single-subject analyses of magnetoencephalographic evoked responses to the acoustic properties of affective non-verbal vocalizations","year":2014,"lang":"en","type":"article","venue":"Frontiers in Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"Biotechnology and Biological Sciences Research Council; Directorate for Biological Sciences","keywords":"Psychology; Valence (chemistry); Arousal; Stimulus (psychology); Anger; Categorization; Audiology; General linear model; Pleasure; Cognitive psychology; Affect (linguistics); Brain activity and meditation; Nonverbal communication; Electroencephalography; Developmental psychology; Linear model; Communication; Social psychology; Computer science; Neuroscience","score_opus":0.040655277086321946,"score_gpt":0.26970341844762624,"score_spread":0.2290481413613043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983898405","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93290865,0.00003244625,0.06456984,0.00026649114,0.0014467731,0.0004581479,0.000016253924,0.000025941892,0.00027547483],"genre_scores_gemma":[0.9988444,0.000026977199,0.00027956464,0.0006152057,0.00002141841,0.000028059358,3.2897742e-7,0.000011864154,0.00017219751],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979171,0.0004500856,0.00033999362,0.00052630785,0.000465282,0.00030123928],"domain_scores_gemma":[0.9989924,0.00027068902,0.00018750747,0.00040390305,0.00008015921,0.00006537631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004134595,0.00015797885,0.00025718784,0.0005062837,0.00018662108,0.000045457702,0.0006468912,0.0000404259,0.00000164336],"category_scores_gemma":[0.0048450697,0.00010793658,0.000076116674,0.0031013775,0.00083344604,0.00022565333,0.00012904557,0.0001336194,8.658063e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011247748,0.00009804474,0.0051713395,0.000021518477,8.3785903e-7,0.0000020326863,0.00023373916,0.017917918,0.97519904,0.000085319785,0.0002017299,0.00095600256],"study_design_scores_gemma":[0.0003323551,0.0013089611,0.06593302,0.000105578256,0.000029466688,0.000013350998,0.0001919173,0.25299305,0.67803425,0.0005133384,0.0003000182,0.00024470882],"about_ca_topic_score_codex":0.00006253971,"about_ca_topic_score_gemma":0.00004156942,"teacher_disagreement_score":0.2971648,"about_ca_system_score_codex":0.000029594126,"about_ca_system_score_gemma":0.000065614724,"threshold_uncertainty_score":0.58003515},"labels":[],"label_agreement":null},{"id":"W1983967766","doi":"10.1126/science.1144865","title":"Comment on \"Top-Down Versus Bottom-Up Control of Attention in the Prefrontal and Posterior Parietal Cortices\"","year":2007,"lang":"en","type":"letter","venue":"Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Posterior parietal cortex; Neuroscience; Parietal lobe; Top-down and bottom-up design; Psychology; Prefrontal cortex; Cognitive psychology; Computer science; Cognition","score_opus":0.02923480183815255,"score_gpt":0.275409166553105,"score_spread":0.24617436471495244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983967766","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7174375,0.0000233412,0.000065965854,0.27781057,0.0031306862,0.00072077743,0.00006427852,0.000017795746,0.00072906236],"genre_scores_gemma":[0.69639397,0.000008345985,0.000008383873,0.30335894,0.00010523879,0.00001067835,0.000005850272,0.0000066028792,0.00010194873],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976941,0.00014145674,0.00028386211,0.00056926,0.0009243923,0.00038692827],"domain_scores_gemma":[0.99884343,0.00051104854,0.00023896979,0.00033198204,0.000036912512,0.00003762809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007559041,0.00017902818,0.00019406684,0.00019423469,0.00020489341,0.00014831049,0.00055905594,0.00012854302,0.000009762919],"category_scores_gemma":[0.00026411735,0.00012110683,0.00005667156,0.00041227363,0.0009006017,0.00022561461,0.00008693447,0.0007342127,0.000009738787],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020843856,0.0003636428,0.0032033832,0.00023663916,0.00001514568,0.00051474693,0.0011130007,0.000019603955,0.91721374,0.0021012141,0.055718675,0.0174158],"study_design_scores_gemma":[0.021555109,0.015319359,0.2944521,0.0010300296,0.000353013,0.00057786884,0.001054602,0.03426661,0.050175246,0.0013598937,0.5765989,0.003257301],"about_ca_topic_score_codex":0.00005134171,"about_ca_topic_score_gemma":0.000019440256,"teacher_disagreement_score":0.8670385,"about_ca_system_score_codex":0.00008576774,"about_ca_system_score_gemma":0.000060460276,"threshold_uncertainty_score":0.49385932},"labels":[],"label_agreement":null},{"id":"W1984042064","doi":"10.1016/j.neubiorev.2005.04.007","title":"Acoustic characteristics of air puff-induced 22-kHz alarm calls in direct recordings","year":2005,"lang":"en","type":"article","venue":"Neuroscience & Biobehavioral Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":79,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"ALARM; Duration (music); Acoustics; Range (aeronautics); Modulation (music); Frequency modulation; Frequency band; Series (stratigraphy); Radio spectrum; Low frequency; Bioacoustics; Ultrasonic sensor; Audiology; Physics; Telecommunications; Computer science; Materials science; Electrical engineering; Radio frequency; Engineering; Medicine; Biology","score_opus":0.07988498216333088,"score_gpt":0.32775407067290363,"score_spread":0.24786908850957273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984042064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99668306,0.00018719288,0.00005378061,0.00009131908,0.0015965234,0.0008603499,0.000031977976,0.00007354745,0.0004222257],"genre_scores_gemma":[0.9944374,0.0024243959,0.0001144778,0.002460103,0.00009963781,0.00004374998,0.0000030710814,0.00003112376,0.00038607218],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99662185,0.00020974573,0.0010314564,0.0009648091,0.0005402475,0.00063187245],"domain_scores_gemma":[0.9985936,0.000019290675,0.0005553846,0.000576562,0.000055651133,0.00019949269],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000742286,0.0003587419,0.00068552303,0.0002702077,0.00015410913,0.00007657553,0.00068460155,0.00011599207,0.00006955662],"category_scores_gemma":[0.0016163429,0.00030024946,0.00020703326,0.0013131073,0.00023727775,0.0006035254,0.00017336513,0.00042070865,0.000080021535],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013365645,0.00020984345,0.003002039,0.000024580508,1.14330545e-8,0.000018958941,0.000031087293,0.000008421361,0.7671524,0.00003004184,0.00015531413,0.2293539],"study_design_scores_gemma":[0.0009649134,0.001511017,0.19385883,0.0005364828,0.00008752207,0.00014606238,0.000027316952,0.007952729,0.15034999,0.000049702292,0.6431216,0.0013937952],"about_ca_topic_score_codex":0.000059840284,"about_ca_topic_score_gemma":0.00004576803,"teacher_disagreement_score":0.64296633,"about_ca_system_score_codex":0.00012423279,"about_ca_system_score_gemma":0.000071362505,"threshold_uncertainty_score":0.999945},"labels":[],"label_agreement":null},{"id":"W1984087109","doi":"10.1186/1471-2202-11-s1-p122","title":"Calcium-dependent subthreshold fluctuations in membrane voltage; a modeling study","year":2010,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Subthreshold conduction; Noise (video); Biophysics; Membrane potential; Calcium; Intracellular; Conductance; Physics; Thermal fluctuations; Neuroscience; Ion channel; Chemistry; Calcium in biology; Voltage-dependent calcium channel; Voltage; Biology; Computer science; Condensed matter physics; Biochemistry","score_opus":0.07709253052003157,"score_gpt":0.30784584337980225,"score_spread":0.2307533128597707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984087109","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9884121,0.0000014839867,0.007897028,0.00012172445,0.0021673436,0.0006971989,0.00000966224,0.00012690344,0.00056655484],"genre_scores_gemma":[0.9984019,0.000003508623,0.00006693058,0.0007343927,0.00007050121,0.000063995976,6.7145527e-7,0.000023291726,0.000634802],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972781,0.00010821256,0.00038150695,0.001032461,0.0007029367,0.0004967969],"domain_scores_gemma":[0.998951,0.00018571784,0.00008568731,0.0005861677,0.000040426494,0.00015099577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005210167,0.00021046105,0.00018095368,0.00029457876,0.00036505872,0.00022235537,0.0006992962,0.000057967587,0.000034325087],"category_scores_gemma":[0.0016505034,0.00019257443,0.000059198715,0.001081865,0.00014895317,0.0005608535,0.00021568131,0.00058769516,0.000041716987],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017226625,0.00033334756,0.0057462254,0.000004769116,1.12663884e-7,0.000059239792,0.00010000288,0.016350372,0.9758721,0.0013570982,0.0000035878888,0.0001559426],"study_design_scores_gemma":[0.000620884,0.00016368071,0.022124637,0.00000528403,0.0000051590196,0.000050725022,0.00008452059,0.91598433,0.06008448,0.0005401063,0.00006115844,0.00027500017],"about_ca_topic_score_codex":0.00013672224,"about_ca_topic_score_gemma":0.0012811671,"teacher_disagreement_score":0.9157876,"about_ca_system_score_codex":0.000029108503,"about_ca_system_score_gemma":0.00010500016,"threshold_uncertainty_score":0.7852957},"labels":[],"label_agreement":null},{"id":"W1984109089","doi":"10.1016/j.cognition.2009.11.010","title":"Rescuing stimuli from invisibility: Inducing a momentary release from visual masking with pre-target entrainment","year":2009,"lang":"en","type":"article","venue":"Cognition","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":190,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Psychology; Stimulus (psychology); Entrainment (biomusicology); Backward masking; Visual masking; Neuroscience; Consciousness; Subliminal stimuli; Photic Stimulation; Cognitive psychology; Visual perception; Sensory system; Communication; Sensation; Audiology; Perception; Rhythm; Physics","score_opus":0.025024620350510007,"score_gpt":0.26482061007836033,"score_spread":0.23979598972785032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984109089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902244,0.000021745524,0.007955747,0.00047002465,0.0002026013,0.000387118,0.00011975214,0.00013812291,0.00048047592],"genre_scores_gemma":[0.9948573,0.000016598799,0.00067262305,0.0038193339,0.00022327293,0.000015538164,0.00035723433,0.000017811199,0.000020249014],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982822,0.00013283834,0.00024575822,0.00066975394,0.0003972461,0.00027220885],"domain_scores_gemma":[0.999313,0.00023027403,0.00012260767,0.00019272805,0.00003011818,0.00011126599],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011036904,0.00018550859,0.00016091687,0.00007831576,0.00021024016,0.00011726801,0.00009779463,0.00006625607,0.00018851906],"category_scores_gemma":[0.00015966668,0.00016682717,0.000045962763,0.0002074346,0.000046268735,0.00042089025,0.000039064653,0.00024227044,0.00002100999],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050107884,0.0002903945,0.0011084665,0.000007181267,0.000011589831,0.00008626291,0.0005264202,0.00038072313,0.9562289,0.000032734457,0.00007441479,0.040751822],"study_design_scores_gemma":[0.0030700837,0.0013974401,0.0683428,0.0005666718,0.00014683777,0.000014584849,0.00041844323,0.123253524,0.758009,0.043718774,0.00030276744,0.0007590768],"about_ca_topic_score_codex":0.000077577,"about_ca_topic_score_gemma":0.000017596274,"teacher_disagreement_score":0.19821991,"about_ca_system_score_codex":0.00011473896,"about_ca_system_score_gemma":0.000025681915,"threshold_uncertainty_score":0.6803014},"labels":[],"label_agreement":null},{"id":"W1984169872","doi":"10.1515/bmt.2009.040","title":"Symbolic transfer entropy: inferring directionality in biosignals","year":2009,"lang":"en","type":"article","venue":"Biomedizinische Technik/Biomedical Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft; University of Manitoba","keywords":"Transfer entropy; Directionality; Dynamical systems theory; Computer science; Entropy (arrow of time); Nonlinear system; Complex system; Artificial intelligence; Information transfer; Nonlinear dynamical systems; Statistical physics; Principle of maximum entropy; Physics; Biology","score_opus":0.01819218054908909,"score_gpt":0.24761610848525298,"score_spread":0.2294239279361639,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984169872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9654074,0.00012595231,0.026041662,0.0035336171,0.0014378844,0.0006574829,0.00004702879,0.001700271,0.0010487289],"genre_scores_gemma":[0.9980647,0.000045084693,0.00071995007,0.0007394136,0.00028647724,0.000044095552,0.000015799185,0.000031754487,0.000052730535],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99739474,0.00005301279,0.0005758769,0.00063823705,0.0006669564,0.0006711518],"domain_scores_gemma":[0.9991563,0.00019057016,0.000041982374,0.0002889669,0.00002163813,0.00030054493],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00046418377,0.00032366317,0.00036957854,0.0007614917,0.00008946117,0.00006215913,0.0003642363,0.00026911392,0.00008203588],"category_scores_gemma":[0.00055088033,0.00029628756,0.00013785498,0.0017910431,0.0001334442,0.000244371,0.00005543595,0.00054358173,0.0000371457],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001830737,0.00019837654,0.00009022223,0.000028235765,0.0000040926484,0.000056456698,0.00003826535,0.000048551003,0.9809925,0.011936341,0.00010251993,0.0064861476],"study_design_scores_gemma":[0.0022200574,0.0006849042,0.029138857,0.00038440028,0.00003156125,0.0002399132,0.000024161836,0.048793238,0.8171863,0.0016910881,0.09825101,0.0013544969],"about_ca_topic_score_codex":0.000014758421,"about_ca_topic_score_gemma":0.0000010904424,"teacher_disagreement_score":0.16380617,"about_ca_system_score_codex":0.00011847184,"about_ca_system_score_gemma":0.000045554203,"threshold_uncertainty_score":0.9999489},"labels":[],"label_agreement":null},{"id":"W1984402993","doi":"10.1097/00001756-200004270-00033","title":"Stimuli outside the classical receptive field modulate the synchronization of action potentials between cells in visual cortex of cats","year":2000,"lang":"en","type":"article","venue":"Neuroreport","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Université TÉLUQ; Université du Québec à Montréal","funders":"","keywords":"Receptive field; Neuroscience; Synchronization (alternating current); Visual cortex; Correlogram; Action (physics); CATS; Grating; Orientation (vector space); Psychology; Communication; Cortex (anatomy); Physics; Biology; Optics; Computer science; Mathematics; Artificial intelligence; Geometry; Telecommunications","score_opus":0.03999588601153729,"score_gpt":0.30560743334721746,"score_spread":0.26561154733568015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984402993","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99683803,0.0000022214538,0.00050968217,0.0011327724,0.00034647173,0.0003375153,0.000009471651,0.000018882536,0.0008049533],"genre_scores_gemma":[0.9988898,0.000044265973,0.0000063443968,0.00040460075,0.00007567798,0.0000067992614,0.0000053066246,0.000013002384,0.00055418996],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99851435,0.00020574803,0.0004887738,0.0002988543,0.00033717306,0.00015511608],"domain_scores_gemma":[0.998787,0.0005699952,0.00030627262,0.0002650479,0.00004401809,0.000027657752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021848091,0.00011004035,0.0001823765,0.000051876657,0.000084532956,0.000018192712,0.00016517159,0.00006944412,0.00011025362],"category_scores_gemma":[0.0003050681,0.000068853056,0.00007542855,0.0003514553,0.00012814863,0.00012596966,0.00003771246,0.00022791205,0.000008434605],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001001971,0.0001071333,0.005707767,0.0000146600705,0.0000063416023,0.000026063288,0.00014784522,0.0051145353,0.9340823,0.00006452582,0.00035607675,0.054272503],"study_design_scores_gemma":[0.00031061927,0.00056487217,0.2113137,0.000026013937,0.000043490007,0.000033471177,0.000033799457,0.043211933,0.7429983,0.0005975549,0.00072697154,0.00013925045],"about_ca_topic_score_codex":0.00010260396,"about_ca_topic_score_gemma":0.000026742922,"teacher_disagreement_score":0.20560594,"about_ca_system_score_codex":0.00002050245,"about_ca_system_score_gemma":0.000042627904,"threshold_uncertainty_score":0.28077462},"labels":[],"label_agreement":null},{"id":"W1984539970","doi":"10.1080/0964704x.2011.593118","title":"An Old Hypothesis and New Tools: Alfred Fessard's Approach to the Problem of Consciousness","year":2012,"lang":"en","type":"article","venue":"Journal of the History of the Neurosciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Consciousness; Promotion (chess); Cognitive science; Reading (process); Psychology; Neuroscience; Epistemology; Political science; Philosophy; Law","score_opus":0.08728881644845025,"score_gpt":0.24296223407740836,"score_spread":0.1556734176289581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984539970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98288697,0.00020935883,0.00008976447,0.002894502,0.012914136,0.00029824328,0.000008913205,0.0000065223935,0.0006915824],"genre_scores_gemma":[0.9914608,0.00002939216,0.00032821152,0.0016704064,0.00014346594,0.0000018989356,1.5484922e-8,0.000009750535,0.006356067],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99801964,0.0004725127,0.00039838534,0.0001873367,0.0007011142,0.00022102392],"domain_scores_gemma":[0.99822223,0.00035328287,0.0008303511,0.0004010192,0.000058848687,0.00013428462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010241589,0.00012663423,0.0002295438,0.000087298715,0.0002682229,0.000041450596,0.0015548873,0.000034142846,0.0000042299903],"category_scores_gemma":[0.0006307476,0.00005540463,0.00015782646,0.00037568682,0.0007808872,0.0005278117,0.00017018993,0.00022409986,5.5518825e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006895983,0.00023595823,0.0017040146,0.00002393278,0.0000034950256,3.9266746e-7,0.0022027055,0.0010769205,0.9772633,0.00057756563,0.01306665,0.0037761328],"study_design_scores_gemma":[0.0023847895,0.0031427825,0.28116453,0.0004728443,0.0005416687,0.0023436951,0.0024913074,0.0075789583,0.31254023,0.0067507885,0.37932473,0.0012636845],"about_ca_topic_score_codex":0.000044985714,"about_ca_topic_score_gemma":0.000009765962,"teacher_disagreement_score":0.66472304,"about_ca_system_score_codex":0.00007703611,"about_ca_system_score_gemma":0.00017708096,"threshold_uncertainty_score":0.28893933},"labels":[],"label_agreement":null},{"id":"W1984758739","doi":"10.1139/y04-075","title":"Encoding mechanisms for sensory neurons studied with a multielectrode array in the cat dorsal root ganglion","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Physiology and Pharmacology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Sensory system; Dorsal root ganglion; Neuroscience; Ankle; Anatomy; Multielectrode array; Dorsum; Position (finance); Sensory neuron; Computer science; Biology; Physics; Microelectrode","score_opus":0.02519992176474953,"score_gpt":0.26905266440894005,"score_spread":0.24385274264419052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984758739","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99532,0.000037240585,0.00064441544,0.0030993223,0.0006297079,0.00021707026,0.0000098666305,0.000002908838,0.000039420167],"genre_scores_gemma":[0.9961168,0.000024774617,0.00007116651,0.0036328884,0.00012270204,0.000011553838,8.916873e-7,0.000007721932,0.000011498569],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991559,0.00018486641,0.00015275658,0.00016451879,0.00004424229,0.00029771565],"domain_scores_gemma":[0.9994152,0.00028796258,0.000115899886,0.00004669557,0.000037456168,0.000096791686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018976704,0.00009930448,0.00016323483,0.00015132345,0.00024664056,0.000010106451,0.00014088229,0.000053133794,0.000017499979],"category_scores_gemma":[0.00005403827,0.00006488135,0.000036457426,0.00012793616,0.00015088989,0.00007143404,0.000004665468,0.0002605603,6.6093065e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018690726,0.000021980086,0.000033859724,0.000009634248,0.000009388466,0.00012394409,0.00045145914,0.001304076,0.99630564,0.0013660947,0.000070919355,0.000116067924],"study_design_scores_gemma":[0.0029071642,0.0020889507,0.0022377141,0.0000127584635,0.00006171262,0.0009451694,0.00019317183,0.0004493102,0.9757032,0.014493528,0.00075011066,0.00015720922],"about_ca_topic_score_codex":0.00020036969,"about_ca_topic_score_gemma":0.004492084,"teacher_disagreement_score":0.020602468,"about_ca_system_score_codex":0.000054458636,"about_ca_system_score_gemma":0.00024787948,"threshold_uncertainty_score":0.26457846},"labels":[],"label_agreement":null},{"id":"W1984836442","doi":"10.1007/s00221-007-0989-x","title":"Quantifying the effects of voluntary contraction and inter-stimulus interval on the human soleus H-reflex","year":2007,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":101,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research; Christopher and Dana Reeve Foundation","keywords":"H-reflex; Reflex; Soleus muscle; Contraction (grammar); Muscle contraction; Stimulation; Stimulus (psychology); Chemistry; Internal medicine; Neuroscience; Medicine; Psychology; Skeletal muscle","score_opus":0.12749098451045207,"score_gpt":0.43451711578551794,"score_spread":0.30702613127506584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984836442","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949943,0.00007635216,0.00004948198,0.001967326,0.00038456422,0.00058409426,0.0000066556067,0.000024477196,0.0019127937],"genre_scores_gemma":[0.99807715,0.00000559579,0.0000067769033,0.0011202566,0.00010438264,0.000037807113,0.0000030925496,0.000017327886,0.00062758283],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99799424,0.0005411787,0.00021202031,0.00033451483,0.0005472039,0.00037085687],"domain_scores_gemma":[0.9924765,0.007080695,0.00006482561,0.00027853163,0.000034984678,0.000064440064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00155512,0.000122011734,0.00011708598,0.00012642209,0.0006664745,0.000097533455,0.00030872543,0.00004955685,0.00012504811],"category_scores_gemma":[0.0013421535,0.00007036548,0.00006040817,0.00024302815,0.0006067974,0.00011823642,0.00024925522,0.0005576955,0.000022930899],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018550637,0.0001463889,0.00014768193,0.000018640098,0.000005866207,0.0000248003,0.0006853048,6.406612e-7,0.98449767,0.006443836,0.0028356079,0.0050080847],"study_design_scores_gemma":[0.00036466646,0.0011301263,0.0054041566,0.000084673375,0.0000015588795,0.00001765023,0.0012803361,0.0010673754,0.9890455,0.00021868177,0.0013054071,0.00007984221],"about_ca_topic_score_codex":0.00018314249,"about_ca_topic_score_gemma":0.000039180046,"teacher_disagreement_score":0.006539516,"about_ca_system_score_codex":0.00009462213,"about_ca_system_score_gemma":0.000011973798,"threshold_uncertainty_score":0.512605},"labels":[],"label_agreement":null},{"id":"W1984947344","doi":"10.1016/j.clinph.2011.09.023","title":"High inter-reviewer variability of spike detection on intracranial EEG addressed by an automated multi-channel algorithm","year":2011,"lang":"en","type":"article","venue":"Clinical Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":96,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"National Institute of Neurological Disorders and Stroke; National Institutes of Health; Epilepsy Foundation","keywords":"Spike (software development); Ictal; Ranking (information retrieval); Computer science; Electroencephalography; Sensitivity (control systems); Set (abstract data type); Channel (broadcasting); Human brain; Algorithm; Artificial intelligence; Pattern recognition (psychology); Epilepsy; Neuroscience; Psychology","score_opus":0.0796527774226002,"score_gpt":0.3413583218937117,"score_spread":0.2617055444711115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984947344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98376286,0.0000012338339,0.009958057,0.000047379395,0.0053728847,0.00042909494,0.00009070488,0.00031120837,0.000026554077],"genre_scores_gemma":[0.99730587,0.00006242207,0.0005288885,0.0017997972,0.00019137246,0.000022995388,0.000017089491,0.000034019897,0.000037531972],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99574727,0.0018215838,0.000945865,0.0010205321,0.00014751632,0.00031725824],"domain_scores_gemma":[0.99769926,0.0009507823,0.00039839867,0.0006347217,0.00015443828,0.00016241765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042224638,0.00025684046,0.00060007116,0.0000640117,0.000096805015,0.000010796085,0.00039085856,0.00025861184,0.0001171816],"category_scores_gemma":[0.003971886,0.00020871154,0.00020296723,0.00023991082,0.00048069478,0.0001400075,0.00012996868,0.00056762365,0.000094663716],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072042504,0.0027118989,0.00006677371,0.00003007939,0.000009866133,0.000028346716,0.000018995908,0.00005502181,0.9322607,0.000069728274,0.00017143706,0.063856736],"study_design_scores_gemma":[0.002841375,0.01562656,0.21917087,0.00004459064,0.000070305345,0.000022503895,0.000005502477,0.62545264,0.13288762,0.002801175,0.00043418776,0.000642654],"about_ca_topic_score_codex":0.00006899847,"about_ca_topic_score_gemma":0.0000034819725,"teacher_disagreement_score":0.7993731,"about_ca_system_score_codex":0.000016602164,"about_ca_system_score_gemma":0.000017034792,"threshold_uncertainty_score":0.851101},"labels":[],"label_agreement":null},{"id":"W1985318799","doi":"10.1002/hipo.20979","title":"BOSC: A better oscillation detection method, extracts both sustained and transient rhythms from rat hippocampal recordings","year":2011,"lang":"en","type":"article","venue":"Hippocampus","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":99,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Rhythm; Oscillation (cell signaling); Hippocampal formation; Neuroscience; Electroencephalography; Transient (computer programming); Local field potential; Population; Theta rhythm; Amplitude; Spectral analysis; Pattern recognition (psychology); Psychology; Computer science; Artificial intelligence; Physics; Chemistry; Medicine; Acoustics","score_opus":0.030359965868095914,"score_gpt":0.24641683189055857,"score_spread":0.21605686602246266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985318799","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95850676,0.00003361794,0.037673946,0.00027335304,0.0015067213,0.00040761923,0.000013733534,0.00017971659,0.0014045353],"genre_scores_gemma":[0.9947892,0.00005054198,0.0033718967,0.0012558203,0.00020133673,0.00002998156,0.000008854068,0.00004113158,0.0002512426],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99791837,0.00028043715,0.00034096118,0.000767209,0.0002847518,0.00040824615],"domain_scores_gemma":[0.99902236,0.00029965257,0.0001815027,0.0002769663,0.000047717116,0.00017178376],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033350894,0.0002699113,0.00024622178,0.00016763266,0.00028985654,0.00010708518,0.00011291046,0.00016458752,0.00016147281],"category_scores_gemma":[0.00023571846,0.00024769065,0.000095045456,0.00031168945,0.00009118353,0.00049517356,0.00004523768,0.00028252267,0.00003383595],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034645133,0.000058871265,0.00072604266,0.000018962959,0.000008306056,0.000054531407,0.0012130936,0.0000106829,0.75657415,0.00020218699,0.00014310158,0.2406436],"study_design_scores_gemma":[0.0053224433,0.0019684818,0.08781948,0.0001504543,0.00027885928,0.0006635311,0.0011160092,0.08381987,0.67876196,0.12248066,0.015312132,0.0023061126],"about_ca_topic_score_codex":0.00020076358,"about_ca_topic_score_gemma":0.00008179482,"teacher_disagreement_score":0.2383375,"about_ca_system_score_codex":0.00008320436,"about_ca_system_score_gemma":0.000024352714,"threshold_uncertainty_score":0.99999756},"labels":[],"label_agreement":null},{"id":"W1985483057","doi":"10.1007/s002210000646","title":"Long-term cholinergic enhancement of evoked potentials in rat hindlimb somatosensory cortex displays characteristics of long-term potentiation","year":2001,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"Medical Research Council","keywords":"Long-term potentiation; Neuroscience; Basal forebrain; Cholinergic; Stimulation; Tetanic stimulation; Chemistry; NMDA receptor; Somatosensory system; Psychology; Receptor","score_opus":0.05718036046292235,"score_gpt":0.3656655416390347,"score_spread":0.30848518117611234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985483057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975743,0.00014958323,0.00016520571,0.00031185473,0.00051156397,0.0008580626,0.000029032575,0.00002314535,0.0003772142],"genre_scores_gemma":[0.9971786,0.00025314657,0.000017656921,0.00012081689,0.00009909799,0.000066758854,0.000095315925,0.000037838847,0.0021307645],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9960779,0.0005654479,0.0008324312,0.0006611131,0.0012294768,0.00063365384],"domain_scores_gemma":[0.9985431,0.00038269866,0.00031009424,0.00048235265,0.00013800367,0.00014374932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007893165,0.00024362339,0.0004133265,0.000506497,0.00016832666,0.00007305469,0.000443109,0.00012750496,0.00050537055],"category_scores_gemma":[0.00033693592,0.0002357306,0.00013533789,0.0006874135,0.00037640284,0.00031654423,0.00030104554,0.0003524736,0.000042429776],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047423114,0.0012030284,0.039108526,0.00008709015,0.000010484781,0.00020446083,0.00024586744,0.000008516529,0.9565239,0.00027963868,0.00006163312,0.0017926038],"study_design_scores_gemma":[0.0009245786,0.0003997486,0.30489734,0.00010557766,0.000003701649,0.000033193886,0.000048166767,0.0008603975,0.6925398,0.000032160682,0.0000055730106,0.00014975155],"about_ca_topic_score_codex":0.00004828368,"about_ca_topic_score_gemma":0.000015030195,"teacher_disagreement_score":0.2657888,"about_ca_system_score_codex":0.00020048546,"about_ca_system_score_gemma":0.00007029534,"threshold_uncertainty_score":0.9612815},"labels":[],"label_agreement":null},{"id":"W1985632589","doi":"10.3389/fnsys.2014.00203","title":"Chaos analysis of EEG during isoflurane-induced loss of righting in rats","year":2014,"lang":"en","type":"article","venue":"Frontiers in Systems Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Brain Institute; University of Calgary","funders":"National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Electroencephalography; Isoflurane; Attractor; Delta wave; Burst suppression; Amplitude; Physics; Chaotic; Electrophysiology; Neuroscience; Audiology; Anesthesia; Psychology; Mathematics; Non-rapid eye movement sleep; Medicine; Computer science; Mathematical analysis; Artificial intelligence; Optics","score_opus":0.01728217271412037,"score_gpt":0.2379543179114485,"score_spread":0.22067214519732814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985632589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937682,0.000018395587,0.0023208326,0.000035263645,0.00325658,0.00028842772,0.000010687123,0.000023706012,0.00027788794],"genre_scores_gemma":[0.9997089,0.000018111397,0.00004800981,0.000054221895,0.000025269494,0.0000140665925,5.8847075e-7,0.000012550573,0.00011829303],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971736,0.00039753912,0.00077259616,0.0007042033,0.0005483803,0.0004036761],"domain_scores_gemma":[0.9988194,0.00016275195,0.00046619464,0.00044133991,0.00004028187,0.00007004062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007001255,0.00017684826,0.00061817165,0.0012953172,0.00008864868,0.00003915714,0.00055557594,0.00007420834,0.0000014084984],"category_scores_gemma":[0.0008706419,0.00016226001,0.00011545077,0.004206147,0.00020635659,0.00031637287,0.000093875584,0.00019747428,7.5404506e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025264551,0.000053535223,0.104134165,0.00008060903,0.0000023692915,0.00001716335,0.00016139621,0.01323478,0.8817978,0.00033189377,0.000007529661,0.0001534784],"study_design_scores_gemma":[0.0004920494,0.00012566675,0.23822036,0.00012910583,0.000029028,0.0000127701505,0.00010325483,0.565603,0.19493674,0.000053438365,0.000056247005,0.00023833272],"about_ca_topic_score_codex":0.00018662677,"about_ca_topic_score_gemma":0.000030905438,"teacher_disagreement_score":0.6868611,"about_ca_system_score_codex":0.000068073874,"about_ca_system_score_gemma":0.000029245864,"threshold_uncertainty_score":0.6616771},"labels":[],"label_agreement":null},{"id":"W1985670005","doi":"10.1167/11.11.1241","title":"Working memory representations of visual motion direction are encoded in the firing patterns of neurons in dorsolateral prefrontal cortex, but not in area MT","year":2011,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Working memory; Neuroscience; Dorsolateral prefrontal cortex; Psychology; Receptive field; Visual cortex; Stimulus (psychology); Prefrontal cortex; Visual memory; Cognition; Cognitive psychology","score_opus":0.04990320192344318,"score_gpt":0.2945253369834346,"score_spread":0.24462213505999142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985670005","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987783,0.000008151786,0.00039451287,0.00008053433,0.0005065715,0.0001495488,0.0000028344487,0.000005847061,0.0000737019],"genre_scores_gemma":[0.99981856,0.000043749853,0.00003229344,0.00004646138,0.000032448963,0.0000022680902,7.3883064e-7,0.000010787907,0.0000126894765],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984851,0.00028438927,0.00063403096,0.00015938218,0.0003110877,0.00012603916],"domain_scores_gemma":[0.99903893,0.0001839068,0.0006084611,0.0001081359,0.00003743209,0.000023143662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000459169,0.00008652919,0.00019197521,0.00039406228,0.000035455505,0.0000162767,0.00015185188,0.00004915346,0.00000733443],"category_scores_gemma":[0.00020999592,0.00006454329,0.00007829391,0.00031671397,0.000026934762,0.0003740753,0.000040800514,0.00031856063,3.7844143e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032637396,0.00039889326,0.18213725,0.000015426882,0.0000015052301,0.00006537819,0.0017076456,0.0011300935,0.8094511,0.000009550847,0.0000028254503,0.004753943],"study_design_scores_gemma":[0.00057384203,0.00033135465,0.92389196,0.00031992147,0.000005616112,0.00005517024,0.0004535506,0.018016733,0.056180198,0.00011944585,8.6586397e-7,0.00005136787],"about_ca_topic_score_codex":0.00026319697,"about_ca_topic_score_gemma":0.00069277897,"teacher_disagreement_score":0.7532709,"about_ca_system_score_codex":0.000059069207,"about_ca_system_score_gemma":0.000014544684,"threshold_uncertainty_score":0.2631999},"labels":[],"label_agreement":null},{"id":"W1985772576","doi":"10.1016/s0167-8760(03)00144-2","title":"Analysis of frequency components of cortical potentials evoked by progressive misalignment of Kanizsa squares","year":2003,"lang":"en","type":"article","venue":"International Journal of Psychophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stimulus (psychology); Perception; Neuroscience; Oscillation (cell signaling); Psychology; Electroencephalography; Physics; Audiology; Fast Fourier transform; Wavelet; Mathematics; Chemistry; Cognitive psychology; Artificial intelligence; Computer science; Medicine","score_opus":0.020634107724823922,"score_gpt":0.30819529469707796,"score_spread":0.287561186972254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985772576","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99767715,0.0000736371,0.0006523267,0.0001735605,0.0010794613,0.00007170937,0.0000901736,0.0000021788046,0.00017978031],"genre_scores_gemma":[0.99949765,0.0000758826,0.00022530112,0.00013038935,0.00003493,0.0000014972658,0.000011062263,0.0000061916307,0.000017106384],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980212,0.00027639672,0.0008841653,0.00016746153,0.0005325452,0.00011825868],"domain_scores_gemma":[0.9977052,0.00027544535,0.0013679661,0.00012432139,0.00047595394,0.000051120333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001792625,0.00010044589,0.00043141792,0.00034013536,0.000017426642,0.0000059139043,0.00036048327,0.00005818548,0.00019358774],"category_scores_gemma":[0.00039794346,0.000080221536,0.00029754985,0.000283518,0.00017517945,0.0000859954,0.000024131083,0.00012029021,0.0000012434523],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041719177,0.00060230633,0.0024025983,0.000008235165,0.0005681573,0.0000137844,0.000046071884,0.00041304188,0.99280775,0.0023041684,0.00013873591,0.00027798605],"study_design_scores_gemma":[0.0016885517,0.0013239159,0.07246924,0.00008205348,0.0004176299,0.00006249973,0.00006413819,0.001259422,0.910891,0.011456753,0.00013340068,0.00015137394],"about_ca_topic_score_codex":0.000018248478,"about_ca_topic_score_gemma":8.0844023e-7,"teacher_disagreement_score":0.081916705,"about_ca_system_score_codex":0.000030007304,"about_ca_system_score_gemma":0.00002948148,"threshold_uncertainty_score":0.32713395},"labels":[],"label_agreement":null},{"id":"W1985772724","doi":"10.1016/j.robot.2008.04.001","title":"Space-variant motion detection for active visual target tracking","year":2008,"lang":"en","type":"article","venue":"Robotics and Autonomous Systems","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Computer vision; Artificial intelligence; Tracking (education); Motion detection; Tracking system; Match moving; Active vision; Motion (physics)","score_opus":0.03133055774320504,"score_gpt":0.2488935004287606,"score_spread":0.21756294268555557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985772724","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.479128,0.000061907784,0.5163346,0.00026484163,0.0026417538,0.00097008,0.000035676792,0.00016760133,0.0003955217],"genre_scores_gemma":[0.9987513,0.00002996423,0.00025838023,0.000054417967,0.00026450804,0.00003402025,0.00000664086,0.000024901505,0.000575911],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989585,0.00006167287,0.00022179303,0.00037420355,0.00013547142,0.00024835631],"domain_scores_gemma":[0.99949133,0.00013399386,0.00014901612,0.00009978713,0.000052242496,0.00007364643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000121968755,0.00014646463,0.00019245561,0.000083991465,0.00050272566,0.00009732964,0.00005517748,0.00008902343,0.0000017906602],"category_scores_gemma":[0.00010532811,0.00013370857,0.000060302915,0.00012048257,0.00004715282,0.0002020661,0.000022262164,0.000105917716,0.000005955324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011146742,0.00018702586,0.00016526064,0.0001510528,0.000019753823,0.000056915516,0.00046746322,0.13026823,0.83872986,0.017829672,0.000050599916,0.011962666],"study_design_scores_gemma":[0.00045714556,0.00030932695,0.0009311201,0.000022044114,0.000014431328,0.00042634242,0.00007317796,0.93386775,0.06214924,0.00032003506,0.0012103787,0.00021901549],"about_ca_topic_score_codex":0.000046724246,"about_ca_topic_score_gemma":0.000005743334,"teacher_disagreement_score":0.8035995,"about_ca_system_score_codex":0.00008245092,"about_ca_system_score_gemma":0.00002663334,"threshold_uncertainty_score":0.54524773},"labels":[],"label_agreement":null},{"id":"W1985839160","doi":"10.1037/a0031323","title":"Visuocortical changes during delay and trace aversive conditioning: Evidence from steady-state visual evoked potentials.","year":2013,"lang":"en","type":"article","venue":"Emotion","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Mental Health; Canadian Institutes of Health Research","keywords":"Psychology; Stimulus (psychology); Conditioning; Aversive Stimulus; Classical conditioning; Fear conditioning; Sensory system; Expectancy theory; Neuroscience; Cognitive psychology; Audiology; Developmental psychology; Amygdala; Social psychology","score_opus":0.023672829416654162,"score_gpt":0.2573161935734799,"score_spread":0.23364336415682574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985839160","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958977,0.000028122256,0.0020001978,0.0012135413,0.0003827757,0.0003333166,0.000012452198,0.00008271711,0.000049155977],"genre_scores_gemma":[0.9988508,0.00010286397,0.000055898054,0.00019598879,0.000114162096,0.000019966548,0.000009213635,0.000014386246,0.00063668686],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99882644,0.00012944276,0.00015691815,0.00042273456,0.00023834287,0.00022611745],"domain_scores_gemma":[0.9994329,0.00020489808,0.000099144636,0.00010696301,0.00005248248,0.00010361857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006915544,0.0001297101,0.00012153124,0.000075783835,0.00024802482,0.00016703134,0.00007414777,0.000056608995,0.0003015495],"category_scores_gemma":[0.00028425903,0.000122009595,0.000033156768,0.00012884605,0.00009291948,0.00066898926,0.00006092143,0.0001379153,0.00018004722],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031981726,0.00003251782,0.0006686421,0.00001339996,0.000003970393,0.000018119736,0.0003157973,0.00008398583,0.99623644,0.00006734348,0.000062955536,0.002464845],"study_design_scores_gemma":[0.0008062582,0.00036532432,0.46541664,0.00018613915,0.000036765203,0.00006738129,0.00022387718,0.08335289,0.44654554,0.0025948437,0.000043527332,0.00036082754],"about_ca_topic_score_codex":0.00017526821,"about_ca_topic_score_gemma":0.000025289528,"teacher_disagreement_score":0.5496909,"about_ca_system_score_codex":0.000046732042,"about_ca_system_score_gemma":0.000009417532,"threshold_uncertainty_score":0.49754068},"labels":[],"label_agreement":null},{"id":"W1985946645","doi":"10.1016/s0378-5955(01)00282-9","title":"Cortical reorganization in patients with high frequency cochlear hearing loss","year":2001,"lang":"en","type":"article","venue":"Hearing Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":169,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Deutsche Forschungsgemeinschaft","keywords":"Tonotopy; Auditory cortex; Magnetoencephalography; Hearing loss; Neuroscience; Audiology; Neuroplasticity; Cortex (anatomy); Sensory system; Psychology; Medicine; Electroencephalography","score_opus":0.06867187204062598,"score_gpt":0.3238037414340961,"score_spread":0.25513186939347016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985946645","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980999,0.0000028162372,0.0000870121,0.00048875634,0.000104744075,0.00030314803,0.0000013017891,0.00008842599,0.0008238656],"genre_scores_gemma":[0.999358,0.000021054317,0.0000930091,0.00011154791,0.00005058393,0.000010202108,0.000005199313,0.0000407318,0.0003096686],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977494,0.00025107275,0.0001880403,0.000454373,0.0008130301,0.0005441071],"domain_scores_gemma":[0.99915606,0.00029065006,0.000024108287,0.00026237185,0.00015585404,0.00011094043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052353024,0.00009583991,0.000118483986,0.00026040632,0.00025134132,0.000118542746,0.0001687649,0.00006619054,0.000073762734],"category_scores_gemma":[0.0010713461,0.000082483064,0.000013762847,0.0013390654,0.00014546666,0.00023988957,0.00012929809,0.00067611807,0.00009542121],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017844052,0.00019481954,0.94662946,0.000017488672,0.0000012102605,0.000094328454,0.00006956851,0.0001441201,0.046250943,0.0055710766,0.00002525386,0.0008232851],"study_design_scores_gemma":[0.0007287092,0.00030969045,0.99209195,0.000057650584,0.000001035509,0.000011406308,0.000012132568,0.0012134309,0.0043978905,0.0009711276,0.00008808644,0.00011691036],"about_ca_topic_score_codex":0.00041869783,"about_ca_topic_score_gemma":0.000065722306,"teacher_disagreement_score":0.045462463,"about_ca_system_score_codex":0.00018133633,"about_ca_system_score_gemma":0.00005235236,"threshold_uncertainty_score":0.33635616},"labels":[],"label_agreement":null},{"id":"W1986077711","doi":"10.3791/50872","title":"Functional Imaging of Auditory Cortex in Adult Cats using High-field fMRI","year":2014,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Auditory cortex; Neuroscience; Sensory system; Functional magnetic resonance imaging; Stimulus (psychology); CATS; Auditory system; Electrophysiology; Auditory imagery; Psychology; Cognitive neuroscience of music; Medicine; Cognition","score_opus":0.03232889848494993,"score_gpt":0.3726437925436777,"score_spread":0.3403148940587278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986077711","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99253976,0.000027520167,0.004257565,0.00013077259,0.0027490861,0.0000714646,0.0000014630278,0.000007525403,0.00021482055],"genre_scores_gemma":[0.9983446,0.000017680306,0.00045743724,0.0007859546,0.00032396667,0.0000015204549,6.6528077e-7,0.000015443642,0.00005271739],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983877,0.00016892828,0.0005888873,0.00017687434,0.0004918777,0.00018572384],"domain_scores_gemma":[0.99887913,0.00020357543,0.0005911462,0.00011634382,0.00013264673,0.00007716033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026521296,0.00012430499,0.00027252678,0.00025446346,0.00006387478,0.000027175645,0.00015030298,0.000046374378,0.00009942539],"category_scores_gemma":[0.00045209157,0.00010911614,0.00010287548,0.0001885813,0.000047014863,0.00030734067,0.00004576981,0.00019038742,0.0000046932405],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002762215,0.0001922134,0.0015728206,0.000009807299,0.000006069272,0.000016010888,0.00012027236,0.0001843885,0.99561673,0.0007879262,0.00054058473,0.0006769533],"study_design_scores_gemma":[0.002667531,0.00034009683,0.0081039285,0.00015593648,0.000014683653,0.00009556669,0.00012793712,0.017144807,0.9703946,0.0005626251,0.00023616658,0.00015612738],"about_ca_topic_score_codex":0.0000605216,"about_ca_topic_score_gemma":0.0000015831417,"teacher_disagreement_score":0.025222138,"about_ca_system_score_codex":0.00009275254,"about_ca_system_score_gemma":0.00005286739,"threshold_uncertainty_score":0.4449627},"labels":[],"label_agreement":null},{"id":"W1986144098","doi":"10.1162/neco_a_00366","title":"A Compartmental Model of Linear Resonance and Signal Transfer in Dendrites","year":2012,"lang":"en","type":"article","venue":"Neural Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Soma; Transfer function; Electrical impedance; Nonlinear system; SIGNAL (programming language); Biological system; Linear model; Dendrite (mathematics); Computation; Control theory (sociology); Physics; Resonance (particle physics); Computer science; Topology (electrical circuits); Algorithm; Mathematics; Engineering; Neuroscience; Geometry; Artificial intelligence","score_opus":0.056861132671890316,"score_gpt":0.27986442626157576,"score_spread":0.22300329358968546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986144098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99381316,0.0000613343,0.005732002,0.0000785736,0.000079340934,0.00012453052,0.000010627224,0.000016757802,0.00008365051],"genre_scores_gemma":[0.9993668,0.000009867806,0.00033204252,0.00023465214,0.000022345745,0.0000037049967,0.000004648171,0.0000057313873,0.000020204578],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942803,0.000054717657,0.0001334378,0.00013141437,0.00012199711,0.00013038669],"domain_scores_gemma":[0.9997969,0.000102208556,0.000023463512,0.000031747248,0.000010960588,0.000034711084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005868042,0.000067041394,0.000090605834,0.000057118617,0.000040472212,0.000007765347,0.00003377802,0.000022692393,0.0000025109705],"category_scores_gemma":[0.000013230829,0.00006219275,0.000019910207,0.000119710276,0.000042508884,0.00024414164,0.000013974464,0.00007572912,0.0000013731348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009680297,0.00012311476,0.007635615,0.000025290095,6.764116e-7,0.00000157286,0.00041504254,0.058151614,0.92127466,0.0015583554,0.000031083397,0.0106861545],"study_design_scores_gemma":[0.0003237689,0.00006816429,0.009004659,0.000009801009,0.0000022625343,0.000008374523,0.000008346129,0.93074,0.059451025,0.00031454902,0.0000112842345,0.00005777743],"about_ca_topic_score_codex":0.000004990559,"about_ca_topic_score_gemma":0.000004704487,"teacher_disagreement_score":0.8725884,"about_ca_system_score_codex":0.000012400264,"about_ca_system_score_gemma":0.000004481877,"threshold_uncertainty_score":0.25361466},"labels":[],"label_agreement":null},{"id":"W1986285987","doi":"10.1073/pnas.0810390106","title":"The fractions of short- and long-range connections in the visual cortex","year":2009,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":222,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Eye Institute; National Institutes of Health; National Institute of Neurological Disorders and Stroke; Magyar Tudományos Akadémia; Debreceni Egyetem; European Regional Development Fund; Deutsche Forschungsgemeinschaft; University of Southern California","keywords":"Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Neuroscience; Ocular dominance column; Visual cortex; Biology; Neuron; Cortex (anatomy); Electrophysiology; Ocular dominance; Anatomy","score_opus":0.05333111199734177,"score_gpt":0.33533974984858567,"score_spread":0.2820086378512439,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986285987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98381335,0.00004746815,0.0000014831878,0.013901493,0.00003111911,0.00017288722,0.0000055875753,0.0000047141443,0.0020219118],"genre_scores_gemma":[0.99898595,0.00009074096,0.00001589243,0.0008135035,0.00003067943,0.0000054076495,2.7653284e-8,0.0000012844246,0.00005652979],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988058,0.000014633499,0.0002268353,0.00016184435,0.0006884401,0.000102398946],"domain_scores_gemma":[0.9991243,0.0005698413,0.00019410512,0.000008188271,0.00009002451,0.000013556159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009387521,0.000056345743,0.00007585571,0.00009383272,0.00044513802,0.000037750935,0.0004518671,0.000036053643,0.0000030357917],"category_scores_gemma":[0.000954467,0.000027341697,0.000040733823,0.0008779793,0.000809755,0.00032144232,0.00003901024,0.0001704817,2.2992394e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019315283,0.000098195036,0.008966556,0.000009659181,0.0000021435337,1.1335867e-8,0.00017232564,0.00006092176,0.7953432,0.19369285,0.00021309334,0.0014216814],"study_design_scores_gemma":[0.0001053673,0.00015022045,0.87679225,0.00003073831,0.000008148655,0.00002822935,0.00032482954,0.0067239283,0.057348706,0.05816484,0.00026492256,0.00005782917],"about_ca_topic_score_codex":0.0000039010083,"about_ca_topic_score_gemma":8.836891e-7,"teacher_disagreement_score":0.8678257,"about_ca_system_score_codex":0.000011290187,"about_ca_system_score_gemma":0.000014044285,"threshold_uncertainty_score":0.3423687},"labels":[],"label_agreement":null},{"id":"W1986309749","doi":"10.1016/j.neuroscience.2006.12.031","title":"Intrinsic membrane properties and synaptic response characteristics of neurons in the rat’s external cortex of the inferior colliculus","year":2007,"lang":"en","type":"article","venue":"Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inferior colliculus; Neuroscience; Excitatory postsynaptic potential; Depolarization; Inhibitory postsynaptic potential; Hyperpolarization (physics); Bursting; Auditory cortex; Biology; Brainstem; Sensory system; Electrophysiology; Population; Membrane potential; Stimulation; Nucleus; Chemistry; Biophysics; Medicine","score_opus":0.033739508746653074,"score_gpt":0.243206865186746,"score_spread":0.20946735644009293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986309749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99817884,0.00000933908,0.000047275054,0.00064215064,0.00069563475,0.0003653984,0.0000079699785,0.000010129963,0.000043240343],"genre_scores_gemma":[0.99794894,0.000037161757,0.000005918526,0.0018811377,0.000014311222,0.0000058442756,4.9048698e-8,0.000007322196,0.00009933981],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983045,0.00034348154,0.00036179324,0.00031004823,0.0004375568,0.00024265489],"domain_scores_gemma":[0.9987856,0.0005713292,0.00021985976,0.00034114422,0.000042076816,0.00003997788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086397276,0.00011646986,0.00015911426,0.000101513426,0.00015908593,0.000049493246,0.00053971744,0.000028014709,0.0000018993877],"category_scores_gemma":[0.0029640407,0.00006449945,0.00003960147,0.0007871681,0.0008934004,0.00014965856,0.00016384118,0.00021828897,6.835054e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003119583,0.00006435583,0.007095626,0.000018452944,1.5956134e-7,0.000024512914,0.00023222741,0.000014212971,0.9908101,0.000449466,0.0000021022856,0.0009768246],"study_design_scores_gemma":[0.00017572654,0.00025655815,0.77831095,0.000034096316,0.000004695827,0.0001325024,0.00003304309,0.002043627,0.21876217,0.000029297376,0.00015334936,0.000063958236],"about_ca_topic_score_codex":0.000020344622,"about_ca_topic_score_gemma":0.000018239194,"teacher_disagreement_score":0.77204794,"about_ca_system_score_codex":0.00001413918,"about_ca_system_score_gemma":0.000068820766,"threshold_uncertainty_score":0.35484478},"labels":[],"label_agreement":null},{"id":"W1986437904","doi":"10.1016/j.schres.2007.12.128","title":"61 – Pre-stimulus theta power predicts the suppression of beta synchronization during motor response: Does a disrupted effect in schizophrenia reflect pathological baseline theta activity?","year":2008,"lang":"en","type":"article","venue":"Schizophrenia Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Psychology; Electroencephalography; Cognitive psychology; Stimulus (psychology); Cognition; Event-related potential; Task (project management); Arithmetic; Semantic memory; Negativity effect; Audiology; Neuroscience; Mathematics","score_opus":0.03417463157505042,"score_gpt":0.3271583948214008,"score_spread":0.2929837632463504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986437904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957473,0.00009320887,0.00010638934,0.0015790018,0.00035351474,0.0017312067,0.00012983283,0.00013306667,0.00012647135],"genre_scores_gemma":[0.99843687,0.00014443594,0.00008230389,0.00003156734,0.00013412187,0.00017186116,0.000013602661,0.0000613572,0.00092387904],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.98821723,0.0074000233,0.0005758452,0.0011400384,0.0017429191,0.0009239252],"domain_scores_gemma":[0.9933011,0.0049389917,0.0002110909,0.0011544804,0.00020210318,0.0001922594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043804185,0.0003912799,0.00050270604,0.00066210557,0.0012125749,0.00014041217,0.00096446933,0.0002831518,0.00013718392],"category_scores_gemma":[0.008329724,0.00021444415,0.00018859113,0.0019727917,0.0010616877,0.00047552216,0.00071704166,0.0015723164,0.000032275413],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.059067875,0.0003360749,0.0027401443,0.00006869067,0.0000095152045,0.00025402074,0.00033248842,0.00037218898,0.93448925,0.00013146244,0.000056720903,0.0021415479],"study_design_scores_gemma":[0.0052055786,0.0023545953,0.42950833,0.00028118497,0.000017839951,0.00015184686,0.000026283096,0.045100905,0.5160139,0.00088985584,0.000056805664,0.00039286938],"about_ca_topic_score_codex":0.000070592076,"about_ca_topic_score_gemma":0.00005862366,"teacher_disagreement_score":0.42676818,"about_ca_system_score_codex":0.0001989542,"about_ca_system_score_gemma":0.00031095947,"threshold_uncertainty_score":0.997206},"labels":[],"label_agreement":null},{"id":"W1986447636","doi":"10.1186/1471-2202-8-s2-s11","title":"The study of nonlocal neural populations involving two neuron types and the effect of propofol","year":2007,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Inhibitory postsynaptic potential; Excitatory postsynaptic potential; Neuroscience; Multistability; Propofol; Population; Neuron; Biology; Physics; Medicine; Pharmacology","score_opus":0.039477784446191766,"score_gpt":0.3084083989129585,"score_spread":0.26893061446676675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986447636","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99749947,0.000028776545,0.00044484783,0.000113655704,0.00085631514,0.00091112027,0.00000186098,0.00002389029,0.00012007413],"genre_scores_gemma":[0.99974763,0.000008098605,0.000010101394,0.000114720446,0.00002934208,0.000011926782,9.895596e-8,0.000009635636,0.00006841652],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998072,0.00049238175,0.0003398986,0.00037156758,0.00046595946,0.000258185],"domain_scores_gemma":[0.9973941,0.0019486181,0.00022169699,0.00035341355,0.0000328366,0.000049376722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011475064,0.00013011908,0.00016983917,0.00006858892,0.0006675867,0.00007134329,0.00042967658,0.000017241598,6.352865e-7],"category_scores_gemma":[0.0023146009,0.000064741405,0.000052316598,0.0006462684,0.00088893366,0.0001705143,0.00020291997,0.00017192017,5.911681e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092723663,0.00017603739,0.11294463,0.00004324477,0.0000012011303,0.000012097367,0.00035770863,0.0038411443,0.8606258,0.011247739,0.0000111292375,0.009812035],"study_design_scores_gemma":[0.0035015424,0.0038106316,0.3829249,0.000019428418,0.000053177853,0.00008496751,0.00019823675,0.5143875,0.09433419,0.0003535696,0.00010125709,0.00023059096],"about_ca_topic_score_codex":0.00009039796,"about_ca_topic_score_gemma":0.0002906194,"teacher_disagreement_score":0.7662916,"about_ca_system_score_codex":0.000007716104,"about_ca_system_score_gemma":0.000014037695,"threshold_uncertainty_score":0.51346046},"labels":[],"label_agreement":null},{"id":"W1986493866","doi":"10.1016/j.brainres.2009.10.053","title":"Postnatal development of neuronal responses to frequency-modulated tones in chinchilla auditory cortex","year":2009,"lang":"en","type":"article","venue":"Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Chinchilla; Auditory cortex; Receptive field; Neuroscience; Inferior colliculus; Stimulation; Electrophysiology; Biology; Psychology; Audiology; Medicine; Anatomy","score_opus":0.07254446314567965,"score_gpt":0.3728951317401724,"score_spread":0.3003506685944928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986493866","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99296635,0.00001144705,0.000023358407,0.0050461497,0.00024128919,0.00040723445,0.00001695079,0.000035666213,0.0012515261],"genre_scores_gemma":[0.99731046,0.000004958289,0.00034136526,0.00080657983,0.00007110458,0.000013425672,0.0000061848705,0.000013768149,0.0014321647],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9971615,0.00053369754,0.0003631952,0.0005198186,0.00091692706,0.00050483405],"domain_scores_gemma":[0.9985508,0.0008664511,0.000047880712,0.00028381488,0.00010702854,0.00014402285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011935643,0.00013085314,0.00016875238,0.00068375457,0.00018897741,0.00004344579,0.00040798206,0.00007140841,0.00006347689],"category_scores_gemma":[0.003006596,0.000120524346,0.000037602178,0.0011202083,0.00011520962,0.00011962028,0.00013684215,0.0003880968,0.0000659449],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030042257,0.0001352009,0.00048161682,0.000008888623,0.0000012431482,0.000100317,0.00031084064,0.00003153942,0.9868147,0.0009878314,0.0010542503,0.009773152],"study_design_scores_gemma":[0.00034666926,0.00051373325,0.87071455,0.00004383578,4.312745e-7,0.000025443649,0.00003489919,0.00058926863,0.12508056,0.0009795337,0.0015157552,0.00015531994],"about_ca_topic_score_codex":0.000051197396,"about_ca_topic_score_gemma":0.000076122305,"teacher_disagreement_score":0.87023294,"about_ca_system_score_codex":0.000109957015,"about_ca_system_score_gemma":0.00032603226,"threshold_uncertainty_score":0.49148405},"labels":[],"label_agreement":null},{"id":"W1986532957","doi":"10.1038/nprot.2014.119","title":"Activation and measurement of free whisking in the lightly anesthetized rodent","year":2014,"lang":"en","type":"article","venue":"Nature Protocols","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Neurological Disorders and Stroke; Canadian Institutes of Health Research","keywords":"Whisking in animals; Neuroscience; Rhythm; Neurochemical; Central pattern generator; Biology; Sensory system; Medicine; Internal medicine","score_opus":0.03173388504699768,"score_gpt":0.28919537185507843,"score_spread":0.25746148680808073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986532957","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8729572,0.000017791372,0.0010512737,0.008892719,0.00016856004,0.111865215,0.0000033701247,0.000067001645,0.0049768584],"genre_scores_gemma":[0.9879364,7.150268e-7,0.0000621329,0.0007918309,0.000035953617,0.011153956,3.0504472e-7,0.00000554751,0.000013179188],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989272,0.00019413725,0.00014010251,0.00019037143,0.00045059744,0.00009763156],"domain_scores_gemma":[0.99949414,0.00011309877,0.00010332887,0.00022913166,0.0000461156,0.000014173581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007480846,0.00007375934,0.00009295122,0.00005454635,0.000055842942,0.00003956606,0.00020607063,0.000087275635,0.0000023428495],"category_scores_gemma":[0.00079569605,0.000045318142,0.000021893713,0.00018209266,0.000025905814,0.00009284017,0.000033424338,0.000281706,6.191542e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011770887,0.000083902305,0.0010647958,0.00005649438,8.6462774e-7,0.0000010373479,0.00016444392,0.000021126394,0.9772728,0.013040702,0.00016477128,0.008011327],"study_design_scores_gemma":[0.0019481324,0.00039982883,0.03666647,0.00029920734,0.000004668678,0.000016928338,0.000018904984,0.0033990955,0.91930485,0.01454864,0.023225127,0.0001681625],"about_ca_topic_score_codex":0.00000831874,"about_ca_topic_score_gemma":0.000020276217,"teacher_disagreement_score":0.11497916,"about_ca_system_score_codex":0.000022697019,"about_ca_system_score_gemma":0.000011200147,"threshold_uncertainty_score":0.18480203},"labels":[],"label_agreement":null},{"id":"W1986602229","doi":"10.1016/s0301-0511(00)00079-x","title":"A new stage and cognitive–energetical theory: A reply to Smulders and van der Molen (2000)","year":2001,"lang":"en","type":"article","venue":"Biological Psychology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Stage (stratigraphy); Psychology; Cognition; Neuroscience; Geology","score_opus":0.06686916544804698,"score_gpt":0.33862717926881436,"score_spread":0.27175801382076736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986602229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9761238,0.00009816662,0.011765484,0.0061333166,0.0002186111,0.0002279389,0.000011390608,0.0000708545,0.0053504035],"genre_scores_gemma":[0.95481086,0.00015320365,0.00028365833,0.04251656,0.000076448094,0.000011570076,0.0000025933603,0.000009053916,0.0021360344],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984979,0.0002588281,0.00015213413,0.0007037264,0.00006654707,0.00032085422],"domain_scores_gemma":[0.9991693,0.0003957398,0.00003502216,0.00013818879,0.000016498274,0.0002452688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017852883,0.00014547814,0.00017271421,0.00006173934,0.00008891554,0.000031496682,0.00010010576,0.00013693392,0.0003894769],"category_scores_gemma":[0.0008901096,0.00010042829,0.000028721066,0.00017358374,0.00025464085,0.000041659507,0.00009515145,0.00015612078,0.000053606997],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002884335,0.00025162988,0.017188046,0.0000061153364,0.000021510674,0.00036672546,0.00017987817,0.0000044478475,0.58821267,0.08221716,0.0038173278,0.30485013],"study_design_scores_gemma":[0.0048822607,0.0079409005,0.47033432,0.000040613795,0.00005967148,0.0013567902,0.0001583659,0.0005022917,0.0040600933,0.1850872,0.32432863,0.0012488598],"about_ca_topic_score_codex":0.0000096012,"about_ca_topic_score_gemma":0.0000024502142,"teacher_disagreement_score":0.5841526,"about_ca_system_score_codex":0.000007334088,"about_ca_system_score_gemma":0.000010128353,"threshold_uncertainty_score":0.4264499},"labels":[],"label_agreement":null},{"id":"W1986689598","doi":"10.1016/j.cub.2014.07.015","title":"Clonal Relationships Impact Neuronal Tuning within a Phylogenetically Ancient Vertebrate Brain Structure","year":2014,"lang":"en","type":"article","venue":"Current Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Biotechnology and Biological Sciences Research Council; Wellcome Trust","keywords":"Biology; Neuroscience; Neocortex; Lineage (genetic); Calcium imaging; Sensory system; Vertebrate; Genetics; Gene","score_opus":0.050829994122235045,"score_gpt":0.304101793256478,"score_spread":0.25327179913424297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986689598","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931614,0.000042970896,0.0036137216,0.0007067211,0.00203891,0.00014209395,0.00007912552,0.000060004397,0.00015505379],"genre_scores_gemma":[0.9984859,0.0000057500447,0.000098305245,0.0010585785,0.00023729699,0.0000056034214,0.000062462364,0.000014299234,0.000031763266],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99815667,0.00057991757,0.000253489,0.00051840965,0.0001330003,0.00035854257],"domain_scores_gemma":[0.9990164,0.00046391453,0.00012741513,0.00021533844,0.000036377038,0.00014056887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025998143,0.00018497492,0.00016617046,0.00010141226,0.0002484474,0.000041799532,0.0002186441,0.000101771584,0.00009566974],"category_scores_gemma":[0.0014648439,0.00013919614,0.000084578736,0.00024415765,0.0001910332,0.000063571664,0.0000918091,0.0005012326,0.00004867079],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043115164,0.000039463346,0.021931194,0.0000072434186,0.000003114589,0.0000010592289,0.000045379293,0.00077258085,0.9289522,0.037764847,0.0005963209,0.009843457],"study_design_scores_gemma":[0.001611767,0.0017272992,0.37855658,0.00004343257,0.00003187899,0.00016890769,0.000009696751,0.50050163,0.02956206,0.057328545,0.029567858,0.00089036796],"about_ca_topic_score_codex":0.000002191341,"about_ca_topic_score_gemma":0.000010148724,"teacher_disagreement_score":0.89939016,"about_ca_system_score_codex":0.0000377532,"about_ca_system_score_gemma":0.000057849516,"threshold_uncertainty_score":0.5676254},"labels":[],"label_agreement":null},{"id":"W1986752473","doi":"10.1088/1741-2560/9/5/056004","title":"Markers of pathological excitability derived from principal dynamic modes of hippocampal neurons","year":2012,"lang":"en","type":"article","venue":"Journal of Neural Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; University of Toronto","funders":"Canadian Institutes of Health Research; Oak Ridge Associated Universities; Jet Propulsion Laboratory; National Aeronautics and Space Administration","keywords":"Epileptogenesis; Hippocampal formation; Neuroscience; Ripple; Epilepsy; Excitatory postsynaptic potential; Hippocampus; Pathological; Chemistry; Biophysics; Biology; Physics; Medicine; Internal medicine; Inhibitory postsynaptic potential","score_opus":0.026422637957248505,"score_gpt":0.24560966360202424,"score_spread":0.21918702564477574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986752473","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996714,0.00007247395,0.0022543378,0.00007706457,0.0007368433,0.00008018658,0.000020591031,0.000017461749,0.000027015985],"genre_scores_gemma":[0.998918,0.000028512195,0.0009153173,0.00003440332,0.00008116339,0.000001136377,7.657453e-7,0.000015698246,0.0000050182075],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986133,0.00009679072,0.00057549734,0.00014006841,0.00031246574,0.0002618865],"domain_scores_gemma":[0.9988323,0.0004499727,0.0003650252,0.0001584076,0.00005729861,0.00013703942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025073325,0.00015099016,0.00033559639,0.000114115435,0.000026271637,0.000010475264,0.00022339074,0.000065167216,0.000025000063],"category_scores_gemma":[0.000851492,0.00011935977,0.00020039157,0.00017034296,0.000072325456,0.00035073154,0.00007443458,0.00033248976,6.8924174e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014345328,0.0000902302,0.003134261,0.000029685263,0.000006934808,0.00001731563,0.00005668994,0.026232623,0.96908855,0.00006702334,0.0000013795486,0.0011318458],"study_design_scores_gemma":[0.000577862,0.00056322647,0.51089764,0.000056452638,0.000043527616,0.00022923056,0.000048005855,0.33931598,0.14790604,0.00014160204,0.000023410765,0.00019701269],"about_ca_topic_score_codex":0.0000043254395,"about_ca_topic_score_gemma":5.187253e-7,"teacher_disagreement_score":0.82118255,"about_ca_system_score_codex":0.000041434905,"about_ca_system_score_gemma":0.000015618625,"threshold_uncertainty_score":0.48673505},"labels":[],"label_agreement":null},{"id":"W1986951811","doi":"10.1016/j.neuroimage.2012.05.018","title":"Single-trial EEG–fMRI coupling of the emotional auditory early posterior negativity","year":2012,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Electroencephalography; Psychology; Categorization; Posterior parietal cortex; Functional magnetic resonance imaging; Cognitive psychology; Audiology; Neuroscience; Computer science; Artificial intelligence; Medicine","score_opus":0.04270170861253243,"score_gpt":0.2567414653753986,"score_spread":0.21403975676286618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986951811","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99251324,0.0000045277047,0.000052191954,0.0004296538,0.0057621226,0.00029895632,0.000025739495,0.000044670604,0.00086889934],"genre_scores_gemma":[0.99834543,0.0000013877523,0.000020590303,0.00050555496,0.0006270807,0.000005180267,8.378875e-7,0.000019376992,0.00047452934],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99877685,0.00009620668,0.00021311085,0.00024871316,0.00039391505,0.00027120096],"domain_scores_gemma":[0.99909234,0.00031753318,0.00018244512,0.00030557724,0.000035022247,0.00006710003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017211,0.00012477154,0.00012730161,0.000041980056,0.00019146933,0.000046705783,0.00023522011,0.000047810863,0.000050980034],"category_scores_gemma":[0.0006333637,0.00009284348,0.000120024364,0.00021099657,0.00016941116,0.00038100284,0.00015382338,0.00023136917,0.000036141588],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036025414,0.00016216542,0.0016889473,0.000008884108,0.0000010915093,0.0000019441675,0.000039633956,0.00002463524,0.9967625,0.00025068832,0.00024376137,0.0004554649],"study_design_scores_gemma":[0.004820665,0.00056185754,0.5276081,0.000034403743,0.000024474506,0.00006338353,0.0000082078195,0.0028343778,0.4613967,0.00026241818,0.0021075453,0.00027787618],"about_ca_topic_score_codex":0.000008949568,"about_ca_topic_score_gemma":0.0000015562177,"teacher_disagreement_score":0.5353658,"about_ca_system_score_codex":0.000027228054,"about_ca_system_score_gemma":0.000024497347,"threshold_uncertainty_score":0.37860474},"labels":[],"label_agreement":null},{"id":"W1987023182","doi":"10.1186/1471-2202-15-s1-p222","title":"Local and long-range phase-amplitude coupling in a cortical spiking network model","year":2014,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Bursting; Coupling (piping); Neocortex; Population; Neuroscience; Physics; Interneuron; Oscillation (cell signaling); Limit cycle; Spiking neural network; Synchronization (alternating current); Biological neural network; Amplitude; Biological system; Computer science; Artificial neural network; Artificial intelligence; Biology; Inhibitory postsynaptic potential; Telecommunications; Materials science","score_opus":0.06082203569669688,"score_gpt":0.29852077377968855,"score_spread":0.2376987380829917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987023182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6203582,0.0000085531,0.3789137,0.000072502335,0.00032011658,0.00014637152,0.0000017432122,0.00005439222,0.0001244295],"genre_scores_gemma":[0.99737495,0.000019258756,0.00036400824,0.0020765834,0.000058314832,0.000014774194,4.1474777e-7,0.00001828417,0.00007343473],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99782604,0.00008788151,0.00028580645,0.0008400089,0.00038082086,0.00057946355],"domain_scores_gemma":[0.999035,0.00043875613,0.0000798066,0.00026353227,0.000016009531,0.00016692429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052159536,0.00017875798,0.00019489737,0.0000871879,0.0003101612,0.00016933508,0.00030020592,0.000054658536,0.0000030045455],"category_scores_gemma":[0.0008810763,0.0001648527,0.000040321367,0.0005652216,0.00042846132,0.00030665245,0.00018034394,0.00030479202,0.0000062609433],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009810581,0.00018357394,0.031018049,0.000034516284,1.6908257e-7,0.00003639795,0.000037879207,0.6181193,0.33229968,0.01653287,0.00002415233,0.0016153213],"study_design_scores_gemma":[0.00057039765,0.00015723762,0.021358993,0.000026148113,0.0000032486785,0.00003863491,0.0000030026517,0.97513604,0.0011873776,0.0012544349,0.00008392047,0.00018055459],"about_ca_topic_score_codex":0.000007805248,"about_ca_topic_score_gemma":0.000052816726,"teacher_disagreement_score":0.37854967,"about_ca_system_score_codex":0.00003019195,"about_ca_system_score_gemma":0.000040050287,"threshold_uncertainty_score":0.6722498},"labels":[],"label_agreement":null},{"id":"W1987109786","doi":"10.1186/1471-2202-15-s1-a3","title":"Balancing and tight coupling: an approach to determine dynamic mechanisms of biological brain networks","year":2014,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Western Hospital","funders":"","keywords":"Neuroscience; Computer science; Sophistication; Mechanism (biology); Hippocampus; Cognitive science; Biological network; Psychology; Biology; Bioinformatics; Physics","score_opus":0.04966725507010876,"score_gpt":0.26311009869704516,"score_spread":0.21344284362693638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987109786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6109236,0.0000018820314,0.3883107,0.000064837186,0.00032657178,0.00017842485,0.0000033102885,0.00005413374,0.00013653311],"genre_scores_gemma":[0.99500895,0.000005362769,0.0023697256,0.0024447702,0.00003280482,0.000013425006,0.0000015842102,0.000014937217,0.000108417895],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99809885,0.00012612926,0.0002543536,0.0008760465,0.00026712497,0.00037748757],"domain_scores_gemma":[0.998951,0.00035433823,0.00011716228,0.0003402188,0.00002390144,0.00021333186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005168247,0.000176792,0.00021526516,0.00010759767,0.00021251712,0.00008582049,0.0004309317,0.00006703386,0.0000019382392],"category_scores_gemma":[0.0011687486,0.00013993657,0.00003944452,0.0005145715,0.00022294282,0.00020003221,0.00020045985,0.00013941294,0.0000018257193],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020168496,0.00006156109,0.00059384684,0.00000991877,9.249459e-8,0.0000014651156,0.0000135832315,0.011952939,0.97778744,0.008574474,0.0000049986543,0.0009795183],"study_design_scores_gemma":[0.00015681573,0.0005188175,0.013599161,0.0000084332705,0.0000021123526,0.000051166113,0.00000643831,0.95683104,0.027748814,0.0008225353,0.000085978005,0.00016867176],"about_ca_topic_score_codex":0.0000036622414,"about_ca_topic_score_gemma":0.000004826812,"teacher_disagreement_score":0.9500386,"about_ca_system_score_codex":0.0000135823075,"about_ca_system_score_gemma":0.000016743275,"threshold_uncertainty_score":0.5706448},"labels":[],"label_agreement":null},{"id":"W1987415819","doi":"10.1007/s11063-006-6266-3","title":"Computing Information in Neuronal Spikes","year":2006,"lang":"en","type":"article","venue":"Neural Processing Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Movement Disorders","funders":"","keywords":"Information transfer; Millisecond; SIGNAL (programming language); Spike (software development); Computer science; Computational intelligence; Domain (mathematical analysis); Mutual information; Hodgkin–Huxley model; Biological system; Transfer function; Time domain; Complex system; Artificial intelligence; Physics; Neuroscience; Mathematics; Telecommunications; Biology","score_opus":0.01385854103457689,"score_gpt":0.2265345726039512,"score_spread":0.2126760315693743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987415819","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99277824,0.0000044122544,0.0013297232,0.004594307,0.0003304501,0.00010325545,0.0000012821307,0.000118918884,0.00073940813],"genre_scores_gemma":[0.9875222,4.426841e-7,0.00010646772,0.012199716,0.00012581826,0.000002581219,0.0000069176167,0.000009291261,0.000026595757],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897754,0.0000434763,0.0002617126,0.00020910434,0.00023072056,0.00027742895],"domain_scores_gemma":[0.99971217,0.00005991176,0.00011671263,0.000073096504,0.000013263069,0.000024846791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007200036,0.00011955703,0.00009756778,0.00014255788,0.0001560439,0.00021166696,0.00012911801,0.000029203797,0.000004003454],"category_scores_gemma":[0.00007106918,0.00011044818,0.000031394226,0.00032877811,0.000060158956,0.0009974842,0.00003527525,0.00020513973,0.000017111292],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021387455,0.000023510467,0.0027630923,0.00004543346,1.4343134e-7,0.00001958246,0.00011433603,0.027777042,0.9166472,0.00029633963,0.0005196698,0.05177228],"study_design_scores_gemma":[0.0009292516,0.00006741799,0.08838085,0.00007504751,0.000005168403,0.00010497048,0.00003419018,0.8568026,0.048650347,0.0006985829,0.0037583369,0.0004932798],"about_ca_topic_score_codex":0.000039378163,"about_ca_topic_score_gemma":0.0000065538575,"teacher_disagreement_score":0.8679968,"about_ca_system_score_codex":0.000034778473,"about_ca_system_score_gemma":0.000013833166,"threshold_uncertainty_score":0.45039457},"labels":[],"label_agreement":null},{"id":"W1987439222","doi":"10.1140/epjst/e2014-02311-y","title":"Periodic solutions to a mean-field model for electrocortical activity","year":2014,"lang":"en","type":"article","venue":"The European Physical Journal Special Topics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Mathematical analysis; Hopf bifurcation; Mathematics; Sigmoid function; Quadratic equation; Equivariant map; Bifurcation; Physics; Square (algebra); Pure mathematics; Nonlinear system; Computer science; Geometry; Quantum mechanics","score_opus":0.042262379859862774,"score_gpt":0.27665285982003324,"score_spread":0.23439047996017046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987439222","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57859856,0.0000020258133,0.25202024,0.019405475,0.0014176073,0.00055821193,0.000010499462,0.00009233461,0.14789507],"genre_scores_gemma":[0.9498005,0.0000052015566,0.00014911192,0.00237258,0.046438053,0.000004225044,2.5325582e-7,0.000022475215,0.0012076193],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987608,0.0002882051,0.0001435002,0.00021001206,0.00024139947,0.00035604538],"domain_scores_gemma":[0.9992983,0.0002515925,0.00006604338,0.00018452875,0.000041675125,0.00015786408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033070607,0.000119308264,0.00013600956,0.000029011424,0.0007049155,0.0001697463,0.00034325506,0.000017652732,0.00000666597],"category_scores_gemma":[0.0006182747,0.00007899121,0.00016843129,0.00013030106,0.00005256937,0.00011193262,0.00010929612,0.00040616046,0.00006393022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017328514,0.0001755148,0.0000016737719,0.0000033781687,0.0000052247105,0.000004756881,0.0004947705,0.0018317165,0.2702901,0.05901613,0.0048873876,0.66311604],"study_design_scores_gemma":[0.00090185995,0.0017911951,0.00082513766,0.00002210777,0.00007014556,0.00011204955,0.000021328497,0.68734425,0.029761845,0.14688255,0.1317564,0.0005111503],"about_ca_topic_score_codex":8.6041234e-7,"about_ca_topic_score_gemma":0.0000063375514,"teacher_disagreement_score":0.6855125,"about_ca_system_score_codex":0.000043957632,"about_ca_system_score_gemma":0.000023325803,"threshold_uncertainty_score":0.5421711},"labels":[],"label_agreement":null},{"id":"W1987627924","doi":"10.1007/s11063-006-9029-2","title":"Neuronal spatial learning","year":2006,"lang":"en","type":"article","venue":"Neural Processing Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Movement Disorders","funders":"","keywords":"Premovement neuronal activity; Neuroscience; Spatial learning; Context (archaeology); Biological neural network; Computer science; SIGNAL (programming language); Artificial intelligence; Cognition; Psychology; Biology","score_opus":0.015299350777914493,"score_gpt":0.22503097507254302,"score_spread":0.20973162429462852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987627924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898456,0.000008527489,0.0020980265,0.0057690674,0.00051518605,0.000086473294,0.0000013634733,0.00027690048,0.0013988964],"genre_scores_gemma":[0.991027,8.5943446e-7,0.000055734326,0.0078012757,0.0004995608,0.0000063943776,0.0000057827883,0.00002935345,0.000574071],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99860746,0.000084337684,0.00019136172,0.0004390594,0.00031711336,0.00036066747],"domain_scores_gemma":[0.9996584,0.00007602157,0.00011105573,0.0000921363,0.000015897154,0.000046474273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000057036177,0.00016256746,0.00011753192,0.00007861169,0.00039402343,0.00020970256,0.00016153276,0.000036371875,0.000029792622],"category_scores_gemma":[0.00009949725,0.00014677974,0.000060940838,0.00022227783,0.00010501606,0.0003161175,0.000044675093,0.00035256994,0.000042110194],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019840323,0.00001719585,0.000887501,0.000013767335,2.9509854e-7,0.000035854155,0.00001899393,0.0059519685,0.9600896,0.00008254942,0.00055182073,0.0323306],"study_design_scores_gemma":[0.0013500976,0.0002882352,0.04635909,0.00006086901,0.000030357063,0.0003473659,0.000022556844,0.56053585,0.3635354,0.0011625411,0.025164627,0.0011430479],"about_ca_topic_score_codex":0.000070077775,"about_ca_topic_score_gemma":0.0000073656147,"teacher_disagreement_score":0.5965542,"about_ca_system_score_codex":0.000025885589,"about_ca_system_score_gemma":0.000015692041,"threshold_uncertainty_score":0.5985504},"labels":[],"label_agreement":null},{"id":"W1987810063","doi":"10.1523/jneurosci.3702-08.2009","title":"Broadband Coding with Dynamic Synapses","year":2009,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Postsynaptic potential; Neurotransmission; Neuroscience; Synaptic plasticity; Spike train; Neural facilitation; Computer science; Inhibitory postsynaptic potential; Excitatory postsynaptic potential; Spike (software development); Biology; Receptor","score_opus":0.024051067157703682,"score_gpt":0.26626169866115995,"score_spread":0.24221063150345626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987810063","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992955,0.000017466376,0.0035457031,0.0019355682,0.000691514,0.00007216146,0.0000018023054,0.000023367613,0.00075735996],"genre_scores_gemma":[0.9960285,0.00010394228,0.00015636432,0.0033686622,0.000045478424,2.7572932e-7,4.4462386e-8,0.000006648957,0.0002901239],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986362,0.000059941864,0.00027352135,0.00024598112,0.00053263357,0.00025172206],"domain_scores_gemma":[0.9992072,0.00011834446,0.00034086825,0.00014243565,0.000067253946,0.0001238944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019393874,0.000119229015,0.00016601049,0.00017146512,0.00019824845,0.00014518233,0.00039675165,0.000024225956,0.0000053690906],"category_scores_gemma":[0.00052274094,0.00007900337,0.00006189907,0.00056535105,0.00015440417,0.0006552257,0.000021320273,0.00025557217,0.000003095519],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064978056,0.000059158127,0.00010606746,0.0000023728019,2.823285e-7,0.00024284035,0.00002116246,0.0004841092,0.99450487,0.0006356845,0.000072272305,0.0038062097],"study_design_scores_gemma":[0.0035786915,0.018779235,0.28782248,0.00044590968,0.000084235835,0.03066668,0.00010998618,0.092768595,0.5455764,0.0071344557,0.011738375,0.0012949626],"about_ca_topic_score_codex":4.7129168e-7,"about_ca_topic_score_gemma":7.339263e-7,"teacher_disagreement_score":0.44892848,"about_ca_system_score_codex":0.0000338393,"about_ca_system_score_gemma":0.00006122132,"threshold_uncertainty_score":0.32216638},"labels":[],"label_agreement":null},{"id":"W1988117639","doi":"10.1016/s0896-6273(01)00206-9","title":"Keeping the Wires Short","year":2001,"lang":"en","type":"letter","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Argument (complex analysis); Neuroscience; Function (biology); Computer science; Connection (principal bundle); Brain size; Biology; Physics; Mathematics; Geometry; Evolutionary biology; Medicine","score_opus":0.04728885419279937,"score_gpt":0.2554727320859894,"score_spread":0.20818387789319004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988117639","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026114224,0.000025655752,0.00004474049,0.94592845,0.004387502,0.00042981975,0.00002164247,0.00022433393,0.022823613],"genre_scores_gemma":[0.023732178,0.00014587528,0.0000022552952,0.96251935,0.0042473017,0.000023066583,0.000018477514,0.00006634906,0.009245173],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981545,0.0001992503,0.00019359899,0.00060867786,0.00044981492,0.00039415254],"domain_scores_gemma":[0.9989056,0.00043348572,0.0000768532,0.0005424142,0.000015205909,0.000026453248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007028853,0.00024766507,0.00017376637,0.00007393538,0.00026667013,0.00015767947,0.00053380564,0.00024232826,0.00008079423],"category_scores_gemma":[0.00019084275,0.00016778673,0.00013331081,0.00021566797,0.00010770953,0.00008984577,0.00011757789,0.0017657955,0.0001612526],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000051315023,0.0000070548167,0.00001862494,0.00001723748,0.000001679725,0.00062803226,0.000008743943,0.000020502524,0.026692998,0.000051093397,0.9641653,0.008383626],"study_design_scores_gemma":[0.00003851282,0.000061681596,0.00019828,0.00001667063,0.000014303399,0.0001539751,0.0000010723658,0.0009758854,0.0019255427,0.00024967603,0.99618125,0.00018313107],"about_ca_topic_score_codex":0.000023973242,"about_ca_topic_score_gemma":0.0000058334776,"teacher_disagreement_score":0.032015994,"about_ca_system_score_codex":0.00003012265,"about_ca_system_score_gemma":0.000019069126,"threshold_uncertainty_score":0.7671601},"labels":[],"label_agreement":null},{"id":"W1988170159","doi":"10.1016/j.biopsycho.2009.11.010","title":"Frontal brain oscillations and social anxiety: A cross-frequency spectral analysis during baseline and speech anticipation","year":2009,"lang":"en","type":"article","venue":"Biological Psychology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":91,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; St. Joseph’s Healthcare Hamilton; McMaster University","funders":"","keywords":"Anticipation (artificial intelligence); Psychology; Electroencephalography; Anxiety; Audiology; Context (archaeology); Social anxiety; Brain activity and meditation; Developmental psychology; Neural correlates of consciousness; Cognitive psychology; Cognition; Neuroscience; Medicine","score_opus":0.052198554869246946,"score_gpt":0.35478399782699255,"score_spread":0.3025854429577456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988170159","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926161,0.000025494799,0.00076311466,0.0055034966,0.00012183546,0.00012774936,0.00003433461,0.00006970277,0.0007381389],"genre_scores_gemma":[0.9961948,0.000077660305,0.0003192269,0.003150571,0.0001509713,0.0000030312362,0.000026426873,0.000003904198,0.00007345175],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986603,0.00018775972,0.00022934054,0.00058104476,0.000081957136,0.00025959715],"domain_scores_gemma":[0.99962276,0.00010824863,0.00008140221,0.00010877706,0.00001955756,0.000059275426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021176552,0.00013200611,0.00021126411,0.00013221847,0.00029358512,0.000051842457,0.00007848608,0.00016712215,0.000093245704],"category_scores_gemma":[0.00025505832,0.00010369862,0.00007424722,0.0003655267,0.00023599164,0.00009447428,0.000027558044,0.00015556856,0.0000068603163],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000101599086,0.00008414054,0.12629318,0.0000019216375,0.00001081908,0.00001710811,0.000047331196,0.0000052177716,0.8643475,0.003289516,0.000046087767,0.005755538],"study_design_scores_gemma":[0.0004696099,0.00026618244,0.9909184,8.203087e-7,0.000021287722,0.00006811578,0.0000052025707,0.0011232835,0.000846249,0.0060257306,0.00012070053,0.00013440932],"about_ca_topic_score_codex":0.000009344421,"about_ca_topic_score_gemma":0.000014841654,"teacher_disagreement_score":0.8646252,"about_ca_system_score_codex":0.000017164019,"about_ca_system_score_gemma":0.0000040378727,"threshold_uncertainty_score":0.4228707},"labels":[],"label_agreement":null},{"id":"W1988670877","doi":"10.1016/j.ics.2006.12.099","title":"Phase dynamics in the 40-Hz auditory steady state response","year":2007,"lang":"en","type":"article","venue":"International Congress Series","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Percept; Amplitude; Stimulus (psychology); Carrier signal; Steady state (chemistry); Physics; Phase (matter); Audiology; Mathematics; Acoustics; Materials science; Psychology; Chemistry; Perception; Computer science; Optics; Telecommunications; Medicine; Neuroscience","score_opus":0.025882229231138157,"score_gpt":0.3128839553193878,"score_spread":0.28700172608824964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988670877","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98670155,0.000007875286,0.00031598296,0.0034859297,0.0053342376,0.00015821334,0.00012078432,0.0000439834,0.003831445],"genre_scores_gemma":[0.9916814,0.000019342015,0.000022633187,0.0011449789,0.00015623002,0.000012722938,0.000016980246,0.000011908984,0.0069338055],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99867976,0.00017680787,0.00025424414,0.000246921,0.00043563824,0.00020661828],"domain_scores_gemma":[0.99881196,0.00079771405,0.00011064559,0.00017251163,0.00007327247,0.000033903674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007810683,0.000115873736,0.00008492226,0.00015966973,0.00010761252,0.00014058608,0.00043842293,0.000036583133,0.000052331834],"category_scores_gemma":[0.00071795814,0.00008785804,0.000041600906,0.00017602694,0.00017193743,0.0004374401,0.00006575179,0.00020854844,0.000033747092],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.053704448,0.0024001813,0.0064348225,0.000045998462,0.00006358415,0.0041203895,0.0047882632,0.0009405779,0.6464344,0.23028086,0.013850239,0.03693622],"study_design_scores_gemma":[0.01249166,0.0035272355,0.0664511,0.00022367382,0.000031772797,0.0012470221,0.0075570657,0.08792585,0.15642576,0.038641583,0.6236551,0.0018222011],"about_ca_topic_score_codex":0.000024212535,"about_ca_topic_score_gemma":0.00052388094,"teacher_disagreement_score":0.6098048,"about_ca_system_score_codex":0.0001746138,"about_ca_system_score_gemma":0.000032476095,"threshold_uncertainty_score":0.3582747},"labels":[],"label_agreement":null},{"id":"W1988894764","doi":"10.1111/ejn.12654","title":"Architecture and morphology of the human ventromedial prefrontal cortex","year":2014,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":132,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research","keywords":"Ventromedial prefrontal cortex; Anatomy; Neuroscience; Corpus callosum; Prefrontal cortex; Cortex (anatomy); Macaque; Psychology; Cerebral cortex; Human brain; Biology; Cognition","score_opus":0.01824506640903258,"score_gpt":0.22975087738814823,"score_spread":0.21150581097911564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988894764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963961,0.0000064712,0.0007770642,0.000494442,0.0013063203,0.000059766608,0.0000034421178,0.000006220608,0.00095014664],"genre_scores_gemma":[0.9986499,0.000008683881,0.000046260317,0.0010141175,0.00014098504,1.2834793e-7,5.359601e-8,0.000010955058,0.00012894731],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99833393,0.0006546513,0.0003099263,0.00020757143,0.00032911808,0.0001648229],"domain_scores_gemma":[0.9991531,0.000105580875,0.00044033278,0.0001840573,0.0000309131,0.000086036955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048089793,0.00009408343,0.00013957582,0.000075914395,0.00017968573,0.000035603734,0.0005730492,0.0000112618345,0.0000046425766],"category_scores_gemma":[0.0008014168,0.000057822846,0.00007449354,0.0001917327,0.0006020152,0.000108763306,0.00017318003,0.00029866904,0.0000015289462],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000149410835,0.000027189959,0.00027741634,0.0000039377082,3.296115e-7,0.000037884703,0.0000676961,0.00008091697,0.99667805,0.0004696914,0.000030794137,0.0023111682],"study_design_scores_gemma":[0.0005321092,0.0011216062,0.95167124,0.000028373308,0.00001028589,0.0017167949,0.000006510535,0.0005857519,0.04011052,0.00050840963,0.0036169542,0.000091447175],"about_ca_topic_score_codex":6.4967537e-7,"about_ca_topic_score_gemma":5.033184e-7,"teacher_disagreement_score":0.9565675,"about_ca_system_score_codex":0.0000069412245,"about_ca_system_score_gemma":0.00001591497,"threshold_uncertainty_score":0.23579472},"labels":[],"label_agreement":null},{"id":"W1988913716","doi":"10.1371/journal.pcbi.1002038","title":"Neurobiologically Realistic Determinants of Self-Organized Criticality in Networks of Spiking Neurons","year":2011,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":286,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Health and Medical Research Council; Natural Sciences and Engineering Research Council of Canada; Commonwealth Scientific and Industrial Research Organisation; James S. McDonnell Foundation","keywords":"Neuroscience; Computer science; Self-organized criticality; Modular design; Hebbian theory; Spike-timing-dependent plasticity; Synaptic plasticity; Physics; Network dynamics; Criticality; Statistical physics; Artificial intelligence; Biology; Artificial neural network; Mathematics","score_opus":0.07250800477120274,"score_gpt":0.28044726581723917,"score_spread":0.20793926104603644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988913716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99679655,0.000004148405,0.0024157083,0.000045961613,0.00016125281,0.00014355469,0.00002938058,0.000033959986,0.000369469],"genre_scores_gemma":[0.99833244,0.000008063237,0.0012623364,0.00035560704,0.000016472195,0.000004598089,0.000011237987,0.000007245277,0.0000020152602],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986816,0.00032175283,0.0004397057,0.00030077258,0.00007164774,0.00018450215],"domain_scores_gemma":[0.9984818,0.0011346376,0.00016323598,0.000105830215,0.00007896588,0.000035539502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012538253,0.00009915722,0.00025808226,0.00008456041,0.00003330115,0.0000030471472,0.00017911351,0.00008119956,0.000036679816],"category_scores_gemma":[0.00094689475,0.00008388734,0.000043911747,0.00023060043,0.00020056791,0.00003697047,0.00008945137,0.00012610362,0.0000026169434],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004022441,0.0016799746,0.2753694,0.00011514586,0.000014816387,0.000072599265,0.00019745788,0.0069268495,0.5969377,0.11657632,0.000011914112,0.0016955638],"study_design_scores_gemma":[0.0005981004,0.00078588346,0.5858206,0.000028833745,0.000019022113,0.0000382235,0.000005409699,0.353186,0.015538234,0.043794937,0.0000059300182,0.00017876421],"about_ca_topic_score_codex":0.000024149896,"about_ca_topic_score_gemma":0.0000075157227,"teacher_disagreement_score":0.5813995,"about_ca_system_score_codex":0.000012290616,"about_ca_system_score_gemma":0.000028226625,"threshold_uncertainty_score":0.34208265},"labels":[],"label_agreement":null},{"id":"W1988914939","doi":"10.1016/s0378-5955(01)00241-6","title":"Spontaneous burst-firing in three auditory cortical fields: its relation to local field potentials and its effect on inter-area cross-correlations","year":2001,"lang":"en","type":"article","venue":"Hearing Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bursting; Burst suppression; Local field potential; Auditory cortex; Neuroscience; Electrophysiology; Physics; Electroencephalography; Psychology","score_opus":0.08972274556892798,"score_gpt":0.37610619415005275,"score_spread":0.28638344858112474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988914939","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941497,0.000024499623,0.0024772878,0.0010873046,0.0005068209,0.00050375896,0.0000015691753,0.000047127352,0.0012019759],"genre_scores_gemma":[0.99856794,0.000020300424,0.000009121413,0.00020604892,0.00014032453,0.00003594326,0.0000012613248,0.000015833992,0.0010032391],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9980949,0.00025075892,0.00023251258,0.00048689233,0.00048481763,0.0004501013],"domain_scores_gemma":[0.99664694,0.0029161838,0.000022953363,0.00020113327,0.0000678889,0.00014489856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009220125,0.0001149402,0.0001416508,0.0003310937,0.00036237648,0.00015891274,0.0001462188,0.00014816115,0.00008208459],"category_scores_gemma":[0.004560518,0.000107324144,0.000035857705,0.00045463987,0.00005374619,0.00018004833,0.00019073972,0.0009501399,0.00017324206],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004362447,0.00040612064,0.085089624,0.00024598677,0.000016420843,0.007256513,0.0006513467,0.040143993,0.7276354,0.011247599,0.000607029,0.122337505],"study_design_scores_gemma":[0.0013063503,0.0054130005,0.53782934,0.00070737116,0.000009047798,0.0010881283,0.000028117853,0.403222,0.04571862,0.0036092456,0.00056962424,0.0004991736],"about_ca_topic_score_codex":0.000081767415,"about_ca_topic_score_gemma":0.00025102883,"teacher_disagreement_score":0.6819168,"about_ca_system_score_codex":0.00013738299,"about_ca_system_score_gemma":0.000025880012,"threshold_uncertainty_score":0.54596955},"labels":[],"label_agreement":null},{"id":"W1988981158","doi":"10.1016/s0896-6273(03)00065-5","title":"Neuronal Plasticity in Thalamocortical Networks during Sleep and Waking Oscillations","year":2003,"lang":"en","type":"review","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":645,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Institute of Neurological Disorders and Stroke","keywords":"Neuroscience; Wakefulness; Neuroscience of sleep; Thalamus; Sleep (system call); Slow-wave sleep; Electroencephalography; Neuroplasticity; Rhythm; Bursting; Sleep spindle; Stimulation; Psychology; Physics","score_opus":0.04881916109824636,"score_gpt":0.2897305758639458,"score_spread":0.24091141476569944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988981158","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17020118,0.81231236,0.0006652022,0.00016338378,0.0065839957,0.0040874593,0.00009261614,0.00048418003,0.0054095946],"genre_scores_gemma":[0.027601687,0.9717876,0.000011616591,0.00017062831,0.00016872711,0.000041136194,0.000005811134,0.00006889946,0.00014391745],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976329,0.00035764015,0.0004940828,0.00083271356,0.00024238111,0.00044027835],"domain_scores_gemma":[0.99878603,0.0007088088,0.00018518508,0.00019701626,0.0000096536705,0.00011331453],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000065483364,0.00036231682,0.00065333815,0.00021482178,0.00019078462,0.00011008199,0.00016374234,0.00020063357,0.00002600939],"category_scores_gemma":[0.00040239844,0.00032042462,0.00014242144,0.00049140427,0.000091305155,0.00013070014,0.00014254558,0.00089181046,0.000014049115],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054003372,0.00031065245,0.0007057062,0.0067087086,0.00001686521,0.0008356877,0.000031818996,0.005021028,0.0015160342,0.007721569,0.00006535489,0.9770126],"study_design_scores_gemma":[0.0013326528,0.00044489224,0.014139456,0.004993906,0.0004939504,0.001939593,0.0000032489208,0.107140385,0.000068840855,0.00033337393,0.86681616,0.0022935232],"about_ca_topic_score_codex":0.0000026773498,"about_ca_topic_score_gemma":0.000008994053,"teacher_disagreement_score":0.97471905,"about_ca_system_score_codex":0.000064487016,"about_ca_system_score_gemma":0.00003386176,"threshold_uncertainty_score":0.9999248},"labels":[],"label_agreement":null},{"id":"W1989191535","doi":"10.3389/fnhum.2013.00575","title":"MEG studies of motor cortex gamma oscillations: evidence for a gamma “fingerprint” in the brain?","year":2013,"lang":"en","type":"article","venue":"Frontiers in Human Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":141,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mental Health Research Canada; Hospital for Sick Children","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Neuroscience; Motor cortex; Magnetoencephalography; Psychology; Cortex (anatomy); Electroencephalography; Stimulation","score_opus":0.13055766473702166,"score_gpt":0.35207116355452045,"score_spread":0.2215134988174988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989191535","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9880429,0.00017956347,0.0054041604,0.0025582043,0.0017674626,0.0018604404,0.00001041752,0.000036500027,0.00014033724],"genre_scores_gemma":[0.9959853,0.00014835192,0.00055856275,0.0023543227,0.000047870755,0.0003523388,4.8681943e-7,0.000015337842,0.00053740747],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99742836,0.0002835254,0.00055160956,0.00076418987,0.0005101063,0.0004622379],"domain_scores_gemma":[0.9977386,0.0013631854,0.00026009846,0.0004950962,0.00009087653,0.00005215813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084851525,0.0002031052,0.00030410785,0.00037445273,0.00032824237,0.0001272069,0.0009680714,0.000050941944,0.0000056593244],"category_scores_gemma":[0.0066784522,0.00015329025,0.0000965943,0.0010637485,0.00079030095,0.00075297686,0.00014299393,0.00022727427,0.0000014318521],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040919396,0.000120314995,0.016949883,0.000082793915,0.0000011113478,0.000010410945,0.0011868184,0.00089956395,0.97130495,0.003035739,0.004570478,0.001797032],"study_design_scores_gemma":[0.0018561592,0.0020395424,0.65437895,0.0006238529,0.000026759704,0.000048475835,0.002327522,0.2615478,0.022146434,0.050275438,0.0037176365,0.0010114197],"about_ca_topic_score_codex":0.00004919385,"about_ca_topic_score_gemma":0.000038094386,"teacher_disagreement_score":0.9491585,"about_ca_system_score_codex":0.00008584659,"about_ca_system_score_gemma":0.000046732253,"threshold_uncertainty_score":0.7995214},"labels":[],"label_agreement":null},{"id":"W1989196063","doi":"10.1016/s0378-5955(00)00170-2","title":"Neuronal responses in cat primary auditory cortex to natural and altered species-specific calls","year":2000,"lang":"en","type":"article","venue":"Hearing Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":107,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Auditory cortex; Neuroscience; Stimulus (psychology); Cortical neurons; Stimulation; Electrophysiology; Natural sounds; Biology; Psychology; Communication; Cognitive psychology","score_opus":0.11654595065998156,"score_gpt":0.34784293386614795,"score_spread":0.23129698320616637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989196063","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99468786,0.000044652723,0.000001300641,0.0014039602,0.00044920587,0.00038018887,0.000009989416,0.000036749927,0.0029860884],"genre_scores_gemma":[0.977045,0.00021730938,0.00004816434,0.00054291886,0.0003121422,0.000029800745,0.0000026533398,0.000020243557,0.021781746],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9975222,0.00042411953,0.00019179148,0.0006069412,0.0006908433,0.00056411186],"domain_scores_gemma":[0.99859315,0.0009136402,0.000013505579,0.00027724635,0.000039678915,0.00016278974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006859291,0.00011408552,0.00014341268,0.00034622056,0.0002511062,0.0001673649,0.00021904017,0.000048852908,0.00024769618],"category_scores_gemma":[0.00037308506,0.00010697165,0.00002750424,0.0005920051,0.00018880244,0.00015236583,0.00017959313,0.0005974015,0.00020610329],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000675292,0.000050390012,0.0014847551,0.000017375443,6.5695446e-7,0.00011422792,0.00011846718,0.000027367063,0.97335595,0.00016928025,0.0053112693,0.018674979],"study_design_scores_gemma":[0.00033881023,0.00022300593,0.9307304,0.000040047304,4.3738746e-7,0.000052631167,0.000017590026,0.0012098969,0.008415547,0.00013809322,0.05868707,0.00014648864],"about_ca_topic_score_codex":0.000108748165,"about_ca_topic_score_gemma":0.000059931364,"teacher_disagreement_score":0.96494037,"about_ca_system_score_codex":0.00018638879,"about_ca_system_score_gemma":0.00008275488,"threshold_uncertainty_score":0.43621773},"labels":[],"label_agreement":null},{"id":"W1989427023","doi":"10.3389/fphys.2012.00207","title":"The Blue-Collar Brain","year":2012,"lang":"en","type":"article","venue":"Frontiers in Physiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"MacEwan University","funders":"Aarhus Universitet; National Science Foundation","keywords":"Collar; Blue collar; Medicine; Business; Economics","score_opus":0.014315489957405598,"score_gpt":0.23845532213033152,"score_spread":0.22413983217292593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989427023","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9881563,0.00017681973,0.0006138614,0.002414929,0.006842499,0.00019122666,0.0000035696353,0.000036380152,0.0015643846],"genre_scores_gemma":[0.9955804,0.000085055945,0.00013035421,0.0027253868,0.00021494557,0.000023719973,0.0000016752655,0.000009979765,0.0012284877],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990545,0.00019385338,0.00011712555,0.0001792651,0.00007373264,0.00038154743],"domain_scores_gemma":[0.99946266,0.00024519317,0.0000467411,0.00019723042,0.000006253605,0.000041910098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017421132,0.00008140957,0.0001064756,0.00004256307,0.00016408846,0.000012816661,0.00020002003,0.000055253102,0.000009198083],"category_scores_gemma":[0.0003402256,0.00005398884,0.000038018352,0.0001990847,0.00015443454,0.00010784002,0.000058918817,0.00014632609,0.00003869993],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010162231,0.00007625539,0.0036703388,0.0000054572897,0.0000045110555,0.000002137883,0.00018363098,0.00010555111,0.84357893,0.020946868,0.118180744,0.013143957],"study_design_scores_gemma":[0.00092006195,0.00021924746,0.09876301,0.000009383077,0.000008179804,0.000022468113,0.00033995468,0.013131901,0.05553298,0.07300264,0.75759375,0.00045643296],"about_ca_topic_score_codex":0.0000041825674,"about_ca_topic_score_gemma":0.0000025450706,"teacher_disagreement_score":0.78804594,"about_ca_system_score_codex":0.00003416218,"about_ca_system_score_gemma":0.000010049297,"threshold_uncertainty_score":0.2201601},"labels":[],"label_agreement":null},{"id":"W1989701909","doi":"10.1523/jneurosci.2419-07.2007","title":"Efferent Association Pathways from the Rostral Prefrontal Cortex in the Macaque Monkey","year":2007,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":451,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Neuroscience; Superior temporal sulcus; Superior temporal gyrus; Efferent; Prefrontal cortex; Uncinate fasciculus; Temporal lobe; Psychology; Macaque; Limbic lobe; Anatomy; Gyrus; Biology; White matter; Fractional anisotropy; Cognition; Medicine; Functional magnetic resonance imaging","score_opus":0.03442916973637524,"score_gpt":0.25710785308482825,"score_spread":0.222678683348453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989701909","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951358,0.0000122349575,0.0004841193,0.0019686392,0.0019423185,0.00015534634,0.000014958731,0.000007895338,0.0002786934],"genre_scores_gemma":[0.9950976,0.000047031026,0.000016875376,0.004535356,0.00022408833,0.0000012320967,3.5208456e-7,0.000006460009,0.00007105615],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.997823,0.0002663594,0.0004300846,0.00022408065,0.0009393145,0.00031714965],"domain_scores_gemma":[0.99793375,0.0012667987,0.00051375397,0.00017739643,0.00004514637,0.00006314452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011409102,0.00011385255,0.00013252404,0.000066284745,0.00022188133,0.0001823215,0.0007885975,0.00004816665,0.000005287434],"category_scores_gemma":[0.0016197553,0.000058856367,0.00010003472,0.00044659743,0.00009161624,0.0003700444,0.000056504465,0.00059287564,0.0000047578496],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005090943,0.0000852774,0.011978772,8.7782763e-7,4.991448e-7,0.00011337285,0.00032175676,0.00006919584,0.98543245,0.00033843511,0.00023062366,0.0013778235],"study_design_scores_gemma":[0.00031588654,0.00029341283,0.96892226,0.000015723268,0.0000073278998,0.00014022503,0.00011430284,0.0022576351,0.025854118,0.0008493075,0.0011516169,0.0000782116],"about_ca_topic_score_codex":0.0000395729,"about_ca_topic_score_gemma":0.00008803366,"teacher_disagreement_score":0.95957834,"about_ca_system_score_codex":0.00013048947,"about_ca_system_score_gemma":0.000053222615,"threshold_uncertainty_score":0.25757825},"labels":[],"label_agreement":null},{"id":"W1989770747","doi":"10.1016/j.brainres.2008.12.068","title":"Predicting synchronous and asynchronous network groupings of hippocampal interneurons coupled with dendritic gap junctions","year":2009,"lang":"en","type":"article","venue":"Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Neuroscience; Gap junction; Hippocampal formation; Coupling (piping); Asynchronous communication; Physics; Nerve net; Electrical Synapses; Hippocampus; Modulation (music); Computer science; Topology (electrical circuits); Biology; Mathematics; Telecommunications; Materials science","score_opus":0.049239970837135875,"score_gpt":0.31875266626162685,"score_spread":0.26951269542449097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989770747","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925619,0.00007498372,0.0018778762,0.0024388428,0.00021612468,0.00053258915,0.000006974678,0.00009682007,0.0021939152],"genre_scores_gemma":[0.9984311,0.000051686053,0.00019276062,0.0005581842,0.00019902214,0.000024748882,0.0000039396755,0.00002602141,0.00051256944],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973922,0.0003593438,0.00028793188,0.0005912904,0.0006624681,0.00070677797],"domain_scores_gemma":[0.997904,0.0013680174,0.000086934204,0.0003240823,0.00013619199,0.0001807591],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008569404,0.0001709305,0.00023059806,0.00022862306,0.00050049083,0.00013127062,0.00026656492,0.00007856752,0.000045296172],"category_scores_gemma":[0.0012598938,0.00014661287,0.000047119986,0.0008322965,0.00047572612,0.00021215458,0.00012787283,0.00061015,0.000012733382],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018908323,0.0014158316,0.04490897,0.00046840162,0.00008157258,0.0007826816,0.0018293295,0.006124732,0.8041229,0.065337695,0.007442154,0.065594874],"study_design_scores_gemma":[0.0056137536,0.019460553,0.18562369,0.0012602846,0.00008586437,0.0023207837,0.0009876582,0.74258107,0.013545644,0.025003256,0.002084215,0.0014332078],"about_ca_topic_score_codex":0.00011645094,"about_ca_topic_score_gemma":0.00010957205,"teacher_disagreement_score":0.7905773,"about_ca_system_score_codex":0.00007957861,"about_ca_system_score_gemma":0.00010693202,"threshold_uncertainty_score":0.59786993},"labels":[],"label_agreement":null},{"id":"W1989913946","doi":"10.1007/s002210100721","title":"Critical flicker frequency responses in visual cortex","year":2001,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":57,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flicker fusion threshold; Flicker; Visual cortex; Neuroscience; Visual processing; Cortex (anatomy); Audiology; Physics; Psychology; Computer science; Medicine; Perception; Computer graphics (images)","score_opus":0.11971278470329097,"score_gpt":0.46625139497632,"score_spread":0.346538610273029,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989913946","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9797329,0.00013029372,0.000016915474,0.0051285718,0.00030065113,0.00032573193,0.0000064347764,0.00006350576,0.014295047],"genre_scores_gemma":[0.99414915,0.000024692214,0.000062921856,0.0014776118,0.000130977,0.0000943766,0.0000034963732,0.000028464037,0.0040283217],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9964027,0.0009887225,0.00026394453,0.0006595543,0.00091028475,0.00077480904],"domain_scores_gemma":[0.99699086,0.0024831018,0.00001769425,0.00026414578,0.00005577924,0.00018841185],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009688571,0.0001484552,0.00014955114,0.00040891272,0.0003157689,0.00016464568,0.00031353688,0.00009332709,0.0011982324],"category_scores_gemma":[0.004215547,0.00014006047,0.000056713216,0.0009397907,0.0005574833,0.00035593254,0.00022271575,0.00056296814,0.0005103115],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031304217,0.0004389912,0.0013960617,0.0000039011957,7.95542e-7,0.0006133186,0.0002278288,6.0921025e-7,0.9786334,0.01617053,0.0014275346,0.0007739813],"study_design_scores_gemma":[0.0011424426,0.001482825,0.02565366,0.000046734454,7.197226e-7,0.0002548142,0.0012030277,0.0038114553,0.95417523,0.004507221,0.0073338314,0.00038804905],"about_ca_topic_score_codex":0.00017098404,"about_ca_topic_score_gemma":0.000025923087,"teacher_disagreement_score":0.024458185,"about_ca_system_score_codex":0.00022222563,"about_ca_system_score_gemma":0.00007990764,"threshold_uncertainty_score":0.9997148},"labels":[],"label_agreement":null},{"id":"W1989925177","doi":"10.1016/j.heares.2012.02.007","title":"Neural sensitivity to novel sounds in the rat's dorsal cortex of the inferior colliculus as revealed by evoked local field potentials","year":2012,"lang":"en","type":"article","venue":"Hearing Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Inferior colliculus; Auditory cortex; Neuroscience; Stimulus (psychology); Oddball paradigm; Local field potential; Psychology; Audiology; Electrophysiology; Electroencephalography; Event-related potential; Medicine; Cognitive psychology","score_opus":0.07912424816562813,"score_gpt":0.36277076011647463,"score_spread":0.2836465119508465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989925177","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935114,0.000012693942,0.0002657661,0.0046289274,0.00035668118,0.00060891686,0.000008273376,0.000013119772,0.00059421506],"genre_scores_gemma":[0.99756455,0.000004285917,0.000008007469,0.0013987193,0.00007122571,0.000027515607,8.830799e-7,0.0000120729965,0.0009127396],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9971754,0.00087172916,0.00022462764,0.0002740004,0.00086631835,0.0005879282],"domain_scores_gemma":[0.9976524,0.0017240518,0.000043842872,0.0004060649,0.00008506195,0.00008854484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002624521,0.00010310824,0.00016163058,0.00010205227,0.00031702797,0.00010233795,0.00030877953,0.00007691163,0.000027358237],"category_scores_gemma":[0.002608144,0.00006349528,0.00006599794,0.00092114933,0.00018980658,0.00015639387,0.00035839868,0.0006342151,0.000032723397],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012211903,0.0001709631,0.008857935,0.000016509552,0.0000014632191,0.000008105864,0.00033736514,0.00009381858,0.9873019,0.0008057427,0.001110296,0.001173791],"study_design_scores_gemma":[0.0012947727,0.00084276847,0.5772078,0.00011423431,0.000011084816,0.00025719556,0.0006592886,0.025492229,0.3894365,0.00036984376,0.003966205,0.0003480562],"about_ca_topic_score_codex":0.0017847039,"about_ca_topic_score_gemma":0.00019837885,"teacher_disagreement_score":0.59786534,"about_ca_system_score_codex":0.00006992033,"about_ca_system_score_gemma":0.000063949956,"threshold_uncertainty_score":0.31223804},"labels":[],"label_agreement":null},{"id":"W1989965948","doi":"10.1186/1471-2202-15-s1-p31","title":"Development of avalanches and efficient communication in neuronal networks","year":2014,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Computer science; Neuroscience; Cognitive science; Psychology","score_opus":0.03848455633835135,"score_gpt":0.2511130259606036,"score_spread":0.21262846962225224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989965948","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9884181,0.000009204241,0.010792827,0.00006258089,0.00021121134,0.00012546906,6.6366067e-7,0.00002320009,0.00035675507],"genre_scores_gemma":[0.99840945,0.00001528392,0.0011129947,0.00040062887,0.000008490168,0.000008247172,4.5083266e-7,0.000006570633,0.000037867932],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99880964,0.00015703312,0.0002504833,0.0003588313,0.0002268626,0.00019714543],"domain_scores_gemma":[0.9992905,0.00029682156,0.00010878433,0.00023801817,0.000013408871,0.000052455784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004004632,0.000092261944,0.000109679655,0.00009246456,0.00014699847,0.000036581056,0.0002779846,0.000025165877,0.0000017198541],"category_scores_gemma":[0.0005260419,0.00008310321,0.000016799597,0.0003704605,0.0002283848,0.00008534233,0.00017646624,0.00011846338,0.0000017336504],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002325095,0.0001065012,0.008553618,0.000021666383,8.405324e-8,6.706535e-7,0.00017709984,0.026579803,0.95030016,0.0064951023,0.000006569085,0.007735505],"study_design_scores_gemma":[0.00021876933,0.00004593635,0.22402392,0.000021999926,9.580597e-7,0.000008313477,0.000009408726,0.7374293,0.0373208,0.000112385096,0.0007011496,0.00010702708],"about_ca_topic_score_codex":0.0000031729653,"about_ca_topic_score_gemma":0.000021296833,"teacher_disagreement_score":0.9129793,"about_ca_system_score_codex":0.000012754804,"about_ca_system_score_gemma":0.00003016337,"threshold_uncertainty_score":0.33888504},"labels":[],"label_agreement":null},{"id":"W1990826817","doi":"10.3389/fnsys.2011.00090","title":"Functional embedding predicts the variability of neural activity","year":2011,"lang":"en","type":"article","venue":"Frontiers in Systems Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":94,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; Santa Fe Institute; James S. McDonnell Foundation","keywords":"Betweenness centrality; Centrality; Embedding; Node (physics); Computer science; Degree (music); Functional connectivity; Proxy (statistics); Entropy (arrow of time); Topology (electrical circuits); Theoretical computer science; Artificial intelligence; Mathematics; Neuroscience; Machine learning; Psychology; Statistics; Combinatorics; Physics","score_opus":0.05293007125669064,"score_gpt":0.24340495087197728,"score_spread":0.19047487961528664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990826817","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9438509,0.000015636197,0.04092381,0.00008109643,0.012768922,0.0005297679,0.000021656062,0.00006196377,0.0017462866],"genre_scores_gemma":[0.9993448,0.000008895035,0.00009165291,0.00018031504,0.00005951169,0.00003787454,2.7214867e-7,0.000011726018,0.00026493368],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99746674,0.00059508695,0.00035779423,0.0006553062,0.0005563317,0.00036875342],"domain_scores_gemma":[0.9989215,0.00022370377,0.00025180698,0.00048469446,0.00004144932,0.00007686125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009390319,0.00016698762,0.00023615375,0.00014541273,0.00023127126,0.000052063842,0.00058239733,0.00006272632,0.000007031404],"category_scores_gemma":[0.0011943821,0.00011822551,0.00007531202,0.0009068022,0.00056633056,0.0005117718,0.00014311011,0.00029487273,0.0000021202145],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030004594,0.00041848933,0.18723063,0.00011461268,0.0000026051312,0.000036767553,0.00067596196,0.010956123,0.79068536,0.0048326496,0.0022359623,0.0025107977],"study_design_scores_gemma":[0.0003078354,0.00018055804,0.29416484,0.000028508384,0.000007452768,0.0000688662,0.000096904005,0.6820925,0.021747336,0.00078529416,0.00032211776,0.00019782482],"about_ca_topic_score_codex":0.000092455455,"about_ca_topic_score_gemma":0.000002245301,"teacher_disagreement_score":0.768938,"about_ca_system_score_codex":0.00006259229,"about_ca_system_score_gemma":0.000055649423,"threshold_uncertainty_score":0.48210964},"labels":[],"label_agreement":null},{"id":"W1990895156","doi":"10.1016/s0006-3495(03)74643-8","title":"Wavelet Analysis of Nonstationary Fluctuations of Monte Carlo-Simulated Excitatory Postsynaptic Currents","year":2003,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Wavelet; Monte Carlo method; Statistical physics; AMPA receptor; Physics; Excitatory postsynaptic potential; Mathematics; Computational physics; Statistics; Chemistry; Glutamate receptor; Computer science","score_opus":0.024429058928148194,"score_gpt":0.2746287759215512,"score_spread":0.25019971699340304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990895156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998647,0.0000075280795,0.0007458758,0.000050492483,0.00025577671,0.00006562906,0.000057100468,0.000008535661,0.00016211662],"genre_scores_gemma":[0.99970794,0.000020457694,0.00012361526,0.00006492082,0.000024823246,7.766933e-7,0.000004187072,0.000007760687,0.000045517903],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987627,0.00016817755,0.00037987498,0.000169083,0.00037078466,0.00014938175],"domain_scores_gemma":[0.9990768,0.00024546142,0.00028196938,0.00013607637,0.00016969556,0.00009003129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010428213,0.00009991788,0.0002452365,0.00032017758,0.00010129302,0.00001654483,0.00012300826,0.00003686164,0.000058765574],"category_scores_gemma":[0.00036640666,0.000084250205,0.00024822852,0.0011057886,0.00011897907,0.00015111697,0.000015968033,0.00016749192,0.00000595984],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027033728,0.00027120466,0.00053894694,0.000006280996,0.00011519568,0.000009280002,0.00007543094,0.00837772,0.9867742,0.0031378735,0.000026940133,0.00063990644],"study_design_scores_gemma":[0.0011252838,0.00049650524,0.12681115,0.0000443264,0.00094958156,0.0000533032,0.00011417438,0.7628612,0.10544787,0.0016235083,0.00012865094,0.0003444481],"about_ca_topic_score_codex":0.000006218306,"about_ca_topic_score_gemma":8.0765864e-7,"teacher_disagreement_score":0.8813263,"about_ca_system_score_codex":0.00003242824,"about_ca_system_score_gemma":0.00005463481,"threshold_uncertainty_score":0.34356236},"labels":[],"label_agreement":null},{"id":"W1990949262","doi":"10.1523/jneurosci.5011-09.2010","title":"Saccade Suppression by Electrical Microstimulation in Monkey Caudate Nucleus","year":2010,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Canadian Institutes of Health Research","keywords":"Microstimulation; Saccade; Caudate nucleus; Neuroscience; Antisaccade task; Psychology; Stimulus (psychology); Basal ganglia; Eye movement; Central nervous system; Stimulation; Cognitive psychology","score_opus":0.01795359542959839,"score_gpt":0.2742582400068859,"score_spread":0.2563046445772875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990949262","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963885,0.0000072956373,0.0003727694,0.0010683198,0.0019327134,0.000091307265,0.0000069591624,0.000013659242,0.00011849102],"genre_scores_gemma":[0.99802154,0.000048274083,0.00012646108,0.0015354122,0.00007741531,7.5184363e-7,3.2173824e-7,0.000011514432,0.0001782922],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983863,0.00009768718,0.00042277257,0.0002973435,0.00049491477,0.00030093887],"domain_scores_gemma":[0.9991201,0.00020482864,0.0003292506,0.00015360092,0.000050403367,0.00014179674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029516182,0.00011959217,0.00015932052,0.00022815062,0.00013563177,0.00013098825,0.00045067727,0.000100014855,0.000013215036],"category_scores_gemma":[0.0015745937,0.00009430792,0.00006423406,0.00068912696,0.00013796693,0.00071882847,0.000061316074,0.0010615463,0.0000068750987],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005290799,0.000100778336,0.0016879345,0.0000016414707,1.0180991e-7,0.000059087837,0.000019128374,0.00027330132,0.99468654,0.00010580135,0.0009934029,0.0020193837],"study_design_scores_gemma":[0.00073895516,0.00045607652,0.060484346,0.000018801937,0.0000046986975,0.00076507236,0.0000027814035,0.07460146,0.8474882,0.00067775726,0.014567048,0.00019475646],"about_ca_topic_score_codex":0.0000076269066,"about_ca_topic_score_gemma":0.0000039004567,"teacher_disagreement_score":0.14719827,"about_ca_system_score_codex":0.000034574416,"about_ca_system_score_gemma":0.00005931977,"threshold_uncertainty_score":0.46119493},"labels":[],"label_agreement":null},{"id":"W1991036624","doi":"10.1109/ccece.2012.6334839","title":"A parametric model and Maximum Likelihood estimation of neural rate functions","year":2012,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Estimator; Upper and lower bounds; Computer science; Parametric statistics; Estimation theory; Poisson distribution; Spike train; Likelihood function; Stochastic process; Computation; Maximum likelihood; Algorithm; Applied mathematics; Mathematics; Mathematical optimization; Statistics; Spike (software development)","score_opus":0.033185579944419015,"score_gpt":0.25786591387062185,"score_spread":0.22468033392620285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991036624","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9570059,0.00001755903,0.040609833,0.00024062693,0.00024646593,0.00012189936,0.000007804452,0.000049706792,0.0017001743],"genre_scores_gemma":[0.99833786,0.000011849682,0.0007557849,0.00035362688,0.000019773515,0.000007655973,0.0000024108037,0.0000076267224,0.0005034264],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993821,0.000039397863,0.00013946058,0.00014886202,0.00010496486,0.00018522353],"domain_scores_gemma":[0.9995911,0.0001401536,0.00005975753,0.00011353762,0.00001804024,0.00007742352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012674794,0.00007650412,0.000084295905,0.00012786876,0.00007820783,0.0000223953,0.000043178356,0.000032187763,0.000024184797],"category_scores_gemma":[0.0002437739,0.000061216815,0.000029410663,0.00036620212,0.000041275936,0.0003865127,0.000035865163,0.0000689963,0.000017915834],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010477217,0.0004584379,0.004311604,0.000070250324,0.000008041667,0.0000013122193,0.0001722887,0.09637309,0.7403073,0.02154882,0.0009842549,0.13565986],"study_design_scores_gemma":[0.00015814234,0.00005935576,0.004865225,0.0000019528004,0.000010778075,0.000012098886,0.00000989561,0.9804832,0.010136043,0.00416536,0.000026069496,0.000071880924],"about_ca_topic_score_codex":0.000011234994,"about_ca_topic_score_gemma":0.000001680603,"teacher_disagreement_score":0.8841101,"about_ca_system_score_codex":0.000009729918,"about_ca_system_score_gemma":0.0000080786285,"threshold_uncertainty_score":0.24963492},"labels":[],"label_agreement":null},{"id":"W1991209653","doi":"10.1007/s11002-008-9057-y","title":"Towards a brain-to-society systems model of individual choice","year":2008,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; The Quebec Population Health Research Network; Montreal Neurological Institute and Hospital; Queen's University; McGill University","funders":"","keywords":"Aggregate (composite); Consumer choice; Discrete choice; Computer science; Dual (grammatical number); Process (computing); Function (biology); Competition (biology); Consumer behaviour; Management science; Microeconomics; Economics; Psychology; Machine learning; Social psychology; Ecology","score_opus":0.043968784198549306,"score_gpt":0.24263523380821267,"score_spread":0.19866644960966337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991209653","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899283,0.000005305165,0.0026829808,0.005656072,0.00035843073,0.00021474621,0.000032587373,0.00007944211,0.0010421155],"genre_scores_gemma":[0.97994953,0.000005207859,0.0006888103,0.018737137,0.00010909905,0.000014750686,0.0000026083808,0.000022031765,0.0004708443],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984211,0.00018508903,0.00024678608,0.00036423118,0.00049228733,0.00029053038],"domain_scores_gemma":[0.99893785,0.000621664,0.000119891825,0.00021545823,0.000025462195,0.000079689155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007090935,0.00013564594,0.00016958882,0.00006706467,0.0001802105,0.000040277086,0.0002969641,0.000047249032,0.0000064101846],"category_scores_gemma":[0.0011765128,0.00012779117,0.000116095885,0.00030259136,0.000087045286,0.00009967028,0.00013031773,0.00016083127,0.000008050087],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003632,0.000024718738,0.0010533809,0.000060016937,0.000007222686,0.0000067648684,0.00041253582,0.017085632,0.94307494,0.000049152455,0.03739822,0.0007910838],"study_design_scores_gemma":[0.0014918064,0.00017684932,0.049707796,0.00026296385,0.000041502408,0.00015961737,0.00012387308,0.8917769,0.043435,0.000023398246,0.011795204,0.0010050599],"about_ca_topic_score_codex":0.00003582899,"about_ca_topic_score_gemma":7.157885e-7,"teacher_disagreement_score":0.89963996,"about_ca_system_score_codex":0.00004126251,"about_ca_system_score_gemma":0.000027231654,"threshold_uncertainty_score":0.52111727},"labels":[],"label_agreement":null},{"id":"W1991349981","doi":"10.1016/j.jneumeth.2010.10.004","title":"In vivo simultaneous intra- and extracellular potassium recordings using a micro-optrode","year":2010,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Université Laval","keywords":"Extracellular; Intracellular; Optode; Biophysics; In vivo; Electrophysiology; Fluorescence; Chemistry; Biochemistry; Neuroscience; Biology; Membrane; Optics; Physics","score_opus":0.042714316646888635,"score_gpt":0.3500015915660907,"score_spread":0.30728727491920205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991349981","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.969461,0.0000323839,0.02407707,0.0009524854,0.0053013186,0.00010934031,0.0000028298653,0.00001067697,0.000052853266],"genre_scores_gemma":[0.8805792,0.00010492788,0.11699991,0.0016367743,0.00022512574,9.0255395e-7,1.8570933e-8,0.000024081884,0.0004291021],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978752,0.0004354928,0.00055785896,0.00042004057,0.00033904947,0.00037232187],"domain_scores_gemma":[0.998017,0.0010430061,0.00048393177,0.00019297747,0.00007116104,0.00019188688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001806891,0.00017795445,0.0002962235,0.00038887624,0.00017960688,0.0001902357,0.00040424115,0.000087900415,0.00002063868],"category_scores_gemma":[0.006119547,0.00014579872,0.00008725055,0.00071629963,0.000320395,0.0007177969,0.00010049427,0.000904703,5.7627625e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043076096,0.00005626769,0.00018202071,0.0000073918404,3.3426264e-7,0.0003876617,0.00006327115,0.0004725684,0.9919355,0.00010705893,0.000024071043,0.0067207585],"study_design_scores_gemma":[0.00032229518,0.0002665549,0.00040704015,0.00002004126,0.000010621342,0.0039171968,0.00001708927,0.14153738,0.84525245,0.0014706813,0.006601356,0.00017730029],"about_ca_topic_score_codex":0.00001287964,"about_ca_topic_score_gemma":0.000003714875,"teacher_disagreement_score":0.14668308,"about_ca_system_score_codex":0.000035376124,"about_ca_system_score_gemma":0.00007511474,"threshold_uncertainty_score":0.7326111},"labels":[],"label_agreement":null},{"id":"W1991564249","doi":"10.1152/jn.00785.2013","title":"Large-scale, high-density (up to 512 channels) recording of local circuits in behaving animals","year":2013,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":325,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"FP7 People: Marie-Curie Actions; James S. McDonnell Foundation; National Institutes of Health; National Institute of Neurological Disorders and Stroke; Magyar Tudományos Akadémia; National Institute of Mental Health; York University","keywords":"Neocortex; Local field potential; Neuroscience; Computer science; Biological neural network; Multiplexing; Nerve net; Premovement neuronal activity; Electronic circuit; Electrophysiology; Hippocampus; Biology; Physics; Telecommunications","score_opus":0.025662949055465928,"score_gpt":0.2552059756131414,"score_spread":0.22954302655767547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991564249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961465,0.0000033188076,0.0010447993,0.00050779764,0.0021139844,0.00014625909,0.0000038737744,0.000009246075,0.00002422437],"genre_scores_gemma":[0.9986659,0.00003238396,0.00004619421,0.0009885436,0.00019032008,0.000002745381,2.8528842e-7,0.000018428384,0.00005515747],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983795,0.0002464032,0.00056619267,0.00027681378,0.0002012183,0.0003298434],"domain_scores_gemma":[0.9989381,0.0002464658,0.0003828784,0.00016187488,0.00014840259,0.00012227694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010750026,0.00013927204,0.00042346067,0.00029434843,0.000060428385,0.00002097032,0.00027846673,0.000074578944,0.000060251867],"category_scores_gemma":[0.0003307317,0.000118844306,0.00010964815,0.00038980745,0.00006506177,0.00021952644,0.00013562912,0.00037669583,0.000034556273],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000686627,0.0000930774,0.00021355523,0.000012176296,0.0000020457992,0.00008454318,0.0001053537,0.0017710181,0.9945993,0.00015477707,0.00007905316,0.0028164436],"study_design_scores_gemma":[0.0019434603,0.0065318965,0.62603927,0.00018239263,0.000032693442,0.00088635506,0.00034726932,0.01439488,0.34345645,0.0053765452,0.00029802386,0.0005107623],"about_ca_topic_score_codex":0.00008651668,"about_ca_topic_score_gemma":0.000008746816,"teacher_disagreement_score":0.65114284,"about_ca_system_score_codex":0.000039368995,"about_ca_system_score_gemma":0.00002457277,"threshold_uncertainty_score":0.484633},"labels":[],"label_agreement":null},{"id":"W1991637142","doi":"10.1523/jneurosci.2914-07.2007","title":"A New Thalamic Pathway of Vibrissal Information Modulated by the Motor Cortex","year":2007,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Thalamus; Nucleus; Cortex (anatomy); Biology; Receptive field; Sensory system; Direct pathway of movement; Electrophysiology; Anatomy; Central nervous system; Basal ganglia","score_opus":0.01623770772703858,"score_gpt":0.24067089855083282,"score_spread":0.22443319082379423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991637142","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98146665,0.000013007049,0.01616147,0.0005296476,0.0013526011,0.00012458873,0.000010352826,0.000012471136,0.00032923147],"genre_scores_gemma":[0.9982243,0.000029347137,0.000082120685,0.0013135227,0.000057513273,2.3335252e-7,2.5168598e-7,0.000005757155,0.0002869159],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982983,0.000058571393,0.0005802239,0.00012632902,0.00070724334,0.00022934731],"domain_scores_gemma":[0.99861777,0.00020999924,0.00077950116,0.00016854401,0.00010487442,0.00011928739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000597179,0.00010429024,0.00014332417,0.00015291851,0.00013226445,0.000082844665,0.00053010456,0.000038630755,0.000007354349],"category_scores_gemma":[0.00083686155,0.00006536107,0.00009457694,0.000651421,0.0001453985,0.0010558983,0.000055268316,0.0002523564,0.0000040584455],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006539718,0.000025570662,0.00012234462,0.0000033324286,4.6178832e-7,0.0000106248735,0.000065371285,0.00010165587,0.9908875,0.00024915702,0.000563161,0.007905426],"study_design_scores_gemma":[0.0009303417,0.0015386016,0.16006151,0.00004156231,0.000014178835,0.001404876,0.00007005601,0.029138176,0.79235476,0.0008474667,0.013380666,0.000217832],"about_ca_topic_score_codex":0.000013729156,"about_ca_topic_score_gemma":0.0000011527455,"teacher_disagreement_score":0.19853276,"about_ca_system_score_codex":0.000029159688,"about_ca_system_score_gemma":0.000107259984,"threshold_uncertainty_score":0.26653472},"labels":[],"label_agreement":null},{"id":"W1991671671","doi":"10.1159/000118623","title":"Brain Electrical Imaging the Dose-Response Effects of Cigarette Smoking","year":2008,"lang":"en","type":"article","venue":"Neuropsychobiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre","funders":"","keywords":"Nicotine; Electroencephalography; tar (computing); Audiology; Psychology; Cigarette smoking; Neuroscience; Medicine; Internal medicine","score_opus":0.015062979087640786,"score_gpt":0.255229426911945,"score_spread":0.2401664478243042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991671671","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934048,0.000052900083,0.00017279152,0.004178343,0.0013348707,0.00023682113,0.0000030983063,0.00007577304,0.0005406004],"genre_scores_gemma":[0.9873844,0.00004256349,0.0000056196845,0.01212178,0.00009381003,0.000013936463,9.1544695e-7,0.000021572207,0.0003154159],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9977832,0.0010322514,0.00023987931,0.00044375885,0.00015144348,0.0003494914],"domain_scores_gemma":[0.99586576,0.0035736868,0.00013164412,0.00035456414,0.000026095127,0.000048231574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022986412,0.00015421599,0.0001830631,0.00010735656,0.00023929212,0.000010459911,0.00035060162,0.00006030489,0.000017291752],"category_scores_gemma":[0.0019808135,0.00010431806,0.00010172784,0.00044694703,0.00035087747,0.00005948267,0.00006679642,0.00036639252,0.000014774995],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041626702,0.000046429504,0.0024172773,0.0000042432694,0.0000032405287,0.00013756858,0.000062599196,0.0000105011,0.9900402,0.0007416253,0.0020446754,0.004075402],"study_design_scores_gemma":[0.002196994,0.0014944591,0.5312965,0.000024398283,0.000029509592,0.0028186492,0.0000057212696,0.005178335,0.41707578,0.001070996,0.038352273,0.000456353],"about_ca_topic_score_codex":0.0000048503316,"about_ca_topic_score_gemma":3.849569e-7,"teacher_disagreement_score":0.5729644,"about_ca_system_score_codex":0.000016205697,"about_ca_system_score_gemma":0.000029364837,"threshold_uncertainty_score":0.4253967},"labels":[],"label_agreement":null},{"id":"W1991805872","doi":"10.1186/2190-8567-1-3","title":"Tailoring inputs to achieve maximal neuronal firing","year":2011,"lang":"en","type":"article","venue":"The Journal of Mathematical Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China; University of Pittsburgh; National Science Foundation","keywords":"Bounded function; Upper and lower bounds; Magnitude (astronomy); Monotonic function; Interval (graph theory); Spike (software development); Computer science; Applied mathematics; Mathematics; Physics; Mathematical analysis; Combinatorics","score_opus":0.08891383462263203,"score_gpt":0.2726901187474996,"score_spread":0.18377628412486757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991805872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9689159,0.000003361787,0.025530422,0.001877871,0.00074557564,0.00016216401,0.0000017641969,0.000027813545,0.0027351556],"genre_scores_gemma":[0.9949403,0.000013085478,0.0009062571,0.0038230943,0.00009293829,0.0000017910128,1.183409e-8,0.00001668796,0.0002058705],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979983,0.00018887728,0.0004904061,0.00022165517,0.0007293826,0.0003714105],"domain_scores_gemma":[0.99868155,0.00048340566,0.00026033865,0.00028205343,0.00005845244,0.00023422441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009348143,0.00015766127,0.00020584451,0.00012994879,0.00025897464,0.000073374744,0.0010687229,0.000026993763,0.00006637642],"category_scores_gemma":[0.0021700358,0.00009334181,0.00009759954,0.0005221068,0.00024199646,0.00041477595,0.00027804158,0.00041373007,0.00008039294],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018359482,0.00014049408,0.00003548805,0.000013924064,7.9501774e-7,0.00006125885,0.0005799606,0.00027139767,0.98820925,0.008685728,0.00007852916,0.0017395725],"study_design_scores_gemma":[0.000748919,0.004971867,0.011710586,0.00023155993,0.00007470466,0.006163789,0.00008816606,0.025038322,0.8188809,0.12994146,0.0014849368,0.0006647802],"about_ca_topic_score_codex":7.321802e-7,"about_ca_topic_score_gemma":2.952063e-7,"teacher_disagreement_score":0.16932836,"about_ca_system_score_codex":0.000022248476,"about_ca_system_score_gemma":0.00003490632,"threshold_uncertainty_score":0.38063684},"labels":[],"label_agreement":null},{"id":"W1991833044","doi":"10.1016/j.neubiorev.2011.02.010","title":"Contributions of the thalamocortical system towards sound-specific auditory plasticity","year":2011,"lang":"en","type":"review","venue":"Neuroscience & Biobehavioral Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Alberta Innovates - Health Solutions","keywords":"Tonotopy; Auditory cortex; Neuroscience; Auditory system; Neuroplasticity; Sensory system; Psychology; Cortex (anatomy); Receptive field","score_opus":0.19882791264122823,"score_gpt":0.36839383939595155,"score_spread":0.16956592675472332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991833044","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00036635774,0.9847204,0.0005813776,0.0000043744803,0.009336661,0.0037562768,0.0006343575,0.00014400453,0.00045615318],"genre_scores_gemma":[0.0052249576,0.9937673,0.000023163875,0.00012165419,0.0002743451,0.0003455595,0.000006288151,0.00005637799,0.00018034317],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9940997,0.0010651973,0.001824918,0.0013996784,0.0008340747,0.0007764307],"domain_scores_gemma":[0.9966091,0.000034533456,0.0016881473,0.0012395275,0.00014853574,0.0002801634],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007344148,0.0007776609,0.002224321,0.00019668514,0.0006110523,0.00014960956,0.0021271,0.0003734112,0.0000641281],"category_scores_gemma":[0.00167296,0.0004421444,0.0013767414,0.0020646846,0.0013814117,0.00026890196,0.00061955815,0.0010908615,0.00018140726],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000063290445,0.00027302484,0.000011617944,0.0031260513,1.6056946e-7,0.000023302844,0.000012151157,3.874171e-7,0.007945047,0.012923975,0.0011701368,0.9745078],"study_design_scores_gemma":[0.0000849434,0.00015097874,0.00012489785,0.0036018258,0.00032908737,0.0002253188,0.000002728173,0.000021760292,0.00013543463,0.000036348036,0.9948849,0.00040177518],"about_ca_topic_score_codex":0.000015607984,"about_ca_topic_score_gemma":0.0000029095731,"teacher_disagreement_score":0.99371475,"about_ca_system_score_codex":0.00034696437,"about_ca_system_score_gemma":0.00044474122,"threshold_uncertainty_score":0.999803},"labels":[],"label_agreement":null},{"id":"W1991841506","doi":"10.1016/j.neuroimage.2009.06.076","title":"Right frontal cortex generates reward-related theta-band oscillatory activity","year":2009,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":111,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Psychology; Electroencephalography; Theta rhythm; Negativity effect; Anterior cingulate cortex; Event-related potential; Frontal cortex; Neuroscience; Posterior cingulate; Stimulus (psychology); Audiology; Cortex (anatomy); Cognitive psychology; Cognition; Medicine","score_opus":0.01812160245940536,"score_gpt":0.24080787173968637,"score_spread":0.222686269280281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991841506","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9720089,0.000024704486,0.00004293736,0.0010375697,0.0010161838,0.00023352836,0.00002761713,0.00026020413,0.025348352],"genre_scores_gemma":[0.9942769,0.000036731548,0.000016948828,0.0016683297,0.00010675922,0.0000034277032,0.0000036526756,0.000025721509,0.0038615565],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99808615,0.00019020836,0.00021525145,0.0007080086,0.00042294484,0.00037741684],"domain_scores_gemma":[0.9991861,0.000110704044,0.00012462756,0.00041148384,0.000039694074,0.00012736428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014810695,0.0002444741,0.0002254323,0.00009186286,0.00030746948,0.00013045523,0.00024352905,0.000094051225,0.00021400984],"category_scores_gemma":[0.00021458564,0.0002030253,0.00013290535,0.00027729987,0.00011534903,0.00038900608,0.000036962236,0.0003723781,0.00021830008],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047135298,0.00010416755,0.00014496328,0.0000026093844,0.0000021439548,0.00016299351,0.000022667346,0.000032410546,0.99426514,0.00053232367,0.0020192696,0.0026642026],"study_design_scores_gemma":[0.0010107277,0.00062765344,0.14754324,0.00001133594,0.00003052871,0.00021031329,0.0000041531684,0.011442938,0.8243054,0.0037842907,0.010479314,0.00055010087],"about_ca_topic_score_codex":0.000010901698,"about_ca_topic_score_gemma":0.000006388865,"teacher_disagreement_score":0.16995971,"about_ca_system_score_codex":0.000055373028,"about_ca_system_score_gemma":0.000036300495,"threshold_uncertainty_score":0.8279131},"labels":[],"label_agreement":null},{"id":"W1992145501","doi":"10.1016/j.brainres.2011.06.065","title":"Gamma oscillations in schizophrenia: Mechanisms and clinical significance","year":2011,"lang":"en","type":"review","venue":"Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":119,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"National Institute of Mental Health; Canadian Institutes of Health Research","keywords":"Endophenotype; Neuroscience; Schizophrenia (object-oriented programming); Psychology; Cognition; Psychosis; Cognitive psychology; Psychiatry","score_opus":0.36157437453973534,"score_gpt":0.4762423598017429,"score_spread":0.11466798526200755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992145501","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00031006927,0.9881347,0.00019890376,0.0006709843,0.00090222876,0.0033656438,0.00011157218,0.000109406385,0.0061965347],"genre_scores_gemma":[0.00024327132,0.9958259,0.0002314786,0.000107200576,0.00017334186,0.00016993465,0.000011154647,0.0000583334,0.003179384],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9941233,0.0026868032,0.00077919045,0.001199507,0.0005691257,0.00064207206],"domain_scores_gemma":[0.99317807,0.005800152,0.00016297931,0.0005728933,0.00007322813,0.00021270361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003816124,0.0002860638,0.0008896769,0.0007323287,0.00026556617,0.00014859284,0.0005819882,0.00043248598,0.00010872076],"category_scores_gemma":[0.0055466625,0.00023312595,0.00020334867,0.0014500052,0.00046811535,0.00012873214,0.0004382052,0.001959634,0.00027971042],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023671691,0.00007598148,0.0000030354863,0.00096965296,0.000005610517,0.000059482885,0.000011072527,1.8207369e-7,0.000081485596,0.05121593,0.00086125324,0.94669265],"study_design_scores_gemma":[0.00035025482,0.00026262173,0.00008600667,0.0018342384,0.000020099338,0.00005100329,0.000007454464,0.00029967746,0.000008536106,0.014101265,0.9826399,0.00033895342],"about_ca_topic_score_codex":0.00006347379,"about_ca_topic_score_gemma":0.00011295646,"teacher_disagreement_score":0.9817786,"about_ca_system_score_codex":0.0001012316,"about_ca_system_score_gemma":0.00042864794,"threshold_uncertainty_score":0.95066},"labels":[],"label_agreement":null},{"id":"W1992290522","doi":"10.1016/j.jphysparis.2005.09.018","title":"Charting epilepsy by searching for intelligence in network space with the help of evolving autonomous agents","year":2004,"lang":"en","type":"article","venue":"Journal of Physiology-Paris","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto East General Hospital; University of Toronto","funders":"","keywords":"Limit cycle; Population; Computer science; Space (punctuation); Artificial intelligence; Recurrent neural network; Synaptic weight; Network dynamics; Limit (mathematics); Focus (optics); Artificial neural network; Neuroscience; Psychology; Mathematics; Medicine; Physics","score_opus":0.021802427664300274,"score_gpt":0.27393715552769166,"score_spread":0.25213472786339136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992290522","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98708856,0.00010022006,0.010581074,0.0016874807,0.000258499,0.0002000852,0.0000042289257,0.000006496628,0.00007334777],"genre_scores_gemma":[0.9983202,0.00008837039,0.0009731738,0.00038630283,0.00016784552,0.000004694525,6.646904e-7,0.000012574515,0.000046123023],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988644,0.00011849007,0.00037065826,0.00017855522,0.00017236003,0.0002954986],"domain_scores_gemma":[0.99869436,0.00048080226,0.0005802401,0.00012509133,0.00007297566,0.00004655481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005675471,0.00010927539,0.00024928886,0.00006457354,0.00014877679,0.000024027746,0.00026959553,0.000043602427,0.000011144177],"category_scores_gemma":[0.00023599617,0.00006778113,0.000089889116,0.00026672642,0.0001144225,0.0001845867,0.000058334586,0.00037260872,0.0000014414072],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018588375,0.00007650556,0.00061734417,0.000024431984,0.0000106576,0.0000049782107,0.0003937744,0.08922965,0.9064481,0.00043918818,0.0010123182,0.0015571619],"study_design_scores_gemma":[0.0027034797,0.0055546598,0.052284054,0.0010561598,0.00008805991,0.0002261765,0.0012775143,0.22993356,0.67504,0.02881135,0.0023284212,0.0006965268],"about_ca_topic_score_codex":0.000031858333,"about_ca_topic_score_gemma":0.000010800242,"teacher_disagreement_score":0.23140807,"about_ca_system_score_codex":0.000068793175,"about_ca_system_score_gemma":0.00006686582,"threshold_uncertainty_score":0.27640346},"labels":[],"label_agreement":null},{"id":"W1992361489","doi":"10.1523/jneurosci.2315-05.2005","title":"Human Anterior Cingulate Cortex Neurons Encode Cognitive and Emotional Demands","year":2005,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":201,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Stroop effect; Neuroscience; Anterior cingulate cortex; Psychology; Salience (neuroscience); Cognition; Neuroimaging; Cingulate cortex; Sensory system; Cognitive psychology; Central nervous system","score_opus":0.029931822014372868,"score_gpt":0.2905172894286233,"score_spread":0.2605854674142504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992361489","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970274,0.000022487227,0.0006974819,0.0010657404,0.0006893711,0.00008465866,0.000009504991,0.000018046945,0.00038530325],"genre_scores_gemma":[0.99570566,0.00009007717,0.00006982826,0.0034844696,0.00021367727,7.9865515e-7,1.276715e-7,0.0000119388615,0.00042342013],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983927,0.00010277432,0.00042153522,0.0003348071,0.00048470942,0.00026349793],"domain_scores_gemma":[0.9990864,0.00014164644,0.0004046643,0.00009476358,0.00009239468,0.00018014979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025567773,0.00014343833,0.00019265233,0.00020420401,0.00037768367,0.00015337605,0.00025799903,0.000033673645,0.000019374205],"category_scores_gemma":[0.0006535379,0.000117417774,0.0000837659,0.00030728674,0.00033426416,0.0007226903,0.00009413335,0.00030789676,0.000004890848],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023967988,0.00007484518,0.0009793226,0.000004649381,6.326106e-7,0.00010704319,0.00005045305,0.000103454644,0.9950231,0.00026557097,0.000053513097,0.0033134767],"study_design_scores_gemma":[0.0015640758,0.0019135758,0.89308137,0.0002245319,0.000036851354,0.007390244,0.000035970523,0.030263148,0.062169455,0.0007963869,0.0021442454,0.00038014405],"about_ca_topic_score_codex":0.0000011373904,"about_ca_topic_score_gemma":0.0000028704937,"teacher_disagreement_score":0.93285364,"about_ca_system_score_codex":0.000022888213,"about_ca_system_score_gemma":0.0000462993,"threshold_uncertainty_score":0.4788158},"labels":[],"label_agreement":null},{"id":"W1992465606","doi":"10.1002/mrm.1211","title":"New devices to deliver somatosensory stimuli during functional MRI","year":2001,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; Toronto Rehabilitation Institute; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Somatosensory system; Functional magnetic resonance imaging; Computer science; Neuroscience; Flexibility (engineering); Proprioception; Afferent; Psychology","score_opus":0.034554853246675586,"score_gpt":0.2685044739690301,"score_spread":0.2339496207223545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992465606","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9869499,0.0011226933,0.000493127,0.0069845887,0.00069894857,0.00027822645,0.0000018554763,0.00006787317,0.003402767],"genre_scores_gemma":[0.9757036,0.0005777825,0.00047443263,0.0046930974,0.000583542,0.000021200283,0.0000019852282,0.00002374353,0.017920604],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9982569,0.0000614869,0.00032067078,0.0005141946,0.00048184826,0.00036488022],"domain_scores_gemma":[0.9992819,0.00021161149,0.000050242266,0.00024723582,0.000030670322,0.00017834819],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00013371732,0.00017311884,0.00021175278,0.00020589262,0.00010095077,0.000020072743,0.00019381373,0.00005368814,0.0014683609],"category_scores_gemma":[0.00039633302,0.00014306688,0.000028402093,0.0006779301,0.00008073493,0.000114247145,0.00006510807,0.00019034305,0.00020456924],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000753781,0.000109247376,0.05168083,0.000057593214,0.0000018003715,0.0008999585,0.00051914837,0.0025291615,0.60414606,0.0011984641,0.018663872,0.3194401],"study_design_scores_gemma":[0.0018821658,0.00047514003,0.8788519,0.00023036434,0.000007833944,0.0002160137,0.00007261376,0.006007894,0.0027258282,0.00065858226,0.10861513,0.00025657142],"about_ca_topic_score_codex":0.0002049788,"about_ca_topic_score_gemma":0.00019661553,"teacher_disagreement_score":0.827171,"about_ca_system_score_codex":0.000058821966,"about_ca_system_score_gemma":0.000022509832,"threshold_uncertainty_score":0.9994444},"labels":[],"label_agreement":null},{"id":"W1992538039","doi":"10.1152/jn.00764.2012","title":"Differences in spectral profiles between rostral and caudal premotor cortex when hand-eye actions are decoupled","year":2013,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Canadian Institutes of Health Research; York University","keywords":"Premotor cortex; Neuroscience; Stimulus (psychology); Psychology; Eye movement; Dorsum; Local field potential; Motor cortex; Cognitive psychology; Anatomy; Biology; Stimulation","score_opus":0.038799194199667625,"score_gpt":0.261141008342835,"score_spread":0.22234181414316737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992538039","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980386,0.00000680609,0.000018063009,0.0011778708,0.00051747053,0.00018854537,0.000016249587,0.000010579872,0.000025797062],"genre_scores_gemma":[0.9990852,0.00006627318,0.000073372496,0.00024549547,0.00031248198,0.0000065658805,7.818886e-7,0.0000125614215,0.00019725574],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987905,0.00016833095,0.00038198748,0.00024678846,0.00014947119,0.0002629001],"domain_scores_gemma":[0.9990692,0.00028003813,0.00035378244,0.00012933045,0.000055701657,0.00011193462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000029320967,0.00014744562,0.0003487905,0.00016320113,0.00011119176,0.000081684375,0.00023743752,0.00006993584,0.0000822016],"category_scores_gemma":[0.0003166241,0.00010813656,0.00007500086,0.00011642427,0.00019020581,0.0003241598,0.00007380712,0.00041764046,0.000010176006],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000649763,0.000056145826,0.018336458,0.000011374922,0.000005516144,0.000047688838,0.00005784961,0.000016488626,0.9807881,0.000031050084,0.000096591015,0.00048773456],"study_design_scores_gemma":[0.00052149594,0.0008359962,0.9859872,0.000022534558,0.000011998605,0.00009616596,0.000032101616,0.0016726025,0.007836262,0.0028351634,0.000044081935,0.000104417595],"about_ca_topic_score_codex":0.000040220115,"about_ca_topic_score_gemma":0.000011402097,"teacher_disagreement_score":0.9729519,"about_ca_system_score_codex":0.000022840468,"about_ca_system_score_gemma":0.00003235784,"threshold_uncertainty_score":0.4409681},"labels":[],"label_agreement":null},{"id":"W1993046737","doi":"10.1111/j.1460-9568.2004.03718.x","title":"The cortically evoked secondary depolarization affects the integrative properties of thalamic reticular neurons","year":2004,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Institute of Neurological Disorders and Stroke; Canadian Institutes of Health Research","keywords":"Depolarization; Neuroscience; Excitatory postsynaptic potential; Thalamic reticular nucleus; Postsynaptic potential; Thalamus; Reticular connective tissue; Stimulation; Chemistry; Axon; Inhibitory postsynaptic potential; Reticular formation; Biophysics; Biology; Anatomy","score_opus":0.02158826964972449,"score_gpt":0.22257659689822415,"score_spread":0.20098832724849966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993046737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98985296,0.00010058427,0.0040940763,0.0033510204,0.0013565802,0.00024120037,0.0000028946465,0.000019568204,0.0009811182],"genre_scores_gemma":[0.99832815,0.00019818048,0.000041212385,0.001215335,0.00006649138,0.0000010185262,9.7805255e-8,0.00002242014,0.0001270876],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99720234,0.0010975085,0.00050807017,0.0002712051,0.00064501486,0.0002758437],"domain_scores_gemma":[0.99851173,0.00027431553,0.0006371172,0.00032612812,0.00015997708,0.00009074114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009459437,0.00017035403,0.00016799946,0.00008123549,0.0006275265,0.0002158923,0.0010256596,0.000015271507,0.0000016494812],"category_scores_gemma":[0.0031608313,0.00007879773,0.00013793631,0.00058918376,0.0011044915,0.0004218004,0.00015752837,0.0005782175,0.0000055043483],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057220772,0.0000477784,0.000035064553,0.0000060868206,0.0000015002624,0.00011856995,0.00026020387,0.0013045631,0.9935901,0.00288301,0.000019375962,0.0016764816],"study_design_scores_gemma":[0.0010879823,0.0029164515,0.09490496,0.00027264116,0.000050900937,0.0021388445,0.0002760244,0.006192486,0.8886686,0.001251773,0.0019416573,0.00029767654],"about_ca_topic_score_codex":0.0000016385923,"about_ca_topic_score_gemma":0.0000022695665,"teacher_disagreement_score":0.10492154,"about_ca_system_score_codex":0.00003093279,"about_ca_system_score_gemma":0.00017061265,"threshold_uncertainty_score":0.48264897},"labels":[],"label_agreement":null},{"id":"W1993067701","doi":"10.7554/elife.03235","title":"How do we walk and chew gum at the same time?","year":2014,"lang":"en","type":"letter","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Psychology","score_opus":0.022622251796581273,"score_gpt":0.22128066211754324,"score_spread":0.19865841032096196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993067701","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0075170933,0.0002642477,0.000013331058,0.98842096,0.0009733384,0.00023640585,0.0000418678,0.000067571105,0.002465167],"genre_scores_gemma":[0.0035312467,0.00045602635,0.000007831884,0.80777556,0.0027228685,0.000016207667,0.000023729222,0.000045377554,0.18542117],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984447,0.00015001032,0.00012336092,0.0005344068,0.000449255,0.00029831176],"domain_scores_gemma":[0.9989423,0.00039581608,0.00013418497,0.00046094516,0.00002201677,0.000044749715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001355607,0.00023687058,0.00021470101,0.000047830155,0.00022911982,0.00028682908,0.00024512474,0.00027896353,0.00017223861],"category_scores_gemma":[0.0002080906,0.00014551151,0.00008773155,0.000094183386,0.00015106653,0.00006658759,0.00019850861,0.0007834104,0.00051765214],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004309966,0.0000027317424,0.0000063910843,0.000027175212,0.0000030547094,0.000045389366,0.000018269107,5.984419e-7,0.018856622,0.000051597945,0.97889596,0.0020879216],"study_design_scores_gemma":[0.0001019,0.00004410283,0.000049038495,0.00002835289,0.000014984714,0.00009829477,0.0000010433441,0.00043856495,0.0030342522,0.00017720777,0.99582016,0.00019210826],"about_ca_topic_score_codex":0.000008864601,"about_ca_topic_score_gemma":0.0000034471475,"teacher_disagreement_score":0.182956,"about_ca_system_score_codex":0.000041611005,"about_ca_system_score_gemma":0.000012474747,"threshold_uncertainty_score":0.6653544},"labels":[],"label_agreement":null},{"id":"W1993074412","doi":"10.1016/j.neuroimage.2009.08.048","title":"Dynamics of motor-related functional integration during motor sequence learning","year":2009,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":144,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"National Institute of Biomedical Imaging and Bioengineering; National Center for Research Resources; Wellcome Trust","keywords":"Associative property; Motor learning; Neuroscience; Sequence learning; Psychology; Sequence (biology); Associative learning; Premotor cortex; Motor skill; Computer science; Cognitive psychology; Biology; Mathematics; Dorsum; Anatomy","score_opus":0.026487592358882192,"score_gpt":0.24699791916458033,"score_spread":0.22051032680569815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993074412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99468863,0.0000041151234,0.001188317,0.00079302356,0.00041828054,0.0001877737,0.000019145278,0.00016981036,0.0025309254],"genre_scores_gemma":[0.99626017,0.000021078227,0.000074353484,0.00025625224,0.000044864286,0.0000037930085,0.000019889385,0.000017302298,0.0033022894],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998622,0.00011966314,0.000304488,0.0004174727,0.00031496436,0.0002214175],"domain_scores_gemma":[0.999392,0.00011093949,0.00018267213,0.00019374244,0.00006105462,0.00005961961],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000098184566,0.00015657012,0.00014827301,0.0001506671,0.00019063111,0.000050014904,0.00014990178,0.000067981535,0.00007749057],"category_scores_gemma":[0.0005845784,0.00015034822,0.00009618915,0.00035752868,0.00007916161,0.00037179742,0.00003392761,0.00041196943,0.000032979096],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007661798,0.00004690059,0.00023605731,0.000007906469,0.0000010546935,0.000026651343,0.000023115315,0.0008772879,0.9899606,0.004904766,0.000009842138,0.0038291884],"study_design_scores_gemma":[0.0008363335,0.0009831134,0.1801038,0.00005213532,0.000018620547,0.00020112025,0.000034348726,0.4825157,0.33069396,0.0040979404,0.000093264,0.0003696903],"about_ca_topic_score_codex":0.000008055462,"about_ca_topic_score_gemma":0.0000028161912,"teacher_disagreement_score":0.65926665,"about_ca_system_score_codex":0.000076405166,"about_ca_system_score_gemma":0.000021531596,"threshold_uncertainty_score":0.61310226},"labels":[],"label_agreement":null},{"id":"W1993152810","doi":"10.1007/s10827-009-0209-8","title":"Nonlinear cross-frequency interactions in primary auditory cortex spectrotemporal receptive fields: a Wiener–Volterra analysis","year":2010,"lang":"en","type":"article","venue":"Journal of Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Auditory cortex; Receptive field; Nonlinear system; Theory of computation; Neuroscience; Computer science; Psychology; Physics; Algorithm","score_opus":0.022722916537659617,"score_gpt":0.31018029835801364,"score_spread":0.287457381820354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993152810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98149925,0.0000032478395,0.01259753,0.0009204681,0.0039020786,0.000106579275,0.000017601067,0.000018226492,0.0009349898],"genre_scores_gemma":[0.9948314,0.000009686258,0.002879121,0.0017420887,0.0003852808,0.0000026492962,0.0000034761201,0.000009979491,0.00013634597],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9977573,0.00013200653,0.0007042528,0.00039752212,0.00075644185,0.00025247026],"domain_scores_gemma":[0.99828035,0.000494733,0.0006673227,0.00016809221,0.00025032644,0.0001391638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004274621,0.00015978594,0.0002826849,0.0007534708,0.0002030386,0.00018250463,0.0004944592,0.000046230576,0.00010656986],"category_scores_gemma":[0.0008807583,0.00014101664,0.00022814272,0.0016573642,0.00039970456,0.0011354053,0.00007287135,0.000928693,0.00000825228],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010745023,0.0003925173,0.011072212,0.000007101888,0.000008983928,0.00019755067,0.00012730795,0.077734835,0.9070448,0.0024570604,0.00015942035,0.0006907059],"study_design_scores_gemma":[0.0007505606,0.00048082415,0.6971496,0.000023695655,0.00004358307,0.0006567881,0.000015617514,0.28187913,0.004503661,0.013519809,0.0006761149,0.00030061134],"about_ca_topic_score_codex":0.00001324677,"about_ca_topic_score_gemma":0.000051145642,"teacher_disagreement_score":0.9025412,"about_ca_system_score_codex":0.00008694439,"about_ca_system_score_gemma":0.00028029367,"threshold_uncertainty_score":0.5750492},"labels":[],"label_agreement":null},{"id":"W1993466907","doi":"10.1152/jn.00125.2009","title":"Neural Activity in Primate Caudate Nucleus Associated With Pro- and Antisaccades","year":2009,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research","keywords":"Saccade; Neuroscience; Superior colliculus; Antisaccade task; Primate; Psychology; Caudate nucleus; Premovement neuronal activity; Basal ganglia; Eye movement; Central nervous system","score_opus":0.023907116594359915,"score_gpt":0.26588257266277543,"score_spread":0.24197545606841553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993466907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986279,0.0000037666318,0.0000069542893,0.001014442,0.0001836804,0.00008852107,0.000003327096,0.000013640059,0.000057745845],"genre_scores_gemma":[0.99872375,0.00007481413,0.000019095156,0.0010995087,0.00004604059,4.1742246e-7,2.6572158e-7,0.000009821948,0.000026310008],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989829,0.00023001597,0.00021951397,0.00020647292,0.00013750691,0.00022358874],"domain_scores_gemma":[0.9993214,0.000166619,0.00032699222,0.000084646825,0.00004041528,0.000059923488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005230849,0.00012278151,0.0002730513,0.00012913965,0.000062991996,0.0000339011,0.00012637072,0.000048802773,0.0000029132193],"category_scores_gemma":[0.00029804534,0.00008554403,0.000037846614,0.00023276875,0.00009019146,0.0003066181,0.000027811853,0.0003923682,0.000001156982],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037979888,0.00012903116,0.00033331962,0.000003534453,0.0000024654626,0.0004212069,0.000021862958,0.00064943766,0.99366355,0.000070059934,0.0000074705295,0.0043182466],"study_design_scores_gemma":[0.001121717,0.0039056109,0.94988614,0.00003407958,0.000013215807,0.00063145865,0.0000037897555,0.012868733,0.030378712,0.0009535085,0.000052156433,0.00015090054],"about_ca_topic_score_codex":0.0000024364874,"about_ca_topic_score_gemma":0.0000017118925,"teacher_disagreement_score":0.96328485,"about_ca_system_score_codex":0.000022856622,"about_ca_system_score_gemma":0.000021997497,"threshold_uncertainty_score":0.34883842},"labels":[],"label_agreement":null},{"id":"W1993578154","doi":"10.1103/physreve.68.021920","title":"Firing statistics of a neuron model driven by long-range correlated noise","year":2003,"lang":"en","type":"article","venue":"Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":97,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Ontario","keywords":"Fano factor; Statistical physics; Physics; Noise (video); Spectral density; Range (aeronautics); Statistics; Fano plane; Probability density function; Interval (graph theory); Quasistatic process; Mathematics; Computer science; Quantum mechanics; Optics; Artificial intelligence; Shot noise; Combinatorics","score_opus":0.01724655604638668,"score_gpt":0.2985068302556877,"score_spread":0.281260274209301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993578154","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44714308,0.005587337,0.5179331,0.0020125706,0.0030044052,0.0032193274,0.004911688,0.0004327086,0.015755802],"genre_scores_gemma":[0.99112046,0.005161349,0.0014873382,0.0004470065,0.00009920785,0.000034211425,0.0002190071,0.00008414885,0.0013472851],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970879,0.00028901626,0.00082102936,0.0008235858,0.00047171008,0.0005067742],"domain_scores_gemma":[0.9981692,0.0007483821,0.00027833253,0.00040611808,0.00011194158,0.0002860136],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013468349,0.0004604488,0.00083458546,0.00004842465,0.00026776482,0.000048635113,0.00026062943,0.00011991913,0.00005076489],"category_scores_gemma":[0.00059183605,0.00039480283,0.00017250946,0.00028504853,0.00052540336,0.0002624443,0.00030728086,0.0007806015,0.000053216005],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000268314,0.0029915317,0.0009094772,0.0039222897,0.00017627414,0.00022962216,0.0010031295,0.004967745,0.111794785,0.79892385,0.03270253,0.04211044],"study_design_scores_gemma":[0.00083467225,0.0006862488,0.00034099902,0.0007363726,0.00028825397,0.00004157238,0.000009706501,0.7198001,0.0035947352,0.27276066,0.00032065358,0.00058599946],"about_ca_topic_score_codex":0.000002838176,"about_ca_topic_score_gemma":0.0000015320967,"teacher_disagreement_score":0.71483237,"about_ca_system_score_codex":0.000060497718,"about_ca_system_score_gemma":0.000051975327,"threshold_uncertainty_score":0.9998504},"labels":[],"label_agreement":null},{"id":"W1993940540","doi":"10.1117/1.jbo.18.7.076021","title":"Optical imaging of acute epileptic networks in mice","year":2013,"lang":"en","type":"article","venue":"Journal of Biomedical Optics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Polytechnique Montréal; Montreal Heart Institute","funders":"Natural Sciences and Engineering Research Council of Canada; National Science and Technology Council; Consejo Nacional de Ciencia y Tecnología","keywords":"Resting state fMRI; Hemodynamics; Epilepsy; Neuroscience; Premovement neuronal activity; Blood flow; Medicine; Internal medicine; Biology","score_opus":0.010963754150241244,"score_gpt":0.24932198261674066,"score_spread":0.2383582284664994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993940540","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9791855,0.000038345395,0.015038176,0.0040127025,0.001095299,0.000103542974,0.0000025466177,0.0000071765194,0.0005166972],"genre_scores_gemma":[0.99620265,0.0001833195,0.0026705507,0.00067631045,0.00020732533,9.94881e-7,6.8083256e-7,0.000010653641,0.000047541656],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983887,0.000061633866,0.0007022761,0.0001277193,0.00045542425,0.00026426621],"domain_scores_gemma":[0.99888754,0.00039312252,0.0003177759,0.000092938484,0.0000991609,0.0002094336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034442972,0.00009987007,0.0002688675,0.00021097717,0.000025510553,0.000036862504,0.00026527865,0.00007762681,0.00008263567],"category_scores_gemma":[0.0004746285,0.00007332976,0.00010900549,0.00041323583,0.0002681761,0.00023870093,0.00007009925,0.0004480135,0.000012286248],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008049588,0.0004599393,0.001077856,0.000026961121,0.000023698565,0.00042940484,0.000055457986,0.0004049078,0.9669696,0.0021503319,0.00153019,0.026791135],"study_design_scores_gemma":[0.0021384512,0.0011232948,0.013574978,0.00028913326,0.000099467456,0.0015245025,0.00009321913,0.95103323,0.024996549,0.004241877,0.00057006004,0.00031521224],"about_ca_topic_score_codex":0.0000035860749,"about_ca_topic_score_gemma":2.648255e-7,"teacher_disagreement_score":0.95062834,"about_ca_system_score_codex":0.00004262497,"about_ca_system_score_gemma":0.000050525745,"threshold_uncertainty_score":0.29903007},"labels":[],"label_agreement":null},{"id":"W1994180127","doi":"10.1016/j.jneumeth.2003.11.015","title":"Editing trains of action potentials from multi-electrode arrays","year":2004,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Spike (software development); Computer science; Waveform; Noise (video); Spike train; Train; Pattern recognition (psychology); Interval (graph theory); Artificial intelligence; Mathematics; Telecommunications","score_opus":0.15884414677011754,"score_gpt":0.4153959503412618,"score_spread":0.25655180357114427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994180127","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5138734,0.000012133382,0.4828034,0.0005092987,0.0026718813,0.00006521066,0.000006871028,0.000013461126,0.00004438023],"genre_scores_gemma":[0.8904004,0.00008725414,0.108324684,0.000771353,0.00035566106,0.0000010720752,2.2211553e-7,0.00001583749,0.000043484008],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975238,0.00055032416,0.0006825915,0.00034412535,0.0005911611,0.00030803672],"domain_scores_gemma":[0.998112,0.0004027761,0.0010310187,0.00019083633,0.0001245021,0.00013886674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013255266,0.00015566833,0.0003314923,0.00026375818,0.00019504434,0.000079141195,0.00047542932,0.00006345863,0.000010091631],"category_scores_gemma":[0.004383465,0.00012555803,0.00021878011,0.00069999,0.00021015509,0.0007255138,0.000050091323,0.0004294472,0.0000012951965],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031353415,0.00013094682,0.000036720437,0.000005339012,0.0000013935504,0.000028396362,0.00010901167,0.004097412,0.9790628,0.00021394162,0.000007881959,0.016274806],"study_design_scores_gemma":[0.00058613217,0.00043630463,0.004473322,0.000033453416,0.0000211346,0.00025181344,0.000053081887,0.007588468,0.98223674,0.0038158754,0.0003975582,0.000106105],"about_ca_topic_score_codex":0.000019358666,"about_ca_topic_score_gemma":0.0000034508653,"teacher_disagreement_score":0.37652707,"about_ca_system_score_codex":0.000069725356,"about_ca_system_score_gemma":0.00012327525,"threshold_uncertainty_score":0.52477336},"labels":[],"label_agreement":null},{"id":"W1994252282","doi":"10.1167/10.8.21","title":"Imperceptibly rapid contrast modulations processed in cortex: Evidence from psychophysics","year":2010,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Eye Institute; University of California, San Diego; McGill University","keywords":"Contrast (vision); Visual cortex; Spatial frequency; Psychophysics; Refresh rate; Modulation (music); Visual processing; Reversing; Neuroscience; Communication; Optics; Psychology; Computer science; Artificial intelligence; Physics; Perception; Materials science; Acoustics","score_opus":0.024375592884726814,"score_gpt":0.30939139329535437,"score_spread":0.2850158004106276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994252282","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967913,0.000020353391,0.0009143332,0.00092593936,0.0011574469,0.00009716434,0.000004666237,0.000008897696,0.00007989179],"genre_scores_gemma":[0.9988246,0.00015019164,0.00043111065,0.00030218062,0.0002640202,0.0000010132175,7.296487e-7,0.000008163689,0.000018005],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989435,0.000054148848,0.0003685674,0.0001743392,0.00033446873,0.00012494164],"domain_scores_gemma":[0.9990142,0.0003470929,0.00030708106,0.00014120109,0.000114665025,0.0000757493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002151538,0.00009012904,0.00015661842,0.00012892629,0.00007231707,0.000093698814,0.00020492375,0.000059988142,0.00009146706],"category_scores_gemma":[0.0005920291,0.00006928976,0.00007253747,0.0003108967,0.00004519533,0.0009395493,0.000019735739,0.0004636895,0.000016064112],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010928752,0.00010145594,0.0010423172,0.0000035544006,0.0000010727521,0.000012953846,0.00010359507,0.00014121259,0.9779745,0.000049193102,0.00012609524,0.020334793],"study_design_scores_gemma":[0.0014052512,0.000819704,0.8641344,0.00034537227,0.000017732762,0.00007245908,0.000052348933,0.0650897,0.060591985,0.0068867556,0.00036911241,0.00021522197],"about_ca_topic_score_codex":0.00001783249,"about_ca_topic_score_gemma":0.000040642582,"teacher_disagreement_score":0.9173825,"about_ca_system_score_codex":0.0000212083,"about_ca_system_score_gemma":0.000050588686,"threshold_uncertainty_score":0.28255543},"labels":[],"label_agreement":null},{"id":"W1994278136","doi":"10.1523/jneurosci.5509-05.2006","title":"Slow State Transitions of Sustained Neural Oscillations by Activity-Dependent Modulation of Intrinsic Excitability","year":2006,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":125,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research; National Institutes of Health; Howard Hughes Medical Institute","keywords":"Bursting; Bistability; Tonic (physiology); Neuroscience; Inhibitory postsynaptic potential; Extracellular; Neocortex; Pyramidal cell; Chemistry; Modulation (music); Physics; Biophysics; Biology","score_opus":0.018782387833512208,"score_gpt":0.25160324430038217,"score_spread":0.23282085646686995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994278136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.986353,0.000007759231,0.011867654,0.00083370175,0.00055948214,0.00017938702,0.00008074766,0.000012936069,0.00010532524],"genre_scores_gemma":[0.9996335,0.00001659764,0.00006429236,0.00008755286,0.00003531561,0.0000012473466,7.985921e-7,0.000009517743,0.00015120817],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99787295,0.00021837054,0.00067069265,0.0002731537,0.0007377033,0.00022711736],"domain_scores_gemma":[0.99838024,0.00024463137,0.00081430207,0.0002083373,0.0002720785,0.000080425816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038651208,0.00013280487,0.00026305372,0.00025747594,0.00015814503,0.000041633473,0.00027748212,0.000036442692,0.0000058839014],"category_scores_gemma":[0.0005275658,0.00011503787,0.00014843978,0.00081589725,0.00033110834,0.0008380695,0.000037379505,0.00022998854,3.3426457e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008566014,0.00026882408,0.00077349367,0.00001890138,6.7816745e-7,0.000008384597,0.000044403478,0.020931128,0.97598046,0.00030712725,0.000041809475,0.0015391501],"study_design_scores_gemma":[0.0011247746,0.0011991798,0.41573516,0.000029651655,0.000029306626,0.00020089703,0.000040115665,0.13360302,0.44273317,0.0049010213,0.00015458187,0.00024912454],"about_ca_topic_score_codex":0.00003678067,"about_ca_topic_score_gemma":0.000011170566,"teacher_disagreement_score":0.5332473,"about_ca_system_score_codex":0.00006231489,"about_ca_system_score_gemma":0.00009655699,"threshold_uncertainty_score":0.4691108},"labels":[],"label_agreement":null},{"id":"W1994315833","doi":"10.1159/000118580","title":"Effects of Low-Yield Cigarettes on Electroencephalographic Dynamics","year":2008,"lang":"en","type":"article","venue":"Neuropsychobiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre","funders":"","keywords":"Electroencephalography; Nicotine; Yield (engineering); Psychology; Audiology; tar (computing); Neuroscience; Medicine; Physics; Computer science","score_opus":0.01293644327366212,"score_gpt":0.22298752527727245,"score_spread":0.21005108200361033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994315833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960782,0.000014700008,0.0001111865,0.00041273478,0.001231345,0.00023977639,0.000009245441,0.000093612696,0.0018091956],"genre_scores_gemma":[0.99559927,0.0003394344,0.000007122263,0.0037468006,0.00006748207,0.000016097467,0.0000044543103,0.000022276274,0.00019709095],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985781,0.00018418509,0.00023056146,0.000522214,0.00013438179,0.00035058032],"domain_scores_gemma":[0.9985155,0.0009793744,0.0001298639,0.00028406593,0.000029175806,0.00006201831],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000042130865,0.00018567116,0.00023552177,0.00019117494,0.00012750429,0.000005294098,0.00028138672,0.00010996675,0.000020697213],"category_scores_gemma":[0.00050208386,0.00015574433,0.00011664752,0.00045695857,0.0003342692,0.000051649324,0.00003324301,0.00031068496,0.000026288319],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014152113,0.0001802634,0.0026248435,0.000019327843,0.0000039726897,0.0001035625,0.000016398148,0.000019200214,0.98905647,0.0058226436,0.0004018803,0.001609896],"study_design_scores_gemma":[0.0010556121,0.0049408483,0.17168862,0.00006080226,0.000016446167,0.0005264248,0.0000030843935,0.002316172,0.81649,0.0018959021,0.00057243265,0.00043368858],"about_ca_topic_score_codex":0.0000051781176,"about_ca_topic_score_gemma":0.000003957975,"teacher_disagreement_score":0.17256652,"about_ca_system_score_codex":0.000015078001,"about_ca_system_score_gemma":0.000014111678,"threshold_uncertainty_score":0.6351069},"labels":[],"label_agreement":null},{"id":"W1994455760","doi":"10.1046/j.1460-9568.2002.02046.x","title":"Corticofugal modulation of midbrain sound processing in the house mouse","year":2002,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":131,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research; Deutsche Forschungsgemeinschaft; University of Calgary","keywords":"Midbrain; Inferior colliculus; Neuroscience; Superior colliculus; Auditory cortex; Stimulation; Cortex (anatomy); Cerebral cortex; Inferior Colliculi; Nucleus; Biology; Central nervous system","score_opus":0.0721129206882536,"score_gpt":0.2588796143129605,"score_spread":0.18676669362470694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994455760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954022,0.000022544731,0.0028202129,0.00060021406,0.00031508377,0.00009369879,0.0000016550267,0.000015591857,0.0007288102],"genre_scores_gemma":[0.9984101,0.00003799125,0.00006958825,0.0012833165,0.00006788222,3.2746038e-7,3.7951203e-8,0.000019628364,0.00011110198],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9977431,0.000676087,0.00054501736,0.00021986464,0.0006051481,0.00021073289],"domain_scores_gemma":[0.99900705,0.000120334495,0.00056726584,0.00018776741,0.00005994262,0.000057640787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009533695,0.00010942751,0.00013635584,0.0001877134,0.00014221355,0.00013129812,0.00065483723,0.000011182425,0.000005981707],"category_scores_gemma":[0.0012291035,0.000073273324,0.00006913257,0.0007170573,0.00024828097,0.00057676615,0.00004894068,0.00029035224,0.0000070329897],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017871414,0.00013227342,0.00049143494,0.000008101374,1.3605982e-7,0.00020585669,0.0005547011,0.0028998454,0.99046373,0.00012228121,0.00005886989,0.005044895],"study_design_scores_gemma":[0.0020669128,0.0024866434,0.51119137,0.00016280428,0.000023627765,0.0030929986,0.00029675636,0.43666744,0.040390484,0.0007348867,0.0023612543,0.0005247917],"about_ca_topic_score_codex":7.319735e-7,"about_ca_topic_score_gemma":7.728928e-7,"teacher_disagreement_score":0.95007324,"about_ca_system_score_codex":0.000016785503,"about_ca_system_score_gemma":0.000014625803,"threshold_uncertainty_score":0.29879993},"labels":[],"label_agreement":null},{"id":"W1994487634","doi":"10.1186/1471-2202-8-s2-p149","title":"Spike timing – an incomplete description of neural code","year":2007,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Movement Disorders","funders":"","keywords":"Spike (software development); Computer science; Code (set theory); Measure (data warehouse); Neural coding; Spike train; Neuroscience; Artificial intelligence; Domain (mathematical analysis); Biological neural network; Natural language processing; Machine learning; Psychology; Data mining; Mathematics; Programming language","score_opus":0.16411662334453958,"score_gpt":0.31698970587118136,"score_spread":0.15287308252664178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994487634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9676741,0.0000030563806,0.02967867,0.000047604837,0.0014477717,0.00019748737,0.000013389824,0.00010856974,0.00082938187],"genre_scores_gemma":[0.9976141,0.0000037996813,0.00068569795,0.0012742836,0.00007395884,0.0000029056955,0.000001291995,0.000017494604,0.0003265113],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979139,0.000111026086,0.0003620636,0.0006503534,0.000517043,0.0004456284],"domain_scores_gemma":[0.99901575,0.00019056184,0.00020021666,0.00038402624,0.00004667685,0.00016275013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054477557,0.00015859303,0.00015495377,0.00019390212,0.0002684124,0.00008548882,0.0005120832,0.000042942702,0.000010957939],"category_scores_gemma":[0.0007195288,0.00014627783,0.00006701972,0.00077267,0.0003413025,0.00081250136,0.00012404294,0.00016325162,0.000009472122],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004376251,0.00006694879,0.0050697904,0.000011658971,6.645313e-8,0.00001487567,0.000042312557,0.0008117205,0.9897913,0.002166384,0.000012956258,0.001968233],"study_design_scores_gemma":[0.00038619663,0.00066575455,0.19401509,0.000017259767,0.0000070257474,0.00017480356,0.00004031358,0.30287746,0.4994587,0.0006989222,0.0013280797,0.00033040016],"about_ca_topic_score_codex":0.000027889757,"about_ca_topic_score_gemma":0.00008371663,"teacher_disagreement_score":0.4903326,"about_ca_system_score_codex":0.000029740213,"about_ca_system_score_gemma":0.000034374767,"threshold_uncertainty_score":0.5965037},"labels":[],"label_agreement":null},{"id":"W1994553168","doi":"10.1016/j.brainres.2007.01.041","title":"Spatio-temporal receptive field properties of cells in the rat superior colliculus","year":2007,"lang":"en","type":"article","venue":"Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Receptive field; Spatial frequency; Contrast (vision); Superior colliculus; Inferior colliculus; Neuroscience; Physics; Chemistry; Biology; Optics","score_opus":0.11349269216038252,"score_gpt":0.3503002363151156,"score_spread":0.23680754415473307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994553168","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99056005,0.000018353441,0.00003097447,0.0059364503,0.00016155581,0.0006103894,0.00000385714,0.0000109656785,0.0026674096],"genre_scores_gemma":[0.99652886,0.00001764978,0.000025461086,0.0009215043,0.000059347618,0.000017788037,0.0000013335988,0.000008701477,0.0024193693],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978925,0.0005716841,0.00022610996,0.0002602238,0.00067245,0.0003770393],"domain_scores_gemma":[0.99796337,0.0016249721,0.000034605444,0.00023753986,0.00009835478,0.000041133302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029253403,0.000076767945,0.00010708394,0.00019827779,0.0001565582,0.000058891485,0.00036407012,0.0000631839,0.00006709849],"category_scores_gemma":[0.0019370534,0.000048062666,0.00003987206,0.00090811244,0.00023651945,0.00010730477,0.00009570392,0.0003897303,0.0000320045],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002821768,0.00009184219,0.000884156,0.000025925681,7.9764544e-7,0.000036904537,0.0015493396,0.000010892606,0.9883659,0.001166629,0.004734033,0.0028514245],"study_design_scores_gemma":[0.00024804258,0.00042100667,0.0014252476,0.000032985725,5.5909305e-7,0.000006492425,0.0014565187,0.0007522639,0.9865119,0.00025019006,0.00882276,0.000072076735],"about_ca_topic_score_codex":0.00044587295,"about_ca_topic_score_gemma":0.00087077974,"teacher_disagreement_score":0.0059688003,"about_ca_system_score_codex":0.00004264293,"about_ca_system_score_gemma":0.00007137778,"threshold_uncertainty_score":0.23189738},"labels":[],"label_agreement":null},{"id":"W1994636041","doi":"10.1016/j.heares.2010.06.006","title":"How do neurons work together? Lessons from auditory cortex","year":2010,"lang":"en","type":"review","venue":"Hearing Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"National Institute on Deafness and Other Communication Disorders; National Institute of Mental Health; Engineering and Physical Sciences Research Council","keywords":"Auditory cortex; Neuroscience; Sensory system; Stimulus (psychology); Auditory system; Population; Electrophysiology; Local field potential; Biology; Psychology; Medicine","score_opus":0.3044623023458691,"score_gpt":0.4398276326783091,"score_spread":0.13536533033244003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994636041","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016582693,0.98494625,0.000024528936,0.001790754,0.0061678234,0.0015757054,0.00017104596,0.00025563847,0.0034099927],"genre_scores_gemma":[0.0010293539,0.9835979,0.000044674358,0.00006583551,0.00189354,0.00016857179,0.000027919392,0.00014906464,0.013023139],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9947002,0.0011984596,0.0003516035,0.0014383232,0.0013045089,0.001006921],"domain_scores_gemma":[0.9945321,0.003601488,0.00016118212,0.0012882957,0.00010594843,0.00031097073],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0009742715,0.00041418948,0.00090795587,0.00047772558,0.00071941287,0.0010743638,0.001115873,0.0005984857,0.00014897717],"category_scores_gemma":[0.0023710923,0.00033947694,0.00038783383,0.0012740174,0.00040269265,0.00016662038,0.0007760635,0.005393282,0.00073380856],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009173076,0.000057586112,0.000006983603,0.00075358123,0.000008304808,0.00012845175,0.000020382422,3.4118156e-7,0.0029184879,0.00061755866,0.003729644,0.9917495],"study_design_scores_gemma":[0.00007578425,0.00005629803,0.000117189025,0.0023044653,0.000029890578,0.000023905604,0.0000061205,0.00002732242,0.000037612634,0.00043096507,0.9965868,0.00030366456],"about_ca_topic_score_codex":0.00008546908,"about_ca_topic_score_gemma":0.000027166789,"teacher_disagreement_score":0.99285716,"about_ca_system_score_codex":0.00017615316,"about_ca_system_score_gemma":0.00040223345,"threshold_uncertainty_score":0.9999626},"labels":[],"label_agreement":null},{"id":"W1994903700","doi":"10.1142/s0218127408020379","title":"ON THE SPATIAL ORGANIZATION OF EPILEPTIFORM ACTIVITY","year":2008,"lang":"en","type":"article","venue":"International Journal of Bifurcation and Chaos","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Toronto Western Hospital; Hospital for Sick Children","funders":"","keywords":"Ictal; Neuroscience; Epilepsy; Magnetoencephalography; Premovement neuronal activity; Synchronization (alternating current); Electroencephalography; Brain activity and meditation; Psychology; Computer science; Artificial intelligence","score_opus":0.025283945019197472,"score_gpt":0.24520594378220306,"score_spread":0.21992199876300558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994903700","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99111205,0.0000023966127,0.003742119,0.0040838756,0.000567297,0.000047979785,0.0000052944038,0.000004279509,0.00043467814],"genre_scores_gemma":[0.9989892,0.00014238052,0.000012601488,0.0006074715,0.00013580824,5.6622446e-7,0.0000011297651,0.0000045411534,0.00010625243],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99933565,0.000039027258,0.00017714058,0.000066989975,0.0003399631,0.00004122069],"domain_scores_gemma":[0.99915844,0.00017945255,0.0003185504,0.00005167921,0.00026846764,0.00002339273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000106820495,0.00004797909,0.00006385803,0.00009434495,0.0000700904,0.0000162655,0.00014217134,0.000022747437,0.00008622199],"category_scores_gemma":[0.00051441335,0.000031107447,0.00003129873,0.00009990059,0.000062937295,0.0001444003,0.000019751946,0.00009292794,0.0000053247736],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026779,0.00033511478,0.0070404992,0.0000062320573,0.00003115378,0.000019343093,0.00076551305,0.0002950142,0.907131,0.04095753,0.00093402155,0.042216767],"study_design_scores_gemma":[0.00096068287,0.00040523743,0.15546611,0.000053765067,0.000012001969,0.0006661532,0.0000697904,0.0075455112,0.82997936,0.0034573097,0.0012563063,0.0001277978],"about_ca_topic_score_codex":0.000009763246,"about_ca_topic_score_gemma":0.0000019315273,"teacher_disagreement_score":0.14842561,"about_ca_system_score_codex":0.000026747499,"about_ca_system_score_gemma":0.000031770833,"threshold_uncertainty_score":0.12685248},"labels":[],"label_agreement":null},{"id":"W1995103438","doi":"10.3389/fphys.2010.00017","title":"Le Chatelier's principle in sensation and perception: fractal-like enfolding at different scales","year":2010,"lang":"en","type":"article","venue":"Frontiers in Physiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Universitat de Barcelona; University of Toronto","keywords":"Unification; Sensation; Perception; Sensory system; Stimulus (psychology); Fractal; Psychology; Computer science; Cognitive psychology; Cognitive science; Neuroscience; Mathematics; Mathematical analysis","score_opus":0.010874969887240626,"score_gpt":0.23540167308227342,"score_spread":0.2245267031950328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995103438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99725163,0.000008436525,0.000122908,0.00026836677,0.0019241369,0.0001657666,0.000003632954,0.000023419543,0.00023169634],"genre_scores_gemma":[0.9991424,0.00007604804,0.00020846857,0.00028999356,0.00007822557,0.000018742743,0.000011102631,0.000010258584,0.00016472526],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991041,0.0000836401,0.00015761716,0.00037394394,0.00007084501,0.00020989917],"domain_scores_gemma":[0.9997003,0.000056885496,0.00005943378,0.00013821568,0.000007242061,0.00003789855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006520323,0.00010867645,0.00017047676,0.0001324444,0.000101729944,0.000014478561,0.000081546816,0.0001083139,0.000019953162],"category_scores_gemma":[0.00006654061,0.00009924571,0.00002564081,0.0001022165,0.00013580614,0.00012940382,0.00009702104,0.00024323724,0.0000058275377],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004955539,0.000042256976,0.022639267,0.000008917934,8.5121115e-7,0.0000029386254,0.00012271773,0.000047330795,0.9726549,0.00091657974,0.00015401398,0.0033607061],"study_design_scores_gemma":[0.00058995764,0.00006813737,0.9321354,0.000009023424,0.0000017860909,0.000011963689,0.00008972878,0.039237358,0.020936187,0.0047454294,0.0019952022,0.00017979932],"about_ca_topic_score_codex":0.000024103938,"about_ca_topic_score_gemma":0.00028866224,"teacher_disagreement_score":0.9517187,"about_ca_system_score_codex":0.000050659743,"about_ca_system_score_gemma":0.000007982662,"threshold_uncertainty_score":0.40471226},"labels":[],"label_agreement":null},{"id":"W1995121413","doi":"10.1523/jneurosci.3692-12.2013","title":"Perceiving Threat In the Face of Safety: Excitation and Inhibition of Conditioned Fear in Human Visual Cortex","year":2013,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Mental Health; Canadian Institutes of Health Research","keywords":"Psychology; Stimulus (psychology); Facilitation; Perception; Sensory cue; Visual cortex; Fear conditioning; Neuroscience; Sensory system; Expectancy theory; Visual perception; Cognitive psychology; Social psychology","score_opus":0.027640993284765002,"score_gpt":0.29215669936884214,"score_spread":0.26451570608407715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995121413","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99892175,0.0000070963447,0.00023802104,0.0004697866,0.0001245078,0.00016885878,0.00000260091,0.0000020900463,0.0000652723],"genre_scores_gemma":[0.99954915,0.000052055344,0.000014701678,0.00034961672,0.000012818669,0.0000016711665,2.9438462e-7,0.0000039333727,0.000015752843],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99870646,0.00018657761,0.00045811757,0.00014807157,0.00038303348,0.00011773398],"domain_scores_gemma":[0.9991668,0.00025790848,0.00041190445,0.00007124207,0.000063212276,0.000028970377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044676213,0.000070412374,0.00015037354,0.00024200213,0.00007947415,0.000042310043,0.00014098026,0.000026233358,0.0000068420336],"category_scores_gemma":[0.00046572543,0.00004993735,0.000034042507,0.0004927,0.00023247037,0.0007111623,0.00002867391,0.00018056911,4.4646188e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015297303,0.00007926043,0.002474448,0.000011598532,1.309256e-7,0.000008749622,0.000655616,0.00019551393,0.99583113,0.00039265092,0.0000072104667,0.0003284096],"study_design_scores_gemma":[0.00043215044,0.00055712025,0.944588,0.000077823686,0.0000026613516,0.000100943485,0.00048718732,0.0071220947,0.04479268,0.0017831543,0.0000031521322,0.000053029806],"about_ca_topic_score_codex":0.00003623091,"about_ca_topic_score_gemma":0.0000132961295,"teacher_disagreement_score":0.9510384,"about_ca_system_score_codex":0.000021575408,"about_ca_system_score_gemma":0.000022412525,"threshold_uncertainty_score":0.2036386},"labels":[],"label_agreement":null},{"id":"W1995194198","doi":"10.1152/jn.00291.2011","title":"Sound frequency representation in primary auditory cortex is level tolerant for moderately loud, complex sounds","year":2011,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary","funders":"","keywords":"Tonotopy; Auditory cortex; Natural sounds; Neural coding; Sound exposure; Stimulus (psychology); Local field potential; Auditory system; Cochlea; Neuroscience; Tone (literature); Acoustics; Computer science; Speech recognition; Psychology; Physics; Sound (geography)","score_opus":0.18592701783435928,"score_gpt":0.31037466805114766,"score_spread":0.12444765021678839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995194198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99458367,0.0000054584048,0.00264156,0.00022060188,0.0017964737,0.00019081628,0.000025381194,0.000011105491,0.00052495656],"genre_scores_gemma":[0.9955711,0.000045556688,0.00079018244,0.0030975512,0.00035824886,0.0000062978597,0.0000036211438,0.000022629169,0.00010485942],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99847305,0.00018400393,0.0005863566,0.000315971,0.00018706157,0.00025354404],"domain_scores_gemma":[0.9988395,0.0002797125,0.0004888827,0.00018399948,0.00014094425,0.000066957786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006886588,0.0001509814,0.0003423655,0.00018500179,0.00010436582,0.000023851186,0.0002587328,0.00007475466,0.00005914234],"category_scores_gemma":[0.00019286085,0.00012791815,0.00015227927,0.00017588677,0.000121960926,0.00029394237,0.00004409455,0.00028826512,0.000011218324],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008392349,0.00016277391,0.00012665492,0.000019077966,0.000006247729,0.0001046879,0.00021191018,0.00038381774,0.99648714,0.00054738036,0.00039707543,0.00071399007],"study_design_scores_gemma":[0.0024898406,0.0039555244,0.8441434,0.000027784145,0.000034815184,0.00060437486,0.00004755547,0.023459196,0.014783677,0.10971092,0.00037969637,0.00036319773],"about_ca_topic_score_codex":0.000017383954,"about_ca_topic_score_gemma":0.00000305539,"teacher_disagreement_score":0.98170346,"about_ca_system_score_codex":0.000059180096,"about_ca_system_score_gemma":0.00007089332,"threshold_uncertainty_score":0.52163506},"labels":[],"label_agreement":null},{"id":"W1995445862","doi":"10.1523/jneurosci.4805-09.2010","title":"Feedforward Inhibition Determines the Angular Tuning of Vibrissal Responses in the Principal Trigeminal Nucleus","year":2010,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research","keywords":"Excitatory postsynaptic potential; Neuroscience; Stimulus (psychology); Relay; Nucleus; Physics; Lateral inhibition; Inhibitory postsynaptic potential; Thalamus; Principal axis theorem; Latency (audio); Biophysics; Biology; Computer science; Mathematics; Psychology; Geometry; Telecommunications","score_opus":0.03709012178906463,"score_gpt":0.28847815743356914,"score_spread":0.2513880356445045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995445862","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968891,0.000006022295,0.00015764934,0.0016546331,0.0010350717,0.00012066903,0.000004791224,0.0000057114053,0.00012631461],"genre_scores_gemma":[0.9985836,0.000020790969,0.000083375315,0.0011040135,0.00013751007,0.0000017676987,6.010794e-8,0.00000725487,0.000061601124],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998159,0.0002970428,0.00045813518,0.00018966285,0.0006781537,0.00021799684],"domain_scores_gemma":[0.9984418,0.0007011944,0.000499003,0.00023178963,0.0000757067,0.00005047517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014418444,0.00010700475,0.00014967647,0.0001942958,0.00021853343,0.000119289565,0.0006510646,0.00003850628,0.0000045818197],"category_scores_gemma":[0.003414474,0.000056137815,0.00010353329,0.0006945396,0.0004520311,0.00043880206,0.00007750364,0.00058780593,0.000001038639],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001285645,0.000058950805,0.0011254401,0.0000042659403,2.0289444e-7,0.0001401482,0.00023925725,0.000064554406,0.99585164,0.00050730846,0.000027470753,0.0018522262],"study_design_scores_gemma":[0.0010066231,0.0018088492,0.33550724,0.00009828995,0.00002744866,0.00746259,0.0003438553,0.019250989,0.62442994,0.0016358469,0.008164271,0.00026403155],"about_ca_topic_score_codex":0.0000054720695,"about_ca_topic_score_gemma":0.000011123362,"teacher_disagreement_score":0.37142164,"about_ca_system_score_codex":0.000011638071,"about_ca_system_score_gemma":0.000082686674,"threshold_uncertainty_score":0.4087691},"labels":[],"label_agreement":null},{"id":"W1995673472","doi":"10.1121/1.4782592","title":"Dynamics of thalamocortical circuits for sound processing revealed by magnetoencephalography.","year":2008,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"","keywords":"Magnetoencephalography; Thalamus; Computer science; Auditory cortex; Stimulus (psychology); Rhythm; Perception; Neuroscience; Control reconfiguration; Speech recognition; Electroencephalography; Psychology; Acoustics; Physics; Cognitive psychology","score_opus":0.021579266172336856,"score_gpt":0.2538455598904054,"score_spread":0.23226629371806856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995673472","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41261575,0.00016597117,0.58092904,0.0055010235,0.0002518182,0.00034844317,0.000057046625,0.000011813301,0.00011913088],"genre_scores_gemma":[0.99521947,0.00034604457,0.0031401617,0.0011011952,0.00007251508,0.0000019280944,5.5636093e-7,0.000014670844,0.000103431164],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99844825,0.00012575925,0.0005276579,0.00012391372,0.00052732584,0.0002471152],"domain_scores_gemma":[0.9978292,0.0009657354,0.00073614204,0.000200313,0.00019787496,0.000070755515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033837542,0.00012644124,0.00032050943,0.000019159297,0.00030018255,0.0000105695235,0.00058949273,0.0000631105,0.000011014154],"category_scores_gemma":[0.00061291846,0.000067573266,0.00046988158,0.00043541877,0.0015447313,0.0001052727,0.00008054393,0.00033082272,3.322273e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032724187,0.0005854476,0.0018384284,0.00022389472,0.00006964583,0.0000024040128,0.0007403118,0.0041213296,0.9532618,0.000112124224,0.014654192,0.024063215],"study_design_scores_gemma":[0.0012896926,0.0019066025,0.005937577,0.00014996361,0.00045874921,0.0006619113,0.0009377376,0.957795,0.013601443,0.016633477,0.0003274538,0.00030038707],"about_ca_topic_score_codex":0.000006441588,"about_ca_topic_score_gemma":2.2191914e-7,"teacher_disagreement_score":0.95367366,"about_ca_system_score_codex":0.000039884,"about_ca_system_score_gemma":0.000079677055,"threshold_uncertainty_score":0.5691627},"labels":[],"label_agreement":null},{"id":"W1995682276","doi":"10.1523/jneurosci.2771-14.2014","title":"Phase–Amplitude Coupling and Interlaminar Synchrony Are Correlated in Human Neocortex","year":2014,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Toronto Western Hospital","funders":"Canadian Institutes of Health Research","keywords":"Neocortex; Amplitude; Coupling (piping); Phase (matter); Neuroscience; Physics; Materials science; Psychology; Optics; Quantum mechanics","score_opus":0.030326308505619966,"score_gpt":0.2949444157127307,"score_spread":0.26461810720711076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995682276","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961106,0.00001563504,0.0024022998,0.0003371602,0.00091095286,0.000090058085,0.0000015282989,0.000015078087,0.00011668905],"genre_scores_gemma":[0.99883646,0.000041741234,0.000028719642,0.0009159094,0.000067402325,0.0000010262735,1.0770284e-7,0.000011376184,0.00009726264],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998507,0.00008177957,0.00046447644,0.00032776574,0.00035823204,0.00026071843],"domain_scores_gemma":[0.9989605,0.00021468588,0.00049905427,0.00014763138,0.00005106801,0.0001270438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005053953,0.00013475836,0.00023564529,0.00026299056,0.00018110935,0.00014467619,0.00034296053,0.00004410612,0.0000047532085],"category_scores_gemma":[0.0010219463,0.00011168489,0.000052366275,0.00044830854,0.00022953282,0.00046861867,0.00008521968,0.00041980043,0.000001835888],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003160742,0.00018063464,0.0021907412,0.000009369519,2.9096736e-7,0.00012041676,0.000049255115,0.000707993,0.99440384,0.0004911308,0.000032947326,0.00178175],"study_design_scores_gemma":[0.0057058805,0.0064558918,0.1734041,0.0005151597,0.000027779484,0.0029790269,0.00011835679,0.74496,0.059047535,0.0026848537,0.0034855858,0.0006158467],"about_ca_topic_score_codex":0.0000041078415,"about_ca_topic_score_gemma":0.000004585669,"teacher_disagreement_score":0.9353563,"about_ca_system_score_codex":0.000041557327,"about_ca_system_score_gemma":0.000022689252,"threshold_uncertainty_score":0.45543775},"labels":[],"label_agreement":null},{"id":"W1995898286","doi":"10.1163/15685241-12341304","title":"A Bayesian and Emergent View of the Brain","year":2014,"lang":"en","type":"article","venue":"KronoScope","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Nautical Research Society","funders":"","keywords":"Consciousness; Computer science; Cognitive science; Bayesian probability; Information processing; Information theory; Teleology; Entropy (arrow of time); Visual cortex; Mechanism (biology); Artificial intelligence; Cognitive psychology; Psychology; Epistemology; Physics; Neuroscience; Mathematics; Philosophy","score_opus":0.014845368634375515,"score_gpt":0.24075970182796955,"score_spread":0.22591433319359402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995898286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.986415,0.00003828755,0.0010631237,0.005671994,0.00059717445,0.00018526334,0.00000386924,0.000019273619,0.0060059666],"genre_scores_gemma":[0.99725604,0.000022029728,0.000027553386,0.0018808804,0.000027421982,0.0000034404568,2.0454934e-7,0.0000057948637,0.00077664],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994815,0.00009065914,0.00009793723,0.00014982364,0.000089401365,0.00009065697],"domain_scores_gemma":[0.999659,0.00008341438,0.000046967274,0.00017458804,0.000006821981,0.00002923091],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000106172374,0.000053621057,0.00007077537,0.0000142621775,0.00007079332,0.00001174922,0.000109997316,0.000016658023,0.00006197251],"category_scores_gemma":[0.00022688287,0.000033643446,0.000026450862,0.0001088411,0.00006325063,0.000039838444,0.00006438455,0.000050489416,0.00000880703],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002130454,0.000047773694,0.0019742874,0.00005545575,0.000002569513,5.141364e-7,0.00013860113,0.000033127108,0.9018126,0.041066434,0.003547891,0.051299445],"study_design_scores_gemma":[0.00093236583,0.00076596637,0.051335517,0.00014416267,0.000025620484,0.000024696361,0.000030064246,0.05456275,0.5647119,0.01426076,0.31279996,0.0004062294],"about_ca_topic_score_codex":0.000011075785,"about_ca_topic_score_gemma":0.00001743086,"teacher_disagreement_score":0.33710068,"about_ca_system_score_codex":0.000004680411,"about_ca_system_score_gemma":0.0000069292278,"threshold_uncertainty_score":0.137194},"labels":[],"label_agreement":null},{"id":"W1996026396","doi":"10.1103/physreve.72.051917","title":"Delayed excitatory and inhibitory feedback shape neural information transmission","year":2005,"lang":"en","type":"article","venue":"Physical Review E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Negative feedback; Feedback loop; Transfer function; Sensory system; Information transmission; Computer science; Neuroscience; Information transfer; Biological neural network; Positive feedback; Control theory (sociology); Information theory; Artificial neural network; Physics; Mathematics; Artificial intelligence; Biology; Telecommunications; Voltage","score_opus":0.01899036879578999,"score_gpt":0.2728887130051437,"score_spread":0.25389834420935375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996026396","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903271,0.0028628914,0.00021540506,0.0038786326,0.00013186995,0.0004340565,0.00000806038,0.00009569879,0.0020462573],"genre_scores_gemma":[0.98448944,0.0060748607,0.00004542113,0.00916357,0.00015928218,0.00001581808,0.000005915223,0.000007928892,0.000037737544],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991958,0.00006769525,0.00020612642,0.00017442652,0.00020638313,0.0001495302],"domain_scores_gemma":[0.9995987,0.00009619346,0.00007465491,0.00010803319,0.000020865535,0.00010156358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000828626,0.00011702598,0.00016966912,0.000026759635,0.000088702785,0.000033463744,0.00007141674,0.000018972574,0.00003834938],"category_scores_gemma":[0.00009836482,0.00008927494,0.0000761943,0.00014891777,0.00005032946,0.0008110727,0.000028340592,0.00014894943,0.00015134522],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001878567,0.000049831895,0.000005133625,0.00034005966,0.000001233442,9.51082e-7,0.000068474124,0.000016414537,0.11688814,0.0016407502,0.001325214,0.879645],"study_design_scores_gemma":[0.000867142,0.00037798402,0.0025841913,0.0009317519,0.00007137758,0.00004485338,0.000009174317,0.45780182,0.0201333,0.0020221283,0.51456136,0.00059495016],"about_ca_topic_score_codex":0.0000013398037,"about_ca_topic_score_gemma":2.7673042e-7,"teacher_disagreement_score":0.8790501,"about_ca_system_score_codex":0.000018954648,"about_ca_system_score_gemma":0.00001013457,"threshold_uncertainty_score":0.36405262},"labels":[],"label_agreement":null},{"id":"W1996123272","doi":"10.1016/j.pneurobio.2009.06.002","title":"Coupling of mesoscopic brain oscillations: Recent advances in analytical and theoretical perspectives","year":2009,"lang":"en","type":"review","venue":"Progress in Neurobiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":70,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Oscillation (cell signaling); Context (archaeology); Mesoscopic physics; Neuroscience; Coupling (piping); Brain function; Representation (politics); Computer science; Physics; Cognitive science; Psychology; Biology","score_opus":0.03850100231782826,"score_gpt":0.3708275569206836,"score_spread":0.3323265546028553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996123272","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036601368,0.9948426,0.0000058023106,0.00048048975,0.00017156277,0.00062888756,0.000014501479,0.000021845472,0.00017417083],"genre_scores_gemma":[0.011407782,0.9883821,0.00003349011,0.00006825276,0.000032805434,0.000042384898,0.000007633441,0.000017425873,0.000008103489],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978847,0.00034082236,0.00061318744,0.0007522025,0.000098468634,0.00031061954],"domain_scores_gemma":[0.99807686,0.0014111392,0.0002412812,0.0002009294,0.000026278984,0.000043497268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028864385,0.00026530787,0.0010102551,0.00039755975,0.00003450224,0.000019305902,0.00021389207,0.00022390648,0.000020923626],"category_scores_gemma":[0.0011557662,0.00020369764,0.00008650291,0.00064653845,0.0009511614,0.00008030744,0.000108176355,0.00051012886,0.0000017842074],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029092174,0.00015419358,0.000524424,0.0010845027,0.0000033184917,0.000030741703,0.00004248796,0.000025470052,0.000012738067,0.15663564,0.000003747616,0.8414537],"study_design_scores_gemma":[0.0022164306,0.0034567034,0.0018949101,0.016713476,0.00029354676,0.00058392284,0.00013986375,0.029304093,0.00008122135,0.03474559,0.908459,0.0021112629],"about_ca_topic_score_codex":3.2010584e-7,"about_ca_topic_score_gemma":0.000004033452,"teacher_disagreement_score":0.90845525,"about_ca_system_score_codex":0.00005347826,"about_ca_system_score_gemma":0.000060955634,"threshold_uncertainty_score":0.8306548},"labels":[],"label_agreement":null},{"id":"W1996196481","doi":"10.1073/pnas.1400181111","title":"Time-resolved resting-state brain networks","year":2014,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":838,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre","funders":"National Institute of Mental Health","keywords":"Functional magnetic resonance imaging; Resting state fMRI; Neuroscience; Brain activity and meditation; State (computer science); Computer science; Scale (ratio); Human brain; Dynamic functional connectivity; Statistical physics; Physics; Psychology; Algorithm; Electroencephalography; Quantum mechanics","score_opus":0.037203032051494334,"score_gpt":0.2816598445452849,"score_spread":0.2444568124937906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996196481","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9754773,0.000008419172,0.000021897089,0.0078395065,0.000050914954,0.0001587224,0.0000051114757,0.000029735276,0.016408399],"genre_scores_gemma":[0.9966166,0.000004576901,0.00022735666,0.0019925104,0.00008429741,0.000003688666,4.333445e-8,0.00000441576,0.0010664831],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983667,0.000017225626,0.00026192368,0.00028952907,0.00088943704,0.00017516896],"domain_scores_gemma":[0.99886966,0.00058921095,0.00038673938,0.000008047985,0.000112039634,0.00003430271],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015393043,0.0000838311,0.00011447152,0.00010428727,0.00026853508,0.000037083202,0.0007350984,0.000048247497,0.00001017963],"category_scores_gemma":[0.0036252285,0.000054527853,0.00006103636,0.00081168546,0.0008862611,0.00033465505,0.0001473902,0.00016657246,0.0000034855977],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012457601,0.000016913593,0.00039944914,0.000011747528,0.0000011705046,2.465984e-9,0.000026175094,0.0032631082,0.95769393,0.03576915,0.00171975,0.0010861276],"study_design_scores_gemma":[0.00019153542,0.00009923464,0.011644358,0.00006987578,0.000004186549,0.00000970195,0.0000086482405,0.4633565,0.4472712,0.07600807,0.0012179812,0.00011871309],"about_ca_topic_score_codex":0.0000017478804,"about_ca_topic_score_gemma":3.00315e-8,"teacher_disagreement_score":0.51042277,"about_ca_system_score_codex":0.000015245778,"about_ca_system_score_gemma":0.000011050288,"threshold_uncertainty_score":0.4339999},"labels":[],"label_agreement":null},{"id":"W1996302727","doi":"10.1016/j.neuroscience.2012.11.060","title":"Influence of asymmetric attenuation of single and paired dendritic inputs on summation of synaptic potentials and initiation of action potentials","year":2013,"lang":"en","type":"article","venue":"Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Dendritic spike; Soma; Neuroscience; Action potential; Stimulus (psychology); Axon; Sodium channel; Stimulation; Electrophysiology; Neuron; Attenuation; Synaptic potential; Chemistry; Biophysics; Excitatory postsynaptic potential; Physics; Biology; Inhibitory postsynaptic potential; Sodium; Psychology; Optics","score_opus":0.044912547490508534,"score_gpt":0.2607964172535892,"score_spread":0.21588386976308066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996302727","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980788,0.000010845943,0.0012152744,0.000116437164,0.00016264315,0.00034692025,0.000014167347,0.000012298544,0.000042593798],"genre_scores_gemma":[0.9996965,0.00007964788,0.00006879764,0.00012379035,0.000006813696,0.000006926483,0.0000015187146,0.000007042697,0.000008985514],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99840885,0.00017135055,0.00050813047,0.00031955616,0.00045930833,0.00013281814],"domain_scores_gemma":[0.9985375,0.00036606178,0.00066921324,0.00017059802,0.00021292038,0.000043705208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026049546,0.000104927494,0.00022490128,0.00040886962,0.00006562376,0.000024190413,0.000119006945,0.000056209694,0.0000026057803],"category_scores_gemma":[0.002329906,0.00009879878,0.000032172335,0.0008334734,0.00034628334,0.00071448344,0.000054290398,0.00006182143,8.419794e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019427342,0.000102067774,0.0032305985,0.00012978722,8.995718e-7,3.8970649e-7,0.00004693736,0.0018228635,0.98986757,0.0005377691,0.000001856636,0.0042398274],"study_design_scores_gemma":[0.00017997339,0.0005303958,0.29102623,0.00006586291,0.000012044555,0.000007845003,0.000010538472,0.010783674,0.6967404,0.00058615685,8.5307397e-7,0.00005605808],"about_ca_topic_score_codex":0.00006153832,"about_ca_topic_score_gemma":0.000002720105,"teacher_disagreement_score":0.2931272,"about_ca_system_score_codex":0.000014318948,"about_ca_system_score_gemma":0.000022312297,"threshold_uncertainty_score":0.40288973},"labels":[],"label_agreement":null},{"id":"W1996364127","doi":"10.1016/j.jneumeth.2005.03.006","title":"Decomposing rhythmic hippocampal data to obtain neuronal correlates","year":2005,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Toronto Western Hospital","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rhythm; Hippocampal formation; Local field potential; Interneuron; Neuroscience; Biological system; Inhibitory postsynaptic potential; Computer science; Biology; Physics; Acoustics","score_opus":0.15719668149296145,"score_gpt":0.4217180310185201,"score_spread":0.26452134952555867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996364127","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.847286,0.0000368854,0.14177087,0.0059370203,0.00448919,0.00018496942,0.000014452099,0.00004093532,0.00023966977],"genre_scores_gemma":[0.8580495,0.000066259396,0.12925464,0.01164647,0.00067770854,0.0000016678179,5.7808785e-7,0.000032866523,0.0002702874],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964374,0.00092337833,0.00074273406,0.000660808,0.0007396465,0.0004960792],"domain_scores_gemma":[0.9972169,0.001182513,0.0005098016,0.00061910413,0.00009730172,0.00037440393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026437994,0.00022323619,0.00033134304,0.00039188846,0.00032750363,0.00027760965,0.0016901001,0.00005476809,0.000024061186],"category_scores_gemma":[0.006373738,0.0001805066,0.00011746872,0.0010589472,0.00018115185,0.0013835287,0.00052585144,0.00061534095,0.000023405893],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006108299,0.00007031436,0.00010329082,0.0000031025709,7.1142e-7,0.000057152334,0.000049192524,0.004628579,0.8964145,0.00021002184,0.0005096743,0.09789235],"study_design_scores_gemma":[0.00093905436,0.0017491601,0.018706312,0.000091527516,0.000054053904,0.0074286815,0.000041523934,0.47696823,0.3245871,0.0018003951,0.16693953,0.00069444766],"about_ca_topic_score_codex":0.0000013111676,"about_ca_topic_score_gemma":0.0000013054133,"teacher_disagreement_score":0.5718274,"about_ca_system_score_codex":0.00007394701,"about_ca_system_score_gemma":0.00014475123,"threshold_uncertainty_score":0.763042},"labels":[],"label_agreement":null},{"id":"W1996392309","doi":"10.1017/s0140525x03330092","title":"The unified electrical field","year":2003,"lang":"en","type":"article","venue":"Behavioral and Brain Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Perspective (graphical); Field (mathematics); Focus (optics); Perception; Electrophysiology; Local field potential; Computer science; Neuroscience; Biology; Physics; Artificial intelligence; Mathematics; Optics","score_opus":0.06429474155080098,"score_gpt":0.3183992775277776,"score_spread":0.2541045359769766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996392309","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916509,0.000039473107,0.000038988488,0.0042095752,0.00029390331,0.00008837795,7.610488e-7,0.000028381359,0.003649638],"genre_scores_gemma":[0.99633014,0.000029605128,0.00006767131,0.0017280739,0.000018787538,0.0000060902476,9.8354285e-8,0.000002394114,0.001817152],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99908125,0.000102069695,0.000099281744,0.00026359284,0.00021549345,0.0002383006],"domain_scores_gemma":[0.9992292,0.0005894308,0.000032263535,0.00008333709,0.000010160825,0.00005559088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036436933,0.00007062074,0.000055824705,0.000030188667,0.0009383957,0.00021412862,0.0001716724,0.000030188481,0.000021432548],"category_scores_gemma":[0.00044648926,0.000038476916,0.000026389147,0.00039232336,0.0003187018,0.0001274366,0.000025620971,0.00009743497,0.000007859061],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017305518,0.00007852761,0.0055422075,0.0000013604777,4.7640998e-7,0.000013266823,0.00006679733,0.0000026835744,0.5649503,0.34421653,0.0028682763,0.082242265],"study_design_scores_gemma":[0.0008351795,0.0035743364,0.014061366,0.00001660907,0.000021856711,0.00036687005,0.00045332772,0.0026436942,0.6743491,0.072675966,0.23016809,0.00083356176],"about_ca_topic_score_codex":0.000016901564,"about_ca_topic_score_gemma":0.000015414884,"teacher_disagreement_score":0.27154055,"about_ca_system_score_codex":0.00000563025,"about_ca_system_score_gemma":0.000028692046,"threshold_uncertainty_score":0.7217476},"labels":[],"label_agreement":null},{"id":"W1996725339","doi":"10.1016/j.neuroscience.2014.03.027","title":"Synergistic activity between primary visual neurons","year":2014,"lang":"en","type":"article","venue":"Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Université de Montréal","funders":"","keywords":"Neuroscience; Neuron; Stimulus (psychology); Facilitation; Inhibitory postsynaptic potential; Visual cortex; Sensory system; Electrophysiology; Excitatory postsynaptic potential; Biology; Psychology","score_opus":0.03433213412628328,"score_gpt":0.2777694644342301,"score_spread":0.24343733030794684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996725339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9789019,8.404995e-7,0.011634055,0.0006521436,0.0013927128,0.00016317378,0.000011140139,0.00022724099,0.0070167487],"genre_scores_gemma":[0.99454594,0.000005876338,0.000025957068,0.0042309193,0.00020504699,0.00000972769,0.0000010346781,0.000023411883,0.00095209054],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99757105,0.00027139645,0.00018533717,0.00089932705,0.0005740675,0.0004988043],"domain_scores_gemma":[0.9986546,0.00062480976,0.000120529716,0.00037863237,0.000021444,0.00019996434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002454038,0.00020280614,0.00020283696,0.00011912394,0.00046235183,0.00016550801,0.00052546745,0.000053736716,0.000012294289],"category_scores_gemma":[0.0018090769,0.00018254218,0.00007494827,0.00068067724,0.0003688036,0.00044321222,0.00022280605,0.00030411952,0.000091845395],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008990429,0.000055930996,0.00179562,0.000008906465,1.3711092e-7,0.000012306063,0.000005226296,0.00008405523,0.97924995,0.0015257569,0.00007837081,0.01717476],"study_design_scores_gemma":[0.00043478422,0.0008895536,0.54531527,0.000015348762,0.000018105766,0.000051325882,0.0000012091706,0.060477626,0.37276462,0.0013441708,0.018104805,0.0005831879],"about_ca_topic_score_codex":0.000009693564,"about_ca_topic_score_gemma":0.0000013855807,"teacher_disagreement_score":0.6064853,"about_ca_system_score_codex":0.000037013277,"about_ca_system_score_gemma":0.00004381709,"threshold_uncertainty_score":0.74438536},"labels":[],"label_agreement":null},{"id":"W1996930192","doi":"10.1073/pnas.1009433107","title":"Successive-signal biasing for a learned sound sequence","year":2010,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Program for New Century Excellent Talents in University; Canadian Institutes of Health Research; Fundamental Research Funds for the Central Universities; National Institutes of Health; Shanghai Rising-Star Program","keywords":"Stimulus (psychology); Biasing; Speech sound; Neuroscience; Audiology; Communication; Psychology; Physics; Medicine; Cognitive psychology; Voltage","score_opus":0.1341276723310535,"score_gpt":0.35823609082761043,"score_spread":0.22410841849655694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996930192","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937565,0.0000035632256,0.000014826599,0.0041268743,0.00007267118,0.00019826661,0.0000213522,0.00001402866,0.0017919366],"genre_scores_gemma":[0.998132,0.000003794284,0.0009519049,0.00058295345,0.000095858275,0.000010838097,4.6427402e-8,0.000003915308,0.00021869478],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985301,0.000004798496,0.00022064011,0.00029356778,0.0007919073,0.00015901528],"domain_scores_gemma":[0.9989041,0.00048131795,0.00038666802,0.0000064102423,0.00019187473,0.000029599685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089960126,0.00007656798,0.00009551452,0.000119553326,0.00038984456,0.000058688714,0.0007464288,0.00006355693,0.000014152172],"category_scores_gemma":[0.0021858076,0.0000501062,0.00007413068,0.00060929125,0.001080253,0.00058905786,0.00006920921,0.00020600537,8.905688e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000127241765,0.000014826652,0.00070830324,0.000024328427,8.881564e-7,2.2574715e-9,0.000036184716,0.000045426605,0.86299217,0.13562971,0.000051048697,0.00048436542],"study_design_scores_gemma":[0.00010797081,0.000042320768,0.0026775706,0.000019625535,0.0000040501736,0.000010213983,0.000019271572,0.016947057,0.75878304,0.22119181,0.00013738009,0.00005968777],"about_ca_topic_score_codex":0.0000023117116,"about_ca_topic_score_gemma":1.106302e-7,"teacher_disagreement_score":0.104209155,"about_ca_system_score_codex":0.0000132954465,"about_ca_system_score_gemma":0.000028812725,"threshold_uncertainty_score":0.39802375},"labels":[],"label_agreement":null},{"id":"W1997279573","doi":"10.1016/j.neucom.2011.01.025","title":"Pulsed magnetic field exposure induces lasting changes in neural network dynamics","year":2011,"lang":"en","type":"article","venue":"Neurocomputing","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge; St Joseph's Health Care; Lawson Health Research Institute","funders":"Stem Cell Network; Lawson Health Research Institute","keywords":"Neuroscience; Transduction (biophysics); Stimulation; Computer science; Biology; Biophysics","score_opus":0.039809319949079096,"score_gpt":0.2312289550858104,"score_spread":0.1914196351367313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997279573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99353814,0.000024937784,0.00016741744,0.00039366816,0.0012248905,0.00024526427,0.0000014205798,0.00016199723,0.004242258],"genre_scores_gemma":[0.9966956,0.000007776626,0.00022054065,0.0026095768,0.00032673927,0.000009642198,0.0000016167836,0.00003141854,0.00009712937],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982193,0.00017506324,0.00029299216,0.00054708385,0.00019649464,0.0005690661],"domain_scores_gemma":[0.99906,0.00050315633,0.00014129133,0.00020149251,0.000020079513,0.00007399669],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017476612,0.00020924883,0.00019491748,0.00012527764,0.00020616622,0.00007087042,0.00030341474,0.00009186095,0.0000450306],"category_scores_gemma":[0.00032055867,0.00020503708,0.00004920874,0.0005758858,0.00003552754,0.00012883246,0.00020181327,0.0004739593,0.000011137714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019469901,0.00026485068,0.08306554,0.0001198428,0.0000043074083,0.00072885567,0.0013711767,0.019713929,0.24224205,0.002728286,0.0001840804,0.64938235],"study_design_scores_gemma":[0.00055948744,0.0011044167,0.060929004,0.00008982907,0.00000846436,0.000105326886,0.00007102952,0.9254386,0.010425115,0.00074314844,0.00010434552,0.00042126022],"about_ca_topic_score_codex":0.00005599268,"about_ca_topic_score_gemma":0.0002603014,"teacher_disagreement_score":0.90572464,"about_ca_system_score_codex":0.000026192241,"about_ca_system_score_gemma":0.000011553859,"threshold_uncertainty_score":0.83611697},"labels":[],"label_agreement":null},{"id":"W1997489422","doi":"10.3791/50131","title":"Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy","year":2013,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital","funders":"","keywords":"Neuroimaging; Computer science; Electroencephalography; SIGNAL (programming language); Artificial neural network; Artificial intelligence; Entropy (arrow of time); Nonlinear system; Sensitivity (control systems); Spectral density; Pattern recognition (psychology); Neuroscience; Machine learning; Psychology; Physics","score_opus":0.02657316274005296,"score_gpt":0.3800819664403579,"score_spread":0.35350880370030496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997489422","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99279684,0.000337361,0.005489497,0.00032314542,0.0005080531,0.00036473828,0.000016739183,0.000016147322,0.00014750019],"genre_scores_gemma":[0.99857616,0.00018014014,0.0008328334,0.00016849177,0.000040373503,0.000006727357,0.0000049025953,0.000017873128,0.00017247802],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99845517,0.000127888,0.0006207589,0.00025477458,0.0003497465,0.00019166993],"domain_scores_gemma":[0.9988596,0.000077510624,0.0005854797,0.0002727737,0.00008043428,0.0001242253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016301297,0.00013020061,0.0002520156,0.00014298425,0.000097374206,0.00008155868,0.00033833768,0.000039194172,0.00018419337],"category_scores_gemma":[0.00010869929,0.0001081176,0.00007662708,0.00018613788,0.00009511005,0.00067983294,0.000157029,0.00016663651,0.000014974613],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039647224,0.00026753393,0.00034283326,0.0000067688025,0.000017468114,0.0000083466075,0.00011111252,0.000009218322,0.99652547,0.0005580384,0.00044973684,0.0016638174],"study_design_scores_gemma":[0.0048898337,0.00061179535,0.011012211,0.00008377586,0.00007412511,0.00045294556,0.00035073864,0.02280221,0.95325494,0.0022648785,0.0038603863,0.0003421509],"about_ca_topic_score_codex":0.000025725572,"about_ca_topic_score_gemma":1.921495e-7,"teacher_disagreement_score":0.04327053,"about_ca_system_score_codex":0.00002364602,"about_ca_system_score_gemma":0.000023802524,"threshold_uncertainty_score":0.4408908},"labels":[],"label_agreement":null},{"id":"W1997520068","doi":"10.1016/j.heares.2013.05.012","title":"Influence of inter-field communication on neuronal response synchrony across auditory cortex","year":2013,"lang":"en","type":"article","venue":"Hearing Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Neuroscience; Auditory cortex; Receptive field; Sensory system; Stimulus (psychology); Premovement neuronal activity; Local field potential; Cortical neurons; Context (archaeology); Visual cortex; Electrophysiology; Biology; Psychology","score_opus":0.08437050777277767,"score_gpt":0.3919010877700035,"score_spread":0.30753057999722583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997520068","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969365,0.0000054754196,0.000016057336,0.0019112242,0.00011145311,0.00028248248,0.0000032036307,0.00003616688,0.0006974338],"genre_scores_gemma":[0.9982313,0.000031447882,0.000021137143,0.00055335887,0.00003800348,0.0000443829,7.738395e-7,0.000014582832,0.0010650266],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9977372,0.00078588194,0.00021760762,0.0003171917,0.000560384,0.0003816949],"domain_scores_gemma":[0.99538165,0.0036932942,0.000057920766,0.0006343358,0.00014536045,0.000087453736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012527095,0.00008448177,0.000107101725,0.0001425979,0.00033678787,0.00009895083,0.00048029586,0.00006837097,0.00006966925],"category_scores_gemma":[0.0038650318,0.00007735362,0.000037544818,0.00036096585,0.00029098007,0.00024166015,0.0004051293,0.0007351312,0.0003331597],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039256108,0.00007592699,0.0012961323,0.000020390109,0.00000127117,0.0000040687755,0.00017243075,0.00030882456,0.99149853,0.00034438577,0.0017504853,0.0041350075],"study_design_scores_gemma":[0.00037525472,0.0014395305,0.7244239,0.00021656175,0.0000010938635,0.000014809911,0.000105682346,0.0101533,0.25876138,0.001046607,0.0032967022,0.00016522431],"about_ca_topic_score_codex":0.00041712922,"about_ca_topic_score_gemma":0.000014334795,"teacher_disagreement_score":0.7327371,"about_ca_system_score_codex":0.00007970315,"about_ca_system_score_gemma":0.00005990462,"threshold_uncertainty_score":0.46270832},"labels":[],"label_agreement":null},{"id":"W1997537426","doi":"10.1152/jn.00059.2006","title":"Properties of Correlated Neural Activity Clusters in Cat Auditory Cortex Resemble Those of Neural Assemblies","year":2006,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Auditory cortex; Stimulus (psychology); Receptive field; Neuroscience; Tonotopy; Electrophysiology; Neural activity; Local field potential; Neuron; Neurophysiology; Psychology","score_opus":0.034801575354889376,"score_gpt":0.2588802056235504,"score_spread":0.22407863026866104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997537426","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99748427,0.000023860077,0.0000071035756,0.00024764345,0.0019958308,0.00013853141,0.000005010975,0.000010825185,0.00008692739],"genre_scores_gemma":[0.9994524,0.000062506406,0.000010681122,0.00014682823,0.00017446201,0.000001696989,5.6339366e-7,0.000020398184,0.00013042359],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9979153,0.0005323532,0.000723774,0.00025086917,0.00030444807,0.00027323645],"domain_scores_gemma":[0.99829215,0.00030395252,0.0009855909,0.0002075382,0.00016220438,0.00004853934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009156385,0.00018160122,0.0005338631,0.00035117753,0.000055131182,0.000012863597,0.0003225645,0.000098164375,0.0000060625357],"category_scores_gemma":[0.0003829159,0.00013652547,0.00017813547,0.00042069692,0.0003064938,0.0003464512,0.000106860396,0.00043548574,0.0000017823794],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001047198,0.0003006634,0.00035517756,0.000053562853,0.000004637378,0.00010237094,0.000048771748,0.022669218,0.9748946,0.000027509517,0.00011066237,0.00038562575],"study_design_scores_gemma":[0.0017259292,0.0034721678,0.42892322,0.00014444398,0.000039649392,0.00038862764,0.00006706566,0.15457939,0.41001886,0.00028972147,0.00007469604,0.00027622786],"about_ca_topic_score_codex":0.0001270647,"about_ca_topic_score_gemma":0.000015100459,"teacher_disagreement_score":0.5648757,"about_ca_system_score_codex":0.00003996527,"about_ca_system_score_gemma":0.000071020324,"threshold_uncertainty_score":0.55673474},"labels":[],"label_agreement":null},{"id":"W1997722418","doi":"10.1007/s10827-011-0313-4","title":"In vivo conditions influence the coding of stimulus features by bursts of action potentials","year":2011,"lang":"en","type":"article","venue":"Journal of Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"William Osler Health System; McGill University","funders":"Canadian Institutes of Health Research","keywords":"Stimulus (psychology); Bursting; In vivo; Neuroscience; Electric fish; Stimulation; Neural coding; Sensory system; Electrophysiology; Physics; Biology; Psychology; Cognitive psychology","score_opus":0.04104396509895564,"score_gpt":0.3027882839221808,"score_spread":0.2617443188232252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997722418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99442625,0.000011729436,0.0042214226,0.00045486793,0.0006372064,0.000097258104,0.000031032705,0.000003901026,0.000116305506],"genre_scores_gemma":[0.9990125,0.000029994808,0.00016718113,0.0007263541,0.000019263955,0.0000010580507,2.3992007e-7,0.00000464588,0.000038794515],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984991,0.00014344839,0.0004965129,0.0001499914,0.00058506086,0.00012590646],"domain_scores_gemma":[0.99844056,0.00046509487,0.00075884996,0.00008471537,0.00020480051,0.000045956982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032959052,0.000082703606,0.00015766153,0.00019816378,0.00011155404,0.000028156595,0.0003644803,0.000026768883,0.00002582872],"category_scores_gemma":[0.0007157485,0.000059721428,0.000072022376,0.0005729282,0.00044371185,0.0006383176,0.000041547268,0.00018809884,5.3886333e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048121772,0.000109703244,0.00039715625,0.000009201285,9.372455e-7,0.00001044698,0.00012291147,0.07028785,0.92211103,0.0064489655,0.0003465474,0.00010713213],"study_design_scores_gemma":[0.00057977426,0.0005871733,0.15197644,0.00008989574,0.00001637426,0.00051402475,0.0000642167,0.027296325,0.79130703,0.02731436,0.00012212888,0.00013228212],"about_ca_topic_score_codex":0.000016292634,"about_ca_topic_score_gemma":0.0000014079951,"teacher_disagreement_score":0.15157928,"about_ca_system_score_codex":0.000020303873,"about_ca_system_score_gemma":0.00008428215,"threshold_uncertainty_score":0.24353692},"labels":[],"label_agreement":null},{"id":"W1997755397","doi":"10.1007/s00221-011-2553-y","title":"Nonrenewal spike train statistics: causes and functional consequences on neural coding","year":2011,"lang":"en","type":"review","venue":"Experimental Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":75,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Spike (software development); Spike train; Bursting; Neuroscience; Neural coding; Computer science; Focus (optics); Information transmission; Sensory system; Refractory period; Nerve net; Artificial intelligence; Biology; Physics; Medicine","score_opus":0.37993804891404825,"score_gpt":0.46028787644290137,"score_spread":0.08034982752885311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997755397","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001406196,0.98781544,0.00004803185,0.00029191672,0.0016698625,0.0020491772,0.0009237304,0.0001361264,0.005659494],"genre_scores_gemma":[0.009055696,0.98449785,0.00010873431,0.00063319725,0.00049104437,0.00042519093,0.00015600113,0.000120484125,0.00451178],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9950927,0.0014364758,0.00051347335,0.001224454,0.00095961627,0.00077329244],"domain_scores_gemma":[0.9954379,0.0036960216,0.00016440166,0.00035746183,0.00005774664,0.0002864772],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008770846,0.00049483567,0.00076865737,0.00053606974,0.000698178,0.00032004016,0.0003829152,0.00022805073,0.0008593421],"category_scores_gemma":[0.0010491633,0.00039797978,0.00016770199,0.00045503053,0.0014098504,0.00017976011,0.00032091458,0.001073797,0.0002311269],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032415238,0.00066129724,0.0000037124462,0.0030271509,0.0000747571,0.0008647577,0.00058148766,0.0000023172313,0.087327845,0.14362791,0.027267141,0.73623747],"study_design_scores_gemma":[0.0006970143,0.0022560128,0.000019133278,0.0023487255,0.00003730601,0.00067236857,0.00035152293,0.000332822,0.0132737765,0.0013617113,0.9775953,0.0010542518],"about_ca_topic_score_codex":0.000107412736,"about_ca_topic_score_gemma":0.000015050727,"teacher_disagreement_score":0.95032823,"about_ca_system_score_codex":0.00024247743,"about_ca_system_score_gemma":0.00026267013,"threshold_uncertainty_score":0.99984723},"labels":[],"label_agreement":null},{"id":"W1997942270","doi":"10.1167/7.9.866","title":"Auditory noise can facilitate low-level visual processing","year":2010,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Sensory system; Noise (video); Neurophysiology; Auditory system; Auditory cortex; Stimulus modality; Stochastic resonance; Sensitivity (control systems); Computer science; Proprioception; Synchronization (alternating current); Neuroscience; Acoustics; Psychology; Physics; Computer vision; Telecommunications; Electronic engineering; Engineering","score_opus":0.03015535909629509,"score_gpt":0.2997569450046043,"score_spread":0.26960158590830924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997942270","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99572664,0.000008123029,0.00048657422,0.00067762745,0.002786491,0.000049635193,0.00000608496,0.000013233012,0.00024559518],"genre_scores_gemma":[0.998422,0.000014266153,0.00022446079,0.00032146863,0.0005671125,4.1977606e-7,3.8665843e-7,0.000010698336,0.00043915721],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989267,0.00004735694,0.000306855,0.0001482763,0.0004123842,0.00015840532],"domain_scores_gemma":[0.9992678,0.0000944835,0.00030773124,0.000083780775,0.00012815892,0.00011805563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030440217,0.00009571539,0.00013272447,0.00012979578,0.00015563643,0.000085636704,0.0001603905,0.000059120906,0.000040740862],"category_scores_gemma":[0.00046022478,0.00006944744,0.00008476736,0.00014616414,0.00006235512,0.00037300214,0.000036059857,0.00047919853,0.000019352892],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058043985,0.000077270925,0.00009781003,0.000014634826,8.310541e-7,0.000035526755,0.0000804337,0.000043361237,0.9409854,0.000017438771,0.00074809784,0.057841167],"study_design_scores_gemma":[0.0041185953,0.0041996646,0.29415104,0.0007071844,0.000068607165,0.0018482999,0.00023365194,0.08352873,0.5608119,0.0048269043,0.04441512,0.0010903605],"about_ca_topic_score_codex":0.0000033085328,"about_ca_topic_score_gemma":0.000009028287,"teacher_disagreement_score":0.38017353,"about_ca_system_score_codex":0.000028648452,"about_ca_system_score_gemma":0.00008816889,"threshold_uncertainty_score":0.28319842},"labels":[],"label_agreement":null},{"id":"W1998353612","doi":"10.1163/22134808-000s0117","title":"Amplified extrastriate visual cortical projections to the dorsal zone of auditory cortex following early- and late-onset deafness","year":2013,"lang":"en","type":"article","venue":"Multisensory Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Neuroscience; Psychology; Sensory system; Visual cortex; Auditory cortex; Stimulus modality; Extrastriate cortex; Biotinylated dextran amine; Neuroplasticity; Cortex (anatomy); Audiology; Central nervous system; Medicine","score_opus":0.10123174244220262,"score_gpt":0.3728942993524088,"score_spread":0.2716625569102062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998353612","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99700606,0.000008831437,0.00047266454,0.00055200385,0.00059449446,0.0011687874,0.000021226393,0.000047710975,0.00012822852],"genre_scores_gemma":[0.9976662,0.000011978255,0.00006280798,0.00008237332,0.00011784669,0.0001390028,0.000002280477,0.000024539999,0.0018930121],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9972637,0.000700016,0.00028790152,0.00049466966,0.00071723625,0.0005364633],"domain_scores_gemma":[0.9977426,0.0015843516,0.00004886808,0.00028930604,0.0001655013,0.0001693908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007199696,0.00013596489,0.00018793563,0.0002227362,0.0006455635,0.00016879682,0.00022851114,0.00008360291,0.000058301328],"category_scores_gemma":[0.0014434934,0.00009800366,0.00007138693,0.0006301574,0.0003281971,0.00017976853,0.00022509729,0.0005837102,0.00019540134],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000121365694,0.00012222616,0.0044665374,0.0000151727045,0.000009745399,0.00002349531,0.00030967637,0.000041087107,0.9885042,0.00009436693,0.00038970873,0.005902469],"study_design_scores_gemma":[0.0008086774,0.00060735486,0.92056787,0.00004222977,0.000013984735,0.000033080574,0.00035416408,0.04948788,0.026902745,0.00012077172,0.0008370688,0.00022414523],"about_ca_topic_score_codex":0.00073806435,"about_ca_topic_score_gemma":0.000050585328,"teacher_disagreement_score":0.9616014,"about_ca_system_score_codex":0.000046408924,"about_ca_system_score_gemma":0.000061326384,"threshold_uncertainty_score":0.49652177},"labels":[],"label_agreement":null},{"id":"W1998381716","doi":"10.1111/j.1460-9568.2006.05004.x","title":"Heterogeneity in low voltage‐activated Ca<sup>2+</sup> channel‐evoked Ca<sup>2+</sup> responses within neurons of the thalamic paraventricular nucleus","year":2006,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Health Canada; National Institutes of Health","keywords":"Soma; Neuroscience; Nucleus; Electrophysiology; Thalamus; Bursting; Chemistry; Patch clamp; Biophysics; Neuron; Biology","score_opus":0.0227272708272392,"score_gpt":0.23513307852254156,"score_spread":0.21240580769530237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998381716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969513,0.000032331092,0.0004913806,0.00075324706,0.0009158511,0.0004135005,0.00007303271,0.000042925232,0.00032646133],"genre_scores_gemma":[0.99764574,0.000049331928,0.000034964647,0.0015061622,0.00017447726,0.0000025208342,0.0000013034235,0.00007500519,0.0005104911],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9927566,0.0027919768,0.0014484132,0.00088483695,0.0013248591,0.0007933209],"domain_scores_gemma":[0.9970675,0.00044564324,0.001266893,0.0007974557,0.00018750559,0.00023500518],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001711098,0.00048396553,0.0005448557,0.0005421707,0.0004932161,0.00022850587,0.0018971981,0.00006522281,0.000014116544],"category_scores_gemma":[0.0025878896,0.00035084388,0.00038990797,0.002154744,0.00073741074,0.00072216324,0.00043360214,0.0010522149,0.000025047173],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021773066,0.0003028064,0.0006760769,0.000019241295,0.0000023938749,0.0013273475,0.00032466266,0.39026448,0.6065638,0.00004553805,0.00017164614,0.00008424088],"study_design_scores_gemma":[0.002560707,0.0016048127,0.120693356,0.0003858903,0.000057494235,0.0035450587,0.00022416751,0.59201485,0.276175,0.00031231434,0.0016433403,0.00078303955],"about_ca_topic_score_codex":0.00006394852,"about_ca_topic_score_gemma":0.000005029604,"teacher_disagreement_score":0.33038884,"about_ca_system_score_codex":0.00011771442,"about_ca_system_score_gemma":0.00018726682,"threshold_uncertainty_score":0.9998944},"labels":[],"label_agreement":null},{"id":"W1998407076","doi":"10.1162/jocn.2010.21521","title":"Sound Processing Hierarchy within Human Auditory Cortex","year":2010,"lang":"en","type":"article","venue":"Journal of Cognitive Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Deutsche Forschungsgemeinschaft","keywords":"Auditory cortex; Magnetoencephalography; Psychology; Auditory masking; Auditory perception; Perception; Sensory system; Masking (illustration); Auditory scene analysis; Auditory system; Computational auditory scene analysis; Audiology; Communication; Neuroscience; Electroencephalography; Speech recognition; Computer science","score_opus":0.035329702183594915,"score_gpt":0.3089211336158214,"score_spread":0.2735914314322265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998407076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910559,0.0000056823037,0.0020992646,0.00021984796,0.004741239,0.00012860393,0.000006803019,0.000029466759,0.0017131659],"genre_scores_gemma":[0.99655133,0.000006572158,0.00006002152,0.0023495213,0.00059867935,0.0000023420225,2.5685205e-7,0.000019161376,0.000412082],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978576,0.00012710884,0.00049043895,0.0003886947,0.0008182159,0.0003179473],"domain_scores_gemma":[0.9981577,0.00035994258,0.0007974057,0.00012201935,0.0003479728,0.00021498677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000567883,0.00017459775,0.00021058424,0.0002684269,0.0006037165,0.00028389896,0.00048588176,0.00006145885,0.000030094989],"category_scores_gemma":[0.0037977034,0.00013945973,0.0001069855,0.00057955785,0.00081012025,0.0010724353,0.000082567254,0.0010534038,0.000011146451],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004299532,0.000112099624,0.0005377157,0.00000725636,5.3506e-7,0.00014607483,0.00014160901,0.000017206885,0.99570215,0.0006458386,0.000066356726,0.002580164],"study_design_scores_gemma":[0.0028048314,0.0036206576,0.17369302,0.00038452074,0.000094118106,0.006230654,0.0003134412,0.01070927,0.7752311,0.022759544,0.0031024432,0.001056359],"about_ca_topic_score_codex":0.000001045602,"about_ca_topic_score_gemma":0.0000057934385,"teacher_disagreement_score":0.22047101,"about_ca_system_score_codex":0.000020075866,"about_ca_system_score_gemma":0.00018852153,"threshold_uncertainty_score":0.56870025},"labels":[],"label_agreement":null},{"id":"W1998662246","doi":"10.1016/j.conb.2012.02.001","title":"Cellular-based modeling of oscillatory dynamics in brain networks","year":2012,"lang":"en","type":"review","venue":"Current Opinion in Neurobiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Neuroscience; Perspective (graphical); Computer science; Population; Dynamics (music); Cognitive science; Computational model; Biology; Artificial intelligence; Psychology; Medicine","score_opus":0.15746192065438222,"score_gpt":0.35837930808828955,"score_spread":0.20091738743390733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998662246","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00041016948,0.9760058,0.002206077,0.000045490946,0.02015065,0.0009692325,0.00010171083,0.000046159195,0.00006472534],"genre_scores_gemma":[0.011300332,0.9877697,0.000008065871,0.000059116348,0.0003253608,0.00008053155,0.0003829447,0.00006581699,0.000008095929],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9960036,0.0011800968,0.0012149528,0.00084822543,0.00013587625,0.0006172056],"domain_scores_gemma":[0.99788916,0.0009579854,0.00057491194,0.00046904944,0.00002465386,0.00008424121],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004712059,0.0004840194,0.0013550774,0.00073091674,0.000041112795,0.000013996556,0.000507881,0.00047296652,0.000014792937],"category_scores_gemma":[0.00025738103,0.00043552418,0.00033138815,0.0008539533,0.00014517341,0.00008105115,0.00019744418,0.0012096245,0.000012673722],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065444285,0.00085689744,0.00051237055,0.0265713,0.000009196402,0.0000068074305,0.000021713486,0.07640935,0.00017170272,0.010643009,0.00018629288,0.8845459],"study_design_scores_gemma":[0.0003958134,0.00011024546,0.00000507859,0.005539463,0.000025964477,0.00001370793,0.0000018816676,0.7435144,0.000003376475,0.000077065546,0.24981587,0.0004971268],"about_ca_topic_score_codex":0.00000770793,"about_ca_topic_score_gemma":0.000011644489,"teacher_disagreement_score":0.8840488,"about_ca_system_score_codex":0.000271996,"about_ca_system_score_gemma":0.00015472263,"threshold_uncertainty_score":0.9998097},"labels":[],"label_agreement":null},{"id":"W1998794714","doi":"10.1038/nrn1668","title":"Neuronal variability: noise or part of the signal?","year":2005,"lang":"en","type":"review","venue":"Nature reviews. Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":693,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Sensory system; Neuroscience; Stimulus (psychology); Biology; Psychology; Cognitive psychology","score_opus":0.08714125663762737,"score_gpt":0.35093329964223824,"score_spread":0.2637920430046109,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998794714","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00001127726,0.9898906,0.00003959084,0.0003286923,0.005338444,0.0030349519,0.00019615752,0.0000778822,0.0010824355],"genre_scores_gemma":[0.000103241815,0.99198246,0.000040181574,0.0045111515,0.00047674612,0.0001381369,0.0000042008874,0.00006781718,0.002676093],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9921072,0.0023886375,0.001627715,0.001939879,0.00124586,0.0006906919],"domain_scores_gemma":[0.99467677,0.0015171795,0.0017131396,0.0018253932,0.00008009054,0.0001874261],"candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0015510636,0.00084071833,0.0022325958,0.0001914486,0.0003987254,0.00013901542,0.0030958573,0.00060465926,0.00013758887],"category_scores_gemma":[0.009302238,0.00041355626,0.0013591009,0.0035910609,0.00074553303,0.00033272646,0.0007335575,0.002923917,0.00007095792],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007082484,0.00012643919,0.00000143086,0.0044218823,0.0000014035202,0.000010557824,0.000003615233,0.0000034241182,0.0011855554,0.0012932209,0.0019587295,0.99098665],"study_design_scores_gemma":[0.000070305105,0.00009778441,0.00001253681,0.0042678835,0.00020736195,0.00023904916,1.6141162e-7,0.00011710551,0.00015405794,0.00006395397,0.9943687,0.00040112852],"about_ca_topic_score_codex":0.0000011391501,"about_ca_topic_score_gemma":0.0000022952686,"teacher_disagreement_score":0.99240994,"about_ca_system_score_codex":0.00011377109,"about_ca_system_score_gemma":0.0006849833,"threshold_uncertainty_score":0.9998316},"labels":[],"label_agreement":null},{"id":"W1999110283","doi":"10.1038/nature07832","title":"Decoding reveals the contents of visual working memory in early visual areas","year":2009,"lang":"en","type":"article","venue":"Nature","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1457,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Eye Institute; Natural Sciences and Engineering Research Council of Canada; Vanderbilt University","keywords":"Working memory; Visual memory; Visual cortex; Perception; Orientation (vector space); Functional magnetic resonance imaging; Visual short-term memory; Sensory system; Visual perception; Psychology; Cognitive psychology; Cognition; Task (project management); Computer science; Neuroscience; Mathematics","score_opus":0.02528552075710715,"score_gpt":0.29991402562028524,"score_spread":0.2746285048631781,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999110283","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996968,0.00009270956,0.0000101064725,0.00080125144,0.0004344343,0.00015734928,0.0000016077986,0.000021306265,0.0015132511],"genre_scores_gemma":[0.9961235,0.000014256119,0.000011225933,0.003501469,0.00008663931,0.0000018400093,9.616733e-7,0.000006620745,0.0002534846],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990844,0.00008820062,0.00017102268,0.00021747418,0.00025724433,0.00018166377],"domain_scores_gemma":[0.99954206,0.00020047686,0.0000975996,0.00010731292,0.000024482777,0.000028094762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018780945,0.0000904135,0.00012388878,0.00007791799,0.00007639073,0.00003483033,0.00017684272,0.00027031996,0.0000070243],"category_scores_gemma":[0.00044691877,0.000061680694,0.00005224308,0.00036046756,0.000032578933,0.000098973076,0.00002955213,0.001012715,0.0000039587476],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012947606,0.00011641341,0.016097503,0.0000069602966,0.0000023990438,0.000034988178,0.00021155209,0.00003509561,0.95270574,0.0026794667,0.00024324973,0.02773717],"study_design_scores_gemma":[0.0012237617,0.0005253589,0.7787795,0.00030732938,0.000014959266,0.000037824782,0.00011625916,0.008524895,0.20512064,0.0044477857,0.0005618511,0.0003398404],"about_ca_topic_score_codex":0.0000072770326,"about_ca_topic_score_gemma":0.000011376345,"teacher_disagreement_score":0.76268196,"about_ca_system_score_codex":0.000026315667,"about_ca_system_score_gemma":0.000008381218,"threshold_uncertainty_score":0.43997994},"labels":[],"label_agreement":null},{"id":"W1999155510","doi":"10.1523/jneurosci.6001-08.2009","title":"Differential Modulatory Influences between Primary Auditory Cortex and the Anterior Auditory Field","year":2009,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Auditory cortex; Neuroscience; Receptive field; Premovement neuronal activity; CATS; Cortex (anatomy); Psychology; Biology; Medicine","score_opus":0.016263367066373394,"score_gpt":0.2513854073090744,"score_spread":0.235122040242701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999155510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993264,0.000053787848,0.0004257015,0.0022458292,0.003708279,0.00011179748,0.0000029826112,0.000016977294,0.00017059775],"genre_scores_gemma":[0.9924267,0.00027397758,0.000017550454,0.006150236,0.0009866139,8.093828e-7,5.479718e-8,0.0000058461524,0.00013822399],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9982022,0.00019111444,0.00044796447,0.0002857564,0.0006327825,0.00024017935],"domain_scores_gemma":[0.998573,0.0005497028,0.0005080736,0.00018756605,0.000053781736,0.00012788994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032095893,0.00014875164,0.00028245858,0.00012643442,0.00034199993,0.00016961986,0.00055540504,0.000052080497,0.0000065839995],"category_scores_gemma":[0.0007918061,0.000089752524,0.0001190446,0.0002308099,0.0005447501,0.0005998979,0.00008650482,0.0004357543,0.0000017917091],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009759036,0.000032273758,0.00085218274,0.0000057444095,0.0000010277448,0.000040116563,0.00004667831,0.000017512528,0.98822093,0.00016430036,0.00045841892,0.010063249],"study_design_scores_gemma":[0.000980946,0.00097329135,0.9766778,0.000054105283,0.000027430291,0.00030785683,0.000008994512,0.0013854735,0.015941748,0.0015446779,0.0019292502,0.00016842049],"about_ca_topic_score_codex":0.0000015756108,"about_ca_topic_score_gemma":2.6649727e-7,"teacher_disagreement_score":0.9758256,"about_ca_system_score_codex":0.00002558235,"about_ca_system_score_gemma":0.000071523034,"threshold_uncertainty_score":0.36600018},"labels":[],"label_agreement":null},{"id":"W1999225239","doi":"10.1186/1471-2202-8-s2-p128","title":"Effect of T-channel distribution on firing pattern of the thalamocortical cell","year":2007,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Compartment (ship); Permeability (electromagnetism); Bursting; Biological system; Physics; Channel (broadcasting); Neuroscience; Biophysics; Chemistry; Computer science; Biology; Telecommunications","score_opus":0.021858836416183955,"score_gpt":0.2624052126707048,"score_spread":0.24054637625452086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999225239","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9883239,0.000002024355,0.009922707,0.000038435366,0.0009902751,0.0002601625,0.000021235732,0.000019940746,0.00042132087],"genre_scores_gemma":[0.9996641,0.0000022237282,0.0000020483096,0.00020461077,0.000024285264,0.0000032690962,4.611079e-7,0.0000072997345,0.00009169204],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99848557,0.00016362866,0.0002467777,0.0003573115,0.0004819541,0.0002647909],"domain_scores_gemma":[0.9986757,0.0007531381,0.00017338131,0.00032282853,0.00001949826,0.000055428314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005422115,0.000114242604,0.00012613097,0.000039796494,0.0001313184,0.000015936002,0.00039095234,0.000034857363,0.0000024242036],"category_scores_gemma":[0.0009942323,0.00007163608,0.000103006234,0.0005070302,0.00029239256,0.00008526463,0.00012763334,0.00014663229,0.0000036814527],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055000826,0.00006549983,0.00754575,0.00004618851,6.92009e-8,0.000002772183,0.000011192638,0.000544987,0.98935366,0.0002736313,0.000011350009,0.0020899035],"study_design_scores_gemma":[0.00018392509,0.0005752805,0.07285406,0.000022819419,0.00000410654,0.000008264837,0.0000018006259,0.011758389,0.9144471,0.0000569549,0.000026569161,0.000060685412],"about_ca_topic_score_codex":0.0000067597143,"about_ca_topic_score_gemma":0.0000036193157,"teacher_disagreement_score":0.074906506,"about_ca_system_score_codex":0.000019681758,"about_ca_system_score_gemma":0.000016928218,"threshold_uncertainty_score":0.29212347},"labels":[],"label_agreement":null},{"id":"W1999270514","doi":"10.1016/s0306-4522(02)00300-7","title":"The role of chloride-dependent inhibition and the activity of fast-spiking neurons during cortical spike–wave electrographic seizures","year":2002,"lang":"en","type":"article","venue":"Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":125,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Institute of Neurological Disorders and Stroke","keywords":"Inhibitory postsynaptic potential; Neuroscience; Depolarization; Excitatory postsynaptic potential; Postsynaptic potential; GABAergic; Spike-and-wave; Electrophysiology; Synaptic potential; Chemistry; Neurotransmission; Epilepsy; Biology; Biophysics; Receptor","score_opus":0.017094920101914633,"score_gpt":0.21412541032322555,"score_spread":0.19703049022131092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999270514","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99837583,0.000043332297,0.00009630039,0.00058147,0.0002743934,0.00027012927,0.00000651089,0.000031185577,0.00032084287],"genre_scores_gemma":[0.9993058,0.00038088026,0.0000020105003,0.00019427938,0.000027447924,0.000013809574,6.902275e-8,0.000010483944,0.000065214925],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99820924,0.00023789368,0.00025093407,0.00042752942,0.0005408415,0.0003335712],"domain_scores_gemma":[0.9987887,0.00058857386,0.00022395204,0.00030313857,0.00003510282,0.00006050392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000299847,0.00013892885,0.0001612104,0.000079760415,0.0007062019,0.00009762999,0.00023821475,0.000033255037,0.000003479837],"category_scores_gemma":[0.0009020034,0.000081864935,0.000083459745,0.0005940773,0.0012873803,0.00024986154,0.00017206173,0.00033752824,7.174627e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001109722,0.00005396497,0.0006254724,0.000007418411,5.3053105e-7,0.00000783149,0.00007025783,0.000075406286,0.9906257,0.005582638,9.672272e-7,0.002838854],"study_design_scores_gemma":[0.00043578123,0.00021508713,0.038476717,0.000011147467,0.000011294267,0.00017441032,0.000023889737,0.084925696,0.8744725,0.0010797363,0.00008024489,0.0000934925],"about_ca_topic_score_codex":0.00002671873,"about_ca_topic_score_gemma":0.000015253023,"teacher_disagreement_score":0.11615318,"about_ca_system_score_codex":0.000011150873,"about_ca_system_score_gemma":0.000010793784,"threshold_uncertainty_score":0.54316056},"labels":[],"label_agreement":null},{"id":"W1999324548","doi":"10.1016/j.neuron.2014.02.029","title":"Emergent Selectivity for Task-Relevant Stimuli in Higher-Order Auditory Cortex","year":2014,"lang":"en","type":"article","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":163,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; International Laboratory for Brain, Music and Sound Research; Montreal Neurological Institute and Hospital","funders":"National Institute on Deafness and Other Communication Disorders","keywords":"Auditory cortex; Neuroscience; Sensory system; Psychology; Tonotopy; Cognitive neuroscience of music","score_opus":0.0368564375012448,"score_gpt":0.2702389897996704,"score_spread":0.23338255229842564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999324548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98856837,0.000005206557,0.002242675,0.0017513417,0.0054108715,0.000487395,0.000014774258,0.00011311049,0.0014062735],"genre_scores_gemma":[0.9959753,0.000014838024,0.000047338275,0.0016949029,0.00037698835,0.000049325277,0.0000040645186,0.00002877368,0.0018084743],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99861825,0.00014148503,0.00019062763,0.00052451936,0.00020539307,0.0003197577],"domain_scores_gemma":[0.99923086,0.00036632645,0.00008216951,0.00021957068,0.000033449804,0.00006763532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014707707,0.00014881525,0.00015417532,0.000078709614,0.000113121976,0.000027140044,0.00014561582,0.000060038125,0.000060276067],"category_scores_gemma":[0.0005075918,0.00013816432,0.00005676989,0.00026364095,0.000041057174,0.00011651509,0.00004504536,0.00019104003,0.000045276938],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000084390806,0.00016267315,0.0004980227,0.000024047502,0.0000010759701,0.0000045855277,0.0000142730705,0.0009294597,0.9835379,0.0013952493,0.005392486,0.007955822],"study_design_scores_gemma":[0.002421425,0.002027554,0.24569416,0.0000269598,0.00002396751,0.000011387769,0.0000035741407,0.2870873,0.035259876,0.003595951,0.42315313,0.00069474726],"about_ca_topic_score_codex":0.000018822628,"about_ca_topic_score_gemma":0.000050518604,"teacher_disagreement_score":0.948278,"about_ca_system_score_codex":0.000046538127,"about_ca_system_score_gemma":0.000021778047,"threshold_uncertainty_score":0.5634178},"labels":[],"label_agreement":null},{"id":"W1999358386","doi":"10.1016/j.bbr.2007.10.035","title":"Dopamine tone increases similarly during predictable and unpredictable administration of rewarding brain stimulation at short inter-train intervals","year":2007,"lang":"en","type":"article","venue":"Behavioural Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Canadian Institutes of Health Research; Concordia University; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Neurochemical; Predictability; Tonic (physiology); Psychology; Neuroscience; Stimulation; Electrophysiology; Dopamine; Midbrain; Central nervous system; Mathematics","score_opus":0.10487786897983138,"score_gpt":0.3893667421383855,"score_spread":0.28448887315855415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999358386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966928,0.000046471334,0.000508698,0.0011460445,0.00013862594,0.00074995705,0.00010838353,0.000100128826,0.0005088994],"genre_scores_gemma":[0.99633366,0.000019958337,0.00012685316,0.0001051193,0.00011235447,0.000027129536,0.00007331924,0.000040969277,0.003160661],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99625945,0.00046316342,0.0007055879,0.00072505703,0.0010693534,0.00077739515],"domain_scores_gemma":[0.99717236,0.0018242403,0.00013265751,0.00035617634,0.00023025382,0.00028430906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036351816,0.00024071522,0.0003153866,0.0005521801,0.0005044106,0.00015681374,0.0003007258,0.00016586568,0.000119421384],"category_scores_gemma":[0.003549828,0.00023144149,0.00009084738,0.00075686496,0.00040324143,0.0006992986,0.0004625456,0.00050775683,0.000005954557],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008312548,0.0001718173,0.061250865,0.00008440684,0.000005381103,0.000114484734,0.00016387184,0.000031564625,0.93300956,0.00014475794,0.00042561177,0.0037664133],"study_design_scores_gemma":[0.0010298182,0.0012911222,0.35518134,0.0002233915,0.000018302755,0.00024097778,0.00030752775,0.0059421742,0.6350786,0.00018741013,0.00020370525,0.00029559835],"about_ca_topic_score_codex":0.00038824123,"about_ca_topic_score_gemma":0.0004320659,"teacher_disagreement_score":0.29793093,"about_ca_system_score_codex":0.0002855776,"about_ca_system_score_gemma":0.000066853056,"threshold_uncertainty_score":0.94379103},"labels":[],"label_agreement":null},{"id":"W1999470896","doi":"10.1371/journal.pone.0033477","title":"Human Gamma Oscillations during Slow Wave Sleep","year":2012,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":105,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"European Commission; Generalitat Valenciana; University of Alberta; Institut National de la Santé et de la Recherche Médicale; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)","keywords":"Electroencephalography; Scalp; Local field potential; Physics; Neuroscience; Slow-wave sleep; Cerebral cortex; Cortex (anatomy); Sleep (system call); Human brain; Amplitude; Nuclear magnetic resonance; Biology; Anatomy; Optics","score_opus":0.08927721316047964,"score_gpt":0.2423594261979497,"score_spread":0.15308221303747005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999470896","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99161357,0.000008649386,0.000018250026,0.00032950463,0.00013972797,0.00014201492,0.0000075096727,0.00011000209,0.007630792],"genre_scores_gemma":[0.99447817,0.0000055198093,0.0001321847,0.00021611297,0.00030133603,0.000012707922,0.0000029427836,0.000016072861,0.0048349774],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991514,0.000036006022,0.00011875701,0.00017937698,0.00024460471,0.00026987435],"domain_scores_gemma":[0.9996089,0.000042694657,0.000048003778,0.00018926123,0.000019279685,0.000091871814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000060163173,0.00008137321,0.00009093574,0.00006289101,0.00029659105,0.000034168766,0.000069162335,0.000034852164,0.000167998],"category_scores_gemma":[0.0001381647,0.00007765125,0.000033849832,0.00015614665,0.000033249595,0.00025175104,0.000051319515,0.0001130955,0.00020222516],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030678843,0.00032378535,0.0033983763,0.000016668313,0.0000052502255,0.000002117952,0.00006583248,0.000007610667,0.9935296,0.002524327,0.000027236041,0.00009608702],"study_design_scores_gemma":[0.00032166654,0.000062546525,0.11334776,0.00003405697,0.000038809078,0.000010590182,0.000011472603,0.0044298274,0.88071185,0.0006056283,0.00019573965,0.0002300777],"about_ca_topic_score_codex":0.0000041572066,"about_ca_topic_score_gemma":0.0000029430187,"teacher_disagreement_score":0.11281782,"about_ca_system_score_codex":0.000034472545,"about_ca_system_score_gemma":0.0000029947212,"threshold_uncertainty_score":0.31665263},"labels":[],"label_agreement":null},{"id":"W1999552492","doi":"10.1007/s00221-007-1115-9","title":"Spectral integration plasticity in cat auditory cortex induced by perceptual training","year":2007,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"North Island College","funders":"National Institute on Deafness and Other Communication Disorders; U.S. Public Health Service","keywords":"Auditory cortex; Neuroscience; Psychology; Neuroplasticity; Perception; Perceptual learning; Plasticity; Cortex (anatomy); Audiology; Cognitive psychology; Medicine; Physics","score_opus":0.13205859714229162,"score_gpt":0.40068888787683193,"score_spread":0.2686302907345403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999552492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933406,0.0000104932415,0.00014817492,0.00037218313,0.00057780335,0.00039588969,0.000010227475,0.000058620495,0.005086004],"genre_scores_gemma":[0.9982913,0.000002848033,0.000052206287,0.00043090832,0.00029927428,0.00003066687,0.0000148472955,0.000027132104,0.0008508255],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99704236,0.00035005333,0.00030961583,0.00061775226,0.0008898378,0.00079037086],"domain_scores_gemma":[0.99840814,0.0011747999,0.000044298165,0.00015403228,0.000033518685,0.00018521961],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010730944,0.00017207088,0.00016211915,0.00035462534,0.00030453366,0.00010601579,0.0002856362,0.00012546044,0.00032711567],"category_scores_gemma":[0.0009947694,0.00016529275,0.000052098258,0.00063978165,0.00028807519,0.00029546028,0.0001179424,0.0006912002,0.000102335965],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015858043,0.00024812887,0.0000842648,0.0000023215523,0.0000011580239,0.000044335015,0.003347631,0.0000026677478,0.98993003,0.0013626363,0.0025457046,0.002272539],"study_design_scores_gemma":[0.000638405,0.0006335503,0.015189799,0.00002040835,4.3992637e-7,0.000015450798,0.008513775,0.003383158,0.97079325,0.0001422615,0.00047297118,0.00019651985],"about_ca_topic_score_codex":0.0002601012,"about_ca_topic_score_gemma":0.00019132305,"teacher_disagreement_score":0.01913677,"about_ca_system_score_codex":0.0006046824,"about_ca_system_score_gemma":0.00008400425,"threshold_uncertainty_score":0.67404425},"labels":[],"label_agreement":null},{"id":"W1999574759","doi":"10.1016/s0165-0270(00)00213-2","title":"Simulation of cross-correlograms resulting from synaptic connections between neurons","year":2000,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Medical Research Council","keywords":"Executable; Computer science; Upload; Event (particle physics); Simple (philosophy); Cross-correlation; Simulation; Mathematics; Statistics; Programming language; Physics; Operating system","score_opus":0.12211619872323017,"score_gpt":0.42857407691075206,"score_spread":0.3064578781875219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999574759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9472703,0.000010473804,0.05028575,0.00021797227,0.0016745128,0.000117040356,0.00002088009,0.000029363282,0.00037370846],"genre_scores_gemma":[0.992292,0.000026369886,0.0069946186,0.00034834014,0.00020789984,0.0000010171523,4.2116437e-7,0.000018044651,0.00011128912],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99701333,0.0006262763,0.0009199256,0.00043437592,0.0006686429,0.00033746476],"domain_scores_gemma":[0.9945556,0.003910917,0.0007787475,0.00031652264,0.00025574546,0.00018245094],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0016988729,0.00016486782,0.00035527584,0.0003403134,0.00043113672,0.00019710526,0.0006418313,0.00006593348,0.000050332845],"category_scores_gemma":[0.01206608,0.00013830951,0.00018692816,0.001493271,0.00078930106,0.0010344918,0.00007069201,0.00048003584,0.000004254756],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005203664,0.00005293032,0.0016199881,0.0000031814525,0.0000017632399,0.000013446335,0.000054337335,0.13763869,0.80864644,0.00006376539,0.0000022955755,0.05185115],"study_design_scores_gemma":[0.00083076005,0.0010982826,0.14945236,0.000058977213,0.00007691499,0.00012923084,0.000026355747,0.5562718,0.2854078,0.003416784,0.0029422732,0.0002884548],"about_ca_topic_score_codex":0.000020720528,"about_ca_topic_score_gemma":5.543949e-7,"teacher_disagreement_score":0.5232386,"about_ca_system_score_codex":0.000048620874,"about_ca_system_score_gemma":0.00011202898,"threshold_uncertainty_score":0.9962557},"labels":[],"label_agreement":null},{"id":"W1999647413","doi":"10.1186/1471-2202-15-s1-p26","title":"Asynchronous coding in neuronal networks","year":2014,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Computer science; Asynchronous communication; Coding (social sciences); Neuroscience; Cognitive science; Computer network; Psychology; Mathematics","score_opus":0.03452354555062458,"score_gpt":0.2524055137620853,"score_spread":0.21788196821146072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999647413","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.877243,0.0000039931815,0.116230875,0.00022800636,0.0023275535,0.00022036432,0.0000021042965,0.0001429424,0.0036011692],"genre_scores_gemma":[0.99553365,0.00001349776,0.000117482705,0.003980398,0.00012317068,0.000012826358,4.5267774e-7,0.00001802626,0.00020048424],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99785936,0.00023768321,0.00024941287,0.0007782908,0.00035174645,0.00052351004],"domain_scores_gemma":[0.99901426,0.00045041813,0.00009223136,0.00031060373,0.000012644459,0.00011982469],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003441389,0.00016666959,0.00015054319,0.00014282198,0.00022847009,0.00014623022,0.0004913182,0.000045523273,0.000014743559],"category_scores_gemma":[0.0013914999,0.00015578656,0.00005440363,0.0008005305,0.00021624766,0.00033484638,0.00015260777,0.00027561144,0.000031673237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033778444,0.00011032109,0.0137400385,0.000013834818,7.786825e-8,0.000025063588,0.00002104653,0.04800849,0.89343333,0.03815359,0.000097268115,0.006363152],"study_design_scores_gemma":[0.0003037418,0.00017012312,0.08260149,0.0000128163465,0.0000013487868,0.000052970332,0.0000022738584,0.9042014,0.010232286,0.0007020929,0.0015050551,0.00021443581],"about_ca_topic_score_codex":0.000009571299,"about_ca_topic_score_gemma":0.00002890787,"teacher_disagreement_score":0.88320106,"about_ca_system_score_codex":0.000035234512,"about_ca_system_score_gemma":0.000035775094,"threshold_uncertainty_score":0.6352791},"labels":[],"label_agreement":null},{"id":"W1999695968","doi":"10.1523/jneurosci.0279-06.2006","title":"Precise Long-Range Synchronization of Activity and Silence in Neocortical Neurons during Slow-Wave Sleep","year":2006,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":295,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Deutsche Forschungsgemeinschaft","keywords":"Neuroscience; Bursting; Rhythm; Premovement neuronal activity; Sleep (system call); Electrophysiology; Alternation (linguistics); Biology; Optogenetics; Psychology; Physics; Computer science","score_opus":0.020950217478870447,"score_gpt":0.24201004430768008,"score_spread":0.22105982682880965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999695968","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966535,0.00002187668,0.0022901094,0.00027981642,0.0005119751,0.00013955322,0.000004126116,0.00000991967,0.00008909937],"genre_scores_gemma":[0.9996359,0.00008954467,0.00004783651,0.00008469539,0.00006306302,0.0000014506047,5.9506252e-8,0.000010193609,0.00006727683],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983266,0.00014210146,0.0004377569,0.00032714938,0.0005062481,0.00026012282],"domain_scores_gemma":[0.9990504,0.00022982305,0.00041123448,0.00015289219,0.00006573405,0.00008995126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021827585,0.00012880834,0.00021741512,0.00025328467,0.00010785082,0.00006729637,0.00021085363,0.000043451055,0.0000039472648],"category_scores_gemma":[0.00093999377,0.00011177683,0.000058543126,0.0007138676,0.000286266,0.000816252,0.00009346306,0.0002942548,5.632273e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008094124,0.00016202207,0.01950783,0.000026403353,1.9209237e-7,0.00022026546,0.000025510692,0.0027478181,0.9753705,0.000105323226,0.0000037406478,0.0017494156],"study_design_scores_gemma":[0.00042158397,0.00029850355,0.81442,0.000048113157,0.0000067167084,0.0006496057,0.000003824135,0.061508834,0.12232098,0.0002160769,0.0000072379203,0.000098508666],"about_ca_topic_score_codex":0.000018238848,"about_ca_topic_score_gemma":0.000014078835,"teacher_disagreement_score":0.8530496,"about_ca_system_score_codex":0.00004493929,"about_ca_system_score_gemma":0.0000476337,"threshold_uncertainty_score":0.4558127},"labels":[],"label_agreement":null},{"id":"W1999843794","doi":"10.1117/12.610938","title":"Experimental and theoretical demonstration of noise shaping by interspike interval correlations (Invited Paper)","year":2005,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Electric fish; Interval (graph theory); Noise (video); Electroreception; Fish <Actinopterygii>; Sensory system; Neuroscience; Mechanism (biology); Biological system; Physics; Computer science; Statistical physics; Biology; Mathematics; Artificial intelligence","score_opus":0.013236198753774723,"score_gpt":0.23364447754795056,"score_spread":0.22040827879417585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999843794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937525,0.0000625626,0.00020789432,0.0045184274,0.00016913154,0.0003771439,0.000050672727,0.00004947066,0.00081222266],"genre_scores_gemma":[0.9897711,0.00003972982,0.009527158,0.00036680186,0.00014525984,0.000049565613,0.0000065963304,0.000031171494,0.00006256396],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982961,4.4851856e-8,0.00061289297,0.00036686493,0.00047648879,0.00024764205],"domain_scores_gemma":[0.9989106,0.00021623439,0.000313213,0.000042055235,0.000420977,0.00009693278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031057282,0.00022910195,0.00027747845,0.000083427534,0.00008905756,0.00009569752,0.00042978485,0.00013750244,0.000023394465],"category_scores_gemma":[0.00056271045,0.00019393614,0.00030796134,0.00021526458,0.0005198983,0.00078916806,0.00015060074,0.00025914554,7.64715e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000066858636,0.0001028238,0.000114187176,0.000058266447,0.000034045166,2.24707e-8,0.00019487205,0.000037260106,0.6051956,0.39325917,0.00067027984,0.00026665645],"study_design_scores_gemma":[0.0007091082,0.00033064888,0.00027606662,0.00016920391,0.000054391585,0.000020170886,0.00077389885,0.26883602,0.7272906,0.00082994445,0.0005040716,0.0002058793],"about_ca_topic_score_codex":0.0000031674335,"about_ca_topic_score_gemma":9.241563e-8,"teacher_disagreement_score":0.3924292,"about_ca_system_score_codex":0.00009816715,"about_ca_system_score_gemma":0.000011245779,"threshold_uncertainty_score":0.7908486},"labels":[],"label_agreement":null},{"id":"W1999951627","doi":"10.3766/jaaa.15.8.2","title":"Avoiding Electromagnetic Artifacts When Recording Auditory Steady-State Responses","year":2004,"lang":"en","type":"article","venue":"Journal of the American Academy of Audiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"","keywords":"Audiology; Acoustics; Masking (illustration); Intensity (physics); Amplitude; Aliasing; Electroencephalography; Physics; Computer science; Psychology; Filter (signal processing); Neuroscience; Medicine; Optics; Computer vision","score_opus":0.029080476227739883,"score_gpt":0.2865638273991308,"score_spread":0.2574833511713909,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999951627","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9841918,0.000060173996,0.0002457019,0.014666378,0.0006368274,0.000083846266,0.000002961083,0.00001269497,0.000099660465],"genre_scores_gemma":[0.9955246,0.0004159275,0.00044082303,0.003001835,0.00026786537,0.0000011896864,4.2807727e-8,0.000016514594,0.0003312212],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977136,0.0009200301,0.0005660467,0.00020103045,0.000268157,0.00033111265],"domain_scores_gemma":[0.99696964,0.0009771294,0.0018234011,0.000110031964,0.000036544232,0.00008326105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008323421,0.00014185473,0.00042487792,0.00020807686,0.0001999478,0.0000136507,0.00055005995,0.000050365732,0.000013273672],"category_scores_gemma":[0.0023761573,0.00009557825,0.00020087913,0.0003294055,0.0005824712,0.00016297206,0.00010082538,0.0010591083,0.000009664454],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051300984,0.0000258998,0.00039621317,0.000005546127,0.000015302649,0.000013562864,0.00012804105,0.0012294136,0.99229324,0.00025744064,0.0006997743,0.004422552],"study_design_scores_gemma":[0.0010393985,0.0032801302,0.08697742,0.0001635222,0.00007680841,0.0030106038,0.00016543247,0.0001571461,0.84296423,0.05833017,0.003521552,0.00031358696],"about_ca_topic_score_codex":0.000011340903,"about_ca_topic_score_gemma":9.652309e-7,"teacher_disagreement_score":0.14932902,"about_ca_system_score_codex":0.0001293389,"about_ca_system_score_gemma":0.000102322134,"threshold_uncertainty_score":0.46013576},"labels":[],"label_agreement":null},{"id":"W1999958919","doi":"10.3389/fncir.2014.00149","title":"Visual cortical areas of the mouse: comparison of parcellation and network structure with primates","year":2015,"lang":"en","type":"review","venue":"Frontiers in Neural Circuits","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Université du Québec à Trois-Rivières","keywords":"Neuroscience; Sensory system; Primate; Cognition; Biological neural network; Sensory processing; Visual processing; Psychology; Perception","score_opus":0.03996094225726832,"score_gpt":0.3058334015520731,"score_spread":0.2658724592948048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999958919","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07572291,0.9209915,0.00012548782,0.000017728637,0.0014148499,0.001454905,0.00009948744,0.000028643013,0.00014447994],"genre_scores_gemma":[0.5776391,0.4219063,0.00006669011,0.000038313738,0.0001257321,0.000014889911,0.00004724251,0.00006442512,0.00009730187],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99799013,0.00038155413,0.00057865016,0.00039823249,0.00040308523,0.00024837136],"domain_scores_gemma":[0.99887824,0.0001649209,0.0006316343,0.0002149643,0.00004779166,0.00006246199],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012496916,0.00027842217,0.0011874718,0.000093151844,0.00006719593,0.000024851848,0.00024313075,0.00018763829,0.000003426411],"category_scores_gemma":[0.0001456438,0.00016620167,0.000091543094,0.00054744165,0.00029125382,0.00007351611,0.00009189588,0.000503737,1.8981495e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007615317,0.000119782606,0.053760994,0.007573098,0.00004319616,0.0000072690855,0.00013874026,0.0010886962,0.0007491898,0.00032162626,0.0022415144,0.93387973],"study_design_scores_gemma":[0.009089779,0.007337671,0.042429395,0.0372351,0.0063949535,0.0011476822,0.0006353647,0.27633774,0.007653384,0.007515052,0.59619445,0.0080294525],"about_ca_topic_score_codex":0.0000030785866,"about_ca_topic_score_gemma":0.000007010183,"teacher_disagreement_score":0.9258503,"about_ca_system_score_codex":0.00005736939,"about_ca_system_score_gemma":0.000086995504,"threshold_uncertainty_score":0.6777507},"labels":[],"label_agreement":null},{"id":"W2000082084","doi":"10.1002/1096-9861(20000821)424:2<197::aid-cne1>3.0.co;2-6","title":"Corticothalamic projections from layer 5 of the vibrissal barrel cortex in the rat","year":2000,"lang":"en","type":"article","venue":"The Journal of Comparative Neurology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":178,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Medical Research Council","keywords":"Thalamus; Somatosensory system; Neuroscience; Biotinylated dextran amine; Brainstem; Superior colliculus; Pretectal area; Sensory system; Anatomy; Pontine nuclei; Cortex (anatomy); Nucleus; Biology; Midbrain; Central nervous system","score_opus":0.04653278893291079,"score_gpt":0.2930833465469014,"score_spread":0.24655055761399058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000082084","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99294275,0.000032445103,0.000040122057,0.004790888,0.0007419248,0.00023559855,0.000007105423,0.000004142368,0.0012050049],"genre_scores_gemma":[0.99669677,0.000057439334,0.000003241419,0.0029975253,0.00009726883,0.0000026676532,2.316569e-7,0.0000061555406,0.00013868],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99733704,0.0016845325,0.00042859121,0.00011933691,0.00027069112,0.00015979096],"domain_scores_gemma":[0.99789184,0.0014286053,0.00035589177,0.00025304136,0.000049941176,0.000020702337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003073134,0.00011150631,0.00023763218,0.00005576556,0.00016221483,0.000017913051,0.0006206477,0.000036782683,0.00012153225],"category_scores_gemma":[0.000083301245,0.00004858038,0.00010044454,0.0003721423,0.0003556226,0.000102662816,0.0000359126,0.0006866071,0.000013427149],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014446094,0.00028763674,0.0053840578,0.000002238406,0.000017361479,0.000029890618,0.0029050668,0.0077577187,0.9779925,0.0011924496,0.0024347724,0.00055170304],"study_design_scores_gemma":[0.0017809098,0.002302364,0.8743891,0.00002449613,0.00012433516,0.0019484533,0.000332908,0.023996025,0.07739332,0.009609115,0.007907113,0.00019183509],"about_ca_topic_score_codex":0.00004582875,"about_ca_topic_score_gemma":0.00012319813,"teacher_disagreement_score":0.9005992,"about_ca_system_score_codex":0.000009065031,"about_ca_system_score_gemma":0.000053229443,"threshold_uncertainty_score":0.29830045},"labels":[],"label_agreement":null},{"id":"W2000142440","doi":"10.1016/s0304-3940(03)00108-3","title":"Localization of human somatosensory cortex using spatially filtered magnetoencephalography","year":2003,"lang":"en","type":"article","venue":"Neuroscience Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children; SickKids Foundation","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Magnetoencephalography; Somatosensory system; Neuroscience; Physics; Median nerve; Beamforming; Cortex (anatomy); Spatial filter; Somatosensory evoked potential; Nuclear magnetic resonance; Electroencephalography; Medicine; Anatomy; Computer science; Psychology; Optics; Telecommunications","score_opus":0.03961958713013506,"score_gpt":0.2618604682469749,"score_spread":0.22224088111683984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000142440","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98153275,0.000002957881,0.016727975,0.00016527678,0.0009036777,0.00021507636,0.000010785727,0.00006206817,0.00037942475],"genre_scores_gemma":[0.99132,0.000005983115,0.00019440254,0.008395043,0.000023176968,0.000003570051,0.0000015870917,0.000018693354,0.000037536403],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980132,0.00022057927,0.0003313097,0.00059232226,0.00048185917,0.00036073072],"domain_scores_gemma":[0.9992635,0.000068873145,0.00023409762,0.00031615622,0.0000317256,0.00008563334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013836035,0.00017377676,0.0001718797,0.0002484588,0.00033818375,0.000073412964,0.0002959319,0.000042496493,0.000036864403],"category_scores_gemma":[0.00030573056,0.00016861994,0.000093027775,0.0009513784,0.00055198773,0.00035234776,0.000037583744,0.00012980995,0.0000036638241],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000045531083,0.0000471527,0.004398378,0.000012393663,2.9766588e-7,0.000022289272,0.000035210753,0.004113517,0.9894585,0.001731392,0.00006572449,0.000110572284],"study_design_scores_gemma":[0.00043019708,0.00027324984,0.007487084,0.000026624739,0.000013458805,0.00010492975,0.0000140413085,0.05356985,0.93628585,0.0005650541,0.000890516,0.000339165],"about_ca_topic_score_codex":0.000027835455,"about_ca_topic_score_gemma":0.0000038724966,"teacher_disagreement_score":0.05317269,"about_ca_system_score_codex":0.000021246857,"about_ca_system_score_gemma":0.000025974414,"threshold_uncertainty_score":0.6876122},"labels":[],"label_agreement":null},{"id":"W2000473535","doi":"10.1121/1.4783311","title":"Some brain mechanisms for auditory scene analysis.","year":2009,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Receptive field; Auditory cortex; Auditory perception; Perception; Computer science; Sound localization; SIGNAL (programming language); Auditory system; Neuroscience; Acoustics; Psychology; Physics","score_opus":0.015603741015049015,"score_gpt":0.26129572790565175,"score_spread":0.24569198689060273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000473535","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02525695,0.00006772855,0.91249335,0.061021514,0.0008509209,0.0002303854,0.000021559963,0.000015780939,0.000041786978],"genre_scores_gemma":[0.9607838,0.0001823389,0.0135121355,0.02469053,0.0005368442,7.8746655e-7,2.9958107e-7,0.000009747831,0.00028351604],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99871534,0.00015324197,0.0003504227,0.00010971794,0.00045881033,0.00021249245],"domain_scores_gemma":[0.9979114,0.0011577252,0.0005269835,0.00024280783,0.00009403162,0.00006706953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060816616,0.000107162545,0.0002945602,0.000028037106,0.00024573941,0.00001839817,0.00059262285,0.000048757764,0.000015899828],"category_scores_gemma":[0.00070623495,0.000053479587,0.000798299,0.00049312273,0.00028122726,0.00010046639,0.000058652517,0.00028073927,0.0000014131118],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012096789,0.0001123639,0.0000017803862,0.0000074235104,0.00009482786,4.3380925e-7,0.00008893126,0.013582503,0.9488843,0.00031512853,0.029733405,0.007057941],"study_design_scores_gemma":[0.00067387416,0.0014533183,0.0015784387,0.000028716313,0.0013320061,0.000041509014,0.0003015773,0.8560139,0.052233744,0.083660886,0.002487784,0.00019425122],"about_ca_topic_score_codex":0.0000032573837,"about_ca_topic_score_gemma":9.373655e-8,"teacher_disagreement_score":0.93552685,"about_ca_system_score_codex":0.00004539376,"about_ca_system_score_gemma":0.00004389032,"threshold_uncertainty_score":0.21808343},"labels":[],"label_agreement":null},{"id":"W2000837205","doi":"10.1016/j.pneurobio.2012.02.006","title":"Recording and analysis techniques for high-frequency oscillations","year":2012,"lang":"en","type":"review","venue":"Progress in Neurobiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":193,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University","funders":"National Institute of Neurological Disorders and Stroke","keywords":"Computer science; Bridge (graph theory); Neuroscience; Property (philosophy); Data science; Psychology; Biology","score_opus":0.07993262134122575,"score_gpt":0.35629949670581085,"score_spread":0.2763668753645851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000837205","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00040055154,0.99618745,0.00028518823,0.00013324498,0.0008499388,0.0016856105,0.00020880587,0.00015205087,0.00009715666],"genre_scores_gemma":[0.005156658,0.992274,0.0012826177,0.00008179849,0.00014188307,0.00083462754,0.00013602996,0.000040858326,0.000051534797],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99791414,0.00037376457,0.0005194612,0.0007347581,0.000054152402,0.00040373005],"domain_scores_gemma":[0.99837935,0.00086895964,0.00037975123,0.00029241707,0.000025090545,0.00005441544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026066738,0.00030502872,0.001076545,0.0007451132,0.00012147977,0.000044529254,0.00024441245,0.00030359175,0.00001237667],"category_scores_gemma":[0.00021990183,0.0002421578,0.00023684469,0.0010137141,0.00019625781,0.000102659746,0.00013513598,0.00031351252,0.0000035066546],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003424682,0.00003141961,0.0010969996,0.0010779087,0.0000292134,0.0000031276454,0.000003814057,1.4330064e-7,0.00005024274,0.0059051355,0.000007098866,0.9917915],"study_design_scores_gemma":[0.00025114766,0.0004756437,0.0004439764,0.0011751151,0.0033375036,0.00016066775,0.0000013309516,0.00019734498,0.000144267,0.004772287,0.9878937,0.0011470395],"about_ca_topic_score_codex":0.0000058698147,"about_ca_topic_score_gemma":0.000013106325,"teacher_disagreement_score":0.99064445,"about_ca_system_score_codex":0.000046699126,"about_ca_system_score_gemma":0.000027723028,"threshold_uncertainty_score":0.98749083},"labels":[],"label_agreement":null},{"id":"W2000961543","doi":"10.1080/00207450600773913","title":"COMPUTATIONAL AND NONCOMPUTATIONAL SYSTEMS IN BRAIN AND COGNITION: CAN ONE MASK THE OTHER?","year":2007,"lang":"en","type":"review","venue":"International Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"New York Institute of Technology","funders":"","keywords":"Premise; Consciousness; Cognition; Bridge (graph theory); Mathematical proof; Cognitive science; Computer science; Brain waves; Neuroscience; Function (biology); Cognitive psychology; Psychology; Physics; Mathematics; Electroencephalography; Epistemology; Biology","score_opus":0.11000169439723534,"score_gpt":0.3664137752713899,"score_spread":0.25641208087415457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000961543","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0076270932,0.95752186,0.008095418,0.011771345,0.012069725,0.0016610569,0.00057631015,0.00004789913,0.0006292733],"genre_scores_gemma":[0.058393158,0.93512684,0.0002080732,0.0051967506,0.000841424,0.000013993404,0.000009824694,0.000043375443,0.0001665466],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972304,0.00029320404,0.00083207927,0.00037752665,0.00107567,0.00019110517],"domain_scores_gemma":[0.9967834,0.0020066719,0.00084247906,0.000079210906,0.00018751917,0.00010075455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008262734,0.00021979593,0.00045804572,0.00054721744,0.00012755253,0.00037947338,0.0005911321,0.000080771926,0.0000029122955],"category_scores_gemma":[0.0007305034,0.00015480437,0.00010599346,0.000422924,0.00040264116,0.00027616558,0.00014338573,0.00053432997,0.0000020364294],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000078134675,0.00028022728,0.000055219774,0.00076039095,0.00003809584,0.000834967,0.00023837357,0.0033636102,0.0017948931,0.02293927,0.00021806928,0.96939874],"study_design_scores_gemma":[0.0014729629,0.00049000425,0.0021704603,0.0071847443,0.00013188182,0.022740167,0.0000645951,0.040872246,0.00001392554,0.0058578122,0.9182973,0.0007039038],"about_ca_topic_score_codex":0.000016315244,"about_ca_topic_score_gemma":0.000008305845,"teacher_disagreement_score":0.96869487,"about_ca_system_score_codex":0.00009522997,"about_ca_system_score_gemma":0.00023038819,"threshold_uncertainty_score":0.6312739},"labels":[],"label_agreement":null},{"id":"W2001123550","doi":"10.1088/1741-2560/9/2/026004","title":"Assessing functional connectivity of neural ensembles using directed information","year":2012,"lang":"en","type":"article","venue":"Journal of Neural Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"American Stroke Association; Stroke Association; Heart and Stroke Foundation of Canada; American Heart Association; National Science Foundation","keywords":"Computer science; Mutual information; Correlation; Artificial intelligence; Neurophysiology; Artificial neural network; Machine learning; Functional connectivity; Pattern recognition (psychology); Neuroscience; Mathematics; Psychology","score_opus":0.05066232032348391,"score_gpt":0.26505083718341943,"score_spread":0.2143885168599355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001123550","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98688143,0.000040147657,0.010740759,0.00005352255,0.0021517668,0.00005491115,0.0000029780263,0.00003893618,0.000035524503],"genre_scores_gemma":[0.99903864,0.0000052787345,0.0005647806,0.00007503643,0.00029938424,5.070129e-7,9.470412e-7,0.000012016533,0.0000034278542],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988268,0.000056122204,0.00046695955,0.00006851247,0.0003457028,0.00023591066],"domain_scores_gemma":[0.99895024,0.00030185704,0.00044876625,0.000076567754,0.00012202553,0.000100521735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026039238,0.00013071031,0.00021571561,0.00025775126,0.0000743326,0.0000772255,0.00008847908,0.000049490664,0.000012720783],"category_scores_gemma":[0.00080385356,0.00011172789,0.000121826175,0.00030845194,0.000021732949,0.0039117103,0.000034372464,0.00027974497,0.0000010064639],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003314089,0.000029015251,0.0017070597,0.000033184144,0.000006220883,0.0000037127686,0.000043088057,0.14577402,0.8500381,0.00021545394,0.000009843231,0.0021071357],"study_design_scores_gemma":[0.00038010767,0.00007329495,0.07305607,0.00005110602,0.000027075606,0.0008458086,0.000026592528,0.8178228,0.107347146,0.000015268539,0.00020742822,0.00014730841],"about_ca_topic_score_codex":0.0000035846656,"about_ca_topic_score_gemma":1.2246171e-7,"teacher_disagreement_score":0.742691,"about_ca_system_score_codex":0.00006942962,"about_ca_system_score_gemma":0.000022839682,"threshold_uncertainty_score":0.4556131},"labels":[],"label_agreement":null},{"id":"W2001196693","doi":"10.1016/j.pscychresns.2015.01.003","title":"Reduced event-related low frequency EEG activity in patients with early onset schizophrenia and their unaffected siblings","year":2015,"lang":"en","type":"article","venue":"Psychiatry Research Neuroimaging","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institute for Health and Care Research","keywords":"Electroencephalography; Schizophrenia (object-oriented programming); Psychology; Audiology; Delta Rhythm; Psychosis; Event-related potential; Endophenotype; Neuroscience; Internal medicine; Medicine; Psychiatry; Theta rhythm; Cognition","score_opus":0.03583309913032318,"score_gpt":0.3028459659263836,"score_spread":0.2670128667960604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001196693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99585354,0.000025331417,0.00001683544,0.0016932948,0.00046361826,0.0007138904,0.000016748838,0.00013300055,0.0010837308],"genre_scores_gemma":[0.9994669,0.000008079932,0.00008936401,0.00011696244,0.00003064518,0.000023152526,0.0000046823898,0.00007561959,0.00018460402],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966998,0.00084787654,0.0002328808,0.00086744083,0.00066546694,0.00068655284],"domain_scores_gemma":[0.9987696,0.00025811154,0.00010613825,0.00042038973,0.00013958022,0.00030619197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006653421,0.00025024437,0.00021939716,0.00071050326,0.0002437214,0.00023133068,0.0003019676,0.00006783013,0.0000140595985],"category_scores_gemma":[0.00075061247,0.00019739984,0.000037168833,0.0019462028,0.00026870886,0.00057730736,0.00016813676,0.0010728429,0.00003734023],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014050702,0.00068421604,0.82419676,0.000050444283,0.000009969151,0.000033434037,0.00026815553,0.000034328394,0.16722575,0.00047273494,0.0003098927,0.0053092674],"study_design_scores_gemma":[0.003812098,0.00082149805,0.9823894,0.00013961061,0.000003818617,0.000017554506,0.00003364782,0.00553636,0.0022505024,0.0046869973,0.000015604863,0.0002929417],"about_ca_topic_score_codex":0.00016334643,"about_ca_topic_score_gemma":0.000062340514,"teacher_disagreement_score":0.16497526,"about_ca_system_score_codex":0.00007252392,"about_ca_system_score_gemma":0.00020467283,"threshold_uncertainty_score":0.8049732},"labels":[],"label_agreement":null},{"id":"W2001388733","doi":"10.1523/jneurosci.4795-04.2005","title":"Spike-Frequency Adaptation Separates Transient Communication Signals from Background Oscillations","year":2005,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":222,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Electric fish; Electroreception; Adaptation (eye); Neuroscience; Stimulus (psychology); Spike (software development); Biological system; Physics; Computer science; Biology; Sensory system; Psychology","score_opus":0.08390137329333729,"score_gpt":0.30641003276143225,"score_spread":0.22250865946809495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001388733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9842807,0.00010205332,0.010324729,0.00346679,0.00067545794,0.0001348423,0.00002007962,0.000027007392,0.00096833793],"genre_scores_gemma":[0.9953201,0.00029785972,0.0020785048,0.0019564733,0.0001517722,0.0000023210418,0.0000015645595,0.000011940584,0.00017946103],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99803346,0.00023384213,0.0005985895,0.00028184583,0.00063020136,0.00022208666],"domain_scores_gemma":[0.998444,0.00041541382,0.0005628196,0.00028182348,0.0001607104,0.0001352194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035992963,0.00014157633,0.00017562447,0.00018209749,0.00035140963,0.00019764529,0.00056506414,0.000046035086,0.00005124501],"category_scores_gemma":[0.00043636846,0.00011942646,0.00011520659,0.00056779914,0.00019348419,0.0014984361,0.00003795394,0.00028659543,0.000027855807],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002068406,0.0000948384,0.00010268463,0.0000015930584,8.1279444e-7,0.000007937323,0.00026619452,0.01715063,0.97799975,0.001050834,0.00019304374,0.003111023],"study_design_scores_gemma":[0.0022824113,0.0018147925,0.087459005,0.0002090577,0.000106370215,0.0007740483,0.0004896976,0.5726327,0.2657534,0.0153749725,0.052124914,0.0009786766],"about_ca_topic_score_codex":0.000020491316,"about_ca_topic_score_gemma":0.000025453535,"teacher_disagreement_score":0.71224636,"about_ca_system_score_codex":0.000082472725,"about_ca_system_score_gemma":0.000098342854,"threshold_uncertainty_score":0.487007},"labels":[],"label_agreement":null},{"id":"W2001420246","doi":"10.3758/s13423-011-0056-2","title":"Turning the attentional blink on and off: Opposing effects of spatial and temporal noise","year":2011,"lang":"en","type":"article","venue":"Psychonomic Bulletin & Review","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Wellcome Trust","keywords":"Psychology; Perception; Attentional blink; Discontinuity (linguistics); Cognitive psychology; Cognition; Perturbation (astronomy); Noise (video); Neuroscience; Physics; Artificial intelligence; Mathematical analysis; Computer science; Quantum mechanics; Mathematics","score_opus":0.03516680006696342,"score_gpt":0.25552002806600443,"score_spread":0.220353227999041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001420246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9717124,0.018538754,0.0001672407,0.005476787,0.0009440153,0.00096236623,0.0000066291627,0.000028467006,0.0021633378],"genre_scores_gemma":[0.9714864,0.024128333,0.00014968976,0.003965489,0.00007579995,0.000022369966,0.0000016817611,0.0000141551955,0.00015609915],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990929,0.00015024522,0.0002477049,0.00029933517,0.00009143096,0.000118406955],"domain_scores_gemma":[0.9993013,0.00028456326,0.00018391442,0.00017136712,0.000012360201,0.000046483226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028767413,0.00011893256,0.00020298046,0.000030431374,0.00010259951,0.00002029957,0.00009777402,0.00002707,0.000112030575],"category_scores_gemma":[0.000177499,0.00007958428,0.000061308136,0.00005068874,0.00011470209,0.00002611766,0.000046412093,0.00013518846,0.00003502127],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003508082,0.00037921517,0.008735401,0.0057128347,0.000040532377,0.000021657843,0.00024025052,0.0000027603976,0.13464871,0.005935948,0.010954976,0.8329769],"study_design_scores_gemma":[0.0046758438,0.0023833557,0.2839269,0.023103265,0.0004915398,0.00047790888,0.00002627049,0.0026641884,0.018219162,0.002800253,0.6597106,0.0015206938],"about_ca_topic_score_codex":0.00002944406,"about_ca_topic_score_gemma":0.0000013439738,"teacher_disagreement_score":0.8314562,"about_ca_system_score_codex":0.0000076267124,"about_ca_system_score_gemma":0.000006823602,"threshold_uncertainty_score":0.32453528},"labels":[],"label_agreement":null},{"id":"W2001493835","doi":"10.5539/ijps.v3n2p171","title":"Facilitation of Detectability and Criterion by Automatic Temporal Expectation","year":2011,"lang":"en","type":"article","venue":"International Journal of Psychological Studies","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Facilitation; Psychology; Stimulus (psychology); Audiology; Speech recognition; Cognitive psychology; Neuroscience; Computer science","score_opus":0.15017541262196613,"score_gpt":0.39128560891412145,"score_spread":0.24111019629215533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001493835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974623,0.00017806301,0.0010354058,0.00033322084,0.00069629605,0.000059055703,0.000009852028,0.000009067476,0.00021674781],"genre_scores_gemma":[0.9987732,0.00020483181,0.000820878,0.00014200855,0.00003155553,0.0000027164604,6.058495e-7,0.0000024580083,0.000021703516],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989829,0.00010930857,0.00041888523,0.00013581604,0.00028820647,0.00006489969],"domain_scores_gemma":[0.9991064,0.0002233139,0.00034501203,0.000044847682,0.0002512552,0.000029150919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023590891,0.000072894974,0.00015340347,0.00007252153,0.00003485649,0.00001196441,0.00013725105,0.000031568128,0.0000581598],"category_scores_gemma":[0.0010732567,0.00004968033,0.000058376892,0.00006454583,0.00018598864,0.00020270437,0.000034279175,0.00008618563,0.0000018289941],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005533316,0.000679922,0.027310237,0.00003628614,0.000085109714,0.00003598447,0.003948774,0.0000036060214,0.89211607,0.00089182495,0.0007685419,0.0735703],"study_design_scores_gemma":[0.0030690783,0.0058535472,0.7201372,0.00021695039,0.00006304347,0.00054321176,0.0036421916,0.0014131517,0.19833708,0.065749034,0.00054336357,0.0004321966],"about_ca_topic_score_codex":0.000004541354,"about_ca_topic_score_gemma":0.0000013644301,"teacher_disagreement_score":0.693779,"about_ca_system_score_codex":0.000028680986,"about_ca_system_score_gemma":0.000003044899,"threshold_uncertainty_score":0.20259051},"labels":[],"label_agreement":null},{"id":"W2001516747","doi":"10.1103/physrevlett.97.118102","title":"Does the <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"> <mml:mn>1</mml:mn> <mml:mo>/</mml:mo> <mml:mi>f</mml:mi> </mml:math> Frequency Scaling of Brain Signals Reflect Self-Organized Critical States?","year":2006,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":408,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Scaling; Physics; Algorithm; Scale (ratio); Computer science; Mathematics; Quantum mechanics; Geometry","score_opus":0.017056591732034974,"score_gpt":0.2698744982854021,"score_spread":0.2528179065533671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001516747","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9869926,0.0005340091,0.00067767064,0.010078464,0.0006250982,0.00012196737,0.00015142001,0.00017215766,0.0006466282],"genre_scores_gemma":[0.97907376,0.0011421362,0.0006276369,0.017758701,0.00087706646,0.00021908898,0.000120695986,0.00015976529,0.000021132284],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9956387,0.0004350329,0.0009312033,0.0009553471,0.0011465825,0.0008930892],"domain_scores_gemma":[0.99583936,0.0024085483,0.000626947,0.0008015158,0.00008543155,0.00023822066],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00086636347,0.00044883136,0.00039468188,0.000093057184,0.00059851,0.00032682024,0.000833417,0.00016836368,0.00011417627],"category_scores_gemma":[0.0018327313,0.0004025423,0.0007763824,0.00075321883,0.00065197697,0.0005244372,0.0003789638,0.0007770099,0.00042661084],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006455479,0.0002071012,0.0000028248605,0.00093417993,0.000060334954,0.00011527133,0.0001455602,0.00019199013,0.22796075,0.7663867,0.0033777975,0.0005529554],"study_design_scores_gemma":[0.0009939631,0.00084833516,0.000080385485,0.002987525,0.0009693351,0.00029396327,0.00010917684,0.518628,0.45505863,0.010851263,0.007911255,0.001268143],"about_ca_topic_score_codex":0.00018012604,"about_ca_topic_score_gemma":0.000028298895,"teacher_disagreement_score":0.7555354,"about_ca_system_score_codex":0.000021774418,"about_ca_system_score_gemma":0.00014006713,"threshold_uncertainty_score":0.99984264},"labels":[],"label_agreement":null},{"id":"W2001599176","doi":"10.1371/journal.pone.0039326","title":"Disruption of Rolandic Gamma-Band Functional Connectivity by Seizures is Associated with Motor Impairments in Children with Epilepsy","year":2012,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Hospital for Sick Children; University of Toronto; Royal College of Physicians and Surgeons of Canada; Ontario Brain Institute","keywords":"Ictal; Neuroscience; Epilepsy; Motor cortex; Electroencephalography; Psychology; Medicine; Physical medicine and rehabilitation; Audiology","score_opus":0.02530096241524108,"score_gpt":0.21171273175215882,"score_spread":0.18641176933691775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001599176","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99911124,0.000016997796,0.000050679857,0.00008205869,0.000029890578,0.00039865484,0.00017451237,0.00003484105,0.0001011437],"genre_scores_gemma":[0.99939305,0.0000106101115,0.0000123829095,0.00018111244,0.000039887418,0.000033057186,0.0000542997,0.000017163078,0.00025844842],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988112,0.00009839256,0.00014369721,0.00024741635,0.00044121707,0.00025808328],"domain_scores_gemma":[0.9995027,0.00011106692,0.00015673599,0.00012089362,0.000035644083,0.0000729633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001544495,0.0001313601,0.00019796086,0.00007881995,0.00007465024,0.000017329929,0.000060130853,0.00005746239,0.00006820102],"category_scores_gemma":[0.00011680674,0.00009727552,0.000024443427,0.00025534604,0.00006777649,0.00031224926,0.000015723323,0.0001484081,0.0000069995276],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025848032,0.0017758616,0.71888214,0.000007710304,0.000049206832,0.0000012016801,0.00005170643,0.0000054002217,0.27886987,0.0000106161215,0.000051913892,0.00003590875],"study_design_scores_gemma":[0.0012610944,0.00066698436,0.9166612,0.00006342276,0.000051014187,0.000017889393,0.0000053782737,0.00054626795,0.08055912,0.00003770153,0.0000013511112,0.00012854587],"about_ca_topic_score_codex":0.00006231843,"about_ca_topic_score_gemma":0.000024137518,"teacher_disagreement_score":0.19831075,"about_ca_system_score_codex":0.0000725146,"about_ca_system_score_gemma":0.000017976286,"threshold_uncertainty_score":0.3966781},"labels":[],"label_agreement":null},{"id":"W2001604049","doi":"10.1167/10.7.503","title":"A common inhibition mechanism underlies both anti and countermanded saccades","year":2010,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Saccade; Antisaccade task; Stop signal; Psychology; Task (project management); Eye movement; Mechanism (biology); Cognitive psychology; Communication; Neuroscience; Computer science","score_opus":0.0171327081847304,"score_gpt":0.2803792885417974,"score_spread":0.263246580357067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001604049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978218,0.000011539545,0.00036968748,0.00085147057,0.00068376795,0.00005170045,0.0000023592038,0.000010780741,0.00019685861],"genre_scores_gemma":[0.9990875,0.00013796736,0.0001205697,0.0004930592,0.00010468063,2.3593672e-7,4.266849e-7,0.000007445802,0.000048108606],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99931306,0.000041809733,0.00021705839,0.00010158646,0.00023537091,0.0000910931],"domain_scores_gemma":[0.99950945,0.000099765544,0.00022814191,0.00006884035,0.000036754107,0.000057030957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024015263,0.00007279113,0.00012725525,0.000107609856,0.00012273632,0.00010619448,0.00006153438,0.00005700072,0.000020579479],"category_scores_gemma":[0.00008168386,0.000052686948,0.000042567597,0.000071792616,0.00005069775,0.00039511183,0.00003402569,0.00029976972,0.0000033081178],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038988055,0.000040026083,0.00013034929,0.0000074136146,0.0000011827227,0.00002667781,0.00004255818,0.000002970655,0.99167895,0.004885089,0.00018390175,0.0029619082],"study_design_scores_gemma":[0.0019959784,0.0017968013,0.0586695,0.00023496672,0.000036919184,0.002569769,0.00010308381,0.011819077,0.8354612,0.08440966,0.002614241,0.00028881992],"about_ca_topic_score_codex":0.0000024507845,"about_ca_topic_score_gemma":0.000009488693,"teacher_disagreement_score":0.15621775,"about_ca_system_score_codex":0.000011133921,"about_ca_system_score_gemma":0.000012253922,"threshold_uncertainty_score":0.21485114},"labels":[],"label_agreement":null},{"id":"W2001781419","doi":"10.1063/1.4829620","title":"Modeling oscillatory dynamics in brain microcircuits as a way to help uncover neurological disease mechanisms: A proposal","year":2013,"lang":"en","type":"article","venue":"Chaos An Interdisciplinary Journal of Nonlinear Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Western Hospital; University of Toronto; Canada Research Chairs; University Health Network","funders":"Canadian Institutes of Health Research; Compute Canada","keywords":"Context (archaeology); Neuroscience; Hippocampus; Computer science; Computational model; Disease; Set (abstract data type); Biology; Artificial intelligence; Medicine","score_opus":0.021362011978585407,"score_gpt":0.2991698115273217,"score_spread":0.2778077995487363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001781419","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9810352,0.000009939961,0.009449611,0.007892528,0.00095931144,0.000469366,0.00001806674,0.000031501975,0.00013449331],"genre_scores_gemma":[0.994795,0.000006254822,0.0021633946,0.0026908615,0.00019674751,0.000012406675,0.000001534101,0.000028451626,0.00010533484],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967118,0.00017571711,0.0007401833,0.0007830414,0.0009394584,0.00064983347],"domain_scores_gemma":[0.9980998,0.0001256512,0.00024480416,0.00038448273,0.00032448763,0.0008207828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010552525,0.00028646123,0.00034119745,0.0007104337,0.000473469,0.00034913895,0.0013080224,0.00007992813,0.00007312311],"category_scores_gemma":[0.00083859055,0.00021929432,0.00015643887,0.0011096363,0.0003486583,0.0018083495,0.0009916159,0.0006018887,0.00010398887],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006549911,0.00095557724,0.00075772,0.000040997616,0.0000048184957,0.00095490966,0.0013909267,0.04679848,0.92908454,0.007015241,0.00009634906,0.012245426],"study_design_scores_gemma":[0.000395959,0.0018083001,0.0015699961,0.00011016688,0.0000063204084,0.00050395087,0.00054237543,0.9689063,0.0023934585,0.023461824,0.00001101711,0.00029035707],"about_ca_topic_score_codex":0.000016254526,"about_ca_topic_score_gemma":0.000047939262,"teacher_disagreement_score":0.9266911,"about_ca_system_score_codex":0.00035067834,"about_ca_system_score_gemma":0.00043887037,"threshold_uncertainty_score":0.8942563},"labels":[],"label_agreement":null},{"id":"W2001828616","doi":"10.1371/journal.pone.0040339","title":"Bursts and Isolated Spikes Code for Opposite Movement Directions in Midbrain Electrosensory Neurons","year":2012,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Midbrain; Neural coding; Neuroscience; Physics; Neuron; Bursting; Biological system; Computer science; Biology","score_opus":0.05925147140254671,"score_gpt":0.25036923833482555,"score_spread":0.19111776693227883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001828616","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99728316,0.00007858843,0.00018079315,0.0014099426,0.0001104011,0.00050574203,0.000052267424,0.0000699783,0.00030912287],"genre_scores_gemma":[0.9965806,0.00013635821,0.0002108882,0.0014686466,0.000073922645,0.00007817755,0.000005807791,0.000020303125,0.001425324],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990943,0.000058554404,0.0001434531,0.00024257934,0.00012661767,0.0003344823],"domain_scores_gemma":[0.9995326,0.00019948014,0.000044618635,0.000119206685,0.000017883895,0.000086220665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010043717,0.00010380647,0.00012777452,0.00010316285,0.0001318273,0.000034946446,0.000056932222,0.00003999458,0.000009185167],"category_scores_gemma":[0.00021244359,0.00010229678,0.000026097094,0.00018966857,0.000035209956,0.00018244353,0.00002969665,0.00011863409,0.000006957229],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049728966,0.00068977056,0.004597456,0.000021757516,0.000005553464,0.0000013420691,0.00006431653,0.0000029980686,0.9931314,0.0009940945,0.000054678636,0.00038688327],"study_design_scores_gemma":[0.00079176144,0.0005308358,0.036957555,0.0000532508,0.000054549164,0.0000088150855,0.000013977588,0.033440724,0.92607445,0.0008539817,0.00094402744,0.0002760861],"about_ca_topic_score_codex":0.000011904779,"about_ca_topic_score_gemma":0.00006344958,"teacher_disagreement_score":0.06705698,"about_ca_system_score_codex":0.00003693776,"about_ca_system_score_gemma":0.0000072030357,"threshold_uncertainty_score":0.41715413},"labels":[],"label_agreement":null},{"id":"W2002050207","doi":"10.1139/z06-002","title":"Synchrony in the amphibian lymphatic system: evidence for bilateral posterior lymph heart synchrony and cardiac–lymphatic synchrony in<i>Rana catesbeiana</i>and<i>Bufo marinus</i>","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Zoology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lymph; Lymphatic system; Biology; Anatomy; Mammalian heart; Bufo marinus; Internal medicine; Cardiology; Pathology; Medicine; Endocrinology; Immunology; Toad","score_opus":0.020886854682252744,"score_gpt":0.23860175071143844,"score_spread":0.2177148960291857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002050207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910467,0.0027287614,0.000046045996,0.0043839365,0.0009875799,0.00064475945,0.000036388567,0.000009617084,0.00011618524],"genre_scores_gemma":[0.99793917,0.00008267545,0.000070961556,0.0015130355,0.00022590903,0.000028191796,0.000003562723,0.000033038385,0.000103451],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997161,0.00054656673,0.0008313501,0.0004690385,0.00022337514,0.0007686699],"domain_scores_gemma":[0.9978472,0.0011392119,0.00031552956,0.00029120548,0.0000825333,0.00032430122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010222979,0.00030133704,0.0006327912,0.0006168718,0.0002435505,0.00022267344,0.00039662188,0.00016969972,0.000010998872],"category_scores_gemma":[0.0005079429,0.00023967147,0.0001373945,0.00043134252,0.0003851755,0.0004554184,0.000038463742,0.00018657606,0.0000059535732],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032442147,0.000077141995,0.94110197,0.0009964539,0.000041109397,0.0018207502,0.0010278238,0.00073041837,0.041866582,0.0047273766,0.0010348106,0.0062511717],"study_design_scores_gemma":[0.0026643944,0.00083237916,0.9750768,0.0011181791,0.00014815653,0.009503099,0.00043527992,0.0070852805,0.00045933586,0.0016532053,0.00043549936,0.0005883691],"about_ca_topic_score_codex":0.017668942,"about_ca_topic_score_gemma":0.04871835,"teacher_disagreement_score":0.041407246,"about_ca_system_score_codex":0.00075508654,"about_ca_system_score_gemma":0.0008371668,"threshold_uncertainty_score":0.98887247},"labels":[],"label_agreement":null},{"id":"W2002157354","doi":"10.1103/physreve.69.022901","title":"Interspike interval statistics of neurons driven by colored noise","year":2004,"lang":"en","type":"article","venue":"Physical Review E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":100,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Noise (video); Gaussian noise; Interval (graph theory); Mathematics; Colors of noise; Statistics; Probability density function; Statistical physics; Autocorrelation; Gaussian; Function (biology); Mathematical analysis; Physics; White noise; Algorithm; Computer science; Combinatorics; Artificial intelligence","score_opus":0.025118655817465942,"score_gpt":0.3054513170733711,"score_spread":0.28033266125590517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002157354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9790606,0.0006508388,0.013795963,0.0035332416,0.00057251274,0.00085121434,0.0005250285,0.000087120025,0.0009234633],"genre_scores_gemma":[0.9953721,0.001866826,0.00012905445,0.0024830927,0.00003224413,0.000013875567,0.000011773203,0.000012713266,0.00007831618],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991673,0.000063919164,0.00021157811,0.00023219151,0.00018337995,0.0001415866],"domain_scores_gemma":[0.9994541,0.00015296134,0.00012082709,0.00017390533,0.000030892646,0.00006733363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003912488,0.00010620576,0.0002704536,0.000015434756,0.000029863204,0.000010966251,0.00016619428,0.000010825338,0.000021355516],"category_scores_gemma":[0.0005328573,0.00008517565,0.00010074649,0.00017052217,0.00010485327,0.00007542684,0.00007371809,0.00012973051,0.000072072515],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002209398,0.0004738421,0.000023322571,0.0005811066,0.000004833016,0.000010686103,0.00006784409,0.000055641045,0.94999653,0.031176837,0.005053843,0.012533436],"study_design_scores_gemma":[0.0052344445,0.007880655,0.0050278567,0.010424741,0.0007610802,0.00009455752,0.000038083628,0.13618469,0.6368201,0.10123156,0.09376248,0.002539751],"about_ca_topic_score_codex":0.00000922275,"about_ca_topic_score_gemma":0.0000028251923,"teacher_disagreement_score":0.31317642,"about_ca_system_score_codex":0.000027192767,"about_ca_system_score_gemma":0.000018100947,"threshold_uncertainty_score":0.34733623},"labels":[],"label_agreement":null},{"id":"W2002232496","doi":"10.1162/neco.2008.20.1.176","title":"Feedback Decoding of Spatially Structured Population Activity in Cortical Maps","year":2007,"lang":"en","type":"article","venue":"Neural Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Receptive field; Decoding methods; Feed forward; Multiplicative function; Population; Subthreshold conduction; Cortex (anatomy); Computer science; Neuroscience; Mathematics; Algorithm; Artificial intelligence; Psychology; Physics","score_opus":0.03143869483453077,"score_gpt":0.2926521201028735,"score_spread":0.26121342526834274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002232496","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98700374,0.0000012271665,0.012031824,0.00009656314,0.00048141694,0.00019063875,0.0000044018493,0.00003770573,0.00015250263],"genre_scores_gemma":[0.9994052,8.9074604e-7,0.0004077536,0.00010900157,0.000043984684,9.374585e-7,0.000014696133,0.000009302127,0.00000823981],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989558,0.00010627234,0.00027609777,0.00024271941,0.00024376175,0.0001753876],"domain_scores_gemma":[0.9993847,0.00032014796,0.00015348839,0.000070283386,0.000031363823,0.000040019313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018922819,0.00009313543,0.00013028512,0.00014709593,0.00006461823,0.000022912005,0.00006457813,0.00005771516,0.0000067133833],"category_scores_gemma":[0.00025011066,0.00009065102,0.000038132945,0.00034249364,0.00002960261,0.00022620971,0.000026797554,0.00017065405,0.0000025187392],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019665466,0.00004006218,0.022910347,0.000016917262,7.1347097e-7,0.000009751704,0.000055037417,0.02435237,0.8792667,0.00082965195,0.000003864449,0.07231793],"study_design_scores_gemma":[0.0003049445,0.000082272345,0.5687039,0.0000076161214,0.0000024889032,0.000007784343,0.0000036640602,0.3446175,0.08440819,0.0017893136,0.0000015632694,0.00007077036],"about_ca_topic_score_codex":0.0001296669,"about_ca_topic_score_gemma":0.00035053722,"teacher_disagreement_score":0.7948585,"about_ca_system_score_codex":0.00006081292,"about_ca_system_score_gemma":0.000008336532,"threshold_uncertainty_score":0.36966413},"labels":[],"label_agreement":null},{"id":"W2002340340","doi":"10.1152/jn.01105.2003","title":"Synaptic Interactions Between Thalamic and Cortical Inputs Onto Cortical Neurons In Vivo","year":2004,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Institute of Neurological Disorders and Stroke","keywords":"Neuroscience; Thalamus; Excitatory postsynaptic potential; Cortical neurons; Postsynaptic potential; Stimulation; Thalamic stimulator; Depolarization; Cerebral cortex; Chemistry; Psychology; Inhibitory postsynaptic potential; Biology; Deep brain stimulation; Medicine; Internal medicine; Receptor; Parkinson's disease; Biophysics","score_opus":0.028873478168577136,"score_gpt":0.2823913307691502,"score_spread":0.253517852600573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002340340","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968898,0.0000037536354,0.00020142761,0.0019894403,0.00073502446,0.000083121384,0.0000048643656,0.000013572293,0.00007898949],"genre_scores_gemma":[0.9981722,0.00006875883,0.00004699371,0.0015004455,0.00017672087,0.0000014718092,2.9437552e-7,0.000016241642,0.000016856795],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985161,0.00029135818,0.0005032615,0.00026547463,0.00015771692,0.0002661154],"domain_scores_gemma":[0.9987097,0.00078373967,0.00019759547,0.00013197883,0.000040448547,0.00013656562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000052111933,0.00014164642,0.0003285245,0.00020435039,0.000098454184,0.000028909943,0.00017379703,0.0000597948,0.000018227696],"category_scores_gemma":[0.0009036046,0.00011564221,0.00008554314,0.00021220474,0.00021142424,0.00022411079,0.000089072644,0.0009076253,0.0000127551675],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000113172806,0.0001264657,0.0008946101,0.0000062314693,0.000007528448,0.0004125022,0.000038771606,0.00082146307,0.9963225,0.0010715373,0.000008608102,0.00017657108],"study_design_scores_gemma":[0.0024647193,0.004702084,0.9420641,0.00008088741,0.00009380169,0.00399429,0.000030594634,0.0039482,0.03242706,0.009199534,0.00063370535,0.00036102714],"about_ca_topic_score_codex":0.0000098159535,"about_ca_topic_score_gemma":0.000009504586,"teacher_disagreement_score":0.9638955,"about_ca_system_score_codex":0.000055466116,"about_ca_system_score_gemma":0.000053206393,"threshold_uncertainty_score":0.47157523},"labels":[],"label_agreement":null},{"id":"W2002496082","doi":"10.1155/2012/590725","title":"Cortical GABAergic Interneurons in Cross-Modal Plasticity following Early Blindness","year":2012,"lang":"en","type":"review","venue":"Neural Plasticity","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Savoy Foundation; CNIB","keywords":"Neuroscience; Interneuron; GABAergic; Sensory system; Neuroplasticity; Biology; Visual cortex; Plasticity; Receptive field; Population; Inhibitory postsynaptic potential; Medicine","score_opus":0.09832075099081945,"score_gpt":0.35131695535638174,"score_spread":0.2529962043655623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002496082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8687765,0.11821878,0.00040007252,0.000024201894,0.009366688,0.0017453962,0.0003547092,0.0004198463,0.0006938185],"genre_scores_gemma":[0.8721439,0.12642297,0.000013990466,0.00016843094,0.00059124094,0.00011318271,0.000027495438,0.00016047258,0.0003583121],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99428976,0.0007254482,0.001328597,0.0014709544,0.0008096864,0.0013755555],"domain_scores_gemma":[0.99474835,0.0039298637,0.00046915514,0.0003536388,0.00003829171,0.0004607072],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00024464793,0.0009830748,0.0019470395,0.00044707517,0.0003200639,0.00041865616,0.0009078928,0.00060585636,0.000118406024],"category_scores_gemma":[0.0027686693,0.0008141083,0.0009281474,0.0009460161,0.00031346077,0.0006912485,0.0005879503,0.002750098,0.00044849596],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021267494,0.009000716,0.014305202,0.038648702,0.00045538612,0.012261322,0.00075455935,0.002741594,0.017313987,0.011286124,0.00054650044,0.89055914],"study_design_scores_gemma":[0.0145285865,0.007342232,0.083212726,0.037007544,0.009908656,0.00553361,0.000047565645,0.15476404,0.003005338,0.0012513151,0.6611172,0.02228119],"about_ca_topic_score_codex":0.0000629632,"about_ca_topic_score_gemma":0.000053269363,"teacher_disagreement_score":0.86827797,"about_ca_system_score_codex":0.00026940397,"about_ca_system_score_gemma":0.00014163805,"threshold_uncertainty_score":0.9995506},"labels":[],"label_agreement":null},{"id":"W2002522691","doi":"10.1002/mus.20534","title":"Unmyelinated tactile afferents underpin detection of low‐force monofilaments","year":2006,"lang":"en","type":"article","venue":"Muscle & Nerve","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; McGill University Health Centre","funders":"","keywords":"Somatosensory system; Sensory system; Anatomy; Neuroscience; Mechanoreceptor; Nociceptor; Medicine; Psychology; Nociception; Internal medicine","score_opus":0.01597404648430146,"score_gpt":0.228070725095817,"score_spread":0.21209667861151554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002522691","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959097,0.000009762694,0.0011918383,0.000063695436,0.0005848356,0.00020324127,0.000021339696,0.00009297819,0.001922602],"genre_scores_gemma":[0.9983159,0.0000070832252,0.000016717982,0.00009386608,0.000070429516,0.000011797265,0.000013253885,0.00002205556,0.0014489052],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99880475,0.00008215805,0.0002619435,0.00034218092,0.00026329476,0.0002456541],"domain_scores_gemma":[0.99945104,0.00007233081,0.00016734363,0.00022293246,0.00004145804,0.000044866312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000708874,0.00014144566,0.00014536113,0.000106532825,0.000117701864,0.00003805711,0.0001464675,0.00007702801,0.00005084558],"category_scores_gemma":[0.000059829075,0.00013310711,0.00008498618,0.00036033546,0.00004104604,0.00018880039,0.000055081982,0.00012256904,0.000040098366],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033938097,0.000118062984,0.00015021887,0.000019098345,0.0000019686627,0.000005858156,0.000012620024,0.00050470873,0.9880705,0.00032209232,0.00006911642,0.010691815],"study_design_scores_gemma":[0.00053222413,0.00014889117,0.033687685,0.000028805875,0.000008696883,0.0000044628623,0.000019903368,0.023751915,0.9396462,0.00173538,0.00028416186,0.00015167048],"about_ca_topic_score_codex":0.00041668813,"about_ca_topic_score_gemma":0.000098281744,"teacher_disagreement_score":0.048424296,"about_ca_system_score_codex":0.000072837625,"about_ca_system_score_gemma":0.000012723435,"threshold_uncertainty_score":0.54279506},"labels":[],"label_agreement":null},{"id":"W2002836450","doi":"10.1073/pnas.1101914108","title":"Targeted mini-strokes produce changes in interhemispheric sensory signal processing that are indicative of disinhibition within minutes","year":2011,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":154,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Michael Smith Health Research BC; Canadian Institutes of Health Research; Heart and Stroke Foundation of British Columbia and Yukon; Heart and Stroke Foundation of Canada","keywords":"Forelimb; Neuroscience; Sensory system; Somatosensory system; Thalamus; Stroke (engine); Stimulation; Disinhibition; Sensory stimulation therapy; Psychology; Cortex (anatomy); Sensory processing; Cerebral cortex; Medicine","score_opus":0.09250458509857272,"score_gpt":0.28136238764551175,"score_spread":0.188857802546939,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002836450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99756753,0.000046526453,0.0000016985492,0.0010958537,0.000020313197,0.00022201272,0.000020916326,0.000011187338,0.0010139435],"genre_scores_gemma":[0.9989034,0.0000113227625,0.0007644008,0.00017219032,0.000026773649,0.000014803554,1.3558312e-7,0.0000049216296,0.00010207564],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983215,0.000017832745,0.0003124751,0.00035428617,0.00084525393,0.00014869207],"domain_scores_gemma":[0.99798244,0.00010481179,0.0017127785,0.000009091991,0.00016625914,0.0000246063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070591236,0.000112153204,0.0001723246,0.00020794838,0.000113221024,0.000016213558,0.00048626633,0.00006522382,0.000011900723],"category_scores_gemma":[0.0009368984,0.000075530545,0.00004291543,0.0009993798,0.001058208,0.0005416665,0.00010453383,0.00016968822,3.1149952e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004454096,0.00008446322,0.020239362,0.000118707336,0.0000019258912,1.956328e-8,0.001365486,0.000015223284,0.97642654,0.0011680657,0.000024700767,0.00051094533],"study_design_scores_gemma":[0.000103052625,0.0000714091,0.08653617,0.0002872266,0.000004902873,0.0000058605597,0.0009052633,0.0021369294,0.9016507,0.008222473,0.0000021308947,0.00007386757],"about_ca_topic_score_codex":0.0000057577618,"about_ca_topic_score_gemma":6.5580275e-7,"teacher_disagreement_score":0.074775845,"about_ca_system_score_codex":0.00002897752,"about_ca_system_score_gemma":0.000028689248,"threshold_uncertainty_score":0.38990116},"labels":[],"label_agreement":null},{"id":"W2002992108","doi":"10.1152/jn.00117.2010","title":"Kinetics of Fast Short-Term Depression Are Matched to Spike Train Statistics to Reduce Noise","year":2010,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Noise (video); Term (time); Spike (software development); Spike train; Depression (economics); Statistics; Audiology; Computer science; Neuroscience; Psychology; Mathematics; Medicine; Artificial intelligence; Physics","score_opus":0.026056202613416287,"score_gpt":0.28721424371049226,"score_spread":0.26115804109707597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002992108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950561,9.0892485e-7,0.0021176694,0.0005886653,0.0019696455,0.00014842929,0.00006560044,0.000009341068,0.00004365959],"genre_scores_gemma":[0.99631447,0.000013494497,0.002051818,0.0011972435,0.00030358447,0.000001977695,0.0000011819095,0.000025717472,0.00009051697],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985942,0.00011654739,0.0005230704,0.0002672263,0.00026015766,0.00023877766],"domain_scores_gemma":[0.99875283,0.00023073958,0.00033868395,0.000266146,0.00018301922,0.00022859145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000042305095,0.00016064712,0.00036838677,0.00019169008,0.000044762695,0.00002072824,0.00038494606,0.000075255484,0.00003508225],"category_scores_gemma":[0.00082359405,0.00012403665,0.000086913155,0.0002393794,0.00007823386,0.00007085398,0.000118195916,0.00044647395,0.000014941516],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032456737,0.00014775769,0.00010734581,0.00001658579,0.000002615844,0.00013765015,0.0000702361,0.0014602678,0.990875,0.00007967764,0.0003206049,0.0064576645],"study_design_scores_gemma":[0.00033011998,0.0021372265,0.21365057,0.000039725062,0.000021452104,0.0003204175,0.000020214491,0.0007403668,0.78140384,0.0004345669,0.0007295153,0.00017198706],"about_ca_topic_score_codex":0.0000017676996,"about_ca_topic_score_gemma":0.0000038197963,"teacher_disagreement_score":0.21354322,"about_ca_system_score_codex":0.000012444482,"about_ca_system_score_gemma":0.000019344114,"threshold_uncertainty_score":0.5058068},"labels":[],"label_agreement":null},{"id":"W2003032348","doi":"10.1016/j.visres.2005.01.015","title":"Spatial frequency channels derived from individual differences","year":2005,"lang":"en","type":"article","venue":"Vision Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada","funders":"U.S. Air Force","keywords":"Contrast (vision); Sensitivity (control systems); Observer (physics); Spatial frequency; Channel (broadcasting); Psychophysics; Bandwidth (computing); Physics; Principal component analysis; Mathematics; Optics; Computer science; Biological system; Statistics; Psychology; Telecommunications; Electronic engineering; Neuroscience; Engineering; Perception; Biology","score_opus":0.13673442367359878,"score_gpt":0.37754212598741604,"score_spread":0.24080770231381726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003032348","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940516,0.000032577955,0.00035200283,0.0030931234,0.00043487884,0.00023131938,0.00005206156,0.00006339093,0.0016890874],"genre_scores_gemma":[0.9982148,0.00007196414,0.0001719741,0.00034352552,0.0005232053,0.000022092592,0.000013190998,0.000014031031,0.00062520837],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99723935,0.0004180472,0.00018936733,0.0005298536,0.0011745424,0.0004488242],"domain_scores_gemma":[0.99869746,0.00076811056,0.00003944224,0.00027097773,0.00007968547,0.00014429833],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00046128788,0.000112942485,0.00012523985,0.00022864284,0.000409477,0.00027382816,0.0004882607,0.0000896631,0.001221804],"category_scores_gemma":[0.0007097376,0.0000869522,0.00004637303,0.00041185904,0.000186204,0.0002418798,0.0002662233,0.0004519143,0.00071425136],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033358807,0.00010637063,0.0012011362,0.0000027349483,0.00000234994,0.000012256725,0.00017909877,0.0000083385985,0.89715546,0.00073692267,0.0007939833,0.09976796],"study_design_scores_gemma":[0.0011315829,0.0011086016,0.15343419,0.000074769036,0.0000065217923,0.000007922144,0.00012611234,0.042738475,0.7744798,0.020684907,0.00575678,0.0004503622],"about_ca_topic_score_codex":0.0006071988,"about_ca_topic_score_gemma":0.00013514196,"teacher_disagreement_score":0.15223305,"about_ca_system_score_codex":0.000039661038,"about_ca_system_score_gemma":0.000048036913,"threshold_uncertainty_score":0.9996912},"labels":[],"label_agreement":null},{"id":"W2003050747","doi":"10.1016/j.brainres.2010.09.001","title":"A metric-based analysis of the contribution of spike timing to contrast and motion direction coding by single neurons in macaque area MT","year":2010,"lang":"en","type":"article","venue":"Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; McGill University","funders":"Canadian Institutes of Health Research","keywords":"Spike (software development); Macaque; Contrast (vision); Spike potential; Stimulus (psychology); Spike train; Coding (social sciences); Neural coding; Neuroscience; Computer science; Pattern recognition (psychology); Artificial intelligence; Mathematics; Biology; Psychology; Statistics","score_opus":0.06915507446300345,"score_gpt":0.3408033927425522,"score_spread":0.2716483182795488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003050747","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99365443,0.000004916768,0.0032725052,0.0022919753,0.00011494932,0.0004210938,0.000046074594,0.000010877849,0.00018315333],"genre_scores_gemma":[0.9996902,0.000003867022,0.000020863747,0.00015235874,0.000010353154,0.000016892078,0.0000076240626,0.0000071775007,0.0000906637],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982935,0.0004347144,0.00024061017,0.0003070772,0.00047708105,0.00024697065],"domain_scores_gemma":[0.9976744,0.001798565,0.00009469522,0.00020489887,0.00016495558,0.000062454616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011993272,0.00007482944,0.00018391742,0.00091980875,0.00014668243,0.000043933895,0.00015077772,0.000065762935,0.000018851078],"category_scores_gemma":[0.008035566,0.000059863713,0.00006334274,0.0040544234,0.00015164909,0.00008334362,0.000073157644,0.00033893387,5.814744e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061062005,0.00010331109,0.011349319,0.000008427342,0.0000056455387,9.903321e-7,0.000032847372,0.00051004166,0.98367935,0.00057459733,0.00012354038,0.003550885],"study_design_scores_gemma":[0.0003867086,0.00015224113,0.13176739,0.00002205189,0.000021301623,0.000001462654,0.00002266367,0.18639185,0.6808835,0.000081330116,0.00020487906,0.00006457705],"about_ca_topic_score_codex":0.0004450487,"about_ca_topic_score_gemma":0.0010532474,"teacher_disagreement_score":0.3027958,"about_ca_system_score_codex":0.000057887,"about_ca_system_score_gemma":0.00002843713,"threshold_uncertainty_score":0.96199036},"labels":[],"label_agreement":null},{"id":"W2003078673","doi":"10.1523/jneurosci.2623-14.2015","title":"Interhemispheric Interactions of the Human Thalamic Reticular Nucleus","year":2015,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Thalamus; Neuroscience; Thalamic reticular nucleus; Human brain; Visual cortex; Nucleus; Stimulus (psychology); Reticular connective tissue; Biology; Lateral geniculate nucleus; Psychology; Anatomy; Cognitive psychology","score_opus":0.05951701942463497,"score_gpt":0.2985220866334052,"score_spread":0.2390050672087702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003078673","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945864,0.0000071672375,0.0003133512,0.0012174847,0.002640734,0.00006367714,0.0000020919592,0.000008117227,0.0011609911],"genre_scores_gemma":[0.9984661,0.000008317136,0.000050388906,0.0007784573,0.00006298022,5.533943e-7,2.5560533e-8,0.000008021177,0.00062520994],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99868697,0.00013187411,0.0003360119,0.00016483413,0.00053202646,0.00014828714],"domain_scores_gemma":[0.99887854,0.00007976278,0.0005680014,0.00024095825,0.00013463706,0.000098104945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027638426,0.000087403976,0.00013812781,0.000066953304,0.00012779965,0.00005651311,0.0007027095,0.000019605774,0.000007430079],"category_scores_gemma":[0.0014260613,0.00005389817,0.00013337415,0.00055493106,0.00029315517,0.00037652845,0.00014449943,0.00030211094,0.0000026870114],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009397432,0.0000613261,0.0005814697,0.0000031501686,4.6455816e-7,0.000017033586,0.00007875314,0.00034155452,0.99755335,0.00053279195,0.00058027584,0.00024042916],"study_design_scores_gemma":[0.00077478116,0.0009715614,0.029214822,0.00014972969,0.00003345931,0.0029993735,0.0001948308,0.012302781,0.9284747,0.0033752413,0.021280786,0.00022791728],"about_ca_topic_score_codex":0.0000033103686,"about_ca_topic_score_gemma":0.0000014233111,"teacher_disagreement_score":0.06907864,"about_ca_system_score_codex":0.00004966147,"about_ca_system_score_gemma":0.00007320304,"threshold_uncertainty_score":0.21979035},"labels":[],"label_agreement":null},{"id":"W2003093860","doi":"10.1016/j.neubiorev.2008.10.006","title":"The neurobiology of sound-specific auditory plasticity: A core neural circuit","year":2008,"lang":"en","type":"review","venue":"Neuroscience & Biobehavioral Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":55,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Auditory cortex; Neuroscience; Tonotopy; Neuroplasticity; Thalamus; Midbrain; Psychology; Plasticity; Central nervous system","score_opus":0.29367280239360766,"score_gpt":0.37473818160608935,"score_spread":0.08106537921248169,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003093860","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012751707,0.9867737,0.000049330534,0.000006462191,0.008788179,0.0026748846,0.00017496472,0.00012396228,0.00013334437],"genre_scores_gemma":[0.0008514278,0.997525,0.000008485898,0.00046515907,0.0004017161,0.00030029303,0.000015982418,0.000101630976,0.0003303113],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9928452,0.000930087,0.0022310158,0.0019732805,0.0008581577,0.0011622538],"domain_scores_gemma":[0.9957326,0.00018659022,0.002303329,0.0013589105,0.00011986734,0.00029867713],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00048311154,0.0010956739,0.0026591218,0.0003297591,0.0011917325,0.00021284517,0.00267285,0.00039995933,0.000036614027],"category_scores_gemma":[0.0017468388,0.00066219515,0.0013264306,0.0023361251,0.0026551115,0.0003071926,0.0005601218,0.0014854309,0.00019365578],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008727265,0.00013163446,0.0000095976875,0.0006315563,1.18771446e-7,0.000057904657,0.0000117671825,0.0000016022142,0.00816892,0.0006302428,0.003685268,0.9866627],"study_design_scores_gemma":[0.00010633056,0.00047058015,0.000049125196,0.0008036482,0.00011250971,0.0007291863,0.0000020618334,0.000041192747,0.000017240221,0.000054794364,0.99705875,0.00055457366],"about_ca_topic_score_codex":0.0000072096623,"about_ca_topic_score_gemma":0.0000058410033,"teacher_disagreement_score":0.9933735,"about_ca_system_score_codex":0.00014904396,"about_ca_system_score_gemma":0.0003192075,"threshold_uncertainty_score":0.99958295},"labels":[],"label_agreement":null},{"id":"W2003237420","doi":"10.1159/000118434","title":"Dynamic EEG Changes during Cigarette Smoking","year":2008,"lang":"en","type":"article","venue":"Neuropsychobiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre","funders":"","keywords":"Electroencephalography; Psychology; Cigarette smoking; Alpha (finance); Audiology; Developmental psychology; Neuroscience; Medicine; Internal medicine; Psychometrics","score_opus":0.026816179997113665,"score_gpt":0.2533093195081236,"score_spread":0.2264931395110099,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003237420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99363256,0.000027249158,0.00003511269,0.0016137789,0.0022057183,0.00015370817,0.000013193059,0.00023551543,0.0020831751],"genre_scores_gemma":[0.9940944,0.00025932989,0.000013659201,0.00399221,0.000086867694,0.000017350356,0.000005261948,0.00003428447,0.0014966796],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984365,0.00016361864,0.00017814916,0.0006583425,0.00012650476,0.00043689457],"domain_scores_gemma":[0.99933624,0.00013116552,0.00009924778,0.00033765432,0.000020248013,0.000075465934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000051842155,0.0001896912,0.00018362752,0.00014134632,0.00046007615,0.000021627236,0.00027065925,0.00010416236,0.00010640333],"category_scores_gemma":[0.00015072172,0.0001709267,0.00006453792,0.00028735763,0.00025770706,0.000077434655,0.00008486288,0.00031910546,0.00007977974],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050578077,0.000030842155,0.0015744339,0.0000060700404,0.0000030671592,0.00021079656,0.0000573428,0.000021078447,0.9962579,0.00022511373,0.00018475823,0.0013780355],"study_design_scores_gemma":[0.0027403587,0.0012789179,0.76614267,0.000040794854,0.00003222105,0.008537318,0.000022603515,0.004534288,0.1676287,0.00096807524,0.046815127,0.0012588953],"about_ca_topic_score_codex":0.000004669199,"about_ca_topic_score_gemma":0.0000123575655,"teacher_disagreement_score":0.8286292,"about_ca_system_score_codex":0.000028345987,"about_ca_system_score_gemma":0.00001306531,"threshold_uncertainty_score":0.6970188},"labels":[],"label_agreement":null},{"id":"W2003428906","doi":"10.1073/pnas.1418224112","title":"Coding of envelopes by correlated but not single-neuron activity requires neural variability","year":2015,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Institute on Deafness and Other Communication Disorders; Canadian Institutes of Health Research; Government of Canada","keywords":"ENCODE; Pairwise comparison; Neural coding; Coding (social sciences); Decoding methods; Neural activity; Computer science; Population; Sensory system; Neural decoding; Encoding (memory); Neuroscience; Artificial intelligence; Biology; Algorithm; Mathematics; Genetics","score_opus":0.1052550352528338,"score_gpt":0.30235773237256847,"score_spread":0.19710269711973466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003428906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99411327,0.000006139715,0.0000054525076,0.0025781118,0.00010351853,0.0001728076,0.000039679562,0.000019179919,0.0029618533],"genre_scores_gemma":[0.9993864,0.000006777049,0.00011202996,0.00030540713,0.000028121274,0.000003318103,9.920457e-8,0.00000447745,0.00015332621],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99771965,0.000038517166,0.00035704742,0.00036858473,0.0013449424,0.00017125889],"domain_scores_gemma":[0.9984589,0.00052642525,0.0006793757,0.000013820835,0.00026752133,0.000053909145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001650268,0.00011224577,0.00018645237,0.00010753483,0.00016522473,0.000030998148,0.00071466656,0.00008130867,0.0000048301777],"category_scores_gemma":[0.006120263,0.00007724044,0.0000671733,0.000831509,0.0011499358,0.00080828345,0.00020856077,0.00021120584,6.17272e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006563699,0.00008610888,0.0015567676,0.00003105414,0.0000019380586,6.6481136e-9,0.00006139923,0.00014715106,0.9890953,0.008117059,0.00032049956,0.0005171173],"study_design_scores_gemma":[0.00016816825,0.00013419823,0.01131344,0.000031185144,0.0000067833844,0.000007969336,0.000027871285,0.022562189,0.9559541,0.009666214,0.000049615526,0.00007827299],"about_ca_topic_score_codex":0.000016200884,"about_ca_topic_score_gemma":4.4434806e-8,"teacher_disagreement_score":0.03314117,"about_ca_system_score_codex":0.000053211905,"about_ca_system_score_gemma":0.000039138784,"threshold_uncertainty_score":0.73269683},"labels":[],"label_agreement":null},{"id":"W2003435281","doi":"10.1167/12.9.573","title":"An alternative to explicit divisive normalization models","year":2012,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Normalization (sociology); Computer science; Probabilistic logic; Inference; Neural coding; Artificial intelligence; Coding (social sciences); Theoretical computer science; Algorithm; Mathematics","score_opus":0.042688354121033126,"score_gpt":0.3243759836671012,"score_spread":0.2816876295460681,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003435281","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9054387,0.000012001306,0.092974916,0.0002449962,0.0008341628,0.00007731222,0.0000027136753,0.000008226477,0.00040693517],"genre_scores_gemma":[0.9981365,0.00003188197,0.00044280323,0.00094369,0.00038294256,8.567383e-7,6.531708e-7,0.000010081404,0.00005057419],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990737,0.00008808306,0.00023220736,0.0000962345,0.00035394012,0.00015584237],"domain_scores_gemma":[0.9993187,0.000063744395,0.00022214954,0.00009903569,0.00011286504,0.0001834845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002666375,0.000073682706,0.00010292869,0.00015059572,0.000079816506,0.00005018464,0.0001567844,0.000027076143,0.000022282542],"category_scores_gemma":[0.00012953384,0.000054630997,0.00004902209,0.0001770447,0.000007957479,0.0018042215,0.000034291916,0.00010322616,0.000019384988],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010263638,0.00018307235,0.00031997846,0.0000029625319,0.0000021517028,0.0000071096674,0.0010312767,0.02023161,0.9619399,0.0061266306,0.00035001608,0.009702665],"study_design_scores_gemma":[0.001239537,0.0045962506,0.031999998,0.00018057488,0.00003610469,0.00035197512,0.00033084935,0.45514983,0.48948753,0.013566727,0.0025842239,0.00047640482],"about_ca_topic_score_codex":0.0000032196233,"about_ca_topic_score_gemma":5.2248464e-7,"teacher_disagreement_score":0.47245237,"about_ca_system_score_codex":0.000045884986,"about_ca_system_score_gemma":0.000009129495,"threshold_uncertainty_score":0.22277874},"labels":[],"label_agreement":null},{"id":"W2003461144","doi":"10.1016/j.expneurol.2012.08.019","title":"Synchronization of beta and gamma oscillations in the somatosensory evoked neuromagnetic steady-state response","year":2012,"lang":"en","type":"article","venue":"Experimental Neurology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Baycrest Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Heart and Stroke Foundation of Canada","keywords":"Magnetoencephalography; Stimulus (psychology); Neuroscience; Somatosensory system; Physics; Electroencephalography; Beta Rhythm; Sensory stimulation therapy; Rhythm; Stimulation; Sensory system; Electrophysiology; Psychology; Communication; Cognitive psychology","score_opus":0.022553764322913155,"score_gpt":0.2636865612407442,"score_spread":0.24113279691783104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003461144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978561,0.00013875471,0.000013957487,0.000977074,0.00033778558,0.00027471667,0.000007034453,0.000022452985,0.000372155],"genre_scores_gemma":[0.998408,0.000019221952,0.000010666102,0.0014336173,0.000029096032,0.000017898707,0.0000018586207,0.000013985199,0.00006563984],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983059,0.00085014314,0.00021717658,0.0002334946,0.0001501462,0.00024309344],"domain_scores_gemma":[0.99909383,0.00057281536,0.00008713176,0.0001941401,0.000008470365,0.00004360777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020701293,0.00011114112,0.000118795375,0.00011398702,0.000095869524,0.00001639551,0.00011866817,0.000042880947,0.000025912213],"category_scores_gemma":[0.00013973437,0.00008892149,0.00002598929,0.00021901223,0.00020803437,0.00016632938,0.00006869549,0.00013138643,0.0000103650555],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034424584,0.00014496509,0.0056154775,0.000003979781,7.0239787e-7,0.0000131568195,0.0011993763,0.00008139504,0.99120826,0.0011919081,0.0000327817,0.00016374659],"study_design_scores_gemma":[0.0016600471,0.002638752,0.5467599,0.000007263841,0.0000085397805,0.00075504417,0.00035728162,0.014494905,0.43119273,0.00036795513,0.0014480165,0.00030954753],"about_ca_topic_score_codex":0.000010506651,"about_ca_topic_score_gemma":0.000003299997,"teacher_disagreement_score":0.56001556,"about_ca_system_score_codex":0.000009559838,"about_ca_system_score_gemma":0.000010235734,"threshold_uncertainty_score":0.36261132},"labels":[],"label_agreement":null},{"id":"W2003487400","doi":"10.1016/j.neubiorev.2011.02.002","title":"Cortical tonotopic map plasticity and behavior","year":2011,"lang":"en","type":"review","venue":"Neuroscience & Biobehavioral Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":85,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Heritage Foundation for Medical Research","keywords":"Tonotopy; Auditory cortex; Sensory system; Neuroscience; Psychology; Neuroplasticity; Auditory system; Relevance (law); Cognitive psychology","score_opus":0.23599127121895358,"score_gpt":0.38709740496064987,"score_spread":0.1511061337416963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003487400","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011059759,0.99279004,0.000051418087,0.0000025377453,0.0026413712,0.0029945644,0.0001054247,0.00014919651,0.00015949555],"genre_scores_gemma":[0.00024126135,0.9976691,0.00008912122,0.0005538251,0.000135281,0.0006529185,0.000008876494,0.000072702576,0.00057693967],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.994951,0.0005091517,0.0013075765,0.0019282561,0.0004594772,0.0008445422],"domain_scores_gemma":[0.99802077,0.000025355994,0.0007232155,0.0007047726,0.00003249933,0.0004933643],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004032937,0.00090087,0.002050149,0.00027092482,0.00048150218,0.0002956799,0.00096569967,0.00037035512,0.00018707775],"category_scores_gemma":[0.0008762785,0.0006449675,0.00060324906,0.0007382695,0.0008573755,0.00040650036,0.00053174485,0.0011730087,0.0004014843],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024767662,0.0002121349,0.000024616258,0.0014180082,3.001257e-8,0.000079477904,0.0000078913135,8.064285e-9,0.0023358015,0.00068940216,0.00020813018,0.995022],"study_design_scores_gemma":[0.0000858021,0.0003244012,0.00024415128,0.001445134,0.0006103798,0.00033516934,0.0000010165926,0.000012644739,0.000018595585,0.000017948032,0.996279,0.00062576076],"about_ca_topic_score_codex":0.000017814471,"about_ca_topic_score_gemma":0.000005534521,"teacher_disagreement_score":0.99607086,"about_ca_system_score_codex":0.00009675911,"about_ca_system_score_gemma":0.00014318188,"threshold_uncertainty_score":0.9996002},"labels":[],"label_agreement":null},{"id":"W2003624730","doi":"10.1089/cpb.2006.9983","title":"Presence as Determined by Fractal Perceptual-Motor Dynamics","year":2007,"lang":"en","type":"article","venue":"CyberPsychology & Behavior","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; International Centre for Comparative Criminology; Computer Research Institute of Montréal; Université du Québec en Outaouais; Institut national de psychiatrie légale Philippe-Pinel","funders":"Canadian Institutes of Health Research; Université du Québec en Outaouais","keywords":"Gaze; Fractal; Dynamics (music); Computation; Perception; Fractal dimension; Computer science; Feeling; Fractal analysis; Computer vision; Artificial intelligence; Psychology; Cognitive psychology; Mathematics; Neuroscience; Mathematical analysis; Algorithm; Social psychology","score_opus":0.021257455623391548,"score_gpt":0.31458380664725105,"score_spread":0.2933263510238595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003624730","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99083096,0.000014553643,0.0002705392,0.00037255572,0.0020935426,0.00050091697,0.000076982935,0.00019434294,0.00564559],"genre_scores_gemma":[0.9878109,0.000016822123,0.00014614747,0.0025682712,0.00012236046,0.00006269485,0.00003472844,0.000048244074,0.00918981],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99768084,0.00009936809,0.000385702,0.00085754093,0.000311541,0.000665003],"domain_scores_gemma":[0.9987171,0.00031613914,0.00014943858,0.00053893536,0.00004683747,0.00023150284],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021257883,0.00027630327,0.00023097421,0.00014566541,0.00024149468,0.000057327234,0.0004904686,0.0002870984,0.00052710756],"category_scores_gemma":[0.00029605406,0.00026763167,0.00012856613,0.00028999534,0.00039145633,0.00025306677,0.00009927842,0.00047093004,0.0005734488],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012060537,0.0003378129,0.004281432,3.6603916e-7,0.0000017046124,0.00026268233,0.000088252404,3.031131e-7,0.8542232,0.00043499825,0.0014737741,0.1387749],"study_design_scores_gemma":[0.0027494445,0.0023548852,0.8399639,0.000031543284,0.00011699134,0.0015098528,0.00035208522,0.0017676487,0.12837654,0.00016425943,0.02098123,0.0016316295],"about_ca_topic_score_codex":0.000050419985,"about_ca_topic_score_gemma":0.000070605485,"teacher_disagreement_score":0.83568245,"about_ca_system_score_codex":0.00010737371,"about_ca_system_score_gemma":0.000021479049,"threshold_uncertainty_score":0.9999776},"labels":[],"label_agreement":null},{"id":"W2003965344","doi":"10.1212/wnl.57.11.1947","title":"As time goes by","year":2001,"lang":"en","type":"letter","venue":"Neurology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"","keywords":"Neuroscience; Brain function; Psychology","score_opus":0.012887407876953135,"score_gpt":0.22392545124567537,"score_spread":0.21103804336872223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003965344","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031143142,0.00001975218,0.000007258499,0.93195045,0.0021037073,0.00021708984,0.000084448664,0.00017603264,0.034298137],"genre_scores_gemma":[0.0010513819,0.00008520967,0.0000015409239,0.92764103,0.001880407,0.000018529858,0.000093307324,0.00006748141,0.0691611],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978133,0.00030177954,0.00021752594,0.000873471,0.0002685502,0.00052537053],"domain_scores_gemma":[0.9988837,0.0004899327,0.0001471017,0.00041503285,0.000016716327,0.000047471505],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000044551587,0.00029657164,0.00030489467,0.00011968981,0.00010725037,0.000050725143,0.00044953174,0.00084733526,0.0020705748],"category_scores_gemma":[0.00019342796,0.00026914282,0.000114015835,0.00016782802,0.00015936795,0.00006479923,0.00011195484,0.0020492917,0.007370468],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003565227,0.000013781833,0.000006090731,0.000006302383,0.0000021905457,0.0015279013,0.0000019312834,0.0000016803036,0.068156384,0.00003444212,0.92962086,0.00059277075],"study_design_scores_gemma":[0.00013686785,0.00072102697,0.000008926054,0.0000016406603,0.000011594039,0.0007953624,2.61915e-8,0.0003119118,0.0015599221,0.0012981513,0.99494106,0.00021354423],"about_ca_topic_score_codex":0.000036323647,"about_ca_topic_score_gemma":0.0000013984418,"teacher_disagreement_score":0.06659646,"about_ca_system_score_codex":0.000011817526,"about_ca_system_score_gemma":0.000023964603,"threshold_uncertainty_score":0.9999761},"labels":[],"label_agreement":null},{"id":"W2004354217","doi":"10.1371/journal.pone.0064208","title":"Manipulation of BDNF Signaling Modifies the Experience-Dependent Plasticity Induced by Pure Tone Exposure during the Critical Period in the Primary Auditory Cortex","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; National Institutes of Health; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Auditory cortex; Neuroplasticity; Tone (literature); Period (music); Neuroscience; Audiology; Structural plasticity; Pure tone; Biology; Psychology; Medicine; Hearing loss; Physics","score_opus":0.048395558571777075,"score_gpt":0.24763162508200792,"score_spread":0.19923606651023085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004354217","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99755156,0.000022397122,0.000049494654,0.0015415429,0.00015175439,0.00052061793,0.0000065559148,0.000024622892,0.00013146167],"genre_scores_gemma":[0.9991985,0.000012622286,0.000010680764,0.00039609318,0.00014169273,0.0001484551,0.0000018502653,0.000011927931,0.00007819731],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99833345,0.00023916567,0.0002780224,0.0002661946,0.000661915,0.00022123002],"domain_scores_gemma":[0.99889386,0.0006804918,0.000096718846,0.00024454956,0.0000560759,0.00002830749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016652604,0.0001253967,0.00014849598,0.000033306187,0.0003492291,0.000113806214,0.00036202036,0.000064549946,0.000082985156],"category_scores_gemma":[0.0005398206,0.00006648627,0.000038986414,0.00016571497,0.0001871944,0.00026211014,0.0000870152,0.00034826485,0.000012531736],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027672026,0.00030300088,0.0006699157,0.000040581723,0.0000046452374,0.0000028077538,0.0022169075,0.000096345444,0.99627393,0.00027887116,0.000014836273,0.000070465176],"study_design_scores_gemma":[0.0005185843,0.0003004103,0.2580743,0.00014224641,0.000048142883,0.000017832952,0.004140294,0.01922488,0.7163982,0.0008455974,0.0000061868823,0.00028331243],"about_ca_topic_score_codex":0.000052623138,"about_ca_topic_score_gemma":0.0000115630255,"teacher_disagreement_score":0.27987576,"about_ca_system_score_codex":0.000045317003,"about_ca_system_score_gemma":0.000017074608,"threshold_uncertainty_score":0.27112314},"labels":[],"label_agreement":null},{"id":"W2004381525","doi":"10.1371/journal.pone.0006142","title":"Rhythms of Consciousness: Binocular Rivalry Reveals Large-Scale Oscillatory Network Dynamics Mediating Visual Perception","year":2009,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":186,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"RIKEN Brain Science Institute; RIKEN; Natural Sciences and Engineering Research Council of Canada","keywords":"Neuroscience; Rhythm; Binocular rivalry; Consciousness; Perception; Psychology; Prefrontal cortex; Posterior parietal cortex; Physics; Synchronization (alternating current); Cognitive psychology; Visual perception; Computer science; Cognition","score_opus":0.023915919812535793,"score_gpt":0.2421796753335405,"score_spread":0.21826375552100472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004381525","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975261,0.00003745814,0.0007722042,0.00036752212,0.0002205641,0.0003174163,0.000037692535,0.00012835467,0.00059268135],"genre_scores_gemma":[0.9968023,0.00012252352,0.0012773384,0.0010613723,0.00035852022,0.000007905295,0.00002730898,0.000023701321,0.00031904335],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997995,0.00016168684,0.0004066343,0.00043262448,0.00059168664,0.000412343],"domain_scores_gemma":[0.9991223,0.00017371147,0.0002515977,0.0002694936,0.00008099365,0.0001018635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039094556,0.00017719697,0.00034548764,0.0000905761,0.00022080081,0.00003302688,0.00015296068,0.00012400212,0.000049282084],"category_scores_gemma":[0.00033922953,0.00017465756,0.000094231786,0.00038942107,0.000076592485,0.00019677625,0.00006021265,0.00023121283,0.000031262916],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041077004,0.0007168595,0.010089867,0.000068177775,0.000012730035,0.000010499132,0.00016927415,0.00039144,0.9852416,0.0014547544,0.00006722651,0.001736498],"study_design_scores_gemma":[0.0016278448,0.0012289861,0.0863414,0.0005676227,0.0002071264,0.00002737005,0.00032606957,0.85405034,0.047038533,0.0076256376,0.00007873616,0.00088032515],"about_ca_topic_score_codex":0.000005223009,"about_ca_topic_score_gemma":0.000011466177,"teacher_disagreement_score":0.93820304,"about_ca_system_score_codex":0.000096037584,"about_ca_system_score_gemma":0.000026453334,"threshold_uncertainty_score":0.7122328},"labels":[],"label_agreement":null},{"id":"W2004606256","doi":"10.1016/j.heares.2010.04.003","title":"Areas of cat auditory cortex as defined by neurofilament proteins expressing SMI-32","year":2010,"lang":"en","type":"article","venue":"Hearing Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":55,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; National Institute on Deafness and Other Communication Disorders; Canadian Institutes of Health Research","keywords":"Auditory cortex; Tonotopy; Neuroscience; Sulcus; Soma; Cortex (anatomy); Biology; Cerebral cortex; Anatomy; Neurofilament; Auditory system; Immunohistochemistry","score_opus":0.08084662961082734,"score_gpt":0.35404323423049,"score_spread":0.27319660461966266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004606256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940423,0.000010327359,0.000033491255,0.00052290177,0.0006935073,0.0004490877,0.0000071961363,0.000058453217,0.004182752],"genre_scores_gemma":[0.99674344,0.000019688332,0.00015053082,0.000107508,0.00016790033,0.00005589409,0.0000032942025,0.000030081415,0.0027216398],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99751395,0.00022211304,0.00023315186,0.0005250947,0.0009807679,0.00052493496],"domain_scores_gemma":[0.9985965,0.0005527095,0.000071637616,0.00048716328,0.00012641934,0.0001655907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071384746,0.00012177721,0.0001512469,0.00018557745,0.00038195017,0.00012770026,0.0003328985,0.000091098314,0.00013332153],"category_scores_gemma":[0.0019303882,0.00011088117,0.00005322705,0.00037714088,0.0002989381,0.00014870254,0.0002840825,0.0007840002,0.00010096152],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004468942,0.00015614615,0.0010640956,0.00004173545,0.0000013286591,0.00001988064,0.000080180864,0.000005820214,0.99388963,0.00088047644,0.0018626102,0.001953384],"study_design_scores_gemma":[0.00032518158,0.00033780973,0.015722144,0.00006130166,0.000002391448,0.000034264012,0.000040216088,0.0038834822,0.96955615,0.0008009513,0.009081048,0.0001550511],"about_ca_topic_score_codex":0.0004259763,"about_ca_topic_score_gemma":0.000020953548,"teacher_disagreement_score":0.024333494,"about_ca_system_score_codex":0.000051709107,"about_ca_system_score_gemma":0.00013355221,"threshold_uncertainty_score":0.4521603},"labels":[],"label_agreement":null},{"id":"W2004659126","doi":"10.1016/j.heares.2004.05.011","title":"Stimulus dependence of spectro-temporal receptive fields in cat primary auditory cortex","year":2004,"lang":"en","type":"article","venue":"Hearing Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":76,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Receptive field; Stimulus (psychology); Spectrogram; Auditory cortex; Neuroscience; Audiology; Psychology; Physics; Speech recognition; Computer science; Medicine","score_opus":0.0956620372057668,"score_gpt":0.35889917274005884,"score_spread":0.26323713553429207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004659126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99409777,0.000016963617,0.00015314684,0.0005350906,0.0003125802,0.00025907942,0.0000030066135,0.000025751006,0.0045966418],"genre_scores_gemma":[0.9986957,0.00006665159,0.00020044895,0.00009244657,0.00010298782,0.000013778082,0.0000017950848,0.000012354871,0.00081384403],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9980929,0.0001731672,0.00021347079,0.0004005474,0.0006953501,0.00042456202],"domain_scores_gemma":[0.9991457,0.0004038775,0.000041756062,0.00025742137,0.000073950556,0.0000773044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074544677,0.00008482418,0.00014794232,0.00026221958,0.00012094182,0.00003221592,0.00025053415,0.00008432309,0.00005232231],"category_scores_gemma":[0.0006234292,0.00008134921,0.000037960424,0.00060155825,0.00019875086,0.00016091528,0.00019953554,0.0005897926,0.000056968765],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017865938,0.000166299,0.0067197643,0.000069904156,0.0000016517879,0.00015953583,0.00035473867,0.0010056718,0.9868425,0.0019425096,0.00018541576,0.0023733277],"study_design_scores_gemma":[0.0020467236,0.0016091585,0.5585898,0.00039004956,0.0000035237958,0.00008153022,0.0002586466,0.0053356746,0.4091044,0.021583717,0.000565237,0.00043153783],"about_ca_topic_score_codex":0.0013189899,"about_ca_topic_score_gemma":0.00049204996,"teacher_disagreement_score":0.5777381,"about_ca_system_score_codex":0.00033974554,"about_ca_system_score_gemma":0.00025054853,"threshold_uncertainty_score":0.33173245},"labels":[],"label_agreement":null},{"id":"W2004841036","doi":"10.1109/iembs.2011.6091462","title":"The Volterra-Wiener approach in neuronal modeling","year":2011,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of California, Los Angeles; Loker Hydrocarbon Research Institute, University of Southern California; Dalhousie University; University of Cyprus","keywords":"Nonlinear system identification; A priori and a posteriori; Computer science; Nonlinear system; Neurophysiology; System identification; Context (archaeology); Identification (biology); Volterra series; Data modeling; Neuroscience","score_opus":0.10260404107318416,"score_gpt":0.2393647931473686,"score_spread":0.13676075207418445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004841036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.887179,0.0000043001037,0.0147299,0.00017854078,0.00034601724,0.00011314212,5.8472244e-7,0.00004797083,0.0974005],"genre_scores_gemma":[0.9977123,0.000011655556,0.0001645288,0.00079810823,0.000024960396,0.000010399604,3.0258508e-7,0.000007377144,0.0012703511],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993307,0.000045509292,0.00011300884,0.00021662396,0.00011769216,0.00017647205],"domain_scores_gemma":[0.99976075,0.0000436638,0.000017053484,0.00014463604,0.0000076169476,0.000026310778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011755368,0.000062004634,0.000043435386,0.000035430483,0.00011461715,0.000031483392,0.00017330855,0.000020358159,0.000024126452],"category_scores_gemma":[0.000049877734,0.000035687215,0.000026700514,0.00014880067,0.000034327168,0.00011305548,0.000053057498,0.00011331168,0.000019907577],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025424903,0.00050918566,0.0027716067,0.00001434577,0.000003684437,0.000025011244,0.0009868846,0.023063263,0.34446514,0.59928906,0.00067032775,0.027947208],"study_design_scores_gemma":[0.00008700696,0.000024159926,0.00080019736,9.0073763e-7,6.963743e-7,0.000006321934,0.000025558738,0.99254626,0.0031166559,0.003159097,0.00017436073,0.000058762176],"about_ca_topic_score_codex":0.00004981589,"about_ca_topic_score_gemma":0.000019747737,"teacher_disagreement_score":0.969483,"about_ca_system_score_codex":0.000008509234,"about_ca_system_score_gemma":0.0000076214665,"threshold_uncertainty_score":0.14552824},"labels":[],"label_agreement":null},{"id":"W2004938303","doi":"10.1371/journal.pone.0107992","title":"Delayed Early Primary Visual Pathway Development in Premature Infants: High Density Electrophysiological Evidence","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Parvocellular cell; Audiology; Electroencephalography; Electrophysiology; Visual system; Stimulation; Neuroscience; Medicine; Psychology; Central nervous system; Visual cortex","score_opus":0.03386121855186732,"score_gpt":0.22339693664132837,"score_spread":0.18953571808946104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004938303","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99914193,0.000014101931,0.00014162525,0.00017429476,0.00006014287,0.0002861407,0.0000015899419,0.00009158218,0.00008861041],"genre_scores_gemma":[0.9973716,0.00003460163,0.0009509541,0.0013816315,0.00006830233,0.000030440464,0.0000060842494,0.000012958025,0.00014344054],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982892,0.00021052068,0.00024646803,0.00049000164,0.00043223455,0.00033157566],"domain_scores_gemma":[0.9992626,0.00033806288,0.000089973306,0.00018586434,0.000048964517,0.00007455972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020060102,0.0001582365,0.0002521351,0.000068107904,0.00011269728,0.000046719942,0.00020148433,0.00011239916,0.000017616285],"category_scores_gemma":[0.0008762233,0.0001283829,0.000029341882,0.00027229474,0.000048824684,0.0002298677,0.00012907185,0.00034754322,0.000079112026],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003105487,0.000564783,0.0014367047,0.000034930632,0.0000060464104,0.000012729736,0.000040179515,0.000006893405,0.99543715,0.00035945277,0.0000073354404,0.0017832234],"study_design_scores_gemma":[0.00024068289,0.00071484834,0.30159423,0.00016521546,0.00000771228,0.0000028592137,7.357186e-7,0.0018549039,0.69449687,0.0007006134,0.000018590848,0.00020272798],"about_ca_topic_score_codex":0.000022348806,"about_ca_topic_score_gemma":0.000021517115,"teacher_disagreement_score":0.30094028,"about_ca_system_score_codex":0.000102516286,"about_ca_system_score_gemma":0.00005174436,"threshold_uncertainty_score":0.5235303},"labels":[],"label_agreement":null},{"id":"W2005235722","doi":"10.1371/journal.pbio.1001558","title":"Multiplexing Stimulus Information through Rate and Temporal Codes in Primate Somatosensory Cortex","year":2013,"lang":"en","type":"article","venue":"PLoS Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":179,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Science Foundation","keywords":"Somatosensory system; Stimulus (psychology); Neuroscience; Biology; Perception; Primate; Electrophysiology; Neurophysiology; Psychology; Cognitive psychology","score_opus":0.032849735412322036,"score_gpt":0.2635721289467965,"score_spread":0.23072239353447446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005235722","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99823403,0.000009289272,0.00020085847,0.00041158142,0.00014704959,0.0003066547,0.000017387514,0.00006274967,0.00061040546],"genre_scores_gemma":[0.9982184,0.000048317514,0.0002821277,0.0013458217,0.000016568167,0.000026686614,0.000022726068,0.0000054196616,0.000033903132],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992549,0.00010832885,0.00021386264,0.00017957076,0.00004158941,0.00020176132],"domain_scores_gemma":[0.99957013,0.00019539153,0.00009177015,0.00009204877,0.000022197539,0.000028433358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006622755,0.00009516381,0.0001342934,0.000065847285,0.00007170315,0.0000441221,0.00006758845,0.00007127881,0.000026316737],"category_scores_gemma":[0.0002729752,0.00007633813,0.00001435951,0.00009599024,0.000110581044,0.0005836465,0.00006175553,0.00010500662,0.000107443746],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022013994,0.00002911952,0.020758692,0.000023529996,0.0000019829567,0.0000021516785,0.00020690524,0.000030426125,0.9743487,0.002670765,0.0000375642,0.0018680986],"study_design_scores_gemma":[0.0024552841,0.00050341873,0.20054051,0.00006430012,0.000009879129,0.00006157389,0.0002520852,0.52431226,0.24274114,0.026208278,0.0022259129,0.00062535884],"about_ca_topic_score_codex":0.00015361396,"about_ca_topic_score_gemma":0.000019668056,"teacher_disagreement_score":0.7316076,"about_ca_system_score_codex":0.000017498407,"about_ca_system_score_gemma":0.000010019888,"threshold_uncertainty_score":0.31129786},"labels":[],"label_agreement":null},{"id":"W2005265691","doi":"10.1016/j.heares.2010.01.014","title":"Context dependence of spectro-temporal receptive fields with implications for neural coding","year":2010,"lang":"en","type":"review","venue":"Hearing Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Alberta Heritage Foundation for Medical Research","keywords":"Receptive field; Stimulus (psychology); Speech recognition; Neural coding; Auditory system; Computer science; Coding (social sciences); Psychology; Communication; Acoustics; Neuroscience; Physics; Cognitive psychology; Mathematics","score_opus":0.3491418785346908,"score_gpt":0.46517809457798026,"score_spread":0.11603621604328945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005265691","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012173344,0.9538695,0.0043777595,0.0032615918,0.0018212909,0.016046131,0.0007082796,0.000334257,0.0074078217],"genre_scores_gemma":[0.08787328,0.9090793,0.00036694945,0.000050350034,0.00025234473,0.00058244553,0.000035286008,0.000079359044,0.0016806914],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977585,0.0002509154,0.0003847938,0.00066877075,0.00040999867,0.0005270046],"domain_scores_gemma":[0.99641925,0.0025032393,0.00019796424,0.00051807205,0.0002495117,0.000111985384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081660354,0.00021146603,0.0006360085,0.00031251356,0.00037662397,0.000107193955,0.0005198982,0.00024131151,0.000026403339],"category_scores_gemma":[0.0010815121,0.0001579852,0.00019081813,0.00065722544,0.000278287,0.00012100169,0.00018572278,0.0015407803,0.000014215914],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006706882,0.000065049346,0.000079243,0.0037106343,0.000012265265,0.000006931682,0.00005440119,0.0000027861192,0.004285655,0.017194802,0.00028595116,0.97423524],"study_design_scores_gemma":[0.00059573236,0.0017552216,0.00020298493,0.006389903,0.000105205916,0.00035306363,0.00006196376,0.0011037455,0.0028970914,0.0027280925,0.983067,0.0007400151],"about_ca_topic_score_codex":0.000111079506,"about_ca_topic_score_gemma":0.00019195066,"teacher_disagreement_score":0.98278105,"about_ca_system_score_codex":0.000092123635,"about_ca_system_score_gemma":0.00031383111,"threshold_uncertainty_score":0.66940093},"labels":[],"label_agreement":null},{"id":"W2005283617","doi":"10.1152/jn.90392.2008","title":"Functional Architecture and Spike Timing Properties of Corticofugal Projections From Rat Ventral Temporal Cortex","year":2008,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Neuroscience; Sensory system; Temporal lobe; Sensory processing; Cortex (anatomy); Biology; Anatomy","score_opus":0.05541192074662615,"score_gpt":0.2363601049896544,"score_spread":0.18094818424302825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005283617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981903,0.000027582217,0.00017097694,0.00028650326,0.0011946699,0.0000911877,0.000008124543,0.000011014836,0.000019633038],"genre_scores_gemma":[0.9990391,0.00008852767,0.00010541962,0.0003325565,0.00030913015,0.0000015461571,0.0000014529954,0.000012327451,0.00010993641],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989293,0.00012916826,0.00038837947,0.00020042057,0.00019529021,0.00015740827],"domain_scores_gemma":[0.99929047,0.00009879465,0.00036388508,0.000097929595,0.00008234317,0.00006655767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000021028469,0.000120799064,0.00026456174,0.000121666024,0.00015655722,0.000010600406,0.000102346195,0.000049465376,0.000022569908],"category_scores_gemma":[0.00021382638,0.00008633108,0.00010376261,0.00013368257,0.00031701985,0.00013297131,0.00004876035,0.0003374333,0.0000026658113],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047961896,0.00009364134,0.0007772851,0.000010108109,0.000009025154,0.000119559314,0.000083796935,0.0009687297,0.99696666,0.00003480188,0.000063814296,0.0003929626],"study_design_scores_gemma":[0.0021930973,0.004729952,0.6528298,0.00010261581,0.00009823546,0.008298512,0.00007311999,0.009135391,0.3189001,0.0015823027,0.0016610079,0.0003958611],"about_ca_topic_score_codex":0.00001829984,"about_ca_topic_score_gemma":0.0000013110388,"teacher_disagreement_score":0.67806655,"about_ca_system_score_codex":0.000013213013,"about_ca_system_score_gemma":0.00008192803,"threshold_uncertainty_score":0.35204792},"labels":[],"label_agreement":null},{"id":"W2005291336","doi":"10.1186/1471-2202-8-s2-p46","title":"Synchronization, multistability and clustering: How useful are predictions from phase models?","year":2007,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Multistability; Computer science; Synchronization (alternating current); Kuramoto model; Synchronization networks; Stability (learning theory); Representation (politics); Cluster analysis; Limit (mathematics); Construct (python library); Carry (investment); Topology (electrical circuits); Statistical physics; Network model; Phase (matter); Artificial intelligence; Mathematics; Physics; Machine learning; Mathematical analysis; Computer network; Combinatorics","score_opus":0.07395492792127734,"score_gpt":0.2857933736618704,"score_spread":0.21183844574059307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005291336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57517636,0.0000104112805,0.42329141,0.00020612746,0.0007582306,0.00021677595,0.00010208012,0.00013049638,0.00010809052],"genre_scores_gemma":[0.9984598,0.000030928735,0.0004651741,0.0007178429,0.00008750886,0.00000990202,0.0000043013256,0.000017501228,0.00020702276],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99800986,0.0000871298,0.0002226762,0.0009235448,0.00038824696,0.00036853715],"domain_scores_gemma":[0.9988483,0.00034697668,0.00014981061,0.00039157583,0.000056743036,0.00020655448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025215137,0.00017624357,0.000138762,0.0001002761,0.0005247132,0.00026165572,0.0002743007,0.0000573551,0.000009125326],"category_scores_gemma":[0.001214366,0.00016621858,0.000040428695,0.0005627528,0.00040336154,0.0008987328,0.00013676865,0.00016715749,0.0000031246936],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000103172395,0.00037984317,0.015916206,0.000030887146,5.7743483e-7,0.000037966518,0.00016169294,0.009848575,0.96983427,0.00076821394,0.00013543361,0.002783185],"study_design_scores_gemma":[0.00064681034,0.00012238041,0.052221183,0.00001267735,0.000006992101,0.00003674688,0.000050160204,0.930226,0.014993189,0.00066877314,0.00082068716,0.00019434863],"about_ca_topic_score_codex":0.000028517248,"about_ca_topic_score_gemma":0.00018843776,"teacher_disagreement_score":0.9548411,"about_ca_system_score_codex":0.000054793538,"about_ca_system_score_gemma":0.000039786595,"threshold_uncertainty_score":0.6778197},"labels":[],"label_agreement":null},{"id":"W2005306631","doi":"10.1186/1471-2202-11-s1-p146","title":"Climbing-fiber induced state transitions in cerebellar Purkinje cells are controlled by synaptic conductance changes","year":2010,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary","funders":"","keywords":"Excitatory postsynaptic potential; Purkinje cell; Neuroscience; Bistability; Tonic (physiology); Parallel fiber; Physics; Climbing fiber; Sawtooth wave; Inhibitory postsynaptic potential; Biophysics; Computer science; Cerebellum; Biology; Telecommunications","score_opus":0.034601152929793134,"score_gpt":0.2525418551120371,"score_spread":0.21794070218224396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005306631","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99462754,0.000012115785,0.00014421878,0.0014093204,0.0022944226,0.00088008866,0.00010190094,0.00012996522,0.00040044368],"genre_scores_gemma":[0.9954576,0.000037898277,0.000055573833,0.002852694,0.000048379286,0.00008981279,0.0000018836064,0.00003430851,0.0014218588],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9970072,0.00024967166,0.00039614027,0.0011025303,0.0005302368,0.00071423425],"domain_scores_gemma":[0.9986183,0.00036535124,0.00026662464,0.000491365,0.000052777206,0.00020558547],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00039746278,0.00030671738,0.0003970107,0.0002231485,0.00035852176,0.00022107034,0.0006000295,0.00010774626,0.000067794186],"category_scores_gemma":[0.00076083577,0.0002777543,0.00009548889,0.0010053373,0.00037350305,0.00040749105,0.00007852575,0.0006705786,0.000072919116],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008066893,0.00015448744,0.0002195762,0.000014963172,5.073367e-7,0.00003583228,0.00006274497,0.00013872773,0.99865997,0.00023830471,0.00012200321,0.0002722384],"study_design_scores_gemma":[0.0039251745,0.0004361575,0.0036782513,0.0000438919,0.000016969032,0.00009262368,0.000054437365,0.036951736,0.94959205,0.00058473466,0.0038878326,0.0007361545],"about_ca_topic_score_codex":0.000021418122,"about_ca_topic_score_gemma":0.0005673046,"teacher_disagreement_score":0.049067907,"about_ca_system_score_codex":0.00003381819,"about_ca_system_score_gemma":0.000082746265,"threshold_uncertainty_score":0.99996746},"labels":[],"label_agreement":null},{"id":"W2005333357","doi":"10.1523/jneurosci.2844-09.2009","title":"Pattern Motion Selectivity of Spiking Outputs and Local Field Potentials in Macaque Visual Cortex","year":2009,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research","keywords":"Macaque; Local field potential; Visual cortex; Neuroscience; Superior temporal sulcus; Extrastriate cortex; Sensory system; Motion perception; Afferent; Visual system; Receptive field; Computer science; Pattern recognition (psychology); Perception; Artificial intelligence; Psychology","score_opus":0.020524863504277506,"score_gpt":0.2816460063290212,"score_spread":0.2611211428247437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005333357","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94638413,0.0000073625542,0.052261762,0.000759765,0.00046826332,0.00006785679,0.000001069343,0.000005481814,0.000044319302],"genre_scores_gemma":[0.99812245,0.000050729122,0.000020852154,0.0017451962,0.000041433148,2.0642754e-7,3.9381238e-8,0.000003752051,0.00001531877],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99872744,0.00011329394,0.00036877958,0.00022900185,0.00037795864,0.00018353421],"domain_scores_gemma":[0.9993139,0.0001386776,0.00035684102,0.000070650276,0.000049553793,0.0000704068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002916616,0.000091706235,0.0001880738,0.00020918298,0.00006485388,0.000049053087,0.00016673395,0.00004190932,0.0000025395775],"category_scores_gemma":[0.0005889355,0.00007712775,0.000050928833,0.00040252914,0.00008974187,0.00044948,0.00003509424,0.0002623799,3.206061e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033698805,0.00010508993,0.003967287,0.000005893804,1.6597e-7,0.00007961748,0.000028506674,0.00021985543,0.9324238,0.00006653066,0.0000076879205,0.06306191],"study_design_scores_gemma":[0.000412235,0.0020892355,0.55003554,0.000061028582,0.000005657835,0.000621267,0.000012560381,0.044778194,0.40101907,0.00082792545,0.000027406884,0.000109885725],"about_ca_topic_score_codex":0.000012422275,"about_ca_topic_score_gemma":0.0000061105625,"teacher_disagreement_score":0.54606825,"about_ca_system_score_codex":0.000024188143,"about_ca_system_score_gemma":0.00003118647,"threshold_uncertainty_score":0.31451783},"labels":[],"label_agreement":null},{"id":"W2005341942","doi":"10.1186/1471-2202-15-s1-p141","title":"Simulating stimulus- and TMS-induced interference in short-term memory using a model of prefrontal cortex","year":2014,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Prefrontal cortex; Stimulus (psychology); Sensory system; Interference theory; Neuroscience; Short-term memory; Working memory; Somatosensory system; Computer science; Psychology; Cognitive psychology; Cognition","score_opus":0.10884844571962658,"score_gpt":0.30648659864499106,"score_spread":0.19763815292536446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005341942","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.970892,0.0000022682586,0.028292667,0.000009906196,0.00032145117,0.00023222924,0.0000067346355,0.00003457593,0.00020813789],"genre_scores_gemma":[0.99923635,0.0000028038653,0.0004578415,0.00022427992,0.000018115485,0.000004441142,2.7130085e-7,0.00001529814,0.000040580555],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99817586,0.00013376595,0.00035062036,0.00071437686,0.00029303815,0.00033232398],"domain_scores_gemma":[0.9992298,0.00027120463,0.00009714874,0.00028008717,0.00002580041,0.00009594362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026871296,0.00017507336,0.00021961863,0.00015542262,0.0001353323,0.00006948758,0.00032950295,0.000048539987,0.0000018303122],"category_scores_gemma":[0.0009268252,0.00016339724,0.000039107406,0.00035922576,0.00023809729,0.00044423627,0.0002661331,0.00018997365,6.840784e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026391708,0.000042603024,0.005414442,0.000025449197,9.085852e-8,0.0000026486737,0.000110504516,0.04179127,0.95118433,0.00022755071,1.9094801e-7,0.001174507],"study_design_scores_gemma":[0.00020899257,0.00015572367,0.034596436,0.000044714874,0.0000031044556,0.000017078626,0.000013634823,0.87662715,0.08798912,0.0002003931,2.7748712e-7,0.00014336374],"about_ca_topic_score_codex":0.00002804722,"about_ca_topic_score_gemma":0.000051634266,"teacher_disagreement_score":0.86319524,"about_ca_system_score_codex":0.00003344185,"about_ca_system_score_gemma":0.00005937912,"threshold_uncertainty_score":0.6663146},"labels":[],"label_agreement":null},{"id":"W2005365696","doi":"10.1016/j.neuron.2011.09.019","title":"Polyrhythms of the Brain","year":2011,"lang":"en","type":"letter","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"National Institute of Mental Health","keywords":"Ventral tegmental area; Neuroscience; Hippocampus; Working memory; Prefrontal cortex; Neuron; Psychology; Mechanism (biology); Cognition; Dopamine; Physics","score_opus":0.03455286157349409,"score_gpt":0.22831498797549152,"score_spread":0.19376212640199741,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005365696","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03558801,0.000013467404,0.000010957049,0.93970555,0.0059389765,0.00042709286,0.00008087663,0.00007902556,0.018156055],"genre_scores_gemma":[0.037475016,0.000011601533,0.000003235479,0.9390271,0.0010184924,0.000007921738,0.000004619602,0.00005032985,0.02240171],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99858224,0.00021484855,0.0002028969,0.0004159151,0.00034186995,0.00024220598],"domain_scores_gemma":[0.99885345,0.0002546548,0.0002374476,0.0006200996,0.000016047714,0.000018304885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004811788,0.00018740218,0.00017799276,0.00006095851,0.00007794147,0.000019549372,0.00048998767,0.00024791397,0.00011188912],"category_scores_gemma":[0.00029578904,0.00012170569,0.00017500274,0.00018885575,0.00013994171,0.000051095303,0.0001535067,0.0011336314,0.000059586124],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000062433646,0.000009955565,0.000013860467,0.000036878337,0.0000011735393,0.000056792986,0.000015492384,0.0000010638015,0.1223339,0.00026760125,0.87635964,0.00089740544],"study_design_scores_gemma":[0.00009133513,0.000094822484,0.0007369644,0.000025663781,0.000011070755,0.00006476111,3.3654266e-7,0.000077215496,0.043641254,0.0007558846,0.9543602,0.00014052619],"about_ca_topic_score_codex":0.000028698913,"about_ca_topic_score_gemma":0.0000023170164,"teacher_disagreement_score":0.078692645,"about_ca_system_score_codex":0.000013496989,"about_ca_system_score_gemma":0.000028486622,"threshold_uncertainty_score":0.4963014},"labels":[],"label_agreement":null},{"id":"W2005456749","doi":"10.1007/s00221-001-0970-z","title":"A re-examination of the possibility of controlling the firing rate gain of neurons by balancing excitatory and inhibitory conductances","year":2001,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Neuroscience; Conductance; Chemistry; Neuron; Membrane potential; Physics; Biology","score_opus":0.06817277816762982,"score_gpt":0.35552840059062346,"score_spread":0.2873556224229936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005456749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972521,0.000544352,0.000014491997,0.00074047106,0.00012615773,0.00043274384,0.000014990067,0.000006848859,0.0008678298],"genre_scores_gemma":[0.99956226,0.000031195817,0.000006738657,0.00014743375,0.000022379842,0.000017822436,7.720137e-7,0.000009065249,0.00020231298],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974688,0.0012395001,0.00029975566,0.0002773935,0.00050592376,0.000208583],"domain_scores_gemma":[0.99721724,0.0022545948,0.00015326083,0.00026362075,0.00007656135,0.000034702854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021539638,0.000084704916,0.00014999555,0.000066065746,0.00024077386,0.000022664613,0.00024346668,0.000035102108,0.000019884079],"category_scores_gemma":[0.0014287253,0.000054058175,0.000050054598,0.00036762175,0.00088889606,0.00014626449,0.0001672676,0.0002351901,3.8720046e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009832604,0.000076256314,0.0011856732,0.000023701554,0.0000025805587,0.0000012158883,0.0010674075,0.00002090605,0.9964146,0.00037519762,0.0001643023,0.00056983705],"study_design_scores_gemma":[0.0004390989,0.00019352189,0.013497134,0.000046979756,0.0000013173404,0.0000026269065,0.0023652834,0.005597431,0.9775066,0.0002438161,0.000057765865,0.000048427642],"about_ca_topic_score_codex":0.00006723576,"about_ca_topic_score_gemma":0.000013938193,"teacher_disagreement_score":0.018907998,"about_ca_system_score_codex":0.00004454643,"about_ca_system_score_gemma":0.00003735123,"threshold_uncertainty_score":0.32751745},"labels":[],"label_agreement":null},{"id":"W2005752243","doi":"10.1073/pnas.1102118108","title":"Stimulus-specific suppression preserves information in auditory short-term memory","year":2011,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":88,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Medical Research Council","keywords":"Auditory cortex; Stimulus (psychology); Neuroscience; Perception; Sensory system; Cognition; Psychology; Auditory perception; Functional magnetic resonance imaging; Encoding (memory); Cognitive psychology; Audiology; Medicine","score_opus":0.08201430191556403,"score_gpt":0.29123150310972096,"score_spread":0.20921720119415693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005752243","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9861279,0.000012828973,0.0000012772929,0.000356552,0.000116023846,0.00019356169,0.000009128118,0.0000134558595,0.013169231],"genre_scores_gemma":[0.9994932,0.00003342188,0.00017998848,0.00015202546,0.000051155068,0.000009690265,1.1192851e-7,0.0000024155445,0.000077985176],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983696,0.000011518083,0.00034447806,0.00019116778,0.00094478024,0.00013846287],"domain_scores_gemma":[0.9994794,0.00010993875,0.00027008392,0.000009951977,0.000104467996,0.000026129488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007197719,0.000080289654,0.00009903529,0.00024049431,0.0001448035,0.000026849759,0.00073126,0.000066278546,0.000029423416],"category_scores_gemma":[0.0005194354,0.000052884392,0.00004732312,0.0006078229,0.000518679,0.0020230918,0.00017424814,0.00016504606,0.0000027690357],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035224002,0.00004799157,0.0050130812,0.00003859425,8.3742935e-7,8.78584e-9,0.0004028365,0.0001206165,0.9804608,0.012154237,0.00076830835,0.00095746014],"study_design_scores_gemma":[0.000111429144,0.000043535667,0.24491882,0.00006424869,0.0000015863818,0.0000037443217,0.000084377636,0.0038714882,0.73624307,0.01445674,0.00013297172,0.00006797907],"about_ca_topic_score_codex":0.0000035907185,"about_ca_topic_score_gemma":6.309095e-8,"teacher_disagreement_score":0.24421772,"about_ca_system_score_codex":0.000029264495,"about_ca_system_score_gemma":0.000015921705,"threshold_uncertainty_score":0.21565628},"labels":[],"label_agreement":null},{"id":"W2005753623","doi":"10.1371/journal.pone.0094570","title":"The Importance of Stimulus Noise Analysis for Self-Motion Studies","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Max-Planck-Gesellschaft; National Research Foundation of Korea; Bundesministerium für Bildung und Forschung; National Research Foundation","keywords":"Noise (video); Computer science; Motion (physics); Inertial frame of reference; Amplitude; Stimulus (psychology); Motion simulator; Simulation; Artificial intelligence; Physics; Psychology","score_opus":0.06848575653450258,"score_gpt":0.27275635196412623,"score_spread":0.20427059542962367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005753623","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99720335,0.000042741856,0.0014558223,0.00082282105,0.000063900734,0.00021242896,0.0000078917255,0.000037950576,0.00015307461],"genre_scores_gemma":[0.99887615,0.00012738099,0.00037825125,0.00020094124,0.000046776844,0.00003065501,0.0000017927254,0.0000058608803,0.00033216723],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931717,0.000046565416,0.00016038165,0.00017619156,0.00018693144,0.00011276423],"domain_scores_gemma":[0.9989325,0.00062573253,0.00012879784,0.0001992274,0.0000943789,0.000019403167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023641349,0.000058404486,0.00015552557,0.00004317847,0.00016406005,0.000015309743,0.000101046455,0.00001674872,0.0000023550635],"category_scores_gemma":[0.0010718915,0.00003850026,0.00007068231,0.00030655795,0.00004704523,0.000054335673,0.00002698592,0.000037306792,0.0000031198408],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000104846804,0.00096126256,0.04516688,0.00017459264,0.00093452027,5.928969e-7,0.00021275815,0.00071477896,0.9374928,0.01198132,0.00013583,0.0021198362],"study_design_scores_gemma":[0.00058240705,0.0005086326,0.02456941,0.000030307934,0.0016721094,3.8824197e-7,0.000056945424,0.5161653,0.44792128,0.008019724,0.00027221598,0.00020127244],"about_ca_topic_score_codex":0.0000012857769,"about_ca_topic_score_gemma":0.000028884413,"teacher_disagreement_score":0.51545054,"about_ca_system_score_codex":0.000016669885,"about_ca_system_score_gemma":0.0000040917757,"threshold_uncertainty_score":0.1569995},"labels":[],"label_agreement":null},{"id":"W2006073292","doi":"10.1007/s10548-009-0119-0","title":"Gender Differences in Brain Functional Organization During Verbal and Spatial Cognitive Challenges","year":2009,"lang":"en","type":"article","venue":"Brain Topography","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Hospital Edmonton; University of Alberta","funders":"","keywords":"Electroencephalography; Cognition; Psychology; Coherence (philosophical gambling strategy); Brain function; Developmental psychology; Cognitive psychology; Brain activity and meditation; Spatial ability; Audiology; Neuroscience; Medicine","score_opus":0.03257994859185899,"score_gpt":0.2284982688053502,"score_spread":0.1959183202134912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006073292","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99385,0.00012369009,0.0006218494,0.0042222636,0.000210746,0.00018490452,0.000010814443,0.0000772691,0.00069849746],"genre_scores_gemma":[0.9979899,0.00021190582,0.000008516404,0.0015845114,0.000121303645,0.0000057184275,0.000011138201,0.000010850037,0.000056159526],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987962,0.00011971967,0.00017010733,0.00046182415,0.00022519627,0.00022692558],"domain_scores_gemma":[0.9994502,0.00030604628,0.00006251572,0.00008203802,0.000034613226,0.00006458434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010084828,0.00015361875,0.00013749713,0.00028303434,0.0001639532,0.000062606785,0.000070914335,0.00007722573,0.000053890737],"category_scores_gemma":[0.0004047744,0.0001445474,0.00004064825,0.0005337699,0.00008843502,0.00019433528,0.000031622552,0.00014771706,0.000004930463],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036655384,0.0007235617,0.15276538,0.000104303166,0.000030098481,0.00012615274,0.003048469,0.00003133813,0.6643329,0.02404687,0.00031106765,0.15411328],"study_design_scores_gemma":[0.00079188496,0.00014202349,0.98817515,0.000022391767,0.0000046671453,0.000029687466,0.00015133659,0.00039734796,0.0061228555,0.0039325473,0.000043192707,0.00018688405],"about_ca_topic_score_codex":0.000016990436,"about_ca_topic_score_gemma":0.000054559605,"teacher_disagreement_score":0.8354098,"about_ca_system_score_codex":0.000013513608,"about_ca_system_score_gemma":0.000014117078,"threshold_uncertainty_score":0.5894472},"labels":[],"label_agreement":null},{"id":"W2006123057","doi":"10.1103/physreve.72.061919","title":"Theory of oscillatory firing induced by spatially correlated noise and delayed inhibitory feedback","year":2005,"lang":"en","type":"article","venue":"Physical Review E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":184,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Noise (video); Oscillation (cell signaling); Spectral density; Anharmonicity; Physics; Control theory (sociology); Statistical physics; Population; Computer science; Telecommunications; Quantum mechanics","score_opus":0.021228697426469316,"score_gpt":0.26685664446037366,"score_spread":0.24562794703390434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006123057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99494106,0.003200361,0.00004900806,0.00035200937,0.00011719114,0.00026816688,0.0000113931965,0.000037138165,0.0010236654],"genre_scores_gemma":[0.9948964,0.003111746,0.000011914137,0.0017736561,0.00009206412,0.000008384411,0.0000027880346,0.000015474896,0.000087577864],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99893844,0.00015202527,0.000252264,0.0002918877,0.00020793347,0.0001574731],"domain_scores_gemma":[0.99922365,0.00032839956,0.00015242201,0.00018093844,0.000030144533,0.000084466556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017707326,0.00013648582,0.00028725417,0.000018092129,0.000059010305,0.000011559033,0.000096922544,0.00003091717,0.000023353505],"category_scores_gemma":[0.00043793648,0.00010990007,0.00008274878,0.00018295807,0.00008614375,0.00014861778,0.000070950206,0.00018948565,0.000045998728],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023386512,0.00008635214,0.000016769041,0.00016881888,0.000003874821,7.9243046e-7,0.000033133707,0.000009433869,0.8948439,0.0020458028,0.00041962118,0.10234811],"study_design_scores_gemma":[0.002533038,0.0012942135,0.0052951435,0.0045038317,0.00037742086,0.000036342903,0.000015106309,0.047599915,0.88895965,0.012932942,0.03486694,0.0015854632],"about_ca_topic_score_codex":0.000003802685,"about_ca_topic_score_gemma":0.0000013149353,"teacher_disagreement_score":0.10076265,"about_ca_system_score_codex":0.000023250146,"about_ca_system_score_gemma":0.000019317331,"threshold_uncertainty_score":0.4481595},"labels":[],"label_agreement":null},{"id":"W2006257129","doi":"10.1155/2015/493769","title":"Estimating Latent Attentional States Based on Simultaneous Binary and Continuous Behavioral Measures","year":2015,"lang":"en","type":"article","venue":"Computational Intelligence and Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University; National Science Foundation","keywords":"Computer science; Inference; Hidden Markov model; Artificial intelligence; Machine learning; Multinomial distribution; Binary data; Binary number; Probabilistic logic; Pattern recognition (psychology); Statistics; Mathematics","score_opus":0.11235938178572002,"score_gpt":0.3267789677954709,"score_spread":0.21441958600975086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006257129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8864882,0.000033536944,0.111590646,0.00078838476,0.0007092632,0.00021717093,0.000029297687,0.00008333931,0.000060138038],"genre_scores_gemma":[0.99612224,0.000013088304,0.0015276803,0.0021909638,0.00003254462,0.000008466312,0.0000075389803,0.000010390984,0.0000870942],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983006,0.00008882743,0.00022789958,0.00058760267,0.00056480267,0.00023023399],"domain_scores_gemma":[0.9988698,0.00063020136,0.00009396277,0.00009482975,0.000117324606,0.00019389906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002017159,0.00016329781,0.000127632,0.00012282895,0.00030971313,0.0002021305,0.00015669668,0.000032341843,0.0000044372714],"category_scores_gemma":[0.00063642074,0.00014232345,0.000028688906,0.00026854133,0.00042033044,0.0002241397,0.000079961654,0.00014842144,0.000010480526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004913994,0.000121181285,0.00095674885,0.000005876242,2.823864e-7,0.00006928088,0.000059194066,0.9756872,0.009286826,0.0011193287,0.000035028963,0.012609902],"study_design_scores_gemma":[0.00012230419,0.00072806596,0.0014485596,0.000024734649,0.000004450144,0.00008542074,0.000022748229,0.98920465,0.00257814,0.0055160397,0.00010481347,0.00016008456],"about_ca_topic_score_codex":0.000012024336,"about_ca_topic_score_gemma":0.0000011328701,"teacher_disagreement_score":0.110062964,"about_ca_system_score_codex":0.000022335851,"about_ca_system_score_gemma":0.00005097847,"threshold_uncertainty_score":0.5803782},"labels":[],"label_agreement":null},{"id":"W2006299824","doi":"10.3389/fncom.2010.00135","title":"Measuring neuronal branching patterns using model-based approach","year":2010,"lang":"en","type":"article","venue":"Frontiers in Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Heritage Foundation for Medical Research","keywords":"Branching (polymer chemistry); Computer science; Neuroscience; Psychology; Chemistry","score_opus":0.05839547521002736,"score_gpt":0.25720619068823886,"score_spread":0.1988107154782115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006299824","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4948812,0.0000011037649,0.502984,0.00010392578,0.0017214956,0.0001225651,0.000014278674,0.000045030887,0.00012638808],"genre_scores_gemma":[0.9479374,0.0000010735332,0.049878158,0.0020595745,0.00006637851,0.000009487862,0.000004390663,0.000024551078,0.000018938672],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99758005,0.00010892472,0.00030323458,0.00085391355,0.0007319549,0.00042192542],"domain_scores_gemma":[0.999365,0.00013103879,0.00012732101,0.00021200943,0.000041409996,0.00012325349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028112746,0.00020523914,0.00017490103,0.0003573514,0.00037515818,0.00017977698,0.00051903643,0.000059887425,0.0000034149307],"category_scores_gemma":[0.00039624327,0.00021234491,0.0000744525,0.0006725754,0.00022927886,0.000612976,0.000093657865,0.00059227826,9.515047e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001390772,0.00007836393,0.007826501,0.000010544802,1.7613625e-7,0.000007816649,0.00001650613,0.7751343,0.21517146,0.0011052915,0.000014909006,0.000620213],"study_design_scores_gemma":[0.00032420727,0.000022984155,0.010276412,0.000009954567,0.0000022839938,0.000031583306,0.000004051574,0.9823362,0.0033475002,0.0033999316,0.00003281631,0.00021207402],"about_ca_topic_score_codex":0.000007110079,"about_ca_topic_score_gemma":0.0000020658447,"teacher_disagreement_score":0.45310587,"about_ca_system_score_codex":0.00005031353,"about_ca_system_score_gemma":0.00016124992,"threshold_uncertainty_score":0.8659174},"labels":[],"label_agreement":null},{"id":"W2006402114","doi":"10.1523/jneurosci.0179-13.2013","title":"NMDA-Dependent Phase Synchronization between Septal and Temporal CA3 Hippocampal Networks","year":2013,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"Canadian Institutes of Health Research; Faculty of Medicine, McGill University; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"NMDA receptor; Neuroscience; Hippocampal formation; Hippocampus; Synaptic plasticity; GABAA receptor; Biology; Receptor","score_opus":0.028191859985512588,"score_gpt":0.2753624096626391,"score_spread":0.24717054967712648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006402114","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97822106,0.000028606873,0.019589797,0.0006311205,0.001231752,0.00018084432,0.0000051351353,0.000021590135,0.00009012449],"genre_scores_gemma":[0.998432,0.000079922116,0.00008085426,0.00091629993,0.00031112068,0.0000021247408,5.923978e-7,0.000014011026,0.00016308874],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99825925,0.00013217358,0.00044537665,0.0003184417,0.0005378041,0.0003069575],"domain_scores_gemma":[0.9989037,0.00016004677,0.0004481543,0.00014088525,0.0001004939,0.00024672473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028888753,0.00015257514,0.00020769819,0.00015437526,0.00024994172,0.00030414964,0.00032503557,0.000055057717,0.000025703006],"category_scores_gemma":[0.00047266853,0.00011960299,0.00008523103,0.00041344963,0.00022256224,0.0011610971,0.00010039539,0.00034517286,0.000007675415],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033889977,0.00016972673,0.010248234,0.000013406711,0.000002449706,0.000093359,0.000070564965,0.0016901525,0.9503047,0.00014805984,0.0005120352,0.036713462],"study_design_scores_gemma":[0.0057742675,0.006959467,0.26086688,0.00016887963,0.000105482526,0.0027629165,0.00012830588,0.6792511,0.03603261,0.0033231734,0.0034463673,0.0011805765],"about_ca_topic_score_codex":0.0000105519575,"about_ca_topic_score_gemma":0.0000013205612,"teacher_disagreement_score":0.91427207,"about_ca_system_score_codex":0.00004292328,"about_ca_system_score_gemma":0.000058158003,"threshold_uncertainty_score":0.48772684},"labels":[],"label_agreement":null},{"id":"W2006491974","doi":"10.1523/jneurosci.1388-06.2006","title":"Nonlinear Interaction between Shunting and Adaptation Controls a Switch between Integration and Coincidence Detection in Pyramidal Neurons","year":2006,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":153,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Howard Hughes Medical Institute","keywords":"Conductance; Neuroscience; Subthreshold conduction; Membrane potential; Chemistry; Physics; Biophysics; Voltage; Biology","score_opus":0.04036535652220609,"score_gpt":0.2817426192983858,"score_spread":0.2413772627761797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006491974","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98357546,0.000013353731,0.015274813,0.00050249696,0.00041978515,0.00015958237,0.0000047989147,0.00001674227,0.000032962475],"genre_scores_gemma":[0.9992463,0.000041273393,0.00025531874,0.00018311913,0.00024364772,0.0000020284078,5.9494175e-7,0.000010594249,0.000017115563],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99828124,0.00016797095,0.0006259475,0.00033390685,0.00038008983,0.00021084954],"domain_scores_gemma":[0.99860877,0.0005470843,0.0006040307,0.00008092994,0.00008242961,0.00007676781],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054472516,0.00014106382,0.00022580789,0.00035823774,0.00019026347,0.00023481704,0.00013327987,0.000056307723,6.1976675e-7],"category_scores_gemma":[0.0013073552,0.00012356031,0.00004074999,0.0005109131,0.00015452584,0.0014129886,0.000049243026,0.00044788735,6.8066197e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039111852,0.000024322593,0.020826712,0.0000061423043,3.451771e-7,0.000025350533,0.0000556699,0.00037073984,0.9460513,0.00005357581,0.0000013721981,0.03254537],"study_design_scores_gemma":[0.0007059542,0.0007224931,0.6858906,0.000081943734,0.000021704542,0.00049414614,0.00009094315,0.21809237,0.092629395,0.0009324212,0.00016753764,0.0001704622],"about_ca_topic_score_codex":0.00009924775,"about_ca_topic_score_gemma":0.000105913896,"teacher_disagreement_score":0.85342187,"about_ca_system_score_codex":0.00005694735,"about_ca_system_score_gemma":0.00003503798,"threshold_uncertainty_score":0.50386435},"labels":[],"label_agreement":null},{"id":"W2006492222","doi":"10.1371/journal.pone.0108154","title":"The Neural Code for Auditory Space Depends on Sound Frequency and Head Size in an Optimal Manner","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Oxford; National Institute on Deafness and Other Communication Disorders; York University; Wellcome Trust; Medical Research Council; W. M. Keck Foundation","keywords":"Neurophysiology; Neural coding; Coding (social sciences); Bioacoustics; Computer science; Sound localization; Auditory system; Stimulus (psychology); Acoustics; Speech recognition; Biological system; Mathematics; Physics; Biology; Statistics; Neuroscience; Artificial intelligence; Psychology; Cognitive psychology","score_opus":0.0583548628950202,"score_gpt":0.2655697144786623,"score_spread":0.20721485158364208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006492222","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99678963,0.000010216875,0.000060027065,0.0021753826,0.00024065332,0.00026172833,0.000019141155,0.00003604495,0.0004071678],"genre_scores_gemma":[0.9979412,0.000013537578,0.0003027922,0.00076588994,0.00025844254,0.000042198575,0.0000018450736,0.000018317836,0.00065575534],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99904794,0.000096603726,0.00011731751,0.00031150528,0.00019034697,0.00023626948],"domain_scores_gemma":[0.99878013,0.0008823034,0.000050026025,0.00020453469,0.000021636348,0.000061381346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018436243,0.00010350177,0.00011100264,0.000029706596,0.00022729,0.00009344613,0.00013804942,0.000044252094,0.0000063123525],"category_scores_gemma":[0.00064870756,0.00007545544,0.000022388225,0.000069795904,0.00007992167,0.0001521093,0.000028792552,0.000153725,0.000007428263],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034867664,0.0005814525,0.002880078,0.00003889433,0.0000060814114,0.000006453345,0.00009490082,0.00027554616,0.9833084,0.010037197,0.00014834,0.0022739987],"study_design_scores_gemma":[0.004017166,0.0065553132,0.09021813,0.0001473199,0.000080037025,0.000020867194,0.00009328658,0.71035564,0.15572548,0.029861951,0.0019170773,0.0010077376],"about_ca_topic_score_codex":0.000007240989,"about_ca_topic_score_gemma":0.00029678462,"teacher_disagreement_score":0.8275829,"about_ca_system_score_codex":0.000023571689,"about_ca_system_score_gemma":0.00000733316,"threshold_uncertainty_score":0.30769834},"labels":[],"label_agreement":null},{"id":"W2006570783","doi":"10.1089/brain.2014.0252","title":"Using the Virtual Brain to Reveal the Role of Oscillations and Plasticity in Shaping Brain's Dynamical Landscape","year":2014,"lang":"en","type":"article","venue":"Brain Connectivity","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"","keywords":"Neuroscience; Resting state fMRI; Computer science; Asynchronous communication; Synchronization (alternating current); Network dynamics; Connectome; Brain activity and meditation; Coherence (philosophical gambling strategy); Neuroplasticity; Physics; Functional connectivity; Electroencephalography; Biology; Mathematics","score_opus":0.0334290177870401,"score_gpt":0.2739766427408781,"score_spread":0.24054762495383797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006570783","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9767406,0.0000050168337,0.008521953,0.013580834,0.0001268324,0.00037040902,0.00002569316,0.000030714218,0.0005979202],"genre_scores_gemma":[0.9958981,5.5666914e-7,0.00005695706,0.0038820382,0.00008166823,0.000010634735,9.864791e-7,0.000014918322,0.0000541197],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998109,0.0006917434,0.00023606098,0.00043035203,0.00025130846,0.00028156085],"domain_scores_gemma":[0.98918384,0.0103610745,0.0001090818,0.0002433989,0.00003110332,0.000071490496],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00094710797,0.00015302672,0.00020870582,0.000103451435,0.00035986747,0.00007441757,0.000221996,0.00007119786,0.000010099192],"category_scores_gemma":[0.010297617,0.00010143826,0.000054654276,0.0004909172,0.00019525515,0.0001469199,0.00021046039,0.00027360744,0.0000025862387],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000934764,0.0000633422,0.010648927,0.000010270861,0.0000047249864,0.0000016298402,0.0005652457,0.0071009477,0.9178303,0.05275904,0.00019981351,0.010722301],"study_design_scores_gemma":[0.00049907906,0.00022201859,0.10573799,0.000043351192,0.00000812413,0.00003694286,0.00024396957,0.87748945,0.007448611,0.0065757483,0.0014733498,0.00022138465],"about_ca_topic_score_codex":0.00017619437,"about_ca_topic_score_gemma":0.0009059619,"teacher_disagreement_score":0.9103817,"about_ca_system_score_codex":0.00004090916,"about_ca_system_score_gemma":0.00003722162,"threshold_uncertainty_score":0.99803907},"labels":[],"label_agreement":null},{"id":"W2006908652","doi":"10.1017/s0140525x03460020","title":"Combating fuzziness with computational modeling","year":2003,"lang":"en","type":"article","venue":"Behavioral and Brain Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Mental Health; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; VA Pittsburgh Healthcare System; Canada Research Chairs; McGill University; National Alliance for Research on Schizophrenia and Depression; American Psychological Association","keywords":"Abnormality; Schizophrenia (object-oriented programming); Mechanism (biology); Psychology; Neuroscience; Relation (database); Cognitive psychology; Computer science; Psychiatry; Data mining; Epistemology","score_opus":0.09597253232263266,"score_gpt":0.317275052121917,"score_spread":0.22130251979928434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006908652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942199,0.000007823541,0.0038260014,0.00077471934,0.000096874355,0.00008653737,0.0000029185364,0.000037094072,0.00094811176],"genre_scores_gemma":[0.9968802,0.0000014660974,0.0023302457,0.00066145626,0.000012251298,0.0000052416663,9.590942e-7,0.0000042367287,0.00010395154],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990351,0.00006103929,0.00010970469,0.00032933487,0.00028268644,0.00018210565],"domain_scores_gemma":[0.9997108,0.00012011788,0.000041627824,0.000046926678,0.000025473086,0.000055059703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002594558,0.00008862145,0.00007964155,0.000055626922,0.0005286217,0.00015601797,0.000092183465,0.000020022317,0.000016023327],"category_scores_gemma":[0.00006667638,0.00005897871,0.000015288106,0.00034706038,0.00026723905,0.0002809966,0.000021879248,0.000066339475,0.0000028930585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069145935,0.00059667707,0.067759976,0.000041143532,0.0000033777674,0.000082330764,0.001007876,0.15692276,0.3098137,0.42519632,0.00021421479,0.03829248],"study_design_scores_gemma":[0.0009307875,0.0009971756,0.003378427,0.00005631876,0.000014934857,0.00036153253,0.00073458924,0.96279234,0.0070936223,0.022543764,0.0004914687,0.00060504343],"about_ca_topic_score_codex":0.000018864926,"about_ca_topic_score_gemma":0.000010310495,"teacher_disagreement_score":0.8058696,"about_ca_system_score_codex":0.0000064603405,"about_ca_system_score_gemma":0.000034867033,"threshold_uncertainty_score":0.40657845},"labels":[],"label_agreement":null},{"id":"W2007208966","doi":"10.1162/0899766054615653","title":"Optimal Signal Estimation in Neuronal Models","year":2005,"lang":"en","type":"article","venue":"Neural Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sigmoid function; Mathematics; Fisher information; Estimator; SIGNAL (programming language); Interval (graph theory); Inflection point; Point process; Parametric statistics; Estimation theory; Point estimation; Parametric model; Statistics; Algorithm; Applied mathematics; Computer science; Artificial neural network; Artificial intelligence; Combinatorics","score_opus":0.03834749147326083,"score_gpt":0.2748419196945802,"score_spread":0.23649442822131939,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007208966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92100793,0.000004117,0.07682867,0.0010918527,0.00018089861,0.00017831536,0.000003487204,0.00009771223,0.0006070261],"genre_scores_gemma":[0.9962148,0.0000021847661,0.002554402,0.0010494364,0.00007640544,0.000009540385,0.000015773829,0.0000137624675,0.000063684056],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988728,0.000100617974,0.0002381767,0.00032654675,0.00026290386,0.00019893184],"domain_scores_gemma":[0.9996419,0.0001471862,0.00007599655,0.000065222426,0.000023200828,0.00004649673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000081072234,0.00011752861,0.000096862736,0.00013977932,0.0000885475,0.000071866656,0.00009344774,0.00004122012,0.000023503437],"category_scores_gemma":[0.000041226227,0.00011728578,0.000039373568,0.00027200874,0.000030188014,0.00075799285,0.0000315854,0.00017562034,0.000047237478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003477596,0.000040891115,0.000026140777,0.0000031677741,2.8845722e-7,0.0000049053674,0.000053627813,0.90019447,0.042439032,0.0011968341,0.000053924792,0.05595193],"study_design_scores_gemma":[0.000366817,0.00009982479,0.002069684,0.000005018458,0.0000020807863,0.000023448809,0.000003488321,0.98733747,0.0075603966,0.002384136,0.000035805904,0.00011185783],"about_ca_topic_score_codex":0.0000085711745,"about_ca_topic_score_gemma":0.000007942747,"teacher_disagreement_score":0.08714296,"about_ca_system_score_codex":0.00005909448,"about_ca_system_score_gemma":0.0000151600325,"threshold_uncertainty_score":0.47827753},"labels":[],"label_agreement":null},{"id":"W2007291647","doi":"10.1186/1471-2202-8-s2-p102","title":"Broadband coding with dynamic synapses","year":2007,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Neural facilitation; Spike train; Postsynaptic potential; Facilitation; Neurotransmission; Computer science; Neuroscience; Coherence (philosophical gambling strategy); Synaptic plasticity; Population; Biological system; Physics; Excitatory postsynaptic potential; Spike (software development); Biology; Inhibitory postsynaptic potential","score_opus":0.033425176142961956,"score_gpt":0.2729130645830385,"score_spread":0.23948788844007654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007291647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9435387,0.000007369943,0.05184159,0.0001222175,0.00086061336,0.00022622755,0.0000058275764,0.00018783624,0.0032095967],"genre_scores_gemma":[0.99634635,0.000016761833,0.0003287642,0.0017518067,0.00003350304,0.0000050788103,5.2211e-7,0.000020140835,0.0014970588],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979582,0.000051221556,0.00020426142,0.0007402971,0.0004970441,0.0005489894],"domain_scores_gemma":[0.9990262,0.00036255317,0.00011119774,0.00031759462,0.00002832293,0.00015416431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003222808,0.00017886129,0.00013093418,0.0001529336,0.00041593215,0.00015434704,0.00041019483,0.00003723811,0.00001324326],"category_scores_gemma":[0.00059340324,0.00013655852,0.000043357053,0.0009097238,0.0003899422,0.00041185832,0.00009026259,0.00018118547,0.000029007868],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006389424,0.00004363653,0.0026715714,0.000011119223,1.5596295e-7,0.00008042448,0.000019542222,0.00026068796,0.99247855,0.0029128075,0.00002589994,0.0014317217],"study_design_scores_gemma":[0.001229126,0.0012347765,0.18657644,0.00008177358,0.000019075307,0.0014728837,0.00008747782,0.08583751,0.71488756,0.0008105724,0.006735524,0.0010272606],"about_ca_topic_score_codex":0.00000740168,"about_ca_topic_score_gemma":0.00007030062,"teacher_disagreement_score":0.27759096,"about_ca_system_score_codex":0.000041693882,"about_ca_system_score_gemma":0.000053134274,"threshold_uncertainty_score":0.5568695},"labels":[],"label_agreement":null},{"id":"W2007307364","doi":"10.1016/j.bandc.2009.07.010","title":"A quantum physics account of consciousness: Much less than meets the eye","year":2009,"lang":"en","type":"letter","venue":"Brain and Cognition","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Sensory system; Neuroscience; Human brain; Psychology; Neocortex; Consciousness; Perception; Neuroimaging; Prefrontal cortex; Cognitive psychology; Cognition; Brain mapping; Cognitive science","score_opus":0.03363163406272355,"score_gpt":0.25635234905613175,"score_spread":0.2227207149934082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007307364","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1623383,0.00012725695,0.0004649323,0.83050674,0.0010614506,0.0010012113,0.00039365844,0.00012629943,0.003980161],"genre_scores_gemma":[0.55375576,0.00014691794,0.0000038025446,0.44431248,0.0009273479,0.000027592918,0.00013818096,0.000026114507,0.00066181837],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984266,0.0002180115,0.00024727485,0.00045473166,0.00039887338,0.00025448884],"domain_scores_gemma":[0.99883187,0.0005343421,0.0002783914,0.00024236772,0.0000865541,0.000026461319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016071381,0.00025212675,0.00026921576,0.00006745663,0.00021965626,0.00011375582,0.00020096615,0.00027456967,0.000010599839],"category_scores_gemma":[0.00017346283,0.00017995911,0.000112691996,0.00020615617,0.000263645,0.00013160918,0.00005054166,0.0006352152,0.000011448761],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013704144,0.00020362863,0.000044199976,0.0005079568,0.000038322967,0.0001873257,0.00032114447,0.000004821645,0.23176076,0.011775685,0.6966766,0.0583425],"study_design_scores_gemma":[0.0029837193,0.0011199481,0.0024639152,0.0012926831,0.0004881872,0.0002595429,0.00043814682,0.010181843,0.060801994,0.2135696,0.7042451,0.002155346],"about_ca_topic_score_codex":0.000022667515,"about_ca_topic_score_gemma":0.000011122798,"teacher_disagreement_score":0.39141744,"about_ca_system_score_codex":0.00001504726,"about_ca_system_score_gemma":0.000039597177,"threshold_uncertainty_score":0.73385197},"labels":[],"label_agreement":null},{"id":"W2007358112","doi":"10.1016/j.neulet.2007.03.043","title":"Spatial frequency characteristics of nearby neurons in cats’ visual cortex","year":2007,"lang":"en","type":"article","venue":"Neuroscience Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Visual cortex; Stimulus (psychology); Spatial frequency; Neuroscience; Perception; Sine wave; Visual perception; Motion perception; Visual system; CATS; Physics; Biology; Communication; Computer science; Psychology; Optics","score_opus":0.01903870219475762,"score_gpt":0.2633970027702418,"score_spread":0.2443583005754842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007358112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99315196,0.0000010417128,0.0028718524,0.0013142314,0.0020332744,0.00022405804,0.00001614226,0.000052380223,0.0003350655],"genre_scores_gemma":[0.9862281,0.000008189633,0.000041118605,0.013564423,0.00009458106,0.000003949212,0.0000018721024,0.000020185062,0.000037558875],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9976513,0.000093169576,0.00048796946,0.0006513224,0.0005395267,0.00057671656],"domain_scores_gemma":[0.99912405,0.00023331189,0.0002257012,0.00027249736,0.00002227213,0.00012218245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003207518,0.00018887901,0.00021659894,0.00029786586,0.0001300238,0.00005867234,0.00043219677,0.000054189088,0.000015336094],"category_scores_gemma":[0.0007405255,0.00018492974,0.00006876812,0.0009194994,0.00047096278,0.00030045494,0.00009308492,0.00034285587,0.000014249308],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027990538,0.000092695314,0.036350545,0.000008253425,1.3047602e-7,0.0001891286,0.000049714705,0.00001653637,0.9594968,0.00030436637,0.00002674979,0.0034370986],"study_design_scores_gemma":[0.00026783245,0.00024270517,0.8427662,0.00001343894,0.0000033428532,0.000051724677,0.000006595598,0.004451139,0.15161794,0.000049009584,0.00032296538,0.00020709273],"about_ca_topic_score_codex":0.00018392442,"about_ca_topic_score_gemma":0.000054942044,"teacher_disagreement_score":0.80787885,"about_ca_system_score_codex":0.0000472144,"about_ca_system_score_gemma":0.000040093728,"threshold_uncertainty_score":0.7541216},"labels":[],"label_agreement":null},{"id":"W2007416855","doi":"10.1007/s00221-011-2608-0","title":"Changes in the referent body location and configuration may underlie human gait, as confirmed by findings of multi-muscle activity minimizations and phase resetting","year":2011,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Jewish Rehabilitation Hospital; McGill University; Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Referent; Gait; Physical medicine and rehabilitation; Effect of gait parameters on energetic cost; Swing; Preferred walking speed; Psychology; Simulation; Control theory (sociology); Computer science; Communication; Gait analysis; Physics; Artificial intelligence; Medicine; Acoustics; Control (management)","score_opus":0.21710771113542013,"score_gpt":0.4345456988007289,"score_spread":0.21743798766530878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007416855","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99641806,0.00004783098,0.00006842955,0.0016597919,0.000030104346,0.0006384299,0.000014440655,0.00001210179,0.0011108078],"genre_scores_gemma":[0.9992728,0.000029791992,0.00002122031,0.0002002215,0.000012164235,0.000075327654,0.00002070428,0.000010988888,0.0003567533],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982449,0.0006721517,0.00015321918,0.00034508933,0.00035439237,0.00023029496],"domain_scores_gemma":[0.99908066,0.0005961772,0.000060331367,0.00015901278,0.00004812155,0.000055673383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086978916,0.000096836375,0.00010141324,0.0001640084,0.00040074618,0.00007701797,0.00013700932,0.00005741277,0.000072332245],"category_scores_gemma":[0.0005154613,0.00007915171,0.000011594416,0.00030594555,0.0003722787,0.00017685234,0.00008291027,0.00024523278,0.0000027620285],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000747031,0.0004724867,0.00014277085,0.000017088036,0.0000016871815,0.000002876852,0.0035177756,2.7162858e-7,0.9907242,0.0038029754,0.00030987262,0.0009332774],"study_design_scores_gemma":[0.0011643078,0.00070904073,0.00964911,0.00002800758,0.0000013956673,0.0000049526907,0.0035152498,0.0028232476,0.98173434,0.00012301211,0.00016100392,0.00008634628],"about_ca_topic_score_codex":0.000465345,"about_ca_topic_score_gemma":0.00013505408,"teacher_disagreement_score":0.009506339,"about_ca_system_score_codex":0.000049942333,"about_ca_system_score_gemma":0.000022784812,"threshold_uncertainty_score":0.32277128},"labels":[],"label_agreement":null},{"id":"W2007489401","doi":"10.1523/jneurosci.0400-11.2011","title":"Morphological and Functional Continuum Underlying Heterogeneity in the Spiking Fidelity at the Calyx of Held Synapse<i>In Vitro</i>","year":2011,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Hospital for Sick Children","funders":"Sickkids Research Institute; Canadian Institutes of Health Research; Hospital for Sick Children","keywords":"Trapezoid body; Neuroscience; Synapse; Calyx; Postsynaptic potential; Superior olivary complex; Brainstem; Biology; Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Neuron; Cochlear nucleus; Anatomy","score_opus":0.1522508148279184,"score_gpt":0.297077981714944,"score_spread":0.14482716688702557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007489401","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981783,0.000035330213,0.00034858863,0.000719458,0.00046901393,0.000113364855,0.000004160346,0.0000031498687,0.00012863884],"genre_scores_gemma":[0.99732566,0.000047344267,0.000025445062,0.0025514087,0.000021616606,0.0000020119946,7.83972e-8,0.0000037095372,0.00002270244],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9982686,0.00035647664,0.00045177172,0.0002528293,0.00044914542,0.00022118956],"domain_scores_gemma":[0.998883,0.00051041594,0.00035978566,0.00016350161,0.000037779013,0.000045518063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012744105,0.00010247902,0.00017627001,0.000095989766,0.00017301364,0.00004157686,0.00037435847,0.00003869535,0.000007219775],"category_scores_gemma":[0.00090453116,0.00005388215,0.00007840751,0.0004339126,0.00046761704,0.00025201085,0.00013473013,0.00038494478,6.2474163e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014656456,0.000078006226,0.0076210424,0.000003898769,3.3120074e-7,0.0001352918,0.0001079629,0.000088588364,0.9914165,0.000112900394,0.000023048313,0.000265824],"study_design_scores_gemma":[0.0004199829,0.00037064127,0.78314704,0.000021767364,0.0000072953285,0.002117793,0.0000874779,0.002570684,0.21004839,0.0009875781,0.0001265708,0.00009476635],"about_ca_topic_score_codex":0.000024673514,"about_ca_topic_score_gemma":0.000060016668,"teacher_disagreement_score":0.78136814,"about_ca_system_score_codex":0.000033604738,"about_ca_system_score_gemma":0.00002887395,"threshold_uncertainty_score":0.21972503},"labels":[],"label_agreement":null},{"id":"W2007624185","doi":"10.1016/s0960-9822(01)00464-x","title":"Cortical cartography: what's in a map?","year":2001,"lang":"en","type":"review","venue":"Current Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biology; Cartography","score_opus":0.14532584075715338,"score_gpt":0.3933521925885894,"score_spread":0.248026351831436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007624185","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009284845,0.99405074,0.000027292012,0.000047843074,0.0051536066,0.00043778063,0.00002841256,0.000042248652,0.00011919948],"genre_scores_gemma":[0.000066520064,0.9993526,0.0000034278255,0.00008776261,0.00023134693,0.00008596545,0.00010782205,0.00001932717,0.00004526469],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99792135,0.0004870467,0.00044239432,0.0006748722,0.00007261452,0.00040172302],"domain_scores_gemma":[0.9991445,0.0003648287,0.00015164173,0.00025202357,0.000010770804,0.00007626495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000121045436,0.0002878206,0.0008462253,0.00032040192,0.000048910653,0.000057577934,0.00028972913,0.0002573576,0.00007025703],"category_scores_gemma":[0.00012543744,0.00021079097,0.00031892088,0.00061142456,0.00017178997,0.000095997275,0.00011152959,0.00073562737,0.00021927935],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024806673,0.00006189432,0.000019129804,0.0008439733,0.0000023302598,0.000016249682,0.0000029454154,1.054301e-7,0.000019283647,0.0027565681,0.00014398647,0.99613106],"study_design_scores_gemma":[0.000083923595,0.000070685106,0.0000047859353,0.0018526381,0.00003855884,0.0000332648,0.0000016712183,0.000032253418,0.0000011456235,0.0005126713,0.9971577,0.00021068752],"about_ca_topic_score_codex":0.00000444963,"about_ca_topic_score_gemma":0.000010267658,"teacher_disagreement_score":0.99701375,"about_ca_system_score_codex":0.000048746984,"about_ca_system_score_gemma":0.000058967613,"threshold_uncertainty_score":0.85958064},"labels":[],"label_agreement":null},{"id":"W2007690882","doi":"10.1007/s00221-002-1035-7","title":"Comparison of receptive field expansion produced by GABAB and GABAA receptor antagonists in raccoon primary somatosensory cortex","year":2002,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Receptive field; Somatosensory system; GABAB receptor; Neuroscience; GABAA receptor; GABA receptor antagonist; Inhibitory postsynaptic potential; Chemistry; GABA receptor; Agonist; Bicuculline; Receptor; Psychology","score_opus":0.0998749974763594,"score_gpt":0.3946960229773744,"score_spread":0.29482102550101497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007690882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99457693,0.00059725926,0.0000027527374,0.0019794195,0.00020705716,0.00070836407,0.00001936312,0.00003566633,0.0018731594],"genre_scores_gemma":[0.99767244,0.00016293833,0.00007991291,0.00042392442,0.00004439512,0.00005716191,0.000013814413,0.000026256334,0.0015191502],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9970979,0.0005893711,0.00039551617,0.0007174243,0.0007325017,0.0004672961],"domain_scores_gemma":[0.9984046,0.0010297196,0.00009916974,0.00029686737,0.00004841169,0.00012119802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048437386,0.00017887865,0.00030477074,0.00024206177,0.0002174994,0.00006310422,0.0002239219,0.000115632436,0.0004283997],"category_scores_gemma":[0.0006412141,0.00017098362,0.00004474294,0.00049602607,0.00031726682,0.0002606301,0.00023279825,0.0005032765,0.00005456847],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028195913,0.0007241301,0.0018400192,0.00003428311,0.0000022063234,0.000009798912,0.0015093925,6.8368854e-7,0.9605974,0.000113796086,0.030869607,0.004016741],"study_design_scores_gemma":[0.0008039334,0.0010140543,0.0014360052,0.00005909611,6.380213e-7,0.00000835154,0.0012077983,0.0021412408,0.9919274,0.000022644761,0.0012059916,0.00017287655],"about_ca_topic_score_codex":0.00007864694,"about_ca_topic_score_gemma":0.000004073902,"teacher_disagreement_score":0.031329986,"about_ca_system_score_codex":0.00014484383,"about_ca_system_score_gemma":0.000021346445,"threshold_uncertainty_score":0.69725096},"labels":[],"label_agreement":null},{"id":"W2007747873","doi":"10.1007/s002219900263","title":"Cross-correlated and oscillatory visual responses of superficial-layer and tecto-reticular neurones in cat superior colliculus","year":2000,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; McGill University; Montreal Neurological Institute and Hospital; Université de Montréal","funders":"","keywords":"Superior colliculus; Stimulus (psychology); Rhythm; Neuroscience; Anatomy; CATS; Electrophysiology; Stimulation; Reticular connective tissue; Biology; Physics; Medicine; Psychology; Internal medicine","score_opus":0.05203498004746813,"score_gpt":0.3909670614197149,"score_spread":0.33893208137224673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007747873","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981137,0.0004922315,2.865642e-7,0.00042222644,0.000096325275,0.0005181227,0.000017789956,0.000030204637,0.0003091209],"genre_scores_gemma":[0.997775,0.00011406614,0.000014758344,0.00019487222,0.000029923152,0.000041910258,0.0000023873522,0.000029211751,0.0017978384],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99731857,0.00066155684,0.0003129819,0.00064089627,0.0005903713,0.00047564693],"domain_scores_gemma":[0.9986926,0.00088926,0.000026051663,0.00020355251,0.00004590087,0.00014266933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069990166,0.00017694588,0.0002309787,0.00031289944,0.00030536746,0.0001433362,0.00015797751,0.000116948286,0.0004484731],"category_scores_gemma":[0.0006226912,0.00016276969,0.00003782251,0.00064072415,0.0010411412,0.00023899831,0.00018577237,0.0002887532,0.000021672762],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00082749606,0.00017712882,0.008282034,0.000015456986,0.0000022152,0.00009662859,0.0007694826,0.0000140666925,0.98834306,0.00023185814,0.000047085286,0.0011934623],"study_design_scores_gemma":[0.001084249,0.0009138388,0.057928372,0.000031605643,0.0000012440556,0.00007447444,0.00045716114,0.006490979,0.93213624,0.000035698245,0.00065875024,0.00018739903],"about_ca_topic_score_codex":0.00037729068,"about_ca_topic_score_gemma":0.000018384802,"teacher_disagreement_score":0.05620686,"about_ca_system_score_codex":0.00008240315,"about_ca_system_score_gemma":0.00006904999,"threshold_uncertainty_score":0.66375554},"labels":[],"label_agreement":null},{"id":"W2007850450","doi":"10.1016/j.jneumeth.2011.01.002","title":"Measuring entropy in continuous and digitally filtered neural signals","year":2011,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Canadian Institutes of Health Research; Research Nova Scotia; Nova Scotia Health Research Foundation","keywords":"Computer science; Entropy (arrow of time); Information theory; Analog signal; Artificial intelligence; Signal compression; Data compression; Signal processing; Pattern recognition (psychology); Speech recognition; Mathematics; Digital signal processing; Statistics","score_opus":0.17827527518478928,"score_gpt":0.3404407708283631,"score_spread":0.16216549564357383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007850450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9852685,0.000040191957,0.0124462405,0.00019512068,0.0012497208,0.000117656375,0.0000020524387,0.000015397516,0.0006651521],"genre_scores_gemma":[0.99079865,0.000059314665,0.008011177,0.000965502,0.000050013325,0.0000015320137,2.6014906e-8,0.000012828488,0.000100955534],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977606,0.00062920764,0.00055785524,0.00033436235,0.00038589025,0.00033208457],"domain_scores_gemma":[0.99874824,0.00043742685,0.000429976,0.00014887037,0.00006654545,0.00016895133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013469373,0.0001544196,0.00030674945,0.00031555328,0.00009638521,0.0001449603,0.00041454055,0.00003906483,0.000010632882],"category_scores_gemma":[0.0032666435,0.00011914978,0.00009253057,0.0004952893,0.0002216615,0.000889779,0.00011244664,0.00034288559,8.6300855e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007707895,0.00006955774,0.0018415785,0.0000054092457,5.0208183e-7,0.00022965716,0.00017212162,0.00007227289,0.97768897,0.00023322487,0.000007038843,0.019602584],"study_design_scores_gemma":[0.001155704,0.0018424359,0.14802538,0.00007495961,0.000018170726,0.002904445,0.00008564628,0.028223038,0.80960023,0.006831206,0.0008523147,0.00038646322],"about_ca_topic_score_codex":0.0000051966726,"about_ca_topic_score_gemma":0.0000010195432,"teacher_disagreement_score":0.16808873,"about_ca_system_score_codex":0.00002518567,"about_ca_system_score_gemma":0.000038745886,"threshold_uncertainty_score":0.4858787},"labels":[],"label_agreement":null},{"id":"W2007906206","doi":"10.1016/j.cub.2007.10.030","title":"Visual Cortex: More Wiggle Room for the Brain","year":2007,"lang":"en","type":"article","venue":"Current Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biology; Visual cortex; Cortex (anatomy); Neuroscience; Anatomy","score_opus":0.0534141266757718,"score_gpt":0.36724287100706365,"score_spread":0.3138287443312919,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007906206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9375935,0.0003615481,0.048864186,0.0049624196,0.007153023,0.0006442645,0.00005614474,0.00009344086,0.00027142686],"genre_scores_gemma":[0.99739844,0.000039568346,0.000016775963,0.0018137206,0.00037355543,0.000020528772,0.000021825883,0.000009049692,0.00030651837],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99920547,0.00003534918,0.0001442257,0.00027704288,0.000054183794,0.00028374107],"domain_scores_gemma":[0.9986767,0.001066775,0.00006352606,0.00013017359,0.000021682596,0.000041131923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024265244,0.00009136907,0.00008794727,0.000039539773,0.00018195988,0.000015484042,0.0001767431,0.000051877716,0.000023345907],"category_scores_gemma":[0.00043967055,0.000056083125,0.00006666501,0.00012567511,0.00012370446,0.000032791806,0.00005220418,0.00012139743,0.000026422316],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000099399054,0.000096165975,0.0014249588,0.00001025824,0.0000036365518,0.0000014385276,0.00004877319,0.000006713052,0.65171015,0.024055168,0.006064243,0.3164791],"study_design_scores_gemma":[0.0008854569,0.0006657504,0.02436288,0.000010617166,0.000017364753,0.000030389125,0.000053691565,0.021537207,0.039187115,0.007011079,0.9059426,0.00029579934],"about_ca_topic_score_codex":0.0000036758345,"about_ca_topic_score_gemma":0.00001249959,"teacher_disagreement_score":0.8998784,"about_ca_system_score_codex":0.000016939826,"about_ca_system_score_gemma":0.000013493121,"threshold_uncertainty_score":0.22870034},"labels":[],"label_agreement":null},{"id":"W2007997142","doi":"10.1523/jneurosci.5487-07.2008","title":"A Hierarchy of Temporal Receptive Windows in Human Cortex","year":2008,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":972,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institutes of Health; National Eye Institute; National Institute of Mental Health; York University","keywords":"Precuneus; Superior temporal sulcus; Neuroscience; Receptive field; Temporal cortex; Contrast (vision); Sensory system; Psychology; Visual cortex; Functional magnetic resonance imaging; Temporal lobe; Computer science; Artificial intelligence","score_opus":0.05482653707914455,"score_gpt":0.2899498072378984,"score_spread":0.2351232701587539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007997142","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981605,0.000008063213,0.0001579075,0.00027403486,0.00066544325,0.00010234121,0.000003729155,0.0000069893367,0.0006210127],"genre_scores_gemma":[0.99882245,0.00007174874,0.00008868427,0.00063010794,0.00005239366,9.126384e-7,9.458268e-8,0.000008304827,0.00032532425],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9982059,0.00015249173,0.0005713265,0.0002486558,0.000592312,0.00022929073],"domain_scores_gemma":[0.99895316,0.00013378511,0.0005784208,0.00014993703,0.00008329745,0.0001014146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031890147,0.000109430686,0.00024890527,0.00036361796,0.00014449522,0.00001885474,0.00045560955,0.00003454086,0.000011513291],"category_scores_gemma":[0.0007469047,0.000088092806,0.000102431804,0.00089751335,0.0004813993,0.000515103,0.00006629689,0.00035499284,0.0000017777827],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052843527,0.00014187113,0.008886309,0.0000042275797,2.5319034e-7,0.00034148226,0.00016327627,0.00018688575,0.9895314,0.00029262976,0.000105386025,0.00029341193],"study_design_scores_gemma":[0.0016714766,0.003353312,0.67807084,0.00010913913,0.00000703395,0.0036483074,0.000065721644,0.00443657,0.30399945,0.0019259759,0.0024027296,0.0003094231],"about_ca_topic_score_codex":0.000012784511,"about_ca_topic_score_gemma":0.0000049954688,"teacher_disagreement_score":0.685532,"about_ca_system_score_codex":0.000039790175,"about_ca_system_score_gemma":0.00010976976,"threshold_uncertainty_score":0.35923204},"labels":[],"label_agreement":null},{"id":"W2008129585","doi":"10.1186/1471-2202-15-s1-p80","title":"Stochastic modulation of oscillatory neural activity","year":2014,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Neuroscience; Computer science; Modulation (music); Artificial neural network; Artificial intelligence; Biology; Physics","score_opus":0.04634424328284743,"score_gpt":0.2644629946067035,"score_spread":0.2181187513238561,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008129585","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93291795,0.0000011765248,0.06509392,0.00007361876,0.0011975135,0.00017118349,0.000005743738,0.0000807596,0.0004581562],"genre_scores_gemma":[0.9991901,0.0000010235185,0.00006353414,0.00046787766,0.000058056004,0.000006252923,2.5081664e-7,0.000013113805,0.00019979455],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99828595,0.00019235924,0.00019352301,0.00057224935,0.00047684115,0.00027908522],"domain_scores_gemma":[0.9989873,0.00033505057,0.00018363626,0.0003639055,0.00003424942,0.000095836316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023881384,0.00013985914,0.0001560111,0.0001201515,0.0001924494,0.000045798268,0.00032666448,0.000038541253,0.00000731309],"category_scores_gemma":[0.0017436866,0.00012585234,0.00007149652,0.000537114,0.00029583016,0.00039940784,0.00010601831,0.00013048167,0.000011179956],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022251697,0.000040279618,0.0007204478,0.000011422532,6.854584e-8,5.1079337e-7,0.000010298383,0.03262824,0.96098864,0.0021920083,0.000009890417,0.0033759675],"study_design_scores_gemma":[0.00016642114,0.00016404052,0.10151143,0.000005484677,0.0000025685779,0.000015198194,0.000001272315,0.8299984,0.067348376,0.00057699473,0.00008646523,0.00012338205],"about_ca_topic_score_codex":0.000009080364,"about_ca_topic_score_gemma":0.000004419294,"teacher_disagreement_score":0.8936402,"about_ca_system_score_codex":0.00002002099,"about_ca_system_score_gemma":0.00003248912,"threshold_uncertainty_score":0.51321095},"labels":[],"label_agreement":null},{"id":"W2008283662","doi":"10.3758/bf03194128","title":"Inhibition of return: Unraveling a paradox","year":2007,"lang":"en","type":"article","venue":"Psychonomic Bulletin & Review","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Inhibition of return; Cued speech; Similarity (geometry); Psychology; Response inhibition; Neuroscience; Cognitive psychology; Cognition; Visual attention; Artificial intelligence; Computer science","score_opus":0.0333457395960436,"score_gpt":0.2883044155192788,"score_spread":0.25495867592323523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008283662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84139407,0.048966292,0.008187737,0.027130939,0.0046316716,0.0031828764,0.000042444026,0.0003175867,0.066146374],"genre_scores_gemma":[0.93846065,0.048865788,0.0005957224,0.011227282,0.00019166224,0.000018054936,0.0000068181153,0.00003054646,0.00060346565],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.998588,0.00007741483,0.0005939485,0.00036690457,0.00014711777,0.00022656017],"domain_scores_gemma":[0.99911165,0.00018984143,0.0003043593,0.00029630627,0.000029361865,0.000068498484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088114955,0.00013635845,0.00028861608,0.00006440828,0.00005816969,0.000012746307,0.00011914194,0.00004814699,0.0005503592],"category_scores_gemma":[0.0002722523,0.00012088881,0.00014356355,0.00022135132,0.00005883348,0.000033077038,0.000029704624,0.00016102062,0.00036388554],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017040384,0.0002591045,0.0001796755,0.0031749138,0.000011624483,0.000029956793,0.00009052804,0.0000102484055,0.6827617,0.005680428,0.047261152,0.26037022],"study_design_scores_gemma":[0.00059094175,0.00015762026,0.00054504455,0.00426472,0.00003446775,0.000102965474,0.000015691328,0.00013510222,0.051692087,0.0011971551,0.9408871,0.00037709685],"about_ca_topic_score_codex":0.000007990611,"about_ca_topic_score_gemma":0.0000015160684,"teacher_disagreement_score":0.893626,"about_ca_system_score_codex":0.000032902488,"about_ca_system_score_gemma":0.000010834239,"threshold_uncertainty_score":0.60260475},"labels":[],"label_agreement":null},{"id":"W2008319238","doi":"10.1371/journal.pone.0054943","title":"Altered Rolandic Gamma-Band Activation Associated with Motor Impairment and Ictal Network Desynchronization in Childhood Epilepsy","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Mental Health Research Canada; Hospital for Sick Children; University of Toronto","funders":"Hospital for Sick Children; University of Toronto; Royal College of Physicians and Surgeons of Canada; Ontario Brain Institute","keywords":"Ictal; Neuroscience; Motor cortex; Epilepsy; Magnetoencephalography; Electroencephalography; Transcranial magnetic stimulation; Medicine; Psychology; Audiology; Stimulation","score_opus":0.017341503194494803,"score_gpt":0.18437893304313777,"score_spread":0.16703742984864295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008319238","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99859077,0.000007621778,0.00014961207,0.00026363792,0.000036949954,0.00072331185,0.0000054280276,0.000055456985,0.0001672422],"genre_scores_gemma":[0.9992381,0.000030263267,0.00008023085,0.0002818016,0.00009736535,0.00007127068,0.000031048377,0.000018114133,0.00015185053],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990061,0.00008548175,0.00016104,0.0002764143,0.0002352311,0.0002357218],"domain_scores_gemma":[0.999583,0.0001163724,0.000110196626,0.00009751121,0.0000338211,0.00005909797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008671905,0.000114977775,0.00014223941,0.000065947075,0.00010864601,0.00008313313,0.000053225085,0.000055085417,0.00004822391],"category_scores_gemma":[0.00017197472,0.000095675656,0.000012594516,0.00027602667,0.000030716554,0.0003264215,0.000019712987,0.00012813488,0.000010409033],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000109917404,0.0019124193,0.25498098,0.000030424675,0.0000427699,0.0000041114654,0.00026742287,0.0003877172,0.74071753,0.000080673075,0.0001128514,0.0013531487],"study_design_scores_gemma":[0.0012866597,0.00070564466,0.9257086,0.00021337449,0.000020740172,0.0000025962493,0.000008819139,0.03655822,0.0348157,0.00051195116,0.0000018852878,0.00016583121],"about_ca_topic_score_codex":0.00003859629,"about_ca_topic_score_gemma":0.000032250882,"teacher_disagreement_score":0.70590186,"about_ca_system_score_codex":0.000096016556,"about_ca_system_score_gemma":0.000020038522,"threshold_uncertainty_score":0.390154},"labels":[],"label_agreement":null},{"id":"W2008645152","doi":"10.1016/j.physa.2005.08.075","title":"Computational modeling of the dependence of kindling rate on network properties","year":2005,"lang":"en","type":"article","venue":"Physica A Statistical Mechanics and its Applications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Kindling; Computer science; Psychology; Econometrics; Neuroscience; Mathematics; Epilepsy","score_opus":0.04029456100751508,"score_gpt":0.26010888519238656,"score_spread":0.21981432418487148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008645152","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09736879,0.000022796241,0.90090346,0.00083223236,0.000043063108,0.0004934357,0.00012683972,0.000016752343,0.000192629],"genre_scores_gemma":[0.9978403,0.000018048255,0.00179559,0.0002260954,0.000053447144,0.000046169425,0.00000249608,0.0000072306584,0.000010608895],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930763,0.000040588628,0.0001931732,0.00019089221,0.00016477072,0.00010291987],"domain_scores_gemma":[0.99941444,0.00028592153,0.00009468187,0.00010991859,0.000064282336,0.000030761254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007659881,0.000069780246,0.00010123186,0.0000137706165,0.00015611344,0.000012308971,0.00011405935,0.000017844219,0.0000040485684],"category_scores_gemma":[0.00010288671,0.00004833156,0.00002389755,0.00015797415,0.000024449364,0.000045303896,0.00005386732,0.000090445275,0.000003507513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009651376,0.00005177851,2.8714058e-7,0.000013681742,0.0000017017571,2.3374039e-8,0.000016658045,0.23188679,0.05322913,0.7126091,0.000006798053,0.0021743886],"study_design_scores_gemma":[0.000068623056,0.00003387408,0.0000144658425,0.000021107635,0.000008942967,6.7837146e-7,0.0000053445656,0.86065567,0.012933134,0.12615909,0.000052971056,0.000046083638],"about_ca_topic_score_codex":0.0000023771909,"about_ca_topic_score_gemma":0.0000018202892,"teacher_disagreement_score":0.9004715,"about_ca_system_score_codex":0.000008119179,"about_ca_system_score_gemma":0.000025072493,"threshold_uncertainty_score":0.19709039},"labels":[],"label_agreement":null},{"id":"W2008800025","doi":"10.1152/jn.00284.2005","title":"Comparison of the Inhibition of Renshaw Cells During Subthreshold and Suprathreshold Conditions Using Anatomically and Physiologically Realistic Models","year":2005,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Canadian Institutes of Health Research","funders":"","keywords":"Renshaw cell; Inhibitory postsynaptic potential; Excitatory postsynaptic potential; Subthreshold conduction; Neuroscience; Soma; Biophysics; Chemistry; Electrophysiology; Interneuron; Voltage clamp; Postsynaptic Current; Biology; Physics; Voltage","score_opus":0.0585978218678908,"score_gpt":0.3001992666927657,"score_spread":0.2416014448248749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008800025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994005,0.000018641815,0.00004466743,0.00022614116,0.000154671,0.00009367369,0.000029947847,0.0000044864382,0.000027259563],"genre_scores_gemma":[0.99949604,0.000108443266,0.0001080605,0.00020105403,0.00006819148,4.9467275e-7,6.387572e-7,0.000009255881,0.000007818878],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99877614,0.0001849798,0.0005584436,0.00018778337,0.00015410807,0.00013852191],"domain_scores_gemma":[0.99881685,0.0002310355,0.0006582882,0.00013756678,0.00010267434,0.00005359132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004808847,0.00011420794,0.0003607987,0.00009420374,0.00011578339,0.000011489142,0.00012124435,0.00006708772,0.000005019064],"category_scores_gemma":[0.00012738426,0.00007685839,0.0000853921,0.0001497846,0.00041089507,0.0001775655,0.00011245719,0.0002773213,1.7474498e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001495508,0.00009913059,0.000072244504,0.000028416864,0.0000041582107,0.00000777914,0.000040046278,0.048783924,0.949332,0.0014231706,0.000022622737,0.00003694037],"study_design_scores_gemma":[0.0008214537,0.000884273,0.052473623,0.00009312686,0.000055550732,0.00029795265,0.000034267745,0.16416773,0.77330875,0.007718623,0.000010074789,0.00013458394],"about_ca_topic_score_codex":0.000003991559,"about_ca_topic_score_gemma":0.0000011444013,"teacher_disagreement_score":0.17602327,"about_ca_system_score_codex":0.000015154533,"about_ca_system_score_gemma":0.000023050028,"threshold_uncertainty_score":0.31341943},"labels":[],"label_agreement":null},{"id":"W2008829690","doi":"10.1109/bmei.2010.5639601","title":"Collision detection using a neurual computational model","year":2010,"lang":"en","type":"article","venue":"2010 3rd International Conference on Biomedical Engineering and Informatics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Electronic Science and Technology of China; National Natural Science Foundation of China; McMaster University","keywords":"Looming; Collision; Computation; Computer science; Realization (probability); Object (grammar); Artificial intelligence; Collision detection; Sigmoid function; Algorithm; Artificial neural network; Mathematics","score_opus":0.03413292091587134,"score_gpt":0.2652950427742038,"score_spread":0.23116212185833246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008829690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8577843,3.6181157e-7,0.13915496,0.00038512066,0.0017873072,0.000079191435,0.000036951875,0.00007459321,0.00069724926],"genre_scores_gemma":[0.99282455,0.00001157051,0.0065902616,0.0003762472,0.00008019533,0.0000044271806,0.000019575557,0.0000087679855,0.00008441747],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990449,0.000006066277,0.00027313415,0.00012477153,0.00040927605,0.00014183026],"domain_scores_gemma":[0.9995648,0.00007977456,0.00008160015,0.00007927811,0.0000736786,0.00012081773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011096726,0.00012040653,0.00009194433,0.00019527356,0.00009286641,0.0001219807,0.0001460212,0.00010311993,0.000048313526],"category_scores_gemma":[0.00030038293,0.00010478301,0.000028831791,0.0001105594,0.00008293889,0.00029265854,0.000058732832,0.00038543064,0.000016001792],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004540829,0.00007878822,0.000011348744,0.000029364233,0.0000081111475,0.0000030993765,0.00018836018,0.18685694,0.72470945,0.0794509,0.000120764525,0.008497469],"study_design_scores_gemma":[0.0002556717,0.00007370597,0.000090870126,0.00002038058,0.0000026947082,0.000053294778,0.00001405334,0.99415916,0.0034625537,0.00087949546,0.00087190914,0.00011619404],"about_ca_topic_score_codex":0.0000057090033,"about_ca_topic_score_gemma":0.0000010764568,"teacher_disagreement_score":0.80730224,"about_ca_system_score_codex":0.000023164417,"about_ca_system_score_gemma":0.000037740574,"threshold_uncertainty_score":0.4272927},"labels":[],"label_agreement":null},{"id":"W2008861444","doi":"10.1016/j.expneurol.2013.02.016","title":"Introduction to Festschrift/Special Issue: Normal and abnormal neuronal oscillations in sensorimotor pathways","year":2013,"lang":"en","type":"editorial","venue":"Experimental Neurology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Toronto Western Hospital","funders":"Dystonia Medical Research Foundation Canada; Canadian Institutes of Health Research; Medtronic","keywords":"Neuroscience; Psychology; Medicine","score_opus":0.010186496410323709,"score_gpt":0.24573148517159946,"score_spread":0.23554498876127575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008861444","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.385855,0.000017998933,0.0000031203172,0.0020543858,0.6098385,0.00067345664,0.00011523935,0.000084652114,0.0013576658],"genre_scores_gemma":[0.059960183,0.000050698967,0.00004302897,0.001747247,0.9365232,0.00016882746,0.00011715306,0.00009344202,0.0012962115],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.996185,0.00039750783,0.0005683829,0.0015320695,0.0006292873,0.0006877195],"domain_scores_gemma":[0.998603,0.0004963895,0.0001995984,0.00039559326,0.00005894621,0.00024647466],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014364815,0.00052258145,0.00049854093,0.00044968116,0.00026579763,0.0001593215,0.00031067224,0.00064110523,0.0009549968],"category_scores_gemma":[0.0007288535,0.00055307307,0.00008783182,0.0003427581,0.00021793076,0.0003952575,0.0004186259,0.0013138162,0.0005550189],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040186546,0.0001452986,0.00004020622,0.00001104017,0.0000026462073,0.00007588559,0.00017109691,0.00010306813,0.19041258,0.0002989603,0.8077993,0.00053805456],"study_design_scores_gemma":[0.00077357295,0.0017705509,0.0008922779,0.0000050771055,0.0000048597803,0.0000861442,0.000017209088,0.0005581329,0.015127925,0.000031490916,0.9802722,0.00046060552],"about_ca_topic_score_codex":0.000110007844,"about_ca_topic_score_gemma":0.000038679096,"teacher_disagreement_score":0.3266847,"about_ca_system_score_codex":0.00007517142,"about_ca_system_score_gemma":0.00008743931,"threshold_uncertainty_score":0.9999583},"labels":[],"label_agreement":null},{"id":"W2009029298","doi":"10.1017/s0140525x12002300","title":"Sparse coding and challenges for Bayesian models of the brain","year":2013,"lang":"en","type":"letter","venue":"Behavioral and Brain Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Generative grammar; Bayesian probability; Predictive coding; Computer science; Neural coding; Artificial intelligence; Coding (social sciences); Generative model; Machine learning; Representation (politics); Bayesian inference; Cognition; Bayes' theorem; Field (mathematics); Psychology; Neuroscience; Mathematics","score_opus":0.18905143776975003,"score_gpt":0.31045024305767177,"score_spread":0.12139880528792174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009029298","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17135784,0.00034183398,0.00010901771,0.82630146,0.0006197731,0.00080164353,0.0001013964,0.000028924282,0.000338139],"genre_scores_gemma":[0.5952748,0.0010599375,0.0005398263,0.39596093,0.00087756367,0.00018459935,0.000010465754,0.000054453452,0.0060374322],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981445,0.00012985604,0.00025188216,0.000705818,0.00040975993,0.00035818986],"domain_scores_gemma":[0.9987923,0.0006872732,0.0002280764,0.00020575464,0.00003600111,0.00005058091],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004042739,0.00023687244,0.00028312308,0.00010944988,0.0004755158,0.00018112472,0.00044712872,0.00023019925,0.000010603783],"category_scores_gemma":[0.00013643433,0.00014166391,0.000096248245,0.00018556628,0.0011273418,0.0003487152,0.0001931047,0.00032124313,6.2559394e-7],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039683386,0.0002567768,0.00052383915,0.0011496409,0.00001138648,0.000038248156,0.0016776877,0.0000565807,0.20537797,0.032754187,0.61233735,0.14577664],"study_design_scores_gemma":[0.0024480585,0.00501509,0.004059426,0.00135749,0.00028335702,0.00051591475,0.0011597516,0.117056236,0.024905989,0.17102443,0.6686919,0.0034823536],"about_ca_topic_score_codex":0.000070978436,"about_ca_topic_score_gemma":0.000027063174,"teacher_disagreement_score":0.43034053,"about_ca_system_score_codex":0.000010309617,"about_ca_system_score_gemma":0.000043189895,"threshold_uncertainty_score":0.57768863},"labels":[],"label_agreement":null},{"id":"W2009076409","doi":"10.1016/s0006-8993(02)04062-3","title":"Superior colliculus stimulation enhances neocortical serotonin release and electrocorticographic activation in the urethane-anesthetized rat","year":2003,"lang":"en","type":"article","venue":"Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Queen's University","funders":"","keywords":"Serotonergic; Neocortex; Neuroscience; Stimulation; Dorsal raphe nucleus; Serotonin; Cholinergic; Forebrain; Chemistry; Endocrinology; Internal medicine; Biology; Medicine; Central nervous system; Receptor","score_opus":0.05837380382414324,"score_gpt":0.3497719936727521,"score_spread":0.2913981898486088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009076409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99331576,0.00002024934,0.00013862102,0.0046866704,0.000044140692,0.0012885471,6.555029e-7,0.000027410835,0.00047797538],"genre_scores_gemma":[0.9985277,0.000050752733,0.00003467436,0.0007769409,0.000028690933,0.0002530621,0.0000034196994,0.000014509855,0.00031024328],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99618006,0.0019144262,0.00023551162,0.00046097516,0.0007256442,0.00048339862],"domain_scores_gemma":[0.99724805,0.0023124972,0.00004070425,0.00024056155,0.00007656911,0.0000816408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018498233,0.00012429203,0.00013454758,0.00028392312,0.00035606464,0.00020213892,0.00017730697,0.00009143521,0.000043913922],"category_scores_gemma":[0.004368261,0.00008848644,0.00003861545,0.0015863999,0.00026265648,0.00022543292,0.000028928684,0.00053752336,0.000012150671],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020690673,0.00009952936,0.0017333865,0.000014365993,0.0000011498068,0.000022672602,0.00023998145,0.000044171964,0.9804228,0.0153134465,0.0001187398,0.0017828412],"study_design_scores_gemma":[0.0025165332,0.0012067873,0.04771906,0.000062349034,0.000007846276,0.00016736805,0.00049728726,0.026854932,0.898741,0.015837297,0.005996369,0.0003931394],"about_ca_topic_score_codex":0.000047875707,"about_ca_topic_score_gemma":0.000053647207,"teacher_disagreement_score":0.08168178,"about_ca_system_score_codex":0.00004665982,"about_ca_system_score_gemma":0.00009380633,"threshold_uncertainty_score":0.52295315},"labels":[],"label_agreement":null},{"id":"W2009354116","doi":"10.3389/fnint.2011.00015","title":"Auditory Perception of Self-Similarity in Water Sounds","year":2011,"lang":"en","type":"article","venue":"Frontiers in Integrative Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Agence Nationale de la Recherche; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research; James S. McDonnell Foundation","keywords":"Perception; Similarity (geometry); Psychology; Speech recognition; Communication; Cognitive psychology; Computer science; Neuroscience; Artificial intelligence","score_opus":0.03002560199846061,"score_gpt":0.24288777712318033,"score_spread":0.21286217512471972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009354116","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98474336,0.0000032167934,0.006093651,0.000079698635,0.0042516156,0.00026385393,0.0000075228354,0.000046275938,0.004510823],"genre_scores_gemma":[0.9976156,0.0000521029,0.0014763329,0.00046785834,0.000028317423,0.000023726723,9.0726553e-7,0.000011398888,0.0003237955],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9980451,0.0002748252,0.00035134162,0.0006339016,0.0003179208,0.00037695162],"domain_scores_gemma":[0.99951345,0.000048062095,0.00009679235,0.00024013253,0.000043470212,0.00005811838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003471404,0.00018615542,0.00024230748,0.00042283925,0.00008826702,0.000024538416,0.00045960332,0.000081860584,0.00003598214],"category_scores_gemma":[0.000422167,0.00013105817,0.000066078595,0.00067322416,0.0004925958,0.0005772629,0.00009851107,0.00040440474,0.0000067451906],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000087046894,0.00032157535,0.04664415,0.000013731633,4.870843e-7,0.000029258113,0.0056633945,0.000037438065,0.9446632,0.0008388352,0.0007396156,0.0009612524],"study_design_scores_gemma":[0.0008695327,0.0008973786,0.54818684,0.00008574401,0.000008275248,0.000024503404,0.0023964227,0.047888227,0.383025,0.014479358,0.0015622923,0.00057642814],"about_ca_topic_score_codex":0.00007849733,"about_ca_topic_score_gemma":0.000044784338,"teacher_disagreement_score":0.56163824,"about_ca_system_score_codex":0.00014702644,"about_ca_system_score_gemma":0.000041414172,"threshold_uncertainty_score":0.5344397},"labels":[],"label_agreement":null},{"id":"W2009492785","doi":"10.1523/jneurosci.0973-04.2004","title":"Dendroarchitecture and Lateral Inhibition in Thalamic Barreloids","year":2004,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Whisker; Barrel cortex; Whiskers; Neocortex; Neuroscience; Reticular connective tissue; Inhibitory postsynaptic potential; Biophysics; Lateral inhibition; Anatomy; Biology; Chemistry; Somatosensory system","score_opus":0.017129816342239746,"score_gpt":0.24480419481893553,"score_spread":0.22767437847669578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009492785","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971993,0.0000150950855,0.00038766782,0.0015881261,0.000640535,0.00006116939,0.0000016285802,0.000008596695,0.00009787098],"genre_scores_gemma":[0.9982012,0.000073193274,0.00007920397,0.0015562678,0.00005114811,5.855921e-7,5.3730965e-8,0.000006376325,0.000031995296],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989851,0.000058174883,0.0002569227,0.00021053682,0.00030030918,0.00018896585],"domain_scores_gemma":[0.99961716,0.0000520136,0.00015440125,0.00007520245,0.000020570827,0.00008067887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019434126,0.000090338544,0.00011905879,0.00023727698,0.000084055,0.000082074504,0.00011413535,0.000031986776,0.0000019168535],"category_scores_gemma":[0.00035851856,0.00006945819,0.000039264796,0.0004251763,0.0001592041,0.00045122637,0.000048012094,0.00031940622,0.0000015093759],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022304204,0.000036564896,0.0007065818,0.000004391014,9.102624e-8,0.00036741415,0.00009465864,0.002294109,0.9950117,0.00069352693,0.0000035965352,0.0007650944],"study_design_scores_gemma":[0.0031645282,0.0018122629,0.3829097,0.00024215585,0.000009658989,0.018672377,0.000036618952,0.005346695,0.55018187,0.0366784,0.00052464654,0.00042111316],"about_ca_topic_score_codex":0.000004948008,"about_ca_topic_score_gemma":0.00000706524,"teacher_disagreement_score":0.44482982,"about_ca_system_score_codex":0.000042057054,"about_ca_system_score_gemma":0.000048736005,"threshold_uncertainty_score":0.2832423},"labels":[],"label_agreement":null},{"id":"W2009836484","doi":"10.4236/jbbs.2014.46028","title":"Progressive Obesity in Female Rats from Synergistic Interactions between Drugs and Whole Body Application of Weak, Physiologically Patterned Magnetic Fields","year":2014,"lang":"en","type":"article","venue":"Journal of Behavioral and Brain Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Acepromazine; Doxepin; Weight gain; Endocrinology; Pilocarpine; Ketamine; Internal medicine; Obesity; Medicine; Chemistry; Body weight; Pharmacology; Epilepsy; Neuroscience; Psychology; Anesthesia","score_opus":0.02463951311417068,"score_gpt":0.3041584335960054,"score_spread":0.27951892048183474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009836484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99841756,0.000017770604,0.00081721967,0.00050338893,0.00010179488,0.00010640003,0.00000880346,0.000004404998,0.0000226562],"genre_scores_gemma":[0.99962384,0.0000055840956,0.00016452931,0.0001187247,0.00005723673,0.0000034271745,9.462063e-7,0.0000027147657,0.000023021392],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989769,0.00008678643,0.00030503195,0.00024308906,0.00025189848,0.00013628708],"domain_scores_gemma":[0.9991726,0.0002561025,0.00030528085,0.00009995558,0.00007687342,0.00008918145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034778286,0.000083809144,0.00019022648,0.00011554444,0.00010978371,0.000065496235,0.00020007475,0.00003624806,0.0000069335497],"category_scores_gemma":[0.00016798214,0.000060574697,0.000030835985,0.0002613407,0.00039515548,0.00034417518,0.00009026422,0.0001911534,8.9036365e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021086556,0.000102318714,0.039419733,0.000005644032,3.6754452e-7,0.0000038601283,0.00017292782,0.000008696458,0.93272346,0.00007053543,0.000005203894,0.027466163],"study_design_scores_gemma":[0.00039721405,0.0010576815,0.92553097,0.00009534361,0.000020128871,0.000020365182,0.000162498,0.0047705863,0.064930364,0.0028407308,0.000047026002,0.0001270672],"about_ca_topic_score_codex":0.000087949236,"about_ca_topic_score_gemma":0.000014356722,"teacher_disagreement_score":0.88611126,"about_ca_system_score_codex":0.000018440744,"about_ca_system_score_gemma":0.000023932387,"threshold_uncertainty_score":0.24701644},"labels":[],"label_agreement":null},{"id":"W2009950336","doi":"10.1523/jneurosci.4690-06.2007","title":"Neural Variability, Detection Thresholds, and Information Transmission in the Vestibular System","year":2007,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":250,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Canadian Space Agency","keywords":"Sensory system; Vestibular system; Neural coding; Neuroscience; Afferent; Spike (software development); Stimulus (psychology); Jitter; Information transmission; Computer science; Psychology; Telecommunications; Cognitive psychology","score_opus":0.01801098131793922,"score_gpt":0.2461069656866081,"score_spread":0.22809598436866887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009950336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97184384,0.000009281793,0.026410304,0.00059087697,0.0006995681,0.00014712868,8.460074e-7,0.000012078611,0.00028606757],"genre_scores_gemma":[0.9988148,0.000025643993,0.00004378003,0.0010605613,0.000047946174,6.995741e-7,5.862404e-8,0.0000030748251,0.000003395007],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99852276,0.00018553156,0.00044394948,0.00013754892,0.0005209383,0.00018925212],"domain_scores_gemma":[0.9991683,0.00033897255,0.00025874763,0.00011483135,0.00004689328,0.00007230156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022836544,0.00008668626,0.0001042551,0.00021085516,0.00018443352,0.00014566685,0.00028058412,0.000039327653,4.882387e-7],"category_scores_gemma":[0.0006774337,0.00005354395,0.00003169049,0.00063237996,0.00011403625,0.0017237791,0.00002569567,0.00031931934,6.7851477e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007839161,0.00003160924,0.0008988397,0.000026649046,1.4168653e-7,0.00005988516,0.00021501452,0.0008007542,0.97720844,0.0014084002,0.0000042322245,0.01926764],"study_design_scores_gemma":[0.0015284445,0.0026716662,0.5621873,0.00015029508,0.000030598225,0.01470209,0.0004916661,0.32363153,0.08260845,0.0017084302,0.009897983,0.00039153587],"about_ca_topic_score_codex":0.000004247508,"about_ca_topic_score_gemma":0.0000024811168,"teacher_disagreement_score":0.8946,"about_ca_system_score_codex":0.000041008454,"about_ca_system_score_gemma":0.000021933969,"threshold_uncertainty_score":0.2183459},"labels":[],"label_agreement":null},{"id":"W2010150724","doi":"10.1088/0957-0233/22/2/025802","title":"Algorithm for real-time detection of signal patterns using phase synchrony: an application to an electrode array","year":2011,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"University of Toronto","keywords":"SIGNAL (programming language); Computer science; Electrode array; Phase (matter); Electrode; Detection theory; Algorithm; Acoustics; Real-time computing; Telecommunications; Physics; Detector","score_opus":0.05606754178464843,"score_gpt":0.2869596020691352,"score_spread":0.23089206028448675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010150724","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6037737,0.0000014247116,0.39570487,0.00003716242,0.000041375297,0.00034837984,0.000005274867,0.00006229061,0.00002551186],"genre_scores_gemma":[0.9950142,0.0000045302836,0.0048399544,0.000047856258,0.000021361202,0.00006106795,7.3887537e-7,0.000008334193,0.0000019646898],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985545,0.000024391915,0.00016672039,0.00052166963,0.0004572628,0.00027544668],"domain_scores_gemma":[0.99918944,0.000007537458,0.00010375292,0.00024589567,0.0003741721,0.00007921712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009280927,0.000096768934,0.000113751565,0.00040141097,0.00028208242,0.000022088705,0.0002547282,0.000060015424,0.000004169927],"category_scores_gemma":[0.00011670429,0.00008918153,0.000013643426,0.0007936036,0.00022675753,0.00039669513,0.000026921349,0.000060525213,0.0000014222752],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001677247,0.00011581361,0.00004125006,0.000003322039,7.0650475e-7,2.1727841e-7,0.000029277764,0.0000024883982,0.7766478,0.00025992293,2.1337789e-7,0.2228822],"study_design_scores_gemma":[0.00024167841,0.0017668972,0.00013295878,0.000005908393,0.000009048485,0.000011493056,0.000037049434,0.087585114,0.9087075,0.0013795375,0.000027959804,0.00009484411],"about_ca_topic_score_codex":0.0000782781,"about_ca_topic_score_gemma":0.000044378372,"teacher_disagreement_score":0.39124048,"about_ca_system_score_codex":0.00013442383,"about_ca_system_score_gemma":0.000080554266,"threshold_uncertainty_score":0.36367172},"labels":[],"label_agreement":null},{"id":"W2010371447","doi":"10.1016/j.neuron.2013.06.013","title":"Formation and Reverberation of Sequential Neural Activity Patterns Evoked by Sensory Stimulation Are Enhanced during Cortical Desynchronization","year":2013,"lang":"en","type":"article","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":93,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Sensory system; Neuroscience; Stimulation; Sensory stimulation therapy; Neural activity; Psychology; Reverberation; Acoustics; Physics","score_opus":0.01976394420585771,"score_gpt":0.24048159814759848,"score_spread":0.22071765394174075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010371447","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9852428,0.0000024565015,0.013849393,0.00020432421,0.00019469243,0.00040714574,0.000019777523,0.000054178876,0.000025244848],"genre_scores_gemma":[0.9996437,0.00002199511,0.000022434888,0.00010329894,0.000042861095,0.000014899733,0.000022944409,0.00001443708,0.00011343076],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99893695,0.0001886414,0.00022002985,0.00027617576,0.0002228729,0.00015532327],"domain_scores_gemma":[0.99946636,0.0000912671,0.00020763975,0.00012298286,0.000061751525,0.000049989678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000043312502,0.00011688834,0.000117973745,0.00005963852,0.00015539423,0.00006928818,0.000045668927,0.00006146462,0.000035202887],"category_scores_gemma":[0.00018713104,0.000115938565,0.000027384598,0.00010885574,0.000039088714,0.001030147,0.000034593457,0.00013451892,0.000006204719],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004540038,0.000035384634,0.0014311088,0.000058059402,8.117964e-7,8.7889833e-7,0.00004472503,0.0010957266,0.99514234,0.000011913014,0.000017497934,0.0021161563],"study_design_scores_gemma":[0.00031025553,0.000073236115,0.13842383,0.000011926466,0.0000061817127,0.0000077733175,0.0000056088124,0.19664772,0.6644058,0.000031276562,0.000002020395,0.00007434189],"about_ca_topic_score_codex":0.000038106347,"about_ca_topic_score_gemma":0.000014299578,"teacher_disagreement_score":0.33073652,"about_ca_system_score_codex":0.000046958998,"about_ca_system_score_gemma":0.0000054229645,"threshold_uncertainty_score":0.47278374},"labels":[],"label_agreement":null},{"id":"W2010655017","doi":"10.3389/fncom.2013.00075","title":"Probabilistic inference of short-term synaptic plasticity in neocortical microcircuits","year":2013,"lang":"en","type":"article","venue":"Frontiers in Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":88,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre","funders":"Engineering and Physical Sciences Research Council; Fundação para a Ciência e a Tecnologia; Medical Research Council; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Synaptic plasticity; Computer science; Plasticity; Probabilistic logic; Term (time); Neuroscience; Bayesian probability; Bayesian inference; Artificial intelligence; Physics; Psychology; Biology","score_opus":0.029198002783778463,"score_gpt":0.2627331309902007,"score_spread":0.23353512820642222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010655017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9407243,0.000004603656,0.057687294,0.00018700342,0.0007639251,0.00047343204,0.00001118713,0.000026083802,0.00012215681],"genre_scores_gemma":[0.99834776,0.000005476686,0.0011646706,0.00039649793,0.000013184372,0.000042314026,0.0000019025025,0.0000095669175,0.000018632783],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979528,0.0001242651,0.00048651494,0.0006171925,0.0004534326,0.00036579935],"domain_scores_gemma":[0.99899834,0.0006243907,0.00009520753,0.00012464797,0.00006422609,0.000093157076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010508666,0.00015886441,0.00023704847,0.00031456884,0.00007039444,0.000068954214,0.00041221987,0.000055106244,0.000012277249],"category_scores_gemma":[0.0017853351,0.00015449796,0.000040964074,0.00096939754,0.0005177992,0.00042164314,0.00010894215,0.0002582692,0.000008495251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039561408,0.0005456329,0.18885821,0.00008815881,0.0000012483785,0.0000604176,0.0001328379,0.341462,0.45328218,0.009101577,0.00015109217,0.006277095],"study_design_scores_gemma":[0.00016279065,0.0000865404,0.3694316,0.000029800092,0.0000015145911,0.000013533224,0.000007130572,0.6124265,0.0010709208,0.016648721,0.0000039231995,0.00011697156],"about_ca_topic_score_codex":0.00001947323,"about_ca_topic_score_gemma":0.0000067484684,"teacher_disagreement_score":0.45221123,"about_ca_system_score_codex":0.00008477139,"about_ca_system_score_gemma":0.00011587204,"threshold_uncertainty_score":0.6300244},"labels":[],"label_agreement":null},{"id":"W2010808126","doi":"10.1167/10.7.718","title":"Role of LIP persistent activity in visual working memory","year":2010,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Working memory; Saccade; Psychology; Visual memory; Neuroscience; Mnemonic; Neuron; Visual search; Episodic memory; Premovement neuronal activity; Eye movement; Cognition; Cognitive psychology","score_opus":0.020001946615276805,"score_gpt":0.28714668836229157,"score_spread":0.26714474174701475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010808126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984405,0.00001240539,0.000015213656,0.00022088084,0.00067879725,0.000038702743,3.2752322e-7,0.000002924338,0.00059023267],"genre_scores_gemma":[0.99970275,0.000019501278,0.00006225195,0.00005434285,0.00011450793,1.7233855e-7,4.5194774e-8,0.000005342783,0.000041058505],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992587,0.000059319416,0.00021362514,0.000093380026,0.00027856327,0.00009639789],"domain_scores_gemma":[0.9994336,0.00013113265,0.0002835678,0.00006990462,0.000035950692,0.00004589589],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035297018,0.000055707504,0.00012891904,0.00015294334,0.00003636121,0.000020213312,0.00011129017,0.00004763642,0.00002386385],"category_scores_gemma":[0.00023326467,0.000042520656,0.000116246745,0.00015874801,0.000030533083,0.00019473233,0.000038467497,0.00038455345,0.0000021676942],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012034938,0.0001483664,0.0011306533,0.0000037515697,0.000001094673,0.00000873897,0.00006556861,0.00011787874,0.9455388,0.00003171554,0.000011328641,0.05282176],"study_design_scores_gemma":[0.0009021305,0.0013394341,0.20101915,0.00016811867,0.000014464708,0.00018605095,0.00015674534,0.039884303,0.75485253,0.000529126,0.00081083394,0.00013710227],"about_ca_topic_score_codex":0.0000064713804,"about_ca_topic_score_gemma":0.000013921736,"teacher_disagreement_score":0.1998885,"about_ca_system_score_codex":0.00002281172,"about_ca_system_score_gemma":0.000024379817,"threshold_uncertainty_score":0.1733942},"labels":[],"label_agreement":null},{"id":"W2010849669","doi":"10.1016/s0378-5955(01)00294-5","title":"Age-related temporal processing speed deterioration in auditory cortex","year":2001,"lang":"en","type":"article","venue":"Hearing Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":106,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Formant; Auditory cortex; Audiology; Auditory system; Age groups; Contrast (vision); Electrophysiology; Psychology; Neuroscience; Speech recognition; Medicine; Computer science; Artificial intelligence","score_opus":0.15428263109388152,"score_gpt":0.3868662471115766,"score_spread":0.23258361601769506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010849669","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939819,0.000014391595,0.00002121843,0.00046317087,0.00027036187,0.00025104577,4.5300152e-7,0.00006997319,0.004927462],"genre_scores_gemma":[0.9956935,0.000024739249,0.000028617524,0.0000622831,0.00011424361,0.000008984856,0.0000031474524,0.000018085226,0.0040463945],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9981731,0.00023882008,0.00021995224,0.00039020792,0.00054273295,0.0004351652],"domain_scores_gemma":[0.9995211,0.00014118224,0.000037089794,0.00016563688,0.000060018072,0.0000750106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000872718,0.00008169419,0.000103134735,0.00045102008,0.00027642006,0.00018637058,0.00014903501,0.00007842298,0.0000553544],"category_scores_gemma":[0.00049563445,0.00007791508,0.0000239309,0.00133763,0.00014235053,0.00029427814,0.000094550094,0.0005681395,0.00012599437],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061398445,0.00005787983,0.0110580465,0.000022362865,4.2584497e-7,0.00034879977,0.00013921333,0.00009164914,0.9738388,0.00013673019,0.00012891203,0.01411578],"study_design_scores_gemma":[0.0015718056,0.00053337356,0.7044099,0.00035005968,0.0000029182797,0.00020961644,0.00019325258,0.2553273,0.022851849,0.0068313684,0.0072205723,0.00049799075],"about_ca_topic_score_codex":0.00018129732,"about_ca_topic_score_gemma":0.000109971996,"teacher_disagreement_score":0.950987,"about_ca_system_score_codex":0.00014976117,"about_ca_system_score_gemma":0.00008227492,"threshold_uncertainty_score":0.31772846},"labels":[],"label_agreement":null},{"id":"W2010876761","doi":"10.1162/08997660151134325","title":"Localist Attractor Networks","year":2001,"lang":"en","type":"article","venue":"Neural Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Attractor; Spurious relationship; Computer science; Statistical physics; Topology (electrical circuits); Theoretical computer science; Mathematics; Physics; Machine learning; Mathematical analysis","score_opus":0.04136552500281545,"score_gpt":0.27604309362520474,"score_spread":0.23467756862238928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010876761","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9372535,0.000010565238,0.05823212,0.0008594186,0.0011062034,0.00015075057,0.0000019376055,0.00019172009,0.0021938318],"genre_scores_gemma":[0.99720424,0.000010863597,0.00004985925,0.0021782503,0.00021678413,0.000004304189,0.0000145322865,0.000013864923,0.00030727498],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912417,0.00007624491,0.00015547256,0.00027555923,0.00017670623,0.00019182586],"domain_scores_gemma":[0.9995904,0.00016377273,0.00007029438,0.000086614935,0.00002854057,0.000060360555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005006136,0.000101589765,0.00008388012,0.00004887857,0.00015542257,0.00008782882,0.00008930705,0.000043680277,0.000038625076],"category_scores_gemma":[0.00007052459,0.000091773,0.000046431534,0.0002967294,0.000039188915,0.00022697171,0.000025564772,0.00014604653,0.000059623086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016996154,0.00013973536,0.0026042818,0.0000116071515,0.000003223406,0.00016752294,0.00005082208,0.620272,0.17648672,0.004543173,0.0025129851,0.19303802],"study_design_scores_gemma":[0.00020765283,0.00009350811,0.007735218,0.0000037070527,0.000003406218,0.00008865135,0.0000033354393,0.9876292,0.0017321237,0.00088723295,0.0015015533,0.00011445224],"about_ca_topic_score_codex":0.00001366238,"about_ca_topic_score_gemma":0.000007231155,"teacher_disagreement_score":0.3673572,"about_ca_system_score_codex":0.000027794176,"about_ca_system_score_gemma":0.0000054445914,"threshold_uncertainty_score":0.37423941},"labels":[],"label_agreement":null},{"id":"W2010952249","doi":"10.1016/j.tics.2012.04.012","title":"Response to Wolfe: feature-binding and object perception","year":2012,"lang":"en","type":"review","venue":"Trends in Cognitive Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Perception; Feature (linguistics); Object (grammar); Cognitive science; Psychology; Coding (social sciences); Artificial intelligence; Computer science; Mathematics; Philosophy; Neuroscience; Linguistics; Statistics","score_opus":0.2775248588381165,"score_gpt":0.4473429153686356,"score_spread":0.16981805653051907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010952249","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03396177,0.94726044,0.000039906685,0.000728823,0.0023043533,0.0011277171,0.000309608,0.00015192971,0.014115439],"genre_scores_gemma":[0.029119138,0.963817,0.0001303077,0.00041195026,0.00017097614,0.00011581831,0.000018939012,0.000031863772,0.006183995],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99705064,0.0007668622,0.0002764919,0.0009699732,0.00042753958,0.00050847215],"domain_scores_gemma":[0.9979735,0.0015647403,0.00017085718,0.000122040525,0.00002345171,0.00014543535],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016135898,0.00034081325,0.00059563876,0.0014803755,0.0003614349,0.0002133752,0.0002899078,0.00016545852,0.00014297012],"category_scores_gemma":[0.0010089388,0.0002512906,0.00012947561,0.0028181528,0.00042701824,0.00046771546,0.00018229304,0.00039806234,0.00011125048],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004172868,0.000022811068,0.000018025486,0.0001191384,0.0000016550084,0.000010253442,0.00016878854,1.5560785e-7,0.00058355206,0.00004745191,0.00005374113,0.9989327],"study_design_scores_gemma":[0.0005901676,0.001304218,0.0031410463,0.011275992,0.00034895755,0.00046732865,0.0005824625,0.00011626985,0.00016042573,0.00017546628,0.98008335,0.0017543167],"about_ca_topic_score_codex":0.000008256153,"about_ca_topic_score_gemma":0.000025735157,"teacher_disagreement_score":0.9971784,"about_ca_system_score_codex":0.00011149445,"about_ca_system_score_gemma":0.00008068011,"threshold_uncertainty_score":0.9999939},"labels":[],"label_agreement":null},{"id":"W2011115053","doi":"10.1093/cercor/bht205","title":"Effects of Core Auditory Cortex Deactivation on Neuronal Response to Simple and Complex Acoustic Signals in the Contralateral Anterior Auditory Field","year":2013,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research","keywords":"Auditory cortex; Neuroscience; Somatosensory system; Excitatory postsynaptic potential; Sensory system; Receptive field; Psychology; Cerebral cortex; Auditory system; Biology; Inhibitory postsynaptic potential","score_opus":0.019052039726765484,"score_gpt":0.25709499546035275,"score_spread":0.23804295573358727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011115053","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99715424,0.0000031751251,0.00012255558,0.000793433,0.00090458017,0.0009078201,0.000010770083,0.000029072913,0.00007433409],"genre_scores_gemma":[0.9926748,0.0000037571817,0.000010663626,0.006914712,0.00018018055,0.00005709863,0.00000433156,0.000016535805,0.00013789356],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983988,0.0003282172,0.00030083116,0.00038547086,0.0003033558,0.00028336968],"domain_scores_gemma":[0.99685955,0.002657709,0.00014835421,0.00020674868,0.000041316933,0.00008633565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018764714,0.00018442492,0.00023880141,0.00013409517,0.00012237302,0.00006643524,0.00021241665,0.0000734096,0.00010920089],"category_scores_gemma":[0.0008726686,0.00013652959,0.000054739823,0.00020174272,0.00008840591,0.00019358174,0.00005981997,0.00024071283,0.000029377228],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007248363,0.00007718833,0.0010753636,0.000035581426,0.0000025978882,0.000018800702,0.0001398517,0.00006216322,0.9925308,0.00006468908,0.0037669921,0.0015011071],"study_design_scores_gemma":[0.000723576,0.0014935102,0.96348566,0.000055182692,0.000009423932,0.000013842973,0.00003114163,0.009000399,0.024230614,0.00043132552,0.00036329209,0.00016202417],"about_ca_topic_score_codex":0.00006766418,"about_ca_topic_score_gemma":0.000019442057,"teacher_disagreement_score":0.9683002,"about_ca_system_score_codex":0.000037008682,"about_ca_system_score_gemma":0.00002865285,"threshold_uncertainty_score":0.55675155},"labels":[],"label_agreement":null},{"id":"W2011159956","doi":"10.1007/s004269900008","title":"Neural control of behavior: countermanding eye movements","year":2000,"lang":"en","type":"review","venue":"Psychological Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"National Eye Institute; National Institute of Mental Health","keywords":"Macaque; Task (project management); Frontal cortex; Action (physics); Control (management); Psychology; Eye movement; Neuroscience; Cognitive psychology; Movement (music); Computer science; Artificial intelligence","score_opus":0.3975669226594541,"score_gpt":0.5435658032692557,"score_spread":0.14599888060980165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011159956","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0067789233,0.9717484,0.000024381738,0.00006273286,0.00089593354,0.0028894136,0.00034474922,0.00009080434,0.017164636],"genre_scores_gemma":[0.030733174,0.96649575,0.000003436119,0.0001704361,0.00012955323,0.0002992524,0.000019107301,0.000035757632,0.0021135153],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99525034,0.0012441614,0.00067564147,0.00093689916,0.0011639773,0.00072898925],"domain_scores_gemma":[0.99788725,0.0011181539,0.00019255278,0.0005642062,0.000070311,0.00016752076],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009952801,0.00030471478,0.000997973,0.00037572847,0.00019723283,0.000098886296,0.0009589929,0.0003415306,0.0010530439],"category_scores_gemma":[0.0005308171,0.00020315207,0.00041051602,0.00079986977,0.00042839264,0.000085267646,0.00014209581,0.0014348077,0.00035948865],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060765855,0.00040977466,0.000027296925,0.0006437562,0.0000072682565,0.00012398505,0.0000038174517,5.9432125e-7,0.00049999414,0.00032573802,0.00031700038,0.99758],"study_design_scores_gemma":[0.00057140004,0.0009138136,0.0001565477,0.0011868109,0.00005927072,0.000047817644,0.0000026506445,0.0001891053,0.000018505067,0.0003033413,0.99623835,0.00031239743],"about_ca_topic_score_codex":0.00000525838,"about_ca_topic_score_gemma":3.1370297e-7,"teacher_disagreement_score":0.9972676,"about_ca_system_score_codex":0.00009319327,"about_ca_system_score_gemma":0.00002796482,"threshold_uncertainty_score":0.9998601},"labels":[],"label_agreement":null},{"id":"W2011190353","doi":"10.1523/jneurosci.5708-09.2009","title":"Reciprocal Modulatory Influences between Tonotopic and Nontonotopic Cortical Fields in the Cat","year":2010,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Tonotopy; Auditory cortex; Neuroscience; Receptive field; Local field potential; Sensory system; Electrophysiology; Latency (audio); Cortex (anatomy); Psychology; Computer science","score_opus":0.036774083302480165,"score_gpt":0.2912536081654798,"score_spread":0.25447952486299963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011190353","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99671376,0.000005139974,0.00013925221,0.0019662972,0.00092706835,0.00009142862,8.8656e-7,0.000004882757,0.00015127803],"genre_scores_gemma":[0.9970246,0.000028987371,0.0000564924,0.0026896081,0.00016288203,0.0000018196265,2.6698896e-8,0.0000032710468,0.00003233553],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988093,0.00011762962,0.0003134532,0.00020174988,0.0003704698,0.0001874024],"domain_scores_gemma":[0.99913055,0.00045897992,0.00015123627,0.00014966757,0.000028467835,0.00008107731],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050768733,0.00008396022,0.00013192701,0.00009619314,0.00014917745,0.00011373671,0.00046130983,0.000055991248,0.0000035242615],"category_scores_gemma":[0.001295309,0.00005139668,0.000039875613,0.00027405997,0.00030234238,0.00038023284,0.000055096112,0.00062711857,0.0000010821182],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008940003,0.000038250342,0.07112886,0.0000046473197,2.6025418e-7,0.00007475292,0.00018999187,0.000032176526,0.9214185,0.0012319299,0.00002243851,0.0058492874],"study_design_scores_gemma":[0.0001986941,0.00032512593,0.9815562,0.000009521567,0.00000515147,0.00037798574,0.00002239064,0.0028062467,0.011364407,0.0016229261,0.0016293952,0.0000820033],"about_ca_topic_score_codex":0.0000085767415,"about_ca_topic_score_gemma":0.000028413931,"teacher_disagreement_score":0.9104273,"about_ca_system_score_codex":0.000009170349,"about_ca_system_score_gemma":0.000054654058,"threshold_uncertainty_score":0.2724553},"labels":[],"label_agreement":null},{"id":"W2011445483","doi":"10.2316/journal.206.2004.4.206-2802","title":"Active Sensing of Visual and Tactile Stimuli by Brain-based Devices","year":2004,"lang":"en","type":"article","venue":"International Journal of Robotics and Automation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Neuroscience; Neurophysiology; Neuromorphic engineering; Artificial intelligence; Sensory system; Artificial neural network; Psychology","score_opus":0.015447783094633922,"score_gpt":0.2911577708925445,"score_spread":0.2757099877979106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011445483","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95726764,0.000018973635,0.03861112,0.0036607117,0.00033896757,0.000041961546,0.000010473812,0.0000073826177,0.00004275828],"genre_scores_gemma":[0.997844,0.000020594842,0.0015644046,0.0005027486,0.000051694646,1.0209819e-7,0.000003194651,0.000005238741,0.000008038184],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993153,0.000026975633,0.00023166013,0.00008584285,0.00028362265,0.000056572066],"domain_scores_gemma":[0.99919426,0.00020408657,0.00037098106,0.000023763476,0.00017012577,0.000036804642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009215093,0.000063087464,0.000096059375,0.000117363525,0.000042489522,0.00006267267,0.000057808462,0.000029228457,0.0000032633714],"category_scores_gemma":[0.00021584795,0.000054308897,0.000029244178,0.000057682144,0.000048654496,0.00026087894,0.000017428349,0.000079442165,3.855938e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010960686,0.00011548776,0.00025858384,0.000017210523,0.0000242234,0.000019749092,0.00015597043,0.063625425,0.8941739,0.0017028438,0.000065371234,0.039731596],"study_design_scores_gemma":[0.0022153014,0.0006126732,0.009549457,0.00024782354,0.00003263837,0.0002897492,0.00011412835,0.5554211,0.4271098,0.003944041,0.00029294856,0.00017029609],"about_ca_topic_score_codex":0.000010929117,"about_ca_topic_score_gemma":0.000002883666,"teacher_disagreement_score":0.4917957,"about_ca_system_score_codex":0.00003898962,"about_ca_system_score_gemma":0.00003750795,"threshold_uncertainty_score":0.22146524},"labels":[],"label_agreement":null},{"id":"W2011602242","doi":"10.1016/j.jinsphys.2010.03.015","title":"Rhythmic behaviour and pattern-generating circuits in the locust: Key concepts and recent updates","year":2010,"lang":"en","type":"article","venue":"Journal of Insect Physiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Israel Science Foundation","keywords":"Locust; Central pattern generator; Neuroscience; Rhythm; Biology; Biological neural network; Sensory system; Sensory processing; Neuromodulation; Focus (optics); Cognitive science; Communication; Central nervous system; Psychology; Ecology","score_opus":0.025085108811242814,"score_gpt":0.27005532722968545,"score_spread":0.24497021841844263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011602242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985552,0.000041037547,0.000012461699,0.00071186584,0.0005579357,0.00008069317,0.0000031642069,0.0000030204117,0.000034666897],"genre_scores_gemma":[0.9976291,0.0002813426,0.000016764672,0.0018330871,0.0002251482,0.0000021467515,6.824302e-7,0.0000059840513,0.0000057098864],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99919164,0.00018737486,0.00023945355,0.0001451849,0.00009653648,0.00013981848],"domain_scores_gemma":[0.9993981,0.0002294243,0.00021137438,0.00008484477,0.000039749953,0.000036465957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002560775,0.00008626514,0.00015293322,0.00006526368,0.00008784138,0.000040010967,0.000110778725,0.000056370365,0.00002271657],"category_scores_gemma":[0.00023002127,0.000052758045,0.000024897565,0.00009120288,0.000112247675,0.00012339854,0.000036122216,0.0004826699,0.0000010277291],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012735374,0.000027380123,0.003181959,0.0000042185566,0.0000013866216,0.000031588297,0.0002440157,0.000015554733,0.9818213,0.00012461144,0.000058030415,0.014477203],"study_design_scores_gemma":[0.0019655884,0.0017745945,0.8348859,0.00005742018,0.000026918306,0.0048984364,0.00029489072,0.0039694156,0.14706613,0.0036806755,0.0010394531,0.00034060038],"about_ca_topic_score_codex":0.000013911911,"about_ca_topic_score_gemma":0.000053158412,"teacher_disagreement_score":0.8347552,"about_ca_system_score_codex":0.00000777404,"about_ca_system_score_gemma":0.00002042441,"threshold_uncertainty_score":0.21514106},"labels":[],"label_agreement":null},{"id":"W2011868317","doi":"10.1162/neco.2008.11-07-654","title":"Stimulus Representation and the Timing of Reward-Prediction Errors in Models of the Dopamine System","year":2008,"lang":"en","type":"letter","venue":"Neural Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":159,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"ENCODE; Stimulus (psychology); Mean squared prediction error; Reinforcement learning; Dopamine; Computer science; Stimulus generalization; Temporal difference learning; Artificial intelligence; Psychology; Neuroscience; Machine learning; Cognitive psychology; Perception; Biology","score_opus":0.055658113492005196,"score_gpt":0.26277320068860954,"score_spread":0.20711508719660435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011868317","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9316099,0.000060381426,0.0030248063,0.061221767,0.0019926713,0.0014367208,0.00007116262,0.000068790585,0.0005137948],"genre_scores_gemma":[0.9918885,0.000029422485,0.000034879464,0.0076953107,0.000182991,0.000017832357,0.000035483492,0.000020972571,0.000094602],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977759,0.0006106447,0.00057239685,0.0003750081,0.0005209884,0.00014503876],"domain_scores_gemma":[0.99845105,0.0005769731,0.00063371257,0.00024212177,0.000083597195,0.0000125303495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019086643,0.00017137906,0.0003131527,0.00016347905,0.00012779272,0.000021689892,0.00019555725,0.00016668254,7.1078415e-7],"category_scores_gemma":[0.00017747487,0.00010678609,0.00010861295,0.00044991067,0.000223867,0.00019616529,0.000091301765,0.00057646766,4.5316543e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043071262,0.000040585866,0.00037429685,0.00080488133,0.00001762085,0.00006916013,0.0013285385,0.95212543,0.020294612,0.0006837548,0.0195112,0.0043192008],"study_design_scores_gemma":[0.0008161755,0.000057354096,0.0014583654,0.00014059381,0.000029426023,0.00011852427,0.000040434363,0.9949998,0.0016149541,0.0005869442,0.00005391703,0.00008346207],"about_ca_topic_score_codex":0.00021654832,"about_ca_topic_score_gemma":0.0000075775374,"teacher_disagreement_score":0.060278602,"about_ca_system_score_codex":0.000063116684,"about_ca_system_score_gemma":0.00002231249,"threshold_uncertainty_score":0.43546104},"labels":[],"label_agreement":null},{"id":"W2012668662","doi":"10.1016/s0925-2312(02)00835-4","title":"Spike initiation in a hippocampal interneuron model","year":2003,"lang":"en","type":"article","venue":"Neurocomputing","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; University of Toronto","funders":"","keywords":"Interneuron; Spike (software development); Neuroscience; Hippocampal formation; Computer science; Biology; Inhibitory postsynaptic potential","score_opus":0.04299655944057512,"score_gpt":0.26646031543645887,"score_spread":0.22346375599588375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012668662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98263824,0.0000022541608,0.007337966,0.00010642187,0.00044046785,0.00017658564,9.569752e-7,0.00009835209,0.009198779],"genre_scores_gemma":[0.9972937,0.000003423101,0.00030604258,0.0022343602,0.000038556624,0.0000056089275,7.883865e-7,0.000021715294,0.000095788135],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986708,0.00017246914,0.00025229173,0.00043764015,0.00017861048,0.0002881836],"domain_scores_gemma":[0.999522,0.00018287178,0.000087861896,0.00014445155,0.000013709543,0.000049143804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000160837,0.00013076304,0.00011424091,0.00014307836,0.00008606293,0.000059375536,0.00013141989,0.000041380332,0.000009790825],"category_scores_gemma":[0.00057378685,0.00013435856,0.000044494416,0.00032852104,0.000022121278,0.00017082278,0.000053111427,0.0002731186,0.00003210831],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000313774,0.00015757988,0.0042079706,0.000026194582,6.8946423e-7,0.00010624413,0.00033828427,0.12231743,0.8346075,0.026863724,0.00007002147,0.0112729985],"study_design_scores_gemma":[0.0004180135,0.000070147325,0.0013465246,0.000019644256,0.0000017525041,0.000053063977,0.000008191397,0.94532996,0.0492538,0.0030352452,0.0003068633,0.00015679393],"about_ca_topic_score_codex":0.0000035214211,"about_ca_topic_score_gemma":0.0000037443488,"teacher_disagreement_score":0.82301253,"about_ca_system_score_codex":0.00003626105,"about_ca_system_score_gemma":0.000023648028,"threshold_uncertainty_score":0.5478983},"labels":[],"label_agreement":null},{"id":"W2012795616","doi":"10.1523/jneurosci.5641-10.2011","title":"The Importance of Being Variable","year":2011,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":498,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Baycrest Hospital","funders":"Canadian Institutes of Health Research; Rotman Research Institute, Baycrest; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; James S. McDonnell Foundation","keywords":"Variable (mathematics); Psychology; Cognitive psychology; Mathematics","score_opus":0.0469201258236872,"score_gpt":0.2553633699540422,"score_spread":0.20844324413035498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012795616","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99159294,0.000019070454,0.001317598,0.0002888038,0.0018943693,0.00006067545,0.0000013040936,0.000007709996,0.004817543],"genre_scores_gemma":[0.9983779,0.00010468558,0.0003090317,0.00084708125,0.000042854972,5.1524995e-7,8.112952e-9,0.000005759593,0.00031216315],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987935,0.0000710374,0.00039710684,0.0001446119,0.0004027165,0.00019107148],"domain_scores_gemma":[0.9988497,0.0002310468,0.000574939,0.00018694228,0.00009067608,0.00006673558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055202463,0.00006952525,0.00011322776,0.00006065609,0.00022016355,0.000038725862,0.0006059806,0.000018334082,0.000008928346],"category_scores_gemma":[0.001569475,0.00004120043,0.00006588808,0.00047858525,0.000256451,0.0003854009,0.00006703287,0.0001844533,0.0000013766236],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030322974,0.00003620222,0.0024048204,0.0000029016387,3.5737042e-7,0.000028448801,0.00006495499,0.000024021787,0.9772986,0.019530704,0.00008930565,0.00048932194],"study_design_scores_gemma":[0.0005596247,0.0017138557,0.090064414,0.000070296956,0.00002537677,0.0016389549,0.00009576686,0.005936175,0.8277089,0.058564816,0.013349382,0.00027245603],"about_ca_topic_score_codex":0.0000019664055,"about_ca_topic_score_gemma":8.3101395e-7,"teacher_disagreement_score":0.14958976,"about_ca_system_score_codex":0.000012291756,"about_ca_system_score_gemma":0.00006696051,"threshold_uncertainty_score":0.18789217},"labels":[],"label_agreement":null},{"id":"W2012854376","doi":"10.1121/1.4708040","title":"Differentiating the roles of parietal cortex, auditory cortex and the thalamus in auditory stream segregation","year":2012,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Thalamus; Auditory cortex; Neuroscience; Posterior parietal cortex; Cortex (anatomy); Auditory imagery; Macaque; Stimulus (psychology); Functional magnetic resonance imaging; Psychology; Cognitive neuroscience of music; Prefrontal cortex; Cognitive psychology; Mental image; Cognition","score_opus":0.011223257796418957,"score_gpt":0.23261728847071048,"score_spread":0.22139403067429153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012854376","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98971325,0.00018952154,0.0051612384,0.003623973,0.0010177011,0.00019444429,0.000008095784,0.0000050348635,0.000086734544],"genre_scores_gemma":[0.9982622,0.00040528292,0.00014376623,0.0007223998,0.00041028377,0.0000015549818,1.9714739e-7,0.000009725305,0.000044592292],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99820244,0.00053334003,0.0004365491,0.00008510378,0.0005278795,0.00021466392],"domain_scores_gemma":[0.99619067,0.00257552,0.00089111924,0.00023191166,0.00006528746,0.00004549899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095249456,0.00012235001,0.00026533328,0.000013042005,0.00028370455,0.000019643088,0.00045500143,0.00005206228,0.000013729522],"category_scores_gemma":[0.0006830633,0.000046566005,0.00024822765,0.00020175996,0.0016271963,0.00013320711,0.0001869629,0.0005478106,6.50593e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006909977,0.00048583033,0.0059898775,0.00008584102,0.0001531675,8.100204e-7,0.006853329,0.004196953,0.94591475,0.00045343646,0.0064209593,0.028754078],"study_design_scores_gemma":[0.0022820837,0.00048848026,0.50373423,0.00019760338,0.00067277096,0.00015715587,0.010276959,0.46407834,0.011444946,0.005922481,0.00047671664,0.00026825521],"about_ca_topic_score_codex":0.000028923216,"about_ca_topic_score_gemma":0.0000025366285,"teacher_disagreement_score":0.93446976,"about_ca_system_score_codex":0.000036115118,"about_ca_system_score_gemma":0.000039534665,"threshold_uncertainty_score":0.59954727},"labels":[],"label_agreement":null},{"id":"W2013022413","doi":"10.1073/pnas.1321072111","title":"Resting GABA and glutamate concentrations do not predict visual gamma frequency or amplitude","year":2014,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":106,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"University of Oxford; Medical Research Council; National Institute for Health and Care Research; Wellcome Trust","keywords":"Glutamate receptor; gamma-Aminobutyric acid; Visual cortex; Excitatory postsynaptic potential; Magnetoencephalography; Neuroscience; GABAergic; Amplitude; Inhibitory postsynaptic potential; Nuclear magnetic resonance; Occipital lobe; Chemistry; Physics; Biology; Electroencephalography; Biochemistry; Optics; Receptor","score_opus":0.057258573394211344,"score_gpt":0.3182815480560316,"score_spread":0.26102297466182023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013022413","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99367696,0.000008965354,0.000009799626,0.0025543037,0.000054136537,0.00016697255,0.000018761584,0.000021671802,0.0034884156],"genre_scores_gemma":[0.9985203,0.000022896318,0.0006018746,0.00064210297,0.00008306058,0.000007313788,6.8316375e-8,0.000003760746,0.0001185884],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99833506,0.000015097947,0.000295252,0.00031371994,0.00087585347,0.00016503409],"domain_scores_gemma":[0.99900573,0.00045561683,0.0003580631,0.0000075397706,0.00012890308,0.000044169148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093574723,0.00008837686,0.000114390255,0.0000930692,0.00039125545,0.000085695836,0.00040531394,0.000051312578,0.000009856491],"category_scores_gemma":[0.0036660333,0.000054179574,0.000034347388,0.00056035817,0.0008818298,0.0005545544,0.00011111012,0.0001381563,9.063298e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014241318,0.000017627022,0.005136348,0.000028072758,0.0000013514325,6.2853456e-9,0.00005531536,0.00003804272,0.8644431,0.12971762,0.0000584092,0.0004898474],"study_design_scores_gemma":[0.00036948881,0.00025624185,0.14624798,0.00017157175,0.000014673813,0.00004820399,0.000082271836,0.044718914,0.7132556,0.09443119,0.0002290801,0.00017482447],"about_ca_topic_score_codex":0.000003624356,"about_ca_topic_score_gemma":1.3958385e-7,"teacher_disagreement_score":0.15118757,"about_ca_system_score_codex":0.000018187253,"about_ca_system_score_gemma":0.000026444011,"threshold_uncertainty_score":0.4388849},"labels":[],"label_agreement":null},{"id":"W2013316414","doi":"10.1016/s0303-2647(02)00162-4","title":"A context-free data compression approach to measuring information transmission by action potentials","year":2003,"lang":"en","type":"article","venue":"Biosystems","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Canadian Institutes of Health Research","keywords":"Computer science; Data compression; Coding (social sciences); Redundancy (engineering); Information theory; Neural coding; Generality; Context (archaeology); Artificial intelligence; Algorithm; Pattern recognition (psychology); Mathematics; Statistics","score_opus":0.1200449044851443,"score_gpt":0.27007569133577924,"score_spread":0.15003078685063495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013316414","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48683584,0.00026872495,0.47787517,0.0013249031,0.0049581253,0.0037409095,0.000729167,0.0006863528,0.023580812],"genre_scores_gemma":[0.99887794,0.000018000843,0.00033175584,0.00036491384,0.000044906512,0.000019897314,0.000098298144,0.000012517909,0.00023173908],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984261,0.0002210383,0.0003381952,0.0003662285,0.00043520133,0.00021326862],"domain_scores_gemma":[0.99872255,0.000043659053,0.00013988273,0.0009260907,0.000038286078,0.00012954943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043486003,0.00014331478,0.00015913759,0.00010056072,0.00023288754,0.00017008529,0.0006489647,0.00008556628,0.000009368378],"category_scores_gemma":[0.0004924597,0.00011661296,0.00003548556,0.00025556897,0.000014080758,0.0010157266,0.00012666114,0.00010341713,0.00005441303],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042054453,0.00006167481,0.000017969676,0.00008939787,0.0000026788284,3.785759e-7,0.00009128018,0.00007040251,0.96284723,0.00067378354,0.01836415,0.017738992],"study_design_scores_gemma":[0.0008986264,0.00008313194,0.000081989725,0.0001240864,0.0000132259665,0.00005393702,0.00022353059,0.028162975,0.52655774,0.00009446964,0.44341075,0.00029551267],"about_ca_topic_score_codex":0.00007233006,"about_ca_topic_score_gemma":0.0000027213039,"teacher_disagreement_score":0.5120421,"about_ca_system_score_codex":0.000047928632,"about_ca_system_score_gemma":0.000019314011,"threshold_uncertainty_score":0.47553384},"labels":[],"label_agreement":null},{"id":"W2013364291","doi":"10.1016/j.neulet.2013.09.016","title":"Frequency-specific plasticity of the auditory cortex elicited by thalamic stimulation in the rat","year":2013,"lang":"en","type":"article","venue":"Neuroscience Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"University of Calgary","keywords":"Neuroscience; Receptive field; Long-term potentiation; Stimulation; Synaptic plasticity; Thalamus; Medial geniculate body; Neuroplasticity; Local field potential; Auditory cortex; Neurotransmission; Neural facilitation; Metaplasticity; Biology; Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Nucleus; Inferior colliculus","score_opus":0.017528632091592434,"score_gpt":0.21816700121947122,"score_spread":0.20063836912787877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013364291","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903235,0.0000026980863,0.00051538734,0.0066507086,0.0018391683,0.00050462456,0.000009396511,0.000026492164,0.00012801422],"genre_scores_gemma":[0.98089343,0.000007947988,0.000007937873,0.01894076,0.000058946236,0.000025701207,8.704942e-7,0.000009711747,0.000054678043],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9980484,0.0003034285,0.00027497846,0.00045540143,0.00060477696,0.00031301435],"domain_scores_gemma":[0.9989482,0.00047304475,0.00018065267,0.0003430202,0.000022278984,0.000032773707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015575426,0.00014695984,0.00011378004,0.00008357721,0.00024895082,0.00011371476,0.00082884135,0.00004018378,0.00002139259],"category_scores_gemma":[0.00038434096,0.000085954445,0.000061781975,0.0009494811,0.00053366664,0.00041292212,0.00006774622,0.00031760937,0.000019472496],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000026470661,0.000038796854,0.004242569,0.0000029947062,9.920412e-8,0.0000023884295,0.00006916756,0.0010622492,0.9872562,0.00019416012,0.0069490047,0.00017972128],"study_design_scores_gemma":[0.00037950385,0.00009761214,0.7916078,0.000020573996,0.0000044860617,0.000024879193,0.000034845478,0.0449758,0.16098838,0.00047588165,0.001158726,0.00023150076],"about_ca_topic_score_codex":0.00006054845,"about_ca_topic_score_gemma":0.0000047430326,"teacher_disagreement_score":0.82626784,"about_ca_system_score_codex":0.000038854912,"about_ca_system_score_gemma":0.000018996829,"threshold_uncertainty_score":0.35051206},"labels":[],"label_agreement":null},{"id":"W2013559603","doi":"10.1152/jn.00360.2014","title":"Decoding stimulus duration from neural responses in the auditory midbrain","year":2014,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"National Institute on Deafness and Other Communication Disorders","keywords":"Stimulus (psychology); Population; Inferior colliculus; Neuroscience; Neural decoding; Spike train; Midbrain; Decoding methods; Audiology; Psychology; Computer science; Mathematics; Statistics; Medicine; Central nervous system; Cognitive psychology; Spike (software development)","score_opus":0.03180765591565441,"score_gpt":0.27308644740105964,"score_spread":0.24127879148540524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013559603","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99520415,0.000004198863,0.00022119042,0.0024445108,0.001946571,0.000060460254,0.0000028241,0.000008199936,0.000107897315],"genre_scores_gemma":[0.9944524,0.000020153975,0.0000502119,0.00456811,0.0008597472,0.0000014188022,7.015071e-7,0.000009814429,0.000037417747],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9977233,0.001338952,0.00039807888,0.00018175074,0.00019106444,0.00016687997],"domain_scores_gemma":[0.99687177,0.002557384,0.0003344518,0.00016466624,0.000036276524,0.00003544916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018643588,0.0001026618,0.00018335458,0.00013393002,0.00010078923,0.00003951595,0.0003331253,0.000045865054,0.000014611634],"category_scores_gemma":[0.0024697254,0.00006543889,0.00008425761,0.00017645286,0.000081494734,0.00019293347,0.000037009242,0.00039034727,0.000012932114],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033781095,0.000039613402,0.00007309703,0.0000019338943,0.0000012022088,0.00009399228,0.000086097614,0.0014985839,0.994476,0.00026519853,0.00021829756,0.0029081246],"study_design_scores_gemma":[0.0020426943,0.0034553304,0.6592332,0.000037236485,0.000031730935,0.000679577,0.00011562058,0.28975755,0.023569793,0.012996848,0.007735275,0.00034516747],"about_ca_topic_score_codex":0.0000067815554,"about_ca_topic_score_gemma":0.0000028695226,"teacher_disagreement_score":0.97090626,"about_ca_system_score_codex":0.00001745974,"about_ca_system_score_gemma":0.000023104541,"threshold_uncertainty_score":0.29566705},"labels":[],"label_agreement":null},{"id":"W2013567482","doi":"10.1523/jneurosci.2726-11.2013","title":"Anatomical Evidence that the Superior Colliculus Controls Saccades through Central Mesencephalic Reticular Formation Gating of Omnipause Neuron Activity","year":2013,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Immunovaccine (Canada)","funders":"National Eye Institute","keywords":"Neuroscience; Reticular formation; Superior colliculus; GABAergic; Paramedian pontine reticular formation; Inhibitory postsynaptic potential; Neuron; Premovement neuronal activity; Fixation (population genetics); Nucleus; Chemistry; Biology","score_opus":0.06612903895366345,"score_gpt":0.29363039659550005,"score_spread":0.2275013576418366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013567482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99198663,0.000055995297,0.0027492999,0.0037622212,0.0009269481,0.0004639762,0.000004663994,0.000017066728,0.00003319655],"genre_scores_gemma":[0.9979219,0.00028248172,0.00008923562,0.0015767207,0.0000817123,0.00000816937,7.159444e-8,0.00001239626,0.000027318058],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9970082,0.00053247256,0.0005876018,0.0003266443,0.0010828637,0.00046222613],"domain_scores_gemma":[0.9971914,0.0009929537,0.0011785745,0.00030561752,0.00018800191,0.0001434412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005290854,0.00019635195,0.00032565044,0.000093285926,0.00035730065,0.00023508021,0.00081974297,0.000059784834,0.000019371575],"category_scores_gemma":[0.0044783307,0.00012120837,0.00018967873,0.00067288335,0.0005670922,0.00380845,0.00012912905,0.00048161624,0.0000047503445],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005891846,0.000064777734,0.0016303399,0.000018265497,0.0000010684125,0.000023625069,0.00024800794,0.00058496237,0.99592215,0.00026108278,0.00007871467,0.0011080973],"study_design_scores_gemma":[0.00039345474,0.0007272174,0.15832879,0.0001514743,0.000028688997,0.00086056837,0.00014017892,0.08299548,0.7554338,0.0005256675,0.00023125768,0.0001834548],"about_ca_topic_score_codex":0.000042719646,"about_ca_topic_score_gemma":0.0000029904343,"teacher_disagreement_score":0.24048837,"about_ca_system_score_codex":0.00007720101,"about_ca_system_score_gemma":0.00010058974,"threshold_uncertainty_score":0.53613037},"labels":[],"label_agreement":null},{"id":"W2014120142","doi":"10.1103/physreve.67.026223","title":"Detecting generalized synchrony: An improved approach","year":2003,"lang":"en","type":"article","venue":"Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Identification (biology); Computer science; Physics; Pattern recognition (psychology); Statistical physics; Algorithm; Artificial intelligence; Biological system; Biology","score_opus":0.021922946585360672,"score_gpt":0.31327524779131594,"score_spread":0.2913523012059553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014120142","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75623477,0.0038728493,0.16738537,0.0020538862,0.004579881,0.004148894,0.00048885745,0.000973693,0.060261834],"genre_scores_gemma":[0.99205786,0.0020509392,0.003517969,0.0007762404,0.00051078637,0.00008202164,0.00012211206,0.00009071147,0.0007913794],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967415,0.0005278872,0.000664791,0.0011079658,0.0003529792,0.0006048733],"domain_scores_gemma":[0.99842376,0.00044578963,0.00019178538,0.00049730344,0.00007428591,0.00036708554],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026020253,0.00048889284,0.00077233976,0.00004624037,0.0005444559,0.00011990851,0.0002761402,0.00012419837,0.000051323423],"category_scores_gemma":[0.0006221768,0.00039162938,0.0002065125,0.00029709397,0.00040637137,0.00042463816,0.00030228248,0.0008042189,0.000050019462],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014358152,0.0017756297,0.000056296558,0.0016884325,0.00010171369,0.00007750244,0.0007571239,0.0002065345,0.17993152,0.7253475,0.0014697319,0.08844441],"study_design_scores_gemma":[0.0013877662,0.0013791816,0.00017874343,0.0004909167,0.00032455445,0.0001861582,0.000103625425,0.5624538,0.014594152,0.41567782,0.0020468144,0.0011764871],"about_ca_topic_score_codex":0.000006474297,"about_ca_topic_score_gemma":0.000001551192,"teacher_disagreement_score":0.5622473,"about_ca_system_score_codex":0.00007903954,"about_ca_system_score_gemma":0.0000470183,"threshold_uncertainty_score":0.99985355},"labels":[],"label_agreement":null},{"id":"W2014136931","doi":"10.3389/fncir.2015.00004","title":"Cell-attached single-channel recordings in intact prefrontal cortex pyramidal neurons reveal compartmentalized D1/D5 receptor modulation of the persistent sodium current","year":2015,"lang":"en","type":"article","venue":"Frontiers in Neural Circuits","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Soma; Neuroscience; Bursting; Axon; Patch clamp; Prefrontal cortex; Chemistry; Agonist; Electrophysiology; Dendrite (mathematics); Neuron; Sodium channel; Biophysics; Receptor; Biology; Sodium","score_opus":0.05859012226490158,"score_gpt":0.2540279755800727,"score_spread":0.1954378533151711,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014136931","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888757,0.0001608004,0.00016588539,0.00034797456,0.008972609,0.000972301,0.000060184168,0.00004944187,0.0003951347],"genre_scores_gemma":[0.9993639,0.0000149715215,0.000034810568,0.0001791483,0.00008553332,0.00003789418,0.000031947897,0.000037956146,0.00021381256],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99707794,0.00046149228,0.0006733401,0.0007045568,0.0005777803,0.0005048675],"domain_scores_gemma":[0.99894094,0.000076315715,0.00039616425,0.00036782518,0.000057776277,0.00016095642],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026857582,0.00031729386,0.0004492449,0.00025259622,0.00011218502,0.000060111808,0.00048056463,0.00010825801,0.000007924746],"category_scores_gemma":[0.00025793482,0.0002723966,0.00022901809,0.000663432,0.00020082026,0.00040078096,0.00016922902,0.00051207485,0.0000056649806],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005899746,0.0013859393,0.1512446,0.00013549517,0.000013365618,0.000017545557,0.002702276,0.008259995,0.81391966,0.000050999326,0.009041198,0.012638966],"study_design_scores_gemma":[0.009330477,0.0015175865,0.40954116,0.0003049027,0.00008406991,0.000061823805,0.0016222429,0.5210731,0.05280749,0.0012225206,0.001174093,0.0012605115],"about_ca_topic_score_codex":0.0000736209,"about_ca_topic_score_gemma":0.000029356617,"teacher_disagreement_score":0.76111215,"about_ca_system_score_codex":0.00060164684,"about_ca_system_score_gemma":0.00006893872,"threshold_uncertainty_score":0.9999728},"labels":[],"label_agreement":null},{"id":"W2014154533","doi":"10.1186/1471-2202-15-s1-p115","title":"Finite size effect induces stochastic gamma oscillation in inhibitory network with conduction delay","year":2014,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Ottawa","funders":"","keywords":"Noise (video); Oscillation (cell signaling); Stochastic process; Statistical physics; Population; Stochastic modelling; Biological neuron model; Physics; Mathematics; Computer science; Artificial neural network; Artificial intelligence; Statistics","score_opus":0.025090360765769943,"score_gpt":0.24086294411478518,"score_spread":0.21577258334901522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014154533","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9789057,0.000004095453,0.018271679,0.00008093028,0.0018301823,0.00043819187,0.000002071933,0.000115913645,0.00035124234],"genre_scores_gemma":[0.99849284,0.0000027640674,0.00010559811,0.0008764269,0.00023743056,0.00003812099,9.284244e-7,0.00002295294,0.00022297047],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974029,0.0004761506,0.000272572,0.000848665,0.0005152546,0.0004844724],"domain_scores_gemma":[0.9974867,0.0018802346,0.00018573934,0.00030432464,0.00003095793,0.00011200637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006293638,0.00023175901,0.00020775304,0.00013578858,0.00031757573,0.00014759593,0.00026492847,0.000072032424,0.000006540068],"category_scores_gemma":[0.00310208,0.00018361604,0.00004315379,0.0012386603,0.00029770812,0.0005846667,0.00007758559,0.00023639276,0.000022818182],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017705756,0.000054413984,0.0047923243,0.00002389751,2.6227463e-7,0.000011815016,0.000045556633,0.33518437,0.6564663,0.0008913804,0.000034601595,0.0023180027],"study_design_scores_gemma":[0.0022972964,0.0028580246,0.12388588,0.0001845319,0.000019664636,0.00020504813,0.00001740867,0.8151869,0.05210493,0.0013763518,0.0009746156,0.000889336],"about_ca_topic_score_codex":0.000013165315,"about_ca_topic_score_gemma":0.000055053806,"teacher_disagreement_score":0.6043614,"about_ca_system_score_codex":0.000050773124,"about_ca_system_score_gemma":0.00005789207,"threshold_uncertainty_score":0.74876446},"labels":[],"label_agreement":null},{"id":"W2014164354","doi":"10.1016/j.ijpsycho.2013.05.016","title":"EEG amplitude spectra before near threshold visual presentations differentially predict detection/omission and short–long reaction time outcomes","year":2013,"lang":"en","type":"article","venue":"International Journal of Psychophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Parvocellular cell; Stimulus (psychology); Electroencephalography; Audiology; Psychology; Amplitude; Perception; Visual perception; Pattern recognition (psychology); Speech recognition; Communication; Neuroscience; Physics; Computer science; Optics; Cognitive psychology; Medicine","score_opus":0.01427035359103206,"score_gpt":0.3039363084432557,"score_spread":0.28966595485222363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014164354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941686,0.000007078619,0.0015623748,0.0013947722,0.002420313,0.0001798431,0.000008350892,0.00002742975,0.00023126794],"genre_scores_gemma":[0.9986043,0.000048244856,0.00011335575,0.00037253503,0.00041571358,0.000009439102,0.00000968078,0.000016460395,0.00041024367],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986302,0.00008302266,0.00045731076,0.00026336452,0.00039460923,0.00017143863],"domain_scores_gemma":[0.9991302,0.00015200632,0.00028504952,0.00010395452,0.00021675888,0.0001120582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000077169345,0.00015416375,0.00020977418,0.00019630934,0.00013586572,0.00015502362,0.00026073353,0.00008808981,0.0001425922],"category_scores_gemma":[0.00014679837,0.00011695103,0.00013683822,0.00009073892,0.00012133184,0.0005514195,0.00006237638,0.00029675433,0.00004588896],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017877584,0.000158774,0.0049250713,0.00000302716,0.00005956882,0.000013221472,0.00006179146,0.00004885321,0.9840469,0.000110648274,0.00022472536,0.010168682],"study_design_scores_gemma":[0.0008220405,0.0006447595,0.965458,0.000022463464,0.000027581178,0.0003165809,0.000020982554,0.011057177,0.012554881,0.008787064,0.00015021994,0.0001382921],"about_ca_topic_score_codex":0.000027933665,"about_ca_topic_score_gemma":0.0000094591105,"teacher_disagreement_score":0.971492,"about_ca_system_score_codex":0.00004851366,"about_ca_system_score_gemma":0.00002499141,"threshold_uncertainty_score":0.47691247},"labels":[],"label_agreement":null},{"id":"W2014218648","doi":"10.1016/j.bbr.2009.08.038","title":"Kindled seizure in the prefrontal cortex activated behavioral hyperactivity and increase in accumbens gamma oscillations through the hippocampus","year":2009,"lang":"en","type":"article","venue":"Behavioural Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Prepulse inhibition; Prefrontal cortex; Neuroscience; Nucleus accumbens; Hippocampus; Kindling; Psychology; Hippocampal formation; Epilepsy; Schizophrenia (object-oriented programming); Central nervous system; Psychiatry; Cognition","score_opus":0.14042309987907298,"score_gpt":0.3953953816474828,"score_spread":0.2549722817684098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014218648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98442256,0.000022700786,0.0000023347973,0.013499416,0.00008838797,0.0012745704,0.000040546387,0.000037147372,0.00061235327],"genre_scores_gemma":[0.99860716,0.000024418927,0.000018249977,0.00089809,0.000047335056,0.00008419286,0.000022049117,0.000017089562,0.00028140852],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99563086,0.0018281159,0.0003099936,0.00062201545,0.0008968712,0.00071214826],"domain_scores_gemma":[0.997463,0.0018072115,0.00007741401,0.00048928714,0.000071028815,0.00009204375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013791842,0.00021874455,0.00020725688,0.00021174143,0.000648085,0.00030015365,0.00053542736,0.00015073731,0.000043393306],"category_scores_gemma":[0.0009794505,0.00013719594,0.00006515644,0.0013160601,0.00036655262,0.00064695074,0.00016177043,0.0015386869,0.000011504075],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004018327,0.0010043494,0.07270732,0.000005717925,0.000001996856,0.00040897488,0.0022975386,0.000029803954,0.8948737,0.0015952497,0.0005828263,0.026090704],"study_design_scores_gemma":[0.00087829906,0.00038907756,0.99050075,0.000024517905,0.000006715915,0.00016493822,0.0008088401,0.00089736225,0.0021047057,0.0038571404,0.00018220021,0.0001854774],"about_ca_topic_score_codex":0.004105443,"about_ca_topic_score_gemma":0.0034300298,"teacher_disagreement_score":0.9177934,"about_ca_system_score_codex":0.00018021913,"about_ca_system_score_gemma":0.00010909817,"threshold_uncertainty_score":0.6684914},"labels":[],"label_agreement":null},{"id":"W2014250832","doi":"10.1523/jneurosci.1347-11.2011","title":"The Functional Link between Area MT Neural Fluctuations and Detection of a Brief Motion Stimulus","year":2011,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Stimulus (psychology); Neuroscience; Psychology; Link (geometry); Cognitive psychology; Communication; Computer science","score_opus":0.07460922314868389,"score_gpt":0.25639518089591584,"score_spread":0.18178595774723194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014250832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9748447,0.000021555396,0.022712436,0.0007433339,0.0014201909,0.00010657398,0.0000061727164,0.000012980343,0.00013208218],"genre_scores_gemma":[0.9994027,0.00006684433,0.00004450201,0.00021206215,0.00017285535,0.00000153175,1.4429571e-7,0.0000074972086,0.000091841684],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985569,0.00012827714,0.00043095826,0.00021425054,0.00048848137,0.00018114323],"domain_scores_gemma":[0.9986893,0.00038273865,0.0005178373,0.00014584181,0.00016399255,0.00010031482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004210777,0.00010356554,0.00013533782,0.00014687338,0.00044981946,0.00007321433,0.00024147134,0.00003789582,0.000004528339],"category_scores_gemma":[0.001453408,0.000069537426,0.00008038833,0.00046865156,0.00037495594,0.00056623475,0.000062743835,0.000274468,8.863971e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000586186,0.000022267686,0.0014209641,0.0000035067624,0.0000010996234,0.0000062586773,0.00006782076,0.00018843416,0.9606309,0.00030246988,0.0000109815755,0.037286676],"study_design_scores_gemma":[0.0004321624,0.0010561144,0.8155335,0.000015763633,0.000033243392,0.00053368456,0.00003009274,0.053301264,0.12525627,0.002964266,0.00072029233,0.00012333182],"about_ca_topic_score_codex":0.000007298745,"about_ca_topic_score_gemma":0.0000041454045,"teacher_disagreement_score":0.83537465,"about_ca_system_score_codex":0.000022720213,"about_ca_system_score_gemma":0.000040711773,"threshold_uncertainty_score":0.34596932},"labels":[],"label_agreement":null},{"id":"W2014540616","doi":"10.1016/s1053-8119(00)91298-9","title":"Experience dependent modulation of medial temporal lobe fMRI activity","year":2000,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Temporal lobe; Neuroscience; Modulation (music); Psychology; Cognitive psychology; Physics; Epilepsy","score_opus":0.03316364763178795,"score_gpt":0.27372584382772897,"score_spread":0.24056219619594102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014540616","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939568,0.0000016097275,0.00029045728,0.00021886417,0.0003932055,0.00016818561,0.000015645473,0.00006662543,0.004888619],"genre_scores_gemma":[0.9987282,0.00001716436,0.00004509587,0.00029604082,0.000075158234,0.000008562096,0.000001819275,0.000014397326,0.0008135479],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986185,0.0001114374,0.00018160474,0.00040285767,0.0004912697,0.00019433333],"domain_scores_gemma":[0.9994489,0.000093181654,0.0000875191,0.00027813204,0.00002784927,0.00006444247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009153163,0.000119873366,0.00013030838,0.000052250434,0.000093353214,0.000033719487,0.00018196489,0.000043233922,0.00051398645],"category_scores_gemma":[0.00019792754,0.00011176904,0.000059129547,0.00020764334,0.0001083373,0.00039531334,0.00003905536,0.00014168008,0.000055569308],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009215067,0.00008421936,0.0007978056,0.000005718122,3.9107846e-7,0.00002556742,0.00009365149,0.00029835556,0.97579014,0.000084756786,0.00006051803,0.022666702],"study_design_scores_gemma":[0.0005546259,0.00024059234,0.094130166,0.000007800782,0.000005391251,0.000042693602,0.000008185544,0.046282288,0.85660243,0.00040539616,0.0015027695,0.000217688],"about_ca_topic_score_codex":0.000053398227,"about_ca_topic_score_gemma":0.000012990241,"teacher_disagreement_score":0.11918776,"about_ca_system_score_codex":0.00002437907,"about_ca_system_score_gemma":0.000020427466,"threshold_uncertainty_score":0.5627791},"labels":[],"label_agreement":null},{"id":"W2014805078","doi":"10.1007/s10827-009-0207-x","title":"Spatial coherence and stationarity of local field potentials in an isolated whole hippocampal preparation in vitro","year":2010,"lang":"en","type":"article","venue":"Journal of Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of British Columbia; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Local field potential; Hippocampal formation; Neuroscience; Coherence (philosophical gambling strategy); Hippocampus; Biological system; Physics; Computer science; Pattern recognition (psychology); Artificial intelligence; Psychology; Biology","score_opus":0.017317075922419854,"score_gpt":0.2885876617015396,"score_spread":0.2712705857791197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014805078","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9404246,0.0000023809541,0.058499236,0.00044186262,0.000495493,0.000108904365,0.000009563169,0.000004311958,0.000013636632],"genre_scores_gemma":[0.9986875,0.00000271929,0.0008076646,0.0004613952,0.000029451707,0.000001248793,0.0000018572414,0.0000040935697,0.0000040710734],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851465,0.0001514523,0.0005189915,0.00022547269,0.0004578715,0.00013156855],"domain_scores_gemma":[0.99892765,0.00040867314,0.00037395096,0.00007005791,0.00014567077,0.00007398053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040748494,0.00008523939,0.00016268324,0.00024881255,0.0000595117,0.00006172662,0.00019160808,0.0000486478,0.000009110412],"category_scores_gemma":[0.0005210846,0.00007893991,0.000028301087,0.00038389405,0.00022625367,0.0007525987,0.000035717003,0.00033014177,4.9183564e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033530683,0.00015576808,0.0022631162,0.0000059700815,2.2120672e-7,0.000022580563,0.00009354911,0.056825574,0.93405414,0.00059344334,0.000004321493,0.005646008],"study_design_scores_gemma":[0.00062947714,0.00092958065,0.15081231,0.000016343056,0.000002368499,0.00015745623,0.000020873944,0.74154216,0.092141286,0.013642858,0.000012273524,0.00009303467],"about_ca_topic_score_codex":0.000031550007,"about_ca_topic_score_gemma":0.00007422665,"teacher_disagreement_score":0.84191287,"about_ca_system_score_codex":0.000015477892,"about_ca_system_score_gemma":0.00014273105,"threshold_uncertainty_score":0.3219076},"labels":[],"label_agreement":null},{"id":"W2015039597","doi":"10.1152/jn.00497.2013","title":"Temporal scaling of neural responses to compressed and dilated natural speech","year":2014,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institutes of Health; National Institute of Mental Health; University of Toronto","keywords":"Sensory system; Perception; Cognitive psychology; Narrative; Speech perception; Psychology; Cognition; Artificial neural network; Computer science; Neuroscience; Speech recognition; Artificial intelligence; Linguistics","score_opus":0.024514070231285462,"score_gpt":0.2706900481918179,"score_spread":0.24617597796053245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015039597","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99813116,0.000009532478,0.00006506052,0.00074195577,0.0009460674,0.00006933897,0.0000033218912,0.000010860104,0.000022706035],"genre_scores_gemma":[0.9983577,0.000012735456,0.00020442577,0.0011912191,0.0001464325,3.386458e-7,3.9521987e-7,0.000012873786,0.00007384754],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99865526,0.00039306039,0.0004107378,0.00019595317,0.00017270628,0.00017229775],"domain_scores_gemma":[0.9987064,0.0006301721,0.00033401625,0.00013141577,0.000104687606,0.00009330904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008577154,0.000117134565,0.0003203549,0.0001856178,0.00006532256,0.000019933694,0.00020502003,0.00004064032,0.000005746308],"category_scores_gemma":[0.0010917721,0.00008709002,0.000078366334,0.00020302944,0.00011729304,0.0001176294,0.000092855116,0.00028316354,0.000002656672],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00091381394,0.000032751857,0.00018724515,0.0000109217735,0.0000029458397,0.00004844411,0.000023642497,0.0008895753,0.99480146,0.00012187817,0.000032757223,0.0029345609],"study_design_scores_gemma":[0.0024931221,0.0076469705,0.3808476,0.00009869447,0.000051342697,0.0021634458,0.000027019125,0.1648985,0.4365683,0.002002344,0.0027339472,0.0004687345],"about_ca_topic_score_codex":0.0000057035763,"about_ca_topic_score_gemma":3.9436026e-7,"teacher_disagreement_score":0.5582332,"about_ca_system_score_codex":0.0000069397124,"about_ca_system_score_gemma":0.0000137306,"threshold_uncertainty_score":0.35514277},"labels":[],"label_agreement":null},{"id":"W2015176634","doi":"10.1016/j.neuropsychologia.2012.06.015","title":"Temporal variability of the N2pc during efficient and inefficient visual search","year":2012,"lang":"en","type":"article","venue":"Neuropsychologia","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"N2pc; Visual search; Psychology; Visual attention; Cognitive psychology; Neuroscience; Perception","score_opus":0.02753658507940985,"score_gpt":0.2923680571598338,"score_spread":0.26483147208042396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015176634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972322,0.000006587971,0.00007727956,0.00023347863,0.0010874566,0.00025431006,0.0000067969895,0.00004070459,0.0010611865],"genre_scores_gemma":[0.9994823,0.0000034890609,0.000017825498,0.0003235948,0.000058940568,0.000004529026,3.0321482e-7,0.000011325812,0.000097719676],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99845314,0.00038886498,0.0002059877,0.000350211,0.0002894137,0.00031238102],"domain_scores_gemma":[0.9993006,0.00018930621,0.0000793017,0.00032576767,0.00002667804,0.000078370525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048058527,0.00011381798,0.00011278848,0.000049374365,0.00016863676,0.000020962796,0.00019848211,0.00004791495,0.000030555333],"category_scores_gemma":[0.00048267096,0.00007245355,0.000052537012,0.00039578677,0.0002513256,0.00005318557,0.00022573164,0.00025196458,0.000010774638],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053202646,0.00033248702,0.137736,0.000018868164,9.3552705e-7,0.0000018807735,0.00009621418,0.000239753,0.86007667,0.0007785284,0.000017805321,0.0006476687],"study_design_scores_gemma":[0.00025670577,0.00009901658,0.92012817,0.0000058668484,0.0000039846054,0.000048854683,0.000010880878,0.002939558,0.07633028,0.00001734102,0.00007760072,0.00008171303],"about_ca_topic_score_codex":0.0000051987768,"about_ca_topic_score_gemma":2.1990152e-7,"teacher_disagreement_score":0.78374636,"about_ca_system_score_codex":0.000017570965,"about_ca_system_score_gemma":0.000008725709,"threshold_uncertainty_score":0.295457},"labels":[],"label_agreement":null},{"id":"W2015236997","doi":"10.1080/15294145.2010.10773640","title":"Region-Based Approach versus Mechanism-Based Approach to the Brain","year":2010,"lang":"en","type":"article","venue":"Neuropsychoanalysis","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Mechanism (biology); Cognitive science; Hierarchy; Brain function; Contrast (vision); Neuroscience; Computer science; Function (biology); Psychology; Artificial intelligence; Cognitive psychology; Epistemology; Philosophy; Political science; Biology","score_opus":0.03629897823163799,"score_gpt":0.2593563542584271,"score_spread":0.22305737602678913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015236997","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39688665,0.0000067074866,0.49617007,0.03882014,0.005103338,0.0018414621,0.000057838017,0.00074024097,0.06037358],"genre_scores_gemma":[0.9788551,0.0000013952117,0.0017982603,0.017793855,0.00027154354,0.00013398715,0.000020956051,0.00006424717,0.0010606555],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967124,0.0004107194,0.00035224567,0.0012478351,0.00076360104,0.00051318714],"domain_scores_gemma":[0.99717414,0.0007462337,0.00017903128,0.0015616374,0.00008407161,0.00025491166],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042394994,0.00034928482,0.00030306284,0.0003783213,0.00053248246,0.0002479909,0.0010597259,0.00012138503,0.000052720123],"category_scores_gemma":[0.0010967143,0.00024690854,0.00039304703,0.0024932916,0.00012514056,0.00010556624,0.00006888982,0.000715342,0.00013461482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013549264,0.0014713381,0.00014428898,0.000045371853,0.00007304843,0.000044665812,0.00013609887,0.081121504,0.8447706,0.037936743,0.01762354,0.015277857],"study_design_scores_gemma":[0.001677802,0.00031901733,0.00035453148,0.0000039736856,0.00018126602,0.00002017955,0.000035545767,0.9381824,0.018365981,0.00035806358,0.039944526,0.0005567038],"about_ca_topic_score_codex":0.00003289096,"about_ca_topic_score_gemma":0.000028891072,"teacher_disagreement_score":0.8570609,"about_ca_system_score_codex":0.000029055496,"about_ca_system_score_gemma":0.000058869584,"threshold_uncertainty_score":0.99999833},"labels":[],"label_agreement":null},{"id":"W2015532569","doi":"10.1152/jn.01071.2011","title":"Decision making by urgency gating: theory and experimental support","year":2012,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":285,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Sensory system; Computer science; Task (project management); Coherence (philosophical gambling strategy); Gating; Sensory gating; Process (computing); SIGNAL (programming language); Motion (physics); Cognitive psychology; Neural activity; Artificial intelligence; Psychology; Neuroscience; Mathematics; Statistics","score_opus":0.023680989841857583,"score_gpt":0.3028612166618806,"score_spread":0.279180226820023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015532569","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978164,0.00006617248,0.0002726945,0.000052445666,0.0015187351,0.000042216026,0.0000018329939,0.000007536204,0.00022195553],"genre_scores_gemma":[0.99811786,0.00005416951,0.00009801189,0.0014243196,0.00022786144,7.3368926e-7,2.4478223e-7,0.000013147206,0.00006364284],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99900705,0.0002336854,0.00027749245,0.00013173002,0.00014176166,0.00020827167],"domain_scores_gemma":[0.9989933,0.00056269567,0.0002474895,0.00008402612,0.000021120437,0.000091374124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012259977,0.000096799544,0.00016099557,0.00006720802,0.000094332856,0.00001605462,0.00011923899,0.000037906324,0.00012089821],"category_scores_gemma":[0.000466474,0.00007181131,0.00006214042,0.00007571471,0.00007861123,0.0002594777,0.0000764815,0.00018995862,0.000012359535],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029179367,0.000086904816,0.00008178094,0.0000022965273,0.0000018168788,0.0000215419,0.00006410755,0.000014908677,0.9937904,0.0011577243,0.000382746,0.004104018],"study_design_scores_gemma":[0.0019990825,0.008152329,0.040721424,0.00007857909,0.000056541725,0.0063565564,0.000287303,0.001358505,0.90848494,0.016713118,0.015107453,0.0006841535],"about_ca_topic_score_codex":1.6389802e-7,"about_ca_topic_score_gemma":8.946122e-9,"teacher_disagreement_score":0.08530541,"about_ca_system_score_codex":0.000013100427,"about_ca_system_score_gemma":0.000009809928,"threshold_uncertainty_score":0.292838},"labels":[],"label_agreement":null},{"id":"W2015656145","doi":"10.1073/pnas.1217012109","title":"Category-selective phase coding in the superior temporal sulcus","year":2012,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Stimulus (psychology); Categorization; Local field potential; Neuroscience; Neocortex; Psychology; Perception; Pattern recognition (psychology); Artificial intelligence; Computer science; Cognitive psychology","score_opus":0.07829467515569681,"score_gpt":0.3366127459897835,"score_spread":0.2583180708340867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015656145","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914231,0.000023415538,7.8778106e-7,0.0032628125,0.000047398677,0.00019643521,0.000007628574,0.0000069330235,0.005031517],"genre_scores_gemma":[0.9989622,0.000009352091,0.000049970804,0.00082579354,0.000080480306,0.000011773608,5.352974e-8,0.000002700124,0.00005765103],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99848884,0.000019763302,0.00022473483,0.00018142232,0.00088238245,0.00020283725],"domain_scores_gemma":[0.99941254,0.0002649478,0.00022212227,0.000006452895,0.00007023148,0.000023698949],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016690807,0.00007588525,0.00009621162,0.00013468873,0.0002493586,0.00003343837,0.0006748334,0.000042705353,0.000007583898],"category_scores_gemma":[0.0010610187,0.000040519833,0.00004954387,0.0011523833,0.0005867343,0.00077717204,0.00007140503,0.00019945181,0.0000012691769],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016799897,0.00010017701,0.009677226,0.00001139617,9.282477e-7,6.2227072e-9,0.00054103724,0.000010959168,0.89273965,0.096429385,0.00023390217,0.000238535],"study_design_scores_gemma":[0.00034581867,0.00010152981,0.058695458,0.000026594209,0.000005730831,0.00002980528,0.00047884282,0.003022776,0.9109681,0.025916673,0.0003102187,0.00009843518],"about_ca_topic_score_codex":0.0000116640795,"about_ca_topic_score_gemma":1.3141057e-7,"teacher_disagreement_score":0.07051271,"about_ca_system_score_codex":0.000033204546,"about_ca_system_score_gemma":0.00001998786,"threshold_uncertainty_score":0.2161847},"labels":[],"label_agreement":null},{"id":"W2015704203","doi":"10.1038/nrn3061-c1","title":"Moment-to-moment signal variability in the human brain can inform models of stochastic facilitation now","year":2011,"lang":"en","type":"review","venue":"Nature reviews. Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"","keywords":"Moment (physics); Facilitation; SIGNAL (programming language); Human brain; Neuroscience; Computer science; Physics; Psychology","score_opus":0.10547716105121839,"score_gpt":0.3551377239178175,"score_spread":0.2496605628665991,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015704203","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003589132,0.9601768,0.017259525,0.0009201399,0.0023633784,0.016421095,0.0006902304,0.000110192144,0.0016996779],"genre_scores_gemma":[0.010428807,0.9844036,0.00007221761,0.003934838,0.00007647269,0.0007146809,0.000027292794,0.00004535899,0.0002967267],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9933803,0.0018240741,0.001633409,0.0014441469,0.0010695917,0.0006484934],"domain_scores_gemma":[0.9964597,0.0010948628,0.0010030261,0.0011707477,0.00009153603,0.00018007994],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004300624,0.00068573246,0.0016585023,0.00052009174,0.00027079004,0.000115178336,0.0021046486,0.00038973827,0.00001851952],"category_scores_gemma":[0.0023893488,0.00042665354,0.0005194998,0.0029883902,0.00032790043,0.00040088085,0.00031158226,0.0018281165,0.000022725426],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008884587,0.00031923366,0.0000016779145,0.007933253,0.0000024721808,0.000010261934,0.00053591887,0.00023441968,0.0024950565,0.029370047,0.00055223407,0.95853657],"study_design_scores_gemma":[0.00016333691,0.00047247802,0.000044737608,0.0040992177,0.00010353084,0.000057915688,0.000007445596,0.0012156786,0.00002971671,0.0026745386,0.99049187,0.0006395531],"about_ca_topic_score_codex":0.000019289726,"about_ca_topic_score_gemma":0.00003748489,"teacher_disagreement_score":0.98993963,"about_ca_system_score_codex":0.0002518982,"about_ca_system_score_gemma":0.00027185061,"threshold_uncertainty_score":0.9998185},"labels":[],"label_agreement":null},{"id":"W2015711414","doi":"10.1016/j.neuroimage.2010.10.044","title":"Altered long-range alpha-band synchronization during visual short-term memory retention in children born very preterm","year":2010,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":60,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Down Syndrome Research Foundation; University of British Columbia; Simon Fraser University; Child and Family Research Institute","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Canadian Institutes of Health Research; Michael Smith Health Research BC; Child and Family Research Institute","keywords":"Neurocognitive; Psychology; Functional magnetic resonance imaging; Cognition; Neuroscience; Magnetoencephalography; Population; Effects of sleep deprivation on cognitive performance; Visual perception; Audiology; Perception; Cognitive psychology; Electroencephalography; Medicine","score_opus":0.014507110726985649,"score_gpt":0.25161291198348923,"score_spread":0.23710580125650357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015711414","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99718606,0.000009496531,0.00011883587,0.00007826226,0.0013377543,0.00058627815,0.000023523846,0.00015819597,0.00050160603],"genre_scores_gemma":[0.99899596,0.000034249126,0.000015796755,0.00019966601,0.0003365364,0.000023635812,0.000042761112,0.00005369028,0.00029770765],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99802107,0.00013623919,0.0003379546,0.00076490245,0.0003400491,0.0003997959],"domain_scores_gemma":[0.99932307,0.0000631214,0.00010612544,0.00037931622,0.00003080025,0.00009755837],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014250832,0.00023942253,0.0001893724,0.00022163433,0.00019389528,0.00018171313,0.00024761082,0.00011557897,0.00008052873],"category_scores_gemma":[0.0002216497,0.00024611474,0.0000887162,0.00033119752,0.00010578045,0.00071941054,0.0000899273,0.0005358355,0.000036795416],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006321114,0.00008879478,0.15855712,0.000027310101,0.000001869225,0.000069138754,0.00003068555,0.000024165092,0.83853865,0.000008694194,0.00001933918,0.0025710498],"study_design_scores_gemma":[0.00062058866,0.00010978385,0.8290583,0.000022265005,0.000011710655,0.00017135913,0.0000014923636,0.0048984885,0.16485892,0.000025299023,0.000004203898,0.00021762276],"about_ca_topic_score_codex":0.00002205563,"about_ca_topic_score_gemma":0.00008029381,"teacher_disagreement_score":0.6736797,"about_ca_system_score_codex":0.00004492976,"about_ca_system_score_gemma":0.000022479107,"threshold_uncertainty_score":0.9999991},"labels":[],"label_agreement":null},{"id":"W2015738755","doi":"10.1016/j.brainres.2011.08.070","title":"Input-rate modulation of gamma oscillations is sensitive to network topology, delays and short-term plasticity","year":2011,"lang":"en","type":"article","venue":"Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Australian Research Council","keywords":"Neuroscience; Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Stimulus (psychology); Biological neural network; Physics; Computer science; Neural coding; Topology (electrical circuits); Spike-timing-dependent plasticity; Synaptic plasticity; Biological system; Mathematics; Biology; Psychology","score_opus":0.1556783822373153,"score_gpt":0.3609258383662518,"score_spread":0.2052474561289365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015738755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909462,0.0000017483992,0.004260428,0.0014138644,0.00012431525,0.00039628413,0.00003551966,0.000023023162,0.002798663],"genre_scores_gemma":[0.998496,0.000012449481,0.00030017825,0.0005821698,0.00008642479,0.000013020408,0.000003539629,0.000012175541,0.00049402326],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9982873,0.00043346235,0.00019788615,0.000405248,0.00030442365,0.00037164515],"domain_scores_gemma":[0.9982526,0.001221936,0.00003514868,0.00017792294,0.00018212637,0.00013030134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007737493,0.00009319083,0.00013271873,0.00019646091,0.00028345542,0.00003154365,0.00011565149,0.00008009081,0.000058173315],"category_scores_gemma":[0.0011859598,0.00008646237,0.000028839464,0.00061031606,0.00028838124,0.00011797824,0.00020567354,0.0002215694,0.000022846396],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028023383,0.000066559995,0.010954947,0.000022451566,0.000008869298,0.000027610244,0.0015172005,0.0009448429,0.95363307,0.024178017,0.0027416328,0.005624578],"study_design_scores_gemma":[0.00032658724,0.0008764468,0.7707254,0.00004483086,0.0000073561373,0.000034760807,0.0001381749,0.12402157,0.091696426,0.011285452,0.0005736572,0.0002693017],"about_ca_topic_score_codex":0.00010904512,"about_ca_topic_score_gemma":0.00011338278,"teacher_disagreement_score":0.8619366,"about_ca_system_score_codex":0.000031830434,"about_ca_system_score_gemma":0.000035818513,"threshold_uncertainty_score":0.35258332},"labels":[],"label_agreement":null},{"id":"W2015789200","doi":"10.1016/s0306-4522(02)00316-0","title":"Extracortical descending projections to the rat inferior colliculus","year":2002,"lang":"en","type":"article","venue":"Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Inferior colliculus; Medial geniculate body; Thalamus; Neuroscience; Nucleus; Auditory cortex; Tonotopy; Auditory system; Superior colliculus; Inferior Colliculi; Anatomy; Sensory system; Superior olivary complex; Biology","score_opus":0.07986818592536125,"score_gpt":0.2851311440900987,"score_spread":0.20526295816473744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015789200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97564626,0.000006682026,0.004455959,0.010478561,0.0040822765,0.00075651874,0.00000879134,0.0002276998,0.0043372717],"genre_scores_gemma":[0.9872253,0.000020120446,0.00006169867,0.008839417,0.000106633386,0.00005961879,9.182404e-8,0.000012406912,0.0036746901],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982972,0.00010154533,0.00018435049,0.00057166384,0.000422019,0.00042319507],"domain_scores_gemma":[0.99926186,0.00017333897,0.00004649003,0.00033602217,0.000025715195,0.0001565778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013688311,0.00013009037,0.0000894688,0.000096639946,0.0008983777,0.0002855873,0.00047001184,0.00003004396,0.00007342879],"category_scores_gemma":[0.001672405,0.000087403125,0.000053330565,0.0014846256,0.0002017245,0.00028892132,0.00013968395,0.00022198528,0.00026776304],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005403737,0.000074210446,0.00064734713,0.0000020781756,1.14760816e-7,0.000023218801,0.00010391241,0.00053686264,0.98850805,0.0030710117,0.0025883398,0.004439474],"study_design_scores_gemma":[0.00042878784,0.00089866854,0.03510144,0.000028946386,0.000018051243,0.00081462483,0.000063861415,0.4562026,0.20499024,0.00025147508,0.30051526,0.000686027],"about_ca_topic_score_codex":0.0000067485043,"about_ca_topic_score_gemma":0.000013816549,"teacher_disagreement_score":0.7835178,"about_ca_system_score_codex":0.000041387073,"about_ca_system_score_gemma":0.000017278162,"threshold_uncertainty_score":0.6909685},"labels":[],"label_agreement":null},{"id":"W2015803599","doi":"10.1371/journal.pcbi.1002057","title":"Attracting Dynamics of Frontal Cortex Ensembles during Memory-Guided Decision-Making","year":2011,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft","keywords":"Cognition; Computer science; Attractor; Artificial intelligence; Population; Working memory; Artificial neural network; Machine learning; Neuroscience; Psychology; Pattern recognition (psychology); Mathematics","score_opus":0.057007030869453544,"score_gpt":0.28499369746449704,"score_spread":0.2279866665950435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015803599","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98639244,0.000008073829,0.011156789,0.00004174772,0.0003987719,0.00012840926,0.00004166213,0.000058057398,0.0017740226],"genre_scores_gemma":[0.9928979,0.000003506618,0.006842466,0.00014503875,0.000046736506,0.0000048448114,0.000022470138,0.00001436306,0.000022651118],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988459,0.00008539631,0.000364535,0.0003527967,0.00015397012,0.00019744025],"domain_scores_gemma":[0.99848056,0.0010397114,0.0002469973,0.00011048844,0.00008460634,0.000037632293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008270268,0.00012445847,0.00019303747,0.0001342992,0.00015491754,0.000010613583,0.00017705161,0.00007629812,0.00012580582],"category_scores_gemma":[0.0005555502,0.00011491509,0.000069271635,0.0001456522,0.000113359456,0.00010964349,0.00009978097,0.00012969253,0.000025573327],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037447645,0.00039468537,0.023271259,0.000054803422,0.00004640247,0.000061883926,0.000467553,0.007800913,0.91183954,0.04013398,0.000029140101,0.015525333],"study_design_scores_gemma":[0.000923306,0.00032487398,0.1605053,0.00013279123,0.00003234034,0.00034658285,0.00014888267,0.65771276,0.0521762,0.12724036,0.0000083850255,0.000448255],"about_ca_topic_score_codex":0.000017310143,"about_ca_topic_score_gemma":0.000017852843,"teacher_disagreement_score":0.85966337,"about_ca_system_score_codex":0.000055537595,"about_ca_system_score_gemma":0.000031279353,"threshold_uncertainty_score":0.46861017},"labels":[],"label_agreement":null},{"id":"W2015819818","doi":"10.1017/s0140525x07000982","title":"Corticothalamic necessity, qualia, and consciousness","year":2007,"lang":"en","type":"article","venue":"Behavioral and Brain Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Consciousness; Qualia; Psychology; Electromagnetic theories of consciousness; Attribution; Cognitive science; Cognitive psychology; Level of consciousness; Neuroscience; Social psychology; Developmental psychology","score_opus":0.06888351974708047,"score_gpt":0.34745567299845004,"score_spread":0.2785721532513696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015819818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974011,0.000037995258,0.00011899153,0.0012243618,0.00036511963,0.00011766735,0.000006223277,0.00005296024,0.000675536],"genre_scores_gemma":[0.9979935,0.000019163612,0.00011700504,0.0011704515,0.00003630185,0.000002247197,6.362526e-7,0.000004660012,0.0006559845],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987238,0.000049487167,0.00018026978,0.00045242373,0.00028535663,0.00030862933],"domain_scores_gemma":[0.99941474,0.00029491546,0.00007113555,0.000082004124,0.000016915026,0.00012028637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064725784,0.000115911396,0.00012251356,0.00010267483,0.00052063685,0.00021043835,0.00015123111,0.000041585532,0.000018708442],"category_scores_gemma":[0.00010531278,0.000086385146,0.000021841885,0.0003553802,0.0010891007,0.0003247667,0.00011405699,0.0000911571,0.0000054344705],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017457398,0.00008728177,0.11000669,0.000009644271,4.449397e-7,0.000045974557,0.00023698206,9.746925e-7,0.8085214,0.0089038955,0.00014187818,0.072027415],"study_design_scores_gemma":[0.0011922821,0.0014881814,0.81885415,0.000065069835,0.000036070487,0.00078095443,0.0013549934,0.0026782914,0.15513939,0.014229109,0.0031534566,0.0010280779],"about_ca_topic_score_codex":0.00017965326,"about_ca_topic_score_gemma":0.00026111543,"teacher_disagreement_score":0.70884746,"about_ca_system_score_codex":0.000008393656,"about_ca_system_score_gemma":0.000020771178,"threshold_uncertainty_score":0.40128368},"labels":[],"label_agreement":null},{"id":"W2015992182","doi":"10.1586/erd.10.81","title":"Patch-clamp array neurochips: value in interrogating simple neuronal networks with high resolution","year":2010,"lang":"en","type":"editorial","venue":"Expert Review of Medical Devices","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Simple (philosophy); Patch clamp; Clamp; Computer science; Value (mathematics); High resolution; Neuroscience; Electrophysiology; Biology; Computer vision; Geology; Remote sensing","score_opus":0.014673117538937549,"score_gpt":0.3041533448471892,"score_spread":0.2894802273082516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015992182","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007832106,0.024891263,0.0013593318,0.007126617,0.95638007,0.0015730215,0.00008317523,0.00018584388,0.00056859513],"genre_scores_gemma":[0.025883548,0.23275945,0.0007077944,0.01722869,0.72200745,0.00031410847,0.00074224774,0.00024129084,0.0001154275],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99305755,0.0008773071,0.0012308493,0.0010854575,0.0031981166,0.00055073475],"domain_scores_gemma":[0.9952137,0.0028726135,0.00090986054,0.0005906278,0.0001349619,0.00027823195],"candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0015565025,0.0005271395,0.0011141939,0.00014167887,0.00012281307,0.00006857447,0.0012247639,0.0008672203,0.00029936316],"category_scores_gemma":[0.010286535,0.0003702552,0.00020461986,0.00057121605,0.00031140857,0.00022211185,0.00025738135,0.0033197328,0.00001104893],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024987294,0.00048554703,0.000059171798,0.012402983,0.000031472915,0.00029988718,0.00022996332,0.00014478405,0.004183997,0.0007231899,0.94459003,0.03659913],"study_design_scores_gemma":[0.0006226703,0.00046421107,0.000050568837,0.028283244,0.00003724092,0.000024067784,0.000019585003,0.008271112,0.00029493144,0.00008378338,0.9613412,0.0005074021],"about_ca_topic_score_codex":0.0007226097,"about_ca_topic_score_gemma":0.0011300265,"teacher_disagreement_score":0.2343726,"about_ca_system_score_codex":0.00006328864,"about_ca_system_score_gemma":0.00035293057,"threshold_uncertainty_score":0.99987495},"labels":[],"label_agreement":null},{"id":"W2016022280","doi":"10.1103/physreve.79.011902","title":"<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:mn>1</mml:mn><mml:mo>∕</mml:mo><mml:msup><mml:mi>f</mml:mi><mml:mi>α</mml:mi></mml:msup></mml:mrow></mml:math>noise in reaction times: A proposed model based on Piéron’s law and information processing","year":2009,"lang":"lv","type":"article","venue":"Physical Review E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Universidad de Granada; University of Toronto","keywords":"Algorithm; Brownian motion; Noise (video); Artificial intelligence; Power function; Computer science; Physics; Mathematics; Mathematical analysis; Quantum mechanics","score_opus":0.017577094761700933,"score_gpt":0.25371594317344176,"score_spread":0.23613884841174082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016022280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87875205,0.0014674063,0.0015742488,0.0026655449,0.0013342091,0.00020377562,0.00031803836,0.00032211217,0.113362625],"genre_scores_gemma":[0.9868558,0.0033520875,0.0008376041,0.005991573,0.0009723897,0.0007350353,0.000839742,0.0003280763,0.00008771634],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9922647,0.00043311756,0.0017479112,0.0016222631,0.0022593802,0.0016726292],"domain_scores_gemma":[0.9947585,0.0009429872,0.0018969572,0.0014575539,0.00018527872,0.0007587312],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014036293,0.000850651,0.00045372636,0.00037208002,0.0013160342,0.0013081627,0.0011288167,0.0010231594,0.003843579],"category_scores_gemma":[0.0018547132,0.0013166188,0.0011661538,0.0013364382,0.00092184596,0.0032175516,0.00068617484,0.0016867353,0.0011008233],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012194487,0.00068235386,0.0000022492711,0.00378064,0.00016612677,0.00031182624,0.00086257997,0.0034889877,0.012275654,0.95111364,0.013356215,0.012740264],"study_design_scores_gemma":[0.0012401312,0.0017443299,0.00004632481,0.0034182149,0.00070912467,0.00036623143,0.00019486978,0.6878348,0.30003166,0.00085705327,0.0025334542,0.0010238233],"about_ca_topic_score_codex":0.0004564759,"about_ca_topic_score_gemma":0.00021529263,"teacher_disagreement_score":0.9502566,"about_ca_system_score_codex":0.00003619383,"about_ca_system_score_gemma":0.0010162859,"threshold_uncertainty_score":0.99998415},"labels":[],"label_agreement":null},{"id":"W2016086898","doi":"10.1038/nn.3851","title":"Nonlinear dendritic integration of electrical and chemical synaptic inputs drives fine-scale correlations","year":2014,"lang":"en","type":"article","venue":"Nature Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":89,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Canadian Institutes of Health Research; National Eye Institute; Howard Hughes Medical Institute","keywords":"Neuroscience; Electrical Synapses; Neural coding; Retinal waves; Millisecond; Biological system; Biology; Neurotransmission; Context (archaeology); Retina; Gap junction; Computer science; Retinal ganglion cell; Physics; Intrinsically photosensitive retinal ganglion cells; Receptor; Intracellular","score_opus":0.009439095689441783,"score_gpt":0.24853233917397238,"score_spread":0.2390932434845306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016086898","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914792,0.000017789675,0.0063603707,0.00081223674,0.0006528054,0.00014545044,0.000008550033,0.000057005687,0.000466579],"genre_scores_gemma":[0.99767095,0.000015797377,0.0006473476,0.0014811398,0.00006549712,0.000004927227,0.0000024960916,0.00000926393,0.000102596336],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986334,0.00008942925,0.00021155979,0.00049821957,0.0003449484,0.00022244899],"domain_scores_gemma":[0.9990918,0.00047027317,0.0000965019,0.00019184175,0.000055917317,0.000093648996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012500377,0.00012910462,0.000150629,0.00012712667,0.00014225805,0.000053350104,0.00023155741,0.00015399243,0.0000030467938],"category_scores_gemma":[0.0033879282,0.00010791657,0.000043363318,0.0006922478,0.0003341491,0.00023542403,0.000072382856,0.0005777061,0.0000039036227],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000107899,0.000056052202,0.00040957023,0.0000058062737,2.123668e-7,0.0000017286718,0.000022381064,0.00002938275,0.99181604,0.0055923196,0.000046759065,0.002008979],"study_design_scores_gemma":[0.00021676923,0.0002602863,0.0059540877,0.000020854064,0.000010367967,0.0000961179,0.0000019740328,0.4101203,0.5814544,0.0012073241,0.00051141775,0.00014608173],"about_ca_topic_score_codex":0.0000014819869,"about_ca_topic_score_gemma":0.000004164047,"teacher_disagreement_score":0.4103616,"about_ca_system_score_codex":0.000016227588,"about_ca_system_score_gemma":0.000025381058,"threshold_uncertainty_score":0.440071},"labels":[],"label_agreement":null},{"id":"W2016257186","doi":"10.1121/1.3443568","title":"A proposed neural mechanism underlying auditory continuity illusions","year":2010,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Illusion; Tonotopy; Stimulus (psychology); Auditory cortex; Computer science; Feed forward; Psychology; Neuroscience; Acoustics; Cognitive psychology; Physics","score_opus":0.02403421899870823,"score_gpt":0.26656487846972476,"score_spread":0.24253065947101654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016257186","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90233487,0.000009760142,0.07899922,0.014806831,0.0033200262,0.00027575775,0.000011760741,0.000025662606,0.00021609817],"genre_scores_gemma":[0.9933838,0.000043733897,0.002994189,0.003133253,0.00026325652,4.8261205e-7,6.885173e-8,0.00001252667,0.00016864468],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985824,0.00020242327,0.00033727908,0.00010853434,0.0005463022,0.00022305771],"domain_scores_gemma":[0.99805844,0.0009126709,0.00054092694,0.0002791825,0.00012196804,0.00008679003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050776615,0.000116722855,0.0002175579,0.000014100983,0.00044456587,0.00002527531,0.00069599034,0.00006660897,0.000052758467],"category_scores_gemma":[0.0009405499,0.00005602808,0.00037938706,0.000245152,0.00080935925,0.000103435836,0.0002335791,0.0009923697,0.0000033091153],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004685131,0.000072143426,0.0000066407115,0.000007909794,0.000011911119,0.0000010688614,0.00022724317,0.0004907506,0.9923206,0.00015794508,0.0023469569,0.004310009],"study_design_scores_gemma":[0.0010707651,0.0009256739,0.003248443,0.000069153095,0.00036477795,0.00054401695,0.0015816552,0.85897034,0.10542493,0.024352953,0.003114818,0.00033247456],"about_ca_topic_score_codex":0.000016504744,"about_ca_topic_score_gemma":0.0000013371839,"teacher_disagreement_score":0.88689566,"about_ca_system_score_codex":0.00002886249,"about_ca_system_score_gemma":0.000077333985,"threshold_uncertainty_score":0.4311408},"labels":[],"label_agreement":null},{"id":"W2016708835","doi":"10.1126/science.1225266","title":"A Large-Scale Model of the Functioning Brain","year":2012,"lang":"en","type":"article","venue":"Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":963,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Neuroanatomy; Neurophysiology; Neuroscience; Cognitive science; Computer science; Scale (ratio); Brain function; Cognition; Psychology; Artificial intelligence; Cognitive psychology; Physics","score_opus":0.033831207933050084,"score_gpt":0.2603107241630193,"score_spread":0.22647951622996923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016708835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9875974,0.00000709859,0.0061878213,0.00074471853,0.0008562829,0.000077837656,0.0000053128097,0.000021406806,0.004502092],"genre_scores_gemma":[0.9968405,0.0000010116763,0.00015319952,0.0013119585,0.000034166045,0.0000028786683,6.023185e-8,0.0000034318484,0.0016527942],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99905074,0.000026283771,0.000089240886,0.00017614795,0.00036685375,0.0002907175],"domain_scores_gemma":[0.999566,0.00005893469,0.000059485228,0.00023134412,0.00002693051,0.00005731539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056979794,0.000048351816,0.00004633629,0.000044052453,0.0003911777,0.000026508129,0.0003217395,0.000014991941,0.000016528138],"category_scores_gemma":[0.0005070933,0.00003059163,0.000035281115,0.000726067,0.00033659063,0.0004614284,0.00015436998,0.000078858815,0.000015016338],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000021065375,0.000025488042,0.0019694755,0.0000018929435,9.646154e-8,2.2896092e-8,0.00033162112,0.0013648644,0.9869756,0.008890387,0.00009011122,0.00034829578],"study_design_scores_gemma":[0.000119334734,0.000022607484,0.0143797,0.000009623269,0.0000026596208,0.000008425758,0.00011183017,0.5143149,0.46712947,0.0024645184,0.001345022,0.00009193788],"about_ca_topic_score_codex":0.0000016500968,"about_ca_topic_score_gemma":0.00000292514,"teacher_disagreement_score":0.5198462,"about_ca_system_score_codex":0.000023013083,"about_ca_system_score_gemma":0.00005325378,"threshold_uncertainty_score":0.30086622},"labels":[],"label_agreement":null},{"id":"W2016778020","doi":"10.1037/a0029023","title":"Isolating exogenous and endogenous modes of temporal attention.","year":2012,"lang":"en","type":"article","venue":"Journal of Experimental Psychology General","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Dalhousie University","keywords":"Psychology; Stimulus (psychology); Contingency; Salient; Cognitive psychology; Endogeny; Context (archaeology); Neuroscience; Computer science; Artificial intelligence","score_opus":0.0852855599205535,"score_gpt":0.3413402714350538,"score_spread":0.2560547115145003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016778020","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958375,0.0012328186,0.0002815184,0.00009198221,0.0009692155,0.00007118015,0.0000037881443,0.0000064409564,0.0015055262],"genre_scores_gemma":[0.99720776,0.000051612453,0.0017863977,0.0005309662,0.00034299147,0.0000016384769,7.2665017e-7,0.000013173695,0.00006472345],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989353,0.00013847166,0.00040419892,0.00013327622,0.00016103631,0.00022773215],"domain_scores_gemma":[0.9993445,0.00004357932,0.00037705858,0.000099945115,0.000029313387,0.00010556828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024255755,0.00011018686,0.00020354932,0.00011017102,0.00010957676,0.000012659445,0.00011389661,0.000059308593,0.000042360673],"category_scores_gemma":[0.00003429755,0.00009093011,0.00009639491,0.000083605,0.0001240846,0.00027909802,0.00004091595,0.000169375,0.0000028502418],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011953822,0.00031302232,0.009649149,0.0000030807716,0.000010630031,0.000014328286,0.00029642473,0.000012848187,0.98826516,0.000572765,0.00010368002,0.0006393882],"study_design_scores_gemma":[0.0010602112,0.0009881475,0.0054911035,0.000010365751,0.00001356377,0.0036661585,0.00024770657,0.0004299818,0.98760384,0.00019890151,0.00016569527,0.00012431137],"about_ca_topic_score_codex":0.000006338019,"about_ca_topic_score_gemma":2.5103282e-7,"teacher_disagreement_score":0.004158046,"about_ca_system_score_codex":0.000023107259,"about_ca_system_score_gemma":0.000009787106,"threshold_uncertainty_score":0.37080222},"labels":[],"label_agreement":null},{"id":"W2017159781","doi":"10.1016/j.brainres.2014.10.054","title":"Modulation of functional connectivity following visual adaptation: Homeostasis in V1","year":2014,"lang":"en","type":"article","venue":"Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Neuroscience; Visual cortex; Adaptation (eye); Stimulus (psychology); Sensory system; Cortical neurons; Adaptability; Biology; Correlation; Psychology; Cognitive psychology","score_opus":0.13566518693310953,"score_gpt":0.3764052278054776,"score_spread":0.24074004087236806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017159781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98896784,0.0000067744286,0.007117332,0.0020994642,0.00024514558,0.00023323434,0.00000387846,0.000023542496,0.0013027773],"genre_scores_gemma":[0.9992904,0.0000034835796,0.000056182264,0.00014492363,0.00008067184,0.000024298026,0.000007962504,0.000012095527,0.00037999797],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99755716,0.00079897227,0.00018908337,0.00036518567,0.00080589304,0.00028369104],"domain_scores_gemma":[0.99684316,0.0028005803,0.000049900114,0.00015773675,0.000093678056,0.000054929656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021248232,0.00007805377,0.00013388995,0.00040117,0.00016567958,0.000041226627,0.000113413866,0.000063692256,0.000051164265],"category_scores_gemma":[0.0050561354,0.00007663105,0.00006532373,0.0009817937,0.00009422669,0.00024594602,0.00007495386,0.00026037553,0.00002931778],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018279669,0.00019373393,0.004763284,0.000033373926,0.0000042100437,0.000008092617,0.00018694124,0.009045771,0.89291126,0.022592371,0.0005068738,0.06957132],"study_design_scores_gemma":[0.0009367985,0.0003653058,0.22083345,0.000030850242,0.0000017448092,0.0000042279644,0.00014402761,0.74355656,0.023886735,0.008953749,0.0011451885,0.00014137136],"about_ca_topic_score_codex":0.00009704051,"about_ca_topic_score_gemma":0.00011349458,"teacher_disagreement_score":0.8690245,"about_ca_system_score_codex":0.00007514166,"about_ca_system_score_gemma":0.000060433627,"threshold_uncertainty_score":0.60530317},"labels":[],"label_agreement":null},{"id":"W2017169659","doi":"10.55782/ane-2000-1343","title":"Integration of low-frequency sleep oscillations in corticothalamic networks","year":2000,"lang":"en","type":"review","venue":"Acta Neurobiologiae Experimentalis","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Medical Research Council; Medical Research Council Canada","keywords":"Synchronizing; Neuroscience; Oscillation (cell signaling); Electroencephalography; Sleep (system call); Sleep spindle; Rhythm; Delta wave; Local field potential; Slow-wave sleep; Thalamus; Physics; Biology; Computer science; Acoustics; Telecommunications","score_opus":0.04992478888191952,"score_gpt":0.31712420170212524,"score_spread":0.2671994128202057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017169659","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.054745167,0.93358314,0.000056059573,0.00006017094,0.0034636268,0.0033184888,0.00044620835,0.00027488344,0.004052284],"genre_scores_gemma":[0.13322394,0.8658496,0.000027565753,0.00017253036,0.00007601659,0.00013471014,0.00035264762,0.000057232854,0.000105730025],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99686944,0.00059119065,0.0010861485,0.0008706376,0.00017261274,0.00040995702],"domain_scores_gemma":[0.99827176,0.00049862795,0.000578155,0.00056685414,0.000017418868,0.00006719715],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000108423264,0.0005197524,0.0011149857,0.00037314737,0.00009524634,0.000052056377,0.0005409132,0.0003433016,0.0002313383],"category_scores_gemma":[0.00020826186,0.00041568573,0.0003858491,0.00086693594,0.00022210191,0.00022263732,0.000121390796,0.0005583811,0.000028407521],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046711026,0.0007867827,0.000044580156,0.0012588251,0.00003755691,0.000101007216,0.00014924143,0.00027249753,0.37442252,0.0014807588,0.0005376972,0.6208618],"study_design_scores_gemma":[0.0053774994,0.0061262148,0.0010231244,0.041105893,0.0014107252,0.002258309,0.0002796142,0.027272891,0.122964814,0.0012637668,0.778647,0.012270156],"about_ca_topic_score_codex":0.00005906595,"about_ca_topic_score_gemma":0.00001625592,"teacher_disagreement_score":0.7781093,"about_ca_system_score_codex":0.00017871136,"about_ca_system_score_gemma":0.000061345476,"threshold_uncertainty_score":0.9998295},"labels":[],"label_agreement":null},{"id":"W2017227000","doi":"10.1016/j.neuron.2014.12.043","title":"A Sensorimotor Role for Traveling Waves in Primate Visual Cortex","year":2015,"lang":"en","type":"article","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":159,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Macaque; Saccadic masking; Saccade; Primate; Stimulus (psychology); Traveling wave; Sensory system; Foveal; Eye movement; Psychology; Physics; Biology; Cognitive psychology; Retinal","score_opus":0.04013658294899026,"score_gpt":0.2984295075640616,"score_spread":0.25829292461507136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017227000","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975887,0.0000061984238,0.00019604406,0.00024392798,0.00065840414,0.00034316728,0.000010162956,0.00006273097,0.0008906682],"genre_scores_gemma":[0.99850935,0.0000061859614,0.000094254276,0.000778508,0.00011045076,0.000020841195,0.0000031135646,0.000022124395,0.0004551554],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990557,0.000053295844,0.00016123951,0.00032777092,0.0001609326,0.00024109535],"domain_scores_gemma":[0.9996166,0.00012715421,0.00005179158,0.00010333216,0.000022860355,0.000078260935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011417411,0.00010179849,0.00011339117,0.000056285502,0.00004702831,0.00004457922,0.00008777462,0.000039431376,0.0000036520878],"category_scores_gemma":[0.00036803962,0.0000940402,0.00003926839,0.00013172458,0.000022816746,0.0001229839,0.00002859518,0.00010320868,0.00002319612],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013716436,0.000064651766,0.0003268859,0.000011054861,3.9652804e-7,0.00001463345,0.000103310675,0.00016710955,0.9931162,0.0004875112,0.000094059156,0.005477052],"study_design_scores_gemma":[0.0026815834,0.0015503063,0.023304306,0.000027684418,0.000012008311,0.000060669783,0.00013040018,0.5853602,0.36965397,0.0032057185,0.013569329,0.0004437983],"about_ca_topic_score_codex":0.00001352002,"about_ca_topic_score_gemma":0.000008397103,"teacher_disagreement_score":0.6234622,"about_ca_system_score_codex":0.00003343102,"about_ca_system_score_gemma":0.000028680295,"threshold_uncertainty_score":0.3834848},"labels":[],"label_agreement":null},{"id":"W2017375551","doi":"10.3389/fnsys.2011.00074","title":"Minimal Impairment in a Rat Model of Duration Discrimination Following Excitotoxic Lesions of Primary Auditory and Prefrontal Cortices","year":2011,"lang":"en","type":"article","venue":"Frontiers in Systems Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Addiction and Mental Health","funders":"Princeton University; Directorate for Biological Sciences; Howard Hughes Medical Institute","keywords":"Neuroscience; Duration (music); Psychology; Audiology; Medicine; Physics","score_opus":0.04408827627200741,"score_gpt":0.23740017989412734,"score_spread":0.19331190362211992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017375551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9890753,0.000058069327,0.0069215917,0.000012155115,0.0031331996,0.00054213667,0.000011792908,0.000014349421,0.00023143015],"genre_scores_gemma":[0.99917436,0.000057260833,0.00056895707,0.000029782845,0.000014441877,0.000040809926,9.668327e-7,0.000009590897,0.00010385913],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99821264,0.00016810768,0.00056570995,0.00045065914,0.00038340286,0.00021950605],"domain_scores_gemma":[0.9993642,0.00006073134,0.0003278541,0.00017625582,0.000018695082,0.00005228498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034210534,0.00013111164,0.0002720516,0.00032472226,0.000069971335,0.000022119839,0.0002139328,0.000055106048,3.3204947e-7],"category_scores_gemma":[0.00024991666,0.00012018197,0.000047195328,0.00038588792,0.00021575709,0.0006977201,0.00008414193,0.00010213669,1.3405614e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000071681265,0.00016035329,0.022007182,0.00013641366,4.4038876e-7,0.0000097727325,0.001117511,0.0012441033,0.9747497,0.00020215017,0.000036295085,0.00026441575],"study_design_scores_gemma":[0.000780164,0.0005227821,0.20900565,0.00029593392,0.000012636326,0.000014307209,0.0008046664,0.7161328,0.07188892,0.00030232515,0.0000068469362,0.00023295787],"about_ca_topic_score_codex":0.00006830927,"about_ca_topic_score_gemma":0.000027702588,"teacher_disagreement_score":0.90286076,"about_ca_system_score_codex":0.00009795988,"about_ca_system_score_gemma":0.00008362719,"threshold_uncertainty_score":0.49008784},"labels":[],"label_agreement":null},{"id":"W2017427792","doi":"10.1371/journal.pcbi.1003021","title":"Trading Speed and Accuracy by Coding Time: A Coupled-circuit Cortical Model","year":2013,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Coding (social sciences); Time perception; ENCODE; Biological neural network; Artificial intelligence; Perception; Machine learning; Neuroscience; Mathematics","score_opus":0.04853794868027057,"score_gpt":0.26326486284610007,"score_spread":0.2147269141658295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017427792","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9806187,0.000011649838,0.017503848,0.0009855545,0.000068868634,0.00022489147,0.000041447725,0.000070161106,0.00047487282],"genre_scores_gemma":[0.99768645,0.0000073892375,0.00038320763,0.0016605486,0.000035027835,0.00001005754,0.00006485957,0.000010468912,0.00014197057],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990898,0.00007091934,0.0001906054,0.00033674776,0.00010838223,0.00020358051],"domain_scores_gemma":[0.99845916,0.0012881188,0.000069194095,0.00005778393,0.000043291315,0.000082458246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005718055,0.00010844991,0.00014264324,0.000052253352,0.00016785435,0.000060045873,0.00009341953,0.00006248486,0.00016096004],"category_scores_gemma":[0.00044838703,0.00009598549,0.000026138967,0.00009258757,0.00013669393,0.00016161043,0.000045535857,0.00014482284,0.00017569575],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008704493,0.00005409284,0.00025499347,0.0000055946707,0.0000056608715,0.0000012545546,0.00002933224,0.0026853378,0.9795616,0.015937272,0.0007452292,0.0007109019],"study_design_scores_gemma":[0.00023920987,0.00006705993,0.0005531141,0.0000046022856,0.0000058397395,0.00002494711,0.000002822904,0.96070915,0.0021471092,0.03611222,0.00002407563,0.00010985214],"about_ca_topic_score_codex":0.000005658583,"about_ca_topic_score_gemma":1.2161786e-7,"teacher_disagreement_score":0.9774145,"about_ca_system_score_codex":0.000023250286,"about_ca_system_score_gemma":0.000021534843,"threshold_uncertainty_score":0.39141744},"labels":[],"label_agreement":null},{"id":"W2017427824","doi":"10.1017/s0140525x02420110","title":"Contribution of plasticity of sensorimotor cerebral cortex to development of communication skills","year":2002,"lang":"en","type":"article","venue":"Behavioral and Brain Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Neuroplasticity; Neuroscience; Neural substrate; Sensorimotor cortex; Psychology; Plasticity; Cerebral cortex; Cortex (anatomy); Developmental plasticity; Structural plasticity; Cognitive science; Biology; Cognition; Physics","score_opus":0.0524116261631229,"score_gpt":0.3011779103392069,"score_spread":0.24876628417608398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017427824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99916977,0.00000984502,0.00021955825,0.00022440507,0.000067689565,0.0001735378,0.000024282734,0.000008493552,0.00010241455],"genre_scores_gemma":[0.9983306,0.0000065067293,0.0015126464,0.00006579637,0.0000047964377,0.0000038296416,0.0000014013275,0.0000020897112,0.00007233649],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990103,0.00006351803,0.00031695713,0.00019318704,0.00028822897,0.0001277993],"domain_scores_gemma":[0.9993909,0.00019833373,0.000191227,0.000088352506,0.000081501494,0.00004966639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002451174,0.00007216089,0.0001592326,0.000091218964,0.00014612665,0.000013366313,0.00017690808,0.00003213129,0.00003438913],"category_scores_gemma":[0.0002334333,0.00005647296,0.000027241567,0.0003573663,0.00040677693,0.0001298995,0.00008098098,0.000042800322,0.0000018090695],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011733644,0.00023698475,0.010736777,0.000007289625,6.214777e-7,2.5391628e-7,0.0004571569,0.000018275497,0.9763341,0.0009075198,0.00003930119,0.011249992],"study_design_scores_gemma":[0.00030749367,0.0005481922,0.25372255,0.000056979992,0.0000082846045,0.000005278144,0.00010344637,0.002470458,0.7422987,0.00017687384,0.00018493677,0.000116806186],"about_ca_topic_score_codex":0.00003878118,"about_ca_topic_score_gemma":0.00002900582,"teacher_disagreement_score":0.24298577,"about_ca_system_score_codex":0.000011154938,"about_ca_system_score_gemma":0.000019874702,"threshold_uncertainty_score":0.23029004},"labels":[],"label_agreement":null},{"id":"W2017442812","doi":"10.1016/j.neulet.2006.09.091","title":"Is there a tipping point in neuronal ensembles during learning?","year":2007,"lang":"en","type":"article","venue":"Neuroscience Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Movement Disorders","funders":"","keywords":"Neuroscience; Task (project management); Striatum; Spike (software development); Premovement neuronal activity; Tipping point (physics); Computer science; Psychology; Artificial intelligence","score_opus":0.022918816377986862,"score_gpt":0.2502135163458354,"score_spread":0.2272946999678485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017442812","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911001,0.0000040480177,0.00057110644,0.006644525,0.0007729852,0.00016301368,0.0000016845969,0.00012105719,0.0006215241],"genre_scores_gemma":[0.9684474,0.000016565955,0.000024997691,0.031098511,0.000085953194,0.0000044802746,2.5114355e-7,0.000023453073,0.00029841444],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975649,0.00011093044,0.00029282697,0.00080792187,0.0005157058,0.00070773135],"domain_scores_gemma":[0.99933356,0.00020422939,0.000113967915,0.00022486332,0.000010892888,0.00011245881],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036280596,0.00019596185,0.0001422768,0.00029627548,0.00034150598,0.00013993098,0.00038642884,0.000044556677,0.000026168393],"category_scores_gemma":[0.0005001333,0.00018494712,0.000076853066,0.0008812951,0.00021385818,0.00044937048,0.0001293535,0.00053006684,0.000035119396],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029334515,0.000028149965,0.020365935,0.00000930683,1.3875875e-7,0.00026857617,0.00015856822,0.000859039,0.9775459,0.00011523151,0.00005514903,0.0005646482],"study_design_scores_gemma":[0.00044965703,0.00011241359,0.43662128,0.000033608696,0.0000020378707,0.00016860949,0.000043536937,0.0063095125,0.5535652,0.00008260752,0.002294666,0.00031689715],"about_ca_topic_score_codex":0.000023553763,"about_ca_topic_score_gemma":0.000012395354,"teacher_disagreement_score":0.42398074,"about_ca_system_score_codex":0.00006518927,"about_ca_system_score_gemma":0.000015808251,"threshold_uncertainty_score":0.7541924},"labels":[],"label_agreement":null},{"id":"W2017544235","doi":"10.1016/j.mbs.2008.01.008","title":"Neural dynamics of envelope coding","year":2008,"lang":"en","type":"article","venue":"Mathematical Biosciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; General Dynamics (Canada)","funders":"","keywords":"Narrowband; Computer science; Noise (video); Electronic engineering; Artificial intelligence; Telecommunications; Engineering","score_opus":0.055954172260880564,"score_gpt":0.2657840233981281,"score_spread":0.20982985113724756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017544235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9800271,0.0000034771654,0.004015022,0.000898841,0.0002627348,0.00011744212,0.000009727817,0.000058206166,0.014607459],"genre_scores_gemma":[0.99827063,0.000016404108,0.00088080816,0.00024371488,0.00001764322,0.0000034393297,6.2216805e-7,0.00000540956,0.0005612987],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987926,0.00004186603,0.0002606872,0.00027114144,0.000407434,0.00022626432],"domain_scores_gemma":[0.99930704,0.00034503048,0.00009710108,0.00015482777,0.000023517485,0.00007246604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016698086,0.00009919039,0.00016778792,0.00007975701,0.00022174955,0.000025262036,0.0003196779,0.000035537403,0.000094591174],"category_scores_gemma":[0.00079551677,0.00006941141,0.000061193394,0.00048723063,0.00070746616,0.00018214827,0.00008395871,0.00008192376,0.00004920607],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001437646,0.0002299355,0.0011761878,0.0000784522,0.0000017645766,0.00003616297,0.00037503088,0.000043929092,0.524765,0.468389,0.000107207736,0.0047829226],"study_design_scores_gemma":[0.00029482492,0.00036601248,0.003736196,0.000054603122,0.000009908822,0.00043556906,0.00019626971,0.6435502,0.2823577,0.06843325,0.00016514555,0.0004003379],"about_ca_topic_score_codex":0.0000030947526,"about_ca_topic_score_gemma":0.0000017226853,"teacher_disagreement_score":0.6435063,"about_ca_system_score_codex":0.000018069117,"about_ca_system_score_gemma":0.000023934248,"threshold_uncertainty_score":0.28305152},"labels":[],"label_agreement":null},{"id":"W2017602373","doi":"10.1523/jneurosci.2700-14.2015","title":"Mapping of Functionally Characterized Cell Classes onto Canonical Circuit Operations in Primate Prefrontal Cortex","year":2015,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":117,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Ministero dello Sviluppo Economico; Ontario Ministry of Economic Development and Innovation","keywords":"Neuroscience; Macaque; Prefrontal cortex; Local field potential; Pyramidal cell; Nerve net; Neocortex; Computer science; Biology; Cognition; Hippocampus","score_opus":0.06956180504761966,"score_gpt":0.2801940588458282,"score_spread":0.21063225379820855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017602373","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955345,0.000013334134,0.0012867978,0.0005139107,0.0016134701,0.0001402462,0.000011972151,0.00000988978,0.0008758799],"genre_scores_gemma":[0.9984919,0.000042544427,0.00017219219,0.00079380855,0.0000737489,0.0000026715966,5.8720326e-7,0.000009654381,0.0004129178],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9979817,0.00014925958,0.0006618061,0.0002770344,0.000688027,0.0002421512],"domain_scores_gemma":[0.9989447,0.0001197942,0.00038688374,0.00019763419,0.00017368926,0.0001772883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047243116,0.00012392446,0.00025852976,0.0002460108,0.000085505584,0.00008885957,0.0005249414,0.00004392858,0.000011502054],"category_scores_gemma":[0.001213388,0.00010293414,0.00008580692,0.00050161296,0.00016091872,0.00084175327,0.00011036401,0.00029778524,0.0000045229376],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006667438,0.00019408867,0.0016248705,0.000008919533,4.3774898e-7,0.0000526668,0.00012434607,0.000947622,0.9965017,0.0002755038,0.00004996987,0.00015320585],"study_design_scores_gemma":[0.003500309,0.0023237374,0.7855723,0.0001490787,0.000018559951,0.0015046279,0.00025017353,0.034591578,0.16611418,0.00077202806,0.00473096,0.00047247548],"about_ca_topic_score_codex":0.000019309078,"about_ca_topic_score_gemma":0.000028070232,"teacher_disagreement_score":0.83038753,"about_ca_system_score_codex":0.00012549022,"about_ca_system_score_gemma":0.0005816737,"threshold_uncertainty_score":0.41975322},"labels":[],"label_agreement":null},{"id":"W2017836845","doi":"10.1016/j.biopsych.2008.05.015","title":"The Dual-State Theory of Prefrontal Cortex Dopamine Function with Relevance to Catechol-O-Methyltransferase Genotypes and Schizophrenia","year":2008,"lang":"en","type":"review","venue":"Biological Psychiatry","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":591,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Neuroscience; Prefrontal cortex; Schizophrenia (object-oriented programming); Dopamine; Cognition; Psychology; Dopamine receptor D2; Mechanism (biology); Catechol-O-methyl transferase; Biology; Physics; Psychiatry; Genotype","score_opus":0.034451665140264695,"score_gpt":0.27034062071373105,"score_spread":0.23588895557346634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017836845","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025105001,0.97091275,0.00078387593,0.00011591554,0.0012889304,0.0012863212,0.00018918091,0.000102283724,0.00021571634],"genre_scores_gemma":[0.006843001,0.99203974,0.00027263662,0.0002296524,0.00015769989,0.000083337516,0.000023990557,0.000035436096,0.00031448176],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976195,0.00043655664,0.00057729933,0.00081815367,0.00021730181,0.00033116472],"domain_scores_gemma":[0.99837416,0.00075995165,0.00029682627,0.00040658933,0.00003628454,0.00012619927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002451437,0.00043437193,0.0007490292,0.000086753134,0.00034232097,0.00003873743,0.00027769414,0.00022419964,0.000009885062],"category_scores_gemma":[0.00024045905,0.00020431289,0.00018848237,0.00041767303,0.00044834797,0.00005799872,0.00008020808,0.00049387076,0.000024102412],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016406957,0.00012111858,0.00003079179,0.0005963759,0.000047737456,0.000013055508,0.000009486523,0.0000020814334,0.0033054908,0.0058615166,0.00015719715,0.98821443],"study_design_scores_gemma":[0.00092137844,0.004983187,0.004405277,0.0017791614,0.00025232983,0.0006458693,0.000019808724,0.000010729082,0.00008971333,0.0071278713,0.9787161,0.0010485774],"about_ca_topic_score_codex":0.0000057891666,"about_ca_topic_score_gemma":0.000027250162,"teacher_disagreement_score":0.98716587,"about_ca_system_score_codex":0.000028887549,"about_ca_system_score_gemma":0.00010500679,"threshold_uncertainty_score":0.8331638},"labels":[],"label_agreement":null},{"id":"W2017891448","doi":"10.1016/j.neuroimage.2008.04.176","title":"MEG imaging of sensorimotor areas using inter-trial coherence in vibrotactile steady-state responses","year":2008,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"National Institute of Mental Health; Health Canada; National Institutes of Health","keywords":"Somatosensory system; Neuroscience; Coherence (philosophical gambling strategy); Primary motor cortex; Brainstem; Motor cortex; Brain activity and meditation; Stimulus (psychology); Magnetoencephalography; Psychology; Supplementary motor area; Electroencephalography; Stimulation; Physics; Functional magnetic resonance imaging; Cognitive psychology","score_opus":0.06464959957863886,"score_gpt":0.2953259002821914,"score_spread":0.23067630070355255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017891448","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972534,0.0000063751104,0.00024268501,0.00009009696,0.0007553273,0.00044266426,0.000038523638,0.00006239477,0.0011085001],"genre_scores_gemma":[0.99887836,0.000015896765,0.00013309467,0.00032360206,0.000058110523,0.000007730857,0.000001030072,0.000029407738,0.00055277755],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99814147,0.00035487005,0.00039061575,0.0005031749,0.0002979236,0.00031194394],"domain_scores_gemma":[0.99886316,0.0004845179,0.0002025328,0.00033555215,0.000046552956,0.00006771157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001454357,0.00017947676,0.00024083357,0.00022963092,0.00011396625,0.000038656264,0.00021997133,0.000029559194,0.000037177328],"category_scores_gemma":[0.0009717213,0.00017553699,0.000081499136,0.00040680636,0.00020695582,0.00038829847,0.00011612103,0.00027119656,0.000015157246],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004208361,0.00010815709,0.0050032036,0.000014468017,8.918302e-7,0.00050702476,0.00012180978,0.00009791083,0.9891694,0.000015056371,0.0000746333,0.00067909225],"study_design_scores_gemma":[0.01468014,0.00081502285,0.049720746,0.00014094092,0.00001651446,0.0008828537,0.00006999605,0.06488224,0.86672264,0.00035967762,0.0010478391,0.0006614115],"about_ca_topic_score_codex":0.00016134462,"about_ca_topic_score_gemma":0.000010224877,"teacher_disagreement_score":0.122446775,"about_ca_system_score_codex":0.00004802104,"about_ca_system_score_gemma":0.00007216875,"threshold_uncertainty_score":0.71581906},"labels":[],"label_agreement":null},{"id":"W2017898896","doi":"10.1016/s0378-5955(99)00176-8","title":"Responses of cells to stationary and moving sound stimuli in the anterior ectosylvian cortex of cats","year":2000,"lang":"en","type":"article","venue":"Hearing Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Acoustics; Horizontal plane; Anechoic chamber; Azimuth; Physics; Receptive field; Loudspeaker; Anatomy; Optics; Neuroscience; Geology; Biology; Geodesy","score_opus":0.14090582526897374,"score_gpt":0.3994860230642045,"score_spread":0.2585801977952308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017898896","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988123,0.000019927038,0.000007146265,0.00037634445,0.000022465383,0.0002365668,0.0000115404355,0.000004582901,0.00050908286],"genre_scores_gemma":[0.9991295,0.000059700866,0.000053307034,0.00011733623,0.000009843842,0.0000073856386,3.4541847e-7,0.0000061831315,0.0006163995],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99872607,0.00033512132,0.00016057216,0.00019597693,0.0003874498,0.00019480819],"domain_scores_gemma":[0.998419,0.0013263035,0.000018891798,0.0001649085,0.000039312312,0.00003158094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008785101,0.000045428227,0.0000863525,0.00020344103,0.0001032612,0.00003405443,0.00014262038,0.000020845402,0.000049139115],"category_scores_gemma":[0.00041950453,0.000034975666,0.000013865954,0.0004631947,0.00012875542,0.00006957797,0.00006155791,0.00016918649,0.00000829146],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027900288,0.000051247942,0.0062790336,0.00004090163,5.760295e-7,0.000018528228,0.0009738278,0.00019393898,0.9840936,0.00008059922,0.00004143873,0.007947296],"study_design_scores_gemma":[0.00032113076,0.00068158447,0.8765466,0.00013316107,0.0000014021633,0.000023429902,0.00033544455,0.0071237236,0.11344419,0.0010074719,0.00029183397,0.00009000982],"about_ca_topic_score_codex":0.0004374719,"about_ca_topic_score_gemma":0.00007602493,"teacher_disagreement_score":0.8706494,"about_ca_system_score_codex":0.000018266433,"about_ca_system_score_gemma":0.000037964644,"threshold_uncertainty_score":0.14262663},"labels":[],"label_agreement":null},{"id":"W2018054217","doi":"10.1016/j.heares.2013.07.019","title":"Cross-correlations between three units in cat primary auditory cortex","year":2013,"lang":"en","type":"article","venue":"Hearing Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Auditory cortex; Audiology; Neuroscience; Primary (astronomy); Psychology; Biology; Physics; Medicine","score_opus":0.19601665591762232,"score_gpt":0.3856437659691408,"score_spread":0.18962711005151847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018054217","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99157506,0.000010241486,0.000054102733,0.0006717386,0.00034955353,0.00043586417,0.0000056271724,0.000057694022,0.0068400917],"genre_scores_gemma":[0.9943284,0.000011930502,0.00003346493,0.00009236192,0.0002571733,0.00006347064,0.000008115583,0.000020359368,0.0051847687],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980676,0.00017026941,0.00021183636,0.0004035807,0.00061530346,0.00053139613],"domain_scores_gemma":[0.9982037,0.0011490918,0.00002847813,0.00032045,0.00017755228,0.00012075173],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006556431,0.00008928141,0.00011875707,0.00032993435,0.00040428175,0.00022866868,0.00027150763,0.00009336966,0.00018974292],"category_scores_gemma":[0.0010852915,0.00008435385,0.000024052812,0.0011509657,0.00023282842,0.00039912123,0.00026321362,0.00068054517,0.0009875902],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013675111,0.000059093054,0.63547975,0.000042853357,0.0000021068724,0.000022910252,0.0001220711,0.00020555565,0.34779745,0.0015185557,0.0018676848,0.012868264],"study_design_scores_gemma":[0.00018431332,0.000056427747,0.98865384,0.000026597525,6.666321e-7,0.0000037477114,0.000009402445,0.006396041,0.0013830687,0.0024519528,0.000744866,0.000089081994],"about_ca_topic_score_codex":0.0012347421,"about_ca_topic_score_gemma":0.00013321979,"teacher_disagreement_score":0.35317406,"about_ca_system_score_codex":0.00021111844,"about_ca_system_score_gemma":0.00015290167,"threshold_uncertainty_score":0.99979025},"labels":[],"label_agreement":null},{"id":"W2018111368","doi":"10.1038/nn.3785","title":"Sharp emergence of feature-selective sustained activity along the dorsal visual pathway","year":2014,"lang":"en","type":"article","venue":"Nature Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":258,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Stimulus (psychology); Visual cortex; Visual system; Sensory system; Psychology; Premovement neuronal activity; Local field potential; Visual field; Visual processing; Visual memory; Cognition; Perception; Cognitive psychology","score_opus":0.011203332263213513,"score_gpt":0.27045557102334433,"score_spread":0.2592522387601308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018111368","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98991066,0.00003088578,0.0018521269,0.0026532987,0.002748794,0.0004551564,0.000022073324,0.00011603608,0.002210954],"genre_scores_gemma":[0.9961632,0.000017492754,0.000021024602,0.0029636684,0.00012345388,0.000014504825,8.4867327e-7,0.000020386093,0.0006754211],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99715894,0.00038143533,0.00020238623,0.0008870164,0.0008541913,0.0005160127],"domain_scores_gemma":[0.99838597,0.00067078124,0.00025938515,0.0004506089,0.00013970712,0.000093569644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053539523,0.0002516526,0.00022361128,0.00012284731,0.00053712376,0.00009471702,0.0008910316,0.00019830112,0.000013182584],"category_scores_gemma":[0.0047114543,0.00016584067,0.00012684001,0.001652746,0.000501201,0.0004563969,0.00023150447,0.0011762747,0.0000060524617],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007299277,0.00008671045,0.0003968162,0.000012537964,6.299741e-7,0.0000075016187,0.00005497027,0.00012970105,0.9856753,0.007803705,0.0006087286,0.005150456],"study_design_scores_gemma":[0.00026320404,0.0005015318,0.03669103,0.000013583499,0.000008292342,0.000045436296,0.000025872452,0.0482075,0.90817297,0.00084144,0.004963406,0.00026574812],"about_ca_topic_score_codex":0.000023493976,"about_ca_topic_score_gemma":0.000028321352,"teacher_disagreement_score":0.077502295,"about_ca_system_score_codex":0.000028113524,"about_ca_system_score_gemma":0.000100158315,"threshold_uncertainty_score":0.6762786},"labels":[],"label_agreement":null},{"id":"W2018279490","doi":"10.1080/13506280500197256","title":"Visual search and single-cell electrophysiology of attention: Area MT, from sensation to perception","year":2006,"lang":"en","type":"article","venue":"Visual Cognition","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Macaque; Psychology; Neuroscience; Extrastriate cortex; Perception; Sensory system; Electrophysiology; Visual cortex; N2pc; Visual search; Representation (politics); Sensation; Receptive field; Sensory processing; Cognitive psychology; Visual perception; Communication","score_opus":0.030524735441125855,"score_gpt":0.2743162468068146,"score_spread":0.24379151136568875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018279490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944764,0.0000038640906,0.004542813,0.000112674395,0.00013018571,0.00024197709,0.00003031411,0.00004955508,0.0004122466],"genre_scores_gemma":[0.999113,0.000009843166,0.00009948312,0.00021620016,0.00017818251,0.000009624019,0.00023109242,0.000014069496,0.00012848471],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99887455,0.0001431296,0.00020790321,0.0003722259,0.00022397212,0.00017822544],"domain_scores_gemma":[0.99961275,0.000113137074,0.00006716707,0.00006151936,0.000101335914,0.000044073047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007113636,0.00011305317,0.00012526981,0.00014626172,0.00011507928,0.000039167495,0.00003547488,0.00007611246,0.00006193959],"category_scores_gemma":[0.0000371303,0.00011374807,0.00004030326,0.0002543018,0.000060623686,0.00015725497,0.00003361762,0.000096680924,0.00005350988],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001534349,0.00021735781,0.00026549367,0.0000125596,0.0000015541109,0.0000025151962,0.000028997067,0.00003812449,0.9951119,0.00007447327,0.000027600223,0.0040660035],"study_design_scores_gemma":[0.00067565206,0.0021236564,0.087104596,0.000030041752,0.00003546571,0.000012642607,0.000095715324,0.0345727,0.87339824,0.0017232716,0.000020239842,0.00020776244],"about_ca_topic_score_codex":0.00013759205,"about_ca_topic_score_gemma":0.000025806168,"teacher_disagreement_score":0.12171363,"about_ca_system_score_codex":0.000042005224,"about_ca_system_score_gemma":0.000010091285,"threshold_uncertainty_score":0.46385118},"labels":[],"label_agreement":null},{"id":"W2018429176","doi":"10.3389/fncom.2015.00044","title":"The CNP signal is able to silence a supra threshold neuronal model","year":2015,"lang":"en","type":"article","venue":"Frontiers in Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lawson Health Research Institute","funders":"","keywords":"Neuroscience; SIGNAL (programming language); Premovement neuronal activity; Endogeny; Pulse (music); Waveform; Inhibitory postsynaptic potential; Central nervous system; Biological neural network; Noise (video); Physics; Computer science; Biology; Telecommunications; Endocrinology","score_opus":0.05528691126706343,"score_gpt":0.27593838212511534,"score_spread":0.22065147085805192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018429176","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59743387,0.00004479977,0.38135085,0.013626212,0.004913868,0.0007414353,0.00007805891,0.00013587701,0.0016749977],"genre_scores_gemma":[0.9774606,0.000012456241,0.0047866316,0.0164806,0.0000613719,0.000037845526,0.0000018059962,0.000020255064,0.0011383846],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99694943,0.00010546971,0.0003441958,0.0008680045,0.0011711273,0.0005617469],"domain_scores_gemma":[0.9989591,0.00026836235,0.000101506084,0.000269588,0.00010699932,0.00029440722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004552767,0.0002101141,0.00016364486,0.00019381344,0.0005082523,0.00032510198,0.0009467029,0.000043001684,0.0000036444926],"category_scores_gemma":[0.0005947952,0.00016999888,0.00006075394,0.0012141475,0.00036753796,0.0005205396,0.00025542936,0.0003063877,0.000029991],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008466072,0.000063545776,0.001236905,0.0000025750219,3.8633374e-7,0.00001758404,0.00015665474,0.95181876,0.013052541,0.005639334,0.026683567,0.0012434551],"study_design_scores_gemma":[0.00026422736,0.00015696335,0.0015570665,0.000007935364,0.0000016505743,0.000022874632,0.0000393295,0.94854224,0.0015643435,0.044768505,0.0028859884,0.00018888168],"about_ca_topic_score_codex":0.000007836539,"about_ca_topic_score_gemma":0.0000025148518,"teacher_disagreement_score":0.38002676,"about_ca_system_score_codex":0.00010525064,"about_ca_system_score_gemma":0.00030697673,"threshold_uncertainty_score":0.6932353},"labels":[],"label_agreement":null},{"id":"W2019013825","doi":"10.1109/tbme.2014.2327055","title":"The Effects of HCN and KLT Ion Channels on Adaptation and Refractoriness in a Stochastic Auditory Nerve Model","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Refractory period; Neuroscience; Adaptation (eye); Ion channel; Neurophysiology; Computer science; Physics; Medicine; Psychology; Anesthesia; Internal medicine","score_opus":0.011337451424694053,"score_gpt":0.21057062244491034,"score_spread":0.1992331710202163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019013825","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3859881,0.000006810979,0.6124748,0.00012203645,0.0012731305,0.000105757426,0.000002352378,0.000024047888,0.000002959668],"genre_scores_gemma":[0.99973196,0.00005183097,0.0000427908,0.0000320481,0.00007045393,0.000030178962,3.912359e-7,0.000011588792,0.000028761506],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993103,0.000030978405,0.00014174158,0.00019129367,0.00018962691,0.00013603856],"domain_scores_gemma":[0.9988987,0.00090066803,0.00003195109,0.000089896916,0.000009660318,0.00006911923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012686726,0.00009938315,0.00010374943,0.00014394938,0.000077586315,0.000016876915,0.0000509534,0.00006346917,3.9677874e-7],"category_scores_gemma":[0.00014516176,0.00007431427,0.000020969914,0.00018260506,0.000066207635,0.00006934103,0.0000014696933,0.00020057817,6.573247e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053686133,0.00006251915,1.4320902e-7,0.000069029564,0.000002874578,0.0000018894025,0.0001189665,0.54227453,0.42905644,0.00036745158,0.0000030223212,0.027989415],"study_design_scores_gemma":[0.0003854945,0.00027841787,0.000075550284,0.00010886913,0.000005595627,0.0000039444585,0.000005605529,0.97940457,0.019490002,0.00012932834,0.000039800725,0.00007280931],"about_ca_topic_score_codex":0.00000937394,"about_ca_topic_score_gemma":0.0000029688606,"teacher_disagreement_score":0.6137439,"about_ca_system_score_codex":0.000025826266,"about_ca_system_score_gemma":0.000007955408,"threshold_uncertainty_score":0.3030448},"labels":[],"label_agreement":null},{"id":"W2019394797","doi":"10.1162/neco_a_00255","title":"Decorrelation of Spiking Variability and Improved Information Transfer Through Feedforward Divisive Normalization","year":2011,"lang":"en","type":"article","venue":"Neural Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"McGill University","keywords":"Decorrelation; Normalization (sociology); Feed forward; Visual cortex; Stimulus (psychology); Population; Neuroscience; Mathematics; Computer science; Pattern recognition (psychology); Biological system; Artificial intelligence; Algorithm; Biology; Psychology","score_opus":0.029644936793503586,"score_gpt":0.23713665596748032,"score_spread":0.20749171917397674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019394797","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67191327,0.0000012967052,0.32671842,0.00003356013,0.0002662981,0.00026412122,0.000008835763,0.000046722882,0.000747493],"genre_scores_gemma":[0.99884754,0.000008003964,0.0008240354,0.00023880658,0.000018466098,0.000007686048,0.000044042976,0.000007471112,0.000003930767],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99901694,0.00011980807,0.00036929102,0.00019810595,0.00017038242,0.00012546369],"domain_scores_gemma":[0.99947834,0.00014217179,0.00014868309,0.0000844246,0.00011537999,0.000030973704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016013384,0.00011486015,0.00012331028,0.000081487546,0.00012385857,0.000037954556,0.000059523714,0.00006629833,0.000014856634],"category_scores_gemma":[0.00020328342,0.00010744327,0.000040741732,0.00025940785,0.000058773283,0.001854555,0.000026626038,0.000097636555,0.0000045199868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010701426,0.00034053402,0.02776843,0.00057787925,0.000026117155,0.0000033908598,0.021467306,0.032604754,0.4946092,0.062447634,0.000044685217,0.3590399],"study_design_scores_gemma":[0.0006068852,0.00029383658,0.06587118,0.000015180292,0.00002343104,0.000011898661,0.000058658687,0.8833107,0.042202502,0.0074009825,0.000039433293,0.00016531037],"about_ca_topic_score_codex":0.000058546084,"about_ca_topic_score_gemma":0.000004432712,"teacher_disagreement_score":0.8507059,"about_ca_system_score_codex":0.000025555519,"about_ca_system_score_gemma":0.000012030856,"threshold_uncertainty_score":0.43814096},"labels":[],"label_agreement":null},{"id":"W2019408649","doi":"10.1016/j.neuropsychologia.2009.03.007","title":"The temporal interaction of modality specific and process specific neural networks supporting simple working memory tasks","year":2009,"lang":"en","type":"article","venue":"Neuropsychologia","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Hospital for Sick Children; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Government of Ontario; James S. McDonnell Foundation","keywords":"Stimulus modality; Working memory; Psychology; Sensory system; Sensory memory; Cognition; Stimulus (psychology); Modality (human–computer interaction); Cognitive psychology; Short-term memory; Neuroscience; Computer science; Artificial intelligence","score_opus":0.04934231894299278,"score_gpt":0.316154545802521,"score_spread":0.2668122268595282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019408649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99459517,0.00006475028,0.00056048157,0.0010866489,0.0013460233,0.00030652364,0.0000029199832,0.00010399085,0.0019334644],"genre_scores_gemma":[0.99862415,0.00013706039,0.000020779631,0.0008930783,0.00023702001,0.000005358171,0.000004694695,0.000018824392,0.000059037855],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9979602,0.00024121723,0.00051002274,0.00062633946,0.00025666933,0.00040556645],"domain_scores_gemma":[0.99871993,0.00033683088,0.0004224617,0.0003997706,0.000045856857,0.00007514373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039340547,0.0002070046,0.00020206702,0.00006644807,0.0003812083,0.0001687844,0.00031182385,0.000077666475,0.000018712837],"category_scores_gemma":[0.00017076643,0.00015060091,0.00007606054,0.00043464566,0.0001963297,0.00022534624,0.00005326814,0.0005335432,0.000003173138],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00091235264,0.00025719282,0.011953801,0.000017323237,0.000005221245,0.00012907671,0.00022610372,0.0055952063,0.43819913,0.0016596755,0.0016572614,0.53938764],"study_design_scores_gemma":[0.0022431794,0.0023705985,0.66706747,0.000082128216,0.000030347695,0.00083562435,0.00066758145,0.26896217,0.032574594,0.014575357,0.009337779,0.0012531591],"about_ca_topic_score_codex":0.0000030389588,"about_ca_topic_score_gemma":0.0000020356676,"teacher_disagreement_score":0.6551137,"about_ca_system_score_codex":0.000017577715,"about_ca_system_score_gemma":0.0000059567387,"threshold_uncertainty_score":0.6141327},"labels":[],"label_agreement":null},{"id":"W2019626569","doi":"10.1111/j.1460-9568.2005.03878.x","title":"Sound‐guided shaping of the receptive field in the mouse auditory cortex by basal forebrain activation","year":2005,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Fondation pour la Recherche Médicale; Institute of Neurosciences, Mental Health and Addiction; Fondation Pour l'Audition","keywords":"Basal forebrain; Receptive field; Auditory cortex; Neuroscience; Forebrain; Sound (geography); Psychology; Basal (medicine); Biology; Acoustics; Physics; Central nervous system; Endocrinology","score_opus":0.05194617755539281,"score_gpt":0.2695973734579766,"score_spread":0.21765119590258375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019626569","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903409,0.000005409167,0.0016885415,0.005454804,0.00078839686,0.0001473953,0.0000043578843,0.0000076464175,0.0015625455],"genre_scores_gemma":[0.9878277,0.000023624414,0.00004278255,0.011589032,0.0002135881,6.6437326e-7,1.4026668e-7,0.000013070159,0.00028937584],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974729,0.0009787343,0.0004925226,0.00023412914,0.0006104123,0.00021129788],"domain_scores_gemma":[0.99855673,0.00046353904,0.00062819186,0.00024241365,0.000062748266,0.00004637203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012802699,0.000119104145,0.0001245033,0.00009975222,0.00021247596,0.00008406632,0.001033711,0.000017273656,0.000010462968],"category_scores_gemma":[0.00257678,0.00006947643,0.00010140102,0.00055966043,0.0002254235,0.00054348237,0.00010231468,0.00047258966,0.00000397869],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002984967,0.000062717634,0.0001463304,0.00000261204,4.069121e-7,0.000009715287,0.00036886745,0.00057440164,0.9908405,0.00014996104,0.0059949993,0.001819634],"study_design_scores_gemma":[0.0017470607,0.0019634478,0.17739162,0.00018071903,0.000018339184,0.000448495,0.00049104315,0.017991927,0.76768917,0.0007591135,0.03084635,0.00047275182],"about_ca_topic_score_codex":0.0000021988144,"about_ca_topic_score_gemma":0.0000025705633,"teacher_disagreement_score":0.22315136,"about_ca_system_score_codex":0.000039538198,"about_ca_system_score_gemma":0.000042016585,"threshold_uncertainty_score":0.30848324},"labels":[],"label_agreement":null},{"id":"W2019630235","doi":"10.1523/jneurosci.2905-09.2009","title":"Evidence for Hierarchical Processing in Cat Auditory Cortex: Nonreciprocal Influence of Primary Auditory Cortex on the Posterior Auditory Field","year":2009,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Auditory cortex; Neuroscience; Receptive field; Electrophysiology; CATS; Stimulus (psychology); Cortex (anatomy); Psychology; Medicine; Cognitive psychology; Internal medicine","score_opus":0.055466945749537026,"score_gpt":0.30794737128378996,"score_spread":0.25248042553425293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019630235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99183595,0.00004255033,0.0004365268,0.003905055,0.0032534662,0.00040769836,0.0000058993655,0.000016596889,0.000096243886],"genre_scores_gemma":[0.988115,0.000117845375,0.00011405901,0.010739536,0.0007603771,0.000009421709,1.325341e-7,0.000014087979,0.00012955467],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9968201,0.00025355333,0.0008674789,0.0005292037,0.0010844481,0.00044525138],"domain_scores_gemma":[0.99611044,0.0022016359,0.0009750719,0.00033013453,0.00022439082,0.000158324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001001022,0.00024053885,0.00039204417,0.0002835949,0.00030056623,0.00011330693,0.001091153,0.00010499734,0.0000042840657],"category_scores_gemma":[0.006791768,0.00016666358,0.00017428405,0.0005539933,0.0004770768,0.0009969346,0.00009226607,0.000697819,0.0000023751704],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057020877,0.00021041739,0.0002781846,0.000044992543,4.681465e-7,0.00007234786,0.0001247892,0.00079657073,0.98811704,0.00007044094,0.00083194755,0.0088825645],"study_design_scores_gemma":[0.00071034185,0.0059463205,0.9424005,0.0011700776,0.000020887937,0.0004527261,0.000030021183,0.0093974145,0.03726668,0.00091163465,0.0013492639,0.00034410073],"about_ca_topic_score_codex":0.0000026761766,"about_ca_topic_score_gemma":0.0000033037677,"teacher_disagreement_score":0.95085037,"about_ca_system_score_codex":0.00016138476,"about_ca_system_score_gemma":0.00058356667,"threshold_uncertainty_score":0.81308717},"labels":[],"label_agreement":null},{"id":"W2019818616","doi":"10.1371/journal.pcbi.0020025","title":"A Model for Integrating Elementary Neural Functions into Delayed-Response Behavior","year":2006,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Computer science; Artificial neural network; Recall; Cognition; Working memory; Artificial intelligence; Modular design; Psychology; Neuroscience; Cognitive psychology","score_opus":0.043288611761393245,"score_gpt":0.2949877879972263,"score_spread":0.25169917623583304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019818616","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81916374,0.000006575614,0.1790242,0.00089338183,0.00022261684,0.0003452601,0.00021530126,0.00008457473,0.000044363987],"genre_scores_gemma":[0.98727995,3.3915657e-7,0.010375611,0.0012488788,0.00010558478,0.0002402009,0.00045315825,0.000015556714,0.00028069032],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99893856,0.00011606986,0.00026819386,0.00036501777,0.00009923199,0.00021293583],"domain_scores_gemma":[0.9988672,0.0008411689,0.00009093582,0.000081200946,0.00008251342,0.00003694278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010308236,0.0001298184,0.000118564545,0.00011669218,0.0003159733,0.00002998881,0.00011452852,0.00005673225,0.000023884131],"category_scores_gemma":[0.00016010346,0.00011642977,0.000080090176,0.00013626288,0.00008484788,0.000105800165,0.000047065347,0.00010916447,0.00001734807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050423143,0.0002649136,0.0013142496,0.000005586114,0.000007322809,0.0000029369078,0.00004224535,0.15814528,0.8188925,0.017118031,0.00080587337,0.0028968775],"study_design_scores_gemma":[0.00038383802,0.0003020967,0.0010649317,0.0000021484182,0.000019164192,0.000014978311,0.000013251876,0.96797574,0.0020803683,0.027847216,0.00017109569,0.00012517093],"about_ca_topic_score_codex":0.000047524187,"about_ca_topic_score_gemma":0.000062695355,"teacher_disagreement_score":0.8168121,"about_ca_system_score_codex":0.00006273243,"about_ca_system_score_gemma":0.000048468035,"threshold_uncertainty_score":0.47478682},"labels":[],"label_agreement":null},{"id":"W2019907648","doi":"10.1016/j.cortex.2014.06.014","title":"Posture alters human resting-state","year":2014,"lang":"en","type":"article","venue":"Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":79,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Jewish General Hospital; McGill University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Volkswagen Foundation","keywords":"Supine position; Neuroimaging; Psychology; Resting state fMRI; Sitting; Cognition; Lying; Functional neuroimaging; Functional magnetic resonance imaging; Neuroscience; Brain activity and meditation; Physical medicine and rehabilitation; Cognitive psychology; Electroencephalography; Medicine; Anesthesia","score_opus":0.023418574139858952,"score_gpt":0.26149645887686784,"score_spread":0.2380778847370089,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019907648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9868885,0.000002288976,0.00028355359,0.00039997586,0.0004867507,0.000076394215,0.000002952256,0.00010168214,0.011757875],"genre_scores_gemma":[0.9935661,0.000002627518,0.000020446694,0.0023650979,0.000086246655,0.0000027096385,0.0000030391207,0.00001222361,0.003941524],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992988,0.000049322625,0.00009887647,0.00026371903,0.00012345631,0.00016579885],"domain_scores_gemma":[0.9996111,0.00007674635,0.000052336578,0.00018971437,0.000014636695,0.00005546638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000079133686,0.0000763763,0.00006978663,0.00003490022,0.00016464079,0.000045480887,0.0001303362,0.000022713524,0.00002827417],"category_scores_gemma":[0.00020881975,0.000065235916,0.000030987532,0.000107386295,0.000046335033,0.000066163644,0.000039208076,0.000110053574,0.00010746316],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000062843824,0.00001205804,0.0005538534,0.0000045703055,5.038014e-7,0.000008327974,0.000027798553,0.000024887362,0.9895997,0.0032771707,0.001203517,0.0052813147],"study_design_scores_gemma":[0.0019268984,0.0015759673,0.5329246,0.0001032499,0.000032685017,0.00017826697,0.00003131939,0.06001703,0.21584865,0.049991973,0.13609867,0.0012707218],"about_ca_topic_score_codex":0.000012485691,"about_ca_topic_score_gemma":0.000012411254,"teacher_disagreement_score":0.7737511,"about_ca_system_score_codex":0.000011312045,"about_ca_system_score_gemma":0.0000049857235,"threshold_uncertainty_score":0.26602435},"labels":[],"label_agreement":null},{"id":"W2020109033","doi":"10.1016/j.neuroimage.2013.05.051","title":"Emotion modulates activity in the ‘what’ but not ‘where’ auditory processing pathway","year":2013,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Health Research Board","keywords":"Stimulus (psychology); Psychology; Auditory cortex; Sensory system; Neuroscience; Dorsum; Cognitive psychology; Biology; Anatomy","score_opus":0.030259684268562168,"score_gpt":0.24387376115578444,"score_spread":0.21361407688722228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020109033","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99463195,0.000011102461,0.00013629021,0.002958836,0.00087618234,0.00040125198,0.0000037550653,0.000086363514,0.0008942487],"genre_scores_gemma":[0.9971566,0.00004210265,0.00001640625,0.0019654061,0.00020093282,0.000040948806,0.0000010669853,0.000021366302,0.0005551427],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984759,0.0002865699,0.00015895086,0.0004582323,0.00032735508,0.00029298733],"domain_scores_gemma":[0.9992978,0.00022981747,0.00010467904,0.00029548514,0.000030936175,0.00004126343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018146572,0.00015727112,0.00011680736,0.00007493284,0.00021051176,0.0005105023,0.00027862645,0.00005692397,0.00004417002],"category_scores_gemma":[0.00022254093,0.00011199399,0.000053584983,0.00029159262,0.00009152706,0.0016690893,0.000062187755,0.0003665138,0.00016110811],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009946968,0.000081739476,0.00008247044,0.000021096004,2.472129e-7,0.000023407812,0.0001146452,0.0000719658,0.938534,0.00005365207,0.00025625655,0.060750574],"study_design_scores_gemma":[0.00058750313,0.0002438188,0.25032493,0.00007910774,0.000006837153,0.00007825854,0.00020981696,0.15480547,0.5895798,0.0016631058,0.001986644,0.00043468567],"about_ca_topic_score_codex":0.00007029788,"about_ca_topic_score_gemma":0.000012923837,"teacher_disagreement_score":0.34895417,"about_ca_system_score_codex":0.000029350853,"about_ca_system_score_gemma":0.0000238083,"threshold_uncertainty_score":0.49227855},"labels":[],"label_agreement":null},{"id":"W2020178745","doi":"10.1016/j.heares.2004.10.003","title":"Disrupted tonotopy of the auditory cortex in mice lacking M1 muscarinic acetylcholine receptor","year":2004,"lang":"en","type":"article","venue":"Hearing Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Institute of Neurosciences, Mental Health and Addiction; National Institute of Neurological Disorders and Stroke; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Tonotopy; Neuroscience; Auditory cortex; Neocortex; Muscarinic acetylcholine receptor; Biology; Muscarinic acetylcholine receptor M4; Acetylcholine; Cortex (anatomy); Receptor; Endocrinology; Genetics","score_opus":0.11296152510190231,"score_gpt":0.37734490088250383,"score_spread":0.2643833757806015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020178745","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961782,0.000014893265,0.000013887681,0.0013501032,0.0006462682,0.0003457407,0.0000046345813,0.000026333222,0.0014199313],"genre_scores_gemma":[0.9986043,0.000048949772,0.00004415595,0.00012867407,0.00014394104,0.00001907979,0.0000010313335,0.000018132865,0.0009917339],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980489,0.00026379083,0.00025548073,0.00037898956,0.0006224148,0.0004304136],"domain_scores_gemma":[0.99899924,0.00044393077,0.00005733077,0.0003587349,0.00007940171,0.000061389626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000932065,0.000089771616,0.00013427399,0.0001826181,0.00021518083,0.000046175934,0.00040593988,0.0000743061,0.000039725455],"category_scores_gemma":[0.0013675407,0.0000685425,0.00006265053,0.0010265616,0.00023306005,0.00012243769,0.0003576852,0.00078140886,0.000051315546],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005081418,0.0000895976,0.0033350738,0.00003218001,0.0000012288448,0.0000051395214,0.00020897496,0.0005516149,0.99298114,0.0010479466,0.00012048975,0.001575824],"study_design_scores_gemma":[0.001959662,0.000278499,0.39536428,0.0004234131,0.000003558246,0.00002510653,0.00025316724,0.0049810824,0.58901656,0.002295055,0.0050945743,0.00030503896],"about_ca_topic_score_codex":0.00048055968,"about_ca_topic_score_gemma":0.00017380404,"teacher_disagreement_score":0.40396455,"about_ca_system_score_codex":0.00020489216,"about_ca_system_score_gemma":0.0001498277,"threshold_uncertainty_score":0.3394876},"labels":[],"label_agreement":null},{"id":"W2020342258","doi":"10.1007/s00422-006-0115-3","title":"A Markov model for interspike interval distributions of auditory cortical neurons that do not show periodic firings","year":2006,"lang":"en","type":"article","venue":"Biological Cybernetics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Interval (graph theory); Markov chain; Auditory cortex; Markov process; Cortical neurons; Mathematics; Neuroscience; Statistical physics; Psychology; Statistics; Physics; Combinatorics","score_opus":0.05395822397629126,"score_gpt":0.2641973130132405,"score_spread":0.21023908903694924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020342258","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9376538,0.000014612723,0.06002344,0.00062216376,0.00052611326,0.00031418804,0.00049766613,0.00007260982,0.000275419],"genre_scores_gemma":[0.9978589,0.000023461502,0.0008004641,0.00038067315,0.00013853822,0.000039238388,0.000041941545,0.000012809653,0.0007040045],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986282,0.000086080916,0.00031994007,0.00045327275,0.00017303035,0.00033949668],"domain_scores_gemma":[0.99901575,0.0005132983,0.0001251855,0.00020908067,0.000053079588,0.000083604675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012211522,0.000182871,0.00023675156,0.000039124803,0.00014077507,0.0000529472,0.00027838178,0.00015227319,0.000041177842],"category_scores_gemma":[0.00069394876,0.00013676776,0.00020665229,0.000102980644,0.0004889803,0.000049640304,0.00018170284,0.00023047431,0.000008365737],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054910994,0.0007567539,0.005837954,0.00004582444,0.000009210858,0.000016618862,0.00009206121,0.00068084226,0.93334275,0.0486668,0.005640314,0.004361737],"study_design_scores_gemma":[0.00078662706,0.0012397849,0.06986957,0.000037016136,0.000045484354,0.000030251418,0.000026948708,0.8924188,0.023930045,0.005957398,0.00519236,0.00046570037],"about_ca_topic_score_codex":0.000008154427,"about_ca_topic_score_gemma":0.000010889849,"teacher_disagreement_score":0.90941274,"about_ca_system_score_codex":0.000048677794,"about_ca_system_score_gemma":0.000022136233,"threshold_uncertainty_score":0.55772275},"labels":[],"label_agreement":null},{"id":"W2020369475","doi":"10.1093/cercor/bhj130","title":"Electrophysiological Markers of Visuocortical Development","year":2006,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Electrophysiology; Synaptogenesis; Neuroscience; Electroencephalography; Biology; Stimulation; Audiology; Brain development; Psychology; Medicine","score_opus":0.015311670042323764,"score_gpt":0.23099008862675238,"score_spread":0.21567841858442863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020369475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940739,0.0000044855533,0.00028044663,0.00007078728,0.00014304809,0.0001161633,0.0000019981037,0.000054061453,0.0052550896],"genre_scores_gemma":[0.9986393,0.0000020459643,0.0002765702,0.00025629526,0.00005388241,0.000007127404,0.0000067452615,0.0000088504175,0.0007491695],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989951,0.000044667242,0.0002427912,0.00028445543,0.00018899763,0.00024393432],"domain_scores_gemma":[0.99967784,0.000070242,0.00006979008,0.00011712418,0.000020992506,0.00004402118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004344985,0.000104064566,0.00013818943,0.00004049015,0.00007525644,0.000014292313,0.00012619625,0.00005002283,0.00020896042],"category_scores_gemma":[0.000063465384,0.00008056503,0.000058935904,0.00018243863,0.00009796565,0.00005702106,0.0000500409,0.00010485017,0.00005870609],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001154378,0.000080561374,0.0007816966,0.0000067567903,0.0000014733396,0.000007679681,0.000002081266,0.000011022561,0.9826557,0.012429535,0.00034295232,0.0035651056],"study_design_scores_gemma":[0.00035255772,0.000515599,0.5357791,0.000008806395,0.000006774772,0.000018853922,0.000004375554,0.0030547304,0.45289764,0.004686292,0.0024535533,0.00022171604],"about_ca_topic_score_codex":0.0000112302205,"about_ca_topic_score_gemma":0.00000437185,"teacher_disagreement_score":0.5349974,"about_ca_system_score_codex":0.000031728014,"about_ca_system_score_gemma":0.000034063723,"threshold_uncertainty_score":0.32853463},"labels":[],"label_agreement":null},{"id":"W2020418413","doi":"10.1038/nrn3061-c2","title":"Natural moment-to-moment signal variability and stochastic facilitation","year":2011,"lang":"en","type":"review","venue":"Nature reviews. Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Moment (physics); Facilitation; SIGNAL (programming language); Natural (archaeology); Neuroscience; Physics; Biology; Computer science; Paleontology; Classical mechanics","score_opus":0.06875052074200147,"score_gpt":0.33967909563545706,"score_spread":0.27092857489345556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020418413","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000047745045,0.9879389,0.003416854,0.0001137447,0.003734951,0.004271899,0.00014441798,0.0001183713,0.00021313205],"genre_scores_gemma":[0.0012419407,0.9953354,0.00017584565,0.0019256973,0.00013821556,0.00036010635,0.000016233722,0.000051338644,0.0007552437],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99355656,0.001268507,0.0011386174,0.0025080186,0.00076439156,0.0007639212],"domain_scores_gemma":[0.997216,0.0007026532,0.0006887193,0.0008854476,0.000082990024,0.00042418615],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015664983,0.0008945755,0.0018417309,0.00042029892,0.00042320765,0.00023976425,0.0010783938,0.00045585498,0.000039402876],"category_scores_gemma":[0.003210031,0.0006347109,0.00047421543,0.0019728402,0.00035332507,0.0004435538,0.00050306425,0.0021224383,0.00014653511],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008480467,0.00007900814,5.915282e-7,0.003671694,0.0000019028809,0.000009818647,0.00003878054,0.000003400721,0.0013213778,0.0034867702,0.00028607986,0.9910921],"study_design_scores_gemma":[0.000084356674,0.000219395,0.000024230543,0.0025076247,0.00013647074,0.00015005664,7.616288e-7,0.00029891246,0.000016434085,0.00024585426,0.995703,0.00061293144],"about_ca_topic_score_codex":0.0000029433072,"about_ca_topic_score_gemma":0.0000015015127,"teacher_disagreement_score":0.9954169,"about_ca_system_score_codex":0.00022475877,"about_ca_system_score_gemma":0.0001870785,"threshold_uncertainty_score":0.9996104},"labels":[],"label_agreement":null},{"id":"W2020448650","doi":"10.1186/1471-2202-15-s1-p129","title":"The emergence of cohorts of co-active neurons in random recurrent networks provides a mechanism for orientation and direction selectivity","year":2014,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Neuroscience; Stimulus (psychology); Computer science; Feed forward; Population; Visual cortex; Orientation (vector space); Nonlinear system; Artificial intelligence; Physics; Psychology; Mathematics; Cognitive psychology; Geometry; Medicine","score_opus":0.027804627022590962,"score_gpt":0.2839544311628812,"score_spread":0.25614980414029026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020448650","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9154877,0.0000071544378,0.082311,0.0000689429,0.0011141369,0.0008966622,0.000011131943,0.00001958375,0.00008368524],"genre_scores_gemma":[0.99959147,0.00011649244,0.000058936803,0.00007878163,0.000020207723,0.00009265803,6.828576e-7,0.000008096962,0.00003266044],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99846435,0.00031600997,0.00028557054,0.0004736811,0.00024168662,0.0002187096],"domain_scores_gemma":[0.9982025,0.0012230858,0.0002887792,0.0001679878,0.00007595996,0.000041694373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057375466,0.00010999837,0.00017047413,0.00007632424,0.0002617242,0.000032357973,0.00015557469,0.00002971392,5.380106e-7],"category_scores_gemma":[0.0031949957,0.00008340549,0.000045314948,0.00053449726,0.00026321848,0.00024313795,0.000042058997,0.00010288292,8.491521e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005735868,0.00009457841,0.0034785822,0.000039586055,4.2693048e-7,2.5893723e-7,0.00008450199,0.0020446389,0.96702313,0.014984897,0.000018712892,0.011657086],"study_design_scores_gemma":[0.00070505665,0.0007293344,0.049091842,0.00002225708,0.000008176922,0.000008332165,0.00002495739,0.6618911,0.2843805,0.0029136862,0.00011013534,0.0001145947],"about_ca_topic_score_codex":0.00003005689,"about_ca_topic_score_gemma":0.00015428782,"teacher_disagreement_score":0.68264264,"about_ca_system_score_codex":0.000012756203,"about_ca_system_score_gemma":0.00004209593,"threshold_uncertainty_score":0.3824939},"labels":[],"label_agreement":null},{"id":"W2020470595","doi":"10.1016/j.neuron.2013.05.030","title":"Impact of Neuronal Properties on Network Coding: Roles of Spike Initiation Dynamics and Robust Synchrony Transfer","year":2013,"lang":"en","type":"article","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":175,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"National Institute of Neurological Disorders and Stroke; National Institutes of Health; Okinawa Institute of Science and Technology School Corporation","keywords":"Neuroscience; Dynamics (music); Spike (software development); Network dynamics; Biology; Computer science; Psychology; Mathematics","score_opus":0.03343912082843676,"score_gpt":0.23134948070694605,"score_spread":0.1979103598785093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020470595","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983069,0.000011180562,0.0003492761,0.00023637466,0.00018776803,0.0003114877,0.000020172816,0.000028793784,0.0005480592],"genre_scores_gemma":[0.99955714,0.000079780824,0.000011714572,0.00020810642,0.00005115165,0.000009430142,0.000004786897,0.000021391654,0.000056486613],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989336,0.00010277713,0.0002561381,0.00027944925,0.00022391777,0.00020408926],"domain_scores_gemma":[0.9995362,0.00011989502,0.000084452084,0.00015695473,0.00004835239,0.00005413959],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000058478356,0.00015176863,0.00018728492,0.00007397091,0.0000692317,0.000034597386,0.00010622225,0.000053622796,0.000034081655],"category_scores_gemma":[0.00010503788,0.000115650306,0.0000783021,0.00016293075,0.000103261635,0.00022841981,0.000029603912,0.00015337778,0.0000046193745],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002101782,0.0001655932,0.007388939,0.00008555192,0.000006404327,0.00000283707,0.00008075734,0.044449795,0.9359412,0.0046830582,0.0001771659,0.006808492],"study_design_scores_gemma":[0.00078083307,0.0034857823,0.44328952,0.000115943054,0.000028229519,0.000023359456,0.000018132669,0.48978284,0.06183376,0.00034942455,0.00001786641,0.00027431664],"about_ca_topic_score_codex":0.00004605493,"about_ca_topic_score_gemma":0.000019676663,"teacher_disagreement_score":0.8741075,"about_ca_system_score_codex":0.000028449842,"about_ca_system_score_gemma":0.000030246143,"threshold_uncertainty_score":0.47160825},"labels":[],"label_agreement":null},{"id":"W2020883118","doi":"10.1016/j.neuropsychologia.2013.01.002","title":"Induced gamma-band response to fragmented images: An intracranial EEG study","year":2013,"lang":"en","type":"article","venue":"Neuropsychologia","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine; Hôpital Notre-Dame; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Psychology; Electroencephalography; Audiology; Cognitive psychology; Neuroscience; Communication","score_opus":0.035951829739574434,"score_gpt":0.30802760166634485,"score_spread":0.2720757719267704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020883118","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940834,6.9229986e-7,0.00010227473,0.0015886622,0.0015139715,0.0014016081,0.000010687195,0.00029733867,0.0010013644],"genre_scores_gemma":[0.9915844,0.0000016327308,0.00007565995,0.007380571,0.000106187224,0.000117539705,0.0000015921261,0.000045105386,0.0006873174],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9968148,0.0010040296,0.00034146092,0.0010085182,0.00037310418,0.0004581125],"domain_scores_gemma":[0.99853045,0.00027860518,0.00009669961,0.0007519718,0.00007815286,0.00026411682],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003678276,0.00026439628,0.00021021701,0.00021444654,0.0002178345,0.0002615481,0.000532443,0.00008609793,0.00037973162],"category_scores_gemma":[0.0011608329,0.00022216907,0.000052011066,0.0006669139,0.000057477162,0.00040949578,0.000089929665,0.00041787743,0.0011807471],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009691852,0.00073773356,0.0012496535,0.000001411208,0.0000023394416,0.00026204335,0.00016950413,0.000012482879,0.98517156,0.000008253556,0.001147813,0.01026801],"study_design_scores_gemma":[0.0016015739,0.0074048014,0.94893044,0.000005947443,0.0000096092845,0.000113318994,0.0001637453,0.00032900297,0.040375024,0.00014793841,0.00053671154,0.0003818668],"about_ca_topic_score_codex":0.000045042845,"about_ca_topic_score_gemma":0.000005553901,"teacher_disagreement_score":0.94768083,"about_ca_system_score_codex":0.00002981203,"about_ca_system_score_gemma":0.000016765913,"threshold_uncertainty_score":0.99959695},"labels":[],"label_agreement":null},{"id":"W2021294503","doi":"10.3934/dcds.2012.32.2729","title":"Type III excitability, slope sensitivity and coincidence detection","year":2012,"lang":"en","type":"article","venue":"Discrete and Continuous Dynamical Systems","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":93,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Institute on Deafness and Other Communication Disorders; National Institutes of Health; Ministerio de Ciencia e Innovación; Departament d'Innovació, Universitats i Empresa, Generalitat de Catalunya; National Natural Science Foundation of China","keywords":"Coincidence detection in neurobiology; Coincidence; Property (philosophy); Sensitivity (control systems); Computer science; Tonic (physiology); Brainstem; Biological neuron model; Neuroscience; Biological system; Physics; Neuron; Biology","score_opus":0.015590775184317479,"score_gpt":0.2394702692571857,"score_spread":0.22387949407286822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021294503","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99476457,0.00020984601,0.0028264136,0.00008723122,0.00093149976,0.0003427004,0.00001292483,0.00009022714,0.00073457113],"genre_scores_gemma":[0.9992746,0.000050831943,0.00000963142,0.000114715505,0.00015342228,0.00001242159,0.0000037065884,0.000015254415,0.00036538954],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985309,0.00027617454,0.0002344556,0.00039090708,0.00020686073,0.0003607062],"domain_scores_gemma":[0.9992021,0.00028757416,0.000092780916,0.00017961618,0.000041767737,0.00019619991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004381411,0.0001721401,0.0002595221,0.000040126306,0.00021874513,0.00013400143,0.000051727464,0.000102965205,0.000003925651],"category_scores_gemma":[0.00026356074,0.00013908275,0.000038386235,0.00016113595,0.00016374099,0.0003543142,0.000108770735,0.00016976654,0.000007818724],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015697515,0.00006195719,0.022435086,0.000093511655,0.000010195462,0.000027441332,0.0002129047,0.000012925968,0.948677,0.006955682,0.000014533629,0.021341806],"study_design_scores_gemma":[0.0021650682,0.0011583725,0.38449404,0.0002500231,0.00015511196,0.0035000104,0.0010503172,0.58581746,0.014553342,0.0010998289,0.003883758,0.0018726797],"about_ca_topic_score_codex":0.00034982985,"about_ca_topic_score_gemma":0.000100644815,"teacher_disagreement_score":0.93412364,"about_ca_system_score_codex":0.000034779554,"about_ca_system_score_gemma":0.000006160003,"threshold_uncertainty_score":0.56716305},"labels":[],"label_agreement":null},{"id":"W2021323092","doi":"10.1097/00001756-200302100-00024","title":"Neuromagnetic gamma-band activity in the primary and secondary somatosensory areas","year":2003,"lang":"en","type":"article","venue":"Neuroreport","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital","funders":"","keywords":"Magnetoencephalography; Somatosensory system; Neuroscience; Somatosensory evoked potential; Stimulation; Psychology; Secondary somatosensory cortex; Latency (audio); Physics; Audiology; Medicine; Electroencephalography; Telecommunications; Computer science","score_opus":0.02254765602597093,"score_gpt":0.22827580354816823,"score_spread":0.2057281475221973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021323092","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9576358,0.000026463236,0.0000059654403,0.00049025676,0.00037438536,0.00028635655,0.0000035877817,0.000046705187,0.041130465],"genre_scores_gemma":[0.99540055,0.000047528825,0.000009771724,0.0039660707,0.000026654892,0.000017757451,0.0000010597887,0.000019435907,0.0005111444],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983355,0.00035743907,0.00022631457,0.00052400597,0.00029342066,0.00026331752],"domain_scores_gemma":[0.9990836,0.00035219494,0.00011712899,0.0003734657,0.000011355971,0.000062255705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026815917,0.00016546698,0.00016049064,0.00008140639,0.00014017106,0.00008727787,0.00012753997,0.000049123937,0.000029135614],"category_scores_gemma":[0.00048146362,0.00012277956,0.000047714777,0.00025714486,0.00013125344,0.00020446615,0.000029864901,0.0003808963,0.000008425484],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040801366,0.000174919,0.01508266,0.000041642154,0.0000012019271,0.002283608,0.0000929164,0.00000940497,0.9730842,0.0012834127,0.00050608296,0.007399167],"study_design_scores_gemma":[0.00059677387,0.00028502545,0.9047234,0.000009021997,0.000012342334,0.0056814617,0.000015381242,0.00031428176,0.07548655,0.001698235,0.01091004,0.00026749432],"about_ca_topic_score_codex":0.0000102828135,"about_ca_topic_score_gemma":0.000009731978,"teacher_disagreement_score":0.8975976,"about_ca_system_score_codex":0.000013003253,"about_ca_system_score_gemma":0.00006496079,"threshold_uncertainty_score":0.5006805},"labels":[],"label_agreement":null},{"id":"W2021324650","doi":"10.1016/j.jneumeth.2007.02.021","title":"A simple indicator of nonstationarity of firing rate in spike trains","year":2007,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research; Fondation pour la Recherche Médicale","keywords":"Spike (software development); Simple (philosophy); Train; Computer science; Artificial intelligence; Geography; Cartography","score_opus":0.09231336944728556,"score_gpt":0.417530529595546,"score_spread":0.3252171601482604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021324650","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9114415,0.000012124019,0.08752235,0.00014771876,0.0005935137,0.000089727604,0.000006373232,0.0000041235594,0.00018253819],"genre_scores_gemma":[0.98613936,0.00003004581,0.01336373,0.00041154667,0.000029463858,4.5806343e-7,7.8408505e-8,0.0000073044575,0.000018044046],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99773073,0.0004896635,0.00087087194,0.00021782571,0.00044378033,0.00024712292],"domain_scores_gemma":[0.99734104,0.0013582708,0.0009675125,0.00014425427,0.00008466537,0.00010423569],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005199274,0.00009998696,0.00029646404,0.000566437,0.00006078928,0.000017520782,0.0003988833,0.00004353785,0.000008408732],"category_scores_gemma":[0.0050482387,0.00008279368,0.00011567078,0.0011788871,0.0002981958,0.00036983052,0.000059109872,0.00030691212,2.6920154e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059055787,0.000121658304,0.0050033694,0.00001672196,4.470215e-7,0.000040064417,0.00014785954,0.00054086396,0.97851604,0.0006767931,0.00000526783,0.014871873],"study_design_scores_gemma":[0.00036154792,0.0003901467,0.32362172,0.000024571586,0.0000054527177,0.00008463739,0.00004493174,0.0058319275,0.6664,0.0028289172,0.00033120665,0.00007492457],"about_ca_topic_score_codex":0.000006609652,"about_ca_topic_score_gemma":0.0000066795988,"teacher_disagreement_score":0.31861836,"about_ca_system_score_codex":0.000035987418,"about_ca_system_score_gemma":0.00012245621,"threshold_uncertainty_score":0.6043578},"labels":[],"label_agreement":null},{"id":"W2021345058","doi":"10.1073/pnas.1007885107","title":"Recovery of functional and structural age-related changes in the rat primary auditory cortex with operant training","year":2010,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":208,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Mental Health; Canadian Institutes of Health Research; Fundamental Research Funds for the Central Universities; National Institutes of Health; Shanghai Rising-Star Program","keywords":"Auditory cortex; Parvalbumin; Neuroscience; Cortex (anatomy); Psychology; Cognition; Cerebral cortex; Neuroplasticity; Neurophysiology; Audiology; Medicine","score_opus":0.04016977969543195,"score_gpt":0.25935806174545933,"score_spread":0.21918828205002738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021345058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952727,0.000010993211,1.9625898e-7,0.0027632182,0.0001266287,0.00015961808,0.000008130696,0.0000046984374,0.0016537986],"genre_scores_gemma":[0.9992024,0.000015372154,0.00010761148,0.0005181286,0.000063564505,0.000005884374,1.840863e-7,0.0000027717479,0.000084084175],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986345,0.000012200899,0.00020037165,0.00021863575,0.00082553533,0.00010872444],"domain_scores_gemma":[0.99931717,0.0002828412,0.00029798306,0.0000084504445,0.00007767232,0.000015902531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000886279,0.00007726345,0.0001182854,0.00012947529,0.00017529297,0.000026040902,0.00037885,0.000055768847,0.000009885899],"category_scores_gemma":[0.00037950336,0.000038901097,0.000026955988,0.0005664472,0.0012648405,0.000370237,0.00005833948,0.0002846955,1.05759376e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035897316,0.000011088449,0.0013680235,0.0000215326,0.0000021272674,2.7469751e-8,0.00030399012,0.00009104027,0.9850884,0.01228177,0.000052945717,0.0007431264],"study_design_scores_gemma":[0.00047223957,0.00024320144,0.7876574,0.0000937734,0.000012357199,0.00012225799,0.00044015516,0.0047021983,0.17274946,0.033285767,0.00009036288,0.00013085079],"about_ca_topic_score_codex":0.0000035632302,"about_ca_topic_score_gemma":0.0000015644647,"teacher_disagreement_score":0.81233895,"about_ca_system_score_codex":0.000010581087,"about_ca_system_score_gemma":0.00003467649,"threshold_uncertainty_score":0.46603572},"labels":[],"label_agreement":null},{"id":"W2021394691","doi":"10.1162/neco.2007.19.2.404","title":"Fast Population Coding","year":2007,"lang":"en","type":"letter","venue":"Neural Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Neural coding; Encoder; Computer science; Decoding methods; Stimulus (psychology); Computation; Population; ENCODE; Theoretical computer science; Models of neural computation; Coding (social sciences); Artificial intelligence; Artificial neural network; Algorithm; Neuroscience; Psychology; Mathematics; Cognitive psychology; Biology","score_opus":0.04796961973270329,"score_gpt":0.28775869688255007,"score_spread":0.23978907714984676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021394691","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2305589,0.000031922464,0.037434116,0.7054601,0.015448376,0.0018797088,0.00012303721,0.001551948,0.0075118905],"genre_scores_gemma":[0.44529992,0.0000063261887,0.000119034936,0.55049914,0.0024793872,0.0000066568755,0.00069637445,0.00005821181,0.00083496195],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978731,0.00016730554,0.00037201605,0.00062880357,0.0005896821,0.0003690747],"domain_scores_gemma":[0.9990305,0.00039933878,0.00031141544,0.00016185909,0.000056152752,0.00004078899],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00010939461,0.00028574077,0.00023335828,0.000310135,0.00023815095,0.00018009607,0.00017333415,0.0003988957,0.00003182273],"category_scores_gemma":[0.00013360589,0.00028016345,0.0001230073,0.00036039884,0.00003883879,0.00026203156,0.00005239303,0.0011925596,0.00010356174],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005004858,0.000031930518,0.00017744987,0.00017740228,0.000007507562,0.00065246463,0.00006408046,0.011887755,0.03160921,0.00033379378,0.8621455,0.09286288],"study_design_scores_gemma":[0.0007994255,0.00037871327,0.006001696,0.00013604957,0.000053042506,0.00038997765,0.000008237005,0.82420206,0.00474597,0.0043171206,0.15755357,0.0014141354],"about_ca_topic_score_codex":0.00004236097,"about_ca_topic_score_gemma":0.0000052317073,"teacher_disagreement_score":0.81231433,"about_ca_system_score_codex":0.00012752085,"about_ca_system_score_gemma":0.0000109365465,"threshold_uncertainty_score":0.9999651},"labels":[],"label_agreement":null},{"id":"W2021496169","doi":"10.1097/wnr.0b013e328013cea9","title":"Brain response to birdsongs in bird experts","year":2007,"lang":"en","type":"article","venue":"Neuroreport","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"International Laboratory for Brain, Music and Sound Research; McGill University; Université de Montréal","funders":"","keywords":"N100; Electroencephalography; Audiology; Psychology; Contrast (vision); Event-related potential; Cognitive psychology; Neural correlates of consciousness; Tone (literature); Auditory perception; Task (project management); Perception; Auditory stimuli; Cognition; Communication; Neuroscience; Computer science; Artificial intelligence; Medicine","score_opus":0.03114073996810861,"score_gpt":0.3010493496612902,"score_spread":0.2699086096931816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021496169","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99083865,0.0000019795555,0.00024463717,0.005323254,0.0008990139,0.00029409202,0.0000014998736,0.00026510216,0.002131747],"genre_scores_gemma":[0.98173374,0.0000016919876,0.0000676104,0.01569203,0.000072494724,0.000013683417,3.918916e-7,0.00004779146,0.0023705503],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980691,0.00011836505,0.00041004908,0.0006053344,0.00037293174,0.00042422523],"domain_scores_gemma":[0.99870574,0.0006182631,0.00008951628,0.0003840805,0.000022596847,0.00017981301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000979933,0.00014981347,0.00014617604,0.0003711371,0.000072525196,0.00004543538,0.0001794502,0.00006041916,0.000036091646],"category_scores_gemma":[0.0035868827,0.00013969319,0.00005678586,0.0008375877,0.00004001048,0.00015208324,0.00008968887,0.0001557775,0.000116460964],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006431371,0.000063767286,0.008662121,0.000002289579,3.292683e-7,0.0029749891,0.00014786751,0.000033214368,0.9809761,0.00016882544,0.0022873287,0.0040400135],"study_design_scores_gemma":[0.0006170746,0.0005884616,0.38425428,0.00002107738,0.000002038419,0.0009449682,0.000058655358,0.00034995476,0.4723438,0.00045148327,0.13995017,0.0004180253],"about_ca_topic_score_codex":0.00006221447,"about_ca_topic_score_gemma":0.0001335854,"teacher_disagreement_score":0.5086323,"about_ca_system_score_codex":0.00005715514,"about_ca_system_score_gemma":0.000044499895,"threshold_uncertainty_score":0.56965226},"labels":[],"label_agreement":null},{"id":"W2021546436","doi":"10.1016/j.brs.2012.03.005","title":"Stimulating the brain to study social interactions and empathy","year":2012,"lang":"en","type":"review","venue":"Brain stimulation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":67,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Centre for Interdisciplinary Research in Rehabilitation","funders":"Canadian Institutes of Health Research","keywords":"Empathy; Mentalization; Psychology; Perspective (graphical); Process (computing); Theory of mind; Neuroscience; Cognition; Cognitive psychology; Cognitive science; Social neuroscience; Social cognition; Perspective-taking; Social psychology; Computer science; Artificial intelligence","score_opus":0.14875086429811463,"score_gpt":0.402067381170043,"score_spread":0.25331651687192835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021546436","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10261892,0.82876164,0.008564192,0.013719503,0.009966951,0.03161009,0.00048389455,0.0013765828,0.0028982474],"genre_scores_gemma":[0.8910237,0.09297356,0.00026724787,0.005906814,0.0044152658,0.00092447747,0.00018574193,0.00039124893,0.003911955],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972331,0.0008836859,0.0005700526,0.00061607716,0.0003578987,0.00033919635],"domain_scores_gemma":[0.99578637,0.0034244005,0.00034101354,0.00030576027,0.000039403956,0.00010306584],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00067384815,0.00038304963,0.00060791225,0.00022958465,0.0009101023,0.00023515646,0.00024003253,0.00012370659,0.000056022218],"category_scores_gemma":[0.0012832973,0.0002691678,0.00018526873,0.0006815266,0.00004983908,0.0002726017,0.00024535225,0.0004738646,0.00009596005],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010319425,0.00011349871,0.00002342826,0.00024239373,0.000018105464,0.0000029814091,0.0014395703,0.00014754487,0.000113008726,0.00045706963,0.00041031325,0.9970218],"study_design_scores_gemma":[0.0004780923,0.00029956226,0.0021283843,0.0005248424,0.0005007496,0.00006124454,0.00024249926,0.006959049,0.0000029737384,0.00026424418,0.98784846,0.0006899216],"about_ca_topic_score_codex":0.000016595082,"about_ca_topic_score_gemma":0.00002071584,"teacher_disagreement_score":0.9963319,"about_ca_system_score_codex":0.00010524638,"about_ca_system_score_gemma":0.000038180835,"threshold_uncertainty_score":0.99997604},"labels":[],"label_agreement":null},{"id":"W2021614979","doi":"10.1038/npre.2011.5583.1","title":"Dynamical Mean Field approximation of a canonical cortical model for studying inter-population synchrony","year":2011,"lang":"en","type":"preprint","venue":"Nature Precedings","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Neocortex; Visual cortex; Population; Synchronization (alternating current); Ordinary differential equation; Dynamical systems theory; Statistical physics; Stochastic differential equation; Neuroscience; Differential equation; Computer science; Physics; Mathematics; Mathematical analysis; Topology (electrical circuits); Combinatorics; Psychology; Quantum mechanics","score_opus":0.045180339322603354,"score_gpt":0.30486004729495175,"score_spread":0.2596797079723484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021614979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8073751,0.000022760154,0.18834181,0.00038686075,0.0016057108,0.0013911157,0.00007636144,0.00012734589,0.0006729758],"genre_scores_gemma":[0.99473286,0.000014589419,0.0043823095,0.000349742,0.00015060244,0.00013583993,0.00008738233,0.000041970266,0.00010473496],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977935,0.000081841135,0.00058533734,0.0008467337,0.00038970995,0.00030285344],"domain_scores_gemma":[0.9984217,0.0005583236,0.0004200883,0.00035341282,0.00015447284,0.00009199993],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00035589954,0.00029978712,0.00044981277,0.00016271479,0.00010907121,0.00006239811,0.0004276828,0.0011097657,0.000015401005],"category_scores_gemma":[0.0018155177,0.00027361716,0.00025093876,0.00012421753,0.00006214858,0.00015446391,0.00050472055,0.0019908012,0.0000011608555],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003415982,0.0014004976,0.0036677103,0.00403074,0.00018652019,0.000008866336,0.004979909,0.015930617,0.7008698,0.22758515,0.0017121604,0.036212027],"study_design_scores_gemma":[0.00032645444,0.0001892513,0.00050037535,0.00022117939,0.00008399994,0.0000059717418,0.000013104349,0.95056725,0.020895729,0.026916951,0.000008663027,0.0002710802],"about_ca_topic_score_codex":0.00005286207,"about_ca_topic_score_gemma":0.00007199735,"teacher_disagreement_score":0.93463665,"about_ca_system_score_codex":0.00017174102,"about_ca_system_score_gemma":0.00007309832,"threshold_uncertainty_score":0.9999716},"labels":[],"label_agreement":null},{"id":"W2021618644","doi":"10.1155/2013/675818","title":"A Small Morris-Lecar Neuron Network Gets Close to Critical Only in the Small-World Regimen","year":2013,"lang":"en","type":"article","venue":"Journal of Complex Systems","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of British Columbia","keywords":"Topology (electrical circuits); Small-world network; Network topology; Scaling; Observable; Branching (polymer chemistry); Statistical physics; Power law; Scaling law; Relation (database); Branching process; Physics; Computer science; Neuroscience; Mathematics; Complex network; Biology; Quantum mechanics; Geometry; Combinatorics","score_opus":0.07841352706733112,"score_gpt":0.28520537636151677,"score_spread":0.20679184929418565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021618644","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98263776,0.00014061929,0.000894599,0.0088387905,0.0025750303,0.0007194174,0.000004014108,0.00002270597,0.004167072],"genre_scores_gemma":[0.9936845,0.00001168066,0.00020104327,0.004289757,0.0011000411,0.0000167968,4.5003407e-7,0.000023095012,0.00067267613],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972683,0.00077579997,0.00076694135,0.000256058,0.00047566256,0.0004572317],"domain_scores_gemma":[0.9979948,0.0010434613,0.00029912966,0.00032091432,0.00015303513,0.00018870765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008072228,0.00018551337,0.00037332939,0.00020493304,0.00015238997,0.00036441453,0.00066099444,0.00004758134,0.000032421107],"category_scores_gemma":[0.0005186305,0.00012141515,0.00013401623,0.00045709714,0.00005854489,0.00018854775,0.00007976336,0.00048043867,0.000073222494],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010826193,0.0016169925,0.013397181,0.0005824755,0.00007923573,0.0036640968,0.0032918116,0.040280644,0.4677513,0.1862733,0.26571208,0.016268281],"study_design_scores_gemma":[0.0040326025,0.0062385052,0.30257627,0.0018138296,0.00016287105,0.011893459,0.0013956822,0.22452845,0.0008243613,0.020948825,0.42374104,0.0018441048],"about_ca_topic_score_codex":0.00020250569,"about_ca_topic_score_gemma":0.00019987267,"teacher_disagreement_score":0.46692693,"about_ca_system_score_codex":0.000070637965,"about_ca_system_score_gemma":0.000055339486,"threshold_uncertainty_score":0.4951166},"labels":[],"label_agreement":null},{"id":"W2021673356","doi":"10.1121/1.4809280","title":"Revisiting the Fano factor in peripheral neurons","year":2004,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Variance (accounting); Poisson distribution; Spike (software development); Gaussian; Poisson process; Fano factor; Spike train; Computer science; Homogeneous; Statistical physics; Statistics; Econometrics; Mathematics; Physics; Economics; Telecommunications","score_opus":0.02081471221187041,"score_gpt":0.2605886907988652,"score_spread":0.23977397858699478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021673356","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90806144,0.00007328272,0.03138336,0.05962024,0.00046922418,0.00018187297,0.000008892886,0.000010234717,0.0001914477],"genre_scores_gemma":[0.99252903,0.00024806175,0.0008254652,0.0061128214,0.00021761816,5.0506463e-7,3.830521e-8,0.0000103348475,0.000056135654],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998695,0.00023526873,0.00034645642,0.00009111681,0.0004177091,0.00021445828],"domain_scores_gemma":[0.99855655,0.0007624683,0.0003684046,0.00022474494,0.00004580472,0.000042036652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033590905,0.000102173835,0.0001846579,0.000009859249,0.00025346383,0.00002788854,0.0006630597,0.00003205192,0.000028126657],"category_scores_gemma":[0.0007261052,0.00004232096,0.00030510448,0.00034784328,0.00053054525,0.00008987759,0.00014586531,0.00063662225,0.0000021224528],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000105301406,0.00008879031,0.00031018027,0.000021957716,0.000018958382,0.0000043562964,0.0014189009,0.06756652,0.9077159,0.00010120796,0.0007846223,0.021863276],"study_design_scores_gemma":[0.0050474447,0.0024458885,0.1257762,0.0009110753,0.00058542995,0.0017989589,0.010546147,0.7394099,0.0759406,0.022871697,0.013535165,0.0011314929],"about_ca_topic_score_codex":0.000033971763,"about_ca_topic_score_gemma":4.6879003e-7,"teacher_disagreement_score":0.8317753,"about_ca_system_score_codex":0.00007513103,"about_ca_system_score_gemma":0.00006131027,"threshold_uncertainty_score":0.2765842},"labels":[],"label_agreement":null},{"id":"W2021684891","doi":"10.1016/j.heares.2012.11.006","title":"Effects of passive, moderate-level sound exposure on the mature auditory cortex: Spectral edges, spectrotemporal density, and real-world noise","year":2012,"lang":"en","type":"article","venue":"Hearing Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Health Solutions","keywords":"Auditory cortex; Stimulus (psychology); White noise; Acoustics; Audiology; Noise (video); Physics; Spectral density; Inferior colliculus; Cutoff; Psychology; Mathematics; Neuroscience; Medicine; Computer science; Statistics","score_opus":0.10490022167603905,"score_gpt":0.3313339950245394,"score_spread":0.22643377334850037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021684891","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99525,0.000040894727,0.000025324754,0.00087781093,0.0005623428,0.0005398288,0.0000056993717,0.0000349497,0.002663179],"genre_scores_gemma":[0.99672407,0.00008040876,0.000036742218,0.00014349593,0.000594895,0.000024714907,0.0000015370266,0.000027251595,0.0023668695],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99756795,0.0004727285,0.000170152,0.00037926302,0.00076435413,0.00064555864],"domain_scores_gemma":[0.99792695,0.0014210001,0.00006316797,0.0003437888,0.000079011574,0.00016605535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007742385,0.00015599935,0.0001933554,0.00020230308,0.0004915822,0.00012374188,0.00020825218,0.00008677633,0.00001912457],"category_scores_gemma":[0.00043868634,0.000108723725,0.000054196393,0.0004163284,0.00029526307,0.0001723521,0.00023067773,0.000917109,0.000031743486],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003170223,0.00017966103,0.017106201,0.00015242732,0.000007740094,0.00003710628,0.00025065773,0.000010637709,0.9597898,0.018863872,0.002813233,0.00047162306],"study_design_scores_gemma":[0.0002802944,0.0002544821,0.61955166,0.00006936818,0.000005513523,0.000019196905,0.000027678594,0.000533675,0.37494907,0.0040343944,0.00014834633,0.00012632816],"about_ca_topic_score_codex":0.00022746265,"about_ca_topic_score_gemma":0.00012883439,"teacher_disagreement_score":0.6024455,"about_ca_system_score_codex":0.00010408908,"about_ca_system_score_gemma":0.000052516316,"threshold_uncertainty_score":0.44336247},"labels":[],"label_agreement":null},{"id":"W2021687531","doi":"10.1016/s0893-6080(00)00059-9","title":"Towards a network theory of cognition","year":2000,"lang":"en","type":"review","venue":"Neural Networks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":512,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital","funders":"","keywords":"Cognition; Cognitive science; Neurocognitive; Computer science; Context (archaeology); Property (philosophy); Neuroscience; Bridge (graph theory); Neurophysiology; Function (biology); Artificial intelligence; Psychology; Cognitive psychology; Epistemology","score_opus":0.05621947436377445,"score_gpt":0.2954627494997851,"score_spread":0.23924327513601068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021687531","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000016242637,0.9884316,0.0005161368,0.000014779537,0.0018904492,0.00084973755,0.000054479566,0.00014076431,0.008085842],"genre_scores_gemma":[0.0010945495,0.9962372,0.000020879936,0.00049809634,0.001284082,0.00006948981,0.000109175846,0.00008930927,0.00059722713],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99680656,0.0008253137,0.0007758307,0.00070639706,0.00032537902,0.00056054175],"domain_scores_gemma":[0.9980146,0.00084807264,0.000545256,0.0004471226,0.0000306568,0.00011429243],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00029515458,0.000513667,0.0013490493,0.000117670774,0.00015627744,0.00006281702,0.00046790385,0.0004506268,0.00039232135],"category_scores_gemma":[0.00011048855,0.00039520554,0.00071104814,0.0008757488,0.00017955663,0.00012642649,0.00011721863,0.0008556099,0.000044183507],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040006118,0.00003199474,1.1315944e-7,0.000859523,0.000016093776,0.000027018492,0.0000029358155,0.0019207752,0.0000017236868,0.001897704,0.0010169568,0.99418515],"study_design_scores_gemma":[0.0001913768,0.00021093494,0.0000019614565,0.0037995917,0.00060118845,0.0001931651,9.2953337e-7,0.018080354,0.00000442026,0.0036677418,0.9726912,0.0005571361],"about_ca_topic_score_codex":0.000002178403,"about_ca_topic_score_gemma":0.0000014431329,"teacher_disagreement_score":0.993628,"about_ca_system_score_codex":0.000034535293,"about_ca_system_score_gemma":0.000047375517,"threshold_uncertainty_score":0.99985},"labels":[],"label_agreement":null},{"id":"W2022136730","doi":"10.1038/nrn1325","title":"Neocortical cell classes are flexible entities","year":2004,"lang":"en","type":"review","venue":"Nature reviews. Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":142,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Neuroscience; Bursting; Neocortex; Biology; Cell type; Neuron; Electrophysiology; Cerebral cortex; Stimulus (psychology); Nerve net; Psychology; Cell","score_opus":0.08432211803176813,"score_gpt":0.3605248206772633,"score_spread":0.2762027026454952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022136730","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000052528685,0.98924243,0.00011879603,0.0001283405,0.0052104956,0.0020351238,0.00009395473,0.0002701834,0.002895418],"genre_scores_gemma":[0.00009319206,0.9914201,0.00008864943,0.002967342,0.00034286655,0.00020020209,0.000013124572,0.000102229984,0.004772322],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9936193,0.0007044055,0.0012722372,0.00230567,0.001084486,0.001013897],"domain_scores_gemma":[0.9965857,0.0005199411,0.0012570993,0.0012193774,0.000066617984,0.00035125608],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0005001133,0.0010433675,0.002516184,0.00043213923,0.0005294525,0.0005532827,0.001954894,0.0008714518,0.000065164204],"category_scores_gemma":[0.0031898695,0.0007358359,0.0012061408,0.0027476132,0.00057534414,0.00058263773,0.0004847258,0.0033144879,0.0005964164],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000060444504,0.0003460721,0.0000031979794,0.049398668,0.0000023739383,0.00035363584,0.000010427509,0.000007241985,0.0017555498,0.0097624175,0.0042600366,0.9340943],"study_design_scores_gemma":[0.000095906726,0.00010994702,0.0000055041874,0.011249178,0.00017705584,0.00032650382,0.0000011967039,0.000017983535,0.00028261862,0.0003527752,0.9866858,0.00069552887],"about_ca_topic_score_codex":0.0000028310367,"about_ca_topic_score_gemma":0.0000023592977,"teacher_disagreement_score":0.98242575,"about_ca_system_score_codex":0.00025101943,"about_ca_system_score_gemma":0.0005695483,"threshold_uncertainty_score":0.9995093},"labels":[],"label_agreement":null},{"id":"W2022443216","doi":"10.1016/s0166-4328(03)00065-2","title":"Orienting and defensive behaviors elicited by superior colliculus stimulation in rats: effects of 5-HT depletion, uptake inhibition, and direct midbrain or frontal cortex application","year":2003,"lang":"en","type":"article","venue":"Behavioural Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stimulation; Superior colliculus; Serotonergic; Midbrain; Serotonin; Chemistry; Neuroscience; 5-HT receptor; Inhibitory postsynaptic potential; Psychology; Microdialysis; Orienting response; Endocrinology; Internal medicine; Dopamine; Receptor; Central nervous system; Habituation; Medicine","score_opus":0.033999479235234345,"score_gpt":0.3174061550548544,"score_spread":0.2834066758196201,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022443216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976294,0.00008799451,0.00013797358,0.00027263112,0.00008155032,0.0016496859,0.000050789124,0.000055741115,0.000034228862],"genre_scores_gemma":[0.99911773,0.000044979624,0.00012035481,0.00013369627,0.000012684873,0.0002042157,0.000068014524,0.000039800998,0.000258506],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9970428,0.00073829346,0.00045905128,0.000700482,0.0005959899,0.00046337995],"domain_scores_gemma":[0.9979196,0.0013573968,0.00012469654,0.00021221029,0.00023485364,0.00015122713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093688484,0.00020271441,0.0002745569,0.0003655036,0.00030038616,0.00011145263,0.000088165834,0.00015143809,0.000014710892],"category_scores_gemma":[0.0029904086,0.00018319061,0.000038566854,0.0010897827,0.0003270922,0.00030424053,0.00008052907,0.00034170336,0.0000023492858],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011841815,0.00015573471,0.090332195,0.00004907853,0.000001743791,0.000031300144,0.00027504444,0.00000490567,0.9066798,0.00036598684,0.00026316577,0.0017226257],"study_design_scores_gemma":[0.0024413583,0.0007290691,0.66266245,0.00014181397,0.000023892131,0.00008051908,0.00047693425,0.0039592944,0.32854438,0.00019259633,0.00038061303,0.0003670904],"about_ca_topic_score_codex":0.0005642599,"about_ca_topic_score_gemma":0.00038385965,"teacher_disagreement_score":0.57813543,"about_ca_system_score_codex":0.00013217673,"about_ca_system_score_gemma":0.000065420485,"threshold_uncertainty_score":0.7470296},"labels":[],"label_agreement":null},{"id":"W2022542849","doi":"10.1016/j.brainres.2007.07.049","title":"Ultrasonic evoked responses in rat cochlear nucleus","year":2007,"lang":"en","type":"article","venue":"Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"ADD Centre","funders":"National Institutes of Health; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Peking University; Fok Ying Tong Education Foundation; National Natural Science Foundation of China","keywords":"Brainstem; Cochlear nucleus; Electrophysiology; Audiology; Auditory brainstem response; Neuroscience; Evoked potential; Nucleus; Auditory system; Auditory pathways; Anatomy; Biology; Medicine; Hearing loss","score_opus":0.10468232281500045,"score_gpt":0.39409707723013493,"score_spread":0.2894147544151345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022542849","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9829742,0.00003021359,0.00004450518,0.0045571546,0.00026641408,0.00039109844,0.000006406104,0.00006976227,0.011660262],"genre_scores_gemma":[0.97997916,0.000050129554,0.000052401538,0.0009711139,0.00009777559,0.000013214593,0.0000018927883,0.000027207909,0.018807106],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9966209,0.0008122835,0.00025838605,0.0005390277,0.00088530587,0.0008840943],"domain_scores_gemma":[0.99295825,0.0064064986,0.000031938747,0.00036953035,0.00007879141,0.0001549691],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005155571,0.00011490301,0.00013435935,0.00061830226,0.00026562082,0.000118871096,0.00041099693,0.00010251784,0.00020170074],"category_scores_gemma":[0.011360143,0.00010488103,0.000050491617,0.0015714904,0.0002952827,0.00016535645,0.00013605994,0.00073736283,0.00044811916],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063264294,0.00009889121,0.001098529,0.000011882245,8.1787095e-7,0.00030496513,0.00013685598,0.000010205119,0.9765604,0.008741505,0.004611341,0.0077919387],"study_design_scores_gemma":[0.0022912265,0.0010360804,0.09437027,0.000105804895,0.0000018484055,0.00014519064,0.0006207345,0.0038342918,0.72345185,0.009017757,0.16458781,0.00053712295],"about_ca_topic_score_codex":0.00010209735,"about_ca_topic_score_gemma":0.0002450448,"teacher_disagreement_score":0.25310856,"about_ca_system_score_codex":0.00016816087,"about_ca_system_score_gemma":0.00011160629,"threshold_uncertainty_score":0.9969676},"labels":[],"label_agreement":null},{"id":"W2022790209","doi":"10.1152/jn.00282.2009","title":"SK Channels Gate Information Processing In Vivo by Regulating an Intrinsic Bursting Mechanism Seen In Vitro","year":2009,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research","keywords":"Bursting; Neuroscience; Dendritic spike; Depolarization; Calcium imaging; Afterhyperpolarization; In vivo; Soma; Hippocampal formation; Electrophysiology; Biophysics; Apical dendrite; Chemistry; Biology; Calcium; Excitatory postsynaptic potential; Inhibitory postsynaptic potential","score_opus":0.016534682743858563,"score_gpt":0.24711927176393458,"score_spread":0.23058458902007603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022790209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986569,0.0000034498555,0.0003247154,0.00048510326,0.00035022869,0.000099801895,0.0000020454647,0.000015598378,0.000062135674],"genre_scores_gemma":[0.9978221,0.000017892857,0.00017188131,0.0018350595,0.00013069445,0.0000010301843,0.0000014389886,0.000008589815,0.0000113291735],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985759,0.00020430451,0.00060466497,0.00016920714,0.00017757712,0.0002683022],"domain_scores_gemma":[0.9991677,0.00007060327,0.0005522637,0.00008951451,0.000059783026,0.000060129412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013879348,0.00012963172,0.00025623766,0.0003447393,0.000076495184,0.00006211532,0.0001910135,0.000067269,0.0000032503567],"category_scores_gemma":[0.00036099166,0.000113508235,0.000041630745,0.00041514248,0.00002614901,0.0012948727,0.00003093771,0.00041514152,0.0000018328658],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019606244,0.00005089887,0.0000030243805,0.000009491874,3.028075e-7,0.000039249542,0.00017110021,0.006465316,0.9647944,0.00012052628,0.0000037850032,0.028145865],"study_design_scores_gemma":[0.0017413546,0.002526322,0.0064684246,0.00013880202,0.000008062074,0.0005083492,0.00010821607,0.37156034,0.59970975,0.01673128,0.0001575286,0.0003416014],"about_ca_topic_score_codex":0.0000062333997,"about_ca_topic_score_gemma":4.1465356e-7,"teacher_disagreement_score":0.36509502,"about_ca_system_score_codex":0.000052338135,"about_ca_system_score_gemma":0.00003148581,"threshold_uncertainty_score":0.46287313},"labels":[],"label_agreement":null},{"id":"W2023008162","doi":"10.1002/hipo.20493","title":"Inhibition dominates in shaping spontaneous CA3 hippocampal network activities in vitro","year":2008,"lang":"en","type":"article","venue":"Hippocampus","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Inhibitory postsynaptic potential; Excitatory postsynaptic potential; Neuroscience; Interneuron; Hippocampal formation; Local field potential; Postsynaptic potential; Conductance; Population; Chemistry; Biology; Physics; Medicine; Biochemistry; Receptor","score_opus":0.027594655905530337,"score_gpt":0.23527195991044222,"score_spread":0.20767730400491188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023008162","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996883,0.00007900328,0.00004624615,0.00018060264,0.00067912467,0.0002967429,0.0000074030595,0.000092698196,0.0017352088],"genre_scores_gemma":[0.99840796,0.00012030714,0.00011186155,0.00087239133,0.00017995741,0.00004069315,0.000011142847,0.000029029701,0.00022662863],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99809337,0.00021305839,0.00034023324,0.0005141882,0.00026403653,0.0005751216],"domain_scores_gemma":[0.999173,0.0004409577,0.00010619476,0.00019488497,0.000012437443,0.0000725206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022915321,0.00022226738,0.0002782522,0.00023674812,0.00019644953,0.000042708907,0.0001272714,0.00012292502,0.000044427685],"category_scores_gemma":[0.00020334832,0.00022733622,0.0000704029,0.00056048523,0.00014711014,0.0003404769,0.0000716868,0.0003923635,0.000047029305],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00081995805,0.00019582396,0.0024393334,0.00003481648,0.0000022994734,0.008344305,0.0009837482,0.003880293,0.9631027,0.0005912022,0.00018451444,0.019421026],"study_design_scores_gemma":[0.009743377,0.0010832074,0.06753897,0.0009023624,0.00003135895,0.024714908,0.0010775563,0.12259151,0.6654777,0.101486556,0.001878566,0.0034739291],"about_ca_topic_score_codex":0.00010497036,"about_ca_topic_score_gemma":0.00022409095,"teacher_disagreement_score":0.29762498,"about_ca_system_score_codex":0.00020915623,"about_ca_system_score_gemma":0.000052431034,"threshold_uncertainty_score":0.92705023},"labels":[],"label_agreement":null},{"id":"W2023342037","doi":"10.1080/09540091.2011.571761","title":"Neural representations of compositional structures: representing and manipulating vector spaces with spiking neurons","year":2011,"lang":"en","type":"article","venue":"Connection Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Computer science; Artificial neural network; Set (abstract data type); Representation (politics); Artificial intelligence; Stimulus (psychology); Focus (optics); Vector space; Theoretical computer science; Cognitive science; Cognitive psychology; Psychology; Mathematics","score_opus":0.07917511332784438,"score_gpt":0.2972848507964682,"score_spread":0.21810973746862383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023342037","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99448717,0.0000043018727,0.0022397977,0.00011954693,0.0003294725,0.00014147254,0.0000034653413,0.000052515315,0.0026222835],"genre_scores_gemma":[0.9988233,0.0000020187906,0.0009918207,0.000098860175,0.000034386427,0.000004876322,7.7428024e-7,0.0000072565254,0.00003670226],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987377,0.000054077133,0.00018554396,0.00048611115,0.0003467029,0.0001898606],"domain_scores_gemma":[0.99924636,0.00020359734,0.00019154405,0.0001903071,0.00010009291,0.00006810326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018010348,0.00009138672,0.00009613614,0.00018003973,0.0005972269,0.00010680948,0.0001554486,0.000018090946,0.000033108343],"category_scores_gemma":[0.0004934089,0.000076091164,0.000022486403,0.0007284422,0.0005954514,0.0006621717,0.000097373246,0.000106932814,9.3259416e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030841387,0.000016778042,0.023632113,0.000009085826,0.0000012724387,0.000006351121,0.00033587136,0.0006239169,0.95095795,0.023591341,0.0000026563455,0.00079179043],"study_design_scores_gemma":[0.00030002228,0.00022230514,0.49073195,0.000029341794,0.000013035861,0.00035121056,0.0004881371,0.075442925,0.4301764,0.002051826,0.000011961985,0.00018087271],"about_ca_topic_score_codex":0.00010536436,"about_ca_topic_score_gemma":0.000015586604,"teacher_disagreement_score":0.5207816,"about_ca_system_score_codex":0.000015266362,"about_ca_system_score_gemma":0.00003072072,"threshold_uncertainty_score":0.45934469},"labels":[],"label_agreement":null},{"id":"W2023841961","doi":"10.1080/00207450500505373","title":"VISUALIZATION IN THE NEUROSCIENCES: SEEING ABSTRACTIONS IN REAL TIME","year":2006,"lang":"en","type":"review","venue":"International Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"New York Institute of Technology","funders":"","keywords":"Visualization; Computer science; Human–computer interaction; Feature (linguistics); Data visualization; Element (criminal law); Information visualization; Data science; Artificial intelligence; Information retrieval","score_opus":0.0932384028739299,"score_gpt":0.3976314214114072,"score_spread":0.30439301853747736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023841961","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07994869,0.69077015,0.00260587,0.0076880837,0.17933188,0.008336197,0.0006647668,0.00041707454,0.030237282],"genre_scores_gemma":[0.00916582,0.9891714,0.000022247033,0.0007722134,0.00036948657,0.00001328621,0.000004988856,0.00002676626,0.00045380037],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99598575,0.00055910303,0.0012359286,0.00048433486,0.0014334628,0.00030140014],"domain_scores_gemma":[0.99753034,0.00089685305,0.0012217199,0.00019527359,0.00010415539,0.000051669915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009999602,0.00026196058,0.000508489,0.001187771,0.000111983936,0.00042236506,0.002148483,0.00010094121,0.00000627588],"category_scores_gemma":[0.0012099519,0.00017576186,0.00026538796,0.0015040133,0.00021496504,0.0011459028,0.00008369005,0.0007201054,0.000020034871],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010754771,0.0032723835,0.00039362654,0.0009538452,0.000011316935,0.011149021,0.00043371957,0.004774204,0.19818497,0.014314734,0.0025618707,0.76384276],"study_design_scores_gemma":[0.0004151031,0.00028472036,0.0035181432,0.0023992031,0.000044670924,0.004880642,0.000020826013,0.0060515804,0.00003576128,0.0005461717,0.98134595,0.00045720956],"about_ca_topic_score_codex":0.000036511952,"about_ca_topic_score_gemma":0.000020143147,"teacher_disagreement_score":0.9787841,"about_ca_system_score_codex":0.0002156826,"about_ca_system_score_gemma":0.0003054572,"threshold_uncertainty_score":0.7167361},"labels":[],"label_agreement":null},{"id":"W2024051599","doi":"10.1016/s0091-3057(01)00615-3","title":"The related roles of dopamine and glutamate in the initiation of 50-kHz ultrasonic calls in adult rats","year":2001,"lang":"en","type":"article","venue":"Pharmacology Biochemistry and Behavior","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":126,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Dopamine; Amphetamine; Glutamate receptor; Dopaminergic; Haloperidol; Antagonist; Endocrinology; Internal medicine; Chemistry; Medicine; Neuroscience; Anesthesia; Psychology; Receptor","score_opus":0.016054919565719774,"score_gpt":0.2871474923217392,"score_spread":0.27109257275601945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024051599","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989681,0.00013344667,6.857638e-7,0.0005786699,0.000072973315,0.00016849392,0.000011793825,0.0000052026985,0.00006062885],"genre_scores_gemma":[0.99849975,0.001256909,0.0000021610326,0.0001431496,0.000011871964,0.000022667473,0.0000044606145,0.0000035133282,0.00005548999],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993118,0.00009915258,0.0002279016,0.00016313604,0.00007395761,0.00012405787],"domain_scores_gemma":[0.99950355,0.00027940524,0.00011011975,0.000066979825,0.00002136728,0.000018600005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019692483,0.00007581294,0.00009664497,0.000027620836,0.00005855456,0.000008533743,0.00010048549,0.000067192035,0.000011039316],"category_scores_gemma":[0.00007626457,0.00004899757,0.000016411646,0.00017246285,0.00021983784,0.000046823883,0.000025875463,0.00016484223,2.6726246e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082208615,0.00014773363,0.01763879,0.000017335477,0.0000012570002,0.000015466981,0.000100457575,0.000005031981,0.9794477,0.000023098679,0.00001010776,0.0025107863],"study_design_scores_gemma":[0.00066537905,0.00005825887,0.040554985,0.000013376841,0.000031505842,0.00008691969,0.00012970027,0.00044555948,0.95789737,0.000036908546,0.000026871941,0.000053185166],"about_ca_topic_score_codex":0.00001571291,"about_ca_topic_score_gemma":0.000019357174,"teacher_disagreement_score":0.022916196,"about_ca_system_score_codex":0.0000096187705,"about_ca_system_score_gemma":0.000013209796,"threshold_uncertainty_score":0.19980629},"labels":[],"label_agreement":null},{"id":"W2024217092","doi":"10.1007/s10439-007-9392-9","title":"The Power Law of Sensory Adaptation: Simulation by a Model of Excitability in Spider Mechanoreceptor Neurons","year":2007,"lang":"en","type":"article","venue":"Annals of Biomedical Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Adaptation (eye); Mechanoreceptor; Sensory Adaptation; Sensory system; Neuroscience; Action (physics); Noise (video); Power law; Physics; Stimulation; Biological system; Communication; Computer science; Control theory (sociology); Mathematics; Biology; Artificial intelligence; Psychology; Quantum mechanics","score_opus":0.05703004910795625,"score_gpt":0.2927596050274511,"score_spread":0.23572955591949482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024217092","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90559924,0.000030321882,0.09350012,0.00046419146,0.00017021902,0.00011436054,0.000029455372,0.000014844736,0.0000772591],"genre_scores_gemma":[0.99966305,0.000014080436,0.00017372452,0.000116603675,0.00001022737,0.0000015030869,0.0000016858511,0.000007397845,0.000011736609],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989885,0.00002563587,0.0003932225,0.00013767404,0.0002941328,0.0001608289],"domain_scores_gemma":[0.99891365,0.0007507227,0.00009885227,0.00012966518,0.000054423224,0.000052671963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054620526,0.000071214665,0.0001296358,0.0000711371,0.000020788277,0.0000032713115,0.00009639062,0.000055915672,0.0000067997203],"category_scores_gemma":[0.00093360513,0.000055653585,0.000053779357,0.0002641289,0.00012946606,0.000078273224,0.000026574724,0.00009512399,3.2270202e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003770576,0.00008085211,0.0000054785733,0.000029079347,0.0000020904488,5.431416e-7,0.00008760818,0.22598404,0.7681627,0.0042634476,0.000013553532,0.0013328936],"study_design_scores_gemma":[0.00008846074,0.00009535711,0.00017921661,0.00001910782,0.0000012972006,3.5274533e-7,0.000019234962,0.86765146,0.13132249,0.0003982736,0.00018048198,0.000044281274],"about_ca_topic_score_codex":0.00002162529,"about_ca_topic_score_gemma":0.0000068520217,"teacher_disagreement_score":0.6416674,"about_ca_system_score_codex":0.0000070534593,"about_ca_system_score_gemma":0.000011783371,"threshold_uncertainty_score":0.22694872},"labels":[],"label_agreement":null},{"id":"W2024416090","doi":"10.1523/jneurosci.3609-14.2015","title":"Stimulus Statistics Shape Oscillations in Nonlinear Recurrent Neural Networks","year":2015,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; European Commission","keywords":"Neuroscience; Stimulus (psychology); Nonlinear system; Nerve net; Rhythm; Artificial neural network; Mechanism (biology); Computer science; Biological neural network; Psychology; Physics; Biology; Artificial intelligence; Cognitive psychology","score_opus":0.07366628264019623,"score_gpt":0.3136957080185836,"score_spread":0.24002942537838737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024416090","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9781132,0.000036675505,0.014766062,0.001060887,0.0056249676,0.00015499939,0.000027111024,0.000020650168,0.00019545144],"genre_scores_gemma":[0.99744016,0.00006528882,0.00089259614,0.001297303,0.00020452817,0.0000010223964,5.932795e-7,0.000012189745,0.00008631873],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979984,0.00017625076,0.0005515098,0.00027708427,0.0006729203,0.00032381606],"domain_scores_gemma":[0.9987332,0.0002781758,0.00039452568,0.0001561918,0.00016910922,0.00026875018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000496351,0.00013649245,0.00020048978,0.00024645994,0.000105653,0.00013116605,0.000425032,0.00003971432,0.000007195296],"category_scores_gemma":[0.002829984,0.000111667134,0.000055639517,0.0009106863,0.00016973297,0.00053736655,0.00009353467,0.00046839475,0.0000044981375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003516754,0.0007111529,0.010914905,0.000016337253,0.0000014372939,0.0013395713,0.00032601153,0.7023888,0.22547674,0.0020802591,0.0037470937,0.052645992],"study_design_scores_gemma":[0.00046335626,0.0006129853,0.010942384,0.000014574412,0.000004540406,0.00035913967,0.000014711084,0.98496777,0.00026369494,0.00034865845,0.0018929709,0.00011520449],"about_ca_topic_score_codex":0.0000035301057,"about_ca_topic_score_gemma":0.00000817999,"teacher_disagreement_score":0.28257895,"about_ca_system_score_codex":0.000083474566,"about_ca_system_score_gemma":0.00013187037,"threshold_uncertainty_score":0.45536536},"labels":[],"label_agreement":null},{"id":"W2024645288","doi":"10.1523/jneurosci.4101-06.2006","title":"Monkey Dorsolateral Prefrontal Cortex Sends Task-Selective Signals Directly to the Superior Colliculus","year":2006,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":145,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Robarts Clinical Trials","funders":"Canadian Institutes of Health Research","keywords":"Superior colliculus; Dorsolateral prefrontal cortex; Neuroscience; Primate; Psychology; Prefrontal cortex; Stimulus (psychology); Dorsolateral; Antisaccade task; Macaque; Midbrain; Cognition; Consumer neuroscience; Saccade; Cognitive psychology; Eye movement; Central nervous system","score_opus":0.01510180929758219,"score_gpt":0.24500996386741902,"score_spread":0.22990815456983682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024645288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940706,0.000017023902,0.00073798274,0.0021570397,0.0019934087,0.00027408067,0.000024068166,0.00002818021,0.0006976225],"genre_scores_gemma":[0.99494225,0.000015943417,0.000060066646,0.003185447,0.00033134807,0.000006871268,2.428105e-7,0.000018036862,0.0014397788],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975595,0.00021619606,0.0005084844,0.0004338312,0.0008257186,0.00045626634],"domain_scores_gemma":[0.99889654,0.00021382302,0.0003500464,0.00021688317,0.00014648688,0.00017624134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036059372,0.0002055675,0.00025174694,0.00018557777,0.00048134194,0.0003177775,0.0007327456,0.00004366036,0.000010702869],"category_scores_gemma":[0.0005108926,0.0001286649,0.00016095067,0.001076793,0.0001878506,0.0006040506,0.00011904174,0.00036952258,0.00001773793],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009853158,0.00009618369,0.0004986641,0.0000020872474,8.621766e-7,0.00011284387,0.00009475501,0.0025010002,0.9944796,0.00010057434,0.0015268298,0.00048807316],"study_design_scores_gemma":[0.0008323654,0.0029040638,0.35401598,0.000048147387,0.00003519899,0.0033856097,0.00005204191,0.026575932,0.5852187,0.0006175674,0.025806632,0.0005077468],"about_ca_topic_score_codex":0.000053470318,"about_ca_topic_score_gemma":0.000038095695,"teacher_disagreement_score":0.4092609,"about_ca_system_score_codex":0.00010310645,"about_ca_system_score_gemma":0.00011281763,"threshold_uncertainty_score":0.52468026},"labels":[],"label_agreement":null},{"id":"W2024918985","doi":"10.1016/j.heares.2010.07.001","title":"Acoustic experience but not attention modifies neural population phase expressed in human primary auditory cortex","year":2010,"lang":"en","type":"article","venue":"Hearing Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Canadian Institutes of Health Research","keywords":"Auditory cortex; Neuroscience; Audiology; Population; Psychology; Medicine","score_opus":0.12896797017636613,"score_gpt":0.40376695340641405,"score_spread":0.2747989832300479,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024918985","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980367,0.0000022465595,0.0000667171,0.00014757348,0.00087400654,0.00036438153,0.000007171804,0.000080136604,0.00042110283],"genre_scores_gemma":[0.99835324,0.000006003981,0.000022617765,0.00008275783,0.00027143196,0.00008208769,0.00001598404,0.000022320659,0.0011435531],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9976216,0.00021779066,0.0002706647,0.00057229283,0.0008108495,0.0005068283],"domain_scores_gemma":[0.99906254,0.00033223405,0.00005477887,0.0003688119,0.000076246906,0.00010536525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063318276,0.00012162709,0.00014043794,0.0003495648,0.00052962627,0.00018437552,0.0002684625,0.0001008631,0.000053563384],"category_scores_gemma":[0.0007231922,0.00012090148,0.000042847172,0.00040075908,0.00020719325,0.00046027338,0.00018735327,0.00097261777,0.00002470118],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008586958,0.00015284574,0.002829672,0.00003592031,4.2008355e-7,0.00003601642,0.00013120928,0.00022434002,0.9941644,0.000263078,0.00005898525,0.00201726],"study_design_scores_gemma":[0.0012476529,0.00025362946,0.6858628,0.000052202162,0.0000022984534,0.000022525004,0.000116241856,0.13356946,0.17788559,0.0006078454,0.000116323485,0.00026345463],"about_ca_topic_score_codex":0.00058588287,"about_ca_topic_score_gemma":0.0001235653,"teacher_disagreement_score":0.81627876,"about_ca_system_score_codex":0.00010468324,"about_ca_system_score_gemma":0.000030544747,"threshold_uncertainty_score":0.49302194},"labels":[],"label_agreement":null},{"id":"W2024930098","doi":"10.1159/000119279","title":"Assessing the Topographic EEG Changes Associated with Aging and Acute/Long-Term Effects of Smoking","year":2008,"lang":"en","type":"article","venue":"Neuropsychobiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre","funders":"","keywords":"Electroencephalography; Medicine; Young adult; Audiology; Nicotine; Pathological; Psychology; Internal medicine; Physiology; Psychiatry","score_opus":0.025428709379576492,"score_gpt":0.279916328934878,"score_spread":0.2544876195553015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024930098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983091,0.000059817026,0.000068339774,0.0005514242,0.00057748554,0.0002036996,0.0000026263024,0.00005924,0.00016830438],"genre_scores_gemma":[0.9980645,0.000270098,0.0000060809016,0.0015342414,0.000036848265,0.000011524287,0.0000030152046,0.000018546649,0.000055110602],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987866,0.0003414533,0.00012921538,0.0003755423,0.00011014308,0.00025699928],"domain_scores_gemma":[0.9986882,0.0008728995,0.00017546806,0.00019885073,0.00002879645,0.00003577411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010146134,0.00014647574,0.00019113184,0.00010194195,0.0003649171,0.00004217552,0.00016202747,0.000067600704,0.0000032661167],"category_scores_gemma":[0.00019110029,0.00009054635,0.00003505192,0.00037555426,0.0005071759,0.00010365973,0.000055489767,0.00024145017,5.855243e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018215163,0.000044700253,0.16461284,0.000017046084,0.00001970964,0.00014392157,0.00012674335,0.00000229819,0.8316829,0.00012914454,0.000014015689,0.003188412],"study_design_scores_gemma":[0.00049550965,0.000509173,0.9750524,0.00005758795,0.000036881516,0.0004438798,0.000005094218,0.00011687093,0.023072189,0.000054044627,0.000037308564,0.00011904559],"about_ca_topic_score_codex":0.000004988691,"about_ca_topic_score_gemma":0.000014580768,"teacher_disagreement_score":0.8104396,"about_ca_system_score_codex":0.0000071751965,"about_ca_system_score_gemma":0.000011916704,"threshold_uncertainty_score":0.3692373},"labels":[],"label_agreement":null},{"id":"W2025014122","doi":"10.1073/pnas.97.4.1841","title":"Columnar distribution of serotonin-dependent plasticity within kitten striate cortex","year":2000,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Hospital and Health Sciences Centre; University of Calgary; University of British Columbia","funders":"","keywords":"Kitten; Neuroscience; Serotonin; Visual cortex; Monocular deprivation; Biology; Cortex (anatomy); Receptor; Neuroplasticity; Ocular dominance; Internal medicine; CATS; Biochemistry; Medicine","score_opus":0.03877275096146764,"score_gpt":0.27996028241763876,"score_spread":0.2411875314561711,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025014122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99666107,0.0000036777951,0.0000021001438,0.0008325686,0.00003416488,0.00023567332,0.000111162524,0.000012037769,0.0021075306],"genre_scores_gemma":[0.99933434,0.00001734,0.00006782351,0.00016475412,0.00003029539,0.0000066684634,2.9331994e-7,0.0000030172162,0.00037549596],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978857,0.000012482585,0.0003971854,0.00028031613,0.0012825427,0.000141765],"domain_scores_gemma":[0.99911684,0.0001618009,0.00052563846,0.000007669812,0.00015440457,0.00003365852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006923213,0.00008825568,0.00014958263,0.00006345764,0.000210232,0.000024410994,0.0006046075,0.000064381216,0.00004761636],"category_scores_gemma":[0.0007636388,0.000061148574,0.00006519967,0.0007255501,0.0007588215,0.00039725986,0.00007571724,0.00015618393,0.0000024321123],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005751567,0.00006216531,0.0016022907,0.000028625482,0.0000031062996,8.241238e-9,0.0000450632,0.0010207057,0.96772903,0.02903492,0.0001235207,0.00029306905],"study_design_scores_gemma":[0.00024007571,0.00012840248,0.11928645,0.00006266454,0.000010737806,0.00001032485,0.00003485061,0.017286187,0.8409632,0.02182381,0.000071806026,0.00008152231],"about_ca_topic_score_codex":0.0000133594785,"about_ca_topic_score_gemma":1.506462e-7,"teacher_disagreement_score":0.12676583,"about_ca_system_score_codex":0.00003736646,"about_ca_system_score_gemma":0.00003242188,"threshold_uncertainty_score":0.27959093},"labels":[],"label_agreement":null},{"id":"W2025039841","doi":"10.1111/j.1460-9568.2006.05295.x","title":"Inactivation of the prelimbic, but not infralimbic, prefrontal cortex impairs the contextual control of response conflict in rats","year":2007,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":137,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; National Alliance for Research on Schizophrenia and Depression","keywords":"Infralimbic cortex; Psychology; Muscimol; Neuroscience; Prefrontal cortex; Anterior cingulate cortex; Stroop effect; Context (archaeology); Cognition; Extinction (optical mineralogy); Task (project management); Cognitive psychology; Agonist; Chemistry; Biology","score_opus":0.029369478464125055,"score_gpt":0.2575367626988668,"score_spread":0.22816728423474172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025039841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962035,0.000016165333,0.0013062209,0.00072031515,0.0010029218,0.0003215716,0.00001758412,0.000007635037,0.0004041294],"genre_scores_gemma":[0.9979299,0.000023194687,0.000010705348,0.0017644534,0.0000507312,6.088478e-7,7.9544556e-8,0.000017278431,0.00020306677],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9957667,0.0018315301,0.0010260962,0.0002677621,0.00080554886,0.00030236266],"domain_scores_gemma":[0.99665713,0.0013412535,0.0013875258,0.00034999967,0.00017605767,0.000088027446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004207932,0.00016352882,0.0002654058,0.00019526854,0.00016407744,0.000046246547,0.0010188224,0.00002586478,0.0000044276658],"category_scores_gemma":[0.0045564775,0.00009456847,0.00016251486,0.0006742294,0.0007849729,0.00039164315,0.00013691199,0.00050245505,0.000001749788],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026156313,0.00011511956,0.0008379467,0.0000055433766,0.0000014644351,0.00007839809,0.00040230507,0.00041339674,0.9942383,0.0002389432,0.000029159197,0.0010237498],"study_design_scores_gemma":[0.0009486172,0.0011113308,0.65615314,0.00004987368,0.000007725216,0.00019783515,0.00011706296,0.0012381236,0.3395243,0.0000134650945,0.00056650705,0.000072044844],"about_ca_topic_score_codex":0.000010266513,"about_ca_topic_score_gemma":0.0000061686706,"teacher_disagreement_score":0.65531516,"about_ca_system_score_codex":0.000053833606,"about_ca_system_score_gemma":0.00012531831,"threshold_uncertainty_score":0.54548585},"labels":[],"label_agreement":null},{"id":"W2025209343","doi":"10.1016/j.neuroimage.2015.01.054","title":"The brain's resting-state activity is shaped by synchronized cross-frequency coupling of neural oscillations","year":2015,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":207,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institutes of Health; National Institute of Biomedical Imaging and Bioengineering; Deutsche Forschungsgemeinschaft","keywords":"Magnetoencephalography; Neurophysiology; Resting state fMRI; Neuroscience; Brain activity and meditation; Functional connectivity; Coupling (piping); Neural activity; Psychology; Electroencephalography; Physics; Materials science","score_opus":0.05270412123012505,"score_gpt":0.3108116113545543,"score_spread":0.25810749012442924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025209343","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934973,0.000030839856,0.00040938062,0.0037036962,0.00067951856,0.00031448176,0.00010599755,0.00012608283,0.0011326928],"genre_scores_gemma":[0.9972669,0.000021899103,0.000028101429,0.0010323493,0.000051876148,0.00001095434,0.0000032840082,0.000034637564,0.0015499997],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99811995,0.0001177948,0.0003307946,0.0005281876,0.00050668314,0.00039659583],"domain_scores_gemma":[0.9977332,0.0011790999,0.0002894201,0.00050228625,0.00015128442,0.00014474336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040868358,0.00019799451,0.00019025858,0.000053398246,0.00051322667,0.00024103784,0.00039408554,0.00004894999,0.000015750724],"category_scores_gemma":[0.0033856921,0.00015279591,0.000096461605,0.0004451097,0.00038415962,0.00044057713,0.00014487037,0.00032826452,0.000024557516],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000872222,0.000041087816,0.0016151188,0.000010132991,0.0000020716157,0.000015716976,0.00007367462,0.0005648278,0.9942073,0.00015797534,0.0021075127,0.0011173179],"study_design_scores_gemma":[0.0018804806,0.0005126231,0.020179763,0.000019657586,0.000018968944,0.00006347771,0.000017575181,0.7937469,0.17683223,0.0029165244,0.0033583397,0.00045347156],"about_ca_topic_score_codex":0.00009515546,"about_ca_topic_score_gemma":0.000015817082,"teacher_disagreement_score":0.8173751,"about_ca_system_score_codex":0.000051449282,"about_ca_system_score_gemma":0.000088120534,"threshold_uncertainty_score":0.6230836},"labels":[],"label_agreement":null},{"id":"W2025245209","doi":"10.1016/j.brainres.2008.05.038","title":"The different stages of visual recognition need different attentional binding strategies","year":2008,"lang":"en","type":"article","venue":"Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":63,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Computer science; Task (project management); Visual processing; Visual cortex; Hierarchy; TRACE (psycholinguistics); Resource (disambiguation); Artificial intelligence; Machine learning; Human–computer interaction; Neuroscience; Perception; Psychology","score_opus":0.1762553987443156,"score_gpt":0.38501931278057056,"score_spread":0.20876391403625497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025245209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99612576,0.000017580245,0.00009231135,0.0022839373,0.0002377541,0.00031387122,0.000030653096,0.00003320405,0.00086493423],"genre_scores_gemma":[0.9963576,0.00022512274,0.000005308352,0.00005068597,0.000095337025,0.00004227144,0.000020768588,0.000015057605,0.003187841],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9972988,0.00062562735,0.00025421416,0.00032429164,0.0010656932,0.00043139377],"domain_scores_gemma":[0.996843,0.002687169,0.000075624426,0.00017818407,0.00013918849,0.00007683017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056373776,0.000119646975,0.000131439,0.00020979166,0.0009618925,0.00013554239,0.00026313457,0.000053980308,0.00009551916],"category_scores_gemma":[0.00092362164,0.00007387277,0.00008792088,0.00038408136,0.0005233667,0.00016467695,0.00015715914,0.00038148873,0.00004209764],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012421054,0.00020027462,0.0023490912,0.000026182062,0.0000070700276,0.000014827212,0.00008798974,0.000007269318,0.98369694,0.0056880238,0.0016013678,0.0061967615],"study_design_scores_gemma":[0.0018662591,0.0019942622,0.34180295,0.0001573633,0.000009394698,0.00009673571,0.0025280428,0.008321097,0.618362,0.022544648,0.001796495,0.00052075565],"about_ca_topic_score_codex":0.00002386235,"about_ca_topic_score_gemma":0.000028195172,"teacher_disagreement_score":0.36533493,"about_ca_system_score_codex":0.000059206406,"about_ca_system_score_gemma":0.00006198881,"threshold_uncertainty_score":0.73981965},"labels":[],"label_agreement":null},{"id":"W2025337040","doi":"10.1523/jneurosci.4212-06.2007","title":"Competitive Integration of Visual and Preparatory Signals in the Superior Colliculus during Saccadic Programming","year":2007,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":156,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Canadian Institutes of Health Research","funders":"Canadian Institutes of Health Research","keywords":"Saccadic masking; Superior colliculus; Saccade; Microstimulation; Neuroscience; Sensory system; Psychology; Saccadic suppression of image displacement; Eye movement; Motor planning; Computer science; Communication; Stimulation","score_opus":0.025459626859970573,"score_gpt":0.30188433269790493,"score_spread":0.2764247058379344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025337040","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99897826,0.000021749813,0.00032919733,0.00011391715,0.0002571354,0.00017210754,0.0000012698038,0.000004370586,0.00012201423],"genre_scores_gemma":[0.9994388,0.00002931093,0.000058772916,0.00041493008,0.000038765094,0.0000013523706,3.5673466e-8,0.000004317846,0.000013713984],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986477,0.0001459545,0.0004158655,0.00017168446,0.00043437898,0.0001843983],"domain_scores_gemma":[0.9991636,0.00032814566,0.0003242738,0.00006842603,0.000061516876,0.000054000604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010135623,0.00008330551,0.00014117062,0.00019701634,0.00012424661,0.000075844044,0.00022591071,0.00002558331,0.0000012399897],"category_scores_gemma":[0.00077476,0.00005394412,0.00004475569,0.0006161072,0.00026526855,0.00037007712,0.0000357673,0.00022761681,2.505951e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000075662145,0.00008991283,0.0016939375,0.000008284862,2.446911e-7,0.000085826185,0.00053018174,0.000067710534,0.99540097,0.00057011703,0.0000014422523,0.0014756868],"study_design_scores_gemma":[0.0005541047,0.0013952152,0.30319795,0.0001103471,0.000008542765,0.0013924049,0.0011258418,0.0032465863,0.6881857,0.000093560164,0.0005664308,0.00012332623],"about_ca_topic_score_codex":0.0000039459264,"about_ca_topic_score_gemma":0.000015748896,"teacher_disagreement_score":0.3072153,"about_ca_system_score_codex":0.000028946524,"about_ca_system_score_gemma":0.00004243012,"threshold_uncertainty_score":0.21997774},"labels":[],"label_agreement":null},{"id":"W2025784553","doi":"10.1016/j.neuroimage.2009.07.019","title":"fMRI activation during spike and wave discharges evoked by photic stimulation","year":2009,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":78,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Bundesministerium für Bildung und Forschung","keywords":"Electroencephalography; Neuroscience; EEG-fMRI; Photic Stimulation; Psychology; Epilepsy; Cortex (anatomy); Thalamus; Stimulation; Intraparietal sulcus; Audiology; Functional magnetic resonance imaging; Medicine; Visual perception","score_opus":0.02200408319566612,"score_gpt":0.24249379946245703,"score_spread":0.2204897162667909,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025784553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967443,0.0000056791187,0.00028938058,0.0015718908,0.00014477507,0.00020329814,0.000008181071,0.000106834676,0.0009257149],"genre_scores_gemma":[0.99803656,0.000026995833,0.00003558189,0.0008978324,0.000051711864,0.000002814094,0.000008718678,0.000013628021,0.0009261519],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99902827,0.000058007,0.00014041406,0.0003960592,0.00018665277,0.00019060854],"domain_scores_gemma":[0.9996106,0.00008609087,0.00007384774,0.00015461954,0.000015153105,0.000059699196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000044673045,0.00012819511,0.00009706818,0.00006783313,0.00019520041,0.00010667881,0.000057631987,0.000036325855,0.000026081187],"category_scores_gemma":[0.00021827909,0.00011843481,0.000027875858,0.00016502952,0.000033681234,0.0004777547,0.000024490351,0.00014282543,0.000011852196],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039565075,0.00004015431,0.00021600691,0.0000075005196,3.9532497e-7,0.000008845077,0.000028166995,0.00004414837,0.99630576,0.00023472201,0.0001614007,0.0029133342],"study_design_scores_gemma":[0.0005879911,0.00019214346,0.20989789,0.000013605021,0.0000069176435,0.0000270653,0.0000049959276,0.030528858,0.75705355,0.001227206,0.00027502188,0.00018474864],"about_ca_topic_score_codex":0.0000035367514,"about_ca_topic_score_gemma":3.7587014e-7,"teacher_disagreement_score":0.23925221,"about_ca_system_score_codex":0.000019929043,"about_ca_system_score_gemma":0.0000045569554,"threshold_uncertainty_score":0.48296311},"labels":[],"label_agreement":null},{"id":"W2025883444","doi":"10.1017/s0140525x06329020","title":"Neural circuits, matrices, and conjunctive binding","year":2006,"lang":"en","type":"article","venue":"Behavioral and Brain Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Credibility; Computer science; Epistemology; Philosophy","score_opus":0.05342608428876798,"score_gpt":0.295379552454706,"score_spread":0.241953468165938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025883444","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99719906,0.000110093904,0.000018808163,0.0011685704,0.00028005746,0.00014115304,0.00001871704,0.00005877332,0.0010047882],"genre_scores_gemma":[0.9986281,0.000020996702,0.000049336486,0.00047979128,0.00006795214,0.0000065253766,0.0000020709085,0.000005552883,0.00073970057],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987473,0.00005775959,0.00015171952,0.0005012145,0.00026278617,0.00027925457],"domain_scores_gemma":[0.9996042,0.0001710041,0.00007511397,0.000065534296,0.000014907478,0.000069241454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022681712,0.00013093813,0.00012012532,0.00012688909,0.00059825287,0.0003036164,0.00013023303,0.00004188649,0.000019663094],"category_scores_gemma":[0.000043667023,0.00009711945,0.000026439538,0.00045316914,0.00064057513,0.00046646697,0.000083145,0.00009387458,0.0000060875827],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008474906,0.0000798308,0.04089637,0.000009564108,4.6203314e-7,0.0000343745,0.000076805634,0.000010756121,0.8998126,0.01037657,0.00063945196,0.048054766],"study_design_scores_gemma":[0.003954017,0.00486015,0.7341892,0.0001592618,0.00014306435,0.002041915,0.0019342598,0.035086676,0.16678084,0.029784227,0.017778914,0.0032874718],"about_ca_topic_score_codex":0.0002522139,"about_ca_topic_score_gemma":0.000039187238,"teacher_disagreement_score":0.73303175,"about_ca_system_score_codex":0.000011180227,"about_ca_system_score_gemma":0.00001656637,"threshold_uncertainty_score":0.4601338},"labels":[],"label_agreement":null},{"id":"W2025938282","doi":"10.1068/p3282","title":"Global Interference: The Effect of Exposure Duration That is Substituted for Spatial Frequency","year":2002,"lang":"en","type":"article","venue":"Perception","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Interference (communication); Contrast (vision); Duration (music); Exposure duration; Audiology; Psychology; Channel (broadcasting); Telecommunications; Physics; Computer science; Optics; Medicine; Acoustics; Environmental health","score_opus":0.03494115346043797,"score_gpt":0.2670929095500155,"score_spread":0.23215175608957755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025938282","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98786587,0.000009291766,0.010007182,0.0005331405,0.0006097129,0.0004493893,0.00004903339,0.000035169523,0.00044123907],"genre_scores_gemma":[0.99950826,0.000026953767,0.000029018443,0.00016212968,0.00010627499,0.000042120213,0.000012433404,0.000005377938,0.00010742649],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992671,0.000095491174,0.0001495934,0.00021153368,0.0001593913,0.00011686306],"domain_scores_gemma":[0.9996072,0.00010080217,0.00009300475,0.00014961093,0.000028901613,0.000020462581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000114416995,0.000095194475,0.00009315035,0.000023784693,0.00013463052,0.000037556856,0.000117556214,0.000058228594,0.00033712297],"category_scores_gemma":[0.00016592578,0.00006112424,0.00007816284,0.00012979475,0.00006538286,0.00017653675,0.000014848298,0.000055208977,0.000032867618],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010790461,0.000029792574,0.014301532,0.000039986153,0.0000034749587,5.7943464e-7,0.00040691337,0.000044452907,0.9349692,0.00042233508,0.000667406,0.049006466],"study_design_scores_gemma":[0.0030412888,0.0045792004,0.47001156,0.00010846462,0.00016667496,0.00007265329,0.00015390838,0.23836231,0.27868396,0.0036806867,0.00055266113,0.000586625],"about_ca_topic_score_codex":0.00007116425,"about_ca_topic_score_gemma":0.000063673,"teacher_disagreement_score":0.6562852,"about_ca_system_score_codex":0.00005052011,"about_ca_system_score_gemma":0.0000032652972,"threshold_uncertainty_score":0.36912602},"labels":[],"label_agreement":null},{"id":"W2026174587","doi":"10.1162/neco.2007.19.8.2124","title":"Multistability in Spiking Neuron Models of Delayed Recurrent Inhibitory Loops","year":2007,"lang":"en","type":"article","venue":"Neural Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Mitacs; Canada Research Chairs","keywords":"Multistability; Biological neuron model; Spiking neural network; Neuron; Inhibitory postsynaptic potential; Mathematics; Statistical physics; Quadratic equation; Iterated function; Computer science; Physics; Neuroscience; Artificial neural network; Mathematical analysis; Artificial intelligence; Biology; Nonlinear system","score_opus":0.047448508789839604,"score_gpt":0.29356386972342985,"score_spread":0.24611536093359024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026174587","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97886646,0.000015996622,0.019695144,0.000060091737,0.00075169455,0.00028128788,0.0000054822544,0.000053131615,0.00027071423],"genre_scores_gemma":[0.9995151,0.0000046890113,0.00024718445,0.00016206598,0.000041539013,0.0000027416881,0.000008381856,0.000012126209,0.0000061503697],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99858665,0.00010452076,0.00044152312,0.0003656519,0.00028139522,0.00022023021],"domain_scores_gemma":[0.9992627,0.00034324094,0.00017588318,0.000113895556,0.000055451037,0.000048854195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003315424,0.000121104815,0.00014517676,0.00016303053,0.000058464604,0.0000175171,0.00009369316,0.000051310013,0.000002768256],"category_scores_gemma":[0.0001650852,0.00011979829,0.000053475098,0.0003903721,0.000058203146,0.00029378769,0.000047786016,0.00021274839,0.0000024192034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042255482,0.00023332504,0.0017667846,0.00005518101,0.0000010306053,0.000030808726,0.00032529846,0.19895548,0.67837733,0.001400574,0.000020177586,0.11841145],"study_design_scores_gemma":[0.0004606081,0.00024120799,0.02538,0.000017441798,0.000003013269,0.000009393392,0.000018638337,0.9327913,0.037054867,0.0038967205,0.000009044811,0.00011777459],"about_ca_topic_score_codex":0.00007026836,"about_ca_topic_score_gemma":0.000115427756,"teacher_disagreement_score":0.7338358,"about_ca_system_score_codex":0.00007578827,"about_ca_system_score_gemma":0.000013996419,"threshold_uncertainty_score":0.48852327},"labels":[],"label_agreement":null},{"id":"W2026530333","doi":"10.1109/iembs.2009.5332614","title":"Partial directed coherence-based information flow in Parkinson's disease patients performing a visually-guided motor task","year":2009,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Electroencephalography; Autoregressive model; Computer science; Coherence (philosophical gambling strategy); Parkinson's disease; Multivariate statistics; Constraint (computer-aided design); Task (project management); Artificial intelligence; Levodopa; Pattern recognition (psychology); Neuroscience; Machine learning; Psychology; Disease; Medicine; Mathematics; Statistics","score_opus":0.016189285207203225,"score_gpt":0.2421607022339126,"score_spread":0.22597141702670936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026530333","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968427,0.0000010173783,0.0006425314,0.00032659716,0.00042283532,0.0005534975,0.000033835982,0.00020510312,0.00097191334],"genre_scores_gemma":[0.9970536,0.0000032234836,0.00013470511,0.0025021913,0.000033430184,0.00003760413,0.00007289695,0.00000672966,0.00015558169],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99862313,0.00008162881,0.00034872326,0.00026768667,0.0003725495,0.0003062714],"domain_scores_gemma":[0.99941593,0.00007578417,0.0001110228,0.00017541698,0.000064590364,0.00015724516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010466135,0.00016353108,0.00013173067,0.00017801284,0.00013193219,0.0001208704,0.00014041216,0.000050450453,0.000092311166],"category_scores_gemma":[0.00062440574,0.00013944274,0.000059485683,0.0003850578,0.000028060713,0.0008700352,0.000021840418,0.00012242958,0.000057704314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005285248,0.0028268944,0.23901798,0.00018539325,0.000009749278,0.00005655477,0.0010756437,0.014904978,0.18181477,0.0019373074,0.0059624664,0.54692304],"study_design_scores_gemma":[0.001525647,0.00025997733,0.20738287,0.000028217806,0.0000055683918,4.2082036e-7,0.0000058384912,0.77780455,0.008109117,0.000121834695,0.0045272284,0.00022869966],"about_ca_topic_score_codex":0.000024863342,"about_ca_topic_score_gemma":0.000011896339,"teacher_disagreement_score":0.7628996,"about_ca_system_score_codex":0.00008634716,"about_ca_system_score_gemma":0.00007314381,"threshold_uncertainty_score":0.568631},"labels":[],"label_agreement":null},{"id":"W2026642647","doi":"10.1109/iembs.2011.6090707","title":"A waveform independent cell identification method to study long-term variability of spike recordings","year":2011,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Spike (software development); Waveform; Computer science; Session (web analytics); Term (time); Spike train; Amplitude; Pattern recognition (psychology); Neuroscience; Speech recognition; Artificial intelligence; Physics; Biology; Telecommunications","score_opus":0.059074430686645404,"score_gpt":0.3026490310684384,"score_spread":0.24357460038179296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026642647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91128516,2.50915e-7,0.0811185,0.00003176255,0.00038542436,0.0007463777,0.0000044973403,0.000048621885,0.006379426],"genre_scores_gemma":[0.996068,9.896038e-7,0.0023572403,0.00015422472,0.000016143511,0.00003266241,0.0000010165234,0.000011308372,0.0013583864],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99841934,0.00020523129,0.00040002732,0.0005223193,0.00028333545,0.00016973338],"domain_scores_gemma":[0.99912584,0.00011990331,0.00016119173,0.00043353374,0.000075825985,0.00008367995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012226994,0.000115670424,0.00015763007,0.00010893354,0.00007484878,0.0000295316,0.00027427374,0.000044144384,0.00044284257],"category_scores_gemma":[0.00020181296,0.00009308065,0.00006054888,0.00033781858,0.000019419505,0.00019416885,0.00014461389,0.00010390019,0.000057981135],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009378502,0.0011870926,0.06904821,0.000025755504,0.000004092119,0.0000055855417,0.0010042031,0.000003017473,0.9048411,0.0010021734,0.000013166156,0.02277181],"study_design_scores_gemma":[0.00020700303,0.00036101026,0.41212192,0.0000025477354,0.00001565993,0.0000041996045,0.00008547971,0.000393556,0.58547443,0.0012284484,0.0000055793043,0.000100156256],"about_ca_topic_score_codex":0.00018765703,"about_ca_topic_score_gemma":0.00004010323,"teacher_disagreement_score":0.3430737,"about_ca_system_score_codex":0.00004661218,"about_ca_system_score_gemma":0.000014183415,"threshold_uncertainty_score":0.48488155},"labels":[],"label_agreement":null},{"id":"W2026823661","doi":"10.5840/philtopics201139119","title":"Brain in a Vat or Body in a World? Brainbound versus Enactive Views of Experience","year":2011,"lang":"en","type":"article","venue":"Philosophical Topics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":121,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Psychology; Philosophy; Philosophy of mind; Epistemology; Psychoanalysis; Metaphysics","score_opus":0.22984305551731493,"score_gpt":0.3501696265252417,"score_spread":0.12032657100792676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026823661","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97819567,0.000011427018,0.000036674213,0.005061561,0.0004848942,0.0003053365,0.000005899629,0.000023425817,0.015875116],"genre_scores_gemma":[0.9979361,0.000017318787,0.0001229188,0.0013383324,0.00012112486,0.000031114425,8.6151215e-7,0.000011571446,0.00042061709],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99857074,0.00015105525,0.0003710652,0.00041460927,0.00022491756,0.00026762078],"domain_scores_gemma":[0.9991003,0.00045123705,0.00009748198,0.0002601708,0.000018392077,0.0000723612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015002649,0.00014626994,0.00025454946,0.00020735028,0.000035176075,0.000014027622,0.0002681648,0.00007794712,0.000164115],"category_scores_gemma":[0.001206203,0.000118576536,0.00005945287,0.0007987832,0.00018372781,0.00021200367,0.00010754653,0.00030719678,0.000010723431],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0062753237,0.0019514305,0.008271267,0.0001202675,0.000011377602,0.0008287433,0.011833271,0.000021835489,0.1891793,0.7685101,0.0000948036,0.012902263],"study_design_scores_gemma":[0.011048651,0.0032812043,0.0779239,0.00036507985,0.0000216032,0.00006630865,0.00050101767,0.009996797,0.16353795,0.71638983,0.015305508,0.0015621304],"about_ca_topic_score_codex":0.00006992447,"about_ca_topic_score_gemma":0.0004352956,"teacher_disagreement_score":0.06965263,"about_ca_system_score_codex":0.00007375808,"about_ca_system_score_gemma":0.000036754387,"threshold_uncertainty_score":0.48354107},"labels":[],"label_agreement":null},{"id":"W2027148286","doi":"10.1167/11.11.1267","title":"Spike count correlations between primate dorsolateral prefrontal cortex neurons during a spatial working memory task","year":2011,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Working memory; Neuroscience; Saccade; Primate; Stimulus (psychology); Prefrontal cortex; Dorsolateral prefrontal cortex; Spatial memory; Psychology; Cognition; Audiology; Eye movement; Medicine; Cognitive psychology","score_opus":0.029151459483290083,"score_gpt":0.2603764189748617,"score_spread":0.2312249594915716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027148286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956054,0.000011805219,0.001635633,0.0000854361,0.0016343708,0.00014084001,0.000008757252,0.000027884813,0.00084984174],"genre_scores_gemma":[0.9990777,0.000025141124,0.0002125471,0.0000931656,0.00038240835,9.871756e-7,0.0000017667007,0.000022487491,0.00018383913],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99847543,0.00010223524,0.0005348384,0.00022056828,0.00042199396,0.00024494753],"domain_scores_gemma":[0.99900115,0.00009439778,0.0005597609,0.00015293072,0.000060204096,0.00013157631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020723535,0.00015029486,0.00022332862,0.0001834091,0.00026973165,0.00007352749,0.00021990531,0.000070602444,0.00007621474],"category_scores_gemma":[0.0001013586,0.0001209264,0.00013977988,0.00015231234,0.00005418248,0.0004956419,0.0000955076,0.0004357156,0.000024632624],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034519873,0.00014407418,0.018228315,0.000014916567,0.000011126786,0.00020708251,0.0006244064,0.00015281691,0.97362006,0.00005685443,0.00006430765,0.006530814],"study_design_scores_gemma":[0.0008217787,0.00069337536,0.9786441,0.00014952217,0.000049595994,0.0003656649,0.000019278104,0.0049927216,0.0135780275,0.00026398478,0.0002528829,0.00016910734],"about_ca_topic_score_codex":0.00002978096,"about_ca_topic_score_gemma":0.000010390178,"teacher_disagreement_score":0.9604157,"about_ca_system_score_codex":0.00009229242,"about_ca_system_score_gemma":0.0000412937,"threshold_uncertainty_score":0.49312356},"labels":[],"label_agreement":null},{"id":"W2027278504","doi":"10.1016/j.tics.2003.10.012","title":"Synchronous neural oscillations and cognitive processes","year":2003,"lang":"en","type":"review","venue":"Trends in Cognitive Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1026,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cognition; Psychology; Neuroscience; Consciousness; Cognitive science; Stimulus (psychology); Cognitive psychology; Cognitive neuroscience; Cognitive neuropsychology; Neuropsychology","score_opus":0.24476585028462672,"score_gpt":0.43284178598639433,"score_spread":0.18807593570176762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027278504","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011423291,0.969974,0.000036509562,0.00004723963,0.0005371765,0.0005666607,0.0003161677,0.00007028499,0.027309673],"genre_scores_gemma":[0.031274967,0.9672091,0.000021735657,0.00023519315,0.00006834667,0.00013372836,0.000033383298,0.00002705733,0.0009964892],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968767,0.00040783334,0.00047190464,0.0013081542,0.00042433117,0.0005110658],"domain_scores_gemma":[0.9966714,0.0027102716,0.00032343392,0.000094745476,0.00009381002,0.000106337575],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003661197,0.00045857168,0.00081032934,0.0010029508,0.00052906724,0.0002748651,0.00026292246,0.00015554902,0.0001560377],"category_scores_gemma":[0.0018488459,0.0003477349,0.00012652457,0.004040421,0.0014214821,0.000454051,0.00011491541,0.00041426232,0.000027883912],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000036559206,0.000053658696,0.00004190271,0.00063482905,0.0000054479565,0.000028193375,0.00006239002,0.0000010633191,0.000002006788,0.00019742406,0.000014806474,0.9989546],"study_design_scores_gemma":[0.005642567,0.006482455,0.0015487919,0.094521634,0.004531307,0.005023992,0.002786791,0.005573725,0.0004049797,0.0077462625,0.85393935,0.011798165],"about_ca_topic_score_codex":0.000011960972,"about_ca_topic_score_gemma":0.00008412912,"teacher_disagreement_score":0.98715645,"about_ca_system_score_codex":0.000043783155,"about_ca_system_score_gemma":0.00029346667,"threshold_uncertainty_score":0.9998975},"labels":[],"label_agreement":null},{"id":"W2027322435","doi":"10.1111/j.1528-1167.2008.01707.x","title":"Focal generation of paroxysmal fast runs during electrographic seizures","year":2008,"lang":"en","type":"article","venue":"Epilepsia","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Institute on Deafness and Other Communication Disorders; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Bursting; Ictal; Local field potential; Amplitude; Electrophysiology; Neuroscience; Phase (matter); Synchronization (alternating current); Physics; Electroencephalography; Nuclear magnetic resonance; Biology; Optics; Computer science; Telecommunications","score_opus":0.042693073944299116,"score_gpt":0.2375596502257119,"score_spread":0.1948665762814128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027322435","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981733,0.000019629631,0.00054783124,0.00015820019,0.00026871572,0.00011221038,0.0000061365763,0.000060140464,0.00065382157],"genre_scores_gemma":[0.99908215,0.00008577598,0.000086941596,0.00014974804,0.00019233412,0.000009673152,0.000006237269,0.000012895826,0.00037424362],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990581,0.000062907544,0.00018964129,0.00026353257,0.00020955956,0.00021621204],"domain_scores_gemma":[0.99965084,0.00003815118,0.00008071588,0.00015876023,0.000023345741,0.000048190737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000050810464,0.00010077176,0.00011828293,0.00010011622,0.00021710923,0.000013766103,0.00010520086,0.00004918381,0.000038255617],"category_scores_gemma":[0.00007048319,0.0000922147,0.000079600555,0.0002968797,0.00009696218,0.0001316859,0.000026025138,0.00012448539,0.00001559573],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026542712,0.000047502712,0.0046706903,0.0000071341287,0.000002371537,0.000031511307,0.00005798883,0.00020354989,0.9917215,0.0024451148,0.0002768571,0.00050923956],"study_design_scores_gemma":[0.0004130075,0.00025973082,0.1029585,0.000007150237,0.000007937505,0.00031436843,0.0000070426904,0.01910261,0.8760027,0.00023390888,0.0005142688,0.00017871978],"about_ca_topic_score_codex":0.000012614052,"about_ca_topic_score_gemma":0.000009826935,"teacher_disagreement_score":0.115718745,"about_ca_system_score_codex":0.000014767469,"about_ca_system_score_gemma":0.000019732699,"threshold_uncertainty_score":0.37604064},"labels":[],"label_agreement":null},{"id":"W2027409759","doi":"10.1016/j.eplepsyres.2009.10.008","title":"Detection of seizure-associated high-frequency oscillations above 500 Hz","year":2009,"lang":"en","type":"article","venue":"Epilepsy Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research","keywords":"Ictal; Electroencephalography; Epilepsy; Hippocampal formation; Stereoelectroencephalography; Neuroscience; Psychology","score_opus":0.06800234870951974,"score_gpt":0.3426586708647851,"score_spread":0.27465632215526536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027409759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898505,0.000020429528,0.0002737343,0.0015369225,0.00035943894,0.00035352408,0.000036253485,0.00008855924,0.007480629],"genre_scores_gemma":[0.99781,0.000060247334,0.00004415589,0.00016520792,0.00009893817,0.000012554491,0.000008481772,0.000013873332,0.0017865589],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99747187,0.00048145503,0.00029305852,0.00041750786,0.00087151316,0.00046458945],"domain_scores_gemma":[0.99861425,0.00054959016,0.00010022963,0.00034230496,0.00028906815,0.00010456152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009054962,0.0001116274,0.00016843378,0.00035291736,0.00040542494,0.00006322202,0.0002643714,0.00012179059,0.000122046804],"category_scores_gemma":[0.0024147492,0.00010346705,0.000075176475,0.0016245382,0.00014988842,0.00022254998,0.000047212405,0.0005029435,0.000116918214],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036311838,0.00013004059,0.0007260228,0.0000050882386,0.0000029169958,0.0000090661515,0.00006426408,0.00006583863,0.98275465,0.007083635,0.000294623,0.008827541],"study_design_scores_gemma":[0.0010417942,0.0019299735,0.28747502,0.000059471164,0.000011335167,0.000020629795,0.000065879314,0.008260586,0.6278786,0.07193931,0.00096564746,0.00035177314],"about_ca_topic_score_codex":0.0002275647,"about_ca_topic_score_gemma":0.000091260204,"teacher_disagreement_score":0.35487607,"about_ca_system_score_codex":0.00015173478,"about_ca_system_score_gemma":0.000072561765,"threshold_uncertainty_score":0.42192638},"labels":[],"label_agreement":null},{"id":"W2027687653","doi":"10.1016/s0165-0270(00)00242-9","title":"The design and application of three speaker-based stimulating devices for cutaneous stimulation in anesthetized and awake animals","year":2000,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Medical Research Council Canada","keywords":"Stimulation; Stimulus (psychology); Somatosensory system; Biomedical engineering; Sensory stimulation therapy; Computer science; Neuroscience; Medicine; Anesthesia; Psychology","score_opus":0.07782268653593986,"score_gpt":0.3751399675535375,"score_spread":0.29731728101759763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027687653","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6772754,0.000042316657,0.32194817,0.00032997603,0.000069876645,0.0003199246,0.0000010431149,0.000004901155,0.000008370765],"genre_scores_gemma":[0.92917365,0.000046693523,0.07053609,0.00020053124,0.0000202185,0.000005410632,5.8092745e-8,0.000008481053,0.000008891435],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984185,0.00046483468,0.00047327165,0.00023666833,0.00024033965,0.0001663493],"domain_scores_gemma":[0.9956264,0.0037128509,0.000424167,0.00011367026,0.00006769697,0.000055213397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002085628,0.00010257071,0.00019814397,0.0001114772,0.00022885008,0.000092497474,0.00018536043,0.00003452533,0.0000010951587],"category_scores_gemma":[0.0013759698,0.000068792215,0.00004166099,0.00037031568,0.00021365265,0.00019263795,0.000015378984,0.000120199235,7.1530216e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021290027,0.000021256208,0.0014497988,0.000010863959,2.9300182e-7,0.0000039881784,0.000023916988,0.05347437,0.76286435,0.00014117852,4.9209575e-7,0.1817966],"study_design_scores_gemma":[0.0005075828,0.0006752353,0.03178781,0.00002180357,0.000011242657,0.0002251386,0.000007386972,0.9362153,0.026656331,0.0034382483,0.00038055028,0.00007338144],"about_ca_topic_score_codex":0.0000038621965,"about_ca_topic_score_gemma":0.0000040555733,"teacher_disagreement_score":0.8827409,"about_ca_system_score_codex":0.000015066422,"about_ca_system_score_gemma":0.000038431397,"threshold_uncertainty_score":0.2805265},"labels":[],"label_agreement":null},{"id":"W2027909627","doi":"10.1152/jn.00224.2014","title":"Human cortical responses to slow and fast binaural beats reveal multiple mechanisms of binaural hearing","year":2014,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"International Laboratory for Brain, Music and Sound Research; Université de Montréal; Baycrest Hospital; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Binaural recording; Monaural; Magnetoencephalography; Sound localization; Percept; Loudness; Stimulus (psychology); Psychology; Audiology; Neuroscience; Beat (acoustics); Perception; Speech recognition; Electroencephalography; Acoustics; Physics; Computer science; Medicine; Cognitive psychology","score_opus":0.035477718069065196,"score_gpt":0.27866534957721567,"score_spread":0.24318763150815048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027909627","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997988,0.0000016823561,0.0005996998,0.000690004,0.00058172934,0.000092828224,0.0000039437778,0.000011784773,0.000030365418],"genre_scores_gemma":[0.9980968,0.000005601432,0.00036425414,0.0011921524,0.00013731483,0.0000012231742,3.2126212e-7,0.000017620505,0.00018471201],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99839586,0.00044251684,0.00045832057,0.0002531726,0.00020301079,0.00024712726],"domain_scores_gemma":[0.9987957,0.00052781287,0.00027368695,0.00016174812,0.00008844924,0.00015259373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001259956,0.00013992423,0.00036622398,0.00020455294,0.00014883383,0.000022525674,0.00020284785,0.000057210527,0.000005907773],"category_scores_gemma":[0.001373053,0.000109074215,0.000097380405,0.00016783924,0.00013588794,0.00012539218,0.00013804404,0.00033328295,0.000005049898],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047450754,0.000063247295,0.00018048474,0.000014587028,0.0000033215263,0.000044182507,0.000029445968,0.00025771506,0.9963925,0.0016096199,0.000047599828,0.0008828204],"study_design_scores_gemma":[0.00166779,0.013054483,0.60761374,0.00007712052,0.00003840977,0.0010131964,0.000040223862,0.009562411,0.35970226,0.0066159028,0.00030082336,0.00031360742],"about_ca_topic_score_codex":0.0000066252765,"about_ca_topic_score_gemma":8.9666116e-7,"teacher_disagreement_score":0.6366902,"about_ca_system_score_codex":0.000015120734,"about_ca_system_score_gemma":0.000016136992,"threshold_uncertainty_score":0.44479173},"labels":[],"label_agreement":null},{"id":"W2028339491","doi":"10.1016/j.heares.2007.01.008","title":"Correlated neural activity as the driving force for functional changes in auditory cortex","year":2007,"lang":"en","type":"review","venue":"Hearing Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":107,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Tonotopy; Stimulus (psychology); Neuroscience; Auditory cortex; Neural activity; Neural ensemble; Sensory system; Psychology; Cognitive psychology","score_opus":0.34856115984720715,"score_gpt":0.45919900523065,"score_spread":0.11063784538344285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028339491","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04978513,0.91066104,0.00047164032,0.0022653204,0.015875263,0.014781779,0.00009571848,0.00047067401,0.0055934084],"genre_scores_gemma":[0.021994175,0.96273476,0.000005611741,0.00016248415,0.0013622363,0.00065475225,0.000026281747,0.00011744521,0.012942244],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99623454,0.0007037177,0.00032195664,0.00084405264,0.0009594159,0.00093634403],"domain_scores_gemma":[0.99198264,0.007186108,0.00014785705,0.00045246427,0.00011484898,0.000116102776],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0027711745,0.0002913771,0.0005785234,0.0006364769,0.00074777415,0.0001874933,0.00047342596,0.00033399469,0.00005278275],"category_scores_gemma":[0.0025576914,0.00020530105,0.00023477805,0.0012511074,0.0002491962,0.00013198722,0.00036776223,0.0023960266,0.00009193525],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000084085324,0.00007694632,0.000026399823,0.0021365338,0.000011038504,0.000048007616,0.000031454332,0.00002986459,0.0032913333,0.00052760594,0.0010081131,0.9927286],"study_design_scores_gemma":[0.00029777296,0.00032193825,0.0013599576,0.0026318326,0.00003132075,0.00016241967,0.000016007361,0.012540917,0.000121495825,0.00026935362,0.98188126,0.00036570476],"about_ca_topic_score_codex":0.00010360674,"about_ca_topic_score_gemma":0.00023930309,"teacher_disagreement_score":0.9923629,"about_ca_system_score_codex":0.00044403458,"about_ca_system_score_gemma":0.00029873213,"threshold_uncertainty_score":0.99990547},"labels":[],"label_agreement":null},{"id":"W2028533082","doi":"10.1371/journal.pone.0085842","title":"Acute NMDA Receptor Antagonism Disrupts Synchronization of Action Potential Firing in Rat Prefrontal Cortex","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Alberta Innovates; Fondation pour la Recherche Médicale","keywords":"Neuroscience; NMDA receptor; Local field potential; Psychotomimetic; Prefrontal cortex; Electrophysiology; Psychology; Chemistry; Receptor; Cognition","score_opus":0.029287199187700372,"score_gpt":0.2378881534268294,"score_spread":0.20860095423912903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028533082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967136,0.0000041826443,0.0022544342,0.00013236635,0.0004446378,0.00022753378,0.000015143533,0.000044706405,0.00016339986],"genre_scores_gemma":[0.99913627,0.000093433184,0.00017946251,0.00007203309,0.00011585538,0.000010455314,0.00003153307,0.00001624063,0.0003447344],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990103,0.00007885418,0.00020639515,0.00027367062,0.00026783565,0.00016293285],"domain_scores_gemma":[0.9996187,0.00004443734,0.00012548645,0.00014477783,0.000028954855,0.00003762204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007619096,0.00009546906,0.00015340025,0.00008292789,0.00007126028,0.000027597629,0.00009551576,0.00005900122,0.000046391775],"category_scores_gemma":[0.00012499883,0.00009448104,0.00003139854,0.00017446221,0.00004028573,0.00028394698,0.000045935532,0.00012082181,0.000025637151],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007821629,0.0003437744,0.00048193784,0.000041217663,0.000007407804,0.0000011932951,0.000037004284,0.00009772389,0.99476904,0.00012426451,0.00001154514,0.004006654],"study_design_scores_gemma":[0.0004492897,0.00019264367,0.0044297064,0.000060391438,0.000022344802,0.0000021114247,0.0000062907834,0.08911915,0.90543264,0.00015957035,0.000021485737,0.000104349005],"about_ca_topic_score_codex":0.000015114319,"about_ca_topic_score_gemma":0.000021684053,"teacher_disagreement_score":0.089336395,"about_ca_system_score_codex":0.00006740548,"about_ca_system_score_gemma":0.00001327451,"threshold_uncertainty_score":0.3852825},"labels":[],"label_agreement":null},{"id":"W2028552557","doi":"10.1523/jneurosci.6164-08.2009","title":"Proactive Inhibitory Control and Attractor Dynamics in Countermanding Action: A Spiking Neural Circuit Model","year":2009,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":125,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"National Eye Institute; National Institute of Mental Health; Canadian Institutes of Health Research; National Institutes of Health; National Science Foundation","keywords":"Neuroscience; Stop signal; Neurophysiology; Fixation (population genetics); Inhibitory postsynaptic potential; Psychology; Superior colliculus; Inhibitory control; Local field potential; Computer science; Biology","score_opus":0.0615994157455926,"score_gpt":0.2895114874142259,"score_spread":0.22791207166863328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028552557","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935415,0.00001243387,0.0042155134,0.00092168024,0.00083079655,0.00015629469,0.000005556433,0.000015335901,0.00030088171],"genre_scores_gemma":[0.9973619,0.00006213433,0.000024796853,0.0023940825,0.000102940685,0.0000011824965,8.488347e-8,0.000008512111,0.00004439711],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984353,0.000087989334,0.00040334728,0.00031771595,0.0004695481,0.0002860614],"domain_scores_gemma":[0.9991781,0.00013451354,0.0004043829,0.00010468809,0.000057665653,0.00012066702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003219644,0.0001497839,0.00022312342,0.00031808368,0.00017140913,0.00016978996,0.00023613001,0.00004937832,7.414194e-7],"category_scores_gemma":[0.00041737533,0.00012764987,0.000065808934,0.0004045744,0.00013640817,0.0013752258,0.000025289362,0.0005168156,3.9362502e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011169841,0.0000951226,0.0012757785,0.0000060332386,4.7231853e-7,0.0001598548,0.00009187135,0.0048434734,0.98726743,0.0009291591,0.000009892396,0.005209232],"study_design_scores_gemma":[0.00080287736,0.0005156905,0.04508029,0.00004121936,0.00000869132,0.0011097823,0.000042249132,0.9467144,0.004528282,0.0009739942,0.00003464329,0.00014790366],"about_ca_topic_score_codex":0.0000018599336,"about_ca_topic_score_gemma":0.000005479169,"teacher_disagreement_score":0.98273915,"about_ca_system_score_codex":0.00022109864,"about_ca_system_score_gemma":0.00006839683,"threshold_uncertainty_score":0.520541},"labels":[],"label_agreement":null},{"id":"W2028833714","doi":"10.1007/s11571-010-9137-6","title":"Transient coordinated activity within the developing brain’s default network","year":2010,"lang":"en","type":"article","venue":"Cognitive Neurodynamics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Hospital for Sick Children","keywords":"Default mode network; Introspection; Phase synchronization; Synchronization (alternating current); Transient (computer programming); Resting state fMRI; Computer science; Electroencephalography; Neuroscience; Functional connectivity; Brain activity and meditation; Psychology; Cognitive psychology; Computer network","score_opus":0.023133418827427386,"score_gpt":0.261683746320506,"score_spread":0.2385503274930786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028833714","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9752457,0.0000027320461,0.013803744,0.0047441795,0.0032622884,0.00062602945,0.00004608884,0.00020999815,0.0020592299],"genre_scores_gemma":[0.990469,0.000008816944,0.00007993465,0.008745683,0.00020177977,0.000042510237,0.000010501102,0.000054913504,0.00038685437],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978345,0.0003186241,0.0002738886,0.0007184479,0.00033396232,0.00052059785],"domain_scores_gemma":[0.9974806,0.0017249512,0.00020692543,0.00030769882,0.00016596126,0.00011388656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038623152,0.00030832388,0.00021886939,0.000068260284,0.00076123636,0.00016966031,0.00038396407,0.0001320889,0.000019355672],"category_scores_gemma":[0.002258809,0.00023082827,0.00012014065,0.00078380154,0.00037639283,0.00025527895,0.00013499815,0.00117953,0.000053170545],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028257683,0.00012436161,0.0007103289,0.000023143535,0.00001635624,0.000104325176,0.0002230106,0.0012815358,0.95306224,0.02447825,0.0004110096,0.01928287],"study_design_scores_gemma":[0.0024854643,0.0005617199,0.1888809,0.00013450148,0.00013861172,0.0006433674,0.00014532804,0.7152443,0.074709706,0.010088941,0.0052898633,0.0016773118],"about_ca_topic_score_codex":0.000018355428,"about_ca_topic_score_gemma":0.00042446176,"teacher_disagreement_score":0.8783525,"about_ca_system_score_codex":0.00003599805,"about_ca_system_score_gemma":0.00011409156,"threshold_uncertainty_score":0.9412904},"labels":[],"label_agreement":null},{"id":"W2029301766","doi":"10.3389/fncom.2013.00184","title":"Mean-field models for heterogeneous networks of two-dimensional integrate and fire neurons","year":2013,"lang":"en","type":"article","venue":"Frontiers in Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Moment closure; Bursting; Statistical physics; Parameter space; Moment (physics); Population; Mean field theory; Bifurcation; Closure (psychology); Quartic function; Computer science; Field (mathematics); Mathematics; Nonlinear system; Physics; Statistics; Mechanics; Classical mechanics","score_opus":0.023344906206822346,"score_gpt":0.24881139782419304,"score_spread":0.2254664916173707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029301766","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63832784,0.000048319107,0.35909045,0.00065144605,0.001348742,0.00045680764,0.000019246438,0.000026509968,0.00003065318],"genre_scores_gemma":[0.98915696,0.000013530978,0.007820619,0.0028688575,0.000026402005,0.000041161187,0.000003731717,0.000013170597,0.00005558912],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985539,0.000057460074,0.00029588563,0.00053767866,0.00028100237,0.00027410133],"domain_scores_gemma":[0.9990767,0.0005180667,0.00012364241,0.00012027258,0.000074449265,0.00008686236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001153823,0.0001477607,0.00018173971,0.00012940093,0.00015595736,0.00007014781,0.00023597221,0.00004074109,0.0000035032992],"category_scores_gemma":[0.0002169688,0.0001355189,0.000054732078,0.00035102447,0.00022307194,0.00041695428,0.000095555326,0.00014974586,6.3182e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029237493,0.00004586111,0.00041753467,0.000007746069,6.903442e-7,0.000003852687,0.000019776075,0.9760548,0.01482377,0.0029181254,0.0005496323,0.005128998],"study_design_scores_gemma":[0.00033402213,0.000200104,0.001041133,0.000012944963,0.0000028853547,0.000030570096,0.0000040766945,0.9442284,0.0014406224,0.05257153,0.000017079932,0.000116647614],"about_ca_topic_score_codex":0.000026987593,"about_ca_topic_score_gemma":0.0000025786821,"teacher_disagreement_score":0.35126984,"about_ca_system_score_codex":0.000019207746,"about_ca_system_score_gemma":0.00003828875,"threshold_uncertainty_score":0.55263007},"labels":[],"label_agreement":null},{"id":"W2029749960","doi":"10.1162/neco.2008.20.1.146","title":"Population Coding with Motion Energy Filters: The Impact of Correlations","year":2007,"lang":"en","type":"article","venue":"Neural Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Fondation Fyssen","keywords":"Coding (social sciences); Population; Motion (physics); Neural coding; Energy (signal processing); Computer science; Artificial intelligence; Mathematics; Statistical physics; Physics; Statistics; Sociology","score_opus":0.030595554234949383,"score_gpt":0.28777163045324683,"score_spread":0.25717607621829747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029749960","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8009412,0.0000022606584,0.19831607,0.00009818972,0.00017227788,0.00010915574,0.000004243183,0.00004238564,0.00031421467],"genre_scores_gemma":[0.9996589,0.0000015447245,0.00009503819,0.00009494932,0.00005857164,0.000002195051,0.000042507956,0.000010341904,0.000035948266],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999183,0.0000795387,0.00020828252,0.00017536653,0.0002160209,0.00013776525],"domain_scores_gemma":[0.9992587,0.00035583196,0.00020185111,0.000092103925,0.00006077608,0.000030716612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013515331,0.00009371665,0.00008543341,0.000104143866,0.00018907532,0.000037067788,0.000067759654,0.000032312575,0.000008296309],"category_scores_gemma":[0.000075351025,0.000058058627,0.000060948943,0.0004223539,0.000042558193,0.0002688403,0.000014519619,0.00008860006,0.000001902636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024851988,0.0000812447,0.017227031,0.000009005525,0.000008679066,0.000005930662,0.00021312463,0.7279799,0.16012205,0.008935776,0.000114665265,0.08505406],"study_design_scores_gemma":[0.00022714876,0.00026293859,0.2824109,0.000009585436,0.0000080914715,0.00003246449,0.000017852648,0.7103902,0.005477532,0.0010860751,0.000004315885,0.00007289342],"about_ca_topic_score_codex":0.00032984436,"about_ca_topic_score_gemma":0.00004688696,"teacher_disagreement_score":0.26518387,"about_ca_system_score_codex":0.000060847247,"about_ca_system_score_gemma":0.000008125177,"threshold_uncertainty_score":0.23675622},"labels":[],"label_agreement":null},{"id":"W2029810284","doi":"10.1007/s10548-007-0031-4","title":"Sensitivity of EEG and MEG to the N1 and P2 Auditory Evoked Responses Modulated by Spectral Complexity of Sounds","year":2007,"lang":"en","type":"article","venue":"Brain Topography","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto; McMaster University","funders":"National Institute on Deafness and Other Communication Disorders","keywords":"Sensitivity (control systems); Electroencephalography; Magnetoencephalography; Audiology; Psychology; Speech recognition; Neuroscience; Computer science; Medicine; Engineering","score_opus":0.024023122872371357,"score_gpt":0.2593909403513703,"score_spread":0.23536781747899893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029810284","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964478,0.0000424637,0.00078218814,0.001894337,0.00025249016,0.00023094738,0.00009408947,0.000028401682,0.0002272782],"genre_scores_gemma":[0.99892884,0.000017540528,0.00011775018,0.0007420579,0.00004785538,0.0000014499213,0.0000025497623,0.000009130536,0.00013284397],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99877775,0.00027943493,0.00021279538,0.0002981261,0.00022440178,0.00020749943],"domain_scores_gemma":[0.9984758,0.001077701,0.00011007033,0.00021467733,0.000039563874,0.00008219277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009410464,0.00012088867,0.00018153527,0.00017785607,0.00013921977,0.000021802469,0.000081819526,0.000051674713,0.0000048559727],"category_scores_gemma":[0.00046160072,0.00009286425,0.00006839923,0.0005300047,0.000616275,0.00007242971,0.00006857567,0.000111198555,4.2688012e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003062941,0.000053953656,0.0042739087,0.00001662498,0.000008468212,0.0000057285283,0.00019058783,0.000008097398,0.98918074,0.0019526867,0.0018593835,0.0021435302],"study_design_scores_gemma":[0.00040023602,0.00034173334,0.8450904,0.000017635459,0.000013707103,0.000031414987,0.00008725836,0.0015390395,0.14525694,0.0038489224,0.0031990637,0.00017365554],"about_ca_topic_score_codex":0.00016064187,"about_ca_topic_score_gemma":0.00020873029,"teacher_disagreement_score":0.8439238,"about_ca_system_score_codex":0.0000074726017,"about_ca_system_score_gemma":0.000009758259,"threshold_uncertainty_score":0.3786894},"labels":[],"label_agreement":null},{"id":"W2030442888","doi":"10.1142/s0219477512400184","title":"FLUCTUATIONS AND INTERACTIONS BETWEEN BRAIN WAVES DURING DEEP AND SHALLOW ANESTHESIA","year":2012,"lang":"en","type":"article","venue":"Fluctuation and Noise Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Javna Agencija za Raziskovalno Dejavnost RS; McMaster University","keywords":"Electroencephalography; Coupling (piping); Neurophysiology; Ketamine; Pentobarbital; Anesthesia; Cortical spreading depression; Cortex (anatomy); Low frequency; Nuclear magnetic resonance; Neuroscience; Physics; Medicine; Materials science; Psychology","score_opus":0.020869989311627587,"score_gpt":0.249873931594446,"score_spread":0.22900394228281842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030442888","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9786185,0.00003784744,0.0010726922,0.019869378,0.00010816927,0.00016647697,0.000004089415,0.000054760847,0.00006811221],"genre_scores_gemma":[0.9946171,0.000041348165,0.00020653142,0.0047184024,0.00019636338,0.000013342062,0.000012301262,0.000014349085,0.00018026533],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99917483,0.00008074221,0.00015718942,0.0002544533,0.00012638814,0.00020637593],"domain_scores_gemma":[0.999399,0.00029678288,0.000063009255,0.00009956164,0.0000122919355,0.00012934848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011723615,0.00012828746,0.000109819215,0.0001373034,0.0003536955,0.00010873487,0.000040262705,0.00003602981,0.00003098625],"category_scores_gemma":[0.00016969134,0.00012001583,0.000021542428,0.00012823264,0.00010488443,0.00063201104,0.000035176756,0.00012120007,0.000011422071],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013608079,0.00001527531,0.014400168,0.000021664164,0.0000059176605,0.000003019447,0.0011308024,0.000016463973,0.97812223,0.00079188525,0.00015692337,0.005322049],"study_design_scores_gemma":[0.00046079446,0.000028641598,0.97772986,0.000017879194,0.000031895455,0.00019110923,0.00009699181,0.005713614,0.013026256,0.0002706926,0.002189832,0.00024245364],"about_ca_topic_score_codex":0.000009819677,"about_ca_topic_score_gemma":0.000006978786,"teacher_disagreement_score":0.965096,"about_ca_system_score_codex":0.000019655794,"about_ca_system_score_gemma":0.0000034626526,"threshold_uncertainty_score":0.48941037},"labels":[],"label_agreement":null},{"id":"W2030594933","doi":"10.1016/j.bpj.2008.12.3891","title":"Fluctuation Analysis of Tetanic Rundown (Short-Term Depression) at a Corticothalamic Synapse","year":2009,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Muscular Dystrophy Canada; Muscular Dystrophy Association","keywords":"Excitatory postsynaptic potential; Neuroscience; Stimulus (psychology); Chemistry; Postsynaptic potential; Postsynaptic Current; Biophysics; Biology; Psychology; Receptor; Inhibitory postsynaptic potential; Biochemistry","score_opus":0.01916547636881509,"score_gpt":0.2678190382143476,"score_spread":0.2486535618455325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030594933","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99845624,0.000006079286,0.0008837988,0.00016064147,0.0002059376,0.000078772944,0.00000773555,0.000023915429,0.00017685443],"genre_scores_gemma":[0.99944305,0.00003671198,0.00003002459,0.00023205443,0.00012335087,0.0000011121914,0.0000052804735,0.0000073171573,0.000121085555],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99860066,0.00009469126,0.0003692302,0.00027380663,0.00043778453,0.00022380355],"domain_scores_gemma":[0.9992793,0.000121706675,0.00020729146,0.00020721518,0.000058324247,0.00012612011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008258417,0.00013421694,0.0002883664,0.00022635059,0.00019615526,0.000059622656,0.0001919179,0.000048083468,0.000084042236],"category_scores_gemma":[0.00014524462,0.00010043271,0.00032275115,0.00079348206,0.00006757922,0.00020234927,0.00003955859,0.0002006673,0.000016456854],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007750156,0.00016670563,0.0027400847,0.0000020316877,0.000040316,0.000033795543,0.000021442065,0.00027538146,0.98818547,0.00033854003,0.000024648456,0.008094097],"study_design_scores_gemma":[0.00023238041,0.0002446295,0.51394343,0.000015145617,0.00038405787,0.00010275815,0.0000032365845,0.034214687,0.45035452,0.00035085145,0.000013070074,0.00014123418],"about_ca_topic_score_codex":0.0000015008125,"about_ca_topic_score_gemma":0.0000018440938,"teacher_disagreement_score":0.53783095,"about_ca_system_score_codex":0.00008303729,"about_ca_system_score_gemma":0.000018967132,"threshold_uncertainty_score":0.40955272},"labels":[],"label_agreement":null},{"id":"W2030679920","doi":"10.1103/physrevlett.91.178101","title":"Oscillatory Waves in Inhomogeneous Neural Media","year":2003,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Instability; Physics; Artificial neural network; Pulse (music); Excitatory postsynaptic potential; Reduction (mathematics); Front (military); Mechanics; Statistical physics; Computer science; Optics; Mathematics; Meteorology; Neuroscience","score_opus":0.02735883494965794,"score_gpt":0.2709392056780629,"score_spread":0.24358037072840497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030679920","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943318,0.0009901446,0.000011234319,0.003440743,0.00035625606,0.00022808056,0.0000030903116,0.00003665433,0.00060202245],"genre_scores_gemma":[0.94664574,0.0014747137,0.000013320823,0.05174257,0.00007844756,0.000018477913,0.0000012712454,0.000014636472,0.000010845106],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987087,0.00023755993,0.00018936043,0.00035177302,0.00024541057,0.0002671537],"domain_scores_gemma":[0.9993531,0.00029344604,0.00005922612,0.00020942863,0.000007261094,0.000077555684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011855218,0.00014460002,0.00025072243,0.000040010713,0.000042892403,0.000018449962,0.00013836066,0.00000794636,0.000027894448],"category_scores_gemma":[0.00068349193,0.00011563537,0.000113659946,0.0003494362,0.00007733792,0.00010883468,0.000026280584,0.00019062034,0.000109500994],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000583126,0.00011245574,0.00036388627,0.00025341392,0.0000018622087,0.00011643142,0.000065604865,0.0002614575,0.9848994,0.004791323,0.0015751709,0.00755314],"study_design_scores_gemma":[0.0055508697,0.00091020553,0.038709298,0.006364269,0.00035403803,0.0010272127,0.00005377375,0.10361658,0.35574764,0.022751912,0.4576705,0.007243701],"about_ca_topic_score_codex":0.0000029970106,"about_ca_topic_score_gemma":0.0000025402474,"teacher_disagreement_score":0.62915176,"about_ca_system_score_codex":0.0000363298,"about_ca_system_score_gemma":0.000010220711,"threshold_uncertainty_score":0.47154737},"labels":[],"label_agreement":null},{"id":"W2030836871","doi":"10.1007/s10441-005-2526-2","title":"Physical Entropy And The Senses","year":2005,"lang":"en","type":"article","venue":"Acta Biotheoretica","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sensation; Loudness; Stimulus (psychology); Psychophysics; Entropy (arrow of time); Perception; Mathematics; Logarithm; Stimulus modality; Sensory system; Psychology; Physics; Mathematical analysis; Neuroscience; Cognitive psychology; Thermodynamics; Acoustics","score_opus":0.007570052755577211,"score_gpt":0.2314010299819152,"score_spread":0.223830977226338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030836871","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9693958,0.000011092554,0.00006119903,0.023886165,0.000087953806,0.00012005448,0.000004806603,0.000044317083,0.006388624],"genre_scores_gemma":[0.99623585,0.00006570071,0.00004534497,0.0030564289,0.00022524684,0.000003585561,3.4984333e-7,0.000008082027,0.00035938527],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994346,0.00008945255,0.000063365966,0.00018435263,0.00009096379,0.00013726501],"domain_scores_gemma":[0.99923307,0.00054522743,0.000026384607,0.00015262303,0.0000067178207,0.000035952224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007748468,0.00007384273,0.00008052242,0.000015462068,0.00012028396,0.00006178024,0.00009441356,0.000020942958,0.000056303197],"category_scores_gemma":[0.00027816725,0.000039841543,0.000036922323,0.00007100192,0.00071697985,0.00005914397,0.00004841275,0.000089003865,0.00004347107],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058458794,0.000017692588,0.000005733698,0.000001109574,9.587992e-7,9.383825e-7,0.000107758206,5.967949e-7,0.3290787,0.66654223,0.00020198688,0.003983823],"study_design_scores_gemma":[0.0021041513,0.00018861673,0.00031845356,0.0000138512305,0.00003736536,0.000121055535,0.000054916618,0.092531346,0.6766939,0.17445482,0.053170186,0.00031130944],"about_ca_topic_score_codex":0.0000015867116,"about_ca_topic_score_gemma":6.3757557e-7,"teacher_disagreement_score":0.49208742,"about_ca_system_score_codex":0.0000074673526,"about_ca_system_score_gemma":0.0000043249447,"threshold_uncertainty_score":0.26417422},"labels":[],"label_agreement":null},{"id":"W2030929393","doi":"10.1121/1.4806020","title":"Prolonged low-grade noise exposure induces aging-like functional and structural changes in cortical auditory pathways","year":2013,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Auditory cortex; Neuroscience; Inhibitory postsynaptic potential; Noise (video); Noise exposure; Interneuron; Audiology; Auditory pathways; Natural sounds; Psychology; Biology; Medicine; Hearing loss; Computer science","score_opus":0.019104358351933148,"score_gpt":0.22608394544172522,"score_spread":0.20697958708979208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030929393","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9893495,0.00005935312,0.0009969894,0.0087139625,0.00068176235,0.00017469966,0.000005426451,0.00000804877,0.0000102637205],"genre_scores_gemma":[0.99651545,0.00015151191,0.00043440808,0.0025388994,0.00031050996,0.0000032507987,2.2249216e-7,0.00001014604,0.00003562238],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998598,0.00025188056,0.00030396244,0.00013266431,0.00048265953,0.00023086084],"domain_scores_gemma":[0.99856716,0.0007872777,0.00032848972,0.00015134113,0.00008132574,0.000084379644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002861279,0.00013025131,0.00022515455,0.000023702649,0.0002092145,0.000031339503,0.0003015942,0.00006832304,0.000051198524],"category_scores_gemma":[0.00036802757,0.000065724525,0.00013188123,0.00021955426,0.0007888654,0.00014377118,0.00014874087,0.00068533496,0.0000021156304],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000715639,0.00006364542,0.0007779313,0.000024753335,0.00001637307,0.0000014237028,0.00049350236,0.00116417,0.9907162,0.0000073907277,0.0022797044,0.004383337],"study_design_scores_gemma":[0.001806215,0.0015907506,0.58035415,0.00019644361,0.00020800305,0.00045619378,0.0030357407,0.3650743,0.04146273,0.0050837747,0.00029289632,0.00043879164],"about_ca_topic_score_codex":0.000021956314,"about_ca_topic_score_gemma":0.0000016003768,"teacher_disagreement_score":0.9492535,"about_ca_system_score_codex":0.000041380732,"about_ca_system_score_gemma":0.000047629022,"threshold_uncertainty_score":0.29774776},"labels":[],"label_agreement":null},{"id":"W2031181898","doi":"10.1016/j.neuroimage.2012.01.037","title":"Brain signal variability relates to stability of behavior after recovery from diffuse brain injury","year":2012,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":77,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institutes of Health; University of Toronto; James S. McDonnell Foundation","keywords":"Magnetoencephalography; Neuroscience; Psychology; Brain activity and meditation; Traumatic brain injury; Predictability; Cognition; Cognitive psychology; Electroencephalography; Mathematics","score_opus":0.026736506520986757,"score_gpt":0.2635873579565676,"score_spread":0.23685085143558088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031181898","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955477,0.000006184559,0.00041557034,0.0013785284,0.00086226803,0.0006064913,0.00067206635,0.00009820211,0.0004129642],"genre_scores_gemma":[0.994812,0.0000025240035,0.00024806752,0.0044799517,0.0001355995,0.00007702772,0.000010805505,0.00003825006,0.00019573527],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9972162,0.00071913266,0.00047546413,0.0007227883,0.00038673935,0.00047964734],"domain_scores_gemma":[0.9967177,0.0020734395,0.00014195793,0.00075787056,0.000047814527,0.00026120135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006859771,0.00024970216,0.00029448423,0.000094913696,0.00008804973,0.000055651908,0.00028447268,0.00011429562,0.0008545998],"category_scores_gemma":[0.003003255,0.00023171082,0.00016249201,0.00036335955,0.00015505125,0.00062526343,0.00026521113,0.00036184792,0.00010298991],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036619286,0.0007059945,0.057030883,0.000014368802,0.0000021098845,0.000010253691,0.00015917725,0.0000017199255,0.9370983,0.00007420711,0.0007324995,0.003804254],"study_design_scores_gemma":[0.00037058556,0.0004128412,0.60058784,0.000012798033,0.00002848804,0.0000055277023,0.000009818312,0.00017894247,0.3955384,0.00087095815,0.001681051,0.00030276232],"about_ca_topic_score_codex":0.00008375029,"about_ca_topic_score_gemma":0.000010152103,"teacher_disagreement_score":0.5435569,"about_ca_system_score_codex":0.00006694255,"about_ca_system_score_gemma":0.000029863038,"threshold_uncertainty_score":0.9448893},"labels":[],"label_agreement":null},{"id":"W2031236619","doi":"10.1016/j.neuroimage.2004.01.020","title":"Random Field–Union Intersection tests for EEG/MEG imaging","year":2004,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Statistic; Computer science; Test statistic; Statistical hypothesis testing; Intersection (aeronautics); Electroencephalography; Artificial intelligence; Pattern recognition (psychology); Generalization; Field (mathematics); Statistics; Mathematics; Psychology; Cartography; Geography","score_opus":0.02393634675149121,"score_gpt":0.2772599605612409,"score_spread":0.2533236138097497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031236619","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9138601,0.000009989127,0.07279065,0.005403095,0.0027685727,0.0006677129,0.00001482492,0.00029086712,0.0041941875],"genre_scores_gemma":[0.9951829,0.000011148233,0.00020899555,0.0040219408,0.00013583976,0.000030657113,0.000004480959,0.000025582742,0.00037845637],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989694,0.000059378675,0.00016911497,0.0004177654,0.00014054732,0.00024383326],"domain_scores_gemma":[0.99931383,0.00032098603,0.00007151769,0.00020660761,0.000032043314,0.000055026605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001268508,0.00013194379,0.00011407739,0.000096396696,0.00019682285,0.000104103434,0.00013957717,0.00003220377,0.000017478174],"category_scores_gemma":[0.0008273996,0.00012267414,0.00010468911,0.00017403335,0.00003820176,0.0003192572,0.00004646552,0.0001631981,0.000032698143],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013092037,0.000048323967,0.0001280941,0.000014323397,7.668678e-7,0.000024682126,0.00003853788,0.00020529682,0.985714,0.0008917724,0.00074986997,0.012053409],"study_design_scores_gemma":[0.008346118,0.000889111,0.0074539664,0.000069456895,0.000031587177,0.0003280089,0.00004276463,0.022194123,0.92949235,0.013166473,0.017432699,0.0005533193],"about_ca_topic_score_codex":0.000028700151,"about_ca_topic_score_gemma":0.000013768243,"teacher_disagreement_score":0.081322804,"about_ca_system_score_codex":0.00004282902,"about_ca_system_score_gemma":0.000017487642,"threshold_uncertainty_score":0.5002507},"labels":[],"label_agreement":null},{"id":"W2031269841","doi":"10.1037/0735-7044.121.1.164","title":"The modulation of play fighting in rats: Role of the motor cortex.","year":2007,"lang":"en","type":"article","venue":"Behavioral Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Heritage Foundation for Medical Research","keywords":"Neuroscience; Cortex (anatomy); Motor cortex; Psychology; Modulation (music); Cerebral cortex; Stimulation","score_opus":0.033021619285589825,"score_gpt":0.28893774248956144,"score_spread":0.2559161232039716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031269841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987556,0.00000599791,0.00004886073,0.00007816244,0.00068282493,0.00026114134,0.000009785095,0.000012392781,0.00014524585],"genre_scores_gemma":[0.999672,0.0000057388675,0.0000144929,0.000118554985,0.000013486097,0.0000042829747,1.903984e-7,0.000006796189,0.00016443501],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99861974,0.00007808447,0.00034973698,0.0002775294,0.00042639955,0.00024849578],"domain_scores_gemma":[0.9992046,0.00018654884,0.00024889453,0.0002941411,0.000033050845,0.000032762015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039291798,0.000088704415,0.00009349891,0.000064468884,0.00022539932,0.000031211515,0.00049802073,0.00003299475,0.0000020944863],"category_scores_gemma":[0.0003054211,0.00005263473,0.000059403894,0.0007282412,0.0003413031,0.0001940112,0.00012212517,0.00014916653,7.580739e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002031949,0.00005995103,0.016941296,0.0000015616715,3.2338058e-8,0.0000019147312,0.00006133001,0.00013280327,0.97822165,0.0007074487,0.000001926215,0.0038497464],"study_design_scores_gemma":[0.00008007678,0.00009218018,0.55966854,0.000010766211,0.000001757756,0.0000058373876,0.000031457228,0.010025437,0.42971477,0.00018670282,0.0001337684,0.000048715086],"about_ca_topic_score_codex":0.00006345047,"about_ca_topic_score_gemma":0.00007693655,"teacher_disagreement_score":0.5485069,"about_ca_system_score_codex":0.000022680206,"about_ca_system_score_gemma":0.000027186248,"threshold_uncertainty_score":0.21463819},"labels":[],"label_agreement":null},{"id":"W2031366563","doi":"10.1093/cercor/bhu193","title":"Frequency Selectivity of Voxel-by-Voxel Functional Connectivity in Human Auditory Cortex","year":2014,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; McGill University; International Laboratory for Brain, Music and Sound Research; Centre for Research on Brain Language and Music; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research","keywords":"Voxel; Auditory cortex; Human brain; Neuroscience; Visual cortex; Functional magnetic resonance imaging; Lateralization of brain function; Cortex (anatomy); Psychology; Computer science; Artificial intelligence","score_opus":0.01770838372763255,"score_gpt":0.23874359597235034,"score_spread":0.22103521224471778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031366563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99087167,0.000009740197,0.0014144552,0.00014542748,0.0013094976,0.00027113382,0.000043861364,0.00010099562,0.0058332486],"genre_scores_gemma":[0.99837375,0.000003570023,0.000019563215,0.00042773312,0.0002564645,0.000021918773,0.00002485215,0.000029843955,0.00084228977],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99768513,0.00032740113,0.00040599142,0.0007418083,0.0004254022,0.00041424428],"domain_scores_gemma":[0.99877757,0.00039461412,0.00026724781,0.00036078735,0.0000817526,0.00011805002],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00037388803,0.00025462196,0.00036717433,0.00016705353,0.00022091428,0.00003613069,0.00024089357,0.0001497461,0.0003140002],"category_scores_gemma":[0.00053037045,0.0002515682,0.0001259719,0.00048914575,0.00023263319,0.00036732177,0.00008250721,0.00043742603,0.000042108546],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028055352,0.00024285822,0.05318051,0.000026712783,0.000004634676,0.0000033824977,0.000020547068,0.00002440437,0.93227947,0.010919163,0.0020189018,0.0012513896],"study_design_scores_gemma":[0.0011035595,0.00041080458,0.9041175,0.000026460337,0.000013946965,0.000021005211,0.00001014338,0.0057481527,0.07396635,0.013588211,0.0006030324,0.00039079363],"about_ca_topic_score_codex":0.0003001651,"about_ca_topic_score_gemma":0.0003670164,"teacher_disagreement_score":0.8583131,"about_ca_system_score_codex":0.00014242793,"about_ca_system_score_gemma":0.000068660076,"threshold_uncertainty_score":0.9999937},"labels":[],"label_agreement":null},{"id":"W2031517753","doi":"10.1046/j.1460-9568.2002.02063.x","title":"Auditory activation of ‘visual’ cortical areas in the blind mole rat (<i>Spalax ehrenbergi</i>)","year":2002,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":99,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; DuPont","keywords":"Inferior colliculus; Neuroscience; Auditory cortex; Visual cortex; Medial geniculate body; Superior colliculus; Biology; Lateral geniculate nucleus; Geniculate; Electrophysiology; Auditory system; Rodent; Visual system; Cerebrum; Dorsal cochlear nucleus; Nucleus; Anatomy; Central nervous system; Cochlear nucleus","score_opus":0.05087436508578324,"score_gpt":0.26751750696902493,"score_spread":0.21664314188324169,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031517753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99439174,0.000013605928,0.0006717157,0.0010724509,0.0014145249,0.00011470444,0.0000014554338,0.000009734476,0.0023100672],"genre_scores_gemma":[0.99768066,0.000085574975,0.00002827598,0.0017765001,0.00021565062,6.2218623e-7,1.0633981e-7,0.000015318794,0.00019726124],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9969296,0.0011680648,0.0005913945,0.00027792435,0.00077797385,0.00025505034],"domain_scores_gemma":[0.9986313,0.00045017936,0.00052716065,0.00022101615,0.000076645985,0.00009371375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010804342,0.00013877488,0.00017351394,0.0002195027,0.00016096636,0.0000926378,0.00073347386,0.000018004592,0.000024023324],"category_scores_gemma":[0.0020568462,0.000093667026,0.000100716316,0.00085689884,0.00032246,0.0005031731,0.00007478335,0.00053025543,0.000018151895],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006214727,0.0002609944,0.00027866248,0.000005307347,3.982404e-7,0.00024416795,0.00021278836,0.0006973448,0.99539226,0.00018154827,0.0007791732,0.0018852334],"study_design_scores_gemma":[0.004704405,0.0059561715,0.60954845,0.00032088984,0.000046440815,0.0025335383,0.00033361948,0.08571691,0.2672279,0.00036332343,0.02247224,0.0007760918],"about_ca_topic_score_codex":7.198696e-7,"about_ca_topic_score_gemma":3.6103566e-7,"teacher_disagreement_score":0.7281643,"about_ca_system_score_codex":0.000024488963,"about_ca_system_score_gemma":0.000024644629,"threshold_uncertainty_score":0.38196304},"labels":[],"label_agreement":null},{"id":"W2031532367","doi":"10.1152/jn.90931.2008","title":"Responses of Neurons in Chinchilla Auditory Cortex to Frequency-Modulated Tones","year":2009,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Chinchilla; Auditory cortex; Neuroscience; Psychology; Audiology; Biology; Communication; Anatomy; Medicine","score_opus":0.019668216698300735,"score_gpt":0.2732471841270316,"score_spread":0.2535789674287309,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031532367","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965185,0.00000671393,0.000015336733,0.0018010455,0.001393834,0.00010055488,0.0000066569314,0.000011280672,0.00014607816],"genre_scores_gemma":[0.99696404,0.0000710192,0.000069502654,0.0025990368,0.00020689887,5.252274e-7,3.183317e-7,0.000011429367,0.00007725044],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983873,0.0003853179,0.00057052186,0.00023924607,0.00019751031,0.00022012874],"domain_scores_gemma":[0.99889725,0.00035337175,0.00037464217,0.00020132071,0.00008025298,0.00009318018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000067692046,0.00013666025,0.0003575844,0.00040179706,0.00004533632,0.0000095466785,0.0003086329,0.00005836302,0.000016268968],"category_scores_gemma":[0.0010850426,0.00011049928,0.00011285903,0.00044638984,0.00007556166,0.00012617477,0.000038350452,0.0003304672,0.000009090121],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056791614,0.00013938207,0.00006760302,0.000003673455,0.0000018121718,0.0002908665,0.00003989217,0.0024195416,0.99487466,0.00025079312,0.000082035345,0.0012618159],"study_design_scores_gemma":[0.00048589156,0.004589557,0.9504227,0.000030079771,0.000007892664,0.00036342314,0.0000053476647,0.0007635532,0.039423276,0.0034180465,0.00036077996,0.00012946328],"about_ca_topic_score_codex":0.00000629993,"about_ca_topic_score_gemma":0.0000014930874,"teacher_disagreement_score":0.95545137,"about_ca_system_score_codex":0.000023314597,"about_ca_system_score_gemma":0.000060822556,"threshold_uncertainty_score":0.45060295},"labels":[],"label_agreement":null},{"id":"W2032138985","doi":"10.1016/j.neulet.2014.06.013","title":"Serial processing in primary and secondary somatosensory cortex: A DCM analysis of human fMRI data in response to innocuous and noxious electrical stimulation","year":2014,"lang":"en","type":"article","venue":"Neuroscience Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières; Université de Montréal; Institut Universitaire de Gériatrie de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Somatosensory system; Neuroscience; Stimulation; Somatosensory evoked potential; Noxious stimulus; Secondary somatosensory cortex; Medicine; Psychology; Nociception; Internal medicine","score_opus":0.02416553894982335,"score_gpt":0.2769489557462741,"score_spread":0.2527834167964507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032138985","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99815476,0.0000035396831,0.00036506017,0.0011094826,0.00009220655,0.00022142113,0.000013884667,0.000022137736,0.000017535323],"genre_scores_gemma":[0.9918064,0.0000030732667,0.00008749436,0.008058319,0.000016705559,0.000004539374,0.000005631212,0.000009820959,0.000008045317],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9979103,0.00034283713,0.0003384102,0.00081345637,0.00031781077,0.0002771569],"domain_scores_gemma":[0.9991702,0.00027494246,0.00012486905,0.00034110696,0.0000128227275,0.00007606599],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066063873,0.00013194977,0.00026674717,0.0009211138,0.00012025236,0.000106687614,0.0002976219,0.000043984186,0.0000010911508],"category_scores_gemma":[0.0009635272,0.00013064395,0.000017251017,0.002227138,0.00020941139,0.00048090823,0.00022910639,0.00020928045,3.191116e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022905227,0.00003883448,0.022776747,0.000014465647,4.0780859e-7,0.00002220488,0.00012488963,0.00096443703,0.9711811,0.000017629896,0.000009290932,0.004620925],"study_design_scores_gemma":[0.0004436872,0.00019754343,0.8024537,0.000012190553,0.000014343496,0.0000128518095,0.0000041195444,0.19232373,0.004359272,0.000020722182,0.000032845717,0.00012502266],"about_ca_topic_score_codex":0.000039917722,"about_ca_topic_score_gemma":0.00006014819,"teacher_disagreement_score":0.96682185,"about_ca_system_score_codex":0.000042927142,"about_ca_system_score_gemma":0.000040105202,"threshold_uncertainty_score":0.53275055},"labels":[],"label_agreement":null},{"id":"W2032157210","doi":"10.1002/hbm.20759","title":"Oscillatory activity in parietal and dorsolateral prefrontal cortex during retention in visual short‐term memory: Additive effects of spatial attention and memory load","year":2009,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":101,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital; École de Technologie Supérieure; BGC Engineering (Canada); Université de Montréal","funders":"","keywords":"Dorsolateral prefrontal cortex; Dorsolateral; Psychology; Working memory; Interference theory; Neuroscience; Prefrontal cortex; Posterior parietal cortex; Visual memory; Short-term memory; Consumer neuroscience; Cognitive psychology; Term (time); Spatial memory; Cognition; Physics","score_opus":0.014006714590152713,"score_gpt":0.24531162536607978,"score_spread":0.23130491077592708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032157210","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989761,0.000015357056,0.0000740198,0.000049240603,0.00016504418,0.00050934544,0.000005786176,0.000033067616,0.0001720209],"genre_scores_gemma":[0.99973226,0.000009320145,0.0000063736175,0.00006338207,0.00006141459,0.000011089097,0.000007791122,0.0000117982145,0.00009657466],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984533,0.00022043395,0.00027646404,0.00053550233,0.00024281703,0.00027148868],"domain_scores_gemma":[0.99957097,0.0001166037,0.0001295962,0.00010688824,0.000017041346,0.000058887224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000260094,0.00018682591,0.00026312354,0.00023383817,0.00016857803,0.000054281398,0.000060002916,0.00009910765,0.000006084821],"category_scores_gemma":[0.00012368443,0.00020020282,0.00004939485,0.00013915078,0.00012483788,0.00046821928,0.00007750854,0.00025304704,5.8105576e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012280297,0.000085499654,0.010218206,0.00011877542,0.0000030399926,0.00005917445,0.00059078727,0.0000066215803,0.9822168,0.000028938017,0.0000019932982,0.006547372],"study_design_scores_gemma":[0.001203182,0.00028658443,0.9675311,0.00024996707,0.0000059656777,0.00002056521,0.00006595581,0.0054081324,0.024844985,0.00019129615,7.8762224e-7,0.00019147509],"about_ca_topic_score_codex":0.00012557542,"about_ca_topic_score_gemma":0.00032143435,"teacher_disagreement_score":0.95737183,"about_ca_system_score_codex":0.00013833558,"about_ca_system_score_gemma":0.00001595271,"threshold_uncertainty_score":0.8164034},"labels":[],"label_agreement":null},{"id":"W2032217783","doi":"10.1109/ccece.2013.6567778","title":"A self exciting point process model for neural spike sequences, and its rate estimation","year":2013,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"University of British Columbia","keywords":"Estimator; Poisson distribution; Point process; Spike train; Computer science; Mathematics; Statistics; Spike (software development); Applied mathematics; Algorithm","score_opus":0.03936261198926992,"score_gpt":0.2756075666339693,"score_spread":0.23624495464469936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032217783","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9677853,0.0000041212925,0.029038906,0.0017517798,0.00008834773,0.0007242613,0.0000053331446,0.00014670577,0.0004552419],"genre_scores_gemma":[0.99526596,0.000005829028,0.00231058,0.0013103319,0.000023990982,0.00012318791,0.0000027828628,0.000011381076,0.000945936],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992507,0.00002145185,0.00014706902,0.00029469808,0.000094162715,0.00019192848],"domain_scores_gemma":[0.99963903,0.000105837134,0.00006766415,0.00006319795,0.000065644956,0.00005864948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010474106,0.000099160156,0.000081264574,0.00004032449,0.00016233424,0.00014198269,0.0000724811,0.00003111846,0.000014819747],"category_scores_gemma":[0.00023447782,0.000068649584,0.00002158346,0.00009903005,0.000018211002,0.00074066914,0.00002492178,0.000058716774,0.00001160875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030498726,0.000062131636,0.00005945136,0.00035672865,0.0000030691044,0.0000027795097,0.0005519175,0.09085587,0.86918277,0.01941696,0.00021515603,0.019262683],"study_design_scores_gemma":[0.00018688556,0.000055964938,0.000055291497,0.000007288431,0.000003745443,0.000019952739,0.000018672812,0.96001506,0.025173053,0.014357036,0.0000043239497,0.00010274411],"about_ca_topic_score_codex":0.000008143649,"about_ca_topic_score_gemma":0.000003309996,"teacher_disagreement_score":0.86915916,"about_ca_system_score_codex":0.000014099545,"about_ca_system_score_gemma":0.000018234692,"threshold_uncertainty_score":0.27994487},"labels":[],"label_agreement":null},{"id":"W2032318283","doi":"10.1073/pnas.1114415109","title":"Contextual encoding by ensembles of medial prefrontal cortex neurons","year":2012,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":231,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Deutsche Forschungsgemeinschaft; National Alliance for Research on Schizophrenia and Depression","keywords":"Prefrontal cortex; Neuroscience; Hippocampal formation; Context (archaeology); Hippocampus; Psychology; Encoding (memory); Population; Cognitive psychology; Cognition; Biology; Medicine","score_opus":0.05713029821648391,"score_gpt":0.2967282778514071,"score_spread":0.23959797963492319,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032318283","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922206,0.000045565837,0.0000012348291,0.0008521855,0.00010854416,0.00013720879,0.000044712488,0.000009568908,0.006580369],"genre_scores_gemma":[0.99932855,0.00002454875,0.000082628474,0.00031518235,0.00008609032,0.0000041348953,1.15385944e-7,0.0000038607377,0.00015489255],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998182,0.000012120531,0.0003118339,0.00020183594,0.0010978437,0.00019438332],"domain_scores_gemma":[0.9990651,0.00031272828,0.00047301274,0.0000070168194,0.00009481955,0.00004729976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069385325,0.000087797926,0.00014172243,0.00009821513,0.0001707655,0.000013977717,0.00057566527,0.000056176545,0.000016178497],"category_scores_gemma":[0.0013244854,0.000058606485,0.00007052958,0.00044504984,0.00096043065,0.0006758491,0.00013486377,0.00013726854,0.0000010880077],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000149791995,0.000052345535,0.0038664613,0.00001728831,0.0000017149398,1.6335223e-9,0.00013082923,0.0000049593814,0.95679575,0.03825942,0.0006454191,0.00021081395],"study_design_scores_gemma":[0.0001356918,0.00007220595,0.042849064,0.00002788383,0.0000070918354,0.000010565463,0.00009537278,0.0008836377,0.95182306,0.0037971095,0.00023283873,0.00006546597],"about_ca_topic_score_codex":0.0000047928456,"about_ca_topic_score_gemma":5.559147e-8,"teacher_disagreement_score":0.038982604,"about_ca_system_score_codex":0.000019227196,"about_ca_system_score_gemma":0.000018431692,"threshold_uncertainty_score":0.35387468},"labels":[],"label_agreement":null},{"id":"W2032363396","doi":"10.3389/fnbeh.2013.00125","title":"Validation and extension of the reward-mountain model","year":2013,"lang":"en","type":"article","venue":"Frontiers in Behavioral Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Golder Associates (Canada); Concordia University","funders":"Canadian Institutes of Health Research; Concordia University","keywords":"Optogenetics; Brain stimulation reward; Stimulation; Psychology; Neuroscience; Reward system; Brain stimulation; Affect (linguistics); Cognitive psychology; Computer science; Communication","score_opus":0.039524521590903944,"score_gpt":0.27139128408475616,"score_spread":0.2318667624938522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032363396","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99581826,0.00000773358,0.0021930225,0.00041970602,0.0011035532,0.0003724225,0.000008304762,0.000020794952,0.00005619152],"genre_scores_gemma":[0.9982548,0.000029010716,0.00074448285,0.0005643049,0.000006749407,0.000018607276,4.0809795e-7,0.000009193161,0.00037247047],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99868745,0.000095516174,0.0002171368,0.0004478587,0.0003281635,0.00022387505],"domain_scores_gemma":[0.99948555,0.000019987177,0.00011266275,0.0002992394,0.000030707728,0.00005185392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014125372,0.00010961381,0.00012360739,0.00010830991,0.00014826552,0.00006302908,0.0003192873,0.00004491019,0.0000028403265],"category_scores_gemma":[0.00018757844,0.00007868359,0.000035706904,0.0005298578,0.00038110386,0.00051817065,0.00015731533,0.00016008601,0.0000012438243],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006004465,0.00005656458,0.032351293,0.0000037755976,3.3889613e-8,0.0000011318416,0.000048898557,0.001397161,0.9621937,0.00021430236,0.00040377857,0.0033233275],"study_design_scores_gemma":[0.00032633773,0.0001557817,0.20124605,0.000030636627,0.000008234001,0.000023184328,0.0000622291,0.525423,0.26605514,0.0063753934,0.00007136171,0.0002226527],"about_ca_topic_score_codex":0.0000536597,"about_ca_topic_score_gemma":0.000001922417,"teacher_disagreement_score":0.6961386,"about_ca_system_score_codex":0.00003154909,"about_ca_system_score_gemma":0.000024455963,"threshold_uncertainty_score":0.32086235},"labels":[],"label_agreement":null},{"id":"W2032434570","doi":"10.1073/pnas.0804045105","title":"Successful choice behavior is associated with distinct and coherent network states in anterior cingulate cortex","year":2008,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":126,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"National Institute of Mental Health; National Institute on Alcohol Abuse and Alcoholism; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Anterior cingulate cortex; Task (project management); Cognition; Neuroscience; Cingulate cortex; Psychology; Population; Cognitive psychology; Computer science; Medicine","score_opus":0.03784614737574305,"score_gpt":0.2851138749605231,"score_spread":0.24726772758478005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032434570","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987321,0.000022206857,2.1729784e-7,0.0006656807,0.000020326997,0.00019430298,0.000017863966,0.000009791288,0.00033752824],"genre_scores_gemma":[0.99941444,0.000042303556,0.00003950281,0.00035678243,0.000022345324,0.000010000894,1.2818741e-7,0.00000388232,0.000110588226],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985734,0.000009224627,0.00025236193,0.00027616427,0.0007212379,0.00016757555],"domain_scores_gemma":[0.99926513,0.00021111686,0.00039355358,0.0000059424165,0.0000956396,0.000028595143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041291962,0.00008997074,0.00015112835,0.000083850144,0.00025784154,0.000027031165,0.00031551332,0.00004142945,0.000007694143],"category_scores_gemma":[0.00043569962,0.00005566821,0.000026498758,0.00081372954,0.0008663277,0.00034701545,0.000089932226,0.00013664596,1.9922628e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024491668,0.000065241715,0.7704508,0.000015644799,0.000002795764,1.19054455e-7,0.00013010221,0.00008537352,0.22834246,0.000636301,0.00009575197,0.0001509256],"study_design_scores_gemma":[0.00022630565,0.00008827012,0.9577353,0.00012087897,0.0000065764034,0.000021049518,0.000019210329,0.005706587,0.033887964,0.0020976276,0.000015566604,0.00007468014],"about_ca_topic_score_codex":0.000026759422,"about_ca_topic_score_gemma":0.000002508091,"teacher_disagreement_score":0.19445449,"about_ca_system_score_codex":0.00002724643,"about_ca_system_score_gemma":0.000017128621,"threshold_uncertainty_score":0.31920207},"labels":[],"label_agreement":null},{"id":"W2032569327","doi":"10.1523/jneurosci.1292-11.2011","title":"Differentially Organized Top-Down Modulation of Prepulse Inhibition of Startle","year":2011,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Education and Child Care","funders":"National Key Research and Development Program of China; Peking University; National Natural Science Foundation of China","keywords":"Prepulse inhibition; Neuroscience; Psychology; Moro reflex; Stimulus (psychology); Startle response; Forebrain; Amygdala; Fear-potentiated startle; Sensory gating; Medial geniculate body; Fear conditioning; Nucleus accumbens; Acoustic Startle Reflex; Gating; Reflex; Cognitive psychology; Inferior colliculus; Schizophrenia (object-oriented programming); Central nervous system; Nucleus","score_opus":0.04304885875876142,"score_gpt":0.24634337299773107,"score_spread":0.20329451423896966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032569327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953402,0.0000031703048,0.0033989232,0.00006489684,0.0008123163,0.000095778174,0.0000073085894,0.000007782263,0.00026958878],"genre_scores_gemma":[0.99948066,0.000030391751,0.00023608925,0.00012681054,0.00003306403,4.461904e-7,2.0885317e-7,0.000008120673,0.00008417494],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984978,0.00010528858,0.0005600335,0.00018539476,0.0005136579,0.00013786407],"domain_scores_gemma":[0.99865407,0.00007027929,0.00084758864,0.00016491459,0.00019391475,0.000069262525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024343912,0.00009131436,0.00020197821,0.00019618623,0.000059260594,0.000017661152,0.00023228195,0.000034350993,0.000048913007],"category_scores_gemma":[0.00078806985,0.00007168249,0.000092665265,0.0004781469,0.00017176733,0.00052287616,0.00006153283,0.00013257969,0.0000012483999],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001166259,0.00018069273,0.0016761168,0.000014990492,6.269333e-7,0.000011840642,0.0001819768,0.000099314675,0.99662673,0.0004164679,0.00001787565,0.0006567655],"study_design_scores_gemma":[0.0003799866,0.0006870807,0.118344575,0.000031473002,0.000009810196,0.0000726872,0.0000127559215,0.0034552042,0.8754291,0.0014963215,0.00001935747,0.00006163274],"about_ca_topic_score_codex":0.000006656568,"about_ca_topic_score_gemma":0.0000011556178,"teacher_disagreement_score":0.12119759,"about_ca_system_score_codex":0.000017027995,"about_ca_system_score_gemma":0.00005989902,"threshold_uncertainty_score":0.29231268},"labels":[],"label_agreement":null},{"id":"W2032608262","doi":"10.1016/j.neuron.2014.11.021","title":"Attentional Filtering of Visual Information by Neuronal Ensembles in the Primate Lateral Prefrontal Cortex","year":2014,"lang":"en","type":"article","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":118,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Ottawa Hospital; McGill University; University of Ottawa; Montreal Neurological Institute and Hospital","funders":"","keywords":"Primate; Premovement neuronal activity; Neuroscience; Prefrontal cortex; Macaque; Psychology; Visual cortex; Cognition","score_opus":0.01127667890060542,"score_gpt":0.24097998857432013,"score_spread":0.22970330967371472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032608262","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978913,0.0000010037525,0.00026765408,0.0002821267,0.00030063067,0.0001430546,0.000021836355,0.000021839804,0.0010705759],"genre_scores_gemma":[0.99880916,0.000004627175,0.000011099167,0.0010407084,0.000030450925,0.000008371453,0.00002413595,0.0000065451613,0.00006493162],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990182,0.0001382609,0.00023946732,0.00015519814,0.00028973006,0.00015914558],"domain_scores_gemma":[0.9996215,0.00012973999,0.00011071405,0.00010394298,0.0000132595105,0.000020803245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012766955,0.00009392117,0.00008708779,0.000058893027,0.00006644772,0.000054819735,0.00016002706,0.000028415485,0.000019750967],"category_scores_gemma":[0.00008716256,0.00007091355,0.000040341685,0.000104344545,0.000043989367,0.00043690822,0.000049230406,0.00013191791,0.00001806414],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057059933,0.00006244504,0.0016368933,0.000021501666,5.339581e-7,0.0000012249005,0.00008468386,0.00013642994,0.99318403,0.0009927121,0.0003168042,0.0035056565],"study_design_scores_gemma":[0.0009603906,0.0008494054,0.8148474,0.000026068408,0.0000074139602,0.000058867685,0.000020581707,0.0987341,0.0754509,0.00040438023,0.008421219,0.0002192558],"about_ca_topic_score_codex":0.000014835429,"about_ca_topic_score_gemma":0.000005054234,"teacher_disagreement_score":0.91773313,"about_ca_system_score_codex":0.000011513124,"about_ca_system_score_gemma":0.000007564431,"threshold_uncertainty_score":0.28917706},"labels":[],"label_agreement":null},{"id":"W2032664567","doi":"10.1016/j.brs.2009.12.002","title":"Involvement of the human ventrolateral thalamus in the control of visually guided saccades","year":2009,"lang":"en","type":"article","venue":"Brain stimulation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; Toronto Western Hospital; University of Toronto","funders":"Deutsche Gesellschaft für Neurologie; Sir Jules Thorn Charitable Trust; Canadian Institutes of Health Research; Parkinson Society Canada; Medtronic","keywords":"Thalamus; Neuroscience; Superior colliculus; Saccade; Nucleus; Eye movement; Basal ganglia; Supplementary eye field; Psychology; Saccadic masking; Biology; Anatomy; Central nervous system","score_opus":0.03921118434863143,"score_gpt":0.3080106778552877,"score_spread":0.2687994935066563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032664567","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963475,0.0000063551074,0.00048473725,0.0022352904,0.00008723194,0.00047327456,0.0000051664106,0.000009235059,0.0003512096],"genre_scores_gemma":[0.9977451,7.7305816e-7,0.000010137288,0.0021537018,0.000031697113,0.000004585697,0.0000028654406,0.0000040609602,0.00004708757],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99889034,0.00024009618,0.00031850344,0.00014648733,0.0002908513,0.000113725655],"domain_scores_gemma":[0.9993024,0.0002555864,0.00020216058,0.000199592,0.000029519317,0.000010760923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037183324,0.00007795066,0.00011407681,0.00005716083,0.00007748259,0.000018056151,0.00021441565,0.000035445344,0.000009446291],"category_scores_gemma":[0.00024015243,0.000046065714,0.00006755061,0.00023496937,0.000047573318,0.00009292881,0.000015190354,0.00008309733,7.1445356e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003829191,0.0001119356,0.012403759,0.000007858492,0.000001659068,9.4285e-7,0.0003719803,0.016461382,0.95280415,0.016048888,0.000081265054,0.0016678686],"study_design_scores_gemma":[0.0014130957,0.00025114778,0.87809783,0.000031451797,0.000009320236,0.0000019634947,0.000020390975,0.08190456,0.028582208,0.009526173,0.00009205188,0.00006980249],"about_ca_topic_score_codex":0.000023784056,"about_ca_topic_score_gemma":0.000010952974,"teacher_disagreement_score":0.92422193,"about_ca_system_score_codex":0.0000216615,"about_ca_system_score_gemma":0.000011885363,"threshold_uncertainty_score":0.18785053},"labels":[],"label_agreement":null},{"id":"W2032947629","doi":"10.1186/1471-2202-10-s1-p156","title":"Slow population rhythms emerge in noisy inhibitory network models","year":2009,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inhibitory postsynaptic potential; Rhythm; Neuroscience; Population; Local field potential; Network model; Computer science; Physics; Biology; Artificial intelligence; Medicine","score_opus":0.04872193454150623,"score_gpt":0.2635927414509642,"score_spread":0.21487080690945795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032947629","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905751,0.000018559149,0.004843893,0.00037447162,0.002181401,0.00032923938,0.0000040432424,0.00015116499,0.0015221667],"genre_scores_gemma":[0.99511945,0.00003233232,0.00024715366,0.0038441652,0.00021015615,0.000010102459,0.000001790137,0.000013748875,0.0005211003],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976435,0.00015257206,0.00034817323,0.00081140845,0.0004861493,0.0005582185],"domain_scores_gemma":[0.99930125,0.00009454997,0.00012774696,0.00034419127,0.00001829957,0.00011395425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002779363,0.00019149658,0.00017049021,0.000150605,0.00026527353,0.0001061015,0.00032342313,0.000064229986,0.000005913274],"category_scores_gemma":[0.000328655,0.00018246639,0.00006939134,0.0012727173,0.00008297496,0.0009131822,0.000069936235,0.00023720789,0.000016858748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056368735,0.00014535116,0.005292002,0.000009345035,8.067307e-8,0.00005181568,0.000038395774,0.41080832,0.5436877,0.035153575,0.00042215886,0.0043348633],"study_design_scores_gemma":[0.00034210202,0.00021669423,0.18029964,0.000030439396,0.000002229362,0.000048507645,0.0000038171884,0.78670716,0.005429349,0.026128992,0.00045764144,0.0003334224],"about_ca_topic_score_codex":0.000026912861,"about_ca_topic_score_gemma":0.00004259181,"teacher_disagreement_score":0.5382584,"about_ca_system_score_codex":0.0000558008,"about_ca_system_score_gemma":0.00003518802,"threshold_uncertainty_score":0.7440764},"labels":[],"label_agreement":null},{"id":"W2033340861","doi":"10.1371/journal.pone.0123287","title":"Attenuation of High-Frequency (50-200 Hz) Thalamocortical EEG Rhythms by Propofol in Rats Is More Pronounced for the Thalamus than for the Cortex","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Unconsciousness; Propofol; Thalamus; Cortex (anatomy); Electroencephalography; Anesthesia; Neuroscience; Somatosensory system; Medicine; Chemistry; Psychology","score_opus":0.07830803859429558,"score_gpt":0.2702022101943632,"score_spread":0.1918941716000676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033340861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98362756,0.000089474604,0.0020500738,0.009707056,0.00023477383,0.004000735,0.00018043084,0.000036106703,0.00007381813],"genre_scores_gemma":[0.99720573,0.000044430602,0.0003924649,0.00058983825,0.00010520219,0.001049969,0.000025027959,0.000028372999,0.00055897067],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998398,0.00006287183,0.00033382364,0.0003884518,0.0005033585,0.0003135133],"domain_scores_gemma":[0.9984753,0.00070518156,0.00019120424,0.00039125714,0.00017859176,0.00005844095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037079153,0.00016198645,0.00022710486,0.000041039806,0.00015513715,0.000043810825,0.00027643828,0.00007896184,0.000011052571],"category_scores_gemma":[0.00090613245,0.000092987524,0.000074180876,0.00024397385,0.00018114934,0.00018097182,0.000047089336,0.00015621513,0.000006228792],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032996293,0.0008233555,0.0036999045,0.000087529865,0.000037765283,0.0000012485377,0.00053369504,0.000050468734,0.9878274,0.004486096,0.00088991463,0.0012326111],"study_design_scores_gemma":[0.0039211176,0.0019079613,0.055223905,0.00018883079,0.00033890712,0.000012552627,0.0004497587,0.19564359,0.7251244,0.016291307,0.00034744185,0.00055022846],"about_ca_topic_score_codex":0.000116288364,"about_ca_topic_score_gemma":0.000053637847,"teacher_disagreement_score":0.26270306,"about_ca_system_score_codex":0.00007093313,"about_ca_system_score_gemma":0.00009900972,"threshold_uncertainty_score":0.3791921},"labels":[],"label_agreement":null},{"id":"W2033897489","doi":"10.3389/fncir.2014.00011","title":"Information-geometric measures estimate neural interactions during oscillatory brain states","year":2014,"lang":"en","type":"article","venue":"Frontiers in Neural Circuits","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Alberta Innovates; National Science Foundation","keywords":"Pairwise comparison; Artificial neural network; Oscillation (cell signaling); Measure (data warehouse); Biological system; Computer science; Binary number; Statistical physics; Neuroscience; Neural activity; Pattern recognition (psychology); Artificial intelligence; Physics; Mathematics; Psychology; Chemistry; Biology; Data mining","score_opus":0.015759886571161858,"score_gpt":0.2402106381527352,"score_spread":0.22445075158157332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033897489","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9856655,0.000048770973,0.006485617,0.001001845,0.0048750173,0.0003397584,0.000033603184,0.00023533282,0.0013145428],"genre_scores_gemma":[0.9975135,0.000021094755,0.00006361826,0.00193745,0.00010569485,0.000031758686,0.000022105934,0.000026833844,0.00027795797],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978607,0.0002310605,0.00051379227,0.00037486933,0.00046756747,0.00055196637],"domain_scores_gemma":[0.998926,0.0003227142,0.00021235531,0.00031847655,0.00006399249,0.00015649747],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027212547,0.00027064397,0.00029251352,0.0010793025,0.00032537855,0.00023173205,0.00035555335,0.00007409004,0.000020618494],"category_scores_gemma":[0.00161704,0.00026289705,0.00010723774,0.0013636155,0.000110816996,0.0017707269,0.00008921109,0.00046007487,0.000050715335],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024322553,0.00026096747,0.14379142,0.00043143297,0.000037961963,0.0000694724,0.0019251873,0.15389948,0.16580823,0.001084248,0.03170016,0.5007482],"study_design_scores_gemma":[0.0020236117,0.00022847952,0.15048084,0.00007756826,0.000021616055,0.00018324853,0.00023478792,0.8122023,0.0148194255,0.002081048,0.016704323,0.0009427484],"about_ca_topic_score_codex":0.000029213994,"about_ca_topic_score_gemma":0.000018689352,"teacher_disagreement_score":0.65830284,"about_ca_system_score_codex":0.00017866418,"about_ca_system_score_gemma":0.000022007504,"threshold_uncertainty_score":0.9999823},"labels":[],"label_agreement":null},{"id":"W2034137809","doi":"10.1007/s00426-010-0282-7","title":"Increasing stimulus intensity does not affect sensorimotor synchronization","year":2010,"lang":"en","type":"article","venue":"Psychological Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"International Laboratory for Brain, Music and Sound Research","funders":"","keywords":"Affect (linguistics); Stimulus (psychology); Psychology; Neuroscience; Cognitive psychology; Communication","score_opus":0.13766089931638453,"score_gpt":0.4311718853426371,"score_spread":0.2935109860262526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034137809","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99139404,0.0000017806773,0.00045582096,0.001909466,0.0012622843,0.00036798904,0.000009759744,0.00013639015,0.004462462],"genre_scores_gemma":[0.997946,0.000021424648,0.0003021578,0.00075486436,0.0003411668,0.000018161987,0.000003193006,0.000015316562,0.0005976914],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9972098,0.0006726435,0.00017422157,0.0007010987,0.0007036212,0.00053862773],"domain_scores_gemma":[0.9972242,0.0019343705,0.000040701598,0.00040445453,0.00020749928,0.00018873635],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0019677358,0.00012561826,0.00015071273,0.00015471497,0.00043691447,0.0001733414,0.00033728773,0.00017676133,0.0004078445],"category_scores_gemma":[0.014634094,0.000077636796,0.000058845668,0.00057153474,0.0004410135,0.00014011384,0.00018658751,0.0013161921,0.0003827789],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036735705,0.00015701597,0.0024279885,0.000006786265,0.0000010640766,0.000051966792,0.000014266392,0.000003695329,0.97608584,0.002037212,0.00023791438,0.018608911],"study_design_scores_gemma":[0.0014938494,0.0019882484,0.3644184,0.00004561144,0.00000964943,0.00052630296,0.000053845615,0.048990287,0.5604187,0.016855214,0.0044843224,0.0007155296],"about_ca_topic_score_codex":0.00004828853,"about_ca_topic_score_gemma":0.000015164939,"teacher_disagreement_score":0.41566706,"about_ca_system_score_codex":0.000047046142,"about_ca_system_score_gemma":0.000015169701,"threshold_uncertainty_score":0.99366605},"labels":[],"label_agreement":null},{"id":"W2034192766","doi":"10.3389/fninf.2012.00001","title":"PLDAPS: A Hardware Architecture and Software Toolbox for Neurophysiology Requiring Complex Visual Stimuli and Online Behavioral Control","year":2012,"lang":"en","type":"article","venue":"Frontiers in Neuroinformatics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":155,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Eye Institute; National Institutes of Health","keywords":"Toolbox; Computer science; Neurophysiology; Software; MATLAB; Human–computer interaction; Flexibility (engineering); Artificial intelligence; Neuroscience; Programming language","score_opus":0.04396711472787427,"score_gpt":0.2979272325771324,"score_spread":0.2539601178492581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034192766","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9507622,0.00004734788,0.0469339,0.00020626717,0.001024968,0.00068095344,0.00024658264,0.000080574064,0.000017164642],"genre_scores_gemma":[0.9823613,0.00005783164,0.014824332,0.0024819002,0.00012867403,0.000024260367,0.000048799833,0.00003468868,0.000038225822],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986264,0.00007416347,0.00039068464,0.0002481035,0.00015397859,0.000506683],"domain_scores_gemma":[0.99924093,0.00026124404,0.00015048259,0.0001702619,0.000024430645,0.00015266324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000084466075,0.00023630259,0.00034015038,0.00017799319,0.00018294793,0.000074524316,0.00014194594,0.00008430548,0.0000023954672],"category_scores_gemma":[0.00042339574,0.0002142635,0.000053027,0.00014206729,0.0001952935,0.0004924223,0.00009731063,0.00030556315,0.0000010025493],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004033401,0.002163015,0.1722087,0.0024041364,0.00006623662,0.00012037523,0.008490689,0.01803987,0.2910226,0.0014032271,0.011720329,0.48832744],"study_design_scores_gemma":[0.0062001576,0.0022832206,0.118102804,0.00008296223,0.00010459834,0.00022410208,0.0006126414,0.8553741,0.00094558287,0.0011204671,0.013993389,0.00095595623],"about_ca_topic_score_codex":0.0000029669498,"about_ca_topic_score_gemma":0.0000026762086,"teacher_disagreement_score":0.8373343,"about_ca_system_score_codex":0.000024484045,"about_ca_system_score_gemma":0.000015524634,"threshold_uncertainty_score":0.8737412},"labels":[],"label_agreement":null},{"id":"W2034227647","doi":"10.1016/j.jtbi.2010.03.048","title":"Detecting and estimating rectification of gap junction conductance based on simulations of dual-cell recordings from a pair and a network of coupled cells","year":2010,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Ottawa","keywords":"Gap junction; Rectification; Conductance; Coupling (piping); Electrophysiology; Biological system; Physics; Biophysics; Chemistry; Intracellular; Computer science; Neuroscience; Voltage; Materials science; Biology; Condensed matter physics","score_opus":0.018387220288498537,"score_gpt":0.2589501639576027,"score_spread":0.24056294366910413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034227647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9875689,0.000008744272,0.011412424,0.000209497,0.0006365556,0.000084770014,0.000010232316,0.0000040268105,0.0000648299],"genre_scores_gemma":[0.9924121,0.0000069625253,0.007430767,0.00006027727,0.00008048977,5.5194545e-7,0.0000010485421,0.0000059503495,0.0000018510175],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99904543,0.00017144004,0.0004616853,0.00014563494,0.000083942265,0.00009189176],"domain_scores_gemma":[0.995999,0.0029629269,0.0007660942,0.00009591333,0.0001357374,0.00004035073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054596324,0.000074307995,0.00025103847,0.000064203254,0.000053386037,0.000006888118,0.000046324487,0.00009509859,0.000027698834],"category_scores_gemma":[0.002237326,0.000056710116,0.000045117245,0.00013567325,0.0004182724,0.000048365957,0.000018874704,0.00025037272,1.4241074e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028764497,0.000047360776,0.0011158059,0.00001789234,0.000003637386,4.9824723e-7,0.00003092915,0.0023191683,0.98625046,0.008357707,0.000004240175,0.0015646471],"study_design_scores_gemma":[0.0004356714,0.0007484925,0.00053384143,0.00005690786,0.000028156033,0.000012092092,0.000014402728,0.509645,0.44785762,0.040610645,0.00000668662,0.000050484803],"about_ca_topic_score_codex":0.000008163911,"about_ca_topic_score_gemma":0.000002142395,"teacher_disagreement_score":0.53839284,"about_ca_system_score_codex":0.0000075787993,"about_ca_system_score_gemma":0.00001913273,"threshold_uncertainty_score":0.26784497},"labels":[],"label_agreement":null},{"id":"W2034260322","doi":"10.1016/j.bpj.2008.12.1240","title":"pH-Dependent Regulation of rNaV1.2 Channel Inactivation","year":2009,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Extracellular; Protonation; Chemistry; Biophysics; Kinetics; Sodium channel; Sodium; Stimulation; Steady state (chemistry); Biochemistry; Ion; Biology; Neuroscience; Physical chemistry","score_opus":0.024967983440900364,"score_gpt":0.2541648823369453,"score_spread":0.22919689889604491,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034260322","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99399024,0.0000013488323,0.0034371251,0.0013085152,0.0003579744,0.00006528132,0.0000024380945,0.000020054144,0.0008170108],"genre_scores_gemma":[0.9990939,0.000012502854,0.00003651102,0.0002998724,0.00038488416,5.324034e-7,0.0000010769686,0.0000050367794,0.00016568482],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991667,0.000055399785,0.00019386574,0.00013730359,0.00031942988,0.00012724996],"domain_scores_gemma":[0.99956274,0.000042103857,0.00019285052,0.00008657874,0.000055211305,0.00006049087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008239518,0.00007528892,0.00010373139,0.00007152101,0.000108877364,0.000038817314,0.00009888852,0.000037210295,0.000018536539],"category_scores_gemma":[0.000104664854,0.000060214763,0.000072127965,0.00018692344,0.000027845843,0.00026818426,0.000011685218,0.00016914682,0.000013374114],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059255144,0.00012352417,0.0000046685113,0.0000017483271,0.0000011797366,0.000003540317,0.000023359678,0.00020045257,0.98347706,0.00532795,0.00007984863,0.0106974095],"study_design_scores_gemma":[0.00027811018,0.00035398646,0.016693616,0.00001594585,0.0000054868806,0.000061678686,0.000008302633,0.011171409,0.96048343,0.010781006,0.000069631,0.00007739025],"about_ca_topic_score_codex":0.0000017267524,"about_ca_topic_score_gemma":1.1685549e-7,"teacher_disagreement_score":0.022993626,"about_ca_system_score_codex":0.000044163306,"about_ca_system_score_gemma":0.00001420284,"threshold_uncertainty_score":0.24554868},"labels":[],"label_agreement":null},{"id":"W2034666745","doi":"10.1109/iembs.2010.5627158","title":"Combination of PCA and undecimated wavelet transform for neural data processing","year":2010,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Spike sorting; Principal component analysis; Pattern recognition (psychology); Artificial intelligence; Computer science; Wavelet transform; Cluster analysis; Sorting; Wavelet; Spike (software development); Artificial neural network; Algorithm","score_opus":0.061695026778691396,"score_gpt":0.3028553007693039,"score_spread":0.2411602739906125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034666745","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99254537,0.0000021105204,0.0042381515,0.0013622722,0.0002107584,0.00028760597,0.000054975786,0.000041229217,0.0012575585],"genre_scores_gemma":[0.9990399,0.0000037446036,0.0005062194,0.00019770971,0.000012301632,0.0000037717332,0.000034663524,0.0000068058907,0.00019489486],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994978,0.0000068458958,0.00011668067,0.00020114209,0.00008690516,0.0000906587],"domain_scores_gemma":[0.99966896,0.00009139765,0.00004369068,0.00014065637,0.000031613235,0.00002366934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010612777,0.00005308685,0.000067665,0.000035544013,0.00007966025,0.00003805213,0.00013032254,0.000030923235,0.000011236356],"category_scores_gemma":[0.0001307522,0.000041145377,0.0000105168965,0.00009388973,0.000056790817,0.0003460723,0.000028819955,0.000065330794,3.7092542e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000274975,0.00003950049,0.00003169482,0.000044934488,4.9970595e-7,3.2894636e-7,0.000021223625,0.0000013531532,0.8941369,0.0062170457,0.000082404855,0.09939664],"study_design_scores_gemma":[0.00063942553,0.00012679277,0.0010973174,0.000005151028,0.000007630261,0.000020651163,0.000015147752,0.7693122,0.22261679,0.005250108,0.000826404,0.00008239752],"about_ca_topic_score_codex":0.000007405173,"about_ca_topic_score_gemma":0.000044449385,"teacher_disagreement_score":0.76931083,"about_ca_system_score_codex":0.0000022888444,"about_ca_system_score_gemma":0.000011656241,"threshold_uncertainty_score":0.16778597},"labels":[],"label_agreement":null},{"id":"W2034727674","doi":"10.1006/brcg.1999.1191","title":"Dynamics and Variability of Brain Activation: Searching for Neural Correlates of Skill Acquisition","year":2000,"lang":"en","type":"article","venue":"Brain and Cognition","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Psychology; Attentional blink; Rapid serial visual presentation; Disengagement theory; Cognitive psychology; Visual search; Task (project management); Neuroscience; Cognition; Serial reaction time; Audiology; Developmental psychology","score_opus":0.014274913500057855,"score_gpt":0.2549449781226865,"score_spread":0.24067006462262866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034727674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922195,0.0000043746977,0.0041200547,0.0025064887,0.000046890797,0.00033762836,0.00010144068,0.000020239864,0.00064340327],"genre_scores_gemma":[0.9989729,0.000019710254,0.00011391497,0.0006072541,0.000026434016,0.000013131807,0.00006660846,0.00000801496,0.00017206756],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992292,0.000121666955,0.00019330044,0.00023393118,0.000113083894,0.00010879612],"domain_scores_gemma":[0.9986069,0.0011514635,0.00008876314,0.0000732708,0.0000441962,0.00003538832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029569713,0.00008212991,0.00012122923,0.000055702036,0.00011023846,0.000022157063,0.000035224566,0.00005643555,0.000046622274],"category_scores_gemma":[0.0004314206,0.00007883434,0.00003492821,0.00012500577,0.00015534699,0.00022025846,0.000016546008,0.000072010866,4.385074e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008796498,0.00024360612,0.002112476,0.0003907802,0.00001238541,0.0000011380259,0.00052599685,0.00021762299,0.6149624,0.054944113,0.00009671582,0.32561314],"study_design_scores_gemma":[0.0021935303,0.0009300313,0.077686295,0.00016477818,0.000039683862,0.000048823,0.0001544494,0.6963568,0.07641981,0.14565536,0.000056608227,0.0002938385],"about_ca_topic_score_codex":0.000008153238,"about_ca_topic_score_gemma":0.0000033349338,"teacher_disagreement_score":0.69613916,"about_ca_system_score_codex":0.000011202319,"about_ca_system_score_gemma":0.0000097504935,"threshold_uncertainty_score":0.3214771},"labels":[],"label_agreement":null},{"id":"W2034804554","doi":"10.1167/8.6.901","title":"Perception of biological motion across the visual field","year":2010,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Foveal; Visual field; Stimulus (psychology); Magnification; Fixation point; Psychophysics; Optics; Mathematics; Visual angle; Motion perception; Perception; Physics; Communication; Artificial intelligence; Psychology; Computer vision; Computer science; Cognitive psychology","score_opus":0.029997787141683527,"score_gpt":0.34920758628203075,"score_spread":0.3192097991403472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034804554","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966378,0.0000026163934,0.00109364,0.0010917891,0.0010400955,0.000042949054,0.0000011836296,0.000004394386,0.00008552577],"genre_scores_gemma":[0.9993003,0.00004029947,0.000071132,0.00034149195,0.00021206703,2.2867756e-7,2.4917787e-7,0.000002862849,0.000031384418],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993299,0.000068891604,0.00023468469,0.00007804279,0.00020505741,0.00008338975],"domain_scores_gemma":[0.99934673,0.00023570776,0.00024534052,0.00007396951,0.00006969125,0.000028575967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043609407,0.00004837147,0.00008534655,0.0000305507,0.00009970004,0.00002775739,0.00013457719,0.000069467846,0.0000833593],"category_scores_gemma":[0.0006285951,0.000024248142,0.00009082674,0.00009775895,0.000060704835,0.00015120575,0.000036300196,0.00031760466,0.0000065373238],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007511012,0.00006128643,0.0008852053,0.0000017629529,6.269698e-7,0.0000023731855,0.00006543285,0.000012667172,0.93929034,0.00016342319,0.00013962366,0.05930216],"study_design_scores_gemma":[0.0008866881,0.004883306,0.58551526,0.000054831336,0.000013566041,0.0005484517,0.00047483633,0.013041125,0.38783523,0.0037348445,0.0028512378,0.00016062472],"about_ca_topic_score_codex":0.0000029609955,"about_ca_topic_score_gemma":0.0000017502113,"teacher_disagreement_score":0.58463,"about_ca_system_score_codex":0.0000070198844,"about_ca_system_score_gemma":0.000006859634,"threshold_uncertainty_score":0.13798518},"labels":[],"label_agreement":null},{"id":"W2034845144","doi":"10.1016/j.jneumeth.2006.09.024","title":"A nonparametric approach for detection of bursts in spike trains","year":2006,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":77,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Spike (software development); Nonparametric statistics; Computer science; Artificial intelligence; Spike train; Pattern recognition (psychology); Neuroscience; Speech recognition; Econometrics; Mathematics; Psychology","score_opus":0.07787620585938299,"score_gpt":0.36873540293334967,"score_spread":0.2908591970739667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034845144","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49092597,0.000017503584,0.5078515,0.000067480716,0.0007465467,0.00017404942,0.0000029409966,0.0000061848723,0.0002078608],"genre_scores_gemma":[0.93015975,0.000016390602,0.06943238,0.00018316395,0.00009618822,0.000006214598,1.10424544e-7,0.000011728865,0.000094096766],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99795175,0.00040576968,0.0006651968,0.00030291465,0.00040231182,0.0002720717],"domain_scores_gemma":[0.9983084,0.00073662144,0.0006490429,0.00014580836,0.000097313015,0.00006277206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020603172,0.0001248854,0.00030685475,0.0008311735,0.00008496375,0.000048635193,0.00036307445,0.00005987451,8.637474e-7],"category_scores_gemma":[0.003386528,0.0001002092,0.00018420849,0.002167641,0.00016669503,0.00036895566,0.000029994308,0.00025563323,1.2384739e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006824922,0.00019645368,0.00015490732,0.00001905965,2.6213687e-7,0.0000065836343,0.000018158456,0.0044654408,0.96823466,0.00033485226,0.000006481359,0.026494876],"study_design_scores_gemma":[0.0006663274,0.00094354147,0.022282835,0.000012411084,0.000011475147,0.00030586665,0.000017048182,0.15987258,0.8124631,0.0026158036,0.00068593514,0.00012310059],"about_ca_topic_score_codex":0.000011860765,"about_ca_topic_score_gemma":0.0000020380694,"teacher_disagreement_score":0.43923378,"about_ca_system_score_codex":0.000055823843,"about_ca_system_score_gemma":0.000057081317,"threshold_uncertainty_score":0.40864128},"labels":[],"label_agreement":null},{"id":"W2034951449","doi":"10.1016/j.cub.2014.09.046","title":"Burst Firing Synchronizes Prefrontal and Anterior Cingulate Cortex during Attentional Control","year":2014,"lang":"en","type":"article","venue":"Current Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":124,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Western Hospital; University of Toronto; York University; Western University","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Anterior cingulate cortex; Biology; Prefrontal cortex; Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Bursting; Local field potential; Synchronization (alternating current); Cognition; Computer science","score_opus":0.014619924426341331,"score_gpt":0.25649311551993337,"score_spread":0.24187319109359204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034951449","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962299,0.0002772838,0.0015992045,0.00013723294,0.0014875958,0.00012250272,0.000018384213,0.000049195583,0.0000787066],"genre_scores_gemma":[0.99952203,0.000080252474,0.000011433357,0.00008473803,0.00020225067,0.000009342433,0.000007606061,0.000007748782,0.00007459863],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991258,0.00008520933,0.00015687424,0.00035724105,0.000052935866,0.00022194389],"domain_scores_gemma":[0.9996864,0.00007624428,0.00007750414,0.000093485956,0.000013547938,0.000052768242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000076004595,0.00010965118,0.0001466459,0.000049486396,0.0001636391,0.000029052493,0.000082024184,0.000041681662,0.000028129807],"category_scores_gemma":[0.00011937169,0.00009135018,0.000041873547,0.000039867457,0.00013832033,0.00006951281,0.00006784947,0.000110340734,0.00001679336],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032168933,0.000020455198,0.012949504,0.000029852661,0.000003458287,0.0000015185237,0.0000096849035,0.000006754114,0.9618923,0.0020105,0.0000060089465,0.023037767],"study_design_scores_gemma":[0.0027023389,0.00037143158,0.9468214,0.00012079363,0.000025595511,0.00016946458,0.0000045090414,0.032404684,0.010317214,0.0027121243,0.003969027,0.0003814256],"about_ca_topic_score_codex":0.0000025874297,"about_ca_topic_score_gemma":0.0000047681865,"teacher_disagreement_score":0.9515751,"about_ca_system_score_codex":0.000021649024,"about_ca_system_score_gemma":0.000006221941,"threshold_uncertainty_score":0.37251523},"labels":[],"label_agreement":null},{"id":"W2035148124","doi":"10.1016/j.neuroimage.2010.05.017","title":"A least angle regression method for fMRI activation detection in phase-encoded experimental designs","year":2010,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institut National de la Santé et de la Recherche Médicale; Canadian Institutes of Health Research; Department for Employment and Learning, Northern Ireland","keywords":"Design matrix; Functional magnetic resonance imaging; Computer science; General linear model; Generalized linear model; Regression analysis; Linear regression; Artificial intelligence; Linear model; Pattern recognition (psychology); Matrix (chemical analysis); Algorithm; Machine learning","score_opus":0.06928865771607012,"score_gpt":0.3619215594423909,"score_spread":0.2926329017263208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035148124","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9195023,0.0000013692377,0.078196265,0.00028785042,0.00083524204,0.00060217915,0.000010731814,0.000101117825,0.00046293056],"genre_scores_gemma":[0.9955173,0.0000014390646,0.0035007133,0.00048683916,0.000121855934,0.0001138605,0.0000064990154,0.00003117181,0.0002202809],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99870014,0.00015093233,0.00020651826,0.0005167039,0.00018088438,0.0002448227],"domain_scores_gemma":[0.9992751,0.00029967472,0.000117309755,0.00022109285,0.000026811773,0.000060015154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021497197,0.0001549168,0.00013682849,0.000165411,0.00019362885,0.00007580074,0.00013407881,0.00008433806,0.0000384042],"category_scores_gemma":[0.00057316397,0.00013786324,0.00007000375,0.0002984219,0.000039669754,0.00044839384,0.000037289894,0.0003109098,0.000009871794],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028239036,0.0002516524,0.000012162844,0.0000066009266,4.10994e-7,0.000006409523,0.00006873711,0.000018268536,0.9700908,0.00020083191,0.000087271204,0.02897443],"study_design_scores_gemma":[0.0013644525,0.00041492033,0.0002972327,0.000008411416,0.0000026992413,0.000024645771,0.000025047893,0.089061335,0.90743375,0.00033966886,0.0009008927,0.0001269651],"about_ca_topic_score_codex":0.000020017033,"about_ca_topic_score_gemma":0.000026557384,"teacher_disagreement_score":0.089043066,"about_ca_system_score_codex":0.00003661595,"about_ca_system_score_gemma":0.000017555187,"threshold_uncertainty_score":0.56219},"labels":[],"label_agreement":null},{"id":"W2035300294","doi":"10.1186/1471-2202-8-s2-p148","title":"Task and timing in visual processing","year":2007,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Stimulus (psychology); Perception; Computer science; Visual perception; Visual cortex; Cognitive psychology; Psychology; Artificial intelligence; Neuroscience","score_opus":0.055758679319225006,"score_gpt":0.31837590481147526,"score_spread":0.26261722549225025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035300294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909941,0.000012360562,0.007460335,0.000074626434,0.00034496924,0.00012619839,7.417526e-7,0.00005582938,0.0009308688],"genre_scores_gemma":[0.99812305,0.000008267464,0.00018523421,0.0013967517,0.000033354514,0.0000026912037,1.13607264e-7,0.000009256037,0.00024130881],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99863344,0.000037860504,0.00018029685,0.0005307529,0.0002574788,0.00036015923],"domain_scores_gemma":[0.9995862,0.00016128659,0.000061941304,0.00009279425,0.000010507896,0.000087244705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039125717,0.00010135342,0.00008439393,0.00016266914,0.00019643125,0.00011988875,0.0001570795,0.000029006162,0.0000019340494],"category_scores_gemma":[0.00067957613,0.00009186734,0.000015949796,0.0007237395,0.0001957408,0.0004028503,0.00009269306,0.00013986327,0.0000047486546],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001562584,0.00003223398,0.009275269,0.000012447547,1.1841951e-8,0.000034626315,0.000049161474,0.00006356359,0.9767267,0.00040548726,0.0000034446355,0.013381405],"study_design_scores_gemma":[0.0006336396,0.00028549452,0.4359196,0.000062662926,0.0000030315784,0.00030586572,0.00008545004,0.29936662,0.26026684,0.0007472066,0.00185179,0.00047177201],"about_ca_topic_score_codex":0.0000074119325,"about_ca_topic_score_gemma":0.000033327186,"teacher_disagreement_score":0.7164599,"about_ca_system_score_codex":0.000020584277,"about_ca_system_score_gemma":0.000033408352,"threshold_uncertainty_score":0.37462413},"labels":[],"label_agreement":null},{"id":"W2035326569","doi":"10.1038/nn1027","title":"Superior colliculus encodes distance to target, not saccade amplitude, in multi-step gaze shifts","year":2003,"lang":"en","type":"article","venue":"Nature Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":92,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research","keywords":"Saccade; Gaze; Superior colliculus; Fixation (population genetics); Neuroscience; Psychology; Eye movement; Neural substrate; Communication; Computer vision; Biology; Computer science; Cognition; Genetics","score_opus":0.02833488854917168,"score_gpt":0.2917118712481755,"score_spread":0.26337698269900384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035326569","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9819179,0.00010267175,0.010005238,0.0014721756,0.0037532137,0.0009872128,0.00008540007,0.00017968005,0.0014964791],"genre_scores_gemma":[0.9801795,0.00003853961,0.0019958268,0.016154042,0.0000375464,0.00006013929,0.0000010371044,0.000032968357,0.0015003966],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9962644,0.00024545548,0.00038663528,0.0014681708,0.000793448,0.0008419162],"domain_scores_gemma":[0.99871427,0.00029627842,0.000102106824,0.00052704447,0.000055949793,0.00030436908],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038844778,0.0003422212,0.00029702386,0.000259906,0.00034976006,0.0002681417,0.00082575827,0.00022565997,0.000024970288],"category_scores_gemma":[0.005038092,0.0003032764,0.0000902738,0.0023802917,0.00023657673,0.0005326549,0.0001336537,0.0009891831,0.00004477864],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047653313,0.00017198922,0.0030766265,0.000013051431,2.297212e-7,0.00017669775,0.00009706711,0.0010411503,0.9833899,0.011430782,0.00017329589,0.00038153894],"study_design_scores_gemma":[0.0017772071,0.0005275929,0.15959187,0.00010967039,0.000008264668,0.00025025025,0.00007562428,0.040410817,0.62043864,0.0005937992,0.174734,0.001482282],"about_ca_topic_score_codex":0.000018200628,"about_ca_topic_score_gemma":0.00014476108,"teacher_disagreement_score":0.36295128,"about_ca_system_score_codex":0.00013366273,"about_ca_system_score_gemma":0.00010530874,"threshold_uncertainty_score":0.99994195},"labels":[],"label_agreement":null},{"id":"W2035555225","doi":"10.1186/1471-2202-13-s1-p96","title":"Optimal neural coding in networks of heterogeneous neurons","year":2012,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"General Dynamics (Canada); University of Ottawa","funders":"","keywords":"Neural coding; Computer science; Artificial neural network; Neuroscience; Coding (social sciences); Information processing; Population; Biological neural network; Synchronization (alternating current); Network dynamics; Artificial intelligence; Biology; Machine learning; Telecommunications; Mathematics","score_opus":0.057512291050261045,"score_gpt":0.27680255937998977,"score_spread":0.21929026832972873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035555225","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920114,0.00002798298,0.0053060167,0.000054559056,0.0020360334,0.00021911613,0.0000059932363,0.00005987382,0.00027899677],"genre_scores_gemma":[0.99873614,0.000026105605,0.000114016206,0.0009006495,0.00008888579,0.00001151365,4.8185154e-7,0.000019942956,0.00010224394],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979071,0.00019891957,0.0003415401,0.00050484156,0.00034858007,0.00069900055],"domain_scores_gemma":[0.99903625,0.00030528658,0.00015210958,0.0003251955,0.000015677639,0.0001654739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002676468,0.00017904498,0.00019318782,0.00016569857,0.00013984735,0.000051240648,0.00045125926,0.00004889327,0.000012349383],"category_scores_gemma":[0.00066566764,0.00016659501,0.00008522595,0.0008687558,0.00026863575,0.0005323425,0.00020213058,0.00023841768,0.0000063703114],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003227804,0.0001283863,0.026196802,0.000010937426,1.05252546e-7,0.00001634536,0.000039884562,0.13584895,0.8361919,0.00096339977,0.00001268986,0.00055831665],"study_design_scores_gemma":[0.00026231754,0.00017247975,0.0909643,0.00001165361,0.0000037130612,0.00020820794,0.000007922294,0.8338548,0.07405392,0.000016647567,0.00022688291,0.00021713943],"about_ca_topic_score_codex":0.000010843171,"about_ca_topic_score_gemma":0.0000072796947,"teacher_disagreement_score":0.762138,"about_ca_system_score_codex":0.00002500838,"about_ca_system_score_gemma":0.000023779126,"threshold_uncertainty_score":0.6793547},"labels":[],"label_agreement":null},{"id":"W2036007168","doi":"10.1016/s0278-2626(01)80062-2","title":"Refutation of poffenberger's inference: An existence proof and a countermodel","year":2001,"lang":"en","type":"article","venue":"Brain and Cognition","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Psychology; Synonym (taxonomy); Inference; Cognitive psychology; Visual field; Audiology; Neuroscience; Artificial intelligence; Computer science; Medicine","score_opus":0.04525612774541347,"score_gpt":0.29323571678499627,"score_spread":0.2479795890395828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036007168","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956056,0.000016148191,0.0016672009,0.0004028167,0.00006170807,0.00015784701,0.000014189608,0.00002464746,0.0020498815],"genre_scores_gemma":[0.998743,0.000105964915,0.000070274575,0.0008340882,0.000026841486,0.00001287488,0.000017372753,0.0000057994025,0.00018379164],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937356,0.00006033072,0.00012642378,0.00022464394,0.00012243191,0.00009262433],"domain_scores_gemma":[0.9996462,0.000117955016,0.00007204117,0.00006562942,0.00005164186,0.000046526304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010867822,0.000071871276,0.00007853652,0.000057749243,0.00008449969,0.00003928303,0.000031899093,0.000039918094,0.000012723406],"category_scores_gemma":[0.00021846629,0.000065565626,0.000011973503,0.00011506277,0.000092766,0.00032305956,0.000016915046,0.00005394861,0.0000013502906],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015665805,0.00009766566,0.00069002743,0.000050451657,0.000002161641,0.000009095785,0.0003195021,0.000006547586,0.8834404,0.009004863,0.00003467431,0.10618797],"study_design_scores_gemma":[0.00443729,0.0031851341,0.10914671,0.00048822752,0.00009241345,0.00073837384,0.0008149767,0.44532314,0.20905548,0.2239486,0.0016560501,0.0011136032],"about_ca_topic_score_codex":0.000010479497,"about_ca_topic_score_gemma":0.000015269847,"teacher_disagreement_score":0.6743849,"about_ca_system_score_codex":0.0000051325765,"about_ca_system_score_gemma":0.000011409558,"threshold_uncertainty_score":0.26736885},"labels":[],"label_agreement":null},{"id":"W2036141230","doi":"10.1186/1471-2202-8-s2-p201","title":"Learning sensitivity derivative by implicit supervision","year":2007,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; York University; University of Toronto","funders":"","keywords":"Sensitivity (control systems); Derivative (finance); Computer science; Cognitive science; Artificial intelligence; Psychology; Cognitive psychology; Economics","score_opus":0.032183287781964304,"score_gpt":0.2778567436689188,"score_spread":0.24567345588695452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036141230","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94597214,0.000003975193,0.051261447,0.00013212214,0.0006693498,0.0001842292,0.000007899654,0.00018139352,0.0015874194],"genre_scores_gemma":[0.9963675,0.000013778071,0.00012969013,0.002351949,0.000051252155,0.0000028474417,0.0000015987247,0.0000190315,0.0010623183],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99767953,0.00021678004,0.0002262952,0.0008129401,0.0005000419,0.00056443975],"domain_scores_gemma":[0.99867594,0.00077044516,0.000107062806,0.00024005823,0.000039198665,0.00016729577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007634968,0.00018191551,0.00014085684,0.00010340961,0.00058778806,0.00012822484,0.00023404235,0.00005320589,0.000011217904],"category_scores_gemma":[0.002273824,0.00016348589,0.00006441562,0.0008565659,0.00024399815,0.00046606347,0.00017994481,0.00031757937,0.00004365544],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024216262,0.00004171889,0.0042328136,0.0000044385415,8.30628e-8,0.000030188157,0.000043200766,0.00024839788,0.9910189,0.00080711633,0.00011248189,0.0034364804],"study_design_scores_gemma":[0.00022991172,0.00031022247,0.050779063,0.000009497181,0.0000024801484,0.00014092113,0.0000518488,0.040163048,0.90205705,0.00019123712,0.005775722,0.0002889822],"about_ca_topic_score_codex":0.000029771662,"about_ca_topic_score_gemma":0.000022803491,"teacher_disagreement_score":0.088961795,"about_ca_system_score_codex":0.000042270018,"about_ca_system_score_gemma":0.00003019792,"threshold_uncertainty_score":0.6666761},"labels":[],"label_agreement":null},{"id":"W2036216984","doi":"10.1016/j.neuron.2013.08.019","title":"Attentional Modulation of Cell-Class-Specific Gamma-Band Synchronization in Awake Monkey Area V4","year":2013,"lang":"en","type":"article","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":231,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Eye Institute; National Institute of Mental Health; National Institutes of Health; Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Macaque; Neuroscience; Stimulation; Excitatory postsynaptic potential; Visual cortex; Inhibitory postsynaptic potential; Synchronization (alternating current); Biology; Psychology; Photic Stimulation; Visual perception; Computer science; Perception","score_opus":0.024017127517476783,"score_gpt":0.21497562947474416,"score_spread":0.19095850195726738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036216984","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952635,0.000009149221,0.001255884,0.00034386225,0.00045331076,0.00032379295,0.000008487713,0.000035698933,0.0023062858],"genre_scores_gemma":[0.9989445,0.0000521669,0.000032178017,0.00016994464,0.0000519653,0.000019582641,0.000023521994,0.000018471883,0.0006876192],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987855,0.000083339655,0.0002871012,0.00036575893,0.00029486342,0.00018346508],"domain_scores_gemma":[0.99947137,0.000100639634,0.0001390757,0.00019075112,0.000056054167,0.00004212922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005587699,0.000119133845,0.00011930924,0.00015163644,0.00006073258,0.000047912843,0.00011181438,0.000060899343,0.00023786101],"category_scores_gemma":[0.00006315862,0.000115946495,0.000047081194,0.00033497965,0.000047042264,0.00034712246,0.000026140995,0.00012932463,0.00008346882],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008856021,0.00009527094,0.008350113,0.000017075958,4.0332102e-7,0.0000032276996,0.000019238621,0.0059228404,0.9819171,0.00054145925,0.00049220823,0.0026322105],"study_design_scores_gemma":[0.0006626145,0.00010961058,0.5867134,0.000023725252,0.0000034226289,0.000008370239,0.00000931174,0.278164,0.13205266,0.0012625771,0.0008101032,0.00018021767],"about_ca_topic_score_codex":0.00002982666,"about_ca_topic_score_gemma":0.000007947011,"teacher_disagreement_score":0.8498644,"about_ca_system_score_codex":0.00004834519,"about_ca_system_score_gemma":0.000015062163,"threshold_uncertainty_score":0.47281608},"labels":[],"label_agreement":null},{"id":"W2036319355","doi":"10.1016/j.neucom.2006.10.058","title":"Toward direct links between model networks and experimental data","year":2006,"lang":"en","type":"article","venue":"Neurocomputing","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Rehabilitation Institute; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Artificial intelligence","score_opus":0.07895029052850933,"score_gpt":0.2858009495147158,"score_spread":0.20685065898620647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036319355","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.982757,0.000050735744,0.0133619085,0.00022808375,0.00026892772,0.00016988494,0.000015466312,0.00019169033,0.00295635],"genre_scores_gemma":[0.99823004,0.0000044608,0.00042077064,0.0006834913,0.0005195516,0.0000018690773,0.00001732599,0.000024667119,0.00009784311],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986426,0.000061434046,0.00020474824,0.0006506318,0.00016270063,0.0002778435],"domain_scores_gemma":[0.9993241,0.00022708338,0.00007879563,0.0003051538,0.000007961204,0.000056897636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001135743,0.00014545606,0.00014778426,0.00004220754,0.00022760878,0.00012125447,0.0003069959,0.000078372206,0.0000019204062],"category_scores_gemma":[0.000043553908,0.0001392275,0.000025695806,0.00013651737,0.000050506915,0.00019544469,0.00057805725,0.00030897997,0.0000035060107],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034698263,0.00014600353,0.007857275,0.00002955926,0.0000053598405,0.00008103027,0.000090627815,0.569641,0.3880359,0.0014600676,0.0023882692,0.030230243],"study_design_scores_gemma":[0.00019646178,0.0000376661,0.0017105867,0.00000850153,0.000005614827,0.000016241338,0.000002537411,0.9839942,0.013305979,0.00012452272,0.0004583653,0.00013933328],"about_ca_topic_score_codex":0.000024788493,"about_ca_topic_score_gemma":0.0000010193149,"teacher_disagreement_score":0.41435322,"about_ca_system_score_codex":0.000011986635,"about_ca_system_score_gemma":0.000008305422,"threshold_uncertainty_score":0.56775326},"labels":[],"label_agreement":null},{"id":"W2036596421","doi":"10.1152/jn.90814.2008","title":"Postsynaptic Receptive Field Size and Spike Threshold Determine Encoding of High-Frequency Information Via Sensitivity to Synchronous Presynaptic Activity","year":2008,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Receptive field; Stimulus (psychology); Postsynaptic potential; Neuroscience; Sensory system; Excitatory postsynaptic potential; Computer science; Physics; Biological system; Inhibitory postsynaptic potential; Chemistry; Biology","score_opus":0.016815155523381774,"score_gpt":0.2324585723585945,"score_spread":0.2156434168352127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036596421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99765515,0.0000024565163,0.0010071074,0.0005351519,0.0005621655,0.00015962614,0.0000065241966,0.000012129885,0.00005968316],"genre_scores_gemma":[0.99845517,0.00009811777,0.00026739846,0.0010675937,0.00009175504,0.0000015378413,2.9322223e-7,0.000008966203,0.000009156307],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99881387,0.00019879616,0.00040525754,0.00018515725,0.00018983876,0.0002070842],"domain_scores_gemma":[0.99799764,0.0011149226,0.00048172058,0.00016530014,0.00013805338,0.00010238779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007949498,0.000150737,0.00037235423,0.00015855943,0.00011415923,0.000012312487,0.00012447093,0.00007885696,0.00001347974],"category_scores_gemma":[0.0016084444,0.00012568205,0.00008195515,0.0001939456,0.00012762164,0.00059350353,0.00010211555,0.00032535012,0.000006677145],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004394952,0.00005823678,0.00011953,0.000022989312,0.000007739784,0.00018894773,0.00011926764,0.0008308352,0.9943016,0.00006042611,0.000007682656,0.0038432362],"study_design_scores_gemma":[0.0014273147,0.013891075,0.3997393,0.000099143625,0.00006982668,0.0076520178,0.000022836966,0.019773716,0.5550395,0.0017851228,0.00003061452,0.0004695293],"about_ca_topic_score_codex":0.00003939769,"about_ca_topic_score_gemma":0.0000024987291,"teacher_disagreement_score":0.4392621,"about_ca_system_score_codex":0.000036148143,"about_ca_system_score_gemma":0.00004270946,"threshold_uncertainty_score":0.51251656},"labels":[],"label_agreement":null},{"id":"W2036719594","doi":"10.3389/fnint.2014.00097","title":"Habituation mechanisms and their importance for cognitive function","year":2015,"lang":"en","type":"article","venue":"Frontiers in Integrative Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":93,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Western University","funders":"National Institute on Deafness and Other Communication Disorders","keywords":"Habituation; Cognition; Psychology; Cognitive psychology; Function (biology); Neuroscience; Biology","score_opus":0.04064703258735064,"score_gpt":0.26408689581651207,"score_spread":0.22343986322916143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036719594","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17296688,0.000043690212,0.8219613,0.00038311258,0.0032343275,0.0007153221,0.000048688526,0.0000563639,0.0005903572],"genre_scores_gemma":[0.9954718,0.00002823638,0.0017149622,0.0021821186,0.000036100864,0.00013890975,0.0000057305147,0.000015326037,0.0004068369],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99844795,0.0001277422,0.00022133268,0.0007071311,0.00021041423,0.00028541457],"domain_scores_gemma":[0.99929506,0.00021555778,0.00013752107,0.000118651646,0.000117857875,0.000115352035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037458647,0.00019908475,0.0001951364,0.00019888332,0.00017206928,0.00009882272,0.0001668706,0.00005856501,0.0000015377251],"category_scores_gemma":[0.003074584,0.00014689892,0.00004252805,0.0005761953,0.0003165086,0.0006312731,0.000048446353,0.00018797079,0.0000014857337],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012047987,0.00024086566,0.009125027,0.00002538908,0.000004066596,0.000014036506,0.0028002583,0.00028696752,0.87980986,0.05767769,0.005764958,0.04304608],"study_design_scores_gemma":[0.0022864845,0.0025934721,0.009797718,0.00009067317,0.00001933044,0.000039445687,0.006149763,0.4608901,0.16626018,0.34870517,0.0025450403,0.000622614],"about_ca_topic_score_codex":0.0000062269837,"about_ca_topic_score_gemma":0.000024895377,"teacher_disagreement_score":0.8225049,"about_ca_system_score_codex":0.00007623622,"about_ca_system_score_gemma":0.00007061343,"threshold_uncertainty_score":0.59903646},"labels":[],"label_agreement":null},{"id":"W2036846283","doi":"10.3389/fncom.2013.00034","title":"Neural mass modeling of power-line magnetic fields effects on brain activity","year":2013,"lang":"en","type":"article","venue":"Frontiers in Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lawson Health Research Institute; Western University","funders":"Canadian Institutes of Health Research; Mitacs; Electricité de France; Hydro-Québec","keywords":"Front line; Front (military); Neuroscience; Power (physics); Computer science; Physics; Psychology; Political science; Meteorology","score_opus":0.017895628589547515,"score_gpt":0.24555325280616785,"score_spread":0.22765762421662034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036846283","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8084856,0.000007810812,0.18571222,0.003322035,0.0018841105,0.0003454347,0.000006371339,0.000036104913,0.0002002576],"genre_scores_gemma":[0.99347365,0.000003393764,0.00198252,0.004359057,0.000027357808,0.000020974674,0.0000011848684,0.000012934925,0.0001189263],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99815184,0.00018124208,0.00025380577,0.0005742053,0.00053112744,0.00030779483],"domain_scores_gemma":[0.99885637,0.00072151545,0.000105427476,0.00018449707,0.000047159127,0.00008504372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013779584,0.00016913535,0.00019992847,0.00026113752,0.0001178728,0.00008201277,0.00035190143,0.000056336678,0.000010220373],"category_scores_gemma":[0.00097393093,0.00015957111,0.0000644305,0.0006415616,0.00014511071,0.00038438465,0.00006750994,0.00027326692,0.0000072952807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003715808,0.000084779116,0.0006981651,0.000018459186,3.1065355e-7,0.000012615242,0.000025940608,0.80730397,0.18285672,0.0006186595,0.0005268496,0.00781639],"study_design_scores_gemma":[0.00032703424,0.00061891874,0.008155567,0.000018907078,0.0000013032162,0.000006795624,0.0000052313544,0.97155493,0.0054791644,0.013678094,0.000013868947,0.00014016424],"about_ca_topic_score_codex":0.00001840096,"about_ca_topic_score_gemma":6.088757e-7,"teacher_disagreement_score":0.184988,"about_ca_system_score_codex":0.000038213355,"about_ca_system_score_gemma":0.00003757979,"threshold_uncertainty_score":0.6507121},"labels":[],"label_agreement":null},{"id":"W2037351106","doi":"10.1167/13.9.875","title":"Decoding visual objects in somatosensory cortex: the effect of prior visuo-haptic experience","year":2013,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Haptic technology; Somatosensory system; Psychology; Object (grammar); Fixation (population genetics); Sensory system; Visual cortex; Cognitive psychology; Contrast (vision); Stimulus modality; Decoding methods; Computer science; Communication; Neuroscience; Computer vision; Artificial intelligence; Medicine","score_opus":0.012654173189940172,"score_gpt":0.29989244693591066,"score_spread":0.2872382737459705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037351106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99891144,0.000043673837,0.00007277623,0.00013520289,0.00051944726,0.00020637827,2.4558128e-7,0.000005894357,0.00010494621],"genre_scores_gemma":[0.99968815,0.000046714656,0.00003337764,0.00013005621,0.00005530384,0.0000028722445,5.770062e-8,0.000009422706,0.000034037028],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99863577,0.00022894976,0.00044153363,0.00013677495,0.00039001406,0.0001669316],"domain_scores_gemma":[0.9985261,0.00083737867,0.00041380394,0.00011477517,0.0000509781,0.00005699723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038307958,0.00010472886,0.00021895533,0.0001500817,0.00008748081,0.000056403038,0.0002101428,0.000042876687,0.000041523566],"category_scores_gemma":[0.0007841519,0.000057773796,0.00010085127,0.00024813402,0.000077460965,0.000396733,0.000055403067,0.00023079352,0.000016519463],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000859631,0.000040949475,0.0033009297,0.00001694675,0.000001426086,0.000024508332,0.00028079146,0.00007723074,0.98061246,0.00001711313,0.000033995802,0.015507712],"study_design_scores_gemma":[0.0016050314,0.004224313,0.2588149,0.00044474236,0.00001708993,0.00046364975,0.00033520896,0.1104473,0.62316173,0.0002505456,0.00005001651,0.0001854418],"about_ca_topic_score_codex":0.000010307401,"about_ca_topic_score_gemma":0.00000248729,"teacher_disagreement_score":0.3574507,"about_ca_system_score_codex":0.000038969225,"about_ca_system_score_gemma":0.000019854606,"threshold_uncertainty_score":0.2355947},"labels":[],"label_agreement":null},{"id":"W2037623620","doi":"10.1103/physrevlett.93.048101","title":"Oscillatory Activity in Electrosensory Neurons Increases with the Spatial Correlation of the Stochastic Input Stimulus","year":2004,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":126,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Stimulus (psychology); Correlation; Spatial correlation; Statistical physics; Physics; Oscillation (cell signaling); Computer science; Biological system; Neuroscience; Mathematics; Psychology; Cognitive psychology; Biology; Geometry; Telecommunications","score_opus":0.013947185064609841,"score_gpt":0.24756149923981122,"score_spread":0.23361431417520137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037623620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98852104,0.000056076868,0.0019684776,0.008857311,0.000072036506,0.00048704556,0.00000448647,0.000014186334,0.000019349422],"genre_scores_gemma":[0.9895922,0.000056750032,0.0000020390696,0.010267839,0.000048274,0.000019322191,4.7381332e-7,0.000010251112,0.0000028569773],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99897176,0.00023769155,0.000113797534,0.00022470897,0.0002901566,0.0001618996],"domain_scores_gemma":[0.999177,0.00039638393,0.00013737008,0.00024975926,0.000012816809,0.00002669818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000087289256,0.00011707581,0.0001803058,0.000020301437,0.00008969426,0.000010569031,0.00016868889,0.0000069520274,0.0000016648773],"category_scores_gemma":[0.00029417712,0.000059876318,0.00008132125,0.00035795703,0.00019256564,0.000093367664,0.000046932124,0.00027802115,0.000005874853],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005260244,0.00015406408,0.00018748287,0.000088335495,0.0000028060151,0.000003916577,0.000039606384,0.05510108,0.94211954,0.00052693806,0.000051444065,0.0016721905],"study_design_scores_gemma":[0.0045671584,0.0017486825,0.60951936,0.0049547344,0.000554644,0.00015494817,0.000016507238,0.24792853,0.12585239,0.0023297016,0.00080020586,0.0015731495],"about_ca_topic_score_codex":0.00011846703,"about_ca_topic_score_gemma":0.00005229387,"teacher_disagreement_score":0.81626713,"about_ca_system_score_codex":0.000058657683,"about_ca_system_score_gemma":0.000038999195,"threshold_uncertainty_score":0.24416853},"labels":[],"label_agreement":null},{"id":"W2037697248","doi":"10.1007/s00422-013-0575-1","title":"Conditioning and time representation in long short-term memory networks","year":2013,"lang":"en","type":"article","venue":"Biological Cybernetics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Royal Military College of Canada","funders":"","keywords":"Conditioning; Classical conditioning; Neuroscience; Stimulus (psychology); Engram; Computer science; Psychology; Artificial intelligence; Cognitive psychology; Mathematics","score_opus":0.03724268628862394,"score_gpt":0.2664757074339893,"score_spread":0.22923302114536537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037697248","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971311,0.00003271211,0.00033499146,0.00014046553,0.00010360879,0.00023814631,0.000001809573,0.000042636595,0.0019745326],"genre_scores_gemma":[0.99889725,0.00010484812,0.000057690624,0.00041112155,0.00006222327,0.000020405021,0.000018663739,0.0000053377025,0.00042246905],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99919134,0.00010657968,0.00016268586,0.00029124727,0.000072698705,0.00017545385],"domain_scores_gemma":[0.9995416,0.00026419692,0.000034951754,0.00009127532,0.000014637166,0.00005336382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000072242416,0.00008513566,0.00010322477,0.000032114156,0.0000567697,0.000067371264,0.00007154095,0.00009641103,0.0002028153],"category_scores_gemma":[0.00018618612,0.00006449948,0.000021068083,0.000119277945,0.00012242862,0.00008959312,0.00007092437,0.00013176311,0.00005540617],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032624866,0.00011227947,0.19477256,0.0000071595096,0.0000033249967,0.00006204382,0.000070792536,0.0016306734,0.7569783,0.003086708,0.0005375151,0.042706054],"study_design_scores_gemma":[0.0001972496,0.00016193547,0.9007032,0.000013403741,0.0000027965114,0.000027928269,0.000012137877,0.08990242,0.00616172,0.0026254498,0.000028457467,0.00016332822],"about_ca_topic_score_codex":0.000016320744,"about_ca_topic_score_gemma":0.00000329756,"teacher_disagreement_score":0.7508165,"about_ca_system_score_codex":0.000014848859,"about_ca_system_score_gemma":0.00000254567,"threshold_uncertainty_score":0.26302123},"labels":[],"label_agreement":null},{"id":"W2037789559","doi":"10.1109/samos.2014.6893236","title":"An analysis of dynamics of CA3b in Hippocampus","year":2014,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Western Canada Research Grid","keywords":"Computer science; Rhythm; Hippocampus; Field (mathematics); Population; Dynamics (music); Neuroscience; Biology; Physics; Mathematics","score_opus":0.0127527897945687,"score_gpt":0.25467984024057766,"score_spread":0.24192705044600896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037789559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99305654,5.330734e-7,0.0040264935,0.00007605368,0.00006214066,0.00003767494,0.000008326497,0.000010715592,0.0027215218],"genre_scores_gemma":[0.99962556,0.0000031756827,0.00010600498,0.00014057428,0.000003901442,8.521347e-7,0.0000066045864,0.0000035369542,0.00010979402],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993754,0.00007196956,0.00018695332,0.0001634985,0.000119274504,0.0000829106],"domain_scores_gemma":[0.9995502,0.000118425385,0.00007902465,0.00020733516,0.000019924162,0.000025054684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015067545,0.000047614143,0.00016465124,0.00027685825,0.000010870431,0.0000050514386,0.00011804106,0.000028672779,0.000050039],"category_scores_gemma":[0.00011914722,0.00003943531,0.000055106895,0.00082211866,0.0000432802,0.00007100439,0.000016202872,0.000039992807,0.000001176846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036136644,0.00025365042,0.11742779,0.000020453032,0.000017077457,0.0000015467476,0.00008427067,0.024002343,0.7084125,0.12457585,0.0000067481446,0.025161592],"study_design_scores_gemma":[0.00009240977,0.00010095331,0.061213866,0.0000019103966,0.00002982408,3.335579e-7,0.0000202754,0.91952616,0.01653875,0.002426072,0.0000061779024,0.000043296754],"about_ca_topic_score_codex":0.00028981356,"about_ca_topic_score_gemma":0.0021703483,"teacher_disagreement_score":0.8955238,"about_ca_system_score_codex":0.000016409182,"about_ca_system_score_gemma":0.0000059881704,"threshold_uncertainty_score":0.16081253},"labels":[],"label_agreement":null},{"id":"W2037905235","doi":"10.1186/1471-2202-15-s1-p145","title":"Dynamics of dichoptic masking in the primary visual cortex","year":2014,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Magnetoencephalography; Visual cortex; Contrast (vision); Neuroscience; Masking (illustration); Saccadic masking; Gaze; Computer science; Visual perception; Artificial intelligence; Eye movement; Psychology; Perception; Electroencephalography","score_opus":0.024693355541689447,"score_gpt":0.2642304888554848,"score_spread":0.23953713331379534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037905235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98333085,0.0000025514355,0.012311947,0.00034097716,0.0006454315,0.0002249931,0.000003860455,0.00003283298,0.0031065382],"genre_scores_gemma":[0.996888,0.000009326351,0.000077765595,0.0028147388,0.000032594144,0.000009509629,0.0000010603868,0.000010502195,0.00015649514],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981494,0.00027649233,0.0002725846,0.00047237705,0.00052664627,0.0003025008],"domain_scores_gemma":[0.99879575,0.0006777489,0.0001473281,0.00031986268,0.000016658132,0.000042628893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055783347,0.0001245908,0.00014601501,0.000121611076,0.00014784277,0.00007654631,0.000655447,0.000032559085,0.0000033980568],"category_scores_gemma":[0.0011799986,0.000088784094,0.00005635353,0.00088733435,0.00032591893,0.00023359437,0.00012030639,0.00019541396,0.0000067796377],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024759665,0.00015966603,0.009303115,0.000040349674,9.8876285e-8,0.000013188468,0.000077742945,0.0011655843,0.9567882,0.029053157,0.000014363236,0.0033597995],"study_design_scores_gemma":[0.00030467656,0.0003198905,0.2736438,0.000023459068,0.000004305289,0.00008488772,0.000036081838,0.71667147,0.0064895963,0.0019957044,0.00024969265,0.0001764197],"about_ca_topic_score_codex":0.000012386405,"about_ca_topic_score_gemma":0.000042463842,"teacher_disagreement_score":0.9502986,"about_ca_system_score_codex":0.000033520424,"about_ca_system_score_gemma":0.00004229669,"threshold_uncertainty_score":0.36205104},"labels":[],"label_agreement":null},{"id":"W2038394990","doi":"10.1016/j.neuroscience.2007.04.025","title":"Callosal responses of fast-rhythmic-bursting neurons during slow oscillation in cats","year":2007,"lang":"en","type":"article","venue":"Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Bursting; Neuroscience; Excitatory postsynaptic potential; Neocortex; Electrophysiology; Rhythm; Hyperpolarization (physics); Chemistry; Biology; Inhibitory postsynaptic potential; Physics","score_opus":0.035163673576039854,"score_gpt":0.28235061259846506,"score_spread":0.2471869390224252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038394990","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971191,0.0000038168578,0.00060826505,0.00018684573,0.0010322076,0.00021217007,0.00001013405,0.000074978154,0.0007524276],"genre_scores_gemma":[0.9988819,0.000013098007,0.00008170657,0.0004399249,0.00005452161,0.0000033924878,4.0247636e-7,0.000017813276,0.0005072787],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9976609,0.00013877552,0.00043997113,0.0006862207,0.0005470314,0.0005271428],"domain_scores_gemma":[0.99884045,0.0005152657,0.00019961673,0.0002981431,0.000038716244,0.00010781238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005356818,0.00017036639,0.00017556292,0.00040463576,0.00022942701,0.000051211027,0.00031241647,0.000056348123,0.000004736852],"category_scores_gemma":[0.0028109613,0.00016208617,0.000056806995,0.0013761392,0.00027234977,0.00041800353,0.0001361159,0.00026159585,0.000006309019],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010832152,0.000043459226,0.03430752,0.00001300898,8.232603e-8,0.00012072256,0.00010397959,0.0010053314,0.9626347,0.00046176222,0.0000024863252,0.0011986649],"study_design_scores_gemma":[0.00027274375,0.0001313066,0.64217705,0.00002510975,0.0000017106005,0.0001337604,0.000020488082,0.009700229,0.34719074,0.00009201369,0.00010572868,0.00014912439],"about_ca_topic_score_codex":0.000048044007,"about_ca_topic_score_gemma":0.000085462234,"teacher_disagreement_score":0.61544394,"about_ca_system_score_codex":0.00005879185,"about_ca_system_score_gemma":0.000056880923,"threshold_uncertainty_score":0.6609682},"labels":[],"label_agreement":null},{"id":"W2038489886","doi":"10.1111/j.1467-9280.2005.01612.x","title":"Visual Memory Decay Is Deterministic","year":2005,"lang":"en","type":"article","venue":"Psychological Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"National Eye Institute; National Institute of Mental Health","keywords":"Forgetting; Psychology; Visual masking; Cognitive psychology; Visual short-term memory; Visual memory; Object (grammar); Iconic memory; Backward masking; Memory errors; Visual perception; Cognitive science; Communication; Artificial intelligence; Computer science; Perception; Neuroscience; Cognition; Recall","score_opus":0.056721160259907,"score_gpt":0.3793633128454393,"score_spread":0.3226421525855323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038489886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95313996,0.000005867906,0.0005041215,0.0022865543,0.0005788995,0.000115338145,0.0000026303537,0.00010960003,0.043257013],"genre_scores_gemma":[0.9867202,0.000012606265,0.00030953626,0.011726403,0.0001403487,0.000008779394,1.6029233e-7,0.000004919069,0.0010770714],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99805045,0.000043368273,0.00017790018,0.0007891246,0.00049145625,0.00044767992],"domain_scores_gemma":[0.99932253,0.00014755766,0.000058435187,0.00024907506,0.000027332177,0.00019504946],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00035596106,0.00011768224,0.00010020619,0.00007900433,0.00038152657,0.00013158492,0.0005987828,0.000049642094,0.00063229835],"category_scores_gemma":[0.0004183477,0.00008178178,0.000049943126,0.00077375234,0.0008438462,0.00030336226,0.00011395871,0.0001574872,0.0009538606],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017855813,0.00017163462,0.00011412388,0.0000010194289,1.8544172e-7,0.000015771328,0.000039020175,0.000017426206,0.8528275,0.002236077,0.00046847292,0.14409092],"study_design_scores_gemma":[0.001120238,0.0018187804,0.07927309,0.000021714663,0.000011978239,0.00059180113,0.0000408992,0.07262959,0.7985174,0.006994863,0.03790935,0.0010702949],"about_ca_topic_score_codex":0.000001275755,"about_ca_topic_score_gemma":0.0000010184874,"teacher_disagreement_score":0.14302061,"about_ca_system_score_codex":0.000043136388,"about_ca_system_score_gemma":0.000015982654,"threshold_uncertainty_score":0.999824},"labels":[],"label_agreement":null},{"id":"W2038605385","doi":"10.1007/s10827-009-0191-1","title":"Alternative time representation in dopamine models","year":2009,"lang":"en","type":"article","venue":"Journal of Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Quebec Network for Research on Aging; Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Representation (politics); Computer science; Task (project management); TRACE (psycholinguistics); Artificial intelligence; Interval (graph theory); Constant (computer programming); Machine learning; Mathematics","score_opus":0.04523521444104836,"score_gpt":0.3047986170484456,"score_spread":0.2595634026073972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038605385","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95403343,0.000007829664,0.042018,0.0022955246,0.00050035777,0.00010302543,0.0000035063965,0.0000130530625,0.0010252534],"genre_scores_gemma":[0.99662036,0.000017994274,0.00072478806,0.0024626628,0.00007537215,4.6662416e-7,5.4740383e-7,0.000004295465,0.00009349161],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984105,0.000118377124,0.00041802812,0.00022853028,0.0006720424,0.00015248868],"domain_scores_gemma":[0.9990967,0.00028210008,0.0003560514,0.0000709731,0.00012339528,0.000070796836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025103867,0.00008968268,0.00014574849,0.00030555428,0.00007261523,0.0000772326,0.000286341,0.000018863468,0.000009999233],"category_scores_gemma":[0.0004956128,0.00007711408,0.00006114872,0.0006722319,0.000096171716,0.0010360654,0.00002315793,0.00018383891,0.0000067720043],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046390145,0.000095583775,0.000033353503,7.034298e-7,2.0465096e-7,0.00008965755,0.000038253867,0.7563248,0.22801971,0.011909943,0.000054926815,0.003386466],"study_design_scores_gemma":[0.00036933715,0.0003274273,0.008230961,0.000014155048,0.0000015297325,0.00031309226,0.0000026450084,0.7850743,0.007871831,0.1976904,0.000035856163,0.000068466295],"about_ca_topic_score_codex":0.0000014796758,"about_ca_topic_score_gemma":1.5885234e-7,"teacher_disagreement_score":0.2201479,"about_ca_system_score_codex":0.000045432495,"about_ca_system_score_gemma":0.0000618572,"threshold_uncertainty_score":0.31446207},"labels":[],"label_agreement":null},{"id":"W2038752642","doi":"10.1016/j.tics.2006.06.008","title":"Improving reverse neuroimaging inference: cognitive domain versus cognitive complexity","year":2006,"lang":"en","type":"review","venue":"Trends in Cognitive Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Tula Foundation","keywords":"Inference; Neuroimaging; Cognition; Psychology; Cognitive psychology; Bayesian inference; Functional neuroimaging; Process (computing); Bayesian probability; Cognitive science; Artificial intelligence; Computer science; Neuroscience","score_opus":0.3877102519786794,"score_gpt":0.463800296775791,"score_spread":0.07609004479711157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038752642","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011070374,0.77306396,0.0016577237,0.00027318258,0.008241314,0.0045684003,0.0059230537,0.00084266876,0.19435932],"genre_scores_gemma":[0.08525986,0.9091433,0.00030935308,0.0009904609,0.0007772705,0.00057116686,0.00091116875,0.00020327933,0.0018341077],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99211335,0.0014251443,0.0011608218,0.0027979992,0.0011743179,0.0013283527],"domain_scores_gemma":[0.989326,0.008856455,0.0011324626,0.00024276097,0.00023109023,0.00021122304],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0011924332,0.0010992268,0.0017859288,0.0020213148,0.0009921801,0.0005626563,0.0008605698,0.00031927394,0.00033602808],"category_scores_gemma":[0.0043979366,0.0009451721,0.0005833667,0.0054282076,0.0038784358,0.0009694897,0.00058861705,0.0015428269,0.00016193776],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011624729,0.00018926199,0.000041292704,0.00053678267,0.000018309114,0.0002588394,0.00010424903,0.0000010511368,0.000027858705,0.0007798165,0.000058243928,0.99786806],"study_design_scores_gemma":[0.07175905,0.021845791,0.0061590173,0.32224613,0.016341925,0.0026789466,0.020696724,0.022303099,0.0026478805,0.039864127,0.42812645,0.04533086],"about_ca_topic_score_codex":0.00037719624,"about_ca_topic_score_gemma":0.00043555585,"teacher_disagreement_score":0.9525372,"about_ca_system_score_codex":0.00023122145,"about_ca_system_score_gemma":0.000507028,"threshold_uncertainty_score":0.9992999},"labels":[],"label_agreement":null},{"id":"W2038944441","doi":"10.1523/jneurosci.3977-10.2011","title":"Nociceptive Steady-State Evoked Potentials Elicited by Rapid Periodic Thermal Stimulation of Cutaneous Nociceptors","year":2011,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":89,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"International Laboratory for Brain, Music and Sound Research","funders":"Royal Society; Directorate for Biological Sciences; Vlaamse regering; Biotechnology and Biological Sciences Research Council; Fonds Wetenschappelijk Onderzoek; International Association for the Study of Pain","keywords":"Nociceptor; Stimulation; Neuroscience; Nociception; Stimulus (psychology); Somatosensory system; Sensory stimulation therapy; Sensory system; Scalp; Electrophysiology; Physical Stimulation; Chemistry; Medicine; Psychology; Anatomy; Internal medicine","score_opus":0.03626771715610362,"score_gpt":0.2552167040552903,"score_spread":0.21894898689918668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038944441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99618495,0.00002331301,0.001505673,0.00009999373,0.00137003,0.00019164232,0.00003099875,0.00002245221,0.00057096325],"genre_scores_gemma":[0.9987097,0.00009479705,0.00013043064,0.00064058416,0.00005072085,0.0000012960329,5.4786153e-7,0.000020319376,0.00035160652],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974467,0.00027950757,0.00074414536,0.00035979642,0.0008280673,0.00034178628],"domain_scores_gemma":[0.9980088,0.00019144751,0.0011805047,0.00021077284,0.00023897515,0.0001695016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035411867,0.0002031374,0.00032296247,0.00026518077,0.00021004342,0.00007000047,0.0005813217,0.000058057205,0.00010623559],"category_scores_gemma":[0.000721472,0.0001612101,0.00018132704,0.00067296886,0.00042681038,0.00075015146,0.00007679274,0.00031161297,0.000009060969],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002475973,0.00016511853,0.000450769,0.000008406112,0.0000023297744,0.00007439679,0.00079418276,0.0007533352,0.99405235,0.000028220915,0.000098054465,0.0033252097],"study_design_scores_gemma":[0.0010763478,0.0036239775,0.03532347,0.00006331709,0.0000543749,0.00091498956,0.00017480555,0.020924034,0.936417,0.00039718047,0.00063157745,0.00039892716],"about_ca_topic_score_codex":0.000018519051,"about_ca_topic_score_gemma":8.3521076e-7,"teacher_disagreement_score":0.05763538,"about_ca_system_score_codex":0.000045433157,"about_ca_system_score_gemma":0.000084188876,"threshold_uncertainty_score":0.6573957},"labels":[],"label_agreement":null},{"id":"W2039005336","doi":"10.1016/j.concog.2003.11.002","title":"Unconscious perception: Assumptions and interpretive difficulties","year":2003,"lang":"en","type":"letter","venue":"Consciousness and Cognition","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Psychology; Unconscious mind; Perception; Cognitive psychology; Dissociation (chemistry); Interpretation (philosophy); Perspective (graphical); Cognitive science; Epistemology; Psychoanalysis; Philosophy; Neuroscience","score_opus":0.02008486041823428,"score_gpt":0.24001286383943884,"score_spread":0.21992800342120455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039005336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54193497,0.00073375844,0.001788291,0.43729,0.004880143,0.002088293,0.0013561986,0.0006056239,0.009322745],"genre_scores_gemma":[0.61531174,0.0012167643,0.000036470607,0.37994495,0.00061884406,0.0001464484,0.00018891874,0.000052837768,0.0024830515],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981712,0.00023870156,0.00026117568,0.0007740144,0.0002465324,0.0003083395],"domain_scores_gemma":[0.99903834,0.00044371345,0.00016306087,0.00017668837,0.00010479091,0.000073393094],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008344252,0.00035999747,0.00032866685,0.00018558088,0.00048936583,0.0003064952,0.00009018827,0.00046664727,0.000187203],"category_scores_gemma":[0.00024014639,0.00032272478,0.000080100144,0.00013454308,0.0006266796,0.00020605106,0.00007619703,0.0008704236,0.000050172588],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010830813,0.00016048046,0.00034360998,0.00076010113,0.00008637545,0.00063745514,0.0016060089,0.0000027812116,0.08703009,0.0011252738,0.8610139,0.047125593],"study_design_scores_gemma":[0.0053041857,0.0018520284,0.008839172,0.003002966,0.0020377366,0.0070193214,0.005853728,0.004109631,0.0055019725,0.05245382,0.89664924,0.0073762084],"about_ca_topic_score_codex":0.000011292076,"about_ca_topic_score_gemma":0.000023609944,"teacher_disagreement_score":0.08152812,"about_ca_system_score_codex":0.00004680123,"about_ca_system_score_gemma":0.00003694132,"threshold_uncertainty_score":0.99992245},"labels":[],"label_agreement":null},{"id":"W2039019735","doi":"10.1016/j.schres.2007.12.055","title":"rTMS, P50 and treatment refractory auditory hallucinations in SCZ","year":2008,"lang":"en","type":"article","venue":"Schizophrenia Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Addiction and Mental Health","funders":"","keywords":"Computer science; Decoding methods; Functional magnetic resonance imaging; Artificial intelligence; Encoding (memory); Pattern recognition (psychology); Encoder; Generative model; Feature (linguistics); Machine learning; Generative grammar; Algorithm; Psychology","score_opus":0.14351458231574016,"score_gpt":0.35530758524167233,"score_spread":0.21179300292593217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039019735","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99450535,0.00010762039,0.000005203389,0.0013504656,0.0002733593,0.00030646648,0.000012938383,0.00004483414,0.003393763],"genre_scores_gemma":[0.9938409,0.0011358832,0.00009942714,0.0000588689,0.00021838433,0.00006584519,0.0000042423458,0.00001731993,0.0045591774],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99804765,0.00036263178,0.00017144285,0.0004922351,0.0005224161,0.0004036032],"domain_scores_gemma":[0.99892753,0.0005679588,0.000029261058,0.00028176897,0.00006244065,0.00013105357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003688637,0.00011837862,0.00013193008,0.0004634929,0.0005169815,0.000049288094,0.00016044828,0.00007477994,0.00006851318],"category_scores_gemma":[0.0005574825,0.00010012674,0.000033399352,0.0006104697,0.00033590215,0.00022224351,0.00009908646,0.0004059291,0.00014629947],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011918527,0.0010859694,0.0041184174,0.000032110485,0.000010330737,0.00087365013,0.00081937434,0.000076549506,0.88395745,0.019282008,0.00544498,0.08310734],"study_design_scores_gemma":[0.012357031,0.004239441,0.7480371,0.00017807882,0.000012699463,0.00055884337,0.00029230444,0.018396834,0.074099354,0.01824107,0.12232381,0.0012634223],"about_ca_topic_score_codex":0.00018628365,"about_ca_topic_score_gemma":0.00037370613,"teacher_disagreement_score":0.8098581,"about_ca_system_score_codex":0.00024406893,"about_ca_system_score_gemma":0.00018490711,"threshold_uncertainty_score":0.408305},"labels":[],"label_agreement":null},{"id":"W2039299279","doi":"10.1016/j.neuroimage.2005.07.032","title":"Detecting fMRI activation allowing for unknown latency of the hemodynamic response","year":2005,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Haemodynamic response; Latency (audio); Hemodynamics; Computer science; Maxima; Statistical analysis; Mathematics; Psychology; Artificial intelligence; Statistics; Medicine; Anesthesia; Internal medicine","score_opus":0.027798455370512547,"score_gpt":0.2655159313462759,"score_spread":0.23771747597576334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039299279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942433,0.0000018426837,0.0019221759,0.0025506658,0.00034628666,0.0003649562,0.000007156853,0.00005943709,0.00050413347],"genre_scores_gemma":[0.99775726,0.0000022033416,0.00030453305,0.0010017825,0.00006963314,0.000014001619,6.4206625e-7,0.00002354855,0.00082637754],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99892175,0.00017428209,0.00021230102,0.0003042187,0.0001854656,0.00020199023],"domain_scores_gemma":[0.9987594,0.0007567419,0.0001421748,0.00027923463,0.000036021796,0.000026409483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027513638,0.00010747977,0.00010053134,0.00006323832,0.00023718628,0.00003298457,0.00022265161,0.000039979193,0.000008089784],"category_scores_gemma":[0.0019527083,0.00008152323,0.00011697334,0.00027059639,0.000050050432,0.00026353373,0.00006841779,0.0001586679,0.0000050400854],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020165207,0.000026861977,0.000053642583,0.00001053441,8.231955e-7,7.4845843e-7,0.000046858026,0.0007035414,0.9849488,0.00030421233,0.00003138876,0.013670927],"study_design_scores_gemma":[0.00038544866,0.00010860244,0.011639885,0.00001997199,0.00000732684,0.00001137483,0.000007608736,0.110730805,0.8735474,0.0003577242,0.003082511,0.0001013453],"about_ca_topic_score_codex":0.0000040843956,"about_ca_topic_score_gemma":0.0000059364347,"teacher_disagreement_score":0.11140141,"about_ca_system_score_codex":0.000039081908,"about_ca_system_score_gemma":0.000026021247,"threshold_uncertainty_score":0.33244208},"labels":[],"label_agreement":null},{"id":"W2039391696","doi":"10.1523/jneurosci.0393-10.2010","title":"Local Neural Processing and the Generation of Dynamic Motor Commands within the Saccadic Premotor Network","year":2010,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Saccadic masking; Neuroscience; Psychology; Computer science; Eye movement","score_opus":0.024830977724486916,"score_gpt":0.2581545217738854,"score_spread":0.2333235440493985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039391696","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99068224,0.00005191461,0.0043357853,0.0023024713,0.002373993,0.00020723621,0.0000020141238,0.000007223701,0.00003709518],"genre_scores_gemma":[0.99774456,0.000035998924,0.00011895651,0.0017849947,0.00021599472,0.0000021886406,8.028632e-8,0.00000956713,0.00008767519],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99843407,0.00021654608,0.00044999976,0.00020515813,0.0004973902,0.00019685079],"domain_scores_gemma":[0.9986177,0.00030944587,0.0007143618,0.00019770068,0.000086367705,0.00007441017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010536067,0.000118564436,0.00018520551,0.0000573159,0.000522377,0.0001850335,0.00054403173,0.000039639483,0.000001655466],"category_scores_gemma":[0.0007913925,0.000057374535,0.000075293254,0.00040250167,0.0012968004,0.00044106788,0.0000923104,0.00061604404,2.5104848e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000104195686,0.000018949093,0.00010912071,0.0000067839246,5.2231843e-7,0.0000064855913,0.00015504022,0.0026380906,0.9908348,0.0009545831,0.000036551264,0.005134911],"study_design_scores_gemma":[0.0005429465,0.00029570344,0.011235242,0.000018360948,0.000018352514,0.0010033513,0.000032426684,0.974346,0.011353112,0.0008946739,0.00018080314,0.000079053636],"about_ca_topic_score_codex":0.000003868673,"about_ca_topic_score_gemma":0.000021117494,"teacher_disagreement_score":0.97948164,"about_ca_system_score_codex":0.0000112598245,"about_ca_system_score_gemma":0.00008972522,"threshold_uncertainty_score":0.47781152},"labels":[],"label_agreement":null},{"id":"W2039588727","doi":"10.1097/00001756-200410050-00006","title":"Effects of excitation and inactivation in area 17 on paired cells in area 18","year":2004,"lang":"en","type":"article","venue":"Neuroreport","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Receptive field; Neuroscience; Stimulation; Visual cortex; Grating; Electrophysiology; Biophysics; Neuron; Chemistry; Biology; Physics; Optics","score_opus":0.029929614796762816,"score_gpt":0.24052751546442597,"score_spread":0.21059790066766315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039588727","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980572,0.0000020241314,0.000066089255,0.00016061557,0.0002335538,0.00033622206,0.0000014166144,0.00002323443,0.0011196501],"genre_scores_gemma":[0.9994249,0.000017946924,0.000017425613,0.0004304973,0.00000980105,0.000018702798,0.000002975734,0.0000105602485,0.0000672341],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990251,0.000053181266,0.0002678952,0.00032891362,0.00019783803,0.00012708172],"domain_scores_gemma":[0.9994234,0.00024179682,0.0001654554,0.00012403901,0.000015681982,0.000029646344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010709545,0.00010067993,0.00013403766,0.0002124345,0.000025026391,0.00001457669,0.00004522945,0.00004752772,0.0000028879683],"category_scores_gemma":[0.00052413624,0.00009538035,0.00002262712,0.0003495894,0.000036968107,0.00017225964,0.000018643857,0.00013151814,0.0000013344182],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000071162016,0.0001633207,0.004468727,0.000036673795,4.0358242e-7,0.00025119333,0.00009757379,0.0011770705,0.99242675,0.00032607777,0.000026719837,0.0009542978],"study_design_scores_gemma":[0.00068307103,0.00028628387,0.38603994,0.000066835244,0.0000020880964,0.000019158902,0.000007753047,0.0011210133,0.6091584,0.0025042177,0.00002967333,0.0000815517],"about_ca_topic_score_codex":0.00006235703,"about_ca_topic_score_gemma":0.000030935098,"teacher_disagreement_score":0.38326836,"about_ca_system_score_codex":0.000053415333,"about_ca_system_score_gemma":0.000026578049,"threshold_uncertainty_score":0.38894975},"labels":[],"label_agreement":null},{"id":"W2039700032","doi":"10.1167/14.7.9","title":"Quantifying the effect of intertrial dependence on perceptual decisions","year":2014,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":257,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Perception; Stimulus (psychology); Neglect; Psychology; Cognitive psychology; Statistical inference; Inference; Computer science; Statistics; Artificial intelligence; Neuroscience; Mathematics","score_opus":0.051569104407024176,"score_gpt":0.3409654257390757,"score_spread":0.2893963213320515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039700032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99580246,0.0000072647917,0.00203462,0.0003889196,0.0014506144,0.00007555791,8.7224095e-7,0.0000044058393,0.00023529188],"genre_scores_gemma":[0.9995148,0.000030392688,0.000050209426,0.00017312294,0.00020203942,3.280296e-7,9.1265825e-8,0.000006761989,0.000022254906],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99851584,0.00043326995,0.0003391391,0.000114977076,0.0004965643,0.00010020524],"domain_scores_gemma":[0.99581975,0.0035975554,0.00033520078,0.00015504156,0.00004700826,0.000045467128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001180615,0.000081170525,0.00017708307,0.00010836032,0.00012314798,0.000041357627,0.00028621717,0.000039179795,0.000026716347],"category_scores_gemma":[0.0048428425,0.000038828566,0.00016292311,0.00013961305,0.000056598208,0.00014680938,0.000054624445,0.0002860973,0.00001713857],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009146993,0.00003435777,0.0003560671,0.0000043430823,0.000002360979,0.000006796062,0.0000673116,0.00048799865,0.9207642,0.00047789625,0.0003868024,0.07649716],"study_design_scores_gemma":[0.006691138,0.050892044,0.07799335,0.0017758955,0.00012700906,0.0008859273,0.00015402776,0.09937723,0.7544576,0.001890493,0.0053337254,0.00042157018],"about_ca_topic_score_codex":0.0000020453442,"about_ca_topic_score_gemma":0.00000227756,"teacher_disagreement_score":0.16630661,"about_ca_system_score_codex":0.000018986522,"about_ca_system_score_gemma":0.000010464649,"threshold_uncertainty_score":0.5797684},"labels":[],"label_agreement":null},{"id":"W2039803031","doi":"10.1038/npp.2009.79","title":"Potentiation of Gamma Oscillatory Activity through Repetitive Transcranial Magnetic Stimulation of the Dorsolateral Prefrontal Cortex","year":2009,"lang":"en","type":"article","venue":"Neuropsychopharmacology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":130,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"National Health and Medical Research Council; Medical Research Council; Canadian Institutes of Health Research; National Alliance for Research on Schizophrenia and Depression; Pfizer","keywords":"Transcranial magnetic stimulation; Neuroscience; Dorsolateral prefrontal cortex; Psychology; Working memory; Prefrontal cortex; Cognition; gamma-Aminobutyric acid; Long-term potentiation; Inhibitory postsynaptic potential; Interneuron; Stimulation; Medicine; Internal medicine; Receptor","score_opus":0.01491798680971269,"score_gpt":0.2715690966912936,"score_spread":0.2566511098815809,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039803031","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953114,0.0000097049515,0.00027175905,0.00065923936,0.0019059224,0.0004985688,0.000031246087,0.00003222431,0.0012799822],"genre_scores_gemma":[0.9985727,0.000033454926,0.000026715497,0.0011284191,0.00008517428,0.0000047291087,0.0000013805669,0.000012056384,0.00013538654],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99854696,0.00031380172,0.0003059291,0.00038049225,0.00025773182,0.0001950866],"domain_scores_gemma":[0.9993101,0.00011003519,0.00028421258,0.00020211426,0.000060542472,0.000032994543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000073195915,0.00014550588,0.00019503347,0.000056535737,0.00009820603,0.0000080277305,0.00020383533,0.00008131829,0.00015671473],"category_scores_gemma":[0.000049116392,0.00011627377,0.00013403533,0.00028649662,0.00016230876,0.00020870549,0.000022349797,0.00022132377,0.0000037548534],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008843948,0.00021399384,0.00035552448,0.000011201138,0.0000029913424,0.0000055005885,0.0001448712,0.00051504123,0.9922078,0.00026906628,0.000054699074,0.005334895],"study_design_scores_gemma":[0.001749626,0.0011672248,0.71769446,0.00000911776,0.000049922968,0.00002755385,0.0000036398321,0.008446457,0.2698259,0.00075990136,0.0001529911,0.00011320436],"about_ca_topic_score_codex":0.000012118132,"about_ca_topic_score_gemma":0.0000031116547,"teacher_disagreement_score":0.72238195,"about_ca_system_score_codex":0.00002609345,"about_ca_system_score_gemma":0.000029679517,"threshold_uncertainty_score":0.4741507},"labels":[],"label_agreement":null},{"id":"W2040008065","doi":"10.1016/j.neubiorev.2011.02.005","title":"The ongoing balance of cortical excitation and inhibition during early development","year":2011,"lang":"en","type":"review","venue":"Neuroscience & Biobehavioral Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Balance (ability); Neuroscience; Psychology; Medicine","score_opus":0.17044710479157807,"score_gpt":0.35502428314475326,"score_spread":0.1845771783531752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040008065","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06417569,0.93333876,0.000040978724,0.000002213661,0.0007718137,0.0015414918,0.000012496242,0.00004506054,0.000071480434],"genre_scores_gemma":[0.006651692,0.99283236,0.00007740328,0.00006011205,0.00003399788,0.00018008643,0.0000033627364,0.0000307604,0.00013025105],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.996793,0.0003721704,0.0011653984,0.0008352403,0.00039905382,0.00043517866],"domain_scores_gemma":[0.9984361,0.000029713477,0.0009350794,0.00041723682,0.000042840456,0.00013901759],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00067679374,0.0004085992,0.0008770398,0.00014158199,0.00068374013,0.00017053283,0.00039296073,0.00013230722,0.00000651856],"category_scores_gemma":[0.0007930072,0.00025400144,0.00022505416,0.0006901817,0.0005262243,0.0003362009,0.00022781618,0.00048132395,0.000029731797],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000045845964,0.00004187713,0.000052128307,0.0011919668,4.157096e-8,0.000007757465,0.000044900462,2.1365567e-8,0.024849465,0.0005167869,0.0000073872716,0.9732831],"study_design_scores_gemma":[0.00007934746,0.00013096207,0.0030857313,0.0031589684,0.00007550894,0.00007497094,0.0000029837297,0.000010053485,0.00023300592,0.00003135389,0.9928135,0.00030358124],"about_ca_topic_score_codex":0.000006249041,"about_ca_topic_score_gemma":0.000004722041,"teacher_disagreement_score":0.99280614,"about_ca_system_score_codex":0.000072622825,"about_ca_system_score_gemma":0.0001133355,"threshold_uncertainty_score":0.99999124},"labels":[],"label_agreement":null},{"id":"W2040853456","doi":"10.1152/jn.00122.2010","title":"An Evaluation of the Conductivity Profile in the Somatosensory Barrel Cortex of Wistar Rats","year":2010,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":98,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Aging","funders":"","keywords":"Somatosensory system; Laminar flow; Conductivity; Anisotropy; Isotropy; Barrel cortex; Cortex (anatomy); Chemistry; Neuroscience; Materials science; Physics; Optics; Mechanics; Psychology","score_opus":0.04703283125851706,"score_gpt":0.30297077693530894,"score_spread":0.2559379456767919,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040853456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982501,0.0000021280543,0.0000020926914,0.00031043045,0.0011592448,0.0001878758,0.0000066086277,0.0000018822071,0.00007958552],"genre_scores_gemma":[0.9995698,0.0000061792966,0.000013692786,0.00031379014,0.00008111412,0.0000018197937,3.0614405e-7,0.000006353437,0.000006942972],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9978975,0.0011345379,0.0003529186,0.00013111124,0.00038225204,0.00010170286],"domain_scores_gemma":[0.9985766,0.00031893182,0.00059278903,0.00028856957,0.0002014263,0.000021710579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039616533,0.000074833726,0.00018560028,0.00006639344,0.00005284492,0.0000067597657,0.0003792506,0.00004765688,0.000024612196],"category_scores_gemma":[0.00086153665,0.000039266248,0.00008647109,0.00020537172,0.00026231995,0.00015052504,0.000029084078,0.0004600884,0.000001153489],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007963586,0.00016866176,0.00020394954,0.0000070639667,0.000001623741,0.0000048446286,0.00009830856,0.0008430792,0.99749106,0.00048536333,0.000015520307,0.0006008785],"study_design_scores_gemma":[0.00054580695,0.0008353198,0.56487966,0.000010529127,0.000029363362,0.00020023581,0.000069631795,0.022937343,0.40657967,0.0038174556,0.00003496597,0.00006004593],"about_ca_topic_score_codex":0.0000070440287,"about_ca_topic_score_gemma":0.0000067429514,"teacher_disagreement_score":0.5909114,"about_ca_system_score_codex":0.00000764135,"about_ca_system_score_gemma":0.00010233828,"threshold_uncertainty_score":0.19988807},"labels":[],"label_agreement":null},{"id":"W2040973912","doi":"10.1016/s0896-6273(04)00076-5","title":"Local Gating of Information Processing through the Thalamus","year":2004,"lang":"en","type":"letter","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Thalamus; Neuroscience; Gating; Psychology; Sensory gating; Communication; Computer science","score_opus":0.02495507857290197,"score_gpt":0.24460401234975448,"score_spread":0.21964893377685252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040973912","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033202834,0.000061211256,0.019564832,0.91314715,0.003688604,0.0014778799,0.00008389259,0.00034315503,0.02843045],"genre_scores_gemma":[0.38098124,0.000017890325,0.000049018796,0.61813104,0.00050868036,0.000015579628,0.00003366504,0.000029457007,0.00023342643],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99857634,0.00009493973,0.00034376068,0.00024359638,0.0004946313,0.00024670915],"domain_scores_gemma":[0.9990582,0.00017675536,0.00044193992,0.00026588963,0.000045408226,0.000011802414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000065319575,0.00019396402,0.00016845264,0.000054982167,0.0001850054,0.00010781753,0.00032534244,0.00021149732,0.000013302582],"category_scores_gemma":[0.0001976827,0.00013068557,0.00008510547,0.00025154123,0.00017641316,0.0005728744,0.000078162506,0.001137549,0.000030257232],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014800795,0.00014205989,0.00005624063,0.005133112,0.000018510647,0.00042660677,0.004902104,0.022758417,0.1008091,0.0053610606,0.5546564,0.3055884],"study_design_scores_gemma":[0.0005380401,0.00035673843,0.00031805903,0.00038985632,0.000050532653,0.0002305404,0.00007200318,0.014652554,0.04605657,0.005317418,0.93149936,0.0005183334],"about_ca_topic_score_codex":0.000043162134,"about_ca_topic_score_gemma":0.0000013891173,"teacher_disagreement_score":0.37684298,"about_ca_system_score_codex":0.00004868624,"about_ca_system_score_gemma":0.00008123511,"threshold_uncertainty_score":0.53292024},"labels":[],"label_agreement":null},{"id":"W2041078406","doi":"10.1016/j.neuroimage.2013.08.029","title":"Theta oscillations orchestrate medial temporal lobe and neocortex in remembering autobiographical memories","year":2013,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":125,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Canadian Institutes of Health Research; National Institutes of Health; National Institute of Child Health and Human Development; Wellcome Trust","keywords":"Precuneus; Autobiographical memory; Neocortex; Magnetoencephalography; Temporal lobe; Psychology; Neuroscience; Semantic memory; Prefrontal cortex; Episodic memory; Temporal cortex; Cognitive psychology; Electroencephalography; Functional magnetic resonance imaging; Cognition","score_opus":0.029359945703282875,"score_gpt":0.24879585356312217,"score_spread":0.2194359078598393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041078406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99321663,0.0000068355494,0.000029995761,0.0019735878,0.00038697486,0.0003178705,0.000007412016,0.00010213314,0.003958579],"genre_scores_gemma":[0.9988943,0.00003918951,0.00009580218,0.0005138679,0.000078511206,0.000022291271,0.0000032277164,0.000018526098,0.00033432158],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99873406,0.00011119542,0.00022975398,0.00045209544,0.00019521471,0.00027767464],"domain_scores_gemma":[0.9994161,0.00019550722,0.00006053931,0.00020751222,0.000021612554,0.00009870721],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000105651794,0.00014977285,0.00014448255,0.00015978688,0.00013373495,0.00018601229,0.00012834508,0.000059065587,0.00008474568],"category_scores_gemma":[0.00028397734,0.00013032646,0.000044637414,0.0004814034,0.00021605151,0.00045505658,0.000096185395,0.00027638042,0.0000336258],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014196212,0.000041589137,0.026330296,0.000013038868,9.679479e-7,0.00006438828,0.00008724403,0.000034968685,0.9694366,0.0018786151,0.00023233815,0.0018657953],"study_design_scores_gemma":[0.0010571551,0.00029247534,0.90304,0.000030239877,0.000013604342,0.00017464177,0.00006364027,0.051933464,0.023173932,0.0171885,0.0024757541,0.00055659143],"about_ca_topic_score_codex":0.00016507166,"about_ca_topic_score_gemma":0.00018497853,"teacher_disagreement_score":0.94626266,"about_ca_system_score_codex":0.000010730006,"about_ca_system_score_gemma":0.000021154898,"threshold_uncertainty_score":0.5314558},"labels":[],"label_agreement":null},{"id":"W2041158750","doi":"10.1038/jcbfm.2012.35","title":"Updated Energy Budgets for Neural Computation in the Neocortex and Cerebellum","year":2012,"lang":"en","type":"review","venue":"Journal of Cerebral Blood Flow & Metabolism","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":743,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Wellcome Trust","keywords":"Neuroscience; Excitatory postsynaptic potential; Postsynaptic potential; Neocortex; Cerebellar cortex; Inhibitory postsynaptic potential; Cerebellum; Cerebral cortex; Glutamate receptor; Purkinje cell; Cortex (anatomy); Biology; Receptor","score_opus":0.046439012349614825,"score_gpt":0.2949269446268635,"score_spread":0.24848793227724864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041158750","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00374999,0.9916138,0.00041030618,0.00032506508,0.0030164663,0.0006937278,0.00007930614,0.00001639977,0.00009491473],"genre_scores_gemma":[0.009316028,0.9867953,0.00057688553,0.0009825574,0.0020246466,0.00003522025,0.000049232596,0.00007971269,0.00014039429],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99668074,0.00076702714,0.0012191783,0.00036765684,0.0004934518,0.00047196628],"domain_scores_gemma":[0.9975403,0.00063765136,0.001345343,0.00021438288,0.00011213389,0.00015019909],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008010835,0.0004661171,0.0015062221,0.0004332199,0.00016121414,0.00020237811,0.0005231356,0.00024925076,0.000017613713],"category_scores_gemma":[0.0001792437,0.000278993,0.0006014537,0.00054491987,0.00008670896,0.00051451335,0.0000815367,0.0007254343,0.0000026617304],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037905924,0.00020060243,0.0000043193554,0.0006916173,0.00006842215,0.00003719536,0.00009458647,0.00007384488,0.00017764962,0.0017389521,0.00051266194,0.99636227],"study_design_scores_gemma":[0.0014671629,0.00021227868,0.00013314579,0.00047812107,0.0023122248,0.0023322704,0.000014549243,0.0039538443,0.00005292882,0.001230527,0.98739374,0.00041923713],"about_ca_topic_score_codex":0.000011629093,"about_ca_topic_score_gemma":0.000010370392,"teacher_disagreement_score":0.995943,"about_ca_system_score_codex":0.000023542689,"about_ca_system_score_gemma":0.000105866755,"threshold_uncertainty_score":0.9999662},"labels":[],"label_agreement":null},{"id":"W2041321284","doi":"10.1371/journal.pone.0053953","title":"Dynamics of Distraction: Competition among Auditory Streams Modulates Gain and Disrupts Inter-Trial Phase Coherence in the Human Electroencephalogram","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Distraction; Audiology; Stimulus (psychology); Psychology; Electroencephalography; Sensory system; Active listening; Neuroscience; Communication; Cognitive psychology; Medicine","score_opus":0.03264373039178686,"score_gpt":0.2618277995884078,"score_spread":0.22918406919662093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041321284","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984456,0.000004004473,0.00015644029,0.00035002938,0.00009247321,0.0006751773,0.00001893029,0.000026804195,0.00023058747],"genre_scores_gemma":[0.9996129,0.00001916702,0.000027989332,0.00004879949,0.00010386815,0.00007950079,0.000037320064,0.000008033733,0.00006240262],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989627,0.00014057313,0.00023526803,0.0002499341,0.00024076326,0.00017078857],"domain_scores_gemma":[0.9994093,0.00019726125,0.0001481327,0.00017375879,0.000035385783,0.000036144163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011588899,0.00010904922,0.00015161686,0.000059706173,0.0001037016,0.00007786435,0.00015259655,0.000047796224,0.00004604657],"category_scores_gemma":[0.00011583837,0.000084043335,0.0000295114,0.00016836051,0.00022354013,0.00030185576,0.000030163506,0.0002227507,0.0000034635593],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002645866,0.0032931683,0.005498811,0.0000546345,0.000011398907,0.0000069411517,0.00012090244,0.00002385484,0.9848667,0.002777606,0.000021711548,0.003059708],"study_design_scores_gemma":[0.022348335,0.007750228,0.14984876,0.00060435024,0.00015491935,0.000025240515,0.00074888294,0.6668066,0.121580765,0.029297477,0.000009780591,0.0008246687],"about_ca_topic_score_codex":0.00020614291,"about_ca_topic_score_gemma":0.00028255399,"teacher_disagreement_score":0.8632859,"about_ca_system_score_codex":0.000044609154,"about_ca_system_score_gemma":0.000006984063,"threshold_uncertainty_score":0.34271875},"labels":[],"label_agreement":null},{"id":"W2041535526","doi":"10.1093/jmicro/52.4.425","title":"Complementary techniques for unbiased stereology of brain ultrastructure","year":2003,"lang":"en","type":"review","venue":"Journal of Electron Microscopy","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stereology; Ultrastructure; Neuron; Neuroscience; Biological system; Biology; Mathematics; Anatomy","score_opus":0.0433772967877861,"score_gpt":0.38628567269576486,"score_spread":0.34290837590797874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041535526","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001644823,0.99099034,0.0036791284,0.00028590992,0.0012352687,0.00165423,0.00039679543,0.000022869928,0.00009064986],"genre_scores_gemma":[0.00012260054,0.99428606,0.0041123964,0.00091099966,0.0002235373,0.000013862717,0.000038844202,0.00006681433,0.00022490468],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974775,0.00037306437,0.0012282591,0.0003086566,0.00021352476,0.0003990422],"domain_scores_gemma":[0.9966614,0.00073744374,0.0021841414,0.00021476792,0.00012996153,0.00007226572],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00044148776,0.0003615739,0.001550657,0.00038552206,0.000079800935,0.00003057326,0.00048180198,0.0002321166,0.00004929486],"category_scores_gemma":[0.00022281733,0.00027135143,0.0006891412,0.00030837007,0.000114368944,0.00010218721,0.00002585228,0.0006573815,0.0000010197335],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001841627,0.00012705615,0.0000037808989,0.0045793033,0.00009844892,0.000015819976,0.00001572952,9.4145264e-7,0.76612514,0.0008136846,0.015884506,0.21215145],"study_design_scores_gemma":[0.00032190245,0.0016678316,4.6307997e-7,0.0011536576,0.00022986358,0.00073997973,0.0000024313892,0.0000013869076,0.20632811,0.00076192536,0.7886057,0.00018679467],"about_ca_topic_score_codex":0.0000019548443,"about_ca_topic_score_gemma":0.0000031009924,"teacher_disagreement_score":0.7727212,"about_ca_system_score_codex":0.00016994365,"about_ca_system_score_gemma":0.00034912647,"threshold_uncertainty_score":0.9999739},"labels":[],"label_agreement":null},{"id":"W2041667574","doi":"10.1016/j.neulet.2010.09.015","title":"Perturbation-evoked electrodermal responses are sensitive to stimulus and context-dependent manipulations of task challenge","year":2010,"lang":"en","type":"article","venue":"Neuroscience Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre; Heart and Stroke Foundation; University of Waterloo; Toronto Rehabilitation Institute; University of Toronto","funders":"Toronto Rehabilitation Institute; Ontario Ministry of Health and Long-Term Care; Natural Sciences and Engineering Research Council of Canada; Heart and Stroke Foundation of Canada","keywords":"Stimulus (psychology); Neuroscience; Psychology; Cognitive psychology","score_opus":0.026639394312753518,"score_gpt":0.25683453830463016,"score_spread":0.23019514399187663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041667574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97729504,0.0000026318737,0.0011521808,0.020295488,0.0007486129,0.00032050072,0.000034882338,0.00005320279,0.00009746645],"genre_scores_gemma":[0.9830324,0.000009760314,0.000050121194,0.016596554,0.000056119192,0.000013028277,7.7197615e-7,0.000014387139,0.00022684941],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983241,0.000116874035,0.00020185325,0.0006229132,0.00041967307,0.00031458805],"domain_scores_gemma":[0.9990657,0.0003477465,0.00012125068,0.00028232925,0.000051147934,0.00013180806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016471861,0.00015384927,0.00016132233,0.00019507084,0.00028565474,0.00008045724,0.00020458963,0.000044100165,0.0000058322],"category_scores_gemma":[0.0012661997,0.00014272619,0.00004833569,0.00033766162,0.00027937503,0.0003009581,0.000091669084,0.00027772944,0.0000072165135],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006183027,0.000037132697,0.0005299676,0.0000048097404,6.037001e-7,0.000029127095,0.00021457893,0.0003508555,0.9961737,0.0015309881,0.000077371995,0.0009890272],"study_design_scores_gemma":[0.00074206584,0.000665304,0.16374284,0.000025159577,0.000023937846,0.00024116285,0.00013599593,0.036817826,0.79433614,0.00031912452,0.0023971589,0.0005533062],"about_ca_topic_score_codex":0.000019821575,"about_ca_topic_score_gemma":0.000054788372,"teacher_disagreement_score":0.20183758,"about_ca_system_score_codex":0.00001872195,"about_ca_system_score_gemma":0.00002367139,"threshold_uncertainty_score":0.58202046},"labels":[],"label_agreement":null},{"id":"W2041674840","doi":"10.1523/jneurosci.3950-04.2005","title":"High-Threshold K <sup>+</sup> Current Increases Gain by Offsetting a Frequency-Dependent Increase in Low-Threshold K <sup>+</sup> Current","year":2005,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hotchkiss Brain Institute; Alberta Children's Hospital; University of Calgary","funders":"Canadian Institutes of Health Research; Fondation pour la Recherche Médicale","keywords":"Neocortex; Subthreshold conduction; Neuroscience; Chemistry; Tonic (physiology); Excitatory postsynaptic potential; Biophysics; Physics; Biology; Inhibitory postsynaptic potential; Voltage","score_opus":0.02485348226609521,"score_gpt":0.2728263926316445,"score_spread":0.24797291036554928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041674840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99474907,0.0008372745,0.0004857027,0.0017761879,0.0013035489,0.00050711056,0.00013416572,0.000082533894,0.00012443565],"genre_scores_gemma":[0.9949216,0.0013524295,0.0001541589,0.0026183883,0.0007435102,0.000023196304,0.0000063250095,0.00006424935,0.00011611512],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99252397,0.0005390647,0.0019252436,0.00132783,0.0023955056,0.0012883795],"domain_scores_gemma":[0.99649364,0.00058114796,0.0011821978,0.0007001236,0.00023247673,0.0008104451],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017785023,0.00068245176,0.0007790075,0.00094323256,0.00053263013,0.00050785305,0.0017761355,0.00014262737,0.00006876996],"category_scores_gemma":[0.0030119563,0.0005900594,0.00035482735,0.0017016773,0.00048800377,0.0022722036,0.00046289075,0.001986808,0.000048651484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043508038,0.0039999993,0.011616963,0.00018416312,0.0000066553666,0.00088547845,0.00045561374,0.17602111,0.77032596,0.0017922167,0.0067622876,0.027514478],"study_design_scores_gemma":[0.0063935784,0.0020258958,0.0067047607,0.0018756095,0.00012031623,0.0027114924,0.00022137062,0.8923962,0.06861722,0.0029230358,0.0137758,0.0022347302],"about_ca_topic_score_codex":0.000108303,"about_ca_topic_score_gemma":0.000020022282,"teacher_disagreement_score":0.71637505,"about_ca_system_score_codex":0.00051307626,"about_ca_system_score_gemma":0.00045370663,"threshold_uncertainty_score":0.99965507},"labels":[],"label_agreement":null},{"id":"W2041778733","doi":"10.1016/j.expneurol.2013.10.019","title":"Dynamic modulation of epileptic high frequency oscillations by the phase of slower cortical rhythms","year":2013,"lang":"en","type":"article","venue":"Experimental Neurology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":88,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children; SickKids Foundation; University of Toronto","funders":"Canadian Institutes of Health Research; Sick Kids Foundation; Royal College of Physicians and Surgeons of Canada; Ontario Brain Institute","keywords":"Neuroscience; Epilepsy; Electroencephalography; Rhythm; Delta Rhythm; Amplitude; Cortical dysplasia; Cortex (anatomy); Low frequency; Physics; Medicine; Psychology; Internal medicine; Alpha rhythm; Optics","score_opus":0.016534171258050023,"score_gpt":0.27957073565372953,"score_spread":0.2630365643956795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041778733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971645,0.000027101556,0.00041465907,0.0009920918,0.00057356857,0.00037659804,0.000031361516,0.000025486239,0.0003946722],"genre_scores_gemma":[0.999005,0.0000065040904,0.00005764,0.0007575693,0.000016982747,0.000041314226,0.000014360619,0.000014717804,0.00008589052],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988246,0.00018207109,0.00033645798,0.00028380603,0.00018536852,0.00018767331],"domain_scores_gemma":[0.9992492,0.0002583451,0.0001623068,0.00025423363,0.000030896983,0.000044997487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004983043,0.000116833275,0.00016330746,0.00005220853,0.000106412524,0.000010877382,0.00014696897,0.00006625758,0.0005911892],"category_scores_gemma":[0.000102654165,0.00008707545,0.00006267869,0.00016901137,0.00035710045,0.0001487287,0.000057430218,0.00015427939,0.000039915456],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004061301,0.00026271478,0.00016638279,0.0000023518364,0.0000026438938,0.000001961605,0.00006106011,0.00014631254,0.99484426,0.0039683157,0.00016291655,0.00034048807],"study_design_scores_gemma":[0.001650742,0.002478372,0.020905819,0.000004048123,0.000009633311,0.00009464051,0.000044104105,0.18636912,0.7851076,0.003033673,0.00010115213,0.00020107147],"about_ca_topic_score_codex":0.00009980299,"about_ca_topic_score_gemma":0.0000024334468,"teacher_disagreement_score":0.20973662,"about_ca_system_score_codex":0.000014306538,"about_ca_system_score_gemma":0.0000106714015,"threshold_uncertainty_score":0.6473107},"labels":[],"label_agreement":null},{"id":"W2041847305","doi":"10.1186/1471-2202-10-s1-p189","title":"Burst firing regulates correlated activity in neurons","year":2009,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Bursting; Neuroscience; Tonic (physiology); Stimulus (psychology); Information transmission; Depolarization; Physics; Correlation; Artificial neural network; Sensory system; Computer science; Statistical physics; Biology; Psychology; Artificial intelligence; Biophysics; Cognitive psychology; Mathematics","score_opus":0.04346559581311456,"score_gpt":0.2683310650803913,"score_spread":0.22486546926727674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041847305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963687,0.000010982939,0.00056386914,0.0006833553,0.0010372862,0.00024929826,0.0000039019897,0.00018094316,0.00090167887],"genre_scores_gemma":[0.99706674,0.000026274764,0.000041069317,0.0019460834,0.000031828018,0.0000054849975,3.529813e-7,0.000012314515,0.00086986006],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9978616,0.00016126863,0.00021794329,0.000874501,0.00036752486,0.000517115],"domain_scores_gemma":[0.99911845,0.00024519145,0.00010764756,0.00039224682,0.000015245117,0.000121250356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019414834,0.00019320908,0.00016553895,0.0002001295,0.00025990303,0.00014283026,0.0004639525,0.000057605077,0.000008898075],"category_scores_gemma":[0.0011832225,0.00018223535,0.00006327105,0.001346256,0.00017800728,0.0006101729,0.00008842325,0.0003323274,0.00002854879],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003506339,0.00009030684,0.0018749005,0.0000034938555,4.006734e-8,0.000051505944,0.000016667718,0.0033607155,0.98633397,0.0011861477,0.000033397708,0.0070137987],"study_design_scores_gemma":[0.00042798155,0.000348338,0.56154317,0.000026966942,0.0000029354537,0.00011112599,0.0000030269284,0.1889826,0.24513504,0.0021655904,0.0009215217,0.00033167767],"about_ca_topic_score_codex":0.000012607207,"about_ca_topic_score_gemma":0.000019530786,"teacher_disagreement_score":0.7411989,"about_ca_system_score_codex":0.000047606594,"about_ca_system_score_gemma":0.000049449653,"threshold_uncertainty_score":0.7431342},"labels":[],"label_agreement":null},{"id":"W2041931301","doi":"10.1016/j.concog.2014.09.004","title":"Do cortical midline variability and low frequency fluctuations mediate William James’ “Stream of Consciousness”? “Neurophenomenal Balance Hypothesis” of “Inner Time Consciousness”","year":2014,"lang":"en","type":"review","venue":"Consciousness and Cognition","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Royal Ottawa Mental Health Centre","funders":"Canadian Institutes of Health Research","keywords":"Consciousness; Balance (ability); Psychology; Transitive relation; Cognitive psychology; Neural correlates of consciousness; Mind-wandering; Cognitive science; Neuroscience; Cognition; Mathematics","score_opus":0.022117350229396038,"score_gpt":0.259293355696832,"score_spread":0.23717600546743595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041931301","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.352197,0.6194444,0.002651746,0.00047452605,0.0033357667,0.0084078275,0.008588004,0.00057297986,0.0043277647],"genre_scores_gemma":[0.40463102,0.59449536,0.000120906814,0.00016413062,0.00016179049,0.00008970183,0.00017249885,0.000081480815,0.000083146704],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99486583,0.0011693885,0.0016036762,0.0013077329,0.0005532899,0.000500065],"domain_scores_gemma":[0.9926615,0.004727534,0.0012784158,0.0006223265,0.0004330909,0.0002771711],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008724602,0.0007326065,0.00239843,0.00034320814,0.0003229018,0.00010677691,0.00033745295,0.00044835548,0.00018242876],"category_scores_gemma":[0.003113197,0.00061109406,0.00031650692,0.00063292816,0.0021130603,0.00022527954,0.00019001517,0.00057337363,0.00003159574],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022289639,0.0013894999,0.0005625862,0.03405529,0.00029249594,0.000075858785,0.0002711871,0.000010660522,0.035283856,0.010075214,0.00022379076,0.9175367],"study_design_scores_gemma":[0.04386158,0.013162209,0.013864348,0.16240552,0.04923612,0.0076507134,0.0008625572,0.04593224,0.019336697,0.38068527,0.23094529,0.03205746],"about_ca_topic_score_codex":0.000009768131,"about_ca_topic_score_gemma":0.0000055991018,"teacher_disagreement_score":0.8854792,"about_ca_system_score_codex":0.000046293208,"about_ca_system_score_gemma":0.00031714782,"threshold_uncertainty_score":0.999634},"labels":[],"label_agreement":null},{"id":"W2041962650","doi":"10.1002/cne.20708","title":"Tone responses in core versus belt auditory cortex in the developing chinchilla","year":2005,"lang":"en","type":"article","venue":"The Journal of Comparative Neurology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Hospital for Sick Children","funders":"","keywords":"Chinchilla; Biology; Auditory cortex; Tone (literature); Tone burst; Neuroscience; Audiology; Anatomy","score_opus":0.10142930355459144,"score_gpt":0.36401444335006855,"score_spread":0.2625851397954771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041962650","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98506534,0.000059683072,0.000054333977,0.01300743,0.0010039317,0.00014153506,0.0000015468349,0.000004875317,0.00066130515],"genre_scores_gemma":[0.99447197,0.00010885102,0.000020064876,0.0050687212,0.00028750612,0.0000020575576,2.1443566e-7,0.000005787826,0.000034856927],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99756575,0.0014422283,0.0004085709,0.00012743393,0.00024443344,0.00021157927],"domain_scores_gemma":[0.9959588,0.0035084332,0.00031992552,0.00014843373,0.000040047886,0.000024369683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008526743,0.000119940814,0.000240011,0.00017725455,0.00012602052,0.000016943437,0.00049302075,0.000043433884,0.000012462198],"category_scores_gemma":[0.00031696018,0.00006618071,0.000044970348,0.0003444361,0.00021134857,0.00013759422,0.00005536259,0.00076372456,0.000012074833],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.038921516,0.00054205983,0.005907162,0.000010417347,0.000030480369,0.00064076716,0.014432904,0.021447537,0.88691866,0.021838121,0.006201205,0.0031091655],"study_design_scores_gemma":[0.0041811103,0.0034466414,0.9498972,0.000028650906,0.000024514127,0.0015779525,0.00038781093,0.008460148,0.00901066,0.0036437265,0.019081395,0.00026016007],"about_ca_topic_score_codex":0.000006130317,"about_ca_topic_score_gemma":0.00030634284,"teacher_disagreement_score":0.94399005,"about_ca_system_score_codex":0.00003705774,"about_ca_system_score_gemma":0.00008116322,"threshold_uncertainty_score":0.33180457},"labels":[],"label_agreement":null},{"id":"W2042102921","doi":"10.1016/s0167-2789(03)00067-8","title":"Clustering in neural networks with heterogeneous and asymmetrical coupling strengths","year":2003,"lang":"en","type":"article","venue":"Physica D Nonlinear Phenomena","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Coupling (piping); Cluster (spacecraft); Stability (learning theory); Statistical physics; Physics; Artificial neural network; Cluster analysis; Phase (matter); Coupling strength; Topology (electrical circuits); State (computer science); Mathematics; Combinatorics; Computer science; Quantum mechanics; Algorithm; Artificial intelligence; Materials science; Condensed matter physics; Statistics","score_opus":0.016085946696178702,"score_gpt":0.23864753922800813,"score_spread":0.22256159253182944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042102921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972225,0.00006643869,0.0014033122,0.000080190934,0.0001354201,0.00019331959,0.000005451265,0.000052900363,0.00084048166],"genre_scores_gemma":[0.9990189,0.000032918357,0.00039979295,0.00027859557,0.0001940879,0.000010544362,0.000003280719,0.00002984053,0.00003203364],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988351,0.00004807898,0.00016963172,0.00044005708,0.00016297799,0.00034418606],"domain_scores_gemma":[0.9993974,0.0002632306,0.00006353562,0.000168107,0.000013912718,0.000093796734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007654349,0.00017507188,0.0001910289,0.00009036766,0.00010477575,0.000073791925,0.0000931568,0.000031154832,0.000006480079],"category_scores_gemma":[0.00008576212,0.00014555219,0.000029655128,0.00050579314,0.000068124304,0.00012772743,0.000052684976,0.00023596284,0.0000034561092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002169339,0.00049987633,0.0022162516,0.000037979666,0.000013151629,0.00011251286,0.00014019043,0.9304474,0.027276643,0.00087093463,0.000006524073,0.03816158],"study_design_scores_gemma":[0.0005286043,0.00019652963,0.00025361922,0.000010009968,0.0000056168533,0.000028865239,0.00001346465,0.9965237,0.0018997613,0.000045456236,0.000309327,0.0001850501],"about_ca_topic_score_codex":0.000008297594,"about_ca_topic_score_gemma":0.000014690188,"teacher_disagreement_score":0.06607627,"about_ca_system_score_codex":0.000035827416,"about_ca_system_score_gemma":0.000010021275,"threshold_uncertainty_score":0.5935446},"labels":[],"label_agreement":null},{"id":"W2042209107","doi":"10.1016/j.cortex.2013.01.008","title":"The effects of working memory training on functional brain network efficiency","year":2013,"lang":"en","type":"article","venue":"Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":184,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Universität Zürich; Saskatoon City Hospital Foundation","keywords":"Psychology; Working memory; Electroencephalography; Functional connectivity; Working memory training; Neuroscience; Small-world network; Resting state fMRI; Cognitive psychology; Cognition; Audiology; Computer science; Complex network; Medicine","score_opus":0.03279208249137844,"score_gpt":0.22649545231930054,"score_spread":0.1937033698279221,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042209107","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9839172,0.000059535607,0.00070016953,0.001027851,0.0032557647,0.00037339647,4.498953e-7,0.000061005703,0.01060464],"genre_scores_gemma":[0.99564844,0.000012897995,0.000010778655,0.0019629204,0.00026659918,0.000030329842,8.9918467e-7,0.00001281513,0.002054336],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989275,0.000101350925,0.00017089318,0.00025947767,0.00026006103,0.00028076905],"domain_scores_gemma":[0.99685013,0.0027692001,0.00010858808,0.00020196436,0.000021883481,0.000048201517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001873067,0.00010346789,0.00010667381,0.00003134971,0.000367797,0.000056048702,0.00016842375,0.000052988522,0.000044167136],"category_scores_gemma":[0.0008028172,0.00006894106,0.00006856935,0.000278222,0.00011550299,0.000060416205,0.00004029591,0.0002186423,0.00007148896],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005699517,0.00007212816,0.0002550788,0.000025119905,0.0000075929324,0.000009471019,0.00022505508,0.0022079176,0.76164854,0.028333578,0.01180173,0.1953568],"study_design_scores_gemma":[0.0037003516,0.0032031923,0.58955795,0.00093216216,0.00006950011,0.00011466346,0.0005638942,0.23648773,0.08896347,0.041161723,0.03368916,0.0015562138],"about_ca_topic_score_codex":0.000003907225,"about_ca_topic_score_gemma":0.0000024874741,"teacher_disagreement_score":0.6726851,"about_ca_system_score_codex":0.000018339588,"about_ca_system_score_gemma":0.000023405308,"threshold_uncertainty_score":0.28288344},"labels":[],"label_agreement":null},{"id":"W2042211631","doi":"10.1523/jneurosci.4195-08.2009","title":"Reduction of Spike Afterdepolarization by Increased Leak Conductance Alters Interspike Interval Variability","year":2009,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Research Resources; National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Conductance; Neuroscience; Neuron; Electrophysiology; Stimulus (psychology); Biophysics; Biology; Physics; Psychology","score_opus":0.02201763860089953,"score_gpt":0.2653889769311166,"score_spread":0.2433713383302171,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042211631","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97880554,0.000011973859,0.017790351,0.0011959478,0.0018925167,0.00013260613,0.000013013712,0.000018691757,0.00013935869],"genre_scores_gemma":[0.99835914,0.000041781732,0.00018554572,0.0012455,0.00007805423,6.7964646e-7,6.5172486e-7,0.000007907344,0.00008071804],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997873,0.00028250524,0.00068688253,0.00036501914,0.0005645571,0.0002280537],"domain_scores_gemma":[0.9984935,0.000113876464,0.0008610611,0.0002343974,0.00016455541,0.00013261558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068386656,0.00015209526,0.00026153852,0.00018065618,0.000106854364,0.0000782,0.0004771272,0.00005206471,0.000010340935],"category_scores_gemma":[0.0020056574,0.00012896524,0.00012771682,0.00064378546,0.0002794629,0.0010580464,0.00004324574,0.00031391336,0.0000012238839],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001488283,0.00019295186,0.00029923298,0.000008750844,6.2613503e-7,0.000011285962,0.000085316795,0.0001266609,0.9967034,0.0003224754,0.00025991062,0.001840558],"study_design_scores_gemma":[0.0008381132,0.0026519126,0.023422485,0.000117773605,0.00002824641,0.0010503792,0.000050185372,0.023647279,0.94444066,0.0026950983,0.00077226805,0.0002856074],"about_ca_topic_score_codex":0.0000072518164,"about_ca_topic_score_gemma":8.07682e-7,"teacher_disagreement_score":0.05226275,"about_ca_system_score_codex":0.00007737775,"about_ca_system_score_gemma":0.0000724783,"threshold_uncertainty_score":0.525905},"labels":[],"label_agreement":null},{"id":"W2042543270","doi":"10.1523/jneurosci.1085-09.2009","title":"Computational Models of Millisecond Level Duration Tuning in Neural Circuits","year":2009,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University; Ontario Innovation Trust","keywords":"Inferior colliculus; Neuroscience; Excitatory postsynaptic potential; Stimulus (psychology); Midbrain; Duration (music); Superior colliculus; Neurophysiology; Coincidence detection in neurobiology; Inhibitory postsynaptic potential; Neural coding; Brainstem; Psychology; Central nervous system; Physics; Medicine","score_opus":0.09627416418320264,"score_gpt":0.28841613324185955,"score_spread":0.1921419690586569,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042543270","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98648363,0.000015341802,0.011834025,0.00076822075,0.00055971096,0.000075351505,0.000008889267,0.000005103602,0.0002497002],"genre_scores_gemma":[0.9981734,0.00001780257,0.0002009385,0.0015270077,0.000037317597,2.9721568e-7,3.4537254e-7,0.0000047282433,0.000038160455],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99836606,0.000092468916,0.00060164504,0.00020844894,0.00054829876,0.00018310989],"domain_scores_gemma":[0.9990448,0.00015764746,0.0005236198,0.00008862178,0.000111319634,0.00007403968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003104262,0.00009748846,0.00018128513,0.0003148278,0.000088892826,0.000054727203,0.00031007174,0.000030125544,0.0000033308695],"category_scores_gemma":[0.0005229198,0.0000848945,0.00007218335,0.00062150124,0.00010609711,0.0011244676,0.000021766687,0.00023287686,5.303742e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017372267,0.00007146475,0.00019522001,0.0000033933768,1.4186493e-7,0.000042501466,0.00007761394,0.20708175,0.78635603,0.0010961292,0.0000174387,0.00504093],"study_design_scores_gemma":[0.00044831887,0.00049953343,0.09238851,0.000032288808,0.0000027801013,0.00044268154,0.000017094988,0.8817872,0.015758123,0.008509996,0.00001675613,0.00009671249],"about_ca_topic_score_codex":0.0000021959017,"about_ca_topic_score_gemma":0.0000014249601,"teacher_disagreement_score":0.77059793,"about_ca_system_score_codex":0.00003320169,"about_ca_system_score_gemma":0.000066959576,"threshold_uncertainty_score":0.3461897},"labels":[],"label_agreement":null},{"id":"W2042896591","doi":"10.1016/s0306-4522(03)00101-5","title":"Spontaneous field potentials influence the activity of neocortical neurons during paroxysmal activities in vivo","year":2003,"lang":"en","type":"article","venue":"Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Institute of Neurological Disorders and Stroke","keywords":"Neuroscience; Local field potential; Electrophysiology; Membrane potential; Hyperpolarization (physics); Premovement neuronal activity; Chemistry; Intracellular; Inhibitory postsynaptic potential; Bursting; Biophysics; Physics; Nuclear magnetic resonance; Psychology; Biology","score_opus":0.017489685176684037,"score_gpt":0.2464169087245879,"score_spread":0.22892722354790387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042896591","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99756867,0.0000026560149,0.00013995211,0.00041457207,0.000599618,0.00026448042,0.000007322063,0.000038209862,0.000964508],"genre_scores_gemma":[0.9985729,0.00002680338,0.000010226657,0.0010567578,0.000015668666,0.000016481092,2.3765173e-8,0.00001126623,0.0002898612],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99791396,0.00034388184,0.00025892773,0.00056533195,0.0004647061,0.00045320697],"domain_scores_gemma":[0.9985843,0.0007802732,0.00013649017,0.0004044815,0.000017251043,0.00007725732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021793699,0.00016921155,0.00018755873,0.00010954904,0.0002806408,0.000084864936,0.00045446915,0.000054304743,0.000029674526],"category_scores_gemma":[0.003012812,0.00012840172,0.0000732916,0.000706187,0.00041247398,0.00044360626,0.00011845295,0.0003567474,0.0000028297156],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058360034,0.00008903631,0.003002143,0.000010739435,1.9187249e-7,0.00031496063,0.000043866698,0.001740531,0.99242985,0.0020086414,0.000004947285,0.00029670986],"study_design_scores_gemma":[0.00017569655,0.00019145875,0.07359606,0.000012127123,0.000003754362,0.0009425227,0.000014411964,0.0027349398,0.9216998,0.0002998954,0.00018940066,0.00013988072],"about_ca_topic_score_codex":0.00005181193,"about_ca_topic_score_gemma":0.00004433497,"teacher_disagreement_score":0.07073002,"about_ca_system_score_codex":0.000025885844,"about_ca_system_score_gemma":0.00006749083,"threshold_uncertainty_score":0.523607},"labels":[],"label_agreement":null},{"id":"W2043071696","doi":"10.1046/j.1460-9568.2003.02793.x","title":"Neural substrates of microstimulation‐evoked tingling: a chronaxie study in human somatosensory thalamus","year":2003,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"University of Calgary","keywords":"Medial lemniscus; Microstimulation; Neuroscience; Somatosensory system; Thalamus; Grey matter; Somatosensory evoked potential; Medicine; Anatomy; Psychology; White matter; Stimulation; Magnetic resonance imaging","score_opus":0.06259613441812867,"score_gpt":0.28850680554267305,"score_spread":0.22591067112454438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043071696","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974563,0.000019078392,0.00005843157,0.000053725576,0.0007552825,0.00020734388,0.0000022627316,0.000017814376,0.0014297449],"genre_scores_gemma":[0.9995445,0.000008260566,0.000058435642,0.00018414731,0.00004680208,4.6882042e-7,1.2864136e-7,0.000027634964,0.00012962804],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9965609,0.0012329182,0.0009243639,0.00040313308,0.00055234035,0.00032638796],"domain_scores_gemma":[0.99852043,0.00022465567,0.0007727696,0.00025426684,0.000108353386,0.000119542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012852997,0.00019546151,0.0002851678,0.00035124642,0.00020109111,0.00010307803,0.0005602496,0.000016428696,0.000009926324],"category_scores_gemma":[0.0015739237,0.00016723004,0.000108201726,0.000787487,0.0002614214,0.00043129476,0.00006664141,0.00038062956,0.000004000192],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027086637,0.00037515402,0.02753072,0.000007967688,7.010266e-7,0.00067899236,0.0002868257,0.0051706135,0.9655658,0.00018810632,0.000005389326,0.00016266377],"study_design_scores_gemma":[0.0019098711,0.0020878457,0.781247,0.000054425313,0.000012603261,0.00075162196,0.00020706185,0.0045666182,0.20863268,0.00015883503,0.00011931842,0.00025208152],"about_ca_topic_score_codex":0.0000021816338,"about_ca_topic_score_gemma":0.0000022619404,"teacher_disagreement_score":0.7569331,"about_ca_system_score_codex":0.000029615683,"about_ca_system_score_gemma":0.000056330842,"threshold_uncertainty_score":0.6819443},"labels":[],"label_agreement":null},{"id":"W2043171116","doi":"10.1016/j.nbd.2009.04.011","title":"Synchronized gamma oscillations (30–50 Hz) in the amygdalo-hippocampal network in relation with seizure propagation and severity","year":2009,"lang":"en","type":"article","venue":"Neurobiology of Disease","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Polytechnique Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Scottish Rite Charitable Foundation of Canada","keywords":"Hippocampal formation; Neuroscience; Epilepsy; Relation (database); Electroencephalography; Psychology; Computer science; Data mining","score_opus":0.011840518060401869,"score_gpt":0.22679032846741914,"score_spread":0.21494981040701727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043171116","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966804,0.000017688015,0.00009762613,0.0023731233,0.000076457705,0.00050615857,0.000012312567,0.000022127306,0.0002141398],"genre_scores_gemma":[0.99861646,0.000029076176,0.000030667336,0.0012312048,0.00003905869,0.000013866721,0.000019456842,0.0000055506175,0.000014650967],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99875325,0.00042513062,0.00020965165,0.00032054525,0.0001011571,0.00019029522],"domain_scores_gemma":[0.99943244,0.00021527174,0.000111881964,0.00017531363,0.000019163803,0.000045899025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017885033,0.000114057184,0.00013460821,0.00007572684,0.000099825935,0.000015957321,0.00009938505,0.00005703454,0.000009333047],"category_scores_gemma":[0.0001871918,0.00007864688,0.000024179017,0.00036931864,0.00014547132,0.0001371674,0.000016633716,0.00019778454,0.000002201006],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0053126905,0.0013087688,0.73966974,0.00015315563,0.00001065119,0.00010964348,0.0011638249,0.06658291,0.14570206,0.026607266,0.0005826567,0.012796634],"study_design_scores_gemma":[0.00072446873,0.00034147358,0.98659784,0.000026816055,0.00001165008,0.00000712422,0.00001093228,0.0075124544,0.00015927682,0.0044428227,0.000068575675,0.000096588876],"about_ca_topic_score_codex":0.000008076686,"about_ca_topic_score_gemma":0.000043566302,"teacher_disagreement_score":0.24692808,"about_ca_system_score_codex":0.000019146095,"about_ca_system_score_gemma":0.000046144556,"threshold_uncertainty_score":0.32071266},"labels":[],"label_agreement":null},{"id":"W2043432018","doi":"10.1142/s0218127413501514","title":"A FRAMEWORK FOR INTERNEURAL DYNAMICS IN A CEREBRAL CORTEX CENTER","year":2013,"lang":"en","type":"article","venue":"International Journal of Bifurcation and Chaos","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Chaotic; Neuroscience; Synchronization (alternating current); Excitatory postsynaptic potential; Computer science; Measure (data warehouse); Cerebral cortex; Sensory system; Discrete time and continuous time; Control theory (sociology); Inhibitory postsynaptic potential; Mathematics; Psychology; Artificial intelligence; Control (management); Telecommunications","score_opus":0.022645397537068422,"score_gpt":0.2928719090588729,"score_spread":0.2702265115218045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043432018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97501194,0.000010691429,0.014656757,0.00830373,0.0015447012,0.00019023826,0.000018216833,0.000008263465,0.00025547846],"genre_scores_gemma":[0.9970378,0.00004583758,0.00068104087,0.0018059843,0.00020918918,0.000012987743,0.000006080483,0.000009041724,0.00019201684],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917257,0.000029507522,0.0003366965,0.0001326721,0.00021978872,0.00010877847],"domain_scores_gemma":[0.999284,0.00016216665,0.00025131842,0.000052895793,0.00019398278,0.00005562092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009253642,0.00008042661,0.000105497,0.00021274564,0.0000250798,0.00011773421,0.00020657586,0.000048375867,0.00006884776],"category_scores_gemma":[0.00031102254,0.000067276014,0.00006634634,0.00007471611,0.00003746452,0.00036378772,0.000035006837,0.00016175985,0.00000873874],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010980135,0.0011905482,0.1111708,0.000067078516,0.0000994058,0.000066218185,0.0017632035,0.00013923408,0.11406473,0.52058184,0.0021710559,0.24758789],"study_design_scores_gemma":[0.006864325,0.0010835408,0.19342147,0.00055907795,0.000025321153,0.001555597,0.0013925339,0.5304668,0.013135743,0.24542782,0.005414282,0.00065348716],"about_ca_topic_score_codex":0.000016854241,"about_ca_topic_score_gemma":0.00002454593,"teacher_disagreement_score":0.53032756,"about_ca_system_score_codex":0.000115247305,"about_ca_system_score_gemma":0.000018733353,"threshold_uncertainty_score":0.27434364},"labels":[],"label_agreement":null},{"id":"W2043830331","doi":"10.1523/jneurosci.1487-14.2015","title":"Neural Dynamics Underlying Attentional Orienting to Auditory Representations in Short-Term Memory","year":2015,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Baycrest Hospital","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Feature (linguistics); Psychology; Perception; Attentional control; Auditory perception; Electroencephalography; Auditory cortex; Cognitive psychology; Selective auditory attention; Neuroscience; Cognition; Selective attention","score_opus":0.1324328113634707,"score_gpt":0.35438525285054456,"score_spread":0.22195244148707385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043830331","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.988804,0.0000050543254,0.0031251204,0.001526231,0.005792827,0.00013998388,0.0000052751357,0.000019017561,0.0005824887],"genre_scores_gemma":[0.9981363,0.0000042663023,0.00020000814,0.0011035282,0.00020292246,0.0000032028147,5.498269e-7,0.000013471016,0.00033577633],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9976515,0.00016763389,0.0005628062,0.00038565136,0.00090085494,0.00033156291],"domain_scores_gemma":[0.9989552,0.00020164797,0.00019446312,0.00019319543,0.00016008217,0.00029540432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006304487,0.00013270142,0.00018058869,0.00044178494,0.00018005435,0.00017270188,0.0005039877,0.00003555019,0.000003983339],"category_scores_gemma":[0.002225455,0.0001206396,0.00009492831,0.0010385511,0.00013112827,0.0009713757,0.00012178022,0.00037354106,0.0000066169523],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005583229,0.00013266626,0.014933212,0.0000066249995,6.5346507e-7,0.0003734941,0.00024259162,0.02911736,0.9518739,0.0004914058,0.00041005603,0.0023621812],"study_design_scores_gemma":[0.0011756732,0.0010260219,0.58560747,0.00011839038,0.00002040376,0.0024378381,0.00095897773,0.3983234,0.007964107,0.0013637779,0.00046571405,0.0005382371],"about_ca_topic_score_codex":0.000006776451,"about_ca_topic_score_gemma":0.000026023054,"teacher_disagreement_score":0.9439098,"about_ca_system_score_codex":0.00020768149,"about_ca_system_score_gemma":0.00015059028,"threshold_uncertainty_score":0.491954},"labels":[],"label_agreement":null},{"id":"W2043919758","doi":"10.1155/2010/390910","title":"Estimation of Time-Varying Coherence and Its Application in Understanding Brain Functional Connectivity","year":2010,"lang":"en","type":"article","venue":"EURASIP Journal on Advances in Signal Processing","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Centres of Excellence","keywords":"Coherence (philosophical gambling strategy); Magnetoencephalography; Computer science; Kernel (algebra); Artificial intelligence; Time–frequency analysis; Class (philosophy); Representation (politics); Pattern recognition (psychology); Mathematics; Statistical physics; Electroencephalography; Statistics; Pure mathematics; Radar; Physics","score_opus":0.036019654691439626,"score_gpt":0.30021757585182773,"score_spread":0.2641979211603881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043919758","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.920189,0.00013136759,0.078410976,0.00034510044,0.00015087583,0.00016441164,0.0000019581453,0.000016899343,0.0005894072],"genre_scores_gemma":[0.99949205,0.000038069105,0.0002079894,0.00017345136,0.000055612465,0.0000062550926,0.0000010808399,0.000011117351,0.000014369465],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99879164,0.00010335417,0.0003440902,0.00028017312,0.00030301962,0.00017773944],"domain_scores_gemma":[0.9988441,0.0006663618,0.00034942184,0.000050623035,0.00003537025,0.00005411488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060497085,0.00012281921,0.00016226988,0.0002568203,0.00019328788,0.00006945714,0.00009503036,0.000054757398,0.00002064343],"category_scores_gemma":[0.0005634054,0.000112841466,0.000022359813,0.00044307043,0.00008211969,0.001286218,0.000021612064,0.0006129838,0.0000030551844],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001459983,0.000071453534,0.0021598039,0.00004389597,5.8301197e-7,0.000009401351,0.0001076208,0.04376293,0.8173969,0.0026277688,0.0000015535464,0.13367213],"study_design_scores_gemma":[0.0009675917,0.0001898009,0.0052802432,0.00035220085,0.00000365141,0.00023049164,0.000056534762,0.8739009,0.07110943,0.047647387,0.00004487724,0.00021692168],"about_ca_topic_score_codex":0.0000010533786,"about_ca_topic_score_gemma":0.000013593069,"teacher_disagreement_score":0.8301379,"about_ca_system_score_codex":0.0000959152,"about_ca_system_score_gemma":0.000053588505,"threshold_uncertainty_score":0.46015415},"labels":[],"label_agreement":null},{"id":"W2044080614","doi":"10.1007/s00221-009-1977-0","title":"Effects of thalamic high-frequency electrical stimulation on whisker-evoked cortical adaptation","year":2009,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Neuroscience; Sensory system; Stimulation; Somatosensory system; Thalamus; Sensory stimulation therapy; Barrel cortex; Sensory processing; Thalamic stimulator; Psychology; Deep brain stimulation; Medicine; Internal medicine","score_opus":0.056579227678430176,"score_gpt":0.368909635641401,"score_spread":0.31233040796297085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044080614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960428,0.000057358466,0.00025931746,0.0009509376,0.00018563028,0.00073022913,0.00000263602,0.000062655,0.0017084344],"genre_scores_gemma":[0.9988308,0.000009640318,0.00015478606,0.00047614163,0.00008792253,0.000036830617,0.000010762497,0.000017522874,0.00037558767],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968944,0.00075879274,0.00026930924,0.00051179016,0.0011053529,0.0004603338],"domain_scores_gemma":[0.9973289,0.0021847207,0.00006322573,0.00023397889,0.000069996044,0.00011920955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004298542,0.00015100783,0.00018013542,0.0003005034,0.00025421943,0.00005370579,0.00022987416,0.00010025121,0.00006448236],"category_scores_gemma":[0.001797897,0.00013585949,0.00006882738,0.0007419992,0.00015800181,0.00019203442,0.000042096177,0.00047800265,0.000081165526],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027885172,0.0006051446,0.000043772532,0.000007682108,0.000002082803,0.000027987553,0.00016378534,0.0001384536,0.9430308,0.05236319,0.00030174668,0.0030365265],"study_design_scores_gemma":[0.00094193185,0.0032254502,0.026790619,0.000025873285,0.000001988316,0.000005361934,0.00003261959,0.0289635,0.935311,0.004557278,0.000016855412,0.0001275222],"about_ca_topic_score_codex":0.00003991189,"about_ca_topic_score_gemma":9.2983146e-7,"teacher_disagreement_score":0.047805913,"about_ca_system_score_codex":0.00022804554,"about_ca_system_score_gemma":0.000053517535,"threshold_uncertainty_score":0.5540189},"labels":[],"label_agreement":null},{"id":"W2044120358","doi":"10.1016/j.concog.2011.10.003","title":"Relative blindsight arises from a criterion confound in metacontrast masking: Implications for theories of consciousness","year":2011,"lang":"en","type":"article","venue":"Consciousness and Cognition","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Simon Fraser University","keywords":"Blindsight; Psychology; Consciousness; Masking (illustration); Cognitive psychology; Visual masking; Backward masking; Social psychology; Perception; Visual perception; Neuroscience","score_opus":0.05687056927884637,"score_gpt":0.2782561357139772,"score_spread":0.22138556643513085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044120358","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9633011,0.00013815453,0.031741474,0.00028816558,0.00031055673,0.00072515116,0.00050582294,0.000044805165,0.0029447773],"genre_scores_gemma":[0.9991545,0.000101023325,0.0001795435,0.00023896225,0.00003038188,0.0001867089,0.000049608523,0.000014487658,0.000044751057],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989387,0.000098568235,0.00032643645,0.00038030604,0.000079898375,0.0001760844],"domain_scores_gemma":[0.99864435,0.00080983626,0.00019887823,0.00013676638,0.00016026168,0.00004989668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014778462,0.00014755581,0.00025564383,0.0001424409,0.00018191143,0.00004782162,0.0000923942,0.0000751854,0.000043008127],"category_scores_gemma":[0.00035855104,0.00013242538,0.000057241305,0.000203451,0.00039227173,0.00035428954,0.000033974815,0.00009467884,0.0000020683585],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071487244,0.00032226671,0.0128728375,0.000072184164,0.000036121663,0.0000057956445,0.0026465834,0.00000212657,0.44292593,0.52043617,0.000016700222,0.019948382],"study_design_scores_gemma":[0.002164853,0.00021356899,0.08180859,0.00012948133,0.00014944644,0.000015533478,0.0007545808,0.0010866596,0.09727507,0.81590587,0.00016889624,0.0003274247],"about_ca_topic_score_codex":0.0001071847,"about_ca_topic_score_gemma":0.00025994817,"teacher_disagreement_score":0.34565088,"about_ca_system_score_codex":0.000013052397,"about_ca_system_score_gemma":0.000038787275,"threshold_uncertainty_score":0.54001504},"labels":[],"label_agreement":null},{"id":"W2044290920","doi":"10.1016/j.neuron.2007.10.023","title":"Motor Cortex Gates Vibrissal Responses in a Thalamocortical Projection Pathway","year":2007,"lang":"en","type":"article","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":130,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Zona incerta; Inhibitory postsynaptic potential; GABAergic; Thalamus; Sensory system; Sensory gating; Motor cortex; Cortex (anatomy); Psychology; Biology; Gating; Stimulation","score_opus":0.029263859548882006,"score_gpt":0.2772092030644296,"score_spread":0.2479453435155476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044290920","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99631685,0.000004950207,0.00011804403,0.0003122817,0.00068131846,0.00035296247,0.0000057459624,0.00012544032,0.0020823958],"genre_scores_gemma":[0.9981059,0.000011404689,0.00002906478,0.0006419253,0.000108267755,0.00001406491,0.0000015011465,0.000021255277,0.001066638],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985739,0.00013680664,0.00025154962,0.0004373324,0.00025611318,0.00034428088],"domain_scores_gemma":[0.99924046,0.00043388258,0.00006164764,0.00017339534,0.000016948417,0.00007365132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026593896,0.00012920318,0.000114864386,0.00019404736,0.00008270069,0.000046510628,0.00010822618,0.00007063075,0.00002724781],"category_scores_gemma":[0.00081287354,0.000115210925,0.00004907466,0.0003805707,0.00006728011,0.00016989038,0.000044342265,0.00025233248,0.0000519782],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005380699,0.00010156456,0.00537939,0.000006634304,3.4857894e-7,0.00018788438,0.000032335334,0.0000025866427,0.9866282,0.0010278345,0.000031329782,0.0060638576],"study_design_scores_gemma":[0.00048263653,0.0007533525,0.66652316,0.000015024058,0.0000030618135,0.00012670037,0.000022180482,0.0059842104,0.32243103,0.00041129574,0.0030631763,0.00018414932],"about_ca_topic_score_codex":0.000032794498,"about_ca_topic_score_gemma":0.000056491896,"teacher_disagreement_score":0.66419715,"about_ca_system_score_codex":0.000047683614,"about_ca_system_score_gemma":0.000031476855,"threshold_uncertainty_score":0.46981654},"labels":[],"label_agreement":null},{"id":"W2044437717","doi":"10.1016/j.visres.2011.02.005","title":"Grasping the non-conscious: Preserved grip scaling to unseen objects for immediate but not delayed grasping following a unilateral lesion to primary visual cortex","year":2011,"lang":"en","type":"article","venue":"Vision Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":53,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"London Health Sciences Centre; Western University","funders":"Canadian Institutes of Health Research","keywords":"Visual field; Visual cortex; Blindsight; Psychology; Lesion; Neuroscience; GRASP; Visual system; Blind spot; Cognitive psychology; Visual perception; Computer science; Perception","score_opus":0.1376199272205972,"score_gpt":0.39161426880631833,"score_spread":0.2539943415857211,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044437717","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98625946,0.000014111553,0.008028674,0.0011579888,0.00088314037,0.0031861681,0.000010802693,0.000100798825,0.00035887264],"genre_scores_gemma":[0.9959955,0.000017108467,0.00051825016,0.0017710896,0.0001786249,0.00036018278,0.000012687879,0.00007075719,0.0010757694],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99542874,0.000505778,0.00051982695,0.0010472769,0.0012885181,0.0012098828],"domain_scores_gemma":[0.9973253,0.0013397108,0.0000957833,0.0005555,0.00026073417,0.0004229451],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0029230088,0.00027658767,0.00032586424,0.0006249092,0.0015655789,0.00036351316,0.0007824709,0.0001382116,0.000016262667],"category_scores_gemma":[0.0017892866,0.00020159526,0.00022158792,0.0014220478,0.000105237974,0.00039730518,0.00091049576,0.00057635177,0.00009827277],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010112037,0.000092570284,0.0002338304,0.000046263664,0.000010379929,0.00004836864,0.0011575619,0.00019571115,0.98780733,0.00011891818,0.00039789936,0.008879976],"study_design_scores_gemma":[0.0027311556,0.0048351157,0.07971244,0.00078671094,0.00004073321,0.000027823013,0.0012751537,0.14653656,0.7604924,0.0014531519,0.0010741301,0.001034646],"about_ca_topic_score_codex":0.0005958279,"about_ca_topic_score_gemma":0.000087341105,"teacher_disagreement_score":0.22731493,"about_ca_system_score_codex":0.00017888652,"about_ca_system_score_gemma":0.00016973393,"threshold_uncertainty_score":0.9997342},"labels":[],"label_agreement":null},{"id":"W2044487274","doi":"10.1016/j.neuroimage.2011.02.063","title":"Resting-state networks in the macaque at 7T","year":2011,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":150,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Macaque; Neuroscience; Neurophysiology; Context (archaeology); Resting state fMRI; Cognition; Computer science; Biology; Psychology","score_opus":0.0627460537033082,"score_gpt":0.25040143009647586,"score_spread":0.18765537639316765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044487274","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9664915,0.0000053991444,0.0001700576,0.0004222649,0.0004523315,0.00021802195,0.000004132824,0.00006879926,0.032167498],"genre_scores_gemma":[0.9931049,0.000032061387,0.000027672793,0.0053343377,0.000049629045,0.000012969632,0.0000011482704,0.000018112793,0.0014192073],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987994,0.00023098633,0.00016159276,0.00035224864,0.0001675193,0.00028829358],"domain_scores_gemma":[0.9993142,0.0002534535,0.00006386168,0.00032198572,0.000009120395,0.000037369227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015701095,0.00011324112,0.00008176929,0.000049592523,0.0001430916,0.000044271626,0.0003260993,0.000029510924,0.0000641734],"category_scores_gemma":[0.000257865,0.000078937956,0.000041590974,0.00031323326,0.0000848958,0.00012490008,0.000109203545,0.0002959634,0.00009315455],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049163663,0.00041999403,0.026485087,0.000034540026,0.0000026546509,0.0041732807,0.0023308056,0.0016890871,0.92707765,0.0070783584,0.01133643,0.018880447],"study_design_scores_gemma":[0.0017338141,0.00090698985,0.6748935,0.00005278282,0.00002162077,0.0010015859,0.000059188016,0.1989419,0.087095864,0.010039347,0.024270607,0.0009827982],"about_ca_topic_score_codex":0.00005405828,"about_ca_topic_score_gemma":0.00007945387,"teacher_disagreement_score":0.8399818,"about_ca_system_score_codex":0.000016918813,"about_ca_system_score_gemma":0.0000063358048,"threshold_uncertainty_score":0.32189965},"labels":[],"label_agreement":null},{"id":"W2045169802","doi":"10.1523/jneurosci.0673-09.2009","title":"Modulation of the Contrast Response Function by Electrical Microstimulation of the Macaque Frontal Eye Field","year":2009,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Research Resources; National Institute of Neurological Disorders and Stroke; National Institute of Biomedical Imaging and Bioengineering; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital; Natural Sciences and Engineering Research Council of Canada; European Commission; Vlaamse regering; Fonds Wetenschappelijk Onderzoek; National Institutes of Health; National Science Foundation","keywords":"Microstimulation; Neuroscience; Visual cortex; Stimulus (psychology); Contrast (vision); Macaque; Functional magnetic resonance imaging; Frontal eye fields; Psychology; Visual perception; Luminance; Supplementary eye field; Visual field; Eye movement; Stimulation; Perception; Saccade; Artificial intelligence; Cognitive psychology; Computer science","score_opus":0.012862528904218153,"score_gpt":0.2508136253029079,"score_spread":0.23795109639868975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045169802","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99201953,0.000010482148,0.003772115,0.002987036,0.0010153262,0.00014450634,0.000006658005,0.000004252095,0.000040108403],"genre_scores_gemma":[0.99777085,0.00000908242,0.000015027874,0.0019950585,0.000036903893,3.063209e-7,8.248019e-8,0.000003927257,0.00016877509],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99842995,0.00029787663,0.00042477116,0.000159441,0.0005492313,0.00013875119],"domain_scores_gemma":[0.99867105,0.0003224362,0.000688515,0.00018097764,0.000099500554,0.000037539972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032137966,0.000086020154,0.00013509902,0.00007273884,0.00016489367,0.000029687455,0.0003860042,0.000049805665,0.0000036497945],"category_scores_gemma":[0.0020523877,0.00004914679,0.00013839512,0.0005975593,0.00012241093,0.0002910843,0.00003187243,0.00026495973,2.8442201e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065306714,0.000074203184,0.0017392193,0.0000014937581,4.0058364e-7,9.562071e-7,0.000022233473,0.0018536964,0.99346507,0.00014377588,0.00030926368,0.0017366438],"study_design_scores_gemma":[0.00029538633,0.0008193763,0.4359026,0.000018397795,0.000009151629,0.000048019174,0.0000028018953,0.03115658,0.53097034,0.0004937675,0.00023941418,0.000044170712],"about_ca_topic_score_codex":0.0000035583523,"about_ca_topic_score_gemma":7.5685267e-7,"teacher_disagreement_score":0.4624947,"about_ca_system_score_codex":0.00003810452,"about_ca_system_score_gemma":0.00007035001,"threshold_uncertainty_score":0.2457048},"labels":[],"label_agreement":null},{"id":"W2045310765","doi":"10.1073/pnas.97.20.11120","title":"Reactivation of encoding-related brain activity during memory retrieval","year":2000,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":465,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"","keywords":"Encoding (memory); Auditory cortex; Stimulus (psychology); Neuroscience; Computer science; Brain activity and meditation; Encoding specificity principle; Psychology; Electroencephalography; Cognitive psychology","score_opus":0.03829338875080347,"score_gpt":0.28372422448759765,"score_spread":0.2454308357367942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045310765","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9840255,0.0000045432744,1.4796838e-7,0.0033769452,0.000028147504,0.00015285252,0.000007671409,0.000015475434,0.012388749],"genre_scores_gemma":[0.9988462,0.000018876943,0.000039248494,0.00013889218,0.000030090478,0.0000016233421,4.475708e-8,0.0000038400603,0.0009212384],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981522,0.000015950745,0.00030706258,0.00027883134,0.0011137145,0.00013224782],"domain_scores_gemma":[0.9990715,0.0002764403,0.0005069135,0.000009887933,0.000111085275,0.000024195406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091945805,0.00008408734,0.00013608694,0.00016023887,0.00021833704,0.000015482416,0.0004842501,0.00007873452,0.000056110417],"category_scores_gemma":[0.001642578,0.000060228813,0.000076804135,0.0012476372,0.0006401643,0.0007689485,0.000063499756,0.0001922265,0.0000014247595],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000715516,0.00004179034,0.00035539793,0.000032163796,0.0000024460044,5.4648712e-9,0.00009526479,0.00020385493,0.99214005,0.006318829,0.000043077755,0.00069557765],"study_design_scores_gemma":[0.00016959349,0.00004482187,0.054725885,0.000052326704,0.0000038257763,0.000009696169,0.00002120589,0.0027322434,0.929171,0.012994074,0.000016997554,0.00005828543],"about_ca_topic_score_codex":0.000005331361,"about_ca_topic_score_gemma":2.05949e-8,"teacher_disagreement_score":0.06296899,"about_ca_system_score_codex":0.000039351537,"about_ca_system_score_gemma":0.000022660153,"threshold_uncertainty_score":0.24560598},"labels":[],"label_agreement":null},{"id":"W2045410755","doi":"10.1007/s00359-010-0576-7","title":"A pair of motion-sensitive neurons in the locust encode approaches of a looming object","year":2010,"lang":"en","type":"article","venue":"Journal of Comparative Physiology A","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":60,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; University of Saskatchewan","keywords":"Looming; Neuroscience; Locust; Afterhyperpolarization; Interneuron; Biology; Postsynaptic potential; Neuron; Excitatory postsynaptic potential; Anatomy; Physics; Inhibitory postsynaptic potential; Membrane potential","score_opus":0.08739139596044332,"score_gpt":0.29500718528540426,"score_spread":0.20761578932496094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045410755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984489,0.0000070863675,0.00029579122,0.00038052892,0.0002853036,0.00013498374,0.000005862679,0.0000020599016,0.00043950416],"genre_scores_gemma":[0.99963677,0.000004303829,0.00012725356,0.0001455812,0.00006861713,0.000002481589,4.570622e-7,0.000003630172,0.000010887792],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986597,0.0005448561,0.00039108912,0.00012848625,0.00015575028,0.0001201321],"domain_scores_gemma":[0.9980999,0.001026174,0.0006272508,0.0001273639,0.00009713329,0.000022137017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035062147,0.00009793081,0.00035415124,0.00013254076,0.000048964557,0.0000056278095,0.00022198158,0.00004405571,0.0000060506645],"category_scores_gemma":[0.00022678768,0.000059661637,0.00011923504,0.00026021543,0.0003518889,0.00012860062,0.000031322375,0.00053301256,0.0000013617656],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023499706,0.00026213314,0.00048504843,0.000009702145,0.000009147309,0.000007057514,0.0020229202,0.0014730579,0.9902463,0.0050390903,0.000051916224,0.00015861019],"study_design_scores_gemma":[0.0010012195,0.0011935959,0.24515557,0.00004971508,0.00003071823,0.00024380912,0.0019894224,0.032135334,0.710383,0.007588159,0.00009294235,0.00013650143],"about_ca_topic_score_codex":0.000006387621,"about_ca_topic_score_gemma":0.0000256281,"teacher_disagreement_score":0.2798633,"about_ca_system_score_codex":0.000007448359,"about_ca_system_score_gemma":0.00004596259,"threshold_uncertainty_score":0.24329309},"labels":[],"label_agreement":null},{"id":"W2045435736","doi":"10.12688/f1000research.2-19.v1","title":"Moving beyond Type I and Type II neuron types","year":2013,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Neuroscience; Terminology; Context (archaeology); Type (biology); Cognitive science; Computer science; Cell type; Synchronization (alternating current); Computational neuroscience; Psychology; Biology","score_opus":0.06877723936525924,"score_gpt":0.3269487131094523,"score_spread":0.258171473744193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045435736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.981621,0.00030664183,0.000008751271,0.0016551513,0.0019049244,0.00062229304,0.000023728195,0.00013449935,0.013722996],"genre_scores_gemma":[0.9732924,0.0011616165,0.000101406134,0.0006442263,0.00032561691,0.000028467643,0.00002815905,0.00007058026,0.024347505],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976852,0.00022259438,0.00020876901,0.00082553015,0.00058755407,0.00047035865],"domain_scores_gemma":[0.998645,0.0003110311,0.00007634752,0.00054360856,0.00024712732,0.00017689969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029081645,0.00023505473,0.00023179926,0.00023262881,0.00034231864,0.00031095365,0.0005010004,0.00022333706,0.0006800525],"category_scores_gemma":[0.0014670636,0.00020675328,0.00004120049,0.0004453003,0.00018847814,0.00013971719,0.0027479841,0.0011563926,0.00045742988],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024852704,0.00017875027,0.0018810161,0.00048184276,0.000025246936,0.0001263363,0.0003109652,0.00055625377,0.9070939,0.010967067,0.038594663,0.039535437],"study_design_scores_gemma":[0.001944111,0.00557128,0.07861239,0.00068465335,0.00014558864,0.0002774015,0.00012789547,0.41440767,0.10169943,0.1342862,0.25822896,0.0040144296],"about_ca_topic_score_codex":0.00016689129,"about_ca_topic_score_gemma":0.000010321034,"teacher_disagreement_score":0.8053945,"about_ca_system_score_codex":0.000051300096,"about_ca_system_score_gemma":0.00016512345,"threshold_uncertainty_score":0.8431154},"labels":[],"label_agreement":null},{"id":"W2045500526","doi":"10.5539/cis.v2n1p108","title":"An Analysis of Improving Memory Performance Based on EEG Alpha and Theta Oscillations","year":2009,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Font; Computer science; Alpha (finance); Electroencephalography; Face (sociological concept); Speech recognition; Arithmetic; Artificial intelligence; Psychology; Neuroscience; Mathematics; Linguistics; Statistics","score_opus":0.014040428881827322,"score_gpt":0.2422284382868896,"score_spread":0.2281880094050623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045500526","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96684057,0.0000011895388,0.031270303,0.0001386721,0.00009113277,0.00007995451,0.000005434205,0.000024349692,0.0015484025],"genre_scores_gemma":[0.99755913,0.0000096869735,0.0005814941,0.0018323485,0.000008125919,7.2410415e-7,0.0000033576907,8.2833947e-7,0.0000042931238],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992638,0.000015998974,0.00018347736,0.00015876087,0.00026814395,0.000109770204],"domain_scores_gemma":[0.99953127,0.00005279519,0.00010608872,0.00017365004,0.00007080477,0.00006537167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003172526,0.00006423436,0.00008977466,0.00053831877,0.00028669598,0.00017650082,0.000140872,0.00001622217,0.000003739684],"category_scores_gemma":[0.00004117831,0.00005058479,0.000019905243,0.0010748265,0.00016438134,0.0035824955,0.00002561124,0.00004551239,0.000001315612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037420756,0.00006106742,0.0046187635,0.000025474084,0.0000033945219,2.8750952e-7,0.0011478652,0.16403265,0.098905884,0.009246911,0.000012701895,0.72190756],"study_design_scores_gemma":[0.00008427924,0.00019920131,0.25968668,0.0000035637165,0.000007706338,0.0000011839846,0.000008688082,0.7370719,0.0028402267,0.000018774133,0.00003116615,0.00004667115],"about_ca_topic_score_codex":0.0000029619662,"about_ca_topic_score_gemma":3.3829454e-7,"teacher_disagreement_score":0.7218609,"about_ca_system_score_codex":0.000012373427,"about_ca_system_score_gemma":0.000028634624,"threshold_uncertainty_score":0.25972226},"labels":[],"label_agreement":null},{"id":"W2045605933","doi":"10.1167/14.10.519","title":"Decoding the allocation of visual attention from prefrontal neural assemblies in behaving primates","year":2014,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Ottawa Hospital; McGill University","funders":"","keywords":"Saccade; Macaque; Prefrontal cortex; Population; Computer science; Neuroscience; Coding (social sciences); Stimulus (psychology); Primate; Decoding methods; Neural activity; Eye movement; Psychology; Artificial intelligence; Cognitive psychology; Cognition; Medicine; Mathematics","score_opus":0.020383758511644423,"score_gpt":0.30291178241412037,"score_spread":0.28252802390247594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045605933","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99767506,0.000024066525,0.0012798262,0.00040477654,0.00049333344,0.000063248364,9.849334e-7,0.0000048213756,0.000053863638],"genre_scores_gemma":[0.99962735,0.000028695205,0.00015827978,0.0000714913,0.00009443538,5.862484e-7,0.000001417092,0.0000065418058,0.000011176291],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989673,0.00015946981,0.00038402912,0.00010420295,0.0002940545,0.0000909726],"domain_scores_gemma":[0.9990861,0.00032381405,0.00044052413,0.0000725872,0.000053871132,0.00002311271],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044920912,0.00006664956,0.00012588907,0.00011289159,0.00006988619,0.000053267842,0.00013893492,0.00003421243,0.000007722588],"category_scores_gemma":[0.00037230624,0.000042722135,0.00006841414,0.00012359094,0.000029520264,0.00044744453,0.0000425769,0.00015617245,0.0000015541129],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055771336,0.00007324212,0.009683898,0.000005487805,0.0000011867214,0.0000015160432,0.00008514698,0.00039829494,0.97059995,0.000106118576,0.000018022483,0.018971339],"study_design_scores_gemma":[0.000415022,0.00052335014,0.7362618,0.00012739527,0.000015346384,0.000023085962,0.00009754548,0.18013437,0.08172324,0.00058635353,0.000029743913,0.000062749714],"about_ca_topic_score_codex":0.00002931844,"about_ca_topic_score_gemma":0.000022799577,"teacher_disagreement_score":0.88887674,"about_ca_system_score_codex":0.000038510596,"about_ca_system_score_gemma":0.000010251257,"threshold_uncertainty_score":0.17421581},"labels":[],"label_agreement":null},{"id":"W2045706451","doi":"10.1002/hbm.21068","title":"Detection and localization of hippocampal activity using beamformers with MEG: A detailed investigation using simulations and empirical data","year":2010,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":118,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Hospital for Sick Children","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Magnetoencephalography; Computer science; Noise (video); Neuroscience; Pattern recognition (psychology); Hippocampal formation; Artificial intelligence; Focus (optics); Brain activity and meditation; Psychology; Speech recognition; Electroencephalography; Physics","score_opus":0.14027214975391947,"score_gpt":0.328726255215554,"score_spread":0.18845410546163452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045706451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8864817,0.0000015181728,0.113113075,0.00007409089,0.00006296298,0.00021389734,0.000010175757,0.000030677747,0.0000119170445],"genre_scores_gemma":[0.99865144,6.798338e-7,0.0010974222,0.00016913509,0.000047210033,0.0000012668737,0.000012827128,0.00001532651,0.00000466458],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990021,0.000102055325,0.00018081741,0.0003957188,0.00017560192,0.00014368465],"domain_scores_gemma":[0.99925107,0.00021428862,0.00019086864,0.00023588516,0.000041488423,0.000066429144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024271301,0.00011926031,0.00013270181,0.00017071619,0.00055871083,0.000081376405,0.000078119025,0.00007360325,0.000005121286],"category_scores_gemma":[0.00039290462,0.0001115284,0.00001170233,0.00033276304,0.00025742868,0.0006873468,0.00010143177,0.00018363963,1.1547425e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016049578,0.0000122440015,0.021140892,0.000034266446,0.000003594587,6.465801e-7,0.00022870333,0.00332685,0.9742161,0.00008224424,9.1462874e-7,0.0009374799],"study_design_scores_gemma":[0.0003276728,0.000052439056,0.0436936,0.00003749243,0.000020988555,0.00003336753,0.000053670625,0.93687874,0.017915595,0.0008166878,0.00003546878,0.00013429132],"about_ca_topic_score_codex":0.0000641044,"about_ca_topic_score_gemma":0.00044411048,"teacher_disagreement_score":0.9563005,"about_ca_system_score_codex":0.00002521989,"about_ca_system_score_gemma":0.000035145542,"threshold_uncertainty_score":0.45479962},"labels":[],"label_agreement":null},{"id":"W2045718133","doi":"10.1371/journal.pone.0000369","title":"An Auditory Neural Correlate Suggests a Mechanism Underlying Holistic Pitch Perception","year":2007,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Scuola Internazionale Superiore di Studi Avanzati","keywords":"Tonotopy; Percept; Stimulus (psychology); Auditory system; Perception; Sensory system; Auditory perception; Computer science; Neural coding; Neuroscience; Speech recognition; Communication; Biology; Auditory cortex; Psychology; Artificial intelligence; Cognitive psychology","score_opus":0.12216707707676527,"score_gpt":0.29626803888319936,"score_spread":0.17410096180643408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045718133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938746,0.0000030802637,0.0040970077,0.00016613054,0.0008502096,0.00024178803,0.0000068640597,0.00023465899,0.0005256796],"genre_scores_gemma":[0.9978426,0.000016090133,0.00027873513,0.00081992394,0.00033561562,0.000008117318,0.000010021334,0.00003255217,0.0006563135],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99845237,0.00008370188,0.00020976958,0.00043754533,0.00044946588,0.0003671643],"domain_scores_gemma":[0.9992811,0.000166017,0.00009379801,0.00026466628,0.00004558272,0.00014880547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002549229,0.00015171587,0.00014974741,0.00012353591,0.00026556864,0.00008137116,0.00017652463,0.000096552925,0.00009963246],"category_scores_gemma":[0.00019570762,0.00015123676,0.0000437102,0.0002154119,0.000054658536,0.0003356561,0.00003640527,0.00029937603,0.00017616588],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042515396,0.00044594897,0.00016804616,0.000020502172,0.0000040320438,0.000037288366,0.00012208182,0.00004312952,0.9954672,0.0019512576,0.000016401837,0.0016816315],"study_design_scores_gemma":[0.0015432885,0.0020700542,0.17435072,0.00020908186,0.00022975434,0.000113744136,0.00038711572,0.6456737,0.15675934,0.01740818,0.000055203032,0.0011998076],"about_ca_topic_score_codex":0.00002292988,"about_ca_topic_score_gemma":0.000027865715,"teacher_disagreement_score":0.8387078,"about_ca_system_score_codex":0.00009981154,"about_ca_system_score_gemma":0.000014986594,"threshold_uncertainty_score":0.6167256},"labels":[],"label_agreement":null},{"id":"W2045792618","doi":"10.1007/s00422-007-0207-8","title":"Spikes annihilation in the Hodgkin-Huxley neuron","year":2008,"lang":"en","type":"article","venue":"Biological Cybernetics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Hodgkin–Huxley model; Spike (software development); Pulse (music); Annihilation; Neuron; Physics; Nonlinear system; Inverse; Biological neuron model; Statistical physics; Mathematics; Computer science; Neuroscience; Quantum mechanics; Voltage","score_opus":0.10298708828750622,"score_gpt":0.269241234657295,"score_spread":0.16625414636978877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045792618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933174,0.000025655023,0.000075589756,0.0009907219,0.00020044328,0.00017956884,0.0000039324564,0.000044310003,0.0051623792],"genre_scores_gemma":[0.9969121,0.000249727,0.00005062686,0.0024203886,0.00009570408,0.000008854713,0.000005106003,0.000005045673,0.00025240504],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990153,0.00018194475,0.00016417302,0.00027547847,0.00016325079,0.00019985154],"domain_scores_gemma":[0.9994476,0.00029853595,0.000050003244,0.0001631622,0.0000118511825,0.000028881192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013210697,0.00010165038,0.00009121158,0.000033381228,0.00011894216,0.00002280822,0.00023256648,0.00008245102,0.00003127585],"category_scores_gemma":[0.00041380085,0.00005641515,0.000043522155,0.00025384186,0.00016304436,0.000041104082,0.00004533322,0.00018880116,0.000065928994],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017377766,0.0006456694,0.14069103,0.000008591224,0.0000015881582,0.0004567671,0.0009858743,0.00072721095,0.7883326,0.05222645,0.0032807358,0.012469714],"study_design_scores_gemma":[0.0002956905,0.0006086909,0.95378095,0.000004428412,0.0000024647873,0.00015261026,0.000026677468,0.0037539424,0.006859596,0.0046233227,0.029686822,0.00020483491],"about_ca_topic_score_codex":0.000011682836,"about_ca_topic_score_gemma":0.0000052631353,"teacher_disagreement_score":0.8130899,"about_ca_system_score_codex":0.000012530723,"about_ca_system_score_gemma":0.0000068804843,"threshold_uncertainty_score":0.2300543},"labels":[],"label_agreement":null},{"id":"W2046017340","doi":"10.1007/s00221-011-2897-3","title":"Temporal attention facilitates short-term consolidation during a rapid serial auditory presentation task","year":2011,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Baycrest Hospital","funders":"","keywords":"P3b; Attentional blink; Rapid serial visual presentation; Time perception; Psychology; Neuroscience; Scalp; Event-related potential; Audiology; Electroencephalography; Perception; Medicine; Anatomy","score_opus":0.1314746368141678,"score_gpt":0.3738996303791924,"score_spread":0.2424249935650246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046017340","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99478906,0.000038379236,0.000041506817,0.00022662325,0.001030891,0.00081007666,0.000036548,0.000120989345,0.002905911],"genre_scores_gemma":[0.99697477,0.000014186218,0.000074869975,0.00005950092,0.0003573143,0.00020231568,0.00006881956,0.000029581104,0.0022186728],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968863,0.00073516025,0.00032692854,0.0006811202,0.0008371762,0.0005333234],"domain_scores_gemma":[0.9991371,0.00026381298,0.00006190736,0.00029942763,0.00008339965,0.00015432565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060922204,0.00018213308,0.00014659311,0.00030205355,0.0005972428,0.00015046606,0.0002792463,0.00009742139,0.00075507606],"category_scores_gemma":[0.00034551226,0.0001799745,0.0000928402,0.00034910635,0.00037268555,0.0007414775,0.00022133412,0.00032053178,0.0002472665],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050510897,0.00024363538,0.001293322,0.000022370219,0.0000060844027,0.000034931938,0.00128923,0.00000150779,0.9946256,0.00037772342,0.0010251207,0.0005753179],"study_design_scores_gemma":[0.0007189423,0.00055881456,0.039042823,0.000021170568,0.0000018773167,0.000024923167,0.0012521532,0.00063080864,0.95702106,0.00020442759,0.00031761476,0.0002053679],"about_ca_topic_score_codex":0.00010367528,"about_ca_topic_score_gemma":0.000008178148,"teacher_disagreement_score":0.0377495,"about_ca_system_score_codex":0.00019723113,"about_ca_system_score_gemma":0.000045436667,"threshold_uncertainty_score":0.82675534},"labels":[],"label_agreement":null},{"id":"W2046052496","doi":"10.3389/fnhum.2014.00452","title":"Using evolutionary theory to enhance the brain imaging paradigm","year":2014,"lang":"en","type":"article","venue":"Frontiers in Human Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Neuroscience; Cognitive science; Neuroimaging; Computer science; Psychology","score_opus":0.023613771751234816,"score_gpt":0.28991459893893723,"score_spread":0.2663008271877024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046052496","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44391572,0.00003560622,0.54638976,0.003738004,0.0039935033,0.0004618704,0.0000058249,0.0001017862,0.0013579482],"genre_scores_gemma":[0.98330164,0.00000421081,0.0008816803,0.014917657,0.00011272872,0.000020170854,4.0442478e-7,0.000021042617,0.00074047555],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99744326,0.00052289455,0.00026833275,0.00082428375,0.00041322442,0.00052797835],"domain_scores_gemma":[0.9989747,0.00028282465,0.000104360275,0.00051576685,0.000014525119,0.000107818356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008371939,0.0001842766,0.00015645174,0.00023531454,0.00082674937,0.00015607922,0.00088934886,0.00002810289,0.000007695992],"category_scores_gemma":[0.001448427,0.00014623163,0.00005754641,0.0009338406,0.000546455,0.0004095039,0.00020754074,0.0002808163,0.0000041914823],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028483328,0.000052243355,0.004213211,0.000006993133,3.0016128e-7,0.00001703791,0.00020994231,0.016453627,0.9252775,0.041906014,0.005033412,0.006801289],"study_design_scores_gemma":[0.00026197656,0.00016342536,0.017572228,0.000059288173,0.000006859209,0.00008708914,0.00007837866,0.7863095,0.03499101,0.12843564,0.031436346,0.00059825176],"about_ca_topic_score_codex":0.0000130324615,"about_ca_topic_score_gemma":0.0000035149885,"teacher_disagreement_score":0.89028645,"about_ca_system_score_codex":0.00010080676,"about_ca_system_score_gemma":0.00003098376,"threshold_uncertainty_score":0.63587713},"labels":[],"label_agreement":null},{"id":"W2046073560","doi":"10.1167/10.7.109","title":"Response profiles of macaque dorsolateral prefrontal cortex neurons during a rule-guided target selection and sustained attention task","year":2010,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Macaque; Primate; Dorsolateral prefrontal cortex; Prefrontal cortex; Neuroscience; Psychology; Selection (genetic algorithm); Color discrimination; Audiology; Artificial intelligence; Color vision; Cognition; Computer science; Medicine","score_opus":0.00852385488138597,"score_gpt":0.26098412338502225,"score_spread":0.2524602685036363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046073560","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985036,0.000004423851,0.00016202117,0.0005002005,0.0006100374,0.0001704244,0.0000083021205,0.000015585527,0.000025409356],"genre_scores_gemma":[0.99902266,0.000016302332,0.0004890595,0.00004464684,0.00009848096,0.0000013663313,0.0000013226187,0.0000150630185,0.00031112417],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99869573,0.00019500763,0.0004465427,0.0001941364,0.00030138995,0.0001671675],"domain_scores_gemma":[0.99907655,0.000100820034,0.00049678015,0.000089982335,0.00014764469,0.00008820351],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037917055,0.00011769588,0.00018069844,0.00024847573,0.00015562148,0.000059308615,0.000099017845,0.00007980293,0.000025687148],"category_scores_gemma":[0.0004864649,0.00009298922,0.00008881444,0.00017776902,0.000052940184,0.0005035907,0.0000522246,0.00038546394,0.0000013320619],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021770527,0.000086941196,0.0034321179,0.000027374492,0.0000037583152,0.00003491937,0.00005863233,0.000037729566,0.9936477,0.000047830195,0.000049958187,0.00039596777],"study_design_scores_gemma":[0.0011869539,0.0011220418,0.7146281,0.00005851722,0.000017126971,0.001279117,0.000028772212,0.012289776,0.26878312,0.00036713667,0.00012895235,0.00011039989],"about_ca_topic_score_codex":0.0000056125764,"about_ca_topic_score_gemma":0.000004390246,"teacher_disagreement_score":0.7248646,"about_ca_system_score_codex":0.000038331036,"about_ca_system_score_gemma":0.000049753184,"threshold_uncertainty_score":0.37919903},"labels":[],"label_agreement":null},{"id":"W2046494699","doi":"10.3389/fpsyg.2012.00195","title":"Theta-Modulated Gamma-Band Synchronization Among Activated Regions During a Verb Generation Task","year":2012,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Canadian Institutes of Health Research; Hospital for Sick Children; Ontario Brain Institute","keywords":"Magnetoencephalography; Synchronization (alternating current); Covert; Task (project management); Neuroscience; Psychology; Phase synchronization; Computer science; Electroencephalography; Physics; Phase (matter); Linguistics","score_opus":0.025529071509382873,"score_gpt":0.27008070101317855,"score_spread":0.24455162950379566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046494699","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9654376,0.000079445796,0.027949443,0.00047082495,0.0046598515,0.00027736236,0.0000045838297,0.000089507994,0.0010314173],"genre_scores_gemma":[0.9984802,0.00013074688,0.00025190815,0.0004866691,0.0002444246,0.000030533403,0.00003117321,0.000027206712,0.00031714415],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985975,0.00019927467,0.00024633884,0.0004175373,0.00012950803,0.00040984605],"domain_scores_gemma":[0.99946046,0.000020080068,0.00012701111,0.00029190368,0.000021710275,0.00007882419],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014287328,0.00015259419,0.00017081783,0.00027078213,0.00016321652,0.00002815654,0.00014280144,0.00017673723,0.000032711803],"category_scores_gemma":[0.00011583782,0.00014781576,0.00004434804,0.0005722332,0.00011823323,0.0004438815,0.000021133408,0.00022967909,0.000017188491],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008248651,0.00014183563,0.04515743,0.000006494638,0.000008725123,0.000010083326,0.00022617781,0.00031058595,0.9448652,0.00014527867,0.0060708486,0.0029748504],"study_design_scores_gemma":[0.0047998466,0.00029487762,0.5122523,0.00006430512,0.00006116304,0.00022566188,0.000116250216,0.07971964,0.3891727,0.0056147166,0.0065790243,0.0010995513],"about_ca_topic_score_codex":0.000012424981,"about_ca_topic_score_gemma":0.000010356848,"teacher_disagreement_score":0.5556925,"about_ca_system_score_codex":0.00010145999,"about_ca_system_score_gemma":0.000009393572,"threshold_uncertainty_score":0.60277516},"labels":[],"label_agreement":null},{"id":"W2046543966","doi":"10.1163/187847611x620900","title":"Effective Tactile Noise Facilitates Visual Perception","year":2012,"lang":"en","type":"article","venue":"Seeing and Perceiving","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"SIGNAL (programming language); Facilitation; Perception; Noise (video); Excitatory postsynaptic potential; Sensation; Context (archaeology); Subthreshold conduction; Luminance; Multiplicative noise; Psychology; Energy (signal processing); Communication; Neuroscience; Computer science; Artificial intelligence; Physics; Analog signal; Signal transfer function; Inhibitory postsynaptic potential; Voltage; Telecommunications; Biology","score_opus":0.015171380829429251,"score_gpt":0.26826895668712286,"score_spread":0.2530975758576936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046543966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976588,0.000036322857,0.00038904918,0.00005824441,0.0004284617,0.00013293438,0.000004405706,0.00008990269,0.0012018888],"genre_scores_gemma":[0.99891263,0.00003328766,0.00005194841,0.00023942784,0.00020131523,0.0000118293,0.0000023417074,0.0000120719305,0.0005351212],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99918056,0.00011127501,0.00008870645,0.0002278918,0.000118882876,0.00027269623],"domain_scores_gemma":[0.999496,0.0003010709,0.000029035878,0.00007082227,0.000011665228,0.0000914013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018956004,0.000110138324,0.00009534774,0.000058907208,0.00030459373,0.00006629232,0.000038433962,0.000045689452,0.0000718121],"category_scores_gemma":[0.00021332526,0.000094998846,0.000037858383,0.0000945534,0.000049605616,0.00042926663,0.000041408264,0.00014007665,0.00008127263],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011793648,0.000027871945,0.010771411,0.000021055683,0.0000014452343,0.0000010012194,0.004311384,0.0000143976,0.9384357,0.000036880487,0.00002895192,0.04633815],"study_design_scores_gemma":[0.0002487561,0.00018481925,0.9563421,0.000056949022,0.000016314438,0.00007665101,0.0010667118,0.024841648,0.015204077,0.0001287933,0.0015176963,0.0003154608],"about_ca_topic_score_codex":0.00008448807,"about_ca_topic_score_gemma":0.000004392558,"teacher_disagreement_score":0.9455707,"about_ca_system_score_codex":0.0000354976,"about_ca_system_score_gemma":0.0000035798678,"threshold_uncertainty_score":0.38739404},"labels":[],"label_agreement":null},{"id":"W2046660951","doi":"10.1016/s1053-8119(02)00031-9","title":"A multivariate, spatiotemporal analysis of electromagnetic time-frequency data of recognition memory","year":2003,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":157,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital","funders":"Deutsche Forschungsgemeinschaft","keywords":"Magnetoencephalography; Electroencephalography; Pattern recognition (psychology); Psychology; Speech recognition; Brain activity and meditation; Wavelet; Multivariate statistics; Amplitude; Alpha (finance); Artificial intelligence; Computer science; Mathematics; Neuroscience; Cognitive psychology; Physics; Statistics; Developmental psychology","score_opus":0.06270644878710835,"score_gpt":0.2820244983152766,"score_spread":0.21931804952816825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046660951","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99152625,0.000012441832,0.00032380526,0.00005779128,0.00012662991,0.00020582102,0.00029570365,0.000036013884,0.0074155317],"genre_scores_gemma":[0.99827087,0.000017741586,0.0010636331,0.00014772397,0.000010653479,0.000003293939,0.0001275277,0.0000161633,0.0003423873],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983527,0.00032759065,0.00037312266,0.0005017476,0.00026507583,0.00017978207],"domain_scores_gemma":[0.99862045,0.00025076693,0.00028106407,0.0007360039,0.000067641544,0.000044076332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024495384,0.0001243296,0.00027561054,0.00031412297,0.000045134726,0.000016421656,0.0003079762,0.000044818687,0.0003792966],"category_scores_gemma":[0.001398238,0.000120063334,0.00009362497,0.0013246122,0.00009058833,0.00027401594,0.00006009469,0.00012404671,0.000024293404],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021592969,0.00013080383,0.00025494432,0.000016368407,0.00002002621,0.000010901562,0.000016363814,0.000021792403,0.99757814,0.00015158214,0.00008515788,0.0016923003],"study_design_scores_gemma":[0.0007934104,0.0007153504,0.02799528,0.00001643759,0.0006724595,0.000020615122,0.0000073711562,0.0786994,0.8892508,0.0014051461,0.00012331884,0.0003003648],"about_ca_topic_score_codex":0.000103887956,"about_ca_topic_score_gemma":0.000015409947,"teacher_disagreement_score":0.10832732,"about_ca_system_score_codex":0.00001095921,"about_ca_system_score_gemma":0.000042504686,"threshold_uncertainty_score":0.48960406},"labels":[],"label_agreement":null},{"id":"W2046720248","doi":"10.1523/jneurosci.1356-13.2013","title":"A Tweaking Principle for Executive Control: Neuronal Circuit Mechanism for Rule-Based Task Switching and Conflict Resolution","year":2013,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Office of Naval Research; John Simon Guggenheim Memorial Foundation","keywords":"Task switching; Action selection; Tweaking; Task (project management); Computer science; Neuroscience; Control reconfiguration; Mechanism (biology); Categorization; Cognition; Psychology; Artificial intelligence","score_opus":0.04815788120643774,"score_gpt":0.28064863363465486,"score_spread":0.23249075242821712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046720248","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6513227,0.0000073440924,0.34543157,0.0013982657,0.0010166565,0.0007493428,0.000025843703,0.000021021733,0.000027213853],"genre_scores_gemma":[0.99313366,0.0000112654825,0.0008254444,0.00573647,0.00015035835,0.0000469164,3.4748913e-7,0.00002161788,0.000073932075],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981479,0.00010236223,0.0004750805,0.000430857,0.0004353554,0.00040841915],"domain_scores_gemma":[0.9978725,0.0008770129,0.00064705126,0.00013896791,0.00028909417,0.00017542652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000521011,0.00017641901,0.0002586951,0.00019911223,0.000479446,0.00027868024,0.00032768404,0.00005303122,0.0000017801992],"category_scores_gemma":[0.0026858288,0.00014562518,0.00014907874,0.00020985874,0.000118827105,0.00072937197,0.000041374497,0.0002339301,8.711898e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012052042,0.00004612843,0.00005901251,0.000020896527,0.0000010942273,0.0000058601076,0.00003497422,0.00048417927,0.98614305,0.011997225,0.000043215674,0.0010438552],"study_design_scores_gemma":[0.004314267,0.0028085804,0.010305038,0.000096097756,0.000052524887,0.00043656782,0.00002852495,0.8300051,0.119908884,0.027057938,0.00460179,0.00038468855],"about_ca_topic_score_codex":0.000005292639,"about_ca_topic_score_gemma":8.6901804e-7,"teacher_disagreement_score":0.8662341,"about_ca_system_score_codex":0.000049432023,"about_ca_system_score_gemma":0.00011125836,"threshold_uncertainty_score":0.5938422},"labels":[],"label_agreement":null},{"id":"W2046728589","doi":"10.1523/jneurosci.5393-08.2009","title":"Septal Neurons in Barrel Cortex Derive Their Receptive Field Input from the Lemniscal Pathway","year":2009,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Receptive field; Neuroscience; Somatosensory system; Thalamus; Barrel (horology); Cortex (anatomy); Barrel cortex; Sensory system; Process (computing); Dorsum; Biology; Psychology; Anatomy; Computer science; Geography","score_opus":0.028500010390826842,"score_gpt":0.25529193849553145,"score_spread":0.2267919281047046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046728589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98723656,0.000027683061,0.0007427201,0.009315088,0.001908279,0.00014338331,0.00001813349,0.000016344167,0.00059183437],"genre_scores_gemma":[0.98023224,0.00011248792,0.000037264686,0.019324077,0.00018770875,0.0000011037356,2.439785e-7,0.0000086807595,0.000096184005],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99802315,0.000285015,0.00046162345,0.00038564243,0.0005065964,0.00033796215],"domain_scores_gemma":[0.9982759,0.0009294347,0.00035806012,0.00025302178,0.00005436591,0.00012926172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002994881,0.000180804,0.00022252725,0.00011190858,0.00023596134,0.0001598551,0.0008322006,0.00005839443,0.000018753864],"category_scores_gemma":[0.0018007716,0.00011023751,0.00018968713,0.0006474082,0.00019172598,0.00057773024,0.00009081867,0.0007757642,0.000006799303],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008795919,0.00010221444,0.00064889947,5.844357e-7,5.4104765e-7,0.00019081049,0.00031488412,0.0002059671,0.9859109,0.00030394006,0.00046561478,0.011767701],"study_design_scores_gemma":[0.0012777738,0.004204448,0.7493966,0.000119793345,0.000017238604,0.0010814304,0.00035426748,0.019620122,0.20559667,0.007777639,0.010063469,0.0004905485],"about_ca_topic_score_codex":0.0000125111865,"about_ca_topic_score_gemma":0.000019825897,"teacher_disagreement_score":0.7803142,"about_ca_system_score_codex":0.000037708585,"about_ca_system_score_gemma":0.00011210409,"threshold_uncertainty_score":0.44953552},"labels":[],"label_agreement":null},{"id":"W2046820020","doi":"10.1016/j.yebeh.2006.08.019","title":"Daily rhythms of seizure activity and behavior in a model of atypical absence epilepsy","year":2006,"lang":"en","type":"article","venue":"Epilepsy & Behavior","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Hospital for Sick Children","funders":"","keywords":"Rhythm; Circadian rhythm; Epilepsy; Neocortex; Endocrinology; Internal medicine; Electroencephalography; Ambulatory; Motor activity; Medicine; Biology; Neuroscience","score_opus":0.02733568247472971,"score_gpt":0.26604179579691356,"score_spread":0.23870611332218386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046820020","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99861366,0.00001858868,0.00027652862,0.00006903126,0.00018726326,0.0004901804,0.00013870807,0.000035630994,0.00017041955],"genre_scores_gemma":[0.99898,0.000026168636,0.00042284874,0.000044853598,0.000034593933,0.000102539336,0.000005700238,0.000025383368,0.00035793654],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99817353,0.000093169896,0.00045981637,0.0005484776,0.00035995973,0.00036505578],"domain_scores_gemma":[0.9991365,0.00013048692,0.00023842824,0.00035713468,0.000049357193,0.00008809854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015681724,0.00021748527,0.00038365522,0.00016862334,0.00006523745,0.000019989862,0.00018205437,0.00015877059,0.00003350019],"category_scores_gemma":[0.000082401035,0.00020718298,0.00010908948,0.0003467144,0.0002915568,0.00026382357,0.000110560555,0.00030385974,0.0000042413226],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013617586,0.0007573335,0.1850118,0.000019599269,5.7715664e-7,0.000043868375,0.00004097855,0.00028664517,0.80724293,0.0007772584,0.000031580083,0.0056512696],"study_design_scores_gemma":[0.00058071525,0.00020769142,0.85744053,0.000030339328,0.000041230986,0.00004000143,0.0000108029235,0.013707558,0.12752417,0.000209095,0.000011021179,0.00019685656],"about_ca_topic_score_codex":0.0004147047,"about_ca_topic_score_gemma":0.0002056515,"teacher_disagreement_score":0.67971873,"about_ca_system_score_codex":0.000047169608,"about_ca_system_score_gemma":0.000052866537,"threshold_uncertainty_score":0.8448677},"labels":[],"label_agreement":null},{"id":"W2046822461","doi":"10.1523/jneurosci.6317-09.2010","title":"Beneficial Effects of the NMDA Antagonist Ketamine on Decision Processes in Visual Search","year":2010,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Canadian Institutes of Health Research; Queen's University","keywords":"NMDA receptor; Neuroscience; Psychology; Stimulus (psychology); Saccadic masking; Sensory system; Perception; Ketamine; Eye movement; Visual perception; Cognitive psychology; Receptor; Medicine","score_opus":0.019579989506604185,"score_gpt":0.30259971590140566,"score_spread":0.2830197263948015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046822461","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962146,0.00000413147,0.00008347162,0.0003794881,0.0030950957,0.00014510992,0.0000021846895,0.000004453055,0.0000714324],"genre_scores_gemma":[0.9991631,0.000043380736,0.000028689265,0.00060761493,0.000104958985,9.311782e-7,2.6632913e-8,0.000008248621,0.00004303581],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99818176,0.000096272044,0.00036618588,0.00024272027,0.0008943991,0.00021867511],"domain_scores_gemma":[0.9984075,0.00093729264,0.00029988904,0.00017049353,0.00011255722,0.00007227372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003996368,0.000107939144,0.00016951398,0.00021218312,0.00016590301,0.000075401025,0.0006587487,0.00004272928,0.0000024995065],"category_scores_gemma":[0.005987046,0.00006405791,0.000073114,0.0011655695,0.00026772873,0.00027923263,0.00011037047,0.000595704,0.0000015192564],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011061079,0.0002396136,0.0025460105,0.000031189335,1.3978173e-7,0.00003570379,0.000035916637,0.0003943592,0.9922517,0.00016509042,0.000010172331,0.00417952],"study_design_scores_gemma":[0.00041603678,0.00088995794,0.16133165,0.00009128184,0.0000025167105,0.0001337651,0.000004817014,0.0027966923,0.83381176,0.0002184735,0.0002359103,0.00006715789],"about_ca_topic_score_codex":0.000004862483,"about_ca_topic_score_gemma":0.000023836532,"teacher_disagreement_score":0.15878564,"about_ca_system_score_codex":0.000018289906,"about_ca_system_score_gemma":0.00016961522,"threshold_uncertainty_score":0.71674854},"labels":[],"label_agreement":null},{"id":"W2046939402","doi":"10.1007/s11517-006-0034-4","title":"Factors affecting the stimulus artifact tail in surface-recorded somatosensory-evoked potentials","year":2006,"lang":"en","type":"article","venue":"Medical & Biological Engineering & Computing","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stimulus (psychology); Somatosensory evoked potential; Neuroscience; Somatosensory system; Human physiology; Electrophysiology; Artifact (error); Electroencephalography; Audiology; Psychology; Medicine; Cognitive psychology; Internal medicine","score_opus":0.03092347755925551,"score_gpt":0.24497812865935742,"score_spread":0.2140546511001019,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046939402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901759,0.000033299297,0.007814671,0.00036743606,0.00088294566,0.00023409039,0.000002575829,0.00029603313,0.00019307189],"genre_scores_gemma":[0.9993719,0.0000053102226,0.00013529493,0.00020277264,0.00021662319,0.0000017557782,0.0000068471372,0.000020087999,0.00003943023],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976702,0.00023968794,0.0004979914,0.0005285014,0.00041903328,0.0006445882],"domain_scores_gemma":[0.9970409,0.0025189756,0.00011022133,0.00018221272,0.00001698518,0.00013067397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074752927,0.00027792776,0.0003489625,0.000066673296,0.00021545627,0.00008023055,0.00036385766,0.00020847126,0.00012017686],"category_scores_gemma":[0.003161085,0.00016237688,0.0001350854,0.0004627214,0.00011637834,0.00005526547,0.00020450293,0.000685298,0.000035463032],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022018967,0.00019533664,0.055849504,0.000034037337,0.000008037243,0.00013835974,0.00008676613,0.34458235,0.59149647,0.0008855092,0.000073084535,0.006628519],"study_design_scores_gemma":[0.00037901147,0.00008913427,0.19870363,0.00007859074,0.000004326063,0.00002653604,0.00003322623,0.7847866,0.015222044,0.00016534138,0.00020973576,0.00030182884],"about_ca_topic_score_codex":0.00013320775,"about_ca_topic_score_gemma":0.000010803934,"teacher_disagreement_score":0.57627445,"about_ca_system_score_codex":0.000062668536,"about_ca_system_score_gemma":0.000019439773,"threshold_uncertainty_score":0.66215366},"labels":[],"label_agreement":null},{"id":"W2047089020","doi":"10.1007/s12021-009-9056-z","title":"Visualizing Dynamical Neural Assemblies with a Fuzzy Synchronization Clustering Analysis","year":2009,"lang":"en","type":"article","venue":"Neuroinformatics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"National Natural Science Foundation of China","keywords":"Computer science; Synchronization (alternating current); Cluster analysis; Artificial intelligence; Fuzzy logic; Fuzzy clustering; Data mining; Machine learning","score_opus":0.018822928096963627,"score_gpt":0.26496278818421687,"score_spread":0.24613986008725325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047089020","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9104248,0.0000031967884,0.083372675,0.0005650083,0.000179485,0.00023511959,0.000007641075,0.0002816443,0.0049303924],"genre_scores_gemma":[0.9967697,0.000012882328,0.0007347493,0.0023096886,0.00004021306,0.00000291111,0.000020171648,0.00001477169,0.0000948872],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985343,0.00005589347,0.0003859003,0.00024770922,0.0004384968,0.0003376727],"domain_scores_gemma":[0.9992327,0.00012797421,0.000198592,0.00029433158,0.000047322792,0.000099058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008698202,0.00020598022,0.00024084226,0.0003405973,0.00024368742,0.0002973405,0.00020457403,0.00005432454,0.000011003511],"category_scores_gemma":[0.00017669167,0.00016536216,0.00009754194,0.0014702774,0.00004739512,0.00082875014,0.000052281775,0.00021308391,0.000019584495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003859055,0.0003994904,0.0036288842,0.00022310871,0.00011374274,0.000205238,0.0022433696,0.7731291,0.13236858,0.015585686,0.0003571511,0.07135973],"study_design_scores_gemma":[0.00026211393,0.00036675765,0.0046491823,0.000011433674,0.00010382464,0.00009063505,0.000054379645,0.99299335,0.0010452818,0.00013484656,0.000085481435,0.0002027134],"about_ca_topic_score_codex":0.0000034131704,"about_ca_topic_score_gemma":0.000018273427,"teacher_disagreement_score":0.21986423,"about_ca_system_score_codex":0.00005098877,"about_ca_system_score_gemma":0.000020393958,"threshold_uncertainty_score":0.6743273},"labels":[],"label_agreement":null},{"id":"W2047267428","doi":"10.3389/fncir.2014.00022","title":"Attractor dynamics in local neuronal networks","year":2014,"lang":"en","type":"article","venue":"Frontiers in Neural Circuits","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Attractor; Neuroscience; Biological neural network; Stimulus (psychology); Relay; Synchronization (alternating current); Computer science; Network dynamics; Mechanism (biology); Nerve net; Artificial neural network; Population; Biology; Artificial intelligence; Psychology; Physics; Mathematics; Telecommunications; Channel (broadcasting)","score_opus":0.015399690636910013,"score_gpt":0.21982836466875103,"score_spread":0.204428674031841,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047267428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9167504,0.000050489194,0.072904535,0.0006148201,0.0061849123,0.00036371755,0.000012561136,0.000111689114,0.0030069295],"genre_scores_gemma":[0.9975521,0.000025710342,0.000038967202,0.0019284886,0.00015847085,0.000018163668,0.000013410915,0.000038483886,0.0002262258],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99769586,0.00029457326,0.0004002609,0.0006773157,0.0003081719,0.00062382646],"domain_scores_gemma":[0.99924976,0.0002185162,0.00010540359,0.0002849773,0.000016223257,0.00012513701],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023808866,0.00024824037,0.00031451273,0.00028211361,0.000083529,0.00006814696,0.0003861401,0.00015331217,0.000014642123],"category_scores_gemma":[0.00031230567,0.00025008485,0.00008493434,0.0006858908,0.00016386855,0.00031751784,0.00007348336,0.0006885638,0.000011572336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015406501,0.00035092328,0.28598973,0.000055134366,0.0000047224785,0.000235949,0.000086400774,0.13506673,0.0078766225,0.009684754,0.0035181616,0.5569768],"study_design_scores_gemma":[0.0006209878,0.00011226699,0.07164291,0.000017635775,0.0000030211434,0.000023303019,0.000023358483,0.9253003,0.0002222371,0.0011447037,0.0006355844,0.00025366686],"about_ca_topic_score_codex":0.00003143662,"about_ca_topic_score_gemma":0.00019298092,"teacher_disagreement_score":0.7902336,"about_ca_system_score_codex":0.00030342428,"about_ca_system_score_gemma":0.000019287381,"threshold_uncertainty_score":0.9999951},"labels":[],"label_agreement":null},{"id":"W2047365900","doi":"10.1016/s0306-4522(01)00019-7","title":"Artificial electrotonic coupling affects neuronal firing patterns depending upon cellular characteristics","year":2001,"lang":"en","type":"article","venue":"Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Toronto Western Hospital; University Health Network","funders":"","keywords":"Bursting; Coupling (piping); Neuroscience; Gap junction; Hippocampal formation; Neuron; Electrophysiology; Electrical Synapses; Pyramidal cell; Soma; Biophysics; Chemistry; Physics; Biology; Materials science; Intracellular","score_opus":0.035198746891824145,"score_gpt":0.25666526036831794,"score_spread":0.2214665134764938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047365900","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9892352,0.0000054198777,0.0073298975,0.00027918047,0.002360746,0.00033453893,0.000011984348,0.00021383526,0.00022918698],"genre_scores_gemma":[0.9980153,0.000079707075,0.000014223783,0.0013747804,0.0002726958,0.000021612175,0.0000034415011,0.000039636878,0.00017860747],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997122,0.0000795896,0.00030646476,0.0010021911,0.00065124384,0.0008385492],"domain_scores_gemma":[0.9989975,0.00024225637,0.00018952985,0.00035896813,0.000024778074,0.00018694166],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026428315,0.0002717544,0.00021036722,0.00017734815,0.00068325165,0.00034939338,0.00054354034,0.000068264264,0.00004626179],"category_scores_gemma":[0.00066135294,0.00027047936,0.000095257165,0.0007042126,0.000100044206,0.00047203727,0.00016882662,0.00045845483,0.0000571246],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030494924,0.000060344926,0.009057308,0.000011425721,2.6022153e-7,0.00022917567,0.00001224646,0.0008181761,0.9851577,0.00086355687,0.000006403926,0.003752893],"study_design_scores_gemma":[0.00012900951,0.00030721677,0.03702001,0.00002887197,0.00000866536,0.00019011655,0.0000032434325,0.36374718,0.5964422,0.00021858464,0.0015405338,0.00036432923],"about_ca_topic_score_codex":0.0000054648535,"about_ca_topic_score_gemma":0.000008388583,"teacher_disagreement_score":0.38871548,"about_ca_system_score_codex":0.00007013819,"about_ca_system_score_gemma":0.000050969396,"threshold_uncertainty_score":0.9999747},"labels":[],"label_agreement":null},{"id":"W2047494050","doi":"10.1016/j.brainresrev.2007.02.009","title":"From the Golgi–Cajal mapping to the transmitter-based characterization of the neuronal networks leading to two modes of brain communication: Wiring and volume transmission","year":2007,"lang":"en","type":"review","venue":"Brain Research Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":248,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Marcus och Amalia Wallenbergs minnesfond; Vetenskapsrådet; Knut och Alice Wallenbergs Stiftelse; European Commission","keywords":"Neuroscience; Serotonergic; Monoamine neurotransmitter; Neurotransmission; Biology; Locus coeruleus; Raphe nuclei; Serotonin; Receptor; Central nervous system","score_opus":0.27450190128945695,"score_gpt":0.422689729188147,"score_spread":0.14818782789869006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047494050","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004046865,0.8957617,0.04888707,0.04015105,0.00027999948,0.010453975,0.00017902513,0.00003240085,0.00020788723],"genre_scores_gemma":[0.004098598,0.99031144,0.00026262164,0.003917666,0.0002969767,0.0003121075,0.00006301039,0.00006931049,0.0006682905],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99084234,0.00594366,0.001192988,0.00066332193,0.0008574374,0.0005002778],"domain_scores_gemma":[0.9923039,0.0056042606,0.00048362277,0.0013454757,0.00011483059,0.00014790897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006824911,0.00036061238,0.001036155,0.00021243212,0.00065820216,0.00016027794,0.001965814,0.00013678287,0.00003408359],"category_scores_gemma":[0.0017269547,0.0001800175,0.00043508696,0.0021075984,0.000354668,0.00012441057,0.00035767525,0.0012221333,0.000013743183],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022686954,0.000029597917,0.000009634323,0.0017112353,0.000008070584,7.9305636e-7,0.00028748563,0.00014385676,0.018977327,0.00023561917,0.001363784,0.9772099],"study_design_scores_gemma":[0.00012600633,0.000068282854,0.00024157591,0.013964832,0.000035966867,0.0000047986864,0.00001302946,0.008020261,0.00019762364,0.00002879152,0.9771243,0.0001745787],"about_ca_topic_score_codex":0.00007139289,"about_ca_topic_score_gemma":0.000035165445,"teacher_disagreement_score":0.97703534,"about_ca_system_score_codex":0.00006293134,"about_ca_system_score_gemma":0.00013773434,"threshold_uncertainty_score":0.73409003},"labels":[],"label_agreement":null},{"id":"W2047643622","doi":"10.1523/jneurosci.2421-13.2014","title":"A Spiking Neural Integrator Model of the Adaptive Control of Action by the Medial Prefrontal Cortex","year":2014,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Prefrontal cortex; Integrator; Neuroscience; Computer science; Artificial neural network; Spiking neural network; Stimulus (psychology); Task (project management); Action (physics); Psychology; Artificial intelligence; Cognitive psychology; Cognition; Physics","score_opus":0.039555292862980575,"score_gpt":0.25659360388496677,"score_spread":0.2170383110219862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047643622","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98222816,0.000008025304,0.015114103,0.00069428066,0.0016831717,0.00015195922,0.000016159083,0.00000534535,0.00009876887],"genre_scores_gemma":[0.9988653,0.000014263538,0.000018993913,0.00093403284,0.00007895713,0.0000015389438,4.3202196e-8,0.000008026672,0.000078824945],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981349,0.0003047057,0.00045099144,0.00018955614,0.0007401294,0.0001796856],"domain_scores_gemma":[0.9982575,0.00036420248,0.0010047832,0.00018084308,0.00013012101,0.00006250997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004696433,0.00011752894,0.00021189521,0.000060349637,0.00018583439,0.000034619996,0.0006999047,0.0000357608,0.0000017230334],"category_scores_gemma":[0.001539044,0.000058817295,0.00016752224,0.00031819902,0.00050531345,0.00036669383,0.00007139375,0.00043624704,2.3461077e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013991054,0.00004959964,0.00022889057,0.0000033682024,7.58802e-7,7.7661497e-7,0.000073006326,0.006179598,0.9914913,0.0004689771,0.00006374736,0.0013000588],"study_design_scores_gemma":[0.00046072394,0.00075826666,0.0067334,0.000021837162,0.000020162695,0.000103075545,0.00004053792,0.7722727,0.21898757,0.00042585016,0.00011450947,0.00006135461],"about_ca_topic_score_codex":0.000007200726,"about_ca_topic_score_gemma":0.0000059790477,"teacher_disagreement_score":0.77250373,"about_ca_system_score_codex":0.000030040399,"about_ca_system_score_gemma":0.00007839733,"threshold_uncertainty_score":0.23984997},"labels":[],"label_agreement":null},{"id":"W2047692473","doi":"10.1523/jneurosci.5446-11.2012","title":"Inhibitory Networks of Fast-Spiking Interneurons Generate Slow Population Activities due to Excitatory Fluctuations and Network Multistability","year":2012,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"University of Toronto; Government of Ontario; Compute Canada","keywords":"Excitatory postsynaptic potential; Multistability; Inhibitory postsynaptic potential; Neuroscience; Population; Computer science; Communication; Physics; Biology; Psychology; Medicine","score_opus":0.029448029504816557,"score_gpt":0.2680852191096885,"score_spread":0.23863718960487196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047692473","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97900635,0.000051614028,0.017373614,0.00013624337,0.0032349976,0.00014282273,0.0000053161402,0.000013883575,0.00003516938],"genre_scores_gemma":[0.9983587,0.000036223235,0.00041749974,0.0007008722,0.0004249235,0.0000027340677,2.6225007e-7,0.0000135703995,0.000045189074],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9982802,0.0002526415,0.00048578082,0.00024742444,0.00039494754,0.00033897356],"domain_scores_gemma":[0.99872726,0.00034647348,0.00047801808,0.00016495385,0.00007028225,0.00021299608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060823216,0.00014505984,0.00024412207,0.00016738777,0.00023842501,0.000076889504,0.00021341475,0.000042369542,0.0000032480923],"category_scores_gemma":[0.00085872365,0.00012340225,0.000077037315,0.0004726383,0.0001876625,0.0010469136,0.00013048884,0.0002787291,4.943177e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046741454,0.00007831641,0.013083302,0.000012244252,9.509226e-7,0.000009498078,0.00024309255,0.02385623,0.95728,0.00039940825,0.000080155056,0.004910096],"study_design_scores_gemma":[0.00025751194,0.0004385804,0.9013643,0.00007169244,0.000019006227,0.00040209538,0.00006651295,0.078230105,0.018281756,0.00022728072,0.00041876303,0.0002223738],"about_ca_topic_score_codex":0.000008100719,"about_ca_topic_score_gemma":0.000006873613,"teacher_disagreement_score":0.9389982,"about_ca_system_score_codex":0.000051057963,"about_ca_system_score_gemma":0.00002949116,"threshold_uncertainty_score":0.5032198},"labels":[],"label_agreement":null},{"id":"W2047697191","doi":"10.1016/j.neuroimage.2009.10.012","title":"Reconstruction of correlated brain activity with adaptive spatial filters in MEG","year":2009,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":89,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Hospital for Sick Children","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Magnetoencephalography; Brain activity and meditation; Beamforming; Noise (video); Computer science; Spatial filter; Adaptive beamformer; Pattern recognition (psychology); Neuroscience; Artificial intelligence; Electroencephalography; Psychology; Speech recognition","score_opus":0.02116597990005034,"score_gpt":0.23359567597557007,"score_spread":0.21242969607551973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047697191","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944109,8.572245e-7,0.0014003202,0.0008369582,0.00020370519,0.00020837094,0.000011353675,0.00004506842,0.0028824757],"genre_scores_gemma":[0.9992116,0.0000041307935,0.00007934969,0.00054144405,0.000017953884,0.0000023035195,0.0000011377895,0.000009289226,0.00013277034],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990173,0.00014518494,0.0001475014,0.0003462667,0.00017359284,0.00017013839],"domain_scores_gemma":[0.9994844,0.00016190596,0.00012997392,0.00016421614,0.000021661026,0.00003780715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007240798,0.00011602379,0.00014918298,0.00012390417,0.00004365504,0.000017132095,0.00009068578,0.000044728724,0.000021260548],"category_scores_gemma":[0.00019015254,0.00010071511,0.000034807566,0.00036196868,0.00009300536,0.0002740502,0.00001529927,0.00024420212,0.0000053036956],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005036591,0.00008029997,0.0005851468,0.000002890965,8.131413e-7,0.000053202355,0.000039140745,0.0003245144,0.93851095,0.00020681706,0.000047031852,0.05964553],"study_design_scores_gemma":[0.0019531425,0.0028283012,0.34958118,0.00007004311,0.000011943917,0.00026817175,0.000033580858,0.10048801,0.54373276,0.00062984054,0.00007439048,0.00032862395],"about_ca_topic_score_codex":0.00009230107,"about_ca_topic_score_gemma":0.000064580905,"teacher_disagreement_score":0.3947782,"about_ca_system_score_codex":0.000028291597,"about_ca_system_score_gemma":0.000023304843,"threshold_uncertainty_score":0.41070428},"labels":[],"label_agreement":null},{"id":"W2047698765","doi":"10.1117/12.488882","title":"Nonrenewal spike trains generated by stochastic neuron models","year":2003,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Spike (software development); Uncorrelated; Spike train; Point process; Statistical physics; Stochastic process; Spectral density; Interval (graph theory); Sequence (biology); Train; Computer science; Mathematics; Statistics; Physics; Combinatorics","score_opus":0.02000036074718654,"score_gpt":0.22644872668217836,"score_spread":0.20644836593499183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047698765","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941403,0.000037546466,0.0005366642,0.0012127383,0.0004751892,0.00054895255,0.000099626086,0.000104860745,0.002844066],"genre_scores_gemma":[0.98763007,0.00006125403,0.01075901,0.00042915373,0.00021815357,0.0001170873,0.00000979025,0.00008622953,0.00068926776],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975128,3.7920948e-8,0.0006245161,0.00059733994,0.00076711527,0.00049818103],"domain_scores_gemma":[0.998546,0.0001832672,0.00033388173,0.000064194595,0.00071002415,0.00016263203],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00041546306,0.00036621973,0.00036964982,0.000096077274,0.00014143462,0.000155257,0.00075467373,0.00017938664,0.000017174038],"category_scores_gemma":[0.0010229195,0.00030942404,0.00049945345,0.00044305358,0.00022443244,0.0006470285,0.000092509166,0.00035805072,0.000002025643],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043491716,0.00010392005,0.00000709134,0.00007331708,0.000042194984,9.092928e-8,0.00005196728,0.002129112,0.6449999,0.35041606,0.0020387496,0.00009404365],"study_design_scores_gemma":[0.0013302576,0.0005072384,0.00004746774,0.00010587078,0.000103325176,0.000044308807,0.00026426482,0.42269245,0.5663001,0.0059022647,0.0021897205,0.00051275885],"about_ca_topic_score_codex":0.0000065571185,"about_ca_topic_score_gemma":1.3147262e-7,"teacher_disagreement_score":0.42056334,"about_ca_system_score_codex":0.00012607768,"about_ca_system_score_gemma":0.0000374006,"threshold_uncertainty_score":0.9999358},"labels":[],"label_agreement":null},{"id":"W2047741757","doi":"10.1097/00001756-200508010-00001","title":"Increased gamma-band synchrony precedes switching of conscious perceptual objects in binocular rivalry","year":2005,"lang":"en","type":"article","venue":"Neuroreport","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":112,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Percept; Binocular rivalry; Perception; Consciousness; Psychology; Visual perception; Electroencephalography; Neuroscience; Cognitive psychology; Phase locking; Audiology; Communication; Phase (matter); Physics; Medicine","score_opus":0.0202467006920382,"score_gpt":0.25299506915388054,"score_spread":0.23274836846184233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047741757","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99350125,0.000020966198,0.000037362657,0.0001775034,0.0003177455,0.00031205508,0.000005118872,0.00008812281,0.0055398783],"genre_scores_gemma":[0.99883777,0.000030603205,0.00010625108,0.0007342191,0.00009919661,0.000013487015,0.0000033172494,0.00003009895,0.00014506032],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977168,0.00014569338,0.0008122076,0.00058104127,0.0004166294,0.0003276278],"domain_scores_gemma":[0.99873036,0.00022482534,0.00051985244,0.0003878067,0.00003471135,0.00010241481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035593615,0.00020044376,0.0003149838,0.00021342012,0.00008943903,0.000039798426,0.00019571537,0.00008212471,0.00007297226],"category_scores_gemma":[0.0016157655,0.00018472159,0.00011135845,0.00034664004,0.000093094306,0.00026872513,0.00006583486,0.00028631306,0.000018559347],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052994612,0.00014024526,0.025169736,0.00002652514,0.0000024502122,0.0003225389,0.00021046569,0.00039125216,0.9699764,0.00010767877,0.00008338749,0.0035162924],"study_design_scores_gemma":[0.0011444686,0.00033147677,0.15139915,0.00007331117,0.00002399261,0.0009256597,0.00006732638,0.009824707,0.8342538,0.00032657955,0.001230084,0.00039943296],"about_ca_topic_score_codex":0.00017635644,"about_ca_topic_score_gemma":0.00015506793,"teacher_disagreement_score":0.13572262,"about_ca_system_score_codex":0.000056871697,"about_ca_system_score_gemma":0.00011455699,"threshold_uncertainty_score":0.7532728},"labels":[],"label_agreement":null},{"id":"W2048005993","doi":"10.1371/journal.pcbi.1002065","title":"Extracting Message Inter-Departure Time Distributions from the Human Electroencephalogram","year":2011,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital; Baycrest Hospital; University of Toronto","funders":"Canadian Institutes of Health Research; Santa Fe Institute","keywords":"Computer science; Node (physics); Statistic; Process (computing); Sensory system; Electroencephalography; Neuroscience; Artificial intelligence; Physics; Psychology; Statistics; Mathematics","score_opus":0.05273238662675224,"score_gpt":0.2739630477753222,"score_spread":0.22123066114856998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048005993","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9804851,0.000019847519,0.015910767,0.0011400677,0.00019401869,0.00017462685,0.00023128746,0.00013194092,0.0017123375],"genre_scores_gemma":[0.99798346,0.0000023049936,0.00053211924,0.0008760331,0.00011939559,0.000018254575,0.00038439373,0.000008178204,0.00007586671],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990228,0.00019744478,0.0001778704,0.0003123339,0.00008387811,0.00020567872],"domain_scores_gemma":[0.99887186,0.0008219558,0.0001055725,0.00012083273,0.000042157513,0.000037631064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006912957,0.00010813163,0.00010493003,0.000026971658,0.00035967882,0.000029550056,0.0002458288,0.0000617742,0.0003687976],"category_scores_gemma":[0.00023421101,0.00007470316,0.000057984158,0.00014118441,0.00016706578,0.000082676175,0.000070459246,0.00022807003,0.000116132134],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027890197,0.00024739516,0.0051132645,0.0000017476575,0.000032397213,0.000011926585,0.00021995833,0.00008062211,0.9223459,0.0684728,0.0009304178,0.0025156948],"study_design_scores_gemma":[0.00096900435,0.0009600097,0.13580088,0.000043291093,0.00010706081,0.00012922258,0.00007422561,0.13246983,0.061286602,0.66004044,0.007339278,0.0007801707],"about_ca_topic_score_codex":0.000033662578,"about_ca_topic_score_gemma":0.000010129428,"teacher_disagreement_score":0.8610593,"about_ca_system_score_codex":0.000026635807,"about_ca_system_score_gemma":0.000016473647,"threshold_uncertainty_score":0.40380752},"labels":[],"label_agreement":null},{"id":"W2048081099","doi":"10.1371/journal.pone.0043104","title":"The Effects of Rhythmic Sensory Cues on the Temporal Dynamics of Human Gait","year":2012,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":96,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Holland Bloorview Kids Rehabilitation Hospital; University of British Columbia; University of Toronto","funders":"National Institute on Aging; Natural Sciences and Engineering Research Council of Canada","keywords":"Rhythm; STRIDE; Sensory cue; Gait; Physical medicine and rehabilitation; Sensory system; Psychology; Dynamics (music); Communication; Medicine; Neuroscience","score_opus":0.04794893836687227,"score_gpt":0.24280126096698018,"score_spread":0.1948523226001079,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048081099","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976384,0.00002436003,0.000004369372,0.00071106054,0.0001482524,0.0002950826,0.000010135151,0.000020389138,0.0011479513],"genre_scores_gemma":[0.9984391,0.000036662794,0.000009656113,0.0002438483,0.00007480472,0.000012529278,0.0000018675248,0.000012741388,0.001168819],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990968,0.00015040202,0.0001577388,0.0001126214,0.0003033096,0.00017909548],"domain_scores_gemma":[0.9984716,0.0010346643,0.00014517904,0.00029208776,0.000027334005,0.000029107227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019242046,0.00008394852,0.0001257621,0.000028996506,0.00017424877,0.000012086812,0.00015422728,0.000031830725,0.000008404625],"category_scores_gemma":[0.0005191237,0.000045857658,0.000050612034,0.000110754816,0.00016119766,0.00006064495,0.000047729238,0.00013951122,0.0000133880085],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002387844,0.00041106864,0.0020904813,0.000083353334,0.000012868739,9.593197e-7,0.000076712065,0.0000013654176,0.97413313,0.022859117,0.000059446367,0.00024758934],"study_design_scores_gemma":[0.00015522291,0.00041824716,0.006370431,0.00011590072,0.0000328782,0.0000018617615,0.00002813569,0.0029527068,0.9882538,0.0015505046,0.00003715406,0.000083203035],"about_ca_topic_score_codex":0.000011674376,"about_ca_topic_score_gemma":0.000014599105,"teacher_disagreement_score":0.021308614,"about_ca_system_score_codex":0.000021614764,"about_ca_system_score_gemma":0.0000059999347,"threshold_uncertainty_score":0.18700211},"labels":[],"label_agreement":null},{"id":"W2048464191","doi":"10.1109/tbme.2011.2176938","title":"Localization of Synchronous Cortical Neural Sources","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; École de Technologie Supérieure; Université du Québec à Montréal","funders":"Centre de Recherches Mathématiques","keywords":"Computer science; Artificial intelligence; Synchronization (alternating current); Pattern recognition (psychology); Wavelet; Noise (video); Electroencephalography; Inverse problem; Neurophysiology; Computer vision; Mathematics; Neuroscience","score_opus":0.020270133756061074,"score_gpt":0.21315331376721638,"score_spread":0.19288318001115531,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048464191","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2199269,0.000004074256,0.77897155,0.00003190526,0.00078262616,0.00007664515,0.000010676529,0.00011971045,0.000075894655],"genre_scores_gemma":[0.99955,0.000017086373,0.00023550965,0.00010671395,0.000031597796,0.000009717076,0.0000010108241,0.000017680242,0.00003070633],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990856,0.000025347666,0.00023369484,0.00021393146,0.00024683433,0.00019457968],"domain_scores_gemma":[0.99957603,0.00012113202,0.00003550154,0.00012884256,0.0000155489,0.0001229433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006084764,0.00011391347,0.00012803709,0.00016397562,0.00007319044,0.000008330768,0.000111706664,0.000080673075,0.00015080898],"category_scores_gemma":[0.000038386723,0.00010085708,0.00007200159,0.0003548981,0.00012078769,0.00008546478,0.0000012802528,0.0002128037,0.000017276698],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014911631,0.0008440863,0.000024039826,0.00010915147,0.000024826115,0.000047513455,0.0004895442,0.13015662,0.8226526,0.00083648803,0.000028845065,0.04463719],"study_design_scores_gemma":[0.00025162712,0.00026953974,0.00009506438,0.000021119864,0.0000135072105,0.000026386142,0.0000101074675,0.69038856,0.30857548,0.000016659316,0.00022618158,0.00010576076],"about_ca_topic_score_codex":0.000014826386,"about_ca_topic_score_gemma":8.007106e-7,"teacher_disagreement_score":0.7796231,"about_ca_system_score_codex":0.00002452931,"about_ca_system_score_gemma":0.000012355336,"threshold_uncertainty_score":0.41128322},"labels":[],"label_agreement":null},{"id":"W2048524988","doi":"10.1038/nn.3248","title":"A supramodal accumulation-to-bound signal that determines perceptual decisions in humans","year":2012,"lang":"en","type":"article","venue":"Nature Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":813,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Perception; Sensory system; Stimulus (psychology); Stimulus modality; Neuroscience; Psychology; Decision process; Computer science; Cognitive psychology; Psychophysics","score_opus":0.09004742470786985,"score_gpt":0.351110406380749,"score_spread":0.2610629816728791,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048524988","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951364,0.000018370782,0.000727621,0.00080300396,0.00235327,0.00034589708,0.00001991538,0.000081230806,0.00051428104],"genre_scores_gemma":[0.99107087,0.000013404815,0.0001401616,0.008126468,0.00020468753,0.000021014746,0.0000019195131,0.000022065142,0.0003994306],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9973951,0.00014205973,0.00024149084,0.00073092064,0.00077468733,0.0007157416],"domain_scores_gemma":[0.99857354,0.00068582426,0.000076984965,0.00034652228,0.00003582826,0.00028129484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031559166,0.0002294416,0.00017574469,0.00036268696,0.00040612888,0.00021190004,0.0006246392,0.00018379466,0.000055263194],"category_scores_gemma":[0.002165091,0.00019390776,0.00007716881,0.0012570828,0.00019248326,0.0011169042,0.00021655136,0.0007082532,0.00006713373],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003139935,0.00012917208,0.029043885,0.0000019356955,1.3779217e-7,0.000018754989,0.00025894193,0.00038636592,0.9655839,0.0019748681,0.00021436467,0.0023562459],"study_design_scores_gemma":[0.00054555445,0.0002851108,0.8893811,0.00003910678,0.000007533545,0.00013189501,0.000075771044,0.016762929,0.0752831,0.00093634834,0.01591433,0.0006372088],"about_ca_topic_score_codex":0.00000885437,"about_ca_topic_score_gemma":0.000057949463,"teacher_disagreement_score":0.8903008,"about_ca_system_score_codex":0.000067236375,"about_ca_system_score_gemma":0.000045539127,"threshold_uncertainty_score":0.7907329},"labels":[],"label_agreement":null},{"id":"W2048618958","doi":"10.1016/s0001-6918(02)00081-1","title":"On spatial response code activation in a Simon task","year":2003,"lang":"en","type":"article","venue":"Acta Psychologica","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Simon effect; Stimulus onset asynchrony; Stimulus (psychology); Code (set theory); Response time; Asynchrony (computer programming); Task (project management); Computer science; Stimulus–response compatibility; Stimulus–response model; Psychology; Communication; Cognitive psychology; Perception; Neuroscience; Cognition; Programming language; Asynchronous communication","score_opus":0.04555081697759419,"score_gpt":0.30505295907240815,"score_spread":0.259502142094814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048618958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98845273,6.8760033e-7,0.00029064974,0.0020586862,0.0003649762,0.00020196583,0.0000049764926,0.00005711725,0.008568191],"genre_scores_gemma":[0.99461263,0.000007378118,0.000031645337,0.00493899,0.000018033985,0.000019288962,0.0000017043163,0.000009977459,0.00036035985],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998589,0.00045616378,0.00015258053,0.00042916182,0.00016397049,0.00020911917],"domain_scores_gemma":[0.99900615,0.0006197034,0.00007392728,0.00025114787,0.000009357376,0.000039717008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031802082,0.00011149604,0.00009588048,0.00011484842,0.00007921545,0.000030685344,0.00012991144,0.00009182331,0.00014455848],"category_scores_gemma":[0.0022638766,0.000089306755,0.00003314552,0.00030717484,0.000039734266,0.00009818546,0.000011945795,0.00021862256,0.00008296048],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014703076,0.00022635497,0.00040657102,9.996347e-7,5.762336e-7,0.000015730788,0.000035147135,0.000041235846,0.9920983,0.0023140975,0.0017026509,0.0016880309],"study_design_scores_gemma":[0.0042024367,0.0043510385,0.42209476,0.000068311325,0.000006402583,0.000031895317,0.0000660675,0.002033435,0.4345843,0.034219913,0.09747043,0.000871027],"about_ca_topic_score_codex":0.000008294417,"about_ca_topic_score_gemma":0.0000118053185,"teacher_disagreement_score":0.557514,"about_ca_system_score_codex":0.000046280456,"about_ca_system_score_gemma":0.000010884086,"threshold_uncertainty_score":0.36418238},"labels":[],"label_agreement":null},{"id":"W2048886813","doi":"10.1203/pdr.0b013e31815586a1","title":"Frequency Domain Analyses of Neonatal Flash VEP","year":2007,"lang":"en","type":"article","venue":"Pediatric Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Columbia College","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Neurological Disorders and Stroke","keywords":"Stimulus (psychology); Frequency domain; Electroencephalography; Visual evoked potentials; Audiology; Phase locking; Nonlinear system; Evoked potential; Flash (photography); Neuroscience; Physics; Medicine; Phase (matter); Psychology; Optics; Mathematics; Mathematical analysis","score_opus":0.1586964069001144,"score_gpt":0.4329397840292003,"score_spread":0.27424337712908586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048886813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98536426,0.00016276677,0.0009848031,0.0001598462,0.00022934414,0.0001747145,0.000013172887,0.000028987448,0.012882119],"genre_scores_gemma":[0.9978022,0.0002585793,0.0007609957,0.00003803747,0.00043193097,0.0000050331437,0.0000030946164,0.000013203701,0.0006869234],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975603,0.00020885693,0.00029391513,0.00035835354,0.0010652451,0.00051330816],"domain_scores_gemma":[0.9980708,0.001289645,0.00006971298,0.00028768746,0.00015364296,0.00012851221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018925704,0.000087428365,0.00013110065,0.00063483906,0.00017187696,0.00003611701,0.0003629668,0.00006705312,0.00016130404],"category_scores_gemma":[0.0014419302,0.0000730631,0.00007593287,0.0021123844,0.0001521858,0.00014454126,0.00013715477,0.00037928298,0.0001706589],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006763386,0.0001036247,0.026244871,0.00006118918,0.0000033718445,0.00015220646,0.00012517883,0.000011545597,0.95387787,0.0089813685,0.0018199317,0.008551188],"study_design_scores_gemma":[0.001949814,0.0013389563,0.13291526,0.000017586828,0.00004596281,0.000104720966,0.00048239087,0.0013323437,0.73126507,0.12449278,0.0052818195,0.0007733164],"about_ca_topic_score_codex":0.00012819217,"about_ca_topic_score_gemma":0.00002508555,"teacher_disagreement_score":0.22261284,"about_ca_system_score_codex":0.00004170565,"about_ca_system_score_gemma":0.00008321045,"threshold_uncertainty_score":0.29794267},"labels":[],"label_agreement":null},{"id":"W2048986771","doi":"10.1523/jneurosci.4253-14.2015","title":"Local Population Synchrony and the Encoding of Eye Position in the Primate Neural Integrator","year":2015,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Macaque; Tonic (physiology); Neuroscience; Primate; Eye movement; Electrophysiology; Nucleus; Population; Biology","score_opus":0.03521765599239789,"score_gpt":0.2918338475920641,"score_spread":0.2566161915996662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048986771","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953836,0.000026909382,0.0012654924,0.0025381772,0.0005661607,0.000118860895,0.0000011014831,0.0000039865954,0.00009567155],"genre_scores_gemma":[0.9987485,0.000037367114,0.00001846749,0.0011443552,0.000036520563,0.0000011721181,1.0702123e-7,0.0000037657003,0.0000097889515],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985004,0.00040202378,0.00034294126,0.00013386995,0.000491926,0.0001288073],"domain_scores_gemma":[0.99916595,0.00027073815,0.00035865288,0.00009590084,0.000061446124,0.000047308182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011436007,0.00007659586,0.00013680676,0.00010407073,0.000107104286,0.000087974084,0.00030956464,0.00002131735,4.63617e-7],"category_scores_gemma":[0.001199377,0.00003733293,0.00004673094,0.00043506233,0.0003523592,0.00048148766,0.00004692141,0.0002814765,2.8705284e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045773387,0.00010530057,0.006845304,0.000017599255,6.5799134e-7,0.00008441017,0.0011469685,0.006368379,0.9700143,0.00948694,0.00005696243,0.0054154927],"study_design_scores_gemma":[0.003299892,0.00200476,0.24493924,0.00013303553,0.000036226043,0.0026204174,0.0011081613,0.699237,0.03753425,0.008550138,0.0002861381,0.0002507263],"about_ca_topic_score_codex":0.000020930565,"about_ca_topic_score_gemma":0.0000046444384,"teacher_disagreement_score":0.93248,"about_ca_system_score_codex":0.000036311347,"about_ca_system_score_gemma":0.00003287666,"threshold_uncertainty_score":0.15223928},"labels":[],"label_agreement":null},{"id":"W2049372174","doi":"10.1155/2011/758973","title":"MEG/EEG Source Reconstruction, Statistical Evaluation, and Visualization with NUTMEG","year":2011,"lang":"en","type":"article","venue":"Computational Intelligence and Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":125,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Center for Research Resources; National Institute of Neurological Disorders and Stroke; National Institute on Deafness and Other Communication Disorders; University of California, San Francisco; University of Nottingham; European Commission; National Science Foundation; National Institutes of Health; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Computer science; Toolbox; Visualization; Artificial intelligence; MATLAB; Graphical user interface; Pattern recognition (psychology); Electroencephalography; Nutmeg; Machine learning; Human–computer interaction; Neuroscience","score_opus":0.09424586174507826,"score_gpt":0.3178700628391371,"score_spread":0.22362420109405884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049372174","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3989506,0.000024224362,0.5997947,0.00008850211,0.00025683732,0.00026620622,0.0000093952995,0.00005929614,0.0005502474],"genre_scores_gemma":[0.99712795,0.00007106395,0.0017054622,0.00097425986,0.0000181816,0.000017362288,0.000004054373,0.000011217608,0.00007041829],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983615,0.00013205443,0.00023203493,0.00062337134,0.00045764475,0.00019334673],"domain_scores_gemma":[0.9992178,0.0002681822,0.000109704844,0.00010184814,0.00017722258,0.0001252061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002365017,0.00014403286,0.00010856154,0.00012411336,0.00039859023,0.00012172874,0.00012211085,0.000033816337,0.000059746693],"category_scores_gemma":[0.00049191935,0.00011942272,0.000012333481,0.0004457507,0.0007249776,0.00047029767,0.00005762976,0.000101883066,0.000008079382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034436214,0.00040008387,0.02430613,0.0000764389,0.0000075131857,0.000042351447,0.0025282076,0.06217367,0.046962425,0.5114047,0.0001487758,0.35160536],"study_design_scores_gemma":[0.00016638194,0.00048202506,0.04559358,0.000027689013,0.000019435292,0.0006845336,0.0001319658,0.88797593,0.013896422,0.050571293,0.00018676618,0.00026400498],"about_ca_topic_score_codex":0.000013284552,"about_ca_topic_score_gemma":0.0000043908626,"teacher_disagreement_score":0.8258022,"about_ca_system_score_codex":0.00001750457,"about_ca_system_score_gemma":0.000057983827,"threshold_uncertainty_score":0.48699173},"labels":[],"label_agreement":null},{"id":"W2049460386","doi":"10.1186/1471-2202-15-s1-p66","title":"Auditory object feature maps with a hierarchical network of independent components?","year":2014,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Planum temporale; Auditory cortex; Computational auditory scene analysis; Computer science; Receptive field; Inferior colliculus; Natural sounds; Representation (politics); Perception; Object (grammar); Artificial intelligence; Feature (linguistics); Auditory system; Speech recognition; Pattern recognition (psychology); Psychology; Neuroscience; Nucleus; Linguistics","score_opus":0.023693270305322315,"score_gpt":0.23167892921506755,"score_spread":0.20798565890974524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049460386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9834926,0.0000061723376,0.010912292,0.00039825443,0.0024741278,0.00034282738,0.0000152386065,0.00011544839,0.0022430029],"genre_scores_gemma":[0.9968668,0.0000069151615,0.0005299738,0.0014629951,0.00027814184,0.000012217414,0.0000017291059,0.000019831708,0.0008213579],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99749684,0.00030386494,0.00020824827,0.0007408296,0.00079081825,0.00045941205],"domain_scores_gemma":[0.9987675,0.0003982153,0.00019274982,0.0004450367,0.00004050991,0.00015597009],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003206627,0.00019688015,0.00022532513,0.0000715823,0.0002786723,0.000075422984,0.0005743245,0.000065256325,0.000007019252],"category_scores_gemma":[0.00055770006,0.0001468312,0.000072739924,0.0006995157,0.0005050689,0.00021421249,0.00017835101,0.00037042014,0.000012597575],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001765351,0.000121700556,0.0074928175,0.00003411282,5.87818e-7,0.000018098692,0.000024902685,0.0061255735,0.97480196,0.009214453,0.0012587802,0.00073050644],"study_design_scores_gemma":[0.0024531763,0.0031211218,0.6615257,0.00020956757,0.000036677164,0.00060937996,0.000017145388,0.18025383,0.094682075,0.005854623,0.05005321,0.0011834583],"about_ca_topic_score_codex":0.000007191025,"about_ca_topic_score_gemma":0.000017522452,"teacher_disagreement_score":0.88011986,"about_ca_system_score_codex":0.000025537249,"about_ca_system_score_gemma":0.00007454659,"threshold_uncertainty_score":0.59876025},"labels":[],"label_agreement":null},{"id":"W2049502009","doi":"10.1177/1073858409333076","title":"Remapping the Somatosensory Cortex after Stroke: Insight from Imaging the Synapse to Network","year":2009,"lang":"en","type":"review","venue":"The Neuroscientist","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Somatosensory system; Neuroscience; Sensory system; Forelimb; Stroke (engine); Calcium imaging; Neocortex; Cortex (anatomy); Sensory cortex; Barrel cortex; Psychology; Biology; Medicine; Physics","score_opus":0.03487756973344001,"score_gpt":0.28074228089596615,"score_spread":0.24586471116252614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049502009","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00218373,0.9696357,0.00028643047,0.004349607,0.01643124,0.004031445,0.00057737867,0.00032358244,0.0021808553],"genre_scores_gemma":[0.004882655,0.9616453,0.000014809516,0.02354295,0.0016670596,0.00022661303,0.000023104314,0.00014378765,0.0078537185],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99474883,0.0014743552,0.0007267228,0.0013365754,0.0008436478,0.00086989265],"domain_scores_gemma":[0.99542946,0.0018895431,0.0005194168,0.0019743901,0.00003897052,0.00014824298],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006491715,0.0006599139,0.0008174839,0.0001165938,0.0018372207,0.0011780654,0.0023435382,0.000106066545,0.00004105627],"category_scores_gemma":[0.00051181496,0.00029384723,0.0005848217,0.0014181446,0.00056504685,0.00017306657,0.00077856274,0.001197583,0.00036553128],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000070412294,0.00013842821,0.000016355936,0.0004678597,0.000040031653,0.00073501625,0.00031548456,0.00020225099,0.013134616,0.002427696,0.031472415,0.9509794],"study_design_scores_gemma":[0.00007243202,0.000030166619,0.00031619106,0.0009646501,0.00024373921,0.00027409743,0.0000070123097,0.00066714315,0.000029122244,0.0002725576,0.9967624,0.00036048482],"about_ca_topic_score_codex":0.000021806572,"about_ca_topic_score_gemma":0.000024182502,"teacher_disagreement_score":0.96529,"about_ca_system_score_codex":0.000084800515,"about_ca_system_score_gemma":0.00009737567,"threshold_uncertainty_score":0.99995136},"labels":[],"label_agreement":null},{"id":"W2049570813","doi":"10.1016/j.tins.2007.04.004","title":"The topographic brain: from neural connectivity to cognition","year":2007,"lang":"en","type":"article","venue":"Trends in Neurosciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":170,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université de Montréal","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Conceptualization; Cognition; Cognitive science; Perspective (graphical); Neuroscience; Analogy; Function (biology); Psychology; Computer science; Biology; Artificial intelligence; Evolutionary biology; Epistemology","score_opus":0.04410901393426477,"score_gpt":0.30711477766599427,"score_spread":0.2630057637317295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049570813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9869101,0.00001019344,0.00018706331,0.006279208,0.0031387971,0.00012984202,0.000017004832,0.00008650849,0.0032412582],"genre_scores_gemma":[0.994192,0.000011342321,0.000015883232,0.005055097,0.00010257608,0.000011734989,0.0000016350629,0.000009318027,0.000600421],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99792963,0.00017383961,0.0002636812,0.0006635435,0.00045792942,0.0005113951],"domain_scores_gemma":[0.99744827,0.0020653564,0.00008436704,0.0002546474,0.000018585568,0.00012880002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006661169,0.00015563393,0.0001234484,0.0003558276,0.0005675512,0.0002248518,0.0004769481,0.000041915922,0.000024167704],"category_scores_gemma":[0.0011925654,0.00010776851,0.0000686913,0.0024765383,0.00035906595,0.00030175573,0.00010431495,0.00023390717,0.0000140259335],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012939866,0.00011095432,0.006975282,0.0000011584459,6.6078485e-7,0.000065396,0.00013803605,0.00014763589,0.8205509,0.0035465388,0.00047063583,0.16786335],"study_design_scores_gemma":[0.00063109753,0.0007456894,0.85226166,0.000015674626,0.000007228804,0.00003947545,0.0001668087,0.014046643,0.11430327,0.00747622,0.0098291,0.0004771213],"about_ca_topic_score_codex":0.00012393337,"about_ca_topic_score_gemma":0.0019488866,"teacher_disagreement_score":0.84528637,"about_ca_system_score_codex":0.000020216878,"about_ca_system_score_gemma":0.000010605313,"threshold_uncertainty_score":0.43946722},"labels":[],"label_agreement":null},{"id":"W2049595386","doi":"10.1155/2013/176183","title":"Physiology and Plasticity of Interhemispheric Connections","year":2013,"lang":"en","type":"editorial","venue":"Neural Plasticity","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Neuroscience; Corpus callosum; Psychology; Anatomy; Set (abstract data type); Biology; Cognitive science; Computer science","score_opus":0.015475478467907092,"score_gpt":0.2425931788716742,"score_spread":0.2271177004037671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049595386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5473174,0.0000086015,0.00015383675,0.000035400728,0.45152566,0.0002461267,0.00034831782,0.00008611113,0.00027855448],"genre_scores_gemma":[0.86377674,0.000060718667,0.000026908556,0.00009544514,0.13534921,0.000032163283,0.000032708773,0.000043288223,0.0005828321],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978764,0.0001430135,0.00043790828,0.0007772562,0.00040305723,0.00036235375],"domain_scores_gemma":[0.9935968,0.0055652815,0.0003914241,0.00016336942,0.00015160393,0.00013152082],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00004211678,0.00037776708,0.0005880333,0.00009113496,0.00016388735,0.000058518366,0.00028315675,0.000515019,0.00024076378],"category_scores_gemma":[0.006146649,0.00032266843,0.000109473665,0.00020712752,0.0004311328,0.00017369588,0.00025723924,0.0009794838,0.00003770225],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011721601,0.00007326729,0.000007327846,0.0001865101,0.00001046943,0.000004922561,0.000014373415,0.00018421389,0.61610526,0.00014267006,0.38291553,0.00023827351],"study_design_scores_gemma":[0.0042706393,0.004786895,0.0045898748,0.0005576343,0.00056557683,0.00014949417,0.000058883008,0.2641674,0.39095953,0.0037570493,0.3228693,0.0032677185],"about_ca_topic_score_codex":0.00012590467,"about_ca_topic_score_gemma":0.000022388733,"teacher_disagreement_score":0.31645933,"about_ca_system_score_codex":0.000045314962,"about_ca_system_score_gemma":0.00006157946,"threshold_uncertainty_score":0.9999225},"labels":[],"label_agreement":null},{"id":"W2049727045","doi":"10.1016/j.neuroimage.2007.02.052","title":"Single-trial EEG dynamics of object and face visual processing","year":2007,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":121,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Electroencephalography; Stimulus (psychology); Coherence (philosophical gambling strategy); Amplitude; Psychology; Computer science; Event-related potential; Speech recognition; Artificial intelligence; Audiology; Pattern recognition (psychology); Communication; Neuroscience; Cognitive psychology; Physics; Mathematics; Optics; Statistics; Medicine","score_opus":0.029873225287237678,"score_gpt":0.2905214403351162,"score_spread":0.2606482150478785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049727045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99309087,0.000013614295,0.0031940027,0.000152105,0.00043326995,0.00025521897,0.000007686676,0.00007112211,0.002782101],"genre_scores_gemma":[0.99920976,0.0000065561594,0.00009475646,0.00034001036,0.00006349975,0.0000014740195,0.0000020647963,0.000022372842,0.0002594901],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988065,0.00005063158,0.00025192316,0.00037823734,0.00025884112,0.00025389576],"domain_scores_gemma":[0.9994554,0.00017339682,0.0001425728,0.00012943785,0.000031495365,0.00006769497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019736355,0.00013096727,0.00015003732,0.000104785904,0.00011507957,0.00006994304,0.000111105815,0.00005297769,0.000005539927],"category_scores_gemma":[0.00043081102,0.000121768346,0.000042770396,0.0002952856,0.00015061638,0.00022174505,0.00007790272,0.00017154343,0.000003848107],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011647682,0.00013236103,0.00017684221,0.000035326637,6.36074e-7,0.000039465118,0.0000515574,0.000007453165,0.95360583,0.00035510247,0.000010940457,0.04441974],"study_design_scores_gemma":[0.017185062,0.004471154,0.019151049,0.00009431537,0.000048727205,0.00027741355,0.00023958924,0.14283925,0.81238973,0.0013011871,0.0011931695,0.000809333],"about_ca_topic_score_codex":0.000007698261,"about_ca_topic_score_gemma":0.00002083828,"teacher_disagreement_score":0.1428318,"about_ca_system_score_codex":0.000025453435,"about_ca_system_score_gemma":0.000019823123,"threshold_uncertainty_score":0.4965569},"labels":[],"label_agreement":null},{"id":"W2050061595","doi":"10.1016/j.neuroimage.2014.08.009","title":"Extent of cortical generators visible on the scalp: Effect of a subdural grid","year":2014,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"Agencia Nacional de Promoción Científica y Tecnológica; Canadian Institutes of Health Research; Universidad Nacional de La Plata","keywords":"Scalp; Attenuation; Grid; Physics; Optics; Anatomy; Mathematics; Medicine; Geometry","score_opus":0.017290348897389052,"score_gpt":0.24902033997725764,"score_spread":0.23172999107986858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050061595","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99704254,0.000002455869,0.00010826351,0.00044292517,0.00058499066,0.00021275549,0.000011278367,0.000026716738,0.0015680521],"genre_scores_gemma":[0.99891776,0.0000054986635,0.000009285115,0.0008834784,0.000082629835,0.0000075414737,9.1587975e-7,0.0000152437515,0.00007763359],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99850225,0.00049635704,0.00021948334,0.0002805823,0.00031940595,0.00018190098],"domain_scores_gemma":[0.99828017,0.0011818276,0.00010632805,0.00035900355,0.000022657241,0.00005003321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031404005,0.0001228148,0.00018634877,0.000051857984,0.00008679908,0.000021366093,0.00021380035,0.000029840317,0.00004124748],"category_scores_gemma":[0.001293587,0.000071264905,0.00011064768,0.00021198072,0.00017376809,0.000053530766,0.000063575884,0.00019187368,0.000028572036],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001045158,0.000051124836,0.00083650474,0.000022344355,0.0000011536065,0.0000050967665,0.000007583784,0.000060627168,0.99109554,0.0057016523,0.00050868926,0.0016051475],"study_design_scores_gemma":[0.0002986279,0.0014898826,0.017634774,0.000013164779,0.000011221218,0.000009843028,0.0000010130324,0.017077075,0.9628936,0.00014518214,0.00035485413,0.00007078708],"about_ca_topic_score_codex":0.0000066007606,"about_ca_topic_score_gemma":9.989685e-7,"teacher_disagreement_score":0.028201984,"about_ca_system_score_codex":0.0000074554146,"about_ca_system_score_gemma":0.0000075791077,"threshold_uncertainty_score":0.29060987},"labels":[],"label_agreement":null},{"id":"W2050375359","doi":"10.1523/jneurosci.2339-11.2011","title":"Properties of Slow Oscillation during Slow-Wave Sleep and Anesthesia in Cats","year":2011,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":233,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Institute of Neurological Disorders and Stroke; Agence Nationale de la Recherche; Canadian Institutes of Health Research; University of Connecticut","keywords":"Ketamine; Anesthesia; Slow-wave sleep; Oscillation (cell signaling); Xylazine; Sleep (system call); Delta wave; Sleep spindle; Electroencephalography; Local field potential; Somatosensory system; Neuroscience; Medicine; Chemistry; Psychology","score_opus":0.06960587737428343,"score_gpt":0.22712484851755607,"score_spread":0.15751897114327262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050375359","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992838,0.00002143241,0.000031597945,0.00018459802,0.00027904354,0.00008882523,4.2449966e-7,0.000006494551,0.0001037836],"genre_scores_gemma":[0.99955195,0.00008075197,0.00007617575,0.00018418676,0.000023948152,7.9840163e-7,1.2559947e-8,0.000007342524,0.0000748358],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998782,0.00008921861,0.00038503387,0.00021338805,0.00035291797,0.000177478],"domain_scores_gemma":[0.9993573,0.000034113353,0.00036238428,0.000112466805,0.00006178696,0.000071968745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026244286,0.00009593562,0.00016686485,0.00025014,0.00008511218,0.00003335379,0.00017713694,0.00003084135,0.0000020108264],"category_scores_gemma":[0.00045505803,0.0000716692,0.000041134204,0.00040993662,0.00021383111,0.00062428106,0.000042918848,0.00016432378,5.835133e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080824386,0.000052324187,0.008331548,0.00002052823,2.1214491e-7,0.0001803522,0.00037362127,0.0000771358,0.99035764,0.000115489114,0.0000015107694,0.00040882488],"study_design_scores_gemma":[0.00029222498,0.0003248675,0.51364756,0.00006516113,0.000003954167,0.00216189,0.000028229888,0.005935193,0.47723976,0.0001876286,0.000024028937,0.0000895394],"about_ca_topic_score_codex":0.000013030512,"about_ca_topic_score_gemma":0.0000038675157,"teacher_disagreement_score":0.5131179,"about_ca_system_score_codex":0.00002209918,"about_ca_system_score_gemma":0.000032099448,"threshold_uncertainty_score":0.29225853},"labels":[],"label_agreement":null},{"id":"W2050423153","doi":"10.1167/9.8.464","title":"Electrophysiological evidence for biased competition in V1 favoring motivationally significant stimuli","year":2010,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Psychology; Stimulus (psychology); Electrophysiology; Cognitive psychology; Neural correlates of consciousness; Event-related potential; Electroencephalography; Neuroscience; Communication; Cognition","score_opus":0.08039831798063388,"score_gpt":0.3418907151214839,"score_spread":0.26149239714085004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050423153","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929287,0.000005246452,0.0050805546,0.0013214927,0.0004967429,0.00014038038,0.000002307616,0.0000074935538,0.000017119693],"genre_scores_gemma":[0.9983157,0.00003639646,0.0011444404,0.00026692808,0.00020635467,0.000002497819,0.0000011638624,0.0000060340376,0.000020509555],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99908864,0.000066565044,0.00029416138,0.00015482721,0.00026026508,0.00013553897],"domain_scores_gemma":[0.9983968,0.0011143311,0.0002521938,0.000071594885,0.00011595609,0.00004912728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004055124,0.00007364254,0.00013393092,0.00013658733,0.00007515462,0.000042467895,0.00014716914,0.00005082084,0.000022552282],"category_scores_gemma":[0.0024400898,0.000052916625,0.00008040606,0.000180984,0.00003442527,0.00032903493,0.000018513003,0.00032585714,0.00000335973],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036309505,0.00009187929,0.0002744816,0.0000076220767,6.7887004e-7,0.00000949295,0.00000697323,0.0008658927,0.99401224,0.0022367067,0.000053663793,0.0020772568],"study_design_scores_gemma":[0.0018838658,0.0057704896,0.36116442,0.0004409209,0.000013608581,0.000090147376,0.000015765921,0.090923555,0.52323693,0.015396591,0.0007891667,0.00027450896],"about_ca_topic_score_codex":0.0000015872073,"about_ca_topic_score_gemma":0.0000023559114,"teacher_disagreement_score":0.4707753,"about_ca_system_score_codex":0.000039247374,"about_ca_system_score_gemma":0.000044862612,"threshold_uncertainty_score":0.29211918},"labels":[],"label_agreement":null},{"id":"W2050679095","doi":"10.1016/s0893-6080(99)00103-3","title":"An efficient neural network approach to dynamic robot motion planning","year":2000,"lang":"en","type":"review","venue":"Neural Networks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":250,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; University of Guelph","keywords":"Artificial neural network; Workspace; Computer science; Robot; Motion planning; Lyapunov stability; Artificial intelligence; Motion (physics); Stability (learning theory); Mobile robot; Collision; Machine learning; Control (management)","score_opus":0.05089570748661848,"score_gpt":0.30973765445384627,"score_spread":0.2588419469672278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050679095","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010185712,0.9638935,0.021244552,0.00006137704,0.00657225,0.0039681746,0.00005565237,0.0010176052,0.0021683285],"genre_scores_gemma":[0.040156756,0.9513748,0.0004898643,0.0023001013,0.0032304188,0.0004647859,0.0008429928,0.00050095527,0.0006392907],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9935232,0.0009939611,0.0010884756,0.0021892965,0.0006581227,0.0015469401],"domain_scores_gemma":[0.9974131,0.00038362033,0.0004924956,0.0011193794,0.000027172779,0.0005642243],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00036229295,0.0011513655,0.001755228,0.00032399606,0.00066572096,0.00048316328,0.0012008877,0.00067353726,0.00004147202],"category_scores_gemma":[0.000058119487,0.0009612142,0.0006856741,0.0018689926,0.00010889262,0.00024293107,0.00021339016,0.0018175115,0.000074633],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022801132,0.0000807111,8.4420293e-7,0.00021820112,0.000005643406,0.000028308432,0.0000099400995,0.54614663,0.000003226523,0.00003312988,0.0002222564,0.45322827],"study_design_scores_gemma":[0.00014570628,0.00024318557,0.000015544114,0.00091217,0.00017400281,0.0002896488,0.0000024113656,0.8894048,2.619614e-7,0.000014286253,0.10795668,0.0008413594],"about_ca_topic_score_codex":0.000009802875,"about_ca_topic_score_gemma":0.0000027727115,"teacher_disagreement_score":0.45238692,"about_ca_system_score_codex":0.0002215199,"about_ca_system_score_gemma":0.000038339578,"threshold_uncertainty_score":0.99928385},"labels":[],"label_agreement":null},{"id":"W2050766460","doi":"10.1371/journal.pone.0014371","title":"Stochastic Resonance Modulates Neural Synchronization within and between Cortical Sources","year":2010,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":112,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Auditory cortex; Neuroscience; Synchronization (alternating current); Functional magnetic resonance imaging; Noise (video); Physics; Electroencephalography; Superior temporal gyrus; Posterior cingulate; Psychology; Computer science; Mathematics; Artificial intelligence; Topology (electrical circuits)","score_opus":0.03547635693332178,"score_gpt":0.22541086887007458,"score_spread":0.18993451193675281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050766460","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985503,0.000015993806,0.00059523317,0.0004464745,0.000100773,0.00016143716,0.000010825094,0.000081838305,0.00003715551],"genre_scores_gemma":[0.9992112,0.00000398639,0.00023981258,0.00017980846,0.00016216302,0.0000071647464,0.0000042550637,0.000015440937,0.00017620009],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912727,0.00003957757,0.00014570881,0.0002911171,0.00023335642,0.000162952],"domain_scores_gemma":[0.99945307,0.0002464967,0.0000579972,0.0001361371,0.000028280088,0.00007803546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007862082,0.00009340681,0.00012509817,0.000039567763,0.0001750654,0.000070483664,0.00008799677,0.000056841767,0.000019124951],"category_scores_gemma":[0.0008108495,0.00008261063,0.0000133856265,0.00013193183,0.0001421222,0.00015069132,0.000051508945,0.00029094063,0.000014776205],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016984048,0.0001255302,0.014215473,0.000020950316,0.000004391356,0.0000029410437,0.000087484834,0.00015191232,0.98246,0.0014088026,0.0000037920008,0.0015017019],"study_design_scores_gemma":[0.0003102887,0.00020873237,0.07551382,0.0000445484,0.00005415597,0.000009588544,0.000007864647,0.79688376,0.12487705,0.0018730126,0.00000655541,0.00021064444],"about_ca_topic_score_codex":0.0000067379824,"about_ca_topic_score_gemma":0.000010583793,"teacher_disagreement_score":0.857583,"about_ca_system_score_codex":0.000007156921,"about_ca_system_score_gemma":0.000009104593,"threshold_uncertainty_score":0.3368764},"labels":[],"label_agreement":null},{"id":"W2050953173","doi":"10.1038/npre.2007.61.1","title":"Reading the Neural Code: What do Spikes Mean for Behavior?","year":2007,"lang":"en","type":"preprint","venue":"Nature Precedings","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"London Health Sciences Centre; Western University","funders":"","keywords":"Spike (software development); Computer science; Code (set theory); Spike train; Neural coding; Artificial intelligence; Reading (process); Pattern recognition (psychology)","score_opus":0.03313688703325868,"score_gpt":0.32138897084040896,"score_spread":0.2882520838071503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050953173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9548341,0.0014735376,0.0010028727,0.0063975262,0.02897504,0.004127213,0.00024181866,0.0005552486,0.0023926194],"genre_scores_gemma":[0.992666,0.0007560409,0.00034704708,0.0036018833,0.0012048545,0.0002590605,0.00005381888,0.000092212154,0.0010190505],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9971295,0.0000735397,0.00040344795,0.0011762514,0.00062361336,0.00059363834],"domain_scores_gemma":[0.9978343,0.00085105817,0.000401607,0.00061606214,0.00017678684,0.000120145145],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00076530664,0.0004699739,0.00035796725,0.0001930795,0.00045175932,0.0011821513,0.0010537059,0.001115851,0.000026352103],"category_scores_gemma":[0.0008857395,0.00033212896,0.0003514142,0.00028260137,0.00015311707,0.00047068176,0.0006945276,0.0033856903,0.000010126972],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006584272,0.00024720983,0.001145416,0.00057905115,0.000039343533,0.00007290726,0.0026947153,0.00066866673,0.7511166,0.034567274,0.018193971,0.19001643],"study_design_scores_gemma":[0.0021149039,0.0005940289,0.0026350156,0.0020308243,0.0009050645,0.0005805984,0.0012392771,0.047012,0.7347078,0.041607358,0.16283594,0.003737209],"about_ca_topic_score_codex":0.000010423567,"about_ca_topic_score_gemma":0.000017367804,"teacher_disagreement_score":0.18627922,"about_ca_system_score_codex":0.00014402282,"about_ca_system_score_gemma":0.000039565643,"threshold_uncertainty_score":0.9999131},"labels":[],"label_agreement":null},{"id":"W2051106146","doi":"10.1016/j.neuron.2009.08.034","title":"Metaplasticity Governs Natural Experience-Driven Plasticity of Nascent Embryonic Brain Circuits","year":2009,"lang":"en","type":"article","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia; Canadian Institutes of Health Research; National Science Council; Michael Smith Health Research BC","keywords":"Metaplasticity; Neuroscience; Long-term potentiation; NMDA receptor; Neuroplasticity; Spike-timing-dependent plasticity; Biological neural network; Long-term depression; Sensory system; Biology; Psychology; Receptor; AMPA receptor","score_opus":0.02454152706128497,"score_gpt":0.26056864345620645,"score_spread":0.23602711639492147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051106146","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99672604,0.0000074071536,0.00032310962,0.0007002928,0.0009956203,0.00021198644,0.000024973277,0.00009410004,0.0009164799],"genre_scores_gemma":[0.99732745,0.000014411981,0.000017321892,0.0021118205,0.00007981604,0.000004522987,0.000002235345,0.000014149731,0.00042825495],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981888,0.0001172797,0.00027525757,0.0005376251,0.0005118271,0.0003692316],"domain_scores_gemma":[0.99900275,0.00044148706,0.00018209478,0.00022820651,0.000038957594,0.00010646999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000036571713,0.00020639609,0.00024960915,0.000077893375,0.00013099845,0.000042156244,0.0003227213,0.000061273575,0.00004859061],"category_scores_gemma":[0.0012100594,0.00018227487,0.00012375279,0.00032705924,0.0001073112,0.00024511685,0.00006363892,0.00029949905,0.000027503414],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047440146,0.00013736372,0.00020310881,0.000009881388,0.0000017815,0.000022857506,0.0001108559,0.00045596753,0.99288523,0.0024342039,0.00031421692,0.0033771137],"study_design_scores_gemma":[0.0009934996,0.0011500212,0.1196999,0.00003924053,0.00002621037,0.00007107467,0.000028253404,0.04884973,0.82529646,0.00035676023,0.0030736548,0.0004151851],"about_ca_topic_score_codex":0.000010780857,"about_ca_topic_score_gemma":0.000011630594,"teacher_disagreement_score":0.16758874,"about_ca_system_score_codex":0.000058667752,"about_ca_system_score_gemma":0.00003582807,"threshold_uncertainty_score":0.7432954},"labels":[],"label_agreement":null},{"id":"W2051133816","doi":"10.1007/s00221-004-1894-1","title":"Contextual modulation of synchronization to random dots in the cat visual cortex","year":2004,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Receptive field; Stimulus (psychology); Neuroscience; Percept; Visual cortex; Coherence (philosophical gambling strategy); Surround suppression; Physics; Population; Synchronization (alternating current); Psychology; Communication; Visual perception; Mathematics; Topology (electrical circuits); Perception; Medicine; Cognitive psychology","score_opus":0.06527014960846184,"score_gpt":0.4018547646125512,"score_spread":0.33658461500408937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051133816","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99524367,0.000019282317,0.0008043419,0.0020711508,0.00012565427,0.000886973,0.0000049553096,0.000014992493,0.00082898943],"genre_scores_gemma":[0.99892884,0.0000035337225,0.000033182503,0.0007310573,0.000056811572,0.00007851931,0.000010239946,0.000012452643,0.00014534786],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99791974,0.00045728197,0.00022803502,0.0003230216,0.0007848458,0.00028706688],"domain_scores_gemma":[0.9990725,0.0006003348,0.000037262296,0.00018047573,0.00005331148,0.00005611268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086726085,0.000090238536,0.00011541799,0.0002208372,0.00017631717,0.00006459541,0.00025148678,0.000044689605,0.00005349684],"category_scores_gemma":[0.0007547344,0.00006836237,0.000036112357,0.00081992004,0.00015836206,0.0001662975,0.000095025716,0.00015306157,0.000049608283],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026271117,0.00025891312,0.00007444281,0.0000047105746,9.8492e-7,0.000011494108,0.0021859056,0.0012869998,0.98984456,0.004656459,0.00017837987,0.0012344159],"study_design_scores_gemma":[0.0034133776,0.0011394293,0.010356662,0.000041768173,7.5787773e-7,0.000018415803,0.0024648795,0.02112971,0.96021175,0.00087437313,0.00020436624,0.00014450318],"about_ca_topic_score_codex":0.00027721905,"about_ca_topic_score_gemma":0.000052557298,"teacher_disagreement_score":0.029632825,"about_ca_system_score_codex":0.00021512485,"about_ca_system_score_gemma":0.000061525585,"threshold_uncertainty_score":0.27877367},"labels":[],"label_agreement":null},{"id":"W2051475677","doi":"10.1007/s00221-006-0427-5","title":"Generalized cortex activation by the auditory midbrain: mediation by acetylcholine and subcortical relays","year":2006,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Neuroscience; Acetylcholine; Midbrain; Auditory cortex; Psychology; Medicine; Central nervous system; Internal medicine","score_opus":0.04182080550515529,"score_gpt":0.3494238420919347,"score_spread":0.30760303658677945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051475677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98477983,0.0003565549,0.00012254478,0.012234146,0.0002843048,0.00066088955,0.000030512547,0.00005994208,0.001471246],"genre_scores_gemma":[0.99215925,0.00006652143,0.000022839444,0.0015190997,0.00039686894,0.00017082276,0.00011049737,0.000029080742,0.0055250204],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9972228,0.0006246679,0.00025513204,0.0005429732,0.00090520765,0.00044921707],"domain_scores_gemma":[0.99836195,0.0011659309,0.00006581801,0.00025180524,0.000047295645,0.00010718619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071842695,0.00015489486,0.0001249453,0.00008767832,0.0006344424,0.00018104707,0.00023003916,0.000105496256,0.00013938105],"category_scores_gemma":[0.00056627375,0.000116610354,0.0000419978,0.000378309,0.00048169174,0.000287125,0.00015525543,0.00042756757,0.000037540613],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007328235,0.00011458842,0.000056495956,0.0000024828782,0.0000015997997,0.00000192873,0.000060546736,0.000002100496,0.71917963,0.0026111298,0.2775105,0.00038575096],"study_design_scores_gemma":[0.0009287611,0.00021639538,0.0017534555,0.0000053248523,0.0000013312239,0.000013121786,0.00017305424,0.00795809,0.94306153,0.00044844724,0.045277044,0.0001634619],"about_ca_topic_score_codex":0.00020378863,"about_ca_topic_score_gemma":0.0000047820286,"teacher_disagreement_score":0.23223345,"about_ca_system_score_codex":0.00015352709,"about_ca_system_score_gemma":0.000034575725,"threshold_uncertainty_score":0.4879682},"labels":[],"label_agreement":null},{"id":"W2051864531","doi":"10.1111/j.1755-3768.2010.4327.x","title":"How do we recognize objects? An intracranial study","year":2010,"lang":"en","type":"article","venue":"Acta Ophthalmologica","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Hôpital Notre-Dame; Université de Montréal","funders":"","keywords":"Stimulus (psychology); Neuroscience; Electroencephalography; Scalp; Visual cortex; Visual system; Psychology; Visual perception; Audiology; Cognitive psychology; Medicine; Perception; Anatomy","score_opus":0.04916896242065992,"score_gpt":0.2898477103729567,"score_spread":0.24067874795229677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051864531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99165297,0.0000041959447,0.0000034912555,0.0019130071,0.0019463005,0.0005231156,0.000013545148,0.000160401,0.0037829813],"genre_scores_gemma":[0.99800986,0.000015571224,0.00022542283,0.00021476895,0.00034143962,0.000039893355,0.000002869754,0.000024041448,0.0011261277],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9981469,0.00023000891,0.00017937926,0.0007679461,0.00029378827,0.00038198417],"domain_scores_gemma":[0.9988452,0.00029105108,0.00012134138,0.00054531667,0.000044989887,0.00015208163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027015287,0.00022729783,0.00021533949,0.00008141331,0.00030388453,0.00036841157,0.00053587265,0.00015847286,0.00051387976],"category_scores_gemma":[0.0010983498,0.00016815259,0.00007047209,0.00030937887,0.0001157461,0.0004777911,0.00014308137,0.0006101608,0.000066987704],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011318783,0.0009034594,0.0030882375,0.0000038096762,0.000004175288,0.0011014518,0.00015607021,7.0576635e-7,0.9790188,0.00025051105,0.00008077279,0.0152787985],"study_design_scores_gemma":[0.009973849,0.049939413,0.5330713,0.00006687383,0.00026955517,0.041297097,0.0066955145,0.006777161,0.21848656,0.09704176,0.030107565,0.006273347],"about_ca_topic_score_codex":0.000013920724,"about_ca_topic_score_gemma":0.00001167716,"teacher_disagreement_score":0.76053226,"about_ca_system_score_codex":0.000013029664,"about_ca_system_score_gemma":0.000021201926,"threshold_uncertainty_score":0.6857063},"labels":[],"label_agreement":null},{"id":"W2052007540","doi":"10.1385/ni:3:4:301","title":"Phase Synchronization Measurements Using Electroencephalographic Recordings: What Can We Really Say About Neuronal Synchrony?","year":2005,"lang":"en","type":"article","venue":"Neuroinformatics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":159,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Western Hospital; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Electroencephalography; Neurophysiology; Synchronization (alternating current); Phase synchronization; Computer science; Magnetoencephalography; Distortion (music); Phase (matter); Brain activity and meditation; SIGNAL (programming language); Pattern recognition (psychology); Phase distortion; Speech recognition; Neuroscience; Artificial intelligence; Psychology; Computer vision; Physics","score_opus":0.04077210950996112,"score_gpt":0.27794877968323195,"score_spread":0.23717667017327082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052007540","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888625,0.000074135096,0.006305687,0.0016292548,0.0013124195,0.0005845126,0.000020508473,0.00026476893,0.00094622804],"genre_scores_gemma":[0.9910127,0.0018509567,0.00094386184,0.0057663945,0.00024663232,0.000011448984,0.000026233109,0.00005523984,0.00008653296],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972621,0.00013731059,0.00066632166,0.00042491313,0.0008264501,0.0006828819],"domain_scores_gemma":[0.9986667,0.00012825779,0.00044372355,0.00043253804,0.00012449155,0.00020430732],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025183044,0.00035315537,0.00026913718,0.00034216212,0.0004876261,0.00060045946,0.00040964683,0.00009829162,0.000056099747],"category_scores_gemma":[0.00031497923,0.000344978,0.00012913323,0.00085330836,0.00012063414,0.0027147406,0.00009205672,0.00040519438,0.000045234385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016758777,0.00070334104,0.00035506004,0.00021216675,0.000024312501,0.000028811113,0.000929123,0.016791966,0.66847664,0.0008854164,0.0012669204,0.31015864],"study_design_scores_gemma":[0.0021270462,0.0009885239,0.00019427278,0.00020113857,0.000055303557,0.0003314714,0.00010526086,0.95244414,0.036204226,0.00025965367,0.0065098703,0.00057910546],"about_ca_topic_score_codex":0.0000067811966,"about_ca_topic_score_gemma":0.000032796426,"teacher_disagreement_score":0.93565214,"about_ca_system_score_codex":0.00021487389,"about_ca_system_score_gemma":0.00014539823,"threshold_uncertainty_score":0.9999002},"labels":[],"label_agreement":null},{"id":"W2052263456","doi":"10.1523/jneurosci.3884-10.2010","title":"Occipital–Parietal Network Prepares Reflexive Saccades","year":2010,"lang":"en","type":"letter","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Saccade; Saccadic masking; Neuroscience; Cognition; Psychology; Eye movement; Saccadic eye movement; Saccadic suppression of image displacement; Cognitive psychology","score_opus":0.0431681517471429,"score_gpt":0.2946050638875559,"score_spread":0.251436912140413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052263456","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19927625,0.00024485492,0.00080065586,0.7253333,0.0675273,0.00095110224,0.0001356415,0.00022363865,0.0055072834],"genre_scores_gemma":[0.12303611,0.00027027927,0.00031282415,0.85988545,0.012513351,0.000006220976,0.0000032638804,0.00009182987,0.003880647],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9954914,0.0003197972,0.0009409774,0.00082015694,0.0015942007,0.000833463],"domain_scores_gemma":[0.9965436,0.00069233,0.0018080745,0.00055959495,0.00020039988,0.00019603338],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00055641565,0.00046214164,0.00061726075,0.00031531753,0.0004536185,0.0005278654,0.0018488072,0.00085111574,0.000042474036],"category_scores_gemma":[0.0022831294,0.0003565234,0.00043758613,0.00077262305,0.0006956506,0.0008911891,0.00029138883,0.007815756,0.000027498867],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004720003,0.000035850793,0.00005308516,0.000025983434,0.000002451288,0.00185347,0.00002864048,0.00027816946,0.3631316,0.00009734511,0.63386095,0.000585233],"study_design_scores_gemma":[0.00022270819,0.00087278214,0.00074407575,0.00010037123,0.000045814744,0.0034324708,0.0000032956848,0.0009367423,0.006514187,0.0024715024,0.9842131,0.00044292118],"about_ca_topic_score_codex":0.000003148645,"about_ca_topic_score_gemma":0.0000027516446,"teacher_disagreement_score":0.35661742,"about_ca_system_score_codex":0.000066112996,"about_ca_system_score_gemma":0.00028915476,"threshold_uncertainty_score":0.99988866},"labels":[],"label_agreement":null},{"id":"W2052269256","doi":"10.1002/cne.23196","title":"Nonuniform distribution of contacts from noradrenergic and serotonergic boutons on the dendrites of cat splenius motoneurons","year":2012,"lang":"en","type":"article","venue":"The Journal of Comparative Neurology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Canadian Institutes of Health Research","keywords":"Soma; Serotonergic; Biology; Neuroscience; Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Dorsum; Dendrite (mathematics); Anatomy; Biophysics; Serotonin; Geometry; Receptor","score_opus":0.05078467142109059,"score_gpt":0.2769152705994523,"score_spread":0.22613059917836173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052269256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970975,0.000090188034,0.00012413118,0.0018183854,0.00042519765,0.00018471915,0.000071424765,0.0000041635762,0.00018431076],"genre_scores_gemma":[0.9990807,0.00011703362,0.0000049822074,0.00068855775,0.00008053643,0.000002196547,0.0000027606548,0.000006870404,0.000016352978],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99829364,0.00074924465,0.0004146306,0.00010240686,0.00023684073,0.00020326357],"domain_scores_gemma":[0.9963405,0.002595586,0.000702646,0.00019750127,0.00009441461,0.00006931834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033846495,0.00013960757,0.00034212662,0.00005757407,0.00013500801,0.000010095613,0.00028587814,0.000046471905,0.000023411441],"category_scores_gemma":[0.00014731707,0.000073259944,0.0000787095,0.00015005934,0.00040755724,0.00014884751,0.000070146954,0.0003309651,0.0000037793895],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015608802,0.00026558668,0.005843787,0.0000069085977,0.000031722626,0.0000071270942,0.0010014513,0.0018464965,0.96779716,0.02120051,0.0003706192,0.00006772628],"study_design_scores_gemma":[0.0010824301,0.0036124787,0.19719593,0.00002717996,0.000146407,0.00050694554,0.00016308861,0.009196049,0.7836677,0.0029999346,0.0012446409,0.00015722212],"about_ca_topic_score_codex":0.000035164147,"about_ca_topic_score_gemma":0.000016917404,"teacher_disagreement_score":0.19135214,"about_ca_system_score_codex":0.000010412903,"about_ca_system_score_gemma":0.000026787968,"threshold_uncertainty_score":0.29874536},"labels":[],"label_agreement":null},{"id":"W2052397179","doi":"10.1016/j.neuroimage.2006.05.045","title":"Magnetoencephalographic study of vibrotactile evoked transient and steady-state responses in human somatosensory cortex","year":2006,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":81,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; Baycrest Hospital; University of Toronto; Sunnybrook Health Science Centre","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Somatosensory system; Magnetoencephalography; Stimulus (psychology); Neuroscience; Interstimulus interval; Audiology; Psychology; Somatosensory evoked potential; Electrophysiology; Stimulation; Electroencephalography; Medicine; Cognitive psychology","score_opus":0.021957299884701454,"score_gpt":0.2577031653211777,"score_spread":0.23574586543647624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052397179","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99782974,0.000016974669,0.000004691001,0.000059576916,0.00011927664,0.00058412674,0.000024671897,0.00006238026,0.0012985712],"genre_scores_gemma":[0.9991227,0.00001632343,0.00000853481,0.0001472744,0.000015762493,0.000017411809,0.0000015707922,0.000022624406,0.00064779416],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9981475,0.0003763729,0.00038236898,0.0005353964,0.00028816544,0.00027023436],"domain_scores_gemma":[0.99927956,0.00023721656,0.00012308217,0.0002908935,0.000022815162,0.000046430705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013643486,0.00017137744,0.0002467061,0.0003313871,0.000117307114,0.000048747534,0.00014503393,0.000031424588,0.00002161306],"category_scores_gemma":[0.00006608975,0.00016359331,0.00004422507,0.0004593728,0.00017255648,0.00019101702,0.00004542576,0.00020565896,0.0000022363904],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017308182,0.0006333763,0.0142004285,0.00002236972,9.632039e-7,0.00023810228,0.00021251968,0.00007927754,0.9839934,0.00012592858,0.000041978936,0.00027855436],"study_design_scores_gemma":[0.0016123849,0.0012507144,0.9711329,0.000013027721,0.000010143001,0.000040503535,0.00012985132,0.0009513697,0.024005927,0.0005729739,0.0001101837,0.00017002126],"about_ca_topic_score_codex":0.0002817514,"about_ca_topic_score_gemma":0.00029868024,"teacher_disagreement_score":0.9599875,"about_ca_system_score_codex":0.000009830068,"about_ca_system_score_gemma":0.00001105867,"threshold_uncertainty_score":0.6671142},"labels":[],"label_agreement":null},{"id":"W2052440097","doi":"10.1038/srep08423","title":"The Epileptic Thalamocortical Network is a Macroscopic Self-Sustained Oscillator: Evidence from Frequency-Locking Experiments in Rat Brains","year":2015,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"","keywords":"Neuroscience; Rhythm; Epilepsy; Neural activity; Nerve net; Psychology; Computer science; Physics","score_opus":0.047817518436358716,"score_gpt":0.29827748321728753,"score_spread":0.2504599647809288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052440097","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98116636,0.00031448176,0.00011047301,0.00064150227,0.0162063,0.0006622915,0.0000018793684,0.00013769625,0.00075902656],"genre_scores_gemma":[0.9976015,0.000019606103,0.00031726863,0.0004038425,0.00021173683,0.00006440678,0.0000044300527,0.00002531023,0.0013518964],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9955958,0.0002981603,0.0007823225,0.0013825512,0.0011269642,0.00081417063],"domain_scores_gemma":[0.9975054,0.00050937495,0.00035254698,0.0012274276,0.00012318419,0.00028202694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019494463,0.00025049454,0.0002522884,0.00009693006,0.0007984164,0.0010269379,0.00042791467,0.00010015149,0.000052411644],"category_scores_gemma":[0.0022924,0.00018169353,0.0001011677,0.0011312349,0.00039717255,0.0005293724,0.00028960675,0.00028301904,0.000058053447],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000091157526,0.00024583717,0.23536706,0.000026181311,0.000019253215,0.002888033,0.0056712083,0.0008864797,0.721587,0.0013390409,0.030185316,0.001693441],"study_design_scores_gemma":[0.002315745,0.0007061733,0.0228695,0.0012021791,0.0001151378,0.00094444863,0.0027531208,0.11429414,0.468503,0.34048086,0.04319362,0.0026220772],"about_ca_topic_score_codex":0.000113129,"about_ca_topic_score_gemma":0.0001401444,"teacher_disagreement_score":0.33914182,"about_ca_system_score_codex":0.00031860653,"about_ca_system_score_gemma":0.00043506027,"threshold_uncertainty_score":0.9902785},"labels":[],"label_agreement":null},{"id":"W2052484123","doi":"10.1371/journal.pone.0053588","title":"Confounding Effects of Phase Delays on Causality Estimation","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of Toronto; Baycrest Hospital","funders":"James S. McDonnell Foundation","keywords":"Granger causality; Causality (physics); Synchronization (alternating current); Computer science; Ambiguity; Phase (matter); Phase synchronization; Autocorrelation; SIGNAL (programming language); Lag; Linear model; Artificial intelligence; Machine learning; Mathematics; Statistics; Physics","score_opus":0.06045343731986253,"score_gpt":0.28379699154099747,"score_spread":0.22334355422113494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052484123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99763167,0.0000020628381,0.0007061561,0.00018585166,0.00010458426,0.00037141467,0.000003555454,0.000043420954,0.0009512634],"genre_scores_gemma":[0.99916315,0.0000048190723,0.00024060902,0.0003309968,0.000024939034,0.000027372133,0.0000033792612,0.0000073779215,0.0001973574],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99933237,0.0000538362,0.00012316454,0.00015896924,0.00022296522,0.00010868133],"domain_scores_gemma":[0.99933416,0.00037588945,0.00007935717,0.00013835354,0.000031897096,0.000040321018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000574087,0.00006466622,0.00010964921,0.000045496774,0.000056623532,0.000025571895,0.00006108198,0.000027380205,0.00005250759],"category_scores_gemma":[0.00076146354,0.00005696215,0.000020703568,0.000104604704,0.000033858658,0.0001489816,0.000016096945,0.00007329872,0.00013769392],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014727442,0.0008569065,0.000070588685,0.000105544066,0.000005241399,0.0000018620542,0.000023971976,0.000026631567,0.9939488,0.0028266113,0.00003116965,0.0020879302],"study_design_scores_gemma":[0.00045449147,0.0003959832,0.00075932377,0.00008370638,0.000017993789,6.225424e-7,0.0000013957183,0.11649184,0.8802351,0.0014988104,0.0000026540238,0.00005811148],"about_ca_topic_score_codex":0.000028869497,"about_ca_topic_score_gemma":7.485763e-7,"teacher_disagreement_score":0.1164652,"about_ca_system_score_codex":0.000023692726,"about_ca_system_score_gemma":0.000006371965,"threshold_uncertainty_score":0.23228492},"labels":[],"label_agreement":null},{"id":"W2052562350","doi":"10.1523/jneurosci.0155-12.2012","title":"Psychophysical and Neural Evidence for Emotion-Enhanced Perceptual Vividness","year":2012,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":120,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"National Institute of Mental Health; Canadian Institutes of Health Research","keywords":"Psychology; Salience (neuroscience); Perception; Amygdala; Insula; Cognitive psychology; Embodied cognition; Neural correlates of consciousness; Cognition; Neuroscience","score_opus":0.11227711350760822,"score_gpt":0.3529031339028158,"score_spread":0.24062602039520758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052562350","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9839643,0.000042857846,0.011121957,0.0011716059,0.0034769925,0.00016166775,0.0000039608776,0.000015491903,0.00004115967],"genre_scores_gemma":[0.99691087,0.000095373834,0.00021808916,0.0020845875,0.00053436984,0.0000040098985,6.586892e-8,0.000012350722,0.00014028321],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99845415,0.00010587952,0.0003304127,0.00027502768,0.00045706017,0.0003774577],"domain_scores_gemma":[0.9985903,0.0006155209,0.0003013954,0.00014119844,0.00009561599,0.0002559886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039182612,0.00013872735,0.00019146892,0.000112436086,0.0002550653,0.00011621933,0.00032597934,0.00003624234,0.0000055071996],"category_scores_gemma":[0.0023888054,0.00010600432,0.00011246848,0.0003442417,0.00027840448,0.0018434153,0.000060906437,0.00022513462,0.0000025580985],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009856516,0.0000941636,0.0003806931,0.000012072903,3.6706194e-7,0.000002834511,0.00019270414,0.00006887006,0.992976,0.00042895126,0.00014641105,0.0055983863],"study_design_scores_gemma":[0.0032098228,0.006379571,0.46171144,0.0003592209,0.00011650814,0.0036619683,0.00040352164,0.10772642,0.4073269,0.0029106091,0.0049716807,0.0012223432],"about_ca_topic_score_codex":6.56766e-7,"about_ca_topic_score_gemma":1.6678827e-7,"teacher_disagreement_score":0.5856491,"about_ca_system_score_codex":0.000025377236,"about_ca_system_score_gemma":0.000033486667,"threshold_uncertainty_score":0.4322731},"labels":[],"label_agreement":null},{"id":"W2052649347","doi":"10.1111/j.1460-9568.2005.03994.x","title":"Cortical origin of functional recovery in the somatosensory cortex of the adult mouse after thalamic lesion","year":2005,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"National Science Foundation","keywords":"Somatosensory system; Thalamus; Barrel cortex; Lesion; Neuroscience; Cortex (anatomy); Cerebral cortex; Sensory system; Anatomy; Sensory cortex; Biology; Medicine; Pathology","score_opus":0.03830487997078009,"score_gpt":0.246789805746742,"score_spread":0.20848492577596192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052649347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971388,0.000013514467,0.00029680153,0.0010053087,0.0008451264,0.00011111675,0.000008820277,0.000005376235,0.0005751358],"genre_scores_gemma":[0.9968727,0.00006959589,0.000038674953,0.0026487838,0.000105526145,6.2332833e-7,8.65616e-8,0.000013684623,0.00025032373],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9970164,0.001054443,0.00067827676,0.00023919181,0.00080263533,0.00020905916],"domain_scores_gemma":[0.99863106,0.00033281767,0.0005746686,0.00030273225,0.00010650683,0.000052241314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008778209,0.00012833605,0.00017590818,0.00013424802,0.00011094559,0.000039892875,0.0007267268,0.000018028531,0.000013206346],"category_scores_gemma":[0.001187817,0.00007027043,0.00016653806,0.000539053,0.00045100407,0.00035486105,0.00010511483,0.00047240782,0.000007827467],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015544801,0.0001727951,0.0016069427,0.000007821159,5.3892836e-7,0.00007032305,0.00009260632,0.0014553642,0.99491715,0.00035099383,0.0001284204,0.0010415815],"study_design_scores_gemma":[0.0006207527,0.00058682257,0.9184583,0.00008391691,0.000013472715,0.0009542208,0.00006157454,0.005373888,0.07270647,0.00008731099,0.0009278528,0.00012543173],"about_ca_topic_score_codex":0.0000010352478,"about_ca_topic_score_gemma":0.000002701546,"teacher_disagreement_score":0.9222107,"about_ca_system_score_codex":0.000025885092,"about_ca_system_score_gemma":0.000062258994,"threshold_uncertainty_score":0.2865545},"labels":[],"label_agreement":null},{"id":"W2052816647","doi":"10.1016/j.neuroimage.2007.03.060","title":"Assignment of functional activations to probabilistic cytoarchitectonic areas revisited","year":2007,"lang":"en","type":"review","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1016,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Neurological Disorders and Stroke; Deutsche Forschungsgemeinschaft","keywords":"Probabilistic logic; Computer science; Artificial intelligence; Voxel; Pattern recognition (psychology); Function (biology); Natural language processing","score_opus":0.13891299438243462,"score_gpt":0.35212592511921725,"score_spread":0.21321293073678263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052816647","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016937406,0.895013,0.030196542,0.0009482372,0.006568804,0.01990842,0.002562673,0.0012243307,0.0418843],"genre_scores_gemma":[0.0014305155,0.9928935,0.00021586419,0.0010722243,0.0003996459,0.00027444126,0.00017757769,0.00018692133,0.0033492784],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.996915,0.00031802696,0.00078440143,0.0009529234,0.00063498726,0.00039469567],"domain_scores_gemma":[0.997415,0.0012006501,0.00044980014,0.000681669,0.00007727272,0.00017559197],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026952472,0.0004303068,0.00093236106,0.0005600736,0.00014437141,0.00006238347,0.0003819941,0.00014387465,0.00019015749],"category_scores_gemma":[0.0016937405,0.00035905314,0.00042595112,0.001400979,0.0000920711,0.00009741637,0.00019389884,0.0005850125,0.0001809339],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004238468,0.0002718359,0.0000013740632,0.005370204,0.000018236693,0.000059020625,0.000011274538,0.00012436624,0.015276984,0.0033227287,0.0014642618,0.97403735],"study_design_scores_gemma":[0.00013573396,0.00025643813,0.000097122786,0.0020678646,0.00016699085,0.00012514906,9.605932e-7,0.00011769636,0.0003067793,0.0002010488,0.9961493,0.00037491485],"about_ca_topic_score_codex":0.000002531137,"about_ca_topic_score_gemma":0.0000013941208,"teacher_disagreement_score":0.99468505,"about_ca_system_score_codex":0.00017502996,"about_ca_system_score_gemma":0.00017673898,"threshold_uncertainty_score":0.99988616},"labels":[],"label_agreement":null},{"id":"W2052903927","doi":"10.1523/jneurosci.4764-08.2009","title":"Role of the Superior Colliculus in Choosing Mixed-Strategy Saccades","year":2009,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Canadian Institutes of Health Research","funders":"Canadian Institutes of Health Research","keywords":"Superior colliculus; Saccade; Neuroscience; Psychology; Cognitive psychology; Eye movement; Computer science","score_opus":0.023413186959694875,"score_gpt":0.2596994701563119,"score_spread":0.23628628319661701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052903927","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979126,0.000034095585,0.000021484148,0.0009525162,0.0006143117,0.000087218825,0.0000022185607,0.0000048105003,0.0003707779],"genre_scores_gemma":[0.9987509,0.00005062779,0.000020408646,0.0010598396,0.0000433422,3.4303378e-7,1.2336949e-8,0.0000043196505,0.00007019541],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985831,0.00012939912,0.00041465243,0.00018272444,0.00047526718,0.00021488017],"domain_scores_gemma":[0.99929464,0.00009476523,0.00034468554,0.00015223945,0.000049692128,0.00006399397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028204097,0.00009389683,0.00016648675,0.00013606349,0.0001172914,0.00007654067,0.00057684013,0.000032365537,0.0000028431325],"category_scores_gemma":[0.0007685512,0.000059425136,0.00010003376,0.0009198855,0.00016407848,0.00044238393,0.00004222191,0.00028931926,7.1500796e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020798325,0.00007403671,0.0014741155,0.0000018686574,1.0418236e-7,0.000017162653,0.00004531978,0.0017065943,0.9918702,0.0005672558,0.000017276585,0.004205267],"study_design_scores_gemma":[0.0002442763,0.00044142062,0.4399523,0.000045790086,0.00000353303,0.00042474366,0.000053986834,0.006530614,0.55018806,0.001576478,0.00046241898,0.000076342854],"about_ca_topic_score_codex":0.0000043782748,"about_ca_topic_score_gemma":0.000004668767,"teacher_disagreement_score":0.44168213,"about_ca_system_score_codex":0.00003497178,"about_ca_system_score_gemma":0.00009692189,"threshold_uncertainty_score":0.24232867},"labels":[],"label_agreement":null},{"id":"W2052995703","doi":"10.1371/journal.pbio.1001236","title":"Functional Clustering Drives Encoding Improvement in a Developing Brain Network during Awake Visual Learning","year":2012,"lang":"en","type":"article","venue":"PLoS Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Biology; Sensory system; Xenopus; Neuroplasticity; Population; Stimulus (psychology); Psychology; Cognitive psychology; Genetics","score_opus":0.037666484371777095,"score_gpt":0.2695928745946636,"score_spread":0.23192639022288647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052995703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99492145,0.000032339172,0.0029879557,0.00055117323,0.0008943097,0.00015617965,8.836343e-7,0.00008502468,0.00037069732],"genre_scores_gemma":[0.9980283,0.000023753448,0.00020912135,0.0008923428,0.0005697816,0.000035471054,0.000007990482,0.000016981532,0.00021627283],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99853384,0.00016264805,0.00025470203,0.0003436391,0.000094125804,0.00061104615],"domain_scores_gemma":[0.9994324,0.00032371038,0.0001000063,0.000071002825,0.000012413688,0.000060485243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025261022,0.00014478392,0.00016149943,0.00011976584,0.0002614585,0.000025803081,0.0000904115,0.00008660742,0.000049074948],"category_scores_gemma":[0.00035303843,0.0001350534,0.000038688886,0.0002433833,0.00004752032,0.00019163745,0.00020932198,0.00027588737,0.000030347657],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028095235,0.00003588886,0.07459507,0.000019488609,0.0000050123554,0.0000030968674,0.00013391607,0.0011490098,0.91992635,0.0019768204,0.000009258646,0.0021180112],"study_design_scores_gemma":[0.0025045513,0.0006981062,0.45554504,0.00030085468,0.000021633758,0.0001415954,0.00027561342,0.12020752,0.41126037,0.0027331996,0.004889524,0.0014219924],"about_ca_topic_score_codex":0.0000074015165,"about_ca_topic_score_gemma":0.00002197236,"teacher_disagreement_score":0.508666,"about_ca_system_score_codex":0.00011984199,"about_ca_system_score_gemma":0.000019133324,"threshold_uncertainty_score":0.5507318},"labels":[],"label_agreement":null},{"id":"W2053082657","doi":"10.1016/j.bandl.2014.05.006","title":"Auditory–prefrontal axonal connectivity in the macaque cortex: Quantitative assessment of processing streams","year":2014,"lang":"en","type":"article","venue":"Brain and Language","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children; SickKids Foundation; Baycrest Hospital; University of Toronto","funders":"Radboud Universiteit","keywords":"Macaque; Sensory system; Neuroscience; Psychology; Perception; Sensory processing; Prefrontal cortex; Cognitive science; Visual cortex; Cognitive psychology; Communication; Cognition","score_opus":0.017139533949657896,"score_gpt":0.3046561314643316,"score_spread":0.28751659751467373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053082657","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948748,0.000020429563,0.0009957646,0.00029697127,0.00010339528,0.00013340551,0.000015602094,0.000015357122,0.003544321],"genre_scores_gemma":[0.999122,0.0000038174717,0.00009775701,0.00064625085,0.00004512194,0.000008613731,0.0000038088444,0.00000541083,0.00006721777],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992837,0.00019164702,0.00010339343,0.00016914771,0.00014431082,0.000107830856],"domain_scores_gemma":[0.9993077,0.0005236876,0.000057785146,0.00008248719,0.000008098917,0.000020239911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024577903,0.00007415615,0.000102223865,0.00003725464,0.000061331375,0.000030129753,0.0000831974,0.0000283841,0.000012450811],"category_scores_gemma":[0.00019300258,0.000049796785,0.000020758083,0.00010089264,0.000094872026,0.000090400354,0.00002055174,0.000120902136,6.7810504e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029578605,0.00013643444,0.0022463552,0.000080645324,0.0000027565484,0.000021034139,0.0028048288,0.000049622387,0.9289791,0.016612696,0.00027238025,0.04876459],"study_design_scores_gemma":[0.0014097857,0.00071260525,0.6497182,0.00010889624,0.000012462403,0.00006175123,0.005421534,0.3238054,0.015569181,0.0013385674,0.0014940621,0.00034750547],"about_ca_topic_score_codex":0.0000476583,"about_ca_topic_score_gemma":0.00022181547,"teacher_disagreement_score":0.9134099,"about_ca_system_score_codex":0.000012717473,"about_ca_system_score_gemma":0.000016627111,"threshold_uncertainty_score":0.2030654},"labels":[],"label_agreement":null},{"id":"W2053317106","doi":"10.1097/wnr.0b013e32832f812c","title":"Effects of adaptation on spectrotemporal receptive fields in primary auditory cortex","year":2009,"lang":"en","type":"article","venue":"Neuroreport","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Receptive field; Stimulus (psychology); Auditory cortex; Neuroscience; Surround suppression; Neuron; Psychology; Perception; Visual perception; Cognitive psychology","score_opus":0.015213825436966045,"score_gpt":0.23605140121471602,"score_spread":0.22083757577774998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053317106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9840831,0.000003455016,0.000117447475,0.0003149501,0.00088675687,0.00032250068,0.0000011872928,0.000045482782,0.014225122],"genre_scores_gemma":[0.997519,0.000018578407,0.00003626033,0.0019028647,0.000104134124,0.0000071648665,0.0000036515978,0.0000087112485,0.00039960188],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988451,0.00008307808,0.00028499222,0.00034859896,0.00028533937,0.0001529087],"domain_scores_gemma":[0.9993675,0.00019563627,0.00020899052,0.00017168841,0.000019100897,0.0000371234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009037893,0.000111961555,0.00016341252,0.00012029277,0.000031654934,0.000009747004,0.00008578163,0.00006000206,0.000009424969],"category_scores_gemma":[0.00034019264,0.00010395686,0.000057058336,0.00023184571,0.00003344745,0.00012271167,0.000013577263,0.0002245015,0.00000904599],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020236718,0.00025132933,0.00047747281,0.000023406132,9.720212e-7,0.0005637346,0.00009278227,0.00025209907,0.9861204,0.000933514,0.00064739893,0.010434501],"study_design_scores_gemma":[0.0005038164,0.0017327702,0.73802674,0.000041252933,0.000005694636,0.000042179534,0.000005403555,0.0014800942,0.2550742,0.002575857,0.00036156763,0.00015044845],"about_ca_topic_score_codex":0.000010958095,"about_ca_topic_score_gemma":0.000004596563,"teacher_disagreement_score":0.73754925,"about_ca_system_score_codex":0.000045383324,"about_ca_system_score_gemma":0.00004618829,"threshold_uncertainty_score":0.42392376},"labels":[],"label_agreement":null},{"id":"W2053518705","doi":"10.1109/icpp.2013.60","title":"Towards Hardware Realizations of Intelligent Systems: A Cortical Column Approach","year":2013,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Realization (probability); Pooling; Software; Artificial intelligence; Scheme (mathematics); Von Neumann architecture; Spike (software development); Column (typography); Machine learning; Computer architecture; Software engineering; Operating system","score_opus":0.04812604871005055,"score_gpt":0.26112530765046865,"score_spread":0.2129992589404181,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053518705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.539797,0.000028042707,0.29072765,0.0005361,0.0008844619,0.0018144652,0.000053407664,0.00028006407,0.16587879],"genre_scores_gemma":[0.9941666,0.000018982004,0.00026229065,0.0002561636,0.000024280416,0.000065817134,0.000006950199,0.000009767275,0.0051891278],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911124,0.000083432926,0.00025050726,0.00019241864,0.00021494449,0.00014748338],"domain_scores_gemma":[0.99953973,0.00007597692,0.000059769904,0.0001615025,0.00009214385,0.00007087492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007292691,0.00007669062,0.00012757693,0.000051915544,0.00007229135,0.00006380336,0.00013352101,0.00004647169,0.00018569983],"category_scores_gemma":[0.00031799744,0.00005935507,0.000044996847,0.00025676886,0.00007487071,0.00011260843,0.00005410639,0.00007955316,0.000074540534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017328352,0.00051173713,0.00072969566,0.0002048201,0.0000123463815,0.000003876739,0.0002643092,0.002440478,0.43172413,0.5497736,0.010521265,0.003796438],"study_design_scores_gemma":[0.0002617463,0.00027377106,0.0038274033,0.000035909507,0.000021780877,0.00007997299,0.00088554755,0.93293834,0.05705297,0.0011036876,0.0032261654,0.00029268043],"about_ca_topic_score_codex":0.00041760947,"about_ca_topic_score_gemma":0.0000027230867,"teacher_disagreement_score":0.9304979,"about_ca_system_score_codex":0.000024896983,"about_ca_system_score_gemma":0.000021788412,"threshold_uncertainty_score":0.24204294},"labels":[],"label_agreement":null},{"id":"W2053567938","doi":"10.3389/fncel.2015.00067","title":"Contribution of sublinear and supralinear dendritic integration to neuronal computations","year":2015,"lang":"en","type":"review","venue":"Frontiers in Cellular Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":175,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre; Montreal General Hospital","funders":"FP7 People: Marie-Curie Actions; Ecoles doctorales, Université Paris-Saclay; CHIST-ERA; Agence Nationale de la Recherche","keywords":"Sublinear function; Computation; Computer science; Feature (linguistics); Models of neural computation; Neuroscience; Artificial intelligence; Artificial neural network; Biology; Mathematics; Algorithm","score_opus":0.05777838160792793,"score_gpt":0.3121895177075635,"score_spread":0.25441113609963556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053567938","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00794955,0.7823001,0.19134393,0.00040924898,0.01308358,0.004143549,0.00046100467,0.00016587717,0.00014317194],"genre_scores_gemma":[0.013960927,0.98290014,0.001974307,0.00050089124,0.0001332348,0.00007479465,0.00010683816,0.00007083966,0.0002780241],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968402,0.00049491075,0.00075038685,0.00094841036,0.00056870625,0.0003974073],"domain_scores_gemma":[0.9988023,0.00019611605,0.00032913857,0.00031871765,0.00013389712,0.00021980009],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00053713395,0.00034973287,0.00096365385,0.00075564726,0.0001283878,0.00013101456,0.0004913107,0.00015963631,0.000002030453],"category_scores_gemma":[0.002078637,0.00031761627,0.00013979233,0.0018519205,0.0003359059,0.0002982419,0.0001917136,0.00045497468,0.0000075834223],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007629428,0.00047635814,0.00018220198,0.0029028498,0.0000063123834,0.00019902739,0.00021882354,0.001432921,0.036943626,0.0064141755,0.0034478775,0.94769955],"study_design_scores_gemma":[0.00056033104,0.0006264729,0.000059333,0.0019371725,0.0001454892,0.0001230381,0.000023764382,0.09901387,0.0031141236,0.0010376668,0.8925581,0.0008006233],"about_ca_topic_score_codex":0.000009678559,"about_ca_topic_score_gemma":0.0000037950738,"teacher_disagreement_score":0.94689894,"about_ca_system_score_codex":0.0001409868,"about_ca_system_score_gemma":0.00022061964,"threshold_uncertainty_score":0.9999276},"labels":[],"label_agreement":null},{"id":"W2053922273","doi":"10.1103/physreve.67.026217","title":"Information capacity and pattern formation in a tent map network featuring statistical periodicity","year":2003,"lang":"en","type":"article","venue":"Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Limiting; Computer science; Lattice (music); Coding (social sciences); Information theory; Statistical physics; Upper and lower bounds; Coupling strength; Theoretical computer science; Biological system; Data mining; Physics; Mathematics; Statistics; Condensed matter physics; Mathematical analysis; Biology","score_opus":0.016583146499699677,"score_gpt":0.27760010467958324,"score_spread":0.2610169581798836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053922273","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81467676,0.0009835061,0.17135204,0.0029552048,0.0017249476,0.0021057595,0.00058139756,0.0001872723,0.0054330705],"genre_scores_gemma":[0.99700946,0.0015416554,0.0005211857,0.00054860866,0.00014072299,0.000038796512,0.00012984822,0.000018670074,0.000051036703],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978571,0.0003055339,0.0006542135,0.00040666116,0.00032419062,0.0004523031],"domain_scores_gemma":[0.9989023,0.00047887268,0.00015668715,0.00020233689,0.00005496393,0.00020483555],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021517287,0.00032246643,0.00052923104,0.00004687017,0.0003231751,0.00012265543,0.000109616376,0.000092222166,0.00002609358],"category_scores_gemma":[0.00045344137,0.00026620543,0.00006729581,0.00021179955,0.00032466548,0.00077579275,0.00023195188,0.00068633835,0.00004680855],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017720851,0.00084770675,0.0014650498,0.005024383,0.00005605324,0.00010813411,0.0034436646,0.00089095085,0.0032318893,0.79937696,0.006791232,0.17858677],"study_design_scores_gemma":[0.0019251578,0.001041671,0.015893944,0.002430641,0.00021172102,0.0002488989,0.000220102,0.39496824,0.0017370164,0.57618266,0.0038991298,0.0012408026],"about_ca_topic_score_codex":0.000011060911,"about_ca_topic_score_gemma":0.0000075569355,"teacher_disagreement_score":0.39407727,"about_ca_system_score_codex":0.00009478431,"about_ca_system_score_gemma":0.000021053687,"threshold_uncertainty_score":0.999979},"labels":[],"label_agreement":null},{"id":"W2053970474","doi":"10.1016/s0960-9822(02)00960-0","title":"What causes non-monotonic tuning of fMRI response to noisy images?","year":2002,"lang":"en","type":"letter","venue":"Current Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":117,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Monotonic function; Noise (video); Amplitude; Visual cortex; Artificial intelligence; Phase (matter); SIGNAL (programming language); Neuroscience; Scopus; Pattern recognition (psychology); Image (mathematics); Biology; Computer science; Physics; Mathematics; Optics; Mathematical analysis; MEDLINE","score_opus":0.05621199979173184,"score_gpt":0.3135045529466101,"score_spread":0.25729255315487826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053970474","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4235153,0.0016820814,0.0007766168,0.53291607,0.03819816,0.0017226218,0.00057412224,0.00021198795,0.00040303345],"genre_scores_gemma":[0.3188779,0.008009114,0.00013060095,0.6544785,0.0058566933,0.00032040084,0.00045134415,0.00026121514,0.011614249],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974727,0.00051782944,0.00042664856,0.0008670824,0.00017448996,0.0005412604],"domain_scores_gemma":[0.99803996,0.000947112,0.0003089533,0.0005628791,0.00006878363,0.00007232831],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021434909,0.0003527247,0.0004907241,0.0004183002,0.00009565925,0.00007493315,0.0005298832,0.0004317125,0.00012897448],"category_scores_gemma":[0.0007263746,0.00030308557,0.00017151904,0.00033781456,0.00022111929,0.00016092382,0.0002571411,0.0011450239,0.00027392412],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016186455,0.000047452162,0.00007775835,0.00009477109,0.000007705725,0.00007444937,0.00007785096,0.000008935301,0.5682555,0.000021021511,0.42024788,0.010924847],"study_design_scores_gemma":[0.0002456688,0.00051640364,0.00026961576,0.00023580327,0.000024209674,0.000036277645,0.000006382622,0.0003295763,0.021220488,0.00013582752,0.97657984,0.0003999075],"about_ca_topic_score_codex":0.0000076600045,"about_ca_topic_score_gemma":0.0000018115962,"teacher_disagreement_score":0.556332,"about_ca_system_score_codex":0.00008042937,"about_ca_system_score_gemma":0.0000521711,"threshold_uncertainty_score":0.9999421},"labels":[],"label_agreement":null},{"id":"W2054154492","doi":"10.1007/s10827-011-0370-8","title":"Energy-based stochastic control of neural mass models suggests time-varying effective connectivity in the resting state","year":2011,"lang":"en","type":"article","venue":"Journal of Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research","keywords":"Computer science; Neurophysiology; Artificial neural network; Stochastic modelling; Theory of computation; Neural coding; Stochastic process; Control theory (sociology); Mathematics; Neuroscience; Artificial intelligence; Control (management); Algorithm; Biology; Statistics","score_opus":0.032179845385054785,"score_gpt":0.25275555816201817,"score_spread":0.2205757127769634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054154492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6454549,0.000006273779,0.3538502,0.00018210546,0.00027327062,0.00014913276,0.000009787967,0.000007786499,0.00006655074],"genre_scores_gemma":[0.99809283,8.099097e-7,0.0003918996,0.0014683915,0.000026960177,0.0000052956993,2.9213743e-7,0.000009877742,0.000003659482],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99757457,0.00064258854,0.0004985918,0.00026465915,0.00078249973,0.00023711829],"domain_scores_gemma":[0.995886,0.0030405829,0.00068948395,0.00011204583,0.00020317808,0.00006867348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087603537,0.00014490401,0.00024554564,0.0002697015,0.00015258048,0.00006132307,0.00045513356,0.00002522785,0.0000033760425],"category_scores_gemma":[0.0010069546,0.00010414429,0.0001037877,0.0006527999,0.00030916077,0.0005736571,0.000027818498,0.0002899324,6.2703145e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023382087,0.00011589591,0.00020604763,0.0000061715887,9.3653097e-7,0.000068917914,0.00013147488,0.8478587,0.14850068,0.0019664438,0.000002867537,0.0009080098],"study_design_scores_gemma":[0.00082960975,0.000583231,0.010090887,0.000038312748,0.000007883756,0.0001556402,0.0000053049453,0.94829947,0.0047110603,0.0351858,8.131344e-7,0.00009199786],"about_ca_topic_score_codex":0.000012888045,"about_ca_topic_score_gemma":0.0000010132885,"teacher_disagreement_score":0.3534583,"about_ca_system_score_codex":0.000037125134,"about_ca_system_score_gemma":0.00013386081,"threshold_uncertainty_score":0.42468807},"labels":[],"label_agreement":null},{"id":"W2054197488","doi":"10.1371/journal.pone.0008982","title":"Can Power-Law Scaling and Neuronal Avalanches Arise from Stochastic Dynamics?","year":2010,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":209,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Centre National de la Recherche Scientifique; Agence Nationale de la Recherche; National Science Foundation","keywords":"Statistical physics; Self-organized criticality; Spurious relationship; Power law; Criticality; Scaling; Logarithm; Physics; Stochastic process; Law; Mathematics; Statistics; Mathematical analysis","score_opus":0.028285454023096734,"score_gpt":0.20873584125192585,"score_spread":0.1804503872288291,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054197488","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973537,0.0000054216484,0.00013998707,0.0012717707,0.00030915154,0.00014662324,0.00013109617,0.0000841898,0.0005580877],"genre_scores_gemma":[0.9984742,0.0000033656843,0.00025050386,0.00095734606,0.000109674285,0.000007977054,0.000014340714,0.000022793845,0.00015983325],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989417,0.00003191751,0.00013925851,0.00040098184,0.0002678481,0.00021824872],"domain_scores_gemma":[0.9993029,0.00027926042,0.00006120818,0.00021263567,0.000023310124,0.000120666184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005635266,0.00013014689,0.00015287536,0.00004134651,0.00017143246,0.000103104074,0.00013202021,0.0000643483,0.00006629165],"category_scores_gemma":[0.00031212677,0.00012402704,0.000026566386,0.000080972626,0.00014808736,0.0001074892,0.000082111204,0.0003781228,0.000025887452],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022665346,0.0002148256,0.00067030004,0.000007649099,0.000007179721,0.0000074001587,0.000055215485,0.000014263327,0.9915556,0.007106093,0.000005277808,0.00033357332],"study_design_scores_gemma":[0.0013788432,0.00042916212,0.03333319,0.00014203486,0.00017859603,0.000029078854,0.000057120586,0.542011,0.37971088,0.041769776,0.000046331414,0.0009139543],"about_ca_topic_score_codex":0.00017143872,"about_ca_topic_score_gemma":0.00046959257,"teacher_disagreement_score":0.61184466,"about_ca_system_score_codex":0.000016381056,"about_ca_system_score_gemma":0.000014461969,"threshold_uncertainty_score":0.5057675},"labels":[],"label_agreement":null},{"id":"W2054259250","doi":"10.1017/s0140525x02300025","title":"Evolutionary and intellectual antecedents of primate visual processing streams","year":2002,"lang":"en","type":"article","venue":"Behavioral and Brain Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Primate; Visual processing; Dual (grammatical number); Function (biology); Movement (music); Movement control; Cognitive science; Control (management); Computer science; Psychology; Communication; Cognitive psychology; Neuroscience; Artificial intelligence; Biology; Evolutionary biology; Perception","score_opus":0.07577792664057115,"score_gpt":0.33289930641701293,"score_spread":0.2571213797764418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054259250","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989162,0.00018613329,0.000030788644,0.00034665907,0.00008576811,0.000094073395,0.0000073015703,0.000027193026,0.00030586388],"genre_scores_gemma":[0.99932826,0.00009053513,0.00013048419,0.00014067601,0.000017471277,0.000003168465,5.795942e-7,0.00000378471,0.0002850451],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990169,0.000039207254,0.00015680699,0.00033676458,0.000266499,0.00018381666],"domain_scores_gemma":[0.9996908,0.000113897164,0.000073017975,0.000042948133,0.000020706442,0.000058679707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012968526,0.00009533424,0.0001077527,0.00009596185,0.00033854455,0.00008752922,0.000108600434,0.000032723656,0.00005411842],"category_scores_gemma":[0.000120609526,0.00007043919,0.000019609493,0.00034757788,0.00080077176,0.0003704458,0.000091489834,0.00006373554,0.0000029987614],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019018938,0.00027953624,0.016599441,0.00003101369,6.176498e-7,0.0000086312775,0.00071315374,0.0000044657977,0.6669287,0.0003253915,0.00035088358,0.31473914],"study_design_scores_gemma":[0.0024526515,0.008658842,0.13295473,0.00051691546,0.0000825094,0.0011426957,0.0034167757,0.5259334,0.31699046,0.0034177015,0.002630611,0.0018027556],"about_ca_topic_score_codex":0.000022215505,"about_ca_topic_score_gemma":0.0000039845,"teacher_disagreement_score":0.5259289,"about_ca_system_score_codex":0.000007725616,"about_ca_system_score_gemma":0.00001196424,"threshold_uncertainty_score":0.2950477},"labels":[],"label_agreement":null},{"id":"W2054339565","doi":"10.1167/11.11.196","title":"Higher levels of alpha event-related desynchronization are associated with the attentional blink","year":2011,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Rapid serial visual presentation; Attentional blink; Cognition; Psychology; Anticipation (artificial intelligence); Stimulus (psychology); Cognitive psychology; Event-related potential; Audiology; Alpha (finance); Attentional control; Neuroscience; Developmental psychology; Computer science; Medicine; Artificial intelligence","score_opus":0.043520761542404224,"score_gpt":0.26913791376090385,"score_spread":0.22561715221849962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054339565","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99684125,0.00002822193,0.0014552235,0.00086602,0.0004442682,0.00007721275,0.000007574938,0.000008054059,0.00027219247],"genre_scores_gemma":[0.99920857,0.000012607138,0.000049006358,0.00017281335,0.000038483286,3.9308972e-7,0.0000011976058,0.000010248236,0.0005066752],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99889904,0.00014536397,0.00032465134,0.00010100772,0.0004301865,0.00009977728],"domain_scores_gemma":[0.99860823,0.00012694109,0.00088659243,0.00008425993,0.00025712192,0.00003682958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003534301,0.0000778244,0.00012902483,0.0000866062,0.000103122606,0.000018726161,0.00015010654,0.00005631738,0.00027618132],"category_scores_gemma":[0.00018063905,0.000042466487,0.00008142716,0.0003269552,0.00006697929,0.00027143743,0.000023614575,0.00018403764,0.000005430967],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044227348,0.00082665717,0.012631463,0.000018078155,0.00009100462,0.00008024311,0.00029243165,0.0012117602,0.97238773,0.002941001,0.002436078,0.0066412566],"study_design_scores_gemma":[0.0011017458,0.0009488016,0.9764623,0.00023781645,0.00005333569,0.000063668,0.0000243277,0.0033064077,0.016093468,0.0014599684,0.0001563437,0.00009182234],"about_ca_topic_score_codex":0.0000014316671,"about_ca_topic_score_gemma":0.0000025991174,"teacher_disagreement_score":0.9638308,"about_ca_system_score_codex":0.000044943117,"about_ca_system_score_gemma":0.000035487694,"threshold_uncertainty_score":0.3023992},"labels":[],"label_agreement":null},{"id":"W2054498032","doi":"10.1371/journal.pcbi.1003577","title":"A Unifying Mechanistic Model of Selective Attention in Spiking Neurons","year":2014,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Receptive field; Neuroscience; Macaque; Computer science; Arc (geometry); Biological neuron model; Laminar organization; Mechanism (biology); Neuron; Psychology; Physics","score_opus":0.05080325951655655,"score_gpt":0.2680673016375453,"score_spread":0.2172640421209887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054498032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8269704,0.0000010067199,0.17218275,0.00015901992,0.00008164876,0.00009440095,0.000009339097,0.0000227207,0.00047872597],"genre_scores_gemma":[0.9981709,0.0000011803528,0.0014458637,0.0003206281,0.000017403356,0.000007402515,0.000016118342,0.000006459232,0.00001400544],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999245,0.00014108839,0.00017521101,0.00023663216,0.00008053159,0.00012152699],"domain_scores_gemma":[0.9993525,0.00044330224,0.00009235319,0.00004933587,0.00004403076,0.000018437353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008816423,0.000067060224,0.00011331646,0.00013545249,0.00005215331,0.000006134749,0.00007571945,0.000038569986,0.0000033763783],"category_scores_gemma":[0.00034788175,0.00006480229,0.000027474103,0.00018873918,0.000044750563,0.000047136542,0.000035635872,0.0000959966,0.0000060072143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000151582035,0.000048006095,0.0007790379,0.000008100699,0.0000014951144,3.8753203e-7,0.000018295466,0.17888863,0.6545662,0.16509804,0.0000014145272,0.0005751911],"study_design_scores_gemma":[0.00016545875,0.00009896713,0.0022162125,0.000008259408,0.0000030589815,0.0000031086681,0.0000019118067,0.8240835,0.0056128725,0.16775472,0.0000021266326,0.000049814924],"about_ca_topic_score_codex":0.000006165776,"about_ca_topic_score_gemma":0.000005188384,"teacher_disagreement_score":0.6489534,"about_ca_system_score_codex":0.00002474258,"about_ca_system_score_gemma":0.000021154963,"threshold_uncertainty_score":0.2642561},"labels":[],"label_agreement":null},{"id":"W2054638608","doi":"10.1523/jneurosci.2928-12.2013","title":"Gating of Sensory Input by Spontaneous Cortical Activity","year":2013,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":175,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; National Institute of Mental Health; Hungarian Scientific Research Fund; Fondation pour la Recherche Médicale; National Institute on Deafness and Other Communication Disorders; Wellcome Trust; National Institutes of Health; National Science Foundation","keywords":"Neuroscience; Sensory system; Auditory cortex; Gating; Population; Wakefulness; Memory consolidation; Cortex (anatomy); Sensory gating; Psychology; Hippocampus; Electroencephalography; Medicine","score_opus":0.03142353048016652,"score_gpt":0.26420318952740157,"score_spread":0.23277965904723505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054638608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974645,0.000005153715,0.0007399719,0.00050789065,0.00080129737,0.00009365012,0.0000049851615,0.00001090882,0.00037168164],"genre_scores_gemma":[0.99846894,0.000027301883,0.00009592595,0.0009635477,0.000048791804,7.659996e-7,3.1472915e-8,0.00000859202,0.00038609785],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983736,0.0001751721,0.00038389015,0.00022210473,0.0006016707,0.00024352614],"domain_scores_gemma":[0.99859536,0.00047805693,0.0005181024,0.00014859425,0.000110226836,0.00014969104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025306657,0.000106950974,0.00020360036,0.00009522396,0.00013060699,0.00007194745,0.00034043353,0.0000369301,0.000024987721],"category_scores_gemma":[0.002364118,0.00008241984,0.00009009215,0.00032958752,0.00027472066,0.0005801365,0.000069558904,0.0003822425,0.000008353754],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024641684,0.000095423275,0.00021482313,0.0000065714707,3.4143545e-7,0.00015973416,0.000018360133,0.00009572844,0.9959701,0.00007431356,0.00021261656,0.003127404],"study_design_scores_gemma":[0.0003239226,0.0011130287,0.028862426,0.000033872344,0.00000956639,0.0065776017,0.00001945002,0.037277278,0.9245881,0.00032967367,0.0006905444,0.00017455292],"about_ca_topic_score_codex":0.000009531653,"about_ca_topic_score_gemma":5.1542463e-7,"teacher_disagreement_score":0.07138196,"about_ca_system_score_codex":0.000028964008,"about_ca_system_score_gemma":0.00005264428,"threshold_uncertainty_score":0.33609834},"labels":[],"label_agreement":null},{"id":"W2054655287","doi":"10.1016/j.neubiorev.2014.12.010","title":"Microstates in resting-state EEG: Current status and future directions","year":2014,"lang":"en","type":"review","venue":"Neuroscience & Biobehavioral Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":939,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"National Center for Research Resources; Canadian Institutes of Health Research; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Centre for Addiction and Mental Health","keywords":"Ministate; Electroencephalography; Neuroscience; Neurophysiology; Neuroimaging; Resting state fMRI; Psychology; Brain activity and meditation; Computer science","score_opus":0.11273340573455413,"score_gpt":0.3919712662583878,"score_spread":0.27923786052383365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054655287","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001814505,0.99156284,0.000006467561,0.000014272528,0.004123542,0.002161359,0.00014601643,0.00011643004,0.000054592438],"genre_scores_gemma":[0.00005221712,0.99880445,0.000040410112,0.00031768798,0.00018798397,0.00031317506,0.000024033741,0.00007535396,0.00018469765],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9942482,0.00079066196,0.001464995,0.001958556,0.0004740194,0.0010635784],"domain_scores_gemma":[0.9978185,0.000035497513,0.00096249144,0.00075032597,0.000039660226,0.00039350695],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007856859,0.00088267133,0.0020097934,0.00059691764,0.00042354484,0.00044927074,0.0006455017,0.00019061386,0.000018157822],"category_scores_gemma":[0.0008682503,0.00065079116,0.00044547365,0.002210122,0.0005008298,0.00042070754,0.00035446842,0.0012699106,0.00008260554],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000026562607,0.00009883184,0.000087143264,0.0019603912,2.1320794e-8,0.000017670947,0.000026313774,1.8960877e-7,0.0011272425,0.000049901282,0.00018672775,0.9964429],"study_design_scores_gemma":[0.00011845638,0.00015964433,0.00031279397,0.0032883761,0.00008825502,0.000101317215,0.0000022347872,0.000035092646,0.000006419946,0.000034589146,0.99523866,0.0006141464],"about_ca_topic_score_codex":0.000047841848,"about_ca_topic_score_gemma":0.000057449233,"teacher_disagreement_score":0.99582875,"about_ca_system_score_codex":0.00017870584,"about_ca_system_score_gemma":0.00019032047,"threshold_uncertainty_score":0.99959433},"labels":[],"label_agreement":null},{"id":"W2054656159","doi":"10.3389/fncir.2013.00066","title":"On the functional organization and operational principles of the motor cortex","year":2013,"lang":"en","type":"review","venue":"Frontiers in Neural Circuits","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Neuroscience; Motor cortex; Process (computing); Motor system; Computer science; Primary motor cortex; Motor control; Psychology; Stimulation","score_opus":0.05712311383804509,"score_gpt":0.2479584137140226,"score_spread":0.19083529987597753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054656159","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03640095,0.9352435,0.00057534926,0.001207867,0.016538383,0.0075454134,0.0005509429,0.000108629676,0.0018290017],"genre_scores_gemma":[0.036912266,0.9578569,0.0000130306535,0.0011167252,0.00025168693,0.00016459124,0.0000616022,0.00008053213,0.003542666],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99824876,0.0003388299,0.00042336606,0.00043344166,0.00038293604,0.00017264819],"domain_scores_gemma":[0.9988542,0.0004379658,0.00031298865,0.00029989445,0.000059029717,0.000035930447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013438571,0.00025241048,0.0004406999,0.00012490839,0.00022467838,0.00008204897,0.00036766406,0.00013851677,0.00007614868],"category_scores_gemma":[0.0010629582,0.00013155752,0.000116664596,0.00061073824,0.00018190802,0.00012925423,0.0001149246,0.00041546347,0.0000081750495],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017906226,0.0002484782,0.0018562773,0.0032174024,0.00007178356,0.00001107895,0.00011817475,0.000274413,0.004553998,0.10500549,0.01824354,0.86638147],"study_design_scores_gemma":[0.0011601053,0.00043265015,0.029711902,0.005001086,0.00043449318,0.00044336414,0.00005669543,0.0264439,0.0005007371,0.0035181786,0.9306,0.0016969041],"about_ca_topic_score_codex":0.0000026158584,"about_ca_topic_score_gemma":0.0000011140726,"teacher_disagreement_score":0.91235644,"about_ca_system_score_codex":0.00008276454,"about_ca_system_score_gemma":0.00010933824,"threshold_uncertainty_score":0.53647596},"labels":[],"label_agreement":null},{"id":"W2054914591","doi":"10.1167/7.10.12","title":"Peripheral vision: Good for biological motion, bad for signal noise segregation?","year":2007,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":93,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; McGill University","funders":"","keywords":"Biological motion; Peripheral vision; Motion (physics); Perception; Noise (video); Motion perception; Computer vision; SIGNAL (programming language); Artificial intelligence; Computer science; Structure from motion; Peripheral; Communication; Neuroscience; Psychology","score_opus":0.03082088930988142,"score_gpt":0.31872923870906555,"score_spread":0.28790834939918414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054914591","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75326544,0.00002824029,0.24377169,0.0013627667,0.001071229,0.00033488148,0.000014586677,0.000016907772,0.00013428243],"genre_scores_gemma":[0.9943716,0.000020407822,0.004139191,0.0006468236,0.0005546439,0.0000031547731,0.000004168603,0.000012711094,0.00024732488],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987554,0.000049594237,0.00049002474,0.00020431478,0.000279969,0.00022069358],"domain_scores_gemma":[0.9985766,0.0005932127,0.0003676718,0.00008482303,0.00026577763,0.00011192994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096724724,0.00011460606,0.00018085212,0.00011879962,0.00023412908,0.0000729394,0.00015914638,0.00009891245,0.00005202847],"category_scores_gemma":[0.0005023278,0.00007737424,0.00022967595,0.00015999464,0.00004683022,0.00033759646,0.00002378802,0.00014299495,0.000003217494],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010167023,0.00022682926,0.0003626156,0.000013186135,0.0000043895875,0.00001046359,0.000035931596,0.0003531054,0.9278442,0.004026907,0.0017128582,0.06439278],"study_design_scores_gemma":[0.014554668,0.037049312,0.1895874,0.00039538054,0.0001198174,0.0012857607,0.00023601284,0.17202295,0.38876858,0.08878758,0.106019154,0.0011734],"about_ca_topic_score_codex":5.0253345e-7,"about_ca_topic_score_gemma":0.0000012749895,"teacher_disagreement_score":0.5390757,"about_ca_system_score_codex":0.00006781856,"about_ca_system_score_gemma":0.00002630843,"threshold_uncertainty_score":0.31552303},"labels":[],"label_agreement":null},{"id":"W2055167345","doi":"10.1007/s11538-008-9328-z","title":"Robust Synchrony and Rhythmogenesis in Endocrine Neurons via Autocrine Regulations In Vitro and In Vivo","year":2008,"lang":"en","type":"article","venue":"Bulletin of Mathematical Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"In vivo; In vitro; Autocrine signalling; Biology; Endocrine system; Neuroscience; Cell biology; Computational biology; Computer science; Biotechnology; Cell culture; Biochemistry; Genetics; Hormone","score_opus":0.030577238639569227,"score_gpt":0.23877720739630087,"score_spread":0.20819996875673163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055167345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957061,0.00003687696,0.00029900708,0.0031521865,0.000031348725,0.00023191213,0.000010116419,0.000014128908,0.0005183138],"genre_scores_gemma":[0.9980301,0.00011845822,0.0014266098,0.0002067498,0.000010404751,0.00002590426,0.0000014111516,0.000008884585,0.0001714734],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998908,0.00013846274,0.0003621892,0.00031181678,0.000060139,0.00021941435],"domain_scores_gemma":[0.9990688,0.0006917367,0.00005974098,0.00012884523,0.000008981696,0.000041899613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001262936,0.00011216627,0.00028299424,0.00017609003,0.000031481395,0.000003841939,0.000064506174,0.000049061284,0.00015555172],"category_scores_gemma":[0.0006035871,0.000097118645,0.000020890064,0.00017245217,0.0002845473,0.000016048625,0.00009997604,0.00011650572,0.0000065342065],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015470634,0.00031998853,0.003508847,0.00010578188,0.0000016936222,0.00017392957,0.00007129259,0.00018180591,0.98441344,0.009570602,0.000099560384,0.0013983502],"study_design_scores_gemma":[0.009138233,0.0014589259,0.22749847,0.0003617878,0.00003490489,0.0075666844,0.00010102923,0.20787781,0.46198562,0.07358857,0.008896189,0.0014917592],"about_ca_topic_score_codex":0.00005644595,"about_ca_topic_score_gemma":0.000026209067,"teacher_disagreement_score":0.5224278,"about_ca_system_score_codex":0.000016694297,"about_ca_system_score_gemma":0.000008881861,"threshold_uncertainty_score":0.39603832},"labels":[],"label_agreement":null},{"id":"W2055186188","doi":"10.1080/0952813x.2010.535706","title":"Testing variation of attention capacities in a complex auto-adaptive system: a Stroop task simulation","year":2011,"lang":"en","type":"article","venue":"Journal of Experimental & Theoretical Artificial Intelligence","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Stroop effect; Computer science; Task (project management); Variation (astronomy); Cognition; Cognitive psychology; Artificial intelligence; Psychology","score_opus":0.15435785224986065,"score_gpt":0.3222387473193616,"score_spread":0.16788089506950093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055186188","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9053561,0.0000110872425,0.092577375,0.000020008809,0.00033682215,0.00019174826,0.000006888404,0.000016035452,0.0014839126],"genre_scores_gemma":[0.9978644,9.753666e-7,0.0020049145,0.000031793952,0.00007895003,0.0000039838524,7.4568317e-7,0.000011509507,0.0000027125002],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980281,0.00026062244,0.0009160642,0.00019713969,0.00040723247,0.0001908407],"domain_scores_gemma":[0.9986697,0.00043732574,0.0005350073,0.000100359764,0.00018942481,0.00006817094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004964931,0.00013561467,0.000253166,0.00018814036,0.000080939346,0.000030350442,0.00017873512,0.00006772153,0.00012556059],"category_scores_gemma":[0.00057132886,0.00011516719,0.000100114514,0.00033976018,0.00051669363,0.00031189402,0.00004464284,0.0002082579,0.000009672262],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033081404,0.00020238922,0.000035422647,0.000007642476,0.0000030857548,0.000012228014,0.0011776724,0.0013985842,0.5793427,0.4166165,2.2115505e-7,0.00087269227],"study_design_scores_gemma":[0.000063606814,0.00094831455,0.0009919595,0.00009404868,0.000012214048,0.00003707834,0.0031849875,0.46729028,0.48062846,0.046650793,4.6177126e-7,0.00009779912],"about_ca_topic_score_codex":0.000048346617,"about_ca_topic_score_gemma":0.0000019816064,"teacher_disagreement_score":0.4658917,"about_ca_system_score_codex":0.00014780283,"about_ca_system_score_gemma":0.000030679807,"threshold_uncertainty_score":0.46963817},"labels":[],"label_agreement":null},{"id":"W2055473086","doi":"10.1098/rstb.2007.2054","title":"Cortical mechanisms of action selection: the affordance competition hypothesis","year":2007,"lang":"en","type":"article","venue":"Philosophical Transactions of the Royal Society B Biological Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1110,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Action selection; Computer science; Variety (cybernetics); Neurophysiology; Neuroscience; Affordance; Action (physics); Process (computing); Selection (genetic algorithm); Sensory system; Posterior parietal cortex; Competition (biology); Cognitive science; Cognitive psychology; Prefrontal cortex; Psychology; Artificial intelligence; Cognition; Perception; Biology","score_opus":0.0971430233825118,"score_gpt":0.2852810837703516,"score_spread":0.1881380603878398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055473086","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71625185,0.000014959808,0.26978996,0.011797209,0.00061270344,0.00036813747,0.000023002302,0.000069214446,0.0010729324],"genre_scores_gemma":[0.9980333,0.000041659107,0.0011381698,0.0006411259,0.000088695844,0.000009288619,2.823219e-7,0.000004382984,0.00004312469],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982579,0.00022305109,0.0003693456,0.0003544328,0.0005110675,0.00028424308],"domain_scores_gemma":[0.99810773,0.0014203814,0.0001954512,0.00015657664,0.000058766473,0.000061116836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010354805,0.0001359685,0.00018603672,0.000021895285,0.0010977577,0.000022811908,0.00053226354,0.00014610784,0.00014062542],"category_scores_gemma":[0.00029996753,0.000065301894,0.0004227576,0.0009171748,0.0020554983,0.00008858272,0.000031642892,0.00038968946,0.0000037713485],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011618253,0.00038681453,0.00048453355,0.000018795516,0.000017601644,2.845431e-7,0.000051974315,0.0034017558,0.7809614,0.2099144,0.00001272649,0.0046335356],"study_design_scores_gemma":[0.0002600414,0.00089775375,0.01846507,0.000029514667,0.000045852263,0.000021795386,0.00018784805,0.03340842,0.60525525,0.34112018,0.00009787161,0.00021040594],"about_ca_topic_score_codex":0.00002499945,"about_ca_topic_score_gemma":0.000007756747,"teacher_disagreement_score":0.2817814,"about_ca_system_score_codex":0.000042650146,"about_ca_system_score_gemma":0.000027514643,"threshold_uncertainty_score":0.84431756},"labels":[],"label_agreement":null},{"id":"W2055562932","doi":"10.1016/j.neuroimage.2014.08.030","title":"Theta–gamma coupling reflects the interaction of bottom-up and top-down processes in speech perception in children","year":2014,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg","funders":"National Science Fund for Distinguished Young Scholars; National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Perception; Psychology; Speech perception; Lateralization of brain function; Facilitation; Cognitive psychology; Electroencephalography; Top-down and bottom-up design; Stimulus (psychology); Sensory system; Coupling (piping); Audiology; Speech recognition; Neuroscience; Computer science","score_opus":0.02226267974953884,"score_gpt":0.2776920487568716,"score_spread":0.25542936900733276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055562932","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99834204,0.0000065349905,0.000042165102,0.00046801285,0.00018670931,0.00025564534,0.000002191628,0.000023923974,0.0006728055],"genre_scores_gemma":[0.9993235,0.00010480922,0.000019619965,0.00036778912,0.000047168334,0.0000083018795,0.000002089485,0.000012780134,0.00011397046],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990595,0.00009596474,0.00020467944,0.00032689396,0.00015787246,0.00015508315],"domain_scores_gemma":[0.99944884,0.00023829988,0.00009749844,0.00017019904,0.000024236131,0.000020943105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002431003,0.000104148,0.00011981059,0.00012479839,0.000061361956,0.000055868528,0.00012632321,0.000037919643,0.000011148533],"category_scores_gemma":[0.000683979,0.000076583405,0.000020815607,0.00036268885,0.00006961557,0.00026840673,0.000053083975,0.00028548492,0.0000058601554],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006214782,0.000052874217,0.032689326,0.000035370922,5.699622e-7,0.000002393496,0.00026433243,0.0003055519,0.9578923,0.000099409735,0.000017112643,0.008578595],"study_design_scores_gemma":[0.0007692415,0.00029603767,0.81671494,0.00008511309,0.000008465399,0.00013295782,0.000097346274,0.055969328,0.12466793,0.0008958311,0.00016835293,0.00019444416],"about_ca_topic_score_codex":0.000086112785,"about_ca_topic_score_gemma":0.000093518785,"teacher_disagreement_score":0.83322436,"about_ca_system_score_codex":0.00001912816,"about_ca_system_score_gemma":0.000013342264,"threshold_uncertainty_score":0.31229806},"labels":[],"label_agreement":null},{"id":"W2055751060","doi":"10.1016/j.neuroscience.2003.11.003","title":"Synaptic responsiveness of neocortical neurons to callosal volleys during paroxysmal depolarizing shifts","year":2004,"lang":"en","type":"article","venue":"Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Institute of Neurological Disorders and Stroke","keywords":"Neuroscience; Excitatory postsynaptic potential; Neocortex; Depolarization; Postsynaptic potential; Bursting; Stimulation; Inhibitory postsynaptic potential; Electrophysiology; Biology; Biophysics","score_opus":0.028269625770715207,"score_gpt":0.2654347605117024,"score_spread":0.2371651347409872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055751060","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945154,0.0000038412113,0.002269802,0.0014422471,0.0011320697,0.00035780366,0.000012760615,0.00011331417,0.00015275013],"genre_scores_gemma":[0.9976976,0.0000058097835,0.00021286243,0.0018963586,0.00005161674,0.0000190812,2.858329e-7,0.000027020888,0.00008934557],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99723536,0.00015723909,0.0003956032,0.0009135375,0.00066293817,0.0006353106],"domain_scores_gemma":[0.99882346,0.00024340999,0.00011750311,0.00045742054,0.0000495839,0.0003085899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017840978,0.00022199431,0.00025275664,0.0002481704,0.00039917813,0.00010065087,0.00062348467,0.00006555832,0.000006361241],"category_scores_gemma":[0.0033209077,0.00020990169,0.00009702109,0.0012670157,0.0003465619,0.0003665113,0.00033050386,0.00023922374,0.00003222311],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013653807,0.000098899574,0.0017641297,0.000017818504,5.771895e-7,0.00022690555,0.00007230889,0.005838493,0.9871128,0.00456826,0.0000020775838,0.00016119919],"study_design_scores_gemma":[0.0006289179,0.0007322601,0.25652766,0.000055832963,0.0000129133605,0.00027925783,0.000017386928,0.0031761527,0.7373198,0.0007827611,0.000120976016,0.00034602376],"about_ca_topic_score_codex":0.000053271197,"about_ca_topic_score_gemma":0.000021190603,"teacher_disagreement_score":0.25476354,"about_ca_system_score_codex":0.000065278604,"about_ca_system_score_gemma":0.00015286308,"threshold_uncertainty_score":0.85595423},"labels":[],"label_agreement":null},{"id":"W2056057078","doi":"10.1016/s0925-2312(02)00844-5","title":"NNET: linking small- and large-scale network models","year":2003,"lang":"en","type":"article","venue":"Neurocomputing","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Computer science; Population; Electrical Synapses; Code (set theory); Neuroscience; Gap junction; Biology","score_opus":0.03203857338902219,"score_gpt":0.2288426993967197,"score_spread":0.1968041260076975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056057078","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94561464,0.000048005615,0.044897854,0.00011931087,0.00072478544,0.00019429887,0.0000013800668,0.00016881517,0.008230928],"genre_scores_gemma":[0.99457765,0.000020212992,0.0023056592,0.0026902463,0.00021380986,0.0000029934267,8.23389e-7,0.000028442035,0.00016018518],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985574,0.00015033696,0.00019637498,0.00050140725,0.00013835829,0.0004561457],"domain_scores_gemma":[0.9993838,0.0002689229,0.00008588418,0.00016024266,0.000016673906,0.00008448351],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024802526,0.00014686988,0.0001377857,0.00004114226,0.00044843723,0.0001163377,0.00011248815,0.00005322822,0.0000054927777],"category_scores_gemma":[0.00008232597,0.00014299576,0.000043870426,0.00025524135,0.000028638786,0.000114952854,0.00010678762,0.00025695894,0.000008110009],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047473528,0.00022594954,0.012006961,0.00013891284,0.000009739747,0.0001761614,0.0011367719,0.5633492,0.21009786,0.15219381,0.0004878146,0.06012933],"study_design_scores_gemma":[0.00039282363,0.00007103008,0.0006657325,0.00004050656,0.0000071243667,0.000115396804,0.00001720274,0.9713396,0.00367133,0.0148617085,0.008581291,0.00023627456],"about_ca_topic_score_codex":0.0000017577944,"about_ca_topic_score_gemma":0.0000048532165,"teacher_disagreement_score":0.40799037,"about_ca_system_score_codex":0.000009919997,"about_ca_system_score_gemma":0.000011309844,"threshold_uncertainty_score":0.5831198},"labels":[],"label_agreement":null},{"id":"W2056091956","doi":"10.1007/s10548-009-0080-y","title":"The Gamma Oscillation: Master or Slave?","year":2009,"lang":"en","type":"article","venue":"Brain Topography","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":142,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Columbia College","funders":"National Institute on Deafness and Other Communication Disorders; National Institute of Mental Health","keywords":"Rhythm; Oscillation (cell signaling); Neuroscience; Amplitude; Electroencephalography; Task (project management); Computer science; Vigilance (psychology); Physics; Control theory (sociology); Psychology; Control (management); Biology; Artificial intelligence; Engineering; Acoustics","score_opus":0.03428716477187725,"score_gpt":0.2579903817681091,"score_spread":0.22370321699623186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056091956","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8390386,0.00016972431,0.0016401454,0.10709701,0.002419889,0.00094318396,0.000019285035,0.00049007573,0.04818205],"genre_scores_gemma":[0.97964734,0.00007419746,0.00009078832,0.012387164,0.00022135921,0.000008666494,0.000001772681,0.000010724675,0.007557995],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988874,0.00009471937,0.00017700373,0.00030833963,0.000255233,0.00027728008],"domain_scores_gemma":[0.9990774,0.00045831822,0.000068539106,0.000307407,0.00002323732,0.00006510907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017437105,0.0001250984,0.000086017586,0.00009558746,0.00045196307,0.00018292875,0.00022834908,0.000047082554,0.000076279415],"category_scores_gemma":[0.00025768924,0.00007180146,0.00012186942,0.00068127946,0.00010394608,0.00014375945,0.000024443232,0.00011945138,0.0000507003],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005755957,0.00016683614,0.0030818018,0.0000128321635,0.000014782095,0.00009969357,0.0002986206,0.00007835873,0.30660963,0.15584755,0.07328688,0.4599274],"study_design_scores_gemma":[0.0008468461,0.0008153442,0.06471188,0.000020927037,0.000011731318,0.00010517185,0.000065938926,0.003747246,0.010755489,0.04461487,0.87382865,0.00047589268],"about_ca_topic_score_codex":0.0000017489854,"about_ca_topic_score_gemma":0.000011900865,"teacher_disagreement_score":0.80054176,"about_ca_system_score_codex":0.000008787213,"about_ca_system_score_gemma":0.000013324855,"threshold_uncertainty_score":0.347618},"labels":[],"label_agreement":null},{"id":"W2056168842","doi":"10.1038/nrn1345","title":"Look away: the anti-saccade task and the voluntary control of eye movement","year":2004,"lang":"en","type":"review","venue":"Nature reviews. Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1442,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials; Western University; Queen's University","funders":"","keywords":"Saccade; Superior colliculus; Eye movement; Neuroscience; Task (project management); Supplementary eye field; Psychology; Antisaccade task; Neurophysiology; Basal ganglia; Cognitive psychology; Central nervous system","score_opus":0.025075638225019962,"score_gpt":0.31011508950444394,"score_spread":0.285039451279424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056168842","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000024992862,0.9916959,0.00020478765,0.0013965262,0.0020271554,0.004316181,0.0001286829,0.00003812983,0.00016768165],"genre_scores_gemma":[0.001915645,0.98458517,0.000012189578,0.0127487155,0.00016545225,0.0001890916,0.000004041422,0.000045991146,0.00033369678],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99448466,0.0014239361,0.001221851,0.0013527038,0.0009435374,0.0005733052],"domain_scores_gemma":[0.9959912,0.0011496403,0.001428318,0.0012439233,0.00005806322,0.00012888663],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0019339799,0.0007133243,0.0021977532,0.00015578834,0.00057371415,0.00019914017,0.0020003486,0.0003644419,0.000010650424],"category_scores_gemma":[0.002394595,0.000310085,0.0008256677,0.001363611,0.0017825927,0.00024394704,0.0004139839,0.0023870782,0.000025221458],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031330695,0.00014204018,0.000011946723,0.014076224,0.0000145155145,0.000046984125,0.000046771616,0.000022948278,0.0033167505,0.024441432,0.000835054,0.957014],"study_design_scores_gemma":[0.0005091162,0.00008560327,0.000046416782,0.0044644712,0.00037703788,0.00010746039,0.0000015694276,0.00025841678,0.000050210365,0.00054391293,0.99322975,0.00032604177],"about_ca_topic_score_codex":0.0000151164095,"about_ca_topic_score_gemma":0.0000031383845,"teacher_disagreement_score":0.9923947,"about_ca_system_score_codex":0.00008356656,"about_ca_system_score_gemma":0.00028872836,"threshold_uncertainty_score":0.99993515},"labels":[],"label_agreement":null},{"id":"W2056220030","doi":"10.1103/physreve.85.041921","title":"Quantifying impacts of short-term plasticity on neuronal information transfer","year":2012,"lang":"en","type":"article","venue":"Physical Review E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Neocortex; Neuroscience; Information transfer; Facilitation; Computer science; Synaptic plasticity; Information transmission; Neuroplasticity; Plasticity; Term (time); Biology; Physics; Computer network; Telecommunications","score_opus":0.07960251469919986,"score_gpt":0.33648521357290895,"score_spread":0.25688269887370907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056220030","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983513,0.00008170482,0.00031545587,0.00012735811,0.00016491696,0.00020056312,0.000016380442,0.000021018188,0.00072130904],"genre_scores_gemma":[0.997582,0.0008698263,0.0000034759903,0.0014424835,0.00008328379,0.0000072018474,0.000004401417,0.0000054520906,0.0000018548129],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992014,0.000060536386,0.00020247087,0.00009288174,0.0002586835,0.00018401213],"domain_scores_gemma":[0.9995303,0.0002349231,0.000038350685,0.00009407051,0.000017804128,0.000084550265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008475262,0.000096852535,0.00019308893,0.000026212949,0.000039923347,0.000011540709,0.00007503894,0.0000124950975,0.000019587866],"category_scores_gemma":[0.00036854378,0.00006986086,0.00010888384,0.00015384279,0.000030559604,0.0005315591,0.000016341399,0.00012500015,0.00008932875],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044340057,0.000326986,0.0010355025,0.0014318238,0.0000032872517,4.6402377e-7,0.00009251223,0.000020468033,0.92948043,0.036703967,0.00014029535,0.03071989],"study_design_scores_gemma":[0.00055628474,0.0010536334,0.24933448,0.0029964454,0.00016370733,0.000020822066,0.0000049955524,0.011236643,0.72430485,0.00050416216,0.009147391,0.0006765729],"about_ca_topic_score_codex":0.0000014358405,"about_ca_topic_score_gemma":3.2523977e-7,"teacher_disagreement_score":0.24829899,"about_ca_system_score_codex":0.000012501819,"about_ca_system_score_gemma":0.00000798687,"threshold_uncertainty_score":0.2848843},"labels":[],"label_agreement":null},{"id":"W2056404528","doi":"10.1016/j.neuroscience.2009.01.036","title":"Architectonic mapping of the medial region of the human orbitofrontal cortex by density profiles","year":2009,"lang":"en","type":"article","venue":"Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University","funders":"","keywords":"Orbitofrontal cortex; Cortex (anatomy); Frontal cortex; Neuroscience; Preprocessor; Temporal cortex; Human brain; Anatomy; Sampling (signal processing); Cerebral cortex; Pattern recognition (psychology); Computer science; Artificial intelligence; Biology; Computer vision; Prefrontal cortex; Filter (signal processing)","score_opus":0.02624538170708375,"score_gpt":0.23957082721954334,"score_spread":0.21332544551245958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056404528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970499,0.0000040440646,0.000089859604,0.0010251086,0.0010007154,0.00028865424,0.000009137911,0.000021812633,0.00051075657],"genre_scores_gemma":[0.99834013,0.0000054866673,0.0000061664196,0.0012739424,0.000031308587,0.0000021604906,2.321593e-7,0.0000053132662,0.00033524452],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998454,0.00015803166,0.00023625861,0.0003818559,0.0005439847,0.0002259065],"domain_scores_gemma":[0.9991444,0.00007462441,0.0002742851,0.00043984054,0.00002793448,0.000038924853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012364436,0.00011129059,0.00012829856,0.000039941155,0.00038215556,0.000024012395,0.0008186498,0.00003453575,0.0000022484264],"category_scores_gemma":[0.00049564836,0.00006400482,0.00010341236,0.0006285439,0.0006884488,0.00011136519,0.00016531415,0.00022302012,6.0200813e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000594556,0.000049395047,0.0038747387,0.0000050129356,1.0154598e-7,0.0000019059441,0.00006216262,0.000020264659,0.9941022,0.0011335709,0.00020260987,0.0005421054],"study_design_scores_gemma":[0.00011753433,0.0001252166,0.33651564,0.000024378787,0.00000311676,0.00005330427,0.000007076303,0.0012148566,0.6608695,0.00079459127,0.00020656885,0.0000682656],"about_ca_topic_score_codex":0.000019962199,"about_ca_topic_score_gemma":0.000009608234,"teacher_disagreement_score":0.33323273,"about_ca_system_score_codex":0.000020361433,"about_ca_system_score_gemma":0.00004763069,"threshold_uncertainty_score":0.29392704},"labels":[],"label_agreement":null},{"id":"W2056583019","doi":"10.1109/jstsp.2013.2260320","title":"Riemannian Distances for Signal Classification by Power Spectral Density","year":2013,"lang":"en","type":"article","venue":"IEEE Journal of Selected Topics in Signal Processing","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Euclidean distance; Spectral density; SIGNAL (programming language); Manifold (fluid mechanics); Weighting; Pattern recognition (psychology); Metric (unit); Distance measures; Artificial intelligence; Mathematics; Feature (linguistics); Measure (data warehouse); Euclidean space; Statistical manifold; Distance matrix; Similarity (geometry); Nonlinear dimensionality reduction; Computer science; Information geometry; Algorithm; Data mining; Dimensionality reduction; Mathematical analysis; Statistics; Physics","score_opus":0.025259284821897102,"score_gpt":0.2642646342709925,"score_spread":0.2390053494490954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056583019","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95195216,0.0000891539,0.04598802,0.0011694356,0.0002758933,0.00023113065,0.000004039641,0.000019356497,0.0002708112],"genre_scores_gemma":[0.9983448,0.0000148029185,0.0007658872,0.00029370017,0.00030936295,0.000007241746,0.0000015798416,0.000015335265,0.0002473333],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985576,0.000075394746,0.0005144343,0.00023254463,0.00032947492,0.0002904988],"domain_scores_gemma":[0.998835,0.00014935073,0.00047242932,0.000061028964,0.00039650616,0.00008566421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002167075,0.00014297287,0.00021739288,0.00013325483,0.00019333641,0.0002027535,0.00021506943,0.00008756536,0.00004095571],"category_scores_gemma":[0.00013581374,0.00012001374,0.00006565079,0.00045523525,0.00007682126,0.0007169346,0.000008062158,0.00037870405,0.000002678892],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009434328,0.00011549582,0.001137486,0.000035128407,0.0000038492735,0.0000073080696,0.00013951602,0.00009365408,0.980874,0.00020283551,0.0011000093,0.016196363],"study_design_scores_gemma":[0.0017122043,0.0011658996,0.021252677,0.00027977754,0.00003784645,0.00022174371,0.00021342954,0.08489751,0.8608368,0.026636645,0.0021746191,0.0005708435],"about_ca_topic_score_codex":0.000005771435,"about_ca_topic_score_gemma":0.000008000853,"teacher_disagreement_score":0.12003721,"about_ca_system_score_codex":0.00012124065,"about_ca_system_score_gemma":0.0001234618,"threshold_uncertainty_score":0.48940185},"labels":[],"label_agreement":null},{"id":"W2056894335","doi":"10.1016/s0896-6273(02)00584-6","title":"Dissociations within Association Cortex","year":2002,"lang":"en","type":"letter","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Neuroscience; Posterior parietal cortex; Parietal lobe; Psychology; Neuron; Cortex (anatomy); Association (psychology); Mirror neuron; Cognition","score_opus":0.026998410800061982,"score_gpt":0.23307055346179956,"score_spread":0.20607214266173757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056894335","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032317255,0.000012763293,0.00002918899,0.9362988,0.009132442,0.00062519213,0.00032065104,0.00051126577,0.020752465],"genre_scores_gemma":[0.029832993,0.000066659144,0.000009503582,0.83096534,0.002974771,0.000036656194,0.00015201501,0.000096594194,0.13586548],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974985,0.00028336892,0.00033667585,0.0006769386,0.00078552926,0.00041896637],"domain_scores_gemma":[0.9983502,0.0006208269,0.0005939787,0.00034144951,0.000050118502,0.00004339538],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000103385806,0.0002782787,0.00026036397,0.00013338872,0.00025401238,0.00018140649,0.00028459844,0.0006141535,0.00025933492],"category_scores_gemma":[0.0012080949,0.00027576552,0.00016363284,0.00030573492,0.000027271053,0.00016548297,0.000057371977,0.0019358372,0.0007780437],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020015411,0.000024741928,0.00022689339,0.000016719143,0.0000047445055,0.0001178466,0.000030896135,0.000012808236,0.012504642,0.00012072177,0.9866828,0.00025520325],"study_design_scores_gemma":[0.00020411877,0.000113369475,0.003328935,0.000019359384,0.000054576714,0.000018710367,0.0000013027317,0.0039103813,0.00076957437,0.00064196734,0.9905446,0.00039310253],"about_ca_topic_score_codex":0.000013213761,"about_ca_topic_score_gemma":0.000006622158,"teacher_disagreement_score":0.11511301,"about_ca_system_score_codex":0.00033228463,"about_ca_system_score_gemma":0.000024729443,"threshold_uncertainty_score":0.99999994},"labels":[],"label_agreement":null},{"id":"W2057179329","doi":"10.1523/jneurosci.3995-09.2010","title":"Gain Control in CA1 Pyramidal Cells Using Changes in Somatic Conductance","year":2010,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Mental Health; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Conductance; Depolarization; Membrane potential; Tonic (physiology); Automatic gain control; Neuroscience; Biophysics; Adaptation (eye); Noise (video); Physics; Biological system; Chemistry; Biology; Condensed matter physics; Optoelectronics; Computer science; Amplifier; Artificial intelligence","score_opus":0.04178627693473231,"score_gpt":0.2799900332928387,"score_spread":0.23820375635810642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057179329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99538887,0.000007026362,0.00031491654,0.0011722109,0.0028990651,0.00014900877,0.000004312713,0.000007722612,0.00005686069],"genre_scores_gemma":[0.997216,0.000023326671,0.00014780878,0.00246475,0.0000925096,0.0000014464289,2.251784e-8,0.000010999625,0.000043158307],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983128,0.00014484361,0.00043953685,0.00028717305,0.00045679382,0.000358855],"domain_scores_gemma":[0.99900144,0.00027145102,0.00040652,0.00016681568,0.00004635357,0.00010742295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063254987,0.00013506881,0.00025367926,0.00038401684,0.00008035403,0.00010028938,0.0004651301,0.000055101853,0.0000093584495],"category_scores_gemma":[0.0011157468,0.00011186975,0.00005085838,0.00076778606,0.00023909983,0.0005306128,0.000041178784,0.0006778828,0.0000024213846],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023445442,0.00007849973,0.0020770223,0.000007749433,1.2220399e-7,0.00028332756,0.00006046164,0.0018333871,0.99520344,0.00015391648,0.000008531754,0.0002701223],"study_design_scores_gemma":[0.0014921243,0.000338143,0.027761744,0.00008675851,0.000005607412,0.001008379,0.000043484277,0.33688644,0.6306402,0.0011295477,0.0003534846,0.0002540846],"about_ca_topic_score_codex":0.000016077627,"about_ca_topic_score_gemma":0.00019290691,"teacher_disagreement_score":0.3645632,"about_ca_system_score_codex":0.000048198715,"about_ca_system_score_gemma":0.000101861486,"threshold_uncertainty_score":0.4561916},"labels":[],"label_agreement":null},{"id":"W2057350113","doi":"10.1016/j.neuroimage.2011.09.051","title":"Morphology-based hypothesis testing in discrete random fields: A non-parametric method to address the multiple-comparison problem in neuroimaging","year":2011,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"","keywords":"Permutation (music); Computer science; Voxel; Statistical power; Neuroimaging; Parametric statistics; Multiple comparisons problem; Random permutation; False discovery rate; Statistical parametric mapping; Statistical hypothesis testing; Pattern recognition (psychology); Artificial intelligence; Algorithm; Mathematics; Statistics; Magnetic resonance imaging; Psychology","score_opus":0.10767177821419324,"score_gpt":0.3078810361634251,"score_spread":0.20020925794923186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057350113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9802399,0.0000061214237,0.013596387,0.0013898932,0.0002651475,0.0014776156,0.000012314372,0.0001134247,0.002899194],"genre_scores_gemma":[0.97412044,0.0000017107344,0.021713652,0.0038515155,0.000030048925,0.00017747247,7.558563e-7,0.0000471715,0.000057252942],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967848,0.00083411793,0.00056806905,0.000912366,0.00028972252,0.00061091507],"domain_scores_gemma":[0.9928374,0.0063081565,0.00018916656,0.00052920746,0.000033890312,0.00010215842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078613876,0.00029396653,0.0003996888,0.0006261078,0.00015225759,0.00010125956,0.0006260578,0.00007466696,0.000024364203],"category_scores_gemma":[0.006845052,0.00022475143,0.0000995817,0.0023212263,0.000082300416,0.00021167516,0.0001809759,0.00073126453,0.000031488227],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00079386256,0.0003647587,0.11795821,0.000054110238,0.0000023808009,0.0005510978,0.0006154782,0.017689327,0.8433127,0.000028628087,0.00020641758,0.018423026],"study_design_scores_gemma":[0.0032017112,0.00037600548,0.3432982,0.00007882932,0.000017997225,0.000054325235,0.00004707911,0.54583085,0.105853684,0.0006541173,0.00014683914,0.00044035725],"about_ca_topic_score_codex":0.0007283112,"about_ca_topic_score_gemma":0.00014282686,"teacher_disagreement_score":0.737459,"about_ca_system_score_codex":0.000038127822,"about_ca_system_score_gemma":0.00003507679,"threshold_uncertainty_score":0.91650975},"labels":[],"label_agreement":null},{"id":"W2057581682","doi":"10.1016/j.heares.2010.05.016","title":"Passive exposure of adult cats to moderate-level tone pip ensembles differentially decreases AI and AII responsiveness in the exposure frequency range","year":2010,"lang":"en","type":"article","venue":"Hearing Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Luonnontieteiden ja Tekniikan Tutkimuksen Toimikunta; Alberta Heritage Foundation for Medical Research","keywords":"Tonotopy; Stimulus (psychology); Auditory cortex; Audiology; CATS; Medicine; Psychology; Internal medicine","score_opus":0.10084727284439467,"score_gpt":0.3669908033776758,"score_spread":0.26614353053328116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057581682","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99573267,0.000025607085,0.0001222484,0.0032112773,0.0001472008,0.0005678209,0.00002854267,0.000016785485,0.00014783972],"genre_scores_gemma":[0.9989369,0.000052213865,0.000099577046,0.00046167918,0.00006806539,0.00010104545,0.0000027184647,0.00001973508,0.00025807807],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9973571,0.0006986514,0.00025607325,0.00048424184,0.00074555125,0.00045840224],"domain_scores_gemma":[0.9976358,0.0013981996,0.0000417999,0.00043862895,0.00035132637,0.00013425776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007681821,0.00014279115,0.00020332771,0.00030959863,0.00032206276,0.00016217683,0.0003574926,0.00011050889,0.000021722997],"category_scores_gemma":[0.0033683532,0.00010222282,0.000039162867,0.00056799257,0.00020259843,0.00015914207,0.00019619713,0.0007664423,0.0000067741075],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052641047,0.00012842879,0.018911852,0.000060155908,0.000002412649,0.000073051546,0.0010569812,0.000019862684,0.9686374,0.005532413,0.000060940554,0.0049900822],"study_design_scores_gemma":[0.0010168316,0.000823763,0.6233903,0.00017872095,0.000005934597,0.00009106761,0.00035430063,0.0013711719,0.36750606,0.004972132,0.000043549215,0.0002461696],"about_ca_topic_score_codex":0.0014374517,"about_ca_topic_score_gemma":0.0025842283,"teacher_disagreement_score":0.6044785,"about_ca_system_score_codex":0.000026756705,"about_ca_system_score_gemma":0.0001280638,"threshold_uncertainty_score":0.41685256},"labels":[],"label_agreement":null},{"id":"W2057657819","doi":"10.1167/14.1.12","title":"Catch-up saccades in head-unrestrained conditions reveal that saccade amplitude is corrected using an internal model of target movement","year":2014,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"National Eye Institute; National Institutes of Health","keywords":"Saccade; Movement (music); Amplitude; Head (geology); Geodesy; Physics; Geology; Optics; Computer science; Eye movement; Artificial intelligence; Acoustics","score_opus":0.06593585913344255,"score_gpt":0.3412904805215688,"score_spread":0.2753546213881263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057657819","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9803001,0.000008225133,0.018535618,0.00037901403,0.0005600016,0.00010655701,0.00003600772,0.000008740625,0.00006571216],"genre_scores_gemma":[0.99708426,0.0000253939,0.0014930773,0.0012201366,0.00008261594,7.6928006e-7,0.0000035148971,0.00001543136,0.000074774],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983554,0.0001750273,0.00060252816,0.00020961645,0.0004537945,0.00020366313],"domain_scores_gemma":[0.99888283,0.00014221674,0.0005959811,0.0001556174,0.00010303522,0.000120333774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046701045,0.00013827303,0.00028499417,0.00028328312,0.00008124297,0.000055102042,0.00024391164,0.000074195865,0.000030088477],"category_scores_gemma":[0.0002170819,0.000113748436,0.0001113172,0.00018553183,0.000060678536,0.0005271564,0.00005275735,0.00033847088,0.0000011497964],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017229158,0.00021422503,0.0017824951,0.000014582525,0.0000040941945,0.0000064006513,0.0002812887,0.03435387,0.96168196,0.00019400606,0.00020481949,0.0010899353],"study_design_scores_gemma":[0.0011514392,0.0007106942,0.030431503,0.00032087218,0.000015032467,0.000047785816,0.00008812525,0.8046433,0.15433115,0.008068829,0.00004032829,0.00015097385],"about_ca_topic_score_codex":0.00005753836,"about_ca_topic_score_gemma":0.00001670454,"teacher_disagreement_score":0.8073508,"about_ca_system_score_codex":0.00010698807,"about_ca_system_score_gemma":0.00005971631,"threshold_uncertainty_score":0.46385264},"labels":[],"label_agreement":null},{"id":"W2057916259","doi":"10.1371/journal.pone.0099681","title":"Attentional Modulation and Selection – An Integrated Approach","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Visual cortex; Stimulus (psychology); Neuroscience; Computer science; Modulation (music); Selection (genetic algorithm); Mechanism (biology); Selective attention; Neural activity; Neuron; Artificial intelligence; Psychology; Cognitive psychology; Physics; Cognition","score_opus":0.06127066385732395,"score_gpt":0.22411472134549268,"score_spread":0.16284405748816871,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057916259","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98388803,6.704203e-7,0.01490386,0.00011783009,0.000026001826,0.00010565628,0.0000026161092,0.00007696629,0.0008783768],"genre_scores_gemma":[0.9969095,0.0000030971871,0.0022625837,0.00018793448,0.00007437148,0.000009702811,0.000024240253,0.000007763046,0.000520815],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993718,0.0000779973,0.00007502987,0.00022909226,0.00016389567,0.000082150465],"domain_scores_gemma":[0.9998139,0.000029361343,0.00003350558,0.000050803308,0.000034388017,0.000037999445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009173301,0.00005605921,0.00006211941,0.00005039352,0.00010733555,0.00004585243,0.00003438661,0.00003293242,0.000017604832],"category_scores_gemma":[0.000117739604,0.000050366983,0.000010247626,0.00013917818,0.000024678844,0.0002081449,0.00001100781,0.00007788632,0.000009286628],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015173695,0.00036344043,0.0017176826,0.000011417454,0.000002936287,4.5662848e-8,0.000011270484,0.0001543171,0.9896144,0.00466433,0.000008357237,0.0034366134],"study_design_scores_gemma":[0.00015548526,0.00013754188,0.02674839,0.0000075928815,0.00001017632,0.0000030425294,0.0000035135247,0.936006,0.035393644,0.0014201115,0.000043961554,0.000070520495],"about_ca_topic_score_codex":0.000008688015,"about_ca_topic_score_gemma":0.0000037332454,"teacher_disagreement_score":0.9542208,"about_ca_system_score_codex":0.0000145432095,"about_ca_system_score_gemma":0.000004124636,"threshold_uncertainty_score":0.20539059},"labels":[],"label_agreement":null},{"id":"W2058032781","doi":"10.1371/journal.pone.0095454","title":"Asymmetry in Signal Propagation between the Soma and Dendrites Plays a Key Role in Determining Dendritic Excitability in Motoneurons","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Institute of Neurological Disorders and Stroke; National Institutes of Health; Natural Sciences and Engineering Research Council of Canada; Daegu Gyeongbuk Institute of Science and Technology; Ministry of Science, ICT and Future Planning","keywords":"Soma; Dendrite (mathematics); Dendritic spike; Asymmetry; Electrophysiology; Neuroscience; SIGNAL (programming language); Physics; Biology; Biophysics; Computer science; Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Geometry","score_opus":0.037023397333989516,"score_gpt":0.2269863218969138,"score_spread":0.1899629245629243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058032781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989462,0.000011497393,0.000051373143,0.000359768,0.000019339686,0.00039367066,0.000005438078,0.000021514019,0.00019122961],"genre_scores_gemma":[0.9996162,0.0000059694657,0.00008571954,0.00017541989,0.00003905211,0.000051575065,0.0000020653358,0.000012368896,0.000011645278],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985243,0.0003545826,0.00027448995,0.00036767844,0.00022731716,0.00025162866],"domain_scores_gemma":[0.9986664,0.0010666407,0.00005689616,0.00015718491,0.000012317304,0.00004057305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004219108,0.00011013595,0.00018986462,0.0001710658,0.000071366834,0.00005285568,0.00013381118,0.00005668019,0.0000046531222],"category_scores_gemma":[0.0011160049,0.000092854076,0.000016905311,0.0003595004,0.0000832644,0.00021312245,0.000077987155,0.00030751288,0.0000049190894],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015074047,0.0002482705,0.5620072,0.00004054823,0.0000011286716,0.0000070321817,0.00022312957,0.000045051307,0.43536448,0.00014436753,1.7735407e-7,0.0019035448],"study_design_scores_gemma":[0.00047140868,0.00017213663,0.7512416,0.00012441995,0.000008626749,0.0000040332275,0.000045137214,0.17555675,0.069022305,0.0032251554,0.0000013627948,0.00012702169],"about_ca_topic_score_codex":0.000054723256,"about_ca_topic_score_gemma":0.0003320966,"teacher_disagreement_score":0.3663422,"about_ca_system_score_codex":0.000046901503,"about_ca_system_score_gemma":0.000014890806,"threshold_uncertainty_score":0.37864792},"labels":[],"label_agreement":null},{"id":"W2058349632","doi":"10.1103/physreve.73.021910","title":"Lag synchrony measures dynamical processes underlying progression of seizure states","year":2006,"lang":"en","type":"article","venue":"Physical Review E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Western Hospital; University of Toronto","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of General Medical Sciences; National Institute on Deafness and Other Communication Disorders","keywords":"Bursting; Statistical physics; Lag; Computer science; Dynamics (music); Disjoint sets; Physics; Homogeneous; Entropy (arrow of time); Neuroscience; Mathematics; Biology; Mathematical analysis","score_opus":0.043236416127845616,"score_gpt":0.34081175346526665,"score_spread":0.29757533733742103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058349632","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.980971,0.01121402,0.0013392012,0.0022665397,0.00017883649,0.0011057806,0.00003876227,0.00020257561,0.0026832863],"genre_scores_gemma":[0.99602515,0.003352182,0.00004735399,0.00037897972,0.00006983958,0.00003349666,0.000012995581,0.000016226177,0.000063785345],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987023,0.00010216513,0.00025439906,0.0003187334,0.0004175137,0.00020489584],"domain_scores_gemma":[0.9992709,0.0002674997,0.00016204454,0.0001695385,0.00008350982,0.000046494002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010470645,0.0001464662,0.00031452876,0.00002467375,0.00007848537,0.000024272136,0.00014502506,0.000021865684,0.000012473801],"category_scores_gemma":[0.00049124437,0.00009994877,0.000099567485,0.00041874568,0.0001048887,0.00014701593,0.00004915256,0.0001336125,0.000020426249],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040068895,0.0010180422,0.00030795738,0.01048652,0.000008226948,0.000019228015,0.00003514071,0.00030389533,0.85495317,0.019786477,0.0014959874,0.111545265],"study_design_scores_gemma":[0.0017284516,0.0022087137,0.006285718,0.029314315,0.0005143193,0.000119773926,0.000039101316,0.14041434,0.5392891,0.22514682,0.052634947,0.0023043775],"about_ca_topic_score_codex":0.000012581623,"about_ca_topic_score_gemma":0.000008036008,"teacher_disagreement_score":0.31566408,"about_ca_system_score_codex":0.00002514861,"about_ca_system_score_gemma":0.000042379208,"threshold_uncertainty_score":0.40757924},"labels":[],"label_agreement":null},{"id":"W2058504214","doi":"10.1007/s00359-006-0129-2","title":"Temperature-sensitive gating in a descending visual interneuron, DCMD","year":2006,"lang":"en","type":"article","venue":"Journal of Comparative Physiology A","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Interneuron; Neuroscience; Locust; Biology; Chemistry; Biophysics; Inhibitory postsynaptic potential","score_opus":0.03177567823615392,"score_gpt":0.3152472288038687,"score_spread":0.2834715505677148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058504214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99856836,0.000014592175,0.00012634978,0.00015332091,0.00041808773,0.00008736634,0.0000016519188,0.000008290232,0.00062201207],"genre_scores_gemma":[0.99924195,0.000004401099,0.000078889185,0.0003548909,0.00024927506,0.0000016413237,9.842955e-7,0.000006989436,0.000060954626],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986886,0.0003870716,0.00040757694,0.00018615992,0.0001332463,0.00019734935],"domain_scores_gemma":[0.9990095,0.00042141386,0.000398518,0.000052859592,0.000085051804,0.00003269406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015120929,0.0001321056,0.00033885814,0.00018429047,0.00007443109,0.000026769114,0.000115837865,0.000046754994,0.000009659906],"category_scores_gemma":[0.00009783647,0.00010196924,0.00008913929,0.00024869156,0.00011285857,0.00022669928,0.000038737482,0.00047837544,0.00001028487],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025676464,0.00012190308,0.0008636105,0.0000038564876,0.000004089338,0.00006469327,0.000194124,0.0018136591,0.99486506,0.0015820315,0.00018407512,0.000046134683],"study_design_scores_gemma":[0.00093514414,0.00069680205,0.17198972,0.00010011059,0.000007910857,0.00027574744,0.00019615506,0.012688182,0.80898106,0.0038222964,0.00013654368,0.00017033334],"about_ca_topic_score_codex":0.00000766989,"about_ca_topic_score_gemma":0.00001543034,"teacher_disagreement_score":0.18588401,"about_ca_system_score_codex":0.000057943533,"about_ca_system_score_gemma":0.00003017793,"threshold_uncertainty_score":0.4158185},"labels":[],"label_agreement":null},{"id":"W2058538079","doi":"10.1186/1471-2202-13-s1-o5","title":"Experimentally constrained network model of hippocampal fast-firing parvalbumin-positive interneurons","year":2012,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; McGill University; Douglas Mental Health University Institute; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Excitatory postsynaptic potential; Neuroscience; Network model; Membrane potential; Biological system; Current clamp; Voltage clamp; Computer science; Chemistry; Physics; Biology; Inhibitory postsynaptic potential; Artificial intelligence","score_opus":0.06475851967515678,"score_gpt":0.2849600813064848,"score_spread":0.22020156163132804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058538079","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9641838,0.000022967788,0.030526588,0.00005596623,0.0017659419,0.00033869047,0.000034145978,0.00009948796,0.0029723903],"genre_scores_gemma":[0.9970852,0.000010276663,0.0008959128,0.0013738842,0.00012246153,0.000021273314,0.0000012555794,0.00002627863,0.00046342055],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976442,0.00016628011,0.00036958812,0.0005975709,0.00047679455,0.0007456047],"domain_scores_gemma":[0.9988794,0.00028069958,0.00022134998,0.00034719292,0.000031583393,0.00023977825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026110187,0.00024260418,0.0002297728,0.00008763488,0.0002491871,0.000069026355,0.0005180233,0.000048837,0.00001739834],"category_scores_gemma":[0.00043251188,0.00022566228,0.00012276594,0.00047039846,0.0006081997,0.00065876613,0.00030049894,0.00020246227,0.000017837318],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046838653,0.0001398139,0.0030663272,0.000009930421,5.235225e-7,0.0000035204703,0.00018579814,0.01286035,0.97514635,0.007860032,0.000058556812,0.00062193524],"study_design_scores_gemma":[0.0003611719,0.00024116106,0.0051987697,0.00003642473,0.000011083818,0.00008949203,0.000051402832,0.40744004,0.5856658,0.00050737266,0.00007636087,0.00032090498],"about_ca_topic_score_codex":0.000004566096,"about_ca_topic_score_gemma":0.0000025990516,"teacher_disagreement_score":0.3945797,"about_ca_system_score_codex":0.000039419083,"about_ca_system_score_gemma":0.000073429794,"threshold_uncertainty_score":0.9202241},"labels":[],"label_agreement":null},{"id":"W2058615819","doi":"10.1115/imece2006-15080","title":"Computational Studies of Gain Modification by Serotonin in Pyramidal Neurons of Prefrontal Coxtex","year":2006,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Afterhyperpolarization; Neuroscience; Prefrontal cortex; Physics; Membrane potential; Chemistry; Psychology; Cognition","score_opus":0.04095397616619669,"score_gpt":0.2934941299612655,"score_spread":0.25254015379506883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058615819","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99583006,0.000019817497,0.0024445094,0.00025610154,0.00007141653,0.00022043579,0.000033009914,0.000017572343,0.0011070652],"genre_scores_gemma":[0.999002,0.0000071091004,0.00025980885,0.00007820169,0.0000072323774,0.000011076004,0.000016559214,0.000005665909,0.00061238435],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991915,0.00006004314,0.00027979273,0.00018889122,0.00018560831,0.00009414903],"domain_scores_gemma":[0.9995758,0.00017989958,0.00011428653,0.00007713213,0.00004099081,0.000011873043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007975454,0.000069801186,0.00012684059,0.00006598653,0.00002787207,0.0000056395643,0.00007560333,0.00002396809,0.000008823836],"category_scores_gemma":[0.00006735477,0.00006167887,0.000028168737,0.00017508486,0.00013576685,0.00009254023,0.000027863505,0.00005274469,0.000001980895],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028394372,0.00016627264,0.0022421295,0.000022215498,0.000001598844,8.4310346e-7,0.00005207497,0.047065265,0.929015,0.020468337,0.0005515581,0.00038631936],"study_design_scores_gemma":[0.00081590645,0.00022285429,0.078424096,0.00001967481,0.0000058765063,0.0000054482134,0.00011261463,0.42975056,0.4770998,0.013292263,0.00010001971,0.00015086267],"about_ca_topic_score_codex":0.00012160333,"about_ca_topic_score_gemma":0.000049247596,"teacher_disagreement_score":0.45191517,"about_ca_system_score_codex":0.00002566108,"about_ca_system_score_gemma":0.000014209328,"threshold_uncertainty_score":0.25151914},"labels":[],"label_agreement":null},{"id":"W2058621823","doi":"10.3389/fpsyg.2010.00168","title":"Framework of Consciousness from Semblance of Activity at Functionally LINKed Postsynaptic Membranes","year":2010,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Consciousness; Psychology; Postsynaptic potential; Cognitive science; Cognitive psychology; Neuroscience; Psychoanalysis; Chemistry","score_opus":0.018009873044229525,"score_gpt":0.28571047315095344,"score_spread":0.2677006001067239,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058621823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97971827,0.000050893796,0.00944706,0.0007869414,0.008943322,0.000165532,0.00006267715,0.00002634205,0.00079898775],"genre_scores_gemma":[0.99436665,0.00008152315,0.0046586087,0.0007090863,0.00008018799,0.000010778574,0.0000058047567,0.00001545508,0.00007192756],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987008,0.0001384102,0.00029226983,0.0004726687,0.0001794986,0.00021635812],"domain_scores_gemma":[0.99878937,0.00043982023,0.0002510095,0.00042941867,0.000043192842,0.000047198882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015363151,0.00013694991,0.00034940487,0.00016679657,0.000046643607,0.0000050907724,0.00029727598,0.000290459,0.0001544707],"category_scores_gemma":[0.00047471162,0.000131597,0.00007535104,0.00031700643,0.00045279754,0.00008758827,0.000060106082,0.00047071412,0.00000967793],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006894606,0.00017114099,0.04829422,0.00001921293,0.000011546913,0.000009320209,0.00007158494,0.000014931592,0.943577,0.00083676167,0.00072791177,0.005576939],"study_design_scores_gemma":[0.0025190352,0.0005201061,0.6147532,0.000077871264,0.000039949962,0.000062593565,0.000051650695,0.0068434984,0.18748854,0.18419053,0.0029330829,0.0005199713],"about_ca_topic_score_codex":0.000040454197,"about_ca_topic_score_gemma":0.00009517261,"teacher_disagreement_score":0.75608844,"about_ca_system_score_codex":0.0000207893,"about_ca_system_score_gemma":0.000024776196,"threshold_uncertainty_score":0.536637},"labels":[],"label_agreement":null},{"id":"W2058752929","doi":"10.1310/a422-g91u-q4hb-86xc","title":"Plasticity and Reorganization of the Uninjured Brain","year":2005,"lang":"en","type":"review","venue":"Topics in Stroke Rehabilitation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Victoria Hospital; St Joseph's Health Care","funders":"Canadian Stroke Network; Heart and Stroke Foundation of Canada","keywords":"Forelimb; Neuroscience; Motor cortex; Neuroplasticity; Sensory system; Motor learning; Psychology; Stimulation; Biology","score_opus":0.028808249580818804,"score_gpt":0.30854005882822794,"score_spread":0.27973180924740915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058752929","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04720092,0.9397552,0.0003356303,0.0037514819,0.0020695138,0.0044887573,0.00029630202,0.000110953406,0.0019912373],"genre_scores_gemma":[0.0077186786,0.99025553,0.00041077234,0.0000878194,0.0001692616,0.000034523833,0.000011145153,0.000031686308,0.0012805935],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985688,0.00037720441,0.0004501609,0.0003027246,0.00019221402,0.000108948625],"domain_scores_gemma":[0.9978921,0.0015758122,0.00027776323,0.00020096292,0.00003363402,0.000019766432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015167489,0.00014751886,0.0004118104,0.00013261157,0.000053892138,0.000017311444,0.00015434701,0.00015479128,0.000009273623],"category_scores_gemma":[0.003991481,0.00010487306,0.00009647403,0.00045271555,0.00013457295,0.00008456868,0.000076228716,0.00024524823,0.0000018949174],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000050074364,0.00005454861,0.0001292693,0.0024125448,0.000002744952,2.8506432e-7,0.00019517142,0.00002649195,0.00044674348,0.016913014,0.00005981104,0.9797544],"study_design_scores_gemma":[0.00031837853,0.00027368963,0.0020919754,0.0027474363,0.00008714501,0.000011047905,0.00003892077,0.0006164514,0.00014234245,0.0022586184,0.9911289,0.00028505625],"about_ca_topic_score_codex":0.0000063807197,"about_ca_topic_score_gemma":0.000024966024,"teacher_disagreement_score":0.99106914,"about_ca_system_score_codex":0.00010498168,"about_ca_system_score_gemma":0.00005972731,"threshold_uncertainty_score":0.47784638},"labels":[],"label_agreement":null},{"id":"W2059261722","doi":"10.1038/nn.3753","title":"Differences in the emergent coding properties of cortical and striatal ensembles","year":2014,"lang":"en","type":"article","venue":"Nature Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Anterior cingulate cortex; Decoding methods; Striatum; Coding (social sciences); Neural coding; Neural ensemble; Neuron; Dorsum; Psychology; Computer science; Biology; Mathematics; Cognition; Dopamine; Algorithm; Anatomy","score_opus":0.04227499625822501,"score_gpt":0.25399828123302387,"score_spread":0.21172328497479886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059261722","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981105,0.000032096876,0.0000932014,0.00088562025,0.0005363747,0.00013850995,0.0000028733652,0.000013532038,0.00018734427],"genre_scores_gemma":[0.9983588,0.0000706707,0.000007479846,0.001503022,0.000025551655,0.000004927957,1.1075319e-7,0.0000036059741,0.000025867475],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99871135,0.00021878736,0.00016447906,0.00033459393,0.00038488212,0.00018589821],"domain_scores_gemma":[0.9994601,0.00027501694,0.000064935855,0.00015048154,0.000015495929,0.000033980195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003172564,0.000091971895,0.00011498186,0.00006289172,0.00015845329,0.000061811974,0.00032115658,0.00005794937,0.0000015357051],"category_scores_gemma":[0.0023460197,0.00005098237,0.000023192613,0.00036076544,0.00032312094,0.00013988046,0.00007593356,0.0003948339,5.332215e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015421245,0.000032946,0.004578491,0.000012412096,8.8437424e-8,0.000001769863,0.000109979504,0.0000039842676,0.9811046,0.013530956,0.000013657858,0.0005956867],"study_design_scores_gemma":[0.0004196218,0.0005269562,0.33312303,0.00007442681,0.000008301424,0.000062308696,0.00015288132,0.05764691,0.60599655,0.0010110589,0.00072593975,0.00025201164],"about_ca_topic_score_codex":0.000008231235,"about_ca_topic_score_gemma":0.000010023263,"teacher_disagreement_score":0.37510806,"about_ca_system_score_codex":0.0000045162415,"about_ca_system_score_gemma":0.000012560454,"threshold_uncertainty_score":0.2808574},"labels":[],"label_agreement":null},{"id":"W2059326188","doi":"10.1139/z04-148","title":"Wavelength-dependent waveform characteristics of tectal evoked potentials in rainbow trout","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Zoology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Waveform; Wavelength; Rainbow trout; Toad; Biology; Deflection (physics); Optics; Physics; Ecology; Fish <Actinopterygii>; Fishery","score_opus":0.015041728349187846,"score_gpt":0.21845825087617535,"score_spread":0.2034165225269875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059326188","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99704033,0.00001603116,0.00010282347,0.0011062488,0.0012221532,0.000090657246,0.000035403624,0.0000028653908,0.00038346462],"genre_scores_gemma":[0.9992182,0.00002625613,0.000062640174,0.00041489076,0.00011418334,8.9997127e-7,0.0000016342156,0.000012215379,0.00014904319],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99873984,0.00007762024,0.0005549973,0.0001450093,0.00014664659,0.000335873],"domain_scores_gemma":[0.99910235,0.00006985063,0.00036299566,0.000115676965,0.00008606023,0.00026307945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027902354,0.00010878485,0.00031070993,0.00046140194,0.00005901889,0.000019067857,0.00024013496,0.00010514659,0.0000875902],"category_scores_gemma":[0.00064950384,0.00009634599,0.00009368053,0.00018460953,0.00014450024,0.00012498995,0.000013684295,0.00031078598,0.000008616487],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039290742,0.00019939999,0.029814139,0.000064815606,0.000044256525,0.0064753643,0.0014334432,0.00054834114,0.881566,0.012660913,0.000071350376,0.06672906],"study_design_scores_gemma":[0.007952055,0.003410157,0.81300366,0.00026678262,0.00009467077,0.010474804,0.00047065175,0.0012909378,0.12859201,0.03260213,0.0010167928,0.0008253665],"about_ca_topic_score_codex":0.0017041144,"about_ca_topic_score_gemma":0.014741317,"teacher_disagreement_score":0.7831895,"about_ca_system_score_codex":0.00024868958,"about_ca_system_score_gemma":0.0007090616,"threshold_uncertainty_score":0.8226001},"labels":[],"label_agreement":null},{"id":"W2059366852","doi":"10.1007/s11571-009-9092-2","title":"Effects of the anesthetic agent propofol on neural populations","year":2009,"lang":"en","type":"article","venue":"Cognitive Neurodynamics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":74,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Local field potential; Excitatory postsynaptic potential; Propofol; Bistability; Inhibitory postsynaptic potential; Electroencephalography; Neuroscience; Population; Biological system; Physics; Computer science; Chemistry; Anesthesia; Psychology; Biology; Medicine; Optoelectronics","score_opus":0.024740432228198533,"score_gpt":0.2627700520823938,"score_spread":0.23802961985419527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059366852","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99590254,0.0000061282312,0.00019557014,0.00097350095,0.00084155024,0.0008043735,0.000017375423,0.00006241971,0.0011965679],"genre_scores_gemma":[0.9957822,0.000008589077,0.0000068493655,0.0038580652,0.000038386086,0.000012698147,0.0000040828986,0.000018306737,0.0002708409],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986261,0.00022618719,0.00021095821,0.00038230527,0.0003205927,0.00023384708],"domain_scores_gemma":[0.9991698,0.0003314069,0.00015606542,0.00022240826,0.00006441522,0.000055898196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000044745942,0.00018013711,0.00014908912,0.0000802026,0.00025849298,0.00003130152,0.00022406442,0.00004748202,0.000003864826],"category_scores_gemma":[0.00095513556,0.00012569707,0.00013707714,0.0004326275,0.00013270088,0.00008703185,0.00004598955,0.00025986275,0.000016302749],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032832465,0.0013468579,0.0024848736,0.000095795236,0.0000062543477,0.00017374812,0.00019305706,0.0027534983,0.8760396,0.04699746,0.00008649437,0.069493994],"study_design_scores_gemma":[0.0012367632,0.0018042402,0.72150207,0.00016677172,0.000102227285,0.00012508951,0.000015655465,0.13246264,0.13552979,0.0065440414,0.00010008488,0.00041063625],"about_ca_topic_score_codex":0.000002130496,"about_ca_topic_score_gemma":0.000003457514,"teacher_disagreement_score":0.74050987,"about_ca_system_score_codex":0.00002637109,"about_ca_system_score_gemma":0.000015266289,"threshold_uncertainty_score":0.5125778},"labels":[],"label_agreement":null},{"id":"W2059470012","doi":"10.1016/j.heares.2006.09.012","title":"The influence of the perceptual or fear learning on rats’ prepulse inhibition induced by changes in the correlation between two spatially separated noise sounds","year":2006,"lang":"en","type":"article","venue":"Hearing Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Peking University; Ministry of Science and Technology of the People's Republic of China; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Prepulse inhibition; Noise (video); Correlation; Perception; Psychology; Audiology; Acoustics; Chemistry; Neuroscience; Physics; Medicine; Mathematics; Computer science; Artificial intelligence","score_opus":0.09429601430750761,"score_gpt":0.36113318314472703,"score_spread":0.2668371688372194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059470012","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970696,0.0000037363247,0.0000058310343,0.001664993,0.000059643273,0.0005909881,0.0000045642896,0.000021710966,0.0005789558],"genre_scores_gemma":[0.9986953,0.0000133219,0.0000015490771,0.000098513556,0.00008642984,0.000044034878,0.000007292072,0.000014387764,0.0010391561],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9967662,0.0014021442,0.00023087466,0.0003075297,0.0009274281,0.00036582968],"domain_scores_gemma":[0.9974178,0.0020591079,0.00009496957,0.0002910127,0.0001113661,0.000025758414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020025475,0.00010513664,0.00010083284,0.00011585172,0.0009559214,0.0001883964,0.0002624891,0.00007389564,0.000008920507],"category_scores_gemma":[0.001556339,0.000053834097,0.000029143917,0.0010423673,0.00024207149,0.00013200614,0.00014074073,0.0010386634,0.000019211377],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016847564,0.000054526874,0.022716897,0.0000110292585,0.000001221323,0.00000418047,0.00078885746,0.015733067,0.9585035,0.0004768377,0.00014637885,0.0013950684],"study_design_scores_gemma":[0.0006168071,0.00081671344,0.86421824,0.00015806057,0.0000049627306,0.000010760575,0.00032492602,0.019508187,0.1130346,0.0007796826,0.00037180854,0.0001552434],"about_ca_topic_score_codex":0.0014190848,"about_ca_topic_score_gemma":0.00097153994,"teacher_disagreement_score":0.8454689,"about_ca_system_score_codex":0.000100562465,"about_ca_system_score_gemma":0.00007618967,"threshold_uncertainty_score":0.7352271},"labels":[],"label_agreement":null},{"id":"W2059737426","doi":"10.1137/100811726","title":"Shared Inputs, Entrainment, and Desynchrony in Elliptic Bursters: From Slow Passage to Discontinuous Circle Maps","year":2011,"lang":"en","type":"preprint","venue":"SIAM Journal on Applied Dynamical Systems","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Bursting; Entrainment (biomusicology); Classification of discontinuities; Phase response curve; Amplitude; Bifurcation; Physics; Instability; Chaotic; Statistical physics; Hopf bifurcation; Population; Mathematics; Control theory (sociology); Mathematical analysis; Neuroscience; Computer science; Mechanics; Biology; Nonlinear system; Rhythm; Circadian rhythm","score_opus":0.023382073817369568,"score_gpt":0.23189162190925877,"score_spread":0.2085095480918892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059737426","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9784396,0.00014552842,0.0108595155,0.00068454345,0.0042260233,0.0022611523,0.00048907177,0.00012293977,0.002771571],"genre_scores_gemma":[0.99786776,0.00011306359,0.00015177314,0.0008440946,0.00055561797,0.00016579067,0.00006513531,0.000096514195,0.00014027522],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9953608,0.0003852659,0.0011997323,0.0014390298,0.0008204981,0.0007946594],"domain_scores_gemma":[0.9976895,0.0003498023,0.0006432117,0.00064001273,0.000031979424,0.0006454957],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005927495,0.000641364,0.0009909605,0.00038795132,0.0001877735,0.0008976181,0.00077122205,0.0004926027,0.000040841718],"category_scores_gemma":[0.00014763261,0.00058303657,0.00019451686,0.00024814447,0.00011854833,0.00013436482,0.00061290426,0.002046934,0.00012531616],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021271114,0.0017221996,0.002567425,0.00092811364,0.00025212194,0.0020377834,0.0021642162,0.010494378,0.92366594,0.028165903,0.0011881447,0.024686636],"study_design_scores_gemma":[0.034390263,0.0073744105,0.16067182,0.030940667,0.0012539958,0.0034165832,0.0033523152,0.3699804,0.021767944,0.33041972,0.015069932,0.021361958],"about_ca_topic_score_codex":0.00013652213,"about_ca_topic_score_gemma":0.00005315288,"teacher_disagreement_score":0.901898,"about_ca_system_score_codex":0.00067600526,"about_ca_system_score_gemma":0.00007389683,"threshold_uncertainty_score":0.9996621},"labels":[],"label_agreement":null},{"id":"W2059800216","doi":"10.1016/j.neuroimage.2010.01.100","title":"Complexity analysis of source activity underlying the neuromagnetic somatosensory steady-state response","year":2010,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children; York University; University of Toronto; Baycrest Hospital","funders":"","keywords":"Magnetoencephalography; Sample entropy; Somatosensory system; Entropy (arrow of time); Computer science; Neuroscience; Brain activity and meditation; Pattern recognition (psychology); Electroencephalography; Artificial intelligence; Psychology; Physics","score_opus":0.08156196585486095,"score_gpt":0.3009912730936872,"score_spread":0.21942930723882623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059800216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99690545,0.000001349998,0.000433343,0.0012262127,0.00040236325,0.00023117078,0.000049284048,0.00010977346,0.0006410566],"genre_scores_gemma":[0.9980652,0.0000045235374,0.000036743295,0.00091434777,0.000013139545,0.0000055029377,0.0000013295115,0.000027233307,0.00093197916],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.997631,0.00083580083,0.00026597275,0.00053952035,0.00041064978,0.00031703606],"domain_scores_gemma":[0.9969732,0.0018373323,0.00024060807,0.00081693084,0.000045197758,0.0000867153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038539065,0.00019342052,0.00028505514,0.00026248203,0.00033838992,0.00010648438,0.00043278627,0.00004561409,0.00008088546],"category_scores_gemma":[0.0011109622,0.00014663348,0.00022927565,0.0012021465,0.00056522957,0.0001794242,0.00016133742,0.0006034682,0.000022819646],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003033033,0.000085924716,0.0005090305,0.000008001247,0.000013012155,0.000027775939,0.00012216864,0.00047744458,0.9955511,0.00026695293,0.000030826704,0.0026044599],"study_design_scores_gemma":[0.00033719378,0.00025130672,0.68545187,0.0000029981436,0.00019788448,0.000049582733,0.000027165448,0.18878964,0.12314013,0.00052080525,0.0010041207,0.00022735029],"about_ca_topic_score_codex":0.000065257125,"about_ca_topic_score_gemma":0.00011980905,"teacher_disagreement_score":0.87241095,"about_ca_system_score_codex":0.000010119537,"about_ca_system_score_gemma":0.000031220305,"threshold_uncertainty_score":0.597954},"labels":[],"label_agreement":null},{"id":"W2059875889","doi":"10.1037/cep0000032","title":"A shared short-term memory system for stimulus duration and stimulus frequency.","year":2014,"lang":"en","type":"review","venue":"Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stimulus (psychology); Second-order stimulus; Computer science; Psychology; Speech recognition; Cognitive psychology; Neuroscience; Visual perception; Perception","score_opus":0.08662775060130985,"score_gpt":0.3513671900926373,"score_spread":0.26473943949132744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059875889","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.052315567,0.92832816,0.0006429051,0.00027390625,0.011976364,0.0029432427,0.0009889994,0.000085827036,0.0024450594],"genre_scores_gemma":[0.6964248,0.29037166,0.0036944335,0.0032470408,0.0032231503,0.0011350106,0.00045447994,0.00067490916,0.0007745422],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99464905,0.0004886944,0.0018865274,0.0013664154,0.00014394241,0.0014653847],"domain_scores_gemma":[0.9955435,0.00037136988,0.0012420284,0.0008171364,0.00011676023,0.001909226],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001034502,0.00086859846,0.0019198479,0.0010341611,0.00049970776,0.00023060477,0.0012012583,0.00071061146,0.00010094726],"category_scores_gemma":[0.0003977833,0.00084352726,0.00068371417,0.00041206178,0.0005023446,0.00034755166,0.000054981163,0.00083118555,0.00002485959],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007441062,0.00094515993,0.00042973005,0.012031024,0.0010240899,0.009289928,0.004606135,0.00003486831,0.24791305,0.006350844,0.03260295,0.68402815],"study_design_scores_gemma":[0.017558394,0.020218851,0.0007762054,0.034718797,0.0035623785,0.13005485,0.005766035,0.0011670301,0.016097663,0.002151989,0.75745744,0.010470354],"about_ca_topic_score_codex":0.0006951511,"about_ca_topic_score_gemma":0.0049484386,"teacher_disagreement_score":0.7248545,"about_ca_system_score_codex":0.002589446,"about_ca_system_score_gemma":0.0007011107,"threshold_uncertainty_score":0.99940157},"labels":[],"label_agreement":null},{"id":"W2059941532","doi":"10.1523/jneurosci.1320-07.2007","title":"Modulation of the Receptive Fields of Midbrain Neurons Elicited by Thalamic Electrical Stimulation through Corticofugal Feedback","year":2007,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research; University of Calgary","keywords":"Inferior colliculus; Receptive field; Neuroscience; Medial geniculate body; Tonotopy; Midbrain; Thalamus; Auditory cortex; Auditory system; Inferior Colliculi; Superior colliculus; Stimulation; Biology; Psychology; Nucleus; Central nervous system","score_opus":0.03076277416477779,"score_gpt":0.285266421133733,"score_spread":0.2545036469689552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059941532","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98273253,0.000009602963,0.015401003,0.0005266911,0.0009339354,0.00017153184,0.000007668727,0.000007698352,0.00020930536],"genre_scores_gemma":[0.9987857,0.000034071276,0.00010628114,0.00088686816,0.000045884015,3.799296e-7,3.003623e-7,0.000009589062,0.00013095292],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978345,0.00018205952,0.00071784336,0.0002365442,0.00078536104,0.00024371764],"domain_scores_gemma":[0.9979587,0.00054689613,0.0010523963,0.00020265626,0.00018073252,0.00005857749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042759418,0.00012343812,0.0002135649,0.00012707972,0.00013032077,0.000025370253,0.00044374823,0.00006964416,0.0000075787057],"category_scores_gemma":[0.0020528531,0.00008564281,0.0001450914,0.0012361704,0.0002818637,0.00046073706,0.00006226942,0.00036021954,6.7154497e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010394597,0.00012592116,0.0035045566,0.000005198596,8.7036193e-7,0.000004497471,0.000098034376,0.0026619788,0.9917425,0.0003671648,0.00018760587,0.0011977169],"study_design_scores_gemma":[0.00045516147,0.0008998221,0.4232036,0.000031342362,0.000016117667,0.00013948725,0.00001622173,0.06270135,0.51116174,0.0010803182,0.00019134658,0.000103515114],"about_ca_topic_score_codex":0.000010578521,"about_ca_topic_score_gemma":0.0000027140293,"teacher_disagreement_score":0.48058078,"about_ca_system_score_codex":0.00004291857,"about_ca_system_score_gemma":0.00006621365,"threshold_uncertainty_score":0.34924123},"labels":[],"label_agreement":null},{"id":"W2060055955","doi":"10.1007/s10339-012-0524-2","title":"Dynamic modulation of an orientation preference map by GABA responsible for age-related cognitive performance","year":2012,"lang":"en","type":"article","venue":"Cognitive Processing","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Neuroscience; Stimulus (psychology); Inhibitory postsynaptic potential; GABAA receptor; GABAergic; Extracellular; gamma-Aminobutyric acid; Tonic (physiology); Visual cortex; Cognition; Psychology; Biology; Chemistry; Receptor; Cell biology; Biochemistry","score_opus":0.04917876082181413,"score_gpt":0.3087575253092165,"score_spread":0.25957876448740236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060055955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97476083,0.00007316125,0.023691567,0.000024511008,0.00022973663,0.0006338309,0.00013746059,0.00006679977,0.00038210597],"genre_scores_gemma":[0.9986061,0.000011755891,0.00040179564,0.00011330712,0.0000248982,0.000061114006,0.00028544397,0.000027609685,0.00046800362],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99870807,0.00011597483,0.00027983816,0.00036483235,0.00022568597,0.00030559325],"domain_scores_gemma":[0.998966,0.00028044992,0.00029351973,0.00006589408,0.00031531637,0.00007882368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028751398,0.00015707302,0.0001536297,0.00012499109,0.00028762748,0.00005490107,0.00007821137,0.00008212553,0.000013701227],"category_scores_gemma":[0.000649389,0.00015319022,0.000035585053,0.000350946,0.00015682737,0.0015937954,0.000027001886,0.00013011204,0.000009863067],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068122696,0.00023666321,0.0013938277,0.00027333805,0.0000061995847,7.0122746e-7,0.0018857799,0.000026561518,0.7571936,0.00013669097,0.000004696015,0.23816071],"study_design_scores_gemma":[0.0017783907,0.0008241841,0.040567126,0.0006738781,0.000090182904,0.000013782746,0.0008696853,0.38662967,0.5659902,0.0021578607,0.000021611255,0.00038340726],"about_ca_topic_score_codex":0.0000018684658,"about_ca_topic_score_gemma":0.000002722732,"teacher_disagreement_score":0.38660312,"about_ca_system_score_codex":0.000042262407,"about_ca_system_score_gemma":0.000060071725,"threshold_uncertainty_score":0.6246916},"labels":[],"label_agreement":null},{"id":"W2060101880","doi":"10.1186/1471-2202-8-s2-s26","title":"Stimulus encoding and correlates with behavior in area MT of visual cortex is dependent on spike phase","year":2007,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Stimulus (psychology); Neuroscience; Perception; Sensory system; Visual cortex; Motion perception; Receptive field; Psychology; Local field potential; ENCODE; Neuron; Visual perception; Biology; Cognitive psychology","score_opus":0.04420801873125051,"score_gpt":0.31716218342164665,"score_spread":0.27295416469039613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060101880","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968145,0.0000052837454,0.0020516913,0.000023913768,0.00042883234,0.00033228644,0.000013368425,0.000031124357,0.00029898583],"genre_scores_gemma":[0.99906844,0.00001548776,0.000045582347,0.0006551079,0.000011904546,0.000008118067,4.6440877e-7,0.0000128714455,0.00018205358],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981665,0.00004108542,0.00027976953,0.00066671293,0.0004887972,0.0003571566],"domain_scores_gemma":[0.99918556,0.0003267996,0.00015280297,0.00019026248,0.000024434088,0.00012016186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027678255,0.00016782837,0.0001667739,0.00023592208,0.00013442147,0.000057339974,0.00020523409,0.00004269452,0.000010230997],"category_scores_gemma":[0.00031471843,0.00013538303,0.000028456976,0.0006042578,0.00030485296,0.00023840988,0.0000794663,0.00019805502,0.0000029788123],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023889805,0.00041874204,0.049490415,0.000009281447,1.1054249e-7,0.00015233266,0.00006168441,0.00015341354,0.94709325,0.0002370181,0.000002954074,0.0021418883],"study_design_scores_gemma":[0.0021252201,0.0039659687,0.28608984,0.000070989874,0.000015116943,0.00024746265,0.00007938698,0.08135958,0.6256072,0.00005225619,0.000041315783,0.00034567676],"about_ca_topic_score_codex":0.00002106508,"about_ca_topic_score_gemma":0.0000623963,"teacher_disagreement_score":0.32148606,"about_ca_system_score_codex":0.00003079171,"about_ca_system_score_gemma":0.000041880958,"threshold_uncertainty_score":0.5520759},"labels":[],"label_agreement":null},{"id":"W2060356288","doi":"10.1121/1.4806763","title":"Simultaneously evoked auditory potentials: A novel paradigm for measuring auditory-evoked electroencephalographic activity at successive levels of the auditory neuraxis","year":2013,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Auditory cortex; Mismatch negativity; Inferior colliculus; Electrophysiology; Stimulus (psychology); Neuroscience; Auditory system; Thalamus; Electroencephalography; Audiology; Evoked potential; Tonotopy; Psychology; Medicine; Cognitive psychology","score_opus":0.024970023488465467,"score_gpt":0.24518792955193386,"score_spread":0.2202179060634684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060356288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8953582,0.00006772195,0.090621345,0.008822971,0.004006394,0.0009822062,0.00008449126,0.00002610379,0.000030540654],"genre_scores_gemma":[0.9972513,0.00011587171,0.0005008334,0.00091585563,0.0009309608,0.000011918578,1.648969e-7,0.000033169155,0.00023995822],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996912,0.00053275994,0.000656553,0.0002817907,0.0010993355,0.0005175663],"domain_scores_gemma":[0.99257225,0.004423529,0.0019115794,0.0005653325,0.00039809587,0.00012923825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069645647,0.00028944894,0.00054968393,0.000041100342,0.0007853445,0.000038806727,0.0014843155,0.00013413726,0.00004217023],"category_scores_gemma":[0.0025247924,0.00014623406,0.0011015316,0.00055238203,0.0017381805,0.00027842124,0.00034483048,0.00079129025,0.000002491833],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025202133,0.00020944412,0.000036218597,0.000058395333,0.00010227682,6.1752064e-7,0.0002122016,0.01600903,0.97396255,0.0000054574784,0.007286249,0.0018655404],"study_design_scores_gemma":[0.002330023,0.0017686815,0.0348612,0.00028739186,0.0010141681,0.0002653863,0.00056296686,0.754211,0.19792162,0.0043864567,0.0017534348,0.000637656],"about_ca_topic_score_codex":0.00006725676,"about_ca_topic_score_gemma":0.0000031549203,"teacher_disagreement_score":0.7760409,"about_ca_system_score_codex":0.00018580978,"about_ca_system_score_gemma":0.00019784743,"threshold_uncertainty_score":0.64043987},"labels":[],"label_agreement":null},{"id":"W2060452174","doi":"10.1016/j.neuroscience.2007.11.028","title":"Multi-frequency auditory stimulation disrupts spindling activity in anesthetized animals","year":2007,"lang":"en","type":"article","venue":"Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Stimulation; Neuroscience; Auditory cortex; Stimulus (psychology); Sleep spindle; Local field potential; Physics; Electroencephalography; Psychology; Slow-wave sleep","score_opus":0.05525019469769001,"score_gpt":0.3218713201342433,"score_spread":0.2666211254365533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060452174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9904802,0.000005252433,0.0068383897,0.0001718877,0.0016515787,0.00032657775,0.0000037560033,0.00012249367,0.00039988634],"genre_scores_gemma":[0.99860907,0.000011343723,0.0004335438,0.0006427393,0.00008429517,0.000006956032,3.670373e-7,0.000017564444,0.00019409732],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9977597,0.00012972666,0.00028564662,0.0008012221,0.00048789813,0.0005358265],"domain_scores_gemma":[0.9991122,0.00027429662,0.0001603577,0.00029641078,0.000029889492,0.00012686195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006908966,0.00018447352,0.00016489896,0.00025504184,0.0002654035,0.00009303632,0.00034913936,0.0000764105,0.000009125674],"category_scores_gemma":[0.0013022757,0.00017485268,0.00005654607,0.0010462082,0.0002175117,0.0005746602,0.00008024486,0.00030153114,0.000024162557],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043134547,0.000116266085,0.013518256,0.000006099461,6.239568e-8,0.00011021251,0.00003641582,0.0007961743,0.98171675,0.00027982407,0.0000033532228,0.0033734788],"study_design_scores_gemma":[0.0005747943,0.00016466303,0.79118156,0.00001747354,0.0000018673218,0.00004812075,0.000006029808,0.080674194,0.12666275,0.0002307965,0.00020518339,0.00023258557],"about_ca_topic_score_codex":0.000044019034,"about_ca_topic_score_gemma":0.0000612636,"teacher_disagreement_score":0.85505396,"about_ca_system_score_codex":0.000098211225,"about_ca_system_score_gemma":0.000047280457,"threshold_uncertainty_score":0.71302855},"labels":[],"label_agreement":null},{"id":"W2060656083","doi":"10.1016/j.brainres.2009.09.069","title":"From local inhibition to long-range integration: A functional dissociation of alpha-band synchronization across cortical scales in visuospatial attention","year":2009,"lang":"en","type":"article","venue":"Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":134,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Simon Fraser University; Child and Family Research Institute","funders":"","keywords":"Visual cortex; Neuroscience; Lateralization of brain function; Psychology; Electroencephalography; Phase synchronization; Alpha (finance); Cortex (anatomy); Local field potential; Synchronization (alternating current); Physics; Developmental psychology; Computer science; Phase (matter); Telecommunications","score_opus":0.05576903998026646,"score_gpt":0.37229902815261356,"score_spread":0.3165299881723471,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060656083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8945375,0.000011188994,0.09914162,0.005440739,0.00019545133,0.0004999559,0.000052656545,0.00003374364,0.00008712107],"genre_scores_gemma":[0.9989741,0.000011535086,0.000042535296,0.00037750904,0.0002679338,0.000036490583,0.00017203132,0.000013049976,0.00010482437],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99702543,0.0005804226,0.00042365948,0.00052159675,0.0010526663,0.00039622112],"domain_scores_gemma":[0.9987124,0.00064328726,0.000086595035,0.00017781678,0.00026979766,0.00011010762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010495883,0.00012995682,0.00017715646,0.0002628824,0.00028636507,0.00011919153,0.00011608514,0.0001458968,0.00006429966],"category_scores_gemma":[0.0021683455,0.00012591449,0.000063524065,0.0011992658,0.00017993514,0.0003820237,0.00005031347,0.00039370178,0.000053464573],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072022126,0.00053429866,0.015126039,0.000020255105,0.000003679747,0.000025403795,0.00062694063,0.0008559216,0.9180252,0.0032421092,0.0008183035,0.06000161],"study_design_scores_gemma":[0.0009723143,0.0006042842,0.9082247,0.00014541138,0.0000029201672,0.000004875729,0.00019412184,0.04175676,0.04319606,0.00471687,0.000025195182,0.00015646713],"about_ca_topic_score_codex":0.00022761396,"about_ca_topic_score_gemma":0.0012599928,"teacher_disagreement_score":0.89309865,"about_ca_system_score_codex":0.00033606438,"about_ca_system_score_gemma":0.000060219027,"threshold_uncertainty_score":0.5134644},"labels":[],"label_agreement":null},{"id":"W2060663889","doi":"10.1073/pnas.0604103103","title":"The cellular basis for parallel neural transmission of a high-frequency stimulus and its low-frequency envelope","year":2006,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":110,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Neuroscience; Stimulus (psychology); Sensory system; Visual cortex; Interneuron; Auditory system; Auditory cortex; Computer science; Nerve net; Communication; Biology; Inhibitory postsynaptic potential; Psychology","score_opus":0.031914978976203295,"score_gpt":0.26617719652729865,"score_spread":0.23426221755109536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060663889","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916544,0.00021252815,0.000025562033,0.0068706106,0.00004560552,0.00039236003,0.00003137047,0.000010079338,0.0007575065],"genre_scores_gemma":[0.9985469,0.00007358903,0.0009821202,0.00015658913,0.00004713705,0.00001895952,1.5958666e-7,0.0000051906177,0.00016936328],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998258,0.000012950634,0.00039557202,0.00030139176,0.0008436178,0.0001884559],"domain_scores_gemma":[0.9989026,0.0004212012,0.00042788073,0.000011052004,0.00020693333,0.000030323776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007785849,0.00011019675,0.00014655289,0.00009573618,0.00046436812,0.000035243465,0.00066429016,0.00006501025,0.000004081318],"category_scores_gemma":[0.0007554072,0.00006136886,0.00008005318,0.0005750358,0.0006661453,0.00042058434,0.000061168335,0.00011621488,2.2119124e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022584532,0.00002671195,0.00029842998,0.00006087463,0.0000015765248,7.136602e-9,0.000030594492,0.00021017103,0.842429,0.15631081,0.000050208615,0.00055902597],"study_design_scores_gemma":[0.0002460152,0.00009918903,0.013084806,0.0000587185,0.000010792015,0.0000044802723,0.000021801003,0.019352786,0.7777879,0.18920657,0.000041963063,0.0000849514],"about_ca_topic_score_codex":0.000015766347,"about_ca_topic_score_gemma":1.7152152e-7,"teacher_disagreement_score":0.06464107,"about_ca_system_score_codex":0.000018841798,"about_ca_system_score_gemma":0.000030360114,"threshold_uncertainty_score":0.3571591},"labels":[],"label_agreement":null},{"id":"W2061002342","doi":"10.1103/physrevlett.108.208102","title":"Universal Critical Dynamics in High Resolution Neuronal Avalanche Data","year":2012,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":514,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Division of Materials Research; Japan Society for the Promotion of Science; Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Statistical physics; Critical point (mathematics); Scaling; Critical exponent; Non-equilibrium thermodynamics; Power law; Physics; Critical phenomena; Phase transition; Function (biology); Scaling law; Computation; Dynamics (music); Computer science; Quantum mechanics; Algorithm; Mathematics","score_opus":0.051956414190874975,"score_gpt":0.31511616884102167,"score_spread":0.2631597546501467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061002342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94387144,0.0005205144,0.0015617114,0.051886946,0.0010041011,0.000378837,0.000121807454,0.000085451284,0.0005692171],"genre_scores_gemma":[0.9744823,0.0007501102,0.00007642391,0.024281994,0.00031140225,0.0000065406116,0.00006523736,0.000015581083,0.000010435455],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984828,0.00026156666,0.00017769818,0.00038993772,0.0002913781,0.0003965776],"domain_scores_gemma":[0.9988898,0.00047485143,0.00004803973,0.00046685533,0.000009512426,0.000110951165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022385835,0.00013740335,0.00021931257,0.000038054273,0.000059405636,0.000020903957,0.00037852503,0.0000117975615,0.000019526731],"category_scores_gemma":[0.00077670027,0.00012049229,0.000056490684,0.00030558297,0.00012524525,0.00062206236,0.00022869048,0.00030982526,0.0001343616],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013404421,0.002084609,0.008744466,0.0020511462,0.000014053628,0.0001323425,0.00008328761,0.00041254167,0.3962272,0.53019303,0.04042357,0.019499691],"study_design_scores_gemma":[0.001190837,0.0002425643,0.055779167,0.0017309728,0.00022956124,0.000091520655,0.000019541092,0.8872181,0.0012630742,0.002423957,0.0483618,0.0014488702],"about_ca_topic_score_codex":0.000026958583,"about_ca_topic_score_gemma":0.0000060896577,"teacher_disagreement_score":0.8868056,"about_ca_system_score_codex":0.00013741365,"about_ca_system_score_gemma":0.000011423564,"threshold_uncertainty_score":0.4913533},"labels":[],"label_agreement":null},{"id":"W2061059475","doi":"10.1371/journal.pone.0055969","title":"MEG Source Localization of Spatially Extended Generators of Epileptic Activity: Comparing Entropic and Hierarchical Bayesian Approaches","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":134,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Neurological Institute and Hospital; École de Technologie Supérieure; Université de Montréal; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Epilepsy Society; Savoy Foundation; American Epilepsy Society","keywords":"Bayesian probability; Bayesian hierarchical modeling; Biological system; Statistical physics; Computer science; Artificial intelligence; Bayesian inference; Biology; Physics","score_opus":0.0663636996833758,"score_gpt":0.21080024568999328,"score_spread":0.14443654600661748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061059475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.965847,0.000008181503,0.033520438,0.00014467594,0.000022386113,0.00025830048,0.0000020200894,0.000022466142,0.00017453817],"genre_scores_gemma":[0.99916565,0.000015428974,0.00066418137,0.000053517393,0.000031271724,0.000012827187,0.0000024941294,0.000012204647,0.0000424314],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990918,0.00011080361,0.00018509821,0.00022880804,0.00025278312,0.00013072978],"domain_scores_gemma":[0.99953914,0.00010062373,0.00012840216,0.00014217643,0.000030017305,0.000059644488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000054331213,0.000089697576,0.0002238452,0.00007561245,0.000056429843,0.0000237462,0.00007802103,0.000043032585,0.000023287312],"category_scores_gemma":[0.0001491479,0.00008094336,0.000025540508,0.00014155076,0.00013196106,0.00012921478,0.00006067689,0.00009600385,0.0000022254103],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025480513,0.00060178776,0.014279427,0.00013970475,0.000016575726,4.5212667e-7,0.00013471775,0.00071944366,0.9755383,0.0014418829,0.0000021277208,0.0071000573],"study_design_scores_gemma":[0.00017862247,0.000112764705,0.008831685,0.000029594261,0.000021611535,8.4898915e-7,0.000006168328,0.56215817,0.4281986,0.00040191863,0.000001355797,0.0000586532],"about_ca_topic_score_codex":0.000038177208,"about_ca_topic_score_gemma":0.000011716571,"teacher_disagreement_score":0.56143874,"about_ca_system_score_codex":0.000009770673,"about_ca_system_score_gemma":0.00001303656,"threshold_uncertainty_score":0.33007744},"labels":[],"label_agreement":null},{"id":"W2061128535","doi":"10.7490/f1000research.1093334.1","title":"Overt fixations reflect a natural central bias","year":2013,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Open peer review; Plant biology; Natural (archaeology); Neuroscience; Physiology; Biology; Medicine; Psychology; Cognitive psychology; Paleontology; Botany","score_opus":0.04594733909672404,"score_gpt":0.26631626400096525,"score_spread":0.2203689249042412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061128535","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9604792,0.000004605914,0.0002331222,0.0029562095,0.00087156775,0.00020898218,0.0000028731254,0.00014624103,0.0350972],"genre_scores_gemma":[0.9767102,0.000006694276,0.00013800382,0.003702457,0.00006255483,0.000012340419,0.0000030043468,0.000006831206,0.019357901],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993101,0.000034082004,0.00009785193,0.00019934005,0.00013456012,0.00022410689],"domain_scores_gemma":[0.99965566,0.00011020449,0.00002969108,0.00012637733,0.00002072863,0.000057325564],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000022857063,0.000070493115,0.000054166296,0.000040161198,0.00011372303,0.000095748925,0.000094049494,0.000023966788,0.0009313917],"category_scores_gemma":[0.0002695424,0.000050324288,0.000045289227,0.00019146356,0.000027278067,0.00028139373,0.000029768096,0.00010008183,0.0005270709],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004704568,0.000033071556,0.0006043745,0.0000024714548,0.0000013504201,0.000002457178,0.000028874387,0.000023202472,0.95664394,0.020397604,0.01747842,0.004779545],"study_design_scores_gemma":[0.0010363497,0.0003258389,0.17908093,0.000021090043,0.000014942945,0.000121976,0.00007470218,0.29129806,0.45628113,0.019949108,0.050975107,0.00082078646],"about_ca_topic_score_codex":0.000120174685,"about_ca_topic_score_gemma":0.00003162698,"teacher_disagreement_score":0.5003628,"about_ca_system_score_codex":0.000025758014,"about_ca_system_score_gemma":0.00001297462,"threshold_uncertainty_score":0.9999819},"labels":[],"label_agreement":null},{"id":"W2061559236","doi":"10.1016/j.physleta.2006.04.098","title":"Invariant measures in brain dynamics","year":2006,"lang":"en","type":"article","venue":"Physics Letters A","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Invariant (physics); Chaotic; Ergodic theory; Physics; Consciousness; Statistical physics; Dynamical systems theory; Pure mathematics; Artificial intelligence; Psychology; Neuroscience; Computer science; Mathematics; Quantum mechanics","score_opus":0.019297388831723914,"score_gpt":0.2197060337520519,"score_spread":0.20040864492032798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061559236","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96692103,0.000003005406,0.0144459065,0.015816497,0.00026109235,0.00015011505,0.000013279784,0.00006363925,0.002325443],"genre_scores_gemma":[0.98918974,0.0000014153774,0.00006946916,0.010364683,0.00018966972,0.0000112308,0.000010049301,0.000017491795,0.00014622152],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990376,0.00007301162,0.00014870254,0.00029199728,0.00020994748,0.00023870717],"domain_scores_gemma":[0.99960554,0.00013885314,0.00005460749,0.00016964022,0.000008126724,0.000023218707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009465921,0.000113803624,0.00010951177,0.000051994757,0.00006276932,0.000061219296,0.00014281433,0.00002503564,0.0000042137312],"category_scores_gemma":[0.000058457896,0.00010927515,0.000049859795,0.00032117398,0.00005249725,0.00016319692,0.00003783339,0.0001570539,0.00003358625],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010411618,0.00006880695,0.000984871,0.0000050913886,7.680142e-7,0.000038067355,0.000023159002,0.0024695834,0.92546314,0.06614603,0.002279024,0.0025110457],"study_design_scores_gemma":[0.0028834287,0.00016071176,0.034609523,0.00009238576,0.000022033013,0.00005939395,0.000037349902,0.4943315,0.2989648,0.16060944,0.006613813,0.0016156182],"about_ca_topic_score_codex":0.0002789368,"about_ca_topic_score_gemma":0.00020718754,"teacher_disagreement_score":0.62649834,"about_ca_system_score_codex":0.00008684888,"about_ca_system_score_gemma":0.000010321555,"threshold_uncertainty_score":0.44561112},"labels":[],"label_agreement":null},{"id":"W2061560982","doi":"10.1007/s00221-008-1362-4","title":"Adaptation changes the spatial frequency tuning of adult cat visual cortex neurons","year":2008,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; National Institute for Health and Care Research; National Institutes of Health; Shanghai Ocean University; Health Research","keywords":"Neuroscience; Visual cortex; Electrophysiology; Adaptation (eye); Orientation (vector space); Cortex (anatomy); Spatial frequency; Orientation column; Striate cortex; Chemistry; Physics; Biology; Optics; Mathematics; Geometry","score_opus":0.12172795648581339,"score_gpt":0.380269391074303,"score_spread":0.25854143458848966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061560982","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99392164,0.000051952116,0.00013899637,0.002876881,0.00031622092,0.00044547394,0.000012291231,0.00003846052,0.002198093],"genre_scores_gemma":[0.99813884,0.000053302323,0.00005238597,0.0007235791,0.00015193521,0.00007253454,0.000009173826,0.000023505912,0.0007747226],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99753374,0.00055566453,0.00019402595,0.00039689845,0.0009227743,0.00039690462],"domain_scores_gemma":[0.9986537,0.00083027896,0.00007248701,0.00024782386,0.00011003034,0.00008568796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029775442,0.00012439967,0.0001222297,0.00015878124,0.000688359,0.000038372866,0.0003278485,0.000050822484,0.00014737266],"category_scores_gemma":[0.0008165338,0.0000941193,0.000053372387,0.00047710433,0.0006134142,0.00014260045,0.00017427452,0.000281417,0.000044406537],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006720294,0.00013514647,0.00013059797,0.0000050499134,0.000002158148,0.000033952765,0.0019971924,0.000009062848,0.9924258,0.0021878504,0.0005716157,0.0024343976],"study_design_scores_gemma":[0.0004443735,0.0011173042,0.0052044997,0.000016286218,0.000001164094,0.00006738791,0.0016798404,0.03064397,0.96023417,0.00014417777,0.00031826468,0.00012854965],"about_ca_topic_score_codex":0.0012812869,"about_ca_topic_score_gemma":0.00016555363,"teacher_disagreement_score":0.03219159,"about_ca_system_score_codex":0.00007941052,"about_ca_system_score_gemma":0.000082601284,"threshold_uncertainty_score":0.52943707},"labels":[],"label_agreement":null},{"id":"W2062020955","doi":"10.4018/ijaras.2014100104","title":"Spatial Multiplexing","year":2014,"lang":"en","type":"article","venue":"International Journal of Adaptive Resilient and Autonomic Systems","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Bottleneck; Multiplexing; Computer science; Spatial analysis; Spatial multiplexing; Distributed computing; Neuroscience; Computer network; Biology; Geography; Telecommunications; Embedded system; Remote sensing","score_opus":0.024301986970293038,"score_gpt":0.2543955191371328,"score_spread":0.23009353216683978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062020955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96743804,0.00006974407,0.02539724,0.0003952414,0.0047494285,0.00008999928,0.00000980446,0.000012814205,0.0018376738],"genre_scores_gemma":[0.9987694,0.000033551543,0.00007731146,0.00010857929,0.0007270602,0.0000011756122,6.072444e-7,0.0000074507348,0.00027489042],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990284,0.00010209943,0.00035724227,0.00014246887,0.00027268188,0.00009714372],"domain_scores_gemma":[0.9991372,0.00025419556,0.00037944087,0.00005294326,0.000114371665,0.00006184319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028745248,0.00008422225,0.00014638783,0.00014380184,0.000050129674,0.00010217439,0.0001955184,0.0000292949,0.000007852226],"category_scores_gemma":[0.00022506603,0.000066509034,0.000064159794,0.000028983008,0.000050849238,0.0001867939,0.000045870547,0.00010746652,0.000010123356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000952792,0.00017086763,0.008513736,0.000017068367,0.00012288232,0.000097116244,0.0004667828,0.032251943,0.7592255,0.11014306,0.00070577173,0.087332495],"study_design_scores_gemma":[0.002500275,0.00077946286,0.019277899,0.00031547042,0.000020117488,0.0009685515,0.0002581858,0.90388495,0.029128272,0.0015470192,0.040993977,0.0003258236],"about_ca_topic_score_codex":0.000051553878,"about_ca_topic_score_gemma":0.0000032464804,"teacher_disagreement_score":0.871633,"about_ca_system_score_codex":0.0000837038,"about_ca_system_score_gemma":0.000026873498,"threshold_uncertainty_score":0.27121595},"labels":[],"label_agreement":null},{"id":"W2062346968","doi":"10.1152/jn.00348.2004","title":"Corticofugal Shaping of Frequency Tuning Curves in the Central Nucleus of the Inferior Colliculus of Mice","year":2004,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":114,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Inferior colliculus; Tonotopy; Neuroscience; Auditory cortex; Inferior Colliculi; Midbrain; Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Cortex (anatomy); Nucleus; Neuroplasticity; Stimulation; Superior colliculus; Physics; Biology; Central nervous system","score_opus":0.032953095614448334,"score_gpt":0.25701902859672787,"score_spread":0.22406593298227953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062346968","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984386,0.00003122324,0.000021549602,0.0008258275,0.0004962721,0.000116096635,0.000008361171,0.0000018455414,0.000060248884],"genre_scores_gemma":[0.99874616,0.00021647674,0.00003975665,0.0009420452,0.000044791203,6.2520303e-7,1.3670959e-7,0.0000073144793,0.0000026902603],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99855554,0.0002992132,0.0006254051,0.00011078248,0.0002379164,0.0001711694],"domain_scores_gemma":[0.99856997,0.00028248446,0.00086423504,0.00016331374,0.00009500848,0.000024973822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009019526,0.00008902495,0.00028998306,0.000076085766,0.00004350516,0.000004973794,0.0004667671,0.000035704186,0.000005901203],"category_scores_gemma":[0.0007751015,0.000050352835,0.0001505204,0.00038155614,0.0002581083,0.00010712885,0.000062839725,0.00029253983,3.4041466e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000070152935,0.00012241703,0.0007091135,0.00005429551,0.0000039111537,0.000027747239,0.00019049762,0.0036822634,0.99390507,0.0011294198,0.0000038796734,0.000101229576],"study_design_scores_gemma":[0.0010935611,0.0017988192,0.7861305,0.00046512202,0.00004247617,0.00042473164,0.00010809617,0.0010186885,0.20572607,0.0030463985,0.000037983264,0.000107566724],"about_ca_topic_score_codex":0.000060039903,"about_ca_topic_score_gemma":0.000006297356,"teacher_disagreement_score":0.788179,"about_ca_system_score_codex":0.000021707137,"about_ca_system_score_gemma":0.00010291339,"threshold_uncertainty_score":0.2053329},"labels":[],"label_agreement":null},{"id":"W2062349210","doi":"10.1097/wnr.0b013e32833312c7","title":"Comparing neuronal and behavioral thresholds for spiral motion discrimination","year":2009,"lang":"en","type":"article","venue":"Neuroreport","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital; York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Bundesministerium für Bildung und Forschung","keywords":"Spiral (railway); Projection (relational algebra); Neuroscience; Motion perception; Motion (physics); Perception; Artificial intelligence; Biological motion; Physics; Computer vision; Communication; Computer science; Biology; Psychology; Mathematics; Mathematical analysis","score_opus":0.10445214054877916,"score_gpt":0.32471778864312584,"score_spread":0.22026564809434668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062349210","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966144,0.000002625474,0.000878408,0.000617028,0.0004995347,0.00030546653,0.0000050416043,0.00009606263,0.0009814398],"genre_scores_gemma":[0.9986378,0.0000049860937,0.000083660016,0.0009416377,0.00009673257,0.0000121526,0.00001688773,0.000012403736,0.00019376338],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989443,0.00002244541,0.00022406656,0.0004147525,0.00020157034,0.00019289409],"domain_scores_gemma":[0.9996136,0.000033528493,0.00011222111,0.00014295198,0.000034820652,0.00006287275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006739536,0.0001200881,0.0001189415,0.00006705487,0.0001713578,0.000084379535,0.00007107831,0.000037098827,0.000003967373],"category_scores_gemma":[0.000116203366,0.000112470276,0.00004700564,0.00011418507,0.000042454747,0.00030498157,0.000025934067,0.000107474385,0.0000016738469],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009560572,0.0002515853,0.048479177,0.000016107833,7.7728316e-7,0.00006963046,0.0000637665,0.00013197443,0.89829284,0.010090006,0.00030825724,0.042200264],"study_design_scores_gemma":[0.00059511024,0.00096611143,0.9117788,0.000008402623,0.000027980006,0.00035862759,0.000008121484,0.028810026,0.052187625,0.0041985516,0.00082689564,0.00023374254],"about_ca_topic_score_codex":0.0000048450293,"about_ca_topic_score_gemma":0.000004174666,"teacher_disagreement_score":0.8632996,"about_ca_system_score_codex":0.000014684731,"about_ca_system_score_gemma":0.000010886108,"threshold_uncertainty_score":0.4586405},"labels":[],"label_agreement":null},{"id":"W2062528869","doi":"10.1007/s00221-003-1618-y","title":"Frequency modulated sweep responses in the medial geniculate nucleus","year":2003,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thalamus; Stimulus (psychology); Geniculate; Lateral geniculate nucleus; Neuroscience; Frequency modulation; Auditory cortex; Midbrain; Frequency selectivity; Sweep frequency response analysis; Nucleus; Medial geniculate body; Low frequency; Spatial frequency; Inferior colliculus; Visual cortex; Physics; Biology; Psychology; Acoustics; Central nervous system; Optics; Computer science; Telecommunications","score_opus":0.11742386016256198,"score_gpt":0.397203524414764,"score_spread":0.279779664252202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062528869","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98588616,0.00013731835,0.000004387901,0.0024853859,0.00031620005,0.00058378733,0.00000847456,0.000042456122,0.010535828],"genre_scores_gemma":[0.997348,0.000015914029,0.00007432523,0.0013447971,0.00006709397,0.00010228898,0.0000037148623,0.000025727873,0.0010181122],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9947437,0.002745542,0.00025733956,0.00055407337,0.0010396511,0.000659675],"domain_scores_gemma":[0.9977187,0.0016709921,0.00003434714,0.00044095065,0.000034790188,0.0001002264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021480992,0.00015427137,0.00012986039,0.00026042986,0.0004259385,0.00016987746,0.0005265486,0.00008961442,0.0004272532],"category_scores_gemma":[0.002676766,0.000111103946,0.00006992101,0.0010530208,0.0003459118,0.00020302979,0.00010101955,0.00058534293,0.0002213458],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008689498,0.0001936525,0.00014678614,0.0000022754837,0.0000013641368,0.00018932114,0.0010077466,0.000013785077,0.9795338,0.017562393,0.001063996,0.00019797587],"study_design_scores_gemma":[0.000863367,0.00036892825,0.0031729795,0.000011468412,7.4844155e-7,0.000097846285,0.0010069216,0.0011864544,0.98488975,0.00464869,0.0035585056,0.00019433514],"about_ca_topic_score_codex":0.00015338308,"about_ca_topic_score_gemma":0.000023799861,"teacher_disagreement_score":0.012913704,"about_ca_system_score_codex":0.00016079388,"about_ca_system_score_gemma":0.00007610112,"threshold_uncertainty_score":0.46781227},"labels":[],"label_agreement":null},{"id":"W2062575484","doi":"10.1167/11.11.692","title":"Bootstrapping a prior? Effects of experience on the facing bias in biological motion perception","year":2011,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Perception; Biological motion; Computer science; Context (archaeology); Degree (music); Cognitive psychology; Psychology; Artificial intelligence; Motion (physics); Physics; Geography","score_opus":0.12534873327659626,"score_gpt":0.31350025393949316,"score_spread":0.1881515206628969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062575484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980153,0.0000072137323,0.0013308831,0.00008472538,0.0003080405,0.00010901767,2.2021558e-7,0.0000047264693,0.0001398781],"genre_scores_gemma":[0.9996847,0.00007813468,0.00004704274,0.00014970414,0.000030226352,0.0000012049936,6.428604e-8,0.0000033410902,0.000005568128],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99908614,0.0001988997,0.00028788048,0.0001137087,0.00021639476,0.000096977725],"domain_scores_gemma":[0.9992619,0.00031744083,0.00028369238,0.00008089835,0.000029535884,0.000026505915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036018304,0.00006730359,0.00011505423,0.00012467438,0.000060987597,0.00001379228,0.00012606641,0.000045788598,0.00002314021],"category_scores_gemma":[0.00078495115,0.000036074132,0.0000709253,0.00017587734,0.000052688854,0.00017743894,0.00002387507,0.00019713008,0.0000034119116],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009925988,0.00009989933,0.0015576056,0.000007826446,5.7613784e-7,0.000014380894,0.001157269,0.000053657215,0.9839809,0.0002649929,0.0000045788383,0.012759083],"study_design_scores_gemma":[0.0004460033,0.0021334216,0.6417285,0.00049625355,0.0000037512093,0.00006147202,0.0004444132,0.0060910266,0.3473992,0.0010897442,0.000020783507,0.000085413914],"about_ca_topic_score_codex":0.0000060635557,"about_ca_topic_score_gemma":6.137806e-7,"teacher_disagreement_score":0.6401709,"about_ca_system_score_codex":0.00003408602,"about_ca_system_score_gemma":0.0000069825473,"threshold_uncertainty_score":0.14710605},"labels":[],"label_agreement":null},{"id":"W2062594160","doi":"10.1016/s0306-4522(99)00571-0","title":"Changes in neuronal conductance during different components of cortically generated spike-wave seizures","year":2000,"lang":"en","type":"article","venue":"Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":65,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Conductance; Depolarization; Hyperpolarization (physics); Chemistry; Neuroscience; Electrophysiology; Epilepsy; Spike-and-wave; Membrane potential; Cortical spreading depression; Electroencephalography; Anesthesia; Psychology; Internal medicine; Medicine; Physics","score_opus":0.061265602426484427,"score_gpt":0.2514815559316894,"score_spread":0.19021595350520498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062594160","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99820113,0.000005897587,0.000013121523,0.00044143308,0.0005694459,0.00022495657,0.000024326793,0.000054363427,0.00046531082],"genre_scores_gemma":[0.9974784,0.00011691876,0.0000149581465,0.0014363299,0.000035321886,0.000011902535,0.0000018048503,0.000015867847,0.0008884459],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99789125,0.00013960627,0.00031249423,0.00069998985,0.00051481766,0.00044182793],"domain_scores_gemma":[0.9993874,0.00009710745,0.00010312259,0.00027347382,0.000025239613,0.00011365559],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007034201,0.00019621127,0.00023211804,0.00013408525,0.00014727777,0.00005478419,0.00033407117,0.000044975193,0.00014097079],"category_scores_gemma":[0.00021216337,0.00016861354,0.000043094413,0.0006382733,0.0003530549,0.0001914524,0.00008311501,0.00022913622,0.000010274089],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007240207,0.00014654532,0.0027728863,0.000014238167,2.0261375e-7,0.00009995224,0.00002797358,0.000691626,0.9950117,0.00029285598,0.000007708535,0.0008619056],"study_design_scores_gemma":[0.0004235986,0.00019047358,0.46478224,0.000024548102,0.0000023581902,0.000084295745,0.0000021045291,0.035307184,0.4987273,0.00013520116,0.00015633828,0.00016434018],"about_ca_topic_score_codex":0.000014164002,"about_ca_topic_score_gemma":0.00003796899,"teacher_disagreement_score":0.4962844,"about_ca_system_score_codex":0.000029338935,"about_ca_system_score_gemma":0.000018481194,"threshold_uncertainty_score":0.687586},"labels":[],"label_agreement":null},{"id":"W2062658342","doi":"10.1007/s10827-010-0284-x","title":"Asymmetric electrotonic coupling between the soma and dendrites alters the bistable firing behaviour of reduced models","year":2010,"lang":"en","type":"article","venue":"Journal of Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Bistability; Soma; Asymmetry; Coupling (piping); Dendrite (mathematics); Nonlinear system; Depolarization; Physics; Neuroscience; Biophysics; Materials science; Mathematics; Biology; Geometry","score_opus":0.03264997979988747,"score_gpt":0.27557713713627646,"score_spread":0.24292715733638898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062658342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99275625,0.000037222224,0.0050212955,0.0014502386,0.000551677,0.00013599398,0.0000052063683,0.0000070502238,0.000035085588],"genre_scores_gemma":[0.9991776,0.000032126678,0.00031726822,0.00036386578,0.00008369858,0.0000017263966,2.221061e-7,0.000008441978,0.000015095309],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984871,0.00006189768,0.00039724013,0.00019719494,0.00065709604,0.00019945178],"domain_scores_gemma":[0.9978811,0.0012675015,0.0005055347,0.00011980209,0.00015656168,0.00006948021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006498892,0.00010107673,0.0001466737,0.00018205255,0.00042224594,0.00014306887,0.0005068297,0.000026126836,0.0000018154954],"category_scores_gemma":[0.00062181865,0.000059344184,0.0000727685,0.0007516407,0.00040228883,0.00044635058,0.00008298454,0.0004883617,3.3446682e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017150642,0.000035305242,0.0034013619,0.000005651089,0.0000017857772,0.000006240911,0.000047799167,0.18854314,0.8014161,0.005066204,0.00002677441,0.0014324614],"study_design_scores_gemma":[0.00033340923,0.00033085005,0.10287667,0.000021113477,0.000028677225,0.0005451765,0.000014603708,0.7623217,0.10173079,0.0316104,0.00006323598,0.00012335902],"about_ca_topic_score_codex":0.0000033928186,"about_ca_topic_score_gemma":8.1721254e-7,"teacher_disagreement_score":0.69968534,"about_ca_system_score_codex":0.000013819186,"about_ca_system_score_gemma":0.00012097791,"threshold_uncertainty_score":0.32476172},"labels":[],"label_agreement":null},{"id":"W2062663877","doi":"10.1016/j.heares.2011.05.018","title":"Activation of presynaptic GABAB receptors modulates GABAergic and glutamatergic inputs to the medial geniculate body","year":2011,"lang":"en","type":"article","venue":"Hearing Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"GABAB receptor; Inferior colliculus; Neuroscience; Postsynaptic potential; Glutamatergic; Excitatory postsynaptic potential; GABAergic; Baclofen; Chemistry; GABAA receptor; Inhibitory postsynaptic potential; Medial geniculate body; Neurotransmission; Agonist; Biology; Receptor; Glutamate receptor; Biochemistry","score_opus":0.14449337534979736,"score_gpt":0.33233903063345843,"score_spread":0.18784565528366107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062663877","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99797595,0.0000103751945,0.000033078453,0.00072486704,0.00021843261,0.00039527193,0.000001924747,0.000030788677,0.00060930185],"genre_scores_gemma":[0.99929935,0.00004981314,0.0000631896,0.00008284804,0.000064245774,0.000028915501,0.000001030724,0.000016870252,0.00039373862],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983346,0.00026102294,0.00018634948,0.00035149368,0.000507786,0.00035873486],"domain_scores_gemma":[0.99915284,0.00033961274,0.000040175008,0.00027538385,0.000087191685,0.000104794846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078774156,0.000092758964,0.000112771515,0.0001970695,0.00025348848,0.000055655157,0.00022787073,0.00005827911,0.00006927705],"category_scores_gemma":[0.0007600141,0.000064136744,0.000030203912,0.00048718485,0.0001605706,0.00015804026,0.00030322428,0.00028277567,0.000042204247],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013899695,0.000039265517,0.0013455838,0.00003186794,0.000003821105,0.000004261198,0.0009931877,0.00018382419,0.994612,0.000987352,0.00009915157,0.001560689],"study_design_scores_gemma":[0.00024780302,0.00042191474,0.049804453,0.00006624606,0.0000041142475,0.000018185476,0.000041574964,0.01791644,0.92891467,0.001973719,0.00046231394,0.00012855137],"about_ca_topic_score_codex":0.00020828382,"about_ca_topic_score_gemma":0.00001212269,"teacher_disagreement_score":0.06569731,"about_ca_system_score_codex":0.00003684958,"about_ca_system_score_gemma":0.00002672042,"threshold_uncertainty_score":0.26154205},"labels":[],"label_agreement":null},{"id":"W2063299629","doi":"10.1503/jpn.110033","title":"Event-related potentials and changes of brain rhythm oscillations during working memory activation in patients with first-episode psychosis","year":2012,"lang":"en","type":"article","venue":"Journal of Psychiatry and Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Working memory; Psychosis; Event-related potential; Psychology; Audiology; Latency (audio); Electroencephalography; Schizophrenia (object-oriented programming); Neuroscience; Cognition; Psychiatry; Medicine","score_opus":0.014900304434241462,"score_gpt":0.23756682738843277,"score_spread":0.22266652295419131,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063299629","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99578047,0.000055355584,0.00017970361,0.0026433358,0.0011597966,0.00014299639,0.0000024043738,0.000006093278,0.000029825433],"genre_scores_gemma":[0.99933326,0.00010530817,0.00013232678,0.00032281855,0.00006720401,0.0000016563232,1.9684124e-7,0.000008748967,0.000028507664],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988282,0.00009607169,0.00034053525,0.0002029967,0.00031748146,0.00021473695],"domain_scores_gemma":[0.9991095,0.00013291753,0.00052897877,0.000094151306,0.000035310233,0.000099124634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030800252,0.00011406952,0.00016693257,0.00027412752,0.00021436664,0.000037146583,0.00009344626,0.00004381579,0.000003908142],"category_scores_gemma":[0.0002388982,0.000088467474,0.00003058039,0.0005615433,0.00012250313,0.000653506,0.00003522772,0.00018311999,1.5630575e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021347149,0.00030217445,0.8449125,0.00005766285,0.00000281465,0.0000011609068,0.00021844471,0.00059773255,0.15213653,0.00037496723,0.000029279612,0.0011532506],"study_design_scores_gemma":[0.00095985027,0.00037529657,0.98912466,0.0002343791,0.000010794107,0.00006284367,0.000030979107,0.0003458627,0.00849446,0.000204743,0.000044491753,0.00011166242],"about_ca_topic_score_codex":0.0000058804744,"about_ca_topic_score_gemma":0.000042204316,"teacher_disagreement_score":0.14421213,"about_ca_system_score_codex":0.000014811303,"about_ca_system_score_gemma":0.000013117352,"threshold_uncertainty_score":0.36075988},"labels":[],"label_agreement":null},{"id":"W2063668985","doi":"10.1007/s00221-009-2086-9","title":"Long-range synchronization and local desynchronization of alpha oscillations during visual short-term memory retention in children","year":2009,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Child and Family Research Institute; Simon Fraser University; Down Syndrome Research Foundation; University of British Columbia","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Child Health and Human Development; Canadian Institutes of Health Research; National Institutes of Health; Child and Family Research Institute","keywords":"Neuroscience; Visual cortex; Synchronization (alternating current); Cortex (anatomy); Alpha (finance); Psychology; Developmental psychology; Computer science","score_opus":0.03686683028497791,"score_gpt":0.35167792734111725,"score_spread":0.31481109705613936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063668985","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99718857,0.00019900335,0.0013133312,0.000254653,0.000062162406,0.0006488738,0.00000637118,0.000038369068,0.0002886877],"genre_scores_gemma":[0.9995787,0.00004873147,0.000031121188,0.000055040065,0.00006462028,0.000019629557,0.000040458937,0.000017862065,0.00014379552],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99794114,0.00032678162,0.00030134027,0.00048539188,0.0006002456,0.00034511313],"domain_scores_gemma":[0.99950665,0.00013077258,0.000048889226,0.00016571298,0.00006141121,0.000086548025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004205254,0.00013176865,0.00014364517,0.00041841864,0.0002779991,0.0000739138,0.00013023044,0.00009005189,0.000066080494],"category_scores_gemma":[0.00020935149,0.00013726816,0.00003560399,0.0007637692,0.0002658244,0.00043084178,0.00010056797,0.00022088559,0.000006573517],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008036849,0.00024318136,0.03427094,0.000015879494,0.0000025139145,0.000010095685,0.00029653896,0.00029386688,0.9578613,0.00042268066,0.000020739762,0.0064819157],"study_design_scores_gemma":[0.0006760278,0.00043332778,0.5085187,0.00005389652,0.0000017310133,0.000040890456,0.00015736705,0.025754012,0.4641313,0.00009712311,7.9921904e-7,0.00013483218],"about_ca_topic_score_codex":0.0000466795,"about_ca_topic_score_gemma":0.000017222568,"teacher_disagreement_score":0.49372998,"about_ca_system_score_codex":0.00027086452,"about_ca_system_score_gemma":0.00003714115,"threshold_uncertainty_score":0.5597633},"labels":[],"label_agreement":null},{"id":"W2064106708","doi":"10.3389/fncir.2015.00011","title":"Imbalance of excitation and inhibition at threshold level in the auditory cortex","year":2015,"lang":"en","type":"article","venue":"Frontiers in Neural Circuits","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Alberta Innovates; University of Calgary","keywords":"Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Neuroscience; Postsynaptic Current; Postsynaptic potential; Auditory cortex; Post-tetanic potentiation; Stimulus (psychology); Membrane potential; Chemistry; Psychology","score_opus":0.06177592417084057,"score_gpt":0.2544770335193263,"score_spread":0.19270110934848575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064106708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99709314,0.00011791863,0.00021080072,0.0003386601,0.0011738914,0.000252688,0.000015123506,0.000012961235,0.00078484224],"genre_scores_gemma":[0.999121,0.000030472307,0.000017972203,0.00056460826,0.00006129047,0.000016334952,0.000006515602,0.000008404456,0.00017339268],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989336,0.00013013846,0.00022200424,0.00026848784,0.00027352403,0.00017222518],"domain_scores_gemma":[0.99962085,0.00006918985,0.00010788004,0.00013949758,0.000024135314,0.00003843623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002704977,0.00009916657,0.00013974044,0.00013026752,0.00004553578,0.000020582263,0.000113433984,0.00005515965,0.0000013853506],"category_scores_gemma":[0.00022378286,0.00007959006,0.000023350509,0.0003295108,0.00012247058,0.00025357134,0.00003467224,0.00016058983,0.0000018868419],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018710001,0.00019083565,0.19669893,0.00009370915,0.0000032250123,0.00012179689,0.0034364471,0.00090686657,0.75187033,0.0016954059,0.030444538,0.014350802],"study_design_scores_gemma":[0.0015456437,0.00022003401,0.9399879,0.00004567815,0.000006036703,0.000049301423,0.0005176558,0.042199396,0.005628604,0.009251252,0.00033066553,0.00021782504],"about_ca_topic_score_codex":0.000015620853,"about_ca_topic_score_gemma":0.00004076866,"teacher_disagreement_score":0.74624175,"about_ca_system_score_codex":0.00007695899,"about_ca_system_score_gemma":0.000018754445,"threshold_uncertainty_score":0.32455885},"labels":[],"label_agreement":null},{"id":"W2064132244","doi":"10.1167/6.6.117","title":"Power spectrum classification image analysis reveals localized mechanisms underlying nonlinear detection of narrowband stimuli","year":2010,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Narrowband; Spatial frequency; Computer science; Spectral density; Artificial intelligence; Pattern recognition (psychology); Linear filter; SIGNAL (programming language); Linear model; Mathematics; Physics; Computer vision; Optics; Telecommunications; Filter (signal processing)","score_opus":0.03004159720213359,"score_gpt":0.3178044682566534,"score_spread":0.2877628710545198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064132244","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8529791,0.00000519659,0.1455727,0.00047622394,0.00075993343,0.000085808315,0.000004726699,0.00001207562,0.00010421524],"genre_scores_gemma":[0.9971444,0.000024928377,0.002611146,0.000084499654,0.000051061274,5.1471227e-7,0.0000012911923,0.000013093348,0.0000690669],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984354,0.00012288877,0.00059620437,0.00020593223,0.00049640436,0.00014319793],"domain_scores_gemma":[0.9984791,0.00017818261,0.0008703168,0.00021319524,0.00017177181,0.00008741676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006937136,0.000114593,0.0002868045,0.0004809329,0.00012462857,0.00006748076,0.00017340835,0.00009972145,0.0001133076],"category_scores_gemma":[0.00048075998,0.00008923704,0.00025306083,0.00079145737,0.000058369424,0.00039967918,0.000026034246,0.00038596342,0.000006508327],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017521145,0.00009817001,0.000057051417,0.000006413384,0.000020305102,0.00000841014,0.00003199998,0.00022260408,0.99676824,0.00042429642,0.000014386792,0.002172924],"study_design_scores_gemma":[0.0009000252,0.0013654719,0.024682282,0.00004025193,0.00020259926,0.00009659325,0.00007906192,0.15536202,0.8100481,0.006848564,0.00020984748,0.00016517162],"about_ca_topic_score_codex":0.0000050990157,"about_ca_topic_score_gemma":0.000013984633,"teacher_disagreement_score":0.18672012,"about_ca_system_score_codex":0.00004025523,"about_ca_system_score_gemma":0.000026991585,"threshold_uncertainty_score":0.36389807},"labels":[],"label_agreement":null},{"id":"W2064258037","doi":"10.1016/j.bbr.2010.04.048","title":"Conservative motor systems, behavioral modulation and neural plasticity","year":2010,"lang":"en","type":"article","venue":"Behavioural Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Scratching; Neuroscience; Motor system; Plasticity; Neural system; Neuroplasticity; Psychology; Biology; Computer science; Physics","score_opus":0.19137439545889237,"score_gpt":0.3912305326078806,"score_spread":0.19985613714898823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064258037","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963483,0.0000060422904,0.00005024313,0.0017547287,0.00069689064,0.000778256,0.00011015856,0.00010174615,0.00015362383],"genre_scores_gemma":[0.99748856,0.00000290251,0.000069186324,0.00015600248,0.00012217424,0.00008734981,0.000015501322,0.00002896976,0.0020293533],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9971756,0.0004934159,0.00028243632,0.0006305063,0.0008232221,0.00059483136],"domain_scores_gemma":[0.9979271,0.0012602422,0.00007730538,0.00025210992,0.00022934348,0.00025384052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007103483,0.00018894431,0.00019085067,0.00025285516,0.0006222031,0.00035503588,0.0002712749,0.00016384352,0.00007249888],"category_scores_gemma":[0.0012974414,0.00016525156,0.000049360726,0.00042090667,0.0005739804,0.0004188555,0.00021347369,0.0011623021,0.000030169602],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000086448694,0.00010344528,0.026651498,0.000012555734,0.0000010999526,0.000050201463,0.00007973071,0.00001440062,0.9663025,0.003920257,0.0006143325,0.002163521],"study_design_scores_gemma":[0.0010598366,0.0009564223,0.72626734,0.00002671489,0.000013117104,0.00024479008,0.00019695134,0.24410178,0.02539223,0.0005547564,0.0007164729,0.0004695896],"about_ca_topic_score_codex":0.0012311144,"about_ca_topic_score_gemma":0.00024766466,"teacher_disagreement_score":0.9409103,"about_ca_system_score_codex":0.000053390042,"about_ca_system_score_gemma":0.00005572631,"threshold_uncertainty_score":0.6738763},"labels":[],"label_agreement":null},{"id":"W2064587379","doi":"10.1167/1.3.190","title":"Estimating time-to-collision: Further investigations of an animal model.","year":2010,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Collision; Kinematics; Visual cortex; Modulation (music); Correlation; Time perception; Neuroscience; Simulation; Physics; Perception; Computer science; Mathematics; Psychology; Acoustics; Classical mechanics; Geometry","score_opus":0.02169818162325032,"score_gpt":0.29464877266309264,"score_spread":0.2729505910398423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064587379","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996127,0.0000012704622,0.002131392,0.0010042693,0.00032545254,0.00007210847,0.0000045440506,0.000009956114,0.00032401478],"genre_scores_gemma":[0.9590762,6.175237e-7,0.040309638,0.00030546694,0.00015718429,4.73005e-7,4.412369e-7,0.000011631199,0.00013833765],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903,0.000046039775,0.00035437974,0.0001247523,0.00034514672,0.000099695346],"domain_scores_gemma":[0.9991527,0.0001021009,0.0003199926,0.00014232346,0.00013597067,0.00014688684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035806533,0.00007425619,0.00013594986,0.00014845686,0.0000876939,0.00004383447,0.00019118474,0.00004947068,0.00008116226],"category_scores_gemma":[0.0007288135,0.000055950164,0.00006151383,0.00022486912,0.000045470773,0.00045797048,0.00004168699,0.00025682768,0.000026995442],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004902526,0.00006781611,0.000025858313,0.0000034483417,8.333292e-7,0.000004961594,0.00008716046,0.03610996,0.9600085,0.00017199665,0.00024654315,0.0032238776],"study_design_scores_gemma":[0.0001973583,0.00079301914,0.0013503283,0.000044847104,0.000007310323,0.000083547064,0.000005944322,0.9002105,0.0948857,0.0022244013,0.00013368636,0.000063351596],"about_ca_topic_score_codex":0.0000013373339,"about_ca_topic_score_gemma":0.0000015904353,"teacher_disagreement_score":0.8651228,"about_ca_system_score_codex":0.000011009401,"about_ca_system_score_gemma":0.000050816707,"threshold_uncertainty_score":0.22815815},"labels":[],"label_agreement":null},{"id":"W2064600879","doi":"10.1016/j.neuroimage.2005.01.043","title":"Contrast response in visual cortex: Quantitative assessment with intrinsic optical signal imaging and neural firing","year":2005,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Visual cortex; Contrast (vision); Stimulus (psychology); Spatial frequency; Optics; Physics; Optical imaging; SIGNAL (programming language); Biological system; Computer science; Neuroscience; Psychology","score_opus":0.020803618085057873,"score_gpt":0.3060226340984025,"score_spread":0.28521901601334465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064600879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99569243,0.000016674032,0.0012244362,0.0021798245,0.000095626376,0.0002583017,0.0000067616866,0.00006573911,0.000460223],"genre_scores_gemma":[0.9976591,0.000008561351,0.00063636596,0.0015616686,0.00004419716,0.000011995171,0.000001369378,0.000026525666,0.00005025869],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9982722,0.0002891691,0.00023868553,0.00056337053,0.0002799081,0.000356664],"domain_scores_gemma":[0.99874973,0.0009162336,0.00007446155,0.0001245485,0.000028499233,0.0001065051],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002596449,0.00019047111,0.00019132088,0.00016173221,0.00012979272,0.00016907674,0.000103530954,0.00002515668,0.000018885636],"category_scores_gemma":[0.00023975801,0.0001630004,0.000028353501,0.00026241332,0.00021725404,0.000494124,0.00008799198,0.00039922938,0.00000836082],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016395046,0.00012452112,0.006096204,0.0000073363317,0.0000014553518,0.0006083444,0.00007180583,0.00046351607,0.9717993,0.0010970978,0.000013893348,0.018077008],"study_design_scores_gemma":[0.0018096715,0.0011049954,0.48916754,0.00003069939,0.000010710912,0.00033803374,0.00008183915,0.4871582,0.01979286,0.000064834094,0.00015439502,0.00028621466],"about_ca_topic_score_codex":0.0000066231064,"about_ca_topic_score_gemma":0.000021127122,"teacher_disagreement_score":0.95200646,"about_ca_system_score_codex":0.000058173213,"about_ca_system_score_gemma":0.0000427024,"threshold_uncertainty_score":0.66469634},"labels":[],"label_agreement":null},{"id":"W2064853258","doi":"10.1016/j.neunet.2011.03.003","title":"A bistable computational model of recurring epileptiform activity as observed in rodent slice preparations","year":2011,"lang":"en","type":"article","venue":"Neural Networks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Computer Research Institute of Montréal; Université de Montréal; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Bursting; Bistability; Computational model; Excitatory postsynaptic potential; Neuroscience; Epilepsy; Computer science; Computational neuroscience; Neurostimulation; Biological system; Inhibitory postsynaptic potential; Stimulation; Physics; Biology; Artificial intelligence","score_opus":0.10425908807219988,"score_gpt":0.2742677630494093,"score_spread":0.17000867497720942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064853258","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9861251,0.000006301539,0.010209998,0.000071085145,0.0002589021,0.00026665843,0.000009180869,0.000048577156,0.0030041812],"genre_scores_gemma":[0.99884653,0.0000124330545,0.0005663661,0.00031719886,0.000022006116,0.000026572256,0.000005828496,0.000013644865,0.00018939427],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988655,0.00007861787,0.00026590412,0.00033714948,0.00020013873,0.0002527107],"domain_scores_gemma":[0.9994157,0.00014638384,0.00015189983,0.00018182694,0.000042606123,0.00006156483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012725606,0.00012739866,0.00016362478,0.00007660526,0.000103308455,0.000024941864,0.00016917782,0.00006900188,0.00003305526],"category_scores_gemma":[0.00008243358,0.00012314215,0.00006686085,0.00034822503,0.000054594413,0.00039410047,0.0000811915,0.00023774171,0.000004736307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015685966,0.00014732812,0.001957888,0.000008323787,0.0000018996974,0.0000030853496,0.00016485542,0.9746663,0.01829413,0.002947096,0.000041814517,0.0016104312],"study_design_scores_gemma":[0.0002577362,0.000101444646,0.008013958,0.000015261008,0.00000475781,0.0000052183273,0.000006869283,0.9844662,0.00415973,0.002847475,0.000007958532,0.00011339018],"about_ca_topic_score_codex":0.00022115081,"about_ca_topic_score_gemma":0.00025826058,"teacher_disagreement_score":0.0141344,"about_ca_system_score_codex":0.000045300927,"about_ca_system_score_gemma":0.000027983315,"threshold_uncertainty_score":0.50215906},"labels":[],"label_agreement":null},{"id":"W2064965260","doi":"10.1371/journal.pcbi.1000196","title":"Noise during Rest Enables the Exploration of the Brain's Dynamic Repertoire","year":2008,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":615,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital","funders":"Centre National de la Recherche Scientifique; Deutsche Forschungsgemeinschaft; James S. McDonnell Foundation","keywords":"Neuroscience; Noise (video); Resting state fMRI; Functional magnetic resonance imaging; Consciousness; Communication noise; Brain activity and meditation; Rest (music); Computer science; Default mode network; Dynamic functional connectivity; Cognition; Nerve net; Magnetoencephalography; Physics; Psychology; Electroencephalography; Artificial intelligence; Acoustics","score_opus":0.045868263015244194,"score_gpt":0.2504875902263835,"score_spread":0.20461932721113932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064965260","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898289,0.000016315103,0.0006014672,0.0088594,0.00024391882,0.00019343484,0.000019868414,0.000032813296,0.00020390395],"genre_scores_gemma":[0.99848634,0.000020435631,0.000088336004,0.0009967983,0.000044934462,0.000017026117,0.00001590141,0.000007962688,0.00032224084],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990823,0.00020842515,0.00019995701,0.00023361116,0.0001500664,0.00012561488],"domain_scores_gemma":[0.9989591,0.0006500318,0.00013914659,0.0001724007,0.00006183972,0.000017474866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006236856,0.00008365875,0.000093493196,0.000043139233,0.00047128912,0.000008753376,0.00022032586,0.00004295503,0.000011457884],"category_scores_gemma":[0.0005151706,0.00004699058,0.000057235775,0.00022753756,0.00031791342,0.00012507895,0.00008746814,0.00011265793,0.000011614575],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004096572,0.00006537258,0.0013121138,0.000010718772,0.0000066624325,0.0000037584562,0.00023388972,0.024621392,0.96185285,0.0114665,0.00009592721,0.00028987267],"study_design_scores_gemma":[0.0012879615,0.00035065945,0.23877513,0.000066531946,0.00002493675,0.00040208138,0.00012963533,0.46236283,0.19669645,0.09814242,0.0013102134,0.00045116054],"about_ca_topic_score_codex":0.000007694455,"about_ca_topic_score_gemma":0.000008158704,"teacher_disagreement_score":0.7651564,"about_ca_system_score_codex":0.000026921218,"about_ca_system_score_gemma":0.000042364998,"threshold_uncertainty_score":0.36248225},"labels":[],"label_agreement":null},{"id":"W2065054148","doi":"10.1152/jn.00420.2002","title":"Neocortical Very Fast Oscillations (Ripples, 80–200 Hz) During Seizures: Intracellular Correlates","year":2003,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":211,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Institute of Neurological Disorders and Stroke","keywords":"Neuroscience; Local field potential; Oscillation (cell signaling); Electrophysiology; Intracellular; Neocortex; Electroencephalography; Physics; Chemistry; Psychology","score_opus":0.01727058598538274,"score_gpt":0.23119019764853133,"score_spread":0.2139196116631486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065054148","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99688417,0.00003146707,0.00036010786,0.0003085075,0.0019140935,0.000093528426,0.0000047052877,0.000024124389,0.00037926962],"genre_scores_gemma":[0.99851507,0.00022086412,0.000089055655,0.0005556133,0.0002586339,0.0000014821081,8.934545e-7,0.000025070973,0.0003333158],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982739,0.0003379413,0.000533397,0.0002852521,0.00023603809,0.00033347166],"domain_scores_gemma":[0.9988567,0.00035446743,0.0003303148,0.00020149002,0.000111791036,0.00014520071],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000055146662,0.00017691597,0.0003016808,0.0001752332,0.00022475445,0.00004292272,0.00021044603,0.00009690734,0.00011266778],"category_scores_gemma":[0.0012723812,0.00014415108,0.00015274591,0.00037046423,0.00016076777,0.0002172982,0.00004756035,0.00058938016,0.000061612416],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010658174,0.00009572431,0.00015087181,0.000009084083,0.000008399096,0.00057295227,0.000028073859,0.008007454,0.9879109,0.0027426472,0.00009137218,0.00027591284],"study_design_scores_gemma":[0.009798109,0.010143855,0.20989758,0.00029387037,0.00044583445,0.046754774,0.00036166492,0.07871563,0.54934186,0.034459367,0.057050936,0.002736555],"about_ca_topic_score_codex":0.0000013233987,"about_ca_topic_score_gemma":4.525315e-7,"teacher_disagreement_score":0.4385691,"about_ca_system_score_codex":0.000039302122,"about_ca_system_score_gemma":0.00007588418,"threshold_uncertainty_score":0.587831},"labels":[],"label_agreement":null},{"id":"W2065066968","doi":"10.1111/ejn.12046","title":"Sound‐specific plasticity in the primary auditory cortex as induced by the cholinergic pedunculopontine tegmental nucleus","year":2013,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Auditory cortex; Basal forebrain; Pedunculopontine nucleus; Pedunculopontine Tegmental Nucleus; Thalamus; Cholinergic; Nucleus basalis; Neuroplasticity; Cholinergic neuron; Psychology; Biology; Medicine; Deep brain stimulation; Internal medicine","score_opus":0.029075295897622987,"score_gpt":0.2371804349944599,"score_spread":0.20810513909683692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065066968","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912333,0.000019936182,0.00017769015,0.0019723098,0.0022476944,0.0002551121,0.0000054926973,0.000018653425,0.0040698345],"genre_scores_gemma":[0.98997337,0.000091108384,0.000017451082,0.009163203,0.00042063865,0.0000028107097,4.34543e-7,0.000025425741,0.00030554936],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99653304,0.0011145887,0.0005981391,0.00040324638,0.00095032074,0.00040066385],"domain_scores_gemma":[0.99848366,0.0004670296,0.00053031364,0.00029272193,0.0000709089,0.00015539663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096400076,0.00021454174,0.00018433762,0.00012042716,0.00044909274,0.00047241113,0.0016273576,0.000020381207,0.00004808709],"category_scores_gemma":[0.0010116005,0.00011597022,0.00011152099,0.0006843474,0.00042650563,0.0006790564,0.00017853478,0.00086507876,0.00012903562],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029623112,0.00015269834,0.00006533687,0.0000024061458,5.06564e-7,0.00018321275,0.00020398808,0.000087688306,0.99259543,0.00010967364,0.005260735,0.001308709],"study_design_scores_gemma":[0.002337714,0.0029376084,0.9211577,0.00007647578,0.000022959308,0.005294117,0.00070257386,0.0034357938,0.011227635,0.0005000336,0.05162268,0.0006846697],"about_ca_topic_score_codex":0.00000623143,"about_ca_topic_score_gemma":7.263435e-7,"teacher_disagreement_score":0.98136777,"about_ca_system_score_codex":0.000059185488,"about_ca_system_score_gemma":0.00006045913,"threshold_uncertainty_score":0.47291285},"labels":[],"label_agreement":null},{"id":"W2065075839","doi":"10.1162/neco_a_00209","title":"Identification and Continuity of the Distributions of Burst-Length and Interspike Intervals in the Stochastic Morris-Lecar Neuron","year":2011,"lang":"en","type":"article","venue":"Neural Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"University of California, San Diego","keywords":"Range (aeronautics); Interval (graph theory); Biological neuron model; Mathematics; Statistical physics; Exponential function; Current (fluid); Function (biology); Biological system; Computer science; Physics; Mathematical analysis; Artificial neural network; Artificial intelligence; Combinatorics; Biology","score_opus":0.037365415368355005,"score_gpt":0.2646221802751912,"score_spread":0.2272567649068362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065075839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99240375,0.0000112474545,0.0067077475,0.00028375039,0.00021745871,0.00030422662,0.000025674652,0.000008881207,0.000037245052],"genre_scores_gemma":[0.9998654,0.0000041546805,0.000010875933,0.00009130571,0.0000075491303,0.0000067543865,0.0000033286476,0.000004040313,0.0000065760037],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991285,0.0002279754,0.00025254764,0.00017738706,0.00013488704,0.000078677636],"domain_scores_gemma":[0.9993855,0.00023356474,0.00020504819,0.00011773274,0.000043621952,0.000014537975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018074473,0.0000714973,0.000096346914,0.000049183363,0.00006936616,0.00002286639,0.00013211409,0.00002358496,0.0000011756376],"category_scores_gemma":[0.00028750283,0.0000461589,0.000030963496,0.00021455898,0.0001807438,0.00013646237,0.00006522588,0.00011537857,2.9606792e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028196114,0.0004429929,0.017650172,0.00017834065,0.000010304642,0.0000045633815,0.010217868,0.002400412,0.89389604,0.02860112,0.000080023616,0.046236206],"study_design_scores_gemma":[0.00034557917,0.00022258119,0.78312784,0.000036489666,0.000024587336,0.000026109894,0.00026643058,0.19209772,0.018634737,0.005137127,0.0000033864023,0.000077404264],"about_ca_topic_score_codex":0.00006162046,"about_ca_topic_score_gemma":0.00003409682,"teacher_disagreement_score":0.8752613,"about_ca_system_score_codex":0.000010376132,"about_ca_system_score_gemma":0.0000051730535,"threshold_uncertainty_score":0.18823054},"labels":[],"label_agreement":null},{"id":"W2065125569","doi":"10.3389/fninf.2013.00048","title":"Nengo: a Python tool for building large-scale functional brain models","year":2014,"lang":"en","type":"article","venue":"Frontiers in Neuroinformatics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":504,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Air Force Office of Scientific Research; Office of Naval Research; Natural Sciences and Engineering Research Council of Canada","keywords":"Python (programming language); Computer science; Java; Syntax; Benchmark (surveying); Simple (philosophy); Computational neuroscience; Programming language; Software engineering; Artificial intelligence","score_opus":0.019150703497373318,"score_gpt":0.23126318435958557,"score_spread":0.21211248086221224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065125569","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17218731,0.0000049409696,0.8222539,0.00085518125,0.0025914,0.0005101878,0.000045248944,0.00011930679,0.0014325241],"genre_scores_gemma":[0.85408974,0.00006486196,0.11675852,0.025999738,0.0005366231,0.00019571198,0.000070650276,0.00013405523,0.002150128],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982984,0.00007363769,0.00049892586,0.00030182328,0.0003254115,0.0005018196],"domain_scores_gemma":[0.99901474,0.0003874981,0.00016760374,0.000312943,0.0000362892,0.00008093552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048957224,0.00020562102,0.00024909456,0.00024690691,0.00022971243,0.00012017218,0.00024716614,0.000093933806,0.000005341502],"category_scores_gemma":[0.0008539693,0.00020051254,0.0001210005,0.000336382,0.00005196341,0.0008732241,0.000089251356,0.0002565749,0.000008568652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00079616945,0.00047647653,0.0022280607,0.00063648424,0.000019285526,0.000010815611,0.0021506043,0.40283763,0.054734636,0.13175376,0.3448936,0.059462465],"study_design_scores_gemma":[0.0009694323,0.0001236391,0.00021349163,0.000018705694,0.0000060665548,0.000011899554,0.000059948812,0.93278956,0.001758433,0.020963335,0.042868275,0.00021723038],"about_ca_topic_score_codex":0.0000010267925,"about_ca_topic_score_gemma":0.0000025606196,"teacher_disagreement_score":0.70549536,"about_ca_system_score_codex":0.00006385508,"about_ca_system_score_gemma":0.000030134577,"threshold_uncertainty_score":0.8176664},"labels":[],"label_agreement":null},{"id":"W2065528056","doi":"10.3758/bf03196707","title":"Merging race models and adaptive networks: A parallel race network","year":2004,"lang":"en","type":"article","venue":"Psychonomic Bulletin & Review","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Race (biology); Generalization; Network model; Cognition; Metric (unit); Computer science; Psychology; Theoretical computer science; Artificial intelligence; Mathematics; Sociology","score_opus":0.03647958606093415,"score_gpt":0.2659592116790338,"score_spread":0.22947962561809965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065528056","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020699356,0.56457675,0.2618208,0.11723253,0.0053909277,0.0060474253,0.000022911643,0.0007311591,0.023478147],"genre_scores_gemma":[0.22289573,0.7265655,0.008915037,0.038556557,0.000808899,0.00026486922,0.000007734783,0.00011232585,0.001873401],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99794644,0.00018293218,0.00047271373,0.0007720697,0.0001441974,0.00048166316],"domain_scores_gemma":[0.9989541,0.0002032256,0.0002660216,0.00039795146,0.000023601438,0.00015509337],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00049793086,0.00029315677,0.0005052826,0.000033004566,0.0002407706,0.0000692912,0.00023935261,0.00007228552,0.00013770098],"category_scores_gemma":[0.00007768362,0.00026209865,0.00014469725,0.00025209735,0.00009977049,0.00012020895,0.0001020098,0.0003216453,0.00021950179],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036063534,0.00022280497,0.000035262674,0.00084625644,0.000055846827,0.00005167114,0.00012667025,0.66841805,0.00076173374,0.11221389,0.10595729,0.11094988],"study_design_scores_gemma":[0.0021205558,0.0002766443,0.00015895543,0.006191722,0.00014719769,0.0002531717,0.00001646418,0.09284347,0.000028365435,0.021562133,0.8752782,0.0011231304],"about_ca_topic_score_codex":0.000021857277,"about_ca_topic_score_gemma":0.000004082422,"teacher_disagreement_score":0.7693209,"about_ca_system_score_codex":0.000052671963,"about_ca_system_score_gemma":0.000022963392,"threshold_uncertainty_score":0.99998313},"labels":[],"label_agreement":null},{"id":"W2065956212","doi":"10.3389/fncom.2014.00023","title":"TMS-induced neural noise in sensory cortex interferes with short-term memory storage in prefrontal cortex","year":2014,"lang":"en","type":"article","venue":"Frontiers in Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Wilfrid Laurier University","keywords":"Sensory system; Prefrontal cortex; Neuroscience; Interference theory; Sensory memory; Working memory; Transcranial magnetic stimulation; Sensory cortex; Somatosensory system; Long-term memory; Cortex (anatomy); Sensory stimulation therapy; Psychology; Stimulation; Cognition","score_opus":0.02366917416599984,"score_gpt":0.25140553758798173,"score_spread":0.2277363634219819,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065956212","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98491865,0.000009707538,0.01169434,0.00024485044,0.0022621474,0.0004913381,0.000017208828,0.000062219064,0.00029955956],"genre_scores_gemma":[0.9976548,0.0000058573464,0.0008186507,0.0012719325,0.00004829629,0.0000303861,0.000008047912,0.000030220493,0.00013181247],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99663675,0.0004498394,0.0005137162,0.0011472685,0.0006866367,0.00056581077],"domain_scores_gemma":[0.9990851,0.00032958313,0.00013935259,0.00027130128,0.000038600807,0.00013601482],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00037105428,0.00031158817,0.00035557174,0.0006654433,0.00015324794,0.00013295475,0.00055894756,0.000080277765,0.0000051821767],"category_scores_gemma":[0.0003742772,0.00029275543,0.000053009822,0.001024298,0.0003160048,0.0006826302,0.00014741509,0.0006587334,0.000004236054],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036808822,0.00034363195,0.101571605,0.00002817546,9.4245695e-7,0.00038097458,0.00030300193,0.20598248,0.68429726,0.00024491485,0.000079409496,0.0063995286],"study_design_scores_gemma":[0.00054999255,0.00024334773,0.4881239,0.000032946315,0.0000014965964,0.00005289684,0.00004450384,0.50961655,0.0007756945,0.00033861696,0.000014037361,0.0002060153],"about_ca_topic_score_codex":0.00004062001,"about_ca_topic_score_gemma":0.00016870268,"teacher_disagreement_score":0.68352157,"about_ca_system_score_codex":0.00020711063,"about_ca_system_score_gemma":0.000106157786,"threshold_uncertainty_score":0.99995244},"labels":[],"label_agreement":null},{"id":"W2066103960","doi":"10.1523/jneurosci.4661-12.2012","title":"Natural versus Synthetic Stimuli for Estimating Receptive Field Models: A Comparison of Predictive Robustness","year":2012,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Receptive field; Stimulus (psychology); Computer science; Artificial intelligence; Surround suppression; Predictive coding; Robustness (evolution); Pattern recognition (psychology); Speech recognition; Visual perception; Neuroscience; Psychology; Perception; Mathematics; Coding (social sciences); Cognitive psychology","score_opus":0.11948459996314735,"score_gpt":0.35091657499277545,"score_spread":0.2314319750296281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066103960","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7338522,0.000057567082,0.25787097,0.0003019664,0.007550528,0.00021982519,0.000011085702,0.000014844933,0.00012102871],"genre_scores_gemma":[0.99351805,0.000009680672,0.006058928,0.0001708073,0.0001951694,0.0000043095224,1.5764348e-7,0.0000109598295,0.00003195939],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984175,0.000077731784,0.0004751286,0.00021105228,0.00049910764,0.00031947863],"domain_scores_gemma":[0.9972378,0.0016064054,0.00071777793,0.00013416552,0.00018165921,0.00012218903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039499713,0.00013264682,0.00027752464,0.00013933647,0.00017944626,0.000041060895,0.0003930291,0.000044193293,0.0000027461926],"category_scores_gemma":[0.004499678,0.00010380757,0.00013280967,0.00034935525,0.00016972564,0.0010473377,0.000071652496,0.00031121387,3.8688157e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010880376,0.00027267254,0.00018720247,0.000036944242,0.00000261892,0.0000034343507,0.00053577975,0.23311041,0.75844723,0.00064912846,0.00022200537,0.0054445304],"study_design_scores_gemma":[0.0005312688,0.0015682318,0.00040429787,0.000063058025,0.000026111189,0.000059333284,0.00012447954,0.92642516,0.07046998,0.00018528537,0.00004549426,0.00009729703],"about_ca_topic_score_codex":0.0000015501927,"about_ca_topic_score_gemma":4.8968013e-7,"teacher_disagreement_score":0.69331473,"about_ca_system_score_codex":0.00004571554,"about_ca_system_score_gemma":0.000056176144,"threshold_uncertainty_score":0.538686},"labels":[],"label_agreement":null},{"id":"W2066127151","doi":"10.1523/jneurosci.4367-13.2014","title":"Modulation Dynamics in the Orofacial Sensorimotor Cortex during Motor Skill Acquisition","year":2014,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Center for Advancing Translational Sciences; National Institute of Dental and Craniofacial Research; Canadian Institutes of Health Research","keywords":"Neuroscience; Somatosensory system; Motor cortex; Motor learning; Primary motor cortex; Psychology; Premovement neuronal activity; Electrophysiology; Stimulation","score_opus":0.016061475863073413,"score_gpt":0.24897459888522452,"score_spread":0.23291312302215111,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066127151","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99522716,0.0000014541174,0.0018780046,0.00091662357,0.0015670628,0.00014141251,0.000005502144,0.000012535329,0.00025026503],"genre_scores_gemma":[0.9981472,0.000019265864,0.00004639274,0.0014423215,0.00024239204,0.0000017134722,3.2455608e-7,0.000009210682,0.000091214766],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99814105,0.00028196385,0.00040649946,0.00025536134,0.00067160156,0.00024353483],"domain_scores_gemma":[0.99907386,0.00021865632,0.0003909703,0.00018542394,0.00006638771,0.00006468585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059299095,0.000118945376,0.00014747672,0.00020909148,0.00023489723,0.00014025619,0.00044931617,0.000043099226,0.0000040682617],"category_scores_gemma":[0.001033108,0.00008202024,0.00008668798,0.0005486046,0.00011552289,0.0006226914,0.000041305186,0.00030745164,0.0000046926975],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059230166,0.000069071015,0.0018628477,0.0000061159567,1.7869547e-7,0.000045261226,0.00007170351,0.0013980473,0.9940245,0.0014626804,0.000008811752,0.0009915625],"study_design_scores_gemma":[0.00043287408,0.00040908242,0.6475152,0.000019916717,0.000004466361,0.00062507164,0.00003913874,0.34376743,0.005935305,0.0009682405,0.00017012855,0.00011320564],"about_ca_topic_score_codex":0.0000042422994,"about_ca_topic_score_gemma":0.0000056197705,"teacher_disagreement_score":0.9880892,"about_ca_system_score_codex":0.00012485821,"about_ca_system_score_gemma":0.00002665797,"threshold_uncertainty_score":0.33446884},"labels":[],"label_agreement":null},{"id":"W2066303770","doi":"10.1023/b:jcns.0000023870.23322.0a","title":"Novel Bursting Patterns Emerging from Model Inhibitory Networks with Synaptic Depression","year":2004,"lang":"en","type":"article","venue":"Journal of Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Rehabilitation Institute; University Health Network","funders":"","keywords":"Bursting; Neuroscience; Hippocampus; Inhibitory postsynaptic potential; Synaptic plasticity; Metaplasticity; Hippocampal formation; Neural coding; Computer science; Biology; Psychology","score_opus":0.026148727706014084,"score_gpt":0.25065189461834575,"score_spread":0.22450316691233166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066303770","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5134061,0.0000074179934,0.48583987,0.00025982712,0.00040922133,0.00004071921,0.000004674245,0.000013731374,0.000018461873],"genre_scores_gemma":[0.99136126,0.000010086379,0.0066899084,0.0017380678,0.00017465904,0.0000011731573,0.0000010757212,0.000016318216,0.0000074792624],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99818075,0.000038612576,0.00039701248,0.00033199138,0.0008170922,0.00023457276],"domain_scores_gemma":[0.9988417,0.00027511697,0.00051305257,0.00009916835,0.00013717997,0.00013377752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017092198,0.00014825429,0.00016409233,0.00015096561,0.00029361286,0.00013088304,0.000325972,0.000034725734,0.0000029686257],"category_scores_gemma":[0.0002475277,0.00011330654,0.00006752542,0.00034981885,0.00014823685,0.0006958551,0.00007473511,0.0003545724,0.0000010226368],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038769285,0.00006775803,0.00048815075,0.0000023664265,0.0000011150617,0.000050761628,0.000036909667,0.7727227,0.22549033,0.00047786342,0.0000034935197,0.00061973755],"study_design_scores_gemma":[0.00071885827,0.00018319518,0.008839276,0.00014429804,0.000010644161,0.00051119464,0.000011075566,0.9805188,0.004990985,0.003927659,0.000006676984,0.00013729147],"about_ca_topic_score_codex":0.000007188671,"about_ca_topic_score_gemma":0.0000016188703,"teacher_disagreement_score":0.47914994,"about_ca_system_score_codex":0.000062792285,"about_ca_system_score_gemma":0.00014969405,"threshold_uncertainty_score":0.46205065},"labels":[],"label_agreement":null},{"id":"W2066477421","doi":"10.3389/fncom.2011.00007","title":"Gain Modulation by an Urgency Signal Controls the Speed–Accuracy Trade-Off in a Network Model of a Cortical Decision Circuit","year":2011,"lang":"en","type":"article","venue":"Frontiers in Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Canadian Institutes of Health Research","funders":"Canadian Institutes of Health Research; National Natural Science Foundation of China","keywords":"SIGNAL (programming language); Modulation (music); Computer science; Neuroscience; Psychology; Physics; Acoustics","score_opus":0.05370845856673114,"score_gpt":0.26534904714213803,"score_spread":0.21164058857540688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066477421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5295415,0.000020686215,0.46925086,0.00013493547,0.0005726197,0.00034974384,0.000025284973,0.000018131404,0.000086260785],"genre_scores_gemma":[0.9955783,0.00002033696,0.0031147043,0.0012165001,0.000028781704,0.000009544761,0.0000059305557,0.000013929655,0.000011974358],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973962,0.0003317579,0.00058383524,0.0006302504,0.0006766748,0.00038131166],"domain_scores_gemma":[0.99876416,0.00067777507,0.00021623561,0.00020655473,0.0000344019,0.00010086935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006181379,0.00017166232,0.00023073438,0.00017102074,0.00019162176,0.000051042378,0.0005395857,0.00006408433,0.000008949266],"category_scores_gemma":[0.00072150177,0.00014246599,0.00006407795,0.000963513,0.0003478405,0.0005892113,0.00006236185,0.00030938472,0.0000010984354],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014730055,0.0002522987,0.006882421,0.0000031489524,5.023353e-7,0.000008671404,0.00023121768,0.9219913,0.05601213,0.0054441346,0.00037498333,0.0086518815],"study_design_scores_gemma":[0.00042409744,0.00014382918,0.039963026,0.000015169184,0.0000027124095,0.000008427884,0.00001829766,0.87451446,0.00046269625,0.08430426,0.000015655804,0.00012738744],"about_ca_topic_score_codex":0.000014075659,"about_ca_topic_score_gemma":0.000006261021,"teacher_disagreement_score":0.46613616,"about_ca_system_score_codex":0.000056532135,"about_ca_system_score_gemma":0.00010351394,"threshold_uncertainty_score":0.58095944},"labels":[],"label_agreement":null},{"id":"W2066693695","doi":"10.3389/fnint.2012.00030","title":"Default activity patterns at the neocortical microcircuit level","year":2012,"lang":"en","type":"article","venue":"Frontiers in Integrative Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Heritage Foundation for Medical Research","keywords":"Neuroscience; Neocortex; Psychology","score_opus":0.05924800959992233,"score_gpt":0.28582198541211346,"score_spread":0.22657397581219113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066693695","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9373934,0.000028027622,0.054586828,0.0010262044,0.005218833,0.0003922981,0.000072172945,0.000048002374,0.0012342059],"genre_scores_gemma":[0.9933015,0.00004406007,0.0001078524,0.0031291493,0.00008989358,0.00005657301,0.0000011573569,0.000018719727,0.0032510594],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99748445,0.00038460008,0.00023506403,0.0006530589,0.00047949853,0.0007633108],"domain_scores_gemma":[0.9989703,0.00032600298,0.00012807282,0.00038249168,0.000030929044,0.00016217153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003465874,0.00026206268,0.00022149741,0.00013227056,0.0004741454,0.00010440627,0.0006334335,0.000076225726,0.00003625137],"category_scores_gemma":[0.0014629224,0.00016268081,0.000106220126,0.00077307015,0.000745076,0.0007217897,0.00025635894,0.00058540044,0.000036189682],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052814434,0.00016191037,0.102376916,0.000005011252,8.333683e-7,0.000012608498,0.00058808824,0.00003744905,0.8821927,0.0010690325,0.0046439627,0.008858675],"study_design_scores_gemma":[0.00037551357,0.00017452799,0.47478983,0.000030438665,0.000010210066,0.00011441556,0.00035304032,0.014320213,0.49791977,0.0007806145,0.010685534,0.00044589894],"about_ca_topic_score_codex":0.00006588245,"about_ca_topic_score_gemma":0.00008542016,"teacher_disagreement_score":0.38427293,"about_ca_system_score_codex":0.00027330752,"about_ca_system_score_gemma":0.000044094315,"threshold_uncertainty_score":0.6633931},"labels":[],"label_agreement":null},{"id":"W2066759535","doi":"10.3758/s13420-012-0082-6","title":"Evaluating the TD model of classical conditioning","year":2012,"lang":"en","type":"article","venue":"Learning & Behavior","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":113,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Classical conditioning; Generalization; Conditioning; Psychology; Temporal difference learning; Reinforcement; Artificial intelligence; Moment (physics); Representation (politics); Unconditioned stimulus; Stimulus (psychology); Reinforcement learning; Cognitive psychology; Computer science; Mathematics; Statistics; Social psychology; Physics","score_opus":0.14479181817288486,"score_gpt":0.37614804133235996,"score_spread":0.2313562231594751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066759535","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997903,0.000007466737,0.000977148,0.00015771695,0.00024187629,0.00012769179,0.0000027753028,0.00005068048,0.0005316362],"genre_scores_gemma":[0.9977346,0.0000015632558,0.0003205493,0.00015441119,0.00007703848,0.000033665678,0.000003115084,0.000014296466,0.0016607571],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99901485,0.000169679,0.0001582818,0.00014914555,0.0002843626,0.00022369769],"domain_scores_gemma":[0.99943066,0.000247779,0.00012385836,0.00012868844,0.000023798259,0.00004519796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036863846,0.00007664115,0.00008673492,0.000030252864,0.00029932975,0.000028055838,0.00011352707,0.00003517788,0.00007150549],"category_scores_gemma":[0.0005353733,0.000054825832,0.00005840492,0.000117392556,0.000092824055,0.00016627966,0.00005501763,0.00032400934,0.00003172984],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000075350385,0.00005364143,0.00896665,0.0000022029253,5.988441e-7,4.4355411e-7,0.00020667823,0.013635491,0.9651689,0.0037529685,0.000014905742,0.008189988],"study_design_scores_gemma":[0.00036759692,0.00027637393,0.051626235,0.00002769844,0.00009369727,0.000029087278,0.00011471857,0.82965153,0.11720023,0.00013188136,0.00026241588,0.00021854021],"about_ca_topic_score_codex":0.0000044143853,"about_ca_topic_score_gemma":4.0906394e-7,"teacher_disagreement_score":0.84796864,"about_ca_system_score_codex":0.000020827278,"about_ca_system_score_gemma":0.000014232773,"threshold_uncertainty_score":0.23022327},"labels":[],"label_agreement":null},{"id":"W2067032659","doi":"10.3389/fnhum.2014.01004","title":"Your body, my body, our coupling moves our bodies","year":2014,"lang":"en","type":"article","venue":"Frontiers in Human Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"International Laboratory for Brain, Music and Sound Research; McGill University; Centre for Research on Brain Language and Music","funders":"","keywords":"Coupling (piping); Anatomy; Medicine; Engineering; Mechanical engineering","score_opus":0.034287677549191924,"score_gpt":0.2816277619448288,"score_spread":0.24734008439563687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067032659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95971864,0.00003807142,0.024736553,0.001691201,0.010577757,0.00047555877,0.000015972093,0.00031445053,0.0024318083],"genre_scores_gemma":[0.9934054,0.000054096796,0.0003402849,0.0022456003,0.00025686962,0.000026924881,0.0000018731739,0.000041394713,0.0036275296],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99664766,0.00013859679,0.0004629017,0.0012452574,0.000675432,0.0008301561],"domain_scores_gemma":[0.99891955,0.000045471657,0.00022403797,0.00058301335,0.000038800597,0.00018911458],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005332629,0.0003432153,0.00036396142,0.000428822,0.00075131824,0.0003371165,0.0010374819,0.00009807642,0.0000027367053],"category_scores_gemma":[0.0011780917,0.00032790686,0.00011563603,0.0005822315,0.00021178072,0.00069374696,0.00029292208,0.00048475145,0.000009483352],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029575178,0.00014495189,0.022425028,0.000033319808,0.000001003734,0.000054722164,0.0001608954,0.007276148,0.95625776,0.0049643437,0.007965983,0.0006862924],"study_design_scores_gemma":[0.0011059066,0.00060974044,0.04157361,0.00009059021,0.000017151278,0.00005829231,0.00061706186,0.84807223,0.08244199,0.012042001,0.012281666,0.0010897819],"about_ca_topic_score_codex":0.000025577468,"about_ca_topic_score_gemma":0.000008889801,"teacher_disagreement_score":0.8738158,"about_ca_system_score_codex":0.00008508008,"about_ca_system_score_gemma":0.000037349175,"threshold_uncertainty_score":0.99991727},"labels":[],"label_agreement":null},{"id":"W2067486892","doi":"10.1109/tbme.2011.2174992","title":"Setting Adaptive Spike Detection Threshold for Smoothed TEO Based on Robust Statistics Theory","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais; Polytechnique Montréal","funders":"Concordia University; Institut national de la recherche scientifique; Université du Québec en Outaouais; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Noise (video); SIGNAL (programming language); Computer science; Pattern recognition (psychology); Detector; Artificial intelligence; Artificial neural network; Multielectrode array; Higher-order statistics; Signal processing; Spike (software development); Background noise; Electroencephalography; Microelectrode; Neuroscience; Physics; Electrode","score_opus":0.03377014298729307,"score_gpt":0.22175605300630963,"score_spread":0.18798591001901654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067486892","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0068008406,0.0000012917695,0.990635,0.00006669681,0.0015740277,0.0003434635,0.000206496,0.00024735634,0.00012485296],"genre_scores_gemma":[0.99020106,0.0000041915882,0.009110983,0.00035599826,0.00007984311,0.00010520542,0.000004071442,0.00004849859,0.00009016697],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873114,0.00003477355,0.00023386559,0.0003883811,0.00028933084,0.0003224949],"domain_scores_gemma":[0.99894196,0.0006388895,0.000053374562,0.00019106228,0.000028616008,0.00014611812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023751483,0.0002048733,0.00014698479,0.00027807316,0.00020119823,0.000023864657,0.00013072236,0.00012464632,0.0000751355],"category_scores_gemma":[0.000094026924,0.0001847676,0.00009848818,0.00031235968,0.00007842872,0.00008603873,0.0000011076345,0.0003450556,0.000016238728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009882406,0.0006188909,7.6434424e-7,0.00009209458,0.000028955541,0.000025059006,0.00015352077,0.432161,0.46003443,0.005272576,0.00005447434,0.10056999],"study_design_scores_gemma":[0.0004994614,0.0007130429,0.000029521278,0.0000428062,0.000022516464,0.000005259316,0.000013894311,0.8074391,0.19054928,0.00031806194,0.00018643976,0.00018064595],"about_ca_topic_score_codex":0.000004976075,"about_ca_topic_score_gemma":0.0000039786073,"teacher_disagreement_score":0.9834002,"about_ca_system_score_codex":0.00009879901,"about_ca_system_score_gemma":0.000024945064,"threshold_uncertainty_score":0.7534604},"labels":[],"label_agreement":null},{"id":"W2067493319","doi":"10.3389/fnins.2014.00318","title":"Neural dynamics implement a flexible decision bound with a fixed firing rate for choice: a model-based hypothesis","year":2014,"lang":"en","type":"article","venue":"Frontiers in Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Attractor; Computer science; Upper and lower bounds; Task (project management); Artificial neural network; Bounded function; Position (finance); Mathematics; Artificial intelligence","score_opus":0.032990544560276065,"score_gpt":0.2698367851389453,"score_spread":0.23684624057866926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067493319","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43190047,0.000004894189,0.5657819,0.00047865888,0.0010431702,0.000582692,0.000041698935,0.00008180968,0.000084745916],"genre_scores_gemma":[0.9790437,0.000006250169,0.01685489,0.0034895507,0.00004351382,0.00016141841,0.0000032164967,0.000044949527,0.00035251252],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971756,0.0001305954,0.0003656989,0.0011125256,0.00046589322,0.0007497308],"domain_scores_gemma":[0.9984012,0.000716321,0.00018391137,0.00048738238,0.000052918655,0.00015824389],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00048638493,0.00029395442,0.0003000184,0.00035221424,0.00047364048,0.00028031666,0.00066062046,0.000061440354,0.0000020104333],"category_scores_gemma":[0.001999152,0.00024727505,0.00009528477,0.0009334069,0.00022711739,0.0004521602,0.00009988636,0.00021125075,0.0000012898041],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012333348,0.00033071742,0.020130072,0.000108485176,0.000002126534,0.000021201575,0.000069248665,0.5808316,0.2825123,0.0021427395,0.0021064715,0.110511735],"study_design_scores_gemma":[0.0012689787,0.000574465,0.004227782,0.000035615274,0.000009008953,0.0000064280457,0.000007772074,0.9788555,0.009329217,0.004224026,0.0011589624,0.00030225303],"about_ca_topic_score_codex":0.000010752723,"about_ca_topic_score_gemma":0.00008402732,"teacher_disagreement_score":0.54892695,"about_ca_system_score_codex":0.00020846132,"about_ca_system_score_gemma":0.00011065917,"threshold_uncertainty_score":0.999998},"labels":[],"label_agreement":null},{"id":"W2067523040","doi":"10.1111/j.1460-9568.2006.05028.x","title":"Ryanodine receptor–transmitter release site coupling increases quantal size in a synapse‐specific manner","year":2006,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Postsynaptic potential; Neurotransmission; Neuroscience; Coupling (piping); Soma; Synapse; Biology; Biophysics; Chemistry; Receptor; Materials science","score_opus":0.021542370623247365,"score_gpt":0.22468506565083546,"score_spread":0.20314269502758808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067523040","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964881,0.00007236077,0.0005708382,0.00077291817,0.0010187562,0.00012352632,0.000015918184,0.000040352166,0.0008972366],"genre_scores_gemma":[0.9972623,0.00019787211,0.00015721237,0.0015473873,0.00032837177,7.914911e-7,8.854985e-7,0.00004346524,0.00046169793],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99703395,0.00044891867,0.00082533655,0.00055013545,0.00067222567,0.00046940782],"domain_scores_gemma":[0.9986043,0.0004131804,0.00046738345,0.00026163153,0.000076923454,0.00017657655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093599915,0.00025070884,0.0002739364,0.00029911136,0.00021844628,0.00022259468,0.00063619774,0.000025055344,0.0000506669],"category_scores_gemma":[0.0008155127,0.0002083897,0.0001560602,0.0008888923,0.00029743966,0.00069055206,0.000101317004,0.00053908286,0.000083920044],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016708704,0.00022811051,0.0015528286,0.000008069605,3.746655e-7,0.0020329063,0.00002912875,0.0034940732,0.9910784,0.00023664776,0.00081521267,0.0003572048],"study_design_scores_gemma":[0.0055743945,0.0031289626,0.71918297,0.0005924538,0.000036445068,0.0057572783,0.000083475265,0.030374339,0.16760609,0.00039594862,0.06566762,0.0016000415],"about_ca_topic_score_codex":0.000015982609,"about_ca_topic_score_gemma":0.0000043567384,"teacher_disagreement_score":0.82347226,"about_ca_system_score_codex":0.00006430391,"about_ca_system_score_gemma":0.000041728425,"threshold_uncertainty_score":0.8497885},"labels":[],"label_agreement":null},{"id":"W2067819282","doi":"10.1371/journal.pone.0054478","title":"Altered Network Communication Following a Neuroprotective Drug Treatment","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Biological Sciences; University of Ottawa","funders":"National Research Council Canada","keywords":"Clustering coefficient; Neuroscience; Average path length; Multielectrode array; Neuroprotection; Cluster analysis; Biology; Computer science; Chemistry; Microelectrode; Graph; Artificial intelligence","score_opus":0.059487732207828034,"score_gpt":0.2298411346679649,"score_spread":0.17035340246013686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067819282","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953307,0.000025375799,0.000042966458,0.0014505875,0.00008340519,0.00077462115,0.0000020552425,0.00011648405,0.0021738263],"genre_scores_gemma":[0.996824,0.000054988308,0.0005600457,0.00066124514,0.000099684294,0.00023588119,0.000004290817,0.00001841915,0.0015414075],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990728,0.00017403232,0.00012868734,0.00024519637,0.00017843551,0.0002008667],"domain_scores_gemma":[0.99931836,0.00017964662,0.00006700897,0.00035797598,0.000023723062,0.00005329876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005251262,0.0001055769,0.00013271045,0.000028157432,0.00024082077,0.000081006925,0.00014861907,0.000022895596,0.000057626123],"category_scores_gemma":[0.000108142165,0.000089357796,0.000060606926,0.00017278541,0.000025539404,0.0002107988,0.000059006496,0.00010701132,0.0002568907],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020805604,0.0008485709,0.00065108086,0.000009303441,0.000038729173,0.000003952177,0.0002268613,0.00012086361,0.99338657,0.00054641895,0.00025758057,0.0038892871],"study_design_scores_gemma":[0.0024498305,0.0013204219,0.020042807,0.00051595055,0.00020978435,0.000008889719,0.000092865455,0.16589257,0.78444314,0.023478137,0.0007070667,0.0008385307],"about_ca_topic_score_codex":0.00016266212,"about_ca_topic_score_gemma":0.000017659468,"teacher_disagreement_score":0.2089434,"about_ca_system_score_codex":0.000063588086,"about_ca_system_score_gemma":0.000008605417,"threshold_uncertainty_score":0.36439052},"labels":[],"label_agreement":null},{"id":"W2067847263","doi":"10.1007/s10867-007-9041-4","title":"Fluctuations in Neuronal Synchronization in Brain Activity Correlate with the Subjective Experience of Visual Recognition","year":2007,"lang":"en","type":"article","venue":"Journal of Biological Physics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; SickKids Foundation; Hospital for Sick Children","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Magnetoencephalography; Synchronization (alternating current); Noise (video); Moment (physics); Brain activity and meditation; Neuroscience; Visual cortex; Psychology; Cortex (anatomy); Premovement neuronal activity; Perspective (graphical); Functional magnetic resonance imaging; Temporal cortex; Frontal cortex; Electroencephalography; Pattern recognition (psychology); Cognitive psychology; Computer science; Artificial intelligence; Physics","score_opus":0.03738741235801705,"score_gpt":0.2918119553490438,"score_spread":0.25442454299102674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067847263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97283804,0.0000028669215,0.026600521,0.00027532314,0.00010169161,0.00010832904,0.0000025184765,0.00000338722,0.00006730683],"genre_scores_gemma":[0.99965185,0.000016373051,0.00004316235,0.00021962565,0.00005887468,0.0000015674655,0.0000010984356,0.0000035615797,0.000003893493],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99917215,0.00017215802,0.00023068595,0.00012321796,0.00017827594,0.00012348482],"domain_scores_gemma":[0.9987148,0.000819242,0.0003226469,0.00004473231,0.00007465371,0.000023892246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036248824,0.00007273705,0.00013052353,0.000061647894,0.000045654237,0.000010721553,0.00009220667,0.00004523752,0.0000055253404],"category_scores_gemma":[0.00046539443,0.000040932446,0.000038975413,0.0005633708,0.00015574026,0.00022355188,0.000020361387,0.0002942204,8.983376e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007245093,0.00045437866,0.009036697,0.000003479956,0.0000025084564,0.000022659773,0.00056796876,0.0036443714,0.95291525,0.00038330426,0.0000055132805,0.032239385],"study_design_scores_gemma":[0.0008917483,0.0020345186,0.8661285,0.000055881945,0.000005737409,0.000047572805,0.00036699805,0.015939483,0.10889608,0.0054819006,0.000012132814,0.00013942063],"about_ca_topic_score_codex":0.000009269705,"about_ca_topic_score_gemma":0.000025904596,"teacher_disagreement_score":0.85709184,"about_ca_system_score_codex":0.00005852204,"about_ca_system_score_gemma":0.000030998417,"threshold_uncertainty_score":0.16691768},"labels":[],"label_agreement":null},{"id":"W2067975977","doi":"10.1523/jneurosci.4107-11.2012","title":"Internalized Timing of Isochronous Sounds Is Represented in Neuromagnetic Beta Oscillations","year":2012,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":636,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; McMaster University; Baycrest Hospital","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Magnetoencephalography; Rhythm; Stimulus (psychology); Neuroscience; Psychology; Motor system; Beta Rhythm; Phase coherence; Auditory cortex; Electroencephalography; Motor cortex; Stimulation; Physics; Cognitive psychology","score_opus":0.06800228444738922,"score_gpt":0.3131688231443068,"score_spread":0.24516653869691757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067975977","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99578226,0.000052483407,0.0007523302,0.0008423084,0.0016466845,0.00009885632,0.000004710039,0.0000096093745,0.0008107377],"genre_scores_gemma":[0.9983232,0.000091559894,0.00013368393,0.0010063733,0.00009171671,9.878584e-7,8.146359e-8,0.000011814425,0.00034058146],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9980153,0.00017478451,0.0006611799,0.00023310562,0.00057751674,0.0003381451],"domain_scores_gemma":[0.99863726,0.0002822432,0.00062240096,0.00023496556,0.000080660255,0.00014250001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043643976,0.00012532706,0.000246016,0.00038593347,0.00009219562,0.00005426194,0.00047143674,0.000036737,0.000043637978],"category_scores_gemma":[0.0012174945,0.000105449886,0.0001282411,0.0008897846,0.0002197495,0.000787539,0.00012178148,0.0003062828,0.0000044263284],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003750679,0.00015338331,0.014729853,0.00000933903,5.5313717e-7,0.000025663081,0.00027898003,0.00026902408,0.9834173,0.0001862195,0.0001720891,0.0007201465],"study_design_scores_gemma":[0.0022608254,0.0020490163,0.57520777,0.00023131244,0.000052518928,0.0030286708,0.0001370496,0.09205219,0.31626454,0.0010712976,0.007111193,0.00053358317],"about_ca_topic_score_codex":0.000014139389,"about_ca_topic_score_gemma":0.0000018325143,"teacher_disagreement_score":0.6671527,"about_ca_system_score_codex":0.000042143743,"about_ca_system_score_gemma":0.00005514299,"threshold_uncertainty_score":0.43001214},"labels":[],"label_agreement":null},{"id":"W2068127257","doi":"10.1016/j.jneumeth.2005.07.008","title":"Volume-conducted epileptiform events between adjacent necortical slices in an interface tissue chamber","year":2005,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Savoy Foundation","keywords":"Slice preparation; Amplitude; Extracellular; Local field potential; Electrophysiology; Intracellular; Biophysics; Chemistry; Neuroscience; Nuclear magnetic resonance; Physics; Biology; Optics; Biochemistry","score_opus":0.1040769049038814,"score_gpt":0.42464145362925243,"score_spread":0.32056454872537105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068127257","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9755035,0.000021050033,0.020490836,0.0019820754,0.001676566,0.0001780365,0.0000052486253,0.000025034078,0.00011767321],"genre_scores_gemma":[0.9779642,0.00004938139,0.019983022,0.0011522645,0.0003647289,0.0000029248542,2.9856307e-7,0.00002282098,0.00046030805],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9964,0.000986028,0.0009228077,0.0005154702,0.0006535448,0.0005221522],"domain_scores_gemma":[0.99830055,0.00040201304,0.00055273745,0.00029645677,0.00010281733,0.0003454417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001939676,0.00022600185,0.00042030745,0.00039039986,0.00014744671,0.00013208044,0.0006612934,0.00009322139,0.00007244255],"category_scores_gemma":[0.0021113364,0.00017962666,0.000105690626,0.00093999866,0.00019191054,0.0018379216,0.00015027872,0.00071340817,0.000019040323],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004322313,0.00016730631,0.0063557434,0.0000051344946,7.0086475e-7,0.000034906734,0.00014090918,0.0007287353,0.90293384,0.000046571033,0.0000386688,0.089504294],"study_design_scores_gemma":[0.0009475913,0.0021561189,0.35051373,0.000068094916,0.000027920258,0.000667609,0.00006872814,0.060986046,0.55291855,0.000700901,0.030492695,0.00045197696],"about_ca_topic_score_codex":0.000007229907,"about_ca_topic_score_gemma":0.000012237318,"teacher_disagreement_score":0.35001522,"about_ca_system_score_codex":0.00014265197,"about_ca_system_score_gemma":0.00009291404,"threshold_uncertainty_score":0.73249626},"labels":[],"label_agreement":null},{"id":"W2068136975","doi":"10.1371/journal.pone.0061503","title":"Structure of Spike Count Correlations Reveals Functional Interactions between Neurons in Dorsolateral Prefrontal Cortex Area 8a of Behaving Primates","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Douglas Mental Health University Institute; Ottawa Hospital; McGill University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Dorsolateral prefrontal cortex; Neuroscience; Neuron; Prefrontal cortex; Primate; Chromatin structure remodeling (RSC) complex; Excitatory postsynaptic potential; Biology; Inhibitory postsynaptic potential; Cognition","score_opus":0.0508123824937933,"score_gpt":0.23655763228563587,"score_spread":0.18574524979184256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068136975","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985476,0.000004501728,0.00010331613,0.00015373428,0.0001894645,0.00045474875,0.00028253344,0.00002923276,0.00023483348],"genre_scores_gemma":[0.99915874,0.0000050061994,0.0002416135,0.00005949884,0.000048706217,0.000018863057,0.00006818316,0.000016220833,0.00038315597],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987127,0.000060034945,0.00044459524,0.00027242227,0.000312658,0.00019757847],"domain_scores_gemma":[0.99909717,0.0002849654,0.0002643216,0.0001915957,0.00010456629,0.000057406665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004179625,0.00013120995,0.00025867095,0.00017103917,0.00008142042,0.000027691867,0.00012057008,0.00006015823,0.00049997476],"category_scores_gemma":[0.00019790573,0.00012311405,0.00005469322,0.00023749408,0.00008414216,0.00043672504,0.000066600485,0.00027251552,0.000012824037],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000144016085,0.0002892819,0.19258244,0.000034921486,0.000010872217,6.96044e-7,0.00006755872,0.00011478861,0.8066418,0.00014565473,0.000034128723,0.00006344353],"study_design_scores_gemma":[0.00023828061,0.00013113109,0.914926,0.00011740468,0.000054206186,0.000005016774,0.000019372104,0.007349069,0.07627428,0.00077587063,0.0000027293459,0.000106622705],"about_ca_topic_score_codex":0.00016574205,"about_ca_topic_score_gemma":0.000085047854,"teacher_disagreement_score":0.73036754,"about_ca_system_score_codex":0.0000663461,"about_ca_system_score_gemma":0.000029836407,"threshold_uncertainty_score":0.5474373},"labels":[],"label_agreement":null},{"id":"W2068145550","doi":"10.1111/j.1460-9568.2009.06792.x","title":"Noise‐induced increase in human auditory evoked neuromagnetic fields","year":2009,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Noise (video); Auditory cortex; Magnetoencephalography; Auditory scene analysis; Background noise; Pink noise; Mismatch negativity; Auditory system; Psychology; White noise; Perception; Efferent; Auditory perception; Audiology; Acoustics; Speech recognition; Communication; Physics; Computer science; Afferent; Electroencephalography; Neuroscience; Artificial intelligence; Medicine","score_opus":0.03228963199368149,"score_gpt":0.2592231257886495,"score_spread":0.226933493794968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068145550","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897031,0.0000091137335,0.00012317485,0.0012128607,0.0017267884,0.00010992946,0.0000013762238,0.000033520704,0.0070801014],"genre_scores_gemma":[0.99406725,0.000026380569,0.00003143046,0.0051236427,0.0003277409,3.2982132e-7,1.3453874e-7,0.0000189127,0.00040420002],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9970275,0.0008961862,0.00065796217,0.00043782542,0.0005918133,0.0003886791],"domain_scores_gemma":[0.99881494,0.0001355404,0.00043617433,0.00031153057,0.00006007786,0.00024175059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080533477,0.0002012927,0.00023017538,0.0003829393,0.00021481028,0.00015026912,0.00091657473,0.00002566135,0.00001777762],"category_scores_gemma":[0.0014969142,0.00017467406,0.0001192952,0.00073926465,0.00013212037,0.00054520305,0.00008673558,0.0006483134,0.000019446643],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041536845,0.00014553269,0.00008106093,0.000002831909,1.5761309e-7,0.0020042516,0.00005450951,0.00032441254,0.99364114,0.00018719265,0.00029440917,0.0032229428],"study_design_scores_gemma":[0.0017285189,0.0064426507,0.92985815,0.000100007754,0.000013192369,0.0015281978,0.000016978862,0.0037089835,0.05236817,0.00083303754,0.0029387097,0.00046342015],"about_ca_topic_score_codex":0.0000029189803,"about_ca_topic_score_gemma":0.0000012533468,"teacher_disagreement_score":0.941273,"about_ca_system_score_codex":0.00003528575,"about_ca_system_score_gemma":0.00005358155,"threshold_uncertainty_score":0.7123001},"labels":[],"label_agreement":null},{"id":"W2068635075","doi":"10.3389/fncom.2014.00019","title":"Subtractive, divisive and non-monotonic gain control in feedforward nets linearized by noise and delays","year":2014,"lang":"en","type":"article","venue":"Frontiers in Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Feed forward; Automatic gain control; Control theory (sociology); Monotonic function; Noise (video); Computer science; Feedforward neural network; Artificial neural network; Electric fish; Biological system; Control (management); Mathematics; Artificial intelligence; Telecommunications; Biology; Fish <Actinopterygii>; Engineering; Amplifier","score_opus":0.006781784069197439,"score_gpt":0.2215741857965064,"score_spread":0.21479240172730896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068635075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71690184,0.000028208844,0.2807082,0.0011391259,0.0006423797,0.00036007952,0.00003074086,0.00002137718,0.0001680437],"genre_scores_gemma":[0.9945231,0.000047994265,0.001434443,0.0038933377,0.00001681037,0.00002150433,0.0000036787505,0.000012912002,0.000046193698],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99813914,0.00019114495,0.0002778273,0.000735925,0.0003248539,0.00033108948],"domain_scores_gemma":[0.99902076,0.00060349394,0.00012070039,0.00010725253,0.000029223458,0.00011857445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033556338,0.00017801196,0.00024099553,0.00019653575,0.0001667635,0.00013794983,0.00019430158,0.000057096164,9.807794e-7],"category_scores_gemma":[0.00066387054,0.00017637169,0.000025783276,0.0004853646,0.0003561849,0.00042243063,0.00007917577,0.00026691766,0.0000014635818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059676846,0.00034924783,0.17696886,0.0000480981,0.0000034108223,0.00007877583,0.00040805616,0.24681701,0.55267364,0.0024081992,0.0021708796,0.017477065],"study_design_scores_gemma":[0.001410783,0.00014990824,0.09828975,0.000012105581,0.0000025771335,0.000016207887,0.00000971475,0.8957596,0.0006562594,0.0030783478,0.00044869713,0.00016604128],"about_ca_topic_score_codex":0.000022895836,"about_ca_topic_score_gemma":0.0000058168403,"teacher_disagreement_score":0.6489426,"about_ca_system_score_codex":0.000036494333,"about_ca_system_score_gemma":0.00004116977,"threshold_uncertainty_score":0.7192229},"labels":[],"label_agreement":null},{"id":"W2068683122","doi":"10.3758/s13423-012-0220-3","title":"In and out of consciousness: Sustained electrophysiological activity reflects individual differences in perceptual awareness","year":2012,"lang":"en","type":"article","venue":"Psychonomic Bulletin & Review","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Psychology; Consciousness; Neural correlates of consciousness; Perception; Cognitive psychology; Electroencephalography; Stimulus (psychology); Cognition; Brain activity and meditation; Visual Objects; Neuroscience","score_opus":0.06552008046001463,"score_gpt":0.3211293284967447,"score_spread":0.2556092480367301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068683122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934938,0.0035964958,0.000008498736,0.0019064097,0.00031675046,0.00043407985,0.000007178504,0.000013520287,0.0002232475],"genre_scores_gemma":[0.97910345,0.019308046,0.000023776765,0.0013855292,0.00005303319,0.00005102634,0.0000018437416,0.000009505205,0.00006377924],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99833137,0.00044283096,0.00035464796,0.000386613,0.00011869319,0.00036586143],"domain_scores_gemma":[0.9992317,0.00033853986,0.00016880059,0.00017801163,0.000013065446,0.000069883085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046296726,0.00017749563,0.00052787375,0.00008891119,0.000040984018,0.000014748094,0.00017571174,0.000074916905,0.00019406702],"category_scores_gemma":[0.0003442782,0.00013836448,0.000056804114,0.00019020692,0.00016238612,0.00009005953,0.00007889966,0.00025370595,0.00002781675],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010809004,0.0024977305,0.09421151,0.004604339,0.00002626559,0.000026929445,0.0014962383,0.0000035180872,0.803291,0.00489711,0.0058616945,0.08200274],"study_design_scores_gemma":[0.003321646,0.0014289457,0.9473734,0.0032059848,0.00007315581,0.000070455004,0.00031411133,0.00020705117,0.006861001,0.0017898546,0.03389045,0.0014639617],"about_ca_topic_score_codex":0.000039396054,"about_ca_topic_score_gemma":0.000019570341,"teacher_disagreement_score":0.8531619,"about_ca_system_score_codex":0.00004365704,"about_ca_system_score_gemma":0.00002744889,"threshold_uncertainty_score":0.56423396},"labels":[],"label_agreement":null},{"id":"W2068809501","doi":"10.1038/nn.3867","title":"Visualizing mammalian brain area interactions by dual-axis two-photon calcium imaging","year":2014,"lang":"en","type":"article","venue":"Nature Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":148,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Eye Institute; National Institute of Mental Health; McMaster University; Howard Hughes Medical Institute","keywords":"Calcium imaging; Neuroscience; Visual cortex; Sensory system; Cortex (anatomy); Biology; Physics; Chemistry; Calcium","score_opus":0.020404612573157236,"score_gpt":0.31435602293893744,"score_spread":0.2939514103657802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068809501","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9535869,0.000039684768,0.010958958,0.013752701,0.009658456,0.0005031521,0.00008221392,0.00054034666,0.010877583],"genre_scores_gemma":[0.9632015,0.000006232234,0.00005598534,0.033882897,0.00015192732,0.000018999603,0.0000071810796,0.000038168313,0.0026370673],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99682224,0.00027026722,0.00031904687,0.001224317,0.000693515,0.00067059114],"domain_scores_gemma":[0.99837065,0.000623956,0.00019703411,0.0005037713,0.00006473951,0.00023982821],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040333875,0.0003135243,0.00021263196,0.00023525022,0.00071969465,0.0004141105,0.0005593769,0.00009907473,0.000047752783],"category_scores_gemma":[0.0030585476,0.00028463657,0.000119370845,0.0010865587,0.00029790384,0.00087771105,0.00020774554,0.0011415512,0.000043354015],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014741403,0.000061456616,0.00042239402,0.000007662854,2.7801616e-7,0.00002435105,0.00003331851,0.000045137273,0.98485816,0.003034877,0.009460992,0.0020366637],"study_design_scores_gemma":[0.0005174157,0.00015224697,0.0015809477,0.00003277851,0.000009714817,0.0003901323,0.000024081068,0.17285803,0.61320835,0.0009768957,0.20970613,0.0005432739],"about_ca_topic_score_codex":0.00004071949,"about_ca_topic_score_gemma":0.000022230872,"teacher_disagreement_score":0.37164977,"about_ca_system_score_codex":0.00008011068,"about_ca_system_score_gemma":0.000034537534,"threshold_uncertainty_score":0.9999606},"labels":[],"label_agreement":null},{"id":"W2068902903","doi":"10.1016/j.ijdevneu.2008.09.181","title":"[P2.56]: Expansion of auditory and somatosensory cortices in the blind mutant mouse zrdct in comparison with sighted controls","year":2008,"lang":"en","type":"article","venue":"International Journal of Developmental Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Humanities; Computer science; Art","score_opus":0.04138755985375518,"score_gpt":0.27603378159373343,"score_spread":0.23464622173997823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068902903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986942,0.000017032053,0.00012229414,0.00038341235,0.00056032295,0.00013693872,0.000005879017,0.000003949176,0.00007600974],"genre_scores_gemma":[0.9989575,0.000120858735,0.00017858691,0.0006761826,0.000033951124,0.0000026059145,4.5570627e-7,0.0000057837965,0.000024080256],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99804807,0.00013128982,0.00055232615,0.00021232561,0.00090695685,0.00014902944],"domain_scores_gemma":[0.9990232,0.00032547172,0.00045563618,0.000058733487,0.00009122899,0.000045743363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027704757,0.00011224306,0.00018783477,0.00030951624,0.00007779958,0.00004764287,0.0004762545,0.000026090582,0.000003328704],"category_scores_gemma":[0.00034014997,0.0000717517,0.00003354653,0.0003185546,0.00034205065,0.0004802836,0.000060834776,0.00023694556,8.2114633e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039020283,0.00019125894,0.038141035,0.0000031027503,0.0000020872872,0.00046910363,0.00075306103,0.00041395618,0.9591507,0.00007955219,0.000017414519,0.00038854242],"study_design_scores_gemma":[0.0038790707,0.0006601711,0.47154734,0.00015226792,0.0000062996496,0.0042988406,0.0007107334,0.009400982,0.5086712,0.00009867196,0.00035089083,0.0002235176],"about_ca_topic_score_codex":0.000013363057,"about_ca_topic_score_gemma":0.000028520371,"teacher_disagreement_score":0.45047948,"about_ca_system_score_codex":0.000060329297,"about_ca_system_score_gemma":0.00014722327,"threshold_uncertainty_score":0.29259494},"labels":[],"label_agreement":null},{"id":"W2068948384","doi":"10.1016/j.brainres.2010.09.102","title":"Cross-regional cortical synchronization during affective image viewing","year":2010,"lang":"en","type":"article","venue":"Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":117,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Psychology; Prefrontal cortex; Electroencephalography; Neuroscience; Arousal; Coherence (philosophical gambling strategy); Valence (chemistry); Perception; Sensory system; Synchronization (alternating current); International Affective Picture System; Brain activity and meditation; Cognitive psychology; Cognition; Physics; Computer science; Channel (broadcasting)","score_opus":0.06606025215506549,"score_gpt":0.39277898616306467,"score_spread":0.32671873400799917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068948384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939773,0.0000048190736,0.0005764642,0.0024701974,0.0003526686,0.00033521815,0.000006432644,0.00008467179,0.0021922053],"genre_scores_gemma":[0.9965295,0.0000080068885,0.00013368069,0.00027505046,0.0003181179,0.00003677123,0.000005287749,0.000026572448,0.002667018],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99755996,0.00039710585,0.00016474052,0.0005348193,0.00079859275,0.0005447599],"domain_scores_gemma":[0.9976346,0.0016971878,0.000033011336,0.00028350548,0.0002037163,0.00014799026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011312416,0.00010893368,0.000102914324,0.00019736608,0.0008598854,0.0003188779,0.00027688377,0.00009847841,0.00044184923],"category_scores_gemma":[0.006904703,0.000098454846,0.000057561927,0.0006571404,0.00057031214,0.00037560373,0.00019484943,0.0011255008,0.0003081512],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047839047,0.000058610603,0.0014760103,0.00002477101,0.0000015251375,0.0000466024,0.00008187433,0.000014966109,0.9905219,0.005296419,0.00045746542,0.0019720083],"study_design_scores_gemma":[0.0014357242,0.00030686276,0.36650267,0.000057460056,0.0000038613407,0.00028854166,0.000060456536,0.058001753,0.56150997,0.004277489,0.0070860023,0.00046920028],"about_ca_topic_score_codex":0.000025606338,"about_ca_topic_score_gemma":0.000022582431,"teacher_disagreement_score":0.4290119,"about_ca_system_score_codex":0.00007779925,"about_ca_system_score_gemma":0.000083388375,"threshold_uncertainty_score":0.82660735},"labels":[],"label_agreement":null},{"id":"W2069284171","doi":"10.1152/jn.00718.2007","title":"Relative Location of Inhibitory Synapses and Persistent Inward Currents Determines the Magnitude and Mode of Synaptic Amplification in Motoneurons","year":2007,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Canadian Institutes of Health Research","funders":"Canadian Institutes of Health Research","keywords":"Soma; Renshaw cell; Inhibitory postsynaptic potential; Neuroscience; Synapse; Chemistry; Biophysics; Biology","score_opus":0.02896811233326662,"score_gpt":0.27931839496709837,"score_spread":0.25035028263383174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069284171","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99926984,0.000062686384,0.00016485518,0.00016271845,0.00021766222,0.00010899386,0.0000022966442,0.0000020251305,0.000008897256],"genre_scores_gemma":[0.99953437,0.0003043903,0.000034893827,0.00008670016,0.000028002718,9.437929e-7,2.9712157e-7,0.0000059530566,0.0000044574035],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990473,0.000182068,0.00041456125,0.00013955048,0.0001186266,0.000097901706],"domain_scores_gemma":[0.998769,0.00053800363,0.00043720254,0.00009204818,0.00013325205,0.000030501875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009852517,0.00007912929,0.00018398101,0.00016486403,0.000039533526,0.000005096562,0.000096137635,0.00003676554,5.698627e-7],"category_scores_gemma":[0.0006401752,0.00005454545,0.00004001725,0.00019690655,0.00027761693,0.0001405487,0.000047389396,0.00018991133,2.2779422e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018052189,0.00007904659,0.0009913724,0.00004143289,0.0000057740845,0.000008705667,0.0002037571,0.0022704117,0.9945331,0.00020122992,9.755755e-7,0.00148363],"study_design_scores_gemma":[0.0014024796,0.0045236885,0.8043714,0.00024574416,0.00012238648,0.00069631945,0.0003130931,0.06926356,0.116125114,0.0026718697,0.00003837104,0.00022596354],"about_ca_topic_score_codex":0.000008005257,"about_ca_topic_score_gemma":0.0000015516201,"teacher_disagreement_score":0.878408,"about_ca_system_score_codex":0.000013026218,"about_ca_system_score_gemma":0.000019548223,"threshold_uncertainty_score":0.22242989},"labels":[],"label_agreement":null},{"id":"W2069320602","doi":"10.1007/s11538-011-9647-3","title":"A Continuum Neuronal Model for the Instigation and Propagation of Cortical Spreading Depression","year":2011,"lang":"en","type":"article","venue":"Bulletin of Mathematical Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; York University","keywords":"Cortical spreading depression; Extracellular; Intracellular; Biophysics; Ion; Ion channel; Chemistry; Neuroscience; Physics; Biological system; Biology; Medicine; Receptor","score_opus":0.06471024943217248,"score_gpt":0.26452346923467857,"score_spread":0.1998132198025061,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069320602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79976153,0.000008663367,0.19845088,0.0005129385,0.000056622146,0.00042085195,0.000010543945,0.000013290467,0.0007646947],"genre_scores_gemma":[0.9957526,0.000007256119,0.003986908,0.00013237374,0.000011177477,0.000029614686,0.00000131991,0.0000054438,0.00007330877],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938446,0.000060814542,0.0002447905,0.00015462733,0.00005986271,0.00009545016],"domain_scores_gemma":[0.9987203,0.0009978261,0.00012930902,0.000092741495,0.00003593025,0.000023912573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022487286,0.00006147501,0.00013326979,0.000021278087,0.000055162494,0.0000033694862,0.000082140796,0.00005541314,0.000043744683],"category_scores_gemma":[0.0015514111,0.0000363423,0.000034740224,0.000028115712,0.00027575923,0.000011943375,0.000048779737,0.00006312891,0.000002686703],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017405259,0.00009846925,0.00025529208,0.00009597105,0.0000035017983,1.626186e-7,0.00017030314,0.000011853245,0.77750856,0.2186448,0.00011346167,0.0029236025],"study_design_scores_gemma":[0.0005123711,0.00038437944,0.0021113788,0.00005374204,0.000037719685,0.000016309432,0.00002103863,0.5148204,0.34647664,0.13530765,0.00016591976,0.00009244369],"about_ca_topic_score_codex":0.000002291407,"about_ca_topic_score_gemma":5.209498e-7,"teacher_disagreement_score":0.51480854,"about_ca_system_score_codex":0.0000026466416,"about_ca_system_score_gemma":0.000007234421,"threshold_uncertainty_score":0.18572961},"labels":[],"label_agreement":null},{"id":"W2069472809","doi":"10.1167/1.3.241","title":"Flicker motion aftereffect produces fMRI activation in MT","year":2010,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Flicker; Percept; Grating; Psychology; Functional magnetic resonance imaging; Perception; Motion (physics); Artificial intelligence; Audiology; Physics; Computer vision; Computer science; Optics; Neuroscience; Medicine","score_opus":0.015166844580278461,"score_gpt":0.2850418433414163,"score_spread":0.26987499876113785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069472809","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99663246,0.0000018763676,0.00045344507,0.0014799016,0.0011150698,0.00009875243,3.313766e-7,0.000007924233,0.00021026975],"genre_scores_gemma":[0.9993397,0.000010237995,0.00014082834,0.0001846943,0.00024675674,0.0000010305077,4.20767e-7,0.0000073475135,0.000068978065],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991687,0.00008348448,0.0002473711,0.00013550716,0.0002649078,0.00010002223],"domain_scores_gemma":[0.99945223,0.000116011295,0.00023980095,0.00009741157,0.000055518372,0.00003902399],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047055617,0.00006871333,0.0001016974,0.00020170098,0.000047439113,0.000050731203,0.00009835386,0.000054038355,0.00003101529],"category_scores_gemma":[0.0007123329,0.000048893795,0.00005148686,0.00021743064,0.000020087482,0.0006007722,0.000020188972,0.0003738496,0.000011469104],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000088889785,0.00008728192,0.00076665555,0.000006430308,5.212577e-7,0.000006276807,0.000040283277,0.000032063246,0.9579526,0.00013053759,0.00012605345,0.040762417],"study_design_scores_gemma":[0.00054201926,0.00049816235,0.21632344,0.000080027196,0.0000038550374,0.00007655229,0.000008202918,0.004456009,0.77561706,0.001340119,0.0009658798,0.0000886795],"about_ca_topic_score_codex":0.0000034928755,"about_ca_topic_score_gemma":0.0000070543138,"teacher_disagreement_score":0.21555677,"about_ca_system_score_codex":0.000027412667,"about_ca_system_score_gemma":0.000015116688,"threshold_uncertainty_score":0.19938311},"labels":[],"label_agreement":null},{"id":"W2069551917","doi":"10.1007/s00221-010-2483-0","title":"Effects of electrical coupling among layer 4 inhibitory interneurons on contrast-invariant orientation tuning","year":2010,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Inhibitory postsynaptic potential; Neuroscience; Excitatory postsynaptic potential; Postsynaptic potential; Coupling (piping); Visual cortex; Biophysics; Electrophysiology; Physics; Chemistry; Biology; Materials science; Receptor","score_opus":0.03950519872127166,"score_gpt":0.35554023877595153,"score_spread":0.31603504005467986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069551917","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970712,0.00001515907,0.00013348112,0.0002287762,0.0007837152,0.0005717306,0.000002919712,0.000051532035,0.0011414572],"genre_scores_gemma":[0.9989783,0.0000032020248,0.00003368907,0.0002828718,0.00017050258,0.000076917,0.0000035688975,0.000031196196,0.00041971178],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976782,0.0002681588,0.00024649934,0.00052506715,0.0008196485,0.00046237887],"domain_scores_gemma":[0.9968038,0.0026883653,0.00007353336,0.00022188776,0.00006197546,0.0001504295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006343757,0.00014613557,0.000159499,0.00029709577,0.00026614533,0.00008780101,0.0002607295,0.00009610993,0.0000724277],"category_scores_gemma":[0.00206068,0.00013281548,0.00006834816,0.00046203,0.0003483499,0.00019439106,0.00014630902,0.0009563541,0.000043734453],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018068243,0.00033231924,0.0003707202,0.000013319676,0.000003241017,0.00005571669,0.00029908487,0.000019955878,0.98803973,0.009839235,0.00048004166,0.0003659612],"study_design_scores_gemma":[0.00071891554,0.00086393644,0.0033207983,0.0000348187,0.0000014428397,0.000007598293,0.00009920266,0.027224064,0.9673819,0.000098718905,0.00013236211,0.00011623113],"about_ca_topic_score_codex":0.00006283068,"about_ca_topic_score_gemma":0.000007493799,"teacher_disagreement_score":0.027204107,"about_ca_system_score_codex":0.00008613326,"about_ca_system_score_gemma":0.00004826002,"threshold_uncertainty_score":0.5416058},"labels":[],"label_agreement":null},{"id":"W2069561354","doi":"10.1007/s00221-003-1675-2","title":"Neocortical activation by electrical and chemical stimulation of the rat inferior colliculus: intra-collicular mapping and neuropharmacological characterization","year":2004,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Inferior colliculus; Neuroscience; Stimulation; Superior colliculus; Chemistry; Basal forebrain; Midbrain; Muscarinic acetylcholine receptor; Forebrain; Cholinergic; Central nervous system; Psychology; Receptor; Nucleus","score_opus":0.04493282773029537,"score_gpt":0.3393117812429312,"score_spread":0.2943789535126358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069561354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99582326,0.000018541561,0.00033448663,0.0029627695,0.0000671801,0.00072872423,0.000005023633,0.000023427965,0.000036575035],"genre_scores_gemma":[0.9990312,0.000018788469,0.000039889466,0.00074074545,0.000047965907,0.000057174315,0.000010257891,0.000012391729,0.000041587842],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99828404,0.000330987,0.0002264146,0.0003896032,0.00049873773,0.00027021515],"domain_scores_gemma":[0.99929196,0.00039184807,0.000059522652,0.00011103685,0.000046262012,0.000099376215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025680423,0.000114721195,0.00012980057,0.00008199409,0.00026639496,0.000090232155,0.00012400137,0.0000901387,0.000021958302],"category_scores_gemma":[0.0007445891,0.00008541811,0.000029979805,0.00059952814,0.0003799024,0.0002082106,0.00018816929,0.00032410386,0.0000020019427],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011938232,0.00017122233,0.00034347735,0.0000075855646,0.000001943992,0.0000028902266,0.00014738839,0.000015094115,0.9965689,0.001562387,0.000054918324,0.0010048199],"study_design_scores_gemma":[0.0008009979,0.00023955059,0.010604583,0.000014460418,0.0000015474718,0.000016857124,0.000034130495,0.008953632,0.9788151,0.000174382,0.00025871547,0.000086059124],"about_ca_topic_score_codex":0.00001054817,"about_ca_topic_score_gemma":1.1384213e-7,"teacher_disagreement_score":0.017753806,"about_ca_system_score_codex":0.00012630818,"about_ca_system_score_gemma":0.000039315328,"threshold_uncertainty_score":0.34832495},"labels":[],"label_agreement":null},{"id":"W2069653992","doi":"10.1007/s00221-003-1611-5","title":"Functional organization of lemniscal and nonlemniscal auditory thalamus","year":2003,"lang":"en","type":"review","venue":"Experimental Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":145,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Neuroscience; Thalamus; Auditory pathways; Auditory cortex; Auditory system; Psychology; Sensory system; Biology","score_opus":0.16811711683347494,"score_gpt":0.4175965152695257,"score_spread":0.24947939843605074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069653992","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002202419,0.9894068,0.00008833243,0.00020068057,0.0018081426,0.0014783321,0.00009057847,0.00006941243,0.004655266],"genre_scores_gemma":[0.0048285136,0.98787504,0.00006964323,0.00013360693,0.0005694191,0.000123458,0.00012637206,0.00013804788,0.006135888],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9958134,0.001226126,0.00051444594,0.00087117753,0.001104735,0.00047011423],"domain_scores_gemma":[0.9978052,0.001376887,0.0001810132,0.00035709128,0.00010855364,0.00017125654],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007769436,0.00033455592,0.0007049019,0.00044121005,0.00038201353,0.000114225426,0.0003009925,0.0003059529,0.0007064635],"category_scores_gemma":[0.0008170573,0.00028253792,0.00016066578,0.0010809288,0.00063466834,0.00017535283,0.0003667633,0.0007689271,0.00014750718],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008840363,0.0018102092,0.00004634546,0.009156234,0.00011332544,0.00018496753,0.00043516536,0.000006677426,0.41744307,0.04286354,0.08907024,0.43878183],"study_design_scores_gemma":[0.00045727135,0.00040651282,0.000035768786,0.0008958677,0.000023509474,0.0003215715,0.00012217734,0.00003791327,0.025791215,0.00015239815,0.97130394,0.0004518306],"about_ca_topic_score_codex":0.000008310548,"about_ca_topic_score_gemma":5.191553e-7,"teacher_disagreement_score":0.88223374,"about_ca_system_score_codex":0.00022427441,"about_ca_system_score_gemma":0.00028893276,"threshold_uncertainty_score":0.9999627},"labels":[],"label_agreement":null},{"id":"W2069729717","doi":"10.1152/jn.00619.2004","title":"Using Heterogeneity to Predict Inhibitory Network Model Characteristics","year":2004,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network","funders":"","keywords":"Inhibitory postsynaptic potential; Computer science; Population; Network dynamics; Biological system; Coherence (philosophical gambling strategy); Network model; Neuroscience; Artificial intelligence; Mathematics; Biology; Statistics","score_opus":0.05682158208047804,"score_gpt":0.2831272438424283,"score_spread":0.22630566176195027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069729717","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906173,0.0000025777908,0.007226867,0.00023813099,0.001789477,0.000079056765,0.0000075691078,0.000014419685,0.000024614963],"genre_scores_gemma":[0.9941562,0.000029212488,0.001099212,0.0037390997,0.0009432114,6.524553e-7,3.7107992e-7,0.00001998053,0.000012108004],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988422,0.000102652964,0.00039983794,0.00021353946,0.00017958415,0.00026218104],"domain_scores_gemma":[0.9992548,0.00006380018,0.00030837342,0.0001539708,0.00007757077,0.00014144748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000049020673,0.00012831631,0.0002593753,0.00008868695,0.000116360185,0.000022364904,0.00021513774,0.000056105466,0.0000027119574],"category_scores_gemma":[0.00023327972,0.00010657233,0.00011595845,0.00018238107,0.00005940967,0.00013701411,0.00009595602,0.00029519075,0.000010547793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000097936594,0.00003444727,0.00001699875,0.0000030917704,0.000001947904,0.00007283909,0.000008391338,0.38820753,0.6112429,0.0001347443,0.000018194714,0.00016099223],"study_design_scores_gemma":[0.0031572653,0.008134476,0.052232027,0.00025228586,0.000141172,0.003951093,0.000009450617,0.6647922,0.24227135,0.022200564,0.0018032704,0.0010548402],"about_ca_topic_score_codex":0.000001142657,"about_ca_topic_score_gemma":2.4631936e-7,"teacher_disagreement_score":0.36897156,"about_ca_system_score_codex":0.000057509413,"about_ca_system_score_gemma":0.00007844578,"threshold_uncertainty_score":0.4345894},"labels":[],"label_agreement":null},{"id":"W2069800338","doi":"10.1121/1.4708507","title":"Noise-induced increase in human auditory evoked fields","year":2012,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital","funders":"","keywords":"Noise (video); Auditory cortex; Magnetoencephalography; Gaussian noise; Acoustics; Amplitude; Physics; Background noise; Auditory system; Audiology; White noise; Computer science; Psychology; Electroencephalography; Medicine; Telecommunications; Neuroscience; Artificial intelligence; Optics","score_opus":0.02244984866157113,"score_gpt":0.2708700414914628,"score_spread":0.2484201928298917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069800338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913278,0.000026701573,0.0037704099,0.0036426496,0.0007410214,0.00009611255,0.0000024102728,0.0000066030316,0.0003862487],"genre_scores_gemma":[0.9961261,0.000056732326,0.00035576048,0.002888076,0.00044256687,6.8417955e-7,7.059716e-8,0.000008790802,0.00012122126],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99869967,0.00027422703,0.000326764,0.000067490146,0.00039283227,0.00023903031],"domain_scores_gemma":[0.9985634,0.0007315274,0.0003578449,0.00021582317,0.000044473276,0.00008691512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005871575,0.00009411726,0.00019467095,0.00001809312,0.00016603894,0.000009415686,0.0004734331,0.0000612399,0.000049735478],"category_scores_gemma":[0.00060869113,0.00004859157,0.00024322637,0.0002517805,0.00028702556,0.00013030405,0.00013943326,0.0005608464,0.0000036817264],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006566521,0.00018467386,0.00033795685,0.000011746828,0.0000106864745,7.619016e-7,0.0003924548,0.00085511245,0.98764133,0.000020710431,0.008803507,0.0016753605],"study_design_scores_gemma":[0.0056156656,0.0036911431,0.20806418,0.0005743274,0.0010315323,0.00072853797,0.0057883784,0.3634953,0.38565567,0.013894008,0.010024099,0.0014371685],"about_ca_topic_score_codex":0.00006940977,"about_ca_topic_score_gemma":6.2489266e-7,"teacher_disagreement_score":0.6019857,"about_ca_system_score_codex":0.000059164617,"about_ca_system_score_gemma":0.000035842335,"threshold_uncertainty_score":0.24366298},"labels":[],"label_agreement":null},{"id":"W2070017000","doi":"10.1063/1.4917014","title":"Intrinsic excitability state of local neuronal population modulates signal propagation in feed-forward neural networks","year":2015,"lang":"en","type":"article","venue":"Chaos An Interdisciplinary Journal of Nonlinear Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Excitatory postsynaptic potential; Local field potential; Inhibitory postsynaptic potential; Transmission (telecommunications); Artificial neural network; Radio propagation; Neuroscience; SIGNAL (programming language); Network dynamics; Telecommunications; Artificial intelligence; Mathematics; Biology","score_opus":0.030739100705055103,"score_gpt":0.30517323450013223,"score_spread":0.27443413379507714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070017000","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9854994,0.0000147645815,0.012979957,0.0003491943,0.00091149355,0.00019776172,0.000008168023,0.0000142947065,0.000024961315],"genre_scores_gemma":[0.99934554,0.0000043400046,0.00036633396,0.00006131654,0.0001936854,0.0000017983906,0.000004017983,0.000014064288,0.000008886512],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99723035,0.00021582402,0.00091318577,0.00042523138,0.0008587966,0.00035660874],"domain_scores_gemma":[0.9982387,0.00011001849,0.0006547599,0.00023255359,0.0004773391,0.00028663708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016588956,0.00018574117,0.00032030063,0.00048513492,0.0001851714,0.000097623604,0.00061771774,0.000048326125,0.000008934082],"category_scores_gemma":[0.00024462843,0.00014714115,0.00010192637,0.0010827703,0.0007146079,0.0019931898,0.00041225657,0.000451859,0.0000016892456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013141596,0.0006549793,0.010509485,0.00003398648,0.0000035174264,0.00008583274,0.0012518264,0.7779636,0.10642425,0.0001504576,0.0000074888912,0.101600416],"study_design_scores_gemma":[0.000494277,0.001604948,0.1055258,0.00005273196,0.000005148396,0.00018904588,0.00021747022,0.8811664,0.008151652,0.0024542178,0.000001505127,0.00013678413],"about_ca_topic_score_codex":0.000018501121,"about_ca_topic_score_gemma":0.000038287035,"teacher_disagreement_score":0.10320282,"about_ca_system_score_codex":0.00023107577,"about_ca_system_score_gemma":0.00017937254,"threshold_uncertainty_score":0.6000242},"labels":[],"label_agreement":null},{"id":"W2070027067","doi":"10.1111/j.1469-8986.2009.00924.x","title":"Neuroelectric correlates of auditory attentional blink","year":2009,"lang":"en","type":"article","venue":"Psychophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Baycrest Hospital","funders":"","keywords":"Attentional blink; P3b; Rapid serial visual presentation; Psychology; Perception; Stimulus (psychology); Event-related potential; Electroencephalography; Audiology; Cognitive psychology; Auditory stimuli; Scalp; Stimulus onset asynchrony; Neuroscience","score_opus":0.017200534950088827,"score_gpt":0.26128276969024616,"score_spread":0.24408223474015733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070027067","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950831,0.000017154214,0.00016888625,0.00071217865,0.0019159472,0.00008602004,0.000005227364,0.000045117456,0.0019663975],"genre_scores_gemma":[0.99751395,0.000060811304,0.000026527774,0.0016865964,0.00022759796,0.0000029865369,0.000005335202,0.0000058012615,0.00047037483],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99918854,0.00007248016,0.00017347778,0.00028743056,0.00010446673,0.00017362207],"domain_scores_gemma":[0.9995327,0.00014335851,0.00010636824,0.00015663533,0.000027160562,0.00003377918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000031916574,0.00008739638,0.00013039811,0.00010029183,0.000057911726,0.0000049714777,0.00014735835,0.000055588927,0.000073491625],"category_scores_gemma":[0.00009984277,0.000076500684,0.00007871675,0.00029185886,0.00007059413,0.00005951872,0.000011798373,0.00014386435,0.0000986884],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007945007,0.00010776062,0.00009081996,0.0000025227152,0.0000014102939,0.0000026439177,0.0000041658755,0.00011171156,0.9900933,0.0024782321,0.0017281307,0.0052998355],"study_design_scores_gemma":[0.0021455947,0.004919636,0.510803,0.000023395525,0.000031967968,0.00011784295,0.0000061515793,0.024730746,0.23560177,0.21569788,0.005313826,0.00060821144],"about_ca_topic_score_codex":9.2056916e-7,"about_ca_topic_score_gemma":1.1904401e-7,"teacher_disagreement_score":0.75449157,"about_ca_system_score_codex":0.000007647129,"about_ca_system_score_gemma":0.00001129177,"threshold_uncertainty_score":0.31196073},"labels":[],"label_agreement":null},{"id":"W2070209599","doi":"10.1109/iembs.2011.6090380","title":"Frequency interactions in human epileptic brain","year":2011,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Western Hospital; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Computer science","score_opus":0.08371626304230244,"score_gpt":0.2986753012184475,"score_spread":0.21495903817614503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070209599","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8217412,6.4579535e-7,0.0002761494,0.00038382536,0.00029298582,0.00008409728,0.0000012533484,0.00006178761,0.17715804],"genre_scores_gemma":[0.992575,0.0000011875105,0.00014781492,0.0015805307,0.000022667262,0.0000110348055,9.882717e-7,0.0000073842366,0.005653421],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993922,0.000049227718,0.00014062297,0.00020916363,0.00006626077,0.00014250485],"domain_scores_gemma":[0.99970907,0.00008012443,0.000029401646,0.00013864209,0.00000755202,0.000035183708],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006320582,0.000063548745,0.000059464044,0.0001101159,0.00006936413,0.000016311007,0.0001076864,0.000015878026,0.0019069192],"category_scores_gemma":[0.0001382279,0.00005454187,0.000030001427,0.0001955741,0.00003525281,0.00021512868,0.000026987596,0.00012795342,0.00018145541],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002425596,0.00007997111,0.003508828,0.000001931925,4.1368958e-7,0.000017662816,0.00013109688,0.0000011773258,0.8944846,0.10052444,0.0004127807,0.0008346653],"study_design_scores_gemma":[0.0010493912,0.00042349132,0.22643174,0.000051169976,0.000008357954,0.00012270872,0.00022914194,0.00579304,0.5437709,0.2189479,0.0024595768,0.0007125808],"about_ca_topic_score_codex":0.00035197852,"about_ca_topic_score_gemma":0.00077360496,"teacher_disagreement_score":0.3507137,"about_ca_system_score_codex":0.000027172153,"about_ca_system_score_gemma":0.0000063148163,"threshold_uncertainty_score":0.9990055},"labels":[],"label_agreement":null},{"id":"W2070297944","doi":"10.1103/physreve.90.062704","title":"Fluctuations and information filtering in coupled populations of spiking neurons with adaptation","year":2014,"lang":"en","type":"article","venue":"Physical Review E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"European Research Council; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Adaptation (eye); Statistical physics; Computer science; Physics; Neuroscience; Biology","score_opus":0.0405739563332909,"score_gpt":0.28873506305597924,"score_spread":0.24816110672268832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070297944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9784216,0.00003958702,0.020134343,0.00056421745,0.000038424503,0.00027926092,0.000003313525,0.00001815676,0.000501046],"genre_scores_gemma":[0.9989243,0.0002935696,0.00028416282,0.00045483402,0.0000129474,0.000016548425,0.000007884635,0.0000034033026,0.000002357069],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953353,0.00004287451,0.00015911933,0.00008730795,0.00011277822,0.00006439916],"domain_scores_gemma":[0.99966127,0.00011558917,0.00009784706,0.0000819584,0.000022579252,0.00002073099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000071423565,0.000053062286,0.000118376935,0.000044107714,0.000039836916,0.000013494093,0.000031662054,0.0000061265932,0.0000028419972],"category_scores_gemma":[0.00044358923,0.000041791616,0.000017783195,0.00024569014,0.000023334831,0.00049540517,0.000015287911,0.00005449723,0.0000036268302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003772934,0.0001779395,0.0010773482,0.0018630093,0.0000033531092,8.656299e-7,0.0006757124,0.029158786,0.35246155,0.432805,0.000022371725,0.18171635],"study_design_scores_gemma":[0.00018397166,0.00009933039,0.0303026,0.0004813904,0.000014985348,0.0000029890214,0.0000055219934,0.96487576,0.00079228973,0.0026071544,0.00055419316,0.000079803445],"about_ca_topic_score_codex":0.000017778235,"about_ca_topic_score_gemma":0.000015359035,"teacher_disagreement_score":0.935717,"about_ca_system_score_codex":0.0000074456248,"about_ca_system_score_gemma":0.0000063655166,"threshold_uncertainty_score":0.17042127},"labels":[],"label_agreement":null},{"id":"W2070519004","doi":"10.1523/jneurosci.4350-13.2014","title":"Long-Term Recordings Improve the Detection of Weak Excitatory–Excitatory Connections in Rat Prefrontal Cortex","year":2014,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"National Institute of Mental Health; Alberta Innovates; Alberta Innovates - Health Solutions","keywords":"Excitatory postsynaptic potential; Neuroscience; Prefrontal cortex; Psychology; Inhibitory postsynaptic potential; Cognition","score_opus":0.019820852676325492,"score_gpt":0.2502284803658791,"score_spread":0.23040762768955358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070519004","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902183,0.000018276589,0.004004873,0.0003412544,0.005007652,0.00017914316,0.0000028124057,0.000013699588,0.00021400265],"genre_scores_gemma":[0.9989938,0.00006566074,0.000014755686,0.00057397404,0.00013121996,0.0000043909945,6.348555e-8,0.000013408011,0.00020270901],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99806166,0.00027146557,0.00058359257,0.00032054473,0.0004960561,0.00026669615],"domain_scores_gemma":[0.998349,0.00047050457,0.00073674135,0.00023349863,0.00010923288,0.00010099608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000745006,0.00014535479,0.00022617748,0.00026285835,0.00023591916,0.00008161544,0.00049792434,0.000051406703,0.000005720285],"category_scores_gemma":[0.0017306472,0.000102139784,0.00013696091,0.0006378197,0.0003787214,0.00069278094,0.00007332028,0.00046632532,0.000003074788],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069700676,0.00007300221,0.002127478,0.000010845205,6.4537977e-7,0.000011335509,0.00005953386,0.00007929351,0.9920861,0.00023839396,0.000016773702,0.00522691],"study_design_scores_gemma":[0.0009341159,0.0020871097,0.7172544,0.00007751407,0.00002074704,0.00076880015,0.000092038405,0.013622852,0.26264727,0.0007894378,0.0014724744,0.0002332169],"about_ca_topic_score_codex":0.000010994507,"about_ca_topic_score_gemma":0.00004536279,"teacher_disagreement_score":0.72943884,"about_ca_system_score_codex":0.00008011657,"about_ca_system_score_gemma":0.00007044205,"threshold_uncertainty_score":0.41651395},"labels":[],"label_agreement":null},{"id":"W2070745730","doi":"10.1140/epjst/e2007-00214-8","title":"Cortical spreading depression: An enigma","year":2007,"lang":"en","type":"article","venue":"The European Physical Journal Special Topics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Cortical spreading depression; Neuroscience; Cortex (anatomy); Cerebral cortex; Depression (economics); Psychology; Chemistry; Migraine; Psychiatry","score_opus":0.03316673936043578,"score_gpt":0.28586584286146843,"score_spread":0.25269910350103264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070745730","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6576759,0.000003626726,0.0006497456,0.0003996436,0.0016512491,0.00007394391,0.0000013093193,0.000045808432,0.33949876],"genre_scores_gemma":[0.8743124,0.000010735969,0.000046941823,0.0006862941,0.12406629,1.6895233e-7,4.879112e-7,0.000024011557,0.0008526786],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99829954,0.00052517554,0.00023570379,0.00021967644,0.00038782597,0.00033207476],"domain_scores_gemma":[0.99917436,0.00024272376,0.00010564909,0.0002231426,0.00003122997,0.00022291152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006924199,0.00012868358,0.00012287554,0.00003180682,0.0006470761,0.00019609026,0.00044813892,0.00002046824,0.00004069639],"category_scores_gemma":[0.00022581303,0.000078349774,0.000111702946,0.0001611451,0.000127229,0.00022492623,0.00011939229,0.0007339776,0.00013674505],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009573241,0.00018039426,0.00012388855,0.0000015748988,0.000004331287,0.00049209833,0.0004412679,0.000047363083,0.18179479,0.011148151,0.0007670563,0.8049033],"study_design_scores_gemma":[0.0024070176,0.0015922041,0.15436454,0.00011183733,0.00016070095,0.0036174604,0.00049507315,0.004972045,0.19515435,0.09911451,0.53655905,0.0014512283],"about_ca_topic_score_codex":9.040216e-7,"about_ca_topic_score_gemma":0.0000024399317,"teacher_disagreement_score":0.80345213,"about_ca_system_score_codex":0.000036663616,"about_ca_system_score_gemma":0.000010503199,"threshold_uncertainty_score":0.4976852},"labels":[],"label_agreement":null},{"id":"W2071323465","doi":"10.3389/fneng.2011.00008","title":"Processing Semblances Induced through Inter-Postsynaptic Functional LINKs, Presumed Biological Parallels of K-Lines Proposed for Building Artificial Intelligence","year":2011,"lang":"en","type":"article","venue":"Frontiers in Neuroengineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Parallels; Computer science; Postsynaptic potential; Artificial intelligence; Neuroscience; Cognitive science; Psychology; Biology; Engineering","score_opus":0.1266244012559479,"score_gpt":0.2792895440487009,"score_spread":0.15266514279275298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071323465","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56961304,0.000035643665,0.42833716,0.00006432901,0.0014551957,0.00037801897,0.000005126545,0.000079024976,0.000032479846],"genre_scores_gemma":[0.97243416,0.000048312955,0.027210815,0.00008489453,0.00012062199,0.0000604163,0.0000033752215,0.000027756168,0.000009646403],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983964,0.000051944302,0.0005127433,0.00051008497,0.00015887244,0.00036994033],"domain_scores_gemma":[0.9994691,0.000121728466,0.00015749957,0.00015239313,0.00005202606,0.000047270365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013677402,0.00021938913,0.00030261427,0.00020373309,0.00008041465,0.00003270914,0.00027393727,0.00012682784,0.000005706127],"category_scores_gemma":[0.0006388803,0.00019220948,0.00008802231,0.0004314366,0.00009363134,0.00033035275,0.000070180395,0.0003431038,8.6021544e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054636697,0.00016664348,0.0019355061,0.00019974798,0.000010762929,0.000019268757,0.0003552733,0.008613604,0.9550823,0.0027972467,0.00003271646,0.030240584],"study_design_scores_gemma":[0.00017794961,0.00043486184,0.0011017963,0.00011880539,0.0000105991085,0.000020074895,0.000091680275,0.53313583,0.45586956,0.008689917,0.00008630574,0.0002626365],"about_ca_topic_score_codex":0.0000070289902,"about_ca_topic_score_gemma":0.0000020321056,"teacher_disagreement_score":0.52452224,"about_ca_system_score_codex":0.000036076053,"about_ca_system_score_gemma":0.000028552247,"threshold_uncertainty_score":0.7838075},"labels":[],"label_agreement":null},{"id":"W2071436732","doi":"10.1017/s0140525x03480023","title":"High-frequency synchronisation in schizophrenia: Too much or too little?","year":2003,"lang":"en","type":"article","venue":"Behavioral and Brain Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Canada Research Chairs; McGill University","keywords":"Schizophrenia (object-oriented programming); Neuroscience; Arousal; Psychology; Cognitive psychology; Compensation (psychology); Cognition; Focus (optics); Psychiatry; Physics; Social psychology","score_opus":0.06639188918288666,"score_gpt":0.3109580117177233,"score_spread":0.24456612253483664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071436732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99647653,0.000039516715,0.000039276885,0.001850905,0.0005518615,0.00022525547,0.000009882464,0.000049180857,0.000757613],"genre_scores_gemma":[0.99729437,0.000031662395,0.0008305555,0.0008545431,0.000038031885,0.00002242706,0.0000019207407,0.0000070835063,0.00091941707],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99825156,0.0001603309,0.00026050193,0.00060295645,0.00036733292,0.00035730764],"domain_scores_gemma":[0.9994755,0.00019403729,0.00008053342,0.00014028072,0.00002073621,0.000088935674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052099593,0.0001620308,0.00016405906,0.0001692419,0.0003992483,0.00023813413,0.00021591637,0.000074062475,0.00012494483],"category_scores_gemma":[0.00039085827,0.00011303526,0.000034321354,0.0008779077,0.0004673428,0.00064864394,0.000044933022,0.00014817162,0.000017947334],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009111888,0.0004251413,0.025264446,0.000023324974,0.0000010437805,0.00012437861,0.00037712607,0.00005696856,0.7644527,0.15136056,0.000627712,0.057195477],"study_design_scores_gemma":[0.010866233,0.008823794,0.38937035,0.00034655439,0.00009280435,0.0013441351,0.0022890433,0.0064153005,0.38709316,0.17927402,0.009629667,0.0044549364],"about_ca_topic_score_codex":0.0002610128,"about_ca_topic_score_gemma":0.00024337652,"teacher_disagreement_score":0.37735954,"about_ca_system_score_codex":0.000046058936,"about_ca_system_score_gemma":0.0001225746,"threshold_uncertainty_score":0.4609444},"labels":[],"label_agreement":null},{"id":"W2071605995","doi":"10.1139/z08-004","title":"Physiological analysis of the lymphatic system in the eastern painted turtle (Chrysemys picta picta)","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Zoology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Acadia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lymph; Lymphatic system; Biology; Painted turtle; Anatomy; Heart rate; Turtle (robot); Beat (acoustics); Blood pressure; Pathology; Medicine; Ecology; Endocrinology","score_opus":0.03900136137364536,"score_gpt":0.226323272923298,"score_spread":0.18732191154965266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071605995","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981627,0.000039473864,0.000071399045,0.0008764282,0.0004265455,0.000079070305,0.000010163748,0.0000022924737,0.0003319228],"genre_scores_gemma":[0.99863774,0.00000691278,0.000005002596,0.0012136211,0.000050981846,0.0000014420585,6.824731e-7,0.00000433334,0.00007931399],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985356,0.0005934493,0.0003661867,0.00012697604,0.00015264914,0.00022518107],"domain_scores_gemma":[0.99908155,0.00027341122,0.00027917055,0.00021089359,0.000052403986,0.00010258657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029795532,0.000086038504,0.00028426203,0.00029483173,0.00013299719,0.000011946463,0.0005327979,0.000065062275,0.00003067175],"category_scores_gemma":[0.00046440147,0.000044703047,0.00019614294,0.00087630335,0.0002661666,0.000048880756,0.000016668744,0.0001901761,0.0000036235147],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000097449905,0.0001154303,0.8954869,0.000043947,0.0002471561,0.0017699206,0.002512765,0.008366341,0.08303633,0.006371044,0.001049918,0.00090278697],"study_design_scores_gemma":[0.00037674195,0.00026290704,0.9682034,0.00003417985,0.00016411906,0.0011822898,0.00055524777,0.028310709,0.000432616,0.00017829379,0.00020264891,0.00009681435],"about_ca_topic_score_codex":0.0013104879,"about_ca_topic_score_gemma":0.0120107,"teacher_disagreement_score":0.08260372,"about_ca_system_score_codex":0.00010170416,"about_ca_system_score_gemma":0.00023396037,"threshold_uncertainty_score":0.67022526},"labels":[],"label_agreement":null},{"id":"W2071628152","doi":"10.1523/jneurosci.2779-12.2013","title":"The Location of Feedback-Related Activity in the Midcingulate Cortex Is Predicted by Local Morphology","year":2013,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":114,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Sulcus; Functional magnetic resonance imaging; Psychology; Cortex (anatomy); Cingulate cortex; Neuroscience; Anterior cingulate cortex; Neuroimaging; Cognition","score_opus":0.01593162080931688,"score_gpt":0.24554083066295707,"score_spread":0.2296092098536402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071628152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931636,0.000025312867,0.0009678615,0.004759511,0.00079257356,0.00020273146,0.000004811851,0.0000061818805,0.0000774014],"genre_scores_gemma":[0.9980759,0.00012801148,0.000004893299,0.0016156475,0.000017375742,0.0000031179106,1.3421463e-7,0.000006376325,0.00014855593],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99817604,0.00034470973,0.00046460313,0.00021747318,0.0005522082,0.00024496828],"domain_scores_gemma":[0.9983454,0.00057304796,0.00061795255,0.00023185097,0.00017613082,0.00005566957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058511767,0.00010602974,0.000152111,0.000092554896,0.00020605468,0.00008948377,0.00070921844,0.00005414634,0.000009213552],"category_scores_gemma":[0.0009988747,0.000056704976,0.000056848774,0.0011831636,0.00066126353,0.00046416157,0.000055615543,0.00043192986,0.0000037826974],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032543205,0.000092255206,0.00044394273,0.0000044904014,6.2903615e-7,0.000010977582,0.00011352848,0.00039861762,0.9940559,0.00008466337,0.0011268766,0.0036355262],"study_design_scores_gemma":[0.00072785094,0.0012193363,0.6322221,0.000060292594,0.000015981315,0.0009892319,0.00014469752,0.167161,0.19466618,0.0016938507,0.00092574226,0.00017371112],"about_ca_topic_score_codex":0.000043000673,"about_ca_topic_score_gemma":0.0000037961186,"teacher_disagreement_score":0.7993898,"about_ca_system_score_codex":0.00003292482,"about_ca_system_score_gemma":0.00007385751,"threshold_uncertainty_score":0.2436453},"labels":[],"label_agreement":null},{"id":"W2071641091","doi":"10.1371/journal.pone.0024436","title":"Electrophysiological Evidence for Spatiotemporal Flexibility in the Ventrolateral Attention Network","year":2011,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Army Research Office; California NanoSystems Institute; Institute for Collaborative Biotechnologies; University of California, Santa Barbara","keywords":"Sensory system; Neuroscience; Flexibility (engineering); Electrophysiology; Cognitive psychology; Sensory processing; Task (project management); Psychology; Computer science","score_opus":0.3005652696483124,"score_gpt":0.2991466208742815,"score_spread":0.0014186487740309173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071641091","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985737,0.000014455447,0.00028816672,0.00040763934,0.0000669367,0.00054047955,0.000002309298,0.00002906552,0.000077212855],"genre_scores_gemma":[0.998543,0.000017300335,0.00044566017,0.00070295186,0.00014247939,0.00008301657,0.0000036714478,0.000005032377,0.000056885292],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99901253,0.00018046328,0.00015493204,0.00027124854,0.00015806651,0.0002227556],"domain_scores_gemma":[0.99948037,0.0002434875,0.00006180462,0.00017536466,0.000019941735,0.000019035419],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029393128,0.000072582574,0.000105813386,0.00001608882,0.00009768057,0.000022324823,0.00017549878,0.000038959603,0.000023698016],"category_scores_gemma":[0.00037909564,0.000047378766,0.00005223133,0.00015019058,0.000042386127,0.00014781913,0.00002369126,0.00012904423,0.000013668834],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00091057445,0.0009276445,0.011313312,0.00003259371,0.0000049903642,0.0000046239056,0.00007786774,0.000024463587,0.98266715,0.003491155,0.0000455079,0.00050012185],"study_design_scores_gemma":[0.00073187373,0.0032064063,0.7652285,0.00017313178,0.00005578778,0.000004001474,0.000009595628,0.0745306,0.07845127,0.07729529,0.00002338112,0.00029015334],"about_ca_topic_score_codex":0.000020802188,"about_ca_topic_score_gemma":0.000012430028,"teacher_disagreement_score":0.9042159,"about_ca_system_score_codex":0.000024203093,"about_ca_system_score_gemma":0.000008127365,"threshold_uncertainty_score":0.193205},"labels":[],"label_agreement":null},{"id":"W2071893800","doi":"10.1111/ejn.12912","title":"Stimulus‐dependent augmented gamma oscillatory activity between the functionally connected cortical neurons in the primary visual cortex","year":2015,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Neuroscience; Visual cortex; Stimulus (psychology); Cortical neurons; Psychology; Cognitive psychology","score_opus":0.06297940957259872,"score_gpt":0.2832231204235915,"score_spread":0.22024371085099276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071893800","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916831,0.000012460607,0.0017717497,0.002682396,0.0018670242,0.00027200038,0.000011879284,0.000032467764,0.0016668744],"genre_scores_gemma":[0.99454683,0.000017850405,0.000011652539,0.0049294503,0.00031080435,0.0000017263986,6.9333754e-7,0.000026679667,0.00015429582],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99320865,0.0035776196,0.00064846966,0.00048777112,0.0016247316,0.000452781],"domain_scores_gemma":[0.9973864,0.001277797,0.0005486242,0.00036227846,0.00015830732,0.00026660415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033077674,0.0002419523,0.000265023,0.00018526713,0.0004235001,0.00027395124,0.0012758452,0.00002692402,0.0000080761365],"category_scores_gemma":[0.0033885404,0.00013976931,0.00013094518,0.00093062397,0.00059732125,0.00055841106,0.0002644825,0.001165299,0.000032225034],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034968284,0.0003265561,0.0037366736,0.0000055561586,0.0000030770552,0.0011792602,0.00025360417,0.0012121043,0.9882888,0.00017175086,0.0007650081,0.003707936],"study_design_scores_gemma":[0.0010774098,0.0016068869,0.98603606,0.000019137124,0.000026104519,0.00095460226,0.00008487323,0.005070418,0.0014949947,0.000060260205,0.0033851871,0.00018406089],"about_ca_topic_score_codex":0.0000031085297,"about_ca_topic_score_gemma":0.0000024191106,"teacher_disagreement_score":0.9867938,"about_ca_system_score_codex":0.000105778825,"about_ca_system_score_gemma":0.00025849958,"threshold_uncertainty_score":0.56996274},"labels":[],"label_agreement":null},{"id":"W2071902994","doi":"10.1139/y04-045","title":"Somatosensory paths proceeding to spinal cord and brain — centripetal and centrifugal control for human movement","year":2004,"lang":"en","type":"review","venue":"Canadian Journal of Physiology and Pharmacology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Somatosensory system; Neuroscience; Reflex; Spinal cord; Somatosensory evoked potential; Motor control; Sensory system; Psychology","score_opus":0.04534358250740734,"score_gpt":0.3386796321910021,"score_spread":0.2933360496835948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071902994","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19029,0.8010917,0.00009911647,0.0018308787,0.0035005168,0.0026261446,0.0005184268,0.0000126413515,0.000030611987],"genre_scores_gemma":[0.3825364,0.6071273,0.000063631975,0.008479335,0.001502523,0.000075803895,0.00001659049,0.000065501365,0.00013287034],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99848115,0.00016091714,0.00046213326,0.0003756988,0.000057927777,0.00046217217],"domain_scores_gemma":[0.99858266,0.00025486609,0.0003999787,0.000046097815,0.00006517495,0.00065123884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021312239,0.00027939843,0.0008980809,0.00033270207,0.00035154156,0.000034891993,0.00014364324,0.00017841755,0.000049582224],"category_scores_gemma":[0.00008778767,0.00023590369,0.00012349288,0.0000961537,0.00026030085,0.000079636484,0.00002693218,0.00041850598,0.0000010602579],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067022775,0.00008198258,0.000058816346,0.012160817,0.00030825945,0.000406911,0.00014962287,0.000013095571,0.7088428,0.008918575,0.0020337652,0.2663551],"study_design_scores_gemma":[0.008893167,0.011123041,0.0003881616,0.0038234314,0.001868369,0.0033799494,0.000078227495,0.00009883142,0.0070918985,0.014485675,0.94738615,0.0013831032],"about_ca_topic_score_codex":0.000052745116,"about_ca_topic_score_gemma":0.00006629762,"teacher_disagreement_score":0.9453524,"about_ca_system_score_codex":0.000098618446,"about_ca_system_score_gemma":0.00053822546,"threshold_uncertainty_score":0.9619873},"labels":[],"label_agreement":null},{"id":"W2071964716","doi":"10.1167/13.9.1202","title":"Neuronal population activity in area 8a of macaques predicts saccade end point","year":2013,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Saccade; Saccadic masking; Macaque; Neuroscience; Population; Computer science; Premovement neuronal activity; Neuron; Eye movement; Artificial intelligence; Psychology; Medicine","score_opus":0.022862565036277715,"score_gpt":0.2752651105421449,"score_spread":0.2524025455058672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071964716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981929,0.0000072819334,0.0001669518,0.00084437855,0.00046876428,0.00010605458,0.0000031178763,0.0000059103804,0.00020464488],"genre_scores_gemma":[0.9995818,0.00004934774,0.00008389776,0.00014788746,0.00009271965,7.084668e-7,6.270412e-7,0.0000070888714,0.000035921923],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989114,0.00011740314,0.00034526273,0.00012067353,0.00039123674,0.00011406681],"domain_scores_gemma":[0.9992169,0.00016558114,0.00042047875,0.00008252098,0.000057202735,0.000057310925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002093927,0.0000773567,0.00016068414,0.00019381281,0.000031237403,0.000031150852,0.000109149114,0.00005205961,0.00010109751],"category_scores_gemma":[0.0003341522,0.000057950307,0.00007075052,0.00016076547,0.000024272309,0.0007557292,0.000037308888,0.00025194703,0.0000030938597],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009467065,0.00012216365,0.0067956317,0.000010890937,0.0000010403464,0.0000082321385,0.000027812906,0.00038842543,0.9719747,0.0000555436,0.00025486396,0.02026606],"study_design_scores_gemma":[0.0003843801,0.0005767872,0.89402694,0.0000866721,0.0000041970266,0.000049158647,0.000006728578,0.018167732,0.084774,0.0018118871,0.00005652886,0.000054981254],"about_ca_topic_score_codex":0.00007097119,"about_ca_topic_score_gemma":0.000008098222,"teacher_disagreement_score":0.8872313,"about_ca_system_score_codex":0.00004805299,"about_ca_system_score_gemma":0.000016789152,"threshold_uncertainty_score":0.2363145},"labels":[],"label_agreement":null},{"id":"W2072150567","doi":"10.1523/jneurosci.4652-06.2007","title":"Inhibition Determines Membrane Potential Dynamics and Controls Action Potential Generation in Awake and Sleeping Cat Cortex","year":2007,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":248,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Centre National de la Recherche Scientifique; Agence Nationale de la Recherche","keywords":"Inhibitory postsynaptic potential; Neuroscience; Wakefulness; Excitatory postsynaptic potential; Membrane potential; Conductance; Electrophysiology; Chemistry; Biophysics; Biology; Electroencephalography; Physics","score_opus":0.02636672708481731,"score_gpt":0.2686578571265067,"score_spread":0.2422911300416894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072150567","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9816508,0.000014920265,0.016256938,0.0004721245,0.0014374088,0.00013477191,0.0000038394437,0.0000097596985,0.000019434176],"genre_scores_gemma":[0.998678,0.00025382612,0.000114244285,0.0006773023,0.00022437584,7.8095655e-7,9.643888e-7,0.000009101024,0.000041391413],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99850893,0.00008444234,0.00046865173,0.00030433145,0.0003899615,0.00024369046],"domain_scores_gemma":[0.99927205,0.00007859742,0.00038835034,0.00007599644,0.00006979977,0.00011518502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057765783,0.00012680975,0.00017740889,0.00032659248,0.00021072659,0.00017025902,0.000086926135,0.00006145449,0.0000016599505],"category_scores_gemma":[0.00037684446,0.000113109694,0.000042950833,0.00030279005,0.00016736804,0.00095616817,0.00004542632,0.00020416407,2.6529494e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006103535,0.000038873775,0.0007356825,0.000007928603,3.8043265e-7,0.00025607864,0.0000266421,0.00076088094,0.9883411,0.00009236651,0.0000033536624,0.00967566],"study_design_scores_gemma":[0.0010491553,0.00035228112,0.121661685,0.000027270631,0.000016178097,0.003934922,0.00004026689,0.70730615,0.16525835,0.00017420152,0.000022381033,0.00015713609],"about_ca_topic_score_codex":0.000012098782,"about_ca_topic_score_gemma":0.00008137628,"teacher_disagreement_score":0.82308275,"about_ca_system_score_codex":0.00006559021,"about_ca_system_score_gemma":0.00002906736,"threshold_uncertainty_score":0.46124792},"labels":[],"label_agreement":null},{"id":"W2072301664","doi":"10.1152/jn.00390.2014","title":"Temporal integration at consecutive processing stages in the auditory pathway of the grasshopper","year":2015,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Bundesministerium für Bildung und Forschung; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Neuroscience; Auditory system; Grasshopper; Neuron; Computer science; Biology","score_opus":0.04811864665180814,"score_gpt":0.27355659439421876,"score_spread":0.2254379477424106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072301664","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973409,0.000009657109,0.0000340455,0.0013275889,0.0010498845,0.000087137014,0.0000033947301,0.0000027845279,0.00014461031],"genre_scores_gemma":[0.998663,0.0000121058365,0.000008255353,0.001061352,0.00015378447,0.0000013840536,2.9829326e-7,0.0000061351516,0.000093675335],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986455,0.00060503755,0.00030159488,0.00011185126,0.00022833994,0.00010767483],"domain_scores_gemma":[0.9990239,0.00024128723,0.00047585316,0.00011753132,0.000115365794,0.000026047332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014325061,0.00008015709,0.00015261631,0.00006436236,0.00006913626,0.0000131802735,0.0002852375,0.000037180846,0.0000025346562],"category_scores_gemma":[0.0006793624,0.00003729058,0.00007370464,0.00021018974,0.00021391816,0.00013107703,0.000060385202,0.00031287907,0.0000018898178],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015745523,0.000056736335,0.0003933525,0.0000050525873,0.0000010524826,0.000031264874,0.00046770024,0.00056148064,0.9969034,0.00013946621,0.00044610022,0.00083694287],"study_design_scores_gemma":[0.0044134655,0.008458139,0.45885047,0.00031195252,0.00007189011,0.0025244586,0.004139873,0.018512461,0.46904778,0.017408838,0.015612106,0.000648558],"about_ca_topic_score_codex":0.000004786824,"about_ca_topic_score_gemma":0.000006027087,"teacher_disagreement_score":0.52785563,"about_ca_system_score_codex":0.000035203426,"about_ca_system_score_gemma":0.00011962045,"threshold_uncertainty_score":0.15206657},"labels":[],"label_agreement":null},{"id":"W2072430642","doi":"10.1097/00001756-200110290-00033","title":"Corticofugal reorganization of the midbrain tonotopic map in mice","year":2001,"lang":"en","type":"article","venue":"Neuroreport","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Tonotopy; Midbrain; Auditory cortex; Neuroscience; Cortex (anatomy); Inferior colliculus; Neuroplasticity; Auditory system; Biology; Cerebral cortex; Central nervous system; Nucleus","score_opus":0.01913346387012301,"score_gpt":0.23646116058749245,"score_spread":0.21732769671736943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072430642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946208,0.000002299872,0.000045557445,0.0016036793,0.00083923974,0.00020726511,0.000001193522,0.000027922464,0.0026520193],"genre_scores_gemma":[0.9969562,0.000009075997,0.00001084047,0.0012675695,0.00003917151,0.0000044676844,0.0000013006824,0.000012263681,0.0016990921],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99898744,0.00007368388,0.00031987025,0.00025891548,0.00021931961,0.00014075417],"domain_scores_gemma":[0.9994473,0.00006786437,0.0001797602,0.00025253545,0.000027370132,0.000025183903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009434736,0.00007844353,0.00009693911,0.00005267185,0.00005041709,0.000015274996,0.00016382994,0.000036367703,0.0000449563],"category_scores_gemma":[0.0006234366,0.000058694644,0.000040590116,0.00050527643,0.000058173988,0.00010119675,0.0000645359,0.00012500442,0.0000093087765],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000126077075,0.000052182364,0.19205974,0.0000061142855,4.3937445e-7,0.00009440278,0.000032442542,0.00005661936,0.8056001,0.0014345142,0.00014182377,0.0005090142],"study_design_scores_gemma":[0.00026671618,0.00006323185,0.65519226,0.000016127016,0.0000056269587,0.0003289899,0.000009622341,0.0021319361,0.3349124,0.0013720662,0.0055909017,0.00011015653],"about_ca_topic_score_codex":0.00003093316,"about_ca_topic_score_gemma":0.00004643959,"teacher_disagreement_score":0.4706877,"about_ca_system_score_codex":0.000021104694,"about_ca_system_score_gemma":0.00003865437,"threshold_uncertainty_score":0.23934981},"labels":[],"label_agreement":null},{"id":"W2072510187","doi":"10.1016/j.neuroscience.2008.04.035","title":"Spectrotemporal receptive fields during spindling and non-spindling epochs in cat primary auditory cortex","year":2008,"lang":"en","type":"article","venue":"Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Neuroscience; Stimulus (psychology); Electroencephalography; Auditory cortex; Psychology; Receptive field; Local field potential; Electrophysiology; Thalamus; Audiology; Medicine","score_opus":0.023215003205665618,"score_gpt":0.23394160356783664,"score_spread":0.21072660036217103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072510187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959183,0.000012434551,0.00030395106,0.00026740128,0.0016332336,0.00026857128,0.0000035027872,0.00006828613,0.001524322],"genre_scores_gemma":[0.99746877,0.00022366556,0.00012616618,0.0014290282,0.00018003689,0.000012960873,6.872704e-7,0.000018138464,0.0005405557],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9978494,0.000075592645,0.00029556383,0.0008915207,0.00040578985,0.00048211613],"domain_scores_gemma":[0.9993471,0.000109888715,0.0001369144,0.00025713854,0.000021096746,0.00012784183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016266675,0.00020294481,0.00021244684,0.00020324874,0.00053752254,0.00006986625,0.00029149212,0.00008056617,0.0000073970737],"category_scores_gemma":[0.00036694854,0.00020016798,0.00004756587,0.0006118354,0.00039725588,0.0005235507,0.00018455189,0.00038061687,0.000010929574],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033531425,0.000044737822,0.011480894,0.000019016692,1.8476793e-7,0.00032290508,0.00021094104,0.00024599268,0.9872544,0.000052810356,0.00003135964,0.00030323796],"study_design_scores_gemma":[0.00057667954,0.0002751663,0.9025086,0.000055664696,0.0000024614556,0.00048568164,0.000026788011,0.013396769,0.08191363,0.0001906524,0.00020406577,0.00036383537],"about_ca_topic_score_codex":0.000051562958,"about_ca_topic_score_gemma":0.00002149046,"teacher_disagreement_score":0.9053408,"about_ca_system_score_codex":0.00010325397,"about_ca_system_score_gemma":0.000098146375,"threshold_uncertainty_score":0.8162613},"labels":[],"label_agreement":null},{"id":"W2073736582","doi":"10.1098/rspb.2014.2756","title":"Ten days of darkness causes temporary blindness during an early critical period in felines","year":2015,"lang":"en","type":"article","venue":"Proceedings of the Royal Society B Biological Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Canadian Institutes of Health Research","keywords":"Darkness; Period (music); Monocular deprivation; Visual cortex; Sensory deprivation; Visual acuity; Blindsight; Blindness; Psychology; Audiology; Visual perception; Medicine; Ophthalmology; Neuroscience; Optometry; Biology; Perception; Art; Ocular dominance; Sensory system","score_opus":0.08595927362298116,"score_gpt":0.3031118454314489,"score_spread":0.21715257180846775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073736582","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982065,0.000022753753,0.0000028878385,0.0007348072,0.00021418121,0.00015269291,0.000011590695,0.000033695524,0.0006208982],"genre_scores_gemma":[0.9995238,0.00000826077,0.00020652171,0.000117335345,0.00007180993,0.000009321663,3.3987752e-7,0.000004350953,0.00005823196],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99842954,0.00003682044,0.0003191107,0.00045814196,0.00045091304,0.00030548358],"domain_scores_gemma":[0.9993888,0.00013292315,0.0001625564,0.00006862949,0.00014424142,0.00010280964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080326485,0.00013619402,0.00023127145,0.00003065516,0.00026046138,0.000084357256,0.0008028464,0.00011661786,0.000007741542],"category_scores_gemma":[0.0017450212,0.00007162676,0.00012289581,0.0007326462,0.0017793891,0.00035756602,0.00035375773,0.00017695263,8.980229e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005237241,0.00020503694,0.6764564,0.000038663085,0.0000014925071,6.3548845e-7,0.00052576064,0.00004351862,0.32003567,0.0025054417,0.000037200047,0.00009780313],"study_design_scores_gemma":[0.0006787448,0.0015692968,0.7100509,0.00013596701,0.000012568072,0.000015527676,0.0045211166,0.01570236,0.25604472,0.010808372,0.000023266144,0.00043720953],"about_ca_topic_score_codex":0.00013618589,"about_ca_topic_score_gemma":0.000002449199,"teacher_disagreement_score":0.06399097,"about_ca_system_score_codex":0.000026720714,"about_ca_system_score_gemma":0.000049091992,"threshold_uncertainty_score":0.6556233},"labels":[],"label_agreement":null},{"id":"W2073748430","doi":"10.1155/2010/314932","title":"Dissociated Emergent-Response System and Fine-Processing System in Human Neural Network and a Heuristic Neural Architecture for Autonomous Humanoid Robots","year":2010,"lang":"en","type":"article","venue":"Computational Intelligence and Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Chinese Academy of Sciences; York University; Rensselaer Polytechnic Institute","keywords":"Sensory system; Neuroscience; Computer science; Posterior cingulate; Anterior cingulate cortex; Humanoid robot; Somatosensory system; Cortex (anatomy); Artificial intelligence; Psychology; Robot; Cognition","score_opus":0.035016201505728,"score_gpt":0.29446472229440723,"score_spread":0.25944852078867925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073748430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9764207,0.00008983913,0.02177537,0.00031571038,0.0007661202,0.00048344847,0.000023759003,0.00011082671,0.000014200763],"genre_scores_gemma":[0.99914724,0.0000048160073,0.00029244437,0.00034664926,0.00008865396,0.00003974098,0.000004887387,0.000020706291,0.000054837794],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997874,0.00016612261,0.0004247567,0.0008454491,0.00025498812,0.0004346847],"domain_scores_gemma":[0.9987591,0.00069421437,0.00019081424,0.00012584947,0.0000642647,0.00016573873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003962307,0.00025332856,0.00025446655,0.00017206611,0.0009177457,0.0003200084,0.00023268649,0.000075260265,0.0000010879542],"category_scores_gemma":[0.00039833522,0.00023084036,0.00004079092,0.00046707812,0.00037910466,0.00025822865,0.00014629522,0.00034252758,5.84823e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003303191,0.000072179915,0.002601055,0.00035281826,0.0000016662519,0.00008287333,0.0004234187,0.62974024,0.33512735,0.017240161,0.000025338673,0.014002599],"study_design_scores_gemma":[0.00019198252,0.00024972437,0.027634703,0.00007062526,0.000008693954,0.00034768492,0.00006057762,0.9683983,0.0014476368,0.001310439,0.00003646874,0.00024317656],"about_ca_topic_score_codex":0.00001706934,"about_ca_topic_score_gemma":0.00003686085,"teacher_disagreement_score":0.33865806,"about_ca_system_score_codex":0.000029791932,"about_ca_system_score_gemma":0.000038931597,"threshold_uncertainty_score":0.9413397},"labels":[],"label_agreement":null},{"id":"W2073890932","doi":"10.1523/jneurosci.1784-12.2013","title":"Influence of Core Auditory Cortical Areas on Acoustically Evoked Activity in Contralateral Primary Auditory Cortex","year":2013,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Auditory cortex; Neuroscience; Somatosensory system; Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Premovement neuronal activity; Tonotopy; Psychology; Electrophysiology; Cortex (anatomy); Inferior colliculus","score_opus":0.02005326209282495,"score_gpt":0.2558691473802221,"score_spread":0.23581588528739714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073890932","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969528,0.0000024759513,0.00011877907,0.0003548686,0.0020737944,0.00024852963,0.000007718203,0.000016272936,0.0002247794],"genre_scores_gemma":[0.9977371,0.00003663886,0.00002967557,0.0018463155,0.00019199114,0.000004828172,1.2163039e-7,0.000014143766,0.00013916165],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.997252,0.0002209289,0.0006801273,0.00041223952,0.0010064973,0.00042824057],"domain_scores_gemma":[0.9977199,0.00088147237,0.0006718636,0.000266096,0.00021004956,0.00025064213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038232267,0.00020677158,0.00040864822,0.00026706682,0.00011730122,0.000069666676,0.00060046185,0.00009182405,0.000018970333],"category_scores_gemma":[0.0028446114,0.000162165,0.00012273743,0.0005010771,0.00065973605,0.0009829531,0.00009876832,0.00082604744,0.000014307816],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021792817,0.00033263722,0.0033855564,0.000019961804,8.7690654e-7,0.00016116258,0.000023435807,0.0048581297,0.9900978,0.00012693882,0.00025678158,0.00051875296],"study_design_scores_gemma":[0.00057665474,0.001153392,0.9616035,0.00008967293,0.00000783079,0.00018248422,0.0000040186583,0.013182566,0.022571221,0.00041023537,0.000067533234,0.00015087477],"about_ca_topic_score_codex":0.000012281293,"about_ca_topic_score_gemma":0.0000018300648,"teacher_disagreement_score":0.9675266,"about_ca_system_score_codex":0.00013437547,"about_ca_system_score_gemma":0.00023734705,"threshold_uncertainty_score":0.6612897},"labels":[],"label_agreement":null},{"id":"W2073933732","doi":"10.1371/journal.pone.0020046","title":"Comparison of LFP-Based and Spike-Based Spectro-Temporal Receptive Fields and Cross-Correlation in Cat Primary Auditory Cortex","year":2011,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Auditory cortex; Receptive field; Neuroscience; Spike (software development); Correlation; Biology; Computer science; Mathematics","score_opus":0.08355448081069622,"score_gpt":0.2734897804389975,"score_spread":0.1899352996283013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073933732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99830204,0.000022885471,0.00041681548,0.000087259265,0.0001312929,0.00025101303,0.0000105608515,0.00002626517,0.00075188],"genre_scores_gemma":[0.9987889,0.0000106745465,0.00081524183,0.00022630482,0.0000369103,0.000009417122,0.000012289311,0.00000999872,0.00009028449],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990953,0.00006276963,0.00023286446,0.00028121163,0.00019451701,0.00013333408],"domain_scores_gemma":[0.9994722,0.0001660061,0.00015414211,0.00012764007,0.000034705245,0.000045289737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010892982,0.00010252907,0.00021480395,0.00010229747,0.000057204776,0.00001819772,0.000059872324,0.00008387279,0.000042635267],"category_scores_gemma":[0.00011326035,0.00010061505,0.00002056893,0.00013211269,0.00016635556,0.00013290113,0.000024773404,0.00015495358,0.0000037625512],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035128408,0.0008135192,0.4608224,0.00010115166,0.000003929364,0.0000042938295,0.0002402877,0.000038735834,0.53712755,0.00011222621,0.000026046044,0.00035857776],"study_design_scores_gemma":[0.00089553767,0.0006708056,0.66392404,0.00009356595,0.000020866557,6.2311267e-7,0.000016831435,0.06349671,0.27039656,0.0003312449,0.000008740957,0.00014450261],"about_ca_topic_score_codex":0.0000945419,"about_ca_topic_score_gemma":0.00008558484,"teacher_disagreement_score":0.266731,"about_ca_system_score_codex":0.000040985466,"about_ca_system_score_gemma":0.000039029925,"threshold_uncertainty_score":0.41029626},"labels":[],"label_agreement":null},{"id":"W2073972015","doi":"10.1016/j.expneurol.2012.12.001","title":"Extracellular Ca2+ fluctuations in vivo affect afterhyperpolarization potential and modify firing patterns of neocortical neurons","year":2012,"lang":"en","type":"article","venue":"Experimental Neurology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université Laval","funders":"National Institute of Neurological Disorders and Stroke; Canadian Institutes of Health Research","keywords":"Afterhyperpolarization; Bursting; Neuroscience; Extracellular; Electrophysiology; Depolarization; Biophysics; Calcium; Chemistry; Membrane potential; Biology; Biochemistry","score_opus":0.01681703235608976,"score_gpt":0.2595492372070514,"score_spread":0.24273220485096167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073972015","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99754745,0.00016788875,0.0011156936,0.00021333802,0.00059436477,0.00025204686,0.000013983747,0.000028997756,0.00006620987],"genre_scores_gemma":[0.9994287,0.000014333573,0.00003179786,0.00035528853,0.00007876549,0.00002563479,0.0000037974885,0.000019504223,0.000042183205],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99882364,0.00020046686,0.00022987343,0.00030231918,0.00013723804,0.00030647492],"domain_scores_gemma":[0.9995846,0.00011174759,0.000066826055,0.00014356476,0.00000647319,0.00008679725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006781891,0.00013306252,0.00015232513,0.0001242475,0.00007526313,0.000016902528,0.000082363564,0.00008169592,0.00010161927],"category_scores_gemma":[0.00006937164,0.00013510039,0.000040650564,0.00011512082,0.00009130404,0.0002474207,0.00011201985,0.0001766149,0.0000048810452],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006835893,0.00020023325,0.02593214,0.0000063261436,0.0000011541229,0.000023333074,0.00016799195,0.00017436783,0.97085947,0.002387844,0.000004000656,0.00017478688],"study_design_scores_gemma":[0.00069882354,0.0005250412,0.12555969,0.0000051961256,0.0000070515675,0.00020438159,0.00002802143,0.03483994,0.83774287,0.00008574646,0.00012821092,0.0001750416],"about_ca_topic_score_codex":0.000037331713,"about_ca_topic_score_gemma":0.000006029975,"teacher_disagreement_score":0.1331166,"about_ca_system_score_codex":0.000012797025,"about_ca_system_score_gemma":0.0000069642615,"threshold_uncertainty_score":0.5509234},"labels":[],"label_agreement":null},{"id":"W2074001270","doi":"10.1007/s12559-013-9209-0","title":"Improved Path Integration Using a Modified Weight Combination Method","year":2013,"lang":"en","type":"article","venue":"Cognitive Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; Defence Research and Development Canada","funders":"","keywords":"Robustness (evolution); Computer science; Path integration; Network packet; Artificial neural network; Artificial intelligence; Control theory (sociology)","score_opus":0.05154723131797048,"score_gpt":0.31314768359288625,"score_spread":0.2616004522749158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074001270","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39768028,0.0000030577198,0.6006623,0.000099203404,0.00029944535,0.0004720395,0.000005727299,0.00007043469,0.0007074901],"genre_scores_gemma":[0.99575305,0.000003790364,0.0033019257,0.0006381106,0.00006318639,0.00005318676,0.0000730841,0.000019081925,0.00009458488],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987388,0.00028503762,0.00023414088,0.00038124586,0.00018777399,0.00017295644],"domain_scores_gemma":[0.9989063,0.0004480802,0.00018392257,0.000039255236,0.00036777125,0.000054650583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014831379,0.00014618428,0.00012770812,0.00014975005,0.00020916293,0.00015368189,0.00004818109,0.00006599973,0.000042181848],"category_scores_gemma":[0.00049447856,0.00013425735,0.000053046104,0.0003507313,0.000042591742,0.00063400576,0.000034121527,0.00014179142,0.00005411385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024165334,0.00007884926,0.000017005774,0.000008027051,0.0000034144962,0.00000130249,0.00009806635,0.00025771934,0.72059375,0.001358484,0.00003675477,0.27752247],"study_design_scores_gemma":[0.00063797645,0.000120362405,0.0015003246,0.00003341543,0.000016135491,0.00000999362,0.000072293406,0.88877445,0.09850439,0.010183688,0.0000028269396,0.00014416668],"about_ca_topic_score_codex":0.000061336286,"about_ca_topic_score_gemma":0.0000020106277,"teacher_disagreement_score":0.8885167,"about_ca_system_score_codex":0.00006105265,"about_ca_system_score_gemma":0.000025617162,"threshold_uncertainty_score":0.5474856},"labels":[],"label_agreement":null},{"id":"W2074011979","doi":"10.3389/fpsyg.2013.00284","title":"Detection is unaffected by the deployment of focal attention","year":2013,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Office of Naval Research; National Eye Institute; York University; Brown University","keywords":"Psychology; Software deployment; Cognitive psychology; Computer science","score_opus":0.014327404375132358,"score_gpt":0.26521229124135776,"score_spread":0.2508848868662254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074011979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9412304,0.00005705703,0.052272182,0.00222314,0.003055218,0.00037878944,0.0000045587667,0.000029031946,0.0007496274],"genre_scores_gemma":[0.9973274,0.000045296107,0.00015592754,0.0021307638,0.000022704104,0.00005351142,0.0000018449729,0.000009696327,0.0002528752],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99910927,0.0001654426,0.00018141979,0.0002668556,0.00010830637,0.00016873721],"domain_scores_gemma":[0.9996356,0.00004134111,0.00008642765,0.00019732954,0.000016736069,0.000022582484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000097588345,0.000077672354,0.00010495251,0.00008937097,0.000050265255,0.000011186654,0.00014873863,0.00007981431,0.00005166219],"category_scores_gemma":[0.000049750022,0.000056771187,0.000043316777,0.00028407347,0.00011771286,0.0000842986,0.000020035648,0.00014576879,0.000026747746],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040860028,0.00008003729,0.0056351814,0.00000381454,0.000003852284,7.111281e-7,0.000032015454,0.0000020580298,0.75455385,0.000034468296,0.085438184,0.15417495],"study_design_scores_gemma":[0.0046312963,0.0019851027,0.334803,0.00004211075,0.000044713204,0.000115441915,0.00027663662,0.059897713,0.4961204,0.065968946,0.035445478,0.0006691865],"about_ca_topic_score_codex":0.000050052513,"about_ca_topic_score_gemma":0.0000068599234,"teacher_disagreement_score":0.32916778,"about_ca_system_score_codex":0.000026380798,"about_ca_system_score_gemma":0.0000029695088,"threshold_uncertainty_score":0.23150617},"labels":[],"label_agreement":null},{"id":"W2074047423","doi":"10.1016/j.bandl.2014.05.003","title":"Theta-band phase tracking in the two-talker problem","year":2014,"lang":"en","type":"article","venue":"Brain and Language","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Psychology; Selection (genetic algorithm); Recall; Speech recognition; Cognitive psychology; Electroencephalography; Neuroscience; Computer science; Artificial intelligence","score_opus":0.020052994731859126,"score_gpt":0.29621065693010845,"score_spread":0.27615766219824933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074047423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.980883,0.000041452542,0.00013160429,0.002341547,0.00006107229,0.00017690337,0.0000042865204,0.000027728964,0.016332403],"genre_scores_gemma":[0.993232,0.000003918149,0.000019230389,0.0058726626,0.00007753908,0.000009606427,0.000002634011,0.00000784119,0.00077458407],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992614,0.0001732755,0.000096692995,0.00020152556,0.000112777874,0.00015434047],"domain_scores_gemma":[0.9994516,0.0003494627,0.00003281643,0.00013654982,0.0000036922142,0.000025872065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041334244,0.00007882608,0.00007708169,0.000040196333,0.000088344765,0.00009138945,0.000108749446,0.000022622207,0.000034549415],"category_scores_gemma":[0.00021266182,0.000047047204,0.000025818095,0.00012976183,0.000048128684,0.00009037679,0.000014834938,0.00012072995,0.000008495791],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000355048,0.0001417815,0.00023214624,0.000022030734,0.0000014620099,0.000060619517,0.005403604,0.000020135038,0.85031974,0.017476408,0.00064258376,0.125644],"study_design_scores_gemma":[0.03454648,0.0029552311,0.027380774,0.00039146846,0.000092518734,0.0016898726,0.010041428,0.13656577,0.47821513,0.047820896,0.25737643,0.0029239915],"about_ca_topic_score_codex":0.000038699465,"about_ca_topic_score_gemma":0.000082200735,"teacher_disagreement_score":0.3721046,"about_ca_system_score_codex":0.0000042462693,"about_ca_system_score_gemma":0.0000036963575,"threshold_uncertainty_score":0.19185293},"labels":[],"label_agreement":null},{"id":"W2074183366","doi":"10.1523/jneurosci.4460-13.2014","title":"Global Intracellular Slow-Wave Dynamics of the Thalamocortical System","year":2014,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":155,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Institut Universitaire en Santé Mentale de Québec","funders":"National Institute of Neurological Disorders and Stroke; Canadian Institutes of Health Research","keywords":"Thalamus; Neuroscience; Inhibitory postsynaptic potential; Retrosplenial cortex; Cortex (anatomy); Geniculate; Depolarization; Lateral geniculate nucleus; Sensory system; Sensory cortex; Biology; Nucleus; Anatomy; Visual cortex; Biophysics","score_opus":0.021769823602009967,"score_gpt":0.2336888351689651,"score_spread":0.21191901156695514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074183366","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98167074,0.0000057006228,0.012489528,0.0011118285,0.003385991,0.000108694476,0.0000088487195,0.00001415185,0.0012044992],"genre_scores_gemma":[0.99917585,0.000007166215,0.00008191251,0.0005215252,0.00010384121,5.790295e-7,4.968973e-8,0.0000073566302,0.00010174653],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978543,0.00028178334,0.0005384639,0.00024432226,0.0008276361,0.00025351584],"domain_scores_gemma":[0.99862516,0.00018535099,0.0006427128,0.0003142132,0.00011085506,0.0001216977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055316655,0.0001249058,0.00022481878,0.00005865537,0.00016752983,0.00007070379,0.00070105796,0.000048756698,0.0000021634853],"category_scores_gemma":[0.0017374627,0.000075746764,0.000181291,0.0007284418,0.0003923746,0.00024869284,0.00015227278,0.00024793536,0.0000019548297],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041338208,0.0001014887,0.005467748,0.000037220518,0.0000010493998,0.000059495513,0.000015420881,0.0015537463,0.9005471,0.09008561,0.000066313536,0.002023483],"study_design_scores_gemma":[0.00062862673,0.0009157156,0.13437891,0.00015793234,0.000044676457,0.0041118586,0.00005984209,0.7923501,0.062641785,0.003480208,0.0009920629,0.00023826642],"about_ca_topic_score_codex":0.0000024194019,"about_ca_topic_score_gemma":0.0000034882953,"teacher_disagreement_score":0.8379053,"about_ca_system_score_codex":0.000112919166,"about_ca_system_score_gemma":0.000077385535,"threshold_uncertainty_score":0.30888635},"labels":[],"label_agreement":null},{"id":"W2074232444","doi":"10.3389/fnsys.2011.00020","title":"Toward an Integrated Approach to Perception and Action: Conference Report and Future Directions","year":2011,"lang":"en","type":"article","venue":"Frontiers in Systems Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Eye Institute; Defense Advanced Research Projects Agency; National Institutes of Health; Santa Fe Institute","keywords":"Perception; Perspective (graphical); Action (physics); Cognitive science; Isolation (microbiology); Psychology; Field (mathematics); Function (biology); Computational neuroscience; Brain function; Cognitive neuroscience; Cognition; Computer science; Neuroscience; Artificial intelligence","score_opus":0.09317647536041314,"score_gpt":0.26622617454873604,"score_spread":0.17304969918832291,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074232444","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9302955,0.000058143924,0.055999562,0.00022174648,0.009298382,0.0007712287,0.000016495576,0.00017428001,0.0031646588],"genre_scores_gemma":[0.99667543,0.00025637337,0.0019912056,0.00027535929,0.00012013252,0.00006811543,0.0000023733292,0.0000143454945,0.0005966488],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9980217,0.00021026358,0.00028283556,0.0009495862,0.00025976924,0.0002758291],"domain_scores_gemma":[0.9993356,0.000013244298,0.00010826372,0.00028266874,0.000050393308,0.0002098294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030872197,0.00018083543,0.0002101705,0.00027379493,0.0002553706,0.00020662343,0.00020743471,0.000085507745,0.0000019473496],"category_scores_gemma":[0.00015512542,0.0001571354,0.000019598028,0.0007797095,0.00023538034,0.000739076,0.00006904102,0.00022599372,0.0000012707059],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037370017,0.0008488898,0.06694741,0.00028302087,0.0000047420026,0.0005657645,0.016235579,0.0002078801,0.77711904,0.011167856,0.0021980754,0.124048054],"study_design_scores_gemma":[0.0010495092,0.0015454259,0.49839845,0.00013788094,0.00003506096,0.011708275,0.024421435,0.35151297,0.003656809,0.000802819,0.10505257,0.0016787879],"about_ca_topic_score_codex":0.00019209832,"about_ca_topic_score_gemma":0.000011844571,"teacher_disagreement_score":0.77346224,"about_ca_system_score_codex":0.00005870633,"about_ca_system_score_gemma":0.00003619675,"threshold_uncertainty_score":0.64077955},"labels":[],"label_agreement":null},{"id":"W2074257084","doi":"10.1143/ptps.173.79","title":"The Central Neural Foundations of Awareness and Self-Awareness","year":2008,"lang":"en","type":"article","venue":"Progress of Theoretical Physics Supplement","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McGill University","keywords":"Arousal; Sexual arousal; Neuroscience; Psychology; Simple (philosophy); Cognitive science; Reticular formation; Cognitive psychology; Central nervous system; Epistemology; Philosophy","score_opus":0.0244944124803254,"score_gpt":0.28947289637342505,"score_spread":0.26497848389309964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074257084","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952236,0.000043042746,0.0018749384,0.0018216139,0.00033289386,0.00042376548,0.00009559803,0.00003706704,0.00014751178],"genre_scores_gemma":[0.9994234,0.00011078562,0.00029340942,0.000041739768,0.000059916933,0.000036463603,0.000013766166,0.000013098879,0.0000074239797],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986701,0.00011759792,0.00029672575,0.00025019926,0.00036458642,0.00030081123],"domain_scores_gemma":[0.99903625,0.0004119094,0.00014145537,0.00025389565,0.00008298303,0.00007349885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011820356,0.00013135576,0.00017482498,0.00001923301,0.00040276814,0.000029585848,0.00025100552,0.00002169156,0.0000280118],"category_scores_gemma":[0.00007143955,0.00008850319,0.00007778889,0.00016125118,0.001510741,0.00010252071,0.00017686479,0.00008824644,8.950251e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063092026,0.00034270875,0.012016949,0.00004367745,0.000012466834,0.0000031184961,0.0001642739,0.000046966503,0.0055130143,0.978654,0.00005807818,0.0030816032],"study_design_scores_gemma":[0.0014551886,0.0008004294,0.0120472545,0.000045326004,0.000097404096,0.000046101817,0.00011588593,0.09790173,0.4989728,0.38672954,0.0013483159,0.0004400115],"about_ca_topic_score_codex":0.000010016704,"about_ca_topic_score_gemma":0.0000018960039,"teacher_disagreement_score":0.5919245,"about_ca_system_score_codex":0.00001816241,"about_ca_system_score_gemma":0.000049978975,"threshold_uncertainty_score":0.5566388},"labels":[],"label_agreement":null},{"id":"W2074365572","doi":"10.1371/journal.pone.0057217","title":"Exploring Age-Related Changes in Dynamical Non-Stationarity in Electroencephalographic Signals during Early Adolescence","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut Universitaire de Gériatrie de Montréal; University of Toronto; Montreal Neurological Institute and Hospital; McGill University; York University; Baycrest Hospital","funders":"James S. McDonnell Foundation","keywords":"Electroencephalography; SIGNAL (programming language); Brain activity and meditation; Dynamical systems theory; Statistical physics; Age groups; Physics; Psychology; Pattern recognition (psychology); Neuroscience; Mathematics; Computer science; Cognitive psychology; Demography","score_opus":0.080373060601264,"score_gpt":0.22287144607893258,"score_spread":0.14249838547766858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074365572","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986005,0.000008186943,0.000010667331,0.0006697715,0.000050984094,0.00049658614,0.000002710039,0.000068248686,0.00009237611],"genre_scores_gemma":[0.99925846,0.00018074785,0.00007159102,0.00013162082,0.000022546177,0.00023507571,0.0000037000264,0.000017982866,0.00007825363],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984166,0.00010980934,0.00025991938,0.0004468035,0.00033349602,0.00043339326],"domain_scores_gemma":[0.9995466,0.0001213638,0.00007165235,0.00015555875,0.000032105065,0.00007274229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011953364,0.00014426697,0.00020303908,0.0003966954,0.00007546257,0.00006526849,0.0001867795,0.00006097126,0.000041330513],"category_scores_gemma":[0.00019284751,0.00014904099,0.000030101777,0.0009785506,0.00008166358,0.0006019468,0.000055832483,0.00042960673,0.00005396247],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000187641,0.0004649845,0.05611164,0.000043519784,0.0000031887446,0.000047358877,0.00020830613,0.000074141164,0.94265,0.00014326994,3.0688255e-7,0.00023451964],"study_design_scores_gemma":[0.00038897354,0.00011677981,0.8401333,0.0002516138,0.0000044036096,0.0000022861293,0.000020925594,0.02069631,0.13684557,0.0013737422,9.592644e-8,0.00016597047],"about_ca_topic_score_codex":0.00026864826,"about_ca_topic_score_gemma":0.00041687544,"teacher_disagreement_score":0.80580443,"about_ca_system_score_codex":0.00007730475,"about_ca_system_score_gemma":0.000011125995,"threshold_uncertainty_score":0.6077715},"labels":[],"label_agreement":null},{"id":"W2074494951","doi":"10.1121/1.429600","title":"A high-precision magnetoencephalographic study of human auditory steady-state responses to amplitude-modulated tones","year":2000,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":313,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Deutsche Forschungsgemeinschaft","keywords":"Amplitude; Magnetoencephalography; Amplitude modulation; Physics; Waveform; Frequency modulation; Stimulus (psychology); Acoustics; Nuclear magnetic resonance; Mathematics; Electroencephalography; Optics; Radio frequency; Telecommunications; Computer science; Voltage; Neuroscience; Psychology","score_opus":0.0201065424959774,"score_gpt":0.28150293516351116,"score_spread":0.2613963926675338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074494951","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961774,0.000023493509,0.001823673,0.0013034572,0.00032063917,0.00030505122,0.000014080367,0.000012189173,0.000020041198],"genre_scores_gemma":[0.99752885,0.00015843133,0.00073762826,0.0011267366,0.000095886695,0.0000017730928,1.2823804e-7,0.000014824334,0.00033574135],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99746114,0.0006435853,0.0006543856,0.00017827665,0.00082534656,0.00023724948],"domain_scores_gemma":[0.9976546,0.0011537393,0.0005134654,0.00042715328,0.0001565774,0.000094430456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006886252,0.00015874502,0.00038313103,0.000052991978,0.0003099037,0.000022134655,0.0008518456,0.00004377865,0.00014809602],"category_scores_gemma":[0.00036288987,0.00008387194,0.00028970366,0.00074994535,0.00057435327,0.000098635544,0.0001638275,0.00038170823,0.0000042945258],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011437363,0.0007297732,0.0001583279,0.000013623874,0.00004895359,0.0000034265793,0.0017265371,0.03322797,0.9460517,0.0000027356546,0.0027571318,0.014136087],"study_design_scores_gemma":[0.0089650275,0.059384592,0.7156385,0.0009059336,0.0019784078,0.00044363638,0.016017431,0.10937634,0.064372584,0.01797985,0.003179217,0.0017584356],"about_ca_topic_score_codex":0.00013121938,"about_ca_topic_score_gemma":0.000001955573,"teacher_disagreement_score":0.8816791,"about_ca_system_score_codex":0.000034879038,"about_ca_system_score_gemma":0.00003508055,"threshold_uncertainty_score":0.34201986},"labels":[],"label_agreement":null},{"id":"W2074864706","doi":"10.1523/jneurosci.0490-08.2008","title":"Vibrissal Responses of Thalamic Cells That Project to the Septal Columns of the Barrel Cortex and to the Second Somatosensory Area","year":2008,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Wellcome Trust","keywords":"Neuroscience; Somatosensory system; Thalamic reticular nucleus; Thalamus; Sensory system; Receptive field; Dorsal column nuclei; Reticular connective tissue; Nucleus; Reticular formation; Cortex (anatomy); Barrel cortex; Biology; Anatomy","score_opus":0.05277923490215471,"score_gpt":0.2635596774849712,"score_spread":0.2107804425828165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074864706","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954235,0.000019064839,0.000066508066,0.0025173954,0.0013476133,0.0004251878,0.000055128046,0.0000057054026,0.00013992416],"genre_scores_gemma":[0.99534804,0.00006050096,0.000025501628,0.0029270097,0.00004903839,0.0000028229356,2.3029612e-8,0.000011171882,0.0015758718],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979255,0.00035995935,0.00040288136,0.00027662364,0.0007857232,0.00024929742],"domain_scores_gemma":[0.99832875,0.0006005261,0.00050313835,0.00038048776,0.00009631159,0.00009078352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005458561,0.00014136174,0.00022059109,0.00013053708,0.00044408778,0.00006159397,0.00092076865,0.000031643653,0.0000063606262],"category_scores_gemma":[0.000951457,0.00006750704,0.00016638321,0.00076472934,0.0005959854,0.00021950534,0.00025463704,0.00029808903,0.000001700366],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011843463,0.000044249973,0.0019961165,0.000008396633,0.0000013487034,0.000028765191,0.0005564123,0.00026821415,0.99496645,0.000030892395,0.0018675175,0.00011320449],"study_design_scores_gemma":[0.00027672885,0.00095295074,0.4050532,0.000057613746,0.000016980835,0.0027687245,0.00023719396,0.0024652223,0.5816591,0.000042749354,0.0063373083,0.00013222838],"about_ca_topic_score_codex":0.000010068697,"about_ca_topic_score_gemma":0.000026193993,"teacher_disagreement_score":0.41330734,"about_ca_system_score_codex":0.000018463847,"about_ca_system_score_gemma":0.00019963509,"threshold_uncertainty_score":0.3415609},"labels":[],"label_agreement":null},{"id":"W2074878838","doi":"10.1186/1471-2202-8-s2-p45","title":"Synchronization of interhippocampal ripple events (80–200 Hz) by long-projection inhibitory neurons","year":2007,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Inhibitory postsynaptic potential; Neuroscience; Synchronization (alternating current); Projection (relational algebra); Ripple; Computer science; Psychology; Mathematics; Physics; Topology (electrical circuits); Combinatorics; Algorithm","score_opus":0.02718789947025728,"score_gpt":0.27290333552894086,"score_spread":0.24571543605868357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074878838","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8881113,0.000014597802,0.10782948,0.00006795243,0.0029491624,0.0003852082,0.000021346108,0.00012116972,0.0004997616],"genre_scores_gemma":[0.9982363,0.000024978051,0.00007180522,0.00077814935,0.00010331848,0.000009012225,0.0000063434554,0.000028502294,0.0007416042],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99731416,0.00016840997,0.00048164956,0.00084586855,0.00068509515,0.00050484785],"domain_scores_gemma":[0.99885005,0.00022746604,0.00030285236,0.00038420662,0.00008598289,0.00014946943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047882352,0.00022383321,0.00018348827,0.0002492634,0.0003029285,0.000059534366,0.000452716,0.00008277569,0.000022803992],"category_scores_gemma":[0.0013586294,0.00021727073,0.0000850702,0.0015257006,0.00030875247,0.00058699807,0.00015786667,0.00025259648,0.000023332796],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006482732,0.00018691143,0.018472046,0.000030970525,3.1589124e-7,0.000008725194,0.000040926574,0.00036732404,0.97657526,0.00022335313,0.00044522661,0.0035841174],"study_design_scores_gemma":[0.0007930451,0.000912448,0.099977136,0.00006138962,0.000016038157,0.00017553975,0.000034061544,0.07700111,0.818638,0.00029731035,0.0015856121,0.00050826656],"about_ca_topic_score_codex":0.000038997307,"about_ca_topic_score_gemma":0.000050420702,"teacher_disagreement_score":0.15793721,"about_ca_system_score_codex":0.00008764228,"about_ca_system_score_gemma":0.000098832694,"threshold_uncertainty_score":0.8860043},"labels":[],"label_agreement":null},{"id":"W2075162216","doi":"10.1016/s0928-4257(00)01097-4","title":"Impact of intrinsic properties and synaptic factors on the activity of neocortical networks in vivo","year":2000,"lang":"en","type":"article","venue":"Journal of Physiology-Paris","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":94,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Medical Research Council","keywords":"Depolarization; Bursting; Neuroscience; Neocortex; CATS; Postsynaptic potential; Electrophysiology; Cortical spreading depression; Biology; Chemistry; Biophysics; Medicine; Anesthesia; Internal medicine","score_opus":0.031124920724256478,"score_gpt":0.2536342233602987,"score_spread":0.22250930263604224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075162216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99957633,0.000025290674,0.0000047647354,0.00014581386,0.000086550266,0.00009266875,0.0000028783827,0.0000025349436,0.00006316385],"genre_scores_gemma":[0.99963313,0.00024846903,0.0000025158504,0.000053219763,0.000038059745,8.707231e-7,5.9154683e-8,0.0000055954956,0.00001810214],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99911296,0.00020501683,0.00029193188,0.000116694966,0.0001252229,0.00014814072],"domain_scores_gemma":[0.99911094,0.00043754067,0.00026392558,0.000116824674,0.000031258554,0.000039520542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014470467,0.000101629004,0.00030028573,0.000073498,0.00003803675,0.0000082924,0.000121790275,0.0000642194,0.000107553424],"category_scores_gemma":[0.00018266267,0.00005022549,0.000120095916,0.00016646249,0.0002331526,0.000115641786,0.000027308473,0.0003475431,5.736513e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007216671,0.00018553046,0.0054173744,0.000008494639,0.000021418278,0.0000025103936,0.000080946375,0.0048111207,0.98652846,0.000060794137,0.00006250581,0.0020992088],"study_design_scores_gemma":[0.00041248545,0.0026897332,0.82573444,0.00007704285,0.000023469373,0.00002754513,0.00002381009,0.020432897,0.14994192,0.00052913406,0.000012884492,0.000094657094],"about_ca_topic_score_codex":0.00006967712,"about_ca_topic_score_gemma":0.0000036887275,"teacher_disagreement_score":0.83658653,"about_ca_system_score_codex":0.00003074689,"about_ca_system_score_gemma":0.000032996664,"threshold_uncertainty_score":0.20481361},"labels":[],"label_agreement":null},{"id":"W2075202339","doi":"10.1016/j.bandc.2008.08.017","title":"Neurophysiology and neuroanatomy of reflexive and voluntary saccades in non-human primates","year":2008,"lang":"en","type":"review","venue":"Brain and Cognition","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":144,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials; Western University; Queen's University","funders":"","keywords":"Psychology; Supplementary eye field; Neuroscience; Superior colliculus; Dorsolateral prefrontal cortex; Saccade; Saccadic masking; Eye movement; Neurophysiology; Working memory; Frontal eye fields; Posterior parietal cortex; Neuroanatomy; Prefrontal cortex; Cognition; Cognitive psychology","score_opus":0.03952017931207544,"score_gpt":0.33348607291789983,"score_spread":0.29396589360582437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075202339","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3366613,0.66052586,0.0000055348933,0.00015953874,0.00019755359,0.0012780079,0.00015846798,0.000050405884,0.0009633199],"genre_scores_gemma":[0.03937349,0.9599501,0.000009472646,0.00046398255,0.000041188396,0.00002758047,0.000055302848,0.00002407624,0.000054794324],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986784,0.00021466275,0.00033328615,0.000520967,0.00008910478,0.00016359615],"domain_scores_gemma":[0.9991822,0.0004407533,0.0002073766,0.000098344535,0.000018698644,0.000052618685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005036263,0.00024025871,0.00062167755,0.0002360629,0.00010699173,0.000024357794,0.00006471511,0.00014299563,0.000004124927],"category_scores_gemma":[0.0001324778,0.00020528665,0.00005645034,0.00019751559,0.0002897689,0.00012124808,0.0001029355,0.0002653183,0.0000016480309],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034567754,0.00007736405,0.000027968517,0.006376656,0.000010382005,0.0000996419,0.000075412434,1.7025441e-7,0.018453544,0.0007301638,0.00012615464,0.973988],"study_design_scores_gemma":[0.01058048,0.00935046,0.066266105,0.03940676,0.0018077693,0.011756698,0.00025070843,0.004105812,0.0034544866,0.047685962,0.79829174,0.0070430106],"about_ca_topic_score_codex":0.000019573841,"about_ca_topic_score_gemma":0.00000643399,"teacher_disagreement_score":0.966945,"about_ca_system_score_codex":0.000008127221,"about_ca_system_score_gemma":0.000018785124,"threshold_uncertainty_score":0.83713466},"labels":[],"label_agreement":null},{"id":"W2075358425","doi":"10.1523/jneurosci.3440-03.2004","title":"Cortical Synaptogenesis and Motor Map Reorganization Occur during Late, But Not Early, Phase of Motor Skill Learning","year":2004,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":606,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Fondation pour la Recherche Médicale; Canadian Stroke Network","keywords":"Synaptogenesis; Forelimb; Motor cortex; Neuroscience; Motor learning; Neuroplasticity; Motor skill; Psychology; Primary motor cortex; Synapse; Motor neuron; Biology; Stimulation","score_opus":0.022490438947782625,"score_gpt":0.2634166166771715,"score_spread":0.24092617772938885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075358425","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99766916,0.000011121491,0.001150463,0.00032852517,0.00068824,0.000112072135,0.0000097268485,0.000020785577,0.000009908915],"genre_scores_gemma":[0.99916553,0.00010822083,0.00014302194,0.00027187262,0.00006976166,7.6670926e-7,1.2365985e-7,0.00001651726,0.00022415664],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983192,0.00010972259,0.00048722615,0.00030637704,0.0005319903,0.00024546942],"domain_scores_gemma":[0.998926,0.00014983426,0.00050026,0.00012214048,0.00013289462,0.00016886576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002531272,0.000134982,0.00021992289,0.00020954323,0.00027392065,0.000090284135,0.0002608055,0.00005038849,0.000005756627],"category_scores_gemma":[0.0022221548,0.000114570284,0.00007158763,0.000440895,0.0002427709,0.000587641,0.00009638239,0.0003229881,0.000002850855],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016431097,0.00013187747,0.001271031,0.000021738637,9.737385e-7,0.000117533484,0.00008373587,0.0009981167,0.99690485,0.00014653642,0.0000010741379,0.00015821976],"study_design_scores_gemma":[0.0014063156,0.0018859766,0.16885881,0.000061198516,0.000020262705,0.00064555893,0.0000238279,0.0037276375,0.8230558,0.00011589996,0.000044341596,0.00015438373],"about_ca_topic_score_codex":0.0000062391255,"about_ca_topic_score_gemma":4.328508e-7,"teacher_disagreement_score":0.17384906,"about_ca_system_score_codex":0.000045979472,"about_ca_system_score_gemma":0.0000658546,"threshold_uncertainty_score":0.46720406},"labels":[],"label_agreement":null},{"id":"W2075493003","doi":"10.1038/nn.3308","title":"Lag normalization in an electrically coupled neural network","year":2013,"lang":"en","type":"article","venue":"Nature Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":85,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Canadian Institutes of Health Research","keywords":"Normalization (sociology); Neuroscience; Retina; Neurophysiology; Lag; Neural coding; Coding (social sciences); Computer science; Artificial intelligence; Computer vision; Biology; Mathematics","score_opus":0.01224459035710319,"score_gpt":0.2533949657917487,"score_spread":0.24115037543464551,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075493003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99578714,0.000021843418,0.00042035826,0.0009823018,0.0016014079,0.00047185124,0.0000015026258,0.00014947838,0.0005641416],"genre_scores_gemma":[0.9836231,0.000024015002,0.00007298124,0.015869532,0.00015657635,0.000030867388,0.0000032635403,0.000019471652,0.00020020339],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975795,0.00023901422,0.0002654467,0.00077300426,0.00052386837,0.0006191574],"domain_scores_gemma":[0.9991308,0.00020994108,0.000109665336,0.00031805653,0.000072550625,0.00015898631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024731684,0.00018965645,0.00015444604,0.00015606947,0.00025063002,0.0003713136,0.0005821591,0.00018298253,0.00004135018],"category_scores_gemma":[0.0011589475,0.000162305,0.000041750343,0.0021668263,0.00011978164,0.0016928022,0.00008433194,0.000792326,0.000032838976],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026681433,0.00008286243,0.0050194967,0.0000036522317,8.174601e-8,0.000023866784,0.000015969139,0.01279457,0.97668296,0.0031296082,0.00035005284,0.0018701927],"study_design_scores_gemma":[0.00024697607,0.00027426978,0.1797093,0.000005664396,0.0000016607397,0.000040597755,0.0000026186017,0.8110336,0.0067277774,0.0011750514,0.00056384626,0.00021865375],"about_ca_topic_score_codex":0.000025079073,"about_ca_topic_score_gemma":0.000043071417,"teacher_disagreement_score":0.9699552,"about_ca_system_score_codex":0.000042610118,"about_ca_system_score_gemma":0.000039737442,"threshold_uncertainty_score":0.66186064},"labels":[],"label_agreement":null},{"id":"W2075498034","doi":"10.1016/j.neuron.2008.11.028","title":"Electrical Coupling Mediates Tunable Low-Frequency Oscillations and Resonance in the Cerebellar Golgi Cell Network","year":2009,"lang":"en","type":"article","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":230,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Neuroscience; Golgi apparatus; Electrical Synapses; Cerebellar cortex; Excitatory postsynaptic potential; Cerebellum; Physics; Population; Coupling (piping); Chemistry; Biology; Biophysics; Inhibitory postsynaptic potential; Materials science; Cell; Gap junction; Cell biology; Intracellular","score_opus":0.013335695646537008,"score_gpt":0.22358914111449554,"score_spread":0.21025344546795854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075498034","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947846,0.0003625339,0.000034472294,0.0017525705,0.00019873216,0.00022525123,0.0000023294676,0.000042704905,0.0025968365],"genre_scores_gemma":[0.99649405,0.0005199998,0.00004201221,0.002619861,0.00013967243,0.0000052597147,0.0000016921501,0.000009209327,0.00016824444],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988632,0.00008048411,0.00017168965,0.00034602196,0.00021558408,0.00032297272],"domain_scores_gemma":[0.99927646,0.00042265037,0.000054736272,0.00019155868,0.000012807746,0.00004179086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017863323,0.00011322709,0.00010149095,0.000045633,0.00022236702,0.00007724154,0.00017318947,0.000050433653,0.0000066705275],"category_scores_gemma":[0.00019845025,0.000085193504,0.000025672685,0.0005744482,0.000039003025,0.00012335194,0.000020018244,0.0002770739,0.000011046032],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000073520496,0.00025374192,0.014171092,0.000022985007,7.02201e-7,0.00013988087,0.00027059205,0.015950406,0.93927443,0.019471914,0.0033890887,0.006981632],"study_design_scores_gemma":[0.0014765074,0.0013945566,0.35467756,0.000069005386,0.000025004752,0.000100535224,0.000026806407,0.5608991,0.027062215,0.03932465,0.014188268,0.0007558348],"about_ca_topic_score_codex":0.000012448748,"about_ca_topic_score_gemma":0.000013432639,"teacher_disagreement_score":0.91221225,"about_ca_system_score_codex":0.000020349804,"about_ca_system_score_gemma":0.000018607654,"threshold_uncertainty_score":0.347409},"labels":[],"label_agreement":null},{"id":"W2075601619","doi":"10.1103/physreve.75.011922","title":"Complex phase synchronization in epileptic seizures: Evidence for a devil’s staircase","year":2007,"lang":"en","type":"article","venue":"Physical Review E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Toronto Western Hospital; Hospital for Sick Children; University of Toronto","funders":"Hospital for Sick Children","keywords":"Neocortex; Magnetoencephalography; Epilepsy; Neuroscience; Pathological; Synchronization (alternating current); Epileptic seizure; Electroencephalography; Phase synchronization; Psychology; Phase (matter); Physics; Medicine; Mathematics; Internal medicine; Topology (electrical circuits)","score_opus":0.15103487735807042,"score_gpt":0.43137365070349626,"score_spread":0.28033877334542584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075601619","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86670685,0.006027759,0.11788358,0.0034663721,0.00040820523,0.0046245405,0.000053347158,0.00017709618,0.0006522414],"genre_scores_gemma":[0.9932302,0.002566215,0.00012930844,0.0038064618,0.00014218857,0.00006644778,0.000011813332,0.00001536072,0.000031973603],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873924,0.00008793452,0.00030820476,0.00036737017,0.00021308335,0.00028417353],"domain_scores_gemma":[0.9982884,0.0012584679,0.00011414593,0.00020516271,0.00004878834,0.00008504457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043528035,0.00013067693,0.000272412,0.000048063714,0.000075457916,0.00002403354,0.00013503133,0.000017111837,0.000031456475],"category_scores_gemma":[0.0031683166,0.00010878417,0.00010841137,0.0005163257,0.000051288815,0.00023498615,0.000034269255,0.00010776735,0.000051282383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025699084,0.0013337913,0.000101890444,0.0046499106,0.000004640482,0.00010650868,0.00010190147,0.00010477803,0.49101448,0.03239251,0.002137542,0.46779504],"study_design_scores_gemma":[0.006865774,0.0037345316,0.003946823,0.019241791,0.00030697105,0.00016259846,0.000040254763,0.7939627,0.045246936,0.035267446,0.089243084,0.0019810447],"about_ca_topic_score_codex":0.000006913291,"about_ca_topic_score_gemma":0.000020650472,"teacher_disagreement_score":0.793858,"about_ca_system_score_codex":0.00009232359,"about_ca_system_score_gemma":0.00003322259,"threshold_uncertainty_score":0.44360897},"labels":[],"label_agreement":null},{"id":"W2075809483","doi":"10.12688/f1000research.5977.1","title":"Qualia as social effects of minds","year":2014,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Qualia; Psychology; Perception; Consciousness; Stimulus (psychology); Subliminal stimuli; Cognitive psychology; P600; Event-related potential; Cognition; Neuroscience; N400","score_opus":0.06364300999266487,"score_gpt":0.38226094224699103,"score_spread":0.31861793225432616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075809483","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98458433,0.000030786214,0.00026137076,0.0011644824,0.0016848778,0.0007985391,0.000040265953,0.000079861646,0.0113554625],"genre_scores_gemma":[0.9900785,0.00004426745,0.00002986376,0.000273179,0.00047890528,0.000083288694,0.000019996829,0.00004561585,0.008946389],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99674565,0.0007227847,0.0002958196,0.0006613492,0.0011313497,0.00044303713],"domain_scores_gemma":[0.99802226,0.0011110352,0.00016572145,0.0004682835,0.00012166329,0.00011101871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062044815,0.00021145956,0.00036186213,0.00026661486,0.0001669104,0.00009712296,0.00080608344,0.0003185282,0.00018080017],"category_scores_gemma":[0.0022135559,0.00019389518,0.00020232657,0.00025999025,0.00029072404,0.000044627704,0.0012972724,0.0010045684,0.00032295592],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016701994,0.00020117186,0.00015747,0.0019245835,0.000018931165,0.000068646754,0.00037270293,0.000058991587,0.9455606,0.020689255,0.015989758,0.01479089],"study_design_scores_gemma":[0.00087787316,0.0006935205,0.005874977,0.0002691085,0.000033174427,0.000012025949,0.000022110766,0.010703066,0.9163955,0.049851462,0.014668904,0.00059829454],"about_ca_topic_score_codex":0.00017479603,"about_ca_topic_score_gemma":0.000005770892,"teacher_disagreement_score":0.029165095,"about_ca_system_score_codex":0.000067300985,"about_ca_system_score_gemma":0.0001727805,"threshold_uncertainty_score":0.7906816},"labels":[],"label_agreement":null},{"id":"W2075921608","doi":"10.1007/s10548-013-0321-y","title":"Scalp EEG is not a Blur: It Can See High Frequency Oscillations Although Their Generators are Small","year":2013,"lang":"en","type":"article","venue":"Brain Topography","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":167,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research","keywords":"Scalp; Electroencephalography; Stereoelectroencephalography; Ictal; Neuroscience; Medicine; Anatomy; Psychology","score_opus":0.028818260278263813,"score_gpt":0.22550919082831722,"score_spread":0.1966909305500534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075921608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9511303,0.00003830409,0.0003728277,0.0449399,0.00095339376,0.00067210733,0.00028207846,0.00024551598,0.0013656011],"genre_scores_gemma":[0.9541001,0.00006853472,0.000957947,0.04339322,0.00023586233,0.00012094139,0.000020993986,0.000049705137,0.0010527271],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99768955,0.00019786855,0.00039370402,0.0008099925,0.00033515698,0.0005737198],"domain_scores_gemma":[0.9984602,0.0003381397,0.00021722056,0.00061688107,0.000118458986,0.0002490969],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014116609,0.00033870665,0.00027239975,0.00038089298,0.0005276382,0.00025582168,0.0004088008,0.00015731159,0.00052675983],"category_scores_gemma":[0.00023599982,0.00028445816,0.00028572668,0.0013706173,0.00020594995,0.00025985265,0.0000922102,0.00028928055,0.00015587006],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022065711,0.00028006593,0.020965695,0.00006909237,0.00005343039,0.00003294839,0.0010646769,0.00023202288,0.8390037,0.018626237,0.09712358,0.022526493],"study_design_scores_gemma":[0.0034979007,0.000987837,0.41333225,0.00024565842,0.00011898828,0.00016593123,0.0008201962,0.016278803,0.26505232,0.09385973,0.20147896,0.004161411],"about_ca_topic_score_codex":0.0007841324,"about_ca_topic_score_gemma":0.0005590613,"teacher_disagreement_score":0.57395136,"about_ca_system_score_codex":0.000040523442,"about_ca_system_score_gemma":0.00005069837,"threshold_uncertainty_score":0.9999608},"labels":[],"label_agreement":null},{"id":"W2075955793","doi":"10.1523/jneurosci.3474-11.2012","title":"Neural Correlation Is Stimulus Modulated by Feedforward Inhibitory Circuitry","year":2012,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":96,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; National Institute of Neurological Disorders and Stroke; U.S. Department of Energy; National Institutes of Health; National Science Foundation","keywords":"Neuroscience; Sensory system; Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Barrel cortex; Coactivation; Stimulus (psychology); Population; Psychology; Feed forward; Biology; Medicine","score_opus":0.0300778994939755,"score_gpt":0.25983945693116517,"score_spread":0.22976155743718968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075955793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903244,0.000078968165,0.0025340808,0.00080531236,0.0058061574,0.00010702281,0.00001194275,0.000032022595,0.00030011177],"genre_scores_gemma":[0.9942092,0.00004260372,0.000023830744,0.0048526484,0.0002781263,9.570879e-7,4.3833782e-7,0.000018221686,0.0005740068],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978261,0.0001407228,0.00049850025,0.00027206144,0.00080596743,0.00045664565],"domain_scores_gemma":[0.9987082,0.00015774024,0.0005551296,0.00018794033,0.00009366271,0.0002973349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003953779,0.00017282118,0.00020117023,0.00018970299,0.00025525887,0.00011467401,0.0003897523,0.000073170435,0.000025027231],"category_scores_gemma":[0.0007500657,0.00014252994,0.00013113917,0.0006587731,0.00018672373,0.0017545598,0.00007250919,0.00045028294,0.000021764992],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027114795,0.000115433424,0.002598775,0.000004540859,6.19201e-7,0.00001536203,0.00009984865,0.0010001913,0.9905189,0.000066708235,0.0034002913,0.0021521638],"study_design_scores_gemma":[0.0016428543,0.0014275917,0.15281719,0.000067129746,0.00005896368,0.0031293286,0.00006332293,0.35161382,0.46928158,0.0005690216,0.018552314,0.0007769018],"about_ca_topic_score_codex":0.0000026396997,"about_ca_topic_score_gemma":8.151109e-8,"teacher_disagreement_score":0.5212374,"about_ca_system_score_codex":0.00008011635,"about_ca_system_score_gemma":0.00005054926,"threshold_uncertainty_score":0.58122027},"labels":[],"label_agreement":null},{"id":"W2076093573","doi":"10.1109/bicta.2010.5645262","title":"Modeling neuronal ensemble firing activity through intermittent Chaos","year":2010,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Intermittency; Chaotic; Symbolic dynamics; Logistic map; Computer science; Nonlinear system; Statistical physics; Artificial intelligence; Pattern recognition (psychology); Mathematics; Physics","score_opus":0.05152238481606098,"score_gpt":0.27673602727611596,"score_spread":0.22521364246005499,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076093573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9666329,6.661551e-7,0.021505821,0.00086031895,0.0013581497,0.00010807963,0.0000018072498,0.00013093703,0.009401326],"genre_scores_gemma":[0.9970696,0.0000054363754,0.00025175535,0.0013626287,0.00013637159,0.0000075089174,4.8164435e-7,0.000015219386,0.0011509876],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990771,0.000026149317,0.00010969894,0.00037038155,0.00018247026,0.00023421049],"domain_scores_gemma":[0.99961203,0.0000725834,0.000029301556,0.00021704602,0.000017347149,0.000051699168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000065219174,0.000114495,0.00009127295,0.000030411353,0.00015885946,0.00007170627,0.00015936984,0.00004733571,0.0001193456],"category_scores_gemma":[0.00013631562,0.00009434657,0.000064659194,0.00009573046,0.00003263075,0.00036750347,0.00011821926,0.0003645291,0.00007201381],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014795443,0.000039590755,0.00002707233,0.0000037637226,6.8983974e-7,0.000005268457,0.0000256457,0.0011761738,0.97669333,0.0046573044,0.000038623697,0.017317718],"study_design_scores_gemma":[0.000109118,0.00003565758,0.00023306657,0.000002834747,0.0000020056023,0.000026329344,0.0000031800814,0.6406622,0.35652107,0.0018639739,0.0004379843,0.00010256607],"about_ca_topic_score_codex":0.000046366014,"about_ca_topic_score_gemma":0.00006975152,"teacher_disagreement_score":0.639486,"about_ca_system_score_codex":0.000011141927,"about_ca_system_score_gemma":0.00001308311,"threshold_uncertainty_score":0.38473415},"labels":[],"label_agreement":null},{"id":"W2076228010","doi":"10.1007/s10827-007-0070-6","title":"Mechanism of gain modulation at single neuron and network levels","year":2008,"lang":"en","type":"article","venue":"Journal of Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Columbia College","funders":"James G. Boswell Foundation; National Institutes of Health; National Science Foundation","keywords":"Sigmoid function; Modulation (music); Constraint (computer-aided design); Artificial neural network; Computer science; Nonlinear system; Multiplicative function; Transformation (genetics); Neuron; Transfer function; Control theory (sociology); Biological neuron model; Mathematics; Artificial intelligence; Neuroscience; Physics; Mathematical analysis","score_opus":0.060475400109319746,"score_gpt":0.2592585087980384,"score_spread":0.19878310868871868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076228010","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.954517,0.000010549867,0.04411783,0.00041934664,0.0007598659,0.00007505748,0.000005398805,0.000009439583,0.0000854907],"genre_scores_gemma":[0.99755794,0.000024675857,0.0012257616,0.0010192448,0.00008802878,3.9502197e-7,3.3940336e-7,0.000008655867,0.00007498214],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99842066,0.0001223569,0.00042594995,0.00021780272,0.000650177,0.00016306958],"domain_scores_gemma":[0.998766,0.0003831086,0.00054905016,0.00007360742,0.0001378002,0.000090442714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000229031,0.000100707715,0.0001744253,0.00012687112,0.00026674505,0.000025455944,0.0001745395,0.000027630866,0.000008465165],"category_scores_gemma":[0.00041540447,0.00008843226,0.000062195315,0.00038613979,0.00027568656,0.00039773842,0.00008179138,0.00012399594,0.0000011704527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035792076,0.0000523672,0.0003613322,0.0000047557287,5.051397e-7,0.00003766786,0.00004079514,0.34954232,0.6398916,0.009477418,0.000071615854,0.00048383206],"study_design_scores_gemma":[0.000586853,0.0010221956,0.12613034,0.00003066052,0.000007599109,0.0032538034,0.0000030980746,0.7707128,0.045502823,0.05241446,0.00017079388,0.00016459585],"about_ca_topic_score_codex":6.2890103e-7,"about_ca_topic_score_gemma":2.6591317e-7,"teacher_disagreement_score":0.5943888,"about_ca_system_score_codex":0.000031032756,"about_ca_system_score_gemma":0.00005508576,"threshold_uncertainty_score":0.36061627},"labels":[],"label_agreement":null},{"id":"W2076625068","doi":"10.1021/cn200119u","title":"Optimizing the Temporal Resolution of Fast-Scan Cyclic Voltammetry","year":2012,"lang":"en","type":"article","venue":"ACS Chemical Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Mental Health","keywords":"Cyclic voltammetry; Resolution (logic); Computer science; Chemistry; Artificial intelligence; Electrochemistry; Electrode","score_opus":0.03485102424308839,"score_gpt":0.26277339156008833,"score_spread":0.22792236731699994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076625068","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99590445,0.000030583396,0.0009673718,0.00078173925,0.00089624646,0.0001646933,0.000008855065,0.00006522076,0.0011808187],"genre_scores_gemma":[0.9975669,0.000023765782,0.0001935477,0.0018571937,0.00013233056,0.000009156943,0.0000012650389,0.000014396047,0.00020146985],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99818134,0.00009291765,0.00028104353,0.0004075125,0.00050976296,0.00052742916],"domain_scores_gemma":[0.99897814,0.00028996577,0.00016952431,0.00038881134,0.000027340311,0.0001462025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030646415,0.0001575883,0.00014990679,0.000064067906,0.00022613368,0.00004917852,0.000616726,0.000060509574,0.000008326999],"category_scores_gemma":[0.00127005,0.00010496914,0.00008138183,0.000863648,0.0005972867,0.00048415482,0.00026208983,0.00028986108,0.000012496811],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014603888,0.00007335759,0.0010562004,0.0000052463984,2.9331574e-7,9.424067e-7,0.000070888564,0.00004702502,0.99608016,0.0013386863,0.00020476399,0.0011078177],"study_design_scores_gemma":[0.00012578696,0.000047708712,0.0024914374,0.000008925194,0.000007227434,0.00003603907,0.000023210418,0.0077495165,0.9870799,0.00016823283,0.0021262947,0.00013570098],"about_ca_topic_score_codex":0.000018361477,"about_ca_topic_score_gemma":5.888278e-7,"teacher_disagreement_score":0.009000255,"about_ca_system_score_codex":0.000034641722,"about_ca_system_score_gemma":0.000023111033,"threshold_uncertainty_score":0.4280517},"labels":[],"label_agreement":null},{"id":"W2077154117","doi":"10.1523/jneurosci.5120-03.2004","title":"Evidence for Gaze Feedback to the Cat Superior Colliculus: Discharges Reflect Gaze Trajectory Perturbations","year":2004,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research","keywords":"Gaze; Saccade; Superior colliculus; Fixation (population genetics); Saccadic masking; Psychology; Eye movement; Communication; Neuroscience; Medicine; Population","score_opus":0.11508407017016836,"score_gpt":0.3348917762960984,"score_spread":0.21980770612593004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077154117","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9588746,0.00011869045,0.0078387465,0.029670259,0.0028038286,0.00058806565,0.000024223578,0.000027124617,0.000054498643],"genre_scores_gemma":[0.9902347,0.00032721556,0.00063563406,0.0077649867,0.00031668568,0.000026998614,1.608263e-7,0.000019643343,0.0006740128],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99792,0.00012101216,0.00045789225,0.00042043006,0.0006784352,0.00040227015],"domain_scores_gemma":[0.9982586,0.00074764126,0.00028147522,0.00030274194,0.00018812012,0.00022144627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057674723,0.00018178597,0.00021111102,0.00017004415,0.00067397906,0.00029203936,0.00092751987,0.000038942035,0.000008057458],"category_scores_gemma":[0.0061590103,0.00011199083,0.00020169374,0.0009774478,0.00021506469,0.0008694625,0.00007788634,0.00023241066,0.00001359984],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009100711,0.00006937835,0.00006070623,0.000009166221,7.769659e-7,0.000016074628,0.00032940006,0.0054656975,0.99165,0.00092214195,0.0007082135,0.00067744305],"study_design_scores_gemma":[0.0029398126,0.009597961,0.08914233,0.0012709909,0.00014217346,0.003716455,0.00060008303,0.01594276,0.7950013,0.0034241362,0.076917164,0.0013047988],"about_ca_topic_score_codex":0.0000065139047,"about_ca_topic_score_gemma":0.00002544507,"teacher_disagreement_score":0.19664866,"about_ca_system_score_codex":0.00015267977,"about_ca_system_score_gemma":0.0003080862,"threshold_uncertainty_score":0.73733556},"labels":[],"label_agreement":null},{"id":"W2077223464","doi":"10.1046/j.0953-816x.2001.01594.x","title":"Phase‐coupled oscillator models can predict hippocampal inhibitory synaptic connections","year":2001,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"Medical Research Council; Natural Sciences and Engineering Research Council of Canada; Heart and Stroke Foundation of Canada","keywords":"Neuroscience; Inhibitory postsynaptic potential; Hippocampal formation; Physics; Coupling (piping); Local field potential; Rhythm; Dorsum; GABAergic; Hippocampus; Population; Biology; Anatomy; Acoustics","score_opus":0.04839419092819087,"score_gpt":0.261623697250188,"score_spread":0.21322950632199716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077223464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9853292,0.00002740456,0.007270722,0.0009603523,0.0037556586,0.00015845548,0.00000887633,0.000084727835,0.0024045827],"genre_scores_gemma":[0.99727887,0.0001501446,0.00012622302,0.0017395578,0.00043582483,0.0000011034859,3.0332077e-7,0.00004298562,0.0002249889],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967299,0.0004588774,0.00070353085,0.00056735985,0.001014648,0.0005256682],"domain_scores_gemma":[0.9981958,0.00017899147,0.00055901776,0.0003685806,0.00022701659,0.0004705515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011940314,0.0002439433,0.0002614716,0.00050744636,0.0007782631,0.00026515083,0.0009403,0.000022858992,0.000017418788],"category_scores_gemma":[0.0015382078,0.00020536265,0.00016075594,0.0013471739,0.0008242374,0.0010790722,0.00016843536,0.00052601984,0.000022805812],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000097084994,0.000259663,0.000031726668,0.0000046094337,0.0000019865624,0.00092740403,0.00013472079,0.0038457294,0.9916323,0.0008021476,0.00014952743,0.0021130897],"study_design_scores_gemma":[0.0132356165,0.016986966,0.008360781,0.0003278873,0.00018328888,0.026290998,0.0003651569,0.8006218,0.090496264,0.0055753756,0.03567469,0.0018811453],"about_ca_topic_score_codex":0.0000032443022,"about_ca_topic_score_gemma":0.000001432706,"teacher_disagreement_score":0.90113604,"about_ca_system_score_codex":0.000112425674,"about_ca_system_score_gemma":0.0002505751,"threshold_uncertainty_score":0.8374446},"labels":[],"label_agreement":null},{"id":"W2077299950","doi":"10.1371/journal.pone.0003689","title":"Visual Cells Remember Earlier Applied Target: Plasticity of Orientation Selectivity","year":2008,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Visual cortex; Stimulus (psychology); Neuroscience; Sensory system; Adaptation (eye); Orientation (vector space); Psychology; Cognitive psychology; Mathematics; Geometry","score_opus":0.045457083778945424,"score_gpt":0.22997588039624156,"score_spread":0.18451879661729614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077299950","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99593997,9.004792e-7,0.0008354037,0.000024812885,0.00007784234,0.00021232251,0.0000110548,0.000049935734,0.0028477707],"genre_scores_gemma":[0.9986689,0.000010054517,0.0005443608,0.00013665351,0.00006266058,0.000011574077,0.00000323765,0.000013286974,0.0005492409],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99896675,0.000042890122,0.00015746737,0.00027935812,0.00038955812,0.00016399944],"domain_scores_gemma":[0.99955845,0.00015646267,0.00010029243,0.00008631237,0.000051270014,0.000047196336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000055297318,0.00009026779,0.00015394905,0.000055024484,0.00012293454,0.000008129985,0.0000660493,0.00004576961,0.00012212552],"category_scores_gemma":[0.0001453433,0.00008688682,0.000028804065,0.00027819656,0.000079466394,0.000106611405,0.00003116655,0.00012134793,0.000070691065],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000086597785,0.0009808424,0.0012515683,0.00002481923,0.000007325788,0.0000029945181,0.00008825833,0.00009818391,0.9969373,0.00039311868,0.00006073949,0.0000682647],"study_design_scores_gemma":[0.0002555425,0.00013196732,0.0071385857,0.0000074377626,0.000014800828,0.0000017003537,0.0000036495833,0.009057678,0.9830814,0.00019589672,0.000019692812,0.00009165511],"about_ca_topic_score_codex":0.0000105605695,"about_ca_topic_score_gemma":0.0000029934079,"teacher_disagreement_score":0.013855894,"about_ca_system_score_codex":0.000028726734,"about_ca_system_score_gemma":0.000024968462,"threshold_uncertainty_score":0.35431418},"labels":[],"label_agreement":null},{"id":"W2077320490","doi":"10.1088/0967-3334/35/4/549","title":"Measure of synchrony in the activity of intrinsic cardiac neurons","year":2014,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Hôpital du Sacré-Cœur de Montréal","funders":"National Heart, Lung, and Blood Institute; Natural Sciences and Engineering Research Council of Canada","keywords":"Jitter; Context (archaeology); Neuroscience; Premovement neuronal activity; Cardiac function curve; Population; Computer science; Medicine; Cardiology; Biology","score_opus":0.09167806741231392,"score_gpt":0.2589810047669909,"score_spread":0.16730293735467694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077320490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99807733,0.000015903792,0.00015935393,0.00031516392,0.00019426084,0.00027048934,0.000004501108,0.00001298785,0.0009500308],"genre_scores_gemma":[0.99973637,0.000014856753,0.000008422253,0.00016792079,0.00004495915,0.000020940528,3.3123268e-7,0.000004305277,0.0000019218112],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99792993,0.0008345946,0.00019726742,0.00026300346,0.00060458435,0.0001706215],"domain_scores_gemma":[0.99923456,0.00026342555,0.00012698559,0.0002850914,0.00006348501,0.000026431997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085259473,0.000108006876,0.0002532547,0.000034320394,0.00004334518,0.000006285746,0.00025729177,0.00004090016,0.000007841456],"category_scores_gemma":[0.0011741001,0.00006103984,0.00011201318,0.00024482582,0.0001275195,0.000044520806,0.00005536343,0.00018070752,0.0000040234836],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051733907,0.0002248964,0.00031240634,0.000020866615,0.0000024780027,2.9731981e-7,0.000024920615,0.00013746426,0.98362035,0.0024213153,0.00005201512,0.013131232],"study_design_scores_gemma":[0.00035112072,0.00086316606,0.5414648,0.00003966039,0.000016607408,0.000001216914,0.000014457639,0.0011703253,0.4524027,0.003287813,0.00024880609,0.00013931206],"about_ca_topic_score_codex":0.000024379126,"about_ca_topic_score_gemma":0.0000051189236,"teacher_disagreement_score":0.5411524,"about_ca_system_score_codex":0.000031307238,"about_ca_system_score_gemma":0.000015650508,"threshold_uncertainty_score":0.24891326},"labels":[],"label_agreement":null},{"id":"W2077664068","doi":"10.1016/j.neuron.2011.06.001","title":"Searching for the Neural Mechanisms of Feature-Based Attention in the Primate Brain","year":2011,"lang":"en","type":"letter","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Stimulus (psychology); Cognitive psychology; Neuroscience; Psychology; Top-down and bottom-up design; Cognitive science; Neocortex; Primate; Computer science","score_opus":0.04753585765545285,"score_gpt":0.28331490124473246,"score_spread":0.23577904358927962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077664068","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018563032,0.00001515675,0.006025998,0.97023004,0.0021696365,0.002432208,0.00010766515,0.000063283296,0.00039298047],"genre_scores_gemma":[0.20586886,0.0000080316295,0.000070143855,0.7923521,0.0005256277,0.00016943539,0.0000681205,0.00007375357,0.0008639779],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99782723,0.00057191943,0.00024299006,0.00049339555,0.00048122546,0.00038322207],"domain_scores_gemma":[0.99703735,0.0021418543,0.00025658743,0.00051987724,0.000029100604,0.000015201174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005041,0.00024192584,0.00020956242,0.00014127103,0.00019824014,0.00009267785,0.0007644511,0.00020936303,0.000008869317],"category_scores_gemma":[0.0003797642,0.0001364886,0.00021980371,0.00023557093,0.00009364509,0.00008931129,0.00006462211,0.0014407891,0.0000047539784],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028320277,0.00011020034,0.000021740296,0.0005463542,0.0000081421,0.00016562508,0.00017343204,0.00041363965,0.63418275,0.0076830992,0.34814945,0.008262388],"study_design_scores_gemma":[0.003868149,0.00358134,0.007975862,0.0004003612,0.00027313246,0.00022273335,0.000055858996,0.2865065,0.10377919,0.04062688,0.55109924,0.0016107486],"about_ca_topic_score_codex":0.000043375174,"about_ca_topic_score_gemma":0.00001668648,"teacher_disagreement_score":0.53040355,"about_ca_system_score_codex":0.000022847293,"about_ca_system_score_gemma":0.000030667263,"threshold_uncertainty_score":0.62595916},"labels":[],"label_agreement":null},{"id":"W2077759458","doi":"10.1121/1.2935181","title":"Training-induced auditory plasticity measured using auditory steady-state responses","year":2008,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital","funders":"","keywords":"Audiology; Auditory cortex; Auditory system; Training (meteorology); Brainstem; Auditory feedback; Neuroplasticity; Psychology; Medicine; Neuroscience; Physics","score_opus":0.08583258694767672,"score_gpt":0.2837388221853137,"score_spread":0.197906235237637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077759458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95151514,0.000021620594,0.04503529,0.0013637249,0.0018350563,0.00012637302,0.000016435739,0.000018796458,0.00006757852],"genre_scores_gemma":[0.995567,0.00011352512,0.0019992243,0.0015076838,0.0006324683,5.1691524e-7,5.3133633e-8,0.000020555004,0.00015893264],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99746627,0.0006351171,0.00050212885,0.0001500464,0.00093220634,0.00031425973],"domain_scores_gemma":[0.9963511,0.0022742937,0.00080384396,0.00023590671,0.00021997245,0.000114886905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063921034,0.00017185493,0.00035130943,0.000029121074,0.00061630656,0.000014900121,0.0006323481,0.000068682275,0.000019311163],"category_scores_gemma":[0.0026772332,0.00009394787,0.00038923576,0.00040650935,0.001150268,0.00013884061,0.00013537002,0.000713252,0.0000035291234],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037385343,0.00008259502,0.000018953211,0.000010812882,0.000036021556,0.0000067109013,0.0012013582,0.013791391,0.9773855,0.0000010949234,0.005669902,0.001421781],"study_design_scores_gemma":[0.002316156,0.002468149,0.01853888,0.0003360318,0.0007230687,0.0024880935,0.0039773397,0.7949156,0.16763175,0.0015346683,0.004256482,0.000813758],"about_ca_topic_score_codex":0.00001864172,"about_ca_topic_score_gemma":3.2258194e-7,"teacher_disagreement_score":0.8097538,"about_ca_system_score_codex":0.00012546555,"about_ca_system_score_gemma":0.00035193,"threshold_uncertainty_score":0.4740194},"labels":[],"label_agreement":null},{"id":"W2077760499","doi":"10.1167/14.12.6","title":"Time to wave good-bye to phase scrambling: Creating controlled scrambled images using diffeomorphic transformations","year":2014,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":127,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Scrambling; Artificial intelligence; Perception; Pattern recognition (psychology); Computer science; Visual perception; Visual processing; Distortion (music); Texture (cosmology); Computer vision; Set (abstract data type); Communication; Image (mathematics); Psychology; Neuroscience; Algorithm","score_opus":0.033329702939725835,"score_gpt":0.3160956066320331,"score_spread":0.2827659036923073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077760499","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.937348,0.000007139662,0.058341816,0.0023729417,0.00033458284,0.00040444176,0.000009574014,0.000024615829,0.0011568501],"genre_scores_gemma":[0.9951833,0.0000062773406,0.0027328243,0.0014011484,0.00025135104,0.0000025174681,0.0000011377763,0.000021171105,0.00040027988],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981462,0.00020416007,0.00069453736,0.00019396472,0.00050391053,0.00025722527],"domain_scores_gemma":[0.9985283,0.0004764173,0.0003719439,0.00014883988,0.0001997966,0.00027468233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085111475,0.00016343535,0.00042359857,0.00040530623,0.00033551393,0.0002135432,0.00017116984,0.000053303276,0.000115430536],"category_scores_gemma":[0.0014894137,0.00012103251,0.00019276123,0.00041477312,0.000026711492,0.00050381216,0.000035974044,0.00023013353,0.000080179605],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067356246,0.00017271649,0.000003222211,0.000007847703,0.000006121464,0.000012693454,0.00013276933,0.0039080437,0.9846292,0.00009124749,0.00027274518,0.010089843],"study_design_scores_gemma":[0.012428952,0.0042514964,0.00042976034,0.00046499612,0.000112854774,0.00033137106,0.00004760488,0.8497115,0.12890086,0.0005562399,0.0024116593,0.0003527038],"about_ca_topic_score_codex":0.0000032000742,"about_ca_topic_score_gemma":5.851494e-7,"teacher_disagreement_score":0.8557283,"about_ca_system_score_codex":0.000072715135,"about_ca_system_score_gemma":0.000035683366,"threshold_uncertainty_score":0.49355626},"labels":[],"label_agreement":null},{"id":"W2077963750","doi":"10.1093/cercor/bhu302","title":"Planning Ahead: Object-Directed Sequential Actions Decoded from Human Frontoparietal and Occipitotemporal Networks","year":2015,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Queen's University","funders":"Canadian Institutes of Health Research","keywords":"Object (grammar); Action (physics); Psychology; Task (project management); Neuroscience; Movement (music); Neural decoding; Brain activity and meditation; Computer science; Posterior parietal cortex; Communication; Artificial intelligence; Cognitive psychology; Decoding methods; Electroencephalography","score_opus":0.08441846397973853,"score_gpt":0.3067471181142914,"score_spread":0.22232865413455288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077963750","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931994,0.000067757835,0.0015890737,0.000109247325,0.001911237,0.00019940402,0.000038705686,0.00036957228,0.0025156185],"genre_scores_gemma":[0.99794614,0.000003327005,0.00018919469,0.00038368607,0.0005443595,0.000011239984,0.000119364784,0.000030210203,0.00077247893],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983941,0.0001383503,0.0002789729,0.00057951675,0.00024967815,0.00035939988],"domain_scores_gemma":[0.999217,0.00008630948,0.00013889596,0.00023993803,0.000043083193,0.00027481376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010103281,0.00022033759,0.00023696518,0.00007408958,0.0003847206,0.00020901172,0.00016384841,0.00013921758,0.00009578478],"category_scores_gemma":[0.00011420547,0.00021057682,0.000067997586,0.0001954036,0.00012478967,0.00039562833,0.00012721404,0.00034568715,0.000025039904],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009593628,0.00037610714,0.12088944,0.000024679608,0.000106021296,0.00038833244,0.002236315,0.003353529,0.82483345,0.0042152493,0.034635235,0.007982283],"study_design_scores_gemma":[0.0060035307,0.001120388,0.33083934,0.000108058965,0.00019395733,0.00022675954,0.00076764514,0.617896,0.021832958,0.011752745,0.0074065737,0.0018520539],"about_ca_topic_score_codex":0.00065047096,"about_ca_topic_score_gemma":0.00034027908,"teacher_disagreement_score":0.8030005,"about_ca_system_score_codex":0.000075994285,"about_ca_system_score_gemma":0.000051833274,"threshold_uncertainty_score":0.8587073},"labels":[],"label_agreement":null},{"id":"W2078039966","doi":"10.1016/j.conb.2011.05.016","title":"Efficient computation via sparse coding in electrosensory neural networks","year":2011,"lang":"en","type":"review","venue":"Current Opinion in Neurobiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":97,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; McGill University","funders":"Canadian Institutes of Health Research","keywords":"Neural coding; Computer science; Coding (social sciences); Sensory system; Decoding methods; Neuroscience; Encoding (memory); Biological neural network; Neural decoding; Artificial neural network; Artificial intelligence; Biology; Machine learning; Algorithm; Mathematics","score_opus":0.14954772480852382,"score_gpt":0.36337490586871085,"score_spread":0.21382718106018703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078039966","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015168971,0.96113986,0.0017650403,0.00002380741,0.03354746,0.0017816701,0.000031240153,0.00012623059,0.0000677989],"genre_scores_gemma":[0.00910437,0.9901005,0.0000056936433,0.000058244532,0.0003694296,0.00010830187,0.00018648719,0.000059315324,0.000007643658],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9955633,0.0013872837,0.0010481349,0.0011741073,0.00010575048,0.0007214086],"domain_scores_gemma":[0.99833393,0.0007094218,0.0005624428,0.00028858462,0.000023168659,0.00008243126],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027283796,0.00053975696,0.0011580733,0.0007239776,0.000082454215,0.000032750235,0.00039268224,0.0003379053,0.000015208102],"category_scores_gemma":[0.00017539813,0.0004814819,0.0002616588,0.0009419853,0.00014676132,0.000046053927,0.00019865354,0.0014808686,0.00004551424],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045619552,0.00035390127,0.00004637617,0.0029960817,0.000003967959,0.000014649385,0.000028475373,0.018792046,0.00015972744,0.001544311,0.00017678548,0.97583807],"study_design_scores_gemma":[0.0009383315,0.0004966828,0.00023479425,0.0056717573,0.000046252826,0.00047472923,0.0000018805304,0.655614,0.000008300395,0.00020659903,0.33509248,0.001214132],"about_ca_topic_score_codex":0.0000063620832,"about_ca_topic_score_gemma":0.0000038115513,"teacher_disagreement_score":0.9746239,"about_ca_system_score_codex":0.00016292366,"about_ca_system_score_gemma":0.000055644443,"threshold_uncertainty_score":0.99976367},"labels":[],"label_agreement":null},{"id":"W2078193231","doi":"10.1113/jphysiol.2002.016857","title":"Cortical sensory suppression during arousal is due to the activity‐dependent depression of thalamocortical synapses","year":2002,"lang":"en","type":"article","venue":"The Journal of Physiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":186,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"University of Michigan","keywords":"Neocortex; Sensory system; Neuroscience; Arousal; Brainstem; Thalamus; Reticular activating system; Tonic (physiology); Reticular connective tissue; Thalamic reticular nucleus; Reticular formation; Psychology; Stimulation; Biology; Anatomy","score_opus":0.031020496578074014,"score_gpt":0.26544404180119285,"score_spread":0.23442354522311884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078193231","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971094,0.000026125215,0.00011636104,0.0019950974,0.0005003093,0.00013749333,0.00000588972,0.000007590399,0.00010174389],"genre_scores_gemma":[0.99903643,0.000079895784,0.000010232929,0.00050334743,0.00022012508,0.0000017997007,7.475324e-8,0.000010634682,0.00013743684],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983381,0.0006235928,0.0003178476,0.00015854939,0.00032679673,0.00023513398],"domain_scores_gemma":[0.998438,0.00086732645,0.00028599,0.0002750405,0.0000551153,0.00007851219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023540069,0.000118371456,0.00025331273,0.000058054848,0.00021294864,0.000010743532,0.0003760875,0.0000645342,0.00018986518],"category_scores_gemma":[0.00045916528,0.000055128145,0.00010533427,0.00011976628,0.0001665521,0.00010116029,0.0001872207,0.0004833976,0.000024784349],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005030218,0.00013454507,0.000088897395,0.000010319236,0.000008801098,0.000023913784,0.00023418642,0.0006892101,0.99731684,0.000054679436,0.00024202056,0.00069354],"study_design_scores_gemma":[0.00031402498,0.00042488662,0.062026072,0.000034347224,0.000034612633,0.0008702014,0.00005127705,0.005906406,0.9297352,0.00049400097,0.00003551977,0.0000734666],"about_ca_topic_score_codex":0.000005632706,"about_ca_topic_score_gemma":0.0000016541173,"teacher_disagreement_score":0.06758168,"about_ca_system_score_codex":0.00002151762,"about_ca_system_score_gemma":0.000010191907,"threshold_uncertainty_score":0.22480606},"labels":[],"label_agreement":null},{"id":"W2079025781","doi":"10.1007/s10827-013-0442-z","title":"Bifurcations of large networks of two-dimensional integrate and fire neurons","year":2013,"lang":"en","type":"article","venue":"Journal of Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Theory of computation; Cognitive science; Computer science; Neuroscience; Statistical physics; Biology; Psychology; Physics; Algorithm","score_opus":0.019418366431519833,"score_gpt":0.2713257036505362,"score_spread":0.25190733721901637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079025781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98899746,0.000027023465,0.009168083,0.0010424516,0.00058231957,0.00011037043,0.000014345019,0.000006256689,0.000051690335],"genre_scores_gemma":[0.9979071,0.000019450154,0.0008838928,0.001101173,0.000040230407,0.0000013752145,8.31018e-7,0.00000728606,0.000038670794],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984779,0.00011804638,0.00054356793,0.00019197515,0.0005072282,0.00016130517],"domain_scores_gemma":[0.9981674,0.00061876874,0.00065156614,0.00009103819,0.00036666996,0.00010453797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023575356,0.00010350017,0.00019733673,0.00016933471,0.0001301669,0.000041185107,0.00024339864,0.000024253264,0.000029742192],"category_scores_gemma":[0.0005173062,0.000081702725,0.00007948028,0.00052709045,0.00037080192,0.0004899714,0.000083520084,0.00020643818,0.0000014847407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002263014,0.0002091762,0.0013839456,0.000011858983,0.0000019612146,0.000008167027,0.000041393436,0.5879201,0.39164147,0.016358264,0.00032556863,0.00207542],"study_design_scores_gemma":[0.0004245102,0.000350754,0.07380318,0.000035206624,0.000008448497,0.0002706206,0.000008151368,0.90939546,0.0040941355,0.0114852525,0.000046155656,0.00007814459],"about_ca_topic_score_codex":0.0000056474437,"about_ca_topic_score_gemma":5.065881e-7,"teacher_disagreement_score":0.38754734,"about_ca_system_score_codex":0.00001007356,"about_ca_system_score_gemma":0.00009917121,"threshold_uncertainty_score":0.33317405},"labels":[],"label_agreement":null},{"id":"W2079329521","doi":"10.1016/s0165-3806(99)00162-5","title":"Developmental profiles of SMI-32 immunoreactivity in monkey striate cortex","year":2000,"lang":"en","type":"article","venue":"Developmental Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Medical Research Council Canada","keywords":"Parvocellular cell; Biology; Striate cortex; Immunohistochemistry; Period (music); Cytoarchitecture; Neurofilament; Cortex (anatomy); Visual cortex; Laminar organization; Epitope; Cerebral cortex; Staining; Anatomy; Neuroscience; Antibody; Central nervous system; Immunology; Genetics","score_opus":0.08298900321955027,"score_gpt":0.3394604239112657,"score_spread":0.2564714206917154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079329521","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9724377,0.000012544841,0.000003275593,0.00042949867,0.00007142774,0.00070352055,0.0000428702,0.000043727698,0.026255436],"genre_scores_gemma":[0.9937085,0.00008014401,0.0005441259,0.00021941995,0.000020973504,0.000087005305,0.000027641372,0.0000305596,0.0052816328],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.996432,0.00049795373,0.00053033856,0.00068683247,0.001090445,0.00076239475],"domain_scores_gemma":[0.99864286,0.0009369907,0.000072118804,0.00015657838,0.00006463754,0.00012682297],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013264945,0.00022023376,0.0002825628,0.00047083493,0.00027790136,0.00007642995,0.0005021463,0.00011330864,0.0012920538],"category_scores_gemma":[0.0007221201,0.00020839831,0.000059977232,0.0014562083,0.0003918933,0.00037015518,0.00025710982,0.00060850225,0.00036340306],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034665503,0.00032241223,0.00855951,0.000031774212,0.000008129854,0.00007850799,0.00055653683,0.000009443631,0.90697557,0.0004352757,0.0007875241,0.081888676],"study_design_scores_gemma":[0.0017387929,0.00022191873,0.4247162,0.0001292508,0.0000015858164,0.00010604402,0.0008166482,0.0011441786,0.5597013,0.0013117724,0.009623353,0.00048893626],"about_ca_topic_score_codex":0.0004232153,"about_ca_topic_score_gemma":0.000112390095,"teacher_disagreement_score":0.41615668,"about_ca_system_score_codex":0.00051142724,"about_ca_system_score_gemma":0.00047433472,"threshold_uncertainty_score":0.9996209},"labels":[],"label_agreement":null},{"id":"W2079369992","doi":"10.1103/physreve.73.051911","title":"Model of low-pass filtering of local field potentials in brain tissue","year":2006,"lang":"en","type":"article","venue":"Physical Review E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":146,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Electric field; Local field potential; Polarization (electrochemistry); Physics; Attenuation; Voltage; Equivalent circuit; Low frequency; Biological system; Computational physics; Acoustics; Chemistry; Neuroscience; Optics; Biology; Quantum mechanics","score_opus":0.029369132413628648,"score_gpt":0.3123450780568163,"score_spread":0.2829759456431877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079369992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96851623,0.0005217583,0.026890622,0.0016454081,0.00008594564,0.0003504492,0.000019165627,0.000017386275,0.0019530155],"genre_scores_gemma":[0.9987661,0.00031716318,0.000055604785,0.0007197183,0.000031151467,0.00000750145,0.0000015162803,0.000006345576,0.00009486818],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992331,0.000053211254,0.00026805457,0.00017109331,0.00016009944,0.00011441683],"domain_scores_gemma":[0.99950826,0.00020719424,0.00010195241,0.000147119,0.000016129088,0.000019321571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000090084584,0.00007466481,0.0002844079,0.000024816454,0.000010512148,0.0000035648166,0.000105434774,0.000015962556,0.000014928807],"category_scores_gemma":[0.00018507762,0.00006202594,0.00008020449,0.00018062675,0.00003936906,0.000065478875,0.000048178485,0.00007554155,0.000006649907],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000055551363,0.00010737439,0.0000063447233,0.0007177405,4.458036e-7,0.0000019078386,0.0000033746026,0.002603619,0.97443205,0.008259756,0.00027220297,0.013589609],"study_design_scores_gemma":[0.00012502959,0.000107921354,0.00015244808,0.00095648464,0.000007891996,9.3561266e-7,8.255324e-7,0.17446478,0.8116817,0.012171765,0.00023715035,0.00009304787],"about_ca_topic_score_codex":0.00005356325,"about_ca_topic_score_gemma":0.0000097788015,"teacher_disagreement_score":0.17186117,"about_ca_system_score_codex":0.000008602778,"about_ca_system_score_gemma":0.000009687,"threshold_uncertainty_score":0.25293443},"labels":[],"label_agreement":null},{"id":"W2079377440","doi":"10.1088/1741-2560/6/3/036002","title":"Theta phase precession and phase selectivity: a cognitive device description of neural coding","year":2009,"lang":"en","type":"article","venue":"Journal of Neural Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Nonlinear system; Feed forward; Place cell; Neural coding; Physics; Phase response; Biological system; Control theory (sociology); Neuroscience; Hippocampal formation; Phase (matter); Artificial intelligence; Psychology; Quantum mechanics; Biology","score_opus":0.04198327037196365,"score_gpt":0.3075997238143665,"score_spread":0.26561645344240287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079377440","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942454,0.00009936101,0.0048617027,0.00024054668,0.0003692084,0.00011799558,0.0000060845496,0.000025042857,0.000034654015],"genre_scores_gemma":[0.99955237,0.00006727319,0.00008643957,0.00014651346,0.000116978736,7.910815e-7,7.299741e-7,0.000012343517,0.000016544811],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989704,0.0000602711,0.0003632742,0.0001652506,0.0002512779,0.00018954508],"domain_scores_gemma":[0.99921364,0.00022075136,0.00030937014,0.000057234316,0.00009555514,0.000103424216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018949651,0.00014968672,0.0002515536,0.00021092051,0.00007068138,0.000060153947,0.00009163879,0.000043574088,0.000004215627],"category_scores_gemma":[0.00051879586,0.00012199761,0.00008262001,0.0002997959,0.000022691785,0.0007886855,0.000021186348,0.0003280876,2.6416893e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028898902,0.00016344298,0.000043640477,0.000026118387,0.0000050476983,0.000047972197,0.00009937717,0.0023829755,0.9525406,0.000041598123,0.0000072771145,0.04435297],"study_design_scores_gemma":[0.0027732817,0.0020316895,0.0016919762,0.00019984353,0.000049979328,0.0008550039,0.000028876444,0.6837251,0.3083872,0.000077508565,0.000031940323,0.00014762903],"about_ca_topic_score_codex":0.0000014663185,"about_ca_topic_score_gemma":4.0216742e-7,"teacher_disagreement_score":0.6813421,"about_ca_system_score_codex":0.000029400537,"about_ca_system_score_gemma":0.00001539081,"threshold_uncertainty_score":0.4974918},"labels":[],"label_agreement":null},{"id":"W2079450009","doi":"10.1016/j.brainresrev.2007.07.021","title":"What's to lose and what's to learn: Development under auditory deprivation, cochlear implants and limits of cortical plasticity","year":2007,"lang":"en","type":"review","venue":"Brain Research Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":334,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Institute on Deafness and Other Communication Disorders","keywords":"Sensory system; Sensory deprivation; Psychology; Neuroscience; Auditory system; Neuroplasticity; Auditory cortex; Audiology; Medicine","score_opus":0.35245399229716257,"score_gpt":0.47040899474029546,"score_spread":0.1179550024431329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079450009","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0053128013,0.9877124,0.0005914287,0.0008589105,0.0007861789,0.0046258867,0.000014040862,0.000027307482,0.00007106548],"genre_scores_gemma":[0.00009408507,0.99680793,0.00039571713,0.001332241,0.0002210858,0.00019175802,0.000014648581,0.000055364508,0.0008871527],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99383265,0.0017745371,0.0012654457,0.0012081054,0.0011130853,0.00080616755],"domain_scores_gemma":[0.9930243,0.0053150547,0.00028040545,0.00046091372,0.0002174631,0.0007018507],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004745498,0.0004522903,0.0015574298,0.0007183038,0.00036594612,0.00076895964,0.0004977475,0.0002737233,0.000044049164],"category_scores_gemma":[0.011598942,0.00034730372,0.00013409738,0.0013091469,0.00028641886,0.00072669133,0.0006849651,0.0010110905,0.0003034596],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032760367,0.00006341932,0.0000027212036,0.006707761,0.00001175413,0.000024364737,0.000099253484,9.741321e-7,0.00079736346,0.00045959017,0.0048767584,0.9869233],"study_design_scores_gemma":[0.0001222473,0.00025459423,0.0005023365,0.016332464,0.000025102143,0.000066577915,0.0000606276,0.000011954577,0.00013494876,0.000049884515,0.982105,0.00033427367],"about_ca_topic_score_codex":0.0000059537347,"about_ca_topic_score_gemma":0.00004704159,"teacher_disagreement_score":0.986589,"about_ca_system_score_codex":0.00020124213,"about_ca_system_score_gemma":0.0003721539,"threshold_uncertainty_score":0.9998979},"labels":[],"label_agreement":null},{"id":"W2079563384","doi":"10.1016/j.cortex.2012.09.004","title":"Neural correlates of delayed visual–motor performance in children treated for brain tumours","year":2012,"lang":"en","type":"article","venue":"Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children","funders":"Pediatric Oncology Group of Ontario; Canadian Cancer Society; Comprehensive Cancer Center, City of Hope","keywords":"Magnetoencephalography; Cognition; Psychology; Neuroscience; Visual processing; Population; Audiology; Neural correlates of consciousness; Medicine; Electroencephalography","score_opus":0.014942365652286318,"score_gpt":0.25612526261899565,"score_spread":0.24118289696670933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079563384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989355,0.000031978398,0.00004312989,0.00005616395,0.0002896702,0.0004567531,0.000029538387,0.000038408634,0.00011885777],"genre_scores_gemma":[0.9991346,0.000013721947,0.000014856789,0.00024365257,0.00006232027,0.000028414324,0.000021201511,0.000018893465,0.0004623257],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991064,0.000032672368,0.00022408552,0.00021105183,0.00011191362,0.00031387157],"domain_scores_gemma":[0.99949425,0.00019049202,0.000110999696,0.00011720861,0.000021994776,0.000065050874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012983666,0.0001212613,0.00015788629,0.00010256299,0.000063282896,0.0000107898795,0.00011969597,0.00005256038,0.000017894305],"category_scores_gemma":[0.00017524541,0.00010541734,0.000062813764,0.00024082256,0.000056713918,0.00023068559,0.000030383007,0.000100640194,0.000011933686],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017460292,0.00013114056,0.6923538,0.000010406541,0.0000029684759,5.404433e-7,0.000043313597,0.00004574472,0.30352515,0.0002512972,0.0000955243,0.003365506],"study_design_scores_gemma":[0.0006030593,0.00043054917,0.89908415,0.0000111042455,0.0000098727005,0.000022514263,0.000006309938,0.07076476,0.028877653,0.000029790765,0.00003696386,0.00012327032],"about_ca_topic_score_codex":0.000016925358,"about_ca_topic_score_gemma":0.0000034543116,"teacher_disagreement_score":0.27464747,"about_ca_system_score_codex":0.000025440388,"about_ca_system_score_gemma":0.000010609641,"threshold_uncertainty_score":0.42987946},"labels":[],"label_agreement":null},{"id":"W2079600283","doi":"10.1523/jneurosci.4864-05.2006","title":"Higher-Dimensional Neurons Explain the Tuning and Dynamics of Working Memory Cells","year":2006,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":92,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Stimulus (psychology); Neuroscience; Population; ENCODE; Computer science; Working memory; Neuron; Somatosensory system; Psychology; Cognition; Cognitive psychology; Biology","score_opus":0.03786761113955861,"score_gpt":0.23926042154496127,"score_spread":0.20139281040540266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079600283","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948625,0.000037636528,0.0004561776,0.001988988,0.0020535586,0.0000772974,0.0000043374366,0.0000101617325,0.0005093707],"genre_scores_gemma":[0.99810505,0.000034120763,0.00012398319,0.0011484119,0.00011777468,5.805562e-7,1.2170835e-7,0.0000112316175,0.00045874377],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983448,0.0001627216,0.00043572555,0.00024199169,0.000582696,0.00023205936],"domain_scores_gemma":[0.99859565,0.00056327856,0.00054897903,0.00016508358,0.000056980047,0.00007001698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004240105,0.00012514749,0.00017589031,0.00013934648,0.00029171008,0.00008951434,0.00040192562,0.000031112795,0.000005004736],"category_scores_gemma":[0.00021738223,0.00008259493,0.00008155167,0.0004789306,0.00041094824,0.00029148522,0.00012829805,0.0003327668,6.999412e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023299594,0.000045093017,0.00035929595,0.0000046152777,3.4305393e-7,0.00006543721,0.000016307795,0.0044947206,0.991572,0.0022133954,0.00016618734,0.0010393062],"study_design_scores_gemma":[0.0017044992,0.0016877314,0.13339,0.00027396312,0.000077183875,0.0036095735,0.00013366003,0.43006465,0.41262543,0.008912274,0.0068138535,0.0007071841],"about_ca_topic_score_codex":0.0000084005305,"about_ca_topic_score_gemma":0.000005427266,"teacher_disagreement_score":0.57894653,"about_ca_system_score_codex":0.000026592726,"about_ca_system_score_gemma":0.00004797061,"threshold_uncertainty_score":0.33681238},"labels":[],"label_agreement":null},{"id":"W2079664242","doi":"10.1016/j.physbeh.2011.02.026","title":"Early onset of age-related changes on neural processing in rats","year":2011,"lang":"en","type":"article","venue":"Physiology & Behavior","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"AGE-WELL","keywords":"Psychology; Neuroscience; Sensory system; Thalamus; Somatosensory system; Hippocampus; Sensory processing; Cingulate cortex; Electroencephalography; Stimulation; Perception; Cognition; Audiology; Central nervous system; Medicine","score_opus":0.0702880189416539,"score_gpt":0.2847800183272214,"score_spread":0.21449199938556748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079664242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999157,0.000006353428,2.5251168e-7,0.00005379965,0.00029778117,0.00020395755,0.0000093161325,0.00003958561,0.00023195376],"genre_scores_gemma":[0.99948364,0.000005104161,0.000011372978,0.00025659532,0.000014783112,0.000048523903,0.0000049113505,0.000013763416,0.00016133027],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99910235,0.000102829305,0.00016830298,0.00031636967,0.0000847577,0.00022536072],"domain_scores_gemma":[0.9996489,0.00003402629,0.00011171007,0.00015580076,0.000016651626,0.000032905897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004959173,0.00011713723,0.00018311292,0.00011681164,0.000050936203,0.000005720872,0.00014993489,0.000079553276,0.00003940232],"category_scores_gemma":[0.000037372338,0.00009876225,0.000038106107,0.0002203117,0.00017249145,0.00006485124,0.00004136749,0.00019913481,0.000017497887],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008848003,0.00021994022,0.002779698,0.000005226426,4.5362268e-7,0.000051998453,0.00047937687,0.000003862211,0.9842973,0.00010895262,0.0000042509596,0.011960457],"study_design_scores_gemma":[0.00022469938,0.0004987894,0.80677027,0.000019221467,0.000010726211,0.0000093624,0.000017953409,0.00023014669,0.19172214,0.00038676924,0.000005633107,0.00010428155],"about_ca_topic_score_codex":0.00006812656,"about_ca_topic_score_gemma":0.00003720876,"teacher_disagreement_score":0.8039906,"about_ca_system_score_codex":0.00001294024,"about_ca_system_score_gemma":0.000012400394,"threshold_uncertainty_score":0.40274075},"labels":[],"label_agreement":null},{"id":"W2079716205","doi":"10.1111/j.0013-9580.2005.47304.x","title":"Kindling Limits the Interictal Neuronal Temporal Response Properties in Cat Primary Auditory Cortex","year":2005,"lang":"en","type":"article","venue":"Epilepsia","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Kindling; Ictal; Neuroscience; Auditory cortex; Stimulation; CATS; Psychology; Electroencephalography; Cortex (anatomy); Epilepsy; Electrophysiology; Audiology; Medicine; Internal medicine","score_opus":0.03244102568326857,"score_gpt":0.23942341820950203,"score_spread":0.20698239252623346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079716205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934799,0.000023902832,0.000022491166,0.004276145,0.0011484292,0.00024100466,0.000005219976,0.00007186459,0.0007310138],"genre_scores_gemma":[0.99396825,0.000018357077,0.000047877067,0.0036398612,0.00043384163,0.000027339289,0.00000252396,0.000022395534,0.0018395538],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99846286,0.0003487925,0.00026705276,0.0003638514,0.00027259442,0.00028487737],"domain_scores_gemma":[0.999321,0.00028059175,0.00009199968,0.00023786869,0.00001751207,0.000051046514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003400228,0.00015294446,0.00013397349,0.000092098446,0.00017103832,0.00007021183,0.00028929062,0.00005199347,0.000034482196],"category_scores_gemma":[0.00038783575,0.0001030584,0.00006208279,0.00021249999,0.00014161335,0.00027186595,0.00010130599,0.00028430586,0.000105681014],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084807834,0.00010295978,0.0018994993,0.000008490431,0.0000015081965,0.000040837134,0.00039947522,0.00028393525,0.9875396,0.00010886192,0.0016220052,0.0071447394],"study_design_scores_gemma":[0.0009001531,0.0005541857,0.83964145,0.00009423343,0.000009918822,0.00017986509,0.0001339545,0.05120369,0.038061783,0.00010398985,0.0686219,0.00049486983],"about_ca_topic_score_codex":0.000014221633,"about_ca_topic_score_gemma":0.000034993467,"teacher_disagreement_score":0.94947785,"about_ca_system_score_codex":0.00013709566,"about_ca_system_score_gemma":0.00008314709,"threshold_uncertainty_score":0.42025998},"labels":[],"label_agreement":null},{"id":"W2079914348","doi":"10.1152/jn.01106.2006","title":"Evaluating Information Transfer Between Auditory Cortical Neurons","year":2007,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":215,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Transfer entropy; Information transfer; Stimulus (psychology); Auditory cortex; Computer science; Entropy (arrow of time); Neuroscience; Neuron; Principle of maximum entropy; Speech recognition; Artificial intelligence; Psychology; Physics; Cognitive psychology","score_opus":0.06038054557829039,"score_gpt":0.3264930879426661,"score_spread":0.26611254236437576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079914348","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929538,0.000001017309,0.00445577,0.00030501018,0.0019528804,0.00007600211,0.0000037580483,0.000017350894,0.00023444445],"genre_scores_gemma":[0.9974256,0.000013358118,0.000081659884,0.0016492952,0.0008020995,4.207727e-7,0.0000010241191,0.000009764982,0.000016749313],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984396,0.00024172231,0.00063005945,0.000121225596,0.0003177793,0.000249603],"domain_scores_gemma":[0.99850684,0.00094963267,0.0002040528,0.00011193996,0.00011534616,0.000112185364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022901887,0.00010760873,0.00021412745,0.00017921958,0.00012717028,0.000023412967,0.00019834224,0.000064991815,0.000023429911],"category_scores_gemma":[0.0011648249,0.00008554713,0.00012189143,0.00019630951,0.00009869728,0.00045710377,0.00003014914,0.0005624538,0.0000408331],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016118403,0.000025778289,0.000058643178,0.00000669642,0.000003181163,0.00004272282,0.000040421703,0.00076764973,0.9861473,0.00030738156,0.000042550226,0.012396514],"study_design_scores_gemma":[0.0020510026,0.008229889,0.86723757,0.00003033958,0.00010679293,0.0008211604,0.000045866433,0.008771448,0.101235606,0.0017004879,0.009384711,0.0003851376],"about_ca_topic_score_codex":8.0015195e-7,"about_ca_topic_score_gemma":1.3385385e-7,"teacher_disagreement_score":0.88491166,"about_ca_system_score_codex":0.000025432457,"about_ca_system_score_gemma":0.000044423792,"threshold_uncertainty_score":0.34885105},"labels":[],"label_agreement":null},{"id":"W2080040641","doi":"10.1523/jneurosci.3153-10.2011","title":"Variability of Brain Signals Processed Locally Transforms into Higher Connectivity with Brain Development","year":2011,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":178,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Université de Montréal; Baycrest Hospital","funders":"James S. McDonnell Foundation","keywords":"Human brain; Brain development; Neuroscience; Brain activity and meditation; Scalp; Alpha (finance); Electroencephalography; Synchronization (alternating current); Repertoire; Perspective (graphical); Psychology; Biology; Computer science; Developmental psychology; Artificial intelligence; Physics; Anatomy; Telecommunications","score_opus":0.04188199373296626,"score_gpt":0.25539037293246714,"score_spread":0.2135083791995009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080040641","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95847654,0.0000032684322,0.038988847,0.0013080327,0.0004263182,0.00022016134,0.0000021026863,0.000019218389,0.0005554974],"genre_scores_gemma":[0.9965983,0.0000041156654,0.0010019375,0.0022184392,0.000026264444,0.0000041497524,8.521768e-8,0.000013968276,0.00013274375],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976184,0.00022656619,0.0006413324,0.0004143487,0.0007997443,0.00029961724],"domain_scores_gemma":[0.9981968,0.0005490395,0.0006259623,0.0002003514,0.0002476244,0.00018024401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014218566,0.00019221632,0.00032719845,0.00016930209,0.00017117082,0.000054506323,0.00058410584,0.000055118573,0.00003445019],"category_scores_gemma":[0.001473723,0.00012567126,0.0000818093,0.00082257786,0.00044567118,0.0009824082,0.000048069614,0.00030361567,0.0000013132353],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035291776,0.00038030706,0.0016281051,0.00005965726,0.0000022412057,0.000054640193,0.0006630515,0.00014695234,0.99323136,0.0007166136,0.00003279149,0.0027313943],"study_design_scores_gemma":[0.0010304743,0.0028189812,0.11148648,0.00010956121,0.00001398357,0.00030475223,0.000043238506,0.0015514767,0.8768576,0.0041202833,0.0013505549,0.00031261126],"about_ca_topic_score_codex":0.000008487954,"about_ca_topic_score_gemma":0.0000096730155,"teacher_disagreement_score":0.116373725,"about_ca_system_score_codex":0.000057745914,"about_ca_system_score_gemma":0.00043930378,"threshold_uncertainty_score":0.5124725},"labels":[],"label_agreement":null},{"id":"W2080174480","doi":"10.1037/a0016922","title":"Intertrial unconditioned stimuli preferentially interfere with delay conditioning.","year":2010,"lang":"en","type":"article","venue":"Journal of Experimental Psychology Animal Behavior Processes","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; University of Calgary; University of Winnipeg","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Unconditioned stimulus; Psychology; Conditioning; Stimulus (psychology); Audiology; Classical conditioning; Conditioned response; Developmental psychology; Cognitive psychology; Statistics; Mathematics; Medicine","score_opus":0.04757396508874593,"score_gpt":0.36041487599899014,"score_spread":0.3128409109102442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080174480","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966374,0.000037858066,0.00028362483,0.00019788436,0.0016910315,0.00021264829,0.00002270647,0.00003594325,0.0008808814],"genre_scores_gemma":[0.9986298,0.000009659119,0.0003815204,0.00053589174,0.00030662422,0.000030864063,0.000008572427,0.000027537926,0.00006952584],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99857473,0.00007169189,0.00049359235,0.0003384271,0.00028936673,0.00023221801],"domain_scores_gemma":[0.998871,0.00010623185,0.0005175297,0.00014457764,0.00023004574,0.00013057396],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00011667143,0.0002170618,0.0002654581,0.0001864825,0.00018048215,0.000103815444,0.0003504322,0.00014074787,0.0011369842],"category_scores_gemma":[0.00016102116,0.0001622035,0.00008735919,0.0002182716,0.00032038815,0.00067510694,0.00004527624,0.00068078307,0.00002321651],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00343389,0.0009628739,0.0013327473,0.000008751647,0.000013758223,0.00015998482,0.00015584257,0.0000016001288,0.9929673,0.0002974626,0.00041148992,0.0002542697],"study_design_scores_gemma":[0.0027492351,0.00700295,0.007393914,0.00004799793,0.00006736469,0.0028802308,0.00018686181,0.0000073035535,0.9788717,0.00014408925,0.00041108797,0.0002372602],"about_ca_topic_score_codex":0.0000019825416,"about_ca_topic_score_gemma":0.00001463335,"teacher_disagreement_score":0.014095625,"about_ca_system_score_codex":0.000027258035,"about_ca_system_score_gemma":0.00010310765,"threshold_uncertainty_score":0.9997761},"labels":[],"label_agreement":null},{"id":"W2080455796","doi":"10.1167/10.7.858","title":"Visual and Auditory deterministic signals can facilitate tactile sensations","year":2010,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Stochastic resonance; SIGNAL (programming language); Excitatory postsynaptic potential; Computer science; Sensation; Noise (video); Speech recognition; Neuroscience; Communication; Acoustics; Computer vision; Physics; Psychology; Inhibitory postsynaptic potential","score_opus":0.023462859761760855,"score_gpt":0.29894755903296916,"score_spread":0.2754846992712083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080455796","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974595,0.0000036500862,0.00020753597,0.0005636171,0.0015665557,0.000046128094,0.000008899921,0.000007857753,0.0001362562],"genre_scores_gemma":[0.9991351,0.00001834123,0.00010503512,0.00021182674,0.00026199067,4.1194048e-7,3.344038e-7,0.0000062612935,0.0002607434],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99927187,0.00005779112,0.00023230768,0.000112050744,0.00022471484,0.00010124795],"domain_scores_gemma":[0.9992168,0.00033884967,0.00021014658,0.00006556495,0.00006774035,0.000100879115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020107585,0.000069327456,0.000106036765,0.00010391321,0.00013937503,0.00006328106,0.000064824795,0.000041461975,0.000046871788],"category_scores_gemma":[0.00058726023,0.000052544456,0.000046827354,0.00007274195,0.000053985896,0.00018678069,0.000024578687,0.00027584747,0.0000079474585],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024578567,0.000034194203,0.00007755893,0.000004624762,0.0000012338377,0.000034360266,0.00006520138,0.000036596066,0.98918563,0.000034787354,0.00048947876,0.010011745],"study_design_scores_gemma":[0.004118172,0.009202183,0.29378316,0.0002924997,0.00016806212,0.0055989586,0.00042287694,0.17962149,0.41899008,0.011856352,0.07476232,0.0011838328],"about_ca_topic_score_codex":0.0000035179664,"about_ca_topic_score_gemma":0.000010235053,"teacher_disagreement_score":0.57019556,"about_ca_system_score_codex":0.000012961094,"about_ca_system_score_gemma":0.000037282214,"threshold_uncertainty_score":0.21427007},"labels":[],"label_agreement":null},{"id":"W2080970352","doi":"10.1111/j.1600-0420.2007.01063_3246.x","title":"Optimal stimulus size maps in the primary visual cortex revealed by optical imaging in cats","year":2007,"lang":"en","type":"article","venue":"Acta Ophthalmologica Scandinavica","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Visual cortex; Stimulus (psychology); Stimulation; Optical imaging; Visual field; Optics; Medicine; Facilitation; Neuroscience; Physics; Biophysics; Biology; Psychology","score_opus":0.019044759517765842,"score_gpt":0.2923217664808248,"score_spread":0.27327700696305895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080970352","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9804058,0.000052956842,0.000025941219,0.0017234832,0.00024837858,0.0005546627,0.00001856066,0.000050655282,0.01691956],"genre_scores_gemma":[0.99717265,0.000029558358,0.0002701416,0.001955903,0.000063401414,0.000035733363,0.000022340932,0.000023054788,0.00042723265],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9970639,0.00028121896,0.0005277688,0.0007860153,0.00048954994,0.0008515797],"domain_scores_gemma":[0.997109,0.002257842,0.00014010235,0.0003427917,0.000023587401,0.00012667463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011769794,0.0002971671,0.000334097,0.00013823189,0.00019150901,0.000115263516,0.0006479615,0.00014629967,0.000113126385],"category_scores_gemma":[0.0009752566,0.00020898799,0.00008985638,0.00081130967,0.00027767505,0.00024310041,0.0001970818,0.00064670446,0.000025155463],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011011127,0.0013665549,0.12582165,0.000037682614,0.0000037319282,0.007923785,0.00026104072,0.000074332565,0.8564791,0.00042290962,0.0019605102,0.004547604],"study_design_scores_gemma":[0.001365199,0.00066256034,0.98858887,0.000046620225,0.000011552858,0.002819554,0.00018621243,0.0018233829,0.0026790372,0.0006827276,0.00065372617,0.00048058244],"about_ca_topic_score_codex":0.00008433564,"about_ca_topic_score_gemma":0.0000061025135,"teacher_disagreement_score":0.8627672,"about_ca_system_score_codex":0.00021079408,"about_ca_system_score_gemma":0.00003800235,"threshold_uncertainty_score":0.8522283},"labels":[],"label_agreement":null},{"id":"W2080985643","doi":"10.1016/s0378-5955(01)00259-3","title":"Between sound and perception: reviewing the search for a neural code","year":2001,"lang":"en","type":"review","venue":"Hearing Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":276,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Auditory cortex; Perception; Neural coding; Sound (geography); Coding (social sciences); Auditory system; Auditory perception; Sound localization; Acoustics; Representation (politics); Computer science; Speech recognition; Neuroscience; Psychology; Physics; Mathematics","score_opus":0.6233075203461237,"score_gpt":0.5147882164460672,"score_spread":0.10851930390005649,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080985643","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002276835,0.9920278,0.00012130343,0.00097091816,0.00027756116,0.003455506,0.00006984306,0.00006892593,0.00073128147],"genre_scores_gemma":[0.0016875139,0.9947682,0.00003227606,0.000084264575,0.0008692673,0.00022001886,0.000020403799,0.00007361938,0.0022444348],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99572915,0.0012701682,0.000445794,0.0008866148,0.000817598,0.0008506496],"domain_scores_gemma":[0.994089,0.004986704,0.00007452228,0.0005698518,0.00012225707,0.00015766615],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0038496403,0.00027498213,0.0007820451,0.00028783505,0.0013991123,0.00057193235,0.0005889034,0.00019523037,0.000037311773],"category_scores_gemma":[0.0010614132,0.00017368648,0.00027677065,0.0010195255,0.00037177297,0.00013383542,0.00054540567,0.0017033847,0.00008091955],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000056684544,0.00000999449,0.000044728655,0.0069206003,0.000007511866,0.000009419853,0.000052194184,0.0000013870057,0.000059490358,0.0003581823,0.0002975461,0.9922333],"study_design_scores_gemma":[0.000103108665,0.00014036882,0.00008925038,0.0026145063,0.000060270344,0.00016279545,0.000026242658,0.0009090555,0.0000040286754,0.00031207936,0.9953673,0.00021100213],"about_ca_topic_score_codex":0.000041112384,"about_ca_topic_score_gemma":0.000006531075,"teacher_disagreement_score":0.99506974,"about_ca_system_score_codex":0.00017297186,"about_ca_system_score_gemma":0.00011273892,"threshold_uncertainty_score":0.99990094},"labels":[],"label_agreement":null},{"id":"W2081052410","doi":"10.1523/jneurosci.5049-09.2010","title":"Large-Scale Microelectrode Recordings of High-Frequency Gamma Oscillations in Human Cortex during Sleep","year":2010,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":191,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Institute of Neurological Disorders and Stroke; National Institutes of Health","keywords":"Neuroscience; Wakefulness; Slow-wave sleep; Electroencephalography; Memory consolidation; Sleep (system call); Hippocampal formation; Electrophysiology; Epilepsy; Millisecond; Physics; Hippocampus; Biology; Computer science","score_opus":0.012988211436812502,"score_gpt":0.2506052972795618,"score_spread":0.23761708584274932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081052410","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971625,0.0000040263967,0.00030015365,0.0004567327,0.0016916817,0.00010761583,0.000009802406,0.000014122393,0.00025332344],"genre_scores_gemma":[0.9991402,0.000028166492,0.00027793183,0.0002622256,0.00010652966,0.0000013730493,2.2261789e-7,0.000014513427,0.00016883717],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99805623,0.00007975622,0.00065974006,0.0003462734,0.00047578604,0.00038221208],"domain_scores_gemma":[0.99875313,0.00010770976,0.0006541525,0.00024555434,0.0001177145,0.00012173395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042414403,0.0001394783,0.0002579297,0.00043144627,0.00025228312,0.00006782588,0.0005577821,0.00006026446,0.000025806437],"category_scores_gemma":[0.0007896957,0.00012357063,0.00010884846,0.00096583157,0.00020439326,0.0006327234,0.000079850026,0.00067758985,0.0000020416064],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000192904,0.000117406606,0.007746092,0.000008823295,3.4775948e-7,0.00004881633,0.00008202337,0.00012085597,0.99069995,0.0010271004,0.000012286545,0.00011700497],"study_design_scores_gemma":[0.00066462206,0.0003669394,0.41644493,0.000030228804,0.000007197486,0.00065500144,0.000020061165,0.0019472666,0.5772413,0.0023036809,0.00015827878,0.00016050968],"about_ca_topic_score_codex":0.000023005121,"about_ca_topic_score_gemma":0.0001201149,"teacher_disagreement_score":0.41345868,"about_ca_system_score_codex":0.000041071635,"about_ca_system_score_gemma":0.00006109235,"threshold_uncertainty_score":0.5039064},"labels":[],"label_agreement":null},{"id":"W2081409212","doi":"10.1167/10.7.1294","title":"Neural basis of object memory during visual search","year":2010,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Gaze; Fixation (population genetics); Visual search; Superior colliculus; Stimulus (psychology); Eye movement; Psychology; Computer science; Communication; Artificial intelligence; Neuroscience; Cognitive psychology; Population; Medicine","score_opus":0.018698724673666345,"score_gpt":0.3116672401489118,"score_spread":0.29296851547524544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081409212","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99812996,0.000007673173,0.00002444694,0.00035269232,0.0011604507,0.000048425387,0.0000015368367,0.000007004562,0.0002677866],"genre_scores_gemma":[0.99941295,0.000023123179,0.000094189374,0.000079998,0.00022643899,1.7022042e-7,1.2977287e-7,0.000010151412,0.00015286791],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988398,0.00008224697,0.00032818076,0.0001200913,0.00048609875,0.00014361044],"domain_scores_gemma":[0.9993021,0.00016405397,0.00023756159,0.000105962004,0.000108065185,0.00008226294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037387924,0.00007497055,0.00015406233,0.00020232878,0.00009026841,0.00003420186,0.00017530116,0.00004882305,0.00009241994],"category_scores_gemma":[0.0003685025,0.000054796186,0.0001268279,0.00020843389,0.000057629008,0.0003062564,0.000063401836,0.00046526664,0.000006338561],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014494066,0.00007999507,0.00052113726,0.000015986672,0.0000017704493,0.00004196462,0.000049234095,0.0001506459,0.9895019,0.000029758301,0.000042634387,0.009420057],"study_design_scores_gemma":[0.00050365465,0.000642431,0.0874492,0.000032099815,0.0000074318814,0.00038409018,0.00003192454,0.0102555845,0.9005104,0.00006428545,0.000052436695,0.000066472996],"about_ca_topic_score_codex":0.000005153089,"about_ca_topic_score_gemma":0.0000029393907,"teacher_disagreement_score":0.088991486,"about_ca_system_score_codex":0.0000150741,"about_ca_system_score_gemma":0.00003152561,"threshold_uncertainty_score":0.22345236},"labels":[],"label_agreement":null},{"id":"W2081524353","doi":"10.1523/jneurosci.3203-12.2012","title":"Selective Neuronal Entrainment to the Beat and Meter Embedded in a Musical Rhythm","year":2012,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":344,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; International Laboratory for Brain, Music and Sound Research","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Fonds De La Recherche Scientifique - FNRS","keywords":"Rhythm; Beat (acoustics); Entrainment (biomusicology); Perception; Acoustics; Electroencephalography; Psychology; Communication; Physics; Audiology; Neuroscience; Medicine","score_opus":0.03281202840384447,"score_gpt":0.2742280754222472,"score_spread":0.24141604701840272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081524353","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99405444,0.000010696255,0.00052598247,0.0037418164,0.0013523567,0.00015942573,0.0000019794404,0.0000053239864,0.00014799692],"genre_scores_gemma":[0.98943985,0.0000244455,0.00008915404,0.010184267,0.00019418956,0.0000037752181,2.3365413e-8,0.000007393394,0.000056888835],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984115,0.00019825122,0.00027734897,0.00022643615,0.0005164955,0.00037001897],"domain_scores_gemma":[0.99922,0.00027819967,0.0001447119,0.00011724648,0.000029947358,0.00020990614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054075726,0.00011225348,0.00014228963,0.00014392594,0.00013543942,0.00008678465,0.0002511145,0.00002240627,0.0000057837606],"category_scores_gemma":[0.0010990576,0.000068620655,0.00005367069,0.00056454085,0.00012682207,0.00048181025,0.00011753205,0.00033455153,0.0000056306676],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056119672,0.00010331253,0.0009273012,0.0000022253396,4.1657955e-7,0.000032930395,0.00062107365,0.0001583582,0.9948355,0.0004040408,0.00022294698,0.0026357851],"study_design_scores_gemma":[0.0010817442,0.0021320602,0.8287303,0.000050090333,0.000022817287,0.0053615607,0.00015860835,0.012513291,0.12924944,0.0005897958,0.019703018,0.00040731486],"about_ca_topic_score_codex":0.0000017059713,"about_ca_topic_score_gemma":0.0000029164728,"teacher_disagreement_score":0.86558604,"about_ca_system_score_codex":0.000045109235,"about_ca_system_score_gemma":0.000032654054,"threshold_uncertainty_score":0.2798269},"labels":[],"label_agreement":null},{"id":"W2081548183","doi":"10.1073/pnas.98.4.1924","title":"Disfacilitation and active inhibition in the neocortex during the natural sleep-wake cycle: An intracellular study","year":2001,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":446,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Inhibitory postsynaptic potential; Neuroscience; Postsynaptic potential; Neocortex; Wakefulness; Bursting; Electrophysiology; Sleep (system call); Intracellular; Excitatory postsynaptic potential; Extracellular; Biology; Psychology; Chemistry; Electroencephalography; Receptor","score_opus":0.02900642419347772,"score_gpt":0.28659982913667403,"score_spread":0.2575934049431963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081548183","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953171,0.000013895266,4.0636584e-7,0.0037174057,0.00002748547,0.00044918864,0.0000048890042,0.0000073458787,0.0004622734],"genre_scores_gemma":[0.99957734,0.000015063252,0.000014318621,0.00030282832,0.0000421262,0.000019871026,1.0638491e-7,0.000002325426,0.00002600495],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984157,0.000039896964,0.00023477021,0.00026916593,0.0009162866,0.00012417343],"domain_scores_gemma":[0.9994126,0.00024629358,0.00023971296,0.000011745034,0.00007484673,0.000014820102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012553721,0.0000815144,0.00007824603,0.00010971326,0.00044364296,0.00006734758,0.00034692,0.000032510918,0.0000024823264],"category_scores_gemma":[0.0006185516,0.000039983468,0.000027826376,0.0009310596,0.0005552263,0.000952813,0.00008008667,0.00024971078,3.313401e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005444621,0.000120116405,0.007494308,0.0000126714185,0.000002051751,7.8740946e-8,0.003102056,0.00025968192,0.97411346,0.012934757,0.000004974729,0.0019013796],"study_design_scores_gemma":[0.00032389027,0.00013469171,0.8288178,0.000023730778,0.0000074846384,0.00004505648,0.0057844436,0.01644523,0.11807473,0.03024279,0.000015801274,0.000084354935],"about_ca_topic_score_codex":0.0000150004735,"about_ca_topic_score_gemma":0.0000017884261,"teacher_disagreement_score":0.85603875,"about_ca_system_score_codex":0.000028596658,"about_ca_system_score_gemma":0.000007702314,"threshold_uncertainty_score":0.3412188},"labels":[],"label_agreement":null},{"id":"W2082159103","doi":"10.3389/fncom.2012.00082","title":"A model of food reward learning with dynamic reward exposure","year":2012,"lang":"en","type":"article","venue":"Frontiers in Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; McGill University; Montreal Neurological Institute and Hospital","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Child Health and Human Development","keywords":"Reward system; Psychology; Cognitive psychology; Neuroscience; Computer science","score_opus":0.029669939781906816,"score_gpt":0.24177972029732173,"score_spread":0.2121097805154149,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082159103","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.726992,0.00002846969,0.27163628,0.00020750995,0.00072678697,0.00016405697,0.00001437017,0.000045464996,0.0001850719],"genre_scores_gemma":[0.9849237,0.000013847653,0.014343894,0.00049544143,0.000017734565,0.000012363717,0.000003320925,0.00001857451,0.00017107418],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981356,0.00012629942,0.0002786883,0.0004484845,0.0006113717,0.0003995217],"domain_scores_gemma":[0.99937975,0.0001349232,0.0001831045,0.00014668671,0.00004962342,0.000105901905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025174717,0.00015893394,0.00019417008,0.00025923408,0.00016131517,0.000035681493,0.0003011829,0.000044267665,0.0000016370788],"category_scores_gemma":[0.00034776915,0.00014118111,0.00004713975,0.00082322536,0.00028839568,0.0005670529,0.00007929185,0.00027772985,0.0000017709626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000070992966,0.00011712601,0.029016646,0.000018836006,9.633621e-7,0.0000032518983,0.00019169952,0.9143977,0.05260679,0.0024755786,0.000072804134,0.0010276164],"study_design_scores_gemma":[0.00036827323,0.0004079036,0.016281506,0.000023913179,0.000004150899,0.00003058524,0.00004055304,0.97629976,0.001506334,0.0047772173,0.00008102334,0.00017876139],"about_ca_topic_score_codex":0.0000014659375,"about_ca_topic_score_gemma":0.000001417688,"teacher_disagreement_score":0.25793174,"about_ca_system_score_codex":0.000060493046,"about_ca_system_score_gemma":0.00008396875,"threshold_uncertainty_score":0.57571983},"labels":[],"label_agreement":null},{"id":"W2082241795","doi":"10.1016/j.expneurol.2012.09.014","title":"The ups and downs of beta oscillations in sensorimotor cortex","year":2012,"lang":"en","type":"review","venue":"Experimental Neurology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":808,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"AXA Research Fund; Agence Nationale de la Recherche","keywords":"BETA (programming language); Neuroscience; Anticipation (artificial intelligence); Beta Rhythm; Somatosensory system; Psychology; Sensorimotor cortex; Rhythm; Electroencephalography; Cognitive psychology; Physics; Computer science; Artificial intelligence","score_opus":0.06147657926692933,"score_gpt":0.3290888580495295,"score_spread":0.26761227878260013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082241795","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017313445,0.97941375,8.020175e-7,0.00012389588,0.0014660197,0.0007005044,0.000041368334,0.000022414053,0.0009177898],"genre_scores_gemma":[0.04427016,0.9551194,0.0000047294902,0.00021453496,0.00010975383,0.00006316107,0.000007828867,0.000031457752,0.00017899676],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99836826,0.00039290986,0.00042310165,0.00039759747,0.00012988706,0.0002882344],"domain_scores_gemma":[0.9986767,0.00072888844,0.00024944267,0.0002783008,0.0000069779994,0.000059690687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011017028,0.00022876091,0.00054641603,0.00011267839,0.00013817044,0.000020645102,0.00019743494,0.00016000067,0.000026278096],"category_scores_gemma":[0.000050175022,0.00015374161,0.00012160758,0.00020373656,0.00030264593,0.000063566054,0.000178192,0.00033266816,0.000021380527],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023709027,0.0009023938,0.00048612177,0.0019083325,0.00005933409,0.000200051,0.00046696106,0.000005181001,0.11570841,0.041232325,0.0004669141,0.8383269],"study_design_scores_gemma":[0.00018135713,0.00030210454,0.00030736372,0.00006232645,0.000027538554,0.00036057853,0.000007106071,0.00006415745,0.00059922173,0.00004142962,0.9978624,0.00018440545],"about_ca_topic_score_codex":0.000014539771,"about_ca_topic_score_gemma":0.000007319464,"teacher_disagreement_score":0.9973955,"about_ca_system_score_codex":0.00001951935,"about_ca_system_score_gemma":0.000026386339,"threshold_uncertainty_score":0.62694013},"labels":[],"label_agreement":null},{"id":"W2082330794","doi":"10.1016/j.brs.2015.01.175","title":"Gamma-band connectivity is reduced in schizophrenia following prefrontal TMS and during working memory","year":2015,"lang":"en","type":"article","venue":"Brain stimulation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Schizophrenia (object-oriented programming); Prefrontal cortex; Working memory; Neuroscience; Psychology; Psychiatry; Cognition","score_opus":0.04374122508475585,"score_gpt":0.27266774641484337,"score_spread":0.2289265213300875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082330794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99778664,0.000030861826,0.00018866333,0.00039367197,0.00048045698,0.00030454958,0.000002323258,0.00007376415,0.0007390431],"genre_scores_gemma":[0.99929917,0.0000016033938,0.00010636265,0.00020535612,0.000102660466,0.000009684108,0.000003749502,0.000018387425,0.00025301115],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998765,0.00013321948,0.0002017651,0.00044044046,0.00024374007,0.00021583786],"domain_scores_gemma":[0.99940103,0.0002696655,0.000082688035,0.00014353904,0.000014509363,0.00008856011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003206321,0.00013681737,0.00015370529,0.00014160364,0.00014035273,0.000090042704,0.000066234716,0.00007486798,0.0000059420204],"category_scores_gemma":[0.00076863595,0.00014020703,0.000041262814,0.00026540272,0.000032365475,0.00040696553,0.000050222032,0.00015210883,0.0000061417486],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036553812,0.000035442237,0.009482974,0.000011763656,0.000003241894,0.000027085074,0.00078076083,0.0040004333,0.976624,0.000111604255,0.000038138933,0.008519016],"study_design_scores_gemma":[0.007004542,0.00016832199,0.6119747,0.00016493282,0.000017003185,0.000049941194,0.00014729434,0.2315478,0.14434929,0.0039366228,0.000093843606,0.0005456964],"about_ca_topic_score_codex":0.000053336626,"about_ca_topic_score_gemma":0.00005361852,"teacher_disagreement_score":0.83227473,"about_ca_system_score_codex":0.000109729284,"about_ca_system_score_gemma":0.000029207198,"threshold_uncertainty_score":0.5717477},"labels":[],"label_agreement":null},{"id":"W2082379540","doi":"10.1016/j.ics.2007.01.043","title":"Auditory cortical development charted by transient and 40-Hz steady-state responses in typical children and in Down syndrome","year":2007,"lang":"en","type":"article","venue":"International Congress Series","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; McMaster University; Down Syndrome Research Foundation","funders":"","keywords":"Audiology; Amplitude; Coherence (philosophical gambling strategy); Steady state (chemistry); Latency (audio); Peripheral; Psychology; Medicine; Physics; Chemistry; Internal medicine; Optics","score_opus":0.013031345653672914,"score_gpt":0.25211845222646967,"score_spread":0.23908710657279675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082379540","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980829,0.00003472201,0.000042790423,0.00087075855,0.00066941656,0.00014507867,0.000046920308,0.000021141544,0.00008631713],"genre_scores_gemma":[0.99883616,0.000060745555,0.00003986547,0.00023219912,0.000021516704,0.000009309064,0.000013925943,0.0000077543455,0.00077849755],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989616,0.00006489767,0.0002648775,0.00029015768,0.00023362442,0.00018479256],"domain_scores_gemma":[0.9995973,0.00021940404,0.000043065975,0.0000545307,0.00002436466,0.00006132711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023624225,0.00010681477,0.00012320779,0.00015802674,0.0000548879,0.000063178006,0.00009482454,0.000044236764,0.000025560357],"category_scores_gemma":[0.00019732962,0.00009900403,0.000011003368,0.00008895738,0.00018631297,0.00023244295,0.0000531965,0.00017740527,0.0000039548004],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.020572837,0.0008145825,0.39232633,0.00006529643,0.000073289935,0.0018072309,0.003230551,0.00009444132,0.55623585,0.00558295,0.001673921,0.01752274],"study_design_scores_gemma":[0.00067116437,0.00008005904,0.9865863,0.000038906604,0.0000014413299,0.00022729406,0.000033536966,0.0003143026,0.0096837655,0.00013079992,0.002102937,0.00012950074],"about_ca_topic_score_codex":0.000014682991,"about_ca_topic_score_gemma":0.00027557762,"teacher_disagreement_score":0.59426,"about_ca_system_score_codex":0.000053927673,"about_ca_system_score_gemma":0.000023984718,"threshold_uncertainty_score":0.4037267},"labels":[],"label_agreement":null},{"id":"W2082382877","doi":"10.1016/j.neuropsychologia.2010.12.016","title":"Visuo-perceptual organization and working memory in patients with schizophrenia","year":2010,"lang":"en","type":"article","venue":"Neuropsychologia","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hôpital Louis-H Lafontaine; Université de Montréal","funders":"National Institutes of Health; Institut National de la Santé et de la Recherche Médicale; National Institute for Health and Care Research","keywords":"Memorization; Psychology; Task (project management); Perception; Cognitive psychology; Working memory; Schizophrenia (object-oriented programming); Focalization; Communication; Cognition; Neuroscience; Linguistics","score_opus":0.010045756194826446,"score_gpt":0.21563855698438042,"score_spread":0.20559280078955397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082382877","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99781096,6.7674324e-7,0.00002266089,0.00011097195,0.00074979244,0.00018005222,0.0000018343898,0.00008437324,0.0010386589],"genre_scores_gemma":[0.99866444,0.0000039276892,0.00013360145,0.001048765,0.00005323846,0.0000028490533,0.0000043335867,0.000025774138,0.00006309526],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990149,0.00006411077,0.00012955512,0.00045071446,0.00015926428,0.00018145434],"domain_scores_gemma":[0.99958926,0.00007047832,0.000058675952,0.00020107794,0.000029769255,0.000050734285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000059839855,0.00012229495,0.00009245502,0.00010468204,0.00009733647,0.00006603603,0.00012981918,0.00006986857,0.00006708119],"category_scores_gemma":[0.00032359752,0.000096064876,0.0000086551145,0.00052275776,0.00010845961,0.00014157561,0.0000479568,0.0004009938,0.000029470648],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023347109,0.00017323821,0.4072799,0.0000033674967,8.534002e-7,0.000025174606,0.00009168618,0.000013183885,0.565511,0.00069999276,0.00007168552,0.025896406],"study_design_scores_gemma":[0.0011509066,0.00019998866,0.9961404,0.0000053593894,0.0000023153395,0.000016837595,0.000004519565,0.00011406213,0.002082633,0.000052410116,0.00010167348,0.00012885606],"about_ca_topic_score_codex":0.0000017324894,"about_ca_topic_score_gemma":0.000008754607,"teacher_disagreement_score":0.5888605,"about_ca_system_score_codex":0.0000064753076,"about_ca_system_score_gemma":0.0000074226723,"threshold_uncertainty_score":0.3917412},"labels":[],"label_agreement":null},{"id":"W2082510610","doi":"10.1109/ccece.2008.4564805","title":"A brain-controlled 3D sonar scanner","year":2008,"lang":"en","type":"article","venue":"Conference proceedings - Canadian Conference on Electrical and Computer Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Sonar; Human echolocation; Computer science; Scanner; SIGNAL (programming language); Transducer; Artificial intelligence; Computer vision; Acoustics; Physics","score_opus":0.02117493528111395,"score_gpt":0.19437697437206852,"score_spread":0.17320203909095458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082510610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9705015,0.000061874074,0.012102435,0.0064754053,0.0005188433,0.0009040739,0.000018259603,0.00043562046,0.008982014],"genre_scores_gemma":[0.9958631,0.0000994397,0.00041223055,0.0026309402,0.00021724877,0.000058809874,0.000002983462,0.000030105995,0.0006851571],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978193,0.000015347558,0.00029715776,0.00074240804,0.00029616407,0.000829607],"domain_scores_gemma":[0.99878937,0.00015002403,0.000076207594,0.00011096249,0.0001617053,0.0007117166],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00010244363,0.0003714005,0.00044477315,0.00043277783,0.00034724636,0.0002769581,0.00032470035,0.00014947093,0.0000724768],"category_scores_gemma":[0.00017254865,0.0003353114,0.00008084164,0.00049579196,0.00009289879,0.00026628684,0.000050261624,0.00051008555,0.00003698511],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044979635,0.0002075719,0.0018712241,0.00012473167,0.00008011658,0.0005442917,0.0012719037,0.00065948605,0.12553889,0.7210995,0.0074234647,0.14072901],"study_design_scores_gemma":[0.001256758,0.0004681443,0.002312223,0.000062259656,0.000009954338,0.00032314344,0.0000053482613,0.9885275,0.0011455546,0.00062717765,0.004741101,0.0005208352],"about_ca_topic_score_codex":0.0008207367,"about_ca_topic_score_gemma":0.00022990054,"teacher_disagreement_score":0.987868,"about_ca_system_score_codex":0.00012818353,"about_ca_system_score_gemma":0.0003086018,"threshold_uncertainty_score":0.9999099},"labels":[],"label_agreement":null},{"id":"W2083101653","doi":"10.1016/j.mehy.2004.04.005","title":"The emergence of consciousness","year":2004,"lang":"en","type":"article","venue":"Medical Hypotheses","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Consciousness; Mechanism (biology); Action (physics); Intentionality; Cognitive science; Psychology; Natural (archaeology); Epistemology; Perception; Cognitive psychology; Neuroscience; Philosophy; History; Physics","score_opus":0.032444699077411425,"score_gpt":0.2703710197018291,"score_spread":0.23792632062441765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083101653","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9850661,0.00009307731,0.0010491766,0.00696154,0.00093921076,0.00011325735,0.0000045930265,0.00004738719,0.0057256576],"genre_scores_gemma":[0.99856263,0.00024676425,0.000017004993,0.00083824893,0.00004956303,0.0000059562135,1.2839143e-7,0.0000054741713,0.00027423457],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990375,0.000047484576,0.00015509316,0.00013800891,0.00047357008,0.000148321],"domain_scores_gemma":[0.99901587,0.00069262093,0.00004850158,0.00015019538,0.000018975625,0.00007382366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020671802,0.000055033113,0.00007553804,0.00001604056,0.00015164465,0.000012056365,0.00028373086,0.0000352307,0.00020420602],"category_scores_gemma":[0.0041156444,0.000030273311,0.000039116054,0.00015922781,0.00045249358,0.000037650916,0.000048112972,0.00009825687,0.00003810487],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000096802214,0.00033086343,0.00092852925,0.00004345433,0.000010122167,0.00010835759,0.0002719881,0.00015275016,0.4338338,0.42505255,0.0019104888,0.13726029],"study_design_scores_gemma":[0.0011499482,0.00041989068,0.0042070174,0.00015367699,0.000015352809,0.00015279287,0.00031412815,0.0018992808,0.78342026,0.16348428,0.044433426,0.00034991905],"about_ca_topic_score_codex":0.000026378952,"about_ca_topic_score_gemma":0.00003725165,"teacher_disagreement_score":0.3495865,"about_ca_system_score_codex":0.00000535971,"about_ca_system_score_gemma":0.000062636325,"threshold_uncertainty_score":0.4927108},"labels":[],"label_agreement":null},{"id":"W2083168684","doi":"10.1007/s10827-010-0280-1","title":"Spiking neurons that keep the rhythm","year":2010,"lang":"en","type":"article","venue":"Journal of Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Rhythm; Computer science; Neuroscience; Stimulus (psychology); Perception; Biological neural network; Cognitive psychology; Psychology; Physics","score_opus":0.03663516832875864,"score_gpt":0.2759021981167879,"score_spread":0.23926702978802927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083168684","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9773156,0.000004636138,0.009989791,0.006838688,0.0051786155,0.00009415373,0.0000039364922,0.000020789685,0.00055380055],"genre_scores_gemma":[0.9924211,0.0000098126575,0.00045427494,0.0067401836,0.00027115963,0.0000010467794,1.5707693e-7,0.00001059643,0.000091656395],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982354,0.00010714633,0.00031773755,0.00023350463,0.0008853678,0.00022085663],"domain_scores_gemma":[0.99837893,0.00078859355,0.00044449678,0.00015601522,0.00012341702,0.000108538436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042229137,0.00011721485,0.00012271172,0.00013321746,0.00045940574,0.00023984106,0.00060592155,0.000028314113,0.000029112934],"category_scores_gemma":[0.0011349422,0.00007474891,0.00011776537,0.00047279845,0.0004562301,0.00054739235,0.00009047173,0.00065840577,0.000010173525],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030601095,0.00008852434,0.00059796736,0.000003912136,9.336601e-7,0.00014431281,0.00006104085,0.058130458,0.8886578,0.043730676,0.00047359953,0.0080801705],"study_design_scores_gemma":[0.0011055671,0.0008441795,0.18192874,0.000038363036,0.000031008865,0.02109413,0.00004028885,0.5583592,0.06464449,0.13206363,0.039308146,0.00054225087],"about_ca_topic_score_codex":8.942146e-7,"about_ca_topic_score_gemma":0.0000012675343,"teacher_disagreement_score":0.8240133,"about_ca_system_score_codex":0.000011152089,"about_ca_system_score_gemma":0.00011357541,"threshold_uncertainty_score":0.3533424},"labels":[],"label_agreement":null},{"id":"W2083232929","doi":"10.5555/1400549.1400644","title":"Large scale modeling of the piriform cortex for analyzing antiepileptic effects","year":2008,"lang":"en","type":"article","venue":"Spring Simulation Multiconference","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Piriform cortex; Correlation dimension; Lyapunov exponent; Synchronization (alternating current); Computer science; Nonlinear system; Attractor; Phase space; Phase synchronization; Recurrence plot; Chaotic; Artificial intelligence; Mathematics; Fractal dimension; Fractal; Neuroscience; Physics; Psychology; Telecommunications; Hippocampus; Mathematical analysis","score_opus":0.045407629734268595,"score_gpt":0.2848865737874112,"score_spread":0.23947894405314263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083232929","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78820664,0.000005131373,0.21103041,0.000025140322,0.00026121066,0.00036650978,0.0000066656617,0.000036171452,0.00006214106],"genre_scores_gemma":[0.9992145,0.000008905871,0.00056298653,0.00009140637,0.000034777346,0.000010630244,0.0000012282395,0.000014164805,0.000061445775],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990014,0.000046947476,0.00025697693,0.00027396186,0.00019717842,0.00022353504],"domain_scores_gemma":[0.9989455,0.00051030813,0.00014244014,0.00026284662,0.00010155826,0.00003736218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001267447,0.00011346546,0.0001541681,0.00006432469,0.00036707023,0.000020908165,0.00018820839,0.000049559116,0.0000042914544],"category_scores_gemma":[0.0007111944,0.000087433255,0.0001057815,0.0001955527,0.00006369288,0.00017182119,0.000065977474,0.00010983242,0.0000040796413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028510245,0.00005424002,0.026531912,0.00007069816,0.0000030918875,6.098345e-7,0.00031722142,0.65662426,0.31391877,0.0018239658,4.5005356e-7,0.0006263067],"study_design_scores_gemma":[0.0004973709,0.00003107916,0.031330604,0.00005675223,0.000011404295,0.000001014152,0.0000115583825,0.9362454,0.03137657,0.00032774892,0.000013468717,0.000097030956],"about_ca_topic_score_codex":0.000018002642,"about_ca_topic_score_gemma":0.000011531037,"teacher_disagreement_score":0.2825422,"about_ca_system_score_codex":0.000026301768,"about_ca_system_score_gemma":0.00003432068,"threshold_uncertainty_score":0.35654247},"labels":[],"label_agreement":null},{"id":"W2083238064","doi":"10.1007/s10867-010-9205-5","title":"Experimental observation of increased fluctuations in an order parameter before epochs of extended brain synchronization","year":2010,"lang":"en","type":"article","venue":"Journal of Biological Physics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Toronto Western Hospital; Hospital for Sick Children; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Neuroscience; Epilepsy; Synchronization (alternating current); Hyperventilation; Magnetoencephalography; Electroencephalography; Statistical physics; Phase synchronization; Physics; Computer science; Psychology; Phase (matter); Medicine; Anesthesia","score_opus":0.043935388408425945,"score_gpt":0.3003408794489278,"score_spread":0.25640549104050187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083238064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962284,0.0000039538772,0.0033215727,0.00012162346,0.00018635095,0.00010375222,0.000008757138,0.000004846629,0.000020736876],"genre_scores_gemma":[0.998206,0.0000029830346,0.0014800451,0.00019791575,0.000090625654,0.0000018816409,0.0000118795715,0.000005257224,0.000003417055],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990565,0.0001254513,0.00042587725,0.00012258066,0.00017732309,0.0000922677],"domain_scores_gemma":[0.99897885,0.00023964843,0.00047006374,0.00010649982,0.00016380633,0.000041111456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019898133,0.00008079459,0.0001917277,0.000056521334,0.00003102184,0.000011269803,0.00013650586,0.00007978342,0.000029520485],"category_scores_gemma":[0.0010011039,0.000056209734,0.00006589556,0.0003306749,0.0001225615,0.0002964075,0.000023755845,0.00019838047,5.3581766e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006957724,0.00046492848,0.005403756,0.0000041862227,0.0000021952549,0.0000017971079,0.00007806622,0.0002621567,0.9858086,0.0038834917,0.000006125462,0.0040151365],"study_design_scores_gemma":[0.00077398657,0.0019779378,0.19272313,0.000023065215,0.0000078931935,0.000013873674,0.00006780679,0.03518364,0.7437276,0.025378764,0.000014236718,0.000108069944],"about_ca_topic_score_codex":0.000008346229,"about_ca_topic_score_gemma":0.0000065921336,"teacher_disagreement_score":0.24208097,"about_ca_system_score_codex":0.000020582207,"about_ca_system_score_gemma":0.00003897588,"threshold_uncertainty_score":0.22921665},"labels":[],"label_agreement":null},{"id":"W2084132851","doi":"10.1016/j.neuroimage.2009.09.035","title":"Cortical dynamics of selective attention to somatosensory events","year":2009,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":71,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Hospital for Sick Children","funders":"Canadian Institutes of Health Research; Hospital for Sick Children","keywords":"Somatosensory system; Stimulus (psychology); Neuroscience; Magnetoencephalography; Somatosensory evoked potential; Psychology; Stimulation; Electroencephalography; Audiology; Medicine; Cognitive psychology","score_opus":0.02106327153136001,"score_gpt":0.26989418744150195,"score_spread":0.24883091591014195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084132851","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99364865,8.171524e-7,0.0014068887,0.0012492809,0.00028517694,0.00023796194,0.000019621975,0.00007346083,0.0030781392],"genre_scores_gemma":[0.99748504,0.0000040378395,0.00011757907,0.0017373079,0.000029869645,0.0000026843434,0.0000036887197,0.000012293382,0.00060750055],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99883133,0.0001132419,0.00021236193,0.000359641,0.000263423,0.00021997918],"domain_scores_gemma":[0.9994898,0.00010115754,0.00007371732,0.00020113616,0.00004656399,0.00008763924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006795078,0.00011239071,0.00014023135,0.00009950375,0.000085222506,0.00001668571,0.00013817007,0.000038641563,0.000013083057],"category_scores_gemma":[0.0004445472,0.0001087635,0.00007375998,0.00035628467,0.00003187804,0.00013019318,0.000034291872,0.00017268583,0.00006868271],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060220267,0.00013362346,0.0009202411,0.0000048822394,8.544184e-7,0.000019804458,0.00001614963,0.00004595226,0.99081016,0.0043263505,0.00017952829,0.0034822195],"study_design_scores_gemma":[0.00062702544,0.0014072728,0.70719737,0.000027689093,0.000021595033,0.000101847334,0.000017281081,0.041474886,0.2426146,0.0060448977,0.00015772304,0.00030781826],"about_ca_topic_score_codex":0.000002795256,"about_ca_topic_score_gemma":0.0000033329707,"teacher_disagreement_score":0.7481956,"about_ca_system_score_codex":0.000039856255,"about_ca_system_score_gemma":0.000013306139,"threshold_uncertainty_score":0.4435247},"labels":[],"label_agreement":null},{"id":"W2084222161","doi":"10.1371/journal.pone.0114550","title":"Spectral and Temporal Acoustic Features Modulate Response Irregularities within Primary Auditory Cortex Columns","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Auditory cortex; Neuroscience; Sensory system; Cerebral cortex; Visual cortex; CATS; Premovement neuronal activity; Biology; Computer science","score_opus":0.022126583269268647,"score_gpt":0.20640229350965383,"score_spread":0.1842757102403852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084222161","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980793,0.000021828982,0.000070700844,0.0005288582,0.00035967634,0.00023833608,0.000024248184,0.00013838761,0.0005386796],"genre_scores_gemma":[0.9903868,0.000015345877,0.0004275311,0.0010168261,0.00028292355,0.000012809266,0.0000066272064,0.000026334872,0.007824809],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985053,0.00029609242,0.00017361496,0.0004018213,0.00037554296,0.0002476237],"domain_scores_gemma":[0.9991082,0.00042165496,0.00009543844,0.00024304613,0.000029930998,0.00010173233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003755589,0.00015299601,0.00021832022,0.00008324169,0.00021833523,0.000110767185,0.00012715795,0.00008072308,0.000017814089],"category_scores_gemma":[0.0006795886,0.00014642636,0.000033938573,0.00011498323,0.00021666977,0.00017713482,0.00007290537,0.0002481266,0.000015269388],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006881613,0.00022121774,0.0005539885,0.00007217371,0.000011252762,0.000019857813,0.000115268434,0.000053627315,0.9973382,0.00038800042,0.00045542463,0.00008282774],"study_design_scores_gemma":[0.0015419025,0.0016025435,0.7321084,0.00025791198,0.0001644872,0.00009904924,0.000072004696,0.07540365,0.18140328,0.0063350406,0.00021417045,0.00079753785],"about_ca_topic_score_codex":0.000014423289,"about_ca_topic_score_gemma":0.000032107935,"teacher_disagreement_score":0.8159349,"about_ca_system_score_codex":0.00004959764,"about_ca_system_score_gemma":0.000037670383,"threshold_uncertainty_score":0.5971094},"labels":[],"label_agreement":null},{"id":"W2084267930","doi":"10.1016/s1385-299x(00)00050-7","title":"Comparative computations of spike synchronization in visual cortex of cats","year":2001,"lang":"en","type":"article","venue":"Brain Research Protocols","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Correlogram; Synchronization (alternating current); Visual cortex; Electrophysiology; CATS; Spike (software development); Pattern recognition (psychology); Measure (data warehouse); Perception; Computer science; Contrast (vision); Collar; Neuroscience; Mathematics; Artificial intelligence; Psychology; Data mining; Channel (broadcasting)","score_opus":0.22027743565888774,"score_gpt":0.5062027511159679,"score_spread":0.28592531545708016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084267930","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8908316,0.0000034917348,0.003266625,0.0006810159,0.000030060497,0.10165224,0.00002412414,0.00003197298,0.0034788942],"genre_scores_gemma":[0.9757565,0.0000025179384,0.0001030245,0.000057186593,0.000021573156,0.02372596,0.00000816055,0.000009923216,0.00031513744],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99769396,0.00068309373,0.0003901853,0.00029929145,0.00064324646,0.00029024723],"domain_scores_gemma":[0.9982063,0.0011318763,0.00013906084,0.00017715892,0.00028494233,0.000060651877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008391913,0.000087862914,0.0002239333,0.000392593,0.00009831315,0.000028357947,0.00022745755,0.0000542519,0.00007742925],"category_scores_gemma":[0.0010344873,0.00008199335,0.0000357708,0.0015979545,0.000329297,0.00017192181,0.00009878505,0.00024542367,0.000017685054],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003352316,0.00096358784,0.008087967,0.00020214362,0.000003893699,0.000025640304,0.000605247,0.002746629,0.9699702,0.009041307,0.00076361146,0.007254518],"study_design_scores_gemma":[0.0041007116,0.004095303,0.20339662,0.0010416689,0.000002753379,0.000033251577,0.0004890061,0.43953297,0.33350885,0.0077031124,0.005696404,0.00039933162],"about_ca_topic_score_codex":0.00008976335,"about_ca_topic_score_gemma":0.00012213385,"teacher_disagreement_score":0.6364614,"about_ca_system_score_codex":0.00007033035,"about_ca_system_score_gemma":0.00017109742,"threshold_uncertainty_score":0.33435917},"labels":[],"label_agreement":null},{"id":"W2084292904","doi":"10.1121/1.4782505","title":"Time courses of cortical beta and gamma-band activity during listening to metronome sounds in different tempi.","year":2008,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; McMaster University; University of Toronto","funders":"","keywords":"Magnetoencephalography; Metronome; Stimulus (psychology); Audiology; Electroencephalography; Beta Rhythm; BETA (programming language); Tone (literature); Active listening; Psychology; Beat (acoustics); Auditory cortex; Rhythm; Communication; Neuroscience; Speech recognition; Physics; Acoustics; Cognitive psychology; Computer science; Medicine; Linguistics","score_opus":0.018494110165674527,"score_gpt":0.24790144873451897,"score_spread":0.22940733856884443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084292904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99375266,0.000021041207,0.0033343635,0.0026766083,0.00007961344,0.00009404557,0.0000059354807,0.0000037968966,0.0000319256],"genre_scores_gemma":[0.999069,0.00012029792,0.00038204365,0.0002690752,0.0000589307,5.4202866e-7,4.233408e-8,0.000008694006,0.00009138704],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99879587,0.00018498476,0.0003273804,0.000110400564,0.00038626345,0.00019508041],"domain_scores_gemma":[0.99839646,0.0010027265,0.00031176663,0.00015731524,0.00004643389,0.00008530673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025513058,0.000112000176,0.00035430334,0.000029114133,0.00017605761,0.000009234421,0.0002765772,0.00003714414,0.000013917332],"category_scores_gemma":[0.0003955231,0.0000581185,0.00018996252,0.00023824966,0.0007892755,0.00007917838,0.00014856976,0.00038270373,6.841916e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025250332,0.00014104326,0.001962205,0.000019941188,0.000020843081,0.0000018761015,0.00044397882,0.0024623733,0.99399734,0.0000018174858,0.00017967654,0.0005164251],"study_design_scores_gemma":[0.0013596945,0.0014557856,0.55481285,0.00019423866,0.00026136974,0.0004315133,0.0007943358,0.13769206,0.3024152,0.00022105839,0.00007198917,0.00028991394],"about_ca_topic_score_codex":0.000017988094,"about_ca_topic_score_gemma":4.5410053e-7,"teacher_disagreement_score":0.69158214,"about_ca_system_score_codex":0.000055573277,"about_ca_system_score_gemma":0.000030775307,"threshold_uncertainty_score":0.29081187},"labels":[],"label_agreement":null},{"id":"W2084407515","doi":"10.1037/cjep2006029","title":"Neural synchrony in stochastic resonance, attention, and consciousness.","year":2006,"lang":"en","type":"review","venue":"Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Consciousness; Perception; Psychology; Artificial neural network; Functional magnetic resonance imaging; Cognition; Noise (video); Neural activity; Cognitive science; Neural correlates of consciousness; Cognitive psychology; Neuroscience; Artificial intelligence; Computer science","score_opus":0.06136368350910985,"score_gpt":0.3342629914014703,"score_spread":0.27289930789236044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084407515","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11274128,0.880725,0.000026408608,0.00022980578,0.004222133,0.0007984551,0.00019536582,0.000022355596,0.0010391718],"genre_scores_gemma":[0.5614653,0.43426213,0.00020050109,0.0019837846,0.0008096417,0.00018993928,0.000083483996,0.00025688528,0.0007483126],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99515307,0.0005031115,0.0014921222,0.0011789585,0.00012997308,0.001542765],"domain_scores_gemma":[0.99693924,0.00025203262,0.000951982,0.00059918524,0.000054940658,0.0012026089],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006253205,0.0007442455,0.0016010639,0.0015080764,0.0002670064,0.00013344237,0.0009934795,0.00055975554,0.00013514802],"category_scores_gemma":[0.00023446619,0.0007427796,0.0004374362,0.00078878115,0.00086104666,0.00028911344,0.00006263772,0.0012056369,0.000025605736],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005117667,0.0021043164,0.00376031,0.0025923315,0.00033024434,0.028704628,0.0028807556,0.00018971799,0.027917126,0.00454832,0.068677105,0.8577834],"study_design_scores_gemma":[0.0072893426,0.003399289,0.0045431377,0.010206436,0.00047601823,0.058167927,0.0013542628,0.0002463489,0.00025253912,0.0017828627,0.90860796,0.0036738638],"about_ca_topic_score_codex":0.0027807108,"about_ca_topic_score_gemma":0.025795983,"teacher_disagreement_score":0.8541095,"about_ca_system_score_codex":0.0017872419,"about_ca_system_score_gemma":0.00062637706,"threshold_uncertainty_score":0.9995023},"labels":[],"label_agreement":null},{"id":"W2084589427","doi":"10.1038/nn.3499","title":"Spontaneous cortical activity alternates between motifs defined by regional axonal projections","year":2013,"lang":"en","type":"article","venue":"Nature Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":431,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Sensory system; Psychology","score_opus":0.025854712372769914,"score_gpt":0.26925649606046453,"score_spread":0.2434017836876946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084589427","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922684,0.000011736836,0.0006592644,0.0041286056,0.0013531225,0.00045959794,0.00006339541,0.00020516555,0.000850745],"genre_scores_gemma":[0.9934091,0.000018897903,0.000087826746,0.0046528433,0.00017982213,0.000042538202,0.0000054733946,0.000022494512,0.00158098],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9972268,0.00017242129,0.00021863253,0.0009945001,0.00082438224,0.0005632735],"domain_scores_gemma":[0.9985269,0.0007051758,0.00012599143,0.00032643238,0.00007625668,0.00023927685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013068362,0.00025236656,0.00019811242,0.00012704752,0.00059931766,0.0002714118,0.00057594886,0.00021544524,0.00006109427],"category_scores_gemma":[0.0015886527,0.00020961449,0.00009881636,0.00076460774,0.00041794244,0.00064612157,0.00014482047,0.0013142743,0.00009798006],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017189015,0.0001363623,0.0011907383,0.00000473799,7.65093e-7,0.00007684076,0.00000812605,0.000023006767,0.9908684,0.0011280685,0.004457967,0.0020878182],"study_design_scores_gemma":[0.0011322869,0.0014013171,0.35735437,0.000043105672,0.000044676828,0.0056883446,0.000015651263,0.07573512,0.5101,0.0056063,0.04139719,0.0014816574],"about_ca_topic_score_codex":0.000071353956,"about_ca_topic_score_gemma":0.000008093106,"teacher_disagreement_score":0.4807684,"about_ca_system_score_codex":0.000072748044,"about_ca_system_score_gemma":0.000072040195,"threshold_uncertainty_score":0.85478306},"labels":[],"label_agreement":null},{"id":"W2084666114","doi":"10.1016/j.jneumeth.2005.05.006","title":"Computing spike directivity with tetrodes","year":2005,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"London Health Sciences Centre","funders":"","keywords":"Directivity; Spike (software development); Computer science; Spike train; Trajectory; Biological system; Acoustics; Physics; Algorithm; Antenna (radio); Telecommunications","score_opus":0.067032839294637,"score_gpt":0.3816198192375983,"score_spread":0.3145869799429613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084666114","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79101694,0.00001852583,0.20561439,0.0011981239,0.0010643122,0.00007235326,9.4978355e-7,0.000031202566,0.000983225],"genre_scores_gemma":[0.904075,0.000023547156,0.09358892,0.0018244964,0.00026841983,4.1518862e-7,1.7335596e-8,0.0000133231215,0.00020580713],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99784917,0.00060516683,0.0003655539,0.0003292303,0.0005405655,0.00031033604],"domain_scores_gemma":[0.9983004,0.0007712614,0.0004973932,0.00018455558,0.000095023934,0.00015141131],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016690914,0.00014865203,0.0002562213,0.00021352971,0.00027034755,0.00014525077,0.0004340483,0.000030850893,0.000006837015],"category_scores_gemma":[0.002331274,0.00009829637,0.00010063148,0.0008018893,0.00024468903,0.0007372522,0.000077879486,0.00040953798,0.0000024762953],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036399368,0.00007483749,0.0005119122,0.000003226639,5.2170844e-7,0.000034968,0.000040112223,0.0025810967,0.88297766,0.00025159228,0.000032686323,0.113455005],"study_design_scores_gemma":[0.0005092389,0.0011384607,0.030696718,0.000042681837,0.0000190247,0.0026390236,0.00002103886,0.08101816,0.863,0.00043317358,0.020224327,0.00025816678],"about_ca_topic_score_codex":0.0000017870626,"about_ca_topic_score_gemma":0.0000014454421,"teacher_disagreement_score":0.11319684,"about_ca_system_score_codex":0.00005606022,"about_ca_system_score_gemma":0.00007397712,"threshold_uncertainty_score":0.40084097},"labels":[],"label_agreement":null},{"id":"W2084929071","doi":"10.1111/ene.12537","title":"Current or voltage? Another Shakespearean dilemma","year":2014,"lang":"en","type":"letter","venue":"European Journal of Neurology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Western Hospital; University of Toronto","funders":"","keywords":"Medicine; Dilemma; Current (fluid); Electrical engineering; Epistemology; Engineering","score_opus":0.05955688927280375,"score_gpt":0.26358437654840183,"score_spread":0.20402748727559808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084929071","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037784,0.00015190175,0.0030772747,0.93085444,0.018793173,0.00042148,0.000062548614,0.00014930003,0.008705898],"genre_scores_gemma":[0.0442054,0.00021253897,0.0000196798,0.94007313,0.0130724115,0.0000011137444,0.000008788285,0.0002357293,0.0021712212],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9944422,0.0027773303,0.0009761774,0.000636833,0.00058405224,0.0005833611],"domain_scores_gemma":[0.9970732,0.0007316491,0.0014220543,0.00051878946,0.00013977692,0.000114545495],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00072298653,0.0004694024,0.000647794,0.00043862374,0.00012828625,0.00013794565,0.0012076782,0.0001740973,0.00049833755],"category_scores_gemma":[0.0009838012,0.00032768864,0.0003724761,0.00022937407,0.00022696589,0.00015206137,0.00018782413,0.004421929,0.0005345201],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003119538,0.00004633462,0.000032704924,0.00004750284,0.00001239434,0.019038346,0.00002388511,0.00003159843,0.007849754,0.00003179904,0.9612213,0.011352471],"study_design_scores_gemma":[0.00065532926,0.0023944033,0.00038664963,0.000054596854,0.000047008583,0.0066028778,3.3079792e-7,0.00015182608,0.00016877729,0.00009314666,0.9891477,0.0002973025],"about_ca_topic_score_codex":8.854281e-7,"about_ca_topic_score_gemma":8.1789585e-7,"teacher_disagreement_score":0.027926495,"about_ca_system_score_codex":0.00002225089,"about_ca_system_score_gemma":0.00006851599,"threshold_uncertainty_score":0.9999175},"labels":[],"label_agreement":null},{"id":"W2085064882","doi":"10.1016/j.conb.2012.05.007","title":"Making decisions through a distributed consensus","year":2012,"lang":"en","type":"review","venue":"Current Opinion in Neurobiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":353,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Representation (politics); Psychology; Competition (biology); Neuroscience; Cognitive science; Cognitive psychology; Computer science; Political science; Biology","score_opus":0.43624459177578,"score_gpt":0.4568695636911873,"score_spread":0.020624971915407297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085064882","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00003055026,0.9629632,0.00023745986,0.000077789,0.034831874,0.0008981022,0.0007281455,0.000105414794,0.00012746546],"genre_scores_gemma":[0.00026629464,0.99834895,0.000022557315,0.000069826856,0.0005838325,0.00013091335,0.0005101846,0.000052348438,0.000015085484],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9961201,0.0010880821,0.0009659121,0.0009846671,0.00014002406,0.0007012103],"domain_scores_gemma":[0.99625224,0.0025342775,0.00057563436,0.0005309592,0.00002669549,0.00008019994],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018836404,0.0005286386,0.001225751,0.00026890048,0.00014229315,0.000041520892,0.0005268559,0.0003562403,0.00006033162],"category_scores_gemma":[0.0012045719,0.00041875575,0.0003781081,0.00082650536,0.00021982947,0.00007419444,0.000386617,0.0010998615,0.00028476786],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016413056,0.00024138375,0.000017799266,0.0029903157,0.0000068220743,0.000006964629,0.000017346749,0.000008464535,0.000036627527,0.0098665,0.002923646,0.9838677],"study_design_scores_gemma":[0.0001792055,0.00005945824,0.000014280078,0.0049906024,0.000045020653,0.00027541642,0.0000012988422,0.000041129366,0.0000016553506,0.00046924312,0.99355495,0.0003677401],"about_ca_topic_score_codex":0.0000016152372,"about_ca_topic_score_gemma":9.849324e-7,"teacher_disagreement_score":0.9906313,"about_ca_system_score_codex":0.000114677285,"about_ca_system_score_gemma":0.00011583895,"threshold_uncertainty_score":0.99982643},"labels":[],"label_agreement":null},{"id":"W2085270421","doi":"10.1523/jneurosci.0764-10.2010","title":"Noradrenergic Control of Cortico-Striato-Thalamic and Mesolimbic Cross-Structural Synchrony","year":2010,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; H. Lundbeck A/S; National Institutes of Health; Ruth K. Broad Biomedical Research Foundation","keywords":"Neuroscience; Infralimbic cortex; Striatum; Substantia nigra; Norepinephrine; Ventral tegmental area; Thalamus; Dopamine; Cortex (anatomy); Locus coeruleus; Psychology; Prefrontal cortex; Chemistry; Dopaminergic; Central nervous system","score_opus":0.014214822211479941,"score_gpt":0.27004517413533263,"score_spread":0.2558303519238527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085270421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962093,0.000025203013,0.00033786608,0.0003197936,0.0029071232,0.00010038562,0.000016495474,0.000012242791,0.000071567454],"genre_scores_gemma":[0.9990447,0.000045967572,0.00006938512,0.0006163215,0.00012620424,7.6638673e-7,1.0263706e-7,0.0000122149395,0.00008434413],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99813026,0.000086544074,0.0006021677,0.00031387145,0.00057394523,0.00029323876],"domain_scores_gemma":[0.99837893,0.00028782833,0.00078978576,0.00022056187,0.00014135495,0.00018150767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033117976,0.00016080827,0.00030827612,0.00018162077,0.00018841235,0.00014939724,0.00048602087,0.000064810156,0.0000165021],"category_scores_gemma":[0.0015865451,0.000120345336,0.000116982,0.0003845487,0.0007638158,0.00060036103,0.00007177723,0.0004935647,0.000001365937],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006394132,0.00002833042,0.012240005,0.000009707559,9.662216e-7,0.00006159141,0.000018259574,0.00027812427,0.9853063,0.0011377902,0.000008715351,0.0008462691],"study_design_scores_gemma":[0.002449022,0.0013238919,0.5653761,0.00003135499,0.000042339874,0.0056672506,0.0000095005535,0.076055296,0.3462359,0.0020159695,0.00048020243,0.00031316857],"about_ca_topic_score_codex":0.0000049714117,"about_ca_topic_score_gemma":0.000003325062,"teacher_disagreement_score":0.6390704,"about_ca_system_score_codex":0.0000146670645,"about_ca_system_score_gemma":0.00010361561,"threshold_uncertainty_score":0.49075404},"labels":[],"label_agreement":null},{"id":"W2085323454","doi":"10.1371/journal.pone.0064294","title":"Adaptation Shifts Preferred Orientation of Tuning Curve in the Mouse Visual Cortex","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Visual cortex; Stimulus (psychology); Neuroscience; Adaptation (eye); Biophysics; Biology; Physics; Psychology; Cognitive psychology","score_opus":0.08385508361259701,"score_gpt":0.2648182340888072,"score_spread":0.1809631504762102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085323454","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987622,0.0000033205363,0.00023700522,0.00019414327,0.000036360274,0.00038470744,0.0000034590018,0.000020343728,0.00035845028],"genre_scores_gemma":[0.9994014,0.000011486538,0.00009690431,0.00023865758,0.00002082062,0.00004373007,0.000013574127,0.000007272604,0.00016615933],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916655,0.00011949898,0.00016501699,0.00015528241,0.00029081688,0.00010284889],"domain_scores_gemma":[0.99957883,0.00016460336,0.000095701675,0.00010181504,0.00004194177,0.000017086615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010609886,0.00005743444,0.00007855489,0.00006167458,0.00004425868,0.00003362594,0.00009436798,0.00002547412,0.00003653421],"category_scores_gemma":[0.00027798032,0.00004362484,0.000016036523,0.00023606695,0.000028764507,0.00028597825,0.00001277775,0.00008951308,0.00002936555],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018446002,0.00043202072,0.0013343397,0.000015930624,0.0000024336398,6.303549e-7,0.001052759,0.00006571598,0.995373,0.0006454421,0.000013027574,0.0010462208],"study_design_scores_gemma":[0.00073882914,0.0004569269,0.15990311,0.00006696168,0.000026608366,0.0000011742846,0.0009051555,0.47553787,0.36081925,0.0013537495,0.000009921468,0.00018045376],"about_ca_topic_score_codex":0.000118887096,"about_ca_topic_score_gemma":0.00003441509,"teacher_disagreement_score":0.6345538,"about_ca_system_score_codex":0.000016351534,"about_ca_system_score_gemma":0.00000981306,"threshold_uncertainty_score":0.17789695},"labels":[],"label_agreement":null},{"id":"W2085361193","doi":"10.1016/j.jneumeth.2006.05.003","title":"Building spike representation in tetrodes","year":2006,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Movement Disorders","funders":"","keywords":"Spike (software development); Representation (politics); SIGNAL (programming language); Computer science; Triangulation; Biological system; Computation; Position (finance); Physics; Pattern recognition (psychology); Artificial intelligence; Algorithm; Mathematics; Geometry; Biology","score_opus":0.0869402158586761,"score_gpt":0.42277285857395924,"score_spread":0.3358326427152831,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085361193","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8734448,0.000019545208,0.12344123,0.00062221265,0.001740564,0.00007434035,7.226836e-7,0.000013634242,0.00064297154],"genre_scores_gemma":[0.930348,0.000027456088,0.06866373,0.00059258443,0.00016953557,0.0000013338296,4.336061e-8,0.000010012033,0.00018733455],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997886,0.0006010802,0.00053559005,0.00029188825,0.0004375106,0.00024793934],"domain_scores_gemma":[0.99872303,0.00058960787,0.00042606884,0.00014919045,0.000053693646,0.00005843229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014460979,0.00010378585,0.00019690701,0.00043557244,0.00010428009,0.00011941176,0.00035222442,0.000034010045,0.000004898525],"category_scores_gemma":[0.0032298344,0.00008334862,0.00009690745,0.0012296146,0.00012747463,0.00068927347,0.00005538722,0.00028915075,0.0000010339335],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019495239,0.000055321707,0.0017798824,0.0000028106679,9.87438e-8,0.00008017434,0.000010553666,0.0036193882,0.97775096,0.0028825959,0.00004674672,0.013751973],"study_design_scores_gemma":[0.00035403078,0.00023301704,0.08912504,0.000023260038,0.0000050522667,0.00056239276,0.000012072587,0.024419067,0.86181587,0.020578476,0.0027431976,0.0001285128],"about_ca_topic_score_codex":0.000020406558,"about_ca_topic_score_gemma":0.0000025575175,"teacher_disagreement_score":0.11593507,"about_ca_system_score_codex":0.000055265555,"about_ca_system_score_gemma":0.00004062193,"threshold_uncertainty_score":0.3866647},"labels":[],"label_agreement":null},{"id":"W2085385738","doi":"10.1186/1471-2202-9-s1-p146","title":"Predicting synchrony and asynchrony in basket cell networks coupled by multiple dendritic gap junctions","year":2008,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Asynchrony (computer programming); Computer science; Neuroscience; Gap junction; Psychology; Biology; Computer network; Asynchronous communication; Genetics","score_opus":0.03319423591496036,"score_gpt":0.23133096124137922,"score_spread":0.19813672532641885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085385738","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9845857,0.00008664212,0.012622002,0.0001041548,0.0015303617,0.00040797793,0.00001871963,0.0001450337,0.0004994005],"genre_scores_gemma":[0.9971595,0.00026858193,0.00011615022,0.0011840758,0.00007232566,0.000033697597,0.0000028339186,0.000028131193,0.0011346929],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973993,0.00017826841,0.00035637605,0.0010078407,0.0004207551,0.00063748733],"domain_scores_gemma":[0.9986824,0.0006357789,0.0001269051,0.0003230703,0.000026445574,0.00020541518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022702398,0.00024461024,0.00021196884,0.00015391313,0.0006741203,0.000113801114,0.0003371778,0.000083059895,0.000016310425],"category_scores_gemma":[0.0011220721,0.00024153822,0.00005412627,0.00090763735,0.00053775054,0.0005429253,0.00017538317,0.00037987242,0.000012648102],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003251753,0.00021943476,0.22588901,0.00003137327,2.4242325e-7,0.00008926005,0.00005216586,0.010214697,0.76251394,0.00009314801,0.0007017706,0.00016242401],"study_design_scores_gemma":[0.0006926386,0.00017070274,0.072278865,0.000020165317,0.0000045098477,0.00024835565,0.000015558011,0.918128,0.007661776,0.000028932678,0.0004939406,0.00025652535],"about_ca_topic_score_codex":0.000095863994,"about_ca_topic_score_gemma":0.00012756558,"teacher_disagreement_score":0.9079133,"about_ca_system_score_codex":0.000066343186,"about_ca_system_score_gemma":0.00008184668,"threshold_uncertainty_score":0.9849643},"labels":[],"label_agreement":null},{"id":"W2085445632","doi":"10.1016/s0925-2312(00)00267-8","title":"A large-scale neuroanatomical model of attention implemented as a computer simulation","year":2000,"lang":"en","type":"article","venue":"Neurocomputing","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Neuroanatomy; Variety (cybernetics); Scale (ratio); Artificial intelligence; Neuroscience; Psychology; Physics","score_opus":0.025231988269387867,"score_gpt":0.2832745910116434,"score_spread":0.2580426027422555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085445632","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.953256,8.919051e-7,0.045339886,0.0001521837,0.00015514952,0.00026103892,0.000011694486,0.00012819943,0.00069495704],"genre_scores_gemma":[0.9975942,0.000002826755,0.000628147,0.0014861354,0.000099402925,0.0000028824786,0.0000072979606,0.000024648754,0.00015449976],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99839133,0.00012216483,0.00038977136,0.00048315915,0.0002966814,0.00031687348],"domain_scores_gemma":[0.99937785,0.00018609742,0.00013305935,0.00019586724,0.000038828384,0.00006831846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012274983,0.00014939836,0.00017358747,0.00009166805,0.00017968546,0.000043655877,0.00016465837,0.000047374284,0.00009190902],"category_scores_gemma":[0.000039406237,0.00014955383,0.00011302529,0.00028544833,0.000031074876,0.00015721556,0.00008977688,0.00017921999,0.000045641547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063009225,0.00013614872,0.0003076661,0.000016306163,0.0000018705522,0.000006304697,0.00011704362,0.6981476,0.2753857,0.0005573514,0.000043921544,0.025217094],"study_design_scores_gemma":[0.00058404816,0.00012521954,0.00136689,0.000013794532,0.000007983803,0.000014919484,0.0000048949596,0.9919111,0.005027918,0.00044748114,0.0003772369,0.00011852902],"about_ca_topic_score_codex":0.0000050737235,"about_ca_topic_score_gemma":0.00000144962,"teacher_disagreement_score":0.29376352,"about_ca_system_score_codex":0.000017180058,"about_ca_system_score_gemma":0.000015926786,"threshold_uncertainty_score":0.60986286},"labels":[],"label_agreement":null},{"id":"W2085485081","doi":"10.1073/pnas.0812695106","title":"Imaging rapid redistribution of sensory-evoked depolarization through existing cortical pathways after targeted stroke in mice","year":2009,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC; Canadian Stroke Network","keywords":"Forelimb; Somatosensory system; Neuroscience; Sensory system; Hindlimb; Cortex (anatomy); Sensory cortex; Penumbra; Stimulation; Biology; Depolarization; Anatomy; Medicine; Ischemia; Internal medicine; Biophysics","score_opus":0.05098405236590259,"score_gpt":0.2922583367458447,"score_spread":0.24127428437994214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085485081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952548,0.00004133873,0.00004351768,0.0015125691,0.000036680245,0.00017025668,0.00004940795,0.000014101083,0.0028773223],"genre_scores_gemma":[0.99895215,0.000015480895,0.0006188635,0.00035119496,0.00003607234,0.0000031683517,4.9612123e-7,0.0000028173085,0.000019765153],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981768,0.000023069013,0.00044070077,0.00028725548,0.0008976134,0.00017453679],"domain_scores_gemma":[0.99914473,0.00017519503,0.00046837577,0.000008629426,0.00018153375,0.00002151549],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007593298,0.00009175747,0.000141511,0.00013311577,0.00014651923,0.000023449436,0.00032358707,0.000059675163,0.0000044481967],"category_scores_gemma":[0.002035324,0.00006918723,0.00005943768,0.00090372865,0.00046121454,0.0006965117,0.000057477915,0.0002063114,3.0547602e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003991262,0.00004647619,0.0029407104,0.000018941473,7.6111917e-7,3.1912307e-8,0.000100983714,0.000068346,0.9570216,0.039282177,0.000012515482,0.00046755423],"study_design_scores_gemma":[0.0001653238,0.000048665894,0.09403483,0.000065806686,0.000004958682,0.00000817439,0.000075041484,0.024112789,0.84962785,0.03178339,0.000007780048,0.00006535921],"about_ca_topic_score_codex":0.000004311175,"about_ca_topic_score_gemma":5.482365e-8,"teacher_disagreement_score":0.10739371,"about_ca_system_score_codex":0.000045865272,"about_ca_system_score_gemma":0.00002397796,"threshold_uncertainty_score":0.28213733},"labels":[],"label_agreement":null},{"id":"W2085651625","doi":"10.1007/s00221-008-1488-4","title":"Microstimulation of monkey dorsolateral prefrontal cortex impairs antisaccade performance","year":2008,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Multidisciplinary University Research Initiative","keywords":"Antisaccade task; Microstimulation; Dorsolateral prefrontal cortex; Saccade; Neuroscience; Saccadic masking; Prefrontal cortex; Psychology; Stimulus (psychology); Frontal eye fields; Eye movement; Cognition; Cognitive psychology","score_opus":0.09193873411246521,"score_gpt":0.36736881840039043,"score_spread":0.2754300842879252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085651625","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969578,0.00006895339,0.000016706339,0.00018710195,0.00023805344,0.00045346955,0.000017846458,0.000049128783,0.002010974],"genre_scores_gemma":[0.9974851,0.000036160778,0.00009859356,0.00014646516,0.00007577547,0.00002603846,0.00001398307,0.000025858333,0.0020920006],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977657,0.00022994154,0.0002932138,0.00046649476,0.0007577088,0.0004868957],"domain_scores_gemma":[0.9992085,0.0002802795,0.00007048662,0.00026656038,0.000059551836,0.00011462212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030038104,0.00014926668,0.00017112998,0.00021179464,0.00047962053,0.000035113506,0.0002931285,0.00008045824,0.00021087709],"category_scores_gemma":[0.00014692887,0.00013707855,0.0000759337,0.00042460437,0.00048940297,0.0004216385,0.0002037793,0.0003271726,0.00009758277],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024582338,0.00020315607,0.0044319546,0.00001377689,0.0000028047366,0.000027132903,0.000768101,0.000070508315,0.99278545,0.00013680279,0.0009236834,0.0003907749],"study_design_scores_gemma":[0.0006276123,0.00073201506,0.09597682,0.000018708006,5.735822e-7,0.000101880185,0.00010317104,0.020516608,0.8814688,0.000022823782,0.00029952702,0.00013151002],"about_ca_topic_score_codex":0.00010530992,"about_ca_topic_score_gemma":0.0000017566239,"teacher_disagreement_score":0.11131673,"about_ca_system_score_codex":0.00012854385,"about_ca_system_score_gemma":0.000056823665,"threshold_uncertainty_score":0.55899006},"labels":[],"label_agreement":null},{"id":"W2085830902","doi":"10.1152/ajpcell.00378.2012","title":"Gating of maxi channels observed from pseudo-phase portraits","year":2013,"lang":"en","type":"article","venue":"American Journal of Physiology-Cell Physiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Population Health Research Institute","funders":"Canadian Institutes of Health Research","keywords":"Gating; Conductance; Phase portrait; Phase (matter); Phase space; Chaotic; Channel (broadcasting); Homogeneous; Physics; Materials science; Condensed matter physics; Statistical physics; Telecommunications; Computer science; Bifurcation; Quantum mechanics; Biophysics","score_opus":0.028011129665413727,"score_gpt":0.2565554600152491,"score_spread":0.22854433034983537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085830902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982593,0.0000278928,0.00007675256,0.00035680336,0.0008871422,0.00019987208,0.000030749092,0.000022848639,0.00013862469],"genre_scores_gemma":[0.9973845,0.00006278678,0.0007506838,0.0012342841,0.00045146738,0.000010434806,0.000012739741,0.000033314973,0.000059810067],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974392,0.0004982218,0.000893944,0.0004741254,0.00021635117,0.0004781452],"domain_scores_gemma":[0.99642956,0.00073266955,0.0020779106,0.00034632735,0.00023562838,0.00017788245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001427842,0.00029507282,0.0009452516,0.00015913005,0.00010153631,0.000016030082,0.0005765436,0.00008997826,0.00042540734],"category_scores_gemma":[0.00024721996,0.00023133321,0.0003143251,0.00040032645,0.0007986645,0.0002959067,0.00012669463,0.0004747675,0.00006219804],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024438006,0.00039499818,0.00003193613,0.0000157553,0.000029294839,0.000005878399,0.00012315057,0.00082359544,0.99235904,0.00009031702,0.00047093583,0.0054107155],"study_design_scores_gemma":[0.0023575423,0.007093018,0.024246147,0.000053983604,0.000054883916,0.000054646043,0.00044961757,0.0060589365,0.9439326,0.01507351,0.00020929646,0.0004157992],"about_ca_topic_score_codex":0.00022983617,"about_ca_topic_score_gemma":0.0000011220517,"teacher_disagreement_score":0.048426423,"about_ca_system_score_codex":0.00002902838,"about_ca_system_score_gemma":0.00007598386,"threshold_uncertainty_score":0.9433494},"labels":[],"label_agreement":null},{"id":"W2085886868","doi":"10.3389/fnint.2014.00090","title":"Somatotopic organization of ferret thalamus","year":2014,"lang":"en","type":"article","venue":"Frontiers in Integrative Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Institut Universitaire en Santé Mentale de Québec","funders":"Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México; Canadian Institutes of Health Research","keywords":"Thalamus; Anatomy; Forelimb; Neuroscience; Stimulation; Biology; Somatosensory system","score_opus":0.01355324095989563,"score_gpt":0.23370168426517715,"score_spread":0.22014844330528152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085886868","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8810842,0.0000043672003,0.11268956,0.00025087257,0.002890846,0.00020808457,0.00000662547,0.00004954856,0.00281591],"genre_scores_gemma":[0.9980113,0.000027131526,0.0007230136,0.00073949026,0.000023704477,0.0000073139013,0.0000013079388,0.000012824593,0.00045389493],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985119,0.00021346644,0.0002621625,0.00048764815,0.0002934051,0.00023138711],"domain_scores_gemma":[0.9993813,0.0001166332,0.00015109379,0.00023398011,0.00006529146,0.000051706786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017469794,0.00014663626,0.00020976411,0.00023224486,0.000103083614,0.000042313495,0.00041134076,0.000049181952,0.000011636963],"category_scores_gemma":[0.0031554839,0.0001156664,0.000036600937,0.0013823385,0.00035675467,0.00032590143,0.00006934526,0.00018925972,0.0000042713923],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006107346,0.000082845036,0.19053432,0.0000124465505,3.3835434e-7,0.0000049352434,0.0003413526,0.00026677188,0.7831127,0.021187102,0.00074775715,0.0037033455],"study_design_scores_gemma":[0.00045052654,0.00023418288,0.1581422,0.000056322697,0.0000040899417,0.000022329501,0.00019837116,0.10166155,0.72898006,0.008119822,0.0018525261,0.00027801163],"about_ca_topic_score_codex":0.000010785061,"about_ca_topic_score_gemma":0.0000029255143,"teacher_disagreement_score":0.11692714,"about_ca_system_score_codex":0.00004535051,"about_ca_system_score_gemma":0.000034877332,"threshold_uncertainty_score":0.4716739},"labels":[],"label_agreement":null},{"id":"W2085980097","doi":"10.1142/s0219635212500021","title":"Serial pattern learning during skilled walking","year":2012,"lang":"en","type":"article","venue":"Journal of Integrative Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Motor learning; Task (project management); Engram; Dreyfus model of skill acquisition; Computer science; Movement (music); Modalities; Motor skill; Session (web analytics); Cognitive psychology; Implicit learning; Natural (archaeology); Psychology; Motor behavior; Neuroscience; Biology","score_opus":0.02128783682633072,"score_gpt":0.27236668184245927,"score_spread":0.25107884501612854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085980097","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903883,0.000017607232,0.004537841,0.00023439669,0.004056366,0.00007928557,0.0000016674068,0.000024781908,0.000659766],"genre_scores_gemma":[0.9982125,0.00006129189,0.00008310706,0.0006073126,0.00050263584,0.0000016598641,1.0055839e-7,0.000015120032,0.0005162483],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99805135,0.00031330835,0.00042541695,0.0002281431,0.00055708794,0.0004247101],"domain_scores_gemma":[0.99873567,0.0002786532,0.0005671172,0.000106301144,0.00012166164,0.00019059207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000498194,0.00018466492,0.00023958637,0.00021017969,0.00035770552,0.00013550911,0.00038092912,0.000041110052,0.00003483756],"category_scores_gemma":[0.0036375816,0.00011903882,0.00015048898,0.00048255755,0.00016268229,0.0013450735,0.00009573209,0.0007004263,0.0000108911],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004881398,0.00006983019,0.004655225,0.0000043708374,8.1825885e-7,0.00003719342,0.0006688233,0.0002042019,0.99081886,0.00021915043,0.000031573618,0.0032411683],"study_design_scores_gemma":[0.00070852,0.0007104506,0.058860485,0.00011002068,0.000013309816,0.0012505004,0.00048200306,0.0029228756,0.93268114,0.00013635305,0.0018430346,0.00028131448],"about_ca_topic_score_codex":0.0000029814269,"about_ca_topic_score_gemma":0.0000013330917,"teacher_disagreement_score":0.058137696,"about_ca_system_score_codex":0.000078823716,"about_ca_system_score_gemma":0.000040783307,"threshold_uncertainty_score":0.48542622},"labels":[],"label_agreement":null},{"id":"W2086321139","doi":"10.7868/s0044467713010139","title":"Local Origin of Slow EEG Waves during Sleep","year":2013,"lang":"ru","type":"review","venue":"Журнал высшей нервной деятельности им И П Павлова","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Institute of Neurological Disorders and Stroke; Canadian Institutes of Health Research","keywords":"Neuroscience; Bursting; Somatosensory system; Electroencephalography; Cortex (anatomy); Neuron; CATS; Sleep (system call); Slow-wave sleep; Physics; Biology; Medicine; Computer science","score_opus":0.040234623512884544,"score_gpt":0.28435619013659064,"score_spread":0.2441215666237061,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086321139","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1533772,0.78426856,0.003182999,0.0014516343,0.024752405,0.0134081235,0.0019405368,0.0013067599,0.016311781],"genre_scores_gemma":[0.124811135,0.83891654,0.0005115551,0.00073077733,0.001591368,0.0004986258,0.00031488418,0.000766647,0.031858478],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.98508716,0.0014116319,0.004241282,0.003921872,0.00248693,0.0028511402],"domain_scores_gemma":[0.9905136,0.0015122959,0.00311766,0.003170426,0.00056621747,0.0011197898],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.0010236392,0.0029554255,0.00540212,0.0013907701,0.0010141623,0.0005980794,0.0029103255,0.0017860056,0.0044099344],"category_scores_gemma":[0.00089782744,0.0025843962,0.002523614,0.0029033995,0.001473717,0.0012503822,0.0012651834,0.0031789474,0.0047121597],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002965032,0.0015928186,0.00022917263,0.037961397,0.0006669989,0.0007171232,0.0004462884,0.00070169964,0.062489703,0.0059713554,0.0062809694,0.88264596],"study_design_scores_gemma":[0.0043198136,0.0019455006,0.0022456716,0.018642623,0.002594931,0.0016875537,0.00027263345,0.015617215,0.020629536,0.0010149898,0.9241022,0.0069273636],"about_ca_topic_score_codex":0.00045935964,"about_ca_topic_score_gemma":0.00007177141,"teacher_disagreement_score":0.9178212,"about_ca_system_score_codex":0.0008902584,"about_ca_system_score_gemma":0.0007256193,"threshold_uncertainty_score":0.9995099},"labels":[],"label_agreement":null},{"id":"W2086957756","doi":"10.1006/brcg.1999.1182","title":"Toward a Biological Account of Music Experience","year":2000,"lang":"en","type":"article","venue":"Brain and Cognition","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Institut Universitaire de Gériatrie de Montréal","funders":"","keywords":"Psychology; Support vector machine; Auditory cortex; Perception; Speech recognition; Pattern recognition (psychology); Tonality; Cognition; Cognitive psychology; Rhythm; Naive Bayes classifier; Artificial intelligence; Computer science; Musical; Neuroscience","score_opus":0.07493087232682503,"score_gpt":0.26710431627648656,"score_spread":0.19217344394966152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086957756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935899,0.000012278368,0.00008585451,0.00039347867,0.00006120031,0.00009409902,0.000010821288,0.000029760202,0.0057226554],"genre_scores_gemma":[0.9970432,0.00009488978,0.000020969701,0.0025736163,0.00003462741,0.000013230001,0.000004792734,0.000003092368,0.00021160912],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994944,0.000038998893,0.000097999815,0.00018985334,0.00008572271,0.00009305725],"domain_scores_gemma":[0.99976975,0.000109291526,0.00002741553,0.000051649804,0.000012771139,0.000029127961],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004737554,0.00005736139,0.00006773378,0.00002529129,0.00005496911,0.000017826993,0.00004393741,0.00003626608,0.00060545065],"category_scores_gemma":[0.00012373478,0.000045164124,0.000023368064,0.000110753805,0.00010976104,0.0000955951,0.000013207033,0.000043546002,0.000022637782],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080697675,0.0000590499,0.0000786353,0.000009247712,8.5497237e-7,0.0000069807656,0.00037795707,0.0000013105208,0.8432333,0.0022217233,0.00016486167,0.15376538],"study_design_scores_gemma":[0.0038463292,0.0022381486,0.074602485,0.00020852321,0.00003321998,0.00055568246,0.001463486,0.012112489,0.79815114,0.065576576,0.040042754,0.001169191],"about_ca_topic_score_codex":0.0000056280387,"about_ca_topic_score_gemma":0.0000010183771,"teacher_disagreement_score":0.15259619,"about_ca_system_score_codex":0.0000035624096,"about_ca_system_score_gemma":0.000004591256,"threshold_uncertainty_score":0.662926},"labels":[],"label_agreement":null},{"id":"W2087076820","doi":"10.3389/fncom.2014.00090","title":"Spike-timing prediction in cortical neurons with active dendrites","year":2014,"lang":"en","type":"article","venue":"Frontiers in Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Wilfrid Laurier University","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; European Commission","keywords":"Soma; Apical dendrite; Tuft; Compartment (ship); Neuroscience; Dendrite (mathematics); Electrophysiology; Spike (software development); Pyramidal cell; Impulse (physics); Physics; Biological system; Computer science; Biology; Mathematics; Geology","score_opus":0.020884619104409054,"score_gpt":0.24366228604403428,"score_spread":0.22277766693962522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087076820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81217223,0.0000021562366,0.18497227,0.0005698429,0.0014040729,0.00023645844,0.00001482734,0.00006087169,0.0005672936],"genre_scores_gemma":[0.9944457,0.0000036943995,0.0038595386,0.0015243271,0.000041150357,0.000019801537,0.000004441901,0.00001487862,0.0000864745],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99790996,0.00023579848,0.00026897638,0.00071506656,0.0005150625,0.0003551159],"domain_scores_gemma":[0.9992174,0.000433032,0.000091008515,0.00013681197,0.000030978244,0.00009077665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002009158,0.00015770561,0.00016856354,0.00035359216,0.00019575108,0.00008345965,0.00026477882,0.00004232337,0.0000044947597],"category_scores_gemma":[0.00088598614,0.00014517836,0.0000288103,0.0010535892,0.00032290962,0.00050686754,0.00006524935,0.0003714659,0.000005198004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026066345,0.00033733534,0.10839952,0.000018234552,8.5383266e-7,0.000102046564,0.0001893668,0.8097072,0.0596953,0.009037743,0.00042990234,0.011821839],"study_design_scores_gemma":[0.00040223077,0.00020713934,0.27077276,0.000019972887,0.0000018868085,0.00004221452,0.000018035009,0.724088,0.0010737593,0.0029915445,0.00026590057,0.00011656187],"about_ca_topic_score_codex":0.000007988483,"about_ca_topic_score_gemma":0.000010260014,"teacher_disagreement_score":0.18227348,"about_ca_system_score_codex":0.000083016246,"about_ca_system_score_gemma":0.00006198991,"threshold_uncertainty_score":0.5920202},"labels":[],"label_agreement":null},{"id":"W2087178896","doi":"10.1016/j.cogdev.2010.02.003","title":"Kind matters: A reply to Samuelson and Perone","year":2010,"lang":"en","type":"article","venue":"Cognitive Development","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Psychology; Feed forward; Miller; Cognitive science; Integrator; Neural system; Orientation (vector space); Neuroscience; Cognitive psychology; Computer science; Control engineering","score_opus":0.027891763674492816,"score_gpt":0.26128374609276844,"score_spread":0.23339198241827563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087178896","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99363655,0.0000024943886,0.0007161397,0.003548998,0.000424644,0.00027400456,0.000007987606,0.000041887797,0.0013472823],"genre_scores_gemma":[0.9708959,0.0000034162385,0.0010977589,0.026832774,0.000042775984,0.000043642514,0.0000045097063,0.000012838922,0.0010664269],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990977,0.00002325955,0.00012861863,0.000397443,0.00015688836,0.00019606025],"domain_scores_gemma":[0.999588,0.0001296784,0.0000347217,0.00007661847,0.000050266546,0.000120714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000116300085,0.00011149856,0.00008774467,0.00007950171,0.00015891744,0.00007101612,0.00006607958,0.000028453369,0.00011199236],"category_scores_gemma":[0.00037369088,0.00009997452,0.00001310684,0.00013219115,0.000052726806,0.000088195884,0.000104258994,0.00014733987,0.000257537],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056168927,0.000046611178,0.0009429136,0.000010771525,0.000003991697,0.00002499435,0.0009009337,1.4342447e-7,0.86330396,0.0002459442,0.0009663592,0.13349724],"study_design_scores_gemma":[0.00060625584,0.00012563441,0.16736415,0.00006730226,0.000008242678,0.00008176281,0.0001661804,0.00007835129,0.7160246,0.00026801418,0.11481727,0.00039228064],"about_ca_topic_score_codex":0.0000047397134,"about_ca_topic_score_gemma":0.000017986464,"teacher_disagreement_score":0.16642123,"about_ca_system_score_codex":0.00001658488,"about_ca_system_score_gemma":0.000033731,"threshold_uncertainty_score":0.40768424},"labels":[],"label_agreement":null},{"id":"W2087590333","doi":"10.1016/j.brainres.2014.05.043","title":"Age-related differences in working memory evoked gamma oscillations","year":2014,"lang":"en","type":"article","venue":"Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"Ontario Ministry of Research and Innovation; Canadian Institutes of Health Research; National Alliance for Research on Schizophrenia and Depression; Pfizer","keywords":"Working memory; Electroencephalography; Audiology; Psychology; Young adult; Working population; Medicine; Population; Cognition; Developmental psychology; Neuroscience","score_opus":0.14594238421069258,"score_gpt":0.35310069472639993,"score_spread":0.20715831051570735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087590333","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9463496,0.00001341596,0.00006463765,0.005685893,0.00030124048,0.00033302556,0.0000015426376,0.00007497622,0.047175642],"genre_scores_gemma":[0.98651814,0.000016974385,0.000028953556,0.0002917623,0.00008625892,0.00003271209,0.0000031477718,0.000017212618,0.013004829],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.996855,0.0011318341,0.0002519358,0.0005022225,0.00071055966,0.0005484156],"domain_scores_gemma":[0.9963299,0.0031658928,0.000042289572,0.0003110274,0.00004627681,0.00010459833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018695577,0.00010976866,0.00015975843,0.0004928907,0.00034919573,0.0001639781,0.00036484955,0.000097778146,0.00016469813],"category_scores_gemma":[0.004777572,0.00009477646,0.000046803092,0.0014209697,0.0003026925,0.000115742725,0.00016390954,0.00061360403,0.00017520711],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009492759,0.00020856918,0.019787585,0.000039530674,0.000005804781,0.00013057391,0.0010867512,0.00035772412,0.821681,0.07220488,0.0036176117,0.08078504],"study_design_scores_gemma":[0.0026880994,0.0006605303,0.4923322,0.0003317844,0.0000050623444,0.000041947027,0.00045556208,0.33881304,0.015973784,0.1269127,0.020920161,0.0008651329],"about_ca_topic_score_codex":0.00010333109,"about_ca_topic_score_gemma":0.00019957524,"teacher_disagreement_score":0.8057072,"about_ca_system_score_codex":0.00007025353,"about_ca_system_score_gemma":0.00004347256,"threshold_uncertainty_score":0.57195455},"labels":[],"label_agreement":null},{"id":"W2087848166","doi":"10.1016/s1472-9288(01)00004-8","title":"Contribution of intrinsic and synaptic factors in the desynchronization of thalamic oscillatory activity","year":2001,"lang":"en","type":"article","venue":"Thalamus & Related Systems","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Medical Research Council; Savoy Foundation","keywords":"Neuroscience; Depolarization; Thalamic reticular nucleus; Reticular connective tissue; Bursting; Hyperpolarization (physics); Thalamus; Cortex (anatomy); Long-term potentiation; Biology; Physics; Anatomy; Biophysics; Nuclear magnetic resonance","score_opus":0.017721539733736937,"score_gpt":0.23112807213450007,"score_spread":0.21340653240076313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087848166","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99839276,0.00017558101,0.00012702745,0.000046946825,0.0003609072,0.00049939845,0.000007177076,0.000027251797,0.00036297907],"genre_scores_gemma":[0.99977404,0.00015820721,4.921891e-7,0.000007443446,0.00001220902,0.0000068454456,0.000004557877,0.000009918442,0.00002628949],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99851656,0.00045806015,0.00035464225,0.00023396233,0.00026064418,0.00017613223],"domain_scores_gemma":[0.9989526,0.0004310456,0.00031676464,0.00021478305,0.00005944423,0.00002535165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048103684,0.00012407415,0.0002529694,0.00014565952,0.000069877235,0.00002009052,0.00012509787,0.0001298149,0.000004117956],"category_scores_gemma":[0.00034474395,0.000086369284,0.000040715506,0.0005923814,0.00013527196,0.00016854596,0.00002750997,0.0001882519,0.0000021634655],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007867213,0.0001489212,0.16114089,0.00010884134,0.000022346723,0.000024105666,0.001062068,0.0014833347,0.82158333,0.012980193,0.000005107117,0.0013621915],"study_design_scores_gemma":[0.0022125526,0.00068278663,0.8282932,0.00042097,0.00009311183,0.00048600882,0.000887051,0.09485404,0.07037436,0.0011734569,0.0000962267,0.00042622947],"about_ca_topic_score_codex":0.00022670676,"about_ca_topic_score_gemma":0.000020420768,"teacher_disagreement_score":0.75120896,"about_ca_system_score_codex":0.000071780276,"about_ca_system_score_gemma":0.000025359943,"threshold_uncertainty_score":0.35220373},"labels":[],"label_agreement":null},{"id":"W2087934234","doi":"10.1037/a0015385","title":"Modeling performance at the trial level within a diffusion framework: A simple yet powerful method for increasing efficiency via error detection and correction.","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick; University of Toronto","funders":"","keywords":"Computer science; Task (project management); Context (archaeology); Process (computing); Binary number; Error detection and correction; Diffusion; Simple (philosophy); Artificial intelligence; Machine learning; Algorithm; Arithmetic; Mathematics","score_opus":0.07066695442567318,"score_gpt":0.3425809967205009,"score_spread":0.27191404229482774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087934234","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96094084,0.00033580814,0.030825699,0.0009487111,0.0058497824,0.0008000903,0.00003329082,0.00002282339,0.0002429612],"genre_scores_gemma":[0.99338466,0.000017616285,0.0021449367,0.0039660004,0.00028789416,0.000032715718,0.0000058731807,0.000036325022,0.00012395789],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99730414,0.0003179856,0.0006835612,0.0006745666,0.00011969695,0.0009000185],"domain_scores_gemma":[0.9980955,0.00031835356,0.00041183998,0.0003948155,0.000076707314,0.0007027989],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013318826,0.00032669987,0.0003617685,0.00037578674,0.00095902645,0.000098418044,0.0004741389,0.00024800084,0.00006038581],"category_scores_gemma":[0.0006874677,0.00027939558,0.0001802858,0.00037661713,0.00023393074,0.00027159674,0.00003308234,0.00057723094,0.000004471464],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0074718315,0.00021200215,0.00025881323,0.0000060165303,0.000018378867,0.00006623559,0.0028204264,0.0020976854,0.9746613,0.0001021509,0.0005464699,0.011738717],"study_design_scores_gemma":[0.034005214,0.020086741,0.0062551415,0.00031550604,0.00015335539,0.020859737,0.006742568,0.57672703,0.32555702,0.006063472,0.0015740418,0.0016602034],"about_ca_topic_score_codex":0.0020389154,"about_ca_topic_score_gemma":0.01028192,"teacher_disagreement_score":0.64910424,"about_ca_system_score_codex":0.0009932027,"about_ca_system_score_gemma":0.0001474813,"threshold_uncertainty_score":0.99996585},"labels":[],"label_agreement":null},{"id":"W2088128583","doi":"10.1016/s0378-5955(02)00329-5","title":"Comparison between local field potentials and unit cluster activity in primary auditory cortex and anterior auditory field in the cat","year":2002,"lang":"en","type":"article","venue":"Hearing Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":79,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Local field potential; Auditory cortex; Octave (electronics); Physics; Electrophysiology; Neuroscience; Nuclear magnetic resonance; Acoustics; Psychology","score_opus":0.14716067925130372,"score_gpt":0.3808847816415336,"score_spread":0.2337241023902299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088128583","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957045,0.00004199565,0.0001215116,0.002765968,0.00020893142,0.0002850424,0.0000018785403,0.000011771841,0.00085841585],"genre_scores_gemma":[0.998832,0.00012921836,0.000007731351,0.00051161286,0.00017835292,0.000014756118,4.6697338e-7,0.000008118541,0.00031773973],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99815494,0.00057866663,0.00017486094,0.00034652764,0.00039805393,0.00034694167],"domain_scores_gemma":[0.9971464,0.0025455186,0.000030830313,0.00019987195,0.000018565726,0.000058801255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010226233,0.000089948124,0.0001786775,0.00019931463,0.00020487154,0.00011513962,0.00016664974,0.00010572628,0.000028182332],"category_scores_gemma":[0.00038876515,0.0000714389,0.000018516435,0.00027194488,0.00017248704,0.00016298915,0.00024754048,0.00076017936,0.000009934085],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026569562,0.00027567885,0.40620434,0.00025805473,0.0000050108497,0.00014827412,0.0013189979,0.00003556742,0.4508084,0.00003276283,0.006823365,0.13382386],"study_design_scores_gemma":[0.0004118183,0.0003776095,0.9748657,0.00008552326,0.000002109908,0.000014522725,0.00010345021,0.017676322,0.005466143,0.00008924104,0.00080240215,0.0001051602],"about_ca_topic_score_codex":0.0005363443,"about_ca_topic_score_gemma":0.00027186607,"teacher_disagreement_score":0.5686614,"about_ca_system_score_codex":0.00005381617,"about_ca_system_score_gemma":0.000018337007,"threshold_uncertainty_score":0.33026433},"labels":[],"label_agreement":null},{"id":"W2088150652","doi":"10.1016/j.jtbi.2009.01.028","title":"Samuel Butler and human long term memory: Is the cupboard bare?","year":2009,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"University of Cambridge","keywords":"Information storage; Neuroscience; Cognitive science; Heredity; Computer science; Field (mathematics); Psychology; Biology; Genetics; Information retrieval","score_opus":0.019472157753087468,"score_gpt":0.2926784909186303,"score_spread":0.2732063331655428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088150652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97819793,0.000050223258,0.00028037254,0.019165574,0.00032956162,0.00006277834,0.0000036388722,0.0000073967235,0.0019025004],"genre_scores_gemma":[0.99186313,0.000063790256,0.000028904484,0.007748635,0.00021548587,3.3804596e-7,3.3253954e-7,0.0000047010635,0.00007469951],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991239,0.0001932822,0.0002471276,0.00014932611,0.00010363263,0.00018274254],"domain_scores_gemma":[0.99932414,0.00032709743,0.000098951416,0.00013031079,0.000038605867,0.00008089246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033707957,0.00009496997,0.0001750301,0.000052117524,0.0001407175,0.0000411943,0.00023807358,0.00007826786,0.00020711942],"category_scores_gemma":[0.000359127,0.000048190224,0.0000909683,0.000072340255,0.000664557,0.000056990488,0.00004715996,0.00030126827,0.000008285616],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006868501,0.00003450492,0.0009017678,0.0000018108369,0.0000045519278,0.000021162303,0.00003832399,5.2274964e-7,0.48539883,0.5065679,0.00040554255,0.0065563833],"study_design_scores_gemma":[0.00094713917,0.0027130325,0.052761935,0.000037054728,0.00006243644,0.0012900889,0.00002932916,0.00024090579,0.1448298,0.7954149,0.0014359417,0.0002374211],"about_ca_topic_score_codex":4.918816e-7,"about_ca_topic_score_gemma":2.4517738e-7,"teacher_disagreement_score":0.34056905,"about_ca_system_score_codex":0.00001305737,"about_ca_system_score_gemma":0.000009599464,"threshold_uncertainty_score":0.24485879},"labels":[],"label_agreement":null},{"id":"W2088220563","doi":"10.3389/fpsyg.2014.01348","title":"Our computational nature: comment on Barrett et al.","year":2014,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Psychology; Cognitive science; Cognitive psychology; Neuroscience","score_opus":0.02108069926149969,"score_gpt":0.32342237133493495,"score_spread":0.30234167207343526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088220563","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04425948,0.00007310835,0.21794938,0.68527406,0.030333007,0.0004424912,0.000028021635,0.00014150707,0.021498965],"genre_scores_gemma":[0.5772353,0.000017606544,0.0022383311,0.42039147,0.00003557295,0.000008754851,0.000010135159,0.000009663704,0.00005317998],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99881685,0.00026871735,0.00015119647,0.00040701492,0.0001583623,0.00019785628],"domain_scores_gemma":[0.99961066,0.00008778817,0.0000561864,0.00019087082,0.000010749082,0.000043733344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002468727,0.00010365947,0.00013050268,0.00015319586,0.000053595002,0.000017185803,0.00018713964,0.00010156846,0.000011193484],"category_scores_gemma":[0.00014512445,0.00009643696,0.000036533223,0.00016723758,0.00004012115,0.000048888884,0.000024648274,0.00047268113,0.00004427806],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009525318,0.00011824521,0.0026074487,0.0000015952144,0.0000023251796,0.000008116045,0.000018728284,0.0007377683,0.000910855,0.018279484,0.96240324,0.014816961],"study_design_scores_gemma":[0.0015637442,0.0004370736,0.018461872,0.000013645586,0.0000024446342,0.00002617363,0.000021781729,0.04870802,0.00034311775,0.10737544,0.8228213,0.00022537827],"about_ca_topic_score_codex":0.000001402797,"about_ca_topic_score_gemma":9.523376e-7,"teacher_disagreement_score":0.5329758,"about_ca_system_score_codex":0.000028513186,"about_ca_system_score_gemma":0.0000063727093,"threshold_uncertainty_score":0.3932585},"labels":[],"label_agreement":null},{"id":"W2088472471","doi":"10.1016/j.bbr.2010.04.033","title":"Learning-induced alterations in prefrontal cortical dendritic morphology","year":2010,"lang":"en","type":"article","venue":"Behavioural Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Neuroscience; Prefrontal cortex; Psychology; Dendritic spine; Orbitofrontal cortex; Cortex (anatomy); Somatosensory system; Lateralization of brain function; Cognition; Hippocampal formation","score_opus":0.13020593333518468,"score_gpt":0.38999257016353106,"score_spread":0.25978663682834635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088472471","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99373823,0.0000016969203,0.000012579525,0.0041514197,0.00053544977,0.00041312232,0.000007765102,0.00006579869,0.0010739375],"genre_scores_gemma":[0.99625397,0.0000019183854,0.000060621707,0.00028486454,0.000088873225,0.000095260846,0.00001504962,0.000024465626,0.0031749792],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9970015,0.00084971497,0.00027557352,0.0005626458,0.0005804567,0.00073006743],"domain_scores_gemma":[0.99808824,0.0013242093,0.000030645384,0.00027991258,0.000089460584,0.00018753538],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0010103707,0.00013070341,0.0001507045,0.0003426649,0.00046111454,0.0001480532,0.00033742038,0.0001721907,0.00045530277],"category_scores_gemma":[0.0044992976,0.00012213833,0.000056957804,0.00055578275,0.00030634896,0.00021841076,0.0001849636,0.0028785444,0.00026718233],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004085769,0.0001567596,0.018779032,0.0000028071265,5.334983e-7,0.000227716,0.00011679438,0.000006409302,0.9737173,0.005078604,0.00023167048,0.0016415628],"study_design_scores_gemma":[0.0014632302,0.0014701709,0.733009,0.000021849864,0.0000058516243,0.00062007917,0.0002633955,0.01423892,0.2461008,0.0016819893,0.0006776106,0.00044708964],"about_ca_topic_score_codex":0.0004629149,"about_ca_topic_score_gemma":0.0013360246,"teacher_disagreement_score":0.7276164,"about_ca_system_score_codex":0.00007416387,"about_ca_system_score_gemma":0.000094154195,"threshold_uncertainty_score":0.99942183},"labels":[],"label_agreement":null},{"id":"W2088547573","doi":"10.1523/jneurosci.0086-11.2011","title":"Large-Scale Heterogeneous Representation of Sound Attributes in Rat Primary Auditory Cortex: From Unit Activity to Population Dynamics","year":2011,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Aging","funders":"Japan Society for the Promotion of Science; Institut National de la Santé et de la Recherche Médicale","keywords":"Auditory cortex; Representation (politics); Sound (geography); Dynamics (music); Neuroscience; Population; Scale (ratio); Unit (ring theory); Psychology; Communication; Audiology; Geography; Medicine; Acoustics; Cartography; Physics","score_opus":0.06110900933942228,"score_gpt":0.2878177475380497,"score_spread":0.22670873819862739,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088547573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99133456,0.0000043150776,0.0061136927,0.00011159909,0.0021677117,0.00015391002,0.000043062955,0.000011056013,0.00006009631],"genre_scores_gemma":[0.999198,0.000023992265,0.000219155,0.00041686953,0.00007657224,0.0000016769411,0.000002333648,0.000011262519,0.000050107785],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9981875,0.00021268715,0.00047808327,0.00033928466,0.00055033655,0.00023210145],"domain_scores_gemma":[0.9987331,0.00021141523,0.00061251724,0.0002292979,0.000096905766,0.00011678916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028052338,0.00012483596,0.00026251827,0.00027241957,0.000101837024,0.00004035047,0.00036378874,0.00005313625,0.0000094032575],"category_scores_gemma":[0.0006322792,0.00011371979,0.00009103864,0.00077040563,0.000084531246,0.00070777844,0.00011069225,0.00023697718,0.0000023695468],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020391797,0.00023034218,0.052043624,0.0000067353185,7.064211e-7,0.000060589846,0.00019916413,0.0016212363,0.94470185,0.000041904626,0.000018660268,0.00087127415],"study_design_scores_gemma":[0.00035873408,0.00046113555,0.8890758,0.000029093759,0.0000095930245,0.00008395586,0.000035029534,0.022352653,0.08604971,0.0013871024,0.000033014723,0.00012413925],"about_ca_topic_score_codex":0.00008087103,"about_ca_topic_score_gemma":0.00018897421,"teacher_disagreement_score":0.8586521,"about_ca_system_score_codex":0.000116223906,"about_ca_system_score_gemma":0.00004740426,"threshold_uncertainty_score":0.46373585},"labels":[],"label_agreement":null},{"id":"W2088790429","doi":"10.1167/5.8.487","title":"Symmetry perception: a high-density ERP approach","year":2010,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Stimulus (psychology); Symmetry (geometry); Perception; Psychology; Pattern recognition (psychology); Reflection symmetry; Computer science; Artificial intelligence; Physics; Mathematics; Cognitive psychology; Neuroscience; Geometry","score_opus":0.01630435061190991,"score_gpt":0.26658067488520004,"score_spread":0.2502763242732901,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088790429","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949081,0.0000029834273,0.0013929006,0.00073031685,0.0018598802,0.000048198403,0.0000012195459,0.000013532569,0.0010429004],"genre_scores_gemma":[0.99660426,0.000021676584,0.0021285412,0.0004838812,0.00050146494,2.5189564e-7,5.0410705e-7,0.000008569666,0.0002508735],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990614,0.000062558815,0.0002389916,0.00014625854,0.0003747128,0.000116091775],"domain_scores_gemma":[0.9993755,0.00008246673,0.00022164854,0.00014213996,0.00008652018,0.00009172455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003641564,0.0000795161,0.0001365035,0.000120238394,0.0001244395,0.000068631525,0.00016756846,0.000074000825,0.00009008956],"category_scores_gemma":[0.00029467343,0.000056030927,0.00010266016,0.00017890756,0.00004800033,0.0003047698,0.000044761928,0.0005323574,0.000033555138],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005716641,0.00011684751,0.00018300898,0.000005499267,0.0000012764878,0.000020228625,0.000028584724,0.000011626184,0.98058134,0.0012650992,0.0011745676,0.01655476],"study_design_scores_gemma":[0.0027075773,0.0026284636,0.82794625,0.000100665624,0.0000763066,0.005886005,0.00018878587,0.029160216,0.10519737,0.01298876,0.012496329,0.0006232647],"about_ca_topic_score_codex":0.000005417248,"about_ca_topic_score_gemma":0.0000015372094,"teacher_disagreement_score":0.875384,"about_ca_system_score_codex":0.000021777809,"about_ca_system_score_gemma":0.00001977495,"threshold_uncertainty_score":0.23128574},"labels":[],"label_agreement":null},{"id":"W2088848962","doi":"10.1016/j.ijpsycho.2015.02.012","title":"Slow cortical potentials and “inner time consciousness” — A neuro-phenomenal hypothesis about the “width of present”","year":2015,"lang":"en","type":"review","venue":"International Journal of Psychophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mental Health Research Canada","funders":"Canadian Institutes of Health Research","keywords":"Consciousness; Psychology; Neuroscience","score_opus":0.06093758181396986,"score_gpt":0.3403314369306242,"score_spread":0.2793938551166543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088848962","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021024296,0.95675975,0.0003072418,0.0039062756,0.014708527,0.0012085012,0.0005706655,0.000035578018,0.0014791341],"genre_scores_gemma":[0.006775299,0.9905167,0.00008903037,0.0007221548,0.0013670143,0.000010884964,0.000008010209,0.00004033271,0.00047053274],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99710214,0.0007231445,0.0010509047,0.0003274284,0.0005937848,0.00020262336],"domain_scores_gemma":[0.99591964,0.0018305475,0.0015298049,0.00022112587,0.00038751215,0.000111367575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004183597,0.00026991623,0.0010423121,0.00026596079,0.000059056652,0.000059916954,0.00093550346,0.00015216086,0.00010886435],"category_scores_gemma":[0.0009134978,0.00015554228,0.0004279337,0.00015876147,0.00046012242,0.000119193726,0.0001648489,0.0005426003,0.000039072307],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061102817,0.0003946016,0.0000050533886,0.0004456699,0.00057618663,0.00020095032,0.00007070411,0.00005291594,0.059928745,0.0013863713,0.009697672,0.9266301],"study_design_scores_gemma":[0.0012976194,0.0009523784,0.00022261684,0.0014979184,0.0006344525,0.0033909,0.000011547755,0.00051184144,0.00014531206,0.017089559,0.9738287,0.00041716156],"about_ca_topic_score_codex":0.0000034622078,"about_ca_topic_score_gemma":2.7783278e-7,"teacher_disagreement_score":0.964131,"about_ca_system_score_codex":0.000044848595,"about_ca_system_score_gemma":0.00016995263,"threshold_uncertainty_score":0.634283},"labels":[],"label_agreement":null},{"id":"W2088923076","doi":"10.1016/j.heares.2010.10.019","title":"A lateralized auditory evoked potential elicited when auditory objects are defined by spatial motion","year":2010,"lang":"en","type":"article","venue":"Hearing Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Psychology; Auditory scene analysis; Perception; Communication; Segmentation; Motion (physics); Mismatch negativity; Sound localization; Motion perception; Visual Objects; Neuroscience; Computer vision; Computer science; Electroencephalography","score_opus":0.05213518983921132,"score_gpt":0.31717674491609166,"score_spread":0.2650415550768803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088923076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923497,0.000006998064,0.00028035286,0.0015708413,0.004188247,0.00043224546,0.000023726829,0.00019616615,0.0009517668],"genre_scores_gemma":[0.9935358,0.000014800067,0.00008410773,0.00022934594,0.0015405337,0.000055042197,0.000021282902,0.0000458409,0.00447321],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9965942,0.00048692804,0.00026914736,0.00071599777,0.0011773751,0.0007563763],"domain_scores_gemma":[0.99860114,0.0004024974,0.00009321528,0.0004674277,0.00021283045,0.00022291891],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090195436,0.00018605508,0.00020394751,0.00034439148,0.00068649644,0.00027449476,0.00035590486,0.00022255164,0.00047171063],"category_scores_gemma":[0.0018325698,0.0001762671,0.00009140661,0.0003856801,0.00022926056,0.00026343967,0.00025944036,0.0014128587,0.00033159717],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015329677,0.00012913939,0.0005522236,0.000030863597,0.0000036627762,0.000044171396,0.00008570323,0.000029662573,0.98178303,0.00010260928,0.015267059,0.0018185575],"study_design_scores_gemma":[0.005435667,0.0008862673,0.17780876,0.0001986116,0.000027816113,0.00015439547,0.00010365579,0.12129816,0.64741194,0.010085469,0.03529818,0.0012910609],"about_ca_topic_score_codex":0.0010115313,"about_ca_topic_score_gemma":0.00023329942,"teacher_disagreement_score":0.3343711,"about_ca_system_score_codex":0.00011056417,"about_ca_system_score_gemma":0.00008442274,"threshold_uncertainty_score":0.7187964},"labels":[],"label_agreement":null},{"id":"W2088931985","doi":"10.1186/1471-2202-8-s2-p41","title":"Enhanced measured synchronization of unsynchronized sources: significance for brain recordings","year":2007,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Magnetoencephalography; Synchronization (alternating current); Electroencephalography; Neuroscience; Computer science; Brain activity and meditation; Phase synchronization; Premovement neuronal activity; Artificial intelligence; Pattern recognition (psychology); Psychology; Telecommunications","score_opus":0.04359694036398748,"score_gpt":0.28043408578245105,"score_spread":0.23683714541846357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088931985","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44043785,0.000008602445,0.5574225,0.0001357419,0.0009441464,0.0006095041,0.000015289064,0.00009370901,0.00033266842],"genre_scores_gemma":[0.996432,0.000011510288,0.0013106848,0.0011893001,0.000097993616,0.0000348094,0.0000022980375,0.000030843254,0.0008905829],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974237,0.00011054001,0.0005036804,0.0008592621,0.00055362284,0.0005492116],"domain_scores_gemma":[0.99772644,0.0012282259,0.00040329093,0.00036350937,0.00014883505,0.00012968182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010797166,0.00020847467,0.00025217165,0.0001855684,0.00031957316,0.00007456524,0.0005273374,0.00007408691,0.000012601594],"category_scores_gemma":[0.0059579476,0.00019746278,0.00012338742,0.001187681,0.0003743694,0.00038446632,0.00006537847,0.00012233478,0.0000054854577],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015641139,0.00006383403,0.00021925077,0.000059866583,3.726948e-7,0.0000015012283,0.00006871444,0.0008034477,0.991336,0.0021339895,0.00008806174,0.005068562],"study_design_scores_gemma":[0.00070041534,0.00037096493,0.0019746025,0.000033261404,0.0000070449328,0.000010295496,0.00003116852,0.039713178,0.9547373,0.00065194,0.0015313055,0.00023850673],"about_ca_topic_score_codex":0.000013371019,"about_ca_topic_score_gemma":0.000036082663,"teacher_disagreement_score":0.5561118,"about_ca_system_score_codex":0.00008108993,"about_ca_system_score_gemma":0.00014715774,"threshold_uncertainty_score":0.80522984},"labels":[],"label_agreement":null},{"id":"W2089057121","doi":"10.1523/jneurosci.0404-10.2010","title":"Frequency-Dependent Attentional Modulation of Local Field Potential Signals in Macaque Area MT","year":2010,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Local field potential; Macaque; Neuroscience; Stimulus (psychology); Receptive field; Physics; Modulation (music); Electrophysiology; Primate; Psychology; Acoustics","score_opus":0.02469152951117988,"score_gpt":0.26281881689250264,"score_spread":0.23812728738132277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089057121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.964843,0.0000028735249,0.031749513,0.00088050985,0.0022328307,0.00008850075,0.0000068097447,0.000006364434,0.00018960568],"genre_scores_gemma":[0.99885863,0.000016761927,0.0002032741,0.00072499935,0.00009307366,0.0000011875613,2.5366225e-7,0.0000071008744,0.00009471623],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99810135,0.00008822237,0.00057144644,0.0002625636,0.00076567265,0.00021072984],"domain_scores_gemma":[0.99896973,0.0001764524,0.0004913968,0.00014710394,0.000119640514,0.000095664174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003679125,0.0001102095,0.00018025964,0.00028594933,0.00007957244,0.00005124977,0.000413869,0.00007269833,0.000063766165],"category_scores_gemma":[0.0007031805,0.00009194601,0.000114809576,0.0004071065,0.00018038461,0.0005716887,0.00005945454,0.0005378744,0.0000024013004],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037653783,0.00011837792,0.0020158533,0.000005648814,3.956887e-7,0.000114501985,0.000011650955,0.0075959554,0.9875648,0.0008072079,0.000031883454,0.0016960391],"study_design_scores_gemma":[0.0009556292,0.0010459886,0.124289274,0.00006271525,0.000011669541,0.0015931085,0.00003583357,0.1895027,0.6733958,0.008779898,0.000078587764,0.0002488117],"about_ca_topic_score_codex":0.000015182758,"about_ca_topic_score_gemma":0.00002013549,"teacher_disagreement_score":0.31416905,"about_ca_system_score_codex":0.000024036115,"about_ca_system_score_gemma":0.00009834697,"threshold_uncertainty_score":0.37494493},"labels":[],"label_agreement":null},{"id":"W2089258527","doi":"10.1371/journal.pone.0079589","title":"A Distinct Boundary between the Higher Brain’s Susceptibility to Ischemia and the Lower Brain’s Resistance","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Queen's University; Heart and Stroke Foundation of Canada","keywords":"Thalamus; Neuroscience; Depolarization; Hypothalamus; Parvocellular cell; Brainstem; Biology; Premovement neuronal activity; Cortical spreading depression; Neuron; Internal medicine; Endocrinology; Medicine","score_opus":0.03610100465203043,"score_gpt":0.23387481870275642,"score_spread":0.197773814050726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089258527","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8632493,0.000031218795,0.000026748414,0.1317921,0.00010057449,0.0008100384,0.000024849996,0.00006382314,0.0039013654],"genre_scores_gemma":[0.96874124,0.0000049102473,0.00008316578,0.0122100655,0.00022863517,0.000113162525,0.0000027652452,0.000021111826,0.018594934],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983045,0.00022947269,0.00023157014,0.0005004869,0.00042177175,0.0003122245],"domain_scores_gemma":[0.99716437,0.001960159,0.000082572595,0.00061861315,0.00006240974,0.00011185187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045147166,0.00016824294,0.00021903825,0.00002318681,0.0004805365,0.00028183588,0.00036501998,0.000054486398,0.00027436216],"category_scores_gemma":[0.0015165708,0.00009089947,0.00005843251,0.00024655086,0.0005266395,0.00019225577,0.000216451,0.00029155554,0.00017921274],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052476814,0.00059875584,0.01379058,0.00014618893,0.00007919562,0.0000083157465,0.0006778665,7.212843e-7,0.8970247,0.0075328187,0.077170946,0.0024451623],"study_design_scores_gemma":[0.003266485,0.0005927248,0.79530925,0.0002682268,0.00019939034,0.000005019264,0.00007407513,0.0006637171,0.068981916,0.054864887,0.07469016,0.0010841265],"about_ca_topic_score_codex":0.000076474156,"about_ca_topic_score_gemma":0.00011734783,"teacher_disagreement_score":0.82804275,"about_ca_system_score_codex":0.00004578792,"about_ca_system_score_gemma":0.000022464676,"threshold_uncertainty_score":0.37067726},"labels":[],"label_agreement":null},{"id":"W2089282117","doi":"10.1097/00001756-200303030-00019","title":"Event-related potential evidence for attentional inhibition of return in audition","year":2003,"lang":"en","type":"article","venue":"Neuroreport","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Inhibition of return; Event-related potential; Psychology; Neuroscience; Mechanism (biology); Latency (audio); Electrophysiology; Neural correlates of consciousness; Perception; Auditory stimuli; Neural activity; Audiology; Cognition; Visual attention; Medicine; Computer science","score_opus":0.05267812538539826,"score_gpt":0.3014132055904018,"score_spread":0.24873508020500354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089282117","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960654,0.000008127863,0.0017948538,0.00036236635,0.00083605846,0.00040548074,0.000012338312,0.00003032708,0.00048505978],"genre_scores_gemma":[0.9991885,0.000016113952,0.000067655325,0.00021329382,0.000026540327,0.00003611994,0.000018607554,0.000013150834,0.0004200064],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998554,0.00011082382,0.00049456704,0.0003830578,0.00029030844,0.00016727883],"domain_scores_gemma":[0.9992886,0.00014880807,0.00030634075,0.00015279377,0.00006773156,0.000035713805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003329887,0.00009741744,0.00012489376,0.00012519595,0.00006601758,0.000015880154,0.000049840604,0.0000634556,0.000072106704],"category_scores_gemma":[0.0016196104,0.000096940574,0.00011154937,0.0003072492,0.000055306187,0.00031026473,0.000014927283,0.00012338467,0.0000055658847],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006047015,0.00009609468,0.002640917,0.000025088135,0.0000012513754,0.00007454958,0.000008925849,0.00047308442,0.99021256,0.0059802365,0.00023235049,0.00019444707],"study_design_scores_gemma":[0.001605332,0.00058575324,0.12136562,0.00021405786,0.000032469146,0.00078848226,0.00001419383,0.014694391,0.8237508,0.036152374,0.00046915625,0.00032734926],"about_ca_topic_score_codex":0.0000047891026,"about_ca_topic_score_gemma":0.0000038315034,"teacher_disagreement_score":0.16646177,"about_ca_system_score_codex":0.000033828677,"about_ca_system_score_gemma":0.0000591866,"threshold_uncertainty_score":0.3953122},"labels":[],"label_agreement":null},{"id":"W2089331005","doi":"10.1016/j.neucom.2004.01.118","title":"Location, location, location (and density) of gap junctions in multi-compartment models","year":2004,"lang":"en","type":"article","venue":"Neurocomputing","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network","funders":"","keywords":"Compartment (ship); Computer science; Location model; Artificial intelligence; Mathematics; Geology; Operations research","score_opus":0.06999898865928296,"score_gpt":0.27530731840904327,"score_spread":0.20530832974976032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089331005","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71865183,0.000023772878,0.27998617,0.00049043854,0.00031178712,0.00035324015,5.782297e-7,0.000064197615,0.000117971955],"genre_scores_gemma":[0.9983807,0.000015644837,0.0009944093,0.00049061776,0.00003832148,0.0000132111,0.00000324272,0.000016637037,0.00004720155],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99865645,0.00007940035,0.00040644745,0.00044885252,0.00020087937,0.0002079447],"domain_scores_gemma":[0.9992496,0.000104758925,0.00018246176,0.0002057926,0.00019912033,0.00005828259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015272954,0.00014180315,0.00015897967,0.00022633064,0.00017760806,0.000040495885,0.000115553594,0.000046607525,0.0000010191931],"category_scores_gemma":[0.00022158567,0.00014822141,0.00002458516,0.001065223,0.0000760849,0.00025413456,0.00006882306,0.00015701562,0.000008626006],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014578284,0.00025346855,0.0018605257,0.00009294712,0.0000018742695,0.000003980536,0.0003463917,0.90881056,0.06391164,0.022905262,0.000009323612,0.0017894385],"study_design_scores_gemma":[0.0012625661,0.000104961306,0.04350487,0.0001606511,0.000011816396,0.000043140637,0.00005810304,0.90666616,0.04218468,0.0057358695,0.00005391338,0.00021325929],"about_ca_topic_score_codex":0.00012020786,"about_ca_topic_score_gemma":0.00009463722,"teacher_disagreement_score":0.27972886,"about_ca_system_score_codex":0.000081144375,"about_ca_system_score_gemma":0.00007711967,"threshold_uncertainty_score":0.60442936},"labels":[],"label_agreement":null},{"id":"W2089361244","doi":"10.1016/j.neulet.2015.01.055","title":"Standing still: Is there a role for the cortex?","year":2015,"lang":"en","type":"article","venue":"Neuroscience Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":69,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre; Heart and Stroke Foundation; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Neuroscience; Cortex (anatomy); Balance (ability); Cortical neurons; Psychology; Physical medicine and rehabilitation; Medicine","score_opus":0.06316598908495279,"score_gpt":0.27725905453257776,"score_spread":0.21409306544762496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089361244","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94749445,0.000026368312,0.011120172,0.037152823,0.002889346,0.0006158197,0.000040789255,0.00012805438,0.00053216045],"genre_scores_gemma":[0.9280263,0.000012052165,0.000037325546,0.07131694,0.00011390561,0.000037579364,3.3340714e-7,0.00001761361,0.00043794114],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99840844,0.000053603668,0.00014720934,0.00051989587,0.00047420032,0.00039667785],"domain_scores_gemma":[0.99912006,0.0003270885,0.000091432,0.00031855903,0.000027138043,0.000115752766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026922283,0.00013798599,0.000097558266,0.00005444482,0.00035573562,0.0002443147,0.00055415835,0.000025991594,0.0000078300245],"category_scores_gemma":[0.00063915836,0.00008914943,0.00007272876,0.00041506678,0.00027438355,0.00030908376,0.0000842791,0.00015248846,0.000019062012],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027902486,0.000014624174,0.0004405798,0.0000027010258,3.6340225e-7,0.000007710219,0.00021213763,0.00035916493,0.99067825,0.0012238277,0.005643995,0.0013887439],"study_design_scores_gemma":[0.001404159,0.00067577814,0.0088622095,0.000023902481,0.00003149747,0.00013267572,0.00039489474,0.29242676,0.25257286,0.0030700923,0.43975335,0.00065178075],"about_ca_topic_score_codex":0.000013842883,"about_ca_topic_score_gemma":0.000002576221,"teacher_disagreement_score":0.73810536,"about_ca_system_score_codex":0.000044506127,"about_ca_system_score_gemma":0.000034839588,"threshold_uncertainty_score":0.36354083},"labels":[],"label_agreement":null},{"id":"W2089598165","doi":"10.1097/00001756-200009110-00028","title":"A cortical region sensitive to auditory spectral motion","year":2000,"lang":"en","type":"article","venue":"Neuroreport","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Auditory cortex; Neuroscience; Sensory system; Formant; Cortex (anatomy); Psychology; Auditory system; Electrophysiology; Temporal cortex; Visual cortex; Computer science; Speech recognition","score_opus":0.026098087079930703,"score_gpt":0.249758432663817,"score_spread":0.2236603455838863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089598165","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9773243,2.7768507e-7,0.00045254937,0.0013153687,0.0010538759,0.00023760395,0.0000026484454,0.00017453273,0.019438867],"genre_scores_gemma":[0.9904861,0.0000066301454,0.000032351498,0.0040869154,0.0004239802,0.0000088222805,0.0000026808123,0.0000203952,0.004932114],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985572,0.00009734409,0.00023558855,0.0005395664,0.00030170914,0.000268559],"domain_scores_gemma":[0.9994179,0.00007902247,0.000056070887,0.00026639653,0.000025616786,0.00015501713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007825494,0.00012859044,0.00012240527,0.00006413447,0.00014424812,0.000041413852,0.00007738513,0.000048034068,0.00015253093],"category_scores_gemma":[0.00032229442,0.00012039099,0.00007271485,0.00025917942,0.000056849767,0.00014391141,0.000023392438,0.000219563,0.00043789006],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002769765,0.00019427767,0.0010708598,0.000007321297,0.000003172669,0.0058227084,0.00013735719,0.00074339093,0.94808847,0.0011128453,0.009834594,0.03270802],"study_design_scores_gemma":[0.0008117682,0.0015149915,0.5460181,0.000038367663,0.000046766287,0.010236585,0.000027810864,0.021044604,0.35545114,0.0015174209,0.06231979,0.00097260094],"about_ca_topic_score_codex":0.000010363692,"about_ca_topic_score_gemma":0.0000030763406,"teacher_disagreement_score":0.59263736,"about_ca_system_score_codex":0.000040943087,"about_ca_system_score_gemma":0.000023792241,"threshold_uncertainty_score":0.56283367},"labels":[],"label_agreement":null},{"id":"W2089612039","doi":"10.1007/bf02345287","title":"Dynamics of the level of deterministic chaos associated with gastric electrical uncoupling in dogs","year":2001,"lang":"en","type":"article","venue":"Medical & Biological Engineering & Computing","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Calgary","funders":"","keywords":"Lyapunov exponent; Mathematics; Control theory (sociology); Electrophysiology; Exponent; Physics; Biology; Neuroscience; Computer science; Nonlinear system; Quantum mechanics","score_opus":0.04383975710387523,"score_gpt":0.24720998032427466,"score_spread":0.20337022322039944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089612039","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9600333,0.000009302555,0.039435796,0.00015734896,0.00014767847,0.000117418625,0.000004346266,0.000037027276,0.00005778524],"genre_scores_gemma":[0.9996838,0.000008408079,0.0001556404,0.00009538251,0.000032525906,0.0000019862243,0.000002855753,0.000009474991,0.000009901567],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985387,0.00007255995,0.0004027738,0.00026737025,0.0003808053,0.00033784035],"domain_scores_gemma":[0.9985386,0.001085923,0.00014768686,0.00012107194,0.000028594508,0.00007813981],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041124562,0.0001404365,0.00028840257,0.00008167965,0.000046817273,0.0000073904166,0.00032663043,0.00014253308,0.000014782669],"category_scores_gemma":[0.004858053,0.00008203829,0.000065708584,0.0010113626,0.00012576669,0.00001822712,0.00013257451,0.00045912017,7.936125e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019345265,0.0009858133,0.523436,0.000106759566,0.000034535755,0.00030839545,0.000121362165,0.22307386,0.18397656,0.007828404,0.000007668632,0.059927166],"study_design_scores_gemma":[0.00028475563,0.00019248629,0.16013168,0.00015351575,0.000003893359,0.000048047263,0.0000026755565,0.83859164,0.00043854746,0.00006197965,0.0000032604044,0.000087548906],"about_ca_topic_score_codex":0.000019931513,"about_ca_topic_score_gemma":0.000014116361,"teacher_disagreement_score":0.61551774,"about_ca_system_score_codex":0.00008202445,"about_ca_system_score_gemma":0.000040038183,"threshold_uncertainty_score":0.5815894},"labels":[],"label_agreement":null},{"id":"W2089713529","doi":"10.1186/1471-2202-15-s1-p112","title":"A phenomenological model for self-initiated movement in electric fish","year":2014,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"General Dynamics (Canada); University of Ottawa","funders":"","keywords":"Electric fish; Attractor; Computer science; Process (computing); Statistical physics; Movement (music); Scale (ratio); Phenomenological model; Fish <Actinopterygii>; Biological system; Physics; Mathematics; Statistics; Biology; Mathematical analysis; Acoustics","score_opus":0.09193786223167671,"score_gpt":0.280632691042816,"score_spread":0.1886948288111393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089713529","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92204714,0.0000016725068,0.07486126,0.00043575015,0.00042337217,0.00063940394,0.0000121887915,0.00020518029,0.001374066],"genre_scores_gemma":[0.9871796,0.000013317121,0.00061553315,0.011659796,0.00003383226,0.000116539646,0.0000010040743,0.00001454304,0.00036582773],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980217,0.00011813203,0.0002573277,0.00077718036,0.00029219393,0.0005334181],"domain_scores_gemma":[0.9992025,0.00034092832,0.00009198266,0.0002470659,0.000024796807,0.00009276016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033331505,0.00015971047,0.00015827508,0.00016596058,0.00019145157,0.00009393286,0.0004309739,0.00005073399,0.0000036500232],"category_scores_gemma":[0.0013168937,0.00013896837,0.0000581182,0.0007958549,0.00006702506,0.00022231232,0.00009189452,0.0001482299,0.0000071623826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046214733,0.00025409792,0.00044909114,0.000016845606,1.4544497e-7,0.0000030096887,0.00005498285,0.015703792,0.9613636,0.021192491,0.00011041057,0.0008053325],"study_design_scores_gemma":[0.00049221044,0.00034682167,0.0030742022,0.0000037788334,0.0000022515924,0.0000048577226,0.0000029831901,0.97057486,0.016835067,0.00806819,0.00042812084,0.00016665437],"about_ca_topic_score_codex":0.0000026311836,"about_ca_topic_score_gemma":0.000014919604,"teacher_disagreement_score":0.95487106,"about_ca_system_score_codex":0.000059569848,"about_ca_system_score_gemma":0.00005698228,"threshold_uncertainty_score":0.5666966},"labels":[],"label_agreement":null},{"id":"W2089760277","doi":"10.1016/j.neuroscience.2003.08.051","title":"Neocortical seizures: initiation, development and cessation","year":2003,"lang":"en","type":"review","venue":"Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":367,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Institute of Neurological Disorders and Stroke","keywords":"Neuroscience; Bursting; Thalamus; Inhibitory postsynaptic potential; Postsynaptic potential; Thalamic reticular nucleus; Depolarization; Spike-and-wave; Neocortex; Epilepsy; Reticular connective tissue; Ictal; Psychology; Biology; Medicine; Anatomy; Biophysics; Internal medicine","score_opus":0.1284142264353229,"score_gpt":0.3382084637072167,"score_spread":0.20979423727189378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089760277","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00076987804,0.9881052,0.0017361367,0.00008911249,0.0035335363,0.0015199247,0.000028647435,0.00024350052,0.0039740885],"genre_scores_gemma":[0.00033344247,0.9974168,0.00011682022,0.0013396827,0.00004904437,0.000073425465,0.00000589376,0.000030470283,0.0006344273],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99750036,0.00025057784,0.00048295804,0.00095641264,0.000465903,0.00034378466],"domain_scores_gemma":[0.9990277,0.00028141084,0.00026087093,0.00025716805,0.00002703074,0.00014578852],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021488471,0.00031313385,0.00046806538,0.00020069018,0.00036745012,0.00020781842,0.0002984136,0.00014080737,0.0000133073845],"category_scores_gemma":[0.00095621415,0.00025186152,0.00007558441,0.00079201214,0.00021537015,0.00029685293,0.000114341434,0.00033173157,0.000044446107],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000010907277,0.000036590896,0.000003843212,0.00090351194,5.257881e-7,0.000042572367,0.00002562584,0.0000020043842,0.00027091303,0.004202108,0.00009582231,0.9944154],"study_design_scores_gemma":[0.000059815615,0.00003936831,0.000038830545,0.0003837822,0.000026692103,0.00030037394,0.0000012227305,0.00017362316,0.00012210222,0.00013738371,0.99844545,0.00027137948],"about_ca_topic_score_codex":6.6786583e-7,"about_ca_topic_score_gemma":0.0000010457671,"teacher_disagreement_score":0.9983496,"about_ca_system_score_codex":0.00006322376,"about_ca_system_score_gemma":0.00029809462,"threshold_uncertainty_score":0.9999934},"labels":[],"label_agreement":null},{"id":"W2089798148","doi":"10.1016/j.bandc.2009.10.003","title":"Electrophysiological changes during adolescence: A review","year":2009,"lang":"en","type":"review","venue":"Brain and Cognition","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":273,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Psychology; Electroencephalography; Cognition; Neuroscience; Electrophysiology; Developmental psychology; Anticipation (artificial intelligence); Event-related potential; Stressor; Stimulus (psychology); Cognitive psychology","score_opus":0.05685723024323134,"score_gpt":0.3114899824511168,"score_spread":0.25463275220788545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089798148","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000052762305,0.99791086,0.000005361931,0.000543481,0.00008444864,0.00076878443,0.000023185134,0.00009258335,0.00051854464],"genre_scores_gemma":[0.00011051365,0.9938994,0.0000053017857,0.00521755,0.0002114667,0.000089885834,0.00007451642,0.000018352797,0.00037301972],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984908,0.00027872258,0.00024318702,0.00057066575,0.00016173064,0.00025486154],"domain_scores_gemma":[0.9994248,0.000152012,0.00019390252,0.00013766797,0.000020062438,0.00007151414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000104029124,0.00028731138,0.0007188435,0.000087653636,0.00015889014,0.00004804744,0.000113051814,0.00015888315,0.00004029182],"category_scores_gemma":[0.00037109022,0.00020937771,0.00016291438,0.00031069398,0.000057121764,0.00005978666,0.000044612512,0.00034164952,0.000057442274],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000066457783,0.000025931575,8.564451e-9,0.016221417,0.000002572242,0.000022461614,9.3145434e-7,3.5540524e-9,0.0027205101,0.00017909602,0.00041938497,0.98040104],"study_design_scores_gemma":[0.00018637105,0.0004260187,0.000019817046,0.07523015,0.00029410646,0.0005466894,9.561721e-7,0.000008534597,0.0001526543,0.0009785887,0.92161435,0.00054178626],"about_ca_topic_score_codex":3.0244783e-7,"about_ca_topic_score_gemma":5.847959e-7,"teacher_disagreement_score":0.97985923,"about_ca_system_score_codex":0.000024007188,"about_ca_system_score_gemma":0.000024143937,"threshold_uncertainty_score":0.8538175},"labels":[],"label_agreement":null},{"id":"W2089847021","doi":"10.1007/s00422-006-0094-4","title":"Scaling and organization of electroencephalographic background activity and alpha rhythm in healthy young adults","year":2006,"lang":"en","type":"article","venue":"Biological Cybernetics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rhythm; Scaling; Electroencephalography; Alpha rhythm; Statistical physics; Interval (graph theory); Criticality; Physics; Fractal; Distribution (mathematics); Power law; Power (physics); Mathematics; Neuroscience; Psychology; Mathematical analysis; Quantum mechanics; Geometry; Combinatorics; Statistics","score_opus":0.020061092877027065,"score_gpt":0.2382812091748885,"score_spread":0.21822011629786142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089847021","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993419,0.00008135377,0.00018223337,0.00010447606,0.000050975515,0.00013880034,0.0000067349633,0.0000223539,0.00007117374],"genre_scores_gemma":[0.9990287,0.0007317297,0.000089664994,0.000099927485,0.000029285313,0.000002112053,0.0000052637756,0.000005624665,0.000007696935],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991865,0.00009467753,0.00016354109,0.0002964449,0.000081554856,0.00017727932],"domain_scores_gemma":[0.99961966,0.00017509465,0.00008116577,0.00006501245,0.000023835897,0.000035208897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000095313015,0.000092062895,0.0001324864,0.00005744294,0.000055790053,0.000021273256,0.0000432124,0.00009377357,0.000003514996],"category_scores_gemma":[0.00015217825,0.000071903465,0.0000127836865,0.00037159416,0.00016844709,0.000054849992,0.00004527354,0.000109604625,4.05397e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013975613,0.00013186544,0.43354404,0.000023291237,8.6889713e-7,0.000008044937,0.00002078917,0.000018996067,0.5543037,0.0076082055,0.0000040522796,0.004196346],"study_design_scores_gemma":[0.0003578913,0.00042486057,0.9802164,0.0000126141995,0.000002279797,0.000040892257,0.000009141476,0.0022309194,0.015037426,0.0015504862,0.000019985288,0.00009709717],"about_ca_topic_score_codex":0.00023299102,"about_ca_topic_score_gemma":0.00011217345,"teacher_disagreement_score":0.54667234,"about_ca_system_score_codex":0.000014104885,"about_ca_system_score_gemma":0.0000059996764,"threshold_uncertainty_score":0.2932138},"labels":[],"label_agreement":null},{"id":"W2090316552","doi":"10.1167/11.11.297","title":"Visual cortex responses to visual and electrical stimulations recorded by voltage sensitive dye imaging in cats and tree shrews","year":2011,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Visual cortex; Lateral geniculate nucleus; Neuroscience; CATS; Stimulation; Stimulus (psychology); Electrophysiology; Orientation column; Geniculate; Cortex (anatomy); Chemistry; Anatomy; Psychology; Biology; Nucleus; Striate cortex; Medicine; Internal medicine","score_opus":0.02299514891831447,"score_gpt":0.3171148609366596,"score_spread":0.29411971201834514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090316552","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979944,0.000034002303,0.0013561199,0.00025729206,0.00014575961,0.000115252544,0.0000043128607,0.000007745929,0.00008507986],"genre_scores_gemma":[0.99907607,0.00008252514,0.0001975274,0.0004917353,0.000037262922,6.2081887e-7,5.742496e-7,0.000010520736,0.00010313973],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99895674,0.00014963695,0.00031736307,0.00020858384,0.00020507163,0.00016262708],"domain_scores_gemma":[0.9992066,0.00039993622,0.00016168911,0.000048179314,0.0000670361,0.000116533614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026846878,0.000102744525,0.00016933554,0.0003195199,0.0000980101,0.000054416865,0.00004854537,0.00003669422,0.000007784971],"category_scores_gemma":[0.000661772,0.00008421702,0.00003046883,0.00027174072,0.00004255708,0.00031196434,0.00004782947,0.00020451097,0.0000022668385],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009786938,0.000120348086,0.009214713,0.0000018578418,0.0000013969958,0.00011295025,0.00023025632,0.0000031882776,0.9398459,0.000021587191,0.0003130176,0.04915605],"study_design_scores_gemma":[0.0010230615,0.0022192437,0.90846634,0.00006976534,0.00001548041,0.00038024905,0.00008242044,0.058068465,0.028989978,0.00028085403,0.00023281045,0.00017132868],"about_ca_topic_score_codex":0.000030173875,"about_ca_topic_score_gemma":0.00002100071,"teacher_disagreement_score":0.91085595,"about_ca_system_score_codex":0.000045894918,"about_ca_system_score_gemma":0.0000282601,"threshold_uncertainty_score":0.34342703},"labels":[],"label_agreement":null},{"id":"W2090578725","doi":"10.1016/j.brainres.2011.11.005","title":"Theta modulation of inter-regional gamma synchronization during auditory attention control","year":2011,"lang":"en","type":"article","venue":"Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":64,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Simon Fraser University; Hospital for Sick Children; SickKids Foundation; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Synchronization (alternating current); Neuroscience; Rhythm; Electroencephalography; Phase synchronization; Modulation (music); Perception; Psychology; Computer science; Communication; Physics; Phase (matter); Telecommunications","score_opus":0.11344341364150297,"score_gpt":0.3281574342347951,"score_spread":0.21471402059329214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090578725","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896589,0.000007078489,0.00718965,0.0007892948,0.00032230615,0.00037258698,0.000007983388,0.00004223345,0.001609956],"genre_scores_gemma":[0.9976123,0.00001037914,0.000034696342,0.00006757544,0.00017716656,0.00002462626,0.0000071797376,0.000016992799,0.0020490952],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9981432,0.000474573,0.00022982415,0.0003316762,0.00054875866,0.0002719732],"domain_scores_gemma":[0.99906236,0.0003443413,0.00009523175,0.00023708884,0.00020341155,0.000057561385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072547345,0.00008440673,0.0001038875,0.00028365952,0.00019970055,0.000027502616,0.00020639549,0.0000688581,0.00017485494],"category_scores_gemma":[0.00073960196,0.000077018754,0.000062203486,0.00039120798,0.00020236618,0.00025884656,0.00006935252,0.00021421819,0.000056230885],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017175154,0.0001029807,0.0023939325,0.000044446442,0.0000049494524,0.0000070099013,0.000141632,0.00010679363,0.9891271,0.0041084043,0.0006027457,0.0031882536],"study_design_scores_gemma":[0.002224597,0.00056638266,0.69938016,0.00015021491,0.000008646319,0.000043865966,0.00013784414,0.2025439,0.08436211,0.00963925,0.0006428613,0.0003001826],"about_ca_topic_score_codex":0.00004820736,"about_ca_topic_score_gemma":0.000012790036,"teacher_disagreement_score":0.904765,"about_ca_system_score_codex":0.00008197123,"about_ca_system_score_gemma":0.000040124185,"threshold_uncertainty_score":0.31407338},"labels":[],"label_agreement":null},{"id":"W2090781932","doi":"10.1016/s0304-3940(01)02483-1","title":"Frequency-dependent spatial distribution of human somatosensory evoked neuromagnetic fields","year":2002,"lang":"en","type":"article","venue":"Neuroscience Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":80,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Ministry of Education, Culture, Sports, Science and Technology","keywords":"Somatosensory system; Magnetoencephalography; Neuroscience; Psychology; Distribution (mathematics); Human brain; Somatosensory evoked potential; Electroencephalography; Mathematics","score_opus":0.030461922199120906,"score_gpt":0.23385313148875622,"score_spread":0.2033912092896353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090781932","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99315876,0.0000046297996,0.0009968961,0.0036053148,0.0012835577,0.00022623765,0.00003260934,0.00010571724,0.0005862987],"genre_scores_gemma":[0.9930912,0.000014846226,0.000009050585,0.0064754225,0.0000793786,0.00001033026,0.000003160962,0.00001626664,0.00030034338],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977346,0.00016687009,0.00035726823,0.0006740232,0.0006394198,0.00042782386],"domain_scores_gemma":[0.999149,0.000110460554,0.00018915356,0.00041909842,0.000024008665,0.000108280154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009569595,0.00019621823,0.00018331499,0.00010447875,0.00031468034,0.00008223985,0.0004899745,0.0000624787,0.000098245495],"category_scores_gemma":[0.00039554675,0.00018689464,0.00010076883,0.0004221495,0.00042457678,0.0002986343,0.000091579575,0.00027623915,0.000034529203],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000032406779,0.00008274033,0.0011678842,0.00001132204,2.524138e-7,0.00006599811,0.00003592988,0.0001871564,0.9966881,0.0006258131,0.0005515925,0.0005799568],"study_design_scores_gemma":[0.0008590602,0.00094733224,0.08251564,0.000029765019,0.000021810676,0.0002052569,0.000010033691,0.036546487,0.877141,0.00080662,0.000341861,0.0005751175],"about_ca_topic_score_codex":0.00007851081,"about_ca_topic_score_gemma":0.000009836536,"teacher_disagreement_score":0.1195471,"about_ca_system_score_codex":0.00003362601,"about_ca_system_score_gemma":0.00000731377,"threshold_uncertainty_score":0.76213425},"labels":[],"label_agreement":null},{"id":"W2091382242","doi":"10.1007/s00221-003-1623-1","title":"Temporal shaping of phasic neuronal responses by GABA- and non-GABA-mediated mechanisms in the somatosensory thalamus of the rat","year":2003,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nova Scotia Department of Agriculture","funders":"","keywords":"Neuroscience; Thalamus; Somatosensory system; Psychology; Biology","score_opus":0.08893151181999621,"score_gpt":0.35758402143228063,"score_spread":0.26865250961228443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091382242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99700713,0.00015970413,0.000009279269,0.0012904843,0.00015698111,0.0005847184,0.000042032178,0.000008803485,0.00074084074],"genre_scores_gemma":[0.9989271,0.000015818294,0.000027121505,0.00054781674,0.000011058517,0.00004088695,0.000002696099,0.000018347657,0.00040911938],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99627256,0.0018039409,0.00028978803,0.00037703625,0.0008921664,0.00036452262],"domain_scores_gemma":[0.99751884,0.001992067,0.00009153769,0.0003105024,0.000032823253,0.000054235315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014533165,0.00013817605,0.0001674308,0.00015390794,0.00023333576,0.00004915842,0.0003988487,0.000059653063,0.000050044844],"category_scores_gemma":[0.0012741335,0.00008769597,0.00006247924,0.0006283507,0.0005922337,0.00012700477,0.00016101733,0.0003802265,0.000003853101],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014287519,0.00021224194,0.00078158313,0.000013464617,0.0000018147277,0.000013255427,0.00080051995,0.0000018103151,0.9943849,0.0027222822,0.00087166723,0.00005359985],"study_design_scores_gemma":[0.00072173134,0.00037424653,0.0026963877,0.000027418018,8.4367497e-7,0.00003708676,0.0021336917,0.00073500734,0.99234265,0.0005452047,0.00030087537,0.00008483691],"about_ca_topic_score_codex":0.00006121516,"about_ca_topic_score_gemma":0.000012407795,"teacher_disagreement_score":0.0021770776,"about_ca_system_score_codex":0.00003714946,"about_ca_system_score_gemma":0.00008395261,"threshold_uncertainty_score":0.35761377},"labels":[],"label_agreement":null},{"id":"W2091491752","doi":"10.1016/j.brainresrev.2005.05.001","title":"The morphology of bi-directional experience-dependent cortical plasticity: A meta-analysis","year":2005,"lang":"en","type":"review","venue":"Brain Research Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Neuroscience; Neocortex; Psychology; Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Neuroplasticity; Synaptic plasticity; Synapse; Dendritic spine; Cognitive psychology; Biology","score_opus":0.5536110098451499,"score_gpt":0.5109349954390802,"score_spread":0.04267601440606972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091491752","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000009787345,0.9955963,0.00022734198,0.00073819095,0.00022459304,0.0022223112,0.000113290465,0.000029793262,0.0008384317],"genre_scores_gemma":[0.0000353626,0.98937166,0.00008538632,0.00024430803,0.00021262147,0.0017144432,0.000016889357,0.00004256336,0.008276744],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.98416555,0.009852002,0.0019583574,0.0012819007,0.0018469332,0.0008952295],"domain_scores_gemma":[0.98020613,0.017520888,0.0007658926,0.0010507355,0.00020954793,0.00024680124],"candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0067259157,0.0005059578,0.0042294585,0.0008070803,0.0007516242,0.00018195523,0.0014696296,0.0002826277,0.001401028],"category_scores_gemma":[0.020636441,0.00025651802,0.0042131725,0.003875853,0.0011121973,0.00011001875,0.00054908375,0.0017541326,0.00048093023],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029991317,0.0002482781,8.465425e-7,0.0020767234,0.0075452966,0.00006265941,0.000045724657,0.000012441036,0.00048130247,0.0063702497,0.010077712,0.97304875],"study_design_scores_gemma":[0.000050957544,0.00010315443,0.0000020680143,0.00013852368,0.017728556,0.000069502894,0.0000062711742,0.00015955378,0.000027522778,0.0000782774,0.981423,0.00021257388],"about_ca_topic_score_codex":0.000037778304,"about_ca_topic_score_gemma":0.00008657519,"teacher_disagreement_score":0.9728362,"about_ca_system_score_codex":0.00017785442,"about_ca_system_score_gemma":0.00030874056,"threshold_uncertainty_score":0.9999887},"labels":[],"label_agreement":null},{"id":"W2091608524","doi":"10.1007/s11571-008-9073-x","title":"Modelling attention in individual cells leads to a system with realistic saccade behaviours","year":2009,"lang":"en","type":"article","venue":"Cognitive Neurodynamics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Michael Smith Health Research BC","keywords":"Saccade; Computer science; Human–computer interaction; Cognitive psychology; Artificial intelligence; Psychology; Eye movement","score_opus":0.03874669379807118,"score_gpt":0.2625920140256932,"score_spread":0.22384532022762205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091608524","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95328265,0.0000023077364,0.044343926,0.00020205573,0.0003001018,0.00068212155,0.00019475701,0.00012445937,0.000867643],"genre_scores_gemma":[0.99826413,0.0000063081397,0.00013827223,0.0012884233,0.000049360948,0.000022444383,0.00005597194,0.00003784775,0.00013723929],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99763334,0.00021030685,0.00038428608,0.0008159953,0.0004976295,0.00045845564],"domain_scores_gemma":[0.9991528,0.00022088121,0.00015736348,0.00021663342,0.000101764745,0.00015055577],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002135825,0.0002786351,0.00027654434,0.00033772734,0.00014930686,0.00014584512,0.00023712349,0.00008979538,0.0000025998409],"category_scores_gemma":[0.00012793581,0.00025700274,0.000067570916,0.00077702064,0.0000581989,0.0002274202,0.000050529092,0.00040389152,0.00003663087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012020604,0.00080206414,0.007394454,0.00009731331,0.0000095645,0.001552424,0.0005629591,0.5887072,0.37247747,0.01489524,0.00006240192,0.012236827],"study_design_scores_gemma":[0.0012421948,0.0013647395,0.05288882,0.00038315967,0.0000879875,0.00015449258,0.00018523037,0.9382105,0.004684377,0.0001842325,0.0000058878504,0.000608388],"about_ca_topic_score_codex":0.000038272272,"about_ca_topic_score_gemma":0.000061557475,"teacher_disagreement_score":0.3677931,"about_ca_system_score_codex":0.00011485184,"about_ca_system_score_gemma":0.000035052683,"threshold_uncertainty_score":0.9999882},"labels":[],"label_agreement":null},{"id":"W2091873467","doi":"10.1016/j.ijpsycho.2010.09.003","title":"Maturational changes of 5 Hz SSVEPs elicited by intermittent photic stimulation","year":2010,"lang":"en","type":"article","venue":"International Journal of Psychophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Canadian Institutes of Health Research; Institute of Genetics; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Photic Stimulation; Stimulation; Psychology; Occipital region; Neuroscience; Audiology; Occipital lobe; Electroencephalography; Photic zone; Visual evoked potentials; Medicine; Visual perception; Anatomy; Chemistry","score_opus":0.014311818532610293,"score_gpt":0.2947822703862823,"score_spread":0.28047045185367203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091873467","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98989224,0.000009238755,0.0007265484,0.0027803201,0.006281071,0.000064790205,0.000040112,0.000008248358,0.00019743199],"genre_scores_gemma":[0.997832,0.000043845117,0.0002372309,0.0011899619,0.00052976643,0.0000020278464,0.000019079494,0.000009635593,0.00013645731],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99889684,0.00006262563,0.000405421,0.00015977959,0.00036697154,0.000108387445],"domain_scores_gemma":[0.9986668,0.00022118296,0.00059282116,0.0000986273,0.00037125507,0.00004927742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011054977,0.00010205992,0.00016622055,0.00022710701,0.000029460685,0.000022754955,0.0003902895,0.00007682987,0.00022063368],"category_scores_gemma":[0.00029456412,0.000082714636,0.00009853722,0.00010483332,0.00010256351,0.0001681511,0.000036127094,0.00030239645,0.000012550452],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036168995,0.00014307514,0.00013441867,0.0000031197305,0.00002342741,0.000006995092,0.000036041714,0.00017223683,0.9897543,0.0014342642,0.0017325503,0.0061978544],"study_design_scores_gemma":[0.0030686515,0.0014026256,0.046843722,0.00007909073,0.00003533249,0.0007119735,0.000036282756,0.01785351,0.8978241,0.02121418,0.010590259,0.000340263],"about_ca_topic_score_codex":0.0000058837086,"about_ca_topic_score_gemma":0.0000051585334,"teacher_disagreement_score":0.09193022,"about_ca_system_score_codex":0.000022699616,"about_ca_system_score_gemma":0.000024692205,"threshold_uncertainty_score":0.33730048},"labels":[],"label_agreement":null},{"id":"W2091919567","doi":"10.1016/j.neulet.2013.11.009","title":"Startle neural activity is additive with normal cortical initiation-related activation","year":2013,"lang":"en","type":"article","venue":"Neuroscience Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Moro reflex; Startle response; Stimulus (psychology); Startle reaction; Neuroscience; Psychology; Turnover; Latency (audio); Reflex; Audiology; Medicine; Cognitive psychology; Computer science","score_opus":0.020424394920295318,"score_gpt":0.2303423234221751,"score_spread":0.20991792850187976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091919567","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98291934,1.8846534e-7,0.0011862733,0.014236,0.00049132464,0.00041750577,0.000018140956,0.00013311485,0.00059808686],"genre_scores_gemma":[0.95766866,0.0000020272528,0.000028999078,0.042047992,0.000047831352,0.000048176178,0.0000035231303,0.000019888412,0.00013289209],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978914,0.00016308243,0.00018917394,0.00068399345,0.0005972874,0.00047501797],"domain_scores_gemma":[0.9991235,0.0002744282,0.00015560501,0.00025044396,0.00005174025,0.00014426431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007568221,0.00020464219,0.00013733719,0.00012763258,0.00046274555,0.00024772837,0.0002582211,0.00005271224,0.0002565532],"category_scores_gemma":[0.00033886454,0.00016506463,0.00005144987,0.00075341074,0.00042315523,0.0020557623,0.00006701589,0.0004405826,0.00012835833],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031028285,0.000055789555,0.0011827165,0.0000026235434,6.618503e-7,0.000013596562,0.00009151037,0.00028570637,0.995522,0.00010265909,0.0011873257,0.001524359],"study_design_scores_gemma":[0.00050383626,0.0003732207,0.14581186,0.000011251752,0.0000075774324,0.000056422326,0.000019495621,0.07881519,0.7736335,0.00007330054,0.00036948567,0.0003248789],"about_ca_topic_score_codex":0.00005069052,"about_ca_topic_score_gemma":0.0000021157173,"teacher_disagreement_score":0.22188854,"about_ca_system_score_codex":0.000055515677,"about_ca_system_score_gemma":0.000032945536,"threshold_uncertainty_score":0.673114},"labels":[],"label_agreement":null},{"id":"W2092068573","doi":"10.1016/j.jpsychires.2013.09.009","title":"Resting state EEG power and coherence abnormalities in bipolar disorder and schizophrenia","year":2013,"lang":"en","type":"article","venue":"Journal of Psychiatric Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":195,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institute on Drug Abuse; National Institute of Mental Health","keywords":"Electroencephalography; Coherence (philosophical gambling strategy); Schizophrenia (object-oriented programming); Resting state fMRI; Neuroscience; Psychology; Audiology; Beta Rhythm; Electrophysiology; Alpha (finance); Bipolar disorder; Psychiatry; Medicine; Developmental psychology; Physics; Cognition; Psychometrics","score_opus":0.03498447790495608,"score_gpt":0.3200294892928264,"score_spread":0.2850450113878703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092068573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99524516,0.0020126584,0.00002728611,0.0019452417,0.00022619065,0.00017925704,0.0000021823992,0.000004891213,0.0003571368],"genre_scores_gemma":[0.9975387,0.0015602808,0.00041518649,0.00007127851,0.000051232735,0.00000391518,8.144338e-8,0.000010334911,0.00034901733],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981878,0.00035668124,0.00037699586,0.0001938246,0.000556045,0.00032868845],"domain_scores_gemma":[0.9988636,0.00058333797,0.00014706481,0.000107127664,0.00016328016,0.00013559507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012823602,0.00008857737,0.00014851111,0.0006076102,0.0001880596,0.00023694788,0.0001764352,0.00003993887,0.000046743808],"category_scores_gemma":[0.00076029164,0.00006584725,0.000026649228,0.0007078066,0.00016933511,0.00045258776,0.00010057898,0.000708231,0.000008923187],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008405601,0.0003038098,0.7168688,0.00023342983,0.000015985515,0.00015752841,0.001277409,0.00013624107,0.14863783,0.0045607956,0.0041040466,0.12286356],"study_design_scores_gemma":[0.0021939208,0.0014647832,0.95208603,0.00010752528,0.000005530561,0.0004541591,0.0006677725,0.0032148047,0.00061280205,0.03605282,0.002883325,0.0002565091],"about_ca_topic_score_codex":0.00032798928,"about_ca_topic_score_gemma":0.000052841737,"teacher_disagreement_score":0.23521724,"about_ca_system_score_codex":0.000023258532,"about_ca_system_score_gemma":0.000078322184,"threshold_uncertainty_score":0.30769506},"labels":[],"label_agreement":null},{"id":"W2092196031","doi":"10.1152/jn.00439.2005","title":"Effect of Nonlinear Summation of Synaptic Currents on the Input–Output Properties of Spinal Motoneurons","year":2005,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institutes of Health Research","funders":"","keywords":"Excitatory postsynaptic potential; Soma; Inhibitory postsynaptic potential; Neuroscience; Nonlinear system; Summation; Physics; Biological system; Control theory (sociology); Biology; Computer science; Stimulation","score_opus":0.0341258209561377,"score_gpt":0.2722174970596381,"score_spread":0.2380916761035004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092196031","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99887604,0.000017234071,0.000012839095,0.00042501278,0.00046054335,0.00016761209,0.0000063895345,0.000004005361,0.000030317182],"genre_scores_gemma":[0.9995746,0.00008274337,0.000013284599,0.0001783844,0.00012155845,0.000001503247,2.6511796e-7,0.000011432204,0.00001620509],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983068,0.0005627738,0.00057968654,0.000139207,0.00027889793,0.00013261894],"domain_scores_gemma":[0.99844766,0.00039427966,0.0008157198,0.00019015156,0.00012074038,0.000031476142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013830187,0.00012518882,0.00036910616,0.00015079076,0.0000425672,0.0000049159253,0.00029665182,0.00004084572,0.000006546769],"category_scores_gemma":[0.00095207524,0.00006889074,0.00016868515,0.00018128264,0.00023063665,0.000106629814,0.000056538014,0.00028641074,0.0000052476685],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011835317,0.00016866767,0.000028415458,0.000088169916,0.000010515099,0.0000050331214,0.000025881649,0.00610051,0.9877796,0.00013499551,0.000011340576,0.0044633374],"study_design_scores_gemma":[0.0005626142,0.012925038,0.0036070372,0.00016384527,0.00004164594,0.00007425112,0.0000047022477,0.03151836,0.95084995,0.000049839044,0.00013409872,0.000068596535],"about_ca_topic_score_codex":0.00000211553,"about_ca_topic_score_gemma":1.2505674e-7,"teacher_disagreement_score":0.036929626,"about_ca_system_score_codex":0.0000124558555,"about_ca_system_score_gemma":0.000029194167,"threshold_uncertainty_score":0.28092828},"labels":[],"label_agreement":null},{"id":"W2092247983","doi":"10.1523/jneurosci.6154-10.2011","title":"Anisotropic Distribution of Thalamocortical Boutons in Barrels","year":2011,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research","keywords":"Somatosensory system; Neuroscience; Barrel (horology); Barrel cortex; Context (archaeology); Thalamus; Sensory system; Biotinylated dextran amine; Axon; Physics; Anatomy; Computer science; Biology; Materials science","score_opus":0.054611292504720084,"score_gpt":0.2695425981601797,"score_spread":0.21493130565545965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092247983","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99698347,0.0000072398934,0.0014907728,0.00015013771,0.00083586876,0.00006483576,0.0000063000007,0.0000059638055,0.0004554261],"genre_scores_gemma":[0.9996074,0.000048800248,0.000061640894,0.00021629198,0.000025895697,7.0045115e-7,1.0239209e-7,0.0000046477508,0.00003453591],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986945,0.000097776756,0.00045371783,0.00017843042,0.0003713242,0.00020425896],"domain_scores_gemma":[0.9993147,0.00008915825,0.0003193423,0.0001289131,0.000056256846,0.00009162763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002254604,0.00008010582,0.00016531075,0.00011666958,0.000050998544,0.000019244475,0.00033867377,0.000032398046,0.000010503501],"category_scores_gemma":[0.001118503,0.00006217285,0.000078815254,0.00055225583,0.00023804793,0.00038872944,0.000052747277,0.00022062995,0.0000022102984],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004635605,0.00016907488,0.011714647,0.000005048334,2.091855e-7,0.00011091354,0.000062737214,0.00006414637,0.98215157,0.005040578,0.000016582366,0.00061816204],"study_design_scores_gemma":[0.00037373308,0.00084706506,0.73981774,0.00003405352,0.0000065359513,0.0004089522,0.000016258946,0.004202918,0.25127575,0.0026051723,0.0003182485,0.00009359744],"about_ca_topic_score_codex":0.000007657465,"about_ca_topic_score_gemma":0.000002108051,"teacher_disagreement_score":0.7308758,"about_ca_system_score_codex":0.000030176376,"about_ca_system_score_gemma":0.000066343455,"threshold_uncertainty_score":0.2535335},"labels":[],"label_agreement":null},{"id":"W2092289085","doi":"10.1523/jneurosci.1258-11.2011","title":"Prefrontal Cortex Deactivation in Macaques Alters Activity in the Superior Colliculus and Impairs Voluntary Control of Saccades","year":2011,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"Canadian Institutes of Health Research","keywords":"Superior colliculus; Neuroscience; Dorsolateral prefrontal cortex; Saccade; Psychology; Stimulus (psychology); Prefrontal cortex; Cognition; Neurophysiology; Eye movement; Cognitive psychology","score_opus":0.03174037514564159,"score_gpt":0.25139608695628607,"score_spread":0.21965571181064447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092289085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989421,0.000010668093,0.00023550665,0.0002734839,0.0002796049,0.00019129639,0.000005855994,0.0000032826877,0.000058219885],"genre_scores_gemma":[0.9992198,0.00006459753,0.000027929038,0.000656038,0.000018138524,0.00000275223,3.8699827e-8,0.0000047463636,0.000005996405],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99872774,0.0002401811,0.00032305263,0.00019148283,0.00034340052,0.00017415655],"domain_scores_gemma":[0.9992603,0.0002456301,0.00032169535,0.00009651871,0.000029440238,0.00004638117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004839491,0.00009499093,0.00018470801,0.00019535437,0.000062224244,0.000034721288,0.00028696418,0.000030998424,0.0000028866323],"category_scores_gemma":[0.00040377106,0.000062988365,0.00004529814,0.00035277996,0.0002343031,0.00082995417,0.00003077478,0.00027224363,1.9227456e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002402116,0.00013881322,0.047328535,0.000006558673,3.8440322e-7,0.000060918013,0.0005753093,0.00003286245,0.950345,0.000070598326,0.0000036253089,0.0011971756],"study_design_scores_gemma":[0.00051883183,0.0006357516,0.9166584,0.000022180966,0.0000045130855,0.0002655375,0.00013616002,0.007857706,0.07364841,0.00017794623,0.000015076218,0.000059478003],"about_ca_topic_score_codex":0.0001453284,"about_ca_topic_score_gemma":0.000074661875,"teacher_disagreement_score":0.8766966,"about_ca_system_score_codex":0.000042097465,"about_ca_system_score_gemma":0.00005356272,"threshold_uncertainty_score":0.2568591},"labels":[],"label_agreement":null},{"id":"W2093023884","doi":"10.1167/13.9.188","title":"Can we perceive linear perspective in biological motion point-light displays?","year":2013,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Perspective (graphical); Computer vision; Artificial intelligence; Computer science; Camera auto-calibration; Point (geometry); Camera resectioning; Motion (physics); Field of view; Computer graphics (images); Mathematics; Optics; Physics; Geometry","score_opus":0.02224018431527035,"score_gpt":0.2862581799458734,"score_spread":0.264017995630603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093023884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98530275,0.000029466317,0.00018289588,0.013521579,0.00042780396,0.0001240992,0.0000021673936,0.000007934857,0.0004012786],"genre_scores_gemma":[0.9990029,0.00023213911,0.000112032154,0.00036878642,0.00016118788,0.0000012821741,4.0988778e-7,0.0000067633887,0.00011450022],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99901193,0.00014553503,0.0002885174,0.00017806253,0.0002232128,0.00015272344],"domain_scores_gemma":[0.99939233,0.00012095395,0.0002007529,0.00007943185,0.00012564845,0.00008086401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001877534,0.00009468005,0.00015765565,0.00017598025,0.00006423313,0.000044807315,0.00013288505,0.000069484064,0.00013629973],"category_scores_gemma":[0.00048670467,0.00005945973,0.000092616065,0.00020734736,0.000039139402,0.00036288475,0.00003765075,0.00032144066,0.00004685225],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000075386226,0.00017293767,0.0009863075,0.000003339349,0.0000017627557,0.000051153405,0.00051310775,0.00013283234,0.99202794,0.0013453373,0.00041772804,0.004272155],"study_design_scores_gemma":[0.0036075064,0.007365949,0.73991174,0.0005624251,0.000027267277,0.001303976,0.004049523,0.07502514,0.07029182,0.09543742,0.0016918115,0.0007254367],"about_ca_topic_score_codex":0.000043784177,"about_ca_topic_score_gemma":0.000010252988,"teacher_disagreement_score":0.9217361,"about_ca_system_score_codex":0.00015247932,"about_ca_system_score_gemma":0.000016933824,"threshold_uncertainty_score":0.24246974},"labels":[],"label_agreement":null},{"id":"W2093081921","doi":"10.1016/s0006-3495(03)74888-7","title":"The Control of Seizure-Like Activity in the Rat Hippocampal Slice","year":2003,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":72,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Ictal; Hippocampal formation; Neuroscience; Bursting; Epilepsy; Slice preparation; Epileptic seizure; Biology; Physics; Electrophysiology; Chemistry","score_opus":0.018977563965407278,"score_gpt":0.24987809009480375,"score_spread":0.23090052612939646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093081921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99602437,0.0000069816774,0.0007140031,0.0018620655,0.0006672279,0.00012278843,0.000002838614,0.000005359354,0.0005943654],"genre_scores_gemma":[0.99881196,0.000026553203,0.0000051215357,0.0009291303,0.00014294134,0.0000036916645,5.6888663e-8,0.0000055653795,0.00007497544],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985415,0.0006139742,0.00016069505,0.00012917974,0.0003378582,0.00021681203],"domain_scores_gemma":[0.9988074,0.0008270116,0.00013304832,0.00015795029,0.000028097746,0.000046534853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045967713,0.000089337445,0.000117225194,0.000023722005,0.00028651973,0.00009914475,0.0002710679,0.00003153452,0.000006705213],"category_scores_gemma":[0.00033782917,0.000042284286,0.000108927845,0.00025153082,0.0001388839,0.0001189658,0.000012723354,0.0004356025,0.000009996213],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000092830895,0.00012407675,0.00009246064,0.000001589152,0.0000024305896,0.000017447503,0.000047094905,0.0000399888,0.98703295,0.009566128,0.00018740313,0.0027955985],"study_design_scores_gemma":[0.0048993677,0.0014624322,0.029777361,0.000048822072,0.00006953765,0.0011841777,0.00042511884,0.025995877,0.87882954,0.017109837,0.03959869,0.0005992303],"about_ca_topic_score_codex":0.000004391511,"about_ca_topic_score_gemma":0.0000040117698,"teacher_disagreement_score":0.108203396,"about_ca_system_score_codex":0.000022486425,"about_ca_system_score_gemma":0.0000361532,"threshold_uncertainty_score":0.22037071},"labels":[],"label_agreement":null},{"id":"W2093125000","doi":"10.1016/j.expneurol.2012.08.030","title":"MEG studies of sensorimotor rhythms: A review","year":2012,"lang":"en","type":"review","venue":"Experimental Neurology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":338,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children","funders":"Hospital for Sick Children","keywords":"Magnetoencephalography; Neuroscience; Somatosensory system; Sensorimotor cortex; Rhythm; Sensorimotor rhythm; Electroencephalography; Variety (cybernetics); Motor cortex; Psychology; Computer science; Artificial intelligence; Brain–computer interface; Medicine","score_opus":0.19052706704293138,"score_gpt":0.41276364286868333,"score_spread":0.22223657582575196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093125000","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00016481473,0.9952656,5.802271e-7,0.00010503934,0.002694998,0.0010892511,0.000042376196,0.00006373115,0.00057361624],"genre_scores_gemma":[0.00024630793,0.9963667,0.000013063075,0.0025280297,0.0003034551,0.00022420444,0.000011842684,0.000068757035,0.00023764941],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970054,0.00079254596,0.00081711105,0.0006987079,0.00026137766,0.00042483906],"domain_scores_gemma":[0.9981195,0.000577535,0.0006645678,0.0005140134,0.000027566244,0.000096834],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017655746,0.0004948056,0.0021401066,0.00013793178,0.00008421778,0.000007077388,0.0003168928,0.00020236782,0.00013798193],"category_scores_gemma":[0.00026076092,0.00037157186,0.00054175005,0.00031450187,0.00031877824,0.00010076687,0.00033126233,0.00043217363,0.0001977767],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010067216,0.00102047,0.0000024308295,0.119969845,0.00025373537,0.0004651307,0.00018846686,4.3237398e-7,0.020991815,0.0049466724,0.0070862626,0.84497404],"study_design_scores_gemma":[0.0001032117,0.00048981607,2.862633e-7,0.003110649,0.00017138867,0.0008174336,0.0000035170458,0.0000020026941,0.0020152216,0.000011648401,0.99300504,0.00026981544],"about_ca_topic_score_codex":0.0000025067343,"about_ca_topic_score_gemma":2.4715882e-7,"teacher_disagreement_score":0.98591876,"about_ca_system_score_codex":0.000041811552,"about_ca_system_score_gemma":0.000039230366,"threshold_uncertainty_score":0.99987364},"labels":[],"label_agreement":null},{"id":"W2093201815","doi":"10.1046/j.1460-9568.2003.02526.x","title":"Mechanisms underlying the noradrenergic modulation of longitudinal coordination during swimming in <i>Xenopus laevis</i> tadpoles","year":2003,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal General Hospital","funders":"Biotechnology and Biological Sciences Research Council; European Science Foundation; Wellcome Trust","keywords":"Xenopus; Inhibitory postsynaptic potential; Neuroscience; Biology; Neurotransmission; Postsynaptic potential; Spinal cord; Neuron; Biophysics; Membrane potential; Postsynaptic Current; Excitatory postsynaptic potential; Chemistry; Anatomy; Receptor; Biochemistry","score_opus":0.05183427058724344,"score_gpt":0.2592868997609904,"score_spread":0.20745262917374696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093201815","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9876476,0.000021478976,0.010576305,0.00030127127,0.00086185365,0.00009594881,0.0000012817519,0.000010807857,0.0004834314],"genre_scores_gemma":[0.999479,0.00003590017,0.00016685213,0.00019021644,0.000016785734,4.945929e-7,1.0833176e-7,0.000018127752,0.000092528324],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9975699,0.000787816,0.0005830699,0.00027974378,0.0005358024,0.00024362176],"domain_scores_gemma":[0.9988585,0.00015513941,0.00065842696,0.00018422637,0.00008040353,0.00006329086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012535088,0.00013683819,0.00016743851,0.00025837042,0.00026521776,0.00010112472,0.00043799743,0.000014534592,0.0000034863122],"category_scores_gemma":[0.0010741048,0.00010037926,0.00008219998,0.0008833905,0.00014613566,0.00056963094,0.000058692218,0.00027885856,0.000002150692],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019337838,0.000047459063,0.00037729225,0.000010236708,4.7254164e-7,0.00011616524,0.00008153897,0.0178631,0.9766318,0.004324566,0.0000021394826,0.00052585057],"study_design_scores_gemma":[0.0012114757,0.0006431144,0.5481237,0.00019368717,0.000016473798,0.0014153747,0.00015322532,0.022920506,0.42248324,0.0023254994,0.00021382101,0.00029985257],"about_ca_topic_score_codex":0.000002428432,"about_ca_topic_score_gemma":0.000002289771,"teacher_disagreement_score":0.5541486,"about_ca_system_score_codex":0.000044123193,"about_ca_system_score_gemma":0.000037000053,"threshold_uncertainty_score":0.40933472},"labels":[],"label_agreement":null},{"id":"W2093357285","doi":"10.1016/j.conb.2015.03.012","title":"Neural coding within human brain areas involved in actions","year":2015,"lang":"en","type":"review","venue":"Current Opinion in Neurobiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":270,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Neuroscience; Human brain; Functional connectivity; Coding (social sciences); Psychology; Neural activity; Action (physics); Biological neural network; Neural coding; Cognitive science; Computer science","score_opus":0.33048658781729073,"score_gpt":0.436196019764121,"score_spread":0.10570943194683025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093357285","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0044813165,0.9339582,0.000015500982,0.00043800616,0.05746846,0.0027924485,0.0002496887,0.00026960514,0.00032682664],"genre_scores_gemma":[0.0019251411,0.99644125,0.0000025671511,0.00013486714,0.00055461423,0.0002553533,0.0005186216,0.00007728658,0.00009028192],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99515593,0.001643674,0.0011909498,0.0012412731,0.0001766805,0.00059152034],"domain_scores_gemma":[0.99795,0.00074789673,0.0006406786,0.0004862275,0.000035158777,0.00014001351],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00048564677,0.0005792467,0.0013688506,0.0009656469,0.00012862124,0.000065630804,0.0006195585,0.00037628989,0.00002433923],"category_scores_gemma":[0.00084984285,0.00050877803,0.00026426354,0.0011386952,0.000207101,0.00018168315,0.00031669557,0.0017840797,0.00006560877],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011816688,0.0022048734,0.00084669725,0.027251102,0.000029416726,0.00008811938,0.00042914005,0.00071983086,0.0040248414,0.040746458,0.024808014,0.8987333],"study_design_scores_gemma":[0.00055152515,0.00024137914,0.000074808726,0.0042842836,0.00001800433,0.0000990011,0.0000092118025,0.00085151393,0.0000057002944,0.00052366755,0.99278027,0.00056062185],"about_ca_topic_score_codex":0.00001751292,"about_ca_topic_score_gemma":0.000053134434,"teacher_disagreement_score":0.9679723,"about_ca_system_score_codex":0.00027652615,"about_ca_system_score_gemma":0.00019622927,"threshold_uncertainty_score":0.99973637},"labels":[],"label_agreement":null},{"id":"W2093380821","doi":"10.1006/jtbi.2002.2534","title":"Recurrent Inhibitory Dynamics: The Role of State-Dependent Distributions of Conduction Delay Times","year":2002,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Bistability; Bursting; Limit cycle; Chaotic; Statistical physics; Constant (computer programming); Control theory (sociology); Mathematics; Time constant; Limit (mathematics); SIGNAL (programming language); Physics; Computer science; Mathematical analysis; Neuroscience","score_opus":0.012908855545290622,"score_gpt":0.2453750471471179,"score_spread":0.23246619160182727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093380821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99377435,0.0002511811,0.0021216867,0.0015924902,0.0009113833,0.00009682087,0.0001311424,0.0000059572667,0.0011149665],"genre_scores_gemma":[0.9995989,0.00021322964,0.000032693977,0.000049086088,0.000065788496,0.0000010408986,0.0000024618728,0.0000047463864,0.000032060856],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99879533,0.00032450657,0.00048204444,0.00011047284,0.00014807825,0.00013956238],"domain_scores_gemma":[0.9987821,0.00048750365,0.00042633992,0.00012471018,0.00012982792,0.00004953386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035930876,0.000080068196,0.00020011894,0.0000674234,0.000057684883,0.000007146073,0.00020493013,0.00006592597,0.00026436118],"category_scores_gemma":[0.0006752212,0.00004568193,0.00012816144,0.00011814767,0.00092633744,0.000055556364,0.00005512147,0.00027082057,0.0000062257113],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000101216436,0.0001587987,0.00023686739,0.0000043041714,0.000012146138,0.0000023722532,0.0000396576,0.000040618837,0.3634596,0.626295,0.00008875925,0.009560665],"study_design_scores_gemma":[0.00049234653,0.0020008604,0.00018037525,0.00003719,0.000059574788,0.00035543003,0.00015267471,0.02229999,0.42951965,0.543681,0.0010994704,0.00012138371],"about_ca_topic_score_codex":0.0000019841873,"about_ca_topic_score_gemma":0.000001255622,"teacher_disagreement_score":0.08261396,"about_ca_system_score_codex":0.000048119655,"about_ca_system_score_gemma":0.000015214319,"threshold_uncertainty_score":0.3413129},"labels":[],"label_agreement":null},{"id":"W2093419501","doi":"10.1113/jphysiol.2001.012759","title":"Frequency‐selective augmenting responses by short‐term synaptic depression in cat neocortex","year":2002,"lang":"en","type":"article","venue":"The Journal of Physiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Excitatory postsynaptic potential; Neuroscience; Inhibitory postsynaptic potential; Neocortex; Postsynaptic potential; Synaptic plasticity; Neuroplasticity; Stimulation; Long-term depression; Biology; NMDA receptor; Receptor; AMPA receptor","score_opus":0.027791074698435458,"score_gpt":0.2637593341325495,"score_spread":0.23596825943411404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093419501","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998888,0.00013954415,0.00004033565,0.00031397273,0.00028947182,0.00009779088,0.0000024105448,0.000007695864,0.0002207345],"genre_scores_gemma":[0.9991441,0.00022311734,0.000015528492,0.00038768188,0.00008348495,0.000002208252,3.165357e-7,0.000009454541,0.00013411691],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986303,0.00056672964,0.00029626422,0.0001408774,0.0001390897,0.0002267431],"domain_scores_gemma":[0.9988946,0.0006760301,0.00022509118,0.00013247755,0.000034204546,0.000037650683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000285085,0.00010175256,0.0001818402,0.000097909986,0.00012363601,0.0000117908,0.0002671937,0.00005102238,0.00006846811],"category_scores_gemma":[0.00034297368,0.00006177185,0.000055727218,0.00019273073,0.00010153783,0.00016018962,0.00004918974,0.00029995607,0.000010579562],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014104755,0.00006424524,0.0014531943,0.000003471151,0.0000059837007,0.000014553541,0.0001833638,0.00011755768,0.9961966,0.000023677521,0.00042171072,0.001374538],"study_design_scores_gemma":[0.0010530296,0.0013154927,0.19656967,0.00012250808,0.00006452005,0.0010189576,0.00014957046,0.017570639,0.7748874,0.006801632,0.00011064221,0.0003359882],"about_ca_topic_score_codex":0.00001482472,"about_ca_topic_score_gemma":0.000006739427,"teacher_disagreement_score":0.2213093,"about_ca_system_score_codex":0.000059260616,"about_ca_system_score_gemma":0.000013455336,"threshold_uncertainty_score":0.25189826},"labels":[],"label_agreement":null},{"id":"W2093799752","doi":"10.1016/j.heares.2009.07.011","title":"Long-term, partially-reversible reorganization of frequency tuning in mature cat primary auditory cortex can be induced by passive exposure to moderate-level sounds","year":2009,"lang":"en","type":"article","venue":"Hearing Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":119,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Tonotopy; Auditory cortex; Inferior colliculus; Sensory system; Audiology; Thalamus; Neuroscience; Auditory system; Biology; Medicine; Nucleus","score_opus":0.09030087653763841,"score_gpt":0.3277328759632687,"score_spread":0.2374319994256303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093799752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99650156,0.000012975194,0.0002192598,0.0021649878,0.00023541255,0.00041963143,0.000024185547,0.000038700557,0.00038326075],"genre_scores_gemma":[0.99814594,0.000033857596,0.00010652562,0.00060616835,0.00009704308,0.000014608808,0.0000339732,0.000025319678,0.0009365568],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9975807,0.00028279444,0.00029216032,0.0005353693,0.00077846716,0.000530525],"domain_scores_gemma":[0.99901,0.0001925388,0.00007243693,0.00033635518,0.00023142391,0.00015723659],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048551537,0.00014558072,0.00020971158,0.00036332262,0.0002722855,0.00011200738,0.0002936478,0.0001630526,0.000028111881],"category_scores_gemma":[0.0006645814,0.00014833524,0.000030639756,0.0012004912,0.000060730727,0.00024871153,0.0001330674,0.0005907062,0.00000860038],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008078673,0.000095924705,0.007983315,0.000044769575,0.0000020209307,0.000037790658,0.0005113449,0.00019533726,0.98873836,0.00023641462,0.00090003683,0.0011739037],"study_design_scores_gemma":[0.0006526963,0.00085549685,0.6268807,0.00022148776,0.0000045203647,0.000014661484,0.00009104524,0.00142969,0.36866724,0.00084981945,0.000027315948,0.0003052853],"about_ca_topic_score_codex":0.0003622295,"about_ca_topic_score_gemma":0.00034252647,"teacher_disagreement_score":0.6200711,"about_ca_system_score_codex":0.00040250967,"about_ca_system_score_gemma":0.00029106135,"threshold_uncertainty_score":0.6048935},"labels":[],"label_agreement":null},{"id":"W2093831691","doi":"10.1038/npre.2011.5986.1","title":"A new functional role for lateral inhibition in the striatum: Pavlovian conditioning","year":2011,"lang":"en","type":"preprint","venue":"Nature Precedings","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Neuroscience; Striatum; Reciprocal inhibition; Psychology; Basal ganglia; Classical conditioning; Lateral inhibition; Neurophysiology; Ventral striatum; Action selection; Conditioning; Dopamine; Stimulation; Central nervous system","score_opus":0.02921281991210782,"score_gpt":0.2627666876859107,"score_spread":0.23355386777380288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093831691","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9680597,0.00016808943,0.004550038,0.0051858956,0.008000062,0.0029912938,0.0003574623,0.00026187184,0.010425545],"genre_scores_gemma":[0.99466646,0.000018831312,0.00040935958,0.0026170893,0.0009872053,0.00018155252,0.00031873074,0.00003264644,0.0007681473],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99815077,0.00009526547,0.00032087188,0.0007398702,0.00036744063,0.00032579532],"domain_scores_gemma":[0.99901724,0.0003283665,0.0002735213,0.00024468463,0.00007075454,0.00006542946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038713284,0.00028177854,0.0002321961,0.00021190429,0.00019323168,0.00024640723,0.00025440616,0.0007634084,0.00010401448],"category_scores_gemma":[0.0005058933,0.00021859417,0.00019249199,0.00022855589,0.000039075097,0.0002430931,0.00019261037,0.0021477267,0.000012381476],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017844473,0.00039865472,0.0013485576,0.0004972469,0.000063002066,0.000053438143,0.00607904,0.001495665,0.63101953,0.25300866,0.09252517,0.011726568],"study_design_scores_gemma":[0.0028483307,0.00040032747,0.01445638,0.0006313559,0.00011476574,0.00014668473,0.00015321602,0.007007223,0.12862055,0.8295439,0.01498594,0.0010913521],"about_ca_topic_score_codex":0.000073952586,"about_ca_topic_score_gemma":0.000060534814,"teacher_disagreement_score":0.5765352,"about_ca_system_score_codex":0.000101203455,"about_ca_system_score_gemma":0.00010889792,"threshold_uncertainty_score":0.9330923},"labels":[],"label_agreement":null},{"id":"W2093990655","doi":"10.1016/s0167-6393(02)00103-6","title":"Descending system and plasticity for auditory signal processing: neuroethological data for speech scientists","year":2003,"lang":"en","type":"article","venue":"Speech Communication","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Auditory system; Medial geniculate body; Neuroscience; Auditory cortex; Inferior colliculus; Computer science; Speech recognition; Psychology","score_opus":0.11776924976645327,"score_gpt":0.32886313776435366,"score_spread":0.2110938879979004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093990655","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76135784,0.00018557583,0.23057884,0.0008276422,0.0011097445,0.0028355964,0.00035740502,0.00039304196,0.0023543448],"genre_scores_gemma":[0.973785,0.000018295881,0.025739081,0.00012046646,0.0000662678,0.000054468295,0.000058837526,0.00001750467,0.0001400798],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986052,0.00022393237,0.00023201453,0.00050970895,0.00018988102,0.00023926934],"domain_scores_gemma":[0.99815226,0.0009162128,0.00017134375,0.0006015673,0.0000942263,0.00006436418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000824808,0.0001242746,0.00014422605,0.0000717469,0.000762275,0.00019368726,0.0006234455,0.00007099996,0.0000029191576],"category_scores_gemma":[0.0015261412,0.00011317783,0.000029283974,0.00018788745,0.00017996217,0.0003517243,0.00022460354,0.00015206521,0.0000030181718],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021578876,0.0002593817,0.00036622424,0.0006156761,0.000005998583,0.0000064203145,0.00007445909,0.00010320102,0.87779915,0.05197707,0.0028176934,0.06575896],"study_design_scores_gemma":[0.0025003285,0.00064696895,0.003334221,0.00034218794,0.00011293165,0.00064167427,0.00027630845,0.68048865,0.2486755,0.008058777,0.054112647,0.00080980704],"about_ca_topic_score_codex":0.000002488783,"about_ca_topic_score_gemma":0.000007776285,"teacher_disagreement_score":0.6803855,"about_ca_system_score_codex":0.000061687126,"about_ca_system_score_gemma":0.000046685607,"threshold_uncertainty_score":0.58628803},"labels":[],"label_agreement":null},{"id":"W2094205817","doi":"10.1007/s10827-011-0374-4","title":"Improved measures of phase-coupling between spikes and the Local Field Potential","year":2011,"lang":"en","type":"article","venue":"Journal of Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":172,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Spike (software development); Local field potential; Spike train; Computer science; Coherence (philosophical gambling strategy); Point process; Phase synchronization; Bursting; Pairwise comparison; Synchronization (alternating current); Field (mathematics); Phase (matter); Artificial intelligence; Mathematics; Physics; Neuroscience; Statistics","score_opus":0.05894597146057224,"score_gpt":0.27996350252508295,"score_spread":0.22101753106451072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094205817","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7207564,0.000018530009,0.27816322,0.0005002171,0.00043752065,0.000070353366,0.0000031909485,0.0000047860594,0.000045774003],"genre_scores_gemma":[0.998768,0.000020472457,0.00045017796,0.0006697163,0.000077716926,5.4083984e-7,1.07874136e-7,0.000004758446,0.000008519905],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987826,0.00006792849,0.00039917082,0.00015388486,0.00047543287,0.00012099971],"domain_scores_gemma":[0.998714,0.0005738523,0.0004377668,0.00006721372,0.00014329245,0.00006383146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048714582,0.00008254577,0.00017308087,0.000099188816,0.00015783444,0.000044003707,0.00029236265,0.000024705409,0.000006372384],"category_scores_gemma":[0.0006387062,0.00005177523,0.000084413135,0.00021364167,0.0006506224,0.00027696686,0.00005801216,0.0001940353,2.939497e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010489929,0.00022143516,0.00088780676,0.000021295062,0.0000064696897,0.000042194282,0.0003590487,0.038767517,0.9162698,0.015123727,0.000056287394,0.027195472],"study_design_scores_gemma":[0.0031097855,0.0018420906,0.01114653,0.0000316508,0.000045418175,0.0004053935,0.000047311725,0.8150179,0.13526331,0.03289236,0.000054911747,0.00014334633],"about_ca_topic_score_codex":0.000006526206,"about_ca_topic_score_gemma":2.890459e-7,"teacher_disagreement_score":0.78100646,"about_ca_system_score_codex":0.000006308967,"about_ca_system_score_gemma":0.000060842416,"threshold_uncertainty_score":0.23972455},"labels":[],"label_agreement":null},{"id":"W2094236434","doi":"10.1016/j.jphysparis.2014.08.008","title":"Feedback-related negativity observed in rodent anterior cingulate cortex","year":2014,"lang":"en","type":"article","venue":"Journal of Physiology-Paris","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":72,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Local field potential; Negativity effect; Anterior cingulate cortex; Psychology; Macaque; Neuroscience; Cingulate cortex; Event-related potential; Electroencephalography; Negative feedback; Stimulus (psychology); Cognitive psychology; Cognition; Central nervous system; Physics","score_opus":0.019941617392573198,"score_gpt":0.24652033657616254,"score_spread":0.22657871918358935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094236434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977998,0.000031062857,0.00006217561,0.0005619411,0.001191351,0.00009177114,0.000002734708,0.000017280552,0.00024184522],"genre_scores_gemma":[0.9989038,0.00013364201,0.00006839945,0.0005370952,0.0001315287,0.000001379686,8.978409e-7,0.000014609316,0.00020864198],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9982531,0.00037592507,0.0006252888,0.00026745116,0.00020286177,0.0002753791],"domain_scores_gemma":[0.9987068,0.0002784089,0.0006585342,0.00019710575,0.000070172646,0.00008899009],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004320726,0.0001598947,0.00043886743,0.00015227424,0.00008387032,0.00003173048,0.00025271624,0.000109953406,0.000081243576],"category_scores_gemma":[0.00040722403,0.00012410138,0.0001712365,0.00029378157,0.00010684823,0.0002611523,0.000081324506,0.00049654173,0.00002878355],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015119906,0.00012113189,0.0026191361,0.000011747051,0.0000080901245,0.000015764288,0.00008191919,0.0007824602,0.99441546,0.00011147135,0.00018274244,0.0014988584],"study_design_scores_gemma":[0.0014577312,0.0006729294,0.8867423,0.00010785776,0.000018923733,0.00009626187,0.000021785714,0.027387,0.07769866,0.0051479167,0.0004537339,0.00019492614],"about_ca_topic_score_codex":0.000043467848,"about_ca_topic_score_gemma":0.00001915598,"teacher_disagreement_score":0.9167168,"about_ca_system_score_codex":0.000062882755,"about_ca_system_score_gemma":0.000032207667,"threshold_uncertainty_score":0.50607073},"labels":[],"label_agreement":null},{"id":"W2094391984","doi":"10.1023/a:1027376214993","title":"Active zones and receptor surfaces of freeze-fractured crayfish phasic and tonic motor synapses","year":2003,"lang":"en","type":"article","venue":"Journal of Neurocytology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tonic (physiology); Postsynaptic potential; Excitatory postsynaptic potential; Biology; Biophysics; Neuroscience; Active zone; Anatomy; Synaptic vesicle; Synapse; Receptor; Vesicle; Membrane; Biochemistry; Inhibitory postsynaptic potential","score_opus":0.02089488311436011,"score_gpt":0.2566332524594652,"score_spread":0.23573836934510511,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094391984","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977666,0.0004069799,0.00005180992,0.0008242364,0.0006934378,0.000092215814,0.000012645508,0.000007253234,0.00014482885],"genre_scores_gemma":[0.9981783,0.0010305796,0.00017013853,0.00047637455,0.000037216952,9.633784e-7,2.0848015e-7,0.000011613238,0.000094617724],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99885315,0.00026337514,0.00034387218,0.00021156057,0.0001552317,0.00017282585],"domain_scores_gemma":[0.9985721,0.0006784445,0.00049155485,0.00009671304,0.000074544165,0.00008660423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012397805,0.00013211122,0.00034912207,0.00014395369,0.000079800535,0.000022633201,0.00010977267,0.00008097451,0.000038183705],"category_scores_gemma":[0.0011387357,0.00010249074,0.000059333714,0.00012688954,0.00020945961,0.0002409549,0.000032965723,0.0002641258,0.0000011279706],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035182197,0.00008039591,0.0012600642,0.000021394086,0.000013761018,0.000065977474,0.000091871494,0.0000212757,0.99512905,0.0005939413,0.00020738746,0.0021630526],"study_design_scores_gemma":[0.0025522257,0.0052333805,0.056868587,0.000052274176,0.000102368496,0.006393771,0.00020496696,0.00039696664,0.90751296,0.0032510345,0.017103102,0.00032837995],"about_ca_topic_score_codex":0.0000067337332,"about_ca_topic_score_gemma":0.000008596093,"teacher_disagreement_score":0.087616116,"about_ca_system_score_codex":0.000013836947,"about_ca_system_score_gemma":0.000038585702,"threshold_uncertainty_score":0.41794512},"labels":[],"label_agreement":null},{"id":"W2094551818","doi":"10.3389/fnint.2012.00098","title":"The biophysical bases of will-less behaviors","year":2012,"lang":"en","type":"article","venue":"Frontiers in Integrative Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Fundação Bial","keywords":"Psychology; Cognitive psychology; Neuroscience; Cognitive science; Communication","score_opus":0.024896504038478994,"score_gpt":0.2725788306323626,"score_spread":0.24768232659388362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094551818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9864228,0.000039006292,0.0063896417,0.00036843488,0.0056944657,0.00024866787,0.000022681268,0.000028291215,0.00078603084],"genre_scores_gemma":[0.99856466,0.00009094149,0.00020780021,0.00045647382,0.000049539754,0.000028759028,4.8010304e-7,0.0000107966725,0.00059055095],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982839,0.00023671454,0.00027100375,0.0003614264,0.00039493383,0.00045197806],"domain_scores_gemma":[0.9991113,0.00033964115,0.00014578731,0.00027121475,0.000038259084,0.00009381842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027128146,0.00016692007,0.00018719488,0.00012616754,0.0002711179,0.000054017706,0.0005554794,0.000038553157,0.0000032380362],"category_scores_gemma":[0.001360289,0.00009928894,0.00008210906,0.0009797491,0.0012090649,0.00067084335,0.00010309241,0.00028865886,0.000002479435],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004667297,0.00021311958,0.03344436,0.0000037828922,4.5299788e-7,0.000004316664,0.00034324106,0.000028777235,0.94214183,0.015439033,0.001727212,0.0066072065],"study_design_scores_gemma":[0.0003652268,0.00047437666,0.08872953,0.000058652317,0.000012912924,0.00002437766,0.0017920731,0.019047026,0.8762001,0.0022607432,0.010616577,0.00041842464],"about_ca_topic_score_codex":0.000021383466,"about_ca_topic_score_gemma":0.000006737857,"teacher_disagreement_score":0.06594174,"about_ca_system_score_codex":0.000053873027,"about_ca_system_score_gemma":0.00003568326,"threshold_uncertainty_score":0.445485},"labels":[],"label_agreement":null},{"id":"W2094598304","doi":"10.1523/jneurosci.1940-08.2008","title":"Experience-Dependent Plasticity from Eye Opening Enables Lasting, Visual Cortex-Dependent Enhancement of Motion Vision","year":2008,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Visual cortex; Psychology; Optokinetic reflex; Neuroscience; Monocular deprivation; Visual perception; Perception; Sensory deprivation; Eye movement; Ocular dominance; Sensory system","score_opus":0.0403057884824631,"score_gpt":0.30192743994454446,"score_spread":0.2616216514620814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094598304","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9740449,0.000016790775,0.02337422,0.00008539079,0.0021547892,0.00015014077,0.000011268996,0.00001870738,0.00014376773],"genre_scores_gemma":[0.9988036,0.00019399913,0.00023245694,0.00032769176,0.00013294524,0.0000030195426,4.223025e-7,0.000015652255,0.00029018745],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9964315,0.0001830108,0.00089638325,0.0005409623,0.001582044,0.00036604595],"domain_scores_gemma":[0.9979878,0.00030814906,0.001150187,0.00017897699,0.00018061053,0.00019427159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031132877,0.00021751023,0.00035600396,0.00022923823,0.00042174777,0.000097842065,0.000637442,0.00005923221,0.00006145482],"category_scores_gemma":[0.0013917662,0.00017597053,0.00011060027,0.00042987365,0.00035462773,0.0010715727,0.00023463517,0.00035019108,0.000007911602],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013263909,0.0003110643,0.0021893845,0.000006771758,0.0000012486956,0.00019701384,0.000336571,0.0013475873,0.99437034,0.000031988253,0.000023432096,0.0010519797],"study_design_scores_gemma":[0.00063757977,0.0015692542,0.04899959,0.000092292314,0.00001239704,0.00029803524,0.00009633697,0.022988249,0.9248794,0.000084319036,0.00015536533,0.00018718003],"about_ca_topic_score_codex":0.000036920304,"about_ca_topic_score_gemma":0.0000044052845,"teacher_disagreement_score":0.06949092,"about_ca_system_score_codex":0.00008988686,"about_ca_system_score_gemma":0.00010864656,"threshold_uncertainty_score":0.717587},"labels":[],"label_agreement":null},{"id":"W2094599139","doi":"10.1073/pnas.0307840101","title":"Changes in corticothalamic modulation of receptive fields during peripheral injury-induced reorganization","year":2004,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Thalamus; Somatosensory system; Neuroscience; Receptive field; Lesion; Nucleus; Cortex (anatomy); Biology; Anatomy; Cerebral cortex; Medicine; Pathology","score_opus":0.038668747073518556,"score_gpt":0.2862549849064481,"score_spread":0.24758623783292952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094599139","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99733996,0.0000022699935,0.0000024248127,0.0020302844,0.00003834711,0.00015619255,0.000004273906,0.0000076287547,0.00041859466],"genre_scores_gemma":[0.99967,0.00001923301,0.00011916588,0.00012093534,0.000029405774,0.0000038840867,7.606375e-8,0.0000033898427,0.000033856617],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99885035,0.0000075567536,0.00024517847,0.00020080255,0.00059797143,0.00009813514],"domain_scores_gemma":[0.99944603,0.000041670835,0.00036356694,0.0000068029135,0.00012920985,0.000012712055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029978764,0.00006363745,0.00010198846,0.00018214324,0.00009656022,0.000011473341,0.0002787411,0.000058554167,0.000006679918],"category_scores_gemma":[0.0007744536,0.000047919646,0.000026771546,0.0010876321,0.00022328545,0.00037943557,0.00006282802,0.00011177639,2.430907e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018631732,0.000028615163,0.0037174711,0.000025363837,8.239593e-7,3.7021484e-9,0.00024098933,0.0013432252,0.98021007,0.014189816,0.0000014797266,0.00022348436],"study_design_scores_gemma":[0.00013121184,0.00006248489,0.21061292,0.00005523822,0.000001491071,0.0000024062374,0.000047368172,0.002111015,0.7652743,0.021662682,4.3310527e-7,0.00003848315],"about_ca_topic_score_codex":0.000011195813,"about_ca_topic_score_gemma":0.0000012519788,"teacher_disagreement_score":0.21493582,"about_ca_system_score_codex":0.00006558889,"about_ca_system_score_gemma":0.000019413737,"threshold_uncertainty_score":0.19541064},"labels":[],"label_agreement":null},{"id":"W2095196515","doi":"10.1089/brain.2011.0009","title":"Synchrony of Two Brain Regions Predicts the Blood Oxygen Level Dependent Activity of a Third","year":2011,"lang":"en","type":"article","venue":"Brain Connectivity","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital","funders":"James S. McDonnell Foundation","keywords":"Neurophysiology; Coherence (philosophical gambling strategy); Neuroscience; Blood-oxygen-level dependent; Functional magnetic resonance imaging; Synchronization (alternating current); Electroencephalography; Coupling (piping); Coupling strength; SIGNAL (programming language); Electrophysiology; Network dynamics; Functional connectivity; Physics; Brain activity and meditation; Brain mapping; Psychology; Computer science; Mathematics","score_opus":0.08337987513428971,"score_gpt":0.2724987743432181,"score_spread":0.1891188992089284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095196515","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98534334,0.0000128718375,0.006651419,0.0026701058,0.0003566684,0.00061572384,0.00015677646,0.00007774693,0.004115379],"genre_scores_gemma":[0.9983034,0.000009068682,0.00009295506,0.00077332003,0.00006291538,0.00003582367,0.0000012860453,0.000024563711,0.0006966625],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99758404,0.000703123,0.00031785935,0.0005771877,0.00046625175,0.00035154028],"domain_scores_gemma":[0.9956745,0.0029563913,0.0004213568,0.0007625348,0.000090834,0.00009440582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009855407,0.00023124903,0.00035150498,0.00011021445,0.0002232406,0.000019430026,0.0005124611,0.00010348025,0.00005481105],"category_scores_gemma":[0.0037038273,0.00017310405,0.00019444377,0.00043605754,0.00040617032,0.0002889961,0.00025884816,0.00032557678,0.000007092836],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017132417,0.0007263734,0.0016457277,0.000052407882,0.00004150098,0.000017990387,0.0006834142,0.00003718421,0.9591962,0.033276204,0.00078828103,0.0033633797],"study_design_scores_gemma":[0.00153621,0.00062822923,0.0941287,0.00005679213,0.000071648166,0.000112299786,0.000055568296,0.0038498074,0.8852737,0.013814002,0.00018320957,0.00028982942],"about_ca_topic_score_codex":0.000999255,"about_ca_topic_score_gemma":0.0010397926,"teacher_disagreement_score":0.09248298,"about_ca_system_score_codex":0.000037113095,"about_ca_system_score_gemma":0.00013230009,"threshold_uncertainty_score":0.7058978},"labels":[],"label_agreement":null},{"id":"W2095470880","doi":"10.1063/1.1739811","title":"A subharmonic dynamical bifurcation during <i>in vitro</i> epileptiform activity","year":2004,"lang":"en","type":"article","venue":"Chaos An Interdisciplinary Journal of Nonlinear Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Hospital for Sick Children; Savoy Foundation; Epilepsy Foundation","keywords":"Intermittency; Neuroscience; Status epilepticus; Epilepsy; Population; Neural activity; Physics; Psychology; Medicine","score_opus":0.02318709882074939,"score_gpt":0.31400082415534103,"score_spread":0.29081372533459166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095470880","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963564,0.0000085736,0.0010737877,0.001434545,0.0008011062,0.0001408526,0.000010285228,0.000022676393,0.00015177015],"genre_scores_gemma":[0.998606,0.000023500514,0.0010096729,0.00009404221,0.00021844331,0.0000028144,0.0000010086455,0.000016190006,0.000028317572],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978681,0.000062374274,0.0005028722,0.00046257698,0.0006589021,0.0004451685],"domain_scores_gemma":[0.9988703,0.000060722745,0.0003934176,0.0002873578,0.00014097316,0.00024724117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007942937,0.00018223279,0.00025464882,0.0005943706,0.00049078435,0.00015259822,0.0008205002,0.000060455663,0.000013364625],"category_scores_gemma":[0.00018728297,0.00014858725,0.00013149764,0.001124055,0.0005214172,0.0022488954,0.00042917594,0.0005552438,0.000019271336],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004351019,0.0004065062,0.000088811044,0.000011866154,0.0000011233074,0.00013771905,0.0004985979,0.0016453018,0.9924066,0.00012143859,6.245196e-7,0.004246306],"study_design_scores_gemma":[0.0012698881,0.0008422926,0.020323006,0.00012867615,0.0000071228706,0.0014747363,0.00025174735,0.0685802,0.9042382,0.0026190758,0.000007871754,0.00025715935],"about_ca_topic_score_codex":0.0000068573218,"about_ca_topic_score_gemma":0.000018241333,"teacher_disagreement_score":0.08816838,"about_ca_system_score_codex":0.00057152915,"about_ca_system_score_gemma":0.000300342,"threshold_uncertainty_score":0.6059212},"labels":[],"label_agreement":null},{"id":"W2095677861","doi":"10.1093/cercor/bht061","title":"Delineating Prefrontal Cortex Region Contributions to Crossmodal Object Recognition in Rats","year":2013,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Crossmodal; Neuroscience; Prefrontal cortex; Psychology; Object (grammar); Orbitofrontal cortex; Cognition; Computer science; Visual perception; Perception; Artificial intelligence","score_opus":0.02911363820707932,"score_gpt":0.27505764226563,"score_spread":0.24594400405855069,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095677861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994421,0.0000071266654,0.0013730478,0.0008614041,0.0006416542,0.0009355937,0.00006777635,0.00013008679,0.0015623136],"genre_scores_gemma":[0.99675226,0.000006326346,0.00014966574,0.0018351079,0.00017734947,0.00013304428,0.00006731223,0.000024094825,0.0008548546],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998209,0.00012313302,0.00039572595,0.00057860883,0.00022624891,0.00046726022],"domain_scores_gemma":[0.9992014,0.0001365824,0.00011810561,0.00022520185,0.00014921035,0.00016946786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011106445,0.00019669683,0.00020617146,0.00015324887,0.00025273257,0.00017872204,0.00016966468,0.0001074805,0.00019689166],"category_scores_gemma":[0.0007547881,0.00018637879,0.00008062796,0.00047552594,0.00006277835,0.0005405176,0.00008942684,0.00027798204,0.0006376331],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000079360965,0.000102322905,0.0033718322,0.0000107367605,0.00000270274,0.00002836558,0.00011296753,0.00005879327,0.9695528,0.0004660255,0.0014341305,0.024779929],"study_design_scores_gemma":[0.0025841992,0.0010515834,0.7784203,0.00020340682,0.000026802138,0.00026179026,0.00025925378,0.09291097,0.110956885,0.011256252,0.00092906744,0.0011394629],"about_ca_topic_score_codex":0.00050659344,"about_ca_topic_score_gemma":0.0003294709,"teacher_disagreement_score":0.85859597,"about_ca_system_score_codex":0.00019927074,"about_ca_system_score_gemma":0.000057850062,"threshold_uncertainty_score":0.8195696},"labels":[],"label_agreement":null},{"id":"W2095787854","doi":"10.1007/s10827-008-0126-2","title":"Analyzing multiple spike trains with nonparametric granger causality","year":2009,"lang":"en","type":"article","venue":"Journal of Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":92,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Mental Health; National Institutes of Health; Wellcome Trust; Research Nova Scotia; Jawaharlal Nehru Centre for Advanced Scientific Research; Defence Research and Development Organisation; Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Spike (software development); Granger causality; Spike train; Computer science; Train; Autoregressive model; Nonparametric statistics; Artificial intelligence; Causality (physics); Neuroscience; Pattern recognition (psychology); Machine learning; Econometrics; Mathematics; Biology","score_opus":0.03514176299764425,"score_gpt":0.28116616366436187,"score_spread":0.2460244006667176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095787854","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9205346,0.0000141288665,0.076885514,0.0018050536,0.0004563149,0.00010185684,0.000006965283,0.000023536724,0.00017199044],"genre_scores_gemma":[0.9946517,0.000013944841,0.0021372342,0.0030588422,0.000091163536,5.096021e-7,4.554221e-7,0.0000073696915,0.000038829377],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99805486,0.00011441199,0.00042140053,0.00030410147,0.000854762,0.00025043378],"domain_scores_gemma":[0.99841934,0.00063234445,0.00046715268,0.0001121114,0.00020680454,0.0001622358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035804603,0.00014439771,0.00021811221,0.00039910604,0.00024338772,0.00015707513,0.0003519036,0.000027988173,0.000008950593],"category_scores_gemma":[0.001334601,0.0001054558,0.000103227976,0.0016031618,0.00021441298,0.0006482682,0.000019344416,0.00028649875,0.0000034513964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025864816,0.0005150735,0.005645285,0.000009363728,0.0000029932573,0.00039268125,0.00008349317,0.48846272,0.48058072,0.00689937,0.00024577265,0.0169039],"study_design_scores_gemma":[0.0014375896,0.0028119553,0.5857437,0.000065608416,0.000031044958,0.0024497658,0.000013323831,0.3780154,0.013083357,0.014961094,0.00096081925,0.0004263163],"about_ca_topic_score_codex":0.0000014663816,"about_ca_topic_score_gemma":9.701356e-7,"teacher_disagreement_score":0.58009845,"about_ca_system_score_codex":0.000044634096,"about_ca_system_score_gemma":0.00012231016,"threshold_uncertainty_score":0.43003628},"labels":[],"label_agreement":null},{"id":"W2095977516","doi":"10.1177/1073858411435128","title":"Information Processing in Decision-Making Systems","year":2012,"lang":"en","type":"review","venue":"The Neuroscientist","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":194,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Institute on Drug Abuse; National Institute of Mental Health","keywords":"Action selection; Cognitive science; Action (physics); Computer science; Psychology; Deliberation; Information processing; Process (computing); Neuroscience; Cognitive psychology","score_opus":0.06623267066222933,"score_gpt":0.33381986130314595,"score_spread":0.26758719064091663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095977516","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00016671492,0.98453546,0.00093392225,0.000020972993,0.010834298,0.0015231447,0.000064605694,0.00012071484,0.0018001675],"genre_scores_gemma":[0.01360877,0.98529255,0.000011453276,0.00031819628,0.00021846454,0.000118175936,0.00001023784,0.00004554128,0.00037657816],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975529,0.0003528903,0.0007257099,0.00033420985,0.0005668833,0.00046741698],"domain_scores_gemma":[0.9983066,0.0005507808,0.00059731037,0.0004612287,0.00002476759,0.0000593476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006393963,0.0003141496,0.0005622217,0.0003985762,0.000423801,0.00085312006,0.0007666619,0.00012533301,0.000008835734],"category_scores_gemma":[0.000763589,0.00019157142,0.00016060767,0.0014827676,0.00013168016,0.00096967426,0.00025777557,0.0005323267,0.00027343718],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029788525,0.000020850026,0.0000010567106,0.001966922,2.959333e-7,0.0000063750554,0.00003528641,0.00003660637,0.00002562587,0.00070051494,0.000115685325,0.9970878],"study_design_scores_gemma":[0.000055504952,0.000013117559,0.000014540056,0.0041707023,0.0000508501,0.00030471847,0.000006655912,0.0028024656,0.0000012376571,0.00006320355,0.992302,0.00021497997],"about_ca_topic_score_codex":0.000007108212,"about_ca_topic_score_gemma":0.000003796047,"teacher_disagreement_score":0.99687284,"about_ca_system_score_codex":0.00012103488,"about_ca_system_score_gemma":0.00008880292,"threshold_uncertainty_score":0.82266563},"labels":[],"label_agreement":null},{"id":"W2096334504","doi":"10.1016/j.dr.2005.10.006","title":"Self-organizing individual differences in brain development","year":2005,"lang":"en","type":"article","venue":"Developmental Review","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":86,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Psychology; Cognitive psychology; Process (computing); Cognitive science; Self-organization; Neuroscience; Developmental psychology; Computer science; Artificial intelligence","score_opus":0.054234996817787005,"score_gpt":0.26650835876665,"score_spread":0.212273361948863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096334504","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9825638,0.0055821305,0.000048868897,0.00511563,0.00027350886,0.00087778433,0.000005270826,0.00020345712,0.0053295535],"genre_scores_gemma":[0.9505938,0.0114301685,0.012811596,0.024166407,0.00005961566,0.00009504307,0.000020460402,0.000031753065,0.00079112034],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981906,0.00010327599,0.0005062583,0.00042134261,0.00038921638,0.00038931618],"domain_scores_gemma":[0.9995459,0.000142849,0.000104896615,0.000093460585,0.000012757345,0.000100171455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004994886,0.00019961006,0.00028432286,0.000109094195,0.00013737282,0.000053261567,0.00027168452,0.000041895604,0.00023588986],"category_scores_gemma":[0.00038501836,0.00016827579,0.000036856534,0.0005526688,0.000025031295,0.00023887109,0.00016876668,0.00017372677,0.00053370866],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000968163,0.00042914157,0.020657483,0.0015360207,0.000021108732,0.00006444576,0.0017356394,6.8322873e-7,0.02339441,0.0016293604,0.00452269,0.9459993],"study_design_scores_gemma":[0.00068787084,0.00004513291,0.112476505,0.002779497,0.000015383497,0.00019441434,0.00006182559,0.0001273831,0.04089556,0.000090904934,0.8417292,0.00089629117],"about_ca_topic_score_codex":0.0000017228633,"about_ca_topic_score_gemma":0.00003634796,"teacher_disagreement_score":0.94510305,"about_ca_system_score_codex":0.00026295698,"about_ca_system_score_gemma":0.00017841178,"threshold_uncertainty_score":0.6862087},"labels":[],"label_agreement":null},{"id":"W2096755912","doi":"10.1186/2190-8567-3-11","title":"A Computational Study of Spike Time Reliability in Two Types of Threshold Dynamics","year":2013,"lang":"en","type":"article","venue":"The Journal of Mathematical Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Spike (software development); Amplitude; Point process; Stimulus (psychology); Neuron; Computer science; Jump; SIGNAL (programming language); Statistical physics; Spike train; Physics; Time point; Time constant; Biological system; Neuroscience; Mathematics; Statistics; Acoustics; Biology; Optics","score_opus":0.02637369777262204,"score_gpt":0.289471961983614,"score_spread":0.263098264210992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096755912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972024,0.0000021161316,0.0015911437,0.00045429973,0.00009655966,0.0003147187,0.0000025445213,0.000004683322,0.00033151987],"genre_scores_gemma":[0.99956834,0.0000030865492,0.00021743163,0.00013755931,0.000009418359,0.0000015540671,4.5564008e-8,0.000006204468,0.000056346427],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980685,0.0002259685,0.00071962754,0.00014216728,0.0006933431,0.00015038082],"domain_scores_gemma":[0.9979888,0.0011251494,0.00046893134,0.00022399245,0.00013913529,0.0000539712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010602709,0.00009550067,0.00028043945,0.000110441826,0.000052953248,0.000022262917,0.00056856254,0.000016268856,0.000044864737],"category_scores_gemma":[0.0015534818,0.00005528709,0.000057698322,0.00051165925,0.0003649609,0.00025751075,0.00011705112,0.00023212263,0.000010566104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019545917,0.0045426968,0.0047493083,0.00011845933,0.0000037677464,0.000020576936,0.0012672417,0.22076237,0.7518958,0.015629746,0.00007954761,0.00073503994],"study_design_scores_gemma":[0.00050433195,0.00090356346,0.016574385,0.000047676975,0.000014286208,0.00011241975,0.00012524649,0.8998055,0.0028863868,0.07895595,8.082188e-7,0.000069441005],"about_ca_topic_score_codex":0.000011150763,"about_ca_topic_score_gemma":0.0000029071116,"teacher_disagreement_score":0.7490094,"about_ca_system_score_codex":0.00002489338,"about_ca_system_score_gemma":0.000039269748,"threshold_uncertainty_score":0.22545421},"labels":[],"label_agreement":null},{"id":"W2096845028","doi":"10.1016/s0925-2312(02)00443-5","title":"The role of correlated firing and synchrony in coding information about single and separate objects in cat V1","year":2002,"lang":"en","type":"article","venue":"Neurocomputing","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Stimulus (psychology); Visual cortex; Neuroscience; Coding (social sciences); CATS; Neuronal firing; Computer science; Electrophysiology; Pattern recognition (psychology); Artificial intelligence; Psychology; Mathematics; Cognitive psychology; Statistics","score_opus":0.011966856600086614,"score_gpt":0.20245232886543937,"score_spread":0.19048547226535276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096845028","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99834967,0.00009979833,0.000025769186,0.000058379163,0.00011627803,0.00015547383,6.357625e-7,0.000020483816,0.0011735276],"genre_scores_gemma":[0.9997559,0.00008211174,0.000018026727,0.000114260154,0.000010082237,0.0000018473904,3.5337868e-7,0.0000053429226,0.0000120357245],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999259,0.00006413093,0.00025404213,0.00014887215,0.00009437479,0.00017957359],"domain_scores_gemma":[0.9993794,0.000395526,0.00012215629,0.00006779594,0.000011498609,0.000023645835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013176072,0.00007910481,0.000094232964,0.000097098666,0.00013993117,0.00008585987,0.00006171731,0.000032148047,9.364184e-7],"category_scores_gemma":[0.00022720228,0.000067112276,0.000010626642,0.00027002045,0.000045188644,0.00026825102,0.00008167895,0.0001383561,0.00000212356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032844753,0.0000494246,0.033521134,0.00006876531,0.0000014520541,0.000012649198,0.0036773605,0.012641462,0.6988303,0.0007934341,0.000010941579,0.2503602],"study_design_scores_gemma":[0.00032111106,0.000055825196,0.025639469,0.000074799194,0.0000013122393,0.00002970884,0.0000732679,0.96023965,0.013212019,0.00013266895,0.0001497481,0.000070412054],"about_ca_topic_score_codex":0.000026162821,"about_ca_topic_score_gemma":0.000029057952,"teacher_disagreement_score":0.9475982,"about_ca_system_score_codex":0.000022359458,"about_ca_system_score_gemma":0.0000037977834,"threshold_uncertainty_score":0.27367592},"labels":[],"label_agreement":null},{"id":"W2096870817","doi":"10.1093/cercor/bhu028","title":"Anterior Cingulate Cortex Cells Identify Process-Specific Errors of Attentional Control Prior to Transient Prefrontal-Cingulate Inhibition","year":2014,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; York University","funders":"","keywords":"Anterior cingulate cortex; Prefrontal cortex; Neuroscience; Distraction; Psychology; Attentional control; Disengagement theory; Task (project management); Cognitive psychology; Cognition; Medicine","score_opus":0.014336267647845227,"score_gpt":0.25127738200128863,"score_spread":0.2369411143534434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096870817","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902558,0.00001384306,0.006465508,0.00028272386,0.0013572159,0.0009032257,0.000106620864,0.00011413886,0.0005009299],"genre_scores_gemma":[0.99820656,0.000008635181,0.00008885695,0.0007654687,0.00014684339,0.000032745655,0.000022464563,0.00004884557,0.0006795682],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99716073,0.00014055942,0.0007260132,0.00087232713,0.0006180302,0.0004823209],"domain_scores_gemma":[0.998837,0.00008034548,0.00035487904,0.0003560872,0.0001559431,0.00021576934],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026776074,0.00031582318,0.00043734274,0.00022517692,0.00023229646,0.00009669663,0.00024269443,0.000114492286,0.00026536218],"category_scores_gemma":[0.00007166077,0.00029455192,0.00023057772,0.00039662566,0.00014805856,0.0003406568,0.00005339398,0.000219176,0.00013881881],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028942327,0.0001309897,0.0006727936,0.000087031185,0.000008752065,0.000010445531,0.00020916077,0.00037373818,0.9950296,0.00038451637,0.00015208666,0.0026514488],"study_design_scores_gemma":[0.003402715,0.0009981248,0.5987104,0.00034609428,0.000057505884,0.00007444362,0.00007367089,0.016764762,0.37655434,0.0013158588,0.0009995161,0.0007025305],"about_ca_topic_score_codex":0.000017009133,"about_ca_topic_score_gemma":0.000032668413,"teacher_disagreement_score":0.61847526,"about_ca_system_score_codex":0.000075405194,"about_ca_system_score_gemma":0.00003744154,"threshold_uncertainty_score":0.99995065},"labels":[],"label_agreement":null},{"id":"W2097247951","doi":"10.3389/fncom.2012.00086","title":"Extracting functionally feedforward networks from a population of spiking neurons","year":2012,"lang":"en","type":"article","venue":"Frontiers in Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; Institute for Biological Sciences; University of Ottawa","funders":"","keywords":"DNQX; Feed forward; AMPA receptor; Neuroscience; Antagonist; Physics; Population; Computer science; Biological system; NMDA receptor; Topology (electrical circuits); Biology; Receptor; Mathematics","score_opus":0.029168135767791644,"score_gpt":0.2582836131411848,"score_spread":0.22911547737339316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097247951","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6942103,0.00004719569,0.29980093,0.00020372745,0.005296735,0.00017128777,0.000021710614,0.000048410802,0.00019969657],"genre_scores_gemma":[0.9931071,0.000009709746,0.0056596934,0.0009496515,0.0001884693,0.000008449952,0.000022390801,0.00001750813,0.000037023034],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99796915,0.00015917266,0.00042966756,0.00047106948,0.00057537976,0.00039554396],"domain_scores_gemma":[0.9989207,0.00048577192,0.00028889286,0.00014880454,0.00004954461,0.000106296684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028852792,0.00016173348,0.00019684904,0.00025878902,0.00021077356,0.000058902602,0.00026359907,0.000057948502,0.000011163068],"category_scores_gemma":[0.00081416254,0.00016793761,0.00006608214,0.0010504309,0.00013388526,0.0009209982,0.0000909138,0.00026498557,0.0000026678235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005414504,0.0001511059,0.3452574,0.0000064604624,0.0000013177881,0.0000050934354,0.000055094213,0.6203706,0.025390623,0.0027270322,0.00026695308,0.005714158],"study_design_scores_gemma":[0.00015245618,0.00002867021,0.48776078,0.000013276512,0.0000043203568,0.000010389235,0.00001002635,0.50908977,0.00026996728,0.0023850969,0.00016757818,0.000107697575],"about_ca_topic_score_codex":0.00004793438,"about_ca_topic_score_gemma":0.0000027151775,"teacher_disagreement_score":0.2988968,"about_ca_system_score_codex":0.000071275,"about_ca_system_score_gemma":0.000036567813,"threshold_uncertainty_score":0.6848297},"labels":[],"label_agreement":null},{"id":"W2097281246","doi":"10.3389/fnsys.2014.00006","title":"Spike sorting for polytrodes: a divide and conquer approach","year":2014,"lang":"en","type":"article","venue":"Frontiers in Systems Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Spike sorting; Spike (software development); Computer science; Cluster analysis; Pairwise comparison; Sorting; Pattern recognition (psychology); sort; Set (abstract data type); Cluster (spacecraft); Artificial intelligence; Divide and conquer algorithms; Algorithm","score_opus":0.02715383075502668,"score_gpt":0.2409435456773956,"score_spread":0.21378971492236892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097281246","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42145252,0.000079620004,0.56899005,0.00022475985,0.00613765,0.0011164399,0.000018705257,0.00011745238,0.0018628151],"genre_scores_gemma":[0.9967631,0.000016504264,0.0011779413,0.000932911,0.00012473573,0.00011198129,0.0000010126264,0.000021989845,0.0008498158],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99782,0.0001823648,0.0003557917,0.00086208415,0.0002958821,0.00048383768],"domain_scores_gemma":[0.9992192,0.0001902236,0.00018067051,0.00027293913,0.000022421907,0.000114588816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069980166,0.00018117708,0.00028026325,0.00019242932,0.0002770067,0.00022368474,0.00033245876,0.00006233977,2.335849e-7],"category_scores_gemma":[0.0015217295,0.00015912976,0.000044802615,0.00041595963,0.00027787714,0.00033903948,0.00009087628,0.00014970347,9.645042e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009340434,0.00014777675,0.049000617,0.0003901102,0.0000015608675,0.000010263612,0.0004434651,0.004420012,0.8934679,0.03822782,0.00365094,0.010146126],"study_design_scores_gemma":[0.00069448317,0.00021623477,0.0033527587,0.000048986873,0.0000060921766,0.0000703555,0.00011359112,0.9742629,0.0036231852,0.0013855661,0.015894407,0.00033144982],"about_ca_topic_score_codex":0.000025200723,"about_ca_topic_score_gemma":0.0000013145323,"teacher_disagreement_score":0.96984285,"about_ca_system_score_codex":0.000036920283,"about_ca_system_score_gemma":0.00002159035,"threshold_uncertainty_score":0.6489124},"labels":[],"label_agreement":null},{"id":"W2097347103","doi":"10.1371/journal.pone.0100350","title":"Enhanced Awareness Followed Reversible Inhibition of Human Visual Cortex: A Combined TMS, MRS and MEG Study","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children","funders":"National Institute of Biomedical Imaging and Bioengineering; Biotechnology and Biological Sciences Research Council; Centers for Disease Control and Prevention; National Institutes of Health; Wellcome Trust","keywords":"CTBS; Transcranial magnetic stimulation; Neuroscience; Visual cortex; Inhibitory postsynaptic potential; Blindsight; Long-term potentiation; Magnetoencephalography; Psychology; Stimulation; Gating; Premotor cortex; Cortex (anatomy); Medicine; Visual perception; Primary motor cortex; Electroencephalography; Internal medicine; Perception; Anatomy; Receptor","score_opus":0.04367370382812932,"score_gpt":0.2702743798924869,"score_spread":0.2266006760643576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097347103","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99888396,0.000002029636,0.00011272799,0.000060334947,0.00006932746,0.0004481657,0.000005393422,0.000054508055,0.00036352375],"genre_scores_gemma":[0.99941224,0.0000059754434,0.00001891852,0.00012411538,0.00002625544,0.000020766582,0.000008486495,0.000013761145,0.0003695121],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988723,0.00012847617,0.00020909408,0.0003250321,0.0003221068,0.00014298632],"domain_scores_gemma":[0.9994862,0.000112776026,0.0001286369,0.00016236656,0.000057767793,0.000052271553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016373413,0.00010759673,0.00024575085,0.00008663768,0.00016610629,0.000027105321,0.00006896776,0.000038599293,0.000018423925],"category_scores_gemma":[0.00019512176,0.0001040035,0.000027788854,0.00020938445,0.00006134972,0.00013598303,0.000068299465,0.00008756515,0.000006368153],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007485193,0.0024560762,0.0030220407,0.00005289316,0.000012760834,0.0000021009225,0.00013108268,0.0000012125982,0.99373794,0.00040658368,0.000011157848,0.00009130304],"study_design_scores_gemma":[0.0018677554,0.0032065257,0.027687626,0.00009422637,0.000070568705,5.094957e-7,0.00008280146,0.0030255127,0.96325326,0.0005585208,0.0000015920747,0.00015112695],"about_ca_topic_score_codex":0.000041939813,"about_ca_topic_score_gemma":0.00004608852,"teacher_disagreement_score":0.030484702,"about_ca_system_score_codex":0.000016950364,"about_ca_system_score_gemma":0.000010709168,"threshold_uncertainty_score":0.42411396},"labels":[],"label_agreement":null},{"id":"W2097460835","doi":"10.1093/cercor/bht050","title":"A Long-Range Fronto-Parietal 5- to 10-Hz Network Predicts \"Top-Down\" Controlled Guidance in a Task-Switch Paradigm","year":2013,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":114,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; Robarts Clinical Trials; Western University","funders":"Canadian Institutes of Health Research","keywords":"Prefrontal cortex; Neuroscience; Stimulus (psychology); Posterior parietal cortex; Psychology; Parietal lobe; Cognition; Electroencephalography; Task (project management); Brain activity and meditation; Cognitive psychology","score_opus":0.014088174173816321,"score_gpt":0.23260161301355867,"score_spread":0.21851343883974234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097460835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98791957,0.00016919358,0.0008372293,0.001968074,0.0013424889,0.0022716885,0.00003066026,0.00018845093,0.005272623],"genre_scores_gemma":[0.9879082,0.000012492474,0.000117693024,0.004191944,0.00044714977,0.0004379799,0.00001639123,0.000044798082,0.006823359],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996909,0.00019528535,0.0006118561,0.0009156904,0.0004629599,0.00090521225],"domain_scores_gemma":[0.9986131,0.00025430787,0.00019501155,0.00054253003,0.000059516384,0.00033553562],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00024951846,0.0003673093,0.0006003379,0.000121600184,0.00019396815,0.00023564379,0.0004866988,0.00015582121,0.0009837137],"category_scores_gemma":[0.0004793092,0.00030994328,0.0001759263,0.0005750976,0.00009682813,0.0004933134,0.00016526926,0.00032826827,0.0012380566],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009035986,0.0018951528,0.38418725,0.000282535,0.00017637815,0.0011038214,0.0016348843,0.008211721,0.22146058,0.033946127,0.300669,0.03739653],"study_design_scores_gemma":[0.012512173,0.0012615009,0.79688686,0.00019712547,0.00005900645,0.00010517039,0.000030638537,0.1672732,0.0005801215,0.009119512,0.01072672,0.0012480015],"about_ca_topic_score_codex":0.00033276377,"about_ca_topic_score_gemma":0.00058881403,"teacher_disagreement_score":0.41269958,"about_ca_system_score_codex":0.000120932134,"about_ca_system_score_gemma":0.00007078709,"threshold_uncertainty_score":0.99993527},"labels":[],"label_agreement":null},{"id":"W2097924980","doi":"10.1016/j.pneurobio.2012.09.002","title":"Theta-associated high-frequency oscillations (110–160Hz) in the hippocampus and neocortex","year":2012,"lang":"en","type":"review","venue":"Progress in Neurobiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":115,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fundação de Apoio à Pesquisa do Rio Grande do Norte; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; McGill University","keywords":"Neocortex; Neuroscience; Hippocampal formation; Hippocampus; GABAergic; Physics; Psychology; Inhibitory postsynaptic potential","score_opus":0.07445221030602941,"score_gpt":0.3267539150575995,"score_spread":0.2523017047515701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097924980","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029792473,0.96549433,8.163492e-7,0.00051567017,0.0016453966,0.0019866494,0.00009978789,0.000080021644,0.00038482816],"genre_scores_gemma":[0.16749564,0.83138096,0.000011183015,0.00042961616,0.00010400441,0.00041451605,0.00008109233,0.0000457481,0.000037232498],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99542093,0.0022488288,0.00071635656,0.0008115376,0.00014884616,0.0006534824],"domain_scores_gemma":[0.9975113,0.0014864601,0.00050337514,0.00042153784,0.00002115341,0.000056170597],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00062299886,0.00045032692,0.001032621,0.00034801487,0.00014571681,0.00007713813,0.0005796096,0.00044112833,0.000023595634],"category_scores_gemma":[0.00036397218,0.00028239717,0.00016421183,0.0009386934,0.00042498452,0.0001297475,0.00020006117,0.0010273517,0.00003307828],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004933446,0.00018718252,0.0026733936,0.0005140235,0.000010101644,0.00006126239,0.000057932775,7.3418124e-7,0.000036320213,0.0037601998,0.000019571202,0.99267435],"study_design_scores_gemma":[0.0035758608,0.0020218939,0.047239758,0.0066640642,0.0018654914,0.0033599038,0.000043176475,0.0004955567,0.000018371657,0.13655713,0.7933346,0.0048242067],"about_ca_topic_score_codex":0.000021607342,"about_ca_topic_score_gemma":0.00009503837,"teacher_disagreement_score":0.9878501,"about_ca_system_score_codex":0.00007733798,"about_ca_system_score_gemma":0.00006965908,"threshold_uncertainty_score":0.9999628},"labels":[],"label_agreement":null},{"id":"W2097996618","doi":"10.1523/jneurosci.1875-10.2010","title":"Neuronal Population Coding of Parametric Working Memory","year":2010,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":211,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Azrieli Foundation; Howard Hughes Medical Institute","keywords":"Stimulus (psychology); Neuroscience; Population; Facilitation; Prefrontal cortex; Somatosensory system; Working memory; Psychology; Cognition; Cognitive psychology; Medicine","score_opus":0.05272916559863924,"score_gpt":0.2833888611467361,"score_spread":0.23065969554809687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097996618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944285,0.0000042127426,0.0005004738,0.0002652609,0.004369974,0.00006447201,0.0000014431245,0.000011833886,0.00035384257],"genre_scores_gemma":[0.99893445,0.000026219797,0.00024210829,0.00055827596,0.00015601973,4.0285795e-7,8.742095e-8,0.000009569361,0.000072839226],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998309,0.00008592137,0.00048608283,0.00022871235,0.000684142,0.0002061344],"domain_scores_gemma":[0.9985203,0.00038779702,0.0007427489,0.00016675571,0.00007661233,0.00010575887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048159627,0.00010181408,0.00018377727,0.00040686055,0.00014678057,0.00007424207,0.00045027697,0.00004162879,0.000011005414],"category_scores_gemma":[0.0031680248,0.00008292977,0.00011112027,0.001117544,0.00015391545,0.00046997864,0.00006543636,0.0005135627,0.000001621822],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023031902,0.000049883274,0.004275562,0.0000054637303,2.3598167e-7,0.000022738452,0.000012964019,0.0006417176,0.9884339,0.0010734923,0.00002104686,0.0054399534],"study_design_scores_gemma":[0.000550217,0.0006785034,0.53836143,0.000056184712,0.000018931836,0.0012656562,0.000014203605,0.03724252,0.41881055,0.0016569893,0.0011053003,0.00023949098],"about_ca_topic_score_codex":0.0000043471277,"about_ca_topic_score_gemma":0.0000018414486,"teacher_disagreement_score":0.56962335,"about_ca_system_score_codex":0.000014537725,"about_ca_system_score_gemma":0.000043956024,"threshold_uncertainty_score":0.37926504},"labels":[],"label_agreement":null},{"id":"W2098051763","doi":"10.1016/j.neuropsychologia.2013.08.003","title":"Distinct electrophysiological indices of maintenance in auditory and visual short-term memory","year":2013,"lang":"en","type":"article","venue":"Neuropsychologia","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Neurological Institute and Hospital; Institut Universitaire de Gériatrie de Montréal; Université de Montréal; McGill University; International Laboratory for Brain, Music and Sound Research","funders":"Canadian Institutes of Health Research","keywords":"Psychology; Electrophysiology; Negativity effect; Echoic memory; Short-term memory; Task (project management); Visual short-term memory; Neuroscience; Term (time); Audiology; Visual memory; Working memory; Cognitive psychology; Cognition","score_opus":0.018348648683721006,"score_gpt":0.27241898909562806,"score_spread":0.25407034041190707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098051763","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99757004,0.000010263099,0.000021692222,0.00013325088,0.00048516403,0.00023868363,0.0000033127053,0.00004735453,0.0014902577],"genre_scores_gemma":[0.99901783,0.000059842037,0.000018664274,0.0006591407,0.000076041906,0.000025828558,0.0000014490568,0.00001211511,0.00012906351],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986328,0.00017228686,0.00025192573,0.0005098458,0.00014569337,0.00028747512],"domain_scores_gemma":[0.9994712,0.00020676927,0.000091360176,0.00015209065,0.000021389538,0.000057224777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007837369,0.00014641407,0.00019510741,0.00009143778,0.00004958243,0.000026641936,0.00018157675,0.00007818822,0.000073654766],"category_scores_gemma":[0.00028164542,0.00010807474,0.00003794173,0.00024307713,0.00028392472,0.0001442796,0.00008381271,0.0002951031,0.000031269097],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006375105,0.00011503366,0.00965501,0.000009910294,7.9645383e-7,0.000037580947,0.000011179627,0.0000020965008,0.977636,0.000095990705,0.0002813462,0.012091346],"study_design_scores_gemma":[0.00022169981,0.0007788718,0.9854534,0.000010702408,0.0000019747947,0.000031830896,0.000007315525,0.00075779506,0.012125229,0.00045694425,0.000032898297,0.000121299585],"about_ca_topic_score_codex":0.000010329454,"about_ca_topic_score_gemma":0.0000026357725,"teacher_disagreement_score":0.9757984,"about_ca_system_score_codex":0.000012612006,"about_ca_system_score_gemma":0.000006957926,"threshold_uncertainty_score":0.440716},"labels":[],"label_agreement":null},{"id":"W2099046443","doi":"10.1093/cercor/bht235","title":"In Vitro Recordings of Human Neocortical Oscillations","year":2013,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Krembil Foundation; Toronto General Hospital; Toronto Western Hospital","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Neocortex; Inhibitory postsynaptic potential; Cholinergic; Local field potential; Glutamatergic; Electrophysiology; In vivo; Premovement neuronal activity; Biology; Epilepsy; Cortex (anatomy); Receptor; Glutamate receptor","score_opus":0.024711859176273998,"score_gpt":0.26423475245957745,"score_spread":0.23952289328330345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099046443","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923278,0.000001598624,0.00003982217,0.0006572091,0.00027117078,0.00022094898,0.000004622425,0.000029793338,0.006446996],"genre_scores_gemma":[0.99789375,0.0000015988168,0.00007059177,0.0005997523,0.00004738789,0.0000153737,0.0000031952006,0.000010305926,0.0013580217],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991225,0.00003985808,0.00025354984,0.00024821362,0.00013879729,0.00019707125],"domain_scores_gemma":[0.999593,0.000084318206,0.00007332443,0.00016049382,0.000028942772,0.000059911214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000046049416,0.000084207735,0.00013574169,0.00010045652,0.00006830928,0.000029933188,0.00012071131,0.000046753146,0.00065476634],"category_scores_gemma":[0.00014805228,0.000075447104,0.000052961674,0.00029179876,0.00008386798,0.00029042296,0.000050838324,0.0001310311,0.00012980038],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000763033,0.000033809076,0.0022659826,0.0000052271034,5.731534e-7,0.0000021704695,0.000023339479,0.0000025736392,0.9898797,0.005632134,0.00048417077,0.0016626704],"study_design_scores_gemma":[0.0008792495,0.00032485306,0.33042222,0.000024347855,0.00001027066,0.000026709604,0.00005764792,0.021753626,0.60480297,0.040455636,0.00086532417,0.00037712406],"about_ca_topic_score_codex":0.00022890538,"about_ca_topic_score_gemma":0.000018213243,"teacher_disagreement_score":0.38507673,"about_ca_system_score_codex":0.000027281472,"about_ca_system_score_gemma":0.0000124557955,"threshold_uncertainty_score":0.7169232},"labels":[],"label_agreement":null},{"id":"W2099252376","doi":"10.1038/nature01590","title":"Non-classical receptive field mediates switch in a sensory neuron's frequency tuning","year":2003,"lang":"en","type":"article","venue":"Nature","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":183,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"National Institutes of Health","keywords":"Receptive field; Sensory system; Neuroscience; Stimulus (psychology); Sensory stimulation therapy; Stimulation; Neuron; Surround suppression; Biology; Communication; Psychology; Visual perception; Perception","score_opus":0.014676047055873437,"score_gpt":0.25610742201545844,"score_spread":0.241431374959585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099252376","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9793522,0.000048260095,0.000043904096,0.0036400855,0.0012595648,0.00016694868,0.000005112819,0.00005128828,0.015432646],"genre_scores_gemma":[0.99286956,0.000035310215,0.00013699978,0.0060923332,0.00007499358,0.000008231903,0.0000017319519,0.0000149624975,0.0007658973],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988808,0.00010661911,0.00013665331,0.00039147926,0.0002235184,0.00026094125],"domain_scores_gemma":[0.99925697,0.00044051398,0.000050252194,0.00016376983,0.00002454533,0.00006397676],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.000113438444,0.00013205357,0.00013094948,0.0000995168,0.00007539763,0.00003289737,0.0001348878,0.0005801963,0.00009165093],"category_scores_gemma":[0.001783367,0.00011233581,0.000048798254,0.0003868607,0.00003375589,0.00014276695,0.00002542119,0.0024120426,0.00003611313],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024929774,0.00006164547,0.005875381,0.0000099875615,0.000001352424,0.00013473595,0.00012738904,0.00001481788,0.9824167,0.00861758,0.0013571067,0.0013584066],"study_design_scores_gemma":[0.002987942,0.0011371393,0.0695315,0.00019429282,0.000027650565,0.00023895968,0.0002789989,0.015584245,0.8351477,0.04834984,0.025060987,0.0014607763],"about_ca_topic_score_codex":0.000011354725,"about_ca_topic_score_gemma":0.00005017773,"teacher_disagreement_score":0.147269,"about_ca_system_score_codex":0.000037606853,"about_ca_system_score_gemma":0.00003639373,"threshold_uncertainty_score":0.99988943},"labels":[],"label_agreement":null},{"id":"W2099699635","doi":"10.1093/cercor/bhu082","title":"Coordinated Information Generation and Mental Flexibility: Large-Scale Network Disruption in Children with Autism","year":2014,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto; Baycrest Hospital","funders":"Canadian Institutes of Health Research; James S. McDonnell Foundation","keywords":"Cognitive flexibility; Autism; Cognition; Autism spectrum disorder; Psychology; Magnetoencephalography; Executive functions; Cognitive psychology; Set (abstract data type); Functional magnetic resonance imaging; Neuroimaging; Flexibility (engineering); Developmental psychology; Neuroscience; Computer science; Electroencephalography","score_opus":0.010666436185508109,"score_gpt":0.2240583739468417,"score_spread":0.21339193776133358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099699635","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99497426,0.0000043480964,0.003751128,0.0002901965,0.00020598368,0.0003618299,0.000015471001,0.0000629401,0.00033385333],"genre_scores_gemma":[0.9988771,0.000007843226,0.0001043081,0.0006556669,0.0000711431,0.000012537161,0.00018444296,0.000008063092,0.000078872145],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991224,0.00008524854,0.00018581242,0.000248588,0.00014078418,0.00021718263],"domain_scores_gemma":[0.9997025,0.000016266451,0.00008479875,0.00012954435,0.0000131454035,0.000053741034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017491095,0.00011341226,0.00010742617,0.00005816157,0.00017475511,0.00009735233,0.000056631954,0.000057244142,0.000022568202],"category_scores_gemma":[0.000028113192,0.00009383321,0.000016912833,0.00023798164,0.00005048964,0.0007418551,0.00004311558,0.00012093488,0.000015437783],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002201803,0.00015623847,0.87210786,0.00002603698,0.000010697416,0.0000011348125,0.0005562487,0.0025636493,0.048048437,0.023787841,0.0009394136,0.051582288],"study_design_scores_gemma":[0.0008147586,0.00018054301,0.6398265,0.000008680754,0.0000049051855,0.000025596702,0.000011081723,0.35744712,0.00057403895,0.00062962365,0.00034733172,0.00012984758],"about_ca_topic_score_codex":0.000032884574,"about_ca_topic_score_gemma":0.00018079381,"teacher_disagreement_score":0.35488346,"about_ca_system_score_codex":0.00004326618,"about_ca_system_score_gemma":0.000009384352,"threshold_uncertainty_score":0.38264072},"labels":[],"label_agreement":null},{"id":"W2099751838","doi":"10.3389/fnbeh.2013.00096","title":"Reassessing pattern separation in the dentate gyrus","year":2013,"lang":"en","type":"article","venue":"Frontiers in Behavioral Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":114,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Dentate gyrus; Separation (statistics); Neuroscience; Psychology; Computer science; Hippocampus; Machine learning","score_opus":0.05061146933964091,"score_gpt":0.323783741851048,"score_spread":0.27317227251140713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099751838","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99337703,0.000008096435,0.0029146236,0.00071259186,0.002231748,0.00048997614,0.0000051727184,0.000035525867,0.00022523702],"genre_scores_gemma":[0.99693453,0.000022465943,0.00016300882,0.0025895045,0.000025409885,0.000083888895,0.0000019669606,0.0000113696615,0.00016785535],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998032,0.00026862754,0.0002820338,0.00055863074,0.00043855153,0.000420155],"domain_scores_gemma":[0.9994995,0.00004592087,0.00009673361,0.00028878186,0.000015634265,0.000053452302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024927472,0.00015325812,0.00013286431,0.00021113953,0.00019331189,0.00038515878,0.00059080013,0.000047176414,0.0000113428105],"category_scores_gemma":[0.000099177996,0.00011530387,0.00004041294,0.000996358,0.00021020675,0.0010896202,0.00007019574,0.00031236195,0.000020192936],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000873206,0.00026114768,0.4017996,0.000004814108,6.507675e-8,0.00012922853,0.0004214469,0.00031170298,0.54331964,0.00006334893,0.0016340364,0.052046243],"study_design_scores_gemma":[0.00045778745,0.00020217682,0.91498834,0.00002734381,0.000005077073,0.000090425856,0.00036856535,0.06931913,0.012359075,0.0012245182,0.000624011,0.00033356852],"about_ca_topic_score_codex":0.00030209403,"about_ca_topic_score_gemma":0.00005848808,"teacher_disagreement_score":0.53096056,"about_ca_system_score_codex":0.00007286337,"about_ca_system_score_gemma":0.000025947596,"threshold_uncertainty_score":0.47019553},"labels":[],"label_agreement":null},{"id":"W2099855994","doi":"10.1186/1471-2202-14-s1-o2","title":"Trial-to-trial tracking of excitatory and inhibitory synaptic conductance using Gaussian-mixture Kalman filtering","year":2013,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Inhibitory postsynaptic potential; Excitatory postsynaptic potential; Kalman filter; Neuroscience; Conductance; Gaussian; Computer science; Artificial intelligence; Psychology; Mathematics; Chemistry; Combinatorics","score_opus":0.085414243239612,"score_gpt":0.2923165662160938,"score_spread":0.2069023229764818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099855994","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99401754,0.000024288562,0.0016146329,0.00009272149,0.0028292635,0.0011926444,0.0000070827723,0.00006604137,0.00015577451],"genre_scores_gemma":[0.9982106,0.000011239916,0.0005207436,0.0008714024,0.00018249148,0.000039462993,1.8772457e-7,0.000025628173,0.00013822397],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99762493,0.00018808922,0.00043644314,0.0008439199,0.00046878084,0.00043781046],"domain_scores_gemma":[0.99880666,0.00033112048,0.00023983179,0.00036935322,0.000051969546,0.00020104798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027753256,0.00022578627,0.00027618618,0.0002027143,0.00029544995,0.00019287715,0.00038043802,0.000071613635,0.000019188845],"category_scores_gemma":[0.0016259522,0.00020458705,0.000072409406,0.0006323846,0.00039151954,0.0008351424,0.00019284253,0.0002233877,0.000010025677],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017011968,0.00004353573,0.00012943873,0.00003652662,4.113546e-7,0.000008176694,0.000062005245,0.00023291694,0.9969628,0.00040370732,0.000031697913,0.00038758857],"study_design_scores_gemma":[0.07685976,0.0044814358,0.018972324,0.0004599985,0.000051780262,0.00034696376,0.00020399259,0.11182845,0.7822144,0.001963285,0.00084163813,0.0017759928],"about_ca_topic_score_codex":0.000023365457,"about_ca_topic_score_gemma":0.0000047399662,"teacher_disagreement_score":0.21474841,"about_ca_system_score_codex":0.000034841378,"about_ca_system_score_gemma":0.000084936546,"threshold_uncertainty_score":0.8342818},"labels":[],"label_agreement":null},{"id":"W2099899102","doi":"10.1007/s00221-007-1127-5","title":"Asynchrony from synchrony: long-range gamma-band neural synchrony accompanies perception of audiovisual speech asynchrony","year":2007,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":59,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Asynchrony (computer programming); Stimulus onset asynchrony; Perception; Speech perception; Speech recognition; Computer science; Synchronization (alternating current); Stimulus (psychology); Phase synchronization; Psychology; Neuroscience; Dissociation (chemistry); Cognitive psychology; Asynchronous communication; Communication","score_opus":0.07194057922213562,"score_gpt":0.3893669282840133,"score_spread":0.3174263490618777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099899102","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99096745,0.0006942411,0.00063622283,0.00090219633,0.00096922676,0.0011123841,0.00010503077,0.00019318619,0.004420032],"genre_scores_gemma":[0.9966829,0.00005587671,0.0002962217,0.000616478,0.0008890361,0.00005884223,0.00007920133,0.000111809546,0.0012096447],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99259055,0.0008871802,0.00091487763,0.0015010391,0.002536861,0.0015695142],"domain_scores_gemma":[0.9958814,0.0023038764,0.00024209564,0.000912532,0.00021096285,0.00044915464],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0021666454,0.0005457664,0.00062365446,0.0006834296,0.00072855235,0.00027658942,0.0010289078,0.00031659348,0.002843256],"category_scores_gemma":[0.00087873865,0.0005223206,0.0003100641,0.0011494922,0.001373693,0.0008078525,0.000548102,0.0010684133,0.0004458595],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006325586,0.0006722631,0.0033136532,0.00005222882,0.000025630377,0.00026996582,0.0009828458,0.000036607984,0.97698605,0.0003112852,0.004130284,0.012586611],"study_design_scores_gemma":[0.0019350394,0.0016274651,0.07483718,0.000112873466,0.000012540659,0.000118272204,0.0025250153,0.00506544,0.9120057,0.00022105579,0.000900809,0.00063861],"about_ca_topic_score_codex":0.0010583272,"about_ca_topic_score_gemma":0.00018020213,"teacher_disagreement_score":0.071523525,"about_ca_system_score_codex":0.0009077712,"about_ca_system_score_gemma":0.00015646376,"threshold_uncertainty_score":0.99972284},"labels":[],"label_agreement":null},{"id":"W2100011756","doi":"10.1186/1471-2202-15-s1-p14","title":"The “tweaking principle” for task switching","year":2014,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Office of Naval Research; John Simon Guggenheim Memorial Foundation","keywords":"Tweaking; Categorization; Neuroscience; Sensory system; Computer science; Task switching; Action selection; Prefrontal cortex; Task (project management); Cognition; Artificial intelligence; Psychology","score_opus":0.04930821382997324,"score_gpt":0.29800875060713317,"score_spread":0.24870053677715992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100011756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69334584,0.000006660693,0.29891282,0.0010071495,0.0040892665,0.00064739527,0.000005767597,0.00020366226,0.0017814431],"genre_scores_gemma":[0.9957832,0.000008003418,0.00025756855,0.0026943933,0.00016137405,0.00004986959,2.177392e-7,0.00001817517,0.0010272082],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99823093,0.00012850245,0.00021234441,0.00060960854,0.00034883627,0.0004698026],"domain_scores_gemma":[0.9979051,0.0014327293,0.00013887197,0.00040859953,0.000028432407,0.00008628581],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.000678197,0.00013522897,0.00009665266,0.000045260334,0.0015284773,0.00036821992,0.00068731897,0.000027233404,0.0000010192629],"category_scores_gemma":[0.0053054667,0.00008967733,0.000082262886,0.00034657185,0.00015616485,0.00026359365,0.00015361552,0.00014178944,0.0000137198185],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016621954,0.000013122035,0.0003172527,0.000007883219,8.172387e-8,5.799757e-7,0.000014757661,0.0005728738,0.9278099,0.064497486,0.000056278448,0.00669315],"study_design_scores_gemma":[0.0003357647,0.00023410276,0.0060886643,0.00001367167,0.0000049039927,0.00004258511,0.000008716749,0.695366,0.06723518,0.0071049347,0.22330275,0.00026272304],"about_ca_topic_score_codex":0.000002797357,"about_ca_topic_score_gemma":0.000014000547,"teacher_disagreement_score":0.8605747,"about_ca_system_score_codex":0.000020607,"about_ca_system_score_gemma":0.00003851176,"threshold_uncertainty_score":0.9997714},"labels":[],"label_agreement":null},{"id":"W2100646696","doi":"10.1162/neco_a_00367","title":"Information-Geometric Measures for Estimation of Connection Weight Under Correlated Inputs","year":2012,"lang":"en","type":"article","venue":"Neural Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Property (philosophy); Connection (principal bundle); Measure (data warehouse); Spike (software development); Artificial neural network; Synaptic weight; Computer science; Neuron; Population; Mathematics; Artificial intelligence; Biological system; Pattern recognition (psychology); Algorithm; Neuroscience; Geometry; Data mining; Biology","score_opus":0.03404738626568102,"score_gpt":0.27168726181204406,"score_spread":0.23763987554636304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100646696","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61763257,0.000010460444,0.38030106,0.00021488097,0.001237163,0.00035149464,0.000012433212,0.0000770134,0.00016292687],"genre_scores_gemma":[0.99874395,0.0000047737885,0.00042775212,0.0005798812,0.00006547811,0.000021246904,0.00012752869,0.000010011519,0.000019367584],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990003,0.0000753304,0.000346625,0.00010896559,0.00027900192,0.00018975204],"domain_scores_gemma":[0.99897903,0.00044594324,0.0002899045,0.00007554388,0.00015394698,0.000055623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001933659,0.00011206141,0.00012619329,0.00036557685,0.00014987486,0.000042708383,0.00006412478,0.00007237532,0.000007676513],"category_scores_gemma":[0.0005017965,0.00010321551,0.00006177498,0.00076814485,0.000032278505,0.0014055152,0.000017273123,0.00009002289,0.00002290244],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020766386,0.0001389797,0.0008641277,0.000113830865,0.000011039585,1.248978e-7,0.00035285,0.7694554,0.057081643,0.009275474,0.00077439786,0.16172446],"study_design_scores_gemma":[0.0006648463,0.00019480754,0.009258456,0.000012114926,0.000021404887,0.000016151605,0.000018366962,0.93215656,0.05531677,0.0018979487,0.0003089554,0.00013362236],"about_ca_topic_score_codex":0.0000090127005,"about_ca_topic_score_gemma":7.4758924e-7,"teacher_disagreement_score":0.38111138,"about_ca_system_score_codex":0.000057357753,"about_ca_system_score_gemma":0.000015029985,"threshold_uncertainty_score":0.42090064},"labels":[],"label_agreement":null},{"id":"W2100695267","doi":"10.1186/1471-2202-14-s1-o8","title":"Propagating waves structure spatiotemporal activity in visual cortex of the awake monkey","year":2013,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Centre National de la Recherche Scientifique","keywords":"Neocortex; Neuroscience; Visual cortex; Stimulus (psychology); Sensory system; Stimulation; Physics; Psychology; Cognitive psychology","score_opus":0.028005879151295605,"score_gpt":0.2629417360941825,"score_spread":0.23493585694288688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100695267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981235,0.0000010254685,0.00016084536,0.00021559479,0.00076608034,0.00053630566,0.000010079324,0.000029085699,0.00015745265],"genre_scores_gemma":[0.99922276,0.0000016892839,0.00005866267,0.0004231825,0.000026747026,0.000012526,2.100921e-7,0.000011031662,0.00024321058],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99827963,0.00020462937,0.00023593192,0.0005140542,0.0004686052,0.00029716938],"domain_scores_gemma":[0.99922335,0.00015786379,0.00023445558,0.0002957661,0.000033197302,0.00005534062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010795495,0.00014372905,0.00014278611,0.000075147414,0.00019166153,0.000089247296,0.00046308408,0.000044864595,0.000018303035],"category_scores_gemma":[0.001044777,0.00009510526,0.000055484194,0.00084483455,0.0003473888,0.0005277381,0.00020684545,0.0002520592,0.0000040874093],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000049851756,0.00004442045,0.045991797,0.000015723066,6.219941e-8,0.0000012832222,0.00002642584,0.00034726463,0.95154536,0.00020508324,0.000009561565,0.0018080665],"study_design_scores_gemma":[0.00009287616,0.000048936923,0.5309917,0.000011177524,7.748609e-7,0.00000790779,0.0000078770045,0.100152954,0.36826354,0.00033698956,0.000012392188,0.000072913295],"about_ca_topic_score_codex":0.0001906504,"about_ca_topic_score_gemma":0.000115228846,"teacher_disagreement_score":0.58328176,"about_ca_system_score_codex":0.000026030752,"about_ca_system_score_gemma":0.00008757867,"threshold_uncertainty_score":0.38782796},"labels":[],"label_agreement":null},{"id":"W2101101880","doi":"10.1073/pnas.0900573106","title":"Ruling out and ruling in neural codes","year":2009,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":184,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institutes of Health; Arnold and Mabel Beckman Foundation","keywords":"Computer science; Neural coding; Coding (social sciences); Spike (software development); Spike train; Decoding methods; Train; Artificial intelligence; Algorithm; Mathematics; Statistics","score_opus":0.06462184964547141,"score_gpt":0.31627341246503055,"score_spread":0.25165156281955914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101101880","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919829,0.00003647305,6.0701535e-7,0.005047635,0.00002742593,0.00008477253,0.0000026759997,0.000008196175,0.0028093094],"genre_scores_gemma":[0.9989791,0.000034403685,0.00019071129,0.0006911965,0.000034473873,0.0000011560304,1.4513637e-8,0.0000014805173,0.00006746708],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988958,0.000005403138,0.00021552644,0.00021375732,0.0005517281,0.00011775694],"domain_scores_gemma":[0.9996233,0.00010893918,0.00019750156,0.0000036206998,0.0000470717,0.000019562634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060454506,0.000060877035,0.00009238466,0.00013062269,0.00014168394,0.000028261376,0.00032580525,0.000035917503,0.000001956409],"category_scores_gemma":[0.0008539705,0.000040709165,0.000028270251,0.00045729487,0.00029112355,0.00043658222,0.00005650742,0.00013336855,2.97494e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008507122,0.000015761054,0.0043721218,0.000010447958,3.1730335e-7,7.2388127e-9,0.000098133154,0.0002457173,0.9642419,0.029687636,0.000020766432,0.001298659],"study_design_scores_gemma":[0.00020320687,0.000087815366,0.17185618,0.000076305194,0.0000033546942,0.00001566876,0.00008956675,0.094897985,0.57940334,0.15322556,0.000034218327,0.00010681649],"about_ca_topic_score_codex":0.0000014749083,"about_ca_topic_score_gemma":7.0317974e-8,"teacher_disagreement_score":0.3848386,"about_ca_system_score_codex":0.000012952071,"about_ca_system_score_gemma":0.000006411369,"threshold_uncertainty_score":0.16600716},"labels":[],"label_agreement":null},{"id":"W2101158159","doi":"10.1109/jproc.2014.2306061","title":"Large-Scale Synthesis of Functional Spiking Neural Circuits","year":2014,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Pointer (user interface); Set (abstract data type); Simple (philosophy); Artificial intelligence; Models of neural computation; Software; Nonlinear system; Computation; Construct (python library); Artificial neural network; Theoretical computer science; Machine learning; Algorithm; Programming language","score_opus":0.02168358991091063,"score_gpt":0.21808458284096377,"score_spread":0.19640099293005314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101158159","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921773,0.0000027309425,0.00012237128,0.00044509218,0.000764491,0.00010638463,0.000008222508,0.000029804598,0.0063436017],"genre_scores_gemma":[0.99917877,0.0000025574086,0.000020988573,0.00028665055,0.00012973382,0.000008144694,9.7729135e-8,0.000013117295,0.00035992492],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999028,0.000010728945,0.00021057815,0.00022953034,0.00033868785,0.0001824239],"domain_scores_gemma":[0.9993623,0.0001715144,0.00024591427,0.000090014226,0.00009783257,0.000032450433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025514382,0.00009695552,0.00015121119,0.000057725596,0.00012592247,0.00002151592,0.00029605802,0.000042435415,0.000018610393],"category_scores_gemma":[0.00074498594,0.000068570436,0.00011495325,0.00026075877,0.00008899326,0.00017182063,0.00007027743,0.00011543104,0.000004490288],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015320644,0.00004314793,0.0025798976,0.00006061717,0.0000022779943,3.9922927e-8,0.000057928064,0.00007665033,0.99195915,0.0032554418,0.00040913478,0.0015404009],"study_design_scores_gemma":[0.00014698747,0.00004983652,0.0102051385,0.000051752948,0.000019333587,0.000012891219,0.000040658913,0.022839272,0.96399003,0.0020952118,0.000458675,0.00009021328],"about_ca_topic_score_codex":0.0000031110048,"about_ca_topic_score_gemma":0.0000012117574,"teacher_disagreement_score":0.027969114,"about_ca_system_score_codex":0.000015514965,"about_ca_system_score_gemma":0.000007596361,"threshold_uncertainty_score":0.2796221},"labels":[],"label_agreement":null},{"id":"W2101218723","doi":"10.1152/jn.90300.2008","title":"Temporal Processing Across Multiple Topographic Maps in the Electrosensory System","year":2008,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":117,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Institute of Neurological Disorders and Stroke; Canadian Institutes of Health Research","keywords":"Sensory system; Stimulus (psychology); Neuroscience; Vertebrate; Computer science; Biological system; Biology; Psychology","score_opus":0.03640796897551939,"score_gpt":0.26433663465620694,"score_spread":0.22792866568068754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101218723","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99897283,0.00001981724,0.000031618492,0.00033650486,0.00045510146,0.000097786826,0.0000028813033,0.000015316302,0.00006811212],"genre_scores_gemma":[0.998549,0.000059292583,0.000026177471,0.0010971052,0.0002232651,0.0000024606431,4.9099714e-7,0.00001265523,0.000029560098],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984819,0.00041002932,0.00039989097,0.00019357096,0.0002230593,0.0002915447],"domain_scores_gemma":[0.999147,0.00027745933,0.00033550806,0.00014294655,0.00005888164,0.000038189028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010815985,0.000118450145,0.00023283162,0.00011551762,0.0002449235,0.000025556861,0.0003422166,0.000052004318,9.856648e-7],"category_scores_gemma":[0.0002191225,0.00007265452,0.00011968204,0.00044483753,0.0001639886,0.00016705981,0.000031845844,0.0005050195,0.0000054334955],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017686258,0.00007902297,0.0010118566,0.0000207471,0.0000014214003,0.0011710565,0.00022477214,0.00045739478,0.99627054,0.00008260961,0.000044567074,0.00045915652],"study_design_scores_gemma":[0.0055484152,0.0069703665,0.81276387,0.000200707,0.000036685575,0.06556582,0.0013782757,0.038900312,0.059117723,0.0015712109,0.007064458,0.0008821841],"about_ca_topic_score_codex":0.0000061468577,"about_ca_topic_score_gemma":0.0000026856412,"teacher_disagreement_score":0.9371528,"about_ca_system_score_codex":0.000023126178,"about_ca_system_score_gemma":0.000039724466,"threshold_uncertainty_score":0.29627654},"labels":[],"label_agreement":null},{"id":"W2101245252","doi":"10.1111/ejn.12842","title":"Spatio‐temporal response properties of local field potentials in the primate superior colliculus","year":2015,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Canadian Institutes of Health Research","keywords":"Superior colliculus; Local field potential; Neuroscience; Midbrain; Primate; Neurophysiology; Psychology; Superior Colliculi; Electrophysiology; Visual field; Visual cortex; Visual system; Central nervous system","score_opus":0.07055340636300686,"score_gpt":0.26931898111699876,"score_spread":0.1987655747539919,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101245252","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943337,0.00003181966,0.0014851888,0.0029164918,0.0007798686,0.00014335841,0.0000026535304,0.000008708356,0.0002982061],"genre_scores_gemma":[0.99753976,0.000018572922,0.000052330044,0.0022184146,0.000051495095,7.6345526e-7,7.008469e-8,0.00001209947,0.00010647091],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99621075,0.0020434798,0.0005919763,0.00021693528,0.0007140259,0.00022283207],"domain_scores_gemma":[0.99897385,0.00018270017,0.00039205488,0.0002257655,0.0001218647,0.000103783095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032052496,0.00012020686,0.00018583918,0.00016946413,0.000094342,0.00011082383,0.0008190731,0.000014604524,0.0000027134708],"category_scores_gemma":[0.0029380934,0.00007175271,0.000079224694,0.00058243045,0.00033446218,0.00041440388,0.00011024505,0.0002616517,0.0000070090073],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010211692,0.000095793024,0.00026132292,0.0000074125296,3.6201763e-7,0.0006670983,0.00053423626,0.0010265154,0.9948785,0.0000755037,0.00023189688,0.0012002372],"study_design_scores_gemma":[0.002153096,0.008231271,0.05488611,0.00023393394,0.000019397472,0.003462889,0.0010981053,0.010065508,0.9052925,0.00012605915,0.014054185,0.00037692176],"about_ca_topic_score_codex":0.000007693741,"about_ca_topic_score_gemma":0.000003024386,"teacher_disagreement_score":0.08958593,"about_ca_system_score_codex":0.000029666437,"about_ca_system_score_gemma":0.0001450489,"threshold_uncertainty_score":0.35173845},"labels":[],"label_agreement":null},{"id":"W2101422901","doi":"10.1073/pnas.0138051100","title":"Mexican hats and pinwheels in visual cortex","year":2003,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":135,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University; Alfred P. Sloan Foundation","keywords":"Visual cortex; Isotropy; Lateral geniculate nucleus; Lateral inhibition; Cortex (anatomy); Orientation (vector space); Orientation column; Physics; Neuroscience; Excitation; Optics; Biology; Geometry; Mathematics; Striate cortex","score_opus":0.04780733964944678,"score_gpt":0.3153644164152881,"score_spread":0.26755707676584134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101422901","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99068844,0.00001638144,4.0669758e-7,0.0012786895,0.000022348948,0.0000970923,0.0000025201568,0.0000047297067,0.0078894],"genre_scores_gemma":[0.999168,0.000025084233,0.000113358736,0.00054356473,0.000011549366,0.0000030299298,9.059398e-9,0.0000018745267,0.00013353818],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99889475,0.000008811539,0.00018020248,0.00021536715,0.0005923219,0.00010855468],"domain_scores_gemma":[0.9996274,0.00012766526,0.00017348511,0.0000030959127,0.00004577094,0.000022563167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067467574,0.000055646633,0.0000842239,0.00012496836,0.00011185306,0.000021490458,0.00023763235,0.000035658348,0.0000067780984],"category_scores_gemma":[0.0011066181,0.000036855767,0.000023330751,0.0006790487,0.00059544225,0.00032028495,0.000049287668,0.00010211483,4.671151e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000042307142,0.000022746528,0.0055196383,0.000010329045,4.4708366e-7,4.72128e-9,0.00003595856,0.00001473122,0.82947713,0.16464558,0.000033575503,0.00023560396],"study_design_scores_gemma":[0.00015434717,0.000060625545,0.15886772,0.000033753528,0.0000019478236,0.000014157714,0.000058572714,0.0033074394,0.7372672,0.10000841,0.00016127333,0.00006454031],"about_ca_topic_score_codex":0.0000027733988,"about_ca_topic_score_gemma":7.7369585e-8,"teacher_disagreement_score":0.15334807,"about_ca_system_score_codex":0.000014212089,"about_ca_system_score_gemma":0.00001587763,"threshold_uncertainty_score":0.21939318},"labels":[],"label_agreement":null},{"id":"W2101433872","doi":"10.1152/jn.00196.2012","title":"β- And γ-band EEG power predicts illusory auditory continuity perception","year":2012,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Illusion; Perception; Loudness; Stimulus (psychology); Electroencephalography; Psychology; Auditory perception; Cognitive psychology; Communication; Computer science; Neuroscience; Computer vision","score_opus":0.01788940420875243,"score_gpt":0.2449517374138838,"score_spread":0.22706233320513136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101433872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956234,0.000019250543,0.0000405169,0.00027418882,0.0035005158,0.00005922276,0.0000038171333,0.000012956304,0.0004661034],"genre_scores_gemma":[0.9973413,0.00016189902,0.000020319298,0.0016123044,0.0006756087,7.0425205e-7,2.5589003e-7,0.0000122172005,0.00017542452],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989767,0.00023334015,0.00025780618,0.00014556112,0.00015914121,0.00022742516],"domain_scores_gemma":[0.9992307,0.00020850364,0.00026657232,0.000102054306,0.00005809832,0.0001340732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000846323,0.00010770531,0.00020276825,0.00009171079,0.000091613176,0.000016714366,0.00010888717,0.000066165725,0.000057936537],"category_scores_gemma":[0.00036850883,0.00008123731,0.00007386625,0.00007442882,0.00016488819,0.00035236686,0.000043685235,0.00030626002,0.000021530597],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012585384,0.00007074808,0.00035982297,0.00000624831,0.0000029973628,0.000019363752,0.0001102838,0.000020082638,0.9974519,0.00011688732,0.00053810724,0.0011776885],"study_design_scores_gemma":[0.0005830995,0.0012246598,0.98239195,0.000010977505,0.000020682492,0.0007777135,0.000034130117,0.00020482908,0.0053171567,0.00039841814,0.008910445,0.00012592529],"about_ca_topic_score_codex":8.746525e-7,"about_ca_topic_score_gemma":1.0314631e-7,"teacher_disagreement_score":0.99213475,"about_ca_system_score_codex":0.000020962423,"about_ca_system_score_gemma":0.000016018861,"threshold_uncertainty_score":0.33127615},"labels":[],"label_agreement":null},{"id":"W2101433970","doi":"10.1109/cdc.2008.4738729","title":"Clustering neural spike trains with transient responses","year":2008,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Artificial neural network; Spike (software development); Cluster analysis; Computer science; Transient (computer programming); Train; Artificial intelligence; Spiking neural network; Pattern recognition (psychology); Models of neural computation","score_opus":0.055982587827634385,"score_gpt":0.24895177725264359,"score_spread":0.1929691894250092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101433970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9865553,0.0000023055886,0.0046283384,0.001016993,0.00017817116,0.0001330496,0.0000048598563,0.000096084135,0.0073848995],"genre_scores_gemma":[0.9925117,0.000011437452,0.00030852726,0.0016007401,0.00003535738,0.000005740383,6.867595e-7,0.000013162959,0.0055126753],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991521,0.000050112136,0.000110953806,0.00028312166,0.00019497507,0.00020870168],"domain_scores_gemma":[0.99965966,0.00009609479,0.000024420535,0.0001403709,0.000012025054,0.00006745783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000430714,0.0001035229,0.00008698898,0.00006122645,0.000195683,0.00002281138,0.000094531686,0.000022763303,0.0000968471],"category_scores_gemma":[0.000043106822,0.00007075194,0.000039174207,0.00018606527,0.0001010432,0.00014779669,0.000015211027,0.00009433511,0.000023458286],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005701199,0.00008224804,0.00051966973,0.0000075814573,0.000002079524,0.00041275585,0.00045615807,0.0018701795,0.9888783,0.00035119444,0.0002258456,0.006623837],"study_design_scores_gemma":[0.0035746077,0.0034071528,0.10562906,0.000042313837,0.00002713792,0.0071579283,0.00024615898,0.485415,0.37161332,0.000090637084,0.021525634,0.0012710419],"about_ca_topic_score_codex":0.000011395847,"about_ca_topic_score_gemma":0.00004790373,"teacher_disagreement_score":0.617265,"about_ca_system_score_codex":0.000014535282,"about_ca_system_score_gemma":0.00001876617,"threshold_uncertainty_score":0.28851807},"labels":[],"label_agreement":null},{"id":"W2101641746","doi":"10.1113/jphysiol.2006.108514","title":"Electrophysiological diversity of the dorsal raphe cells across the sleep–wake cycle of the rat","year":2006,"lang":"en","type":"article","venue":"The Journal of Physiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":107,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Dorsal raphe nucleus; Neuroscience; Wakefulness; Electrophysiology; Raphe nuclei; Raphe; Biology; Serotonergic; Population; Serotonin; Electroencephalography; Medicine; Receptor","score_opus":0.011799126542965272,"score_gpt":0.2235401233978266,"score_spread":0.21174099685486134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101641746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975899,0.000038568578,0.000022942548,0.0012570738,0.00084415387,0.00014584628,0.000011884108,0.0000037317916,0.000085898326],"genre_scores_gemma":[0.99895734,0.000046573274,0.0000031224624,0.00072820723,0.00015604151,5.282906e-7,1.6494154e-7,0.000005596735,0.0001024458],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982509,0.00078196963,0.00032419254,0.00011962463,0.0002783609,0.0002449767],"domain_scores_gemma":[0.99815875,0.0006531452,0.0007174948,0.00036903837,0.000085847525,0.000015712913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004020921,0.00011793887,0.00023971991,0.000014396998,0.0005943313,0.000007633228,0.0012625903,0.000061675506,0.000024983618],"category_scores_gemma":[0.00010894351,0.000039097748,0.00030480957,0.00029302298,0.00090732815,0.00006121949,0.0006132079,0.0004669213,0.000002690241],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029783533,0.000082976185,0.000111890025,0.000004432768,0.000009310168,5.724517e-7,0.00013188315,0.005678438,0.992328,0.00079621474,0.00043917997,0.00011928182],"study_design_scores_gemma":[0.000352269,0.00040254073,0.12513849,0.000008483489,0.000040690673,0.000031681786,0.000074351774,0.00087492744,0.8582805,0.014464751,0.0002701468,0.00006119598],"about_ca_topic_score_codex":0.00006803242,"about_ca_topic_score_gemma":0.000013822105,"teacher_disagreement_score":0.13404751,"about_ca_system_score_codex":0.000019863617,"about_ca_system_score_gemma":0.00002417634,"threshold_uncertainty_score":0.4571176},"labels":[],"label_agreement":null},{"id":"W2101661428","doi":"10.1007/s00422-011-0433-y","title":"Normalization for probabilistic inference with neurons","year":2011,"lang":"en","type":"article","venue":"Biological Cybernetics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Waterloo","funders":"","keywords":"Normalization (sociology); Inference; Pooling; Computation; Artificial intelligence; Models of neural computation; Computer science; Artificial neural network; Probabilistic logic; Machine learning; Algorithm","score_opus":0.12211741218084667,"score_gpt":0.2673151789008528,"score_spread":0.14519776672000617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101661428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9749775,0.0000037589027,0.020086724,0.0000657401,0.0001537936,0.000480853,0.000019973548,0.000103742386,0.0041079177],"genre_scores_gemma":[0.9978773,0.000018134782,0.0012445933,0.0005022067,0.000031383028,0.000048151927,0.000008402135,0.000007866436,0.0002619587],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9992888,0.000046869194,0.00012224003,0.00028115095,0.000074409814,0.0001865112],"domain_scores_gemma":[0.99948597,0.00023383908,0.00005869495,0.00012327715,0.000044665714,0.000053540978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000051319705,0.00009922382,0.0000864417,0.000019871384,0.0000783633,0.000019720917,0.00013463307,0.00006147067,0.000048767306],"category_scores_gemma":[0.0007467556,0.00006025116,0.000026460273,0.00012450886,0.00013903079,0.000042652082,0.00003691409,0.0000641934,0.000015731497],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006975459,0.0006423892,0.033439267,0.000049814553,0.000006389667,0.00002170526,0.00029817037,0.0004220004,0.22714724,0.72651696,0.00021274218,0.010545756],"study_design_scores_gemma":[0.002945178,0.020900963,0.48959452,0.00007506157,0.000098337,0.00013574884,0.00006168636,0.12595332,0.16104607,0.17356156,0.023643812,0.0019837727],"about_ca_topic_score_codex":0.0000050705266,"about_ca_topic_score_gemma":0.000004330646,"teacher_disagreement_score":0.55295545,"about_ca_system_score_codex":0.000009630515,"about_ca_system_score_gemma":0.0000127202,"threshold_uncertainty_score":0.2456971},"labels":[],"label_agreement":null},{"id":"W2101766473","doi":"10.1186/1756-6606-2-36","title":"Action potential evoked transmitter release in central synapses: insights from the developing calyx of Held","year":2009,"lang":"en","type":"review","venue":"Molecular Brain","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Postsynaptic potential; Neurotransmission; Synapse; Context (archaeology); Biology; Synaptic plasticity; Receptor","score_opus":0.033217858979130856,"score_gpt":0.2841554689588401,"score_spread":0.2509376099797092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101766473","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07125295,0.90925676,0.013287761,0.0021547123,0.0013240734,0.0023091356,0.00013065858,0.00009596866,0.00018798787],"genre_scores_gemma":[0.04335659,0.9518969,0.00012237031,0.0040374757,0.00017450556,0.000052126066,0.00015067519,0.00007922958,0.0001301259],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973283,0.0006554957,0.0006326943,0.00065572537,0.00037899084,0.00034881974],"domain_scores_gemma":[0.9988686,0.0003426592,0.00029675913,0.00040619116,0.000020839132,0.00006497136],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000110050496,0.00037215094,0.00074996916,0.00017656121,0.00008919019,0.00005677513,0.00044437594,0.00028652005,0.000018108565],"category_scores_gemma":[0.000312508,0.00026160167,0.0004352917,0.0006144018,0.00007669644,0.00009772393,0.000052043517,0.0005713425,0.000012844001],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046128724,0.00012136425,0.000001268745,0.0013216725,0.000049996503,0.00068843894,0.00015903464,0.00013668038,0.09528216,0.0018465413,0.0002889359,0.9000578],"study_design_scores_gemma":[0.0025075858,0.00040941258,0.0006527154,0.022648415,0.0010650653,0.00028038304,0.000067918794,0.0039899405,0.04426356,0.011380035,0.9097917,0.002943261],"about_ca_topic_score_codex":0.00013212592,"about_ca_topic_score_gemma":0.00007134612,"teacher_disagreement_score":0.90950274,"about_ca_system_score_codex":0.00014012262,"about_ca_system_score_gemma":0.00019126503,"threshold_uncertainty_score":0.9999836},"labels":[],"label_agreement":null},{"id":"W2101845075","doi":"10.1023/b:jcns.0000037683.55688.7e","title":"Oscillations in Large-Scale Cortical Networks: Map-Based Model","year":2004,"lang":"en","type":"article","venue":"Journal of Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":192,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Bursting; Computer science; Theory of computation; Scale (ratio); Set (abstract data type); Neuroscience; Network model; Computational model; Biological neuron model; Replicate; Artificial intelligence; Physics; Artificial neural network; Algorithm; Biology; Mathematics","score_opus":0.026511538652979387,"score_gpt":0.2750349812715427,"score_spread":0.2485234426185633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101845075","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45706934,0.000005648011,0.5399285,0.0022161806,0.00060637685,0.000076871154,0.0000071197555,0.000013634609,0.000076363656],"genre_scores_gemma":[0.99169624,0.000005806506,0.0037181617,0.004477349,0.00006541704,0.0000014972125,9.554499e-7,0.000009610837,0.000024964884],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99817586,0.0000879938,0.0005023196,0.00026055917,0.00069607014,0.0002772256],"domain_scores_gemma":[0.9990698,0.00030973827,0.0002658807,0.00009361593,0.00012472841,0.0001362374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037092582,0.00011397004,0.00016283117,0.00026062346,0.00021233279,0.00009160369,0.0002938266,0.00003884401,0.000006514552],"category_scores_gemma":[0.00047200476,0.00010018393,0.00009551529,0.00071160076,0.00020121716,0.00044221766,0.000040912884,0.0003682598,0.0000043710575],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035957913,0.00018946105,0.0004868559,0.0000026175894,1.990978e-7,0.000042914115,0.000027360808,0.9725425,0.0152509855,0.011330359,0.000040918156,0.00004983626],"study_design_scores_gemma":[0.0010212103,0.00016067595,0.012575736,0.000024758974,0.0000030894953,0.000099459205,0.000005488275,0.9597613,0.00052573916,0.025650702,0.000076100754,0.000095725496],"about_ca_topic_score_codex":7.481707e-7,"about_ca_topic_score_gemma":0.0000064109695,"teacher_disagreement_score":0.5362103,"about_ca_system_score_codex":0.00008819666,"about_ca_system_score_gemma":0.000306156,"threshold_uncertainty_score":0.4085382},"labels":[],"label_agreement":null},{"id":"W2101848767","doi":"10.1023/a:1014942129705","title":"A Spiking Neuron Model for Binocular Rivalry","year":2002,"lang":"en","type":"review","venue":"Journal of Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":346,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"National Institutes of Health; Alfred P. Sloan Foundation","keywords":"Dominance (genetics); Binocular rivalry; Ocular dominance; Population; Stimulus (psychology); Statistics; Statistical physics; Psychology; Mathematics; Neuroscience; Cognitive psychology; Visual cortex; Visual perception; Physics; Biology; Medicine; Perception","score_opus":0.16201727588120474,"score_gpt":0.355482686739886,"score_spread":0.19346541085868124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101848767","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003076418,0.7111709,0.28062105,0.00041148355,0.0056289337,0.0014483983,0.000157731,0.00007544731,0.0001784072],"genre_scores_gemma":[0.0017238931,0.9926533,0.0032891457,0.001515171,0.00038445118,0.000017620787,0.0000038385956,0.000074852716,0.00033773086],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965751,0.00020136259,0.0011780886,0.00060125283,0.0010633847,0.0003807803],"domain_scores_gemma":[0.9965617,0.0010770599,0.0017777161,0.00020659855,0.00019301492,0.00018388598],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042463336,0.0003885544,0.0009991181,0.0005931956,0.0003169877,0.00025020816,0.00096525636,0.000118389355,0.00000730219],"category_scores_gemma":[0.0012908588,0.00030704637,0.0008775274,0.00078368565,0.00023288303,0.0005241858,0.00011761615,0.000586317,0.0000076062543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022762126,0.00022432944,3.9654276e-7,0.002046915,0.0000068604354,0.0001565749,0.000027008487,0.36914858,0.0008094849,0.007972756,0.0011314692,0.61845285],"study_design_scores_gemma":[0.00020364563,0.00023915069,0.0000014673022,0.00085574255,0.00010182972,0.0012094637,3.58053e-7,0.6850508,0.0000074310715,0.005035353,0.3070598,0.0002350218],"about_ca_topic_score_codex":1.3688907e-7,"about_ca_topic_score_gemma":4.4855256e-8,"teacher_disagreement_score":0.6182178,"about_ca_system_score_codex":0.00009727722,"about_ca_system_score_gemma":0.0003712589,"threshold_uncertainty_score":0.9999382},"labels":[],"label_agreement":null},{"id":"W2102064072","doi":"10.3390/e16084497","title":"Fractal Structure and Entropy Production within the Central Nervous System","year":2014,"lang":"en","type":"article","venue":"Entropy","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Fractal; Statistical physics; Entropy production; Entropy (arrow of time); Mathematics; Computer science; Physics; Mathematical analysis; Thermodynamics","score_opus":0.007493625471209032,"score_gpt":0.1997366345015944,"score_spread":0.19224300903038538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102064072","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99466646,0.000013815741,0.00057723786,0.0015818316,0.0026595262,0.0002583,0.00000834983,0.00010224847,0.00013221274],"genre_scores_gemma":[0.9985053,0.0000046346004,0.00006144936,0.0003993677,0.0007199995,0.0000052230107,0.0000033758056,0.0000147052015,0.0002859354],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988477,0.00017255482,0.00015027168,0.0003565935,0.00023295039,0.00023989854],"domain_scores_gemma":[0.9995021,0.000067722955,0.00011400756,0.0002304838,0.000017696222,0.00006796527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010279942,0.00012870385,0.00010683889,0.0000282559,0.00029506962,0.00011589205,0.00012657093,0.000045647615,0.000015407159],"category_scores_gemma":[0.00028002562,0.00007843728,0.0000338609,0.0001164913,0.00009048573,0.00014017982,0.00004210358,0.00019515384,0.0000143765],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056094857,0.000014760819,0.0014786706,0.000026953905,0.000003940878,0.000005237525,0.00020242456,0.00044990564,0.86367387,0.13141945,0.00044925694,0.0022194362],"study_design_scores_gemma":[0.0012877127,0.00055513106,0.075768694,0.000082002705,0.00008795038,0.0010182488,0.00041350132,0.21929309,0.6779585,0.008122619,0.014699512,0.0007130211],"about_ca_topic_score_codex":0.000021315953,"about_ca_topic_score_gemma":0.0000064034302,"teacher_disagreement_score":0.21884319,"about_ca_system_score_codex":0.000043313994,"about_ca_system_score_gemma":0.000010666944,"threshold_uncertainty_score":0.31985795},"labels":[],"label_agreement":null},{"id":"W2102255582","doi":"10.1186/1471-2202-15-s1-p16","title":"Two-dimensional patterns in neural fields subject to finite transmission speed","year":2014,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"European Commission","keywords":"Computer science; Subject (documents); Transmission (telecommunications); Artificial neural network; Neuroscience; Artificial intelligence; Psychology; Telecommunications; World Wide Web","score_opus":0.03949788141321299,"score_gpt":0.27572139542975077,"score_spread":0.2362235140165378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102255582","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98746043,0.0000017805954,0.009368796,0.00093489216,0.00121907,0.0002905715,0.000007972905,0.00008651054,0.00062994775],"genre_scores_gemma":[0.98920304,0.0000027092933,0.00015947889,0.009992684,0.00007759248,0.000008432019,0.0000011908795,0.000017930412,0.00053691916],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99752855,0.0002572875,0.00029684737,0.00088550523,0.00052412675,0.00050766673],"domain_scores_gemma":[0.9987903,0.0005631149,0.00006575819,0.00033623434,0.000020354917,0.00022418496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031717937,0.0002045723,0.00018068723,0.000235135,0.00019454188,0.000113587084,0.00048161243,0.000049352566,0.000032749664],"category_scores_gemma":[0.0009766704,0.00017648208,0.00007827452,0.000823424,0.000079510435,0.0002843271,0.00012866939,0.00026547635,0.00004610926],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000078861034,0.00008302817,0.007925508,0.000013437499,6.9521356e-8,0.00002967486,0.000053157015,0.09526296,0.888784,0.00036395094,0.00005047934,0.007354871],"study_design_scores_gemma":[0.00060784444,0.00040694265,0.0659412,0.00003336826,0.0000021378062,0.000044975026,0.0000036293754,0.8545326,0.076897256,0.00028799375,0.00094201753,0.00030001547],"about_ca_topic_score_codex":0.000065159795,"about_ca_topic_score_gemma":0.00008717579,"teacher_disagreement_score":0.8118867,"about_ca_system_score_codex":0.000024045257,"about_ca_system_score_gemma":0.00003592417,"threshold_uncertainty_score":0.71967304},"labels":[],"label_agreement":null},{"id":"W2102457056","doi":"10.1023/a:1011237306312","title":"On the Subsymbolic Nature of a PDP Architecture that Uses a Nonmonotonic Activation Function","year":2001,"lang":"en","type":"article","venue":"Minds and Machines","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Interpretation (philosophy); Set (abstract data type); Computer science; Context (archaeology); Observer (physics); Artificial intelligence; Natural language processing; Physics; Quantum mechanics; Geography","score_opus":0.0174634807477091,"score_gpt":0.2398857097963377,"score_spread":0.2224222290486286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102457056","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99573934,0.000030406807,0.00033918416,0.0024146657,0.00019362893,0.00016802839,0.0000059875338,0.000021333872,0.0010874026],"genre_scores_gemma":[0.99787897,0.000049689894,0.00000680619,0.0015083133,0.00006110083,0.000012539066,0.0000037214115,0.000009215547,0.00046964656],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993872,0.000054480206,0.00008224344,0.0002147165,0.00014804528,0.00011329186],"domain_scores_gemma":[0.9994612,0.00028001444,0.000074151125,0.00014797611,0.000013188718,0.000023515551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000075506665,0.00010919862,0.000092951246,0.00007483721,0.00015235184,0.000035460816,0.00008024523,0.00007365443,0.0000478806],"category_scores_gemma":[0.00013739303,0.0000607034,0.000043560798,0.00018902008,0.000054379958,0.000072124705,0.000026328538,0.00023713148,0.0000023451441],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005866972,0.00013026399,0.009552668,0.000029451652,0.000012439827,0.000004599284,0.00031636257,0.00022740697,0.87567776,0.027671987,0.00040916153,0.0853812],"study_design_scores_gemma":[0.0015315452,0.0014481056,0.50169945,0.00016967347,0.00007577939,0.00017739569,0.00014414101,0.023856798,0.37667102,0.07162949,0.021935739,0.00066087866],"about_ca_topic_score_codex":0.000030116396,"about_ca_topic_score_gemma":0.00003605904,"teacher_disagreement_score":0.49900675,"about_ca_system_score_codex":0.000006437804,"about_ca_system_score_gemma":0.000007491169,"threshold_uncertainty_score":0.24754128},"labels":[],"label_agreement":null},{"id":"W2102857309","doi":"10.1093/cercor/bhh068","title":"Distributed Auditory Cortical Representations Are Modified When Non-musicians Are Trained at Pitch Discrimination with 40 Hz Amplitude Modulated Tones","year":2004,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":220,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Auditory cortex; Psychology; Neuroscience; N100; Electroencephalography; Neuroplasticity; Audiology; Lateralization of brain function; Mismatch negativity; Event-related potential; Medicine","score_opus":0.02900486343710335,"score_gpt":0.2560727446157146,"score_spread":0.22706788117861126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102857309","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97290343,0.0000038717562,0.021729873,0.0030822884,0.0006869601,0.00061531167,0.00029137783,0.00024090965,0.0004459663],"genre_scores_gemma":[0.99756,0.0000045201386,0.00012093315,0.0006794638,0.00020505661,0.00006718905,0.00033826474,0.00004560561,0.0009789517],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9976828,0.00009580085,0.0003900646,0.0008387451,0.0005206464,0.0004719154],"domain_scores_gemma":[0.99877244,0.00011387062,0.00029391696,0.00047573593,0.00014498548,0.00019906003],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007335732,0.00030682032,0.00031348085,0.0001098008,0.0006001189,0.00013713629,0.00025693545,0.00013342754,0.00008401883],"category_scores_gemma":[0.00027486318,0.00025599942,0.00011317762,0.0004338841,0.00024131649,0.00039716478,0.00010375988,0.0003004139,0.00005673836],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001199946,0.0009949103,0.008558155,0.000119466706,0.0000635838,0.00037002758,0.0013765286,0.023539254,0.9528477,0.0064868466,0.0036662682,0.00077729445],"study_design_scores_gemma":[0.0023009917,0.00031053927,0.94635445,0.0001105491,0.000094874464,0.00007517222,0.00041672194,0.032325793,0.012692468,0.0046247593,0.00013256962,0.00056111417],"about_ca_topic_score_codex":0.00012846364,"about_ca_topic_score_gemma":0.0006998318,"teacher_disagreement_score":0.94015527,"about_ca_system_score_codex":0.00031700134,"about_ca_system_score_gemma":0.00006031176,"threshold_uncertainty_score":0.9999892},"labels":[],"label_agreement":null},{"id":"W2102944517","doi":"10.1162/jocn_a_00780","title":"Flexible Information Coding in Human Auditory Cortex during Perception, Imagery, and STM of Complex Sounds","year":2015,"lang":"en","type":"article","venue":"Journal of Cognitive Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Medical Research Council","keywords":"Auditory imagery; Perception; Auditory cortex; Psychology; Stimulus (psychology); Sensory system; Mental image; Categorical perception; Auditory perception; Cognitive psychology; Natural sounds; Neuroscience; Speech perception; Cognition; Speech recognition; Computer science","score_opus":0.059426522949300786,"score_gpt":0.30696036270526006,"score_spread":0.24753383975595927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102944517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968253,0.0000035526161,0.0014191752,0.00009475235,0.0005907265,0.00010939357,0.000010084824,0.000010230135,0.0009368202],"genre_scores_gemma":[0.9993388,0.00003565426,0.000028943392,0.0004495908,0.00007255079,0.0000012330145,7.390989e-7,0.0000054617453,0.000066997025],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99850625,0.0001205596,0.0005047621,0.0001561814,0.00053038035,0.00018186077],"domain_scores_gemma":[0.9987588,0.00016541361,0.0005649695,0.00006255519,0.00032800724,0.000120241864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047990048,0.00010426893,0.00019087034,0.00040232274,0.00015235794,0.000103975384,0.000165621,0.00002978556,0.000008368448],"category_scores_gemma":[0.0017314032,0.00009376345,0.00004219191,0.00044232974,0.00036746258,0.0018696397,0.00007972567,0.00023512231,0.0000021567778],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000083944426,0.000049478705,0.0037671719,0.00001790671,4.2311189e-7,0.000016907483,0.0004866739,0.00008589268,0.99459326,0.00011984929,0.00006278916,0.00071569224],"study_design_scores_gemma":[0.001708651,0.00079787994,0.9322827,0.00016829198,0.000011212462,0.00048742467,0.0009235731,0.0040791146,0.05857117,0.00064896944,0.00015188649,0.00016915922],"about_ca_topic_score_codex":0.000006090808,"about_ca_topic_score_gemma":0.00000179308,"teacher_disagreement_score":0.9360221,"about_ca_system_score_codex":0.000056904635,"about_ca_system_score_gemma":0.00007870164,"threshold_uncertainty_score":0.38235623},"labels":[],"label_agreement":null},{"id":"W2103508190","doi":"10.1002/mrm.20363","title":"Assessing linear time‐invariance in human primary somatosensory cortex with BOLD fMRI using vibrotactile stimuli","year":2005,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; York University; University of Toronto; Sunnybrook Health Science Centre","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Somatosensory system; Stimulus (psychology); Neuroscience; Sensory system; Psychology; Time perception; Psychophysics; Perception; Cognitive psychology","score_opus":0.04047792312716973,"score_gpt":0.30434223274195427,"score_spread":0.2638643096147845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103508190","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99213207,0.000697366,0.00018342858,0.0011461008,0.00015455249,0.00043549473,0.0000026905807,0.00006283614,0.005185436],"genre_scores_gemma":[0.99210227,0.00010767778,0.0028359925,0.0024141632,0.00035605096,0.000021239475,0.0000057768857,0.000048813225,0.0021080151],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975924,0.00017440648,0.0005365428,0.0006700827,0.0005400973,0.00048648298],"domain_scores_gemma":[0.9990232,0.00030801448,0.00016784262,0.00037565624,0.00003372094,0.00009158362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036064172,0.00026054552,0.00043116196,0.00024775794,0.0001345643,0.000047792026,0.00024402003,0.000095223135,0.00025415415],"category_scores_gemma":[0.00025626514,0.00021241861,0.000025436138,0.00075878866,0.00032738535,0.00044655986,0.000060656952,0.0004695612,0.000022006947],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009624499,0.00015462097,0.0048673255,0.000050104256,6.302878e-7,0.000310717,0.00015378704,0.002057966,0.96316713,0.00012166966,0.00019567666,0.02882414],"study_design_scores_gemma":[0.005787968,0.0012680154,0.3557966,0.0021093423,0.0000259496,0.0003312981,0.00011769527,0.60688764,0.013951149,0.00034265898,0.0126257595,0.00075592834],"about_ca_topic_score_codex":0.00014657581,"about_ca_topic_score_gemma":0.00007474487,"teacher_disagreement_score":0.94921595,"about_ca_system_score_codex":0.00018400667,"about_ca_system_score_gemma":0.00007456342,"threshold_uncertainty_score":0.866218},"labels":[],"label_agreement":null},{"id":"W2103513921","doi":"10.1007/s10548-012-0217-2","title":"Techniques for Detection and Localization of Weak Hippocampal and Medial Frontal Sources Using Beamformers in MEG","year":2012,"lang":"en","type":"article","venue":"Brain Topography","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; University of Toronto; Baycrest Hospital; Hospital for Sick Children","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Magnetoencephalography; Subtraction; Computer science; Artificial intelligence; Pattern recognition (psychology); Hippocampal formation; Elementary cognitive task; Speech recognition; Cognition; Neuroscience; Electroencephalography; Psychology; Mathematics","score_opus":0.019034459511392286,"score_gpt":0.2554903495839094,"score_spread":0.23645589007251713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103513921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9710244,0.00008447716,0.028269958,0.000050216386,0.00017378331,0.00030574627,0.000009134366,0.00002824404,0.00005404543],"genre_scores_gemma":[0.99889696,0.000038010458,0.00080149795,0.0001570834,0.00007431789,0.000015914356,0.0000025080242,0.000010021659,0.0000036936328],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99936926,0.000046441524,0.00015392884,0.00016548256,0.00009742952,0.00016745331],"domain_scores_gemma":[0.9996506,0.00015665719,0.000080954,0.00005152556,0.000012885277,0.00004736164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021768548,0.000085659776,0.00010891145,0.00026360116,0.00008813174,0.000018593111,0.000033273343,0.0000669023,0.0000018083633],"category_scores_gemma":[0.00013963177,0.00007957587,0.000037746773,0.00025592413,0.00013624113,0.0002685138,0.000022125414,0.00005246532,4.5179295e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011175558,0.0000477618,0.055580452,0.00005596541,0.0000031897603,1.7239009e-7,0.00048451085,0.000023460809,0.9032643,0.0006925658,0.000013380889,0.039722502],"study_design_scores_gemma":[0.0013137256,0.0006924996,0.042567495,0.00008400168,0.00003952308,0.00005293444,0.00083675224,0.05679339,0.8883601,0.0049975975,0.0037974615,0.00046453904],"about_ca_topic_score_codex":0.00005794889,"about_ca_topic_score_gemma":0.000061184466,"teacher_disagreement_score":0.05676993,"about_ca_system_score_codex":0.000011299156,"about_ca_system_score_gemma":0.000004922853,"threshold_uncertainty_score":0.32450098},"labels":[],"label_agreement":null},{"id":"W2103536139","doi":"10.3389/fncom.2012.00083","title":"An investigation of dendritic delay in octopus cells of the mammalian cochlear nucleus","year":2012,"lang":"en","type":"article","venue":"Frontiers in Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"National Health and Medical Research Council; Medical Research Council; State Government of Victoria; Australian Government","keywords":"octopus (software); Nucleus; Cochlear nucleus; Neuroscience; Biology; Physics","score_opus":0.021131673404641164,"score_gpt":0.24666700895272387,"score_spread":0.2255353355480827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103536139","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922855,0.000010059104,0.004980493,0.00018668543,0.0022666145,0.00019532883,0.000021437441,0.000009487105,0.000044384073],"genre_scores_gemma":[0.9964677,0.0000037235461,0.0027568971,0.00071553,0.000018747083,0.0000042609436,0.0000014331381,0.000008498072,0.000023194048],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984389,0.0002544045,0.00034071546,0.00027525058,0.00044854815,0.00024218803],"domain_scores_gemma":[0.9993987,0.00014009577,0.00017855407,0.00017599587,0.00003536874,0.000071258255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030334466,0.00009629217,0.00013686136,0.00020268899,0.00007354743,0.000019573175,0.0004138952,0.0000385181,0.0000025898782],"category_scores_gemma":[0.00020185248,0.000082518935,0.000038416707,0.0010170822,0.00044990634,0.00048067895,0.000059839385,0.0001498533,0.0000010219096],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020221094,0.00013815939,0.2621723,0.000022221748,2.3547226e-7,0.0000031537463,0.000329389,0.117192894,0.615344,0.0042115734,0.00011386488,0.00045198365],"study_design_scores_gemma":[0.000273335,0.00009090727,0.58166224,0.000028733308,0.00000253067,0.000014939759,0.00005378413,0.32582605,0.08591508,0.0059727123,0.00004738678,0.00011230658],"about_ca_topic_score_codex":0.000025185598,"about_ca_topic_score_gemma":0.000006106374,"teacher_disagreement_score":0.5294289,"about_ca_system_score_codex":0.000045287405,"about_ca_system_score_gemma":0.00006273748,"threshold_uncertainty_score":0.33650246},"labels":[],"label_agreement":null},{"id":"W2103650934","doi":"10.1016/j.schres.2010.05.023","title":"Evidence for excessive frontal evoked gamma oscillatory activity in schizophrenia during working memory","year":2010,"lang":"en","type":"article","venue":"Schizophrenia Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":123,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Addiction and Mental Health; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Working memory; Schizophrenia (object-oriented programming); Psychology; Audiology; Neuroscience; Cognition; Electroencephalography; Frontal lobe; Pathophysiology; Brain activity and meditation; Medicine; Internal medicine; Psychiatry","score_opus":0.13933195405968074,"score_gpt":0.3699092220937472,"score_spread":0.23057726803406647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103650934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995409,0.00009584619,0.00003857613,0.0007660783,0.0015645744,0.0013017869,0.000019421852,0.00013057662,0.00067415665],"genre_scores_gemma":[0.9970769,0.00006869839,0.0005286202,0.000040381175,0.00081875134,0.00032883105,0.0000024101994,0.000068127345,0.0010672377],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99516106,0.00058307365,0.00039903962,0.0013528665,0.001259309,0.0012446387],"domain_scores_gemma":[0.9959422,0.0026297336,0.00014936786,0.0007964404,0.00018141957,0.00030089178],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0021551661,0.000323988,0.00036485802,0.0008177274,0.000957084,0.00034163715,0.0009342729,0.00027298537,0.00011947461],"category_scores_gemma":[0.0055094236,0.0003088193,0.00017146491,0.0012677256,0.0005003521,0.0008782431,0.0005155803,0.0024176647,0.00011159836],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0065939394,0.000093637376,0.001069738,0.00007224115,0.0000042599618,0.00006970971,0.00010949618,0.000034746405,0.9670846,0.0011364644,0.00007716128,0.02365399],"study_design_scores_gemma":[0.0070255324,0.00037292214,0.14196138,0.00057305803,0.000011937529,0.000080886806,0.00012459936,0.015719842,0.823929,0.008956961,0.00034261445,0.00090124796],"about_ca_topic_score_codex":0.00015527771,"about_ca_topic_score_gemma":0.0017380341,"teacher_disagreement_score":0.1431556,"about_ca_system_score_codex":0.00027009804,"about_ca_system_score_gemma":0.0004194693,"threshold_uncertainty_score":0.9999364},"labels":[],"label_agreement":null},{"id":"W2103716492","doi":"10.1016/j.neuron.2015.10.010","title":"Processing Timescales as an Organizing Principle for Primate Cortex","year":2015,"lang":"en","type":"letter","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":86,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Primate; Neuroscience; Psychology; Cortex (anatomy); Cognitive science; Communication; Computer science; Biology","score_opus":0.05054588681519024,"score_gpt":0.3088970947629961,"score_spread":0.25835120794780586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103716492","genre_codex":"empirical","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52809554,0.00010188254,0.0008730727,0.44327274,0.008206859,0.0049965098,0.00044482562,0.0021551023,0.011853476],"genre_scores_gemma":[0.03899525,0.00002140632,0.0003407267,0.93616295,0.0046549705,0.0001086109,0.00043447613,0.00040168894,0.018879898],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99758464,0.00011505054,0.00029608453,0.0009920025,0.000496671,0.000515579],"domain_scores_gemma":[0.9989187,0.00013846971,0.00028756703,0.00042939925,0.0001252238,0.00010062555],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013928377,0.00035525512,0.0003117677,0.00012236278,0.00026366216,0.00030115235,0.0004444813,0.00035822223,0.000030384494],"category_scores_gemma":[0.0004597925,0.00032302772,0.00008184987,0.00019871394,0.00007478388,0.00035827473,0.00011795603,0.00087309285,0.00012218703],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009906399,0.00008999184,0.000021243775,0.0005951054,0.000004082868,0.0003578377,0.00010611452,0.0000197886,0.44394702,0.0002117636,0.5432345,0.011313475],"study_design_scores_gemma":[0.00033364605,0.0005399611,0.00007108485,0.000055994464,0.00003578231,0.00014421369,0.000002946341,0.0077733477,0.014792936,0.0011909226,0.9746205,0.00043867272],"about_ca_topic_score_codex":0.000005624424,"about_ca_topic_score_gemma":0.0000022375934,"teacher_disagreement_score":0.4928902,"about_ca_system_score_codex":0.000088432906,"about_ca_system_score_gemma":0.00019425401,"threshold_uncertainty_score":0.99992216},"labels":[],"label_agreement":null},{"id":"W2104117351","doi":"10.1111/j.1460-9568.2009.07055.x","title":"Neural responses to uninterrupted natural speech can be extracted with precise temporal resolution","year":2009,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":340,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"National Science Foundation","keywords":"Computer science; Impulse response; Natural sounds; Speech recognition; Auditory scene analysis; Neurophysiology; Auditory system; Electrophysiology; Impulse (physics); Scalp; Perception; Psychology; Neuroscience; Mathematics","score_opus":0.046453386419092725,"score_gpt":0.27900521518270255,"score_spread":0.23255182876360983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104117351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9890824,0.000015443,0.0006925322,0.008157945,0.001197586,0.00020818312,0.000015820324,0.00007284868,0.0005572159],"genre_scores_gemma":[0.9911588,0.0000110576875,0.0006963268,0.0065175304,0.00016699625,3.9887374e-7,8.9858605e-7,0.000028207409,0.0014198114],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99650156,0.00097632164,0.0005965256,0.00054136274,0.00090110244,0.00048309864],"domain_scores_gemma":[0.99840444,0.00015812647,0.000516662,0.00034516808,0.00020827477,0.00036731389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008163273,0.00026481217,0.00024472678,0.0004445144,0.0003150489,0.0002901985,0.00090374006,0.00001973684,0.000008103636],"category_scores_gemma":[0.0021093362,0.00019192608,0.00010409083,0.0012578149,0.00022078327,0.00065391563,0.0000898667,0.0006294325,0.000009446378],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012176986,0.000096455035,0.00014443917,0.0000018955732,6.7788943e-7,0.0023052625,0.00011716712,0.00060908846,0.98636335,0.00005398153,0.0005112543,0.008578753],"study_design_scores_gemma":[0.003125407,0.020423792,0.7283371,0.00033235698,0.00005225111,0.019768108,0.00012306,0.027128639,0.16533406,0.000091156166,0.03403425,0.0012498056],"about_ca_topic_score_codex":0.0000031620928,"about_ca_topic_score_gemma":0.000005640446,"teacher_disagreement_score":0.82102925,"about_ca_system_score_codex":0.00006962763,"about_ca_system_score_gemma":0.00009414356,"threshold_uncertainty_score":0.78265184},"labels":[],"label_agreement":null},{"id":"W2104384805","doi":"10.1523/jneurosci.1256-10.2010","title":"Neuronal Activity in the Visual Cortex Reveals the Temporal Order of Cognitive Operations","year":2010,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; European Commission","keywords":"Task (project management); Visual cortex; Visual search; Tracing; Premovement neuronal activity; Computer science; Cognition; Brain activity and meditation; Neuroscience; Visual processing; Sensory processing; TRACE (psycholinguistics); Sensory system; Psychology; Artificial intelligence; Electroencephalography; Perception","score_opus":0.03772160286841068,"score_gpt":0.3222313499022369,"score_spread":0.2845097470338262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104384805","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99520606,0.0000017922451,0.00034103423,0.0028846923,0.0011978208,0.00019013282,0.000009475786,0.0000037569653,0.0001652453],"genre_scores_gemma":[0.9967857,0.000014005303,0.00002031069,0.0029963069,0.00009632412,0.0000030809592,1.2615854e-7,0.000006203223,0.00007794518],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9982287,0.0003677302,0.0003515062,0.00020752237,0.000652519,0.00019201639],"domain_scores_gemma":[0.99834436,0.0009783487,0.00031435044,0.00015349386,0.00015849224,0.000050955376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089251634,0.000104494124,0.0001481978,0.00011189771,0.00026635482,0.00011750793,0.00062261516,0.000032406813,0.000011299183],"category_scores_gemma":[0.004122103,0.00005409857,0.00007670617,0.00090754963,0.0005140439,0.0005274071,0.00006876265,0.00079441513,0.0000017773763],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045440178,0.000197137,0.0020057217,0.0000018814827,3.3401923e-7,0.000028732204,0.00014154686,0.00012599367,0.9962054,0.0005139049,0.000040283427,0.0006936402],"study_design_scores_gemma":[0.0005706617,0.001123488,0.90123665,0.00003075396,0.000015994885,0.00097612396,0.00014094343,0.023755701,0.07116496,0.00044319112,0.00040039842,0.00014111964],"about_ca_topic_score_codex":0.000013392062,"about_ca_topic_score_gemma":0.000058114354,"teacher_disagreement_score":0.9250404,"about_ca_system_score_codex":0.0000072810867,"about_ca_system_score_gemma":0.00014488622,"threshold_uncertainty_score":0.49348402},"labels":[],"label_agreement":null},{"id":"W2104412116","doi":"10.1162/089892904322926746","title":"Inter- and Intra-hemispheric Processing of Visual Event-related Potentials in the Absence of the Corpus Callosum","year":2004,"lang":"en","type":"article","venue":"Journal of Cognitive Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Université de Montréal","funders":"Canada Research Chairs","keywords":"Corpus callosum; Psychology; Event-related potential; Cognitive psychology; Neuroscience; Communication; Electroencephalography","score_opus":0.0166984873844403,"score_gpt":0.2799836064164334,"score_spread":0.2632851190319931,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104412116","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99715775,0.000043889457,0.0015984225,0.00048929633,0.00044032675,0.00017077482,0.0000041949424,0.0000026920234,0.0000926649],"genre_scores_gemma":[0.99911165,0.00007835824,0.000012229098,0.0007554329,0.000016027016,0.0000013036531,5.0139967e-8,0.0000059133004,0.000019028046],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983245,0.0002139688,0.0005464933,0.00020064013,0.00054196594,0.00017239686],"domain_scores_gemma":[0.998542,0.00032417508,0.00083633757,0.00007844386,0.00017777586,0.000041277257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005369156,0.000109053195,0.00019228183,0.000083706276,0.00011457477,0.000049404487,0.00041551204,0.000034200868,0.0000026620735],"category_scores_gemma":[0.0024130337,0.000060864528,0.00007911237,0.0009391721,0.0007539992,0.00035823844,0.00008450561,0.0003395879,2.4465845e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006099403,0.00017684212,0.0015626169,0.000018546736,7.576866e-7,0.000031318486,0.00043011995,0.000271893,0.9920274,0.00012216403,0.0000014456102,0.0052959006],"study_design_scores_gemma":[0.0017146933,0.0015036808,0.23654799,0.0011816237,0.000035762347,0.0016031351,0.0006682331,0.00462931,0.7483426,0.0035697103,0.000017830027,0.00018547183],"about_ca_topic_score_codex":0.000008087263,"about_ca_topic_score_gemma":0.0000043893947,"teacher_disagreement_score":0.24368484,"about_ca_system_score_codex":0.000018982399,"about_ca_system_score_gemma":0.00014515301,"threshold_uncertainty_score":0.2888801},"labels":[],"label_agreement":null},{"id":"W2104451414","doi":"10.1186/1471-2202-10-s1-p7","title":"Characterizing multiple-unit activity in the anterior cingulate cortex during choice behavior as a stochastic nonlinear process","year":2009,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Anterior cingulate cortex; Computer science; Task (project management); Population; Neuroscience; Cingulate cortex; Cognition; Metric (unit); Artificial intelligence; Dimensionality reduction; Nonlinear system; Psychology; Machine learning; Physics","score_opus":0.044028354779333756,"score_gpt":0.31177367103347164,"score_spread":0.2677453162541379,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104451414","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979986,0.0000024596918,0.00024527192,0.00027920198,0.0005369434,0.0007520156,0.000013372573,0.00010819892,0.000063949185],"genre_scores_gemma":[0.9975682,0.0000051142197,0.000017855757,0.0021187393,0.000092141214,0.000052573898,6.9477323e-7,0.000017610342,0.00012707943],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.997471,0.00017961796,0.0002881599,0.0008840203,0.0005876979,0.0005895388],"domain_scores_gemma":[0.99890655,0.00031637022,0.00021038704,0.0004301929,0.00003153809,0.00010493496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025726526,0.00025766323,0.00020978008,0.00018506637,0.0005342229,0.0002992623,0.0007984383,0.000053033003,0.0000052105243],"category_scores_gemma":[0.0017933259,0.00020040545,0.000075493816,0.0010972744,0.00017973235,0.00077999994,0.00008485196,0.00043324355,0.00001606735],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000721922,0.0002470623,0.0047107777,0.000015154787,7.7662555e-8,0.000084797124,0.00017550544,0.00028144187,0.99336785,0.000011933575,1.590558e-7,0.001033053],"study_design_scores_gemma":[0.0004697619,0.00023922604,0.8518279,0.0000517512,0.000006235471,0.0002733298,0.000026117948,0.06675754,0.08007796,0.000020074376,0.000016105003,0.00023400442],"about_ca_topic_score_codex":0.00003188283,"about_ca_topic_score_gemma":0.00004852408,"teacher_disagreement_score":0.9132899,"about_ca_system_score_codex":0.000032439264,"about_ca_system_score_gemma":0.00007325816,"threshold_uncertainty_score":0.81722975},"labels":[],"label_agreement":null},{"id":"W2104500862","doi":"10.1098/rstb.2005.1631","title":"Lateral prefrontal cortex: architectonic and functional organization","year":2005,"lang":"en","type":"review","venue":"Philosophical Transactions of the Royal Society B Biological Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1231,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Prefrontal cortex; Neuroscience; Macaque; Functional specialization; Working memory; Primate; Precentral gyrus; Functional organization; Inferior frontal gyrus; Biology; Psychology; Anatomy; Cognition; Medicine","score_opus":0.09350320172862171,"score_gpt":0.2950004525293454,"score_spread":0.20149725080072373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104500862","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01707314,0.9602327,0.006179425,0.008028318,0.0028412726,0.0030119072,0.00069018983,0.00045151598,0.0014915675],"genre_scores_gemma":[0.17891014,0.8200941,0.00018565444,0.00029518214,0.00027972145,0.000027649756,0.000011394424,0.000017669512,0.00017851201],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99774,0.00029667272,0.00048307987,0.00074577547,0.00042004604,0.00031447873],"domain_scores_gemma":[0.99886256,0.0005417503,0.00026746478,0.00019186846,0.00003421561,0.000102130005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026980435,0.0003243308,0.00061563816,0.000039639137,0.0009179483,0.00007222184,0.00052818673,0.00036563043,0.0002676332],"category_scores_gemma":[0.00015169157,0.00016612647,0.00067253265,0.0008690019,0.0019342883,0.000094598545,0.000100436264,0.0006601751,0.000011686727],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003486434,0.0008041612,0.00016157968,0.0013479238,0.00014739917,0.0000019852723,0.00009416834,0.0011613361,0.002188147,0.014566906,0.000060153616,0.9794314],"study_design_scores_gemma":[0.0044092787,0.00810381,0.023171715,0.01099909,0.00480378,0.001760991,0.00013056758,0.07390744,0.0015022374,0.16011508,0.7013634,0.009732639],"about_ca_topic_score_codex":0.000009747428,"about_ca_topic_score_gemma":0.0000013051915,"teacher_disagreement_score":0.9696987,"about_ca_system_score_codex":0.000075307886,"about_ca_system_score_gemma":0.000104290935,"threshold_uncertainty_score":0.71269655},"labels":[],"label_agreement":null},{"id":"W2104602632","doi":"10.1016/s0893-6080(03)00210-7","title":"Self-organising continuous attractor networks with multiple activity packets, and the representation of space","year":2003,"lang":"en","type":"article","venue":"Neural Networks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":74,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Attractor; Network packet; Representation (politics); Space (punctuation); Computer science; Theoretical computer science; Mathematics; Artificial intelligence; Topology (electrical circuits); Mathematical analysis; Computer network; Combinatorics","score_opus":0.015039869945683638,"score_gpt":0.22854973318929836,"score_spread":0.21350986324361473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104602632","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98495036,0.000083019426,0.013141831,0.0004134016,0.00043754818,0.0005198388,0.000002045354,0.00008242945,0.00036953442],"genre_scores_gemma":[0.9991517,0.00014481884,0.00017057678,0.00031362966,0.00010648252,0.000010298647,0.0000016689415,0.000026690937,0.000074118005],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983973,0.000498126,0.00018927033,0.00040198822,0.00021634871,0.00029696382],"domain_scores_gemma":[0.99789995,0.0014492216,0.0002542972,0.00028140546,0.000045952966,0.00006915657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023202863,0.00018219504,0.00026920356,0.000028981116,0.00025032804,0.00009674667,0.00011005744,0.00008736176,0.000007815924],"category_scores_gemma":[0.00033375397,0.00011437243,0.000059383958,0.00039968413,0.00024189647,0.00024220691,0.00004207619,0.00035897447,5.7261957e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0072498964,0.00085463945,0.20137084,0.00014247929,0.00016008479,0.00018325787,0.0013681483,0.49687555,0.20120664,0.028291069,0.0010905243,0.061206855],"study_design_scores_gemma":[0.0019971249,0.00017929845,0.0136202,0.00001730124,0.000043057924,0.00011241481,0.00004483334,0.96981776,0.013687927,0.00012394015,0.0001651357,0.00019100505],"about_ca_topic_score_codex":0.000032682205,"about_ca_topic_score_gemma":0.00003995412,"teacher_disagreement_score":0.4729422,"about_ca_system_score_codex":0.000017618933,"about_ca_system_score_gemma":0.000009998247,"threshold_uncertainty_score":0.46639723},"labels":[],"label_agreement":null},{"id":"W2104835956","doi":"10.1142/s0219477504001793","title":"ISI CORRELATIONS AND INFORMATION TRANSFER","year":2004,"lang":"en","type":"article","venue":"Fluctuation and Noise Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Information transfer; Computer science; Stimulus (psychology); Statistical physics; Nonlinear system; Dynamical systems theory; Biological system; Neuroscience; Physics; Cognitive psychology; Psychology; Biology; Telecommunications","score_opus":0.011543874169215582,"score_gpt":0.20719812046998054,"score_spread":0.19565424630076494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104835956","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95891315,0.0000041289704,0.026443064,0.013909835,0.00018138126,0.00013887996,0.0000071769205,0.00004362857,0.00035876603],"genre_scores_gemma":[0.9835734,0.00003843869,0.00008197249,0.016226402,0.000027956547,0.000006397616,0.000013950021,0.0000036465647,0.000027877151],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9995791,0.000016291247,0.00011080192,0.00010950241,0.00010408318,0.000080265396],"domain_scores_gemma":[0.99983746,0.000039669427,0.00001820662,0.000053502918,0.000011061047,0.000040091876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000045335593,0.00006284854,0.000046777786,0.00008232075,0.00014969801,0.0000729296,0.000023859051,0.000026965114,0.000016713211],"category_scores_gemma":[0.000060374394,0.000057102414,0.000013925822,0.000111262445,0.00004981411,0.0009104044,0.000007686544,0.000066136,0.00003162644],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003221247,0.000014941673,0.00022105766,0.000016476248,0.0000023975927,0.0000018341262,0.0012973986,0.0018882987,0.9327337,0.04907722,0.0003085622,0.014405874],"study_design_scores_gemma":[0.014075326,0.0006762921,0.5242893,0.00016051094,0.0001544265,0.0004274259,0.00046386602,0.117070645,0.23579255,0.0221365,0.082675785,0.0020773439],"about_ca_topic_score_codex":0.000009550665,"about_ca_topic_score_gemma":0.0000026728342,"teacher_disagreement_score":0.6969412,"about_ca_system_score_codex":0.000015175137,"about_ca_system_score_gemma":0.0000064782093,"threshold_uncertainty_score":0.23285688},"labels":[],"label_agreement":null},{"id":"W2105056728","doi":"10.1109/cne.2005.1419700","title":"A Wavelet Based Approach for the Detection of Coupling in EEG Signals","year":2005,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Coherence (philosophical gambling strategy); Electroencephalography; Computer science; Wavelet; Context (archaeology); Artificial intelligence; Time–frequency analysis; Pattern recognition (psychology); Speech recognition; Phase coherence; Wavelet transform; Computer vision; Mathematics; Psychology; Neuroscience; Physics","score_opus":0.04054673303405225,"score_gpt":0.25607650523004744,"score_spread":0.21552977219599517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105056728","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3870833,0.000009452838,0.61108357,0.00052616966,0.00007715603,0.00048615725,0.000004266854,0.000026948117,0.00070296833],"genre_scores_gemma":[0.9981291,0.000003108091,0.0010258596,0.00057748624,0.000026805586,0.000039070113,7.420071e-7,0.0000056606837,0.0001921532],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995259,0.000012659133,0.00012515023,0.00014478219,0.00009157385,0.00009995336],"domain_scores_gemma":[0.9994485,0.00039093028,0.000043074415,0.000090588495,0.000015443851,0.00001147964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002173906,0.000047361453,0.000060065562,0.00004688422,0.00005637072,0.000013184122,0.0000744506,0.00002443183,0.000013255453],"category_scores_gemma":[0.00013952651,0.000029826459,0.000038334954,0.00016779733,0.000022935572,0.00005679835,0.000009026848,0.000052988373,0.000001207941],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000381795,0.000042429176,0.000015961326,0.000008584387,4.7528056e-7,6.6687974e-8,0.0000079954325,0.06371847,0.92441314,0.0004189055,0.000010165266,0.011325627],"study_design_scores_gemma":[0.0001747953,0.000035974215,0.0002062944,0.0000014895047,0.0000016304209,5.110722e-7,0.000010476069,0.66417056,0.33508492,0.000044842367,0.00024238956,0.000026105083],"about_ca_topic_score_codex":0.0000162209,"about_ca_topic_score_gemma":0.000027870796,"teacher_disagreement_score":0.61104584,"about_ca_system_score_codex":0.000017130893,"about_ca_system_score_gemma":0.000008994761,"threshold_uncertainty_score":0.12162876},"labels":[],"label_agreement":null},{"id":"W2105073522","doi":"10.1038/npp.2013.40","title":"GABAA Receptors Predict Aversion-Related Brain Responses: An fMRI-PET Investigation in Healthy Humans","year":2013,"lang":"en","type":"article","venue":"Neuropsychopharmacology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université de Montréal; Carleton University; Royal Ottawa Mental Health Centre; Montreal Neurological Institute and Hospital; University of Ottawa","funders":"Canadian Institutes of Health Research; Hope for Depression Research Foundation","keywords":"Neuroscience; Ventromedial prefrontal cortex; Psychology; Aversive Stimulus; Prefrontal cortex; Context (archaeology); Stimulus (psychology); Insula; Insular cortex; Cognitive psychology; Cognition; Biology","score_opus":0.027684490011277884,"score_gpt":0.3049858622501423,"score_spread":0.2773013722388644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105073522","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9781692,0.000007825555,0.000007807168,0.015010132,0.0044941166,0.000968731,0.000013581365,0.00024902102,0.0010795987],"genre_scores_gemma":[0.96821773,0.00009489355,0.00004549692,0.029782256,0.00013676051,0.00011956653,0.000024110974,0.000052109408,0.0015270911],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9957412,0.0018619555,0.000576328,0.00095720123,0.0002885,0.00057480985],"domain_scores_gemma":[0.99832374,0.0007397153,0.00021907807,0.00033519638,0.00005687251,0.00032541063],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00038357262,0.00027170515,0.00025271866,0.00049368804,0.00025095703,0.0000647439,0.0004071488,0.00013639107,0.0017849496],"category_scores_gemma":[0.0005318463,0.00027095262,0.00006754311,0.0009092949,0.00026252895,0.00066485547,0.00007618178,0.0007258647,0.0006638388],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080382416,0.0002012576,0.0025608847,0.000013575457,0.0000031398447,0.0001022091,0.00026420382,0.0002054114,0.97264564,0.0003081727,0.02084575,0.002045942],"study_design_scores_gemma":[0.03200715,0.020206029,0.6112339,0.00013208466,0.000093222814,0.0011132285,0.00049726357,0.19147256,0.053247556,0.017693756,0.06915723,0.0031460393],"about_ca_topic_score_codex":0.00009634089,"about_ca_topic_score_gemma":0.000024260959,"teacher_disagreement_score":0.91939807,"about_ca_system_score_codex":0.00010601391,"about_ca_system_score_gemma":0.00008683483,"threshold_uncertainty_score":0.99997425},"labels":[],"label_agreement":null},{"id":"W2105112552","doi":"10.1016/j.tics.2015.07.011","title":"The Rediscovery of Slowness: Exploring the Timing of Cognition","year":2015,"lang":"en","type":"review","venue":"Trends in Cognitive Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":171,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Baycrest Hospital","funders":"","keywords":"Slowness; Context (archaeology); Cognitive science; Cognition; Psychology; Cognitive psychology; Task (project management); Function (biology); Neuroimaging; Functional neuroimaging; Neuroscience; Brain activity and meditation; Property (philosophy); Electroencephalography; Epistemology","score_opus":0.59380127748176,"score_gpt":0.46238236515832437,"score_spread":0.13141891232343567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105112552","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0038068094,0.9546526,0.00003270933,0.00013967216,0.0024733094,0.0006770409,0.0002655995,0.000030187632,0.037922077],"genre_scores_gemma":[0.04339225,0.9560194,0.000007651544,0.000024923735,0.00008480649,0.00011440502,0.000010079831,0.000012838267,0.00033366663],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975358,0.00047174518,0.00058763253,0.00046102094,0.0006721005,0.00027170067],"domain_scores_gemma":[0.9956156,0.0034330033,0.0006383083,0.00017589788,0.00010695544,0.000030229308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017715397,0.00021682381,0.0005690667,0.00037016626,0.0003171988,0.00007751965,0.0006364454,0.000056346067,0.000016231985],"category_scores_gemma":[0.0015220154,0.000102468315,0.00020404226,0.002372984,0.0016741641,0.00035552232,0.00017852642,0.00028878477,0.0000046802647],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009330363,0.000024750625,0.0000023438606,0.000215106,0.0000052082496,0.0000024353378,0.00011596013,0.0000028254133,0.000039555955,0.0005435516,0.000039951236,0.998999],"study_design_scores_gemma":[0.0033105877,0.0047100806,0.0007405275,0.1356175,0.003639488,0.0004258179,0.015165167,0.006191249,0.015299326,0.03635232,0.7741858,0.0043621594],"about_ca_topic_score_codex":0.000016165952,"about_ca_topic_score_gemma":0.00002984239,"teacher_disagreement_score":0.99463683,"about_ca_system_score_codex":0.000030684405,"about_ca_system_score_gemma":0.00017632188,"threshold_uncertainty_score":0.61685276},"labels":[],"label_agreement":null},{"id":"W2105256902","doi":"10.1113/jphysiol.2004.067686","title":"Effects of cortical stimulation on auditory‐responsive thalamic neurones in anaesthetized guinea pigs","year":2004,"lang":"en","type":"article","venue":"The Journal of Physiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of California, Irvine; University of Hong Kong; University of Calgary","keywords":"Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Neuroscience; Stimulation; Medial geniculate body; Postsynaptic potential; Depolarization; Stimulus (psychology); Chemistry; Biology; Inferior colliculus; Psychology; Biophysics; Nucleus","score_opus":0.01312212055028989,"score_gpt":0.25808496669536846,"score_spread":0.24496284614507857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105256902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99853456,0.000011702685,0.00007160358,0.0005649993,0.0006561741,0.00013849883,8.655791e-7,0.000004639661,0.000016950642],"genre_scores_gemma":[0.9993551,0.0000529159,0.0000148870295,0.000439624,0.00011871397,9.900623e-7,2.3904482e-7,0.0000075258945,0.000010054056],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987627,0.00057198305,0.00028033435,0.00009668357,0.00015847594,0.00012979809],"domain_scores_gemma":[0.9981641,0.0013348598,0.00031666158,0.00011067194,0.00004750685,0.000026188425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020596644,0.00008689904,0.00021348071,0.000115262264,0.00004617515,0.0000032743374,0.00017568469,0.00004219191,0.000006766421],"category_scores_gemma":[0.00084717636,0.000052002517,0.00006561157,0.00016014185,0.00013352574,0.000064741456,0.000026524976,0.0002819394,0.000007180559],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013495517,0.00013017334,0.000028578957,0.000010263968,0.000002545722,0.000018479639,0.000090972746,0.020483693,0.97683674,0.0008130866,0.00002051459,0.00021541787],"study_design_scores_gemma":[0.0026123922,0.0036747772,0.50010586,0.000070910464,0.000027896487,0.000081279264,0.000017601036,0.0026283194,0.4769613,0.013706455,0.00002325662,0.00008994175],"about_ca_topic_score_codex":0.00000807389,"about_ca_topic_score_gemma":0.000002195344,"teacher_disagreement_score":0.5000773,"about_ca_system_score_codex":0.000035346235,"about_ca_system_score_gemma":0.000037289694,"threshold_uncertainty_score":0.21206011},"labels":[],"label_agreement":null},{"id":"W2105400482","doi":"10.1523/jneurosci.21-14-05203.2001","title":"How Simple Cells Are Made in a Nonlinear Network Model of the Visual Cortex","year":2001,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":115,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Eye Institute; York University; Alfred P. Sloan Foundation; National Institutes of Health; National Science Foundation","keywords":"Visual cortex; Lateral geniculate nucleus; Neuroscience; Binocular neurons; Simple cell; Nonlinear system; Cortex (anatomy); Excitatory postsynaptic potential; Computer science; Biological system; Inhibitory postsynaptic potential; Physics; Biology","score_opus":0.03981342856586893,"score_gpt":0.2699233615631623,"score_spread":0.23010993299729338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105400482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958743,0.000009858622,0.0014107393,0.0014981418,0.0010266646,0.00010647532,0.000006300019,0.0000055748374,0.000061988656],"genre_scores_gemma":[0.99718976,0.0001126617,0.00010578819,0.0019480129,0.00011908713,6.5450695e-7,3.805614e-8,0.000010097727,0.00051387807],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983576,0.00011692055,0.00037210155,0.0002373578,0.0006091435,0.0003068829],"domain_scores_gemma":[0.9988619,0.00013280218,0.00066525984,0.00018696443,0.00006816415,0.00008488492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028940113,0.00011711269,0.00020734899,0.00010154659,0.00012880271,0.0000885453,0.0006286275,0.00003910551,0.000002020002],"category_scores_gemma":[0.0005264801,0.00007631138,0.00012530929,0.0010089927,0.00020494987,0.00040841702,0.00012462237,0.00036298693,6.218314e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003867756,0.00009488812,0.0026154118,0.000004084304,2.0743526e-7,0.000049777278,0.000017992497,0.067583404,0.9290678,0.00007955394,0.00013503837,0.00031315343],"study_design_scores_gemma":[0.00036866876,0.00028965579,0.036779787,0.000046071527,0.0000063217544,0.00026996003,0.000026242094,0.8980087,0.06188969,0.0009056115,0.0012924097,0.000116890486],"about_ca_topic_score_codex":0.000002508753,"about_ca_topic_score_gemma":0.000009730392,"teacher_disagreement_score":0.86717814,"about_ca_system_score_codex":0.000030218978,"about_ca_system_score_gemma":0.00008504471,"threshold_uncertainty_score":0.31118876},"labels":[],"label_agreement":null},{"id":"W2106172517","doi":"10.1016/j.neuron.2010.03.029","title":"Abrupt Transitions between Prefrontal Neural Ensemble States Accompany Behavioral Transitions during Rule Learning","year":2010,"lang":"en","type":"article","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":369,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Neural ensemble; Prefrontal cortex; Inference; Computer science; Artificial neural network; Artificial intelligence; Set (abstract data type); Learning rule; Task (project management); Process (computing); Neuroscience; Machine learning; Psychology; Cognitive psychology; Cognition","score_opus":0.0246776685589561,"score_gpt":0.2676283499570148,"score_spread":0.2429506813980587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106172517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967614,0.0000027911897,0.0002024518,0.0009995183,0.00074577745,0.00027960815,0.000114662565,0.00035883472,0.00053500175],"genre_scores_gemma":[0.99879885,0.0000062262175,0.000070361515,0.00017165755,0.00023425667,0.000028220416,0.00007108344,0.00005307022,0.0005662475],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99821645,0.00013541641,0.00028828005,0.00057076925,0.00029995342,0.00048915506],"domain_scores_gemma":[0.9993649,0.0000983427,0.00008030178,0.00025108567,0.000030135632,0.00017524474],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006665875,0.00024242816,0.00021025674,0.00013791112,0.00075517676,0.00015432628,0.00022123818,0.00010086731,0.00015073332],"category_scores_gemma":[0.00003410234,0.0002478728,0.00015279488,0.0002461839,0.00012293564,0.0005227528,0.000038957205,0.0010456874,0.00006866381],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030407587,0.00011680848,0.001951762,0.000011675163,0.000001886612,0.000038758644,0.00036228404,0.000880437,0.993357,0.00009426161,0.000015055757,0.003139655],"study_design_scores_gemma":[0.0019106938,0.0008302152,0.44673476,0.00002729599,0.00014056536,0.00033732367,0.00023107686,0.01954161,0.5268278,0.0006332776,0.0018479447,0.00093744835],"about_ca_topic_score_codex":0.000042324114,"about_ca_topic_score_gemma":0.00011799797,"teacher_disagreement_score":0.46652922,"about_ca_system_score_codex":0.000024058752,"about_ca_system_score_gemma":0.000020859108,"threshold_uncertainty_score":0.9999974},"labels":[],"label_agreement":null},{"id":"W2106333495","doi":"10.1162/0898929054985455","title":"Rule-dependent Activity for Prosaccades and Antisaccades in the Primate Prefrontal Cortex","year":2005,"lang":"en","type":"article","venue":"Journal of Cognitive Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":109,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research; National Alliance for Research on Schizophrenia and Depression","keywords":"Antisaccade task; Psychology; Stimulus (psychology); Prefrontal cortex; Saccade; Neuroscience; Primate; Cognitive psychology; Eye movement; Fixation (population genetics); Cognition; Biology","score_opus":0.03629132707076611,"score_gpt":0.3138896440779227,"score_spread":0.2775983170071566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106333495","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99635285,0.000031052445,0.0012640691,0.0013179835,0.00033571507,0.0004618585,0.000026492562,0.000008414849,0.0002015639],"genre_scores_gemma":[0.9976454,0.00014250491,0.000064869644,0.001935574,0.00011338381,0.000011972207,1.3881046e-7,0.000009178946,0.000077015444],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985002,0.0001738057,0.00028258486,0.00030298464,0.0004678105,0.00027259678],"domain_scores_gemma":[0.9985738,0.00085535255,0.00034712255,0.00007277296,0.00008450312,0.0000664482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064645126,0.00013407737,0.00017727028,0.00013707193,0.0002202931,0.00019588247,0.00030878102,0.000036554717,0.000002500526],"category_scores_gemma":[0.0017420162,0.00008638579,0.00006505595,0.00024733762,0.00027941822,0.0010005158,0.000057115954,0.00032682662,0.0000012535974],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023285497,0.0001938652,0.0012398409,0.000010624831,6.840504e-7,0.000029947401,0.00023498182,0.000022071807,0.97228855,0.00022717276,0.000014286297,0.0255051],"study_design_scores_gemma":[0.001862866,0.0014417234,0.5553941,0.00011729301,0.000030347126,0.0015584193,0.00019477004,0.009122314,0.42849076,0.00096923107,0.00057330175,0.00024486214],"about_ca_topic_score_codex":0.0000016725086,"about_ca_topic_score_gemma":0.000007835348,"teacher_disagreement_score":0.5541543,"about_ca_system_score_codex":0.000028873883,"about_ca_system_score_gemma":0.000060977378,"threshold_uncertainty_score":0.35227105},"labels":[],"label_agreement":null},{"id":"W2106555326","doi":"10.1162/jocn.2010.21443","title":"Slow Fluctuations in Attentional Control of Sensory Cortex","year":2010,"lang":"en","type":"article","venue":"Journal of Cognitive Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":243,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Psychology; Sensory system; Arousal; Task (project management); Cognitive psychology; N2pc; Visual cortex; Sensory processing; Neuroscience; Audiology; Fixation (population genetics); Attentional control; Cognition; Visual attention","score_opus":0.02416926767146901,"score_gpt":0.2811960927919373,"score_spread":0.2570268251204683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106555326","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993143,0.0000042367246,0.003910206,0.00047054916,0.0016839845,0.00013555153,0.00004101218,0.0000056966733,0.00060576655],"genre_scores_gemma":[0.99839526,0.000017806657,0.000045696866,0.0012717332,0.000081962346,0.0000019122017,3.0151327e-7,0.0000071051827,0.00017821374],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984003,0.00013106513,0.0004798472,0.00022209984,0.00057666836,0.00019006543],"domain_scores_gemma":[0.998039,0.00094050285,0.0005111228,0.00008321158,0.0003341921,0.00009198614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004289397,0.000099969344,0.0001949735,0.00031540613,0.000093712144,0.00003699844,0.00024020753,0.00004077287,0.00003971418],"category_scores_gemma":[0.0056459424,0.000084092186,0.000109704895,0.00051957014,0.00043110395,0.0004613223,0.000027932234,0.00049231853,0.000005317295],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000077000266,0.00015172694,0.0041149748,0.0000031604784,6.810057e-7,0.000053781892,0.00002710652,0.00007009259,0.9927364,0.0013914985,0.000011911615,0.0013616818],"study_design_scores_gemma":[0.0021110307,0.0006377106,0.8015102,0.00007934474,0.000023631868,0.0007180241,0.00005602559,0.015141589,0.17742625,0.0019069707,0.00022047023,0.00016873138],"about_ca_topic_score_codex":0.0000018886627,"about_ca_topic_score_gemma":0.0000063595007,"teacher_disagreement_score":0.8153101,"about_ca_system_score_codex":0.000011403057,"about_ca_system_score_gemma":0.00013151226,"threshold_uncertainty_score":0.67591286},"labels":[],"label_agreement":null},{"id":"W2106582389","doi":"10.1371/journal.pcbi.1002667","title":"The Spatial Structure of Stimuli Shapes the Timescale of Correlations in Population Spiking Activity","year":2012,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; U.S. Department of Defense; National Defense Science and Engineering Graduate; National Institute on Drug Abuse; Canada Research Chairs; National Science Foundation","keywords":"Stimulus (psychology); Neuroscience; Population; Correlation; Electric fish; Neural coding; Biology; Biological system; Psychology; Mathematics; Fish <Actinopterygii>; Cognitive psychology","score_opus":0.03495070046332838,"score_gpt":0.2806007270815514,"score_spread":0.24565002661822305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106582389","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99616385,0.0000122691035,0.002986293,0.00036833866,0.00021780026,0.0001474257,0.00004000589,0.000007120282,0.000056921846],"genre_scores_gemma":[0.9997517,0.0000018382683,0.00009698708,0.00005885707,0.000056672896,0.0000024043834,0.000020379788,0.0000035829319,0.0000076198976],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99934524,0.00017533592,0.00017053433,0.000097397045,0.000103778104,0.0001077345],"domain_scores_gemma":[0.998307,0.0014250849,0.00016376075,0.00005764067,0.000033514167,0.000012994364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008611015,0.00005526379,0.000085847685,0.000041579042,0.00012194578,0.000005356723,0.00009507503,0.00004268208,0.00001734515],"category_scores_gemma":[0.00028901643,0.000032473563,0.00002781232,0.00014994436,0.000115884955,0.000074125266,0.00003887176,0.00010576103,0.0000016596873],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009338126,0.00013985536,0.28420115,0.000010762731,0.000010547868,1.2205956e-7,0.00020852963,0.091600366,0.5526048,0.060084492,0.000012763622,0.011033234],"study_design_scores_gemma":[0.00010353814,0.00003781022,0.6895802,0.0000043767295,0.0000046817645,0.0000021563087,0.0000049135306,0.29388404,0.004819325,0.011507083,0.000017778211,0.00003410868],"about_ca_topic_score_codex":0.00008992723,"about_ca_topic_score_gemma":0.00005450588,"teacher_disagreement_score":0.54778546,"about_ca_system_score_codex":0.000016331258,"about_ca_system_score_gemma":0.000013321567,"threshold_uncertainty_score":0.13242334},"labels":[],"label_agreement":null},{"id":"W2106679837","doi":"10.1523/jneurosci.2744-09.2009","title":"GABAergic Excitation of Spider Mechanoreceptors Increases Information Capacity by Increasing Entropy Rather than Decreasing Jitter","year":2009,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Canadian Institutes of Health Research; Nova Scotia Health Research Foundation","keywords":"Spider; Jitter; GABAergic; Neuroscience; Biology; Computer science; Zoology; Telecommunications; Inhibitory postsynaptic potential","score_opus":0.02238558003019891,"score_gpt":0.24438885648857311,"score_spread":0.2220032764583742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106679837","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926225,0.000011103359,0.0059379167,0.0005318073,0.0005857918,0.0001216689,0.000009794147,0.000018449631,0.00016098458],"genre_scores_gemma":[0.99674964,0.00005785965,0.00065345125,0.0024424125,0.000066846966,6.522732e-7,0.0000010192889,0.0000072723465,0.00002083866],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997837,0.00029891284,0.00065228145,0.00019218707,0.0007576671,0.00026193933],"domain_scores_gemma":[0.99824464,0.0002616221,0.0010120139,0.00014637274,0.00018318031,0.00015215126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065060833,0.00016469338,0.00023485337,0.0003055817,0.00018292818,0.00015246193,0.00032864875,0.00005299246,0.00001392147],"category_scores_gemma":[0.0028144545,0.00013181141,0.00012593031,0.00061382004,0.00015007985,0.0025494054,0.000030797146,0.00022912126,0.0000034109078],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000119593606,0.00013114934,0.0007404356,0.00000691588,7.3175056e-7,0.0000050967265,0.000120332516,0.00011308593,0.9960484,0.0006685708,0.0001783899,0.0018673291],"study_design_scores_gemma":[0.0013136358,0.0024051287,0.10031116,0.00019835687,0.000043254346,0.001259901,0.00014641018,0.0151786525,0.87035465,0.006500931,0.0018374444,0.000450486],"about_ca_topic_score_codex":0.000040857954,"about_ca_topic_score_gemma":0.000001053813,"teacher_disagreement_score":0.12569372,"about_ca_system_score_codex":0.00006559757,"about_ca_system_score_gemma":0.00006185859,"threshold_uncertainty_score":0.5375113},"labels":[],"label_agreement":null},{"id":"W2106740306","doi":"10.1093/cercor/bhu124","title":"Parcellation of Human and Monkey Core Auditory Cortex with fMRI Pattern Classification and Objective Detection of Tonotopic Gradient Reversals","year":2014,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"International Laboratory for Brain, Music and Sound Research; McGill University; Université de Montréal; Montreal Neurological Institute and Hospital","funders":"Biotechnology and Biological Sciences Research Council; Medical Research Council; Wellcome Trust; Volkswagen Foundation; National Centre for the Replacement, Refinement and Reduction of Animals in Research; University of Nottingham","keywords":"Tonotopy; Auditory cortex; Neuroscience; Functional magnetic resonance imaging; Gyrus; Human brain; Neuroimaging; Functional neuroimaging; Core (optical fiber); Computer science; Psychology","score_opus":0.024125563750900587,"score_gpt":0.24051381265260616,"score_spread":0.21638824890170558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106740306","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978009,0.0000067050405,0.0012840274,0.0000355849,0.00018973043,0.00028104623,0.000007634523,0.000022880862,0.00037151683],"genre_scores_gemma":[0.9997122,0.000016088752,0.000015077849,0.000055768553,0.000057413574,0.000008507694,0.0000070313113,0.000011557889,0.000116313735],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99907255,0.00007615791,0.00022791095,0.0003363778,0.0001735296,0.0001134623],"domain_scores_gemma":[0.9993076,0.00009628004,0.0003100202,0.0001686197,0.00006721831,0.00005027989],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009996576,0.00011461564,0.0001753714,0.00008519,0.0001123843,0.00001530172,0.000052843316,0.000059853828,0.0000079769825],"category_scores_gemma":[0.00005275347,0.00009713178,0.000024814186,0.00012109494,0.0001815173,0.00012916405,0.000028227223,0.00009750847,9.584503e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043219326,0.000025035553,0.047173366,0.00005452498,0.000004511883,4.2573643e-7,0.00016067381,0.0000051371076,0.9389592,0.0007977412,0.00000907727,0.012767083],"study_design_scores_gemma":[0.00047051473,0.0008170115,0.90776664,0.000035997313,0.000024992578,0.000009296399,0.000079167934,0.014055164,0.075707935,0.00087904715,0.00004186931,0.00011236257],"about_ca_topic_score_codex":0.000100851925,"about_ca_topic_score_gemma":0.00013021876,"teacher_disagreement_score":0.86325127,"about_ca_system_score_codex":0.0000291474,"about_ca_system_score_gemma":0.000009413093,"threshold_uncertainty_score":0.3960919},"labels":[],"label_agreement":null},{"id":"W2107173891","doi":"10.1186/1471-2202-14-s1-p149","title":"Pattern formation in a mean field model of electrocortical activity","year":2013,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Population; Computer science; Differential equation; Bifurcation; Stochastic differential equation; Field (mathematics); Dynamical systems theory; Statistical physics; Applied mathematics; Mathematics; Mathematical analysis; Physics; Nonlinear system; Pure mathematics","score_opus":0.05207463436689568,"score_gpt":0.26570988013923075,"score_spread":0.21363524577233506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107173891","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90943766,4.649185e-7,0.0895284,0.0002709038,0.00011524393,0.00024862358,0.0000018375612,0.000026344904,0.00037055335],"genre_scores_gemma":[0.9985202,0.0000056715908,0.000075952434,0.0012630648,0.000008758283,0.000028536842,1.3739594e-7,0.000005713522,0.00009196528],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998872,0.000068569796,0.00019048489,0.00032130856,0.00028134134,0.00026632668],"domain_scores_gemma":[0.99947923,0.00016261675,0.00008667638,0.00019398589,0.000020978927,0.000056509547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000084107225,0.00008946708,0.000105335654,0.00010339955,0.000058679092,0.000046171677,0.00023941178,0.00003405458,0.000011769968],"category_scores_gemma":[0.00048647763,0.0000777327,0.00003923933,0.00038391422,0.000071256356,0.00076536776,0.000072937975,0.00014529063,0.000012606374],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009707228,0.00006091286,0.0009623716,0.000012343674,2.7602509e-8,0.0000010308393,0.000032976917,0.0014089314,0.9921714,0.000466225,0.000018229259,0.0048558526],"study_design_scores_gemma":[0.00007937036,0.00008730616,0.0062255473,0.0000040644495,5.1346655e-7,0.00000637944,0.0000020346213,0.571612,0.4212228,0.00070867967,0.0000021574915,0.000049124963],"about_ca_topic_score_codex":0.00006142956,"about_ca_topic_score_gemma":0.00006847868,"teacher_disagreement_score":0.5709486,"about_ca_system_score_codex":0.000021813295,"about_ca_system_score_gemma":0.000026515165,"threshold_uncertainty_score":0.31698474},"labels":[],"label_agreement":null},{"id":"W2107384404","doi":"10.1088/0031-9155/46/7/301","title":"Simultaneous MEG and EEG source analysis","year":2001,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"BC Cancer Agency; University of British Columbia","keywords":"Electroencephalography; Principal component analysis; Computer science; Covariance; Independent component analysis; Covariance matrix; Pattern recognition (psychology); Artificial intelligence; Statistics; Mathematics; Algorithm","score_opus":0.1167393959948774,"score_gpt":0.3526625036370793,"score_spread":0.2359231076422019,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107384404","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99482423,0.00009852983,0.0027610178,0.001232081,0.0000816977,0.000052557858,0.0000018447332,0.000016021871,0.0009320226],"genre_scores_gemma":[0.9968916,0.0008248615,0.000015615762,0.0019669116,0.00011688965,0.0000020902748,0.0000057072784,0.000003614967,0.00017267471],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993842,0.000059508813,0.000112360074,0.00026277167,0.00004215937,0.00013896204],"domain_scores_gemma":[0.9993102,0.0005157718,0.000038641487,0.00008565437,0.0000107277865,0.000039027127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009204885,0.00007903157,0.00019791734,0.0000847771,0.000051855885,0.0000052819832,0.000049407365,0.000039192215,0.0000120310415],"category_scores_gemma":[0.00023358931,0.000053925483,0.00001736827,0.00046220483,0.00022309534,0.000026496753,0.000037762824,0.00010788123,0.0000015474257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009968638,0.00009334986,0.09427518,0.00001820572,0.00004456653,0.00007268834,0.0005360383,0.001241373,0.6162108,0.016244045,0.00010251809,0.2710615],"study_design_scores_gemma":[0.0034929663,0.0021613636,0.029180514,0.00005625693,0.00052173506,0.00021484026,0.00058149494,0.8013583,0.0040645665,0.10543752,0.052112266,0.0008181955],"about_ca_topic_score_codex":0.000094638,"about_ca_topic_score_gemma":0.000040072286,"teacher_disagreement_score":0.8001169,"about_ca_system_score_codex":0.0000054423635,"about_ca_system_score_gemma":0.0000028408376,"threshold_uncertainty_score":0.21990174},"labels":[],"label_agreement":null},{"id":"W2107489108","doi":"10.1109/tnsre.2008.923708","title":"Mapped Clock Oscillators as Ring Devices and Their Application to Neuronal Electrical Rhythms","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Neural Systems and Rehabilitation Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Rhythm; Ring (chemistry); Biological clock; Neuroscience; Computer science; Physics; Psychology; Circadian rhythm; Chemistry; Acoustics","score_opus":0.009361573456903595,"score_gpt":0.2108729587501851,"score_spread":0.20151138529328153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107489108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90014315,0.000037111706,0.098196745,0.00039004374,0.00053490046,0.0005119426,0.000009111276,0.00015541026,0.000021582055],"genre_scores_gemma":[0.9994436,0.000032677293,0.000107108346,0.00013148229,0.00006086479,0.00011592082,6.094423e-7,0.000025705054,0.000082036706],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988097,0.000057921403,0.0002709467,0.0004593309,0.00018068646,0.00022141033],"domain_scores_gemma":[0.99907404,0.00054785307,0.000047512134,0.00014103236,0.000032492215,0.00015704968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009093354,0.000195917,0.00018328767,0.0002255949,0.00031426392,0.000055219458,0.00005729691,0.00006787827,0.0000015942607],"category_scores_gemma":[0.000046363308,0.00016433145,0.000055845187,0.00039637325,0.00004768638,0.00020249466,0.0000023933092,0.0001941313,0.000008014357],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063195126,0.000056696095,0.00018745492,0.00011557155,0.000007945445,0.0000037524871,0.0006328333,0.45068341,0.5379175,0.0012181781,0.000011746195,0.009101707],"study_design_scores_gemma":[0.00035579703,0.0006680125,0.008236533,0.000047102676,0.000007740367,0.000302411,0.00007956845,0.9775907,0.010503817,0.000021890997,0.0018677486,0.00031872318],"about_ca_topic_score_codex":0.000050646027,"about_ca_topic_score_gemma":0.0000045055235,"teacher_disagreement_score":0.52741367,"about_ca_system_score_codex":0.00005079933,"about_ca_system_score_gemma":0.000009575639,"threshold_uncertainty_score":0.6701242},"labels":[],"label_agreement":null},{"id":"W2107682397","doi":"10.1109/cne.2007.369725","title":"Spontaneous Seizure-Like Events in a Coupled Oscillator Network: Horizons for Testing and Implementing Seizure Control","year":2007,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Epilepsy; Hippocampal formation; Neuroscience; Computer science; Control (management); Epileptic seizure; Psychology; Artificial intelligence","score_opus":0.02435222641526702,"score_gpt":0.26597975551490455,"score_spread":0.24162752909963753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107682397","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9835132,0.000015500025,0.0141077535,0.00021798143,0.000465699,0.0009897486,0.000017276432,0.00010170692,0.00057117065],"genre_scores_gemma":[0.996326,0.000003686942,0.0014456585,0.001363378,0.00019828665,0.000024135583,0.0000030776607,0.000025484334,0.0006102674],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99815905,0.00004174329,0.00036931617,0.00046730402,0.00019277622,0.0007697959],"domain_scores_gemma":[0.9978321,0.0017492297,0.00012681907,0.00013305918,0.00004824482,0.00011050997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095505896,0.00017715782,0.00021431182,0.000087488734,0.00031398106,0.000043288095,0.0001058722,0.00007100689,0.000014614929],"category_scores_gemma":[0.0007921372,0.00015579097,0.000047123725,0.00036568058,0.000028512537,0.00011491749,0.000067248264,0.00014663913,0.000002569504],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010544012,0.00019184861,0.100627564,0.00011176598,0.0000280574,0.0011776299,0.00014532475,0.0025198853,0.8585088,0.006814775,0.00083723635,0.027982693],"study_design_scores_gemma":[0.006913382,0.0010097782,0.036502577,0.00009657111,0.000054209453,0.0024648972,0.00015747706,0.9389919,0.001962291,0.004031954,0.006978206,0.00083674805],"about_ca_topic_score_codex":0.00009666662,"about_ca_topic_score_gemma":0.0009462632,"teacher_disagreement_score":0.936472,"about_ca_system_score_codex":0.000057234156,"about_ca_system_score_gemma":0.000030018413,"threshold_uncertainty_score":0.6352972},"labels":[],"label_agreement":null},{"id":"W2107692942","doi":"10.1007/s11571-008-9044-2","title":"Cortical network dynamics with time delays reveals functional connectivity in the resting brain","year":2008,"lang":"en","type":"article","venue":"Cognitive Neurodynamics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":140,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"","keywords":"Functional connectivity; Computer science; Neuroscience; Resting state fMRI; Network dynamics; Dynamics (music); Nerve net; Statistical physics; Physics; Psychology; Mathematics","score_opus":0.034194844524359065,"score_gpt":0.24195246163940418,"score_spread":0.20775761711504512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107692942","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98440415,0.0000063799516,0.008447089,0.0013304318,0.00030335845,0.0006631748,0.000073882635,0.00012167182,0.0046498845],"genre_scores_gemma":[0.991946,0.000017731581,0.00006661435,0.0071492735,0.00019870333,0.000053293075,0.00006867807,0.000051327166,0.0004484246],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99660915,0.0009674398,0.00037990918,0.0008161592,0.00058408844,0.00064324675],"domain_scores_gemma":[0.99247617,0.0067965933,0.00018925576,0.00029407127,0.00014012553,0.00010376528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060708163,0.00032581564,0.00030597232,0.00011316459,0.00077486393,0.00007719551,0.00027810922,0.00011159657,0.000027220447],"category_scores_gemma":[0.003874481,0.00024287673,0.00009253693,0.0011182914,0.0005294433,0.0002832342,0.000112104164,0.0009884904,0.00007367166],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00883908,0.003653451,0.59807855,0.000190825,0.0001235877,0.01462914,0.0015626457,0.084186725,0.14026551,0.12317042,0.007994466,0.017305607],"study_design_scores_gemma":[0.0010541276,0.00055561337,0.48132062,0.000068207795,0.000029028603,0.001880964,0.00006868068,0.51262593,0.000053462496,0.0019029422,0.000051591585,0.00038885657],"about_ca_topic_score_codex":0.000013762941,"about_ca_topic_score_gemma":0.00017664042,"teacher_disagreement_score":0.42843917,"about_ca_system_score_codex":0.000109942244,"about_ca_system_score_gemma":0.00009805662,"threshold_uncertainty_score":0.99042255},"labels":[],"label_agreement":null},{"id":"W2108000189","doi":"10.1002/cne.23377","title":"Cortical connections to single digit representations in area 3b of somatosensory cortex in squirrel monkeys and prosimian galagos","year":2013,"lang":"en","type":"article","venue":"The Journal of Comparative Neurology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Numerical digit; Somatosensory system; Neuroscience; Biology; Squirrel monkey; Prosimian; Cortex (anatomy); Receptive field; Thalamus; Posterior parietal cortex; Psychology; Anatomy; Primate; Arithmetic","score_opus":0.06505195986616168,"score_gpt":0.30189006830911347,"score_spread":0.23683810844295178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108000189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99483323,0.000007899563,0.00020385129,0.003936683,0.00017408587,0.00035059798,0.0000035052867,0.0000050116296,0.00048511557],"genre_scores_gemma":[0.99901026,0.000014278973,0.000017691882,0.00088531105,0.000018688244,0.000008408392,2.2686227e-7,0.0000059165586,0.00003918404],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985294,0.0005244855,0.0004893637,0.00014462131,0.00014374733,0.0001684248],"domain_scores_gemma":[0.99809444,0.0013708217,0.0002444051,0.00012561123,0.00009313702,0.00007156595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011811452,0.00009457489,0.000276516,0.00022935713,0.000064413594,0.00002142126,0.00014285154,0.00003790959,0.000026502606],"category_scores_gemma":[0.0003179412,0.000066765046,0.000033191423,0.00033039553,0.0002528031,0.00018121145,0.000054136763,0.0003733207,0.000008580786],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003206683,0.00025516274,0.01758786,0.0000037023428,0.0000037147317,0.000019292396,0.0010658316,0.0035508864,0.97602797,0.0007760428,0.00028725943,0.00010163284],"study_design_scores_gemma":[0.001541373,0.0033044189,0.8183156,0.000034326877,0.000023088414,0.0009750554,0.0007198561,0.034410696,0.13333093,0.0070068054,0.00016792682,0.00016990806],"about_ca_topic_score_codex":0.000036962527,"about_ca_topic_score_gemma":0.0001452636,"teacher_disagreement_score":0.842697,"about_ca_system_score_codex":0.000013578272,"about_ca_system_score_gemma":0.000025663776,"threshold_uncertainty_score":0.27225995},"labels":[],"label_agreement":null},{"id":"W2108594862","doi":"10.1186/1471-2202-14-s1-p117","title":"Neuronal coding in the rodent prefrontal cortex","year":2013,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft","keywords":"Prefrontal cortex; Neuroscience; Psychology; Coding (social sciences); Consumer neuroscience; Cognitive science; Cognitive psychology; Cognition; Sociology","score_opus":0.04850180532476232,"score_gpt":0.2603609845420087,"score_spread":0.21185917921724634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108594862","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948264,0.000003299911,0.0006025419,0.00070531666,0.0010992336,0.0005055459,0.0000041290014,0.000054805627,0.0021987685],"genre_scores_gemma":[0.99283946,0.000011506132,0.000033371798,0.0063684545,0.00005573904,0.000064246655,4.927473e-7,0.000010848971,0.00061589957],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9979248,0.00022502743,0.00022671514,0.00062886375,0.00056790863,0.0004266812],"domain_scores_gemma":[0.9991724,0.000319452,0.000081598926,0.0003378779,0.000015722457,0.00007296216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022150285,0.00014887331,0.00010251433,0.000087951565,0.0002731577,0.00031121663,0.0008014781,0.000027797765,0.000047410456],"category_scores_gemma":[0.00060553936,0.000100813304,0.000055245593,0.000602986,0.00023298555,0.0005812635,0.00014204317,0.0002419501,0.00013414449],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005808235,0.00007009572,0.0043115616,0.0000045484417,3.943483e-8,0.000013640651,0.00006309942,0.00021173309,0.99132454,0.0032045026,0.00020272347,0.00058772764],"study_design_scores_gemma":[0.00022475077,0.00015471368,0.9089177,0.000007812668,0.0000017055467,0.00012095752,0.000046353543,0.07460337,0.013923656,0.00072992215,0.0010951685,0.00017389427],"about_ca_topic_score_codex":0.00007342515,"about_ca_topic_score_gemma":0.000050988732,"teacher_disagreement_score":0.97740084,"about_ca_system_score_codex":0.000027864658,"about_ca_system_score_gemma":0.000040404928,"threshold_uncertainty_score":0.4111047},"labels":[],"label_agreement":null},{"id":"W2108709800","doi":"10.1523/jneurosci.2693-08.2008","title":"Increasing Spectrotemporal Sound Density Reveals an Octave-Based Organization in Cat Primary Auditory Cortex","year":2008,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Fondation pour la Recherche Médicale","keywords":"Auditory cortex; Tonotopy; Receptive field; Stimulus (psychology); Neuroscience; Natural sounds; Psychology; Physics; Acoustics","score_opus":0.03372726652527593,"score_gpt":0.25145140865756294,"score_spread":0.217724142132287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108709800","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965271,0.0000042075485,0.0015209842,0.00026992068,0.0014480727,0.00012285449,0.0000024219257,0.000026350092,0.00007811671],"genre_scores_gemma":[0.99661505,0.000032787342,0.00038920774,0.002654806,0.0002399497,4.0191003e-7,9.657764e-7,0.000018222332,0.000048607155],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99772567,0.0003945307,0.0005041689,0.00037343262,0.00071244413,0.00028974275],"domain_scores_gemma":[0.9986387,0.00020190893,0.0005664331,0.00022019142,0.00019723273,0.00017553395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006366673,0.00015204886,0.0002475902,0.0003127591,0.00034899666,0.00009023219,0.0004171299,0.000055442546,0.0000067915694],"category_scores_gemma":[0.0023155098,0.0001356232,0.000051471703,0.0013210131,0.00027503274,0.0010661163,0.00005435543,0.00031138436,0.000004418259],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007319569,0.00015111202,0.06362754,0.000006654557,1.8114127e-7,0.0005287585,0.000052547533,0.00048345907,0.93490225,0.000048212125,0.0000625658,0.00006353488],"study_design_scores_gemma":[0.0004955087,0.0004979307,0.9547054,0.000027739785,0.0000048933744,0.0034111887,0.000008299042,0.005210464,0.03497789,0.00042608517,0.00006232975,0.00017222943],"about_ca_topic_score_codex":0.000019775853,"about_ca_topic_score_gemma":0.000008341889,"teacher_disagreement_score":0.89992434,"about_ca_system_score_codex":0.00021948434,"about_ca_system_score_gemma":0.00037888202,"threshold_uncertainty_score":0.55305535},"labels":[],"label_agreement":null},{"id":"W2108769739","doi":"10.1038/nn1512","title":"Neural basis of auditory-induced shifts in visual time-order perception","year":2005,"lang":"en","type":"article","venue":"Nature Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":153,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"National Institute of Mental Health; National Institutes of Natural Sciences; Natural Sciences and Engineering Research Council of Canada","keywords":"Perception; Visual cortex; Psychology; N2pc; Neuroscience; Visual perception; Sensory system; Time perception; Cognitive psychology; Sensory cortex","score_opus":0.013453027534238384,"score_gpt":0.28232107897163233,"score_spread":0.26886805143739395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108769739","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953654,0.000007087137,0.000039509425,0.0016716119,0.0017146538,0.00023461801,0.000008069602,0.00007406421,0.00088498887],"genre_scores_gemma":[0.99475485,0.0000130009585,0.00008681972,0.004464298,0.00025383555,0.000008062794,0.000001341964,0.000019108025,0.000398685],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976648,0.00016655163,0.00031783758,0.0007592578,0.0006823113,0.0004092568],"domain_scores_gemma":[0.99924034,0.00018002903,0.00015320122,0.0002655486,0.00006261272,0.00009829651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002391956,0.00020297113,0.00020430869,0.0002964768,0.00014491628,0.00006124881,0.00045650543,0.00021536901,0.0000762446],"category_scores_gemma":[0.0013025136,0.00018115246,0.00007575844,0.0014916918,0.00017102923,0.0006696379,0.0001131183,0.0007835248,0.000052512998],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040450544,0.00013429631,0.00032170562,0.0000060485927,1.3703449e-7,0.0000092921555,0.00004888814,0.0006268063,0.98912907,0.00013862221,0.000215139,0.009329574],"study_design_scores_gemma":[0.00081340363,0.0007453364,0.23208308,0.000033779634,0.0000081319795,0.0000456673,0.000022664099,0.4556776,0.30702734,0.00012990815,0.0029112466,0.00050184346],"about_ca_topic_score_codex":0.000009040287,"about_ca_topic_score_gemma":0.00001885094,"teacher_disagreement_score":0.6821017,"about_ca_system_score_codex":0.000072404284,"about_ca_system_score_gemma":0.000054880085,"threshold_uncertainty_score":0.7387183},"labels":[],"label_agreement":null},{"id":"W2108919790","doi":"10.1016/j.bpj.2010.01.013","title":"Scale-Free Topology of the CA3 Hippocampal Network: A Novel Method to Analyze Functional Neuronal Assemblies","year":2010,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":61,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Hippocampal formation; Neuroscience; Cluster analysis; Computer science; Soma; Premovement neuronal activity; Synchronization (alternating current); Calcium imaging; Hippocampus; ENCODE; Topology (electrical circuits); Biological system; Pattern recognition (psychology); Biology; Artificial intelligence; Mathematics; Chemistry; Computer network","score_opus":0.027107591923749223,"score_gpt":0.2823614378754745,"score_spread":0.2552538459517253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108919790","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9652326,8.045951e-7,0.02308749,0.0074744425,0.0036726834,0.000117038166,0.000028036216,0.000019916,0.0003669825],"genre_scores_gemma":[0.99115753,0.0000014778991,0.00385601,0.0024844762,0.0021103208,0.0000048364445,7.8903616e-7,0.00001729053,0.00036728522],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99823165,0.00019756732,0.0003255497,0.00032066682,0.0005426211,0.00038196205],"domain_scores_gemma":[0.99868274,0.0004507054,0.00021035575,0.00034960508,0.000108223234,0.00019834902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003412636,0.00016810953,0.00023522455,0.00008008667,0.00037649373,0.0000819144,0.00062148547,0.00008838746,0.00011886852],"category_scores_gemma":[0.00048788823,0.00009770964,0.0002715155,0.000567478,0.00021295357,0.00013467268,0.00031088167,0.00087118667,0.000016671229],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010650322,0.00013670264,0.0005112497,0.0000024005606,0.0000077868735,0.0000032656972,0.00001528821,0.0009931034,0.9834822,0.0091513535,0.0018700323,0.0037201294],"study_design_scores_gemma":[0.0018993722,0.00092722796,0.36598653,0.000034514447,0.00012231061,0.0021815205,0.000036461395,0.03751969,0.5554093,0.019094419,0.016145112,0.0006435612],"about_ca_topic_score_codex":0.000013938231,"about_ca_topic_score_gemma":0.00003626672,"teacher_disagreement_score":0.4280729,"about_ca_system_score_codex":0.000022263008,"about_ca_system_score_gemma":0.00009309377,"threshold_uncertainty_score":0.39844835},"labels":[],"label_agreement":null},{"id":"W2109016782","doi":"10.1162/neco_a_00688","title":"Dynamics of Gamma Bursts in Local Field Potentials","year":2014,"lang":"en","type":"article","venue":"Neural Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Statistical physics; Point process; Amplitude; Stochastic differential equation; Stochastic process; Local field potential; Physics; Stochastic modelling; Representation (politics); Fixed point; Field (mathematics); Mathematics; Mathematical analysis; Neuroscience; Pure mathematics; Quantum mechanics","score_opus":0.01628963814807107,"score_gpt":0.2579783248470386,"score_spread":0.2416886866989675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109016782","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8567374,0.0000017547286,0.14102139,0.0011403306,0.00039037244,0.000108050386,0.0000022759368,0.00003097243,0.000567495],"genre_scores_gemma":[0.9991806,0.000002070396,0.00011004642,0.00061024894,0.00003389717,0.0000024563467,0.0000100321595,0.00000811056,0.000042494616],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999109,0.00012756952,0.00023363669,0.0002162158,0.00017922865,0.00013431277],"domain_scores_gemma":[0.9994309,0.00032380837,0.000102439924,0.00008494603,0.00002889652,0.000029006529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010921935,0.000080750695,0.00012435929,0.00010501246,0.000035852107,0.00002005785,0.00009238334,0.000049371505,0.000009843082],"category_scores_gemma":[0.00020824916,0.00007689866,0.000041213825,0.00023227555,0.00003879234,0.00012374397,0.000031823987,0.000109976245,0.000008039102],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016104961,0.00013608541,0.0027576226,0.00007166916,0.0000020334783,0.000016118413,0.00009850187,0.21895073,0.27220908,0.021820718,0.00014258936,0.4836338],"study_design_scores_gemma":[0.00027943437,0.00027623246,0.006548374,0.000011834179,0.00000248408,0.000009591859,0.000008855972,0.9587102,0.026094574,0.007968448,0.000014793326,0.000075212745],"about_ca_topic_score_codex":0.00005931581,"about_ca_topic_score_gemma":0.0000801495,"teacher_disagreement_score":0.73975945,"about_ca_system_score_codex":0.000028331357,"about_ca_system_score_gemma":0.000006565125,"threshold_uncertainty_score":0.31358364},"labels":[],"label_agreement":null},{"id":"W2109018428","doi":"10.3389/fpsyg.2013.00948","title":"Low-level and high-level modulations of fixational saccades and high frequency oscillatory brain activity in a visual object classification task","year":2013,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Biotechnology and Biological Sciences Research Council; Deutsche Forschungsgemeinschaft","keywords":"Achromatic lens; Psychology; Stimulus (psychology); Saccade; Eye movement; Microsaccade; Neural correlates of consciousness; Neuroscience; Communication; Audiology; Cognitive psychology; Saccadic masking; Cognition; Optics; Physics","score_opus":0.037850831065828754,"score_gpt":0.2972057296003983,"score_spread":0.25935489853456956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109018428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.979536,0.000030962357,0.016827583,0.0022400653,0.0007969641,0.0003350001,0.000065955755,0.000016440797,0.0001510326],"genre_scores_gemma":[0.9960807,0.0000706177,0.0031074737,0.0005601917,0.000032454038,0.000050944895,0.00001277932,0.000012475509,0.000072363924],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99863744,0.0002211716,0.00028507548,0.000506833,0.00014123232,0.00020825883],"domain_scores_gemma":[0.9993883,0.00020268637,0.00015918768,0.000165945,0.00003297217,0.000050953702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019038084,0.0001342513,0.00021856684,0.00037794083,0.00006703737,0.00002187609,0.00010163756,0.00016960637,0.00002623826],"category_scores_gemma":[0.00028562616,0.0001353359,0.00002169132,0.00032951336,0.0002770489,0.00028574487,0.000033713874,0.0002181447,0.0000034275915],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006651687,0.00021570524,0.13209085,0.000023383614,0.0000059508384,0.0000023762318,0.00016715987,0.00003696731,0.8042456,0.0034438637,0.0018317009,0.057869952],"study_design_scores_gemma":[0.0007923063,0.00009254299,0.9413213,0.000013747116,0.0000027920225,0.000007191038,0.000033386546,0.013742849,0.0014179535,0.04242442,0.000024241692,0.00012724775],"about_ca_topic_score_codex":0.00023837358,"about_ca_topic_score_gemma":0.000091831505,"teacher_disagreement_score":0.80923045,"about_ca_system_score_codex":0.000058459013,"about_ca_system_score_gemma":0.00003271994,"threshold_uncertainty_score":0.5518838},"labels":[],"label_agreement":null},{"id":"W2109088965","doi":"10.1007/s10867-010-9207-3","title":"Responses of recurrent nets of asymmetric ON and OFF cells","year":2010,"lang":"en","type":"article","venue":"Journal of Biological Physics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Receptive field; Oscillation (cell signaling); Asymmetry; Polarity (international relations); Physics; Inhibitory postsynaptic potential; Forcing (mathematics); Neuroscience; Amplitude; Biological system; Artificial neural network; Field (mathematics); Computer science; Statistical physics; Mathematics; Biology; Artificial intelligence; Optics","score_opus":0.05544605396922558,"score_gpt":0.2878079076561131,"score_spread":0.2323618536868875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109088965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989836,0.000029867784,0.000049991067,0.00014340314,0.00050871767,0.000041609277,0.000012376039,0.000002360359,0.00022805548],"genre_scores_gemma":[0.9993344,0.0002896571,0.00011626686,0.00014661478,0.000092473994,1.7496787e-7,1.8754213e-7,0.0000026425255,0.00001758284],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993014,0.00009489358,0.00026613992,0.00009762485,0.00015942422,0.000080561804],"domain_scores_gemma":[0.9986596,0.00072740245,0.00041922255,0.00007723826,0.000069624715,0.000046930003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021859081,0.00006629829,0.00019208946,0.00006595061,0.000022939406,0.000006659851,0.0001138199,0.00005259591,0.000005397804],"category_scores_gemma":[0.0006988466,0.000038665075,0.00008330946,0.00021866985,0.00013627738,0.00004663684,0.00003357322,0.000267565,0.0000011676192],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003051215,0.00018664767,0.00046490796,0.0000048568545,0.0000021807161,0.000003505869,0.00000803083,0.000010847096,0.9392753,0.0019598906,0.00010633418,0.057672355],"study_design_scores_gemma":[0.00031671335,0.0036703271,0.023960805,0.000024601622,0.000007969488,0.000016666823,0.0000064050214,0.00034857192,0.96191555,0.008222114,0.0014383699,0.00007188109],"about_ca_topic_score_codex":6.6433483e-7,"about_ca_topic_score_gemma":1.4637402e-7,"teacher_disagreement_score":0.057600476,"about_ca_system_score_codex":0.0000046235823,"about_ca_system_score_gemma":0.0000141827795,"threshold_uncertainty_score":0.1576716},"labels":[],"label_agreement":null},{"id":"W2109315429","doi":"10.1155/2014/318390","title":"An Electronic Circuit Model of the Interpostsynaptic Functional LINK Designed to Study the Formation of Internal Sensations in the Nervous System","year":2014,"lang":"en","type":"article","venue":"Advances in Artificial Neural Systems","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; University of Toronto; University of Manitoba; Sunnybrook Health Science Centre","funders":"","keywords":"Computer science; Neuroscience; Context (archaeology); Perception; Biological neural network; Nervous system; Property (philosophy); Consciousness; Mechanism (biology); Internal model; Artificial intelligence; Psychology; Biology; Control (management)","score_opus":0.03522283314677705,"score_gpt":0.27082032503057346,"score_spread":0.23559749188379642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109315429","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9704383,0.000019161873,0.027105507,0.0003012306,0.0007715848,0.0012418164,0.0000073935057,0.000018447825,0.00009658316],"genre_scores_gemma":[0.99960417,0.0000018000435,0.0000032377698,0.0001637045,0.000093902505,0.00011360157,0.0000011417064,0.000010155583,0.000008261679],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99736094,0.0010773083,0.0006611744,0.00025094004,0.00041931312,0.00023033978],"domain_scores_gemma":[0.9987414,0.0004732876,0.00030790505,0.00039451083,0.00006053177,0.000022372955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095825875,0.00012785754,0.00018946058,0.00010879734,0.00016712057,0.000055465312,0.0005263702,0.00003321133,7.432239e-7],"category_scores_gemma":[0.00023591511,0.00006843674,0.00006038298,0.00053864624,0.00007327197,0.00037679743,0.000046155175,0.00022666667,0.00000256597],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013178252,0.00014598564,0.0010295872,0.00003881123,0.0000027258134,9.2525346e-7,0.0018974916,0.73908055,0.22261375,0.030111428,0.0000017867679,0.004945156],"study_design_scores_gemma":[0.00015790162,0.00046798296,0.0021264558,0.000046232635,0.000010439767,0.000025904226,0.0018884059,0.9886051,0.005129747,0.0014513163,0.000011786299,0.000078747],"about_ca_topic_score_codex":0.00013307513,"about_ca_topic_score_gemma":0.0009432188,"teacher_disagreement_score":0.24952452,"about_ca_system_score_codex":0.00009817374,"about_ca_system_score_gemma":0.000022739889,"threshold_uncertainty_score":0.2790769},"labels":[],"label_agreement":null},{"id":"W2109430458","doi":"10.1093/cercor/bhm188","title":"Corticothalamic Feedback for Sound-Specific Plasticity of Auditory Thalamic Neurons Elicited by Tones Paired with Basal Forebrain Stimulation","year":2008,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Medial geniculate body; Neuroscience; Auditory cortex; Thalamus; Receptive field; Basal forebrain; Forebrain; Neuroplasticity; Stimulation; Muscimol; Cholinergic; Inhibitory postsynaptic potential; Nucleus; Inferior colliculus; Biology; Psychology; Central nervous system; Agonist; Receptor","score_opus":0.033217476124595934,"score_gpt":0.23494220335813065,"score_spread":0.2017247272335347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109430458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9839475,0.000010232511,0.013835811,0.00014425576,0.000727827,0.0008178625,0.00021449158,0.00014374495,0.00015828299],"genre_scores_gemma":[0.99837434,0.000016087924,0.00020684063,0.0003416716,0.00016991141,0.00004195481,0.00009264477,0.00006287014,0.0006936796],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99787116,0.0001000955,0.00046589016,0.000677872,0.00042494346,0.0004600405],"domain_scores_gemma":[0.99847186,0.0006611358,0.00033385257,0.0002928675,0.00012485872,0.00011544165],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007115952,0.00031012562,0.00036440886,0.0001372527,0.00035468538,0.00003850591,0.00024542265,0.000105033,0.000060977083],"category_scores_gemma":[0.0002099663,0.0002666007,0.00013572528,0.00039573072,0.00037679053,0.0003246611,0.00004991631,0.00019732463,0.000016744842],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062225177,0.00027538714,0.019506028,0.00006044022,0.000016181706,0.000014609242,0.00010957725,0.0014108875,0.9693268,0.0012644908,0.006733289,0.0006600571],"study_design_scores_gemma":[0.0040993295,0.0020245772,0.73721457,0.000060915678,0.00006386865,0.00014148981,0.000050366394,0.16349548,0.08891119,0.002377314,0.00076207815,0.0007987945],"about_ca_topic_score_codex":0.000021508657,"about_ca_topic_score_gemma":0.000026027245,"teacher_disagreement_score":0.8804156,"about_ca_system_score_codex":0.00007412638,"about_ca_system_score_gemma":0.000067686145,"threshold_uncertainty_score":0.9999786},"labels":[],"label_agreement":null},{"id":"W2109460648","doi":"10.1162/neco.2008.01-07-436","title":"Encoding and Decoding Spikes for Dynamic Stimuli","year":2008,"lang":"en","type":"article","venue":"Neural Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Encoder; Decoding methods; Computer science; Stimulus (psychology); Sensory system; Encoding (memory); Artificial neural network; Population; Artificial intelligence; Pattern recognition (psychology); Neuroscience; Algorithm; Psychology","score_opus":0.07197136956528402,"score_gpt":0.31024892537724763,"score_spread":0.2382775558119636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109460648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95461345,0.000015661048,0.04404205,0.00040319716,0.0004213199,0.00024694522,0.0000058173405,0.00009614193,0.00015539376],"genre_scores_gemma":[0.99808216,0.000025467836,0.001210143,0.0005057676,0.000046065576,0.00001067669,0.000008672441,0.0000127564,0.00009827266],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927187,0.000033089265,0.00014047175,0.00028428406,0.00011342556,0.00015687062],"domain_scores_gemma":[0.9994409,0.00037193843,0.00006641897,0.000049414713,0.000027748856,0.00004358823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000052282518,0.00009477603,0.000093240145,0.00007426197,0.00036972677,0.000043852655,0.00005174221,0.00002986367,0.00000254738],"category_scores_gemma":[0.0001801293,0.000089544694,0.000035272977,0.00012080376,0.000051178795,0.00023293786,0.000025519386,0.000069601,0.00000395991],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007986247,0.000032010466,0.0012253242,0.00004366054,0.000001784822,0.000021807793,0.00025195797,0.018011363,0.9071421,0.0014176446,0.00018151353,0.07159098],"study_design_scores_gemma":[0.0003660754,0.00015220729,0.0054025515,0.0000067908377,0.0000045560914,0.000111985944,0.000010278359,0.9838196,0.008254665,0.001675117,0.00008492427,0.000111235604],"about_ca_topic_score_codex":0.0000033212552,"about_ca_topic_score_gemma":0.0000029882817,"teacher_disagreement_score":0.9658083,"about_ca_system_score_codex":0.00002430173,"about_ca_system_score_gemma":0.000007933725,"threshold_uncertainty_score":0.3651527},"labels":[],"label_agreement":null},{"id":"W2109702411","doi":"10.1007/s00221-010-2407-z","title":"Tactile suppression of displacement","year":2010,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Neuroscience; Psychology; Physics; Nuclear magnetic resonance","score_opus":0.07552259120953428,"score_gpt":0.4166358170516279,"score_spread":0.3411132258420936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109702411","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98361593,0.0000137104635,0.0000115424455,0.0011095771,0.0006388679,0.00031141366,0.000011903241,0.000026790227,0.014260288],"genre_scores_gemma":[0.99620676,0.000003175338,0.00008172886,0.00017785808,0.00008533388,0.000048091933,0.000004727883,0.000015860713,0.003376457],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981688,0.00020251295,0.00016732792,0.0003546349,0.0007679719,0.00033870718],"domain_scores_gemma":[0.9988737,0.00060606754,0.000040024777,0.00032662298,0.00004197379,0.00011160869],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00051727996,0.0000892119,0.000098774944,0.0001395317,0.00022658294,0.000048906888,0.00029910135,0.000059323993,0.0015238116],"category_scores_gemma":[0.00061912346,0.00007321636,0.000049625163,0.0002885408,0.0002900169,0.00016388866,0.00027534613,0.0004567403,0.00010223118],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009696689,0.00026094876,0.000106061176,0.0000068296017,0.0000010266926,0.0000073050655,0.00017787905,0.0000015376638,0.98151153,0.008594294,0.008451551,0.0007840443],"study_design_scores_gemma":[0.00031904873,0.00028531344,0.00047198634,0.000008350047,3.1647807e-7,0.000008327,0.00020486192,0.0010874181,0.9829475,0.0002822668,0.014311144,0.00007346183],"about_ca_topic_score_codex":0.000049310696,"about_ca_topic_score_gemma":0.0000048182656,"teacher_disagreement_score":0.012590859,"about_ca_system_score_codex":0.000032766628,"about_ca_system_score_gemma":0.000031529788,"threshold_uncertainty_score":0.99938893},"labels":[],"label_agreement":null},{"id":"W2109955875","doi":"10.1152/jn.00642.2010","title":"Removal of Spurious Correlations Between Spikes and Local Field Potentials","year":2010,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":202,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research","keywords":"Spurious relationship; Local field potential; Physics; Neuroscience; Computer science; Psychology; Machine learning","score_opus":0.018565497451498648,"score_gpt":0.25947900568398147,"score_spread":0.2409135082324828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109955875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964389,0.0000055358146,0.001479578,0.00071599317,0.0011473143,0.00004235852,0.00000446071,0.000005255853,0.00016057897],"genre_scores_gemma":[0.99899864,0.000042945387,0.00018577103,0.00042130053,0.000272074,1.8337244e-7,3.3291045e-7,0.00000728744,0.000071437535],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99923575,0.00008578438,0.000329707,0.00012469117,0.00011534285,0.000108700675],"domain_scores_gemma":[0.9989189,0.0005328722,0.00031921826,0.0001061683,0.00006305131,0.000059807262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000043643235,0.00007353454,0.00021943396,0.00009909187,0.000060055794,0.0000098913015,0.00013266674,0.00007064753,0.000025758725],"category_scores_gemma":[0.0005511099,0.00005693463,0.00007635779,0.00009686006,0.00016259668,0.00009655771,0.00004947892,0.00040227768,0.0000036802858],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005340871,0.00002435583,0.00012998663,0.0000053109316,0.0000026566447,0.00014139999,0.000011287074,0.00014132715,0.98970944,0.0007948777,0.000037637383,0.008948317],"study_design_scores_gemma":[0.0025325248,0.011717969,0.36006898,0.00006366567,0.00022388644,0.016886517,0.000045723893,0.010147503,0.5472214,0.038637757,0.01189211,0.00056196394],"about_ca_topic_score_codex":0.0000055891073,"about_ca_topic_score_gemma":0.0000010355968,"teacher_disagreement_score":0.442488,"about_ca_system_score_codex":0.000002495745,"about_ca_system_score_gemma":0.00002231115,"threshold_uncertainty_score":0.23217268},"labels":[],"label_agreement":null},{"id":"W2109957027","doi":"10.1093/cercor/bhh071","title":"Selective Amplification of Neocortical Neuronal Output by Fast Prepotentials InVivo","year":2004,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Institute of Neurological Disorders and Stroke","keywords":"Neuroscience; Soma; Bursting; Cortical neurons; Optogenetics; Postsynaptic potential; Mechanism (biology); Neocortex; Electrophysiology; Biology; Physics","score_opus":0.020819826885706837,"score_gpt":0.2457280580600315,"score_spread":0.22490823117432468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109957027","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891351,0.000005553473,0.007748851,0.00050784147,0.00036566975,0.0003199761,0.000045952078,0.000075261014,0.0017958285],"genre_scores_gemma":[0.9983756,0.0000070440055,0.000100019664,0.0006503573,0.00006155092,0.000015617969,0.00001910479,0.000019491223,0.00075119355],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99854773,0.00007020709,0.00033239785,0.00047858176,0.00031616856,0.00025490866],"domain_scores_gemma":[0.9993579,0.00007077722,0.00017879775,0.00022766736,0.000066596775,0.000098302145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000676375,0.00014597582,0.0001770394,0.00006262334,0.00011162292,0.000042025735,0.00018369703,0.00007364298,0.000054473843],"category_scores_gemma":[0.0002629899,0.00013414655,0.00008782722,0.00029716082,0.00014950534,0.0002087333,0.000059110007,0.00017769872,0.000044462682],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054180517,0.00014473034,0.0007380356,0.000011575142,0.0000040084847,0.0000023700572,0.000048219983,0.00014736502,0.98918283,0.0069056656,0.00059063017,0.002170403],"study_design_scores_gemma":[0.0009844527,0.00060926547,0.12778963,0.000022148599,0.000030174646,0.000046506153,0.000026357193,0.0024528047,0.85586107,0.011110555,0.000746185,0.00032084246],"about_ca_topic_score_codex":0.00004610799,"about_ca_topic_score_gemma":0.000006854462,"teacher_disagreement_score":0.13332173,"about_ca_system_score_codex":0.000055766202,"about_ca_system_score_gemma":0.000059567057,"threshold_uncertainty_score":0.5470338},"labels":[],"label_agreement":null},{"id":"W2110316244","doi":"10.1162/089976603762552915","title":"Interspike Interval Correlations, Memory, Adaptation, and Refractoriness in a Leaky Integrate-and-Fire Model with Threshold Fatigue","year":2003,"lang":"en","type":"article","venue":"Neural Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":99,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Waveform; Refractory period; Stimulus (psychology); White noise; Time constant; Chaotic; Physics; Interval (graph theory); Statistical physics; Mathematics; Control theory (sociology); Voltage; Statistics; Computer science","score_opus":0.06342231573025016,"score_gpt":0.2755747761819044,"score_spread":0.21215246045165426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110316244","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9397355,0.000023550205,0.059046883,0.00041508616,0.00021006359,0.00026718323,0.0000034843729,0.000055432985,0.00024286564],"genre_scores_gemma":[0.9987689,0.00001642214,0.0006407044,0.00035035226,0.000013830203,0.000018842844,0.0000119066,0.000018463583,0.00016053111],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99890554,0.00010469302,0.00024842154,0.00040478134,0.00017666006,0.00015988643],"domain_scores_gemma":[0.9995265,0.00015241618,0.00011346147,0.0000882048,0.00006096155,0.000058446567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011287662,0.00016766414,0.00015452469,0.00012973043,0.00012076159,0.0001084991,0.000059290458,0.000053465443,0.0000031928125],"category_scores_gemma":[0.00015559209,0.00013750936,0.000019738643,0.00029624513,0.000081916914,0.0005151324,0.000027570757,0.00025197945,0.0000017048029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037137035,0.000146473,0.0095584635,0.000066043685,0.000007021769,0.000038583355,0.004006631,0.9117918,0.013922573,0.015002218,0.00009647963,0.044992324],"study_design_scores_gemma":[0.00063101656,0.00017254463,0.0038065466,0.000044296085,0.000007239095,0.000058271253,0.0003032966,0.9920954,0.00054386683,0.0021724768,0.000010319413,0.00015470055],"about_ca_topic_score_codex":0.000043733136,"about_ca_topic_score_gemma":0.00015152761,"teacher_disagreement_score":0.08030361,"about_ca_system_score_codex":0.000047054567,"about_ca_system_score_gemma":0.000026227659,"threshold_uncertainty_score":0.56074685},"labels":[],"label_agreement":null},{"id":"W2110345745","doi":"10.1523/jneurosci.2500-14.2014","title":"Motor Cortex Is Functionally Organized as a Set of Spatially Distinct Representations for Complex Movements","year":2014,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":133,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Forelimb; Neuroscience; Motor cortex; Microstimulation; Movement (music); Supplementary motor area; Duration (music); Stimulation; Biology; Psychology; Physics; Functional magnetic resonance imaging","score_opus":0.059732088458293725,"score_gpt":0.3158413820707091,"score_spread":0.2561092936124154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110345745","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9680936,0.0000017182588,0.027740022,0.0015871912,0.0016198138,0.00031403592,0.000101706035,0.000015967225,0.00052595435],"genre_scores_gemma":[0.9945302,0.000009124845,0.0005713158,0.003654045,0.0001579336,0.000004497916,0.00000196857,0.00001516579,0.00105574],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998008,0.00010906117,0.00060361717,0.0003291675,0.000736298,0.000213823],"domain_scores_gemma":[0.99793506,0.0005143378,0.00085404486,0.00022345979,0.00034074837,0.00013237336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038099784,0.00013074293,0.00024460268,0.00016746367,0.00023607006,0.00009493904,0.0004698958,0.00003048143,0.00007579745],"category_scores_gemma":[0.0037906168,0.000107506916,0.00015482574,0.0004535775,0.0001924428,0.0003583493,0.000078054065,0.0001331871,0.000006011061],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001671947,0.00008909292,0.0007904195,0.000013355183,0.0000019679585,0.0000051339807,0.00004676486,0.000112369285,0.9965623,0.0009241116,0.0006601617,0.0006271321],"study_design_scores_gemma":[0.0047084913,0.00711622,0.5455655,0.00008310651,0.000083757746,0.00065400545,0.000057849542,0.1802115,0.2071236,0.013211196,0.040643804,0.000540975],"about_ca_topic_score_codex":0.000011355565,"about_ca_topic_score_gemma":0.0000029133048,"teacher_disagreement_score":0.78943866,"about_ca_system_score_codex":0.000028870047,"about_ca_system_score_gemma":0.00011818099,"threshold_uncertainty_score":0.4537996},"labels":[],"label_agreement":null},{"id":"W2110611184","doi":"10.1109/iembs.2008.4650469","title":"Effects of I<sub>h</sub> and I<sub>KLT</sub> on the response of the auditory nerve to electrical stimulation in a stochastic Hodgkin-Huxley model","year":2008,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Stimulation; Chemistry; Neuroscience; Biology","score_opus":0.018075183743331624,"score_gpt":0.22770908743706816,"score_spread":0.20963390369373655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110611184","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921447,0.000008054342,0.006345726,0.00044924713,0.00018991019,0.00079201267,0.0000048784846,0.00002303928,0.000042452168],"genre_scores_gemma":[0.99910235,0.000009659758,0.00001567066,0.00073326257,0.000034101966,0.000034386077,3.463548e-7,0.000017749831,0.000052468666],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981693,0.0005016626,0.00029267784,0.00036310538,0.0004301614,0.00024306856],"domain_scores_gemma":[0.9963144,0.0031422076,0.0001343935,0.0002957385,0.000049142312,0.000064105356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038723473,0.00016718596,0.00020408789,0.00018046173,0.00015014764,0.000012591878,0.00020135137,0.00008212592,0.0000010134451],"category_scores_gemma":[0.0023948962,0.00010076076,0.0000765035,0.00068290706,0.00014787806,0.00008864883,0.00009846938,0.00024051224,0.0000048486063],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011084531,0.000111943824,0.00006918415,0.000011014412,0.0000020426082,0.0000050897056,0.00015858545,0.0827595,0.914089,0.0008066279,0.00023929904,0.00063924293],"study_design_scores_gemma":[0.0003349568,0.00037781987,0.036822792,0.000028968136,0.000007033596,0.000008092767,0.0000027842418,0.352851,0.6089927,0.00049401034,8.21164e-7,0.000078999474],"about_ca_topic_score_codex":0.000010035712,"about_ca_topic_score_gemma":0.0000129570935,"teacher_disagreement_score":0.3050963,"about_ca_system_score_codex":0.000064128006,"about_ca_system_score_gemma":0.000086817825,"threshold_uncertainty_score":0.41089043},"labels":[],"label_agreement":null},{"id":"W2110655362","doi":"10.1097/01.wnr.0000185011.91197.58","title":"Development of visual-evoked potentials to radially modulated concentric patterns","year":2005,"lang":"en","type":"article","venue":"Neuroreport","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université de Montréal","funders":"","keywords":"Concentric; Electrophysiology; Scalp; Neuroscience; Visual cortex; Visual N1; Psychology; P200; Evoked potential; Audiology; Visual perception; Anatomy; Biology; Medicine; Perception","score_opus":0.027759505794072586,"score_gpt":0.27765848640185425,"score_spread":0.24989898060778168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110655362","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963159,0.0000024642748,0.0016045674,0.00031969877,0.0005810356,0.00035544517,0.000006791396,0.000091568894,0.0007225275],"genre_scores_gemma":[0.9970071,0.0000065779523,0.0005804602,0.0015695157,0.00008683985,0.000013235477,0.000008023404,0.000024904597,0.00070337753],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981159,0.000051785046,0.00061221403,0.00048727304,0.00044324194,0.0002895675],"domain_scores_gemma":[0.9992566,0.00004668285,0.00024333615,0.00024263469,0.000060802384,0.00014994328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015025804,0.00015881695,0.00021417353,0.00011768284,0.000096476986,0.000032646596,0.00017351746,0.000048115166,0.00010617632],"category_scores_gemma":[0.00026722086,0.00014772834,0.000068664136,0.00037704568,0.000024541225,0.00012655444,0.00009652358,0.00009651355,0.00007319127],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033883996,0.00013145812,0.0031418689,0.000010443797,0.000004025944,0.00009586903,0.00012064528,0.00065667275,0.9704997,0.000060905415,0.00014476021,0.025099779],"study_design_scores_gemma":[0.000342166,0.00011394619,0.09488642,0.000015510765,0.00000952831,0.000094809,0.000005135912,0.0055306796,0.8839646,0.00001902514,0.014807549,0.00021065402],"about_ca_topic_score_codex":0.0000095263085,"about_ca_topic_score_gemma":0.000009007554,"teacher_disagreement_score":0.09174455,"about_ca_system_score_codex":0.000047866888,"about_ca_system_score_gemma":0.00008587589,"threshold_uncertainty_score":0.60241866},"labels":[],"label_agreement":null},{"id":"W2110740041","doi":"10.1109/iembs.1989.95952","title":"Detection of spatial abnormalities in the EEG by spherical harmonic expansion","year":2003,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Electroencephalography; Spherical harmonics; Singular value decomposition; Artificial intelligence; Feature (linguistics); Harmonic; Pattern recognition (psychology); Computer science; Harmonic analysis; Decomposition; Mathematics; Speech recognition; Algorithm; Mathematical analysis; Physics; Neuroscience; Psychology; Acoustics; Philosophy; Chemistry","score_opus":0.019399774809677413,"score_gpt":0.23015078217877333,"score_spread":0.2107510073690959,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110740041","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901074,0.000010296133,0.0059355022,0.00013599066,0.00020164157,0.00010633383,0.0000017256922,0.000015640235,0.003485472],"genre_scores_gemma":[0.9990715,0.000019121071,0.000021531601,0.00050021947,0.000006267346,0.0000072661614,5.235251e-7,0.000004069752,0.00036949376],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992757,0.00017448771,0.00013576876,0.00013528217,0.0001662048,0.00011259341],"domain_scores_gemma":[0.99970293,0.00013393254,0.000037380338,0.00010359146,0.000008501862,0.0000136340295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001543702,0.000056683075,0.000061688894,0.00002013552,0.000050824896,0.000017250371,0.000075473545,0.000029709967,0.000081361664],"category_scores_gemma":[0.00014843175,0.000035716617,0.000028954524,0.00016101608,0.000043565648,0.000091019785,0.00000922278,0.000089851535,0.0000074930545],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020118498,0.000045154462,0.00021187919,0.000003491243,2.4927772e-7,0.0000015004733,0.00006786721,0.000018591087,0.9945989,0.0013956624,0.00007704441,0.0035595454],"study_design_scores_gemma":[0.00022655509,0.0002354112,0.0053606727,0.000003125025,0.0000020696045,0.000017934542,0.0002103879,0.003815902,0.986856,0.00082306896,0.0023772519,0.00007163952],"about_ca_topic_score_codex":0.00029003384,"about_ca_topic_score_gemma":0.00011207017,"teacher_disagreement_score":0.008964109,"about_ca_system_score_codex":0.000014353699,"about_ca_system_score_gemma":0.000008919672,"threshold_uncertainty_score":0.14564814},"labels":[],"label_agreement":null},{"id":"W2110825799","doi":"10.1186/1471-2202-12-s1-p197","title":"Metabifurcation analysis unveils hidden dynamical structure of a neural population model","year":2011,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Parameter space; Bifurcation; Population; Attractor; Statistical physics; Mathematics; Dynamical systems theory; Artificial neural network; Computer science; Artificial intelligence; Physics; Mathematical analysis; Statistics; Nonlinear system","score_opus":0.06777454702348809,"score_gpt":0.2732921206526389,"score_spread":0.20551757362915082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110825799","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9728801,0.000003197695,0.02616711,0.00003088249,0.0003739199,0.00021036113,0.000056064517,0.000075752796,0.00020261231],"genre_scores_gemma":[0.99780285,0.0000034272666,0.0016408726,0.00035808395,0.000017642462,0.0000074947425,0.000008452996,0.000014221565,0.00014696129],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99788576,0.00015753746,0.0003934476,0.0007254421,0.00053693925,0.0003008534],"domain_scores_gemma":[0.9990029,0.00008105362,0.00028663495,0.00046410935,0.000056823978,0.000108500215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000118205426,0.0001839796,0.00026228334,0.00037833353,0.00016514212,0.000047123187,0.00048637178,0.000067028144,0.000040326166],"category_scores_gemma":[0.00052484055,0.00015748186,0.00018022936,0.002082304,0.00019467445,0.0005755204,0.000109350636,0.00015348832,0.0000024641286],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040692947,0.00006972955,0.022120921,0.000012189982,0.0000021969506,0.0000018639452,0.00009281438,0.023703061,0.94525427,0.0080607645,0.0000034136601,0.0006381029],"study_design_scores_gemma":[0.00009650989,0.00005973516,0.20038544,0.0000016902691,0.00007230192,0.000008016912,0.0000048543575,0.74800235,0.04838809,0.0028544385,0.0000016473621,0.00012493921],"about_ca_topic_score_codex":0.00009536175,"about_ca_topic_score_gemma":0.00009515872,"teacher_disagreement_score":0.89686614,"about_ca_system_score_codex":0.000031417963,"about_ca_system_score_gemma":0.00003616193,"threshold_uncertainty_score":0.64219236},"labels":[],"label_agreement":null},{"id":"W2111659938","doi":"10.1186/1471-2202-15-s1-p203","title":"Neural dynamics of the speed-accuracy trade-off","year":2014,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Dynamics (music); Artificial neural network; Artificial intelligence; Neuroscience; Psychology","score_opus":0.03534052566096997,"score_gpt":0.26185067124247985,"score_spread":0.2265101455815099,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111659938","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99117684,0.0000045287425,0.0015393153,0.001831967,0.0029391928,0.00028754782,0.000020338575,0.00008077618,0.0021194709],"genre_scores_gemma":[0.9962093,0.000009876652,0.000039729635,0.0030683044,0.000068675414,0.0000033544693,5.248997e-7,0.000018156574,0.0005820754],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978325,0.0002750336,0.00031263885,0.00060538977,0.0005919293,0.00038256016],"domain_scores_gemma":[0.9984041,0.00056920963,0.0002521818,0.00065916573,0.000019489016,0.000095882715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025433028,0.00018175342,0.0001710573,0.00006889502,0.00034079302,0.00009310454,0.0010967129,0.00004415619,0.000010681386],"category_scores_gemma":[0.0033678801,0.00012378553,0.00014747008,0.0009106243,0.0005888026,0.00033505147,0.0002468062,0.0002373402,0.0000088568895],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017886941,0.00007272439,0.0050180154,0.000020275027,1.536032e-7,0.0000019145195,0.000026440699,0.0030392278,0.96070695,0.02290976,0.00012266455,0.008063973],"study_design_scores_gemma":[0.00023122563,0.00015565338,0.07005702,0.000012117197,0.00000607626,0.00007969059,0.000009064211,0.83931273,0.08575454,0.0011894769,0.0030028184,0.0001895833],"about_ca_topic_score_codex":0.000009307904,"about_ca_topic_score_gemma":0.000027254126,"teacher_disagreement_score":0.87495244,"about_ca_system_score_codex":0.000028790471,"about_ca_system_score_gemma":0.00004854763,"threshold_uncertainty_score":0.50478274},"labels":[],"label_agreement":null},{"id":"W2111700131","doi":"10.1093/cercor/bhn216","title":"Visual Awareness, Emotion, and Gamma Band Synchronization","year":2008,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":119,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"START Clinic","funders":"National Institutes of Health","keywords":"Stimulus (psychology); Psychology; Neuroscience; Posterior cingulate; Cognitive psychology; Cognition","score_opus":0.02373937123811192,"score_gpt":0.251160897552831,"score_spread":0.22742152631471907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111700131","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963155,0.000023093047,0.0018436459,0.00020375676,0.00042880492,0.00012556178,0.0000054868005,0.00009484819,0.0009593047],"genre_scores_gemma":[0.9979475,0.000092843475,0.000018477369,0.0005154487,0.00012870097,0.000003979429,0.000015128842,0.000015515927,0.0012623635],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991274,0.000046202906,0.00014133194,0.00034179352,0.00016653624,0.00017676913],"domain_scores_gemma":[0.9996757,0.000045014007,0.000058828,0.00010957736,0.00003648038,0.0000744256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003820807,0.00011182957,0.00010505315,0.000055884342,0.00035708153,0.000042571042,0.00006686621,0.000053400785,0.00011812333],"category_scores_gemma":[0.00011245664,0.0001010326,0.000027124985,0.00021347217,0.00012142353,0.00026437617,0.000033636137,0.00008497666,0.000048465852],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000112370275,0.00024854107,0.24428563,0.00009040036,0.000010325956,0.00016111734,0.00045582955,0.00015138125,0.7166042,0.0067068106,0.0045024245,0.026671011],"study_design_scores_gemma":[0.0012528154,0.00045422828,0.82989156,0.000033202206,0.000019551017,0.00077877264,0.00004471864,0.0889022,0.07327643,0.0018617806,0.002938649,0.00054608815],"about_ca_topic_score_codex":0.00002062803,"about_ca_topic_score_gemma":0.0000073942742,"teacher_disagreement_score":0.6433277,"about_ca_system_score_codex":0.000025947487,"about_ca_system_score_gemma":0.00003847252,"threshold_uncertainty_score":0.411999},"labels":[],"label_agreement":null},{"id":"W2111893421","doi":"10.1016/j.neuron.2006.08.008","title":"A Synchronization-Desynchronization Code for Natural Communication Signals","year":2006,"lang":"en","type":"article","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":131,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Synchronization (alternating current); Neuroscience; Context (archaeology); Population; Electroencephalography; Neural activity; Computer science; Code (set theory); Biological neural network; Psychology; Biology; Medicine; Telecommunications","score_opus":0.018202712339004612,"score_gpt":0.2552731367736228,"score_spread":0.23707042443461818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111893421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8791313,0.00024063846,0.10785445,0.0042878347,0.0015417256,0.0018551128,0.0001428606,0.0006227502,0.0043233153],"genre_scores_gemma":[0.9970102,0.000031122243,0.00034615208,0.0009911335,0.00014007371,0.000051544575,0.0001331892,0.00003231522,0.0012643164],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989565,0.00010434385,0.00022333686,0.00032549258,0.00018229127,0.00020803773],"domain_scores_gemma":[0.9991438,0.000343779,0.00012927334,0.00027564008,0.00008051674,0.000027013724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008873685,0.00012487032,0.00010328077,0.00007371437,0.00031782247,0.00010585571,0.00020459325,0.00005055754,0.000028940194],"category_scores_gemma":[0.00029135158,0.00012177926,0.000054035685,0.00027703051,0.00005779997,0.0002787292,0.000039606595,0.0001064584,0.000026107507],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000524788,0.0001179511,0.00028678056,0.00003463749,0.0000016141489,0.0000020187947,0.000022736167,0.007760356,0.94930005,0.030568304,0.005386298,0.006466795],"study_design_scores_gemma":[0.0012348935,0.00026731612,0.0042959503,0.000034642897,0.000026725114,0.00002833645,0.000008027801,0.7700645,0.18017247,0.0137703465,0.029689226,0.0004075655],"about_ca_topic_score_codex":0.000017753675,"about_ca_topic_score_gemma":0.000058238104,"teacher_disagreement_score":0.76912755,"about_ca_system_score_codex":0.00006533405,"about_ca_system_score_gemma":0.000025982188,"threshold_uncertainty_score":0.4966014},"labels":[],"label_agreement":null},{"id":"W2111972926","doi":"10.1111/j.1460-9568.2005.04276.x","title":"Corticofugal feedback for auditory midbrain plasticity elicited by tones and electrical stimulation of basal forebrain in mice","year":2005,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Fondation Pour l'Audition; University of Calgary","keywords":"Inferior colliculus; Neuroscience; Basal forebrain; Auditory cortex; Forebrain; Muscimol; Midbrain; Neuroplasticity; Nucleus basalis; Stimulation; Cholinergic; Nucleus; Psychology; Biology; Central nervous system; Agonist; Receptor","score_opus":0.023288108950149503,"score_gpt":0.2551948548131753,"score_spread":0.2319067458630258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111972926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98819953,0.000018987948,0.010506857,0.0005225365,0.00043037083,0.00018296402,0.000018688712,0.000010296869,0.000109758905],"genre_scores_gemma":[0.9979674,0.000028908598,0.00058910006,0.0011240981,0.00017920091,8.5435005e-7,5.180056e-7,0.000019035604,0.00009087039],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.997982,0.0003604077,0.000654454,0.00032421568,0.00039104925,0.00028787338],"domain_scores_gemma":[0.9984786,0.00071304926,0.0005088082,0.00007899667,0.00008874941,0.00013182726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006662683,0.00014649547,0.00022294394,0.00023723266,0.00010723484,0.000060222654,0.0003088681,0.000024205303,0.0000031516856],"category_scores_gemma":[0.002907788,0.0001272567,0.00006846862,0.00047420678,0.00022757208,0.00047999053,0.000057004894,0.0002437367,0.000001477006],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022297037,0.0001247879,0.0007071719,0.000009925741,5.879812e-7,0.000019954176,0.000057130972,0.001607855,0.99263126,0.00012938066,0.00065297674,0.0038359864],"study_design_scores_gemma":[0.0026366282,0.0026452811,0.42941317,0.000074700685,0.000017954782,0.0002449138,0.000015879083,0.38818613,0.17281602,0.00018513115,0.003458697,0.00030548195],"about_ca_topic_score_codex":0.0000013071301,"about_ca_topic_score_gemma":0.0000019497318,"teacher_disagreement_score":0.8198152,"about_ca_system_score_codex":0.000038834492,"about_ca_system_score_gemma":0.000045207482,"threshold_uncertainty_score":0.51893777},"labels":[],"label_agreement":null},{"id":"W2112234964","doi":"10.3389/fnsys.2013.00025","title":"Subnetwork selection in deep cortical layers is mediated by beta-oscillation dependent firing","year":2013,"lang":"en","type":"article","venue":"Frontiers in Systems Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Ministero dello Sviluppo Economico; Ontario Ministry of Economic Development and Innovation","keywords":"Neuroscience; Subnetwork; Oscillation (cell signaling); Selection (genetic algorithm); BETA (programming language); Psychology; Computer science; Biology; Artificial intelligence; Computer network","score_opus":0.015763004522985496,"score_gpt":0.22278865462717654,"score_spread":0.20702565010419105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112234964","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97602254,0.000105106425,0.017088031,0.00035469918,0.0051165456,0.00090622454,0.000010026265,0.0001039873,0.0002928656],"genre_scores_gemma":[0.9984527,0.00008232602,0.000072747454,0.0008250549,0.000057266578,0.00009387715,0.000002712038,0.000023237855,0.0003900698],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99678963,0.00038808063,0.00057517726,0.0009106838,0.00068469695,0.00065172964],"domain_scores_gemma":[0.9992386,0.0001796405,0.00018934545,0.00019626974,0.000040704195,0.00015543315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044156617,0.00022777502,0.00029201581,0.00032887512,0.00022141039,0.00026494008,0.00036835816,0.0001327922,0.000012461689],"category_scores_gemma":[0.00053618266,0.00021866936,0.000045345827,0.0016904701,0.0001576288,0.00076263776,0.000074107884,0.00042430425,0.0000329019],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027012646,0.00009567874,0.24580716,0.000030421019,9.94975e-7,0.000019538771,0.00018946905,0.019568093,0.7260445,0.000112805734,0.006770793,0.0013335529],"study_design_scores_gemma":[0.0003970768,0.00010222159,0.05644761,0.00003586947,0.0000030633196,0.000028343517,0.00007979573,0.9368475,0.0046933545,0.000111971836,0.0009789417,0.00027423236],"about_ca_topic_score_codex":0.00025697149,"about_ca_topic_score_gemma":0.00004690367,"teacher_disagreement_score":0.9172794,"about_ca_system_score_codex":0.00027689847,"about_ca_system_score_gemma":0.00003750741,"threshold_uncertainty_score":0.8917078},"labels":[],"label_agreement":null},{"id":"W2113109635","doi":"10.3389/fnins.2014.00310","title":"A time-frequency analysis of the dynamics of cortical networks of sleep spindles from MEG-EEG recordings","year":2014,"lang":"en","type":"article","venue":"Frontiers in Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Sleep & Circadian Network; Hôpital du Sacré-Cœur de Montréal; Université de Montréal; École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Neuroscience; Sleep spindle; Electroencephalography; Neuroplasticity; Computer science; Non-rapid eye movement sleep; Psychology","score_opus":0.009012718267526585,"score_gpt":0.21298141035084195,"score_spread":0.20396869208331536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113109635","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9395311,0.000013914748,0.05801093,0.00016510722,0.0016827488,0.00016398706,0.000057904905,0.000017002149,0.00035734568],"genre_scores_gemma":[0.9988386,0.0000311042,0.0007243944,0.00027615388,0.000012700704,0.0000036806666,0.0000025813379,0.000013148893,0.00009764281],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997768,0.00030485942,0.00059299654,0.00054997404,0.00049906125,0.0002850969],"domain_scores_gemma":[0.9984726,0.00033622052,0.0004996435,0.00057390693,0.000056320132,0.000061361454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040957754,0.0001532464,0.000488372,0.00032620685,0.00009019072,0.000018098297,0.0009318914,0.00008168798,0.0000076098813],"category_scores_gemma":[0.0018806576,0.00011725295,0.00021784991,0.003132815,0.0010645125,0.00017319192,0.00018593928,0.00025515724,3.8481136e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057630463,0.00015980726,0.2087187,0.00001499995,0.000013277481,0.0000021696037,0.000090758236,0.033020888,0.75057185,0.0034591232,0.0001243036,0.0037665032],"study_design_scores_gemma":[0.00012753916,0.00010717208,0.16185108,0.00002123326,0.00008517351,7.9196104e-7,0.000016527769,0.8274047,0.009279659,0.0009987362,0.000016122212,0.00009127642],"about_ca_topic_score_codex":0.00012997072,"about_ca_topic_score_gemma":0.00005104942,"teacher_disagreement_score":0.7943838,"about_ca_system_score_codex":0.00004573927,"about_ca_system_score_gemma":0.000029390492,"threshold_uncertainty_score":0.47814366},"labels":[],"label_agreement":null},{"id":"W2113229017","doi":"10.1016/j.concog.2014.07.001","title":"Two theories of consciousness: Semantic pointer competition vs. information integration","year":2014,"lang":"en","type":"article","venue":"Consciousness and Cognition","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":99,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Consciousness; Psychology; Cognitive science; Cognitive psychology; Pointer (user interface); Semantic memory; Computer science; Artificial intelligence; Cognition; Neuroscience","score_opus":0.009305061842058288,"score_gpt":0.2284294060538902,"score_spread":0.2191243442118319,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113229017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9294065,0.000015099058,0.06139759,0.0005860708,0.00057887245,0.00033340545,0.000045393732,0.00010431431,0.0075327395],"genre_scores_gemma":[0.99852896,0.00007347228,0.000048711758,0.0011566769,0.000053743883,0.000025859394,0.00007280038,0.000008683619,0.00003107313],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99897695,0.00015209199,0.00032706716,0.00020334388,0.00019435209,0.00014616968],"domain_scores_gemma":[0.9991376,0.00027212544,0.00022408924,0.00012753492,0.00019129056,0.000047392587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024369574,0.00014276843,0.00019297095,0.00015983247,0.00019345032,0.00011754081,0.000072221366,0.000058192254,0.000051780044],"category_scores_gemma":[0.0003757357,0.00012286844,0.00004739536,0.00017802896,0.00029480012,0.0007631367,0.00003826576,0.00010565268,0.000032087562],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000242467,0.000069472175,0.0006529444,0.00011886047,0.0000067825854,0.0000011627703,0.00043118192,0.000019373192,0.16240227,0.78159225,0.00006830618,0.05439491],"study_design_scores_gemma":[0.0061168205,0.0010059142,0.0087623065,0.0006977193,0.00017692798,0.000196834,0.001424266,0.06790155,0.4455789,0.46544203,0.0018258063,0.0008709247],"about_ca_topic_score_codex":0.000028324834,"about_ca_topic_score_gemma":0.00005713673,"teacher_disagreement_score":0.31615025,"about_ca_system_score_codex":0.000012514602,"about_ca_system_score_gemma":0.000017168271,"threshold_uncertainty_score":0.50104296},"labels":[],"label_agreement":null},{"id":"W2113306412","doi":"10.1017/s0140525x13000812","title":"Demonstrations of subconscious processing with the binary exclusion task","year":2014,"lang":"en","type":"letter","venue":"Behavioral and Brain Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Subconscious; Task (project management); Priming (agriculture); Psychology; Binary number; Computer science; Cognitive psychology; Mathematics; Engineering; Arithmetic; Medicine; Biology","score_opus":0.056255012290218634,"score_gpt":0.295160940846452,"score_spread":0.23890592855623338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113306412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53889984,0.000052939475,0.000100782505,0.46009904,0.00014291808,0.00027503463,0.000020361233,0.00003661547,0.00037246264],"genre_scores_gemma":[0.83104086,0.000012574653,0.00011313679,0.16760698,0.00025483448,0.000021634292,0.000010178402,0.000013458157,0.0009263292],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981875,0.00015926085,0.0002122434,0.0005641196,0.0005885864,0.00028828703],"domain_scores_gemma":[0.99914694,0.00031739625,0.00027338025,0.00017682921,0.00004863891,0.000036806574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035087107,0.00021130987,0.0002112518,0.00013060193,0.0010160366,0.0002225506,0.0004244455,0.00016028788,0.000011637725],"category_scores_gemma":[0.000041935,0.00010769681,0.00005170183,0.000535064,0.0021254716,0.00024580306,0.00010404452,0.00047331466,0.0000023623966],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038472946,0.00015907123,0.002127851,0.00018785932,0.000003119251,0.00020316396,0.000581755,0.0000557095,0.54039747,0.00049746997,0.4140467,0.04170135],"study_design_scores_gemma":[0.0020201465,0.012035419,0.011041052,0.0015584988,0.0005788216,0.003183731,0.001217716,0.022779483,0.029084995,0.004885827,0.9076907,0.0039235977],"about_ca_topic_score_codex":0.000063500986,"about_ca_topic_score_gemma":0.000043378157,"teacher_disagreement_score":0.5113125,"about_ca_system_score_codex":0.0000101673295,"about_ca_system_score_gemma":0.00012878569,"threshold_uncertainty_score":0.7831388},"labels":[],"label_agreement":null},{"id":"W2113712772","doi":"10.1111/j.1460-9568.2010.07544.x","title":"Development of auditory‐specific brain rhythm in infants","year":2011,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; McMaster University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rhythm; Psychology; Perception; Neuroscience; Electroencephalography; Cognition; Sensory system; Audiology; Medicine","score_opus":0.07620052506322772,"score_gpt":0.25141972192371453,"score_spread":0.17521919686048681,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113712772","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911147,0.000012519416,0.0011627179,0.00009138544,0.001964336,0.00007364809,0.0000016660529,0.00001342567,0.0055656494],"genre_scores_gemma":[0.99750686,0.00003821465,0.0016224957,0.0005621673,0.00009574498,3.5314608e-7,4.761084e-8,0.000018039294,0.00015606445],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99776196,0.00038637398,0.00078422355,0.00029311373,0.0005072128,0.00026710637],"domain_scores_gemma":[0.9988919,0.000105219005,0.0006158093,0.0002003082,0.000063708794,0.00012307172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011777007,0.00013604618,0.00019295387,0.0003277507,0.00009785208,0.000031303218,0.00063209044,0.00001401038,0.000023630399],"category_scores_gemma":[0.00072078436,0.00011259612,0.000066717694,0.00063714606,0.00021794891,0.00041834937,0.0001327418,0.00028340475,0.000022892433],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006252023,0.00011074604,0.00030733846,0.0000054387347,3.4647329e-7,0.0005612534,0.00071611296,0.00002549267,0.98620725,0.00026103572,0.0002070254,0.011535464],"study_design_scores_gemma":[0.0009233749,0.00073023426,0.67925423,0.0001463078,0.0000027676344,0.0008983299,0.000069711234,0.00038888026,0.27804658,0.0001482913,0.039087467,0.00030384408],"about_ca_topic_score_codex":4.950093e-7,"about_ca_topic_score_gemma":0.0000010032134,"teacher_disagreement_score":0.70816064,"about_ca_system_score_codex":0.00002985674,"about_ca_system_score_gemma":0.00007267161,"threshold_uncertainty_score":0.45915365},"labels":[],"label_agreement":null},{"id":"W2113773025","doi":"10.1016/s1364-6613(00)01750-2","title":"Radical embodiment: neural dynamics and consciousness","year":2001,"lang":"en","type":"review","venue":"Trends in Cognitive Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1143,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Consciousness; Embodied cognition; Psychology; Cognitive science; Neural correlates of consciousness; Reciprocal; Cognition; Cognitive psychology; Neuroscience; Artificial consciousness; Biological neural network; Artificial intelligence; Computer science; Philosophy","score_opus":0.1970852114370165,"score_gpt":0.4214455944584636,"score_spread":0.2243603830214471,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113773025","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017784614,0.96799123,0.000038405313,0.00022402106,0.0011780928,0.00048682105,0.00024573618,0.00009649581,0.027960746],"genre_scores_gemma":[0.0072707306,0.99073243,0.000018266828,0.00026113345,0.00008617787,0.00005555943,0.000041300525,0.000023895169,0.0015105015],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967819,0.00041791773,0.00050360116,0.0012509619,0.0004887054,0.0005569076],"domain_scores_gemma":[0.99807566,0.001357106,0.0002709979,0.00013793353,0.000023801673,0.00013446718],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004933787,0.0004377072,0.0009292666,0.00094683445,0.00036829402,0.00024057928,0.00044200206,0.00019162978,0.000180102],"category_scores_gemma":[0.0004370412,0.00032624067,0.00017737767,0.0027682334,0.0022169678,0.0002835892,0.00021779625,0.00053775724,0.000021210097],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000503697,0.00005045801,0.000047675218,0.00019487177,0.0000033804492,0.00010398135,0.000018953808,9.1615135e-7,0.0000014678735,0.0023638566,0.000025395508,0.997184],"study_design_scores_gemma":[0.005685808,0.0038386036,0.00078537303,0.03790386,0.001971181,0.007858723,0.0009738658,0.15178455,0.000090613474,0.010937838,0.7691975,0.008972019],"about_ca_topic_score_codex":0.000024867039,"about_ca_topic_score_gemma":0.00013888409,"teacher_disagreement_score":0.988212,"about_ca_system_score_codex":0.0000963884,"about_ca_system_score_gemma":0.000098134624,"threshold_uncertainty_score":0.99991894},"labels":[],"label_agreement":null},{"id":"W2113808280","doi":"10.1073/pnas.0906194107","title":"Theta-activity in anterior cingulate cortex predicts task rules and their adjustments following errors","year":2010,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":242,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Cognition; Anterior cingulate cortex; Macaque; Sensory system; Task (project management); Stimulus (psychology); Computer science; Premovement neuronal activity; Psychology; Biological neural network; Cognitive psychology","score_opus":0.03555438618998784,"score_gpt":0.288993164084039,"score_spread":0.25343877789405117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113808280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99732184,0.000013494944,3.303382e-7,0.00095431064,0.00009519449,0.00017920433,0.000017828374,0.000010821173,0.0014069574],"genre_scores_gemma":[0.999598,0.000015671318,0.00008079489,0.00020955854,0.000024543035,0.000005740102,3.3891528e-8,0.0000037966386,0.000061817744],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987503,0.000009370761,0.00021777589,0.00030550253,0.000565767,0.00015126771],"domain_scores_gemma":[0.99948055,0.00013961477,0.00030038832,0.000009080003,0.000039658124,0.00003069244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008212345,0.0000989365,0.00015369365,0.00015451218,0.0001875418,0.000035045625,0.0004272371,0.00006241221,0.0000036876054],"category_scores_gemma":[0.00074725586,0.000058928414,0.000067152134,0.00043500203,0.00054851506,0.0006123786,0.00015388514,0.00022807502,3.983487e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012001986,0.000030063491,0.008972157,0.0000147563305,0.0000023954008,1.6563385e-8,0.00012386405,0.000006441454,0.9869269,0.0030646638,0.0000063243597,0.0008404125],"study_design_scores_gemma":[0.00016776467,0.00003954277,0.47664788,0.000055676355,0.0000041741973,0.000009731452,0.00003958783,0.009653666,0.48943707,0.023860596,0.000019326382,0.00006498816],"about_ca_topic_score_codex":0.000009000889,"about_ca_topic_score_gemma":6.0644567e-7,"teacher_disagreement_score":0.49748984,"about_ca_system_score_codex":0.00001282897,"about_ca_system_score_gemma":0.000015690255,"threshold_uncertainty_score":0.2403031},"labels":[],"label_agreement":null},{"id":"W2114305430","doi":"10.1162/0899766054615680","title":"Coding of Temporally Varying Signals in Networks of Spiking Neurons with Global Delayed Feedback","year":2005,"lang":"en","type":"article","venue":"Neural Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"RIKEN","keywords":"Feed forward; Stimulus (psychology); Artificial neural network; Negative feedback; Oscillation (cell signaling); Bifurcation; Computer science; Information processing; Coding (social sciences); Neural coding; Neuroscience; Bifurcation theory; Control theory (sociology); Physics; Artificial intelligence; Mathematics; Psychology; Nonlinear system; Biology","score_opus":0.027980520683578508,"score_gpt":0.2689148195195037,"score_spread":0.24093429883592518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114305430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9671401,0.000012229638,0.031798836,0.00023654578,0.00013194593,0.00021683447,0.000006003954,0.000035961144,0.00042157975],"genre_scores_gemma":[0.9986198,0.0000055074643,0.0010066073,0.0002981552,0.00004332847,0.0000025509423,0.0000069505954,0.000011446009,0.000005646416],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877965,0.00011633411,0.0003863297,0.00027393186,0.00025056562,0.00019316188],"domain_scores_gemma":[0.9993231,0.00019906675,0.00029646195,0.00008718063,0.000056929544,0.00003724195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011431369,0.00012509353,0.00019370196,0.0000872523,0.000056476598,0.000026033113,0.00011639009,0.00004210062,0.0000047953513],"category_scores_gemma":[0.000053533764,0.00011254809,0.000043473807,0.00059919106,0.000056345743,0.00029183808,0.00003983566,0.00013290395,0.000001062285],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019144286,0.000048046903,0.0036148024,0.00001702745,0.0000019343242,0.000008510498,0.000040049596,0.85596097,0.12150866,0.00023762396,0.000009220544,0.018361734],"study_design_scores_gemma":[0.0005653169,0.0003145095,0.019878997,0.00005508518,0.0000075771854,0.000024432296,0.000009052286,0.9694923,0.009358295,0.00018731321,0.000004151639,0.00010298135],"about_ca_topic_score_codex":0.0000484249,"about_ca_topic_score_gemma":0.000052549847,"teacher_disagreement_score":0.11353134,"about_ca_system_score_codex":0.00004478631,"about_ca_system_score_gemma":0.000021546559,"threshold_uncertainty_score":0.45895782},"labels":[],"label_agreement":null},{"id":"W2114390994","doi":"10.1016/j.neuroimage.2005.06.041","title":"Neural dynamics of error processing in medial frontal cortex","year":2005,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":149,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"National Institute of Mental Health; Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Anterior cingulate cortex; Error-related negativity; Psychology; Neuroscience; Cingulate cortex; Associative learning; Cognitive psychology; Action (physics); Reciprocal; Associative property; Computer science; Cognition; Central nervous system","score_opus":0.0316689327160076,"score_gpt":0.2807134093126907,"score_spread":0.24904447659668308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114390994","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99498767,0.00001204596,0.00012044334,0.0011838531,0.0004101046,0.00017543294,0.000026088073,0.000060153143,0.0030242288],"genre_scores_gemma":[0.99855506,0.0000067514784,0.00014895132,0.00083819765,0.00011136916,0.0000054640686,0.000007210188,0.000024570507,0.00030241944],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99866664,0.000074457486,0.00031044846,0.00039148773,0.0002814363,0.00027552925],"domain_scores_gemma":[0.99954337,0.00006824056,0.00012963149,0.00017684039,0.000022006741,0.00005991985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008398334,0.00014305358,0.00018112385,0.00013095548,0.00005929661,0.000036082296,0.00022000981,0.00005097834,0.00005248896],"category_scores_gemma":[0.00022627214,0.00013584054,0.000058785572,0.0003004956,0.00012426496,0.00038862703,0.00007379591,0.00026571198,0.000018729745],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095985626,0.00016164035,0.0024766538,0.000026866923,3.242161e-7,0.00008054372,0.00011711492,0.00045068434,0.9518196,0.00043206778,0.00009213097,0.04424636],"study_design_scores_gemma":[0.0008508751,0.00017944459,0.074575394,0.000018664277,0.0000066905086,0.000078154524,0.000029859928,0.90180695,0.02159893,0.00021219761,0.0004274363,0.00021539119],"about_ca_topic_score_codex":0.000019748693,"about_ca_topic_score_gemma":0.00033014978,"teacher_disagreement_score":0.9302207,"about_ca_system_score_codex":0.00005493785,"about_ca_system_score_gemma":0.00003148196,"threshold_uncertainty_score":0.55394167},"labels":[],"label_agreement":null},{"id":"W2114651138","doi":"10.1016/j.clinph.2010.03.042","title":"8. N complexes: An under-recognized normal EEG variant needing to be distinguished from generalized spike-waves","year":2010,"lang":"en","type":"article","venue":"Clinical Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke","funders":"National Institutes of Health","keywords":"Spike (software development); Electroencephalography; Psychology; Spike-and-wave; Neuroscience; Computer science","score_opus":0.11437487628072839,"score_gpt":0.35719280435485384,"score_spread":0.24281792807412544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114651138","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98790157,7.8606234e-7,0.000501995,0.002560051,0.007939245,0.00033474414,0.000114409406,0.00023271238,0.0004144982],"genre_scores_gemma":[0.9657875,0.000012168435,0.0017437873,0.030547386,0.001551613,0.000017558694,0.00007467436,0.000058252994,0.00020708956],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99619365,0.00072849245,0.00088901824,0.0013740321,0.00022234033,0.00059245044],"domain_scores_gemma":[0.9959642,0.002459311,0.00025615518,0.00074191904,0.00008673819,0.0004916292],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025027542,0.0003322344,0.0006572501,0.00009325862,0.00033374265,0.00011719916,0.00069000275,0.0002443123,0.0004326048],"category_scores_gemma":[0.0052563143,0.00028403255,0.00023809464,0.00031827335,0.00041627165,0.0001784479,0.0004111939,0.00096725766,0.00022078822],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043658915,0.0002947271,0.00015631596,0.000003211268,0.000006585058,0.00008459227,0.000029643395,0.00011596222,0.9926992,0.0035602206,0.00034839477,0.002264545],"study_design_scores_gemma":[0.011345533,0.0104164425,0.6334711,0.00004586941,0.00023150026,0.00021532347,0.00011383608,0.14730817,0.08947754,0.061100755,0.043055777,0.0032181626],"about_ca_topic_score_codex":0.00016854599,"about_ca_topic_score_gemma":0.000092691254,"teacher_disagreement_score":0.90322167,"about_ca_system_score_codex":0.000010197464,"about_ca_system_score_gemma":0.000046808498,"threshold_uncertainty_score":0.9999612},"labels":[],"label_agreement":null},{"id":"W2115098865","doi":"10.1016/j.heares.2013.06.009","title":"Brain dynamics encode the spectrotemporal boundaries of auditory objects","year":2013,"lang":"en","type":"article","venue":"Hearing Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tonotopy; Perception; Classification of discontinuities; Sound energy; Auditory cortex; Event-related potential; Auditory perception; Contrast (vision); Neuroscience; Electroencephalography; Communication; Psychology; Computer science; Physics; Acoustics; Mathematics; Artificial intelligence","score_opus":0.08968548957450838,"score_gpt":0.3489411870495587,"score_spread":0.2592556974750503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115098865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9769386,0.000019187562,0.00010640112,0.00845367,0.00053460366,0.0004893532,0.0000054180427,0.000047629816,0.013405148],"genre_scores_gemma":[0.9941553,0.00001239901,0.000053507923,0.00023587153,0.00019522129,0.000039285536,0.0000016828827,0.00001788959,0.0052888477],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99784994,0.0003783991,0.00019203855,0.0003098049,0.00078426476,0.00048554473],"domain_scores_gemma":[0.9981728,0.001159811,0.00005032671,0.00040915923,0.00013303828,0.00007487073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010367136,0.00009227369,0.000121104626,0.00014703844,0.0007681421,0.00036671624,0.0003876822,0.000057394886,0.00014137583],"category_scores_gemma":[0.0017789947,0.00006395763,0.00005495501,0.00051605626,0.0009316894,0.0002115455,0.0002689389,0.000628785,0.00018025697],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004644357,0.000089167974,0.002268828,0.00007747673,0.0000056302497,0.00001506992,0.0006176058,0.000068313304,0.9144874,0.059468143,0.01790797,0.004947921],"study_design_scores_gemma":[0.0012166906,0.0017250908,0.14041509,0.00021905072,0.000009068374,0.00014021431,0.0020653745,0.26538172,0.36671418,0.18549125,0.03581832,0.00080395315],"about_ca_topic_score_codex":0.0014180015,"about_ca_topic_score_gemma":0.00026807917,"teacher_disagreement_score":0.54777324,"about_ca_system_score_codex":0.00013107204,"about_ca_system_score_gemma":0.00019342822,"threshold_uncertainty_score":0.5908006},"labels":[],"label_agreement":null},{"id":"W2115265203","doi":"10.1016/j.neuroimage.2013.02.007","title":"Rhythmic neuronal synchronization in visual cortex entails spatial phase relation diversity that is modulated by stimulation and attention","year":2013,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Institute of Mental Health; National Institutes of Health; National Eye Institute; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Ministerie van Onderwijs, Cultuur en Wetenschap; Volkswagen Foundation; European Science Foundation; Ministry of Economic Affairs; European Commission","keywords":"Local field potential; Stimulus (psychology); Rhythm; Neuroscience; Visual cortex; Phase synchronization; Stimulation; Phase (matter); Synchronization (alternating current); Psychology; Communication; Computer science; Physics; Cognitive psychology; Telecommunications","score_opus":0.019997232457527745,"score_gpt":0.25879860436580204,"score_spread":0.2388013719082743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115265203","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906566,0.0000050673,0.00785945,0.00038951816,0.00030492613,0.00061198534,0.000028289449,0.000079260026,0.000064916385],"genre_scores_gemma":[0.9989263,0.000030198386,0.000011590249,0.0006792681,0.000034966524,0.000009039575,0.00010097655,0.000019997036,0.00018765706],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984907,0.00016866392,0.00022676888,0.0005590213,0.00033361235,0.0002212271],"domain_scores_gemma":[0.9995153,0.000091913564,0.00015132192,0.00012964432,0.00003976723,0.000072051604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007395285,0.00016739426,0.00012948357,0.00014533552,0.00027141362,0.0001302244,0.00007371185,0.000080715006,0.00017882156],"category_scores_gemma":[0.00009807669,0.00017871028,0.00003582743,0.00026121602,0.000066690554,0.0010866647,0.0001409928,0.00018888497,0.000056582547],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061371094,0.0001570362,0.035323504,0.000011175801,0.0000014361713,0.000010894479,0.00005927178,0.00024921494,0.949111,0.000015741829,0.00023710086,0.014762249],"study_design_scores_gemma":[0.001108409,0.00017670612,0.48867851,0.000007003027,0.000008636075,0.000009355425,0.000003955447,0.5020146,0.0077105253,0.00015469734,0.000016426204,0.000111215246],"about_ca_topic_score_codex":0.00027199334,"about_ca_topic_score_gemma":0.000011430253,"teacher_disagreement_score":0.94140047,"about_ca_system_score_codex":0.000065383865,"about_ca_system_score_gemma":0.000009536877,"threshold_uncertainty_score":0.7287594},"labels":[],"label_agreement":null},{"id":"W2115345489","doi":"10.1016/j.neubiorev.2012.12.004","title":"What the brain's intrinsic activity can tell us about consciousness? A tri-dimensional view","year":2012,"lang":"en","type":"review","venue":"Neuroscience & Biobehavioral Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":122,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Mental Health Research Canada; Royal Ottawa Mental Health Centre","funders":"Canadian Institutes of Health Research; Francis Crick Institute","keywords":"Consciousness; Psychology; Neural correlates of consciousness; Neuroscience; Brain activity and meditation; Cognitive science; Cognitive psychology; Association (psychology); Dimension (graph theory); Cognition; Electroencephalography; Mathematics","score_opus":0.16996424387108433,"score_gpt":0.37705507898656526,"score_spread":0.20709083511548093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115345489","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031616972,0.98030555,0.0000063831076,0.00015650324,0.01100367,0.0050099646,0.0001302845,0.00016539979,0.00006055669],"genre_scores_gemma":[0.0011203563,0.9889361,0.000011753483,0.007589203,0.00045522302,0.0006939525,0.000021937858,0.00012796652,0.0010434757],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9912535,0.0017614828,0.0016082942,0.0023706667,0.0014085554,0.0015974899],"domain_scores_gemma":[0.9952106,0.00014022128,0.0018910458,0.0020428153,0.00009564748,0.0006196902],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0020235304,0.0014902751,0.0031575433,0.00036589438,0.0012179079,0.0012788476,0.0023803152,0.0004670423,0.00018038791],"category_scores_gemma":[0.001156558,0.00086433743,0.0015495558,0.0027862566,0.0015232228,0.0015910888,0.0008971176,0.001986157,0.00055995834],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008525848,0.00023867788,0.000013841507,0.001306305,1.8173706e-7,0.00004734561,0.00001751855,3.390442e-7,0.002771887,0.000089506844,0.0010032231,0.99450266],"study_design_scores_gemma":[0.00014712986,0.000204944,0.00016068964,0.0039365008,0.00052892603,0.000705403,0.0000022740173,0.000018895336,0.000052782318,0.00001277054,0.99332315,0.0009065663],"about_ca_topic_score_codex":0.00006343243,"about_ca_topic_score_gemma":0.000059353442,"teacher_disagreement_score":0.9935961,"about_ca_system_score_codex":0.000329162,"about_ca_system_score_gemma":0.00059872796,"threshold_uncertainty_score":0.99978465},"labels":[],"label_agreement":null},{"id":"W2116096753","doi":"10.1017/s0140525x01443925","title":"Where the magic breaks down: Boundaries and the “focus-of-attention” in schizophrenia","year":2001,"lang":"en","type":"article","venue":"Behavioral and Brain Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Child, Adolescent and Family Mental Health","funders":"","keywords":"Schizophrenia (object-oriented programming); Cognitive psychology; Psychology; MAGIC (telescope); Cognition; Focus (optics); Cognitive science; Neuroscience; Psychiatry; Physics","score_opus":0.03393786492015141,"score_gpt":0.287593975488514,"score_spread":0.25365611056836257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116096753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97930384,0.00038706363,0.000012274849,0.019328084,0.00019675391,0.0001999127,0.000005821226,0.000013290585,0.0005529436],"genre_scores_gemma":[0.99867123,0.00020313119,0.000027341865,0.00046048447,0.00002816142,0.000009415531,3.0733267e-7,0.0000031083457,0.0005968126],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9988839,0.00015419615,0.00018827933,0.00030230242,0.00027481947,0.00019652663],"domain_scores_gemma":[0.9994778,0.00027002516,0.00008357417,0.00011873428,0.000016627606,0.000033225017],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00069438585,0.00010239763,0.00012575608,0.00006435616,0.0007584963,0.00046226292,0.00025563856,0.000031874115,0.000026892949],"category_scores_gemma":[0.00008229374,0.000047203856,0.00003614957,0.0005324362,0.004066846,0.00030346683,0.00011500736,0.00012909221,0.000002774768],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008211208,0.00033302483,0.18675044,0.00003936317,0.000004184778,0.00006127704,0.0028970893,0.000021314558,0.2525751,0.24931218,0.0013622665,0.30582264],"study_design_scores_gemma":[0.0068605966,0.0011780878,0.84176636,0.00021387503,0.00007627989,0.0010052318,0.003797512,0.008320514,0.0049107657,0.10455614,0.02642672,0.0008879401],"about_ca_topic_score_codex":0.00065030786,"about_ca_topic_score_gemma":0.0010126531,"teacher_disagreement_score":0.6550159,"about_ca_system_score_codex":0.0000053336694,"about_ca_system_score_gemma":0.000036647318,"threshold_uncertainty_score":0.9986435},"labels":[],"label_agreement":null},{"id":"W2116888010","doi":"10.1523/jneurosci.21-10-03628.2001","title":"Bidirectional Dopamine Modulation of GABAergic Inhibition in Prefrontal Cortical Pyramidal Neurons","year":2001,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":516,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Deutsche Forschungsgemeinschaft; Howard Hughes Medical Institute","keywords":"Prefrontal cortex; Neuroscience; GABAergic; Dopamine; Agonist; Inhibitory postsynaptic potential; Dopamine receptor D2; Chemistry; Postsynaptic potential; Dopamine receptor; Receptor; Biology; Cognition; Biochemistry","score_opus":0.03449300806895788,"score_gpt":0.2686166936801517,"score_spread":0.2341236856111938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116888010","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99648577,0.0000065871204,0.0014823916,0.00044026345,0.0011641895,0.00009888029,0.000005068318,0.000012202286,0.00030465118],"genre_scores_gemma":[0.99931794,0.000075036536,0.00005750233,0.00029542038,0.00009933478,0.0000011128546,4.266312e-7,0.000009280728,0.00014396274],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9981213,0.00015524524,0.0005933204,0.00026246085,0.00064394646,0.0002237308],"domain_scores_gemma":[0.9991211,0.00017713093,0.0004101333,0.00011220904,0.00008144701,0.00009793374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003124063,0.0001141802,0.00019048271,0.00035165343,0.00009426773,0.000038697995,0.0001466976,0.000043023545,0.00001591542],"category_scores_gemma":[0.00095736934,0.00009835034,0.000092876195,0.0007960744,0.00023323753,0.0007087555,0.000050613296,0.00033924848,0.0000023988798],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012593438,0.00022932765,0.003566678,0.0000045135425,2.6887366e-7,0.00022698172,0.000016222095,0.007101223,0.9874364,0.00041852574,0.000016991555,0.0008569076],"study_design_scores_gemma":[0.0008202807,0.0009771762,0.77295095,0.000046916794,0.00000714723,0.0031437827,0.000013687184,0.11729408,0.103476614,0.00076474366,0.0003587879,0.0001458637],"about_ca_topic_score_codex":0.0000071564064,"about_ca_topic_score_gemma":0.00001219709,"teacher_disagreement_score":0.88395983,"about_ca_system_score_codex":0.00006193641,"about_ca_system_score_gemma":0.000083201274,"threshold_uncertainty_score":0.40106106},"labels":[],"label_agreement":null},{"id":"W2116994934","doi":"10.1046/j.1460-9568.2001.02090.x","title":"Comparative cytoarchitectonic analysis of the human and the macaque ventrolateral prefrontal cortex and corticocortical connection patterns in the monkey","year":2002,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":894,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Macaque; Neuroscience; Prefrontal cortex; Ventrolateral prefrontal cortex; Cytoarchitecture; Human brain; Functional specialization; Anatomy; Superior temporal sulcus; Parahippocampal gyrus; Temporal cortex; Psychology; Biology; Temporal lobe; Functional magnetic resonance imaging","score_opus":0.04139005962691725,"score_gpt":0.2630050911652383,"score_spread":0.22161503153832104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116994934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99830693,0.000021343447,0.00016316025,0.0009182147,0.00019093233,0.00017546782,0.0000062337663,0.000003295789,0.00021440884],"genre_scores_gemma":[0.99899375,0.000057600948,0.000002861774,0.0008817394,0.000025202335,0.00000102303,9.674726e-8,0.000005308325,0.000032412692],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99735886,0.0014450744,0.00043542913,0.0002200219,0.00037496418,0.00016562875],"domain_scores_gemma":[0.9989919,0.0003396754,0.00040470477,0.00018892027,0.000027534348,0.000047258935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054230756,0.00010833331,0.00023332456,0.00013033631,0.00028212907,0.00011980411,0.000456549,0.000009546262,0.000008623203],"category_scores_gemma":[0.00024666,0.000049876697,0.00010985878,0.0006275025,0.0008338452,0.0001581237,0.00011101428,0.00038104004,4.6544386e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000110781846,0.00012722315,0.016630046,0.000005808624,0.000013425861,0.00010662356,0.0027918855,0.0012594018,0.9769045,0.0011758656,0.0000075687417,0.00086682744],"study_design_scores_gemma":[0.00070844294,0.0003055787,0.9030234,0.000015465972,0.00008934685,0.0003548816,0.000095580435,0.094365284,0.00091475964,0.000043895267,0.0000303182,0.0000530229],"about_ca_topic_score_codex":0.000010027061,"about_ca_topic_score_gemma":0.000020733907,"teacher_disagreement_score":0.97598976,"about_ca_system_score_codex":0.000012355913,"about_ca_system_score_gemma":0.000006085112,"threshold_uncertainty_score":0.30723372},"labels":[],"label_agreement":null},{"id":"W2117501939","doi":"10.1207/s15516709cog2802_1","title":"A picture is worth thousands of trials: rendering the use of visual information from spiking neurons to recognition","year":2004,"lang":"en","type":"article","venue":"Cognitive Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Citation; Library science; Psychology; Art history; Computer science; Media studies; Art; Sociology","score_opus":0.17333423309271734,"score_gpt":0.3384848019249274,"score_spread":0.16515056883221008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117501939","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9751794,0.0000037023415,0.023366295,0.00029437587,0.00035729475,0.00039336717,0.00018387505,0.000023455781,0.00019823402],"genre_scores_gemma":[0.9976851,0.00001868615,0.00034535397,0.0018840219,0.00003789242,0.000011574219,0.000006669317,0.000005084271,0.000005627773],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985019,0.00011010223,0.00040457596,0.00027663945,0.000512568,0.00019423546],"domain_scores_gemma":[0.9983592,0.00081988954,0.0003593919,0.00013539419,0.00026246105,0.00006363226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062751083,0.000108119246,0.00018173235,0.00021119924,0.00024963863,0.00013401776,0.00021500439,0.00003192975,0.000021490825],"category_scores_gemma":[0.008253255,0.00007492296,0.00007000699,0.001246053,0.0003668575,0.0013273747,0.00012275009,0.00013275654,0.000012917402],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017496519,0.000055781027,0.00033623006,0.000010316246,0.0000035461132,0.0000016303636,0.002743581,0.00056697277,0.87411565,0.00021566126,0.000015376876,0.12176032],"study_design_scores_gemma":[0.00064333517,0.00038233722,0.01773753,0.00024007917,0.000034301036,0.0000066376224,0.0005539194,0.0039833193,0.97385687,0.0022256365,0.00017348945,0.00016253217],"about_ca_topic_score_codex":0.000063671745,"about_ca_topic_score_gemma":0.000013059377,"teacher_disagreement_score":0.12159779,"about_ca_system_score_codex":0.000030398742,"about_ca_system_score_gemma":0.000110619636,"threshold_uncertainty_score":0.98805135},"labels":[],"label_agreement":null},{"id":"W2117829171","doi":"10.1023/a:1014921628797","title":"Ghostbursting: A Novel Neuronal Burst Mechanism","year":2002,"lang":"en","type":"article","venue":"Journal of Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":138,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Mechanism (biology); Neuroscience; Theory of computation; Cognitive science; Computer science; Psychology; Epistemology; Philosophy; Algorithm","score_opus":0.06232537740556444,"score_gpt":0.26540134423372225,"score_spread":0.20307596682815782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117829171","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8836425,0.0000152022985,0.10699829,0.004996186,0.003178519,0.00013416307,0.00001658075,0.00004742214,0.0009711133],"genre_scores_gemma":[0.9922408,0.000018749588,0.001645672,0.005624544,0.00019977985,0.0000011059631,2.773087e-7,0.000015448977,0.00025365158],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99766755,0.00007849047,0.00050439854,0.0003331338,0.0011327419,0.00028365932],"domain_scores_gemma":[0.9984941,0.00048545416,0.00053229416,0.00011467149,0.00018954116,0.00018393635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025800272,0.00015978309,0.00018843169,0.00026252624,0.0002940014,0.00016874942,0.0005309369,0.000034953897,0.00008255149],"category_scores_gemma":[0.0012359773,0.00013717108,0.00013609783,0.00066857337,0.00024299664,0.00063600147,0.0000811288,0.0003409955,0.000024548033],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003069754,0.00037721524,0.00006637331,0.000007679455,0.0000014686067,0.00013284109,0.000063227715,0.0937761,0.80656266,0.09634635,0.000675873,0.0019595092],"study_design_scores_gemma":[0.0009977375,0.00096823485,0.006068847,0.000035944475,0.000014113625,0.0039201486,0.000009920223,0.9338664,0.015202608,0.03503376,0.0035890555,0.00029327447],"about_ca_topic_score_codex":5.6805004e-7,"about_ca_topic_score_gemma":7.847432e-8,"teacher_disagreement_score":0.8400903,"about_ca_system_score_codex":0.000036840705,"about_ca_system_score_gemma":0.000052521118,"threshold_uncertainty_score":0.5593675},"labels":[],"label_agreement":null},{"id":"W2118125647","doi":"10.1146/annurev.neuro.051508.135409","title":"Neural Mechanisms for Interacting with a World Full of Action Choices","year":2010,"lang":"en","type":"review","venue":"Annual Review of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1578,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Neurophysiology; Perception; Ethology; Cognitive science; Neuroscience; Cognition; Action (physics); Psychology; Perspective (graphical); Information processing; Computer science; Cognitive psychology; Artificial intelligence; Biology","score_opus":0.08993823903015383,"score_gpt":0.38671142537775277,"score_spread":0.29677318634759897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118125647","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000639123,0.9915418,0.0009882259,0.00014935694,0.003358715,0.003051817,0.00038283027,0.00006297648,0.00040037988],"genre_scores_gemma":[0.00023067939,0.99781084,0.00035824667,0.0008425095,0.0000845383,0.0001605701,0.00000884788,0.000051863168,0.00045191782],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965117,0.00024648188,0.0010749779,0.0009741279,0.0007910541,0.00040166485],"domain_scores_gemma":[0.9952892,0.0014364807,0.0022797342,0.00058157364,0.00030022854,0.00011279708],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007263916,0.00046727335,0.0016394367,0.00033577185,0.0001563063,0.00004968555,0.00097051205,0.000099752026,0.000011824456],"category_scores_gemma":[0.0045404234,0.00031097044,0.00054737355,0.0015992906,0.0002859571,0.00065755274,0.00017487774,0.0006341696,0.0000036056442],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023884631,0.00008376119,1.4205948e-7,0.08323755,0.000002494023,0.000005839364,0.000009159457,0.0000014638306,0.031168912,0.001182668,0.00011169552,0.88417244],"study_design_scores_gemma":[0.00009260448,0.0007862366,0.0000013627954,0.05560141,0.00023414526,0.00021019735,0.000004390128,0.00029950056,0.0013252039,0.000048746955,0.9410838,0.00031239144],"about_ca_topic_score_codex":0.000006115956,"about_ca_topic_score_gemma":0.000021896483,"teacher_disagreement_score":0.9409721,"about_ca_system_score_codex":0.00003377647,"about_ca_system_score_gemma":0.00021354298,"threshold_uncertainty_score":0.99993426},"labels":[],"label_agreement":null},{"id":"W2118319491","doi":"10.1016/j.biosystems.2007.11.002","title":"Effect of synaptic plasticity on sensory coding and steady-state filtering properties in the electric sense","year":2007,"lang":"en","type":"article","venue":"Biosystems","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Sensory system; Sense (electronics); Plasticity; Coding (social sciences); Neuroscience; Biological system; Computer science; Synaptic plasticity; Biology; Mathematics; Physics; Chemistry; Statistics; Thermodynamics","score_opus":0.028938696212325508,"score_gpt":0.24245464526146315,"score_spread":0.21351594904913765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118319491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991197,0.00001833355,0.000052728232,0.000027481059,0.00019014115,0.00035362123,0.0000036180134,0.00002187636,0.00021251627],"genre_scores_gemma":[0.9998279,0.000009977862,8.2659983e-7,0.00007292027,0.000029201357,0.000004577762,1.4604663e-7,0.000007551386,0.000046897345],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99899566,0.00026367593,0.00018859978,0.00018970702,0.00017272134,0.00018963176],"domain_scores_gemma":[0.99885756,0.0009429505,0.00007725192,0.000091368645,0.000008720486,0.0000221323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071460503,0.0000986521,0.00013955917,0.00011086771,0.00006916219,0.0000304478,0.000058499772,0.00002962545,3.9820054e-7],"category_scores_gemma":[0.00033434475,0.00005662986,0.00002249324,0.00019661116,0.00003265202,0.000043801767,0.000017872162,0.00011105622,0.0000035143196],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018250446,0.000015232869,0.0003184333,0.00019697481,0.0000019239185,0.00004720815,0.0001864513,0.00006509362,0.9977948,0.00009911583,0.0000031209865,0.0010891211],"study_design_scores_gemma":[0.00031362532,0.000994585,0.0024268676,0.0001840058,0.000006361913,0.00013995127,0.000056604968,0.033607807,0.96212953,0.0000047068906,0.000035769768,0.00010018428],"about_ca_topic_score_codex":0.00003480639,"about_ca_topic_score_gemma":0.000015875607,"teacher_disagreement_score":0.03566529,"about_ca_system_score_codex":0.000026604472,"about_ca_system_score_gemma":0.000004430234,"threshold_uncertainty_score":0.23092985},"labels":[],"label_agreement":null},{"id":"W2118354429","doi":"10.1016/s0896-6273(04)00071-6","title":"Plastic and Nonplastic Pyramidal Cells Perform Unique Roles in a Network Capable of Adaptive Redundancy Reduction","year":2004,"lang":"en","type":"article","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":140,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"National Institutes of Health; University of Ottawa","keywords":"Redundancy (engineering); Pyramidal cell; Hebbian theory; Reduction (mathematics); Neuroscience; Artificial neural network; Biological system; Computer science; Biology; Artificial intelligence; Mathematics; Hippocampus; Geometry","score_opus":0.012939345912532034,"score_gpt":0.20739316835288393,"score_spread":0.1944538224403519,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118354429","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99827015,0.000017928483,0.00024647295,0.00008960895,0.0007205484,0.00020283493,0.000005899062,0.000032156244,0.00041441407],"genre_scores_gemma":[0.99956125,0.00007923851,0.00010176514,0.00005723535,0.000087303284,0.000009458616,0.0000011718818,0.000017992068,0.00008459641],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989639,0.00005810447,0.00021431569,0.0003564519,0.00015574167,0.00025150075],"domain_scores_gemma":[0.9995444,0.00015880061,0.00010104391,0.00012240566,0.000019130197,0.000054244876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007571609,0.00013275603,0.00015597294,0.00009784295,0.00008622118,0.000023080058,0.00007990672,0.000061992716,0.000008051261],"category_scores_gemma":[0.000110231,0.00012717834,0.00002770183,0.00031438825,0.00012601353,0.00018802604,0.000044090782,0.00023054727,0.0000060116354],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022854371,0.00008649587,0.00021997788,0.00002860427,0.0000011941254,0.000021097721,0.0001358887,0.102686405,0.891908,0.003603867,0.000022828532,0.0010571281],"study_design_scores_gemma":[0.0029326188,0.0035209616,0.045854993,0.0004499408,0.00004301211,0.00028242846,0.0001566532,0.13728714,0.79549617,0.013062043,0.00026199935,0.0006520246],"about_ca_topic_score_codex":0.000084153806,"about_ca_topic_score_gemma":0.000083656545,"teacher_disagreement_score":0.09641178,"about_ca_system_score_codex":0.00005560833,"about_ca_system_score_gemma":0.000046013185,"threshold_uncertainty_score":0.5186182},"labels":[],"label_agreement":null},{"id":"W2118529247","doi":"10.1002/sim.5923","title":"Multiscale analysis of neural spike trains","year":2013,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Spike train; Spike (software development); Computer science; Train; Point process; Neural coding; Artificial intelligence; Algorithm; Pattern recognition (psychology); Statistics; Mathematics","score_opus":0.03014703907680518,"score_gpt":0.309619638389451,"score_spread":0.27947259931264584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118529247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9634596,0.000016570866,0.031975128,0.0010600089,0.00052470865,0.0002779088,0.00020639035,0.000023702683,0.0024559505],"genre_scores_gemma":[0.9972933,0.000028652496,0.0013687348,0.0006455165,0.000036367404,0.000009450514,0.000030699517,0.000007543669,0.0005797453],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99895346,0.00006529457,0.0003274544,0.00021857214,0.00026712046,0.00016812296],"domain_scores_gemma":[0.9990844,0.0005393031,0.0001010981,0.00017065198,0.00004501958,0.000059501093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012869801,0.00008872002,0.00028078048,0.00032567195,0.000027851342,0.0000063852876,0.00012285482,0.00002899614,0.0007860546],"category_scores_gemma":[0.0010720908,0.000067213674,0.000028582863,0.00090858166,0.00022549595,0.00005326855,0.000022548753,0.00012609716,0.000013837337],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041339947,0.00025036378,0.027031804,0.0000857712,0.00007539711,0.000102348466,0.0015095209,0.0038001281,0.8156445,0.055420235,0.009509568,0.086528994],"study_design_scores_gemma":[0.0005982105,0.0002316549,0.25988573,0.000016666818,0.00013874269,0.0000029216994,0.00009477094,0.7319934,0.0013310227,0.0053967102,0.00020077867,0.00010941268],"about_ca_topic_score_codex":0.00039503232,"about_ca_topic_score_gemma":0.00026774767,"teacher_disagreement_score":0.81431353,"about_ca_system_score_codex":0.000018174534,"about_ca_system_score_gemma":0.0000070739948,"threshold_uncertainty_score":0.8606746},"labels":[],"label_agreement":null},{"id":"W2118790017","doi":"10.1152/jn.00273.2003","title":"Focused Attention Modulates Visual Responses in the Primate Prefrontal Cortex","year":2004,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Prefrontal cortex; Neuroscience; Cued speech; Psychology; Stimulus (psychology); Primate; Premovement neuronal activity; Visual cortex; Photic Stimulation; Cognitive psychology; Visual perception; Cognition; Perception","score_opus":0.02487566039415882,"score_gpt":0.2854731041499594,"score_spread":0.2605974437558006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118790017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981311,0.000005458075,0.0000679841,0.0010517949,0.0005849252,0.00010550913,0.0000021209269,0.000008714977,0.000042392283],"genre_scores_gemma":[0.9985825,0.00005533011,0.00003677416,0.0011524631,0.00012353978,0.0000017490211,5.593588e-7,0.000010443338,0.000036661902],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99876314,0.00035142043,0.00033933518,0.00016943987,0.00019558432,0.00018110362],"domain_scores_gemma":[0.9993304,0.00022308988,0.00026914777,0.00011116449,0.00003612836,0.00003009566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000091836126,0.00010167003,0.00017339134,0.00013429215,0.00008070328,0.000030157467,0.0002468735,0.00004154156,0.0000055664104],"category_scores_gemma":[0.0003014003,0.0000626649,0.00010252003,0.00019258594,0.00009202782,0.0001942078,0.000037292008,0.00030326925,0.000014150391],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005282557,0.00015573848,0.00007419979,0.000003966893,0.0000019435963,0.00025771573,0.000055443634,0.0015679043,0.9962698,0.0003856188,0.000004921543,0.000694483],"study_design_scores_gemma":[0.0016388654,0.0034538289,0.9558142,0.000025629806,0.0000145578,0.0010784285,0.00003525934,0.002910701,0.027313223,0.007397119,0.00018723478,0.0001309434],"about_ca_topic_score_codex":0.0000056032586,"about_ca_topic_score_gemma":0.0000016059055,"teacher_disagreement_score":0.9689566,"about_ca_system_score_codex":0.00003510771,"about_ca_system_score_gemma":0.00003810066,"threshold_uncertainty_score":0.25554004},"labels":[],"label_agreement":null},{"id":"W2119376665","doi":"10.1111/j.1460-9568.2008.06265.x","title":"Spectro‐temporal sound density‐dependent long‐term adaptation in cat primary auditory cortex","year":2008,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Auditory cortex; Habituation; Stimulus (psychology); Neuroscience; Sensory system; Psychology; Stimulation; Sensory stimulation therapy; Audiology; Cognitive psychology; Medicine","score_opus":0.04817865841977165,"score_gpt":0.243172625039143,"score_spread":0.19499396661937135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119376665","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906552,0.00001974738,0.0045906063,0.00021962333,0.0032112075,0.00012932459,0.0000029744722,0.000028927583,0.0011424302],"genre_scores_gemma":[0.99712294,0.00015113638,0.00015880728,0.0015604619,0.0003779424,4.7012492e-7,7.427534e-7,0.000029111592,0.00059840316],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9969264,0.00066335144,0.00065970636,0.00047613154,0.00089492265,0.0003794522],"domain_scores_gemma":[0.9987062,0.00012579036,0.00062526215,0.00025694908,0.00008689923,0.0001988838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075599115,0.00020439066,0.00024678247,0.00033896542,0.00029342266,0.00010568984,0.00065524556,0.000022155758,0.00001040346],"category_scores_gemma":[0.0004990729,0.00018063781,0.00011563163,0.0005301542,0.0003576613,0.00081501616,0.0001364981,0.000445397,0.00004277019],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010621446,0.0001509343,0.008547979,0.0000084860485,6.6810884e-7,0.008331492,0.0002680176,0.00070587674,0.98070145,0.00004150556,0.00013185758,0.0010055508],"study_design_scores_gemma":[0.0006872143,0.0006794862,0.9858586,0.00003312187,0.0000060563584,0.005618866,0.000016240303,0.0014007118,0.005152259,0.00007370393,0.00026830783,0.00020543978],"about_ca_topic_score_codex":0.0000037502903,"about_ca_topic_score_gemma":0.000009943872,"teacher_disagreement_score":0.9773106,"about_ca_system_score_codex":0.00015113021,"about_ca_system_score_gemma":0.00016106635,"threshold_uncertainty_score":0.7366196},"labels":[],"label_agreement":null},{"id":"W2119760294","doi":"10.1152/jn.00729.2002","title":"Persistent Na<sup>+</sup>Current Modifies Burst Discharge By Regulating Conditional Backpropagation of Dendritic Spikes","year":2003,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Ottawa","funders":"","keywords":"Bursting; Tonic (physiology); Dendritic spike; Electric fish; Depolarization; Neuroscience; Soma; Chemistry; Long-term potentiation; Physics; Biophysics; Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Biology","score_opus":0.029762936235739623,"score_gpt":0.2560947066266812,"score_spread":0.2263317703909416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119760294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99821216,0.00005977183,0.00055080664,0.00026248908,0.00066371355,0.000098081015,0.00003966176,0.000008275066,0.00010504269],"genre_scores_gemma":[0.99937475,0.00009257634,0.00006262359,0.00021949488,0.000118833144,0.0000023574369,0.0000087648,0.000015831485,0.00010475467],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983178,0.00035013413,0.00055241125,0.00023919038,0.00031891424,0.00022156985],"domain_scores_gemma":[0.9988073,0.0002910342,0.0005282044,0.00012893263,0.00016289763,0.00008163458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007579731,0.00015174781,0.00029683765,0.00012951915,0.00011612346,0.000022843367,0.00016706229,0.00004835209,0.00005327947],"category_scores_gemma":[0.0006636925,0.00012268711,0.00022739734,0.00016833394,0.00019454959,0.00023488012,0.000029396208,0.00030204034,0.0000086584505],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006613292,0.00015627281,0.00005403627,0.000041966578,0.0000069809607,0.000009632505,0.000044240252,0.014932219,0.98029506,0.0038137625,0.00021245825,0.0003672572],"study_design_scores_gemma":[0.0063980003,0.011353871,0.015326879,0.0005990847,0.00035631453,0.0037745659,0.0008114709,0.27710244,0.64555514,0.028588139,0.008636328,0.0014977589],"about_ca_topic_score_codex":0.0000011158933,"about_ca_topic_score_gemma":5.4354558e-8,"teacher_disagreement_score":0.3347399,"about_ca_system_score_codex":0.00003560839,"about_ca_system_score_gemma":0.000044950506,"threshold_uncertainty_score":0.5003035},"labels":[],"label_agreement":null},{"id":"W2119976941","doi":"10.1523/jneurosci.3355-13.2013","title":"Internal and External Influences on the Rate of Sensory Evidence Accumulation in the Human Brain","year":2013,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":492,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Sensory system; Coherence (philosophical gambling strategy); Perception; Psychology; Cognitive psychology; Motion perception; Computer science; Contrast (vision); SIGNAL (programming language); Noise (video); Neuroscience; Speech recognition; Artificial intelligence; Mathematics; Statistics","score_opus":0.13706502655212002,"score_gpt":0.3541244751512645,"score_spread":0.21705944859914447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119976941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99288654,0.000015671483,0.000109640954,0.0064765974,0.00028988637,0.00015077433,7.110791e-7,0.0000027773515,0.00006741909],"genre_scores_gemma":[0.9926509,0.000052224612,0.000010956848,0.007149922,0.000052304855,0.000002343139,8.428642e-9,0.0000037366872,0.0000775601],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9982734,0.00054169603,0.00039709406,0.00018178113,0.0004546203,0.00015146116],"domain_scores_gemma":[0.99725246,0.0019944124,0.0004867791,0.0001599866,0.000066317814,0.000040034432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012511456,0.00009321721,0.00011556337,0.00013410271,0.0001665216,0.00019340804,0.00063032546,0.000020874639,0.000009710335],"category_scores_gemma":[0.003165823,0.000045831548,0.00004928061,0.00033737795,0.00033908398,0.00083515584,0.00006196062,0.00034324997,0.0000023469213],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017131399,0.000026918302,0.0055681258,0.000004088276,2.0152123e-7,0.000016819877,0.0002158099,0.0004674018,0.9916335,0.0012008424,0.000072873256,0.0007762941],"study_design_scores_gemma":[0.00016743352,0.0006196797,0.9361129,0.0001966189,0.0000032051464,0.00028222418,0.000101884754,0.010659064,0.04663438,0.005087683,0.000062594656,0.00007237445],"about_ca_topic_score_codex":0.000039415943,"about_ca_topic_score_gemma":0.000004783365,"teacher_disagreement_score":0.9449991,"about_ca_system_score_codex":0.000013983448,"about_ca_system_score_gemma":0.000023242954,"threshold_uncertainty_score":0.37900144},"labels":[],"label_agreement":null},{"id":"W2120042980","doi":"10.1093/cercor/bhr338","title":"The Neocortical Network Representing Associative Memory Reorganizes with Time in a Process Engaging the Anterior Temporal Lobe","year":2011,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"National Institute of Mental Health; Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Magnetoencephalography; Temporal lobe; Neocortex; Neuroscience; Association (psychology); Semantic memory; Episodic memory; Hippocampus; Functional magnetic resonance imaging; Associative property; Temporal cortex; Psychology; Representation (politics); Posterior parietal cortex; Computer science; Electroencephalography; Cognition; Epilepsy","score_opus":0.021559311315309963,"score_gpt":0.2389595664208655,"score_spread":0.21740025510555552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120042980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929599,0.00002402826,0.000042602907,0.00076959486,0.00023553368,0.00042317458,0.0000020641958,0.00007884543,0.0054642116],"genre_scores_gemma":[0.9977768,0.000005864426,0.000042080705,0.0007337772,0.00015121848,0.000027544087,0.0000011620657,0.000026315356,0.0012352102],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99821526,0.00032321972,0.0002795322,0.00042279472,0.00028546064,0.0004737079],"domain_scores_gemma":[0.99893546,0.00045927364,0.00021196097,0.0002871017,0.000052106217,0.000054121232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052963686,0.00016338323,0.00017592557,0.000026496271,0.0006606505,0.00013507764,0.00037629716,0.000048969934,0.00006058596],"category_scores_gemma":[0.0006393642,0.000084951964,0.00005000365,0.000544528,0.0002405122,0.00023595631,0.00013922332,0.00046341014,0.00003362768],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019896042,0.0004474887,0.85123056,0.000071884955,0.00010036968,0.00060351705,0.014866628,0.00016228683,0.10046405,0.0053450316,0.0026634054,0.022055142],"study_design_scores_gemma":[0.0017581645,0.0006807666,0.8890534,0.0002986089,0.00007438686,0.00020880776,0.003183725,0.06893728,0.022587216,0.012005682,0.00031800065,0.00089395756],"about_ca_topic_score_codex":0.00006851147,"about_ca_topic_score_gemma":0.00015956517,"teacher_disagreement_score":0.077876836,"about_ca_system_score_codex":0.000043505202,"about_ca_system_score_gemma":0.0000575282,"threshold_uncertainty_score":0.50812566},"labels":[],"label_agreement":null},{"id":"W2120184813","doi":"10.1109/ijcnn.1991.155261","title":"A neural network with multiple hysteresis capabilities for short-term visual memory (STVM)","year":2002,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Artificial neural network; Stimulus (psychology); Computer science; Premise; Artificial intelligence; Visual cortex; Term (time); Neuroscience; Psychology; Cognitive psychology; Physics","score_opus":0.039712901123338376,"score_gpt":0.25156019110243505,"score_spread":0.2118472899790967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120184813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952674,0.0000167848,0.0008073155,0.00042506456,0.00045639792,0.00061298435,0.000015078755,0.00017550489,0.002223492],"genre_scores_gemma":[0.9899433,0.0000059394924,0.00026274112,0.0010636311,0.00026031697,0.00009481531,0.000003947273,0.00003095041,0.008334343],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99865186,0.000057587273,0.00019648763,0.0004649108,0.00020319315,0.00042596267],"domain_scores_gemma":[0.9990462,0.00056925666,0.000043418993,0.00021683727,0.00003461653,0.000089650624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007300666,0.00018629793,0.00018225863,0.000044011864,0.0002544236,0.000099740464,0.0001496702,0.000049656723,0.00018804437],"category_scores_gemma":[0.00011165446,0.00013297002,0.00008948894,0.00016694449,0.00011540856,0.00023686636,0.000043813918,0.00009581262,0.000018711546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021283452,0.0015181522,0.0818852,0.00063155935,0.00008783158,0.00017134093,0.0017452718,0.024037423,0.7318188,0.006645025,0.041070644,0.10826041],"study_design_scores_gemma":[0.0012178824,0.0014358899,0.006182829,0.00003086876,0.00003358777,0.00007859446,0.00018003538,0.9586398,0.02959949,0.00024057351,0.0017743892,0.0005860487],"about_ca_topic_score_codex":0.000018695402,"about_ca_topic_score_gemma":0.00017968776,"teacher_disagreement_score":0.9346024,"about_ca_system_score_codex":0.000027276297,"about_ca_system_score_gemma":0.000005805106,"threshold_uncertainty_score":0.542236},"labels":[],"label_agreement":null},{"id":"W2120244066","doi":"10.1093/cercor/bhl159","title":"Task-Related Modulation of Early Cortical Responses during Language Production: An Event-Related Synthetic Aperture Magnetometry Study","year":2007,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto; Simon Fraser University","funders":"","keywords":"Magnetoencephalography; Psychology; Sensory system; Functional magnetic resonance imaging; Brain activity and meditation; Stimulus (psychology); Audiology; Premotor cortex; Neuroscience; Perception; Cognitive psychology; Electroencephalography; Dorsum; Medicine; Anatomy","score_opus":0.014511896526595357,"score_gpt":0.2752001780029676,"score_spread":0.26068828147637224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120244066","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980453,0.000023701228,0.00005112701,0.000111273526,0.00073623436,0.00063461746,0.00001145451,0.00018297635,0.00020327797],"genre_scores_gemma":[0.99732584,0.0000022858906,0.000016624006,0.00005236539,0.0000656475,0.0000063223397,0.000011783669,0.000034206372,0.0024849407],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9976942,0.00031186634,0.00055501505,0.0006419087,0.00046162418,0.00033539507],"domain_scores_gemma":[0.99891436,0.00022118482,0.00020862395,0.00045238945,0.00007378358,0.00012965563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047576474,0.00020221365,0.00023168347,0.00029224856,0.00022624359,0.000041227988,0.00018804926,0.00013509902,0.00017782234],"category_scores_gemma":[0.0010686294,0.0001784672,0.00008196116,0.0009499998,0.0001238212,0.000379837,0.00006268437,0.00038343848,0.000041775107],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005521979,0.00047220587,0.02246446,0.000018352495,0.000012506385,0.00008433842,0.00084295106,0.0001262622,0.9734545,0.00019651379,0.0000046594173,0.0017710607],"study_design_scores_gemma":[0.0006975996,0.0010481676,0.9612099,0.000026083257,0.00003791312,0.00012252537,0.00052216527,0.005346182,0.030657267,0.000097174205,0.0000061035416,0.00022893124],"about_ca_topic_score_codex":0.000035886966,"about_ca_topic_score_gemma":0.000026009688,"teacher_disagreement_score":0.94279724,"about_ca_system_score_codex":0.00006225243,"about_ca_system_score_gemma":0.000025770874,"threshold_uncertainty_score":0.7277682},"labels":[],"label_agreement":null},{"id":"W2120371661","doi":"10.1093/cercor/12.3.225","title":"Blood Capillary Distribution Correlates with Hemodynamic-based Functional Imaging in Cerebral Cortex","year":2002,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":225,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children; SickKids Foundation; University of Toronto","funders":"","keywords":"Cortex (anatomy); Functional magnetic resonance imaging; Neuroscience; Visual cortex; Hemodynamics; Cerebral cortex; Functional imaging; Temporal cortex; Auditory cortex; Sensory system; Neuroimaging; Stimulation; Psychology; Chemistry; Medicine; Internal medicine","score_opus":0.014018501872872671,"score_gpt":0.19839985290116285,"score_spread":0.18438135102829017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120371661","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941811,0.000069503905,0.0017680783,0.00082782767,0.0007517173,0.0004009545,0.00011178764,0.00023064742,0.0016583685],"genre_scores_gemma":[0.99740666,0.000013900472,0.000047187816,0.0011966776,0.000112709786,0.000031774664,0.00027974992,0.000049468283,0.00086189376],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99744815,0.00011680403,0.00040846074,0.000878913,0.0005085439,0.000639125],"domain_scores_gemma":[0.9990199,0.0001756962,0.00019229272,0.00037002945,0.00007132118,0.00017073327],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000110012035,0.00036848936,0.00028671417,0.00016849914,0.000305123,0.00013460802,0.00023068099,0.00011090138,0.00076656445],"category_scores_gemma":[0.000115911906,0.0003231067,0.000118935706,0.00069813186,0.00023257063,0.00047518392,0.00006712095,0.0004788509,0.0001558171],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073479913,0.0017801843,0.46956357,0.00012454021,0.00003647145,0.0010298112,0.00013427815,0.004999136,0.4927576,0.013035503,0.00475261,0.011051488],"study_design_scores_gemma":[0.0033361327,0.0003447615,0.36979803,0.00008807125,0.000058797876,0.00041745082,0.000043282205,0.61766356,0.0064373575,0.0007037447,0.00042355468,0.0006852777],"about_ca_topic_score_codex":0.00007143001,"about_ca_topic_score_gemma":0.00011630877,"teacher_disagreement_score":0.6126644,"about_ca_system_score_codex":0.00016876888,"about_ca_system_score_gemma":0.000052956566,"threshold_uncertainty_score":0.9999221},"labels":[],"label_agreement":null},{"id":"W2120386405","doi":"10.1023/a:1023269128622","title":"Type I Burst Excitability","year":2003,"lang":"en","type":"article","venue":"Journal of Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electric fish; Bursting; Neuroscience; Bifurcation; Physics; Depolarization; Tonic (physiology); Excitatory postsynaptic potential; Computer science; Biology; Nonlinear system; Fish <Actinopterygii>; Biophysics; Inhibitory postsynaptic potential","score_opus":0.04301014640233819,"score_gpt":0.2881509563589454,"score_spread":0.2451408099566072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120386405","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98307246,0.000014013947,0.012156503,0.00063984067,0.0025751574,0.00006632315,0.0000024551437,0.0000145611,0.0014586947],"genre_scores_gemma":[0.99700356,0.000010784861,0.0008904888,0.0019382926,0.000049764556,3.215914e-7,1.2995858e-7,0.00000619672,0.00010047255],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985036,0.00017226256,0.0003371037,0.00020658367,0.00061710714,0.00016331667],"domain_scores_gemma":[0.99889475,0.0004006591,0.00027813917,0.00009356767,0.00022290013,0.00011000881],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042024782,0.00008743556,0.00012301163,0.000117787255,0.00016353582,0.000080389764,0.00024987795,0.000021543456,0.00004695022],"category_scores_gemma":[0.0029358799,0.00007077118,0.00007229467,0.0006359875,0.00023208065,0.0004138402,0.00002139948,0.00018631532,0.000012744464],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008860781,0.00034635558,0.0018341185,0.000013002248,0.000001464116,0.00012320434,0.00005945278,0.1757134,0.6273754,0.192151,0.00056297745,0.001730972],"study_design_scores_gemma":[0.002200228,0.0031761744,0.16715804,0.00006277569,0.000030830604,0.0076526715,0.00005703097,0.13539489,0.06837539,0.5580244,0.05702342,0.00084416405],"about_ca_topic_score_codex":2.9010633e-7,"about_ca_topic_score_gemma":9.3485795e-8,"teacher_disagreement_score":0.5590001,"about_ca_system_score_codex":0.00003215566,"about_ca_system_score_gemma":0.00016786586,"threshold_uncertainty_score":0.35147345},"labels":[],"label_agreement":null},{"id":"W2120424352","doi":"10.1523/jneurosci.1958-10.2010","title":"Beyond Reversal: A Critical Role for Human Orbitofrontal Cortex in Flexible Learning from Probabilistic Feedback","year":2010,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":189,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; McGill University; University of Pennsylvania","keywords":"Orbitofrontal cortex; Stimulus (psychology); Reinforcement learning; Reinforcement; Psychology; Neuroscience; Prefrontal cortex; Cognitive psychology; Frontal lobe; Cognition; Computer science; Artificial intelligence; Social psychology","score_opus":0.031322936376691805,"score_gpt":0.29779325534651124,"score_spread":0.26647031896981943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120424352","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99466056,0.0000068558556,0.0006765387,0.0007249844,0.003335668,0.00019318466,0.000010156822,0.000028700682,0.00036337308],"genre_scores_gemma":[0.99812675,0.0000049938185,0.00046781453,0.00074712647,0.00025554633,0.0000055256155,6.0633437e-7,0.000019341067,0.00037228697],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99814844,0.00009570316,0.0004865959,0.00042603904,0.00047315753,0.00037008838],"domain_scores_gemma":[0.9986052,0.00067820924,0.0002707678,0.00016540587,0.00010658006,0.00017386673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043245446,0.00014819186,0.00024183806,0.0001794716,0.00028491986,0.00018902773,0.0004951413,0.00007188014,0.000023849407],"category_scores_gemma":[0.006013148,0.00012741501,0.000115032344,0.00037136904,0.00034194815,0.00063125027,0.00008215501,0.0008709043,0.0000046351693],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069505,0.00013689193,0.0013152149,0.000008411084,3.0036176e-7,0.00005798259,0.000066589775,0.00024155428,0.9942993,0.0031898958,0.00009751164,0.00051684317],"study_design_scores_gemma":[0.0047825826,0.0072636823,0.3399141,0.00024858734,0.00008313135,0.0019377535,0.0003490784,0.1703874,0.26172873,0.19618376,0.015805773,0.0013154069],"about_ca_topic_score_codex":0.00002656393,"about_ca_topic_score_gemma":0.000053549422,"teacher_disagreement_score":0.7325706,"about_ca_system_score_codex":0.000042810825,"about_ca_system_score_gemma":0.000098264776,"threshold_uncertainty_score":0.71987337},"labels":[],"label_agreement":null},{"id":"W2120476907","doi":"10.1016/j.bpj.2013.11.1356","title":"Reliability of Noise-Induced Spikes for Two Types of Threshold Dynamics","year":2014,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Spike (software development); Noise (video); SIGNAL (programming language); Statistical physics; Reliability (semiconductor); Synchronization (alternating current); Constant (computer programming); Physics; Interval (graph theory); Time constant; Biological system; Lag; Computer science; Mathematics; Topology (electrical circuits); Biology; Artificial intelligence","score_opus":0.024800509989953885,"score_gpt":0.277860153878161,"score_spread":0.2530596438882071,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120476907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99396986,7.261838e-7,0.004727129,0.00029086773,0.00045746533,0.000107829874,0.000018631088,0.000010367134,0.00041710737],"genre_scores_gemma":[0.99938285,0.0000030638982,0.0002258323,0.000096177384,0.00023549021,0.000001996047,0.0000010778531,0.000010154868,0.000043338612],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99912816,0.000049920967,0.0002793851,0.0001706627,0.00022115333,0.00015071922],"domain_scores_gemma":[0.99915564,0.00026354322,0.00022766746,0.00016641636,0.00012031813,0.00006642968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020481246,0.00008920982,0.0002101161,0.000042892952,0.00007322865,0.000018289144,0.00018682702,0.00003800146,0.0000063812713],"category_scores_gemma":[0.00048042985,0.00006527713,0.00016941325,0.00013103531,0.00009574353,0.00010480768,0.000033128115,0.00014774848,0.0000029125486],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000094875075,0.00013456812,0.00018405003,0.000023725524,0.0000018713341,4.2187884e-7,0.000008910045,0.00020481058,0.9765352,0.020428339,0.000023465447,0.002359787],"study_design_scores_gemma":[0.0005028609,0.0006551211,0.0027622946,0.000022089449,0.000019157336,0.00001020121,0.0000054862558,0.19662924,0.78806317,0.011181239,0.000055335466,0.0000938093],"about_ca_topic_score_codex":0.0000051908823,"about_ca_topic_score_gemma":0.000002081197,"teacher_disagreement_score":0.19642444,"about_ca_system_score_codex":0.000026134603,"about_ca_system_score_gemma":0.00002236335,"threshold_uncertainty_score":0.2661924},"labels":[],"label_agreement":null},{"id":"W2120606872","doi":"10.1523/jneurosci.6437-09.2010","title":"Mirrored Bilateral Slow-Wave Cortical Activity within Local Circuits Revealed by Fast Bihemispheric Voltage-Sensitive Dye Imaging in Anesthetized and Awake Mice","year":2010,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":270,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC; Heart and Stroke Foundation of Canada","keywords":"Neuroscience; Depolarization; Corpus callosum; Cortex (anatomy); Premovement neuronal activity; Wakefulness; Entrainment (biomusicology); Psychology; Biology; Electroencephalography; Medicine; Rhythm; Internal medicine; Biophysics","score_opus":0.017105294259913858,"score_gpt":0.24250798394322715,"score_spread":0.22540268968331328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120606872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995451,0.000005808497,0.0021636586,0.00082844566,0.0012855643,0.00017213752,0.00001023154,0.000021425796,0.00006173374],"genre_scores_gemma":[0.99830157,0.000024706549,0.00009113593,0.0013558455,0.00004843382,0.0000019344834,2.498132e-7,0.000020794923,0.00015533407],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99762803,0.00022731414,0.00051894656,0.00058108993,0.0005995014,0.0004451129],"domain_scores_gemma":[0.9985754,0.00034513668,0.00049718923,0.00019141258,0.00010643338,0.00028442882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006602752,0.0002392732,0.00034651527,0.00016819914,0.000218286,0.00019520985,0.00028270838,0.00007698754,0.000004907557],"category_scores_gemma":[0.001232815,0.00019647098,0.0000848773,0.00070218253,0.0007758482,0.00079434627,0.00009948847,0.0011279405,0.0000020526982],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000105132654,0.00012720653,0.003940438,0.000007974227,4.6197843e-7,0.00083627563,0.00012128254,0.00003423465,0.99077016,0.000034962173,0.000038098868,0.003983753],"study_design_scores_gemma":[0.0020865793,0.00046142406,0.29510552,0.00008603585,0.000021180967,0.011758712,0.000100658945,0.17141452,0.51797503,0.00028387655,0.00020721006,0.00049926504],"about_ca_topic_score_codex":0.0000268805,"about_ca_topic_score_gemma":0.000018064746,"teacher_disagreement_score":0.4727952,"about_ca_system_score_codex":0.000051418407,"about_ca_system_score_gemma":0.000106653184,"threshold_uncertainty_score":0.8011854},"labels":[],"label_agreement":null},{"id":"W2120664418","doi":"10.1186/1471-2202-15-s1-p220","title":"Neuron population activity in the medial prefrontal cortex suggests superimposed codes for situation and situation value","year":2014,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"National Institute on Aging; Evelyn F. McKnight Brain Research Foundation; McKnight Foundation; Brain Research Foundation","keywords":"Prefrontal cortex; Neuroscience; Neuron; Population; Value (mathematics); Psychology; Computer science; Medicine; Cognition","score_opus":0.03715755148584926,"score_gpt":0.28144897318064693,"score_spread":0.24429142169479767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120664418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98896265,0.0000016704429,0.008901252,0.00042706038,0.0007666369,0.00082097505,0.00001405138,0.000048286245,0.000057428373],"genre_scores_gemma":[0.99874246,0.000008258284,0.00010372638,0.00093836006,0.00009880553,0.000057282632,0.000009464727,0.0000128281,0.000028814671],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9980001,0.00044330338,0.00020466355,0.000634598,0.00044076605,0.00027658883],"domain_scores_gemma":[0.99861956,0.00094476336,0.00012949739,0.00022821825,0.000022787948,0.000055185403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065830804,0.00015444747,0.00013639833,0.00010348871,0.00035958554,0.00018750469,0.00025089813,0.00005421411,0.0000010674665],"category_scores_gemma":[0.0022487305,0.00012040695,0.00004102035,0.00034835987,0.00014550441,0.000647027,0.00005097049,0.00013660765,0.000001649384],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008259957,0.00006092368,0.0064465944,0.000014881992,6.3716556e-8,7.6083046e-7,0.00014548276,0.0007371284,0.986794,0.0033410627,0.0000061108512,0.0023703803],"study_design_scores_gemma":[0.00035807415,0.0002678904,0.66272223,0.000004826254,0.00000424,0.000013488489,0.000008608285,0.32144982,0.013966758,0.0010516908,0.00005199492,0.00010040816],"about_ca_topic_score_codex":0.00007583635,"about_ca_topic_score_gemma":0.0003756755,"teacher_disagreement_score":0.97282726,"about_ca_system_score_codex":0.000034873956,"about_ca_system_score_gemma":0.000028616616,"threshold_uncertainty_score":0.4910053},"labels":[],"label_agreement":null},{"id":"W2120882215","doi":"10.1523/jneurosci.5953-08.2009","title":"Monkey Prefrontal Cortical Pyramidal and Putative Interneurons Exhibit Differential Patterns of Activity Between Prosaccade and Antisaccade Tasks","year":2009,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":90,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Prefrontal cortex; Antidromic; Stimulus (psychology); Forebrain; Antisaccade task; Neuron; Psychology; Interneuron; Electrophysiology; Biology; Inhibitory postsynaptic potential; Cognition; Eye movement; Central nervous system; Saccade; Cognitive psychology","score_opus":0.032924624321012785,"score_gpt":0.28831856978642273,"score_spread":0.25539394546540994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120882215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99484015,0.000008009015,0.003909898,0.0006196626,0.00037788157,0.00016560686,0.000047309764,0.000012575996,0.00001891524],"genre_scores_gemma":[0.9995082,0.00007289406,0.00003122406,0.00025508838,0.00008235098,6.548066e-7,2.3395384e-7,0.000009504217,0.000039869108],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99817264,0.00018317475,0.00042874046,0.0004052178,0.0005224812,0.00028775472],"domain_scores_gemma":[0.9988745,0.00025465418,0.00048729245,0.00011922833,0.000047648653,0.00021666239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015848197,0.00018593982,0.0003456692,0.00016145413,0.00014720498,0.00012323092,0.00027792386,0.00006158342,0.0000025116585],"category_scores_gemma":[0.0006079048,0.00014547368,0.00007779262,0.00018760106,0.00039116817,0.00071949244,0.00013747021,0.0005724925,2.9495655e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001071135,0.00013347458,0.021737399,0.000012649084,0.0000016039791,0.000050338418,0.0001360555,0.000012378513,0.97095245,0.00012045021,0.0000039213055,0.006732147],"study_design_scores_gemma":[0.0004256471,0.0015012244,0.7808537,0.000033825025,0.00002361123,0.0003688435,0.000013824109,0.0037328387,0.21266648,0.0002570534,0.000013173195,0.00010978398],"about_ca_topic_score_codex":0.0000060384,"about_ca_topic_score_gemma":0.0000010243531,"teacher_disagreement_score":0.7591163,"about_ca_system_score_codex":0.00002147688,"about_ca_system_score_gemma":0.0000371155,"threshold_uncertainty_score":0.59322447},"labels":[],"label_agreement":null},{"id":"W2121102898","doi":"10.3389/fncom.2011.00001","title":"Mechanisms Gating the Flow of Information in the Cortex: What They Might Look Like and What Their Uses may be","year":2011,"lang":"en","type":"article","venue":"Frontiers in Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Gating; Neuroscience; Bistability; Thalamus; Cortex (anatomy); Electrophysiology; Biological neural network; Computer science; Physics; Psychology","score_opus":0.030034955881698293,"score_gpt":0.22825193641538555,"score_spread":0.19821698053368725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121102898","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9222186,0.00010353711,0.07073679,0.002298716,0.0037608217,0.00069985096,0.000020789157,0.000028327422,0.00013255952],"genre_scores_gemma":[0.9898912,0.0002952647,0.0028411264,0.0069254697,0.000009047555,0.000018729846,0.000003960582,0.000005942686,0.000009288426],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99843514,0.00026239493,0.0003325294,0.00028997145,0.00046384093,0.0002161395],"domain_scores_gemma":[0.9990777,0.0004706167,0.00019912941,0.00018025958,0.000041575924,0.000030717056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005858831,0.00013766233,0.00012959211,0.00017775463,0.00023339735,0.0004553762,0.000519894,0.00003635953,0.000002757935],"category_scores_gemma":[0.00023724357,0.00008264576,0.00003624638,0.00053047173,0.00034978974,0.0036877585,0.00010842244,0.00020405225,0.0000010365764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006548568,0.0011119283,0.027042637,0.00025507403,0.000012975649,0.000100402,0.114203244,0.31944937,0.115536556,0.14193189,0.0017050687,0.277996],"study_design_scores_gemma":[0.00032285845,0.00016396139,0.05639803,0.0000784595,0.000003844344,0.000064743625,0.0070369286,0.8719968,0.0016478358,0.061805513,0.0003130888,0.00016789947],"about_ca_topic_score_codex":0.000021004214,"about_ca_topic_score_gemma":0.000018188452,"teacher_disagreement_score":0.55254745,"about_ca_system_score_codex":0.000021993692,"about_ca_system_score_gemma":0.00004477918,"threshold_uncertainty_score":0.43912032},"labels":[],"label_agreement":null},{"id":"W2121164361","doi":"10.1073/pnas.1114223109","title":"Orientation selectivity and noise correlation in awake monkey area V1 are modulated by the gamma cycle","year":2012,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":137,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Max-Planck-Gesellschaft; Canadian Institutes of Health Research; European Science Foundation","keywords":"Excitatory postsynaptic potential; Stimulus (psychology); Inhibitory postsynaptic potential; Postsynaptic potential; Neuron; Neuroscience; Visual cortex; Physics; Biophysics; Biological system; Biology; Psychology","score_opus":0.03691266004877822,"score_gpt":0.278704631789679,"score_spread":0.2417919717409008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121164361","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969966,0.000028248061,0.000006513368,0.002040129,0.000044146745,0.00019917048,0.000010818757,0.000008821022,0.0006655472],"genre_scores_gemma":[0.9995629,0.00001708829,0.000034496985,0.00026803123,0.000026345198,0.000008869094,1.7572805e-7,0.0000028348047,0.000079261554],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99879164,0.00001766742,0.00019203585,0.00019865221,0.00065771554,0.00014227287],"domain_scores_gemma":[0.9993289,0.00021057935,0.00034491596,0.000007013533,0.0000828266,0.00002572563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008256885,0.000071501956,0.00008155672,0.00009289063,0.00023785688,0.000028813403,0.00023417432,0.00005341001,0.0000031329323],"category_scores_gemma":[0.0009160836,0.00004289398,0.000023890727,0.00091904966,0.00037189573,0.0008761175,0.00006282225,0.00015023754,6.0138257e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010249077,0.000048600356,0.14525378,0.000010415421,0.0000010474839,1.6136495e-9,0.00020029876,0.0007551649,0.8463516,0.0067143734,0.00016465555,0.0004898008],"study_design_scores_gemma":[0.00013153965,0.000016496018,0.6602184,0.000022758886,0.0000038596936,0.0000066641073,0.00008634123,0.09353245,0.23353095,0.012369204,0.000026663303,0.000054666652],"about_ca_topic_score_codex":0.000014263734,"about_ca_topic_score_gemma":2.3975343e-7,"teacher_disagreement_score":0.6128207,"about_ca_system_score_codex":0.00003589357,"about_ca_system_score_gemma":0.000008145594,"threshold_uncertainty_score":0.18294267},"labels":[],"label_agreement":null},{"id":"W2121808916","doi":"10.1152/jn.01113.2009","title":"Subthreshold Membrane Conductances Enhance Directional Selectivity in Vertebrate Sensory Neurons","year":2010,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Subthreshold conduction; Neuroscience; Sensory system; Vertebrate; Membrane potential; Selectivity; Electrophysiology; Chemistry; Biophysics; Communication; Biology; Psychology; Physics","score_opus":0.024854619010086787,"score_gpt":0.2699260913758643,"score_spread":0.24507147236577753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121808916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948519,0.0000044922313,0.000012775885,0.000803601,0.0038476365,0.00007726408,0.000005925901,0.000019191424,0.00037721416],"genre_scores_gemma":[0.99805135,0.00010398431,0.000050442934,0.0012203,0.00032569093,0.000002161424,3.7863904e-7,0.000017540959,0.00022817227],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985091,0.00028771814,0.00038939703,0.00032760552,0.00021155675,0.00027459738],"domain_scores_gemma":[0.99881774,0.00052250805,0.00032183173,0.00016197127,0.0000903437,0.00008561962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009219665,0.00015603144,0.00031816447,0.00020405541,0.00010214183,0.000025987305,0.00025004582,0.00008106511,0.000075827826],"category_scores_gemma":[0.0007951625,0.00012944007,0.000108498025,0.00036770263,0.0001941336,0.00033523887,0.000043536773,0.0011248385,0.000019709001],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019379,0.00013557868,0.00028310262,0.0000066644634,0.0000026346897,0.00020089264,0.00001403053,0.0006372146,0.99734306,0.00044272328,0.000035925226,0.00070435466],"study_design_scores_gemma":[0.0005488989,0.0007697917,0.04645311,0.000009673552,0.000008861049,0.0012299555,0.000004260555,0.008707417,0.9386745,0.0022476232,0.0011510482,0.00019484626],"about_ca_topic_score_codex":0.000005669835,"about_ca_topic_score_gemma":0.00002136346,"teacher_disagreement_score":0.058668572,"about_ca_system_score_codex":0.000017772996,"about_ca_system_score_gemma":0.00007649176,"threshold_uncertainty_score":0.52784127},"labels":[],"label_agreement":null},{"id":"W2122100789","doi":"10.3389/fnhum.2012.00337","title":"GABAA receptors in visual and auditory cortex and neural activity changes during basic visual stimulation","year":2012,"lang":"en","type":"article","venue":"Frontiers in Human Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; McGill Genome Centre; Mental Health Research Canada; McGill University; Royal Ottawa Mental Health Centre","funders":"Canadian Institutes of Health Research; Hope for Depression Research Foundation","keywords":"Neuroscience; GABAA receptor; Stimulation; Hum; Visual cortex; Psychology; Receptor; Medicine; Art; Internal medicine","score_opus":0.023444864133986287,"score_gpt":0.2797808287591772,"score_spread":0.2563359646251909,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122100789","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952762,0.000037234873,0.00027659733,0.000104813415,0.0039293836,0.00028810443,0.0000028790625,0.00004858732,0.00003621154],"genre_scores_gemma":[0.9992884,0.00006659329,0.0000286625,0.00023169484,0.00016719864,0.000016036744,8.0538666e-7,0.000018503892,0.00018211816],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9981336,0.00020566428,0.00016975991,0.0006529021,0.00030752167,0.00053053605],"domain_scores_gemma":[0.999519,0.00008132272,0.00011801395,0.00012444181,0.000009574868,0.00014768292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002758404,0.00020159698,0.00020489038,0.00041184857,0.00032942783,0.000100323115,0.0001404513,0.00007153571,0.0000049279242],"category_scores_gemma":[0.0002661261,0.00020591449,0.000020350726,0.0005131968,0.00040396358,0.0010167584,0.0001617332,0.00031128802,3.5357738e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052439875,0.00010336497,0.2491285,0.00002311338,2.2196735e-7,0.000010665102,0.00019821295,0.0001937093,0.7461239,0.000027859362,0.00005153276,0.0040864605],"study_design_scores_gemma":[0.00047828458,0.00020234012,0.86846507,0.000018614006,0.0000028618551,0.000019121044,0.00004342386,0.11414526,0.016251823,0.000047301473,0.00009895331,0.00022696237],"about_ca_topic_score_codex":0.00001737675,"about_ca_topic_score_gemma":0.000029898327,"teacher_disagreement_score":0.7298721,"about_ca_system_score_codex":0.00008996564,"about_ca_system_score_gemma":0.000011126235,"threshold_uncertainty_score":0.8396949},"labels":[],"label_agreement":null},{"id":"W2122175193","doi":"10.1109/iembs.2008.4649703","title":"Fixed threshold modeling of an adjustable threshold integrate-and-fire neuronal model","year":2008,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Threshold model; Biological neuron model; Threshold limit value; Computer science; Action (physics); Spike (software development); Statistical physics; Physics; Artificial intelligence; Artificial neural network","score_opus":0.07209672563101957,"score_gpt":0.258174212015164,"score_spread":0.18607748638414442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122175193","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9875773,0.000016807533,0.006241832,0.00019116432,0.00012720139,0.00014609675,0.000014221694,0.00009742101,0.0055879327],"genre_scores_gemma":[0.9966086,0.000109062195,0.0008175786,0.0008950793,0.000029507803,0.0000070274396,0.000005098738,0.000024033827,0.0015039702],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99867135,0.000023162078,0.00026859407,0.00047106607,0.00029490585,0.00027091376],"domain_scores_gemma":[0.99945635,0.000037698388,0.000059420418,0.0002810097,0.000050354338,0.00011519308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009197157,0.00017258339,0.00019896141,0.000072266965,0.00020641861,0.000028908093,0.00020742556,0.000070731796,0.00003928157],"category_scores_gemma":[0.000048496946,0.00013636761,0.00006118812,0.00019171453,0.0001129487,0.0005001565,0.00009720457,0.0002177839,0.000004853827],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011757927,0.00012704759,0.00027988793,0.000018220378,0.000002701121,0.000018866323,0.00013127229,0.5632739,0.4049992,0.029971514,0.000192084,0.00086767966],"study_design_scores_gemma":[0.00026774785,0.00013702801,0.00006410613,0.000007620869,0.000005761926,0.00004505792,0.000027364167,0.9679769,0.026119696,0.005192318,0.000009102941,0.00014729441],"about_ca_topic_score_codex":0.00006706484,"about_ca_topic_score_gemma":0.000019632915,"teacher_disagreement_score":0.40470296,"about_ca_system_score_codex":0.000014675587,"about_ca_system_score_gemma":0.000049800874,"threshold_uncertainty_score":0.556091},"labels":[],"label_agreement":null},{"id":"W2122416513","doi":"10.1523/jneurosci.4963-06.2007","title":"The Interplay of Stimulus Modality and Response Latency in Neural Network Organization for Simple Working Memory Tasks","year":2007,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Stimulus (psychology); Functional magnetic resonance imaging; Psychology; Stimulus modality; Prefrontal cortex; Sensory system; Neuroscience; Posterior parietal cortex; Working memory; Anterior cingulate cortex; Audiology; Cognitive psychology; Cognition; Medicine","score_opus":0.027678957911539005,"score_gpt":0.29635685472415624,"score_spread":0.2686778968126172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122416513","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932751,0.000032833854,0.0046884636,0.000786548,0.0010406664,0.00015082948,0.0000017242993,0.0000064675037,0.000017377826],"genre_scores_gemma":[0.999216,0.000039174985,0.00007732058,0.00054820284,0.00007276304,4.5426154e-7,9.709469e-8,0.000009516083,0.000036471283],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985507,0.00018563098,0.0005130921,0.00019345315,0.0002862695,0.00027083716],"domain_scores_gemma":[0.99758935,0.0016401692,0.00046904746,0.00012672727,0.000104219645,0.00007050482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023169983,0.000088764864,0.00014570632,0.000109258144,0.00026953852,0.00008011493,0.00031910746,0.00003375132,9.441565e-7],"category_scores_gemma":[0.004514581,0.00006090209,0.00004152188,0.0008105839,0.00020724203,0.00027481938,0.00008607725,0.00020696306,1.07713106e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010615262,0.000040894825,0.008836382,0.000006668867,4.863004e-7,0.00003351956,0.00015410905,0.010489398,0.9688484,0.00031067262,0.00004379358,0.010174132],"study_design_scores_gemma":[0.0013286493,0.0015733718,0.7281703,0.00008698848,0.000015936534,0.00056666596,0.0001514038,0.19470407,0.06741844,0.0048987134,0.00083570543,0.00024980598],"about_ca_topic_score_codex":0.000003574689,"about_ca_topic_score_gemma":0.000011989607,"teacher_disagreement_score":0.90142995,"about_ca_system_score_codex":0.00003859734,"about_ca_system_score_gemma":0.000048445432,"threshold_uncertainty_score":0.5404701},"labels":[],"label_agreement":null},{"id":"W2122770303","doi":"10.3389/fnins.2013.00074","title":"Abrupt changes in the patterns and complexity of anterior cingulate cortex activity when food is introduced into an environment","year":2013,"lang":"en","type":"article","venue":"Frontiers in Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"Tula Foundation","keywords":"Anterior cingulate cortex; Neuroscience; Psychology; Front (military); Cognition; Geology","score_opus":0.03573816437390081,"score_gpt":0.239791604967384,"score_spread":0.20405344059348318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122770303","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950085,0.000011375171,0.0013740817,0.0024294816,0.0006378333,0.000488594,0.000018728073,0.000012420057,0.000018956644],"genre_scores_gemma":[0.99753386,0.00012807532,0.00026805833,0.0019855627,0.00002130979,0.00003096957,5.139725e-7,0.000009236563,0.000022441443],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9982488,0.00025134376,0.00019748759,0.000670157,0.00033069606,0.00030152645],"domain_scores_gemma":[0.9993532,0.000049057333,0.00013648029,0.00039060367,0.000008258746,0.000062447514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027525483,0.0001559932,0.00021152465,0.00013617551,0.00012327549,0.00009334343,0.0004907221,0.00003939068,0.000015288675],"category_scores_gemma":[0.000108382694,0.00011934027,0.000024299925,0.0002537221,0.00058977935,0.0004516582,0.00016854286,0.00020371826,0.000001021484],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021699832,0.00013193974,0.04792597,0.00002190219,3.4963045e-7,0.000005191735,0.001557932,0.000013082209,0.93832505,0.000057283836,0.000053559193,0.011886045],"study_design_scores_gemma":[0.00027202698,0.00058268144,0.9042406,0.000019313664,0.0000023726882,0.00001128317,0.00016810634,0.042297456,0.049319234,0.0028545638,0.000084226966,0.00014814119],"about_ca_topic_score_codex":0.0003674694,"about_ca_topic_score_gemma":0.00022690876,"teacher_disagreement_score":0.88900584,"about_ca_system_score_codex":0.00003851049,"about_ca_system_score_gemma":0.000010409268,"threshold_uncertainty_score":0.4866555},"labels":[],"label_agreement":null},{"id":"W2122985363","doi":"10.1162/neco_a_00734","title":"Surrogate Population Models for Large-Scale Neural Simulations","year":2015,"lang":"en","type":"article","venue":"Neural Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Surrogate model; Artificial neural network; Computer science; Population; Spike (software development); Models of neural computation; Biological neuron model; Computation; Gaussian; Surrogate data; Algorithm; Artificial intelligence; Nonlinear system; Machine learning","score_opus":0.08651826119971792,"score_gpt":0.31578988022250204,"score_spread":0.22927161902278412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122985363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8861923,0.0000069049397,0.110962585,0.0007160851,0.0010740159,0.00057034305,0.00008454893,0.00021616874,0.00017699994],"genre_scores_gemma":[0.99771386,6.843852e-7,0.000853645,0.00077301735,0.00016462478,0.000020727914,0.00028434867,0.000028652374,0.0001604126],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99859375,0.000121160534,0.00028667273,0.00040862162,0.00030468663,0.000285093],"domain_scores_gemma":[0.9991894,0.0002665463,0.00014174882,0.00012926206,0.00015159413,0.000121476456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014307974,0.00015545107,0.00014880166,0.00011729865,0.00026148153,0.00011588391,0.000106061,0.000064230524,0.0000041581493],"category_scores_gemma":[0.00020019732,0.00015061983,0.00008227364,0.00030458756,0.000017497852,0.00078189286,0.000040118895,0.00011034719,0.000010892978],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008088029,0.0000503734,0.00041826325,0.000009138834,0.0000012273912,0.0000013296967,0.0001609497,0.9844511,0.008326018,0.0025260646,0.00026077058,0.003713884],"study_design_scores_gemma":[0.00093178573,0.00016782848,0.0014946595,0.0000037327936,0.0000110640585,0.000009254843,0.000025861724,0.9697118,0.00090155384,0.026446974,0.00013802583,0.0001574949],"about_ca_topic_score_codex":0.000027291668,"about_ca_topic_score_gemma":0.000053840573,"teacher_disagreement_score":0.111521535,"about_ca_system_score_codex":0.00006758729,"about_ca_system_score_gemma":0.00001618792,"threshold_uncertainty_score":0.61420983},"labels":[],"label_agreement":null},{"id":"W2123064567","doi":"10.1186/1471-2202-12-s1-p34","title":"Burst dynamics enable contrast coding via synchrony","year":2011,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Stimulus (psychology); Neuroscience; Inhibitory postsynaptic potential; Neural coding; Sensory system; Population; ENCODE; Electrophysiology; Physics; Biology; Psychology; Cognitive psychology","score_opus":0.0611252830385314,"score_gpt":0.24501706532009151,"score_spread":0.1838917822815601,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123064567","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79939216,0.000014900911,0.16079205,0.00020174259,0.0057904664,0.0007255334,0.00005646726,0.00055986195,0.032466833],"genre_scores_gemma":[0.9961,0.000022879018,0.0003200192,0.0017941471,0.00007076082,0.000019642817,0.0000013820253,0.000028788163,0.0016423643],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975782,0.00011709569,0.000292245,0.0009035774,0.000453511,0.00065534294],"domain_scores_gemma":[0.9989536,0.000184451,0.0001573953,0.0004598381,0.000040502797,0.00020425725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002417412,0.0002354109,0.000192432,0.00013566225,0.00051952177,0.00014510193,0.0007072668,0.00006240027,0.00007918908],"category_scores_gemma":[0.0007142704,0.00021416708,0.00008966612,0.0007343229,0.00045391978,0.0006321416,0.0001889986,0.00023668184,0.00011374828],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037141195,0.0001294861,0.002971527,0.000020934236,3.4042847e-7,0.00006526019,0.000058113914,0.00009663314,0.9656903,0.02925354,0.00008909291,0.0015876164],"study_design_scores_gemma":[0.00064901897,0.0005238518,0.019076373,0.000035652072,0.00001720531,0.00044696458,0.00005416832,0.6371183,0.33511618,0.0046063624,0.0016201789,0.00073577836],"about_ca_topic_score_codex":0.000060737584,"about_ca_topic_score_gemma":0.000058359325,"teacher_disagreement_score":0.63702166,"about_ca_system_score_codex":0.000088769644,"about_ca_system_score_gemma":0.0000703767,"threshold_uncertainty_score":0.87334806},"labels":[],"label_agreement":null},{"id":"W2124073865","doi":"10.1159/000076781","title":"Causes and Consequences of Limited Attention","year":2004,"lang":"en","type":"review","venue":"Brain Behavior and Evolution","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":240,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"McMaster University","keywords":"Set (abstract data type); Cognition; Predation; Animal cognition; Cognitive psychology; Biology; Psychology; Cognitive science; Ecology; Computer science; Neuroscience","score_opus":0.07485357558425981,"score_gpt":0.32564529297717704,"score_spread":0.2507917173929172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124073865","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032964237,0.9653915,0.00003812131,0.0000979851,0.0004127695,0.00080551696,0.00015983792,0.000085562366,0.000044470606],"genre_scores_gemma":[0.026951278,0.97257024,0.000029480638,0.000024030396,0.000034348115,0.000058510825,0.000046059326,0.000019507639,0.00026652246],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987296,0.00014594277,0.0003613169,0.0004308969,0.0001675911,0.00016465494],"domain_scores_gemma":[0.9993423,0.00014509342,0.0002816468,0.00014024059,0.000028781866,0.00006193596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012847883,0.0002240381,0.0005090366,0.00020330046,0.00013131971,0.000040312447,0.00007458085,0.00020025969,0.0000071995014],"category_scores_gemma":[0.00019465947,0.00018394638,0.000118392665,0.00025828902,0.00036327666,0.00014469992,0.00005176863,0.00016481266,0.000004191948],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021171392,0.00024502873,0.00078354316,0.013136999,0.00001762248,0.0000498609,0.00004839726,0.000001177856,0.046143148,0.013566204,0.00026799217,0.92571884],"study_design_scores_gemma":[0.0052424786,0.004253314,0.113805816,0.08877614,0.010321672,0.009681346,0.00028699473,0.00033290463,0.0021344265,0.011431316,0.7469642,0.0067693884],"about_ca_topic_score_codex":0.00009084336,"about_ca_topic_score_gemma":0.000011415375,"teacher_disagreement_score":0.9189495,"about_ca_system_score_codex":0.00007651949,"about_ca_system_score_gemma":0.000085304324,"threshold_uncertainty_score":0.7501115},"labels":[],"label_agreement":null},{"id":"W2124215056","doi":"10.1002/hbm.22647","title":"Individual peak gamma frequency predicts switch rate in perceptual rivalry","year":2014,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Magnetoencephalography; Binocular rivalry; Neuroscience; Psychology; Alternation (linguistics); Visual cortex; Perception; Rivalry; Population; Visual perception; Electroencephalography; Medicine","score_opus":0.0521652444596646,"score_gpt":0.26154267772933537,"score_spread":0.2093774332696708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124215056","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9862672,0.0000060918414,0.0006714598,0.0013459407,0.00040509462,0.00029498406,0.000009507902,0.0001788789,0.010820835],"genre_scores_gemma":[0.99444467,0.0000029921925,0.00008864521,0.0038253597,0.00034943337,0.000026707812,0.00002222046,0.00003569395,0.0012043011],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9975184,0.0004874753,0.00040644794,0.0006813179,0.0003703179,0.0005360096],"domain_scores_gemma":[0.9988854,0.0004729427,0.00013652441,0.00036459524,0.000025271098,0.00011526744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010132942,0.00023852718,0.0002369463,0.0003161719,0.0003966684,0.00019367099,0.00044322218,0.00011368267,0.0002129283],"category_scores_gemma":[0.0011287896,0.00023846803,0.0000797961,0.0004084507,0.00014351495,0.00032752214,0.00016503656,0.00043797455,0.00013064677],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005356742,0.000052695195,0.004088889,0.00003226676,0.0000029246441,0.000021129475,0.0013251088,0.00007331684,0.9689331,0.022493498,0.0012271943,0.0017445085],"study_design_scores_gemma":[0.0016754721,0.0003033258,0.94212407,0.00018478447,0.000009869819,0.000035203935,0.00038942404,0.009301484,0.0016750895,0.035156023,0.008439735,0.00070553634],"about_ca_topic_score_codex":0.00004439654,"about_ca_topic_score_gemma":0.000064952605,"teacher_disagreement_score":0.96725804,"about_ca_system_score_codex":0.00006856788,"about_ca_system_score_gemma":0.000027408352,"threshold_uncertainty_score":0.9724444},"labels":[],"label_agreement":null},{"id":"W2124405419","doi":"10.1016/j.neuroimage.2010.01.073","title":"The pairwise phase consistency: A bias-free measure of rhythmic neuronal synchronization","year":2010,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":549,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Population; Pairwise comparison; Estimator; Statistic; Statistics; Anticipation (artificial intelligence); Mathematics; Synchronization (alternating current); Consistency (knowledge bases); Computer science; Artificial intelligence","score_opus":0.03452796508802741,"score_gpt":0.26239337890173425,"score_spread":0.22786541381370684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124405419","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991564,0.000013906086,0.0004419595,0.0028094396,0.0017407077,0.000374903,0.00006617602,0.00011305067,0.0028758773],"genre_scores_gemma":[0.9983614,0.000030332314,0.000051456114,0.0009837808,0.00012706894,0.000014486818,0.000003568778,0.000030982766,0.0003969234],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99833393,0.00020612984,0.00031829785,0.00041594935,0.00045332464,0.00027235015],"domain_scores_gemma":[0.9981637,0.0006614844,0.00021056106,0.0007740902,0.00010835267,0.000081813596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028999452,0.0001666755,0.00014809034,0.00006705587,0.0003738466,0.000101505444,0.0004448664,0.000058436814,0.000054222062],"category_scores_gemma":[0.0043110787,0.000120210636,0.00010663629,0.00036187377,0.00039238122,0.00019909767,0.00012902012,0.00043354073,0.00002889269],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000079897975,0.000108381675,0.00014171665,0.0000122406955,0.0000016320622,0.000031139847,0.000020093685,0.000014062774,0.9786341,0.004368168,0.0012545595,0.015333998],"study_design_scores_gemma":[0.008536556,0.002139643,0.018666146,0.000059705344,0.00011765834,0.0009418442,0.000034893954,0.13721736,0.7449364,0.0099178115,0.076390505,0.0010414646],"about_ca_topic_score_codex":0.0000067331803,"about_ca_topic_score_gemma":0.000040107145,"teacher_disagreement_score":0.2336977,"about_ca_system_score_codex":0.000010015849,"about_ca_system_score_gemma":0.00009369333,"threshold_uncertainty_score":0.5161075},"labels":[],"label_agreement":null},{"id":"W2124588103","doi":"10.1109/72.846745","title":"Logic operations based on single neuron rational model","year":2000,"lang":"en","type":"article","venue":"IEEE Transactions on Neural Networks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Logic gate; Partition (number theory); Mathematics; Algorithm","score_opus":0.03745958330615788,"score_gpt":0.24424282436584172,"score_spread":0.20678324105968382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124588103","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17958093,0.0000040060486,0.8112558,0.0034156,0.0013904487,0.00054720783,0.00007462622,0.00037549826,0.0033558626],"genre_scores_gemma":[0.9828599,0.000021874173,0.00020769342,0.013773608,0.00013066299,0.000066774315,0.0000125423085,0.00003996759,0.0028869417],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981944,0.00016170843,0.00028969435,0.00061836257,0.0003612667,0.0003745622],"domain_scores_gemma":[0.9991789,0.0002710515,0.00003491579,0.00034888362,0.000032193388,0.00013404981],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000064333006,0.00027046815,0.00016430674,0.00013093067,0.00067961897,0.00015019877,0.00020322217,0.00012092264,0.0008281585],"category_scores_gemma":[0.000010347194,0.0002445645,0.00016746049,0.00043240198,0.00009215827,0.00028745615,8.486498e-7,0.0005424931,0.00010636805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019463101,0.00039420815,4.8831004e-7,0.0000017965755,0.0000017289647,0.000010010671,0.0000069472003,0.9565937,0.024031807,0.00025243382,0.0002101863,0.0183021],"study_design_scores_gemma":[0.00047118976,0.0005563636,0.000019034122,0.000010470717,0.0000144948,0.000015975646,0.0000010795854,0.99027854,0.008104161,0.00014132872,0.00015022291,0.00023712282],"about_ca_topic_score_codex":0.0000065459285,"about_ca_topic_score_gemma":0.00003131479,"teacher_disagreement_score":0.81104815,"about_ca_system_score_codex":0.00006622523,"about_ca_system_score_gemma":0.000026280868,"threshold_uncertainty_score":0.99730504},"labels":[],"label_agreement":null},{"id":"W2124781032","doi":"10.1016/j.neuroimage.2012.09.034","title":"Characterization of the blood-oxygen level-dependent (BOLD) response in cat auditory cortex using high-field fMRI","year":2012,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; University College London; Canada Foundation for Innovation","keywords":"Auditory cortex; Neuroscience; Blood-oxygen-level dependent; Visual cortex; Stimulus (psychology); Functional magnetic resonance imaging; Psychology; Temporal cortex; Brain activity and meditation; Electrophysiology; Haemodynamic response; Audiology; Medicine; Electroencephalography; Cognitive psychology; Internal medicine","score_opus":0.042801366984848224,"score_gpt":0.25946957045741786,"score_spread":0.21666820347256965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124781032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966171,0.0000022723361,0.00012548927,0.00044626393,0.0023915253,0.00025990806,0.000041749983,0.000026413094,0.00008927229],"genre_scores_gemma":[0.9979675,0.000010953352,0.000023203407,0.0011107511,0.00018339367,0.000005673725,0.0000022968027,0.000023071118,0.00067318353],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984394,0.00043011617,0.0002656367,0.00027620126,0.00031175005,0.00027693686],"domain_scores_gemma":[0.999093,0.0002721021,0.00019483847,0.00035919098,0.000026790585,0.00005408604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002976037,0.00013159338,0.0001386303,0.0001011035,0.0001079133,0.000028981674,0.00023946667,0.00006703995,0.000041912146],"category_scores_gemma":[0.0006369334,0.000105134866,0.000055288016,0.0003090306,0.000056618635,0.00033271298,0.00013603202,0.00018776083,0.000013020539],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001653113,0.0001350068,0.0030054199,0.0000105083045,0.0000011065686,0.000010981089,0.00010729626,0.000023036158,0.99620116,0.00014403471,0.000019349867,0.0001767977],"study_design_scores_gemma":[0.00022318214,0.00006636913,0.4535023,0.000013402047,0.000009670663,0.00002299517,0.0000052932487,0.00081296056,0.54509884,0.0000158602,0.00015030004,0.00007879961],"about_ca_topic_score_codex":0.000059358827,"about_ca_topic_score_gemma":0.000009690624,"teacher_disagreement_score":0.4511023,"about_ca_system_score_codex":0.000035362642,"about_ca_system_score_gemma":0.000043118405,"threshold_uncertainty_score":0.42872757},"labels":[],"label_agreement":null},{"id":"W2124956285","doi":"10.1139/y04-053","title":"Direct and indirect assessment of γ-motor firing patterns","year":2004,"lang":"en","type":"review","venue":"Canadian Journal of Physiology and Pharmacology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Neuroscience; Afferent; Motor control; Biology; Computer science","score_opus":0.04878030293283234,"score_gpt":0.3464249620478703,"score_spread":0.297644659115038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124956285","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.061485507,0.93507755,0.0000060644907,0.00008273715,0.0025916747,0.00032831277,0.00022642192,0.000004724968,0.00019700729],"genre_scores_gemma":[0.18562038,0.8139074,0.000012458997,0.00020852635,0.00019186155,0.0000056239683,0.0000039509505,0.000015164877,0.000034636025],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986016,0.00039288664,0.00044545927,0.0002458033,0.000054891938,0.0002593292],"domain_scores_gemma":[0.99856716,0.00043082391,0.00060548284,0.00006776536,0.000037213355,0.0002915319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019527215,0.00020988243,0.001037884,0.00037095137,0.0001170523,0.000010614888,0.00018239292,0.00019486666,0.00024172264],"category_scores_gemma":[0.00004447056,0.00016567815,0.0001557761,0.00011609729,0.00024383071,0.00006770704,0.00003156976,0.0005114985,8.2142265e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052738047,0.00010515657,0.00031142097,0.028911974,0.00056840584,0.00094935246,0.00018469543,0.00004929564,0.40207645,0.0007197176,0.00052476523,0.56554604],"study_design_scores_gemma":[0.0021471253,0.0028447532,0.0037818407,0.0077097816,0.0024002278,0.0035037664,0.000013584935,0.00009774613,0.020252697,0.0015047118,0.9546341,0.0011096846],"about_ca_topic_score_codex":0.00013178798,"about_ca_topic_score_gemma":0.00018271945,"teacher_disagreement_score":0.9541093,"about_ca_system_score_codex":0.00009601253,"about_ca_system_score_gemma":0.000996487,"threshold_uncertainty_score":0.6756159},"labels":[],"label_agreement":null},{"id":"W2125055052","doi":"10.1093/cercor/bhn161","title":"A Dual Role for Prediction Error in Associative Learning","year":2008,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":332,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"Wellcome Trust","keywords":"Surprise; Associative property; Functional magnetic resonance imaging; Stimulus (psychology); Perception; Associative learning; Sensory system; Psychology; Cognitive psychology; Visual cortex; Predictive coding; Visual perception; Computer science; Neuroscience; Artificial intelligence; Coding (social sciences); Communication","score_opus":0.034798543720085374,"score_gpt":0.25745285630236153,"score_spread":0.22265431258227616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125055052","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965993,0.0000060102507,0.00020721837,0.0002016165,0.0003652929,0.00028656606,0.000039428698,0.000089302914,0.0022052645],"genre_scores_gemma":[0.9959328,0.0000072496473,0.000046906527,0.00030297865,0.00011579135,0.000040371473,0.000020941297,0.00001475646,0.003518198],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990797,0.00007102918,0.00016084049,0.0002998887,0.00015470454,0.00023381771],"domain_scores_gemma":[0.9996239,0.00015220586,0.000086583095,0.00006746537,0.000027602746,0.000042227904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000095595555,0.00009257681,0.00011758282,0.00007202054,0.00022403488,0.000017038185,0.00006104069,0.00006375851,0.00003092313],"category_scores_gemma":[0.0004997942,0.00008875927,0.00006001507,0.00020727846,0.000040824238,0.00019710188,0.000028267608,0.00019872184,0.000025044612],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035855477,0.0002755754,0.21492231,0.000024685458,0.000011836225,0.000056865054,0.0021925566,0.0010600322,0.7663819,0.0046919393,0.0022781854,0.007745542],"study_design_scores_gemma":[0.0018113926,0.0007879935,0.77005416,0.000019928839,0.0000103715,0.000064775515,0.00026591396,0.20482197,0.015182804,0.0026146169,0.004083939,0.0002821363],"about_ca_topic_score_codex":0.000020973446,"about_ca_topic_score_gemma":0.00003337005,"teacher_disagreement_score":0.7511991,"about_ca_system_score_codex":0.00008483035,"about_ca_system_score_gemma":0.000030017489,"threshold_uncertainty_score":0.36194977},"labels":[],"label_agreement":null},{"id":"W2125608055","doi":"10.1162/jocn_a_00637","title":"Dynamics of Alpha Control: Preparatory Suppression of Posterior Alpha Oscillations by Frontal Modulators Revealed with Combined EEG and Event-related Optical Signal","year":2014,"lang":"en","type":"article","venue":"Journal of Cognitive Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":101,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Eye Institute; National Institute of Mental Health; Natural Sciences and Engineering Research Council of Canada","keywords":"Electroencephalography; Alpha (finance); Cuneus; Neuroscience; Precuneus; Psychology; Posterior cingulate; EEG-fMRI; Brain activity and meditation; Beta Rhythm; Photic Stimulation; Task-positive network; Brain mapping; Default mode network; Cortex (anatomy); Visual perception; Functional magnetic resonance imaging; Developmental psychology","score_opus":0.006905143904296911,"score_gpt":0.23663996383676647,"score_spread":0.22973481993246955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125608055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894418,0.000018586124,0.009335715,0.0002882098,0.0003473162,0.0003017498,0.00011097917,0.000010803995,0.00014480592],"genre_scores_gemma":[0.9995168,0.000018285615,0.00006155017,0.0002956161,0.0000150742335,0.0000023340822,0.000002610644,0.000017117247,0.000070597875],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99758905,0.00033718484,0.00073449744,0.00036294962,0.0007287179,0.00024758943],"domain_scores_gemma":[0.99742424,0.0008549785,0.0010173529,0.00012722747,0.0003778378,0.0001983617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004605056,0.00019986095,0.00045147716,0.000187617,0.00015539168,0.000043885244,0.00023737374,0.00007728414,0.000011100538],"category_scores_gemma":[0.0012591253,0.00014975223,0.00010198233,0.00037999562,0.0008049232,0.00054914394,0.000068518624,0.00029056516,5.445061e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009935466,0.00022961007,0.006662561,0.000018274446,0.0000068677136,0.000014078787,0.000063798536,0.0003409499,0.9903072,0.00037298913,0.000028768434,0.0009613583],"study_design_scores_gemma":[0.0096026035,0.013253802,0.22187778,0.0007255765,0.00023779276,0.00089221436,0.00012326353,0.37682933,0.3749885,0.00094473414,0.00002523155,0.00049918605],"about_ca_topic_score_codex":0.0000028446698,"about_ca_topic_score_gemma":0.0000026393423,"teacher_disagreement_score":0.6153187,"about_ca_system_score_codex":0.000031462958,"about_ca_system_score_gemma":0.00009995165,"threshold_uncertainty_score":0.6106719},"labels":[],"label_agreement":null},{"id":"W2126308802","doi":"10.1109/tnsre.2011.2178614","title":"Electrostimulation as a Prosthesis for Repair of Information Flow in a Computer Model of Neocortex","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Neural Systems and Rehabilitation Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute of Infection and Immunity; SUNY Downstate Medical Center","keywords":"Neuroprosthetics; Neocortex; Neuroscience; Cortex (anatomy); Stimulation; Computer science; Biology","score_opus":0.01534437156885814,"score_gpt":0.20871782006061476,"score_spread":0.1933734484917566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126308802","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5413445,0.0000023006132,0.45793387,0.000013462393,0.00014718779,0.0005043496,0.000015491729,0.000032945965,0.000005862038],"genre_scores_gemma":[0.99487144,0.0000041063977,0.004975192,0.000014093861,0.0000067734,0.000108819484,0.0000012445608,0.00000898674,0.000009358795],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992167,0.000027681135,0.00039889902,0.00014177115,0.00011170477,0.000103288],"domain_scores_gemma":[0.99942166,0.0002944486,0.00010174866,0.000094218725,0.000060897208,0.00002704421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013478052,0.00009411651,0.0001587318,0.00025794495,0.000033753182,0.000008607618,0.000033968452,0.00005464116,0.0000010311469],"category_scores_gemma":[0.000044135602,0.00008616721,0.000080403894,0.0001990664,0.000025184372,0.00037403096,6.657482e-7,0.000067641304,3.446004e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011699517,0.000049610357,0.00003277759,0.00030920486,0.0000031326272,8.0224765e-8,0.0007654355,0.9312212,0.06267082,0.0005944763,0.0000011253319,0.004235174],"study_design_scores_gemma":[0.0003596175,0.000666295,0.00092178525,0.00007471012,0.000007671777,0.0000033673678,0.00002354214,0.9868352,0.01093652,0.000090523055,0.0000039393117,0.00007685312],"about_ca_topic_score_codex":0.000050633535,"about_ca_topic_score_gemma":0.00000327927,"teacher_disagreement_score":0.45352688,"about_ca_system_score_codex":0.000027201599,"about_ca_system_score_gemma":0.000011473509,"threshold_uncertainty_score":0.3513797},"labels":[],"label_agreement":null},{"id":"W2126712529","doi":"10.1017/s0140525x15000667","title":"Norepinephrine ignites local hotspots of neuronal excitation: How arousal amplifies selectivity in perception and memory","year":2015,"lang":"en","type":"article","venue":"Behavioral and Brain Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":725,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"National Institute on Aging","keywords":"Arousal; Neuroscience; Locus coeruleus; Inhibitory postsynaptic potential; Stimulus (psychology); Perception; Glutamate receptor; Psychology; Norepinephrine; Sensory system; Chemistry; Cognitive psychology; Dopamine; Central nervous system","score_opus":0.09851125017304237,"score_gpt":0.31574311662334587,"score_spread":0.2172318664503035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126712529","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99777776,0.00001963997,0.00016635859,0.0016600597,0.00013129308,0.0001305917,0.000008748953,0.00002180063,0.00008376403],"genre_scores_gemma":[0.9994101,0.000012301973,0.00017483614,0.00024268613,0.000032103522,0.000007537824,0.0000016917496,0.000004031554,0.00011473048],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988458,0.000118600154,0.00013745081,0.00039144303,0.000325629,0.00018107191],"domain_scores_gemma":[0.99956685,0.0001699761,0.00007313166,0.0000619856,0.000043477798,0.00008454674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042085437,0.00011068278,0.00013977346,0.00015616829,0.00012882677,0.000099469406,0.000096927935,0.000040076047,0.0000062862564],"category_scores_gemma":[0.00019009512,0.000087047156,0.000019444182,0.00048294629,0.0008976089,0.00053963193,0.000069973044,0.00009480322,8.794437e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007154869,0.00016371527,0.08332797,0.000018847777,4.6094198e-7,0.000012112286,0.0009068305,0.00008239715,0.85994697,0.00068174774,0.00014057061,0.054646835],"study_design_scores_gemma":[0.0005999942,0.0012341735,0.9764786,0.000021450838,0.000006632451,0.00009039096,0.0016571584,0.008739756,0.008019434,0.002868518,0.00006424455,0.00021969892],"about_ca_topic_score_codex":0.00019050173,"about_ca_topic_score_gemma":0.00021276057,"teacher_disagreement_score":0.89315057,"about_ca_system_score_codex":0.0000156079,"about_ca_system_score_gemma":0.00004531919,"threshold_uncertainty_score":0.354968},"labels":[],"label_agreement":null},{"id":"W2127253481","doi":"10.1023/a:1024426903582","title":"Spike Generating Dynamics and the Conditions for Spike-Time Precision in Cortical Neurons","year":2003,"lang":"en","type":"article","venue":"Journal of Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":65,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"National Science Foundation","keywords":"Aperiodic graph; Stimulus (psychology); Spike (software development); Spike train; Time constant; Neuron; Computer science; Neuroscience; Mathematics; Psychology","score_opus":0.023032629899550277,"score_gpt":0.2854782459386307,"score_spread":0.2624456160390804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127253481","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9196205,0.000010242701,0.077406585,0.0018143704,0.0007188842,0.00028352643,0.000017809121,0.000007759211,0.00012030959],"genre_scores_gemma":[0.99617434,0.000014551902,0.0016057916,0.0020546904,0.000050169267,0.0000056043027,0.0000010244709,0.000008892451,0.00008491533],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983307,0.00032326262,0.00048232335,0.00024104129,0.0004306362,0.00019200382],"domain_scores_gemma":[0.9968788,0.0025393385,0.0003000054,0.000080128164,0.000118894655,0.00008281027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008075619,0.00010598785,0.00017915758,0.00014720554,0.00038651205,0.00014979982,0.00020361533,0.000027493612,0.0000075118674],"category_scores_gemma":[0.0045875856,0.00007337079,0.000080177146,0.00038700257,0.00048498675,0.00033214313,0.000035875615,0.00026280672,0.0000014529943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017762076,0.00016735618,0.0004349666,0.000008138125,0.0000012686284,0.000038746795,0.000081961705,0.36787412,0.2610627,0.36837474,0.00016015644,0.0016182043],"study_design_scores_gemma":[0.001193597,0.00023291883,0.005397923,0.000014471553,0.00000744159,0.00056639715,0.00000976098,0.9592293,0.001118135,0.032020852,0.00013065765,0.000078570905],"about_ca_topic_score_codex":5.990755e-7,"about_ca_topic_score_gemma":0.0000015471159,"teacher_disagreement_score":0.59135514,"about_ca_system_score_codex":0.000035649904,"about_ca_system_score_gemma":0.00011128344,"threshold_uncertainty_score":0.54920995},"labels":[],"label_agreement":null},{"id":"W2127254199","doi":"10.1093/brain/awr112","title":"Ingredients for a brain","year":2011,"lang":"en","type":"article","venue":"Brain","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"","keywords":"Neuroscience; Psychology; Medicine","score_opus":0.0849242273604727,"score_gpt":0.27342271237091037,"score_spread":0.18849848501043767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127254199","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.961254,0.000005862201,0.0071709827,0.004880107,0.0014748328,0.000684122,0.00005012953,0.0002090639,0.024270918],"genre_scores_gemma":[0.9810475,0.0000010112161,0.0005904925,0.010623424,0.00010076339,0.000046775993,0.0000037502953,0.000019186486,0.007567063],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99925864,0.000039997052,0.000113664704,0.00027222064,0.000100359415,0.0002150979],"domain_scores_gemma":[0.9994482,0.0002843655,0.000046839,0.0001483724,0.000015573552,0.000056680095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016474731,0.00008121829,0.00007496432,0.000057035144,0.000103590566,0.000020436255,0.00014826802,0.000038444345,0.00008119141],"category_scores_gemma":[0.0012335614,0.00007187088,0.000058317888,0.0001335217,0.00004094661,0.000110399415,0.000037839494,0.00005587274,0.0000678501],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015483603,0.00014795967,0.00043376698,0.000024776631,0.000003898513,0.00001600742,0.0006838667,0.000002222907,0.83078176,0.07365778,0.063779786,0.030313348],"study_design_scores_gemma":[0.0033348291,0.0014722778,0.0145926485,0.000052992888,0.00001675458,0.00008561892,0.00011281016,0.017192371,0.42121556,0.09991263,0.44112155,0.000889951],"about_ca_topic_score_codex":0.000010357958,"about_ca_topic_score_gemma":0.000008694086,"teacher_disagreement_score":0.40956616,"about_ca_system_score_codex":0.000013670957,"about_ca_system_score_gemma":0.000011903011,"threshold_uncertainty_score":0.29308096},"labels":[],"label_agreement":null},{"id":"W2127416152","doi":"10.1109/ccece.2005.1557304","title":"Investigating schizophrenia using local connectivity considerations within the piriform cortex","year":2006,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Pruning; Synaptic pruning; Neuroscience; Schizophrenia (object-oriented programming); Computer science; Piriform cortex; Cortex (anatomy); Neuron; Process (computing); Synapse; Biology; Central nervous system","score_opus":0.04252105996612172,"score_gpt":0.2602095604616625,"score_spread":0.21768850049554078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127416152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97711825,0.0000030588694,0.01677362,0.001080586,0.00033182764,0.00018940192,0.0000061318547,0.00011054635,0.004386594],"genre_scores_gemma":[0.9961727,2.2446602e-7,0.0009658323,0.0025424806,0.00009373007,0.000005171218,0.0000015845657,0.000011115905,0.00020712889],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990583,0.00009692664,0.00021444833,0.000268231,0.00019225923,0.00016980708],"domain_scores_gemma":[0.99889416,0.00074477575,0.00010773135,0.00017671283,0.000035670317,0.000040930736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018889282,0.00011036781,0.000091953734,0.000035611618,0.00075287814,0.00016290309,0.00007376446,0.000040340306,0.00005210803],"category_scores_gemma":[0.00074471283,0.00007209795,0.000039355826,0.00022040635,0.00032928016,0.00022930052,0.000048925165,0.00019266237,0.00001985934],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000036925994,0.000019492272,0.0004264779,0.0000023030511,0.0000010635637,0.000004027281,0.00002570497,0.007218862,0.6635151,0.32833305,0.0002069303,0.00024330722],"study_design_scores_gemma":[0.00031318233,0.000038631937,0.0046280157,0.000010177424,0.000010504726,0.00015688392,0.00010306023,0.70387286,0.19012377,0.10051752,0.00005329574,0.00017212471],"about_ca_topic_score_codex":0.0006124004,"about_ca_topic_score_gemma":0.0010307685,"teacher_disagreement_score":0.69665396,"about_ca_system_score_codex":0.000041192765,"about_ca_system_score_gemma":0.00008839547,"threshold_uncertainty_score":0.5790606},"labels":[],"label_agreement":null},{"id":"W2127442637","doi":"10.1142/s0219635211002865","title":"Computing by physical interaction in neurons","year":2011,"lang":"en","type":"article","venue":"Journal of Integrative Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Human–computer interaction; Cognitive science; Neuroscience; Psychology","score_opus":0.0542966583898994,"score_gpt":0.3076990669529717,"score_spread":0.25340240856307233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127442637","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918657,0.0000039955835,0.0040041045,0.000215784,0.0014728411,0.00007879178,0.0000033214533,0.0000128528945,0.002342635],"genre_scores_gemma":[0.9986236,0.000018758565,0.00009110851,0.001099456,0.000058814123,7.511993e-7,9.053026e-8,0.000008896933,0.00009851724],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985749,0.00021706465,0.0003707624,0.00027939037,0.0003345392,0.00022333037],"domain_scores_gemma":[0.9990275,0.0002779535,0.00041855322,0.000101674894,0.0000848123,0.00008949527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021709887,0.0001483142,0.00021319867,0.00021850754,0.00009557966,0.000057570072,0.00039398548,0.000024329673,0.000010478231],"category_scores_gemma":[0.0014544575,0.00009884329,0.000103718136,0.00063609995,0.00021015867,0.00079452345,0.000060014147,0.0006227097,0.0000060357706],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063685,0.0002687891,0.00065648917,0.0000017400723,3.526519e-7,0.0000705096,0.000925836,0.0000698022,0.9930453,0.0012092151,0.00033040094,0.0033579043],"study_design_scores_gemma":[0.00047750905,0.0019049521,0.014455121,0.00009363792,0.0000068598597,0.00059597264,0.00048228403,0.060673714,0.9182267,0.0017610638,0.0010970666,0.00022510291],"about_ca_topic_score_codex":0.0000150079895,"about_ca_topic_score_gemma":0.0000051656425,"teacher_disagreement_score":0.07481856,"about_ca_system_score_codex":0.000060302358,"about_ca_system_score_gemma":0.000043153137,"threshold_uncertainty_score":0.40307122},"labels":[],"label_agreement":null},{"id":"W2127575938","doi":"10.1101/lm.1942210","title":"Timing in trace conditioning of the nictitating membrane response of the rabbit (<i>Oryctolagus cuniculus</i>): Scalar, nonscalar, and adaptive features","year":2010,"lang":"en","type":"article","venue":"Learning & Memory","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Nictitating membrane; Interstimulus interval; Conditioning; Classical conditioning; Unconditioned stimulus; Conditioned response; Stimulus (psychology); Psychology; Audiology; Chemistry; Mathematics; Statistics; Neuroscience; Cognitive psychology; Medicine; Stimulation","score_opus":0.012752367299684625,"score_gpt":0.23867106508512723,"score_spread":0.2259186977854426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127575938","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980401,0.000047686088,0.00002524965,0.00069985806,0.00041845924,0.00022982812,0.0000050768476,0.000021496417,0.0005122514],"genre_scores_gemma":[0.99879664,0.0000074214922,0.0001519341,0.00017684736,0.000023991446,0.000007187055,4.2375237e-7,0.000017938319,0.00081763463],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981619,0.0007929877,0.00026754948,0.0002848591,0.00029358678,0.00019912292],"domain_scores_gemma":[0.99764204,0.0016946249,0.0003188894,0.0002673469,0.000042655898,0.000034417262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090064696,0.00012979672,0.00018817579,0.00008343276,0.00035357216,0.000029015508,0.00026774153,0.000084547435,0.000018774575],"category_scores_gemma":[0.004041575,0.00008597907,0.00009034703,0.000419253,0.0003701575,0.00014738305,0.00016082171,0.0010436142,0.0000011267069],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018615053,0.000025319601,0.00445125,0.00002103292,0.0000029787836,0.0000033237786,0.0011035529,0.004693634,0.9879087,0.0005162492,0.000010311564,0.001077467],"study_design_scores_gemma":[0.00057833776,0.000082360406,0.24786921,0.00019756019,0.000019125033,0.00007140368,0.0006565297,0.012288714,0.7379051,0.00014242387,0.00005981349,0.00012943357],"about_ca_topic_score_codex":0.00006391929,"about_ca_topic_score_gemma":0.00011688291,"teacher_disagreement_score":0.25000364,"about_ca_system_score_codex":0.000016506721,"about_ca_system_score_gemma":0.000047448535,"threshold_uncertainty_score":0.48384345},"labels":[],"label_agreement":null},{"id":"W2127717328","doi":"10.1155/np.2002.161","title":"Different Modes of Pitch Perception and Learning‐InducedNeuronal Plasticity of the Human Auditory Cortex","year":2002,"lang":"en","type":"article","venue":"Neural Plasticity","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"Deutsche Forschungsgemeinschaft","keywords":"Auditory cortex; Perception; Neuroscience; Psychology; Tonotopy; Audiology; Communication; Medicine","score_opus":0.034716932756502526,"score_gpt":0.2351025590842285,"score_spread":0.20038562632772597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127717328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99890715,0.0000023999874,0.00007987599,0.000079390964,0.0004057731,0.00015340264,0.000026183883,0.000033388813,0.000312414],"genre_scores_gemma":[0.99948555,0.000011462902,0.0000043371415,0.00008395741,0.00009529281,0.0000036389474,9.187068e-7,0.000013339841,0.00030149313],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985373,0.00022086987,0.00029195508,0.000344822,0.00039975677,0.00020528678],"domain_scores_gemma":[0.9989548,0.00059216394,0.00023500882,0.00010899338,0.00004241823,0.0000666351],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000042271065,0.00017506181,0.00022683917,0.000056555495,0.0003075715,0.000021572032,0.00018598777,0.0000707922,0.00013347768],"category_scores_gemma":[0.000624216,0.00011996785,0.00008797032,0.00012787466,0.00035415284,0.0001192606,0.00013904404,0.00045972253,0.0000036462727],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002654714,0.00012479536,0.0057015866,0.000044085235,0.0000024813223,0.0000013254104,0.000089434914,0.0014547945,0.9916733,0.00035517136,0.000110273555,0.00041618952],"study_design_scores_gemma":[0.00034267982,0.0003737114,0.69032323,0.000028057762,0.000025417321,0.000016366006,0.000025531734,0.22365724,0.08494943,0.00011579078,0.000017372184,0.0001251489],"about_ca_topic_score_codex":0.000022918462,"about_ca_topic_score_gemma":0.0000124885,"teacher_disagreement_score":0.90672386,"about_ca_system_score_codex":0.00002553231,"about_ca_system_score_gemma":0.0000052165997,"threshold_uncertainty_score":0.4892147},"labels":[],"label_agreement":null},{"id":"W2127806105","doi":"10.1146/annurev.neuro.26.041002.131112","title":"I<scp>NFERENCE AND</scp>C<scp>OMPUTATION WITH</scp>P<scp>OPULATION</scp>C<scp>ODES</scp>","year":2003,"lang":"en","type":"review","venue":"Annual Review of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":447,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Sensory system; Neuroscience; Stimulus (psychology); Population; Computer science; Biology; Psychology; Medicine","score_opus":0.0520402651901007,"score_gpt":0.32165344417186187,"score_spread":0.2696131789817612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127806105","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006163614,0.9739919,0.002082978,0.00010744827,0.0036251603,0.0056194593,0.000893909,0.000471324,0.00704422],"genre_scores_gemma":[0.0013357458,0.9845959,0.0004492144,0.004830931,0.00029093903,0.00035799947,0.00015371517,0.00026764264,0.0077179205],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9849656,0.0020316837,0.0031762552,0.004378124,0.0032292376,0.0022190784],"domain_scores_gemma":[0.9818759,0.009955313,0.0042335875,0.0020498272,0.00090983656,0.0009755637],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0022424588,0.0022233177,0.004039289,0.0010124772,0.001105425,0.00074044376,0.0027731813,0.00070335,0.0000066189214],"category_scores_gemma":[0.040152524,0.0017984768,0.0010546233,0.006280812,0.0015898519,0.0023016154,0.00085187936,0.0019781783,0.00022322546],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000069340203,0.0022101894,0.0004995294,0.19197866,0.0001482687,0.001125013,0.002164927,0.0006348164,0.008858407,0.023218926,0.08237384,0.6867805],"study_design_scores_gemma":[0.00038270437,0.0009913391,0.0005323899,0.022937845,0.0005995223,0.0010285445,0.00012279728,0.00089580426,0.0002738603,0.00052137335,0.97148126,0.00023256535],"about_ca_topic_score_codex":0.00003172276,"about_ca_topic_score_gemma":0.000010066332,"teacher_disagreement_score":0.8891074,"about_ca_system_score_codex":0.00023248837,"about_ca_system_score_gemma":0.0010504692,"threshold_uncertainty_score":0.9990507},"labels":[],"label_agreement":null},{"id":"W2127815213","doi":"10.1162/neco_a_00084","title":"Suitability of V1 Energy Models for Object Classification","year":2010,"lang":"en","type":"article","venue":"Neural Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Massachusetts Institute of Technology","keywords":"Categorization; Computer science; Simple (philosophy); Computational model; Artificial intelligence; Computation; Computational complexity theory; Machine learning; Filter (signal processing); Simple cell; Models of neural computation; Cognitive neuroscience of visual object recognition; Object (grammar); Artificial neural network; Pattern recognition (psychology); Algorithm; Computer vision","score_opus":0.058539143309061736,"score_gpt":0.2910330816414865,"score_spread":0.23249393833242477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127815213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8958518,0.000001694009,0.10225668,0.00032462738,0.0007658317,0.00021717625,0.000019628324,0.000060586597,0.0005019969],"genre_scores_gemma":[0.9988968,0.0000016491393,0.00070543203,0.0002064127,0.000068776026,0.000025872776,0.000029586487,0.0000112385715,0.0000542793],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912196,0.00005873748,0.00023018151,0.00029422776,0.00016629501,0.00012856945],"domain_scores_gemma":[0.999165,0.00039701303,0.00014908714,0.00013830472,0.00011496594,0.00003562237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012283257,0.00008641379,0.000106152846,0.00006603278,0.00009900295,0.000028060329,0.00010276313,0.000058024885,0.0000051758448],"category_scores_gemma":[0.00022654638,0.000079400095,0.00007045266,0.00017406729,0.000056950066,0.0002648566,0.000019206429,0.00009509297,0.0000013666028],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050572526,0.000046986777,0.00008831914,0.000015892414,7.562654e-7,1.516014e-7,0.000029174147,0.010728702,0.91078126,0.04099014,0.00005549473,0.03721253],"study_design_scores_gemma":[0.00020038884,0.00011186098,0.0039512524,0.0000015876473,0.00000441554,0.000003681132,0.0000055577575,0.8555088,0.09832166,0.041734643,0.00008709059,0.00006904605],"about_ca_topic_score_codex":0.000024970775,"about_ca_topic_score_gemma":0.000035447403,"teacher_disagreement_score":0.8447801,"about_ca_system_score_codex":0.000014280416,"about_ca_system_score_gemma":0.000019966605,"threshold_uncertainty_score":0.3237842},"labels":[],"label_agreement":null},{"id":"W2127863889","doi":"10.1016/j.neuron.2015.09.035","title":"Input- and Output-Specific Regulation of Serial Order Performance by Corticostriatal Circuits","year":2015,"lang":"en","type":"article","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":150,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Mental Health; National Institute on Drug Abuse; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Neuroscience; Basal ganglia; Synapse; Excitatory postsynaptic potential; Striatum; Medium spiny neuron; Indirect pathway of movement; Biological neural network; Direct pathway of movement; Psychology; Biology; Inhibitory postsynaptic potential; Central nervous system","score_opus":0.04382051654735728,"score_gpt":0.23229403967140888,"score_spread":0.1884735231240516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127863889","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99788475,0.00001762529,0.00012651447,0.00015018179,0.00094134075,0.00014884183,0.000015868318,0.000033680524,0.0006812156],"genre_scores_gemma":[0.9991807,0.000054409673,0.000012695125,0.00016264318,0.00008472277,0.0000028543884,0.000009702145,0.000012570613,0.0004797199],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99913055,0.00005230822,0.00017871436,0.00026759642,0.00023670023,0.00013415834],"domain_scores_gemma":[0.9995768,0.000046709465,0.00010327532,0.00015330262,0.000048846854,0.000071029375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008105168,0.00008978354,0.00010404119,0.00004263012,0.000050881477,0.000033051023,0.000076202356,0.000043428394,0.000008387939],"category_scores_gemma":[0.00016343912,0.00008352725,0.000014583053,0.00018655059,0.0000639416,0.00024399505,0.000042586216,0.0000883759,0.000012562996],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008965846,0.000038108992,0.0011590347,0.000011275929,6.6151273e-7,0.0000013967039,0.00006206742,0.00016261346,0.97609097,0.00023693012,0.0030553006,0.019091984],"study_design_scores_gemma":[0.0040460844,0.0022630342,0.14042412,0.000036834255,0.000021369824,0.00010940448,0.000029588437,0.0520054,0.75623786,0.00048248458,0.04380389,0.0005399143],"about_ca_topic_score_codex":0.0000047822577,"about_ca_topic_score_gemma":7.863245e-7,"teacher_disagreement_score":0.21985309,"about_ca_system_score_codex":0.000015928877,"about_ca_system_score_gemma":0.000019286903,"threshold_uncertainty_score":0.34061426},"labels":[],"label_agreement":null},{"id":"W2128005859","doi":"10.1088/1741-2560/7/3/036002","title":"System characterization of neuronal excitability in the hippocampus and its relevance to observed dynamics of spontaneous seizure-like transitions","year":2010,"lang":"en","type":"article","venue":"Journal of Neural Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Hippocampus; Neuroscience; Relevance (law); Psychology; Dynamics (music); Epilepsy; Electroencephalography; Cognitive psychology","score_opus":0.015091518374761251,"score_gpt":0.20798755055845047,"score_spread":0.19289603218368923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128005859","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977406,0.0000057863977,0.000699012,0.00061520544,0.0007337104,0.00016486211,0.000027652179,0.000009164145,0.0000039829547],"genre_scores_gemma":[0.9997763,0.000009549551,0.000081386504,0.00006779809,0.000048259528,0.0000020996217,0.00000138638,0.0000103895445,0.0000028319498],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990222,0.000059647253,0.0004445055,0.00012067681,0.00023142349,0.000121563295],"domain_scores_gemma":[0.9993082,0.00024942358,0.00020068348,0.00011038211,0.00007877974,0.000052482068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025396064,0.000099142366,0.00020058484,0.00012102183,0.000028713692,0.000017013357,0.00017067423,0.000042313124,0.0000014967234],"category_scores_gemma":[0.00032329565,0.000075728094,0.00006091902,0.0002857123,0.000018917784,0.00020642496,0.000016294327,0.00034429345,1.4745179e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006317626,0.00003031741,0.000095726406,0.000118318574,0.000001624439,0.000077758734,0.00014365434,0.011443288,0.98664033,0.0005555266,2.1367309e-7,0.0008300359],"study_design_scores_gemma":[0.00037407107,0.0003876521,0.1429409,0.00013125438,0.000018889277,0.0036925296,0.000053511092,0.8400499,0.012125713,0.00007574781,0.000019781646,0.00013001748],"about_ca_topic_score_codex":0.0000018190258,"about_ca_topic_score_gemma":0.00001867173,"teacher_disagreement_score":0.97451466,"about_ca_system_score_codex":0.00002734011,"about_ca_system_score_gemma":0.000015119488,"threshold_uncertainty_score":0.3088102},"labels":[],"label_agreement":null},{"id":"W2128107373","doi":"10.1016/j.neuron.2007.07.003","title":"Neural Dynamics of Event Segmentation in Music: Converging Evidence for Dissociable Ventral and Dorsal Networks","year":2007,"lang":"en","type":"article","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":200,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Segmentation; Neuroscience; Dorsum; Task-positive network; Stimulus (psychology); Psychology; Salient; Sensory system; Cognitive psychology; Communication; Computer science; Artificial intelligence; Biology; Functional connectivity; Anatomy; Default mode network","score_opus":0.0395146875265281,"score_gpt":0.3036552952840097,"score_spread":0.2641406077574816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128107373","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98870945,0.000037153834,0.0098741315,0.00023574555,0.0007139005,0.0003744061,0.000006490455,0.000019217952,0.000029493185],"genre_scores_gemma":[0.9994456,0.000039648465,0.00005590351,0.00032556406,0.000044857006,0.000008805186,0.0000066776624,0.000013124571,0.000059820093],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990164,0.000048948525,0.0002474503,0.00027376952,0.00014452031,0.00026890746],"domain_scores_gemma":[0.9991581,0.0005726341,0.00012719023,0.000086380416,0.00001781928,0.000037878162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027024685,0.00009556807,0.00011888649,0.00006625926,0.00006844489,0.000024220408,0.00007832084,0.00004219975,0.0000057249267],"category_scores_gemma":[0.0002220008,0.00009566894,0.000040108927,0.00018984059,0.000051009487,0.00023694437,0.00003797228,0.000116398456,2.9742677e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011518794,0.00021756934,0.073173776,0.00020989767,0.000004875842,0.00005137288,0.0004360632,0.033210225,0.74824435,0.0061108987,0.00007997112,0.13710912],"study_design_scores_gemma":[0.0006212762,0.00029375567,0.081752904,0.000051786064,0.000010563001,0.000010353538,0.000051381572,0.90230775,0.014386531,0.00035525655,0.00003844252,0.0001200003],"about_ca_topic_score_codex":0.00004139207,"about_ca_topic_score_gemma":0.00015002729,"teacher_disagreement_score":0.86909753,"about_ca_system_score_codex":0.000070760165,"about_ca_system_score_gemma":0.000009543673,"threshold_uncertainty_score":0.39012662},"labels":[],"label_agreement":null},{"id":"W2128500031","doi":"10.1167/10.7.91","title":"Event-related potential evidence for a dual-locus model of global/local processing","year":2010,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Event-related potential; Perception; Psychology; Cognitive psychology; Visual processing; Computer science; Communication; Electroencephalography; Neuroscience","score_opus":0.031276675709384076,"score_gpt":0.33404089089142264,"score_spread":0.30276421518203855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128500031","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9014286,0.000047409823,0.09689631,0.00073149166,0.0007384833,0.00011432686,0.0000061501423,0.000008130991,0.000029109891],"genre_scores_gemma":[0.99857855,0.000023261158,0.0011487367,0.000091479225,0.00008257181,8.141101e-7,2.1507842e-7,0.000008283531,0.000066093075],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987877,0.000034351586,0.00048005642,0.00015169111,0.00040241593,0.00014376092],"domain_scores_gemma":[0.99893004,0.00009194542,0.00056692836,0.00009642992,0.00023685838,0.00007781691],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041592005,0.00008850209,0.00016746232,0.00005568146,0.00009905201,0.00004285509,0.00015742388,0.000085034226,0.000008300699],"category_scores_gemma":[0.0006308989,0.000065052685,0.00015409618,0.00019065676,0.00007415105,0.00053108396,0.000039961156,0.00023471081,0.0000014819614],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031335806,0.000088248424,0.000030739884,0.000027080987,0.0000021394321,0.0000095334835,0.000018310706,0.01667992,0.96088076,0.00043443925,0.00013701568,0.02137844],"study_design_scores_gemma":[0.0007061616,0.0006659184,0.0010037611,0.00024471284,0.000033743843,0.0002931258,0.000010478928,0.93280023,0.056470513,0.0076605566,0.000025446423,0.00008535434],"about_ca_topic_score_codex":0.0000021821793,"about_ca_topic_score_gemma":0.0000027419894,"teacher_disagreement_score":0.9161203,"about_ca_system_score_codex":0.000035622397,"about_ca_system_score_gemma":0.00013356975,"threshold_uncertainty_score":0.26527715},"labels":[],"label_agreement":null},{"id":"W2128550512","doi":"10.1186/1471-2202-14-s1-p386","title":"Attractor dynamics in local neuronal networks","year":2013,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"University of Ottawa","keywords":"Limit cycle; Neuroscience; Computer science; Attractor; Population; Stimulus (psychology); Excitatory postsynaptic potential; Network dynamics; Biological neural network; Physics; Inhibitory postsynaptic potential; Psychology; Mathematics; Nonlinear system; Cognitive psychology","score_opus":0.03342826804271978,"score_gpt":0.24667576798650573,"score_spread":0.21324749994378595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128550512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9533894,0.0000050289846,0.041809496,0.00050094357,0.001982878,0.00044323722,0.0000067090205,0.00013111795,0.0017312072],"genre_scores_gemma":[0.9950345,0.000016679322,0.00007566544,0.003914248,0.00006864224,0.000042706957,0.0000016382448,0.000024258163,0.0008216392],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975732,0.00016119094,0.000321215,0.00086083694,0.00043934947,0.0006442297],"domain_scores_gemma":[0.99898916,0.00034289746,0.00010322009,0.0003553383,0.000027422484,0.00018197989],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015024205,0.00021490782,0.00016915181,0.00015502905,0.00018452179,0.0002220069,0.0006018211,0.00007292324,0.00006972436],"category_scores_gemma":[0.00053575024,0.00019351984,0.00007123426,0.0009879319,0.00041580456,0.000747807,0.00018465465,0.00040368328,0.00013012164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007502369,0.00061523175,0.083624676,0.0000389747,4.1151068e-7,0.00013218362,0.000036618687,0.110995255,0.7369204,0.036265343,0.0009950894,0.030300751],"study_design_scores_gemma":[0.00018796191,0.00010124465,0.14716715,0.000006982186,0.0000010161972,0.000045226687,0.000012288903,0.8495242,0.0019763384,0.00045121988,0.00033469222,0.00019167711],"about_ca_topic_score_codex":0.00009551558,"about_ca_topic_score_gemma":0.00017270006,"teacher_disagreement_score":0.73852897,"about_ca_system_score_codex":0.00012987002,"about_ca_system_score_gemma":0.000057919115,"threshold_uncertainty_score":0.789151},"labels":[],"label_agreement":null},{"id":"W2128589492","doi":"10.1007/s00422-008-0264-7","title":"Firing patterns in the adaptive exponential integrate-and-fire model","year":2008,"lang":"en","type":"article","venue":"Biological Cybernetics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":337,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; European Commission","keywords":"Bursting; Biological neuron model; Computer science; Simple (philosophy); Exponential function; Exponential growth; Statistical physics; Biological system; Constant (computer programming); Control theory (sociology); Mathematics; Artificial intelligence; Artificial neural network; Physics; Neuroscience; Mathematical analysis","score_opus":0.12139770883942555,"score_gpt":0.2590755533143963,"score_spread":0.13767784447497075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128589492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978097,0.000037376103,0.0010827028,0.0002741289,0.00008359501,0.00013580584,0.000011679399,0.000026932219,0.0005380728],"genre_scores_gemma":[0.9983644,0.000363744,0.000106796295,0.0009963103,0.000044243065,0.000013864047,0.000002786342,0.000004891493,0.00010296638],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915004,0.000121937104,0.00014117098,0.0002769424,0.00011947179,0.00019043514],"domain_scores_gemma":[0.99960566,0.0002043717,0.000036463873,0.00011089152,0.000009351084,0.000033287575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000091561305,0.00010824183,0.000101150785,0.000020032865,0.00010978636,0.00002088795,0.00018338715,0.00008039544,0.000011585159],"category_scores_gemma":[0.00015102242,0.00005856605,0.00003771018,0.00009676488,0.0001532579,0.00003724108,0.00008596152,0.0002221103,0.000009814061],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008737472,0.0014289122,0.15125671,0.00002760147,0.00001602184,0.0011575825,0.006926948,0.010175161,0.5802116,0.13966477,0.0011317568,0.107129194],"study_design_scores_gemma":[0.00060165545,0.0007671872,0.16936867,0.000024402323,0.000006422152,0.00019675704,0.00017756087,0.8073695,0.006125778,0.01449093,0.00046990707,0.00040128123],"about_ca_topic_score_codex":0.000020191386,"about_ca_topic_score_gemma":0.000012015075,"teacher_disagreement_score":0.7971943,"about_ca_system_score_codex":0.000013770977,"about_ca_system_score_gemma":0.0000069869466,"threshold_uncertainty_score":0.23882543},"labels":[],"label_agreement":null},{"id":"W2128693512","doi":"10.1007/s00221-006-0459-x","title":"Temporal uncertainty does not affect response latencies of movements produced during startle reactions","year":2006,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Affect (linguistics); Psychology; Neuroscience; Audiology; Startle response; Medicine; Communication","score_opus":0.06963112029707885,"score_gpt":0.3717012058860658,"score_spread":0.30207008558898696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128693512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968479,0.000018111728,0.0000025267295,0.0014586723,0.00025187316,0.0006421801,0.000055904136,0.0000725826,0.000650215],"genre_scores_gemma":[0.9840917,0.0000031905263,0.000038506678,0.00008985274,0.00009459357,0.00009857534,0.000011154151,0.0000263528,0.01554607],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9967353,0.00086373725,0.00033046433,0.00058302184,0.00097141793,0.00051608856],"domain_scores_gemma":[0.99846596,0.00087778893,0.00009250996,0.00039808682,0.00008343674,0.00008223612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00130924,0.00015866896,0.00017098029,0.00030792714,0.0005032617,0.00008244343,0.00027016745,0.000059582086,0.00017071221],"category_scores_gemma":[0.0009293084,0.00012271808,0.00008477296,0.00056809076,0.0003565663,0.00026269062,0.00023064406,0.0002949516,0.000037243062],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015820652,0.00034618628,0.0011685828,0.000025721485,0.0000039297106,0.000027654469,0.00020357987,0.00012657791,0.99571306,0.0003817223,0.0003830782,0.00003781857],"study_design_scores_gemma":[0.0006195499,0.00038428235,0.011506471,0.00002728906,6.9093016e-7,0.0000066098114,0.00053812325,0.00074071536,0.98516446,0.00022052435,0.0006544178,0.00013683469],"about_ca_topic_score_codex":0.0015224891,"about_ca_topic_score_gemma":0.000048960745,"teacher_disagreement_score":0.014895855,"about_ca_system_score_codex":0.00027094316,"about_ca_system_score_gemma":0.00007424472,"threshold_uncertainty_score":0.50042975},"labels":[],"label_agreement":null},{"id":"W2128752252","doi":"10.1080/000164800750001044","title":"Local Haemodynamic Changes Associated with Neural Activity in Auditory Cortex","year":2000,"lang":"en","type":"article","venue":"Acta Oto-Laryngologica","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children","funders":"Medical Research Council","keywords":"Auditory cortex; Hemodynamics; Neuroscience; Stimulus (psychology); Stimulation; Cortex (anatomy); Neural activity; Haemodynamic response; Evoked activity; Visual cortex; Psychology; Medicine; Internal medicine; Blood pressure","score_opus":0.020374641500285368,"score_gpt":0.22961014791058787,"score_spread":0.2092355064103025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128752252","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948254,0.000007929789,0.000030094028,0.0012067348,0.0002832569,0.00043524604,0.000040990464,0.00022393811,0.0029464113],"genre_scores_gemma":[0.9966729,0.000071110306,0.0000065520358,0.0018529504,0.00007210691,0.000060681992,0.000023168874,0.000028467122,0.0012120302],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9978509,0.00032631351,0.00017784337,0.00072315097,0.0003394275,0.0005823741],"domain_scores_gemma":[0.99895555,0.00045375605,0.00013371833,0.00032664035,0.00002316239,0.00010716148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017497524,0.00028693667,0.00032934028,0.00011792432,0.0001894868,0.000048709157,0.00034243142,0.00020614469,0.0005921315],"category_scores_gemma":[0.00024076147,0.00021800077,0.000063069834,0.0005531912,0.00024722636,0.00029150373,0.00007185972,0.00051966676,0.000073078976],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073563127,0.0007772885,0.0043454343,0.000015377582,0.000016787708,0.0007643521,0.00008887902,0.00076115236,0.94574326,0.000104834755,0.0007491718,0.04589785],"study_design_scores_gemma":[0.0010046485,0.0012481934,0.85726726,0.000042837823,0.000018266655,0.000088458175,0.000016599764,0.13210632,0.0061034244,0.00020879306,0.0013708711,0.0005243063],"about_ca_topic_score_codex":0.00010823313,"about_ca_topic_score_gemma":0.00070397876,"teacher_disagreement_score":0.9396398,"about_ca_system_score_codex":0.00015736277,"about_ca_system_score_gemma":0.000032800683,"threshold_uncertainty_score":0.88898134},"labels":[],"label_agreement":null},{"id":"W2129040145","doi":"10.1080/00207450390212069","title":"Brief Note: MATHEMATICS AND THE GAP JUNCTIONS: IN-PHASE SYNCHRONIZATION OF IDENTICAL NEURONS","year":2003,"lang":"en","type":"review","venue":"International Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Gap junction; Coupling (piping); Synchronization (alternating current); Neuroscience; Electrical Synapses; Physics; Class (philosophy); Phase (matter); Intracellular; Computer science; Topology (electrical circuits); Biology; Mathematics; Artificial intelligence; Quantum mechanics; Materials science; Combinatorics","score_opus":0.07375336013778391,"score_gpt":0.3817013971006225,"score_spread":0.30794803696283857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129040145","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0046013165,0.88187885,0.06612524,0.003112243,0.039097182,0.0030758134,0.00022773014,0.000055765042,0.0018258644],"genre_scores_gemma":[0.006840114,0.99216,0.00017872076,0.0005191998,0.0001218765,0.0000074586465,0.0000012504223,0.000023650276,0.00014768429],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99687636,0.00032369827,0.0013476032,0.00031625002,0.0009614702,0.00017462103],"domain_scores_gemma":[0.9967536,0.0012325004,0.001531725,0.00019994398,0.00020961398,0.000072622184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078064995,0.00022068837,0.0006870302,0.0004867299,0.00008415917,0.00018806581,0.00089100224,0.00008061154,0.000008179928],"category_scores_gemma":[0.006491639,0.00014069253,0.0002669657,0.00066694675,0.0006544026,0.00040398422,0.00014892739,0.0005404756,0.0000026114053],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002110212,0.0018083177,0.000012998637,0.0017889617,0.0000320709,0.00084167335,0.0002639366,0.00024300827,0.0117118815,0.111006305,0.0004344991,0.87164533],"study_design_scores_gemma":[0.008443444,0.0012459329,0.00010819918,0.013358404,0.0008038923,0.027339531,0.00004775028,0.06247058,0.00030505686,0.0141520435,0.870723,0.0010021414],"about_ca_topic_score_codex":0.0000028709474,"about_ca_topic_score_gemma":0.0000016520057,"teacher_disagreement_score":0.8706432,"about_ca_system_score_codex":0.000083631385,"about_ca_system_score_gemma":0.00024813315,"threshold_uncertainty_score":0.7771567},"labels":[],"label_agreement":null},{"id":"W2129216714","doi":"10.3389/fnhum.2013.00791","title":"Region-Specific Slowing of Alpha Oscillations is Associated with Visual-Perceptual Abilities in Children Born Very Preterm","year":2013,"lang":"en","type":"article","venue":"Frontiers in Human Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Child and Family Research Institute; Simon Fraser University; University of Toronto; Hospital for Sick Children","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Child Health and Human Development; Natural Sciences and Engineering Research Council of Canada; Epilepsy Research Program of the Ontario Brain Institute; National Institutes of Health; Child and Family Research Institute; Leading Edge Endowment Fund; Ontario Brain Institute","keywords":"Alpha (finance); Perception; Psychology; Neuroscience; Visual perception; Thalamus; Visual processing; Population; Developmental psychology; Audiology; Medicine","score_opus":0.022133189706970688,"score_gpt":0.23616363712538527,"score_spread":0.2140304474184146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129216714","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971976,0.000018373892,0.0009517564,0.00012632407,0.0006132724,0.00064299663,0.000013763763,0.000056569414,0.00037930315],"genre_scores_gemma":[0.9988333,0.00004204466,0.00008512875,0.00052169675,0.000024130753,0.000041661406,0.000003857164,0.000024480649,0.00042369182],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975227,0.00019394456,0.00045474325,0.00081346557,0.00052861904,0.00048653374],"domain_scores_gemma":[0.9991907,0.00013360805,0.00019526239,0.000349907,0.000049856328,0.00008066429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019596654,0.00022410523,0.00030478687,0.00048011236,0.00026458286,0.00013562299,0.00047031083,0.000080428836,0.00002337294],"category_scores_gemma":[0.0003504784,0.00020478152,0.000066920766,0.0012041855,0.00083776953,0.0009236783,0.000102117214,0.0002977306,0.0000015277234],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028123844,0.0002607558,0.77898604,0.000011719848,0.0000021889796,0.000016756836,0.0013376382,0.0016998487,0.2143193,0.00039875077,0.0019936922,0.0009451802],"study_design_scores_gemma":[0.0007025748,0.00040270577,0.96710765,0.00010109714,0.0000042677434,0.000017198163,0.00021654606,0.023248972,0.0066447505,0.0011473187,0.000065010325,0.0003418948],"about_ca_topic_score_codex":0.000091925045,"about_ca_topic_score_gemma":0.000017614326,"teacher_disagreement_score":0.20767455,"about_ca_system_score_codex":0.00014484812,"about_ca_system_score_gemma":0.000042043735,"threshold_uncertainty_score":0.83507484},"labels":[],"label_agreement":null},{"id":"W2129922320","doi":"10.1162/jocn_a_00253","title":"The Neural Basis of Vivid Memory Is Patterned on Perception","year":2012,"lang":"en","type":"article","venue":"Journal of Cognitive Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital","funders":"Canadian Institutes of Health Research","keywords":"Psychology; Perception; Recall; Stimulus (psychology); Cognitive psychology; Sensory memory; Episodic memory; Neuroscience; Cognition; Working memory","score_opus":0.04671161366842238,"score_gpt":0.297190136479311,"score_spread":0.2504785228108886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129922320","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948185,0.000016554382,0.00035144936,0.0014267113,0.0023769818,0.00013296734,0.000015557696,0.000008279776,0.00085301144],"genre_scores_gemma":[0.99248236,0.00013640933,0.0000060814154,0.006883625,0.00021732756,0.0000022073943,1.249206e-7,0.000011658934,0.00026021546],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99792,0.00029697604,0.00041360693,0.00020586864,0.0008234416,0.00034012704],"domain_scores_gemma":[0.9977347,0.0011815758,0.00059998885,0.0001387297,0.0002011706,0.00014379174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006385887,0.00014191057,0.00017367229,0.00014154261,0.00033223914,0.00007689204,0.00037434776,0.000034370612,0.000036640227],"category_scores_gemma":[0.0025260278,0.00008773271,0.00016557577,0.00041215957,0.00040689608,0.000703598,0.00006561136,0.00033517566,0.000014747708],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021003732,0.00017189048,0.0023833413,0.000005393603,0.0000013797574,0.000010162947,0.00038422784,0.000019180796,0.9641232,0.000088509296,0.0002483269,0.032354355],"study_design_scores_gemma":[0.0007836071,0.002018778,0.31547493,0.000119115575,0.000043102722,0.00046002708,0.00048630623,0.00378869,0.67562765,0.00019164283,0.0007804418,0.00022568907],"about_ca_topic_score_codex":0.0000018552872,"about_ca_topic_score_gemma":4.6435346e-7,"teacher_disagreement_score":0.31309158,"about_ca_system_score_codex":0.000028789344,"about_ca_system_score_gemma":0.000034763692,"threshold_uncertainty_score":0.35776362},"labels":[],"label_agreement":null},{"id":"W2130154810","doi":"10.3389/fnint.2012.00103","title":"Neuronal function is necessary but not sufficient for consciousness: consciousness is necessary for will","year":2012,"lang":"en","type":"article","venue":"Frontiers in Integrative Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Shores Centre for Mental Health Sciences; The Scarborough Hospital; University of Toronto","funders":"","keywords":"Consciousness; Function (biology); Psychology; Cognitive science; Neuroscience; Cognitive psychology; Biology","score_opus":0.03001934986061575,"score_gpt":0.27651953130542417,"score_spread":0.24650018144480842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130154810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6335301,0.00012833509,0.33458394,0.0038365575,0.023557357,0.002569609,0.0011615348,0.00017531512,0.00045726835],"genre_scores_gemma":[0.97086096,0.00008941095,0.0012053003,0.024498722,0.00029541136,0.0005673275,0.00001905262,0.000067518384,0.002396298],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.995451,0.0002569956,0.0006943946,0.0015578964,0.0007352341,0.0013044773],"domain_scores_gemma":[0.99759334,0.0009302342,0.0004102811,0.0005046949,0.00025310964,0.00030835005],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006874301,0.00058171997,0.000588317,0.00052191137,0.0008404314,0.00025276848,0.0008749021,0.00019210928,0.000032412456],"category_scores_gemma":[0.0019970476,0.00049078517,0.00029371088,0.0012422529,0.0011597165,0.0018751511,0.00017540363,0.00052283145,0.000009189805],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020862014,0.0011689047,0.023942428,0.00017631153,0.000012092813,0.000011036768,0.0029528253,0.0003890681,0.80321187,0.013104484,0.14572178,0.007222988],"study_design_scores_gemma":[0.0040765777,0.0028714049,0.019841788,0.0001764446,0.000115287345,0.00008308959,0.0047621615,0.24317594,0.6110514,0.008588992,0.1032551,0.0020018113],"about_ca_topic_score_codex":0.000029221117,"about_ca_topic_score_gemma":0.000012362476,"teacher_disagreement_score":0.33733088,"about_ca_system_score_codex":0.00020770465,"about_ca_system_score_gemma":0.00020072851,"threshold_uncertainty_score":0.99975437},"labels":[],"label_agreement":null},{"id":"W2130167438","doi":"10.1109/jproc.2014.2311211","title":"On Cognitive Dynamic Systems: Cognitive Neuroscience and Engineering Learning From Each Other","year":2014,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Reinforcement learning; Computer science; Cognition; Cognitive neuroscience; Dynamic programming; Artificial intelligence; Perception; Computational neuroscience; Neural coding; Cognitive science; Bayesian inference; Machine learning; Bayesian probability; Theoretical computer science; Psychology; Algorithm; Neuroscience","score_opus":0.015772296619332125,"score_gpt":0.22073065583582005,"score_spread":0.20495835921648792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130167438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99739844,0.000010907912,0.00043977814,0.00007297953,0.0005422781,0.00022447782,0.000012313881,0.00005607193,0.0012427354],"genre_scores_gemma":[0.9992098,0.000008779651,0.0000061387877,0.0003792502,0.000044330594,0.000012946128,2.184058e-7,0.00002112218,0.00031738167],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902236,0.000018928917,0.00013981356,0.0003744931,0.0002598842,0.00018451041],"domain_scores_gemma":[0.9991733,0.0005078065,0.00016362568,0.00004015696,0.00006985286,0.000045248067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017045935,0.00013523563,0.00014045807,0.00006328206,0.00017390994,0.00009526938,0.0001788851,0.000041914565,0.0000017213479],"category_scores_gemma":[0.0020875381,0.00009830677,0.000036892332,0.00020746382,0.00012210451,0.00017257224,0.000063915286,0.00025326226,0.0000049604155],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041866548,0.000021051444,0.0011447853,0.000043060427,0.0000023410373,2.5067916e-7,0.0001591293,0.0002864928,0.9963781,0.0013904012,0.0000086136,0.0005238597],"study_design_scores_gemma":[0.000794398,0.00050178496,0.014364556,0.0010839321,0.000050965235,0.000024368226,0.000274107,0.6477008,0.3337014,0.0010061467,0.00013969372,0.00035784754],"about_ca_topic_score_codex":0.000024058068,"about_ca_topic_score_gemma":4.8181425e-7,"teacher_disagreement_score":0.66267675,"about_ca_system_score_codex":0.00001528183,"about_ca_system_score_gemma":0.0000051411266,"threshold_uncertainty_score":0.40088338},"labels":[],"label_agreement":null},{"id":"W2130182339","doi":"10.1146/annurev-neuro-061010-113632","title":"Collision Detection as a Model for Sensory-Motor Integration","year":2011,"lang":"en","type":"review","venue":"Annual Review of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":166,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Sensory system; Neuroscience; Collision avoidance; Context (archaeology); Computer science; Sensory processing; Psychology; Collision; Biology; Computer security","score_opus":0.1196503325056068,"score_gpt":0.3732376882732041,"score_spread":0.2535873557675973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130182339","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000018430932,0.98535496,0.008383673,0.00003970289,0.0013650766,0.0036483684,0.0007107126,0.00007932244,0.00039975753],"genre_scores_gemma":[0.00015202897,0.9951574,0.00013618689,0.0015990402,0.00006663761,0.0003521056,0.000013096309,0.000054692013,0.0024687885],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99657536,0.00032143533,0.0010664522,0.0011464788,0.0005012398,0.00038902284],"domain_scores_gemma":[0.9973931,0.00044705963,0.0011536727,0.00061005045,0.0002558822,0.00014026219],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00062993245,0.0004880408,0.001355991,0.00026596943,0.00024114373,0.000047833404,0.00076558435,0.00018830024,0.000006951562],"category_scores_gemma":[0.005777046,0.00035861312,0.0007736854,0.00095903804,0.00022725426,0.0005221839,0.00015186824,0.00035484633,0.000037162758],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016341577,0.00007428244,5.4812377e-9,0.036549896,0.0000012353571,0.0000033532897,0.000024739478,0.0000030508643,0.019497834,0.001478224,0.00015631315,0.9421947],"study_design_scores_gemma":[0.000084513034,0.0007278988,2.3725704e-7,0.03683747,0.00023476541,0.00015013698,0.0000027661185,0.018065492,0.0021578898,0.00037086086,0.94094884,0.00041913497],"about_ca_topic_score_codex":0.000008961279,"about_ca_topic_score_gemma":0.0000022762667,"teacher_disagreement_score":0.94177556,"about_ca_system_score_codex":0.000075508855,"about_ca_system_score_gemma":0.00026664525,"threshold_uncertainty_score":0.9998866},"labels":[],"label_agreement":null},{"id":"W2130217405","doi":"10.4236/jsip.2015.62015","title":"Human Quantitative Electroencephalographic and Schumann Resonance Exhibit Real-Time Coherence of Spectral Power Densities: Implications for Interactive Information Processing","year":2015,"lang":"en","type":"article","venue":"Journal of Signal and Information Processing","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University; University of Sudbury","funders":"","keywords":"Clockwise; Coherence (philosophical gambling strategy); Schumann resonances; Parahippocampal gyrus; Physics; SCIAMACHY; Electroencephalography; Nuclear magnetic resonance; Psychology; Optics; Neuroscience; Temporal lobe; Quantum mechanics; Ionosphere; Amplitude; Spectrometer","score_opus":0.027218405876423712,"score_gpt":0.28822842296284523,"score_spread":0.2610100170864215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130217405","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9868044,0.00012070617,0.011379342,0.00032890047,0.00003835843,0.000239066,0.00001742084,0.000016936965,0.001054861],"genre_scores_gemma":[0.99817646,0.000044337103,0.0014980563,0.00022890346,0.000020301071,0.00000733889,0.0000060115945,0.000004315431,0.0000142611925],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99884945,0.000031784602,0.0006689792,0.000080557504,0.00021921864,0.00015001548],"domain_scores_gemma":[0.99764377,0.00008475745,0.0012202455,0.000041596144,0.00092681387,0.0000828131],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003903281,0.00011453912,0.00019976626,0.00032309873,0.00026456206,0.00025264596,0.000091323454,0.000045577395,0.0000034033399],"category_scores_gemma":[0.00024448463,0.00009359279,0.000038638787,0.0002966857,0.00016027979,0.010645501,0.00002241135,0.000156193,8.1798646e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018066462,0.00015631117,0.002277206,0.00088875287,0.00003155576,0.0000017817478,0.02994618,0.0005090588,0.8246737,0.027747473,0.00066611875,0.111295186],"study_design_scores_gemma":[0.015935719,0.023572376,0.23880778,0.0061863633,0.00041373368,0.00274079,0.037832968,0.27687478,0.23258446,0.1566886,0.0056550237,0.0027073948],"about_ca_topic_score_codex":0.000004777626,"about_ca_topic_score_gemma":7.841829e-7,"teacher_disagreement_score":0.5920893,"about_ca_system_score_codex":0.000043373348,"about_ca_system_score_gemma":0.00015239733,"threshold_uncertainty_score":0.7717731},"labels":[],"label_agreement":null},{"id":"W2130226520","doi":"10.1098/rstb.2013.0068","title":"Control of the superior colliculus by the lateral prefrontal cortex","year":2013,"lang":"en","type":"review","venue":"Philosophical Transactions of the Royal Society B Biological Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":100,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research","keywords":"Superior colliculus; Neuroscience; Prefrontal cortex; Stimulus (psychology); Excitatory postsynaptic potential; Psychology; Neurophysiology; Inhibitory postsynaptic potential; Visual cortex; Cognitive psychology; Cognition","score_opus":0.07183953053671888,"score_gpt":0.28953597493491534,"score_spread":0.21769644439819646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130226520","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05464735,0.87607366,0.0023583465,0.041242886,0.0063455827,0.012799865,0.004435827,0.0002439719,0.0018524886],"genre_scores_gemma":[0.7324823,0.26614594,0.000023308989,0.00070618564,0.00012782823,0.00016760828,0.0000025946515,0.000014224172,0.00033001226],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99684376,0.00081444695,0.0006864688,0.0006154584,0.0006412605,0.00039861616],"domain_scores_gemma":[0.9977812,0.0011720309,0.0004795649,0.00043713098,0.000048431742,0.00008161615],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00049830734,0.00036387882,0.00085334684,0.000013675102,0.0012066263,0.00007444538,0.0022796134,0.00039282735,0.00018883517],"category_scores_gemma":[0.00018994935,0.00011989034,0.0020374018,0.0007952227,0.0049167993,0.00007862746,0.00012102537,0.00083439954,0.000008541831],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029533927,0.006397032,0.0009185229,0.007070835,0.0016699363,0.0000044094545,0.0007861967,0.0030325295,0.1119346,0.05351966,0.0041177305,0.8102532],"study_design_scores_gemma":[0.004253339,0.007081512,0.0040643425,0.007201449,0.005068219,0.00036419768,0.000282964,0.078313045,0.00693552,0.072782665,0.80844456,0.0052081775],"about_ca_topic_score_codex":0.00010359999,"about_ca_topic_score_gemma":0.0000023041137,"teacher_disagreement_score":0.805045,"about_ca_system_score_codex":0.00006665231,"about_ca_system_score_gemma":0.00011596915,"threshold_uncertainty_score":0.99779123},"labels":[],"label_agreement":null},{"id":"W2130351959","doi":"10.1016/s0960-9822(00)00616-3","title":"Brain development: Lightning is always seen, thunder always heard","year":2000,"lang":"en","type":"review","venue":"Current Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biology; Thunder; Sound (geography); Cognitive science; Lightning (connector); Auditory pathways; Cognitive psychology; Neuroscience; Acoustics; Psychology; Meteorology","score_opus":0.16426368254992482,"score_gpt":0.37554789471279065,"score_spread":0.21128421216286583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130351959","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00006720319,0.99261683,0.00016275492,0.00032589608,0.0035607168,0.0006857196,0.000113843795,0.00018589965,0.0022811345],"genre_scores_gemma":[0.00004817943,0.9965754,0.000037803613,0.0011477633,0.00044151122,0.000104876366,0.0002658988,0.000068644964,0.0013099301],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964727,0.00046713892,0.0008071841,0.0013173599,0.00018844026,0.00074718386],"domain_scores_gemma":[0.9985207,0.00044673457,0.0003729482,0.00047055655,0.000026540043,0.0001625446],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00024374884,0.0006561477,0.0012938494,0.00033266994,0.0003361657,0.00007967243,0.00062702957,0.00047220255,0.00048309282],"category_scores_gemma":[0.0001679944,0.00049699715,0.00042446418,0.00052316807,0.00017233033,0.000090721114,0.0002471177,0.0008460558,0.0017547723],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000058591495,0.000051519037,0.000002413744,0.001324167,0.00001711208,0.0000058298774,0.000038437523,2.1929242e-7,0.00008135997,0.0011476917,0.0054027834,0.9919226],"study_design_scores_gemma":[0.00013324265,0.0000856445,0.0000022558468,0.001910873,0.000058186528,0.00007670088,0.0000010188973,0.000030203444,0.00007194536,0.00040197495,0.99667066,0.0005572842],"about_ca_topic_score_codex":0.0000024135713,"about_ca_topic_score_gemma":0.000002229148,"teacher_disagreement_score":0.9913653,"about_ca_system_score_codex":0.00014786015,"about_ca_system_score_gemma":0.00029916217,"threshold_uncertainty_score":0.9997482},"labels":[],"label_agreement":null},{"id":"W2130440837","doi":"10.1186/1754-1611-6-21","title":"The nature of “internal sensations” of higher brain functions may be derived from the design rules for artificial machines that can produce them","year":2012,"lang":"en","type":"article","venue":"Journal of Biological Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Replicate; Mechanism (biology); Computer science; Internal model; Artificial intelligence; Neuroscience; Machine learning; Mathematics; Biology","score_opus":0.07828879275344394,"score_gpt":0.2674490377352302,"score_spread":0.18916024498178627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130440837","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9633748,0.00014891471,0.030378286,0.004553651,0.0013128892,0.00015469469,0.00005755305,0.0000103167595,0.000008928842],"genre_scores_gemma":[0.99804413,0.000022071947,0.0011518205,0.0002340187,0.00048771562,0.0000046613427,0.0000018872927,0.0000073848996,0.000046316803],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99923235,0.00010063851,0.00027965484,0.000088431305,0.00014483703,0.00015408274],"domain_scores_gemma":[0.99704194,0.002491717,0.00026320596,0.00010064729,0.000063973916,0.000038529906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048186936,0.000096046446,0.00014835529,0.000025275262,0.000110017114,0.00002300618,0.00020060639,0.00007784489,0.000014505887],"category_scores_gemma":[0.0013787792,0.00004225985,0.00013122875,0.000082492705,0.000072577575,0.00007192213,0.000030646217,0.00027735406,3.7795525e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014986552,0.000034797966,0.0013207397,0.0000043187506,0.000025120715,5.695613e-7,0.000063524494,0.003865734,0.99051154,0.002210564,0.0002997172,0.0015135148],"study_design_scores_gemma":[0.0005592694,0.0005840549,0.15014987,0.00009353145,0.00008134575,0.000115722636,0.00019696042,0.031012116,0.80526483,0.003778716,0.007889364,0.00027419755],"about_ca_topic_score_codex":0.000005494459,"about_ca_topic_score_gemma":0.0000019202628,"teacher_disagreement_score":0.18524668,"about_ca_system_score_codex":0.000017004093,"about_ca_system_score_gemma":0.000012884545,"threshold_uncertainty_score":0.17233066},"labels":[],"label_agreement":null},{"id":"W2130460755","doi":"10.1186/1471-2202-15-s1-p113","title":"Modeling sound pulse counting in inferior colliculus","year":2014,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Inferior colliculus; Sound (geography); Neuroscience; Computer science; Pulse (music); Psychology; Speech recognition; Acoustics; Physics; Telecommunications","score_opus":0.05277620956850218,"score_gpt":0.27386380341479405,"score_spread":0.22108759384629187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130460755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9650603,0.0000028790448,0.032041002,0.00011971407,0.0009720566,0.00020815211,0.000002700872,0.000097578544,0.001495652],"genre_scores_gemma":[0.9971031,0.000007397009,0.0001518665,0.0023864154,0.00006917348,0.000019251087,3.8170487e-7,0.000017798411,0.00024464238],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978844,0.00015338085,0.00029967204,0.0007401612,0.00043372234,0.0004886616],"domain_scores_gemma":[0.99925864,0.00022660875,0.00007550712,0.0003106605,0.000028818113,0.00009977077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049030845,0.00016417554,0.00016068928,0.00016550509,0.00029468723,0.00025075977,0.00043286977,0.000045933637,0.000008760051],"category_scores_gemma":[0.0026634783,0.00015270812,0.00004962891,0.0009137078,0.00014171108,0.00051430677,0.00015200562,0.00021145477,0.000035980134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017375367,0.000057385456,0.009687677,0.000016809458,5.4571096e-8,0.000010360092,0.00004192209,0.1235175,0.8593466,0.0064531746,0.0000062926633,0.0008448051],"study_design_scores_gemma":[0.00025594956,0.000067280766,0.006228457,0.000013599442,0.0000013877968,0.000031140415,0.000009080466,0.9841898,0.0072049703,0.0015079884,0.00030690644,0.00018343473],"about_ca_topic_score_codex":0.000058879992,"about_ca_topic_score_gemma":0.00015270783,"teacher_disagreement_score":0.8606723,"about_ca_system_score_codex":0.0000462794,"about_ca_system_score_gemma":0.00005243709,"threshold_uncertainty_score":0.62272567},"labels":[],"label_agreement":null},{"id":"W2130912823","doi":"10.1016/j.neuroimage.2011.05.028","title":"How is our self related to midline regions and the default-mode network?","year":2011,"lang":"en","type":"review","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":929,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Royal Ottawa Mental Health Centre","funders":"Canadian Institutes of Health Research","keywords":"Default mode network; Posterior cingulate; Stimulus (psychology); Psychology; Neuroscience; Resting state fMRI; Brain activity and meditation; Functional connectivity; Prefrontal cortex; Anterior cingulate cortex; Cognitive psychology; Cortex (anatomy); Cognition; Electroencephalography","score_opus":0.06639562803583976,"score_gpt":0.3129971359950375,"score_spread":0.24660150795919772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130912823","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009335204,0.9776971,0.00012687121,0.01184881,0.0026008089,0.0031586539,0.0001434721,0.00046749966,0.0038634734],"genre_scores_gemma":[0.00016155653,0.98364687,0.0001026031,0.003948345,0.0002329054,0.000089268004,0.000011448484,0.00010891926,0.01169808],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99718946,0.0006356569,0.00042504014,0.0010199462,0.00023956397,0.0004903168],"domain_scores_gemma":[0.9981347,0.00041049684,0.00033983323,0.0008979771,0.00003962222,0.00017739127],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022948165,0.00050023687,0.00095701934,0.000120270524,0.0003597833,0.00029485676,0.0006137721,0.00021909722,0.000008256142],"category_scores_gemma":[0.0005167704,0.00030572715,0.00038800246,0.0007525337,0.0001057764,0.00015711544,0.00036736476,0.0008736529,0.00013621151],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014686391,0.00021427881,0.00000326344,0.004120457,0.0001092813,0.000529739,0.00062937813,0.000017941038,0.00033178556,0.04155879,0.16090542,0.7914328],"study_design_scores_gemma":[0.0003049955,0.00008154858,0.000003938672,0.0005434879,0.00028464364,0.000382218,0.0000036834233,0.0006023818,0.000004158362,0.0010272001,0.996447,0.000314742],"about_ca_topic_score_codex":0.000014256618,"about_ca_topic_score_gemma":0.0000064843516,"teacher_disagreement_score":0.8355416,"about_ca_system_score_codex":0.000027463926,"about_ca_system_score_gemma":0.00005244963,"threshold_uncertainty_score":0.9999395},"labels":[],"label_agreement":null},{"id":"W2131447764","doi":"10.1017/s0140525x12002154","title":"God, the devil, and the details: Fleshing out the predictive processing framework","year":2013,"lang":"en","type":"letter","venue":"Behavioral and Brain Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Kalman filter; Cognitive science; Artificial intelligence; Psychology","score_opus":0.07379273646216883,"score_gpt":0.3123753664104898,"score_spread":0.23858262994832097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131447764","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17038111,0.0007449702,0.00023901204,0.82616,0.0008949999,0.001022395,0.000024867859,0.00006521759,0.0004674081],"genre_scores_gemma":[0.46184677,0.00018081456,0.00009865473,0.5337689,0.00145222,0.0002136578,0.0000037254065,0.000027872831,0.0024074153],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970304,0.00054354896,0.00030068407,0.00080749404,0.00080502284,0.00051285455],"domain_scores_gemma":[0.99690366,0.0023732092,0.0003054265,0.00031457478,0.000052829062,0.000050328978],"candidate_categories":["sts","scholarly_communication"],"consensus_categories":["sts"],"category_scores_codex":[0.0012766704,0.0003365146,0.00027526176,0.00006232277,0.0031056243,0.002264874,0.0010637437,0.0002762748,0.000026158044],"category_scores_gemma":[0.00057935464,0.000121721845,0.00009498606,0.0004176573,0.0054602767,0.0005468688,0.00039021036,0.0016896435,0.000011167105],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013858087,0.000118672884,0.0031911028,0.00021617558,0.000024464569,0.00013254471,0.015584026,0.000037410908,0.006838974,0.009230441,0.585579,0.37890866],"study_design_scores_gemma":[0.0017630379,0.0014765741,0.010392481,0.0014352695,0.0007048491,0.0009582758,0.0073719537,0.044542715,0.0014485327,0.12185089,0.8053772,0.0026782455],"about_ca_topic_score_codex":0.00013255833,"about_ca_topic_score_gemma":0.000038609072,"teacher_disagreement_score":0.37623042,"about_ca_system_score_codex":0.00001855427,"about_ca_system_score_gemma":0.00008273727,"threshold_uncertainty_score":0.9987709},"labels":[],"label_agreement":null},{"id":"W2131707961","doi":"10.1016/s0303-2647(02)00073-4","title":"Noise-induced divisive gain control in neuron models","year":2002,"lang":"en","type":"article","venue":"Biosystems","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Noise (video); Context (archaeology); Multiplicative noise; Inhibitory postsynaptic potential; Gaussian noise; Electric fish; Shot noise; Biological system; Mathematics; Physics; Control theory (sociology); Computer science; Neuroscience; Algorithm; Transmission (telecommunications); Biology; Artificial intelligence; Telecommunications; Optics","score_opus":0.057011977219573975,"score_gpt":0.23481967968643797,"score_spread":0.177807702466864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131707961","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917215,0.0000365627,0.00036066942,0.0007228334,0.0011125769,0.0005333691,0.00002255177,0.00009719108,0.0053927107],"genre_scores_gemma":[0.9981504,0.000013803149,0.0000022798793,0.001058204,0.00011341567,0.000029439614,7.975617e-7,0.000019731076,0.0006119048],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99861276,0.00018187393,0.00026040268,0.00041151437,0.00023947138,0.00029397698],"domain_scores_gemma":[0.99942845,0.00014217374,0.00009265046,0.00024469124,0.000018582537,0.00007344546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012407952,0.00014319982,0.00019122029,0.000118462085,0.00007348872,0.00006340906,0.00018028304,0.0000709517,0.00002494847],"category_scores_gemma":[0.000119376564,0.00012416605,0.000059873568,0.00027857797,0.000017944809,0.00020698328,0.000027337794,0.00013969792,0.00017313831],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001594024,0.00007336026,0.00028463532,0.000018342398,0.0000013659302,0.000055101733,0.00009605218,0.0008557244,0.9950965,0.001998843,0.00040202428,0.0011021079],"study_design_scores_gemma":[0.001058761,0.00016592146,0.00063071935,0.000038570346,0.0000039379083,0.000028647595,0.000021837277,0.979085,0.017668784,0.00029868388,0.0007821986,0.00021689289],"about_ca_topic_score_codex":0.000079029654,"about_ca_topic_score_gemma":0.00002401752,"teacher_disagreement_score":0.97822934,"about_ca_system_score_codex":0.00005153632,"about_ca_system_score_gemma":0.000005521552,"threshold_uncertainty_score":0.5063345},"labels":[],"label_agreement":null},{"id":"W2131831134","doi":"10.1111/j.1469-8986.2009.00837.x","title":"Bilateral parietal and contralateral responses during maintenance of unilaterally encoded objects in visual short‐term memory: Evidence from magnetoencephalography","year":2009,"lang":"en","type":"article","venue":"Psychophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Magnetoencephalography; Posterior parietal cortex; Psychology; Neuroscience; Negativity effect; Parietal lobe; Cortex (anatomy); Visual field; Electrophysiology; Electroencephalography; Cognitive psychology","score_opus":0.018847675772749282,"score_gpt":0.2793360326854449,"score_spread":0.2604883569126956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131831134","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99873674,0.000067359855,0.000012902092,0.00033758843,0.00043586106,0.00027485995,0.000024180761,0.0000468273,0.00006369729],"genre_scores_gemma":[0.9987575,0.00035543324,0.00009590605,0.00059557235,0.00006717789,0.000012645381,0.0000071050154,0.000012440014,0.00009622572],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9979469,0.00028657814,0.00042874503,0.000732666,0.00015085867,0.00045426114],"domain_scores_gemma":[0.9992038,0.00029305945,0.00012471543,0.0002581462,0.000031097883,0.000089166846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000100123885,0.0002466832,0.0004030243,0.00022917447,0.00007831609,0.000036536465,0.00023556018,0.00012255543,0.000023639841],"category_scores_gemma":[0.00012429991,0.00020907365,0.00008983747,0.0003366117,0.0002902254,0.00036518465,0.000053844058,0.00024006872,0.0000030957092],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024855712,0.00009834736,0.01458575,0.000013317135,0.000004383176,0.000087822154,0.000339466,0.000052013267,0.9802653,0.000030266327,0.000004851664,0.0020328881],"study_design_scores_gemma":[0.0008036438,0.0009425612,0.7435398,0.00010596767,0.000006942444,0.00003057598,0.00001576502,0.0013596115,0.24984552,0.0031384104,0.0000013504751,0.00020984415],"about_ca_topic_score_codex":0.00007377078,"about_ca_topic_score_gemma":0.000035016004,"teacher_disagreement_score":0.7304198,"about_ca_system_score_codex":0.000020733478,"about_ca_system_score_gemma":0.000019388788,"threshold_uncertainty_score":0.8525776},"labels":[],"label_agreement":null},{"id":"W2132084816","doi":"10.1503/cmaj.109-3152","title":"Sperm donor pool shrivels when payments cease","year":2010,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Neocortex; Sensory system; Neuroscience; Tonic (physiology); Arousal; Thalamus; Reticular activating system; Brainstem; Reticular connective tissue; Sensory cortex; Sensory processing; Sensory stimulation therapy; Reticular formation; Biology; Stimulation; Psychology; Anatomy","score_opus":0.010388826810969674,"score_gpt":0.22766166611911212,"score_spread":0.21727283930814245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132084816","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9438754,0.000004587605,0.000058790036,0.04589959,0.004790947,0.000107823515,0.000049830287,0.000025740852,0.005187337],"genre_scores_gemma":[0.9656596,0.000022618771,0.00004175985,0.030338412,0.0017604945,0.0000033549775,0.0000040021537,0.000014854761,0.0021548586],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99777305,0.0001299158,0.00029110536,0.00020476028,0.0011263439,0.00047483607],"domain_scores_gemma":[0.99761933,0.00018793608,0.0001778517,0.00010407265,0.00012323953,0.0017875414],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00080818904,0.00010830521,0.00012477803,0.00014108265,0.00040603217,0.00020237266,0.0003007079,0.00024713948,0.008436582],"category_scores_gemma":[0.0047749598,0.00009408675,0.00008310964,0.00015130537,0.000042044343,0.00022519047,0.000019802359,0.0013036566,0.00045860602],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042385207,0.00023216431,0.08897185,0.000014904845,0.00007322862,0.003430933,0.0007512664,0.000019694005,0.12883252,0.010688824,0.46679878,0.30014342],"study_design_scores_gemma":[0.0014055059,0.000091122885,0.035702575,0.000028430966,0.000020974257,0.0010199351,0.00006078586,0.0047432194,0.003132608,0.004108108,0.9493132,0.00037350252],"about_ca_topic_score_codex":0.0008870055,"about_ca_topic_score_gemma":0.017082263,"teacher_disagreement_score":0.48251444,"about_ca_system_score_codex":0.0003549657,"about_ca_system_score_gemma":0.0010726253,"threshold_uncertainty_score":0.99246985},"labels":[],"label_agreement":null},{"id":"W2132304073","doi":"10.1186/1471-2202-14-s1-p365","title":"Sharp transitions of gamma coherence in inhibitory networks occur when a biological context and constraints are imposed","year":2013,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; McGill University; Douglas Mental Health University Institute; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; Canadian Institutes of Health Research; Government of Ontario; Compute Canada","keywords":"Inhibitory postsynaptic potential; Coherence (philosophical gambling strategy); Context (archaeology); Neuroscience; Computer science; Psychology; Statistical physics; Cognitive science; Cognitive psychology; Physics; Biology; Quantum mechanics","score_opus":0.05616784385296321,"score_gpt":0.24616771608284407,"score_spread":0.18999987222988085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132304073","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964153,0.000027104414,0.0020678013,0.0002805535,0.00034248192,0.0005606606,0.000036169324,0.000047039037,0.00022289246],"genre_scores_gemma":[0.9980583,0.000028247898,0.00007583131,0.0017118722,0.000022850541,0.00004530466,0.0000010606817,0.000007797189,0.000048742386],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998212,0.00020380148,0.0003500372,0.0006555768,0.00021549,0.00036313472],"domain_scores_gemma":[0.9990847,0.00036193553,0.00016688155,0.00020651023,0.00004380723,0.00013617566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017468608,0.00017046995,0.00023023927,0.00011343917,0.00013127996,0.000086903085,0.00028894006,0.00008391693,0.00006225217],"category_scores_gemma":[0.0005967828,0.00014168657,0.00005239247,0.00041467618,0.001422349,0.00036646382,0.00008831024,0.00023697174,0.00000821848],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025020363,0.00010486133,0.020283403,0.000015919817,2.1395257e-7,0.000017780023,0.00009489679,0.00021259314,0.9747051,0.0011852727,0.000099444485,0.0032554655],"study_design_scores_gemma":[0.0018605153,0.00081403035,0.7654436,0.00021026714,0.000007653281,0.00023955185,0.00039530182,0.17641102,0.05087466,0.0028107828,0.00024740899,0.0006851707],"about_ca_topic_score_codex":0.000039884828,"about_ca_topic_score_gemma":0.000057489506,"teacher_disagreement_score":0.92383045,"about_ca_system_score_codex":0.000016208945,"about_ca_system_score_gemma":0.00004609776,"threshold_uncertainty_score":0.5777811},"labels":[],"label_agreement":null},{"id":"W2132413947","doi":"10.1152/jn.00329.2002","title":"Postsynaptic Dorsal Column and Cuneate Correlations in the Raccoon: A Re-evaluation by Parallel-Cascade Analysis","year":2002,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Cuneate nucleus; Postsynaptic potential; Neuroscience; Dorsum; Receptive field; Dorsal column nuclei; Correlation; Autocorrelation; Spike train; Cascade; Physics; Biological system; Mathematics; Spike (software development); Anatomy; Biology; Computer science; Chemistry; Statistics; Geometry","score_opus":0.042826802394401425,"score_gpt":0.2774292716442981,"score_spread":0.23460246924989667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132413947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99589306,0.000079408084,0.000111428984,0.0033699702,0.00025234086,0.00014705492,0.0000049426853,0.000005027577,0.00013676751],"genre_scores_gemma":[0.99752486,0.00040888172,0.000019820416,0.0018864798,0.000056107787,0.000004691042,0.0000021753435,0.000007048227,0.0000899554],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998165,0.0007929807,0.0003876692,0.00020933345,0.00027859324,0.00016638283],"domain_scores_gemma":[0.9987632,0.00065067393,0.00033136678,0.00015210336,0.00006586754,0.00003680579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019020602,0.00010363106,0.00023738746,0.00023194015,0.00012600755,0.000046473553,0.00019371824,0.000056808727,0.0000958499],"category_scores_gemma":[0.00055080693,0.000071007555,0.000109696164,0.00075886963,0.00010310448,0.00018818806,0.000029343018,0.00036871163,0.000011763674],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019546709,0.0002982801,0.0007123436,0.0000057389343,0.000060920604,0.00016757663,0.0005026339,0.03771775,0.95432687,0.00027307362,0.0014057051,0.0043336414],"study_design_scores_gemma":[0.0011522515,0.0011584808,0.14510015,0.000008894424,0.00039669598,0.00042766723,0.000078255995,0.8490476,0.00019944053,0.0012501098,0.0010234327,0.00015699222],"about_ca_topic_score_codex":0.000009763018,"about_ca_topic_score_gemma":0.000006849363,"teacher_disagreement_score":0.95412743,"about_ca_system_score_codex":0.000023572202,"about_ca_system_score_gemma":0.000010347606,"threshold_uncertainty_score":0.28956038},"labels":[],"label_agreement":null},{"id":"W2132581407","doi":"10.1186/1471-2202-15-s1-p48","title":"Structured chaos shapes joint spike-response noise entropy in temporally driven balanced networks","year":2014,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Washington; Burroughs Wellcome Fund; National Institutes of Health; National Science Foundation","keywords":"Spike (software development); Computer science; Statistical physics; Spike train; Noise (video); CHAOS (operating system); Joint (building); Entropy (arrow of time); Artificial intelligence; Physics","score_opus":0.02608755338910928,"score_gpt":0.24338258314132014,"score_spread":0.21729502975221085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132581407","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9831529,0.0000047157087,0.013876478,0.00055161177,0.0015933408,0.0004934097,0.000010100214,0.00016365031,0.00015377036],"genre_scores_gemma":[0.9954216,0.000016521712,0.000335177,0.0036464168,0.00013500308,0.00003149056,0.0000014015526,0.000030864736,0.0003815178],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964878,0.0006249405,0.0004483048,0.0011494181,0.00057367666,0.00071583985],"domain_scores_gemma":[0.99863714,0.00041814006,0.00023144578,0.00046386896,0.00003540464,0.000214028],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005702987,0.00030704864,0.0003085848,0.00024441132,0.00027087817,0.00021778076,0.00071541045,0.00009158759,0.000026015312],"category_scores_gemma":[0.002742785,0.0002667112,0.00010849681,0.0009844888,0.0003526471,0.00043171647,0.0002320155,0.00036231807,0.000026593747],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028328827,0.0000535677,0.0064972485,0.000008834745,1.4752283e-7,0.000027674138,0.000028064298,0.029628288,0.96135575,0.0013686537,0.00006417132,0.00068429246],"study_design_scores_gemma":[0.0006533838,0.00028829733,0.2622128,0.000023039047,0.0000024843775,0.00003987869,0.0000048184197,0.70541126,0.029564096,0.00043348523,0.0010770356,0.0002894052],"about_ca_topic_score_codex":0.000015808339,"about_ca_topic_score_gemma":0.000047194197,"teacher_disagreement_score":0.93179166,"about_ca_system_score_codex":0.00006544543,"about_ca_system_score_gemma":0.00008208198,"threshold_uncertainty_score":0.9999785},"labels":[],"label_agreement":null},{"id":"W2132790336","doi":"10.1109/embc.2013.6610407","title":"Blind Deconvolution of Hodgkin-Huxley neuronal model","year":2013,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Biological neuron model; Deconvolution; Computer science; Robustness (evolution); Kalman filter; Algorithm; Neuron; Artificial intelligence; Neural coding; Blind deconvolution; Artificial neural network; Neuroscience","score_opus":0.0443773634228005,"score_gpt":0.25542864001848364,"score_spread":0.21105127659568315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132790336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97871757,0.000001903097,0.008940309,0.0005060047,0.00019387175,0.00016672205,0.0000039549436,0.000043217507,0.011426447],"genre_scores_gemma":[0.9947573,0.000008748629,0.0004594674,0.0010132344,0.000023042547,0.000009545932,0.0000013928947,0.000007952484,0.0037193373],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930143,0.000026794693,0.0001558171,0.00021254458,0.00016025777,0.00014317577],"domain_scores_gemma":[0.9996441,0.000069348614,0.00005781516,0.00014094925,0.00003914763,0.000048618473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004424374,0.0000720472,0.000077880264,0.000058444406,0.00004829169,0.00002361751,0.00011147297,0.000034371955,0.0003759564],"category_scores_gemma":[0.00009241912,0.000058065252,0.00004526574,0.00012336775,0.00005317737,0.00024813417,0.00004256164,0.00007119344,0.0001656213],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014044141,0.000044658434,0.00016508739,0.000004849474,7.067326e-7,3.0426955e-7,0.000009198384,0.0030177145,0.9750265,0.017613934,0.0012407597,0.0028622414],"study_design_scores_gemma":[0.00025978146,0.00007357945,0.0032602989,0.0000022124004,0.0000025847255,0.000004796125,0.0000035269215,0.86684936,0.12027637,0.009082697,0.00010805976,0.00007673787],"about_ca_topic_score_codex":0.000040632713,"about_ca_topic_score_gemma":0.000005595085,"teacher_disagreement_score":0.86383164,"about_ca_system_score_codex":0.000010613148,"about_ca_system_score_gemma":0.000018458855,"threshold_uncertainty_score":0.41164592},"labels":[],"label_agreement":null},{"id":"W2133247674","doi":"10.1142/s0129065712500335","title":"PHASE SYNCHRONIZATION OF NEURONAL NOISE IN MOUSE HIPPOCAMPAL EPILEPTIFORM DYNAMICS","year":2012,"lang":"en","type":"article","venue":"International Journal of Neural Systems","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Western Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Neurosurgery Research and Education Foundation","keywords":"Ictal; Neuroscience; Hippocampal formation; Synchronization (alternating current); Noise (video); Epilepsy; Hippocampus; Electroencephalography; Coupling (piping); Theta rhythm; Phase synchronization; Beta Rhythm; Physics; Computer science; Biology; Phase (matter); Artificial intelligence; Materials science; Telecommunications","score_opus":0.02627439215960184,"score_gpt":0.2909446073864743,"score_spread":0.2646702152268725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133247674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919807,0.00005634232,0.0018308619,0.00030928926,0.005376047,0.00014588748,0.00006813851,0.0000114369805,0.00022131686],"genre_scores_gemma":[0.9989878,0.000044062523,0.000023256696,0.00013231263,0.00063805433,0.0000030398705,0.000010829406,0.000018906429,0.00014176976],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978099,0.00016050907,0.0008743471,0.00013898755,0.00078143773,0.0002348446],"domain_scores_gemma":[0.9984931,0.00020463366,0.0008178164,0.00010544249,0.00026122507,0.000117814445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037241905,0.00014334892,0.00025317108,0.00037229247,0.00003092155,0.0000622636,0.0004253636,0.00006193423,0.00002498024],"category_scores_gemma":[0.00038868748,0.00012124207,0.00012609382,0.00021147187,0.00005908241,0.000897722,0.000058728292,0.00025839728,0.0000080776],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000965801,0.0021200872,0.039453477,0.00007157161,0.000044629924,0.00013856398,0.00034670482,0.021450916,0.90587664,0.008543951,0.00024349552,0.020744156],"study_design_scores_gemma":[0.007245232,0.0015893311,0.012661386,0.00026465248,0.000035271736,0.002712153,0.00027559264,0.92552036,0.04785509,0.00027125655,0.0010873048,0.00048237934],"about_ca_topic_score_codex":0.000036846435,"about_ca_topic_score_gemma":0.000008244854,"teacher_disagreement_score":0.9040694,"about_ca_system_score_codex":0.0002800107,"about_ca_system_score_gemma":0.000042504274,"threshold_uncertainty_score":0.4944108},"labels":[],"label_agreement":null},{"id":"W2133602791","doi":"10.1093/cercor/bhm027","title":"Local Potential Connectivity in Cat Primary Visual Cortex","year":2007,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":167,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Institute of Neurological Disorders and Stroke; National Eye Institute; National Institute of Mental Health","keywords":"Neuroscience; Excitatory postsynaptic potential; Ocular dominance column; Neuropil; Visual cortex; Inhibitory postsynaptic potential; Synaptogenesis; Postsynaptic potential; Axon; Biology; Neuron; Dendritic spine; Synapse; Ocular dominance; Central nervous system","score_opus":0.013345826522925033,"score_gpt":0.2551613390360906,"score_spread":0.24181551251316558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133602791","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9846216,0.0000092047685,0.009255383,0.00014685855,0.0012025719,0.00027419048,0.000009488527,0.00011407465,0.004366615],"genre_scores_gemma":[0.9973038,0.000006534606,0.000035191562,0.0017973715,0.00014530163,0.000004805153,0.000015825386,0.000026633854,0.00066456303],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9980411,0.00009179691,0.0003307044,0.0006214318,0.00036312192,0.0005518676],"domain_scores_gemma":[0.9993176,0.00018160978,0.000104250204,0.0002123329,0.00003150145,0.00015271716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032314245,0.00020691773,0.00023913033,0.00016623494,0.00014296612,0.00005476776,0.00019796901,0.00013040536,0.00014588502],"category_scores_gemma":[0.00012024188,0.00019714232,0.000097472315,0.0004448228,0.00019590485,0.00029136098,0.00012625023,0.00029217175,0.00012960576],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032464703,0.0002767747,0.0070458,0.000021860758,0.0000032125301,0.00039743853,0.000043446424,0.00006091724,0.95423895,0.0023297674,0.00021175186,0.035045456],"study_design_scores_gemma":[0.0012666899,0.00038728357,0.923113,0.000018368955,0.000011294898,0.00018965421,0.000069136826,0.028467732,0.04421843,0.0013069862,0.0005242276,0.00042721405],"about_ca_topic_score_codex":0.00015946603,"about_ca_topic_score_gemma":0.00038531085,"teacher_disagreement_score":0.9160672,"about_ca_system_score_codex":0.0002120729,"about_ca_system_score_gemma":0.000070402166,"threshold_uncertainty_score":0.803923},"labels":[],"label_agreement":null},{"id":"W2134160462","doi":"10.1111/j.1469-8986.2006.00482.x","title":"Theta phase resetting and the error‐related negativity","year":2006,"lang":"en","type":"article","venue":"Psychophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":191,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"National Institute of Mental Health","keywords":"Electroencephalography; Negativity effect; Oscillation (cell signaling); Error-related negativity; Psychology; Set (abstract data type); Phase synchronization; Synchronization (alternating current); Noise (video); Phase (matter); Pattern recognition (psychology); Speech recognition; Cognitive psychology; Artificial intelligence; Computer science; Neuroscience; Cognition; Physics; Anterior cingulate cortex","score_opus":0.019284372256847978,"score_gpt":0.2929674145140439,"score_spread":0.2736830422571959,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134160462","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878133,0.000031361025,0.000044184122,0.0040733065,0.0004899664,0.00018698507,0.0000067140563,0.00005229989,0.007301893],"genre_scores_gemma":[0.9978807,0.000021478843,0.000013712066,0.0010470797,0.000099535384,0.000013942967,0.000004001159,0.000008814313,0.0009107603],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989699,0.00029828082,0.00015387363,0.00031488974,0.00007317849,0.00018983994],"domain_scores_gemma":[0.9991578,0.00051390065,0.000089713714,0.0002060479,0.000011371885,0.000021190584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015864595,0.00009446077,0.00013289938,0.000031017244,0.0002332913,0.000024490548,0.00012264153,0.000050573308,0.000027429902],"category_scores_gemma":[0.0001578961,0.000056477333,0.000046712183,0.00017558514,0.0004153632,0.00006883276,0.000046278055,0.00018251056,0.000032169304],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023323984,0.00006389442,0.000022835606,0.0000026356124,0.000002081192,0.0000029612381,0.000031647363,0.00004064759,0.98196566,0.0123820435,0.00054830214,0.0047040577],"study_design_scores_gemma":[0.011739774,0.00044576166,0.007083208,0.000013095897,0.000026722899,0.00009392217,0.000037380974,0.10002912,0.067852564,0.8072624,0.0050441585,0.00037184614],"about_ca_topic_score_codex":0.000065752545,"about_ca_topic_score_gemma":0.0000065690297,"teacher_disagreement_score":0.9141131,"about_ca_system_score_codex":0.0000055917503,"about_ca_system_score_gemma":0.0000045866855,"threshold_uncertainty_score":0.23030788},"labels":[],"label_agreement":null},{"id":"W2134474356","doi":"10.1016/j.jneumeth.2010.07.031","title":"A FPGA real-time model of single and multiple visual cortex neurons","year":2010,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Receptive field; Computer science; Field-programmable gate array; Waveform; Visual cortex; Simple cell; Orientation (vector space); Electrophysiology; Artificial intelligence; Computer hardware; Neuroscience","score_opus":0.0719248318135316,"score_gpt":0.36779358175041493,"score_spread":0.29586874993688334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134474356","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97876817,0.0000034196137,0.019131564,0.00028454952,0.0013265569,0.00010519334,0.000007910112,0.000019029458,0.00035362318],"genre_scores_gemma":[0.9661238,0.000059224665,0.032922152,0.0004974538,0.00007187099,6.8713905e-7,7.997758e-8,0.000019875348,0.0003048434],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979498,0.00036388394,0.00055831874,0.0003643528,0.0004784648,0.00028517918],"domain_scores_gemma":[0.9977917,0.0009953604,0.00065182254,0.00021748726,0.0001253383,0.00021830495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011595299,0.00016335271,0.00032823323,0.0002598928,0.00016791982,0.00008848143,0.0004072391,0.000067024856,0.0000077872955],"category_scores_gemma":[0.0049278457,0.00012935388,0.00012386544,0.0004897932,0.0005022755,0.00053154776,0.00014128092,0.00047065492,9.913219e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006280558,0.00016537619,0.00010434943,0.000006423578,6.202979e-7,0.000018054252,0.000048286674,0.00073237903,0.9903855,0.00015369861,0.000022399023,0.008300119],"study_design_scores_gemma":[0.00027737019,0.0007951532,0.003741022,0.0000074356763,0.0000136078,0.00044314805,0.000005662633,0.4595183,0.5341402,0.0007575623,0.00019657679,0.00010393964],"about_ca_topic_score_codex":0.0000045093084,"about_ca_topic_score_gemma":0.0000013846033,"teacher_disagreement_score":0.45878595,"about_ca_system_score_codex":0.000011913264,"about_ca_system_score_gemma":0.00009258109,"threshold_uncertainty_score":0.5899448},"labels":[],"label_agreement":null},{"id":"W2134777860","doi":"10.21236/ada458109","title":"Computational Models of Object Recognition in Cortex: A Review","year":2000,"lang":"en","type":"review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Office of Naval Research; National Science Foundation","keywords":"Categorization; Cognitive neuroscience of visual object recognition; Feed forward; Computer science; Computational model; Object (grammar); Identification (biology); Artificial intelligence; Focus (optics); Visual cortex; Computational neuroscience; Pattern recognition (psychology); Cognitive science; Machine learning; Neuroscience; Psychology; Biology","score_opus":0.13330724436584154,"score_gpt":0.3385767094784487,"score_spread":0.20526946511260716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134777860","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000054924485,0.9878432,0.00012419392,0.00002136159,0.00010715205,0.00089454243,0.00010024542,0.00002754488,0.010876277],"genre_scores_gemma":[0.0000159817,0.99871385,0.00012311387,0.00058597827,0.00001812863,0.000057818284,0.00017538441,0.000016440057,0.000293276],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982193,0.00024361297,0.00075009605,0.0004047618,0.00024470355,0.0001374894],"domain_scores_gemma":[0.99913955,0.0003518672,0.00029684967,0.00015217194,0.000028078619,0.00003149797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018025619,0.00020672257,0.0010085434,0.00020461818,0.00002167549,0.0000116014935,0.00013521958,0.00010021627,0.00040302987],"category_scores_gemma":[0.00008967616,0.00015963585,0.00028647674,0.00062525313,0.000035547742,0.0001261365,0.000025680654,0.00021994823,0.000107789485],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020062882,0.000041634223,2.1780085e-8,0.01752568,0.0000022479983,0.0000059208146,0.0000014013962,0.00007612254,8.714513e-7,0.00044364238,0.00020837305,0.9816921],"study_design_scores_gemma":[0.0002542378,0.00013281962,0.0000011457129,0.14617398,0.00026448618,0.00022855634,7.5722903e-7,0.017195331,0.000003010681,0.019431178,0.8157083,0.0006062094],"about_ca_topic_score_codex":0.000015283844,"about_ca_topic_score_gemma":0.000005433895,"teacher_disagreement_score":0.9810859,"about_ca_system_score_codex":0.000045640805,"about_ca_system_score_gemma":0.00012685396,"threshold_uncertainty_score":0.6509761},"labels":[],"label_agreement":null},{"id":"W2134928318","doi":"10.1023/a:1026535704537","title":"Nonlinear Thermodynamic Models of Voltage-Dependent Currents","year":2000,"lang":"en","type":"article","venue":"Journal of Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":69,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Université du Québec","funders":"Medical Research Council; National Institutes of Health","keywords":"Nonlinear system; Statistical physics; Voltage; Formalism (music); Theory of computation; Physics; Computer science; Quantum mechanics; Algorithm","score_opus":0.03228280863277329,"score_gpt":0.2776547979777715,"score_spread":0.2453719893449982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134928318","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9729691,0.000015838155,0.025193347,0.0002365411,0.00074991153,0.0000883635,0.000023911183,0.000012676803,0.0007102694],"genre_scores_gemma":[0.99843526,0.000069050744,0.0005085477,0.0007203572,0.00006659918,6.2764525e-7,6.6826186e-7,0.000010872077,0.00018799532],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979235,0.000087796456,0.0005514447,0.00023911719,0.0010137694,0.0001844054],"domain_scores_gemma":[0.99897665,0.00021699668,0.00042447896,0.00011367282,0.00016660271,0.000101573685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025452013,0.000121729354,0.00019523747,0.0001730205,0.0001183998,0.00005394479,0.00048788643,0.000028612527,0.00008734021],"category_scores_gemma":[0.00015564985,0.00009918438,0.00012327387,0.0004227256,0.0002397434,0.00064828247,0.000038511593,0.00022416121,0.000009581045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000076255616,0.00024773792,0.000056870296,0.000008229213,0.0000012039801,0.000031899654,0.000041430285,0.741277,0.24182835,0.0030050147,0.000034637815,0.0133914035],"study_design_scores_gemma":[0.00040938373,0.0003275721,0.0018108641,0.00002681607,0.000006715244,0.0003364466,0.0000036139147,0.9588723,0.0062402547,0.031687196,0.00017984299,0.00009897989],"about_ca_topic_score_codex":0.00000178904,"about_ca_topic_score_gemma":2.1187839e-7,"teacher_disagreement_score":0.2355881,"about_ca_system_score_codex":0.000027821276,"about_ca_system_score_gemma":0.000121041936,"threshold_uncertainty_score":0.40446216},"labels":[],"label_agreement":null},{"id":"W2135044519","doi":"10.1152/jn.00469.2005","title":"Stimulus Induced Desynchronization of Human Auditory 40-Hz Steady-State Responses","year":2005,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":125,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital","funders":"","keywords":"Magnetoencephalography; Stimulus (psychology); Neuroscience; Audiology; Sensory system; Auditory cortex; Perception; Rhythm; Sensation; Psychology; Electroencephalography; Communication; Physics; Acoustics; Medicine; Cognitive psychology","score_opus":0.03761503030732305,"score_gpt":0.29197851030577965,"score_spread":0.2543634799984566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135044519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99827105,0.0000062536924,0.00013249986,0.00032916229,0.0010505049,0.00007551233,0.0000052757405,0.000014505315,0.00011523105],"genre_scores_gemma":[0.9984287,0.00006439746,0.0000622649,0.00063234917,0.0005386116,7.9724856e-7,6.692359e-7,0.000019971147,0.00025226403],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984034,0.00042952463,0.0005481039,0.00019574551,0.00023031316,0.00019291653],"domain_scores_gemma":[0.9985639,0.00035574878,0.0006765453,0.00017390143,0.00015868567,0.00007126134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008282748,0.0001278748,0.0002806117,0.00023507379,0.00010967198,0.000014775692,0.00025096096,0.00005865479,0.000038654787],"category_scores_gemma":[0.00059906294,0.00010558339,0.00010496777,0.00022131644,0.00012226119,0.00024741967,0.00005982315,0.0003114377,0.000016883989],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043209596,0.000113544265,0.000017894346,0.000010460833,0.0000050918543,0.00004991272,0.000061110506,0.007759451,0.9876264,0.00011367592,0.00010344942,0.003706934],"study_design_scores_gemma":[0.0023999554,0.009844469,0.11826399,0.00007567669,0.00005690742,0.00051405834,0.000032365144,0.019146321,0.84355164,0.0024124465,0.003289057,0.00041312698],"about_ca_topic_score_codex":0.0000027253539,"about_ca_topic_score_gemma":0.0000013706866,"teacher_disagreement_score":0.14407475,"about_ca_system_score_codex":0.000049147387,"about_ca_system_score_gemma":0.00007462057,"threshold_uncertainty_score":0.4305566},"labels":[],"label_agreement":null},{"id":"W2135516479","doi":"10.1186/1471-2202-8-s2-p207","title":"A neurologically plausible implementation of statistical inference applied to random dot motion","year":2007,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Generative model; Inference; Artificial intelligence; Bayesian inference; Statistical inference; Bayesian probability; Field (mathematics); Machine learning; Algorithm; Mathematics; Generative grammar","score_opus":0.05174664948102076,"score_gpt":0.33550343596012683,"score_spread":0.28375678647910607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135516479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6720891,3.1582533e-7,0.3264934,0.000079067206,0.00033206612,0.00043993746,0.000024138884,0.00005768825,0.00048427572],"genre_scores_gemma":[0.9957524,0.0000030697895,0.001857952,0.0022732245,0.00003434334,0.000021549242,0.0000022724378,0.000011267463,0.00004391929],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99767894,0.00009790005,0.00045342883,0.00070701056,0.0006065589,0.00045616398],"domain_scores_gemma":[0.99853814,0.00082888297,0.00017221387,0.00022056943,0.000049793132,0.00019038997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006119032,0.00016368726,0.00019358574,0.00019079904,0.00018260203,0.000068820984,0.00036933133,0.000042888,0.00006577977],"category_scores_gemma":[0.0012966866,0.00014147545,0.00004226096,0.00090921647,0.00019006932,0.00019086017,0.00015230804,0.00014659339,0.00002766548],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024410937,0.00006573305,0.005627578,0.000011432756,1.4665805e-7,0.00000771977,0.00004235157,0.001159206,0.96265894,0.024340775,0.000026274527,0.0058157584],"study_design_scores_gemma":[0.0012804319,0.00083751243,0.45064592,0.0000054908433,0.000008417934,0.000027245153,0.000048499835,0.0065574306,0.5383889,0.001528014,0.00040742944,0.00026471118],"about_ca_topic_score_codex":0.000028453962,"about_ca_topic_score_gemma":0.00009758646,"teacher_disagreement_score":0.44501832,"about_ca_system_score_codex":0.000026633266,"about_ca_system_score_gemma":0.000067874316,"threshold_uncertainty_score":0.57692015},"labels":[],"label_agreement":null},{"id":"W2135861359","doi":"10.1093/cercor/bhr181","title":"Resting-State Connectivity Identifies Distinct Functional Networks in Macaque Cingulate Cortex","year":2011,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research","keywords":"Macaque; Neuroscience; Cingulate cortex; Functional connectivity; Anterior cingulate cortex; Psychology; Cortex (anatomy); Biology; Cognition; Central nervous system","score_opus":0.041754234605938384,"score_gpt":0.24127323028007602,"score_spread":0.19951899567413764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135861359","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98919535,0.000012094776,0.0022731381,0.00006051107,0.001928116,0.00029908313,0.000017893759,0.00018289211,0.0060309195],"genre_scores_gemma":[0.99697566,0.000010389806,0.000025700525,0.00043546793,0.0001360487,0.000023411061,0.000017470617,0.000036027333,0.0023398367],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978441,0.00017965639,0.00041027297,0.0007632191,0.00028077193,0.0005219735],"domain_scores_gemma":[0.99900717,0.00027242972,0.00020683801,0.0003258921,0.000055634515,0.00013202144],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002266602,0.0002631184,0.00026440015,0.00015109901,0.00025626062,0.000094039715,0.0002283426,0.000099838755,0.00045960647],"category_scores_gemma":[0.0004457529,0.0002473871,0.000105725354,0.000504585,0.00019689542,0.0003898516,0.00015810318,0.0004528401,0.000093176786],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018892544,0.0008255306,0.57986367,0.00013091981,0.000045042547,0.0011668795,0.00090776716,0.0026814237,0.36785427,0.020071996,0.0025024258,0.022060808],"study_design_scores_gemma":[0.0005516923,0.00011977663,0.9291257,0.000036625155,0.000010679129,0.00007692165,0.000019165358,0.05581409,0.004546161,0.009286278,0.00008949682,0.000323409],"about_ca_topic_score_codex":0.00045672932,"about_ca_topic_score_gemma":0.0012206559,"teacher_disagreement_score":0.3633081,"about_ca_system_score_codex":0.00008331493,"about_ca_system_score_gemma":0.00004283885,"threshold_uncertainty_score":0.99999785},"labels":[],"label_agreement":null},{"id":"W2135964130","doi":"10.1177/0956797610371966","title":"Red Diffuse Light Suppresses the Accelerated Perception of Fear","year":2010,"lang":"en","type":"article","venue":"Psychological Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Parvocellular cell; Retina; Stimulus (psychology); Psychology; Neuroscience; Perception; Visual system; Dorsum; Retinal; Chemistry; Communication; Biology; Cognitive psychology; Anatomy; Nucleus","score_opus":0.05639551977611659,"score_gpt":0.33866059213510213,"score_spread":0.28226507235898557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135964130","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9859627,9.693163e-7,0.000042018775,0.004251924,0.0009122183,0.00015342497,0.000002945827,0.000054126118,0.00861969],"genre_scores_gemma":[0.9986791,0.000016592128,0.00012349739,0.00089493964,0.000056147386,0.000008185462,3.7819493e-7,0.000003511474,0.00021766547],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986607,0.00006271754,0.00015804423,0.00047204594,0.0003913995,0.0002551217],"domain_scores_gemma":[0.99926347,0.00014385124,0.00007782736,0.00037480728,0.00006138856,0.000078687124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041767402,0.00008628946,0.00008550142,0.000048860053,0.00035207495,0.00010647802,0.0008072175,0.000057351503,0.0004530556],"category_scores_gemma":[0.0011212629,0.00004355805,0.00004097191,0.00090797624,0.0009804872,0.00024115884,0.00010320473,0.00028234604,0.000051330237],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019652167,0.00014218222,0.00046010027,9.038888e-7,1.605469e-7,0.0000015211689,0.000040663388,0.0000027080948,0.99313664,0.0018762164,0.00031029497,0.0040089325],"study_design_scores_gemma":[0.000402789,0.00036598873,0.4039151,0.0000055771516,0.000004346135,0.00006140577,0.000048019505,0.0028554704,0.58320516,0.0043769134,0.0045670117,0.00019217256],"about_ca_topic_score_codex":0.0000053756826,"about_ca_topic_score_gemma":0.0000030978129,"teacher_disagreement_score":0.40993148,"about_ca_system_score_codex":0.000007897963,"about_ca_system_score_gemma":0.000009694025,"threshold_uncertainty_score":0.4960641},"labels":[],"label_agreement":null},{"id":"W2136592274","doi":"10.1017/s0140525x03000025","title":"Convergence of biological and psychological perspectives on cognitive coordination in schizophrenia","year":2003,"lang":"en","type":"review","venue":"Behavioral and Brain Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":448,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Mental Health; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; VA Pittsburgh Healthcare System; Canada Research Chairs; McGill University; National Alliance for Research on Schizophrenia and Depression; American Psychological Association","keywords":"Schizophrenia (object-oriented programming); Cognition; Neuroscience; Psychology; Psychopathology; Cognitive psychology; NMDA receptor; Psychosis; Convergence (economics); Clinical psychology; Medicine; Receptor; Psychiatry","score_opus":0.25611598509164724,"score_gpt":0.427927077427422,"score_spread":0.17181109233577474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136592274","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6436139,0.3552359,0.000005003659,0.00009504931,0.0001985473,0.00053292006,0.00005306981,0.000013639257,0.00025198865],"genre_scores_gemma":[0.26097122,0.7388005,0.000037902675,0.00006381674,0.00001563785,0.000027277521,0.0000032599742,0.0000050326116,0.00007531016],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99798566,0.00038664232,0.00032688637,0.0008656203,0.00022371953,0.00021147617],"domain_scores_gemma":[0.99899256,0.00063450733,0.00021241208,0.00007290349,0.00002570664,0.00006190582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004450014,0.00023851721,0.0005728788,0.00024308375,0.00015300156,0.000058363974,0.00016729772,0.00017999027,0.00004444453],"category_scores_gemma":[0.0004026434,0.00014653764,0.00008193536,0.0007052587,0.0015114135,0.00012596014,0.00006447334,0.0002445274,0.000004601795],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004865408,0.0005388848,0.00043952485,0.00022133453,0.0000016779561,0.000025447938,0.00014732548,1.4527477e-7,0.000983573,0.009471621,0.000025729592,0.98809606],"study_design_scores_gemma":[0.028571416,0.17894128,0.104258224,0.10990339,0.0023761368,0.0077274023,0.030790405,0.0020035326,0.004803313,0.06055194,0.4440447,0.026028246],"about_ca_topic_score_codex":0.0000070970427,"about_ca_topic_score_gemma":0.0000031864613,"teacher_disagreement_score":0.96206784,"about_ca_system_score_codex":0.000017303164,"about_ca_system_score_gemma":0.00003177434,"threshold_uncertainty_score":0.59756315},"labels":[],"label_agreement":null},{"id":"W2136805364","doi":"10.1051/mmnp/20105204","title":"Noise Shaping in Neural Populations with Global Delayed Feedback","year":2010,"lang":"en","type":"article","venue":"Mathematical Modelling of Natural Phenomena","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Information transmission; Coupling strength; Excitatory postsynaptic potential; Artificial neural network; Transmission (telecommunications); Interval (graph theory); Computer science; Coupling (piping); Focus (optics); Biological neural network; Noise (video); Statistical physics; Physics; Network dynamics; Neuroscience; Topology (electrical circuits); Control theory (sociology); Inhibitory postsynaptic potential; Mathematics; Telecommunications; Artificial intelligence; Biology; Computer network; Machine learning; Engineering","score_opus":0.06733694742886716,"score_gpt":0.27541131615097325,"score_spread":0.2080743687221061,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136805364","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96521926,0.000017604587,0.031708356,0.00041711295,0.0002417536,0.00027074985,0.000012314901,0.00006750667,0.002045343],"genre_scores_gemma":[0.98644835,0.0000014810546,0.013251954,0.00014614973,0.000054731787,0.0000083756795,0.0000042640504,0.000017275459,0.000067440225],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99858344,0.000032352058,0.00038942098,0.0003468318,0.00033363182,0.00031430632],"domain_scores_gemma":[0.9993392,0.00015727463,0.00012569017,0.00024216788,0.000047804333,0.00008783918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012770065,0.00018224999,0.00025843733,0.000078743,0.00010175568,0.00005630406,0.00023584582,0.00006777995,0.000033690438],"category_scores_gemma":[0.00012764697,0.00013427052,0.000064746004,0.00044148657,0.00012567965,0.0002769081,0.0000588575,0.00044229222,0.000015348422],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057335047,0.00063101866,0.0005716408,0.00021196222,0.000013961518,0.00003086402,0.00039822768,0.35180077,0.15137775,0.4872694,0.000016774968,0.0071042674],"study_design_scores_gemma":[0.00035657542,0.00006718314,0.00030071972,0.000035014855,0.000009546731,0.000025192976,0.000013364919,0.9174096,0.00072696287,0.0808933,0.0000049360324,0.00015762246],"about_ca_topic_score_codex":0.000025357744,"about_ca_topic_score_gemma":0.000044295193,"teacher_disagreement_score":0.5656088,"about_ca_system_score_codex":0.000039011516,"about_ca_system_score_gemma":0.000015075565,"threshold_uncertainty_score":0.5475393},"labels":[],"label_agreement":null},{"id":"W2137058429","doi":"10.3389/fncom.2014.00123","title":"Structured chaos shapes spike-response noise entropy in balanced neural networks","year":2014,"lang":"en","type":"preprint","venue":"Frontiers in Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute on Drug Abuse; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Washington; Burroughs Wellcome Fund; National Institutes of Health; National Science Foundation","keywords":"Chaotic; Computer science; Spike train; Artificial neural network; Entropy (arrow of time); Statistical physics; Spike (software development); ENCODE; Stimulus (psychology); Pattern recognition (psychology); Physics; Artificial intelligence; Biology","score_opus":0.015427865304241544,"score_gpt":0.251185794075846,"score_spread":0.23575792877160448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137058429","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7982019,0.00004770547,0.18768848,0.0015918509,0.011322288,0.00090375205,0.0000870922,0.00012759522,0.000029305436],"genre_scores_gemma":[0.9926316,0.000038124144,0.0025849761,0.004297044,0.00020842045,0.000075567696,0.000031940435,0.000048429774,0.00008386103],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9945208,0.00093235134,0.00080498157,0.0019554503,0.00097008946,0.0008163589],"domain_scores_gemma":[0.99819875,0.0006606368,0.00046610564,0.0004115597,0.000070515765,0.00019241533],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006298584,0.0005650152,0.00063833717,0.00082366425,0.00021435852,0.00033934586,0.0013187692,0.00027891767,0.000010516364],"category_scores_gemma":[0.0015092168,0.0005776581,0.00017086368,0.0011015041,0.0005417638,0.00031354194,0.0007550544,0.0014527985,0.000003691868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005573513,0.00008002007,0.006378621,0.00002914249,8.934364e-7,0.00011122316,0.000048199312,0.974527,0.015700417,0.0003468696,0.00043807548,0.0017821828],"study_design_scores_gemma":[0.00067207403,0.00010416248,0.14126217,0.00005853413,0.000004050495,0.000027984846,0.0000057311863,0.8467499,0.0001925537,0.010308454,0.0001751191,0.00043926833],"about_ca_topic_score_codex":0.000018832478,"about_ca_topic_score_gemma":0.000009631214,"teacher_disagreement_score":0.19442971,"about_ca_system_score_codex":0.0002704538,"about_ca_system_score_gemma":0.00018931238,"threshold_uncertainty_score":0.99966747},"labels":[],"label_agreement":null},{"id":"W2137333905","doi":"10.3389/fnins.2012.00002","title":"Learning to Select Actions with Spiking Neurons in the Basal Ganglia","year":2012,"lang":"en","type":"article","venue":"Frontiers in Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":93,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Ontario Innovation Trust","keywords":"Basal ganglia; Striatum; Neuroscience; Dopaminergic; Neurophysiology; Neuroanatomy; Psychology; Spike (software development); Computer science; Ventral striatum; Dopamine; Central nervous system","score_opus":0.030373452495478112,"score_gpt":0.260737881368997,"score_spread":0.23036442887351888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137333905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98809755,0.00000789419,0.0054870923,0.0018700629,0.002326117,0.00037585862,0.0000020864354,0.00005690596,0.0017764367],"genre_scores_gemma":[0.9912022,0.000012816624,0.00042371164,0.007912941,0.00007102124,0.000041272284,3.165492e-7,0.000017557097,0.00031821284],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9979047,0.0003129453,0.00017305561,0.0004950721,0.0004256511,0.00068854395],"domain_scores_gemma":[0.9994114,0.00015871476,0.00006342173,0.00024431275,0.000011574143,0.00011058252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047148528,0.00015843955,0.00013067614,0.00032614687,0.0003462512,0.00013112044,0.0005205608,0.000032709922,0.00000340275],"category_scores_gemma":[0.0009300544,0.00011337147,0.000029690827,0.0025003972,0.00014786192,0.0006190522,0.00007735285,0.00056140014,0.000008730971],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001305201,0.0003422179,0.42799652,0.000013221267,5.609214e-7,0.00012284888,0.0032717783,0.017722031,0.53816736,0.001369763,0.0043298616,0.006533346],"study_design_scores_gemma":[0.0008879823,0.001421278,0.8446281,0.00007863065,0.000014431093,0.00016841863,0.0017603942,0.08550783,0.026621906,0.0007600202,0.037220884,0.00093014626],"about_ca_topic_score_codex":0.000021092032,"about_ca_topic_score_gemma":0.000025597423,"teacher_disagreement_score":0.5115454,"about_ca_system_score_codex":0.000066249384,"about_ca_system_score_gemma":0.000035457277,"threshold_uncertainty_score":0.46231544},"labels":[],"label_agreement":null},{"id":"W2137504569","doi":"10.1109/icsmc.1988.754362","title":"Adaptive Image Processing Using Nonlinear Inhibition","year":2005,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Image processing; Nonlinear system; Perspective (graphical); Computer science; Image (mathematics); Computer vision; Artificial intelligence; Lateral inhibition; Digital image processing; Neuroscience; Psychology","score_opus":0.043603514275762235,"score_gpt":0.28104071147695614,"score_spread":0.2374371972011939,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137504569","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9587492,0.000004839487,0.028589794,0.00058382854,0.00008530473,0.0001164146,0.0000044121293,0.00012360548,0.0117426],"genre_scores_gemma":[0.9831754,0.00000242284,0.014577157,0.0013844768,0.00019669591,0.0000017403687,0.000001352148,0.0000110834435,0.0006496562],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993756,0.000022033042,0.000107992026,0.0002191614,0.000131492,0.00014372394],"domain_scores_gemma":[0.9998028,0.00002212942,0.00004556413,0.00006477575,0.00002963689,0.000035060588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000051256564,0.00007270785,0.00005611669,0.00004889662,0.00014468012,0.00006616453,0.000036856498,0.000026726217,0.00008025927],"category_scores_gemma":[0.00003770651,0.00006084348,0.000026530543,0.00017558449,0.00004283331,0.0005378535,0.000027766666,0.00008138994,0.00007536147],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011624971,0.000031877145,0.000004932648,0.0000030985,2.169694e-7,0.0000044844237,0.00002414432,0.00021957624,0.9752667,0.00042671908,0.000044215976,0.023962393],"study_design_scores_gemma":[0.00010689359,0.000025347848,0.00002042926,0.000009112577,0.0000021292772,0.000023098393,0.000017377391,0.60598886,0.39303184,0.00018308648,0.0005222514,0.00006956914],"about_ca_topic_score_codex":0.000007394715,"about_ca_topic_score_gemma":0.0000067405754,"teacher_disagreement_score":0.6057693,"about_ca_system_score_codex":0.00004237735,"about_ca_system_score_gemma":0.000019947232,"threshold_uncertainty_score":0.2481125},"labels":[],"label_agreement":null},{"id":"W2137513148","doi":"10.3389/fncom.2013.00109","title":"Inferring trial-to-trial excitatory and inhibitory synaptic inputs from membrane potential using Gaussian mixture Kalman filtering","year":2013,"lang":"en","type":"article","venue":"Frontiers in Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"RIKEN Brain Science Institute; RIKEN; Natural Sciences and Engineering Research Council of Canada","keywords":"Inhibitory postsynaptic potential; Excitatory postsynaptic potential; Kalman filter; Gaussian; Neuroscience; Computer science; Artificial intelligence; Chemistry; Biology; Computational chemistry","score_opus":0.023498745126186205,"score_gpt":0.24860614291712108,"score_spread":0.22510739779093486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137513148","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92592573,0.000013894856,0.06554082,0.00054532866,0.006913368,0.00093160727,0.000018398092,0.00006561877,0.00004522248],"genre_scores_gemma":[0.98932517,0.0000064092173,0.0076501495,0.0026169529,0.00029258695,0.000040699477,0.0000042044576,0.0000253924,0.00003844967],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99735546,0.0002025949,0.00045286017,0.0009452279,0.0006139719,0.00042990726],"domain_scores_gemma":[0.9991814,0.00019989858,0.00015491835,0.00019835806,0.000041718784,0.00022373712],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000192537,0.00025217258,0.00027629343,0.000441305,0.0003471097,0.0003389646,0.0003552336,0.000089343725,0.00001510928],"category_scores_gemma":[0.0005134722,0.00025728648,0.000060920127,0.00063097285,0.00026256513,0.00083461194,0.0002535596,0.00032211238,0.000007660867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004750368,0.0001310128,0.0008136271,0.000021156335,0.0000038577114,0.000089901725,0.00018729037,0.1735063,0.8185061,0.00015079214,0.0004239563,0.0014156163],"study_design_scores_gemma":[0.025061334,0.00045511767,0.011783817,0.00008182989,0.000011352173,0.000039202525,0.000031129486,0.9524638,0.004380201,0.0050432757,0.00014331234,0.0005056428],"about_ca_topic_score_codex":0.0000627376,"about_ca_topic_score_gemma":0.000003294727,"teacher_disagreement_score":0.8141259,"about_ca_system_score_codex":0.00009766617,"about_ca_system_score_gemma":0.00009291715,"threshold_uncertainty_score":0.99998796},"labels":[],"label_agreement":null},{"id":"W2137578334","doi":"10.1016/s0925-2312(00)00222-8","title":"Encoding multiple orientations in a recurrent network","year":2000,"lang":"en","type":"article","venue":"Neurocomputing","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Division of Undergraduate Education; University of Toronto; York University; Office of Naval Research; Harvard University; Carnegie Mellon University; University of Arizona","keywords":"Computer science; Encoding (memory); Artificial intelligence","score_opus":0.03183598667537037,"score_gpt":0.26577225658209797,"score_spread":0.2339362699067276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137578334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925872,0.00000676287,0.0002658255,0.00019056229,0.0006127255,0.00019967534,0.0000013753288,0.0001073364,0.0060285027],"genre_scores_gemma":[0.9983571,0.000015955546,0.0002626428,0.0009435765,0.00021844197,0.000008360897,0.0000017832704,0.000013289089,0.00017882093],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988346,0.000109195294,0.0002263733,0.00036939292,0.00014072703,0.00031970756],"domain_scores_gemma":[0.99937195,0.00040657632,0.00004939436,0.000116130315,0.000008114853,0.000047815767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001084959,0.00009957391,0.00009552425,0.000057705787,0.00022099774,0.000056714613,0.00012493404,0.00002562623,0.00008098787],"category_scores_gemma":[0.0001676112,0.00010088743,0.000039769144,0.00056383084,0.0000206044,0.00011329607,0.000039081886,0.00021341593,0.00007036203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008940935,0.00021680658,0.01994859,0.000022190194,0.0000015748934,0.000117843134,0.00062897045,0.33337897,0.13314982,0.0029618656,0.00063420675,0.50884974],"study_design_scores_gemma":[0.0006894903,0.00011477938,0.024684453,0.00006962044,0.0000031490415,0.000047258047,0.000016567168,0.9572647,0.0030216863,0.00084930134,0.01299128,0.0002476955],"about_ca_topic_score_codex":0.000012891117,"about_ca_topic_score_gemma":0.000020403262,"teacher_disagreement_score":0.62388575,"about_ca_system_score_codex":0.000026824866,"about_ca_system_score_gemma":0.000010569351,"threshold_uncertainty_score":0.411407},"labels":[],"label_agreement":null},{"id":"W2137591123","doi":"10.1016/j.pneurobio.2012.02.005","title":"Mechanisms of physiological and epileptic HFO generation","year":2012,"lang":"en","type":"review","venue":"Progress in Neurobiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":313,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université Laval; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Gap junction; Excitatory postsynaptic potential; Coupling (piping); Inhibitory postsynaptic potential; Mechanism (biology); Biological neural network; Epilepsy; Nerve net; Bursting; Biology; Physics; Materials science","score_opus":0.14545179838467667,"score_gpt":0.3435170919997389,"score_spread":0.19806529361506223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137591123","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003944478,0.9939924,0.000045823446,0.000024507986,0.0011204389,0.00076198555,0.00003200015,0.000037442198,0.0000409237],"genre_scores_gemma":[0.04553535,0.9539481,0.000099207646,0.00009811176,0.000098966404,0.00013568198,0.0000412403,0.000024082026,0.000019298923],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99793226,0.00067563,0.00046559374,0.000559653,0.00006532059,0.00030154033],"domain_scores_gemma":[0.9991386,0.00024157409,0.00035236153,0.0002100736,0.000012911901,0.000044513305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016665191,0.00026495985,0.00089430704,0.00015516876,0.000040202594,0.000012315214,0.00020329132,0.00031088776,0.000023178998],"category_scores_gemma":[0.00011132899,0.00018487798,0.000114469425,0.00021505376,0.00026876258,0.000056744924,0.00019030468,0.000345011,0.0000108231725],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006255627,0.0001147029,0.000017204926,0.0017937402,0.000004668583,0.000009886604,0.0000058177075,7.2863816e-7,0.009336373,0.015468257,0.00000984086,0.9732325],"study_design_scores_gemma":[0.0022579273,0.0074104667,0.0015095627,0.006915469,0.0014681612,0.0023462446,0.00000902714,0.0048658866,0.009183934,0.018304903,0.9413046,0.004423772],"about_ca_topic_score_codex":5.920776e-7,"about_ca_topic_score_gemma":0.0000010596933,"teacher_disagreement_score":0.96880877,"about_ca_system_score_codex":0.000017210956,"about_ca_system_score_gemma":0.000020013726,"threshold_uncertainty_score":0.7539105},"labels":[],"label_agreement":null},{"id":"W2137591145","doi":"10.1123/mcj.14.3.323","title":"Oscillating in Synchrony with a Metronome: Serial Dependence, Limit Cycle Dynamics, and Modeling","year":2010,"lang":"en","type":"article","venue":"Motor Control","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Metronome; Limit cycle; Limit (mathematics); Dynamics (music); Statistical physics; Synchronization (alternating current); Parametric statistics; Mathematics; Computer science; Rhythm; Statistics; Physics; Mathematical analysis","score_opus":0.009775781783031836,"score_gpt":0.21284133413771034,"score_spread":0.2030655523546785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137591145","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894382,0.000007149131,0.009024884,0.00029712467,0.00037986034,0.00035962026,0.000020525493,0.00005141571,0.00042126258],"genre_scores_gemma":[0.9990927,0.0000033813767,0.00040873818,0.00023191977,0.00011934653,0.000028870603,0.0000013283102,0.000019984156,0.000093722236],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99890023,0.000047594578,0.00018860363,0.00040516636,0.00017310311,0.00028530497],"domain_scores_gemma":[0.9995059,0.00015142886,0.00006776611,0.00017091495,0.000023863317,0.00008014062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019342637,0.00014054378,0.00018577208,0.00011431837,0.00012315692,0.000109241584,0.00011780867,0.000071217495,0.000020475529],"category_scores_gemma":[0.0002527849,0.00011713187,0.000028959701,0.00014733236,0.00005730643,0.00024905673,0.000038341685,0.0003070583,0.0000049756595],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044888956,0.00006320589,0.022233019,0.000018461218,0.000008081023,0.00004149894,0.000075687196,0.020819763,0.93702537,0.0052954266,0.0000012674764,0.013969336],"study_design_scores_gemma":[0.0015030585,0.0001413022,0.003153169,0.000010675769,0.000008014232,0.000022076298,0.000019365187,0.9941998,0.00045437925,0.0003264068,0.000013916821,0.0001478275],"about_ca_topic_score_codex":0.00017063192,"about_ca_topic_score_gemma":0.0017630412,"teacher_disagreement_score":0.97338,"about_ca_system_score_codex":0.000047805257,"about_ca_system_score_gemma":0.000030237594,"threshold_uncertainty_score":0.47764993},"labels":[],"label_agreement":null},{"id":"W2137645264","doi":"10.1073/pnas.0508972103","title":"Perceptual moments of conscious visual experience inferred from oscillatory brain activity","year":2006,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Perception; Stimulus (psychology); Consciousness; Psychology; Cognitive psychology; Electroencephalography; Visual perception; Audiology; Neuroscience; Medicine","score_opus":0.047468776675318354,"score_gpt":0.31818817871129623,"score_spread":0.2707194020359779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137645264","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965253,0.00000880023,0.0000020630978,0.0011642408,0.000058894184,0.00014727605,0.000039134808,0.000013440734,0.0020408633],"genre_scores_gemma":[0.9993495,0.000004616119,0.0000939641,0.00032816626,0.00005642709,0.0000060821662,1.1506973e-7,0.0000038002202,0.0001573358],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99767685,0.000015795878,0.00043438224,0.00034321193,0.0013712943,0.00015846867],"domain_scores_gemma":[0.9985344,0.0003444799,0.0009453419,0.000010134919,0.00013675813,0.000028923281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054755376,0.00010538488,0.00018247316,0.00014074534,0.00020130382,0.000025248035,0.0006037492,0.000072153925,0.000023262664],"category_scores_gemma":[0.0015631187,0.0000745773,0.0000822304,0.0006861651,0.0016624656,0.0005894133,0.00017188166,0.00013494998,0.0000011916414],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021093621,0.000078186,0.010907777,0.000010346947,0.0000015988028,6.6850423e-9,0.00017304983,0.000076140095,0.98102224,0.007229909,0.0002710022,0.00020863317],"study_design_scores_gemma":[0.0001598643,0.000056609704,0.22016045,0.000026417038,0.0000029602984,0.000002393267,0.00012716823,0.0039992225,0.7611143,0.01422352,0.000053796095,0.000073290095],"about_ca_topic_score_codex":0.00006895856,"about_ca_topic_score_gemma":3.466095e-7,"teacher_disagreement_score":0.21990795,"about_ca_system_score_codex":0.000041892526,"about_ca_system_score_gemma":0.000038171736,"threshold_uncertainty_score":0.6125424},"labels":[],"label_agreement":null},{"id":"W2138128929","doi":"10.1371/journal.pone.0022885","title":"Fine-Tuning and the Stability of Recurrent Neural Networks","year":2011,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":90,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Universities Space Research Association; Ontario Innovation Trust","keywords":"Computer science; Learning rule; Attractor; Artificial neural network; Integrator; Variety (cybernetics); Context (archaeology); Recurrent neural network; Stability (learning theory); Artificial intelligence; Machine learning; Mathematics; Biology","score_opus":0.11912969164909515,"score_gpt":0.22877267408294094,"score_spread":0.10964298243384579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138128929","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984987,0.0000375398,0.000102961196,0.00022688886,0.000086631386,0.00016893342,0.0000030298208,0.00001866044,0.0008566912],"genre_scores_gemma":[0.99972713,0.000034279838,0.000054258217,0.00011870232,0.000027352506,0.000007088466,5.2265693e-7,0.000004661461,0.000026006905],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938846,0.00010874044,0.00012469132,0.00015242911,0.00012268744,0.000102979844],"domain_scores_gemma":[0.9995091,0.0002185188,0.000066745146,0.00015691586,0.00002219249,0.000026549078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017458499,0.00005492768,0.00010970767,0.000013485838,0.00006678974,0.000009971621,0.00008894598,0.000018873801,0.000040868756],"category_scores_gemma":[0.00029966337,0.000034736648,0.000023584731,0.00009140697,0.00017734485,0.000060052673,0.000066323795,0.00012226535,9.597364e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019384107,0.0029072668,0.06619411,0.00027424502,0.000061086364,0.000009827861,0.0028856213,0.000080464975,0.86342764,0.030829128,0.0000714425,0.03132077],"study_design_scores_gemma":[0.0009861493,0.00031286548,0.019000176,0.000056640267,0.00006578685,0.0000034026812,0.00003338363,0.82657886,0.15064974,0.0021570097,0.000008440874,0.00014757048],"about_ca_topic_score_codex":0.000016815466,"about_ca_topic_score_gemma":0.000012466451,"teacher_disagreement_score":0.8264984,"about_ca_system_score_codex":0.000004619076,"about_ca_system_score_gemma":0.000003053142,"threshold_uncertainty_score":0.14165193},"labels":[],"label_agreement":null},{"id":"W2138145511","doi":"10.1073/pnas.1008587107","title":"Biophysical information representation in temporally correlated spike trains","year":2010,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Stimulus (psychology); Computer science; Sensory system; Biological system; Neuroscience; Spike train; Adaptation (eye); Spike (software development); Artificial intelligence; Pattern recognition (psychology); Biology; Psychology","score_opus":0.04307485825057729,"score_gpt":0.30506366741242136,"score_spread":0.2619888091618441,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138145511","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99002296,5.288971e-7,0.0000012293442,0.0026029616,0.00007121061,0.00016577332,0.000007918468,0.000012047117,0.0071153617],"genre_scores_gemma":[0.99931824,0.000003256458,0.00018651623,0.00039705934,0.000030664745,0.0000053903696,2.2079843e-7,0.0000017200962,0.000056920802],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99864835,0.0000060244724,0.0003076245,0.00015811945,0.0007791565,0.00010073732],"domain_scores_gemma":[0.99939287,0.00011331433,0.0003579029,0.0000066041266,0.00010896649,0.000020371532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005436781,0.000060622657,0.000084295534,0.00020315197,0.000109410146,0.00003403133,0.00041610014,0.00006758652,0.000008946819],"category_scores_gemma":[0.0014460618,0.000041280837,0.000044143708,0.0011978599,0.00048651182,0.0013462979,0.000061563005,0.00025135573,0.0000031038373],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011165165,0.000026218178,0.0030769834,0.000008598007,4.526919e-7,3.1175638e-9,0.000096632044,0.00010116654,0.90753675,0.08854008,0.0000884504,0.0005135089],"study_design_scores_gemma":[0.00021418845,0.000041821626,0.16946469,0.000022672055,0.0000022544555,0.000008013445,0.00005977141,0.033662595,0.7488915,0.04745806,0.000106729116,0.000067732944],"about_ca_topic_score_codex":0.000009414517,"about_ca_topic_score_gemma":2.4329395e-7,"teacher_disagreement_score":0.1663877,"about_ca_system_score_codex":0.00001384012,"about_ca_system_score_gemma":0.000021376462,"threshold_uncertainty_score":0.1792573},"labels":[],"label_agreement":null},{"id":"W2138246486","doi":"10.1093/cercor/bhu154","title":"Dorsolateral Prefrontal Cortex Deactivation in Monkeys Reduces Preparatory Beta and Gamma Power in the Superior Colliculus","year":2014,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials; Western University; York University","funders":"Canadian Institutes of Health Research","keywords":"Dorsolateral prefrontal cortex; Neuroscience; Stimulus (psychology); Superior colliculus; Antisaccade task; Local field potential; Psychology; Prefrontal cortex; Cognition; Saccade; Eye movement; Cognitive psychology","score_opus":0.01293199784803042,"score_gpt":0.23368962081990688,"score_spread":0.22075762297187645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138246486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99710685,0.000013053728,0.000011949471,0.00036570537,0.0003197817,0.0004546731,0.0000062326903,0.000032013337,0.0016897281],"genre_scores_gemma":[0.9988834,0.000008189455,0.000012264434,0.00077534944,0.000055267265,0.000039267445,0.0000063462094,0.000015273026,0.00020464345],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99847335,0.00024816763,0.00028094105,0.0004764865,0.00023245961,0.000288593],"domain_scores_gemma":[0.99949884,0.00012537059,0.000088752175,0.00021615697,0.0000165087,0.000054348282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002145925,0.00017157149,0.00018313054,0.00010611057,0.00011837989,0.0001217294,0.00019934845,0.00008615023,0.000030534728],"category_scores_gemma":[0.00010839677,0.00012557278,0.00003910038,0.00026800064,0.00010616686,0.00043870872,0.0000618237,0.00024384727,0.00001385425],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016276196,0.00011805458,0.04158612,0.000012455126,0.0000020723437,0.00001857053,0.0011524749,0.000021076512,0.9530198,0.0016563828,0.00012608903,0.0021241254],"study_design_scores_gemma":[0.000684235,0.00028893718,0.97326136,0.000025594129,0.0000048142533,0.00004320596,0.00016301626,0.009820607,0.014452073,0.0005360778,0.0005197473,0.00020031269],"about_ca_topic_score_codex":0.0001247123,"about_ca_topic_score_gemma":0.00034491727,"teacher_disagreement_score":0.93856776,"about_ca_system_score_codex":0.00006137794,"about_ca_system_score_gemma":0.000027404165,"threshold_uncertainty_score":0.51207095},"labels":[],"label_agreement":null},{"id":"W2138283682","doi":"10.1037/a0019670","title":"Infant attention and visual preferences: Converging evidence from behavior, event-related potentials, and cortical source localization.","year":2010,"lang":"en","type":"article","venue":"Developmental Psychology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Natural Sciences and Engineering Research Council of Canada","keywords":"Oddball paradigm; Psychology; Novelty; Event-related potential; Electroencephalography; Cognition; Cognitive psychology; Stimulus (psychology); Anterior cingulate cortex; N2pc; Neuroscience; Developmental psychology; Visual attention; Social psychology","score_opus":0.027938593730150035,"score_gpt":0.3102193660323034,"score_spread":0.2822807723021533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138283682","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924575,0.000029241624,0.0058376994,0.00024073198,0.00107108,0.00022817527,0.0000070394467,0.000063064486,0.000065465894],"genre_scores_gemma":[0.99854416,0.00011426966,0.00028188128,0.0008551166,0.000025098423,0.00002156666,0.000024851011,0.000013889145,0.00011916825],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99859583,0.00012066972,0.00031601355,0.0005820171,0.00016940369,0.00021607858],"domain_scores_gemma":[0.99950236,0.00015189957,0.00010338505,0.00008326324,0.000025332778,0.00013377183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015549951,0.00015038105,0.00014708893,0.00008282149,0.00025966,0.00007359943,0.00009443655,0.0001508923,0.00027720458],"category_scores_gemma":[0.000244778,0.0001394738,0.000021443948,0.00015511374,0.0002897956,0.00025090645,0.00011224872,0.00030488468,0.00003951326],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045762998,0.000051487896,0.16719949,0.0000042908546,0.0000056352283,0.000014413343,0.0001827246,0.000001391102,0.81964576,0.00012234459,0.000057217683,0.01266945],"study_design_scores_gemma":[0.0009010177,0.00014421975,0.976042,0.000051541,0.0000338539,0.00034066572,0.00013353156,0.009577246,0.0112066185,0.00067247805,0.00057754753,0.000319313],"about_ca_topic_score_codex":0.00006026293,"about_ca_topic_score_gemma":0.000057591747,"teacher_disagreement_score":0.8088425,"about_ca_system_score_codex":0.000014218379,"about_ca_system_score_gemma":0.00002685537,"threshold_uncertainty_score":0.56875765},"labels":[],"label_agreement":null},{"id":"W2138568412","doi":"10.1016/j.bbr.2004.06.025","title":"Structural encoding and recognition of biological motion: evidence from event-related potentials and source analysis","year":2004,"lang":"en","type":"article","venue":"Behavioural Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":130,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Volkswagen Foundation","keywords":"Biological motion; Stimulus (psychology); Psychology; Perception; Neuroscience; Fusiform gyrus; Event-related potential; Electroencephalography; Motion perception; Brain mapping; Communication; Cognition; Cognitive psychology","score_opus":0.2384993423734136,"score_gpt":0.3818646552618076,"score_spread":0.14336531288839396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138568412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977014,0.0001310394,0.00039604123,0.0013389229,0.00007086115,0.0002675311,0.00005122176,0.000032641197,0.000010328807],"genre_scores_gemma":[0.9995294,0.00011413565,0.00013978264,0.000051922034,0.000024438325,0.000009491558,0.000034277815,0.0000081345715,0.00008841893],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99775153,0.00056182896,0.00032495995,0.0005655206,0.0004904222,0.00030575285],"domain_scores_gemma":[0.9984729,0.0010060506,0.00010589396,0.00017186135,0.00011836666,0.00012489315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085297355,0.00012536225,0.00022810852,0.00032522934,0.0003085205,0.00010966286,0.00015341722,0.00012749915,0.0001348512],"category_scores_gemma":[0.0017218975,0.0001002562,0.000086250104,0.00096564734,0.00042640153,0.00029660098,0.00018759897,0.0003400917,0.000006123522],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080561425,0.000030461311,0.059632506,0.00000858634,0.000021204576,0.000024707162,0.00028354523,0.00017687866,0.9194002,0.00018244488,0.000005856273,0.020153051],"study_design_scores_gemma":[0.00088418677,0.0005005644,0.8378638,0.0001349211,0.0001117584,0.00006974877,0.00026805166,0.0067974,0.1337482,0.019348323,0.0000020362077,0.00027103847],"about_ca_topic_score_codex":0.0013338818,"about_ca_topic_score_gemma":0.000062144565,"teacher_disagreement_score":0.785652,"about_ca_system_score_codex":0.000050456343,"about_ca_system_score_gemma":0.000021458689,"threshold_uncertainty_score":0.4088329},"labels":[],"label_agreement":null},{"id":"W2138577122","doi":"10.1113/jphysiol.2012.234401","title":"Sub‐ and suprathreshold adaptation currents have opposite effects on frequency tuning","year":2012,"lang":"en","type":"article","venue":"The Journal of Physiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Adaptation (eye); Neuroscience; Biological system; Sensory system; Computer science; Physics; Biology","score_opus":0.037959379923807435,"score_gpt":0.27179575538747475,"score_spread":0.2338363754636673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138577122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99852663,0.00011678415,0.00013404393,0.00023251073,0.0008031636,0.00007249357,0.0000012261584,0.0000046963532,0.00010845645],"genre_scores_gemma":[0.99889666,0.00014169124,0.000017070492,0.0006150761,0.00030652268,8.785947e-7,5.1083356e-7,0.0000066289085,0.000014965669],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99921936,0.00029515458,0.0001421199,0.000067846166,0.00011343856,0.00016209164],"domain_scores_gemma":[0.99914163,0.00049752474,0.00019765834,0.000080567916,0.000025688085,0.000056952922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025269735,0.0000776905,0.000115470284,0.000054762033,0.000113202215,0.000009788897,0.00010437275,0.000030996416,0.0000048834745],"category_scores_gemma":[0.0001619628,0.000045473178,0.00003342268,0.000055061304,0.00005580666,0.0002125721,0.000027267963,0.00023189998,0.000008638346],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008725145,0.000032340547,0.00032716728,0.000008481071,0.0000036519461,0.000001449877,0.00025510418,0.00010807704,0.9950646,0.0010534457,0.000059943122,0.00299847],"study_design_scores_gemma":[0.00096315105,0.0020432353,0.10485829,0.00010406535,0.000068343004,0.00029752072,0.00009904546,0.0073452606,0.87485313,0.008980484,0.0001961149,0.0001913374],"about_ca_topic_score_codex":0.0000037701154,"about_ca_topic_score_gemma":9.771138e-7,"teacher_disagreement_score":0.12021146,"about_ca_system_score_codex":0.000016326721,"about_ca_system_score_gemma":0.000008222477,"threshold_uncertainty_score":0.18543424},"labels":[],"label_agreement":null},{"id":"W2139362780","doi":"10.1162/0899766054323017","title":"Supervised Learning in a Recurrent Network of Rate-Model Neurons Exhibiting Frequency Adaptation","year":2005,"lang":"en","type":"article","venue":"Neural Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Gradient descent; Artificial neural network; Computer science; Computational model; Activation function; Computation; Artificial intelligence; Algorithm; Mathematics","score_opus":0.051391914365334794,"score_gpt":0.27577400750869874,"score_spread":0.22438209314336394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139362780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9802618,0.000020029362,0.018050088,0.00061988336,0.00024883143,0.0002440287,0.0000023645002,0.00009225127,0.00046073075],"genre_scores_gemma":[0.9976781,0.000014458286,0.0017238104,0.00039527396,0.000107396154,0.000010369018,0.000020754733,0.00001831954,0.00003149751],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984715,0.0003111997,0.0004126941,0.00034479023,0.00020926737,0.00025057525],"domain_scores_gemma":[0.9993019,0.00031825164,0.00020052653,0.00007551321,0.00006118591,0.00004259073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022804772,0.0001339969,0.00015581463,0.0001003344,0.00012564729,0.000038365488,0.00009072912,0.000046203557,0.0000073171814],"category_scores_gemma":[0.00033327183,0.0001387549,0.000056036624,0.0004839973,0.00003104725,0.00038981278,0.000033717988,0.0002899824,0.000007772026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003446847,0.00003359965,0.00047794814,0.000011427872,4.453635e-7,0.0000026162393,0.00021661751,0.81814444,0.12219125,0.00084088667,0.000014932486,0.058031388],"study_design_scores_gemma":[0.00042372584,0.00016910792,0.0042573954,0.000033175143,0.000004200063,0.0000052921614,0.000025579668,0.99045485,0.0027062672,0.0017891723,0.000011968076,0.00011923533],"about_ca_topic_score_codex":0.000020885362,"about_ca_topic_score_gemma":0.00006832097,"teacher_disagreement_score":0.17231047,"about_ca_system_score_codex":0.00006189972,"about_ca_system_score_gemma":0.00003548294,"threshold_uncertainty_score":0.56582606},"labels":[],"label_agreement":null},{"id":"W2139651652","doi":"10.1109/5289.887455","title":"The race to the attractor model for classifying objects","year":2000,"lang":"en","type":"article","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Clutter; Key (lock); Artificial intelligence; Computer science; Process (computing); Artificial neural network; Object (grammar); Cognitive neuroscience of visual object recognition; Attractor; Pattern recognition (psychology); Computer vision; Machine learning; Radar; Mathematics","score_opus":0.10354637187741583,"score_gpt":0.2940407972838655,"score_spread":0.19049442540644967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139651652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9169953,0.00003583094,0.036520064,0.03417654,0.0034271916,0.0037156295,0.00006691515,0.0002124307,0.0048501384],"genre_scores_gemma":[0.9899094,0.0000542904,0.0003285794,0.0042099673,0.00020225115,0.00029417846,0.0000040239556,0.000025221723,0.0049720546],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980876,0.000099071745,0.00031730006,0.00036968137,0.0007867278,0.00033962535],"domain_scores_gemma":[0.999227,0.00016614962,0.00010758497,0.00030113015,0.00011574851,0.00008237136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006667263,0.00016976452,0.000106589665,0.00004210174,0.00085976126,0.00024727976,0.00030155096,0.00003479362,0.000050923765],"category_scores_gemma":[0.00023178605,0.00010352642,0.00008421405,0.00025829807,0.000049261536,0.00025505468,0.0000150787355,0.00012975803,0.00025529103],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027524793,0.000060567007,0.000047393605,0.000011433564,0.000008051854,6.4650885e-7,0.00034811485,0.019623075,0.83805263,0.00050590665,0.010279568,0.13078739],"study_design_scores_gemma":[0.0017463842,0.00032676657,0.0022465752,0.00004669929,0.00004974701,0.0000129587,0.00009832615,0.6805921,0.19696875,0.0012306296,0.11628063,0.00040040878],"about_ca_topic_score_codex":0.000004394093,"about_ca_topic_score_gemma":0.0001743119,"teacher_disagreement_score":0.660969,"about_ca_system_score_codex":0.00018133681,"about_ca_system_score_gemma":0.00006189727,"threshold_uncertainty_score":0.6612676},"labels":[],"label_agreement":null},{"id":"W2139681697","doi":"10.1016/j.neuron.2011.10.009","title":"Neuronal Basis for Object Location in the Vibrissa Scanning Sensorimotor System","year":2011,"lang":"en","type":"review","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":163,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Institute of Neurological Disorders and Stroke; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Percept; Neuroscience; Context (archaeology); Sensory system; Efferent Neuron; Efferent; Perception; Psychology; Computer science; Computer vision; Biology; Afferent","score_opus":0.09478068925201037,"score_gpt":0.30870088987862115,"score_spread":0.21392020062661077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139681697","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002764832,0.9664028,0.000798486,0.00026782314,0.010006617,0.011860576,0.00035890986,0.00055806444,0.0069818376],"genre_scores_gemma":[0.010059286,0.9868601,0.00004193923,0.00067443063,0.00080360466,0.0008678311,0.000044423396,0.00017172395,0.00047666227],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971975,0.0007444053,0.000555988,0.0008223674,0.0002883747,0.00039135688],"domain_scores_gemma":[0.9978086,0.0011842576,0.0003949788,0.0005218243,0.00003910524,0.000051287927],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00039296437,0.00039850248,0.0006784934,0.00023944961,0.0002012861,0.000120603254,0.00057189877,0.00017614441,0.0000061210612],"category_scores_gemma":[0.0006061653,0.0002726002,0.00032539686,0.00065586576,0.00004932374,0.00013341277,0.000063148684,0.0004905597,0.00006235033],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047573376,0.00009732236,0.0000037268896,0.01732075,0.000007574681,0.00005311782,0.00009538453,0.00003074867,0.00047791773,0.0050436114,0.00093804055,0.97588426],"study_design_scores_gemma":[0.00015180475,0.00033899382,0.00006844797,0.0028942497,0.00016359103,0.00021210636,0.000016096299,0.001372035,0.00006416359,0.00001869936,0.99436283,0.00033697204],"about_ca_topic_score_codex":0.00002842039,"about_ca_topic_score_gemma":0.0000057803954,"teacher_disagreement_score":0.9934248,"about_ca_system_score_codex":0.00012907518,"about_ca_system_score_gemma":0.00011996592,"threshold_uncertainty_score":0.99997264},"labels":[],"label_agreement":null},{"id":"W2139847983","doi":"10.1038/nn.3764","title":"Dynamic circuit motifs underlying rhythmic gain control, gating and integration","year":2014,"lang":"en","type":"review","venue":"Nature Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":368,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Western Hospital; York University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Center for Research Resources; National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; Canadian Institutes of Health Research","keywords":"Neuroscience; Gating; Biological neural network; Computer science; Premovement neuronal activity; Context (archaeology); Nerve net; Psychology; Biology","score_opus":0.05566565276555833,"score_gpt":0.33772824303439747,"score_spread":0.2820625902688391,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139847983","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00054131576,0.96259683,0.025636056,0.00033029827,0.006625755,0.0025628528,0.00012447374,0.00046433133,0.0011180774],"genre_scores_gemma":[0.12502785,0.87142795,0.0000631791,0.002817697,0.000111896814,0.00006805052,0.0000131056995,0.0000875006,0.00038275836],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9956372,0.00061931513,0.0006667007,0.0017551624,0.0006971171,0.00062450906],"domain_scores_gemma":[0.99718463,0.0013128927,0.0006989117,0.0005634371,0.000054559958,0.00018553561],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00063974515,0.0006431286,0.0011146303,0.0004088422,0.00061491074,0.00053407095,0.00068662106,0.0005395488,0.000005343647],"category_scores_gemma":[0.004126269,0.00050571305,0.00024343634,0.0011473423,0.00036548765,0.00044721505,0.00015951255,0.0024689299,0.00002140829],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005541382,0.000031310676,0.0000010231056,0.0017668186,0.0000018806651,0.000045415996,0.000014938595,0.00004467429,0.034429207,0.008151808,0.000033748067,0.95547366],"study_design_scores_gemma":[0.0012732316,0.0013118323,0.00013971601,0.012730177,0.0005087413,0.0034663288,0.000016962289,0.3259844,0.00025442732,0.0071363496,0.6442163,0.002961526],"about_ca_topic_score_codex":0.000003633846,"about_ca_topic_score_gemma":0.000010050022,"teacher_disagreement_score":0.9525121,"about_ca_system_score_codex":0.00016049597,"about_ca_system_score_gemma":0.00017965128,"threshold_uncertainty_score":0.9998324},"labels":[],"label_agreement":null},{"id":"W2139977347","doi":"10.3389/fnbeh.2014.00284","title":"The effect of probability discounting on reward seeking: a three-dimensional perspective","year":2014,"lang":"en","type":"article","venue":"Frontiers in Behavioral Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Canadian Institutes of Health Research; Concordia University","keywords":"Medial forebrain bundle; Lever; Brain stimulation reward; Integrator; Econometrics; Psychology; Computer science; Mathematics; Neuroscience; Physics; Striatum; Nucleus accumbens","score_opus":0.023277419866148903,"score_gpt":0.2787386850068818,"score_spread":0.2554612651407329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139977347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99471337,0.000008297119,0.0012533303,0.0004519856,0.002738513,0.00053972274,0.000009507733,0.000043890603,0.00024136706],"genre_scores_gemma":[0.9994622,0.0000023292775,0.00018752,0.0001836933,0.000032630945,0.000034946468,4.2433996e-7,0.0000147094515,0.00008156766],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9974024,0.00040968324,0.0003016328,0.00078760786,0.0006641049,0.00043455063],"domain_scores_gemma":[0.99883205,0.00042272528,0.00019023387,0.000443981,0.000041260344,0.000069735535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009517788,0.00020709053,0.00024758335,0.0001210461,0.0004478208,0.00009213414,0.00056402717,0.00005366261,0.0000012984908],"category_scores_gemma":[0.0017646584,0.00013330099,0.00010464177,0.000706906,0.0008556491,0.00024456822,0.00014827827,0.00037097826,0.0000022313864],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069320685,0.0003266906,0.37777913,0.00002611303,7.721619e-7,0.00002156303,0.00014227517,0.0031520547,0.59326696,0.007438723,0.00037885187,0.01677368],"study_design_scores_gemma":[0.0024911629,0.011027722,0.3811959,0.0002176651,0.000052408835,0.000056457404,0.0001047793,0.34322906,0.23425117,0.024739916,0.0015252319,0.0011085372],"about_ca_topic_score_codex":0.00006164314,"about_ca_topic_score_gemma":0.000035147285,"teacher_disagreement_score":0.3590158,"about_ca_system_score_codex":0.00013580544,"about_ca_system_score_gemma":0.000030268777,"threshold_uncertainty_score":0.54358566},"labels":[],"label_agreement":null},{"id":"W2140187652","doi":"10.1016/j.neuroimage.2010.01.080","title":"Linking brain-wide multivoxel activation patterns to behaviour: Examples from language and math","year":2010,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Science Council; Ontario Ministry of Research and Innovation; Canada Research Chairs; National Science Foundation","keywords":"Voxel; Artificial intelligence; Pattern recognition (psychology); Computer science; Classifier (UML); Support vector machine; Multivariate statistics; Feature selection; Machine learning","score_opus":0.02450703647684373,"score_gpt":0.2673199946042806,"score_spread":0.24281295812743683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140187652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956561,0.0000010161389,0.0012122018,0.0020298334,0.00048001096,0.00023428934,0.000094163224,0.00013385243,0.00015854898],"genre_scores_gemma":[0.99096155,0.0000027936746,0.0004540635,0.008105874,0.00015168522,0.000012407444,0.000022852751,0.00003317703,0.00025561146],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99883485,0.000060128088,0.00014887711,0.00053539395,0.00020045732,0.0002202843],"domain_scores_gemma":[0.99858016,0.0009279056,0.000068986694,0.00029738064,0.000017455897,0.00010811395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008300536,0.00015208939,0.00011524828,0.00008649154,0.00015093392,0.00017692761,0.00016099686,0.0000591612,0.000047819198],"category_scores_gemma":[0.0010572905,0.00014160282,0.000034492037,0.000116357354,0.000036487912,0.00026251862,0.00013362398,0.00034731004,0.000036203808],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001388455,0.000032022795,0.022741634,0.0000049911355,5.7138305e-7,0.00003612968,0.00038173256,0.0000025196841,0.9656146,0.00017918972,0.00011120299,0.0108815],"study_design_scores_gemma":[0.00033458968,0.000081481245,0.54988045,0.000021449403,0.0000068491604,0.000014349958,0.00006532303,0.0023918843,0.4447023,0.00014852957,0.0021357934,0.00021700858],"about_ca_topic_score_codex":0.0003400402,"about_ca_topic_score_gemma":0.0001888255,"teacher_disagreement_score":0.5271388,"about_ca_system_score_codex":0.000009225742,"about_ca_system_score_gemma":0.00000783314,"threshold_uncertainty_score":0.5774396},"labels":[],"label_agreement":null},{"id":"W2140331432","doi":"10.1073/pnas.190179997","title":"Surgically created neural pathways mediate visual pattern discrimination","year":2000,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"National Institute of Mental Health; Medical Research Council Canada; Medical Research Council; Stryker","keywords":"Visual cortex; Neuroscience; Visual system; Retina; Retinal; Thalamus; Lateral geniculate nucleus; Biology; Cortex (anatomy); Neural substrate; Auditory cortex; Anatomy; Cognition","score_opus":0.05498994415561367,"score_gpt":0.2974334836353895,"score_spread":0.24244353947977584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140331432","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897643,0.000009530528,7.734109e-7,0.0026718166,0.00003607874,0.00014545882,0.00001935219,0.000024291507,0.007328443],"genre_scores_gemma":[0.99877155,0.000053549305,0.000026080052,0.0007550317,0.00006473913,0.000006973351,2.880318e-7,0.0000047641774,0.00031701976],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979142,0.000016741478,0.0003198894,0.00031539018,0.0012582708,0.00017550177],"domain_scores_gemma":[0.99936783,0.00019241426,0.00027497602,0.000006503184,0.000118130665,0.00004011967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000609928,0.000102951926,0.0001256427,0.00011656359,0.0002489837,0.00004610484,0.0005778081,0.00006153978,0.00010729966],"category_scores_gemma":[0.00050511543,0.00006451601,0.000080031576,0.00076030835,0.0006068395,0.0005996856,0.00007264714,0.00015107325,0.000005463492],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026326448,0.00007471391,0.0015656904,0.000021057034,0.0000019117238,2.98255e-8,0.00009839787,0.00020039396,0.96852577,0.00992122,0.00011231216,0.019452164],"study_design_scores_gemma":[0.00031860036,0.00014788032,0.13931075,0.00006597892,0.0000113621445,0.000023904266,0.00004639496,0.08385139,0.75226057,0.02360607,0.0001961005,0.0001609999],"about_ca_topic_score_codex":0.000005410065,"about_ca_topic_score_gemma":6.814487e-8,"teacher_disagreement_score":0.21626522,"about_ca_system_score_codex":0.000022119193,"about_ca_system_score_gemma":0.000014111783,"threshold_uncertainty_score":0.26308867},"labels":[],"label_agreement":null},{"id":"W2140398789","doi":"10.1523/jneurosci.2059-10.2010","title":"Low-Intensity Electrical Stimulation Affects Network Dynamics by Modulating Population Rate and Spike Timing","year":2010,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":602,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"La Cité Collégiale","funders":"National Institute of Mental Health; U.S. Public Health Service; National Institutes of Health","keywords":"Neuroscience; Physics; Stimulation; Electric field; Local field potential; Amplitude; Biological system; Psychology; Biology; Optics","score_opus":0.01856244717168315,"score_gpt":0.2584541168667558,"score_spread":0.23989166969507264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140398789","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99011165,0.000004435365,0.007430202,0.0003098972,0.001966534,0.00011813284,0.0000022753352,0.000023801222,0.000033081596],"genre_scores_gemma":[0.9984724,0.000015756244,0.00036098415,0.00088098174,0.00020157354,5.1806796e-7,0.0000010520033,0.000013435045,0.000053285345],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985241,0.000112591326,0.00033478154,0.00032513574,0.00039567135,0.00030766428],"domain_scores_gemma":[0.9988201,0.00032000244,0.00049549126,0.00012880447,0.00008604201,0.00014951269],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006006159,0.0001409577,0.00020087436,0.00011349903,0.00037119453,0.0001863443,0.00019226257,0.00006868623,0.0000020410832],"category_scores_gemma":[0.0018772136,0.0001201305,0.000058579706,0.0005387138,0.00010064194,0.00069279625,0.00006610128,0.00058191264,8.1638893e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043810025,0.00003228814,0.011388623,0.000004698498,3.4582274e-7,0.00002117388,0.000008270148,0.009934851,0.9728348,0.00043801565,0.000081124796,0.0052119875],"study_design_scores_gemma":[0.00019404224,0.00023882942,0.22031014,0.000016641809,0.0000071427385,0.00030467362,0.0000012842994,0.7670328,0.010942439,0.0008118728,0.000032610267,0.00010754341],"about_ca_topic_score_codex":0.000006226348,"about_ca_topic_score_gemma":0.000007923902,"teacher_disagreement_score":0.96189237,"about_ca_system_score_codex":0.000044636912,"about_ca_system_score_gemma":0.000023378827,"threshold_uncertainty_score":0.48987797},"labels":[],"label_agreement":null},{"id":"W2140641176","doi":"10.1093/cercor/bhh041","title":"Kindling Changes Burst Firing, Neural Synchrony and Tonotopic Organization of Cat Primary Auditory Cortex","year":2004,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Kindling; Tonotopy; Auditory cortex; Neuroscience; Stimulation; Brainstem; Amygdala; Cortex (anatomy); Psychology","score_opus":0.013008423353659643,"score_gpt":0.21763909206082652,"score_spread":0.20463066870716687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140641176","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99742573,0.000043833545,0.0003387875,0.0004819725,0.0011151724,0.00023438215,0.000011208274,0.00008911202,0.00025979945],"genre_scores_gemma":[0.9984532,0.00006211653,0.00011559952,0.0008019078,0.00027498248,0.0000047084445,0.000020822596,0.000028379032,0.00023830551],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988975,0.000033871056,0.00020741619,0.0004093445,0.00021509395,0.00023680997],"domain_scores_gemma":[0.9994233,0.0000576729,0.00017298455,0.00020523863,0.00005791457,0.000082876635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005423599,0.00016482788,0.00019667082,0.000091511065,0.00016748266,0.000047126185,0.00015080796,0.00008228836,0.000056151508],"category_scores_gemma":[0.0001376483,0.0001559351,0.00003170822,0.00028608434,0.00012815859,0.0002113715,0.0001107337,0.00012383808,0.000012053473],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000152082075,0.000050895218,0.0076077376,0.000115886,0.000005463284,0.000019399185,0.00018060538,0.00013968625,0.9804201,0.00310248,0.00006101652,0.008281485],"study_design_scores_gemma":[0.0014708161,0.000532404,0.8539824,0.00011632318,0.000051331914,0.00015125851,0.00007053447,0.0026386857,0.1376306,0.0023716341,0.0004512789,0.00053276133],"about_ca_topic_score_codex":0.00004152846,"about_ca_topic_score_gemma":0.000050740728,"teacher_disagreement_score":0.84637463,"about_ca_system_score_codex":0.00010268873,"about_ca_system_score_gemma":0.000056751862,"threshold_uncertainty_score":0.6358849},"labels":[],"label_agreement":null},{"id":"W2141468617","doi":"10.1152/jn.01063.2002","title":"Slow Periodic Events and Their Transition to Gamma Oscillations in the Entorhinal Cortex of the Isolated Guinea Pig Brain","year":2003,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Center for Research Resources","keywords":"Entorhinal cortex; Depolarization; Neuroscience; Biophysics; Chemistry; Hippocampal formation; Electrophysiology; Neocortex; Cortex (anatomy); Cholinergic; Guinea pig; Local field potential; Biology; Endocrinology","score_opus":0.016840667868807377,"score_gpt":0.2391941722288036,"score_spread":0.22235350435999623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141468617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952478,0.000005622526,0.0001979336,0.0039121048,0.00042890428,0.0001501959,0.000006969563,0.0000024635256,0.00004805378],"genre_scores_gemma":[0.9969663,0.000025861025,0.000011115852,0.0029104778,0.000043998072,0.0000014124765,2.8341555e-7,0.0000067285955,0.000033835266],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99858946,0.00068471394,0.00031554519,0.00013975399,0.00013710669,0.00013342225],"domain_scores_gemma":[0.9992661,0.00030366794,0.0002039349,0.00014080989,0.000049882205,0.000035643232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012403689,0.000094697774,0.00016577278,0.000095104784,0.000109777895,0.000013482541,0.00020165676,0.000035280893,0.000010548538],"category_scores_gemma":[0.00043104374,0.000049092898,0.000087841625,0.0003578497,0.000081907856,0.00008062726,0.000018282082,0.00024472302,0.0000014019831],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009370539,0.000057389592,0.00008461469,0.000004116535,0.000002155471,0.000008648639,0.00054390886,0.001036519,0.9976025,0.00024482916,0.000034701854,0.00028686214],"study_design_scores_gemma":[0.00215446,0.0051518804,0.9300237,0.00009837102,0.000038799524,0.00234276,0.00044620768,0.017875878,0.028841814,0.0076654623,0.0050549936,0.00030563524],"about_ca_topic_score_codex":0.0000035968303,"about_ca_topic_score_gemma":0.0000030810966,"teacher_disagreement_score":0.9687607,"about_ca_system_score_codex":0.000012988228,"about_ca_system_score_gemma":0.00003224657,"threshold_uncertainty_score":0.20019503},"labels":[],"label_agreement":null},{"id":"W2141666484","doi":"10.1142/s0218127409023731","title":"AN ERGODIC THEORY OF CONSCIOUSNESS","year":2009,"lang":"en","type":"article","venue":"International Journal of Bifurcation and Chaos","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Ergodic theory; Chaotic; Probabilistic logic; Invariant (physics); Mixing (physics); Consciousness; Nonlinear system; Computer science; Dynamical systems theory; Statistical physics; Mathematics; Pure mathematics; Artificial intelligence; Physics; Psychology","score_opus":0.018171113376818676,"score_gpt":0.285364939117526,"score_spread":0.26719382574070727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141666484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927475,0.000037761172,0.003998668,0.0019894482,0.00057675503,0.000035491907,0.0000053931644,0.000006700066,0.00060227216],"genre_scores_gemma":[0.9983765,0.00012682119,0.000063707615,0.0012084654,0.00013749996,2.932443e-7,0.0000013558916,0.0000027524036,0.0000826295],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99930847,0.000061615385,0.00023976044,0.00007810573,0.00026408077,0.00004795314],"domain_scores_gemma":[0.9993454,0.00007772249,0.0002711139,0.00005460594,0.00020539574,0.00004574296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021060306,0.000048394162,0.000079246674,0.00014966463,0.0000269424,0.000032103337,0.00017657148,0.000024688536,0.00003844827],"category_scores_gemma":[0.00013802992,0.000038712275,0.000036680893,0.00006132615,0.000052341344,0.000246313,0.000007384519,0.00007188708,0.0000016732921],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022989613,0.00018393068,0.00064037426,0.0000026410087,0.00000861835,0.000013328824,0.0003128907,0.000087531465,0.79039013,0.09514251,0.000074532785,0.112913616],"study_design_scores_gemma":[0.0032528643,0.0022320116,0.12916052,0.00017558283,0.000048774644,0.0016182055,0.0006867652,0.01130146,0.6504763,0.1963521,0.0043215854,0.00037384266],"about_ca_topic_score_codex":0.000001061404,"about_ca_topic_score_gemma":7.1451444e-7,"teacher_disagreement_score":0.13991384,"about_ca_system_score_codex":0.000014913753,"about_ca_system_score_gemma":0.000026989055,"threshold_uncertainty_score":0.15786408},"labels":[],"label_agreement":null},{"id":"W2142016817","doi":"10.1093/cercor/10.1.32","title":"Auditory Cortical Responses to the Interactive Effects of Interaural Intensity Disparities and Frequency","year":2000,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Stimulus (psychology); Audiology; Auditory cortex; Natural sounds; Acoustics; Psychology; Neuroscience; Physics; Cognitive psychology","score_opus":0.011951933873430036,"score_gpt":0.2443961037580653,"score_spread":0.23244416988463526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142016817","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99669874,0.000018038934,0.000049864193,0.0012188955,0.0010280912,0.00025647585,0.000014849321,0.000035765916,0.00067925284],"genre_scores_gemma":[0.9964237,0.000015954514,0.000022787623,0.002100179,0.000121345875,0.000013404165,0.0000013403896,0.0000101105,0.0012911696],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989896,0.00018438237,0.00018214397,0.00029330078,0.00015770216,0.0001929019],"domain_scores_gemma":[0.9988231,0.0008014431,0.000048359438,0.0002012271,0.000041942938,0.00008393129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007780769,0.00012635664,0.00017378837,0.000048699738,0.00014944276,0.000047986658,0.00016474047,0.00003838467,0.00011832022],"category_scores_gemma":[0.00090429315,0.00008379404,0.00005443664,0.0001346838,0.00024267011,0.00018630516,0.000089893234,0.0002490754,0.000046228666],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023722677,0.00017679558,0.017360553,0.000100969664,0.000027550348,0.000088847955,0.0014680839,0.0000068672866,0.93562526,0.0054793116,0.0052341484,0.032059338],"study_design_scores_gemma":[0.0003377004,0.0008331278,0.9413596,0.00009860287,0.000025614452,0.00009030625,0.000090328205,0.001459326,0.05294687,0.0018932512,0.00065775384,0.00020754778],"about_ca_topic_score_codex":0.00009956368,"about_ca_topic_score_gemma":0.000047903366,"teacher_disagreement_score":0.923999,"about_ca_system_score_codex":0.000029427534,"about_ca_system_score_gemma":0.000016576076,"threshold_uncertainty_score":0.3417022},"labels":[],"label_agreement":null},{"id":"W2142316811","doi":"10.1007/s10827-011-0372-6","title":"Network bursting using experimentally constrained single compartment CA3 hippocampal neuron models with adaptation","year":2011,"lang":"en","type":"article","venue":"Journal of Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Waterloo; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bursting; Neuroscience; Hippocampal formation; Network model; Context (archaeology); Excitatory postsynaptic potential; Computer science; Glutamatergic; Population; Network dynamics; Biological system; Biology; Artificial intelligence; Glutamate receptor; Mathematics; Inhibitory postsynaptic potential","score_opus":0.1690258683120918,"score_gpt":0.27494383384103105,"score_spread":0.10591796552893926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142316811","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7383143,0.000015392627,0.26027492,0.000093255985,0.0007477521,0.00014581055,0.0000035111823,0.000023543644,0.00038155838],"genre_scores_gemma":[0.9749853,0.0000023331697,0.023649447,0.0012188583,0.00011375446,0.0000015844761,9.0337386e-7,0.000017589835,0.00001023293],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99784005,0.00016454076,0.00052716484,0.00032700028,0.0008280068,0.00031326737],"domain_scores_gemma":[0.9986193,0.00021862314,0.00071422406,0.00009669618,0.0001959711,0.00015519031],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024552937,0.00018446679,0.00021536156,0.00014101036,0.000340837,0.000118281016,0.0002876694,0.000027057496,0.00001403178],"category_scores_gemma":[0.00009670449,0.0001518932,0.000069897076,0.00048218286,0.0003730146,0.00092495116,0.00005196111,0.00020277285,0.0000012617227],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016460365,0.00016776312,0.00008795969,0.000003545569,0.0000016151232,0.00009507775,0.00028947354,0.82312024,0.16673848,0.008849169,0.000011914728,0.00047014237],"study_design_scores_gemma":[0.00063344,0.0013337784,0.0016948893,0.00005555346,0.000016354034,0.0014463061,0.00009588902,0.97396564,0.0057944497,0.014761231,0.000019896639,0.00018255744],"about_ca_topic_score_codex":0.0000055307637,"about_ca_topic_score_gemma":9.853329e-7,"teacher_disagreement_score":0.23667105,"about_ca_system_score_codex":0.00008093628,"about_ca_system_score_gemma":0.00018867075,"threshold_uncertainty_score":0.61940247},"labels":[],"label_agreement":null},{"id":"W2142329149","doi":"10.1162/089976603322385063","title":"A Universal Model for Spike-Frequency Adaptation","year":2003,"lang":"en","type":"article","venue":"Neural Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":542,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Spike (software development); Time constant; Adaptation (eye); Biological system; Biological neuron model; Computer science; Generator (circuit theory); Current (fluid); Filter (signal processing); Neuroscience; Control theory (sociology); Physics; Artificial neural network; Artificial intelligence; Power (physics); Biology; Control (management)","score_opus":0.06699823300148582,"score_gpt":0.2725513951119858,"score_spread":0.20555316211049995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142329149","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42610657,0.0000039618494,0.5716935,0.00023800087,0.0003977522,0.00032860538,0.000010040349,0.00009554053,0.0011260493],"genre_scores_gemma":[0.9932203,0.0000024170813,0.005783186,0.000576622,0.000029295588,0.00001565358,0.000017311995,0.000015734478,0.00033944176],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915594,0.00007120764,0.00015072872,0.00029518918,0.00015586021,0.00017109168],"domain_scores_gemma":[0.9995741,0.0001552255,0.00008616249,0.00007477414,0.00006402864,0.0000456932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007602893,0.00010333392,0.00008199151,0.000077482815,0.0001763615,0.00004962163,0.00006558474,0.000040876675,0.000005630573],"category_scores_gemma":[0.00023178816,0.000102478385,0.000058538844,0.00018912819,0.000026169726,0.00031559184,0.0000076332,0.0000746536,0.000010586943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004416214,0.000041458574,0.000029672547,0.000014998916,0.0000014373626,0.0000032698738,0.00020774617,0.7086159,0.18659481,0.09419315,0.00018476741,0.0100686],"study_design_scores_gemma":[0.00045668273,0.0001284352,0.00006892497,0.000002944451,0.000006845692,0.00001057886,0.000023236607,0.95799303,0.0045625144,0.036562096,0.00007514464,0.00010954105],"about_ca_topic_score_codex":0.000005668519,"about_ca_topic_score_gemma":0.000007856264,"teacher_disagreement_score":0.56711376,"about_ca_system_score_codex":0.000050335984,"about_ca_system_score_gemma":0.00003437526,"threshold_uncertainty_score":0.41789472},"labels":[],"label_agreement":null},{"id":"W2143584197","doi":"10.1109/tbme.2003.820999","title":"Biomagnetic Source Detection by Maximum Entropy and Graphical Models","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université de Montréal","funders":"Centre de Recherches Mathématiques","keywords":"Magnetoencephalography; Entropy (arrow of time); Principle of maximum entropy; Probabilistic logic; Random variable; Mutual information; Computer science; Inverse problem; Regularization (linguistics); Markov random field; Measure (data warehouse); Markov process; Artificial intelligence; Algorithm; Pattern recognition (psychology); Mathematics; Data mining; Statistics; Electroencephalography; Physics","score_opus":0.00815340251252965,"score_gpt":0.19010831734944203,"score_spread":0.18195491483691237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143584197","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2608343,0.0000163004,0.73784226,0.00046435534,0.00052292953,0.00009963997,0.000015360343,0.00019676492,0.000008078024],"genre_scores_gemma":[0.99926305,0.00011583495,0.00028177982,0.0002103971,0.000037538284,0.000024639026,0.0000014082466,0.000026051845,0.0000393099],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988669,0.000016761775,0.00018187518,0.00036559207,0.0002905986,0.0002782674],"domain_scores_gemma":[0.9995431,0.00008051037,0.000022332773,0.00012451757,0.000008973548,0.00022059222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005735789,0.00016736116,0.00012301619,0.00023067583,0.00014683628,0.00004358574,0.000086309985,0.00012966966,0.000014604634],"category_scores_gemma":[0.000014358282,0.0001556402,0.00006643599,0.00045499695,0.000120571334,0.00014152916,0.000001695475,0.00030440683,0.000011856136],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002104196,0.00010533565,6.794483e-8,0.000013101254,0.0000044337244,0.00000686798,0.000021823793,0.046141773,0.92352074,0.00015325702,0.000004594606,0.030006982],"study_design_scores_gemma":[0.00086756924,0.00044016403,0.0000070096094,0.000024571877,0.000017655571,0.00012012464,0.00000635381,0.5636127,0.4323573,0.0010856523,0.0012262382,0.00023461496],"about_ca_topic_score_codex":0.000027059918,"about_ca_topic_score_gemma":0.0000020250418,"teacher_disagreement_score":0.7384287,"about_ca_system_score_codex":0.000055795957,"about_ca_system_score_gemma":0.000008535213,"threshold_uncertainty_score":0.6346823},"labels":[],"label_agreement":null},{"id":"W2143833450","doi":"10.1007/s11571-008-9046-0","title":"Tracking population densities using dynamic neural fields with moderately strong inhibition","year":2008,"lang":"en","type":"article","venue":"Cognitive Neurodynamics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Decoding methods; Computer science; Tracking (education); Noise (video); Population; Artificial neural network; SIGNAL (programming language); Orientation (vector space); Algorithm; Artificial intelligence; Real-time computing; Mathematics; Image (mathematics)","score_opus":0.0623107784109526,"score_gpt":0.27456311210968487,"score_spread":0.21225233369873225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143833450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96821743,0.000008361752,0.030343814,0.00010083155,0.00040169913,0.00039079014,0.00005367607,0.00018805415,0.00029532748],"genre_scores_gemma":[0.99863833,0.000028651844,0.00011987705,0.000877278,0.00007340677,0.000011508706,0.000086873784,0.00006457612,0.000099491604],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980332,0.0001792646,0.00030518253,0.0006634162,0.00039563706,0.00042329272],"domain_scores_gemma":[0.99911505,0.00026105245,0.00019441487,0.00016747093,0.0001695785,0.00009241357],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006147214,0.00031218425,0.00024680365,0.0002005257,0.00069709297,0.00011816903,0.00008836334,0.00011037867,0.000010327468],"category_scores_gemma":[0.00022865487,0.00029472582,0.0000866736,0.00039206637,0.00019764704,0.00081134436,0.000060599596,0.00043388712,0.0000072573334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031350062,0.00066959433,0.020663967,0.00020911203,0.000054820695,0.0037506712,0.0016894711,0.43553808,0.50178486,0.0035618134,0.000016266125,0.028926343],"study_design_scores_gemma":[0.0006186388,0.0002702322,0.045785468,0.0000607118,0.000037064125,0.0008471373,0.00011245794,0.94712406,0.0044802306,0.00030754047,0.0000012693646,0.00035520722],"about_ca_topic_score_codex":0.00005046393,"about_ca_topic_score_gemma":0.00012181527,"teacher_disagreement_score":0.51158595,"about_ca_system_score_codex":0.000101443766,"about_ca_system_score_gemma":0.000041845968,"threshold_uncertainty_score":0.99995047},"labels":[],"label_agreement":null},{"id":"W2144112898","doi":"10.1093/cercor/bhs389","title":"Effects of Neural Synchrony on Surface EEG","year":2012,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":130,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Electroencephalography; Neuroscience; Psychology; Neural correlates of consciousness; EEG-fMRI; Cognitive psychology; Computer science; Cognition","score_opus":0.015313794459314327,"score_gpt":0.24111184891593235,"score_spread":0.22579805445661802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144112898","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99539196,0.00004455223,0.000038131537,0.00012293694,0.0014931745,0.00022170565,0.00000613804,0.000066391,0.0026150027],"genre_scores_gemma":[0.99807215,0.000007691954,0.00002056402,0.00085183664,0.00009725594,0.0000033556084,0.0000021134138,0.000019413,0.0009256027],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99893117,0.000094113784,0.00015701215,0.00023922787,0.0002363394,0.00034212117],"domain_scores_gemma":[0.9992527,0.00031860764,0.000094284755,0.00020266985,0.000015917934,0.00011583231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007164377,0.00014061733,0.00016032804,0.000039412414,0.00007881204,0.000017011136,0.00015464041,0.000054661807,0.00008087448],"category_scores_gemma":[0.00019438652,0.00011491235,0.000081863356,0.00019022715,0.000073417126,0.00021443193,0.00005580786,0.00015486892,0.00015261138],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004894844,0.0001463422,0.0040464005,0.00006085817,0.000002806503,0.0000061782603,0.000043989854,0.00006398007,0.98737246,0.004629916,0.00064533786,0.0029327746],"study_design_scores_gemma":[0.0006562566,0.0005741058,0.30825216,0.000036092326,0.000022719336,0.000025227326,0.000008883361,0.008633036,0.6803456,0.00028015298,0.00088609656,0.0002796664],"about_ca_topic_score_codex":0.0000127585845,"about_ca_topic_score_gemma":0.0000011324931,"teacher_disagreement_score":0.30702686,"about_ca_system_score_codex":0.000029221292,"about_ca_system_score_gemma":0.000009708858,"threshold_uncertainty_score":0.46859896},"labels":[],"label_agreement":null},{"id":"W2144263617","doi":"10.1016/j.shpsa.2010.07.001","title":"How we ought to describe computation in the brain","year":2010,"lang":"en","type":"article","venue":"Studies in History and Philosophy of Science Part A","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Argument (complex analysis); Computer science; Simple (philosophy); Function (biology); Control (management); Computation; Brain function; Theoretical computer science; Artificial intelligence; Epistemology; Algorithm; Psychology; Philosophy; Neuroscience","score_opus":0.1264682528193917,"score_gpt":0.3102724416242394,"score_spread":0.1838041888048477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144263617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9543928,0.0003112465,0.000022981825,0.03893744,0.0020878501,0.00027203024,0.000003341152,0.000010214684,0.003962133],"genre_scores_gemma":[0.99798375,0.000062041756,0.00011416991,0.0016542258,0.00007303064,0.00001879723,1.3485021e-7,0.0000024864796,0.000091389324],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990573,0.000062643274,0.00013562458,0.0003093736,0.00027394266,0.0001611381],"domain_scores_gemma":[0.99942297,0.000324213,0.000058014997,0.00012449066,0.000036842,0.00003346669],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007715957,0.00008037079,0.000120482786,0.00019898164,0.00019986434,0.00001794324,0.00024404751,0.000019033796,0.0000014940629],"category_scores_gemma":[0.0009317939,0.000057174206,0.000018129234,0.0005789075,0.0022686536,0.000272014,0.000078683624,0.0001685646,0.0000014152774],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008422254,0.00020910629,0.0013896793,0.00011759435,0.0000025027753,0.00003065133,0.04502963,0.00019119085,0.7709584,0.16440772,0.007951032,0.009628265],"study_design_scores_gemma":[0.0021306188,0.001991262,0.0151271,0.00053345767,0.00002121123,0.00011791802,0.008764538,0.007336743,0.024574077,0.584178,0.35388416,0.0013409853],"about_ca_topic_score_codex":0.000005536463,"about_ca_topic_score_gemma":0.00006842774,"teacher_disagreement_score":0.7463843,"about_ca_system_score_codex":0.000059774862,"about_ca_system_score_gemma":0.000031099153,"threshold_uncertainty_score":0.8358949},"labels":[],"label_agreement":null},{"id":"W2144296767","doi":"10.1152/jn.00306.2007","title":"Firing Dynamics of Cerebellar Purkinje Cells","year":2007,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Brain Institute; University of Calgary","funders":"","keywords":"Bistability; Purkinje cell; Neuroscience; Depolarization; Physics; Climbing fiber; Bifurcation; Dynamics (music); Biological system; Biophysics; Cerebellum; Biology; Nonlinear system","score_opus":0.019318764287643623,"score_gpt":0.2497959058101473,"score_spread":0.23047714152250368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144296767","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964765,0.000009066787,0.0009999858,0.00020455517,0.0017194933,0.00005132005,0.000004439415,0.0000083364785,0.0005263488],"genre_scores_gemma":[0.99887747,0.000096741154,0.0001624599,0.0005147266,0.00020506748,1.02514186e-7,3.6303817e-7,0.000016160686,0.00012693409],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987711,0.00009320094,0.0005329295,0.00016514659,0.00020562769,0.00023203206],"domain_scores_gemma":[0.9986725,0.00042093845,0.00057155814,0.00015910303,0.00009856022,0.0000773817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011052546,0.000110113375,0.00027153722,0.00018208077,0.000053119795,0.000008816313,0.000282995,0.000063246436,0.000023992336],"category_scores_gemma":[0.00022857616,0.00008883927,0.00015034093,0.00024039965,0.000114125614,0.00010437601,0.00006906427,0.000314308,0.000010020396],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015735379,0.00006883852,0.00003260999,0.000014682377,0.00000385781,0.00016475914,0.000015290563,0.001647654,0.9907245,0.00094635127,0.0000334934,0.0061906273],"study_design_scores_gemma":[0.0007601743,0.0025398456,0.016078288,0.000033887412,0.000031143605,0.0006952659,0.000022999055,0.0132146515,0.95740724,0.0066272137,0.0023726795,0.00021662176],"about_ca_topic_score_codex":0.0000016900166,"about_ca_topic_score_gemma":0.0000014805646,"teacher_disagreement_score":0.033317253,"about_ca_system_score_codex":0.000032177908,"about_ca_system_score_gemma":0.00002480852,"threshold_uncertainty_score":0.36227602},"labels":[],"label_agreement":null},{"id":"W2144301376","doi":"10.1038/sj.jcbfm.9600558","title":"Specific Subtypes of Cortical GABA Interneurons Contribute to the Neurovascular Coupling Response to Basal Forebrain Stimulation","year":2007,"lang":"en","type":"article","venue":"Journal of Cerebral Blood Flow & Metabolism","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":147,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Neuroscience; Stimulation; Basal forebrain; Acetylcholine; Interneuron; Cholinergic; Premovement neuronal activity; Chemistry; Cholinergic neuron; Biology; Inhibitory postsynaptic potential; Endocrinology","score_opus":0.01784245790920012,"score_gpt":0.25776816814539755,"score_spread":0.23992571023619744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144301376","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96471184,0.00011713105,0.02909599,0.0034420062,0.0021390652,0.00040966785,0.00003761924,0.000019394301,0.000027257358],"genre_scores_gemma":[0.99594533,0.000026284784,0.0011504038,0.0020402062,0.0007066541,0.0000021461087,0.0000012503212,0.000036403977,0.0000913412],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968754,0.00035456588,0.0010286057,0.00034366094,0.00092541124,0.00047232248],"domain_scores_gemma":[0.99714047,0.0013877877,0.000419512,0.0003744791,0.00033377076,0.00034400544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030257162,0.00023854764,0.0005049065,0.00039592863,0.0001714436,0.00010721897,0.00053638866,0.000080653874,0.000051619838],"category_scores_gemma":[0.0038565448,0.00016598644,0.00036479617,0.00073305523,0.000082019826,0.00028489772,0.00013989325,0.00057004497,0.000023883304],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0037850477,0.00019886422,0.0007724624,0.00000770812,0.000038572987,0.00012884446,0.0002842391,0.017918006,0.9729128,0.0012135898,0.00056874554,0.002171112],"study_design_scores_gemma":[0.0042807115,0.0019007038,0.27474552,0.00010628671,0.00038904956,0.00053698075,0.00009487463,0.03132252,0.6606951,0.0007848944,0.024662387,0.00048100803],"about_ca_topic_score_codex":0.0000049128494,"about_ca_topic_score_gemma":0.000012856296,"teacher_disagreement_score":0.31221774,"about_ca_system_score_codex":0.000030231133,"about_ca_system_score_gemma":0.000068518486,"threshold_uncertainty_score":0.676873},"labels":[],"label_agreement":null},{"id":"W2144372220","doi":"10.3389/fncel.2014.00452","title":"Subthreshold membrane currents confer distinct tuning properties that enable neurons to encode the integral or derivative of their input","year":2015,"lang":"en","type":"article","venue":"Frontiers in Cellular Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"National Institute of Neurological Disorders and Stroke; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Subthreshold conduction; Depolarization; Stimulus (psychology); Neuroscience; Neuron; Negative feedback; Physics; Coincidence detection in neurobiology; Biophysics; Voltage; Biology; Psychology","score_opus":0.12171601470915376,"score_gpt":0.26282500135671855,"score_spread":0.14110898664756477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144372220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9719394,0.000057087826,0.022102365,0.0009038901,0.0034446088,0.00077911484,0.000031017513,0.00006282603,0.00067968125],"genre_scores_gemma":[0.9970677,0.0000318556,0.00018484863,0.0012807202,0.000041889845,0.000043280183,0.0000022279823,0.000029765164,0.0013177262],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997165,0.0003713778,0.00038497362,0.000805306,0.0006738414,0.00059946417],"domain_scores_gemma":[0.998832,0.00013635565,0.00018964805,0.0005469123,0.000079865546,0.00021521446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005574453,0.00030544057,0.00034569576,0.00024681963,0.00026329648,0.00016286277,0.0012153048,0.000057886995,0.0000069377784],"category_scores_gemma":[0.0019421777,0.0001774202,0.000078942285,0.0012866108,0.00078152696,0.0005038591,0.0004407855,0.0003591093,0.000005044975],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025883323,0.00013955972,0.0090778805,0.000029188872,0.0000013623085,0.00004967638,0.0016558552,0.0023838256,0.9833276,0.00023509159,0.0014618137,0.0013792763],"study_design_scores_gemma":[0.00046420298,0.00043282274,0.00085484906,0.00008010623,0.0000080517575,0.000026628246,0.00088663015,0.16606973,0.8212497,0.00048633968,0.00912014,0.00032076213],"about_ca_topic_score_codex":0.00006384075,"about_ca_topic_score_gemma":0.000028037075,"teacher_disagreement_score":0.1636859,"about_ca_system_score_codex":0.00008388421,"about_ca_system_score_gemma":0.00018777703,"threshold_uncertainty_score":0.7234986},"labels":[],"label_agreement":null},{"id":"W2144398166","doi":"10.1093/cercor/bhq009","title":"Origin of Active States in Local Neocortical Networks during Slow Sleep Oscillation","year":2010,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":276,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Institute of Neurological Disorders and Stroke; Canadian Institutes of Health Research","keywords":"Neuroscience; Local field potential; Neuron; Slow-wave sleep; Premovement neuronal activity; Electrophysiology; Cortex (anatomy); Sleep (system call); Biology; Physics; Electroencephalography; Computer science","score_opus":0.012363783828806853,"score_gpt":0.24241076890654858,"score_spread":0.23004698507774174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144398166","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965074,0.000002094436,0.0018051399,0.00012911632,0.0007526235,0.00019100636,0.000007527099,0.00004134889,0.0005637668],"genre_scores_gemma":[0.99957347,0.000006792906,0.000041397616,0.00010805981,0.00008441266,0.0000069124926,0.000008191577,0.0000150670585,0.00015567747],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99888754,0.00004894374,0.00025768686,0.000337008,0.00019042318,0.00027837043],"domain_scores_gemma":[0.9994773,0.0001371049,0.000098505676,0.00017664666,0.000032316504,0.00007812202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007113119,0.00012373406,0.00016034354,0.000093944946,0.00006814538,0.000025552836,0.00012506657,0.000099051285,0.00010444354],"category_scores_gemma":[0.000119146134,0.00011107092,0.000051821917,0.00033528663,0.00015430829,0.0002281711,0.000056751378,0.0004080231,0.000013937889],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035662128,0.00012200588,0.047617346,0.000025132538,0.000004409632,0.000033758475,0.00011450209,0.008882284,0.9024286,0.009703948,0.000026453286,0.030684887],"study_design_scores_gemma":[0.000525194,0.000091423404,0.48374122,0.000011053311,0.000005203366,0.000016990503,0.000026875025,0.4706221,0.043250844,0.0014770082,0.000082240935,0.00014985012],"about_ca_topic_score_codex":0.00008561621,"about_ca_topic_score_gemma":0.000292575,"teacher_disagreement_score":0.8591778,"about_ca_system_score_codex":0.00003774558,"about_ca_system_score_gemma":0.000019795265,"threshold_uncertainty_score":0.45293406},"labels":[],"label_agreement":null},{"id":"W2144454458","doi":"10.1073/pnas.0508360103","title":"Serotonergic neuron diversity: Identification of raphe neurons with discharges time-locked to the hippocampal theta rhythm","year":2006,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":165,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Institute of Mental Health; Canadian Institutes of Health Research; Harvard University","keywords":"Serotonergic; Neuroscience; Hippocampal formation; Raphe nuclei; Raphe; Dorsal raphe nucleus; Biology; Forebrain; Serotonin; Neuron; Psychology; Central nervous system; Receptor","score_opus":0.02827047590585984,"score_gpt":0.253434500797266,"score_spread":0.22516402489140613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144454458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.987656,0.0000072918924,0.000004404364,0.0106547475,0.000037179456,0.00037834162,0.000029718589,0.000013854221,0.0012184896],"genre_scores_gemma":[0.9988592,0.0000067928972,0.000048311704,0.00039546133,0.000049100396,0.000010462742,1.879171e-7,0.0000047114677,0.00062576035],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979435,0.00002147593,0.0002922567,0.00032136138,0.0012716262,0.00014977934],"domain_scores_gemma":[0.9991098,0.00016421123,0.000518155,0.000020930149,0.00016168153,0.000025211179],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006951742,0.00010218984,0.00012613893,0.00014559076,0.00052244094,0.000040774215,0.0008872899,0.000034479566,0.000007488211],"category_scores_gemma":[0.0003074954,0.000053802043,0.00006709219,0.0012421019,0.00071306224,0.0004237393,0.0003073371,0.00012892474,0.0000033193949],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036318233,0.000047168513,0.0023972397,0.000016805578,0.000002347243,1.0742119e-8,0.00008753802,0.0017610252,0.97191924,0.023193778,0.00040879907,0.0001297287],"study_design_scores_gemma":[0.00016006903,0.0001353955,0.13664663,0.000034613855,0.000019453897,0.000017791192,0.000058364338,0.010543811,0.83085364,0.021261934,0.00016662996,0.00010165202],"about_ca_topic_score_codex":0.000013873499,"about_ca_topic_score_gemma":2.6810855e-7,"teacher_disagreement_score":0.14106558,"about_ca_system_score_codex":0.000014005101,"about_ca_system_score_gemma":0.000016220336,"threshold_uncertainty_score":0.40182462},"labels":[],"label_agreement":null},{"id":"W2144591133","doi":"10.1007/s00422-007-0200-2","title":"Parametric spectral analysis of nonstationary fluctuations of excitatory synaptic currents","year":2007,"lang":"en","type":"article","venue":"Biological Cybernetics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Monte Carlo method; White noise; Estimator; Statistical physics; Autoregressive model; Physics; Noise (video); Mathematics; Statistics; Computer science","score_opus":0.056869187335869306,"score_gpt":0.3007387277969798,"score_spread":0.24386954046111048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144591133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99412066,0.000051238345,0.004364244,0.000021593007,0.0001582265,0.0001099917,0.000058018697,0.000019979037,0.0010960685],"genre_scores_gemma":[0.9990842,0.0000795494,0.00068207434,0.00006792169,0.000017439801,0.0000018592402,0.000025811953,0.0000037213833,0.000037465128],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989107,0.00007390163,0.00038724192,0.00023438058,0.00021782884,0.00017590908],"domain_scores_gemma":[0.99847007,0.0010625856,0.00019199979,0.00014947605,0.000067259265,0.000058602323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022793293,0.00009050663,0.00021782347,0.0004017636,0.000036893634,0.000005149348,0.00015240844,0.000078373036,0.00009963776],"category_scores_gemma":[0.0010744646,0.000069351845,0.00014507356,0.0019388316,0.00024755564,0.00003002502,0.000039853985,0.00009428479,0.000007922764],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001394152,0.00091266196,0.13654162,0.000023782635,0.0002260665,0.00001801231,0.00012576219,0.003973369,0.7564839,0.090018354,0.00006257404,0.011474446],"study_design_scores_gemma":[0.00017511286,0.00039996873,0.9564695,0.0000052847877,0.00017096769,0.000002729827,0.000033904707,0.02025772,0.018541042,0.0036931147,0.0001152156,0.00013547149],"about_ca_topic_score_codex":0.0000084515395,"about_ca_topic_score_gemma":0.000004685512,"teacher_disagreement_score":0.8199279,"about_ca_system_score_codex":0.000023684348,"about_ca_system_score_gemma":0.000014538272,"threshold_uncertainty_score":0.28280863},"labels":[],"label_agreement":null},{"id":"W2144643107","doi":"10.1152/jn.0871.2002","title":"Electrophysiological Properties and Input-Output Organization of Callosal Neurons in Cat Association Cortex","year":2003,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Neuroscience; Inhibitory postsynaptic potential; Antidromic; Excitatory postsynaptic potential; Electrophysiology; Postsynaptic potential; Thalamus; Depolarization; Biology; Biophysics","score_opus":0.02457954116954439,"score_gpt":0.22267802897627628,"score_spread":0.1980984878067319,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144643107","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992216,0.0000070228766,0.000028191267,0.000246013,0.00036515156,0.00008319136,0.0000015139111,0.0000073248307,0.000039955336],"genre_scores_gemma":[0.9990371,0.00026628986,0.00003195483,0.00052791863,0.000048697082,7.4730804e-7,5.6669427e-7,0.000012821372,0.00007391763],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985552,0.00047647813,0.00042218005,0.00019333516,0.00016591127,0.00018688448],"domain_scores_gemma":[0.9990536,0.00020611491,0.00046645012,0.00008216177,0.00014677663,0.00004492252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000684055,0.00011018485,0.00029702374,0.00013740239,0.000050439347,0.000013597189,0.00011138894,0.000083169194,0.000008820653],"category_scores_gemma":[0.0026379966,0.00008127298,0.000044589204,0.0003582217,0.000077343,0.00013702856,0.000033118748,0.00025431614,0.0000025641214],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008536675,0.00010740439,0.0017670937,0.0000100696025,0.0000031277916,0.000029320503,0.000032805623,0.0005404044,0.9966745,0.00058271864,0.000015591268,0.00015162736],"study_design_scores_gemma":[0.0012240021,0.004203555,0.69894713,0.0000275122,0.000031695727,0.00041602724,0.000027515236,0.0036391197,0.28910097,0.0018180528,0.00032858422,0.00023584046],"about_ca_topic_score_codex":0.00000414527,"about_ca_topic_score_gemma":6.696802e-7,"teacher_disagreement_score":0.7075735,"about_ca_system_score_codex":0.00005330119,"about_ca_system_score_gemma":0.00006313216,"threshold_uncertainty_score":0.33142158},"labels":[],"label_agreement":null},{"id":"W2145030776","doi":"10.1017/cbo9780511816789.020","title":"Meditation and the neuroscience of consciousness: an introduction","year":2007,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":475,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Consciousness; Cognitive science; Cognition; Meditation; Focus (optics); Information processing; Psychology; Computer science; Cognitive psychology; Neuroscience","score_opus":0.03378056487636847,"score_gpt":0.2236222927250677,"score_spread":0.18984172784869924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145030776","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0085375,0.000024344728,0.0013271231,0.00056493125,0.0016919952,0.0007478747,0.00008912989,0.00009854722,0.98691857],"genre_scores_gemma":[0.06431899,0.00014344593,0.000014170928,0.00047556564,0.0002912392,4.974982e-7,0.000014227328,0.000024802317,0.93471706],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99878025,0.000089680325,0.00016789953,0.0005054278,0.0003118915,0.00014484042],"domain_scores_gemma":[0.9990059,0.00018539502,0.00029113505,0.000336882,0.00010528971,0.000075402255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027471702,0.00017925016,0.00022024401,0.00015540412,0.00023840574,0.00003806399,0.00029553493,0.00013056303,0.0000010142204],"category_scores_gemma":[0.00010519546,0.00015103882,0.00006672243,0.000019377705,0.0015309764,0.00017707345,0.00014878005,0.00028226056,7.0569064e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024590647,0.0000065107656,6.3409306e-7,0.000025426185,0.0000027602302,0.000022173044,0.00004770027,0.0000070769224,0.0101281945,0.9860103,0.0011174025,0.0023858806],"study_design_scores_gemma":[0.0018648428,0.00031273536,0.00007751521,0.000056468183,0.00018543219,0.00013050785,0.00007486666,0.005053477,0.010764541,0.00038405875,0.9806095,0.00048608647],"about_ca_topic_score_codex":0.000041142033,"about_ca_topic_score_gemma":0.000004773908,"teacher_disagreement_score":0.9856263,"about_ca_system_score_codex":0.00003766643,"about_ca_system_score_gemma":0.00003622592,"threshold_uncertainty_score":0.6159184},"labels":[],"label_agreement":null},{"id":"W2145097123","doi":"10.1016/j.neuroimage.2005.01.040","title":"Coherence between fMRI time-series distinguishes two spatial working memory networks","year":2005,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":67,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institutes of Health; Commission for Environmental Cooperation; James S. McDonnell Foundation","keywords":"Working memory; Saccade; Frontal eye fields; Coherence (philosophical gambling strategy); Spatial memory; Neuroscience; Posterior parietal cortex; Computer science; Prefrontal cortex; Psychology; Eye movement; Cognitive psychology; Cognition; Physics","score_opus":0.029686167586619856,"score_gpt":0.255681741688632,"score_spread":0.22599557410201215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145097123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9553915,0.00003560434,0.0040242015,0.0019426789,0.001406338,0.00047546034,0.000024652347,0.0006218967,0.036077652],"genre_scores_gemma":[0.99302065,0.00000908456,0.00033100112,0.0011913031,0.0017875148,0.000011257501,0.000010839915,0.000044534332,0.0035938048],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981265,0.0001678902,0.00029727397,0.00063553883,0.00031166215,0.00046111722],"domain_scores_gemma":[0.99878246,0.00054705195,0.00015365997,0.0003677759,0.000028814722,0.000120230405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015466526,0.00024087775,0.00023194723,0.000060553728,0.0003398725,0.0002249412,0.00036397154,0.000058738857,0.00019356037],"category_scores_gemma":[0.00069294666,0.00022910659,0.00008745803,0.000279102,0.00018430756,0.0003268198,0.00018372599,0.0003961377,0.00023640944],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014846647,0.00012657454,0.016440593,0.000022106511,0.000008884513,0.00025367382,0.0001383162,0.0055560595,0.5326977,0.0004439291,0.0045647076,0.439599],"study_design_scores_gemma":[0.003212509,0.0010852632,0.15806314,0.00023365891,0.00015885434,0.0003052931,0.000030184947,0.34029528,0.38564393,0.0021049883,0.10607425,0.0027926331],"about_ca_topic_score_codex":0.00003829238,"about_ca_topic_score_gemma":0.00004237295,"teacher_disagreement_score":0.43680638,"about_ca_system_score_codex":0.000032798216,"about_ca_system_score_gemma":0.000019537958,"threshold_uncertainty_score":0.93426955},"labels":[],"label_agreement":null},{"id":"W2145677204","doi":"10.1093/schbul/sbp091","title":"Steady State Responses: Electrophysiological Assessment of Sensory Function in Schizophrenia","year":2009,"lang":"en","type":"review","venue":"Schizophrenia Bulletin","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":236,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institute of Mental Health","keywords":"Sensory system; Neuroscience; Sensory processing; Psychology; Stimulus (psychology); Electrophysiology; Functional magnetic resonance imaging; Schizophrenia (object-oriented programming); Visual cortex; Cognition; Visual processing; Auditory cortex; Audiology; Psychosis; Cognitive psychology; Perception; Medicine; Psychiatry","score_opus":0.04354711582171048,"score_gpt":0.31610188417029716,"score_spread":0.27255476834858666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145677204","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0294001,0.96146804,0.00020006386,0.00037911153,0.0017817944,0.0038978327,0.0005173072,0.0004720743,0.0018836514],"genre_scores_gemma":[0.005713837,0.9911824,0.00073134765,0.00026247845,0.00023568184,0.00013379451,0.00009206209,0.000105184525,0.0015431978],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9929792,0.002307373,0.0016204242,0.0015584045,0.0007343942,0.00080016925],"domain_scores_gemma":[0.9967057,0.0011145192,0.0010711065,0.00086278224,0.00007603888,0.0001698241],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007553184,0.00089534617,0.002369602,0.0008451403,0.0001655609,0.00009821142,0.0006696225,0.0005190378,0.00028879088],"category_scores_gemma":[0.0006328735,0.0007156631,0.00069648493,0.0011231668,0.00020540514,0.00008608848,0.00019808621,0.0018532588,0.00028425214],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033836355,0.00042974303,0.0000012684635,0.0019352541,0.000034921115,0.00016805358,0.000007119636,0.00005884752,0.011331662,0.0032876653,0.0005768178,0.97878504],"study_design_scores_gemma":[0.0025053471,0.0031713452,0.0005825667,0.0050066784,0.00032520253,0.00015036679,0.00000689851,0.00028501704,0.00019839818,0.0030220225,0.9832309,0.0015152615],"about_ca_topic_score_codex":0.000019122655,"about_ca_topic_score_gemma":0.000009294022,"teacher_disagreement_score":0.9826541,"about_ca_system_score_codex":0.00030967427,"about_ca_system_score_gemma":0.00052518037,"threshold_uncertainty_score":0.9995294},"labels":[],"label_agreement":null},{"id":"W2145749918","doi":"10.3389/fninf.2013.00010","title":"The Virtual Brain: a simulator of primate brain network dynamics","year":2013,"lang":"en","type":"article","venue":"Frontiers in Neuroinformatics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":571,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital","funders":"FP7 Information and Communication Technologies; James S. McDonnell Foundation","keywords":"Computer science; Primate; Dynamics (music); Human–computer interaction; Neuroscience; Simulation; Psychology","score_opus":0.008304285487772773,"score_gpt":0.22620401551404012,"score_spread":0.21789973002626736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145749918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9480845,0.00005010455,0.028056888,0.009243875,0.0063930624,0.0018170776,0.000044671633,0.00017160924,0.0061382647],"genre_scores_gemma":[0.98931944,0.00012843378,0.0016321753,0.0071485685,0.00010199101,0.000035238463,0.000011586948,0.000049172177,0.0015733656],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99805987,0.00012440259,0.0007175384,0.00019282717,0.00038517162,0.000520201],"domain_scores_gemma":[0.9980206,0.0010393674,0.0003407771,0.00046376997,0.0000466456,0.00008883651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033388205,0.00020342854,0.0002649593,0.00010792696,0.00024053201,0.00015239233,0.00052723056,0.000080982485,0.0000077239565],"category_scores_gemma":[0.0012993269,0.00015032185,0.00009521326,0.0005697341,0.0002417918,0.00057095627,0.00017567888,0.0003338582,0.00002989592],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002615645,0.00021282917,0.009029264,0.00022689017,0.000034224315,0.000025146453,0.0013242337,0.28645933,0.005217127,0.09535265,0.45694926,0.14490747],"study_design_scores_gemma":[0.00039275814,0.00017119864,0.0014988056,0.000022859744,0.0000038091396,0.0000086330565,0.00019317721,0.9838913,0.000390241,0.0067533352,0.006507654,0.00016620282],"about_ca_topic_score_codex":0.00000798643,"about_ca_topic_score_gemma":0.000009891842,"teacher_disagreement_score":0.697432,"about_ca_system_score_codex":0.00007748827,"about_ca_system_score_gemma":0.000047094618,"threshold_uncertainty_score":0.61299473},"labels":[],"label_agreement":null},{"id":"W2145894834","doi":"10.3389/fnhum.2012.00139","title":"Differential Synchronization in Default and Task-Specific Networks of the Human Brain","year":2012,"lang":"en","type":"article","venue":"Frontiers in Human Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Synchronization (alternating current); Differential (mechanical device); Default mode network; Task (project management); Neuroscience; Computer science; Psychology; Functional connectivity; Computer network; Physics; Economics; Channel (broadcasting)","score_opus":0.01903597625304424,"score_gpt":0.24096357558216092,"score_spread":0.22192759932911668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145894834","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9775631,0.000060239574,0.019295858,0.0001190973,0.0024759506,0.00029789566,0.0000039361776,0.000019137766,0.0001647856],"genre_scores_gemma":[0.9992827,0.000034730685,0.000029756413,0.00037880064,0.000072718176,0.000010226159,0.0000012643654,0.000014299556,0.0001755025],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983287,0.00022771166,0.000311202,0.00042353317,0.0002932273,0.00041565704],"domain_scores_gemma":[0.99942964,0.000054463395,0.00015263952,0.00028722058,0.000011365236,0.000064687694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000219361,0.00014588097,0.00017212394,0.00019188768,0.00029338052,0.00006207069,0.00041934228,0.000064336775,0.0000072167218],"category_scores_gemma":[0.00018170642,0.00011683146,0.000038440787,0.0007958419,0.00055365654,0.0003796989,0.00018959693,0.000278281,1.5595192e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008073897,0.00013153188,0.21648046,0.000013165536,2.3782833e-7,0.0000026718906,0.0002392395,0.0030304382,0.77306396,0.005233932,0.0007145269,0.0010817745],"study_design_scores_gemma":[0.00061389775,0.00009198317,0.8577594,0.000052597148,0.0000036500871,0.000013135411,0.000039226332,0.12749186,0.011763661,0.0011283713,0.0007860272,0.00025620408],"about_ca_topic_score_codex":0.000015030485,"about_ca_topic_score_gemma":0.000017901051,"teacher_disagreement_score":0.76130027,"about_ca_system_score_codex":0.000062190615,"about_ca_system_score_gemma":0.000009671797,"threshold_uncertainty_score":0.47642487},"labels":[],"label_agreement":null},{"id":"W2146506906","doi":"10.1016/j.jneumeth.2006.07.011","title":"Comparing spectra and coherences for groups of unequal size","year":2006,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":162,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"National Institute of Mental Health; National Institutes of Health","keywords":"Jackknife resampling; Statistics; Coherence (philosophical gambling strategy); Mathematics; Gaussian; Test statistic; Statistic; Variance (accounting); Sample size determination; Series (stratigraphy); Spectral line; Statistical hypothesis testing; Econometrics; Statistical physics; Estimator; Physics","score_opus":0.10594433222179946,"score_gpt":0.37669237472678935,"score_spread":0.2707480425049899,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146506906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9132591,0.000037851296,0.08479079,0.0003343262,0.001138829,0.00012331833,0.0000037095926,0.000008542799,0.00030351506],"genre_scores_gemma":[0.9567252,0.000030158873,0.04280629,0.00021225667,0.00012109875,0.0000014458473,4.515186e-8,0.000007547439,0.00009599247],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984455,0.0002803052,0.00050792244,0.00023719206,0.00031718402,0.00021190442],"domain_scores_gemma":[0.99735594,0.001801724,0.0005939707,0.00010025564,0.00007847445,0.0000696341],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013313006,0.00010958858,0.00030071355,0.00012083116,0.00013925658,0.00007917102,0.00029279265,0.00003073167,0.0000027810079],"category_scores_gemma":[0.002272954,0.00008265866,0.00010079551,0.00038447406,0.00030207363,0.0003359501,0.00004909305,0.00016098966,1.14128596e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052315172,0.000054599754,0.0012443969,0.000017035862,4.6290478e-7,0.0000069890193,0.00002205363,0.00047009226,0.9894687,0.0056076897,0.00003292204,0.0030227455],"study_design_scores_gemma":[0.000853621,0.0015762587,0.08098146,0.000043682976,0.000029326668,0.0003833833,0.000048681937,0.05377305,0.835415,0.02507142,0.0016203569,0.00020373303],"about_ca_topic_score_codex":0.000008511801,"about_ca_topic_score_gemma":0.0000025195607,"teacher_disagreement_score":0.15405367,"about_ca_system_score_codex":0.000014655267,"about_ca_system_score_gemma":0.0000409139,"threshold_uncertainty_score":0.33707222},"labels":[],"label_agreement":null},{"id":"W2146508384","doi":"10.1007/s10827-007-0033-y","title":"Threshold fatigue and information transfer","year":2007,"lang":"en","type":"article","venue":"Journal of Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":63,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; McGill University","funders":"Canadian Institutes of Health Research","keywords":"Noise (video); Information transmission; Electric fish; Transmission (telecommunications); Robustness (evolution); SIGNAL (programming language); Auditory fatigue; Physics; Neuroscience; Computer science; Telecommunications; Chemistry; Artificial intelligence; Noise exposure; Psychology; Audiology; Biology; Fish <Actinopterygii>; Medicine","score_opus":0.03418796517847549,"score_gpt":0.27711641367955164,"score_spread":0.24292844850107614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146508384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8160539,0.00000604496,0.18187033,0.0008012142,0.0005711925,0.000059343743,0.000002816847,0.00001029791,0.00062483427],"genre_scores_gemma":[0.9953777,0.000020737165,0.0004229109,0.0041126553,0.000050103135,2.1791048e-7,3.3270047e-7,0.000003255772,0.000012071513],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998792,0.000023032091,0.0003816225,0.000102855105,0.00055887224,0.00014165169],"domain_scores_gemma":[0.9993355,0.00025683365,0.00013960579,0.00004342072,0.00012158877,0.0001030275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045502323,0.000074238545,0.00009119354,0.0002258306,0.00014154537,0.000108852844,0.00015500707,0.000023058315,0.000006025092],"category_scores_gemma":[0.00029173357,0.00005982214,0.000041612417,0.00035328243,0.0001780816,0.0018888079,0.00002068252,0.00016121358,0.0000021495332],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023181584,0.00012293289,0.0014470989,0.00002637657,0.0000017885839,0.00009370963,0.00036118444,0.11836758,0.58780754,0.2619134,0.00025062502,0.029375985],"study_design_scores_gemma":[0.0030174516,0.0021116335,0.36436233,0.000093625866,0.00002789819,0.0059147435,0.00010417519,0.39692152,0.122592375,0.08648346,0.01769333,0.00067745853],"about_ca_topic_score_codex":3.5908315e-7,"about_ca_topic_score_gemma":2.2521797e-7,"teacher_disagreement_score":0.46521515,"about_ca_system_score_codex":0.000015821042,"about_ca_system_score_gemma":0.000046473226,"threshold_uncertainty_score":0.24394761},"labels":[],"label_agreement":null},{"id":"W2147122301","doi":"10.1186/1471-2202-8-s2-p175","title":"Temporal coding of continuously-varying inputs","year":2007,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Coding (social sciences); Cognitive science; Speech recognition; Neuroscience; Artificial intelligence; Psychology; Mathematics; Statistics","score_opus":0.058033735940945186,"score_gpt":0.2900676084977944,"score_spread":0.2320338725568492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147122301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96307695,0.000005217302,0.031455465,0.00008825948,0.0014369552,0.00019576846,0.0000061305905,0.00010126074,0.0036339662],"genre_scores_gemma":[0.99750614,0.000007443423,0.00041269415,0.0014254047,0.00005654628,0.000002244719,4.3190897e-7,0.000013935057,0.00057517545],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981339,0.00006281961,0.00035652015,0.0005442148,0.0004779562,0.00042457005],"domain_scores_gemma":[0.9989861,0.00036000196,0.00021645708,0.00028139792,0.000039649713,0.00011639143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055615965,0.00013901002,0.00016763619,0.00017043066,0.00021624002,0.00006001887,0.00042373987,0.00004125253,0.000010570361],"category_scores_gemma":[0.0013372495,0.0001260507,0.00007433741,0.0008439627,0.00031601335,0.00034814965,0.00014193096,0.00015512676,0.000011467504],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030159012,0.000042995092,0.010658617,0.000016979928,9.652592e-8,0.0000256431,0.000034955592,0.00008737431,0.98500806,0.0031407475,0.000030626525,0.0009237453],"study_design_scores_gemma":[0.00031629772,0.00017428161,0.021278117,0.00002805842,0.000003192791,0.00008617665,0.000011729932,0.0109317135,0.96516556,0.00031420137,0.001493753,0.00019694705],"about_ca_topic_score_codex":0.000015905402,"about_ca_topic_score_gemma":0.000013644248,"teacher_disagreement_score":0.034429144,"about_ca_system_score_codex":0.000021519982,"about_ca_system_score_gemma":0.000048045407,"threshold_uncertainty_score":0.51401985},"labels":[],"label_agreement":null},{"id":"W2147190696","doi":"10.1016/j.schres.2009.06.012","title":"Event-related potential abnormalities in schizophrenia: A failure to “gate in” salient information?","year":2009,"lang":"en","type":"article","venue":"Schizophrenia Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":93,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institute of Mental Health","keywords":"Sensory gating; N100; Stimulus (psychology); Neuroscience; Psychology; Sensory system; Audiology; Gating; Event-related potential; Schizophrenia (object-oriented programming); Electroencephalography; Electrophysiology; Cognitive psychology; Medicine; Psychiatry","score_opus":0.02292967583739093,"score_gpt":0.31084312031533234,"score_spread":0.2879134444779414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147190696","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98740697,0.00002104977,0.000062547275,0.00970081,0.00032663462,0.0009318922,0.000030263642,0.000095223,0.001424619],"genre_scores_gemma":[0.9983114,0.000033282016,0.00021861563,0.00076429686,0.000079546524,0.0000736002,0.000021566704,0.00001691769,0.00048075925],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9958446,0.0005742117,0.00072558236,0.0005616048,0.001264435,0.0010295582],"domain_scores_gemma":[0.9988677,0.00017992746,0.000080245845,0.0004602673,0.00015153669,0.00026033397],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014928522,0.00024675758,0.000277924,0.0018497109,0.00029755692,0.00036628605,0.00061279617,0.00017916481,0.00013318026],"category_scores_gemma":[0.0009254392,0.00023157593,0.00009172477,0.0031172934,0.00012326501,0.0012397551,0.00024317765,0.0012530866,0.0007858091],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.019007782,0.0013930831,0.0010398459,0.0001759991,0.000023803203,0.0011600037,0.0049539036,0.06550194,0.48375162,0.2935702,0.008160336,0.12126146],"study_design_scores_gemma":[0.040252734,0.006034219,0.33272403,0.0013332015,0.000027121194,0.0004978208,0.0030183129,0.19201314,0.083187975,0.32592776,0.01089095,0.0040927175],"about_ca_topic_score_codex":0.00019003158,"about_ca_topic_score_gemma":0.00042837032,"teacher_disagreement_score":0.40056366,"about_ca_system_score_codex":0.00025998842,"about_ca_system_score_gemma":0.00022686075,"threshold_uncertainty_score":0.9999922},"labels":[],"label_agreement":null},{"id":"W2147329309","doi":"10.3389/fnsys.2014.00073","title":"Power law scaling in synchronization of brain signals depends on cognitive load","year":2014,"lang":"en","type":"article","venue":"Frontiers in Systems Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Hospital for Sick Children","funders":"Hospital for Sick Children; Natural Sciences and Engineering Research Council of Canada; Sick Kids Foundation","keywords":"Criticality; Synchronization (alternating current); Computer science; Scaling; Neuroscience; Phase synchronization; Autism; Power law; Psychology; Physics; Mathematics; Telecommunications; Statistics","score_opus":0.015185216517323618,"score_gpt":0.24462518906945777,"score_spread":0.22943997255213414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147329309","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94389665,0.000035876034,0.04348039,0.00016656406,0.004985248,0.00063489674,0.000025624146,0.000053586828,0.006721151],"genre_scores_gemma":[0.99819344,0.00000860984,0.000032918506,0.001492052,0.000030723364,0.000022560775,0.0000010829352,0.00001959385,0.00019904206],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971321,0.00054717984,0.0004983792,0.0007411392,0.00068722933,0.0003939722],"domain_scores_gemma":[0.9989252,0.00045127817,0.000245349,0.00024060826,0.00006120856,0.000076370234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093998096,0.00018657444,0.00031966757,0.00032984125,0.000110811365,0.0000902497,0.00035522587,0.000086174114,0.0000028758025],"category_scores_gemma":[0.0023760924,0.00017696324,0.00004663577,0.0011731645,0.00030281144,0.0003695335,0.00006423163,0.0002280595,0.000005938483],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025145186,0.00042645697,0.024007045,0.00018676792,0.0000015346427,0.00008194211,0.00068968744,0.045849975,0.90291876,0.019488085,0.00065410655,0.0054441732],"study_design_scores_gemma":[0.0020904394,0.0010711977,0.011231278,0.0011560062,0.0000060856496,0.00004675295,0.00036599248,0.8752094,0.10529315,0.0012288798,0.0016202648,0.0006805465],"about_ca_topic_score_codex":0.00008954789,"about_ca_topic_score_gemma":0.00001758445,"teacher_disagreement_score":0.8293594,"about_ca_system_score_codex":0.00014391167,"about_ca_system_score_gemma":0.000055258723,"threshold_uncertainty_score":0.7216351},"labels":[],"label_agreement":null},{"id":"W2147426972","doi":"10.3389/fninf.2013.00037","title":"Information gain in the brain's resting state: A new perspective on autism","year":2013,"lang":"en","type":"article","venue":"Frontiers in Neuroinformatics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Hospital for Sick Children","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Magnetoencephalography; Brain activity and meditation; Autism; Neuroscience; Context (archaeology); Resting state fMRI; Psychology; Autism spectrum disorder; Cognition; Kullback–Leibler divergence; Computer science; Perspective (graphical); Neurophysiology; Cognitive psychology; Artificial intelligence; Developmental psychology; Electroencephalography; Biology","score_opus":0.014808236348333212,"score_gpt":0.2382501865465783,"score_spread":0.2234419501982451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147426972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9134195,0.0000146891625,0.013670359,0.027604146,0.002349153,0.0025119178,0.00001896548,0.00017066128,0.040240634],"genre_scores_gemma":[0.97353035,0.000053910127,0.0017879847,0.024033139,0.00004007182,0.000047563233,0.000008523035,0.000018682564,0.0004797729],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99838173,0.0001506033,0.0005166726,0.00013653548,0.00042785032,0.0003865865],"domain_scores_gemma":[0.9989802,0.00040834784,0.00020714033,0.00031163744,0.000024643936,0.000068028115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031586742,0.00018206342,0.00016398229,0.00041268856,0.00012391013,0.00029805428,0.00039727337,0.000057102538,0.000008980353],"category_scores_gemma":[0.0018795618,0.00013688425,0.000046098252,0.0007696763,0.00006539388,0.00197988,0.000059690698,0.00054511847,0.0001188935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030394283,0.00031218858,0.0042993454,0.00017816493,0.000010593136,0.00008615552,0.11282471,0.08065361,0.0022549196,0.08271677,0.54350615,0.17285344],"study_design_scores_gemma":[0.0016698256,0.00046168547,0.02601155,0.000101074125,0.000004415634,0.00004913741,0.011133403,0.8912458,0.0004957682,0.0585664,0.0098095955,0.00045138068],"about_ca_topic_score_codex":0.00020359122,"about_ca_topic_score_gemma":0.000016506221,"teacher_disagreement_score":0.8105922,"about_ca_system_score_codex":0.00018967995,"about_ca_system_score_gemma":0.000071195784,"threshold_uncertainty_score":0.5581978},"labels":[],"label_agreement":null},{"id":"W2147508163","doi":"10.1093/cercor/bhs060","title":"Principal Component and Cluster Analysis of Layer V Pyramidal Cells in Visual and Non-Visual Cortical Areas Projecting to the Primary Visual Cortex of the Mouse","year":2012,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Université du Québec à Trois-Rivières","funders":"","keywords":"Somatosensory system; Sensory system; Neuroscience; Visual cortex; Retinotopy; Cortex (anatomy); Biology; Population; Pyramidal cell; Anatomy; Hippocampus; Medicine","score_opus":0.020082010566244108,"score_gpt":0.2780468325705832,"score_spread":0.2579648220043391,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147508163","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998647,0.0000115885,0.00011474773,0.00016286447,0.00024594198,0.0006621673,0.00002624492,0.000014562866,0.00011487821],"genre_scores_gemma":[0.9989091,0.0000066372513,0.00002350317,0.0008163836,0.000065918335,0.000014349338,0.0000067134374,0.000019922767,0.00013745406],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9979662,0.00025655545,0.0005100918,0.00041469958,0.0004401834,0.0004123003],"domain_scores_gemma":[0.9989803,0.00036761272,0.0002330057,0.0002285535,0.00004914967,0.00014137579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000462762,0.0002130962,0.0004176948,0.00020265851,0.0001608522,0.000047357673,0.00019426236,0.000087314824,0.000016972755],"category_scores_gemma":[0.00016106109,0.0001314089,0.00012214133,0.00083605,0.00028651603,0.00017922565,0.0004861437,0.00031677567,0.000002668804],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000217227,0.0003288012,0.27574006,0.000042936783,0.000042435226,0.0000016047766,0.000679691,0.00013497123,0.72181857,0.00013177021,0.000023519447,0.000838416],"study_design_scores_gemma":[0.00044263186,0.00021934666,0.876498,0.000016871243,0.00015124072,0.0000097254,0.00017376502,0.08256812,0.039731465,0.0000047418175,0.00003157828,0.00015250832],"about_ca_topic_score_codex":0.00014391931,"about_ca_topic_score_gemma":0.0001772789,"teacher_disagreement_score":0.6820871,"about_ca_system_score_codex":0.000052892978,"about_ca_system_score_gemma":0.000041584142,"threshold_uncertainty_score":0.53586996},"labels":[],"label_agreement":null},{"id":"W2148276911","doi":"10.1523/jneurosci.22-22-09651.2002","title":"Role of Thalamocortical Sensory Suppression during Arousal: Focusing Sensory Inputs in Neocortex","year":2002,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":91,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Center for Research Resources; Medical Research Council; Savoy Foundation; National Institutes of Health; Medical Research Council Canada; University of Michigan","keywords":"Neocortex; Sensory system; Neuroscience; Arousal; Tonic (physiology); Thalamus; Reticular activating system; Psychology; Sensory processing; Brainstem; Sensory stimulation therapy; Reticular formation; Stimulation","score_opus":0.038064470796610794,"score_gpt":0.26139231377386635,"score_spread":0.22332784297725555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148276911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982072,0.000031746662,0.000057816098,0.00042646957,0.00072711415,0.00011180384,0.0000031369261,0.00001681299,0.000417882],"genre_scores_gemma":[0.99909097,0.00013585552,0.00008013373,0.00037016693,0.0001059895,8.2341825e-7,3.016088e-8,0.000016962327,0.00019906435],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99765116,0.00020638455,0.0006952904,0.00034673614,0.00072839926,0.0003720309],"domain_scores_gemma":[0.9988112,0.00022613921,0.0005268617,0.00021982651,0.00006728766,0.00014868475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002502101,0.00015780386,0.00028592258,0.00038589575,0.00012425096,0.000060062805,0.0003725268,0.00006461612,0.000018081655],"category_scores_gemma":[0.0011369243,0.00012941468,0.000120379016,0.00061757263,0.00024039377,0.0006785061,0.000117294,0.00049010944,0.0000042698653],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049168495,0.00016968348,0.003577039,0.000014467448,3.489083e-7,0.0003470375,0.00012989859,0.0010688701,0.9931842,0.00006252198,0.000009062804,0.0013876768],"study_design_scores_gemma":[0.0006125133,0.00034689583,0.12458197,0.000119160206,0.0000074490104,0.0020203847,0.000037127993,0.05039106,0.82115763,0.00037011586,0.00018192225,0.0001737648],"about_ca_topic_score_codex":0.0000031166442,"about_ca_topic_score_gemma":0.0000014865691,"teacher_disagreement_score":0.17202659,"about_ca_system_score_codex":0.00004935616,"about_ca_system_score_gemma":0.000027397491,"threshold_uncertainty_score":0.52773774},"labels":[],"label_agreement":null},{"id":"W2148359857","doi":"10.1016/j.neuron.2006.11.009","title":"Isolation of a Central Bottleneck of Information Processing with Time-Resolved fMRI","year":2006,"lang":"en","type":"article","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":368,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Mental Health; Natural Sciences and Engineering Research Council of Canada; Vanderbilt University","keywords":"Bottleneck; Isolation (microbiology); Neuroscience; Psychology; Information processing; Computer science; Biology; Bioinformatics","score_opus":0.008091619365027542,"score_gpt":0.20160727073049559,"score_spread":0.19351565136546806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148359857","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909164,0.0000032664148,0.006001536,0.00011106074,0.00006561069,0.00015170548,0.000008372337,0.00003307686,0.0027089955],"genre_scores_gemma":[0.9994575,0.0000017471878,0.00029540888,0.00009238586,0.000022149645,0.0000022139827,0.000010471714,0.00000650809,0.00011161131],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99932444,0.000026879086,0.00021324983,0.00010571479,0.00020580378,0.00012389179],"domain_scores_gemma":[0.99959314,0.000032996857,0.00022117136,0.00009066751,0.000044544788,0.000017456929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000035590325,0.00006976217,0.00008942352,0.00007087432,0.000040942574,0.000020212756,0.00006394629,0.000027099071,0.000011119256],"category_scores_gemma":[0.000041388204,0.0000567649,0.000023399321,0.0002177326,0.000043382544,0.00048549165,0.00001329117,0.00005640419,0.0000052048345],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001245412,0.0000425079,0.0012875356,0.000052447085,4.244175e-7,6.2903445e-7,0.000046301244,0.0030320445,0.99038565,0.0004340317,0.000090053574,0.0045038466],"study_design_scores_gemma":[0.00083903153,0.0006415656,0.09565097,0.00006493552,0.000016625263,0.000014235847,0.0000107707865,0.26067087,0.6406985,0.0003275778,0.0009065409,0.00015840292],"about_ca_topic_score_codex":0.000031357704,"about_ca_topic_score_gemma":0.000004346008,"teacher_disagreement_score":0.34968716,"about_ca_system_score_codex":0.00001166809,"about_ca_system_score_gemma":0.00002463779,"threshold_uncertainty_score":0.23148054},"labels":[],"label_agreement":null},{"id":"W2148361269","doi":"10.1186/2190-8567-4-4","title":"Fokker–Planck and Fortet Equation-Based Parameter Estimation for a Leaky Integrate-and-Fire Model with Sinusoidal and Stochastic Forcing","year":2014,"lang":"en","type":"article","venue":"The Journal of Mathematical Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Danmarks Frie Forskningsfond","keywords":"Forcing (mathematics); Fokker–Planck equation; Estimation; Statistical physics; Planck; Applied mathematics; Computer science; Meteorology; Econometrics; Physics; Mathematics; Mathematical analysis; Atmospheric sciences; Engineering; Systems engineering; Astronomy; Partial differential equation","score_opus":0.0454501161510669,"score_gpt":0.266087601005617,"score_spread":0.22063748485455012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148361269","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.472848,0.0000027941,0.52627945,0.00067988824,0.000027919948,0.00014737109,0.0000016835043,0.0000059704857,0.0000068969684],"genre_scores_gemma":[0.9912954,0.0000029575983,0.0077798218,0.0008644733,0.000016156635,0.000006279531,1.3957684e-7,0.000011241363,0.0000235059],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989786,0.00007465129,0.00027675074,0.00018458263,0.00030427257,0.00018110496],"domain_scores_gemma":[0.9969798,0.0025127903,0.0002441714,0.0001119177,0.000053817785,0.00009755463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073865184,0.00012797966,0.00019124841,0.000059198614,0.00026334415,0.00014022127,0.00014374651,0.000027911541,6.630442e-7],"category_scores_gemma":[0.0030008631,0.00006851639,0.000026591426,0.0001144303,0.00034515315,0.0003022696,0.00003375156,0.00016054719,2.9874136e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013596441,0.00028366016,0.00014019688,0.0005480215,0.000006969936,0.000008339361,0.0013268797,0.4646744,0.40581104,0.097760074,0.00006656679,0.02801419],"study_design_scores_gemma":[0.00041757894,0.000706672,0.000119965465,0.00009931437,0.00003094066,0.00027255234,0.000019689254,0.9176105,0.0015093887,0.07913362,0.0000011764712,0.000078566096],"about_ca_topic_score_codex":7.480813e-7,"about_ca_topic_score_gemma":9.1050094e-7,"teacher_disagreement_score":0.5184997,"about_ca_system_score_codex":0.000010223792,"about_ca_system_score_gemma":0.00003148576,"threshold_uncertainty_score":0.35925302},"labels":[],"label_agreement":null},{"id":"W2148411260","doi":"10.1111/ejn.13101","title":"Network‐selectivity and stimulus‐discrimination in the primary visual cortex: cell‐assembly dynamics","year":2015,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Université de Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Visual cortex; Stimulus (psychology); Neuroscience; Psychology; Cognitive psychology","score_opus":0.041310349242337,"score_gpt":0.2670066676543099,"score_spread":0.2256963184119729,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148411260","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888975,0.0000337503,0.0049168444,0.0009910964,0.0010076205,0.00013606508,0.0000019865172,0.000014232471,0.004000913],"genre_scores_gemma":[0.99641037,0.000051163897,0.00009217541,0.0031668353,0.00015031474,5.67453e-7,4.282661e-7,0.000016542335,0.000111590576],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.997043,0.0012927845,0.0003891489,0.00031599103,0.0006553082,0.00030377286],"domain_scores_gemma":[0.99895084,0.0002955083,0.00038163748,0.00014741813,0.000085437925,0.0001391424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024109862,0.00014652609,0.00016239297,0.00013707064,0.00018914483,0.00022503352,0.0005278737,0.00001646944,5.072194e-7],"category_scores_gemma":[0.0008758109,0.00010162464,0.00004372532,0.0007314836,0.00021149781,0.0006532588,0.00013354176,0.00044625218,0.0000038639987],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020060308,0.00042168977,0.0030403798,0.000021610556,6.023013e-7,0.0012827951,0.0007660884,0.00587216,0.9687525,0.0011260653,0.0010422294,0.017473303],"study_design_scores_gemma":[0.0014469315,0.0031045524,0.8039391,0.0000532406,0.000021402673,0.0020857612,0.00020487071,0.18507163,0.0015247948,0.0008992925,0.0013101258,0.00033828345],"about_ca_topic_score_codex":0.0000025638071,"about_ca_topic_score_gemma":0.0000065769336,"teacher_disagreement_score":0.9672277,"about_ca_system_score_codex":0.000076998,"about_ca_system_score_gemma":0.00008870994,"threshold_uncertainty_score":0.41441324},"labels":[],"label_agreement":null},{"id":"W2148443233","doi":"10.1109/tbme.2009.2026735","title":"Time–Frequency Phase Analysis of Ictal EEG Recordings With the S-Transform","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Foothills Medical Centre; University of Calgary","funders":"","keywords":"Electroencephalography; Time–frequency analysis; Ictal; Wavelet transform; Computer science; Fourier transform; Frequency domain; Offset (computer science); Wavelet; Short-time Fourier transform; Continuous wavelet transform; Fourier analysis; Signal processing; Pattern recognition (psychology); Speech recognition; Artificial intelligence; Discrete wavelet transform; Mathematics; Computer vision; Neuroscience; Telecommunications","score_opus":0.00866000028014834,"score_gpt":0.22884811419148365,"score_spread":0.2201881139113353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148443233","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36200416,0.0000038836642,0.6353648,0.0018902984,0.00019766732,0.00014966942,0.000055664343,0.00010524699,0.00022864375],"genre_scores_gemma":[0.99935526,0.00002171941,0.00019307731,0.00024437645,0.000018739956,0.00000937311,0.0000037992638,0.0000108131235,0.00014286069],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897724,0.000015189675,0.00020766442,0.00024122132,0.0003433715,0.00021530346],"domain_scores_gemma":[0.9994969,0.00015940898,0.000042026684,0.00017880426,0.000019279638,0.00010358093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010581628,0.00014251121,0.00020160856,0.00037776298,0.00010252488,0.000018721505,0.00016389391,0.00006264132,0.00013035962],"category_scores_gemma":[0.0000115340645,0.00009188916,0.0001593551,0.0018168326,0.0001083457,0.00011265039,3.7037736e-7,0.0002527815,0.000009195864],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006330035,0.00024719228,2.1341016e-7,0.000006178013,0.00007969769,0.000010808428,0.00007980449,0.021544848,0.93528116,0.000087265325,0.000024875291,0.042574637],"study_design_scores_gemma":[0.00092326617,0.0014299499,0.00011576652,0.000035253528,0.00045592964,0.000027554875,0.00001775001,0.82731324,0.16840896,0.00002776798,0.000997417,0.0002471623],"about_ca_topic_score_codex":0.000009575609,"about_ca_topic_score_gemma":0.0000029266557,"teacher_disagreement_score":0.8057684,"about_ca_system_score_codex":0.000037180558,"about_ca_system_score_gemma":0.000016904005,"threshold_uncertainty_score":0.37471312},"labels":[],"label_agreement":null},{"id":"W2148633911","doi":"10.1093/cercor/bhs157","title":"Anatomical and Functional Enhancements of the Insula after Loss of Large Primary Somatosensory Fibers","year":2012,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Canadian Institutes of Health Research","keywords":"Somatosensory system; Insula; Neuroscience; Insular cortex; Sensory system; Secondary somatosensory cortex; Psychology; Functional magnetic resonance imaging; Magnetic resonance imaging; Visual cortex; Anatomy; Medicine; Radiology","score_opus":0.014114984690850315,"score_gpt":0.23071815177986305,"score_spread":0.21660316708901273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148633911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984652,0.000047846734,0.000032780317,0.00007863583,0.0005705619,0.00012768689,0.00004775938,0.000009888681,0.00061964197],"genre_scores_gemma":[0.99870735,0.0000104308665,0.000018028257,0.00075620436,0.000048922513,0.000005233663,0.0000034326765,0.000008922699,0.00044149233],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991448,0.000060746785,0.00019022118,0.00016847109,0.0002366042,0.00019919341],"domain_scores_gemma":[0.9995808,0.00006191598,0.00011162115,0.0001678298,0.000022815562,0.00005504651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008429971,0.00008998981,0.00012466943,0.000034734647,0.00005829662,0.000006151395,0.00007756639,0.000048386,0.00012901772],"category_scores_gemma":[0.000047526948,0.00006287114,0.000062558,0.00012775796,0.00016718356,0.00017053573,0.00013125963,0.000100846766,0.000007391947],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016606151,0.00019878283,0.2821883,0.000072091505,0.0000093132,0.0000012529295,0.0000977693,0.0000012462664,0.7110091,0.0054307473,0.00022899559,0.0005963356],"study_design_scores_gemma":[0.00040365415,0.00003589564,0.9096577,0.000016166878,0.000011737278,0.00001528788,0.000011403182,0.00021953825,0.08883279,0.0003260461,0.00039314816,0.00007663573],"about_ca_topic_score_codex":0.000002960051,"about_ca_topic_score_gemma":0.0000016516975,"teacher_disagreement_score":0.6274694,"about_ca_system_score_codex":0.000020196714,"about_ca_system_score_gemma":0.00001976575,"threshold_uncertainty_score":0.25638106},"labels":[],"label_agreement":null},{"id":"W2148773920","doi":"10.1523/jneurosci.2682-05.2005","title":"Deterministic Multiplicative Gain Control with Active Dendrites","year":2005,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":125,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; University of Calgary","funders":"Canadian Institutes of Health Research; Alberta Heritage Foundation for Medical Research; Fondation pour la Recherche Médicale","keywords":"Dendritic spike; Multiplicative function; Automatic gain control; Computer science; Artificial neural network; Computation; Models of neural computation; Inhibitory postsynaptic potential; Control theory (sociology); Dendrite (mathematics); Artificial intelligence; Algorithm; Mathematics; Control (management); Neuroscience; Biology; Excitatory postsynaptic potential","score_opus":0.0253171374911054,"score_gpt":0.2724177903596591,"score_spread":0.24710065286855368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148773920","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.988622,0.000008946828,0.00837833,0.0018912578,0.00039320334,0.00017344598,0.000013311923,0.000021409449,0.0004980812],"genre_scores_gemma":[0.9956263,0.000021474363,0.000373833,0.0036015012,0.00014337325,0.0000034050984,4.968547e-8,0.0000118048265,0.00021828727],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985134,0.00012267948,0.0003035804,0.00029535333,0.0004987979,0.0002661626],"domain_scores_gemma":[0.99853295,0.0005369728,0.0004931912,0.00015983533,0.00012009657,0.0001569497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017651594,0.0001397259,0.00019617612,0.00014743903,0.00019399913,0.000094344694,0.00043043584,0.000027052987,0.0000074558957],"category_scores_gemma":[0.0012320747,0.00009383975,0.00007159199,0.00039392558,0.0003083904,0.0006715907,0.000032129,0.00029485536,0.000010702814],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020901716,0.00010413757,0.00019305003,0.0000023529433,9.601573e-7,0.000113203125,0.00008092467,0.0018036094,0.98607796,0.00025108276,0.000041976768,0.011121726],"study_design_scores_gemma":[0.0039139637,0.0044603194,0.053180687,0.00010178685,0.00006256625,0.0061700772,0.00010818105,0.19629247,0.7242315,0.00053986453,0.010360112,0.0005785103],"about_ca_topic_score_codex":7.584146e-7,"about_ca_topic_score_gemma":0.0000028704544,"teacher_disagreement_score":0.2618465,"about_ca_system_score_codex":0.000053049615,"about_ca_system_score_gemma":0.000082677674,"threshold_uncertainty_score":0.3826674},"labels":[],"label_agreement":null},{"id":"W2149220132","doi":"10.1016/s1472-9288(03)00008-6","title":"Variability of quantal synaptic currents in thalamocortical neurons","year":2003,"lang":"en","type":"article","venue":"Thalamus & Related Systems","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Medical Research Council Canada; Howard Hughes Medical Institute","keywords":"Neuroscience; Biology","score_opus":0.027778421492618312,"score_gpt":0.2590546430927186,"score_spread":0.23127622160010028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149220132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878389,0.000051850715,0.00010948639,0.000030470514,0.002023514,0.0005586634,0.000012270118,0.00007372539,0.009301117],"genre_scores_gemma":[0.99970967,0.00001960498,0.000005655155,0.000015436406,0.000013110037,0.000025113903,0.000002792775,0.000022925544,0.00018569674],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969187,0.0010645101,0.00073313975,0.00053553993,0.00036051267,0.00038759466],"domain_scores_gemma":[0.9986893,0.0005462405,0.00020134327,0.0004258743,0.000034289304,0.00010297302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074709376,0.00019516044,0.00036228186,0.00014382605,0.00007137329,0.000029437768,0.00020319605,0.00016759966,0.000048455826],"category_scores_gemma":[0.0013156484,0.00017032081,0.000098224395,0.00064269785,0.00015141748,0.00014327173,0.000040532443,0.00042511307,0.00006833475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000928094,0.001223474,0.22802639,0.0003125547,0.000032668886,0.00024006226,0.00042328372,0.0044721435,0.43387032,0.3308717,0.000037559752,0.00039701],"study_design_scores_gemma":[0.008323132,0.0022162052,0.24088039,0.0012088093,0.00025554976,0.003330687,0.00068841927,0.66730624,0.048880946,0.02294289,0.0014182868,0.0025484436],"about_ca_topic_score_codex":0.0000638363,"about_ca_topic_score_gemma":0.000003377113,"teacher_disagreement_score":0.6628341,"about_ca_system_score_codex":0.0000803729,"about_ca_system_score_gemma":0.0000546883,"threshold_uncertainty_score":0.6945481},"labels":[],"label_agreement":null},{"id":"W2149661384","doi":"10.1109/iembs.1995.579785","title":"Reconstructing dynamics from neural spike trains","year":2002,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Attractor; Spike (software development); Computer science; Dynamics (music); Point process; Spike train; Embedding; Biological neuron model; Neuron; Series (stratigraphy); Biological system; Sampling (signal processing); Process (computing); Statistical physics; Artificial intelligence; Algorithm; Control theory (sociology); Artificial neural network; Mathematics; Neuroscience; Physics; Mathematical analysis; Computer vision; Acoustics; Biology; Statistics","score_opus":0.05083429316386503,"score_gpt":0.22801221886813577,"score_spread":0.17717792570427074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149661384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9474675,0.0000056620893,0.0007067294,0.0013597162,0.0010449791,0.00009124056,0.000035454737,0.00018939204,0.049099315],"genre_scores_gemma":[0.9940145,0.000013053328,0.00045887637,0.0017557653,0.00012461394,0.000002807726,0.000004872169,0.000015518879,0.0036099867],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902874,0.000043822754,0.0001788409,0.0003659592,0.00014811437,0.00023453614],"domain_scores_gemma":[0.9994804,0.00018900768,0.000059122718,0.00018815057,0.000011050606,0.000072261086],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000036594014,0.00011737937,0.000107421634,0.00004977032,0.00015480234,0.00008338929,0.0001547998,0.00004959565,0.0015969789],"category_scores_gemma":[0.00017887147,0.00010142699,0.000065897075,0.0001859101,0.000064849395,0.00021571145,0.000039492068,0.00016818874,0.00017680823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018861452,0.00013214177,0.0077588917,0.000008422094,0.000007057102,0.00009817784,0.00024360321,0.0002611033,0.4501295,0.03459116,0.0016647729,0.5050863],"study_design_scores_gemma":[0.0002111879,0.000041555602,0.00051462196,0.0000036134763,0.0000042939723,0.000051851886,0.00006506361,0.98936224,0.0071589053,0.0018203282,0.00060683733,0.00015947397],"about_ca_topic_score_codex":0.00006237658,"about_ca_topic_score_gemma":0.00007804878,"teacher_disagreement_score":0.9891012,"about_ca_system_score_codex":0.000038708255,"about_ca_system_score_gemma":0.0000027042074,"threshold_uncertainty_score":0.9993157},"labels":[],"label_agreement":null},{"id":"W2149774880","doi":"10.1152/jn.00402.2009","title":"Development of Auditory Phase-Locked Activity for Music Sounds","year":2009,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"National Institute on Deafness and Other Communication Disorders; Canadian Institutes of Health Research","keywords":"Timbre; Auditory cortex; Phase locking; Stimulus (psychology); Psychology; Auditory perception; Perception; Tonotopy; Neuroscience; Time perception; Audiology; Communication; Speech recognition; Acoustics; Phase (matter); Physics; Cognitive psychology; Computer science; Medicine","score_opus":0.05554693043679927,"score_gpt":0.3020106043582377,"score_spread":0.24646367392143842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149774880","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99676025,0.0000018372381,0.0013808678,0.00022791124,0.0014572561,0.00009625067,0.0000036256288,0.000008234534,0.00006375656],"genre_scores_gemma":[0.9981268,0.0000095844725,0.0007329431,0.00067835156,0.00037356574,0.0000013041745,4.4252954e-7,0.0000083565765,0.000068648704],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99906474,0.00008265369,0.00036370868,0.00016428824,0.00015334685,0.00017123605],"domain_scores_gemma":[0.99898,0.00023451651,0.0005246733,0.00010884426,0.000096392905,0.000055613582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000060113325,0.00010454326,0.00027419117,0.00011985842,0.00009521355,0.000007939592,0.00019213159,0.000046721074,0.0000111638865],"category_scores_gemma":[0.00027608243,0.000082626,0.00013262744,0.00012492224,0.000059291746,0.00012333441,0.000021547725,0.00017454484,0.0000025766265],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005715039,0.00031664665,3.7754631e-7,0.00000951641,0.0000044389667,0.000012110126,0.00005165761,0.00013784485,0.9642207,0.00013018203,0.00021835604,0.03432665],"study_design_scores_gemma":[0.0030955023,0.007414277,0.018986773,0.000025855707,0.000031670752,0.00016177924,0.00001419953,0.003970055,0.9442424,0.0035812063,0.01824317,0.00023307108],"about_ca_topic_score_codex":1.4171373e-7,"about_ca_topic_score_gemma":1.7010784e-7,"teacher_disagreement_score":0.034093577,"about_ca_system_score_codex":0.000026819722,"about_ca_system_score_gemma":0.00007943894,"threshold_uncertainty_score":0.33693904},"labels":[],"label_agreement":null},{"id":"W2149982093","doi":"10.1371/journal.pcbi.1000106","title":"Increased Brain Signal Variability Accompanies Lower Behavioral Variability in Development","year":2008,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":448,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"James S. McDonnell Foundation","keywords":"Electroencephalography; Brain activity and meditation; Correlation; Neuroscience; Psychology; Cognition; Audiology; Medicine; Mathematics","score_opus":0.054480202336277796,"score_gpt":0.27952614870507286,"score_spread":0.22504594636879507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149982093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99322027,0.0000014018503,0.005387585,0.000419995,0.00020660562,0.00027935245,0.000034867804,0.0000811714,0.00036875397],"genre_scores_gemma":[0.9963466,6.512088e-7,0.0024679494,0.0009691642,0.000046165966,0.000039864193,0.00009648115,0.000009587297,0.000023521994],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9976916,0.0008094409,0.00042154748,0.00059437344,0.00019938686,0.0002836587],"domain_scores_gemma":[0.9972075,0.0024026926,0.00009557322,0.00014004974,0.0000783668,0.00007577505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005591746,0.0001704772,0.00023746277,0.00011916881,0.00019904894,0.000014857574,0.00019993488,0.00010832107,0.00023326887],"category_scores_gemma":[0.0007361094,0.00015699938,0.00005079274,0.00028997447,0.00026375084,0.00011710587,0.00011478886,0.00021869308,0.00005109759],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059794384,0.005198723,0.43296108,0.000042115513,0.000024269537,0.000111892106,0.0007002146,0.009920059,0.5207839,0.02400559,0.0002576171,0.005396591],"study_design_scores_gemma":[0.0014382325,0.0003967514,0.8189758,0.000015471376,0.000009014226,0.00010142758,0.000009828119,0.1090518,0.01687304,0.051740944,0.0007977828,0.0005898968],"about_ca_topic_score_codex":0.00003999814,"about_ca_topic_score_gemma":0.000013125309,"teacher_disagreement_score":0.5039109,"about_ca_system_score_codex":0.00014980094,"about_ca_system_score_gemma":0.00022379807,"threshold_uncertainty_score":0.6402249},"labels":[],"label_agreement":null},{"id":"W2150141734","doi":"10.1098/rsta.2009.0229","title":"Oscillatory response in a sensory network of ON and OFF cells with instantaneous and delayed recurrent connections","year":2009,"lang":"en","type":"article","venue":"Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Polarity (international relations); Sensory system; Physics; Control theory (sociology); Lateral inhibition; Biological system; Neuroscience; Computer science; Biology; Cell; Artificial intelligence","score_opus":0.01778276716333759,"score_gpt":0.22580986679849419,"score_spread":0.2080270996351566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150141734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957431,0.000024536994,0.0017788614,0.0022004538,0.00003390035,0.00013029095,0.000008902616,0.000017091363,0.000062888124],"genre_scores_gemma":[0.9994052,0.000029118644,0.0004510335,0.000080654485,0.000019751998,0.0000033232266,3.2047364e-8,0.000004002486,0.0000068547133],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992162,0.000047560523,0.00015591702,0.00022049295,0.00021204424,0.00014779242],"domain_scores_gemma":[0.9988814,0.0009196368,0.000040787985,0.00008314497,0.000011893293,0.0000631484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018480702,0.00010916383,0.00019405318,0.00001974274,0.00015602066,0.00001634062,0.00007637427,0.000039343533,0.00000127279],"category_scores_gemma":[0.00007964201,0.00006670224,0.00006478405,0.00029688477,0.0005324024,0.000049761944,0.000010895174,0.00021240363,1.5179833e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012567842,0.0012225406,0.00001995623,0.00030369544,0.000036525555,0.00000579361,0.0017009078,0.56303394,0.25201148,0.17543642,0.000005786908,0.004966177],"study_design_scores_gemma":[0.000334875,0.001763026,0.0010640861,0.00020789016,0.000030195219,0.000024088906,0.000048625312,0.9173854,0.004839371,0.07413949,0.0000064432247,0.00015651764],"about_ca_topic_score_codex":0.0000015648537,"about_ca_topic_score_gemma":3.248115e-7,"teacher_disagreement_score":0.35435146,"about_ca_system_score_codex":0.000012311396,"about_ca_system_score_gemma":0.000012678324,"threshold_uncertainty_score":0.27200383},"labels":[],"label_agreement":null},{"id":"W2150439267","doi":"10.1162/0899766053630332","title":"A Unified Approach to Building and Controlling Spiking Attractor Networks","year":2005,"lang":"en","type":"article","venue":"Neural Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":175,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Attractor; Computer science; Context (archaeology); Artificial neural network; Chaotic; Topology (electrical circuits); Dynamical systems theory; Artificial intelligence; Theoretical computer science; Mathematics; Physics","score_opus":0.039252316973233094,"score_gpt":0.27178216120510457,"score_spread":0.23252984423187148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150439267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77635205,0.000014916705,0.22215785,0.00051107426,0.00022625006,0.00024235061,0.0000010536197,0.00009590346,0.00039852795],"genre_scores_gemma":[0.99407077,0.000003663956,0.0035371673,0.002043077,0.00028274115,0.000008383897,0.0000038902267,0.000015602242,0.00003470275],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990107,0.0000709809,0.00018349892,0.00036328693,0.00015716553,0.00021440863],"domain_scores_gemma":[0.99953204,0.0002116082,0.000075199176,0.000067255925,0.000026605741,0.0000873062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011523685,0.00011939673,0.0001246225,0.000088503744,0.0002001432,0.00015626212,0.000073668874,0.000043154072,0.0000014611451],"category_scores_gemma":[0.00009892584,0.00011133245,0.000030967254,0.00023734626,0.00002068536,0.00025704803,0.000040590436,0.00015946438,0.0000038637845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046415054,0.000024636121,0.00010318419,0.0000060544653,0.0000012767445,0.0000017995615,0.000071100105,0.7433251,0.19417123,0.0022234765,0.000030494468,0.059995215],"study_design_scores_gemma":[0.0003496331,0.00006642734,0.0020387496,0.000008075071,0.000005598172,0.000025745734,0.000008332833,0.994347,0.0025903496,0.00016796526,0.0002686006,0.00012351749],"about_ca_topic_score_codex":0.000006325495,"about_ca_topic_score_gemma":0.0000020222503,"teacher_disagreement_score":0.2510219,"about_ca_system_score_codex":0.000033007145,"about_ca_system_score_gemma":0.00000464397,"threshold_uncertainty_score":0.45400053},"labels":[],"label_agreement":null},{"id":"W2150601718","doi":"10.1186/s12868-015-0203-1","title":"Summation of connectivity strengths in the visual cortex reveals stability of neuronal microcircuits after plasticity","year":2015,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Neuroscience; Visual cortex; Plasticity; Neuroplasticity; Sensory system; Stimulus (psychology); Functional connectivity; Adaptation (eye); Biology; Psychology; Physics; Cognitive psychology","score_opus":0.06144626406877152,"score_gpt":0.2969703829406823,"score_spread":0.23552411887191077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150601718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997899,0.000003374711,0.0010472444,0.000055582306,0.00040422392,0.00035918612,0.00005966654,0.00001633318,0.0001554128],"genre_scores_gemma":[0.99958664,0.0000029703428,0.000016983138,0.00033977526,0.000019122868,0.000015972402,7.6184494e-7,0.000006865676,0.00001090698],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9975186,0.0006193354,0.00041923634,0.0005145218,0.0006707122,0.00025762263],"domain_scores_gemma":[0.9979032,0.0014161249,0.00026418586,0.00025131425,0.00009259277,0.000072575305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007769306,0.00013919621,0.00021317486,0.00009506379,0.000060667662,0.000035750818,0.0004102424,0.000041630097,0.0000069808025],"category_scores_gemma":[0.0056776684,0.000104944505,0.000061423576,0.00078152254,0.00047664295,0.0003461659,0.00010577399,0.00018373504,0.0000024091175],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012557283,0.0002766705,0.052144308,0.00003607388,1.266407e-7,0.000004031991,0.00020340178,0.00020621934,0.94615555,0.0005327773,0.00001067166,0.0003046107],"study_design_scores_gemma":[0.00039507967,0.00039952982,0.74202055,0.00001616932,0.000004698637,0.000014760253,0.00007731065,0.018798932,0.23755826,0.0005612177,0.00003713023,0.00011637586],"about_ca_topic_score_codex":0.00004426657,"about_ca_topic_score_gemma":0.00010769268,"teacher_disagreement_score":0.7085973,"about_ca_system_score_codex":0.00003285001,"about_ca_system_score_gemma":0.00013546784,"threshold_uncertainty_score":0.6797109},"labels":[],"label_agreement":null},{"id":"W2150607901","doi":"10.1523/jneurosci.4744-13.2014","title":"Perisaccadic Perception of Visual Space in People with Schizophrenia","year":2014,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Alliance for Research on Schizophrenia and Depression","keywords":"Corollary; Saccade; Psychology; Perception; Schizophrenia (object-oriented programming); Visual space; Sensory system; Efference copy; Neuroscience; Cognitive psychology; Smooth pursuit; Visual perception; Eye movement; Mathematics","score_opus":0.014020884178960712,"score_gpt":0.25730114468697485,"score_spread":0.24328026050801413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150607901","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966913,0.0000029967125,0.0020637077,0.0004930746,0.00047021967,0.000069533526,0.0000011505809,0.000007400107,0.00020065645],"genre_scores_gemma":[0.999202,0.000033282537,0.00021696252,0.0003909807,0.000064323496,7.679397e-7,5.357562e-8,0.000009517009,0.00008210045],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99853265,0.00014835526,0.00033595305,0.00023425814,0.00054926577,0.0001995086],"domain_scores_gemma":[0.9991758,0.00013733303,0.000405849,0.00012299433,0.00006845573,0.00008955219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039115816,0.00010636397,0.00021259501,0.00027926345,0.00007641045,0.000049981172,0.00030006602,0.000030416848,0.000009540143],"category_scores_gemma":[0.00071284344,0.000076143435,0.0000574067,0.0008028878,0.00017994936,0.0005020691,0.000039833256,0.00026307482,0.000002868914],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017456505,0.00009981022,0.0076637547,0.000009135563,1.7852273e-7,0.000013181303,0.00010674129,0.0009986408,0.9887809,0.00033354916,0.000014179794,0.0018053547],"study_design_scores_gemma":[0.0014525431,0.0039665606,0.8726452,0.000108493776,0.000011106963,0.00097177655,0.00011870391,0.07042129,0.049136903,0.00031310698,0.00063143915,0.00022289382],"about_ca_topic_score_codex":0.000008231214,"about_ca_topic_score_gemma":0.000019424013,"teacher_disagreement_score":0.939644,"about_ca_system_score_codex":0.00003328934,"about_ca_system_score_gemma":0.00006972022,"threshold_uncertainty_score":0.3105039},"labels":[],"label_agreement":null},{"id":"W2150659652","doi":"10.1162/jocn_a_00582","title":"Recognizing an Object from the Sum of Its Parts: An Intracranial Study on Alpha Rhythms","year":2014,"lang":"en","type":"article","venue":"Journal of Cognitive Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Hôpital Notre-Dame; Université de Montréal","funders":"","keywords":"Psychology; Rhythm; Alpha rhythm; Alpha (finance); Object (grammar); Neuroscience; Communication; Cognitive psychology; Cognitive science; Electroencephalography; Developmental psychology; Artificial intelligence; Computer science; Physics; Acoustics","score_opus":0.06466009789403317,"score_gpt":0.31122136216876917,"score_spread":0.24656126427473601,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150659652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99610114,0.0000069044804,0.0008984079,0.00031234784,0.0020635978,0.00032565914,0.000039578084,0.00001760578,0.00023476874],"genre_scores_gemma":[0.9961569,0.000035469177,0.000018918927,0.0032611229,0.0004843923,0.0000036522774,6.931233e-7,0.000019281742,0.00001961281],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9965159,0.001156024,0.00057115837,0.00050220435,0.00095310586,0.00030159872],"domain_scores_gemma":[0.99642116,0.0020619133,0.0007566654,0.00024540798,0.00033436072,0.00018048286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001245896,0.00020303892,0.00030592666,0.00013530193,0.0003540444,0.00018444571,0.000630851,0.000042317926,0.00001549874],"category_scores_gemma":[0.007527206,0.00013158884,0.00010203597,0.0005275836,0.00027130469,0.0010908154,0.000074928495,0.0005173024,0.0000070464284],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005954558,0.0011966588,0.0028950651,0.0000032706969,0.0000037554425,0.00014869554,0.0009944199,0.00014046207,0.9603061,0.00012633669,0.000016297747,0.03357348],"study_design_scores_gemma":[0.0037518728,0.03295452,0.5794357,0.00038010743,0.00015067549,0.00061270344,0.0024312523,0.030922601,0.346826,0.0014648851,0.00046073773,0.00060893904],"about_ca_topic_score_codex":0.000011040072,"about_ca_topic_score_gemma":0.000020782185,"teacher_disagreement_score":0.6134801,"about_ca_system_score_codex":0.000018479457,"about_ca_system_score_gemma":0.00007501522,"threshold_uncertainty_score":0.9011313},"labels":[],"label_agreement":null},{"id":"W2150706548","doi":"10.1162/neco.2009.02-09-970","title":"Population Models of Temporal Differentiation","year":2009,"lang":"en","type":"article","venue":"Neural Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Feed forward; Computer science; Biological neural network; Network dynamics; Electronic circuit; Artificial neural network; Synaptic weight; Biological system; Mathematics; Artificial intelligence; Machine learning; Physics; Control engineering; Engineering","score_opus":0.03981832876196545,"score_gpt":0.2725932721720912,"score_spread":0.23277494341012578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150706548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9688677,0.0000037948314,0.029913763,0.00033835514,0.00026153895,0.0001580772,0.0000037916006,0.00008066209,0.00037232714],"genre_scores_gemma":[0.9993159,0.0000022229524,0.00023344341,0.0003089376,0.00004185742,0.0000014212236,0.000057262067,0.000006031796,0.00003291252],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991593,0.000074285366,0.00023136282,0.00020320702,0.00022906132,0.00010283305],"domain_scores_gemma":[0.9996406,0.000054195407,0.00016471923,0.00007377796,0.00003890533,0.00002782464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004638494,0.00008462914,0.000109056535,0.000096571704,0.00007266655,0.00002818088,0.00006058213,0.000036955094,0.000005026831],"category_scores_gemma":[0.00004172242,0.00007782207,0.000048940703,0.0002120303,0.000012035398,0.00040060232,0.000009617723,0.00006756311,0.000003023245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010223723,0.00013838946,0.0017742797,0.000017574448,0.000001565194,0.0000024288006,0.00011041689,0.26084515,0.6030751,0.020426359,0.00007996848,0.11342654],"study_design_scores_gemma":[0.0002074162,0.0001675212,0.08002593,0.0000057628336,0.000004317879,0.0000041820686,0.000002545665,0.86028856,0.012090416,0.047130372,0.0000021013677,0.00007089646],"about_ca_topic_score_codex":0.000022603966,"about_ca_topic_score_gemma":0.0000028609884,"teacher_disagreement_score":0.5994434,"about_ca_system_score_codex":0.000022144686,"about_ca_system_score_gemma":0.000004068724,"threshold_uncertainty_score":0.3173492},"labels":[],"label_agreement":null},{"id":"W2151029243","doi":"10.1523/jneurosci.0459-04.2004","title":"Parallel Processing of Sensory Input by Bursts and Isolated Spikes","year":2004,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":206,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Bursting; Sensory system; Stimulus (psychology); Computer science; Information transfer; Neuroscience; Spike train; Spike (software development); Pyramidal cell; Biological system; Artificial intelligence; Biology; Telecommunications; Psychology","score_opus":0.028513783015611423,"score_gpt":0.26655520531506716,"score_spread":0.23804142229945574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151029243","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934106,0.00009418943,0.0050115352,0.0009256735,0.0003816911,0.00006508353,0.000004012221,0.000011499859,0.000095717776],"genre_scores_gemma":[0.99836296,0.00019629077,0.00025331267,0.0010127444,0.000030143954,3.3012896e-7,5.246549e-8,0.00000823856,0.00013591982],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99876475,0.000047128407,0.00036327293,0.0002258099,0.0004071211,0.00019191901],"domain_scores_gemma":[0.99917907,0.000060569244,0.0004778509,0.00009131328,0.00008105237,0.0001101258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018741123,0.00010626679,0.00017715915,0.00012794056,0.00013498259,0.00007582243,0.00023886733,0.00003530554,0.000001203],"category_scores_gemma":[0.00049882615,0.000081851154,0.000046736415,0.00040255228,0.00030533073,0.00059023575,0.000048056238,0.00021572196,6.710023e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000432839,0.00006710039,0.00021214444,0.000015328693,2.1733861e-7,0.00004989492,0.00006218332,0.0008570464,0.99674153,0.00011972974,0.000027628786,0.0018038836],"study_design_scores_gemma":[0.0026990047,0.003726651,0.021205114,0.0003364369,0.000035527457,0.0053821094,0.000080556274,0.026713371,0.9320305,0.004537802,0.0027253525,0.0005275707],"about_ca_topic_score_codex":0.0000033083481,"about_ca_topic_score_gemma":4.8667266e-7,"teacher_disagreement_score":0.06471106,"about_ca_system_score_codex":0.000020308029,"about_ca_system_score_gemma":0.00007580936,"threshold_uncertainty_score":0.33377934},"labels":[],"label_agreement":null},{"id":"W2151507971","doi":"10.1007/s10827-015-0577-1","title":"Examining the limits of cellular adaptation bursting mechanisms in biologically-based excitatory networks of the hippocampus","year":2015,"lang":"en","type":"article","venue":"Journal of Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Toronto; University Health Network","funders":"","keywords":"Bursting; Neuroscience; Excitatory postsynaptic potential; Context (archaeology); Population; Computer science; Computational model; Hippocampus; Network model; Inhibitory postsynaptic potential; Pyramidal cell; Biological system; Artificial intelligence; Biology","score_opus":0.10899725911933682,"score_gpt":0.26924694892392176,"score_spread":0.16024968980458493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151507971","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80875564,0.00002441237,0.18977624,0.0004445253,0.0008708604,0.000099055505,0.0000011955375,0.000004023109,0.000024059851],"genre_scores_gemma":[0.99737674,0.000003634778,0.0016670423,0.00090809196,0.000034436565,0.0000012263134,2.4890574e-7,0.0000056200197,0.0000029875862],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979702,0.00042174227,0.0005631645,0.00017348777,0.00072942086,0.000141953],"domain_scores_gemma":[0.9974381,0.0011867137,0.0009604313,0.000109922956,0.00024928845,0.000055566936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001194588,0.00009364052,0.00016215471,0.00012589344,0.00011439705,0.000027682401,0.0005202111,0.00003674927,0.0000012028644],"category_scores_gemma":[0.0021513351,0.00005369922,0.00007387699,0.00078973145,0.0003764049,0.00018307143,0.00005621793,0.0002518378,2.0897564e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030008225,0.0000396074,0.0004640627,0.00000378087,3.530566e-7,0.0000059043978,0.000081327,0.7051967,0.28971398,0.0029071907,0.0000039037072,0.001553213],"study_design_scores_gemma":[0.00037493344,0.00045839467,0.027043516,0.000061096354,0.000005375073,0.00003574436,0.0000830308,0.91163373,0.0137263825,0.046509326,0.000007375521,0.00006112041],"about_ca_topic_score_codex":0.0000027822614,"about_ca_topic_score_gemma":0.0000010649209,"teacher_disagreement_score":0.2759876,"about_ca_system_score_codex":0.000032690434,"about_ca_system_score_gemma":0.00023405478,"threshold_uncertainty_score":0.25755045},"labels":[],"label_agreement":null},{"id":"W2151618704","doi":"10.1088/1741-2560/11/4/046004","title":"Stochastic optimal control of single neuron spike trains","year":2014,"lang":"en","type":"article","venue":"Journal of Neural Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Danmarks Frie Forskningsfond","keywords":"Spike (software development); Computer science; Noise (video); Controller (irrigation); Control theory (sociology); Biological neuron model; Optimal control; Train; Spiking neural network; Artificial neural network; Biological system; Mathematical optimization; Control (management); Mathematics; Artificial intelligence","score_opus":0.015871044277398983,"score_gpt":0.20845521834356712,"score_spread":0.19258417406616812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151618704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8622751,0.000014990886,0.13638201,0.0002525413,0.00094869855,0.000059742822,0.000003244277,0.000020105233,0.0000435455],"genre_scores_gemma":[0.99932706,0.0000021672345,0.000209772,0.0001728056,0.00024487908,6.18284e-7,1.401368e-7,0.000020731632,0.000021848087],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989756,0.00003908352,0.00039753842,0.00012052824,0.0002694405,0.00019781804],"domain_scores_gemma":[0.9991674,0.00031903296,0.00026183357,0.000100258374,0.000053642565,0.000097835364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015509562,0.0001258385,0.00025534868,0.00015740424,0.000029025663,0.000027263546,0.00018176534,0.00003511614,0.000008263751],"category_scores_gemma":[0.0008270403,0.00010517364,0.00014160106,0.00015209688,0.00002680914,0.0002177663,0.00001809013,0.0002468751,0.0000014587765],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029506145,0.000023871993,0.0000049251134,0.0000104334495,0.0000022123645,0.000010753452,0.000013132591,0.4056571,0.59278274,0.00020857796,0.000006386198,0.0012503495],"study_design_scores_gemma":[0.00085564126,0.0010941713,0.0011506366,0.000040929484,0.000024022473,0.00042570496,0.0000044706458,0.95390356,0.042069282,0.000025727912,0.0002859697,0.000119889686],"about_ca_topic_score_codex":6.988874e-7,"about_ca_topic_score_gemma":1.5250143e-7,"teacher_disagreement_score":0.5507135,"about_ca_system_score_codex":0.000022852364,"about_ca_system_score_gemma":0.000009790128,"threshold_uncertainty_score":0.42888567},"labels":[],"label_agreement":null},{"id":"W2151632051","doi":"10.1371/journal.pone.0013651","title":"Irregular Dynamics in Up and Down Cortical States","year":2010,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; General Dynamics (Canada)","funders":"","keywords":"Bistability; Statistical physics; Physics; Noise (video); Dynamical systems theory; Neuroscience; Biological system; Computer science; Biology; Quantum mechanics; Artificial intelligence","score_opus":0.027546807962256954,"score_gpt":0.22478811505966081,"score_spread":0.19724130709740387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151632051","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982236,0.0000031974914,0.000022681334,0.0009920689,0.00014016796,0.000117058866,0.000013128286,0.000035503468,0.00045258834],"genre_scores_gemma":[0.9987848,0.000034770095,0.00017303793,0.00035814513,0.000027257523,0.00000685112,0.000005506653,0.0000091634365,0.00060046924],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931884,0.000028077166,0.00010883297,0.00022135947,0.00016230211,0.00016060597],"domain_scores_gemma":[0.9996298,0.00014319981,0.000023201705,0.0001288414,0.000014594579,0.000060343893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000080014586,0.000067929126,0.00009862176,0.000048819235,0.000054244516,0.000041974563,0.00006981907,0.000046391782,0.00004234711],"category_scores_gemma":[0.0003264478,0.000060756476,0.000011353767,0.00011507456,0.00009725752,0.00009166154,0.00004697075,0.0002815434,0.000020977528],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021644551,0.00028390906,0.009382475,0.00001689324,0.0000021354917,0.000012161277,0.000031626296,0.0000015578139,0.9762991,0.013007227,0.000011980284,0.00092929817],"study_design_scores_gemma":[0.0007702988,0.00022110766,0.051587623,0.000042524214,0.0000264835,0.000019184847,0.000048647205,0.709372,0.22452892,0.012957196,0.00012627216,0.00029975196],"about_ca_topic_score_codex":0.000018038543,"about_ca_topic_score_gemma":0.00026909448,"teacher_disagreement_score":0.7517702,"about_ca_system_score_codex":0.000017944112,"about_ca_system_score_gemma":0.0000078492185,"threshold_uncertainty_score":0.24775772},"labels":[],"label_agreement":null},{"id":"W2152017754","doi":"10.1109/iembs.1995.579778","title":"Encoding information in neural feedback circuits","year":2002,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nonlinear system; Encoding (memory); Artificial neural network; Biological neural network; Computer science; Simple (philosophy); Recurrent neural network; Electronic circuit; Spike (software development); Spiking neural network; Neural system; Differential equation; Control theory (sociology); Function (biology); Biological system; Artificial intelligence; Neuroscience; Mathematics; Physics; Machine learning; Biology; Mathematical analysis","score_opus":0.04206900254563901,"score_gpt":0.23044238063001773,"score_spread":0.18837337808437873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152017754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8950954,0.0000034493385,0.000174642,0.0008443061,0.00038018078,0.000112279966,0.0000014924016,0.00007515971,0.103313066],"genre_scores_gemma":[0.99663436,0.000013225822,0.000008897526,0.002298237,0.00002061739,0.0000038174803,9.368852e-7,0.0000029719736,0.0010169355],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994544,0.000022753662,0.0001463339,0.00010416953,0.0001235468,0.00014881023],"domain_scores_gemma":[0.99979186,0.00005607013,0.000033235487,0.00008110649,0.000008365358,0.000029354831],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004694142,0.00005755769,0.000051311505,0.00010128446,0.0000501908,0.00006574169,0.000079974314,0.00002626279,0.00038061675],"category_scores_gemma":[0.00015254643,0.000049733335,0.00002011655,0.0002647604,0.000014961644,0.0008822377,0.00002185808,0.00008878777,0.0004041394],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011178774,0.00012367015,0.004782546,0.0000369682,0.0000011437528,0.000028707456,0.0010434301,0.0034197702,0.505669,0.021205494,0.0045813643,0.45909673],"study_design_scores_gemma":[0.0004703228,0.00006195811,0.0071026958,0.0000080450645,0.0000010677282,0.000036511,0.000049279843,0.9684466,0.018616715,0.00035750732,0.0046755406,0.00017373881],"about_ca_topic_score_codex":0.0000120815175,"about_ca_topic_score_gemma":0.0000074266063,"teacher_disagreement_score":0.96502686,"about_ca_system_score_codex":0.000024583085,"about_ca_system_score_gemma":0.000001676609,"threshold_uncertainty_score":0.5194529},"labels":[],"label_agreement":null},{"id":"W2152388511","doi":"10.1109/tnn.2005.844089","title":"Refractory Pulse Counting Processes in Stochastic Neural Computers","year":2005,"lang":"en","type":"letter","venue":"IEEE Transactions on Neural Networks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Dead time; Bernoulli's principle; Bernoulli distribution; Pulse (music); Artificial neural network; Stochastic process; Computer science; Transient (computer programming); Detector; Refractory period; Control theory (sociology); Mathematics; Statistics; Physics; Artificial intelligence; Telecommunications; Random variable","score_opus":0.023204648703050924,"score_gpt":0.23983144196753792,"score_spread":0.216626793264487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152388511","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10209924,0.0004099767,0.44520766,0.39929637,0.04441014,0.005016056,0.0006142432,0.0022956824,0.00065063074],"genre_scores_gemma":[0.7391389,0.00010162134,0.000018762967,0.25691596,0.0025213447,0.0001038222,0.00004354048,0.00014629187,0.0010097567],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9957011,0.00031217915,0.0007710025,0.0013857265,0.0007187236,0.0011112674],"domain_scores_gemma":[0.9973034,0.0015737101,0.00036803793,0.0005465006,0.00008418038,0.00012411673],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00013498613,0.0008028844,0.00065079564,0.0005738711,0.0004176303,0.00029096656,0.00064824295,0.0008530511,0.00011173076],"category_scores_gemma":[0.00004526439,0.000781981,0.00027062037,0.001108888,0.00020679695,0.00057455903,0.0000068983177,0.00584969,0.000048255748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010002565,0.00014246361,0.0000012582541,0.00009655022,0.000010784582,0.00041935724,0.000036390345,0.9467162,0.0006551701,7.265156e-7,0.026329763,0.025491327],"study_design_scores_gemma":[0.0006379913,0.00030935768,0.0000134273705,0.0002429096,0.000058291156,0.00017592154,0.0000050855983,0.98531884,0.00027543952,0.000010798794,0.012093032,0.0008588892],"about_ca_topic_score_codex":0.000043733544,"about_ca_topic_score_gemma":0.00015589064,"teacher_disagreement_score":0.63703966,"about_ca_system_score_codex":0.00026682924,"about_ca_system_score_gemma":0.0000745028,"threshold_uncertainty_score":0.99946314},"labels":[],"label_agreement":null},{"id":"W2152476757","doi":"10.1093/cercor/bhm073","title":"Large-Scale Gamma-Band Phase Synchronization and Selective Attention","year":2007,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":266,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Percept; Cued speech; Synchronization (alternating current); Phase synchronization; Context (archaeology); Neuroscience; Computer science; Visual cortex; Psychology; Perception; Cognitive psychology; Biology; Telecommunications","score_opus":0.012876204185394294,"score_gpt":0.2656480597912814,"score_spread":0.2527718556058871,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152476757","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9696526,0.000019243344,0.026907692,0.00011018887,0.00038240018,0.0002221425,0.00001567027,0.00008746066,0.0026026322],"genre_scores_gemma":[0.99824995,0.000015620895,0.000047468217,0.0004345577,0.00012303708,0.0000035002793,0.000023363165,0.00001617127,0.0010863248],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989546,0.000039054397,0.0001700766,0.00038136894,0.00016920787,0.00028571513],"domain_scores_gemma":[0.9996029,0.00006302361,0.00008250393,0.00011257941,0.000047000536,0.00009198517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017646232,0.00011709142,0.00010438184,0.0000838861,0.00023479805,0.00006134756,0.00006107578,0.00006501297,0.00006401135],"category_scores_gemma":[0.00008851657,0.00010881777,0.000035567435,0.0003080158,0.000057695404,0.00026715262,0.00002746329,0.00012755848,0.000030959083],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015132311,0.00020987753,0.008815672,0.000021943019,0.0000045642378,0.000021016722,0.00020774594,0.0000057212587,0.9700311,0.0020711552,0.00048124418,0.01797865],"study_design_scores_gemma":[0.009110022,0.0019406884,0.42735684,0.000075125994,0.00009986184,0.00034443318,0.00050282764,0.10801362,0.43947977,0.0061405036,0.005825706,0.0011106059],"about_ca_topic_score_codex":0.000006168879,"about_ca_topic_score_gemma":0.00006944587,"teacher_disagreement_score":0.5305513,"about_ca_system_score_codex":0.00005320036,"about_ca_system_score_gemma":0.000014650445,"threshold_uncertainty_score":0.44374597},"labels":[],"label_agreement":null},{"id":"W2152587029","doi":"10.1093/cercor/10.12.1185","title":"Origin of Slow Cortical Oscillations in Deafferented Cortical Slabs","year":2000,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":738,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Neuroscience; Excitatory postsynaptic potential; Bursting; Cortex (anatomy); Postsynaptic potential; Depolarization; Inhibitory postsynaptic potential; Electrophysiology; Physics; Chemistry; Biology; Biophysics","score_opus":0.02981536872831009,"score_gpt":0.2721243278070217,"score_spread":0.24230895907871164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152587029","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99181837,0.0000055781293,0.00010576944,0.00027881126,0.00026650517,0.000212234,0.00002408429,0.00006267645,0.0072259773],"genre_scores_gemma":[0.9975323,0.000017751356,0.00006449481,0.0004016276,0.000045123394,0.000007720616,0.000011070461,0.000015957005,0.001903965],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99846214,0.00014320893,0.00040024307,0.00039109876,0.00028108375,0.00032223552],"domain_scores_gemma":[0.9992868,0.0002629067,0.000057371715,0.0002465501,0.000029477102,0.00011691815],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000091396316,0.000144375,0.00022602332,0.00010321137,0.00010035164,0.000027559663,0.00016794559,0.000085374864,0.0019224418],"category_scores_gemma":[0.00028391788,0.00012780825,0.00007924821,0.00052815885,0.00016887033,0.00014219074,0.000032838965,0.00031673358,0.00018651821],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003948548,0.00037111234,0.08361924,0.000033812852,0.000008491415,0.00006864096,0.00012818565,0.0002175864,0.8442499,0.052816454,0.00074401195,0.017347706],"study_design_scores_gemma":[0.0015053764,0.00042998625,0.86841977,0.00004815105,0.000025199512,0.000056307545,0.000026406437,0.10274202,0.020852959,0.002977084,0.0025288537,0.00038786491],"about_ca_topic_score_codex":0.000046012625,"about_ca_topic_score_gemma":0.00006756507,"teacher_disagreement_score":0.8233969,"about_ca_system_score_codex":0.00004638641,"about_ca_system_score_gemma":0.00004640471,"threshold_uncertainty_score":0.99898994},"labels":[],"label_agreement":null},{"id":"W2152673832","doi":"10.1111/1469-8986.3720127","title":"Guidelines for using human event‐related potentials to study cognition: Recording standards and publication criteria","year":2000,"lang":"en","type":"article","venue":"Psychophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2079,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital","funders":"","keywords":"Psychology; Cognition; Event-related potential; Cognitive psychology; Neuroscience","score_opus":0.11710679095770574,"score_gpt":0.4340027518323871,"score_spread":0.3168959608746814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152673832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955456,0.000007072678,0.0011846347,0.0015188733,0.0005794993,0.00078493974,0.00008097826,0.00005824723,0.00024010711],"genre_scores_gemma":[0.99682117,0.000010458031,0.00055390585,0.0020262194,0.00017358926,0.00007094458,0.000026179867,0.000017321805,0.00030022577],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99873376,0.00013124492,0.00035339402,0.00047674993,0.000115827446,0.00018902044],"domain_scores_gemma":[0.9993374,0.00006226466,0.00008458008,0.00016443057,0.00029093077,0.000060435093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000274479,0.00011610507,0.00016948913,0.00009644457,0.0003404883,0.0000665109,0.00009645757,0.000053150932,0.00050643936],"category_scores_gemma":[0.0003750672,0.00010815865,0.00004146353,0.00022381936,0.00003360733,0.00014591643,0.000024487339,0.000056241468,0.000011187047],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001548647,0.000096767064,0.000018278577,0.00000586249,0.000008106942,8.049072e-7,0.000053236432,0.00003807329,0.9772002,0.00011144479,0.0012657631,0.02104656],"study_design_scores_gemma":[0.030863633,0.02477624,0.049980164,0.00042268515,0.00085929484,0.00047516334,0.0013090869,0.15904531,0.2982571,0.37663585,0.05239165,0.0049838386],"about_ca_topic_score_codex":0.000014257879,"about_ca_topic_score_gemma":0.0000023813438,"teacher_disagreement_score":0.67894316,"about_ca_system_score_codex":0.000020518979,"about_ca_system_score_gemma":0.000010120312,"threshold_uncertainty_score":0.5545156},"labels":[],"label_agreement":null},{"id":"W2152712045","doi":"10.1113/jphysiol.2007.129833","title":"Activity‐dependent changes in temporal components of neurotransmission at the juvenile mouse calyx of Held synapse","year":2007,"lang":"en","type":"article","venue":"The Journal of Physiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Burroughs Wellcome Fund","keywords":"Neurotransmission; Neuroscience; Postsynaptic potential; Chemistry; Synapse; Electrophysiology; Biophysics; Postsynaptic Current; Inhibitory postsynaptic potential; EGTA; Long-term potentiation; Patch clamp; Calcium; Biology; Receptor; Biochemistry","score_opus":0.036988020047018955,"score_gpt":0.27498614292152196,"score_spread":0.237998122874503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152712045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99847317,0.000027799959,0.000044958346,0.0010369353,0.000243636,0.00012852784,0.000007634017,0.0000025400357,0.000034814024],"genre_scores_gemma":[0.9994557,0.000110566514,0.0000034379877,0.000221012,0.00004611531,5.436958e-7,5.293294e-7,0.0000074608006,0.0001546416],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987846,0.00040278395,0.0003218159,0.000095873285,0.00022766965,0.00016728003],"domain_scores_gemma":[0.9986083,0.0005917404,0.0005550069,0.00017071549,0.000039555398,0.00003471779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000724404,0.00008948836,0.00025140893,0.00009608068,0.000064938205,0.000002126563,0.00030660615,0.00004729218,0.00003360136],"category_scores_gemma":[0.000090657166,0.00004510818,0.0000733375,0.00015191089,0.00018316685,0.00005604643,0.00008813534,0.00028046506,0.0000015042224],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011806987,0.00014639721,0.00020034407,0.000019264191,0.000004682069,0.000007319034,0.00016620236,0.0005955067,0.9971048,0.00002467032,0.000037550923,0.0005125234],"study_design_scores_gemma":[0.00041032626,0.00056882546,0.028849676,0.000022473028,0.000011293148,0.00006286305,0.000032423366,0.0004427079,0.96923333,0.00024372888,0.00008102053,0.000041331758],"about_ca_topic_score_codex":0.00011633562,"about_ca_topic_score_gemma":0.00018879559,"teacher_disagreement_score":0.028649332,"about_ca_system_score_codex":0.00002859481,"about_ca_system_score_gemma":0.000015102203,"threshold_uncertainty_score":0.18394582},"labels":[],"label_agreement":null},{"id":"W2152923429","doi":"10.1016/j.jneumeth.2012.03.008","title":"A comparative analysis of integrating visual information in local neuronal ensembles","year":2012,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"National Institute on Deafness and Other Communication Disorders","keywords":"Spike (software development); Pattern recognition (psychology); Computer science; Artificial intelligence; Spike train; Millisecond; Neuroscience; Physics; Psychology","score_opus":0.09086193268992275,"score_gpt":0.42706639350267644,"score_spread":0.3362044608127537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152923429","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78133374,0.000011371241,0.2175554,0.00007739801,0.0007277053,0.000059596834,0.0000032311734,0.0000050202334,0.0002265324],"genre_scores_gemma":[0.99141484,0.000016075004,0.007974353,0.00054693315,0.000034690365,0.0000012464809,3.653044e-7,0.0000031609725,0.000008334598],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99727595,0.00093340024,0.00084035203,0.00013488242,0.00053435453,0.00028108695],"domain_scores_gemma":[0.99775916,0.0010061237,0.0008864088,0.00010186645,0.00012364516,0.00012280802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020888632,0.00012900512,0.000458912,0.0011521492,0.000077976125,0.00005640205,0.0002878413,0.000040410523,0.0000086921],"category_scores_gemma":[0.0021788396,0.00009673905,0.00018994471,0.0032151644,0.00023609857,0.001967741,0.00007094584,0.00035744108,9.3012335e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000066000146,0.00012868166,0.0033996436,0.000006340726,0.000005004071,0.0000029046082,0.0008556119,0.009346113,0.9688637,0.0008730984,0.000007890755,0.016444992],"study_design_scores_gemma":[0.00031343134,0.0005984956,0.16704279,0.000024917681,0.000109538174,0.000109573564,0.0006548384,0.52365994,0.30637962,0.00014844394,0.0008037705,0.00015465134],"about_ca_topic_score_codex":0.000008730861,"about_ca_topic_score_gemma":0.0000035475246,"teacher_disagreement_score":0.6624841,"about_ca_system_score_codex":0.00005280173,"about_ca_system_score_gemma":0.00006609404,"threshold_uncertainty_score":0.3944904},"labels":[],"label_agreement":null},{"id":"W2152975148","doi":"10.1109/tnn.2006.882814","title":"Basic Difference Between Brain and Computer: Integration of Asynchronous Processes Implemented as Hardware Model of the Retina","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Neural Networks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Process (computing); Asynchronous communication; Synchronization (alternating current); Preprocessor; Retina; Receptive field; Artificial intelligence; Computer hardware; Neuroscience","score_opus":0.02941815770757968,"score_gpt":0.2619552074771494,"score_spread":0.2325370497695697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152975148","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5234387,0.000004965364,0.47583562,0.0002383101,0.00019069306,0.00021267352,0.000033287084,0.000024191793,0.000021549955],"genre_scores_gemma":[0.9992972,0.00003666354,0.00010696363,0.00039234874,0.000050028553,0.000007946849,0.0000032275925,0.000015977745,0.000089645655],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987474,0.000086776134,0.00037367115,0.0003170523,0.00024648983,0.0002286173],"domain_scores_gemma":[0.99882627,0.00060955517,0.0002026133,0.00022055929,0.000081283535,0.000059699756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001533752,0.0001706617,0.00020458683,0.00008327768,0.0002055373,0.000023459485,0.00020119458,0.000080891165,0.0000071988334],"category_scores_gemma":[0.000030051282,0.00012238252,0.00008077921,0.0004501225,0.0001650583,0.00011813776,0.0000060015977,0.00031869792,3.471383e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034176043,0.00023701978,0.0008744662,0.00014625177,0.00002219783,0.0000029887613,0.0003755878,0.41468298,0.3133792,0.00041992476,0.000068706744,0.26944894],"study_design_scores_gemma":[0.00030026236,0.0003860507,0.0031097026,0.00007572331,0.000027290724,0.000010397278,0.00001586895,0.7834631,0.21227522,0.0002152593,0.0000051091847,0.00011600956],"about_ca_topic_score_codex":0.000032035165,"about_ca_topic_score_gemma":0.00012125427,"teacher_disagreement_score":0.47585848,"about_ca_system_score_codex":0.000026327318,"about_ca_system_score_gemma":0.000028174993,"threshold_uncertainty_score":0.49906147},"labels":[],"label_agreement":null},{"id":"W2152977277","doi":"10.1038/nn.3749","title":"Population coding of affect across stimuli, modalities and individuals","year":2014,"lang":"en","type":"article","venue":"Nature Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":331,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Japan Society for the Promotion of Science; Canadian Institutes of Health Research","keywords":"Valence (chemistry); Psychology; Sensory system; Affect (linguistics); Orbitofrontal cortex; Stimulus modality; Neuroscience; Population; Cognitive psychology; Coding (social sciences); Communication; Cognition; Prefrontal cortex; Medicine","score_opus":0.02631428499055459,"score_gpt":0.31479381186967564,"score_spread":0.28847952687912104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152977277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976846,0.00001697273,0.00057283655,0.000282985,0.0008657575,0.00014732804,0.000030845218,0.000057223246,0.00034146517],"genre_scores_gemma":[0.9979532,0.000022059885,0.00006590798,0.0017594306,0.000048483253,0.0000034213417,0.0000015250429,0.000009771324,0.00013620475],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998523,0.00013820987,0.0001726155,0.000477852,0.00042630103,0.00026205005],"domain_scores_gemma":[0.9991154,0.00045380802,0.00014046433,0.00019657883,0.000027378852,0.00006638164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003940102,0.00012563195,0.00016170427,0.00007705262,0.00027076105,0.00010657264,0.00023640791,0.0001135661,0.00000231537],"category_scores_gemma":[0.002514999,0.000105552834,0.000035035224,0.00041724398,0.00023268479,0.00037090096,0.00013038125,0.00031609935,0.0000010790884],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011103763,0.000021909796,0.018119542,0.000037072383,2.486939e-7,0.000001449297,0.00010843297,0.00032892305,0.9522547,0.025635561,0.000035842713,0.003445223],"study_design_scores_gemma":[0.0004929021,0.00039168625,0.6721988,0.000056962872,0.000007925479,0.000057988993,0.000027239454,0.07011036,0.24929748,0.005970589,0.0010745653,0.00031354371],"about_ca_topic_score_codex":0.000013446447,"about_ca_topic_score_gemma":0.0000040938594,"teacher_disagreement_score":0.7029572,"about_ca_system_score_codex":0.000011171235,"about_ca_system_score_gemma":0.000007665263,"threshold_uncertainty_score":0.43043196},"labels":[],"label_agreement":null},{"id":"W2153130322","doi":"10.1109/tbme.2005.869800","title":"Dynamics of Epileptic Phenomena Determined From Statistics of Ictal Transitions","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":132,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Western Hospital; University of Toronto; Ontario Brain Institute","funders":"","keywords":"Ictal; Bistability; Statistical physics; Epilepsy; Poisson distribution; Computer science; Random walk; Stochastic process; Physics; Neuroscience; Mathematics; Artificial intelligence; Statistics; Psychology","score_opus":0.008457634205697081,"score_gpt":0.2036453085303544,"score_spread":0.1951876743246573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153130322","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2215602,0.0000025157844,0.7760322,0.00010648794,0.00047284266,0.00008968977,0.0016371836,0.000054757715,0.000044090637],"genre_scores_gemma":[0.99654067,0.000012380665,0.0032447458,0.000023140099,0.00005054642,0.000010626358,0.000044682296,0.000021600374,0.000051619874],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998891,0.000020215075,0.00039027518,0.00021609684,0.00029670924,0.0001856796],"domain_scores_gemma":[0.9993573,0.00031547048,0.00006811378,0.00015498992,0.0000250553,0.00007906786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004540072,0.00013786278,0.00020833536,0.00020758336,0.000048250506,0.000008202727,0.00011511288,0.00007991486,0.000095332376],"category_scores_gemma":[0.000016857899,0.0001363675,0.00008901864,0.0003641053,0.00013570019,0.00006792523,9.616355e-7,0.00017884803,0.0000050863805],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034978413,0.00035007315,0.0000016260623,0.00004769424,0.000012348709,0.000011080427,0.000033512322,0.058546744,0.92886794,0.0016518892,0.000011092432,0.010431012],"study_design_scores_gemma":[0.00048580332,0.00022570485,0.00016879184,0.000045095952,0.00003868523,0.0000072673674,0.000010474281,0.85003906,0.148313,0.0004732031,0.00005059716,0.00014233243],"about_ca_topic_score_codex":0.00009189236,"about_ca_topic_score_gemma":0.000032680848,"teacher_disagreement_score":0.7914923,"about_ca_system_score_codex":0.000055334705,"about_ca_system_score_gemma":0.000022743656,"threshold_uncertainty_score":0.55609053},"labels":[],"label_agreement":null},{"id":"W2153628333","doi":"10.3389/fpsyg.2011.00246","title":"There is no Such Thing as Attention","year":2011,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":205,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Psychology; Cognitive psychology; Cognitive science","score_opus":0.03943028908771278,"score_gpt":0.29342933371554913,"score_spread":0.25399904462783635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153628333","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76608175,0.000090731875,0.012409299,0.0010192905,0.012986629,0.00024060259,0.0000054056595,0.00009245179,0.20707382],"genre_scores_gemma":[0.9844076,0.00021254382,0.0025561575,0.009912267,0.000094955016,0.000016553844,0.0000023409098,0.000022354256,0.0027752365],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99894476,0.00011037483,0.00016976353,0.00042694403,0.00009947475,0.00024865917],"domain_scores_gemma":[0.9996031,0.000017223068,0.00006871251,0.00025715173,0.000015896096,0.00003790003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013584773,0.00010172376,0.0001232375,0.00013922523,0.00006401115,0.000013314274,0.00022739617,0.00011713699,0.0004084709],"category_scores_gemma":[0.00007696476,0.000093593466,0.00005141992,0.0002096529,0.00008797018,0.00014273393,0.000030044435,0.00021727949,0.0004304477],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00097010523,0.00072321336,0.21679309,0.00003551702,0.000027005515,0.00035022807,0.0025419127,0.0000016725444,0.31516978,0.0101683745,0.2761711,0.17704801],"study_design_scores_gemma":[0.0045991144,0.0018720089,0.28110558,0.00010046146,0.000038432016,0.00035010962,0.0006994526,0.007360961,0.021975588,0.53899056,0.14156353,0.0013441878],"about_ca_topic_score_codex":0.000029944,"about_ca_topic_score_gemma":0.000002937042,"teacher_disagreement_score":0.5288222,"about_ca_system_score_codex":0.000021032263,"about_ca_system_score_gemma":0.000006855429,"threshold_uncertainty_score":0.5532678},"labels":[],"label_agreement":null},{"id":"W2153922592","doi":"10.3389/fnsys.2013.00043","title":"Saccades during visual exploration align hippocampal 3–8 Hz rhythms in human and non-human primates","year":2013,"lang":"en","type":"article","venue":"Frontiers in Systems Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":136,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Western Hospital; Krembil Foundation; University of Toronto; York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Krembil Foundation; Alfred P. Sloan Foundation","keywords":"Hippocampal formation; Neuroscience; Rhythm; Psychology; Cognitive psychology; Communication; Physics","score_opus":0.02068085631380767,"score_gpt":0.2693555061174569,"score_spread":0.24867464980364923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153922592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995327,0.000038885457,0.0011880201,0.00011525143,0.0021285317,0.0008951508,0.0000035115252,0.0000759313,0.00022774699],"genre_scores_gemma":[0.99906176,0.000041848132,0.000056443383,0.00015621906,0.00008253154,0.00016781702,0.000001763025,0.000025907393,0.0004057146],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99736875,0.00022258465,0.00053135096,0.0009016924,0.00042653008,0.0005490775],"domain_scores_gemma":[0.99935615,0.000047242087,0.00019839665,0.00024784243,0.000026511756,0.00012387321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031211547,0.00024921072,0.00031546436,0.00048024772,0.0004088491,0.000492236,0.00031082614,0.00009258416,0.0000028024617],"category_scores_gemma":[0.00017335388,0.0002361629,0.000033436834,0.00077594875,0.0002940422,0.001786984,0.000138641,0.00025911967,0.000007276766],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000070394076,0.000055237684,0.047239743,0.00007861637,2.9190102e-7,0.00003215333,0.00027384365,0.0007709195,0.95095235,0.00024350904,0.00015186031,0.0001944129],"study_design_scores_gemma":[0.0019856028,0.00063467014,0.55594206,0.0004007606,0.0000073104575,0.00017166765,0.0014069654,0.27539346,0.16015776,0.00257765,0.00018816364,0.0011339363],"about_ca_topic_score_codex":0.00024508184,"about_ca_topic_score_gemma":0.000017634587,"teacher_disagreement_score":0.7907946,"about_ca_system_score_codex":0.00012019489,"about_ca_system_score_gemma":0.000020098989,"threshold_uncertainty_score":0.96304435},"labels":[],"label_agreement":null},{"id":"W2154058446","doi":"10.1073/pnas.0700253104","title":"Ventrolateral prefrontal cortex and tactile memory disambiguation in the human brain","year":2007,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research","keywords":"Prefrontal cortex; Neuroscience; Postcentral gyrus; Inferior parietal lobule; Somatosensory system; Posterior parietal cortex; Working memory; Sensory system; Secondary somatosensory cortex; Psychology; Consumer neuroscience; Parietal lobe; Functional magnetic resonance imaging; Cognition","score_opus":0.04169022652767178,"score_gpt":0.3129689796936891,"score_spread":0.2712787531660173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154058446","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928767,0.000008721849,8.657457e-7,0.0030733987,0.000024159148,0.00017303189,0.0000039029574,0.000004818182,0.0038344015],"genre_scores_gemma":[0.9988927,0.0000026903035,0.000029440325,0.0009186176,0.00004446745,0.00000351454,8.645436e-8,0.0000019394238,0.00010650083],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987441,0.000011055192,0.00021225779,0.00018863492,0.00072469277,0.00011928143],"domain_scores_gemma":[0.99949735,0.00022732462,0.00022174191,0.0000057965794,0.000033089444,0.000014713242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015870968,0.00005789946,0.00006884317,0.000103034865,0.00022274356,0.000033819884,0.00038541912,0.00003689322,0.000004314185],"category_scores_gemma":[0.00047191052,0.000033081342,0.000028949926,0.00042429566,0.0004769151,0.0004308742,0.000059782946,0.00013877761,3.167041e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010971652,0.000028406288,0.0034892317,0.000009575496,5.9561825e-7,1.308711e-8,0.00025999724,0.000011048757,0.96518964,0.030494805,0.00007504698,0.00043068512],"study_design_scores_gemma":[0.00017334775,0.000056956782,0.781477,0.000020981928,0.0000025273555,0.000015043746,0.0001833864,0.0020467038,0.1819086,0.034021713,0.000046840993,0.000046934976],"about_ca_topic_score_codex":0.000011199572,"about_ca_topic_score_gemma":8.209203e-7,"teacher_disagreement_score":0.783281,"about_ca_system_score_codex":0.000021982733,"about_ca_system_score_gemma":0.000006567588,"threshold_uncertainty_score":0.17572135},"labels":[],"label_agreement":null},{"id":"W2154077379","doi":"10.1016/j.visres.2011.02.013","title":"Modeling inhibition of return as short-term depression of early sensory input to the superior colliculus","year":2011,"lang":"en","type":"article","venue":"Vision Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Inhibition of return; Superior colliculus; Cued speech; Psychology; Neuroscience; Cortical spreading depression; Sensory system; Cognitive psychology; Audiology; Perception; Visual attention; Medicine","score_opus":0.1476447348545439,"score_gpt":0.37523991516443567,"score_spread":0.22759518030989176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154077379","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99733233,0.000014131811,0.00035829307,0.00018533731,0.00011870201,0.00049854995,0.000013728354,0.000017838722,0.0014610607],"genre_scores_gemma":[0.9993469,0.000047551926,0.00007436427,0.00006990452,0.00003395361,0.00001973499,0.0000014081232,0.000015511712,0.0003906486],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99777365,0.00038103288,0.00029620776,0.00035354836,0.00092294626,0.0002725986],"domain_scores_gemma":[0.9989608,0.00020668897,0.000035223376,0.00040789225,0.00029037244,0.00009903318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095168647,0.0000879055,0.00013467588,0.00026629548,0.00022170565,0.000034708835,0.00026028667,0.000079158206,0.00007545227],"category_scores_gemma":[0.00060520007,0.000057075384,0.00006149642,0.00065315136,0.00012401221,0.0001579852,0.00031613477,0.0003052614,0.000039052302],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031675675,0.000077679935,0.00094575726,0.000020110518,0.0000011905761,0.00001197343,0.000631022,0.00025292006,0.9926305,0.00027553862,0.00006848273,0.00476806],"study_design_scores_gemma":[0.00015005987,0.00077489123,0.0045413855,0.00012570198,0.0000026154325,0.000009207905,0.00011438612,0.07260588,0.92111677,0.00042397485,0.000059629387,0.00007549388],"about_ca_topic_score_codex":0.0003137577,"about_ca_topic_score_gemma":0.000026701326,"teacher_disagreement_score":0.07235296,"about_ca_system_score_codex":0.000027815484,"about_ca_system_score_gemma":0.000047694357,"threshold_uncertainty_score":0.23274666},"labels":[],"label_agreement":null},{"id":"W2154137473","doi":"10.3389/neuro.11.009.2008","title":"Python for large-scale electrophysiology","year":2008,"lang":"en","type":"article","venue":"Frontiers in Neuroinformatics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Python (programming language); Computer science; Spike sorting; Electrophysiology; Software; Visual cortex; Stimulus (psychology); Visualization; Neuroscience; Artificial intelligence; Programming language; Biology; Psychology; Sorting","score_opus":0.016635262981711557,"score_gpt":0.2276764101205124,"score_spread":0.21104114713880084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154137473","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9112758,0.00001711804,0.083542444,0.00030410654,0.0023764535,0.0005968459,0.000040582538,0.00011943495,0.0017272036],"genre_scores_gemma":[0.96809036,0.00067138125,0.021673271,0.0077410503,0.00016735453,0.00008113869,0.000035445784,0.000057906702,0.001482086],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888223,0.000031335963,0.00031632133,0.00019602878,0.00014201106,0.00043207567],"domain_scores_gemma":[0.9995026,0.00009727511,0.000105429215,0.00021965962,0.000019974636,0.000055056556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000076432916,0.00013456757,0.00020543637,0.00015935964,0.00019244564,0.000016436334,0.0002049827,0.00006634681,0.000003759363],"category_scores_gemma":[0.0002575944,0.00012532882,0.00007802036,0.00028335673,0.000060781775,0.00028327556,0.000044994187,0.00018886378,0.000015387028],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014976361,0.000950529,0.010153931,0.0004578779,0.00002003936,0.00018186193,0.0050921687,0.0091922665,0.5039806,0.010426392,0.44346207,0.014584623],"study_design_scores_gemma":[0.0016379777,0.00065023045,0.0026229534,0.000010670584,0.0000074589707,0.00011419282,0.00013096358,0.88975877,0.032536685,0.0043962165,0.06776949,0.00036441226],"about_ca_topic_score_codex":7.4511746e-7,"about_ca_topic_score_gemma":0.0000015367965,"teacher_disagreement_score":0.8805665,"about_ca_system_score_codex":0.00003868144,"about_ca_system_score_gemma":0.000031709864,"threshold_uncertainty_score":0.5110761},"labels":[],"label_agreement":null},{"id":"W2154230920","doi":"10.1145/1830483.1830502","title":"Evolution of vision capabilities in embodied virtual creatures","year":2010,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Creatures; Embodied cognition; Computer science; Artificial neural network; Artificial intelligence; Process (computing); Human–computer interaction; Natural (archaeology); Biology","score_opus":0.009620961449452547,"score_gpt":0.24624130027786703,"score_spread":0.2366203388284145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154230920","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.975591,0.0000023041262,0.00006409831,0.00015648076,0.00047513808,0.000087383334,0.0000040064933,0.000028945678,0.023590663],"genre_scores_gemma":[0.99869,0.000002519224,0.000052007646,0.00008702943,0.000028959368,0.0000033121444,7.982587e-7,0.0000044194617,0.0011309171],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994145,0.000034199245,0.00013477517,0.00017810137,0.00013464062,0.00010377066],"domain_scores_gemma":[0.99963427,0.00015194486,0.000035006604,0.00013725572,0.000018951057,0.000022589695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010662447,0.00005824158,0.000079083016,0.000095414056,0.000032366406,0.000012542883,0.00008181266,0.000057031964,0.00011604244],"category_scores_gemma":[0.0004225643,0.000044564193,0.000029663675,0.00014225136,0.00010049225,0.00013687446,0.000029532726,0.0001475258,0.0000091322645],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025523912,0.000043062413,0.0015813966,0.0000037258917,1.5255294e-7,6.674871e-7,0.000041258845,0.000045945864,0.8424111,0.15471426,0.000060416118,0.0010725158],"study_design_scores_gemma":[0.0006936932,0.0005943788,0.24898042,0.00001892069,0.0000038404833,0.000014535062,0.00028656662,0.030622415,0.68121344,0.036609676,0.00072715315,0.00023495467],"about_ca_topic_score_codex":0.00020400611,"about_ca_topic_score_gemma":0.0005520656,"teacher_disagreement_score":0.24739902,"about_ca_system_score_codex":0.000018186303,"about_ca_system_score_gemma":0.00001642979,"threshold_uncertainty_score":0.1817275},"labels":[],"label_agreement":null},{"id":"W2154360927","doi":"10.1111/1469-8986.3810133","title":"Neural sources involved in auditory target detection and novelty processing: An event‐related fMRI study","year":2001,"lang":"en","type":"article","venue":"Psychophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":396,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Inferior parietal lobule; Psychology; Functional magnetic resonance imaging; Neuroscience; Middle temporal gyrus; Superior temporal gyrus; Insula; Novelty; Inferior frontal gyrus; Neural correlates of consciousness; Thalamus; Cognition","score_opus":0.022693837409727316,"score_gpt":0.2809711090114812,"score_spread":0.2582772716017539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154360927","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99808925,0.000024648556,0.000059960243,0.0001773425,0.0011305439,0.00034302752,0.0000016836638,0.00009302491,0.000080531594],"genre_scores_gemma":[0.9992209,0.000020772288,0.0000102979575,0.0004107408,0.00017192563,0.00003853555,0.0000039962565,0.000018626035,0.0001041715],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998457,0.00027199934,0.00025820208,0.0006171074,0.000118359465,0.00027728904],"domain_scores_gemma":[0.99953806,0.00006395824,0.00012290686,0.00018134371,0.000022615839,0.00007111184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012345493,0.00016575336,0.00019221583,0.0001557112,0.00017169605,0.000033466556,0.00014108085,0.00010043792,0.00002173021],"category_scores_gemma":[0.00007284535,0.00014629315,0.000029343488,0.00041191175,0.000110032815,0.00028500616,0.000041756422,0.00027751696,0.000011443166],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026735067,0.0005009635,0.010882635,0.0000070114465,0.0000023830235,0.00001554791,0.00035659163,0.0006493039,0.9803358,0.000004075363,0.000010310903,0.0069680843],"study_design_scores_gemma":[0.0031036003,0.0029885557,0.71765536,0.0000130356,0.00001443842,0.0000581045,0.00073344924,0.25925192,0.010005391,0.0052331765,0.00044596277,0.0004970007],"about_ca_topic_score_codex":0.000047553396,"about_ca_topic_score_gemma":0.00011439535,"teacher_disagreement_score":0.97033036,"about_ca_system_score_codex":0.000025078823,"about_ca_system_score_gemma":0.000010729912,"threshold_uncertainty_score":0.59656614},"labels":[],"label_agreement":null},{"id":"W2154576829","doi":"10.1523/jneurosci.2775-07.2008","title":"The Effect of Middle Temporal Spike Phase on Sensory Encoding and Correlates with Behavior during a Motion-Detection Task","year":2008,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Stimulus (psychology); Neuroscience; Sensory system; Perception; Neuron; Psychology; Motion perception; Communication; Cognitive psychology","score_opus":0.030417561404931574,"score_gpt":0.25553166601541577,"score_spread":0.2251141046104842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154576829","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99885297,0.000014604573,0.00014761076,0.00008294333,0.0007026654,0.00016099965,0.0000029218777,0.000011118521,0.000024139372],"genre_scores_gemma":[0.99968904,0.00008941713,0.000007502576,0.000059671354,0.00004462331,0.0000028442419,3.7581124e-8,0.000009042456,0.0000978311],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998712,0.00014615808,0.00028514033,0.00021783683,0.0004601099,0.00017875271],"domain_scores_gemma":[0.9989397,0.00036497356,0.00044319849,0.00012411633,0.000045488552,0.000082501225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028343566,0.000120574376,0.00015749298,0.00013485926,0.0006274027,0.000051521467,0.00016451767,0.00002693482,5.954921e-7],"category_scores_gemma":[0.000519427,0.000067955174,0.000060775455,0.0003250148,0.00038609724,0.00033704698,0.000029451025,0.00029164625,6.1936373e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038125156,0.00005995984,0.0064800377,0.000009244091,5.5659683e-7,0.0002291567,0.000044889835,0.00026300448,0.9912042,0.0000074877394,0.0000016164176,0.0013185953],"study_design_scores_gemma":[0.0014755512,0.006806579,0.059746664,0.000064525666,0.000021953198,0.006474175,0.000018424093,0.0053429375,0.9198848,0.000009860584,0.000045657453,0.00010884674],"about_ca_topic_score_codex":0.000002732057,"about_ca_topic_score_gemma":0.0000016388624,"teacher_disagreement_score":0.07131937,"about_ca_system_score_codex":0.000025755357,"about_ca_system_score_gemma":0.000019242305,"threshold_uncertainty_score":0.48255378},"labels":[],"label_agreement":null},{"id":"W2154761542","doi":"10.1139/y04-061","title":"Basal ganglia neural mechanisms of natural movement sequences","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Physiology and Pharmacology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":110,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institutes of Health; National Institute of Neurological Disorders and Stroke; University of Michigan","keywords":"Basal ganglia; Neuroscience; Context (archaeology); Striatum; Biology; Movement (music); Psychology; Central nervous system; Dopamine","score_opus":0.016721371852169,"score_gpt":0.25769225471374374,"score_spread":0.24097088286157475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154761542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944622,0.00011342614,0.00005427703,0.002455494,0.0027705429,0.00006846682,0.00001553905,0.0000027912506,0.000057297817],"genre_scores_gemma":[0.9905057,0.000032705848,0.000058907593,0.009227706,0.00013693674,0.0000012304761,9.037679e-7,0.000005330532,0.000030611278],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992242,0.000110288594,0.0002304397,0.0001377257,0.00006135263,0.0002359859],"domain_scores_gemma":[0.99940926,0.00008312098,0.00020083447,0.00004256154,0.000060479513,0.00020371909],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010788287,0.00009532952,0.00019581612,0.00014836626,0.00011374758,0.000006092339,0.00016265709,0.00005946713,0.00028972098],"category_scores_gemma":[0.000037678405,0.00007719875,0.00005890067,0.000106851694,0.00029032215,0.00011555683,0.000014216414,0.00026010463,0.0000019824092],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057059115,0.000012831024,0.000035159956,0.000014445825,0.0000126591385,0.00010733025,0.000075170145,0.0007529585,0.991175,0.0072846436,0.00024397623,0.00022878576],"study_design_scores_gemma":[0.00063715765,0.00049588736,0.0010765044,0.0000061594164,0.000020594083,0.00006217308,0.000023765555,0.00037951555,0.8579816,0.13917871,0.000065851505,0.000072046794],"about_ca_topic_score_codex":0.00034175543,"about_ca_topic_score_gemma":0.00043726008,"teacher_disagreement_score":0.13319334,"about_ca_system_score_codex":0.000042943913,"about_ca_system_score_gemma":0.00027286314,"threshold_uncertainty_score":0.31722414},"labels":[],"label_agreement":null},{"id":"W2154947563","doi":"10.1068/p7056","title":"Effects of Band-Pass Spatial Frequency Filtering of Face and Object Images on the Amplitude of N170","year":2012,"lang":"en","type":"article","venue":"Perception","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Spatial frequency; Amplitude; Contrast (vision); Psychology; Face (sociological concept); Communication; Robustness (evolution); Artificial intelligence; Facial recognition system; Cognitive neuroscience of visual object recognition; Object (grammar); Pattern recognition (psychology); Computer vision; Physics; Computer science; Optics; Biology","score_opus":0.019816925752781874,"score_gpt":0.2517757911191869,"score_spread":0.23195886536640503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154947563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975472,0.000012600986,0.001663953,0.00007057503,0.00017496743,0.00016934036,0.000010921695,0.00000840906,0.00034201104],"genre_scores_gemma":[0.9997703,0.000050587485,0.000053934884,0.000042061212,0.00003979326,0.0000061468927,0.0000010755408,0.000005797923,0.00003033616],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994345,0.000086985914,0.0001276453,0.00010883121,0.00014332547,0.0000987355],"domain_scores_gemma":[0.9994966,0.00026293242,0.00009971277,0.00010421193,0.000016786407,0.000019784084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013172883,0.000065745,0.00010126656,0.000038186085,0.000038800626,0.0000067087185,0.000060424023,0.00002777076,0.0000359292],"category_scores_gemma":[0.00019771492,0.000044575656,0.00003536367,0.00006592925,0.0000829486,0.00010785617,0.000023219258,0.00005915043,0.0000031111117],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019922689,0.00004548247,0.0023990325,0.00008857279,0.0000014107613,1.2759212e-7,0.00041461526,0.00001016181,0.9934349,0.00025006974,0.000010520471,0.0033251694],"study_design_scores_gemma":[0.00009867612,0.0001455216,0.4040194,0.000033058914,0.0000074605077,0.0000017661105,0.000030941286,0.00028633475,0.5951963,0.0001398911,0.000004499771,0.000036139274],"about_ca_topic_score_codex":0.00012497771,"about_ca_topic_score_gemma":0.0000037283676,"teacher_disagreement_score":0.40162036,"about_ca_system_score_codex":0.000011457824,"about_ca_system_score_gemma":0.0000034423676,"threshold_uncertainty_score":0.18177424},"labels":[],"label_agreement":null},{"id":"W2155119650","doi":"10.1097/wnr.0b013e3282f0b559","title":"Stimulus intensity affects the latency but not the amplitude of the N2pc","year":2007,"lang":"en","type":"article","venue":"Neuroreport","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Stimulus (psychology); Neuroscience; Psychology; Audiology; Medicine; Cognitive psychology","score_opus":0.03394663516719255,"score_gpt":0.26359370063746274,"score_spread":0.2296470654702702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155119650","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898927,0.000004694576,0.00014261535,0.0034257083,0.0020142787,0.0004179638,0.0000049662203,0.000049855906,0.004047218],"genre_scores_gemma":[0.9921766,0.00000701506,0.000004969786,0.0065650367,0.000100121055,0.000005100873,4.7087454e-7,0.000015872993,0.0011248213],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984395,0.00011300573,0.00030335475,0.00035153027,0.00050896645,0.00028363973],"domain_scores_gemma":[0.9981113,0.0006507851,0.00029754342,0.0008260299,0.0000699561,0.000044407265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007297984,0.00014184021,0.000140844,0.000027131426,0.00037067104,0.00004296455,0.0005278123,0.000045687277,0.00001564581],"category_scores_gemma":[0.001438393,0.000060286977,0.000150361,0.000375478,0.00033354433,0.00007453131,0.00026021738,0.00039108557,0.000011914622],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009462747,0.000069893154,0.013423456,0.000010102953,0.0000049980495,0.0001559181,0.00012497068,0.000117236996,0.97942173,0.002942725,0.0010151654,0.0026191983],"study_design_scores_gemma":[0.00011828392,0.00009200319,0.6129685,0.000008139769,0.000020184454,0.00043730356,0.000023640652,0.0008857674,0.38163352,0.0007861662,0.0029324696,0.000094007075],"about_ca_topic_score_codex":0.000080417274,"about_ca_topic_score_gemma":0.00004254667,"teacher_disagreement_score":0.59954506,"about_ca_system_score_codex":0.000017812874,"about_ca_system_score_gemma":0.000040190418,"threshold_uncertainty_score":0.28509393},"labels":[],"label_agreement":null},{"id":"W2155197243","doi":"10.3389/fpsyg.2014.00252","title":"Switching between global and local levels: the level repetition effect and its hemispheric asymmetry","year":2014,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université de Montréal","funders":"Agence Nationale de la Recherche","keywords":"Psychology; Asymmetry; Repetition (rhetorical device); Cognitive psychology; Physics; Linguistics","score_opus":0.026780282092231395,"score_gpt":0.29566400682462707,"score_spread":0.2688837247323957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155197243","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8002604,0.00019063498,0.19478592,0.0012431865,0.0014180942,0.00017036927,0.000011613004,0.000030306666,0.0018894327],"genre_scores_gemma":[0.9976043,0.000056583303,0.0004792085,0.001704012,0.000099663645,0.000008716712,0.0000015560497,0.000009137849,0.00003682576],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99872184,0.00033336246,0.0001625461,0.0004508209,0.00010374212,0.00022769024],"domain_scores_gemma":[0.9994968,0.000209787,0.00006595318,0.00016815901,0.0000075656612,0.000051738058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046154304,0.00012615364,0.00018419111,0.00004009011,0.00012273129,0.000030974265,0.00013651572,0.0001156181,0.000003684877],"category_scores_gemma":[0.00030497627,0.0000932073,0.00002365775,0.00023821826,0.00012391814,0.00009291747,0.000058722002,0.00023002263,0.000004060306],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010139127,0.000020990392,0.10732951,0.000030416786,0.000007846969,0.000008890415,0.000043719006,0.000008378943,0.01572986,0.0014738488,0.002105239,0.8731399],"study_design_scores_gemma":[0.0028558434,0.00093800476,0.88715094,0.00006392897,0.000041673153,0.00028281417,0.00006551619,0.03405971,0.004497427,0.060933873,0.008619666,0.00049059186],"about_ca_topic_score_codex":0.000008904599,"about_ca_topic_score_gemma":0.0000056001422,"teacher_disagreement_score":0.8726493,"about_ca_system_score_codex":0.000029857842,"about_ca_system_score_gemma":0.0000045582196,"threshold_uncertainty_score":0.38008836},"labels":[],"label_agreement":null},{"id":"W2155319223","doi":"10.1152/jn.00653.2005","title":"Dendritic Na<sup>+</sup> Current Inactivation Can Increase Cell Excitability By Delaying a Somatic Depolarizing Afterpotential","year":2005,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hotchkiss Brain Institute; Ontario Brain Institute; University of Calgary","funders":"","keywords":"Dendritic spike; Depolarization; Soma; Excitatory postsynaptic potential; Neuroscience; Electrophysiology; Chemistry; Biophysics; Membrane potential; Somatic cell; Biology; Inhibitory postsynaptic potential","score_opus":0.015708666154420882,"score_gpt":0.24309918350105658,"score_spread":0.2273905173466357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155319223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99747723,0.000039299783,0.0012359195,0.0004693816,0.000570184,0.0001431417,0.000012781768,0.000023067962,0.000029015826],"genre_scores_gemma":[0.9983998,0.00006898673,0.00017407646,0.0009286599,0.0003811473,0.000004328726,0.0000031656396,0.000025329242,0.0000145067415],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978148,0.00053998287,0.0006506998,0.00034040422,0.00030564933,0.0003485],"domain_scores_gemma":[0.99863416,0.0004003402,0.000487621,0.0002064303,0.00010414422,0.00016727697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009908876,0.00020600026,0.0003237087,0.00017743139,0.00020618057,0.000060211405,0.00027670455,0.00007047241,0.000025552905],"category_scores_gemma":[0.00065532746,0.00017895369,0.00017066482,0.00023394986,0.00009699628,0.00044535185,0.00009371599,0.0006281077,0.000013791453],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015870374,0.00028552386,0.00013931526,0.000045565903,0.0000037708799,0.000043606142,0.000085235544,0.003322969,0.9892634,0.000022863822,0.000035158093,0.006593886],"study_design_scores_gemma":[0.005517544,0.0042577097,0.045751397,0.0002769964,0.00028097254,0.0025651562,0.00022785406,0.5474905,0.3852546,0.0037220807,0.0032457912,0.0014094369],"about_ca_topic_score_codex":0.000025592703,"about_ca_topic_score_gemma":0.000001382836,"teacher_disagreement_score":0.6040088,"about_ca_system_score_codex":0.0001390554,"about_ca_system_score_gemma":0.00008108689,"threshold_uncertainty_score":0.729752},"labels":[],"label_agreement":null},{"id":"W2155549236","doi":"10.1113/jphysiol.2001.013125","title":"Development of Ca<sup>2+</sup> hotspots between <i>Lymnaea</i> neurons during synaptogenesis","year":2002,"lang":"en","type":"article","venue":"The Journal of Physiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Calgary","funders":"Medical Research Council","keywords":"Soma; Neuron; Postsynaptic potential; Neuroscience; Patch clamp; Neurotransmission; Biophysics; Synaptogenesis; Electrophysiology; Biology","score_opus":0.03756350995598836,"score_gpt":0.23872095512762304,"score_spread":0.20115744517163467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155549236","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991203,0.00004107908,0.000042727286,0.00042719883,0.00017003283,0.00007661052,0.0000062193863,0.0000088286215,0.00010699074],"genre_scores_gemma":[0.999173,0.00013166595,0.00010709275,0.00028824137,0.00017508573,0.0000011092527,3.4072738e-7,0.0000141712035,0.00010932641],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986576,0.00025995227,0.00048714894,0.00013835255,0.00021556541,0.00024136869],"domain_scores_gemma":[0.9989078,0.00035536377,0.00042603514,0.00019023816,0.0000560823,0.00006445507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021486229,0.00013185732,0.00029308783,0.00010490896,0.00019466288,0.0000066213133,0.0004159277,0.000050420855,0.00011466337],"category_scores_gemma":[0.00012602378,0.00008401915,0.00010064678,0.00021186142,0.0001257145,0.00010127776,0.00010474331,0.00023155061,0.000032462005],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005866802,0.000050424034,0.00009175815,0.000016747153,0.000018656943,0.0000051855336,0.00059071626,0.0038150786,0.99369824,0.000020223197,0.00010053982,0.001533736],"study_design_scores_gemma":[0.0009527794,0.00049224985,0.08289724,0.00005705185,0.00009872343,0.00030914546,0.00016454211,0.005896422,0.90695256,0.0004671051,0.0014461322,0.00026603395],"about_ca_topic_score_codex":0.000004631488,"about_ca_topic_score_gemma":9.55007e-7,"teacher_disagreement_score":0.086745694,"about_ca_system_score_codex":0.00003063114,"about_ca_system_score_gemma":0.000024581515,"threshold_uncertainty_score":0.34262013},"labels":[],"label_agreement":null},{"id":"W2155815687","doi":"10.1023/a:1012837415096","title":"Turning On and Off with Excitation: The Role of Spike-Timing Asynchrony and Synchrony in Sustained Neural Activity","year":2001,"lang":"en","type":"article","venue":"Journal of Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":178,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Neuroscience; Excitatory postsynaptic potential; Efferent; Stimulus (psychology); Working memory; Psychology; Computer science; Inhibitory postsynaptic potential; Cognition; Afferent; Cognitive psychology","score_opus":0.016918622930818472,"score_gpt":0.25495051554215187,"score_spread":0.2380318926113334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155815687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964599,0.000039583647,0.0018013547,0.0013649154,0.00012103675,0.00010391136,0.0000013365899,0.0000048620695,0.000103097955],"genre_scores_gemma":[0.99925464,0.00004932311,0.00015670982,0.00048501074,0.000035972436,0.0000010396077,1.05600456e-7,0.0000063569173,0.0000108322],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987499,0.00013704841,0.00024783722,0.00020854163,0.00050374627,0.00015292813],"domain_scores_gemma":[0.9985691,0.0008538751,0.0003575302,0.00006434838,0.00009426454,0.000060903592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030731948,0.000104572675,0.00014774612,0.00018322679,0.00017485289,0.000084404266,0.00014930347,0.00001935245,0.0000025148304],"category_scores_gemma":[0.00045963735,0.000068076195,0.00002557058,0.000466167,0.00036427847,0.00049251254,0.000043518594,0.00024330498,1.3194256e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007098866,0.00019528718,0.026177935,0.000029021816,0.000002476286,0.00016164481,0.00047131637,0.46781087,0.45270094,0.008107674,0.0000072887487,0.043625653],"study_design_scores_gemma":[0.0005343053,0.0008583128,0.41745263,0.00005201479,0.0000046035566,0.00096907775,0.00010949107,0.57330394,0.00232397,0.0042605223,0.000046409594,0.00008471229],"about_ca_topic_score_codex":0.000003792897,"about_ca_topic_score_gemma":0.0000029960083,"teacher_disagreement_score":0.450377,"about_ca_system_score_codex":0.000028609074,"about_ca_system_score_gemma":0.00007175869,"threshold_uncertainty_score":0.27760667},"labels":[],"label_agreement":null},{"id":"W2155860304","doi":"10.1016/s0306-4522(02)00168-9","title":"Dynamics and diversity in interneurons: a model exploration with slowly inactivating potassium currents","year":2002,"lang":"en","type":"article","venue":"Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Rehabilitation Institute; Toronto Western Hospital; University Health Network","funders":"","keywords":"Bursting; Tonic (physiology); Potassium channel; Conductance; Chemistry; Inhibitory postsynaptic potential; Neuroscience; Ion channel; Potassium; Population; Rhythm; Biophysics; Physics; Biology; Receptor","score_opus":0.08797940386074032,"score_gpt":0.25638595452630064,"score_spread":0.16840655066556032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155860304","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9870728,0.0000027960666,0.010864913,0.0007665791,0.00024827817,0.00018370822,0.000008998681,0.000059302394,0.0007926236],"genre_scores_gemma":[0.9985594,0.000051892715,0.00009657863,0.0009439267,0.000009143961,0.000008811783,5.797417e-7,0.000010387511,0.00031925776],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985577,0.00006782974,0.00014406581,0.00061426644,0.00034129308,0.0002748741],"domain_scores_gemma":[0.99956775,0.00007426094,0.00009133194,0.00016866789,0.000019133266,0.00007887269],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008469655,0.00014205718,0.00010754914,0.00015198885,0.00033917517,0.00011514798,0.0002471253,0.000030348177,0.0000030594585],"category_scores_gemma":[0.00033732576,0.00012387997,0.000016880436,0.0005793694,0.00018927005,0.0012388091,0.00035255772,0.00024572897,0.0000037346051],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025499254,0.0011770094,0.2222176,0.00010831353,0.0000013365809,0.0003201921,0.004121445,0.051395018,0.6498268,0.024034293,0.00017647514,0.04636647],"study_design_scores_gemma":[0.00028382533,0.00016482467,0.0065390407,0.000021722533,0.0000019192535,0.000027642362,0.00003278625,0.9903084,0.0019177014,0.00055830035,0.0000074447944,0.00013640846],"about_ca_topic_score_codex":0.000020711272,"about_ca_topic_score_gemma":0.000041612795,"teacher_disagreement_score":0.93891335,"about_ca_system_score_codex":0.000070969974,"about_ca_system_score_gemma":0.000009109288,"threshold_uncertainty_score":0.50516784},"labels":[],"label_agreement":null},{"id":"W2155891870","doi":"10.1523/jneurosci.4249-08.2009","title":"<i>In Vivo</i>Voltage-Sensitive Dye Imaging in Adult Mice Reveals That Somatosensory Maps Lost to Stroke Are Replaced over Weeks by New Structural and Functional Circuits with Prolonged Modes of Activation within Both the Peri-Infarct Zone and Distant Sites","year":2009,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":324,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Michael Smith Health Research BC; Canadian Stroke Network","keywords":"Forelimb; Somatosensory system; Neuroscience; Cortex (anatomy); Motor cortex; Sensory system; Stimulation; Depolarization; Sensory stimulation therapy; Anatomy; Sensory cortex; Barrel cortex; Cerebral cortex; Biology; Psychology; Biophysics","score_opus":0.01579839668312333,"score_gpt":0.232765747575619,"score_spread":0.21696735089249566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155891870","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99579304,0.000014869171,0.0006487023,0.0030730471,0.00012328751,0.00027943903,0.000041725856,0.0000058096675,0.000020073796],"genre_scores_gemma":[0.99639237,0.000021773607,0.00006351071,0.003233599,0.000032223197,0.0000010529069,3.8442155e-7,0.000010066545,0.00024505006],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982472,0.00013997914,0.0003769897,0.00041659529,0.0005771147,0.0002421072],"domain_scores_gemma":[0.99885064,0.00023506206,0.0005761434,0.00013308894,0.00008703827,0.00011802469],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029617417,0.00018306328,0.00025191717,0.00020160971,0.00014543667,0.00013444503,0.00014132948,0.000031346237,0.0000020228936],"category_scores_gemma":[0.00053708866,0.0001212947,0.00003139692,0.0004186297,0.0002091636,0.0009920422,0.00004110033,0.00032149232,9.558889e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000495978,0.000030375282,0.019541582,0.000010183842,8.5788815e-7,0.000051513634,0.00042824805,0.0009268703,0.9780683,0.00011445846,0.00016063571,0.00017099922],"study_design_scores_gemma":[0.001279444,0.0005853299,0.48451683,0.00022062029,0.000011356372,0.0008364082,0.00054086844,0.017560543,0.49389297,0.00032485116,0.000017252834,0.00021350606],"about_ca_topic_score_codex":0.000021345924,"about_ca_topic_score_gemma":0.000025517344,"teacher_disagreement_score":0.48417532,"about_ca_system_score_codex":0.00005620989,"about_ca_system_score_gemma":0.00006122621,"threshold_uncertainty_score":0.49462542},"labels":[],"label_agreement":null},{"id":"W2156081063","doi":"10.1016/j.neulet.2010.09.067","title":"Intrinsically organized network for word processing during the resting state","year":2010,"lang":"en","type":"article","venue":"Neuroscience Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Key Research and Development Program of China; National Institutes of Health; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Supramarginal gyrus; Resting state fMRI; Inferior parietal lobule; Fusiform gyrus; Word processing; Neuroscience; Visual processing; Angular gyrus; Psychology; Superior parietal lobule; Task-positive network; Middle frontal gyrus; Semantic memory; Functional magnetic resonance imaging; Cognitive psychology; Computer science; Default mode network; Speech recognition; Cognition","score_opus":0.016408687126650435,"score_gpt":0.23998657212092184,"score_spread":0.2235778849942714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156081063","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98201656,0.0000011216449,0.0031896625,0.0119352555,0.002184384,0.00045076368,0.0000041630415,0.00016913231,0.000048964383],"genre_scores_gemma":[0.974891,0.0000026931627,0.0005782533,0.02379884,0.00042822261,0.000035759676,3.832876e-7,0.000030191564,0.00023467428],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980514,0.00006967028,0.00024018204,0.0006493664,0.0003575764,0.0006317926],"domain_scores_gemma":[0.9990076,0.00038625643,0.00016656837,0.0003106791,0.00003713244,0.00009177102],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00035853928,0.00016779383,0.0001228981,0.00005533743,0.0013386915,0.00044119247,0.00062617956,0.000031491345,0.000004585263],"category_scores_gemma":[0.0019590307,0.000117033116,0.00005648994,0.0008644689,0.0003902036,0.0003809046,0.00014032175,0.0005092566,0.0000063251864],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034900124,0.000010952918,0.00086284353,0.000011462145,1.5723596e-7,0.00001333365,0.00005112212,0.0014447597,0.99249804,0.00014593337,0.00025224467,0.0046742354],"study_design_scores_gemma":[0.0020177604,0.00024317997,0.14057228,0.00008131551,0.000024817622,0.0004803998,0.00002413004,0.16212967,0.66105676,0.0023173902,0.029864874,0.0011874286],"about_ca_topic_score_codex":0.0000043116947,"about_ca_topic_score_gemma":0.000015489908,"teacher_disagreement_score":0.33144128,"about_ca_system_score_codex":0.000018888959,"about_ca_system_score_gemma":0.000038507962,"threshold_uncertainty_score":0.99996144},"labels":[],"label_agreement":null},{"id":"W2156095599","doi":"10.1073/pnas.0304445101","title":"Distinct forms of cholinergic modulation in parallel thalamic sensory pathways","year":2003,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Ottawa","funders":"","keywords":"Neuroscience; Muscarine; Thalamus; Neurotransmission; Acetylcholine; Hyperpolarization (physics); Cholinergic; Depolarization; Biology; Chemistry; Muscarinic acetylcholine receptor; Biophysics; Receptor; Endocrinology; Biochemistry","score_opus":0.06877991329528166,"score_gpt":0.2899398504295446,"score_spread":0.22115993713426296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156095599","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905378,0.000009742494,0.0000033486172,0.000379892,0.000025589386,0.00014697506,0.000010246828,0.000006377915,0.008879996],"genre_scores_gemma":[0.9995491,0.000016188022,0.00022075223,0.00010998489,0.0000133454305,0.0000049095543,8.3973624e-8,0.0000031223703,0.00008253419],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984963,0.000012080398,0.00034252822,0.00022880544,0.0007915907,0.00012872214],"domain_scores_gemma":[0.9993141,0.00014176354,0.00042867055,0.000008266418,0.00008962181,0.000017550326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082859327,0.00007704601,0.00012582316,0.00017004844,0.000093476614,0.000010777087,0.0003496081,0.000054172207,0.000005251812],"category_scores_gemma":[0.0012308594,0.000049391074,0.000059218793,0.0008079132,0.00043384207,0.00041285806,0.000046006975,0.00012217078,5.2218894e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007470266,0.000034982804,0.008513372,0.00002319455,6.021837e-7,4.7890403e-9,0.00004191601,0.0016811411,0.6972652,0.292295,0.0000058925725,0.0001312103],"study_design_scores_gemma":[0.00021060272,0.00004053472,0.18715057,0.000040979572,0.000002276929,0.000008118304,0.000050745868,0.032073505,0.49974486,0.28059837,0.00001166128,0.000067786204],"about_ca_topic_score_codex":0.0000026121322,"about_ca_topic_score_gemma":1.3086022e-7,"teacher_disagreement_score":0.19752038,"about_ca_system_score_codex":0.000028137345,"about_ca_system_score_gemma":0.00002135498,"threshold_uncertainty_score":0.20141095},"labels":[],"label_agreement":null},{"id":"W2156122968","doi":"10.1002/cne.21024","title":"Distribution, morphology, and synaptic targets of corticothalamic terminals in the cat lateral posterior-pulvinar complex that originate from the posteromedial lateral suprasylvian cortex","year":2006,"lang":"en","type":"article","venue":"The Journal of Comparative Neurology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"National Institute of Neurological Disorders and Stroke; University of Louisville","keywords":"GABAergic; Biotinylated dextran amine; Biology; Neuroscience; Cortex (anatomy); Nucleus; Thalamus; Synaptic vesicle; Anatomy; Vesicle; Inhibitory postsynaptic potential","score_opus":0.033730354794844354,"score_gpt":0.2777673457637418,"score_spread":0.24403699096889744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156122968","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895872,0.00006694259,0.000028064467,0.009213427,0.0006641406,0.00029478228,0.00011099574,0.0000059687477,0.000028485329],"genre_scores_gemma":[0.9975022,0.00004001139,0.000004989989,0.00229026,0.00011319163,0.0000031428801,0.000021375363,0.000009507882,0.000015291593],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99680734,0.0017982614,0.0006061964,0.00020727905,0.00027109668,0.00030981423],"domain_scores_gemma":[0.9970724,0.001883843,0.0006767858,0.00024596413,0.00008398392,0.00003703174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046011194,0.00021480772,0.0004615936,0.00006785271,0.0001931201,0.000052716754,0.00062115665,0.00006501874,0.000022198246],"category_scores_gemma":[0.000058226855,0.00010511241,0.000080199934,0.0001801005,0.0009413576,0.00018000748,0.00010996714,0.00049640646,0.000004362592],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018355,0.00017687379,0.08735452,0.000006575996,0.000027121752,0.00032578237,0.0016441556,0.00020197565,0.90657663,0.0005471087,0.0012436567,0.00006007802],"study_design_scores_gemma":[0.00090527505,0.0014124772,0.9840405,0.000012230638,0.00005854937,0.003280163,0.000061364975,0.0017935465,0.00444458,0.0035507213,0.00033892028,0.0001016784],"about_ca_topic_score_codex":0.00021957688,"about_ca_topic_score_gemma":0.00025495628,"teacher_disagreement_score":0.9021321,"about_ca_system_score_codex":0.000020350433,"about_ca_system_score_gemma":0.000031171516,"threshold_uncertainty_score":0.42863598},"labels":[],"label_agreement":null},{"id":"W2156147195","doi":"10.1162/jocn.2007.19.8.1275","title":"Neural Substrates of Dynamic Object Occlusion","year":2007,"lang":"en","type":"article","venue":"Journal of Cognitive Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institutes of Health; National Eye Institute; Beatrice and Samuel A. Seaver Foundation","keywords":"Object (grammar); Psychology; Perception; Functional magnetic resonance imaging; Representation (politics); Cognition; Visibility; Cognitive psychology; Occlusion; Phenomenon; Sight; Cognitive science; Cognitive neuroscience of visual object recognition; Tracking (education); Neuroscience; Communication; Computer vision; Artificial intelligence; Computer science; Medicine","score_opus":0.025686682021904595,"score_gpt":0.30001068240875767,"score_spread":0.27432400038685306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156147195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941023,0.000032176475,0.00310552,0.00016179297,0.0015743528,0.00013036765,0.000011886727,0.000014683763,0.00086692005],"genre_scores_gemma":[0.9986877,0.000079308506,0.000046405978,0.001007375,0.00006000406,3.0041332e-7,3.1124887e-7,0.000012875402,0.000105709594],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99779934,0.00012555363,0.0006431095,0.00029648264,0.00078650203,0.00034898796],"domain_scores_gemma":[0.99748725,0.0011065385,0.0008014479,0.0001086331,0.0003410898,0.00015504047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008321977,0.00016127645,0.0002545284,0.00036109932,0.00017469034,0.000053091604,0.00039379633,0.000048608727,0.000014876253],"category_scores_gemma":[0.003475603,0.00012611767,0.00016285374,0.0009083238,0.00045154296,0.000620292,0.000086246,0.0003652801,0.0000036409115],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022811147,0.00012344432,0.0012504519,0.000008289707,8.0625813e-7,0.00029286716,0.000079441976,0.00004775814,0.9894174,0.00013851767,0.000009222154,0.008403702],"study_design_scores_gemma":[0.00073619455,0.0016562471,0.18831179,0.00011717025,0.000024010147,0.0016506935,0.00015089427,0.007114774,0.79937524,0.00062539545,0.000051309562,0.00018632457],"about_ca_topic_score_codex":0.0000024431044,"about_ca_topic_score_gemma":0.0000052107853,"teacher_disagreement_score":0.19004218,"about_ca_system_score_codex":0.000032424334,"about_ca_system_score_gemma":0.00008499735,"threshold_uncertainty_score":0.51429296},"labels":[],"label_agreement":null},{"id":"W2156195778","doi":"10.3791/51453","title":"Juxtacellular Monitoring and Localization of Single Neurons within Sub-cortical Brain Structures of Alert, Head-restrained Rats","year":2015,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Institute of Neurological Disorders and Stroke; Canadian Institutes of Health Research","keywords":"Neuroscience; Neurophysiology; Electrophysiology; Somatosensory system; Premovement neuronal activity; Neuron; Computer science; Multielectrode array; Brain activity and meditation; Thalamus; Electroencephalography; Psychology; Microelectrode; Chemistry","score_opus":0.0771758168901839,"score_gpt":0.3940468342427329,"score_spread":0.316871017352549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156195778","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99607944,0.00017279958,0.002693297,0.00008139244,0.00080396904,0.000121882375,0.0000039613237,0.00000931476,0.00003393507],"genre_scores_gemma":[0.99927366,0.000015221029,0.000477936,0.00009128456,0.000088457586,0.0000010815006,9.752133e-7,0.000019764944,0.00003160678],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981305,0.0002736921,0.0007040931,0.00017743414,0.00055430474,0.00015998477],"domain_scores_gemma":[0.9987371,0.00014834311,0.00065727945,0.00012396213,0.00015472155,0.0001786216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030231787,0.00014468496,0.00033261007,0.00015816606,0.000055857057,0.00003486726,0.00013663461,0.000066593624,0.000006720455],"category_scores_gemma":[0.0008746475,0.00012019522,0.000073450545,0.0002018686,0.00014517276,0.00025643033,0.000052481973,0.00014571592,3.6025855e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043676572,0.00021139033,0.0011286278,0.000022984761,0.000012655451,0.000033288477,0.0008773007,0.0006356889,0.9960048,0.00040259474,0.000080956765,0.00015293522],"study_design_scores_gemma":[0.0015739333,0.0010809537,0.0006930511,0.000071706316,0.000017292285,0.000094390896,0.0002736478,0.0044482737,0.99107546,0.0005104796,0.00006396157,0.0000968599],"about_ca_topic_score_codex":0.0000105949,"about_ca_topic_score_gemma":4.9203487e-7,"teacher_disagreement_score":0.0049293614,"about_ca_system_score_codex":0.00004311996,"about_ca_system_score_gemma":0.000066476874,"threshold_uncertainty_score":0.49014187},"labels":[],"label_agreement":null},{"id":"W2156345866","doi":"10.1186/1471-2202-8-s2-s3","title":"Controlling for spatial variability in single site recordings in an in vitro hippocampal preparation with a spontaneous rhythm","year":2007,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Western Hospital; University of Toronto","funders":"","keywords":"Rhythm; Hippocampal formation; SIGNAL (programming language); Variance (accounting); Hippocampus; Set (abstract data type); Computer science; Neuroscience; Statistics; Mathematics; Biology; Physics; Acoustics","score_opus":0.03048800380903417,"score_gpt":0.273723864672361,"score_spread":0.24323586086332682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156345866","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9404623,9.5161255e-7,0.057920586,0.00004633416,0.0004527765,0.0009892894,0.0000116810215,0.000042748954,0.0000733201],"genre_scores_gemma":[0.99830705,9.628639e-7,0.0010848732,0.00046291086,0.000053165182,0.000048340684,0.00000305908,0.00001608163,0.000023557235],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99747777,0.00024961532,0.0004486083,0.0009640469,0.0003052748,0.00055467145],"domain_scores_gemma":[0.9984565,0.0010080438,0.00015090291,0.00025844877,0.000034459183,0.000091696165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017690096,0.00017759095,0.00023135179,0.00028383842,0.00010437348,0.00012035909,0.00020204128,0.00006596559,0.0000017676398],"category_scores_gemma":[0.0021453795,0.00016435552,0.00003496772,0.00091865833,0.0001323084,0.00061436195,0.000037983373,0.00020541671,0.000001156609],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003295748,0.00026058833,0.012401732,0.000013970446,4.627486e-8,0.00019942067,0.0001668143,0.005598745,0.97477084,0.00011438429,2.3208044e-7,0.0031774682],"study_design_scores_gemma":[0.002015503,0.001325555,0.054951906,0.00003416748,0.0000026099692,0.0003578393,0.00002783278,0.75780004,0.18238954,0.00071576354,0.000056960096,0.00032225272],"about_ca_topic_score_codex":0.00020803958,"about_ca_topic_score_gemma":0.009665585,"teacher_disagreement_score":0.7923813,"about_ca_system_score_codex":0.0001992205,"about_ca_system_score_gemma":0.00008495413,"threshold_uncertainty_score":0.67022234},"labels":[],"label_agreement":null},{"id":"W2156423910","doi":"10.1186/1471-2202-7-72","title":"Neuron participation in a synchrony-encoding assembly","year":2006,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Synchronizing; Stimulus (psychology); Synchronization (alternating current); Excitatory postsynaptic potential; Neuroscience; Encoding (memory); Computer science; Perception; Neuron; Biological system; Biology; Psychology; Inhibitory postsynaptic potential; Cognitive psychology; Telecommunications","score_opus":0.05132340284095085,"score_gpt":0.298347099988679,"score_spread":0.24702369714772812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156423910","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99158067,0.0000054538395,0.0028963746,0.00023224049,0.0009907795,0.00025031448,0.000003447351,0.00012951808,0.003911181],"genre_scores_gemma":[0.99815553,0.000007097393,0.00007175154,0.0010178012,0.00007986337,0.00003292226,9.154648e-7,0.000016520484,0.000617604],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9977929,0.00019398675,0.0003229326,0.00075277686,0.00043558268,0.00050181855],"domain_scores_gemma":[0.9992499,0.0002670847,0.00011916902,0.00027559712,0.000017229431,0.00007105406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002501526,0.00016242331,0.00013462409,0.00019973933,0.00022078508,0.00017480527,0.00032853565,0.00004161403,0.000009543591],"category_scores_gemma":[0.0009113675,0.00015485572,0.000051736028,0.0010949181,0.0001402964,0.0006186646,0.00009448462,0.00018338597,0.000041927888],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012823003,0.00011306323,0.013273562,0.000008916596,2.316713e-8,0.000035251916,0.000010654353,0.0063652648,0.97395205,0.005656481,0.00006621203,0.0005056899],"study_design_scores_gemma":[0.00042749048,0.00018012336,0.50330347,0.00002153747,0.000003369049,0.00004540554,0.000005762379,0.3165901,0.17664218,0.0012524043,0.0012206808,0.00030748715],"about_ca_topic_score_codex":0.000085103384,"about_ca_topic_score_gemma":0.00016386456,"teacher_disagreement_score":0.7973099,"about_ca_system_score_codex":0.00006090595,"about_ca_system_score_gemma":0.00005407362,"threshold_uncertainty_score":0.6314833},"labels":[],"label_agreement":null},{"id":"W2156684940","doi":"10.1109/cvprw.2008.4563091","title":"Visual cortex on the GPU: Biologically inspired classifier and feature descriptor for rapid recognition","year":2008,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; University of Ottawa","funders":"","keywords":"Computer science; Artificial intelligence; Speedup; Pattern recognition (psychology); Feature extraction; Classifier (UML); Cognitive neuroscience of visual object recognition; Graphics processing unit; Computation; Computer vision; Algorithm; Parallel computing","score_opus":0.10521652354981245,"score_gpt":0.26482260668046825,"score_spread":0.1596060831306558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156684940","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991585,0.000006979457,0.0003780004,0.003718888,0.00035244992,0.00044992342,0.000024908304,0.00007417405,0.0034096695],"genre_scores_gemma":[0.9863128,0.00011120372,0.00014496896,0.010527079,0.00009220299,0.000045094275,0.000012769598,0.000008890366,0.0027449874],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99927056,0.00006948724,0.000095292846,0.00030630166,0.00009956119,0.00015880352],"domain_scores_gemma":[0.9993836,0.00040534936,0.000047094567,0.00008764326,0.000032521733,0.000043749307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009220665,0.00010488867,0.000087814224,0.000032365355,0.00035293712,0.000037432663,0.00007247045,0.00008553447,0.00008611882],"category_scores_gemma":[0.0004325759,0.000055037137,0.000048461054,0.00011008368,0.0001313536,0.000077537195,0.00002249279,0.00012190099,0.00002350115],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002467836,0.00007899821,0.000114751594,0.0000039362467,0.0000027733151,0.000005217853,0.000023129187,3.197337e-7,0.95870614,0.0027051417,0.0108668385,0.027245995],"study_design_scores_gemma":[0.0049008173,0.0129271615,0.16129364,0.00008489005,0.000060562998,0.0005050868,0.00030477365,0.053935558,0.5898028,0.01768486,0.1569134,0.0015864318],"about_ca_topic_score_codex":0.0000019273855,"about_ca_topic_score_gemma":0.0000032204882,"teacher_disagreement_score":0.36890328,"about_ca_system_score_codex":0.000012658639,"about_ca_system_score_gemma":0.000011083135,"threshold_uncertainty_score":0.27145427},"labels":[],"label_agreement":null},{"id":"W2156901734","doi":"10.3389/fnhum.2014.00621","title":"A theory of power laws in human reaction times: insights from an information-processing approach","year":2014,"lang":"en","type":"article","venue":"Frontiers in Human Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Hum; Information processing; Cognition; Law; Power (physics); Volume (thermodynamics); Neuroscience; Cognitive science; Front (military); Psychology; Political science; History; Engineering; Physics","score_opus":0.018855119927597003,"score_gpt":0.24735355815211166,"score_spread":0.22849843822451466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156901734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95639825,0.000008941869,0.03445024,0.00002300522,0.00078055874,0.00024950548,0.000006726077,0.000061057406,0.008021708],"genre_scores_gemma":[0.99858814,0.0000037755867,0.00042432614,0.00080848753,0.000027975022,0.000016609103,0.00001218632,0.00001392918,0.00010456601],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99789655,0.00033717506,0.0005004359,0.0005552489,0.00042414918,0.0002864354],"domain_scores_gemma":[0.9991436,0.000060557635,0.00029313838,0.00039289732,0.000032425593,0.00007737304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039916183,0.00018448947,0.00024818917,0.0005594673,0.0002809257,0.00013837425,0.00056539226,0.00008711141,0.000005534237],"category_scores_gemma":[0.00034945132,0.0001727039,0.000041732575,0.0008106836,0.0003921982,0.0023790651,0.000085079606,0.00031382803,0.0000010179554],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053283864,0.0002675742,0.003371072,0.000029150586,4.290481e-7,0.0000037536156,0.0019725931,0.0023739955,0.95952946,0.027940478,0.00010797539,0.0043502096],"study_design_scores_gemma":[0.0024266893,0.0010899698,0.17567888,0.00018989349,0.000015875421,0.000015987926,0.0015315688,0.56587464,0.08310743,0.16576406,0.0031487148,0.0011562706],"about_ca_topic_score_codex":0.0000601741,"about_ca_topic_score_gemma":0.00001456311,"teacher_disagreement_score":0.87642205,"about_ca_system_score_codex":0.00006810083,"about_ca_system_score_gemma":0.00002904142,"threshold_uncertainty_score":0.7042661},"labels":[],"label_agreement":null},{"id":"W2157105539","doi":"10.1016/j.tics.2012.06.001","title":"Immanuel Kant's mind and the brain's resting state","year":2012,"lang":"en","type":"review","venue":"Trends in Cognitive Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Ottawa","funders":"Canadian Institutes of Health Research; Hope for Depression Research Foundation","keywords":"Consciousness; Psychology; Cognitive science; Association (psychology); Neural correlates of consciousness; Field (mathematics); Philosophy; Neuroscience; Cognitive psychology; Epistemology; Cognition","score_opus":0.30557608616002446,"score_gpt":0.4348876372670056,"score_spread":0.12931155110698112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157105539","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018510732,0.97576517,0.0000107852975,0.0004444399,0.00073971285,0.00045595673,0.00009595461,0.00002539511,0.020611491],"genre_scores_gemma":[0.01063276,0.98600674,0.000026218877,0.0003628168,0.00013993659,0.000068238194,0.000008443227,0.000019697025,0.0027351421],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970723,0.0007538733,0.0004265213,0.00080780813,0.00041913072,0.00052041595],"domain_scores_gemma":[0.9937996,0.005581151,0.0003770657,0.000141399,0.000025507501,0.00007527143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001959442,0.00032577227,0.0006731094,0.0005071106,0.0004823006,0.00026257223,0.00042819357,0.000082550316,0.000065760985],"category_scores_gemma":[0.0015384656,0.00017782052,0.000149122,0.0017775318,0.0024272199,0.00034668334,0.00024465052,0.00046528815,0.000029326964],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001016551,0.000015157663,0.0000142734925,0.00014642613,0.0000031094985,0.000011567201,0.00015723164,3.3531506e-7,0.00000438514,0.00044367983,0.000019226074,0.9991744],"study_design_scores_gemma":[0.0032139733,0.0005518449,0.000897386,0.016179396,0.0008940459,0.0008321503,0.0004958883,0.002006244,0.00012207484,0.0077141365,0.9647244,0.0023684313],"about_ca_topic_score_codex":0.000037590413,"about_ca_topic_score_gemma":0.00007883828,"teacher_disagreement_score":0.996806,"about_ca_system_score_codex":0.00002780968,"about_ca_system_score_gemma":0.000073531686,"threshold_uncertainty_score":0.8943193},"labels":[],"label_agreement":null},{"id":"W2157126630","doi":"10.1016/j.tins.2003.10.002","title":"Hyperexcitable dendrites in motoneurons and their neuromodulatory control during motor behavior","year":2003,"lang":"en","type":"review","venue":"Trends in Neurosciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":240,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Ionotropic effect; Neuroscience; Monoaminergic; Brainstem; Motor behavior; Biology; Glutamate receptor; Serotonin; Receptor","score_opus":0.06598235187043425,"score_gpt":0.3079580089931113,"score_spread":0.24197565712267707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157126630","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35043573,0.64240545,0.000002494969,0.000055086126,0.0043471614,0.0014526529,0.00028809014,0.00022608691,0.00078725256],"genre_scores_gemma":[0.12505786,0.8726643,0.0000081544495,0.00022533257,0.000053457843,0.00031649566,0.0000033868985,0.000079663005,0.0015914005],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99540985,0.0007842363,0.0008289402,0.0017493082,0.00037496557,0.00085269415],"domain_scores_gemma":[0.9983492,0.00064304256,0.0003170628,0.0005032905,0.0000113006945,0.00017608974],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030778846,0.0006938605,0.0013370601,0.0015848802,0.0002959777,0.00025010813,0.0007099324,0.00021035386,0.000025720617],"category_scores_gemma":[0.00035318165,0.00053485634,0.0002563788,0.0022149931,0.0005177509,0.00048195524,0.00017031546,0.00086957344,0.0000074137224],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043845666,0.001274436,0.0035902397,0.0028320083,0.000006276918,0.0018018072,0.00013399686,0.000144698,0.06058701,0.0006860146,0.00004469351,0.92885494],"study_design_scores_gemma":[0.009304448,0.003726384,0.074276604,0.010242454,0.0007669219,0.010428646,0.00016417322,0.030651968,0.0024115983,0.0005202759,0.84685695,0.01064959],"about_ca_topic_score_codex":0.00002290705,"about_ca_topic_score_gemma":0.00003656657,"teacher_disagreement_score":0.9182054,"about_ca_system_score_codex":0.00008271961,"about_ca_system_score_gemma":0.000077266326,"threshold_uncertainty_score":0.9997103},"labels":[],"label_agreement":null},{"id":"W2157142542","doi":"10.1113/jp271271","title":"Choosing sides: making decisions in an escape response","year":2015,"lang":"en","type":"article","venue":"The Journal of Physiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Perception; Cognitive psychology; Motor control; Mechanism (biology); Control (management); Selection (genetic algorithm); Psychology; Computer science; Deliberation; Cognitive science; Communication; Neuroscience; Artificial intelligence; Political science","score_opus":0.0984019806893061,"score_gpt":0.34442072181668126,"score_spread":0.24601874112737515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157142542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99846447,0.000021513446,0.00014043559,0.0007803313,0.00046221662,0.000045570934,7.0086264e-7,0.0000054131497,0.00007935177],"genre_scores_gemma":[0.9987449,0.000021358674,0.00009378977,0.0009836949,0.00012476768,3.808168e-7,9.686615e-8,0.0000071361055,0.000023845878],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99832326,0.0010488904,0.00024752892,0.00008820067,0.00014375644,0.00014837974],"domain_scores_gemma":[0.9983286,0.0011933355,0.00020934577,0.00015547298,0.000058264264,0.0000549431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011818236,0.00006471975,0.00013569271,0.00012169924,0.00006916511,0.000015832231,0.00028711912,0.000033114495,0.000010450679],"category_scores_gemma":[0.0019497392,0.000037866594,0.000036833626,0.00020186666,0.000072589246,0.00020777082,0.00005515036,0.00025694008,0.000011076157],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017722097,0.00003776503,0.000050078612,4.3207316e-7,8.877533e-7,0.000014047104,0.0003578461,0.004031242,0.9918623,0.00014267197,0.00011660254,0.0016139366],"study_design_scores_gemma":[0.006035373,0.009648223,0.37691262,0.000415067,0.000080470374,0.0033921432,0.0043460117,0.0886417,0.29031643,0.21283229,0.006579189,0.0008004924],"about_ca_topic_score_codex":0.0000030882316,"about_ca_topic_score_gemma":0.000009660225,"teacher_disagreement_score":0.70154583,"about_ca_system_score_codex":0.000044126773,"about_ca_system_score_gemma":0.00006471728,"threshold_uncertainty_score":0.23341608},"labels":[],"label_agreement":null},{"id":"W2157251189","doi":"10.1007/978-3-540-30572-9_10","title":"Towards a Biologically Plausible Active Visual Search Model","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Foveal; Computer science; Macaque; Saccade; Visual search; Active vision; Representation (politics); Artificial intelligence; Eye movement; Computer vision; Neuroscience; Psychology","score_opus":0.04917503931131579,"score_gpt":0.2986314486069408,"score_spread":0.24945640929562501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157251189","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011257239,0.000024024148,0.975845,0.00094271195,0.00070823403,0.0004648979,0.000033821863,0.0001346835,0.0105893975],"genre_scores_gemma":[0.9520394,0.00009643256,0.038724404,0.006264254,0.00071532105,0.000011731488,0.000007827921,0.000052992124,0.0020876238],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964908,0.00004026927,0.0003254378,0.0015652712,0.00092215976,0.00065606413],"domain_scores_gemma":[0.9988459,0.0003715082,0.00013629589,0.00036708772,0.00012106502,0.00015817929],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00037518417,0.0004323333,0.00038692178,0.00053233095,0.00028899417,0.0002495376,0.0011216657,0.000346688,0.00009579292],"category_scores_gemma":[0.00019486998,0.00033907275,0.00012491776,0.00043187168,0.00088093395,0.000308972,0.00080629165,0.0010427998,0.00006760956],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000596382,0.000053257387,0.000006039542,0.000013401541,0.0000027181432,0.000047334343,0.0001500463,0.2720283,0.05836814,0.012138013,0.0000075184867,0.6571256],"study_design_scores_gemma":[0.0001640948,0.00031913997,0.00004198698,0.00007056203,0.0000038207527,0.000047501588,7.8534306e-8,0.92501533,0.02794096,0.04568975,0.00029690578,0.0004098885],"about_ca_topic_score_codex":0.000011789998,"about_ca_topic_score_gemma":0.000041451865,"teacher_disagreement_score":0.9407822,"about_ca_system_score_codex":0.00033119286,"about_ca_system_score_gemma":0.00051272823,"threshold_uncertainty_score":0.9999061},"labels":[],"label_agreement":null},{"id":"W2157253889","doi":"10.1109/icsmc.2004.1400019","title":"Emergent complex patterns in autonomous distributed systems: mechanisms for attention recovery and relation to models of clinical epilepsy","year":2005,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; University of Toronto","keywords":"Intermittency; Attractor; Dynamical systems theory; Computer science; Complex system; Collective behavior; Autonomous system (mathematics); Statistical physics; Chaotic; Artificial intelligence; Physics; Mathematics; Turbulence","score_opus":0.10555878329372011,"score_gpt":0.3280315325274465,"score_spread":0.2224727492337264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157253889","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5633186,0.0000014923046,0.43526274,0.0004892186,0.00027460768,0.00044722392,0.0001255391,0.000019854164,0.000060727278],"genre_scores_gemma":[0.99816424,0.00002212238,0.0012168455,0.00021944044,0.00004213057,0.00004071572,0.00006109224,0.000009159434,0.00022423099],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99869007,0.00009194774,0.00062397646,0.00032894107,0.00012272722,0.00014231027],"domain_scores_gemma":[0.9994434,0.0001800257,0.00015208326,0.0001256841,0.000037206388,0.00006156188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033801724,0.00008575353,0.00020299813,0.000078907215,0.000042690914,0.000021098123,0.000063077154,0.00006730358,0.000014184688],"category_scores_gemma":[0.00014501112,0.00007693832,0.00006419173,0.00011172713,0.000011401272,0.00020472704,0.000038695285,0.00006136998,0.0000038111273],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008171862,0.00075326994,0.015131631,0.0002371809,0.00001990468,0.0000043593764,0.00009153505,0.28703058,0.4340229,0.22147627,0.0010024334,0.03941274],"study_design_scores_gemma":[0.00054843863,0.00031712707,0.044298653,0.000023511857,0.0000069599378,0.0000038083851,0.000024598907,0.9511555,0.00074877124,0.0025743747,0.00020085889,0.000097441836],"about_ca_topic_score_codex":0.00006144638,"about_ca_topic_score_gemma":0.00007607156,"teacher_disagreement_score":0.66412485,"about_ca_system_score_codex":0.00004398234,"about_ca_system_score_gemma":0.000010555479,"threshold_uncertainty_score":0.31374535},"labels":[],"label_agreement":null},{"id":"W2157325718","doi":"10.1523/jneurosci.20-24-09195.2000","title":"Origin of Synchronized Oscillations Induced by Neocortical Disinhibition<i>In Vivo</i>","year":2000,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Medical Research Council; Medical Research Council Canada; Savoy Foundation","keywords":"Neocortex; Disinhibition; Neuroscience; Oscillation (cell signaling); Thalamus; Tetrodotoxin; Depolarization; Biophysics; Chemistry; Sink (geography); Biology","score_opus":0.030613460199069322,"score_gpt":0.28003783403463467,"score_spread":0.24942437383556534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157325718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969872,0.000008779878,0.00027410482,0.0010402709,0.00049567514,0.000113098795,0.000016947255,0.000010393568,0.0010534901],"genre_scores_gemma":[0.998512,0.00009201278,0.000059464594,0.0009225868,0.00004823038,0.0000013837284,1.448648e-7,0.000009052055,0.00035512343],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99813217,0.00013582376,0.0006194775,0.00026199507,0.0005957102,0.0002548083],"domain_scores_gemma":[0.99913627,0.000229552,0.00029147172,0.00015828892,0.00005699547,0.0001274467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025723284,0.00011692956,0.0002298146,0.00017746945,0.00010491427,0.000057767524,0.00031137248,0.000044746947,0.00015599582],"category_scores_gemma":[0.00062297634,0.00009541632,0.00009780798,0.0009822171,0.00020714276,0.0005761734,0.000025348054,0.0002767802,0.0000059716394],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053168675,0.0001534818,0.0002995655,0.00000403337,2.4904787e-7,0.00003054978,0.00002387794,0.00044231943,0.99661255,0.0004321375,0.00031533072,0.0016327433],"study_design_scores_gemma":[0.0030427806,0.0022182271,0.027189452,0.00019583185,0.000028367174,0.0010834935,0.000028464548,0.041442744,0.90293854,0.0030122236,0.018280875,0.0005390037],"about_ca_topic_score_codex":0.000008307842,"about_ca_topic_score_gemma":0.000002849199,"teacher_disagreement_score":0.093674004,"about_ca_system_score_codex":0.000050997587,"about_ca_system_score_gemma":0.00010507714,"threshold_uncertainty_score":0.38909647},"labels":[],"label_agreement":null},{"id":"W2157419706","doi":"10.3389/fnhum.2013.00080","title":"Patterns of Cortical Oscillations Organize Neural Activity into Whole-Brain Functional Networks Evident in the fMRI BOLD Signal","year":2013,"lang":"en","type":"article","venue":"Frontiers in Human Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Mental Health & Substance Use Services; University of British Columbia","funders":"","keywords":"Neuroscience; Functional connectivity; Psychology; Neural activity; SIGNAL (programming language); Functional magnetic resonance imaging; Brain activity and meditation; EEG-fMRI; Electroencephalography; Computer science","score_opus":0.02897737885306968,"score_gpt":0.25402088373093207,"score_spread":0.2250435048778624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157419706","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.950595,0.000009597985,0.043566037,0.0035774289,0.0015652264,0.00058755267,0.000008042427,0.00003380593,0.000057279954],"genre_scores_gemma":[0.99692965,0.0000062420363,0.00004452965,0.0026026673,0.00009242829,0.00005914311,0.000003163894,0.000017789156,0.0002443948],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99698246,0.00059890415,0.00046131885,0.00074019894,0.00071414665,0.0005029924],"domain_scores_gemma":[0.9987643,0.0004914257,0.00019110534,0.00040612966,0.000047365986,0.00009971829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005223051,0.00022599754,0.0002555096,0.00028760094,0.00042209623,0.0001998112,0.0007146591,0.00008425899,0.00006077702],"category_scores_gemma":[0.00067141716,0.00017834418,0.00008608689,0.001161956,0.00042532058,0.0007744965,0.0001829598,0.0006788789,0.0000028207303],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003663579,0.0003315176,0.18868978,0.00001865588,9.1587157e-7,0.000028693907,0.0003394151,0.03844879,0.7640184,0.0011498277,0.0050363927,0.0019009396],"study_design_scores_gemma":[0.00033225075,0.00020668263,0.6212914,0.000019820447,0.0000040104474,0.000017080347,0.000097722776,0.37401515,0.0025777211,0.0010932356,0.00016114904,0.0001837828],"about_ca_topic_score_codex":0.00017864803,"about_ca_topic_score_gemma":0.000090464164,"teacher_disagreement_score":0.7614407,"about_ca_system_score_codex":0.00010139779,"about_ca_system_score_gemma":0.00004303386,"threshold_uncertainty_score":0.7272665},"labels":[],"label_agreement":null},{"id":"W2157576785","doi":"10.1152/jn.00414.2007","title":"Dendrite-to-Soma Input/Output Function of Continuous Time-Varying Signals in Hippocampal CA1 Pyramidal Neurons","year":2007,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Soma; Apical dendrite; Pyramidal cell; Subthreshold conduction; Stimulus (psychology); Dendritic spike; Dendrite (mathematics); Neuroscience; Hippocampal formation; Control theory (sociology); Automatic gain control; Biological system; Excitatory postsynaptic potential; Physics; Mathematics; Biology; Computer science; Inhibitory postsynaptic potential; Psychology; Voltage","score_opus":0.020713804096419656,"score_gpt":0.2553164794556461,"score_spread":0.23460267535922646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157576785","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99695253,0.000008746078,0.00069227687,0.00032984727,0.0015698145,0.00017476766,0.000006244365,0.000018920993,0.000246863],"genre_scores_gemma":[0.9970641,0.00001862258,0.00007253194,0.002331098,0.00031525118,0.0000011855707,9.930053e-7,0.000031249772,0.00016495238],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99758244,0.00033349212,0.00094442966,0.00035110168,0.0003441406,0.0004443999],"domain_scores_gemma":[0.9980352,0.00079348247,0.0006352155,0.00020923074,0.00015852213,0.0001683372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023635136,0.0002111236,0.00053457,0.0006230971,0.00007569487,0.000021794169,0.00033553108,0.000110097826,0.000040342165],"category_scores_gemma":[0.00091238547,0.0001856297,0.00018438164,0.00060340785,0.00013061146,0.00022102126,0.00010899724,0.0005794105,0.000045893514],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011494661,0.00017906637,0.00032401513,0.000012875116,0.0000061246765,0.00048576717,0.000051998082,0.010390773,0.9812088,0.000056262095,0.000070635106,0.006064243],"study_design_scores_gemma":[0.004073982,0.015164095,0.5598471,0.00018019872,0.00009964927,0.0017974988,0.00007142256,0.011070827,0.40039244,0.0036989865,0.0028219149,0.0007818837],"about_ca_topic_score_codex":0.000010399298,"about_ca_topic_score_gemma":0.0000025132028,"teacher_disagreement_score":0.5808163,"about_ca_system_score_codex":0.000045990808,"about_ca_system_score_gemma":0.000057323887,"threshold_uncertainty_score":0.75697595},"labels":[],"label_agreement":null},{"id":"W2157617740","doi":"10.1109/tbme.2004.831520","title":"Control of State Transitions in an In Silico Model of Epilepsy Using Small Perturbations","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Artificial neural network; Chaotic; Nonlinear system; Gaussian; Control theory (sociology); Perturbation (astronomy); Computer science; State variable; Topology (electrical circuits); Physics; Mathematics; Artificial intelligence; Control (management)","score_opus":0.027867352576809813,"score_gpt":0.23579866963507762,"score_spread":0.2079313170582678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157617740","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49486518,0.0000014584598,0.50474185,0.00011281677,0.00008370577,0.00009693746,0.00007815967,0.000017740409,0.0000021371898],"genre_scores_gemma":[0.9983397,0.000010362973,0.0015419301,0.00006398003,0.0000068959857,0.000016060743,0.0000019308022,0.00001565764,0.0000034627124],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99900633,0.00002651539,0.0003795075,0.0002117026,0.0001824064,0.00019354827],"domain_scores_gemma":[0.99963456,0.0000876149,0.000040123898,0.00012994428,0.000020318055,0.00008743474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000103794395,0.00011265776,0.0001946928,0.00052999717,0.00003086852,0.0000061888904,0.00009677544,0.00007367699,0.000006394695],"category_scores_gemma":[0.00001982659,0.00011479215,0.0000674128,0.00064187683,0.00008118352,0.00014260891,5.231645e-7,0.00024057622,5.252888e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017605704,0.0002188416,0.0000017520882,0.000013505972,0.0000013080535,0.0000022655263,0.00012967129,0.5089163,0.49003857,0.00014705825,1.768222e-8,0.0005130766],"study_design_scores_gemma":[0.0010354869,0.0001321502,0.00008756265,0.000074728596,0.000007295512,0.0000046018886,0.00001532933,0.8851598,0.11320116,0.0001917383,0.0000012036611,0.00008896529],"about_ca_topic_score_codex":0.00007744391,"about_ca_topic_score_gemma":0.00010116553,"teacher_disagreement_score":0.50347453,"about_ca_system_score_codex":0.0000880672,"about_ca_system_score_gemma":0.00006294777,"threshold_uncertainty_score":0.4681088},"labels":[],"label_agreement":null},{"id":"W2157936239","doi":"10.3389/fnhum.2013.00170","title":"A supplementary circuit rule-set for the neuronal wiring","year":2013,"lang":"en","type":"article","venue":"Frontiers in Human Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Set (abstract data type); Computer science; Programming language","score_opus":0.04744921258890403,"score_gpt":0.26677175337064196,"score_spread":0.21932254078173793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157936239","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9470926,0.000019708525,0.04128929,0.002665734,0.0063404143,0.0019193178,0.00016946618,0.00008175139,0.00042170438],"genre_scores_gemma":[0.9922806,0.000019908974,0.00020862144,0.0061908956,0.00011481749,0.0002799556,0.0000069857497,0.000025438936,0.0008727782],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99788344,0.000088868685,0.00030379876,0.0007387456,0.00039194667,0.0005931893],"domain_scores_gemma":[0.9991509,0.00023839527,0.00010743565,0.00038942267,0.000023606524,0.00009028876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024868624,0.00019058766,0.00015649312,0.00016988063,0.0007338997,0.0002739342,0.000927761,0.000034829187,0.000111905705],"category_scores_gemma":[0.00032610292,0.00014680611,0.00008766556,0.0004732281,0.00041945692,0.00043479627,0.00016561757,0.0002600146,0.000003182721],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020527337,0.00009765996,0.014718607,0.00002583214,0.0000013103195,0.0000134246175,0.0001973348,0.002366271,0.929618,0.004944217,0.040535785,0.007461044],"study_design_scores_gemma":[0.002668457,0.00095837686,0.14632738,0.000052386622,0.000035344947,0.00008884788,0.00042240886,0.6135972,0.07232871,0.06631118,0.09590025,0.0013094237],"about_ca_topic_score_codex":0.00007287623,"about_ca_topic_score_gemma":0.000013201607,"teacher_disagreement_score":0.85728925,"about_ca_system_score_codex":0.00005991619,"about_ca_system_score_gemma":0.000027401125,"threshold_uncertainty_score":0.5986579},"labels":[],"label_agreement":null},{"id":"W2157973185","doi":"10.1152/jn.01296.2005","title":"Nonlinear Information Processing in a Model Sensory System","year":2006,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":98,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Receptive field; Sensory system; Computer science; ENCODE; Neuroscience; Encoding (memory); Nonlinear system; Noise (video); Sensory stimulation therapy; Spike train; Artificial intelligence; Spike (software development); Physics; Biology","score_opus":0.02021049931739209,"score_gpt":0.2398052826183807,"score_spread":0.21959478330098858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157973185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978291,0.0000034321122,0.0010637271,0.00014996456,0.00027826382,0.000053429605,0.000003052251,0.000014821343,0.0006042056],"genre_scores_gemma":[0.99900126,0.000008712778,0.0003100056,0.00048105995,0.00014111325,7.462097e-7,6.969307e-7,0.000006443208,0.000049962935],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913263,0.00007965704,0.00043145736,0.00008423061,0.00013613056,0.000135866],"domain_scores_gemma":[0.9994492,0.000041370684,0.0003506707,0.00006386939,0.00007095994,0.000023948882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000040288756,0.000076012344,0.00016123822,0.00019612629,0.00004509489,0.00002578146,0.00010931605,0.000041633986,7.4195316e-7],"category_scores_gemma":[0.00008407959,0.000059642065,0.000050925293,0.00017267474,0.00003278812,0.0004844742,0.000022165521,0.0002221371,0.000009073463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008092038,0.000032120683,0.00000702182,0.000031689564,2.1492504e-7,0.00004964517,0.000016554197,0.15401305,0.84432364,0.00038559033,0.000018136772,0.0010413986],"study_design_scores_gemma":[0.00038878497,0.00020850882,0.0015221083,0.000033988985,0.0000036855677,0.00037167943,0.000017220349,0.9894192,0.0072183376,0.00047491226,0.00027439263,0.00006714538],"about_ca_topic_score_codex":0.0000044028707,"about_ca_topic_score_gemma":4.7615708e-7,"teacher_disagreement_score":0.83710533,"about_ca_system_score_codex":0.00003911429,"about_ca_system_score_gemma":0.00004467228,"threshold_uncertainty_score":0.24321328},"labels":[],"label_agreement":null},{"id":"W2157999315","doi":"10.3389/fpsyg.2010.00019","title":"Healthy aging delays scalp EEG sensitivity to noise in a face discrimination task","year":2010,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Economic and Social Research Council; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Scottish Funding Council","keywords":"Psychology; Scalp; Task (project management); Electroencephalography; Audiology; Noise (video); Face (sociological concept); Sensitivity (control systems); Cognitive psychology; Neuroscience; Artificial intelligence; Computer science; Medicine","score_opus":0.019432716492492785,"score_gpt":0.31008170514649097,"score_spread":0.2906489886539982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157999315","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9176852,0.000010928494,0.0645323,0.010052704,0.006355459,0.00032854074,0.000011683118,0.00003956379,0.0009836161],"genre_scores_gemma":[0.98844665,0.000027490267,0.0030305635,0.008324913,0.00005450342,0.000025128002,0.0000047590106,0.000016145028,0.000069823065],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99839705,0.00024506365,0.00023821594,0.0006009655,0.0001295005,0.00038922887],"domain_scores_gemma":[0.9994531,0.000085871514,0.00006420558,0.00028514003,0.000015199296,0.00009646184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045939293,0.00013041946,0.00018984104,0.00042213706,0.0000684571,0.000022801838,0.00014497324,0.00012954116,0.000007246961],"category_scores_gemma":[0.00033057618,0.00013421722,0.000032792428,0.0005536458,0.000088289264,0.00015494968,0.000050937386,0.00051521644,0.000028262877],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002307037,0.00023242577,0.033844646,0.000013324874,0.0000012211151,0.00011061617,0.0006850498,0.0001529425,0.8372045,0.0007126481,0.0060111443,0.12080073],"study_design_scores_gemma":[0.0038770665,0.000760924,0.8442609,0.00006756792,0.000011654665,0.00028762573,0.0005086289,0.094361655,0.0109156715,0.022522561,0.021406105,0.0010196705],"about_ca_topic_score_codex":0.000075818105,"about_ca_topic_score_gemma":0.0008940914,"teacher_disagreement_score":0.8262889,"about_ca_system_score_codex":0.000066189285,"about_ca_system_score_gemma":0.00001695843,"threshold_uncertainty_score":0.5473219},"labels":[],"label_agreement":null},{"id":"W2158062263","doi":"10.1109/ner.2011.5910480","title":"Seizure-like events in rodent and computer models: A ring device perspective","year":2011,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Bistability; Intermittency; Attractor; Ictal; Statistical physics; Noise (video); Physics; Perspective (graphical); Rhythm; Multistability; Computer science; Neuroscience; Chaotic; Epilepsy; Mathematics; Nonlinear system; Psychology; Artificial intelligence; Mathematical analysis","score_opus":0.07022940237723592,"score_gpt":0.2583711042940408,"score_spread":0.1881417019168049,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158062263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9800639,0.0000112356465,0.0073975497,0.00010471456,0.00022502917,0.00014630219,0.0000010223824,0.000043204785,0.012007006],"genre_scores_gemma":[0.9979663,0.000016336586,0.0005617467,0.0010151685,0.000019371506,0.0000056265258,1.6658574e-7,0.0000072948696,0.00040797875],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993148,0.00004052429,0.00009272742,0.00030834353,0.00010084904,0.00014278345],"domain_scores_gemma":[0.99979144,0.00003321102,0.000024261262,0.00009112144,0.000018302513,0.000041669435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005483572,0.000079433936,0.00007883084,0.00006639947,0.000046284043,0.000012247406,0.0000762144,0.00002619819,0.000019694337],"category_scores_gemma":[0.000011812749,0.00006521442,0.000018487279,0.000117007155,0.0000198044,0.00023725684,0.000091091446,0.000089737616,0.000011699253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004329215,0.0012052603,0.031927105,0.000082198625,0.000027540409,0.00024438725,0.019858215,0.0047470247,0.07950413,0.84826446,0.00021214283,0.013494608],"study_design_scores_gemma":[0.0005107081,0.00010411224,0.041302584,0.000022671336,0.0000042956312,0.00004376632,0.0002637646,0.93014944,0.0031373797,0.024235914,0.00003812813,0.00018724355],"about_ca_topic_score_codex":0.00049970014,"about_ca_topic_score_gemma":0.00021965678,"teacher_disagreement_score":0.9254024,"about_ca_system_score_codex":0.00004342347,"about_ca_system_score_gemma":0.0000069686375,"threshold_uncertainty_score":0.2659367},"labels":[],"label_agreement":null},{"id":"W2158349836","doi":"10.1016/j.jneumeth.2009.06.041","title":"Pulse-coupled neuron models as investigative tools for musical consonance","year":2009,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"General Dynamics (Canada); University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Consonance and dissonance; Nonlinear system; Robustness (evolution); Statistical physics; Computer science; Auditory system; Acoustics; Physics; Mathematics; Neuroscience; Psychology; Quantum mechanics","score_opus":0.19015010627041043,"score_gpt":0.4026087185174871,"score_spread":0.21245861224707666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158349836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7519474,0.000028759083,0.23729241,0.006853821,0.0026298922,0.00047263334,0.000009731272,0.000044108147,0.0007212679],"genre_scores_gemma":[0.9278275,0.00009037607,0.050082244,0.021396315,0.0002371185,0.000007688486,2.543311e-7,0.000020923659,0.00033762],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970123,0.0006229513,0.0006822314,0.00056499237,0.0006419399,0.00047556704],"domain_scores_gemma":[0.9965035,0.0020012273,0.0006919531,0.0002713739,0.0002227785,0.00030917226],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0016118379,0.00024173618,0.0004291938,0.00022228251,0.0003162834,0.0003333654,0.00073849136,0.000077345656,0.000008039441],"category_scores_gemma":[0.015702046,0.00018995981,0.00025704154,0.00080312055,0.00047170772,0.0019305365,0.00005825658,0.00049326534,0.0000025725549],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012612919,0.00009418134,0.0000019547101,0.0000045570473,5.9113995e-7,0.000049298753,0.00007573433,0.0024314711,0.94258237,0.013075884,0.000115806215,0.04144201],"study_design_scores_gemma":[0.0010163616,0.0038796908,0.0039955387,0.00004614592,0.00003097884,0.0010712106,0.000026602367,0.4263503,0.38726297,0.17024677,0.0057139243,0.00035952489],"about_ca_topic_score_codex":0.0000015242026,"about_ca_topic_score_gemma":2.3541004e-7,"teacher_disagreement_score":0.5553194,"about_ca_system_score_codex":0.00005237427,"about_ca_system_score_gemma":0.00020877815,"threshold_uncertainty_score":0.9925891},"labels":[],"label_agreement":null},{"id":"W2158394599","doi":"10.1111/j.1469-8986.2008.00668.x","title":"The feedback correct‐related positivity: Sensitivity of the event‐related brain potential to unexpected positive feedback","year":2008,"lang":"en","type":"article","venue":"Psychophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":592,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Michael Smith Health Research BC","keywords":"Negativity effect; Psychology; Negative feedback; Fern; Event-related potential; Positive feedback; Cognitive psychology; Electroencephalography; Neuroscience; Social psychology; Physics","score_opus":0.009923315590446345,"score_gpt":0.23904275637901953,"score_spread":0.2291194407885732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158394599","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9852178,0.000014967243,0.00019144749,0.009140197,0.0034763082,0.0007080653,0.00007044381,0.00008731383,0.001093471],"genre_scores_gemma":[0.99507713,0.00003692096,0.000010430799,0.0025014812,0.00006835838,0.000017129034,0.000013825327,0.000034771332,0.0022399437],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.996301,0.0016374822,0.00047817774,0.0007043099,0.0003372266,0.0005418122],"domain_scores_gemma":[0.99744594,0.001351483,0.0003223888,0.0006273537,0.00013814204,0.00011466489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029101514,0.00029540624,0.0003630586,0.00008725952,0.0008808603,0.000023547718,0.00039186171,0.0001999799,0.00003127854],"category_scores_gemma":[0.00072892586,0.00018888467,0.00029442034,0.0011192559,0.00069011864,0.00011612458,0.00022504783,0.0005237205,0.00016499635],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048659262,0.00016723531,0.00010623561,0.0000030791446,0.000035750312,0.000034706067,0.0002933962,0.0009927711,0.9928837,0.00042427922,0.0022243748,0.0023478987],"study_design_scores_gemma":[0.0026078732,0.0012112608,0.3901431,0.0000774213,0.00006685183,0.0013794267,0.00014487002,0.0242975,0.57095903,0.00774598,0.0005889418,0.00077778666],"about_ca_topic_score_codex":0.00015218783,"about_ca_topic_score_gemma":0.00003911469,"teacher_disagreement_score":0.42192468,"about_ca_system_score_codex":0.00006422332,"about_ca_system_score_gemma":0.000059845883,"threshold_uncertainty_score":0.77024937},"labels":[],"label_agreement":null},{"id":"W2158489049","doi":"10.1016/s1472-9288(01)00022-x","title":"Corticothalamic operations through prevalent inhibition of thalamocortical neurons","year":2001,"lang":"en","type":"article","venue":"Thalamus & Related Systems","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; National Institutes of Health; National Institute for Health and Care Research","keywords":"Neuroscience; Thalamus; Thalamic reticular nucleus; Cortex (anatomy); Neocortex; Reticular connective tissue; Cortical neurons; GABAergic; Electrophysiology; Biology; Inhibitory postsynaptic potential; Anatomy","score_opus":0.034116085782778555,"score_gpt":0.2657888705265213,"score_spread":0.23167278474374273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158489049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9843912,0.000103136816,0.001193308,0.00034569405,0.0016151711,0.00090619497,0.000026095995,0.00021310765,0.011206052],"genre_scores_gemma":[0.99662185,0.00027235324,0.00002048045,0.00010695642,0.00008052204,0.00006482881,0.00002068515,0.000042977877,0.0027693608],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972907,0.00038056396,0.0008587249,0.0005623238,0.0005017478,0.00040594107],"domain_scores_gemma":[0.99890345,0.00019968482,0.0002064932,0.00049597566,0.00009454302,0.00009983721],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020048209,0.0002460939,0.00035101135,0.000120644414,0.00024260879,0.00008257875,0.00018256299,0.00016034253,0.000102564205],"category_scores_gemma":[0.00026777707,0.0002147258,0.00014410542,0.0006621446,0.0001978367,0.00040595655,0.0000703217,0.00034539262,0.00017019174],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000434185,0.0003241991,0.002481473,0.00007784273,0.00001875789,0.0001560429,0.00035424743,0.0119264545,0.92753994,0.056521595,0.00011664801,0.0004393875],"study_design_scores_gemma":[0.0055521983,0.0024839018,0.058095988,0.0012100738,0.0005026143,0.0077026254,0.00066784734,0.536269,0.37457246,0.00699752,0.0038595907,0.0020861535],"about_ca_topic_score_codex":0.00012415805,"about_ca_topic_score_gemma":0.000010652374,"teacher_disagreement_score":0.5529675,"about_ca_system_score_codex":0.00007646143,"about_ca_system_score_gemma":0.00005152666,"threshold_uncertainty_score":0.87562644},"labels":[],"label_agreement":null},{"id":"W2158904676","doi":"10.1093/cercor/bht355","title":"Attentional Selection in a Cocktail Party Environment Can Be Decoded from Single-Trial EEG","year":2014,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":912,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Electroencephalography; Magnetoencephalography; Computer science; Stimulus (psychology); Brain activity and meditation; Cognition; Neurophysiology; Speech recognition; Mismatch negativity; Cognitive psychology; Psychology; Artificial intelligence; Neuroscience","score_opus":0.030709811362410896,"score_gpt":0.22954443258945675,"score_spread":0.19883462122704587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158904676","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968217,0.0000025504794,0.0007419588,0.00072630466,0.0006840953,0.0002987073,0.000036192432,0.000056901183,0.00063158787],"genre_scores_gemma":[0.99748445,0.0000041083144,0.00009091886,0.0011906428,0.00021282655,0.000030115083,0.0000577821,0.000018384495,0.0009107665],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99840444,0.00017435294,0.00027481423,0.00054324925,0.00031647403,0.0002866927],"domain_scores_gemma":[0.99948406,0.00015398883,0.00011388082,0.0001447612,0.000010736197,0.00009257995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000118527765,0.00015780516,0.0001672135,0.00007575909,0.00013937437,0.00006497642,0.00013330436,0.00008722316,0.00052193715],"category_scores_gemma":[0.00014912122,0.00015056803,0.00007643999,0.00015754795,0.00006486311,0.00013518223,0.000059407997,0.00019792448,0.0000798608],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013913409,0.00027889546,0.008964124,0.0000046804303,0.000005354768,0.000005461439,0.000054218035,0.0002555393,0.9817418,0.0017904793,0.00070654385,0.004801605],"study_design_scores_gemma":[0.05180112,0.0033747817,0.5174671,0.00007050665,0.00008652577,0.00004484574,0.00008387641,0.25748888,0.10791028,0.026230415,0.033776704,0.0016649887],"about_ca_topic_score_codex":0.0002264481,"about_ca_topic_score_gemma":0.000734595,"teacher_disagreement_score":0.87383145,"about_ca_system_score_codex":0.00015713095,"about_ca_system_score_gemma":0.000024029148,"threshold_uncertainty_score":0.6139986},"labels":[],"label_agreement":null},{"id":"W2159030982","doi":"10.1162/jocn.2009.21105","title":"Response-selection Conflict Contributes to Inhibition of Return","year":2008,"lang":"en","type":"article","venue":"Journal of Cognitive Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inhibition of return; Cued speech; Psychology; Selection (genetic algorithm); False alarm; Cognitive psychology; Audiology; Social psychology; Neuroscience; Perception; Visual attention; Statistics; Artificial intelligence","score_opus":0.05041175446389949,"score_gpt":0.29201871457048156,"score_spread":0.24160696010658206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159030982","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898549,0.000011040453,0.007821674,0.001081631,0.0007680489,0.00019902836,0.000017296488,0.000014667985,0.00023174942],"genre_scores_gemma":[0.9956243,0.00006904479,0.000037124482,0.0039525977,0.000051500578,0.000002678956,2.1068256e-7,0.000009743007,0.0002528142],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99806964,0.00035994317,0.0004978023,0.00026180953,0.0005865143,0.00022430104],"domain_scores_gemma":[0.9975547,0.0011051147,0.0005257452,0.000072366616,0.0006152303,0.0001268002],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0006608941,0.00012279963,0.0002398219,0.00044478165,0.00023119437,0.00003458922,0.00016846378,0.000045267243,0.000010666991],"category_scores_gemma":[0.01239461,0.000102708225,0.00011232975,0.001179458,0.00034931817,0.00046163503,0.000046234913,0.00025749608,0.0000061403052],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015485602,0.00009467157,0.0012773953,0.0000030338533,0.0000010673042,0.000079887875,0.00012514919,0.00006645881,0.9959104,0.00016092985,0.00031968212,0.00041274333],"study_design_scores_gemma":[0.00070333085,0.0018447958,0.064597376,0.000112214955,0.000011302575,0.0008951785,0.000031290594,0.0007172313,0.9294298,0.00014055589,0.0014193123,0.00009755339],"about_ca_topic_score_codex":0.000002080562,"about_ca_topic_score_gemma":8.4865235e-7,"teacher_disagreement_score":0.06648056,"about_ca_system_score_codex":0.000046099398,"about_ca_system_score_gemma":0.00015899882,"threshold_uncertainty_score":0.9959244},"labels":[],"label_agreement":null},{"id":"W2159345227","doi":"10.1142/s021963520600115x","title":"DIRECT CONTROL OF FIRING RATE GAIN BY DENDRITIC SHUNTING INHIBITION","year":2006,"lang":"en","type":"article","venue":"Journal of Integrative Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Shunting; Automatic gain control; Neuroscience; Control (management); Computer science; Control theory (sociology); Chemistry; Psychology; Computer network; Artificial intelligence","score_opus":0.01327010546143859,"score_gpt":0.24637534682654147,"score_spread":0.23310524136510288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159345227","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96482617,0.00006120177,0.03203285,0.00048181758,0.0008761686,0.00013237183,0.000029103472,0.000016598973,0.0015437088],"genre_scores_gemma":[0.998636,0.000032443044,0.000065885266,0.0008638527,0.000082962804,0.0000020655198,3.8046488e-7,0.000011159337,0.0003052632],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99806696,0.0003153664,0.000630116,0.0002770669,0.00045450154,0.0002559961],"domain_scores_gemma":[0.9981194,0.00068011164,0.0007982535,0.00010468893,0.0002308477,0.00006666114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006204726,0.00016838766,0.0003066181,0.00020543225,0.00016875491,0.000099417935,0.00024304299,0.000037025755,0.000009136101],"category_scores_gemma":[0.0027063107,0.00011685815,0.000150477,0.00058476493,0.00030489673,0.00069932925,0.000030459494,0.00032070128,0.0000019560493],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045358887,0.00008673059,0.00046960966,0.0000072713756,6.7523246e-7,0.000040582672,0.000028308743,0.00087947765,0.9963478,0.0010899571,0.0005117745,0.0004924905],"study_design_scores_gemma":[0.0004720454,0.00046493,0.0016682257,0.0001204286,0.000010304917,0.00012789688,0.000032685988,0.014083324,0.9816846,0.00086930615,0.00035479962,0.000111428235],"about_ca_topic_score_codex":0.000015835925,"about_ca_topic_score_gemma":0.0000068481268,"teacher_disagreement_score":0.03380981,"about_ca_system_score_codex":0.000057982616,"about_ca_system_score_gemma":0.00005711306,"threshold_uncertainty_score":0.4765337},"labels":[],"label_agreement":null},{"id":"W2159518565","doi":"10.1093/cercor/bhl092","title":"Neural Populations Can Induce Reliable Postsynaptic Currents without Observable Spike Rate Changes or Precise Spike Timing","year":2006,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Spike (software development); Neural coding; Postsynaptic potential; Neuroscience; Computer science; Spike-timing-dependent plasticity; Current (fluid); Biological neural network; Population; Poisson distribution; Spike train; Biology; Physics; Mathematics; Statistics","score_opus":0.09509875056620258,"score_gpt":0.2958920146179845,"score_spread":0.20079326405178188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159518565","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946283,0.000028235932,0.000040159408,0.0009984478,0.002138942,0.0005787426,0.00006605503,0.00023827936,0.0012828074],"genre_scores_gemma":[0.98592734,0.000012447018,0.00023096142,0.00088279345,0.0002996299,0.000044146,0.00009291875,0.00005856634,0.012451182],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9977539,0.00010860987,0.00037328785,0.00075693155,0.00034097672,0.0006662656],"domain_scores_gemma":[0.99900264,0.00008307063,0.00023263447,0.00044472207,0.00007854236,0.00015839502],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001370549,0.00033001383,0.00030382792,0.00015603729,0.00056983484,0.00021385847,0.00034060466,0.00011799661,0.00025579185],"category_scores_gemma":[0.0002191102,0.00027530795,0.00008570466,0.0006324874,0.000088007866,0.00042224713,0.0001461226,0.0003354807,0.00009172268],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043062202,0.000473415,0.13689014,0.00015110972,0.000013330216,0.00015181444,0.00014000632,0.0034161387,0.84001803,0.004909955,0.006378968,0.007026468],"study_design_scores_gemma":[0.0029370708,0.001267183,0.5041166,0.0002885684,0.00017974866,0.00027155792,0.00010130211,0.43862662,0.038060173,0.0038101992,0.0084226765,0.0019182803],"about_ca_topic_score_codex":0.0011392367,"about_ca_topic_score_gemma":0.0030918627,"teacher_disagreement_score":0.80195785,"about_ca_system_score_codex":0.00009797216,"about_ca_system_score_gemma":0.000058556347,"threshold_uncertainty_score":0.9999699},"labels":[],"label_agreement":null},{"id":"W2159723961","doi":"10.1016/s0166-2236(00)01547-2","title":"Resonance, oscillation and the intrinsic frequency preferences of neurons","year":2000,"lang":"en","type":"review","venue":"Trends in Neurosciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1178,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Neuroscience; Resonance (particle physics); Oscillation (cell signaling); Realization (probability); Perception; Property (philosophy); Psychology; Computer science; Physics; Biology; Mathematics; Philosophy","score_opus":0.08332989657675051,"score_gpt":0.32410594602795934,"score_spread":0.24077604945120884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159723961","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0064607766,0.9788623,0.0000012041195,0.00019853239,0.0018329769,0.00060224795,0.00008890127,0.000059856116,0.011893213],"genre_scores_gemma":[0.013352449,0.985613,0.000011283749,0.0000917977,0.00006118561,0.0000528007,0.0000036283252,0.00001815633,0.0007957341],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966419,0.00082500896,0.0007627649,0.0009243098,0.0005021886,0.00034386854],"domain_scores_gemma":[0.997808,0.0012381799,0.00047711717,0.00040822555,0.000013173886,0.000055324217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042353585,0.00035532305,0.0009528952,0.0006899846,0.00021590233,0.00012638362,0.00076919777,0.00012360839,0.000050132963],"category_scores_gemma":[0.00048430648,0.00020001252,0.00019542612,0.002787572,0.0016215226,0.0002784338,0.00013891411,0.0004652114,0.0000048797538],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012821348,0.000028326413,0.000024997842,0.00022820987,6.3167454e-7,0.000006519521,0.000036633435,0.000004164476,0.000039644598,0.0041349935,0.000028989549,0.9954541],"study_design_scores_gemma":[0.00097618456,0.0005176577,0.0020350637,0.002435641,0.00016676352,0.00020523311,0.000013604436,0.0009976749,0.00003895821,0.007217863,0.98461795,0.0007773979],"about_ca_topic_score_codex":0.000062133426,"about_ca_topic_score_gemma":0.00005597367,"teacher_disagreement_score":0.99467665,"about_ca_system_score_codex":0.00001964396,"about_ca_system_score_gemma":0.000086980166,"threshold_uncertainty_score":0.8156274},"labels":[],"label_agreement":null},{"id":"W2159752377","doi":"10.1177/1059712313511648","title":"Multi-timescale nexting in a reinforcement learning robot","year":2014,"lang":"en","type":"article","venue":"Adaptive Behavior","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Alberta Innovates - Technology Futures","keywords":"Reinforcement learning; Computer science; Laptop; Generalization; Temporal difference learning; Function (biology); Robot; Artificial intelligence; Simple (philosophy); Representation (politics); Range (aeronautics); Bellman equation; Machine learning; Mathematics; Mathematical optimization","score_opus":0.05642375213541702,"score_gpt":0.2814493595591195,"score_spread":0.22502560742370248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159752377","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9791069,0.000003940159,0.018337134,0.00006600348,0.00023997616,0.00033567264,7.822419e-7,0.000088195695,0.0018214036],"genre_scores_gemma":[0.9955667,0.0000034162376,0.0009720213,0.00022612739,0.000034263903,0.000067429035,0.0000023815098,0.000017494356,0.003110117],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99887764,0.00011923291,0.00022242808,0.00033773028,0.00017324308,0.00026970822],"domain_scores_gemma":[0.99954844,0.00015161138,0.00009410934,0.00012899269,0.000020051291,0.00005679274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019875352,0.0001217976,0.0001248481,0.00008642904,0.00013124036,0.00003587924,0.00011548164,0.000046315945,0.000063322484],"category_scores_gemma":[0.00034101185,0.00011499329,0.0000405446,0.00018925124,0.000043188866,0.00017079424,0.00007702277,0.00025896565,0.000096028714],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026560565,0.00009763331,0.0055062505,0.0000025359343,5.972488e-7,0.000017810667,0.0001323566,0.015786288,0.95220315,0.00081182644,0.00000778652,0.0254072],"study_design_scores_gemma":[0.0015398702,0.00083170494,0.11676314,0.000056619672,0.000023047198,0.000021236548,0.0001584243,0.79825,0.07982334,0.000046477242,0.0020230822,0.0004630388],"about_ca_topic_score_codex":0.000092042086,"about_ca_topic_score_gemma":0.000037507365,"teacher_disagreement_score":0.87237984,"about_ca_system_score_codex":0.000059676335,"about_ca_system_score_gemma":0.000009937315,"threshold_uncertainty_score":0.468929},"labels":[],"label_agreement":null},{"id":"W2159757276","doi":"10.1016/j.conb.2013.09.009","title":"The use and abuse of large-scale brain models","year":2013,"lang":"en","type":"review","venue":"Current Opinion in Neurobiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":165,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Scale (ratio); Neuroscience; Computer science; Cognitive science; Psychology; Risk analysis (engineering); Data science; Cognitive psychology; Business","score_opus":0.211757254667148,"score_gpt":0.37616555773931837,"score_spread":0.16440830307217036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159757276","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00083207013,0.9883568,0.00008477108,0.00010890286,0.009218853,0.0011574521,0.00018766406,0.000030548446,0.000022885508],"genre_scores_gemma":[0.00003814977,0.99949986,0.0000075942944,0.000069112066,0.00010701301,0.00011609645,0.00005195906,0.000029054658,0.00008114986],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973892,0.0008562464,0.00066093216,0.0006374805,0.00009112266,0.00036500808],"domain_scores_gemma":[0.9967428,0.002322334,0.000429245,0.0004180253,0.000030795396,0.000056808258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020740123,0.0003053404,0.0007414723,0.0001704952,0.00010992749,0.000060146038,0.0003828161,0.0001917886,0.0000045564498],"category_scores_gemma":[0.00035526024,0.00018834612,0.00016806427,0.0002954768,0.00025020516,0.00017618568,0.00021026886,0.0005677756,0.00001519225],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020324014,0.00029961526,0.000021567123,0.008271123,0.0000102893355,8.5361427e-7,0.00013055469,0.000067966306,0.0002386655,0.023811413,0.01113649,0.95599115],"study_design_scores_gemma":[0.00016401414,0.000070888455,0.000008476663,0.0014594131,0.000010775712,0.000029986331,0.000001861437,0.0023227218,0.0000034027264,0.00042495935,0.99533516,0.0001683102],"about_ca_topic_score_codex":0.000003733355,"about_ca_topic_score_gemma":0.0000029500982,"teacher_disagreement_score":0.9841987,"about_ca_system_score_codex":0.0000204712,"about_ca_system_score_gemma":0.000043063785,"threshold_uncertainty_score":0.7680532},"labels":[],"label_agreement":null},{"id":"W2160079066","doi":"10.1088/1741-2560/8/6/065009","title":"The neural optimal control hierarchy for motor control","year":2011,"lang":"en","type":"article","venue":"Journal of Neural Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Motor control; Computer science; Hierarchy; Neuroscience; Control (management); Motor system; Process (computing); Artificial intelligence; Basal ganglia; Machine learning; Psychology; Central nervous system","score_opus":0.023279387075624644,"score_gpt":0.2182474878568884,"score_spread":0.19496810078126375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160079066","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9562492,0.0001423534,0.038454782,0.0012750868,0.0033035586,0.00044358437,0.000023615616,0.000052846954,0.00005498222],"genre_scores_gemma":[0.99856484,0.000019258208,0.00035033523,0.00048218083,0.0004394503,0.000013186836,1.3797722e-7,0.000027973752,0.0001026451],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99879676,0.00004580677,0.00042723058,0.0001431021,0.00023636273,0.00035072482],"domain_scores_gemma":[0.99863225,0.0007684943,0.00024162924,0.00013086542,0.00009639581,0.00013035549],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002809746,0.00016038452,0.0002258698,0.00009700473,0.00017008283,0.00008042444,0.00034744357,0.000043028555,0.0000071347404],"category_scores_gemma":[0.0007618634,0.00010193784,0.0002562445,0.00010780626,0.000043361226,0.00032618697,0.000018690174,0.00033388825,0.0000017483893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010573656,0.000040548075,0.00006949678,0.000017655575,0.000029784416,0.00008319162,0.00006853929,0.051445857,0.9404244,0.0015105406,0.00016843918,0.005084203],"study_design_scores_gemma":[0.0020866047,0.0010128416,0.0020309289,0.00001282096,0.00003831869,0.00046391526,0.000011002554,0.9784258,0.013017928,0.00010232224,0.00264375,0.00015375021],"about_ca_topic_score_codex":0.000001411358,"about_ca_topic_score_gemma":3.13806e-7,"teacher_disagreement_score":0.92740643,"about_ca_system_score_codex":0.000032580727,"about_ca_system_score_gemma":0.000016868506,"threshold_uncertainty_score":0.41569045},"labels":[],"label_agreement":null},{"id":"W2160115430","doi":"10.1523/jneurosci.23-16-06520.2003","title":"Functional Connectivity of the Medial Temporal Lobe Relates to Learning and Awareness","year":2003,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":91,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Facilitation; Psychology; Neuroscience; Temporal lobe; Prefrontal cortex; Dorsolateral prefrontal cortex; Context (archaeology); Functional connectivity; Functional magnetic resonance imaging; Cognitive psychology; Temporal cortex; Sensory system; Neuroimaging; Occipital lobe; Cognition; Biology","score_opus":0.03828849999530895,"score_gpt":0.26996899859442997,"score_spread":0.23168049859912102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160115430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958459,0.000010821264,0.0008815127,0.000835748,0.0021678477,0.000071172,0.0000016873769,0.0000057509797,0.00017952434],"genre_scores_gemma":[0.9990934,0.000018400959,0.00004052425,0.00056333723,0.000045108853,6.7979727e-7,2.1389171e-8,0.0000057762663,0.00023274931],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986821,0.0002562166,0.00026579289,0.00020577663,0.00043686756,0.00015325117],"domain_scores_gemma":[0.9990209,0.00037330238,0.000329529,0.00008813379,0.00008779037,0.00010039548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052936893,0.00008616877,0.0001419192,0.000094445866,0.0002727429,0.000047320595,0.00019027888,0.000028886456,0.0000085957345],"category_scores_gemma":[0.0055383327,0.000055085726,0.00006660272,0.0005386067,0.0002257257,0.0002807532,0.00006981221,0.00030239936,9.392099e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003233841,0.000034486868,0.04547565,0.0000040173377,3.3246022e-7,0.0000073402634,0.00004099803,0.001241672,0.95164263,0.001232427,0.000059350437,0.0002287651],"study_design_scores_gemma":[0.0007755473,0.0011614809,0.50741357,0.0000686624,0.000018495863,0.001658377,0.00007971728,0.0029128941,0.47245276,0.0025346458,0.010694973,0.00022886583],"about_ca_topic_score_codex":0.0000029341063,"about_ca_topic_score_gemma":0.0000029999726,"teacher_disagreement_score":0.47918984,"about_ca_system_score_codex":0.000019218036,"about_ca_system_score_gemma":0.000114975424,"threshold_uncertainty_score":0.66303015},"labels":[],"label_agreement":null},{"id":"W2160248983","doi":"10.1162/neco_a_00633","title":"Influence of External Inputs and Asymmetry of Connections on Information-Geometric Measures Involving Up to Ten Neuronal Interactions","year":2014,"lang":"en","type":"article","venue":"Neural Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Alberta Innovates - Health Solutions; Alberta Innovates - Technology Futures","keywords":"Pairwise comparison; Asymmetry; Neuron; Measure (data warehouse); Property (philosophy); Artificial neural network; Relation (database); Estimator; Biological system; Mathematics; Nonlinear system; Computer science; Neuroscience; Statistics; Physics; Artificial intelligence; Psychology; Biology; Data mining","score_opus":0.023536563410379026,"score_gpt":0.2685366009475707,"score_spread":0.24500003753719168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160248983","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9808274,0.0000022859801,0.018034061,0.00031931733,0.00041483087,0.00017243679,0.000012909151,0.0000352216,0.00018156464],"genre_scores_gemma":[0.9985059,0.0000040602254,0.00015382767,0.0012781018,0.00002592287,0.0000064978294,0.000005003864,0.000006669109,0.000014021515],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989043,0.000114738315,0.00035662347,0.00018360213,0.00032372877,0.00011703581],"domain_scores_gemma":[0.9987204,0.00072138396,0.00024162166,0.00009954266,0.00014875119,0.00006832164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013513945,0.000106708816,0.00014616248,0.0006741962,0.00012369118,0.000049538477,0.00009957721,0.000029013201,0.0000025797872],"category_scores_gemma":[0.0013415451,0.00010043311,0.000038488637,0.000843916,0.000050954874,0.0006410948,0.00005645001,0.00015265078,0.000007308177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011865957,0.00005147544,0.0041103484,0.00006506171,0.000003820188,3.7654746e-7,0.00031277977,0.47833738,0.4646714,0.005304255,0.00007495239,0.046949487],"study_design_scores_gemma":[0.0006645272,0.0011917287,0.40485275,0.00012546901,0.000018684183,0.000039177343,0.000037420465,0.43315092,0.15783507,0.0015280002,0.00032115245,0.0002351004],"about_ca_topic_score_codex":0.000045666286,"about_ca_topic_score_gemma":0.0000074814106,"teacher_disagreement_score":0.40074238,"about_ca_system_score_codex":0.000023612904,"about_ca_system_score_gemma":0.0000131673905,"threshold_uncertainty_score":0.40955436},"labels":[],"label_agreement":null},{"id":"W2160538589","doi":"","title":"Manifold Embeddings for Model-Based Reinforcement Learning under Partial Observability","year":2009,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Observability; Reinforcement learning; Observable; Embedding; Computer science; Context (archaeology); Manifold (fluid mechanics); Artificial intelligence; State space; Nonlinear system; Nonlinear dimensionality reduction; Space (punctuation); Mathematics; Applied mathematics; Physics; Engineering","score_opus":0.05870984771643132,"score_gpt":0.29020776744930915,"score_spread":0.23149791973287784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160538589","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39728466,9.280971e-7,0.59600043,0.002343702,0.00015712221,0.00041450124,0.0000015824988,0.00018438317,0.003612673],"genre_scores_gemma":[0.98829335,0.0000012453133,0.0008225296,0.0067019323,0.00004060577,0.000019991663,0.0000063898524,0.000008890215,0.0041050827],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989671,0.000026078322,0.00019475071,0.00035792342,0.00018460435,0.0002695373],"domain_scores_gemma":[0.99955314,0.00012136133,0.0000609113,0.00016490929,0.000032681557,0.00006699372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017092875,0.00011627366,0.00010465061,0.000030606443,0.00020769438,0.000064307824,0.000111755035,0.0000472573,0.00006601377],"category_scores_gemma":[0.00017943305,0.00009818135,0.000094341005,0.00009811422,0.0000187167,0.00015551689,0.000016961843,0.00010447926,0.0000121102485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000885129,0.00004094233,0.000039724702,0.0000075563826,6.8697767e-7,5.239709e-7,0.000012209519,0.70944995,0.21573348,0.07341531,0.00019596439,0.0010151556],"study_design_scores_gemma":[0.0003800445,0.00030650105,0.00016434088,0.0000036897468,0.000005490293,6.342871e-7,0.000007091034,0.9024928,0.08919472,0.0065392223,0.00078576605,0.00011970609],"about_ca_topic_score_codex":0.0000051667607,"about_ca_topic_score_gemma":0.0000021519718,"teacher_disagreement_score":0.5951779,"about_ca_system_score_codex":0.000056677654,"about_ca_system_score_gemma":0.000027950542,"threshold_uncertainty_score":0.4003719},"labels":[],"label_agreement":null},{"id":"W2160637052","doi":"10.1093/cercor/bhn015","title":"Effects of Familiarity on Neural Activity in Monkey Inferior Temporal Lobe","year":2008,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":87,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Eye Institute; National Institute of Mental Health","keywords":"Stimulus (psychology); Local field potential; Temporal lobe; Visual cortex; Neuroscience; Temporal cortex; Psychology; Contrast (vision); Visual perception; Pattern recognition (psychology); Artificial intelligence; Perception; Computer science; Cognitive psychology","score_opus":0.02445203683098355,"score_gpt":0.24690837721426243,"score_spread":0.22245634038327888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160637052","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981969,0.0000057360403,0.000025026193,0.000117725926,0.00051487074,0.00035255638,0.000009731649,0.00005976831,0.00071765773],"genre_scores_gemma":[0.99895763,0.0000149693915,0.000012248508,0.00060434756,0.00004147351,0.000012082139,0.0000021931382,0.000016555114,0.00033849385],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986441,0.00015094256,0.00021129874,0.00042318887,0.00028407737,0.000286389],"domain_scores_gemma":[0.9992962,0.00024602274,0.00011819226,0.00023661501,0.00002083395,0.00008217474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000058824313,0.00018178411,0.00026640596,0.00012510044,0.00009416596,0.000012858315,0.00018274333,0.00008891302,0.000017078397],"category_scores_gemma":[0.0002926406,0.00016078021,0.000097077624,0.00041350676,0.00016617782,0.00023814931,0.00007898015,0.00032483053,0.000026163065],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029275724,0.00040428055,0.13262662,0.00007277072,0.000002220787,0.00017644875,0.000076515076,0.000057498106,0.8622498,0.0004825545,0.00016287099,0.0033956908],"study_design_scores_gemma":[0.0006787,0.00041179126,0.78478885,0.00001926638,0.000003328078,0.00001790125,0.0000024365359,0.012324197,0.20129645,0.00026400387,0.000040977528,0.00015211587],"about_ca_topic_score_codex":0.0004192582,"about_ca_topic_score_gemma":0.00008015965,"teacher_disagreement_score":0.6609533,"about_ca_system_score_codex":0.00006029043,"about_ca_system_score_gemma":0.00003937944,"threshold_uncertainty_score":0.6556427},"labels":[],"label_agreement":null},{"id":"W2160794767","doi":"10.1093/cercor/bhn184","title":"Spectrotemporal Receptive Fields in Anesthetized Cat Primary Auditory Cortex Are Context Dependent","year":2008,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Receptive field; Auditory cortex; Neuroscience; Natural sounds; Inhibitory postsynaptic potential; Excitatory postsynaptic potential; Context (archaeology); Psychology; Computer science; Speech recognition; Biology","score_opus":0.026863697729533037,"score_gpt":0.2300392893507352,"score_spread":0.20317559162120216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160794767","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917191,0.000054265663,0.000066946646,0.0005997265,0.0014292801,0.000493228,0.000018497143,0.00012864974,0.005490289],"genre_scores_gemma":[0.99193764,0.000097004944,0.000035945253,0.0026090909,0.00027391769,0.000032176013,0.000018673432,0.000032677188,0.0049628825],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9977959,0.00018586601,0.00038526425,0.00073318847,0.00044140656,0.00045837846],"domain_scores_gemma":[0.9990707,0.00013448058,0.0002117196,0.00039760635,0.00004655095,0.00013892517],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012847298,0.0002724682,0.00039974236,0.00014671223,0.00022190135,0.00003623834,0.00030623615,0.0001681967,0.00032266462],"category_scores_gemma":[0.0001253957,0.00025258635,0.000158504,0.00030749576,0.00020300264,0.00028232337,0.00010159252,0.00041710335,0.00022228072],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002712211,0.001601784,0.13574506,0.00017242428,0.000057908135,0.007017804,0.002439647,0.00019894289,0.7886349,0.004172137,0.034685913,0.022561276],"study_design_scores_gemma":[0.0037971616,0.00081269065,0.96464795,0.00008860335,0.000022639708,0.0010184669,0.0003350881,0.0021267873,0.017926132,0.0018682856,0.0063481526,0.0010080375],"about_ca_topic_score_codex":0.00021301208,"about_ca_topic_score_gemma":0.000482921,"teacher_disagreement_score":0.8289029,"about_ca_system_score_codex":0.00024207881,"about_ca_system_score_gemma":0.00011805974,"threshold_uncertainty_score":0.9999926},"labels":[],"label_agreement":null},{"id":"W2160872810","doi":"10.3389/neuro.12.002.2009","title":"Generating spatiotemporal joint torque patterns from dynamical synchronization of distributed pattern generators","year":2009,"lang":"en","type":"article","venue":"Frontiers in Neurorobotics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"NeuroDevNet","funders":"Exploratory Research for Advanced Technology","keywords":"Computer science; Synchronization (alternating current); Central pattern generator; Chaotic; Phase synchronization; Robotics; Motor control; Modular design; Control theory (sociology); Robot; Control engineering; Artificial intelligence; Rhythm; Control (management); Neuroscience; Engineering; Physics","score_opus":0.01686943147363332,"score_gpt":0.2234560190416763,"score_spread":0.206586587568043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160872810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5643194,0.0000125346305,0.4337293,0.0003740011,0.001227212,0.0001487766,0.00014229775,0.0000391472,0.0000073747874],"genre_scores_gemma":[0.9940202,0.00004712301,0.00457275,0.0009278029,0.00016084587,0.0000033474066,0.00022802543,0.000026608883,0.00001328955],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980519,0.00020707681,0.00058368687,0.0005174505,0.00032743847,0.00031247063],"domain_scores_gemma":[0.99924034,0.00005484796,0.00025658568,0.00031434724,0.000046098772,0.00008780794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000085921376,0.00022704738,0.000329694,0.00014423417,0.00008413463,0.000061574305,0.00021790284,0.00012438318,0.000014048821],"category_scores_gemma":[0.00027811204,0.00023065858,0.00008165858,0.00030709914,0.000059700382,0.0001943297,0.000054136388,0.00027589788,0.000001956691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056033306,0.00047856852,0.21485293,0.000048554477,0.000012052878,0.00017739038,0.00019994169,0.34437636,0.37754896,0.000297676,0.0018487236,0.060102817],"study_design_scores_gemma":[0.00043361,0.00017188383,0.047511734,0.00004090575,0.000012793681,0.000004545019,0.00001793932,0.9134691,0.037411045,0.0006743343,0.000020421054,0.00023170914],"about_ca_topic_score_codex":0.00007638419,"about_ca_topic_score_gemma":0.000034146316,"teacher_disagreement_score":0.5690927,"about_ca_system_score_codex":0.00013894113,"about_ca_system_score_gemma":0.00003690958,"threshold_uncertainty_score":0.94059837},"labels":[],"label_agreement":null},{"id":"W2161122692","doi":"10.1093/cercor/bht292","title":"Decoding Visual Object Categories in Early Somatosensory Cortex","year":2013,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of East Anglia","keywords":"Somatosensory system; Object (grammar); Sensory system; Psychology; Context (archaeology); Visual cortex; Decoding methods; Cognitive psychology; Neuroscience; Parietal lobe; Posterior parietal cortex; Communication; Computer science; Artificial intelligence; Biology","score_opus":0.019981943429896284,"score_gpt":0.25233081661806633,"score_spread":0.23234887318817005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161122692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944471,0.000013818449,0.000045535715,0.00018553612,0.0007991043,0.00036401305,0.0000043069635,0.0001493595,0.0039912267],"genre_scores_gemma":[0.9970639,0.0000135731825,0.000037062273,0.0008172477,0.000103212304,0.000035018842,0.0000052114347,0.000032580945,0.0018922362],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9982916,0.000097819284,0.00032533307,0.00053144654,0.0002634861,0.0004902925],"domain_scores_gemma":[0.9993401,0.0001711198,0.0001069652,0.00021942041,0.000039445637,0.0001229198],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008003192,0.00021453669,0.0002277936,0.00017076061,0.00017100273,0.00020333062,0.00021259632,0.00009725742,0.00033993085],"category_scores_gemma":[0.00018998951,0.0001934009,0.00008064975,0.00040599,0.00011849132,0.0006135548,0.000097456315,0.0002768487,0.00084636477],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003069531,0.00009567783,0.060829654,0.000023325249,0.000003980839,0.00006155282,0.00027804603,0.000011282579,0.92476493,0.0059229415,0.0005145496,0.007463353],"study_design_scores_gemma":[0.00073334895,0.00028120595,0.9248796,0.000028193026,0.000007954995,0.0000716938,0.00018789023,0.021798402,0.04513522,0.0061412696,0.0002455767,0.0004896261],"about_ca_topic_score_codex":0.00047422902,"about_ca_topic_score_gemma":0.00012577411,"teacher_disagreement_score":0.87962973,"about_ca_system_score_codex":0.00006881566,"about_ca_system_score_gemma":0.000042360156,"threshold_uncertainty_score":0.9999316},"labels":[],"label_agreement":null},{"id":"W2161152720","doi":"10.1016/s0928-4257(03)00007-x","title":"Oscillatory burst discharge generated through conditional backpropagation of dendritic spikes","year":2002,"lang":"en","type":"review","venue":"Journal of Physiology-Paris","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal General Hospital; University of Ottawa; University of Calgary","funders":"","keywords":"Soma; Backpropagation; Bursting; Dendritic spike; Neuroscience; Physics; Chemistry; Inhibitory postsynaptic potential; Biology; Computer science; Artificial neural network; Artificial intelligence; Excitatory postsynaptic potential","score_opus":0.06564658543692391,"score_gpt":0.3116150673590423,"score_spread":0.2459684819221184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161152720","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0059780744,0.98938835,0.00022381479,0.00011718448,0.0028751413,0.00048589683,0.00040528568,0.00002614118,0.00050012406],"genre_scores_gemma":[0.0059956405,0.99236125,0.00012872688,0.00016239035,0.0008255784,0.000009872683,0.00008061809,0.000042710897,0.00039320308],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970782,0.00048582762,0.0013108687,0.0003951616,0.0004406372,0.00028932074],"domain_scores_gemma":[0.9967221,0.0004223198,0.0022774038,0.0002552189,0.00023479281,0.00008813969],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020380947,0.0003755401,0.0015671669,0.0002413447,0.00012118185,0.000031496253,0.00037986066,0.0003163365,0.00037630956],"category_scores_gemma":[0.0002526408,0.0002699579,0.0007214276,0.0004226555,0.0002877057,0.00036119815,0.00007142772,0.0007397786,0.000074936055],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001132184,0.0012305104,0.000017723502,0.01408051,0.0004052355,0.00011377619,0.0001107538,0.00043707568,0.86663455,0.0089225825,0.04604908,0.061885],"study_design_scores_gemma":[0.0007857654,0.00096383947,0.00012120353,0.005032634,0.000868327,0.0009386082,0.000015651229,0.00062667544,0.0053253095,0.004100157,0.98048323,0.0007385849],"about_ca_topic_score_codex":0.00000362759,"about_ca_topic_score_gemma":4.699752e-7,"teacher_disagreement_score":0.9344342,"about_ca_system_score_codex":0.000119917975,"about_ca_system_score_gemma":0.00017406588,"threshold_uncertainty_score":0.99997526},"labels":[],"label_agreement":null},{"id":"W2161205205","doi":"10.1152/jn.00138.2015","title":"Counting on dis-inhibition: a circuit motif for interval counting and selectivity in the anuran auditory system","year":2015,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Inferior colliculus; Neuroscience; Millisecond; Interval (graph theory); Auditory system; Computer science; Biological system; Physics; Biology; Mathematics","score_opus":0.050757221113494864,"score_gpt":0.2626261162213084,"score_spread":0.2118688951078135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161205205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973139,0.0000042642278,0.00034719316,0.00052400364,0.001490409,0.00015746804,0.0000048896436,0.000010452585,0.00014741298],"genre_scores_gemma":[0.9981648,0.0000049065957,0.000008420759,0.0010166701,0.0007778137,0.0000047858894,4.1707239e-7,0.000011128936,0.000011111793],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99875724,0.00035859388,0.0003024118,0.00020080511,0.00020067385,0.00018027135],"domain_scores_gemma":[0.9986614,0.00076046016,0.0003390143,0.000094260635,0.00010206812,0.000042815973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034335887,0.00010486817,0.00022045446,0.000098330216,0.0001142759,0.000053248514,0.00013316663,0.00004239787,5.444911e-7],"category_scores_gemma":[0.00078231917,0.000069705704,0.00006736654,0.00015222836,0.000072476876,0.0001787715,0.000027037957,0.00032962955,0.000002000332],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035180716,0.000101097736,0.00013739406,0.00006973851,0.0000038477497,0.00014533827,0.00027523813,0.0012997856,0.99453795,0.0017531915,0.00031817236,0.0010064277],"study_design_scores_gemma":[0.018294636,0.03951032,0.36686122,0.0017627137,0.00026059398,0.01804773,0.004332684,0.46749127,0.042995535,0.025794065,0.012711269,0.0019379546],"about_ca_topic_score_codex":0.000004106207,"about_ca_topic_score_gemma":0.000001847852,"teacher_disagreement_score":0.95154244,"about_ca_system_score_codex":0.00006527338,"about_ca_system_score_gemma":0.00003704405,"threshold_uncertainty_score":0.2842516},"labels":[],"label_agreement":null},{"id":"W2161520815","doi":"10.1371/journal.pone.0013330","title":"Neural Coding of Movement Direction in the Healthy Human Brain","year":2010,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Canadian Institutes of Health Research; Dalhousie University; Nova Scotia Health Research Foundation; Dalhousie Medical Research Foundation","keywords":"Neuroscience; Functional magnetic resonance imaging; SMA*; Neurophysiology; Cerebellum; Supplementary motor area; Primary motor cortex; Motor cortex; Dorsolateral prefrontal cortex; Posterior parietal cortex; Psychology; Prefrontal cortex; Biology; Computer science; Cognition","score_opus":0.0710330463102701,"score_gpt":0.2768695870338695,"score_spread":0.2058365407235994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161520815","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99381757,0.000001649525,0.0000040257473,0.0046495795,0.0001429763,0.0002182139,0.0000032224527,0.000020759531,0.0011419972],"genre_scores_gemma":[0.99634534,0.0000053162785,0.000021076636,0.0033786397,0.00006552504,0.00001552496,0.0000015381128,0.0000058261667,0.00016122573],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992551,0.00008284421,0.00014955438,0.00015260682,0.00023615401,0.00012373878],"domain_scores_gemma":[0.9995772,0.00016968146,0.00006901482,0.00015145875,0.000012977902,0.000019628716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024885396,0.000053263553,0.00008236569,0.000058267276,0.0001006437,0.000019902493,0.00012129424,0.000024836447,0.000024907897],"category_scores_gemma":[0.00022157512,0.00003968807,0.000021147318,0.00018238484,0.000037537957,0.00007521015,0.00002280097,0.00022283122,0.0000035974201],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012817528,0.0004213569,0.001985781,0.000020201787,0.0000010524444,0.0000013308593,0.000107286214,0.000004023593,0.991976,0.005050864,0.000040872277,0.0003784175],"study_design_scores_gemma":[0.00076855166,0.00075260137,0.17525038,0.00005478297,0.000014376855,0.0000038897433,0.00007045733,0.02463005,0.7943731,0.0037422592,0.00015560616,0.00018393231],"about_ca_topic_score_codex":0.00007993804,"about_ca_topic_score_gemma":0.00026282982,"teacher_disagreement_score":0.19760288,"about_ca_system_score_codex":0.000012048437,"about_ca_system_score_gemma":0.0000053226017,"threshold_uncertainty_score":0.16184326},"labels":[],"label_agreement":null},{"id":"W2161552015","doi":"10.1007/s10439-011-0281-x","title":"Complexity in Neuronal Noise Depends on Network Interconnectivity","year":2011,"lang":"en","type":"article","venue":"Annals of Biomedical Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Toronto Western Hospital","funders":"Canadian Institutes of Health Research","keywords":"Interconnectivity; Neuroscience; Excitatory postsynaptic potential; Gap junction; Hippocampal formation; Inhibitory postsynaptic potential; Biology; Noise (video); Pyramidal cell; Biological system; Physics; Computer science; Cell biology; Intracellular; Artificial intelligence","score_opus":0.15136240274115373,"score_gpt":0.29101328905749463,"score_spread":0.1396508863163409,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161552015","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955785,0.000006062627,0.0025264334,0.00037114994,0.00053312076,0.00006795451,0.000008757946,0.000050700542,0.0008573016],"genre_scores_gemma":[0.9990521,0.0000143125935,0.00016354142,0.0006643877,0.000079498626,0.000004209412,0.000001911406,0.000010906727,0.000009112395],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903715,0.000041615116,0.00021094145,0.00023232326,0.00020641903,0.00027154025],"domain_scores_gemma":[0.99950105,0.00020514129,0.000044136417,0.00013260059,0.000012107262,0.00010495847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024050548,0.000105591054,0.00016028844,0.00012994466,0.00002092462,0.000005920688,0.00016138658,0.00005547555,0.000070808],"category_scores_gemma":[0.00045722103,0.00009565952,0.000059907445,0.0003498116,0.000084902895,0.0000820289,0.00006817617,0.00022047678,0.0000097657885],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007297802,0.0018398061,0.0024616632,0.00021979847,0.000027727667,0.0003105225,0.0004246543,0.008757746,0.805057,0.12000065,0.0014376874,0.05873299],"study_design_scores_gemma":[0.0011194837,0.001972988,0.28052762,0.00036236848,0.000007629823,0.000042098556,0.000012108884,0.3996168,0.303998,0.007893351,0.00375741,0.000690124],"about_ca_topic_score_codex":0.000039570466,"about_ca_topic_score_gemma":0.000007710222,"teacher_disagreement_score":0.501059,"about_ca_system_score_codex":0.000008019976,"about_ca_system_score_gemma":0.000010701213,"threshold_uncertainty_score":0.3900882},"labels":[],"label_agreement":null},{"id":"W2161624841","doi":"10.1109/iembs.1995.579798","title":"Transmembrane voltage oscillations in CA3 neurons","year":2002,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Oscillation (cell signaling); Coupling (piping); Physics; Voltage; Control theory (sociology); Neuroscience; Topology (electrical circuits); Computer science; Chemistry; Materials science; Biology; Electrical engineering; Engineering; Quantum mechanics","score_opus":0.041969938647099324,"score_gpt":0.23711318406572499,"score_spread":0.19514324541862565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161624841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8865158,0.000008413885,0.0010893769,0.0033507068,0.00037588182,0.00019887225,0.000010352582,0.00013400655,0.10831656],"genre_scores_gemma":[0.98628604,0.000039152485,0.00002116793,0.0015977975,0.000023321469,0.00000572637,7.4914107e-7,0.000008889559,0.012017142],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929667,0.00003164037,0.00013107689,0.00024242663,0.0001221968,0.00017597615],"domain_scores_gemma":[0.99967664,0.00011840131,0.00001685012,0.00013691906,0.0000058744336,0.000045321696],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000036007128,0.00007346983,0.00006992904,0.00009684016,0.0000777027,0.000029884644,0.00008999302,0.000028857563,0.0011478462],"category_scores_gemma":[0.00008790014,0.00006355548,0.000035452118,0.0003785671,0.00003409211,0.00014768704,0.0000115569255,0.00011072691,0.00020825843],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000049252585,0.000115839895,0.00072655134,0.0000063073794,4.6354754e-7,0.00003894694,0.00011921623,0.0009800899,0.97246283,0.016304256,0.001110147,0.008130418],"study_design_scores_gemma":[0.0015270341,0.00024468236,0.02755693,0.000015489626,0.000009091427,0.000097806624,0.000038925915,0.8367553,0.0667533,0.0029630784,0.0634507,0.00058766064],"about_ca_topic_score_codex":0.00003340119,"about_ca_topic_score_gemma":0.00014765451,"teacher_disagreement_score":0.90570956,"about_ca_system_score_codex":0.000013949159,"about_ca_system_score_gemma":0.0000030861338,"threshold_uncertainty_score":0.9997652},"labels":[],"label_agreement":null},{"id":"W2162259821","doi":"10.1093/cercor/bhq057","title":"Saccadic Preparation in the Frontal Eye Field Is Modulated by Distinct Trial History Effects as Revealed by Magnetoencephalography","year":2010,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Center for Research Resources; National Institute on Drug Abuse; National Institute of Mental Health; Canadian Institutes of Health Research","keywords":"Antisaccade task; Magnetoencephalography; Saccadic masking; Neuroscience; Context (archaeology); Psychology; Prefrontal cortex; Anterior cingulate cortex; Eye movement; Cognitive psychology; Cognition; Biology; Electroencephalography","score_opus":0.008068775110582158,"score_gpt":0.24240429163608257,"score_spread":0.23433551652550041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162259821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933219,0.00006332681,0.00003982311,0.00053526857,0.0021234588,0.00090890145,0.000022905151,0.00006387798,0.00292053],"genre_scores_gemma":[0.9938096,0.000008951905,0.00000975458,0.0035638283,0.00012151745,0.00007164544,0.00005035189,0.000015105135,0.0023492626],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99842757,0.00021003482,0.00026723166,0.0005129156,0.0003059886,0.00027625327],"domain_scores_gemma":[0.99914056,0.00029646102,0.00013500419,0.0003411574,0.00001646424,0.00007036981],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017900637,0.00018981616,0.00017957523,0.0000739606,0.00012991054,0.00005933644,0.0003360446,0.00015627885,0.00040111906],"category_scores_gemma":[0.00034613913,0.00014320266,0.00011005228,0.00024067561,0.00010671834,0.00023541224,0.000034181507,0.00047101572,0.000051524188],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019975472,0.00018213464,0.0025505982,0.000013849445,0.0000032384828,0.000014184034,0.00026127903,4.392141e-7,0.885546,0.00019041137,0.10666174,0.0025785519],"study_design_scores_gemma":[0.086039715,0.022375287,0.375015,0.00014594132,0.00029094875,0.00018566195,0.00012730293,0.057350226,0.19226988,0.014149725,0.24822094,0.0038293693],"about_ca_topic_score_codex":0.00033111684,"about_ca_topic_score_gemma":0.00016429776,"teacher_disagreement_score":0.69327617,"about_ca_system_score_codex":0.000052940246,"about_ca_system_score_gemma":0.000029560551,"threshold_uncertainty_score":0.5839635},"labels":[],"label_agreement":null},{"id":"W2162894485","doi":"10.1016/j.heares.2010.11.008","title":"Neuronal responses in chinchilla auditory cortex after postnatal exposure to frequency-modulated tones","year":2010,"lang":"en","type":"article","venue":"Hearing Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Hospital for Sick Children","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Chinchilla; Auditory cortex; Stimulus (psychology); Audiology; Inferior colliculus; Analysis of variance; Electrophysiology; Cerebral cortex; Neuroscience; Biology; Psychology; Medicine; Internal medicine; Anatomy","score_opus":0.05303243042760078,"score_gpt":0.34933253184784635,"score_spread":0.29630010142024554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162894485","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959373,0.000009586092,0.0000025028703,0.0017177181,0.0011469326,0.0003608824,0.000021012558,0.000068450936,0.0007356054],"genre_scores_gemma":[0.99748474,0.0000069482626,0.00007603002,0.0003596249,0.0003039173,0.000057033394,0.0000026845005,0.000031699645,0.0016773206],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9973006,0.00037134616,0.00023296074,0.00065743626,0.0007941561,0.00064349],"domain_scores_gemma":[0.9985801,0.00064559863,0.00002278305,0.00044883694,0.00009443744,0.00020825396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092161633,0.00014237234,0.00014066033,0.00056149735,0.00023682058,0.00015078591,0.00033226382,0.00011807615,0.00021106517],"category_scores_gemma":[0.002238445,0.00013113233,0.000045734887,0.000775269,0.00016749607,0.00019209896,0.00029862273,0.0013459359,0.00024839625],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037073123,0.00006716365,0.017865468,0.000011763776,8.9998343e-7,0.00036500962,0.00013550007,0.000022872397,0.9797273,0.00031273163,0.00017771382,0.00094279053],"study_design_scores_gemma":[0.0002385951,0.00033977506,0.9626784,0.000027318154,6.370305e-7,0.00008858404,0.000012784675,0.0006591741,0.034613878,0.00044376065,0.0007446312,0.00015246995],"about_ca_topic_score_codex":0.00040456478,"about_ca_topic_score_gemma":0.0006000404,"teacher_disagreement_score":0.9451135,"about_ca_system_score_codex":0.000057638597,"about_ca_system_score_gemma":0.00013391704,"threshold_uncertainty_score":0.58474964},"labels":[],"label_agreement":null},{"id":"W2163193833","doi":"10.1093/cercor/bhj008","title":"Synaptic Plasticity in Local Cortical Network In Vivo and Its Modulation by the Level of Neuronal Activity","year":2005,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Institute of Neurological Disorders and Stroke; Université Laval; National Sleep Foundation","keywords":"Neuroscience; Long-term potentiation; Nonsynaptic plasticity; Synaptic plasticity; Premovement neuronal activity; Postsynaptic potential; Memory consolidation; Neuroplasticity; NMDA receptor; Synaptic fatigue; Psychology; Stimulus (psychology); Metaplasticity; Biology; Hippocampus; Excitatory postsynaptic potential; Receptor; Inhibitory postsynaptic potential","score_opus":0.04445138152994319,"score_gpt":0.2569432463065179,"score_spread":0.2124918647765747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163193833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971843,0.00000784514,0.0019798272,0.00040021827,0.00011244922,0.00017725633,0.000022491178,0.000011082442,0.00010457027],"genre_scores_gemma":[0.9995573,0.0000065995096,0.00000841095,0.00030020264,0.000045832207,0.000005159962,9.524139e-7,0.000007963568,0.00006753726],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989786,0.0001396643,0.00019961115,0.00027537486,0.00017994405,0.00022678125],"domain_scores_gemma":[0.9994027,0.00039510807,0.0000677255,0.00007765269,0.00001203466,0.00004475927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010401747,0.00010217855,0.00013977733,0.000035747664,0.000064287044,0.000016359669,0.00009451387,0.000058550253,0.000035922385],"category_scores_gemma":[0.00018835126,0.00007919041,0.000023336028,0.0002329934,0.00011751427,0.0001776712,0.00006479228,0.00027098853,0.0000035776548],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003599688,0.0002407856,0.015782284,0.000022523578,0.0000044353988,0.000007770218,0.0000620728,0.031244569,0.9285731,0.0058821775,0.0002778508,0.01754247],"study_design_scores_gemma":[0.00026478167,0.0000715106,0.35139284,0.000008475448,0.000002784287,0.000008054394,0.0000028984703,0.6393471,0.008617452,0.00020203154,0.000021580096,0.000060481812],"about_ca_topic_score_codex":0.000046850175,"about_ca_topic_score_gemma":0.000463303,"teacher_disagreement_score":0.9199556,"about_ca_system_score_codex":0.00004354208,"about_ca_system_score_gemma":0.000018918823,"threshold_uncertainty_score":0.3229291},"labels":[],"label_agreement":null},{"id":"W2163224984","doi":"10.7551/mitpress/1120.003.0042","title":"Effective Size of Receptive Fields of Inferior Temporal Visual Cortex Neurons in Natural Scenes","year":2002,"lang":"en","type":"book-chapter","venue":"The MIT Press eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Receptive field; Computer vision; Artificial intelligence; Computer science; Stimulus (psychology); Surround suppression; Visual cortex; Object (grammar); Communication; Pattern recognition (psychology); Psychology; Neuroscience; Visual perception; Cognitive psychology; Perception","score_opus":0.026736634285564463,"score_gpt":0.25710767940811585,"score_spread":0.23037104512255138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163224984","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41197553,0.00027028366,0.0000174203,0.00009692966,0.0017742199,0.0028537363,0.00018341541,0.00008605952,0.5827424],"genre_scores_gemma":[0.8144041,0.00004525491,0.0000058694395,0.00014420715,0.00006649657,0.000024902658,0.0000023479327,0.000036292764,0.18527055],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984319,0.00015966753,0.00044269016,0.00042431924,0.00032692627,0.00021449341],"domain_scores_gemma":[0.9978808,0.001201591,0.00045773663,0.000352929,0.00007014144,0.000036788606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012346561,0.00031561978,0.0004963744,0.00009828764,0.000061025527,0.000019981097,0.0003692523,0.00022705879,0.0000499382],"category_scores_gemma":[0.0002313818,0.0002283025,0.0001963672,0.000021111957,0.00043761384,0.000052372532,0.00021934131,0.00070601987,0.000004260465],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033391365,0.00039958823,0.00031295195,0.0010118999,0.00027783724,0.00024821877,0.0045954506,0.00016546925,0.69365895,0.17370607,0.0010894121,0.121194996],"study_design_scores_gemma":[0.007861717,0.008881179,0.023967944,0.004286239,0.0009956545,0.00022694517,0.000093038114,0.020488523,0.8286349,0.047572233,0.05260851,0.0043831207],"about_ca_topic_score_codex":0.00019045544,"about_ca_topic_score_gemma":0.00008311567,"teacher_disagreement_score":0.40242854,"about_ca_system_score_codex":0.000030054192,"about_ca_system_score_gemma":0.000024447096,"threshold_uncertainty_score":0.9309905},"labels":[],"label_agreement":null},{"id":"W2163232237","doi":"10.1016/s0278-2626(03)00283-5","title":"Charting the maturation of the frontal lobe: An electrophysiological strategy","year":2004,"lang":"en","type":"review","venue":"Brain and Cognition","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":250,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Child Health and Human Development; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Brock University","keywords":"Psychology; Frontal lobe; Novelty; Prefrontal cortex; Electrophysiology; Error-related negativity; Anterior cingulate cortex; Neuroscience; Negativity effect; Orbitofrontal cortex; Event-related potential; Cognitive psychology; P3a; Electroencephalography; Developmental psychology; Cognition","score_opus":0.05905649369923921,"score_gpt":0.3030881653541315,"score_spread":0.2440316716548923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163232237","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.045936044,0.9442933,0.00027261814,0.0011465042,0.0011510313,0.0041038967,0.00025901146,0.00017255731,0.0026649886],"genre_scores_gemma":[0.20646921,0.79221743,0.0000057545244,0.0007583829,0.00023854534,0.00005760867,0.00010845007,0.00002114538,0.0001234771],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988682,0.00033536198,0.00024014105,0.0002766728,0.0001460809,0.00013351094],"domain_scores_gemma":[0.99938107,0.00017367267,0.0002640714,0.00013737494,0.00002062465,0.000023184584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000117406154,0.00015698593,0.00025667273,0.000024826997,0.00023503845,0.00006481186,0.00014142571,0.00011827248,0.000017130344],"category_scores_gemma":[0.000161169,0.00007432153,0.0001288148,0.00017426712,0.000119027885,0.00010440672,0.000039748058,0.0002768284,0.0000053868152],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002353802,0.00004813233,6.6952076e-8,0.0008828913,0.000005309814,0.0000018463315,0.000018352008,0.0000028018846,0.031246485,0.0069124955,0.000029010364,0.9608291],"study_design_scores_gemma":[0.005428972,0.012441349,0.004739449,0.047498632,0.003944154,0.0037041504,0.000871445,0.013689287,0.027772125,0.33716467,0.5364512,0.0062945774],"about_ca_topic_score_codex":0.000004888787,"about_ca_topic_score_gemma":0.000004649755,"teacher_disagreement_score":0.9545345,"about_ca_system_score_codex":0.000021113086,"about_ca_system_score_gemma":0.000048632584,"threshold_uncertainty_score":0.3030744},"labels":[],"label_agreement":null},{"id":"W2163331567","doi":"10.2217/bmm.11.74","title":"High-frequency Oscillations and Other Electrophysiological Biomarkers of Epilepsy: Clinical Studies","year":2011,"lang":"en","type":"review","venue":"Biomarkers in Medicine","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":186,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"National Institute of Neurological Disorders and Stroke; Canadian Institutes of Health Research","keywords":"Ictal; Epilepsy; Medicine; Electroencephalography; Neuroscience; Electrophysiology; Biomarker; Epilepsy surgery; Internal medicine; Psychology; Psychiatry; Biology","score_opus":0.21457561895651928,"score_gpt":0.41603683897084487,"score_spread":0.2014612200143256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163331567","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003048047,0.9935555,0.000014053469,0.00014349252,0.0015574718,0.00082449784,0.00004408578,0.000044982065,0.00076790823],"genre_scores_gemma":[0.0017145134,0.997325,0.0002984386,0.0002856533,0.0002240818,0.000047185673,0.00001360579,0.00003728331,0.00005426245],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9960975,0.00095532765,0.0014828967,0.000872692,0.0002488644,0.00034273064],"domain_scores_gemma":[0.9965716,0.0020971186,0.00073276577,0.00043620923,0.000048921942,0.00011338794],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011254128,0.00043519842,0.0021898316,0.00045442482,0.0000787513,0.000005909536,0.00033213987,0.00037246724,0.00008208359],"category_scores_gemma":[0.0032745937,0.0002646345,0.000244509,0.0009248174,0.0017875698,0.000053116233,0.00013668841,0.00038890186,0.000009485764],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002011678,0.00021167516,0.00080903043,0.005006932,0.0006357426,0.00006593703,0.000062036874,8.254261e-8,0.0027895141,0.007836293,0.0023756588,0.9800059],"study_design_scores_gemma":[0.003601378,0.0057076253,0.0044606104,0.030878782,0.0022837764,0.00024930094,0.00016624165,0.000076617354,0.000067915986,0.017990576,0.9326072,0.0019099832],"about_ca_topic_score_codex":0.00006576536,"about_ca_topic_score_gemma":0.000014027937,"teacher_disagreement_score":0.97809595,"about_ca_system_score_codex":0.00007366959,"about_ca_system_score_gemma":0.00008093155,"threshold_uncertainty_score":0.99998057},"labels":[],"label_agreement":null},{"id":"W2163628294","doi":"10.1016/j.jneumeth.2007.09.020","title":"A dichoptic projection system for visual psychophysics in fMRI scanners","year":2007,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Computer science; Scanner; Computer vision; Psychophysics; Artificial intelligence; Stimulus (psychology); Projection (relational algebra); Neuroscience; Perception; Psychology; Cognitive psychology; Algorithm","score_opus":0.06813300792274632,"score_gpt":0.42808240985226104,"score_spread":0.35994940192951475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163628294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6175404,0.0000073364217,0.37705728,0.00019892101,0.004614042,0.0002787416,0.0000012778168,0.000021147494,0.00028083415],"genre_scores_gemma":[0.9762276,0.000014787026,0.022768378,0.0005737438,0.00028500534,0.000006392646,8.369239e-8,0.000019437135,0.000104585444],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977515,0.00035208248,0.0006628105,0.00036111323,0.0004665271,0.0004059884],"domain_scores_gemma":[0.9982219,0.00082108326,0.0005723372,0.00013250645,0.00011681325,0.00013537679],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038565001,0.00014657638,0.00026798405,0.0005392201,0.0001706618,0.0001018299,0.00033560276,0.000059365346,5.514164e-7],"category_scores_gemma":[0.002084243,0.000119590426,0.0001612296,0.0014607459,0.0001316304,0.00056015607,0.00003304172,0.00033072426,8.127752e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002167749,0.00010274498,0.00016296469,0.000030372978,5.309193e-7,0.000036221867,0.000060869774,0.0003893182,0.9637438,0.000586622,0.000019016188,0.03465078],"study_design_scores_gemma":[0.0020046262,0.0032255573,0.016662888,0.000185634,0.00003308023,0.0015093867,0.00040218374,0.1630203,0.8078151,0.0018590521,0.0028564718,0.00042573552],"about_ca_topic_score_codex":0.0000037706207,"about_ca_topic_score_gemma":0.000002256438,"teacher_disagreement_score":0.35868716,"about_ca_system_score_codex":0.00016943991,"about_ca_system_score_gemma":0.000091992595,"threshold_uncertainty_score":0.4876756},"labels":[],"label_agreement":null},{"id":"W2163793309","doi":"10.1002/hbm.23006","title":"Evidence that smooth pursuit velocity, not eye position, modulates alpha and beta oscillations in human middle temporal cortex","year":2015,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Smooth pursuit; BETA (programming language); Eccentricity (behavior); Eye movement; Alpha (finance); Beta Rhythm; Physics; Amplitude; Neuroscience; Position (finance); Psychology; Electroencephalography; Optics; Developmental psychology; Computer science","score_opus":0.17496880655694483,"score_gpt":0.3110550413826416,"score_spread":0.1360862348256968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163793309","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934403,0.0000673466,0.0005648755,0.0044170707,0.00019859227,0.0004044166,0.000012930017,0.00012402696,0.0007704861],"genre_scores_gemma":[0.99677783,0.000009680555,0.00012054851,0.0018367812,0.00010783544,0.000020822017,0.00002591534,0.000027676222,0.0010729063],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99792045,0.00020493749,0.0003618811,0.00066147797,0.00047042198,0.0003808334],"domain_scores_gemma":[0.9989797,0.00025647593,0.0002239764,0.0003127195,0.000064019456,0.00016311897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069588656,0.00022771067,0.000243122,0.00029976317,0.0006272106,0.00032641794,0.00029420227,0.00009477183,0.000032329794],"category_scores_gemma":[0.0003990687,0.00023622686,0.00005579204,0.00039766182,0.00021288745,0.0007037786,0.00022287114,0.0002524078,0.00001671797],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010932723,0.000055138516,0.057239447,0.000042090178,0.000004084247,0.000031864394,0.00089193,0.00017979549,0.9316318,0.008749557,0.00074005633,0.00042328486],"study_design_scores_gemma":[0.0007903123,0.00019013019,0.96543884,0.0003958996,0.0000101017495,0.00002385584,0.00024053078,0.012121012,0.0026132546,0.016497359,0.0011970283,0.00048167765],"about_ca_topic_score_codex":0.00022743175,"about_ca_topic_score_gemma":0.00032624608,"teacher_disagreement_score":0.92901856,"about_ca_system_score_codex":0.00013233778,"about_ca_system_score_gemma":0.00003836654,"threshold_uncertainty_score":0.9633052},"labels":[],"label_agreement":null},{"id":"W2163894214","doi":"10.1523/jneurosci.1046-05.2005","title":"Enhanced Synchrony in Epileptiform Activity? Local versus Distant Phase Synchronization in Generalized Seizures","year":2005,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":187,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Toronto Western Hospital; Hospital for Sick Children","funders":"","keywords":"Ictal; Neuroscience; Epilepsy; Psychology; Electroencephalography; Temporal lobe; Inhibitory postsynaptic potential","score_opus":0.030749092093218175,"score_gpt":0.30817505227659436,"score_spread":0.2774259601833762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163894214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9623964,0.000020982556,0.035039924,0.00066224975,0.0015746104,0.00014980712,0.000004262917,0.00001381716,0.00013794495],"genre_scores_gemma":[0.9989506,0.0001503813,0.00008447295,0.0006132722,0.00013142485,0.000003726398,2.7322181e-7,0.000013539598,0.000052319272],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99795765,0.00016682388,0.0005351854,0.00037597975,0.000583121,0.00038124248],"domain_scores_gemma":[0.99905473,0.00020968371,0.00039584865,0.00016528716,0.000050108854,0.0001243208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038628673,0.0001686087,0.00026070283,0.00038363272,0.00010015936,0.00009608513,0.00038970113,0.00005708289,0.000019118414],"category_scores_gemma":[0.0008842206,0.00014293306,0.00007859171,0.0010582774,0.00021148795,0.0012755442,0.000063840045,0.0003944303,0.0000056244435],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005351655,0.00040957608,0.000048813283,0.00000697881,3.666075e-7,0.00014079506,0.00007973484,0.022521915,0.92924213,0.00033571396,0.000023944773,0.04665488],"study_design_scores_gemma":[0.0070324037,0.0016210729,0.0050537493,0.00007994822,0.000007511047,0.00024422593,0.000031429718,0.57567495,0.40851122,0.00015968975,0.0012916346,0.00029216128],"about_ca_topic_score_codex":0.000011339822,"about_ca_topic_score_gemma":0.00012446611,"teacher_disagreement_score":0.55315304,"about_ca_system_score_codex":0.00038478186,"about_ca_system_score_gemma":0.00015109307,"threshold_uncertainty_score":0.5828641},"labels":[],"label_agreement":null},{"id":"W2163924767","doi":"10.1007/s10071-006-0023-x","title":"Movement characteristics support a role for dead reckoning in organizing exploratory behavior","year":2006,"lang":"en","type":"article","venue":"Animal Cognition","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Movement (music); Exploratory research; Curvature; Computer science; Simulation; Artificial intelligence; Psychology; Mathematics; Art; Geometry; Sociology; Aesthetics","score_opus":0.036044267614242675,"score_gpt":0.2565422042782619,"score_spread":0.22049793666401923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163924767","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983176,0.0000024555338,0.0003277518,0.000064176966,0.0001492394,0.00038629156,0.00005104173,0.000060334514,0.0006410879],"genre_scores_gemma":[0.9986331,0.000005231568,0.0001278716,0.00070458296,0.0001357877,0.00016403466,0.00011796912,0.000022483562,0.00008892367],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991277,0.000029038181,0.00022645522,0.00027234067,0.00013061512,0.00021385163],"domain_scores_gemma":[0.99970204,0.00006260755,0.000091045426,0.00006256007,0.00005477515,0.000026970089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012039116,0.00010054002,0.00009888652,0.000085722655,0.0001148815,0.00006797979,0.00005299555,0.000047218608,0.000038497587],"category_scores_gemma":[0.00010041244,0.00010955475,0.000033656903,0.00015782272,0.00001893046,0.00030619602,0.00002523577,0.00008860122,0.00003141964],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007644387,0.00012288174,0.00383191,0.000010475007,4.831478e-7,0.000019297162,0.00003363741,7.545017e-7,0.9926064,0.0009037588,0.000051219038,0.0023427426],"study_design_scores_gemma":[0.0010149559,0.00082023913,0.16615164,0.000050903254,0.000041625655,0.000014978618,0.00020491489,0.0022141307,0.82583624,0.0024279293,0.0008713454,0.00035112645],"about_ca_topic_score_codex":0.000015228375,"about_ca_topic_score_gemma":0.000045037556,"teacher_disagreement_score":0.16677019,"about_ca_system_score_codex":0.000046911115,"about_ca_system_score_gemma":0.00002133831,"threshold_uncertainty_score":0.4467513},"labels":[],"label_agreement":null},{"id":"W2164236564","doi":"10.1186/1471-2202-12-s1-p82","title":"Attracting states in frontal cortex networks associated with working memory and decision making","year":2011,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft","keywords":"Working memory; Frontal cortex; Neuroscience; Psychology; Computer science; Cognitive psychology; Cognitive science; Cognition","score_opus":0.06702311176232831,"score_gpt":0.2627456994517446,"score_spread":0.19572258768941628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164236564","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9875833,0.00001560177,0.010728364,0.000007195512,0.00062066695,0.00020307075,0.0000017660275,0.000077948964,0.00076212495],"genre_scores_gemma":[0.9986604,0.000024240371,0.0005890086,0.00062855455,0.000021501475,0.000007886265,5.129587e-7,0.000020321406,0.000047599133],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99814355,0.000113466784,0.00024361115,0.0007197212,0.00033194153,0.0004476924],"domain_scores_gemma":[0.99874634,0.0007872883,0.00019238533,0.00017889023,0.000017037648,0.000078036464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003818444,0.00017237241,0.00016186107,0.00013301295,0.00030043285,0.00014156537,0.00025116192,0.00005695287,0.000008423411],"category_scores_gemma":[0.0008653979,0.00014288376,0.000025287407,0.00069387624,0.00021882117,0.00045676256,0.00013933104,0.00032275968,0.0000017143012],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007029231,0.00038591278,0.5998425,0.000017261626,0.0000015125164,0.0006578227,0.00094030536,0.01673908,0.3110391,0.0006406134,0.000027690212,0.06900532],"study_design_scores_gemma":[0.00038094152,0.00018305796,0.6038159,0.00017954803,0.00000445573,0.000081353224,0.00008478649,0.3926703,0.0018809588,0.00047890216,0.000010240273,0.00022954657],"about_ca_topic_score_codex":0.000026985896,"about_ca_topic_score_gemma":0.00032098335,"teacher_disagreement_score":0.37593123,"about_ca_system_score_codex":0.000045639372,"about_ca_system_score_gemma":0.000028907218,"threshold_uncertainty_score":0.58266306},"labels":[],"label_agreement":null},{"id":"W2164312081","doi":"10.1007/s00221-011-2639-6","title":"Erratum to: Nonrenewal spike train statistics: causes and functional consequences on neural coding","year":2011,"lang":"en","type":"erratum","venue":"Experimental Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Neural coding; Spike (software development); Spike train; Coding (social sciences); Neuroscience; Statistics; Psychology; Computer science; Mathematics","score_opus":0.17914855649818462,"score_gpt":0.3931597486864359,"score_spread":0.21401119218825126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164312081","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28365615,0.0032695702,0.0006992678,0.02663836,0.18631011,0.01142959,0.008819609,0.0012116212,0.47796574],"genre_scores_gemma":[0.62250495,0.00020597574,0.0002587402,0.0067342445,0.0025960682,0.00047348937,0.00048322324,0.00021170336,0.3665316],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9940424,0.0009381555,0.00046834405,0.0016268422,0.0018169426,0.0011072961],"domain_scores_gemma":[0.99705935,0.0016691973,0.00013311507,0.0004773569,0.00013755496,0.0005234353],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00088025484,0.00055693113,0.00048054708,0.00072586286,0.0009596804,0.00050729106,0.00051035493,0.0003736034,0.0011023593],"category_scores_gemma":[0.0018536022,0.00050992105,0.00010196053,0.0005393637,0.0013295626,0.00021666645,0.00048829603,0.0020277596,0.00027409417],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027046184,0.00013297609,0.0000051233455,0.0000352411,0.000009506613,0.00021981535,0.00035908105,0.0000037525658,0.3772361,0.0076009943,0.61354214,0.00058477616],"study_design_scores_gemma":[0.002615104,0.012466612,0.002370158,0.000882597,0.000029129977,0.0006418416,0.0031302003,0.0047093784,0.58569,0.009303289,0.3749671,0.0031945969],"about_ca_topic_score_codex":0.00037055596,"about_ca_topic_score_gemma":0.00012788275,"teacher_disagreement_score":0.33884883,"about_ca_system_score_codex":0.00030936042,"about_ca_system_score_gemma":0.00036447792,"threshold_uncertainty_score":0.99981076},"labels":[],"label_agreement":null},{"id":"W2164679451","doi":"10.1046/j.0953-816x.2001.01776.x","title":"Modulation of the synchronization between cells in visual cortex by contextual targets","year":2001,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université de Montréal","funders":"","keywords":"Receptive field; Stimulus (psychology); Synchronization (alternating current); Visual cortex; Neuroscience; Sine wave; Modulation (music); Surround suppression; Communication; Physics; Computer science; Computer vision; Psychology; Visual perception; Perception; Acoustics; Cognitive psychology","score_opus":0.023700247573997118,"score_gpt":0.2513455087441814,"score_spread":0.22764526117018427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164679451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98880875,0.000011645589,0.009439158,0.00032580303,0.000904368,0.000114321156,0.000008724183,0.000007793778,0.0003794491],"genre_scores_gemma":[0.9990935,0.00005260414,0.000016261993,0.00057996874,0.00007842913,1.7075983e-7,4.000744e-7,0.000014896624,0.00016381324],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9978592,0.0006295825,0.00056014414,0.00023391742,0.0005195019,0.00019767655],"domain_scores_gemma":[0.998909,0.00017141653,0.000630197,0.00014138212,0.00007651004,0.00007151136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060649373,0.000111272864,0.00015795809,0.00012443283,0.000120086064,0.00005120685,0.00051786675,0.000015957188,0.000007004759],"category_scores_gemma":[0.00079295225,0.000079391815,0.00007116623,0.00077413936,0.00021415728,0.00041535927,0.00008919544,0.0002446736,0.000004604852],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019940477,0.00005948442,0.0047817947,0.0000027377364,3.250015e-7,0.00003899319,0.000054368924,0.0017785652,0.9886603,0.000029210129,0.00014064551,0.004433643],"study_design_scores_gemma":[0.00085646176,0.0008058856,0.8217226,0.00006865701,0.000009493183,0.00016393897,0.000024468549,0.048621956,0.124134384,0.00007507237,0.003337943,0.00017909224],"about_ca_topic_score_codex":0.0000022360255,"about_ca_topic_score_gemma":8.667981e-7,"teacher_disagreement_score":0.8645259,"about_ca_system_score_codex":0.00003544727,"about_ca_system_score_gemma":0.000037833448,"threshold_uncertainty_score":0.32375044},"labels":[],"label_agreement":null},{"id":"W2164691247","doi":"10.3389/fnbeh.2010.00042","title":"Should animals navigating over short distances switch to a magnetic compass sense?","year":2010,"lang":"en","type":"article","venue":"Frontiers in Behavioral Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Compass; Sensory cue; Magnetoreception; Olfaction; Stimulus modality; Olfactory cues; Sensory system; Computer science; Communication; Computer vision; Cognitive psychology; Psychology; Human–computer interaction; Neuroscience; Artificial intelligence; Earth's magnetic field; Geography; Physics","score_opus":0.04781487306157691,"score_gpt":0.3294674201873237,"score_spread":0.28165254712574683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164691247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99054873,0.00001302609,0.0011914877,0.0005545526,0.006741818,0.00054048735,0.00005853061,0.0001290954,0.00022228863],"genre_scores_gemma":[0.9954873,0.000009606469,0.0022953025,0.001826386,0.00007689411,0.000051431776,0.0000017006902,0.000033524757,0.00021790294],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9967477,0.00009862848,0.00043062313,0.0011854946,0.00076847256,0.00076908414],"domain_scores_gemma":[0.9990286,0.00006434259,0.000085504485,0.00049047504,0.000036472626,0.00029458894],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00029333238,0.00030883373,0.00031233596,0.00018560138,0.00034154873,0.00031004887,0.0006632813,0.00010451322,0.000026115515],"category_scores_gemma":[0.00030412807,0.00029190432,0.00008487569,0.0014416481,0.00042645886,0.0004540158,0.00022500289,0.00091663277,0.000010187157],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032512748,0.00011609958,0.11097492,0.000004711081,7.829313e-8,0.00014148047,0.00009638173,0.00007686946,0.87698066,0.0001916843,0.0005859521,0.010798668],"study_design_scores_gemma":[0.000781991,0.0015135759,0.70385563,0.00011344518,0.000028486298,0.00026404168,0.00023166835,0.0567873,0.21969856,0.0011390263,0.013957469,0.0016287976],"about_ca_topic_score_codex":0.0000672223,"about_ca_topic_score_gemma":0.00014712184,"teacher_disagreement_score":0.65728205,"about_ca_system_score_codex":0.000061730156,"about_ca_system_score_gemma":0.00004213567,"threshold_uncertainty_score":0.9999533},"labels":[],"label_agreement":null},{"id":"W2164726591","doi":"10.1186/jbiol171","title":"The absolute pitch mind continues to reveal itself","year":2009,"lang":"en","type":"review","venue":"Journal of Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Victoria Hospital; Montreal Neurological Institute and Hospital; McGill University; International Laboratory for Brain, Music and Sound Research","funders":"Canadian Institutes of Health Research","keywords":"Absolute (philosophy); Absolute pitch; Functional magnetic resonance imaging; Perspective (graphical); Cognitive science; Cognition; Cognitive neuroscience; Neuroscience; Psychology; Cognitive psychology; Epistemology; Computer science; Philosophy; Artificial intelligence","score_opus":0.06893229462611422,"score_gpt":0.3593467675876932,"score_spread":0.29041447296157896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164726591","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00041764035,0.994277,0.000034192482,0.00143133,0.0026926515,0.00027336142,0.00002062842,0.0000054544234,0.00084771955],"genre_scores_gemma":[0.000066675784,0.9958942,0.000061164654,0.0006485537,0.00080328295,0.0000026151583,0.0000014329755,0.000013279241,0.0025087954],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981756,0.00040647524,0.0007854246,0.0002233969,0.00012902568,0.00028007675],"domain_scores_gemma":[0.99777895,0.00086337654,0.0009840679,0.0001932988,0.00007963905,0.00010064828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006141226,0.00020365515,0.0008826911,0.00014778468,0.00014061843,0.000061327184,0.0005732144,0.0001977255,0.000012343823],"category_scores_gemma":[0.00087553344,0.0001020835,0.0004148637,0.00023018385,0.000073193805,0.00004381548,0.00006321093,0.00055128225,0.000074263626],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016142296,0.000014107126,4.6298157e-7,0.00006297339,0.000013306632,0.000031623465,0.000007335842,2.3827593e-7,0.00075525796,0.00027557553,0.0071023228,0.9917207],"study_design_scores_gemma":[0.00007071286,0.0005692494,0.000009541626,0.0006269381,0.0000780345,0.00084596383,0.0000018155871,0.0000017712919,0.000025196296,0.0004624854,0.99719805,0.000110232424],"about_ca_topic_score_codex":9.842291e-7,"about_ca_topic_score_gemma":0.0000031992204,"teacher_disagreement_score":0.9916104,"about_ca_system_score_codex":0.00005519609,"about_ca_system_score_gemma":0.000112059366,"threshold_uncertainty_score":0.4162844},"labels":[],"label_agreement":null},{"id":"W2164775590","doi":"10.1002/cne.10769","title":"Single‐cell study of motor cortex projections to the barrel field in rats","year":2003,"lang":"en","type":"article","venue":"The Journal of Comparative Neurology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":143,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Whisking in animals; Biology; Sensory system; Axon; Somatosensory system; Retrograde tracing; Brainstem; Population; Local field potential; Anatomy; Central nervous system","score_opus":0.06339895183538875,"score_gpt":0.3081587613464933,"score_spread":0.24475980951110454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164775590","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953407,0.000015436646,0.00017154384,0.0019490207,0.0007228324,0.00046231784,0.0000011463776,0.0000033017348,0.001333683],"genre_scores_gemma":[0.99780786,0.000007439943,0.000006296417,0.0020028634,0.000039266648,0.0000049909013,2.4386058e-8,0.0000050549197,0.00012619562],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977798,0.0013972893,0.00037618034,0.000115556526,0.00018872837,0.00014248364],"domain_scores_gemma":[0.9980599,0.0013508694,0.00029591317,0.0001765621,0.000082206985,0.000034515717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041342454,0.00009352401,0.00022399379,0.0001293519,0.00011354913,0.000012165134,0.00030299777,0.000026584423,0.000019936784],"category_scores_gemma":[0.00028053496,0.000049868526,0.00004450494,0.00039404025,0.000060704515,0.00006470779,0.00003648404,0.0004477881,0.000005955991],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010339286,0.00095719355,0.0015888623,0.0000021185924,0.000007417891,0.000021628135,0.003546984,0.0045467885,0.98659885,0.0004694894,0.0011582177,0.00006851356],"study_design_scores_gemma":[0.005504945,0.10147533,0.14267719,0.00002966763,0.00017899972,0.0017299688,0.0065115294,0.009009109,0.70719624,0.003022386,0.022148736,0.00051588437],"about_ca_topic_score_codex":0.00001494981,"about_ca_topic_score_gemma":0.00019745225,"teacher_disagreement_score":0.27940258,"about_ca_system_score_codex":0.000009692413,"about_ca_system_score_gemma":0.000035635327,"threshold_uncertainty_score":0.20335793},"labels":[],"label_agreement":null},{"id":"W2164920252","doi":"10.1002/hbm.20165","title":"Repetition‐induced changes in BOLD response reflect accumulation of neural activity","year":2005,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":135,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; James S. McDonnell Foundation; National Institutes of Health; National Science Foundation","keywords":"Neuroscience; Stimulus (psychology); Psychology; Neural activity; Repetition priming; Magnetoencephalography; Population; Backward masking; Brain activity and meditation; Electroencephalography; Cognition; Cognitive psychology; Perception; Medicine","score_opus":0.1908920000850269,"score_gpt":0.370993631431977,"score_spread":0.1801016313469501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164920252","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991652,0.000002824476,0.00009449906,0.007225525,0.00011482649,0.0002378425,0.0000039363517,0.00007311664,0.00059543183],"genre_scores_gemma":[0.9980571,0.0000019970487,0.000050400024,0.0011584348,0.000128579,0.0000151426,0.000003263673,0.000016279693,0.0005687757],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984781,0.00044739473,0.00023024257,0.00037924142,0.00022416661,0.00024084674],"domain_scores_gemma":[0.99899566,0.0004989767,0.0001815514,0.0002599537,0.000025179792,0.00003867516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068945455,0.00012836594,0.00016716788,0.0003470659,0.00017964597,0.000037238664,0.00013919962,0.00007102509,0.00006189988],"category_scores_gemma":[0.00087142666,0.00013520474,0.00005116905,0.0004298931,0.000043212152,0.00030247046,0.000060160055,0.00020346328,0.000008546391],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017853714,0.000052694202,0.00030309588,0.000015691034,9.961592e-7,0.0000063393704,0.0003012165,0.00037843615,0.9946291,0.00077513576,0.000074104755,0.0032846718],"study_design_scores_gemma":[0.0010052217,0.00034029808,0.5296978,0.00012100629,0.00000386649,0.000019748555,0.000058561847,0.040985398,0.42438826,0.0011580972,0.0018834688,0.000338305],"about_ca_topic_score_codex":0.000031335716,"about_ca_topic_score_gemma":0.00028242424,"teacher_disagreement_score":0.57024086,"about_ca_system_score_codex":0.00010446198,"about_ca_system_score_gemma":0.000015830024,"threshold_uncertainty_score":0.5513489},"labels":[],"label_agreement":null},{"id":"W2165216303","doi":"10.1016/s0928-4257(00)01102-5","title":"Neural ensemble coding and statistical periodicity: Speculations on the operation of the mind's eye","year":2000,"lang":"en","type":"review","venue":"Journal of Physiology-Paris","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"U.S. Public Health Service","keywords":"Multistability; Coding (social sciences); Neural coding; Property (philosophy); Neural system; Statistical physics; Computer science; Neural ensemble; Relation (database); Statistical ensemble; Population; Information theory; Statistical analysis; Artificial intelligence; Neuroscience; Mathematics; Psychology; Physics; Statistics; Data mining; Canonical ensemble; Quantum mechanics","score_opus":0.057639180183558424,"score_gpt":0.32250548258336914,"score_spread":0.26486630239981074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165216303","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35603032,0.6222607,0.00059690734,0.0075630094,0.0062683662,0.0035620825,0.00075546035,0.000034464483,0.0029287154],"genre_scores_gemma":[0.12083943,0.878144,0.00004831724,0.00040229698,0.00032743704,0.0000058427263,0.000006301755,0.000020709209,0.00020564675],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982003,0.00059977185,0.0005943806,0.0002117433,0.00024486484,0.00014892491],"domain_scores_gemma":[0.99805206,0.00095353957,0.0006941473,0.00021226288,0.000044897777,0.00004310498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022445738,0.00019286324,0.0006522977,0.000081017424,0.0002894237,0.00005697746,0.00025799772,0.000114770206,0.00014331278],"category_scores_gemma":[0.00030293904,0.0000900327,0.00025537144,0.0001712438,0.0002561987,0.000081379025,0.000062079074,0.00065653765,0.000007645598],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024816045,0.00047544984,0.000042180684,0.0019151429,0.00019819463,0.00003625686,0.00040515515,0.0023073002,0.19713986,0.020968089,0.0068118996,0.76945233],"study_design_scores_gemma":[0.0009445015,0.0021202704,0.005768434,0.005694736,0.0017165663,0.0008501929,0.00009248011,0.021977203,0.003310053,0.0038759923,0.9527396,0.00090995315],"about_ca_topic_score_codex":0.0000041728404,"about_ca_topic_score_gemma":0.0000013973289,"teacher_disagreement_score":0.94592774,"about_ca_system_score_codex":0.000039992374,"about_ca_system_score_gemma":0.00009955273,"threshold_uncertainty_score":0.36714268},"labels":[],"label_agreement":null},{"id":"W2165857685","doi":"10.1017/s0954579405050340","title":"The circumplex model of affect: An integrative approach to affective neuroscience, cognitive development, and psychopathology","year":2005,"lang":"en","type":"review","venue":"Development and Psychopathology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2570,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Columbia College","funders":"National Institute on Drug Abuse; National Institute of Mental Health","keywords":"Psychology; Affect (linguistics); Affective neuroscience; Cognition; Cognitive psychology; Cognitive neuroscience; Affective science; Neuroimaging; Cognitive science; Schizophrenia (object-oriented programming); Developmental cognitive neuroscience; Functional neuroimaging; Neuroscience","score_opus":0.10769909730127492,"score_gpt":0.36094402059903835,"score_spread":0.25324492329776344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165857685","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14580898,0.78348076,0.03864041,0.0002148373,0.004282916,0.010768715,0.00033658088,0.0003525952,0.016114196],"genre_scores_gemma":[0.012173863,0.9784103,0.0054374053,0.0012428312,0.0001369176,0.0011288964,0.000085230145,0.00012004107,0.0012644958],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9955001,0.00082240603,0.00087306026,0.0017887874,0.00031709822,0.0006985684],"domain_scores_gemma":[0.9979998,0.00072025124,0.0005570178,0.00036015466,0.00009432915,0.00026846345],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00094630034,0.0007772252,0.0013371846,0.0005573278,0.00082689227,0.00011693789,0.00055511424,0.000377355,0.0000022162571],"category_scores_gemma":[0.00037633636,0.0005151503,0.000119908655,0.00076857524,0.0008307558,0.00020240879,0.0002765658,0.0006696405,0.000012088734],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007394615,0.00017844688,0.000016558695,0.00035481039,0.000012581358,0.000011990009,0.0027468407,0.0000032244795,0.0004402961,0.0026030962,0.00005412742,0.9935041],"study_design_scores_gemma":[0.0016007631,0.0012217055,0.001329342,0.0024114095,0.0003111753,0.0021213586,0.0006497305,0.0018882118,0.0005509144,0.0011058686,0.9842346,0.0025749316],"about_ca_topic_score_codex":0.0000011997486,"about_ca_topic_score_gemma":0.000027609894,"teacher_disagreement_score":0.9909291,"about_ca_system_score_codex":0.000069782865,"about_ca_system_score_gemma":0.0003436744,"threshold_uncertainty_score":0.99973},"labels":[],"label_agreement":null},{"id":"W2165860188","doi":"10.1371/journal.pone.0088254","title":"Small Modifications to Network Topology Can Induce Stochastic Bistable Spiking Dynamics in a Balanced Cortical Model","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Australian Research Council; Natural Sciences and Engineering Research Council of Canada; Curtin University of Technology; Australian National University; Australian Government","keywords":"Bistability; Topology (electrical circuits); Network dynamics; Population; Network topology; Random graph; Nerve net; Cluster (spacecraft); Computer science; Dynamics (music); Neuroscience; Network model; Biological system; Physics; Graph; Biology; Mathematics; Theoretical computer science; Artificial intelligence","score_opus":0.09173618600276581,"score_gpt":0.24917618158930552,"score_spread":0.1574399955865397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165860188","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8956198,0.0000017418394,0.10073589,0.0018972284,0.00008825047,0.00031048275,0.000017667233,0.00006445266,0.0012644933],"genre_scores_gemma":[0.99550086,0.0000024616756,0.0021556187,0.0016157434,0.00007447837,0.00007310775,0.000009983007,0.000019896142,0.0005478239],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99871993,0.000086966604,0.00022399887,0.00039789983,0.00016564256,0.00040557413],"domain_scores_gemma":[0.99925315,0.00025774384,0.000055184875,0.00027872788,0.000036534024,0.00011863585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000150674,0.00011576216,0.00020206338,0.000094653085,0.00014252616,0.000037221205,0.00019421859,0.000072414296,0.000006358671],"category_scores_gemma":[0.000851745,0.00012121117,0.000021921547,0.00042124427,0.000050911578,0.000045750032,0.00008019166,0.00027255388,0.000018570905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060657178,0.00060636917,0.0011385485,0.000021719958,0.0000058899673,0.000002987535,0.00010402493,0.39746913,0.4138041,0.18634905,0.000021818063,0.00041570995],"study_design_scores_gemma":[0.00019110642,0.000096022035,0.00077390403,0.00003984297,0.00001362959,0.0000016084891,0.000010085689,0.9906681,0.0016130006,0.0064530326,0.0000031954746,0.00013643003],"about_ca_topic_score_codex":0.00009246773,"about_ca_topic_score_gemma":0.0014420716,"teacher_disagreement_score":0.593199,"about_ca_system_score_codex":0.00016933258,"about_ca_system_score_gemma":0.00004011752,"threshold_uncertainty_score":0.49428478},"labels":[],"label_agreement":null},{"id":"W2166071208","doi":"10.1097/jgp.0b013e318187137a","title":"Simulation of Neuronal Death and Network Recovery in a Computational Model of Distributed Cortical Activity","year":2008,"lang":"en","type":"article","venue":"American Journal of Geriatric Psychiatry","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital","funders":"","keywords":"Synaptogenesis; Neuroscience; Neurogenesis; Computer science; Reachability; Computational model; Neuroplasticity; Computational neuroscience; Premovement neuronal activity; Biological neural network; Node (physics); Biology; Artificial intelligence; Physics; Theoretical computer science","score_opus":0.020823534351520862,"score_gpt":0.25790055481808977,"score_spread":0.2370770204665689,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166071208","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9330988,0.000022442122,0.06624255,0.00022361166,0.00029982557,0.00006256168,0.000029912093,0.0000037843658,0.000016535208],"genre_scores_gemma":[0.9952578,0.000068123096,0.004474722,0.00010743943,0.0000794072,4.845331e-7,0.0000015287324,0.000008188367,0.0000023029065],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987334,0.00016003154,0.00051162305,0.00015326876,0.00029580054,0.00014586071],"domain_scores_gemma":[0.99833083,0.0006002747,0.00084425753,0.00007515315,0.00007896317,0.00007051859],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017837397,0.00009856769,0.0003348405,0.00014995292,0.00005612915,0.0000054528186,0.00009369755,0.000029009978,0.000003161194],"category_scores_gemma":[0.00021515266,0.00008961461,0.000095485586,0.0005696938,0.00017721529,0.00016914685,0.000026958274,0.0002195417,1.5643113e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007574177,0.00018249432,0.052471172,0.000009472934,0.0000071922573,0.0000034785933,0.00002045683,0.9413692,0.0033258798,0.0002976021,0.000024979021,0.0015306919],"study_design_scores_gemma":[0.00051079225,0.0007145204,0.3002873,0.00001586646,0.000015675461,0.00006526335,0.0000086634345,0.69502676,0.00004647949,0.0032375273,0.0000016642948,0.00006945981],"about_ca_topic_score_codex":0.0000109653965,"about_ca_topic_score_gemma":0.0000017454681,"teacher_disagreement_score":0.24781615,"about_ca_system_score_codex":0.000026325639,"about_ca_system_score_gemma":0.00020211506,"threshold_uncertainty_score":0.36543778},"labels":[],"label_agreement":null},{"id":"W2166158831","doi":"10.1016/j.neuroimage.2009.08.027","title":"Exploring transient transfer entropy based on a group-wise ICA decomposition of EEG data","year":2009,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":61,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Baycrest Hospital","funders":"","keywords":"Independent component analysis; Transfer entropy; Mutual information; Pattern recognition (psychology); Electroencephalography; Computer science; Artificial intelligence; Entropy (arrow of time); Spurious relationship; Principal component analysis; Component analysis; Speech recognition; Machine learning; Psychology; Principle of maximum entropy; Physics; Neuroscience","score_opus":0.12005077723028325,"score_gpt":0.28988355452182474,"score_spread":0.1698327772915415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166158831","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98515576,0.0000033306178,0.0109845735,0.0017380626,0.00039163613,0.0003132214,0.00012741207,0.0001083903,0.0011775856],"genre_scores_gemma":[0.9969817,0.000041182306,0.00016870988,0.002679883,0.00004254356,0.000007833657,0.000044634697,0.000018703808,0.000014826538],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99836683,0.00013706034,0.00025730988,0.00061749906,0.00037440422,0.00024688157],"domain_scores_gemma":[0.99901885,0.00016107193,0.000039057013,0.0006810203,0.000016704893,0.000083320665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011467626,0.00016544978,0.00016892877,0.00013150307,0.00009910805,0.000044038814,0.0003754113,0.000028243572,0.000036980808],"category_scores_gemma":[0.00007789148,0.0001525991,0.00008325041,0.00027580533,0.000047606158,0.00049413374,0.000019133646,0.00019158646,0.00001551853],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026291763,0.00034885164,0.000011655519,0.000014159599,7.1971033e-7,0.000056531593,0.000030288873,0.000472207,0.9863746,0.0010873566,0.00008232003,0.011258373],"study_design_scores_gemma":[0.0024356176,0.0026773806,0.04552891,0.00009764663,0.000051091727,0.000029403443,0.000008954349,0.299029,0.6449335,0.0002919997,0.0044627753,0.00045374638],"about_ca_topic_score_codex":0.000004689034,"about_ca_topic_score_gemma":0.000001772536,"teacher_disagreement_score":0.34144112,"about_ca_system_score_codex":0.000018039296,"about_ca_system_score_gemma":0.00001176681,"threshold_uncertainty_score":0.6222811},"labels":[],"label_agreement":null},{"id":"W2166297939","doi":"10.2466/pms.2000.90.2.659","title":"Experimental Simulation of a Haunt Experience and Elicitation of Paroxysmal Electroencephalographic Activity by Transcerebral Complex Magnetic Fields: Induction of a Synthetic “Ghost”?","year":2000,"lang":"en","type":"article","venue":"Perceptual and Motor Skills","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Right hemisphere; Psychology; Lateralization of brain function; Electroencephalography; Neuroscience; Audiology; Cognitive psychology; Medicine","score_opus":0.018820355443961826,"score_gpt":0.26222168663930895,"score_spread":0.24340133119534713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166297939","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993214,0.000058904094,0.00019204125,0.000041913507,0.00003675442,0.00025371189,0.00003393155,0.000011048117,0.000050322673],"genre_scores_gemma":[0.9997147,0.00011015842,0.000051357085,0.000042976742,0.000010508826,0.00001457949,0.0000040535647,0.000006613061,0.000045058965],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991259,0.00008129503,0.00022313307,0.00026042078,0.0001776413,0.00013161672],"domain_scores_gemma":[0.9996459,0.00010484109,0.000090802154,0.00008906762,0.000024849454,0.00004453684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000046503006,0.00011328089,0.0001855883,0.000073866264,0.00006253272,0.000009462098,0.00005439849,0.00006033256,0.00022029446],"category_scores_gemma":[0.000035607107,0.0001019544,0.000055969093,0.00014348494,0.00035217733,0.00018210908,0.000010231503,0.000067303234,3.5187688e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001597865,0.00023577124,0.0005927801,0.000023856666,0.0000022299093,1.705636e-7,0.0035040693,0.00011446207,0.96852475,0.000039625105,0.0000022210709,0.026800243],"study_design_scores_gemma":[0.0011398823,0.0033988573,0.1727793,0.00006109663,0.000033532222,0.000023089682,0.0008343596,0.052599385,0.76856947,0.00024457334,0.00005127983,0.00026514695],"about_ca_topic_score_codex":0.000120864126,"about_ca_topic_score_gemma":0.0000049082623,"teacher_disagreement_score":0.19995528,"about_ca_system_score_codex":0.000008046471,"about_ca_system_score_gemma":0.000006983295,"threshold_uncertainty_score":0.41575798},"labels":[],"label_agreement":null},{"id":"W2166453539","doi":"","title":"Nonlinear Filtering of Electron Micrographs by Means of Support Vector Regression","year":2003,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Filter (signal processing); Artificial intelligence; Computer science; Nonlinear system; Gaussian; Support vector machine; Pattern recognition (psychology); Image (mathematics); Algorithm; Computer vision; Physics","score_opus":0.01511485396621206,"score_gpt":0.25190488366129943,"score_spread":0.23679002969508736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166453539","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99426055,0.000013420473,0.0004319099,0.0000675919,0.00015264875,0.00009487973,0.00002107036,0.000024774372,0.0049331426],"genre_scores_gemma":[0.9976571,0.00004712454,0.0006726363,0.00010401757,0.000006577748,0.000001807552,0.0000050311905,0.00001013561,0.0014955353],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99926513,0.000045142184,0.00019368334,0.00019073859,0.00014968557,0.00015559811],"domain_scores_gemma":[0.9996386,0.000054553122,0.00010086685,0.00014798318,0.000024706536,0.000033260174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008756892,0.00008126393,0.00012358637,0.000058499132,0.000030983727,0.0000063928965,0.000088536515,0.00003554447,0.00014976252],"category_scores_gemma":[0.00009667048,0.00006144407,0.00006484336,0.00022044158,0.000047421185,0.00006619651,0.000015900627,0.000066289635,0.0000034237728],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001811475,0.000073004034,0.00020014463,0.000015690253,0.0000015028661,0.0000010571068,0.000013119065,0.0000036634765,0.9976541,0.00080722105,0.0007780157,0.0004344035],"study_design_scores_gemma":[0.00015769684,0.00028330256,0.00005859358,0.000010801331,0.0000038330827,0.00000832833,0.0000067002825,0.00042247304,0.99388295,0.000075030606,0.0050273314,0.000062974315],"about_ca_topic_score_codex":0.000011385142,"about_ca_topic_score_gemma":0.0000039431484,"teacher_disagreement_score":0.0042493157,"about_ca_system_score_codex":0.000007817959,"about_ca_system_score_gemma":0.000015655833,"threshold_uncertainty_score":0.25056165},"labels":[],"label_agreement":null},{"id":"W2166865738","doi":"10.1093/cercor/bht259","title":"Physiological Correspondence Dictates Cortical Long-Term Potentiation and Depression by Thalamic Induction","year":2013,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Alberta Innovates","keywords":"Neuroscience; Long-term potentiation; Thalamus; Auditory cortex; Excitatory postsynaptic potential; LTP induction; Long-term depression; Neuroplasticity; Cortex (anatomy); Receptive field; Postsynaptic potential; Biology; Inhibitory postsynaptic potential; Glutamate receptor; Receptor","score_opus":0.019978747236358507,"score_gpt":0.24593916949809816,"score_spread":0.22596042226173965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166865738","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980477,0.000034686556,0.00059289974,0.00021987245,0.0005836858,0.0003110804,0.0000071141912,0.00010704237,0.00009588456],"genre_scores_gemma":[0.9985512,0.000058797472,0.00001588129,0.00052859745,0.00008373007,0.000027264941,0.00003450694,0.00001353768,0.000686498],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986603,0.00013577947,0.0002002741,0.0005173861,0.00022312565,0.00026311487],"domain_scores_gemma":[0.9994645,0.000114854665,0.000103154096,0.00016158631,0.000042338634,0.00011352595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005545807,0.00015945992,0.00014050168,0.00004923179,0.00023935548,0.00013243983,0.00012620923,0.00011441832,0.0003246959],"category_scores_gemma":[0.00025344838,0.00012035394,0.000041191746,0.00015327247,0.00015540559,0.00054740615,0.00010313724,0.00025719832,0.00014797892],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028884311,0.000053052987,0.049288474,0.000007755572,0.000001668437,0.0000041721614,0.000014781812,0.0000028672482,0.9396538,0.00012603308,0.0009839897,0.009834531],"study_design_scores_gemma":[0.00026713635,0.00015529183,0.94034827,0.000016627866,0.000009513656,0.000049540686,0.000012185097,0.0117539205,0.04611152,0.0011053453,0.00000875423,0.00016189415],"about_ca_topic_score_codex":0.00002651723,"about_ca_topic_score_gemma":0.0000022841114,"teacher_disagreement_score":0.8935423,"about_ca_system_score_codex":0.00002679033,"about_ca_system_score_gemma":0.000009134021,"threshold_uncertainty_score":0.49078915},"labels":[],"label_agreement":null},{"id":"W2166867353","doi":"10.3389/fnsys.2011.00096","title":"Empirical and theoretical aspects of generation and transfer of information in a neuromagnetic source network","year":2011,"lang":"en","type":"article","venue":"Frontiers in Systems Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital","funders":"James S. McDonnell Foundation","keywords":"Computer science; Information transfer; Cognitive science; Neuroscience; Psychology; Telecommunications","score_opus":0.027303620192953727,"score_gpt":0.22051545564489403,"score_spread":0.1932118354519403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166867353","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9795497,0.000056043515,0.0184411,0.00004059075,0.00090859534,0.00031487385,0.0000037241277,0.000010516982,0.00067487266],"genre_scores_gemma":[0.9995577,0.00006944719,0.00015519283,0.00017547498,0.000015727388,0.000009589576,3.3388196e-7,0.0000054165343,0.000011152649],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99866796,0.00022650654,0.0004119807,0.00027004778,0.00022660688,0.00019692279],"domain_scores_gemma":[0.999657,0.00006388192,0.0000793781,0.00012839011,0.000017775754,0.00005360179],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032282027,0.00010086216,0.00020906694,0.00019965484,0.000040852472,0.00002946182,0.0001286851,0.000054916432,0.0000011339688],"category_scores_gemma":[0.00026204984,0.00008899661,0.00001732771,0.0005409595,0.00052853505,0.00037920306,0.000040435192,0.00012088621,1.5875027e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032499502,0.00024518106,0.252606,0.00039156416,0.0000014097355,0.000034519744,0.0048266207,0.008235752,0.6098477,0.11433425,0.00026486523,0.00888713],"study_design_scores_gemma":[0.0007326649,0.0007972268,0.15966779,0.000084105224,0.000007103172,0.00008677785,0.00015164401,0.823788,0.012267745,0.002025271,0.00018625551,0.00020545711],"about_ca_topic_score_codex":0.0000229977,"about_ca_topic_score_gemma":0.0000044394073,"teacher_disagreement_score":0.81555223,"about_ca_system_score_codex":0.000011248744,"about_ca_system_score_gemma":0.000021758106,"threshold_uncertainty_score":0.36291763},"labels":[],"label_agreement":null},{"id":"W2167026551","doi":"10.1523/jneurosci.23-17-06778.2003","title":"The Relay of High-Frequency Sensory Signals in the Whisker-to-Barreloid Pathway","year":2003,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":122,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Whisker; Stimulus (psychology); Neuroscience; Excitatory postsynaptic potential; Stimulation; Waveform; Amplitude; Physics; Chemistry; Inhibitory postsynaptic potential; Biology; Voltage; Psychology; Optics","score_opus":0.03473609918528946,"score_gpt":0.25923329999310324,"score_spread":0.22449720080781377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167026551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99375534,0.00004855754,0.00034741862,0.003079237,0.001793607,0.00018667596,0.000004981202,0.000005762822,0.0007784157],"genre_scores_gemma":[0.9961541,0.0001475765,0.00010128643,0.0032850956,0.000047140697,0.0000029938808,2.1878572e-8,0.000009563023,0.000252178],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99715537,0.0007248891,0.00062478037,0.00026547984,0.0008940356,0.00033541943],"domain_scores_gemma":[0.99780685,0.0011366656,0.0005037871,0.00034652388,0.0001088359,0.00009736307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018852871,0.00013435201,0.00019199203,0.00016761769,0.00031486544,0.000115776005,0.0009685566,0.00003674757,0.000005004634],"category_scores_gemma":[0.005437256,0.00006971694,0.0001080668,0.0011953088,0.00028458075,0.00031706752,0.00004129567,0.00046141315,0.0000061396595],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021710195,0.0000680469,0.00030742696,0.0000030800086,3.3063685e-7,0.000095632866,0.00014652929,0.0021027343,0.9888004,0.007624089,0.00012148187,0.00070854364],"study_design_scores_gemma":[0.0013280335,0.0032383115,0.07803158,0.0001554445,0.000022789702,0.0034593763,0.0005228295,0.0021164003,0.86507964,0.021048466,0.02443126,0.00056585384],"about_ca_topic_score_codex":0.0000071845807,"about_ca_topic_score_gemma":0.0000072688067,"teacher_disagreement_score":0.12372074,"about_ca_system_score_codex":0.000035326022,"about_ca_system_score_gemma":0.0001467763,"threshold_uncertainty_score":0.6509296},"labels":[],"label_agreement":null},{"id":"W2167350131","doi":"10.1016/j.pneurobio.2010.09.002","title":"The brain and its resting state activity—Experimental and methodological implications","year":2010,"lang":"en","type":"review","venue":"Progress in Neurobiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":102,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Royal Ottawa Mental Health Centre","funders":"Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Neuroscience; Resting state fMRI; Brain activity and meditation; Psychology; Consciousness; Stimulus (psychology); Relevance (law); Cognitive science; Cognitive psychology; Electroencephalography","score_opus":0.19884996819768705,"score_gpt":0.44298283174769726,"score_spread":0.2441328635500102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167350131","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.056020975,0.9409628,0.0000067870246,0.0012229886,0.00052203506,0.0011139628,0.000039483133,0.000061663195,0.000049328577],"genre_scores_gemma":[0.011065211,0.98813206,0.000078312325,0.0001995384,0.00005181372,0.00037759857,0.0000051815796,0.000029186931,0.00006112168],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99681115,0.0016790658,0.00032225752,0.0007746711,0.000052273837,0.0003605941],"domain_scores_gemma":[0.99341136,0.00598424,0.00029015477,0.0002378642,0.000012674419,0.0000636994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005935881,0.0002735615,0.0005795177,0.00009294919,0.0003197894,0.00009560338,0.0002810358,0.00023419695,0.0000017270272],"category_scores_gemma":[0.0015673434,0.00016519248,0.00006467519,0.00021624379,0.0005367255,0.000064334105,0.00044606643,0.00094250974,0.0000028012525],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000129321725,0.000031803007,0.00005224803,0.00020755435,0.000002428131,0.000009798508,0.000011827168,7.360038e-8,0.00900656,0.0022855543,0.0000072442094,0.98837197],"study_design_scores_gemma":[0.00034319033,0.00062134565,0.0013463486,0.0005336359,0.00004892419,0.0015657652,0.0000038710537,0.0003890833,0.0017009855,0.0016758515,0.9911408,0.00063024036],"about_ca_topic_score_codex":0.0000010167217,"about_ca_topic_score_gemma":0.000005298577,"teacher_disagreement_score":0.9911335,"about_ca_system_score_codex":0.000017133392,"about_ca_system_score_gemma":0.000032307973,"threshold_uncertainty_score":0.67363536},"labels":[],"label_agreement":null},{"id":"W2167383338","doi":"10.1177/1073858403259258","title":"Neural Synchrony, Axonal Path Lengths, and General Anesthesia: A Hypothesis","year":2003,"lang":"en","type":"review","venue":"The Neuroscientist","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Neuroscience; Axon; Path length; Path (computing); Inhibitory postsynaptic potential; Physics; Computer science; Biology","score_opus":0.0678918817554575,"score_gpt":0.28368863210530365,"score_spread":0.21579675034984613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167383338","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0041094963,0.9877628,0.00002987872,0.0005709509,0.0041516484,0.0018995444,0.00018575846,0.00022730624,0.0010626231],"genre_scores_gemma":[0.00038427615,0.98817736,0.000035075052,0.0022282915,0.00027438218,0.00010142645,0.000008860329,0.00012275894,0.008667547],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9954886,0.0011542765,0.000587696,0.0014060677,0.00065057067,0.0007128286],"domain_scores_gemma":[0.9976085,0.00091012847,0.00042384517,0.0008337709,0.000024419838,0.00019934404],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00041014893,0.00069600553,0.0010179415,0.00020285578,0.00090069673,0.000597294,0.000880955,0.00019369656,0.00005038711],"category_scores_gemma":[0.00046614962,0.00043898996,0.00044147784,0.0008411592,0.0007161362,0.00019510204,0.00023063223,0.000739495,0.000106141815],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013232719,0.00017018623,0.0000030823378,0.002094932,0.000012233239,0.0009933189,0.000018703871,0.000007419887,0.0017176192,0.0051361527,0.005995133,0.98383796],"study_design_scores_gemma":[0.00014317573,0.00010750678,0.000022000684,0.00031277348,0.00021853746,0.008081379,0.000001284323,0.00091009296,0.000033035707,0.00016732076,0.98953336,0.00046951848],"about_ca_topic_score_codex":0.000007097748,"about_ca_topic_score_gemma":0.0000023317589,"teacher_disagreement_score":0.98353827,"about_ca_system_score_codex":0.000070284594,"about_ca_system_score_gemma":0.00011399309,"threshold_uncertainty_score":0.99980617},"labels":[],"label_agreement":null},{"id":"W2167471549","doi":"10.1063/1.4776527","title":"Can brains generate random numbers?","year":2013,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Canada Research Chairs","keywords":"Construct (python library); Artificial neural network; Electroencephalography; Pattern recognition (psychology); Signal processing; Neural activity","score_opus":0.030135731403819158,"score_gpt":0.23813645644637788,"score_spread":0.20800072504255873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167471549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96215916,0.000004267184,0.0008672014,0.007363779,0.0003636198,0.0004691032,0.000006921106,0.0002021787,0.028563786],"genre_scores_gemma":[0.99024266,0.000038653612,0.00010624826,0.00393257,0.00013113582,0.00010059485,0.0000028375412,0.00002216215,0.005423147],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986001,0.000014843393,0.0002142724,0.00050567405,0.00025912334,0.00040595594],"domain_scores_gemma":[0.99934995,0.0000660333,0.000110701716,0.00010521366,0.00020676176,0.00016134373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000103545935,0.00019603762,0.00018616235,0.00007435364,0.00021780861,0.00045718512,0.00029733445,0.00007642054,0.0006392777],"category_scores_gemma":[0.0003568864,0.0001651518,0.00006075306,0.00027869927,0.000116667936,0.00053848565,0.00008574462,0.00021117106,0.00044156934],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016818212,0.000026760285,0.0020660553,0.000014493591,0.0000028825255,0.0000022904126,0.0004352823,6.238607e-7,0.96863943,0.020009436,0.004025917,0.0047600353],"study_design_scores_gemma":[0.0061431704,0.0007659755,0.014306529,0.00016387399,0.000062463674,0.00028038645,0.0012333485,0.32048163,0.510164,0.116811,0.027308185,0.0022793876],"about_ca_topic_score_codex":0.00021877323,"about_ca_topic_score_gemma":0.000020105545,"teacher_disagreement_score":0.45847535,"about_ca_system_score_codex":0.00003797832,"about_ca_system_score_gemma":0.00005129814,"threshold_uncertainty_score":0.6999642},"labels":[],"label_agreement":null},{"id":"W2167557475","doi":"10.1088/1741-2560/1/3/005","title":"A synaptic input portal for a mapped clock oscillator model of neuronal electrical rhythmic activity","year":2004,"lang":"en","type":"article","venue":"Journal of Neural Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Postsynaptic potential; Neuroscience; Inhibitory postsynaptic potential; Excitatory postsynaptic potential; Synapse; Computer science; Topology (electrical circuits); Physics; Biology; Mathematics; Receptor","score_opus":0.022892320167259828,"score_gpt":0.23491540939643787,"score_spread":0.21202308922917804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167557475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96136516,0.000017750059,0.037612014,0.00034243203,0.00045472232,0.00016186663,0.000011400959,0.000025142284,0.000009489695],"genre_scores_gemma":[0.998615,0.000013517331,0.0010606808,0.00010693473,0.00015826664,0.0000038642256,2.6121396e-7,0.00002732611,0.000014116119],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987745,0.000015745301,0.00040952582,0.00018550914,0.00033049905,0.00028419236],"domain_scores_gemma":[0.99923736,0.00016684803,0.00029340072,0.00010627764,0.00007370644,0.00012241442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001209585,0.00016435134,0.00030372266,0.00021037791,0.000046043006,0.000024693425,0.00016429459,0.00006282479,0.0000019228303],"category_scores_gemma":[0.00050174724,0.0001418215,0.00024097777,0.0002510971,0.00002388934,0.00029242845,0.000031976757,0.00035690897,6.020551e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011590523,0.00003719867,0.000005526393,0.000021593538,0.0000082668375,0.000025258869,0.000009399133,0.4091543,0.5895185,0.0007421438,0.000006610481,0.00035532026],"study_design_scores_gemma":[0.0008477755,0.0006651998,0.00036402815,0.000027653574,0.000023366863,0.00076607935,0.0000010365571,0.89164823,0.10518241,0.00031338207,0.000031887772,0.00012891983],"about_ca_topic_score_codex":0.0000012977546,"about_ca_topic_score_gemma":3.9356877e-7,"teacher_disagreement_score":0.48433608,"about_ca_system_score_codex":0.00007349109,"about_ca_system_score_gemma":0.000087253975,"threshold_uncertainty_score":0.57833123},"labels":[],"label_agreement":null},{"id":"W2167572226","doi":"10.1109/iembs.2005.1615423","title":"A Simple Computational Model for the Estimation of Time-to-collision","year":2005,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"University of Electronic Science and Technology of China","keywords":"Looming; Computation; Computer science; Simple (philosophy); Constant (computer programming); Object (grammar); Artificial neural network; Algorithm; Artificial intelligence; Physics; Optics","score_opus":0.030620393745539983,"score_gpt":0.28589075437787836,"score_spread":0.2552703606323384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167572226","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1250639,7.671358e-7,0.8717137,0.0022880714,0.000022349675,0.0003260676,0.000021946174,0.000023410134,0.00053978094],"genre_scores_gemma":[0.98025423,4.922494e-7,0.01553765,0.0015939786,0.000015844935,0.00001746322,0.0000063532607,0.0000050053654,0.0025689572],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995829,0.000008225296,0.0001072131,0.000109801076,0.00012544326,0.00006640996],"domain_scores_gemma":[0.99945915,0.00038672987,0.00003431757,0.00006939932,0.00003190259,0.000018526061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000811771,0.000039317547,0.00004395504,0.000028212458,0.00009302021,0.000016001477,0.000073997195,0.000013256617,0.000051636416],"category_scores_gemma":[0.00014722499,0.00002500863,0.000029836603,0.00009588642,0.000014823232,0.00008383266,0.000019698136,0.00001957548,0.00006112069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020784011,0.000017905058,8.715089e-7,0.0000018700435,4.748746e-7,1.371691e-8,0.000022402897,0.9569872,0.024721105,0.0048836153,0.0025845878,0.010759147],"study_design_scores_gemma":[0.00012851387,0.000038598788,0.00006211906,0.0000014230227,0.0000027114415,7.925602e-7,0.0000012671572,0.9841061,0.009222865,0.005882912,0.000520884,0.000031784213],"about_ca_topic_score_codex":0.0000022681231,"about_ca_topic_score_gemma":0.0000024376402,"teacher_disagreement_score":0.8561761,"about_ca_system_score_codex":0.000012669005,"about_ca_system_score_gemma":0.00001346314,"threshold_uncertainty_score":0.101982236},"labels":[],"label_agreement":null},{"id":"W2167742066","doi":"","title":"ENDOGENOUS NEURAL NOISE AND REACTION TIME","year":2011,"lang":"en","type":"article","venue":"Proceedings of Fechner Day","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Stimulus (psychology); Luminance; Electroencephalography; Noise (video); Neural activity; Pattern recognition (psychology); Artificial intelligence; Audiology; Psychology; Speech recognition; Communication; Computer science; Neuroscience; Cognitive psychology; Medicine","score_opus":0.04420809840016207,"score_gpt":0.21360558010058311,"score_spread":0.16939748170042104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167742066","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96544224,0.00000934847,0.0000022852114,0.00008095371,0.00011712063,0.00014933117,0.0000039515926,0.00009047732,0.0341043],"genre_scores_gemma":[0.99907404,0.000028031347,0.00010722225,0.00014585415,0.000037942205,0.000008830389,5.979984e-7,0.000014193598,0.0005832593],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992923,0.0000047569074,0.00014132023,0.00026221888,0.00013966406,0.0001596993],"domain_scores_gemma":[0.9996862,0.000032412703,0.00011658143,0.000054542506,0.000055865505,0.00005441684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013307035,0.00010088636,0.00011347161,0.00006729955,0.0000797658,0.000022912094,0.00011441567,0.00004947529,0.000013701335],"category_scores_gemma":[0.00016434121,0.000086104665,0.000032277705,0.00016417728,0.00006656842,0.00035639823,0.00006447701,0.00010868545,0.000020220998],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032216507,0.000041858504,0.00078743347,0.00001931388,0.0000015062803,0.0000017394946,0.0002289537,2.4395925e-8,0.9921472,0.0022911017,0.00012341906,0.0043252488],"study_design_scores_gemma":[0.00023901506,0.0002797187,0.010117538,0.000015367126,0.000018589904,0.0001537959,0.00003438034,0.0016037747,0.98459834,0.002236208,0.00054361945,0.00015963527],"about_ca_topic_score_codex":0.000015775351,"about_ca_topic_score_gemma":2.1145804e-7,"teacher_disagreement_score":0.033631835,"about_ca_system_score_codex":0.000011629757,"about_ca_system_score_gemma":0.0000041624,"threshold_uncertainty_score":0.35112464},"labels":[],"label_agreement":null},{"id":"W2168059356","doi":"10.1073/pnas.2036460100","title":"An egalitarian network model for the emergence of simple and complex cells in visual cortex","year":2003,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":139,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Eye Institute; York University; National Science Foundation","keywords":"Visual cortex; Lateral geniculate nucleus; Neuroscience; Orientation column; Macaque; Nucleus; Cortex (anatomy); Visual system; Biology; Physics; Striate cortex","score_opus":0.08913889384617062,"score_gpt":0.34435577268988915,"score_spread":0.2552168788437185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168059356","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99820054,0.000018879897,0.00009190159,0.0007692221,0.000035600053,0.00029101968,0.00001907353,0.0000037831662,0.00057001144],"genre_scores_gemma":[0.99882394,0.000025278177,0.00072356284,0.00036078002,0.000019704054,0.00000784933,6.6079544e-8,0.0000026516286,0.000036164824],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99889344,0.000011129692,0.00025748796,0.00021457861,0.0004875976,0.00013574774],"domain_scores_gemma":[0.9993427,0.00027622594,0.00025919487,0.000008021056,0.000092719034,0.000021148955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011537204,0.000063162115,0.000102430546,0.00005512902,0.00021687805,0.00001608202,0.000420752,0.000034385495,0.0000056954505],"category_scores_gemma":[0.00042671338,0.0000376767,0.000034711302,0.0005612367,0.0005930894,0.00029799822,0.00004382393,0.00007783259,6.0468714e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013310087,0.000030588024,0.0013622178,0.000017561963,0.0000010323046,8.622853e-10,0.000089704554,0.015419341,0.81244963,0.17025943,0.00023931445,0.00011785031],"study_design_scores_gemma":[0.00010376738,0.0000655826,0.016691957,0.000010382253,0.000003855849,0.0000012702355,0.00010428691,0.75795186,0.10401649,0.12095375,0.000051209066,0.000045594206],"about_ca_topic_score_codex":0.000007545358,"about_ca_topic_score_gemma":8.911076e-7,"teacher_disagreement_score":0.7425325,"about_ca_system_score_codex":0.000006507405,"about_ca_system_score_gemma":0.000021037402,"threshold_uncertainty_score":0.21852626},"labels":[],"label_agreement":null},{"id":"W2168088825","doi":"10.1152/jn.00643.2004","title":"Cross-Correlation and Joint Spectro-Temporal Receptive Field Properties in Auditory Cortex","year":2004,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Receptive field; Stimulus (psychology); Stimulation; Auditory cortex; Neuroscience; Correlation; Cortical neurons; Psychology; Communication; Mathematics","score_opus":0.028221776185297018,"score_gpt":0.2549543300751189,"score_spread":0.2267325538898219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168088825","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99756646,0.000010578309,0.0000865466,0.0007448569,0.001397882,0.000077546996,7.743756e-7,0.000008052778,0.000107274966],"genre_scores_gemma":[0.99854,0.00011891773,0.000042914588,0.00087599125,0.00029918374,7.6462294e-7,2.4754752e-7,0.000008920786,0.00011307315],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99912024,0.00009258971,0.0003451329,0.00018120078,0.00011696836,0.00014387666],"domain_scores_gemma":[0.9994797,0.00007768186,0.0002744809,0.00007527792,0.000050147526,0.00004271832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000047263104,0.000095423675,0.00019884377,0.0001338304,0.0000619822,0.00002619221,0.000077089,0.0000583684,0.000016305194],"category_scores_gemma":[0.00042959538,0.00007118436,0.00005644128,0.00011294794,0.00011906214,0.00025234756,0.000040219515,0.00038238827,0.000008214342],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002676445,0.00006088081,0.00039487332,0.000007481432,0.0000016081432,0.0001275363,0.00009629507,0.003224054,0.9950383,0.00023711435,0.000013027923,0.00053122034],"study_design_scores_gemma":[0.0022571022,0.00637218,0.8326426,0.00010431411,0.000012047281,0.0010027897,0.000058414742,0.0041762185,0.14039831,0.01215658,0.0005444749,0.00027497998],"about_ca_topic_score_codex":0.0000139278845,"about_ca_topic_score_gemma":0.0000027783194,"teacher_disagreement_score":0.85463995,"about_ca_system_score_codex":0.000043512464,"about_ca_system_score_gemma":0.000044034277,"threshold_uncertainty_score":0.2902814},"labels":[],"label_agreement":null},{"id":"W2168345951","doi":"","title":"Slow, Decorrelated Features for Pretraining Complex Cell-like Networks","year":2009,"lang":"en","type":"article","venue":"Neural Information Processing Systems","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"MNIST database; Computer science; Artificial intelligence; Artificial neural network; Pattern recognition (psychology); Layer (electronics); Algorithm; Function (biology); Word error rate","score_opus":0.029110924426703162,"score_gpt":0.2613746542383049,"score_spread":0.23226372981160176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168345951","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50947845,0.00059726357,0.4216293,0.003114754,0.014701177,0.0071767867,0.00014334568,0.0034930578,0.03966585],"genre_scores_gemma":[0.99546367,0.000006327044,0.00017686376,0.0033481761,0.00017728444,0.000041602114,0.00009840679,0.000013719607,0.00067394273],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984719,0.00005405644,0.00056200265,0.00023234806,0.00029428618,0.00038537284],"domain_scores_gemma":[0.9990301,0.00012035048,0.00045304763,0.00015636339,0.00014736361,0.00009275318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020628312,0.00021380388,0.00021141014,0.00014803189,0.00055520143,0.00076790224,0.00022124601,0.0001441091,0.0000042106108],"category_scores_gemma":[0.0001344595,0.00018286143,0.00007746896,0.00040303878,0.000034537414,0.002088967,0.000017981842,0.0002444015,0.000012639991],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052114745,0.00013314332,0.00014946013,0.0009330806,0.000009129609,0.0000073535575,0.0028272,0.41321263,0.09962649,0.005403892,0.042894498,0.43428198],"study_design_scores_gemma":[0.0005641793,0.0002047037,0.00062019477,0.00006721352,0.000009658266,0.00007546465,0.00013374291,0.99127436,0.0009020173,0.000064208034,0.00585658,0.00022765443],"about_ca_topic_score_codex":0.0000053753824,"about_ca_topic_score_gemma":5.257507e-7,"teacher_disagreement_score":0.57806176,"about_ca_system_score_codex":0.000052533305,"about_ca_system_score_gemma":0.000031697135,"threshold_uncertainty_score":0.7456873},"labels":[],"label_agreement":null},{"id":"W2168497148","doi":"10.1371/journal.pone.0006507","title":"Dopamine Modulates Persistent Synaptic Activity and Enhances the Signal-to-Noise Ratio in the Prefrontal Cortex","year":2009,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":171,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Center for Research Resources; National Institute of Neurological Disorders and Stroke; National Institute on Drug Abuse; National Institutes of Health; Tula Foundation; National Institute on Alcohol Abuse and Alcoholism; National Alliance for Research on Schizophrenia and Depression","keywords":"Ventral tegmental area; Neuroscience; Dopamine; Excitatory postsynaptic potential; Prefrontal cortex; Tonic (physiology); Chemistry; Stimulation; Midbrain; Biology; Endocrinology; Inhibitory postsynaptic potential; Dopaminergic; Central nervous system; Cognition","score_opus":0.035479586756868964,"score_gpt":0.22404531115608498,"score_spread":0.188565724399216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168497148","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947482,0.000039105686,0.00003664347,0.004419629,0.000027516287,0.0004487166,0.000004796112,0.000018837221,0.00025655128],"genre_scores_gemma":[0.9985198,0.000046082332,0.000018756587,0.0011338597,0.000039531868,0.000021089438,8.602593e-7,0.000004412872,0.00021564699],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99913955,0.000113097834,0.00009356905,0.00024757997,0.00025112883,0.00015505173],"domain_scores_gemma":[0.99953467,0.00021722232,0.00004124083,0.00016248312,0.000012851054,0.00003156188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013863415,0.000093424074,0.00010672807,0.000032884196,0.00015377752,0.00007969378,0.00015961043,0.000022385218,0.000011428482],"category_scores_gemma":[0.0001122926,0.000052373365,0.000029584911,0.00015833096,0.000056965924,0.00013434325,0.000028047536,0.00013475074,0.000010125301],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050039118,0.00042159084,0.000081290455,0.0000060693756,0.000006467446,0.000004576278,0.0002842615,0.00007696292,0.9975021,0.00013307709,0.0000055408295,0.0014280304],"study_design_scores_gemma":[0.0003907267,0.0016519313,0.2365769,0.000074079544,0.000077507655,0.0000198865,0.00020443945,0.17701985,0.5830498,0.00067653216,0.000015011063,0.00024334302],"about_ca_topic_score_codex":0.000020926636,"about_ca_topic_score_gemma":0.000045702054,"teacher_disagreement_score":0.4144523,"about_ca_system_score_codex":0.000022102675,"about_ca_system_score_gemma":0.0000077535315,"threshold_uncertainty_score":0.21357238},"labels":[],"label_agreement":null},{"id":"W2168609975","doi":"10.1111/j.1460-9568.2004.03462.x","title":"Experimental evidence and modeling studies support a synchronizing role for electrical coupling in the cat thalamic reticular neurons <i>in vivo</i>","year":2004,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Institute of Neurological Disorders and Stroke; Howard Hughes Medical Institute","keywords":"Neuroscience; Excitatory postsynaptic potential; Thalamic reticular nucleus; Gap junction; Reticular connective tissue; Thalamus; Coupling (piping); Nucleus; Postsynaptic potential; Bursting; Biology; Electrophysiology; Reticular formation; Extracellular; Premovement neuronal activity; Inhibitory postsynaptic potential; Anatomy; Cell biology; Intracellular; Materials science; Receptor","score_opus":0.0866660407285199,"score_gpt":0.31454921565358,"score_spread":0.2278831749250601,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168609975","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99607545,0.00048795796,0.001861591,0.0009006188,0.0003648119,0.00025904705,0.0000013052537,0.000010514117,0.00003872319],"genre_scores_gemma":[0.9976234,0.0005152371,0.00016749807,0.001592893,0.00006835601,0.0000045029196,4.1398152e-8,0.000020362299,0.000007753659],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979386,0.00026935225,0.0005268328,0.00043185212,0.00044717354,0.00038622378],"domain_scores_gemma":[0.99908465,0.00040971304,0.00021871914,0.00016645678,0.000048326438,0.00007211728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015505749,0.00017035648,0.00021518803,0.00019302858,0.00025018843,0.00015496681,0.0005508297,0.000014123704,4.880687e-7],"category_scores_gemma":[0.0017509059,0.00012172625,0.00007651256,0.00052950485,0.0002013509,0.0005863014,0.00011285668,0.00031575214,8.0808553e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048204198,0.0000813035,0.000095633295,0.000008292011,4.3261758e-7,0.0005406469,0.00076325383,0.073799275,0.9243316,0.0002457476,0.0000050480653,0.000080535254],"study_design_scores_gemma":[0.0020269246,0.003098974,0.0026847937,0.00045300607,0.00002164753,0.0031477206,0.0012118202,0.8565553,0.1297412,0.000579902,0.00010923451,0.00036950718],"about_ca_topic_score_codex":0.0000028624636,"about_ca_topic_score_gemma":0.000002155103,"teacher_disagreement_score":0.7945904,"about_ca_system_score_codex":0.00010110468,"about_ca_system_score_gemma":0.00007987504,"threshold_uncertainty_score":0.49638522},"labels":[],"label_agreement":null},{"id":"W2168624057","doi":"10.1016/j.tics.2012.04.007","title":"The feature-binding problem is an ill-posed problem","year":2012,"lang":"en","type":"review","venue":"Trends in Cognitive Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":100,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Perception; Psychology; Unitary state; Feature (linguistics); Rendering (computer graphics); Cognitive science; Communication; Code (set theory); Artificial intelligence; Pattern recognition (psychology); Theoretical computer science; Computer science; Cognitive psychology; Neuroscience; Programming language; Linguistics","score_opus":0.30501659537816844,"score_gpt":0.42963354498383477,"score_spread":0.12461694960566633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168624057","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00035502968,0.9229802,0.000011203751,0.0006792844,0.0016081968,0.001424047,0.00027065404,0.00015634725,0.07251506],"genre_scores_gemma":[0.0016810246,0.9878248,0.00018116017,0.0003900221,0.00028725268,0.00025423066,0.00004253944,0.000046048997,0.009292934],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99582964,0.00067232514,0.0005187913,0.0012597629,0.00077402993,0.00094547],"domain_scores_gemma":[0.99758077,0.0013794873,0.0005383621,0.00027403102,0.00007653449,0.00015084785],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016445158,0.0005232346,0.0007258469,0.00065911055,0.0012680393,0.0005987237,0.0010925456,0.00022664477,0.0001276682],"category_scores_gemma":[0.0002521904,0.00029343925,0.00027335403,0.003451152,0.001125939,0.00075066346,0.00022313239,0.000779153,0.00011570254],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000052726664,0.000062134015,0.000010883507,0.00022141178,0.000005676934,0.000007091373,0.00018790184,2.4413487e-7,0.00004761505,0.0010110995,0.0001676062,0.9982731],"study_design_scores_gemma":[0.0002880226,0.0004269673,0.000031883214,0.0042825434,0.0002468785,0.00012317121,0.0002139551,0.00018605753,0.00018938695,0.0012138699,0.9918627,0.00093456235],"about_ca_topic_score_codex":0.000016884786,"about_ca_topic_score_gemma":0.000099751,"teacher_disagreement_score":0.9973385,"about_ca_system_score_codex":0.00010188662,"about_ca_system_score_gemma":0.00016727617,"threshold_uncertainty_score":0.9999518},"labels":[],"label_agreement":null},{"id":"W2168864682","doi":"10.1109/iembs.1990.692065","title":"Cortical Computation Of Motion Energy- Location Of The Squarer","year":2005,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Visual cortex; Thresholding; Computation; Computer science; White noise; Computer vision; Artificial intelligence; Algorithm; Neuroscience; Image (mathematics); Telecommunications","score_opus":0.020067485673886883,"score_gpt":0.2446165261273117,"score_spread":0.2245490404534248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168864682","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8622395,0.0000035679968,0.13480845,0.00082910317,0.00016700619,0.00006383984,0.0000010002665,0.000015504014,0.0018720677],"genre_scores_gemma":[0.9993433,0.0000020320074,0.00008355341,0.0003096312,0.000021889531,0.0000012356998,8.7304744e-7,0.0000028754293,0.00023463907],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995069,0.000054539967,0.00014989304,0.00008965194,0.00015102488,0.00004802833],"domain_scores_gemma":[0.9997037,0.00005915766,0.00007861201,0.000079684345,0.000067762936,0.000011105764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000051529245,0.000033689274,0.00004591718,0.000023335573,0.000033767446,0.00000422855,0.00005463454,0.00002102526,0.000017690685],"category_scores_gemma":[0.00012051637,0.000021757418,0.000024053072,0.00024302602,0.000051886695,0.00007533327,0.000016874425,0.000031499218,0.0000031485813],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000135955015,0.0000998092,0.0005220416,0.000013604283,8.793091e-7,4.854953e-8,0.000032788837,0.024441447,0.8922175,0.05881185,0.00017831876,0.023668109],"study_design_scores_gemma":[0.000107068394,0.000036820147,0.01995295,0.000008395728,0.0000037407583,0.000001986863,0.000007568629,0.44232297,0.53673106,0.0007186398,0.00008116006,0.000027644777],"about_ca_topic_score_codex":0.000018711871,"about_ca_topic_score_gemma":0.0000112371235,"teacher_disagreement_score":0.41788152,"about_ca_system_score_codex":0.000012817117,"about_ca_system_score_gemma":0.000010364566,"threshold_uncertainty_score":0.08872417},"labels":[],"label_agreement":null},{"id":"W2168958989","doi":"10.1109/ijcnn.2011.6033211","title":"A multi-state model of cortical memory","year":2011,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Cégep Marie-Victorin","funders":"","keywords":"Macaque; Computer science; Cortex (anatomy); Property (philosophy); Neuroscience; Information flow; Psychology","score_opus":0.13667364516404387,"score_gpt":0.27287849266611935,"score_spread":0.13620484750207548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168958989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9544875,7.1088624e-7,0.031007316,0.00002657097,0.00010227301,0.00007268983,0.00000501733,0.000042206484,0.014255687],"genre_scores_gemma":[0.9913821,0.0000040931345,0.0033698943,0.00044563148,0.0000030201093,0.00000226483,1.5303247e-7,0.000005453776,0.0047873436],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995389,0.00002018837,0.00011130102,0.00014276404,0.000086303146,0.00010052364],"domain_scores_gemma":[0.99977297,0.00003242188,0.000027950617,0.00011229527,0.000015066213,0.00003929608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000046212335,0.00004623264,0.0000617949,0.000026077683,0.00002624336,0.0000034763952,0.00007781948,0.00001632992,0.00010243109],"category_scores_gemma":[0.00009139362,0.000034556862,0.00003132331,0.00005954831,0.00006175173,0.00006647878,0.000034108663,0.000057650617,0.00003297648],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023931963,0.00008646773,0.00006979635,0.0000036390545,5.9846616e-7,0.0000027074727,0.000114553965,0.00024031359,0.9948474,0.003797305,0.000033200122,0.00078009197],"study_design_scores_gemma":[0.00011911246,0.000035862908,0.00067796017,0.0000010940566,0.0000016513417,0.0000020799014,0.000005835914,0.62480724,0.3731773,0.0011326455,0.0000028323195,0.000036380938],"about_ca_topic_score_codex":0.00002157073,"about_ca_topic_score_gemma":0.0000085112715,"teacher_disagreement_score":0.624567,"about_ca_system_score_codex":0.000004082272,"about_ca_system_score_gemma":0.000010099442,"threshold_uncertainty_score":0.14091879},"labels":[],"label_agreement":null},{"id":"W2168961161","doi":"10.1093/cercor/bht261","title":"Capturing with EEG the Neural Entrainment and Coupling Underlying Sensorimotor Synchronization to the Beat","year":2013,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":134,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; École de Technologie Supérieure; International Laboratory for Brain, Music and Sound Research","funders":"Canadian Institutes of Health Research","keywords":"Beat (acoustics); Entrainment (biomusicology); Rhythm; Electroencephalography; Sensory system; Neuroscience; Psychology; Communication; Speech recognition; Computer science; Physics; Acoustics","score_opus":0.023068180306670547,"score_gpt":0.2287433186258295,"score_spread":0.20567513831915896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168961161","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99156576,0.000018110408,0.0019337186,0.005171124,0.00030417857,0.0007562168,0.0000029849236,0.000053076637,0.00019483149],"genre_scores_gemma":[0.99689054,0.0000074204386,0.000037362137,0.0027124286,0.0000807885,0.000039176823,0.00000204709,0.00001885057,0.00021135608],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902827,0.000037588637,0.00012640157,0.00031487763,0.00022999916,0.00026284557],"domain_scores_gemma":[0.9994809,0.00014250787,0.00005815307,0.0002117152,0.000029259074,0.000077440316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007969846,0.00013506459,0.00008461168,0.00002610842,0.00051124825,0.00027576214,0.00015183503,0.000025833502,0.000046767324],"category_scores_gemma":[0.00005784131,0.00006804806,0.000022452885,0.00017080498,0.00007827633,0.00018854381,0.00007899186,0.00015249335,0.00003353575],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011248824,0.00008103152,0.015736228,0.000082333376,0.000036113517,0.00003192887,0.002818375,0.024820026,0.9016212,0.007516478,0.0011928786,0.045950886],"study_design_scores_gemma":[0.00048160856,0.00032443943,0.13809125,0.000042935702,0.000033646418,0.00013292354,0.00079677755,0.85253376,0.006119617,0.0003808548,0.0007243342,0.00033785542],"about_ca_topic_score_codex":0.000098020086,"about_ca_topic_score_gemma":0.000044940385,"teacher_disagreement_score":0.8955016,"about_ca_system_score_codex":0.000050880924,"about_ca_system_score_gemma":0.000012822917,"threshold_uncertainty_score":0.39321598},"labels":[],"label_agreement":null},{"id":"W2169018224","doi":"10.1093/scan/nsu013","title":"Escape from harm: linking affective vision and motor responses during active avoidance","year":2014,"lang":"en","type":"article","venue":"Social Cognitive and Affective Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Mental Health; Canadian Institutes of Health Research","keywords":"Psychology; Aversive Stimulus; Neuroscience; Perception; Sensory system; Action (physics); Population; Neural correlates of consciousness; Visual perception; Sensory cue; Visual processing; Avoidance response; Cognitive psychology; Cognition","score_opus":0.021239325403742265,"score_gpt":0.2847922516848546,"score_spread":0.2635529262811124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169018224","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962658,0.000023638071,0.0011803885,0.00029212,0.0005111752,0.00058282074,0.0001718398,0.00011376671,0.0008584234],"genre_scores_gemma":[0.99808186,0.00008986269,0.000013890219,0.001291627,0.00027370395,0.00004845068,0.0000027325743,0.000030073774,0.00016782038],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99664205,0.0009998549,0.00017183206,0.0013140341,0.00040813495,0.00046410479],"domain_scores_gemma":[0.9967752,0.0026594084,0.00019508933,0.00010502534,0.00011197556,0.00015331886],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0003102068,0.00033369346,0.00032373788,0.00016274961,0.0017945793,0.00028080243,0.00016064613,0.000110882596,0.0000057531624],"category_scores_gemma":[0.003453374,0.0003038768,0.000085322994,0.00048228906,0.0010112242,0.0008479021,0.00029218025,0.00046701336,0.000008534417],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005268692,0.00006439228,0.0019848458,0.00001738897,0.0000030606243,0.0000145673475,0.0010231993,6.980058e-7,0.97218776,0.0004666677,0.000003402167,0.023707164],"study_design_scores_gemma":[0.0010466907,0.0007520862,0.68922704,0.000110321314,0.00002840732,0.000018080902,0.00033256283,0.0020943373,0.30297568,0.0029638687,0.00007563748,0.00037528746],"about_ca_topic_score_codex":0.000044941207,"about_ca_topic_score_gemma":0.000019469775,"teacher_disagreement_score":0.6872422,"about_ca_system_score_codex":0.000053723837,"about_ca_system_score_gemma":0.000029631978,"threshold_uncertainty_score":0.99994135},"labels":[],"label_agreement":null},{"id":"W2169049474","doi":"10.1113/jphysiol.2013.268060_2","title":"Republication of <i>The Journal of Physiology</i> (2009) 587, 2733–2741: An introduction to the work of David Hubel and Torsten Wiesel","year":2013,"lang":"en","type":"article","venue":"The Journal of Physiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Psychoanalysis; Editorial board; Watson; Cognitive science; Art history; Philosophy; Neuroscience; Psychology; Art; Library science; Computer science; Artificial intelligence","score_opus":0.01563132355200741,"score_gpt":0.2355920042294309,"score_spread":0.2199606806774235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169049474","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98519796,0.000067915644,0.00008163323,0.013375861,0.0010555234,0.0001991998,0.0000037106336,0.0000028126135,0.000015377296],"genre_scores_gemma":[0.99787456,0.00017365707,0.000058077512,0.00089390523,0.0008890171,0.0000016947621,5.2354204e-7,0.000009700259,0.00009885529],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979216,0.0008936422,0.0006363737,0.00013065083,0.00024703328,0.0001707244],"domain_scores_gemma":[0.997149,0.00038790386,0.0014864102,0.00043593696,0.0004825166,0.000058220907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010542333,0.00011585309,0.0003071674,0.00009901591,0.00014731778,0.0000128413385,0.00067102874,0.000063710984,0.000043001903],"category_scores_gemma":[0.000707455,0.000052641462,0.000096017924,0.00042920985,0.00036310148,0.00034625,0.00012865044,0.00037884078,0.0000020927025],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036498398,0.00008429143,0.00007901238,0.000011154249,0.000015889787,6.7123516e-8,0.00046588227,0.0013209399,0.99021316,0.0002525268,0.005517604,0.0016744742],"study_design_scores_gemma":[0.0010821257,0.0042212484,0.41295505,0.00008756608,0.00019516729,0.0005522721,0.00089232554,0.0011005141,0.55817556,0.013997129,0.0065174457,0.00022355629],"about_ca_topic_score_codex":0.000026983576,"about_ca_topic_score_gemma":0.000004689184,"teacher_disagreement_score":0.4320376,"about_ca_system_score_codex":0.000023490878,"about_ca_system_score_gemma":0.000051299903,"threshold_uncertainty_score":0.21466565},"labels":[],"label_agreement":null},{"id":"W2169090997","doi":"10.1162/neco.2008.07-06-295","title":"Solving the Problem of Negative Synaptic Weights in Cortical Models","year":2008,"lang":"en","type":"article","venue":"Neural Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":95,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Toronto","funders":"","keywords":"Constraint (computer-aided design); Constructive; Computer science; Feed forward; Artificial neural network; Feedforward neural network; Artificial intelligence; Mathematics","score_opus":0.0496745408348768,"score_gpt":0.25852841988599284,"score_spread":0.20885387905111605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169090997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939453,0.0000061920223,0.004604265,0.000420616,0.00009959079,0.00026492684,0.0000016009158,0.000030766165,0.0006267374],"genre_scores_gemma":[0.9991941,0.000008362789,0.00047892626,0.00025580596,0.000020227113,0.000008559217,0.0000015318484,0.0000075839152,0.000024898874],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990235,0.0001750225,0.00023628128,0.0002059357,0.00021601604,0.00014323383],"domain_scores_gemma":[0.99917316,0.00059586443,0.00009770699,0.00006953643,0.000039496124,0.000024238661],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000078572986,0.00008170433,0.00010825705,0.0000656241,0.00015449387,0.000014045589,0.00009925124,0.000029530043,0.0000034276811],"category_scores_gemma":[0.000074755284,0.000055912045,0.000038062397,0.00030061492,0.00012574396,0.0002403982,0.000035142737,0.00018423233,0.0000046856476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001932541,0.00021464648,0.001258423,0.000044834695,0.0000069480166,0.00007599377,0.0037043544,0.6766993,0.27903077,0.028149009,0.00007295466,0.010549489],"study_design_scores_gemma":[0.00023568793,0.000113264316,0.0078080096,0.00001203593,0.0000030140989,0.000045701065,0.00001826323,0.9658253,0.0067405133,0.01913403,0.0000027034969,0.00006147735],"about_ca_topic_score_codex":0.00003516433,"about_ca_topic_score_gemma":0.000012492727,"teacher_disagreement_score":0.28912598,"about_ca_system_score_codex":0.000025606532,"about_ca_system_score_gemma":0.000018597808,"threshold_uncertainty_score":0.2280027},"labels":[],"label_agreement":null},{"id":"W2169166226","doi":"10.1109/iembs.2005.1617259","title":"Prevention of Spontaneous Seizure-like Events in Both in-silico and in-vitro Epilepsy Models","year":2005,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"In silico; Hippocampal formation; Local field potential; Epilepsy; Neuroscience; Inhibitory postsynaptic potential; Excitatory postsynaptic potential; In vitro; Coupling (piping); Computer science; Chemistry; Biology; Materials science; Biochemistry","score_opus":0.02160303843423428,"score_gpt":0.24961516313199392,"score_spread":0.22801212469775964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169166226","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99758047,0.000015214864,0.0002545952,0.0002535014,0.00007880819,0.00023876167,0.0000036362394,0.000012280833,0.0015627274],"genre_scores_gemma":[0.99774057,0.00006774614,0.00012362684,0.0002672299,0.000012102586,0.000008774814,0.0000012169743,0.000007933862,0.0017707795],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990543,0.000082220664,0.00026908083,0.00027798302,0.00013925572,0.0001771555],"domain_scores_gemma":[0.9997118,0.00008575134,0.000055400677,0.0001115826,0.0000059730546,0.000029468845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015959049,0.000087537024,0.00014129694,0.00018577043,0.000013270686,0.0000054614356,0.00007577641,0.000050911294,0.000019045634],"category_scores_gemma":[0.000036550107,0.00007344704,0.000025827252,0.0002166195,0.000023072047,0.00026017628,0.000041046096,0.00009232842,0.0000034491843],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044111867,0.00032802531,0.005211649,0.000022266357,9.2290975e-7,0.00008840959,0.00011680823,0.0044369027,0.95745635,0.0015408271,0.000012515403,0.0303442],"study_design_scores_gemma":[0.0047276416,0.0003994012,0.15962894,0.0002259721,0.0000072323573,0.0005383785,0.000069514266,0.66358453,0.13502365,0.034916658,0.0003031841,0.0005748808],"about_ca_topic_score_codex":0.0000648779,"about_ca_topic_score_gemma":0.001143907,"teacher_disagreement_score":0.8224327,"about_ca_system_score_codex":0.000059974358,"about_ca_system_score_gemma":0.000015317797,"threshold_uncertainty_score":0.29950833},"labels":[],"label_agreement":null},{"id":"W2169320233","doi":"10.1016/j.tins.2015.08.009","title":"Long-Range Attention Networks: Circuit Motifs Underlying Endogenously Controlled Stimulus Selection","year":2015,"lang":"en","type":"review","venue":"Trends in Neurosciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":119,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; York University","funders":"Canadian Institutes of Health Research","keywords":"Disinhibition; Neuroscience; Stimulus (psychology); Gating; Computer science; Feed forward; Psychology; Cognitive psychology","score_opus":0.20657619895028095,"score_gpt":0.3671446975562859,"score_spread":0.16056849860600497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169320233","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018720524,0.9718854,0.0022417954,0.00010509946,0.015882853,0.0027595763,0.00007135095,0.00065745227,0.004524443],"genre_scores_gemma":[0.044114955,0.9494767,0.00001024185,0.00018264538,0.0003324426,0.0002722795,0.000035062247,0.000095559524,0.005480102],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99394745,0.0011643271,0.0011456647,0.0017535724,0.0010184121,0.0009705998],"domain_scores_gemma":[0.9977066,0.0007096343,0.00085852307,0.00043306587,0.000063429216,0.00022872578],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010982518,0.00073829223,0.0019115859,0.0014623402,0.00047729808,0.00050701865,0.000943406,0.00033467033,0.000056507724],"category_scores_gemma":[0.00059323135,0.00058205635,0.000605954,0.0045529692,0.00032525868,0.0006016402,0.00015715773,0.0008948827,0.00004137249],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042944463,0.00024081738,0.00012620269,0.00047379438,0.00000843738,0.00014283114,0.000027875638,0.002030216,0.00028311077,0.0003764515,0.00012300893,0.9961243],"study_design_scores_gemma":[0.014961522,0.005121858,0.0022420126,0.009131981,0.0023229753,0.0038489418,0.000080813385,0.48682126,0.0000200397,0.0022079553,0.46624094,0.0069996864],"about_ca_topic_score_codex":0.00005092419,"about_ca_topic_score_gemma":0.0001603491,"teacher_disagreement_score":0.9891246,"about_ca_system_score_codex":0.00036928547,"about_ca_system_score_gemma":0.00021355586,"threshold_uncertainty_score":0.9996631},"labels":[],"label_agreement":null},{"id":"W2169483133","doi":"10.1016/s0028-3908(99)00239-7","title":"Clozapine inhibits synaptic transmission at GABAergic synapses established by ventral tegmental area neurones in culture","year":2000,"lang":"en","type":"article","venue":"Neuropharmacology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Medical Research Council","keywords":"GABAergic; Neuroscience; Ventral tegmental area; Clozapine; Neurotransmission; Inhibitory postsynaptic potential; Dopaminergic; GABAA receptor; Dopamine; Pharmacology; Chemistry; Biology; Receptor; Psychology; Schizophrenia (object-oriented programming); Biochemistry","score_opus":0.012942112586082095,"score_gpt":0.24710353319921302,"score_spread":0.23416142061313092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169483133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961813,0.00030815,0.0000040395194,0.00127797,0.0007784106,0.0004616188,0.000051785777,0.0001542477,0.0007824719],"genre_scores_gemma":[0.98769426,0.002872147,0.000009716575,0.005866019,0.00008080273,0.000043014923,0.000034989636,0.000046673904,0.0033524025],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9973913,0.00040994768,0.0004086711,0.00086450105,0.00027243196,0.0006531572],"domain_scores_gemma":[0.9992453,0.00022347533,0.00009048567,0.00017390159,0.000015635316,0.00025120628],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000715641,0.00033569805,0.00031525936,0.00013104208,0.00022275173,0.000050115763,0.0003100639,0.00014409421,0.0039983387],"category_scores_gemma":[0.00007367762,0.00029473842,0.000104155464,0.0005051544,0.0001755293,0.00031574795,0.0000766489,0.0005099014,0.00016637842],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006635524,0.0003405348,0.00017261093,0.000022206257,0.0000044811973,0.0006157346,0.00006601311,0.0004735359,0.98167557,0.00001629387,0.007127539,0.008821932],"study_design_scores_gemma":[0.0045841,0.0013870407,0.0016412535,0.000031964864,0.00005524014,0.00085245864,0.000012461963,0.017842704,0.84222114,0.0000639004,0.13071398,0.00059374276],"about_ca_topic_score_codex":0.000016581535,"about_ca_topic_score_gemma":0.0000063754846,"teacher_disagreement_score":0.13945441,"about_ca_system_score_codex":0.00010693212,"about_ca_system_score_gemma":0.000028861876,"threshold_uncertainty_score":0.99995047},"labels":[],"label_agreement":null},{"id":"W2169640983","doi":"10.1111/j.0953-816x.2004.03296.x","title":"Lateral inhibition and habituation of the human auditory cortex","year":2004,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre; Baycrest Hospital; University of Toronto","funders":"","keywords":"Habituation; Auditory cortex; Neuroscience; Magnetoencephalography; Psychology; Cortex (anatomy); Electroencephalography","score_opus":0.026209900983230557,"score_gpt":0.23971458236990786,"score_spread":0.2135046813866773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169640983","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970436,0.0000047145977,0.00041783057,0.00060802995,0.0012558867,0.00006515269,0.0000023153104,0.000007992236,0.00059445406],"genre_scores_gemma":[0.99893445,0.000016720258,0.000029359791,0.0007972252,0.000121566845,1.327643e-7,7.107784e-8,0.000009112566,0.00009135705],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987467,0.00026242036,0.00033088075,0.00017164923,0.00037124273,0.00011711471],"domain_scores_gemma":[0.9992465,0.000034688055,0.00047185726,0.00012992475,0.00005861253,0.000058466303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042580697,0.00007992872,0.000091231705,0.000083096245,0.000234204,0.00005628524,0.00023683997,0.000009503508,0.0000021281664],"category_scores_gemma":[0.00038219505,0.000053113155,0.000059939124,0.0002621521,0.0003510761,0.00036359584,0.000088168286,0.0001960262,0.000002141364],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000069108496,0.00003278163,0.00020961733,0.0000050837875,2.0273465e-7,0.000041344294,0.0000840762,0.00030728118,0.9979985,0.0008775476,0.000024922807,0.00041173797],"study_design_scores_gemma":[0.00068800856,0.00062061567,0.8231941,0.00011457826,0.000008332912,0.0006167144,0.000010398982,0.00021997844,0.17259973,0.0013144603,0.00051714526,0.00009594143],"about_ca_topic_score_codex":0.00000111433,"about_ca_topic_score_gemma":6.8094954e-7,"teacher_disagreement_score":0.82539874,"about_ca_system_score_codex":0.000020494861,"about_ca_system_score_gemma":0.00003072208,"threshold_uncertainty_score":0.21658915},"labels":[],"label_agreement":null},{"id":"W2169897616","doi":"10.1063/1.1938487","title":"Estimation of coupling between oscillators from short time series via phase dynamics modeling: Limitations and application to EEG data","year":2005,"lang":"en","type":"article","venue":"Chaos An Interdisciplinary Journal of Nonlinear Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Toronto Western Hospital; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Estimator; Coupling (piping); Series (stratigraphy); White noise; Focus (optics); Nonlinear system; Noise (video); Gaussian; Computer science; Gaussian noise; Time series; Statistical physics; Electroencephalography; Physics; Mathematics; Algorithm; Artificial intelligence; Statistics; Engineering; Machine learning; Telecommunications; Quantum mechanics","score_opus":0.06096685621264082,"score_gpt":0.36087759365290006,"score_spread":0.29991073744025926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169897616","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7062331,0.000008667297,0.29243636,0.00088240334,0.00011334169,0.00013502665,0.00015915111,0.000013259996,0.000018685601],"genre_scores_gemma":[0.9731264,0.000016897555,0.026522921,0.00004392119,0.00020301572,0.0000017726043,0.000060589344,0.000014305323,0.000010185249],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99816424,0.00002522349,0.00064059615,0.0004617073,0.0005121647,0.00019605282],"domain_scores_gemma":[0.9986302,0.00014555582,0.0002973583,0.00046358036,0.00022768631,0.00023559223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007326121,0.00014646054,0.00024924363,0.0003345631,0.0004384436,0.00012142818,0.0008684179,0.00004633018,0.000004608022],"category_scores_gemma":[0.00025588207,0.00012875613,0.000039720213,0.0005811288,0.00031262226,0.0024700938,0.0006953103,0.0001863508,0.000007168631],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015909034,0.0002590532,0.00025193562,0.0000112731095,0.000008072075,0.0000040454065,0.0010156233,0.33747974,0.46984887,0.0001191982,0.000010148495,0.19083294],"study_design_scores_gemma":[0.0001951309,0.00056102494,0.0003883681,0.000051053168,0.000026785629,0.000047563604,0.00019955459,0.9879781,0.009616649,0.0007907073,0.000014473957,0.00013060914],"about_ca_topic_score_codex":0.000004629415,"about_ca_topic_score_gemma":0.000020383686,"teacher_disagreement_score":0.65049833,"about_ca_system_score_codex":0.00010312392,"about_ca_system_score_gemma":0.000108616325,"threshold_uncertainty_score":0.5250523},"labels":[],"label_agreement":null},{"id":"W2170161217","doi":"10.1007/s00221-007-0854-y","title":"Development of visual texture segregation during the first year of life: a high-density electrophysiological study","year":2007,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Université du Québec à Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Electrophysiology; Scalp; Synaptogenesis; Psychology; Audiology; P200; Electroencephalography; Neuroscience; Visual perception; Visual cortex; Perception; Developmental psychology; Biology; Anatomy; Medicine","score_opus":0.050437384036687447,"score_gpt":0.3665358613704808,"score_spread":0.3160984773337933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170161217","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990298,0.000013358978,0.000028454435,0.0001684456,0.000068815214,0.00055997685,0.0000014677333,0.000017835382,0.00011184378],"genre_scores_gemma":[0.9995928,0.0000013278709,0.00009975224,0.000065840584,0.000050446335,0.00002000724,0.0000018771567,0.000010517175,0.00015743329],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99802005,0.00022030856,0.00029404773,0.00032546348,0.00081496174,0.00032519436],"domain_scores_gemma":[0.9991291,0.00047232836,0.000080722886,0.0001864859,0.000068968526,0.00006238121],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009949676,0.000100661775,0.00014736784,0.000115240924,0.0004269856,0.00002245209,0.0002587481,0.000052452313,0.00006496041],"category_scores_gemma":[0.00041823275,0.000067186964,0.000040599865,0.0005052367,0.0002247093,0.00006637881,0.00028186952,0.00029705046,0.000015066016],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006469499,0.0007500196,0.000906722,0.0000119864435,0.0000067501483,0.000007638487,0.0011297514,0.0000049460614,0.9953295,0.000736623,0.00005576061,0.00041336045],"study_design_scores_gemma":[0.00045075375,0.0007701169,0.1512075,0.000006752694,5.8285906e-7,0.0000018025758,0.0019248948,0.00010438693,0.8453719,0.000051425053,0.000048796144,0.000061108185],"about_ca_topic_score_codex":0.000052052997,"about_ca_topic_score_gemma":0.00004171867,"teacher_disagreement_score":0.15030077,"about_ca_system_score_codex":0.00011541703,"about_ca_system_score_gemma":0.000052543593,"threshold_uncertainty_score":0.3284071},"labels":[],"label_agreement":null},{"id":"W2170402577","doi":"10.1093/cercor/bhj125","title":"Multiparametric Changes in the Receptive Field of Cortical Auditory Neurons Induced by Thalamic Activation in the Mouse","year":2006,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Fondation pour la Recherche Médicale; University of Calgary","keywords":"Neuroscience; Receptive field; Thalamus; Auditory cortex; Sensory system; Cortex (anatomy); Neuroplasticity; Stimulation; Psychology","score_opus":0.02688399047520869,"score_gpt":0.2637347930559929,"score_spread":0.23685080258078423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170402577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99667156,0.0000036489855,0.000035277695,0.0018460825,0.00018695387,0.0004074608,0.000008005357,0.0000151754075,0.00082583056],"genre_scores_gemma":[0.99787724,0.0000067949895,0.0000042660445,0.0018624318,0.00008452246,0.00003381599,0.000009110922,0.000008790246,0.00011303384],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986537,0.00039158753,0.00020512225,0.00026505816,0.00027792322,0.00020657867],"domain_scores_gemma":[0.9983841,0.0012766486,0.000114273425,0.00019471874,0.000016755283,0.000013472135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022111826,0.00011261928,0.00012115208,0.00014465062,0.0000758209,0.000032201177,0.00029873868,0.00008080388,0.000020646894],"category_scores_gemma":[0.00064612326,0.00006993567,0.000037549973,0.00082648906,0.00006511933,0.0001182079,0.000030706873,0.00043530005,0.0000058322125],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042305448,0.0001940828,0.0027583474,0.0000057678863,6.7335253e-7,0.00000320673,0.00023805856,0.000020045365,0.9923809,0.0009272092,0.0017542744,0.0016751022],"study_design_scores_gemma":[0.0007944707,0.00069998525,0.7265866,0.000017847457,0.000009421292,0.000010385815,0.00056698854,0.0066926423,0.2632027,0.00086938293,0.00032541322,0.00022419759],"about_ca_topic_score_codex":0.00042010235,"about_ca_topic_score_gemma":0.00039101904,"teacher_disagreement_score":0.72917825,"about_ca_system_score_codex":0.000033453398,"about_ca_system_score_gemma":0.000014981082,"threshold_uncertainty_score":0.2851894},"labels":[],"label_agreement":null},{"id":"W2170610372","doi":"10.1523/jneurosci.20-22-08504.2000","title":"Spatial Frequency Maps in Cat Visual Cortex","year":2000,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":284,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Eye Institute; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Stryker","keywords":"Visual cortex; Orientation (vector space); Neuroscience; Spatial frequency; Preference; Psychology; Orientation column; Spatial organization; Cortex (anatomy); Electrophysiology; Physics; Optics; Striate cortex; Biology; Mathematics; Geometry; Evolutionary biology","score_opus":0.02280268655327986,"score_gpt":0.2749549545593713,"score_spread":0.2521522680060914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170610372","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962156,0.000008191507,0.00013858269,0.0006383376,0.001388109,0.000081497434,0.0000042765964,0.000012782477,0.0015126265],"genre_scores_gemma":[0.99693173,0.00013603941,0.00005651154,0.0021763833,0.00013518223,9.691194e-7,1.4043451e-7,0.000010086493,0.00055297464],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9982043,0.0001286335,0.0004721789,0.00030018928,0.0005851634,0.00030951996],"domain_scores_gemma":[0.9993524,0.00011298132,0.00022979613,0.00013172197,0.000038175855,0.00013493717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027637306,0.0001254027,0.00018368207,0.00021481537,0.00011507257,0.00009654687,0.0004495961,0.000040235187,0.00011930967],"category_scores_gemma":[0.0004845164,0.000101509315,0.00008362583,0.0006700406,0.00017465404,0.0006088115,0.000030274212,0.00028398156,0.00003158708],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004474873,0.00012407574,0.001811908,0.0000027413482,1.4642956e-7,0.00042705605,0.00003728688,0.00019160978,0.98398364,0.00014647978,0.00007780294,0.013152479],"study_design_scores_gemma":[0.0025869894,0.0042296853,0.79758394,0.00014384041,0.000019067867,0.00612249,0.000039261868,0.060208153,0.10910663,0.0073960586,0.011751322,0.00081254705],"about_ca_topic_score_codex":0.000040350333,"about_ca_topic_score_gemma":0.000021549005,"teacher_disagreement_score":0.87487704,"about_ca_system_score_codex":0.000057851626,"about_ca_system_score_gemma":0.000104363426,"threshold_uncertainty_score":0.41394296},"labels":[],"label_agreement":null},{"id":"W2170907775","doi":"10.1523/jneurosci.1868-11.2011","title":"Neural Basis of Adaptive Response Time Adjustment during Saccade Countermanding","year":2011,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":118,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Mental Health; Ontario Ministry of Research and Innovation; Canadian Institutes of Health Research; National Science Foundation; National Institutes of Health; National Eye Institute; Vanderbilt University","keywords":"Saccade; Macaque; Stop signal; Accumulator (cryptography); Neuroscience; Psychology; Computer science; Artificial intelligence; Eye movement; Algorithm","score_opus":0.057499141918227276,"score_gpt":0.25961034217905143,"score_spread":0.20211120026082416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170907775","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981851,0.000017019063,0.00016457445,0.00013391532,0.0010928018,0.00009743572,0.000009120918,0.000014063523,0.00028598536],"genre_scores_gemma":[0.999022,0.00004267031,0.00010770731,0.00040010977,0.00006030774,0.0000010598534,3.024136e-8,0.000012611799,0.00035350866],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99808735,0.00025738185,0.00050632714,0.00026880394,0.00060360885,0.0002765372],"domain_scores_gemma":[0.9986894,0.00022146897,0.0006781288,0.00018265101,0.00009286501,0.0001354512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048852165,0.00014223377,0.0002330395,0.0002981501,0.00014756674,0.000029605246,0.00051133794,0.000034873938,0.00003831845],"category_scores_gemma":[0.00079235417,0.000112524045,0.00013784973,0.00047865274,0.00023679656,0.0007110115,0.00011095174,0.00025668237,0.0000075458884],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013506784,0.00009356309,0.000273271,0.000006386346,0.0000011141657,0.00015799863,0.00022698658,0.00015067655,0.99729824,0.000084963576,0.000035894493,0.00032024618],"study_design_scores_gemma":[0.00059933396,0.001696049,0.20975977,0.00006649334,0.000019979367,0.0012880906,0.000051885585,0.014239261,0.77190936,0.00011740538,0.00009091763,0.00016148176],"about_ca_topic_score_codex":0.0000023247123,"about_ca_topic_score_gemma":2.4364252e-7,"teacher_disagreement_score":0.22538888,"about_ca_system_score_codex":0.00006344278,"about_ca_system_score_gemma":0.000058156755,"threshold_uncertainty_score":0.45885974},"labels":[],"label_agreement":null},{"id":"W2170979754","doi":"10.1016/j.physd.2003.12.009","title":"Chaotic firing in the sinusoidally forced leaky integrate-and-fire model with threshold fatigue","year":2004,"lang":"en","type":"article","venue":"Physica D Nonlinear Phenomena","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chaotic; Quasiperiodic function; Bursting; Statistical physics; Annulus (botany); Physics; Forcing (mathematics); Lyapunov exponent; Fractal; Control theory (sociology); Mechanics; Computer science; Mathematics; Mathematical analysis; Neuroscience; Materials science","score_opus":0.040709673431064526,"score_gpt":0.2558939716422973,"score_spread":0.2151842982112328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170979754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941608,0.000016318932,0.0008242893,0.002037209,0.00003965598,0.00035467156,0.000012446792,0.00005690388,0.0024977622],"genre_scores_gemma":[0.99789685,0.000016799464,0.00040884412,0.0013287396,0.00016432497,0.000034093962,0.0000072907096,0.000030030842,0.00011300784],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99878794,0.000031320775,0.00017202698,0.00042702648,0.0002644043,0.00031727843],"domain_scores_gemma":[0.99948055,0.000086137494,0.00007276672,0.00028703455,0.000020728305,0.00005276593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010230451,0.00021000896,0.00018485698,0.00005214088,0.00017357284,0.00010291253,0.0002791427,0.000029452702,0.0000022033387],"category_scores_gemma":[0.000032048778,0.00012968827,0.00004462115,0.00036638093,0.0001246434,0.00025335056,0.000062440806,0.00031318923,0.000011446457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037691748,0.0010244113,0.0001885938,0.00010814079,0.000021373853,0.00007222752,0.0074761626,0.4914099,0.41532555,0.059995305,0.000031658456,0.023969753],"study_design_scores_gemma":[0.0011489951,0.00033589976,0.00030831128,0.00007317198,0.000014979669,0.00001624081,0.00021289932,0.9671247,0.012127351,0.01825216,0.00007298404,0.00031231178],"about_ca_topic_score_codex":0.000024224333,"about_ca_topic_score_gemma":0.00005191986,"teacher_disagreement_score":0.4757148,"about_ca_system_score_codex":0.000054940272,"about_ca_system_score_gemma":0.000047714035,"threshold_uncertainty_score":0.5288534},"labels":[],"label_agreement":null},{"id":"W2171105334","doi":"10.1186/1471-2202-13-s1-p128","title":"Turing instabilities in a mean field model of electrocortical activity","year":2012,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Neuroscience; Turing; Field (mathematics); Psychology; Computer science; Cognitive science; Mathematics; Programming language","score_opus":0.07807895776300298,"score_gpt":0.28505486848040273,"score_spread":0.20697591071739974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171105334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932605,0.00000373673,0.0052279495,0.00008457258,0.00029052858,0.00014925303,0.0000026596342,0.000033906836,0.00094687723],"genre_scores_gemma":[0.9991911,0.000007965549,0.00012983363,0.0005023547,0.000023402077,0.000012305194,4.9149264e-8,0.0000075800135,0.00012539043],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986684,0.00008922404,0.00018083512,0.0003276505,0.00029956002,0.00043436556],"domain_scores_gemma":[0.9992863,0.00032564497,0.000065729575,0.0002228715,0.000011609305,0.00008787442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021998335,0.0001046166,0.00013120267,0.000109737724,0.00007377375,0.000023486013,0.0002391528,0.000036869056,0.0000051447428],"category_scores_gemma":[0.0012403534,0.00009319398,0.00004869653,0.00042744086,0.00014811689,0.00060445,0.00011306488,0.00018959868,0.0000022400004],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003773423,0.00012591522,0.010140814,0.000020325893,4.6106713e-8,6.3231244e-7,0.0001137683,0.0017762036,0.98189795,0.0053627095,0.0000023709088,0.0005215584],"study_design_scores_gemma":[0.00010218121,0.000094247735,0.017028632,0.000006261927,0.0000014980942,0.0000078074745,0.000009259102,0.28602716,0.6960931,0.0005265958,0.000012512016,0.00009076486],"about_ca_topic_score_codex":0.00002105804,"about_ca_topic_score_gemma":0.000035630266,"teacher_disagreement_score":0.28580484,"about_ca_system_score_codex":0.000030954372,"about_ca_system_score_gemma":0.000054113214,"threshold_uncertainty_score":0.38003403},"labels":[],"label_agreement":null},{"id":"W2171204164","doi":"10.1098/rstb.2013.0479","title":"On the challenges and mechanisms of embodied decisions","year":2014,"lang":"en","type":"review","venue":"Philosophical Transactions of the Royal Society B Biological Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":214,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Embodied cognition; Valuation (finance); Computer science; Set (abstract data type); Action selection; Architecture; Action (physics); Neurophysiology; Cognitive science; Risk analysis (engineering); Human–computer interaction; Psychology; Artificial intelligence; Neuroscience; Perception; Business","score_opus":0.2110667919562196,"score_gpt":0.3298840419093034,"score_spread":0.11881724995308382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171204164","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007369578,0.9440774,0.0135200955,0.029695462,0.0015468557,0.0025752007,0.00030781885,0.00012981177,0.0074104336],"genre_scores_gemma":[0.2077194,0.7917377,0.000102191276,0.00033172153,0.000043993947,0.00003728005,4.3286911e-7,0.000007572721,0.000019716612],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99746764,0.0006519182,0.000503042,0.0006215684,0.0004995148,0.00025630085],"domain_scores_gemma":[0.9925827,0.006594871,0.0003642666,0.0003545022,0.000029315237,0.0000743379],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009809869,0.00028827606,0.00082024495,0.000032353855,0.00073873677,0.000025833753,0.0011239876,0.00033906105,0.000051808187],"category_scores_gemma":[0.0009305944,0.000108019005,0.0010937032,0.00043156272,0.002472324,0.000029376815,0.00009974624,0.00059698266,0.0000048552315],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006363592,0.00012992625,1.10146715e-7,0.00024154989,0.000022846,1.3560289e-7,0.000018056335,0.00005784596,0.000087480075,0.8296372,0.0000094846355,0.16978897],"study_design_scores_gemma":[0.00009025381,0.00081164885,0.000008692763,0.0013878378,0.000149719,0.000008290253,0.000024428466,0.0019186223,0.00015308463,0.9881892,0.0070103277,0.00024784787],"about_ca_topic_score_codex":0.000003952786,"about_ca_topic_score_gemma":6.992275e-7,"teacher_disagreement_score":0.20698245,"about_ca_system_score_codex":0.00002017035,"about_ca_system_score_gemma":0.00004086527,"threshold_uncertainty_score":0.9109381},"labels":[],"label_agreement":null},{"id":"W2171416144","doi":"10.1152/jn.01266.2007","title":"Population Coding by Electrosensory Neurons","year":2008,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":96,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Stimulus (psychology); Sensory system; Electric fish; Stimulation; Receptive field; Population; Postsynaptic potential; Electrophysiology; Psychology; Biology; Receptor; Fish <Actinopterygii>","score_opus":0.03177016589621292,"score_gpt":0.25322377248810773,"score_spread":0.2214536065918948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171416144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99837863,0.0000063844373,0.00011289546,0.0004427261,0.00085292646,0.000044303928,0.0000032117512,0.000018073997,0.00014084668],"genre_scores_gemma":[0.99726063,0.00028436392,0.000025524292,0.001954299,0.0002054101,4.601833e-7,0.0000012622348,0.000015714406,0.0002523573],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998943,0.0002064872,0.00031210834,0.00017337914,0.00016827902,0.00019675981],"domain_scores_gemma":[0.99926394,0.00021773418,0.0003013385,0.00010580714,0.000045009238,0.00006617231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000022895694,0.000100737554,0.00020514986,0.0001040492,0.00016659538,0.0000096854255,0.00015739661,0.000041494797,0.000017044591],"category_scores_gemma":[0.0003591766,0.00008281181,0.000100837555,0.00016861825,0.000069932896,0.00017136204,0.000025805097,0.00032094767,0.000015811836],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008583285,0.000046508827,0.0000796516,0.0000021503997,0.0000017223364,0.00018542833,0.0000091009115,0.0003912328,0.99777395,0.00024769956,0.00083042943,0.00034632557],"study_design_scores_gemma":[0.0025623261,0.007930674,0.35355693,0.000027283717,0.00005573854,0.022093462,0.000011323283,0.017541291,0.57464445,0.004454738,0.016371172,0.00075058936],"about_ca_topic_score_codex":0.0000027167073,"about_ca_topic_score_gemma":9.811161e-8,"teacher_disagreement_score":0.42312944,"about_ca_system_score_codex":0.000021271811,"about_ca_system_score_gemma":0.000016995866,"threshold_uncertainty_score":0.3376968},"labels":[],"label_agreement":null},{"id":"W2171865121","doi":"10.1503/jpn.110145","title":"Dexamphetamine selectively increases 40 Hz auditory steady state response power to target and nontarget stimuli in healthy humans","year":2012,"lang":"en","type":"article","venue":"Journal of Psychiatry and Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stimulus (psychology); Audiology; Dopaminergic; Psychology; Electroencephalography; Placebo; Neuroscience; Medicine; Dopamine; Cognitive psychology","score_opus":0.023222452032792402,"score_gpt":0.2877265676999494,"score_spread":0.26450411566715704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171865121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936857,0.0002755806,0.0004515612,0.0022769335,0.0030424714,0.00018420383,0.000020741556,0.000013007548,0.000049785704],"genre_scores_gemma":[0.993671,0.0001648805,0.0006644729,0.0051854705,0.00019321812,0.0000027810252,1.3536274e-7,0.000014811827,0.000103217004],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99778104,0.0004835047,0.00046313027,0.00037454677,0.0004129683,0.00048479947],"domain_scores_gemma":[0.9986689,0.00037715404,0.0003108043,0.0001364366,0.0000388736,0.00046783782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012624378,0.0001938661,0.00026188433,0.0003040797,0.00028455045,0.000086078966,0.00021751945,0.000044142547,0.000008761198],"category_scores_gemma":[0.0008842626,0.00015975075,0.000045908662,0.0005971551,0.00017239866,0.0008985571,0.00008784663,0.000378632,0.0000020820153],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008211367,0.0013276134,0.17037933,0.000036818994,0.0000026775485,0.00009153402,0.0007713635,0.0004050823,0.81655693,0.0005661701,0.001222386,0.00042874878],"study_design_scores_gemma":[0.0011700224,0.0044111535,0.9833991,0.0000532142,0.000008030273,0.00080739864,0.000097697666,0.00038603888,0.00220347,0.0005495386,0.0066531044,0.0002612092],"about_ca_topic_score_codex":0.00001774053,"about_ca_topic_score_gemma":0.00003380081,"teacher_disagreement_score":0.81435347,"about_ca_system_score_codex":0.000050035076,"about_ca_system_score_gemma":0.00016834533,"threshold_uncertainty_score":0.6514447},"labels":[],"label_agreement":null},{"id":"W2172212422","doi":"10.1016/j.tics.2008.09.008","title":"Information processing algorithms in the brain","year":2008,"lang":"en","type":"review","venue":"Trends in Cognitive Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":93,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Economic and Social Research Council; Biotechnology and Biological Sciences Research Council","keywords":"Psychology; Information processing; Cognitive science; Artificial intelligence; Cognitive psychology; Computer science","score_opus":0.257981843836565,"score_gpt":0.4383398627069199,"score_spread":0.1803580188703549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2172212422","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000338982,0.9363725,0.00013053522,0.0007536037,0.0006963165,0.00093887426,0.00010896781,0.00007483448,0.060585395],"genre_scores_gemma":[0.0022598598,0.99617606,0.000029273837,0.0011039359,0.000068611684,0.0001235957,0.000036057747,0.000007990401,0.00019462752],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976855,0.00044477833,0.00051283196,0.0004041555,0.0005914227,0.00036131858],"domain_scores_gemma":[0.99826235,0.0012647847,0.00031638463,0.00010190625,0.000027450173,0.00002711163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007919721,0.00026236876,0.00045084633,0.0011519433,0.0003271154,0.0002587683,0.0006110878,0.000111676585,0.000027450686],"category_scores_gemma":[0.00093285646,0.0001536835,0.00012491489,0.004857109,0.00061238126,0.0010783307,0.00007200989,0.00048289096,0.000038542494],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014204744,0.000025994323,0.00000420597,0.00014089816,4.283765e-7,0.000014323225,0.0004913958,0.0000023321284,3.924279e-7,0.0001162393,0.00011404766,0.99908835],"study_design_scores_gemma":[0.00055564055,0.00034830344,0.00029998508,0.008880956,0.000038377097,0.0006550546,0.0010852547,0.0053770263,0.000012813706,0.00076615246,0.98110354,0.0008768976],"about_ca_topic_score_codex":0.000023883013,"about_ca_topic_score_gemma":0.0000363167,"teacher_disagreement_score":0.99821144,"about_ca_system_score_codex":0.000057800797,"about_ca_system_score_gemma":0.00018308569,"threshold_uncertainty_score":0.62670314},"labels":[],"label_agreement":null},{"id":"W2173389596","doi":"10.1152/jn.2000.83.6.3575","title":"Human Anterior Cingulate Cortex Neurons Modulated by Attention-Demanding Tasks","year":2000,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":161,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Neuroscience; Anterior cingulate cortex; Electrophysiology; Premovement neuronal activity; Cognition; Psychology; Neuron; Cingulate cortex; Human brain; Central nervous system","score_opus":0.017347732271412782,"score_gpt":0.26202563271233587,"score_spread":0.24467790044092308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2173389596","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983494,0.000008785718,0.000027275759,0.00038831987,0.0008335718,0.00008578866,0.000010106535,0.000031862368,0.00026484206],"genre_scores_gemma":[0.9965848,0.0001314279,0.0000113371425,0.001668446,0.00019322132,9.558536e-7,0.0000021275032,0.000029992261,0.0013777266],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983553,0.00024790558,0.0005764076,0.0003174577,0.00020074644,0.00030213263],"domain_scores_gemma":[0.9991672,0.00008237008,0.00039306178,0.00019218563,0.000052399093,0.000112795846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000044871354,0.00017957509,0.0003498646,0.0001394857,0.00025524854,0.00004900628,0.0002926776,0.00006883079,0.00035003715],"category_scores_gemma":[0.000079866906,0.00014899118,0.00019164139,0.00023356314,0.000121946374,0.0002250481,0.00004040761,0.00039675162,0.000055613426],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000090126756,0.00009702668,0.000029770126,0.000005763956,0.000006878795,0.00022561548,0.000010816626,0.0008337879,0.99635327,0.000035634697,0.00032351437,0.001987797],"study_design_scores_gemma":[0.0063388157,0.011066799,0.8193126,0.0002448717,0.0002098699,0.0064837504,0.000022955586,0.056358755,0.07918689,0.005111247,0.014299239,0.0013642269],"about_ca_topic_score_codex":0.000005386923,"about_ca_topic_score_gemma":2.5317243e-7,"teacher_disagreement_score":0.91716635,"about_ca_system_score_codex":0.000021950787,"about_ca_system_score_gemma":0.00001337973,"threshold_uncertainty_score":0.6075684},"labels":[],"label_agreement":null},{"id":"W2173970917","doi":"","title":"Towards Neurocomputational Speech and Sound Processing.","year":2005,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computational auditory scene analysis; Computer science; Speech recognition; Auditory scene analysis; Auditory system; Segmentation; Hidden Markov model; Artificial neural network; Coding (social sciences); Artificial intelligence; Pattern recognition (psychology); Perception","score_opus":0.029658544312382355,"score_gpt":0.2746723620743313,"score_spread":0.24501381776194897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2173970917","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9576823,0.000014139545,0.011492513,0.0046650125,0.00011776473,0.00011076684,0.0000024983465,0.000120226636,0.02579479],"genre_scores_gemma":[0.9924936,0.0000040566224,0.0017113877,0.0040831543,0.000114724564,0.000002324081,8.9882053e-7,0.0000062639588,0.0015835373],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945366,0.0000136565795,0.00007941862,0.00020931025,0.00014181047,0.000102136146],"domain_scores_gemma":[0.9998413,0.00003588481,0.000023003142,0.000042098338,0.000016679433,0.000041071027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003823439,0.000059579543,0.000045102068,0.000034446086,0.00010216425,0.00009162555,0.000050127757,0.000017977565,0.00007624442],"category_scores_gemma":[0.00004780431,0.0000476887,0.000013056051,0.00009944536,0.00004146783,0.00019670927,0.000031201278,0.000057579844,0.000039089988],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017898008,0.00006885529,0.00029674286,0.000014447949,7.4130327e-7,0.000010505764,0.00006369152,0.00073793007,0.10200459,0.017172482,0.00070986693,0.87890226],"study_design_scores_gemma":[0.00068594667,0.00016492644,0.013347228,0.000006520614,0.0000072275666,0.0004813194,0.000019296222,0.8647775,0.057355832,0.030297467,0.032502506,0.00035422252],"about_ca_topic_score_codex":0.0000025028055,"about_ca_topic_score_gemma":0.0000052521737,"teacher_disagreement_score":0.878548,"about_ca_system_score_codex":0.000008724899,"about_ca_system_score_gemma":0.000013242247,"threshold_uncertainty_score":0.19446887},"labels":[],"label_agreement":null},{"id":"W2178558259","doi":"10.1007/0-387-26144-3_13","title":"From Ultrastructure to Networks: Kindling-induced changes in neocortex","year":2005,"lang":"en","type":"book-chapter","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Neocortex; Neuroscience; Kindling; Excitatory postsynaptic potential; Biology; Neural system; CATS; Psychology; Inhibitory postsynaptic potential; Epilepsy; Computer science","score_opus":0.026851475640594917,"score_gpt":0.24028583075843074,"score_spread":0.21343435511783582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2178558259","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11912486,0.00009200425,0.0009956864,0.007431263,0.0079013975,0.0026832628,0.00030212835,0.00060747244,0.8608619],"genre_scores_gemma":[0.4590818,0.00020913752,0.00027590845,0.016952788,0.0045497455,0.00002955669,0.00009400592,0.00017385121,0.5186332],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981316,0.00002072559,0.000280982,0.00090895646,0.00030037086,0.00035742144],"domain_scores_gemma":[0.99913114,0.00017746288,0.00013389996,0.00038859222,0.000022859489,0.00014603845],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000054528547,0.00041198585,0.00037619402,0.0002421405,0.00006149884,0.00008501862,0.00032632472,0.00044418868,0.001494277],"category_scores_gemma":[0.00005687394,0.00035929165,0.00008971106,0.00009218343,0.000024983057,0.00007169321,0.00010139799,0.0006596379,0.0001817527],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025357306,0.00006233341,0.00008001291,0.000027033575,0.00003219726,0.00041192694,0.00040969817,0.005048406,0.44997153,0.065397955,0.0082116835,0.47009364],"study_design_scores_gemma":[0.0025834772,0.00156111,0.004100212,0.0012512034,0.00015728793,0.00014302527,0.000080331425,0.040236846,0.057038005,0.07538903,0.811289,0.0061704717],"about_ca_topic_score_codex":0.0001182435,"about_ca_topic_score_gemma":0.0035390998,"teacher_disagreement_score":0.80307734,"about_ca_system_score_codex":0.000096254735,"about_ca_system_score_gemma":0.000024345996,"threshold_uncertainty_score":0.9998859},"labels":[],"label_agreement":null},{"id":"W2180624277","doi":"10.3389/fncir.2015.00058","title":"Editorial: Neuromodulation of executive circuits","year":2015,"lang":"en","type":"editorial","venue":"Frontiers in Neural Circuits","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Neuromodulation; Neuroscience; Biological neural network; Psychology; Neuronal circuits; Optogenetics","score_opus":0.02225984433244495,"score_gpt":0.2568243873074187,"score_spread":0.23456454297497373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2180624277","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002616855,0.00019966297,0.00019630944,0.00004953473,0.9934416,0.0007955912,0.0005172528,0.0001325653,0.002050621],"genre_scores_gemma":[0.07522103,0.00016044424,0.000013484555,0.000069549875,0.9231043,0.00005204862,0.000262133,0.00013997944,0.000977067],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99381644,0.0005893741,0.0010257774,0.0014099963,0.0024355152,0.00072287896],"domain_scores_gemma":[0.99685776,0.0007922599,0.0008967413,0.00071451865,0.00051407533,0.00022465682],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00060796924,0.0006524797,0.0011049499,0.00075105316,0.00010781121,0.00010576148,0.00093416916,0.0012708289,0.0000085372485],"category_scores_gemma":[0.007326763,0.0006785038,0.0002536209,0.0010971252,0.0002492984,0.00056754804,0.00018029001,0.0018288227,0.000014451772],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005737647,0.00009811205,0.00011417949,0.00012115329,0.000009683524,0.000039727573,0.00012799358,0.0003892979,0.010829912,0.00003076774,0.98145086,0.0067309216],"study_design_scores_gemma":[0.0019245897,0.00055339414,0.00014686845,0.00019910904,0.00007320067,0.000008054008,0.000037764334,0.0064155627,0.002137937,0.0033126653,0.984236,0.0009548776],"about_ca_topic_score_codex":0.00006120684,"about_ca_topic_score_gemma":0.000012573052,"teacher_disagreement_score":0.07260418,"about_ca_system_score_codex":0.00044019186,"about_ca_system_score_gemma":0.00042392602,"threshold_uncertainty_score":0.9995666},"labels":[],"label_agreement":null},{"id":"W2182807183","doi":"10.26443/msurj.v8i1.109","title":"Neuronal spiking is better than bursting at predicting motion detection in area MT","year":2013,"lang":"en","type":"article","venue":"McGill Science Undergraduate Research Journal","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Bursting; Macaque; Motion (physics); Neuroscience; Motion detection; Artificial intelligence; Computer science; Pattern recognition (psychology); Computer vision; Psychology","score_opus":0.09133371078586264,"score_gpt":0.3264352729276861,"score_spread":0.23510156214182346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2182807183","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9847966,0.000004539831,0.0007401895,0.01109084,0.00065725856,0.0003393455,0.00000382829,0.00004983825,0.002317553],"genre_scores_gemma":[0.99876624,0.00006612742,0.000094129784,0.00049135,0.00018204762,0.000019199528,4.459106e-7,0.000022721744,0.00035775304],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9942618,0.0004964536,0.00047169693,0.0008043503,0.0025662733,0.0013994044],"domain_scores_gemma":[0.99827105,0.0004899524,0.00020999345,0.00025149866,0.00037859374,0.00039889908],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0037330573,0.00019461435,0.00016103905,0.0011757335,0.0042303065,0.00083786907,0.0006744883,0.00007011815,0.00008036966],"category_scores_gemma":[0.0026180947,0.00016212324,0.00008645677,0.0027018832,0.0006468518,0.0023029551,0.00046859117,0.0014491626,0.00012498198],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016712615,0.00004310438,0.008944854,0.0000075275298,0.0000011448747,0.000037219128,0.0000539604,0.0003855968,0.9450995,0.00019659438,0.000059224483,0.045154564],"study_design_scores_gemma":[0.00062615937,0.0004241092,0.052540146,0.0001544756,0.0000036555364,0.0010437721,0.0001478314,0.43002898,0.48534077,0.028829994,0.00052382925,0.00033628728],"about_ca_topic_score_codex":0.0002658276,"about_ca_topic_score_gemma":0.0001307414,"teacher_disagreement_score":0.45975873,"about_ca_system_score_codex":0.0010855709,"about_ca_system_score_gemma":0.0000868583,"threshold_uncertainty_score":0.997066},"labels":[],"label_agreement":null},{"id":"W2183093573","doi":"10.82308/33426","title":"Differential effects of propofol on gamma-band activity across cortical and thalamic sites in the rat, «in vivo»","year":2012,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Anesthesiologists' Society; McGill University","keywords":"Propofol; Thalamus; Anesthetic; Anesthesia; Chemistry; Cortex (anatomy); Stimulation; Reflex; Arousal; Neuroscience; Medicine; Internal medicine; Psychology","score_opus":0.021738668929709094,"score_gpt":0.25768073362682115,"score_spread":0.23594206469711204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2183093573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975523,0.000012290136,4.1674969e-7,0.000040109488,0.0004729323,0.00070310495,0.00008511927,0.000034565328,0.0010991881],"genre_scores_gemma":[0.9994987,0.000030051446,0.000005513684,0.0002495946,0.00002910396,0.000052645515,0.0000018604077,0.000029958243,0.0001025608],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9972038,0.00083179324,0.0003123131,0.000527376,0.00046948413,0.0006552119],"domain_scores_gemma":[0.9978122,0.0015429625,0.00014409867,0.0003576091,0.000022096901,0.00012103323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000540011,0.00029032188,0.0003345291,0.00011678753,0.00038977712,0.000059382433,0.00027725947,0.00016159583,0.000021617567],"category_scores_gemma":[0.0013610214,0.00020679776,0.00009223938,0.00041208122,0.00019358491,0.0005790184,0.00013061872,0.0008282106,0.000013122497],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023188998,0.00060233835,0.007246484,0.00009441329,0.0000040768327,0.00003272704,0.000019783309,0.0000051805,0.97326595,0.010575169,4.7431058e-7,0.0079215085],"study_design_scores_gemma":[0.0010123804,0.0003023987,0.12722553,0.000066725894,0.000014053509,0.000031682517,0.00002046345,0.00022130326,0.8695405,0.0012227665,0.00012289095,0.00021927066],"about_ca_topic_score_codex":0.000052060943,"about_ca_topic_score_gemma":0.00017473874,"teacher_disagreement_score":0.119979054,"about_ca_system_score_codex":0.00011037951,"about_ca_system_score_gemma":0.000006253771,"threshold_uncertainty_score":0.8432968},"labels":[],"label_agreement":null},{"id":"W2183231851","doi":"","title":"Learning attentional policies for tracking and recognition in video with deep networks","year":2011,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of British Columbia","funders":"","keywords":"Artificial intelligence; Gaze; Computer science; Computer vision; Orientation (vector space); Tracking (education); Object (grammar); Particle filter; Dorsum; Video tracking; Modular design; Eye tracking; Cognitive neuroscience of visual object recognition; Pattern recognition (psychology); Mathematics; Psychology; Kalman filter","score_opus":0.06544327249152748,"score_gpt":0.2453490636616499,"score_spread":0.17990579117012243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2183231851","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97076124,0.000004075581,0.026950696,0.000083697334,0.000060403185,0.00014143933,8.111095e-7,0.0000326323,0.0019650003],"genre_scores_gemma":[0.99866503,0.000014694497,0.00061311095,0.00035476917,0.000030453502,0.00001788732,0.0000039155934,0.000007304523,0.0002928411],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995607,0.000024020253,0.000078447505,0.00016240434,0.000051030194,0.00012335995],"domain_scores_gemma":[0.99979055,0.00011091241,0.00003329398,0.000026664644,0.000017788592,0.000020786818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008407732,0.000052132746,0.00005051214,0.000053387736,0.00008803276,0.000029421568,0.00002449113,0.00002457495,0.000030525538],"category_scores_gemma":[0.000068724374,0.00004056692,0.00001372349,0.00009500673,0.000032518798,0.0001729062,0.000010791147,0.00007612867,0.0000015630994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014896239,0.0003685011,0.17706841,0.00010346186,0.000017113793,0.000031141324,0.002690014,0.006852691,0.18615845,0.031408418,0.00011163911,0.5937005],"study_design_scores_gemma":[0.0020537423,0.0013880196,0.30656952,0.00010644857,0.000022061113,0.00013113723,0.00063358777,0.6545455,0.017699275,0.016037805,0.0003134114,0.0004994868],"about_ca_topic_score_codex":0.0000447895,"about_ca_topic_score_gemma":0.00017357142,"teacher_disagreement_score":0.6476928,"about_ca_system_score_codex":0.000007648339,"about_ca_system_score_gemma":0.0000030399694,"threshold_uncertainty_score":0.16542709},"labels":[],"label_agreement":null},{"id":"W2183423045","doi":"10.1016/j.ijpsycho.2015.11.017","title":"Perceived arousal of facial expressions of emotion modulates the N170, regardless of emotional category: Time domain and time–frequency dynamics","year":2015,"lang":"en","type":"article","venue":"International Journal of Psychophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":61,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Ottawa","funders":"","keywords":"Psychology; Disgust; Arousal; Anger; Facial expression; Happiness; Emotional expression; Electroencephalography; Audiology; Cognitive psychology; Developmental psychology; Communication; Social psychology; Neuroscience","score_opus":0.021118894403435916,"score_gpt":0.2755470433522645,"score_spread":0.2544281489488286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2183423045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966695,0.000017884131,0.00062889076,0.0010222238,0.0010018767,0.00008327764,0.00010647123,0.0000041076473,0.00046581836],"genre_scores_gemma":[0.9992101,0.00004533194,0.00033770903,0.000082852326,0.00018213723,0.0000010691562,0.000015365351,0.000009298303,0.00011609353],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99848133,0.00022690845,0.0005787777,0.0001617425,0.00044540365,0.000105818646],"domain_scores_gemma":[0.9981713,0.0002398011,0.0008544762,0.00012597338,0.0005497859,0.000058617185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024491784,0.00011299984,0.00027610242,0.00018755658,0.000036683043,0.000009724035,0.00040960917,0.00008225387,0.000054284912],"category_scores_gemma":[0.00029183374,0.00007796342,0.0001240259,0.00010660361,0.0003621582,0.00017225076,0.00006736486,0.00017918964,0.000004610664],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041358458,0.00016098977,0.0003299053,0.0000067199767,0.000040091425,0.0000049850487,0.00028186408,0.0012164295,0.99305135,0.0033689986,0.00020433917,0.0009207599],"study_design_scores_gemma":[0.008164769,0.004645793,0.21069989,0.00055947615,0.00012912878,0.0013353927,0.0009768198,0.1002461,0.09707414,0.57530516,0.0002313136,0.0006319805],"about_ca_topic_score_codex":0.000025208457,"about_ca_topic_score_gemma":0.0000018574685,"teacher_disagreement_score":0.8959772,"about_ca_system_score_codex":0.00004784374,"about_ca_system_score_gemma":0.0000775657,"threshold_uncertainty_score":0.3179256},"labels":[],"label_agreement":null},{"id":"W2185271843","doi":"10.1371/journal.pone.0143570","title":"From Squid to Mammals with the HH Model through the Nav Channels’ Half-Activation-Voltage Parameter","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Polytechnique Montréal","funders":"","keywords":"Hodgkin–Huxley model; Physics; Parameter space; Biological system; Amplitude; Squid; Sodium channel; Parametric statistics; Voltage clamp; Biophysics; Biology; Chemistry; Mathematics; Neuroscience; Membrane potential; Sodium; Quantum mechanics","score_opus":0.13902330625513265,"score_gpt":0.25825304484719047,"score_spread":0.11922973859205782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2185271843","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96499914,0.0000059074164,0.012400221,0.020524787,0.000109461405,0.00054578437,0.000025696665,0.00006957563,0.0013194253],"genre_scores_gemma":[0.9865422,0.0000039750894,0.00069973985,0.009754575,0.00023564509,0.00010983612,0.000005905549,0.000025962298,0.002622124],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99869525,0.00007298512,0.00012682054,0.00035209453,0.00052241556,0.00023040068],"domain_scores_gemma":[0.9989515,0.00037714152,0.00007653497,0.00045263124,0.00007010294,0.00007206834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012102375,0.00014277041,0.0001384698,0.000020879268,0.00020003901,0.0001425616,0.0003352015,0.00004001717,0.000023082845],"category_scores_gemma":[0.0003467882,0.00007151008,0.0000311633,0.00025096867,0.00007862627,0.00027587544,0.00009729003,0.00018167486,0.000113277296],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003425388,0.00052287796,0.000061003208,0.000009368577,0.000050350613,0.000006961463,0.003937117,0.0148856845,0.97183543,0.0034887749,0.0045260857,0.00033379244],"study_design_scores_gemma":[0.00062935613,0.0005432485,0.00012209285,0.00008397845,0.0000771734,0.000003624267,0.0004359382,0.3371618,0.6387138,0.019234117,0.0026187168,0.0003761851],"about_ca_topic_score_codex":0.00020179318,"about_ca_topic_score_gemma":0.000021063772,"teacher_disagreement_score":0.3331217,"about_ca_system_score_codex":0.00003518984,"about_ca_system_score_gemma":0.000031334883,"threshold_uncertainty_score":0.29160964},"labels":[],"label_agreement":null},{"id":"W2186011933","doi":"10.1371/journal.pbio.1002253","title":"Vibrissa Self-Motion and Touch Are Reliably Encoded along the Same Somatosensory Pathway from Brainstem through Thalamus","year":2015,"lang":"en","type":"article","venue":"PLoS Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":135,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Institute of Neurological Disorders and Stroke; Canadian Institutes of Health Research; University of California, San Diego; National Institutes of Health","keywords":"Neuroscience; Biology; Somatosensory system; Brainstem; Thalamus; Whisking in animals; Optogenetics; Anatomy","score_opus":0.05805689132865166,"score_gpt":0.24684187420417825,"score_spread":0.18878498287552659,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2186011933","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943888,0.00010901757,0.0001623915,0.0026185857,0.0008658953,0.00029199495,0.00007227705,0.0001955594,0.0012954568],"genre_scores_gemma":[0.9967627,0.0000886291,0.0001963648,0.0025296253,0.00024467445,0.000019820583,0.000020410062,0.00001949456,0.00011828005],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99839807,0.0003911739,0.0002307013,0.0005503411,0.00014441148,0.00028533398],"domain_scores_gemma":[0.9988674,0.0004981437,0.00017039722,0.00033475412,0.0000502983,0.000078988036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013147871,0.00017964678,0.00022366873,0.000033126336,0.00018648671,0.00005233269,0.00020960472,0.00016607963,0.00001247586],"category_scores_gemma":[0.00050159334,0.000117263124,0.00004601026,0.00014436702,0.0001671879,0.00017156664,0.00013315552,0.00021696587,0.00006871786],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007484488,0.000161218,0.02551787,0.000019442015,0.000023929088,0.000047423342,0.0013900927,0.000019459249,0.96347827,0.006109034,0.00060000934,0.002558429],"study_design_scores_gemma":[0.0032739723,0.0011609846,0.032092877,0.00011359958,0.00010646843,0.0002835799,0.0020024998,0.036034834,0.82000756,0.07244941,0.031275366,0.0011988606],"about_ca_topic_score_codex":0.0001666455,"about_ca_topic_score_gemma":0.00008704017,"teacher_disagreement_score":0.14347069,"about_ca_system_score_codex":0.000039913564,"about_ca_system_score_gemma":0.000028027045,"threshold_uncertainty_score":0.47818515},"labels":[],"label_agreement":null},{"id":"W2187609070","doi":"10.1016/j.neuroimage.2015.11.056","title":"The cat's meow: A high-field fMRI assessment of cortical activity in response to vocalizations and complex auditory stimuli","year":2015,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Auditory cortex; Tonotopy; Neuroscience; Sensory system; Psychology; Stimulus (psychology); Sulcus; Auditory system; Auditory perception; Perception; Cognitive psychology","score_opus":0.07178746279557208,"score_gpt":0.34607619937657735,"score_spread":0.2742887365810053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2187609070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98902744,9.531956e-7,0.0030039526,0.006705065,0.0005262185,0.00025679442,0.0000125287215,0.000025518619,0.00044154472],"genre_scores_gemma":[0.99849623,0.000006362519,0.0001580417,0.0011016362,0.00003445608,0.000014220642,6.906039e-7,0.0000103320035,0.00017804773],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985301,0.00056148303,0.00016884736,0.0002846817,0.00027755284,0.00017737412],"domain_scores_gemma":[0.9976885,0.0018291302,0.000058637437,0.0002585136,0.000043789663,0.00012148243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041678356,0.000091282534,0.0001254411,0.00007073044,0.00013060564,0.000059486727,0.00014465932,0.000031949257,0.0000069074963],"category_scores_gemma":[0.0027184838,0.000070601825,0.000020818554,0.00027521054,0.00011546453,0.00010972777,0.00014003924,0.00016389291,0.00000463347],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042575764,0.00010128134,0.0010883269,0.0000048953957,8.717985e-7,0.000026567262,0.00006590682,0.00047121683,0.99284095,0.0012512308,0.0027507665,0.0009722171],"study_design_scores_gemma":[0.00083581766,0.0010636155,0.86435,0.000011735968,0.000009352756,0.000015020766,0.000048729096,0.11450237,0.012990428,0.0005371232,0.005473904,0.00016186424],"about_ca_topic_score_codex":0.00006579766,"about_ca_topic_score_gemma":0.00009132962,"teacher_disagreement_score":0.97985053,"about_ca_system_score_codex":0.000042742704,"about_ca_system_score_gemma":0.00008772989,"threshold_uncertainty_score":0.32544753},"labels":[],"label_agreement":null},{"id":"W2187746793","doi":"10.26443/msurj.v9i1.157","title":"Microstimulation to the Middle Temporal Area and its Effect on the Generation of Microsaccades","year":2014,"lang":"en","type":"article","venue":"McGill Science Undergraduate Research Journal","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Microstimulation; Microsaccade; Neural activity; Neuroscience; Cognition; Computer science; Perception; Eye movement; Psychology; Artificial intelligence; Stimulation","score_opus":0.19219066138194502,"score_gpt":0.35717901983965056,"score_spread":0.16498835845770554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2187746793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9664556,0.00001208252,0.00028442976,0.03204592,0.0002665532,0.00041204208,0.00000759167,0.000008542372,0.0005072506],"genre_scores_gemma":[0.9989422,0.00004600499,0.000032953118,0.00063753285,0.00011493942,0.000008538135,4.72661e-7,0.000008452132,0.0002089228],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9967565,0.0009026538,0.00022800759,0.00036032384,0.001290141,0.0004623575],"domain_scores_gemma":[0.9978398,0.0013634614,0.00011372546,0.00022706379,0.00028366194,0.00017226406],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0073995576,0.000112801376,0.00010864092,0.00030021917,0.0034075787,0.00043263144,0.000585859,0.00003022825,0.000005485442],"category_scores_gemma":[0.0048953737,0.000054583375,0.00004451542,0.0012468671,0.0005082155,0.00032395197,0.00017336986,0.0004921404,0.00002613527],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003738184,0.000019165223,0.000113125105,0.000004575951,0.0000011299167,0.0000013473043,0.00003655158,0.0015566878,0.9777348,0.015567614,0.00035661864,0.0045709996],"study_design_scores_gemma":[0.00024003969,0.001180239,0.0009054611,0.00005506166,0.0000031872744,0.000097500524,0.000023297276,0.1388402,0.8510607,0.0045715803,0.0029241506,0.00009858193],"about_ca_topic_score_codex":0.00001684847,"about_ca_topic_score_gemma":0.000029181965,"teacher_disagreement_score":0.1372835,"about_ca_system_score_codex":0.00010200821,"about_ca_system_score_gemma":0.000056972494,"threshold_uncertainty_score":0.9978899},"labels":[],"label_agreement":null},{"id":"W2189316144","doi":"10.1007/978-3-642-12197-5_57","title":"Altered Long-Range Phase Synchronization and Cortical Activation in Children Born Very Preterm","year":2010,"lang":"en","type":"article","venue":"World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge; Child and Family Research Institute; Simon Fraser University; Down Syndrome Research Foundation; University of British Columbia","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Magnetoencephalography; Audiology; Gestational age; Cortex (anatomy); Neuroscience; Psychology; Medicine; Electroencephalography; Biology; Pregnancy","score_opus":0.008382722251918696,"score_gpt":0.2458274182316979,"score_spread":0.2374446959797792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2189316144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955221,0.000030738476,0.0019527039,0.00057530194,0.0010907999,0.00039749694,0.000038697806,0.000114007824,0.0002781556],"genre_scores_gemma":[0.9979365,0.000093996045,0.000039078175,0.00094945467,0.0005717651,0.000031186195,0.0000945714,0.00004014226,0.00024330578],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976123,0.00008261476,0.0004352961,0.00061664905,0.00078645727,0.000466671],"domain_scores_gemma":[0.99867445,0.0003365309,0.00011394056,0.00031683902,0.000029184761,0.0005290541],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028698705,0.0003242337,0.00034586916,0.00021396719,0.0001225482,0.00010124707,0.0002571916,0.00023538744,0.00018938893],"category_scores_gemma":[0.00039383364,0.00028134216,0.0000607783,0.000452233,0.00042123563,0.00025849452,0.00015497654,0.0011702495,0.00001452023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011602503,0.007861584,0.031585634,0.00093452085,0.0002975531,0.0005563874,0.0005186667,0.0004562891,0.4658233,0.024139524,0.015878435,0.45078787],"study_design_scores_gemma":[0.00970365,0.0008043382,0.077447146,0.0007559547,0.00008526774,0.0001498852,0.000005629029,0.88280874,0.009943977,0.0005749921,0.01631932,0.001401089],"about_ca_topic_score_codex":0.00002349495,"about_ca_topic_score_gemma":0.00004894748,"teacher_disagreement_score":0.8823525,"about_ca_system_score_codex":0.000035321253,"about_ca_system_score_gemma":0.0000523463,"threshold_uncertainty_score":0.9999639},"labels":[],"label_agreement":null},{"id":"W2189686081","doi":"10.1111/ejn.13143","title":"Retinal lesions induce fast intrinsic cortical plasticity in adult mouse visual system","year":2015,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fonds de Recherche du Québec - Santé; KU Leuven; Fonds Wetenschappelijk Onderzoek; Deutsche Forschungsgemeinschaft","keywords":"Neuroscience; Visual cortex; Retinotopy; Superior colliculus; Monocular deprivation; Extrastriate cortex; Lesion; Retinal; Biology; Neuroplasticity; Visual field; Cortex (anatomy); Medicine; Ocular dominance; Pathology","score_opus":0.05505739662703292,"score_gpt":0.2741129022728893,"score_spread":0.2190555056458564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2189686081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938265,0.0000024808692,0.002626489,0.00030784242,0.0015501671,0.000105611995,0.000005594446,0.000043462038,0.0015318448],"genre_scores_gemma":[0.99868524,0.000011476216,0.00010190505,0.0008355976,0.00020021085,6.008316e-7,1.5679566e-7,0.000026053385,0.00013873681],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9962235,0.0012668156,0.0007615091,0.000435679,0.00089615484,0.00041633382],"domain_scores_gemma":[0.99844414,0.00025304203,0.00045231145,0.00016396781,0.00021500795,0.00047153863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096543354,0.00019492446,0.00025814518,0.00031575168,0.00018398353,0.00017122518,0.0006848271,0.000026647005,0.000002396126],"category_scores_gemma":[0.006117324,0.00015671334,0.00008231532,0.00085142866,0.0003140318,0.0005292058,0.00022154929,0.000841541,0.000056559747],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020469232,0.00018975273,0.00061444665,0.000010971991,4.3189976e-7,0.0023956506,0.0001547865,0.0008451528,0.9925464,0.0012667974,0.00014927969,0.0016216701],"study_design_scores_gemma":[0.009545134,0.015124333,0.4838172,0.0010883128,0.000077313394,0.022222174,0.002273486,0.17061056,0.28958547,0.00011099982,0.0036186683,0.0019263583],"about_ca_topic_score_codex":0.0000035072383,"about_ca_topic_score_gemma":0.0000023157752,"teacher_disagreement_score":0.7029609,"about_ca_system_score_codex":0.00012491466,"about_ca_system_score_gemma":0.00015112759,"threshold_uncertainty_score":0.732345},"labels":[],"label_agreement":null},{"id":"W2193067970","doi":"10.3389/fphys.2015.00303","title":"Naturalistic stimulation changes the dynamic response of action potential encoding in a mechanoreceptor","year":2015,"lang":"en","type":"article","venue":"Frontiers in Physiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Canadian Institutes of Health Research; Georg-August-Universität Göttingen","keywords":"Mechanoreceptor; Stimulation; Action (physics); Neuroscience; Encoding (memory); Biology; Communication; Psychology; Physics","score_opus":0.0350167044662199,"score_gpt":0.28284173751034436,"score_spread":0.24782503304412445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2193067970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99500465,0.000029688845,0.0012563952,0.00057614007,0.0028718477,0.00022195277,0.0000064732717,0.0000151916365,0.000017673026],"genre_scores_gemma":[0.99951667,0.000028087408,0.00015805596,0.00015827655,0.00003876533,0.000018020724,0.000007824307,0.000007756828,0.00006655006],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99880666,0.00051290414,0.0001575313,0.00023316871,0.00011952942,0.00017021554],"domain_scores_gemma":[0.9995582,0.0001512903,0.00011115478,0.00013267547,0.000024482319,0.000022202392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031904332,0.00008675869,0.00015450614,0.00021276984,0.000036110534,0.00000685922,0.00014224595,0.00007958309,0.0000041990766],"category_scores_gemma":[0.00061042025,0.00006489919,0.00002657282,0.000334413,0.00009175013,0.000093374176,0.000043242773,0.00016899098,0.0000020783657],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001681133,0.000029374543,0.00016128847,0.0000077442455,0.0000015219499,0.0000027482085,0.00022628477,0.010665883,0.9844964,0.0002044036,0.00018868787,0.0023345358],"study_design_scores_gemma":[0.0012488111,0.00044003484,0.050489422,0.000029582674,0.000008867254,0.000009423274,0.00061084965,0.8723689,0.05829799,0.016118683,0.00019736878,0.0001800952],"about_ca_topic_score_codex":0.000033659304,"about_ca_topic_score_gemma":0.00006100523,"teacher_disagreement_score":0.9261984,"about_ca_system_score_codex":0.00013587801,"about_ca_system_score_gemma":0.00002833188,"threshold_uncertainty_score":0.2646512},"labels":[],"label_agreement":null},{"id":"W2197517485","doi":"10.4208/aamm.10-m1052","title":"A Simplified Neuronal Model for the Instigation and Propagation of Cortical Spreading Depression","year":2011,"lang":"en","type":"article","venue":"Advances in Applied Mathematics and Mechanics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Cortical spreading depression; Network model; Biological neuron model; Construct (python library); Neuroscience; Simple (philosophy); Physics; Computer science; Neuron; Psychology; Artificial intelligence","score_opus":0.04782432834680849,"score_gpt":0.267681848569558,"score_spread":0.21985752022274951,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2197517485","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18439624,0.00003936439,0.8145895,0.000017660659,0.000058401947,0.0005651134,0.000005298423,0.0000126727755,0.00031576375],"genre_scores_gemma":[0.9703305,0.0003366008,0.02917644,0.00006532895,0.000006446353,0.000069957845,9.41095e-7,0.000008926448,0.000004889195],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99944675,0.0000054817906,0.00019098469,0.00016734898,0.000095010226,0.00009441708],"domain_scores_gemma":[0.9994615,0.0002979514,0.00011534497,0.00008931082,0.000012747478,0.000023150977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016346258,0.00007368051,0.000101502934,0.00003010277,0.00008613763,0.000010168323,0.00005890121,0.00003287016,7.7874614e-7],"category_scores_gemma":[0.00014970913,0.000050165974,0.00001229972,0.00006502347,0.00003825594,0.00008922736,0.000044379245,0.00007045166,1.2360233e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037717775,0.000033691384,0.0000032415546,0.00009922488,6.3878576e-7,9.4010126e-8,0.00033578565,0.00058381044,0.3437442,0.63928187,3.822128e-7,0.01587933],"study_design_scores_gemma":[0.00017067726,0.000027502256,0.000010201827,0.000018142466,0.0000082556835,0.0000021545804,0.000053864365,0.67146003,0.074645706,0.2535564,0.000007030939,0.00004003571],"about_ca_topic_score_codex":4.8391763e-7,"about_ca_topic_score_gemma":0.000004466397,"teacher_disagreement_score":0.7859342,"about_ca_system_score_codex":0.0000053100794,"about_ca_system_score_gemma":0.0000074893555,"threshold_uncertainty_score":0.2045709},"labels":[],"label_agreement":null},{"id":"W2200362060","doi":"10.1016/j.neuroimage.2015.12.048","title":"Congenital blindness is associated with large-scale reorganization of anatomical networks","year":2016,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"European Research Council; Réseau en Bio-Imagerie du Quebec","keywords":"Neuroscience; Cognition; Psychology; Perception; Blindness; Population; Connectomics; Visual cortex; Functional connectivity; Connectome; Medicine","score_opus":0.014218463795383766,"score_gpt":0.2270560759981575,"score_spread":0.21283761220277372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2200362060","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909462,0.0000025909856,0.007439341,0.0005088704,0.0002552986,0.00014749698,0.00008017669,0.00008322903,0.00053680176],"genre_scores_gemma":[0.9982037,0.000012666675,0.000017413066,0.0008591572,0.0000418614,0.000002725989,0.0000063582934,0.00003079142,0.0008253073],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988575,0.00010621254,0.00018657734,0.00036683877,0.00024073568,0.00024211522],"domain_scores_gemma":[0.9991877,0.00029974725,0.00013831297,0.0002161082,0.00009433281,0.00006378439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009308748,0.00012035217,0.00015291639,0.000058369442,0.00008377407,0.000028379045,0.00014960236,0.00007036905,0.00012728],"category_scores_gemma":[0.00054571574,0.0000786267,0.000039382434,0.00044951017,0.00011625197,0.000219083,0.000058700938,0.0001076049,0.000016217784],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012376482,0.00022832748,0.011222477,0.000004241974,0.000006614693,0.00004470976,0.000059296206,0.000021133901,0.9856853,0.0005772957,0.0008270212,0.0011998424],"study_design_scores_gemma":[0.0053508054,0.0011511652,0.12130095,0.00009739501,0.0000830199,0.00009543035,0.00003204905,0.08865321,0.7805107,0.00065674295,0.0013722273,0.0006962555],"about_ca_topic_score_codex":0.0000017764694,"about_ca_topic_score_gemma":0.000011647227,"teacher_disagreement_score":0.20517452,"about_ca_system_score_codex":0.000023280953,"about_ca_system_score_gemma":0.000020577418,"threshold_uncertainty_score":0.32063037},"labels":[],"label_agreement":null},{"id":"W2207426483","doi":"10.1152/jn.2001.86.1.94","title":"Role of Inhibition in Cortical Reorganization of the Adult Raccoon Revealed by Microiontophoretic Blockade of GABA<sub>A</sub>Receptors","year":2001,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Biological Sciences; Dalhousie University","funders":"","keywords":"Bicuculline; Receptive field; Neuroscience; GABA receptor antagonist; Somatosensory system; GABAA receptor; Biology; Receptor","score_opus":0.005842489615325808,"score_gpt":0.20207853904068093,"score_spread":0.19623604942535514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2207426483","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991243,0.000013744109,0.000023622752,0.00032083326,0.00036138055,0.0001235803,0.000009206729,0.0000031674922,0.00002014718],"genre_scores_gemma":[0.9992665,0.00043497566,0.000011864762,0.00020752178,0.000053999986,7.53784e-7,0.0000015000912,0.000014184815,0.00000870962],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99826896,0.0004184466,0.0007729916,0.0001648391,0.00022895969,0.00014582588],"domain_scores_gemma":[0.99843127,0.00023139747,0.0009126341,0.00015409995,0.00023246904,0.00003811028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000074565796,0.000107833555,0.00032615347,0.0001400518,0.00003453265,0.0000036913318,0.00015425125,0.0000835585,0.000012283608],"category_scores_gemma":[0.0010120871,0.00007864576,0.000115332055,0.00057643524,0.00020724446,0.00009339456,0.0000547425,0.00030530823,0.0000014203302],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036809448,0.00022771233,0.0010252931,0.000020037985,0.0000029816613,0.000008443742,0.00005944351,0.00046527782,0.9972422,0.00011924473,0.000053324253,0.0004079454],"study_design_scores_gemma":[0.00055629254,0.00077739917,0.05860814,0.00006436175,0.000016801761,0.00015022844,0.00002386418,0.00095257536,0.9380227,0.00074704975,0.000023430937,0.00005718647],"about_ca_topic_score_codex":0.000006527027,"about_ca_topic_score_gemma":0.0000028964246,"teacher_disagreement_score":0.059219535,"about_ca_system_score_codex":0.000026929527,"about_ca_system_score_gemma":0.00003766875,"threshold_uncertainty_score":0.3207081},"labels":[],"label_agreement":null},{"id":"W2209982152","doi":"10.1162/jocn_a_00915","title":"Salient, Irrelevant Sounds Reflexively Induce Alpha Rhythm Desynchronization in Parallel with Slow Potential Shifts in Visual Cortex","year":2015,"lang":"en","type":"article","venue":"Journal of Cognitive Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"University of California, San Diego","keywords":"Psychology; Alpha rhythm; Neuroscience; Rhythm; Salient; Alpha (finance); Cognitive psychology; Electroencephalography; Visual cortex; Communication; Audiology; Developmental psychology","score_opus":0.044212912505175096,"score_gpt":0.31063199205777486,"score_spread":0.26641907955259975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2209982152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9853732,0.000021348642,0.012584152,0.000389942,0.0010297924,0.00026986471,0.0000074873656,0.000015993453,0.00030820063],"genre_scores_gemma":[0.9978708,0.00006811187,0.000116516785,0.0017199635,0.000105683546,0.0000059962094,0.00000140101,0.000023141556,0.00008838716],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9969592,0.00035648188,0.0006166181,0.0005256438,0.0010731714,0.00046884693],"domain_scores_gemma":[0.9984514,0.00025890386,0.00060373277,0.000100515856,0.00033830805,0.00024714923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006973001,0.00023172786,0.0003102066,0.0005623662,0.000113053204,0.00017541343,0.0003032903,0.00007496852,0.000004876699],"category_scores_gemma":[0.0024752633,0.00018515401,0.00005912899,0.0015410167,0.00036451148,0.0013240726,0.00009169858,0.00059093983,0.000007800712],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035749797,0.0015108017,0.018307574,0.0000239255,0.0000043578843,0.0054197386,0.001176513,0.011138315,0.94822836,0.0007941367,0.000105031235,0.009716253],"study_design_scores_gemma":[0.01322296,0.011276773,0.80980754,0.0009737644,0.00005923541,0.0038332683,0.0010373698,0.124678016,0.029446585,0.0042780023,0.0002577306,0.0011287647],"about_ca_topic_score_codex":0.000014675583,"about_ca_topic_score_gemma":0.000044998196,"teacher_disagreement_score":0.9187818,"about_ca_system_score_codex":0.00017634807,"about_ca_system_score_gemma":0.0004587983,"threshold_uncertainty_score":0.7550362},"labels":[],"label_agreement":null},{"id":"W2213629128","doi":"10.1016/j.plrev.2011.12.017","title":"Autoepistemic limitation and the brainʼs neural code","year":2011,"lang":"en","type":"review","venue":"Physics of Life Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Royal Ottawa Mental Health Centre","funders":"","keywords":"Qualia; Cognitive science; Perspective (graphical); Brain activity and meditation; Reciprocal; Psychology; Neuroscience; Cognition; Connectomics; Human brain; Cognitive psychology; Materialism; Consciousness; Computer science; Epistemology; Philosophy; Artificial intelligence; Connectome; Functional connectivity; Electroencephalography","score_opus":0.22510104730329838,"score_gpt":0.3474038259125571,"score_spread":0.1223027786092587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2213629128","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000008883237,0.99690634,0.00011504114,0.000103112645,0.000296359,0.0016882521,0.000055363613,0.000027021266,0.0007996049],"genre_scores_gemma":[0.00007650962,0.9986272,0.000045617693,0.0005522801,0.0002328384,0.00016030885,0.000027439271,0.00004311884,0.00023469639],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99704295,0.0011036735,0.0009932383,0.00047834087,0.00018015987,0.00020166078],"domain_scores_gemma":[0.9966956,0.0011981706,0.0014392373,0.00055687345,0.000033425236,0.0000767281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006956041,0.00037944847,0.0019922757,0.000046846104,0.00011041098,0.000047754118,0.0004395413,0.00009561731,0.0000068166755],"category_scores_gemma":[0.0013030026,0.00020823108,0.0006694769,0.00035543047,0.0003117011,0.0001642911,0.00014751685,0.00037063105,0.000084086874],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006786381,0.000022829468,5.270476e-7,0.011703187,0.000011208388,3.831226e-7,0.000048851274,4.4601637e-7,0.000015658532,0.03339127,0.0005954519,0.9542034],"study_design_scores_gemma":[0.00020256454,0.00003460317,8.9208874e-7,0.0034477513,0.00032733713,0.000014170181,0.0000011656305,0.00052098837,0.000002556429,0.0028028712,0.99243134,0.00021377631],"about_ca_topic_score_codex":0.0000059149475,"about_ca_topic_score_gemma":0.0000011536055,"teacher_disagreement_score":0.9918359,"about_ca_system_score_codex":0.000019557549,"about_ca_system_score_gemma":0.00006734399,"threshold_uncertainty_score":0.8491417},"labels":[],"label_agreement":null},{"id":"W2218577029","doi":"10.1017/s0140525x14001022","title":"Strengthening emotion-cognition integration","year":2015,"lang":"en","type":"letter","venue":"Behavioral and Brain Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Terminology; Locus coeruleus; Cognition; Key (lock); Cognitive science; Neural system; Psychology; Cognitive psychology; Computer science; Neuroscience; Computer security; Linguistics; Philosophy","score_opus":0.11894455923086293,"score_gpt":0.32542308483652405,"score_spread":0.2064785256056611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2218577029","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38552558,0.000043801705,0.00019560212,0.6078962,0.0021682389,0.0005146946,0.00014920732,0.00023284319,0.0032738328],"genre_scores_gemma":[0.47584215,0.000045630146,0.0004353396,0.51151365,0.0025041713,0.000054896373,0.0002902661,0.000043841534,0.0092700645],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99774486,0.0001768008,0.0002748149,0.00075219834,0.0007130278,0.0003382944],"domain_scores_gemma":[0.99930394,0.00021910488,0.00020142236,0.00013325161,0.00007273385,0.00006952524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042954038,0.00025821044,0.0002099634,0.00023241526,0.0004736302,0.00045688916,0.00026514326,0.00029510038,0.00006391553],"category_scores_gemma":[0.00026014287,0.0001692262,0.0000673936,0.0004246164,0.0005424461,0.0005353846,0.00008570476,0.00068399997,0.000034953126],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009855202,0.000059739596,0.00007652389,0.00002379132,0.0000015163462,0.00010017554,0.00028753967,0.0000045384772,0.08000166,0.00033653041,0.78748685,0.13161127],"study_design_scores_gemma":[0.0011621481,0.0030610915,0.0006748059,0.0005595982,0.00020454491,0.00068059127,0.00086124585,0.009539967,0.029964875,0.031358622,0.91945624,0.0024762761],"about_ca_topic_score_codex":0.00006557351,"about_ca_topic_score_gemma":0.000018506436,"teacher_disagreement_score":0.13196936,"about_ca_system_score_codex":0.000034847653,"about_ca_system_score_gemma":0.00007871938,"threshold_uncertainty_score":0.69008446},"labels":[],"label_agreement":null},{"id":"W2219255729","doi":"10.1152/jn.2000.84.3.1453","title":"Neural Responses in Primary Auditory Cortex Mimic Psychophysical, Across-Frequency-Channel, Gap-Detection Thresholds","year":2000,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":89,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Auditory cortex; Neuroscience; Noise (video); Psychology; Physics; Audiology; Computer science; Artificial intelligence; Medicine","score_opus":0.02665913270291833,"score_gpt":0.2852746425781201,"score_spread":0.25861550987520177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2219255729","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958671,0.000018587303,0.000011199449,0.0005020701,0.0030680073,0.00013904093,0.000012322603,0.000034604986,0.00034707214],"genre_scores_gemma":[0.99544644,0.00039939932,0.000014331365,0.0028149404,0.00092546636,0.0000053639233,0.0000011804507,0.000036364807,0.00035650504],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9974956,0.0005441919,0.00069935666,0.00046324576,0.0003293999,0.00046823596],"domain_scores_gemma":[0.99865323,0.00044492073,0.0003978911,0.00030795115,0.00007609333,0.000119915785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010886782,0.00025159636,0.00045124293,0.00021113813,0.00017841414,0.0000493696,0.00041657567,0.00013407406,0.00008441577],"category_scores_gemma":[0.00023438148,0.00021234024,0.00023103436,0.00047894267,0.00028041677,0.00046942817,0.000049638456,0.00086306105,0.00007046515],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019415816,0.00022759914,0.000028182922,0.000012945594,0.0000043832433,0.00045214768,0.000057421355,0.0023037565,0.9868775,0.000012863917,0.00010874282,0.007972898],"study_design_scores_gemma":[0.0051814197,0.011641884,0.90711904,0.00011393422,0.00004619274,0.004540444,0.000050684717,0.014969615,0.039723247,0.012771872,0.0028232618,0.0010183797],"about_ca_topic_score_codex":0.000009560355,"about_ca_topic_score_gemma":0.0000034615234,"teacher_disagreement_score":0.9471542,"about_ca_system_score_codex":0.000090275615,"about_ca_system_score_gemma":0.0000586816,"threshold_uncertainty_score":0.8658984},"labels":[],"label_agreement":null},{"id":"W2219962061","doi":"10.1016/j.plrev.2014.06.022","title":"Brain networks and their origins","year":2014,"lang":"en","type":"review","venue":"Physics of Life Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Fonds de Recherche du Québec - Santé","keywords":"Computer science; Neuroscience; Cognitive science; Psychology; Artificial intelligence","score_opus":0.10935394000313048,"score_gpt":0.3379953931575485,"score_spread":0.22864145315441803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2219962061","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000023747914,0.9948982,0.003108089,0.000059352536,0.00041919007,0.00095631916,0.000028231667,0.000027253172,0.0005010182],"genre_scores_gemma":[0.000025722202,0.9980742,0.0000303457,0.0008525238,0.00074288965,0.000066653614,0.000022913677,0.00005324655,0.00013155448],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99757296,0.00062279927,0.0008653564,0.0005594593,0.0001287912,0.00025060883],"domain_scores_gemma":[0.997169,0.0010474415,0.001060992,0.0005731297,0.000021174546,0.00012824482],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005287718,0.00046391878,0.0027304129,0.00004931884,0.000076460805,0.000045850516,0.00036638338,0.00013244405,0.000007824349],"category_scores_gemma":[0.0006434171,0.00028657544,0.00066242646,0.0004143903,0.00011283147,0.00010230215,0.00014760342,0.00038753802,0.000050849394],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.319991e-7,0.000022857595,3.576118e-7,0.011821835,0.000008664992,2.657696e-7,0.000004259772,0.0000030789736,0.00001566587,0.010054091,0.0015725265,0.97649556],"study_design_scores_gemma":[0.00005290766,0.000042565596,1.1139842e-7,0.0057897633,0.00009166063,0.000006034648,2.58946e-7,0.0007904648,0.000003856621,0.0005735935,0.99238884,0.0002599626],"about_ca_topic_score_codex":0.0000032650737,"about_ca_topic_score_gemma":8.306953e-7,"teacher_disagreement_score":0.9908163,"about_ca_system_score_codex":0.00002855927,"about_ca_system_score_gemma":0.000060864375,"threshold_uncertainty_score":0.99995863},"labels":[],"label_agreement":null},{"id":"W2221686573","doi":"10.1038/nrn4026","title":"Packet-based communication in the cortex","year":2015,"lang":"en","type":"review","venue":"Nature reviews. Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":227,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Engineering and Physical Sciences Research Council; Wellcome Trust","keywords":"Network packet; Sensory system; Neuroscience; Stimulus (psychology); Coding (social sciences); Population; Computer science; Psychology; Computer network; Cognitive psychology; Medicine; Mathematics","score_opus":0.14620351409002957,"score_gpt":0.40388947034699524,"score_spread":0.25768595625696566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2221686573","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000049348,0.9939355,0.000021753302,0.00047216172,0.001182984,0.0025991146,0.00004332676,0.000062052284,0.0016781574],"genre_scores_gemma":[0.00021225259,0.9903701,0.00004331788,0.008716084,0.00008244098,0.00029756207,0.000034976507,0.00004329125,0.00019998313],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9928405,0.0034311314,0.0009931857,0.0011997328,0.0010072634,0.0005281327],"domain_scores_gemma":[0.9958072,0.0010817463,0.0009129366,0.0020091177,0.00006128067,0.00012776552],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0030722658,0.0006021876,0.0014966463,0.00031798944,0.00031003013,0.00030476932,0.0034753182,0.00050555717,0.00000964089],"category_scores_gemma":[0.0046627913,0.00033707768,0.00049671286,0.0037163834,0.00040367292,0.00029924954,0.00023298009,0.0032411036,0.0001485757],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000026260773,0.00010531135,0.0000010729041,0.0024345012,3.173502e-7,0.00003661649,0.000015563832,0.0000017361934,0.000096446805,0.0020966388,0.004575848,0.9906333],"study_design_scores_gemma":[0.00009412305,0.000066668814,0.000014565355,0.0036987013,0.00006228984,0.00013293563,0.0000015636936,0.00026736347,0.0000033741073,0.00018694904,0.99513614,0.00033529947],"about_ca_topic_score_codex":0.0000046831706,"about_ca_topic_score_gemma":0.000014149848,"teacher_disagreement_score":0.9905603,"about_ca_system_score_codex":0.0001551147,"about_ca_system_score_gemma":0.00043026355,"threshold_uncertainty_score":0.99990815},"labels":[],"label_agreement":null},{"id":"W2221931548","doi":"10.1016/j.nbd.2015.12.011","title":"Interneurons spark seizure-like activity in the entorhinal cortex","year":2015,"lang":"en","type":"article","venue":"Neurobiology of Disease","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University","funders":"Canadian Institutes of Health Research","keywords":"Ictal; Neuroscience; Interneuron; Glutamatergic; Entorhinal cortex; Tonic (physiology); Ionotropic effect; 4-Aminopyridine; GABAergic; Biology; Inhibitory postsynaptic potential; Chemistry; Epilepsy; Glutamate receptor; Hippocampus; Potassium channel; Receptor; Biophysics","score_opus":0.04503158691443912,"score_gpt":0.27614831094056425,"score_spread":0.23111672402612513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2221931548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965029,0.0000058726996,0.00002094898,0.001626208,0.0008705398,0.00020944525,0.00004072433,0.000027497996,0.00069587154],"genre_scores_gemma":[0.99713904,0.0000090404665,0.0000023510659,0.0026055125,0.00004366437,0.0000135600985,0.000004861493,0.000008842821,0.00017310998],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986083,0.00052160193,0.00015383822,0.00035770613,0.0001405009,0.0002180836],"domain_scores_gemma":[0.99918324,0.00026265846,0.00009742956,0.00031064195,0.000020818106,0.00012522493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015901453,0.00012425416,0.0001389946,0.00007230173,0.000039624952,0.000015269743,0.00036575284,0.000038321577,0.00001499065],"category_scores_gemma":[0.0004396796,0.00008636198,0.00007103895,0.00019345694,0.00022759676,0.00010061714,0.000093489776,0.00022834922,0.000028036615],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026733822,0.0015606389,0.05960295,0.000047763253,0.0000071561235,0.0001898842,0.00040183766,0.00032632306,0.9236867,0.0036338782,0.006083813,0.0017856846],"study_design_scores_gemma":[0.0020152444,0.0015027523,0.95494133,0.000024376322,0.000054157426,0.00004376158,0.00007248914,0.0036146226,0.024069397,0.0031114237,0.010142021,0.00040844412],"about_ca_topic_score_codex":0.000025211706,"about_ca_topic_score_gemma":0.000020802043,"teacher_disagreement_score":0.8996173,"about_ca_system_score_codex":0.000015737449,"about_ca_system_score_gemma":0.00006239766,"threshold_uncertainty_score":0.35217392},"labels":[],"label_agreement":null},{"id":"W2223500703","doi":"10.1371/journal.pone.0141663","title":"Pharmacological Mechanisms of Cortical Enhancement Induced by the Repetitive Pairing of Visual/Cholinergic Stimulation","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Centre for Interdisciplinary Research in Rehabilitation","keywords":"Stimulation; Visual cortex; Neuroscience; Cholinergic; Antagonist; Muscarinic antagonist; Stimulus (psychology); Medicine; Psychology; Internal medicine; Receptor","score_opus":0.13280808975958366,"score_gpt":0.3155246233075353,"score_spread":0.18271653354795162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2223500703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996622,0.000004572151,0.0023834093,0.00028389343,0.00007766394,0.00026324153,0.000005778831,0.000019973155,0.0003394565],"genre_scores_gemma":[0.99938506,0.0000081082235,0.00013665017,0.00029845143,0.00002570885,0.000016902755,0.0000034608454,0.0000062096483,0.00011943271],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988948,0.00014678699,0.00023324939,0.00018533334,0.00042442064,0.00011537262],"domain_scores_gemma":[0.9993985,0.00022929847,0.00013886909,0.000088419336,0.000093488045,0.000051388335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025386378,0.00007054951,0.00013985178,0.000025429414,0.00004172763,0.0000073082365,0.00009624514,0.00003759654,0.000050998846],"category_scores_gemma":[0.0005449342,0.00004804669,0.000028119268,0.00015058395,0.00005535126,0.000063492305,0.000060728038,0.00012924909,0.0000067116844],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010292081,0.0010427715,0.00004854074,0.000009288911,0.000011767951,9.502048e-7,0.000047776033,0.00007295655,0.9965217,0.0019326594,0.000017525854,0.00019113305],"study_design_scores_gemma":[0.00037116004,0.00074298016,0.00026661417,0.000020544654,0.00004380402,4.8358453e-7,0.000023699757,0.061102487,0.9363039,0.0010719167,0.0000020332454,0.00005037321],"about_ca_topic_score_codex":0.0000058783003,"about_ca_topic_score_gemma":4.4419582e-7,"teacher_disagreement_score":0.06102953,"about_ca_system_score_codex":0.000028911882,"about_ca_system_score_gemma":0.000017148295,"threshold_uncertainty_score":0.19592871},"labels":[],"label_agreement":null},{"id":"W2227933157","doi":"10.1103/physreve.94.040301","title":"Pairwise network information and nonlinear correlations","year":2016,"lang":"en","type":"article","venue":"Physical review. E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Education, Youth and Science; Grantová Agentura České Republiky","keywords":"Pairwise comparison; Bivariate analysis; Mutual information; Maximization; Nonlinear system; Joint probability distribution; Computer science; Entropy (arrow of time); Entropy maximization; Principle of maximum entropy; Mathematics; Mathematical optimization; Artificial intelligence; Machine learning; Statistics","score_opus":0.01938969186712518,"score_gpt":0.28583633407213294,"score_spread":0.26644664220500774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2227933157","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93951815,0.0015588682,0.015983304,0.027191821,0.0012225917,0.001553813,0.000083552964,0.00034941707,0.012538506],"genre_scores_gemma":[0.9867387,0.007676817,0.00010583271,0.004947133,0.00029077975,0.000022338429,0.0000054754137,0.00000663792,0.000206286],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99949425,0.000042426516,0.00013265961,0.00010776807,0.00011109826,0.00011182031],"domain_scores_gemma":[0.9994968,0.0002511984,0.000068559086,0.000111424575,0.000020040854,0.000051961448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007413348,0.000064064094,0.00010586244,0.000011178306,0.00007568123,0.000017229333,0.0000459974,0.000010919012,0.000018007318],"category_scores_gemma":[0.0005239442,0.000037253558,0.00004254779,0.00014802263,0.00003989063,0.0004037487,0.000035627974,0.000052468054,0.00031415504],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022067947,0.00009976244,0.0011660875,0.00029702552,0.0000043674395,0.000001988255,0.000039137434,0.000049531995,0.05258314,0.13330968,0.017329616,0.7950976],"study_design_scores_gemma":[0.0007750806,0.00030484083,0.010514755,0.0018178798,0.00007630601,0.00002378791,0.0000023827236,0.08301104,0.0037245047,0.059624344,0.83958584,0.00053925207],"about_ca_topic_score_codex":0.000001002754,"about_ca_topic_score_gemma":4.706196e-7,"teacher_disagreement_score":0.8222562,"about_ca_system_score_codex":0.000009691491,"about_ca_system_score_gemma":0.000008068791,"threshold_uncertainty_score":0.40379322},"labels":[],"label_agreement":null},{"id":"W2228436315","doi":"10.1016/j.neuroscience.2015.11.042","title":"Changes of the directional brain networks related with brain plasticity in patients with long-term unilateral sensorineural hearing loss","year":2015,"lang":"en","type":"article","venue":"Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Science Foundation of Shandong Province; National Natural Science Foundation of China","keywords":"Auditory cortex; Neuroplasticity; Monaural; Psychology; Audiology; Neuroscience; Unilateral hearing loss; Visual cortex; Crossmodal; Cortex (anatomy); Hearing loss; Medicine; Visual perception; Perception","score_opus":0.025772589539107504,"score_gpt":0.2308949792856494,"score_spread":0.2051223897465419,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2228436315","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997139,7.4751813e-7,0.00019883274,0.0014283363,0.00075805513,0.00032405206,0.000008572727,0.000046110115,0.00009632481],"genre_scores_gemma":[0.99815357,0.0000010841611,0.000012123414,0.0013253749,0.000027389842,0.0000071361733,0.0000014905376,0.000018542241,0.00045329513],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99798274,0.000197434,0.00020593076,0.00056282576,0.0006603127,0.000390745],"domain_scores_gemma":[0.99916655,0.00023690505,0.00017696421,0.00023101877,0.00007267325,0.00011587637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001544077,0.00018912488,0.00017167837,0.000108656364,0.00016872984,0.00006369134,0.0003422822,0.000050333416,0.0000027080102],"category_scores_gemma":[0.00052129745,0.000115650175,0.000027139353,0.0012230448,0.0005007737,0.0002999115,0.00015595145,0.00034752686,0.0000010017565],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002624936,0.000121732424,0.94377166,0.000007596797,7.342136e-7,0.000029260615,0.00007058296,0.02506394,0.030275347,0.00016301729,0.000023153374,0.00021047116],"study_design_scores_gemma":[0.001037888,0.0006367321,0.9707539,0.000054206215,0.0000034026143,0.000060195493,0.0000024852204,0.020713996,0.0065417294,0.000019459118,0.000022510774,0.00015347748],"about_ca_topic_score_codex":0.00002513602,"about_ca_topic_score_gemma":0.00019808004,"teacher_disagreement_score":0.026982246,"about_ca_system_score_codex":0.00006027577,"about_ca_system_score_gemma":0.00005698278,"threshold_uncertainty_score":0.4716077},"labels":[],"label_agreement":null},{"id":"W2237069672","doi":"10.53846/goediss-1379","title":"Neuronal and Perceptual Effects of Selective Attention in the Primate Visual System","year":2010,"lang":"en","type":"dissertation","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université de Montréal; McGill University Health Centre","funders":"","keywords":"Macaque; Local field potential; Neuroscience; Sensory system; Perception; Cognition; Primate; Psychology; Electrophysiology; Visual cortex; Visual perception; Encoding (memory); Information processing; Computer science; Cognitive psychology","score_opus":0.007095155520088242,"score_gpt":0.26189577533596453,"score_spread":0.2548006198158763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2237069672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953744,0.0000058056835,0.000012111018,0.00002018727,0.00085367734,0.000542406,0.000003981867,0.00002661656,0.0031608206],"genre_scores_gemma":[0.9987951,0.000013030757,0.0000061568926,0.000080803584,0.000044148823,0.00003502269,0.00004508647,0.000016024731,0.00096461095],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998844,0.00019156944,0.00020323972,0.00033967252,0.00028211874,0.0001393877],"domain_scores_gemma":[0.9993396,0.00035677548,0.0001520814,0.00009460592,0.000036772413,0.000020167798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013474637,0.00015747108,0.00018378242,0.0001236133,0.00008306002,0.00004465838,0.00011840961,0.00015417923,0.0000047742274],"category_scores_gemma":[0.00014655972,0.00010444658,0.000053427688,0.00018873176,0.000039877097,0.00008934583,0.000014817896,0.0004156218,0.000005110457],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007872544,0.00006239755,0.00020049146,0.000551136,0.000002174237,0.000007565277,0.00047649723,0.0000010785114,0.99292094,0.0038085354,0.000022852211,0.0018676005],"study_design_scores_gemma":[0.00094374846,0.0010278374,0.6747647,0.00034962446,0.00008995607,0.00008339751,0.002176471,0.010210976,0.30967668,0.00020345338,0.000040532872,0.00043264107],"about_ca_topic_score_codex":0.000047389545,"about_ca_topic_score_gemma":0.00020391021,"teacher_disagreement_score":0.6832443,"about_ca_system_score_codex":0.000020692798,"about_ca_system_score_gemma":0.000025590401,"threshold_uncertainty_score":0.42592078},"labels":[],"label_agreement":null},{"id":"W2237150516","doi":"10.3389/fnins.2015.00454","title":"Laminar Distribution of Phase-Amplitude Coupling of Spontaneous Current Sources and Sinks","year":2015,"lang":"en","type":"article","venue":"Frontiers in Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Industry Canada; Human Frontier Science Program; Faculty of Medicine, McGill University","keywords":"Laminar flow; Physics; Amplitude; BETA (programming language); Coupling (piping); Phase (matter); Nuclear magnetic resonance; Neuroscience; Optics; Biology; Mechanics; Materials science; Quantum mechanics","score_opus":0.03940859499395185,"score_gpt":0.28340791823716543,"score_spread":0.24399932324321358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2237150516","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9833402,0.00018403614,0.014456504,0.000060263992,0.0016913356,0.00016508676,0.000051357387,0.000018248886,0.000032985805],"genre_scores_gemma":[0.9996382,0.0001376307,0.00012788633,0.00004086218,0.000015846563,0.0000035353023,0.0000030905483,0.000006438878,0.000026523709],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99867886,0.000038651455,0.0002879166,0.00040441082,0.00036559865,0.00022453042],"domain_scores_gemma":[0.9994394,0.00007439503,0.00018102635,0.00016988342,0.00004268163,0.000092624316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029627822,0.00011206211,0.0002047116,0.00011456406,0.000060685874,0.00002768358,0.00024407322,0.000035054454,4.825447e-7],"category_scores_gemma":[0.00087238726,0.00010355414,0.00002972578,0.0005073192,0.00047882248,0.00019198978,0.000093755894,0.00014151215,2.7265054e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025033386,0.000492959,0.022532696,0.00008015697,6.240195e-7,0.000085868975,0.00032205545,0.003101446,0.95768934,0.0017893082,0.00039776159,0.013257438],"study_design_scores_gemma":[0.0029462446,0.0019491266,0.025682492,0.0001889247,0.00002525281,0.00036908174,0.00034161817,0.7703028,0.18575364,0.0039724414,0.007916877,0.0005515082],"about_ca_topic_score_codex":0.000011148133,"about_ca_topic_score_gemma":0.0000016123254,"teacher_disagreement_score":0.7719357,"about_ca_system_score_codex":0.0000405055,"about_ca_system_score_gemma":0.00004709167,"threshold_uncertainty_score":0.42228156},"labels":[],"label_agreement":null},{"id":"W2254573027","doi":"10.1113/jp271891","title":"Primary visual cortex shows laminar‐specific and balanced circuit organization of excitatory and inhibitory synaptic connectivity","year":2016,"lang":"en","type":"article","venue":"The Journal of Physiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":92,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; National Institute of General Medical Sciences; U.S. Public Health Service","keywords":"Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Photostimulation; Neuroscience; Neocortex; Post-tetanic potentiation; Excitatory synapse; Visual cortex; Biology","score_opus":0.014482052438867727,"score_gpt":0.2211792441188732,"score_spread":0.20669719168000547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2254573027","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998967,0.0000740846,0.0004201803,0.00015326886,0.0002740017,0.00007098201,0.0000036057852,0.0000059174604,0.00003094291],"genre_scores_gemma":[0.9993065,0.0003724838,0.0000041751764,0.0001830252,0.00009915708,3.5278399e-7,2.4138012e-7,0.000008671696,0.0000254118],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992167,0.00026467745,0.00020516106,0.00011572618,0.0001014341,0.000096331416],"domain_scores_gemma":[0.9987265,0.00075830414,0.00031430813,0.00008264352,0.00008411255,0.000034144214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024602283,0.00007687532,0.00019545192,0.000054085325,0.00007186331,0.0000051043617,0.00008533536,0.00004246671,0.000019845565],"category_scores_gemma":[0.00021742251,0.000041773328,0.000019924133,0.00009293499,0.00033002926,0.00014797472,0.000053907657,0.00010226484,0.0000015124637],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000941327,0.000036141213,0.00070261385,0.000016949518,0.000007165264,0.0000023174587,0.00007508017,0.0000024196652,0.99633193,0.0007559736,0.000053569624,0.0019217065],"study_design_scores_gemma":[0.0010934329,0.0011176628,0.68235123,0.000065152984,0.00003081398,0.00036726534,0.00008065897,0.00013865388,0.3091268,0.005429584,0.000068596804,0.00013017935],"about_ca_topic_score_codex":8.282278e-7,"about_ca_topic_score_gemma":5.394102e-7,"teacher_disagreement_score":0.68720514,"about_ca_system_score_codex":0.000026223586,"about_ca_system_score_gemma":0.000026987014,"threshold_uncertainty_score":0.17034669},"labels":[],"label_agreement":null},{"id":"W2255032433","doi":"10.1073/pnas.1520432113","title":"Selective memory retrieval of auditory what and auditory where involves the ventrolateral prefrontal cortex","year":2016,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Government of Canada","keywords":"Functional magnetic resonance imaging; Prefrontal cortex; Auditory cortex; Ventrolateral prefrontal cortex; Psychology; Inferior parietal lobule; Neuroscience; Cognitive psychology; Cognition","score_opus":0.025391319210405834,"score_gpt":0.2618115894225555,"score_spread":0.23642027021214967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2255032433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951697,0.00014273977,5.044786e-7,0.003690899,0.00024319622,0.00018940229,0.000013913247,0.000008268128,0.00054137217],"genre_scores_gemma":[0.99892604,0.00021906065,0.000026158985,0.00021343608,0.00021779737,0.0000037719008,2.02729e-8,0.0000038395688,0.00038987794],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983409,0.00002128629,0.0002540414,0.0002765479,0.00096899405,0.00013820657],"domain_scores_gemma":[0.9988969,0.00039601675,0.0005035633,0.000011071541,0.0001648185,0.000027639837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007422262,0.000091973314,0.00013058836,0.00008335562,0.00024051715,0.000036340087,0.00054132706,0.00006489919,0.000008497514],"category_scores_gemma":[0.0007388115,0.00004285381,0.00006188238,0.00036184283,0.0017395209,0.0012047115,0.00015359401,0.00013684922,7.126258e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006551534,0.000021029051,0.0008341091,0.0000288289,0.000005207079,5.588405e-9,0.00015847785,0.0000046653695,0.9936684,0.0040601306,0.00060910673,0.00054452266],"study_design_scores_gemma":[0.00027823227,0.00016108186,0.1900953,0.00019872915,0.000011104478,0.0000106018615,0.00023309946,0.0007333922,0.7827643,0.025256122,0.00017509781,0.00008290626],"about_ca_topic_score_codex":0.0000025864974,"about_ca_topic_score_gemma":1.8517116e-7,"teacher_disagreement_score":0.21090408,"about_ca_system_score_codex":0.00004145992,"about_ca_system_score_gemma":0.000038625774,"threshold_uncertainty_score":0.64093375},"labels":[],"label_agreement":null},{"id":"W2255581062","doi":"10.1016/j.conb.2016.01.010","title":"Why neurons mix: high dimensionality for higher cognition","year":2016,"lang":"en","type":"review","venue":"Current Opinion in Neurobiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":855,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Columbia College","funders":"","keywords":"Curse of dimensionality; Task (project management); Computer science; Neuroscience; Cognition; Contrast (vision); Artificial intelligence; Machine learning; Psychology; Engineering","score_opus":0.17795588177255273,"score_gpt":0.393445992028318,"score_spread":0.21549011025576525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2255581062","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00006469726,0.9059522,0.00023237981,0.0011415102,0.08723994,0.0029604714,0.0021647287,0.00017451454,0.00006956125],"genre_scores_gemma":[0.00005599382,0.9966008,0.0000086545615,0.00068410084,0.0010387771,0.00059698295,0.0008140341,0.0000730111,0.00012766251],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9960927,0.0009814806,0.00085232715,0.0013664985,0.00014246003,0.0005645796],"domain_scores_gemma":[0.99656266,0.002293544,0.0005453565,0.00043897997,0.00005807902,0.00010136319],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019122014,0.0005467862,0.001133036,0.00034269606,0.00013819194,0.000034591274,0.0004168289,0.0003445866,0.00011859281],"category_scores_gemma":[0.0004999679,0.00039192443,0.00044382268,0.0003615215,0.00020520634,0.00011766153,0.0002175162,0.00055216573,0.00014686659],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000879009,0.0004359865,0.0000034065308,0.010947416,0.000015065205,0.0000034960938,0.0000030398792,0.0000023343114,0.0011270656,0.02564426,0.04772509,0.9140049],"study_design_scores_gemma":[0.0005089458,0.00021380067,0.000021007583,0.004196799,0.000044093278,0.000033682165,9.808105e-8,0.000010606584,0.000021439166,0.0024976616,0.99205613,0.00039572982],"about_ca_topic_score_codex":0.0000024958958,"about_ca_topic_score_gemma":8.0977026e-7,"teacher_disagreement_score":0.94433105,"about_ca_system_score_codex":0.00007931568,"about_ca_system_score_gemma":0.00009300194,"threshold_uncertainty_score":0.99985325},"labels":[],"label_agreement":null},{"id":"W2255674681","doi":"10.3389/fnint.2015.00060","title":"Burst Firing in a Motion-Sensitive Neural Pathway Correlates with Expansion Properties of Looming Objects that Evoke Avoidance Behaviors","year":2015,"lang":"en","type":"article","venue":"Frontiers in Integrative Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; University of Saskatchewan","keywords":"Bursting; Neuroscience; Stimulus (psychology); Looming; Sensory system; Physics; Biology; Communication; Psychology","score_opus":0.03890314951003187,"score_gpt":0.234846957701295,"score_spread":0.1959438081912631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2255674681","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99261206,0.000078669866,0.004389768,0.00011324841,0.0020161986,0.0005570965,0.000011988132,0.00004643703,0.0001745112],"genre_scores_gemma":[0.9989861,0.000026861724,0.0004426208,0.0002534329,0.000015276915,0.000048563103,0.000001175536,0.000024180083,0.00020173813],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9973073,0.0003514933,0.00037707016,0.00087147264,0.00061881857,0.00047384785],"domain_scores_gemma":[0.9991028,0.00011281271,0.0002699551,0.00026794526,0.00012556385,0.00012092335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003466301,0.0003171014,0.0003925601,0.00046586615,0.0001386597,0.00008296469,0.00038265076,0.000077671655,7.2348956e-7],"category_scores_gemma":[0.0013958914,0.00022541959,0.00005631154,0.0013244053,0.00083456846,0.0010569013,0.000116939824,0.00056633726,0.0000013290326],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043899514,0.00018874968,0.10098355,0.000023455896,8.784963e-7,0.00019114916,0.007786343,0.007983765,0.87901306,0.0002005994,0.000035845027,0.0031536135],"study_design_scores_gemma":[0.0009603577,0.0007960187,0.028632998,0.0006275237,0.000006469033,0.00007150434,0.007052315,0.17533766,0.78576547,0.0003270318,0.000012944629,0.00040972003],"about_ca_topic_score_codex":0.00014022355,"about_ca_topic_score_gemma":0.00022712619,"teacher_disagreement_score":0.1673539,"about_ca_system_score_codex":0.00021942791,"about_ca_system_score_gemma":0.00014290058,"threshold_uncertainty_score":0.9192344},"labels":[],"label_agreement":null},{"id":"W2256564354","doi":"10.1155/2016/1801979","title":"Pairing Cholinergic Enhancement with Perceptual Training Promotes Recovery of Age-Related Changes in Rat Primary Auditory Cortex","year":2015,"lang":"en","type":"article","venue":"Neural Plasticity","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research","keywords":"Auditory cortex; Cholinergic; Neuromodulation; Neuroscience; Psychology; Neuroplasticity; Perception; Cortex (anatomy); Auditory perception; Audiology; Medicine; Central nervous system","score_opus":0.050160848787411276,"score_gpt":0.24203947774675588,"score_spread":0.1918786289593446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2256564354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99762815,0.000008578589,0.00010543594,0.00016578835,0.0009790622,0.00029755489,0.000009588973,0.000066434695,0.00073942315],"genre_scores_gemma":[0.99906623,0.000010615876,0.0000868743,0.0002818171,0.000116062474,0.00001903592,0.0000102669,0.000021341199,0.00038777088],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983517,0.00013464794,0.00030565404,0.0004543335,0.00041272797,0.00034096403],"domain_scores_gemma":[0.99921536,0.00030936062,0.0001864796,0.0001258711,0.000046648438,0.0001162547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017783427,0.00020721147,0.00030481123,0.00014022853,0.000064171385,0.00003106169,0.00015478747,0.00007835854,0.00003248879],"category_scores_gemma":[0.00042659094,0.00016527541,0.00004005085,0.00032850492,0.0001877099,0.0002461253,0.00007369751,0.00032270583,0.0000079743195],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040802156,0.00014973989,0.00052110426,0.000048544145,0.000004789216,0.00011379838,0.0008783012,0.0058929594,0.98842144,0.000037323593,0.00015310121,0.0033708797],"study_design_scores_gemma":[0.01016965,0.013199941,0.16049662,0.0009649618,0.00013676487,0.00037016108,0.0014141094,0.27961984,0.52994806,0.0008888679,0.0006334704,0.002157549],"about_ca_topic_score_codex":0.000027122009,"about_ca_topic_score_gemma":0.00013755332,"teacher_disagreement_score":0.45847338,"about_ca_system_score_codex":0.00011157373,"about_ca_system_score_gemma":0.00007480449,"threshold_uncertainty_score":0.6739736},"labels":[],"label_agreement":null},{"id":"W2258199913","doi":"10.1007/978-3-540-71512-2_2","title":"Time Delays in Neural Systems","year":2007,"lang":"en","type":"book-chapter","venue":"Understanding complex systems","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":95,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Waterloo","funders":"","keywords":"Neural system; Computer science; Artificial neural network; Neuroscience; Psychology; Artificial intelligence","score_opus":0.22485327763616345,"score_gpt":0.28600031009228083,"score_spread":0.061147032456117384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2258199913","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00062034046,0.00055021676,0.0053256215,0.00009653165,0.0059362613,0.0018327085,0.0001969879,0.00042039214,0.98502094],"genre_scores_gemma":[0.7144809,0.000034510304,0.0000055694577,0.00017499927,0.0005389719,0.000011675718,0.00006278148,0.0001564133,0.2845342],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99633795,0.00012857268,0.0009876732,0.000998936,0.0008566637,0.00069018785],"domain_scores_gemma":[0.99803287,0.00063150184,0.000554413,0.00055285677,0.00004411312,0.00018425737],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005696774,0.00061670557,0.00086542463,0.0008683673,0.00027742016,0.00036886652,0.0004538683,0.00046732367,0.00014816764],"category_scores_gemma":[0.000059843253,0.0006014954,0.00019887452,0.00017922938,0.00023654131,0.00016907041,0.00012964422,0.00071094924,0.00047064008],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008540949,0.000026688886,0.000014437371,0.00036966178,0.00002575161,0.00058128836,0.00009718928,0.005997516,0.008055222,0.97913474,0.005531232,0.000080888625],"study_design_scores_gemma":[0.0011241563,0.00032875128,0.000010959648,0.0014682488,0.000055520017,0.00092407275,0.00028527694,0.8942722,0.000014951168,0.0076847365,0.09225266,0.0015784679],"about_ca_topic_score_codex":0.00011845319,"about_ca_topic_score_gemma":0.00004642534,"teacher_disagreement_score":0.97145,"about_ca_system_score_codex":0.0017602358,"about_ca_system_score_gemma":0.000050628052,"threshold_uncertainty_score":0.9996436},"labels":[],"label_agreement":null},{"id":"W2263312245","doi":"10.1016/b978-0-12-801393-9.00005-0","title":"Geometrical Structure of Single Axons of Visual Corticocortical Connections in the Mouse","year":2016,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada; Université du Québec à Trois-Rivières","keywords":"Neuroscience; Visual cortex; Connectome; Cortex (anatomy); Axon; Cerebral cortex; Sensory system; Biology; Anatomy; Computer science; Functional connectivity","score_opus":0.02832169500618435,"score_gpt":0.2599352889967179,"score_spread":0.23161359399053358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2263312245","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15273634,0.00005244294,0.000049506416,0.00024975772,0.00057158485,0.00099801,0.00037956375,0.000037588663,0.8449252],"genre_scores_gemma":[0.7672887,0.000016686268,0.000018320747,0.00024086959,0.00009173112,0.000006267399,0.0000040229943,0.000032009306,0.23230138],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99831015,0.000076000935,0.00057363365,0.0003692955,0.00045330296,0.0002176456],"domain_scores_gemma":[0.99847126,0.0007169642,0.0003280252,0.00036029186,0.000068111316,0.000055366185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000096772514,0.00022911289,0.0004124184,0.0003384739,0.0000613155,0.000018558965,0.00028582235,0.00022838755,0.00016343052],"category_scores_gemma":[0.00042582228,0.0001410469,0.00018650849,0.00008122539,0.00040805468,0.000035007215,0.000090351896,0.0003886449,0.000009883204],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052474516,0.000091568334,0.000028414783,0.00005232035,0.0000149375255,0.000020135629,0.00007238242,0.0000024564745,0.6452314,0.08804195,0.000022934577,0.266369],"study_design_scores_gemma":[0.0035926339,0.00546917,0.0016008914,0.0011002931,0.0006238404,0.0005198185,0.00008031871,0.0007486401,0.2950307,0.14158888,0.54727787,0.0023669207],"about_ca_topic_score_codex":6.7571835e-7,"about_ca_topic_score_gemma":0.000025281417,"teacher_disagreement_score":0.6145524,"about_ca_system_score_codex":0.000048991988,"about_ca_system_score_gemma":0.00005492901,"threshold_uncertainty_score":0.57517254},"labels":[],"label_agreement":null},{"id":"W2264693026","doi":"10.1016/j.neuroscience.2016.01.014","title":"Short-term synaptic plasticity across topographic maps in the electrosensory system","year":2016,"lang":"en","type":"article","venue":"Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Term (time); Neuroscience; Synaptic plasticity; Plasticity; Neuroplasticity; Biology; Physics","score_opus":0.0334494566429582,"score_gpt":0.2675220416483776,"score_spread":0.23407258500541941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2264693026","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99670696,0.000004530554,0.00082575897,0.000647221,0.0009075672,0.00031672555,0.000029739585,0.000121977144,0.00043951563],"genre_scores_gemma":[0.9984674,0.000026379306,0.0000033326464,0.0012563731,0.000057390596,0.000036215024,2.0979846e-7,0.000013593501,0.00013914664],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99740267,0.00028195372,0.0002699996,0.0007725651,0.00057256664,0.0007002323],"domain_scores_gemma":[0.99877256,0.0006665303,0.000070763126,0.00038657224,0.000021526523,0.00008205645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003923791,0.00018962468,0.00015432399,0.00010651235,0.00040951036,0.00017075734,0.00085380004,0.00005771746,0.0000023755301],"category_scores_gemma":[0.00066150626,0.00010186432,0.00007622205,0.0009826047,0.00048807036,0.00034302144,0.000110738736,0.00023655298,0.00003284385],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021322885,0.000047340356,0.007853554,0.000013051723,2.3575603e-7,0.00014208359,0.000056286644,0.000016711365,0.98438764,0.005674366,0.000028478911,0.0017589524],"study_design_scores_gemma":[0.00093516643,0.00089569244,0.83732957,0.00019791664,0.000014552684,0.0018571697,0.0001629021,0.011182117,0.14429739,0.0009323383,0.0013842887,0.0008108898],"about_ca_topic_score_codex":0.000005048601,"about_ca_topic_score_gemma":0.000023841547,"teacher_disagreement_score":0.8400902,"about_ca_system_score_codex":0.00006123845,"about_ca_system_score_gemma":0.000023918219,"threshold_uncertainty_score":0.41539064},"labels":[],"label_agreement":null},{"id":"W2266394035","doi":"10.1152/jn.00786.2015","title":"Balanced ionotropic receptor dynamics support signal estimation via voltage-dependent membrane noise","year":2015,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Excitatory postsynaptic potential; Electric fish; Pyramidal cell; NMDA receptor; Stimulus (psychology); AMPA receptor; Postsynaptic potential; Hair cell; Noise (video); Ionotropic effect; Kainate receptor; Biology; Chemistry; Inhibitory postsynaptic potential; Receptor; Computer science; Psychology; Hippocampus; Artificial intelligence","score_opus":0.02249539223124041,"score_gpt":0.2529129848619128,"score_spread":0.2304175926306724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2266394035","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98158705,0.0000030053855,0.014448057,0.00076074444,0.0028203228,0.00012908824,0.000013573915,0.00003467322,0.0002034671],"genre_scores_gemma":[0.99760115,0.00004188427,0.00034540007,0.0012202223,0.0003622295,0.0000025177421,0.000009010426,0.00002787519,0.00038970134],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99822253,0.00023217378,0.000571256,0.00029035736,0.00040339984,0.00028026535],"domain_scores_gemma":[0.9986141,0.00018466884,0.0005834381,0.000197665,0.00020600487,0.0002141491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010404676,0.00018765828,0.00035524694,0.00016874974,0.00008574357,0.00003928228,0.00033388656,0.00009095967,0.000103105725],"category_scores_gemma":[0.00045298995,0.00015216896,0.00013242186,0.000218952,0.000102264916,0.0003399226,0.000077672215,0.00042628063,0.00014851273],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004070195,0.00011303507,0.000031527266,0.0000109403345,0.0000060153643,0.00014259547,0.000026274614,0.023939857,0.97013533,0.00026414185,0.00024329004,0.0046799676],"study_design_scores_gemma":[0.0040025357,0.0103088,0.006374128,0.000037985392,0.00008525153,0.0022868235,0.0000435825,0.7958477,0.1710578,0.007342211,0.0019877201,0.00062544993],"about_ca_topic_score_codex":0.0000053852377,"about_ca_topic_score_gemma":0.0000010621054,"teacher_disagreement_score":0.7990775,"about_ca_system_score_codex":0.00013212579,"about_ca_system_score_gemma":0.00011277015,"threshold_uncertainty_score":0.620527},"labels":[],"label_agreement":null},{"id":"W2266541685","doi":"10.1017/s0140525x16000017","title":"GANEing traction: The broad applicability of NE hotspots to diverse cognitive and arousal phenomena","year":2016,"lang":"en","type":"article","venue":"Behavioral and Brain Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"National Institute on Aging","keywords":"Arousal; Cognitive science; Perception; Cognition; Psychology; Cognitive psychology; Neuroscience","score_opus":0.07379721602240291,"score_gpt":0.3238332843803288,"score_spread":0.2500360683579259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2266541685","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99598765,0.000010798271,0.00012571714,0.0031750575,0.00012348108,0.00026152894,0.000026128022,0.000018592587,0.00027103786],"genre_scores_gemma":[0.9991479,0.000013943513,0.00002775923,0.00054380845,0.00004337698,0.00001441342,1.632249e-7,0.0000028391203,0.00020580993],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99896765,0.00006894339,0.0001353842,0.00040496944,0.00024179165,0.00018125268],"domain_scores_gemma":[0.99926966,0.00047049808,0.00006837993,0.00008186891,0.000027365015,0.00008221422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003708007,0.00009303393,0.0001059646,0.000048655686,0.00038404757,0.000064913074,0.00013347366,0.000025038982,0.000023550945],"category_scores_gemma":[0.00015442366,0.00004605777,0.000024352417,0.0003088372,0.0009605749,0.00027742604,0.00010540537,0.00005201747,0.000004192519],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043879732,0.00006356107,0.01246223,0.0000037491782,5.175261e-7,0.0000023328355,0.0003042835,8.049958e-7,0.74197984,0.00065728853,0.000027279733,0.24445422],"study_design_scores_gemma":[0.001397888,0.0026800972,0.8621953,0.00012962506,0.00005581406,0.00013595715,0.0041752798,0.0003540277,0.122514956,0.003956428,0.0017918,0.00061280804],"about_ca_topic_score_codex":0.0000633024,"about_ca_topic_score_gemma":0.00004027696,"teacher_disagreement_score":0.8497331,"about_ca_system_score_codex":0.000009361625,"about_ca_system_score_gemma":0.000016578866,"threshold_uncertainty_score":0.35392782},"labels":[],"label_agreement":null},{"id":"W2267403000","doi":"10.1152/jn.00811.2015","title":"Weak signal amplification and detection by higher-order sensory neurons","year":2016,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Sensory system; Neuroscience; SIGNAL (programming language); Communication; Psychology; Computer science","score_opus":0.024320010768111643,"score_gpt":0.24349632884917377,"score_spread":0.21917631808106214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2267403000","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99433655,0.000008798901,0.0022411814,0.0022813114,0.0009347577,0.000058729358,0.000008113181,0.00001862358,0.0001119674],"genre_scores_gemma":[0.9979696,0.00021319232,0.000023327335,0.0009343783,0.00022109736,0.0000013268123,2.2859213e-7,0.000015827622,0.00062100723],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99893963,0.00024390599,0.0002796331,0.00023533484,0.00013633729,0.00016513569],"domain_scores_gemma":[0.99903363,0.00039152757,0.00030010095,0.00011269412,0.000081835366,0.00008021083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000036079455,0.00011057069,0.00016017206,0.00009610016,0.00010016472,0.00001973506,0.00011161103,0.00005576925,0.00003955884],"category_scores_gemma":[0.00020500147,0.00007012999,0.000052777123,0.00013183885,0.00014235865,0.00020642625,0.00003362995,0.0001813511,0.00001986213],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001322869,0.000035903664,0.000011499123,0.000003077692,0.0000023864943,0.000013010402,0.0000032862997,0.000025263944,0.9796614,0.00014693414,0.00022145106,0.019743519],"study_design_scores_gemma":[0.0019051648,0.0044660512,0.05901597,0.000025785104,0.00004755419,0.0013746178,0.000009735111,0.0020242326,0.8781766,0.0042073703,0.048353896,0.00039299342],"about_ca_topic_score_codex":0.0000014302198,"about_ca_topic_score_gemma":1.6176449e-7,"teacher_disagreement_score":0.10148475,"about_ca_system_score_codex":0.000018284747,"about_ca_system_score_gemma":0.000012270406,"threshold_uncertainty_score":0.2859818},"labels":[],"label_agreement":null},{"id":"W2269144646","doi":"10.1002/cne.23980","title":"A quantitative comparison of the hemispheric, areal, and laminar origins of sensory and motor cortical projections to the superior colliculus of the cat","year":2016,"lang":"en","type":"article","venue":"The Journal of Comparative Neurology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Superior colliculus; Neuroscience; Somatosensory system; Sensory system; Stimulus modality; Midbrain; Biology; Superior Colliculi; Visual cortex; Visual system; Anatomy; Psychology; Central nervous system","score_opus":0.06462748185784213,"score_gpt":0.32911992516976424,"score_spread":0.2644924433119221,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2269144646","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99172807,0.00004396435,0.00021099807,0.007239069,0.00029095486,0.00039500685,0.000032831456,0.0000021566302,0.0000569618],"genre_scores_gemma":[0.99945706,0.00005375306,0.000023772198,0.00036202098,0.000023940169,0.0000038250164,2.5730657e-8,0.0000055267355,0.00007009118],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99795914,0.0011322043,0.00042705153,0.00011958178,0.00023266932,0.00012933576],"domain_scores_gemma":[0.99672014,0.002293805,0.00054869684,0.00021296306,0.00018664211,0.000037757763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003006977,0.00010995117,0.00034866662,0.000033939734,0.00020849446,0.0000073959377,0.0003169745,0.000034558532,0.000005419429],"category_scores_gemma":[0.0004174221,0.000038036724,0.00007380866,0.00026478048,0.0011600516,0.000057213023,0.0001321575,0.000238623,5.266231e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001107101,0.00009830968,0.0063256603,0.000008135251,0.00001808098,8.552534e-7,0.0025071143,0.00029703422,0.9861506,0.0032180033,0.00020570695,0.000063399144],"study_design_scores_gemma":[0.0012801173,0.00823686,0.35990235,0.00007966701,0.00019339823,0.0007461237,0.0021443397,0.010807538,0.6125086,0.00061617885,0.003337564,0.00014729238],"about_ca_topic_score_codex":0.000035688554,"about_ca_topic_score_gemma":0.00013523703,"teacher_disagreement_score":0.37364203,"about_ca_system_score_codex":0.000014061687,"about_ca_system_score_gemma":0.00007008588,"threshold_uncertainty_score":0.4274258},"labels":[],"label_agreement":null},{"id":"W2274504455","doi":"10.1371/journal.pcbi.1006359","title":"A multi-scale layer-resolved spiking network model of resting-state dynamics in macaque visual cortical areas","year":2018,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":145,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital; Baycrest Hospital","funders":"FP7 Information and Communication Technologies; H2020 Future and Emerging Technologies; Deutsche Forschungsgemeinschaft; Helmholtz-Gemeinschaft; European Commission","keywords":"Visual cortex; Macaque; Neuroscience; Cortex (anatomy); Resting state fMRI; Excitatory postsynaptic potential; Population; Metastability; Inhibitory postsynaptic potential; Computer science; Physics; Psychology","score_opus":0.060704383729636005,"score_gpt":0.30873686136648026,"score_spread":0.24803247763684427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2274504455","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8303342,0.0000026605862,0.16892132,0.00018499201,0.00016539778,0.00015836771,0.000039648476,0.00004118152,0.00015227165],"genre_scores_gemma":[0.98545223,0.0000026336363,0.01375323,0.0005912331,0.00008707711,0.000010510675,0.000050444727,0.000014916209,0.000037693855],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985906,0.0001765101,0.00038309558,0.0004017063,0.00013972381,0.0003083486],"domain_scores_gemma":[0.9989256,0.000670203,0.00014702886,0.00008979557,0.00010885568,0.00005846247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012751712,0.0001309843,0.00021344372,0.000105453146,0.00011178578,0.0000135770415,0.00015017988,0.00008723887,0.000009605122],"category_scores_gemma":[0.00037634245,0.00012316534,0.000044633332,0.0002914671,0.0003102719,0.000056807792,0.00011548135,0.00020903135,0.000014364873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029087215,0.00037443114,0.04741478,0.000018821647,0.000009582668,0.0000097455695,0.00009104872,0.53127015,0.4071141,0.011974837,0.000022396725,0.0014092209],"study_design_scores_gemma":[0.00043738956,0.00023517995,0.010572693,0.000026165337,0.0000047279686,0.0000082795395,0.0000057145453,0.96873975,0.0023711952,0.017474122,0.000004284461,0.000120504024],"about_ca_topic_score_codex":0.000027922286,"about_ca_topic_score_gemma":0.00025626167,"teacher_disagreement_score":0.43746957,"about_ca_system_score_codex":0.000078029,"about_ca_system_score_gemma":0.000062225234,"threshold_uncertainty_score":0.5022537},"labels":[],"label_agreement":null},{"id":"W2276395500","doi":"10.1038/nmeth.3777","title":"Neural circuit diagrams","year":2016,"lang":"en","type":"article","venue":"Nature Methods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"Consistency (knowledge bases); Computer science; Diagram; Neuroscience; Biology; Artificial intelligence; Database","score_opus":0.047263274477075,"score_gpt":0.36543095281646715,"score_spread":0.31816767833939213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2276395500","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60704607,0.0004717869,0.3213729,0.014900668,0.016534336,0.00070831215,0.000049420425,0.0008802858,0.038036242],"genre_scores_gemma":[0.9860004,0.00002769909,0.005757825,0.0039751045,0.00028332727,0.00001072343,6.5421756e-7,0.0000208944,0.0039233314],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99858093,0.00044330966,0.00012665059,0.00039653218,0.00019591516,0.00025664264],"domain_scores_gemma":[0.99843144,0.0011174572,0.00005730046,0.00028745073,0.00002614806,0.00008022644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004246517,0.0001226855,0.00012546852,0.00006314733,0.00009400807,0.000036377136,0.00023152134,0.00019944774,0.0001248926],"category_scores_gemma":[0.002442709,0.000068750305,0.00008879324,0.0002792179,0.00006832949,0.00015602165,0.000057562112,0.00036762154,0.000050661696],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000069184407,0.000009516295,0.00012320264,0.0000019269476,8.1280325e-7,0.0000069568455,0.000005736126,4.845166e-7,0.6196623,0.01502771,0.00033895267,0.3648155],"study_design_scores_gemma":[0.0004887026,0.000121763165,0.0061611272,0.000016487618,0.000011378613,0.00008155573,0.0000028972281,0.001160573,0.83041626,0.047681898,0.113553934,0.0003034213],"about_ca_topic_score_codex":0.0000012534861,"about_ca_topic_score_gemma":0.000001310303,"teacher_disagreement_score":0.37895438,"about_ca_system_score_codex":0.000030249941,"about_ca_system_score_gemma":0.000010304769,"threshold_uncertainty_score":0.2924327},"labels":[],"label_agreement":null},{"id":"W2276607561","doi":"10.1152/jn.00699.2015","title":"Grids from bands, or bands from grids? An examination of the effects of single unit contamination on grid cell firing fields","year":2015,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; Vlaamse regering; Academy of Finland; Alberta Innovates - Health Solutions","keywords":"Spurious relationship; Grid; Grid cell; Computer science; Limiting; Spike sorting; Electrophysiology; Spike (software development); Neuroscience; Biological system; Pattern recognition (psychology); Artificial intelligence; Biology; Mathematics; Engineering","score_opus":0.03815049642620284,"score_gpt":0.24703471741016608,"score_spread":0.20888422098396325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2276607561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964054,0.000010670186,0.00010614064,0.00011600327,0.0031056493,0.00011142242,0.000021598024,0.0000069704206,0.00011613108],"genre_scores_gemma":[0.9990421,0.000034710247,0.000024286419,0.00039994717,0.00039399724,0.000001159952,0.0000061482033,0.000013873517,0.000083759536],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983455,0.0005979719,0.00042247082,0.00020128624,0.0003074379,0.00012534544],"domain_scores_gemma":[0.99753755,0.0012823282,0.00070243253,0.00023300792,0.00017627151,0.00006842581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000886366,0.00013054637,0.0002932833,0.00011171873,0.000053553656,0.000014285777,0.0003216193,0.000094783725,0.000014475598],"category_scores_gemma":[0.0010889403,0.00008186567,0.00009376497,0.00020541604,0.000104161954,0.00021854039,0.00006295409,0.00028424675,0.0000018637899],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041675923,0.0002663262,0.00012540762,0.000020150112,0.000005334498,0.000026620319,0.00022445525,0.0011451383,0.99409765,0.000030955292,0.00006502913,0.0035761695],"study_design_scores_gemma":[0.0014507677,0.007170213,0.19210418,0.00008462661,0.00004226209,0.000013103424,0.00004029044,0.0033665127,0.7947067,0.00076994416,0.00015432984,0.000097081764],"about_ca_topic_score_codex":0.000028111022,"about_ca_topic_score_gemma":0.000007138676,"teacher_disagreement_score":0.19939096,"about_ca_system_score_codex":0.00002758588,"about_ca_system_score_gemma":0.000044376466,"threshold_uncertainty_score":0.33383852},"labels":[],"label_agreement":null},{"id":"W2278913257","doi":"10.1016/j.brainres.2016.02.025","title":"Memory for pure tone sequences without contour","year":2016,"lang":"en","type":"article","venue":"Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"International Laboratory for Brain, Music and Sound Research; Université de Montréal; Institut Universitaire de Gériatrie de Montréal","funders":"Canada Research Chairs","keywords":"Amplitude; Tone (literature); Audiology; Set (abstract data type); Perception; Interval (graph theory); Psychology; Noise (video); Echoic memory; White noise; Negativity effect; Speech recognition; Mathematics; Cognition; Cognitive psychology; Computer science; Statistics; Physics; Neuroscience; Artificial intelligence; Medicine; Art","score_opus":0.15380884468768358,"score_gpt":0.4239184071324059,"score_spread":0.27010956244472234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2278913257","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92020214,0.000036801142,0.0017116455,0.06656543,0.00049828494,0.0012127567,0.00007569716,0.000120716824,0.009576542],"genre_scores_gemma":[0.9468094,0.00002688245,0.00008394775,0.0010661944,0.00026616233,0.00014768045,0.0000013958681,0.000020589667,0.051577732],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99789226,0.0003163776,0.00014998883,0.00048773873,0.0006043925,0.00054926594],"domain_scores_gemma":[0.9966401,0.0027548017,0.00003642472,0.00028757215,0.00015592191,0.00012520057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014615067,0.000097503325,0.00012448743,0.00014758151,0.00032863868,0.000092735674,0.00037142274,0.00007118988,0.00016817622],"category_scores_gemma":[0.005150186,0.000058783797,0.000060239723,0.00028873273,0.00034097326,0.00020837462,0.00010288804,0.00016121696,0.00016062194],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010718279,0.000025617326,0.000118755976,0.000016909284,0.000002045969,0.000011307224,0.000034445085,0.0000011563819,0.9317441,0.013444361,0.019792007,0.034702137],"study_design_scores_gemma":[0.0019886536,0.000940085,0.0012697126,0.000107752974,0.0000033258334,0.000046474714,0.00015037834,0.0015098564,0.8398587,0.054495174,0.09928891,0.0003409908],"about_ca_topic_score_codex":0.00002163196,"about_ca_topic_score_gemma":0.00004927131,"teacher_disagreement_score":0.091885395,"about_ca_system_score_codex":0.00006608728,"about_ca_system_score_gemma":0.000103678656,"threshold_uncertainty_score":0.61656255},"labels":[],"label_agreement":null},{"id":"W2280608818","doi":"10.1152/jn.00352.2015","title":"Effects of GABA<sub>A</sub> kinetics on cortical population activity: computational studies and physiological confirmations","year":2016,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Agence Nationale de la Recherche","keywords":"Neuroscience; Inhibitory postsynaptic potential; Excitatory postsynaptic potential; Population; Stimulus (psychology); Chemistry; Postsynaptic potential; Postsynaptic Current; Time constant; Mesoscopic physics; Electrophysiology; Receptor; Physics; Biophysics; Psychology; Biology; Medicine","score_opus":0.04574585249246595,"score_gpt":0.29397241194435975,"score_spread":0.2482265594518938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2280608818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982411,0.0000068952318,0.0004981822,0.00065052224,0.0004933362,0.00009332734,0.00000405397,0.000008592045,0.0000039893134],"genre_scores_gemma":[0.9991917,0.00021932328,0.000044213575,0.00043211516,0.000099891906,0.0000016348127,3.9102105e-7,0.0000074718146,0.000003234811],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988807,0.00034647834,0.00030232282,0.00017075606,0.00017841693,0.00012134722],"domain_scores_gemma":[0.9970436,0.0023603484,0.00036528907,0.000064759275,0.000113282586,0.000052713985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000032835116,0.000109498505,0.00030014676,0.00009792879,0.0000686486,0.00000643823,0.00007130485,0.00004805687,0.0000013312537],"category_scores_gemma":[0.0013919667,0.000063719934,0.00007276918,0.00009318038,0.00023443512,0.00010488994,0.000046559035,0.0001597402,0.000003395671],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002197737,0.00014180223,0.000018289898,0.000030823958,0.000010978442,0.000024102554,0.000012202708,0.0011558782,0.99268293,0.0019255205,0.000020430205,0.003757282],"study_design_scores_gemma":[0.0009038015,0.004155182,0.5127854,0.000080695754,0.000033460645,0.00011273735,0.0000035096264,0.002143623,0.46725464,0.0124110365,0.00001399147,0.00010193444],"about_ca_topic_score_codex":1.724792e-7,"about_ca_topic_score_gemma":1.0599878e-7,"teacher_disagreement_score":0.52542824,"about_ca_system_score_codex":0.000019251573,"about_ca_system_score_gemma":0.000009642504,"threshold_uncertainty_score":0.25984234},"labels":[],"label_agreement":null},{"id":"W2280694712","doi":"10.1007/s10827-015-0583-3","title":"A stochastic model of input effectiveness during irregular gamma rhythms","year":2015,"lang":"en","type":"article","venue":"Journal of Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"General Dynamics (Canada); Royal Ottawa Mental Health Centre; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Rhythm; Computer science; Neuroscience; Theory of computation; Cognitive science; Artificial intelligence; Psychology; Medicine; Algorithm; Internal medicine","score_opus":0.052300412986069265,"score_gpt":0.2795901379205156,"score_spread":0.22728972493444635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2280694712","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8117637,0.000008778832,0.18726237,0.00013921784,0.00067625113,0.000092082904,0.0000062866134,0.000010532515,0.0000407745],"genre_scores_gemma":[0.9990026,0.0000023250088,0.00067199144,0.00021889883,0.000062079744,0.0000015490609,2.2896332e-7,0.00001097476,0.000029377414],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979523,0.00016490826,0.00043903323,0.00023902011,0.0010185554,0.00018619641],"domain_scores_gemma":[0.9984859,0.0003591425,0.000515104,0.000105839696,0.0003602994,0.00017369585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005109377,0.00012320888,0.00023041155,0.00024994058,0.00010272157,0.000050561117,0.0003196765,0.000029311906,0.0000015616906],"category_scores_gemma":[0.0012709834,0.00010419227,0.00010040049,0.00050880306,0.00028115505,0.0005364354,0.00008316951,0.00019203541,0.0000021037322],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010997045,0.00005747814,0.000046486708,0.000013081138,6.7256815e-7,0.000022165,0.000036271947,0.6502854,0.34671047,0.0025913424,0.0000063286416,0.00012028872],"study_design_scores_gemma":[0.0008150689,0.0003664336,0.008982248,0.000056661065,0.000007749162,0.0007585186,0.0000065704166,0.9288969,0.02870898,0.03128988,0.0000045053666,0.000106497275],"about_ca_topic_score_codex":6.7924367e-7,"about_ca_topic_score_gemma":9.231669e-8,"teacher_disagreement_score":0.3180015,"about_ca_system_score_codex":0.000060806397,"about_ca_system_score_gemma":0.00027192174,"threshold_uncertainty_score":0.42488375},"labels":[],"label_agreement":null},{"id":"W2281705285","doi":"10.1016/j.neunet.2016.01.010","title":"Function approximation in inhibitory networks","year":2016,"lang":"en","type":"article","venue":"Neural Networks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Air Force Office of Scientific Research; Canada Research Chairs","keywords":"Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Neocortex; Neuroscience; Computer science; Synapse; Computation; Neuron; Artificial intelligence; Biology; Algorithm","score_opus":0.017055030937247005,"score_gpt":0.2181819196183091,"score_spread":0.2011268886810621,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2281705285","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88364285,0.00009068887,0.10749919,0.0013625509,0.0046444396,0.00053131435,0.0000028030388,0.00031524475,0.0019109263],"genre_scores_gemma":[0.99709207,0.000078081786,0.000013801274,0.0015232371,0.00070419576,0.00003677773,0.0000046252,0.000027426198,0.0005198154],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983667,0.00017741305,0.0003106221,0.0005030301,0.00021095281,0.00043127127],"domain_scores_gemma":[0.9992283,0.000309371,0.00011917457,0.0002386103,0.000022531776,0.00008202046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001873573,0.00018440578,0.00015752546,0.00011584849,0.000116735624,0.000053800326,0.0001482645,0.00015586098,0.00006390587],"category_scores_gemma":[0.00011751664,0.00012726415,0.00007178589,0.0004608451,0.000078098856,0.00048344227,0.00006553583,0.00027331096,0.000028533144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006000824,0.00016696833,0.0077762995,0.0000143484,0.000004583444,0.00005240311,0.00002770581,0.2147499,0.19349909,0.008617411,0.003811888,0.5706793],"study_design_scores_gemma":[0.0007564339,0.00016218689,0.00978859,0.00004277463,0.0000055087958,0.000018709481,0.0000038744424,0.9852262,0.0015161244,0.0010985916,0.0011423157,0.00023867485],"about_ca_topic_score_codex":0.0000067267474,"about_ca_topic_score_gemma":0.000026054084,"teacher_disagreement_score":0.7704763,"about_ca_system_score_codex":0.00007861211,"about_ca_system_score_gemma":0.0000071325558,"threshold_uncertainty_score":0.5189681},"labels":[],"label_agreement":null},{"id":"W2284524030","doi":"10.1016/j.jneumeth.2016.01.012","title":"Detecting neuromagnetic synchrony in the presence of noise","year":2016,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Baycrest Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Coherence (philosophical gambling strategy); Computer science; SIGNAL (programming language); Noise (video); Detection theory; Artificial intelligence; Pattern recognition (psychology); Statistics; Mathematics; Telecommunications; Detector","score_opus":0.06966195629883042,"score_gpt":0.36394988293435526,"score_spread":0.29428792663552483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2284524030","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96657574,0.000027599503,0.029743835,0.0018378618,0.001412913,0.00013375748,0.0000015057877,0.0000071719523,0.0002596373],"genre_scores_gemma":[0.99505454,0.000094701034,0.003937688,0.0007295927,0.00006529296,0.0000022415318,3.6737533e-9,0.00000899007,0.000106957516],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9965233,0.0016880134,0.00060155115,0.00028082068,0.0006188721,0.00028744832],"domain_scores_gemma":[0.99495465,0.0039916686,0.0006129727,0.00029758064,0.00007298257,0.00007017569],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002999801,0.00012214087,0.00022275776,0.00025563283,0.00010378878,0.000053453055,0.0010083187,0.00003327213,0.0000081104],"category_scores_gemma":[0.015884994,0.000059703754,0.000116962794,0.0010267553,0.00036555465,0.0005018131,0.00009762501,0.0002854565,0.0000011571825],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028421757,0.00005062996,0.00046505468,0.0000069838584,1.6390257e-7,0.000047560632,0.00008948945,0.0001092943,0.93705034,0.00020032054,0.0000127171825,0.061939035],"study_design_scores_gemma":[0.00065777905,0.0018996916,0.08023653,0.00013728812,0.000014714269,0.0018720682,0.000065348395,0.009106412,0.90087414,0.003274285,0.0016795933,0.00018216959],"about_ca_topic_score_codex":0.000004472657,"about_ca_topic_score_gemma":0.0000014159775,"teacher_disagreement_score":0.079771474,"about_ca_system_score_codex":0.000023168188,"about_ca_system_score_gemma":0.000066842535,"threshold_uncertainty_score":0.99240464},"labels":[],"label_agreement":null},{"id":"W2287431041","doi":"10.1152/jn.00649.2015","title":"Spatiotemporal profiles of receptive fields of neurons in the lateral posterior nucleus of the cat LP-pulvinar complex","year":2015,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Receptive field; Neuroscience; Superior colliculus; Superior Colliculi; Nucleus; Stimulus (psychology); Thalamus; Visual cortex; Visual system; Biology; Physics; Psychology","score_opus":0.06850143849650653,"score_gpt":0.28242980140631196,"score_spread":0.21392836290980544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2287431041","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99727196,0.000002210556,0.0000031487173,0.0017312734,0.00069358706,0.00014560578,0.000019904532,0.0000018299892,0.0001304697],"genre_scores_gemma":[0.99914134,0.000013870612,0.000041435567,0.00070651714,0.000055559405,8.7430936e-7,5.9689347e-7,0.000008136551,0.00003164752],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99835706,0.0006453527,0.00052608666,0.00012047893,0.00022756972,0.00012346162],"domain_scores_gemma":[0.998578,0.0002642788,0.00077291054,0.00021405144,0.00014179728,0.00002894473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010215184,0.00009567686,0.00029695054,0.00008414622,0.000029078381,0.0000056945923,0.0004813193,0.000047777296,0.000008706442],"category_scores_gemma":[0.00041605634,0.000051712224,0.00012743093,0.0002294248,0.00026233683,0.00009231308,0.00011104621,0.00024309586,8.6639454e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041615992,0.00012901741,0.00078266923,0.000018471228,0.0000032439636,0.000020143203,0.0005904178,0.00061611325,0.9967692,0.00014583596,0.00019329504,0.00031545383],"study_design_scores_gemma":[0.0015624244,0.009070737,0.8715874,0.00009109281,0.000037194055,0.0005198358,0.00033249197,0.0046034325,0.107792884,0.0037651693,0.00047530164,0.00016204974],"about_ca_topic_score_codex":0.0000477323,"about_ca_topic_score_gemma":0.0000072685734,"teacher_disagreement_score":0.8889763,"about_ca_system_score_codex":0.000011736706,"about_ca_system_score_gemma":0.00006414412,"threshold_uncertainty_score":0.21087633},"labels":[],"label_agreement":null},{"id":"W2288495699","doi":"10.1016/j.neuroimage.2016.02.070","title":"Stimulating forebrain communications: Slow sinusoidal electric fields over frontal cortices dynamically modulate hippocampal activity and cortico-hippocampal interplay during slow-wave states","year":2016,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta","funders":"","keywords":"Hippocampal formation; Neuroscience; Hippocampus; Memory consolidation; Stimulation; Local field potential; Psychology","score_opus":0.021156710448894018,"score_gpt":0.26665477712387764,"score_spread":0.2454980666749836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2288495699","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943789,0.000020855676,0.003384953,0.00089819136,0.0002713839,0.0004374473,0.00007179579,0.00019211594,0.00034433015],"genre_scores_gemma":[0.9985204,0.00010174794,0.00026359863,0.0005739597,0.000066625464,0.000024011097,0.000007570811,0.000054721422,0.00038736433],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974236,0.00034512143,0.0004451321,0.00080673036,0.00037372892,0.00060567976],"domain_scores_gemma":[0.99741215,0.0013170415,0.0002832571,0.0007500226,0.00005177012,0.0001857473],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017093001,0.00035074464,0.00032456074,0.00016789223,0.00045243095,0.00023923104,0.00039809113,0.00012342833,0.00004941077],"category_scores_gemma":[0.0009226438,0.00027544834,0.00011396569,0.00027709422,0.00026879992,0.00082411815,0.0004844562,0.0004757487,0.000017636885],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028669028,0.00011936787,0.005078081,0.000029983206,0.000009723987,0.0000686536,0.000112096626,0.00008848264,0.97302693,0.0002023119,0.000025946987,0.020951703],"study_design_scores_gemma":[0.0018675454,0.0006584019,0.29332784,0.000104708066,0.00003598802,0.00017936417,0.000017755123,0.65071845,0.050029144,0.0024603473,0.00004218455,0.0005582395],"about_ca_topic_score_codex":0.000066153116,"about_ca_topic_score_gemma":0.000104081555,"teacher_disagreement_score":0.92299783,"about_ca_system_score_codex":0.000107304506,"about_ca_system_score_gemma":0.00003906047,"threshold_uncertainty_score":0.9999698},"labels":[],"label_agreement":null},{"id":"W2289689934","doi":"10.1162/jocn_a_00947","title":"Age-related Multiscale Changes in Brain Signal Variability in Pre-task versus Post-task Resting-state EEG","year":2016,"lang":"en","type":"article","venue":"Journal of Cognitive Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Calgary","funders":"","keywords":"Resting state fMRI; Default mode network; Psychology; Functional connectivity; Electroencephalography; Posterior cingulate; Sample entropy; Brain activity and meditation; Stimulus (psychology); Neuroscience; Cognitive psychology; Developmental psychology; Cognition; Pattern recognition (psychology)","score_opus":0.027437499968690784,"score_gpt":0.28428365280079704,"score_spread":0.25684615283210627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2289689934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934116,0.000007164596,0.0008544657,0.0035758705,0.0014138815,0.00035457534,0.000062836254,0.000024845205,0.00029474145],"genre_scores_gemma":[0.9980954,0.000057062178,0.000024491763,0.0014143504,0.000043212753,0.000008213861,5.489592e-7,0.000019205685,0.00033751884],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99618727,0.0011192183,0.0007225337,0.00067038205,0.0007292723,0.0005713443],"domain_scores_gemma":[0.9926782,0.0061258,0.00060287124,0.00016477024,0.0002321183,0.00019618706],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0020265912,0.00024372825,0.00034358082,0.0005109782,0.00012890217,0.000094835515,0.0004866717,0.00008392905,0.000027960063],"category_scores_gemma":[0.02680219,0.00017226837,0.00009924614,0.0012107091,0.00065925263,0.0008345861,0.00015337903,0.0005748236,0.000009564064],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010672329,0.000254047,0.003588791,0.000007771277,0.0000011260898,0.00074365234,0.00035160652,0.00011059617,0.9736431,0.00004962523,0.000015637019,0.020166766],"study_design_scores_gemma":[0.008478493,0.004278849,0.8109899,0.00087845884,0.000020998517,0.0004314397,0.00006957303,0.007820114,0.16349393,0.0027081221,0.0002473575,0.00058277126],"about_ca_topic_score_codex":0.00003014959,"about_ca_topic_score_gemma":0.00021553421,"teacher_disagreement_score":0.8101492,"about_ca_system_score_codex":0.00014375888,"about_ca_system_score_gemma":0.00016174687,"threshold_uncertainty_score":0.9813955},"labels":[],"label_agreement":null},{"id":"W2291257668","doi":"10.1016/j.neuroimage.2016.02.076","title":"Top-down alpha oscillatory network interactions during visuospatial attention orienting","year":2016,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":102,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"","keywords":"Neuroscience; Psychology; Magnetoencephalography; Visual spatial attention; Posterior cingulate; Lateralization of brain function; Cognitive psychology; Visual perception; Electroencephalography; Cortex (anatomy); Perception","score_opus":0.017962881902165367,"score_gpt":0.2529745331167696,"score_spread":0.23501165121460424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2291257668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99056613,0.0000035793346,0.0014159932,0.00079833035,0.0035591307,0.0001781028,0.000011538177,0.00023299581,0.0032341979],"genre_scores_gemma":[0.99424493,0.0000195001,0.000050061713,0.00048189706,0.0007070735,0.000013644353,0.0000017113008,0.00003264252,0.0044485144],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99835104,0.00013156963,0.0002650835,0.0005802331,0.00026153983,0.00041053176],"domain_scores_gemma":[0.9991943,0.00021816652,0.00014801546,0.00030804955,0.00003844025,0.00009298196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010859584,0.00016531417,0.0001284231,0.00008623088,0.00044258207,0.000103893784,0.00016673164,0.000038026,0.00023014763],"category_scores_gemma":[0.00038030895,0.00012625908,0.000111957015,0.00028334418,0.000076181874,0.00058143155,0.00014727334,0.00017810012,0.00029461633],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003449402,0.000030029683,0.0054861507,0.0000075417893,0.0000017657483,0.000039636445,0.0000112475345,0.000030280837,0.98816323,0.0006043237,0.0005905739,0.005000706],"study_design_scores_gemma":[0.002944411,0.00039390623,0.4966029,0.00028401832,0.00005889056,0.00044966827,0.0000247037,0.0073036198,0.42473298,0.0018641505,0.06415141,0.0011893421],"about_ca_topic_score_codex":0.000007687161,"about_ca_topic_score_gemma":0.0000107724345,"teacher_disagreement_score":0.56343025,"about_ca_system_score_codex":0.000059109527,"about_ca_system_score_gemma":0.000014638994,"threshold_uncertainty_score":0.5148696},"labels":[],"label_agreement":null},{"id":"W2291288069","doi":"10.3389/fnsys.2016.00007","title":"Spontaneous Neural Dynamics and Multi-scale Network Organization","year":2016,"lang":"en","type":"review","venue":"Frontiers in Systems Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; University of Toronto","funders":"National Institute of Mental Health; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; National Institutes of Health; Ögonfonden","keywords":"Scale (ratio); Computer science; Artificial neural network; Nervous system network models; Dynamics (music); Artificial intelligence; Time delay neural network; Psychology; Probabilistic neural network; Physics","score_opus":0.02673955707887624,"score_gpt":0.2605556164854996,"score_spread":0.23381605940662334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2291288069","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00032014964,0.9279615,0.04011737,0.00005430209,0.02865874,0.0022802427,0.0002000593,0.00025892313,0.00014868303],"genre_scores_gemma":[0.0010853335,0.9953548,0.0002644953,0.00017286942,0.000275216,0.000059242262,0.000014182835,0.00011753548,0.0026563662],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9955202,0.0006940171,0.00087956793,0.0016100373,0.00049390155,0.0008023239],"domain_scores_gemma":[0.99830204,0.00025471917,0.00060291495,0.0005859215,0.000047093712,0.00020733678],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038707862,0.0006037578,0.0013465193,0.00039435597,0.00036649586,0.00037798737,0.0008503956,0.00032511234,0.0000025199413],"category_scores_gemma":[0.0007133746,0.00045595467,0.00012751554,0.0020058944,0.00040039286,0.00040116312,0.00031624318,0.00050170074,0.000016338912],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016575776,0.00012149506,0.0009997188,0.0050625657,0.0000048287266,0.0023931277,0.000054339398,0.00075433805,0.00039076625,0.001012086,0.0020343275,0.98715585],"study_design_scores_gemma":[0.0005943838,0.00021745787,0.00013019975,0.0083944155,0.00010417424,0.013766582,0.000030944855,0.4274792,0.0000056331887,0.000055862074,0.5475708,0.0016502975],"about_ca_topic_score_codex":0.000013148581,"about_ca_topic_score_gemma":0.000015551735,"teacher_disagreement_score":0.9855055,"about_ca_system_score_codex":0.00039363132,"about_ca_system_score_gemma":0.00012602477,"threshold_uncertainty_score":0.99978924},"labels":[],"label_agreement":null},{"id":"W2293823947","doi":"10.1016/j.neuroimage.2016.03.001","title":"The neural correlates of processing scale-invariant environmental sounds at birth","year":2016,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institute on Deafness and Other Communication Disorders; Agence Nationale de la Recherche; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Natural sounds; Neural coding; Invariant (physics); Sensory system; Property (philosophy); Scale invariance; Psychology; Scale (ratio); ENCODE; Speech recognition; Communication; Computer science; Pattern recognition (psychology); Cognitive psychology; Neuroscience; Mathematics; Biology; Physics; Statistics","score_opus":0.015043542527936481,"score_gpt":0.21972240133613982,"score_spread":0.20467885880820333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2293823947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971431,0.00003267845,0.00012964942,0.001040623,0.00043773098,0.00014537988,0.000036411653,0.00005419884,0.0009802543],"genre_scores_gemma":[0.99474686,0.000088885885,0.000008822581,0.00034834206,0.000047527723,0.000006667639,8.344247e-7,0.0000248807,0.0047271797],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99873006,0.00010559841,0.00022689583,0.0003689506,0.0002874391,0.0002810248],"domain_scores_gemma":[0.9990944,0.0004039093,0.0001560846,0.00027742266,0.000007647986,0.000060492013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010573085,0.00013890752,0.0001096589,0.000034428846,0.00040844502,0.00005671474,0.00025278036,0.00003452245,0.000058416495],"category_scores_gemma":[0.00015962112,0.000072574614,0.00007294467,0.000111385976,0.0003990617,0.00022554384,0.00017650568,0.000106555904,0.00007491572],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067471694,0.000032459397,0.0070620393,0.0000062118215,7.281603e-7,0.00001631759,0.000029364315,0.0000069910443,0.9796352,0.00014728826,0.00016480417,0.012831168],"study_design_scores_gemma":[0.0016041535,0.0006778644,0.17941914,0.000058966198,0.0000291528,0.0004746847,0.000043798493,0.032413088,0.771076,0.0016111444,0.01206674,0.00052525476],"about_ca_topic_score_codex":0.0000017383946,"about_ca_topic_score_gemma":0.0000045417364,"teacher_disagreement_score":0.20855916,"about_ca_system_score_codex":0.000036653113,"about_ca_system_score_gemma":0.000011015369,"threshold_uncertainty_score":0.31414703},"labels":[],"label_agreement":null},{"id":"W2295124258","doi":"10.5220/0005633701630167","title":"Artificial Neural Networks for In-silico Experiments on Perception","year":2015,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"In silico; Computer science; Artificial neural network; Artificial intelligence; Perception; Chemistry; Biology; Neuroscience","score_opus":0.11041307281679276,"score_gpt":0.3222802582090894,"score_spread":0.21186718539229665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2295124258","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99292696,0.000001475825,0.0027151185,0.00046595777,0.0011230021,0.00030706445,0.0000016339235,0.000053732576,0.0024050346],"genre_scores_gemma":[0.99709886,0.0000010640205,0.00004817994,0.0019601125,0.00019374279,0.0000411676,0.0000047244066,0.000010547663,0.0006416176],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992304,0.00004066444,0.00013756414,0.0002659067,0.00013309842,0.00019239182],"domain_scores_gemma":[0.99971724,0.00006803058,0.000027561286,0.000106866,0.00001544333,0.000064866086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001037309,0.000082812345,0.000074638425,0.000057521607,0.000052746374,0.000043625543,0.00007576062,0.000044513246,0.000026224872],"category_scores_gemma":[0.000113235445,0.00006840733,0.00003597185,0.00011828601,0.000022417364,0.0001191105,0.000019843397,0.00007508274,0.000028631139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009234376,0.0004178956,0.0009657906,0.000004553422,0.0000012788378,0.000009196384,0.0003247425,0.034245104,0.871114,0.015783388,0.0042203236,0.071990274],"study_design_scores_gemma":[0.00037831184,0.000499759,0.0013761538,0.0000032714095,0.0000013823591,0.000003382554,0.00011162903,0.9667738,0.02887104,0.001304758,0.00054644025,0.00013008891],"about_ca_topic_score_codex":0.0000139386675,"about_ca_topic_score_gemma":0.000020009968,"teacher_disagreement_score":0.9325287,"about_ca_system_score_codex":0.000054912813,"about_ca_system_score_gemma":0.0000067875435,"threshold_uncertainty_score":0.278957},"labels":[],"label_agreement":null},{"id":"W2295240933","doi":"10.1152/jn.00914.2015","title":"Low- and high-gamma oscillations deviate in opposite directions from zero-phase synchrony in the limbic corticostriatal loop","year":2016,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Fondation Fyssen","keywords":"Neuroscience; Local field potential; Ventral striatum; Prefrontal cortex; Physics; Striatum; Psychology; Dopamine; Cognition","score_opus":0.022996748757310354,"score_gpt":0.2629546139103863,"score_spread":0.23995786515307596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2295240933","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99689484,0.000017929928,0.00017984128,0.0020159145,0.000724953,0.00011472319,0.00002950311,0.0000070911565,0.000015187382],"genre_scores_gemma":[0.9985734,0.0005381691,0.000018940402,0.00069911097,0.0001248372,0.0000032273501,0.0000011202712,0.000010251404,0.000030945583],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986023,0.0004105393,0.000429663,0.00022790256,0.00013790405,0.00019173879],"domain_scores_gemma":[0.9983807,0.0011178348,0.00025551132,0.00015556392,0.000034128505,0.000056264664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000070766575,0.0001139343,0.00022157622,0.00019474374,0.000087327855,0.000033103042,0.00018820392,0.000050517356,0.00001715026],"category_scores_gemma":[0.0005928082,0.00006418384,0.000057885572,0.00030010275,0.00012617957,0.00023953762,0.00005165015,0.00025969665,0.000011629974],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018754773,0.0001749905,0.00031626967,0.000002322337,0.0000028976508,0.00015753129,0.000031420193,0.00016037858,0.99174905,0.00021201921,0.000018205352,0.0069873515],"study_design_scores_gemma":[0.007400174,0.003740459,0.93686765,0.00021470171,0.00005631147,0.00072425173,0.000031042648,0.005246348,0.03323181,0.011234267,0.00089507876,0.00035789766],"about_ca_topic_score_codex":0.000038621423,"about_ca_topic_score_gemma":0.000026076385,"teacher_disagreement_score":0.95851725,"about_ca_system_score_codex":0.000036507918,"about_ca_system_score_gemma":0.000034102988,"threshold_uncertainty_score":0.2617341},"labels":[],"label_agreement":null},{"id":"W2295636094","doi":"10.1093/cercor/bhv326","title":"Ordering Information in Working Memory and Modulation of Gamma by Theta Oscillations in Humans","year":2016,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"Canadian Institutes of Health Research; Brain and Behavior Research Foundation","keywords":"Working memory; Electroencephalography; Coupling (piping); Neurophysiology; Psychology; Cognition; Physics; Neuroscience; Computer science; Cognitive psychology; Materials science","score_opus":0.02034573418301651,"score_gpt":0.22840305420237528,"score_spread":0.20805732001935878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2295636094","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973149,0.0000062980935,0.0006775128,0.00023022365,0.00010930562,0.00014357112,0.0000056851736,0.000016752478,0.0014957569],"genre_scores_gemma":[0.9997291,0.00002010582,0.000019803583,0.00007134392,0.000010007918,0.0000047571275,0.000003767668,0.0000046059145,0.0001365016],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993837,0.000034172917,0.00023005686,0.00013155793,0.000106137035,0.00011441051],"domain_scores_gemma":[0.9997072,0.00007877935,0.0000914382,0.000090759204,0.0000123206755,0.000019495452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009683375,0.00006374664,0.00008317423,0.00013891922,0.00003933509,0.000020482174,0.000052461983,0.000037010075,0.000021655824],"category_scores_gemma":[0.00011028251,0.000049172028,0.000014073219,0.00021517654,0.00003885841,0.00055510085,0.000032755048,0.000054071137,0.000003867581],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027539545,0.000020251191,0.08317632,0.000016582546,8.153911e-7,6.83944e-7,0.00035470608,0.0004579076,0.8481981,0.0027397587,0.00003183083,0.06497548],"study_design_scores_gemma":[0.0010945468,0.000065130895,0.9259628,0.00012422919,0.0000024990652,0.000003272767,0.00007888505,0.056212947,0.011835704,0.004038772,0.00039631044,0.0001848739],"about_ca_topic_score_codex":0.000045934936,"about_ca_topic_score_gemma":0.0001534336,"teacher_disagreement_score":0.8427865,"about_ca_system_score_codex":0.000035019246,"about_ca_system_score_gemma":0.00000882937,"threshold_uncertainty_score":0.2005177},"labels":[],"label_agreement":null},{"id":"W2295685055","doi":"10.1371/journal.pcbi.1004430","title":"Electrosensory Midbrain Neurons Display Feature Invariant Responses to Natural Communication Stimuli","year":2015,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Midbrain; Neuroscience; Stimulus (psychology); Afferent; Invariant (physics); Hindbrain; Computer science; Biology; Psychology; Mathematics; Central nervous system; Cognitive psychology","score_opus":0.06408029778455522,"score_gpt":0.307774495591022,"score_spread":0.24369419780646678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2295685055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97779524,0.000055278466,0.0016782099,0.019238142,0.00035667577,0.00032759015,0.00010079068,0.00012339605,0.00032464534],"genre_scores_gemma":[0.98790455,0.0000047022254,0.0028377564,0.008265509,0.00007591653,0.000023849803,0.00020108679,0.000016082973,0.0006705755],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998307,0.0006660294,0.00018223804,0.0004015917,0.00018790741,0.00025521842],"domain_scores_gemma":[0.99792063,0.0014985537,0.00008470973,0.00022947593,0.00012829356,0.00013831482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017285312,0.00015118206,0.0001573874,0.0001489996,0.00018926454,0.000051506893,0.00030614896,0.000080661324,0.000008707226],"category_scores_gemma":[0.0020268082,0.00012999785,0.000042824584,0.00032175065,0.00011865548,0.00010974985,0.00014881357,0.00030219613,0.00012762797],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007045985,0.00017224831,0.0010931286,0.0000058545907,0.000014768929,0.000021175663,0.00022158967,0.005426833,0.9145003,0.06941353,0.0075259516,0.0009000172],"study_design_scores_gemma":[0.0028095387,0.0024491216,0.07708429,0.00005430147,0.00005104784,0.00060393004,0.00008885447,0.7507976,0.03940495,0.09774475,0.027678339,0.00123325],"about_ca_topic_score_codex":0.0000074348272,"about_ca_topic_score_gemma":0.000011680463,"teacher_disagreement_score":0.87509537,"about_ca_system_score_codex":0.00007111167,"about_ca_system_score_gemma":0.00009882386,"threshold_uncertainty_score":0.5301158},"labels":[],"label_agreement":null},{"id":"W2295700214","doi":"10.1109/embc.2015.7320034","title":"Multichannel spike detector with an adaptive threshold based on a Sigma-delta control loop","year":2015,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Spike (software development); Detector; Field-programmable gate array; SIGNAL (programming language); Delta-sigma modulation; Noise (video); Computer science; Amplitude; Electronic engineering; Physics; Artificial intelligence; Computer hardware; Engineering; Telecommunications; Bandwidth (computing)","score_opus":0.05393471970522954,"score_gpt":0.25140425561529506,"score_spread":0.19746953591006552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2295700214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95224744,0.000002920761,0.039647236,0.0008278219,0.00040927186,0.00078601413,0.000052045976,0.00029585624,0.005731403],"genre_scores_gemma":[0.9938008,2.5039284e-7,0.0002951743,0.0051523303,0.0000772752,0.00003267027,0.0000030613419,0.000028293138,0.0006101528],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99857473,0.000082593055,0.00013454462,0.0005114955,0.00040449313,0.00029211887],"domain_scores_gemma":[0.9990944,0.00017369633,0.000065239845,0.0003343591,0.000075357515,0.00025690193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015237868,0.00019297967,0.00016255103,0.00008826446,0.000096791504,0.00007161026,0.00018199944,0.000056770667,0.000051526764],"category_scores_gemma":[0.0001595312,0.00012709967,0.000040090097,0.00018303725,0.000079567784,0.00022046415,0.000018152585,0.000161228,0.000060103506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.025138034,0.0023601216,0.0021797416,0.000028608647,0.000030381972,0.0005678725,0.0003243798,0.22961928,0.7121555,0.016661525,0.0016203742,0.009314131],"study_design_scores_gemma":[0.0028153833,0.0049442435,0.000285332,0.000011168255,0.00001170712,0.000007482506,0.000054561475,0.9606467,0.030670337,0.00022924754,0.00010471769,0.0002191496],"about_ca_topic_score_codex":0.000071238384,"about_ca_topic_score_gemma":0.00023332678,"teacher_disagreement_score":0.73102736,"about_ca_system_score_codex":0.000049504008,"about_ca_system_score_gemma":0.00006327088,"threshold_uncertainty_score":0.51829743},"labels":[],"label_agreement":null},{"id":"W2296192341","doi":"10.3389/fnins.2016.00019","title":"Spatial Noise in Coupling Strength and Natural Frequency within a Pacemaker Network; Consequences for Development of Intestinal Motor Patterns According to a Weakly Coupled Phase Oscillator Model","year":2016,"lang":"en","type":"article","venue":"Frontiers in Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Population Health Research Institute","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Coupling (piping); Noise (video); Phase (matter); Phase noise; Physics; Natural frequency; Coupling strength; Acoustics; Computer science; Materials science; Vibration; Optics; Condensed matter physics; Quantum mechanics; Artificial intelligence","score_opus":0.028918391294300013,"score_gpt":0.2737359588112834,"score_spread":0.24481756751698336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2296192341","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7570094,0.00001470619,0.24077061,0.00018795145,0.0013455296,0.0006085746,0.000036830657,0.000023529707,0.0000028894656],"genre_scores_gemma":[0.9775797,0.000017221177,0.021889886,0.00032171863,0.000033632008,0.000095423195,8.4875757e-7,0.000018386445,0.00004319889],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99759144,0.00005126318,0.0005856942,0.00085337687,0.00036181376,0.0005563927],"domain_scores_gemma":[0.9990991,0.00026575982,0.00024383444,0.00018495582,0.000055745175,0.00015065871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000577204,0.00023959136,0.0003294256,0.00029340977,0.00017359151,0.000070044174,0.00029701323,0.000052917905,9.63056e-7],"category_scores_gemma":[0.0017800238,0.00018249029,0.000038645692,0.00053072243,0.00032718107,0.0003847564,0.00014373337,0.00016187747,2.8093507e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002454887,0.000075717144,0.04872371,0.000028398283,6.617998e-7,0.000019683825,0.00020907697,0.0037513901,0.94348305,0.00023757819,0.000012269275,0.0032129614],"study_design_scores_gemma":[0.0013511304,0.00032052625,0.005932828,0.00032564675,0.000003949723,0.000017484106,0.00008753835,0.9518646,0.039005,0.0007979274,0.000009100411,0.00028428278],"about_ca_topic_score_codex":0.000035713143,"about_ca_topic_score_gemma":0.00015311946,"teacher_disagreement_score":0.9481132,"about_ca_system_score_codex":0.00013593653,"about_ca_system_score_gemma":0.00023483922,"threshold_uncertainty_score":0.74417377},"labels":[],"label_agreement":null},{"id":"W2298043829","doi":"10.3389/fnsys.2016.00018","title":"A Role of Phase-Resetting in Coordinating Large Scale Neural Networks During Attention and Goal-Directed Behavior","year":2016,"lang":"en","type":"review","venue":"Frontiers in Systems Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":119,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Ministero dello Sviluppo Economico; Ontario Ministry of Economic Development and Innovation","keywords":"Biological neural network; Computer science; Stimulus (psychology); Neuroscience; Artificial neural network; Information transfer; Context (archaeology); Perception; Sensory system; Network dynamics; Artificial intelligence; Psychology; Cognitive psychology; Machine learning; Telecommunications; Biology; Mathematics","score_opus":0.018914082486681683,"score_gpt":0.2885725961639242,"score_spread":0.26965851367724253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2298043829","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.213807,0.77372926,0.0009976041,0.000012610881,0.007443364,0.0034945656,0.00023961603,0.0001885523,0.00008742161],"genre_scores_gemma":[0.33269665,0.66607994,0.00006562939,0.000022648917,0.00017575156,0.00047197405,0.000010964547,0.00010424232,0.00037220138],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.995292,0.0008453813,0.0012458065,0.0013118102,0.0004935809,0.00081141246],"domain_scores_gemma":[0.99826235,0.00021618712,0.00095943984,0.00039837806,0.0000397129,0.00012393764],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00076855964,0.00045625068,0.0013536914,0.00081708666,0.0002372879,0.00015910123,0.0005827039,0.0002453089,0.000001069722],"category_scores_gemma":[0.0006057759,0.00037851438,0.00017675235,0.0017556995,0.00024840183,0.00051588,0.0002971494,0.0005891544,7.548981e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000794895,0.0008326112,0.021873016,0.010430783,0.0000062242925,0.00033959854,0.00022466609,0.00042373248,0.13743979,0.00009439746,0.00011049971,0.8281452],"study_design_scores_gemma":[0.0036402633,0.0003891256,0.0051939073,0.029748488,0.00014206815,0.0006616667,0.00028455703,0.9346061,0.00021141411,0.000018877205,0.023445146,0.0016584131],"about_ca_topic_score_codex":0.000030845626,"about_ca_topic_score_gemma":0.000011305865,"teacher_disagreement_score":0.93418235,"about_ca_system_score_codex":0.00018950732,"about_ca_system_score_gemma":0.0000477751,"threshold_uncertainty_score":0.99986666},"labels":[],"label_agreement":null},{"id":"W2301799508","doi":"10.1096/fasebj.22.2_supplement.99","title":"Transitions without change: How the perceived nature of shifts in neural field activity may be due to viewer perspective","year":2008,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Perspective (graphical); Dynamics (music); Neural activity; Statistical physics; Biological system; Field (mathematics); Population; Noise (video); Network dynamics; Artificial neural network; Neuroscience; Physics; Local field potential; Computer science; Psychology; Artificial intelligence; Mathematics; Biology; Acoustics","score_opus":0.051070346778798265,"score_gpt":0.28816373039176896,"score_spread":0.2370933836129707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2301799508","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90142,0.000031345247,0.00012411679,0.09740776,0.00040071033,0.00026595657,0.000022304892,0.000009682305,0.00031815883],"genre_scores_gemma":[0.99354947,0.00005992904,0.000012957124,0.0059468537,0.00021733507,0.000011363926,3.2709477e-7,0.000010161957,0.0001915927],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99887604,0.00033182622,0.000106020794,0.00017518019,0.0002974677,0.00021344388],"domain_scores_gemma":[0.9993459,0.0002425663,0.00008719234,0.00018818442,0.000069765454,0.00006637977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002256043,0.00011891409,0.00015339252,0.00008578081,0.00044832085,0.00004438935,0.00028892205,0.0000679122,0.000046504534],"category_scores_gemma":[0.00028280605,0.00006407311,0.000114194045,0.00033036707,0.00012132501,0.00023841324,0.000033370965,0.0010473947,0.0000028523414],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027160396,0.0000999674,0.0003924715,0.000003922769,0.0000075859343,0.0001520657,0.010487664,0.00013933417,0.98630446,0.00042855425,0.00042335113,0.0012890319],"study_design_scores_gemma":[0.0021276395,0.0016640554,0.63032216,0.00017472028,0.000094635085,0.007615859,0.007135267,0.018987633,0.3289378,0.0016234601,0.00061072264,0.00070601195],"about_ca_topic_score_codex":0.000056191286,"about_ca_topic_score_gemma":0.00016112495,"teacher_disagreement_score":0.65736663,"about_ca_system_score_codex":0.00005350667,"about_ca_system_score_gemma":0.000033486307,"threshold_uncertainty_score":0.4550467},"labels":[],"label_agreement":null},{"id":"W2304438957","doi":"10.1093/cercor/bhv320","title":"Neural Processing of Second-Order Motion in the Suprasylvian Cortex of the Cat","year":2016,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Stimulus (psychology); Neuroscience; Primate; Macaque; Spatial frequency; Contrast (vision); Grating; Luminance; Physics; Psychology; Optics; Biology; Cognitive psychology","score_opus":0.021249392838125804,"score_gpt":0.2433234752635446,"score_spread":0.2220740824254188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2304438957","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968755,0.000008349212,0.00007565169,0.0012520513,0.0003696285,0.00026325905,0.000018060884,0.000013575974,0.0011238776],"genre_scores_gemma":[0.9986207,0.0000036736972,0.000008846092,0.0006205846,0.0000374506,0.000007137721,0.0000011382067,0.000011351278,0.0006891086],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988213,0.0001594666,0.00028709174,0.00025353956,0.00027399915,0.00020459827],"domain_scores_gemma":[0.999253,0.0001443019,0.00022112028,0.00030195198,0.00005566023,0.000023965868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015997938,0.000112348964,0.00014372087,0.000054411426,0.00008905473,0.000020333711,0.00038311767,0.00004997327,0.000110246474],"category_scores_gemma":[0.00022916857,0.000050865863,0.00006997415,0.0004686227,0.00020846985,0.00022890903,0.00006621121,0.00010736073,0.000005322289],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002614735,0.00005476,0.015361177,0.000034346034,0.0000011533327,0.0000018343492,0.00031933424,0.0000076860115,0.95774555,0.0012916828,0.00010050847,0.025055848],"study_design_scores_gemma":[0.000651495,0.00015849256,0.9224326,0.00007997239,0.000012092783,0.000045732617,0.0001859476,0.0055312845,0.06810947,0.0023353565,0.00030581933,0.00015175513],"about_ca_topic_score_codex":0.00003032101,"about_ca_topic_score_gemma":0.00027821684,"teacher_disagreement_score":0.9070714,"about_ca_system_score_codex":0.00002417321,"about_ca_system_score_gemma":0.000050339775,"threshold_uncertainty_score":0.20742497},"labels":[],"label_agreement":null},{"id":"W2304994747","doi":"10.1016/j.neuron.2016.02.037","title":"Cooperative Subnetworks of Molecularly Similar Interneurons in Mouse Neocortex","year":2016,"lang":"en","type":"article","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":223,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Army Research Office; National Center for Chronic Disease Prevention and Health Promotion; National Eye Institute; National Institute of Mental Health; Canadian Institutes of Health Research; Defense Advanced Research Projects Agency; Human Frontier Science Program","keywords":"Neocortex; Neuroscience; Optogenetics; Biology; Psychology","score_opus":0.01934808382951207,"score_gpt":0.24046714445963435,"score_spread":0.2211190606301223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2304994747","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959361,0.000006416749,0.0015850614,0.00075907644,0.00032792654,0.00022188795,0.000022383672,0.000043136162,0.0010980082],"genre_scores_gemma":[0.9973208,0.00006357281,0.000013015171,0.0010963527,0.00002830367,0.000011474008,8.75724e-7,0.000024278394,0.0014413728],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99874395,0.00018754201,0.0002437415,0.0004051535,0.00018157947,0.00023803595],"domain_scores_gemma":[0.9993216,0.00024618965,0.00008700298,0.00026177196,0.000028983435,0.000054477754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000686281,0.00013793581,0.0001604836,0.000104813764,0.000030505125,0.000020230722,0.0002122077,0.000052626358,0.000049630726],"category_scores_gemma":[0.0003617075,0.00009733901,0.000056329263,0.0002432764,0.00010233534,0.00018966687,0.000085805616,0.00015666494,0.000028423237],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006713296,0.00006712432,0.0009976779,0.000004196465,8.708139e-7,0.00005488414,0.000030372199,0.00017742111,0.99368,0.0014294265,0.00012628993,0.0033646203],"study_design_scores_gemma":[0.0009702174,0.0006809286,0.008188867,0.00004724116,0.000004928733,0.000020012683,0.0000067164137,0.0077583166,0.98005617,0.0003634745,0.0016813882,0.00022174139],"about_ca_topic_score_codex":0.000015275957,"about_ca_topic_score_gemma":0.000035008612,"teacher_disagreement_score":0.013623817,"about_ca_system_score_codex":0.000024451718,"about_ca_system_score_gemma":0.00001872748,"threshold_uncertainty_score":0.39693695},"labels":[],"label_agreement":null},{"id":"W2305313695","doi":"10.1017/cbo9781139136907.001","title":"Plasticity in Sensory Systems","year":2012,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Brain disease; Neuroscience; Neuroplasticity; Liberian dollar; Promotion (chess); Commercialism; Psychology; Disease; Medicine; Business; Political science; Finance; Internal medicine","score_opus":0.043115432382424386,"score_gpt":0.20102665266049485,"score_spread":0.15791122027807047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2305313695","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0050073187,0.000037761318,0.000112632835,0.00000586392,0.0008553614,0.00041464178,0.00030695007,0.00011371765,0.99314576],"genre_scores_gemma":[0.07443822,0.00008103658,0.0000034319237,0.00006228878,0.0001534884,5.5633524e-7,0.000008330459,0.00003671857,0.9252159],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99862105,0.00007250149,0.00018185741,0.0005203966,0.00026915735,0.0003350116],"domain_scores_gemma":[0.9991349,0.00021163019,0.00018823324,0.00027756955,0.000039352955,0.00014833937],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000058648482,0.00030179168,0.00033058928,0.00022690458,0.00012328815,0.00004082888,0.0003021653,0.00031557263,0.0000036582626],"category_scores_gemma":[0.00003208764,0.00034275904,0.000115893105,0.000010274456,0.00016658384,0.00011535744,0.00023517432,0.0005594372,0.000045674275],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008954072,0.000013645727,0.0000042821416,0.000095664494,0.000009248602,0.00043844606,0.0000141691,0.000049182683,0.010336327,0.9863095,0.002157423,0.0004825484],"study_design_scores_gemma":[0.0005115609,0.000049253737,0.000042451768,0.00017774131,0.00006783219,0.00006723541,0.000011508964,0.001972239,0.002691287,0.000006943906,0.9938532,0.0005487415],"about_ca_topic_score_codex":0.000126799,"about_ca_topic_score_gemma":0.000002961354,"teacher_disagreement_score":0.99169576,"about_ca_system_score_codex":0.00023429365,"about_ca_system_score_gemma":0.00004221823,"threshold_uncertainty_score":0.9999024},"labels":[],"label_agreement":null},{"id":"W2306521117","doi":"10.1523/jneurosci.3646-15.2016","title":"Opening Holes in the Blanket of Inhibition: Localized Lateral Disinhibition by VIP Interneurons","year":2016,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":271,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Chronic Disease Prevention and Health Promotion; National Eye Institute; National Institute of Mental Health; Canadian Institutes of Health Research; Defense Advanced Research Projects Agency; National Institutes of Health","keywords":"Inhibitory postsynaptic potential; Vasoactive intestinal peptide; Disinhibition; Optogenetics; Neuroscience; Neocortex; Excitatory postsynaptic potential; Interneuron; Barrel cortex; Biology; Neuropeptide; Sensory system; Receptor","score_opus":0.030903501258803055,"score_gpt":0.27079546758358763,"score_spread":0.23989196632478457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2306521117","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919647,0.000009502625,0.0027618546,0.004397835,0.0005514211,0.000103768965,0.000018133647,0.000006854213,0.00018592055],"genre_scores_gemma":[0.99809295,0.00007046541,0.00001482001,0.0016166111,0.00004632975,0.000001767812,1.9396354e-7,0.000007575016,0.00014927237],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982126,0.0003037589,0.00049962464,0.00023150368,0.0005442935,0.00020823076],"domain_scores_gemma":[0.99895895,0.00034009316,0.0004400227,0.00015537637,0.000049682214,0.00005590576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052112644,0.000111057714,0.0001713439,0.00015596332,0.00008514533,0.00008684383,0.0004240525,0.000029528293,0.000014483938],"category_scores_gemma":[0.0007747855,0.000057273024,0.000088486326,0.00047006705,0.0004014476,0.00074805884,0.000074153264,0.0001937021,0.0000030136428],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067932335,0.00008495859,0.0005431021,0.000004383396,2.1233227e-7,0.00005888887,0.00009302796,0.000022570915,0.9971948,0.00050406536,0.00059782446,0.00082818634],"study_design_scores_gemma":[0.002227542,0.0016313827,0.022452246,0.00047779232,0.00001310604,0.001901095,0.00007895265,0.0019160542,0.9591033,0.003456504,0.0064789983,0.00026306286],"about_ca_topic_score_codex":0.0000037860527,"about_ca_topic_score_gemma":0.0000017583776,"teacher_disagreement_score":0.038091585,"about_ca_system_score_codex":0.000026809756,"about_ca_system_score_gemma":0.00003107779,"threshold_uncertainty_score":0.23355262},"labels":[],"label_agreement":null},{"id":"W2307795561","doi":"10.1016/j.neulet.2016.03.033","title":"Interplay of orientation selectivity and the power of low- and high-gamma bands in the cat primary visual cortex","year":2016,"lang":"en","type":"article","venue":"Neuroscience Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Université de Montréal","funders":"","keywords":"Visual cortex; Neuroscience; Excitatory postsynaptic potential; Stimulus (psychology); Physics; Cerebral cortex; Psychology; Biology; Cognitive psychology; Inhibitory postsynaptic potential","score_opus":0.00635351015199775,"score_gpt":0.23721895818793592,"score_spread":0.23086544803593817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2307795561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929484,0.0000021005749,0.0005549781,0.005922617,0.00031537068,0.00021199138,0.000005844434,0.0000066772186,0.00003202914],"genre_scores_gemma":[0.99208236,0.000027303115,0.000005617089,0.0078476705,0.00001026724,0.0000074279224,1.7781522e-7,0.0000045886113,0.000014593799],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988099,0.00023984112,0.00017911759,0.00032032182,0.000295823,0.00015501132],"domain_scores_gemma":[0.99898267,0.0007007515,0.00013326407,0.00014734545,0.000014546825,0.000021434942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041273588,0.00008800436,0.00012416832,0.000076709344,0.00008747127,0.000033999277,0.00019565622,0.000020135958,0.0000018162431],"category_scores_gemma":[0.00038577238,0.000040946947,0.000023319173,0.00036967118,0.0010476022,0.0002799765,0.00006997372,0.00007994401,3.0098929e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001068622,0.000030212299,0.0073036947,0.000009797552,2.3389293e-7,0.0000034976033,0.00035846335,0.0000040383047,0.9898553,0.0007956284,0.000028610142,0.0015036528],"study_design_scores_gemma":[0.0014597256,0.0003523214,0.7942918,0.00004339289,0.0000064993555,0.000057052865,0.00004505444,0.0018861917,0.20137958,0.000319551,0.000044425244,0.000114416456],"about_ca_topic_score_codex":0.00002928351,"about_ca_topic_score_gemma":0.000008860518,"teacher_disagreement_score":0.78847575,"about_ca_system_score_codex":0.000014899799,"about_ca_system_score_gemma":0.000014860574,"threshold_uncertainty_score":0.38599336},"labels":[],"label_agreement":null},{"id":"W2309124216","doi":"10.1186/1471-2202-16-s1-o4","title":"Large-scale analysis of brain-wide electrophysiological diversity reveals novel characterization of mammalian neuron types","year":2015,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Neuroscience; Electrophysiology; Neuroinformatics; Neuron; Scale (ratio); Cognitive science; Biology; Computer science; Psychology; Cartography; Geography","score_opus":0.05396202489746582,"score_gpt":0.26115207591641804,"score_spread":0.20719005101895221,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2309124216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98703766,0.0000012185425,0.012021509,0.0002135094,0.00033487816,0.00015879034,0.000107086125,0.000035991252,0.000089373585],"genre_scores_gemma":[0.99771553,0.0000067049714,0.00008590746,0.0017641835,0.00001878665,0.0000025077172,0.000010819144,0.0000073488995,0.0003882385],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998132,0.0001749849,0.0003070353,0.0005763874,0.00051255466,0.00029704467],"domain_scores_gemma":[0.9988775,0.0002754356,0.00028604284,0.00033201222,0.00010436507,0.00012462349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030292443,0.00013776639,0.00031157458,0.00025246205,0.00016196619,0.000024624387,0.0004814554,0.000051592775,0.000010511259],"category_scores_gemma":[0.002254299,0.000118401105,0.0001398156,0.0021558318,0.0002259357,0.00028182776,0.0003870099,0.00010824494,0.000003463334],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008618651,0.00016247587,0.021509096,0.000010456151,0.0000016061549,0.000002111482,0.00007097774,0.0011840626,0.9762281,0.00069569156,0.00002190525,0.000027309488],"study_design_scores_gemma":[0.00029518543,0.0005910571,0.74769634,0.0000051874326,0.00007498241,0.0000038511157,0.000013878702,0.07345522,0.1773355,0.00013632263,0.00023388835,0.00015859414],"about_ca_topic_score_codex":0.000016008884,"about_ca_topic_score_gemma":0.00001478552,"teacher_disagreement_score":0.7988926,"about_ca_system_score_codex":0.000022855964,"about_ca_system_score_gemma":0.000044052274,"threshold_uncertainty_score":0.4828257},"labels":[],"label_agreement":null},{"id":"W2310580211","doi":"10.1073/pnas.1523357113","title":"Spatiotemporal dynamics of auditory attention synchronize with speech","year":2016,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":229,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Magnetoencephalography; Lateralization of brain function; Stimulus (psychology); Sensory system; Psychology; Selective auditory attention; Speech recognition; Computer science; Cognitive psychology; Selective attention; Electroencephalography; Communication; Neuroscience; Cognition","score_opus":0.03222880615034781,"score_gpt":0.27094086497643766,"score_spread":0.23871205882608984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2310580211","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936091,0.0000044011713,0.00003718658,0.0040858486,0.000059582937,0.00013759923,0.000026674677,0.000010412657,0.0020292476],"genre_scores_gemma":[0.9987922,0.000014610397,0.00071150373,0.00008617304,0.00006338809,0.0000031537484,5.9911095e-8,0.000003958605,0.0003249513],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982384,0.000008185926,0.00025951763,0.00024124545,0.001137052,0.000115600415],"domain_scores_gemma":[0.99896926,0.0001945565,0.0005974996,0.000009396145,0.00020748716,0.000021804302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056446576,0.00007732609,0.00011574286,0.0001285985,0.000116905845,0.000011177792,0.00049754925,0.000051584975,0.000012994357],"category_scores_gemma":[0.00070226105,0.00003846526,0.00005377492,0.00058441376,0.0010779346,0.00051912275,0.00008229367,0.00007625087,0.0000012425274],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023102286,0.000031720305,0.005895481,0.000035715657,0.0000024894332,6.8049175e-9,0.000009951115,0.000011121,0.8961501,0.096026435,0.00009958759,0.0017142463],"study_design_scores_gemma":[0.000228517,0.00017170134,0.08675768,0.00023028211,0.000008554811,0.000015253103,0.000030118183,0.003982624,0.84526086,0.06318952,0.000037231483,0.000087679364],"about_ca_topic_score_codex":0.0000041769918,"about_ca_topic_score_gemma":2.4159505e-7,"teacher_disagreement_score":0.0808622,"about_ca_system_score_codex":0.000058160946,"about_ca_system_score_gemma":0.000033456643,"threshold_uncertainty_score":0.3971695},"labels":[],"label_agreement":null},{"id":"W2313909349","doi":"10.1016/j.neures.2010.07.2267","title":"Corticofugal control of vibrissa-sensitive neurons in the interpolaris nucleus of the trigeminal complex","year":2010,"lang":"en","type":"article","venue":"Neuroscience Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Spinal trigeminal nucleus; Nucleus; Neuroscience; Chemistry; Biology; Nociception","score_opus":0.10410873831881394,"score_gpt":0.36950855939187943,"score_spread":0.2653998210730655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2313909349","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99480194,0.0000012379411,0.00013866351,0.0025468154,0.0006141711,0.0005891178,0.00006041058,0.000009498439,0.0012381566],"genre_scores_gemma":[0.99892044,0.000007864037,0.000010901511,0.0009097031,0.000035944806,0.000012064734,2.3638846e-7,0.000010308607,0.00009256433],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9961166,0.0011225326,0.0003642029,0.00046887988,0.0014092327,0.00051857455],"domain_scores_gemma":[0.9970786,0.001893793,0.00015573399,0.00063649385,0.00016439646,0.00007098422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017702192,0.000117386655,0.00019200577,0.00021938399,0.0003550186,0.0000865979,0.0014345188,0.000055360484,0.000015993897],"category_scores_gemma":[0.006119953,0.00006741935,0.00010222401,0.0018821353,0.0025948833,0.00016905557,0.00028632,0.001287091,0.0000053655244],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000088659755,0.00015829412,0.0028908513,0.000007677162,2.7005646e-7,0.00001912184,0.00018943135,0.000024909854,0.9893449,0.0060031074,0.00009087259,0.0011819251],"study_design_scores_gemma":[0.0006943094,0.0007524191,0.48810703,0.000023430635,0.000005946228,0.00016814866,0.0002053838,0.0897986,0.4168325,0.0008324696,0.0024519437,0.00012780726],"about_ca_topic_score_codex":0.00017480763,"about_ca_topic_score_gemma":0.000098394165,"teacher_disagreement_score":0.5725124,"about_ca_system_score_codex":0.000017702909,"about_ca_system_score_gemma":0.0001457806,"threshold_uncertainty_score":0.9560956},"labels":[],"label_agreement":null},{"id":"W2315504035","doi":"10.3791/53576","title":"Induction of an Isoelectric Brain State to Investigate the Impact of Endogenous Synaptic Activity on Neuronal Excitability &lt;em&gt;In Vivo&lt;/em&gt;","year":2016,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Nautical Research Society","funders":"Fondation de France; Institut National de la Santé et de la Recherche Médicale; Agence Nationale de la Recherche","keywords":"Neuroscience; Electrophysiology; In vivo; Premovement neuronal activity; Neuron; Intracellular; Biology; Chemistry; Cell biology","score_opus":0.05451978329316477,"score_gpt":0.3679090199596621,"score_spread":0.3133892366664973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2315504035","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99860966,0.000019440016,0.00020114705,0.00021918333,0.0004066123,0.00044739357,0.000034885594,0.000013253948,0.000048396854],"genre_scores_gemma":[0.99955076,0.000031155207,0.000051879084,0.00021515861,0.00006613183,0.00001071027,3.8315014e-7,0.000030070187,0.000043757085],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99642223,0.0010941882,0.00084050593,0.000390131,0.0008414727,0.00041145278],"domain_scores_gemma":[0.99762136,0.00060562964,0.0009905467,0.00037897486,0.00015743377,0.0002460689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010869494,0.00027752493,0.00052565295,0.0004540689,0.0001018873,0.000044289598,0.00041860537,0.000078664714,0.000076335535],"category_scores_gemma":[0.0014215086,0.00016059888,0.00025580055,0.00070837495,0.00014319803,0.00058125576,0.000076412885,0.00026296926,0.000004385922],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002299583,0.000996762,0.00020142591,0.000011122837,0.000034919936,0.00002180621,0.00095116365,0.00037062643,0.9900299,0.000060279777,0.000059264552,0.004963177],"study_design_scores_gemma":[0.0018923079,0.006016167,0.018637821,0.00007704025,0.000012516535,0.0001136644,0.000036827474,0.0010764729,0.9711881,0.0007571414,0.00002446635,0.00016746215],"about_ca_topic_score_codex":0.000059309048,"about_ca_topic_score_gemma":0.000014830152,"teacher_disagreement_score":0.018841757,"about_ca_system_score_codex":0.0003587661,"about_ca_system_score_gemma":0.00019587412,"threshold_uncertainty_score":0.65490323},"labels":[],"label_agreement":null},{"id":"W2315728481","doi":"10.1109/embc.2014.6944613","title":"Gamma (30&amp;#x2013;80Hz) bicoherence distinguishes seizures in the human epileptic brain","year":2014,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Bicoherence; Epilepsy; Electroencephalography; Human brain; Ictal; Frequency band; Audiology; Epileptic seizure; Neuroscience; Psychology; Computer science; Medicine; Spectral density; Bispectrum; Telecommunications","score_opus":0.04856475806459048,"score_gpt":0.28898753776879976,"score_spread":0.24042277970420928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2315728481","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94327277,0.00000403395,0.0012539434,0.0034468046,0.00024479817,0.00026518962,0.0000034144657,0.00010828083,0.051400784],"genre_scores_gemma":[0.9885048,0.0000024828585,0.00008273868,0.0060404693,0.00014815238,0.000028136497,0.0000041953917,0.00001532807,0.0051736613],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982971,0.00036587226,0.0002505864,0.00044313076,0.00030656834,0.00033672666],"domain_scores_gemma":[0.9983002,0.0011127006,0.000083138584,0.00043048649,0.00002079994,0.00005268073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057324924,0.0001667389,0.00014623487,0.00007539527,0.0002670014,0.00018174872,0.00049869553,0.000055717024,0.00039002034],"category_scores_gemma":[0.0019845343,0.00010435727,0.00005888716,0.00030824912,0.00014634684,0.0001167802,0.0000794767,0.00024198765,0.00026560307],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017536799,0.00027166627,0.007827747,0.000051521536,0.0000030912045,0.000026486989,0.00071096804,0.00025651563,0.7642924,0.19651495,0.016343826,0.013683245],"study_design_scores_gemma":[0.00238084,0.0012447803,0.27894023,0.00020983376,0.00003670913,0.00030521094,0.00047860414,0.03267789,0.024714526,0.13953228,0.51735127,0.002127829],"about_ca_topic_score_codex":0.0002144756,"about_ca_topic_score_gemma":0.0005927856,"teacher_disagreement_score":0.7395779,"about_ca_system_score_codex":0.000019986408,"about_ca_system_score_gemma":0.000011059597,"threshold_uncertainty_score":0.42704493},"labels":[],"label_agreement":null},{"id":"W2315915688","doi":"10.1103/physreve.89.012709","title":"Maximum likelihood estimators for truncated and censored power-law distributions show how neuronal avalanches may be misevaluated","year":2014,"lang":"en","type":"article","venue":"Physical Review E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Estimator; Power law; Statistical physics; Range (aeronautics); Bounded function; Distribution (mathematics); Law; Power (physics); Probability distribution; Computer science; Econometrics; Physics; Mathematics; Statistics; Mathematical analysis; Quantum mechanics; Engineering","score_opus":0.03306588302069971,"score_gpt":0.3019544338610706,"score_spread":0.2688885508403709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2315915688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9289557,0.0011175405,0.0075067454,0.055190634,0.0008553387,0.003124002,0.0010750663,0.00045640828,0.0017186188],"genre_scores_gemma":[0.9954562,0.00040924022,0.00015392827,0.0036220741,0.000087523884,0.00010192958,0.00008305506,0.00002734864,0.00005868144],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99842364,0.00018944721,0.00020042305,0.0005429686,0.0002771149,0.00036638282],"domain_scores_gemma":[0.99875814,0.0005784012,0.000124721,0.00027553918,0.00007712599,0.00018608959],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002073315,0.0002352335,0.00040936013,0.000021245032,0.00022976368,0.000092030794,0.00015651304,0.000034074666,0.000016274238],"category_scores_gemma":[0.0016510744,0.00018331475,0.00018047672,0.00023839332,0.00017634814,0.00015529183,0.00006273398,0.00016140495,0.000017896258],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011422585,0.0006542507,0.00017647457,0.0017410698,0.00003023332,0.0000054899688,0.000041171978,0.000008367758,0.707195,0.22491917,0.011907286,0.053207256],"study_design_scores_gemma":[0.004226233,0.0028780703,0.015891617,0.0018845156,0.0009544479,0.00009895792,0.000011121045,0.20942426,0.1483089,0.22642463,0.38753754,0.0023596915],"about_ca_topic_score_codex":0.0000031377604,"about_ca_topic_score_gemma":0.0000016053149,"teacher_disagreement_score":0.5588861,"about_ca_system_score_codex":0.000024130464,"about_ca_system_score_gemma":0.000020456486,"threshold_uncertainty_score":0.7475359},"labels":[],"label_agreement":null},{"id":"W2316097698","doi":"10.3389/fncom.2016.00029","title":"Statistical Evaluation of Waveform Collapse Reveals Scale-Free Properties of Neuronal Avalanches","year":2016,"lang":"en","type":"article","venue":"Frontiers in Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Ottawa","keywords":"Statistical physics; Power law; Physics; Mathematics; Statistics","score_opus":0.04995736473168048,"score_gpt":0.2696762551242278,"score_spread":0.21971889039254736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2316097698","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9562733,0.00001958648,0.040985856,0.0007246076,0.0012461095,0.00039331825,0.0001584569,0.00001951949,0.00017923718],"genre_scores_gemma":[0.99639076,0.000014653818,0.0032090142,0.00024743623,0.000022390514,0.00001948195,0.0000019169513,0.000011051324,0.00008331978],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997007,0.00031239874,0.000517949,0.0005018963,0.0014138827,0.00024686026],"domain_scores_gemma":[0.9988868,0.00030855995,0.00026041604,0.00024182304,0.00023473748,0.000067659756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007611359,0.00013843509,0.000239637,0.00025216222,0.00008127116,0.00002069291,0.00045578135,0.000039524894,0.000011848441],"category_scores_gemma":[0.0032084803,0.00009766963,0.000047470206,0.0005724902,0.000765102,0.00034797078,0.00012917932,0.000084075364,0.00000195018],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016594226,0.00019799825,0.022315132,0.00005303137,0.0000013079572,0.0000031859931,0.00007113684,0.015822295,0.9457415,0.0044783605,0.0009989277,0.010151237],"study_design_scores_gemma":[0.0018352795,0.0003779705,0.2606318,0.00017798346,0.000018569048,0.000024791232,0.000028971679,0.54164404,0.11370307,0.08123113,0.000067532616,0.00025884947],"about_ca_topic_score_codex":0.00000573638,"about_ca_topic_score_gemma":0.0000030213318,"teacher_disagreement_score":0.8320384,"about_ca_system_score_codex":0.00008578145,"about_ca_system_score_gemma":0.00021175541,"threshold_uncertainty_score":0.39828518},"labels":[],"label_agreement":null},{"id":"W2316653764","doi":"10.1152/jn.00546.2010","title":"The Pedunculopontine Tegmental Nucleus: A Second Cholinergic Source for Frequency-Specific Auditory Plasticity","year":2010,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Pedunculopontine Tegmental Nucleus; Medial geniculate body; Cholinergic; Stimulation; Pedunculopontine nucleus; Midbrain; Neuroplasticity; Auditory cortex; Receptive field; Psychology; Inferior colliculus; Nucleus; Deep brain stimulation; Central nervous system; Medicine; Internal medicine","score_opus":0.015648793876653175,"score_gpt":0.23851633964611352,"score_spread":0.22286754576946033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2316653764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914616,0.0000067482815,0.0002873271,0.00072365365,0.0071804184,0.00014156039,0.00002029558,0.000017360848,0.00016108484],"genre_scores_gemma":[0.995571,0.000065818,0.00019412802,0.0010083418,0.0025449425,0.0000055793457,8.855063e-7,0.000027814885,0.0005814929],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986904,0.00011936337,0.00044376586,0.00025314835,0.00019019675,0.0003030722],"domain_scores_gemma":[0.99793917,0.0011198398,0.0004836523,0.000177603,0.00015476561,0.0001249566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009171178,0.00015957399,0.00023031297,0.00007581719,0.0004085596,0.00006367982,0.0004553703,0.00007752228,0.0000997434],"category_scores_gemma":[0.0010852774,0.000099451085,0.00018143852,0.0001430696,0.00028155433,0.00015062615,0.000065423534,0.00072341954,0.000019129619],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002560048,0.00007417815,0.0000051221123,0.0000058622963,0.0000051229167,0.000026130721,0.000018417124,0.0002153122,0.9950355,0.0009969808,0.0022690303,0.0010923027],"study_design_scores_gemma":[0.004231677,0.005966343,0.03321549,0.000026484586,0.00006415015,0.0029757342,0.00008957921,0.015254826,0.14401849,0.010300644,0.7831507,0.00070593454],"about_ca_topic_score_codex":7.8702266e-7,"about_ca_topic_score_gemma":0.000004198257,"teacher_disagreement_score":0.85101706,"about_ca_system_score_codex":0.000019345738,"about_ca_system_score_gemma":0.00006515093,"threshold_uncertainty_score":0.40554976},"labels":[],"label_agreement":null},{"id":"W2317248708","doi":"10.1103/physreve.85.021914","title":"Neural population densities shape network correlations","year":2012,"lang":"en","type":"article","venue":"Physical Review E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Excitatory postsynaptic potential; Statistical physics; Population; Asymmetry; Stimulus (psychology); Correlation; Inhibitory postsynaptic potential; Asynchronous communication; Sensory system; Mathematics; Physics; Biological system; Computer science; Neuroscience; Biology; Quantum mechanics","score_opus":0.04798530560419655,"score_gpt":0.3116769900653169,"score_spread":0.26369168446112035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2317248708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932013,0.002574563,0.00007935391,0.0009938318,0.00091725297,0.00030640658,0.0000044589665,0.00009801898,0.0018248077],"genre_scores_gemma":[0.9942821,0.0007934567,0.000014849044,0.0038762025,0.0008569411,0.000010097117,0.000013793314,0.00001098996,0.00014152785],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991897,0.00010856343,0.00014396747,0.00014705813,0.00016916603,0.00024159404],"domain_scores_gemma":[0.9994651,0.00022600514,0.00007610994,0.00013967794,0.000015022522,0.000078048986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000092296825,0.000094751784,0.00016802404,0.000011766192,0.00014115204,0.000018768931,0.000060531027,0.000013333641,0.00006067992],"category_scores_gemma":[0.00028902004,0.00007490887,0.00010158133,0.00024220983,0.00002510498,0.0003135733,0.000036782138,0.000120129596,0.00023390367],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035383084,0.0006715678,0.029457904,0.0010556426,0.000015369413,0.0000068549166,0.00020418737,0.0036595159,0.08518138,0.65763336,0.022018451,0.2000604],"study_design_scores_gemma":[0.00021494851,0.00012305482,0.15911977,0.00075164577,0.0001643482,0.000052239247,0.0000048711954,0.79497373,0.00063008943,0.018791232,0.024551326,0.0006227539],"about_ca_topic_score_codex":0.0000053283134,"about_ca_topic_score_gemma":7.485958e-7,"teacher_disagreement_score":0.7913142,"about_ca_system_score_codex":0.000018582314,"about_ca_system_score_gemma":0.0000031724442,"threshold_uncertainty_score":0.3054695},"labels":[],"label_agreement":null},{"id":"W2318617419","doi":"10.2514/6.2011-6245","title":"Difference Threshold: Measurement and Modeling","year":2011,"lang":"en","type":"article","venue":"AIAA Modeling and Simulation Technologies Conference","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science","score_opus":0.22963305940606482,"score_gpt":0.28072480953491513,"score_spread":0.05109175012885031,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2318617419","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68669695,0.00009498507,0.31201035,0.00014236858,0.000058707,0.00013251218,0.0000017845998,0.00044317232,0.00041919216],"genre_scores_gemma":[0.9987142,0.00041247395,0.00073377823,0.000083517865,0.000006498367,0.000014767771,7.5918956e-7,0.00001103809,0.000022947068],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987606,0.000023389317,0.00023534287,0.0005043424,0.000249933,0.00022638736],"domain_scores_gemma":[0.9994805,0.00004435271,0.000060884908,0.00024863705,0.00012635716,0.00003928159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016493865,0.00017500539,0.00016187968,0.00012760288,0.00024830445,0.000084747204,0.00016870239,0.00013172554,0.000005198243],"category_scores_gemma":[0.0003781713,0.00014814544,0.00002232204,0.00012592094,0.00011429598,0.00020408918,0.00016979894,0.00020727927,0.0000024648862],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000114612325,0.000090240355,0.0013322865,0.000063591666,0.000011490897,0.00000802926,0.00094027235,0.57457006,0.13037144,0.086233005,0.0000014202705,0.20626353],"study_design_scores_gemma":[0.0001699138,0.00006898126,0.000048410515,0.000038901562,0.0000079957945,0.00000358357,0.00021199384,0.9176049,0.004336306,0.07733429,0.0000031082889,0.00017159499],"about_ca_topic_score_codex":0.000033989156,"about_ca_topic_score_gemma":0.000008292425,"teacher_disagreement_score":0.34303483,"about_ca_system_score_codex":0.000019454186,"about_ca_system_score_gemma":0.000019025096,"threshold_uncertainty_score":0.6041196},"labels":[],"label_agreement":null},{"id":"W2318932485","doi":"10.1017/s0317167100002572","title":"CANADIAN ASSOCIATION OF NEUROSCIENCE REVIEW: Development and Plasticity of the Auditory Cortex","year":2003,"lang":"en","type":"review","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Institute of Neurosciences, Mental Health and Addiction; Fondation pour la Recherche Médicale","keywords":"Neuroscience; Auditory cortex; Forebrain; Cerebral cortex; Basal forebrain; Neuroplasticity; Cortex (anatomy); Biology; Psychology; Developmental plasticity; Cholinergic; Plasticity; Central nervous system","score_opus":0.05106175293659459,"score_gpt":0.2799217516682567,"score_spread":0.22885999873166213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2318932485","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31506717,0.6748173,0.00000650663,0.001754422,0.0055819848,0.0009058414,0.000117451265,0.000012578693,0.0017367151],"genre_scores_gemma":[0.0762246,0.9193888,0.00017794833,0.0038921037,0.00014581303,0.0000060149155,3.0137218e-7,0.000022997812,0.0001414677],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.992027,0.0025601762,0.0019681612,0.0007701919,0.0013667432,0.001307755],"domain_scores_gemma":[0.9920712,0.0015625011,0.004087966,0.00021041914,0.0004642827,0.0016036225],"candidate_categories":["metaresearch","metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.005101124,0.0005252909,0.0015317465,0.0011312014,0.0024849183,0.00029547207,0.0030269325,0.0003088335,0.000042293148],"category_scores_gemma":[0.011774503,0.000307631,0.0004975956,0.0026872244,0.0051757363,0.0005815853,0.00013000306,0.0017774806,0.0000014213226],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012895194,0.00047331204,0.2261641,0.015056842,0.0002025752,0.011274693,0.0012027789,0.00181365,0.00094445614,0.008902338,0.026003685,0.70783263],"study_design_scores_gemma":[0.00024061503,0.0149565535,0.013531626,0.0052242056,0.00042065265,0.021854322,0.00003390785,0.00022856843,0.00009812694,0.0016572478,0.94088405,0.0008701282],"about_ca_topic_score_codex":0.002956067,"about_ca_topic_score_gemma":0.17880064,"teacher_disagreement_score":0.91488034,"about_ca_system_score_codex":0.0007743337,"about_ca_system_score_gemma":0.017404003,"threshold_uncertainty_score":0.9999376},"labels":[],"label_agreement":null},{"id":"W2320382970","doi":"10.1152/jn.00682.2014","title":"Dissociable influences of primary auditory cortex and the posterior auditory field on neuronal responses in the dorsal zone of auditory cortex","year":2014,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Auditory cortex; Neuroscience; Receptive field; Stimulus (psychology); Tonotopy; Psychology; Dorsum; Functional organization; Population; Biology; Anatomy; Medicine; Cognitive psychology","score_opus":0.013251232852583126,"score_gpt":0.2436559459789073,"score_spread":0.23040471312632418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2320382970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99505043,0.000020168427,0.000006908592,0.0015430205,0.003055831,0.00013850158,0.0000084315825,0.000004622407,0.00017209213],"genre_scores_gemma":[0.9951464,0.00012940199,0.000006362105,0.0038228403,0.0007613527,0.0000031534926,3.8968238e-7,0.000011752221,0.00011836165],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99706143,0.0014919966,0.00062185974,0.00022776081,0.00039917915,0.00019774881],"domain_scores_gemma":[0.99298257,0.00570781,0.0009340176,0.00025162863,0.000088028166,0.000035960435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040013166,0.0001579745,0.00046854763,0.00014374603,0.000111913454,0.00001757682,0.0004850624,0.00008073504,0.000013289029],"category_scores_gemma":[0.0016385581,0.00008750856,0.00013997983,0.00017648784,0.000716907,0.00013897967,0.000100441626,0.00057242304,0.0000021528729],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031935468,0.00012392306,0.00016613392,0.00003198756,0.000008040648,0.000030673822,0.00016017458,0.00024801915,0.99367636,0.00023115888,0.0006057541,0.001524204],"study_design_scores_gemma":[0.0014438302,0.0047436976,0.98605454,0.000060614704,0.000034411172,0.00014490171,0.00006576842,0.00065178174,0.0037067744,0.0010234615,0.0019558736,0.00011433039],"about_ca_topic_score_codex":0.00001670971,"about_ca_topic_score_gemma":0.000002289273,"teacher_disagreement_score":0.9899696,"about_ca_system_score_codex":0.000017175658,"about_ca_system_score_gemma":0.00009225081,"threshold_uncertainty_score":0.35684958},"labels":[],"label_agreement":null},{"id":"W2320402719","doi":"10.1088/1742-6596/699/1/012012","title":"Graph structure modeling for multi-neuronal spike data","year":2016,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Japan Society for the Promotion of Science","keywords":"Spike (software development); Computer science; Scalability; Algorithm; Synthetic data; Graph; Spike train; Inversion (geology); Pattern recognition (psychology); Correlation; Artificial intelligence; Data mining; Theoretical computer science; Mathematics; Biology","score_opus":0.15575158940367528,"score_gpt":0.31149926559482516,"score_spread":0.15574767619114988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2320402719","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39042673,0.000007982134,0.6070156,0.0011006299,0.0009095474,0.00011343309,0.0003873296,0.000015219888,0.000023563718],"genre_scores_gemma":[0.9956427,0.000080140744,0.0035628614,0.00019248208,0.00035250682,0.0000010601409,0.000004846308,0.000015398327,0.00014799852],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99898225,0.000040097886,0.00029085804,0.00024339334,0.00025434795,0.00018905273],"domain_scores_gemma":[0.99900514,0.00011004648,0.00029128787,0.0002830376,0.00024121594,0.00006926591],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000106160216,0.00013541993,0.0001960035,0.000046022626,0.000120814315,0.00009064972,0.0005540343,0.00003838266,0.000018837392],"category_scores_gemma":[0.000328149,0.000082526545,0.00008092142,0.00009471061,0.00009660563,0.0013950345,0.0001135893,0.0001418168,0.0000016502285],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013819376,0.000034013505,0.000044896737,0.000015115877,0.000007832856,0.0000038899657,0.000041234944,0.00032252914,0.9222141,0.030395953,0.00008851097,0.04669376],"study_design_scores_gemma":[0.0014698859,0.00059155724,0.00018943769,0.00013447674,0.00004766658,0.00010737677,0.00007164767,0.08616042,0.75192237,0.15779951,0.0011770775,0.00032860265],"about_ca_topic_score_codex":0.0000013731081,"about_ca_topic_score_gemma":0.000007614131,"teacher_disagreement_score":0.60521597,"about_ca_system_score_codex":0.000013305838,"about_ca_system_score_gemma":0.00010983363,"threshold_uncertainty_score":0.3365335},"labels":[],"label_agreement":null},{"id":"W2320651841","doi":"10.1152/jn.00523.2014","title":"Assessment of nonlinear interactions in event-related potentials elicited by stimuli presented at short interstimulus intervals using single-trial data","year":2015,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Wellcome Trust","keywords":"Interstimulus interval; Stimulus (psychology); Psychology; Event-related potential; Perception; Audiology; Cognition; Speech recognition; Communication; Neuroscience; Cognitive psychology; Computer science","score_opus":0.1682018260030943,"score_gpt":0.3999662149718778,"score_spread":0.23176438896878349,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2320651841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99490416,0.000010011818,0.0012038995,0.00031786543,0.0031498894,0.00027519607,0.00008286955,0.000012157465,0.0000439453],"genre_scores_gemma":[0.99917126,0.000023969009,0.0002879083,0.0002050876,0.0001641681,0.000001157244,0.00003601923,0.000026231533,0.00008421234],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996937,0.00077387196,0.001268237,0.00039964193,0.00036483255,0.0002564435],"domain_scores_gemma":[0.9979764,0.00044369997,0.00081913354,0.00040598147,0.0002171605,0.00013757468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023440496,0.00019308948,0.00054415985,0.00035828265,0.000050234226,0.000029793655,0.00065531116,0.00007152779,0.000031133397],"category_scores_gemma":[0.001413273,0.00016252162,0.00014030455,0.0004301649,0.00014038131,0.0004903084,0.00062462786,0.00052307185,0.0000035062822],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0036206294,0.0007614724,0.000081721955,0.000008858483,0.000028606773,0.0001066086,0.00002777796,0.024432981,0.9701972,0.0000048160387,0.0003298681,0.00039943264],"study_design_scores_gemma":[0.009797893,0.0039285156,0.0014423726,0.00012686942,0.00008953982,0.0004475976,0.00004802125,0.9473296,0.0357723,0.00010885005,0.000696015,0.00021245918],"about_ca_topic_score_codex":0.000037812824,"about_ca_topic_score_gemma":0.000007038073,"teacher_disagreement_score":0.93442494,"about_ca_system_score_codex":0.00018594261,"about_ca_system_score_gemma":0.00010244172,"threshold_uncertainty_score":0.662744},"labels":[],"label_agreement":null},{"id":"W2321124279","doi":"10.1152/jn.00240.2010","title":"Linear Versus Nonlinear Signal Transmission in Neuron Models With Adaptation Currents or Dynamic Thresholds","year":2010,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":115,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Adaptation (eye); Afterhyperpolarization; Biological system; Conductance; Physics; SIGNAL (programming language); Current (fluid); Neuroscience; Control theory (sociology); Electrophysiology; Computer science; Optics; Biology; Artificial intelligence","score_opus":0.04818186514242828,"score_gpt":0.2911329815005102,"score_spread":0.24295111635808192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2321124279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956806,0.0000035656396,0.0024173446,0.0003264457,0.0013726015,0.00012896188,0.000005476055,0.00001551691,0.000049505998],"genre_scores_gemma":[0.99821126,0.00014096436,0.0011487639,0.00026055833,0.00016274497,0.0000019326276,0.0000024937501,0.000028950817,0.00004230478],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985582,0.00015707246,0.0004289313,0.0003036688,0.0002961711,0.0002559599],"domain_scores_gemma":[0.9990522,0.00029618965,0.0003024772,0.00015147302,0.00008892832,0.00010869034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005645205,0.00018220562,0.00027447226,0.00022994219,0.000075656884,0.000020929043,0.00027878946,0.00009383604,0.000036918937],"category_scores_gemma":[0.00010090982,0.00011792,0.00008451233,0.0003294073,0.00010319297,0.00040745447,0.000029635432,0.0009437076,0.000006518206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0052508526,0.00019137474,0.000006723162,0.000010649429,0.0000029112427,0.00026905056,0.00005139033,0.105154485,0.87815773,0.0000714066,0.0000032171056,0.01083023],"study_design_scores_gemma":[0.002634488,0.004790916,0.0015598253,0.0000295967,0.000019126703,0.00034203092,0.0000126754585,0.98463076,0.0048952545,0.00046964525,0.00045970187,0.00015595045],"about_ca_topic_score_codex":0.000004561485,"about_ca_topic_score_gemma":0.000015541422,"teacher_disagreement_score":0.8794763,"about_ca_system_score_codex":0.000019156296,"about_ca_system_score_gemma":0.00010745848,"threshold_uncertainty_score":0.4808638},"labels":[],"label_agreement":null},{"id":"W2321967131","doi":"10.1139/z11-124","title":"A new inhibitory pathway in the jellyfish<i>Polyorchis penicillatus</i>","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Zoology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Vancouver Island University; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inhibitory postsynaptic potential; Biology; Excitatory postsynaptic potential; Anatomy; Postsynaptic potential; Stimulus (psychology); Neuroscience; Aplysia; Electrophysiology; Jellyfish; Resting potential; Membrane potential; Biophysics; Receptor; Ecology","score_opus":0.022652109691400982,"score_gpt":0.2185909355991327,"score_spread":0.1959388259077317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2321967131","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98874754,0.00037639408,0.000050932602,0.0036756922,0.0023606583,0.00007295821,0.0000047610783,0.0000027314118,0.0047083576],"genre_scores_gemma":[0.99325705,0.00001283914,0.000034355802,0.0056349076,0.00063075585,6.629213e-7,3.333205e-7,0.000008539574,0.0004205321],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99889976,0.00022716523,0.000250962,0.00009046047,0.000119336015,0.00041228923],"domain_scores_gemma":[0.99908924,0.00022691517,0.00013715713,0.00012746613,0.000020802398,0.0003984459],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041586923,0.00008484948,0.00013594242,0.00022848274,0.000092511065,0.000029701187,0.0002925528,0.000069736394,0.00014017873],"category_scores_gemma":[0.00038339334,0.000059146507,0.00007142526,0.00023412237,0.00008422602,0.00018939927,0.000009858942,0.00039847483,0.00003461663],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002049836,0.00015043323,0.26699218,0.00002939349,0.00002737755,0.0029819156,0.012641186,0.00020545948,0.38382664,0.077575,0.16176663,0.093598805],"study_design_scores_gemma":[0.0022945812,0.0011874682,0.28242573,0.000075461096,0.000038282233,0.013946276,0.00091137993,0.00015371571,0.02254406,0.008140579,0.66760904,0.0006734426],"about_ca_topic_score_codex":0.0022084403,"about_ca_topic_score_gemma":0.029872034,"teacher_disagreement_score":0.5058424,"about_ca_system_score_codex":0.00008600045,"about_ca_system_score_gemma":0.000646818,"threshold_uncertainty_score":0.9878303},"labels":[],"label_agreement":null},{"id":"W2322203494","doi":"10.1097/wnr.0b013e3283507550","title":"Diffusion modeling of interference in vibrotactile working memory","year":2012,"lang":"en","type":"article","venue":"Neuroreport","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Sensory system; Working memory; Encoding (memory); Interference (communication); Sensory memory; Interference theory; Cognitive psychology; Psychology; Information processing; Neuroscience; Computer science; Cognition; Telecommunications; Channel (broadcasting)","score_opus":0.06697829352728281,"score_gpt":0.2716146460604011,"score_spread":0.2046363525331183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2322203494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98526174,0.000010815565,0.0007137702,0.00004581916,0.00089156907,0.00012359605,6.6378107e-7,0.00003832045,0.012913679],"genre_scores_gemma":[0.9994268,0.00001652472,0.000044269505,0.00022184574,0.00007172959,0.00000781956,9.060408e-7,0.000014616107,0.00019548387],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892575,0.000054145712,0.000337894,0.00024690572,0.00019181652,0.00024351057],"domain_scores_gemma":[0.99947226,0.00008333365,0.00014493742,0.00022679473,0.0000137730085,0.00005890369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016319568,0.000099079276,0.00013941037,0.00011654104,0.000038982053,0.000013010899,0.00012052627,0.000040174025,0.00003538558],"category_scores_gemma":[0.00031274135,0.00008856115,0.000046775247,0.00024806868,0.00002713955,0.00024647338,0.00010739373,0.00018940208,0.0000073234896],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037213184,0.0001448682,0.036033545,0.000013471952,5.2915476e-7,0.00003267572,0.00016486652,0.001298519,0.95734715,0.0003004097,0.0000179117,0.004608808],"study_design_scores_gemma":[0.0005411348,0.00017441034,0.034011725,0.00016910973,0.000012049577,0.0003511527,0.000093834446,0.5757152,0.38710138,0.0008588498,0.0005516799,0.00041948125],"about_ca_topic_score_codex":0.000039270333,"about_ca_topic_score_gemma":0.000005641957,"teacher_disagreement_score":0.5744167,"about_ca_system_score_codex":0.000020091333,"about_ca_system_score_gemma":0.000015346646,"threshold_uncertainty_score":0.3611419},"labels":[],"label_agreement":null},{"id":"W2322226464","doi":"10.1109/embc.2014.6943899","title":"Toward on-chip functional neuronal networks: Computational study on the effect of synaptic connectivity on neural activity","year":2014,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; Neuroscience; Spike (software development); Artificial neural network; Premovement neuronal activity; Population; Biological neural network; Neurophysiology; Computational neuroscience; Spiking neural network; Artificial intelligence; Machine learning; Biology","score_opus":0.03969829825818464,"score_gpt":0.2570866149352955,"score_spread":0.21738831667711087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2322226464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915592,3.0243822e-7,0.00331949,0.0015805993,0.00089351065,0.0007055582,0.000008925254,0.00008551381,0.0018469101],"genre_scores_gemma":[0.9975898,2.165739e-7,0.0000018015113,0.0020893156,0.0001764975,0.000040388804,0.0000031349962,0.000020472335,0.00007835572],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99683297,0.001404376,0.00020025548,0.0005997542,0.00070007646,0.00026257194],"domain_scores_gemma":[0.98830634,0.011136397,0.00014824243,0.00030588874,0.00003256087,0.00007056485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065260916,0.00026724275,0.00027072427,0.00009252426,0.00030536662,0.00005913843,0.00021234655,0.00005302316,0.00008899043],"category_scores_gemma":[0.0010752105,0.0001588329,0.00014592407,0.0002576467,0.00013682907,0.00009839179,0.00007084548,0.00047788912,0.00005213043],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035604336,0.0013429411,0.0082640285,0.000017224907,0.000046082285,0.000009812603,0.00003396542,0.92840296,0.01430039,0.036194813,0.00063714397,0.007190177],"study_design_scores_gemma":[0.0009473831,0.010511154,0.2955287,0.000009626927,0.000017309829,0.000008689272,0.0000066278126,0.68742806,0.004928232,0.0004446173,0.0000147748815,0.00015482744],"about_ca_topic_score_codex":0.000013374224,"about_ca_topic_score_gemma":0.0000049283603,"teacher_disagreement_score":0.28726467,"about_ca_system_score_codex":0.000043244516,"about_ca_system_score_gemma":0.000013887313,"threshold_uncertainty_score":0.6477018},"labels":[],"label_agreement":null},{"id":"W2322280599","doi":"10.1097/wnp.0b013e3182121843","title":"Realignment of Magnetoencephalographic Data for Group Analysis in the Sensor Domain","year":2011,"lang":"en","type":"article","venue":"Journal of Clinical Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"","keywords":"Magnetoencephalography; Computer science; Smoothing; Sensor array; Artificial intelligence; Pattern recognition (psychology); Algorithm; Computer vision; Electroencephalography; Machine learning","score_opus":0.19816863626326198,"score_gpt":0.38131347284647094,"score_spread":0.18314483658320896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2322280599","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99773234,0.000008120115,0.00087809755,0.00046735842,0.00059958437,0.00016091984,0.000041738596,0.000002913041,0.00010891525],"genre_scores_gemma":[0.99657446,0.0003003389,0.0011876067,0.001746617,0.00016943195,0.000002235882,0.0000048855504,0.0000070600045,0.000007381482],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9967807,0.0011692888,0.0013225585,0.0003237036,0.0002217251,0.00018203574],"domain_scores_gemma":[0.99549097,0.002833759,0.00095818326,0.00060331996,0.000059105674,0.000054691987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014751524,0.00010098786,0.00056727557,0.00021365841,0.00003828259,0.000007200101,0.0010016033,0.000075721175,0.000019918618],"category_scores_gemma":[0.0017762141,0.000058366815,0.00039422105,0.00064189755,0.00028960485,0.00011567721,0.00011569152,0.00034204984,0.000001171709],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0065158834,0.003758981,0.02748029,0.00006856434,0.0003005248,0.0005429212,0.00030755025,0.0005491569,0.9319781,0.015579919,0.0009413707,0.01197672],"study_design_scores_gemma":[0.0017048701,0.007950826,0.955629,0.000013631803,0.00041261283,0.000079258556,0.000102737475,0.0044244723,0.00043427863,0.02704236,0.002050238,0.00015571562],"about_ca_topic_score_codex":0.000013064714,"about_ca_topic_score_gemma":0.000012274701,"teacher_disagreement_score":0.9315438,"about_ca_system_score_codex":0.0000029962405,"about_ca_system_score_gemma":0.000021364089,"threshold_uncertainty_score":0.23801297},"labels":[],"label_agreement":null},{"id":"W2322891951","doi":"10.1103/physreve.91.042717","title":"Coding stimulus amplitude by correlated neural activity","year":2015,"lang":"en","type":"article","venue":"Physical Review E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Stimulus (psychology); Neural coding; Amplitude; Coding (social sciences); ENCODE; Neuron; Correlation; Statistical physics; Computer science; Mathematics; Biological system; Algorithm; Neuroscience; Physics; Artificial intelligence; Statistics; Psychology; Biology; Quantum mechanics","score_opus":0.06896834684839769,"score_gpt":0.3357114696040507,"score_spread":0.266743122755653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2322891951","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918128,0.0011246287,0.0011464818,0.0022033053,0.0005982719,0.00047627237,0.000023672521,0.00016818632,0.0024463362],"genre_scores_gemma":[0.99601763,0.00076653005,0.0000050936346,0.0027912657,0.00007765537,0.000016253402,0.0000049349605,0.000013589498,0.00030701724],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988797,0.0001512447,0.00012952473,0.0003299929,0.0002866997,0.00022283787],"domain_scores_gemma":[0.99928755,0.00021303512,0.00008932429,0.00020468247,0.000032444477,0.00017298467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001252276,0.00013620217,0.00026804733,0.000012725849,0.00006588577,0.000051544313,0.0001419698,0.000018065013,0.000011677137],"category_scores_gemma":[0.00090720603,0.000105223684,0.000097392316,0.00028024343,0.000052332478,0.00029778315,0.00007466665,0.00022517244,0.00018519514],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045919398,0.00038825098,0.000085877124,0.00024993776,0.000004758122,0.000016478105,0.0000278225,0.00007558383,0.9146941,0.004895663,0.018088534,0.06142712],"study_design_scores_gemma":[0.0022096182,0.0012566537,0.0020136845,0.0014763958,0.00024387054,0.00009140094,0.0000075720654,0.741724,0.11532398,0.011462632,0.12252927,0.0016608948],"about_ca_topic_score_codex":0.000013447477,"about_ca_topic_score_gemma":4.2149873e-7,"teacher_disagreement_score":0.79937005,"about_ca_system_score_codex":0.000045828903,"about_ca_system_score_gemma":0.000016056609,"threshold_uncertainty_score":0.42908973},"labels":[],"label_agreement":null},{"id":"W2323417727","doi":"10.1213/ane.0000000000001166","title":"Attenuation of High-Frequency (50–200 Hz) Thalamocortical Electroencephalographic Rhythms by Isoflurane in Rats Is More Pronounced for the Thalamus Than for the Cortex","year":2016,"lang":"en","type":"article","venue":"Anesthesia & Analgesia","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Natural Sciences and Engineering Research Council of Canada","funders":"McGill University Health Centre","keywords":"Isoflurane; Thalamus; Unconsciousness; Anesthesia; Medicine; Cortex (anatomy); Anesthetic; Propofol; Attenuation; Local field potential; Neuroscience; Physics; Biology","score_opus":0.015979849809415806,"score_gpt":0.2490351907305633,"score_spread":0.2330553409211475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2323417727","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95741636,0.00024389729,0.007896564,0.032087483,0.00010242888,0.0021626353,0.000033743116,0.000043748532,0.000013141866],"genre_scores_gemma":[0.9968942,0.0004630452,0.0000918632,0.0014801511,0.0000903495,0.0006705562,0.000013807722,0.00003792288,0.00025811137],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9978443,0.00012082701,0.00047485114,0.0006009842,0.00040215554,0.0005569124],"domain_scores_gemma":[0.9973283,0.0016703517,0.00028305323,0.00053368066,0.00012324932,0.00006140499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045790378,0.00027496906,0.00031200994,0.000110324596,0.0002967968,0.000048250684,0.0004712627,0.000121802106,0.000023524664],"category_scores_gemma":[0.00022440351,0.00013667649,0.00022797515,0.0005644805,0.00039493863,0.0002403815,0.000017920494,0.00014480183,0.000004721263],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004208959,0.00018479572,0.025879698,0.00004532779,0.00003640753,0.000014467902,0.00020072423,0.000020404685,0.93524104,0.02699923,0.0011689253,0.009788099],"study_design_scores_gemma":[0.0027498654,0.0016659967,0.82583153,0.00013517308,0.00023743667,0.0003163684,0.00015070102,0.010937303,0.13856247,0.016231937,0.0025046344,0.00067661225],"about_ca_topic_score_codex":0.00018102216,"about_ca_topic_score_gemma":0.000084767,"teacher_disagreement_score":0.7999518,"about_ca_system_score_codex":0.00005003863,"about_ca_system_score_gemma":0.00007626574,"threshold_uncertainty_score":0.5573505},"labels":[],"label_agreement":null},{"id":"W2323804956","doi":"10.1103/physreve.90.012702","title":"Linear noise approximation for oscillations in a stochastic inhibitory network with delay","year":2014,"lang":"en","type":"article","venue":"Physical Review E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"General Dynamics (Canada); Royal Ottawa Mental Health Centre","funders":"Canadian Institutes of Health Research","keywords":"Randomness; Noise (video); Statistical physics; Nonlinear system; Biological neuron model; Multiplicative noise; Stochastic differential equation; Gaussian noise; Probabilistic logic; Mathematics; Artificial neural network; Delay differential equation; White noise; Computer science; Control theory (sociology); Physics; Applied mathematics; Algorithm; Telecommunications; Quantum mechanics; Transmission (telecommunications)","score_opus":0.025519633810566423,"score_gpt":0.28627694168218426,"score_spread":0.2607573078716178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2323804956","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4790989,0.00071161124,0.5103762,0.0034514794,0.0004913016,0.0042148256,0.000020522304,0.00017849311,0.0014566558],"genre_scores_gemma":[0.99741274,0.000099790625,0.00044342337,0.0014642267,0.00035433538,0.00017026023,0.000008092167,0.000013650665,0.000033469332],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924463,0.000073105126,0.00014937927,0.00023708015,0.00013581889,0.00015998106],"domain_scores_gemma":[0.99930626,0.0004048762,0.00007957495,0.00013820009,0.00002870174,0.000042399726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015912658,0.00009128645,0.00018835641,0.000020559539,0.00007119415,0.000012357343,0.000058989728,0.000012917788,0.0000021226426],"category_scores_gemma":[0.0004114639,0.000065605,0.000055146113,0.00030328022,0.00003217368,0.000101539255,0.000016901271,0.00008974025,0.00002266037],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003232033,0.001149777,0.00025574706,0.0036353439,0.000016875038,0.000004295487,0.00022690961,0.43451416,0.14601246,0.31370395,0.0034624734,0.0966948],"study_design_scores_gemma":[0.0003087389,0.00020865144,0.00022507265,0.0007746784,0.000029141725,0.0000029144226,6.1189587e-7,0.9860434,0.0002819025,0.00783343,0.0041442215,0.00014726877],"about_ca_topic_score_codex":0.0000015998453,"about_ca_topic_score_gemma":0.000005394256,"teacher_disagreement_score":0.5515292,"about_ca_system_score_codex":0.000020189116,"about_ca_system_score_gemma":0.0000134604325,"threshold_uncertainty_score":0.26752943},"labels":[],"label_agreement":null},{"id":"W2323905883","doi":"10.1097/wnr.0000000000000133","title":"Sustained changes in somatosensory gamma responses after brief vibrotactile stimulation","year":2014,"lang":"en","type":"article","venue":"Neuroreport","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Baycrest Hospital","funders":"University of Toronto","keywords":"Magnetoencephalography; Somatosensory system; Stimulus (psychology); Stimulation; Neuroscience; Somatosensory evoked potential; Sensory stimulation therapy; Psychology; Audiology; Secondary somatosensory cortex; Medicine; Electroencephalography; Cognitive psychology","score_opus":0.02203803017993933,"score_gpt":0.25940088743294276,"score_spread":0.23736285725300343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2323905883","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944197,0.000002512332,0.000082518156,0.0009016581,0.00047054832,0.0002905513,0.0000044068947,0.0001413044,0.00368681],"genre_scores_gemma":[0.99468076,0.0000065224863,0.000028368418,0.0021486203,0.000119146316,0.000046671714,0.0000038838625,0.000031239575,0.002934801],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983571,0.00023092054,0.00028311342,0.00052381126,0.00030483492,0.00030022403],"domain_scores_gemma":[0.9990122,0.00036686604,0.00014836038,0.00036207112,0.000036794285,0.000073746225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022737098,0.00015954957,0.00016607788,0.00021394764,0.00007406513,0.00006420351,0.00009851361,0.00006821624,0.000068629924],"category_scores_gemma":[0.0015577938,0.0001507204,0.000048058835,0.00029464148,0.000057352478,0.00021107226,0.00008444772,0.00016964567,0.000027109658],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006918775,0.000108902736,0.03964528,0.000034334673,0.0000012885756,0.0009116883,0.00008889661,0.0002361121,0.9504009,0.00085002877,0.00026791837,0.006762761],"study_design_scores_gemma":[0.0010195207,0.0005099346,0.67173314,0.000033546483,0.000011527471,0.00046832877,0.000025224886,0.02975968,0.27222592,0.002454483,0.021291638,0.000467054],"about_ca_topic_score_codex":0.000019532878,"about_ca_topic_score_gemma":0.000054794535,"teacher_disagreement_score":0.678175,"about_ca_system_score_codex":0.000034106102,"about_ca_system_score_gemma":0.000032158492,"threshold_uncertainty_score":0.61462},"labels":[],"label_agreement":null},{"id":"W2325044920","doi":"10.1097/wnr.0b013e32834bbe1f","title":"What can topology changes in the oddball N2 reveal about underlying processes?","year":2011,"lang":"en","type":"article","venue":"Neuroreport","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Oddball paradigm; Scalp; Psychology; Brain mapping; Neuroscience; Task (project management); Contrast (vision); Anterior cingulate cortex; Electroencephalography; Cortex (anatomy); Audiology; Topology (electrical circuits); Developmental psychology; Event-related potential; Biology; Medicine; Cognition; Anatomy; Computer science; Mathematics; Artificial intelligence","score_opus":0.13990551796554954,"score_gpt":0.3081863704062242,"score_spread":0.16828085244067467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2325044920","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9857335,0.000025801663,0.000009777932,0.0026573732,0.0014596365,0.00030483826,0.0000021092244,0.00006442591,0.009742555],"genre_scores_gemma":[0.98865855,0.00019217841,0.000012400865,0.010082228,0.00006887774,0.000047591642,0.0000025117258,0.000017635151,0.00091804325],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986032,0.00012520773,0.00023735416,0.00046683583,0.00024629524,0.00032105896],"domain_scores_gemma":[0.9992639,0.0001475694,0.0001663063,0.00034340052,0.00003292933,0.00004591165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023974551,0.00014100989,0.00014122513,0.00009024543,0.00013208044,0.00009522284,0.00031501212,0.00006134744,0.00003621036],"category_scores_gemma":[0.00047094194,0.00009924329,0.000032027274,0.00040621,0.0001083661,0.0002686043,0.00006248292,0.00025831704,0.000010896348],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004131658,0.0014364035,0.090880625,0.0006086958,0.00002054572,0.013150385,0.049633205,0.00004445231,0.7578035,0.031565648,0.0040862435,0.05035715],"study_design_scores_gemma":[0.0017380101,0.002868702,0.6630261,0.00029407194,0.000088074514,0.011039296,0.006036144,0.00076045335,0.23229077,0.037392884,0.042641796,0.0018236786],"about_ca_topic_score_codex":0.00014402324,"about_ca_topic_score_gemma":0.0013416364,"teacher_disagreement_score":0.5721455,"about_ca_system_score_codex":0.000024569837,"about_ca_system_score_gemma":0.000069216665,"threshold_uncertainty_score":0.4047024},"labels":[],"label_agreement":null},{"id":"W2325920429","doi":"10.1523/jneurosci.2502-15.2016","title":"Inferring Cortical Variability from Local Field Potentials","year":2016,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Eye Institute; Canadian Institutes of Health Research; National Institutes of Health; National Science Foundation","keywords":"Local field potential; Neuroscience; Stimulus (psychology); Sensory system; Neuron; Visual cortex; Electrophysiology; Sensory stimulation therapy; Premovement neuronal activity; Sensory cortex; Population; Psychology; Medicine","score_opus":0.033279180747474046,"score_gpt":0.274064542425367,"score_spread":0.24078536167789294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2325920429","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80677557,0.0000023230143,0.1885677,0.0023156097,0.0020552091,0.000046372053,0.0000061159153,0.000015965992,0.00021510948],"genre_scores_gemma":[0.99680525,0.00003185855,0.00012457,0.0027857216,0.00015943623,5.9337845e-7,2.4629667e-8,0.0000066614975,0.00008588766],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982119,0.0002424751,0.0004496477,0.00030985445,0.00053849095,0.00024764065],"domain_scores_gemma":[0.99770564,0.0015587669,0.0002740209,0.00021459175,0.00007269773,0.00017429673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000523293,0.000104681945,0.00017997774,0.00007776522,0.0001405265,0.00007543603,0.00044627342,0.00004846237,0.000075104515],"category_scores_gemma":[0.007398757,0.00006137422,0.00010901715,0.0002357682,0.0002523864,0.0005876798,0.00011537372,0.0002444971,0.000014125119],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052653653,0.000057253066,0.0016230184,0.0000014067072,4.5547384e-7,0.00008250175,0.000009086398,0.000037465175,0.9851078,0.0008292107,0.00009705245,0.0121021075],"study_design_scores_gemma":[0.0008146326,0.0013266068,0.10185911,0.00008753194,0.000021906915,0.00051079824,0.00001031976,0.0068309777,0.8694033,0.015485515,0.0033859476,0.00026336935],"about_ca_topic_score_codex":0.0000067350684,"about_ca_topic_score_gemma":0.0000011664843,"teacher_disagreement_score":0.19002965,"about_ca_system_score_codex":0.0000419398,"about_ca_system_score_gemma":0.00007074603,"threshold_uncertainty_score":0.88575375},"labels":[],"label_agreement":null},{"id":"W2326507911","doi":"10.1038/nn.4221","title":"On-going computation of whisking phase by mechanoreceptors","year":2016,"lang":"en","type":"article","venue":"Nature Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":57,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Whisking in animals; Neuroscience; Somatosensory system; Sensory system; Neural coding; Brainstem; Communication; Psychology; Biology","score_opus":0.015048914063837427,"score_gpt":0.2914008439720927,"score_spread":0.2763519299082553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2326507911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97429127,0.000013803405,0.020861,0.0010600339,0.0025496748,0.00019414023,0.000048335212,0.000097655415,0.00088409527],"genre_scores_gemma":[0.9970031,0.000021076308,0.00004697885,0.0025974999,0.000030273737,0.000003792206,7.640524e-7,0.00001351768,0.00028299828],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983359,0.00008641443,0.00019831528,0.0005730514,0.00054829713,0.0002580093],"domain_scores_gemma":[0.9991084,0.00042010783,0.00017934902,0.00017271859,0.00004207382,0.000077371355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015766406,0.00013826179,0.00012683144,0.00014004543,0.00016683471,0.00003763494,0.00031400187,0.000099398676,0.000014185347],"category_scores_gemma":[0.001711825,0.00009075969,0.000053806478,0.0006224365,0.00017222278,0.00032071784,0.000056702265,0.00024563997,0.000013721645],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036778536,0.00008726639,0.000023929508,0.0000045134666,1.6586569e-7,0.0000033735043,0.000011174119,0.000043395954,0.97474474,0.006337428,0.0012089623,0.01749827],"study_design_scores_gemma":[0.00063770515,0.0004864294,0.000080171594,0.000054545217,0.0000024019967,0.000011463595,0.000001938117,0.008605569,0.98564225,0.0026236826,0.0017156882,0.0001381507],"about_ca_topic_score_codex":9.558375e-7,"about_ca_topic_score_gemma":4.6429227e-7,"teacher_disagreement_score":0.022711838,"about_ca_system_score_codex":0.000034592173,"about_ca_system_score_gemma":0.00002377807,"threshold_uncertainty_score":0.37010726},"labels":[],"label_agreement":null},{"id":"W2326637899","doi":"10.1139/z2012-052","title":"Autonomic mediation of the interdependence between variability signals of heart rate and blood pressure in the lizard <i>Gallotia galloti</i>","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Zoology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Ministerio de Ciencia e Innovación","keywords":"Biology; Propranolol; Internal medicine; Blood pressure; Heart rate; Heart rate variability; Beat (acoustics); Context (archaeology); Vagal tone; Endocrinology; Cardiology; Neuroscience; Physics; Medicine; Acoustics","score_opus":0.019739910895408556,"score_gpt":0.23233787686943458,"score_spread":0.21259796597402603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2326637899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969139,0.00012759071,0.000044014738,0.002212995,0.00043933047,0.00012418689,0.000024305034,9.317067e-7,0.00011273195],"genre_scores_gemma":[0.9994493,0.0000117130985,0.000013221465,0.0004206236,0.00007686061,9.1447265e-7,2.435217e-7,0.000004392242,0.000022740192],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99826723,0.00097084127,0.000384588,0.00009447331,0.00009576805,0.00018707926],"domain_scores_gemma":[0.9985058,0.0008654909,0.00032515806,0.0001464441,0.00004248544,0.00011467473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020145704,0.00006843823,0.00019760561,0.00009196196,0.00004784089,0.0000111821,0.00029681242,0.00006956393,0.000032613756],"category_scores_gemma":[0.0012912573,0.00004253954,0.00005421429,0.00014162165,0.00022045815,0.00014974429,0.000022775803,0.00026240252,4.99833e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018419114,0.000029084576,0.8267566,0.00002213811,0.000018944449,0.0000028154357,0.0008591975,0.00021071313,0.17058568,0.0009312757,0.00011335289,0.00045176424],"study_design_scores_gemma":[0.00023964004,0.00018078682,0.9788356,0.000022664926,0.00007434191,0.00008880771,0.000041772804,0.00020596126,0.018532505,0.0013492391,0.0003786614,0.000050029936],"about_ca_topic_score_codex":0.00051519525,"about_ca_topic_score_gemma":0.0030873457,"teacher_disagreement_score":0.15207897,"about_ca_system_score_codex":0.000016749624,"about_ca_system_score_gemma":0.00026692107,"threshold_uncertainty_score":0.17347121},"labels":[],"label_agreement":null},{"id":"W2328001100","doi":"10.1007/s10827-016-0591-y","title":"Large extracellular space leads to neuronal susceptibility to ischemic injury in a Na+/K + pumps–dependent manner","year":2016,"lang":"en","type":"article","venue":"Journal of Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Extracellular; Depolarization; Neuroscience; Ischemia; Electrophysiology; Biophysics; Homeostasis; Mechanism (biology); Chemistry; Biology; Cell biology; Internal medicine; Medicine; Physics","score_opus":0.021355025352184254,"score_gpt":0.2800888475498562,"score_spread":0.25873382219767194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2328001100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94831127,0.0000047885123,0.040325385,0.009741977,0.0012497414,0.00024367198,0.000034782097,0.000019793888,0.000068583955],"genre_scores_gemma":[0.9937433,0.0000064648225,0.0005985603,0.004928362,0.0001170253,0.0000047467393,2.9024446e-7,0.000018466337,0.0005827863],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9967476,0.0002085947,0.00067286147,0.0006288926,0.0012536464,0.00048837985],"domain_scores_gemma":[0.998481,0.00042837946,0.00030202352,0.00021775704,0.00020036321,0.0003705136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085229136,0.00020974841,0.00025775115,0.0004883105,0.00014620733,0.00011260625,0.0006685836,0.00004809442,0.000059037167],"category_scores_gemma":[0.0018994634,0.0001534375,0.000117237956,0.0009556038,0.00013885218,0.0006385061,0.00022698341,0.00030444498,0.00006963977],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020687783,0.000211242,0.0034452782,0.0000060072894,4.370956e-7,0.00010272817,0.000065483735,0.024943512,0.96664786,0.00280535,0.0005798783,0.0009853466],"study_design_scores_gemma":[0.0032356663,0.0041861827,0.37653765,0.00032986543,0.0000182098,0.001044011,0.000041180465,0.041417874,0.5445981,0.011250971,0.016126646,0.001213631],"about_ca_topic_score_codex":0.000002155016,"about_ca_topic_score_gemma":0.0000048929855,"teacher_disagreement_score":0.42204976,"about_ca_system_score_codex":0.00016489613,"about_ca_system_score_gemma":0.00017614599,"threshold_uncertainty_score":0.6257},"labels":[],"label_agreement":null},{"id":"W2328406742","doi":"10.1097/wnr.0b013e32834e7e71","title":"Adaptation-induced plasticity and spike waveforms in cat visual cortex","year":2011,"lang":"en","type":"article","venue":"Neuroreport","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Université de Montréal","funders":"","keywords":"Visual cortex; Neuroscience; Adaptation (eye); Orientation (vector space); Electrophysiology; Spike (software development); Physics; Plasticity; CATS; Biology; Computer science; Geometry; Mathematics","score_opus":0.07272856093269255,"score_gpt":0.2648144691751635,"score_spread":0.19208590824247096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2328406742","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99462783,7.7320766e-7,0.000091300564,0.000036538586,0.00048624357,0.00018078607,0.0000022775164,0.000058783095,0.0045154435],"genre_scores_gemma":[0.99913895,0.000008909316,0.000040639494,0.0005645346,0.00003086833,0.000011406072,0.0000019149695,0.00001594532,0.00018683053],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988352,0.000031072283,0.00028738732,0.00042926404,0.00020470927,0.00021234874],"domain_scores_gemma":[0.99957925,0.000071575196,0.00012571714,0.00011722777,0.000020573743,0.000085675456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000080317506,0.00012660133,0.00013130862,0.00010299026,0.00007482463,0.000025776317,0.00007330299,0.000050869654,0.00003699494],"category_scores_gemma":[0.00026953057,0.000105541,0.000028100789,0.00020496412,0.000053305124,0.00022843061,0.000055296587,0.00013667959,0.000017832243],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009504224,0.00017140522,0.026500171,0.000012897881,0.0000015232778,0.0009369819,0.00043531964,0.000011206739,0.96266943,0.0017189393,0.00001922476,0.007427883],"study_design_scores_gemma":[0.00039924035,0.00044576288,0.85543346,0.000009607729,0.0000072495195,0.0004587245,0.00004896089,0.030867225,0.11109718,0.00088091433,0.00013142281,0.0002202553],"about_ca_topic_score_codex":0.00021920439,"about_ca_topic_score_gemma":0.00013735225,"teacher_disagreement_score":0.8515722,"about_ca_system_score_codex":0.000019524528,"about_ca_system_score_gemma":0.000041361374,"threshold_uncertainty_score":0.4303837},"labels":[],"label_agreement":null},{"id":"W2328586809","doi":"10.1152/jn.00546.2014","title":"Computational study of synchrony in fields and microclusters of ephaptically coupled neurons","year":2015,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Christie (Canada); McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Neuroscience; Coupling (piping); Neuron; Gap junction; Electrophysiology; Excitatory postsynaptic potential; Synchronization (alternating current); Physics; Population; Extracellular; Biological system; Chemistry; Computer science; Biology; Inhibitory postsynaptic potential; Intracellular; Materials science; Telecommunications","score_opus":0.03318921104227818,"score_gpt":0.27486427321569845,"score_spread":0.24167506217342027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2328586809","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99916786,0.0000040767354,0.0001682308,0.00029188686,0.0002518383,0.000091575814,0.0000016565538,0.000001986864,0.000020895304],"genre_scores_gemma":[0.99954504,0.000012770298,0.00007882123,0.0003236833,0.000026077005,4.3789913e-7,1.7331148e-7,0.00000595195,0.0000070716023],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99897635,0.0001928062,0.00044391162,0.00012827753,0.00016549959,0.00009316226],"domain_scores_gemma":[0.99902505,0.00042196352,0.00031222278,0.00007314,0.00011057829,0.000057058573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006401904,0.00007244641,0.0002709414,0.00014591316,0.00001471984,0.000004718554,0.00012899101,0.00003128976,0.0000033839174],"category_scores_gemma":[0.00037124456,0.000058660877,0.000035801528,0.00014372992,0.00010830704,0.000073441355,0.00006546328,0.00018553736,5.440549e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005226301,0.00054126634,0.000877273,0.000016432476,0.0000065247464,0.0001000003,0.00027489505,0.089941025,0.90727025,0.00014616392,0.000024379498,0.0002791829],"study_design_scores_gemma":[0.009381892,0.031710442,0.53050584,0.000060503065,0.00007118046,0.00096294895,0.0005757285,0.4161706,0.0045121536,0.005712594,0.00005324396,0.0002828496],"about_ca_topic_score_codex":0.000011229104,"about_ca_topic_score_gemma":0.0000029867579,"teacher_disagreement_score":0.90275806,"about_ca_system_score_codex":0.000009277016,"about_ca_system_score_gemma":0.000047316757,"threshold_uncertainty_score":0.23921211},"labels":[],"label_agreement":null},{"id":"W2328680565","doi":"10.1103/physreve.90.022721","title":"Scale-free and economical features of functional connectivity in neuronal networks","year":2014,"lang":"en","type":"article","venue":"Physical Review E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Pairwise comparison; Poisson distribution; Statistical physics; Information transfer; Entropy (arrow of time); Transfer entropy; Power law; Computer science; Measure (data warehouse); Information theory; Complex network; Probability distribution; Population; Principle of maximum entropy; Physics; Mathematics; Artificial intelligence; Statistics; Data mining","score_opus":0.019055320917314468,"score_gpt":0.2562603503145286,"score_spread":0.23720502939721413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2328680565","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99634206,0.00030243755,0.00028833887,0.0015199232,0.00015505638,0.00016478196,0.0000059104927,0.000014187295,0.0012072863],"genre_scores_gemma":[0.99709916,0.000842488,0.000008636534,0.0018609714,0.00014511935,0.000010374291,0.0000018411846,0.000006676108,0.000024759443],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9991882,0.00015148232,0.00015061935,0.00028053115,0.00010271159,0.00012645697],"domain_scores_gemma":[0.9990483,0.00064638775,0.00006954225,0.00017178555,0.000011091292,0.000052895237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015878299,0.00009223315,0.0002741039,0.000020494506,0.000029219313,0.000010490254,0.00009100574,0.000018567227,0.00001304239],"category_scores_gemma":[0.0006400099,0.00006632176,0.00007243958,0.000110631656,0.00010039659,0.000088096334,0.000090317786,0.00017919674,0.0000046597797],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028903646,0.001082256,0.009572788,0.00152313,0.000011206573,0.0000043541163,0.000027563514,0.0019855746,0.21096464,0.28181323,0.005644117,0.48708212],"study_design_scores_gemma":[0.001112176,0.00040501755,0.7679434,0.0006044422,0.000040172075,0.000030315336,0.0000010667527,0.1654635,0.005641632,0.05268351,0.0056857015,0.00038909877],"about_ca_topic_score_codex":0.0000065377285,"about_ca_topic_score_gemma":0.00001407742,"teacher_disagreement_score":0.7583706,"about_ca_system_score_codex":0.000010299412,"about_ca_system_score_gemma":0.0000069990815,"threshold_uncertainty_score":0.2704523},"labels":[],"label_agreement":null},{"id":"W2329822579","doi":"10.2741/3946","title":"Brain at work: time, sparseness and superposition principles","year":2011,"lang":"en","type":"review","venue":"Frontiers in bioscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Computer science; Neural coding; ENCODE; Synchronization (alternating current); Encoding (memory); Coding (social sciences); Artificial intelligence; Neuroscience; Psychology; Biology","score_opus":0.07406592154372846,"score_gpt":0.2747183192248313,"score_spread":0.20065239768110285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2329822579","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014203815,0.992303,0.0004017459,0.00008609256,0.0027727697,0.00093476044,0.00006303686,0.0000901915,0.0019280034],"genre_scores_gemma":[0.00005897259,0.99224764,0.0008013627,0.0002563781,0.000049768685,0.00005216869,0.000015121563,0.000032730724,0.0064858827],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99742484,0.00027016463,0.00043861658,0.0011090443,0.00026790015,0.00048943685],"domain_scores_gemma":[0.999057,0.00017636371,0.00023531217,0.0003874005,0.000013987752,0.00012992215],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00035776192,0.0003768292,0.000763173,0.00044230753,0.00020187296,0.000108260705,0.0005681753,0.00024579794,0.000024079936],"category_scores_gemma":[0.00025662262,0.00030551126,0.00013044417,0.0012607509,0.00056215434,0.00028732987,0.00039441677,0.00029035838,0.00007176303],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021136317,0.000064097454,0.00025893535,0.0013757752,0.000003801521,0.00004704302,0.000056949822,0.0000019652998,0.0009053143,0.0009099017,0.0043578236,0.99199724],"study_design_scores_gemma":[0.000094810064,0.000050695333,0.00014071874,0.0018277094,0.000027705852,0.000078989884,0.0000033693407,0.00042279135,0.0001050092,0.00015598066,0.99667054,0.00042167853],"about_ca_topic_score_codex":0.0000068563268,"about_ca_topic_score_gemma":0.0000030504355,"teacher_disagreement_score":0.9923127,"about_ca_system_score_codex":0.0002283589,"about_ca_system_score_gemma":0.00008118382,"threshold_uncertainty_score":0.9999397},"labels":[],"label_agreement":null},{"id":"W2329935490","doi":"10.1371/journal.pbio.1002424","title":"Modulation of Cortical Oscillations by Low-Frequency Direct Cortical Stimulation Is State-Dependent","year":2016,"lang":"en","type":"article","venue":"PLoS Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":155,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"National Center for Advancing Translational Sciences; National Institute of Mental Health; School of Medicine, University of North Carolina at Chapel Hill; National Institutes of Health","keywords":"Stimulation; Neuroscience; Transcranial alternating current stimulation; Brain stimulation; Transcranial magnetic stimulation; Transcranial direct-current stimulation; Oscillation (cell signaling); Resting state fMRI; Brain activity and meditation; Human brain; Biology; Electroencephalography","score_opus":0.029092417240614038,"score_gpt":0.26747805797047547,"score_spread":0.23838564072986143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2329935490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99136025,0.0000067889237,0.006723072,0.0005975115,0.00024260429,0.00021184821,0.0002260883,0.00006304723,0.00056878396],"genre_scores_gemma":[0.99932575,0.0000341225,0.000061085826,0.00023452485,0.000032534288,0.000010634859,0.000017797176,0.000011941602,0.0002715899],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986784,0.00021280025,0.00033998286,0.0003823606,0.00016539676,0.00022106963],"domain_scores_gemma":[0.99884766,0.0006864956,0.00012373622,0.00020063075,0.00007295723,0.00006850519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000100364305,0.00011051195,0.00017212375,0.00007030464,0.0000971563,0.000009281858,0.00010047452,0.00009702145,0.00022755844],"category_scores_gemma":[0.0009535671,0.0000746517,0.000047150916,0.00014192851,0.00017891215,0.000119143435,0.000040533538,0.000089442095,0.000069680515],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003858428,0.000108390515,0.022656454,0.000005121763,0.0000054372777,8.2062553e-7,0.000020207333,0.00004224201,0.97297245,0.0023153324,0.00007234599,0.0017625953],"study_design_scores_gemma":[0.0010526768,0.0007431858,0.116207354,0.000035036534,0.000033247677,0.000006035839,0.000003936605,0.07282665,0.79166627,0.01693034,0.00017041722,0.0003248498],"about_ca_topic_score_codex":0.000016785698,"about_ca_topic_score_gemma":0.000005887032,"teacher_disagreement_score":0.1813062,"about_ca_system_score_codex":0.000051562667,"about_ca_system_score_gemma":0.000023041028,"threshold_uncertainty_score":0.30442083},"labels":[],"label_agreement":null},{"id":"W2330029841","doi":"10.3934/mbe.2005.2.675","title":"Spatial Buffering Mechanism: Mathematical Model and Computer Simulations","year":2005,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pacific Institute for the Mathematical Sciences; York University; University of Toronto","funders":"","keywords":"Cellular automaton; Mechanism (biology); Biological system; Computer science; Extracellular; Lattice (music); Pattern formation; Computer simulation; Brain Cell; Statistical physics; Neuroscience; Simulation; Biophysics; Physics; Chemistry; Algorithm; Biology","score_opus":0.022142842800042018,"score_gpt":0.23304603321939443,"score_spread":0.2109031904193524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2330029841","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40543833,0.0000026341042,0.5935756,0.00033753834,0.00007178526,0.00012842726,0.000005062581,0.00013265494,0.00030798148],"genre_scores_gemma":[0.9574635,0.0000032101052,0.042078197,0.00022536422,0.0001050717,0.000008302875,5.275543e-7,0.000016367154,0.00009946513],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986457,0.000013724886,0.00027918347,0.0003812262,0.00033752582,0.00034260805],"domain_scores_gemma":[0.999303,0.00032427785,0.00004095491,0.00016796842,0.000014630766,0.0001492034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016501914,0.00017964812,0.00019461669,0.000108430904,0.00016447157,0.00016715741,0.00019569446,0.00005924318,0.000073256866],"category_scores_gemma":[0.00024370047,0.00014494298,0.00004664155,0.00020886186,0.000091450784,0.0003020835,0.00014422715,0.00013808196,0.000053265034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018980143,0.000059387552,0.000003284855,0.00004449068,0.0000015610585,0.00000249923,0.00015626888,0.11091766,0.38559508,0.5014156,0.0000057779657,0.0017964765],"study_design_scores_gemma":[0.00010061542,0.000036063702,0.00001830855,0.000033771328,0.0000066893235,0.000035014913,0.0000047625326,0.94584036,0.025420131,0.02829158,0.000040462513,0.00017223551],"about_ca_topic_score_codex":8.568568e-7,"about_ca_topic_score_gemma":0.0000011622766,"teacher_disagreement_score":0.83492273,"about_ca_system_score_codex":0.000034042856,"about_ca_system_score_gemma":0.000010769608,"threshold_uncertainty_score":0.59106034},"labels":[],"label_agreement":null},{"id":"W2331200198","doi":"10.1103/physrevlett.108.228102","title":"Optimal Heterogeneity for Coding in Spiking Neural Networks","year":2012,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":140,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Coding (social sciences); Biological system; Computer science; Transmission rate; Synchronization (alternating current); Artificial neural network; Information transmission; Statistical physics; Neural coding; Spiking neural network; Transmission (telecommunications); Mathematics; Artificial intelligence; Statistics; Physics; Biology; Telecommunications","score_opus":0.0553472277677646,"score_gpt":0.3236224727304495,"score_spread":0.26827524496268484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2331200198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99054986,0.00062577333,0.005296322,0.0026062394,0.0004100611,0.00045388425,0.0000027789943,0.000031521595,0.000023548106],"genre_scores_gemma":[0.96848786,0.00039173575,0.00007954957,0.030512683,0.0004415655,0.000066129716,0.0000034536927,0.000015274174,0.0000017670142],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998957,0.00009076526,0.00017208356,0.0002417129,0.00012477569,0.0004136835],"domain_scores_gemma":[0.999427,0.0002797146,0.00007353645,0.00013684844,0.0000061785017,0.00007669634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018850982,0.00012797679,0.00022878539,0.000022629967,0.00006814704,0.000023880842,0.00012822563,0.000008077638,0.0000031908767],"category_scores_gemma":[0.00016531754,0.00010668001,0.00015327384,0.00018720304,0.000034705812,0.00025043864,0.00004874416,0.00015720897,0.000007828843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054284043,0.00031924286,0.003959395,0.00087718765,0.000008484981,0.000010724459,0.000068467525,0.030349083,0.9330119,0.003482036,0.0016399287,0.02621925],"study_design_scores_gemma":[0.000338532,0.00006518188,0.00366622,0.00039527193,0.00003800113,0.000014423264,0.0000012647425,0.9831888,0.008028557,0.000029040299,0.0038787925,0.0003559152],"about_ca_topic_score_codex":0.0000020161306,"about_ca_topic_score_gemma":5.538986e-7,"teacher_disagreement_score":0.95283973,"about_ca_system_score_codex":0.000036142173,"about_ca_system_score_gemma":0.000001853805,"threshold_uncertainty_score":0.43502846},"labels":[],"label_agreement":null},{"id":"W2331422702","doi":"10.3389/fpsyg.2016.00327","title":"Unpredicted Pitch Modulates Beta Oscillatory Power during Rhythmic Entrainment to a Tone Sequence","year":2016,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Entrainment (biomusicology); Rhythm; Psychology; BETA (programming language); Beta Rhythm; Tone (literature); Perception; Electroencephalography; Sensory system; Auditory cortex; Neuroscience; Auditory perception; Audiology; Physics; Computer science; Acoustics","score_opus":0.01843033677756693,"score_gpt":0.2850593782192356,"score_spread":0.26662904144166866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2331422702","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9808898,0.00006658854,0.008766827,0.0040908917,0.0045705982,0.00035765322,0.00003412954,0.000099888915,0.0011236233],"genre_scores_gemma":[0.9961683,0.00012865648,0.00075071893,0.0024833153,0.00006883347,0.000029476274,0.0000010812669,0.000025375077,0.00034423443],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99805653,0.0001423321,0.00030212116,0.0007831453,0.0001871,0.0005287679],"domain_scores_gemma":[0.9992753,0.00005741667,0.000072885,0.00043363328,0.000018347922,0.00014239641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015548657,0.00018664703,0.00022752183,0.00029758233,0.00007931128,0.000016000615,0.00028942522,0.00012382567,0.00009173883],"category_scores_gemma":[0.00011881502,0.00014539018,0.000053280764,0.00040668133,0.00016483889,0.000139414,0.000087152825,0.00015301722,0.000078456746],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017212177,0.000072550145,0.007537203,0.00000468134,0.0000070490546,0.00008256119,0.00018590299,0.000024298315,0.9751456,0.0003419281,0.0040320843,0.012394056],"study_design_scores_gemma":[0.013269608,0.0022576465,0.5075832,0.00049443776,0.000048628463,0.0009805394,0.00026937661,0.004086954,0.3489852,0.042022772,0.077218615,0.0027830247],"about_ca_topic_score_codex":0.0000037206491,"about_ca_topic_score_gemma":0.0000026930877,"teacher_disagreement_score":0.6261604,"about_ca_system_score_codex":0.00016156441,"about_ca_system_score_gemma":0.000019067287,"threshold_uncertainty_score":0.59288394},"labels":[],"label_agreement":null},{"id":"W2332885371","doi":"10.1016/j.vascn.2013.01.140","title":"Auditory evoked potentials: A feasibility study in telemetered cynomolgus monkeys","year":2013,"lang":"en","type":"article","venue":"Journal of Pharmacological and Toxicological Methods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Medicine; Audiology; Neuroscience; Psychology","score_opus":0.14519448077323283,"score_gpt":0.43212328155512,"score_spread":0.28692880078188715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2332885371","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949693,0.000062039646,0.001655482,0.0008528541,0.0011748564,0.00094866,0.000002272427,0.000029624174,0.0003049045],"genre_scores_gemma":[0.9892669,0.00009914572,0.009118859,0.0010794963,0.00028230992,0.000045079385,1.1999218e-7,0.000007872677,0.000100243175],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9940907,0.0037751875,0.0009249763,0.00046935264,0.00034384453,0.0003959862],"domain_scores_gemma":[0.9967408,0.0022861687,0.00044277564,0.00010788743,0.00011088688,0.0003114461],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022060305,0.00023680207,0.0006317162,0.00016982059,0.00013453196,0.00009859205,0.00035716777,0.00017771058,0.0012625655],"category_scores_gemma":[0.003150377,0.00013790195,0.00018080989,0.00039556454,0.00021949787,0.00033523518,0.00023053313,0.0008546803,0.000011513045],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034626157,0.002580676,0.0061338316,0.0000063384455,0.000020777416,0.00030261854,0.000046077806,0.00004256045,0.9467471,0.000059884904,0.00020280486,0.043511033],"study_design_scores_gemma":[0.005556494,0.011722476,0.85515994,0.000015933558,0.00016355012,0.00034319147,0.00024680732,0.0061916886,0.08551202,0.034035727,0.0005747322,0.00047742337],"about_ca_topic_score_codex":0.000008285429,"about_ca_topic_score_gemma":0.000001641864,"teacher_disagreement_score":0.8612351,"about_ca_system_score_codex":0.000102301594,"about_ca_system_score_gemma":0.0000291762,"threshold_uncertainty_score":0.9996504},"labels":[],"label_agreement":null},{"id":"W2333048336","doi":"10.1523/jneurosci.2744-15.2016","title":"Resolution of High-Frequency Mesoscale Intracortical Maps Using the Genetically Encoded Glutamate Sensor iGluSnFR","year":2016,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":107,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; National Institute on Drug Abuse; Howard Hughes Medical Institute; Allen Institute for Artificial Intelligence; University of British Columbia; Heart and Stroke Foundation of Canada","keywords":"Neuroscience; Glutamatergic; Voltage-sensitive dye; Sensory system; Glutamate receptor; Transgene; Premovement neuronal activity; Biology; Wakefulness; Electrophysiology; Electroencephalography; Biochemistry; Gene","score_opus":0.03643664599558803,"score_gpt":0.26894242793640705,"score_spread":0.232505781940819,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2333048336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97464776,0.000014923647,0.020136535,0.003482626,0.0014997846,0.00011829622,0.000019968822,0.000013357326,0.00006672919],"genre_scores_gemma":[0.99733245,0.00012589972,0.0015316891,0.00076782604,0.00014619804,7.832029e-7,5.115658e-8,0.000013361179,0.00008172364],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974461,0.00030805968,0.0007131649,0.00031896296,0.00084805617,0.00036562243],"domain_scores_gemma":[0.99827605,0.0004782888,0.0006164836,0.0003074406,0.00018179076,0.00013994801],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000571448,0.0001481392,0.00023944896,0.00014127337,0.0002147734,0.00006365186,0.0006352814,0.00005882995,0.000012845647],"category_scores_gemma":[0.0020283822,0.00007538914,0.00013170028,0.00053466193,0.0007715949,0.00044804928,0.00011898343,0.00023893098,0.000004287835],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000660267,0.00006627849,0.00017864203,0.0000048191837,8.9256764e-7,0.0000590246,0.00001651909,0.00044544734,0.99464095,0.0032763127,0.000034008608,0.0012110758],"study_design_scores_gemma":[0.0006921662,0.00085582933,0.01954512,0.000105411455,0.000040429633,0.0018312299,0.000015261414,0.020669155,0.9484173,0.0073579624,0.0002615521,0.0002085878],"about_ca_topic_score_codex":0.000009347649,"about_ca_topic_score_gemma":0.0000023994562,"teacher_disagreement_score":0.046223655,"about_ca_system_score_codex":0.000066229186,"about_ca_system_score_gemma":0.00012454789,"threshold_uncertainty_score":0.307428},"labels":[],"label_agreement":null},{"id":"W2333303354","doi":"10.2174/156802611797470376","title":"Thalamocortical Oscillations: Local Control of EEG Slow Waves","year":2011,"lang":"en","type":"review","venue":"Current Topics in Medicinal Chemistry","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Institute of Neurological Disorders and Stroke; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Neocortex; Neuroscience; Electroencephalography; Reticular connective tissue; Thalamus; Oscillation (cell signaling); Reticular formation; Thalamic reticular nucleus; Mechanism (biology); Rhythm; Computer science; Nucleus; Physics; Biology; Anatomy","score_opus":0.07932839974948033,"score_gpt":0.3424429070872604,"score_spread":0.2631145073377801,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2333303354","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00022606248,0.99391216,0.0011088089,0.000040560084,0.001279557,0.00040683258,0.00004831471,0.00002850248,0.0029491894],"genre_scores_gemma":[0.0071339076,0.9920142,0.000011401676,0.000029666919,0.00042108085,0.00004561839,0.000031224627,0.000021819207,0.0002910589],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99796784,0.00009707909,0.00079080777,0.0005060484,0.00035380694,0.00028439853],"domain_scores_gemma":[0.99879736,0.000329424,0.00035036163,0.00036646426,0.000040995947,0.000115412004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001957682,0.0003110643,0.0009759761,0.00007598386,0.00003904212,0.000010970569,0.0003845676,0.00026371566,0.00015620828],"category_scores_gemma":[0.0008366938,0.00024079233,0.00025274983,0.00027834816,0.00037092585,0.000043370826,0.00007894714,0.000874663,0.000011147879],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008480853,0.00011457627,0.00003599392,0.011152831,0.0000073302713,0.00001962171,0.000016725931,0.0000012060955,0.00016226641,0.0016141818,0.00009488916,0.9867719],"study_design_scores_gemma":[0.0004888946,0.00005446895,0.000030921154,0.009333488,0.00023845104,0.0000910037,0.00001067062,0.0007403072,0.00040121167,0.0011123762,0.987149,0.00034922146],"about_ca_topic_score_codex":0.0000025763225,"about_ca_topic_score_gemma":5.5430354e-7,"teacher_disagreement_score":0.9870541,"about_ca_system_score_codex":0.00011050455,"about_ca_system_score_gemma":0.00019306123,"threshold_uncertainty_score":0.9819226},"labels":[],"label_agreement":null},{"id":"W2334597667","doi":"10.1152/jn.00949.2011","title":"Spatial attention enhances the selective integration of activity from area MT","year":2012,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Stimulus (psychology); Receptive field; Neuroscience; Perception; Sensory system; Psychology; Visual cortex; Correlation; Visual perception; Surround suppression; Cognitive psychology","score_opus":0.03241972137911796,"score_gpt":0.26847023221989724,"score_spread":0.23605051084077927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2334597667","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99499935,0.000005094127,0.0029822288,0.000298052,0.0015701096,0.000063823034,0.000006164762,0.0000046190735,0.000070556394],"genre_scores_gemma":[0.99924606,0.00005191725,0.000022558368,0.00021414322,0.0004337944,0.0000011986923,7.354288e-7,0.0000061555156,0.000023462811],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990266,0.00035947058,0.00022393807,0.000104799794,0.0001576416,0.00012756525],"domain_scores_gemma":[0.9987895,0.0004545388,0.00053816824,0.00009639092,0.00008873315,0.000032673335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006216807,0.0000818121,0.00017314278,0.000055290613,0.000073397205,0.000009637627,0.00014542667,0.000039613362,0.000019873556],"category_scores_gemma":[0.00040093562,0.00004752786,0.000105888175,0.00013197027,0.00009589165,0.00029205834,0.000031262956,0.0002724957,0.000005376828],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025171117,0.00010163387,0.00012965075,0.0000015960661,0.000006004595,0.0000018033289,0.000072997034,0.000056146215,0.9933062,0.000087297434,0.00002613127,0.0059588207],"study_design_scores_gemma":[0.00015412588,0.00062292826,0.33075303,0.00000874322,0.000020258762,0.00003001764,0.000014074364,0.0027469625,0.6645804,0.0009480588,0.000075545824,0.000045843826],"about_ca_topic_score_codex":0.00004983577,"about_ca_topic_score_gemma":0.0000057267625,"teacher_disagreement_score":0.3306234,"about_ca_system_score_codex":0.000018896468,"about_ca_system_score_gemma":0.000017890608,"threshold_uncertainty_score":0.193813},"labels":[],"label_agreement":null},{"id":"W2335008087","doi":"10.1152/jn.00116.2011","title":"Coding movement direction by burst firing in electrosensory neurons","year":2011,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Coding (social sciences); Neuroscience; Bursting; Communication; Movement (music); Neural coding; Predictive coding; Computer science; Psychology; Physics; Mathematics; Acoustics","score_opus":0.03602871664316761,"score_gpt":0.2439521234202583,"score_spread":0.20792340677709067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2335008087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99803776,0.0000105164245,0.00010219094,0.00018661945,0.001051321,0.000065131324,0.0000017274806,0.000014332105,0.0005304273],"genre_scores_gemma":[0.99793226,0.00024171642,0.00002349937,0.0015481632,0.00009808008,0.0000015326342,2.8138945e-7,0.000015578315,0.00013890621],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99885267,0.00020684075,0.00036075155,0.00020798683,0.00013049477,0.00024122931],"domain_scores_gemma":[0.9993994,0.00013668783,0.0002717354,0.0001041587,0.000031311818,0.000056708708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005262587,0.0001114443,0.00019637097,0.00017139447,0.00006704631,0.000012600251,0.0001660674,0.000040169583,0.000025468307],"category_scores_gemma":[0.0002201863,0.00009599228,0.00007797955,0.00020853565,0.000051631778,0.00017593744,0.000039812912,0.00038198268,0.000008561598],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014507867,0.00009319143,0.00008910027,0.000004120875,0.0000021156038,0.00013992422,0.000035540397,0.00018541724,0.9971884,0.00029001595,0.00009073782,0.0017363917],"study_design_scores_gemma":[0.0013789139,0.0043840106,0.14910594,0.000042376123,0.000023505434,0.0006151497,0.000025120426,0.007031903,0.8276712,0.0073300805,0.0020296483,0.00036216373],"about_ca_topic_score_codex":0.000009018549,"about_ca_topic_score_gemma":0.0000014850023,"teacher_disagreement_score":0.16951717,"about_ca_system_score_codex":0.00004310222,"about_ca_system_score_gemma":0.000015237504,"threshold_uncertainty_score":0.39144516},"labels":[],"label_agreement":null},{"id":"W2336217591","doi":"10.1073/pnas.1600788113","title":"Primary motor and sensory cortical areas communicate via spatiotemporally coordinated networks at multiple frequencies","year":2016,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":93,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Institute of Dental and Craniofacial Research; Canadian Institutes of Health Research; Government of Canada","keywords":"Neuroscience; Somatosensory system; Sensory system; Neuroplasticity; Coherence (philosophical gambling strategy); Psychology; Primary motor cortex; Motor cortex; Physics","score_opus":0.05194325973200771,"score_gpt":0.2668727083158136,"score_spread":0.21492944858380592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2336217591","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935564,0.000041204,0.000016312522,0.004951076,0.000030320705,0.0001898948,0.000022903736,0.000022111491,0.00116978],"genre_scores_gemma":[0.99856514,0.00009672967,0.0002704156,0.00069320586,0.000028432232,0.0000060815555,1.2627156e-7,0.0000049089845,0.0003349801],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985844,0.000025103704,0.00029321996,0.0002776163,0.00065256254,0.000167132],"domain_scores_gemma":[0.9986668,0.00077065,0.0003648724,0.000014872636,0.0001341884,0.000048621452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007135836,0.00010032389,0.0001446126,0.00008531197,0.0003768814,0.000023614935,0.00055768783,0.00007858075,0.000006758986],"category_scores_gemma":[0.0013637451,0.0000550002,0.000049509286,0.00034634696,0.0018604787,0.0004384965,0.000342442,0.0001458129,0.0000011764924],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041289495,0.000022829672,0.022515254,0.000015534502,0.000002612645,1.5284e-8,0.00001608516,0.000022110455,0.9705018,0.0062621627,0.000111720765,0.00048862305],"study_design_scores_gemma":[0.00041959685,0.000121172874,0.43117565,0.00011149669,0.0000098857,0.000039014936,0.000015033338,0.033997666,0.51626253,0.017547367,0.00014482264,0.00015576421],"about_ca_topic_score_codex":0.000006823871,"about_ca_topic_score_gemma":3.2067376e-7,"teacher_disagreement_score":0.45423922,"about_ca_system_score_codex":0.00005855761,"about_ca_system_score_gemma":0.000014981452,"threshold_uncertainty_score":0.68550116},"labels":[],"label_agreement":null},{"id":"W2337784707","doi":"10.1101/048561","title":"Posterior inferotemporal cortex cells use multiple visual pathways to complement fine and coarse discriminations","year":2016,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Center for Advancing Translational Sciences; National Eye Institute; National Center for Research Resources; Harvard Catalyst; National Institutes of Health; Harvard University","keywords":"Macaque; Visual cortex; Visual system; Neuroscience; Cortex (anatomy); Cognitive neuroscience of visual object recognition; Visual memory; Visual processing; Feature (linguistics); Vision for perception and vision for action; Psychology; Computer science; Object (grammar); Artificial intelligence; Cognition; Perception","score_opus":0.042221145868120875,"score_gpt":0.25162625208479916,"score_spread":0.2094051062166783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2337784707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913256,0.000013077025,0.0018662252,0.0007052291,0.002042433,0.0015072263,0.0022621749,0.0002751195,0.000002884678],"genre_scores_gemma":[0.9973341,0.000029317867,0.0012031859,0.0008471796,0.00024378992,0.00021712514,0.0000010657931,0.000106859625,0.000017370396],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968593,0.00018959165,0.0005926707,0.0013305667,0.00045197963,0.0005759019],"domain_scores_gemma":[0.9978577,0.000292227,0.00035919034,0.0008043351,0.00025554802,0.00043098294],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025475243,0.00056513905,0.0004818891,0.00031353757,0.00031982924,0.00052492495,0.0003818877,0.00023061631,0.000041384254],"category_scores_gemma":[0.00055250514,0.00050895044,0.00011154863,0.0002919236,0.00015186932,0.00033550733,0.0011490599,0.00040127695,0.00007982168],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000564655,0.00016214878,0.0030579348,0.00009743617,0.000013204178,0.000050599076,0.000013304974,0.000016524124,0.9956178,0.0006055875,0.0002973149,0.000011645824],"study_design_scores_gemma":[0.0011587616,0.00039155092,0.16025531,0.00043488794,0.000073209085,7.7126195e-8,0.000003957461,0.0070359325,0.8231876,0.000008183613,0.006203882,0.0012466855],"about_ca_topic_score_codex":0.00007011235,"about_ca_topic_score_gemma":0.000034058074,"teacher_disagreement_score":0.17243028,"about_ca_system_score_codex":0.00019674712,"about_ca_system_score_gemma":0.00019132515,"threshold_uncertainty_score":0.9997362},"labels":[],"label_agreement":null},{"id":"W2338352338","doi":"10.1111/psyp.12654","title":"40‐Hz oscillations underlying perceptual binding in young and older adults","year":2016,"lang":"en","type":"article","venue":"Psychophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Psychology; Audiology; Monaural; Stimulus (psychology); Sensory system; Perception; QUIET; Magnetoencephalography; Amplitude; Neuroscience; Electroencephalography; Physics; Cognitive psychology; Medicine","score_opus":0.03418296247631666,"score_gpt":0.28959346993173535,"score_spread":0.2554105074554187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2338352338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99724674,0.000006003447,0.00015823355,0.00078489434,0.0007082325,0.00013978398,0.000008064089,0.00003905101,0.00090898835],"genre_scores_gemma":[0.9990889,0.00009027422,0.00002669957,0.00030561746,0.000056121542,0.000013889061,0.0000017673457,0.00001135358,0.00040540658],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99904966,0.000079822166,0.00014685871,0.0004185642,0.00006982353,0.00023528964],"domain_scores_gemma":[0.99953324,0.00022899962,0.00004668092,0.00013566685,0.00001109814,0.00004429376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000047098536,0.00009976291,0.000112714246,0.00012694525,0.0001094471,0.000014839242,0.000081145976,0.00006611361,0.00006653829],"category_scores_gemma":[0.00011119762,0.0000696166,0.000026790332,0.00017995531,0.00011445545,0.00014599152,0.0000382899,0.000086076056,0.0000766581],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060768067,0.000022428505,0.0027903419,0.0000042747047,8.516014e-7,0.0000019160323,0.00018030162,0.000004143755,0.9892127,0.0004072433,0.00004759347,0.0072674733],"study_design_scores_gemma":[0.0033273892,0.00036399148,0.973406,0.00017045267,0.00000662329,0.00007034865,0.00039457856,0.0037339842,0.009321095,0.008482597,0.00022355534,0.0004993787],"about_ca_topic_score_codex":0.000029838306,"about_ca_topic_score_gemma":0.000059387796,"teacher_disagreement_score":0.9798916,"about_ca_system_score_codex":0.000026461812,"about_ca_system_score_gemma":0.000006595556,"threshold_uncertainty_score":0.28388828},"labels":[],"label_agreement":null},{"id":"W2339379004","doi":"10.2139/ssrn.2143215","title":"Neural Random Utility","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Econometrics; Computer science; Mathematics","score_opus":0.01955665885540741,"score_gpt":0.2526096762078794,"score_spread":0.23305301735247197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2339379004","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99109834,0.00050485047,0.0036275673,0.0008497596,0.0012839035,0.00010700279,0.0000016895307,0.00005197173,0.0024749036],"genre_scores_gemma":[0.9969007,0.0005239766,0.0000068554646,0.00053005037,0.0005346947,0.0000024569217,6.572898e-7,0.00001425711,0.00148636],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969494,0.0001845887,0.00019040404,0.00015880536,0.00024889308,0.0022679237],"domain_scores_gemma":[0.9995076,0.00011487711,0.00009852251,0.00013154939,0.000020873435,0.00012657339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012330697,0.00011869772,0.0001226985,0.00005854843,0.00029199568,0.000053329182,0.0001934036,0.00004347198,0.00007901021],"category_scores_gemma":[0.0002941286,0.00009120506,0.00011918177,0.0001662458,0.00004806375,0.00046012554,0.000033525757,0.0013630459,0.00007718979],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010641352,0.0005342942,0.021349484,0.0000116847,0.00004917029,0.000012999547,0.00024840795,0.000067612265,0.3051991,0.42763793,0.00071168365,0.24311349],"study_design_scores_gemma":[0.013756504,0.001912331,0.03243008,0.000030652438,0.00018590808,0.018946184,0.0011386339,0.038363174,0.058446176,0.77733696,0.055533845,0.0019195434],"about_ca_topic_score_codex":0.000008521198,"about_ca_topic_score_gemma":0.000023504877,"teacher_disagreement_score":0.34969902,"about_ca_system_score_codex":0.00021740141,"about_ca_system_score_gemma":0.00020375306,"threshold_uncertainty_score":0.5921832},"labels":[],"label_agreement":null},{"id":"W2339489175","doi":"10.1038/srep24683","title":"Sight restoration after congenital blindness does not reinstate alpha oscillatory activity in humans","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Canadian Institute for Advanced Research","funders":"Hyderabad Eye Research Foundation; Ögonfonden","keywords":"Alpha (finance); Neuroscience; Audiology; Blindness; Electroencephalography; Period (music); Neuroplasticity; Psychology; Medicine; Developmental psychology; Physics","score_opus":0.024103656507615444,"score_gpt":0.2529389661311387,"score_spread":0.22883530962352325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2339489175","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.986495,0.0000042831903,0.00013317801,0.00047487844,0.011849259,0.00030512034,0.000014230644,0.00007495136,0.00064908573],"genre_scores_gemma":[0.9900726,0.0000038876237,0.000010766422,0.00008416772,0.000074811396,0.000039400515,0.0000027964948,0.000015865551,0.009695676],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974638,0.00013944603,0.00038891745,0.0010815592,0.0005901179,0.00033614272],"domain_scores_gemma":[0.9987942,0.00010271742,0.00025186967,0.0006702835,0.0000828787,0.000098061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092929613,0.00015731624,0.00015156648,0.00026809232,0.00026307508,0.00026878345,0.00011762188,0.000073787414,0.00011623665],"category_scores_gemma":[0.00046508104,0.000094178344,0.00007075769,0.00044275832,0.00037761457,0.0007731067,0.00008458116,0.00010987457,0.000054982713],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069675116,0.00005657631,0.0038737524,0.0000066985945,0.0000011509195,0.00061208126,0.00012342894,0.000006814477,0.991849,0.00010460817,0.00017273222,0.0031234603],"study_design_scores_gemma":[0.0002986128,0.00005660085,0.030278768,0.00004053377,0.0000063422294,0.000051094135,0.000013269246,0.0002560122,0.9536885,0.005664938,0.009342611,0.00030269293],"about_ca_topic_score_codex":0.000022488948,"about_ca_topic_score_gemma":0.00044809422,"teacher_disagreement_score":0.0381605,"about_ca_system_score_codex":0.00013155924,"about_ca_system_score_gemma":0.000102127604,"threshold_uncertainty_score":0.38404813},"labels":[],"label_agreement":null},{"id":"W2340187570","doi":"10.3389/fnhum.2016.00179","title":"Editorial: Perceiving and Acting in the Real World: From Neural Activity to Behavior","year":2016,"lang":"en","type":"editorial","venue":"Frontiers in Human Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Canadian Institutes of Health Research; Ministero dell’Istruzione, dell’Università e della Ricerca; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Hum; Neuroscience; Psychology; Cognition; Cognitive psychology; Cognitive science; Art; Art history","score_opus":0.02246888376490922,"score_gpt":0.30530757343718135,"score_spread":0.2828386896722721,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2340187570","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22795154,0.0000046766904,0.00014089198,0.00018148927,0.7707125,0.0006318011,0.00013073496,0.000056464043,0.00018992535],"genre_scores_gemma":[0.28364998,0.00007503698,0.000052563508,0.00030370854,0.71506387,0.00015043221,0.0000062599197,0.000060490744,0.0006376311],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9945531,0.0006810232,0.0004773839,0.001883424,0.001574635,0.0008304295],"domain_scores_gemma":[0.9972554,0.001524849,0.00030794108,0.00070795696,0.000041950752,0.00016192625],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000871421,0.0004988973,0.00053105876,0.00074930396,0.00057820196,0.0006334789,0.0015961464,0.00034082556,0.000005254504],"category_scores_gemma":[0.0032364223,0.00037330028,0.00009224935,0.0010873905,0.00043513725,0.00076254265,0.00048737158,0.0018093629,0.0000014466099],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008166147,0.0001035214,0.0038160863,0.000015263373,4.7722375e-7,0.0000961841,0.00058698957,0.00003642265,0.20385389,0.000013256619,0.7863152,0.005081035],"study_design_scores_gemma":[0.0019624738,0.0008019244,0.09191561,0.0005533543,0.000065491506,0.000007440289,0.00020179187,0.00419796,0.0019766267,0.0010597297,0.8949822,0.0022753745],"about_ca_topic_score_codex":0.0009877504,"about_ca_topic_score_gemma":0.0011136861,"teacher_disagreement_score":0.20187725,"about_ca_system_score_codex":0.00030567992,"about_ca_system_score_gemma":0.00010702994,"threshold_uncertainty_score":0.9998719},"labels":[],"label_agreement":null},{"id":"W2340456569","doi":"10.1186/s13408-016-0036-y","title":"Stochastic Network Models in Neuroscience: A Festschrift for Jack Cowan. Introduction to the Special Issue","year":2016,"lang":"en","type":"editorial","venue":"The Journal of Mathematical Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Division of Mathematical Sciences; Banff International Research Station for Mathematical Innovation and Discovery","keywords":"Computer science; Cognitive science; Computational neuroscience; Neuroscience; Operations research; Data science; Artificial intelligence; Psychology; Engineering","score_opus":0.026489998511642316,"score_gpt":0.2922955137140962,"score_spread":0.2658055152024539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2340456569","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012409013,0.000021218959,0.12643066,0.025579084,0.8446191,0.0017070052,0.00008308373,0.0000301314,0.0002888353],"genre_scores_gemma":[0.008960886,0.00013734166,0.00019354181,0.0023506947,0.98609275,0.000046328805,7.294097e-7,0.000075756114,0.0021420037],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9939842,0.00063789746,0.0012557762,0.0007731397,0.0024166512,0.00093230425],"domain_scores_gemma":[0.99138856,0.0062301788,0.0010207794,0.00078226934,0.0003190248,0.00025918416],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0046520075,0.00046195465,0.00070340314,0.00025845636,0.000673521,0.00035902302,0.0029622323,0.00023093876,0.000033753804],"category_scores_gemma":[0.026141124,0.00022340124,0.0002496225,0.0012830659,0.00078077405,0.00061682775,0.00042107992,0.0014500989,0.000045977205],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041359328,0.00012125735,9.7963785e-8,0.00004442773,0.0000010750509,0.000013605994,0.00019640075,0.057309125,0.01645991,0.004125754,0.92031443,0.001000322],"study_design_scores_gemma":[0.0007632912,0.0016621591,0.000010596509,0.00038691756,0.00008309482,0.00036936684,0.000034475055,0.06972131,0.00039373286,0.060340427,0.86574405,0.00049055606],"about_ca_topic_score_codex":0.0000017569267,"about_ca_topic_score_gemma":0.0000073123833,"teacher_disagreement_score":0.14147364,"about_ca_system_score_codex":0.000115807554,"about_ca_system_score_gemma":0.00037251008,"threshold_uncertainty_score":0.9820621},"labels":[],"label_agreement":null},{"id":"W2340608709","doi":"10.1038/ncomms11353","title":"Temporal decorrelation by SK channels enables efficient neural coding and perception of natural stimuli","year":2016,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Perception; Sensory system; Stimulus (psychology); Computer science; Neural coding; Neuroscience; Sensory Adaptation; Biology; Artificial intelligence; Psychology; Cognitive psychology","score_opus":0.027335161848995794,"score_gpt":0.2905625816834089,"score_spread":0.2632274198344131,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2340608709","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99296933,0.00042753696,0.0006686611,0.004904821,0.00044617234,0.00023882597,0.000057875295,0.00006443275,0.00022236144],"genre_scores_gemma":[0.9986834,0.00041316493,0.0002870924,0.0002688185,0.000024636123,0.000012452685,0.000040756142,0.000012154766,0.0002575532],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906385,0.00016125706,0.00021365937,0.0002358919,0.0001780754,0.0001472802],"domain_scores_gemma":[0.99857837,0.00063038804,0.00015112734,0.0005245821,0.00006818596,0.000047361562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001519431,0.000112858484,0.00011579889,0.00010885364,0.00029955056,0.000035992827,0.0003603317,0.00013381978,0.00001165814],"category_scores_gemma":[0.00052688626,0.00007973888,0.000044040917,0.0002479754,0.00020759933,0.00021758309,0.00018614548,0.00035308805,0.000007047302],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002460174,0.00007656217,0.0021270537,0.0000072156145,0.0000029704768,2.6271437e-7,0.0001237514,0.00012950036,0.98255485,0.0035194035,0.000929271,0.010504552],"study_design_scores_gemma":[0.0023758132,0.000359432,0.06866527,0.00027416862,0.00007588246,0.00008160619,0.0003197079,0.85628605,0.049890053,0.0011001654,0.019708479,0.0008633939],"about_ca_topic_score_codex":0.000019046805,"about_ca_topic_score_gemma":0.000023816,"teacher_disagreement_score":0.9326648,"about_ca_system_score_codex":0.000047431593,"about_ca_system_score_gemma":0.000011972632,"threshold_uncertainty_score":0.3251657},"labels":[],"label_agreement":null},{"id":"W2340852661","doi":"10.1068/ic821","title":"Functionally-Specific Changes in Sensorimotor Networks following Motor Learning","year":2011,"lang":"en","type":"article","venue":"i-Perception","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Motor learning; Perceptual learning; Neuroscience; Sensory system; Psychology; Somatosensory system; Perception; Premotor cortex; Biology; Dorsum","score_opus":0.05001200187748704,"score_gpt":0.2374366116020228,"score_spread":0.18742460972453578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2340852661","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991611,0.00001280371,0.0027778235,0.00012442408,0.0018198269,0.00024291092,0.0000018619886,0.00016014144,0.003249202],"genre_scores_gemma":[0.99722403,0.00012460213,0.00021777602,0.00039316237,0.0003900428,0.000036615525,0.000010667888,0.00002819705,0.0015748966],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986819,0.00015186028,0.0001845001,0.0004499963,0.00022746835,0.00030425377],"domain_scores_gemma":[0.99962705,0.00007513301,0.00007043479,0.00014738733,0.000018942117,0.00006107575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002167188,0.00015359766,0.00013631898,0.00017456841,0.00018517602,0.00004479537,0.000105360334,0.00010985875,0.0005910723],"category_scores_gemma":[0.00007717619,0.00014967816,0.000088857334,0.0002982334,0.000034413075,0.0002483859,0.000038003476,0.00032122643,0.00018579474],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012351443,0.000075435775,0.008551149,0.0000057773927,0.0000026673952,0.00003354743,0.00046486736,0.0006478782,0.96028817,0.00033652203,0.0001325358,0.02933794],"study_design_scores_gemma":[0.0012670743,0.0008284526,0.8606207,0.00009436724,0.000019942574,0.00005197147,0.00084409205,0.11802346,0.0039999364,0.00059598405,0.012870282,0.0007837534],"about_ca_topic_score_codex":0.000039867624,"about_ca_topic_score_gemma":0.000047098303,"teacher_disagreement_score":0.9562882,"about_ca_system_score_codex":0.00012121808,"about_ca_system_score_gemma":0.0000070929495,"threshold_uncertainty_score":0.6471827},"labels":[],"label_agreement":null},{"id":"W2342502044","doi":"10.1152/jn.00029.2016","title":"Tactile length contraction as Bayesian inference","year":2016,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada; McMaster University","keywords":"Illusion; Percept; Stimulus (psychology); Inference; Perception; Bayesian probability; Contraction (grammar); Bayesian inference; Artificial intelligence; Psychology; Length contraction; Segmentation; Psychophysics; Computer science; Pattern recognition (psychology); Cognitive psychology; Neuroscience; Physics; Biology","score_opus":0.022782218604633604,"score_gpt":0.2754310471531577,"score_spread":0.2526488285485241,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2342502044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939991,0.0000021921571,0.001502731,0.0019135714,0.0017481882,0.000053375694,0.0000030431654,0.000017894992,0.00075990375],"genre_scores_gemma":[0.9974639,0.00021256239,0.000023940873,0.0015295813,0.00032227766,0.0000010266755,1.0872189e-7,0.000012281434,0.00043436073],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989505,0.00019409403,0.0003106296,0.00018799999,0.0001678405,0.00018896964],"domain_scores_gemma":[0.9985069,0.00077866705,0.00039641352,0.00013915806,0.000090140886,0.00008868798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000037311063,0.000105657185,0.00019833593,0.00011088582,0.00007481874,0.000018966022,0.00019459109,0.00005500997,0.00016211711],"category_scores_gemma":[0.0014558937,0.00006165141,0.000099436926,0.00011376057,0.000090212525,0.00036806156,0.000032806936,0.00021888778,0.00011096797],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020739312,0.000052172454,0.000022838003,0.0000021178387,0.0000031139496,0.00011581401,0.0000066908196,0.000052874337,0.98351234,0.0017092699,0.00009673112,0.014218618],"study_design_scores_gemma":[0.0036140913,0.009968224,0.0625576,0.000118681615,0.00006123646,0.004185861,0.00002619341,0.0028524094,0.81293064,0.047509894,0.055555344,0.0006198162],"about_ca_topic_score_codex":0.0000032458822,"about_ca_topic_score_gemma":3.7316127e-7,"teacher_disagreement_score":0.17058173,"about_ca_system_score_codex":0.000028423503,"about_ca_system_score_gemma":0.00005003053,"threshold_uncertainty_score":0.25140715},"labels":[],"label_agreement":null},{"id":"W2344667183","doi":"10.1038/nn.4292","title":"Neocortex: a lean mean memory storage machine","year":2016,"lang":"en","type":"review","venue":"Nature Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre; Montreal General Hospital","funders":"Biotechnology and Biological Sciences Research Council; Canadian Institutes of Health Research","keywords":"Neocortex; Neuroscience; Computer science; Neuroscientist; Psychology; Central nervous system","score_opus":0.03623116500797474,"score_gpt":0.3197294203929445,"score_spread":0.28349825538496976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2344667183","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00006621264,0.9841662,0.0001446919,0.00023080243,0.009902989,0.0013134553,0.00034888263,0.00042990054,0.0033968498],"genre_scores_gemma":[0.0010313953,0.98564476,0.000017151553,0.0038872326,0.0005041444,0.000062225954,0.000008328448,0.00012594718,0.008718818],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99450153,0.00038087263,0.0006677368,0.0023495012,0.0011933567,0.000906977],"domain_scores_gemma":[0.99696815,0.0007266884,0.0006640542,0.0012515151,0.000052769446,0.00033681904],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0004391076,0.00086317654,0.001285987,0.00052132196,0.00052100176,0.00025291718,0.002113524,0.00078539806,0.000081454236],"category_scores_gemma":[0.0019798563,0.00054676464,0.00064622465,0.0017260137,0.00049836334,0.0004792775,0.0005207423,0.002748138,0.000325706],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008159426,0.000070406175,3.3068116e-7,0.0011685789,0.0000019207796,0.0003581737,0.000013131424,0.0000024888784,0.0056164423,0.0026882128,0.001244465,0.9888277],"study_design_scores_gemma":[0.00014680637,0.00013236966,0.0000026147302,0.001720182,0.00005981604,0.0005878511,6.375174e-7,0.00030497028,0.00016772543,0.0002210502,0.996028,0.0006279688],"about_ca_topic_score_codex":0.000004129862,"about_ca_topic_score_gemma":0.000006870973,"teacher_disagreement_score":0.9947835,"about_ca_system_score_codex":0.00019441516,"about_ca_system_score_gemma":0.00033987098,"threshold_uncertainty_score":0.9996984},"labels":[],"label_agreement":null},{"id":"W2344676842","doi":"10.1101/014720","title":"A literature-based meta-analysis of brain-wide electrophysiological diversity","year":2015,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institute on Deafness and Other Communication Disorders; National Institute of Mental Health; National Science Foundation","keywords":"Neuroscience; Electrophysiology; Olfactory bulb; Neuron; Computer science; Biology","score_opus":0.05866983286534967,"score_gpt":0.24567845692590315,"score_spread":0.18700862406055346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2344676842","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945674,0.00049867487,0.0014549581,0.0010728341,0.00048205347,0.0005705478,0.0010660429,0.00027694466,0.000010566695],"genre_scores_gemma":[0.99621445,0.000037601254,0.0005346173,0.0030208167,0.00007851382,0.00005610404,0.0000015815768,0.000043828662,0.000012495646],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99614745,0.0005895793,0.0005458505,0.001464358,0.0007502148,0.0005025542],"domain_scores_gemma":[0.9962459,0.0007877342,0.0006972491,0.0013777321,0.000619356,0.00027200533],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00068482815,0.00058359397,0.0016522562,0.0007110442,0.00022836377,0.00017770178,0.0009198848,0.0005071099,0.000089268964],"category_scores_gemma":[0.0023801278,0.00048264602,0.0015766865,0.0024689024,0.00020407516,0.0001398587,0.0011593263,0.0008911596,0.000016395894],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013810102,0.00022295823,0.00050501816,0.00010391378,0.006865354,0.0000775424,0.000005037661,0.0029155551,0.98767215,0.00089748704,0.00059669575,1.6445662e-7],"study_design_scores_gemma":[0.00079420005,0.0005923617,0.03475944,0.000053931788,0.09323637,1.453098e-8,7.560286e-7,0.028906548,0.8381314,0.00008849969,0.0016552303,0.0017812408],"about_ca_topic_score_codex":0.00003777946,"about_ca_topic_score_gemma":0.0000022659763,"teacher_disagreement_score":0.14954077,"about_ca_system_score_codex":0.00018880033,"about_ca_system_score_gemma":0.0002852813,"threshold_uncertainty_score":0.99976254},"labels":[],"label_agreement":null},{"id":"W2344761763","doi":"10.1007/978-3-319-26911-5_3","title":"Population and Subpopulation Models","year":2016,"lang":"en","type":"book-chapter","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Subthreshold conduction; Population; Neuron; Biological neuron model; Noise (video); Function (biology); Facilitation; Statistical physics; Computer science; Biological system; Physics; Neuroscience; Biology; Artificial intelligence; Evolutionary biology; Demography","score_opus":0.05297682992894933,"score_gpt":0.23851996818937954,"score_spread":0.1855431382604302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2344761763","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0035806708,0.000019296614,0.0022689444,0.00040019472,0.00042566797,0.00025585433,0.000027739905,0.00012700679,0.99289465],"genre_scores_gemma":[0.37950584,0.0001065901,0.000026257278,0.00028324802,0.00009483698,0.0000018281473,0.000014122788,0.000025741978,0.61994153],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991681,0.000009389816,0.00016568994,0.00037565324,0.00018162747,0.00009953806],"domain_scores_gemma":[0.99961615,0.000060583163,0.000111356225,0.00015076905,0.00001693381,0.00004420624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004156162,0.0001568807,0.00013690126,0.00009435965,0.00008036728,0.0000385209,0.000048746984,0.00015622706,0.00019145689],"category_scores_gemma":[0.000020552696,0.00011286855,0.000042275828,0.000010637877,0.000028706021,0.00023938598,0.000040497278,0.000087396205,0.000056828336],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008527193,0.0000014850588,0.000015140235,0.000006997371,0.0000010168097,0.0000018382793,0.0000022865124,0.000018133707,0.0038466114,0.975772,0.00010126656,0.020224646],"study_design_scores_gemma":[0.0001376956,0.000039077975,0.00026949254,0.00004741013,0.0000117478285,0.000016746291,1.8862184e-7,0.015341695,0.00023361194,0.9770611,0.0065893806,0.0002518525],"about_ca_topic_score_codex":0.00001318655,"about_ca_topic_score_gemma":0.000022089182,"teacher_disagreement_score":0.37592518,"about_ca_system_score_codex":0.000033492943,"about_ca_system_score_gemma":0.0000045750326,"threshold_uncertainty_score":0.46026456},"labels":[],"label_agreement":null},{"id":"W2346968374","doi":"10.1111/ejn.13266","title":"Temporal cuing modulates alpha oscillations during auditory attentional blink","year":2016,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Baycrest Hospital","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Attentional blink; Cued speech; Psychology; Event-related potential; Neuroscience; Selective attention; Audiology; Electroencephalography; Cognitive psychology; Perception; Cognition; Medicine","score_opus":0.037487198669058724,"score_gpt":0.24766784112654672,"score_spread":0.210180642457488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2346968374","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9890828,0.0000107001415,0.004523509,0.0018980673,0.0034355097,0.00006915606,0.000010715869,0.000048309976,0.0009212416],"genre_scores_gemma":[0.9969997,0.0000566132,0.00016977095,0.00048310813,0.00065344915,4.1184947e-7,1.5215794e-7,0.000027405727,0.0016094125],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99759763,0.0004303773,0.0005599327,0.00040067377,0.0006812913,0.00033008316],"domain_scores_gemma":[0.9987139,0.0001962221,0.0005498275,0.00021931535,0.00012042423,0.00020029636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006533258,0.00016451525,0.00015557496,0.00027808736,0.00044491584,0.000136983,0.0005895699,0.00001614265,0.000037468868],"category_scores_gemma":[0.0012827488,0.00010881747,0.0001578105,0.00044475615,0.00030911656,0.0010152239,0.0001489889,0.00021895024,0.00007465234],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024734283,0.0000388399,0.0015873674,0.0000037893299,8.3881724e-7,0.0002824115,0.000018761008,0.00034269245,0.9954902,0.00022457103,0.00019730779,0.0017885148],"study_design_scores_gemma":[0.0015666243,0.00063260493,0.9066188,0.00021525133,0.000015814607,0.0022660994,0.000013891925,0.0025677118,0.070491955,0.00053343206,0.014646727,0.00043108643],"about_ca_topic_score_codex":3.5301142e-7,"about_ca_topic_score_gemma":2.5505938e-7,"teacher_disagreement_score":0.9249982,"about_ca_system_score_codex":0.00005213476,"about_ca_system_score_gemma":0.000052491025,"threshold_uncertainty_score":0.44374475},"labels":[],"label_agreement":null},{"id":"W2349985095","doi":"10.1016/j.neurobiolaging.2016.05.006","title":"Altered temporal dynamics of neural adaptation in the aging human auditory cortex","year":2016,"lang":"en","type":"article","venue":"Neurobiology of Aging","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":71,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research; Max-Planck-Gesellschaft","keywords":"Auditory cortex; Neural adaptation; Context (archaeology); Neuroscience; Psychology; Audiology; Temporal cortex; Adaptation (eye); Electroencephalography; Auditory perception; Cognition; Perception; Hearing loss; Biology; Medicine","score_opus":0.03331107670465123,"score_gpt":0.26695843567405064,"score_spread":0.23364735896939942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2349985095","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99695194,0.000005152498,0.00023879723,0.0016370541,0.000792462,0.00014474518,0.000015763377,0.000023190752,0.0001909234],"genre_scores_gemma":[0.9993614,0.000011096557,0.00002088075,0.000430322,0.000084044535,0.0000045960724,0.000007862003,0.000010954001,0.00006883788],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987179,0.00033383167,0.00034040172,0.00029347534,0.00010886291,0.00020553639],"domain_scores_gemma":[0.99897593,0.00047789264,0.00027966348,0.00022191399,0.000027257187,0.000017347853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002294696,0.000113345384,0.00017678227,0.00014299182,0.00007939739,0.0000071374307,0.00028506215,0.000048330614,0.000011462861],"category_scores_gemma":[0.00010378096,0.00007042356,0.000061407634,0.00018084043,0.0002637738,0.00013083439,0.000057344012,0.00015041024,0.0000020624593],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017651364,0.000042015963,0.015195357,0.0000202828,0.0000018040322,0.0000065079685,0.000197748,0.00018426181,0.9798603,0.0020035235,0.000060627553,0.0024099338],"study_design_scores_gemma":[0.0029650507,0.0015317852,0.803967,0.00030189598,0.00004109319,0.00014766665,0.00057071145,0.058008425,0.12583902,0.0056718225,0.00033670382,0.0006187927],"about_ca_topic_score_codex":0.00005096794,"about_ca_topic_score_gemma":0.000156202,"teacher_disagreement_score":0.85402125,"about_ca_system_score_codex":0.000023825572,"about_ca_system_score_gemma":0.000015274776,"threshold_uncertainty_score":0.28717893},"labels":[],"label_agreement":null},{"id":"W2380220194","doi":"10.1523/jneurosci.0236-16.2016","title":"Shaping Intrinsic Neural Oscillations with Periodic Stimulation","year":2016,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":177,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Deutsche Forschungsgemeinschaft; European Commission","keywords":"Neuroscience; Stimulation; Entrainment (biomusicology); Transcranial alternating current stimulation; Rhythm; Biological neural network; Brain stimulation; Transcranial magnetic stimulation; Arousal; Population; Psychology; Physics; Medicine","score_opus":0.056277950890177786,"score_gpt":0.2756653249918635,"score_spread":0.21938737410168574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2380220194","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9884844,0.000007380081,0.007585126,0.0026797927,0.00092782837,0.000093434144,0.0000033189613,0.00002618945,0.00019256165],"genre_scores_gemma":[0.99839276,0.00002918187,0.00012417627,0.0011053629,0.00012751094,9.664944e-7,4.4966527e-8,0.000011062736,0.00020892499],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99849534,0.000089957866,0.00032868143,0.0002667409,0.0005824589,0.00023681071],"domain_scores_gemma":[0.99893457,0.00026268425,0.00039295727,0.00015671119,0.00012523547,0.00012781653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019844659,0.000118143624,0.00014302328,0.0002279454,0.0002712534,0.00012487498,0.000297552,0.000025199945,0.000019164207],"category_scores_gemma":[0.0009886032,0.000063990854,0.00006434001,0.00059921463,0.00025704643,0.0010929502,0.000046996745,0.00014972713,0.000007655209],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058890168,0.000027519929,0.0031548114,0.0000023917012,3.713508e-7,0.000055006072,0.000029428367,0.0013812868,0.98292345,0.00052681647,0.00003609489,0.011803964],"study_design_scores_gemma":[0.0035438335,0.004858495,0.78950113,0.00031562947,0.000051183248,0.0063236975,0.000044320648,0.076068,0.10683854,0.0020814037,0.009575413,0.00079836673],"about_ca_topic_score_codex":9.614673e-7,"about_ca_topic_score_gemma":0.0000014397767,"teacher_disagreement_score":0.87608486,"about_ca_system_score_codex":0.000052901047,"about_ca_system_score_gemma":0.00008203259,"threshold_uncertainty_score":0.26094714},"labels":[],"label_agreement":null},{"id":"W239382006","doi":"10.1093/czoolo/61.2.242","title":"Cross inhibition improves activity selection when switching incurs time costs","year":2015,"lang":"en","type":"article","venue":"Current Zoology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institut National de la Recherche Agronomique; Alberta Innovates - Health Solutions","keywords":"Deadlock; Selection (genetic algorithm); Computer science; Process (computing); Psychology; Microeconomics; Economics; Artificial intelligence; Distributed computing","score_opus":0.04553801575175797,"score_gpt":0.30992850041861364,"score_spread":0.26439048466685566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W239382006","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99300987,0.000023139568,0.0032341946,0.00037060204,0.0023921102,0.00021227977,0.000007865303,0.00015748396,0.0005924318],"genre_scores_gemma":[0.9991161,0.000007526121,0.000034587436,0.00018334188,0.00023544874,0.000019942252,0.000011299501,0.000014945068,0.00037677772],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99873567,0.0001957341,0.00016037386,0.00043603173,0.00017966282,0.00029254486],"domain_scores_gemma":[0.99943864,0.00011073137,0.00013646457,0.00013045354,0.000071329225,0.00011236291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023287177,0.00014275422,0.00014636526,0.000105869396,0.00016480651,0.000083589344,0.00009618128,0.00009393994,0.00003682184],"category_scores_gemma":[0.0005062184,0.00013342552,0.000048451984,0.00018174975,0.00007810094,0.00045970458,0.00009711781,0.00031864727,0.0002582412],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011030588,0.000120083096,0.0018359565,0.000010216875,0.0000018257256,0.0000030743215,0.000083694766,0.000043414344,0.90957266,0.0010594634,0.00069653644,0.086462796],"study_design_scores_gemma":[0.0033706306,0.0015577072,0.03962129,0.00007444043,0.00004716767,0.00033943134,0.000023559898,0.14655991,0.7560197,0.038492803,0.012839805,0.0010535314],"about_ca_topic_score_codex":0.00003846792,"about_ca_topic_score_gemma":0.000022568005,"teacher_disagreement_score":0.1535529,"about_ca_system_score_codex":0.00019838502,"about_ca_system_score_gemma":0.000059206668,"threshold_uncertainty_score":0.5440935},"labels":[],"label_agreement":null},{"id":"W2395680518","doi":"10.1523/jneurosci.0230-16.2016","title":"Similarity in Neuronal Firing Regimes across Mammalian Species","year":2016,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":103,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Institute of Mental Health; National Institute of Dental and Craniofacial Research; RIKEN; Japan Science and Technology Agency; Agence Nationale de la Recherche; Institute for Basic Science; Ministry of Internal Affairs and Communications; Centre National de la Recherche Scientifique; Iran Telecommunication Research Center; Bundesministerium für Bildung und Forschung; Japan Society for the Promotion of Science; Core Research for Evolutional Science and Technology; Ministry of Education, Culture, Sports, Science and Technology; Deutsche Forschungsgemeinschaft; National Institute of Information and Communications Technology; Naito Foundation","keywords":"Neuroscience; Bursting; Biology; Spike (software development); CATS; Hippocampus; Similarity (geometry); Computer science; Artificial intelligence","score_opus":0.058312294211098764,"score_gpt":0.29399559395931013,"score_spread":0.23568329974821137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2395680518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916248,0.000009192355,0.00050836377,0.005452419,0.0018070741,0.00006601146,0.000010975284,0.000015676078,0.00050554296],"genre_scores_gemma":[0.9959626,0.00010462705,0.000046380104,0.0017828293,0.00014762432,8.300969e-7,2.3830417e-8,0.0000111967365,0.0019438541],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99796826,0.00014125505,0.00046568795,0.00035924272,0.0006273648,0.00043819775],"domain_scores_gemma":[0.9988745,0.00036052498,0.00036226213,0.00020357908,0.000058755202,0.00014037534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049326365,0.00014335448,0.00020210214,0.00016040799,0.00016957642,0.00012884208,0.0006370333,0.000040419814,0.000019748522],"category_scores_gemma":[0.0022806635,0.00009049773,0.0001084674,0.00055592455,0.00034920074,0.0009875551,0.00015215937,0.0002854298,0.00000852792],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052741438,0.000058831938,0.007153805,0.0000042823867,1.6542447e-7,0.0002688567,0.00004584862,0.00008272366,0.98759943,0.0006474166,0.00021575023,0.0038701335],"study_design_scores_gemma":[0.0009997927,0.000649167,0.6895817,0.00010861543,0.0000035291985,0.0010641463,0.000026935351,0.00091321126,0.2813126,0.0023078015,0.022757087,0.00027540978],"about_ca_topic_score_codex":0.0000018263116,"about_ca_topic_score_gemma":0.000007963464,"teacher_disagreement_score":0.70628685,"about_ca_system_score_codex":0.000064428765,"about_ca_system_score_gemma":0.000060513437,"threshold_uncertainty_score":0.36903903},"labels":[],"label_agreement":null},{"id":"W2397025594","doi":"10.12688/f1000research.8809.1","title":"The referential brain: why do some neurons learn and some do not?","year":2016,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Neuroscience; Open peer review; Adaptation (eye); Neuroplasticity; Biology; Plant biology; Structural plasticity; Functional organization; Cortex (anatomy); Psychology","score_opus":0.07720179888331515,"score_gpt":0.33376968290992526,"score_spread":0.2565678840266101,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2397025594","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7906538,0.0009302624,0.00016265684,0.19179845,0.0066666873,0.0024272883,0.0006350365,0.00040370744,0.0063221105],"genre_scores_gemma":[0.94126886,0.005695573,0.000008839137,0.003945381,0.0019015265,0.00020038933,0.000019194898,0.00014493332,0.046815302],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99487513,0.0008549052,0.00039553316,0.0014133663,0.0014899779,0.00097109604],"domain_scores_gemma":[0.99511427,0.0030517988,0.00015818817,0.0012594243,0.00012384179,0.00029250365],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0011988216,0.00037801173,0.00031431366,0.00026987641,0.0010140555,0.0014620511,0.0014144059,0.00034356842,0.0001651728],"category_scores_gemma":[0.0024192627,0.00023540476,0.0001803122,0.0001937447,0.00081444246,0.00034114317,0.0039927,0.0022539985,0.00030960637],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007926134,0.00014811706,0.00020835198,0.000309172,0.00004346872,0.0001719084,0.00017820799,0.000046284225,0.5580194,0.2627363,0.09770466,0.07964152],"study_design_scores_gemma":[0.0015035229,0.0006525097,0.0049083335,0.00034380698,0.000033165135,0.000085375344,0.00005423174,0.0040040268,0.031660683,0.43048236,0.52510864,0.0011633305],"about_ca_topic_score_codex":0.00005695166,"about_ca_topic_score_gemma":0.000024664387,"teacher_disagreement_score":0.5263587,"about_ca_system_score_codex":0.00009428576,"about_ca_system_score_gemma":0.00022895327,"threshold_uncertainty_score":0.99957454},"labels":[],"label_agreement":null},{"id":"W2397643408","doi":"10.7554/elife.28728","title":"Efficient and accurate extraction of in vivo calcium signals from microendoscopic video data","year":2018,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":832,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Army Research Office; Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Biomedical Imaging and Bioengineering; National Institute of Neurological Disorders and Stroke; National Institute on Aging; New York State Stem Cell Science; Canadian Institutes of Health Research; Intelligence Advanced Research Projects Activity; Defense Advanced Research Projects Agency; International Mental Health Research Organization; National Institute of Mental Health; Hope for Depression Research Foundation; Simons Foundation; National Institute on Drug Abuse; Howard Hughes Medical Institute","keywords":"Non-negative matrix factorization; Computer science; Calcium imaging; In vivo; Artificial intelligence; Pattern recognition (psychology); Matrix decomposition; Matrix (chemical analysis); Computer vision; Calcium; Biology; Chemistry; Physics","score_opus":0.0748190571938661,"score_gpt":0.33037469894196475,"score_spread":0.25555564174809864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2397643408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979889,0.000035696976,0.0008178635,0.0002060893,0.00049904524,0.00012325835,0.00013716982,0.000016745322,0.00017526066],"genre_scores_gemma":[0.99919254,0.00002499325,0.00011297421,0.0004445064,0.000111544054,0.0000022686947,0.000006218693,0.0000071815894,0.000097803684],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990883,0.00006711703,0.00019610423,0.0003562681,0.0001602428,0.00013197688],"domain_scores_gemma":[0.99931914,0.00021650456,0.00009655383,0.0003046883,0.000024222272,0.000038881753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012028215,0.00007560764,0.00010992837,0.000063391315,0.00005049726,0.000026918246,0.00014205281,0.00003200809,0.00009465631],"category_scores_gemma":[0.0003103929,0.000066719374,0.000011359573,0.00015748147,0.000089924535,0.00010502253,0.00013615486,0.000077466655,0.00002160994],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035871868,0.00003957105,0.00080115715,0.0000047256026,0.0000010347653,0.0000054578027,0.00004701747,0.00006355161,0.99796474,0.000032180975,0.0005536713,0.00045100026],"study_design_scores_gemma":[0.00031017017,0.00007262152,0.010312378,0.000028496332,0.000004805925,0.0000049813057,0.000016245282,0.07216563,0.91527516,0.000052156855,0.0016876555,0.00006971812],"about_ca_topic_score_codex":0.00026446205,"about_ca_topic_score_gemma":0.000094348514,"teacher_disagreement_score":0.08268962,"about_ca_system_score_codex":0.000013491999,"about_ca_system_score_gemma":0.000015117793,"threshold_uncertainty_score":0.27207372},"labels":[],"label_agreement":null},{"id":"W2398429171","doi":"","title":"Rhythmic neuronal synchronization in visual cortex entails spatial phase relation diversity that is modulated by stimulation and attention","year":2013,"lang":"en","type":"article","venue":"DSpace@MIT (Massachusetts Institute of Technology)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Local field potential; Stimulus (psychology); Neuroscience; Rhythm; Visual cortex; Phase synchronization; Stimulation; Phase (matter); Psychology; Communication; Physics; Cognitive psychology","score_opus":0.014756851746671556,"score_gpt":0.24816709801652959,"score_spread":0.23341024626985804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2398429171","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9837783,0.000028251901,0.012555412,0.002127952,0.00042797957,0.0007909021,0.000059606056,0.00018579575,0.000045793633],"genre_scores_gemma":[0.9993363,0.000071365954,0.00016057423,0.0001589569,0.00001936823,0.000021066018,0.000100828,0.000018670153,0.0001128589],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983256,0.000057605834,0.00035072985,0.00061366055,0.00036430155,0.00028812286],"domain_scores_gemma":[0.99924505,0.000034737444,0.00033838136,0.00023943212,0.00008199572,0.000060387345],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009493648,0.00023610034,0.0002543843,0.00059331564,0.00028779887,0.000050783536,0.00017116268,0.00033831203,0.00005958658],"category_scores_gemma":[0.00019003086,0.00024911624,0.00005158826,0.00072310615,0.00031708612,0.0011671489,0.0002596777,0.00030643778,0.000020508916],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000793885,0.00031707936,0.10858393,0.00003371622,0.000016073278,0.000011664322,0.000074227035,0.00062598754,0.84664613,0.00038008112,0.0002980664,0.04293364],"study_design_scores_gemma":[0.004528158,0.000685731,0.3429361,0.00010179578,0.000068450994,0.000032753556,0.000039155744,0.5734599,0.075106025,0.0019248554,0.0006055001,0.00051155867],"about_ca_topic_score_codex":0.0002702298,"about_ca_topic_score_gemma":0.00005544802,"teacher_disagreement_score":0.7715401,"about_ca_system_score_codex":0.00015083645,"about_ca_system_score_gemma":0.000026127864,"threshold_uncertainty_score":0.9999961},"labels":[],"label_agreement":null},{"id":"W2398636571","doi":"10.1088/1742-5468/2016/05/054033","title":"Stochastic facilitation in the brain?","year":2016,"lang":"en","type":"article","venue":"Journal of Statistical Mechanics Theory and Experiment","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Facilitation; Neuroscience; Psychology; Computer science","score_opus":0.02276015172323958,"score_gpt":0.29124759801370376,"score_spread":0.26848744629046417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2398636571","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1966909,0.000042464504,0.80096716,0.0018698424,0.00026061008,0.000097016265,0.0000150827445,0.0000032188875,0.00005371944],"genre_scores_gemma":[0.9988349,0.000019931147,0.00025038767,0.00081909064,0.000033846547,0.0000042255724,1.5848494e-7,0.0000039509173,0.000033496683],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99888587,0.000425532,0.00024322036,0.00010657578,0.00022297683,0.00011581419],"domain_scores_gemma":[0.9963503,0.0034204717,0.00009193942,0.00006634188,0.000022093664,0.000048884707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011277467,0.00006839062,0.00010236742,0.00005158146,0.000057302987,0.00002578216,0.000098575554,0.00002357631,0.000058540394],"category_scores_gemma":[0.0019673272,0.000032049178,0.00002305071,0.000058168534,0.00004524483,0.00010721077,0.000018937159,0.00009450642,0.000005174221],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002067263,0.000043421842,2.9332116e-7,0.00000213813,0.0000013341495,0.000017376806,0.00041566906,0.000006231735,0.300594,0.6896708,0.00005382715,0.008988158],"study_design_scores_gemma":[0.000643413,0.0008559812,0.000049225717,0.000040146624,0.000007012441,0.00013723459,0.00071151165,0.0010152981,0.020464083,0.9757797,0.00022033491,0.000076065015],"about_ca_topic_score_codex":4.1640766e-7,"about_ca_topic_score_gemma":3.0289644e-7,"teacher_disagreement_score":0.802144,"about_ca_system_score_codex":0.000027990174,"about_ca_system_score_gemma":0.00001326644,"threshold_uncertainty_score":0.23552166},"labels":[],"label_agreement":null},{"id":"W2398932318","doi":"","title":"A General Purpose Architecture for Building Spiking Neuron Models of Biological Cognition","year":2013,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Cognitive architecture; Cognition; Python (programming language); Cognitive model; Memorization; Artificial intelligence; Cognitive science; Human–computer interaction; Programming language; Neuroscience","score_opus":0.03789006306705479,"score_gpt":0.2328765135322443,"score_spread":0.19498645046518953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2398932318","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9837748,0.000022045777,0.010949492,0.000556799,0.00016828554,0.00086364365,0.001300494,0.00022851927,0.0021359394],"genre_scores_gemma":[0.9958599,0.000010193283,0.0020564005,0.0013956947,0.00015282932,0.000100479534,0.00020221203,0.000055078905,0.0001671899],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982704,0.000086907545,0.00040512066,0.0005660958,0.00024050991,0.00043094513],"domain_scores_gemma":[0.9990419,0.00035355877,0.00017847649,0.00021698758,0.000038625734,0.00017042088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007774055,0.00025754524,0.00025305242,0.00016120754,0.0001487828,0.00066101627,0.00034190304,0.00013907615,0.000091889866],"category_scores_gemma":[0.00047871415,0.0002046331,0.00021155317,0.00032767377,0.00011666905,0.0026973474,0.00018661174,0.0003038432,0.000087530556],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023118503,0.00021745339,0.0025573666,0.00007346392,0.000009516625,0.000010083395,0.000013351273,0.00074238965,0.9399263,0.018141199,0.00040087567,0.03767676],"study_design_scores_gemma":[0.0011789993,0.00076858554,0.0018042059,0.00012115837,0.000022134558,0.00006358238,0.0000086899645,0.050764494,0.35706142,0.57369274,0.013779653,0.0007343342],"about_ca_topic_score_codex":0.0000015915493,"about_ca_topic_score_gemma":1.31415e-7,"teacher_disagreement_score":0.58286494,"about_ca_system_score_codex":0.000011931771,"about_ca_system_score_gemma":0.000024670228,"threshold_uncertainty_score":0.83446956},"labels":[],"label_agreement":null},{"id":"W2401674152","doi":"10.1152/jn.2000.83.5.2708","title":"Sound-Induced Synchronization of Neural Activity Between and Within Three Auditory Cortical Areas","year":2000,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Stimulus (psychology); Auditory cortex; Correlation; Electrophysiology; Audiology; Stimulation; Electroencephalography; Evoked potential; Psychology; Neuroscience; Chemistry; Communication; Mathematics; Medicine","score_opus":0.033101651652297046,"score_gpt":0.26391390525042513,"score_spread":0.23081225359812807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2401674152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987945,0.0000027679291,0.0001839333,0.00021793511,0.0006731322,0.00007122278,0.0000042073057,0.0000105794825,0.000041709533],"genre_scores_gemma":[0.9992872,0.000022038728,0.000017706589,0.000199054,0.00044142737,5.110701e-7,4.3321202e-7,0.000013604703,0.00001803999],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99880916,0.00026936774,0.00036294942,0.0002027905,0.00019832372,0.00015740913],"domain_scores_gemma":[0.9989381,0.00041669587,0.00036366234,0.00012885744,0.00006551295,0.00008719065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000058860656,0.00011933088,0.0003094182,0.00008377891,0.00009475576,0.000019041043,0.00014622597,0.00007388137,0.000040047173],"category_scores_gemma":[0.00029007182,0.000094196585,0.00007499154,0.00015724245,0.00016964327,0.0002205722,0.00003618538,0.00040760584,0.0000048264255],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025296683,0.000061257175,0.0008669025,0.00001191334,0.0000067542987,0.00003913703,0.000021415692,0.0011724469,0.9875422,0.00008003765,0.000008466156,0.0099364715],"study_design_scores_gemma":[0.0008765937,0.0036635522,0.9187127,0.000023062377,0.00006522922,0.0004466198,0.000005124471,0.041975226,0.029642262,0.0043589603,0.000039669187,0.00019104256],"about_ca_topic_score_codex":0.0000040526384,"about_ca_topic_score_gemma":9.75111e-7,"teacher_disagreement_score":0.9579,"about_ca_system_score_codex":0.000019025128,"about_ca_system_score_gemma":0.000036570797,"threshold_uncertainty_score":0.38412252},"labels":[],"label_agreement":null},{"id":"W2401944115","doi":"","title":"General Instruction Following in a Large-Scale Biologically Plausible Brain Model","year":2013,"lang":"en","type":"article","venue":"Cognitive Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Set (abstract data type); Computer science; Thalamus; Neuroscience; Basal ganglia; Psychology; Programming language","score_opus":0.03215137943135163,"score_gpt":0.28023740049172347,"score_spread":0.24808602106037184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2401944115","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98665774,0.0000031280113,0.007986503,0.00040887023,0.00032184375,0.00034084794,0.000011015207,0.00005944811,0.004210631],"genre_scores_gemma":[0.99564993,0.0000036865988,0.0009891195,0.002711743,0.000031245363,0.000051466144,0.0000021188068,0.000006935981,0.0005537318],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982723,0.00006361979,0.00018352547,0.00066022977,0.0003300478,0.0004902612],"domain_scores_gemma":[0.9995218,0.00013772273,0.00006010995,0.00009486493,0.00007993072,0.00010557866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041969208,0.0001243718,0.00012207376,0.0002254663,0.00034247348,0.00015614196,0.00026604542,0.000051880357,0.000063976455],"category_scores_gemma":[0.0012163026,0.00010182272,0.00005423535,0.0012035925,0.00033981775,0.0010192433,0.00016655121,0.00017739169,0.00011286306],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000986117,0.00005043511,0.0046732803,0.0000017710573,3.8694785e-7,0.0000046041287,0.000118380296,0.00044395975,0.9868813,0.0019273389,0.000023483537,0.005865176],"study_design_scores_gemma":[0.00075933116,0.000117378186,0.04916384,0.000030967538,0.0000023327116,0.000014822304,0.00016223924,0.8608932,0.07870877,0.009898817,0.000022231761,0.00022607484],"about_ca_topic_score_codex":0.000026534883,"about_ca_topic_score_gemma":0.00003392952,"teacher_disagreement_score":0.90817255,"about_ca_system_score_codex":0.00006556136,"about_ca_system_score_gemma":0.000094839335,"threshold_uncertainty_score":0.415221},"labels":[],"label_agreement":null},{"id":"W2402929185","doi":"","title":"Parsing Sequentially Presented Commands in a Large-Scale Biologically Realistic Brain Model","year":2013,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Noun; Verb; Parsing; Artificial intelligence; Natural language processing","score_opus":0.026924581255814286,"score_gpt":0.23560655710979123,"score_spread":0.20868197585397694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2402929185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9727088,0.000017783123,0.0030446213,0.0047370065,0.00013589625,0.0007011641,0.0018240708,0.00039247947,0.016438155],"genre_scores_gemma":[0.9920106,0.000011819511,0.0004499189,0.0049972204,0.000063289895,0.00006161067,0.0004497458,0.00006450775,0.0018913123],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972686,0.00022709295,0.0005816746,0.0007893503,0.0003651747,0.00076808326],"domain_scores_gemma":[0.99868506,0.00041580986,0.00014039146,0.00043034914,0.00003036478,0.00029803193],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00019972741,0.00033763674,0.0003247529,0.00022392884,0.00019856263,0.001521254,0.00058418675,0.00020132319,0.00035089493],"category_scores_gemma":[0.0009618469,0.00028191798,0.00015498316,0.0006774633,0.00014389683,0.0036481381,0.0004128903,0.00060816144,0.0008980474],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008514129,0.0027121457,0.22990692,0.00022603398,0.000036110396,0.0003937425,0.00018976958,0.00649877,0.695053,0.02563756,0.027900677,0.010593868],"study_design_scores_gemma":[0.0030827024,0.00048379583,0.021441603,0.000274446,0.000018598987,0.000089030975,0.00007438255,0.73750746,0.023246024,0.18919015,0.02288775,0.001704052],"about_ca_topic_score_codex":0.000010432409,"about_ca_topic_score_gemma":0.000008691169,"teacher_disagreement_score":0.7310087,"about_ca_system_score_codex":0.000039278202,"about_ca_system_score_gemma":0.000067367015,"threshold_uncertainty_score":0.9999633},"labels":[],"label_agreement":null},{"id":"W2403594978","doi":"10.1016/j.neuroimage.2016.05.023","title":"Untangling the relatedness among correlations, part I: Nonparametric approaches to inter-subject correlation analysis at the group level","year":2016,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":109,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institutes of Health; Asan Institute for Life Sciences, Asan Medical Center","keywords":"Resampling; Nonparametric statistics; Bootstrapping (finance); Correlation; Statistics; Artificial intelligence; Independence (probability theory); Mathematics; Computer science; Permutation (music); Pattern recognition (psychology); Machine learning; Data mining; Econometrics","score_opus":0.12316870770103112,"score_gpt":0.2534985957648446,"score_spread":0.13032988806381351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2403594978","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93131983,0.000015749585,0.061529797,0.0034293311,0.0011539906,0.0005893305,0.000054276195,0.000117208176,0.0017904803],"genre_scores_gemma":[0.9924101,0.000020497037,0.000039959392,0.0009219517,0.00009208909,0.000059138678,0.000012741792,0.000031481453,0.0064120037],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976908,0.00048295266,0.0003778436,0.00069409865,0.0004144008,0.0003398848],"domain_scores_gemma":[0.99681866,0.002105645,0.00022891052,0.00072302215,0.000035605306,0.00008818112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000542024,0.00022137578,0.00019514724,0.00031693486,0.0007402154,0.00016565838,0.0004519246,0.000081279424,0.00010818452],"category_scores_gemma":[0.0015237989,0.000108183034,0.00021227298,0.0031045089,0.00022651345,0.0003539894,0.00025639692,0.00030978548,0.00029294292],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071481825,0.0005695232,0.4551357,0.000034507877,0.00033038887,0.00014617373,0.0020463795,0.048104607,0.3451467,0.015722377,0.013651033,0.11839779],"study_design_scores_gemma":[0.0008542441,0.00031144405,0.71479136,0.00005720139,0.00069411326,0.000066326385,0.00013773977,0.26061273,0.011864194,0.00075711135,0.009144413,0.0007090997],"about_ca_topic_score_codex":0.000043435524,"about_ca_topic_score_gemma":0.00021103019,"teacher_disagreement_score":0.3332825,"about_ca_system_score_codex":0.0001235429,"about_ca_system_score_gemma":0.000013033176,"threshold_uncertainty_score":0.56932133},"labels":[],"label_agreement":null},{"id":"W2404193374","doi":"10.1038/srep16347","title":"Gamma oscillations in V1 are correlated with GABAA receptor density: A multi-modal MEG and Flumazenil-PET study","year":2015,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":103,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Child, Adolescent and Family Mental Health","funders":"Université de Lyon; Canada Research Chairs; Agence Nationale de la Recherche; Academy of Finland; KAUTE-Säätiö","keywords":"Flumazenil; Neuroscience; GABAA receptor; gamma-Aminobutyric acid; GABAergic; Neurochemical; Inhibitory postsynaptic potential; Neurotransmission; Biology; Receptor; Psychology; Medicine; Internal medicine","score_opus":0.044425787574352726,"score_gpt":0.26219753413522956,"score_spread":0.21777174656087683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2404193374","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946855,0.000009321769,0.00009012199,0.0002444707,0.0039593503,0.00073256856,0.0000047366207,0.00008899245,0.00018495985],"genre_scores_gemma":[0.99515176,9.999219e-7,0.000178766,0.000047625254,0.000021709393,0.000021097443,0.000012607276,0.000017381628,0.0045480784],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975359,0.00014332574,0.0003519328,0.0010569463,0.0006165215,0.0002954064],"domain_scores_gemma":[0.99873817,0.000057977126,0.00028833494,0.000533211,0.00017990712,0.00020242043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009716989,0.00016826455,0.00021109331,0.00026848097,0.00031607415,0.00035751332,0.00009181505,0.000041842795,0.000014131083],"category_scores_gemma":[0.00083476194,0.00013404655,0.000028084007,0.0010462597,0.00021088567,0.0003229306,0.00010843179,0.00019057083,0.00002413108],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001880696,0.0010575578,0.7749641,0.000018500778,0.000013272701,0.006218022,0.0028413357,0.0018054099,0.20660476,0.00007067306,0.0051248632,0.00109343],"study_design_scores_gemma":[0.009729285,0.0023188593,0.667333,0.000409326,0.00017512958,0.012650631,0.009368831,0.22734943,0.042013407,0.0032824823,0.022543173,0.0028264138],"about_ca_topic_score_codex":0.00008470272,"about_ca_topic_score_gemma":0.0009545131,"teacher_disagreement_score":0.22554402,"about_ca_system_score_codex":0.00008077642,"about_ca_system_score_gemma":0.00012299477,"threshold_uncertainty_score":0.546626},"labels":[],"label_agreement":null},{"id":"W2405066192","doi":"10.1152/jn.2001.86.4.1884","title":"Focal Synchronization of Ripples (80–200 Hz) in Neocortex and Their Neuronal Correlates","year":2001,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":261,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Neocortex; Neuroscience; Synchronization (alternating current); Psychology; Communication; Computer science","score_opus":0.016462411055163065,"score_gpt":0.2321591261084907,"score_spread":0.21569671505332766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2405066192","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984957,0.000030279884,0.00037523694,0.00037939494,0.00056261255,0.000069749236,0.0000035150908,0.0000062237896,0.00007727921],"genre_scores_gemma":[0.9985892,0.00069949613,0.000017171425,0.0005346279,0.00011246841,6.831958e-7,8.595151e-7,0.000012894772,0.000032553304],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989162,0.00019713126,0.00042232213,0.00018790914,0.00010885178,0.00016756816],"domain_scores_gemma":[0.999095,0.0003478396,0.0003387508,0.0000940393,0.00007211955,0.000052205607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000045423825,0.00011971611,0.00027171944,0.00018133207,0.00004349153,0.000012233465,0.00014516513,0.000060008373,0.000023467912],"category_scores_gemma":[0.00035727295,0.000087889464,0.000059779326,0.00031812413,0.00015269613,0.00016363306,0.00005466902,0.00029779004,0.0000024016285],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024640906,0.00009893294,0.002456779,0.000009196026,0.0000031971492,0.00010489706,0.00004571579,0.004061892,0.98459554,0.0004157031,0.000023908031,0.0079378495],"study_design_scores_gemma":[0.0021056775,0.00491462,0.7787453,0.00008420013,0.000024129422,0.0032354777,0.00006198712,0.18277751,0.018117882,0.008181518,0.0014460455,0.00030568196],"about_ca_topic_score_codex":0.0000050736544,"about_ca_topic_score_gemma":0.0000021522674,"teacher_disagreement_score":0.96647763,"about_ca_system_score_codex":0.000014327563,"about_ca_system_score_gemma":0.000036518257,"threshold_uncertainty_score":0.35840282},"labels":[],"label_agreement":null},{"id":"W2407010218","doi":"10.1016/j.yebeh.2016.04.028","title":"Differential responsiveness of the right parahippocampal region to electrical stimulation in fixed human brains: Implications for historical surgical stimulation studies?","year":2016,"lang":"en","type":"article","venue":"Epilepsy & Behavior","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Hippocampus; Stimulation; Neuroscience; Human brain; Psychology","score_opus":0.07669722586283455,"score_gpt":0.3478024346603361,"score_spread":0.27110520879750155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2407010218","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930585,0.000009990901,0.0027632855,0.00213626,0.00054150994,0.0014108042,0.000028142527,0.000039938564,0.000011565393],"genre_scores_gemma":[0.99864,0.000007451625,0.000044472716,0.00008754185,0.00013013244,0.00043939005,0.00000802158,0.000021696145,0.0006212874],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9980217,0.0003180639,0.0005377305,0.00052297255,0.00026106846,0.0003384392],"domain_scores_gemma":[0.9979268,0.0012303406,0.0002100287,0.00039546262,0.0001446874,0.00009270535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016821489,0.0001754384,0.00029668643,0.00019374152,0.00029842486,0.000017391741,0.00025372545,0.00011711097,0.000018082985],"category_scores_gemma":[0.0010393661,0.00010918522,0.0001637687,0.0005590475,0.000089101406,0.00013690314,0.00007878769,0.00012342852,0.0000033570723],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055953325,0.00044774136,0.112229005,0.00000702858,0.0000034387192,0.0000060856264,0.00008081227,0.0001138779,0.8627125,0.010057424,0.00044995945,0.013332583],"study_design_scores_gemma":[0.0015559656,0.00048788104,0.96719486,0.000051026407,0.000046043842,0.000013481178,0.000002887265,0.00038286755,0.027165122,0.0017477601,0.0011527215,0.00019936042],"about_ca_topic_score_codex":0.000014445552,"about_ca_topic_score_gemma":0.000038517544,"teacher_disagreement_score":0.85496587,"about_ca_system_score_codex":0.00068297493,"about_ca_system_score_gemma":0.00004949187,"threshold_uncertainty_score":0.4452444},"labels":[],"label_agreement":null},{"id":"W2407968944","doi":"","title":"A neural reinforcement learning model for tasks with unknown time delays","year":2013,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Ontario Innovation Trust","keywords":"Reinforcement learning; Markov decision process; Artificial intelligence; Computer science; Reinforcement; Task (project management); Function (biology); Machine learning; Psychology; Markov process; Mathematics; Engineering; Social psychology","score_opus":0.017793424054356688,"score_gpt":0.20607402209366735,"score_spread":0.18828059803931066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2407968944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95824623,0.00001526077,0.018145453,0.0016875402,0.00011875021,0.0016672626,0.0004607407,0.0008245815,0.018834181],"genre_scores_gemma":[0.9765327,0.0000036320976,0.00063224847,0.0021421064,0.00008219656,0.00018197557,0.00034804665,0.00010750563,0.019969571],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979076,0.000051061845,0.0003793401,0.00064022635,0.000385219,0.00063656876],"domain_scores_gemma":[0.9989351,0.00024719673,0.00016993139,0.00030085293,0.000048981434,0.00029791656],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007898119,0.00034927006,0.00024989058,0.00013355272,0.0003363372,0.001708228,0.00039651198,0.00010769536,0.00035152666],"category_scores_gemma":[0.00031438784,0.00026894337,0.00015170415,0.00034385163,0.000100858495,0.005139341,0.00019083743,0.00044875796,0.0018289406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002871132,0.0010104963,0.016643807,0.00045419676,0.00014093821,0.00012124631,0.00021615921,0.559411,0.27215415,0.03033298,0.025051309,0.09159261],"study_design_scores_gemma":[0.00075013476,0.00045208898,0.00009126404,0.00003302049,0.0000126872155,0.000024888994,0.0000049436107,0.9681354,0.006819009,0.0048958967,0.018336475,0.00044415361],"about_ca_topic_score_codex":0.0000016226587,"about_ca_topic_score_gemma":2.6895876e-7,"teacher_disagreement_score":0.40872446,"about_ca_system_score_codex":0.000033741464,"about_ca_system_score_gemma":0.00006154588,"threshold_uncertainty_score":0.9999763},"labels":[],"label_agreement":null},{"id":"W2412169133","doi":"10.1038/srep12196","title":"A microfluidic device to study neuronal and motor responses to acute chemical stimuli in zebrafish","year":2015,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute of Genetics; Fondation Pierre-Gilles de Gennes pour la recherche; Kyungpook National University; Institut National de la Santé et de la Recherche Médicale; Agence Nationale de la Recherche","keywords":"Zebrafish; Stimulus (psychology); Calcium imaging; Neuroscience; Sensory system; Perception; Biological neural network; Microfluidics; Biology; Computer science; Psychology; Chemistry; Nanotechnology; Materials science; Calcium","score_opus":0.05262874532104323,"score_gpt":0.30723372367536855,"score_spread":0.25460497835432533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2412169133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950254,0.000020468317,0.000022466607,0.0008549818,0.003060373,0.0008727405,0.0000073905057,0.000055179815,0.00008100828],"genre_scores_gemma":[0.99717814,0.0000011341998,0.00011464019,0.0010526585,0.00003794801,0.000046244437,0.0000024989433,0.000015697513,0.0015510581],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9973381,0.0001406956,0.00039258777,0.0011978574,0.00059293583,0.00033781474],"domain_scores_gemma":[0.9987996,0.000107332475,0.00008143486,0.0005138613,0.00008766421,0.0004101035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011769568,0.00015212479,0.00018001637,0.00031083668,0.00013645056,0.00035855416,0.0001785456,0.00003586764,0.000011328061],"category_scores_gemma":[0.001992053,0.0001375126,0.000029987199,0.0010238375,0.000093238225,0.00018448186,0.00031820955,0.00012529246,0.000039665134],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017502354,0.00019082367,0.0061935633,0.0000024338935,0.0000017641402,0.0010759818,0.00051712233,0.0000043880905,0.9815582,0.0000050033495,0.009639829,0.00063587184],"study_design_scores_gemma":[0.0012193522,0.0015873663,0.08414707,0.000048577334,0.000041411153,0.0017474804,0.000386706,0.0005693434,0.8575642,0.0017942167,0.05008494,0.0008093087],"about_ca_topic_score_codex":0.000028047283,"about_ca_topic_score_gemma":0.000013306343,"teacher_disagreement_score":0.12399397,"about_ca_system_score_codex":0.00006176358,"about_ca_system_score_gemma":0.00011121511,"threshold_uncertainty_score":0.56076014},"labels":[],"label_agreement":null},{"id":"W2412333271","doi":"10.1152/jn.2002.88.4.2152","title":"Differential Distribution of Burst and Single-Spike Responses in Auditory Thalamus","year":2002,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Bursting; Thalamus; Neuroscience; Medial geniculate body; Stimulus (psychology); Auditory cortex; Geniculate; Biology; Psychology; Inferior colliculus; Nucleus","score_opus":0.03674079027691639,"score_gpt":0.24148879026591186,"score_spread":0.20474799998899545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2412333271","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985021,0.000011893778,0.00003690245,0.0003045055,0.0010570436,0.00004085218,0.000009022711,0.0000042665274,0.000033417764],"genre_scores_gemma":[0.99942064,0.00018315796,0.000004847287,0.00009561741,0.00019792723,4.4899218e-7,7.243023e-7,0.000006669941,0.000089977606],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990332,0.00024511467,0.00032257548,0.00014240936,0.00012664609,0.00013003236],"domain_scores_gemma":[0.99924076,0.0002979779,0.00029501953,0.000085384716,0.000040053787,0.000040811527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000025803232,0.00008363516,0.00021311428,0.00011016798,0.000035236815,0.0000098685905,0.00010624589,0.000047388072,0.00002260747],"category_scores_gemma":[0.00044368315,0.00006604857,0.00005948577,0.00012959965,0.00015325939,0.000104042185,0.000042198593,0.00021019297,0.0000020960026],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026608197,0.00016963902,0.0002135111,0.000009182599,0.0000014940291,0.000091873866,0.000023019917,0.000072770585,0.99693155,0.0001115529,0.000041306997,0.002068023],"study_design_scores_gemma":[0.0019140748,0.006095241,0.88723785,0.00008073565,0.00002885082,0.0008712526,0.000024067773,0.00815535,0.09246029,0.0013328021,0.0015622355,0.00023722886],"about_ca_topic_score_codex":0.000001919971,"about_ca_topic_score_gemma":6.1760767e-7,"teacher_disagreement_score":0.9044713,"about_ca_system_score_codex":0.000021245081,"about_ca_system_score_gemma":0.0000067391898,"threshold_uncertainty_score":0.26933825},"labels":[],"label_agreement":null},{"id":"W2414155443","doi":"10.1101/pdb.prot091306","title":"Using Multiple Whole-Cell Recordings to Study Spike-Timing-Dependent Plasticity in Acute Neocortical Slices","year":2016,"lang":"en","type":"article","venue":"Cold Spring Harbor Protocols","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; McGill University Health Centre; Montreal General Hospital","funders":"Biotechnology and Biological Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Plasticity; Spike-timing-dependent plasticity; Neuroscience; Spike (software development); Synaptic plasticity; Focus (optics); Neocortex; Biology; Computer science; Materials science; Physics; Optics","score_opus":0.07798960145614289,"score_gpt":0.32389719789999644,"score_spread":0.24590759644385354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2414155443","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93687797,3.4213215e-7,0.0070422953,0.0002109116,0.00017229188,0.055520296,0.000012742059,0.00012239334,0.00004078501],"genre_scores_gemma":[0.9656944,3.7178773e-7,0.001094159,0.00024479956,0.00008458259,0.032662153,3.3448416e-8,0.000044408054,0.00017503572],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974995,0.0001437847,0.00047452346,0.00087111635,0.00043788148,0.0005731394],"domain_scores_gemma":[0.99881524,0.00040565274,0.00015715852,0.000358286,0.000048937236,0.00021471085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029907323,0.00026555156,0.00030723802,0.00020120163,0.0001922714,0.00018054034,0.00042500094,0.00008076873,0.000033718417],"category_scores_gemma":[0.0007907072,0.00020672653,0.000066946595,0.00038739468,0.000045066725,0.00033669322,0.00034523185,0.00023194474,0.0001108681],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025429542,0.00050966983,0.049766812,0.000021668318,0.000004042145,0.00010369862,0.000043090735,0.00012244187,0.9484074,0.0001896261,0.0000078345665,0.00056941627],"study_design_scores_gemma":[0.0034699414,0.0010649305,0.04935368,0.00031778333,0.000023290584,0.0000028483155,0.000017840812,0.012510315,0.9309416,0.000031368167,0.0017449086,0.0005215068],"about_ca_topic_score_codex":0.00008075522,"about_ca_topic_score_gemma":0.00005041262,"teacher_disagreement_score":0.028816516,"about_ca_system_score_codex":0.00021187427,"about_ca_system_score_gemma":0.00005084514,"threshold_uncertainty_score":0.8430064},"labels":[],"label_agreement":null},{"id":"W2414264051","doi":"10.1103/physreve.94.052402","title":"Statistical mechanics of consciousness: Maximization of information content of network is associated with conscious awareness","year":2016,"lang":"en","type":"article","venue":"Physical review. E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Toronto Western Hospital; Hospital for Sick Children; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Consciousness; Unconscious mind; Cognition; Information processing; Default mode network; Psychology; Cognitive science; Content (measure theory); Level of consciousness; Cognitive psychology; Neurophysiology; Entropy (arrow of time); Maximization; Computer science; Neuroscience; Mathematics; Social psychology; Developmental psychology; Psychoanalysis","score_opus":0.03194473587954907,"score_gpt":0.28266454349670395,"score_spread":0.2507198076171549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2414264051","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78855646,0.00018184744,0.20832367,0.0007183687,0.00025026564,0.001012543,0.0006658938,0.000042507323,0.0002484299],"genre_scores_gemma":[0.9985244,0.000935073,0.000072767565,0.00040936854,0.000011983204,0.000011360156,0.000016373318,0.0000069346106,0.000011727548],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988152,0.0001234181,0.00044577877,0.0001334289,0.00034823047,0.00013396262],"domain_scores_gemma":[0.9981774,0.00068562385,0.0006281586,0.00016570296,0.00030232593,0.000040783038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001818488,0.000102332924,0.00043595652,0.000026806103,0.00002845741,0.0000045034885,0.000102263046,0.0000258513,0.00002132803],"category_scores_gemma":[0.0014711409,0.000060675902,0.00006319184,0.00030374917,0.00013321836,0.00018987247,0.000035521625,0.000047076115,0.0000046315154],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035141959,0.00066974515,0.004004988,0.0022098348,0.00007594038,0.0000030919437,0.0001686772,0.00040385188,0.4466961,0.506987,0.0017090418,0.03672036],"study_design_scores_gemma":[0.0068892213,0.004400134,0.018845173,0.0204841,0.0009462271,0.000024448975,0.000057319143,0.13302657,0.6445796,0.1679145,0.0015113462,0.0013213783],"about_ca_topic_score_codex":0.000011671853,"about_ca_topic_score_gemma":0.000004032978,"teacher_disagreement_score":0.33907247,"about_ca_system_score_codex":0.00002183495,"about_ca_system_score_gemma":0.0000612201,"threshold_uncertainty_score":0.24742915},"labels":[],"label_agreement":null},{"id":"W2414267734","doi":"10.1103/physreve.92.012703","title":"Oscillatorylike behavior in feedforward neuronal networks","year":2015,"lang":"en","type":"article","venue":"Physical Review E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Feed forward; Computer science; Decorrelation; Feedforward neural network; Spike (software development); Echo state network; Biological neuron model; Oscillation (cell signaling); Spike train; Control theory (sociology); Artificial neural network; Biological system; Recurrent neural network; Artificial intelligence; Algorithm; Biology","score_opus":0.0585347601884841,"score_gpt":0.32083294309693194,"score_spread":0.26229818290844786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2414267734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99289477,0.0012979856,0.000082678234,0.0011434552,0.0006517493,0.0005591475,0.000005303081,0.00007305684,0.0032918549],"genre_scores_gemma":[0.99415,0.00126695,0.0000071297904,0.004224568,0.00018408205,0.00005379178,0.0000025309978,0.0000140928305,0.00009685211],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99888283,0.000115430325,0.00018224369,0.0003151171,0.00027480605,0.00022956125],"domain_scores_gemma":[0.99948615,0.00008990013,0.000060665105,0.00019538797,0.00002227228,0.00014562924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014558468,0.000121630495,0.0002483042,0.00002642563,0.000028740007,0.000021761067,0.00014696052,0.000018092916,0.000013923933],"category_scores_gemma":[0.00036466366,0.00009621566,0.00010273638,0.0003560091,0.00005871103,0.0001282641,0.00007295138,0.00021500338,0.00015403093],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028409346,0.0048292796,0.027474783,0.0016107738,0.000013818418,0.00059475674,0.00021403542,0.0054779253,0.24002934,0.17121747,0.043687522,0.5045662],"study_design_scores_gemma":[0.003983589,0.0025487598,0.14594509,0.0027876354,0.0003478915,0.00019674224,0.00001794056,0.38599035,0.008294568,0.027533563,0.41920578,0.0031480934],"about_ca_topic_score_codex":0.000006255103,"about_ca_topic_score_gemma":0.0000030713045,"teacher_disagreement_score":0.5014181,"about_ca_system_score_codex":0.000039867216,"about_ca_system_score_gemma":0.000024606112,"threshold_uncertainty_score":0.3923561},"labels":[],"label_agreement":null},{"id":"W2414997392","doi":"10.1113/jp271485","title":"Asynchronous presynaptic glutamate release enhances neuronal excitability during the post‐spike refractory period","year":2015,"lang":"en","type":"article","venue":"The Journal of Physiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Afterhyperpolarization; Neuroscience; Refractory period; Excitatory postsynaptic potential; Depolarization; Glutamate receptor; Asynchronous communication; Electrophysiology; Chemistry; Biology; Biophysics; Inhibitory postsynaptic potential; Computer science; Internal medicine; Medicine","score_opus":0.019012893331682934,"score_gpt":0.24760346405793465,"score_spread":0.22859057072625172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2414997392","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968067,0.000096878044,0.000022113785,0.0018322872,0.0009863386,0.00012894937,0.0000049006376,0.000015688016,0.00010618868],"genre_scores_gemma":[0.99878454,0.00007717516,0.00000904714,0.00065291737,0.00038473972,0.0000024929527,3.2167907e-7,0.000012383342,0.00007638751],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9980827,0.00087290106,0.0003447843,0.00017025892,0.00026928744,0.0002600587],"domain_scores_gemma":[0.9985119,0.0005137202,0.00042629737,0.0003150024,0.00013718738,0.00009587545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005686553,0.00013724253,0.0002085089,0.000040115327,0.00026076613,0.000026911468,0.0005471857,0.00004522617,0.00006243791],"category_scores_gemma":[0.00097491854,0.000066800916,0.000105306346,0.00011321582,0.00039145825,0.00022998179,0.00013193462,0.00049457396,0.000031557804],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00074492773,0.00007291839,0.000036006575,0.000012728416,0.000007821482,0.000010704277,0.00037492975,0.0008960047,0.9974492,0.0000934762,0.000033927416,0.00026734194],"study_design_scores_gemma":[0.002350669,0.0061535067,0.65773654,0.000058349746,0.00014270279,0.0029590204,0.0010006729,0.0060454314,0.30607283,0.01473391,0.0022119756,0.00053436914],"about_ca_topic_score_codex":0.000013303649,"about_ca_topic_score_gemma":0.0000075084126,"teacher_disagreement_score":0.6913764,"about_ca_system_score_codex":0.00006871045,"about_ca_system_score_gemma":0.00011370531,"threshold_uncertainty_score":0.27240622},"labels":[],"label_agreement":null},{"id":"W2417111442","doi":"10.1152/jn.2000.83.2.746","title":"Low-Voltage-Activated Calcium Current Does Not Regulate the Firing Behavior in Paired Mechanosensory Neurons With Different Adaptation Properties","year":2000,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Depolarization; Neuroscience; Biophysics; Neuron; Current clamp; Chemistry; Electrophysiology; Mechanoreceptor; Voltage clamp; Stimulus (psychology); Bursting; Patch clamp; Biology; Stimulation; Psychology","score_opus":0.05744070762194276,"score_gpt":0.25148664271507415,"score_spread":0.1940459350931314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2417111442","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982845,0.0000074506456,0.000051087645,0.0006344608,0.00073033106,0.00026031013,0.00000540914,0.000019402161,0.0000070438714],"genre_scores_gemma":[0.99906725,0.00015440161,0.0000045447377,0.00043285065,0.00012353118,0.000014592356,8.373447e-7,0.000025646137,0.0001763477],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983448,0.00039776278,0.00043216007,0.00028709456,0.00026439287,0.00027381018],"domain_scores_gemma":[0.9992141,0.00016996611,0.00029061895,0.00020295418,0.00006046282,0.00006191468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000040865812,0.00020023753,0.00027873355,0.00012993939,0.00015034623,0.00003975991,0.0002453932,0.000043940607,0.00002923901],"category_scores_gemma":[0.000098661025,0.000094110525,0.00009673502,0.00020138687,0.00014468314,0.00020579509,0.000037863585,0.0005505343,0.0000045504703],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010879881,0.00021978162,0.000022491731,0.0000123696655,0.0000031524723,0.0001326338,0.000109961766,0.012743197,0.9634432,0.0000151524955,0.0000034831871,0.022206575],"study_design_scores_gemma":[0.0011308983,0.0021800296,0.09557635,0.00012991249,0.000047034977,0.00030145896,0.000042617092,0.033994425,0.8659237,0.00016956063,0.00023887095,0.00026515135],"about_ca_topic_score_codex":0.000009678818,"about_ca_topic_score_gemma":0.000007544483,"teacher_disagreement_score":0.097519524,"about_ca_system_score_codex":0.000039065595,"about_ca_system_score_gemma":0.000033026947,"threshold_uncertainty_score":0.38377157},"labels":[],"label_agreement":null},{"id":"W2417881643","doi":"10.1007/978-3-319-26911-5_4","title":"Spatially Structured Neural Systems","year":2016,"lang":"en","type":"book-chapter","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Lattice (music); Ode; Statistical physics; Artificial neural network; Notation; Homogeneous; Stochastic process; Theoretical computer science; Artificial intelligence; Mathematics; Physics; Applied mathematics","score_opus":0.0268365452231699,"score_gpt":0.22306278475031496,"score_spread":0.19622623952714507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2417881643","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00039569492,0.0000315903,0.00035058102,0.00036497373,0.0049402793,0.00042427535,0.00013451627,0.0002203398,0.9931378],"genre_scores_gemma":[0.11208056,0.000038845625,0.000007726609,0.0006764424,0.0005756615,0.000004598555,0.0000072991684,0.00006296541,0.8865459],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998487,0.000022825769,0.00028681735,0.0005898688,0.0003801422,0.00023336966],"domain_scores_gemma":[0.99914235,0.00013143457,0.00020328975,0.00038603682,0.0000420995,0.00009477047],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000042353717,0.00031920892,0.00028327218,0.00010755112,0.000096790536,0.000107885186,0.00027152387,0.00024764656,0.0010373949],"category_scores_gemma":[0.00005082338,0.00020305238,0.00013251646,0.000016585002,0.00008400506,0.00010018956,0.000092863644,0.00023555981,0.00046856282],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023528866,0.0000025523996,0.0000015309138,0.000026794878,0.000006019814,0.000058742316,0.0000031749344,0.000026653943,0.0747502,0.9134198,0.0019305401,0.009750477],"study_design_scores_gemma":[0.00094161637,0.0004941332,0.00004399802,0.0002828367,0.00007516341,0.00042835355,0.00000161326,0.011908207,0.007381774,0.08558787,0.89103955,0.0018148945],"about_ca_topic_score_codex":0.0000089518635,"about_ca_topic_score_gemma":0.000016498294,"teacher_disagreement_score":0.889109,"about_ca_system_score_codex":0.000052860843,"about_ca_system_score_gemma":0.000031975906,"threshold_uncertainty_score":0.9998758},"labels":[],"label_agreement":null},{"id":"W2419279234","doi":"10.1371/journal.pcbi.1005258","title":"Encoding in Balanced Networks: Revisiting Spike Patterns and Chaos in Stimulus-Driven Systems","year":2016,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"National Institute on Drug Abuse; Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; University of Ottawa; Washington Research Foundation; Bernstein Center for Computational Neuroscience Tübingen; National Institutes of Health; National Science Foundation","keywords":"ENCODE; Chaotic; Stimulus (psychology); Randomness; Computer science; Neuroscience; Encoding (memory); Artificial intelligence; Mathematics; Biology; Psychology; Cognitive psychology","score_opus":0.03135263977724792,"score_gpt":0.2587798471867861,"score_spread":0.22742720740953817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2419279234","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98611265,0.000028980136,0.012711784,0.0006385947,0.00020906166,0.0001851775,0.000018354773,0.000026294729,0.000069088856],"genre_scores_gemma":[0.99941623,0.000050169507,0.00007455466,0.0002980738,0.00011482514,0.000017628143,0.000009608762,0.0000067035776,0.0000122291285],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990257,0.00016575115,0.00023158737,0.00031723894,0.00006516153,0.00019455331],"domain_scores_gemma":[0.9988877,0.00093064905,0.000081545535,0.000052075262,0.000018222436,0.000029817347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011322167,0.00008598383,0.00015350393,0.0001150987,0.0000398676,0.000018494125,0.00007414889,0.000052706575,0.0000072257726],"category_scores_gemma":[0.00019926451,0.00006309849,0.000013934946,0.00012871453,0.00004271038,0.00008189484,0.000057271343,0.00008317295,0.0000064048863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004764475,0.000047354148,0.660404,0.000047832775,0.000004317456,0.000039153154,0.00006438561,0.112748265,0.19785856,0.018140446,0.000006680562,0.010591317],"study_design_scores_gemma":[0.0005634507,0.000065354165,0.10041482,0.00022039964,0.0000013146101,0.000016481628,0.000008713778,0.8970712,0.00019286774,0.0013070641,0.000025242009,0.00011313609],"about_ca_topic_score_codex":0.000019017227,"about_ca_topic_score_gemma":0.000011237336,"teacher_disagreement_score":0.7843229,"about_ca_system_score_codex":0.00004658886,"about_ca_system_score_gemma":0.000009944739,"threshold_uncertainty_score":0.25730816},"labels":[],"label_agreement":null},{"id":"W2426751014","doi":"","title":"Stimulus induced reset of 40-Hz auditory steady-state responses.","year":2004,"lang":"en","type":"article","venue":"PubMed","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital","funders":"","keywords":"Stimulus (psychology); Audiology; Impulse (physics); Amplitude; Phase coherence; Acoustics; Physics; Medicine; Psychology; Optics","score_opus":0.054329853761788324,"score_gpt":0.25715062436504266,"score_spread":0.20282077060325432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2426751014","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950501,0.0000083869345,0.00007947756,0.00078006415,0.0013693096,0.00049306446,0.00004645907,0.00007838812,0.0020947577],"genre_scores_gemma":[0.9971783,0.000013546438,0.000019986717,0.00049335964,0.00011103854,0.00017845632,0.0000020965322,0.000018783534,0.001984409],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985589,0.00013206611,0.00024676922,0.00034104587,0.00034964888,0.00037159128],"domain_scores_gemma":[0.99916095,0.00023258638,0.00013543197,0.00030884476,0.00004213992,0.000120030316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035541225,0.00011901693,0.00015107924,0.0001501122,0.00008814329,0.000031147672,0.00022484788,0.00005711991,0.000009388117],"category_scores_gemma":[0.0012422518,0.00010674263,0.00006060568,0.00035662804,0.0000998689,0.00017871572,0.000082278,0.00018695966,0.0000294799],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015275475,0.00028485167,0.0003535403,0.0000507573,0.000012643183,0.000128802,0.0002682648,0.0012650423,0.9148737,0.0019846342,0.0016072547,0.07764294],"study_design_scores_gemma":[0.0024370104,0.00027870224,0.37762383,0.000023130324,0.00001811903,0.000034427183,0.0000316314,0.00034215796,0.6013825,0.010301453,0.0070926123,0.00043440162],"about_ca_topic_score_codex":0.000046377078,"about_ca_topic_score_gemma":0.000019088859,"teacher_disagreement_score":0.3772703,"about_ca_system_score_codex":0.00009906486,"about_ca_system_score_gemma":0.000058585567,"threshold_uncertainty_score":0.4352838},"labels":[],"label_agreement":null},{"id":"W2426760513","doi":"10.1016/b978-0-12-418693-4.00004-2","title":"Limbic Networks and Epileptiform Synchronization","year":2014,"lang":"en","type":"review","venue":"International review of neurobiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Montreal Neurological Institute and Hospital; Savoy Foundation","keywords":"Neuroscience; Psychology; Synchronization (alternating current); Cognitive psychology; Computer science; Computer network","score_opus":0.03168549224730611,"score_gpt":0.3255626871384515,"score_spread":0.2938771948911454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2426760513","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000052044516,0.9954359,0.0006630332,0.00020429806,0.0019014016,0.0005417399,0.000044801694,0.000029693243,0.0011739263],"genre_scores_gemma":[0.00017710766,0.9970716,0.00001337573,0.0019890964,0.0002484023,0.000045614284,0.0002011672,0.000031815147,0.00022181572],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979612,0.0003701458,0.00082984933,0.00053149177,0.00013525483,0.00017203762],"domain_scores_gemma":[0.99795026,0.0008212857,0.0008487177,0.0002520769,0.000079852834,0.000047789792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025193894,0.0002817168,0.0011736478,0.00014966103,0.000039725808,0.000018402236,0.00044022367,0.00017216847,0.00011831325],"category_scores_gemma":[0.0011941264,0.00021080152,0.00028460898,0.00020501236,0.00013946719,0.00006817121,0.00020106784,0.00030432802,0.000046128735],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000022073539,0.000019919358,0.0000014764418,0.024356237,0.000015663452,0.0000037242312,4.2650595e-7,0.0000051028965,0.000015411932,0.004490528,0.00073337025,0.9703559],"study_design_scores_gemma":[0.000055404762,0.00011217846,0.0000031565394,0.028576577,0.00011508183,0.0002667191,6.2837714e-8,0.0008341755,0.0000021032893,0.00008160667,0.9697961,0.00015679841],"about_ca_topic_score_codex":0.0000014562193,"about_ca_topic_score_gemma":7.2056616e-7,"teacher_disagreement_score":0.9701991,"about_ca_system_score_codex":0.000042557283,"about_ca_system_score_gemma":0.00004277898,"threshold_uncertainty_score":0.8596236},"labels":[],"label_agreement":null},{"id":"W2463516915","doi":"10.1038/srep29435","title":"Hyper-resting brain entropy within chronic smokers and its moderation by Sex","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Heart, Lung, and Blood Institute; Natural Science Foundation of Zhejiang Province; National Institute on Drug Abuse; Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning","keywords":"Precuneus; Insula; Neuroimaging; Medicine; Brain activity and meditation; Prefrontal cortex; Brain morphometry; Psychology; Neuroscience; Functional magnetic resonance imaging; Electroencephalography; Cognition; Magnetic resonance imaging","score_opus":0.02135923506274168,"score_gpt":0.24369279973785363,"score_spread":0.22233356467511195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2463516915","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929723,0.00004833273,0.00085124566,0.0015911139,0.0038646564,0.00025025485,0.0000052519295,0.000094830175,0.0003219799],"genre_scores_gemma":[0.9799632,0.0000053858535,0.000033266428,0.00019290802,0.000066686036,0.000011945879,0.000006802978,0.000014062751,0.019705757],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979956,0.000076017095,0.0003264077,0.0009017279,0.0004199234,0.00028030272],"domain_scores_gemma":[0.999154,0.00013119144,0.00023615581,0.00032256573,0.000046528567,0.000109615794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007588873,0.00012683934,0.000108188375,0.0000848692,0.0004999659,0.00033748418,0.00007762513,0.000048520582,0.000044581517],"category_scores_gemma":[0.001095882,0.00008717882,0.00003274435,0.00023148491,0.00016245575,0.00046276476,0.000064819724,0.000074099145,0.000018335859],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033447507,0.000013463576,0.00035355485,0.0000073908554,9.852818e-7,0.000054063352,0.000051518116,0.000078593235,0.9891036,0.00044570595,0.0058593117,0.0040284554],"study_design_scores_gemma":[0.00020746344,0.000065180466,0.00009863807,0.000038981467,0.000005187156,0.0003695806,0.000007890822,0.03954578,0.94295764,0.0053525553,0.011167781,0.00018332768],"about_ca_topic_score_codex":0.000005843606,"about_ca_topic_score_gemma":0.000008021758,"teacher_disagreement_score":0.04614598,"about_ca_system_score_codex":0.00008403796,"about_ca_system_score_gemma":0.000081083774,"threshold_uncertainty_score":0.3845384},"labels":[],"label_agreement":null},{"id":"W2463692986","doi":"10.1007/978-3-319-26911-5_5","title":"The Bigger Picture","year":2016,"lang":"en","type":"book-chapter","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Plan (archaeology); Cognitive science; Computer science; Psychology; History","score_opus":0.024630576812706542,"score_gpt":0.22288309001397813,"score_spread":0.19825251320127157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2463692986","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000019760882,0.000025703255,0.00008859972,0.002980314,0.001346682,0.000129761,0.000017414988,0.00007607045,0.9953157],"genre_scores_gemma":[0.0027156498,0.00029777628,0.0000031220547,0.002699715,0.00032708948,0.0000030229182,8.6515286e-7,0.000029923558,0.9939228],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992108,0.000009435055,0.00012099613,0.0002976449,0.00020994419,0.00015118303],"domain_scores_gemma":[0.999238,0.00030414012,0.00007662894,0.00032294437,0.000019417761,0.000038859413],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000049020964,0.00016211868,0.00009340412,0.00002869864,0.00021869672,0.000069616435,0.00022863522,0.00013883231,0.0009207042],"category_scores_gemma":[0.00005807331,0.000067102366,0.000099319994,0.000010386614,0.000112459056,0.000036511978,0.000073809686,0.00019649453,0.001228444],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006635844,0.0000010250632,1.6758749e-7,0.0000016657983,0.0000020580621,0.0000068369486,0.0000015078532,1.0975343e-7,0.010130459,0.9517037,0.012882315,0.025263516],"study_design_scores_gemma":[0.00004484121,0.000023493989,0.000001964452,0.000013384259,0.0000041221374,0.000011064876,2.618629e-7,0.000019212035,0.001380564,0.115351565,0.88303727,0.0001122349],"about_ca_topic_score_codex":3.0707648e-7,"about_ca_topic_score_gemma":0.0000056562653,"teacher_disagreement_score":0.870155,"about_ca_system_score_codex":0.000020770274,"about_ca_system_score_gemma":0.00001666272,"threshold_uncertainty_score":0.9999926},"labels":[],"label_agreement":null},{"id":"W2464312795","doi":"10.1073/pnas.1606942113","title":"Consciousness explained or consciousness redefined?","year":2016,"lang":"en","type":"letter","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Consciousness; Psychology; Cognitive science; Cognitive psychology; Neuroscience","score_opus":0.06742724555808272,"score_gpt":0.3004333887061435,"score_spread":0.23300614314806078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2464312795","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06494802,0.000034002154,0.000001572248,0.91700506,0.00044739243,0.00069021236,0.0003237772,0.000071745984,0.01647824],"genre_scores_gemma":[0.6573824,0.00009998873,0.00016080157,0.33063108,0.0016502731,0.000055110657,7.720247e-7,0.00003130409,0.009988284],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9956254,0.00003149228,0.00064738566,0.0007800357,0.0025043942,0.00041132342],"domain_scores_gemma":[0.9969944,0.0012369321,0.0013262449,0.000023075754,0.00037777933,0.00004161767],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0010866525,0.00029550554,0.00042933255,0.00038708697,0.00045623642,0.000083692794,0.0021137844,0.00046215256,0.000093252725],"category_scores_gemma":[0.0030808523,0.00015134149,0.00018986498,0.0011394767,0.002897718,0.00051921216,0.0003495281,0.0007623467,0.000010279852],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052805535,0.00002051151,0.000115640505,0.0002115976,0.000009667658,3.1845352e-7,0.000039228224,0.000003794588,0.5748051,0.020691896,0.4037075,0.0003419598],"study_design_scores_gemma":[0.00073309435,0.00021437218,0.00050204806,0.0009052959,0.000050532853,0.00022288611,0.000051515744,0.00054266455,0.6800795,0.1256977,0.19035333,0.0006470183],"about_ca_topic_score_codex":0.000003939939,"about_ca_topic_score_gemma":1.09373374e-7,"teacher_disagreement_score":0.5924344,"about_ca_system_score_codex":0.00007470089,"about_ca_system_score_gemma":0.00013201394,"threshold_uncertainty_score":0.9998158},"labels":[],"label_agreement":null},{"id":"W2464901181","doi":"10.1109/tnsre.2016.2586659","title":"A Model for Single Neuron Activity With Refractory Effects and Spike Rate Estimation Techniques","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Neural Systems and Rehabilitation Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Institute of Mental Health; National Institutes of Health","keywords":"Estimator; Point process; Spike (software development); Spike train; Poisson distribution; Computer science; Refractory period; Mathematics; Algorithm; Statistics","score_opus":0.013625487871184025,"score_gpt":0.22203134882374728,"score_spread":0.20840586095256325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2464901181","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49061123,0.000003956605,0.50829315,0.0002608907,0.00018856859,0.000507497,0.000011833635,0.000120195,0.000002701967],"genre_scores_gemma":[0.99838805,0.000013262468,0.0011300173,0.000034616987,0.000019619589,0.000257903,2.7629667e-7,0.00002831793,0.00012791232],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917763,0.000058563535,0.0001505909,0.00035015575,0.00010709852,0.00015593974],"domain_scores_gemma":[0.9984274,0.0012810124,0.00006312186,0.00012027887,0.000041819872,0.0000664017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011887072,0.0001622457,0.0001528495,0.00013823829,0.00014106712,0.000054699354,0.000032060027,0.000060707014,2.8029206e-7],"category_scores_gemma":[0.000101491016,0.00009818292,0.000037441754,0.00010333451,0.000056594316,0.00044233893,9.993853e-7,0.000086756576,3.629199e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009665203,0.00004346676,0.0000032836053,0.00026515574,0.000002646122,7.1550505e-7,0.00005267067,0.10597032,0.8667301,0.00010245179,0.0000025363076,0.026730029],"study_design_scores_gemma":[0.00041170968,0.0012606722,0.00028088366,0.00018498777,0.000014348804,0.00002124814,0.0000047702824,0.9116858,0.08591335,0.000030932246,0.000034271372,0.00015701013],"about_ca_topic_score_codex":0.000008358621,"about_ca_topic_score_gemma":0.0000034593415,"teacher_disagreement_score":0.8057155,"about_ca_system_score_codex":0.00005361958,"about_ca_system_score_gemma":0.000006815697,"threshold_uncertainty_score":0.40037832},"labels":[],"label_agreement":null},{"id":"W2465127664","doi":"10.1016/j.cub.2016.04.050","title":"Dissociation of forward and convergent remapping in primate visual cortex","year":2016,"lang":"en","type":"letter","venue":"Current Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research","keywords":"Biology; Primate; Visual cortex; Neuroscience; Dissociation (chemistry); Evolutionary biology; Convergent evolution; Cognitive science; Phylogenetics; Genetics","score_opus":0.034471916618904995,"score_gpt":0.31961134920171363,"score_spread":0.28513943258280866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2465127664","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77174383,0.000571416,0.00083560456,0.21331687,0.01156394,0.0010584141,0.0004496658,0.00007804863,0.00038216947],"genre_scores_gemma":[0.8883326,0.0046261004,0.000012892113,0.10282627,0.0026977384,0.00007659101,0.0006228805,0.00006256583,0.00074236194],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99878716,0.0001610736,0.0003055498,0.00040656526,0.00008709297,0.00025255056],"domain_scores_gemma":[0.999306,0.00023542006,0.00031317538,0.00010102423,0.000024629486,0.000019717985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011396621,0.00014870048,0.00028720155,0.00014600882,0.000030253648,0.000007827302,0.00009917655,0.00026539576,0.000022362654],"category_scores_gemma":[0.00019125185,0.000110216824,0.000053157277,0.00008554206,0.0001218797,0.00004144383,0.000087190434,0.00035894365,0.000010550493],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067198634,0.00007863643,0.016576963,0.0006846283,0.000018145403,0.000023192757,0.00010232938,3.9341217e-7,0.7836951,0.0026396227,0.09197583,0.10413795],"study_design_scores_gemma":[0.0010709929,0.00039041764,0.009924467,0.00043967878,0.00003224397,0.000015401778,0.00000434156,0.0014434159,0.010910341,0.0062291515,0.9689674,0.00057217595],"about_ca_topic_score_codex":0.000004518401,"about_ca_topic_score_gemma":0.0000024552046,"teacher_disagreement_score":0.87699157,"about_ca_system_score_codex":0.00006032455,"about_ca_system_score_gemma":0.00002392964,"threshold_uncertainty_score":0.44945115},"labels":[],"label_agreement":null},{"id":"W2467782848","doi":"10.1016/j.ijpsycho.2016.06.018","title":"Oscillatory profiles of positive, negative and neutral feedback stimuli during adaptive decision making","year":2016,"lang":"en","type":"article","venue":"International Journal of Psychophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Negative feedback; Negativity effect; Reinforcement learning; Electroencephalography; Psychology; Positive feedback; Event-related potential; Electrophysiology; Reinforcement; Contingent negative variation; Error-related negativity; Cognitive psychology; Neuroscience; Cognition; Audiology; Computer science; Artificial intelligence; Social psychology; Anterior cingulate cortex; Physics","score_opus":0.020707337894271628,"score_gpt":0.29956063597749544,"score_spread":0.2788532980832238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2467782848","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965076,0.000017769706,0.0012101298,0.00049772527,0.0014773983,0.000067351146,0.000038544284,0.0000050776375,0.00017842533],"genre_scores_gemma":[0.9986636,0.00011677577,0.0007198018,0.00020091544,0.0002488249,0.0000010852478,2.0417261e-7,0.000008749124,0.00004004175],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990148,0.00009209789,0.00035254558,0.00019519533,0.00022751822,0.00011781894],"domain_scores_gemma":[0.9984462,0.00069127785,0.0004816403,0.00006537892,0.0002721279,0.00004332231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007735953,0.00010148752,0.00017871475,0.00019471602,0.00004146092,0.00001266294,0.00023174447,0.00004948193,0.000033067503],"category_scores_gemma":[0.00029533473,0.000065296525,0.00008556782,0.000070963266,0.00019737532,0.0002759072,0.00006992229,0.00011720901,0.00000481022],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022742376,0.000049474867,0.0005275354,0.0000026541245,0.000029917832,0.000029901126,0.00006570099,0.00010906885,0.98261034,0.0013618678,0.00004982373,0.012889458],"study_design_scores_gemma":[0.003625971,0.0014516478,0.43453532,0.0007256491,0.000018638002,0.0005934065,0.00007782658,0.00063101243,0.49893156,0.059130058,0.000049280374,0.00022962622],"about_ca_topic_score_codex":0.0000021157477,"about_ca_topic_score_gemma":0.0000011688269,"teacher_disagreement_score":0.48367882,"about_ca_system_score_codex":0.000050002163,"about_ca_system_score_gemma":0.00002522052,"threshold_uncertainty_score":0.2662715},"labels":[],"label_agreement":null},{"id":"W2468547988","doi":"10.1016/j.celrep.2016.06.031","title":"Dopamine D1 and D2 Receptors Make Dissociable Contributions to Dorsolateral Prefrontal Cortical Regulation of Rule-Guided Oculomotor Behavior","year":2016,"lang":"en","type":"article","venue":"Cell Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Stimulus (psychology); Dorsolateral prefrontal cortex; Stimulation; Eye movement; Dopamine receptor D2; Psychology; Prefrontal cortex; Dopamine; Saccadic masking; Working memory; Cognition; Cognitive psychology","score_opus":0.01380655914651656,"score_gpt":0.25951083624871457,"score_spread":0.245704277102198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2468547988","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99710315,0.0000049898886,0.0005770479,0.00031362093,0.00081361306,0.00048969744,0.00005887623,0.000048470563,0.00059050636],"genre_scores_gemma":[0.991154,0.000007366388,0.00011275748,0.000051136714,0.00006608402,0.000039688253,0.000014563159,0.000015045196,0.008539373],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985849,0.00006213275,0.00044864762,0.00041334078,0.00024441857,0.00024652135],"domain_scores_gemma":[0.99916935,0.00010609852,0.0002255021,0.00024185327,0.00009824323,0.00015893743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019256343,0.00012704227,0.0001873097,0.000059156493,0.00013273594,0.00003006796,0.000050648923,0.00008012303,0.00015588095],"category_scores_gemma":[0.00056258,0.000091442365,0.000058992136,0.00012977296,0.00009451423,0.00016735397,0.00007142945,0.000069081056,0.0000075642743],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030210282,0.000093679155,0.012866686,0.000007739708,0.0000015471767,0.00004758285,0.0000236868,0.0000022711406,0.9847662,0.00021831926,0.00026302744,0.0016790422],"study_design_scores_gemma":[0.00045017514,0.00024689554,0.17859647,0.00004176509,0.000041268784,0.00024108257,0.0000069949297,0.0001403534,0.81581396,0.00064126914,0.0035671298,0.00021261982],"about_ca_topic_score_codex":0.00002637694,"about_ca_topic_score_gemma":0.000006225719,"teacher_disagreement_score":0.16895223,"about_ca_system_score_codex":0.00010012567,"about_ca_system_score_gemma":0.000031949923,"threshold_uncertainty_score":0.37289116},"labels":[],"label_agreement":null},{"id":"W2471527066","doi":"10.1038/srep28243","title":"Effects of Long-term Diving Training on Cortical Gyrification","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Institute of Psychology, Chinese Academy of Sciences; China Postdoctoral Science Foundation; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Gyrification; Neuroscience; Biology; Physical medicine and rehabilitation; Computer science; Psychology; Cerebral cortex; Medicine","score_opus":0.03251964395321593,"score_gpt":0.26624600769098655,"score_spread":0.23372636373777061,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2471527066","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902762,0.0000038354474,0.0018713467,0.00020900878,0.006725542,0.00022798988,8.9373947e-7,0.00005777267,0.0006273953],"genre_scores_gemma":[0.9978785,0.000003117716,0.000019908923,0.000052835923,0.000050212937,0.000011912232,0.0000017206596,0.000010260004,0.001971525],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982388,0.000081995415,0.00033260294,0.0006492559,0.00046946015,0.00022790644],"domain_scores_gemma":[0.99869967,0.0004890544,0.00025314343,0.00043141376,0.000046130717,0.000080619546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057338696,0.00009394358,0.00012626991,0.00012323922,0.00021454693,0.000079864345,0.000103764534,0.000055603385,0.000036112342],"category_scores_gemma":[0.002146824,0.00006058081,0.000068836925,0.00028636132,0.00026363105,0.00017053996,0.000036547382,0.000090554175,0.000027610238],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000814528,0.000058263275,0.0024515672,0.00002162716,0.0000011806509,0.0001699477,0.00007051378,0.0000029141283,0.9702158,0.0009160299,0.00012243117,0.025961557],"study_design_scores_gemma":[0.00010975379,0.00006279178,0.08800134,0.00013188267,0.0000072565695,0.00009283663,0.0000026457142,0.000109719425,0.9095493,0.0016314327,0.00020671291,0.000094334595],"about_ca_topic_score_codex":7.594444e-7,"about_ca_topic_score_gemma":0.0000013830307,"teacher_disagreement_score":0.08554977,"about_ca_system_score_codex":0.000031996467,"about_ca_system_score_gemma":0.00003944887,"threshold_uncertainty_score":0.2570104},"labels":[],"label_agreement":null},{"id":"W2471794083","doi":"10.1385/1-59259-043-8:395","title":"Recording and Analysis of Putative Direct Electrical Interactions in the Mammalian Brain","year":2003,"lang":"en","type":"article","venue":"Humana Press eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Holland Bloorview Kids Rehabilitation Hospital; University of Toronto","funders":"","keywords":"Neuroscience; Toadfish; Neurotransmission; Electrical Synapses; Transmission (telecommunications); Coupling (piping); Biology; Materials science; Computer science; Cell biology; Telecommunications; Receptor","score_opus":0.08027574356087916,"score_gpt":0.31774522584505027,"score_spread":0.2374694822841711,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2471794083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8776056,0.000069931906,0.000416915,0.00016960334,0.00013176768,0.00030108125,0.000017661063,0.00002544465,0.12126199],"genre_scores_gemma":[0.9982138,0.000011416464,0.000024126162,0.00029510344,0.0000073847527,0.000018655603,0.0000015984109,0.0000050302074,0.0014228404],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99903095,0.0003606107,0.00015818844,0.00021424332,0.000111294125,0.00012471103],"domain_scores_gemma":[0.99907714,0.0006877896,0.00007565084,0.00012658868,0.000012872728,0.000019944027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022189137,0.00007097368,0.00013735658,0.00020910968,0.00009258484,0.000043124124,0.00008992282,0.000015858419,0.00000856644],"category_scores_gemma":[0.00033678772,0.000052073094,0.000057485922,0.0001836503,0.000058314414,0.000056010405,0.00001676584,0.00013454119,3.3529716e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016153083,0.00029087486,0.0021701737,0.00004493778,0.00026573092,0.000092734714,0.009817412,0.0009801497,0.2642222,0.6155493,0.00089585606,0.10550906],"study_design_scores_gemma":[0.0029306493,0.0011865371,0.085386746,0.000102747086,0.0020092018,0.00013730592,0.0012702254,0.27021348,0.47266614,0.030450348,0.13187882,0.0017677817],"about_ca_topic_score_codex":0.00018383736,"about_ca_topic_score_gemma":0.00020855946,"teacher_disagreement_score":0.585099,"about_ca_system_score_codex":0.00001542074,"about_ca_system_score_gemma":0.0000053260924,"threshold_uncertainty_score":0.21234791},"labels":[],"label_agreement":null},{"id":"W2474273567","doi":"10.3389/fnhum.2016.00309","title":"Stabilizing Constructs through Collaboration across Different Research Fields as a Way to Foster the Integrative Approach of the Research Domain Criteria (RDoC) Project","year":2016,"lang":"en","type":"article","venue":"Frontiers in Human Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Research Domain Criteria; Domain (mathematical analysis); Computer science; Data science; Field (mathematics); Psychology; Management science; Mathematics; Engineering; Cognition; Neuroscience","score_opus":0.1592349397437719,"score_gpt":0.4249651777317524,"score_spread":0.2657302379879805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2474273567","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98416305,0.000010533347,0.0058066323,0.00444003,0.0016895751,0.0019567015,0.00004602066,0.000020442974,0.001867041],"genre_scores_gemma":[0.99763054,0.000021175507,0.00032691887,0.00075338536,0.000052896125,0.00021382254,4.3335314e-7,0.00001746003,0.0009833539],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9939269,0.002481269,0.00040796952,0.0009613197,0.0014142232,0.00080834073],"domain_scores_gemma":[0.99786395,0.0008128553,0.000120991645,0.00082916993,0.00030773584,0.00006529911],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0022594244,0.00019635621,0.0002370422,0.0002349874,0.0014038073,0.00034499844,0.0015436654,0.000088840214,0.000006958522],"category_scores_gemma":[0.0042712917,0.000089355024,0.000062845844,0.0029964275,0.0030279425,0.00050491164,0.00090399483,0.00061670004,0.0000010562574],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012552217,0.000108873035,0.0021041904,0.000022629909,8.6815174e-7,0.000004841721,0.012294259,0.000025176645,0.9664618,0.011262305,0.0064136554,0.001175922],"study_design_scores_gemma":[0.0016230881,0.0023411363,0.014464634,0.000493858,0.0000055459836,0.0000463533,0.037469305,0.004309124,0.8317771,0.09851276,0.008332193,0.00062490767],"about_ca_topic_score_codex":0.00006198211,"about_ca_topic_score_gemma":0.00016964409,"teacher_disagreement_score":0.13468467,"about_ca_system_score_codex":0.00024266823,"about_ca_system_score_gemma":0.0001492806,"threshold_uncertainty_score":0.9998962},"labels":[],"label_agreement":null},{"id":"W2474373343","doi":"10.1007/978-3-319-26911-5_2","title":"Single Neuron Models","year":2016,"lang":"en","type":"book-chapter","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biological neuron model; Statistical physics; Type (biology); Binary number; Noise (video); Computer science; Neuron; Mathematics; Physics; Artificial intelligence; Neuroscience; Artificial neural network; Psychology; Biology; Ecology","score_opus":0.06661868486604326,"score_gpt":0.22775652564505344,"score_spread":0.16113784077901017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2474373343","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00007825536,0.000009453083,0.0013077637,0.0006201829,0.0008586169,0.0001532067,0.00003109846,0.00016612228,0.9967753],"genre_scores_gemma":[0.01926279,0.00008138311,0.000019860094,0.0022414753,0.00019281005,0.0000023159225,0.000002258966,0.000059819482,0.9781373],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99887675,0.000009997865,0.00016953946,0.00051606324,0.0002457328,0.00018193817],"domain_scores_gemma":[0.9993891,0.000114110204,0.00009595678,0.00031231393,0.00002166157,0.000066857945],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000028137112,0.00022040535,0.00016317384,0.0000836136,0.00006642741,0.00004594105,0.00018166922,0.00015185792,0.0009780239],"category_scores_gemma":[0.000026172585,0.00015100985,0.0001116208,0.0000125033885,0.00006676867,0.00015542946,0.00009288662,0.00016151038,0.0008372735],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008582274,0.0000074974405,3.2896452e-8,0.0000049119494,0.0000011463475,0.000020310728,0.000001599791,0.000008836028,0.11702483,0.864451,0.0019859916,0.016485283],"study_design_scores_gemma":[0.00014877567,0.00018390024,4.0189522e-7,0.000050026865,0.000011101813,0.000034539025,1.6296693e-7,0.0027605838,0.009077835,0.541693,0.4456653,0.0003744316],"about_ca_topic_score_codex":9.951592e-7,"about_ca_topic_score_gemma":0.0000027431474,"teacher_disagreement_score":0.4436793,"about_ca_system_score_codex":0.000039365706,"about_ca_system_score_gemma":0.000015094557,"threshold_uncertainty_score":0.9999407},"labels":[],"label_agreement":null},{"id":"W2478635388","doi":"10.1016/b978-0-12-801371-7.00018-1","title":"Neuroimaging of the Mind’s Ear Using Representational Similarity Analysis","year":2015,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Auditory imagery; Neuroimaging; Functional magnetic resonance imaging; Stimulus (psychology); Auditory cortex; Mental image; Sensory memory; Sensory system; Psychology; Similarity (geometry); Cognitive science; Computer science; Cognitive psychology; Neuroscience; Cognition; Artificial intelligence; Working memory","score_opus":0.08772403228798174,"score_gpt":0.30424391904208836,"score_spread":0.2165198867541066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2478635388","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014683029,0.00005567146,0.000022566433,0.00017664982,0.0007320341,0.00039297645,0.00014558631,0.000021768778,0.9837697],"genre_scores_gemma":[0.100075014,0.0000075114044,0.000121916004,0.0005267103,0.00016714369,0.0000032259347,0.000010623197,0.00004828985,0.89903957],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980202,0.00010079132,0.0004176676,0.00056353904,0.0007171945,0.0001806398],"domain_scores_gemma":[0.9984906,0.00014520255,0.0004899968,0.00066412106,0.00013910801,0.00007101108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023577998,0.00024553676,0.00038239633,0.00021931663,0.00015651816,0.000047810347,0.00038171685,0.00011990698,0.0001228848],"category_scores_gemma":[0.0001818086,0.00018770651,0.00046245928,0.0000998891,0.00026153415,0.00006116161,0.00026878758,0.00041747765,0.000010250797],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011989406,0.00006885606,0.0014572616,0.00017825609,0.00058913947,0.00017189296,0.0005759464,0.0056995223,0.10585923,0.018155567,0.00034330235,0.8667811],"study_design_scores_gemma":[0.00116637,0.00014808323,0.0025197845,0.0004803678,0.005217116,0.00024200017,0.000032526594,0.06694136,0.017896669,0.09586906,0.8074315,0.002055159],"about_ca_topic_score_codex":0.0000030103429,"about_ca_topic_score_gemma":0.00001717262,"teacher_disagreement_score":0.86472595,"about_ca_system_score_codex":0.000068227695,"about_ca_system_score_gemma":0.00012785614,"threshold_uncertainty_score":0.76544493},"labels":[],"label_agreement":null},{"id":"W2479541033","doi":"10.1007/978-3-319-32265-0_7","title":"Development of Human Neurophysiological Activity and Network Dynamics","year":2016,"lang":"en","type":"book-chapter","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Neurophysiology; Synchronization (alternating current); Neuroscience; Electroencephalography; Computer science; Network dynamics; Brain activity and meditation; Cognition; Dynamics (music); Phase synchronization; Perception; Cognitive science; Psychology; Mathematics; Telecommunications","score_opus":0.04090788460762609,"score_gpt":0.24679907053204453,"score_spread":0.20589118592441844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2479541033","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25761813,0.0000066271855,0.00073880475,0.00011493262,0.00046158276,0.0003169108,0.000029305318,0.00009823931,0.7406155],"genre_scores_gemma":[0.5482647,0.00007410807,0.00031826823,0.00028974336,0.0001569525,0.0000041919084,0.000006371625,0.00004217823,0.4508435],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989515,0.000020198799,0.00022017957,0.00046120724,0.00017355844,0.00017333798],"domain_scores_gemma":[0.9993378,0.00013088668,0.00026694534,0.00018650864,0.000020197,0.000057645455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000056752375,0.00022029442,0.00029078347,0.000040594736,0.00015182437,0.0000149746675,0.00012827784,0.00016420885,0.00014834556],"category_scores_gemma":[0.0000257871,0.00014458351,0.000060313752,0.00001735499,0.00016752258,0.000045242985,0.00022549354,0.00018944399,0.000019861258],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027328748,0.000013450649,0.0000042272627,0.000021013184,0.0000050918343,0.000007542313,0.000003612063,0.0000018508808,0.3887506,0.5722058,0.000060053095,0.038899433],"study_design_scores_gemma":[0.0027134507,0.0036169435,0.027532956,0.0012594393,0.00018943907,0.00014573109,0.0000067712954,0.011970996,0.07714361,0.74043155,0.12912582,0.005863278],"about_ca_topic_score_codex":7.655009e-7,"about_ca_topic_score_gemma":0.000018454577,"teacher_disagreement_score":0.311607,"about_ca_system_score_codex":0.000038709826,"about_ca_system_score_gemma":0.000022917913,"threshold_uncertainty_score":0.5895944},"labels":[],"label_agreement":null},{"id":"W2479833819","doi":"10.1017/cbo9780511499722.007","title":"Sensory Input–Based Adaptation and Brain Architecture","year":2006,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Sensory system; Adaptation (eye); Neuroscience; Computer science; Architecture; Sensory Adaptation; Cognitive science; Communication; Psychology; Geography","score_opus":0.029131460198400017,"score_gpt":0.19304528401045565,"score_spread":0.16391382381205563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2479833819","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020392716,0.000018983332,0.0040031183,0.0001372067,0.00021807828,0.000404805,0.0003998925,0.0001650766,0.99261355],"genre_scores_gemma":[0.011550072,0.000011089728,0.000081126156,0.0007394888,0.0000983066,4.5671212e-7,0.000054049568,0.00004281755,0.9874226],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99869996,0.00007223481,0.00013612122,0.0006275964,0.00025264928,0.00021146264],"domain_scores_gemma":[0.9991139,0.00025537546,0.00018271139,0.0002955653,0.000048015085,0.000104393286],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00005392517,0.00031137478,0.00023984912,0.0002205257,0.00022469972,0.000057652174,0.00018589829,0.0002694917,0.0000020617542],"category_scores_gemma":[0.00003293094,0.0003492115,0.00011652646,0.000010600275,0.00025737338,0.00006173851,0.00012595503,0.000461006,0.0000046671944],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029840623,0.000018990599,0.0000013723446,0.00017605496,0.000021534024,0.0007516782,0.000035369812,0.0011120543,0.036509857,0.92576957,0.025067491,0.010237615],"study_design_scores_gemma":[0.0006855319,0.00010240076,0.000023100678,0.000088648325,0.00007130308,0.00003853142,0.000004677911,0.009803261,0.0038858198,0.00006340055,0.98474354,0.00048979296],"about_ca_topic_score_codex":0.0000787877,"about_ca_topic_score_gemma":0.0000062662066,"teacher_disagreement_score":0.959676,"about_ca_system_score_codex":0.00008651068,"about_ca_system_score_gemma":0.000055160745,"threshold_uncertainty_score":0.999896},"labels":[],"label_agreement":null},{"id":"W2481432072","doi":"10.1038/ncomms12141","title":"Dynamic reconfiguration of the default mode network during narrative comprehension","year":2016,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":686,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Institute of Mental Health; National Institutes of Health; Intel Corporation","keywords":"Default mode network; Narrative; Stimulus (psychology); ENCODE; Neuroscience; Computer science; Comprehension; Control reconfiguration; Cognitive science; Cognitive psychology; Psychology; Communication; Functional connectivity; Biology; Linguistics; Gene","score_opus":0.022184769136599794,"score_gpt":0.2911504652935754,"score_spread":0.26896569615697563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2481432072","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98297846,0.00021009962,0.0003234859,0.013620292,0.0005854072,0.00034598197,0.000033147375,0.00006292081,0.0018401953],"genre_scores_gemma":[0.9985136,0.0002608604,0.0003497053,0.0003376692,0.000017960816,0.000016838805,0.000005732036,0.000010452321,0.00048718904],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990648,0.0002832089,0.00020060822,0.0001723937,0.00015418672,0.00012479142],"domain_scores_gemma":[0.99798,0.000509717,0.00018875406,0.0012018199,0.00009600753,0.000023720555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007726822,0.00008678288,0.00009470701,0.000033029948,0.00055649976,0.000014199299,0.00073433685,0.00012294033,0.0000127794665],"category_scores_gemma":[0.00036123281,0.000048775033,0.0000692013,0.0003322901,0.0001790679,0.00015097737,0.00023402194,0.00037257068,0.000007014882],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017663053,0.000030973766,0.00030283708,0.000003330743,0.0000032239286,1.0429042e-7,0.0001612991,0.0003806397,0.9836092,0.013921764,0.00030235737,0.0012666311],"study_design_scores_gemma":[0.0024815006,0.00019339389,0.2993274,0.0009039483,0.000083408646,0.00010264357,0.00038568297,0.17616183,0.46044153,0.036582407,0.022386061,0.0009501998],"about_ca_topic_score_codex":0.000006404933,"about_ca_topic_score_gemma":0.00039254327,"teacher_disagreement_score":0.52316767,"about_ca_system_score_codex":0.000057716457,"about_ca_system_score_gemma":0.000024150706,"threshold_uncertainty_score":0.42802027},"labels":[],"label_agreement":null},{"id":"W2481575045","doi":"10.1017/cbo9781107447615.023","title":"Synaptic plasticity and learning","year":2014,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Synaptic augmentation; Long-term potentiation; Neuroscience; Synaptic plasticity; Neural facilitation; Metaplasticity; Synaptic fatigue; Nonsynaptic plasticity; Postsynaptic potential; Post-tetanic potentiation; Synapse; Synaptic scaling; Homosynaptic plasticity; Facilitation; Excitatory postsynaptic potential; Psychology; Biology; Inhibitory postsynaptic potential; Receptor","score_opus":0.02211001603946804,"score_gpt":0.18616132276803696,"score_spread":0.1640513067285689,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2481575045","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005734461,0.000010233253,0.0014344885,0.000013243797,0.00021550896,0.00018972335,0.00004132441,0.00014966003,0.99221134],"genre_scores_gemma":[0.09002792,0.000053380892,0.000010750525,0.00011835068,0.0000728456,2.0530098e-7,0.0000052441787,0.000030819217,0.9096805],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99887294,0.0000732859,0.00010839164,0.0005535781,0.00018594081,0.00020584567],"domain_scores_gemma":[0.9991628,0.0003508823,0.00015732902,0.0001628576,0.00003629995,0.00012983491],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000060860184,0.00025435133,0.00025794725,0.00011598194,0.00034482317,0.000055243203,0.00020095058,0.0002147811,0.00000352449],"category_scores_gemma":[0.0001038144,0.00028421445,0.00008416342,0.0000053240215,0.00025643018,0.000047836507,0.00029167478,0.00068498205,0.000017583368],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006300495,0.0000026547925,0.0000012701277,0.00006168194,0.00002328676,0.00015443857,0.000010191902,0.000022586397,0.0057282965,0.99061555,0.001288483,0.0020285458],"study_design_scores_gemma":[0.00039047652,0.00016353282,0.000016809621,0.00010356346,0.00012665297,0.000063838044,0.0000051126904,0.0078069256,0.0009985205,0.000022447031,0.9898635,0.00043861123],"about_ca_topic_score_codex":0.000024572932,"about_ca_topic_score_gemma":7.9784064e-7,"teacher_disagreement_score":0.99059314,"about_ca_system_score_codex":0.00006441079,"about_ca_system_score_gemma":0.000021458683,"threshold_uncertainty_score":0.999961},"labels":[],"label_agreement":null},{"id":"W2485050648","doi":"10.3389/fnhum.2016.00387","title":"Phase-Amplitude Coupling Is Elevated in Deep Sleep and in the Onset Zone of Focal Epileptic Seizures","year":2016,"lang":"en","type":"article","venue":"Frontiers in Human Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":105,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Austrian Science Fund","keywords":"Ictal; Coupling (piping); Electroencephalography; Abnormality; Epilepsy; Neuroscience; Nuclear magnetic resonance; Rhythm; Sleep (system call); Audiology; Electrophysiology; Physics; Internal medicine; Chemistry; Medicine; Cardiology; Psychology; Materials science; Psychiatry","score_opus":0.028421192368986572,"score_gpt":0.2797073821760794,"score_spread":0.25128618980709283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2485050648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98918366,0.000030350533,0.009378023,0.0005105938,0.00049912784,0.0003326428,0.000015154656,0.000016753485,0.000033681736],"genre_scores_gemma":[0.9985505,0.00006719747,0.00009672204,0.0011868489,0.00001310941,0.000022103637,5.7419174e-7,0.000011613966,0.00005136965],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979954,0.00015153774,0.00041493567,0.0006461248,0.00037357653,0.00041845153],"domain_scores_gemma":[0.9992043,0.0002760023,0.00013167523,0.0003121756,0.000015014258,0.000060843682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057202467,0.00016420987,0.00023415641,0.0003745328,0.00013160659,0.000059645205,0.0005445808,0.00005747046,0.000007876511],"category_scores_gemma":[0.0006837935,0.00010940037,0.00003363828,0.0009067515,0.00057835015,0.000304145,0.00009865557,0.00023230318,5.0869863e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010418424,0.0003749409,0.04285653,0.000019195764,4.204135e-7,0.00010150518,0.000490827,0.0007613883,0.95167017,0.0005008197,0.00015042622,0.002969621],"study_design_scores_gemma":[0.006827044,0.0015564249,0.22086725,0.00025846958,0.000012555135,0.00012015601,0.00033868235,0.6679365,0.091053374,0.00967509,0.00061508385,0.00073938235],"about_ca_topic_score_codex":0.00002884144,"about_ca_topic_score_gemma":0.00009965428,"teacher_disagreement_score":0.86061674,"about_ca_system_score_codex":0.000054545504,"about_ca_system_score_gemma":0.000023631164,"threshold_uncertainty_score":0.44612175},"labels":[],"label_agreement":null},{"id":"W2486061718","doi":"10.1017/cbo9780511541735.009","title":"Comparison of state-dependent activity patterns in the thalamocortical, hippocampal and amygdalocortical systems","year":2007,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Neuroscience; Hippocampal formation; Depolarization; Physics; Rhythm; Chemistry; Biophysics; Biology; Acoustics","score_opus":0.07013853627916285,"score_gpt":0.2724509159170375,"score_spread":0.20231237963787468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2486061718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54572845,0.000024463536,0.001187648,0.000017293447,0.00031466078,0.0009505631,0.00027458582,0.000043643096,0.4514587],"genre_scores_gemma":[0.8415419,0.000043113367,0.0000028553834,0.00003896277,0.00003335834,0.0000010020894,0.00000456846,0.000020283096,0.15831396],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982507,0.00015959704,0.00028779855,0.00051697687,0.00049698696,0.000287919],"domain_scores_gemma":[0.9987354,0.00045542745,0.00027312466,0.00038508204,0.000046924473,0.00010398651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022437771,0.00027653205,0.00045037022,0.000167557,0.000114649156,0.000062019586,0.00037562655,0.00021876539,0.0000013573394],"category_scores_gemma":[0.000032619926,0.00023732978,0.000095662734,0.000015856223,0.00034064832,0.00007878705,0.00024818582,0.00069721043,0.0000018809736],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069447694,0.00019464872,0.0016759877,0.00044220668,0.000041548126,0.0009906463,0.00027303505,0.00008731183,0.012145843,0.9784584,0.00048036117,0.004515516],"study_design_scores_gemma":[0.024542293,0.009718921,0.12463318,0.0063391235,0.0036823105,0.0019936743,0.0046293857,0.17245974,0.16159803,0.00077463465,0.47533524,0.014293476],"about_ca_topic_score_codex":0.00027658782,"about_ca_topic_score_gemma":0.000025655687,"teacher_disagreement_score":0.9776838,"about_ca_system_score_codex":0.00010246614,"about_ca_system_score_gemma":0.00003685013,"threshold_uncertainty_score":0.9678027},"labels":[],"label_agreement":null},{"id":"W2486143292","doi":"10.1017/cbo9781107447615.021","title":"Memory and attractor dynamics","year":2014,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Recall; Dynamics (music); Phone; Taste; Psychology; Communication; Cognitive psychology; Linguistics; Pedagogy; Neuroscience; Philosophy","score_opus":0.02581692141516381,"score_gpt":0.19318665173920657,"score_spread":0.16736973032404276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2486143292","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022393707,0.000015208646,0.00054664,0.000038681123,0.00048566033,0.00028541323,0.00028126637,0.0001391206,0.99596864],"genre_scores_gemma":[0.016110728,0.00009598541,0.000014571959,0.00028223035,0.00011457932,2.9040845e-7,0.00002523646,0.000047268317,0.9833091],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987226,0.000042455937,0.0001361343,0.0006444036,0.0002266812,0.0002276852],"domain_scores_gemma":[0.99904263,0.00017186676,0.00018979312,0.00038700752,0.00004678253,0.00016193716],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000061543564,0.00031520886,0.00030118806,0.00013608797,0.00022265459,0.00006184017,0.0002981631,0.0002944656,0.000004381081],"category_scores_gemma":[0.00003045682,0.0003531533,0.00012253516,0.000006096564,0.00030131254,0.00006953702,0.00030435828,0.00045898958,0.000016238302],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055475815,0.0000041688786,7.91703e-7,0.00006336893,0.000012500611,0.00016429063,0.0000067818214,0.0000020457276,0.0019592464,0.98669505,0.0045417934,0.0064944876],"study_design_scores_gemma":[0.0004911099,0.000105107545,0.000024375653,0.00008519131,0.00011535035,0.000076346165,0.0000069083753,0.0038759871,0.0017404732,0.00004506471,0.99284786,0.0005862541],"about_ca_topic_score_codex":0.0000357267,"about_ca_topic_score_gemma":0.0000043334385,"teacher_disagreement_score":0.98830605,"about_ca_system_score_codex":0.00014477539,"about_ca_system_score_gemma":0.00003210809,"threshold_uncertainty_score":0.99989206},"labels":[],"label_agreement":null},{"id":"W2486514532","doi":"10.1523/jneurosci.3176-15.2016","title":"A Quantitative Analysis of Context-Dependent Remapping of Medial Frontal Cortex Neurons and Ensembles","year":2016,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Western University","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Context (archaeology); Population; Flexibility (engineering); Psychology; Task (project management); Computer science; Biology; Medicine","score_opus":0.046903644831539616,"score_gpt":0.2913463775501781,"score_spread":0.2444427327186385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2486514532","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950147,0.000056782806,0.0036292619,0.00045236514,0.00066554453,0.0000733017,0.000040907387,0.0000049152545,0.00006217733],"genre_scores_gemma":[0.99930376,0.00027214803,0.00008964689,0.0002467339,0.000020073818,5.097438e-7,6.426289e-8,0.000006328831,0.000060735358],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9980722,0.00017378989,0.0006170243,0.00028812257,0.00066747156,0.00018137929],"domain_scores_gemma":[0.9977909,0.0008599887,0.0009189162,0.00016257931,0.00015471641,0.00011291434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004129865,0.00011561984,0.00043787184,0.00050200714,0.00007793818,0.000024748764,0.0003095392,0.000030882624,0.000008884389],"category_scores_gemma":[0.0024757972,0.00007295585,0.00020011206,0.00074743386,0.000521246,0.0004384682,0.0000886425,0.00011882778,4.355004e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014659927,0.00006407484,0.002524108,0.000006922233,0.000013772137,0.000041716223,0.00013708546,0.00009538709,0.9931865,0.0010826377,0.000012673384,0.0026885332],"study_design_scores_gemma":[0.0020640423,0.0051127714,0.5357733,0.0002240377,0.0007095682,0.0005838931,0.00040444115,0.03620521,0.41727456,0.00085866475,0.00040627123,0.0003832196],"about_ca_topic_score_codex":0.000012645197,"about_ca_topic_score_gemma":0.000021989468,"teacher_disagreement_score":0.57591194,"about_ca_system_score_codex":0.000019965939,"about_ca_system_score_gemma":0.00006829085,"threshold_uncertainty_score":0.29750532},"labels":[],"label_agreement":null},{"id":"W2493091018","doi":"10.22215/etd/2007-06320","title":"Chaotic systems for pattern recognition and brain modelling","year":2007,"lang":"en","type":"dissertation","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Canadian Heritage","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Ontario","keywords":"Chaotic; Computer science; Humanities; Artificial intelligence; Philosophy","score_opus":0.07929407010332307,"score_gpt":0.29240944044341516,"score_spread":0.2131153703400921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2493091018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8101208,0.00013247177,0.17918618,0.00014115898,0.0037868738,0.0015899953,0.00014873751,0.00015835326,0.004735411],"genre_scores_gemma":[0.9613049,0.0003314131,0.00016041468,0.0011263541,0.00044464937,0.0001469101,0.0017605933,0.0000947699,0.034629975],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988973,0.000028855238,0.00024627757,0.0004546358,0.00016631148,0.00020661826],"domain_scores_gemma":[0.9992616,0.00038039632,0.00014609353,0.00009719241,0.00006140648,0.00005328089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001905254,0.00017752452,0.0001765907,0.00015620107,0.00012884103,0.00012012919,0.000062491956,0.0001922351,0.000013010302],"category_scores_gemma":[0.000099914294,0.00016138917,0.000056463043,0.000085256324,0.0000108138165,0.00010257028,0.0000061070245,0.00014190853,0.00002104283],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009346255,0.00028426302,0.000036856938,0.0074945493,0.00005591169,0.0000530188,0.0016295661,0.007975912,0.31090426,0.0043772245,0.005356891,0.6608969],"study_design_scores_gemma":[0.00041918483,0.00018625327,0.000025781266,0.00027008058,0.000038826747,0.000021754984,0.0003348456,0.9858853,0.008225462,0.0028177798,0.001336818,0.00043786882],"about_ca_topic_score_codex":0.00009855928,"about_ca_topic_score_gemma":0.00006577037,"teacher_disagreement_score":0.97790945,"about_ca_system_score_codex":0.000024013008,"about_ca_system_score_gemma":0.000013526195,"threshold_uncertainty_score":0.6581259},"labels":[],"label_agreement":null},{"id":"W2494117141","doi":"10.1098/rstb.2016.0278","title":"Inferring brain-computational mechanisms with models of activity measurements","year":2016,"lang":"en","type":"article","venue":"Philosophical Transactions of the Royal Society B Biological Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"European Research Council; Medical Research Council","keywords":"Computer science; Artificial intelligence; Voxel; Brain activity and meditation; Functional magnetic resonance imaging; Pattern recognition (psychology); Leverage (statistics); Probabilistic logic; Inference; Machine learning; Generative model; Computational model; Set (abstract data type); Convolutional neural network; Electroencephalography; Neuroscience; Psychology","score_opus":0.1368311443561623,"score_gpt":0.2802349556162428,"score_spread":0.14340381126008048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2494117141","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5643058,0.000003310136,0.42299652,0.011904574,0.00010042719,0.00017487508,0.000029515084,0.000031217765,0.000453806],"genre_scores_gemma":[0.9975613,0.0000062983913,0.002037643,0.00033642087,0.000018136228,0.000010361428,1.2316713e-7,0.0000039538754,0.000025775347],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984454,0.0001546809,0.00020627302,0.0003735426,0.0006050775,0.00021500801],"domain_scores_gemma":[0.9989461,0.00064493826,0.00015338113,0.00013272105,0.00006183451,0.00006104048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004209986,0.00012759886,0.00018085053,0.000020201658,0.0004080708,0.000012976307,0.00044414029,0.00008995325,0.00005331207],"category_scores_gemma":[0.00012371533,0.000052513275,0.00025383625,0.00041596396,0.0016447906,0.00017066413,0.000037321708,0.00013380614,0.0000012326535],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013615652,0.00046276845,0.00088239583,0.000018769495,0.00003457632,2.792086e-7,0.00006634827,0.09395434,0.81758887,0.0815188,0.0000064138794,0.005330296],"study_design_scores_gemma":[0.00055042194,0.00088918704,0.0036346337,0.00006851854,0.000019177727,0.000004923998,0.000016118336,0.07841786,0.16849855,0.7476958,0.0000045316947,0.00020028162],"about_ca_topic_score_codex":0.000018228864,"about_ca_topic_score_gemma":0.0000014131484,"teacher_disagreement_score":0.666177,"about_ca_system_score_codex":0.000034834382,"about_ca_system_score_gemma":0.000046539615,"threshold_uncertainty_score":0.60603},"labels":[],"label_agreement":null},{"id":"W2498293822","doi":"10.1017/cbo9781107447615.007","title":"Nonlinear integrate-and-fire models","year":2014,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Biological neuron model; Nonlinear system; Coding (social sciences); Predictive coding; Neural coding; Artificial intelligence; Artificial neural network; Theoretical computer science; Biological system; Physics; Mathematics; Biology","score_opus":0.03519451275207524,"score_gpt":0.20009436261308344,"score_spread":0.1648998498610082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2498293822","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020730232,0.000022200951,0.0013024991,0.000038936174,0.00035778366,0.00029344266,0.0002384572,0.00016251953,0.9955111],"genre_scores_gemma":[0.013769122,0.00020488109,0.000057852845,0.00035485748,0.00012344494,4.1914814e-7,0.000023490618,0.00005057107,0.98541534],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986266,0.000044545384,0.00015283086,0.00070141465,0.00023439953,0.00024023373],"domain_scores_gemma":[0.9990796,0.00011435449,0.00017028031,0.00040625452,0.00006674938,0.00016279574],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006321107,0.00035058268,0.00033633845,0.000116585965,0.00023098962,0.00006821229,0.00036155106,0.0003034322,0.0000030702465],"category_scores_gemma":[0.000020971896,0.0003628228,0.00015224736,0.00000789657,0.00027930093,0.0000995731,0.00034725,0.0005332901,0.000018233919],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006802878,0.0000051261777,1.419274e-7,0.000042160977,0.000012231838,0.00012285532,0.000011184794,0.000017397695,0.0014204753,0.9895265,0.0042075575,0.004566345],"study_design_scores_gemma":[0.00041070388,0.000111852234,7.7428876e-7,0.00011665169,0.00009246291,0.00004499679,0.000005933178,0.06269374,0.0017927196,0.00019178842,0.9340295,0.00050887914],"about_ca_topic_score_codex":0.00006601766,"about_ca_topic_score_gemma":0.0000015078195,"teacher_disagreement_score":0.9893347,"about_ca_system_score_codex":0.00008336194,"about_ca_system_score_gemma":0.000041255415,"threshold_uncertainty_score":0.9998824},"labels":[],"label_agreement":null},{"id":"W2501371429","doi":"10.4018/978-1-4666-2539-6.ch003","title":"Task, Timing, and Representation in Visual Object Recognition","year":2012,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; Representation (politics); Cognitive neuroscience of visual object recognition; Hierarchy; Object (grammar); Task (project management); Artificial intelligence; Architecture; Pattern recognition (psychology); Human–computer interaction; Engineering","score_opus":0.05607604729669999,"score_gpt":0.29584417075093916,"score_spread":0.23976812345423917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2501371429","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047073353,0.0000691823,0.000033322463,0.00004307479,0.0006786875,0.00044599752,0.00010047188,0.00008493013,0.951471],"genre_scores_gemma":[0.9704945,0.00004324584,0.000042674943,0.0007126726,0.0002809065,0.000017699751,0.000020498175,0.000037517366,0.028350303],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986509,0.000044848166,0.00027421757,0.0005248076,0.00025899598,0.0002462117],"domain_scores_gemma":[0.99946415,0.00008021573,0.0001811947,0.00015795679,0.000027501965,0.000088970875],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009933891,0.0002455966,0.00022703626,0.00010144873,0.000076412536,0.00007432085,0.000079733,0.00024339472,0.000037955597],"category_scores_gemma":[0.00008821716,0.0002502318,0.00007014019,0.000027117007,0.00008153131,0.00011884491,0.000086477994,0.0002528577,0.00013482137],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028056873,0.00005532831,0.00031287904,0.00009610489,0.000018227393,0.00017862077,0.00016081528,0.0000046088553,0.038084883,0.60900795,0.0008575367,0.3509425],"study_design_scores_gemma":[0.0020090723,0.0006503698,0.0024283882,0.0006450029,0.0001716013,0.00061675074,0.000031993008,0.0015698912,0.012568983,0.96192545,0.015554029,0.0018284455],"about_ca_topic_score_codex":0.00007567539,"about_ca_topic_score_gemma":0.00010290169,"teacher_disagreement_score":0.92342114,"about_ca_system_score_codex":0.00012653739,"about_ca_system_score_gemma":0.000030914027,"threshold_uncertainty_score":0.999995},"labels":[],"label_agreement":null},{"id":"W2502304087","doi":"10.1371/journal.pbio.1002531","title":"A Causal Role for the Cortical Frontal Eye Fields in Microsaccade Deployment","year":2016,"lang":"en","type":"article","venue":"PLoS Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"Institute of Neurosciences, Mental Health and Addiction; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Werner Reichardt Centre for Neuroscience","keywords":"Microsaccade; Neuroscience; Eye movement; Biology; Software deployment; Psychology; Computer science","score_opus":0.030717121750975265,"score_gpt":0.2751642730212909,"score_spread":0.2444471512703156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2502304087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99096066,0.000026569383,0.0021648414,0.0060732975,0.0003473927,0.00027302944,0.000033281394,0.000024622079,0.000096317075],"genre_scores_gemma":[0.9979001,0.000027872515,0.00003167732,0.0015433611,0.00008626171,0.00007774009,0.0000013798949,0.0000067692677,0.00032481304],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993227,0.00006340038,0.00012088463,0.00023317251,0.00003725178,0.00022258288],"domain_scores_gemma":[0.9990941,0.0007307378,0.000027041131,0.00011458735,0.0000074577665,0.000026035204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000067498375,0.000067423505,0.000086360946,0.000023453267,0.000068578,0.000008423561,0.00013834973,0.00007767915,0.00004165025],"category_scores_gemma":[0.00034372922,0.000032753473,0.00003558158,0.000039589835,0.00009136396,0.000028482526,0.000053541633,0.00008754977,0.000029004348],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000083483515,0.000050834577,0.0065153334,0.0000014271425,0.0000027984167,0.0000017764705,0.000022547289,8.7727074e-7,0.98576856,0.0037145847,0.00013762461,0.0037001607],"study_design_scores_gemma":[0.0019730986,0.0010509812,0.038569674,0.000022035738,0.000023923243,0.000019346071,0.000038091304,0.010964425,0.91552943,0.012123877,0.019397078,0.00028802388],"about_ca_topic_score_codex":0.000023265846,"about_ca_topic_score_gemma":0.00016389367,"teacher_disagreement_score":0.070239104,"about_ca_system_score_codex":0.000025790076,"about_ca_system_score_gemma":0.0000123743275,"threshold_uncertainty_score":0.13356479},"labels":[],"label_agreement":null},{"id":"W2503101510","doi":"10.1007/978-1-60327-202-5_1","title":"Field Potential Generation and Current Source Density Analysis","year":2010,"lang":"en","type":"book-chapter","venue":"Neuromethods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Current source; Excitation; Physics; Field (mathematics); Current (fluid); Population; Local field potential; Neuroscience; Mathematics; Biology","score_opus":0.052609080589049964,"score_gpt":0.3042475823240912,"score_spread":0.25163850173504126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2503101510","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35387564,0.00034080318,0.55893844,0.002003872,0.016159216,0.0012687278,0.00014502421,0.0005421627,0.066726126],"genre_scores_gemma":[0.36340606,0.0034721473,0.016676145,0.009425798,0.0056785895,0.000034374236,0.00021605415,0.00037381868,0.600717],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982553,0.00014083894,0.00026953028,0.00081763946,0.0003276001,0.00018907795],"domain_scores_gemma":[0.9988893,0.00031779023,0.00021534749,0.00041240238,0.000048732756,0.00011641032],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023323452,0.00028785484,0.00036828057,0.00039145994,0.0002369669,0.00014188452,0.00015860511,0.00030064434,0.00024615138],"category_scores_gemma":[0.000339634,0.0002735183,0.00024874514,0.00013488469,0.00008694805,0.00008146765,0.00016604974,0.00097098225,0.000017157457],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030475136,0.000020233396,0.00003455969,0.000024023328,0.00003492479,0.000036338282,0.000016039878,0.000056556608,0.74570256,0.0062839068,0.00028404943,0.24747635],"study_design_scores_gemma":[0.0007617992,0.0009954874,0.0020307708,0.000043184693,0.003454347,0.00035541377,0.000001532207,0.13164215,0.22866659,0.023676632,0.60612565,0.0022464716],"about_ca_topic_score_codex":0.0000079767115,"about_ca_topic_score_gemma":0.000022148775,"teacher_disagreement_score":0.6058416,"about_ca_system_score_codex":0.000013547868,"about_ca_system_score_gemma":0.000018323726,"threshold_uncertainty_score":0.9999717},"labels":[],"label_agreement":null},{"id":"W2506360233","doi":"10.1162/jocn_a_01050","title":"The Contribution of Object Shape and Surface Properties to Object Ensemble Representation in Anterior-medial Ventral Visual Cortex","year":2016,"lang":"en","type":"article","venue":"Journal of Cognitive Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"University of Toronto; National Institutes of Health; National Science Foundation","keywords":"Visual cortex; Representation (politics); Artificial intelligence; Object (grammar); Sulcus; Psychology; Texture (cosmology); Pattern recognition (psychology); Cognitive neuroscience of visual object recognition; Computer vision; Computer science; Neuroscience; Image (mathematics)","score_opus":0.02862335235771057,"score_gpt":0.29757047363017647,"score_spread":0.2689471212724659,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2506360233","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974739,0.00004277886,0.0005669558,0.00076949265,0.00083065225,0.00027654407,0.0000075385124,0.0000057767957,0.000026346268],"genre_scores_gemma":[0.9991795,0.0003470006,0.0000044948515,0.00035401294,0.00005270731,0.000002686222,8.8240554e-8,0.0000065818945,0.000052964322],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982505,0.00028542624,0.00045776647,0.0002597779,0.0004869021,0.00025962113],"domain_scores_gemma":[0.9982583,0.00092348125,0.00040174255,0.00006423882,0.00026015582,0.00009208273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058019004,0.000106971806,0.00020214837,0.00011752807,0.0001626627,0.000083929706,0.00017180022,0.000028464143,0.0000024615867],"category_scores_gemma":[0.0076861465,0.000058501224,0.00005791599,0.00044030035,0.00039105513,0.0005254962,0.00007300658,0.00013311226,0.00000170581],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00074638845,0.000049848295,0.0055002365,0.000002606634,7.710909e-7,0.000032062817,0.00015658222,0.000012022199,0.9853624,0.000041196658,0.0000069788534,0.008088877],"study_design_scores_gemma":[0.00094515516,0.0014627917,0.20123969,0.00028611516,0.0000080567825,0.00018196525,0.00011666259,0.0019856005,0.7935225,0.00013021754,0.000031712498,0.00008953609],"about_ca_topic_score_codex":0.0000060526854,"about_ca_topic_score_gemma":0.000019613148,"teacher_disagreement_score":0.19573945,"about_ca_system_score_codex":0.000037317568,"about_ca_system_score_gemma":0.00010352779,"threshold_uncertainty_score":0.92015904},"labels":[],"label_agreement":null},{"id":"W2506447678","doi":"10.1007/978-1-4612-1260-7_185","title":"EEG and MEG Activity Accompanying Spontaneous Reversals of the Necker Cube","year":2000,"lang":"en","type":"book-chapter","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Cube (algebra); Neuroscience; Computer science; Sensory system; Perception; Process (computing); Electroencephalography; Reentry; Communication; Psychology; Mathematics; Geometry","score_opus":0.027537683078502587,"score_gpt":0.2268562894149876,"score_spread":0.19931860633648502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2506447678","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23548535,0.00002696667,0.00000881557,0.00046332786,0.00047578677,0.00038564546,0.000047875794,0.000052790198,0.7630535],"genre_scores_gemma":[0.590681,0.00018939708,0.000011758365,0.00060163,0.00003633594,0.0000012888462,7.849694e-7,0.00002585302,0.40845194],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989053,0.00003602155,0.00018825982,0.00042376627,0.0002896476,0.00015699271],"domain_scores_gemma":[0.9991456,0.00023078333,0.00017866345,0.0003805393,0.000018053028,0.000046309808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000077184464,0.00022736914,0.00028326036,0.000057724494,0.00012879899,0.00003844901,0.00021774814,0.00016001829,0.00057006004],"category_scores_gemma":[0.000050218743,0.00014855537,0.00013209479,0.00003571459,0.00015654671,0.00009380389,0.00014164268,0.00033153323,0.000024035635],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046637116,0.00011052693,0.000034033787,0.00017487328,0.00005200905,0.00049606606,0.00015587418,0.00007457246,0.62524796,0.17804867,0.0028981229,0.19224095],"study_design_scores_gemma":[0.0027052104,0.000669579,0.008801494,0.0014457768,0.00060062966,0.00877831,0.000033263685,0.010062754,0.11650272,0.14707571,0.6994778,0.0038467608],"about_ca_topic_score_codex":0.000053454383,"about_ca_topic_score_gemma":0.000051715204,"teacher_disagreement_score":0.6965797,"about_ca_system_score_codex":0.000031453885,"about_ca_system_score_gemma":0.0000284562,"threshold_uncertainty_score":0.6241758},"labels":[],"label_agreement":null},{"id":"W2507526297","doi":"10.1016/j.vascn.2015.08.005","title":"Electroencephalography (EEG) in Sprague–Dawley rats and cynomolgus monkeys: Super-intervals to increase model sensitivity","year":2015,"lang":"en","type":"article","venue":"Journal of Pharmacological and Toxicological Methods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Electroencephalography; Sensitivity (control systems); Audiology; Psychology; Anesthesia; Medicine; Neuroscience; Engineering","score_opus":0.11894800705573409,"score_gpt":0.404240365706617,"score_spread":0.28529235865088287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2507526297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98215973,0.00015331776,0.014483334,0.0022303998,0.00030622297,0.0003094127,0.0000073013857,0.000027550832,0.00032271864],"genre_scores_gemma":[0.96931005,0.00031434125,0.024610482,0.0055988366,0.00010625807,0.000013145681,2.6557018e-7,0.000008733489,0.00003791657],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9956403,0.0025086626,0.0006054841,0.00047589574,0.00030660204,0.00046308286],"domain_scores_gemma":[0.9970581,0.0017083116,0.0002155976,0.00007785873,0.000120472454,0.0008196773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030765533,0.00026065912,0.0006244597,0.0002589149,0.000089452755,0.000087857676,0.00018693051,0.00018608209,0.000029904624],"category_scores_gemma":[0.003420263,0.0001649118,0.00013641857,0.0005098343,0.0002402793,0.0003053281,0.00025952802,0.00075804145,0.0000020422056],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011066152,0.0005052283,0.0014417365,0.000006291622,0.0000131377565,0.00076676026,0.00007123006,0.0009722189,0.9716709,0.0005802151,0.00022725234,0.022638407],"study_design_scores_gemma":[0.005495431,0.013879395,0.039712444,0.00006941166,0.000253394,0.003239316,0.00014371969,0.24505433,0.62721556,0.06241474,0.0014973513,0.001024895],"about_ca_topic_score_codex":0.000011490231,"about_ca_topic_score_gemma":0.0000061430574,"teacher_disagreement_score":0.34445533,"about_ca_system_score_codex":0.00007310358,"about_ca_system_score_gemma":0.000049270086,"threshold_uncertainty_score":0.67249084},"labels":[],"label_agreement":null},{"id":"W2508216880","doi":"10.1371/journal.pone.0161318","title":"Improved Simulation of Electrodiffusion in the Node of Ranvier by Mesh Adaptation","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Institut Universitaire en Santé Mentale de Québec","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Discretization; Finite element method; Computer science; Electric field; Computation; Statistical physics; Physics; Applied mathematics; Algorithm; Classical mechanics; Biological system; Mathematical analysis; Mathematics","score_opus":0.04318349190888879,"score_gpt":0.23347823399016226,"score_spread":0.19029474208127348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2508216880","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967908,0.0000069336024,0.0022365612,0.0005881632,0.000017010345,0.00021512338,0.000010669539,0.000006285432,0.00012842573],"genre_scores_gemma":[0.99958247,0.000040162286,0.00004930385,0.00013174213,0.000011263305,0.000007401409,0.0000023404377,0.00000506078,0.00017028378],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993286,0.00008585372,0.000167235,0.00012272786,0.00021284804,0.0000826924],"domain_scores_gemma":[0.9993914,0.00033059792,0.000114026894,0.000121400626,0.000033458433,0.00000914479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013569799,0.000047064685,0.00008860676,0.00004211161,0.000020634916,0.000003916148,0.00008363847,0.000027818402,0.000018765622],"category_scores_gemma":[0.00036150648,0.000026637406,0.000020908466,0.00015476334,0.000028549684,0.00009731925,0.00001080728,0.000040740746,0.0000023275934],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007642204,0.0003219461,0.00012733553,0.000012018134,0.0000016326027,9.9309645e-8,0.00009662413,0.00009615986,0.9948459,0.00017675183,0.0000064791057,0.004238608],"study_design_scores_gemma":[0.00044318548,0.00014390502,0.0010109858,0.00003528997,0.000009136603,1.0932596e-7,0.000007898499,0.21352163,0.7844183,0.00036114122,0.00001241422,0.000036012392],"about_ca_topic_score_codex":0.000015005873,"about_ca_topic_score_gemma":0.000009263854,"teacher_disagreement_score":0.21342547,"about_ca_system_score_codex":0.00001317563,"about_ca_system_score_gemma":0.000007455,"threshold_uncertainty_score":0.1086242},"labels":[],"label_agreement":null},{"id":"W2509051236","doi":"10.20982/tqmp.05.2.p059","title":"Using Mathematica within E-Prime","year":2009,"lang":"en","type":"article","venue":"Tutorials in Quantitative Methods for Psychology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Software; Programming language; Prime (order theory); Set (abstract data type); Theoretical computer science; Artificial intelligence; Mathematics","score_opus":0.36103530797137245,"score_gpt":0.5654143927103219,"score_spread":0.20437908473894945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2509051236","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12723264,0.00004526037,0.8629518,0.0006076457,0.006229136,0.00069245545,0.000010926219,0.00006736578,0.0021627452],"genre_scores_gemma":[0.05908859,0.000012131609,0.938865,0.0016189076,0.00022379242,0.000033529843,0.0000017858196,0.000024151675,0.00013212186],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970108,0.0013781629,0.0005727706,0.0005820001,0.00011156735,0.00034464864],"domain_scores_gemma":[0.99644053,0.0028735339,0.00028242954,0.0002973223,0.000055381148,0.00005081969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002939457,0.00018869489,0.00044244222,0.00023384561,0.000108438464,0.000032903663,0.00024331259,0.00013371963,0.000030246041],"category_scores_gemma":[0.0067448467,0.00016523685,0.00010019076,0.0004475226,0.00013707683,0.00015006724,0.00002013383,0.00018453634,0.000017052218],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017981786,0.00008655431,0.000004610351,0.00000580067,0.0000023811506,0.0000027649178,0.00027988793,0.000041069805,0.64539456,0.34788027,0.000036524594,0.006085728],"study_design_scores_gemma":[0.0009761644,0.000905604,0.00016940222,0.000025832427,0.000015063961,0.000031065974,0.000043728953,0.021867154,0.19400926,0.7797168,0.0020018867,0.00023807824],"about_ca_topic_score_codex":0.000004163977,"about_ca_topic_score_gemma":0.0000012409466,"teacher_disagreement_score":0.45138532,"about_ca_system_score_codex":0.000047197715,"about_ca_system_score_gemma":0.000025844234,"threshold_uncertainty_score":0.80746984},"labels":[],"label_agreement":null},{"id":"W2509400647","doi":"10.1098/rstb.2015.0356","title":"The roadmap for estimation of cell-type-specific neuronal activity from non-invasive measurements","year":2016,"lang":"en","type":"review","venue":"Philosophical Transactions of the Royal Society B Biological Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Research Resources; National Institute of Biomedical Imaging and Bioengineering; National Institute of Neurological Disorders and Stroke; National Institute on Drug Abuse; Natural Sciences and Engineering Research Council of Canada; University of California, San Diego; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu; National Institutes of Health; Central European Institute of Technology; National Institute of Mental Health; National Institute on Aging; International Headache Society; Deutsche Forschungsgemeinschaft; Norges Forskningsråd; Ministerstvo Školství, Mládeže a Tělovýchovy","keywords":"Estimation; Biology; Neuroscience; Computer science; Computational biology; Engineering","score_opus":0.19872656163807123,"score_gpt":0.33097593871334674,"score_spread":0.1322493770752755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2509400647","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03803706,0.75762546,0.14803532,0.01979562,0.01477573,0.014471588,0.0050785905,0.00033141728,0.0018492346],"genre_scores_gemma":[0.30711073,0.6919413,0.0004823202,0.00008005203,0.00019797886,0.00010624193,0.000005021553,0.000015780754,0.00006055022],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972413,0.0004464607,0.0005815588,0.00072226766,0.0006555536,0.00035285397],"domain_scores_gemma":[0.9942988,0.0045076297,0.0006617198,0.00035958778,0.00009179362,0.00008042411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007024306,0.0003300185,0.0007039299,0.000024134599,0.0012372807,0.000052713214,0.0013204502,0.0003270755,0.000038611695],"category_scores_gemma":[0.00045988665,0.00013431914,0.0014612224,0.00056606263,0.0025087479,0.00009357466,0.000074167554,0.00040824086,0.0000070175774],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020786413,0.00089744886,0.000013530525,0.0012465772,0.00015648405,3.227461e-7,0.00005935983,0.0024727616,0.043946244,0.001966214,0.00021122291,0.94882196],"study_design_scores_gemma":[0.004935687,0.01200037,0.0009870675,0.01555497,0.0029630729,0.000023447039,0.00013337821,0.09709619,0.19698308,0.42020762,0.24339308,0.0057220343],"about_ca_topic_score_codex":0.0000129632235,"about_ca_topic_score_gemma":0.0000010517796,"teacher_disagreement_score":0.9430999,"about_ca_system_score_codex":0.00007948232,"about_ca_system_score_gemma":0.00017588904,"threshold_uncertainty_score":0.95162874},"labels":[],"label_agreement":null},{"id":"W2509549299","doi":"10.1101/071977","title":"Entropy in Primary Sensory Areas Lower than in Associative Ones: The Brain Lies in Higher Dimensions than the Environment","year":2016,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg; University of Manitoba","funders":"","keywords":"Sensory system; Cluster analysis; Associative property; Entropy (arrow of time); Computer science; Pattern recognition (psychology); Artificial intelligence; Neuroscience; Psychology; Mathematics; Physics; Pure mathematics","score_opus":0.020712983940131283,"score_gpt":0.21026166866298562,"score_spread":0.18954868472285435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2509549299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98804784,0.00018367646,0.000020310332,0.008711095,0.0014758975,0.0012411332,0.00018209727,0.00008046671,0.000057488116],"genre_scores_gemma":[0.9968403,0.00039388947,0.000031174808,0.0020130407,0.00018627147,0.0003213229,2.7505558e-7,0.00008420869,0.00012952961],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99577326,0.0010846759,0.00061835523,0.0011889418,0.0006156497,0.00071913115],"domain_scores_gemma":[0.9970015,0.0012443996,0.00045651256,0.0011560693,0.000041331707,0.00010013922],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010626367,0.00055062445,0.00051569944,0.00029148586,0.00019214234,0.00015141926,0.000742461,0.00038522235,0.000047444282],"category_scores_gemma":[0.00057797227,0.0003450337,0.00015844488,0.0005119427,0.00032351218,0.00018230165,0.00083501753,0.0013321197,0.00007072504],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008402143,0.00035268237,0.071741015,0.00003828839,0.000021724269,0.0001517955,0.000083637045,0.00019272046,0.92414594,0.0030583958,0.00012555203,0.000004259647],"study_design_scores_gemma":[0.0007121326,0.00005389608,0.9610284,0.0003930849,0.000017980545,2.5430214e-8,0.00001198207,0.00036880787,0.034674227,0.00012092246,0.0020643033,0.00055422785],"about_ca_topic_score_codex":0.00010535253,"about_ca_topic_score_gemma":0.00005903302,"teacher_disagreement_score":0.8894717,"about_ca_system_score_codex":0.0011258841,"about_ca_system_score_gemma":0.00022106379,"threshold_uncertainty_score":0.99990016},"labels":[],"label_agreement":null},{"id":"W2509696888","doi":"10.1098/rstb.2015.0350","title":"Neuronal networks and mediators of cortical neurovascular coupling responses in normal and altered brain states","year":2016,"lang":"en","type":"review","venue":"Philosophical Transactions of the Royal Society B Biological Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":120,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Glutamatergic; Barrel cortex; Functional magnetic resonance imaging; Locus coeruleus; Biological neural network; Cholinergic; Premovement neuronal activity; Neocortex; Cholinergic neuron; Psychology; Sensory system; Biology; Glutamate receptor; Central nervous system","score_opus":0.06571473777044713,"score_gpt":0.30408960132683316,"score_spread":0.23837486355638604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2509696888","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33806938,0.6448035,0.0041804747,0.008763877,0.0013595256,0.0022367518,0.00043890573,0.000096545926,0.000050999],"genre_scores_gemma":[0.32498062,0.67468816,0.000036892892,0.00018085788,0.00007072048,0.000025264324,0.0000012051999,0.000008786392,0.000007498245],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99730843,0.00059633836,0.00066721806,0.00068668695,0.00038406719,0.0003572383],"domain_scores_gemma":[0.9944847,0.0049152337,0.00027540894,0.00018027346,0.000023182647,0.00012116747],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009429524,0.00029054694,0.0008238532,0.00005774728,0.00036438764,0.000034426354,0.00049703196,0.00030678953,0.000024060048],"category_scores_gemma":[0.0006912345,0.0001415041,0.00054790865,0.0005786644,0.0035976034,0.0000801404,0.00012357702,0.000685403,4.4460117e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008975382,0.0021581042,0.0060077417,0.0083628,0.00036687596,0.000028115532,0.00029393926,0.020760985,0.0063622203,0.022581609,0.00007181692,0.9321083],"study_design_scores_gemma":[0.0058440394,0.011735364,0.025148783,0.01975171,0.0017857519,0.00044078854,0.00020374525,0.79347414,0.0013070276,0.08514692,0.049409635,0.005752122],"about_ca_topic_score_codex":0.000012974452,"about_ca_topic_score_gemma":0.000001387072,"teacher_disagreement_score":0.92635614,"about_ca_system_score_codex":0.000021848531,"about_ca_system_score_gemma":0.00006473412,"threshold_uncertainty_score":0.99911404},"labels":[],"label_agreement":null},{"id":"W2510122185","doi":"10.1162/neco_a_00884","title":"On the Analytical Solution of Firing Time for SpikeProp","year":2016,"lang":"en","type":"article","venue":"Neural Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Convergence (economics); Backpropagation; Computer science; Epoch (astronomy); Artificial neural network; Reduction (mathematics); Algorithm; Function (biology); Series (stratigraphy); Artificial intelligence; Applied mathematics; Mathematics","score_opus":0.04974836321522538,"score_gpt":0.2827332524621957,"score_spread":0.23298488924697033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2510122185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9570464,0.0000011652254,0.037242047,0.004863678,0.00020566037,0.00026782168,0.000009445492,0.00003711218,0.00032665324],"genre_scores_gemma":[0.99917793,6.755438e-7,0.000050986677,0.0004304644,0.00004658361,0.000008194571,0.0000017980078,0.0000070872393,0.0002762894],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99935955,0.0000585298,0.00013700614,0.00018272457,0.00014993841,0.00011222526],"domain_scores_gemma":[0.9987001,0.0010796669,0.00007944237,0.00008207956,0.00003953679,0.00001920145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011205964,0.0000625035,0.00006962443,0.000040397383,0.00009859844,0.000015748843,0.00007517904,0.000023177845,0.00001863251],"category_scores_gemma":[0.0005288084,0.000032344276,0.00005589511,0.00011002888,0.000052062143,0.00008778241,0.00001860047,0.000038508635,0.00003360436],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000109371096,0.000028741983,0.000026883159,0.00000737498,0.0000015427278,5.5113765e-7,0.000011321336,0.0018110921,0.9187349,0.021517402,0.0009151289,0.05683569],"study_design_scores_gemma":[0.0002893144,0.00035017345,0.0012600665,0.000018642872,0.00000595451,0.0000033699303,8.397144e-7,0.9059116,0.07504345,0.016974974,0.00008078733,0.00006083333],"about_ca_topic_score_codex":0.0000010300889,"about_ca_topic_score_gemma":3.813387e-7,"teacher_disagreement_score":0.9041005,"about_ca_system_score_codex":0.000022237728,"about_ca_system_score_gemma":0.0000062953463,"threshold_uncertainty_score":0.13189614},"labels":[],"label_agreement":null},{"id":"W2510349383","doi":"10.1016/j.neuroimage.2016.08.024","title":"Theta oscillations integrate functionally segregated sub-regions of the medial prefrontal cortex","year":2016,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Prefrontal cortex; Neuroscience; Salience (neuroscience); Psychology; Electroencephalography; Cognitive psychology; Synchronization (alternating current); Reinforcement learning; Cognition; Computer science; Artificial intelligence","score_opus":0.02506994482711388,"score_gpt":0.22872597782265677,"score_spread":0.20365603299554288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2510349383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98762447,0.0000040234463,0.0005954358,0.0039599314,0.0016892969,0.000283795,0.00016115373,0.000088069166,0.0055938372],"genre_scores_gemma":[0.99492186,0.000025436497,0.000010452735,0.0005562144,0.00009479812,0.000010489874,0.0000031972977,0.000021172726,0.004356352],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986248,0.00018013986,0.00024581954,0.00037916366,0.00035918943,0.00021086195],"domain_scores_gemma":[0.9988999,0.00038441867,0.00016562876,0.00041100424,0.0000764274,0.00006267228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008574263,0.00014751429,0.00012870436,0.000067069755,0.00021708253,0.0000287658,0.0003103534,0.00005001818,0.00011970618],"category_scores_gemma":[0.000679467,0.000074888645,0.00014178315,0.00035216854,0.0003380117,0.0002223327,0.000119444485,0.00015734606,0.000066469394],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003930101,0.000041210547,0.0011234228,0.0000024661683,0.0000022314832,0.000003973228,0.000018258066,0.000008384838,0.9914851,0.005200003,0.00093981466,0.0011358261],"study_design_scores_gemma":[0.0011879768,0.00027340604,0.448155,0.00006011958,0.000043849228,0.00011704927,0.000015543284,0.0020170098,0.5315415,0.007298288,0.0089824535,0.00030777266],"about_ca_topic_score_codex":0.0000096735,"about_ca_topic_score_gemma":0.00008009638,"teacher_disagreement_score":0.45994356,"about_ca_system_score_codex":0.000031409625,"about_ca_system_score_gemma":0.00007140582,"threshold_uncertainty_score":0.30538702},"labels":[],"label_agreement":null},{"id":"W2512881896","doi":"10.1007/978-3-319-32265-0_3","title":"Neuronal Synchronization, Attention Orienting, and Primary Consciousness","year":2016,"lang":"en","type":"book-chapter","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Consciousness; Mechanism (biology); Cognition; Neuroscience; Synchronization (alternating current); Cognitive science; Computer science; Function (biology); Psychology; Cognitive psychology; Biology; Physics","score_opus":0.01381452410436279,"score_gpt":0.20974215841148527,"score_spread":0.19592763430712248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2512881896","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0064276704,0.00004771732,0.0035877097,0.00087206997,0.0019591155,0.00047261562,0.00006537301,0.00043386265,0.9861339],"genre_scores_gemma":[0.04590448,0.00027047098,0.000026310483,0.0015302715,0.00025646394,0.000005353681,0.00002769062,0.00009065318,0.9518883],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986359,0.000021195254,0.00024542795,0.0006259807,0.00029247443,0.00017905512],"domain_scores_gemma":[0.99932253,0.00013472745,0.00019482874,0.00020456406,0.000070832524,0.00007248872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000071437426,0.00023714804,0.00019258514,0.00011076279,0.00014761214,0.00008372854,0.00010892306,0.00015462581,0.00038341808],"category_scores_gemma":[0.00006745264,0.00018056818,0.00006173703,0.00002676853,0.00023226651,0.00017025913,0.00013522727,0.0001550131,0.00011072244],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021132433,0.000015418085,0.00019175946,0.000089002286,0.000007762609,0.000024470295,0.0000055756927,9.0330155e-7,0.07162673,0.9019681,0.0025396019,0.023509536],"study_design_scores_gemma":[0.0022294798,0.000523244,0.0038490514,0.00073339534,0.00019366985,0.0005085804,0.0000034719883,0.0017139273,0.0030726371,0.15772638,0.8270447,0.0024014474],"about_ca_topic_score_codex":9.602389e-7,"about_ca_topic_score_gemma":0.0000035864355,"teacher_disagreement_score":0.8245051,"about_ca_system_score_codex":0.000051777777,"about_ca_system_score_gemma":0.000046604182,"threshold_uncertainty_score":0.7363357},"labels":[],"label_agreement":null},{"id":"W2512889423","doi":"10.1101/072538","title":"A Repetitive Modular Oscillation Underlies Human Brain Electric Activity","year":2016,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Modular design; Function (biology); Oscillation (cell signaling); Neuroscience; Modular form; Computer science; Psychology; Physics; Communication; Mathematics; Pure mathematics; Biology","score_opus":0.02287359629962748,"score_gpt":0.2395804499180214,"score_spread":0.21670685361839392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2512889423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905628,0.000049122387,0.0050576096,0.0013398064,0.0012425397,0.000840656,0.00016743144,0.0006301313,0.00010991525],"genre_scores_gemma":[0.99842227,0.00008303077,0.000100243415,0.00053591805,0.0005163746,0.0001277152,1.8942194e-7,0.00013045048,0.00008380595],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99610394,0.00043759207,0.0004259494,0.0017390184,0.0006203018,0.0006732229],"domain_scores_gemma":[0.9973809,0.0003096847,0.000606643,0.0012353776,0.00025627876,0.00021109475],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00052809744,0.0006077947,0.00051551015,0.00045305287,0.00048753666,0.00032571034,0.000519804,0.0005141352,0.00004358625],"category_scores_gemma":[0.0010920896,0.00056857936,0.000217315,0.0006789936,0.00015681841,0.0003709967,0.00046712725,0.000816115,0.000088107794],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033029417,0.00008829599,0.00050950435,0.00009285947,0.000022272274,0.000037346595,0.0000031468105,0.000034215383,0.9914326,0.0075653596,0.00017371771,0.000007657512],"study_design_scores_gemma":[0.0004350742,0.00013673396,0.074988574,0.00022740931,0.000042901604,4.827498e-8,3.8742516e-7,0.0027558564,0.91907245,0.0003068656,0.0011631383,0.00087053794],"about_ca_topic_score_codex":0.00003014395,"about_ca_topic_score_gemma":0.000002901214,"teacher_disagreement_score":0.074479066,"about_ca_system_score_codex":0.00056747906,"about_ca_system_score_gemma":0.00029591285,"threshold_uncertainty_score":0.9996766},"labels":[],"label_agreement":null},{"id":"W2512945401","doi":"","title":"An indirect defense of direct realism","year":2004,"lang":"en","type":"article","venue":"The Journal of mind and behavior","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Realism; Psychophysics; Direct and indirect realism; Perception; Scientific realism; Epistemology; Cognitive science; Ramachandran plot; Psychology; Philosophy; Cognitive psychology; Physics","score_opus":0.0295146718521558,"score_gpt":0.2716966558887883,"score_spread":0.24218198403663246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2512945401","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99926215,0.00004478288,0.00003466118,0.0000905172,0.00024517794,0.000068765854,0.0000139598815,0.0000033775004,0.00023657926],"genre_scores_gemma":[0.9995846,0.000050445648,0.00009537053,0.00010017479,0.00006908187,9.204963e-7,4.7308177e-7,0.000007455673,0.00009144569],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99926883,0.00007666478,0.00023929849,0.00009662488,0.00020926095,0.000109330234],"domain_scores_gemma":[0.9994608,0.00007455097,0.000233334,0.00011543214,0.000044999386,0.000070868184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029033245,0.00007917892,0.0001461429,0.000073951676,0.00008890279,0.00002223676,0.00014532058,0.000039391332,0.000013992295],"category_scores_gemma":[0.000025227522,0.000047635145,0.000059591446,0.00011634919,0.000099209145,0.0001245804,0.00001672341,0.00014056214,0.0000014086206],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000094795905,0.00031552525,0.0018614983,0.0000051713655,0.0000030663252,0.000096262,0.0004985555,0.000058893034,0.9675724,0.00008829117,0.000025733325,0.02937981],"study_design_scores_gemma":[0.0024180906,0.0033699994,0.10956026,0.00012354445,0.00049771625,0.0036075164,0.00042910752,0.00010090418,0.87630296,0.0015794971,0.0016514934,0.00035894153],"about_ca_topic_score_codex":0.000028191627,"about_ca_topic_score_gemma":0.00003273803,"teacher_disagreement_score":0.10769876,"about_ca_system_score_codex":0.000013313792,"about_ca_system_score_gemma":0.000030603507,"threshold_uncertainty_score":0.1942505},"labels":[],"label_agreement":null},{"id":"W2513106390","doi":"10.1007/s11571-017-9431-7","title":"From abstract topology to real thermodynamic brain activity","year":2017,"lang":"en","type":"article","venue":"Cognitive Neurodynamics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Topology (electrical circuits); Homogeneous space; Operationalization; Symmetry (geometry); String (physics); Energy (signal processing); Theoretical physics; Statistical physics; Theoretical computer science; Physics; Mathematics; Geometry; Quantum mechanics","score_opus":0.04124963227283423,"score_gpt":0.3188050052934133,"score_spread":0.2775553730205791,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2513106390","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9682452,0.0000011011989,0.0013631752,0.0062877187,0.0018330286,0.0004914191,0.00048439341,0.00016294913,0.021130987],"genre_scores_gemma":[0.99494046,0.00003513989,0.000027067254,0.0032884139,0.00031473127,0.000032829,0.000025741405,0.00006392624,0.0012716759],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99766016,0.00016184921,0.00023694632,0.0010939213,0.0003097075,0.000537407],"domain_scores_gemma":[0.9973954,0.001187147,0.00029981966,0.0008009379,0.0000892031,0.00022750368],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014619953,0.00033726907,0.00032120236,0.00012126548,0.00086583657,0.0003280835,0.0007421425,0.00015563976,0.000109998095],"category_scores_gemma":[0.0031133338,0.00033257628,0.00014140517,0.000115083254,0.00034462544,0.00046156027,0.0004272167,0.0004886595,0.0003490225],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034710037,0.00014432723,0.001276167,0.0000066692933,0.000010125851,0.00021042542,0.0001229757,0.000025188241,0.9468336,0.001786339,0.00013710001,0.0491],"study_design_scores_gemma":[0.0011965506,0.0004662307,0.9180662,0.000053420874,0.00004310664,0.000036875055,0.000070139504,0.045533895,0.023078158,0.010325291,0.00037356242,0.0007565769],"about_ca_topic_score_codex":0.0008680678,"about_ca_topic_score_gemma":0.000676437,"teacher_disagreement_score":0.9237554,"about_ca_system_score_codex":0.00007796381,"about_ca_system_score_gemma":0.000055437027,"threshold_uncertainty_score":0.9999126},"labels":[],"label_agreement":null},{"id":"W2514066672","doi":"10.1155/2016/2816567","title":"Neural Modulation in Aversive Emotion Processing: An Independent Component Analysis Study","year":2016,"lang":"en","type":"article","venue":"Computational and Mathematical Methods in Medicine","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McGill University","keywords":"Independent component analysis; Psychology; Cognitive psychology; Cognition; Neuroscience; Component (thermodynamics); Set (abstract data type); Modulation (music); Computer science; Artificial intelligence","score_opus":0.09442594802062688,"score_gpt":0.41495584604557534,"score_spread":0.32052989802494847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2514066672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5846169,0.000003987169,0.4142231,0.00084079057,0.000044141994,0.0002044831,8.3415364e-7,0.000012956967,0.000052795804],"genre_scores_gemma":[0.97708535,0.000002472703,0.022619784,0.00020716734,0.000031482956,0.000015658385,0.0000038714024,0.000006019442,0.000028219622],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981548,0.00059186784,0.00040245263,0.00037395913,0.00034399767,0.00013290005],"domain_scores_gemma":[0.9985621,0.0011242497,0.0001041258,0.00009023397,0.00004419523,0.000075077776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010582695,0.00011395417,0.00029677062,0.0004038558,0.000056519777,0.000015888318,0.000081692146,0.00003734435,0.00005326229],"category_scores_gemma":[0.0007392153,0.0000687691,0.000024186773,0.0006062698,0.000112174705,0.00019095774,0.000044527296,0.00010252251,0.0000017924197],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037097486,0.0033291406,0.04139434,0.00021508663,0.00006116347,0.00012240904,0.0083160605,0.06139536,0.19063745,0.05717278,0.000009967432,0.6369753],"study_design_scores_gemma":[0.00084018323,0.00020646026,0.17261495,0.000039419112,0.000029837407,0.000008855346,0.0002481111,0.67506313,0.0000739814,0.1508055,0.0000010802511,0.00006846137],"about_ca_topic_score_codex":0.000009004818,"about_ca_topic_score_gemma":0.0000081941,"teacher_disagreement_score":0.6369068,"about_ca_system_score_codex":0.00005139679,"about_ca_system_score_gemma":0.000009548302,"threshold_uncertainty_score":0.28043225},"labels":[],"label_agreement":null},{"id":"W2515934579","doi":"10.1038/nmeth.3969","title":"Stable long-term chronic brain mapping at the single-neuron level","year":2016,"lang":"en","type":"article","venue":"Nature Methods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":334,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Church and Dwight; McMaster University","keywords":"Neuroscience; Local field potential; Stimulation; Biological neural network; Neuroprosthetics; Neuron; Electrophysiology; Deep brain stimulation; In vivo; Nerve net; Premovement neuronal activity; Computer science; Biology; Medicine; Pathology","score_opus":0.08779826595773703,"score_gpt":0.35958628908452334,"score_spread":0.2717880231267863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2515934579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6839113,0.0012164911,0.2590999,0.038685977,0.007333683,0.00092223816,0.00009573184,0.000355614,0.00837903],"genre_scores_gemma":[0.91251945,0.00008519625,0.0047495286,0.009352083,0.0007091158,0.000029304674,0.000004793584,0.000074446245,0.0724761],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975894,0.00088142644,0.00020398811,0.00058153336,0.0003098283,0.0004338084],"domain_scores_gemma":[0.9967167,0.0025090894,0.00013220868,0.0005334944,0.00003699965,0.00007154657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000978591,0.00019984292,0.00017056456,0.00008089032,0.00039846887,0.000076214004,0.0003999998,0.00022015418,0.00025164217],"category_scores_gemma":[0.0022588614,0.00010281689,0.00011132553,0.00038394207,0.00014382045,0.00019635465,0.00019810087,0.00052508415,0.00006349271],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017816794,0.00001684959,0.00016841479,0.000012968989,0.0000028388024,0.000010989087,0.00001645077,0.0000034939546,0.8200522,0.0011046255,0.0015785408,0.1770148],"study_design_scores_gemma":[0.00047542833,0.00014358562,0.021050315,0.00006255663,0.000010473227,0.000097817385,0.00000254054,0.00027226197,0.87235254,0.0015359798,0.10374246,0.00025406116],"about_ca_topic_score_codex":0.0000026815937,"about_ca_topic_score_gemma":0.000031793305,"teacher_disagreement_score":0.25435036,"about_ca_system_score_codex":0.00028915142,"about_ca_system_score_gemma":0.000040731145,"threshold_uncertainty_score":0.4192751},"labels":[],"label_agreement":null},{"id":"W2516048769","doi":"10.1101/072397","title":"Primary Evidence of a Donut-Like, Fourth Spatial Dimension in the Brain","year":2016,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hypersphere; Pattern recognition (psychology); Cluster analysis; Artificial intelligence; Entropy (arrow of time); Computer science; Feature vector; Mathematics; Physics","score_opus":0.02727403787364548,"score_gpt":0.23826531824460606,"score_spread":0.21099128037096057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2516048769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916693,0.00025461934,0.0020567228,0.0028277962,0.0018708433,0.0010817315,0.000094189934,0.00012306117,0.00002172471],"genre_scores_gemma":[0.9968197,0.00026170124,0.0002634364,0.0021920651,0.0002764482,0.00011348127,9.0996785e-8,0.00006364718,0.0000094606785],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9963329,0.00064204296,0.0006366051,0.0011231028,0.0007732156,0.0004921269],"domain_scores_gemma":[0.9966221,0.0010982887,0.00059182936,0.0014161004,0.00016667307,0.000105039995],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012272521,0.00044640034,0.00049993576,0.00028647957,0.00012769192,0.00012411736,0.0009969542,0.00032879203,0.000018914116],"category_scores_gemma":[0.0014379384,0.0003127315,0.00017352353,0.0005709001,0.0002247409,0.0002660391,0.00067279895,0.0007461208,0.000029922974],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001115235,0.00011137239,0.0017051866,0.00027604247,0.0000069123753,0.00006870378,0.000012660301,0.000033771823,0.99648887,0.00085224555,0.00031897912,0.000013735742],"study_design_scores_gemma":[0.0012315806,0.0004087847,0.21810713,0.003947783,0.00007706477,1.956042e-7,0.0000024320723,0.0028892576,0.7693491,0.000102420774,0.0026197312,0.0012645002],"about_ca_topic_score_codex":0.00009007132,"about_ca_topic_score_gemma":0.000010808967,"teacher_disagreement_score":0.22713974,"about_ca_system_score_codex":0.00020156716,"about_ca_system_score_gemma":0.0003821279,"threshold_uncertainty_score":0.99993247},"labels":[],"label_agreement":null},{"id":"W2516598420","doi":"10.1371/journal.pcbi.1005497","title":"Robust information propagation through noisy neural circuits","year":2017,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Paul G. Allen Family Foundation; Gatsby Charitable Foundation; Canadian Institute for Advanced Research; Simons Foundation; National Science Foundation","keywords":"Covariance; Population; Computer science; Information processing; Biological neural network; Nonlinear system; Noise (video); Artificial intelligence; Pattern recognition (psychology); Neuroscience; Machine learning; Mathematics; Biology; Physics; Statistics","score_opus":0.08614196576995034,"score_gpt":0.2778218457910179,"score_spread":0.19167988002106753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2516598420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9434886,0.000004972459,0.043242775,0.004136027,0.0010916204,0.000427256,0.00007010048,0.00014875253,0.007389894],"genre_scores_gemma":[0.9973219,0.0000040523164,0.0005063292,0.0018072515,0.00012712686,0.00002096069,0.00015291265,0.000006628879,0.00005283808],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912906,0.000072760355,0.00022819312,0.00023277717,0.00015817105,0.00017905842],"domain_scores_gemma":[0.99921674,0.00017223445,0.0002797316,0.00018808083,0.00010897744,0.000034257737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006588894,0.00011046124,0.000112666705,0.00005770753,0.0006295708,0.00016900459,0.00026515813,0.000072600065,0.0000359831],"category_scores_gemma":[0.0006666812,0.00009639041,0.000040926658,0.00006257941,0.00015755868,0.0011513255,0.000085609914,0.0001258662,0.00020525386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000119912016,0.00030814548,0.009220877,0.00009524506,0.000035047164,0.0000142934905,0.00056285626,0.13349666,0.2926593,0.4863668,0.0011686494,0.075952195],"study_design_scores_gemma":[0.00073290913,0.00024063709,0.036273986,0.000013428505,0.000011215014,0.000049359947,0.000010313111,0.8945748,0.010177993,0.055813666,0.001826961,0.0002747304],"about_ca_topic_score_codex":0.000014254977,"about_ca_topic_score_gemma":0.0000024126523,"teacher_disagreement_score":0.7610782,"about_ca_system_score_codex":0.00003231989,"about_ca_system_score_gemma":0.000032784716,"threshold_uncertainty_score":0.4842213},"labels":[],"label_agreement":null},{"id":"W2516771455","doi":"10.1101/071472","title":"Representational models: A common framework for understanding encoding, pattern-component, and representational-similarity analysis","year":2016,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Inference; Encoding (memory); Similarity (geometry); Computer science; Context (archaeology); Artificial intelligence; Linear model; Population; Pattern recognition (psychology); Machine learning","score_opus":0.08606778888292414,"score_gpt":0.2939720395649066,"score_spread":0.20790425068198243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2516771455","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35613436,0.000078506826,0.63895375,0.0015223143,0.00093257613,0.00091598486,0.0012038895,0.0002309991,0.00002764689],"genre_scores_gemma":[0.99508786,0.00018163228,0.0033362359,0.0006598311,0.00035732592,0.00028354803,0.0000029565094,0.000082815495,0.000007774146],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996141,0.00026452448,0.00065275433,0.0017750278,0.00065107766,0.0005155953],"domain_scores_gemma":[0.9964981,0.0013541126,0.00066784926,0.0010310943,0.00020137841,0.0002474655],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00057597895,0.0004982946,0.00064311444,0.0005494273,0.00050056586,0.00046393592,0.00047793525,0.0004405909,0.00003992875],"category_scores_gemma":[0.0006866571,0.00048442505,0.00034212632,0.0006555502,0.00021803901,0.0004014814,0.0005672295,0.0006018985,0.0000046820332],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022929326,0.00028818424,0.05891596,0.00050568057,0.0007635921,0.00006509473,0.000053857537,0.0037317865,0.5965606,0.33843794,0.00043995224,0.000008075691],"study_design_scores_gemma":[0.0029208353,0.00020487109,0.17419897,0.0012331225,0.0023944909,2.6197816e-7,0.000033161283,0.50302804,0.17571938,0.13612145,0.00037434805,0.0037710648],"about_ca_topic_score_codex":0.00005120421,"about_ca_topic_score_gemma":0.000007248757,"teacher_disagreement_score":0.6389535,"about_ca_system_score_codex":0.0003970268,"about_ca_system_score_gemma":0.00014039662,"threshold_uncertainty_score":0.99976075},"labels":[],"label_agreement":null},{"id":"W2518365503","doi":"10.1167/16.12.106","title":"Allocentric vs. Egocentric Coding of Remembered Saccade Targets in Human Cortex","year":2016,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Saccade; Intraparietal sulcus; Psychology; Posterior parietal cortex; Landmark; Neuroscience; Cognitive psychology; Eye movement; Artificial intelligence; Computer science","score_opus":0.02065763074989426,"score_gpt":0.28561389511639884,"score_spread":0.2649562643665046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2518365503","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979775,0.000064686756,0.0004136297,0.0006843138,0.0005017762,0.000080095386,0.000002665055,0.000006185595,0.00026912882],"genre_scores_gemma":[0.99903274,0.00051681977,0.0000509762,0.00013300437,0.00007758436,2.1773346e-7,2.1256173e-7,0.000009951003,0.00017851591],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985564,0.000102898885,0.0005815966,0.00015288676,0.00041592226,0.00019033131],"domain_scores_gemma":[0.9989264,0.00020356636,0.0006022552,0.00010919912,0.000082540304,0.00007603436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038485855,0.00009122084,0.00022525842,0.00037917722,0.0000554781,0.000017113645,0.0002013396,0.000054038755,0.00009761819],"category_scores_gemma":[0.0005403622,0.000056514138,0.00009712621,0.00039772975,0.000036079895,0.00030194726,0.000049850536,0.0001542662,0.000005815252],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013604114,0.00011930762,0.0031721564,0.000013093854,0.0000019183503,0.000070279,0.000023580937,0.000022913673,0.98818254,0.00042969265,0.00061639375,0.0072120763],"study_design_scores_gemma":[0.004598984,0.0017771148,0.4451138,0.0008977388,0.000027048309,0.00028404559,0.000023632307,0.0026747782,0.53839093,0.0029943134,0.0029404871,0.00027714504],"about_ca_topic_score_codex":0.0000041803323,"about_ca_topic_score_gemma":0.0000028008826,"teacher_disagreement_score":0.44979164,"about_ca_system_score_codex":0.00010995729,"about_ca_system_score_gemma":0.000027050773,"threshold_uncertainty_score":0.23045796},"labels":[],"label_agreement":null},{"id":"W2519304392","doi":"10.1016/j.neuroscience.2016.09.009","title":"Contextual response time adaptation in the countermanding performance of rats","year":2016,"lang":"en","type":"article","venue":"Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Adaptation (eye); Psychology; Response inhibition; Cognitive psychology; Neuroscience; Cognition","score_opus":0.042880708645079944,"score_gpt":0.2594391735596264,"score_spread":0.21655846491454647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2519304392","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99805665,0.0000020376676,0.0002765732,0.00086520956,0.0002811171,0.00014932377,0.000007791031,0.000017750417,0.00034356737],"genre_scores_gemma":[0.9982231,0.000024170206,0.0000053743843,0.001097416,0.000013392475,0.000007794355,1.0719563e-7,0.0000048803213,0.00062371313],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987466,0.0002687799,0.00018171374,0.00027880832,0.00033395062,0.00019017607],"domain_scores_gemma":[0.99890053,0.00076044846,0.00009817907,0.00019746833,0.000020310652,0.00002303774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065325096,0.00007708436,0.000078091536,0.000094830015,0.00011534132,0.000032391432,0.0003694395,0.000020406867,0.000010918179],"category_scores_gemma":[0.0010334508,0.000041374424,0.000023670096,0.00043143472,0.00026408257,0.00042558028,0.000038862487,0.00007005422,0.00003140599],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025009608,0.000022300663,0.00071836513,0.000002571765,3.1938274e-8,0.000006715406,0.00014352187,0.00007240418,0.99590737,0.0003868144,0.000049329687,0.0024404677],"study_design_scores_gemma":[0.0010907988,0.0015844983,0.18037969,0.00013411384,0.000004208248,0.00014189589,0.000075448275,0.17209874,0.6407974,0.00020221692,0.0031924967,0.00029852727],"about_ca_topic_score_codex":0.000002076949,"about_ca_topic_score_gemma":0.0000016120766,"teacher_disagreement_score":0.35511002,"about_ca_system_score_codex":0.000022549131,"about_ca_system_score_gemma":0.0000339167,"threshold_uncertainty_score":0.16872},"labels":[],"label_agreement":null},{"id":"W2520206104","doi":"10.1016/j.neuroimage.2016.09.025","title":"Gamma-band activity reflects attentional guidance by facial expression","year":2016,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Deutsche Forschungsgemeinschaft; European Commission","keywords":"Magnetoencephalography; Psychology; Stimulus onset asynchrony; Facial expression; Cognitive psychology; Stimulus (psychology); Covert; Brain activity and meditation; Neuroscience; Audiology; Cognition; Electroencephalography; Communication","score_opus":0.0337254935422623,"score_gpt":0.27928455354870363,"score_spread":0.24555906000644134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2520206104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98970985,0.0000069861226,0.0021519708,0.001988185,0.0007634421,0.00015357275,0.00010624261,0.0001291064,0.004990615],"genre_scores_gemma":[0.990547,0.000025479385,0.00002928773,0.0008734591,0.00012889168,0.000013774564,0.0000020369487,0.000021701135,0.008358377],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984505,0.00015408396,0.0001418862,0.0005980988,0.00036048863,0.00029493545],"domain_scores_gemma":[0.99930364,0.00020925568,0.00010123979,0.0002679296,0.000026212258,0.000091732996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008618986,0.00015523427,0.00011635224,0.000046540732,0.00020875053,0.000061433726,0.00019883021,0.000054936372,0.0001776384],"category_scores_gemma":[0.0004364919,0.00010628895,0.000073636635,0.0001388353,0.00010887541,0.00045161555,0.00006957362,0.00013083234,0.00018889348],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008674458,0.00006170705,0.00028254872,0.000004776658,4.6759223e-7,0.000022712708,0.0000035680087,6.853408e-7,0.9733792,0.00009396792,0.012826729,0.013236925],"study_design_scores_gemma":[0.00048814592,0.00010243801,0.008991756,0.000020175637,0.0000022393056,0.000017950295,3.3082344e-7,0.000094143375,0.9608285,0.0003906055,0.028916422,0.00014732897],"about_ca_topic_score_codex":0.0000030369856,"about_ca_topic_score_gemma":0.0000016229106,"teacher_disagreement_score":0.016089693,"about_ca_system_score_codex":0.000033172066,"about_ca_system_score_gemma":0.000017704917,"threshold_uncertainty_score":0.43343377},"labels":[],"label_agreement":null},{"id":"W2520280309","doi":"10.1038/s41467-017-01827-3","title":"Supervised learning in spiking neural networks with FORCE training","year":2017,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":241,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; Engineering and Physical Sciences Research Council; Leverhulme Trust; Natural Sciences and Engineering Research Council of Canada; Wellcome Trust","keywords":"Zebra finch; Computer science; Songbird; Biological neural network; Artificial neural network; Artificial intelligence; Spiking neural network; Spike (software development); Machine learning; Winner-take-all; Neuroscience; Biology","score_opus":0.05892565964253392,"score_gpt":0.3083246273789866,"score_spread":0.24939896773645265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2520280309","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96937287,0.00030633368,0.0009362321,0.009288778,0.00037853463,0.00036404497,0.0000036013616,0.0001841003,0.019165501],"genre_scores_gemma":[0.99799705,0.00008238946,0.000565484,0.0008258044,0.00004436093,0.000021715463,0.0000107532205,0.000019197689,0.00043325446],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991385,0.00014016675,0.0001364067,0.00022872133,0.00012892524,0.00022732414],"domain_scores_gemma":[0.998122,0.00035434047,0.00013661863,0.0013112574,0.00003227585,0.000043527787],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00018809541,0.000107686275,0.000118702585,0.00007153105,0.0013117752,0.00022183219,0.0012567763,0.00013056071,0.000005311646],"category_scores_gemma":[0.00048739256,0.000092603565,0.00003598639,0.0001672724,0.00016540452,0.0003443161,0.00030456806,0.0016605074,0.0000018994281],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038203612,0.0004718537,0.28352487,0.00004818339,0.00003330118,0.000118360476,0.0047489195,0.122105725,0.1947215,0.13323928,0.0003254381,0.26028052],"study_design_scores_gemma":[0.00046739468,0.00005840551,0.03980995,0.000041850428,0.0000059348044,0.000024249908,0.00012268926,0.95522803,0.000250144,0.00019058958,0.0036287308,0.00017201153],"about_ca_topic_score_codex":0.000022107924,"about_ca_topic_score_gemma":0.0013372669,"teacher_disagreement_score":0.8331223,"about_ca_system_score_codex":0.000029043313,"about_ca_system_score_gemma":0.000019845214,"threshold_uncertainty_score":0.9999884},"labels":[],"label_agreement":null},{"id":"W2520774981","doi":"10.1016/j.sleep.2015.02.1500","title":"Waking threats and the temporal references of dream threat simulations","year":2015,"lang":"en","type":"article","venue":"Sleep Medicine","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Dream; Psychology; Neuroscience","score_opus":0.10096477053494277,"score_gpt":0.31859315401439336,"score_spread":0.2176283834794506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2520774981","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9823003,0.0004988618,0.00037060605,0.0072169993,0.00051334006,0.00024013435,0.000005684613,0.000032588152,0.008821474],"genre_scores_gemma":[0.99898386,0.0000718753,0.000022325143,0.00045201078,0.0001108252,0.000002864802,0.000003884115,0.00000487814,0.00034750294],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99926317,0.00007332891,0.00016439316,0.00015666708,0.0002477053,0.00009471822],"domain_scores_gemma":[0.9992802,0.00038446343,0.000090373724,0.00015126684,0.000039788254,0.00005390873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027165483,0.00007187334,0.00014920533,0.000046005138,0.00008243912,0.000008391055,0.0000951565,0.000023892975,0.000023407136],"category_scores_gemma":[0.00050903874,0.000035363766,0.000015722726,0.00017863787,0.00043563888,0.00007837452,0.000039541705,0.00007743438,0.0000021348242],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018117888,0.0002999987,0.12445241,0.0001400718,0.00007446493,0.000048099937,0.01258697,0.0030656147,0.15526517,0.41232798,0.0030565315,0.2868709],"study_design_scores_gemma":[0.024184149,0.0028697099,0.031911153,0.00055595464,0.00037580327,0.00017404353,0.0032481614,0.39435413,0.022838265,0.51180613,0.0069499286,0.0007325243],"about_ca_topic_score_codex":0.00013146627,"about_ca_topic_score_gemma":0.000052496893,"teacher_disagreement_score":0.39128852,"about_ca_system_score_codex":0.000008424082,"about_ca_system_score_gemma":0.000009609733,"threshold_uncertainty_score":0.16051295},"labels":[],"label_agreement":null},{"id":"W2520922392","doi":"10.1162/jocn_a_01043","title":"Comparing the Effects of 10-Hz Repetitive TMS on Tasks of Visual STM and Attention","year":2016,"lang":"en","type":"article","venue":"Journal of Cognitive Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"National Institute of Mental Health","keywords":"Intraparietal sulcus; Psychology; Cognitive psychology; Task (project management); Alpha (finance); Electroencephalography; Affect (linguistics); Neuroscience; Posterior parietal cortex; Developmental psychology; Communication","score_opus":0.026492920521080963,"score_gpt":0.28909203825676505,"score_spread":0.26259911773568406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2520922392","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99744415,0.000013990942,0.0010706112,0.0002553065,0.0006764292,0.0001673902,0.000007446135,0.0000046285572,0.00036007405],"genre_scores_gemma":[0.99923664,0.00012313035,0.0000040942873,0.00039119663,0.000044930315,0.0000017108597,6.59644e-8,0.00000704824,0.00019116579],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984203,0.00027019996,0.00036110645,0.00023875217,0.00054711686,0.00016253392],"domain_scores_gemma":[0.99625206,0.0026147703,0.00074094784,0.000084271545,0.00024226069,0.00006569869],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004029574,0.000111779256,0.00022165389,0.00014789701,0.00012227126,0.00002872173,0.00019647538,0.000026104779,0.0000054753305],"category_scores_gemma":[0.00620095,0.000058775993,0.0000884447,0.0002988092,0.00067194056,0.00033534897,0.000078681165,0.00015320434,0.0000018382566],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024886237,0.00012677176,0.0027017493,0.00002088455,0.0000019234576,0.000021954416,0.00005019313,0.0000032789028,0.9907266,0.0005100304,0.000015512507,0.005572247],"study_design_scores_gemma":[0.00092452206,0.0033136467,0.29502088,0.00071945926,0.00002763121,0.000112149035,0.000040501756,0.00047393795,0.6989559,0.0002954259,0.000037340757,0.00007865096],"about_ca_topic_score_codex":0.0000015302672,"about_ca_topic_score_gemma":7.260247e-7,"teacher_disagreement_score":0.29231912,"about_ca_system_score_codex":0.000015596175,"about_ca_system_score_gemma":0.000035230172,"threshold_uncertainty_score":0.7423564},"labels":[],"label_agreement":null},{"id":"W2522855956","doi":"10.1007/978-3-319-47103-7_3","title":"Computational Role of Astrocytes in Bayesian Inference and Probability Distribution Encoding","year":2016,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; Encoding (memory); Bayesian probability; Inference; Probability distribution; Bayesian inference; Artificial intelligence; Bayesian network; Algorithm; Statistics; Mathematics","score_opus":0.015981909166461975,"score_gpt":0.2397786932779488,"score_spread":0.22379678411148682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2522855956","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040425297,0.000036211597,0.9580061,0.0002077184,0.00025925072,0.00031938282,0.000056624267,0.000025873856,0.00066353776],"genre_scores_gemma":[0.99419963,0.000014138084,0.005595101,0.00009897034,0.000054669632,0.0000039460692,0.0000061911555,0.000008403823,0.000018929653],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980903,0.000038853916,0.00036420586,0.00079899677,0.00043811224,0.00026950022],"domain_scores_gemma":[0.9984615,0.0009629464,0.00020427536,0.0002252477,0.000083644314,0.000062427316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035700775,0.00022200936,0.00027139633,0.00024200181,0.0000962815,0.00007600102,0.00035823305,0.0001279942,0.000011135235],"category_scores_gemma":[0.0004376658,0.00017925822,0.000039384468,0.00024167215,0.0007828306,0.0002605368,0.0002815975,0.0003039766,0.0000018743389],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006363439,0.000077041776,0.0065117073,0.00012285399,0.0000027154374,0.000018365334,0.00032002848,0.07259008,0.061236106,0.16128336,8.466182e-7,0.6977733],"study_design_scores_gemma":[0.0002182473,0.00014350835,0.003048492,0.00036893447,0.0000023809607,0.000017990764,1.3380985e-7,0.41141322,0.0169052,0.5676015,0.000032749496,0.00024762246],"about_ca_topic_score_codex":0.000009162229,"about_ca_topic_score_gemma":0.000041963576,"teacher_disagreement_score":0.95377433,"about_ca_system_score_codex":0.00017669084,"about_ca_system_score_gemma":0.00016489896,"threshold_uncertainty_score":0.73099375},"labels":[],"label_agreement":null},{"id":"W2523181336","doi":"10.1016/j.neuroscience.2016.09.030","title":"Functional synchrony and stimulus selectivity of visual cortical units: Comparison between cats and mice","year":2016,"lang":"en","type":"article","venue":"Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Visual cortex; Neuroscience; Stimulus (psychology); Functional organization; Sensory system; Biology; Functional connectivity; Psychology; Cognitive psychology","score_opus":0.052165594662227976,"score_gpt":0.29609342723309523,"score_spread":0.24392783257086725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2523181336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931141,0.000011153047,0.005881876,0.00040746585,0.00031796537,0.00012601328,0.0000294881,0.000041204283,0.00007072489],"genre_scores_gemma":[0.99945664,0.000025872978,0.000020161247,0.00030846611,0.000043060216,0.0000034187456,4.392189e-7,0.000008589709,0.0001333664],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984551,0.00014758355,0.00021279832,0.00056762446,0.0003543998,0.0002624747],"domain_scores_gemma":[0.9986379,0.00093941,0.000102866674,0.00011571868,0.000058335438,0.00014575731],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018493924,0.000129831,0.00018487319,0.00008295551,0.00024366022,0.00004457717,0.00012014061,0.000047671565,0.000007527546],"category_scores_gemma":[0.0015001398,0.000092385824,0.00001618034,0.0005020886,0.0007722448,0.00032266742,0.00014316771,0.00014618631,0.0000036494496],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028817189,0.00004784205,0.096306086,0.0000089622845,4.357802e-7,0.000002883242,0.000014474127,0.000008155396,0.89469737,0.0005905583,0.000058518406,0.008235898],"study_design_scores_gemma":[0.00040532337,0.0006252503,0.795232,0.000019157767,0.000011499971,0.000048954844,0.0000053277186,0.011636498,0.1913831,0.00020051627,0.0002844572,0.00014794365],"about_ca_topic_score_codex":0.000012847888,"about_ca_topic_score_gemma":0.0000059181934,"teacher_disagreement_score":0.70331424,"about_ca_system_score_codex":0.000022260556,"about_ca_system_score_gemma":0.000057920464,"threshold_uncertainty_score":0.37673846},"labels":[],"label_agreement":null},{"id":"W2525011180","doi":"10.1371/journal.pone.0161488","title":"Dynamic Control of Synchronous Activity in Networks of Spiking Neurons","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; University of Toronto","funders":"","keywords":"Neuroscience; Noise (video); Local field potential; Control theory (sociology); Mechanism (biology); Physics; Network dynamics; Computer science; Biological system; Biology; Control (management); Mathematics; Artificial intelligence","score_opus":0.025932411550923132,"score_gpt":0.2199547318536693,"score_spread":0.19402232030274616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2525011180","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936976,0.000009959509,0.0054798033,0.00030841317,0.000070431735,0.00019966795,0.000017235792,0.000019439454,0.00019746087],"genre_scores_gemma":[0.99974,0.00005186791,0.000032643748,0.00007339093,0.000013274612,0.0000074132936,2.1440555e-7,0.000011077395,0.00007010469],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991782,0.00008742174,0.00017688112,0.00020761143,0.00017584354,0.00017409158],"domain_scores_gemma":[0.9991935,0.00042125775,0.00014645001,0.0001880894,0.00002214758,0.000028578428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000096622396,0.00007723578,0.00021591007,0.00007588397,0.000021317268,0.0000043471678,0.00011770373,0.00004132606,0.000017826482],"category_scores_gemma":[0.00029798216,0.000058011265,0.0000385415,0.00016674146,0.000083018655,0.00011063515,0.0000347402,0.00009140154,0.000003015492],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008077383,0.0005353357,0.0037707246,0.000027017004,0.0000054867683,0.000004214913,0.0000068274803,0.00025835144,0.98991126,0.00021602791,6.4205904e-7,0.005183325],"study_design_scores_gemma":[0.0015126085,0.00049098796,0.0893607,0.00035424563,0.000038921196,0.0000026732803,0.0000018529635,0.39740363,0.51028776,0.0003793243,0.000003820181,0.00016346319],"about_ca_topic_score_codex":0.00001914757,"about_ca_topic_score_gemma":0.000036258833,"teacher_disagreement_score":0.4796235,"about_ca_system_score_codex":0.00003541567,"about_ca_system_score_gemma":0.000015204034,"threshold_uncertainty_score":0.23656307},"labels":[],"label_agreement":null},{"id":"W2529004582","doi":"10.7554/elife.22901","title":"Towards deep learning with segregated dendrites","year":2017,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":414,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research; The Scarborough Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Ontario; Google; Compute Canada; Canadian Institute for Advanced Research; University of Toronto","keywords":"Deep learning; Biology; Cognitive science; Evolutionary biology; Artificial intelligence; Neuroscience; Computational biology; Computer science; Cell biology; Psychology","score_opus":0.027206180644665998,"score_gpt":0.2634071930784643,"score_spread":0.23620101243379826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2529004582","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9844311,0.000011971613,0.00053223025,0.00070477306,0.0002867134,0.00007377822,0.0000016598276,0.0001097886,0.013848015],"genre_scores_gemma":[0.9960877,0.000027677388,0.00015925919,0.00048503268,0.00008918606,0.0000045058364,0.0000014220846,0.000013782917,0.0031314811],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99927473,0.000034011286,0.00007016282,0.00023025153,0.00022059902,0.00017027002],"domain_scores_gemma":[0.99953353,0.000040240204,0.00009299726,0.00024311108,0.000031806685,0.000058281094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000739014,0.000083187326,0.00008022937,0.00002771802,0.00062015303,0.00021424975,0.00017205012,0.000030132067,0.00005080884],"category_scores_gemma":[0.0006326611,0.00006088483,0.000024217034,0.000049402566,0.00008222664,0.00021424735,0.00006850265,0.00016045032,0.00010847857],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019045886,0.000095899864,0.042727437,0.000028786933,0.000015178135,0.00040588365,0.0003167399,0.0010164763,0.83896214,0.007491756,0.0006499836,0.10809925],"study_design_scores_gemma":[0.0014904315,0.000703741,0.18004851,0.00007673726,0.000026161233,0.00022814392,0.00009664066,0.08866783,0.68445253,0.0004333121,0.04312379,0.00065219076],"about_ca_topic_score_codex":0.000033969864,"about_ca_topic_score_gemma":0.000035327685,"teacher_disagreement_score":0.15450963,"about_ca_system_score_codex":0.000012142418,"about_ca_system_score_gemma":0.000014673773,"threshold_uncertainty_score":0.47697783},"labels":[],"label_agreement":null},{"id":"W2529300234","doi":"10.1016/j.neulet.2017.10.016","title":"Towards plasma-like collisionless trajectories in the brain","year":2017,"lang":"en","type":"article","venue":"Neuroscience Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Plasma; Physics; Context (archaeology); Operationalization; Vlasov equation; Range (aeronautics); Statistical physics; Edge of chaos; Classical mechanics; Computer science; Quantum mechanics; Artificial intelligence","score_opus":0.043387637482274095,"score_gpt":0.2837903612641786,"score_spread":0.24040272378190453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2529300234","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92263263,9.774735e-7,0.00015947767,0.07295285,0.0027810747,0.00025689966,0.00001110347,0.000041647276,0.0011633585],"genre_scores_gemma":[0.9292614,0.000008752544,0.000019792102,0.07036714,0.00009455044,0.000024824549,4.262237e-7,0.00001156678,0.00021155697],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9978617,0.00019306064,0.0001954895,0.0006426705,0.00065825233,0.00044883933],"domain_scores_gemma":[0.99867636,0.0003154142,0.00014933516,0.00078657037,0.000011244921,0.00006109944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045318625,0.00017201147,0.00013777992,0.000101008445,0.0012395267,0.00088198594,0.0018460647,0.00004132756,0.0000061843084],"category_scores_gemma":[0.0017959169,0.00011664086,0.00006785213,0.00034636472,0.0007438771,0.00073751353,0.00016115044,0.00032427415,0.000017012524],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019925521,0.000041754043,0.0026295478,0.0000045245374,1.2996152e-7,0.0001653731,0.00027488233,0.00021213759,0.9891173,0.0023427375,0.0030339712,0.0021576774],"study_design_scores_gemma":[0.0016713601,0.00042522812,0.71992826,0.000054520147,0.000009954051,0.0003741748,0.0002010537,0.027429225,0.161552,0.0012824014,0.08613917,0.00093265047],"about_ca_topic_score_codex":0.000088683475,"about_ca_topic_score_gemma":0.000065106535,"teacher_disagreement_score":0.8275653,"about_ca_system_score_codex":0.0000324687,"about_ca_system_score_gemma":0.000036846035,"threshold_uncertainty_score":0.9533562},"labels":[],"label_agreement":null},{"id":"W2529598372","doi":"10.1093/cercor/bhw283","title":"Within-Category Decoding of Information in Different Attentional States in Short-Term Memory","year":2016,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":97,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"National Institute of General Medical Sciences; National Institute of Mental Health; National Institutes of Health","keywords":"Functional magnetic resonance imaging; Working memory; Psychology; Stimulus (psychology); Decoding methods; Cognition; Electroencephalography; Brain activity and meditation; Cognitive psychology; Neural activity; Short-term memory; Neuroscience; Computer science","score_opus":0.02349647891529975,"score_gpt":0.24716458976227274,"score_spread":0.223668110846973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2529598372","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99847674,0.000003017968,0.00034003195,0.00019713193,0.0003620201,0.00016387882,0.0000170329,0.000019585957,0.0004205748],"genre_scores_gemma":[0.99964106,0.000015387252,0.000013748874,0.00014930264,0.000020132878,0.000011331582,0.000013404281,0.000006349182,0.00012927524],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99897975,0.00005272871,0.00040107276,0.00018009654,0.00020448779,0.00018187461],"domain_scores_gemma":[0.99961644,0.00012290309,0.00008096914,0.00011810472,0.000022173026,0.000039421502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011796105,0.00010811681,0.00014365496,0.00021369869,0.000029583833,0.00002167466,0.00012506093,0.000044101133,0.00010236451],"category_scores_gemma":[0.000095851356,0.00007081789,0.000043208038,0.0001584372,0.00006326665,0.00061927753,0.000059760874,0.00009359748,0.000021154368],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009753745,0.00008195002,0.21979305,0.00004573238,0.0000021784829,0.0000065190056,0.00024190822,0.00010093311,0.76079917,0.0044843475,0.000054178083,0.01429247],"study_design_scores_gemma":[0.00073222606,0.00008805945,0.91422045,0.000095218835,0.0000028322263,0.000008202761,0.00007017226,0.009157933,0.071748294,0.0037131584,0.000011227778,0.00015219519],"about_ca_topic_score_codex":0.00002154933,"about_ca_topic_score_gemma":0.00011536517,"teacher_disagreement_score":0.69442743,"about_ca_system_score_codex":0.0000798552,"about_ca_system_score_gemma":0.000021382313,"threshold_uncertainty_score":0.28878698},"labels":[],"label_agreement":null},{"id":"W2529898266","doi":"10.1016/j.neuroimage.2016.10.017","title":"High-resolution retinotopic maps estimated with magnetoencephalography","year":2016,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal General Hospital; Montreal Neurological Institute and Hospital","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Killam Trusts","keywords":"Magnetoencephalography; Visual cortex; Receptive field; Image resolution; Retinotopy; Cortex (anatomy); Resolution (logic); Neuroscience; Artificial intelligence; Computer science; Pattern recognition (psychology); Computer vision; Psychology; Electroencephalography","score_opus":0.02324392048585266,"score_gpt":0.23183329502846864,"score_spread":0.20858937454261597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2529898266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99044853,0.000007188011,0.0024509784,0.0024131862,0.00050621864,0.000275814,0.000049294387,0.00034985313,0.0034989077],"genre_scores_gemma":[0.9968855,0.00003862732,0.00055112125,0.0010114119,0.00006758063,0.000019186187,0.00000418909,0.000026160116,0.0013962279],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985764,0.00010799754,0.00016121387,0.000547791,0.00027392755,0.0003326963],"domain_scores_gemma":[0.99928206,0.00016508791,0.00008725107,0.00034506118,0.000034994777,0.00008555299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006349537,0.00016870219,0.00012751088,0.00012077541,0.00015027916,0.00005795688,0.00019761868,0.000044965178,0.00012915979],"category_scores_gemma":[0.000183839,0.00010023666,0.0000476952,0.00040039586,0.00021395487,0.0002956686,0.000050968865,0.00011444147,0.00016416148],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008913809,0.00004005513,0.0015222569,0.0000071569784,0.0000011218044,0.00011945947,0.000006426948,0.000019209881,0.9848614,0.0049231513,0.00085182476,0.0075588226],"study_design_scores_gemma":[0.004948298,0.003325787,0.3243169,0.00022091658,0.00006412571,0.000599606,0.000009252434,0.0041945707,0.62740463,0.012489805,0.02114376,0.0012823836],"about_ca_topic_score_codex":0.000020984085,"about_ca_topic_score_gemma":0.0000062748604,"teacher_disagreement_score":0.35745677,"about_ca_system_score_codex":0.000019035968,"about_ca_system_score_gemma":0.000014096772,"threshold_uncertainty_score":0.40875325},"labels":[],"label_agreement":null},{"id":"W2530561910","doi":"10.1111/ejn.13439","title":"Comparative effects of adaptation on layers <scp>II</scp>–<scp>III</scp> and V–<scp>VI</scp> neurons in cat V1","year":2016,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; Université de Sherbrooke; Université de Montréal","funders":"","keywords":"Stimulus (psychology); Cortical neurons; Neuroscience; Visual cortex; Plasticity; Adapter (computing); Neuroplasticity; Electrophysiology; Neuron; Chemistry; Biophysics; Biology; Physics; Computer science; Psychology","score_opus":0.039294282102260124,"score_gpt":0.2570240034848103,"score_spread":0.21772972138255017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2530561910","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921758,0.000065671615,0.0017055284,0.00024588036,0.002100571,0.00041110395,0.000018303974,0.00004653042,0.0032305643],"genre_scores_gemma":[0.9961565,0.0004485714,0.000120638644,0.0014422988,0.00014783596,0.0000037911727,5.231688e-7,0.000057292527,0.0016225413],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9946181,0.0016091579,0.0009978471,0.0009251631,0.0010984895,0.0007512167],"domain_scores_gemma":[0.99178815,0.0058710678,0.0012885975,0.00043238292,0.00018551128,0.00043429201],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011069159,0.0004689783,0.0006316852,0.0007125581,0.000424195,0.00017303937,0.000983171,0.000058640384,6.332091e-7],"category_scores_gemma":[0.011127557,0.00034290433,0.00018432287,0.001193404,0.0008192105,0.0010809264,0.00031531366,0.0005890583,0.00003199249],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018950754,0.00025755324,0.00045547984,0.000031902917,0.0000035172986,0.00058434886,0.0017644732,0.0013949674,0.9922898,0.00043265673,0.0012891473,0.0014772353],"study_design_scores_gemma":[0.0040528504,0.008284221,0.2574931,0.00070121564,0.000057849982,0.00087692816,0.000809623,0.009686158,0.7045421,0.0003278434,0.013009011,0.000159122],"about_ca_topic_score_codex":0.0000059761933,"about_ca_topic_score_gemma":0.000005994271,"teacher_disagreement_score":0.28774768,"about_ca_system_score_codex":0.00008234852,"about_ca_system_score_gemma":0.00012545985,"threshold_uncertainty_score":0.9999023},"labels":[],"label_agreement":null},{"id":"W2531433263","doi":"","title":"Transient brain dynamic patterns, a nonlinear dynamical systems approach to neural function","year":2003,"lang":"en","type":"article","venue":"Acta Neurobiologiae Experimentalis","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Western Hospital; Hospital for Sick Children","funders":"","keywords":"Transient (computer programming); Nonlinear system; Neural system; Control theory (sociology); Computer science; Brain function; Dynamical systems theory; Function (biology); Artificial neural network; Neuroscience; Physics; Artificial intelligence; Psychology; Biology","score_opus":0.02390753357536268,"score_gpt":0.2592784242038496,"score_spread":0.23537089062848693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2531433263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99028295,0.000040979146,0.0027685326,0.0006436785,0.002721459,0.0011634724,0.00019024753,0.00032871708,0.0018599661],"genre_scores_gemma":[0.9935889,0.000014243621,0.00015223853,0.0052843327,0.00007102365,0.00020178864,0.00015294536,0.00007111952,0.00046340562],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9964148,0.0007070193,0.00051168114,0.0012991845,0.00034321618,0.00072409667],"domain_scores_gemma":[0.9987536,0.00022472406,0.000141329,0.0005709636,0.000029361334,0.00027999724],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021733354,0.0004752114,0.0003854756,0.00019422393,0.00029302004,0.00019111816,0.00042783335,0.00018405782,0.00005673227],"category_scores_gemma":[0.00026660867,0.0004049699,0.00019329977,0.00047252682,0.00011252865,0.00027609168,0.000104330684,0.0003747976,0.000063112326],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011919928,0.000434837,0.00014813685,0.00002187763,0.000009495523,0.000017980325,0.00012218935,0.0008207945,0.9959611,0.0010322812,0.001079492,0.00023257967],"study_design_scores_gemma":[0.0055370475,0.0072088502,0.0060075345,0.000116478266,0.00011929962,0.0021304663,0.0028011992,0.42637065,0.47894552,0.00008145875,0.0665448,0.004136698],"about_ca_topic_score_codex":0.000049173454,"about_ca_topic_score_gemma":0.0000047115504,"teacher_disagreement_score":0.51701564,"about_ca_system_score_codex":0.00017387295,"about_ca_system_score_gemma":0.00002536781,"threshold_uncertainty_score":0.9998402},"labels":[],"label_agreement":null},{"id":"W2536188624","doi":"10.1109/icecs.2004.1399738","title":"VLSI sensor for multiple targets detection and tracking","year":2005,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Snapshot (computer storage); Computer vision; Very-large-scale integration; Artificial intelligence; Object detection; Video tracking; Tracking (education); Image sensor; Real-time computing; Object (grammar); Pattern recognition (psychology); Embedded system","score_opus":0.03205265640440047,"score_gpt":0.2537056962715113,"score_spread":0.22165303986711082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2536188624","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97303367,0.00000868888,0.02480524,0.00071507914,0.0002412325,0.0002509923,0.0000053326244,0.00009732415,0.0008424204],"genre_scores_gemma":[0.99675196,0.000008373332,0.0010016195,0.00077632937,0.00012069641,0.000011414976,5.7077665e-7,0.000008247788,0.0013207995],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995376,0.000012591216,0.000076673874,0.0001964251,0.000055815097,0.00012091733],"domain_scores_gemma":[0.99970466,0.00017224847,0.000023700539,0.000053209016,0.000014385679,0.000031796113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000053026855,0.000055866552,0.000048704405,0.00003153872,0.00013887281,0.00003977453,0.000025374096,0.00002717619,0.000014122746],"category_scores_gemma":[0.0002448281,0.000046327405,0.000024473893,0.000048442173,0.000016754171,0.00016391577,0.0000105997,0.000040265422,0.00000921666],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018917899,0.000011741549,0.000088927394,0.0000042060815,4.2868632e-7,3.5238327e-7,0.000017071561,0.00007724013,0.9169644,0.00020760228,0.000029733204,0.082579345],"study_design_scores_gemma":[0.00030824495,0.00006205376,0.0012646593,0.0000014702647,0.0000023456826,0.000015493624,0.000011214653,0.23310702,0.7487692,0.00016283251,0.016224518,0.00007091341],"about_ca_topic_score_codex":0.000005780096,"about_ca_topic_score_gemma":0.00008304026,"teacher_disagreement_score":0.23302978,"about_ca_system_score_codex":0.000012574971,"about_ca_system_score_gemma":0.0000020744553,"threshold_uncertainty_score":0.18891767},"labels":[],"label_agreement":null},{"id":"W2537206647","doi":"10.1162/jocn_a_01058","title":"Power and Phase of Alpha Oscillations Reveal an Interaction between Spatial and Temporal Visual Attention","year":2016,"lang":"en","type":"article","venue":"Journal of Cognitive Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Psychology; Alpha (finance); Alpha rhythm; Phase (matter); Communication; Cognitive psychology; Electroencephalography; Neuroscience; Developmental psychology; Chemistry","score_opus":0.04742184072679274,"score_gpt":0.35417666977277,"score_spread":0.3067548290459773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2537206647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98888767,0.000004605907,0.009968261,0.00038154388,0.0005256567,0.000114753064,0.00004102673,0.000007465675,0.000069010035],"genre_scores_gemma":[0.99959403,0.00003766899,0.00002521324,0.00018430981,0.00009799677,7.9489143e-7,6.0623483e-7,0.00000760733,0.00005178536],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986561,0.00018624199,0.00038641677,0.00026634437,0.00036195127,0.00014293044],"domain_scores_gemma":[0.99857724,0.000480655,0.0005442874,0.000053216056,0.00020413275,0.000140467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032479202,0.00010621296,0.00017702252,0.00021919722,0.00014585054,0.00006237802,0.00008635103,0.000034368204,0.000010170175],"category_scores_gemma":[0.0014600549,0.00007232677,0.000047119407,0.00020737368,0.0003792369,0.0013364694,0.000050519746,0.00013115912,8.3036895e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016971417,0.00011394802,0.029114056,0.000003635798,0.000001230767,0.000011856406,0.000048683945,3.2818338e-7,0.9408042,0.000044396107,0.000006313578,0.02968165],"study_design_scores_gemma":[0.0033212139,0.007991772,0.7963807,0.0002947952,0.000054576518,0.00054758164,0.00013117948,0.0014980973,0.18865696,0.00069040485,0.00019832508,0.0002343847],"about_ca_topic_score_codex":0.000005090298,"about_ca_topic_score_gemma":0.000002332198,"teacher_disagreement_score":0.7672667,"about_ca_system_score_codex":0.000015757669,"about_ca_system_score_gemma":0.000038864993,"threshold_uncertainty_score":0.29494},"labels":[],"label_agreement":null},{"id":"W2538389514","doi":"10.1371/journal.pone.0165269","title":"Experimental Evidence of Classical Conditioning and Microscopic Engrams in an Electroconductive Material","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Classical conditioning; Conditioning; Stimulus (psychology); Unconditioned stimulus; Conditioned response; Biophysics; Interstimulus interval; Chemistry; Engram; Neuroscience; Biological system; Biology; Mathematics; Stimulation; Psychology","score_opus":0.0823567043049722,"score_gpt":0.2892922000416197,"score_spread":0.2069354957366475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2538389514","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995348,0.000015260566,0.000015286489,0.00018972704,0.000049504775,0.00014872143,0.000008462837,0.000015937143,0.000022333183],"genre_scores_gemma":[0.9996717,0.0000131625875,0.000115567454,0.00007207043,0.000039148163,0.000020288833,9.3802817e-7,0.0000065101817,0.000060643735],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993387,0.00007237688,0.00011794116,0.00022778369,0.00011836163,0.00012483084],"domain_scores_gemma":[0.99971324,0.00011216391,0.00004695168,0.00007885804,0.000014427726,0.00003435038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000459732,0.0000617018,0.00011089022,0.000040703853,0.000035110086,0.000022765053,0.00005922767,0.00003051854,0.000055967685],"category_scores_gemma":[0.000115343966,0.000046210283,0.00000934457,0.000060916398,0.00012340215,0.0003660336,0.000030103605,0.000047226054,0.0000036833997],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009626076,0.0003053332,0.0011153755,0.000011567575,0.0000016927572,0.0000023816758,0.000070900656,5.4799923e-8,0.9974414,0.0008257723,0.0000012544353,0.0001279954],"study_design_scores_gemma":[0.0002906828,0.000622637,0.002574762,0.0001989707,0.0000040410628,0.0000025284428,0.00001826356,0.00009872542,0.9957736,0.000354713,8.333882e-7,0.00006023001],"about_ca_topic_score_codex":0.0000055651412,"about_ca_topic_score_gemma":0.0000043835066,"teacher_disagreement_score":0.0016677983,"about_ca_system_score_codex":0.000033691194,"about_ca_system_score_gemma":0.000011160033,"threshold_uncertainty_score":0.18844007},"labels":[],"label_agreement":null},{"id":"W2539830530","doi":"10.1109/gem.2015.7377217","title":"Sensory flux from the eye: Biological sensing-of-sensing (veillametrics) for 3D augmented-reality environments","year":2015,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Sight; Computer science; Computer vision; Visualization; Metric (unit); Human eye; Augmented reality; Artificial intelligence; Tracking (education); Computer graphics (images); Optics; Physics; Engineering","score_opus":0.13284094312350592,"score_gpt":0.29942778775282936,"score_spread":0.16658684462932344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2539830530","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9378859,0.000018736697,0.056331374,0.0011106806,0.00092034804,0.00045580824,0.00013129144,0.000066654706,0.0030792174],"genre_scores_gemma":[0.9937795,0.000019137155,0.0028345108,0.0017153365,0.00014304499,0.0000010463367,0.000028236927,0.000014033849,0.0014652018],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985639,0.00021493586,0.00027070465,0.00042568514,0.00028071337,0.00024406816],"domain_scores_gemma":[0.9983033,0.0011168096,0.0001374663,0.00032338782,0.000029163142,0.000089873975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036874492,0.00014664489,0.00018393362,0.00004195418,0.0001352481,0.00003672538,0.00013636304,0.0000894344,0.000021148682],"category_scores_gemma":[0.0015582234,0.000087971996,0.00008954589,0.00021169113,0.00018596658,0.000065092965,0.000118226104,0.000113177,0.000030647647],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016880616,0.00010232269,0.0014476916,0.0000042346655,0.000014668994,0.000009284829,0.000074116375,0.00038570745,0.9460946,0.0008138668,0.0037991544,0.047085587],"study_design_scores_gemma":[0.0019677642,0.0006393709,0.009405632,0.000021083177,0.000050759292,0.000023901628,0.00031621451,0.4592084,0.43843168,0.0071705137,0.082201935,0.00056274363],"about_ca_topic_score_codex":0.000124605,"about_ca_topic_score_gemma":0.000009113217,"teacher_disagreement_score":0.5076629,"about_ca_system_score_codex":0.00006009736,"about_ca_system_score_gemma":0.000016797901,"threshold_uncertainty_score":0.35873938},"labels":[],"label_agreement":null},{"id":"W2543286693","doi":"10.1101/083626","title":"UP-DOWN cortical dynamics reflect state transitions in a bistable balanced network","year":2016,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"European Regional Development Fund; Agència de Gestió d'Ajuts Universitaris i de Recerca; Ministerio de Economía y Competitividad; Generalitat de Catalunya","keywords":"Bistability; Neuroscience; Rhythm; State (computer science); Population; Excitatory postsynaptic potential; Physics; Dynamics (music); Inhibitory postsynaptic potential; Somatosensory system; State dependent; Network dynamics; Resting state fMRI; Statistical physics; Control theory (sociology); Computer science; Psychology; Mathematics; Quantum mechanics; Artificial intelligence; Medicine; Control (management)","score_opus":0.017991146559242503,"score_gpt":0.23532653380582344,"score_spread":0.21733538724658094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2543286693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97508985,0.00008705303,0.016566759,0.0013554181,0.004024159,0.0011180408,0.0010773608,0.000578692,0.000102688624],"genre_scores_gemma":[0.99791956,0.00021797419,0.0004846004,0.0006738875,0.0003030749,0.00020943966,8.255881e-7,0.00013211192,0.00005855127],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.995916,0.00038891187,0.00072135346,0.0014571992,0.00045939657,0.0010571105],"domain_scores_gemma":[0.99792796,0.0002265053,0.00031863822,0.0010642351,0.0001714259,0.00029122116],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000549243,0.0005785858,0.0006336188,0.0002820858,0.00028331106,0.00026138936,0.0005562798,0.0004086603,0.000050318256],"category_scores_gemma":[0.00042948878,0.00054409273,0.00018110994,0.0009897824,0.00020961878,0.00023625151,0.0002920238,0.0012453417,0.00007789933],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016667887,0.00014645838,0.0022763794,0.0001451343,0.000021952093,0.00016478193,0.000008355776,0.0013021508,0.9875424,0.007952832,0.0002661665,0.000006736587],"study_design_scores_gemma":[0.007781299,0.0008735785,0.19220494,0.004656097,0.00035996374,7.3089313e-7,0.000009105088,0.3417217,0.43283412,0.0019038972,0.009766273,0.007888272],"about_ca_topic_score_codex":0.000028052253,"about_ca_topic_score_gemma":0.00005572794,"teacher_disagreement_score":0.55470824,"about_ca_system_score_codex":0.00064768305,"about_ca_system_score_gemma":0.00045668375,"threshold_uncertainty_score":0.9997011},"labels":[],"label_agreement":null},{"id":"W2544738000","doi":"10.1523/eneuro.0269-16.2016","title":"Serotonergic Suppression of Mouse Prefrontal Circuits Implicated in Task Attention","year":2016,"lang":"en","type":"article","venue":"eNeuro","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Brain and Behavior Research Foundation; Canada Research Chairs; Government of Canada; National Alliance for Research on Schizophrenia and Depression; Canadian Institutes of Health Research; Van Ameringen Foundation","keywords":"Optogenetics; Neuroscience; Prefrontal cortex; Serotonergic; Excitatory postsynaptic potential; GABAergic; Population; Biological neural network; Psychology; Serotonin; Inhibitory postsynaptic potential; Biology; Receptor; Medicine; Cognition","score_opus":0.02135624507785029,"score_gpt":0.24571049926215258,"score_spread":0.22435425418430227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2544738000","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985884,0.0000027302056,0.00011585616,0.00034589865,0.0002444351,0.00021186568,0.000029598328,0.000046652374,0.00041458374],"genre_scores_gemma":[0.9980781,0.00002287134,0.000003565156,0.00013079734,0.000018657784,0.000019056628,0.0000032484647,0.000014987114,0.0017087017],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99903303,0.00009913878,0.00020300213,0.0003249578,0.00016496511,0.00017490433],"domain_scores_gemma":[0.9995381,0.00009926582,0.00009130091,0.00021437737,0.00001531143,0.000041617153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000060950344,0.0000913799,0.00010557784,0.0000895507,0.000032570642,0.00000919894,0.00014303743,0.000045805653,0.000037774924],"category_scores_gemma":[0.00015149527,0.00006194759,0.000043472428,0.00017325919,0.00004247742,0.00018029838,0.000061734725,0.00006676765,0.00003448601],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026049242,0.00006519932,0.002445196,0.000007370894,4.5906162e-7,0.0000074181476,0.000009724358,0.000015158084,0.9933403,0.00028649787,0.000106746076,0.003689859],"study_design_scores_gemma":[0.0005460068,0.000107167376,0.06426547,0.00002784021,0.0000019066589,0.000012657669,0.000001872667,0.000442836,0.93384993,0.00020953268,0.00044849882,0.00008629015],"about_ca_topic_score_codex":0.000015125325,"about_ca_topic_score_gemma":0.00000704171,"teacher_disagreement_score":0.061820276,"about_ca_system_score_codex":0.000025091183,"about_ca_system_score_gemma":0.000009454691,"threshold_uncertainty_score":0.25261495},"labels":[],"label_agreement":null},{"id":"W2546108627","doi":"10.1038/ncomms13229","title":"Self-motion evokes precise spike timing in the primate vestibular system","year":2016,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Institute on Deafness and Other Communication Disorders; Canadian Institutes of Health Research; Canada Research Chairs; McGill University","keywords":"Vestibular system; Neuroscience; Sensory system; Computer science; Stimulus (psychology); Vestibular nuclei; Spike-timing-dependent plasticity; Spike (software development); Neural coding; Postsynaptic potential; Biology; Psychology","score_opus":0.03238394312661629,"score_gpt":0.2956173135051862,"score_spread":0.2632333703785699,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2546108627","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85100514,0.0026575357,0.004009174,0.08833282,0.0019446836,0.0033246607,0.000128088,0.0013401784,0.04725774],"genre_scores_gemma":[0.9981041,0.00027434004,0.0009872916,0.00044298367,0.0000331819,0.000058595677,0.000006059608,0.0000109788025,0.00008246814],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988673,0.00040415523,0.00018052915,0.0001988219,0.00019697435,0.00015223611],"domain_scores_gemma":[0.9976885,0.00081499765,0.00009469281,0.0013333933,0.000043009975,0.000025446683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039564888,0.000092735136,0.000083396735,0.000083667146,0.00031884576,0.00005985962,0.0010807441,0.00012002653,0.0000028704874],"category_scores_gemma":[0.00048345557,0.000052189287,0.00003082463,0.00036451433,0.000069274174,0.00020954451,0.00016795628,0.00042085466,0.000048880574],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025398693,0.00041311156,0.0025844807,0.00008465253,0.000007879253,0.000010825575,0.000872985,0.000049534625,0.47295895,0.50444776,0.0012774427,0.017266955],"study_design_scores_gemma":[0.0042510824,0.00062283623,0.11322251,0.0019885418,0.00024817823,0.00073938345,0.0010479246,0.17681444,0.121812634,0.011415283,0.56568944,0.0021477453],"about_ca_topic_score_codex":0.0000047074745,"about_ca_topic_score_gemma":0.00005274322,"teacher_disagreement_score":0.564412,"about_ca_system_score_codex":0.000106558415,"about_ca_system_score_gemma":0.000019692907,"threshold_uncertainty_score":0.2452336},"labels":[],"label_agreement":null},{"id":"W2546688631","doi":"10.3389/fncom.2016.00110","title":"Simultaneous Bayesian Estimation of Excitatory and Inhibitory Synaptic Conductances by Exploiting Multiple Recorded Trials","year":2016,"lang":"en","type":"article","venue":"Frontiers in Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children; SickKids Foundation; University of Toronto","funders":"RIKEN Brain Science Institute; RIKEN; Fonds de Recherche du Québec - Santé; Japan Agency for Medical Research and Development","keywords":"Excitatory postsynaptic potential; Computer science; Inhibitory postsynaptic potential; Bayesian probability; Bayes' theorem; Inference; Artificial intelligence; Bayesian inference; Machine learning; Neuroscience; Biology","score_opus":0.03419592386738719,"score_gpt":0.271176603537964,"score_spread":0.23698067967057684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2546688631","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69339937,0.000053876465,0.3044187,0.00038529182,0.0013621392,0.00026096668,0.000056901354,0.000037481055,0.000025282838],"genre_scores_gemma":[0.99186933,0.00004677905,0.007556141,0.00041958533,0.000023898221,0.000015346453,0.0000024933142,0.000012057289,0.000054355467],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99791914,0.00034925478,0.0005562638,0.0005580921,0.0003915019,0.00022574849],"domain_scores_gemma":[0.99585634,0.0035610015,0.00035566866,0.00010565553,0.000045318648,0.00007601398],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0005835254,0.00014570256,0.00029545292,0.00020699792,0.00014231379,0.000043195996,0.00018439004,0.000045700555,0.0000036260058],"category_scores_gemma":[0.009358344,0.00011399076,0.000041855426,0.00036910785,0.0004922148,0.00051921216,0.000049827428,0.00009170933,0.000001042009],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000102746155,0.000079957805,0.0028202452,0.00003166433,0.0000018158388,0.000018627376,0.00006729648,0.055495776,0.90023065,0.00055761484,0.00073017407,0.03986341],"study_design_scores_gemma":[0.0008137329,0.0001581094,0.0009154099,0.00008303444,0.000004361909,0.000019248735,0.00004211441,0.96625566,0.020963455,0.010406011,0.00015492228,0.0001839543],"about_ca_topic_score_codex":0.0000036959614,"about_ca_topic_score_gemma":0.000001020857,"teacher_disagreement_score":0.91075987,"about_ca_system_score_codex":0.000046758832,"about_ca_system_score_gemma":0.000056015222,"threshold_uncertainty_score":0.99898624},"labels":[],"label_agreement":null},{"id":"W2546767664","doi":"10.1371/journal.pcbi.1005180","title":"Topology, Cross-Frequency, and Same-Frequency Band Interactions Shape the Generation of Phase-Amplitude Coupling in a Neural Mass Model of a Cortical Column","year":2016,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Amplitude; Physics; Coupling (piping); Phase (matter); Transfer entropy; Biological system; Topology (electrical circuits); Statistical physics; Computer science; Mathematics; Biology; Artificial intelligence; Materials science; Optics; Principle of maximum entropy; Quantum mechanics","score_opus":0.09591396167716176,"score_gpt":0.3405511537444279,"score_spread":0.24463719206726614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2546767664","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9784324,0.000022955655,0.019347357,0.0016452236,0.0001558742,0.0002022847,0.00013665734,0.000013234545,0.000044013814],"genre_scores_gemma":[0.99846077,0.000012397376,0.0011148284,0.00030381954,0.000044266955,0.000024344554,0.000019787658,0.000006766297,0.000013014818],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989379,0.000109619745,0.0004086762,0.00028840345,0.00010147253,0.00015392009],"domain_scores_gemma":[0.9983831,0.0012071681,0.00016868414,0.000099116776,0.00011032802,0.00003159366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013849695,0.00009652986,0.0001794822,0.0000920825,0.00010145676,0.000016635804,0.00012224844,0.000062303436,0.000037455236],"category_scores_gemma":[0.00043306552,0.00006310865,0.000037970218,0.00012539081,0.00056643976,0.00012564397,0.000036616788,0.00012227616,0.0000015578241],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052462474,0.000118134594,0.0133364,0.000007592975,0.000007111881,0.000001027296,0.000042785778,0.019465143,0.9310308,0.035504494,0.0000041395347,0.0004299009],"study_design_scores_gemma":[0.00075071625,0.0002250575,0.004952738,0.000011564058,0.000008044966,0.0000145154845,0.0000062699255,0.94416887,0.010977327,0.038813744,0.0000014158263,0.0000697707],"about_ca_topic_score_codex":0.000031335847,"about_ca_topic_score_gemma":0.000033009426,"teacher_disagreement_score":0.9247037,"about_ca_system_score_codex":0.00003317271,"about_ca_system_score_gemma":0.00005465744,"threshold_uncertainty_score":0.2573496},"labels":[],"label_agreement":null},{"id":"W2547553475","doi":"10.2741/s472","title":"The dendritic tree a mathematical integrator","year":2016,"lang":"en","type":"review","venue":"Frontiers in Bioscience-Scholar","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Neuroscience; Stimulus (psychology); Visual cortex; Excitatory postsynaptic potential; Summation; Inhibitory postsynaptic potential; Surround suppression; Integrator; Cortical neurons; Computer science; Spatial frequency; Visual perception; Psychology; Physics; Stimulation; Cognitive psychology; Perception; Optics","score_opus":0.03977473184222009,"score_gpt":0.2992658922289753,"score_spread":0.25949116038675524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2547553475","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000067533554,0.98646796,0.0022025346,0.00027228863,0.006906678,0.0011158042,0.00005673644,0.000113465074,0.002796991],"genre_scores_gemma":[0.00003175811,0.9948379,0.0012130898,0.00018991607,0.00015830588,0.0001662999,0.0000025584777,0.00005125053,0.0033489119],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9956943,0.0007786459,0.00082793186,0.0010992287,0.0007453449,0.00085456896],"domain_scores_gemma":[0.99794763,0.0007563151,0.0003266585,0.00072676735,0.000037841026,0.00020475824],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017446168,0.00052100007,0.0010293142,0.00040628368,0.0010063004,0.00059311895,0.0018774667,0.00032953668,0.000027021155],"category_scores_gemma":[0.006207558,0.0002588,0.0004511993,0.0015030395,0.0008254716,0.00048703997,0.00026454136,0.0016814497,0.00029821476],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000045319,0.00004474049,0.000004155092,0.00044228445,0.0000045618126,0.000035258166,0.000018177208,5.412481e-8,0.0001352379,0.0042647123,0.002301191,0.9927451],"study_design_scores_gemma":[0.00013020531,0.000071522045,0.0000020473785,0.0031113029,0.000038812843,0.000073739706,0.00003662745,0.00030152226,0.00006122775,0.006845834,0.9889579,0.0003692962],"about_ca_topic_score_codex":9.653085e-7,"about_ca_topic_score_gemma":0.000002541057,"teacher_disagreement_score":0.9923758,"about_ca_system_score_codex":0.0003813835,"about_ca_system_score_gemma":0.00027619614,"threshold_uncertainty_score":0.9999864},"labels":[],"label_agreement":null},{"id":"W2548290184","doi":"10.1111/ejn.13463","title":"Ageing affects dual encoding of periodicity and envelope shape in rat inferior colliculus neurons","year":2016,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Institute on Deafness and Other Communication Disorders","keywords":"Inferior colliculus; Context (archaeology); Neuroscience; Envelope (radar); Modulation (music); Local field potential; Ageing; Physics; Spike (software development); Biology; Acoustics; Computer science; Telecommunications","score_opus":0.03382716997442344,"score_gpt":0.24748979167987048,"score_spread":0.21366262170544703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2548290184","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974061,0.00001623261,0.00019092954,0.00073540857,0.0009380908,0.000113468464,0.0000046894756,0.000014236575,0.0005808144],"genre_scores_gemma":[0.99885464,0.00021808836,0.000055167806,0.0006838951,0.0000623684,4.8568165e-7,2.8888104e-8,0.000019352916,0.000105997155],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9976251,0.00072343164,0.00051126385,0.00037950708,0.00044316132,0.000317499],"domain_scores_gemma":[0.998687,0.0004238834,0.00049655576,0.00016626368,0.000055125216,0.00017113426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009574729,0.00016998795,0.00026079203,0.0003001199,0.00016662905,0.000102643105,0.0003890273,0.000017255796,0.000010691181],"category_scores_gemma":[0.0029618104,0.0001143794,0.000070248214,0.0005918015,0.0004661192,0.00068303733,0.00022963271,0.00024640074,0.000004001004],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047551544,0.000040122155,0.002839256,0.0000104507835,3.2982632e-7,0.0013802144,0.000120782555,0.00004837895,0.9862469,0.000116007905,0.00001999663,0.0091300495],"study_design_scores_gemma":[0.0014296077,0.0015669755,0.7347719,0.00031868898,0.000009651924,0.0017630187,0.00003322046,0.0016680376,0.25644508,0.000042564,0.0016714265,0.00027983164],"about_ca_topic_score_codex":0.0000012901055,"about_ca_topic_score_gemma":0.0000022280683,"teacher_disagreement_score":0.73193264,"about_ca_system_score_codex":0.000030869513,"about_ca_system_score_gemma":0.000069523245,"threshold_uncertainty_score":0.46642566},"labels":[],"label_agreement":null},{"id":"W2549036801","doi":"10.1080/19336950.2016.1256517","title":"Loss of HCN channel mediated <i>I</i><sub>h</sub> current following seizures accounts for movement dysfunction","year":2016,"lang":"en","type":"letter","venue":"Channels","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hotchkiss Brain Institute; Ontario Brain Institute; University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; HCN channel; Movement (music); Chemistry; Internal medicine; Medicine; Biology; Ion channel; Physics; Receptor","score_opus":0.03538539732234283,"score_gpt":0.25907996808036593,"score_spread":0.2236945707580231,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2549036801","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35193023,0.0011218237,0.028862348,0.4579063,0.14014992,0.010491354,0.007811503,0.0010282076,0.0006983207],"genre_scores_gemma":[0.446868,0.0011388194,0.000011515224,0.52691716,0.020006271,0.0014206033,0.0013705161,0.000444752,0.0018223724],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9962204,0.0001274793,0.0007052015,0.0011493406,0.0009102865,0.0008872972],"domain_scores_gemma":[0.99777484,0.00072368636,0.0006858812,0.00053762645,0.00017643369,0.00010155799],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00035331177,0.0006230738,0.0006923041,0.00039846622,0.00023431543,0.00009218535,0.0005183211,0.00059745484,0.000016765394],"category_scores_gemma":[0.0004913821,0.00049749843,0.00058362,0.00033417344,0.000112839734,0.0003401048,0.00017561154,0.0007150959,0.00007501376],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011005839,0.00008319295,0.000004984437,0.00064831757,0.00006316525,0.00008887513,0.000085682754,0.000057714045,0.4723023,0.0000598223,0.519632,0.0068639405],"study_design_scores_gemma":[0.002116337,0.00045939843,0.000012491068,0.00093381334,0.00015698244,0.000014598266,0.000010014786,0.002351333,0.5932267,0.0068219644,0.3928362,0.0010602077],"about_ca_topic_score_codex":0.00000557376,"about_ca_topic_score_gemma":0.0000019289128,"teacher_disagreement_score":0.12679575,"about_ca_system_score_codex":0.00019100042,"about_ca_system_score_gemma":0.0000890513,"threshold_uncertainty_score":0.9997477},"labels":[],"label_agreement":null},{"id":"W2549214467","doi":"10.1121/1.4969897","title":"Spatial relationship between two sounds in an oddball paradigm affects responses of neurons in the auditory midbrain to the two sounds","year":2016,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Oddball paradigm; Stimulus (psychology); Sound exposure; Acoustics; Natural sounds; Psychology; Loudspeaker; Audiology; Midbrain; Sound (geography); Electroencephalography; Neuroscience; Event-related potential; Cognitive psychology; Physics; Medicine; Central nervous system","score_opus":0.04136024030913358,"score_gpt":0.3072024564535636,"score_spread":0.26584221614443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2549214467","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93137604,0.000015502877,0.024055263,0.043818314,0.00036280646,0.00028425563,0.000025948735,0.0000065960767,0.00005529827],"genre_scores_gemma":[0.9961787,0.000026282718,0.0002857801,0.002972405,0.00042755005,0.0000037366265,2.1567871e-7,0.000015991807,0.000089347595],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9960685,0.0022373588,0.00051518064,0.00017040192,0.0007000211,0.0003085661],"domain_scores_gemma":[0.9852906,0.013544053,0.00052711216,0.00051446183,0.000049071583,0.000074696465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022877166,0.00015950519,0.00029487538,0.000054576103,0.00026809736,0.000034755354,0.0012650102,0.000053862612,0.000009732601],"category_scores_gemma":[0.003261913,0.000061601735,0.00026636472,0.000643466,0.00090523035,0.00016924075,0.0001747168,0.0006509525,0.0000033378908],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026799238,0.00084449974,0.09593345,0.0000566918,0.00007128123,0.000014642487,0.011172797,0.024779731,0.8204826,0.00093855493,0.020741686,0.022284104],"study_design_scores_gemma":[0.0017731793,0.0020004325,0.9455668,0.00019002103,0.00020120258,0.000091925445,0.0014700672,0.027886756,0.0024546406,0.016554471,0.0015275094,0.00028301871],"about_ca_topic_score_codex":0.00011337975,"about_ca_topic_score_gemma":0.000047146572,"teacher_disagreement_score":0.84963334,"about_ca_system_score_codex":0.00008371741,"about_ca_system_score_gemma":0.00012959479,"threshold_uncertainty_score":0.39050505},"labels":[],"label_agreement":null},{"id":"W2549770411","doi":"10.1152/jn.00145.2016","title":"Neuronal pattern separation of motion-relevant input in LIP activity","year":2016,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Ottawa","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Sensory system; Macaque; Neuroscience; Population; Premovement neuronal activity; Pattern recognition (psychology); Representation (politics); Electrophysiology; Psychology; Computer science; Artificial intelligence","score_opus":0.029091764514045212,"score_gpt":0.27958961697800633,"score_spread":0.2504978524639611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2549770411","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99634796,9.5179024e-7,0.001242365,0.0014494976,0.00085242966,0.000060030252,0.0000065174586,0.000005281572,0.000034988567],"genre_scores_gemma":[0.99928343,0.00007649106,0.000009147354,0.0004270103,0.00014405545,9.132012e-7,1.5731568e-7,0.00000998055,0.000048799713],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987765,0.0003202119,0.00037948633,0.00018615049,0.00018390357,0.00015377524],"domain_scores_gemma":[0.9988642,0.000434611,0.00046315131,0.0001260066,0.000067712725,0.000044364482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000057957535,0.000098394856,0.00023588169,0.00017752661,0.000026007274,0.0000064147107,0.00016783952,0.000048088208,0.000027582062],"category_scores_gemma":[0.00043376628,0.000062228544,0.00009531585,0.00016005416,0.00008679012,0.00025428963,0.000047137175,0.00019636274,0.0000123002455],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001889615,0.0001263979,0.00042921922,0.0000071859936,0.000001702946,0.00004279997,0.00001346748,0.00051474426,0.97532976,0.000084003455,0.00001821309,0.02324357],"study_design_scores_gemma":[0.0011509302,0.0020645666,0.6429027,0.00004571943,0.000008662605,0.00019098184,0.0000020437878,0.004505046,0.3465643,0.0021847957,0.00025309672,0.00012717713],"about_ca_topic_score_codex":0.000004800468,"about_ca_topic_score_gemma":0.0000020268742,"teacher_disagreement_score":0.64247346,"about_ca_system_score_codex":0.000026486936,"about_ca_system_score_gemma":0.000033032844,"threshold_uncertainty_score":0.25376064},"labels":[],"label_agreement":null},{"id":"W2552343086","doi":"10.1109/tmi.2016.2631001","title":"A CCA and ICA-Based Mixture Model for Identifying Major Depression Disorder","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Medical Imaging","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Specialized Research Fund for the Doctoral Program of Higher Education of China; Concordia University; National Natural Science Foundation of China","keywords":"Independent component analysis; Filter (signal processing); Noise (video); Pattern recognition (psychology); Computer science; Artificial intelligence; Process (computing); Separation (statistics); Principal component analysis; Speech recognition; Machine learning; Image (mathematics); Computer vision","score_opus":0.024653831780681826,"score_gpt":0.2905090377160793,"score_spread":0.26585520593539747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2552343086","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05028429,0.000021314148,0.9420148,0.00680021,0.00048455843,0.0002211673,0.000035924568,0.000104222054,0.00003349245],"genre_scores_gemma":[0.99608433,0.00003824097,0.0008646643,0.002381384,0.000038966577,0.000077985846,8.1860964e-7,0.000025830966,0.00048778157],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99870414,0.000048140548,0.00017969101,0.0004356829,0.00037344132,0.00025890337],"domain_scores_gemma":[0.99905914,0.0005329091,0.0000431037,0.00015953496,0.000025403198,0.00017991594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015679079,0.00013686251,0.00011932813,0.000110167006,0.00033614092,0.00005132524,0.00012752062,0.00006842457,0.00007554941],"category_scores_gemma":[0.00013874978,0.00008931418,0.000083087034,0.000113929804,0.00014078477,0.00023157232,0.0000022232484,0.00018869106,0.0000078763915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001540675,0.00017181902,0.00007176449,0.00005451274,0.000004648515,0.000013202613,0.000052223982,0.0013734677,0.5848353,0.00009329634,0.00025323578,0.41292247],"study_design_scores_gemma":[0.0014291211,0.000020823714,0.00002764396,0.00016308714,0.000021711183,0.00001875325,0.000007758216,0.91314757,0.08379273,0.0009226624,0.000306831,0.00014131721],"about_ca_topic_score_codex":0.000006847025,"about_ca_topic_score_gemma":0.000018818968,"teacher_disagreement_score":0.94580007,"about_ca_system_score_codex":0.000026402326,"about_ca_system_score_gemma":0.00004060932,"threshold_uncertainty_score":0.36421263},"labels":[],"label_agreement":null},{"id":"W2554609036","doi":"10.1177/0956797616671557","title":"Emotion-Cognition Interaction in Nonhuman Primates","year":2016,"lang":"en","type":"article","venue":"Psychological Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche","keywords":"Psychology; Cognition; Cognitive psychology; Valence (chemistry); Affect (linguistics); Emotional valence; Developmental psychology; Neuroscience; Communication","score_opus":0.06899492493100401,"score_gpt":0.36157339289588186,"score_spread":0.29257846796487785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2554609036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97839814,0.0000010991458,0.0009906607,0.0017898885,0.0006421607,0.00012416983,0.0000021027658,0.00007301665,0.017978784],"genre_scores_gemma":[0.9988307,0.000023817747,0.00008374943,0.0008368116,0.000039423077,0.000012725725,3.2325875e-7,0.000003103481,0.00016938329],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986903,0.000053638574,0.00015979599,0.00055513694,0.0002655479,0.0002755609],"domain_scores_gemma":[0.9995317,0.00016641518,0.00005941492,0.00014706443,0.000027821114,0.000067583875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003489374,0.00007812053,0.00006859798,0.00013998798,0.00015150795,0.00006786996,0.00026138392,0.000036408626,0.00029604358],"category_scores_gemma":[0.0008284099,0.000043568358,0.000025646334,0.0006743881,0.00040694707,0.0006252956,0.000052693867,0.00008970767,0.00033514446],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019561554,0.0001034083,0.0010018381,9.065702e-7,7.4900655e-8,0.0000050345097,0.000013152792,0.000001941252,0.9498137,0.0039648707,0.000030125795,0.045045342],"study_design_scores_gemma":[0.0010365574,0.0006597396,0.6049881,0.00009511374,0.000002812468,0.00012285376,0.000032828782,0.0016934586,0.331722,0.058216047,0.0010394782,0.0003910233],"about_ca_topic_score_codex":0.0000029712521,"about_ca_topic_score_gemma":0.00000347398,"teacher_disagreement_score":0.61809176,"about_ca_system_score_codex":0.000070965274,"about_ca_system_score_gemma":0.0000061745304,"threshold_uncertainty_score":0.4307716},"labels":[],"label_agreement":null},{"id":"W2555865722","doi":"10.1101/081125","title":"Inferring Synaptic Excitation/Inhibition Balance from Field Potentials","year":2016,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of California, San Diego","keywords":"Computation; Electrocorticography; Local field potential; Balance (ability); Macaque; Computer science; Neuroscience; Field (mathematics); Excitation; Spike (software development); Artificial intelligence; Statistical physics; Electroencephalography; Algorithm; Psychology; Physics; Mathematics","score_opus":0.018266131901265158,"score_gpt":0.2237971429189641,"score_spread":0.20553101101769894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2555865722","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9734888,0.00011533705,0.020234616,0.0010669312,0.003527727,0.00057005853,0.00042059598,0.0005309684,0.00004494889],"genre_scores_gemma":[0.99682564,0.00017441882,0.00060184096,0.0013600228,0.00079034094,0.00013728805,6.027907e-7,0.00009677323,0.000013077005],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968805,0.00022263595,0.0005648111,0.0013301818,0.00048722015,0.00051467994],"domain_scores_gemma":[0.9975884,0.0005014159,0.0005106804,0.0009997715,0.00020273146,0.00019702998],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027395616,0.00048862246,0.00044704968,0.0002330602,0.00024520012,0.00034623808,0.00041489291,0.00047326885,0.00015507356],"category_scores_gemma":[0.0013392788,0.00046425857,0.00017941506,0.0002927267,0.00009152965,0.00037048542,0.00044310567,0.00060873694,0.00025712594],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028658482,0.000050495368,0.0008581735,0.000080378166,0.000027650316,0.00006601381,0.0000034356078,0.00003810937,0.99625087,0.0023509546,0.00024030352,0.0000049603887],"study_design_scores_gemma":[0.0004997482,0.00006690408,0.02212211,0.00074011344,0.0000653869,3.034321e-8,7.688065e-7,0.0026426828,0.97193474,0.00045099383,0.00068275444,0.0007937836],"about_ca_topic_score_codex":0.000053115076,"about_ca_topic_score_gemma":0.0000021374778,"teacher_disagreement_score":0.024316143,"about_ca_system_score_codex":0.00020044172,"about_ca_system_score_gemma":0.00017403494,"threshold_uncertainty_score":0.9997809},"labels":[],"label_agreement":null},{"id":"W2558190570","doi":"10.1371/journal.pone.0167231","title":"When Is the Brain Dead? Living-Like Electrophysiological Responses and Photon Emissions from Applications of Neurotransmitters in Fixed Post-Mortem Human Brains","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Human brain; Neuroscience; Electrophysiology; Biology; Gyrus; Chemistry; Anatomy","score_opus":0.04211685385588833,"score_gpt":0.2489951785963463,"score_spread":0.20687832474045798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2558190570","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98859334,0.000014043282,0.00012526431,0.010534654,0.0000122835745,0.0005172675,0.00011529403,0.000041757274,0.000046084057],"genre_scores_gemma":[0.99423474,0.00005994041,0.00007790104,0.004779755,0.000028510032,0.00010407841,0.0000034760478,0.000015057249,0.00069651246],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986612,0.00026768164,0.00023167748,0.0004190186,0.00021145797,0.00020891985],"domain_scores_gemma":[0.9973884,0.002094964,0.00009327621,0.0003289446,0.000030571,0.00006380622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011129329,0.00012629853,0.00018043352,0.0000784792,0.00017423672,0.000023297502,0.0002483745,0.000060812723,0.00010774543],"category_scores_gemma":[0.00043527284,0.00007358415,0.0000484962,0.00017682042,0.00019104584,0.00008796337,0.00007460903,0.00015753407,0.000007715527],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000093280665,0.00035612241,0.0014615847,0.000009537506,0.000007712311,0.0000021773926,0.00023567038,1.560188e-7,0.9968152,0.00019722768,0.00009742866,0.0007238932],"study_design_scores_gemma":[0.00061594346,0.00088364875,0.21819884,0.00025106987,0.00003980993,0.0000039802817,0.00004343837,0.00048821635,0.76899743,0.009778069,0.00041317707,0.0002863579],"about_ca_topic_score_codex":0.00009200325,"about_ca_topic_score_gemma":0.000043762004,"teacher_disagreement_score":0.22781776,"about_ca_system_score_codex":0.000018882241,"about_ca_system_score_gemma":0.000020921378,"threshold_uncertainty_score":0.30006745},"labels":[],"label_agreement":null},{"id":"W2559879504","doi":"10.1017/s0140525x15002174","title":"Origins of emotional consciousness","year":2016,"lang":"en","type":"article","venue":"Behavioral and Brain Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Muscular Dystrophy Canada","funders":"","keywords":"Consciousness; Frame (networking); Point (geometry); Field (mathematics); Cognitive science; Psychology; Cognitive psychology; Computer science; Neuroscience; Mathematics","score_opus":0.07021437733241986,"score_gpt":0.3211530405298592,"score_spread":0.25093866319743935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2559879504","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99614286,0.000006793573,0.00013506875,0.0030446684,0.00026502446,0.00006526276,0.000027682097,0.000022700917,0.00028991792],"genre_scores_gemma":[0.9991724,0.000011372867,0.000089787776,0.00027905565,0.000026856784,0.0000028873476,2.4037e-7,0.0000024316828,0.00041496212],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991555,0.00004020722,0.00012602021,0.000274927,0.0002526876,0.00015065407],"domain_scores_gemma":[0.9995851,0.00021366474,0.00006155511,0.00006616662,0.00002227881,0.0000512541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018716867,0.00006802117,0.000085954125,0.000066852546,0.00017649616,0.00003075222,0.00014393598,0.00002501043,0.00008675484],"category_scores_gemma":[0.00009879434,0.000036349153,0.000028448712,0.0002330308,0.0009507509,0.0002444464,0.000049245922,0.000026218837,0.000008431806],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000052181267,0.00004397895,0.014477167,0.000002298343,1.8462426e-7,0.0000025016798,0.0000193796,4.990098e-7,0.8829806,0.07810149,0.000087433655,0.024279261],"study_design_scores_gemma":[0.0015572438,0.0018658966,0.18728302,0.00016982292,0.000019147292,0.00022215769,0.00017623235,0.000550874,0.7591319,0.029019427,0.019332537,0.0006717311],"about_ca_topic_score_codex":0.000049600498,"about_ca_topic_score_gemma":0.000014407171,"teacher_disagreement_score":0.17280585,"about_ca_system_score_codex":0.00001986743,"about_ca_system_score_gemma":0.000035674024,"threshold_uncertainty_score":0.35030812},"labels":[],"label_agreement":null},{"id":"W2559933169","doi":"10.7554/elife.20515","title":"On cross-frequency phase-phase coupling between theta and gamma oscillations in the hippocampus","year":2016,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":164,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Coupling (piping); Amplitude; Phase (matter); Hippocampal formation; Neuroscience; Physics; Spurious relationship; Hippocampus; Waveform; Asymmetry; Harmonics; Statistical physics; Mathematics; Biology; Materials science; Quantum mechanics; Statistics","score_opus":0.05116299094399702,"score_gpt":0.34421664799193424,"score_spread":0.29305365704793723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2559933169","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961899,0.00001632539,0.0003040118,0.0021132382,0.00019775482,0.00019195281,0.0000527862,0.000037620364,0.0008964332],"genre_scores_gemma":[0.99880475,0.00003527616,0.000010859495,0.0008329257,0.000120600314,0.0000107465385,0.0000027241417,0.000010128255,0.00017198108],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990438,0.000057872392,0.00017814945,0.00028398994,0.00024576366,0.0001904143],"domain_scores_gemma":[0.9987268,0.0009131741,0.000063272215,0.00023071446,0.000019269319,0.00004680487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032720316,0.00009882555,0.00009043183,0.00006669304,0.0002110264,0.000084041094,0.00013425236,0.000041773164,0.000026776432],"category_scores_gemma":[0.00065005507,0.000052973315,0.00003000709,0.00017233814,0.00011806716,0.00015089875,0.00002541246,0.000111100046,0.00004698414],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013179195,0.00043622564,0.043082178,0.000015457794,0.000007018553,0.00007182067,0.00047830527,0.00013927085,0.84552485,0.04127398,0.0006385639,0.06820051],"study_design_scores_gemma":[0.038818736,0.0059366906,0.321041,0.00058246934,0.000098097495,0.0001939497,0.0001680023,0.036953244,0.15040568,0.42945555,0.01405399,0.0022926144],"about_ca_topic_score_codex":0.000008777174,"about_ca_topic_score_gemma":0.000007910174,"teacher_disagreement_score":0.6951192,"about_ca_system_score_codex":0.00002402373,"about_ca_system_score_gemma":0.000018269977,"threshold_uncertainty_score":0.21601892},"labels":[],"label_agreement":null},{"id":"W2560110786","doi":"10.1038/npp.2016.268","title":"Neurophysiological Characterization of Attentional Performance Dysfunction in Schizophrenia Patients in a Reverse-Translated Task","year":2016,"lang":"en","type":"article","venue":"Neuropsychopharmacology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"National Institute on Drug Abuse; National Institute of Mental Health; NIH Clinical Center; National Institutes of Health; H. Lundbeck A/S; Sidney R. Baer, Jr. Foundation; Astellas Pharma; Amgen","keywords":"Psychology; Cognition; Continuous performance task; Schizophrenia (object-oriented programming); Neuroscience; Neurophysiology; Anterior cingulate cortex; Dorsolateral prefrontal cortex; Prefrontal cortex; Attentional control; Effects of sleep deprivation on cognitive performance; Event-related potential; Posterior parietal cortex; Audiology; Cognitive psychology; Medicine; Psychiatry","score_opus":0.014587596426847354,"score_gpt":0.2446410989888979,"score_spread":0.23005350256205057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560110786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99739534,0.0000010626005,0.000030615724,0.00047178988,0.0015691125,0.0003500866,0.000033991702,0.000036778216,0.00011124679],"genre_scores_gemma":[0.9984864,0.00018903863,0.0000064015935,0.0010770679,0.000051503313,0.000030427811,0.000014484413,0.000017558008,0.00012709902],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99819833,0.00036074963,0.00045074668,0.0005313523,0.00018663192,0.00027217716],"domain_scores_gemma":[0.9994673,0.00013503977,0.00017625872,0.0001272373,0.00004678156,0.000047349436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000089290355,0.00015863418,0.0002053757,0.000293798,0.00004060147,0.0000057697707,0.00016868563,0.000091817776,0.00016535967],"category_scores_gemma":[0.00009800019,0.000119603756,0.0000518839,0.00061536074,0.00011478711,0.00028407035,0.00003524658,0.00021796867,0.000057192734],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020407664,0.00033547956,0.022751259,0.000013965259,0.0000012142018,0.0000148676945,0.000010685109,0.000038257996,0.9606467,0.000057217407,0.000017867556,0.01407176],"study_design_scores_gemma":[0.0055770148,0.0005393483,0.96038634,0.000028972083,0.0000045017014,0.000006065045,2.862667e-7,0.0018577493,0.030934036,0.00005088641,0.00048437392,0.00013043638],"about_ca_topic_score_codex":0.0000038786916,"about_ca_topic_score_gemma":0.0000023206874,"teacher_disagreement_score":0.93763506,"about_ca_system_score_codex":0.000038244176,"about_ca_system_score_gemma":0.000018804849,"threshold_uncertainty_score":0.48772997},"labels":[],"label_agreement":null},{"id":"W2560178082","doi":"10.1101/087676","title":"Optical-flow analysis toolbox for characterization of spatiotemporal dynamics in mesoscale optical imaging of brain activity","year":2016,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Toolbox; Optical flow; Mesoscale meteorology; Computer science; Flow map; Pixel; Flow (mathematics); Artificial intelligence; Computer vision; Pattern recognition (psychology); Data mining; Geology; Image (mathematics); Mathematics","score_opus":0.014576248019421366,"score_gpt":0.2343924655665298,"score_spread":0.21981621754710842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560178082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8353352,0.0000053222493,0.16142428,0.00091811374,0.00045656264,0.0007024877,0.0010847516,0.00006451573,0.0000088068555],"genre_scores_gemma":[0.9972983,0.000020053356,0.0023194354,0.00009405694,0.000096528194,0.000096960044,0.0000031903676,0.000065036686,0.0000064168544],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99720335,0.00016690341,0.0007644054,0.0010024627,0.00043635405,0.00042651792],"domain_scores_gemma":[0.997491,0.00044379476,0.00078453566,0.000819902,0.00032914235,0.00013163417],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006879897,0.00038867336,0.0008445585,0.0006814541,0.00006357288,0.000076460325,0.0004194491,0.000317305,0.000011881652],"category_scores_gemma":[0.0011907005,0.0003773151,0.00032998575,0.0010280953,0.000218383,0.0003034023,0.00025816102,0.00035432205,0.0000017787064],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013572916,0.0002228074,0.015208245,0.00028251373,0.000055774755,0.000006693495,0.0000036002596,0.00013163609,0.9801041,0.003751883,0.000003071752,0.00009395247],"study_design_scores_gemma":[0.00040466213,0.000045361357,0.13929394,0.00013821814,0.00013716075,8.02018e-9,6.067554e-7,0.16737635,0.69226146,0.00001444109,0.000015570926,0.00031225095],"about_ca_topic_score_codex":0.000023515413,"about_ca_topic_score_gemma":0.0000123685095,"teacher_disagreement_score":0.28784266,"about_ca_system_score_codex":0.0003692891,"about_ca_system_score_gemma":0.00023900767,"threshold_uncertainty_score":0.99986786},"labels":[],"label_agreement":null},{"id":"W2560181779","doi":"10.1371/journal.pcbi.1005141","title":"Scaling Properties of Dimensionality Reduction for Neural Populations and Network Models","year":2016,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":120,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Division of Mathematical Sciences; National Institute of Child Health and Human Development; National Institute of General Medical Sciences; National Institute on Deafness and Other Communication Disorders; York University; National Institute on Drug Abuse; National Eye Institute; Richard King Mellon Foundation; Carnegie Mellon University; Eye and Ear Foundation of Pittsburgh; National Defense Science and Engineering Graduate; Research to Prevent Blindness; Andrew W. Mellon Foundation; National Institutes of Health; National Science Foundation","keywords":"Dimensionality reduction; Curse of dimensionality; Scaling; Computer science; Artificial neural network; Multidimensional scaling; Artificial intelligence; Reduction (mathematics); Nerve net; Population; Pattern recognition (psychology); Machine learning; Neuroscience; Mathematics; Biology","score_opus":0.1469117114112407,"score_gpt":0.28776361763710745,"score_spread":0.14085190622586674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560181779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.976905,0.000035688605,0.02102888,0.0014819462,0.0002590994,0.00020609848,0.00003598454,0.000026875745,0.000020432952],"genre_scores_gemma":[0.99733204,0.0000050147655,0.0024041194,0.00010436542,0.00009144399,0.00001883982,0.000014066333,0.0000055388423,0.000024599225],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936384,0.000071370996,0.00017957287,0.0002134801,0.000063686035,0.0001080256],"domain_scores_gemma":[0.99949616,0.0002645989,0.00008542523,0.000047567224,0.00008260838,0.000023620081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007090586,0.00006133019,0.000102020014,0.000034009412,0.0001626062,0.0000058636433,0.000038288366,0.000035894227,0.0000026625796],"category_scores_gemma":[0.00015524823,0.00003919889,0.000028856497,0.00006391547,0.00013159681,0.00010967756,0.000030928823,0.000025508753,7.364749e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000090223046,0.000035027988,0.00038645507,0.000012921106,0.0000049495857,6.992783e-8,0.000015268539,0.13622761,0.6283404,0.23168688,0.000026051062,0.0031741527],"study_design_scores_gemma":[0.00024479866,0.000084363215,0.0012750905,0.000023366607,0.000007483388,0.000011312825,0.0000027861336,0.6418884,0.0106077045,0.34576568,0.00002036965,0.00006863287],"about_ca_topic_score_codex":0.000004137823,"about_ca_topic_score_gemma":8.7607793e-7,"teacher_disagreement_score":0.6177327,"about_ca_system_score_codex":0.000011403415,"about_ca_system_score_gemma":0.000011076231,"threshold_uncertainty_score":0.15984844},"labels":[],"label_agreement":null},{"id":"W2560181822","doi":"10.1016/j.neulet.2016.12.016","title":"New insights into sucking, swallowing and breathing central generators: A complexity analysis of rhythmic motor behaviors","year":2016,"lang":"en","type":"article","venue":"Neuroscience Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Canadian Institutes of Health Research; Agence Nationale de la Recherche","keywords":"Swallowing; Central pattern generator; Breathing; Ventilation (architecture); Biology; Rhythm; Neuroscience; Anatomy; Medicine; Internal medicine; Physics; Surgery","score_opus":0.027302406253711768,"score_gpt":0.2524280624273688,"score_spread":0.22512565617365704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560181822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9845217,0.000006337965,0.011588689,0.002987134,0.00065836316,0.00015403623,0.000009132575,0.000062554194,0.000012048655],"genre_scores_gemma":[0.9934364,0.00002268004,0.00041390987,0.005994873,0.00006550474,0.0000040972054,7.423226e-7,0.00001416331,0.00004765722],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978855,0.00012533316,0.00031051663,0.0007809356,0.00047953555,0.00041817618],"domain_scores_gemma":[0.9991466,0.00013938428,0.000170492,0.00031380856,0.000018010442,0.00021170845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000106144944,0.00019779497,0.00027802412,0.0004501264,0.00027566485,0.000116467316,0.00032042153,0.000044260207,0.0000145538415],"category_scores_gemma":[0.00024504287,0.00014238486,0.00014398176,0.0012262445,0.00042074994,0.0006249585,0.00013870487,0.00012244283,0.0000017515258],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011554298,0.000017446588,0.013600113,0.0000044842186,0.000003479675,0.000040806317,0.000266871,0.00013337989,0.9831856,0.00039748047,0.000044905413,0.0022939066],"study_design_scores_gemma":[0.0007194891,0.00025111312,0.368057,0.000062855805,0.00023622668,0.00004864802,0.000017865601,0.025103908,0.6037322,0.00032754597,0.0008765147,0.00056656124],"about_ca_topic_score_codex":0.00023875115,"about_ca_topic_score_gemma":0.000048596325,"teacher_disagreement_score":0.37945333,"about_ca_system_score_codex":0.00006746399,"about_ca_system_score_gemma":0.000034403252,"threshold_uncertainty_score":0.58062863},"labels":[],"label_agreement":null},{"id":"W2560692850","doi":"10.4236/ojbiphy.2017.71001","title":"Evaluating the Signal Processing Capacities of Post-Mortem Cerebral Cortical Tissue by Artificial Phototransduction of Dynamic Visual Stimuli","year":2016,"lang":"en","type":"article","venue":"Open Journal of Biophysics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Neuroscience; Human brain; Occipital lobe; Visual cortex; Human visual system model; SIGNAL (programming language); Parietal lobe; Electroencephalography; Visual phototransduction; Psychology; Artificial intelligence; Computer science; Retina","score_opus":0.06781653663161255,"score_gpt":0.36516421159781476,"score_spread":0.2973476749662022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560692850","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99402845,0.000015742164,0.0048326724,0.0005147435,0.00027862014,0.0002144043,0.00005289683,0.0000040411214,0.000058401958],"genre_scores_gemma":[0.9994983,0.000009210616,0.00019639128,0.00006914448,0.00010461172,0.0000021325793,0.0000015190975,0.000015545269,0.00010316645],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982548,0.0002148351,0.0006257454,0.00017417296,0.0005546989,0.0001757768],"domain_scores_gemma":[0.9984786,0.00025729142,0.00078606885,0.00010423324,0.00032017444,0.00005362134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051600276,0.0001272644,0.00027729254,0.0000495241,0.00017405549,0.00007368532,0.00037016338,0.000045586694,0.000060209622],"category_scores_gemma":[0.00015251184,0.00007203642,0.00009335389,0.00021691722,0.0004223313,0.00060404476,0.000056494944,0.00019851548,0.0000025267354],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040832008,0.00013054287,0.000011386156,0.000022399272,0.000008598475,0.0000023928667,0.00022644045,0.00006934969,0.86006314,0.00020819859,0.000010279434,0.13883893],"study_design_scores_gemma":[0.0005306379,0.002276762,0.00027016472,0.00016865034,0.000057207322,0.000061645485,0.0003560363,0.018112356,0.97646934,0.0015735149,0.000013701799,0.00010996456],"about_ca_topic_score_codex":0.000020962569,"about_ca_topic_score_gemma":0.0000031467343,"teacher_disagreement_score":0.13872898,"about_ca_system_score_codex":0.000041785723,"about_ca_system_score_gemma":0.00016225339,"threshold_uncertainty_score":0.293756},"labels":[],"label_agreement":null},{"id":"W2561669839","doi":"10.3389/fncir.2016.00103","title":"Large Scale Cortical Functional Networks Associated with Slow-Wave and Spindle-Burst-Related Spontaneous Activity","year":2016,"lang":"en","type":"review","venue":"Frontiers in Neural Circuits","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Human Frontier Science Program; Michael Smith Health Research BC","keywords":"Neuroscience; Sensory system; Cortex (anatomy); Stimulation; Slow-wave sleep; Brain activity and meditation; Sleep spindle; Psychology; Electroencephalography","score_opus":0.031777163165159925,"score_gpt":0.24532932953448225,"score_spread":0.21355216636932234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2561669839","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.051256064,0.9248645,0.005919307,0.00016534165,0.011696018,0.0036076463,0.0006833662,0.0004955294,0.0013122618],"genre_scores_gemma":[0.20620257,0.7903014,0.000009137624,0.000249777,0.00027181752,0.0001189268,0.00013878357,0.00018056584,0.0025270297],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.995497,0.0008420342,0.0006562854,0.0014170983,0.0005843821,0.0010032402],"domain_scores_gemma":[0.99799114,0.00073688285,0.000531983,0.0004093218,0.00005327071,0.00027742187],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00039169186,0.00074652117,0.0016615792,0.00035938903,0.00033972095,0.00013149389,0.00026307444,0.0007416765,0.00005114208],"category_scores_gemma":[0.0005580735,0.00053635205,0.0002987428,0.0008869918,0.00033146335,0.00031911608,0.00014477938,0.0016469823,0.00001445537],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015944494,0.00035753875,0.0004563953,0.0007069519,0.00013064464,0.003145814,0.0000360014,0.000069342415,0.0000868824,0.00017480535,0.0014990343,0.9931771],"study_design_scores_gemma":[0.02169161,0.005343629,0.035947047,0.05784376,0.0046666483,0.036331818,0.0001142011,0.31698453,0.00005512987,0.0021642207,0.5045261,0.014331338],"about_ca_topic_score_codex":0.0000026210816,"about_ca_topic_score_gemma":0.000024861765,"teacher_disagreement_score":0.97884583,"about_ca_system_score_codex":0.00047199475,"about_ca_system_score_gemma":0.00013792004,"threshold_uncertainty_score":0.99970883},"labels":[],"label_agreement":null},{"id":"W2562990687","doi":"10.1016/j.neunet.2016.12.001","title":"An empirical model of activity in macaque inferior temporal cortex","year":2016,"lang":"en","type":"article","venue":"Neural Networks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Macaque; Computational model; Clutter; Visual cortex; Artificial intelligence; Nonhuman primate; Empirical modelling; Statistical model; Contrast (vision); Neuroscience; Machine learning; Biology; Simulation","score_opus":0.0434938171286684,"score_gpt":0.2992441168031867,"score_spread":0.2557502996745183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2562990687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989711,0.0000023862467,0.008954607,0.0006291571,0.0002874682,0.0001749995,0.000013707204,0.000058494785,0.00016816764],"genre_scores_gemma":[0.9989459,0.000018089037,0.00004868454,0.00074143405,0.00008636237,0.000010618492,0.0000014995223,0.00001946407,0.0001279737],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986698,0.00015307483,0.00024136757,0.00042048027,0.00019595018,0.0003193031],"domain_scores_gemma":[0.9992754,0.00019568251,0.00011644943,0.00028592395,0.000021846006,0.000104728206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009426241,0.00015353246,0.0002162579,0.00007851477,0.000048831338,0.000021081472,0.00021622272,0.00012453523,0.000025987565],"category_scores_gemma":[0.00007724639,0.000103371734,0.00006694335,0.0002608998,0.00011907362,0.0004063967,0.000064378786,0.0002274619,0.0000033212652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026908066,0.00016593344,0.058009308,0.000005765931,0.0000010560835,0.000018766043,0.000019789824,0.03248846,0.87138385,0.00029763646,0.00010774987,0.037232593],"study_design_scores_gemma":[0.000416313,0.00020191161,0.041489787,0.000013845571,0.0000024911535,0.000007057269,0.0000011500149,0.9458318,0.011269567,0.00060969475,0.00002001281,0.00013639583],"about_ca_topic_score_codex":0.000031181447,"about_ca_topic_score_gemma":0.00010094761,"teacher_disagreement_score":0.9133433,"about_ca_system_score_codex":0.000037989095,"about_ca_system_score_gemma":0.000024004174,"threshold_uncertainty_score":0.4215377},"labels":[],"label_agreement":null},{"id":"W2563832997","doi":"10.1016/j.cub.2016.11.027","title":"Sharp-Wave Ripples in Primates Are Enhanced near Remembered Visual Objects","year":2016,"lang":"en","type":"article","venue":"Current Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":66,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Krembil Foundation; Canada Foundation for Innovation; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada; Alfred P. Sloan Foundation","keywords":"Hippocampal formation; Hippocampus; Repetition (rhetorical device); Gaze; Neuroscience; Biology; Object (grammar); Primate; Cognitive psychology; Psychology; Computer science; Computer vision; Artificial intelligence","score_opus":0.06124092099763397,"score_gpt":0.3166028674396256,"score_spread":0.25536194644199167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2563832997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970361,0.00011146952,0.00024189276,0.000418562,0.0015414545,0.00018709649,0.00003803597,0.00006820091,0.00035716227],"genre_scores_gemma":[0.9992733,0.00027941904,0.000018825021,0.00015845096,0.00009880322,0.00002468104,0.000010922601,0.0000106625075,0.00012492007],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99878204,0.00012683126,0.00020987456,0.0004750933,0.00006960868,0.00033653012],"domain_scores_gemma":[0.9994153,0.00023876116,0.00012017082,0.00015003308,0.000023924416,0.000051850737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000083666986,0.00013900128,0.00017952755,0.00007716463,0.00007224504,0.00002184723,0.00012224448,0.00007880976,0.000110112705],"category_scores_gemma":[0.00054751994,0.000088176785,0.00004737232,0.00017262985,0.00016312026,0.00009076785,0.00010180201,0.00010982004,0.00014261281],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044966913,0.000073457355,0.0027441587,0.000013705874,0.0000011698801,0.0000041196863,0.000033471046,0.0000010542212,0.95727086,0.0011420718,0.00013224487,0.03853872],"study_design_scores_gemma":[0.0015176042,0.00040356498,0.02945616,0.00019299772,0.0000066897405,0.000019064308,0.000023553146,0.002360592,0.9475168,0.006244397,0.0117978165,0.0004607534],"about_ca_topic_score_codex":0.000005558249,"about_ca_topic_score_gemma":0.00004808407,"teacher_disagreement_score":0.038077965,"about_ca_system_score_codex":0.000050073642,"about_ca_system_score_gemma":0.000027340398,"threshold_uncertainty_score":0.3595745},"labels":[],"label_agreement":null},{"id":"W2566475958","doi":"10.1016/j.dcn.2016.11.002","title":"Using fNIRS to examine occipital and temporal responses to stimulus repetition in young infants: Evidence of selective frontal cortex involvement","year":2016,"lang":"en","type":"article","venue":"Developmental Cognitive Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Child Health and Human Development; Canadian Institutes of Health Research; National Science Foundation","keywords":"Psychology; Stimulus (psychology); Perception; Neuroscience; Frontal lobe; Frontal cortex; Auditory cortex; Occipital lobe; Temporal cortex; Cognitive psychology; Visual perception; Temporal lobe; Audiology; Medicine","score_opus":0.07745823164327434,"score_gpt":0.31633990074922674,"score_spread":0.2388816691059524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2566475958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952277,0.00000638149,0.0031341787,0.00016136785,0.00038871964,0.00082379335,0.00008585203,0.000031387965,0.00014064454],"genre_scores_gemma":[0.99775314,0.000020167152,0.000741701,0.0012505532,0.000014579445,0.000045208813,0.0000012107207,0.000016503467,0.0001569241],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9973797,0.0002066835,0.00042559777,0.001009892,0.00055964716,0.0004184692],"domain_scores_gemma":[0.99884695,0.00057413353,0.00014451609,0.00010775791,0.00012710242,0.00019953326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041862205,0.00023207719,0.0002310366,0.00045446656,0.00019431852,0.000062298896,0.00021162668,0.000040738938,0.000011200532],"category_scores_gemma":[0.004604907,0.00019144361,0.000027892454,0.001138101,0.00030045974,0.000852374,0.0003867964,0.00010767546,0.000010901453],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006786624,0.00006695792,0.13337012,0.00000904288,7.846077e-7,0.0000424302,0.00050267356,0.0000033827107,0.8631597,0.000028994407,0.000005054183,0.0021321813],"study_design_scores_gemma":[0.0004708741,0.00077850005,0.6353579,0.00054226443,0.0000038557027,0.000083739935,0.0002482647,0.0003523647,0.3618679,0.00004400137,0.00000801244,0.00024231082],"about_ca_topic_score_codex":0.00014492436,"about_ca_topic_score_gemma":0.00031969696,"teacher_disagreement_score":0.5019878,"about_ca_system_score_codex":0.00028323755,"about_ca_system_score_gemma":0.00017823106,"threshold_uncertainty_score":0.7806844},"labels":[],"label_agreement":null},{"id":"W2568039432","doi":"10.3389/fncir.2016.00111","title":"Rules for Shaping Neural Connections in the Developing Brain","year":2017,"lang":"en","type":"review","venue":"Frontiers in Neural Circuits","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Neuroscience; Psychology; Cognitive science; Cognitive psychology; Computer science","score_opus":0.2250088571059703,"score_gpt":0.369811920747924,"score_spread":0.14480306364195372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2568039432","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005794174,0.9800077,0.0017052658,0.0023458304,0.010034439,0.004287046,0.00022311434,0.00011290131,0.0007042668],"genre_scores_gemma":[0.003800473,0.99105257,0.00016146564,0.002583927,0.00057977904,0.0010867452,0.00010422695,0.00013279426,0.0004980477],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99642444,0.0006400983,0.0008396214,0.001017343,0.00032263156,0.00075588794],"domain_scores_gemma":[0.99725693,0.0014275432,0.00056701043,0.00065354176,0.00003176272,0.000063219006],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007281057,0.00055188,0.0013014311,0.00063451205,0.00064964057,0.00041723932,0.001469944,0.0003106574,0.0000035641929],"category_scores_gemma":[0.0027289947,0.00041342332,0.00048218778,0.00056366815,0.00017610828,0.0004205921,0.00012321926,0.00095077837,0.000008917083],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005050365,0.00002531918,0.000037399976,0.0019297679,0.000008147627,0.00006187597,0.00008903903,0.000025157991,0.000015972124,0.0018733732,0.0034169692,0.9925119],"study_design_scores_gemma":[0.00048197556,0.00007441544,0.00018028806,0.0027164577,0.0000725078,0.00021896092,0.000053220407,0.0084557645,0.0000033724807,0.0021338158,0.9849207,0.0006885518],"about_ca_topic_score_codex":0.000019823838,"about_ca_topic_score_gemma":0.00006830142,"teacher_disagreement_score":0.9918234,"about_ca_system_score_codex":0.0002761545,"about_ca_system_score_gemma":0.00017379958,"threshold_uncertainty_score":0.99983174},"labels":[],"label_agreement":null},{"id":"W2568151476","doi":"10.1093/oxfordhb/9780195304787.003.0014","title":"Neurocomputational Models: Theory, Application, Philosophical Consequences","year":2009,"lang":"en","type":"book-chapter","venue":"Oxford University Press eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Neural coding; Computer science; Representation (politics); Neural system; Coding (social sciences); Set (abstract data type); Nonlinear system; Artificial neural network; Encoding (memory); Artificial intelligence; Population; Decoding methods; Cognitive science; Mathematics; Algorithm; Neuroscience; Psychology; Sociology","score_opus":0.04684822681126213,"score_gpt":0.2225840948858649,"score_spread":0.17573586807460276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2568151476","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000089687026,0.000010091286,0.0064294925,0.00043167037,0.00018628326,0.0004593014,0.00013363786,0.00019142714,0.9920684],"genre_scores_gemma":[0.040768337,0.00016259283,0.00013453323,0.0013495131,0.00029812928,0.0000020525074,0.000051042764,0.000043574524,0.9571902],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998462,0.00007480889,0.00018620792,0.0007014659,0.0003707311,0.0002047609],"domain_scores_gemma":[0.9990176,0.00023613847,0.00022928396,0.00030982797,0.000086389446,0.00012076496],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000074584656,0.00029948817,0.00024458228,0.00014299531,0.00030274517,0.00005767942,0.00050085323,0.00025386922,0.000015312227],"category_scores_gemma":[0.000014893286,0.0003214561,0.00015723197,0.000013827897,0.00045592515,0.00014561864,0.00014662585,0.00043666418,0.000003091528],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011543263,0.000013058409,8.6279314e-8,0.000011617803,0.000009615244,0.00007621337,0.000017381355,0.00057180366,0.00080825534,0.9873109,0.00019542607,0.010870196],"study_design_scores_gemma":[0.00017042196,0.000057187375,5.869473e-7,0.00001694323,0.000034144407,0.000028884471,0.0000011413011,0.0055704843,0.00021989644,0.48783246,0.5058532,0.00021467156],"about_ca_topic_score_codex":0.0000041377116,"about_ca_topic_score_gemma":0.0000014808888,"teacher_disagreement_score":0.50565773,"about_ca_system_score_codex":0.000074335156,"about_ca_system_score_gemma":0.00007928413,"threshold_uncertainty_score":0.99992377},"labels":[],"label_agreement":null},{"id":"W2568867359","doi":"10.1523/jneurosci.1784-16.2016","title":"Impact of Altered Cholinergic Tones on the Neurovascular Coupling Response to Whisker Stimulation","year":2017,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Heart and Stroke Foundation of Canada","keywords":"Neuroscience; Barrel cortex; Local field potential; Acetylcholine; Premovement neuronal activity; Stimulation; Electrophysiology; Cerebral blood flow; Psychology; Cholinergic; Chemistry; Medicine; Internal medicine","score_opus":0.07440991912213635,"score_gpt":0.34800133088868734,"score_spread":0.273591411766551,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2568867359","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955334,0.0000027980902,0.00040601837,0.0024935151,0.0013461298,0.00015880518,0.0000052524115,0.0000071659506,0.000046914007],"genre_scores_gemma":[0.99883056,0.000021418522,0.000022035027,0.00087429327,0.00012068483,0.000001163211,3.623606e-8,0.000012211417,0.00011761629],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9982474,0.00015982281,0.00039293268,0.0002690776,0.0007084573,0.00022230604],"domain_scores_gemma":[0.99777913,0.0005577723,0.00077107333,0.0006060455,0.00015586994,0.00013008591],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0010381807,0.00013625859,0.0001982271,0.00019167952,0.00054118,0.00024693148,0.00095577247,0.00002784197,0.000008522688],"category_scores_gemma":[0.008785848,0.000078994075,0.00023255467,0.00027688232,0.00018643399,0.0004992672,0.00011742677,0.00026450565,0.000004686218],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061805604,0.00006108957,0.0015679407,0.0000016942025,9.0560815e-7,0.000026563534,0.000033789718,0.10995512,0.88723475,0.0000773149,0.00007277559,0.00035000226],"study_design_scores_gemma":[0.0004020082,0.0020374772,0.83762264,0.000046024903,0.0000101198875,0.00014504105,0.0000040389873,0.11087591,0.0483577,0.00014115621,0.00025037868,0.00010747998],"about_ca_topic_score_codex":0.000008020297,"about_ca_topic_score_gemma":6.2985515e-7,"teacher_disagreement_score":0.838877,"about_ca_system_score_codex":0.00004143938,"about_ca_system_score_gemma":0.00008784345,"threshold_uncertainty_score":0.9995636},"labels":[],"label_agreement":null},{"id":"W2570982327","doi":"10.1038/ncomms13920","title":"Updating temporal expectancy of an aversive event engages striatal plasticity under amygdala control","year":2017,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institutes of Health; National Institute of Mental Health; Centre National de la Recherche Scientifique; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Agence Nationale de la Recherche; Fundação de Amparo à Pesquisa do Estado de São Paulo; York University","keywords":"Amygdala; Striatum; Neuroscience; Basal ganglia; Expectancy theory; Fear conditioning; Psychology; Classical conditioning; Local field potential; Conditioning; Dopamine; Central nervous system; Mathematics","score_opus":0.039409465532432304,"score_gpt":0.3259809371465862,"score_spread":0.2865714716141539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2570982327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99198097,0.00008915751,0.00090760604,0.0028032428,0.00046170675,0.00036949618,0.00030824874,0.00006527361,0.003014274],"genre_scores_gemma":[0.9988977,0.000039392824,0.00061900064,0.00027910038,0.000048018774,0.000012865182,0.000040237574,0.000011384646,0.000052325435],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989472,0.00028341086,0.00021098873,0.00021700263,0.00019954232,0.00014187321],"domain_scores_gemma":[0.9972201,0.00074649916,0.00039354485,0.0014921508,0.000087292,0.00006042259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016973692,0.00010753073,0.00014915968,0.000055122902,0.0012254495,0.00008565282,0.0013926434,0.00013563797,0.000015426114],"category_scores_gemma":[0.001946073,0.00009862283,0.00006346523,0.00008108549,0.00023673841,0.00039662552,0.00031301787,0.00080334145,0.0000043969912],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001520033,0.00076145557,0.009089612,0.000020778478,0.00004367342,0.000005443278,0.0005316328,0.00056415075,0.7208818,0.26471332,0.00049814954,0.0027379724],"study_design_scores_gemma":[0.008934394,0.0011114106,0.5248689,0.00028022673,0.000276402,0.000057169003,0.003544613,0.20094441,0.23465525,0.014347545,0.009380435,0.0015992591],"about_ca_topic_score_codex":0.000054685348,"about_ca_topic_score_gemma":0.00042904244,"teacher_disagreement_score":0.51577926,"about_ca_system_score_codex":0.00003693717,"about_ca_system_score_gemma":0.000044780925,"threshold_uncertainty_score":0.9425291},"labels":[],"label_agreement":null},{"id":"W2571312664","doi":"10.1167/16.12.611","title":"Effects of neural ensemble size and composition on the decoding of attention in primate lateral prefrontal cortex","year":2016,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Neurological Institute and Hospital; Ottawa Hospital; McGill University; Western University","funders":"","keywords":"Decoding methods; Prefrontal cortex; Primate; Neural ensemble; Macaque; Stimulus (psychology); Neural decoding; Fixation (population genetics); Psychology; Pattern recognition (psychology); Computer science; Neuroscience; Population; Cognition; Cognitive psychology; Algorithm; Medicine","score_opus":0.010764844805843374,"score_gpt":0.26026052285975515,"score_spread":0.24949567805391176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2571312664","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990443,0.000011806842,0.00011317297,0.00045262044,0.00023727874,0.000107084525,0.0000015073177,0.0000021248661,0.000030077756],"genre_scores_gemma":[0.9997939,0.00006279396,0.000033820932,0.00006800698,0.000020047579,4.2150322e-7,8.305556e-8,0.0000044410917,0.000016485477],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99924767,0.0001241896,0.0002752987,0.00008209703,0.0001949782,0.00007579461],"domain_scores_gemma":[0.99886686,0.0006805072,0.00034817564,0.00005009694,0.000032523538,0.000021824162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020847066,0.000057822057,0.00012931456,0.00006892825,0.000033831126,0.000012026143,0.00006217662,0.000025661222,0.0000037821012],"category_scores_gemma":[0.00015281828,0.000028964909,0.00005037433,0.0000641549,0.000039141807,0.00020803546,0.000025853837,0.00007826688,5.775955e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033299657,0.00007272858,0.0014101767,0.000027437356,0.000001579936,0.00000966338,0.000031112068,0.0000112111275,0.99229854,0.0001850476,0.000008973886,0.005610515],"study_design_scores_gemma":[0.00074625714,0.00087895687,0.5294769,0.0004104648,0.0000068078502,0.000042834567,0.0000027752055,0.002318906,0.46568298,0.00040083393,0.0000017115327,0.000030550866],"about_ca_topic_score_codex":0.0000023635464,"about_ca_topic_score_gemma":0.0000011756885,"teacher_disagreement_score":0.52806675,"about_ca_system_score_codex":0.00002673304,"about_ca_system_score_gemma":0.000005533664,"threshold_uncertainty_score":0.11811547},"labels":[],"label_agreement":null},{"id":"W2572858475","doi":"10.1002/dvg.22999","title":"Probing forebrain to hindbrain circuit functions in <i>Xenopus</i>","year":2017,"lang":"en","type":"review","venue":"genesis","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"National Institute of Neurological Disorders and Stroke; National Institute of General Medical Sciences; National Institute on Deafness and Other Communication Disorders; National Institutes of Health","keywords":"Hindbrain; Forebrain; Xenopus; Neuroscience; Biology; Central nervous system; Genetics","score_opus":0.1687036892779426,"score_gpt":0.33911286031476395,"score_spread":0.17040917103682135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2572858475","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00029467745,0.98399305,0.000536419,0.00039785975,0.0032651809,0.0033265674,0.00033435627,0.000232616,0.007619296],"genre_scores_gemma":[0.00022817963,0.9854205,0.00004816859,0.00087839284,0.00041746767,0.0007308771,0.000057610123,0.00013833746,0.012080441],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971007,0.00026545528,0.00061798404,0.0011137647,0.00031300078,0.0005890978],"domain_scores_gemma":[0.9981041,0.00033397102,0.00036609883,0.0009944626,0.000025197865,0.00017619133],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00045451924,0.0004792309,0.0011197184,0.00058881025,0.00042340942,0.00025387073,0.00081372424,0.00028421503,0.00006460714],"category_scores_gemma":[0.00090934616,0.00042091042,0.00042210304,0.0006744828,0.00005489379,0.00019343838,0.00026234923,0.00038252742,0.0007545817],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028495633,0.000039159422,0.0000042557895,0.0015160287,0.0000074427335,0.000040374638,0.000041268693,0.000009882503,0.00066969864,0.0004659571,0.0018098077,0.9953933],"study_design_scores_gemma":[0.00010416953,0.00005645522,0.000010683097,0.0020556604,0.00008017821,0.00006082655,0.0000054664692,0.000029056273,0.00004394449,0.00025332367,0.99684113,0.00045912017],"about_ca_topic_score_codex":0.0000672656,"about_ca_topic_score_gemma":0.00013021898,"teacher_disagreement_score":0.9950313,"about_ca_system_score_codex":0.00023770107,"about_ca_system_score_gemma":0.00022734438,"threshold_uncertainty_score":0.9998243},"labels":[],"label_agreement":null},{"id":"W2574722535","doi":"","title":"Coincidence Detection: Towards an alternative to Synaptic Plasticity","year":2011,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Neuroscience; Metaplasticity; Synaptic plasticity; Computer science; Population; Coincidence detection in neurobiology; Plasticity; Simple (philosophy); Exploit; Coincidence; Psychology; Biology; Physics","score_opus":0.04133668861501044,"score_gpt":0.2361823940577059,"score_spread":0.19484570544269547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2574722535","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97062844,0.000004177355,0.00502827,0.00018119172,0.00039187647,0.00035719213,0.00086923665,0.0005126885,0.022026906],"genre_scores_gemma":[0.99658453,0.0000027096582,0.0003118099,0.002394881,0.00015931654,0.000032905937,0.000026345904,0.00006157962,0.0004259031],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978168,0.0001281174,0.00034389124,0.0007909283,0.00044226737,0.0004780053],"domain_scores_gemma":[0.99881876,0.00016438898,0.00011598676,0.00032933248,0.000034143246,0.0005374172],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009681406,0.00030053282,0.00021603884,0.00019073523,0.00023548564,0.00078476494,0.00065374444,0.000101494785,0.0005021841],"category_scores_gemma":[0.0009869552,0.00026901436,0.000105355604,0.0006177717,0.00012079495,0.005203814,0.00031240284,0.00040470212,0.002649734],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0056544016,0.0034426297,0.030806042,0.00022285618,0.00015797028,0.0031624462,0.0010359181,0.00045785698,0.5341275,0.05656598,0.0014639011,0.36290252],"study_design_scores_gemma":[0.0006649273,0.0020473783,0.015326209,0.00009321429,0.000027627273,0.00033120002,0.000058513702,0.0072874515,0.90670097,0.04147789,0.024769133,0.001215479],"about_ca_topic_score_codex":0.000011123887,"about_ca_topic_score_gemma":0.000005272804,"teacher_disagreement_score":0.3725735,"about_ca_system_score_codex":0.000049867653,"about_ca_system_score_gemma":0.000057307087,"threshold_uncertainty_score":0.9999762},"labels":[],"label_agreement":null},{"id":"W2575317549","doi":"","title":"Nengo and the Neural Engineering Framework: Connecting Cognitive Theory to Neuroscience","year":2011,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Variety (cybernetics); Content-addressable memory; Symbol (formal); Cognitive architecture; Cognitive neuroscience; Artificial intelligence; Reinforcement learning; Cognition; Artificial neural network; Cognitive science; Theoretical computer science; Programming language; Psychology; Neuroscience","score_opus":0.02673635972485624,"score_gpt":0.2179802164211656,"score_spread":0.19124385669630936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2575317549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9852596,0.00003673331,0.0073960596,0.00076768204,0.00044443322,0.00049726886,0.00032743352,0.00038169572,0.0048890924],"genre_scores_gemma":[0.9918845,0.000007749755,0.00026064986,0.00750906,0.00008819762,0.000025921163,0.00000629455,0.000057369598,0.00016024137],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99818224,0.00016944206,0.0002750268,0.0006278484,0.00026703358,0.00047839695],"domain_scores_gemma":[0.9976941,0.0016698542,0.00009154399,0.00025179525,0.000018968269,0.00027377074],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.000297081,0.00026475568,0.00020071185,0.00012439444,0.0003588103,0.0011657046,0.00046388904,0.00007858456,0.00008098271],"category_scores_gemma":[0.0066557126,0.00018520409,0.000094403345,0.000625657,0.00024057645,0.0023287085,0.00047712986,0.0006134794,0.00019058147],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0043417453,0.00043047048,0.028135518,0.00012633661,0.00003275336,0.00039331062,0.0021668656,0.000263185,0.04869534,0.7719159,0.00018182192,0.14331673],"study_design_scores_gemma":[0.007970706,0.0021211705,0.07734883,0.0010943102,0.0001949387,0.0014009184,0.0012219558,0.097317755,0.2462024,0.4973109,0.062453154,0.0053629717],"about_ca_topic_score_codex":0.000001362076,"about_ca_topic_score_gemma":1.4352581e-7,"teacher_disagreement_score":0.27460504,"about_ca_system_score_codex":0.00000830581,"about_ca_system_score_gemma":0.000016534854,"threshold_uncertainty_score":0.9998712},"labels":[],"label_agreement":null},{"id":"W2577511158","doi":"10.1007/s13534-016-0004-1","title":"Adaptive common average reference for in vivo multichannel local field potentials","year":2017,"lang":"en","type":"article","venue":"Biomedical Engineering Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Concordia University; National Natural Science Foundation of China","keywords":"Computer science; Local field potential; Noise (video); Artificial intelligence; Field (mathematics); Pattern recognition (psychology); Mathematics; Neuroscience","score_opus":0.029377892917320996,"score_gpt":0.2530527138884529,"score_spread":0.22367482097113192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2577511158","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47224736,0.000005073711,0.5173094,0.0081997365,0.001672452,0.0003528645,0.000051661686,0.0000815248,0.00007987255],"genre_scores_gemma":[0.99734455,0.000004866697,0.0004306777,0.001997892,0.0001242791,0.000031859156,0.0000029576247,0.000014330582,0.000048601305],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990598,0.000015275054,0.00017320951,0.00028324724,0.00018325933,0.00028519245],"domain_scores_gemma":[0.99930185,0.0003005408,0.00005844128,0.00023669733,0.0000075952908,0.00009490054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001264977,0.000120880206,0.00015447645,0.00009048148,0.0001205275,0.00005761352,0.0003079746,0.0000872857,0.000017954913],"category_scores_gemma":[0.0005962613,0.000110278204,0.000049707123,0.000053360087,0.00009045577,0.00012000344,0.00007942413,0.00018306458,0.0000065299196],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045351713,0.000030699972,0.000013624063,0.000025290063,0.000002769777,0.000056045297,0.00002352394,0.002416138,0.99315035,0.00057113764,0.00075626455,0.0029088221],"study_design_scores_gemma":[0.0011723988,0.00029671285,0.0013604552,0.000119756056,0.0000070865954,0.000013324421,0.000007843065,0.8096182,0.18105742,0.00011222973,0.0059067076,0.0003278867],"about_ca_topic_score_codex":0.00009465576,"about_ca_topic_score_gemma":0.0000084892245,"teacher_disagreement_score":0.8120929,"about_ca_system_score_codex":0.000040525832,"about_ca_system_score_gemma":0.0000075596417,"threshold_uncertainty_score":0.44970146},"labels":[],"label_agreement":null},{"id":"W2578208782","doi":"","title":"Simulating the Temporal Dynamics of Learning-Related Shifts in Generalization Gradients with a Single-Layer Perceptron","year":2011,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Killam Trusts; University of Alberta; National Science Foundation","keywords":"Generalization; Artificial intelligence; Perceptron; Machine learning; Artificial neural network; Psychology; Perception; Set (abstract data type); Computer science; Cognitive psychology; Cognitive science; Mathematics; Neuroscience","score_opus":0.029224357131110427,"score_gpt":0.21145350649673778,"score_spread":0.18222914936562734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2578208782","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994071,0.000008688065,0.00032182608,0.00015597384,0.00009311182,0.0003203806,0.000204791,0.00016137313,0.004662859],"genre_scores_gemma":[0.9987693,0.0000033714757,0.00015715447,0.0001748486,0.000019825862,0.000008961291,0.00024211693,0.00006890954,0.00055550423],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99814963,0.00020433533,0.00048124144,0.00044853144,0.00035384143,0.00036241263],"domain_scores_gemma":[0.9991957,0.00014759153,0.00028283146,0.00024976596,0.000027244492,0.00009688193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014374885,0.00024804097,0.00021470113,0.00018233538,0.00015432434,0.0002318764,0.00034535018,0.00011175395,0.00014215695],"category_scores_gemma":[0.00032694565,0.00017058039,0.000087471024,0.00088476075,0.00016233845,0.0021313985,0.0001405469,0.00048489444,0.00006843149],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043654809,0.00053605426,0.9732015,0.000049612423,0.0000152831,0.000048521553,0.0004728915,0.003821888,0.010678957,0.0058059646,0.000025470754,0.0049073156],"study_design_scores_gemma":[0.0059024403,0.0038086353,0.2799902,0.00082662824,0.00009642866,0.00009937344,0.0007996676,0.6211298,0.035680912,0.044365864,0.004741323,0.0025587366],"about_ca_topic_score_codex":0.000015823349,"about_ca_topic_score_gemma":0.000023868253,"teacher_disagreement_score":0.6932113,"about_ca_system_score_codex":0.000051728603,"about_ca_system_score_gemma":0.000033489618,"threshold_uncertainty_score":0.69560665},"labels":[],"label_agreement":null},{"id":"W2578577905","doi":"10.1038/srep40606","title":"A computational psychiatry approach identifies how alpha-2A noradrenergic agonist Guanfacine affects feature-based reinforcement learning in the macaque","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":369,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Ministero dello Sviluppo Economico; Ontario Ministry of Economic Development and Innovation","keywords":"Guanfacine; Reinforcement learning; Cognitive flexibility; Neuroscience; Context (archaeology); Flexibility (engineering); Machine learning; Feature (linguistics); Artificial intelligence; Computer science; Psychology; Cognitive psychology; Agonist; Cognition; Clonidine; Medicine; Biology; Receptor; Internal medicine; Mathematics","score_opus":0.022430297217436952,"score_gpt":0.2600066878859058,"score_spread":0.23757639066846886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2578577905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9790566,0.000024926823,0.0027742807,0.0047701104,0.00842195,0.0006697605,0.0000015611836,0.00008510123,0.0041957027],"genre_scores_gemma":[0.9911216,0.0000012458006,0.00033295804,0.00030102092,0.00008556182,0.000057917947,0.00010689426,0.00001612885,0.007976693],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997255,0.00015872199,0.0002766484,0.00096763717,0.00096394727,0.00037799086],"domain_scores_gemma":[0.99814445,0.000084690364,0.00063710596,0.0009949667,0.00006586949,0.00007290654],"candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0012396923,0.00021523517,0.00019149901,0.00020660408,0.0024800992,0.0028360775,0.0004994402,0.000072370596,0.000014716475],"category_scores_gemma":[0.0005285484,0.00015505074,0.00013119388,0.00037399368,0.00039769203,0.00041334677,0.000094611474,0.00036380006,0.0000081369535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014454336,0.00051631074,0.034193378,0.00027392968,0.000018923838,0.0013138803,0.0008838265,0.60237366,0.32802746,0.009840944,0.020275287,0.0021378507],"study_design_scores_gemma":[0.0018274145,0.00030341596,0.056796636,0.00023526815,0.00006345449,0.0012490613,0.0005727946,0.810046,0.092099935,0.024700442,0.010965805,0.0011397578],"about_ca_topic_score_codex":0.000032856235,"about_ca_topic_score_gemma":0.00007028621,"teacher_disagreement_score":0.23592752,"about_ca_system_score_codex":0.00004690947,"about_ca_system_score_gemma":0.00018065899,"threshold_uncertainty_score":0.9988185},"labels":[],"label_agreement":null},{"id":"W2578935686","doi":"10.1162/neco_a_00934","title":"STDP-Compatible Approximation of Backpropagation in an Energy-Based Model","year":2017,"lang":"en","type":"article","venue":"Neural Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":114,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Université de Montréal; Canadian Institute for Advanced Research","funders":"Canada Research Chairs","keywords":"Backpropagation; Inference; Computer science; Artificial neural network; Latent variable; Markov chain; Algorithm; Artificial intelligence; Machine learning","score_opus":0.0700559932964008,"score_gpt":0.3070109804145279,"score_spread":0.2369549871181271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2578935686","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9036737,0.0000011646731,0.09516753,0.00021764726,0.00014626996,0.00015688951,0.0000063314988,0.000040613257,0.0005898613],"genre_scores_gemma":[0.9985671,9.466922e-7,0.0011157846,0.00020185694,0.00002177052,0.000012053336,0.000043374883,0.000012718077,0.000024398825],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99895376,0.00010100423,0.00026354662,0.00029947454,0.00025053174,0.0001316667],"domain_scores_gemma":[0.99925375,0.000060905793,0.0003391959,0.00024004685,0.00006915677,0.000036949466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000117332376,0.00010512096,0.0001302297,0.00014676731,0.00019688792,0.00011342334,0.00019196764,0.000048157417,0.000003407853],"category_scores_gemma":[0.00010242031,0.00010291783,0.000035732537,0.00011611173,0.000059138256,0.0008128078,0.000026262422,0.00008214893,0.000002238391],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005789114,0.00008165311,0.0010275341,0.000019422318,2.9216832e-7,0.0000013033948,0.000038883336,0.6163428,0.36425608,0.0038424565,0.000005820074,0.014325897],"study_design_scores_gemma":[0.00047306585,0.00013774344,0.011822885,0.000013426578,0.00000255763,8.785315e-7,0.0000040890045,0.88669324,0.09378974,0.006970872,0.0000016298626,0.000089878755],"about_ca_topic_score_codex":0.00006480892,"about_ca_topic_score_gemma":0.00012009024,"teacher_disagreement_score":0.27046633,"about_ca_system_score_codex":0.0000356276,"about_ca_system_score_gemma":0.000027957034,"threshold_uncertainty_score":0.41968673},"labels":[],"label_agreement":null},{"id":"W2579922155","doi":"10.1007/s12124-017-9380-z","title":"Towards Topological Mechanisms Underlying Experience Acquisition and Transmission in the Human Brain","year":2017,"lang":"en","type":"article","venue":"Integrative Psychological and Behavioral Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Antipodal point; Projection (relational algebra); Computer science; Point (geometry); Topology (electrical circuits); Process (computing); Euclidean geometry; Space (punctuation); Cognitive science; Epistemology; Euclidean space; Artificial intelligence; Sociology; Psychology; Mathematics; Pure mathematics; Algorithm; Philosophy","score_opus":0.20369415698941742,"score_gpt":0.45862181175144306,"score_spread":0.2549276547620256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2579922155","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913574,0.0000093087065,0.0022657532,0.004483643,0.00012824505,0.00022816946,0.000003188744,0.000023213424,0.0015010895],"genre_scores_gemma":[0.99817044,0.000021652066,0.00033530162,0.0013678073,0.000010144911,0.000032159245,5.215015e-7,0.0000025141458,0.000059466332],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983881,0.00014289549,0.00016570506,0.0006766205,0.00033815025,0.00028849245],"domain_scores_gemma":[0.9994791,0.00008610593,0.00008350184,0.00022907699,0.000025585006,0.00009662254],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005606644,0.00015272273,0.00013713924,0.000058448273,0.0016598053,0.00053067744,0.00064267346,0.00008026975,0.000056311746],"category_scores_gemma":[0.000168904,0.00007315609,0.000032371,0.00019035877,0.0023943032,0.00055535487,0.000121310586,0.00029391315,0.0000018181032],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017650955,0.00013549688,0.00088330713,8.183276e-7,8.908093e-8,0.00003313012,0.0009265214,1.14481004e-7,0.892378,0.054970805,0.000004272442,0.050649825],"study_design_scores_gemma":[0.00042212938,0.0015143724,0.8403148,0.00003963437,0.0000042600022,0.00014178938,0.0017333522,0.00041059402,0.02617725,0.12892309,0.00007361834,0.00024507428],"about_ca_topic_score_codex":0.00010590899,"about_ca_topic_score_gemma":0.00002152696,"teacher_disagreement_score":0.86620075,"about_ca_system_score_codex":0.000023660446,"about_ca_system_score_gemma":0.0000069580033,"threshold_uncertainty_score":0.99963987},"labels":[],"label_agreement":null},{"id":"W2580360885","doi":"10.1016/j.schres.2017.01.044","title":"Impaired theta-gamma coupling during working memory performance in schizophrenia","year":2017,"lang":"en","type":"article","venue":"Schizophrenia Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":86,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"National Institute on Drug Abuse; National Institute of Mental Health; Canadian Institutes of Health Research","keywords":"Working memory; Psychology; Schizophrenia (object-oriented programming); Schizoaffective disorder; Neuroscience; Coupling (piping); Prefrontal cortex; Electroencephalography; Dorsolateral prefrontal cortex; Psychosis; Cognition; Psychiatry","score_opus":0.10320917974208899,"score_gpt":0.3364248790472248,"score_spread":0.2332156993051358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2580360885","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99305624,0.000069406764,0.0000035159771,0.00085452525,0.0007133631,0.0005581275,0.0000052428422,0.00012546268,0.0046141422],"genre_scores_gemma":[0.9970243,0.00022806383,0.00012334195,0.000029068933,0.0004803009,0.00008488387,0.0000024624123,0.000064581654,0.0019629942],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9957739,0.00023231319,0.0004581495,0.0010345287,0.0012437126,0.0012573767],"domain_scores_gemma":[0.99763525,0.00039541366,0.00019601999,0.0014382441,0.00010729954,0.00022780125],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.002122301,0.0002954979,0.00033776628,0.00065864477,0.0029624903,0.00091181946,0.0016152489,0.00016775346,0.000085820415],"category_scores_gemma":[0.0016783677,0.00026817943,0.00012167796,0.00061968784,0.000538382,0.0008296967,0.0009201957,0.0016327765,0.00032950004],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006543713,0.00020718761,0.022291891,0.00017371957,0.000013856094,0.0003704266,0.0002657348,0.002498427,0.91615283,0.003463944,0.000058928887,0.047959335],"study_design_scores_gemma":[0.006529825,0.00025778578,0.63238513,0.0005875456,0.0000081413245,0.00010339893,0.00010023037,0.11406219,0.24170996,0.003201714,0.00025776454,0.000796314],"about_ca_topic_score_codex":0.00010687177,"about_ca_topic_score_gemma":0.0002399543,"teacher_disagreement_score":0.6744429,"about_ca_system_score_codex":0.00022758161,"about_ca_system_score_gemma":0.00019015832,"threshold_uncertainty_score":0.99997705},"labels":[],"label_agreement":null},{"id":"W2580757382","doi":"10.1101/101030","title":"Real-time spike sorting platform for high-density extracellular probes with ground-truth validation and drift correction","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":179,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Howard Hughes Medical Institute","keywords":"Spike sorting; Spike (software development); Computer science; Ground truth; Sorting; Software; Noise (video); Artificial intelligence; Pipeline (software); Scalability; Pattern recognition (psychology); Cluster analysis; Algorithm","score_opus":0.020905453898524638,"score_gpt":0.2231157205711518,"score_spread":0.20221026667262718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2580757382","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896588,0.000026739617,0.005591874,0.00010302947,0.002577839,0.0015166219,0.0000812805,0.00043009772,0.000013757983],"genre_scores_gemma":[0.9967357,0.00013561525,0.0022052643,0.00003369493,0.00047312342,0.00020522479,0.0000021524677,0.00012673315,0.000082483515],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99707264,0.000082581166,0.00047911252,0.0014365817,0.0004174981,0.0005115767],"domain_scores_gemma":[0.9971926,0.000242972,0.001090691,0.0009637342,0.0003296106,0.00018036211],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006776978,0.0005414472,0.0005292999,0.0002074934,0.0008993564,0.00084818155,0.000353813,0.0004197114,0.0000079036445],"category_scores_gemma":[0.00081800384,0.0005121859,0.00009656431,0.0001713911,0.00018444406,0.0005841644,0.0002873044,0.000541009,0.000013496664],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014858009,0.000073632,0.0009501329,0.00026584705,0.000024633997,0.000019775793,0.0000087215085,0.00010811274,0.9961226,0.0022100683,0.000042903615,0.000025008441],"study_design_scores_gemma":[0.00068625156,0.00025118666,0.029187936,0.00039365023,0.00015456865,2.8294812e-7,0.0000023163248,0.012798637,0.9554774,0.000092116454,0.0001598295,0.0007957854],"about_ca_topic_score_codex":0.00021864276,"about_ca_topic_score_gemma":0.000007857523,"teacher_disagreement_score":0.040645145,"about_ca_system_score_codex":0.00019210481,"about_ca_system_score_gemma":0.00021671598,"threshold_uncertainty_score":0.999733},"labels":[],"label_agreement":null},{"id":"W2581476630","doi":"10.7554/elife.23871","title":"A theory of working memory without consciousness or sustained activity","year":2017,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":221,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"European Research Council; Canadian Institute for Advanced Research; Fondation Roger de Spoelberch; Institut National de la Santé et de la Recherche Médicale; Collège de France; Fondation du Collège de France","keywords":"Working memory; Magnetoencephalography; Cognitive psychology; Neuroscience; Consciousness; Spatial memory; Perception; Psychology; Computer science; Cognition; Electroencephalography","score_opus":0.06908250379573595,"score_gpt":0.3007407018320293,"score_spread":0.23165819803629334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2581476630","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99084496,0.0000043254986,0.00067921815,0.00036348143,0.0005841005,0.00016253196,0.0000041733383,0.00004671151,0.00731048],"genre_scores_gemma":[0.9946874,0.000010862024,0.000024997817,0.0003473968,0.000093711285,0.000006655684,2.2645183e-7,0.000012692779,0.004816059],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991459,0.00011163957,0.0001086096,0.00023827856,0.0002194654,0.00017609395],"domain_scores_gemma":[0.9989376,0.00029444424,0.0002219039,0.00045869593,0.000038047627,0.000049276357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003419598,0.00009203472,0.00015638658,0.000040907256,0.00038030723,0.00007546508,0.00024468856,0.000042721902,0.00004720511],"category_scores_gemma":[0.0018951619,0.000067061395,0.000047237274,0.00005730774,0.00023783377,0.00016748732,0.00013321472,0.00011553234,0.000010461244],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014773123,0.0001508622,0.010728995,0.000059201946,0.000011873156,0.00010746355,0.0003116248,0.000027635322,0.9139039,0.015939413,0.00026006543,0.05702167],"study_design_scores_gemma":[0.0017222564,0.00024390608,0.04552077,0.0001157285,0.00003154151,0.000052792515,0.00028512735,0.007760739,0.93863434,0.0033501955,0.0018688666,0.00041371855],"about_ca_topic_score_codex":0.00001532693,"about_ca_topic_score_gemma":0.000035978694,"teacher_disagreement_score":0.05660795,"about_ca_system_score_codex":0.000018997283,"about_ca_system_score_gemma":0.00006311188,"threshold_uncertainty_score":0.2925054},"labels":[],"label_agreement":null},{"id":"W2581833031","doi":"10.1177/1754073916667237","title":"Hierarchical Brain Systems Support Multiple Representations of Valence and Mixed Affect","year":2017,"lang":"en","type":"article","venue":"Emotion Review","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Valence (chemistry); Psychology; Negativity effect; Cognitive psychology; Affect (linguistics); Negativity bias; Social psychology; Communication","score_opus":0.05953148933114569,"score_gpt":0.3351885307949131,"score_spread":0.27565704146376746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2581833031","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9600767,0.005189879,0.0032659096,0.020714587,0.002699911,0.0028679736,0.00015308509,0.00013288985,0.0048990655],"genre_scores_gemma":[0.98895854,0.0094071375,0.000048031747,0.00046965998,0.000038265225,0.000021269545,0.000008346449,0.000007380375,0.0010413596],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989423,0.00023939276,0.0002552933,0.0002767543,0.00017956208,0.00010666594],"domain_scores_gemma":[0.9988752,0.00033141967,0.00026795003,0.00043346267,0.000033097884,0.0000588669],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004277461,0.00008017779,0.0002148399,0.00003243828,0.00023716726,0.00005875079,0.0001517489,0.000027599744,0.00003625884],"category_scores_gemma":[0.0034660562,0.00006577366,0.00006572183,0.00006746258,0.00013137223,0.00019777319,0.00007377151,0.00008816988,0.000022220544],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000584464,0.00044803694,0.04271318,0.02306507,0.00003181476,0.00009096038,0.00019590028,0.00006759797,0.59220207,0.05248343,0.054924477,0.23371904],"study_design_scores_gemma":[0.0026493766,0.0010468898,0.80546695,0.014560658,0.00022144211,0.0007630938,0.0000420744,0.038664952,0.037549876,0.002302765,0.09562839,0.0011035231],"about_ca_topic_score_codex":0.00002986221,"about_ca_topic_score_gemma":0.000004002997,"teacher_disagreement_score":0.7627538,"about_ca_system_score_codex":0.000007898214,"about_ca_system_score_gemma":0.000013701295,"threshold_uncertainty_score":0.41494435},"labels":[],"label_agreement":null},{"id":"W2582003296","doi":"10.1103/physreve.95.062144","title":"When memory pays: Discord in hidden Markov models","year":2017,"lang":"en","type":"article","venue":"Physical review. E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hidden Markov model; Ising model; Markov chain; Markov model; Hidden semi-Markov model; Computer science; Variable-order Markov model; Statistical physics; State (computer science); Markov process; Artificial intelligence; Algorithm; Mathematics; Machine learning; Statistics; Physics","score_opus":0.06033979071210724,"score_gpt":0.33604857659965204,"score_spread":0.27570878588754477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2582003296","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94311875,0.0010339174,0.00021973507,0.011230754,0.0005481809,0.0008301835,0.000019280655,0.0000695205,0.042929653],"genre_scores_gemma":[0.99268794,0.0040554223,0.000055039996,0.0021073462,0.000165986,0.000044873676,0.0000020329164,0.00001600588,0.0008653409],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99886864,0.0000931226,0.00018431013,0.00038824254,0.00023828527,0.00022737957],"domain_scores_gemma":[0.9990208,0.00012056696,0.00013899963,0.00063251366,0.0000134690845,0.00007366543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001427233,0.00013522818,0.00029453938,0.00002165763,0.00014500596,0.00008223294,0.00043693752,0.000017131093,0.000025795138],"category_scores_gemma":[0.00058106286,0.00009990758,0.00012654599,0.000058846763,0.00008756887,0.00049632625,0.0001931891,0.00018884547,0.00013584508],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060641745,0.0005533886,0.00038332402,0.0009494484,0.0000061926553,0.0001061966,0.00014171262,0.00003131383,0.22231911,0.06702354,0.008627571,0.6997976],"study_design_scores_gemma":[0.0010455499,0.0002559326,0.0071501974,0.0027990716,0.00007581469,0.000020636176,0.000009891836,0.21532507,0.02011685,0.73678493,0.015378445,0.0010375723],"about_ca_topic_score_codex":0.00004427287,"about_ca_topic_score_gemma":0.000018218894,"teacher_disagreement_score":0.69876,"about_ca_system_score_codex":0.000030586318,"about_ca_system_score_gemma":0.000014302618,"threshold_uncertainty_score":0.40741128},"labels":[],"label_agreement":null},{"id":"W2583270144","doi":"10.1007/s11571-017-9459-8","title":"Measures of entropy and complexity in altered states of consciousness","year":2017,"lang":"en","type":"article","venue":"Cognitive Neurodynamics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":123,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Toronto Western Hospital; Hospital for Sick Children; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Wakefulness; Consciousness; Electroencephalography; Entropy (arrow of time); Computer science; Cognition; Magnetoencephalography; Neurophysiology; Transfer entropy; Information theory; Psychology; Artificial intelligence; Cognitive psychology; Neuroscience; Principle of maximum entropy; Mathematics; Statistics; Physics","score_opus":0.10217798336600015,"score_gpt":0.30531345475507976,"score_spread":0.2031354713890796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2583270144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981651,0.000011213805,0.00039103327,0.0001437175,0.00027546365,0.00024364922,0.00024476464,0.000011733289,0.00051336456],"genre_scores_gemma":[0.99960536,0.00017442279,0.000023238015,0.00013468755,0.00001269331,0.0000043883047,0.000007444142,0.000012611214,0.000025129591],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989294,0.0001288432,0.000264974,0.00031845906,0.00018839835,0.0001699353],"domain_scores_gemma":[0.9988594,0.00041248853,0.00033547825,0.00022086847,0.0001264712,0.000045311586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013048617,0.00012467979,0.00026297237,0.000097620104,0.00012992207,0.000039938655,0.00019984476,0.00003689854,0.000005314185],"category_scores_gemma":[0.0015667852,0.00011797531,0.000040508974,0.00007420019,0.0009773498,0.00016158116,0.00015174494,0.00013987243,0.0000010264065],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050566864,0.00026611262,0.12939842,0.00014569347,0.0000093921735,0.000039205792,0.00027261747,0.00006297829,0.8443983,0.013345085,0.0000071765267,0.011549327],"study_design_scores_gemma":[0.001905284,0.00035094324,0.8068488,0.00013387119,0.000026089745,0.000022218557,0.00011869645,0.07944912,0.094940685,0.015956419,0.000018519064,0.00022935035],"about_ca_topic_score_codex":0.00009365679,"about_ca_topic_score_gemma":0.0002808402,"teacher_disagreement_score":0.74945766,"about_ca_system_score_codex":0.000009807011,"about_ca_system_score_gemma":0.000022805934,"threshold_uncertainty_score":0.48108932},"labels":[],"label_agreement":null},{"id":"W2584632106","doi":"10.7554/elife.19976","title":"Mapping cortical mesoscopic networks of single spiking cortical or sub-cortical neurons","year":2017,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":145,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Vancouver Coastal Health","funders":"Canadian Institutes of Health Research; Fondation Brain Canada","keywords":"Neuroscience; Cortical neurons; Nerve net; Cerebral cortex; Context (archaeology); Neuron; Premovement neuronal activity; Electrophysiology; Biology","score_opus":0.06664940239277053,"score_gpt":0.291641572437072,"score_spread":0.22499217004430147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2584632106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9887909,0.000011775653,0.007571823,0.00061003864,0.0014031593,0.0002068512,0.0000052289047,0.000083304956,0.0013169126],"genre_scores_gemma":[0.9981838,0.00003382334,0.00014537136,0.0010677582,0.00030134222,0.000007966086,0.000001810111,0.000029299857,0.00022884308],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9978889,0.0001739488,0.00047025472,0.00049954245,0.00045859694,0.0005087329],"domain_scores_gemma":[0.99817806,0.0007017473,0.00021990137,0.0006305202,0.000054871947,0.00021490312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025241898,0.00018876651,0.0003135947,0.00006251185,0.0007429982,0.00018098598,0.00036703152,0.000117447205,0.000085182844],"category_scores_gemma":[0.004954588,0.00015317486,0.00010902582,0.00014204427,0.00044098077,0.00021563147,0.00027904904,0.000545429,0.0000390405],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013642875,0.00022710954,0.009170488,0.000024185441,0.0000068619934,0.00020656051,0.00004404946,0.00015823267,0.9835328,0.0041075163,0.00024927355,0.0021365033],"study_design_scores_gemma":[0.0013256869,0.0010560324,0.5102137,0.000194741,0.00006301329,0.00019090224,0.00005143627,0.26604092,0.21792315,0.00022347509,0.0021193116,0.00059766305],"about_ca_topic_score_codex":0.000011697969,"about_ca_topic_score_gemma":0.000017420507,"teacher_disagreement_score":0.7656096,"about_ca_system_score_codex":0.000033915734,"about_ca_system_score_gemma":0.000051847914,"threshold_uncertainty_score":0.62462896},"labels":[],"label_agreement":null},{"id":"W2586305175","doi":"10.1111/ejn.13534","title":"From Maxwell's equations to the theory of current‐source density analysis","year":2017,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institute of Neurological Disorders and Stroke; Norges Forskningsråd; G. Harold and Leila Y. Mathers Charitable Foundation; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; G. Harold and Leila Y. Mathers Foundation; National Science Foundation","keywords":"Maxwell's equations; Current (fluid); Physics; Statistical physics; Classical mechanics; Thermodynamics","score_opus":0.08122669856642058,"score_gpt":0.2992314957030347,"score_spread":0.21800479713661414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2586305175","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83577025,0.000017658424,0.16017474,0.0014820324,0.0017307028,0.000083609055,0.00002182415,0.000009881773,0.00070928485],"genre_scores_gemma":[0.9985077,0.000028353823,0.0000725933,0.000863811,0.00021627353,2.6925395e-7,3.7684532e-7,0.000011562483,0.00029911005],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.997579,0.0008886434,0.00043665472,0.00031261594,0.00058651285,0.0001965783],"domain_scores_gemma":[0.99750763,0.00048278927,0.00096325635,0.00076603406,0.00012998383,0.00015031644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015156323,0.00012058297,0.00020496591,0.00020404888,0.00076973136,0.00029776397,0.0019368542,0.000008615073,0.000013622568],"category_scores_gemma":[0.006028337,0.000078111385,0.00022445731,0.00055688084,0.0003667529,0.00037348186,0.0003528082,0.0002846981,0.00002133972],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000066714725,0.00008485064,0.0011449408,0.0000022626766,0.000008621395,0.00006974669,0.0004272557,0.004101018,0.9602915,0.0013330141,0.00024342633,0.03222666],"study_design_scores_gemma":[0.0005835708,0.00067971525,0.8793407,0.00007987461,0.00043531042,0.00008611105,0.00013139573,0.0213311,0.060924016,0.0019986788,0.0340253,0.0003841944],"about_ca_topic_score_codex":0.0000055880446,"about_ca_topic_score_gemma":0.00000389413,"teacher_disagreement_score":0.89936745,"about_ca_system_score_codex":0.000013561292,"about_ca_system_score_gemma":0.000035332858,"threshold_uncertainty_score":0.7216918},"labels":[],"label_agreement":null},{"id":"W2586350278","doi":"10.1126/sciadv.1600396","title":"Revealing physical interaction networks from statistics of collective dynamics","year":2017,"lang":"en","type":"article","venue":"Science Advances","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Max-Planck-Gesellschaft; Azrieli Foundation; Bundesministerium für Bildung und Forschung","keywords":"Asynchronous communication; Dynamics (music); Computer science; Statistical physics; Physics; Telecommunications","score_opus":0.024819206977001605,"score_gpt":0.32725875247046216,"score_spread":0.3024395454934605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2586350278","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94547164,0.000012498173,0.049974438,0.00011830863,0.001826188,0.0001221315,0.000102952115,0.000022684702,0.00234915],"genre_scores_gemma":[0.998398,0.000025679255,0.0011841182,0.00005866385,0.00010083437,0.0000038101218,0.000002784841,0.0000052896244,0.00022083716],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989652,0.000026129628,0.00013273099,0.00036838424,0.00031365536,0.0001939011],"domain_scores_gemma":[0.9989134,0.00031544757,0.00032555932,0.00030321852,0.000092519695,0.00004983262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013833969,0.000082918894,0.00012784055,0.00005432614,0.0008391381,0.00016414975,0.0004854075,0.000016958322,0.000005730436],"category_scores_gemma":[0.0012333543,0.00007077269,0.000026535632,0.00022492501,0.0009047271,0.001276585,0.00011847237,0.00012421593,0.0000041286494],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011637796,0.00012461387,0.0029959772,0.00001184709,0.0000030773372,0.00000952907,0.00033415048,0.019591352,0.79894716,0.020385591,0.00004841447,0.15743192],"study_design_scores_gemma":[0.00014500863,0.00013128549,0.007239262,0.00003755935,0.0000068328745,0.0000022637855,0.00011689319,0.8147326,0.14970292,0.027658662,0.00009947813,0.00012724877],"about_ca_topic_score_codex":0.000062826904,"about_ca_topic_score_gemma":0.00009499804,"teacher_disagreement_score":0.7951412,"about_ca_system_score_codex":0.000107653046,"about_ca_system_score_gemma":0.00006925781,"threshold_uncertainty_score":0.64540565},"labels":[],"label_agreement":null},{"id":"W2586563078","doi":"10.1523/eneuro.0313-16.2017","title":"Hetereogeneity in Neuronal Intrinsic Properties: A Possible Mechanism for Hub-Like Properties of the Rat Anterior Cingulate Cortex during Network Activity","year":2017,"lang":"en","type":"article","venue":"eNeuro","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Wellcome Trust","keywords":"Neuroscience; Anterior cingulate cortex; Computer science; Oscillation (cell signaling); Nerve net; Intrinsic activity; Mechanism (biology); Biology; Biological system; Physics; Cognition; Receptor","score_opus":0.04004379855419179,"score_gpt":0.24135072357215986,"score_spread":0.20130692501796807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2586563078","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99675256,0.000011437519,0.000020414194,0.00043092752,0.0019253278,0.0007571806,0.000008720304,0.000035907833,0.000057513465],"genre_scores_gemma":[0.99873656,0.000027658616,0.000009895399,0.00042010818,0.00012383796,0.00005631032,1.5452844e-7,0.0000311635,0.00059431454],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985088,0.00014850982,0.0002597371,0.00048299652,0.00022654077,0.00037338593],"domain_scores_gemma":[0.9989204,0.00004409362,0.0003066762,0.00063841965,0.000045020235,0.000045389505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014565501,0.00019355454,0.0002460078,0.000048172158,0.00069991243,0.00015091636,0.00055459875,0.00005404178,0.000003320327],"category_scores_gemma":[0.00051230745,0.00012852144,0.00013246675,0.00010759405,0.00016385657,0.0003093397,0.00032983135,0.00020648653,0.000001778441],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038866475,0.00005860976,0.0015091829,0.0000820341,0.0000029998916,0.0000074765644,0.000058671005,0.0003023817,0.99667126,0.00012211369,0.0000056581166,0.000790928],"study_design_scores_gemma":[0.00056569173,0.00014646446,0.092820324,0.00013121923,0.00000842849,0.000022825836,0.0000030864062,0.0074355802,0.8983224,0.00036131678,0.000035273533,0.00014735876],"about_ca_topic_score_codex":0.0000743357,"about_ca_topic_score_gemma":0.00018382336,"teacher_disagreement_score":0.09834885,"about_ca_system_score_codex":0.00003211734,"about_ca_system_score_gemma":0.00005026348,"threshold_uncertainty_score":0.5383231},"labels":[],"label_agreement":null},{"id":"W2586602830","doi":"10.1093/schbul/sbw174","title":"A Neural “Tuning Curve” for Multisensory Experience and Cognitive-Perceptual Schizotypy","year":2016,"lang":"en","type":"article","venue":"Schizophrenia Bulletin","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":87,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Mental Health Research Canada; University of Ottawa","funders":"Canadian Institutes of Health Research; University of Ottawa","keywords":"Schizotypy; Psychology; Cognition; Perception; Cognitive psychology; Neuroscience","score_opus":0.0348551815576331,"score_gpt":0.2686841169905476,"score_spread":0.23382893543291453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2586602830","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932625,0.000045101577,0.0025200131,0.0027212838,0.0005093049,0.00047682133,0.00009096551,0.00016060294,0.00021338457],"genre_scores_gemma":[0.9962392,0.00003726845,0.0009869582,0.00091740396,0.00020534064,0.000113987226,0.000003319786,0.000040790543,0.0014557359],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982017,0.00013656892,0.00025265658,0.0007476225,0.00021755349,0.00044389084],"domain_scores_gemma":[0.99854124,0.00093615014,0.0001039141,0.00019337922,0.000061398605,0.00016393534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014572844,0.00024487192,0.00020737003,0.00009900861,0.0003818508,0.00009140802,0.00017807208,0.00008552156,0.00029795404],"category_scores_gemma":[0.0016211466,0.00017463406,0.0000850345,0.000119671015,0.00037565397,0.00015408176,0.00011402012,0.00014414404,0.00014696512],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013231814,0.000048719266,0.0007608367,0.000015836327,0.0000045374227,0.000018356694,0.00018385223,0.0000014464127,0.9053192,0.002663686,0.0004149567,0.08924539],"study_design_scores_gemma":[0.05612619,0.0047015203,0.09515101,0.001619822,0.00024979736,0.0013250824,0.002175394,0.0359307,0.67396736,0.005739578,0.11662837,0.0063851587],"about_ca_topic_score_codex":0.000010549229,"about_ca_topic_score_gemma":0.0000054942752,"teacher_disagreement_score":0.23135182,"about_ca_system_score_codex":0.000019044255,"about_ca_system_score_gemma":0.000019006207,"threshold_uncertainty_score":0.712137},"labels":[],"label_agreement":null},{"id":"W2587051359","doi":"10.1038/ncomms13967","title":"Theta and beta synchrony coordinate frontal eye fields and anterior cingulate cortex during sensorimotor mapping","year":2017,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials; York University; Western University","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Saccade; Supplementary eye field; Anterior cingulate cortex; Macaque; Beta Rhythm; Local field potential; BETA (programming language); Coherence (philosophical gambling strategy); Cortex (anatomy); Synchronization (alternating current); Psychology; Cognition; Eye movement; Electroencephalography; Computer science; Physics","score_opus":0.021123211615914652,"score_gpt":0.2855370094718503,"score_spread":0.26441379785593566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2587051359","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903285,0.0008160948,0.000026232132,0.0057109008,0.00030511458,0.00020126489,0.000029708208,0.0000538698,0.0025283403],"genre_scores_gemma":[0.99741924,0.0011685315,0.0002710459,0.0002855593,0.000043290263,0.000008568725,0.0000043040254,0.000013541835,0.00078592426],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992535,0.00007270628,0.00014666714,0.00027446568,0.00009202711,0.00016060936],"domain_scores_gemma":[0.998299,0.00013222224,0.00015260316,0.0013212506,0.000032781703,0.00006211589],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.000099884295,0.00012186725,0.00014528359,0.000057683657,0.001659439,0.0002632184,0.00059885107,0.000153303,0.0000066021635],"category_scores_gemma":[0.00023908344,0.00011103686,0.000035960507,0.0000453083,0.0002695725,0.0002649526,0.0007605348,0.00061567297,0.0000035630233],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003232803,0.00005640198,0.027474005,0.000049289847,0.00002144536,0.00002030484,0.00037115376,0.0000017334105,0.9605555,0.0052822693,0.00011354934,0.0060220067],"study_design_scores_gemma":[0.0006050903,0.000042134223,0.9762491,0.000111948815,0.00002489434,0.000101496014,0.000057739384,0.01176126,0.006275117,0.0004996771,0.0040129805,0.0002585775],"about_ca_topic_score_codex":0.00003774563,"about_ca_topic_score_gemma":0.0001619666,"teacher_disagreement_score":0.9542804,"about_ca_system_score_codex":0.00002029147,"about_ca_system_score_gemma":0.0000102288195,"threshold_uncertainty_score":0.9996403},"labels":[],"label_agreement":null},{"id":"W2587244207","doi":"10.3791/55217","title":"A Visual Guide to Sorting Electrophysiological Recordings Using 'SpikeSorter'","year":2017,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Spike sorting; Computer science; Sorting; Software; Set (abstract data type); sort; Spike (software development); Graphical user interface; Interface (matter); Reliability (semiconductor); Data file; Raw data; Computer hardware; Data mining; Database; Operating system; Algorithm; Programming language; Power (physics)","score_opus":0.07490942670607272,"score_gpt":0.4690085145787965,"score_spread":0.3940990878727238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2587244207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947143,0.000018449557,0.0034172984,0.00015606848,0.0010497399,0.00014323708,8.999802e-7,0.000018617266,0.00048137724],"genre_scores_gemma":[0.99534047,0.000024572519,0.0028936125,0.0010832557,0.00040717865,0.0000032097025,2.3708984e-7,0.000024497705,0.00022299898],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980864,0.0001190217,0.00068003003,0.0002939413,0.00044912618,0.0003715091],"domain_scores_gemma":[0.9982975,0.000067474306,0.0010888645,0.00023233492,0.00010925494,0.00020458254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032991322,0.0001845043,0.00037197382,0.00014617253,0.0005958722,0.00030813497,0.00051341683,0.00006765352,0.00006512389],"category_scores_gemma":[0.0013560518,0.00014393244,0.00019757796,0.00009778597,0.00006168192,0.00049997406,0.00019242591,0.00021520459,0.000018958035],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046343557,0.00014122544,0.00018396338,0.000003012832,0.000010532565,0.00008010883,0.00007305827,0.00002504149,0.9960516,0.000121527686,0.00033762975,0.0025088398],"study_design_scores_gemma":[0.0011174732,0.0015261549,0.00097268075,0.000080154954,0.000016326643,0.0001684904,0.000055293975,0.005152851,0.9885539,0.00032901604,0.0018133186,0.0002143528],"about_ca_topic_score_codex":0.000024709583,"about_ca_topic_score_gemma":3.6269526e-7,"teacher_disagreement_score":0.0074977376,"about_ca_system_score_codex":0.00013805258,"about_ca_system_score_gemma":0.000049083657,"threshold_uncertainty_score":0.58693945},"labels":[],"label_agreement":null},{"id":"W2587561272","doi":"10.1371/journal.pcbi.1005281","title":"Accuracy Maximization Analysis for Sensory-Perceptual Tasks: Computational Improvements, Filter Robustness, and Coding Advantages for Scaled Additive Noise","year":2017,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Eye Institute","keywords":"Robustness (evolution); Computer science; Perception; Coding (social sciences); Speech recognition; Maximization; Noise (video); Sensory system; Artificial intelligence; Pattern recognition (psychology); Mathematics; Biology; Cognitive psychology; Psychology; Statistics; Neuroscience; Mathematical optimization","score_opus":0.05194229296513241,"score_gpt":0.31213445650988275,"score_spread":0.26019216354475033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2587561272","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4317248,0.00000826564,0.5638711,0.0009639905,0.0002153512,0.0007701179,0.00237074,0.000044763354,0.000030905252],"genre_scores_gemma":[0.98074454,0.000021524465,0.015785564,0.0007543047,0.00014588964,0.0001623901,0.0022654566,0.000018237914,0.00010208863],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986329,0.000079273705,0.00030372388,0.0006011242,0.00013715883,0.0002458036],"domain_scores_gemma":[0.9968534,0.0022723142,0.00038234462,0.00014543635,0.0002814496,0.000065065586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012341846,0.00018363642,0.00027966456,0.00018672914,0.0009228337,0.00015928796,0.00018820951,0.00008862106,0.00004337602],"category_scores_gemma":[0.0012153279,0.00017063656,0.00012330455,0.0000980374,0.00024067237,0.0003285665,0.00009665957,0.00007694213,0.0000034053917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010343236,0.00046797065,0.016272878,0.0001503171,0.00068219134,0.000005217604,0.0002297077,0.7563334,0.15519994,0.037870307,0.00067021593,0.031083535],"study_design_scores_gemma":[0.0013203541,0.00019630103,0.02194349,0.000009493725,0.00014526692,0.00000471907,0.00002313344,0.962476,0.0017672636,0.011720462,0.00018421067,0.00020929378],"about_ca_topic_score_codex":0.0000053253593,"about_ca_topic_score_gemma":0.000006894944,"teacher_disagreement_score":0.54901975,"about_ca_system_score_codex":0.000039241335,"about_ca_system_score_gemma":0.00003812423,"threshold_uncertainty_score":0.70977837},"labels":[],"label_agreement":null},{"id":"W2588517835","doi":"10.1016/j.neuroimage.2017.02.033","title":"Involuntary orienting of attention to a sound desynchronizes the occipital alpha rhythm and improves visual perception","year":2017,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":72,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Marie Curie; Canada Foundation for Innovation; National Science Foundation","keywords":"Cued speech; Psychology; Perception; Neuroscience; Electroencephalography; Rhythm; Audiology; Cognitive psychology; Medicine","score_opus":0.02578802183175491,"score_gpt":0.2883422357879606,"score_spread":0.2625542139562057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588517835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99767125,0.00000603521,0.0003877852,0.0007340826,0.00058457215,0.00026807853,0.000010486236,0.00003064739,0.00030706986],"genre_scores_gemma":[0.9989437,0.00001640305,0.00007202441,0.0005158054,0.00013938938,0.000009533085,0.0000021832006,0.000016312457,0.0002846657],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989713,0.00007077204,0.00017243918,0.0003811586,0.00020589569,0.00019844822],"domain_scores_gemma":[0.9993185,0.00009962271,0.00016401331,0.000328223,0.00003562608,0.000054004737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015894868,0.00011875896,0.00011088086,0.000051207582,0.0007143017,0.000274158,0.00018896553,0.000031104042,0.000011768499],"category_scores_gemma":[0.0005147398,0.0000893178,0.000054143824,0.000067359964,0.00021752734,0.00049689686,0.00025917398,0.00013207262,0.000016224894],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033966382,0.000029368066,0.0043504327,0.00001873715,0.0000015079157,0.000009773004,0.0001380442,0.0000019295098,0.9826295,0.00019856513,0.00007143138,0.012516796],"study_design_scores_gemma":[0.00046376555,0.0005550401,0.9580365,0.000028767814,0.000025250154,0.00010499633,0.0001644122,0.015553591,0.023854498,0.0007147986,0.00029955545,0.00019886497],"about_ca_topic_score_codex":0.00007492233,"about_ca_topic_score_gemma":0.000036696827,"teacher_disagreement_score":0.9587749,"about_ca_system_score_codex":0.00001654863,"about_ca_system_score_gemma":0.000010405131,"threshold_uncertainty_score":0.5493904},"labels":[],"label_agreement":null},{"id":"W2590971650","doi":"10.3389/fnhum.2017.00088","title":"Cortical Alpha Oscillations Predict Speech Intelligibility","year":2017,"lang":"en","type":"article","venue":"Frontiers in Human Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":105,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre; University of Toronto; Health Sciences Centre","funders":"National Institute on Deafness and Other Communication Disorders; Hearing Health Foundation","keywords":"Active listening; Psychology; Electroencephalography; Audiology; Working memory; Cognition; Cognitive psychology; Brain activity and meditation; Alpha (finance); Cognitive resource theory; Perception; Speech recognition; Communication; Neuroscience; Developmental psychology; Computer science","score_opus":0.05350943772543958,"score_gpt":0.31543554076908653,"score_spread":0.26192610304364694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2590971650","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.970405,0.000007828218,0.01582407,0.0005888889,0.00542849,0.00041768313,0.000022183132,0.00011591464,0.007189943],"genre_scores_gemma":[0.99749815,0.00002810392,0.00038414582,0.0006628288,0.000084335756,0.0000140660795,0.0000011197409,0.000015810116,0.0013114207],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9974849,0.00014876107,0.0003650682,0.0009987189,0.0005060818,0.0004964335],"domain_scores_gemma":[0.9984352,0.00009576941,0.00019650235,0.0010794579,0.000031322998,0.00016174113],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00045195105,0.00018909319,0.0002198011,0.00018486683,0.0017161819,0.00047622237,0.0012598496,0.00007319572,0.000024020132],"category_scores_gemma":[0.0037690108,0.00017879727,0.00007959361,0.00027652443,0.001425081,0.000792001,0.00032918243,0.00044828883,0.000006152305],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052985248,0.00032588156,0.32637492,0.000023183695,9.3931953e-7,0.00019501585,0.00012359783,0.0007964621,0.64741564,0.01032477,0.0046569263,0.009709661],"study_design_scores_gemma":[0.00069845124,0.0003776126,0.6615308,0.0000420536,0.0000109973025,0.0000658254,0.000034977154,0.24496892,0.060274538,0.02418356,0.0072348774,0.00057741796],"about_ca_topic_score_codex":0.000029707579,"about_ca_topic_score_gemma":0.000027536347,"teacher_disagreement_score":0.5871411,"about_ca_system_score_codex":0.00008988582,"about_ca_system_score_gemma":0.00004508215,"threshold_uncertainty_score":0.9995834},"labels":[],"label_agreement":null},{"id":"W2591611442","doi":"10.1152/jn.00951.2016","title":"Systems-based analysis of dendritic nonlinearities reveals temporal feature extraction in mouse L5 cortical neurons","year":2017,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Institute of Neurological Disorders and Stroke; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Soma; Dendritic spike; Neuroscience; Biological system; Waveform; Nonlinear system; Stimulus (psychology); Neuron; Dendrite (mathematics); Cortical neurons; Physics; Inhibitory postsynaptic potential; Biology; Psychology; Mathematics; Excitatory postsynaptic potential; Voltage","score_opus":0.03823909413167899,"score_gpt":0.3104762449810316,"score_spread":0.2722371508493526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2591611442","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980711,0.000009487646,0.00013156705,0.0006049501,0.0010069633,0.000094358926,0.000037150858,0.0000079223,0.00003653804],"genre_scores_gemma":[0.99918187,0.00004890433,0.000069228336,0.0003284931,0.00013770608,0.0000018132914,0.0000028800614,0.000014824972,0.00021430933],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9981859,0.0004770753,0.000605171,0.00024908237,0.00026301423,0.00021976353],"domain_scores_gemma":[0.99784136,0.000579986,0.0009722831,0.00038203696,0.00014226625,0.00008206883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011882741,0.0001434022,0.00060350297,0.00051666715,0.00016671406,0.00007163624,0.00038360484,0.00010347051,0.000009478258],"category_scores_gemma":[0.0016064739,0.00011783556,0.00026056642,0.0002685375,0.00022254961,0.00027031515,0.000049817056,0.0006068223,0.0000020712894],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002869545,0.00017763622,0.00310549,0.000033717417,0.000024234158,0.00035091283,0.000008498969,0.016460186,0.97924834,0.00019742029,0.000030188829,0.00007643728],"study_design_scores_gemma":[0.0010787827,0.0016587545,0.7628199,0.00006619983,0.00034803207,0.0002466218,0.000033039265,0.21399142,0.01919686,0.0001360429,0.00020215353,0.00022217666],"about_ca_topic_score_codex":0.00003879023,"about_ca_topic_score_gemma":0.000014867348,"teacher_disagreement_score":0.9600515,"about_ca_system_score_codex":0.00003111462,"about_ca_system_score_gemma":0.00005676565,"threshold_uncertainty_score":0.48051947},"labels":[],"label_agreement":null},{"id":"W2591864436","doi":"10.1152/jn.00105.2017","title":"EEG oscillations: how are they modulated during different phases of repetitive movements?","year":2017,"lang":"en","type":"letter","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Krembil Foundation","funders":"","keywords":"Neurophysiology; Electroencephalography; Neuroscience; Psychology; Synchronization (alternating current); Movement (music); Electrophysiology; Motor cortex; Task (project management); Rhythm; Computer science; Physics","score_opus":0.03548290810408189,"score_gpt":0.26127200701261444,"score_spread":0.22578909890853255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2591864436","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.945035,0.0000111505215,0.000010269546,0.052247874,0.002273114,0.000178084,0.00011180076,0.000014364255,0.0001183314],"genre_scores_gemma":[0.96391827,0.0003666234,0.0000063496254,0.03173643,0.0014756178,0.0000032994585,0.000010591258,0.00004781619,0.0024350225],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99784434,0.00037365922,0.0005861381,0.00044496753,0.0004411047,0.00030981522],"domain_scores_gemma":[0.99558717,0.00038733863,0.0031801856,0.00052670133,0.00026431712,0.000054306925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003154262,0.00033323912,0.00079623976,0.00032968307,0.0002207303,0.00006875666,0.0006185622,0.00027369018,0.00003396525],"category_scores_gemma":[0.0010040522,0.0002417395,0.00037813158,0.000071932096,0.00019611492,0.00021661843,0.0001622845,0.0013664224,0.000003300782],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014056989,0.00007937878,0.000031549338,0.000083942374,0.00004035178,0.0014065937,0.00001884871,0.0003420382,0.99325854,0.00000873924,0.0044653383,0.00012412076],"study_design_scores_gemma":[0.0114521785,0.012706014,0.4256704,0.0039376533,0.00095061195,0.0055751023,0.000117334144,0.007008346,0.38407227,0.023318613,0.121451445,0.0037400555],"about_ca_topic_score_codex":0.0000048421116,"about_ca_topic_score_gemma":5.944075e-7,"teacher_disagreement_score":0.6091863,"about_ca_system_score_codex":0.000057258676,"about_ca_system_score_gemma":0.000036143243,"threshold_uncertainty_score":0.98578507},"labels":[],"label_agreement":null},{"id":"W2592916129","doi":"10.1162/jocn_a_01111","title":"The Contribution of Different Cortical Regions to the Control of Spatially Decoupled Eye–Hand Coordination","year":2017,"lang":"en","type":"review","venue":"Journal of Cognitive Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadians Living with HIV; York University","funders":"Vlaamse regering","keywords":"Premotor cortex; Neuroscience; Psychology; Macaque; Dorsum; Inferior parietal lobule; Eye–hand coordination; Supplementary eye field; Eye movement; Functional magnetic resonance imaging; Anatomy; Biology","score_opus":0.07079430048982949,"score_gpt":0.36247186533681697,"score_spread":0.2916775648469875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2592916129","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06086713,0.69267684,0.19808595,0.011436425,0.02268329,0.01264431,0.001074074,0.000046341218,0.0004856133],"genre_scores_gemma":[0.6165835,0.3830072,0.0000011705662,0.00019194184,0.000108577726,0.000015943471,0.0000010906019,0.000011813026,0.000078738354],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99625593,0.00090869056,0.0012114809,0.00033417591,0.0009809831,0.00030872942],"domain_scores_gemma":[0.9897337,0.005193101,0.0035527875,0.00033408482,0.0010435308,0.00014279786],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0012427347,0.0002751182,0.0010719474,0.00019362044,0.00089611084,0.0002271067,0.001106139,0.00009812237,0.0000028555141],"category_scores_gemma":[0.032106213,0.00013186062,0.00052429124,0.00039979638,0.0011064034,0.00021750614,0.0001359493,0.0006388013,0.0000024757903],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009293444,0.0007069827,0.00014390574,0.0006421197,0.00006965082,0.00009564612,0.00012684474,0.000066121975,0.09941817,0.01058014,0.00025416675,0.8869669],"study_design_scores_gemma":[0.0074058967,0.014564936,0.017889401,0.03789224,0.005463154,0.0017375652,0.00008347734,0.015556473,0.026321141,0.0025256483,0.86882645,0.0017336066],"about_ca_topic_score_codex":0.0000025188142,"about_ca_topic_score_gemma":0.00001838451,"teacher_disagreement_score":0.8852333,"about_ca_system_score_codex":0.000058489248,"about_ca_system_score_gemma":0.00037562137,"threshold_uncertainty_score":0.97604674},"labels":[],"label_agreement":null},{"id":"W2593105997","doi":"10.7717/peerj.3836","title":"CA1 pyramidal cells have diverse biophysical properties, affected by development, experience, and aging","year":2017,"lang":"en","type":"article","venue":"PeerJ","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Neuroscience; Hippocampal formation; Computer science; Homogeneous; Hippocampus; Pyramidal cell; Diversity (politics); Biology; Biological system; Artificial intelligence; Physics; Statistical physics","score_opus":0.04052201298752707,"score_gpt":0.2567494821858215,"score_spread":0.21622746919829444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593105997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99838036,0.0000058847622,0.000059795093,0.00029096528,0.0003607807,0.0001365823,0.0000093522085,0.000056179786,0.0007000806],"genre_scores_gemma":[0.99417585,0.0000097078,0.000058703907,0.00023088322,0.000046571204,0.00001386688,0.000002476194,0.000010998038,0.005450925],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990958,0.000023895418,0.000091398244,0.0003575375,0.00020669086,0.00022466276],"domain_scores_gemma":[0.99958503,0.00001929111,0.00007323174,0.0002195282,0.000019552537,0.00008337806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004665228,0.000119902834,0.00010810357,0.000027254224,0.000739372,0.00029578575,0.00023164268,0.000034741704,0.000014723993],"category_scores_gemma":[0.0001241567,0.000095786534,0.000021781683,0.000032560467,0.00024155441,0.000285907,0.00021833133,0.00010128035,0.000029861887],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009899433,0.000038671787,0.0009689635,0.000009224766,0.0000013776329,0.000012815985,0.0005354578,0.0000013415706,0.99369925,0.0000403163,0.0006826053,0.004000064],"study_design_scores_gemma":[0.00028631566,0.000032125496,0.012520721,0.000015903552,0.0000037716668,0.000006128988,0.000068221656,0.0042695804,0.9726759,0.000017161563,0.009914563,0.00018959056],"about_ca_topic_score_codex":0.00009858936,"about_ca_topic_score_gemma":0.000014170417,"teacher_disagreement_score":0.021023346,"about_ca_system_score_codex":0.000023770015,"about_ca_system_score_gemma":0.000017676142,"threshold_uncertainty_score":0.56867266},"labels":[],"label_agreement":null},{"id":"W2593552556","doi":"10.1371/journal.pone.0173684","title":"Iterative free-energy optimization for recurrent neural networks (INFERNO)","year":2017,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"NeuroDevNet","funders":"Agence Nationale de la Recherche; Centre National de la Recherche Scientifique; Equipex","keywords":"Computer science; Recurrent neural network; Artificial intelligence; Artificial neural network; Content-addressable memory; Gradient descent; Neuroscience; Biology","score_opus":0.07473026143926585,"score_gpt":0.2579853049081127,"score_spread":0.18325504346884686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593552556","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6811845,0.00009250066,0.29800895,0.009955083,0.0028590832,0.0016464295,0.00022696755,0.00036166058,0.0056648324],"genre_scores_gemma":[0.9963448,0.000078079785,0.0013094655,0.0006823553,0.00037093076,0.00008552665,0.000027752756,0.0000216034,0.0010794954],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911404,0.000041441013,0.00014089898,0.0003151026,0.00018048995,0.00020803518],"domain_scores_gemma":[0.9991444,0.00012384645,0.00016349395,0.00043472153,0.00007389132,0.000059647922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000058769037,0.00011248277,0.00013578146,0.00003494563,0.0005635282,0.0002658375,0.0003253062,0.00005044423,0.000037853726],"category_scores_gemma":[0.0007390162,0.00010182795,0.00005026984,0.00004440095,0.000059062615,0.00034510094,0.000116901494,0.00009342695,0.0000022540944],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020862895,0.006629866,0.0034023335,0.00030781055,0.00022078895,0.00005038302,0.00044422166,0.3709054,0.39643112,0.09866459,0.0077282097,0.113129],"study_design_scores_gemma":[0.0004078338,0.00027210554,0.00018914918,0.000035339224,0.000022079254,8.8380244e-7,0.0000012526216,0.980841,0.01726173,0.0007465253,0.00009938375,0.00012270891],"about_ca_topic_score_codex":0.000009322814,"about_ca_topic_score_gemma":0.000018618692,"teacher_disagreement_score":0.6099356,"about_ca_system_score_codex":0.000025140476,"about_ca_system_score_gemma":0.000007460089,"threshold_uncertainty_score":0.43342605},"labels":[],"label_agreement":null},{"id":"W2593998565","doi":"10.3758/s13423-017-1257-0","title":"Alpha, beta: The rhythm of the attentional blink","year":2017,"lang":"en","type":"article","venue":"Psychonomic Bulletin & Review","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Biotechnology and Biological Sciences Research Council; Deutsche Forschungsgemeinschaft","keywords":"Attentional blink; Psychology; Extant taxon; Rhythm; Cognitive psychology; Consciousness; BETA (programming language); Attentional control; Cognition; Neuroscience; Physics","score_opus":0.04933571046876002,"score_gpt":0.29929300483824406,"score_spread":0.24995729436948405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593998565","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15142904,0.030716935,0.00013408759,0.7510026,0.0112302825,0.003115424,0.00010219286,0.00007306162,0.05219638],"genre_scores_gemma":[0.8856189,0.07128156,0.00009329554,0.029336551,0.00059480494,0.000121181845,0.000003280049,0.000040263443,0.012910121],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99885464,0.0001485869,0.0003439759,0.0003119876,0.00017843298,0.00016235533],"domain_scores_gemma":[0.99815714,0.00014620941,0.00051931053,0.0011160056,0.000028960943,0.00003239806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050152466,0.00012357377,0.000216018,0.000011928117,0.0005441386,0.00006818228,0.0008260262,0.000030094003,0.000799024],"category_scores_gemma":[0.00032490704,0.0000644964,0.0002766773,0.000054874992,0.00027693785,0.000041571508,0.00016671956,0.00019079025,0.0005341423],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054766097,0.00025180576,0.0018043561,0.0015018452,0.000049468177,0.0000054028424,0.000026308377,0.000013328716,0.02471803,0.05369413,0.6794722,0.23840836],"study_design_scores_gemma":[0.00018423017,0.000017578664,0.015140867,0.0006857647,0.00003373108,0.000043484797,0.000001054001,0.000047434252,0.00043034463,0.00056499895,0.9827575,0.00009297894],"about_ca_topic_score_codex":0.000014544112,"about_ca_topic_score_gemma":0.0000030874778,"teacher_disagreement_score":0.73418987,"about_ca_system_score_codex":0.000014767932,"about_ca_system_score_gemma":0.000018971436,"threshold_uncertainty_score":0.87487525},"labels":[],"label_agreement":null},{"id":"W2594068047","doi":"10.1073/pnas.1619949114","title":"Correlated variability modifies working memory fidelity in primate prefrontal neuronal ensembles","year":2017,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":107,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Ottawa Hospital; McGill University; Western University","funders":"","keywords":"Working memory; Chromatin structure remodeling (RSC) complex; Neural coding; Neuroscience; Premovement neuronal activity; Coding (social sciences); Neuron; Computer science; Biology; Cognition; Mathematics","score_opus":0.07636127310622245,"score_gpt":0.314838033275847,"score_spread":0.23847676016962452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594068047","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98524785,0.0000062446265,0.0000012898441,0.0019441099,0.00009657964,0.00019309162,0.00001020367,0.000013225885,0.012487429],"genre_scores_gemma":[0.999472,0.000012636041,0.00016709411,0.00019500547,0.000035752433,0.0000065057748,5.2470547e-8,0.0000033703375,0.00010756375],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9981396,0.000022434246,0.0003552297,0.00038398925,0.0009192079,0.0001795433],"domain_scores_gemma":[0.99893117,0.0002931869,0.000633217,0.0000204322,0.00009503893,0.000026967715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017718764,0.00010004666,0.00015215615,0.00009856168,0.0005589265,0.00008812835,0.0011254052,0.00007503712,0.000007654169],"category_scores_gemma":[0.0039106337,0.00006925581,0.00006466721,0.00026899195,0.0011997493,0.00075697637,0.0003387123,0.00025544144,8.5777583e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040702882,0.000054681055,0.016847879,0.000030716903,0.0000015190274,1.6548805e-8,0.000078934405,0.00048329582,0.9438965,0.037759986,0.0000365209,0.00076924893],"study_design_scores_gemma":[0.00016904551,0.000025727095,0.51337874,0.00006870618,0.0000036944473,0.0000049523774,0.000021281596,0.031249072,0.36803457,0.086946495,0.000018956265,0.0000787529],"about_ca_topic_score_codex":0.000022944207,"about_ca_topic_score_gemma":4.0931266e-7,"teacher_disagreement_score":0.57586193,"about_ca_system_score_codex":0.000048162008,"about_ca_system_score_gemma":0.000033137658,"threshold_uncertainty_score":0.4681676},"labels":[],"label_agreement":null},{"id":"W2595278459","doi":"","title":"Amphetamine Exerts Dose-Dependent Changes in Prefrontal Cortex Attractor Dynamics during Working Memory","year":2015,"lang":"en","type":"article","venue":"Bournemouth University Research Online (Bournemouth University)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Monoamine neurotransmitter; Prefrontal cortex; Neuroscience; Working memory; Attractor; Population; Psychology; Cognition; Monoaminergic; Chemistry; Mathematics; Medicine; Serotonin; Receptor","score_opus":0.12193121697630191,"score_gpt":0.2938736534648386,"score_spread":0.17194243648853672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2595278459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9829736,0.00003151043,0.00009451154,0.0014058576,0.0005424509,0.0008251059,0.00030327972,0.00026638998,0.013557314],"genre_scores_gemma":[0.9344463,0.00026682985,0.00015639178,0.000067961635,0.00022805633,4.581683e-7,0.00009414282,0.000065989334,0.06467388],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9938058,0.0011207652,0.0003465581,0.0014268178,0.0016815495,0.0016184812],"domain_scores_gemma":[0.9971681,0.0003885326,0.00029060646,0.0007338464,0.00039916448,0.0010197276],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010092057,0.0005079966,0.0005917232,0.0028338789,0.00092511735,0.00019257993,0.0015834863,0.00037511275,0.00010537608],"category_scores_gemma":[0.0005741062,0.000595302,0.00019580271,0.0030803196,0.0005853666,0.0009647037,0.0013987146,0.0018843779,0.000083931154],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.041479476,0.01567739,0.13504593,0.0012169605,0.0005890027,0.114208624,0.028150903,0.012531792,0.5538552,0.030371042,0.0021986053,0.064675085],"study_design_scores_gemma":[0.072019465,0.004855161,0.4158085,0.0023324538,0.0005410868,0.0014461031,0.29067343,0.124016136,0.021581111,0.0011869569,0.05671772,0.008821859],"about_ca_topic_score_codex":0.0013808848,"about_ca_topic_score_gemma":0.020639503,"teacher_disagreement_score":0.53227407,"about_ca_system_score_codex":0.003654566,"about_ca_system_score_gemma":0.0006612224,"threshold_uncertainty_score":0.9996498},"labels":[],"label_agreement":null},{"id":"W2595458678","doi":"10.7554/elife.24482","title":"Stimulus background influences phase invariant coding by correlated neural activity","year":2017,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Stimulus (psychology); Perception; Invariant (physics); Neural coding; Neuroscience; Afferent; Electric fish; Physics; Psychology; Communication; Biology; Cognitive psychology; Quantum mechanics","score_opus":0.07081977395304237,"score_gpt":0.3342589267131196,"score_spread":0.26343915276007723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2595458678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957451,0.00001007881,0.00041043005,0.0008650109,0.0012727191,0.00016116883,0.00004275927,0.00008845872,0.0014042656],"genre_scores_gemma":[0.997862,0.000028928212,0.000012244836,0.001121831,0.000090778914,0.0000069445946,0.000003959331,0.000014218966,0.0008590857],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987706,0.00008598727,0.0001558588,0.00039766365,0.00030803191,0.00028188436],"domain_scores_gemma":[0.99902475,0.00018899747,0.00022619539,0.00040803722,0.000031161097,0.00012084909],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016843816,0.00015038512,0.0001543949,0.000036759833,0.0009336271,0.00044932397,0.00032649701,0.00006942005,0.00007219081],"category_scores_gemma":[0.00076267676,0.00012997256,0.0000506867,0.00007925409,0.00017676795,0.0007930786,0.0001461909,0.00025681884,0.00010161805],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001058449,0.000116535935,0.0007374334,0.0000051245647,0.000003501894,0.00005789447,0.000027918008,0.000076691875,0.9911275,0.00040934977,0.001997294,0.0053349393],"study_design_scores_gemma":[0.003238037,0.00054416346,0.022487532,0.000039830982,0.00002911512,0.00007962327,0.000023375243,0.49332067,0.47444957,0.000182299,0.005041181,0.00056460715],"about_ca_topic_score_codex":0.00015978349,"about_ca_topic_score_gemma":0.0000143045745,"teacher_disagreement_score":0.5166779,"about_ca_system_score_codex":0.000034498444,"about_ca_system_score_gemma":0.000026679074,"threshold_uncertainty_score":0.7180799},"labels":[],"label_agreement":null},{"id":"W2595941837","doi":"10.1016/j.tcs.2017.02.023","title":"A symbolic dynamics approach to Epileptic Chronnectomics: Employing strings to predict crisis onset","year":2017,"lang":"en","type":"article","venue":"Theoretical Computer Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"State Scholarships Foundation","keywords":"Dynamics (music); Symbolic dynamics; Computer science; Statistical physics; Econometrics; Mathematics; Algorithm; Artificial intelligence; Psychology; Pure mathematics; Physics","score_opus":0.02152651764763815,"score_gpt":0.2679997071560513,"score_spread":0.24647318950841315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2595941837","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.668714,6.312545e-7,0.32496542,0.0020236343,0.0006675126,0.0003941075,0.000018447985,0.0001311786,0.003085086],"genre_scores_gemma":[0.9852472,0.000001838147,0.011031266,0.003461356,0.00017937274,0.000026751532,0.000001304082,0.00002425112,0.0000266746],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99678516,0.00008652996,0.00028954187,0.0012610035,0.00074899604,0.0008287557],"domain_scores_gemma":[0.9976185,0.00022784725,0.00009917621,0.0013244142,0.00009558559,0.00063447864],"candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0009134563,0.00025501184,0.00027992658,0.00027349155,0.0016787525,0.0012888102,0.0027189169,0.0000605037,0.000017173637],"category_scores_gemma":[0.0011464758,0.000217429,0.00008208475,0.0006254287,0.0014826392,0.000486171,0.0016954845,0.00026968113,0.00016380867],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062762185,0.00014433882,0.00061665697,0.000019978585,0.000002831873,0.00001838474,0.00045825992,0.0017599417,0.01214975,0.9693168,0.0002224896,0.015227802],"study_design_scores_gemma":[0.00024934622,0.0004893349,0.008348759,0.00004637274,0.000010473478,0.000093023795,0.000020405107,0.9586119,0.008416344,0.023246517,0.000055953464,0.00041155767],"about_ca_topic_score_codex":0.000022166763,"about_ca_topic_score_gemma":0.0000038176827,"teacher_disagreement_score":0.95685196,"about_ca_system_score_codex":0.00021280485,"about_ca_system_score_gemma":0.0000864402,"threshold_uncertainty_score":0.99974793},"labels":[],"label_agreement":null},{"id":"W2597428259","doi":"10.1101/120584","title":"Pattern component modeling: A flexible approach for understanding the representational structure of brain activity patterns","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Component (thermodynamics); Toolbox; Artificial intelligence; Encoding (memory); Contrast (vision); Voxel; Bayesian probability; Machine learning; Pattern recognition (psychology)","score_opus":0.09003263949599973,"score_gpt":0.2809987177425666,"score_spread":0.19096607824656686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2597428259","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5711079,0.000012777401,0.4254273,0.000649661,0.0007005788,0.0009302853,0.0010862766,0.00008002822,0.000005211484],"genre_scores_gemma":[0.99863344,0.000019155183,0.00057477475,0.00026389913,0.0003091826,0.000109883484,0.0000019566185,0.00008106441,0.000006618677],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99733746,0.00020176948,0.00039648204,0.0010986238,0.0005563132,0.00040935646],"domain_scores_gemma":[0.9972736,0.00032246215,0.0007496659,0.0013710733,0.00017401724,0.00010916992],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040087418,0.00041444777,0.00044787308,0.00015414358,0.0005716436,0.00034117297,0.000898446,0.00029362252,0.000011211547],"category_scores_gemma":[0.00045817616,0.00034291123,0.00023376904,0.0001312394,0.0001626068,0.00018994183,0.00054778036,0.00066068134,9.72832e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000077073375,0.000102510014,0.0013541357,0.00044120857,0.000046635996,0.0000033924578,0.000018885172,0.015045938,0.9798862,0.0029487498,0.000072343144,0.000002928493],"study_design_scores_gemma":[0.00066548685,0.0000567125,0.005308457,0.0001697862,0.00007315868,6.6475636e-8,0.000010456305,0.65516895,0.33754748,0.00043127313,0.00002497333,0.0005432006],"about_ca_topic_score_codex":0.00009713971,"about_ca_topic_score_gemma":0.0000036245992,"teacher_disagreement_score":0.6423387,"about_ca_system_score_codex":0.00025062103,"about_ca_system_score_gemma":0.00021700446,"threshold_uncertainty_score":0.9999023},"labels":[],"label_agreement":null},{"id":"W2600513544","doi":"10.1016/j.neuron.2017.03.015","title":"Selective Entrainment of Theta Oscillations in the Dorsal Stream Causally Enhances Auditory Working Memory Performance","year":2017,"lang":"en","type":"article","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":255,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; International Laboratory for Brain, Music and Sound Research; Montreal Neurological Institute and Hospital","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; National Institutes of Health; Fondation Fyssen; International Development Research Centre; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada","keywords":"Entrainment (biomusicology); Neuroscience; Psychology; Dorsum; Working memory; Cognitive psychology; Communication; Rhythm; Biology; Physics; Cognition; Acoustics; Anatomy","score_opus":0.031174131247975734,"score_gpt":0.26256441872574887,"score_spread":0.23139028747777313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2600513544","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98290265,0.000007424698,0.000008967903,0.0005036279,0.0009522367,0.00022748123,0.0000040106684,0.00001571845,0.015377912],"genre_scores_gemma":[0.99930143,0.00007233796,0.0000049118344,0.00024357038,0.0001325291,0.000014710444,7.429146e-7,0.000008396457,0.00022133779],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99896103,0.00012600214,0.00016555855,0.0002641777,0.00029505533,0.00018814705],"domain_scores_gemma":[0.9991568,0.00023398755,0.00020765942,0.00036829404,0.000016252337,0.00001702103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020100409,0.00010053794,0.00010051387,0.000049364455,0.0003907954,0.00007245404,0.0003967054,0.00003173821,0.000010292259],"category_scores_gemma":[0.00021411543,0.00007103606,0.000038712475,0.00009429921,0.00013880628,0.00020304961,0.00006259141,0.0002006927,0.0000067208553],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053750686,0.00011575839,0.0067280224,0.000017654833,0.0000027304525,0.000009275497,0.00092813256,0.0008980544,0.97557276,0.0006041901,0.00014990142,0.014919792],"study_design_scores_gemma":[0.0004587135,0.00042062014,0.7441689,0.00006446411,0.000013210536,0.000012492148,0.00011412088,0.013618861,0.23878154,0.0004311199,0.001719836,0.00019611871],"about_ca_topic_score_codex":0.000027818722,"about_ca_topic_score_gemma":0.00007186081,"teacher_disagreement_score":0.7374409,"about_ca_system_score_codex":0.000029433975,"about_ca_system_score_gemma":0.000031529584,"threshold_uncertainty_score":0.3005722},"labels":[],"label_agreement":null},{"id":"W2601649068","doi":"10.1523/eneuro.0355-16.2017","title":"Nonstationary Stochastic Dynamics Underlie Spontaneous Transitions between Active and Inactive Behavioral States","year":2017,"lang":"en","type":"article","venue":"eNeuro","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Statistical physics; Variable (mathematics); Nonlinear system; Curse of dimensionality; Sequence (biology); Forcing (mathematics); Computer science; Biological system; Basis (linear algebra); Stochastic process; Mechanism (biology); Mathematics; Physics; Artificial intelligence; Statistics; Biology","score_opus":0.038038682853871866,"score_gpt":0.2957225882532422,"score_spread":0.25768390539937036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2601649068","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99242145,0.0000017050155,0.0043904777,0.0013697348,0.0002607191,0.00022886888,0.0005934046,0.00005760637,0.0006760646],"genre_scores_gemma":[0.9993353,0.000011263923,0.00005446593,0.00019749849,0.000049320715,0.00001373501,0.000056632245,0.000022222213,0.0002595476],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9990503,0.0000623116,0.00012711446,0.00037951343,0.00017501762,0.00020572185],"domain_scores_gemma":[0.99916583,0.0003448512,0.000115159506,0.0002481443,0.0000313363,0.00009466247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003249637,0.00014680298,0.00013838426,0.00007124571,0.0008282567,0.00014898354,0.0001681352,0.0000485548,0.000016488477],"category_scores_gemma":[0.00012704362,0.00014693043,0.000039364873,0.000050624956,0.0002530638,0.00037941465,0.00006231122,0.00021441598,0.000012196064],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002204329,0.0021420193,0.0071389307,0.0001439406,0.00013211397,0.00987303,0.007628718,0.01145977,0.42922112,0.076122366,0.00041283647,0.45352083],"study_design_scores_gemma":[0.0050137904,0.004659652,0.56888324,0.00016714145,0.00058830326,0.004220575,0.0025614311,0.2798476,0.035116233,0.095534176,0.0005672964,0.0028405895],"about_ca_topic_score_codex":0.00006387221,"about_ca_topic_score_gemma":0.00016050957,"teacher_disagreement_score":0.5617443,"about_ca_system_score_codex":0.000075526776,"about_ca_system_score_gemma":0.000031251042,"threshold_uncertainty_score":0.63703644},"labels":[],"label_agreement":null},{"id":"W2602208471","doi":"10.1214/18-aoas1162","title":"Exact spike train inference via $\\ell_{0}$ optimization","year":2018,"lang":"en","type":"preprint","venue":"The Annals of Applied Statistics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; National Science Foundation","keywords":"Python (programming language); Computer science; TRACE (psycholinguistics); Inference; Software; Optimization problem; Spike (software development); Convex optimization; Measure (data warehouse); Algorithm; Mathematical optimization; Regular polygon; Mathematics; Artificial intelligence; Programming language","score_opus":0.10499761598033654,"score_gpt":0.3403495868487135,"score_spread":0.235351970868377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2602208471","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016887238,0.000014742908,0.97027963,0.0005657828,0.0007851507,0.00083130866,0.0015810052,0.00008837552,0.008966781],"genre_scores_gemma":[0.9820464,0.00062928785,0.014630293,0.0018409587,0.00025762396,0.00004881907,0.00021575553,0.00005709242,0.00027372994],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980721,0.00010175467,0.000508605,0.00053119595,0.0004705434,0.00031583747],"domain_scores_gemma":[0.9977005,0.0007059727,0.00062917144,0.0006979559,0.00018952054,0.00007686457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043306116,0.0003054341,0.00036037402,0.00009801225,0.00017128223,0.00009523723,0.000659725,0.0001795906,0.00018791154],"category_scores_gemma":[0.00042496237,0.00023467322,0.00007342583,0.0001946258,0.00040214206,0.00003990231,0.00043456937,0.00047504393,0.000048146972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006820332,0.0003701025,0.000009640927,0.00062203786,0.000071498085,0.000016831016,0.0012377066,0.62960756,0.08964818,0.19842932,0.016290348,0.06301475],"study_design_scores_gemma":[0.00021139848,0.0002096027,0.00021184162,0.00006565473,0.000054403685,0.0000031443087,0.000022637269,0.6234893,0.051099073,0.32319808,0.00097490405,0.0004599519],"about_ca_topic_score_codex":0.000026033975,"about_ca_topic_score_gemma":0.0000070481665,"teacher_disagreement_score":0.9651592,"about_ca_system_score_codex":0.000015725798,"about_ca_system_score_gemma":0.000093807495,"threshold_uncertainty_score":0.9569696},"labels":[],"label_agreement":null},{"id":"W2602359249","doi":"10.1016/j.plrev.2017.03.001","title":"Topodynamics of metastable brains","year":2017,"lang":"en","type":"review","venue":"Physics of Life Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":76,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Embodied cognition; Computer science; Edge of chaos; Operationalization; Topology (electrical circuits); Cognitive science; Artificial intelligence; Space (punctuation); Psychology; Mathematics; Epistemology","score_opus":0.3539122159856454,"score_gpt":0.41701457458789665,"score_spread":0.06310235860225127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2602359249","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000002639445,0.9938551,0.0003754916,0.000017397651,0.0005291481,0.0011862009,0.00025289305,0.00001657851,0.0037645295],"genre_scores_gemma":[0.000013780773,0.99854517,0.0002353408,0.00007583086,0.00023087724,0.000058407484,0.00004333755,0.000057163626,0.00074006815],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.996956,0.00043127598,0.0014529788,0.0005466639,0.00033904333,0.00027401952],"domain_scores_gemma":[0.9944015,0.0004263664,0.0035989524,0.0013997959,0.00006648929,0.000106907086],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006072185,0.00046098934,0.0040514898,0.00009022109,0.00010426459,0.000040140287,0.0010379503,0.00013229986,0.000021880796],"category_scores_gemma":[0.0017390256,0.00033602203,0.0015167923,0.00033904443,0.00018591163,0.00024173176,0.00019076063,0.00034975228,0.000079180885],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016341916,0.000091202324,4.6437623e-7,0.032558125,0.000026634865,9.578158e-7,0.0000057789644,0.000001603828,0.00016047846,0.012039029,0.00034861834,0.9547655],"study_design_scores_gemma":[0.00006920722,0.000049966,1.9496308e-7,0.00782757,0.00043386448,0.000003935342,4.4569802e-7,0.000096563694,0.00005233731,0.0011150717,0.9900857,0.00026511692],"about_ca_topic_score_codex":0.000013604268,"about_ca_topic_score_gemma":0.000002379239,"teacher_disagreement_score":0.9897371,"about_ca_system_score_codex":0.000035735855,"about_ca_system_score_gemma":0.00025268862,"threshold_uncertainty_score":0.99990916},"labels":[],"label_agreement":null},{"id":"W2602629628","doi":"10.1007/s11571-017-9428-2","title":"The human brain from above: an increase in complexity from environmental stimuli to abstractions","year":2017,"lang":"en","type":"article","venue":"Cognitive Neurodynamics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg; University of Manitoba","funders":"","keywords":"Associative property; Computer science; Entropy (arrow of time); Sensory system; Information theory; Artificial intelligence; Pattern recognition (psychology); Cognitive psychology; Cognitive science; Psychology; Mathematics; Physics; Pure mathematics","score_opus":0.06692181566213411,"score_gpt":0.3259781708697635,"score_spread":0.2590563552076294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2602629628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933078,0.0000033938952,0.00022298559,0.0015125573,0.0006121478,0.0004783263,0.0025873815,0.000056159584,0.0012192172],"genre_scores_gemma":[0.9965108,0.000017980658,0.000035083358,0.0027243535,0.00016164372,0.00003357914,0.0002486013,0.000038803977,0.00022912539],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9979703,0.00026953197,0.00029487215,0.00080113736,0.00030257742,0.00036159978],"domain_scores_gemma":[0.9974317,0.0014176646,0.00021340144,0.00070013356,0.000020429718,0.00021665487],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00014599052,0.0002471686,0.00018948432,0.00006650858,0.0019196542,0.0005026953,0.0006628094,0.00007514222,0.00009421643],"category_scores_gemma":[0.0014174579,0.00022106884,0.00007173336,0.00006415902,0.0005214121,0.00049968495,0.00032517186,0.0004921355,0.00017795661],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002742713,0.0005378796,0.023795439,0.0000019001635,0.000009694067,0.00018794266,0.00021624072,0.0001537422,0.9557338,0.0017570669,0.00009515796,0.017236909],"study_design_scores_gemma":[0.00074823824,0.00014773774,0.96071935,0.000016694745,0.000015775784,0.0000042556735,0.00012947021,0.02704429,0.0021716473,0.0082924375,0.00044463747,0.0002654947],"about_ca_topic_score_codex":0.0021624109,"about_ca_topic_score_gemma":0.0066536437,"teacher_disagreement_score":0.9535621,"about_ca_system_score_codex":0.00009017356,"about_ca_system_score_gemma":0.000021392174,"threshold_uncertainty_score":0.9993797},"labels":[],"label_agreement":null},{"id":"W2603938368","doi":"10.1038/nrgastro.2017.16","title":"The powerful advantages of extracellular electrical recording","year":2017,"lang":"en","type":"review","venue":"Nature Reviews Gastroenterology & Hepatology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Extracellular; MEDLINE; Intensive care medicine; Cell biology; Biochemistry; Biology","score_opus":0.060272696265547376,"score_gpt":0.36991761362383346,"score_spread":0.3096449173582861,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2603938368","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00011441792,0.99400145,0.00008643816,0.00055738806,0.0033557506,0.0015029557,0.000037135596,0.000042156622,0.00030233143],"genre_scores_gemma":[0.00027530786,0.9980315,0.00007373098,0.00050434866,0.00023811086,0.000127999,0.00003117768,0.0000700767,0.0006477388],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9926386,0.003070595,0.001812441,0.0011976988,0.0002637891,0.0010168809],"domain_scores_gemma":[0.99366945,0.0014420052,0.0031147287,0.0015680924,0.0000725358,0.00013320876],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0013309625,0.0007677884,0.0041070897,0.00028241027,0.00048217448,0.00005781824,0.0020018497,0.0014072171,0.000038266673],"category_scores_gemma":[0.0034490882,0.0004524947,0.0014731075,0.0002560862,0.0006828124,0.00011341787,0.00037622804,0.0036012202,0.00012051683],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007608492,0.00006237294,0.0002739663,0.0022020289,0.00005516647,0.0001268309,0.0000022342076,3.899979e-8,0.0001474306,0.0022857462,0.0034480258,0.9913201],"study_design_scores_gemma":[0.00016796016,0.0004700812,0.000005354647,0.0014540397,0.00044476698,0.0019654538,3.6385856e-7,0.000024191499,0.000013288735,0.00015245352,0.99510574,0.00019632692],"about_ca_topic_score_codex":0.000004484954,"about_ca_topic_score_gemma":0.000041927564,"teacher_disagreement_score":0.9916577,"about_ca_system_score_codex":0.000113612696,"about_ca_system_score_gemma":0.00015440339,"threshold_uncertainty_score":0.9998892},"labels":[],"label_agreement":null},{"id":"W2604322312","doi":"10.1016/j.concog.2017.03.006","title":"“Paradox of slow frequencies” – Are slow frequencies in upper cortical layers a neural predisposition of the level/state of consciousness (NPC)?","year":2017,"lang":"en","type":"review","venue":"Consciousness and Cognition","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Royal Ottawa Mental Health Centre","funders":"Canadian Institutes of Health Research; National Natural Science Foundation of China; Michael Smith Health Research BC","keywords":"Consciousness; Psychology; Neuroscience; Neural correlates of consciousness; Cognition","score_opus":0.08039496163846269,"score_gpt":0.3058454883585905,"score_spread":0.2254505267201278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604322312","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6328902,0.35566404,0.00018683706,0.00024214775,0.0021885894,0.0035660777,0.004478362,0.00006519339,0.000718543],"genre_scores_gemma":[0.69192827,0.30773282,0.000010631339,0.000051901698,0.000029582578,0.00008688715,0.000041522828,0.000030391664,0.00008800596],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9968078,0.0005385094,0.0011386325,0.0006424435,0.00051432796,0.00035825244],"domain_scores_gemma":[0.996586,0.00068945455,0.0017941537,0.00055759546,0.00028761878,0.000085165164],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003811153,0.0004500963,0.0015700001,0.00029554858,0.00026390978,0.00006957577,0.0005012149,0.0002781729,0.000013409395],"category_scores_gemma":[0.0008819094,0.00032520745,0.00042263608,0.00042959503,0.0016261969,0.00029551066,0.00017455753,0.0005154867,0.0000022799622],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031931506,0.0006887993,0.0024588145,0.029158723,0.00014997185,0.00011958449,0.0007176971,0.000046534817,0.044303928,0.0033069558,0.00011874701,0.91861093],"study_design_scores_gemma":[0.028434882,0.0066932826,0.210095,0.41155577,0.01859496,0.005829208,0.004238977,0.028865695,0.11599536,0.10486259,0.048123483,0.016710792],"about_ca_topic_score_codex":0.000121547106,"about_ca_topic_score_gemma":0.0002411794,"teacher_disagreement_score":0.9019001,"about_ca_system_score_codex":0.000059994225,"about_ca_system_score_gemma":0.00029157588,"threshold_uncertainty_score":0.99992},"labels":[],"label_agreement":null},{"id":"W2605176733","doi":"10.1609/aaai.v31i1.11235","title":"Leveraging Saccades to Learn Smooth Pursuit: A Self-Organizing Motion Tracking Model Using Restricted Boltzmann Machines","year":2017,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Artificial intelligence; Smooth pursuit; Computer science; Gaze; Reinforcement learning; Saccade; Motion (physics); Computer vision; Generative model; Biological motion; Leverage (statistics); Boltzmann machine; Traverse; Deep learning; Eye movement; Generative grammar","score_opus":0.1737508536580591,"score_gpt":0.3313530905112159,"score_spread":0.15760223685315683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2605176733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9861711,0.000003320028,0.007061303,0.003011729,0.0005025753,0.0004934692,0.000007309267,0.00013567969,0.002613495],"genre_scores_gemma":[0.99815387,0.00002023758,0.0010790848,0.00036506905,0.00012127365,0.0000100715315,3.0174567e-7,0.00003734849,0.00021275374],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99770933,0.000025218027,0.0005017603,0.000704127,0.0006103811,0.00044915194],"domain_scores_gemma":[0.9984215,0.00008055767,0.00062022463,0.00036178034,0.000398984,0.00011693534],"candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00037386958,0.0002888963,0.0002775808,0.00020352773,0.0013600491,0.0010453966,0.001559822,0.00010431381,0.000021784876],"category_scores_gemma":[0.0025567745,0.00023380642,0.00011293707,0.00041024992,0.00017942803,0.0007773551,0.000455112,0.00044211137,0.000027125543],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000076808385,0.00008626514,0.00037834543,0.000033027456,0.0000043678174,9.19576e-7,0.0009206947,0.004224335,0.91516244,0.035892785,0.000015257086,0.043204773],"study_design_scores_gemma":[0.00002265874,0.000057991092,0.00068694167,0.0001532997,0.000015454285,0.000005150084,0.00012670452,0.45413318,0.5178455,0.026768595,0.000009583374,0.00017495369],"about_ca_topic_score_codex":0.00012782912,"about_ca_topic_score_gemma":0.000012994679,"teacher_disagreement_score":0.44990885,"about_ca_system_score_codex":0.00011013379,"about_ca_system_score_gemma":0.000068966285,"threshold_uncertainty_score":0.9999916},"labels":[],"label_agreement":null},{"id":"W2606265984","doi":"10.1523/jneurosci.2674-16.2017","title":"Posterior Inferotemporal Cortex Cells Use Multiple Input Pathways for Shape Encoding","year":2017,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Eye Institute; National Institutes of Health","keywords":"Macaque; Neuroscience; Visual system; Population; Visual cortex; Decoding methods; Encoding (memory); Computer science; Pattern recognition (psychology); Biology; Artificial intelligence; Medicine","score_opus":0.11390612883626275,"score_gpt":0.29756504494398905,"score_spread":0.1836589161077263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606265984","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928882,0.000002915829,0.0008936849,0.00053452613,0.0052870577,0.0002658232,0.00004141811,0.000019179959,0.00006716633],"genre_scores_gemma":[0.9972929,0.000034876364,0.00042239059,0.0017652605,0.0002341196,0.000003684104,1.779695e-7,0.000019441311,0.00022717282],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981871,0.000066222674,0.0004976195,0.00038538978,0.00049590564,0.00036774707],"domain_scores_gemma":[0.99764925,0.00044003298,0.0011381934,0.00041215375,0.00015954126,0.00020083186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041624162,0.00017529745,0.00025513908,0.00015260017,0.00096092816,0.000995972,0.001053215,0.000055235265,0.0000051303755],"category_scores_gemma":[0.0050360775,0.0001406107,0.00018583852,0.0001220366,0.0002827583,0.0022544365,0.00021209518,0.00027139753,0.0000047445096],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009554835,0.00005979281,0.0029886828,0.00001024842,5.0469043e-7,0.0001056209,0.00003754004,0.000073933996,0.99426466,0.00011477214,0.00013517379,0.002113546],"study_design_scores_gemma":[0.0018706336,0.0021871468,0.18003486,0.00011920381,0.000022393158,0.0006929352,0.000023445817,0.1491524,0.6552932,0.0005720954,0.009560423,0.0004712268],"about_ca_topic_score_codex":0.0000068798395,"about_ca_topic_score_gemma":0.0000050137205,"teacher_disagreement_score":0.3389714,"about_ca_system_score_codex":0.000038236252,"about_ca_system_score_gemma":0.000106349406,"threshold_uncertainty_score":0.9604181},"labels":[],"label_agreement":null},{"id":"W2607113265","doi":"10.1038/srep46606","title":"Structure Shapes Dynamics and Directionality in Diverse Brain Networks: Mathematical Principles and Empirical Confirmation in Three Species","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute of General Medical Sciences; National Institute for Materials Science; National Research Council of Science and Technology; National Institutes of Health; Korea Institute of Science and Technology","keywords":"Directionality; Computer science; Brain function; Neuroscience; Artificial neural network; Artificial intelligence; Cognition; Complex network; Machine learning; Cognitive science; Psychology; Biology","score_opus":0.06112020321256989,"score_gpt":0.2975357132552245,"score_spread":0.2364155100426546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2607113265","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962963,0.00001194077,0.00041042018,0.000980183,0.0012051606,0.00023973078,0.00000789039,0.000020444599,0.000827958],"genre_scores_gemma":[0.9991129,0.0000035542644,0.00008963949,0.000059966307,0.00003201623,0.0000046751147,0.0000084527655,0.0000054617894,0.0006833068],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985455,0.000055696986,0.00033388904,0.00059222576,0.00028332803,0.00018936019],"domain_scores_gemma":[0.9991941,0.00015994023,0.00023577927,0.00031998716,0.00002721613,0.00006296323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007537863,0.000110547786,0.00016025407,0.0001122013,0.00047041825,0.00067777326,0.00009856353,0.00007148664,0.00003970846],"category_scores_gemma":[0.0013843984,0.00009224286,0.00002248382,0.00013846142,0.00057629467,0.0004061776,0.00019614237,0.0001569909,7.9827134e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034845998,0.00010551165,0.9312995,0.00007797018,0.0000032882838,0.00043027088,0.00042846386,0.0014776451,0.028376758,0.03237624,0.0002892782,0.0051002284],"study_design_scores_gemma":[0.000117104704,0.000009880096,0.65141207,0.000032210286,0.0000024163894,0.00016629924,0.000032573764,0.29131675,0.0005001299,0.055983607,0.00032579468,0.00010119907],"about_ca_topic_score_codex":0.00003054338,"about_ca_topic_score_gemma":0.003322332,"teacher_disagreement_score":0.2898391,"about_ca_system_score_codex":0.000062192,"about_ca_system_score_gemma":0.000025122505,"threshold_uncertainty_score":0.65357834},"labels":[],"label_agreement":null},{"id":"W2607332758","doi":"10.1101/118174","title":"Eyes closed or Eyes open? Exploring the alpha desynchronization hypothesis in resting state functional connectivity networks with intracranial EEG","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Toronto Western Hospital; Hospital for Sick Children","funders":"","keywords":"Resting state fMRI; Eyes open; Functional connectivity; Alpha (finance); Electrophysiology; Electroencephalography; Neuroscience; Computer science; Psychology; Mathematics; Statistics","score_opus":0.06482395513718094,"score_gpt":0.2465593715798887,"score_spread":0.18173541644270774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2607332758","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98650223,0.000048860078,0.009032428,0.0004416355,0.002151461,0.0014892846,0.00008055119,0.00023803423,0.000015487116],"genre_scores_gemma":[0.9971181,0.00027640956,0.0010840303,0.00028170744,0.0004979369,0.0005788022,4.0625073e-7,0.0001460862,0.000016535374],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99613935,0.0005400827,0.0005683651,0.0015012306,0.00054771977,0.0007032816],"domain_scores_gemma":[0.99629873,0.0011529842,0.00081242836,0.0013029516,0.00027295164,0.00015992775],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0012067957,0.0006177026,0.0005799814,0.00022772243,0.0010851625,0.0015755389,0.0012292739,0.00023951214,0.000035458397],"category_scores_gemma":[0.002764798,0.00045408402,0.00008550145,0.00062212924,0.00030129813,0.0010071895,0.0009822035,0.0011999048,0.000012061037],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003363354,0.00073413405,0.04967432,0.0004906487,0.00018753904,0.0009865083,0.00008328848,0.115755536,0.8257247,0.0017596047,0.00017097898,0.0010693743],"study_design_scores_gemma":[0.00197402,0.0002809475,0.8024748,0.0011248521,0.00011033185,5.504135e-7,0.000009128574,0.115524806,0.07662993,0.00006749448,0.000385684,0.0014174393],"about_ca_topic_score_codex":0.0002645615,"about_ca_topic_score_gemma":0.00029162134,"teacher_disagreement_score":0.7528005,"about_ca_system_score_codex":0.00040084374,"about_ca_system_score_gemma":0.0006600468,"threshold_uncertainty_score":0.9997911},"labels":[],"label_agreement":null},{"id":"W2609102962","doi":"10.1523/jneurosci.3938-16.2017","title":"Decorrelated Input Dissociates Narrow Band γ Power and BOLD in Human Visual Cortex","year":2017,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Philips (Canada); University of Toronto; CARE Canada; University Health Network","funders":"","keywords":"Visual cortex; Neuroscience; Cortex (anatomy); Psychology; Visual system; Communication","score_opus":0.0228753423489993,"score_gpt":0.3055750794685278,"score_spread":0.2826997371195285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2609102962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99727124,0.000019185532,0.000011437498,0.00077786105,0.0013109453,0.00007300879,0.0000023805098,0.000008633956,0.0005253131],"genre_scores_gemma":[0.9987952,0.000050794926,0.00000590459,0.00072350056,0.000040206618,6.1743805e-7,6.5606535e-8,0.000010171904,0.00037351975],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985884,0.00008052799,0.00037031074,0.00029761388,0.00039555467,0.00026762194],"domain_scores_gemma":[0.9988725,0.00011920538,0.00063898455,0.00018095606,0.00004968093,0.00013866709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038562188,0.00012698742,0.0002068189,0.00017014363,0.00063219893,0.00041647456,0.00050247315,0.000053841395,0.0000084242565],"category_scores_gemma":[0.0017983735,0.0001017208,0.00006035403,0.00016946632,0.00036575302,0.0009543571,0.000106947,0.0003757222,0.0000017033509],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024704445,0.000084540756,0.029202769,0.00000271168,3.457635e-7,0.00022506279,0.00007049091,0.000021264283,0.96984816,0.00017676996,0.00007290246,0.00027029033],"study_design_scores_gemma":[0.0006663776,0.0007376408,0.9523898,0.00004613871,0.000005763117,0.0004035547,0.000016644986,0.003013627,0.041358948,0.0008412257,0.00036626775,0.00015405769],"about_ca_topic_score_codex":0.000010709528,"about_ca_topic_score_gemma":0.000012757485,"teacher_disagreement_score":0.9284892,"about_ca_system_score_codex":0.000031543186,"about_ca_system_score_gemma":0.000038444814,"threshold_uncertainty_score":0.4862427},"labels":[],"label_agreement":null},{"id":"W2609213948","doi":"10.3758/s13423-017-1280-1","title":"Distributed representations of action sequences in anterior cingulate cortex: A recurrent neural network approach","year":2017,"lang":"en","type":"article","venue":"Psychonomic Bulletin & Review","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Anterior cingulate cortex; Neurophysiology; Neuroscience; Psychology; Artificial neural network; Neuroimaging; Computational model; Cortex (anatomy); Action (physics); Function (biology); Sequence (biology); Artificial intelligence; Computer science; Cognition","score_opus":0.0704533811467741,"score_gpt":0.34608477375961544,"score_spread":0.2756313926128413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2609213948","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9596944,0.011715325,0.0007279413,0.01424109,0.0059465766,0.002718427,0.00012405578,0.00010421939,0.004727963],"genre_scores_gemma":[0.96096355,0.037771344,0.00023944951,0.00058570155,0.00012871152,0.00009047621,0.000024410241,0.000015663172,0.00018069943],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99828696,0.00020293631,0.0006218589,0.00051510363,0.00012773728,0.0002454165],"domain_scores_gemma":[0.9984337,0.00008766574,0.0007583988,0.00063649553,0.000027129317,0.000056591263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041876113,0.000159402,0.00041388135,0.000043028413,0.00022292392,0.000077744764,0.00037687735,0.000042024156,0.00011648785],"category_scores_gemma":[0.0003709739,0.00014078415,0.00014671526,0.00014376796,0.00013845277,0.000107210464,0.00007848023,0.00019607088,0.0000348166],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008344199,0.0015129171,0.033482414,0.00970749,0.00008283605,0.00006994725,0.00022525604,0.004725171,0.13735834,0.003955467,0.091303766,0.716742],"study_design_scores_gemma":[0.00423945,0.0007305032,0.55914086,0.020332385,0.00031497856,0.00044858482,0.00008712071,0.06683661,0.0017519479,0.0023793976,0.34162298,0.0021151728],"about_ca_topic_score_codex":0.000097096505,"about_ca_topic_score_gemma":0.000017477167,"teacher_disagreement_score":0.7146268,"about_ca_system_score_codex":0.000042604894,"about_ca_system_score_gemma":0.000016820657,"threshold_uncertainty_score":0.5741011},"labels":[],"label_agreement":null},{"id":"W2610363304","doi":"10.3791/52642","title":"A Large Lateral Craniotomy Procedure for Mesoscale Wide-field Optical Imaging of Brain Activity","year":2017,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Health Solutions","keywords":"Craniotomy; Optogenetics; Neuroscience; Medicine; Biomedical engineering; Anatomy; Biology; Surgery","score_opus":0.03624036021217917,"score_gpt":0.4251110780024753,"score_spread":0.3888707177902961,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2610363304","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902964,0.000020052272,0.0061112368,0.0022638512,0.0006677176,0.0002799178,0.000009702333,0.000010327415,0.00034079346],"genre_scores_gemma":[0.99803704,0.000008390771,0.00054148294,0.0009870605,0.00012632238,0.000010181545,4.074984e-7,0.000020068834,0.00026906675],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987054,0.000065033135,0.0003852957,0.00020758857,0.00036305495,0.00027361955],"domain_scores_gemma":[0.9985052,0.00031510997,0.0007322427,0.00022395395,0.00010976584,0.00011372956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037347706,0.00014453422,0.00033281752,0.00008934234,0.00028351892,0.00013874762,0.0003695456,0.00006043103,0.00003750797],"category_scores_gemma":[0.0018896372,0.00011613518,0.0002177633,0.00004477336,0.00006540366,0.0006325109,0.000104391416,0.00017266478,0.0000016391273],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009753136,0.00039436127,0.002838136,0.000035503588,0.000015331074,0.000023134306,0.00026528255,0.000001079024,0.99266225,0.0007853679,0.001404639,0.0005996062],"study_design_scores_gemma":[0.0033889648,0.00048473696,0.0037830852,0.00009403318,0.000017280705,0.00005658287,0.00004880556,0.0031869446,0.98695445,0.0007014123,0.0011551086,0.00012859967],"about_ca_topic_score_codex":0.0000049778437,"about_ca_topic_score_gemma":9.2940775e-7,"teacher_disagreement_score":0.0077406177,"about_ca_system_score_codex":0.00003770847,"about_ca_system_score_gemma":0.000055820456,"threshold_uncertainty_score":0.47358552},"labels":[],"label_agreement":null},{"id":"W2610491086","doi":"10.1101/134791","title":"Transcriptomic correlates of neuron electrophysiological diversity","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"","keywords":"Electrophysiology; Biology; Neuroscience; Transcriptome; Gene expression; Diversity (politics); Neuron; Phenotype; Gene; Genetics","score_opus":0.02588884222996202,"score_gpt":0.21846375156154207,"score_spread":0.19257490933158006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2610491086","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99655735,0.00009393115,0.0003070829,0.0001230457,0.0020668553,0.00043359498,0.00018216037,0.00022035821,0.000015613865],"genre_scores_gemma":[0.99906534,0.00041110945,0.000105083476,0.0001836304,0.00015482497,0.000019818834,1.490701e-7,0.00005024142,0.000009784396],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975371,0.00019215659,0.00035995076,0.0010768293,0.00037702205,0.00045695368],"domain_scores_gemma":[0.9978889,0.00011258778,0.0005727883,0.0011304944,0.00014277344,0.00015246138],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020098835,0.0004265506,0.00055772177,0.00014870573,0.00051900494,0.00012113396,0.0011044265,0.0004295481,0.000031400014],"category_scores_gemma":[0.00044763417,0.00040809726,0.00026512306,0.00016041864,0.00031465868,0.00016923658,0.0010735962,0.0009504624,0.00003492912],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009812283,0.00011689722,0.0029337,0.000116324525,0.000016309401,0.000045174573,0.000002925844,0.00008415188,0.9951771,0.0013453185,0.00006235539,0.0000016311119],"study_design_scores_gemma":[0.00041132668,0.00028980596,0.19447465,0.00011909551,0.000091481415,2.561317e-8,2.520693e-7,0.0030353975,0.800737,0.00007056867,0.00021248985,0.00055788155],"about_ca_topic_score_codex":0.000043338354,"about_ca_topic_score_gemma":9.07942e-7,"teacher_disagreement_score":0.19444007,"about_ca_system_score_codex":0.00010191927,"about_ca_system_score_gemma":0.00014266899,"threshold_uncertainty_score":0.9998371},"labels":[],"label_agreement":null},{"id":"W2610500415","doi":"10.1103/physreve.95.052304","title":"Noise focusing in neuronal tissues: Symmetry breaking and localization in excitable networks with quenched disorder","year":2017,"lang":"en","type":"article","venue":"Physical review. E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Ministerio de Economía y Competitividad; Generalitat de Catalunya","keywords":"Physics; Symmetry breaking; Isotropy; Spontaneous symmetry breaking; Statistical physics; Noise (video); Salient; Quantum mechanics; Computer science","score_opus":0.019681168159963455,"score_gpt":0.3081493728006707,"score_spread":0.2884682046407072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2610500415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99454784,0.00081415987,0.002843249,0.00073821563,0.000078272365,0.0003477778,0.0000011756933,0.000017502545,0.000611801],"genre_scores_gemma":[0.9968194,0.0023121566,0.000023959832,0.00072259293,0.000069691734,0.000017018954,0.0000020767777,0.000014765903,0.000018339128],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990525,0.00008537471,0.00015934206,0.000344622,0.00015055857,0.00020754858],"domain_scores_gemma":[0.99947566,0.00011530961,0.00012328244,0.00022826644,0.000014223186,0.00004324048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012379464,0.000121612524,0.00023939577,0.000037815676,0.00014363886,0.00009929315,0.00011962702,0.000020993664,0.0000034467514],"category_scores_gemma":[0.00035178015,0.000094513154,0.000024629153,0.0002092517,0.00008432532,0.00037494098,0.000078283294,0.00017571684,0.0000032660696],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002726415,0.0013214784,0.3095307,0.0028134065,0.000011244198,0.0002461862,0.00033398808,0.02526745,0.08573555,0.05006163,0.00021109913,0.5241946],"study_design_scores_gemma":[0.0009576391,0.00022335506,0.11049699,0.003374444,0.000027881222,0.00001843462,0.0000076207207,0.8752604,0.0012108622,0.0057983254,0.002165362,0.00045867913],"about_ca_topic_score_codex":0.00017052951,"about_ca_topic_score_gemma":0.0001506018,"teacher_disagreement_score":0.84999293,"about_ca_system_score_codex":0.00002357223,"about_ca_system_score_gemma":0.000010512217,"threshold_uncertainty_score":0.38541347},"labels":[],"label_agreement":null},{"id":"W2610553094","doi":"10.1016/j.neuron.2017.04.031","title":"What Do Sensory Organs Tell the Brain?","year":2017,"lang":"en","type":"article","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Neuroscience; Sensory system; Psychology","score_opus":0.0392040093711491,"score_gpt":0.27401111154752794,"score_spread":0.23480710217637885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2610553094","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9666601,0.000019619862,0.000012375776,0.023191532,0.0034716646,0.00017643049,0.000004164483,0.00006805583,0.0063961004],"genre_scores_gemma":[0.98017484,0.00025815377,0.0000024337091,0.008940629,0.00021593415,0.000003915813,4.2738324e-7,0.000020613554,0.01038304],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99903494,0.00009556933,0.00009831815,0.0003478395,0.00021103329,0.00021230103],"domain_scores_gemma":[0.998722,0.00028520144,0.000103559956,0.00082519016,0.000015889776,0.00004814529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010509747,0.0001086995,0.000077020966,0.000022402543,0.0008457722,0.0008863905,0.0005172824,0.0000381702,0.00007272045],"category_scores_gemma":[0.0007353494,0.00007101915,0.0000529963,0.00004679881,0.00016245621,0.00057276816,0.00014868985,0.00021684014,0.00029465195],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018685436,0.000027833375,0.000382177,0.000005277829,9.3972614e-7,0.000052763342,0.00010339161,0.00002189238,0.9714291,0.0021917464,0.0039897864,0.021776408],"study_design_scores_gemma":[0.00090452936,0.00044734246,0.07560163,0.00005475951,0.00002414039,0.00025346206,0.00017510491,0.006722415,0.42948636,0.0041867406,0.48157886,0.0005646437],"about_ca_topic_score_codex":0.000009352642,"about_ca_topic_score_gemma":0.000011326662,"teacher_disagreement_score":0.5419427,"about_ca_system_score_codex":0.0000106382695,"about_ca_system_score_gemma":0.0000115985285,"threshold_uncertainty_score":0.85474837},"labels":[],"label_agreement":null},{"id":"W2610638560","doi":"10.1007/s13534-017-0033-4","title":"Unified principles of thalamo-cortical processing: the neural switch","year":2017,"lang":"en","type":"article","venue":"Biomedical Engineering Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Children's Hospital; Child and Family Research Institute; Simon Fraser University; University of British Columbia; University of British Columbia Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Leading Edge Endowment Fund","keywords":"Neuroscience; Neurophysiology; Neocortex; Psychology; Human brain; Thalamus; Sensory system; Cognition; Information processing; Cognitive science; Computer science","score_opus":0.03268908905070847,"score_gpt":0.24590132924819091,"score_spread":0.21321224019748244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2610638560","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97935414,0.000007973482,0.0041920072,0.01536283,0.0007467829,0.00011721092,0.0000039399943,0.00007816975,0.00013691594],"genre_scores_gemma":[0.9987982,0.000003351145,0.00011836852,0.0008164163,0.00017781573,0.000008737929,0.0000013695004,0.000015416425,0.000060323793],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892426,0.000022112568,0.00020934992,0.00023142912,0.00035850995,0.00025432635],"domain_scores_gemma":[0.99925584,0.00015683382,0.00010825885,0.00037386504,0.000012190285,0.000093040726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017351548,0.000118883385,0.0001293418,0.000049247592,0.00024956546,0.00009402127,0.00054856675,0.000051505023,0.000009716329],"category_scores_gemma":[0.0011195133,0.000075457014,0.00006203699,0.0000987849,0.00034828045,0.00011662266,0.00012777514,0.00025727443,0.0000048553534],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010613057,0.000026658461,0.00018929492,0.000041185212,0.0000029380167,0.000024397013,0.000035106463,0.00048007342,0.99448025,0.001830995,0.00010289076,0.0027756032],"study_design_scores_gemma":[0.0006412845,0.00011808625,0.08299356,0.00009578105,0.000026294972,0.00007250078,0.000011996642,0.8077267,0.0914887,0.000035778874,0.016454583,0.00033476594],"about_ca_topic_score_codex":0.0000087832095,"about_ca_topic_score_gemma":3.8600214e-7,"teacher_disagreement_score":0.90299153,"about_ca_system_score_codex":0.00001596325,"about_ca_system_score_gemma":0.000016569666,"threshold_uncertainty_score":0.30770478},"labels":[],"label_agreement":null},{"id":"W2610916853","doi":"10.1073/pnas.1617874114","title":"Visual working memory buffers information retrieved from visual long-term memory","year":2017,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":104,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Eye Institute; National Institute of Mental Health","keywords":"Computer science; Working memory; Term (time); Visual short-term memory; Long-term memory; Process (computing); Iconic memory; Sensory memory; Representation (politics); Perception; Visual memory; Electroencephalography; Cognitive psychology; Artificial intelligence; Psychology; Cognition; Neuroscience","score_opus":0.060669679742129896,"score_gpt":0.326384854275304,"score_spread":0.2657151745331741,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2610916853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99081576,0.000011002916,0.000004049665,0.0018264183,0.00018675125,0.00020467374,0.000011716766,0.000022083708,0.0069175395],"genre_scores_gemma":[0.9988678,0.000022696619,0.00009005602,0.000713894,0.00015425711,0.000005593161,4.1041667e-7,0.0000044217136,0.00014084931],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976113,0.000011085758,0.0003912679,0.00028575995,0.0015070625,0.00019351722],"domain_scores_gemma":[0.99846536,0.00021524998,0.0010919527,0.000018080473,0.00016219787,0.000047186222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009044871,0.0001252859,0.00016081483,0.000108076834,0.0009180519,0.00024484,0.0012772765,0.00010378387,0.00002029089],"category_scores_gemma":[0.0025580805,0.000088709094,0.00009140726,0.00036541757,0.0010519803,0.0024790906,0.0003355803,0.0002385444,0.0000061579226],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060600363,0.000037370828,0.019153014,0.000029325236,0.000005782656,2.1980448e-8,0.00016074668,0.000035331694,0.9700742,0.0037498784,0.000144488,0.006549234],"study_design_scores_gemma":[0.00023460921,0.000050210114,0.35277212,0.000093802344,0.000008454361,0.0000038551107,0.00006452909,0.0056685614,0.63504684,0.0059330547,0.000021937298,0.000102001635],"about_ca_topic_score_codex":0.00001577209,"about_ca_topic_score_gemma":1.8999877e-7,"teacher_disagreement_score":0.33502734,"about_ca_system_score_codex":0.000049149883,"about_ca_system_score_gemma":0.000035559457,"threshold_uncertainty_score":0.70610064},"labels":[],"label_agreement":null},{"id":"W2611288819","doi":"10.1101/133983","title":"Initial-state-dependent, robust, transient neural dynamics encode conscious visual perception","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institutes of Health; York University; Leon Levy Foundation; NYU Langone Medical Center","keywords":"Magnetoencephalography; Stimulus (psychology); Perception; Neuroscience; Psychology; Brain activity and meditation; Visual perception; Neural activity; Visual cortex; Cognitive psychology; Electroencephalography","score_opus":0.028278297971479384,"score_gpt":0.26018846852610716,"score_spread":0.2319101705546278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2611288819","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9823963,0.00005652653,0.007835547,0.0005661109,0.0061393,0.0011962695,0.0009977183,0.00074223557,0.00006996912],"genre_scores_gemma":[0.99765694,0.00030581496,0.0003561523,0.0006828651,0.0005606614,0.00015705814,0.0000022478712,0.00022025168,0.000058028185],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9947783,0.00040207323,0.00080862275,0.0020986954,0.00091724657,0.000995107],"domain_scores_gemma":[0.99659246,0.00015497254,0.0008421921,0.0016160635,0.00035669634,0.00043759446],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00057631737,0.00092674675,0.0007657426,0.00042238747,0.0008426004,0.0010623122,0.00119527,0.0006651515,0.00007450755],"category_scores_gemma":[0.0005816786,0.0009912441,0.00034426546,0.00027807907,0.00045647915,0.0005249664,0.0006568723,0.0016976862,0.00014980686],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013589708,0.00030476914,0.0009294415,0.00025710222,0.00003685669,0.00042628613,0.000023234717,0.0044804425,0.9928855,0.00031904882,0.00014697805,0.00005449818],"study_design_scores_gemma":[0.00260881,0.0006021617,0.062154017,0.00061276014,0.00034936762,0.0000015150717,0.000015171677,0.6881036,0.24051204,0.000045716846,0.0010885659,0.0039062826],"about_ca_topic_score_codex":0.00016202447,"about_ca_topic_score_gemma":0.00007097898,"teacher_disagreement_score":0.7523734,"about_ca_system_score_codex":0.0007069988,"about_ca_system_score_gemma":0.00047679042,"threshold_uncertainty_score":0.99997467},"labels":[],"label_agreement":null},{"id":"W2611779133","doi":"10.1101/127811","title":"Cell-type specific burst firing interacts with theta and beta activity in prefrontal cortex during attention states","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Ministero dello Sviluppo Economico; Ontario Ministry of Economic Development and Innovation","keywords":"Neuroscience; BETA (programming language); Prefrontal cortex; Population; Physics; Biology; Cognition; Computer science","score_opus":0.018187859017163032,"score_gpt":0.2195725945479147,"score_spread":0.20138473553075167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2611779133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99752146,0.00020236972,0.000064805456,0.0001146896,0.0011669814,0.0006773293,0.00007934394,0.00014826198,0.000024777888],"genre_scores_gemma":[0.9988266,0.0007056414,0.000117318275,0.000024991183,0.00015321808,0.00004078502,4.6401e-7,0.000095545045,0.00003544354],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99730664,0.00014263643,0.0003220869,0.0013600218,0.00035396602,0.000514624],"domain_scores_gemma":[0.998078,0.00008771413,0.0005537893,0.0009996605,0.000111556554,0.00016931574],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026448717,0.00050982257,0.00046121035,0.0002583117,0.00034680997,0.000648178,0.00045899922,0.00023687023,0.000011684208],"category_scores_gemma":[0.00007956986,0.00048175332,0.00006838679,0.0001999426,0.00018121694,0.00058028934,0.00064510864,0.0009401947,0.000017639459],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021494733,0.000113681,0.012166402,0.00027979736,0.00001325573,0.00015312944,0.000011709351,0.000109977416,0.9868853,0.000037388745,0.000007764229,0.0000066392663],"study_design_scores_gemma":[0.0005194627,0.00008364562,0.6143345,0.00044244688,0.000021815684,1.3293558e-7,0.0000019078793,0.0012115053,0.38283074,0.0000039031474,0.000097205506,0.00045273802],"about_ca_topic_score_codex":0.000079306985,"about_ca_topic_score_gemma":0.000025605763,"teacher_disagreement_score":0.6040546,"about_ca_system_score_codex":0.00024888088,"about_ca_system_score_gemma":0.00011232432,"threshold_uncertainty_score":0.9997634},"labels":[],"label_agreement":null},{"id":"W2612427969","doi":"10.1016/j.tins.2017.04.004","title":"Sustained Activity Encoding Working Memories: Not Fully Distributed","year":2017,"lang":"en","type":"review","venue":"Trends in Neurosciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":262,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; McGill University","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Working memory; Psychology; Encoding (memory); Sensory system; Coding (social sciences); Association (psychology); Stimulus (psychology); Cognitive psychology; Cognition","score_opus":0.2469909968264748,"score_gpt":0.401408438571319,"score_spread":0.15441744174484423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612427969","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004868767,0.85492647,0.00036825356,0.0020487776,0.06032339,0.0034773946,0.0010722211,0.0016505966,0.071264125],"genre_scores_gemma":[0.05419544,0.9406771,0.000012039196,0.00010883781,0.00028630474,0.000086480344,0.000021605865,0.00005368837,0.004558502],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9952252,0.0005417287,0.00068214,0.001788956,0.0008039177,0.0009580389],"domain_scores_gemma":[0.99683255,0.000998859,0.0010278011,0.0009460003,0.000024037257,0.00017075149],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006836268,0.0006793987,0.0014872398,0.00097636407,0.0008068122,0.0008823976,0.0020254075,0.00026433083,0.00008443629],"category_scores_gemma":[0.002468411,0.0005303318,0.00046440473,0.0023332601,0.00070057303,0.000677729,0.0007460715,0.0009735524,0.000015850044],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013835034,0.00006958593,0.000009462468,0.00047274117,0.0000017127286,0.0002231854,0.000018679135,0.000009854924,0.0006408751,0.0004697296,0.00006684456,0.9980035],"study_design_scores_gemma":[0.00025243964,0.00019444307,0.00012289024,0.0021652041,0.00008427705,0.0001262714,0.000015990921,0.0014627828,0.0003891745,0.00015800975,0.9941191,0.00090940605],"about_ca_topic_score_codex":0.000024338991,"about_ca_topic_score_gemma":0.000059154925,"teacher_disagreement_score":0.9970941,"about_ca_system_score_codex":0.00021899636,"about_ca_system_score_gemma":0.000229728,"threshold_uncertainty_score":0.99971485},"labels":[],"label_agreement":null},{"id":"W2613860934","doi":"","title":"Neural Synchrony Through Controlled Tracking","year":2001,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Artificial neural network; Information processing; Computer science; Spike (software development); Consciousness; Neural engineering; Spike train; Cognitive science; Neural decoding; Artificial intelligence; Psychology; Neuroscience; Algorithm","score_opus":0.02755593753318841,"score_gpt":0.23654586209853146,"score_spread":0.20898992456534304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613860934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93176,0.00010404157,0.00048754306,0.0022795987,0.0005800143,0.0005697279,0.0005308973,0.0008123392,0.062875845],"genre_scores_gemma":[0.99109757,0.00005250685,0.000085619155,0.0050186655,0.00031613492,0.00003258497,0.00010775192,0.00009723519,0.003191917],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99731666,0.00015724404,0.0005595943,0.0007617349,0.00050963636,0.00069510826],"domain_scores_gemma":[0.99859315,0.00052353606,0.00019756565,0.00041903107,0.000026109286,0.00024061617],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00011328354,0.00039442972,0.00044000178,0.0001246661,0.00033593256,0.0021916763,0.0005558828,0.0001464588,0.000816587],"category_scores_gemma":[0.0009799467,0.0003245696,0.00033096265,0.00069270795,0.0001460775,0.007473134,0.00019891758,0.0005683758,0.0021225265],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.013335154,0.0038299835,0.23485409,0.0003127929,0.00023016622,0.0053921076,0.00025023657,0.0012569834,0.37721604,0.099083446,0.019313345,0.24492568],"study_design_scores_gemma":[0.01636944,0.0009608813,0.007860346,0.00020595375,0.0001123498,0.0011658046,0.000076128345,0.02834328,0.07551339,0.087399505,0.77909356,0.0028993739],"about_ca_topic_score_codex":0.000001584404,"about_ca_topic_score_gemma":5.68824e-7,"teacher_disagreement_score":0.7597802,"about_ca_system_score_codex":0.000036804482,"about_ca_system_score_gemma":0.000045832632,"threshold_uncertainty_score":0.9999206},"labels":[],"label_agreement":null},{"id":"W2614368280","doi":"10.1117/1.nph.4.3.031210","title":"Mesoscale brain explorer, a flexible python-based image analysis and visualization tool","year":2017,"lang":"en","type":"article","venue":"Neurophotonics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Fondation Leducq; Fondation Brain Canada; Heart and Stroke Foundation of Canada","keywords":"Python (programming language); Mesoscale meteorology; Visualization; Computer science; Data visualization; Artificial intelligence; Pattern recognition (psychology); Physics","score_opus":0.028846040579390338,"score_gpt":0.2979634753265341,"score_spread":0.2691174347471438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2614368280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99006796,0.000011172707,0.0070902817,0.0011347962,0.00038344658,0.00026702625,0.00003324946,0.00016992656,0.0008421424],"genre_scores_gemma":[0.99533445,0.00010528208,0.00043380156,0.0033160374,0.000038659036,0.000025720945,0.000012430192,0.000042744014,0.0006908547],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983736,0.0001290756,0.0002305796,0.00067649456,0.0003100081,0.00028019815],"domain_scores_gemma":[0.9985453,0.00023620021,0.00022653905,0.0008411194,0.000053301534,0.00009757521],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018905266,0.00019102925,0.00024464374,0.00021151672,0.000714304,0.000565742,0.00032602894,0.00006739748,0.00006427369],"category_scores_gemma":[0.0012811814,0.00018067413,0.00013806009,0.00041539725,0.00018264401,0.00038716666,0.00013879781,0.00015236836,0.000028315997],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061227234,0.00007372486,0.0017022766,0.000021034208,0.000010968589,0.000054094864,0.00004127359,0.00020980273,0.99437267,0.0012128949,0.00020454044,0.0020354926],"study_design_scores_gemma":[0.0007048873,0.00019204365,0.018069535,0.000009193801,0.00012257791,0.0000094482,0.0000061452297,0.4422014,0.5316962,0.00044600276,0.0062431893,0.00029936733],"about_ca_topic_score_codex":0.000030739247,"about_ca_topic_score_gemma":0.000016864604,"teacher_disagreement_score":0.46267647,"about_ca_system_score_codex":0.0000256481,"about_ca_system_score_gemma":0.000037579804,"threshold_uncertainty_score":0.7367677},"labels":[],"label_agreement":null},{"id":"W2615162405","doi":"10.1523/eneuro.0061-17.2017","title":"Proactive Control: Neural Oscillatory Correlates of Conflict Anticipation and Response Slowing","year":2017,"lang":"en","type":"article","venue":"eNeuro","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute on Drug Abuse; Ministry of Science and Technology, Taiwan; National Institute on Alcohol Abuse and Alcoholism; McMaster University; National Institutes of Health; National Science Foundation","keywords":"Anticipation (artificial intelligence); Control (management); Psychology; Cognitive psychology; Computer science; Artificial intelligence","score_opus":0.04001147376472902,"score_gpt":0.2854763119498963,"score_spread":0.2454648381851673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2615162405","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981345,0.000012472802,0.00005505472,0.00038902205,0.00055240944,0.00019741857,0.000013196374,0.000031209885,0.0006147472],"genre_scores_gemma":[0.99942005,0.00001390185,0.0000063660973,0.00030764382,0.000029572228,0.0000055260402,4.2725756e-7,0.000012650063,0.00020387904],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99910474,0.00018107066,0.00014875675,0.00027117546,0.00015219994,0.00014203596],"domain_scores_gemma":[0.99890685,0.0005486786,0.00019328781,0.00027065133,0.000032002852,0.000048501624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021422717,0.00009725054,0.00013996572,0.00005707217,0.00032095687,0.0000775083,0.0001331219,0.000040011982,0.0000046316013],"category_scores_gemma":[0.0022498688,0.0000859004,0.000038479488,0.00003580376,0.00018734165,0.00028873121,0.00005704617,0.00011725707,0.0000034022007],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000814587,0.000021866337,0.01637738,0.0000070060987,0.0000036911897,0.000021312435,0.00016863176,0.00011031271,0.97945064,0.0005593948,0.000013809581,0.0024513688],"study_design_scores_gemma":[0.0012991045,0.00042799395,0.73061895,0.000017927725,0.000025231999,0.00003420097,0.000019187426,0.073807,0.19285843,0.00017637157,0.00054713304,0.00016847625],"about_ca_topic_score_codex":0.000013826621,"about_ca_topic_score_gemma":0.0000015268749,"teacher_disagreement_score":0.78659225,"about_ca_system_score_codex":0.000009703885,"about_ca_system_score_gemma":0.000016517453,"threshold_uncertainty_score":0.35029167},"labels":[],"label_agreement":null},{"id":"W2616404764","doi":"10.1103/physrevlett.118.208101","title":"Dominance of Metric Correlations in Two-Dimensional Neuronal Cultures Described through a Random Field Ising Model","year":2017,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Ministerio de Economía y Competitividad; Generalitat de Catalunya","keywords":"Metric (unit); Statistical physics; Ising model; Physics; Computer science","score_opus":0.0490797379620191,"score_gpt":0.34440894892074064,"score_spread":0.29532921095872156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2616404764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9862183,0.0003740231,0.0028371918,0.009618102,0.00019872416,0.0003535661,0.000008513298,0.0000132984205,0.00037831606],"genre_scores_gemma":[0.9815276,0.00040846717,0.0002895004,0.017672217,0.00005222695,0.00001880969,0.0000018236099,0.000008230714,0.000021077336],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989464,0.00009095678,0.0002459613,0.00029161628,0.00025805354,0.00016696211],"domain_scores_gemma":[0.9988847,0.000541313,0.0002267628,0.00029565278,0.000021825868,0.000029753479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010733829,0.00012228693,0.00031627427,0.000033213433,0.00017019748,0.000032392672,0.0002446628,0.00000784582,0.0000059731638],"category_scores_gemma":[0.0012771237,0.00009427904,0.000157837,0.00018288041,0.000099095174,0.0003423089,0.00007918472,0.00020985169,0.000008885507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011712413,0.00019946878,0.00033450313,0.00023583256,0.0000053355498,0.000014608091,0.00008891638,0.060663227,0.9271013,0.0053154626,0.0027125569,0.0032116529],"study_design_scores_gemma":[0.002394481,0.00006894321,0.003634648,0.0015950386,0.00007965974,0.000011286082,0.0000013078221,0.9560695,0.029583259,0.005891675,0.00031806578,0.00035212547],"about_ca_topic_score_codex":0.00004661238,"about_ca_topic_score_gemma":0.000004650364,"teacher_disagreement_score":0.89751804,"about_ca_system_score_codex":0.000018032979,"about_ca_system_score_gemma":0.000014959315,"threshold_uncertainty_score":0.38445878},"labels":[],"label_agreement":null},{"id":"W2617413315","doi":"10.1146/annurev-neuro-070815-014006","title":"Mechanisms of Persistent Activity in Cortical Circuits: Possible Neural Substrates for Working Memory","year":2017,"lang":"en","type":"review","venue":"Annual Review of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":230,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"National Institute on Deafness and Other Communication Disorders; National Institutes of Health; Canadian Institute for Advanced Research","keywords":"Neuroscience; Biological neural network; Working memory; Stimulus (psychology); Psychology; Neural activity; Cognitive psychology; Cognition","score_opus":0.18063380550392283,"score_gpt":0.38325014104629507,"score_spread":0.20261633554237224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2617413315","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00044816066,0.99491864,0.000087109824,0.000107005304,0.0014023526,0.0023960778,0.000265013,0.00003355158,0.000342055],"genre_scores_gemma":[0.025839994,0.9733975,0.000019168465,0.00038769597,0.00003066231,0.00011941155,0.0000050444132,0.000036890837,0.00016361952],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9960388,0.00047998287,0.0011346804,0.0011107636,0.00067584135,0.00055991136],"domain_scores_gemma":[0.9962648,0.0009981288,0.0016485887,0.00083004637,0.00012111521,0.00013731995],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001126587,0.0004648105,0.0021756478,0.00024743722,0.00023294803,0.00006740569,0.0014667463,0.00015629022,0.0000053848503],"category_scores_gemma":[0.005097532,0.0003640628,0.0012826115,0.0007672432,0.0005159777,0.0004399196,0.0002601391,0.0005312241,0.0000026075104],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010244036,0.0001966716,0.000001425734,0.07273463,0.0000041499766,0.000028067016,0.000019401596,0.0000063709876,0.010058253,0.0008210472,0.000033046188,0.9160867],"study_design_scores_gemma":[0.0012631716,0.0050120833,0.00050769415,0.49498987,0.0021625238,0.0009284953,0.00006403091,0.008691584,0.0057861917,0.001222911,0.47601587,0.0033555801],"about_ca_topic_score_codex":0.000010375066,"about_ca_topic_score_gemma":0.0000036584072,"teacher_disagreement_score":0.9127311,"about_ca_system_score_codex":0.0000621771,"about_ca_system_score_gemma":0.00032840008,"threshold_uncertainty_score":0.99988115},"labels":[],"label_agreement":null},{"id":"W2617941256","doi":"10.4324/9781315782379-195","title":"Computer Augmented Psychophysical Scaling","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Scaling; Computer science; Mathematics; Geometry","score_opus":0.03011017226303794,"score_gpt":0.2467034912167534,"score_spread":0.21659331895371545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2617941256","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009868456,0.000004198734,0.003441226,0.00037901735,0.0027672925,0.00030923836,0.000021450147,0.00017446597,0.99191624],"genre_scores_gemma":[0.00996803,0.000027395867,0.00017817992,0.0042823786,0.00059312466,0.0000015466551,0.000018735042,0.00005820404,0.9848724],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99872625,0.0000113792,0.00019727639,0.00059175823,0.00029399988,0.00017935841],"domain_scores_gemma":[0.9993859,0.00011339897,0.000098488366,0.00031755687,0.00002235952,0.000062314946],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003139053,0.0002442384,0.00023716257,0.00007944684,0.00006108944,0.0000662987,0.00018818003,0.00016042769,0.0008012531],"category_scores_gemma":[0.0000058083933,0.00019907375,0.00017024463,0.000023344339,0.000053903343,0.00006616551,0.000098725635,0.00032724487,0.0029950088],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004076804,0.000037635295,0.0000014403989,0.00003439488,0.00001279825,0.000027073074,0.000006487921,0.00008659074,0.039287195,0.90917486,0.015781008,0.035509773],"study_design_scores_gemma":[0.0010322746,0.00048930926,0.000043498174,0.0002784407,0.00005549907,0.00005817605,8.7552934e-7,0.123723194,0.004577931,0.04788703,0.8205155,0.0013382696],"about_ca_topic_score_codex":0.0000016185611,"about_ca_topic_score_gemma":7.292474e-7,"teacher_disagreement_score":0.86128783,"about_ca_system_score_codex":0.000032647215,"about_ca_system_score_gemma":0.000019499757,"threshold_uncertainty_score":0.9977813},"labels":[],"label_agreement":null},{"id":"W2618866125","doi":"10.1523/jneurosci.0794-17.2017","title":"Revisiting the Contribution of Auditory Cortex to Frequency-Following Responses","year":2017,"lang":"en","type":"letter","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Auditory cortex; Neuroscience; Scalp; Psychology; Stimulation; Audiology; Neural activity; Tonotopy; Biology; Medicine; Anatomy","score_opus":0.04035522156751063,"score_gpt":0.3012686357068187,"score_spread":0.2609134141393081,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2618866125","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39460146,0.00009727392,0.000710928,0.5829604,0.020680705,0.00046988012,0.000053455824,0.00002599012,0.00039988608],"genre_scores_gemma":[0.7445691,0.00007825703,0.000051356456,0.24867854,0.005438149,0.000003657029,7.8337274e-7,0.000029944656,0.001150171],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99620736,0.00058671366,0.0008474177,0.00046928073,0.0014506321,0.00043858917],"domain_scores_gemma":[0.9950954,0.0014024031,0.0024581966,0.000652994,0.00029168295,0.00009932623],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0015329964,0.00025914505,0.00051718473,0.00031769343,0.0007127541,0.00030820206,0.0019157002,0.00018651242,0.0000052033556],"category_scores_gemma":[0.019044649,0.00017084189,0.00042010006,0.00038555986,0.00036049343,0.000547446,0.00019219152,0.0017180158,0.000007605912],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036187652,0.000007863194,0.0000972285,0.000016004029,0.0000022787067,0.0013403017,0.000021876085,0.000020306623,0.9502896,0.00005397527,0.047503445,0.0006109012],"study_design_scores_gemma":[0.0006905057,0.0014588953,0.038277846,0.0015857138,0.00018193634,0.0032734622,0.000018398498,0.0007110372,0.04423803,0.0012889513,0.90750885,0.00076636573],"about_ca_topic_score_codex":0.000006721664,"about_ca_topic_score_gemma":5.1238106e-7,"teacher_disagreement_score":0.9060516,"about_ca_system_score_codex":0.000101856735,"about_ca_system_score_gemma":0.0003398104,"threshold_uncertainty_score":0.98921835},"labels":[],"label_agreement":null},{"id":"W2619200943","doi":"10.1016/j.cub.2017.03.067","title":"Neuroscience: When a Single Image Can Cause a Seizure","year":2017,"lang":"en","type":"letter","venue":"Current Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Western Hospital; Krembil Foundation; University of Toronto","funders":"","keywords":"Biology; Neuroscience; Mechanism (biology)","score_opus":0.10984097750309572,"score_gpt":0.3272899451215562,"score_spread":0.21744896761846044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2619200943","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016238792,0.00029222597,0.0003338292,0.9390944,0.038351573,0.0010158691,0.0016246111,0.0003770505,0.0026716003],"genre_scores_gemma":[0.033474937,0.00039768426,0.0000448603,0.9414202,0.010306853,0.0001377227,0.00075211684,0.00015194948,0.013313653],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99705726,0.00029628174,0.0002964983,0.0013342584,0.00023478303,0.0007809178],"domain_scores_gemma":[0.9982941,0.00016787351,0.00043644622,0.0009466817,0.000059474387,0.00009538786],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000107713495,0.00043396637,0.00042134454,0.00020878186,0.00046495645,0.0002749224,0.0011929793,0.00053834624,0.00007438508],"category_scores_gemma":[0.0009925698,0.00035146,0.00017934963,0.00011010796,0.000816648,0.00014039852,0.0003800379,0.0019307882,0.000119609824],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006069752,0.000044229928,0.00004789983,0.00005279816,0.0000020046355,0.00033329724,0.000029276121,2.2833717e-7,0.20664361,0.000098494944,0.7863692,0.006372908],"study_design_scores_gemma":[0.00018312524,0.00021463813,0.000047669764,0.000041997853,0.000024673649,0.00018714182,6.5569014e-7,0.0002095681,0.0021322477,0.002158554,0.9944032,0.00039653413],"about_ca_topic_score_codex":0.00003540726,"about_ca_topic_score_gemma":0.000015680507,"teacher_disagreement_score":0.20803401,"about_ca_system_score_codex":0.00008834282,"about_ca_system_score_gemma":0.00012281042,"threshold_uncertainty_score":0.9998937},"labels":[],"label_agreement":null},{"id":"W2619483036","doi":"10.1101/144683","title":"A Self-Organizing Short-Term Dynamical Memory Network","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Canadian Institute for Advanced Research; National Science Foundation","keywords":"Artificial neural network; Representation (politics); Information processing; Stimulus (psychology); Synaptic plasticity; Neural system; Encoding (memory); Working memory","score_opus":0.022298496823147777,"score_gpt":0.23404945635417054,"score_spread":0.21175095953102277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2619483036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9883413,0.00024807925,0.0010039265,0.00039745463,0.0072004786,0.0010874886,0.00014431147,0.001438947,0.00013806878],"genre_scores_gemma":[0.9948339,0.0003442179,0.0019933584,0.0005341259,0.0019003926,0.00012056055,4.0463095e-7,0.00024658622,0.000026495387],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9952928,0.00027041827,0.0006503721,0.0020192706,0.00068644667,0.0010807373],"domain_scores_gemma":[0.9961074,0.00018645322,0.0005526593,0.0024942558,0.00023037111,0.00042888228],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00062841264,0.00083023414,0.0007723822,0.00020354749,0.0008895435,0.0009612635,0.0015968077,0.0007777837,0.000044410335],"category_scores_gemma":[0.0006622776,0.00087181374,0.00029168802,0.0003621869,0.0002233717,0.00034250092,0.0016270472,0.0016742583,0.00016716805],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034116536,0.00016883142,0.0034344736,0.0003424085,0.00005909896,0.00036074515,0.0000069937196,0.00021675756,0.9933919,0.0015684064,0.0004081705,0.000008113237],"study_design_scores_gemma":[0.001597271,0.00032487404,0.16423215,0.001810146,0.0006791566,9.1349244e-7,0.0000027616043,0.077541105,0.736059,0.000099860416,0.011623632,0.006029136],"about_ca_topic_score_codex":0.000014198123,"about_ca_topic_score_gemma":0.0000037721866,"teacher_disagreement_score":0.2573329,"about_ca_system_score_codex":0.00042428347,"about_ca_system_score_gemma":0.00045437194,"threshold_uncertainty_score":0.99937326},"labels":[],"label_agreement":null},{"id":"W2620579415","doi":"10.1038/ncomms15471","title":"Neuronal population coding of perceived and memorized visual features in the lateral prefrontal cortex","year":2017,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":105,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; McGill University","funders":"Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Mnemonic; Neuroscience; Neural coding; Stimulus (psychology); Population; Perception; Visual cortex; Memorization; ENCODE; Prefrontal cortex; Coding (social sciences); Psychology; Visual perception; Communication; Biology; Cognition; Cognitive psychology; Medicine","score_opus":0.03204222897786866,"score_gpt":0.3310470470996241,"score_spread":0.29900481812175544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2620579415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99540854,0.00006702849,0.0000019072734,0.0029997774,0.00016665671,0.00019773614,0.000015765276,0.000012356967,0.0011302516],"genre_scores_gemma":[0.99921626,0.00015952354,0.00011005752,0.00038253816,0.000023457726,0.000009244078,0.000026186031,0.0000058912965,0.00006682467],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992978,0.00019053482,0.0001324777,0.00014576448,0.00014476641,0.000088662826],"domain_scores_gemma":[0.99878424,0.00029290147,0.00014143955,0.00074097136,0.000023317187,0.000017142293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014437306,0.00007236269,0.000094124334,0.000048366786,0.000586529,0.00010462474,0.00074332725,0.000089964604,0.000002996776],"category_scores_gemma":[0.00045008294,0.00005237854,0.00003113845,0.00006007177,0.00015841948,0.00021288428,0.00021882317,0.00054673833,6.073189e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000084780215,0.00016416378,0.044713587,0.000013284756,0.000004373278,0.0000023952132,0.0007816536,0.00000679466,0.9157955,0.034766033,0.00013987551,0.0035275444],"study_design_scores_gemma":[0.0002684356,0.00003267272,0.9936743,0.000013711502,0.0000066043754,0.000012972336,0.000036953985,0.004897913,0.00043045208,0.00041617537,0.00015681013,0.000053006966],"about_ca_topic_score_codex":0.00011622271,"about_ca_topic_score_gemma":0.0008961316,"teacher_disagreement_score":0.9489607,"about_ca_system_score_codex":0.000014171189,"about_ca_system_score_gemma":0.000008589736,"threshold_uncertainty_score":0.45111662},"labels":[],"label_agreement":null},{"id":"W2621014718","doi":"10.1111/infa.12188","title":"How Visual is Visual Prediction?","year":2017,"lang":"en","type":"article","venue":"Infancy","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Child Health and Human Development; Canadian Institutes of Health Research; National Institutes of Health; National Science Foundation","keywords":"Novelty; Stimulus (psychology); Psychology; Visual perception; Perception; Visual attention; Cognitive psychology; Neuroscience; Social psychology","score_opus":0.02769907040884732,"score_gpt":0.3075555748263265,"score_spread":0.27985650441747917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2621014718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98396575,0.000008252766,0.00032533336,0.004038272,0.0018170916,0.0001402407,0.000038125843,0.00011671697,0.009550214],"genre_scores_gemma":[0.9903397,0.000025126186,0.000016363483,0.0011962609,0.00034837323,0.0000110544415,0.0000016850621,0.000013484941,0.008047936],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99914795,0.000021375254,0.00009784825,0.00031258565,0.00022290013,0.00019734945],"domain_scores_gemma":[0.999436,0.000037618673,0.00011649226,0.00032317408,0.000019902345,0.00006677502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000532173,0.0001016198,0.00008804278,0.000042414922,0.00060260016,0.00048535745,0.00023810858,0.000056787463,0.000069496644],"category_scores_gemma":[0.0003699292,0.00008933159,0.000057456375,0.000049856008,0.00009421369,0.000596788,0.00009964069,0.00012678551,0.00011437086],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007651265,0.00021442237,0.046575986,0.000024528772,0.000011639861,0.00007235561,0.00019966073,0.000003904869,0.8257459,0.0059283613,0.0093595395,0.11178723],"study_design_scores_gemma":[0.0014229662,0.00071749813,0.37903446,0.00005254024,0.000025727653,0.000083378574,0.000034087727,0.037980583,0.40606806,0.005210871,0.1687915,0.00057834113],"about_ca_topic_score_codex":0.000011021591,"about_ca_topic_score_gemma":0.0000037657303,"teacher_disagreement_score":0.4196778,"about_ca_system_score_codex":0.000010822987,"about_ca_system_score_gemma":0.000016610365,"threshold_uncertainty_score":0.46803132},"labels":[],"label_agreement":null},{"id":"W2621653482","doi":"10.1007/s11571-017-9443-3","title":"Right cerebral hemispheric sensitivity to pH and physiological ions in fixed post-mortem Wistar rat brains","year":2017,"lang":"en","type":"article","venue":"Cognitive Neurodynamics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Cerebrum; Fixative; Neuroscience; Chemistry; Biophysics; Biology; Biochemistry; Central nervous system; Cytoplasm","score_opus":0.03291301837663503,"score_gpt":0.27582642909085486,"score_spread":0.24291341071421985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2621653482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99526525,0.0000031466066,0.00040294428,0.0014918053,0.0005915529,0.00054550305,0.00024472203,0.000084243205,0.0013708575],"genre_scores_gemma":[0.99479955,0.000022426408,0.0000484639,0.0045558014,0.00008912123,0.000022108758,0.000032959502,0.00003295469,0.0003966057],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9977701,0.0002930998,0.00024566875,0.0009801396,0.00022235009,0.0004886993],"domain_scores_gemma":[0.998538,0.00057662313,0.00016082026,0.00040121324,0.000104478975,0.00021882745],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016826119,0.00030862025,0.00033161396,0.000083175306,0.0006655763,0.00023389874,0.00022832448,0.000110708,0.000026337437],"category_scores_gemma":[0.003217004,0.00027707615,0.00008099134,0.00019026212,0.00038940634,0.00035962585,0.00041801666,0.0004447792,0.00004578222],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021949726,0.00019705584,0.005412643,0.000020039688,0.0000040038526,0.0006054065,0.000074423384,0.00006777402,0.9883935,0.001042244,0.00007489144,0.0038885393],"study_design_scores_gemma":[0.0013244243,0.0005530124,0.9147323,0.00007373583,0.000025309857,0.00015166937,0.00007918873,0.06428896,0.017171336,0.00077181513,0.0002080099,0.0006202814],"about_ca_topic_score_codex":0.000058926486,"about_ca_topic_score_gemma":0.00055154733,"teacher_disagreement_score":0.97122216,"about_ca_system_score_codex":0.000050732477,"about_ca_system_score_gemma":0.00003942548,"threshold_uncertainty_score":0.9999682},"labels":[],"label_agreement":null},{"id":"W2621722436","doi":"10.1101/147405","title":"Cortical Entropy Values Correlate with Brain Scale-Free Dynamics","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Scaling; Exponent; Entropy (arrow of time); Statistical physics; Electroencephalography; Mathematics; Logarithm; Physics; Mathematical analysis; Geometry; Psychology; Neuroscience","score_opus":0.01496237626458922,"score_gpt":0.2247875823523785,"score_spread":0.2098252060877893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2621722436","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98701,0.00007196378,0.0047689546,0.0023027402,0.0034720057,0.0009859056,0.0006046599,0.00069423794,0.0000895134],"genre_scores_gemma":[0.9967553,0.00014663508,0.0013113105,0.0008974217,0.0004539411,0.00011230077,7.808087e-7,0.00020558208,0.000116755175],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9954852,0.0003151862,0.00057308987,0.001859602,0.0008693366,0.00089758966],"domain_scores_gemma":[0.99488366,0.0003520064,0.0007582237,0.0032651883,0.00029603977,0.0004448892],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005332637,0.00080149487,0.00073470676,0.00024563068,0.0007706843,0.0008696204,0.0018169665,0.0006233878,0.000038813934],"category_scores_gemma":[0.0020083534,0.00072462833,0.00021914183,0.00029690214,0.00065652246,0.00033243373,0.0013223874,0.0018590918,0.00012591059],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002485243,0.0002760019,0.00770244,0.00026681414,0.00006940971,0.00045603077,0.000008302251,0.0003038438,0.9770676,0.0124701215,0.0011230521,0.0000078931425],"study_design_scores_gemma":[0.005043907,0.0011548197,0.29134533,0.002420126,0.00066666363,0.0000014853943,0.000006952343,0.2638776,0.42515537,0.0003967547,0.004478754,0.005452231],"about_ca_topic_score_codex":0.000049240505,"about_ca_topic_score_gemma":0.000020458834,"teacher_disagreement_score":0.5519122,"about_ca_system_score_codex":0.00042159567,"about_ca_system_score_gemma":0.00045663738,"threshold_uncertainty_score":0.9995205},"labels":[],"label_agreement":null},{"id":"W2621859287","doi":"10.1101/147447","title":"Just One Brain Activity","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Brain activity and meditation; Perception; Duality (order theory); Cognition; Neuroscience; Psychology; Computer science; Neural activity; Mental representation; Cognitive psychology; Cognitive science; Mathematics; Electroencephalography; Pure mathematics","score_opus":0.04858267093371227,"score_gpt":0.25956073474555325,"score_spread":0.21097806381184098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2621859287","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901542,0.000060493076,0.0010177133,0.0031262096,0.0038307013,0.0007747953,0.0003177336,0.0006040791,0.00011407511],"genre_scores_gemma":[0.9973289,0.00015011145,0.00035333316,0.0010106134,0.0007940902,0.00012059904,1.2140863e-7,0.0001425075,0.00009975098],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9963564,0.00025823223,0.00036079658,0.0016985971,0.00062284677,0.00070309493],"domain_scores_gemma":[0.9960962,0.00023290537,0.0007242762,0.0024419804,0.00018867715,0.0003159471],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005693184,0.00061418867,0.00061170175,0.00024197744,0.00064317783,0.0007563047,0.0012131768,0.0005963248,0.00006701503],"category_scores_gemma":[0.0019899297,0.00067056774,0.00023452271,0.000246552,0.00026569242,0.0003883561,0.0010991336,0.0013630897,0.00024956904],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041170097,0.00018828745,0.00033057175,0.00019214486,0.000022455537,0.00007510122,0.0000027485605,0.000027914275,0.996775,0.0015825218,0.00074939296,0.000012740401],"study_design_scores_gemma":[0.00045257382,0.00007639773,0.05236931,0.00026925447,0.00006523271,2.6457133e-8,3.2210124e-7,0.0022530688,0.935236,0.000019770205,0.0082660215,0.000992042],"about_ca_topic_score_codex":0.000074547126,"about_ca_topic_score_gemma":0.0000046873024,"teacher_disagreement_score":0.061538972,"about_ca_system_score_codex":0.00026534768,"about_ca_system_score_gemma":0.00040445724,"threshold_uncertainty_score":0.99957454},"labels":[],"label_agreement":null},{"id":"W2622760875","doi":"10.1101/056440","title":"Age-Related Delay in Visual and Auditory Evoked Responses is Mediated by White and Gray matter Differences","year":2016,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"Biotechnology and Biological Sciences Research Council","keywords":"White matter; Magnetoencephalography; Neuroscience; Psychology; Atrophy; Audiology; Gray (unit); Visual processing; Population; Magnetic resonance imaging; Electroencephalography; Perception; Medicine; Pathology","score_opus":0.01195549910039529,"score_gpt":0.2226657438139066,"score_spread":0.21071024471351132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2622760875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99598247,0.00030661962,0.000044288685,0.0012046073,0.0013268419,0.0005043677,0.0004418696,0.00017582133,0.000013123981],"genre_scores_gemma":[0.99804854,0.0006016757,0.00003578953,0.00090548873,0.00011613757,0.000088857516,3.959419e-7,0.00008299154,0.00012014829],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9966859,0.00045699842,0.0005491552,0.00139927,0.00038478948,0.00052386837],"domain_scores_gemma":[0.99836063,0.0004509237,0.00036294624,0.00049053406,0.000088908935,0.0002460405],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004143305,0.00055456004,0.0005449425,0.00040437965,0.00017045846,0.0002853053,0.00031224824,0.0005567606,0.000093023904],"category_scores_gemma":[0.0004508348,0.0004611033,0.00006320736,0.0003763769,0.00043740953,0.00023742871,0.00047278032,0.00069156464,0.000056436613],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010253684,0.000065064436,0.074997336,0.000092548486,0.00001923865,0.00009938517,0.000019978439,3.8756482e-7,0.923172,0.000043187272,0.0013858424,0.0000024755495],"study_design_scores_gemma":[0.0012442195,0.00014993703,0.88631326,0.00057053624,0.000054486227,1.9463052e-7,0.0000026925115,0.0011184469,0.10767858,0.000045337914,0.001680094,0.0011421979],"about_ca_topic_score_codex":0.000029029681,"about_ca_topic_score_gemma":0.0000050668264,"teacher_disagreement_score":0.81549346,"about_ca_system_score_codex":0.00011026739,"about_ca_system_score_gemma":0.00012458966,"threshold_uncertainty_score":0.99978405},"labels":[],"label_agreement":null},{"id":"W2622927283","doi":"10.1121/1.4987548","title":"Using electroencephalography as a tool to understand auditory perception: Event-related and time-frequency analyses","year":2017,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Electroencephalography; Computer science; EEG-fMRI; Auditory cortex; Perception; Magnetoencephalography; Neuroscience; Speech recognition; Pattern recognition (psychology); Artificial intelligence; Psychology","score_opus":0.03904073851666514,"score_gpt":0.32095011532055173,"score_spread":0.2819093768038866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2622927283","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9549455,0.000039204737,0.038666617,0.00571368,0.0003063591,0.00013546654,0.000004758813,0.000007196277,0.0001812146],"genre_scores_gemma":[0.9951285,0.00024523406,0.0029681495,0.0014381256,0.000119745826,2.2456761e-7,5.859706e-8,0.00000855552,0.00009139932],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988576,0.00015780872,0.00028371043,0.00011965459,0.00039368452,0.00018750354],"domain_scores_gemma":[0.99876356,0.00025823203,0.00052011624,0.00029664635,0.00008660224,0.00007484591],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033406535,0.00010833886,0.00020872612,0.000024769282,0.0007579723,0.00006370874,0.000520574,0.00004593612,0.00006412588],"category_scores_gemma":[0.0005584495,0.00005797238,0.0002816789,0.00020318408,0.00086499157,0.00017291858,0.00013661412,0.00031101605,0.000003133087],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006194358,0.000035698147,0.000064585096,0.0000061024534,0.0000426352,0.0000013636582,0.00026904597,0.0021501882,0.994009,0.000014385401,0.0015890145,0.0017560399],"study_design_scores_gemma":[0.0020769073,0.0043096524,0.055870973,0.0004451368,0.0019957582,0.0014694486,0.004973677,0.85253716,0.018380884,0.05656313,0.0005260011,0.0008512663],"about_ca_topic_score_codex":0.000041889463,"about_ca_topic_score_gemma":2.7750772e-7,"teacher_disagreement_score":0.97562814,"about_ca_system_score_codex":0.00006139757,"about_ca_system_score_gemma":0.000060139377,"threshold_uncertainty_score":0.58297867},"labels":[],"label_agreement":null},{"id":"W2622942860","doi":"10.1121/1.4987756","title":"Oscillatory brain activity in response to emotional sounds in musicians and non-musicians","year":2017,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; McGill University","funders":"","keywords":"Psychology; Electroencephalography; Laughter; Cognitive psychology; Emotional prosody; Musical; Communication; Perception; Neuroscience","score_opus":0.01907805344504562,"score_gpt":0.2723033960493308,"score_spread":0.2532253426042852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2622942860","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94881296,0.000004732346,0.006793609,0.0439047,0.00026142417,0.00012122604,0.000008797667,0.0000025899192,0.00008997651],"genre_scores_gemma":[0.99216324,0.000039760183,0.00054381584,0.0070588496,0.000086827626,7.265727e-7,2.0950338e-8,0.000009088775,0.000097695025],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99867654,0.00032747904,0.00025982055,0.0001338729,0.00039018076,0.00021213427],"domain_scores_gemma":[0.9977434,0.0014661864,0.0003681244,0.0003125301,0.000042596723,0.00006714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012567991,0.000104833125,0.00023682644,0.000039331575,0.00032477788,0.00004228506,0.0005566647,0.000054214557,0.000007737868],"category_scores_gemma":[0.0022357556,0.0000620127,0.00014608512,0.00019896177,0.00068024127,0.00015105074,0.00026669036,0.00047270994,0.0000014359979],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00085753005,0.00012575029,0.0012073263,0.000010464139,0.000007041248,0.000004621967,0.0011440837,0.004032937,0.9824314,0.000006171013,0.0027508195,0.0074218335],"study_design_scores_gemma":[0.0011263582,0.0007447377,0.8348663,0.00019902318,0.000035988498,0.00008665561,0.0009889692,0.15418606,0.0044051684,0.0020762952,0.0010690009,0.00021546165],"about_ca_topic_score_codex":0.00009471382,"about_ca_topic_score_gemma":0.000018867755,"teacher_disagreement_score":0.9780263,"about_ca_system_score_codex":0.00010308234,"about_ca_system_score_gemma":0.0000929302,"threshold_uncertainty_score":0.26765698},"labels":[],"label_agreement":null},{"id":"W2625139559","doi":"10.1121/1.4987588","title":"Quantifying connectivity to auditory cortex: Implications for crossmodal plasticity and hearing restoration","year":2017,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Crossmodal; Neuroscience; Auditory cortex; Somatosensory system; Sensory system; Stimulus modality; Neuroplasticity; Psychology; Visual perception; Perception","score_opus":0.07339381165634626,"score_gpt":0.336803428645951,"score_spread":0.26340961698960474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2625139559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65430623,0.0000048325537,0.33311972,0.011978747,0.00038399885,0.00016782734,0.000018198984,0.000004791619,0.00001567456],"genre_scores_gemma":[0.9955685,0.000034172506,0.0032914605,0.0008832614,0.00019362089,0.0000021128367,6.3814e-8,0.0000067073433,0.000020094985],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993332,0.0000658579,0.00020422711,0.000100210564,0.00016574094,0.0001307333],"domain_scores_gemma":[0.99779505,0.0013334494,0.0004775228,0.00021883556,0.00011524997,0.00005986819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036295562,0.000069033274,0.0001515844,0.000009062082,0.0011934782,0.000071677125,0.00036132117,0.00003214441,0.0000014237552],"category_scores_gemma":[0.0026163824,0.000039772407,0.0001277995,0.00005812365,0.0005010919,0.0001463364,0.00016045924,0.00019947725,4.207514e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013981292,0.000041154402,0.0007900689,0.000017439195,0.000011066368,7.010877e-8,0.00015394024,0.003471154,0.98873746,0.00010267055,0.0023863486,0.0041488023],"study_design_scores_gemma":[0.000556444,0.00064644683,0.6068409,0.00007276415,0.000147034,0.00006109236,0.00026325067,0.37191904,0.014432634,0.004030252,0.0008759393,0.00015419086],"about_ca_topic_score_codex":0.00003544334,"about_ca_topic_score_gemma":0.0000034923596,"teacher_disagreement_score":0.97430485,"about_ca_system_score_codex":0.00004055854,"about_ca_system_score_gemma":0.000044502514,"threshold_uncertainty_score":0.91793907},"labels":[],"label_agreement":null},{"id":"W2625593027","doi":"10.1101/149906","title":"Simultaneous spike-time locking to multiple frequencies","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft","keywords":"Electric fish; Electroreception; Sensory system; Neural coding; Neuroscience; Computer science; SIGNAL (programming language); Biology; Fish <Actinopterygii>","score_opus":0.02325326371201221,"score_gpt":0.23293597498925164,"score_spread":0.20968271127723942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2625593027","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920907,0.00009780993,0.0012451671,0.0006324282,0.003354506,0.0012109837,0.00045190382,0.0008352502,0.00008125134],"genre_scores_gemma":[0.9961585,0.00006484513,0.0015454891,0.0011247877,0.00068209734,0.00012703292,2.4379716e-7,0.00017967685,0.000117359676],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99590516,0.00015866768,0.0005465761,0.0018458397,0.0006663004,0.0008774267],"domain_scores_gemma":[0.9958863,0.0005040827,0.00057956,0.0022856903,0.0002919141,0.00045245464],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00042117163,0.0007401307,0.0006748978,0.0003359874,0.00071430096,0.00093199575,0.0015148927,0.0005124502,0.000059249523],"category_scores_gemma":[0.0061220275,0.00077218655,0.0002279517,0.00032883225,0.00019195866,0.00026435425,0.0012144184,0.00095985114,0.000990404],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034911733,0.00007440814,0.0005817526,0.000114865536,0.000017184924,0.00032399924,0.000007755785,0.0023727785,0.9959404,0.00021483752,0.00030651846,0.000010605068],"study_design_scores_gemma":[0.00041465697,0.00012979779,0.0043647285,0.00047261998,0.0000613573,1.08177105e-7,7.6948896e-7,0.03590098,0.9399376,0.000014042609,0.01726652,0.001436841],"about_ca_topic_score_codex":0.00010129448,"about_ca_topic_score_gemma":0.00000727513,"teacher_disagreement_score":0.056002803,"about_ca_system_score_codex":0.00036054137,"about_ca_system_score_gemma":0.00033365283,"threshold_uncertainty_score":0.99978745},"labels":[],"label_agreement":null},{"id":"W2626706140","doi":"10.1073/pnas.1701812114","title":"Inhibitory engrams in perception and memory","year":2017,"lang":"en","type":"review","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":171,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"University of Oxford; Department of Atomic Energy, Government of India; Wellcome Trust; Medical Research Council; John Fell Fund, University of Oxford; Directorate for Biological Sciences; National Centre for Biological Sciences; Tata Institute of Fundamental Research; Wellcome; Biotechnology and Biological Sciences Research Council; Simons Foundation Autism Research Initiative; Science Foundation Ireland; James S. McDonnell Foundation; Simons Foundation","keywords":"Engram; Neuroscience; Inhibitory postsynaptic potential; Habituation; Excitatory postsynaptic potential; Psychology; Disinhibition; Schizophrenia (object-oriented programming)","score_opus":0.1812491751140454,"score_gpt":0.384333789256843,"score_spread":0.20308461414279758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2626706140","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.084284894,0.8865039,1.5355813e-7,0.0016712723,0.0003851771,0.0019911046,0.000076151955,0.000039909843,0.025047459],"genre_scores_gemma":[0.083177365,0.91615456,0.000051207677,0.000107107655,0.00011853622,0.00002018682,1.2242825e-7,0.0000071029654,0.00036383915],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99825376,0.000018477569,0.00039974644,0.0003918268,0.00080695143,0.00012925225],"domain_scores_gemma":[0.99883825,0.00019822901,0.0008739905,0.000010065899,0.000054780583,0.000024672985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012135382,0.00014194222,0.00040022674,0.00028832332,0.0002391976,0.000057069352,0.0008101917,0.00016115239,0.0000042215006],"category_scores_gemma":[0.0013244433,0.00008686457,0.00012402522,0.00040880195,0.0011032169,0.00047922906,0.00022718933,0.0003410483,0.0000015084031],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006449427,0.000063808664,0.00008216362,0.005620659,0.0000052661067,3.2255894e-8,0.00013255332,0.0000037835914,0.053555127,0.017573811,0.00027374848,0.9226826],"study_design_scores_gemma":[0.0012739986,0.0005394135,0.016961798,0.056890413,0.0003830017,0.0005102588,0.00041124772,0.0040939413,0.027685298,0.14898615,0.74004227,0.0022221997],"about_ca_topic_score_codex":0.0000037311802,"about_ca_topic_score_gemma":6.9513e-8,"teacher_disagreement_score":0.9204604,"about_ca_system_score_codex":0.00005010638,"about_ca_system_score_gemma":0.00004376654,"threshold_uncertainty_score":0.40648487},"labels":[],"label_agreement":null},{"id":"W26397098","doi":"10.1371/journal.pone.0138373","title":"Oscillatory Dynamic Link Matching for Pattern Recognition","year":2003,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Coding (social sciences); Computer science; Correspondence problem; Pattern recognition (psychology); Gestalt psychology; Normalization (sociology); Algorithm; Computation; Artificial intelligence; Optical flow; Segmentation; Dynamic time warping; Topology (electrical circuits); Mathematics; Perception; Image (mathematics); Combinatorics","score_opus":0.07629280087113778,"score_gpt":0.24375335484229685,"score_spread":0.16746055397115905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W26397098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930027,0.000010147719,0.0043886057,0.0005987293,0.00023465049,0.00036865717,0.000043988082,0.00010049957,0.0012520162],"genre_scores_gemma":[0.9965265,0.00003395684,0.00091874076,0.0017949514,0.00006614397,0.000049181013,0.0000134835,0.00002555459,0.000571511],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991499,0.000056318095,0.00013809107,0.00028529664,0.00017716317,0.00019318658],"domain_scores_gemma":[0.9995458,0.0001752314,0.00006375651,0.00013429129,0.00003400174,0.000046885598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012368258,0.000091013506,0.000107992004,0.000054766377,0.00014381912,0.00004233536,0.00006687033,0.000049394763,0.000058957237],"category_scores_gemma":[0.00031515257,0.00009011957,0.000045731234,0.0000923449,0.000020177038,0.00012583105,0.000012728245,0.00010843996,0.0001173199],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012132134,0.00021889948,0.000106004576,0.00007634675,0.000007732017,0.0000024730023,0.00003917484,0.0000071296217,0.9814429,0.00021756637,0.000028845008,0.017840758],"study_design_scores_gemma":[0.0015698844,0.0005674422,0.0010350937,0.00032605472,0.00012844328,0.00002096184,0.00004758661,0.056804195,0.87299776,0.06439998,0.0013396845,0.0007629311],"about_ca_topic_score_codex":0.0000027744827,"about_ca_topic_score_gemma":0.0000065403538,"teacher_disagreement_score":0.10844519,"about_ca_system_score_codex":0.00003920218,"about_ca_system_score_gemma":0.000012538414,"threshold_uncertainty_score":0.36749694},"labels":[],"label_agreement":null},{"id":"W2650517833","doi":"10.3389/fncom.2017.00054","title":"Models of Acetylcholine and Dopamine Signals Differentially Improve Neural Representations","year":2017,"lang":"en","type":"article","venue":"Frontiers in Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Studienstiftung des Deutschen Volkes; Deutsche Forschungsgemeinschaft","keywords":"Hebbian theory; Neuroscience; Artificial neural network; Stimulus (psychology); Biological neural network; Computer science; Acetylcholine; Neurotransmission; Artificial intelligence; Psychology; Biology; Cognitive psychology","score_opus":0.040117037011026965,"score_gpt":0.2919727516661788,"score_spread":0.25185571465515183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2650517833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8669162,0.000018384337,0.12946123,0.0012244147,0.0017246992,0.0002694502,0.00006682498,0.000024002296,0.00029481656],"genre_scores_gemma":[0.9962329,0.00003638368,0.003102953,0.00036606396,0.000034772766,0.000010806917,0.000003627617,0.000010611608,0.00020187105],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99836373,0.000080621714,0.00032390238,0.0005911559,0.0004142862,0.00022633006],"domain_scores_gemma":[0.99907887,0.00016773256,0.00030196866,0.00030876798,0.00006133555,0.00008132535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015228476,0.00013759822,0.00020099184,0.00018131864,0.00041220858,0.00019215507,0.0005045504,0.00003510537,0.000002442228],"category_scores_gemma":[0.00070242723,0.00013076741,0.000046467077,0.00018366356,0.00062534556,0.00085113075,0.00023779432,0.00015478235,4.3641023e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009669668,0.00018794871,0.011783404,0.00003052157,0.0000018336228,0.00002773121,0.00007593064,0.3549964,0.6149952,0.008275919,0.00018085331,0.009347592],"study_design_scores_gemma":[0.00047825024,0.00007957448,0.06275549,0.000010540407,0.0000037937477,0.000013778071,0.00000979848,0.9052252,0.0065979348,0.024696302,0.000013805127,0.00011549888],"about_ca_topic_score_codex":0.00002350643,"about_ca_topic_score_gemma":0.000003872722,"teacher_disagreement_score":0.60839725,"about_ca_system_score_codex":0.000016795673,"about_ca_system_score_gemma":0.000038929047,"threshold_uncertainty_score":0.533254},"labels":[],"label_agreement":null},{"id":"W2700606522","doi":"10.1016/j.celrep.2017.06.018","title":"Peripheral Sensory Deprivation Restores Critical-Period-like Plasticity to Adult Somatosensory Thalamocortical Inputs","year":2017,"lang":"en","type":"article","venue":"Cell Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"Yonsei University College of Medicine; National Institutes of Health; National Institute of Neurological Disorders and Stroke; National Research Foundation of Korea; Ministry of Science, ICT and Future Planning","keywords":"Somatosensory system; Sensory deprivation; Sensory system; Peripheral; Neuroplasticity; Neuroscience; Period (music); Sensory stimulation therapy; Plasticity; Biology; Medicine; Internal medicine","score_opus":0.030543518459064594,"score_gpt":0.2813203087137913,"score_spread":0.2507767902547267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2700606522","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98777205,0.0000035327987,0.0009468827,0.001373503,0.0021099148,0.00029680505,0.000006386459,0.00014337148,0.0073475777],"genre_scores_gemma":[0.9953337,0.00000650801,0.000367152,0.0016552815,0.00024416146,0.000028076045,0.0000025397007,0.00003554037,0.002327074],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976901,0.00007944094,0.00045854316,0.00082147977,0.0004995489,0.00045090631],"domain_scores_gemma":[0.9982658,0.00020576347,0.00023076776,0.0008481312,0.00014674343,0.0003027733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012704032,0.00022712813,0.00023038776,0.00007477642,0.0008710993,0.00036871916,0.00022226575,0.00013088922,0.00007390981],"category_scores_gemma":[0.006965897,0.00021043693,0.00010041162,0.00007156938,0.0002850175,0.00035528836,0.00020775478,0.00025284622,0.000073137875],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057649326,0.000121625235,0.013692825,0.000037062808,0.0000018619103,0.0024866106,0.00011570333,0.00008579904,0.98079467,0.0012029144,0.00077757105,0.00062572584],"study_design_scores_gemma":[0.0003539438,0.0002689953,0.16912429,0.00007946344,0.000032165302,0.0015086057,0.000038834096,0.0069618938,0.81385475,0.0023028126,0.0047828574,0.00069141586],"about_ca_topic_score_codex":0.000027799832,"about_ca_topic_score_gemma":0.000022617185,"teacher_disagreement_score":0.16693993,"about_ca_system_score_codex":0.0000758443,"about_ca_system_score_gemma":0.00006362356,"threshold_uncertainty_score":0.8581369},"labels":[],"label_agreement":null},{"id":"W2717834201","doi":"10.1016/j.neuroimage.2017.06.068","title":"Interpreting the dimensions of neural feature representations revealed by dimensionality reduction","year":2017,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Division of Arctic Sciences; National Health and Medical Research Council; Australian Research Council","keywords":"Dimensionality reduction; Artificial intelligence; Computer science; Pattern recognition (psychology); Artificial neural network; Curse of dimensionality; Marmoset; Machine learning; Biology","score_opus":0.03279416759087809,"score_gpt":0.30969561629857323,"score_spread":0.2769014487076951,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2717834201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9789505,0.000015831667,0.0000535048,0.016770395,0.0011480143,0.0002877915,0.000050903458,0.000053426404,0.0026696317],"genre_scores_gemma":[0.99654263,0.000027119702,0.000049768852,0.00061513006,0.00006157124,0.000010561114,0.00000712267,0.000016247039,0.002669844],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986424,0.00025316075,0.00021245306,0.00043088055,0.00027820907,0.00018294116],"domain_scores_gemma":[0.9983058,0.00031115816,0.00034779854,0.0009216087,0.00006210122,0.000051546027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019406129,0.00012472054,0.00013460383,0.000032272907,0.0011895912,0.00013152453,0.00041304884,0.000043046173,0.0000196014],"category_scores_gemma":[0.0020908075,0.00007813907,0.00010285401,0.000104898645,0.0003486792,0.00035034458,0.00024426883,0.000326957,0.000009263765],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034688874,0.00003899405,0.0007152574,0.0000056054696,0.0000019007506,0.0000072257176,0.00004683391,0.000034639175,0.98047304,0.0006355252,0.016993046,0.001013241],"study_design_scores_gemma":[0.0012414262,0.00038162546,0.1879431,0.00011276947,0.000101830105,0.00048570437,0.00020150913,0.04915758,0.74226236,0.0052950094,0.012198146,0.0006189096],"about_ca_topic_score_codex":0.00006542314,"about_ca_topic_score_gemma":0.00000407578,"teacher_disagreement_score":0.23821065,"about_ca_system_score_codex":0.000012946855,"about_ca_system_score_gemma":0.000012692566,"threshold_uncertainty_score":0.9149494},"labels":[],"label_agreement":null},{"id":"W2724657457","doi":"10.1111/ejn.13635","title":"The atypical dopamine receptor agonist <scp>SKF</scp> 83959 enhances hippocampal and prefrontal cortical neuronal network activity in a rat model of cognitive dysfunction","year":2017,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs; University of Toronto; University of New Brunswick","funders":"Canada Research Chairs; Alzheimer Society; National Alliance for Research on Schizophrenia and Depression; Brain and Behavior Research Foundation","keywords":"Prefrontal cortex; Neuroscience; Hippocampal formation; Hippocampus; Agonist; Dopamine; Psychology; Local field potential; Chemistry; Receptor; Internal medicine; Cognition; Medicine","score_opus":0.037181830321755295,"score_gpt":0.2618647345497473,"score_spread":0.224682904227992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2724657457","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99425036,0.000026814323,0.00253792,0.00040273584,0.0017767461,0.00018161099,0.000012718696,0.0000114290515,0.00079965167],"genre_scores_gemma":[0.9988384,0.00029948322,0.00007026285,0.00026751068,0.00021487566,0.0000017902577,2.892281e-7,0.000021854354,0.00028551556],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9969097,0.00094742473,0.00056114414,0.0004893322,0.0006438444,0.00044860173],"domain_scores_gemma":[0.9971824,0.0012588397,0.0009628339,0.00028174,0.00010803307,0.00020612053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013530324,0.0002195775,0.00028918937,0.000076423516,0.001121772,0.00039979766,0.0007555686,0.000031962263,0.000001627291],"category_scores_gemma":[0.0072513986,0.00015272116,0.000105880754,0.0001940955,0.0015339407,0.0008379537,0.00033754428,0.0007606527,0.0000041125195],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051513157,0.00013426442,0.0012125252,0.0000072972975,0.0000015166438,0.000089361405,0.00007375156,0.0007796257,0.99036044,0.0002573132,0.000086171494,0.0064826272],"study_design_scores_gemma":[0.002099766,0.0033692806,0.76246744,0.0002389396,0.00004036334,0.00050645217,0.00009316683,0.12963887,0.10000388,0.00041471724,0.0009077402,0.00021940468],"about_ca_topic_score_codex":0.0000017419004,"about_ca_topic_score_gemma":0.000009444657,"teacher_disagreement_score":0.89035654,"about_ca_system_score_codex":0.00002997893,"about_ca_system_score_gemma":0.000097627824,"threshold_uncertainty_score":0.8681125},"labels":[],"label_agreement":null},{"id":"W2724993147","doi":"10.1016/j.heares.2017.06.009","title":"Synaptic distribution and plasticity in primary auditory cortex (A1) exhibits laminar and cell-specific changes in the deaf","year":2017,"lang":"en","type":"article","venue":"Hearing Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research; National Institutes of Health; Virginia Commonwealth University","keywords":"Neuroscience; Excitatory postsynaptic potential; Dendritic spine; Auditory cortex; Sensory system; Biology; Pyramidal cell; Inhibitory postsynaptic potential; Hippocampus","score_opus":0.09838399951057962,"score_gpt":0.32526327047503634,"score_spread":0.2268792709644567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2724993147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99787134,0.00006804835,0.00001354293,0.001118133,0.000114151546,0.00026194807,0.000008243598,0.000008717169,0.000535873],"genre_scores_gemma":[0.9992389,0.0004667422,0.000005450198,0.000045154902,0.000083031184,0.000023035283,0.000002595852,0.0000068470263,0.00012825018],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986426,0.00023816126,0.00009493852,0.00034796091,0.00034905714,0.0003272406],"domain_scores_gemma":[0.99889266,0.0007819673,0.000032849384,0.00022358619,0.000023348553,0.000045598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009193667,0.000073468036,0.00009516328,0.000097378375,0.0005645277,0.0002523076,0.00019598748,0.000056858265,0.0000036119939],"category_scores_gemma":[0.00056463864,0.000056572208,0.000008435234,0.00012458084,0.00032214317,0.00013579272,0.00026369313,0.00049483695,0.0000074699838],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017531466,0.0001584533,0.044670034,0.00019966673,0.000001353508,0.00024931575,0.00044796674,0.000008717946,0.9434351,0.0013807379,0.0010430812,0.008230312],"study_design_scores_gemma":[0.0003065636,0.0001445272,0.98925203,0.000066625675,8.1571585e-7,0.00002178096,0.0000626249,0.0037306559,0.005105976,0.00033553253,0.00090027926,0.00007257609],"about_ca_topic_score_codex":0.00012524871,"about_ca_topic_score_gemma":0.00027854135,"teacher_disagreement_score":0.944582,"about_ca_system_score_codex":0.00008619886,"about_ca_system_score_gemma":0.00002176437,"threshold_uncertainty_score":0.43419477},"labels":[],"label_agreement":null},{"id":"W272866560","doi":"10.46867/ijcp.2014.27.02.02","title":"Behavioral Variability in the Service of Constancy","year":2014,"lang":"en","type":"article","venue":"International Journal of Comparative Psychology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; Alberta Innovates - Health Solutions","keywords":"Embodied cognition; Cybernetics; Adaptive behavior; Psychology; Organism; Stimulus (psychology); Cognitive psychology; Cognition; Moment (physics); Cognitive science; Computer science; Neuroscience; Artificial intelligence; Social psychology; Biology","score_opus":0.10332412811968589,"score_gpt":0.42570933865734734,"score_spread":0.32238521053766145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W272866560","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98154914,0.000004694691,0.005341628,0.004148539,0.0012696381,0.000058214413,0.0000061241826,0.0000019984748,0.0076200436],"genre_scores_gemma":[0.99747854,0.0000054333595,0.00014477853,0.002273104,0.00008654603,0.0000014905116,6.6395893e-7,0.0000020256755,0.0000074193454],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984668,0.0006764099,0.00040095765,0.00010636823,0.0002763553,0.00007313911],"domain_scores_gemma":[0.9985029,0.0007269261,0.00036161384,0.000103201455,0.00028709671,0.000018243698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080480735,0.000060714243,0.00016070619,0.00011050754,0.00001586268,0.000013689231,0.0005314121,0.000028937615,0.00006202137],"category_scores_gemma":[0.0001490399,0.000040521678,0.00005327481,0.00015116512,0.000109755456,0.0001101931,0.00002093624,0.00021343947,0.000006502785],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016399381,0.0026148835,0.04321964,0.0000093462495,0.00004300914,0.000073483105,0.0046370993,0.000754195,0.693483,0.24035934,0.0019746677,0.011191417],"study_design_scores_gemma":[0.007619629,0.0028893445,0.63292384,0.00013720496,0.000050302337,0.00253612,0.0007170105,0.01127165,0.054631744,0.2536783,0.033104394,0.00044049972],"about_ca_topic_score_codex":0.000006595802,"about_ca_topic_score_gemma":0.000021386471,"teacher_disagreement_score":0.6388512,"about_ca_system_score_codex":0.000018290642,"about_ca_system_score_gemma":0.000019282325,"threshold_uncertainty_score":0.1652426},"labels":[],"label_agreement":null},{"id":"W2729406224","doi":"10.1016/j.neuron.2017.06.021","title":"A Novel Neural Prediction Error Found in Anterior Cingulate Cortex Ensembles","year":2017,"lang":"en","type":"article","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":134,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Victoria","funders":"Canadian Institutes of Health Research","keywords":"Anterior cingulate cortex; Error-related negativity; Negativity effect; Mean squared prediction error; Cingulate cortex; Neuroscience; Outcome (game theory); Psychology; Task (project management); Local field potential; Representation (politics); Computer science; Cognitive psychology; Cognition; Machine learning; Mathematics; Central nervous system","score_opus":0.04850089943266758,"score_gpt":0.28821694288778443,"score_spread":0.23971604345511685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2729406224","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99551696,0.0000061017176,0.00008997993,0.0006496811,0.0021783495,0.00023526629,0.000019809004,0.00008339824,0.0012204516],"genre_scores_gemma":[0.9982807,0.000014021196,0.000018975978,0.00070523703,0.00013716836,0.000011261912,0.000001782056,0.000024750054,0.0008061036],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998701,0.00004498659,0.0002516279,0.0004960917,0.00021852826,0.00028780286],"domain_scores_gemma":[0.99917895,0.00006473898,0.00020374877,0.000466271,0.00002181326,0.00006445913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000098627854,0.00015283868,0.00016799601,0.000100321435,0.00037351216,0.00023107961,0.00029504154,0.00006095358,0.000014744771],"category_scores_gemma":[0.0005524866,0.000142031,0.000057015335,0.00009301654,0.00009691439,0.00048170006,0.00012023453,0.00022028571,0.00002292306],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000889071,0.000063318614,0.0039629145,0.000013781099,6.904651e-7,0.000063444306,0.000036228423,0.0001928976,0.9907259,0.00012863855,0.00003764351,0.0046856613],"study_design_scores_gemma":[0.0008598925,0.00025862354,0.8365955,0.00004301411,0.0000061207043,0.00010841916,0.000005032714,0.15172203,0.009565197,0.00013228714,0.0005615853,0.00014232095],"about_ca_topic_score_codex":0.00016081668,"about_ca_topic_score_gemma":0.00020031082,"teacher_disagreement_score":0.9811607,"about_ca_system_score_codex":0.000032032585,"about_ca_system_score_gemma":0.000018123606,"threshold_uncertainty_score":0.5791856},"labels":[],"label_agreement":null},{"id":"W2730888497","doi":"10.53846/goediss-2923","title":"Synchronization, Neuronal Excitability, and Information Flow in Networks of Neuronal Oscillators","year":2012,"lang":"en","type":"dissertation","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of California, San Diego; York University; University of Pittsburgh; Ludwig-Maximilians-Universität München; Radboud Universiteit; Princeton University","keywords":"Synchronization (alternating current); Neuroscience; Attractor; Neurophysiology; Biological neural network; Network dynamics; Computer science; Premovement neuronal activity; Physics; Topology (electrical circuits); Mathematics; Psychology","score_opus":0.008997607499674105,"score_gpt":0.22433178862105815,"score_spread":0.21533418112138406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2730888497","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99277186,0.000034192482,0.0007506199,0.00005931292,0.0017613,0.00040631476,0.000025532147,0.00004331233,0.0041475324],"genre_scores_gemma":[0.99873805,0.00013525618,0.000036205565,0.00025134717,0.0000808553,0.000014319395,0.00036921643,0.000020501537,0.00035426384],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99842024,0.0001002183,0.0005662325,0.0002974982,0.00035773966,0.0002580979],"domain_scores_gemma":[0.999164,0.00019926787,0.00028934726,0.0001790796,0.00008945505,0.00007889271],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017798714,0.00023296819,0.00025530005,0.00028130022,0.00007465934,0.00005742495,0.0001365011,0.00021770589,0.00014909194],"category_scores_gemma":[0.00034288815,0.0002180814,0.00005491833,0.00044677127,0.000060746177,0.0011453938,0.000046626854,0.00030691418,0.0000076218457],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002253741,0.0013425039,0.15530686,0.0049269767,0.000057068584,0.000011825479,0.004216582,0.1310136,0.07272659,0.09981576,0.0016968546,0.5266316],"study_design_scores_gemma":[0.00046514295,0.0001267738,0.6997517,0.00006222494,0.00002140691,0.000008138849,0.00006242137,0.29636708,0.0011564663,0.00047448106,0.0011314473,0.00037274003],"about_ca_topic_score_codex":0.00003456749,"about_ca_topic_score_gemma":0.00019636947,"teacher_disagreement_score":0.5444448,"about_ca_system_score_codex":0.00004354656,"about_ca_system_score_gemma":0.00006443031,"threshold_uncertainty_score":0.8893102},"labels":[],"label_agreement":null},{"id":"W2732631268","doi":"10.1038/ncomms15801","title":"Aging affects the balance of neural entrainment and top-down neural modulation in the listening brain","year":2017,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":137,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Brain Institute; Western University","funders":"Max-Planck-Gesellschaft","keywords":"Entrainment (biomusicology); Active listening; Audiology; Psychology; Electroencephalography; Rhythm; Sensory system; Neural activity; Neural correlates of consciousness; Neuroscience; Cognition; Brain activity and meditation; Cognitive psychology; Communication; Medicine; Physics; Acoustics","score_opus":0.026503262641042403,"score_gpt":0.3073549557462233,"score_spread":0.2808516931051809,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2732631268","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92791647,0.00032970464,0.000026448508,0.069888555,0.000192034,0.00033967264,0.0000081952385,0.0000148036725,0.0012841171],"genre_scores_gemma":[0.997123,0.000098934805,0.00007395982,0.0026073714,0.000030258803,0.000021501251,0.0000056915933,0.0000059582253,0.000033340515],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990814,0.00033474545,0.00012786727,0.0001565078,0.00017167066,0.00012784649],"domain_scores_gemma":[0.99729913,0.0010795188,0.0001793504,0.0014046944,0.000020221676,0.000017069438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004064973,0.00008173875,0.000082930026,0.00003607028,0.0008524505,0.00015623054,0.0011613478,0.000059470894,0.0000013266831],"category_scores_gemma":[0.00092362077,0.000050243427,0.000035588233,0.000118142896,0.0002493554,0.00021378884,0.0003119033,0.00062490406,3.981158e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047069083,0.00023793086,0.08942327,0.000049976687,0.000011833895,0.000010697379,0.0055241026,0.0013445867,0.6437456,0.19924134,0.00096033514,0.059403274],"study_design_scores_gemma":[0.00029893735,0.000034587327,0.5548825,0.000030484267,0.000008339402,0.00003142086,0.00013104301,0.43954036,0.0015403866,0.00089728297,0.0025060556,0.000098584336],"about_ca_topic_score_codex":0.000031221676,"about_ca_topic_score_gemma":0.00019706844,"teacher_disagreement_score":0.6422052,"about_ca_system_score_codex":0.00001601555,"about_ca_system_score_gemma":0.000007666732,"threshold_uncertainty_score":0.6556446},"labels":[],"label_agreement":null},{"id":"W2732682743","doi":"10.1073/pnas.1701672114","title":"Coherent alpha oscillations link current and future receptive fields during saccades","year":2017,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Receptive field; Neuroscience; Stimulus (psychology); Saccade; Perception; Eye movement; Surround suppression; Computer science; Psychology; Visual perception; Communication; Physics; Cognitive psychology","score_opus":0.06469700434670779,"score_gpt":0.32890343240028275,"score_spread":0.26420642805357497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2732682743","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98227316,0.000063034524,5.149916e-7,0.013974647,0.00012898432,0.00014618011,0.0000133465965,0.000008875917,0.003391262],"genre_scores_gemma":[0.9990887,0.00028093462,0.0000886086,0.00011715067,0.0002781248,0.0000053217123,3.2703618e-8,0.0000023399307,0.00013875935],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99885976,0.000005463354,0.00017713277,0.0002477947,0.0006010273,0.00010882831],"domain_scores_gemma":[0.99934524,0.000081125174,0.0004268073,0.000011315101,0.00010563147,0.000029869336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032497058,0.00007388319,0.00009153136,0.00007705151,0.00092007313,0.00010406861,0.0005593077,0.000055526983,0.000010154338],"category_scores_gemma":[0.0006845524,0.00004766135,0.000043480683,0.00017430155,0.00068752957,0.0005797422,0.00020231721,0.00018748525,6.9126156e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001772577,0.000026991836,0.008821383,0.000064899745,0.0000034802576,5.9087895e-9,0.00022788427,0.000026887195,0.89231193,0.088802546,0.00023780235,0.009458468],"study_design_scores_gemma":[0.00022941154,0.00005388164,0.47497424,0.000106942636,0.000009180818,0.000010536364,0.00009794741,0.002597168,0.4598667,0.060431685,0.0014996512,0.00012263385],"about_ca_topic_score_codex":0.0000019381368,"about_ca_topic_score_gemma":1.2409198e-7,"teacher_disagreement_score":0.46615288,"about_ca_system_score_codex":0.0000163396,"about_ca_system_score_gemma":0.000012125103,"threshold_uncertainty_score":0.70765513},"labels":[],"label_agreement":null},{"id":"W2734733798","doi":"10.1101/127126","title":"Gamma oscillations in the rat ventral striatum originate in the piriform cortex","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Dartmouth College","keywords":"Local field potential; Piriform cortex; Neuroscience; Ventral striatum; Striatum; Biology; Physics; Hippocampus; Dopamine","score_opus":0.030815589922932714,"score_gpt":0.2549288232803686,"score_spread":0.22411323335743588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2734733798","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929598,0.00008332223,0.00006914098,0.0025121265,0.0028025047,0.0012458693,0.00012966545,0.000083945946,0.000113607995],"genre_scores_gemma":[0.9982379,0.00020977922,0.000038975995,0.0009135149,0.00034534946,0.00019420344,4.1749078e-7,0.00004445908,0.000015406351],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9970092,0.00043690237,0.00047980633,0.00087225885,0.00059233664,0.00060946954],"domain_scores_gemma":[0.99737406,0.00032558572,0.00045448085,0.0016820647,0.00008722813,0.00007657201],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013213463,0.00040936217,0.00034378355,0.00024443766,0.0004545986,0.00078429055,0.0016884286,0.0002923314,0.000014801088],"category_scores_gemma":[0.00083964865,0.000279785,0.0001437647,0.000587599,0.00019756252,0.00027324352,0.0002703112,0.0014239651,0.0000456677],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000100443955,0.00045415087,0.020701224,0.0001932084,0.000018843224,0.00061579584,0.00014555998,0.00051426556,0.95062876,0.025506493,0.0011008382,0.000020403299],"study_design_scores_gemma":[0.0015248917,0.0001537205,0.90132856,0.00044246766,0.00008149938,3.6196363e-7,0.000022416249,0.010263666,0.044628266,0.00025794178,0.040033087,0.0012631215],"about_ca_topic_score_codex":0.00012132122,"about_ca_topic_score_gemma":0.00006556205,"teacher_disagreement_score":0.9060005,"about_ca_system_score_codex":0.00021130044,"about_ca_system_score_gemma":0.00037914346,"threshold_uncertainty_score":0.9999654},"labels":[],"label_agreement":null},{"id":"W2734864290","doi":"10.1167/17.10.952","title":"Attentional control settings are stored in activated long term memory","year":2017,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Working memory; Task (project management); Cognitive psychology; Intrusion; Perception; Set (abstract data type); Psychology; Cognition; Computer science; Neuroscience","score_opus":0.02053543994183134,"score_gpt":0.2955424403831815,"score_spread":0.2750070004413502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2734864290","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959071,0.00001062441,0.0001096761,0.002964216,0.00077278656,0.00007603688,0.000004119519,0.000005716162,0.00014970139],"genre_scores_gemma":[0.9991712,0.000015386331,0.000020998325,0.00040209328,0.00015885367,5.330273e-7,4.292233e-7,0.000007973512,0.00022253214],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99903995,0.000076261,0.00028086905,0.00013633177,0.000337757,0.00012883451],"domain_scores_gemma":[0.99875927,0.00011171511,0.0008416307,0.0001515443,0.00007640696,0.000059417624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035251168,0.000078282654,0.00016310277,0.00012791972,0.00022250123,0.00013445479,0.00025220992,0.00004848496,0.00003297638],"category_scores_gemma":[0.00070635707,0.000059263777,0.00009217094,0.00004733144,0.000049473958,0.00062530744,0.000041353673,0.0002708157,0.000007173547],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023009017,0.00008621218,0.021192523,0.0000081994685,0.0000029435391,0.00018950093,0.000014570824,0.00006762741,0.9698671,0.000015618074,0.00035353485,0.007972093],"study_design_scores_gemma":[0.0017582386,0.00017669835,0.96785957,0.00021672055,0.000006837848,0.0001250294,0.000010337446,0.0015228366,0.028008016,0.0001567844,0.00008785934,0.00007108291],"about_ca_topic_score_codex":0.0000029712746,"about_ca_topic_score_gemma":0.000005058832,"teacher_disagreement_score":0.946667,"about_ca_system_score_codex":0.000063226835,"about_ca_system_score_gemma":0.00002350116,"threshold_uncertainty_score":0.24167067},"labels":[],"label_agreement":null},{"id":"W2734913329","doi":"10.1101/164731","title":"Imaging of neural oscillations with embedded inferential and group prevalence statistics","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Magnetoencephalography; Electroencephalography; SIGNAL (programming language); Pattern recognition (psychology); Modulation (music); Physics; Brain activity and meditation; Noise (video); Computer science; Spectral density; Artificial intelligence; Neuroscience; Psychology; Acoustics; Image (mathematics); Telecommunications","score_opus":0.01839925481539263,"score_gpt":0.2382913539516575,"score_spread":0.21989209913626487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2734913329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9865952,0.00011076533,0.010496811,0.00011179883,0.00097349484,0.0005597072,0.0010017905,0.0001370158,0.000013393954],"genre_scores_gemma":[0.99657995,0.00020265805,0.0028933438,0.000081322105,0.0001341432,0.000038555747,4.0416091e-7,0.0000618309,0.000007809997],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9978961,0.00012159119,0.00036968922,0.00087060774,0.00040415252,0.00033786954],"domain_scores_gemma":[0.99782735,0.00014661082,0.0006804208,0.00093761395,0.00025519202,0.00015283521],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019932064,0.0003691912,0.0003713172,0.00017469682,0.00032476135,0.0003560613,0.00042437695,0.00013297788,0.000018116936],"category_scores_gemma":[0.00052076124,0.00034596102,0.00005148967,0.00014412423,0.00041318237,0.00028834358,0.00048192617,0.0004838174,0.0000035242847],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005484112,0.0000739829,0.028715145,0.0006856647,0.00001905871,0.000043722957,0.000010195463,0.00017758369,0.9658383,0.004316848,0.00004933508,0.000015335458],"study_design_scores_gemma":[0.0013310225,0.00025799606,0.6854471,0.00094098574,0.00033299532,3.4210495e-7,0.0000027530982,0.10766808,0.2021611,0.00008361793,0.00030926897,0.0014647644],"about_ca_topic_score_codex":0.000033560107,"about_ca_topic_score_gemma":0.000005059308,"teacher_disagreement_score":0.7636772,"about_ca_system_score_codex":0.000051175542,"about_ca_system_score_gemma":0.00017270521,"threshold_uncertainty_score":0.99989927},"labels":[],"label_agreement":null},{"id":"W2735264703","doi":"10.1101/161331","title":"Relevance learning via inhibitory plasticity and its implications for schizophrenia","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Canadian Institute for Advanced Research","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Neuroscience; Inhibitory postsynaptic potential; Excitatory postsynaptic potential; Schizophrenia (object-oriented programming); Relevance (law); Psychology; Associative learning; Neuroplasticity; Synaptic plasticity; Biological neural network; Computer science; Biology","score_opus":0.027381918804557395,"score_gpt":0.2479495517775209,"score_spread":0.2205676329729635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735264703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.988046,0.0002978262,0.0076126633,0.0006625311,0.0015327598,0.001090329,0.00034161596,0.0004057727,0.000010488899],"genre_scores_gemma":[0.9974767,0.00038225052,0.000926739,0.0001679447,0.0005599179,0.00035600702,2.8548635e-7,0.000103347855,0.000026805046],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975365,0.00010226153,0.000373494,0.0013126582,0.00020388633,0.00047124302],"domain_scores_gemma":[0.9977469,0.00044674374,0.00061384257,0.00068248995,0.0002851733,0.00022484735],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028235436,0.00043219212,0.00040068157,0.00016710871,0.0010155874,0.00039395783,0.00051354774,0.00037221095,0.000004181029],"category_scores_gemma":[0.0032410198,0.00046947287,0.00011448275,0.00014354434,0.00015256963,0.00028264802,0.0005412308,0.0008950525,0.000023315099],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058563,0.000040486117,0.0004977116,0.00022396714,0.0000116917845,0.0000040183395,0.00000203474,0.00016130916,0.9952843,0.0036243394,0.00007352529,0.000018006456],"study_design_scores_gemma":[0.0010419589,0.00016687615,0.0911302,0.0004385302,0.00011455544,1.2566024e-7,4.1151728e-7,0.028002122,0.86987716,0.00016182188,0.007837721,0.0012285098],"about_ca_topic_score_codex":0.0000064277424,"about_ca_topic_score_gemma":0.0000018096815,"teacher_disagreement_score":0.12540717,"about_ca_system_score_codex":0.00012450507,"about_ca_system_score_gemma":0.00022365741,"threshold_uncertainty_score":0.9997757},"labels":[],"label_agreement":null},{"id":"W2735424821","doi":"10.1101/163261","title":"Noise Gated by Dendrosomatic Interactions Increases Information Transmission","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Soma; Noise (video); Dendrite (mathematics); Compartment (ship); Neuroscience; Transmission (telecommunications); Dendritic spike; Refractory period; Computer science; Physics; Biological system; Biology; Mathematics; Medicine; Telecommunications; Artificial intelligence; Inhibitory postsynaptic potential","score_opus":0.016476335326533774,"score_gpt":0.23331404008491122,"score_spread":0.21683770475837744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735424821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889054,0.00009633989,0.006284527,0.0005449728,0.0019000984,0.0008987372,0.0006695588,0.00062946754,0.000070911105],"genre_scores_gemma":[0.9983257,0.00030164132,0.0005204336,0.00050562236,0.00013846766,0.00011271506,0.0000029554799,0.00006527145,0.000027164675],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99763614,0.00017925556,0.0006048805,0.0006837652,0.00046646816,0.00042950525],"domain_scores_gemma":[0.99742115,0.00015214496,0.0007815518,0.001134553,0.00022100225,0.0002895802],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023787061,0.0004941363,0.00041197584,0.00030230382,0.0006249176,0.00088634004,0.0007140524,0.0003243567,0.00008806491],"category_scores_gemma":[0.00086929335,0.00049065147,0.00017197663,0.0002469931,0.00012759172,0.0013003573,0.00029922262,0.0008070549,0.00022818347],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039375154,0.00013895422,0.0002129502,0.00025785808,0.000017186147,0.0000144978485,0.0000066499633,0.00008149196,0.9973813,0.00014922845,0.0016731158,0.000027333217],"study_design_scores_gemma":[0.00064105174,0.00006764654,0.0070935464,0.0007888865,0.0001082751,1.5899683e-7,0.0000016334768,0.023005644,0.927936,0.000010643504,0.039438833,0.0009076516],"about_ca_topic_score_codex":0.00015021951,"about_ca_topic_score_gemma":0.0000015704097,"teacher_disagreement_score":0.06944533,"about_ca_system_score_codex":0.00022159927,"about_ca_system_score_gemma":0.00024825282,"threshold_uncertainty_score":0.9997545},"labels":[],"label_agreement":null},{"id":"W2735913679","doi":"10.1101/164236","title":"Complexity-Entropy maps as a tool for the characterization of the clinical electrophysiological evolution of patients under pharmacological treatmentwith psychotropic drugs","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Electroencephalography; Entropy (arrow of time); Permutation (music); Computer science; Artificial intelligence; Machine learning; Clinical Practice; Psychology; Neuroscience; Medicine","score_opus":0.046180119525605655,"score_gpt":0.2940067175272861,"score_spread":0.24782659800168041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735913679","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99259764,0.000021594851,0.0020291323,0.000496659,0.002051173,0.002154624,0.0005903375,0.00005655752,0.0000022599754],"genre_scores_gemma":[0.99872446,0.0002172113,0.000129448,0.00037241133,0.00027038314,0.00023796632,0.0000020819052,0.00003540046,0.00001063899],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9971947,0.0005337118,0.0007039439,0.0008018571,0.00041708339,0.00034872247],"domain_scores_gemma":[0.9968612,0.0003682477,0.0014079402,0.0009426152,0.00035022487,0.000069782385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003562441,0.00035084828,0.00052405376,0.000060360235,0.00045986127,0.00009447087,0.00091384444,0.00032306247,0.000020704145],"category_scores_gemma":[0.0006206654,0.0002024609,0.0003865725,0.00019677362,0.0006250671,0.00012290275,0.00036112647,0.0005779339,0.00000588336],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060049834,0.0006529032,0.005693157,0.000060840463,0.000076780794,6.013597e-7,0.00000222498,0.00002680671,0.9818856,0.010953029,0.00003756275,0.000009967465],"study_design_scores_gemma":[0.0014939675,0.00072701235,0.82070214,0.00007351786,0.0002456101,1.04901146e-8,6.703629e-7,0.0022654887,0.17340942,0.00035576726,0.00044891593,0.0002774921],"about_ca_topic_score_codex":0.00001234074,"about_ca_topic_score_gemma":2.9345696e-7,"teacher_disagreement_score":0.815009,"about_ca_system_score_codex":0.00020173973,"about_ca_system_score_gemma":0.00025331334,"threshold_uncertainty_score":0.82561153},"labels":[],"label_agreement":null},{"id":"W2735976292","doi":"10.1101/164954","title":"Neural network models of the tactile system develop first-order units with spatially complex receptive fields","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Actua; Western University","funders":"Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Receptive field; Computer science; Artificial neural network; Noise (video); Artificial intelligence; Complex system; Order (exchange); Field (mathematics); Mathematics","score_opus":0.04301624024107136,"score_gpt":0.22111984244421154,"score_spread":0.17810360220314017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735976292","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9861322,0.00005815604,0.006960486,0.0006891354,0.0036966002,0.0016122514,0.00032735095,0.00030967046,0.00021411556],"genre_scores_gemma":[0.99799615,0.00004541977,0.0010709221,0.00030993577,0.0003453457,0.000108749635,3.68428e-7,0.00009831915,0.000024795823],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971056,0.00027985824,0.0005071032,0.0009825986,0.0005817198,0.0005431349],"domain_scores_gemma":[0.9957945,0.00020303465,0.0011194318,0.0017205573,0.001019908,0.0001425862],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00031802608,0.0005356676,0.000593294,0.000092284325,0.00074679835,0.000261183,0.0013056824,0.00039751493,0.000016046306],"category_scores_gemma":[0.0004567031,0.00039774246,0.00009872122,0.00079800625,0.000279726,0.00024647624,0.0008998416,0.00091167766,0.0000077246905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064509147,0.00026377515,0.008095799,0.0022330568,0.00028163454,0.00016783805,0.0001229343,0.56711936,0.400027,0.018079193,0.0029420196,0.000022273216],"study_design_scores_gemma":[0.0016946133,0.00042373195,0.084682606,0.0036205386,0.00034409636,6.35762e-7,0.000013878324,0.7458866,0.15625341,0.00004210767,0.0044973637,0.0025403907],"about_ca_topic_score_codex":0.00020129552,"about_ca_topic_score_gemma":0.000083740015,"teacher_disagreement_score":0.24377361,"about_ca_system_score_codex":0.00018065466,"about_ca_system_score_gemma":0.0007198063,"threshold_uncertainty_score":0.9998475},"labels":[],"label_agreement":null},{"id":"W2736576881","doi":"10.1016/j.neuroscience.2017.07.037","title":"State-dependent alpha peak frequency shifts: Experimental evidence, potential mechanisms and functional implications","year":2017,"lang":"en","type":"review","venue":"Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":238,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Alpha (finance); Neuroscience; Physics; Psychology; Developmental psychology","score_opus":0.17302123687037757,"score_gpt":0.36961530199783516,"score_spread":0.19659406512745758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2736576881","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005449965,0.9804726,0.005064017,0.0004470427,0.008689545,0.0024295726,0.00048356943,0.00035508655,0.0015135303],"genre_scores_gemma":[0.012368617,0.9839448,0.00008071173,0.00068331684,0.00017083457,0.00029417628,0.000012938845,0.00007342429,0.0023711915],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99543875,0.00030173353,0.0006640062,0.0020468119,0.0009009993,0.0006477219],"domain_scores_gemma":[0.9975276,0.00028589737,0.0007377299,0.0010763777,0.000053066655,0.0003193265],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00037351786,0.0006074714,0.0007939394,0.00031233055,0.0015701223,0.0009364384,0.001212861,0.0001851797,0.000065020446],"category_scores_gemma":[0.000883632,0.00051033887,0.0003071598,0.00038985076,0.0006176032,0.0011867494,0.0006604262,0.0006127725,0.00009951004],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026244825,0.00040090358,0.000008752982,0.0013546849,0.000009151,0.00024594573,0.000046309604,0.000027419703,0.36774617,0.030932344,0.0005583587,0.5986437],"study_design_scores_gemma":[0.00094883126,0.0018179746,0.001837444,0.00579311,0.00054544164,0.00451601,0.000025827509,0.0016823248,0.0048216423,0.015372233,0.95880675,0.0038323961],"about_ca_topic_score_codex":0.00002433174,"about_ca_topic_score_gemma":0.0000051578627,"teacher_disagreement_score":0.9582484,"about_ca_system_score_codex":0.00015185645,"about_ca_system_score_gemma":0.00037656547,"threshold_uncertainty_score":0.9997348},"labels":[],"label_agreement":null},{"id":"W2737281012","doi":"10.1016/j.neuron.2017.06.045","title":"Parallel Inhibitory and Excitatory Trigemino-Facial Feedback Circuitry for Reflexive Vibrissa Movement","year":2017,"lang":"en","type":"article","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; Canadian Institutes of Health Research; National Science Foundation","keywords":"Neuroscience; Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Sensory system; Anterograde tracing; Electrophysiology; Optogenetics; Facilitation; Thalamus; Psychology; Biological neural network; Communication; Nucleus","score_opus":0.054951066917599,"score_gpt":0.29731429305009915,"score_spread":0.24236322613250016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2737281012","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991411,0.00002160486,0.00026780608,0.00094340066,0.0015499119,0.0005773265,0.000044388613,0.00006912142,0.0051154452],"genre_scores_gemma":[0.994603,0.00006582335,0.00004891891,0.0026192672,0.00043113195,0.000052814055,0.0000027968576,0.000028973745,0.0021472892],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99868774,0.000046839534,0.00019561841,0.0005596548,0.00021261147,0.00029750544],"domain_scores_gemma":[0.99918395,0.00013762084,0.00019202578,0.00034931605,0.000027162985,0.00010989265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000107964544,0.00017193788,0.00016583748,0.000051845003,0.00069631863,0.0001905699,0.00024609602,0.00007852378,0.000013791074],"category_scores_gemma":[0.00036080313,0.00016466912,0.00007456782,0.000028584034,0.00018613039,0.00030305714,0.00012424537,0.00016334747,0.000020433423],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022323112,0.0000636665,0.0006138768,0.000047160534,0.0000033187855,0.000023985205,0.00006732976,0.000013003966,0.9615543,0.003627425,0.0035032167,0.030259503],"study_design_scores_gemma":[0.010561862,0.0032906036,0.26979026,0.0001367349,0.00010075663,0.00005954093,0.00009847659,0.008681834,0.4457366,0.05818615,0.20147687,0.0018803158],"about_ca_topic_score_codex":0.000010929321,"about_ca_topic_score_gemma":0.000006906752,"teacher_disagreement_score":0.5158177,"about_ca_system_score_codex":0.00003327122,"about_ca_system_score_gemma":0.000026825455,"threshold_uncertainty_score":0.67150116},"labels":[],"label_agreement":null},{"id":"W2737825378","doi":"10.1523/eneuro.0170-17.2017","title":"Beyond the Status Quo: A Role for Beta Oscillations in Endogenous Content (Re)Activation","year":2017,"lang":"en","type":"review","venue":"eNeuro","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":644,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Columbia College","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Deutsche Forschungsgemeinschaft","keywords":"Neuroscience; Endogeny; BETA (programming language); Beta Rhythm; Status quo; Brain activity and meditation; Set (abstract data type); Psychology; Cognition; Electroencephalography; Cognitive psychology; Computer science; Biology; Political science","score_opus":0.29061255306104145,"score_gpt":0.35195248497905945,"score_spread":0.06133993191801801,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2737825378","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008199269,0.97383845,0.00018802681,0.0010032264,0.0034404716,0.007057328,0.0009491161,0.00013860142,0.0125648575],"genre_scores_gemma":[0.0033320417,0.9938127,0.000014388063,0.00053467706,0.00022876008,0.00045436536,0.00009315928,0.00006304002,0.0014668654],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980912,0.00023455916,0.0004320699,0.00056440034,0.0002375441,0.00044020795],"domain_scores_gemma":[0.9973751,0.0013859596,0.00049341953,0.00063474744,0.00003979269,0.00007102849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019398723,0.0002861596,0.0005702021,0.00015571271,0.00049404724,0.00018264832,0.00043848468,0.00012184154,0.000012848181],"category_scores_gemma":[0.0013399998,0.00019128667,0.00030230073,0.00018414122,0.00007348549,0.00015804602,0.000099567034,0.0003434033,0.000023870756],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014880834,0.00006957474,0.000010099307,0.00061705214,0.000010960383,0.000010380193,0.00008376343,0.000038068723,0.002725855,0.0038266464,0.0002970112,0.9922957],"study_design_scores_gemma":[0.00019214777,0.00008680724,0.000043003707,0.00029826153,0.00006607137,0.000020484835,0.0000076018882,0.0002781906,0.00020484888,0.0006266278,0.997978,0.00019798038],"about_ca_topic_score_codex":0.00008544496,"about_ca_topic_score_gemma":0.000101711645,"teacher_disagreement_score":0.99768096,"about_ca_system_score_codex":0.00012758547,"about_ca_system_score_gemma":0.00018285443,"threshold_uncertainty_score":0.78004444},"labels":[],"label_agreement":null},{"id":"W2738430119","doi":"10.1038/s41598-017-06208-w","title":"Network Inference and Maximum Entropy Estimation on Information Diagrams","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Grantová Agentura České Republiky; Ministerstvo Školství, Mládeže a Tělovýchovy; Agentura Pro Zdravotnický Výzkum České Republiky; Deutscher Akademischer Austauschdienst","keywords":"Mutual information; Computer science; Inference; Bivariate analysis; Entropy (arrow of time); Principle of maximum entropy; Random variable; Univariate; Parametric statistics; Nonparametric statistics; Information theory; Data mining; Algorithm; Theoretical computer science; Mathematics; Machine learning; Artificial intelligence; Econometrics; Multivariate statistics; Statistics","score_opus":0.02445947872823749,"score_gpt":0.26316212296910096,"score_spread":0.23870264424086346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2738430119","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98195213,0.0000033911701,0.0030409878,0.0006572283,0.010191478,0.00029452567,0.0000020033178,0.00007302385,0.003785207],"genre_scores_gemma":[0.998974,0.0000045290244,0.00017538636,0.00022822351,0.000055291806,0.000011451482,0.000016915385,0.000004139797,0.0005300614],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987848,0.000026046113,0.0002539704,0.00036720777,0.00035870672,0.00020931255],"domain_scores_gemma":[0.9986772,0.00006240813,0.00043946438,0.0006984408,0.00004802676,0.00007448912],"candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0005143109,0.00009518875,0.000085565836,0.00006413663,0.001363058,0.0018491143,0.00012766272,0.000040163595,0.000018972145],"category_scores_gemma":[0.001676077,0.000078553036,0.00002539205,0.00010192133,0.00023375408,0.0012731189,0.00009798633,0.00009207454,0.000056995596],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001224873,0.00018481514,0.0407443,0.00011265906,0.000008549352,0.00040893964,0.000693987,0.019759426,0.1664683,0.0794134,0.029293923,0.6627892],"study_design_scores_gemma":[0.0004161238,0.00023663076,0.07450546,0.00013702466,0.000018602454,0.00028174193,0.000016725682,0.20577632,0.04684083,0.62250036,0.0487119,0.00055825774],"about_ca_topic_score_codex":0.000011838342,"about_ca_topic_score_gemma":0.0000058553164,"teacher_disagreement_score":0.66223097,"about_ca_system_score_codex":0.00002148274,"about_ca_system_score_gemma":0.000027327875,"threshold_uncertainty_score":0.99993706},"labels":[],"label_agreement":null},{"id":"W2739263340","doi":"","title":"Transcranial direct current stimulation applied to primary motor cortex does not enhance the learning benefits of self-controlled KR schedules","year":2015,"lang":"en","type":"article","venue":"Journal of Exercise, Movement, and Sport","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Transcranial direct-current stimulation; Primary motor cortex; Motor learning; Psychology; Motor cortex; Stimulation; Audiology; Brain stimulation; Knowledge of results; Transcranial magnetic stimulation; Neuroscience; Task (project management); Medicine","score_opus":0.017748843960492613,"score_gpt":0.2550355683889133,"score_spread":0.23728672442842066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2739263340","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977392,0.00018074906,0.00036136154,0.00015395478,0.00067231595,0.00056128064,0.000009285564,0.000015405985,0.0003064592],"genre_scores_gemma":[0.9983139,0.00091823627,0.00015016344,0.00024563432,0.00018007593,0.000012456589,0.0000017812232,0.0000133490485,0.00016438143],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998358,0.000032171283,0.0006005253,0.00021325889,0.00062227296,0.00017375237],"domain_scores_gemma":[0.99890333,0.00009587108,0.0005833719,0.00011221995,0.00016831384,0.00013687213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007415234,0.0001564677,0.00046289415,0.00012465291,0.000119945886,0.000052008505,0.00016064121,0.000038219972,0.000007343678],"category_scores_gemma":[0.00008247978,0.000090490146,0.000121195306,0.00014674915,0.00003558822,0.0001852104,0.000029262123,0.00022891123,0.0000012623517],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008909061,0.00058013404,0.009015164,0.00011630494,0.000042148025,0.0000094566485,0.0011927936,0.009012804,0.92909235,0.0011821651,0.00007085421,0.040776778],"study_design_scores_gemma":[0.020185962,0.0032190874,0.7748493,0.0007634012,0.00073749135,0.000021153981,0.00074569235,0.01670573,0.17762196,0.0018077373,0.0023948571,0.0009476056],"about_ca_topic_score_codex":0.0000070670194,"about_ca_topic_score_gemma":0.0000034909312,"teacher_disagreement_score":0.76583415,"about_ca_system_score_codex":0.0000416595,"about_ca_system_score_gemma":0.00006657718,"threshold_uncertainty_score":0.3690081},"labels":[],"label_agreement":null},{"id":"W2740036475","doi":"10.1007/s10701-024-00791-5","title":"Bayes Keeps Boltzmann Brains at Bay","year":2024,"lang":"en","type":"article","venue":"Foundations of Physics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Boltzmann constant; Boltzmann machine; Bayes' theorem; Argumentation theory; Appeal; Bayesian probability; Bay; Computer science; Statistical physics; Psychology; Philosophy; Physics; Artificial intelligence; Epistemology; Geology; Oceanography; Deep learning; Thermodynamics","score_opus":0.034662637021530815,"score_gpt":0.28777397766061996,"score_spread":0.25311134063908913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2740036475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94268066,0.000054426728,0.02374881,0.002434612,0.0026537064,0.00032533478,0.00022093984,0.0003650482,0.027516445],"genre_scores_gemma":[0.9939389,0.00002270817,0.00013693402,0.00022139518,0.00020452209,0.0000101389005,0.00004016147,0.000018153476,0.005407082],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992554,0.000028647202,0.00014438725,0.00025898014,0.00018328147,0.00012925852],"domain_scores_gemma":[0.9994203,0.00026121398,0.00004128272,0.0002123479,0.000032194832,0.00003265769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005337533,0.00008739213,0.000085760614,0.000054544045,0.00016771627,0.00008402168,0.00013018525,0.00002581538,0.0001574892],"category_scores_gemma":[0.000112998336,0.000080945494,0.00009033354,0.000398354,0.0000979391,0.000313699,0.00007498642,0.00008639383,0.00040662402],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005310479,0.000065955996,0.00007471663,0.000050510873,0.00000794186,0.0000035676194,0.00014938947,0.00034211884,0.5876312,0.3915779,0.0041968008,0.015894566],"study_design_scores_gemma":[0.00029012433,0.00022577668,0.0015863469,0.000110938,0.000057331592,0.000020948539,0.000034230794,0.122232065,0.4640371,0.1557688,0.25518546,0.00045090288],"about_ca_topic_score_codex":0.0000069122916,"about_ca_topic_score_gemma":0.000012460517,"teacher_disagreement_score":0.25098863,"about_ca_system_score_codex":0.00004819304,"about_ca_system_score_gemma":0.000039036335,"threshold_uncertainty_score":0.5226465},"labels":[],"label_agreement":null},{"id":"W2740321704","doi":"10.1523/jneurosci.3689-16.2017","title":"Segregation of Visual Response Properties in the Mouse Superior Colliculus and Their Modulation during Locomotion","year":2017,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":104,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Particle Physics","funders":"National Eye Institute; National Institutes of Health; Stryker","keywords":"Superior colliculus; Neuroscience; Inferior colliculus; Somatosensory system; Visual cortex; Retina; Biology; Chemistry; Nucleus","score_opus":0.04535948889649796,"score_gpt":0.27421260444115325,"score_spread":0.2288531155446553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2740321704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99810004,0.000005744683,0.00008810915,0.0014508025,0.00020012406,0.00014296071,0.0000017680959,0.0000035376183,0.0000069064204],"genre_scores_gemma":[0.9997151,0.000042524487,0.000009077725,0.00014695403,0.000023460232,0.0000017039678,3.698225e-8,0.0000046165824,0.000056549823],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99890643,0.00026508464,0.00027520183,0.00014744986,0.00029401638,0.00011182174],"domain_scores_gemma":[0.9992059,0.0000978059,0.00044170496,0.00016242207,0.0000623665,0.00002982373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062736584,0.00007633452,0.000113046925,0.00012775772,0.0003748391,0.00018599642,0.00031808414,0.000024133655,4.7343607e-7],"category_scores_gemma":[0.0018122945,0.000043429696,0.000035900914,0.0001431656,0.00025945797,0.001116626,0.000056809862,0.00014044656,1.8110735e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003642866,0.00006397783,0.0012215445,0.000009317972,1.7627292e-7,0.000012076607,0.00036062923,0.0007017157,0.9964407,0.000052986637,9.819689e-7,0.0007715687],"study_design_scores_gemma":[0.0003157321,0.00046110814,0.49837914,0.000030347725,0.000001615524,0.00026039995,0.00008628398,0.053696122,0.44659346,0.00010856472,0.000019834319,0.00004739279],"about_ca_topic_score_codex":0.000006920656,"about_ca_topic_score_gemma":0.0000046385217,"teacher_disagreement_score":0.54984725,"about_ca_system_score_codex":0.000026440215,"about_ca_system_score_gemma":0.000033692115,"threshold_uncertainty_score":0.2882997},"labels":[],"label_agreement":null},{"id":"W2740326122","doi":"10.1101/170878","title":"Estimating Excitatory and Inhibitory Synaptic Conductances from Spike Trains using a Recursive Bayesian Approach","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Spike (software development); Computer science; Excitatory postsynaptic potential; Spike train; Algorithm; Inhibitory postsynaptic potential; Kalman filter; Bayesian inference; Gaussian; Inference; Artificial intelligence; Bayesian probability; Neuroscience; Physics; Biology","score_opus":0.04179489364771626,"score_gpt":0.2506750439102306,"score_spread":0.20888015026251433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2740326122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98424387,0.0006775459,0.009861707,0.000104794,0.0034879565,0.00085410656,0.00041604106,0.00031560712,0.000038398943],"genre_scores_gemma":[0.9708774,0.000080978105,0.027554046,0.00029128644,0.0009514998,0.000092254624,5.9350293e-7,0.00014852661,0.000003423083],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9959093,0.0003070328,0.0005943102,0.0020124828,0.0005136829,0.0006632071],"domain_scores_gemma":[0.99687475,0.0002521018,0.001017691,0.0013323799,0.00017769795,0.00034537836],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004907739,0.0007402299,0.0007697606,0.00027536714,0.00082822685,0.0007630944,0.00073834683,0.00056937966,0.000013157184],"category_scores_gemma":[0.00124416,0.00078379526,0.00016049559,0.00021038091,0.0006432958,0.00053800194,0.0006080806,0.0011977974,0.000009012981],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026836522,0.00008665379,0.0007069708,0.00031152635,0.000058796755,0.000118819065,0.000047069618,0.00036500185,0.9974749,0.0007574784,0.00003657675,0.0000093880835],"study_design_scores_gemma":[0.0022305415,0.00025456876,0.022823883,0.0035157225,0.0006752698,0.0000010899166,0.00006267347,0.601771,0.36285493,0.00066271576,0.00049117004,0.0046564424],"about_ca_topic_score_codex":0.000119668686,"about_ca_topic_score_gemma":0.0000028945735,"teacher_disagreement_score":0.63461995,"about_ca_system_score_codex":0.00027571124,"about_ca_system_score_gemma":0.00046425394,"threshold_uncertainty_score":0.9994613},"labels":[],"label_agreement":null},{"id":"W2741282258","doi":"10.1016/j.neuroimage.2017.07.051","title":"Time-resolved phase-amplitude coupling in neural oscillations","year":2017,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":93,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Fondation Brain Canada","keywords":"Coupling (piping); Local field potential; Amplitude; Phase (matter); Physics; Biological system; Neuroscience; Electrophysiology; Statistical physics; Psychology; Optics; Biology; Quantum mechanics; Materials science","score_opus":0.06013876208539458,"score_gpt":0.3226189205283636,"score_spread":0.262480158442969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2741282258","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916842,0.000006065748,0.00015957917,0.0014582486,0.0005975569,0.00025774183,0.000028343364,0.000109581546,0.005698713],"genre_scores_gemma":[0.9978789,0.000009849636,0.000041766598,0.00070615194,0.00010133126,0.000010783276,0.000004898581,0.000026966134,0.0012193338],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99862695,0.000042329226,0.00023433518,0.0005246596,0.0002348904,0.00033683164],"domain_scores_gemma":[0.9988697,0.00019885325,0.00015057872,0.00067510246,0.00002291115,0.00008282196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013682786,0.00015702083,0.0001644117,0.000106294836,0.0006278478,0.00036730838,0.00045532835,0.00004619365,0.00010083422],"category_scores_gemma":[0.0009867694,0.00015296113,0.000070749586,0.00011686742,0.00018400555,0.00050432974,0.0001605198,0.00026611294,0.00020101496],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039465624,0.00010952064,0.0012976482,0.0000052680366,6.6349503e-7,0.00011294356,0.000021622136,0.0018466085,0.99377465,0.00032533036,0.00025017417,0.0022160937],"study_design_scores_gemma":[0.0014559715,0.00013628902,0.036211792,0.000012810889,0.0000060937477,0.000022839442,0.00000361935,0.9436739,0.014708762,0.0003418295,0.003188612,0.00023744933],"about_ca_topic_score_codex":0.000029549838,"about_ca_topic_score_gemma":0.000020219974,"teacher_disagreement_score":0.9790659,"about_ca_system_score_codex":0.000025613548,"about_ca_system_score_gemma":0.000018368006,"threshold_uncertainty_score":0.62375736},"labels":[],"label_agreement":null},{"id":"W2741986628","doi":"10.1016/j.neubiorev.2017.07.013","title":"How do the brain’s time and space mediate consciousness and its different dimensions? Temporo-spatial theory of consciousness (TTC)","year":2017,"lang":"en","type":"review","venue":"Neuroscience & Biobehavioral Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":233,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Royal Ottawa Mental Health Centre","funders":"Canadian Institutes of Health Research; National Natural Science Foundation of China; Canada Research Chairs","keywords":"Consciousness; Psychology; Stimulus (psychology); Neuroscience; Cognition; Level of consciousness; Neural correlates of consciousness; Cognitive science; Artificial consciousness; Electromagnetic theories of consciousness; Cognitive psychology; Developmental psychology","score_opus":0.13374560262409685,"score_gpt":0.3540004640368086,"score_spread":0.22025486141271178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2741986628","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013831721,0.9799817,0.000015516298,0.00023089109,0.001751749,0.0037761044,0.00031267418,0.000063316045,0.000036334808],"genre_scores_gemma":[0.017904278,0.9800322,0.0000052411847,0.0004646929,0.00010155713,0.00021502304,0.00001126738,0.00007393949,0.0011917901],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9939871,0.0015995383,0.0010715405,0.001806405,0.00081679993,0.0007186426],"domain_scores_gemma":[0.9951124,0.00026559574,0.0027438966,0.0014070327,0.00009744238,0.00037364027],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016928347,0.0010334966,0.002779783,0.00026364153,0.0011154976,0.0008575508,0.0014423375,0.00032606852,0.000023105826],"category_scores_gemma":[0.0045719976,0.00056478294,0.00050352304,0.00043248487,0.00249143,0.0004962839,0.0010314797,0.0008315893,0.000021663598],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012926615,0.00009907087,0.000041080104,0.0015537111,4.042563e-7,0.000040139817,0.000046651385,5.2117446e-8,0.020763662,0.0009077623,0.00022612377,0.9763084],"study_design_scores_gemma":[0.0002556269,0.00030339934,0.0001754432,0.0033050578,0.00043650548,0.0003195447,0.000008688485,0.000081052065,0.00017988532,0.00013332156,0.994129,0.0006724739],"about_ca_topic_score_codex":0.000016441962,"about_ca_topic_score_gemma":0.000020873329,"teacher_disagreement_score":0.99390286,"about_ca_system_score_codex":0.000053466003,"about_ca_system_score_gemma":0.0001928927,"threshold_uncertainty_score":0.99968034},"labels":[],"label_agreement":null},{"id":"W2742280517","doi":"10.1101/171926","title":"New waves: Rhythmic electrical field stimulation systematically alters spontaneous slow dynamics across mouse neocortex","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge; Women and Children’s Health Research Institute; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alzheimer Society","keywords":"Neocortex; Neuroscience; Stimulation; Rhythm; Somatosensory system; Forebrain; Physics; Depolarization; Cortex (anatomy); Oscillation (cell signaling); Local field potential; Psychology; Biology; Biophysics; Acoustics; Central nervous system","score_opus":0.016793450957193725,"score_gpt":0.24731181216100812,"score_spread":0.2305183612038144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2742280517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95585024,0.00006728615,0.037880905,0.00055930804,0.0028624318,0.0018422463,0.00026143977,0.00064450264,0.000031607447],"genre_scores_gemma":[0.9962169,0.00011118727,0.001828691,0.00064149516,0.00068445824,0.00009937602,0.0000012133122,0.00017892008,0.00023777632],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99513465,0.0002688657,0.0009457425,0.0017658176,0.00085226906,0.0010326826],"domain_scores_gemma":[0.99541587,0.0005530517,0.00097528566,0.0022675171,0.00026677866,0.00052151264],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0005349404,0.0008231851,0.0009138979,0.00023448952,0.0006257603,0.0012089566,0.0011706414,0.0008628043,0.000028959266],"category_scores_gemma":[0.0024665697,0.0008358509,0.00032515405,0.0003454691,0.00011336506,0.00035028267,0.0006528754,0.0014391618,0.00014443927],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030864918,0.0001751553,0.0006955321,0.0009857577,0.00008180726,0.0019661016,0.000020895244,0.0023010282,0.9880751,0.0047092317,0.00058248,0.00009830011],"study_design_scores_gemma":[0.0018123513,0.0006935841,0.011959307,0.0015005091,0.00027160556,0.000008068818,0.000004309145,0.75588053,0.2238415,0.00010414011,0.0008186804,0.0031054057],"about_ca_topic_score_codex":0.00014586456,"about_ca_topic_score_gemma":0.000018900082,"teacher_disagreement_score":0.7642335,"about_ca_system_score_codex":0.0007786194,"about_ca_system_score_gemma":0.00060672447,"threshold_uncertainty_score":0.99982786},"labels":[],"label_agreement":null},{"id":"W2742306291","doi":"10.1371/journal.pone.0182635","title":"Rendering visual events as sounds: Spatial attention capture by auditory augmented reality","year":2017,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Percept; Salient; Computer science; Rendering (computer graphics); Auditory scene analysis; Computer vision; Stimulus (psychology); Artificial intelligence; Visual perception; Neuromorphic engineering; Perception; Psychology; Cognitive psychology; Artificial neural network; Neuroscience","score_opus":0.06252563699077814,"score_gpt":0.2830182520990623,"score_spread":0.22049261510828416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2742306291","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99566764,0.000004593035,0.0003812275,0.0010706898,0.00070975506,0.00020898457,0.000038405204,0.00009034439,0.0018283915],"genre_scores_gemma":[0.99417394,0.000023746756,0.000015265681,0.0002519416,0.00034687947,0.000016835282,0.00003230433,0.000018177461,0.005120892],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986473,0.00007847649,0.00016517426,0.00039821185,0.00048753168,0.00022332915],"domain_scores_gemma":[0.9992686,0.00003714907,0.00022017687,0.00035837214,0.000035852212,0.00007988586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001246324,0.00012591026,0.00014121488,0.000030733627,0.00058932597,0.000117930955,0.00023121944,0.00008021337,0.00006601739],"category_scores_gemma":[0.0004958926,0.00012403731,0.000052099,0.000035507957,0.00006367129,0.00030388066,0.000121866826,0.00019254358,0.00010416611],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005699793,0.0005681637,0.0020921614,0.000030931562,0.000017166843,0.000007102449,0.000019007759,0.0000016214458,0.9955829,0.00005180322,0.0009717178,0.0006004223],"study_design_scores_gemma":[0.0029415595,0.00083475106,0.19272585,0.00048678904,0.00023616989,0.000017087841,0.000060744533,0.035530597,0.76037663,0.0037696015,0.0019666727,0.0010535655],"about_ca_topic_score_codex":0.0004525024,"about_ca_topic_score_gemma":0.00007381774,"teacher_disagreement_score":0.23520629,"about_ca_system_score_codex":0.00007881506,"about_ca_system_score_gemma":0.000017182861,"threshold_uncertainty_score":0.5058095},"labels":[],"label_agreement":null},{"id":"W2742809567","doi":"10.1371/journal.pcbi.1005691","title":"A stochastic-field description of finite-size spiking neural networks","year":2017,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada","keywords":"Statistical physics; Population; Stochastic partial differential equation; Autocorrelation; Applied mathematics; Stochastic differential equation; Mathematics; Partial differential equation; Computer science; Mathematical analysis; Physics; Statistics","score_opus":0.061672021042680776,"score_gpt":0.2800695444575065,"score_spread":0.2183975234148257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2742809567","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81829643,0.0000087737535,0.17948039,0.00088288524,0.00074534625,0.00013645449,0.000013489952,0.000035307457,0.0004009343],"genre_scores_gemma":[0.9983632,0.0000022136037,0.0005212352,0.0009057921,0.00014174412,0.000007574463,0.000011453449,0.000007649504,0.000039163908],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992065,0.0000697585,0.00020147803,0.000257436,0.00010088686,0.00016395134],"domain_scores_gemma":[0.9979229,0.0015669508,0.00024641436,0.0001626317,0.000065060594,0.000036065536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007094979,0.00009357688,0.00014335125,0.000047475576,0.00028775373,0.000050491566,0.0002340028,0.00007400882,0.000036669993],"category_scores_gemma":[0.0021918293,0.00008410823,0.000053344746,0.00005076614,0.00012711949,0.00013288065,0.000101922684,0.00013659007,0.000007133464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024572707,0.00016629166,0.007377663,0.000019647236,0.000018951474,0.000009851175,0.000056005385,0.68934095,0.25090894,0.039857797,0.00010795678,0.011890188],"study_design_scores_gemma":[0.00025847118,0.00022271594,0.010000181,0.000011834858,0.000007590383,0.000008180533,0.0000024823007,0.970534,0.0014379433,0.017414633,0.000014885119,0.00008702438],"about_ca_topic_score_codex":0.000016357306,"about_ca_topic_score_gemma":0.000004500481,"teacher_disagreement_score":0.28119308,"about_ca_system_score_codex":0.000012163937,"about_ca_system_score_gemma":0.000014102754,"threshold_uncertainty_score":0.3429834},"labels":[],"label_agreement":null},{"id":"W2743621286","doi":"10.1016/j.neuroimage.2017.08.019","title":"Ghosts in machine learning for cognitive neuroscience: Moving from data to theory","year":2017,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Australian Research Council; Fonds Wetenschappelijk Onderzoek","keywords":"Cognitive neuroscience; Cognitive science; Neuroscience; Psychology; Cognition; Computational neuroscience; Cognitive psychology; Computer science","score_opus":0.11639339140261604,"score_gpt":0.34784840886718776,"score_spread":0.23145501746457173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2743621286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910938,0.000009075533,0.0041534244,0.0012052044,0.0010325591,0.0005724191,0.0004617965,0.0000769591,0.0013947469],"genre_scores_gemma":[0.99480706,0.000017376586,0.000107477696,0.003967288,0.000105949395,0.000021250733,0.000033771827,0.0000327064,0.0009071236],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99798673,0.00018850704,0.00018858131,0.0010430877,0.00023424602,0.00035884863],"domain_scores_gemma":[0.99788576,0.0009877395,0.00014773739,0.0008490428,0.000026377831,0.00010332304],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00043525163,0.0001634135,0.00016558437,0.00010638555,0.0007150547,0.00045367246,0.0012368539,0.000036965175,0.000021359147],"category_scores_gemma":[0.015513743,0.00015416,0.00003706592,0.00012860434,0.00013517938,0.0007965245,0.0009546381,0.0003276664,0.00003564494],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019285078,0.000052566662,0.0053272555,0.0000064890805,5.505675e-7,0.000096831616,0.00008321253,0.000086498534,0.96982634,0.00037626296,0.00009817638,0.023852948],"study_design_scores_gemma":[0.0022006927,0.00061074854,0.4800757,0.00011326767,0.00002748649,0.000024734358,0.00006132174,0.42329305,0.07736942,0.004085668,0.01145298,0.00068493915],"about_ca_topic_score_codex":0.000117290045,"about_ca_topic_score_gemma":0.0000895512,"teacher_disagreement_score":0.89245695,"about_ca_system_score_codex":0.000014287373,"about_ca_system_score_gemma":0.000024752795,"threshold_uncertainty_score":0.992779},"labels":[],"label_agreement":null},{"id":"W2743650095","doi":"10.1016/j.cortex.2017.08.001","title":"Implicit guidance of attention: The priority state space framework","year":2017,"lang":"en","type":"review","venue":"Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":118,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Salience (neuroscience); Psychology; Cognitive psychology; Visual attention; Cognitive science; Prioritization; Hierarchy; Cognition; Neuroscience; Management science","score_opus":0.09438341824608257,"score_gpt":0.3724691074432144,"score_spread":0.27808568919713184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2743650095","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00018100138,0.9932799,0.000583452,0.00015876454,0.002150836,0.00084413635,0.00012628695,0.000046933437,0.0026287076],"genre_scores_gemma":[0.0005849163,0.9942858,0.00003935802,0.00009433268,0.00018508715,0.00003298544,0.000005662065,0.000031509986,0.004740302],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99832433,0.00017511522,0.00043835465,0.0005248921,0.00029067486,0.00024661317],"domain_scores_gemma":[0.9971963,0.00045372918,0.000991677,0.0012527958,0.000052895462,0.000052602918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026478324,0.00026671126,0.0007731789,0.000047051766,0.000306229,0.00011252138,0.0009070165,0.0001596784,0.00003095486],"category_scores_gemma":[0.000742473,0.00016444862,0.00041105557,0.00020368236,0.00021079044,0.000088677494,0.00022963401,0.00054534746,0.00010956122],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003870005,0.000024766237,0.000012783916,0.002377645,0.0000129366435,0.0000142651725,0.000009799713,3.628872e-7,0.00027318927,0.007845046,0.0005509809,0.9888744],"study_design_scores_gemma":[0.00003742429,0.000041332376,0.0006496442,0.003148265,0.00009770532,0.000035407465,8.559737e-7,0.00003114387,0.000012182898,0.0026109088,0.993152,0.00018312898],"about_ca_topic_score_codex":0.000013297234,"about_ca_topic_score_gemma":0.000004880928,"teacher_disagreement_score":0.99260104,"about_ca_system_score_codex":0.000041039842,"about_ca_system_score_gemma":0.00011710273,"threshold_uncertainty_score":0.670602},"labels":[],"label_agreement":null},{"id":"W2743674482","doi":"10.1016/j.paid.2017.03.066","title":"Brain states predict individual differences in perceptual learning","year":2017,"lang":"en","type":"article","venue":"Personality and Individual Differences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Armed Forces; University of Ottawa; Health Canada; Defence Research and Development Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of National Defense","keywords":"Psychology; Categorization; P3b; Stimulus (psychology); Electroencephalography; Perception; Perceptual learning; Cognitive psychology; Brain activity and meditation; Electrophysiology; Cognition; Developmental psychology; Neuroscience; Event-related potential; Artificial intelligence; Computer science","score_opus":0.10095145832821306,"score_gpt":0.28827588623085815,"score_spread":0.18732442790264509,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2743674482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99506444,0.000090604866,0.000016947268,0.0026939313,0.0002966188,0.00021002456,0.0002537858,0.000071897935,0.0013017796],"genre_scores_gemma":[0.9980027,0.00033366613,0.000023089904,0.0006762314,0.000137729,0.000027964912,0.0000413731,0.000013877175,0.0007433476],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99717444,0.00042556092,0.00034006566,0.0007811891,0.00074184797,0.0005369001],"domain_scores_gemma":[0.99848896,0.0008072075,0.00025641092,0.00024974917,0.00002555425,0.00017214105],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00065943535,0.00031579818,0.0004018546,0.00014370542,0.0014076618,0.0008683404,0.00076591794,0.00015324888,0.00025952872],"category_scores_gemma":[0.0014079359,0.00025030563,0.0000794771,0.00010903918,0.0009445554,0.0007353871,0.0004078808,0.00063311035,0.000014128172],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056918583,0.00013833343,0.9721476,0.000044668835,0.000019677513,0.000013568477,0.007415662,0.0000029606658,0.0019372797,0.0021493956,0.00018515611,0.015888814],"study_design_scores_gemma":[0.0006028842,0.00037262976,0.9899346,0.00006728092,0.000020984806,0.000013583725,0.0019391234,0.0022790642,0.00025073485,0.0039304295,0.0002599027,0.00032874435],"about_ca_topic_score_codex":0.00064052455,"about_ca_topic_score_gemma":0.00044204402,"teacher_disagreement_score":0.017787073,"about_ca_system_score_codex":0.000020070906,"about_ca_system_score_gemma":0.00004492399,"threshold_uncertainty_score":0.99999493},"labels":[],"label_agreement":null},{"id":"W2743814236","doi":"10.1109/isit.2017.8006770","title":"Metric and topological entropy bounds on state estimation for stochastic non-linear systems","year":2017,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Mathematics; Topological entropy; Dynamical systems theory; Applied mathematics; Linear dynamical system; Entropy (arrow of time); Linear system; Quadratic equation; Metric (unit); Noise (video); Stability (learning theory); State (computer science); Discrete mathematics; Mathematical optimization; Topology (electrical circuits); Computer science; Algorithm; Combinatorics; Mathematical analysis; Artificial intelligence","score_opus":0.049493902852015347,"score_gpt":0.31501572472666817,"score_spread":0.26552182187465284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2743814236","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.692668,0.0000038925546,0.3047803,0.00048148076,0.00085227983,0.00048153015,0.000017975639,0.000043216827,0.0006712834],"genre_scores_gemma":[0.99683446,0.0000056048884,0.00031673184,0.00018793566,0.000047755453,0.000029289633,0.000002409105,0.0000070119722,0.0025688107],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931127,0.000019243445,0.000117887816,0.00026431118,0.0001303187,0.00015696345],"domain_scores_gemma":[0.9993332,0.00029675875,0.000100061894,0.00019254781,0.000023427167,0.00005402917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012749009,0.00008553437,0.00010976689,0.00006861531,0.0004756514,0.0002649427,0.00011392855,0.0000340244,0.000006163129],"category_scores_gemma":[0.0010266149,0.000059514143,0.000026124286,0.000045479606,0.00007763324,0.00014757937,0.000038399496,0.00005888176,0.000016893953],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011066515,0.0004672258,0.00076261157,0.0002551826,0.000025765476,0.000036001522,0.0001266059,0.15006334,0.26295805,0.5477772,0.0014576932,0.034963712],"study_design_scores_gemma":[0.00040384245,0.0004916361,0.0017921673,0.00000801252,0.000005840552,0.000008182243,0.0000046007526,0.9922225,0.0025340675,0.0023013202,0.00014492897,0.00008288783],"about_ca_topic_score_codex":0.00003317972,"about_ca_topic_score_gemma":0.0000023331602,"teacher_disagreement_score":0.84215915,"about_ca_system_score_codex":0.000022327362,"about_ca_system_score_gemma":0.000007980192,"threshold_uncertainty_score":0.3658374},"labels":[],"label_agreement":null},{"id":"W2744676012","doi":"10.7554/elife.22425","title":"UP-DOWN cortical dynamics reflect state transitions in a bistable network","year":2017,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":167,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"European Regional Development Fund; Agència de Gestió d'Ajuts Universitaris i de Recerca; Ministerio de Economía y Competitividad; European Commission","keywords":"Bistability; Neuroscience; Excitatory postsynaptic potential; State dependent; Population; Inhibitory postsynaptic potential; Rhythm; Physics; State (computer science); Amplitude; Network dynamics; Dynamics (music); Statistical physics; Biology; Computer science; Mathematics; Quantum mechanics; Medicine","score_opus":0.038092917852369915,"score_gpt":0.29927101419852703,"score_spread":0.26117809634615713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2744676012","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9849163,0.000008827346,0.0027963305,0.0026673977,0.0011952088,0.0002062414,0.000052000985,0.00007538993,0.008082287],"genre_scores_gemma":[0.9962747,0.000046854297,0.000096403426,0.0010388994,0.00009156631,0.00001393949,0.000007720716,0.000015724265,0.0024142007],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988556,0.00007764888,0.00019524325,0.0003055725,0.0002072127,0.00035875075],"domain_scores_gemma":[0.9993527,0.000080916994,0.00007480097,0.00038183483,0.000022859469,0.00008687762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020068085,0.00010488493,0.00013678387,0.000043680815,0.0005701813,0.00017570831,0.00018929565,0.000044577388,0.000036481815],"category_scores_gemma":[0.00035533257,0.000097824195,0.000049636346,0.0001390042,0.000113764654,0.00022068527,0.00005061847,0.00026528203,0.000064406566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018269541,0.0012757422,0.05609549,0.00015608194,0.000044714052,0.0018320398,0.001816062,0.039354786,0.5805647,0.25384292,0.021265881,0.041924655],"study_design_scores_gemma":[0.0019877001,0.00039424637,0.097882815,0.00010815868,0.000023501398,0.00008515029,0.00004952316,0.86692464,0.008147719,0.011294678,0.012396927,0.00070494396],"about_ca_topic_score_codex":0.000073061165,"about_ca_topic_score_gemma":0.0014248348,"teacher_disagreement_score":0.82756984,"about_ca_system_score_codex":0.0000656234,"about_ca_system_score_gemma":0.00004107477,"threshold_uncertainty_score":0.4385431},"labels":[],"label_agreement":null},{"id":"W2744872705","doi":"10.3389/fpsyg.2017.01216","title":"Complexity Level Analysis Revisited: What Can 30 Years of Hindsight Tell Us about How the Brain Might Represent Visual Information?","year":2017,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Office of Naval Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Hindsight bias; Generality; Artificial intelligence; Task (project management); Computer science; Context (archaeology); Computational model; Information processing; Cognitive science; Computational neuroscience; Machine learning; Cognition; Visual processing; Human–computer interaction; Psychology; Cognitive psychology; Perception; Neuroscience","score_opus":0.05591166379726092,"score_gpt":0.33307040040954605,"score_spread":0.27715873661228513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2744872705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96583813,0.00015110336,0.012777506,0.015001074,0.0034889376,0.0004567374,0.0001091332,0.000028235992,0.0021491407],"genre_scores_gemma":[0.99429137,0.00041655847,0.0005345482,0.0041915323,0.00006455451,0.000011519827,0.000030281244,0.000009913269,0.0004497512],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99844,0.0002795759,0.0003515591,0.0003820411,0.00026576687,0.0002810201],"domain_scores_gemma":[0.99826884,0.00012159986,0.00049049756,0.0010115115,0.000049698458,0.000057873836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004459694,0.00014007914,0.00034719292,0.00036437603,0.00024272318,0.00027482843,0.000793252,0.0001201509,0.00006168386],"category_scores_gemma":[0.0005935195,0.00011251211,0.00015033847,0.00044492426,0.0005874874,0.00071069866,0.00013701337,0.0002799679,0.000013546011],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047973613,0.00041790813,0.51471704,0.00006877013,0.00037730456,0.000088461515,0.0028234513,0.0002709718,0.013739014,0.004283169,0.25526375,0.20747042],"study_design_scores_gemma":[0.0008123444,0.00010755879,0.9363662,0.000023132754,0.00006515068,0.000012037353,0.00018212108,0.01095172,0.0008851016,0.0027096753,0.047673754,0.00021118896],"about_ca_topic_score_codex":0.00009386706,"about_ca_topic_score_gemma":0.00013144451,"teacher_disagreement_score":0.4216492,"about_ca_system_score_codex":0.000039734645,"about_ca_system_score_gemma":0.000023263492,"threshold_uncertainty_score":0.45881107},"labels":[],"label_agreement":null},{"id":"W2746521238","doi":"10.1007/s11571-017-9450-4","title":"Relationships between short and fast brain timescales","year":2017,"lang":"en","type":"article","venue":"Cognitive Neurodynamics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Antipodal point; Computer science; Statistical physics; Scale (ratio); Cognition; Physics; Synchronicity; Theoretical physics; Topology (electrical circuits); Neuroscience; Mathematics; Psychology; Quantum mechanics","score_opus":0.08019088578696262,"score_gpt":0.30413194034425367,"score_spread":0.22394105455729105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2746521238","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98831755,0.000007048634,0.0019167394,0.0017039278,0.00029864287,0.0002804577,0.00016257277,0.00009388023,0.007219188],"genre_scores_gemma":[0.99774826,0.000034699744,0.000029269242,0.0008285064,0.00013260309,0.000011073951,0.000027602939,0.000034559747,0.0011534437],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985414,0.00019143971,0.00019859051,0.0005890962,0.00020833546,0.00027112057],"domain_scores_gemma":[0.9981696,0.0011579051,0.00012295097,0.0003382821,0.00006296314,0.0001483095],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00021129317,0.00019522979,0.00018469684,0.00008766233,0.0013667404,0.00033246024,0.00026051622,0.000102360485,0.000012204894],"category_scores_gemma":[0.0044955914,0.00019142842,0.000057915346,0.00008009234,0.00045834974,0.00045093463,0.00024808574,0.0004883272,0.00005400059],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015587512,0.00016845993,0.65572596,0.00007430294,0.000032354397,0.00024540754,0.00028783313,0.000025861522,0.13262755,0.021121096,0.0004895175,0.18904579],"study_design_scores_gemma":[0.00037226963,0.0001271764,0.97361374,0.00004077592,0.000040779687,0.000042976073,0.000034646753,0.019562539,0.0019286446,0.0034046725,0.0005297665,0.00030200378],"about_ca_topic_score_codex":0.00000431912,"about_ca_topic_score_gemma":0.00002473298,"teacher_disagreement_score":0.31788778,"about_ca_system_score_codex":0.00001715984,"about_ca_system_score_gemma":0.000018782608,"threshold_uncertainty_score":0.99993336},"labels":[],"label_agreement":null},{"id":"W2747042302","doi":"10.1371/journal.pone.0181773","title":"Population activity structure of excitatory and inhibitory neurons","year":2017,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of General Medical Sciences; National Institute on Deafness and Other Communication Disorders; York University; National Institute on Drug Abuse; National Eye Institute; Research to Prevent Blindness; Eye and Ear Foundation of Pittsburgh; Richard King Mellon Foundation; Carnegie Mellon University; Simons Foundation; Andrew W. Mellon Foundation; National Institutes of Health; National Science Foundation","keywords":"Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Population; Neuroscience; Neuron; Premovement neuronal activity; Biology; Medicine","score_opus":0.05836988259216445,"score_gpt":0.2463664304593542,"score_spread":0.18799654786718975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2747042302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993199,0.0000036438503,0.000004230002,0.00019287421,0.00010597907,0.00009629121,0.00002127563,0.000017708951,0.0002380875],"genre_scores_gemma":[0.99970406,0.000010876912,0.000039946935,0.00006797072,0.000054508706,9.705656e-7,9.194693e-7,0.0000071334466,0.00011359489],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9994997,0.000033844768,0.00006412271,0.00017092733,0.00015644776,0.00007497707],"domain_scores_gemma":[0.9995516,0.00004800235,0.000124939,0.00022959092,0.000014493626,0.000031359268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000025094663,0.00005569078,0.00009638384,0.0000305023,0.00020049048,0.000034772173,0.00007937283,0.000033981683,0.000009566322],"category_scores_gemma":[0.00033228166,0.000052025607,0.000014160087,0.0000206188,0.000077447585,0.00025053555,0.000058876034,0.00009367864,0.0000011530688],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016553151,0.00008228554,0.014838567,0.000032919088,0.0000022773554,0.000001194865,0.000013718251,0.000001380528,0.98351187,0.0003659752,0.000005945352,0.0011273407],"study_design_scores_gemma":[0.00010875629,0.000047824542,0.5158089,0.000018186465,0.000010051755,9.2127095e-7,9.2459476e-7,0.001270087,0.4816862,0.0009982451,0.0000038113926,0.000046098266],"about_ca_topic_score_codex":0.00003193071,"about_ca_topic_score_gemma":0.00002067401,"teacher_disagreement_score":0.50182563,"about_ca_system_score_codex":0.000008185433,"about_ca_system_score_gemma":0.0000052514824,"threshold_uncertainty_score":0.21215427},"labels":[],"label_agreement":null},{"id":"W2747283152","doi":"10.1101/176800","title":"Spontaneous activity synchronizes whisker-related sensorimotor networks prior to their maturation in the developing rat cortex","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge; University of British Columbia","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC; Natural Sciences and Engineering Research Council of Canada; Alzheimer Society","keywords":"Neuroscience; Microstimulation; Somatosensory system; Barrel cortex; Cortex (anatomy); Motor cortex; Stimulation; Sensorimotor cortex; Sensory system; Psychology","score_opus":0.019781845486503517,"score_gpt":0.23185925796304277,"score_spread":0.21207741247653925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2747283152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888944,0.00008622749,0.0026513832,0.0015542103,0.0044005355,0.0020467357,0.000059574515,0.0002886965,0.000018251903],"genre_scores_gemma":[0.997817,0.00020736101,0.00041234193,0.000800976,0.000425649,0.00020828092,4.095877e-7,0.0001063629,0.000021630618],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9962307,0.0005684862,0.00054729526,0.0014343323,0.0004913102,0.0007278268],"domain_scores_gemma":[0.99694943,0.0003569622,0.00066477817,0.001664015,0.00020333735,0.00016148969],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008679369,0.000680917,0.0005935906,0.00025628853,0.0007138819,0.00093561003,0.00118187,0.00059946865,0.000011726576],"category_scores_gemma":[0.0010289113,0.0005457281,0.00015726643,0.00054937275,0.00013361672,0.00031981926,0.000551381,0.0014722572,0.000044925124],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019554628,0.000089474066,0.00015560452,0.000109111395,0.00002119208,0.0008447189,0.000039201776,0.0014257116,0.9963432,0.00059658155,0.00010653159,0.00007313486],"study_design_scores_gemma":[0.001408335,0.00029805143,0.54728085,0.0017838997,0.00013838452,0.0000074974937,0.000012476894,0.111656606,0.32812613,0.00003756021,0.0060225176,0.0032277037],"about_ca_topic_score_codex":0.000059196846,"about_ca_topic_score_gemma":0.000046395693,"teacher_disagreement_score":0.66821706,"about_ca_system_score_codex":0.00063513103,"about_ca_system_score_gemma":0.0004636282,"threshold_uncertainty_score":0.9996994},"labels":[],"label_agreement":null},{"id":"W2747643681","doi":"10.4015/s1016237217500296","title":"SEPARATION AND IDENTIFICATION OF RHYTHM COMPONENTS OF LOCAL FIELD POTENTIAL SIGNALS IN AWAKE MICE USING ENSEMBLE EMPIRICAL MODE DECOMPOSITION","year":2017,"lang":"en","type":"article","venue":"Biomedical Engineering Applications Basis and Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Local field potential; Hilbert–Huang transform; SIGNAL (programming language); Impulse response; Spectral density; Physics; Signal processing; Independent component analysis; Filter (signal processing); Pattern recognition (psychology); Biological system; Computer science; Artificial intelligence; Mathematics; Digital signal processing","score_opus":0.04145001115794734,"score_gpt":0.3650005885534145,"score_spread":0.32355057739546716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2747643681","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65117985,0.000068750865,0.34750497,0.00093835284,0.000028810842,0.00020621296,0.000031778964,0.000014055814,0.000027193495],"genre_scores_gemma":[0.9964623,0.00039610194,0.0029777035,0.00003500828,0.000015265996,0.00006300294,0.00003794791,0.000007954178,0.000004711751],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906653,0.000048656977,0.00042536136,0.00020601212,0.00015104824,0.00010238666],"domain_scores_gemma":[0.99881727,0.00022748287,0.00023417048,0.0006088254,0.000049884835,0.00006234249],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017876452,0.0000882942,0.0001603208,0.00014700493,0.000256082,0.00004289186,0.00029122506,0.00008585936,0.000001918613],"category_scores_gemma":[0.00009059855,0.00009323152,0.00003279195,0.00016157197,0.00024963263,0.00014950454,0.00017625821,0.00012110193,6.751151e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000071183476,0.00016008742,0.00025905235,0.00004212607,0.0000049085215,2.3400823e-7,0.00004709389,0.0019954867,0.9841227,0.0037805678,0.0000059115278,0.0095747365],"study_design_scores_gemma":[0.00025746407,0.000031285173,0.014314191,0.000051164614,0.00002110299,0.00001800509,0.00002464102,0.9215819,0.06270512,0.0006200858,0.00027954005,0.00009550574],"about_ca_topic_score_codex":0.00014410556,"about_ca_topic_score_gemma":0.0000093322915,"teacher_disagreement_score":0.92141753,"about_ca_system_score_codex":0.000024022258,"about_ca_system_score_gemma":0.00001744384,"threshold_uncertainty_score":0.38018712},"labels":[],"label_agreement":null},{"id":"W2748667761","doi":"10.1016/j.neuroimage.2017.08.052","title":"Functional magnetic resonance imaging of auditory cortical fields in awake marmosets","year":2017,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"National Institute of Neurological Disorders and Stroke; National Institute on Deafness and Other Communication Disorders; National Institutes of Health","keywords":"Auditory cortex; Tonotopy; Functional magnetic resonance imaging; Neuroscience; Neurophysiology; Primate; Auditory perception; Callithrix; Human echolocation; Perception; Psychology; Sensory system","score_opus":0.029736774765975114,"score_gpt":0.26316360344857503,"score_spread":0.23342682868259992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2748667761","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98788935,0.00005239175,0.00012188998,0.0014315661,0.0018649589,0.00013436504,0.000017330342,0.000032374195,0.008455746],"genre_scores_gemma":[0.9976628,0.000030789673,0.000036158275,0.0008330442,0.00014354703,0.0000074427157,0.0000011818694,0.000014287549,0.0012707937],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987935,0.00008662457,0.00022771924,0.00039344866,0.00026569644,0.00023302839],"domain_scores_gemma":[0.99910176,0.00022348607,0.000114230155,0.00048317458,0.000026105934,0.000051260726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012655763,0.00011196285,0.0001364313,0.00006913503,0.00021434356,0.0000721435,0.00028974246,0.00003938983,0.00016848049],"category_scores_gemma":[0.0010565527,0.00011012107,0.000055899432,0.00007126123,0.00024343043,0.00025163175,0.00014369348,0.00031059023,0.000041218973],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008834906,0.00015231723,0.08298494,0.000025900317,3.741876e-7,0.00038424047,0.000026013802,0.000031113384,0.87567365,0.0019050492,0.0051892377,0.0335388],"study_design_scores_gemma":[0.00046814367,0.00006181225,0.9740653,0.000018182172,0.0000030657086,0.000032335098,0.0000028035856,0.009634739,0.01174502,0.00068652816,0.0031752808,0.00010681275],"about_ca_topic_score_codex":0.000027735769,"about_ca_topic_score_gemma":0.000019490864,"teacher_disagreement_score":0.8910803,"about_ca_system_score_codex":0.000016027177,"about_ca_system_score_gemma":0.00002773135,"threshold_uncertainty_score":0.4490607},"labels":[],"label_agreement":null},{"id":"W2748837471","doi":"10.1038/s41598-017-09931-6","title":"Spatiotemporal changes in regularity of gamma oscillations contribute to focal ictogenesis","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Hospital for Sick Children","funders":"Epilepsy Research Program of the Ontario Brain Institute; Japan Epilepsy Research Foundation; Nakayama Foundation for Human Science; Epilepsiatutkimussäätiö; Ontario Brain Institute","keywords":"Neuroscience; Biology","score_opus":0.04564487521993967,"score_gpt":0.2901404138912147,"score_spread":0.24449553867127502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2748837471","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991062,0.000005013,0.0002733776,0.0024675033,0.004852981,0.0003615458,0.00001777147,0.000024371748,0.0009354685],"genre_scores_gemma":[0.99723774,0.0000017939627,0.000120507226,0.000062880055,0.000042919393,0.000014273832,0.000008706631,0.0000074115355,0.0025037657],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99827796,0.00005331414,0.00034118674,0.0006403753,0.00044502335,0.00024211251],"domain_scores_gemma":[0.99827707,0.000047397843,0.00040572934,0.0010541729,0.00011524601,0.00010036426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010236584,0.00009516621,0.00017712385,0.00020656898,0.00053991366,0.0002779894,0.0002191405,0.000053272277,0.000032974705],"category_scores_gemma":[0.001994172,0.00008752871,0.000055202945,0.0003032471,0.00025220207,0.0002075261,0.00015947127,0.00006371538,0.000008255678],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017277542,0.000058787355,0.056246545,0.000013074491,0.000001440753,0.00016513724,0.000110078414,0.00012980976,0.9381987,0.001026316,0.00083441474,0.0031984274],"study_design_scores_gemma":[0.00017864643,0.00006777012,0.2015259,0.000044593107,0.000006696902,0.00006425437,0.000009174979,0.0021079124,0.7648783,0.008834615,0.022097569,0.00018459343],"about_ca_topic_score_codex":0.00016180183,"about_ca_topic_score_gemma":0.0018299894,"teacher_disagreement_score":0.17332041,"about_ca_system_score_codex":0.000040943418,"about_ca_system_score_gemma":0.00006706038,"threshold_uncertainty_score":0.41526338},"labels":[],"label_agreement":null},{"id":"W2749715376","doi":"10.1101/176081","title":"Multiple tasks viewed from the neural manifold: Stable control of varied behavior","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Center for Medical Rehabilitation Research; FP7 People: Marie-Curie Actions; European Commission; National Science Foundation","keywords":"Flexibility (engineering); Repertoire; Neuroscience; Artificial neural network; Population; Task (project management); Motor control; Computer science; Motor cortex; GRASP; Primary motor cortex; Artificial intelligence; Biology; Mathematics; Physics; Engineering","score_opus":0.028162359173631288,"score_gpt":0.23443231878312493,"score_spread":0.20626995960949362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2749715376","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896076,0.0002986018,0.0011678371,0.00045770197,0.003692609,0.0016562634,0.00287741,0.0002299015,0.000012128933],"genre_scores_gemma":[0.9981131,0.00011308052,0.000222843,0.0006792261,0.0004263786,0.00031347727,9.722119e-7,0.00011519729,0.000015724141],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.996522,0.00036195322,0.00066710066,0.0012521798,0.00061053765,0.0005862145],"domain_scores_gemma":[0.9952437,0.000602902,0.0011224234,0.0025391085,0.00030181528,0.00019001823],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00050248025,0.00058768503,0.0007332588,0.00010639208,0.0005430987,0.00047098656,0.0016262381,0.00041987127,0.00007607054],"category_scores_gemma":[0.0014100051,0.00047529017,0.00028280372,0.00019751764,0.0002528046,0.0002539839,0.00067279517,0.000996464,0.00004152727],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009525163,0.00017557542,0.01112652,0.00005996385,0.000036844835,0.00006317473,0.000005946745,0.000101407895,0.98751366,0.0006580288,0.00015659945,0.0000070361343],"study_design_scores_gemma":[0.0019678732,0.00011142416,0.34977627,0.0002324392,0.0004147004,4.5888857e-8,0.00000209806,0.023678584,0.61876994,0.000014818753,0.0040763495,0.0009554537],"about_ca_topic_score_codex":0.00068850577,"about_ca_topic_score_gemma":0.00002252614,"teacher_disagreement_score":0.36874372,"about_ca_system_score_codex":0.000114307695,"about_ca_system_score_gemma":0.00026641646,"threshold_uncertainty_score":0.99976987},"labels":[],"label_agreement":null},{"id":"W2749951583","doi":"10.1101/177188","title":"A High Performance, Inexpensive Setup for Simultaneous Multisite Recording of Electrophysiological Signals and Wide-Field Optical Imaging in the Mouse Cortex","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Local field potential; Electrophysiology; Voltage-sensitive dye; Neuroscience; Microelectrode; Brain function; Optical recording; Cortex (anatomy); Brain activity and meditation; Population; Electrode; Computer science; Electroencephalography; Physics; Psychology; Telecommunications; Medicine","score_opus":0.016505707635804716,"score_gpt":0.23737163221667743,"score_spread":0.2208659245808727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2749951583","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99704736,0.000059686656,0.0009325136,0.00038152275,0.0003633139,0.0010598907,0.00008854119,0.00006434361,0.0000028261848],"genre_scores_gemma":[0.9976565,0.00033343292,0.00088719535,0.0007969961,0.0001297212,0.0001453606,4.106808e-7,0.000046985155,0.0000033621284],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977252,0.00014452543,0.00047310645,0.0009071096,0.00026868115,0.0004813904],"domain_scores_gemma":[0.9967175,0.0017763834,0.00048506111,0.0007173243,0.00021608334,0.00008764967],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00043511216,0.00038282122,0.0005419788,0.00016429048,0.00028010935,0.00022422221,0.0005907927,0.0002474604,0.0000044014578],"category_scores_gemma":[0.0034871355,0.00029951564,0.00010445153,0.00015638936,0.00019749564,0.00017656622,0.00035861318,0.0007128356,0.00000243015],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002539249,0.000072469105,0.0015124364,0.00015108834,0.0000087563585,0.00006494749,0.0000073270294,0.0004899639,0.9970036,0.0003625893,0.00003671755,0.000036169367],"study_design_scores_gemma":[0.00069928734,0.00052217307,0.022652896,0.0002435578,0.00004870508,2.397951e-7,0.0000041579588,0.08142026,0.8937209,0.000031298794,0.00011597224,0.00054052495],"about_ca_topic_score_codex":0.000060253285,"about_ca_topic_score_gemma":0.000002284713,"teacher_disagreement_score":0.10328268,"about_ca_system_score_codex":0.00006569069,"about_ca_system_score_gemma":0.0000836908,"threshold_uncertainty_score":0.9999457},"labels":[],"label_agreement":null},{"id":"W2750318064","doi":"10.1101/181354","title":"Slot-like capacity and resource-like coding in a neural model of multiple-item working memory","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Working memory; Coding (social sciences); Computer science; Fidelity; Artificial neural network; Short-term memory; Function (biology); Artificial intelligence; Cognition; Neuroscience; Psychology; Mathematics; Biology","score_opus":0.055303015551569586,"score_gpt":0.23367478677567857,"score_spread":0.178371771224109,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2750318064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969408,0.00016369541,0.0004281859,0.00013164559,0.001247904,0.000713778,0.000143935,0.00018579263,0.00004429017],"genre_scores_gemma":[0.99844325,0.00014039951,0.00073813216,0.00032459036,0.00015720319,0.000073133204,1.72565e-7,0.00010887563,0.000014275761],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99647385,0.00024774973,0.0006908217,0.0014471489,0.00050301105,0.0006374068],"domain_scores_gemma":[0.99705136,0.0003886857,0.00084475783,0.0013653043,0.0001233446,0.00022652629],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00074452016,0.000581477,0.00074177823,0.00044467146,0.0003422217,0.00030872814,0.00078996876,0.0004845587,0.0000038036376],"category_scores_gemma":[0.0012053302,0.0006240263,0.00015768483,0.00029272132,0.00036575852,0.00026627764,0.0009967487,0.0012415453,0.000002974127],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008746624,0.00008081551,0.009753998,0.0003393636,0.0000127610265,0.000047191264,0.00003831882,0.0040544127,0.98524725,0.00029401953,0.000023878962,0.000020521651],"study_design_scores_gemma":[0.0009105191,0.000045042903,0.03281559,0.00083237904,0.000045497087,1.09940174e-7,0.0000043692635,0.7751704,0.1891287,0.000010356724,0.00022013637,0.00081688474],"about_ca_topic_score_codex":0.00012083279,"about_ca_topic_score_gemma":0.000024337916,"teacher_disagreement_score":0.79611856,"about_ca_system_score_codex":0.00019303482,"about_ca_system_score_gemma":0.00016684766,"threshold_uncertainty_score":0.9996211},"labels":[],"label_agreement":null},{"id":"W2750746215","doi":"10.30849/rip/ijp.v2i2.509","title":"Early environment effects on rat photic evoked potentials: A preliminary study","year":2017,"lang":"en","type":"article","venue":"Revista Interamericana de Psicología/Interamerican Journal of Psychology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Photic zone; Photic Stimulation; Neuroscience; Psychology; Chemistry; Visual perception; Perception","score_opus":0.02794171539476823,"score_gpt":0.3283337945266345,"score_spread":0.3003920791318663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2750746215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891272,0.000055441702,0.0037637427,0.0030757752,0.0020759327,0.00073664315,0.0000081325725,0.00003264179,0.0011244745],"genre_scores_gemma":[0.9928702,0.000106797765,0.0004490936,0.0057627764,0.00034463895,0.00004441953,8.9270554e-7,0.00006508376,0.00035606115],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9955906,0.0014085177,0.0010249182,0.0007994543,0.00047023938,0.0007062184],"domain_scores_gemma":[0.99502295,0.0008599221,0.0024302385,0.0012197798,0.000074939315,0.00039213814],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00061019044,0.00047465297,0.0010427115,0.00040547285,0.0004164317,0.00043314797,0.0017396404,0.00009664752,0.00022033235],"category_scores_gemma":[0.0016716098,0.0003943461,0.00045464182,0.00016800877,0.0007731127,0.00028891137,0.0002445092,0.0010599187,0.00012253418],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009321179,0.0041742534,0.034967087,0.00009532417,0.00049292255,0.007588133,0.0018302072,0.00019270918,0.56375384,0.00052188465,0.008591502,0.36847094],"study_design_scores_gemma":[0.01376117,0.20140545,0.7090181,0.0012711098,0.0011526502,0.0071835658,0.0013735131,0.0026084092,0.023951802,0.0019517131,0.033730973,0.0025915287],"about_ca_topic_score_codex":0.000058019545,"about_ca_topic_score_gemma":0.0000014477721,"teacher_disagreement_score":0.67405105,"about_ca_system_score_codex":0.00028960488,"about_ca_system_score_gemma":0.000071645176,"threshold_uncertainty_score":0.99985087},"labels":[],"label_agreement":null},{"id":"W2751441004","doi":"10.1167/17.10.1151","title":"Dissociable effects of saccades on hippocampal local field potential power and phase","year":2017,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Western University","funders":"","keywords":"Saccade; Local field potential; Gaze; Primate; Eye movement; Saccadic masking; Computer science; Neuroscience; Macaque; Artificial intelligence; Psychology; Computer vision","score_opus":0.009988213677098207,"score_gpt":0.30557320048103387,"score_spread":0.29558498680393563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2751441004","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966998,0.000025345482,0.0012498775,0.0007393827,0.0009025852,0.000053033353,0.0000014892453,0.000002702687,0.0003257579],"genre_scores_gemma":[0.9995189,0.000055965582,0.00002742934,0.00022777557,0.00008120475,1.68589e-7,8.281224e-8,0.000005183181,0.00008333166],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993305,0.000044073597,0.00017988551,0.00009788362,0.00025190777,0.00009570101],"domain_scores_gemma":[0.9991741,0.00022788336,0.00038003238,0.0001190574,0.000036017136,0.00006288645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015359464,0.00006608782,0.00014592956,0.000055489334,0.00018213107,0.000074180876,0.00014232303,0.000051388426,0.000022541275],"category_scores_gemma":[0.00067723583,0.00004619509,0.00007345636,0.0000239933,0.0000660234,0.00025902636,0.000046129564,0.00017385857,0.0000019163915],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051232404,0.00022986984,0.00011291564,0.000022743547,0.000004359033,0.0000982237,0.000039972612,0.000030924133,0.9456451,0.00028561454,0.0005778035,0.052440133],"study_design_scores_gemma":[0.0050105373,0.016476188,0.031471696,0.0005448196,0.00005038568,0.0001794263,0.000042450924,0.006581274,0.93253285,0.0062206164,0.000697758,0.00019202635],"about_ca_topic_score_codex":0.0000035612895,"about_ca_topic_score_gemma":3.7637756e-7,"teacher_disagreement_score":0.052248105,"about_ca_system_score_codex":0.000012411514,"about_ca_system_score_gemma":0.000011853222,"threshold_uncertainty_score":0.18837811},"labels":[],"label_agreement":null},{"id":"W2752605604","doi":"10.47513/mmd.v9i3.565","title":"Can Rhythmic Sensory Stimulation Decrease Cognitive Decline in Alzheimer's Disease?: A Clinical Case Study","year":2017,"lang":"en","type":"article","venue":"Music and Medicine","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"","keywords":"RSS; Cognition; Rhythm; Physical medicine and rehabilitation; Disease; CLARITY; Entrainment (biomusicology); Psychology; Sensory system; Medicine; Audiology; Gerontology; Physical therapy; Cognitive psychology; Psychiatry; Internal medicine; Computer science","score_opus":0.15325077096663792,"score_gpt":0.39472439056004527,"score_spread":0.24147361959340735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2752605604","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99487406,0.000069358604,0.000034531997,0.0036230467,0.0005113399,0.0006667809,0.000016162028,0.000022847073,0.00018184657],"genre_scores_gemma":[0.9961714,0.000048078095,0.000004977625,0.0032384899,0.00038265673,0.000018368839,0.000006500454,0.000011536007,0.0001179712],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986997,0.00018595629,0.000313861,0.00043443593,0.00019494344,0.00017108594],"domain_scores_gemma":[0.9986415,0.00056148716,0.00015777467,0.00026742002,0.000039108894,0.00033274462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004689328,0.00013253772,0.00023551258,0.00007943574,0.00034327945,0.00003150851,0.0000692376,0.000038040034,0.000044315555],"category_scores_gemma":[0.0036150895,0.00009977735,0.000027319049,0.00006480282,0.00034440486,0.00010398308,0.000101171805,0.00018169846,0.000003659841],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019605265,0.0014762238,0.6329208,0.000032185504,0.000046612815,0.06464098,0.0019743955,0.00003487359,0.0018354049,0.0003160802,0.00034555534,0.29441637],"study_design_scores_gemma":[0.008717672,0.00096939533,0.95035744,0.00015107915,0.0003129101,0.0008163017,0.0013048892,0.035634957,0.000036173828,0.0012293935,0.00022558583,0.00024418771],"about_ca_topic_score_codex":0.0013237798,"about_ca_topic_score_gemma":0.0025002353,"teacher_disagreement_score":0.31743667,"about_ca_system_score_codex":0.000010516496,"about_ca_system_score_gemma":0.000050481573,"threshold_uncertainty_score":0.43278608},"labels":[],"label_agreement":null},{"id":"W2753039881","doi":"10.1167/17.10.1197","title":"Attentional blink as a product of attentional control signals: A computational investigation","year":2017,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Attentional blink; Rapid serial visual presentation; Attentional control; Psychology; Cognitive psychology; Visual attention; Cognition; Working memory; Neuroscience","score_opus":0.039334395245425355,"score_gpt":0.31898626636074384,"score_spread":0.2796518711153185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2753039881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98848134,0.000029150606,0.0037441817,0.006564146,0.00074919814,0.00014863307,0.000019260146,0.000006974774,0.00025711668],"genre_scores_gemma":[0.99832976,0.000012183788,0.00068205444,0.0004230203,0.0003079277,0.0000014354533,0.000004949466,0.0000091252805,0.00022955249],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9981267,0.00013187875,0.00057431345,0.00019915742,0.0008499772,0.00011795789],"domain_scores_gemma":[0.9975412,0.0002537233,0.0014618485,0.00015937357,0.00049308327,0.000090799454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006975298,0.00010382753,0.000210197,0.00018333987,0.00032840617,0.0001267115,0.0002897767,0.000042596686,0.00010511486],"category_scores_gemma":[0.0014244986,0.00008281608,0.0001889179,0.0000865186,0.00019746381,0.0007429723,0.000046190627,0.00019879904,0.0000224832],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003201341,0.00019872317,0.0055566817,0.0000259275,0.000020706608,0.000024089573,0.000026550131,0.0059518153,0.9758186,0.005993401,0.001228859,0.0048345285],"study_design_scores_gemma":[0.004477275,0.0016142863,0.79833615,0.000435462,0.0000792811,0.0007282997,0.000017310711,0.065401666,0.03479724,0.092982486,0.00087417645,0.00025638207],"about_ca_topic_score_codex":0.0000051843826,"about_ca_topic_score_gemma":8.512189e-7,"teacher_disagreement_score":0.9410213,"about_ca_system_score_codex":0.00003544335,"about_ca_system_score_gemma":0.0001442619,"threshold_uncertainty_score":0.33771414},"labels":[],"label_agreement":null},{"id":"W2753478099","doi":"10.1017/cjn.2017.215","title":"Toward Theoretical and Experimental Synergies in Neuroscience: A Personal View","year":2017,"lang":"en","type":"review","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Content (measure theory); Action (physics); Neuroscience; Psychology; Computer science; Physics; Mathematics","score_opus":0.11209359721049114,"score_gpt":0.3449768324175791,"score_spread":0.23288323520708795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2753478099","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29592535,0.69702953,0.00000375715,0.0015942056,0.0024051855,0.00044958704,0.000036419395,0.000022732118,0.002533222],"genre_scores_gemma":[0.38513777,0.6128448,0.000089965695,0.0016176496,0.00025067118,0.0000088902525,2.4737196e-7,0.000024610532,0.000025370102],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9914007,0.002427681,0.0016080692,0.0014062313,0.0012075956,0.0019497147],"domain_scores_gemma":[0.9943368,0.0014308578,0.0017774759,0.0002576234,0.00014733078,0.0020499227],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":["sts"],"category_scores_codex":[0.0046966653,0.0008196915,0.0019429284,0.0019479712,0.003992555,0.0027312378,0.0041726553,0.00046885494,0.0001387939],"category_scores_gemma":[0.007065645,0.0005212871,0.0006213098,0.0013980931,0.024455102,0.0016248766,0.00031696845,0.002838963,0.0000055168302],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024585545,0.00034464005,0.012751984,0.001302201,0.000033425404,0.09617525,0.0018456494,0.000405335,0.00013443982,0.058722146,0.0010707569,0.8269683],"study_design_scores_gemma":[0.0008669334,0.08805471,0.0017419697,0.0036373644,0.00026011464,0.26939645,0.00032159095,0.0035068488,0.000053751446,0.029998275,0.59985036,0.0023116234],"about_ca_topic_score_codex":0.00028407382,"about_ca_topic_score_gemma":0.0036019492,"teacher_disagreement_score":0.82465667,"about_ca_system_score_codex":0.00035986752,"about_ca_system_score_gemma":0.00480717,"threshold_uncertainty_score":0.99972385},"labels":[],"label_agreement":null},{"id":"W2753993079","doi":"10.1109/embc.2017.8037302","title":"Low-latency VLSI architecture for neural cross-frequency coupling analysis","year":2017,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Very-large-scale integration; Latency (audio); Computer science; Neuroscience; Epilepsy; Neuromodulation; Computer architecture; Embedded system; Stimulation; Psychology; Telecommunications","score_opus":0.033721842005474144,"score_gpt":0.3115237629095507,"score_spread":0.27780192090407657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2753993079","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98137593,0.0000054207126,0.013952492,0.0010893267,0.0006468202,0.00027936752,0.00003798809,0.000104197396,0.00250843],"genre_scores_gemma":[0.9963595,0.0000066173857,0.0004476289,0.0006269565,0.00013362581,0.000015965365,0.000009165753,0.000018035062,0.0023825008],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99866164,0.00001259977,0.0002287047,0.0005466225,0.00020137445,0.00034907443],"domain_scores_gemma":[0.9988117,0.00016558568,0.00018567004,0.00068142894,0.000063823114,0.00009177822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012196529,0.00016493269,0.00020924074,0.00013263659,0.0010801986,0.0005525765,0.0005471358,0.00007221118,0.00010978676],"category_scores_gemma":[0.0006915357,0.00012631781,0.00028630672,0.00019057705,0.00014842766,0.0003123926,0.00009239285,0.00015540372,0.000017654325],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008476791,0.000091032125,0.04048605,0.000047272402,0.00005596421,0.00002645692,0.000045408826,0.03397392,0.9066145,0.010971412,0.000089878646,0.0075133643],"study_design_scores_gemma":[0.00082206505,0.00019981757,0.06873582,0.000009717928,0.00017176398,0.000014136626,0.000009290824,0.8104155,0.105264455,0.013633894,0.00025680414,0.00046671747],"about_ca_topic_score_codex":0.00009152487,"about_ca_topic_score_gemma":0.0001768845,"teacher_disagreement_score":0.80135,"about_ca_system_score_codex":0.000019865125,"about_ca_system_score_gemma":0.000016221336,"threshold_uncertainty_score":0.8308123},"labels":[],"label_agreement":null},{"id":"W2754128503","doi":"10.1101/189217","title":"Repeated performance in problem-solving tasks attenuates human cortical responses","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Advanced Research","keywords":"Repetition (rhetorical device); Task (project management); Sensory system; Psychology; Brain activity and meditation; Neuroscience; Sensory processing; Audiology; Cognitive psychology; Electroencephalography; Medicine","score_opus":0.034117433842120355,"score_gpt":0.2587937147225025,"score_spread":0.22467628088038216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2754128503","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997248,0.00007548058,0.000036671467,0.00033261828,0.00096010667,0.00081832614,0.000075083495,0.00038330982,0.0000704355],"genre_scores_gemma":[0.9986704,0.00019455078,0.00034246093,0.00023021376,0.00022736882,0.00015498181,3.668692e-7,0.000118204276,0.000061474064],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9960259,0.00038986825,0.0007337881,0.0015643762,0.00050832395,0.00077770575],"domain_scores_gemma":[0.996985,0.00022979995,0.00064471154,0.001712837,0.00021702038,0.00021063744],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009969217,0.0005775802,0.0005893619,0.0004086169,0.0007419553,0.0005709049,0.0009995704,0.00048482858,0.000028902978],"category_scores_gemma":[0.0018476708,0.00057743985,0.0001335754,0.00034946902,0.00032096214,0.0003866144,0.00084032904,0.0016110152,0.000068993075],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009119535,0.00011600123,0.034654573,0.00023190437,0.000010520897,0.00017473348,0.000008947135,0.00008868296,0.9640741,0.0004949274,0.00005090431,0.0000035064297],"study_design_scores_gemma":[0.0004858442,0.00012910676,0.49541137,0.00079081435,0.00003257416,1.013659e-7,9.722546e-7,0.0046179807,0.49717268,0.00001009271,0.000576922,0.0007715289],"about_ca_topic_score_codex":0.00007738483,"about_ca_topic_score_gemma":0.000009353579,"teacher_disagreement_score":0.46690142,"about_ca_system_score_codex":0.00028199228,"about_ca_system_score_gemma":0.00032369958,"threshold_uncertainty_score":0.9996677},"labels":[],"label_agreement":null},{"id":"W2754645227","doi":"10.3389/fncel.2017.00272","title":"Mechanisms of Hierarchical Cortical Maturation","year":2017,"lang":"en","type":"review","venue":"Frontiers in Cellular Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research; Sinneave Family Foundation","keywords":"Neuroscience; Associative property; Cortical neurons; Psychology; Biology; Computer science","score_opus":0.08935788057289704,"score_gpt":0.32164977676313594,"score_spread":0.2322918961902389,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2754645227","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00012282503,0.82361335,0.15011264,0.00011271377,0.022006508,0.0022075085,0.00013291682,0.00012297278,0.0015685895],"genre_scores_gemma":[0.0025329636,0.99533844,0.0010586353,0.0001292982,0.00006015632,0.000040281466,0.000012192428,0.000050581893,0.00077745394],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962774,0.0005444008,0.0008196236,0.0011566805,0.0006958572,0.00050601666],"domain_scores_gemma":[0.99804175,0.0002027381,0.0007047636,0.00088594324,0.000023000974,0.00014177785],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005045513,0.00039076418,0.0012830617,0.0004894897,0.00029566462,0.00016124087,0.0014603675,0.00029613404,0.0000076288225],"category_scores_gemma":[0.0019342153,0.00033460604,0.00035989142,0.00061850005,0.00069658493,0.0002998,0.00029635872,0.00097483466,0.000012150308],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004035012,0.00023587834,0.0000056722347,0.0036500278,0.0000030761737,0.0004384956,0.000023847706,0.000020361458,0.06735874,0.015065269,0.0005324837,0.9126258],"study_design_scores_gemma":[0.00030944843,0.00033577214,0.000033601144,0.0029839762,0.00013677435,0.00015264652,0.0000053495824,0.01963677,0.005887857,0.012186263,0.9574288,0.0009027543],"about_ca_topic_score_codex":0.0000033232002,"about_ca_topic_score_gemma":7.165618e-7,"teacher_disagreement_score":0.9568963,"about_ca_system_score_codex":0.000088796936,"about_ca_system_score_gemma":0.00022169111,"threshold_uncertainty_score":0.9999106},"labels":[],"label_agreement":null},{"id":"W2754844655","doi":"10.1016/j.plrev.2017.09.001","title":"Answering Schrödinger's question: A free-energy formulation","year":2017,"lang":"en","type":"review","venue":"Physics of Life Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":358,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Wellcome Trust; Wellcome","keywords":"Computer science; Cognitive science; Ontology; Heuristic; Homo sapiens; Artificial intelligence; Neuroethology; Cognitive neuroscience; Cognition; Epistemology; Neuroscience; Psychology; Sociology; Philosophy","score_opus":0.23308923562666592,"score_gpt":0.39053800047025417,"score_spread":0.15744876484358825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2754844655","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[9.745416e-7,0.9939594,0.0022778742,0.000031568394,0.0007527931,0.0006654349,0.00004535737,0.00004728511,0.002219299],"genre_scores_gemma":[0.0000460825,0.9982032,0.00021193003,0.00009734188,0.00088794605,0.00012522771,0.00004480973,0.000059947793,0.00032349376],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973909,0.00035070555,0.0010843328,0.00059159385,0.00032262382,0.00025980143],"domain_scores_gemma":[0.99593514,0.00023483679,0.0023084052,0.0013508914,0.000055992958,0.000114723596],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004572323,0.00045445183,0.0022633325,0.00009899525,0.00022296504,0.00011310624,0.0008746546,0.00016035876,0.000011996459],"category_scores_gemma":[0.0015901073,0.00035317807,0.0009269098,0.0002852578,0.00006497479,0.0004928323,0.00025872537,0.00029055006,0.000059360704],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000166782,0.00003126938,4.925705e-7,0.0104599465,0.000009947992,0.0000011930875,0.0000032594073,0.0000022479026,0.000050453502,0.034727383,0.00042947844,0.95428264],"study_design_scores_gemma":[0.000078807505,0.00003822418,3.7919494e-7,0.014492733,0.00018943583,0.000006399135,1.4893838e-7,0.0003012858,0.00003054212,0.0031984018,0.98135006,0.00031355768],"about_ca_topic_score_codex":0.000023964407,"about_ca_topic_score_gemma":0.0000038612575,"teacher_disagreement_score":0.9809206,"about_ca_system_score_codex":0.00006347321,"about_ca_system_score_gemma":0.00013612353,"threshold_uncertainty_score":0.999892},"labels":[],"label_agreement":null},{"id":"W2756061916","doi":"10.1016/j.neunet.2017.08.011","title":"A new approach to optimal control of conductance-based spiking neurons","year":2017,"lang":"en","type":"article","venue":"Neural Networks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Fundamental Research Funds for the Central Universities; Higher Education Discipline Innovation Project; National Natural Science Foundation of China","keywords":"Nonlinear system; Homotopy; Mathematics; Conductance; Optimal control; Affine transformation; Pontryagin's minimum principle; Maximum principle; Boundary value problem; Homotopy analysis method; Control theory (sociology); Mathematical optimization; Computer science; Applied mathematics; Mathematical analysis; Control (management); Artificial intelligence; Physics; Pure mathematics; Combinatorics","score_opus":0.045326522078428105,"score_gpt":0.26755116663656736,"score_spread":0.22222464455813926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2756061916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70024586,0.00002579586,0.28667066,0.0025173642,0.002287706,0.00087815314,0.000021609118,0.00013261277,0.00722024],"genre_scores_gemma":[0.9952558,0.000003123635,0.0009928562,0.0028963375,0.00036930165,0.000015448994,0.0000024365957,0.000028899589,0.000435773],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99843305,0.000085101936,0.00026220584,0.0005465149,0.00025992913,0.00041316712],"domain_scores_gemma":[0.99859434,0.0001889667,0.0002629248,0.00070515403,0.000037202874,0.00021143738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011850742,0.00020005739,0.00028385836,0.0000625915,0.0003924597,0.00018959382,0.00065899175,0.00008292806,0.00003427343],"category_scores_gemma":[0.0003679263,0.00017699864,0.00012748796,0.00014189107,0.00011082108,0.00023412108,0.000099592944,0.00030036122,0.000009754396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048040037,0.00011021344,0.0012310998,0.000019410265,0.000006623479,0.000031289965,0.00003929425,0.7669918,0.19912067,0.0036597878,0.002864959,0.025444452],"study_design_scores_gemma":[0.0010606733,0.00019096592,0.0028879119,0.000017402437,0.000016914888,0.000015333468,0.000003649431,0.98945767,0.0051831137,0.000058253096,0.0009128401,0.00019524807],"about_ca_topic_score_codex":0.000037574522,"about_ca_topic_score_gemma":0.0000057589687,"teacher_disagreement_score":0.29500997,"about_ca_system_score_codex":0.000017797904,"about_ca_system_score_gemma":0.000033279488,"threshold_uncertainty_score":0.7217795},"labels":[],"label_agreement":null},{"id":"W2756096081","doi":"10.1002/9781119159193.ch7","title":"Oscillatory Dynamics of Brain Microcircuits","year":2017,"lang":"en","type":"other","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Dynamics (music); Neuroscience; Field (mathematics); Cognitive science; Doctrine; Computer science; Statistical physics; Psychology; Physics; Philosophy; Mathematics","score_opus":0.023535609957834942,"score_gpt":0.2580565345850447,"score_spread":0.23452092462720975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2756096081","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00026507152,0.000043986718,0.0003458875,0.00031530036,0.0011300974,0.00020923272,0.00018571537,0.00014736012,0.99735737],"genre_scores_gemma":[0.008513979,0.00009595214,0.000037580376,0.0006588725,0.00013043395,0.0000031295347,0.00001517285,0.00022593104,0.99031895],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990117,0.00003858732,0.0001381022,0.00041009745,0.00021481077,0.00018668703],"domain_scores_gemma":[0.99889433,0.000085047046,0.00037023806,0.0005845323,0.00001373342,0.000052103092],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000070457856,0.00019663917,0.00027134287,0.00017373981,0.00006368856,0.000031296826,0.00042867044,0.00023722726,0.0009952898],"category_scores_gemma":[0.00023987527,0.00017012807,0.00010752884,0.00005890343,0.00017661558,0.000037203878,0.00009268601,0.00015491067,0.000121517565],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033955846,0.00002769427,0.000038086502,0.00009674076,0.0000076011597,0.000010910929,0.0000048529587,7.2262645e-7,0.089930005,0.017524373,0.88106453,0.0112910615],"study_design_scores_gemma":[0.00021728537,0.00005066698,0.000045369452,0.00013388784,0.000011223265,0.00001547131,0.0000027023304,0.0008885313,0.0060569053,0.00068692374,0.99158686,0.0003041689],"about_ca_topic_score_codex":0.00014021643,"about_ca_topic_score_gemma":0.0005664104,"teacher_disagreement_score":0.11052231,"about_ca_system_score_codex":0.000037875518,"about_ca_system_score_gemma":0.000046599558,"threshold_uncertainty_score":0.9999179},"labels":[],"label_agreement":null},{"id":"W2757329462","doi":"10.7554/elife.32054","title":"Stochastic resonance mediates the state-dependent effect of periodic stimulation on cortical alpha oscillations","year":2017,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Krembil Foundation","funders":"National Institute of Mental Health; Natural Sciences and Engineering Research Council of Canada","keywords":"Stimulation; Neuroscience; Rhythm; Brain stimulation; Brain activity and meditation; Alpha (finance); Endogeny; Population; Stochastic resonance; Resting state fMRI; Physics; Psychology; Electroencephalography; Biology; Noise (video); Computer science; Medicine; Endocrinology; Developmental psychology","score_opus":0.023855367264432277,"score_gpt":0.29143349447208966,"score_spread":0.2675781272076574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2757329462","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997456,0.000017610068,0.00076032674,0.00058817,0.00057526806,0.0003058308,0.000026757327,0.000029257159,0.00024076145],"genre_scores_gemma":[0.9994252,0.000015080001,0.0000054368243,0.00018371512,0.00007382221,0.000015512014,0.000002134837,0.000010445195,0.00026868036],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988483,0.00014384187,0.00017379379,0.00023079888,0.0004511789,0.00015207512],"domain_scores_gemma":[0.9982362,0.001112123,0.00016016199,0.000408952,0.00003502328,0.00004757108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030769504,0.00009922519,0.00012329046,0.000033394415,0.0006466983,0.00008935557,0.00019769702,0.00003058599,0.000024234849],"category_scores_gemma":[0.0032881817,0.00006132272,0.00004777213,0.00005203244,0.0002012454,0.000107439126,0.00006248099,0.00015499971,0.000061162835],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018148109,0.0003123612,0.03493183,0.00008402169,0.00002478138,0.00005138999,0.0011252502,0.14017001,0.761856,0.009280324,0.0011134321,0.049235787],"study_design_scores_gemma":[0.0012327655,0.0012180823,0.5176874,0.00006287934,0.000031930664,0.000009867293,0.00000919131,0.3824454,0.09618491,0.00056251313,0.00033701275,0.00021804565],"about_ca_topic_score_codex":0.000024110977,"about_ca_topic_score_gemma":0.000018406978,"teacher_disagreement_score":0.6656711,"about_ca_system_score_codex":0.000023382601,"about_ca_system_score_gemma":0.00002113506,"threshold_uncertainty_score":0.4973946},"labels":[],"label_agreement":null},{"id":"W2757342651","doi":"","title":"Content Specificity of the Contralateral Delay Activity","year":2013,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto","keywords":"Psychology; Stimulus (psychology); Cognitive psychology; Working memory; Perception; Cognition; Consciousness; Communication; Neuroscience","score_opus":0.03027609032731813,"score_gpt":0.23276683713973284,"score_spread":0.20249074681241472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2757342651","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9692747,0.000030541873,0.000027969018,0.00021111453,0.0009416486,0.0003826338,0.000048972313,0.000020532396,0.029061912],"genre_scores_gemma":[0.9508473,0.00012658584,0.000021727124,0.000020443858,0.00002116182,2.84103e-7,0.000011386072,0.000010901036,0.048940178],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990041,0.00011546171,0.0000996436,0.00030182948,0.0003054364,0.00017352322],"domain_scores_gemma":[0.99895215,0.00007785709,0.0004775009,0.00032598924,0.00011371082,0.00005276947],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000059293718,0.00016796327,0.0003139454,0.000023349185,0.00016340011,0.000012286762,0.00043260766,0.00016949364,0.0038018308],"category_scores_gemma":[0.000045107903,0.00014838492,0.0002473716,0.000056040048,0.00012603539,0.0003280892,0.00006619807,0.00019440736,0.000010619866],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040303878,0.00011611588,0.00026211634,0.00009078748,0.00002726499,0.0000051944376,0.001924188,0.00001134197,0.98368543,0.0016877545,0.0004329318,0.0113538215],"study_design_scores_gemma":[0.00070805795,0.00018500623,0.8921988,0.00011617086,0.00009839436,0.0000037043349,0.0030700564,0.0016578326,0.1011538,0.000052540672,0.00046003048,0.00029560077],"about_ca_topic_score_codex":0.077831015,"about_ca_topic_score_gemma":0.041590117,"teacher_disagreement_score":0.8919367,"about_ca_system_score_codex":0.0001623907,"about_ca_system_score_gemma":0.00005336202,"threshold_uncertainty_score":0.9971088},"labels":[],"label_agreement":null},{"id":"W2757986490","doi":"10.1016/j.bbr.2017.09.044","title":"A mouse’s spontaneous eating repertoire aids performance on laboratory skilled reaching tasks: A motoric example of instinctual drift with an ethological description of the withdraw movements in freely-moving and head-fixed mice","year":2017,"lang":"en","type":"article","venue":"Behavioural Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Psychology; Movement (music); Communication; Physical medicine and rehabilitation; Head (geology); Transfer (computing); Cognitive psychology; Task (project management); Neuroscience; Developmental psychology; Computer science; Medicine; Biology; Engineering","score_opus":0.12758295613416137,"score_gpt":0.3396626235346095,"score_spread":0.21207966740044815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2757986490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99894565,0.0000061108794,0.000011248134,0.00013586033,0.000077825345,0.0006517864,0.000025461264,0.000023076205,0.00012295556],"genre_scores_gemma":[0.9991225,0.000008467682,0.00033639994,0.000104141116,0.00002340048,0.000040844538,0.0000043120654,0.000024905323,0.00033503678],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9967267,0.0009801948,0.00037412185,0.0005935095,0.00088719523,0.0004382783],"domain_scores_gemma":[0.9981596,0.000609276,0.00028416084,0.00069856003,0.00015497871,0.00009343205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021203312,0.00018758592,0.0002715976,0.00022030411,0.00092356355,0.00014344543,0.00059004745,0.000118837226,0.0000057550265],"category_scores_gemma":[0.002924283,0.00012390176,0.000036165362,0.0003622098,0.0005803804,0.0005039362,0.00033227127,0.00081957056,5.3835737e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054972054,0.00017376419,0.29641944,0.00003572602,0.000001960458,0.00008091707,0.000948892,0.000057858975,0.6981849,0.00016861346,0.0000030768538,0.0033751077],"study_design_scores_gemma":[0.0013558674,0.0031430337,0.93151677,0.00041306505,0.000004921551,0.00009977307,0.00061476027,0.007860955,0.054730173,0.000047259637,0.00001050502,0.00020291154],"about_ca_topic_score_codex":0.0039247274,"about_ca_topic_score_gemma":0.0015718646,"teacher_disagreement_score":0.64345473,"about_ca_system_score_codex":0.00014192644,"about_ca_system_score_gemma":0.0000936188,"threshold_uncertainty_score":0.7103397},"labels":[],"label_agreement":null},{"id":"W2758909918","doi":"10.1007/978-3-319-57379-3_4","title":"Neuronal Correlation Parameter and the Idea of Thermodynamic Entropy of an N-Body Gravitationally Bounded System","year":2017,"lang":"en","type":"article","venue":"Advances in experimental medicine and biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Entropy (arrow of time); Computation; Interpretation (philosophy); Measure (data warehouse); Computer science; Correlation; Action (physics); Statistical physics; Human brain; Simple (philosophy); Bounded function; Cognition; Artificial intelligence; Neuroscience; Mathematics; Theoretical computer science; Physics; Algorithm; Psychology; Data mining; Mathematical analysis; Quantum mechanics","score_opus":0.023552711442958618,"score_gpt":0.33236254828212103,"score_spread":0.3088098368391624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2758909918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980495,0.0006672065,0.00010444558,0.00024661294,0.00035034245,0.00016613642,0.000005361982,0.000004075726,0.00040632155],"genre_scores_gemma":[0.9995326,0.0002112722,0.00005937535,0.00013732411,0.000029274699,0.0000113896185,0.000006504293,0.0000032886933,0.000009009884],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993528,0.00012468155,0.00020337298,0.00017766317,0.000066072455,0.000075419004],"domain_scores_gemma":[0.9992334,0.00038590963,0.00022451661,0.0001248492,0.000012874839,0.000018445202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013388178,0.000070962735,0.00017628068,0.000038879272,0.00009915073,0.000006008129,0.00010480807,0.000029293557,0.000003175799],"category_scores_gemma":[0.00018336107,0.000039812094,0.000014038938,0.000026327338,0.0012327224,0.00016464974,0.00004023441,0.000055568475,1.2356497e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034751528,0.000027999711,0.0033778658,0.000014465927,0.0000020406242,0.0000011812723,0.00020055252,0.000007319801,0.78115785,0.21173827,3.0757178e-7,0.0031246203],"study_design_scores_gemma":[0.02160295,0.009520721,0.23290905,0.00045506805,0.00007510628,0.0002848433,0.004956073,0.28946522,0.27910188,0.16059336,0.00047311757,0.0005626184],"about_ca_topic_score_codex":0.0000653701,"about_ca_topic_score_gemma":0.000011557321,"teacher_disagreement_score":0.502056,"about_ca_system_score_codex":0.00000836422,"about_ca_system_score_gemma":0.0000049054393,"threshold_uncertainty_score":0.4542017},"labels":[],"label_agreement":null},{"id":"W2760272469","doi":"10.1523/eneuro.0245-17.2017","title":"Emergence of β-Band Oscillations in the Aged Rat Amygdala during Discrimination Learning and Decision Making Tasks","year":2017,"lang":"en","type":"article","venue":"eNeuro","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institutes of Health; Canadian Institutes of Health Research; Evelyn F. McKnight Brain Research Foundation; McKnight Foundation; National Institute on Aging; Brain Research Foundation","keywords":"Basolateral amygdala; Amygdala; Psychology; Task (project management); Cognitive psychology; Local field potential; Neuroscience; Audiology; Computer science; Developmental psychology; Medicine","score_opus":0.033200707689350226,"score_gpt":0.30832705175721775,"score_spread":0.2751263440678675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2760272469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980727,0.00000991806,0.00029034037,0.00022860688,0.00028255166,0.00010656974,0.0000014877421,0.000010252284,0.0009976081],"genre_scores_gemma":[0.99970025,0.00008598369,0.000042165426,0.000047777303,0.000025088055,0.0000042787424,5.1250555e-7,0.0000065185386,0.000087414846],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992685,0.0000951828,0.00014212058,0.00020917846,0.0001807428,0.00010432202],"domain_scores_gemma":[0.99926776,0.0003748985,0.00014391726,0.00018768905,0.0000122676265,0.000013478519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019004158,0.000065761276,0.00006882621,0.00006633246,0.00060986396,0.00010189162,0.00016826169,0.000021467622,0.000013350078],"category_scores_gemma":[0.0017525089,0.000048775866,0.000022131768,0.000087484885,0.00006975851,0.00022546439,0.00006491411,0.0001450644,0.0000012596684],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029098692,0.000017552471,0.031978566,0.000015112376,4.017467e-7,0.000015758285,0.0005406343,0.00073382695,0.9545646,0.00054576446,0.000020970921,0.011537724],"study_design_scores_gemma":[0.0003407004,0.0000657756,0.93066275,0.00008070583,0.00000672654,0.000026201067,0.00019894906,0.011539757,0.054607317,0.0022448665,0.000111799236,0.0001144404],"about_ca_topic_score_codex":0.00000910603,"about_ca_topic_score_gemma":0.000059832117,"teacher_disagreement_score":0.8999573,"about_ca_system_score_codex":0.000004205734,"about_ca_system_score_gemma":0.000004379529,"threshold_uncertainty_score":0.46906424},"labels":[],"label_agreement":null},{"id":"W2761574793","doi":"10.3389/fpsyg.2017.01657","title":"Dynamic Brains and the Changing Rules of Neuroplasticity: Implications for Learning and Recovery","year":2017,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":228,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Neuroplasticity; Neuroscience; Psychology; Plasticity; Brain function; Cognitive psychology","score_opus":0.02156060763464114,"score_gpt":0.31021670627991343,"score_spread":0.2886560986452723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2761574793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88868064,0.00011907999,0.101961866,0.00664709,0.0013199619,0.0003242634,0.000023401937,0.000014168498,0.0009095604],"genre_scores_gemma":[0.99674374,0.00076063245,0.0016355902,0.00059991254,0.000017625627,0.000030524778,0.0000016372753,0.000010090225,0.00020023769],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9993907,0.00007325011,0.0001164463,0.00024418777,0.000027073957,0.0001483242],"domain_scores_gemma":[0.99937445,0.00029403725,0.00013002088,0.00017352594,0.000010213335,0.000017767037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020470118,0.00006196544,0.00013357133,0.000114182236,0.00034277953,0.000036050904,0.00013413622,0.00004081633,7.3725306e-7],"category_scores_gemma":[0.000890437,0.00004822447,0.000023925622,0.000040783034,0.00042135137,0.00007740832,0.000062804706,0.00011130256,2.3626502e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012996491,0.000091538685,0.1020852,0.00008721087,0.000026003312,0.0000047256794,0.0007624739,0.00006929382,0.10716536,0.045163266,0.0013421498,0.7419031],"study_design_scores_gemma":[0.0062086154,0.00055727793,0.462889,0.000054370797,0.000046907375,0.00013103857,0.00020048142,0.13820998,0.00040636424,0.38191912,0.009037671,0.00033917048],"about_ca_topic_score_codex":0.0000025565446,"about_ca_topic_score_gemma":0.0000053682243,"teacher_disagreement_score":0.741564,"about_ca_system_score_codex":0.0000052256964,"about_ca_system_score_gemma":0.000004173739,"threshold_uncertainty_score":0.26364174},"labels":[],"label_agreement":null},{"id":"W2761700512","doi":"10.1016/j.nbd.2017.10.007","title":"Brief activation of GABAergic interneurons initiates the transition to ictal events through post-inhibitory rebound excitation","year":2017,"lang":"en","type":"article","venue":"Neurobiology of Disease","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":117,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Brain Institute; Krembil Foundation; University of Toronto","funders":"Canadian Institutes of Health Research; Ontario Brain Institute","keywords":"GABAergic; Inhibitory postsynaptic potential; Neuroscience; Ictal; Psychology; Biology; Electroencephalography","score_opus":0.031095843323975445,"score_gpt":0.28424327239800606,"score_spread":0.2531474290740306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2761700512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99435806,0.0000021498051,0.0002033003,0.00402431,0.0006513758,0.0003552021,0.00013664675,0.000022575512,0.00024639757],"genre_scores_gemma":[0.9976878,0.000011674459,0.00001010499,0.002118927,0.000063848274,0.000017600014,0.000029055986,0.000013452635,0.000047527607],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99891776,0.00022448023,0.0002493141,0.0003257124,0.00013028382,0.00015243067],"domain_scores_gemma":[0.9989211,0.000245419,0.0002934729,0.0003960065,0.0000840083,0.000060022016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000079435624,0.00012242784,0.00013739384,0.000057913676,0.00027170748,0.000022687354,0.00031192304,0.000044770986,0.00001856106],"category_scores_gemma":[0.0008617451,0.000096145355,0.00010347994,0.0000677344,0.0002918587,0.00036313472,0.00007780863,0.000116733405,0.000008185105],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063245354,0.0001419424,0.0005720207,0.000032278967,0.0000046886967,0.0000015822357,0.00028149574,0.00012372655,0.996324,0.0014509006,0.00010217399,0.0003327524],"study_design_scores_gemma":[0.00092846795,0.00115545,0.4918288,0.00009743109,0.00005450955,0.0000041335634,0.00007058281,0.00047856345,0.49841195,0.006584092,0.00017823052,0.0002077822],"about_ca_topic_score_codex":0.000038372924,"about_ca_topic_score_gemma":0.000008122898,"teacher_disagreement_score":0.49791205,"about_ca_system_score_codex":0.000012449549,"about_ca_system_score_gemma":0.00003847515,"threshold_uncertainty_score":0.3920694},"labels":[],"label_agreement":null},{"id":"W2761883856","doi":"10.1371/journal.pone.0193107","title":"A non-invasive, quantitative study of broadband spectral responses in human visual cortex","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institutes of Health; National Institute of Mental Health; National Institute of Information and Communications Technology; Iran Telecommunication Research Center; National Eye Institute; York University","keywords":"Magnetoencephalography; Electrocorticography; Stimulus (psychology); Broadband; Electroencephalography; Local field potential; Computer science; Visual cortex; Neuroscience; Auditory cortex; Artificial intelligence; Pattern recognition (psychology); Psychology; Telecommunications","score_opus":0.08857547312396462,"score_gpt":0.322790937980109,"score_spread":0.23421546485614436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2761883856","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99873453,0.0000026596683,0.000004685359,0.00003960223,0.000055085267,0.00044384346,0.000007803446,0.000022036034,0.0006897333],"genre_scores_gemma":[0.9992769,0.0000061965525,0.000051250667,0.00008715824,0.000045599958,0.000013403016,0.0000010018873,0.000012358774,0.0005061259],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988544,0.00012858138,0.00022746414,0.0003140987,0.00029884465,0.00017662316],"domain_scores_gemma":[0.99938124,0.00026799025,0.000102662285,0.0001526002,0.000059329654,0.000036183646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012419278,0.00009805892,0.00020435349,0.00017443298,0.00009819453,0.000021217547,0.00012390074,0.000028056673,0.000047558984],"category_scores_gemma":[0.00043747533,0.00009102237,0.000023141627,0.00035947844,0.00015011775,0.000115239214,0.000049838232,0.00011277034,0.000024170193],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045074607,0.0042447173,0.027776847,0.000017940514,0.000012558063,0.000025393128,0.0012573398,9.674148e-7,0.9658804,0.00030382437,0.00001139411,0.000017859124],"study_design_scores_gemma":[0.001100049,0.008031829,0.2675715,0.00007867995,0.000022351556,0.0000019192855,0.0004997867,0.0014494502,0.72081363,0.0003080354,0.0000010024652,0.0001217612],"about_ca_topic_score_codex":0.000121502926,"about_ca_topic_score_gemma":0.00091946265,"teacher_disagreement_score":0.24506679,"about_ca_system_score_codex":0.000024901727,"about_ca_system_score_gemma":0.000026395328,"threshold_uncertainty_score":0.37117845},"labels":[],"label_agreement":null},{"id":"W2762506504","doi":"10.1101/202655","title":"Unsupervised detection of cell-assembly sequences with edit similarity score","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"RIKEN; Japan Society for the Promotion of Science; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Computer science; Similarity (geometry); Spike (software development); Cluster analysis; Pattern recognition (psychology); Artificial intelligence; String (physics); Population; Mathematics","score_opus":0.02774035439592509,"score_gpt":0.22517284802352816,"score_spread":0.19743249362760307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2762506504","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99497455,0.0000793648,0.001380155,0.00015007342,0.0022055812,0.00070723845,0.00020190113,0.00025780505,0.00004333374],"genre_scores_gemma":[0.99853957,0.0001962729,0.0005251154,0.0001450662,0.000406339,0.00008653145,1.8870105e-7,0.00009041803,0.000010512449],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9969333,0.00018139897,0.00045832645,0.0012730103,0.0006698908,0.00048408302],"domain_scores_gemma":[0.9968137,0.00012415969,0.0008986344,0.0015563002,0.0004054721,0.0002017041],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042181497,0.0005388349,0.00056824327,0.00024676276,0.0004383015,0.00033175776,0.0009211459,0.00047412008,0.000013966448],"category_scores_gemma":[0.00041019512,0.00048506793,0.00015853684,0.00034444386,0.00032661957,0.00036551236,0.00040506496,0.0008847574,0.0000170385],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008014135,0.00011052088,0.001843753,0.00042036478,0.000016942897,0.000055420587,0.0000043158807,0.00015394986,0.9971738,0.00011635274,0.000019393674,0.000005068959],"study_design_scores_gemma":[0.00040441606,0.00020640764,0.023283057,0.00030335886,0.00007745493,4.878832e-8,0.0000012337129,0.0033396177,0.9715443,0.000008396032,0.00028234394,0.00054935727],"about_ca_topic_score_codex":0.00014000741,"about_ca_topic_score_gemma":0.00001886355,"teacher_disagreement_score":0.025629468,"about_ca_system_score_codex":0.00015754624,"about_ca_system_score_gemma":0.00049096637,"threshold_uncertainty_score":0.9997601},"labels":[],"label_agreement":null},{"id":"W2763429250","doi":"10.1016/j.neuroimage.2017.10.002","title":"Effects of neonatal deafness on resting-state functional network connectivity","year":2017,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada Foundation for Innovation","keywords":"Somatosensory system; Sensory system; Neuroscience; Psychology; Context (archaeology); Sensory deprivation; Functional magnetic resonance imaging; Resting state fMRI; Audiology; Sensory processing; Biology; Medicine","score_opus":0.02927598595283872,"score_gpt":0.259081253023933,"score_spread":0.22980526707109425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2763429250","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935772,0.000004852623,0.0010501454,0.00029958203,0.0020333056,0.00024848804,0.000014576128,0.000074183976,0.0026976923],"genre_scores_gemma":[0.99835694,0.000008766335,0.00003112961,0.00058709964,0.00020375993,0.000010858149,0.0000016751644,0.000023745572,0.0007760473],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986194,0.00014729977,0.00016010505,0.00048539575,0.00030750726,0.000280314],"domain_scores_gemma":[0.9980177,0.0011142595,0.00025972087,0.00049900194,0.00003841932,0.000070871254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014690244,0.00015754865,0.00017751238,0.000043760287,0.0005974489,0.000114099676,0.00029311585,0.000038561866,0.000018850502],"category_scores_gemma":[0.002406763,0.00014309083,0.00008274554,0.0000877694,0.0002003634,0.0002666317,0.00015712951,0.00025454134,0.000049271082],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000532125,0.00016911046,0.002855092,0.000092564595,0.0000046790187,0.00037122215,0.000019508449,0.002040752,0.96432805,0.0042579966,0.0019488548,0.023380037],"study_design_scores_gemma":[0.0011889616,0.00062148063,0.5770883,0.000068047884,0.000014475484,0.00005060776,9.54056e-7,0.008954917,0.40608382,0.0041828835,0.0014889743,0.00025655117],"about_ca_topic_score_codex":0.000023818786,"about_ca_topic_score_gemma":0.0000095706655,"teacher_disagreement_score":0.57423323,"about_ca_system_score_codex":0.000012496586,"about_ca_system_score_gemma":0.000022014476,"threshold_uncertainty_score":0.5835075},"labels":[],"label_agreement":null},{"id":"W2763643690","doi":"10.1101/203422","title":"<i>In vivo</i> brain activity imaging of interactively locomoting mice","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"RIKEN; Japan Society for the Promotion of Science; Ministry of Education, Culture, Sports, Science and Technology; University of Alberta; Uehara Memorial Foundation; Naito Foundation","keywords":"Neuroscience; Computer science; Local field potential; Electrophysiology; Cortex (anatomy); Brain activity and meditation; Psychology; Electroencephalography","score_opus":0.019370237173513005,"score_gpt":0.2518731417277485,"score_spread":0.2325029045542355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2763643690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942219,0.000040102022,0.0008402588,0.0015141169,0.002324147,0.0006206127,0.00021506753,0.0001388745,0.000084865445],"genre_scores_gemma":[0.99851996,0.000049791404,0.00034522143,0.0006553805,0.00024655563,0.000058517566,3.6958625e-8,0.000101477206,0.00002308476],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968072,0.00032201066,0.00052737177,0.0013403886,0.00042694373,0.0005760502],"domain_scores_gemma":[0.99671954,0.0004798512,0.0012286747,0.0012276503,0.0001953221,0.00014893658],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00074887136,0.00052765827,0.0006541213,0.00038959878,0.0002204633,0.00029854802,0.0009960886,0.00025594002,0.000032326803],"category_scores_gemma":[0.0020304045,0.0005854893,0.0002019634,0.00030754058,0.00022097594,0.00072354387,0.0009790099,0.0011971997,0.000018828021],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006242669,0.00017008209,0.0027715145,0.0002581553,0.000011535562,0.0000875981,0.000012571063,0.00006830077,0.99600375,0.0003151596,0.00022997605,0.000008951187],"study_design_scores_gemma":[0.00040762316,0.000027373399,0.017312923,0.000565173,0.000020870408,5.3036462e-8,0.0000014004412,0.006463284,0.9735706,0.000012921675,0.00108226,0.0005355196],"about_ca_topic_score_codex":0.0002797706,"about_ca_topic_score_gemma":0.000010047487,"teacher_disagreement_score":0.022433132,"about_ca_system_score_codex":0.00027924211,"about_ca_system_score_gemma":0.0002858897,"threshold_uncertainty_score":0.99965966},"labels":[],"label_agreement":null},{"id":"W2765550266","doi":"10.1093/bja/aex329","title":"Attenuation of high-frequency (30–200 Hz) thalamocortical EEG rhythms as correlate of anaesthetic action: evidence from dexmedetomidine","year":2017,"lang":"en","type":"article","venue":"British Journal of Anaesthesia","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Pfizer Canada; Animal Health Research Institute; Canadian Animal Health Institute; McGill University Health Centre","keywords":"Dexmedetomidine; Isoflurane; Propofol; Anesthesia; Local field potential; Electroencephalography; Chemistry; Medicine; Neuroscience; Biology; Sedation","score_opus":0.044460744613955716,"score_gpt":0.2885280158833773,"score_spread":0.24406727126942157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765550266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99688476,0.00044300625,0.00041878576,0.0012974871,0.00064002216,0.00015594492,0.000013765227,0.000012625154,0.00013359699],"genre_scores_gemma":[0.9951024,0.0040385304,0.0004973555,0.00011562436,0.00013978785,0.0000024441672,0.0000016635526,0.000024193416,0.000077968485],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99765325,0.00020287934,0.00088693283,0.00030290286,0.0007119888,0.00024207054],"domain_scores_gemma":[0.99714243,0.0001808599,0.0017661825,0.00042798818,0.00032749717,0.00015500875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047126625,0.00016918483,0.0004849918,0.00012179845,0.0002741537,0.00013669922,0.0005442398,0.000129189,0.00017527024],"category_scores_gemma":[0.0018486877,0.00017419447,0.00021855753,0.00015152097,0.00036458438,0.0009878231,0.000057355544,0.00038447542,0.000021860491],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060739106,0.00050038163,0.03753225,0.00008354983,0.00006036499,0.003995985,0.00016796708,0.00052451575,0.58173925,0.0035637976,0.00041331988,0.37081125],"study_design_scores_gemma":[0.001153337,0.0020475737,0.8989434,0.002177991,0.00018295071,0.0056303265,0.00005538944,0.0019473865,0.07657902,0.01081849,0.00010052353,0.0003635694],"about_ca_topic_score_codex":0.0014005232,"about_ca_topic_score_gemma":0.00008654949,"teacher_disagreement_score":0.8614112,"about_ca_system_score_codex":0.000064477725,"about_ca_system_score_gemma":0.000147205,"threshold_uncertainty_score":0.71034443},"labels":[],"label_agreement":null},{"id":"W2765831433","doi":"10.1126/science.aan8871","title":"What is consciousness, and could machines have it?","year":2017,"lang":"en","type":"review","venue":"Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":837,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Air Force Office of Scientific Research; European Research Council; Collège de France; Institut National de la Santé et de la Recherche Médicale; National Institute of Neurological Disorders and Stroke; Canadian Institute for Advanced Research; Commissariat à l'Énergie Atomique et aux Énergies Alternatives; Agence Nationale de la Recherche","keywords":"Consciousness; Unconscious mind; Certainty; Computation; Computer science; Cognitive science; Neural correlates of consciousness; Information processing; Cognitive psychology; Psychology; Cognition; Artificial intelligence; Epistemology; Neuroscience; Algorithm","score_opus":0.1363355983450062,"score_gpt":0.40205311458493176,"score_spread":0.26571751623992557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765831433","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000049077018,0.9933405,0.0000059345525,0.00075004564,0.0035663145,0.00047064835,0.00004494243,0.000040876177,0.0017316805],"genre_scores_gemma":[0.00010064115,0.992332,0.000016744487,0.0012248952,0.0000987994,0.000020789632,0.0000019584854,0.000018724539,0.006185473],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99759454,0.00006404685,0.0002821072,0.0010994113,0.0005602415,0.00039967732],"domain_scores_gemma":[0.9984269,0.00022482642,0.00038340664,0.00074851484,0.000056680103,0.00015968733],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00056999834,0.00031005943,0.0006535593,0.00020795633,0.0011190455,0.0020076332,0.001164824,0.00012397338,0.00003899753],"category_scores_gemma":[0.0006522541,0.00021639901,0.00012585601,0.00030497106,0.0022086375,0.0013977042,0.0004623083,0.00032707606,0.000104442435],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.4833997e-7,0.000008132873,0.0000032616156,0.00070701895,0.0000010586925,0.000017105123,0.000033769873,7.5374054e-8,0.00013957873,0.00035905442,0.00037381166,0.9983564],"study_design_scores_gemma":[0.00004737778,0.000028701763,0.000007102621,0.00248361,0.00003690305,0.0001688011,0.000008868555,0.0005547103,0.00004831095,0.0005211254,0.99582005,0.0002744727],"about_ca_topic_score_codex":0.000012257643,"about_ca_topic_score_gemma":0.000016686203,"teacher_disagreement_score":0.9980819,"about_ca_system_score_codex":0.00004967305,"about_ca_system_score_gemma":0.00035572585,"threshold_uncertainty_score":0.9990284},"labels":[],"label_agreement":null},{"id":"W2766030649","doi":"10.1103/physreve.96.062410","title":"Consciousness as a global property of brain dynamic activity","year":2017,"lang":"en","type":"article","venue":"Physical review. E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Toronto Western Hospital; Hospital for Sick Children; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Consciousness; Subconscious; Cognition; Unconscious mind; Psychology; Cognitive science; Cognitive psychology; Level of consciousness; Information processing; Brain activity and meditation; Computer science; Neuroscience; Electroencephalography; Developmental psychology; Medicine","score_opus":0.033176510426773546,"score_gpt":0.3714218901496093,"score_spread":0.33824537972283575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766030649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9796653,0.00010358142,0.00006937827,0.0067281807,0.00022445126,0.00045052505,0.00003349331,0.000035160312,0.012689935],"genre_scores_gemma":[0.99744016,0.0005726972,0.000006547127,0.0014080621,0.000041071366,0.000019400984,9.329862e-7,0.000008338512,0.0005027779],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99893636,0.00011638282,0.00014076244,0.00035036085,0.00026834747,0.0001877837],"domain_scores_gemma":[0.9989007,0.00013467284,0.00025735397,0.00059122744,0.000040234987,0.000075824806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013457287,0.00013276956,0.0003478998,0.000008447436,0.0002012761,0.000047294132,0.0003814184,0.000020962669,0.000014498739],"category_scores_gemma":[0.0023435063,0.00008091921,0.00016221317,0.00009811589,0.0002485984,0.00023619148,0.00016966878,0.000119573066,0.000119518394],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004576736,0.0003338216,0.00030103826,0.00058977806,0.000005397001,0.000013375975,0.000008858059,0.00000170963,0.8287401,0.016790692,0.0006638107,0.15250567],"study_design_scores_gemma":[0.0035151325,0.0025365523,0.14057942,0.006985387,0.00040007435,0.0002481202,0.000010593728,0.1146146,0.42868236,0.21142612,0.08832658,0.0026750509],"about_ca_topic_score_codex":0.00008560963,"about_ca_topic_score_gemma":0.000021043206,"teacher_disagreement_score":0.40005773,"about_ca_system_score_codex":0.000038448223,"about_ca_system_score_gemma":0.000047824073,"threshold_uncertainty_score":0.32997897},"labels":[],"label_agreement":null},{"id":"W2766396684","doi":"10.3389/fncom.2017.00098","title":"Neural Synchronization from the Perspective of Non-linear Dynamics","year":2017,"lang":"en","type":"article","venue":"Frontiers in Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children; SickKids Foundation; University of Toronto","funders":"","keywords":"Perspective (graphical); Dynamics (music); Synchronization (alternating current); Computer science; Front (military); Neuroscience; Psychology; Artificial intelligence; Telecommunications; Physics; Meteorology","score_opus":0.02162702358826665,"score_gpt":0.2803060223216605,"score_spread":0.2586789987333939,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766396684","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59721476,0.000017602702,0.39215675,0.005264003,0.004206079,0.00033842924,0.0001375949,0.000027505363,0.00063725753],"genre_scores_gemma":[0.99654114,0.0000137284605,0.0023669591,0.00091129134,0.000074955584,0.0000057055695,0.0000078081475,0.000011412639,0.00006698451],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99848264,0.00009248934,0.00024098456,0.00051737967,0.00046277294,0.00020370791],"domain_scores_gemma":[0.99889785,0.0002782132,0.0003044086,0.0003786334,0.00009815364,0.000042758955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015430301,0.00012866696,0.00015268956,0.00008342939,0.000637682,0.00014373603,0.0009336474,0.00003790389,0.000003359595],"category_scores_gemma":[0.0014593186,0.00010292573,0.00005589647,0.00029582492,0.0007359077,0.00050414994,0.00018465774,0.00020321255,0.0000023966775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012537594,0.00021967945,0.117484756,0.0000113787455,0.0000034472362,0.000043448967,0.00041648737,0.8220045,0.019524448,0.028318372,0.0010306187,0.0108175175],"study_design_scores_gemma":[0.00022939604,0.00004593711,0.16921978,0.000010808018,0.0000028946577,0.0000045080114,0.0000678443,0.81215376,0.00040569674,0.017749874,0.00002509302,0.00008441728],"about_ca_topic_score_codex":0.00018002346,"about_ca_topic_score_gemma":0.0000317018,"teacher_disagreement_score":0.39932638,"about_ca_system_score_codex":0.000116674055,"about_ca_system_score_gemma":0.00008166395,"threshold_uncertainty_score":0.49045986},"labels":[],"label_agreement":null},{"id":"W2766601113","doi":"10.1038/s41467-017-01184-1","title":"Neuronal baseline shifts underlying boundary setting during free recall","year":2017,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Advanced Research","keywords":"Baseline (sea); Recall; Boundary (topology); Computer science; Neuroscience; Medicine; Biology; Psychology; Cognitive psychology; Mathematics","score_opus":0.06289098734378275,"score_gpt":0.333393552979866,"score_spread":0.27050256563608327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766601113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90343994,0.0005224927,0.00026004924,0.07113931,0.00144428,0.0003926397,0.00012395922,0.00033149272,0.022345835],"genre_scores_gemma":[0.99511206,0.00020997127,0.0021012928,0.0018976786,0.00009570255,0.000016475791,0.000023616942,0.000025359579,0.00051786355],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987567,0.00022516173,0.00021178335,0.00032771466,0.00023994857,0.00023866366],"domain_scores_gemma":[0.99519604,0.00064478454,0.00022328024,0.0037971216,0.00006145193,0.00007729255],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00031500743,0.00013589414,0.00011191307,0.00007461245,0.0038011353,0.00042545085,0.002812905,0.00015822198,0.000020740463],"category_scores_gemma":[0.0042269416,0.00013370765,0.000076934186,0.000109396104,0.00025140788,0.0004544366,0.0014035185,0.0013880057,0.000025401498],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056039105,0.00024169424,0.0051657963,0.000040005783,0.000014708198,0.000023111888,0.00018337513,0.00006594735,0.91567886,0.057546202,0.0043479013,0.016636373],"study_design_scores_gemma":[0.0022685875,0.00011776641,0.67739576,0.00024067264,0.0000720556,0.00013674532,0.00008255289,0.06878621,0.033203997,0.02285898,0.19367138,0.0011653213],"about_ca_topic_score_codex":0.000017352027,"about_ca_topic_score_gemma":0.00036191163,"teacher_disagreement_score":0.88247484,"about_ca_system_score_codex":0.00005154912,"about_ca_system_score_gemma":0.000049629783,"threshold_uncertainty_score":0.9974958},"labels":[],"label_agreement":null},{"id":"W2766752287","doi":"10.1109/tnnls.2017.2756859","title":"Symmetric Predictive Estimator for Biologically Plausible Neural Learning","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Neural Networks and Learning Systems","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Copying; Feed forward; Computer science; Artificial neural network; Estimator; Artificial intelligence; Machine learning; Perception; Feedforward neural network; Mathematics; Control engineering; Psychology; Neuroscience","score_opus":0.033812686662276596,"score_gpt":0.26538660428763755,"score_spread":0.23157391762536095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766752287","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.576007,0.00009225877,0.4183489,0.00032413582,0.003535657,0.00096345163,0.000022528544,0.00037633078,0.00032969666],"genre_scores_gemma":[0.997136,0.00009460147,0.00004843079,0.00011912006,0.0003052875,0.00015046178,0.0000037265004,0.00004508376,0.0020973056],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978291,0.0003602001,0.0003477238,0.00072199956,0.0002252333,0.0005157778],"domain_scores_gemma":[0.99797565,0.0011820699,0.0003646621,0.00023654992,0.000066539484,0.0001745248],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00037634594,0.0003072269,0.0003663986,0.00016748346,0.003921815,0.0006821528,0.00028098683,0.00019810311,0.000010714871],"category_scores_gemma":[0.0003018232,0.00024840748,0.00016065677,0.00019547346,0.00017778654,0.00036631795,0.0000074493246,0.0011154459,0.0000056708172],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002714015,0.000045848934,0.0005517336,0.000035874924,0.000015064305,0.000010098117,0.000023521266,0.9750174,0.0053729014,0.00027205463,0.000033208493,0.01835087],"study_design_scores_gemma":[0.0006678592,0.0015426276,0.0014395355,0.000059925005,0.000037581467,0.00008761305,0.0000536542,0.9946423,0.0002648166,0.000013842062,0.0009089177,0.00028129038],"about_ca_topic_score_codex":0.00007198203,"about_ca_topic_score_gemma":0.000006630847,"teacher_disagreement_score":0.42112896,"about_ca_system_score_codex":0.00003838428,"about_ca_system_score_gemma":0.000012091454,"threshold_uncertainty_score":0.99999684},"labels":[],"label_agreement":null},{"id":"W2767239213","doi":"10.1038/s41598-017-15659-0","title":"Exploring the alpha desynchronization hypothesis in resting state networks with intracranial electroencephalography and wiring cost estimates","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Toronto Western Hospital; Hospital for Sick Children","funders":"Fundação Bial","keywords":"Resting state fMRI; Electroencephalography; Eyes open; Computer science; Functional connectivity; Alpha (finance); Electrophysiology; Neuroscience; Artificial intelligence; Pattern recognition (psychology); Psychology; Mathematics; Statistics","score_opus":0.05293194078305931,"score_gpt":0.24468372845666814,"score_spread":0.19175178767360884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767239213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99493194,0.000016156211,0.0028562762,0.00016904475,0.0015355753,0.0003256118,4.4284775e-7,0.000044616147,0.00012032329],"genre_scores_gemma":[0.99944276,0.00004023003,0.00034208433,0.000027023463,0.00004330911,0.00004447203,0.0000014326677,0.000014691935,0.000044009146],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99845254,0.00004729014,0.00024660962,0.0006308531,0.00027083533,0.00035189115],"domain_scores_gemma":[0.9988619,0.00020039034,0.00031161818,0.0005280839,0.00004192365,0.000056076216],"candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0008591274,0.00012278618,0.00011155788,0.000121966164,0.0016425634,0.0013446956,0.00017223466,0.000017006549,0.0000021186304],"category_scores_gemma":[0.000947109,0.0000829057,0.000020993606,0.00033953588,0.0005044571,0.00087635865,0.000083150015,0.00015739088,6.1674325e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010886153,0.00007864617,0.41019854,0.000039085702,0.000010452451,0.0019772686,0.0006376013,0.06143934,0.3015961,0.0001962076,0.00006779659,0.2236501],"study_design_scores_gemma":[0.00036416412,0.0001255591,0.5102184,0.0002633829,0.000024688312,0.0012110877,0.000060715356,0.41722763,0.061211027,0.008637825,0.0002319936,0.0004235673],"about_ca_topic_score_codex":0.00006816241,"about_ca_topic_score_gemma":0.00033058075,"teacher_disagreement_score":0.3557883,"about_ca_system_score_codex":0.000029307908,"about_ca_system_score_gemma":0.000030551142,"threshold_uncertainty_score":0.999692},"labels":[],"label_agreement":null},{"id":"W2770166409","doi":"10.3389/fncir.2017.00098","title":"Critical Points and Traveling Wave in Locomotion: Experimental Evidence and Some Theoretical Considerations","year":2017,"lang":"en","type":"review","venue":"Frontiers in Neural Circuits","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Office of Naval Research; Medical Research Council; Howard Hughes Medical Institute; National Science Foundation; National Institutes of Health; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Traveling wave; Neuroscience; Psychology; Cognitive psychology; Physics; Mathematics; Mathematical analysis","score_opus":0.16946645499358814,"score_gpt":0.37352527585736445,"score_spread":0.2040588208637763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770166409","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0032356111,0.993008,0.00007871299,0.00058045733,0.001954762,0.00091057026,0.000031153602,0.00003140199,0.00016931034],"genre_scores_gemma":[0.33177283,0.66763383,0.000099489145,0.0002645297,0.000110147244,0.000067658024,0.0000036909364,0.000030612187,0.000017177388],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972465,0.0005455792,0.0005964388,0.00093318406,0.0002589547,0.0004193663],"domain_scores_gemma":[0.99823004,0.0011270226,0.00014516048,0.00031952577,0.000020343825,0.00015788765],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00035660557,0.0003843297,0.0009944292,0.00025617992,0.00028128075,0.00037343308,0.00017589389,0.00026356045,0.000034060577],"category_scores_gemma":[0.0033264947,0.0003464737,0.00011270173,0.00012540953,0.0009945494,0.00072952005,0.000152917,0.0007305339,0.0000031991735],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017092407,0.00020144273,0.00015078083,0.0030831809,0.000012453322,0.0012318395,0.00032778695,0.0000019819095,0.00038499478,0.17609702,0.00032364065,0.8181678],"study_design_scores_gemma":[0.0072586457,0.002729001,0.0031668458,0.102522455,0.0012494306,0.018143103,0.0007701253,0.13164149,0.0016565738,0.67777675,0.04316008,0.009925488],"about_ca_topic_score_codex":0.0000037348877,"about_ca_topic_score_gemma":0.0000025996626,"teacher_disagreement_score":0.8082423,"about_ca_system_score_codex":0.00011861273,"about_ca_system_score_gemma":0.00007581253,"threshold_uncertainty_score":0.99989873},"labels":[],"label_agreement":null},{"id":"W2770531235","doi":"10.7554/elife.29915","title":"Excitatory motor neurons are local oscillators for backward locomotion","year":2017,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":107,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"National Institute of Neurological Disorders and Stroke; National Institute of General Medical Sciences; Canadian Institutes of Health Research; National Institutes of Health; University of Toronto; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Excitatory postsynaptic potential; Neuroscience; Biology; Physics; Inhibitory postsynaptic potential","score_opus":0.04999941553674535,"score_gpt":0.285189503221589,"score_spread":0.23519008768484362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770531235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98463166,0.0000090388685,0.009329538,0.001858949,0.0026056902,0.00044701123,0.00007149123,0.00011293115,0.00093368336],"genre_scores_gemma":[0.99657285,0.00001819325,0.00008562645,0.0014954985,0.00030370543,0.000035433728,0.000002539956,0.000026173317,0.0014599734],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989024,0.000041325402,0.00015336,0.0003958488,0.0002491385,0.00025796637],"domain_scores_gemma":[0.99905235,0.00011767844,0.00018757877,0.00047440972,0.0000519654,0.000116022195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000132986,0.00013097974,0.0001335974,0.000038736074,0.00071062817,0.00013831296,0.0002569393,0.00006423486,0.000023650131],"category_scores_gemma":[0.0008230508,0.000119780496,0.00010689656,0.000039165516,0.0002125548,0.00026707968,0.00008696744,0.000115765,0.00012136864],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004836211,0.00041642747,0.014734868,0.00021380476,0.000020965306,0.00012671831,0.00019670588,0.0007429235,0.85806155,0.02009721,0.062165335,0.042739876],"study_design_scores_gemma":[0.0030849932,0.0011375005,0.35893285,0.000112976995,0.000048999682,0.0000688901,0.0001575464,0.12188937,0.17766742,0.0035922683,0.33212826,0.0011789245],"about_ca_topic_score_codex":0.000008941139,"about_ca_topic_score_gemma":0.0000152212,"teacher_disagreement_score":0.6803941,"about_ca_system_score_codex":0.000040462186,"about_ca_system_score_gemma":0.00002527036,"threshold_uncertainty_score":0.54656494},"labels":[],"label_agreement":null},{"id":"W2771098781","doi":"","title":"A Circuit Model of Sensory Receptor Function","year":2017,"lang":"en","type":"article","venue":"CMBES Proceedings","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Sensory system; Computer science; Biological neural network; Biological neuron model; Very-large-scale integration; Electronic circuit; Artificial neural network; Neuroscience; Artificial intelligence; Machine learning; Engineering; Psychology; Electrical engineering; Embedded system","score_opus":0.0821268185107546,"score_gpt":0.2643487190436788,"score_spread":0.1822219005329242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771098781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96934277,0.000003816051,0.00050317147,0.00027106333,0.0004296424,0.00013576374,0.000011339835,0.00006961671,0.029232798],"genre_scores_gemma":[0.99525386,0.000021427973,0.000072445706,0.00025281592,0.00010315871,0.000010278058,6.468102e-7,0.000016341839,0.0042689955],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99916047,0.000003267547,0.00015327134,0.00030914063,0.000203318,0.00017055856],"domain_scores_gemma":[0.9994327,0.000020060384,0.0002276464,0.00016533925,0.00010158426,0.000052689324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000107019274,0.000102111255,0.0001240654,0.000056514717,0.00036352134,0.000114074384,0.00024941543,0.00006398884,0.000025149991],"category_scores_gemma":[0.0005578042,0.0000929359,0.000060940292,0.000052121017,0.00014233534,0.0005092937,0.0000788298,0.000114954855,0.000042955602],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039984225,0.000025432904,0.00058185746,0.000037398346,0.0000018077376,2.4349484e-7,0.0000746076,0.0000169301,0.96762156,0.027200446,0.0006769365,0.00372282],"study_design_scores_gemma":[0.00049844297,0.0002474808,0.0024081971,0.00005926556,0.00002474162,0.000011590028,0.000069793525,0.10557007,0.868881,0.019356642,0.0025903187,0.00028246926],"about_ca_topic_score_codex":0.000005712948,"about_ca_topic_score_gemma":5.777844e-7,"teacher_disagreement_score":0.105553135,"about_ca_system_score_codex":0.000021159072,"about_ca_system_score_gemma":0.000015597947,"threshold_uncertainty_score":0.37898162},"labels":[],"label_agreement":null},{"id":"W2771558206","doi":"10.1007/s10827-017-0663-7","title":"New class of reduced computationally efficient neuronal models for large-scale simulations of brain dynamics","year":2017,"lang":"en","type":"article","venue":"Journal of Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Institut Universitaire en Santé Mentale de Québec","funders":"Office of Naval Research; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Neuroscience; Oscillation (cell signaling); Network dynamics; Memory consolidation; Electroencephalography; Physics; Nerve net; Computer science; Slow-wave sleep; Psychology; Biology; Mathematics; Hippocampus","score_opus":0.04037556942916797,"score_gpt":0.31164658281787383,"score_spread":0.27127101338870585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771558206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5156181,0.0000029079076,0.48080873,0.0023469145,0.0007900481,0.00017373016,0.00016860066,0.000006236918,0.00008470458],"genre_scores_gemma":[0.988592,0.000002419606,0.010562797,0.00062557246,0.00009524583,0.0000010774917,0.000006460612,0.000016450727,0.00009796724],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974235,0.00009305189,0.000873286,0.00032490125,0.0010448494,0.00024039885],"domain_scores_gemma":[0.9956472,0.0013903105,0.0018943221,0.00023285922,0.0006821923,0.00015315239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000442149,0.00015843738,0.0003294243,0.0002696706,0.00046739995,0.000114609,0.0008068409,0.000048681868,0.0000074135846],"category_scores_gemma":[0.0016598352,0.00014727427,0.00022929389,0.00026732843,0.0003008565,0.00055601314,0.00012561075,0.00018501484,4.5313664e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011017823,0.00017700004,0.000085005995,0.000018060868,0.000002332863,0.0000024306737,0.000060807488,0.8281673,0.10539084,0.0651688,0.00016458902,0.000652621],"study_design_scores_gemma":[0.0010518592,0.0004140212,0.012746483,0.00003727047,0.000014096433,0.00005532678,0.000009079408,0.93114376,0.0050923903,0.049249064,0.00007698987,0.000109671746],"about_ca_topic_score_codex":0.0000029046723,"about_ca_topic_score_gemma":0.0000038124629,"teacher_disagreement_score":0.47297388,"about_ca_system_score_codex":0.00004865204,"about_ca_system_score_gemma":0.00051290833,"threshold_uncertainty_score":0.60056704},"labels":[],"label_agreement":null},{"id":"W2772424113","doi":"10.3791/56196","title":"Reversible Cooling-induced Deactivations to Study Cortical Contributions to Obstacle Memory in the Walking Cat","year":2017,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Neuroscience; Obstacle; Posterior parietal cortex; Sensory system; Obstacle avoidance; Adaptation (eye); Visual cortex; Computer science; Psychology; Artificial intelligence; Mobile robot","score_opus":0.08631124886885334,"score_gpt":0.4652367584781177,"score_spread":0.37892550960926435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2772424113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99648905,0.000004918742,0.000536807,0.0014593945,0.0007402854,0.0005667395,0.0000054618854,0.0000078388275,0.00018950852],"genre_scores_gemma":[0.99824965,0.0000022737725,0.00014981639,0.0013934778,0.000109032706,0.000023387029,3.6483468e-7,0.000010312951,0.000061682316],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99831533,0.00032413835,0.00043252576,0.00019410643,0.0004918193,0.00024208303],"domain_scores_gemma":[0.9987515,0.0003081504,0.00030849813,0.00034123924,0.0001432672,0.00014732454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073091825,0.00011379967,0.00022045113,0.00016713166,0.00078356,0.00024863734,0.0005567852,0.000035374007,0.000026032116],"category_scores_gemma":[0.0036381688,0.00008231853,0.00007429154,0.00021940286,0.000023882658,0.00034211724,0.00012118392,0.00022310019,0.000019418874],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028059518,0.0007836294,0.00073935464,9.701124e-7,0.000010999427,0.00008068838,0.003453099,0.000030681826,0.9934864,0.00034919032,0.0002496768,0.00053469825],"study_design_scores_gemma":[0.0037474162,0.0016266746,0.06655468,0.00006986698,0.00003688124,0.00009176447,0.004966046,0.00048294585,0.92143583,0.00022088563,0.0005410145,0.00022598926],"about_ca_topic_score_codex":0.00006848232,"about_ca_topic_score_gemma":0.000013762739,"teacher_disagreement_score":0.07205059,"about_ca_system_score_codex":0.00018195898,"about_ca_system_score_gemma":0.0000623571,"threshold_uncertainty_score":0.60265887},"labels":[],"label_agreement":null},{"id":"W2773393927","doi":"10.1162/neco_a_01046","title":"Improving Spiking Dynamical Networks: Accurate Delays, Higher-Order Synapses, and Time Cells","year":2017,"lang":"en","type":"article","venue":"Neural Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; ENCODE; Dynamical systems theory; Spiking neural network; Synapse; Representation (politics); Artificial neural network; Artificial intelligence; Neuroscience; Physics","score_opus":0.021882867882060408,"score_gpt":0.26176477006059656,"score_spread":0.23988190217853617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2773393927","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.978606,0.000019293864,0.018404411,0.00076901657,0.0013625695,0.00025552942,0.000007043275,0.00014252792,0.0004336363],"genre_scores_gemma":[0.9984184,0.00001189382,0.0004422932,0.00060305704,0.00019312032,0.0000054656875,0.000013342574,0.00002529046,0.00028717433],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99869776,0.000096129326,0.00022355448,0.0004974496,0.00019162937,0.00029348032],"domain_scores_gemma":[0.99913144,0.00022146589,0.00028426037,0.00022324787,0.000051620467,0.00008797932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011430426,0.00018329856,0.00016487903,0.000054863787,0.00078924495,0.0006016817,0.00021608517,0.00008602909,0.000016138438],"category_scores_gemma":[0.00015333584,0.00016796622,0.000042212505,0.0000928079,0.00012611368,0.00064503157,0.00019179328,0.00023764977,0.00002723836],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011903572,0.00005715267,0.00043762755,0.000042137137,0.000007443815,0.00008909592,0.000034384495,0.08052136,0.7810716,0.0019102575,0.0003029913,0.13540693],"study_design_scores_gemma":[0.00033620605,0.00011478506,0.0062374445,0.0000136113995,0.00001250432,0.000027443426,0.000001641382,0.9900099,0.0023445569,0.0006264597,0.0000856711,0.00018976403],"about_ca_topic_score_codex":0.000053670763,"about_ca_topic_score_gemma":0.000006590189,"teacher_disagreement_score":0.90948856,"about_ca_system_score_codex":0.000035484183,"about_ca_system_score_gemma":0.000011862219,"threshold_uncertainty_score":0.68494636},"labels":[],"label_agreement":null},{"id":"W2774337616","doi":"10.1016/j.neunet.2017.11.019","title":"A loop-based neural architecture for structured behavior encoding and decoding","year":2017,"lang":"en","type":"article","venue":"Neural Networks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Centre for Research on Brain Language and Music","funders":"","keywords":"Computer science; Artificial neural network; Novelty; Loop (graph theory); Encoding (memory); Recurrent neural network; Artificial intelligence; Spiking neural network; Neural decoding; Decoding methods; Computation; Topology (electrical circuits); Algorithm; Mathematics","score_opus":0.03389370978185233,"score_gpt":0.2820973962794104,"score_spread":0.24820368649755806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2774337616","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898675,0.000035893678,0.0062040375,0.0011926119,0.0017673025,0.00069284247,0.00002640667,0.00011048657,0.000102897946],"genre_scores_gemma":[0.99743724,0.0000082878605,0.00038721482,0.0014981498,0.00044378292,0.00007270355,0.000009317708,0.000038585935,0.000104717685],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99845904,0.0000588757,0.00021547962,0.00060288917,0.00017313586,0.00049055886],"domain_scores_gemma":[0.9988084,0.00034699924,0.00022441607,0.0004434964,0.000029608003,0.00014711247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010231816,0.0002535853,0.00022791902,0.000069000766,0.001276811,0.00052279176,0.0003932083,0.00012932633,0.000013268706],"category_scores_gemma":[0.00035034842,0.00021324505,0.00012283138,0.00006765731,0.00014848185,0.00024579247,0.00012481054,0.0003729461,5.739457e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006239065,0.000071954746,0.018833606,0.000077557444,0.00000874972,0.00014900551,0.00006487915,0.06478655,0.43262684,0.001923072,0.00047391673,0.48035997],"study_design_scores_gemma":[0.00091086247,0.0001897476,0.011567623,0.000018404668,0.000034009146,0.00006747683,0.0000036298768,0.97970515,0.0065950877,0.00035796172,0.0002745009,0.0002755604],"about_ca_topic_score_codex":0.000011791987,"about_ca_topic_score_gemma":0.000061297804,"teacher_disagreement_score":0.9149186,"about_ca_system_score_codex":0.000020276351,"about_ca_system_score_gemma":0.0000100489615,"threshold_uncertainty_score":0.9820327},"labels":[],"label_agreement":null},{"id":"W2774446342","doi":"10.1038/nrn.2017.149","title":"Communication dynamics in complex brain networks","year":2017,"lang":"en","type":"review","venue":"Nature reviews. Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":944,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Center for Complementary and Integrative Health","keywords":"Computer science; Network dynamics; Complex network; Process (computing); Dynamic network analysis; Brain function; Dynamics (music); Cognitive science; Topology (electrical circuits); Neuroscience; Computer network; Biology; Psychology; Mathematics","score_opus":0.17843033328260532,"score_gpt":0.4197436450512606,"score_spread":0.24131331176865528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2774446342","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00000123891,0.99174523,0.00019909897,0.0005749862,0.0016627664,0.002422202,0.00006772261,0.00009782052,0.0032289391],"genre_scores_gemma":[0.00019940858,0.9941687,0.00007691326,0.0038579649,0.00013589849,0.00018526838,0.0001308862,0.00008281599,0.0011621191],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99350804,0.0019317687,0.001387223,0.0017578274,0.0006104024,0.00080473453],"domain_scores_gemma":[0.9940244,0.001020587,0.0018705658,0.002840383,0.000046969864,0.0001970783],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0017980504,0.00083536044,0.0025398664,0.0004559565,0.00077573914,0.0005768128,0.004310449,0.0009165622,0.000018037843],"category_scores_gemma":[0.0070023458,0.00064958277,0.00071039004,0.0017152135,0.0006234921,0.00058376143,0.0008574362,0.004226803,0.000079146885],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000022311665,0.00006540649,0.0000030062552,0.0021088547,6.7648074e-7,0.00003580823,0.0000028578302,0.000009775104,0.000025095604,0.005957825,0.0024887677,0.9892997],"study_design_scores_gemma":[0.00010268952,0.000043409553,0.000027567812,0.0071173175,0.000048037124,0.00018108691,5.567933e-7,0.015121671,6.3072935e-7,0.00014069889,0.97665316,0.00056314655],"about_ca_topic_score_codex":0.0000109458,"about_ca_topic_score_gemma":0.00015655594,"teacher_disagreement_score":0.98873657,"about_ca_system_score_codex":0.0005013453,"about_ca_system_score_gemma":0.00019110736,"threshold_uncertainty_score":0.9995955},"labels":[],"label_agreement":null},{"id":"W2774534832","doi":"10.1007/978-1-4939-7549-5_13","title":"In Vivo Recordings of Network Activity Using Local Field Potentials and Single Units in Movement and Network Pathophysiology","year":2017,"lang":"en","type":"book-chapter","venue":"Neuromethods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital; Concordia University","funders":"","keywords":"Pathophysiology; Neuroscience; Field (mathematics); Movement (music); In vivo; Medicine; Psychology; Biology; Physics; Internal medicine; Mathematics; Acoustics","score_opus":0.07042867332088065,"score_gpt":0.3023348232456689,"score_spread":0.23190614992478825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2774534832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9624285,0.00025188646,0.010189773,0.0004493507,0.0040624067,0.0010626595,0.000049022045,0.00003841672,0.021468002],"genre_scores_gemma":[0.9533707,0.0033984862,0.007838018,0.0070844283,0.0012033408,0.000021362468,0.0000041970743,0.00022552373,0.026853928],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99817175,0.00033026026,0.00035626348,0.00066470646,0.00014729341,0.00032973688],"domain_scores_gemma":[0.9980894,0.001053626,0.00044927705,0.00031679202,0.000028168262,0.000062740706],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005176661,0.00027998385,0.0006330383,0.00017027721,0.000113318136,0.000041336727,0.00015623141,0.0003111128,0.00003134467],"category_scores_gemma":[0.00037514677,0.000284419,0.0000498677,0.000098776996,0.0002034489,0.00014928252,0.00034480187,0.0005253677,2.5190937e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029659082,0.000039379578,0.0002194862,0.000116975294,0.000007012991,0.00017854823,0.000029132598,0.0021839223,0.862007,0.003817927,0.00019082864,0.13091317],"study_design_scores_gemma":[0.0033933357,0.006691523,0.008723171,0.0028935603,0.00020811352,0.00019825308,0.000014018201,0.09413072,0.1414199,0.7171938,0.022248397,0.0028852061],"about_ca_topic_score_codex":0.00014955927,"about_ca_topic_score_gemma":0.00008890329,"teacher_disagreement_score":0.72058713,"about_ca_system_score_codex":0.000035891328,"about_ca_system_score_gemma":0.00002890258,"threshold_uncertainty_score":0.9999608},"labels":[],"label_agreement":null},{"id":"W2775004921","doi":"10.3389/fncir.2017.00091","title":"Neuromodulation of Prefrontal Cortex in Non-Human Primates by Dopaminergic Receptors during Rule-Guided Flexible Behavior and Cognitive Control","year":2017,"lang":"en","type":"review","venue":"Frontiers in Neural Circuits","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Psychology; Neuromodulation; Dopaminergic; Prefrontal cortex; Context (archaeology); Dopamine; Cognition; Dopaminergic pathways; Stimulation; Biology","score_opus":0.048489229680182155,"score_gpt":0.32801611223090515,"score_spread":0.279526882550723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2775004921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.598826,0.39339268,0.000048695452,0.000011180301,0.0028151053,0.0039199647,0.0005082209,0.00007764778,0.00040050462],"genre_scores_gemma":[0.6789155,0.31984407,0.0000059745166,0.000023242303,0.00006404207,0.000269121,0.00017327366,0.0000890562,0.00061574084],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9965605,0.0003525105,0.0010860335,0.001098578,0.00037196433,0.0005304107],"domain_scores_gemma":[0.9982345,0.000162241,0.0010632441,0.00037255444,0.000047010366,0.00012044716],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002085627,0.00059779006,0.0017666469,0.00062171667,0.00021283439,0.00011885639,0.00045236148,0.00032993942,0.00000919198],"category_scores_gemma":[0.00032036984,0.0005723478,0.00026916168,0.00032835116,0.00028982305,0.0005014379,0.00012184676,0.0006694861,0.000002429832],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006760786,0.0003953433,0.02038732,0.0071279234,0.000043821092,0.00020095636,0.00010746549,0.000015379372,0.042177387,0.000014696627,0.00022475063,0.92923737],"study_design_scores_gemma":[0.03372885,0.0031206838,0.85757864,0.046952665,0.005219341,0.0014237148,0.00019255081,0.014829101,0.0077849184,0.00057966565,0.018741703,0.009848158],"about_ca_topic_score_codex":0.000049704744,"about_ca_topic_score_gemma":0.0000109447465,"teacher_disagreement_score":0.9193892,"about_ca_system_score_codex":0.0001757744,"about_ca_system_score_gemma":0.000051872103,"threshold_uncertainty_score":0.9996728},"labels":[],"label_agreement":null},{"id":"W2777701891","doi":"10.1016/j.cub.2017.11.056","title":"Feature-Specific Organization of Feedback Pathways in Mouse Visual Cortex","year":2017,"lang":"en","type":"article","venue":"Current Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":65,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Eye Institute; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Visual cortex; Neuroscience; Extrastriate cortex; Cortex (anatomy); Receptive field; Functional specialization; Retinotopy; Visual system; Context (archaeology); Psychology; Biology","score_opus":0.052684287613913416,"score_gpt":0.3002517609733704,"score_spread":0.247567473359457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2777701891","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99762386,0.000045624245,0.00021117143,0.0002185999,0.0015527325,0.00011985589,0.000029893461,0.000021728909,0.0001765393],"genre_scores_gemma":[0.9993747,0.00035159072,0.0000089724,0.000036995585,0.000076165,0.0000024102344,0.000032412107,0.000008817025,0.00010793426],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993266,0.00005897275,0.00012826019,0.00027852494,0.0000551188,0.00015252388],"domain_scores_gemma":[0.9994667,0.000047482346,0.00018049555,0.0002359791,0.000040674455,0.000028624398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006484517,0.00008640799,0.00013449017,0.00006959563,0.00011673157,0.00002742747,0.00023538675,0.00007449205,0.000028485198],"category_scores_gemma":[0.000340287,0.00007283754,0.00002443358,0.00010405395,0.00014728004,0.000087392116,0.00010042552,0.00013416905,0.000036113826],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013095186,0.00008365698,0.024904897,0.000008173886,5.179724e-7,0.0000012414987,0.000023851948,0.000002122006,0.95166916,0.0076378714,0.00025206472,0.015403321],"study_design_scores_gemma":[0.0011989226,0.0003109084,0.3342917,0.00003495945,0.000004191877,0.000011552516,0.000017921398,0.0019830754,0.64270943,0.0013919884,0.017733429,0.00031191538],"about_ca_topic_score_codex":0.000003906167,"about_ca_topic_score_gemma":0.00000677976,"teacher_disagreement_score":0.30938682,"about_ca_system_score_codex":0.000021744403,"about_ca_system_score_gemma":0.000015968,"threshold_uncertainty_score":0.29702288},"labels":[],"label_agreement":null},{"id":"W2777736219","doi":"10.1523/jneurosci.1837-17.2017","title":"New Breakthroughs in Understanding the Role of Functional Interactions between the Neocortex and the Claustrum","year":2017,"lang":"en","type":"review","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"National Eye Institute; National Institute on Alcohol Abuse and Alcoholism; National Institute of Neurological Disorders and Stroke; Centre National de la Recherche Scientifique; Israel Science Foundation; National Institute for Psychobiology in Israel, Hebrew University of Jerusalem; National Alliance for Research on Schizophrenia and Depression; Johns Hopkins University","keywords":"Claustrum; Neocortex; Neuroscience; Prefrontal cortex; Sensory system; Psychology; Cortex (anatomy); Cognition; Biology; Cognitive science; Nucleus","score_opus":0.22858511757080327,"score_gpt":0.3727454406818492,"score_spread":0.14416032311104596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2777736219","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020814121,0.948781,0.010267324,0.017243546,0.014580417,0.0029899518,0.00009570462,0.000030810246,0.003929814],"genre_scores_gemma":[0.11291182,0.8857283,0.0000068404634,0.00034763198,0.0005451625,0.000006177992,3.627608e-7,0.00002106616,0.00043266625],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99753386,0.0005258975,0.00079968,0.00029583977,0.00060833804,0.00023638443],"domain_scores_gemma":[0.99485606,0.0026645316,0.001939634,0.0004282088,0.00003854015,0.00007301456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010988775,0.00022444631,0.0006802786,0.00018403918,0.000727455,0.0003273603,0.0012562375,0.000067321445,0.000007877088],"category_scores_gemma":[0.0013907263,0.00009130677,0.0003502787,0.0005230338,0.0010262183,0.00048979913,0.00025684212,0.0012516145,0.0000016358168],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011362235,0.00005516186,0.00028949807,0.00028161026,0.000023936878,0.00003694949,0.0002978466,0.00011710405,0.0018352651,0.025786415,0.00076960394,0.970393],"study_design_scores_gemma":[0.000600222,0.00019003877,0.0030381891,0.0018042335,0.00032136517,0.002471475,0.00016565836,0.00090074237,0.000022241251,0.022594662,0.96767557,0.00021559515],"about_ca_topic_score_codex":0.000029648598,"about_ca_topic_score_gemma":0.000015392163,"teacher_disagreement_score":0.9701774,"about_ca_system_score_codex":0.00009552729,"about_ca_system_score_gemma":0.00036059867,"threshold_uncertainty_score":0.55950695},"labels":[],"label_agreement":null},{"id":"W2778526833","doi":"10.1152/jn.00604.2017","title":"Modeling sources of interlaboratory variability in electrophysiological properties of mammalian neurons","year":2018,"lang":"en","type":"review","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of General Medical Sciences; National Institute of Mental Health; National Institutes of Health; Canadian Institutes of Health Research; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Children Neurodevelopmental Disorders Network","keywords":"Electrophysiology; Neuroscience; Biology","score_opus":0.074986661119559,"score_gpt":0.2939185472416124,"score_spread":0.21893188612205344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2778526833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92044777,0.07816933,0.00004433615,0.000022349775,0.0009330503,0.0003321329,0.000021491356,0.000010576208,0.00001894961],"genre_scores_gemma":[0.5023864,0.49727324,0.000023904631,0.00006959302,0.0002014595,0.0000044947774,8.3364256e-7,0.000030495963,0.000009590527],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.994579,0.0024220117,0.0019007181,0.0005023178,0.0002614185,0.0003345119],"domain_scores_gemma":[0.99742526,0.0004349207,0.0014061742,0.00039345108,0.00026438473,0.0000758018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028816398,0.00037763498,0.0022400138,0.00043236098,0.000042894222,0.000012227385,0.00080365065,0.0002650203,0.000013156306],"category_scores_gemma":[0.0019724525,0.00024180672,0.00060374936,0.0005945071,0.00047918284,0.00013680749,0.00021889553,0.0010289162,0.0000041078756],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005703865,0.0005126033,0.0000018694783,0.005534899,0.0000324869,0.00010878488,0.00004728331,0.0021285997,0.96212846,0.00017222957,0.000010787077,0.02875164],"study_design_scores_gemma":[0.009610133,0.16998327,0.0016572066,0.09276695,0.006076189,0.010102885,0.00030240402,0.3087354,0.15241061,0.018704388,0.21872401,0.010926545],"about_ca_topic_score_codex":0.0000082005445,"about_ca_topic_score_gemma":8.4570183e-7,"teacher_disagreement_score":0.80971783,"about_ca_system_score_codex":0.000054429252,"about_ca_system_score_gemma":0.0002963983,"threshold_uncertainty_score":0.9860591},"labels":[],"label_agreement":null},{"id":"W2778634474","doi":"10.1140/epjst/e2017-70094-x","title":"Challenges in the analysis of complex systems: introduction and overview","year":2017,"lang":"en","type":"article","venue":"The European Physical Journal Special Topics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Data science; Computer science; Engineering ethics; Engineering","score_opus":0.15951668060269414,"score_gpt":0.32245400408496055,"score_spread":0.16293732348226642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2778634474","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7752744,0.00030701773,0.000013226606,0.026034072,0.0014668573,0.0002264382,0.000008500129,0.0000106119305,0.19665888],"genre_scores_gemma":[0.966386,0.0016204317,0.0000020485502,0.0000937706,0.031797756,3.9767625e-7,4.046869e-7,0.0000055744554,0.00009360687],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9986679,0.0007118302,0.00016753015,0.00013591387,0.00021803434,0.00009877229],"domain_scores_gemma":[0.999289,0.000104355575,0.00023405858,0.00032663165,0.000022909604,0.000023066037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062912895,0.000070042355,0.0001701415,0.00004513157,0.00036119137,0.00019850377,0.00044716816,0.0000083683235,0.000004061092],"category_scores_gemma":[0.0001975003,0.000035916273,0.00008481797,0.00011981471,0.00014415072,0.000117616095,0.00009096835,0.00022614237,0.0000037364696],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032983615,0.00014385513,0.00012088248,0.000021809941,0.00005386785,0.000039848877,0.0015362558,0.00045138792,0.009155746,0.088277005,0.0007744033,0.89939195],"study_design_scores_gemma":[0.0004533908,0.00020745542,0.80978656,0.000040241048,0.00035042895,0.00014032784,0.00054801186,0.00660844,0.00021589974,0.012137152,0.16931172,0.0002003602],"about_ca_topic_score_codex":0.000006119967,"about_ca_topic_score_gemma":0.000016605814,"teacher_disagreement_score":0.8991916,"about_ca_system_score_codex":0.000011689136,"about_ca_system_score_gemma":0.0000032435862,"threshold_uncertainty_score":0.27780285},"labels":[],"label_agreement":null},{"id":"W2779501336","doi":"10.1016/j.neulet.2017.12.044","title":"Cortical frequency-specific plasticity is independently induced by intracortical circuitry","year":2017,"lang":"en","type":"article","venue":"Neuroscience Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Central China Normal University","keywords":"Auditory cortex; Thalamus; Neuroscience; Neuroplasticity; Plasticity; Cortex (anatomy); Stimulation; Cortical neurons; Cerebral cortex; Biology; Materials science","score_opus":0.04953831660381863,"score_gpt":0.2728089988060672,"score_spread":0.22327068220224855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2779501336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9802395,0.0000019155043,0.0027317011,0.013088903,0.002758842,0.00024190985,0.00004505722,0.0001243426,0.00076783844],"genre_scores_gemma":[0.96026874,0.00001658392,0.00002756328,0.03939412,0.00016480341,0.000015344494,0.000001093969,0.000028249997,0.00008347688],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99635816,0.00013330673,0.00038526233,0.0012861138,0.0010211981,0.0008159813],"domain_scores_gemma":[0.9983319,0.0002476488,0.0002482288,0.0007966071,0.000037184407,0.0003384067],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00017789153,0.0002967032,0.0002451268,0.000100493235,0.0016727719,0.0009718178,0.0015019451,0.00013117574,0.00009718102],"category_scores_gemma":[0.0021023846,0.00027388392,0.00009680885,0.00027983487,0.0010758054,0.0010106727,0.00027815555,0.0009201868,0.00015576257],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015734993,0.00008852452,0.0033942452,0.0000039592364,5.840487e-7,0.00011943115,0.000030462006,0.0000039311913,0.990463,0.0017622388,0.0029861617,0.0011316981],"study_design_scores_gemma":[0.00077047676,0.00032021423,0.2039121,0.000022282542,0.000014709663,0.00016686971,0.000010021539,0.004919567,0.78535444,0.0008468579,0.0029313269,0.0007311714],"about_ca_topic_score_codex":0.000028238264,"about_ca_topic_score_gemma":0.0000025992958,"teacher_disagreement_score":0.20510863,"about_ca_system_score_codex":0.000078157886,"about_ca_system_score_gemma":0.00004948305,"threshold_uncertainty_score":0.99997133},"labels":[],"label_agreement":null},{"id":"W2781296888","doi":"10.1152/jn.00832.2017","title":"Phase-amplitude coupling within the anterior thalamic nuclei during seizures","year":2017,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Toronto Western Hospital; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Neuroscience; Thalamus; Coupling (piping); Psychology; Epilepsy; Communication; Materials science","score_opus":0.0347530928076929,"score_gpt":0.2992532297526452,"score_spread":0.2645001369449523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2781296888","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99663204,0.000010001568,0.00003039318,0.0010525464,0.0020982246,0.00008007536,0.0000037768805,0.000014084844,0.00007886989],"genre_scores_gemma":[0.9985861,0.00010121177,0.00001967466,0.000693493,0.00046884475,0.000001118011,1.12410284e-7,0.000020742858,0.00010869919],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988965,0.00008829159,0.00039180226,0.00022338229,0.00018635907,0.00021369087],"domain_scores_gemma":[0.99832165,0.0001804231,0.0009559021,0.00042600778,0.000059160164,0.00005685548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000089604495,0.00013657303,0.00025550296,0.00006580109,0.0008096161,0.00017106223,0.0007900139,0.000043636035,0.000013470044],"category_scores_gemma":[0.0007055558,0.000081931124,0.00014594146,0.000047647343,0.00026255174,0.00027733395,0.00016784322,0.00045514657,0.000015103831],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026327532,0.00009221018,0.000035863788,0.000009166945,0.000006840324,0.00036938366,0.000043268472,0.0015603564,0.99708164,0.0002548685,0.000011603896,0.00027153577],"study_design_scores_gemma":[0.009445662,0.0067700935,0.33041307,0.000282245,0.00013706967,0.010779955,0.00012511041,0.09521863,0.53747433,0.0071909144,0.001357757,0.0008051278],"about_ca_topic_score_codex":0.000004175017,"about_ca_topic_score_gemma":7.2882284e-7,"teacher_disagreement_score":0.45960727,"about_ca_system_score_codex":0.000017133281,"about_ca_system_score_gemma":0.000027863873,"threshold_uncertainty_score":0.62269944},"labels":[],"label_agreement":null},{"id":"W2781502227","doi":"10.1152/jn.00866.2017","title":"Methods for chair restraint and training of the common marmoset on oculomotor tasks","year":2018,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"Canadian Institutes of Health Research; Government of Canada","keywords":"Marmoset; Neuroscience; Callithrix; Saccade; Macaque; Eye movement; Fixation (population genetics); Saccadic masking; Psychology; Frontal eye fields; Primate; Neurophysiology; Biology","score_opus":0.07747560364742598,"score_gpt":0.36011460498005554,"score_spread":0.28263900133262954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2781502227","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99664986,0.0000031203094,0.0004995309,0.0012934592,0.0012749592,0.0001367919,0.000011311183,0.000004387819,0.000126565],"genre_scores_gemma":[0.9964145,0.00001840262,0.0011596574,0.002053589,0.00029359048,0.0000017471492,1.7500533e-7,0.000011975925,0.000046376408],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988824,0.00041796637,0.00030448247,0.00015607724,0.0000912649,0.00014780802],"domain_scores_gemma":[0.9984869,0.0008406218,0.0004045668,0.00015418664,0.00006955033,0.00004421861],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016325663,0.000092162474,0.00024081326,0.000064108186,0.00011694279,0.000009350354,0.00022300423,0.00004518963,0.000005815485],"category_scores_gemma":[0.0008408426,0.00005470818,0.000115124305,0.00010859476,0.0003119703,0.000047102305,0.00005710045,0.00021717274,5.833408e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031436628,0.000030246814,0.000004365824,0.000009677067,0.000004063878,0.0000039986876,0.00010052174,0.000040367264,0.97141105,0.0014784886,0.000058765392,0.026544087],"study_design_scores_gemma":[0.002858442,0.029399535,0.122857966,0.00016036342,0.000092264236,0.0011823162,0.00013240967,0.030252542,0.736161,0.051062603,0.02544061,0.0003999413],"about_ca_topic_score_codex":0.0000012001452,"about_ca_topic_score_gemma":4.0269504e-7,"teacher_disagreement_score":0.23525004,"about_ca_system_score_codex":0.0000090022795,"about_ca_system_score_gemma":0.000025011694,"threshold_uncertainty_score":0.22309348},"labels":[],"label_agreement":null},{"id":"W2782208459","doi":"10.1073/pnas.1717016115","title":"Transient visual pathway critical for normal development of primate grasping behavior","year":2018,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"State Government of Victoria; National Health and Medical Research Council; National Institutes of Health; National Institute of Mental Health; Medical Research Council; Australian Government","keywords":"Neuroscience; Thalamus; GRASP; Visual system; Visual cortex; Primate; Dorsum; Biology; Psychology; Computer science; Anatomy","score_opus":0.07693573622287621,"score_gpt":0.36022157978763364,"score_spread":0.28328584356475744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2782208459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99790335,0.0000039461656,0.0000722294,0.00073411467,0.000067822635,0.00023645256,0.00001137114,0.00000824048,0.0009624717],"genre_scores_gemma":[0.9966483,0.0000012763976,0.0030398136,0.00020420416,0.00005130603,0.000023011049,5.8114292e-8,0.000003419338,0.000028618073],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99820334,0.0000044069716,0.00035463754,0.00023021479,0.0010440658,0.00016333125],"domain_scores_gemma":[0.99918145,0.00015924407,0.000230512,0.0000047652698,0.00039490103,0.000029114224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093860837,0.00007281321,0.00011087424,0.00011233661,0.00031823604,0.000017549726,0.00041108674,0.00004489842,0.000006704754],"category_scores_gemma":[0.0010545002,0.00004939628,0.00006163506,0.0004088547,0.0010641585,0.0003343088,0.00007378245,0.00006911134,5.432643e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021697268,0.000074919306,0.00031148698,0.000056984692,0.000001112785,2.0749393e-9,0.00016714027,0.000003907588,0.95436645,0.04365444,0.000022044276,0.0013198261],"study_design_scores_gemma":[0.00011471598,0.00015617808,0.020186063,0.000051136845,0.000005958156,0.000004262567,0.000042783817,0.0032462308,0.97185373,0.004149692,0.00012955698,0.000059687274],"about_ca_topic_score_codex":5.2703297e-7,"about_ca_topic_score_gemma":6.022344e-8,"teacher_disagreement_score":0.039504748,"about_ca_system_score_codex":0.000026954074,"about_ca_system_score_gemma":0.000060728413,"threshold_uncertainty_score":0.39209366},"labels":[],"label_agreement":null},{"id":"W2782825226","doi":"10.3389/fnins.2018.00083","title":"Does 10-Hz Cathodal Oscillating Current of the Parieto-Occipital Lobe Modulate Target Detection?","year":2018,"lang":"en","type":"article","venue":"Frontiers in Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transcranial direct-current stimulation; Audiology; Psychology; Transcranial alternating current stimulation; Electrophysiology; Electroencephalography; Neuroscience; Perception; Occipital lobe; Alpha (finance); Stimulation; Medicine; Transcranial magnetic stimulation; Developmental psychology; Psychometrics","score_opus":0.015543005945563567,"score_gpt":0.24734169553296423,"score_spread":0.23179868958740066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2782825226","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9679877,0.00002307824,0.009543946,0.00024447596,0.021325095,0.00035810343,0.00002660937,0.000055131306,0.0004358164],"genre_scores_gemma":[0.99858767,0.00003210833,0.0004093024,0.00031386904,0.00015651713,0.000011476811,2.8116926e-7,0.00001607515,0.0004726927],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99765414,0.00021975396,0.00036606233,0.00075627473,0.0005448518,0.00045893167],"domain_scores_gemma":[0.99907756,0.00007133036,0.00024718296,0.00046259197,0.000060531474,0.00008078595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003372313,0.00019247238,0.00019698225,0.0001526689,0.0004708749,0.00008185567,0.00072139653,0.00005454568,0.000013026524],"category_scores_gemma":[0.0014319521,0.00011155068,0.000095269366,0.0012949918,0.0009980538,0.00037509273,0.00029889192,0.00028608032,0.000004842533],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006524081,0.00010854086,0.039661527,0.000016967217,5.4849437e-7,0.000004130539,0.00025995998,0.00089764164,0.9416267,0.00020136524,0.00048369126,0.016673647],"study_design_scores_gemma":[0.00047390818,0.00036505953,0.07598836,0.000044488224,0.000005225,0.00001635526,0.000050339004,0.30146658,0.60053927,0.004812137,0.015867678,0.0003705852],"about_ca_topic_score_codex":0.00001915444,"about_ca_topic_score_gemma":0.0000141843875,"teacher_disagreement_score":0.34108746,"about_ca_system_score_codex":0.00006392497,"about_ca_system_score_gemma":0.00006309656,"threshold_uncertainty_score":0.4548905},"labels":[],"label_agreement":null},{"id":"W2782840355","doi":"10.3389/fnint.2017.00041","title":"Spatial Frequency Selectivity Is Impaired in Dopamine D2 Receptor Knockout Mice","year":2018,"lang":"en","type":"article","venue":"Frontiers in Integrative Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Knockout mouse; Dopamine receptor D2; Neuroscience; Dopamine; Receptor; Biology; Chemistry; Internal medicine; Medicine","score_opus":0.01855184483212702,"score_gpt":0.2592786763133405,"score_spread":0.2407268314812135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2782840355","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9647533,0.000021559454,0.0244489,0.0011050819,0.006433412,0.0005942975,0.000066158806,0.00009618457,0.0024810913],"genre_scores_gemma":[0.9954051,0.000055201413,0.0011845119,0.0021195225,0.00015538286,0.000052498555,0.000001845839,0.000026455597,0.0009994765],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9964621,0.0004620538,0.00046230684,0.0013765999,0.00051098655,0.00072591746],"domain_scores_gemma":[0.99900305,0.00018284228,0.00019979333,0.00036434067,0.0001116991,0.00013830014],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040494726,0.00036526457,0.00038516097,0.0005623011,0.00027108373,0.00011840791,0.0007505908,0.00012110579,0.000066994384],"category_scores_gemma":[0.0026865609,0.00030756468,0.00008918571,0.0025998666,0.0013249054,0.00080851367,0.0001417524,0.0006534437,0.00004072179],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000113630034,0.00021390956,0.044349726,0.000006006668,7.2599545e-7,0.000029754496,0.0011583774,0.000006745511,0.9403676,0.0004056521,0.003961841,0.009386051],"study_design_scores_gemma":[0.00096403755,0.0013664608,0.07448694,0.00010292793,0.000004811923,0.000032562104,0.00035928143,0.06959016,0.8440469,0.0056043863,0.0027672981,0.00067422655],"about_ca_topic_score_codex":0.0007712122,"about_ca_topic_score_gemma":0.0009887173,"teacher_disagreement_score":0.096320674,"about_ca_system_score_codex":0.00036415944,"about_ca_system_score_gemma":0.00016428556,"threshold_uncertainty_score":0.99993765},"labels":[],"label_agreement":null},{"id":"W2782913602","doi":"10.1101/239061","title":"Entrainment of theta, not alpha, oscillations is predictive of the brightness enhancement of a flickering stimulus","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta","funders":"Alberta Gambling Research Institute, University of Calgary","keywords":"Flicker; Stimulus (psychology); Entrainment (biomusicology); Brightness; Physics; Psychology; Rhythm; Electroencephalography; Alpha rhythm; Perception; Audiology; Communication; Neuroscience; Optics; Cognitive psychology; Acoustics; Computer science; Medicine","score_opus":0.023916251026944342,"score_gpt":0.2394803637561251,"score_spread":0.21556411272918077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2782913602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99390775,0.00006954385,0.002110464,0.0003079093,0.0015555234,0.0010332704,0.00092160195,0.00003718923,0.000056741173],"genre_scores_gemma":[0.999328,0.00014983198,0.00019919575,0.00010366975,0.00008240558,0.00007482863,1.1049264e-7,0.00004266986,0.000019284806],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997306,0.00014807384,0.0007155773,0.00073565525,0.00078020286,0.00031449835],"domain_scores_gemma":[0.9961863,0.00014755662,0.001569181,0.001644458,0.00036329677,0.00008916885],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040726623,0.00034966684,0.0005503662,0.00013983165,0.00021805226,0.00005072282,0.0009374263,0.00020654149,0.0000455775],"category_scores_gemma":[0.00036649226,0.0002816848,0.00026208753,0.00024706777,0.0004527501,0.00012367577,0.0008023819,0.000365646,0.0000030881451],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052167936,0.00017659337,0.0012381914,0.00028231123,0.00006769051,0.0000020413145,0.000059912105,0.00037127634,0.99670434,0.0010161408,0.000024790772,0.0000045601378],"study_design_scores_gemma":[0.00033107618,0.00008620678,0.04416339,0.00044412693,0.00010177961,1.1883841e-8,0.000002125736,0.0061265947,0.94824815,0.000015875114,0.00025187974,0.00022881426],"about_ca_topic_score_codex":0.00006505317,"about_ca_topic_score_gemma":0.0000018823016,"teacher_disagreement_score":0.048456203,"about_ca_system_score_codex":0.00014559054,"about_ca_system_score_gemma":0.00034550423,"threshold_uncertainty_score":0.9999635},"labels":[],"label_agreement":null},{"id":"W2783182623","doi":"10.1101/238592","title":"CosMIC: A Consistent Metric for Spike Inference from Calcium Imaging","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre; Montreal General Hospital","funders":"Canadian Institutes of Health Research; Biotechnology and Biological Sciences Research Council; Directorate for Biological Sciences","keywords":"Spike (software development); Metric (unit); Spike train; Computer science; Similarity (geometry); Train; Pattern recognition (psychology); Artificial intelligence; Smoothing; Inference; Set (abstract data type); Correlation; Ground truth; Contrast (vision); Mathematics; Algorithm; Statistics; Engineering; Geometry","score_opus":0.049935883567959374,"score_gpt":0.27690317277531706,"score_spread":0.2269672892073577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783182623","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95681554,0.0007331633,0.027428254,0.0010698972,0.008462646,0.0022400492,0.0025224888,0.0006800513,0.000047891426],"genre_scores_gemma":[0.9957725,0.0001920656,0.0019306354,0.0010130564,0.0005723106,0.00036804363,0.0000011011039,0.00013318528,0.000017147464],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99621105,0.0001425091,0.0005987756,0.0018134484,0.0005050327,0.00072916364],"domain_scores_gemma":[0.9957537,0.00066069904,0.0008956581,0.0019386801,0.0004391553,0.00031210086],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0004452465,0.0006624298,0.0007066187,0.00041173122,0.0005843291,0.001163209,0.0011961297,0.00033801116,0.000029118577],"category_scores_gemma":[0.0035189048,0.00067878363,0.0003221411,0.0003295206,0.00025899714,0.00036333496,0.000889932,0.0007923886,0.000072054296],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051367755,0.00010476636,0.0033502616,0.00016135373,0.000034034496,0.00006364076,0.000003274657,0.000059088226,0.9942877,0.0014449011,0.0004089909,0.0000305871],"study_design_scores_gemma":[0.0014109283,0.00009440432,0.053042024,0.0005778171,0.0002823085,5.3830618e-8,0.0000021895044,0.03512051,0.8903345,0.0001638002,0.0171969,0.0017745513],"about_ca_topic_score_codex":0.00024531494,"about_ca_topic_score_gemma":0.0000047348767,"teacher_disagreement_score":0.10395322,"about_ca_system_score_codex":0.0003161321,"about_ca_system_score_gemma":0.0005379957,"threshold_uncertainty_score":0.9998737},"labels":[],"label_agreement":null},{"id":"W2783950408","doi":"10.1523/eneuro.0372-16.2017","title":"Encoding of Spatial Attention by Primate Prefrontal Cortex Neuronal Ensembles","year":2018,"lang":"en","type":"article","venue":"eNeuro","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; McGill University","funders":"Canadian Institutes of Health Research; Deutsches Primatenzentrum; Deutsche Forschungsgemeinschaft; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Primate; Prefrontal cortex; Neuroscience; Psychology; Encoding (memory); Cognitive psychology; Cognition","score_opus":0.017927933756223348,"score_gpt":0.2515734432071625,"score_spread":0.23364550945093918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783950408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99452597,0.0000036938995,0.0009386763,0.00012764327,0.0011092612,0.00012266828,0.000037899335,0.000059001646,0.0030752113],"genre_scores_gemma":[0.9986269,0.000014047534,0.000029991705,0.00042620054,0.0001546661,0.0000037519403,0.000008500093,0.00001777161,0.0007181728],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99891126,0.000082224644,0.00020405611,0.00034857864,0.00025661036,0.0001972696],"domain_scores_gemma":[0.999537,0.00009134091,0.00013027925,0.0001616929,0.000030927218,0.00004873974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006429459,0.00011253498,0.00011245677,0.00004970357,0.0001232548,0.000028933595,0.00014673664,0.00003501362,0.00009021745],"category_scores_gemma":[0.00015188291,0.000104750485,0.00005673363,0.000099337834,0.0001290217,0.0001462596,0.00007476695,0.000090905196,0.000045856443],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004840251,0.000047846752,0.0007785147,0.000008218591,0.0000011101508,0.0000042757306,0.00001915638,0.0000028859724,0.99520844,0.0003380707,0.00046935488,0.003073709],"study_design_scores_gemma":[0.00029603753,0.0005177349,0.049908895,0.000011463135,0.000008512961,0.000025221394,0.0000037027314,0.006366699,0.93964577,0.00017915356,0.00290679,0.00012999386],"about_ca_topic_score_codex":0.000038840903,"about_ca_topic_score_gemma":0.000014014538,"teacher_disagreement_score":0.05556266,"about_ca_system_score_codex":0.0000143973375,"about_ca_system_score_gemma":0.000014100967,"threshold_uncertainty_score":0.42716008},"labels":[],"label_agreement":null},{"id":"W2785602314","doi":"10.1523/jneurosci.2659-17.2018","title":"Ketamine Alters Lateral Prefrontal Oscillations in a Rule-Based Working Memory Task","year":2018,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"Canadian Institutes of Health Research","keywords":"Local field potential; Working memory; Neuroscience; Prefrontal cortex; Ketamine; NMDA receptor; Psychology; Macaque; Medicine; Cognition; Internal medicine; Receptor","score_opus":0.03929699523289857,"score_gpt":0.2684093064298946,"score_spread":0.22911231119699602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2785602314","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946669,0.000007823253,0.00093120866,0.0010610897,0.0025041364,0.00011019949,0.0000036295173,0.000018118215,0.00069690734],"genre_scores_gemma":[0.9965401,0.000008930746,0.00024058284,0.0027109925,0.00024263182,0.0000015058298,1.7644204e-7,0.000012022857,0.00024304005],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99820966,0.00014218461,0.0004532562,0.0003237776,0.00053946255,0.0003316343],"domain_scores_gemma":[0.9991133,0.00016091904,0.0003565058,0.00017524096,0.00006611092,0.00012787408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037999958,0.0001362286,0.0001794616,0.0003750556,0.00021104282,0.00013284842,0.00043436242,0.00003727489,0.000014296902],"category_scores_gemma":[0.00066674117,0.00011082527,0.00009037952,0.0008241866,0.00035251328,0.00052776525,0.000063502666,0.0002845289,0.000009171647],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000717748,0.00007432814,0.0031062185,0.0000031215034,2.9162285e-7,0.000105009705,0.00008422209,0.0011733018,0.9933127,0.00005204844,0.00005998154,0.001956999],"study_design_scores_gemma":[0.0029927795,0.0027333759,0.48597583,0.00029501508,0.000023302759,0.0013149492,0.000048598456,0.28085467,0.216447,0.0010751601,0.007582435,0.00065691187],"about_ca_topic_score_codex":0.0000070128904,"about_ca_topic_score_gemma":0.00001797132,"teacher_disagreement_score":0.7768657,"about_ca_system_score_codex":0.000084051666,"about_ca_system_score_gemma":0.00011061851,"threshold_uncertainty_score":0.4519323},"labels":[],"label_agreement":null},{"id":"W2786691435","doi":"10.1101/246561","title":"Deciphering the contribution of oriens-lacunosum/moleculare (OLM) cells to intrinsic theta rhythms using biophysical local field potential (LFP) models","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Local field potential; Neuroscience; Hippocampus; Inhibitory postsynaptic potential; Place cell; Rhythm; Computer science; Biology; Physics","score_opus":0.01729436210559941,"score_gpt":0.2249980421532811,"score_spread":0.2077036800476817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786691435","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78251,0.00003353998,0.21381108,0.00024647536,0.0023279248,0.0008397123,0.0000973178,0.00012801566,0.0000059312883],"genre_scores_gemma":[0.99761546,0.000039038947,0.0009326966,0.0005954571,0.00066022243,0.000055688266,3.1624333e-7,0.00009823417,0.0000028611166],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99642307,0.00028250818,0.00066025835,0.0012550884,0.0006862102,0.0006928511],"domain_scores_gemma":[0.9971881,0.0001788861,0.00049119326,0.0013229412,0.0005766247,0.00024225492],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042499177,0.0005714108,0.0006058374,0.00018658997,0.00034712226,0.00024599873,0.00077529496,0.00046179607,0.000021309745],"category_scores_gemma":[0.00037803422,0.0004832754,0.00029691553,0.00077405444,0.0003026462,0.00021721175,0.0011109625,0.0007852033,0.00003185409],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013405996,0.00009510778,0.000023416096,0.00006056449,0.00003352513,0.000040486277,0.000009658036,0.017234175,0.9799805,0.0023380884,0.00003994758,0.000010448935],"study_design_scores_gemma":[0.00030620192,0.00018030172,0.00041408214,0.00022546286,0.00009478424,1.819222e-7,0.000002511045,0.13316213,0.8648742,0.000057979214,0.0001930083,0.0004891727],"about_ca_topic_score_codex":0.00009920622,"about_ca_topic_score_gemma":0.0000040553887,"teacher_disagreement_score":0.21510549,"about_ca_system_score_codex":0.000250566,"about_ca_system_score_gemma":0.00029964282,"threshold_uncertainty_score":0.9997619},"labels":[],"label_agreement":null},{"id":"W2786709252","doi":"10.31234/osf.io/8tkah","title":"A modeling link between cognitive and biological homeostasis","year":2023,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Simon Fraser University","keywords":"Mechanism (biology); Limiting; Cognition; Stability (learning theory); Focus (optics); Computer science; Population; Energy homeostasis; Cognitive psychology; Neuroscience; Biology; Psychology; Machine learning; Engineering; Medicine; Physics","score_opus":0.1276267125771259,"score_gpt":0.3067318960788752,"score_spread":0.17910518350174928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786709252","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99514174,0.000005173886,0.0023796186,0.0012473828,0.00006049831,0.00008980073,0.00002286907,0.0001948965,0.00085803424],"genre_scores_gemma":[0.99900526,0.00014738823,0.000025993408,0.0004781939,0.00009041307,0.0000055312694,0.000008664612,0.000005218448,0.0002333509],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999418,0.00003461929,0.000079706675,0.0002476756,0.00007381486,0.00014617165],"domain_scores_gemma":[0.9995804,0.0003066887,0.000010581393,0.000042519805,0.00001269025,0.000047109],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000086542466,0.00005991222,0.00007643657,0.00006126178,0.00010280676,0.000034175882,0.000040918527,0.000041926978,0.000020424828],"category_scores_gemma":[0.00032100335,0.000042361185,0.000021301497,0.00026742686,0.000040565403,0.000059372698,0.00007897394,0.0000766329,0.00010434684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008691518,0.0000276865,0.018086268,0.000026113219,0.000016692045,0.00008773982,0.00032610458,0.00060997874,0.21572919,0.010860487,0.00020969806,0.75393313],"study_design_scores_gemma":[0.000630276,0.0003548537,0.021114416,0.000025292844,0.000016288912,0.000013406109,0.00028536917,0.9445138,0.016216379,0.016089596,0.00039273247,0.00034758783],"about_ca_topic_score_codex":0.000009147293,"about_ca_topic_score_gemma":0.0000013021677,"teacher_disagreement_score":0.9439038,"about_ca_system_score_codex":0.000003748206,"about_ca_system_score_gemma":0.000003913725,"threshold_uncertainty_score":0.1727439},"labels":[],"label_agreement":null},{"id":"W2786868232","doi":"10.1109/cibcb.2018.8404973","title":"On the generalizability of linear and non-linear region of interest-based multivariate regression models for fMRI data","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Western Canada Research Grid; Compute Canada","keywords":"Overfitting; Multivariate statistics; Univariate; General linear model; Bayesian multivariate linear regression; Generalizability theory; Linear regression; Functional magnetic resonance imaging; Linear model; Artificial intelligence; Computer science; Proper linear model; Regression; Regression analysis; Pattern recognition (psychology); Statistics; Machine learning; Mathematics; Psychology; Artificial neural network","score_opus":0.265895420979409,"score_gpt":0.358867039736353,"score_spread":0.09297161875694399,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786868232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7388076,0.000011722536,0.25693795,0.0016987763,0.00061500043,0.0012840184,0.0004951979,0.000031313004,0.000118384705],"genre_scores_gemma":[0.9945997,0.000046867564,0.004049197,0.0008271335,0.00009231063,0.000028569453,0.000119061755,0.000026756155,0.0002103873],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980682,0.0002239736,0.0004642702,0.00089368096,0.0001927936,0.00015707238],"domain_scores_gemma":[0.99654317,0.0009463609,0.0005054466,0.0017953744,0.00016308377,0.000046583904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006348704,0.00023880212,0.00034697456,0.00008079721,0.00010252911,0.000020653602,0.0007511457,0.00020224412,0.00001466805],"category_scores_gemma":[0.0011643836,0.0001339183,0.000102782746,0.00008764859,0.00028138823,0.00009340267,0.0011204934,0.0002644016,7.518514e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0074195834,0.00195038,0.0002976571,0.0039443607,0.00009053877,0.000009870888,0.00042605543,0.112228654,0.7920122,0.040130146,0.035505764,0.0059848],"study_design_scores_gemma":[0.00039094797,0.0002542586,0.000033975048,0.0002593583,0.00002015501,8.9920445e-7,0.000004850049,0.8807814,0.105220586,0.01282419,0.00008809033,0.000121292316],"about_ca_topic_score_codex":0.00018840373,"about_ca_topic_score_gemma":0.000016366523,"teacher_disagreement_score":0.7685527,"about_ca_system_score_codex":0.000019243354,"about_ca_system_score_gemma":0.00006858644,"threshold_uncertainty_score":0.546103},"labels":[],"label_agreement":null},{"id":"W2786925105","doi":"10.1101/238584","title":"MEG sensor patterns reflect perceptual but not categorical similarity of animate and inanimate objects","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Provincia Autonoma di Trento; Deutsche Forschungsgemeinschaft; European Commission","keywords":"Animacy; Perception; Magnetoencephalography; Pattern recognition (psychology); Categorical variable; Object (grammar); Similarity (geometry); Artificial intelligence; Psychology; Stimulus (psychology); Categorical perception; Visual Objects; Visual perception; Communication; Computer science; Cognitive psychology; Electroencephalography; Neuroscience","score_opus":0.04057103372357651,"score_gpt":0.26191948003899007,"score_spread":0.22134844631541356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786925105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99658626,0.000054816745,0.0002594494,0.0002552426,0.0012088616,0.0005884831,0.0007758696,0.00024206439,0.000028933484],"genre_scores_gemma":[0.998375,0.0005420259,0.00033468555,0.00032905498,0.00024523804,0.00004729396,3.6815163e-7,0.000112544614,0.000013791435],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99640274,0.00028803296,0.0005921672,0.0015118562,0.0005626641,0.0006425533],"domain_scores_gemma":[0.99712515,0.0001769364,0.0007595918,0.001382306,0.00027627996,0.0002797413],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005133051,0.0006317961,0.00080293586,0.00023509872,0.0004199585,0.0003756502,0.00068883755,0.0005519343,0.00002460819],"category_scores_gemma":[0.0009712585,0.0006205909,0.0001723013,0.0001797331,0.0003278234,0.0002553164,0.00084492296,0.0010109813,0.00002060483],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000101301775,0.000103431295,0.0036122326,0.00050518644,0.000022029662,0.00016340663,0.00002286359,0.000012683083,0.99474335,0.00068039575,0.000029930497,0.0000032026637],"study_design_scores_gemma":[0.00042402136,0.00017398044,0.18192872,0.0001706475,0.00008508917,3.0248742e-7,0.0000046591967,0.002428221,0.81393653,0.000010396673,0.00015031907,0.0006870861],"about_ca_topic_score_codex":0.00022378418,"about_ca_topic_score_gemma":0.0000110274705,"teacher_disagreement_score":0.18080679,"about_ca_system_score_codex":0.00016806558,"about_ca_system_score_gemma":0.00024664,"threshold_uncertainty_score":0.99962455},"labels":[],"label_agreement":null},{"id":"W2787425202","doi":"10.1063/1.5026489","title":"Chaos in homeostatically regulated neural systems","year":2018,"lang":"en","type":"article","venue":"Chaos An Interdisciplinary Journal of Nonlinear Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Wellcome Trust","keywords":"Synchronization (alternating current); Homeostatic plasticity; Chaotic; Stability (learning theory); Dynamics (music); Multistability; Complex network; Node (physics); Work (physics)","score_opus":0.0324421971292099,"score_gpt":0.3351696660489993,"score_spread":0.3027274689197894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787425202","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994751,0.000022448414,0.00063466537,0.0010511895,0.0027908492,0.00017703028,0.000010340765,0.00002508539,0.0005374115],"genre_scores_gemma":[0.9983456,0.000011160581,0.0005659811,0.00022094014,0.0006580165,0.000001978728,9.016288e-7,0.000019075409,0.00017634443],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972658,0.00015010535,0.0007905783,0.0004850103,0.00080103625,0.0005074606],"domain_scores_gemma":[0.99831325,0.00012518097,0.0004486856,0.00035915244,0.00043984552,0.00031389223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00128052,0.00019766796,0.000319436,0.00069356436,0.00048316995,0.00028224936,0.0011244207,0.00006243513,0.000043653527],"category_scores_gemma":[0.0003913591,0.00014842312,0.00008975134,0.0014481173,0.0013482834,0.0015942549,0.000499176,0.00041034055,0.000037492795],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005253119,0.00047610252,0.0005808753,0.00002781945,0.00000393734,0.0005268761,0.0023300496,0.001248408,0.9841104,0.001317987,0.00014080551,0.008711425],"study_design_scores_gemma":[0.00087301567,0.0043546613,0.009833275,0.0002636727,0.000009542179,0.0025653848,0.0009890756,0.9477338,0.031457655,0.0013750928,0.00020192024,0.00034290156],"about_ca_topic_score_codex":0.000005280512,"about_ca_topic_score_gemma":0.000011415616,"teacher_disagreement_score":0.95265275,"about_ca_system_score_codex":0.00014518423,"about_ca_system_score_gemma":0.0001999472,"threshold_uncertainty_score":0.6052519},"labels":[],"label_agreement":null},{"id":"W2787630959","doi":"10.1109/ssci.2017.8280986","title":"Synergy between short-term and long-term plasticity explains direction-selectivity in visual cortex","year":2017,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Postsynaptic potential; Neuroscience; Synaptic plasticity; Nonsynaptic plasticity; Synaptic scaling; Plasticity; Computer science; Spike-timing-dependent plasticity; Metaplasticity; Term (time); Synaptic augmentation; Neurotransmission; Chemistry; Physics; Biology; Inhibitory postsynaptic potential; Excitatory postsynaptic potential; Receptor","score_opus":0.03683721462480096,"score_gpt":0.304111222506698,"score_spread":0.26727400788189704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787630959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960492,0.0000020445464,0.0010443559,0.00009845917,0.0003660086,0.00017222011,0.000011368916,0.00007903704,0.0021772997],"genre_scores_gemma":[0.9990195,0.00003268112,0.00000659266,0.000071032846,0.0001306346,0.000013797192,0.000003942598,0.000015558118,0.0007062806],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99867713,0.00007266782,0.00019227077,0.0005582822,0.00019749074,0.0003021292],"domain_scores_gemma":[0.9992405,0.0003328781,0.00008487823,0.00020974223,0.000019399215,0.00011257216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011498444,0.00017173932,0.00021802202,0.00010579041,0.00056316686,0.0002615077,0.00018876148,0.000087782355,0.000033572796],"category_scores_gemma":[0.00037681192,0.00015165277,0.000040749455,0.000093659386,0.00016171593,0.0005067545,0.00016564313,0.00021165989,0.000009131367],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028806393,0.000078249264,0.7626154,0.000010555814,0.0000033385772,0.000035814362,0.00001591645,0.0000030534059,0.2225851,0.00034312517,0.000011626165,0.01426901],"study_design_scores_gemma":[0.00025756523,0.00014065871,0.9597336,0.000017232971,0.000007882211,0.000018301136,0.0000020192972,0.0027191646,0.03683345,0.000073121984,0.000016484288,0.00018049874],"about_ca_topic_score_codex":0.00016343677,"about_ca_topic_score_gemma":0.0020743257,"teacher_disagreement_score":0.19711822,"about_ca_system_score_codex":0.000055293025,"about_ca_system_score_gemma":0.000019914987,"threshold_uncertainty_score":0.61842203},"labels":[],"label_agreement":null},{"id":"W2787849668","doi":"","title":"Extending the Framework of Equilibrium Propagation to General Dynamics","year":2018,"lang":"en","type":"article","venue":"International Conference on Learning Representations","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Backpropagation; Feed forward; Generalization; Function (biology); Learning rule; Artificial neural network; Simple (philosophy); Degree (music); Algorithm; Point (geometry); Symmetry (geometry); Artificial intelligence; Mathematics; Physics","score_opus":0.061416145007651614,"score_gpt":0.36368154145194365,"score_spread":0.302265396444292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787849668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91587716,9.1054056e-7,0.036239687,0.010744305,0.0013351494,0.00027860494,0.000019922416,0.00007339401,0.03543086],"genre_scores_gemma":[0.99370694,0.000006289699,0.0005569888,0.0005124349,0.0002977154,0.000031627274,0.00001821705,0.000012564897,0.00485722],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873996,0.00013544326,0.00023305195,0.00031977618,0.00042751015,0.00014423797],"domain_scores_gemma":[0.99893755,0.00036902897,0.0001642885,0.00020958547,0.00027357705,0.000045992856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015992034,0.00009446353,0.000080447695,0.00014823972,0.0002131623,0.0001290553,0.00036506713,0.000039672716,0.00036865193],"category_scores_gemma":[0.002194275,0.00007398196,0.0000497976,0.00032168668,0.00015506617,0.00016468985,0.00010702629,0.00024852323,0.00012857388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006754852,0.000042700653,0.0022059747,0.000002488053,0.000008500864,0.000001985102,0.00061907456,0.0044546146,0.29092163,0.6930441,0.00015052273,0.0084807975],"study_design_scores_gemma":[0.00017800575,0.00040673735,0.014546388,0.000089084504,0.000009735578,0.00001637024,0.00038080977,0.88626915,0.069900535,0.026809381,0.0012092679,0.00018452462],"about_ca_topic_score_codex":0.000041578292,"about_ca_topic_score_gemma":0.000015392621,"teacher_disagreement_score":0.88181454,"about_ca_system_score_codex":0.0000621985,"about_ca_system_score_gemma":0.000037127233,"threshold_uncertainty_score":0.40364802},"labels":[],"label_agreement":null},{"id":"W2788032477","doi":"10.3758/s13428-018-1024-9","title":"Methods for the effective study of collective behavior in a radial arm maze","year":2018,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Army Research Office; Office of Naval Research; Fonds De La Recherche Scientifique - FNRS; National Science Foundation","keywords":"Categorization; Set (abstract data type); Context (archaeology); Radial arm maze; Computer science; Artificial intelligence; Cohesion (chemistry); Cognitive psychology; Psychology; Machine learning; Cognition; Neuroscience; Working memory","score_opus":0.352439896981346,"score_gpt":0.608060397139158,"score_spread":0.25562050015781207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2788032477","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96340203,0.00003275104,0.024100251,0.00008661075,0.0008818465,0.011144959,0.00002707658,0.000033640972,0.00029085865],"genre_scores_gemma":[0.9379721,0.000009888329,0.049610317,0.000040689712,0.00018008518,0.011240619,0.000001063161,0.000052733725,0.00089246326],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9861509,0.01129816,0.00044306638,0.0008053492,0.00061783777,0.0006846547],"domain_scores_gemma":[0.98140043,0.017238429,0.00013194009,0.000632474,0.00047941567,0.00011732859],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.014087548,0.00021263465,0.00040882963,0.0006081952,0.0005151893,0.00009098365,0.0006913674,0.00012212414,0.00007603486],"category_scores_gemma":[0.0087315375,0.00015010862,0.00015009496,0.0022990175,0.0007574549,0.00014093431,0.00033342856,0.0007316389,0.000005145047],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000773078,0.0020478321,0.002638634,0.000009521189,0.000007858594,0.000013144746,0.0023016613,0.0000024481496,0.6185029,0.00025351116,0.000045006953,0.37340435],"study_design_scores_gemma":[0.0033796618,0.015369568,0.24976882,0.000020551624,0.00013398942,0.000026490032,0.002283631,0.005197729,0.7197526,0.0020301398,0.0017196179,0.00031719523],"about_ca_topic_score_codex":0.0005183994,"about_ca_topic_score_gemma":0.00023061551,"teacher_disagreement_score":0.37308717,"about_ca_system_score_codex":0.00029989998,"about_ca_system_score_gemma":0.00017636531,"threshold_uncertainty_score":0.99961835},"labels":[],"label_agreement":null},{"id":"W2788646752","doi":"10.1093/biostatistics/kxy083","title":"Fast nonconvex deconvolution of calcium imaging data","year":2018,"lang":"en","type":"preprint","venue":"Biostatistics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute on Drug Abuse; Canadian Institutes of Health Research; Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; National Science Foundation","keywords":"Deconvolution; Python (programming language); Computer science; Algorithm; Set (abstract data type); Artificial intelligence; Programming language","score_opus":0.10155622646636496,"score_gpt":0.3378078324847482,"score_spread":0.23625160601838324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2788646752","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09489096,0.0001674944,0.8457513,0.0009276744,0.016227648,0.0011005339,0.03598513,0.00025448555,0.004694782],"genre_scores_gemma":[0.9881992,0.00010715847,0.009243217,0.00042371135,0.00045689015,0.000005767111,0.0011732592,0.000043535456,0.00034730576],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998206,0.00009290139,0.00040831056,0.000754101,0.0003017273,0.00023693204],"domain_scores_gemma":[0.99797535,0.00025654247,0.0004214369,0.0011455856,0.0001291932,0.000071887516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020166373,0.00021444377,0.0002530427,0.00010757907,0.000087185406,0.00007126897,0.0007684056,0.00011612326,0.00007256193],"category_scores_gemma":[0.0010390702,0.0002119101,0.000042088817,0.00011450995,0.00030833596,0.000094267,0.0016400147,0.0002863084,0.000063454354],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024012478,0.0005318033,0.007484539,0.0020281246,0.00006602415,0.00021329444,0.00037889194,0.0003821586,0.6860715,0.030105656,0.1712985,0.10119937],"study_design_scores_gemma":[0.00044527493,0.00011735985,0.006372797,0.0002528759,0.00012578299,0.000042040432,0.000034856912,0.92017835,0.048470963,0.01427668,0.008980378,0.0007026178],"about_ca_topic_score_codex":0.00012108964,"about_ca_topic_score_gemma":0.000019841442,"teacher_disagreement_score":0.9197962,"about_ca_system_score_codex":0.000059192844,"about_ca_system_score_gemma":0.00015442287,"threshold_uncertainty_score":0.86414427},"labels":[],"label_agreement":null},{"id":"W2788792406","doi":"10.1037/rev0000105","title":"Refining the law of practice.","year":2018,"lang":"en","type":"article","venue":"Psychological Review","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Exponential function; Power law; Inference; Computer science; Law; Exponential distribution; Speedup; Function (biology); Flexibility (engineering); Artificial intelligence; Mathematics; Statistics","score_opus":0.1408713324272104,"score_gpt":0.42770532355655316,"score_spread":0.28683399112934277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2788792406","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021834273,0.014998983,0.00043397213,0.063672155,0.0014143401,0.00055027095,0.0000067303454,0.00011563827,0.8969736],"genre_scores_gemma":[0.854849,0.020156372,0.000290188,0.12416856,0.00012118717,0.00001746621,4.812792e-7,0.000006198298,0.00039058228],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990416,0.00024818684,0.0002163251,0.00022061494,0.00015867037,0.0001145706],"domain_scores_gemma":[0.9989438,0.00054429146,0.00015306653,0.0002875178,0.000044287815,0.000027029706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005710053,0.00006179582,0.0001358627,0.0000063297844,0.000093691415,0.000011714139,0.00020143672,0.000025957506,0.00031373705],"category_scores_gemma":[0.0031811548,0.000029275081,0.00006415015,0.00023871494,0.0002741671,0.0000702426,0.00004292002,0.0001277558,0.000281343],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005960339,0.00026621268,0.000020641583,0.0002042063,0.0000045591587,0.00001441472,0.000028392631,2.1666108e-7,0.0919746,0.6171884,0.015189891,0.27504885],"study_design_scores_gemma":[0.000072168245,0.00041935028,0.0003634917,0.0003353062,0.000017759125,0.00007902866,0.0000022795846,0.000016252874,0.001265008,0.002384531,0.9949806,0.00006426657],"about_ca_topic_score_codex":0.0000033378797,"about_ca_topic_score_gemma":9.3746263e-7,"teacher_disagreement_score":0.9797907,"about_ca_system_score_codex":0.0000038667326,"about_ca_system_score_gemma":0.0000020547577,"threshold_uncertainty_score":0.38083693},"labels":[],"label_agreement":null},{"id":"W2789034055","doi":"10.1038/s41598-018-19707-1","title":"Detection of time-, frequency- and direction-resolved communication within brain networks","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Alzheimer Society; Alzheimer's Society","keywords":"Electroencephalography; Computer science; Autoregressive model; Artificial intelligence; Fast Fourier transform; Time–frequency analysis; Inference; Pattern recognition (psychology); Speech recognition; Neuroscience; Psychology; Algorithm; Mathematics; Computer vision","score_opus":0.015871708810605126,"score_gpt":0.2405434545863646,"score_spread":0.2246717457757595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789034055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907706,0.000043570715,0.0025253491,0.00018125832,0.0042704293,0.00022803123,0.000001086163,0.00008659706,0.0018931009],"genre_scores_gemma":[0.997174,0.0000055698792,0.0001692131,0.00008001435,0.0000575094,0.000008127435,0.000006846802,0.000010061445,0.0024886613],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985905,0.00013242212,0.00037062506,0.0005021521,0.00025507543,0.00014922272],"domain_scores_gemma":[0.9986862,0.00012570333,0.00037663264,0.0006210266,0.00013264215,0.000057808495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011350746,0.0000903192,0.000112072295,0.00012583565,0.0005542699,0.00014617223,0.0000970543,0.000060933227,0.000040453495],"category_scores_gemma":[0.00071679876,0.00008122582,0.00003644526,0.000580553,0.0006646578,0.0002531657,0.00007131672,0.00010504648,0.000010059342],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000085285055,0.000020852383,0.00038050362,0.00000405434,0.0000017285687,0.00000463158,0.00012754263,0.00006346734,0.99489164,0.00013135425,0.000619649,0.003746049],"study_design_scores_gemma":[0.00011601417,0.000138741,0.0020100854,0.00004047172,0.000011651348,0.00025268458,0.000019532536,0.08295646,0.89417356,0.017056188,0.0030539362,0.0001706969],"about_ca_topic_score_codex":0.00006408129,"about_ca_topic_score_gemma":0.00015280754,"teacher_disagreement_score":0.1007181,"about_ca_system_score_codex":0.000025452484,"about_ca_system_score_gemma":0.000026890386,"threshold_uncertainty_score":0.42630517},"labels":[],"label_agreement":null},{"id":"W2789389748","doi":"10.1126/science.aar7186","title":"The threshold for conscious report: Signal loss and response bias in visual and frontal cortex","year":2018,"lang":"en","type":"article","venue":"Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":428,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"FP7 People: Marie-Curie Actions; European Commission; Fondation Bertarelli; Horizon 2020 Framework Programme; FP7 Ideas: European Research Council; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Canadian Institute for Advanced Research","keywords":"Visual cortex; Neuroscience; Psychology; Consciousness; Audiology; SIGNAL (programming language); Frontal cortex; Cognitive psychology; Cortex (anatomy); Medicine; Computer science","score_opus":0.03828477526669204,"score_gpt":0.31700114933555057,"score_spread":0.2787163740688585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789389748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982694,0.000025161235,0.00011852796,0.00074753794,0.00040667804,0.00022965831,0.0000054069465,0.000015140124,0.00018250113],"genre_scores_gemma":[0.99906486,0.000011946509,0.000038958984,0.00039393554,0.000041618,0.000009247505,1.6821426e-7,0.0000041490966,0.00043510692],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988699,0.000042894204,0.00014802818,0.00043766154,0.00023838876,0.00026312366],"domain_scores_gemma":[0.9990698,0.00060819136,0.00006929487,0.0001342945,0.00004677555,0.00007162418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015857602,0.00007113522,0.00006830554,0.000070776594,0.000703753,0.00020557176,0.00015836352,0.000022487333,0.0000029948758],"category_scores_gemma":[0.0014244452,0.000046968853,0.000012492604,0.0003113401,0.002613936,0.00022104011,0.000111181274,0.000068072906,0.0000026219911],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004872913,0.000016336684,0.0070183496,0.0000019545541,3.091953e-7,0.00006357817,0.00017530212,0.0000010176249,0.9865926,0.0017932768,0.00006368841,0.0037863033],"study_design_scores_gemma":[0.001851205,0.0029935301,0.5190592,0.000051509724,0.000009182007,0.0025094447,0.00047429753,0.18212561,0.261264,0.020823708,0.008272991,0.00056535914],"about_ca_topic_score_codex":0.000011639518,"about_ca_topic_score_gemma":0.00013869898,"teacher_disagreement_score":0.7253286,"about_ca_system_score_codex":0.000030279847,"about_ca_system_score_gemma":0.000119224256,"threshold_uncertainty_score":0.96311563},"labels":[],"label_agreement":null},{"id":"W2789546959","doi":"10.1002/hbm.24048","title":"Inhibition in the face of emotion: Characterization of the spatial‐temporal dynamics that facilitate automatic emotion regulation","year":2018,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Canadian Institutes of Health Research; Hospital for Sick Children; Defence Research and Development Canada","keywords":"Psychology; Inferior frontal gyrus; Magnetoencephalography; Facial expression; Cognition; Behavioral inhibition; Cognitive psychology; Context (archaeology); Lateralization of brain function; Neuroscience; Developmental psychology; Communication; Electroencephalography; Biology","score_opus":0.05307202898574104,"score_gpt":0.24870055176000186,"score_spread":0.19562852277426082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789546959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96067744,6.6214824e-7,0.0363387,0.0017966246,0.00026284385,0.00054959237,0.000023149829,0.00003327029,0.0003177389],"genre_scores_gemma":[0.99924344,0.0000011082692,0.000020713278,0.00032836973,0.00006555524,0.000009164251,0.00008746078,0.000010585169,0.00023359699],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9982737,0.0005198605,0.00042717767,0.00025089222,0.0003768634,0.00015153422],"domain_scores_gemma":[0.99899185,0.00013104815,0.00048115366,0.00031882187,0.00006284282,0.000014271353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006837319,0.00012407679,0.0001483246,0.00014904542,0.00028833118,0.000041645002,0.0001602779,0.0000678127,0.000041889078],"category_scores_gemma":[0.00022137786,0.000088863184,0.000072236384,0.000522283,0.00022559658,0.0003014946,0.000056659508,0.00012492077,0.0000049548175],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000070046244,0.000045817822,0.0023154959,0.00008675237,0.0000016573764,5.0898785e-7,0.004035436,0.000093366,0.9874711,0.0032689732,0.00002291705,0.0026509468],"study_design_scores_gemma":[0.0003196093,0.000108121494,0.7525322,0.00024075528,0.000005435467,0.00000941615,0.00060589914,0.21899214,0.021848701,0.005169817,0.000054164706,0.000113734306],"about_ca_topic_score_codex":0.00007073468,"about_ca_topic_score_gemma":0.00017708134,"teacher_disagreement_score":0.9656224,"about_ca_system_score_codex":0.00007561496,"about_ca_system_score_gemma":0.00001628952,"threshold_uncertainty_score":0.36237356},"labels":[],"label_agreement":null},{"id":"W2789685743","doi":"10.3389/fnins.2018.00123","title":"Short and Long-Term Attentional Firing Rates Can Be Explained by ST-Neuron Dynamics","year":2018,"lang":"en","type":"article","venue":"Frontiers in Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Air Force Office of Scientific Research","keywords":"Term (time); Dynamics (music); Neuroscience; Cognitive psychology; Psychology; Physics","score_opus":0.023284910035714264,"score_gpt":0.26162746991991565,"score_spread":0.2383425598842014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789685743","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898732,0.000030062187,0.0047107367,0.0013137276,0.0034811366,0.0002696184,0.0001104906,0.000073415365,0.00013766058],"genre_scores_gemma":[0.9956894,0.00009585784,0.00017926881,0.003046368,0.0000676096,0.000017934373,0.000013332564,0.000024662198,0.00086554803],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9976255,0.000111158435,0.00027707856,0.0010125554,0.00044274054,0.0005309266],"domain_scores_gemma":[0.999377,0.00008090499,0.00007861891,0.00027382717,0.00003208893,0.00015753077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020024444,0.00023122953,0.00019404257,0.000210203,0.00042355206,0.00020430345,0.00045453248,0.00006360504,0.000010101044],"category_scores_gemma":[0.00038835188,0.0002271501,0.000042471016,0.0006563047,0.00086245046,0.00047003018,0.00020481154,0.00024709498,0.0000015657016],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062387444,0.000111677,0.3457827,0.000022661516,9.667019e-7,0.00008040289,0.000060559116,0.000034187597,0.64163923,0.000529537,0.0043054544,0.0073702717],"study_design_scores_gemma":[0.0009230799,0.0008023683,0.6801973,0.000072184455,0.000015851152,0.00020568569,0.000058403963,0.25264168,0.061095513,0.0011277308,0.001917808,0.0009423877],"about_ca_topic_score_codex":0.000005394082,"about_ca_topic_score_gemma":0.000053782303,"teacher_disagreement_score":0.5805437,"about_ca_system_score_codex":0.000100049634,"about_ca_system_score_gemma":0.00003110757,"threshold_uncertainty_score":0.9262912},"labels":[],"label_agreement":null},{"id":"W2789697202","doi":"10.1038/d41586-018-02391-6","title":"How flashing lights and pink noise might banish Alzheimer’s, improve memory and more","year":2018,"lang":"en","type":"article","venue":"Nature","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Flashing; Noise (video); Natural (archaeology); Excited state; Neuroscience; Cognitive science; Computer science; Psychology; Cognitive psychology; Physics; Biology; Artificial intelligence; Chemistry","score_opus":0.013055638149318772,"score_gpt":0.2445704988218152,"score_spread":0.23151486067249644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789697202","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9827712,0.00093260495,0.000013438897,0.013462297,0.0014018301,0.00020671861,0.000021615542,0.000075836295,0.0011144248],"genre_scores_gemma":[0.99189615,0.00006279819,0.00013246975,0.0048847124,0.00050939864,0.0000037061488,0.0000027431931,0.000017982911,0.002490042],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990313,0.000032071483,0.00007538158,0.0004638217,0.00019401842,0.00020339641],"domain_scores_gemma":[0.9995386,0.00007741524,0.00005728243,0.00018301058,0.000048369853,0.00009532529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007137391,0.0001457891,0.00011595493,0.000052926654,0.00025231895,0.00023598531,0.000115910625,0.00045449348,0.0000065747895],"category_scores_gemma":[0.00019365913,0.0001106047,0.000026649559,0.00013388396,0.00016610771,0.00034555103,0.00009801016,0.00083834934,0.000005272751],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032936252,0.000014496517,0.00009167821,0.00001552292,0.000007260784,0.000024853745,0.0001985172,1.2681322e-7,0.97887605,0.0013362536,0.0051103453,0.014291931],"study_design_scores_gemma":[0.0006826345,0.00031165092,0.005676117,0.00003973605,0.000059171398,0.0001256854,0.000050115796,0.0049876533,0.88474965,0.001847018,0.101054646,0.00041592706],"about_ca_topic_score_codex":0.0000059949166,"about_ca_topic_score_gemma":0.000027326885,"teacher_disagreement_score":0.09594431,"about_ca_system_score_codex":0.00000910603,"about_ca_system_score_gemma":0.000011686459,"threshold_uncertainty_score":0.45103288},"labels":[],"label_agreement":null},{"id":"W2789713194","doi":"10.21037/aes.2018.ab051","title":"AB051. Dynamics of visual cortex are dependent on pulvinar activity","year":2018,"lang":"en","type":"article","venue":"Annals of Eye Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Visual cortex; Neuroscience; Cortex (anatomy); Local field potential; Lateral geniculate nucleus; Psychology","score_opus":0.0662108498371696,"score_gpt":0.3630900501985959,"score_spread":0.29687920036142634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789713194","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99472564,0.0000027283613,0.00022711916,0.00084754947,0.0006432693,0.00012458462,0.000032457545,0.000021205618,0.0033754255],"genre_scores_gemma":[0.9989168,0.000023208964,0.00002200608,0.0006080678,0.00004032415,0.0000019469924,5.083605e-7,0.000007274912,0.00037985263],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99813795,0.0000531689,0.00020603398,0.0004985183,0.00077299756,0.00033135802],"domain_scores_gemma":[0.9988231,0.00012219982,0.0003303663,0.00033732146,0.00028518608,0.00010179812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054172566,0.00011959969,0.00017884948,0.0001964493,0.00021993762,0.00003628534,0.00052889186,0.000041636977,0.000030370018],"category_scores_gemma":[0.0008517111,0.00010176597,0.00006581555,0.0008432555,0.0013201219,0.00039862556,0.0001586126,0.00011248608,0.00002732242],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010073241,0.0002723547,0.0014833696,0.000012786571,0.0000013237219,0.0000046919167,0.0000417676,0.000024039357,0.9829201,0.0048506395,0.00009189029,0.010196299],"study_design_scores_gemma":[0.0001076685,0.0013534892,0.10887319,0.000041123745,0.0000025988181,0.0000037219936,0.000026859117,0.033185724,0.85466087,0.0015641805,0.000055095166,0.00012549246],"about_ca_topic_score_codex":0.000045827113,"about_ca_topic_score_gemma":0.000060237744,"teacher_disagreement_score":0.12825926,"about_ca_system_score_codex":0.00002758986,"about_ca_system_score_gemma":0.00008477013,"threshold_uncertainty_score":0.48640442},"labels":[],"label_agreement":null},{"id":"W2790886370","doi":"10.1002/cpns.51","title":"A Compact Head‐Mounted Endoscope for In Vivo Calcium Imaging in Freely Behaving Mice","year":2018,"lang":"en","type":"article","venue":"Current Protocols in Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research; Hospital for Sick Children; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Calcium imaging; Calcium; Endoscope; Biomedical engineering; Computer science; Microscope; In vivo; Population; Neuroscience; Computer vision; Materials science; Optics; Biology; Physics; Engineering; Medicine; Surgery","score_opus":0.13024804115511288,"score_gpt":0.4337511073330398,"score_spread":0.3035030661779269,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790886370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93316114,0.000011374827,0.0019100689,0.0004544354,0.0019818954,0.06187251,0.000063880274,0.00010340733,0.00044128482],"genre_scores_gemma":[0.98420537,0.000003140029,0.00006892474,0.000673902,0.000093636496,0.01486962,9.881151e-7,0.000027842458,0.00005656418],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9966981,0.00022613145,0.00061351265,0.0011687542,0.00042015823,0.0008733562],"domain_scores_gemma":[0.99897397,0.00028880782,0.00019451858,0.00037162637,0.000054020824,0.00011704921],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006558796,0.00028170258,0.0002892794,0.0005431258,0.00019549602,0.0002308696,0.0008264431,0.000045806664,0.000013392719],"category_scores_gemma":[0.0015398407,0.00027425334,0.00006474089,0.0017278402,0.00045401993,0.00083445123,0.0001828883,0.0004384439,0.0000070103074],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012284108,0.00039591908,0.057038117,0.000067471134,4.375352e-8,0.000020035302,0.000099462675,0.000129522,0.93900645,0.0004473861,0.00015211727,0.0025206602],"study_design_scores_gemma":[0.0043994975,0.001022382,0.12950453,0.0014561773,0.000003038991,0.000053293254,0.000033635893,0.32673368,0.508594,0.00088006,0.026487894,0.0008318504],"about_ca_topic_score_codex":0.00011294141,"about_ca_topic_score_gemma":0.00028252313,"teacher_disagreement_score":0.43041247,"about_ca_system_score_codex":0.00022538894,"about_ca_system_score_gemma":0.00013389459,"threshold_uncertainty_score":0.999971},"labels":[],"label_agreement":null},{"id":"W2791066858","doi":"10.1016/j.tics.2018.02.011","title":"Normalization and the Cholinergic Microcircuit: A Unified Basis for Attention","year":2018,"lang":"en","type":"review","venue":"Trends in Cognitive Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":127,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Medical Research Council","keywords":"Psychology; Neuroscience; Cholinergic; Normalization (sociology); Cognitive science; Cognitive psychology","score_opus":0.26284698648028204,"score_gpt":0.4268756469475871,"score_spread":0.16402866046730508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791066858","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002007208,0.98108214,0.0010561659,0.00041929242,0.0016100621,0.0019917462,0.0004070417,0.00007960781,0.011346747],"genre_scores_gemma":[0.010751669,0.9870419,0.00002714678,0.00028096806,0.00017167554,0.0002344723,0.000049464288,0.000016658645,0.0014260302],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99803233,0.0003507879,0.0003788136,0.00072775036,0.00023532932,0.00027496918],"domain_scores_gemma":[0.9981479,0.0013167913,0.00033403217,0.00010205993,0.00006547863,0.000033710472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010856547,0.00023837198,0.0004934971,0.0005026636,0.00048262754,0.00019994481,0.0002930751,0.000106970365,0.000030246922],"category_scores_gemma":[0.00092194875,0.00013812438,0.00019312136,0.0017299107,0.0013983842,0.00022260833,0.00007830802,0.00014673016,0.000007798798],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002310239,0.000024695259,0.0000072660287,0.00038868788,0.000005467339,0.0000011618769,0.00007424607,7.2033146e-7,0.000023691966,0.003925415,0.000071249226,0.9954543],"study_design_scores_gemma":[0.010134996,0.0019383216,0.00083655777,0.030925848,0.0026468302,0.00048238973,0.00072811876,0.026922973,0.00037452724,0.016094578,0.9053307,0.003584146],"about_ca_topic_score_codex":0.000013965022,"about_ca_topic_score_gemma":0.000050073937,"teacher_disagreement_score":0.99187016,"about_ca_system_score_codex":0.000032542346,"about_ca_system_score_gemma":0.00006114762,"threshold_uncertainty_score":0.5632549},"labels":[],"label_agreement":null},{"id":"W2791418972","doi":"10.1073/pnas.1721572115","title":"Towards an unconscious neural reinforcement intervention for common fears","year":2018,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":171,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; Fonds de Recherche du Québec - Santé; National Institutes of Health","keywords":"Unconscious mind; Reinforcement; Intervention (counseling); Psychology; Cognitive psychology; Psychotherapist; Social psychology; Psychoanalysis; Psychiatry","score_opus":0.07200846606898524,"score_gpt":0.3476115423463338,"score_spread":0.27560307627734854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791418972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99421847,0.0000042877364,0.000012995084,0.0022338056,0.000108322994,0.00027862532,0.000012541909,0.000015266647,0.0031157017],"genre_scores_gemma":[0.9986364,0.0000030048932,0.0002354443,0.00079411926,0.00010687912,0.000012599865,1.6887824e-7,0.000003417975,0.00020792095],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986277,0.000008223387,0.00027515873,0.00023827456,0.0007132886,0.0001373154],"domain_scores_gemma":[0.9993416,0.000074384065,0.00035791905,0.000008369253,0.00018824513,0.000029478131],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086949253,0.00007258578,0.00009635589,0.0001115865,0.0003041508,0.000043058,0.0006203549,0.000042363292,0.000010928889],"category_scores_gemma":[0.00059931236,0.000048277587,0.00008354385,0.0004412935,0.0008404447,0.0006007249,0.00011080257,0.00007864304,7.590662e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006163539,0.000049621045,0.00049846515,0.000036148802,0.0000024175843,2.1532485e-9,0.00010116252,0.00014360472,0.89530516,0.0969149,0.00038601473,0.0065008774],"study_design_scores_gemma":[0.0002488995,0.0005574201,0.006716744,0.000036806596,0.0000063153916,0.0000072688085,0.000062232895,0.088505246,0.8287796,0.074759,0.00025016695,0.00007032777],"about_ca_topic_score_codex":0.000008599673,"about_ca_topic_score_gemma":4.5885142e-7,"teacher_disagreement_score":0.08836164,"about_ca_system_score_codex":0.000030310237,"about_ca_system_score_gemma":0.000012953069,"threshold_uncertainty_score":0.30966535},"labels":[],"label_agreement":null},{"id":"W2791636058","doi":"10.1016/j.neuron.2018.03.012","title":"Dissecting Modulatory Effects of Visual Attention in Primate Lateral Prefrontal Cortex Using Signal Detection Theory","year":2018,"lang":"en","type":"letter","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Western University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Prefrontal cortex; Neuroscience; Primate; Psychology; Cognitive psychology; Visual cortex; Visual attention; Cognition","score_opus":0.013583983098350306,"score_gpt":0.25735951099465937,"score_spread":0.24377552789630907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791636058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950453,0.000008862446,0.00045665356,0.00032002165,0.0034444244,0.0005576025,0.000009525213,0.00007856237,0.00007906392],"genre_scores_gemma":[0.98702335,0.0000042654206,0.000009139287,0.011250611,0.0012854306,0.000014453683,0.000017745097,0.000084080115,0.00031092664],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99746543,0.00049602863,0.0004287956,0.0007586378,0.00043387566,0.00041720894],"domain_scores_gemma":[0.99892974,0.000334353,0.0004299862,0.00022329733,0.000048594215,0.00003402238],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018080734,0.00033543122,0.00034195388,0.0003164532,0.00013554808,0.000058314847,0.00017867821,0.00039390044,0.000016488664],"category_scores_gemma":[0.00017147708,0.00032822663,0.00015435329,0.00022909213,0.00012320011,0.0002820931,0.00010878338,0.0010363213,0.000010480742],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000790326,0.00005502885,0.00031591128,0.00036596443,0.000004837424,0.00015621245,0.000033462744,0.00006193507,0.9970606,0.0000063590537,0.00012028507,0.0017403635],"study_design_scores_gemma":[0.001191565,0.001928582,0.070635185,0.0007098807,0.00012152544,0.00017125445,0.000006210023,0.14225148,0.7803509,0.0010547764,0.00068805943,0.00089055474],"about_ca_topic_score_codex":0.000041194715,"about_ca_topic_score_gemma":0.000011559408,"teacher_disagreement_score":0.21670967,"about_ca_system_score_codex":0.00016517802,"about_ca_system_score_gemma":0.000024158484,"threshold_uncertainty_score":0.999917},"labels":[],"label_agreement":null},{"id":"W2792388533","doi":"10.1016/j.nlm.2018.02.017","title":"Prior knowledge modulates the neural substrates of encoding and retrieving naturalistic events at short and long delays","year":2018,"lang":"en","type":"article","venue":"Neurobiology of Learning and Memory","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":109,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University; Baycrest Hospital; University of Toronto","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Neuroscience; Encoding (memory); Psychology; Biological neural network; Cognitive science","score_opus":0.024296273482954683,"score_gpt":0.2721085721374864,"score_spread":0.24781229865453172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792388533","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988701,0.0004532407,0.0000042398647,0.00011872387,0.00028245154,0.00011179195,0.000002471751,0.00001988008,0.00013711076],"genre_scores_gemma":[0.9993045,0.00026230855,0.000008161315,0.00006812264,0.000045029756,0.0000013615479,0.0000017011615,0.0000095818295,0.00029928045],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990511,0.00022112476,0.0001928179,0.00031339884,0.000050985484,0.00017060098],"domain_scores_gemma":[0.99899507,0.00072936516,0.000112936716,0.000080700076,0.00004218084,0.00003975667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022618106,0.00011759757,0.00018563645,0.00005909215,0.0003227792,0.000010915772,0.00007789517,0.0000721361,0.0000066530647],"category_scores_gemma":[0.0005306015,0.00008167918,0.000025525625,0.00010125427,0.00064974296,0.000064409316,0.00015576612,0.00023875076,6.1141253e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006943645,0.000010296077,0.062575884,0.00005256347,0.0000047161802,0.0000023637638,0.0002882588,0.000025064242,0.9327633,0.000068188965,0.0000057663647,0.004134185],"study_design_scores_gemma":[0.0006421734,0.0015272856,0.5111982,0.00013271958,0.000075824406,0.0005166586,0.00017561976,0.027600756,0.4574581,0.00017909735,0.0001844547,0.00030905334],"about_ca_topic_score_codex":0.000004544505,"about_ca_topic_score_gemma":0.000010322981,"teacher_disagreement_score":0.47530517,"about_ca_system_score_codex":0.000005444743,"about_ca_system_score_gemma":0.000007545464,"threshold_uncertainty_score":0.33307803},"labels":[],"label_agreement":null},{"id":"W2792409111","doi":"10.21037/aes.2018.ab072","title":"AB072. Functional impact of the lateral posterior nucleus on the mouse primary visual cortex","year":2018,"lang":"en","type":"article","venue":"Annals of Eye Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Association for Canadian Studies; Université de Montréal","funders":"","keywords":"Lateral geniculate nucleus; Visual cortex; Neuroscience; Thalamus; Cortex (anatomy); Nucleus; Optogenetics; Visual system; Primate; Functional connectivity; Biology; Psychology","score_opus":0.06058398449722948,"score_gpt":0.33662196292089047,"score_spread":0.276037978423661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792409111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957387,0.0000017825988,0.000005578178,0.0014243677,0.00043707044,0.00015775138,0.000037669288,0.000013551936,0.002183559],"genre_scores_gemma":[0.99574864,0.000005500702,0.000005033338,0.0035171171,0.00007086233,0.0000021205337,5.5094876e-7,0.0000068993954,0.0006433037],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984612,0.000074533644,0.00020987436,0.00031221472,0.0006641005,0.00027810317],"domain_scores_gemma":[0.9990026,0.0001477221,0.00020497557,0.00036742075,0.0002175728,0.00005972733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005002344,0.00010999923,0.00011362589,0.00008070973,0.00039006976,0.00006296527,0.00061576604,0.000026945972,0.0001285428],"category_scores_gemma":[0.0004588156,0.00005371432,0.000140475,0.0007137869,0.0017845804,0.0003066224,0.000201315,0.00011259083,0.000031491803],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000104861734,0.00007181908,0.001395857,0.0000026955338,0.0000021556775,4.659991e-7,0.000079762794,0.000025004549,0.9956801,0.00089946063,0.000567067,0.0011707742],"study_design_scores_gemma":[0.00008173503,0.00079833023,0.52283585,0.000014086366,0.000002033253,0.000006058647,0.000005545727,0.0021826848,0.47355825,0.0003286457,0.00012020404,0.00006658784],"about_ca_topic_score_codex":0.000042237072,"about_ca_topic_score_gemma":0.000003397213,"teacher_disagreement_score":0.52212185,"about_ca_system_score_codex":0.000022772432,"about_ca_system_score_gemma":0.00016120724,"threshold_uncertainty_score":0.6575361},"labels":[],"label_agreement":null},{"id":"W2792533381","doi":"10.1093/cercor/bhy009","title":"The Prolonged Masking of Temporal Acoustic Inputs with Noise Drives Plasticity in the Adult Rat Auditory Cortex","year":2018,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Centre for Research on Brain Language and Music; Montreal Neurological Institute and Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Tonotopy; Auditory cortex; Neuroscience; Masking (illustration); Plasticity; Neuroplasticity; Modulation (music); Noise (video); Excitatory postsynaptic potential; Receptive field; Auditory masking; Biology; Psychology; Inhibitory postsynaptic potential; Physics; Acoustics; Computer science","score_opus":0.012585891922522666,"score_gpt":0.23187139238544885,"score_spread":0.2192855004629262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792533381","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968058,0.0000041342673,0.0005412418,0.00051000377,0.0009165848,0.00047658535,0.000009589314,0.000039343555,0.00069675787],"genre_scores_gemma":[0.99852604,0.0000069637563,0.000025665899,0.00082024635,0.0003185289,0.000028265094,0.0000026727007,0.000018566714,0.00025307646],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983488,0.00020809268,0.00028930913,0.00038625847,0.0004224827,0.0003450725],"domain_scores_gemma":[0.9987679,0.00052580034,0.00023742461,0.0003087711,0.00010993114,0.00005018535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017465118,0.0001851715,0.00017771557,0.00006136956,0.00040232073,0.000084759886,0.0004607013,0.00006400978,0.000018235301],"category_scores_gemma":[0.00045857142,0.00009506963,0.000050486513,0.00040663133,0.0007054017,0.0001803536,0.00008304092,0.00031417116,0.000019634363],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011834026,0.00024638092,0.045577716,0.000067741945,0.000015586109,0.00007466536,0.0014848061,0.00020005033,0.9448386,0.0022882025,0.0018788413,0.0021440422],"study_design_scores_gemma":[0.0021825314,0.0029103125,0.86909586,0.0002053737,0.000072638606,0.00012829572,0.00063564203,0.07600798,0.045708764,0.0014384841,0.0010139561,0.00060013955],"about_ca_topic_score_codex":0.00003517338,"about_ca_topic_score_gemma":0.0011535238,"teacher_disagreement_score":0.8991298,"about_ca_system_score_codex":0.000033934393,"about_ca_system_score_gemma":0.00007931099,"threshold_uncertainty_score":0.3876827},"labels":[],"label_agreement":null},{"id":"W2792911100","doi":"10.1016/j.concog.2018.02.005","title":"Attention is a sterile concept; iterative reentry is a fertile substitute","year":2018,"lang":"en","type":"article","venue":"Consciousness and Cognition","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reentrancy; Perception; Computer science; Metaphor; Cognitive psychology; Cognitive science; Object (grammar); Through-the-lens metering; Psychology; Computer vision; Zoom; Artificial intelligence; Communication; Lens (geology); Neuroscience; Optics; Physics","score_opus":0.02611845068248557,"score_gpt":0.26170025504915073,"score_spread":0.23558180436666515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792911100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932677,0.000037752474,0.0018574389,0.00074334565,0.0005912585,0.00026408053,0.0001492438,0.00007147172,0.003017717],"genre_scores_gemma":[0.9939703,0.000044507586,0.000018330686,0.004614663,0.00017444207,0.000031300235,0.000026439398,0.0000110399,0.0011090016],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99902487,0.000058488484,0.00016119801,0.0004142619,0.00015577044,0.00018538587],"domain_scores_gemma":[0.9995383,0.00005348018,0.000087262626,0.00012027269,0.00013273077,0.00006792711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000053576598,0.00013113787,0.00012369035,0.000059891387,0.0003852977,0.00015922186,0.000059980426,0.000064631575,0.00044328757],"category_scores_gemma":[0.000046739868,0.00011859439,0.000042805383,0.00017267867,0.00034217403,0.0003308873,0.000046294193,0.00008066482,0.0001246326],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033632768,0.00013449334,0.0010013289,0.0000458425,0.000017642886,0.000028187276,0.0019917674,1.9399266e-7,0.9440422,0.0035070484,0.0046396074,0.04425533],"study_design_scores_gemma":[0.0038823397,0.0012055853,0.019097457,0.00039563197,0.00016166843,0.00022663856,0.0008030801,0.019519564,0.91576713,0.022448137,0.0154513335,0.0010414335],"about_ca_topic_score_codex":0.000011445904,"about_ca_topic_score_gemma":0.000016011807,"teacher_disagreement_score":0.043213896,"about_ca_system_score_codex":0.000014013934,"about_ca_system_score_gemma":0.00001812282,"threshold_uncertainty_score":0.48536882},"labels":[],"label_agreement":null},{"id":"W2792922772","doi":"10.21037/aes.2018.ab062","title":"AB062. Cortical state contribution to neuronal response variability","year":2018,"lang":"en","type":"article","venue":"Annals of Eye Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Neuroscience; State (computer science); Psychology; Computer science","score_opus":0.05747926741749151,"score_gpt":0.3598037299419894,"score_spread":0.3023244625244979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792922772","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921239,6.976286e-7,0.0026414078,0.003947683,0.0005883975,0.00019374915,0.000036720572,0.00003671542,0.00043072883],"genre_scores_gemma":[0.99551606,0.000002704418,0.00010836948,0.0041081244,0.000045952802,0.000004308505,3.419219e-7,0.000004565322,0.00020959065],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99782455,0.00030346742,0.00026715873,0.00056009,0.0006086565,0.00043605498],"domain_scores_gemma":[0.99824953,0.00056993216,0.000090403206,0.0003534898,0.0005063383,0.00023030795],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0032358805,0.00009589164,0.0001264927,0.00014076417,0.00034875725,0.00006922136,0.00041933678,0.0000244248,0.00004743744],"category_scores_gemma":[0.015600858,0.000081829254,0.00004451113,0.001205657,0.0014003235,0.00037385715,0.0001720867,0.00011170733,0.00010848903],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006953588,0.000097999495,0.0005661504,0.0000017154442,4.1364171e-7,0.0000022929528,0.00006449819,0.000020393194,0.9903762,0.006792999,0.00014175313,0.0012402624],"study_design_scores_gemma":[0.00014527238,0.0009331787,0.18747674,0.000007794425,0.0000013904456,0.0000034668747,0.0000021081896,0.005610883,0.79857206,0.004088866,0.0030564193,0.000101810394],"about_ca_topic_score_codex":0.000011091762,"about_ca_topic_score_gemma":0.0000028157465,"teacher_disagreement_score":0.19180408,"about_ca_system_score_codex":0.000024196423,"about_ca_system_score_gemma":0.00016930282,"threshold_uncertainty_score":0.99269116},"labels":[],"label_agreement":null},{"id":"W2792950038","doi":"10.1093/acrefore/9780190236557.013.386","title":"Neurocognitive Aging and Brain Signal Complexity","year":2019,"lang":"en","type":"reference-entry","venue":"Oxford Research Encyclopedia of Psychology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"","keywords":"Neurocognitive; Cognition; Balance (ability); Neuroscience; Psychology; Cognitive aging; Human brain; Brain function; Cognitive psychology; Computer science","score_opus":0.13835819598031843,"score_gpt":0.406196099584926,"score_spread":0.2678379036046076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792950038","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029676393,0.00047589355,0.00016529846,0.0037635895,0.0021877831,0.0011624534,0.00047529495,0.000054661632,0.96203864],"genre_scores_gemma":[0.051021088,0.664416,0.00035387234,0.005283239,0.0022524593,0.00022954533,0.00043741346,0.00028090982,0.27572548],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99439466,0.0015836022,0.0005605404,0.0014506313,0.0010095324,0.0010010602],"domain_scores_gemma":[0.9953504,0.0032650265,0.00030098637,0.00058538554,0.00026487367,0.00023331681],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0009898865,0.00040043218,0.0007084443,0.0008495796,0.00026040533,0.00006584775,0.0007339037,0.00052164367,0.0005395336],"category_scores_gemma":[0.001494907,0.00035826155,0.00014467778,0.0006957811,0.0013944028,0.00016433753,0.0006009338,0.0025919806,0.00008907877],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005434802,0.000479982,0.0011936657,0.0011349599,0.00005246792,0.00026490694,0.00027990688,0.0000018949074,0.0045221304,0.007537632,0.3086734,0.67531556],"study_design_scores_gemma":[0.0009432507,0.001215188,0.0041960157,0.0002673324,0.000018005143,0.00011705209,0.000047510188,0.00019967397,0.00016043428,0.014830654,0.97759545,0.0004094142],"about_ca_topic_score_codex":0.000051466974,"about_ca_topic_score_gemma":0.000034357607,"teacher_disagreement_score":0.68631315,"about_ca_system_score_codex":0.000052935382,"about_ca_system_score_gemma":0.00025106073,"threshold_uncertainty_score":0.99988693},"labels":[],"label_agreement":null},{"id":"W2792958650","doi":"10.1016/j.neulet.2018.02.020","title":"Suction electrode recording in locus coeruleus of newborn rat brain slices reveals network bursting comprising summated non-synchronous spiking","year":2018,"lang":"en","type":"article","venue":"Neuroscience Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Science and Engineering Research Council; Natural Sciences and Engineering Research Council of Canada; University Hospital Foundation; National Science Council; University of Alberta; Royal University Hospital Foundation","keywords":"Locus coeruleus; Bursting; Neuroscience; Biology; Central nervous system; Psychology","score_opus":0.020881238025769296,"score_gpt":0.2613771581266708,"score_spread":0.24049592010090148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792958650","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9816993,0.000007617993,0.011016403,0.0037917073,0.0027630054,0.00036900857,0.0000025322595,0.00012237379,0.00022808809],"genre_scores_gemma":[0.988249,0.00001423584,0.00073527236,0.010447027,0.00046562942,0.000008975093,0.0000016708574,0.00003527314,0.000042884956],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99664015,0.0003020691,0.00061325665,0.0009907433,0.0005050611,0.00094874797],"domain_scores_gemma":[0.99848604,0.0004890524,0.00049168064,0.0003748046,0.000056304612,0.00010208769],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00079931814,0.00028034928,0.00034901293,0.00031293178,0.0005649743,0.00021096405,0.000552626,0.00007820188,0.0000073926217],"category_scores_gemma":[0.0009414713,0.00028538692,0.00007914987,0.0022409798,0.0005156662,0.00075030106,0.00014021859,0.00041373057,0.00000893685],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051232964,0.00002685769,0.00919382,0.00002083888,5.4573616e-7,0.000040294963,0.00009560714,0.008195634,0.9769802,0.000074888645,0.000695728,0.004624361],"study_design_scores_gemma":[0.000997173,0.00082541135,0.027461154,0.00048229296,0.00001700419,0.0002345088,0.00004042666,0.25264046,0.71380264,0.00038865343,0.0023112781,0.00079897017],"about_ca_topic_score_codex":0.00023159132,"about_ca_topic_score_gemma":0.00007050008,"teacher_disagreement_score":0.2631775,"about_ca_system_score_codex":0.00014923174,"about_ca_system_score_gemma":0.000042116582,"threshold_uncertainty_score":0.9999598},"labels":[],"label_agreement":null},{"id":"W2793241663","doi":"10.1101/261271","title":"Neural signatures of the processing of temporal patterns in sound","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research; Canada First Research Excellence Fund","keywords":"Electroencephalography; Categorization; Perception; Psychology; Coherence (philosophical gambling strategy); Speech recognition; Brain activity and meditation; Synchronization (alternating current); Neural activity; Task (project management); Neural adaptation; Communication; Computer science; Cognitive psychology; Neuroscience; Adaptation (eye); Artificial intelligence","score_opus":0.021403382978156308,"score_gpt":0.23588486324009023,"score_spread":0.21448148026193392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793241663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976623,0.00010433827,0.00015183208,0.00012621039,0.0012375558,0.00049815356,0.00015657187,0.000056727138,0.0000062930717],"genre_scores_gemma":[0.9994216,0.000016441341,0.00011177715,0.00019724148,0.0001659811,0.000029070776,7.33253e-8,0.000054811604,0.0000029960888],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997747,0.00020628801,0.00056958536,0.0006965517,0.0004551428,0.00032541782],"domain_scores_gemma":[0.9980906,0.00008440313,0.00077732746,0.0007784009,0.00020687387,0.0000623891],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032860634,0.00032309242,0.00041196746,0.00020514012,0.000092403745,0.00007829224,0.00077282253,0.00030017007,0.000013970046],"category_scores_gemma":[0.00041061736,0.00025299023,0.00014716547,0.00058732874,0.00028382306,0.00013832992,0.00057255046,0.00068883644,0.0000017785914],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030447254,0.00009950279,0.071444504,0.0004903786,0.0000054279712,0.00000838061,0.000012238784,0.00026297927,0.927475,0.00014895537,0.000019326275,0.0000028772745],"study_design_scores_gemma":[0.0002501923,0.000057084824,0.29705125,0.0005201595,0.00002212061,1.5173692e-8,0.00000181879,0.007050532,0.6946799,0.00002511592,0.000046762663,0.00029503138],"about_ca_topic_score_codex":0.00007424304,"about_ca_topic_score_gemma":0.000015767208,"teacher_disagreement_score":0.23279507,"about_ca_system_score_codex":0.00007746547,"about_ca_system_score_gemma":0.00023737104,"threshold_uncertainty_score":0.99999225},"labels":[],"label_agreement":null},{"id":"W2793466044","doi":"10.1016/j.nbd.2018.02.008","title":"Phase-amplitude coupling and epileptogenesis in an animal model of mesial temporal lobe epilepsy","year":2018,"lang":"en","type":"article","venue":"Neurobiology of Disease","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":54,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute of Biomedical Imaging and Bioengineering; Science and Engineering Research Council; Canadian Institutes of Health Research; Fondation Brain Canada","keywords":"Epileptogenesis; Status epilepticus; Dentate gyrus; Hippocampal formation; Epilepsy; Hippocampus; Pilocarpine; Ictal; Entorhinal cortex; Neuroscience; Coupling (piping); Electrophysiology; Temporal lobe; Electroencephalography; Diazepam; Chemistry; Medicine; Internal medicine; Anesthesia; Psychology; Materials science","score_opus":0.04672182527089663,"score_gpt":0.3055157692691906,"score_spread":0.258793943998294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793466044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99913657,0.000008989278,0.00019288828,0.00012706331,0.00013779778,0.00018659259,0.00016087363,0.000023308416,0.000025903411],"genre_scores_gemma":[0.9994723,0.000016350612,0.00010231709,0.00031257237,0.00005132842,0.000007243924,0.000013788469,0.000014699603,0.000009407736],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988135,0.00009332764,0.0003197466,0.00046606804,0.00008787158,0.00021945726],"domain_scores_gemma":[0.9993337,0.00010572163,0.00014995557,0.00022561633,0.00004709819,0.0001379056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011679136,0.0001385151,0.00024351169,0.00012350462,0.00006033781,0.000008098761,0.0001727646,0.00006355351,0.000018597924],"category_scores_gemma":[0.00014652716,0.00012894947,0.000053062613,0.00014692056,0.0005533678,0.00013742776,0.00008059577,0.000083914674,0.0000018781618],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014374285,0.0005219853,0.04913752,0.000026182144,0.0000016940803,0.0000027698939,0.000032626092,0.00047494602,0.947227,0.00088889967,0.000011916367,0.00023702675],"study_design_scores_gemma":[0.0043489393,0.006244652,0.11800781,0.000037132177,0.00006123052,0.0000040455257,0.000023918179,0.4982901,0.37005454,0.0024870853,0.000022539656,0.00041799777],"about_ca_topic_score_codex":0.000012387984,"about_ca_topic_score_gemma":0.000012602154,"teacher_disagreement_score":0.57717246,"about_ca_system_score_codex":0.000007761716,"about_ca_system_score_gemma":0.00005558033,"threshold_uncertainty_score":0.52584064},"labels":[],"label_agreement":null},{"id":"W2793512753","doi":"10.1016/j.bbr.2018.01.030","title":"Development of novel tasks for studying view-invariant object recognition in rodents: Sensitivity to scopolamine","year":2018,"lang":"en","type":"article","venue":"Behavioural Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge; University of Guelph","funders":"","keywords":"Scopolamine; Psychology; Neuroscience; Invariant (physics); Cognitive psychology; Sensitivity (control systems); Cognitive neuroscience of visual object recognition; Object (grammar); Cognitive science; Artificial intelligence; Computer science; Physics; Medicine; Pharmacology","score_opus":0.3331265402538494,"score_gpt":0.4220361634089062,"score_spread":0.0889096231550568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793512753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935945,0.0000024866715,0.0033822858,0.0009939895,0.00023980999,0.001550185,0.00010080776,0.000025946825,0.00010997371],"genre_scores_gemma":[0.9918581,0.0000016078704,0.0072571305,0.00032072212,0.0000798732,0.00016629914,0.000030766507,0.000025676567,0.00025981225],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9972281,0.0003472385,0.00044469468,0.0006149737,0.0007483264,0.0006166574],"domain_scores_gemma":[0.99817884,0.0009694327,0.000079930905,0.0002530063,0.00039161465,0.0001271878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038203658,0.00015232347,0.0002288814,0.00051525095,0.0003565243,0.000073137344,0.00020925027,0.00007953195,0.00003184667],"category_scores_gemma":[0.0028787972,0.00014188616,0.000051288207,0.0010253359,0.0001543096,0.0001950013,0.00026320462,0.0002781431,0.00003788384],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021791007,0.00040305385,0.001285817,0.00003103418,0.000002318356,0.000011733915,0.0006755634,0.000002839328,0.9628329,0.00014239665,0.00016516254,0.034229267],"study_design_scores_gemma":[0.0018709643,0.0009780978,0.09782247,0.00032038114,0.0000059812214,0.000025076313,0.00042738006,0.00524576,0.89231586,0.00017882351,0.0004633177,0.00034591203],"about_ca_topic_score_codex":0.00033272294,"about_ca_topic_score_gemma":0.0022869655,"teacher_disagreement_score":0.09653665,"about_ca_system_score_codex":0.00022563369,"about_ca_system_score_gemma":0.00016091137,"threshold_uncertainty_score":0.578595},"labels":[],"label_agreement":null},{"id":"W2793868058","doi":"10.1371/journal.pcbi.1006041","title":"Brain-state invariant thalamo-cortical coordination revealed by non-linear encoders","year":2018,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Interpretability; Computer science; Wakefulness; Neuroscience; Sensory system; Artificial intelligence; Population; Machine learning; Photostimulation; Psychology; Electroencephalography","score_opus":0.028355713685723396,"score_gpt":0.27562701220466246,"score_spread":0.24727129851893906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793868058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92758965,0.000003981687,0.0629422,0.0073932083,0.00048052348,0.00028202712,0.0000843718,0.00009575224,0.0011282793],"genre_scores_gemma":[0.992308,0.0000030304536,0.0010687796,0.0057765925,0.00016715385,0.000016976404,0.00014839544,0.000015415548,0.00049560674],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985623,0.00022940907,0.00028445976,0.00047627173,0.00017747673,0.0002701195],"domain_scores_gemma":[0.99853146,0.0010115154,0.00011992975,0.00011428882,0.00013963037,0.00008315478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016664552,0.00014279308,0.00016457081,0.00009338677,0.00024737907,0.000028311431,0.00017234152,0.000084178144,0.00010005668],"category_scores_gemma":[0.00077470706,0.00012576612,0.000046280114,0.00025443375,0.00033195788,0.00011317532,0.000070988135,0.00017468396,0.00029857908],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011526197,0.0001993155,0.0019493387,0.000010709696,0.000017895814,0.00000921754,0.000117923984,0.00094243477,0.9714687,0.01531536,0.008618547,0.0012353368],"study_design_scores_gemma":[0.0009292578,0.0007760544,0.006443975,0.000013334985,0.000011572301,0.000041399246,0.00000887215,0.9191457,0.031060072,0.03889415,0.0023824682,0.000293129],"about_ca_topic_score_codex":0.000010824237,"about_ca_topic_score_gemma":0.0000044676376,"teacher_disagreement_score":0.9404086,"about_ca_system_score_codex":0.00004280229,"about_ca_system_score_gemma":0.00005377385,"threshold_uncertainty_score":0.51285934},"labels":[],"label_agreement":null},{"id":"W2793876895","doi":"10.1016/j.cub.2018.01.065","title":"Brain Evolution: Intelligence without a Cortex","year":2018,"lang":"en","type":"letter","venue":"Current Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Biology; Cortex (anatomy); Evolutionary biology; Neuroscience; Cognitive science","score_opus":0.06682732213092618,"score_gpt":0.32753286374731794,"score_spread":0.26070554161639176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793876895","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0076898,0.0009979416,0.031817876,0.90232056,0.050537698,0.0013319261,0.0005521611,0.000596788,0.004155266],"genre_scores_gemma":[0.07631169,0.00031547656,0.000056461056,0.8974102,0.018775858,0.000110611676,0.0006455506,0.000093798626,0.0062803323],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99755424,0.00033945314,0.0003527897,0.0010318098,0.00017262354,0.00054908596],"domain_scores_gemma":[0.9987352,0.0003718504,0.00026819017,0.00049386313,0.00007356216,0.000057343477],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00013503607,0.00034974446,0.00035331078,0.0001917059,0.0001628959,0.000044803266,0.0005904406,0.00058445276,0.00033137383],"category_scores_gemma":[0.0005894673,0.00028634904,0.00014823947,0.00027032415,0.0006298506,0.000048769292,0.00020205887,0.0014241991,0.0012136208],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014668701,0.000020558267,0.00017749381,0.000051842697,0.0000049104283,0.000019501911,0.000012200147,3.1799053e-7,0.012636369,0.0032838548,0.9706943,0.013084],"study_design_scores_gemma":[0.000074615804,0.00025720242,0.000081657985,0.000053483025,0.000013534867,0.00007604273,0.0000010705647,0.0009435831,0.0006139896,0.011254001,0.9862894,0.0003414591],"about_ca_topic_score_codex":0.000009200708,"about_ca_topic_score_gemma":0.000004626389,"teacher_disagreement_score":0.068621896,"about_ca_system_score_codex":0.000113486385,"about_ca_system_score_gemma":0.00008789846,"threshold_uncertainty_score":0.9999589},"labels":[],"label_agreement":null},{"id":"W2794094786","doi":"10.1002/hbm.23984","title":"Breakdown in the temporal and spatial organization of spontaneous brain activity during general anesthesia","year":2018,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health; Ottawa Hospital; University of Ottawa","funders":"Canadian Institutes of Health Research; Hangzhou Normal University; Hope for Depression Research Foundation","keywords":"Unconsciousness; Wakefulness; Neuroscience; Psychology; Consciousness; Functional magnetic resonance imaging; Spatial variability; Electroencephalography; Mathematics","score_opus":0.020635803118707448,"score_gpt":0.23902763624674403,"score_spread":0.2183918331280366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794094786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99618655,0.0000012433271,0.00043929977,0.0028796466,0.000051908362,0.00022505815,0.0000016508966,0.00003627244,0.00017836315],"genre_scores_gemma":[0.99840707,0.0000010323121,0.000026478048,0.001090872,0.0002026687,0.0000033302567,0.000004126212,0.000016773425,0.0002476782],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988425,0.0002557994,0.00019019676,0.00031391866,0.0001975838,0.00020003288],"domain_scores_gemma":[0.99942803,0.00019067124,0.00012592647,0.00019528104,0.00003177064,0.000028329374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032613572,0.00012353504,0.00013793816,0.00012804745,0.00035021856,0.00007044285,0.0001709919,0.00005480371,0.00003550029],"category_scores_gemma":[0.0002963137,0.000101855534,0.00002326083,0.0003707458,0.00017004981,0.00014585903,0.000053938445,0.00013145633,0.0000038442613],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017265964,0.00003496123,0.0055607664,0.000023263996,0.0000011718516,0.00014424654,0.001130007,0.000010566719,0.99118215,0.0011914078,0.00007535313,0.00062886],"study_design_scores_gemma":[0.0006117717,0.00017343236,0.9556943,0.000047157195,0.0000038287403,0.0017275778,0.000114670765,0.0045017176,0.03565783,0.00081233424,0.0004221592,0.00023320824],"about_ca_topic_score_codex":0.00035011035,"about_ca_topic_score_gemma":0.00037836152,"teacher_disagreement_score":0.9555243,"about_ca_system_score_codex":0.000031955242,"about_ca_system_score_gemma":0.00001530833,"threshold_uncertainty_score":0.41535482},"labels":[],"label_agreement":null},{"id":"W2794866603","doi":"10.1093/schbul/sby016.420","title":"T144. THE ROLE OF TRANSIENT BETA OSCILLATIONS IN ABERRANT SELECTIVE ATTENTION TO SALIENT EVENTS IN SCHIZOPHRENIA","year":2018,"lang":"en","type":"article","venue":"Schizophrenia Bulletin","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Magnetoencephalography; BETA (programming language); Neuroscience; Bursting; Psychology; Stimulus (psychology); Perception; Electroencephalography; Audiology; Cognitive psychology; Computer science; Medicine","score_opus":0.012060837136785447,"score_gpt":0.23734473489546942,"score_spread":0.225283897758684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794866603","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925346,0.00002706925,0.000121565594,0.0046594474,0.0004528352,0.0008530483,0.0000329958,0.000037186986,0.0012812811],"genre_scores_gemma":[0.9988875,0.0000124942,0.0002895463,0.00042646422,0.000110061665,0.000076184166,0.0000059409213,0.00002595047,0.00016589306],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9976387,0.00032963316,0.00054318446,0.0006155747,0.00045448315,0.0004184412],"domain_scores_gemma":[0.9991296,0.0001741111,0.00014912622,0.00036898995,0.00008672195,0.00009144694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046901067,0.00022217816,0.00025756945,0.000368349,0.00019100984,0.000025237949,0.000355268,0.000086920816,0.000125217],"category_scores_gemma":[0.00023268013,0.00017562363,0.0001062163,0.0012530211,0.00013730783,0.00007150122,0.0000978605,0.0003083934,0.00024991302],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003543907,0.00053263444,0.008048751,0.0000178716,0.000012680295,0.000006709117,0.001357692,0.0012131418,0.958589,0.011240228,0.00073390716,0.014703435],"study_design_scores_gemma":[0.0060690986,0.0012427646,0.8074597,0.0003633877,0.000041361756,0.000028086744,0.00035738442,0.008518259,0.14823404,0.013251318,0.013588096,0.00084650534],"about_ca_topic_score_codex":0.00031791575,"about_ca_topic_score_gemma":0.0015049846,"teacher_disagreement_score":0.810355,"about_ca_system_score_codex":0.00011187925,"about_ca_system_score_gemma":0.00006112873,"threshold_uncertainty_score":0.71617234},"labels":[],"label_agreement":null},{"id":"W2794983659","doi":"10.1038/s41598-018-21624-2","title":"Dynamical complexity and computation in recurrent neural networks beyond their fixed point","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agence Nationale de la Recherche; Volkswagen Foundation; Ottawa Hospital Research Institute","keywords":"Edge of chaos; Synchronization (alternating current); Artificial neural network; Computer science; Reduction (mathematics); Computation; Recurrent neural network; Computational complexity theory; Artificial intelligence; Theoretical computer science; Algorithm; Mathematics","score_opus":0.04078690624108592,"score_gpt":0.27869162132692177,"score_spread":0.23790471508583586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794983659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872988,0.000015116842,0.002107124,0.00049082143,0.009157292,0.00028995398,0.0000033489225,0.00006144468,0.0005761333],"genre_scores_gemma":[0.9994036,0.0000017365478,0.00012033436,0.00019397892,0.00009030233,0.0000063159787,0.00003198679,0.000009784052,0.00014195278],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99803877,0.00013078934,0.00040085238,0.0008475426,0.00027574034,0.0003062961],"domain_scores_gemma":[0.9992497,0.00009356431,0.00019049174,0.0002958322,0.00006858222,0.00010181111],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007341241,0.00013713028,0.00015625656,0.00014252118,0.00036009218,0.00029962076,0.000086946035,0.000051954783,0.000030163514],"category_scores_gemma":[0.00021123119,0.00011212939,0.000043725748,0.00054274686,0.00079267204,0.00022593257,0.0001326634,0.000176708,0.0000047094695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036524335,0.0011863237,0.040531415,0.00010522447,0.000017705157,0.0015225465,0.002850883,0.012523112,0.6574994,0.008469731,0.015814224,0.25911418],"study_design_scores_gemma":[0.00014198222,0.00009730568,0.014929856,0.00001564686,0.0000030461074,0.0003047428,0.00002033669,0.95508605,0.0029697975,0.025817689,0.00046188687,0.00015168826],"about_ca_topic_score_codex":0.000017881019,"about_ca_topic_score_gemma":0.00015851164,"teacher_disagreement_score":0.94256294,"about_ca_system_score_codex":0.000050244635,"about_ca_system_score_gemma":0.000020220603,"threshold_uncertainty_score":0.4572504},"labels":[],"label_agreement":null},{"id":"W2795171475","doi":"10.1523/jneurosci.3503-17.2018","title":"Understanding the Hierarchical Organization of Large-Scale Networks Based on Temporal Modulations in Patterns of Neural Connectivity","year":2018,"lang":"en","type":"letter","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto","funders":"","keywords":"Neuroscience; Functional connectivity; Scale (ratio); Artificial neural network; Computer science; Psychology; Artificial intelligence; Cognitive science; Geography; Cartography","score_opus":0.06423794416850472,"score_gpt":0.27200909812438784,"score_spread":0.20777115395588314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795171475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7421222,0.0000022630911,0.16123824,0.09315985,0.0029756587,0.00035054662,0.00008769194,0.000014076212,0.00004949815],"genre_scores_gemma":[0.9369938,0.000008924248,0.000022477612,0.062472805,0.00044465056,9.4160316e-7,0.000003912433,0.000025166935,0.000027320404],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970458,0.00058627676,0.00073057925,0.0003738994,0.0009416999,0.00032172486],"domain_scores_gemma":[0.9971396,0.0010648011,0.001253403,0.00032844653,0.00016159525,0.000052156025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066643424,0.00020816471,0.00038578062,0.0004397467,0.0002000295,0.00006751615,0.000669061,0.00019146675,0.000013730516],"category_scores_gemma":[0.0013384278,0.00014429736,0.00014600271,0.0012180737,0.00035894735,0.00026926099,0.00009231828,0.0014822846,2.951806e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035048838,0.0011475567,0.14404565,0.00027592707,0.000008291169,0.0006472022,0.0005994316,0.5387705,0.28843853,0.0009587186,0.024514731,0.00024297497],"study_design_scores_gemma":[0.000581393,0.00088324444,0.05711582,0.00021264746,0.000021256561,0.00010778332,0.000023705725,0.9374489,0.0024257265,0.00043110957,0.0005521632,0.00019621175],"about_ca_topic_score_codex":0.0000069822418,"about_ca_topic_score_gemma":0.000013371432,"teacher_disagreement_score":0.39867845,"about_ca_system_score_codex":0.000116252806,"about_ca_system_score_gemma":0.00012669241,"threshold_uncertainty_score":0.6439871},"labels":[],"label_agreement":null},{"id":"W2795225864","doi":"10.1117/1.nph.5.2.025005","title":"High-performance, inexpensive setup for simultaneous multisite recording of electrophysiological signals and mesoscale voltage imaging in the mouse cortex","year":2018,"lang":"en","type":"article","venue":"Neurophotonics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Alberta Innovates; Natural Sciences and Engineering Research Council of Canada; Alzheimer Society; National Science Foundation","keywords":"Local field potential; Electrophysiology; Voltage-sensitive dye; Multielectrode array; Neuroscience; Microelectrode; Neuroimaging; Brain function; Brain activity and meditation; Optical recording; Cortex (anatomy); Computer science; Electrode; Biomedical engineering; Electroencephalography; Physics; Medicine; Psychology; Telecommunications","score_opus":0.014257376562581523,"score_gpt":0.24517039120982312,"score_spread":0.2309130146472416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795225864","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99883425,0.0000127878375,0.0001945513,0.00009099313,0.00020199691,0.0005534678,0.000031569125,0.000030558713,0.000049847436],"genre_scores_gemma":[0.997511,0.00018022014,0.00016421628,0.0019594203,0.00006015229,0.000024662246,0.000005071239,0.000022084743,0.00007314205],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986859,0.000103122235,0.00027607774,0.0004513719,0.00017003184,0.00031350055],"domain_scores_gemma":[0.9984519,0.0010414599,0.00014759396,0.0002397614,0.00008322518,0.000036062327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015056359,0.00016314942,0.00022616472,0.00007864549,0.00018029951,0.0000430254,0.00022607311,0.000045927492,0.000008345569],"category_scores_gemma":[0.00063886394,0.000114593444,0.000046626672,0.00026580013,0.00020603242,0.00011707838,0.00007674652,0.00020205809,0.000004065635],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026823985,0.000046433863,0.0001719321,0.00001645447,0.000001066912,0.000025727664,0.00007212878,0.00039183977,0.99605656,0.00014348912,0.000053997133,0.0027521313],"study_design_scores_gemma":[0.000581082,0.0013748294,0.0015539887,0.000012604526,0.000009249962,0.00004572666,0.000027198921,0.4162113,0.5791084,0.00027464578,0.0006448503,0.00015611853],"about_ca_topic_score_codex":0.00003220883,"about_ca_topic_score_gemma":0.0000088963925,"teacher_disagreement_score":0.41694817,"about_ca_system_score_codex":0.00001794295,"about_ca_system_score_gemma":0.000012630309,"threshold_uncertainty_score":0.46729848},"labels":[],"label_agreement":null},{"id":"W2795302666","doi":"10.3389/fncir.2018.00027","title":"Editorial: Spontaneous Activity in Sensory Systems","year":2018,"lang":"en","type":"editorial","venue":"Frontiers in Neural Circuits","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute of Neurological Disorders and Stroke; Fonds de Recherche du Québec - Santé; National Institute on Aging; National Institutes of Health; National Science Foundation","keywords":"Neuroscience; Sensory system; Psychology; Biological neural network; Cognitive science","score_opus":0.01626209051120096,"score_gpt":0.24536516006714804,"score_spread":0.2291030695559471,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795302666","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02633451,0.0001495663,0.0000432883,0.000036804784,0.9711064,0.0009077684,0.0003558889,0.00016386194,0.0009019211],"genre_scores_gemma":[0.10206007,0.00019523375,0.0000049752653,0.000049647766,0.89505357,0.00007550198,0.000049984283,0.00012521083,0.0023858205],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99407417,0.0008581435,0.00071423536,0.0016862206,0.0016596981,0.0010075457],"domain_scores_gemma":[0.9973423,0.0011361045,0.0004698221,0.00073400943,0.00013838938,0.00017938066],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.00064330164,0.0006950409,0.0010733182,0.0007769731,0.00014797742,0.0002657923,0.0008519235,0.0016382899,0.000008969069],"category_scores_gemma":[0.0037332508,0.0007141021,0.00018538866,0.00077962916,0.00023279485,0.0004221528,0.0001634973,0.0026010203,0.000049576378],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019217649,0.00009670918,0.00008158916,0.00016865824,0.0000057487505,0.0013051028,0.000053069263,0.00023542038,0.009941158,0.0000064339297,0.98563457,0.0022793538],"study_design_scores_gemma":[0.0012174031,0.0003310967,0.000076238524,0.00025482,0.000023416378,0.000094202114,0.000024590337,0.012841184,0.0004519004,0.00018375611,0.9835409,0.0009604759],"about_ca_topic_score_codex":0.00031224033,"about_ca_topic_score_gemma":0.00017504061,"teacher_disagreement_score":0.07605284,"about_ca_system_score_codex":0.0009759698,"about_ca_system_score_gemma":0.0002807987,"threshold_uncertainty_score":0.9997},"labels":[],"label_agreement":null},{"id":"W2795306133","doi":"10.1152/jn.00037.2018","title":"Primary sensorimotor cortex exhibits complex dependencies of spike-field coherence on neuronal firing rates, field power, and behavior","year":2018,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Institute of Dental and Craniofacial Research; Canadian Institutes of Health Research","keywords":"Coherence (philosophical gambling strategy); Local field potential; Neuroscience; Somatosensory system; Spike train; Neurophysiology; Premovement neuronal activity; Neuronal firing; Spike (software development); Psychology; Electrophysiology; Physics; Computer science","score_opus":0.03730005145849855,"score_gpt":0.2826470679523152,"score_spread":0.24534701649381666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795306133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978721,0.000007681386,0.00003300026,0.00033453817,0.0011483271,0.00012212817,0.000008184271,0.000011179138,0.0004628459],"genre_scores_gemma":[0.9953231,0.00006539217,0.00009091153,0.0042140866,0.00021913664,0.0000014314928,5.032771e-7,0.0000149322395,0.000070456364],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986187,0.0001638271,0.0004440688,0.00028823846,0.0002611926,0.00022397844],"domain_scores_gemma":[0.99828047,0.00084495026,0.0004531788,0.00018179722,0.00014644953,0.00009314434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000050712097,0.00016561997,0.00033878378,0.00012681207,0.0001134793,0.000023026143,0.00024385452,0.00007649921,0.00012408063],"category_scores_gemma":[0.00054329284,0.0001334247,0.00009485865,0.00013159953,0.00020017028,0.0001381922,0.00011415325,0.00039115135,0.000009006304],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004836837,0.00012646793,0.0003891642,0.000016961083,0.0000034628285,0.0001378046,0.000021005051,0.000012362999,0.99530786,0.000116628464,0.00025655836,0.0031280625],"study_design_scores_gemma":[0.00071254215,0.01597333,0.62526315,0.00005034702,0.000033702858,0.000731252,0.0000103559805,0.0004854571,0.35572475,0.00029734342,0.0005259805,0.0001917713],"about_ca_topic_score_codex":0.000005841376,"about_ca_topic_score_gemma":0.0000011982272,"teacher_disagreement_score":0.6395831,"about_ca_system_score_codex":0.000013126982,"about_ca_system_score_gemma":0.000043191198,"threshold_uncertainty_score":0.54409015},"labels":[],"label_agreement":null},{"id":"W2795616523","doi":"10.1101/266205","title":"Feature Specific Prediction Errors and Surprise across Macaque Fronto-Striatal Circuits during Attention and Learning","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Anterior cingulate cortex; Feature (linguistics); Surprise; Ventral striatum; Macaque; Feature selection; Computer science; Prefrontal cortex; Artificial intelligence; Striatum; Neuroscience; Psychology; Pattern recognition (psychology); Machine learning; Cognition; Communication","score_opus":0.01609957934809713,"score_gpt":0.21915364375278554,"score_spread":0.2030540644046884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795616523","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99524945,0.00030389606,0.000372506,0.00017634612,0.002272587,0.0006780637,0.0004885275,0.0004513712,0.0000072261246],"genre_scores_gemma":[0.9976722,0.0010432126,0.00016398769,0.000052435396,0.00082246447,0.00005939172,0.0000017635124,0.00011379334,0.00007077102],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99660254,0.00028737573,0.00037436213,0.0016759582,0.00043886874,0.0006209239],"domain_scores_gemma":[0.998413,0.00009152991,0.00046089315,0.00058797497,0.00017461272,0.00027197046],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00047906753,0.00055650383,0.00044320803,0.00019891257,0.0008573214,0.0006212899,0.00026423432,0.00063189724,0.000013784489],"category_scores_gemma":[0.00042200182,0.00060017785,0.00010532603,0.00033543905,0.0002807498,0.00044315445,0.0006389509,0.0015033322,0.000020552165],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056096254,0.00003696181,0.024780381,0.00026352052,0.000021491349,0.000051727566,0.000028655695,0.000036231122,0.9745657,0.000042113235,0.00010160554,0.000015547],"study_design_scores_gemma":[0.0011854342,0.00014063872,0.779212,0.0005006052,0.000065158645,9.600938e-7,0.000015939404,0.002882808,0.21236013,0.0000040762525,0.002735361,0.000896916],"about_ca_topic_score_codex":0.000021588858,"about_ca_topic_score_gemma":0.000005114936,"teacher_disagreement_score":0.76220554,"about_ca_system_score_codex":0.00021647922,"about_ca_system_score_gemma":0.00007123127,"threshold_uncertainty_score":0.99964494},"labels":[],"label_agreement":null},{"id":"W2795775526","doi":"10.1101/291526","title":"Propagation of information along the cortical hierarchy as a function of attention while reading and listening to stories","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Active listening; Stimulus (psychology); Hierarchy; Selective auditory attention; Psychology; Reading (process); Sensory system; Cognitive psychology; Task (project management); Computer science; Communication; Cognition; Selective attention; Linguistics; Neuroscience","score_opus":0.01739637891699618,"score_gpt":0.2271236896502477,"score_spread":0.20972731073325152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795775526","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9882091,0.000017891394,0.00961181,0.0001978473,0.0010485343,0.0007636641,0.000049065296,0.00008127533,0.000020807678],"genre_scores_gemma":[0.9991231,0.000030336236,0.00043438433,0.00016317843,0.00014793393,0.00007150048,5.9121015e-7,0.000024334513,0.0000046727205],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982147,0.00017801255,0.00056713464,0.00039638227,0.00043144394,0.00021230476],"domain_scores_gemma":[0.9982299,0.00014945683,0.0006018551,0.00044585246,0.00048341905,0.00008949795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006669852,0.00021884877,0.0002640601,0.00025547214,0.00023133247,0.00014971671,0.0001994498,0.00018073304,0.000008546886],"category_scores_gemma":[0.0012836056,0.00018420319,0.000065854976,0.0005009049,0.0001975799,0.0004996846,0.00029402232,0.00034462288,0.000011331969],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013180263,0.000026372147,0.0022195529,0.00029758128,0.000014127863,8.7348945e-7,0.00006803496,0.00006267666,0.9915987,0.005510544,0.000039580194,0.00003010989],"study_design_scores_gemma":[0.00038463363,0.00060564093,0.32151508,0.00074655405,0.00013735154,1.2138567e-7,0.000029296936,0.008932043,0.6662514,0.000032591393,0.00093261426,0.00043264028],"about_ca_topic_score_codex":0.00006289271,"about_ca_topic_score_gemma":0.0000029270816,"teacher_disagreement_score":0.3253473,"about_ca_system_score_codex":0.00009480147,"about_ca_system_score_gemma":0.00014020779,"threshold_uncertainty_score":0.75115883},"labels":[],"label_agreement":null},{"id":"W2796038212","doi":"10.1523/jneurosci.1182-17.2018","title":"The Magnitude, But Not the Sign, of MT Single-Trial Spike-Time Correlations Predicts Motion Detection Performance","year":2018,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre; McGill University","funders":"Canadian Institutes of Health Research","keywords":"Correlation; Sign (mathematics); Spike (software development); Magnitude (astronomy); Psychology; Contrast (vision); Audiology; Visual cortex; Statistics; Neuroscience; Mathematics; Physics; Computer science; Artificial intelligence; Medicine","score_opus":0.037192557070854795,"score_gpt":0.2466031000565541,"score_spread":0.20941054298569928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2796038212","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899601,0.000005785283,0.003615817,0.0008124962,0.0049717943,0.00027720054,0.0000047958906,0.000017217291,0.00033484158],"genre_scores_gemma":[0.99828213,0.00005837874,0.000021222615,0.0004910779,0.000531398,0.000002989438,8.468395e-8,0.000009890407,0.00060281326],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99793583,0.00021909291,0.00053997454,0.00022742813,0.0008294722,0.00024820736],"domain_scores_gemma":[0.9979801,0.00056207424,0.0008172574,0.00026560342,0.00030250696,0.00007246799],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008499992,0.00012179796,0.0001346803,0.00011525086,0.0010114558,0.00016099286,0.000623466,0.00004601613,0.000006933862],"category_scores_gemma":[0.0027030327,0.00006762811,0.00010556545,0.00070890994,0.0008116799,0.0006750379,0.00008603154,0.00034134314,0.000016055508],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010063061,0.000093893424,0.00005888347,0.0000027824933,7.347193e-7,0.0000026293515,0.00003837963,0.0004080175,0.9890385,0.000055924585,0.00006322647,0.00923072],"study_design_scores_gemma":[0.002924297,0.008210857,0.039690617,0.00004373682,0.000038771606,0.0005320103,0.000023444887,0.18845733,0.7567178,0.00027846932,0.0029202069,0.00016244575],"about_ca_topic_score_codex":0.0000031550442,"about_ca_topic_score_gemma":0.0000037602028,"teacher_disagreement_score":0.23232068,"about_ca_system_score_codex":0.00004433656,"about_ca_system_score_gemma":0.00007180985,"threshold_uncertainty_score":0.7779403},"labels":[],"label_agreement":null},{"id":"W2796091328","doi":"10.1007/s00221-018-5249-8","title":"Do perturbation-evoked responses result in higher reaction time costs depending on the direction and magnitude of perturbation?","year":2018,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Rehabilitation Institute; University Health Network; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Perturbation (astronomy); Magnitude (astronomy); Physics; Audiology; Neuroscience; Psychology; Medicine; Quantum mechanics","score_opus":0.11601510875844795,"score_gpt":0.3868976842096488,"score_spread":0.27088257545120087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2796091328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9691566,0.000046745965,9.788439e-7,0.005853408,0.00025809926,0.0004948123,0.000008616092,0.00003142961,0.024149295],"genre_scores_gemma":[0.97902614,0.000021505468,0.000018049263,0.00039193482,0.00014514441,0.00006789273,0.0000048501943,0.00001904128,0.020305427],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9973164,0.0010204664,0.00022897792,0.00046597523,0.0006887627,0.0002793818],"domain_scores_gemma":[0.99645025,0.0030589139,0.00007237862,0.00026017692,0.00010114593,0.00005711701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013966848,0.00012176104,0.00011407071,0.00036728958,0.0004425641,0.00011230887,0.00016971987,0.00007546568,0.00025539385],"category_scores_gemma":[0.0025361544,0.00008987569,0.00003104456,0.00064946216,0.00039193823,0.0002489512,0.00011145176,0.00030496574,0.000087467386],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00085119635,0.00013134656,0.00012321211,0.0000033979977,0.0000023523767,0.000004152623,0.0005816003,6.336291e-7,0.98495334,0.01079184,0.0014932544,0.0010636591],"study_design_scores_gemma":[0.0006270113,0.0010374383,0.022600258,0.00007131313,0.0000012481162,0.000012277037,0.0005894091,0.0026645793,0.9686544,0.0012469264,0.002358149,0.0001370091],"about_ca_topic_score_codex":0.00007259465,"about_ca_topic_score_gemma":0.000010313045,"teacher_disagreement_score":0.022477046,"about_ca_system_score_codex":0.00028616923,"about_ca_system_score_gemma":0.000030059628,"threshold_uncertainty_score":0.36650243},"labels":[],"label_agreement":null},{"id":"W2796243302","doi":"10.1109/crv.2018.00059","title":"Convolutional Neural Networks Regularized by Correlated Noise","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; Canadian Institute for Advanced Research; University of Waterloo","funders":"Agence Nationale de la Recherche","keywords":"Correlation; Convolutional neural network; Pattern recognition (psychology); Regularization (linguistics); Artificial intelligence; Computer science; Visual cortex; Noise (video); Dropout (neural networks); Differentiable function; Artificial neural network; Mathematics; Neuroscience; Image (mathematics); Machine learning; Psychology","score_opus":0.020158921148082286,"score_gpt":0.23850396637628402,"score_spread":0.21834504522820172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2796243302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8566095,0.00018586878,0.0896288,0.0039810506,0.02659279,0.002009991,0.00042695375,0.0014909849,0.019074026],"genre_scores_gemma":[0.9758208,0.0000605554,0.00015433223,0.003283814,0.00048446847,0.00004215732,0.00039740626,0.00005216711,0.019704314],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974956,0.00020477879,0.00041438534,0.0010354408,0.00040886,0.00044093467],"domain_scores_gemma":[0.99871397,0.00021102878,0.00026631638,0.000546074,0.00010546107,0.00015714289],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017307131,0.0003726191,0.00033275297,0.00008485957,0.00023155213,0.0001803835,0.00048000246,0.00052397256,0.00087895367],"category_scores_gemma":[0.0002399194,0.00032563246,0.00020049517,0.00020519886,0.00030756183,0.000104540595,0.00073726324,0.0009820103,0.00012775605],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084036955,0.00046026628,0.0007058837,0.00008086114,0.000069378046,0.00008015188,0.000038626065,0.048030343,0.38853562,0.011259333,0.54663205,0.0032671303],"study_design_scores_gemma":[0.0004907766,0.0000794183,0.00032575405,0.000023348364,0.00002556978,0.00003272446,0.0000013225357,0.9910544,0.0024119995,0.0024386235,0.0027247632,0.0003912633],"about_ca_topic_score_codex":0.00006071973,"about_ca_topic_score_gemma":0.000005268374,"teacher_disagreement_score":0.9430241,"about_ca_system_score_codex":0.000094189265,"about_ca_system_score_gemma":0.000056684545,"threshold_uncertainty_score":0.9999196},"labels":[],"label_agreement":null},{"id":"W2796467498","doi":"10.1101/265843","title":"From categories to dimensions: spatio-temporal dynamics of the cerebral representations of emotion in voice","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Biotechnology and Biological Sciences Research Council; Directorate for Biological Sciences; Fondation pour la Recherche Médicale; Agence Nationale de la Recherche; Aix-Marseille Université","keywords":"Psychology; Functional magnetic resonance imaging; Categorical perception; Categorical variable; Perception; Cognitive psychology; Brain activity and meditation; Arousal; Valence (chemistry); Electroencephalography; Context (archaeology); Neuroscience; Speech perception; Computer science","score_opus":0.02003150816130553,"score_gpt":0.24286495526836063,"score_spread":0.2228334471070551,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2796467498","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99445844,0.000018180694,0.00094784226,0.00071950315,0.0022030547,0.00078816595,0.00079217803,0.00006247438,0.000010190611],"genre_scores_gemma":[0.99853694,0.00001802591,0.0010385611,0.0001278788,0.00016478362,0.000054050965,0.0000021499586,0.00004820411,0.000009410507],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975198,0.0002845373,0.0006829147,0.00079999754,0.00044759497,0.00026519236],"domain_scores_gemma":[0.9975032,0.0001930558,0.0006580723,0.0012148529,0.00033885622,0.00009193843],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028442612,0.0002898475,0.00039535813,0.00026348326,0.00011880935,0.00006154471,0.0005896629,0.00024518458,0.000026676042],"category_scores_gemma":[0.0011651561,0.00025633126,0.00012953024,0.0009889902,0.00023503826,0.0001603264,0.00069663656,0.0004092335,0.000013921876],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008546446,0.00022830405,0.08818284,0.00014706192,0.00002789338,0.0000063831553,0.00009175527,0.0015628629,0.9054991,0.003895524,0.0002703166,0.0000024879223],"study_design_scores_gemma":[0.00035474045,0.00008044014,0.3750734,0.00041128675,0.00006004134,1.30703945e-8,0.000023295584,0.01795919,0.6052182,0.00028170084,0.00014418598,0.00039350722],"about_ca_topic_score_codex":0.0018974512,"about_ca_topic_score_gemma":0.00042070085,"teacher_disagreement_score":0.3002809,"about_ca_system_score_codex":0.00021045342,"about_ca_system_score_gemma":0.00028097586,"threshold_uncertainty_score":0.9999889},"labels":[],"label_agreement":null},{"id":"W2796533672","doi":"10.1101/299859","title":"Parameterizing neural power spectra","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":181,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; Whitehall Foundation; National Institute of Mental Health; Natural Sciences and Engineering Research Council of Canada; University of California, San Diego; National Science Foundation","keywords":"Aperiodic graph; A priori and a posteriori; Computer science; Oscillation (cell signaling); Narrowband; Population; Spectral density; Algorithm; SIGNAL (programming language); Completeness (order theory); Mathematics; Telecommunications; Biology","score_opus":0.024118104770289105,"score_gpt":0.23178524612572257,"score_spread":0.20766714135543346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2796533672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909185,0.0000802152,0.00080148416,0.00041836686,0.0061381124,0.0006440475,0.00016971279,0.00074214564,0.0000873866],"genre_scores_gemma":[0.9959893,0.0000704841,0.0014241633,0.0014727442,0.0007744216,0.00008107763,1.3577602e-7,0.00017075526,0.000016879741],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99605316,0.00023438873,0.0005597511,0.0017447578,0.0005699712,0.0008379954],"domain_scores_gemma":[0.9973554,0.00015679622,0.00046393796,0.0015232507,0.0001918209,0.0003088025],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00037445957,0.0006852936,0.00054554647,0.00029289178,0.0003125481,0.0005835505,0.00087223237,0.00047262773,0.00017569408],"category_scores_gemma":[0.00071567454,0.00069469045,0.00026085816,0.0005556798,0.0002812741,0.00027676875,0.0007675428,0.001085151,0.00034590243],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003524061,0.000083368344,0.00053085136,0.00007569209,0.000017259294,0.00011985858,0.0000041622898,0.00003576909,0.9976538,0.0010486048,0.0003939078,0.0000015058587],"study_design_scores_gemma":[0.0003771013,0.00022520864,0.023571763,0.00018759845,0.000059626076,1.2470228e-7,8.484781e-7,0.007926031,0.9610884,0.000028129776,0.0052977577,0.0012373994],"about_ca_topic_score_codex":0.000016153022,"about_ca_topic_score_gemma":6.782237e-7,"teacher_disagreement_score":0.03656537,"about_ca_system_score_codex":0.00021342412,"about_ca_system_score_gemma":0.00019280828,"threshold_uncertainty_score":0.9995504},"labels":[],"label_agreement":null},{"id":"W2796721545","doi":"10.1101/285064","title":"Cluster Tendency Assessment in Neuronal Spike Data","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; Toronto Rehabilitation Institute; University of Toronto","funders":"","keywords":"Cluster analysis; Computer science; Spike sorting; Visualization; Cluster (spacecraft); Initialization; Data mining; Sorting; Pattern recognition (psychology); Dimensionality reduction; Artificial intelligence; Ground truth; Spike (software development); Clustering high-dimensional data; Algorithm","score_opus":0.04243097153292118,"score_gpt":0.27587495100799936,"score_spread":0.23344397947507817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2796721545","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98969334,0.00004844121,0.0015696941,0.0011510483,0.005345074,0.0010035197,0.000756675,0.00033458712,0.00009762673],"genre_scores_gemma":[0.99495894,0.00014607483,0.0021900772,0.001663043,0.0008022927,0.000092911425,0.0000015062328,0.00012545414,0.000019708512],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9951718,0.000359883,0.00068247056,0.0023376278,0.0007359537,0.0007123063],"domain_scores_gemma":[0.99598557,0.00018492766,0.0004250229,0.0030234787,0.00015578397,0.0002252066],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008742669,0.00058677373,0.000499428,0.0003782184,0.00017631277,0.00040035762,0.0019846556,0.0004213674,0.00011612314],"category_scores_gemma":[0.00070974306,0.00059174356,0.00009999775,0.0006007538,0.00020507927,0.00045689594,0.0032507037,0.0014910469,0.00015031168],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004381742,0.0003352429,0.009176159,0.00021333786,0.000015772397,0.00014945542,0.0000028123463,0.000111971196,0.98705125,0.0012108143,0.0016831183,0.0000062713198],"study_design_scores_gemma":[0.0019497559,0.00035590865,0.68967104,0.0007726672,0.00013231242,1.8988862e-7,0.0000019445588,0.11990289,0.16410387,0.00007959109,0.02028294,0.0027468796],"about_ca_topic_score_codex":0.000050913393,"about_ca_topic_score_gemma":0.000012602059,"teacher_disagreement_score":0.8229474,"about_ca_system_score_codex":0.0002846179,"about_ca_system_score_gemma":0.00067330926,"threshold_uncertainty_score":0.9996534},"labels":[],"label_agreement":null},{"id":"W2796785929","doi":"10.3389/fncom.2018.00026","title":"Commentary: Evaluation of Phase-Amplitude Coupling in Resting State Magnetoencephalographic Signals: Effect of Surrogates and Evaluation Approach","year":2018,"lang":"en","type":"letter","venue":"Frontiers in Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institutes of Health; Volkswagen Foundation","keywords":"Resting state fMRI; Amplitude; Phase (matter); Coupling (piping); Magnetoencephalography; Physics; Nuclear magnetic resonance; Computer science; Neuroscience; Psychology; Materials science; Electroencephalography; Quantum mechanics","score_opus":0.0542321616311541,"score_gpt":0.3241460233331606,"score_spread":0.2699138617020065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2796785929","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9834932,0.00017807388,0.006299817,0.006664168,0.0013258058,0.0018534623,0.00012250588,0.000021309528,0.000041622272],"genre_scores_gemma":[0.9857774,0.00003948096,0.0017225068,0.012048937,0.0001024562,0.00010693603,0.00016954412,0.000028403894,0.0000043639743],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9939211,0.0014511045,0.0008455048,0.0010645029,0.0023293707,0.00038838806],"domain_scores_gemma":[0.997173,0.0014819697,0.00075582595,0.0002342932,0.00031117088,0.000043740394],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005053908,0.0003271831,0.00055424694,0.0010989091,0.00012863155,0.00007323632,0.0004348705,0.00015724798,0.0000043743867],"category_scores_gemma":[0.0017100374,0.0003203751,0.000075495525,0.001519027,0.0008906935,0.00036689482,0.00012208246,0.0006429947,2.2365798e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018167862,0.00022956467,0.025187755,0.00043963495,0.000005879823,0.00001412462,0.00016410762,0.93439096,0.02361163,0.000010762593,0.010646004,0.0051179086],"study_design_scores_gemma":[0.002027409,0.0006852901,0.00871535,0.00019435404,0.000053459462,0.000010216058,0.000011113476,0.98237294,0.0010680195,0.004545165,0.00008548167,0.00023121906],"about_ca_topic_score_codex":0.000057083093,"about_ca_topic_score_gemma":0.000005855508,"teacher_disagreement_score":0.047981974,"about_ca_system_score_codex":0.00015392022,"about_ca_system_score_gemma":0.0001645585,"threshold_uncertainty_score":0.99992484},"labels":[],"label_agreement":null},{"id":"W2797265140","doi":"10.1523/eneuro.0023-18.2018","title":"How Much Does Movement and Location Encoding Impact Prefrontal Cortex Activity? An Algorithmic Decoding Approach in Freely Moving Rats","year":2018,"lang":"en","type":"article","venue":"eNeuro","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Government of Canada","keywords":"Prefrontal cortex; Decoding methods; Encoding (memory); Movement (music); Neuroscience; Computer science; Psychology; Cognitive psychology; Cognition; Algorithm; Art","score_opus":0.02573474078654514,"score_gpt":0.2670087262129178,"score_spread":0.24127398542637268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2797265140","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946584,0.0000064121255,0.003985031,0.00014337945,0.00050768343,0.00030704393,0.0000090127,0.000060629107,0.00032239186],"genre_scores_gemma":[0.99895567,0.000017920258,0.00031880738,0.0002597102,0.0002528687,0.000019270132,0.0000041212134,0.000023014594,0.00014864368],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998603,0.00014221661,0.00013491233,0.00059798843,0.00021842394,0.00030345778],"domain_scores_gemma":[0.9994525,0.000097311924,0.00010126532,0.00021966879,0.000033164317,0.00009613292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017670095,0.00017788932,0.00014408208,0.00015136997,0.00020669133,0.00025878218,0.00014515249,0.000053499425,0.000006731318],"category_scores_gemma":[0.00019430864,0.00013936048,0.000027248123,0.0003079904,0.00008083156,0.00091561367,0.000093830895,0.00017489954,0.0000017617107],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003468372,0.00007760695,0.0026073556,0.000012636973,0.000001657093,0.000008627981,0.00022299487,0.000054349013,0.98094577,0.00016702767,0.000008073552,0.015859243],"study_design_scores_gemma":[0.00043792915,0.00048212308,0.1708905,0.000022757786,0.0000063822085,0.000024800915,0.00014623818,0.461945,0.36527458,0.00047540374,0.000025473046,0.00026884096],"about_ca_topic_score_codex":0.00012154845,"about_ca_topic_score_gemma":0.00012719582,"teacher_disagreement_score":0.61567116,"about_ca_system_score_codex":0.00010627207,"about_ca_system_score_gemma":0.0000307457,"threshold_uncertainty_score":0.56829554},"labels":[],"label_agreement":null},{"id":"W2797627802","doi":"10.1016/j.jtbi.2018.04.013","title":"Control of clustered action potential firing in a mathematical model of entorhinal cortex stellate cells","year":2018,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; W. Garfield Weston Foundation; Alzheimer's Society; Garfield Weston Foundation; Wellcome Trust","keywords":"Neuroscience; Bursting; Entorhinal cortex; Local field potential; Physics; Electrophysiology; Biological system; Biology; Hippocampal formation","score_opus":0.02382037186163105,"score_gpt":0.28199611132183544,"score_spread":0.2581757394602044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2797627802","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91446906,0.0000052395812,0.0845283,0.0002302375,0.0003379713,0.0000800617,0.000009949927,0.0000027679869,0.00033640998],"genre_scores_gemma":[0.9993867,0.000014747542,0.00037250613,0.0001097059,0.000094156036,3.9282617e-7,1.9371947e-7,0.0000061909745,0.000015374659],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99871284,0.00021703664,0.0006228466,0.00012677965,0.00014878187,0.00017170717],"domain_scores_gemma":[0.99899834,0.0003277219,0.00041593934,0.00009833743,0.00010119892,0.00005845974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046626598,0.00008586336,0.00033607514,0.00012926292,0.00002066413,0.000006407815,0.0001767691,0.00010817277,0.00013628964],"category_scores_gemma":[0.00037003923,0.00005997145,0.00012440156,0.00008816002,0.0007112721,0.00005879593,0.000043766107,0.00020054361,0.00000442782],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010293836,0.00011617906,0.00004996981,0.000019383127,0.0000073314122,0.000005213798,0.000035341473,0.0006017043,0.869972,0.1273539,0.0000052005303,0.000804421],"study_design_scores_gemma":[0.0009313952,0.0010989303,0.000092031805,0.000038683793,0.000025019,0.00008466543,0.00000988903,0.50284594,0.30625132,0.18856575,0.0000035034966,0.000052858173],"about_ca_topic_score_codex":7.728123e-7,"about_ca_topic_score_gemma":4.4732468e-7,"teacher_disagreement_score":0.56372064,"about_ca_system_score_codex":0.000023613633,"about_ca_system_score_gemma":0.000028277556,"threshold_uncertainty_score":0.2620712},"labels":[],"label_agreement":null},{"id":"W2799900093","doi":"10.1016/j.neulet.2018.05.014","title":"Multidimensional brain activity dictated by winner-take-all mechanisms","year":2018,"lang":"en","type":"article","venue":"Neuroscience Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Neuroscience; Psychology; Cognitive science; Cognitive psychology; Computer science","score_opus":0.026046464191540934,"score_gpt":0.2575800870120224,"score_spread":0.23153362282048146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2799900093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9470559,8.001909e-7,0.015078639,0.03462235,0.002475402,0.00026223305,0.00003614664,0.00024328846,0.00022528748],"genre_scores_gemma":[0.857231,0.0000024788294,0.00020355463,0.14178456,0.000100828795,0.000012124012,0.0000029844555,0.000027415981,0.0006350396],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9969442,0.00022573251,0.00021223075,0.0011364748,0.00077839766,0.00070298306],"domain_scores_gemma":[0.998918,0.00027894473,0.00015149137,0.00040470896,0.000033701122,0.0002131679],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025242913,0.00027380267,0.00017752271,0.00013595716,0.0005603322,0.00014287875,0.000501667,0.00006995592,0.00006528978],"category_scores_gemma":[0.00076423096,0.00024211187,0.00008508224,0.0007367708,0.0007445365,0.0006286973,0.00016899742,0.0003265457,0.00016488817],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038756363,0.00008026311,0.00004115217,0.0000022838167,5.4492307e-7,0.000033329372,0.000041390536,0.000031750697,0.97722054,0.0006856204,0.020763136,0.0010612151],"study_design_scores_gemma":[0.0004012937,0.00036356278,0.0016493392,0.000007158209,0.0000048089173,0.000056715635,0.0000037892262,0.029838393,0.945576,0.00021403914,0.021560384,0.00032452328],"about_ca_topic_score_codex":0.000032521533,"about_ca_topic_score_gemma":0.0000045242596,"teacher_disagreement_score":0.10716221,"about_ca_system_score_codex":0.000058095666,"about_ca_system_score_gemma":0.000027125754,"threshold_uncertainty_score":0.98730356},"labels":[],"label_agreement":null},{"id":"W2800001956","doi":"","title":"Adaptive optimal-control algorithms for brainlike networks.","year":2010,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Computer science; Algorithm","score_opus":0.017608366546192446,"score_gpt":0.24706619464282756,"score_spread":0.22945782809663512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800001956","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5242893,0.0013782022,0.24445803,0.002573149,0.019918066,0.008690324,0.0016151424,0.00089465507,0.19618315],"genre_scores_gemma":[0.9324388,0.00032884238,0.0034608673,0.00014195078,0.00027628648,0.000004120305,0.00025246607,0.00006260969,0.06303407],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99863577,0.00005861461,0.00012327102,0.0005902563,0.00025749093,0.0003346072],"domain_scores_gemma":[0.99874514,0.0002605453,0.00041242893,0.00030619084,0.00015776115,0.00011793444],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00012635891,0.00027546828,0.000418604,0.000055972665,0.0003347135,0.000025748099,0.00044685538,0.00044131945,0.0017872035],"category_scores_gemma":[0.00008111457,0.00033497604,0.00031652,0.00006864774,0.000093070405,0.000399118,0.000036048386,0.00033779058,0.000009576498],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009570799,0.00065418915,0.00002770785,0.00044528802,0.00036055793,0.00011208498,0.011466899,0.0057694977,0.27175412,0.013733614,0.008305831,0.6777994],"study_design_scores_gemma":[0.0066544134,0.0022471796,0.024766624,0.0002373442,0.00075390516,0.000016808006,0.014505653,0.93008846,0.00364173,0.00027849432,0.014865045,0.0019443227],"about_ca_topic_score_codex":0.008877219,"about_ca_topic_score_gemma":0.03717505,"teacher_disagreement_score":0.92431897,"about_ca_system_score_codex":0.00014245245,"about_ca_system_score_gemma":0.00008376871,"threshold_uncertainty_score":0.99991024},"labels":[],"label_agreement":null},{"id":"W2800425851","doi":"10.1503/jpn.170093","title":"A putative electrophysiological biomarker of auditory sensory memory encoding is sensitive to pharmacological alterations of excitatory/inhibitory balance in male macaque monkeys","year":2018,"lang":"en","type":"article","venue":"Journal of Psychiatry and Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Mental Health","keywords":"Neuroscience; Inhibitory postsynaptic potential; Glutamatergic; Macaque; Electrophysiology; Excitatory postsynaptic potential; Biology; Psychology; Glutamate receptor; Receptor","score_opus":0.03237610346606185,"score_gpt":0.3065216156971991,"score_spread":0.27414551223113726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800425851","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958408,0.0000132903,0.0006814218,0.0008996588,0.00211129,0.0001624725,0.000023861294,0.000006133977,0.00026105894],"genre_scores_gemma":[0.9965553,0.00009099262,0.0006002233,0.0024022248,0.00027362618,0.000002411138,1.0717167e-7,0.000006531711,0.00006854854],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981519,0.0003306699,0.0005462131,0.0003771673,0.00034292907,0.0002510955],"domain_scores_gemma":[0.99883944,0.00028796704,0.00048827994,0.00009712832,0.00015284518,0.00013435968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024882934,0.00015066784,0.0002975943,0.00026920345,0.00014796539,0.000019182291,0.0002017462,0.00006263818,0.00001731403],"category_scores_gemma":[0.0003889236,0.00011788741,0.00009477343,0.0006087081,0.000643535,0.00030728566,0.00007043885,0.00029754773,0.0000019767317],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039857018,0.00019429813,0.0009987036,0.000016764146,0.0000023674183,0.00004006275,0.00021596464,0.00014150799,0.9971221,0.0002489578,0.00038810604,0.00023256398],"study_design_scores_gemma":[0.0005811256,0.0030167443,0.038694207,0.00008543338,0.00001637246,0.00033772882,0.00017188914,0.0075857816,0.9486325,0.00063192396,0.000072749724,0.00017357849],"about_ca_topic_score_codex":0.0000028028799,"about_ca_topic_score_gemma":0.0000020505888,"teacher_disagreement_score":0.048489667,"about_ca_system_score_codex":0.000028263803,"about_ca_system_score_gemma":0.00012369161,"threshold_uncertainty_score":0.48073092},"labels":[],"label_agreement":null},{"id":"W2800614615","doi":"10.1111/nyas.13664","title":"Driving working memory with frequency‐tuned noninvasive brain stimulation","year":2018,"lang":"en","type":"review","venue":"Annals of the New York Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; International Laboratory for Brain, Music and Sound Research; Montreal Neurological Institute and Hospital","funders":"","keywords":"Neuroscience; Neurophysiology; Working memory; Cognition; Local field potential; Brain stimulation; Psychology; Brain activity and meditation; Stimulation; Computer science; Electroencephalography","score_opus":0.19761450154526622,"score_gpt":0.3706096616114968,"score_spread":0.17299516006623056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800614615","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008530951,0.9762831,0.00010000521,0.009309744,0.00094555866,0.0017589325,0.00002388704,0.00008221944,0.0029656065],"genre_scores_gemma":[0.027002197,0.9676915,0.0009427968,0.0022887322,0.000632455,0.00001684943,0.000001729356,0.000052459174,0.0013712915],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967331,0.00032240216,0.0007411029,0.0007643001,0.0010118696,0.00042719705],"domain_scores_gemma":[0.99625754,0.0015433572,0.0018259682,0.00022416502,0.000043447384,0.00010550926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012073523,0.00035947058,0.00088730134,0.0002942002,0.00041825153,0.0000806713,0.0018396085,0.0002558735,0.000022204998],"category_scores_gemma":[0.0009938984,0.00020098322,0.00039166835,0.0020804703,0.001480108,0.0003192797,0.00023428962,0.00046699677,0.000010528312],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032404783,0.000097889446,0.00015748682,0.0029622493,0.00009432524,0.0000027889357,0.00064032606,0.00073877384,0.009593165,0.0089846235,0.011515234,0.96518075],"study_design_scores_gemma":[0.0008118977,0.0020358257,0.00066101295,0.11541675,0.0008516528,0.00028279133,0.00022048362,0.0016554749,0.09559606,0.048396047,0.73138434,0.0026876503],"about_ca_topic_score_codex":0.000032885648,"about_ca_topic_score_gemma":0.0000072114044,"teacher_disagreement_score":0.96249306,"about_ca_system_score_codex":0.000020991836,"about_ca_system_score_gemma":0.0003455196,"threshold_uncertainty_score":0.8195858},"labels":[],"label_agreement":null},{"id":"W2801968480","doi":"10.1152/jn.00007.2018","title":"Cortical sources of the auditory attentional blink","year":2018,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Baycrest Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Attentional blink; Psychology; Neuroscience; Perception; P3b; Auditory scene analysis; Electroencephalography; Auditory cortex; Auditory perception; Stimulus (psychology); Event-related potential; Cognitive psychology","score_opus":0.02723263813301906,"score_gpt":0.2608128255355871,"score_spread":0.23358018740256803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801968480","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99522924,0.0000020798693,0.00005457953,0.00087991793,0.0035982302,0.000032249973,0.0000024850597,0.0000039277443,0.00019727992],"genre_scores_gemma":[0.9972511,0.000010555485,0.000019791636,0.0012778502,0.0011978856,2.6465278e-7,6.4702476e-8,0.0000065873473,0.00023591683],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990156,0.00024005496,0.00030518556,0.00011442071,0.00020754737,0.0001171893],"domain_scores_gemma":[0.999047,0.00028427402,0.00037003966,0.00012778836,0.00013283006,0.000038062608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000046458936,0.00006471881,0.00014509413,0.000054414373,0.00011483515,0.000007302264,0.00028923474,0.000036864883,0.00006498453],"category_scores_gemma":[0.00058815966,0.0000372586,0.00014975079,0.00014863208,0.0005155935,0.00006570081,0.00008257078,0.0002651722,0.000019410681],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000981007,0.000055784898,0.0001433914,0.0000033386075,0.0000035378198,0.000011274592,0.000012166343,0.00008781923,0.9979777,0.00081724836,0.00048865785,0.00030098087],"study_design_scores_gemma":[0.0008555462,0.003779525,0.77115357,0.000035021487,0.000049266277,0.0011228716,0.0000199367,0.005000455,0.19945595,0.0065094344,0.011857655,0.0001607777],"about_ca_topic_score_codex":5.224484e-7,"about_ca_topic_score_gemma":1.6215839e-7,"teacher_disagreement_score":0.79852176,"about_ca_system_score_codex":0.0000073027145,"about_ca_system_score_gemma":0.000045333465,"threshold_uncertainty_score":0.18997256},"labels":[],"label_agreement":null},{"id":"W2802836380","doi":"10.1093/cercor/bhy104","title":"Independent Early and Late Sensory Processes for Proprioceptive Integration When Planning a Step","year":2018,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Hôpital du Saint-Sacrement","funders":"Centre National d’Etudes Spatiales","keywords":"Somatosensory system; Sensory system; Stimulus (psychology); Somatosensory evoked potential; Neuroscience; Posterior parietal cortex; Sensory processing; Psychology; Proprioception; Cognitive psychology","score_opus":0.04195904403188436,"score_gpt":0.27605652792756596,"score_spread":0.2340974838956816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802836380","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930775,0.0000123707205,0.005033141,0.00022573485,0.00028368155,0.000508696,0.000023686902,0.00007750193,0.00075769343],"genre_scores_gemma":[0.9964997,0.0000031811826,0.0003925473,0.00046268423,0.0001709279,0.00003313756,0.000005768873,0.00001755016,0.0024145066],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99910986,0.000030835978,0.00014085408,0.00038633103,0.00013239348,0.00019972544],"domain_scores_gemma":[0.99954075,0.00007851703,0.0000958067,0.000097621654,0.0001283386,0.00005895379],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007627017,0.00012493272,0.00011008288,0.00006158993,0.00022160601,0.00012339427,0.00008428072,0.00006236002,0.000017723296],"category_scores_gemma":[0.00023121109,0.000099468714,0.000024261297,0.00010433141,0.00011601355,0.00030872534,0.00004580551,0.000110362016,0.000015547936],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049226807,0.00006204304,0.011028993,0.00011680465,0.000011334241,0.000008688787,0.0035912471,0.0000043672476,0.9510506,0.0030790546,0.00037234463,0.030182257],"study_design_scores_gemma":[0.0037616543,0.00675782,0.49039397,0.00043071058,0.00010533712,0.00014574877,0.0009640708,0.06685589,0.38691503,0.038124967,0.0041216644,0.0014231611],"about_ca_topic_score_codex":0.0000159136,"about_ca_topic_score_gemma":0.000042612584,"teacher_disagreement_score":0.56413555,"about_ca_system_score_codex":0.000024730985,"about_ca_system_score_gemma":0.0000388743,"threshold_uncertainty_score":0.40562165},"labels":[],"label_agreement":null},{"id":"W2802941042","doi":"10.1103/physreve.97.042415","title":"Measuring neuronal avalanches in disordered systems with absorbing states","year":2018,"lang":"en","type":"article","venue":"Physical review. E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Statistical physics; Power law; Physics; Critical point (mathematics); Mathematics; Mathematical analysis; Statistics","score_opus":0.04784973952816353,"score_gpt":0.29015668623897606,"score_spread":0.24230694671081254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802941042","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99735856,0.00050437724,0.00012139335,0.00036688542,0.00015929244,0.00031087262,0.00000428767,0.000047777412,0.0011265333],"genre_scores_gemma":[0.99823254,0.0009427441,0.000007751108,0.00054373284,0.00016397248,0.000033172404,0.0000020586924,0.000016848682,0.000057177702],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988805,0.00011346031,0.00017168143,0.0003350882,0.00026810917,0.00023118198],"domain_scores_gemma":[0.99949,0.00017309941,0.00007964216,0.00017497288,0.000029377681,0.000052872627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011947618,0.00012764485,0.0002443734,0.00003080153,0.00007099758,0.000043130072,0.00012453116,0.000009974751,0.0000063795073],"category_scores_gemma":[0.00022359319,0.000087844,0.00004392128,0.00029623968,0.000083062514,0.00014591448,0.00004099144,0.00013640182,0.000095939824],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021106511,0.0008376099,0.009539995,0.0035139988,0.000017477689,0.000060610695,0.00069748913,0.0010371121,0.93546796,0.019401683,0.0008632316,0.028351758],"study_design_scores_gemma":[0.0034688285,0.0036565466,0.077721745,0.017917499,0.00018242342,0.000120418445,0.00015327493,0.68909276,0.13623178,0.022500835,0.045949433,0.0030044576],"about_ca_topic_score_codex":0.000022870448,"about_ca_topic_score_gemma":0.00001312433,"teacher_disagreement_score":0.7992362,"about_ca_system_score_codex":0.000022074362,"about_ca_system_score_gemma":0.000013673585,"threshold_uncertainty_score":0.35821742},"labels":[],"label_agreement":null},{"id":"W2803089657","doi":"10.1038/s41598-018-21730-1","title":"Neuronal avalanche dynamics indicates different universality classes in neuronal cultures","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Universality (dynamical systems); Statistical physics; Critical exponent; Physics; Renormalization group; Neuroscience; Biology; Computer science; Biological system; Condensed matter physics; Quantum mechanics; Phase transition","score_opus":0.021230540040289663,"score_gpt":0.26212844146650566,"score_spread":0.240897901426216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803089657","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874137,0.0000045485967,0.000078186924,0.00065303687,0.008538437,0.0002202255,0.000011691383,0.00009894082,0.0029812003],"genre_scores_gemma":[0.9965099,0.000004794931,0.000021316248,0.00026158118,0.00011965338,0.0000066608704,0.000040421135,0.000015687127,0.0030199622],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99718744,0.00015965056,0.00042035367,0.0011486299,0.00065684353,0.00042709682],"domain_scores_gemma":[0.99889314,0.000109018525,0.0002716306,0.0005192615,0.000075699565,0.00013122517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042441377,0.0002011301,0.00018639855,0.00023179044,0.00041226755,0.00034346367,0.0002650199,0.00007666031,0.00014343622],"category_scores_gemma":[0.0004930491,0.00015946395,0.00008749149,0.0006968376,0.0008111807,0.00029287697,0.00018875115,0.00026452792,0.000037701644],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062498635,0.00043856376,0.09711413,0.000030046644,0.0000051775723,0.0005979379,0.0002996685,0.00009329152,0.8841798,0.005694069,0.00870797,0.0027768856],"study_design_scores_gemma":[0.0005479041,0.00035525672,0.4886582,0.000061025577,0.000026743224,0.0005348496,0.00015822845,0.030537821,0.40534127,0.042530593,0.030421559,0.0008265543],"about_ca_topic_score_codex":0.000030189958,"about_ca_topic_score_gemma":0.00036556026,"teacher_disagreement_score":0.47883847,"about_ca_system_score_codex":0.0001224214,"about_ca_system_score_gemma":0.00008621093,"threshold_uncertainty_score":0.6502751},"labels":[],"label_agreement":null},{"id":"W2803257473","doi":"10.1016/j.pbiomolbio.2018.05.010","title":"Syntax meets semantics during brain logical computations","year":2018,"lang":"en","type":"review","venue":"Progress in Biophysics and Molecular Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Syntax; Computer science; Semantics (computer science); Semantic memory; Comprehension; Cognitive science; Cognition; Artificial intelligence; Natural language processing; Programming language; Psychology","score_opus":0.040759467503601765,"score_gpt":0.35222625567984395,"score_spread":0.3114667881762422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803257473","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01162068,0.9858821,0.00052511913,0.00042691137,0.0005177436,0.0007969815,0.00008555682,0.00006654062,0.000078384226],"genre_scores_gemma":[0.020716479,0.9782467,0.0004000909,0.0002470512,0.00013942417,0.00009870169,0.00008717641,0.0000443476,0.000020068499],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99808,0.00032044112,0.00037391493,0.0007745007,0.00009441479,0.00035668685],"domain_scores_gemma":[0.99925846,0.00017678346,0.00022735719,0.00024057853,0.000026688373,0.000070144815],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00010215962,0.00033766334,0.00073579577,0.00016268672,0.00012468208,0.000064651096,0.00024682248,0.00030453905,0.000002525231],"category_scores_gemma":[0.000090097135,0.0002638892,0.00017340007,0.00037365293,0.0005172484,0.000031331878,0.00030435296,0.00029258378,0.000015186132],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015986767,0.0002824648,0.000047645324,0.005161071,0.000055688444,0.00035896356,0.000030515439,0.0000016783433,0.010192699,0.0970346,0.000024493627,0.8867942],"study_design_scores_gemma":[0.0011736552,0.0011828121,0.000077467674,0.0071958923,0.0004208062,0.0007223398,0.000007580413,0.0022591457,0.0045594806,0.034392335,0.9454228,0.002585667],"about_ca_topic_score_codex":0.0000017567141,"about_ca_topic_score_gemma":0.0000010579126,"teacher_disagreement_score":0.94539833,"about_ca_system_score_codex":0.000029452656,"about_ca_system_score_gemma":0.000035204674,"threshold_uncertainty_score":0.99998134},"labels":[],"label_agreement":null},{"id":"W2803548487","doi":"10.1016/j.neurobiolaging.2018.05.015","title":"The relation between Scrabble expertise and brain aging as measured with EEG brain signal variability","year":2018,"lang":"en","type":"article","venue":"Neurobiology of Aging","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Foothills Medical Centre; York University; Hotchkiss Brain Institute; University of Calgary","funders":"","keywords":"Electroencephalography; Psychology; Brain activity and meditation; Context (archaeology); Neuroscience; Brain function; Cognitive psychology; Human brain; Developmental psychology; Task (project management); Biology","score_opus":0.022350926567082017,"score_gpt":0.2548232257156249,"score_spread":0.23247229914854287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803548487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98925495,0.000010578879,0.0012662228,0.008127885,0.00022741962,0.00021111213,0.000004611984,0.00006054593,0.0008366894],"genre_scores_gemma":[0.9979744,0.0000055646155,0.000069874135,0.0016471861,0.00010234633,0.000006103937,0.0000026825128,0.000015388046,0.00017646104],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99823654,0.0006225542,0.00024423323,0.0004836102,0.00013356518,0.00027948554],"domain_scores_gemma":[0.99746376,0.0020003065,0.00016469248,0.00025329608,0.00006311777,0.000054819877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081165734,0.00014272364,0.00017485912,0.00005982816,0.0005224323,0.00004254989,0.00017466744,0.00006969145,0.000012509844],"category_scores_gemma":[0.0007546687,0.00009665261,0.000032542062,0.00021169709,0.00072826253,0.00016071003,0.00009129325,0.00022134467,0.0000059935173],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007089254,0.000014952263,0.025371,0.000009692387,0.0000068102186,0.000002509809,0.00030460267,0.000025074576,0.96748906,0.0012606889,0.00013524675,0.0053094914],"study_design_scores_gemma":[0.0014852753,0.0020520566,0.4514588,0.0001081349,0.000046360565,0.000108239736,0.00008753313,0.0055583646,0.52641386,0.009203841,0.0029746576,0.0005028799],"about_ca_topic_score_codex":0.000035565216,"about_ca_topic_score_gemma":0.000018381194,"teacher_disagreement_score":0.44107518,"about_ca_system_score_codex":0.000021497284,"about_ca_system_score_gemma":0.000034233213,"threshold_uncertainty_score":0.40181798},"labels":[],"label_agreement":null},{"id":"W2803718659","doi":"10.1016/j.pneurobio.2019.01.008","title":"The roles of supervised machine learning in systems neuroscience","year":2019,"lang":"en","type":"review","venue":"Progress in Neurobiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":155,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"National Institute of Neurological Disorders and Stroke; National Eye Institute","keywords":"Systems neuroscience; Toolbox; Neuroscience; Computational neuroscience; Computer science; Cognitive science; Artificial intelligence; Machine learning; Psychology; Central nervous system","score_opus":0.06991791918017289,"score_gpt":0.3274390572498681,"score_spread":0.25752113806969523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803718659","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025914165,0.9936936,0.0000017461118,0.00007070576,0.0022124408,0.0012661713,0.000027831838,0.000043557444,0.000092545844],"genre_scores_gemma":[0.017426385,0.9820729,0.0000017979913,0.00005441086,0.000033286884,0.00016365356,0.000012003188,0.000041223673,0.00019433466],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99566066,0.0018935443,0.00088396075,0.00085442164,0.0001707795,0.0005366354],"domain_scores_gemma":[0.9973557,0.0015543305,0.0005831934,0.0004491555,0.000021740709,0.000035871697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059435016,0.00035300042,0.0011593569,0.00034079445,0.00010311188,0.00007007678,0.001044663,0.00022638285,0.0000018871226],"category_scores_gemma":[0.0007273869,0.00021768421,0.00017634872,0.00090110913,0.00048018302,0.0000767833,0.00036705864,0.0010583884,0.000013738359],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036246696,0.00011739493,0.002780073,0.005177247,0.0000028908291,0.000068008536,0.00003057771,0.0003580138,0.0005496331,0.002326651,0.0000074331997,0.98854584],"study_design_scores_gemma":[0.0003840797,0.00055201544,0.00017223827,0.00305853,0.00003677165,0.0002174751,0.000007744979,0.020389626,0.000039547693,0.00003532252,0.9746714,0.0004352164],"about_ca_topic_score_codex":0.000009397478,"about_ca_topic_score_gemma":0.000035788064,"teacher_disagreement_score":0.9881106,"about_ca_system_score_codex":0.000041695417,"about_ca_system_score_gemma":0.00010399255,"threshold_uncertainty_score":0.8876905},"labels":[],"label_agreement":null},{"id":"W2803784174","doi":"10.1111/nyas.13738","title":"Amplitude envelope correlations measure synchronous cortical oscillations in performing musicians","year":2018,"lang":"en","type":"article","venue":"Annals of the New York Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Erasmus+; Fonds Québécois de la Recherche sur la Nature et les Technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; European Commission","keywords":"Envelope (radar); Amplitude; Electroencephalography; Dynamics (music); White noise; Joint (building); Measure (data warehouse); Acoustics; Bioacoustics; Noise (video); Computer science; Physics; Speech recognition; Neuroscience; Psychology; Artificial intelligence; Telecommunications","score_opus":0.12129703277278969,"score_gpt":0.33241173857586775,"score_spread":0.21111470580307806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803784174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9815147,0.00006151269,0.00028232168,0.013727981,0.0003127312,0.00020763418,0.0000067102337,0.000017390395,0.0038690148],"genre_scores_gemma":[0.9975351,0.000030694744,0.00024013479,0.0018093694,0.00011495381,0.0000021171013,1.2048754e-7,0.000004966633,0.00026254554],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99838793,0.000108349006,0.0003797366,0.00030568495,0.0005369047,0.0002813803],"domain_scores_gemma":[0.9991594,0.00040041373,0.00023524518,0.000099230725,0.000039832874,0.00006590147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067940855,0.000101622325,0.00016172444,0.00015001667,0.0005182348,0.000029939827,0.00062733085,0.00008158536,0.000039384468],"category_scores_gemma":[0.0010396813,0.00006971471,0.00008170104,0.0013171172,0.001339651,0.0002584887,0.00011433267,0.00024465236,0.00001328332],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000079652826,0.00023299037,0.0504465,0.000031595337,0.00001329691,5.300254e-7,0.003772307,0.0061101974,0.7964681,0.10493191,0.0074072746,0.030505631],"study_design_scores_gemma":[0.00046639369,0.000578698,0.5588323,0.0004377948,0.000030336725,0.000031251093,0.00053775555,0.047529142,0.33931014,0.044622917,0.0071670585,0.00045626517],"about_ca_topic_score_codex":0.00009604259,"about_ca_topic_score_gemma":0.000041864176,"teacher_disagreement_score":0.5083858,"about_ca_system_score_codex":0.0000127157955,"about_ca_system_score_gemma":0.00012432292,"threshold_uncertainty_score":0.49359995},"labels":[],"label_agreement":null},{"id":"W2804448506","doi":"10.1016/j.jneumeth.2018.05.005","title":"A novel approach to probabilistic characterisation of neural firing patterns","year":2018,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Science and Engineering Research Board; Université de Lyon; Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja; Agence Nationale de la Recherche; Providence Health Care","keywords":"Bursting; Computer science; Pattern recognition (psychology); Probabilistic logic; Feature (linguistics); Set (abstract data type); Cluster analysis; Artificial intelligence; Interval (graph theory); Mathematics; Neuroscience","score_opus":0.13881297575970158,"score_gpt":0.38117913779017704,"score_spread":0.24236616203047545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804448506","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66755,0.0000014828678,0.3303581,0.00024995752,0.0015173763,0.00014303338,0.000005391113,0.000010024776,0.00016460352],"genre_scores_gemma":[0.95985883,0.000003852193,0.038574256,0.0012381485,0.00024849043,0.0000034097052,1.2440903e-7,0.000013809362,0.000059054244],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979226,0.00033670678,0.0006010888,0.00035303042,0.0005157805,0.00027076938],"domain_scores_gemma":[0.9984592,0.00030543326,0.00063144666,0.00023499048,0.00020873387,0.0001601727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013710834,0.0001416972,0.00027379938,0.00029750433,0.00013993077,0.0000859967,0.00055076345,0.000038016147,0.000004376346],"category_scores_gemma":[0.0042608245,0.000108957705,0.00011328044,0.0008165295,0.00021006826,0.0004862604,0.0001225244,0.00022776546,0.0000013311424],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005157732,0.00014428179,0.00031040373,0.000020344976,5.3397156e-7,0.0000027943472,0.00019937802,0.00046900706,0.98013496,0.00024507617,0.00000690886,0.018414712],"study_design_scores_gemma":[0.0004743054,0.0022803128,0.12305822,0.00006953615,0.000024351386,0.001113661,0.000047460566,0.20522228,0.66608346,0.00058230106,0.0007743467,0.0002697787],"about_ca_topic_score_codex":0.0000032897137,"about_ca_topic_score_gemma":4.032995e-7,"teacher_disagreement_score":0.31405154,"about_ca_system_score_codex":0.000038615937,"about_ca_system_score_gemma":0.000052022348,"threshold_uncertainty_score":0.5100913},"labels":[],"label_agreement":null},{"id":"W2804849424","doi":"10.1162/neco_a_01083","title":"Optimal Readout of Correlated Neural Activity in a Decision-Making Circuit","year":2018,"lang":"en","type":"article","venue":"Neural Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ottawa","keywords":"Categorization; Task (project management); Redundancy (engineering); Computer science; Motion (physics); Artificial intelligence; Noise (video); Psychology; Pattern recognition (psychology); Cognitive psychology; Machine learning","score_opus":0.0375273388561351,"score_gpt":0.30251106487250534,"score_spread":0.2649837260163702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804849424","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9833684,0.0000033347687,0.014850122,0.00008341052,0.0009235523,0.00023261321,0.000005966578,0.000072432915,0.00046018718],"genre_scores_gemma":[0.9993972,0.0000013345339,0.00026490795,0.00022450632,0.00007006902,0.0000037447815,0.0000027877297,0.000016448108,0.000019008707],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99859667,0.0001544527,0.00030542992,0.0004046677,0.00030720464,0.0002315605],"domain_scores_gemma":[0.99891216,0.00061397115,0.00020759965,0.00014134527,0.00008434521,0.000040569696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013784227,0.00014046994,0.00018622348,0.00021311795,0.00010886182,0.000046890807,0.00014969429,0.00007458353,0.000024291265],"category_scores_gemma":[0.0004697138,0.00013407445,0.000061302606,0.00067442295,0.00011900131,0.00035843634,0.000070668524,0.00022258051,0.000021901531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006529265,0.00016158275,0.0030936769,0.000020203419,0.0000027949816,0.000048959573,0.00039061383,0.10098785,0.6056224,0.00037054345,0.00007478883,0.28857365],"study_design_scores_gemma":[0.00043132796,0.00037317874,0.05064282,0.00004561162,0.0000047883714,0.000040370807,0.000010240361,0.934437,0.012634604,0.0012462782,0.000007522929,0.00012626391],"about_ca_topic_score_codex":0.000029403232,"about_ca_topic_score_gemma":0.00002248388,"teacher_disagreement_score":0.8334491,"about_ca_system_score_codex":0.000054727185,"about_ca_system_score_gemma":0.000020334914,"threshold_uncertainty_score":0.5467397},"labels":[],"label_agreement":null},{"id":"W2805454121","doi":"10.12688/f1000research.5977.3","title":"Looking for effects of qualia on event-related brain potentials of close others in search for a cause of the similarity of qualia assumed across individuals","year":2018,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Qualia; N400; Psychology; Stimulus (psychology); Consciousness; Perception; Subliminal stimuli; Cognitive psychology; Event-related potential; Cognition; Neuroscience","score_opus":0.07951460213729948,"score_gpt":0.420798419058051,"score_spread":0.3412838169207515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805454121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897357,0.000035782297,0.0005493964,0.00065074186,0.0007223134,0.005879746,0.0023759902,0.00001528064,0.00003503753],"genre_scores_gemma":[0.9987373,0.00003213563,0.00010235498,0.000072713476,0.00004784504,0.00025932374,0.00004126123,0.00007125678,0.00063583016],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9933682,0.0021558574,0.0013118013,0.0008310731,0.001614131,0.00071890233],"domain_scores_gemma":[0.99004143,0.0072024968,0.0009912847,0.0010874072,0.0005850451,0.000092347946],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.007401699,0.00031499335,0.00092484953,0.00047894524,0.00013670517,0.000040701296,0.0014154506,0.00052210497,0.000026034326],"category_scores_gemma":[0.009766373,0.00024881482,0.0005121682,0.00078250235,0.0008757946,0.00008232349,0.0012121861,0.00082411035,0.0000014632277],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012045306,0.0008222269,0.007232791,0.006460466,0.00015186526,0.0000031763211,0.0027068965,0.0012456294,0.9753503,0.0029434322,0.0007557241,0.0011229678],"study_design_scores_gemma":[0.0023326736,0.001159782,0.020970998,0.0014489511,0.0000413871,9.1635235e-7,0.00013418181,0.0070293774,0.95843214,0.008187616,0.00004889493,0.00021306123],"about_ca_topic_score_codex":0.0007251906,"about_ca_topic_score_gemma":0.00015985896,"teacher_disagreement_score":0.016918134,"about_ca_system_score_codex":0.00012285344,"about_ca_system_score_gemma":0.00042280424,"threshold_uncertainty_score":0.9999964},"labels":[],"label_agreement":null},{"id":"W2805663758","doi":"10.1073/pnas.1803650115","title":"Human midcingulate cortex encodes distributed representations of task progress","year":2018,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Government of Canada; Universiteit Gent; University of Victoria","keywords":"Computer science; Task (project management); Functional magnetic resonance imaging; Cognition; Function (biology); Action (physics); Neuroscience; Artificial intelligence; Cognitive science; Psychology; Biology; Physics; Evolutionary biology","score_opus":0.05324432754470984,"score_gpt":0.34432996202133226,"score_spread":0.2910856344766224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805663758","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99517137,0.000008521709,0.0000029355556,0.0014585718,0.000039133225,0.00017677622,0.000059752652,0.000014250675,0.0030687063],"genre_scores_gemma":[0.99939543,0.0000037845884,0.00026094812,0.00011960918,0.0000633851,0.000006331276,2.8972724e-7,0.0000031511056,0.00014704611],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998293,0.000010102914,0.0003440165,0.00027649524,0.000944082,0.00013229864],"domain_scores_gemma":[0.9989157,0.000099009165,0.0006023438,0.000011847748,0.0003446289,0.000026512234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054101367,0.00007500894,0.00012133507,0.00012974135,0.00035030468,0.000025553403,0.0006568479,0.000045661465,0.000014070982],"category_scores_gemma":[0.0008369533,0.000050323244,0.00006415117,0.0010659624,0.0025545454,0.00037624873,0.00014042565,0.000092888426,9.2885296e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000073237734,0.000043518226,0.0051466147,0.00002286974,0.0000027497015,3.9502224e-9,0.00007744987,0.00002019146,0.9226088,0.07168218,0.00027585024,0.000112481284],"study_design_scores_gemma":[0.00010406175,0.00009390772,0.15280324,0.000050497012,0.0000073940273,0.0000052662153,0.0000497137,0.003189246,0.7887754,0.054809097,0.000058320886,0.00005387964],"about_ca_topic_score_codex":0.0000065153026,"about_ca_topic_score_gemma":1.3533241e-7,"teacher_disagreement_score":0.14765663,"about_ca_system_score_codex":0.000016271226,"about_ca_system_score_gemma":0.000018598472,"threshold_uncertainty_score":0.94123286},"labels":[],"label_agreement":null},{"id":"W2806087433","doi":"10.1101/340695","title":"Contextual Influences on Value-based Choice","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"Context (archaeology); Task (project management); Computer science; Cognitive psychology; Process (computing); Negativity effect; Electroencephalography; Psychology; Neuroscience","score_opus":0.02884043593861824,"score_gpt":0.2499482470096409,"score_spread":0.22110781107102268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806087433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99357146,0.000050735754,0.00040604433,0.0005491113,0.0037262049,0.00072177884,0.0002651557,0.00062813045,0.0000813595],"genre_scores_gemma":[0.9934428,0.000028984989,0.0003360273,0.0049858633,0.0009349188,0.00013689132,2.0882223e-7,0.00011811688,0.000016222328],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99606186,0.00031848138,0.0005279659,0.0016745558,0.00075489917,0.0006622168],"domain_scores_gemma":[0.99699855,0.0005342001,0.0005151881,0.001374734,0.00028723065,0.00029008166],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004513291,0.00065996905,0.00050996745,0.00033253105,0.00035779196,0.00042883382,0.0009433903,0.00050644286,0.00008447965],"category_scores_gemma":[0.0019261577,0.00063377805,0.00020925197,0.00055685244,0.00039014113,0.0001864814,0.0003579938,0.0009648636,0.00044776464],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007758728,0.00017722016,0.0022345406,0.00012919697,0.000018889421,0.00004463079,0.0000022465563,0.00060199545,0.99337935,0.0026979425,0.0006334054,0.0000029801904],"study_design_scores_gemma":[0.00073404366,0.00038590553,0.05760999,0.000472347,0.000058742888,1.2872921e-8,4.890403e-7,0.009242941,0.9183392,0.000015075285,0.012082053,0.0010592003],"about_ca_topic_score_codex":0.00006331609,"about_ca_topic_score_gemma":0.0000025331713,"teacher_disagreement_score":0.07504016,"about_ca_system_score_codex":0.00023883286,"about_ca_system_score_gemma":0.00047589192,"threshold_uncertainty_score":0.9996114},"labels":[],"label_agreement":null},{"id":"W2806330845","doi":"10.1101/333930","title":"The hotspots in primate cortical brain evolution support supramodal cognitive flexibility","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Australian Research Council; Norges Forskningsråd; Universitetet i Oslo","keywords":"Neocortex; Cognition; Cognitive flexibility; Flexibility (engineering); Neuroscience; Context (archaeology); Set (abstract data type); Biology; Primate; Evolutionary biology; Computer science; Paleontology","score_opus":0.025028374572092574,"score_gpt":0.26669791802072146,"score_spread":0.2416695434486289,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806330845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99355763,0.000042568063,0.0010679904,0.0009050551,0.0024593042,0.0012927767,0.0003162773,0.000318097,0.00004027716],"genre_scores_gemma":[0.9984467,0.000049384147,0.00009855596,0.0007196272,0.0003711473,0.00020607238,5.0105626e-7,0.00008859746,0.00001938378],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9952123,0.00076103286,0.0007701117,0.00166003,0.0006771198,0.00091938674],"domain_scores_gemma":[0.99682105,0.0010008832,0.00042879675,0.0011054876,0.00039013906,0.00025367105],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018512576,0.00055550615,0.00047956748,0.0002180579,0.00053587276,0.0004010043,0.0006906132,0.0005167173,0.00005311314],"category_scores_gemma":[0.0050244466,0.0004746274,0.00017836208,0.0007308801,0.00077606615,0.0002576922,0.00077078625,0.0014461298,0.0001936767],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005456684,0.0003629113,0.013228665,0.00016654971,0.00002681521,0.00015705136,0.000015388845,0.00002852109,0.97933716,0.00568834,0.0004332,0.000009760867],"study_design_scores_gemma":[0.00095781,0.00036303033,0.7138961,0.00028716016,0.000062034254,2.0353e-7,0.0000057917896,0.01182904,0.27059308,0.00017740746,0.0008098388,0.0010185504],"about_ca_topic_score_codex":0.000053648833,"about_ca_topic_score_gemma":0.000024364266,"teacher_disagreement_score":0.70874405,"about_ca_system_score_codex":0.00062291685,"about_ca_system_score_gemma":0.0007804289,"threshold_uncertainty_score":0.9997705},"labels":[],"label_agreement":null},{"id":"W2806934842","doi":"10.1101/342501","title":"Low-Cost Solution for Rodent Home-Cage Behaviour Monitoring","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; Alzheimer Society","keywords":"Flexibility (engineering); Cage; Computer science; Rodent; Real-time computing; Circadian rhythm; Throughput; Simulation; Neuroscience; Psychology; Engineering; Biology; Telecommunications","score_opus":0.03237187814713501,"score_gpt":0.2516325898819576,"score_spread":0.21926071173482256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806934842","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9735806,0.000076951,0.012246631,0.00019354347,0.010874775,0.0018830776,0.0005588776,0.0005795691,0.0000059806703],"genre_scores_gemma":[0.9949525,0.00017238426,0.0016805062,0.0001691718,0.0020723105,0.0007373671,7.0575544e-7,0.00018625976,0.0000287883],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99614495,0.00013577341,0.00059872726,0.0016858703,0.00056727714,0.0008674206],"domain_scores_gemma":[0.99736255,0.00014211344,0.0005389447,0.0012436006,0.00041341144,0.00029938898],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00056306506,0.0006412652,0.0005093312,0.00031353257,0.00051621825,0.00048063014,0.0007695475,0.0005638463,0.000024134315],"category_scores_gemma":[0.00052154996,0.00069650874,0.00028806998,0.0004152736,0.00016053775,0.00030150882,0.00062688376,0.0007338315,0.00011494628],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060433165,0.00017785195,0.0053819935,0.00023610158,0.000016082344,0.000022341892,0.0000045376023,0.000058576825,0.9934317,0.00021599724,0.0003826835,0.000011723566],"study_design_scores_gemma":[0.0005622513,0.000110340654,0.061004885,0.0003750246,0.000093515875,3.4082206e-8,9.039865e-7,0.0049309777,0.93072426,0.000009174057,0.0013147602,0.00087384204],"about_ca_topic_score_codex":0.000032524367,"about_ca_topic_score_gemma":0.0000019189997,"teacher_disagreement_score":0.06270739,"about_ca_system_score_codex":0.0005204642,"about_ca_system_score_gemma":0.00025864947,"threshold_uncertainty_score":0.9995486},"labels":[],"label_agreement":null},{"id":"W2807196962","doi":"10.1038/s41598-018-20824-0","title":"Evoked and oscillatory EEG activity differentiates language discrimination in young monolingual and bilingual infants","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Ministerio de Economía y Competitividad","keywords":"Neuroscience of multilingualism; Electroencephalography; Active listening; Psychology; First language; Speech perception; Age of Acquisition; Computer science; Linguistics; Cognition; Perception; Communication; Neuroscience","score_opus":0.016929888551441875,"score_gpt":0.2716571507025805,"score_spread":0.2547272621511386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807196962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99571055,0.00003063755,0.000018228171,0.000039219416,0.0034620557,0.00019515023,0.0000032112514,0.00004753657,0.0004934188],"genre_scores_gemma":[0.9990466,0.000006717756,0.00001600953,0.000019082378,0.0000532245,0.0000040093637,0.0000041450585,0.000009821299,0.0008403569],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985261,0.00006948651,0.00022194443,0.0006735574,0.00027583886,0.00023308667],"domain_scores_gemma":[0.9993806,0.000063941596,0.00015159126,0.00028688213,0.000041966414,0.00007503941],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005458846,0.000121191864,0.00012925461,0.00022185661,0.00029735055,0.00029162999,0.000054660344,0.00005341543,0.000013972097],"category_scores_gemma":[0.0006615145,0.00010207008,0.000021523543,0.00030537866,0.00045239215,0.00032663022,0.00012371401,0.00010488298,0.000002624898],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017461058,0.000042002754,0.035143387,0.000015007314,0.0000010471355,0.00007009618,0.002923666,0.0000010424992,0.95559365,0.00006459795,0.000023798331,0.0061042462],"study_design_scores_gemma":[0.00028762437,0.000091484384,0.46049935,0.00004872452,0.0000111116,0.0003198256,0.0003832502,0.009242469,0.524231,0.004525104,0.00008744826,0.00027258773],"about_ca_topic_score_codex":0.00016066631,"about_ca_topic_score_gemma":0.0011121486,"teacher_disagreement_score":0.43136263,"about_ca_system_score_codex":0.00002921346,"about_ca_system_score_gemma":0.000043079177,"threshold_uncertainty_score":0.4162297},"labels":[],"label_agreement":null},{"id":"W2807707185","doi":"10.1101/334797","title":"Disinhibition as a canonical neural mechanism for flexible behavior","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kingston Health Sciences Centre","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Disinhibition; Context (archaeology); Mechanism (biology); Neuroscience; Flexibility (engineering); Interneuron; Psychology; Inhibitory postsynaptic potential; Biology; Physics","score_opus":0.031149228659531993,"score_gpt":0.260888657665416,"score_spread":0.22973942900588404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807707185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98700583,0.000025806035,0.003954135,0.0006163576,0.0047689066,0.0020744768,0.00071550265,0.00081738405,0.000021595371],"genre_scores_gemma":[0.9947711,0.00003920901,0.0012668751,0.0015310486,0.0010210973,0.0011344006,0.0000011499611,0.00017982077,0.000055296296],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99628603,0.00014872561,0.00057235826,0.0016916959,0.0005333571,0.0007678535],"domain_scores_gemma":[0.99754727,0.00015468465,0.00043571866,0.0010914237,0.00044229772,0.00032859604],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034456517,0.00061243493,0.00050725305,0.0002484486,0.00042959905,0.00044047213,0.0006059656,0.00059642806,0.000075564945],"category_scores_gemma":[0.0008081973,0.0006311343,0.0003167482,0.00038817807,0.0001972687,0.00025276822,0.000531266,0.00068509014,0.0001338646],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008348252,0.0001863272,0.00008275569,0.00012415946,0.000010401096,0.000044838416,0.0000022324716,0.000012407624,0.9774454,0.021614568,0.0003902013,0.0000032023402],"study_design_scores_gemma":[0.0006355563,0.0003716778,0.002350124,0.00014794224,0.00014463908,1.7284455e-7,7.0911335e-7,0.0060679074,0.9880077,0.00022263324,0.001217274,0.00083363533],"about_ca_topic_score_codex":0.00005538751,"about_ca_topic_score_gemma":0.000004609416,"teacher_disagreement_score":0.021391934,"about_ca_system_score_codex":0.0003007978,"about_ca_system_score_gemma":0.00046154487,"threshold_uncertainty_score":0.999614},"labels":[],"label_agreement":null},{"id":"W2807732156","doi":"10.1017/jfm.2018.369","title":"An information-theoretic approach to study fluid–structure interactions","year":2018,"lang":"en","type":"article","venue":"Journal of Fluid Mechanics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Division of Civil, Mechanical and Manufacturing Innovation; Division of Chemical, Bioengineering, Environmental, and Transport Systems; National Science Foundation","keywords":"Transfer entropy; Airfoil; Information transfer; Causality (physics); Computer science; Information flow; Statistical physics; Entropy (arrow of time); Fluid–structure interaction; Fluid dynamics; Mechanics; Physics; Classical mechanics; Artificial intelligence; Thermodynamics; Principle of maximum entropy","score_opus":0.018437812323197057,"score_gpt":0.2712536333849058,"score_spread":0.25281582106170875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807732156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9076024,0.000002107539,0.089166135,0.00020959575,0.00216286,0.00027170943,0.000013444756,0.000024684648,0.00054701016],"genre_scores_gemma":[0.9964356,0.0000048157344,0.0016761221,0.0014604442,0.00037857148,0.0000025866182,0.0000015543299,0.000012243891,0.000028057102],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986948,0.00012480607,0.00045838032,0.00014159743,0.00040753526,0.00017292489],"domain_scores_gemma":[0.99896663,0.000053432217,0.00024054771,0.00025794536,0.0003075032,0.00017392338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032482424,0.0001279631,0.00016647455,0.00026918374,0.0002113266,0.00015377268,0.00037240185,0.000042739102,0.00009298421],"category_scores_gemma":[0.00042410175,0.00009819001,0.000067129484,0.00040941915,0.000019196485,0.0010443939,0.0000524174,0.0002520948,0.000037236787],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019410103,0.00037505527,0.000012238674,0.000007593055,0.000014207524,0.0000063362204,0.0021491828,0.000724974,0.9616839,0.02836958,0.00090987515,0.005552914],"study_design_scores_gemma":[0.0020636707,0.010968439,0.00045140824,0.00005157972,0.00015960263,0.002139174,0.0038075503,0.45658696,0.48471248,0.027755877,0.010669947,0.0006333017],"about_ca_topic_score_codex":0.0000016943193,"about_ca_topic_score_gemma":0.000002227768,"teacher_disagreement_score":0.47697145,"about_ca_system_score_codex":0.000060776838,"about_ca_system_score_gemma":0.00004489395,"threshold_uncertainty_score":0.40040722},"labels":[],"label_agreement":null},{"id":"W2807903185","doi":"10.2390/biecoll-robotdoc2012-06","title":"A synchrony based approach for human robot interaction","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"NeuroDevNet","funders":"","keywords":"Focus (optics); Robot; Computer science; Human–robot interaction; Mechanism (biology); Social robot; Human–computer interaction; Point (geometry); Artificial intelligence; Social relation; Dynamics (music); Mobile robot; Robot control; Psychology; Mathematics; Social psychology","score_opus":0.0818841467637454,"score_gpt":0.31548929476209975,"score_spread":0.23360514799835436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807903185","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03696309,0.000004146475,0.9290465,0.0004503566,0.0028375874,0.0021316875,0.00006130724,0.00027467363,0.028230624],"genre_scores_gemma":[0.98739547,0.000002087447,0.003473621,0.0012116039,0.00020808741,0.00025051116,0.00021648718,0.000041494866,0.00720065],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983945,0.000069811875,0.00024981058,0.00085957046,0.00019724012,0.00022905768],"domain_scores_gemma":[0.99903446,0.00018271043,0.00019598506,0.00049219857,0.000045981138,0.000048639715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014310206,0.00024142627,0.00024708873,0.00014316507,0.00012792296,0.00017560233,0.00029664187,0.000207839,0.00011507237],"category_scores_gemma":[0.00012018923,0.00020820528,0.00022624161,0.000072205396,0.00003155118,0.00009323351,0.00022425278,0.0004328767,0.00003392272],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013805056,0.00039486616,0.00006392005,0.0009298689,0.0000146330785,0.0000021098692,0.000028081271,0.26927805,0.71044016,0.01073558,0.0044038785,0.0035708153],"study_design_scores_gemma":[0.00038553204,0.00015190343,0.00006696797,0.00004097848,0.00002242785,0.000003842526,0.0000092621285,0.9529821,0.04258993,0.0014178453,0.0020215178,0.00030766692],"about_ca_topic_score_codex":0.000049817976,"about_ca_topic_score_gemma":0.000006486488,"teacher_disagreement_score":0.95043236,"about_ca_system_score_codex":0.0001237609,"about_ca_system_score_gemma":0.000054886794,"threshold_uncertainty_score":0.8490365},"labels":[],"label_agreement":null},{"id":"W2808118549","doi":"10.1162/neco_a_01093","title":"A Dynamic Neural Gradient Model of Two-Item and Intermediate Transposition","year":2018,"lang":"en","type":"article","venue":"Neural Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Transposition (logic); Stimulus (psychology); Cognition; Psychology; Cognitive psychology; Cognitive science; Computer science; Artificial intelligence; Neuroscience","score_opus":0.0253774963336993,"score_gpt":0.27237240219576186,"score_spread":0.24699490586206257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808118549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9810346,0.0000070601404,0.01782673,0.00031417832,0.00043827924,0.00020075134,0.000023056255,0.00006971313,0.000085680906],"genre_scores_gemma":[0.999062,0.000007078176,0.00031114937,0.0005182987,0.000036273475,0.000005647702,0.00001640316,0.000014425005,0.000028740795],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99900573,0.00008041149,0.0002416766,0.0003199846,0.00018542948,0.00016673454],"domain_scores_gemma":[0.9995694,0.00010589015,0.00012231682,0.00008408659,0.000060576054,0.00005772135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006019711,0.00012630576,0.00013138878,0.0001180181,0.00011772705,0.000035647437,0.000079180485,0.00003345886,0.0000031997477],"category_scores_gemma":[0.000034412496,0.00011558154,0.000048467307,0.0001835815,0.00017471939,0.00026680256,0.00002813565,0.00010381463,0.0000038296835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013176397,0.00004407729,0.00023402572,0.00003122251,0.0000021762344,0.0000036809204,0.00044648306,0.03420007,0.9333873,0.00095915026,0.00001013468,0.030549921],"study_design_scores_gemma":[0.00050639187,0.00044850245,0.0061179423,0.000013992442,0.000012290651,0.000025629886,0.000008589025,0.969342,0.019158743,0.004261247,0.0000010496792,0.00010361405],"about_ca_topic_score_codex":0.000009721107,"about_ca_topic_score_gemma":0.000021943271,"teacher_disagreement_score":0.9351419,"about_ca_system_score_codex":0.00002544207,"about_ca_system_score_gemma":0.000007662428,"threshold_uncertainty_score":0.47132784},"labels":[],"label_agreement":null},{"id":"W2808777043","doi":"10.3389/fnins.2018.00468","title":"Group-Level Multivariate Analysis in EasyEEG Toolbox: Examining the Temporal Dynamics Using Topographic Responses","year":2018,"lang":"en","type":"article","venue":"Frontiers in Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"NYU-ECNU Institute of Brain and Cognitive Science, New York University Shanghai; East China Normal University; Science and Technology Commission of Shanghai Municipality; National Natural Science Foundation of China; York University; New York University Shanghai","keywords":"Toolbox; Computer science; Multivariate statistics; Electroencephalography; Workflow; Modular design; Artificial intelligence; Pipeline (software); Cognition; Data mining; Machine learning; Pattern recognition (psychology); Psychology","score_opus":0.07924189094696427,"score_gpt":0.2959697149147305,"score_spread":0.21672782396776624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808777043","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88864684,0.000012730571,0.107964344,0.00024018183,0.0026224498,0.00028419538,0.000032183445,0.000049264785,0.00014778762],"genre_scores_gemma":[0.9949962,0.000015524984,0.0034022909,0.0012678858,0.000057557467,0.000014498876,0.0000025160991,0.00002037262,0.00022316012],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99676794,0.00053240854,0.00046766055,0.0010560821,0.0005267023,0.00064919185],"domain_scores_gemma":[0.998805,0.00029285997,0.00021027176,0.00056639535,0.000035898454,0.00008957798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010783606,0.00025129554,0.00031398534,0.001260056,0.00048658182,0.00022701638,0.0009038498,0.000086632164,0.0000049142154],"category_scores_gemma":[0.0015327407,0.0001985339,0.00010691811,0.007399722,0.0010067412,0.00060698175,0.00020025243,0.0003942483,0.0000018280107],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002851752,0.00017237158,0.7139884,0.000008971176,0.000006194018,0.00013238016,0.00048556054,0.0023786852,0.27529976,0.0026499778,0.0000537502,0.0045387503],"study_design_scores_gemma":[0.0002542243,0.00012553816,0.34647182,0.000014865879,0.00001939507,0.000012813533,0.00015116154,0.6509644,0.00078150595,0.0008739651,0.00012594378,0.00020436021],"about_ca_topic_score_codex":0.00043415217,"about_ca_topic_score_gemma":0.00098896,"teacher_disagreement_score":0.64858574,"about_ca_system_score_codex":0.00016394116,"about_ca_system_score_gemma":0.000063781845,"threshold_uncertainty_score":0.8095978},"labels":[],"label_agreement":null},{"id":"W2808880094","doi":"10.1016/j.neuroimage.2018.06.043","title":"Suppression of underlying neuronal fluctuations mediates EEG slowing during general anaesthesia","year":2018,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada; University of Pittsburgh","keywords":"Electroencephalography; Neuroscience; Local field potential; Population; Inhibitory postsynaptic potential; Premovement neuronal activity; Neural activity; Burst suppression; Psychology; Medicine","score_opus":0.042223627772926736,"score_gpt":0.2866656425847587,"score_spread":0.24444201481183195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808880094","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971896,0.000004800614,0.0002471841,0.0004163036,0.00071931776,0.00014408703,0.000012773965,0.000101895355,0.0011640355],"genre_scores_gemma":[0.99873126,0.000018349809,0.0002515285,0.00049803354,0.00014842335,0.00000553094,0.0000045124284,0.00003150131,0.00031085286],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99851155,0.00013722549,0.00026989772,0.00044779966,0.00034246364,0.00029108053],"domain_scores_gemma":[0.99932516,0.00013020249,0.0001203593,0.00029395052,0.000049951264,0.000080397134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000086088796,0.00015342227,0.00014964044,0.00014573384,0.00033973964,0.00005933626,0.00023694853,0.000044355067,0.00010331853],"category_scores_gemma":[0.00040844342,0.00014074569,0.00008121638,0.00032734263,0.00018593796,0.00035395892,0.000110693734,0.00017081967,0.000038026566],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027479413,0.000032281685,0.0005752914,0.000013307148,0.0000010796512,0.000021064716,0.000068496694,0.00008453642,0.9972785,0.00056966505,0.00009196146,0.0012363269],"study_design_scores_gemma":[0.00043482802,0.00023112493,0.23072682,0.000022327573,0.00001235997,0.000040093793,0.000009670335,0.024208052,0.7430946,0.00061078806,0.00042880815,0.00018052137],"about_ca_topic_score_codex":0.0000131704355,"about_ca_topic_score_gemma":0.0000042834513,"teacher_disagreement_score":0.25418392,"about_ca_system_score_codex":0.000016967017,"about_ca_system_score_gemma":0.00002484345,"threshold_uncertainty_score":0.5739443},"labels":[],"label_agreement":null},{"id":"W2809415312","doi":"10.1101/353656","title":"A Moment-Based Maximum Entropy Model for Fitting Higher-Order Interactions in Neural Data","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Advanced Research; National Science Foundation","keywords":"Pairwise comparison; Spurious relationship; Computer science; Population; Entropy (arrow of time); Statistical physics; Principle of maximum entropy; Moment (physics); Artificial intelligence; Machine learning; Physics","score_opus":0.06712780967408119,"score_gpt":0.28527111234428665,"score_spread":0.21814330267020546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809415312","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90962505,0.00006691448,0.07711338,0.00252353,0.0055272565,0.0020755099,0.0025262018,0.00053164887,0.000010532596],"genre_scores_gemma":[0.98863494,0.000020427427,0.008677815,0.0013573978,0.0005618346,0.00055679434,0.000004997084,0.0001468493,0.000038940667],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99615955,0.00015669854,0.0006732649,0.0018928839,0.00038491635,0.0007326594],"domain_scores_gemma":[0.9967017,0.00027555224,0.0005022678,0.0020558755,0.00027620274,0.00018838276],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004793923,0.00055426947,0.00047768652,0.00040772973,0.0002624342,0.0003731539,0.0012607004,0.00024272529,0.000056259254],"category_scores_gemma":[0.0007087779,0.0005890234,0.00013205111,0.0005940647,0.0001411369,0.00045585426,0.001044591,0.0008244494,0.000028420662],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016325072,0.00032880646,0.0008837242,0.0002819213,0.000022220604,0.000026038839,0.0000053006897,0.01221209,0.98407173,0.0006914354,0.0013030797,0.000010417042],"study_design_scores_gemma":[0.0007951102,0.000051571416,0.0016045694,0.00018694496,0.000047147987,1.4708108e-8,5.764193e-7,0.9378646,0.055302054,0.000025992616,0.0035445702,0.00057683134],"about_ca_topic_score_codex":0.000044488264,"about_ca_topic_score_gemma":0.000015653022,"teacher_disagreement_score":0.92876965,"about_ca_system_score_codex":0.000322547,"about_ca_system_score_gemma":0.00040463437,"threshold_uncertainty_score":0.99965614},"labels":[],"label_agreement":null},{"id":"W2809466050","doi":"10.1073/pnas.1720995115","title":"Sparse bursts optimize information transmission in a multiplexed neural code","year":2018,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":189,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Multiplexing; Computer science; Code (set theory); Transmission (telecommunications); Information transmission; Neural coding; Simple (philosophy); Action (physics); Blocking (statistics); Artificial intelligence; Theoretical computer science; Telecommunications; Physics; Computer network; Programming language","score_opus":0.060327365521809326,"score_gpt":0.30297037667311166,"score_spread":0.24264301115130232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809466050","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926825,0.0000052299483,0.000007670051,0.003560612,0.000047795882,0.00021544757,0.000010853708,0.0000143598045,0.0034555094],"genre_scores_gemma":[0.99811816,0.00001169698,0.0009898959,0.00077858847,0.00003872665,0.0000058691494,9.445824e-8,0.0000022309464,0.000054737673],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984884,0.000009581295,0.00032881144,0.00018122846,0.0008462321,0.00014570981],"domain_scores_gemma":[0.9994011,0.00011699231,0.0003076969,0.0000064188034,0.00013876,0.000029033637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006706398,0.00007808976,0.00010160066,0.00021623031,0.00017449923,0.000034198187,0.00052656035,0.000058500387,0.000012731772],"category_scores_gemma":[0.0008453317,0.00005086763,0.00004697701,0.0009614024,0.0006993661,0.0013105364,0.00006921372,0.00013463164,0.000002667061],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005536565,0.000027733782,0.00084759656,0.000020253,6.567779e-7,3.7978976e-9,0.00023483188,0.00069061667,0.9864198,0.0095187165,0.0001445238,0.0020398928],"study_design_scores_gemma":[0.00035705304,0.00008745267,0.027367389,0.00006179824,0.0000027016608,0.000008456212,0.000050072376,0.23797324,0.72333074,0.010309037,0.00037580254,0.000076235694],"about_ca_topic_score_codex":0.00000634415,"about_ca_topic_score_gemma":1.319183e-7,"teacher_disagreement_score":0.26308903,"about_ca_system_score_codex":0.00002602464,"about_ca_system_score_gemma":0.000017131984,"threshold_uncertainty_score":0.25768435},"labels":[],"label_agreement":null},{"id":"W2809599097","doi":"10.48550/arxiv.1806.07365","title":"State equation from the spectral structure of human brain activity","year":2018,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Magnetoencephalography; Entropy (arrow of time); Statistical physics; Resting state fMRI; Observable; Transfer entropy; Artificial neural network; Brain activity and meditation; Coupling strength; Frequency domain; Physics; Mathematics; Principle of maximum entropy; Computer science; Artificial intelligence; Psychology; Neuroscience; Electroencephalography; Quantum mechanics; Mathematical analysis","score_opus":0.0920726484203846,"score_gpt":0.21015362285612832,"score_spread":0.11808097443574372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809599097","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99234885,0.000001802069,0.005811758,0.00020745315,0.00058736996,0.00027923787,0.0003767817,0.00005469245,0.00033207753],"genre_scores_gemma":[0.99890256,0.000014203511,0.000011028264,0.0001725479,0.00014671266,1.4461153e-7,0.000034024255,0.000016685502,0.00070206623],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985391,0.00028401552,0.0001333974,0.0007296817,0.000113687645,0.00020013606],"domain_scores_gemma":[0.9985521,0.00034195394,0.00036196873,0.00063425786,0.00005716269,0.0000525915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000096918455,0.00021105522,0.00020786424,0.000074496,0.00021383901,0.00005171202,0.0006009251,0.00015123522,0.00015113837],"category_scores_gemma":[0.00013273777,0.00018038161,0.00013911567,0.00025873285,0.0002643366,0.00015976555,0.00048528734,0.0005073754,0.000013614316],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014326628,0.00006062562,0.0026293558,0.000025374176,0.000029513712,0.000030173667,0.0002481564,0.021096112,0.96113336,0.013957175,0.0003762062,0.00027068867],"study_design_scores_gemma":[0.0007625753,0.00027468606,0.06652041,0.000087408436,0.00011491912,0.0000020725329,0.00005317882,0.18492073,0.27622253,0.47030854,0.00013231464,0.00060062885],"about_ca_topic_score_codex":0.00075897976,"about_ca_topic_score_gemma":0.00050929445,"teacher_disagreement_score":0.68491083,"about_ca_system_score_codex":0.00010668729,"about_ca_system_score_gemma":0.000060117156,"threshold_uncertainty_score":0.7355749},"labels":[],"label_agreement":null},{"id":"W2809623953","doi":"10.1007/s11571-018-9491-3","title":"The informational entropy endowed in cortical oscillations","year":2018,"lang":"en","type":"article","venue":"Cognitive Neurodynamics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Entropy (arrow of time); Computer science; Statistical physics; Physics; Thermodynamics","score_opus":0.02208805408726635,"score_gpt":0.26957587172769,"score_spread":0.24748781764042363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809623953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9859092,0.0000027135686,0.0017955359,0.00081548217,0.0009112065,0.00033464376,0.000050064216,0.00006088772,0.0101202605],"genre_scores_gemma":[0.99751955,0.00004169261,0.000014937764,0.001941932,0.00012583644,0.00002327191,0.00001515654,0.00001283048,0.0003047618],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987074,0.00015908568,0.00028184272,0.00026381583,0.0002796588,0.00030820217],"domain_scores_gemma":[0.9979756,0.0015993143,0.00008668904,0.00013711322,0.00013779291,0.00006349055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001508717,0.00012324026,0.00008896968,0.00009123816,0.0005692671,0.00011999418,0.00016675121,0.00004311982,0.00003449375],"category_scores_gemma":[0.0032966079,0.00009299279,0.000047969446,0.00044836273,0.0004697087,0.0002418155,0.00009203887,0.00028976583,0.00022467939],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010369207,0.0004020499,0.019677697,0.000020005356,0.000016742797,0.00009328248,0.00083405385,0.00038142767,0.32320327,0.6038102,0.0005971964,0.049927145],"study_design_scores_gemma":[0.0012768493,0.00039821744,0.22268534,0.000025266892,0.000014939074,0.00008462197,0.00014264448,0.75628185,0.005387367,0.008114364,0.0052717794,0.0003167557],"about_ca_topic_score_codex":0.0000032320504,"about_ca_topic_score_gemma":0.00008861194,"teacher_disagreement_score":0.75590044,"about_ca_system_score_codex":0.00004361908,"about_ca_system_score_gemma":0.00005266719,"threshold_uncertainty_score":0.43783998},"labels":[],"label_agreement":null},{"id":"W2809798880","doi":"10.3389/fnins.2018.00376","title":"Effect of Stimulation Waveform on the Non-linear Entrainment of Cortical Alpha Oscillations","year":2018,"lang":"en","type":"article","venue":"Frontiers in Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network; Baycrest Hospital","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Waveform; Stimulation; Entrainment (biomusicology); Neuroscience; Nonlinear system; Computational model; Population; Brain stimulation; Computer science; Physics; Psychology; Artificial intelligence; Rhythm; Medicine; Acoustics; Telecommunications","score_opus":0.01884852392510113,"score_gpt":0.27486708272949745,"score_spread":0.25601855880439633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809798880","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9863777,0.0000014660909,0.009825796,0.00027146903,0.0019409854,0.00044608672,0.00001187581,0.000012929927,0.0011116603],"genre_scores_gemma":[0.9992557,0.00000918779,0.0001427075,0.0004709346,0.00003861625,0.000008964684,5.418965e-7,0.0000074735735,0.00006586584],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984624,0.0001954448,0.0002902078,0.00035025002,0.00047254565,0.00022914611],"domain_scores_gemma":[0.99901885,0.00046999153,0.00014693689,0.0002879609,0.00003052697,0.000045724093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000553962,0.00011347138,0.0001647309,0.0001369473,0.00016710602,0.000014319283,0.00030972954,0.000036480058,0.00001013491],"category_scores_gemma":[0.0015774835,0.00007264604,0.000055293855,0.00072192453,0.00076748343,0.000127039,0.00006324215,0.00014814112,0.000003842141],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019749244,0.00010249436,0.010881211,0.00001792605,7.040365e-7,0.0000029115204,0.00015389985,0.0019179127,0.98057544,0.002317019,0.00034542286,0.0034875574],"study_design_scores_gemma":[0.0002889797,0.0016683032,0.024493834,0.000023050437,0.0000050938925,0.0000024124365,0.000009910117,0.53237677,0.4405926,0.00026053243,0.00020824518,0.00007028953],"about_ca_topic_score_codex":0.0000049494947,"about_ca_topic_score_gemma":0.0000010892907,"teacher_disagreement_score":0.53998286,"about_ca_system_score_codex":0.000040943396,"about_ca_system_score_gemma":0.000025671197,"threshold_uncertainty_score":0.29624194},"labels":[],"label_agreement":null},{"id":"W2809940376","doi":"10.1101/359513","title":"A large-scale, standardized physiological survey reveals higher order coding throughout the mouse visual cortex","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":152,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; National Science Foundation","keywords":"Visual cortex; Neural coding; Neuroscience; Coding (social sciences); Sensory system; Stimulus (psychology); Computer science; Convolutional neural network; Psychology; Artificial intelligence; Cognitive psychology","score_opus":0.03809633246254136,"score_gpt":0.28929655577968777,"score_spread":0.2512002233171464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809940376","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99047154,0.000075458396,0.0026502903,0.00029587283,0.003049303,0.0011874672,0.0016534677,0.00059361727,0.000022994045],"genre_scores_gemma":[0.9959305,0.00026186375,0.00037449758,0.0021115928,0.0008878597,0.00016465993,0.0000025068757,0.00016515685,0.00010137649],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99407494,0.0013473568,0.000760873,0.0019252026,0.0008704317,0.0010212216],"domain_scores_gemma":[0.996303,0.0005054725,0.0006959054,0.0015125395,0.0007297953,0.00025324486],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019117239,0.0008033486,0.00090757397,0.00013482444,0.00075545267,0.00056109286,0.0010833936,0.0006622413,0.0002479071],"category_scores_gemma":[0.0016392197,0.00058058125,0.00026625078,0.0009656376,0.0005321635,0.0002155996,0.0012734658,0.0013276573,0.0001697604],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018471034,0.0002141173,0.0020484102,0.00008163527,0.00004656253,0.000025071122,0.000010246726,0.000024424304,0.99368596,0.0006526973,0.003025705,4.6499912e-7],"study_design_scores_gemma":[0.001976758,0.00042023274,0.6056963,0.0002475747,0.00016016084,8.147441e-8,0.000005591543,0.0063526826,0.37272832,0.0000425578,0.010224025,0.0021456655],"about_ca_topic_score_codex":0.000043947894,"about_ca_topic_score_gemma":0.000009521126,"teacher_disagreement_score":0.6209576,"about_ca_system_score_codex":0.00025495945,"about_ca_system_score_gemma":0.00030651785,"threshold_uncertainty_score":0.99966455},"labels":[],"label_agreement":null},{"id":"W2810228545","doi":"10.1101/361543","title":"Quantifying metacognitive thresholds using signal-detection theory","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Canadian Institute for Advanced Research","keywords":"Metacognition; Probabilistic logic; Robustness (evolution); Task (project management); Computer science; Measure (data warehouse); Judgement; Psychology; Artificial intelligence; Detection theory; Machine learning; Cognitive psychology; Cognition; Data mining","score_opus":0.05838090979613719,"score_gpt":0.26913976614138496,"score_spread":0.21075885634524777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810228545","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.966184,0.00015560021,0.028132243,0.00004252588,0.0037612498,0.0008594544,0.00019617642,0.00062768516,0.00004104654],"genre_scores_gemma":[0.99720424,0.00009315799,0.0008973252,0.0005316327,0.0009820942,0.00008936088,1.765913e-7,0.00019295128,0.000009068249],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9955987,0.0006349279,0.00060736854,0.0017879815,0.00063586264,0.0007352006],"domain_scores_gemma":[0.99726206,0.00034618826,0.0006805595,0.0009901006,0.00048397135,0.00023713324],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011389257,0.00072408945,0.00059830997,0.00048382708,0.0006349137,0.0005080578,0.0005976801,0.0006166323,0.00011556505],"category_scores_gemma":[0.00086597865,0.0007310304,0.0002977388,0.000811992,0.00034209015,0.00042418513,0.00067273306,0.0011282342,0.00014844506],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010026839,0.00008700397,0.00031525825,0.00013923194,0.00005681931,0.000054387587,0.000007625678,0.00015506844,0.99793774,0.0011220992,0.000013396632,0.000011094915],"study_design_scores_gemma":[0.00031541864,0.00010538037,0.0030786276,0.00029712,0.00019947524,1.2903288e-7,0.000003432725,0.019339062,0.97541064,0.00007872693,0.0003037746,0.00086818467],"about_ca_topic_score_codex":0.00002992873,"about_ca_topic_score_gemma":0.0000031011177,"teacher_disagreement_score":0.031020215,"about_ca_system_score_codex":0.00032739516,"about_ca_system_score_gemma":0.0002777732,"threshold_uncertainty_score":0.9995141},"labels":[],"label_agreement":null},{"id":"W2810554734","doi":"10.1101/358622","title":"Nested oscillatory dynamics in cortical organoids model early human brain network development","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; California Institute for Regenerative Medicine; Simons Foundation Autism Research Initiative; University of California, San Diego; National Alliance for Research on Schizophrenia and Depression; National Institute of General Medical Sciences; Whitehall Foundation; National Institutes of Health; National Science Foundation","keywords":"Neuroscience; Human brain; Organoid; Glutamatergic; Neocortex; GABAergic; Nerve net; Electroencephalography; Biology; Default mode network; Biological neural network; Premovement neuronal activity; Electrophysiology; Network dynamics; Oscillation (cell signaling); Cognition; Glutamate receptor; Inhibitory postsynaptic potential","score_opus":0.023406648694595727,"score_gpt":0.23312279627728463,"score_spread":0.20971614758268892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810554734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933278,0.000031726475,0.0034337377,0.00023649941,0.0014991035,0.00086095853,0.00006984821,0.0004958193,0.00004450088],"genre_scores_gemma":[0.99577975,0.0000154119,0.0022638435,0.0010840264,0.0004779318,0.00013224962,9.2289616e-7,0.00020348899,0.000042369556],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99497944,0.00035072,0.0010047572,0.0018382217,0.0007183784,0.0011084819],"domain_scores_gemma":[0.99746275,0.00018794532,0.00045721987,0.00124882,0.00026457777,0.00037868205],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00093915715,0.0007721266,0.000707949,0.00037612667,0.0005128462,0.0003547294,0.00090453314,0.00080900063,0.000031308868],"category_scores_gemma":[0.00059559685,0.00084712385,0.00013771307,0.0010098008,0.00032468405,0.00022237432,0.0010488244,0.0015654678,0.000106405205],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000066532615,0.0002641821,0.02818512,0.00019783132,0.000030975436,0.00014132254,0.000025084646,0.0053087906,0.9527165,0.012568471,0.0004921834,0.0000029844425],"study_design_scores_gemma":[0.0012972858,0.0002138564,0.39455572,0.0007509104,0.00006711122,1.1580083e-7,0.0000023882214,0.5051687,0.09422651,0.00017646026,0.00079427264,0.0027467133],"about_ca_topic_score_codex":0.000031083106,"about_ca_topic_score_gemma":0.000059559516,"teacher_disagreement_score":0.85849,"about_ca_system_score_codex":0.0013762953,"about_ca_system_score_gemma":0.0008893139,"threshold_uncertainty_score":0.99939793},"labels":[],"label_agreement":null},{"id":"W2811155326","doi":"10.1109/access.2018.2851841","title":"A Brain-Inspired Multi-Modal Perceptual System for Social Robots: An Experimental Realization","year":2018,"lang":"en","type":"article","venue":"IEEE Access","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Realization (probability); Perception; Artificial intelligence; Robot; Context (archaeology); Spiking neural network; Robotics; Human–computer interaction; Artificial neural network","score_opus":0.12227871548206962,"score_gpt":0.3801955861839311,"score_spread":0.25791687070186153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2811155326","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96461946,0.000002214623,0.03181999,0.0002061144,0.0021050542,0.0006014605,0.000044439395,0.00024151926,0.00035972855],"genre_scores_gemma":[0.9970481,6.8263563e-7,0.00013098685,0.0012327232,0.0011458042,0.00010758628,0.000024519188,0.00003545708,0.00027413695],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99869454,0.00010398671,0.000215418,0.0004913255,0.00021698854,0.00027773643],"domain_scores_gemma":[0.9994934,0.00006265737,0.00011509949,0.00017130806,0.00008247382,0.00007502266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000113020054,0.00015251948,0.0001476404,0.000074470794,0.0006053526,0.0002628418,0.00036754043,0.00009431033,0.000025985777],"category_scores_gemma":[0.000074033705,0.00014361512,0.00006903805,0.0002004172,0.0001382464,0.00082363334,0.00005167578,0.00005623338,0.000025720668],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001539002,0.00014248,0.000089736306,0.00002837589,0.000002544662,0.000002978502,0.0008974036,0.00006108741,0.99391675,0.0024029152,0.0014311693,0.00087066134],"study_design_scores_gemma":[0.0019225025,0.00068494293,0.0021125844,0.000025156405,0.000014073966,0.00001799201,0.00053629116,0.1721653,0.8210805,0.000071056806,0.0009831359,0.00038645384],"about_ca_topic_score_codex":0.000078773606,"about_ca_topic_score_gemma":0.000067655674,"teacher_disagreement_score":0.17283624,"about_ca_system_score_codex":0.00011855931,"about_ca_system_score_gemma":0.000028826847,"threshold_uncertainty_score":0.5856455},"labels":[],"label_agreement":null},{"id":"W2850208818","doi":"10.1101/366831","title":"Adolescent Cognitive Control, Theta Oscillations, and Social Motivation","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Child Health and Human Development; National Institute of Mental Health; National Science Foundation","keywords":"Psychology; Neuroscience; Frontal cortex; Control (management); Cognition; Motor cortex; Motor control; Cognitive psychology; Developmental psychology; Computer science","score_opus":0.027054689869793765,"score_gpt":0.23179046392481958,"score_spread":0.20473577405502583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2850208818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99361986,0.0000663879,0.0025389593,0.0007871718,0.001275313,0.0008937844,0.00050883676,0.00028300163,0.000026660586],"genre_scores_gemma":[0.997665,0.00008523317,0.0000719417,0.0012876145,0.0007410499,0.00006909763,5.072976e-7,0.000070976384,0.000008584521],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99757344,0.00025827758,0.00036694243,0.001038904,0.0003856242,0.0003767919],"domain_scores_gemma":[0.99856514,0.00021082003,0.000411025,0.0003369005,0.00036123893,0.000114863564],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003371657,0.00039781784,0.00036220808,0.00019387502,0.00047694746,0.00030316538,0.00022114652,0.00035207308,0.000021822496],"category_scores_gemma":[0.0007305921,0.0004020673,0.00010067537,0.00026538596,0.00029061103,0.00019399579,0.00028645236,0.00054279284,0.00004560764],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009422758,0.00012552917,0.007997063,0.00016716363,0.000033773882,0.000012291356,0.000014316482,0.000008689846,0.98923606,0.0020240063,0.00027877223,0.000008130253],"study_design_scores_gemma":[0.0021117425,0.00017143108,0.762122,0.00049536786,0.00023522507,6.127375e-8,0.0000061682285,0.008940255,0.22224179,0.00007388884,0.0022691994,0.0013328991],"about_ca_topic_score_codex":0.000008480577,"about_ca_topic_score_gemma":8.0411996e-7,"teacher_disagreement_score":0.76699424,"about_ca_system_score_codex":0.00013399513,"about_ca_system_score_gemma":0.00016092457,"threshold_uncertainty_score":0.9998431},"labels":[],"label_agreement":null},{"id":"W2883033428","doi":"10.1101/369488","title":"Asymmetric effective connectivity between primate anterior cingulate and lateral prefrontal cortex revealed by electrical microstimulation","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Microstimulation; Anterior cingulate cortex; Prefrontal cortex; Inhibitory postsynaptic potential; Primate; Psychology; Stimulation; Cognition","score_opus":0.009794592149963092,"score_gpt":0.23364262789174126,"score_spread":0.22384803574177817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883033428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945219,0.00023620861,0.0014657646,0.000065578286,0.0009609046,0.001770725,0.00059988553,0.0003716124,0.0000074304553],"genre_scores_gemma":[0.99872977,0.000111124085,0.00032436562,0.0002034646,0.00039504032,0.00010360615,0.0000015724821,0.00012142117,0.000009656978],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99604976,0.00047894887,0.00058418314,0.0017673483,0.0004205269,0.0006992307],"domain_scores_gemma":[0.9977498,0.00046181187,0.00062503316,0.0006517117,0.00022866734,0.0002829481],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005808166,0.0006697969,0.0008154372,0.00041707972,0.0003971412,0.00042293544,0.00034776257,0.0005725581,0.000009684159],"category_scores_gemma":[0.0008514119,0.00068154733,0.00014822077,0.0007649147,0.00024756495,0.00031280966,0.00056570617,0.0008696382,0.000032927237],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013039303,0.00008418655,0.042571083,0.00015323593,0.000043846292,0.000023082808,0.0000051673874,0.000003965349,0.9568271,0.00002487182,0.00009483376,0.00003825626],"study_design_scores_gemma":[0.00067961635,0.00027908894,0.62297887,0.00015364775,0.00008679342,1.2005626e-7,6.534241e-8,0.004998902,0.37012634,0.000009631299,0.00013008523,0.0005568362],"about_ca_topic_score_codex":0.000064935346,"about_ca_topic_score_gemma":0.0000013193613,"teacher_disagreement_score":0.58670074,"about_ca_system_score_codex":0.0004391465,"about_ca_system_score_gemma":0.00012366705,"threshold_uncertainty_score":0.9995636},"labels":[],"label_agreement":null},{"id":"W2883076886","doi":"10.1523/jneurosci.2928-17.2018","title":"Temporal Expectation Modulates the Cortical Dynamics of Short-Term Memory","year":2018,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Neuroscience; Supramarginal gyrus; Psychology; Alpha (finance); Functional magnetic resonance imaging; Developmental psychology","score_opus":0.04084022638956543,"score_gpt":0.291820665058917,"score_spread":0.2509804386693516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883076886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940728,0.0000054133143,0.0029125344,0.00085030426,0.0017916159,0.00009138833,0.000004118846,0.000010340472,0.00026148834],"genre_scores_gemma":[0.9990828,0.000019240188,0.000083600105,0.00052065065,0.00017321078,8.027032e-7,1.8792647e-7,0.000008920427,0.00011055671],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99835074,0.00014934894,0.0004732416,0.00021076565,0.0006160782,0.00019983748],"domain_scores_gemma":[0.9989178,0.00025267302,0.0003677741,0.00020576191,0.00017271757,0.00008322617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003777561,0.00010401565,0.00016054184,0.00011597987,0.00024559844,0.00006766354,0.0005357522,0.00003291066,0.000010380765],"category_scores_gemma":[0.001071955,0.00006415425,0.0001012306,0.0004834166,0.0008025539,0.00042575205,0.000076725,0.00025401727,0.0000026062996],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049458904,0.00006366247,0.0029018314,0.0000040369173,6.17817e-7,0.000023915609,0.00012607168,0.00012677879,0.9944577,0.00069744315,0.00005223903,0.0014962396],"study_design_scores_gemma":[0.00037950656,0.002360299,0.25389034,0.00004960317,0.000028915547,0.0012171671,0.00021335833,0.31468946,0.42526066,0.0015628781,0.00012621375,0.00022160125],"about_ca_topic_score_codex":0.0000026580683,"about_ca_topic_score_gemma":0.0000066025577,"teacher_disagreement_score":0.56919706,"about_ca_system_score_codex":0.000034929526,"about_ca_system_score_gemma":0.00006407753,"threshold_uncertainty_score":0.29570433},"labels":[],"label_agreement":null},{"id":"W2883897936","doi":"10.1111/ejn.14068","title":"Mapping of fine‐scale rat prefrontal cortex connections: Evidence for detailed ordering of inputs and outputs connecting the temporal cortex and sensory‐motor regions","year":2018,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Trent University; Nottingham Trent University","keywords":"Prefrontal cortex; Neuroscience; Cortex (anatomy); Sensory system; Motor cortex; Cerebral cortex; Psychology; Cognition","score_opus":0.08314251950630532,"score_gpt":0.287498980475797,"score_spread":0.20435646096949167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883897936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98282063,0.000080835656,0.0150454715,0.0006724409,0.0009928228,0.00029676058,0.000012330505,0.000014675661,0.00006403803],"genre_scores_gemma":[0.99859214,0.00010406834,0.00067999505,0.00034308818,0.00013148053,0.0000012876386,1.1040379e-7,0.000019658542,0.0001281649],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99807525,0.0003885056,0.0006401977,0.00036399966,0.00030129953,0.00023075286],"domain_scores_gemma":[0.9975842,0.00090887933,0.0009354106,0.00021115804,0.0002497568,0.00011059947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010376188,0.00015493075,0.00025897007,0.00016285057,0.00048043078,0.00009148733,0.00035527407,0.000018748566,0.0000022178742],"category_scores_gemma":[0.003740214,0.000111740716,0.00008385457,0.00036182834,0.0008459413,0.0004924444,0.0001750881,0.00020505844,5.584684e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012386087,0.000026967888,0.0012124786,0.00003525226,0.0000019479135,0.00001773618,0.0005122554,0.000017954486,0.99617904,0.000085428816,0.000020362142,0.0017666989],"study_design_scores_gemma":[0.003034511,0.009952639,0.5499764,0.0015345801,0.0001069791,0.005141675,0.0016194993,0.063598774,0.36002374,0.00038167246,0.003929872,0.00069962663],"about_ca_topic_score_codex":0.0000042259994,"about_ca_topic_score_gemma":0.000017991499,"teacher_disagreement_score":0.6361553,"about_ca_system_score_codex":0.000014283861,"about_ca_system_score_gemma":0.000049176637,"threshold_uncertainty_score":0.4556654},"labels":[],"label_agreement":null},{"id":"W2884035121","doi":"10.1101/027102","title":"Medial prefrontal cortex population activity is plastic irrespective of learning","year":2015,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Medical Research Council","keywords":"Prefrontal cortex; Population; Psychology; Neuroscience; Neuroplasticity; Cognitive psychology; Cognition; Medicine","score_opus":0.024192570900665233,"score_gpt":0.2404872941219385,"score_spread":0.21629472322127327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884035121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99508315,0.000035928813,0.0007436634,0.000051281266,0.003087251,0.0005297869,0.0002063483,0.00024261775,0.000019943052],"genre_scores_gemma":[0.9992505,0.000029831765,0.00013711375,0.000039146056,0.00039845574,0.000048851485,4.4112136e-7,0.00008445778,0.000011252439],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9970837,0.00029622362,0.00041869562,0.001096535,0.00070733373,0.00039747858],"domain_scores_gemma":[0.997876,0.0002711395,0.000760889,0.00057325116,0.00030474618,0.00021396377],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00037090562,0.00043906184,0.00054114434,0.00027051807,0.00016167933,0.00011222102,0.00036875688,0.00041457234,0.000041558043],"category_scores_gemma":[0.0018589485,0.00046186312,0.00014947163,0.00041095348,0.00013449109,0.00026904407,0.00046311333,0.0010467808,0.000034691344],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016948611,0.000119006836,0.008257579,0.00011343466,0.000021803864,0.00001843612,0.00001932553,0.0005553868,0.9904527,0.00022712277,0.000042633048,0.000003083386],"study_design_scores_gemma":[0.0005294183,0.00020881079,0.6011527,0.00017096681,0.00007857282,3.250926e-8,0.0000020636921,0.02897549,0.3681708,0.000019903435,0.00012751413,0.0005637162],"about_ca_topic_score_codex":0.00016877899,"about_ca_topic_score_gemma":0.000009558659,"teacher_disagreement_score":0.6222819,"about_ca_system_score_codex":0.0004435305,"about_ca_system_score_gemma":0.00033056564,"threshold_uncertainty_score":0.99978334},"labels":[],"label_agreement":null},{"id":"W2884128237","doi":"10.1111/ejn.14080","title":"A review of plasticity induced by auditory and visual tetanic stimulation in humans","year":2018,"lang":"en","type":"review","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"University of Auckland; Brain Research New Zealand; Hope Foundation","keywords":"Long-term potentiation; Neuroscience; Psychology; Sensory system; Synaptic plasticity; Neuroplasticity; Tetanic stimulation; Stimulation; Perception; Sensory stimulation therapy; Cognitive psychology; Biology","score_opus":0.09141975213659123,"score_gpt":0.3462213565047115,"score_spread":0.25480160436812027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884128237","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012688408,0.98417103,0.00022689522,0.000036241167,0.0020924557,0.00048232859,0.000022312332,0.000014499066,0.00026580077],"genre_scores_gemma":[0.011403178,0.9877648,0.000012691422,0.00053125405,0.0002106038,9.949542e-7,7.3402254e-7,0.0000372087,0.000038584865],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9956163,0.0016518976,0.0013948177,0.00052958296,0.0005545335,0.0002528755],"domain_scores_gemma":[0.9971109,0.0004784794,0.0020066677,0.00016434948,0.00010131379,0.00013827384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014087114,0.00030543658,0.0009883994,0.00035104738,0.000101345155,0.000059758386,0.0005976759,0.000044780212,0.000008068338],"category_scores_gemma":[0.003548749,0.00023153078,0.00021211924,0.00085993356,0.00030353328,0.00035128798,0.0001846079,0.00064450403,0.000007714205],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005729273,0.0005686912,0.000015059203,0.051364113,0.0000087341805,0.0005442686,0.00007516541,0.0000087976105,0.35867158,0.000048583828,0.0040084976,0.58462924],"study_design_scores_gemma":[0.0005569379,0.0031881973,0.0017619296,0.12548311,0.00023814823,0.00064825383,0.0000031688542,0.00044611856,0.00021021735,0.000014885412,0.8668193,0.000629705],"about_ca_topic_score_codex":5.822791e-7,"about_ca_topic_score_gemma":2.9102293e-7,"teacher_disagreement_score":0.86281085,"about_ca_system_score_codex":0.000056827994,"about_ca_system_score_gemma":0.00014946512,"threshold_uncertainty_score":0.9441551},"labels":[],"label_agreement":null},{"id":"W2884249461","doi":"10.1016/j.neuropsychologia.2018.07.022","title":"Developmental differences in the neural dynamics of observational learning","year":2018,"lang":"en","type":"article","venue":"Neuropsychologia","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Berlin School of Mind and Brain","keywords":"Psychology; Observational learning; Developmental psychology; Valence (chemistry); Social learning; Incidental learning; Context (archaeology); Young adult; Observational study; Cognitive psychology; Dynamics (music); Experiential learning","score_opus":0.10532900980840974,"score_gpt":0.3001581657648012,"score_spread":0.19482915595639144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884249461","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930289,0.0000014148922,0.00008936816,0.0009511222,0.00040070087,0.00011109357,0.0000042358593,0.00002911997,0.0053840796],"genre_scores_gemma":[0.9975892,0.000005830347,0.000086567496,0.0020570832,0.000053962252,0.0000068224776,0.000003541562,0.000007307509,0.00018971633],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99885654,0.00024419717,0.00021164845,0.00027757444,0.00023679894,0.0001732161],"domain_scores_gemma":[0.99944705,0.00031885493,0.000096309326,0.000093104485,0.000028012835,0.000016643558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016801246,0.000096258984,0.000097157514,0.00006597009,0.00012295885,0.00003063263,0.00035328433,0.00003734858,0.000058566737],"category_scores_gemma":[0.00047887073,0.000063721825,0.000030638108,0.00045908996,0.00023196977,0.000096719916,0.00004891767,0.00025438383,0.00002397652],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013130091,0.00021691278,0.6132678,0.0000085395495,0.0000021627632,0.000039773793,0.0005463291,0.0000415113,0.35133308,0.016179904,0.00032277813,0.017909937],"study_design_scores_gemma":[0.00018611483,0.0003162099,0.97930926,0.00000476212,0.0000014189322,0.0000514963,0.000089628986,0.018058324,0.0010568219,0.0006551996,0.00019072788,0.000080055484],"about_ca_topic_score_codex":0.0000060253096,"about_ca_topic_score_gemma":0.000022237049,"teacher_disagreement_score":0.36604145,"about_ca_system_score_codex":0.000015807347,"about_ca_system_score_gemma":0.000012142394,"threshold_uncertainty_score":0.25985005},"labels":[],"label_agreement":null},{"id":"W2884815319","doi":"10.1016/j.jneumeth.2018.07.016","title":"EEG time-warping to study non-strictly-periodic EEG signals related to the production of rhythmic movements","year":2018,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; International Laboratory for Brain, Music and Sound Research","funders":"","keywords":"Rhythm; Electroencephalography; Speech recognition; Dynamic time warping; Computer science; Brain activity and meditation; Communication; Pattern recognition (psychology); Artificial intelligence; Psychology; Neuroscience; Physics; Acoustics","score_opus":0.05270870516103973,"score_gpt":0.3721613164543781,"score_spread":0.31945261129333835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884815319","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97811455,0.000005240257,0.014183881,0.0020238198,0.004646053,0.00086055294,0.000002569826,0.000018390616,0.00014494003],"genre_scores_gemma":[0.9904144,0.000009434897,0.005252668,0.0031731534,0.00015305771,0.000010665482,4.565725e-8,0.00002152313,0.00096506026],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99601334,0.0011604867,0.000910238,0.0005686504,0.00096467126,0.00038263717],"domain_scores_gemma":[0.9978634,0.0003703539,0.0007489592,0.00047331583,0.00033891294,0.00020507019],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043752207,0.00020581798,0.00036179018,0.00050485996,0.00051066064,0.00013592074,0.0008590595,0.000042055573,0.00002716791],"category_scores_gemma":[0.0076210718,0.00013559283,0.00012754534,0.0030165433,0.00020103311,0.0004573378,0.00025209738,0.00035672917,0.000029601719],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009218339,0.00019934149,0.00018540917,0.0000036909466,0.0000033240983,0.000018117707,0.00090607733,0.0015315517,0.9824279,0.000008350156,0.00018654787,0.014437539],"study_design_scores_gemma":[0.0004846351,0.008392631,0.070349686,0.000104055114,0.000045304572,0.0004524566,0.00028249878,0.011355492,0.9042097,0.00034738082,0.0036664878,0.00030970966],"about_ca_topic_score_codex":0.000005023674,"about_ca_topic_score_gemma":7.291035e-7,"teacher_disagreement_score":0.07821821,"about_ca_system_score_codex":0.0000663715,"about_ca_system_score_gemma":0.00009573495,"threshold_uncertainty_score":0.91236854},"labels":[],"label_agreement":null},{"id":"W2884884675","doi":"10.1016/j.neulet.2018.07.035","title":"EEG dynamics on hyperbolic manifolds","year":2018,"lang":"en","type":"article","venue":"Neuroscience Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Electroencephalography; Computer science; Focus (optics); Dynamics (music); Energy (signal processing); Function (biology); Neuroscience; Cognitive science; Artificial intelligence; Psychology; Mathematics; Biology; Physics; Statistics; Evolutionary biology","score_opus":0.025701915590868773,"score_gpt":0.25049447377415884,"score_spread":0.22479255818329008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884884675","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9746356,5.1219337e-7,0.0009466304,0.012880635,0.0034249388,0.00018075148,0.00001248991,0.00020641123,0.0077120303],"genre_scores_gemma":[0.878705,0.0000050641265,0.000035423607,0.12027111,0.0002168616,0.000008408874,9.0223864e-7,0.000024050121,0.0007331325],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99776137,0.00009078368,0.00018864978,0.0008543528,0.0005567021,0.0005481708],"domain_scores_gemma":[0.99917537,0.00011352839,0.00008762491,0.00046948,0.000020376252,0.00013359684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001271448,0.00020698644,0.00013073627,0.00017783263,0.0004936507,0.00018375106,0.00061317603,0.000047378802,0.0000367443],"category_scores_gemma":[0.0003674371,0.0001801635,0.00007301538,0.0007482871,0.0006259133,0.00031241338,0.00010794605,0.00023447438,0.00044618917],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019322257,0.000042294752,0.0003207978,0.0000023995171,1.7843578e-7,0.000044938344,0.000027952916,0.000067410765,0.98665684,0.008572818,0.001724057,0.0025209766],"study_design_scores_gemma":[0.0011802772,0.002708124,0.06361375,0.00005535947,0.000019738756,0.0005113062,0.000041031748,0.23659636,0.63412774,0.0017269107,0.05790058,0.0015188506],"about_ca_topic_score_codex":0.000013512244,"about_ca_topic_score_gemma":0.000009715546,"teacher_disagreement_score":0.35252914,"about_ca_system_score_codex":0.000078928926,"about_ca_system_score_gemma":0.000017011665,"threshold_uncertainty_score":0.7346854},"labels":[],"label_agreement":null},{"id":"W2885086760","doi":"10.1038/s41467-018-05657-9","title":"Transcriptional and physiological adaptations in nucleus accumbens somatostatin interneurons that regulate behavioral responses to cocaine","year":2018,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"U.S. Department of Health and Human Services; National Institutes of Health; National Institute of Mental Health; Korea Brain Research Institute; National Institute on Drug Abuse; Brain and Behavior Research Foundation","keywords":"Nucleus accumbens; Optogenetics; Neuroscience; Somatostatin; Transcriptome; Biology; Population; Dopamine; Gene expression; Gene; Medicine; Genetics","score_opus":0.13620779664957472,"score_gpt":0.36836787942851223,"score_spread":0.23216008277893752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885086760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98894554,0.00006815056,0.000115980205,0.00969542,0.00019373505,0.00030428893,0.00016075835,0.00008489067,0.00043125133],"genre_scores_gemma":[0.9947315,0.00012747226,0.0022601513,0.0024688856,0.000029750876,0.00005308423,0.00003438316,0.0000154794,0.00027930018],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988023,0.00031360885,0.00020067196,0.00032741862,0.00015850282,0.00019747621],"domain_scores_gemma":[0.9986626,0.00045446728,0.00005879836,0.0006685414,0.00006825445,0.000087326785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012848775,0.00013025048,0.00012946199,0.00016876469,0.00035683904,0.00007007333,0.00055440824,0.00013159697,0.00002996417],"category_scores_gemma":[0.00043497156,0.000118998076,0.00004131653,0.00041033202,0.0003767151,0.0001861198,0.00024684097,0.0005704762,0.000026242486],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014645302,0.0003019082,0.0020070574,0.0000024308356,0.0000025882282,0.0000045354045,0.0008318309,0.000009617561,0.93866336,0.055009007,0.0009635445,0.0020576622],"study_design_scores_gemma":[0.0008540034,0.0007026198,0.935522,0.00006667393,0.00002382283,0.0000814973,0.00036857126,0.011920294,0.013865726,0.0039515663,0.03221931,0.00042387974],"about_ca_topic_score_codex":0.000027846525,"about_ca_topic_score_gemma":0.0011559568,"teacher_disagreement_score":0.93351495,"about_ca_system_score_codex":0.000038358707,"about_ca_system_score_gemma":0.000028321312,"threshold_uncertainty_score":0.48526007},"labels":[],"label_agreement":null},{"id":"W2885158230","doi":"10.1371/journal.pcbi.1006315","title":"Irrelevance by inhibition: Learning, computation, and implications for schizophrenia","year":2018,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research; Google","keywords":"Schizophrenia (object-oriented programming); Computer science; Artificial intelligence; Neuroscience; Cognitive science; Cognitive psychology; Computational biology; Psychology; Biology; Psychiatry","score_opus":0.030994995377668498,"score_gpt":0.2889708020799322,"score_spread":0.2579758067022637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885158230","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72948945,0.00007164509,0.26638946,0.0028774904,0.00021849388,0.00033352242,0.00018541749,0.00017035632,0.00026420585],"genre_scores_gemma":[0.9939518,0.000021289236,0.004346506,0.0011269593,0.00014387873,0.000053357264,0.00027968528,0.000011799071,0.000064756605],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992801,0.00005304161,0.00016239105,0.0003150101,0.000047934675,0.00014151302],"domain_scores_gemma":[0.99913025,0.00056694483,0.0000710941,0.000045865836,0.00013921685,0.00004662326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000047216192,0.00009223538,0.0000946553,0.000056040517,0.00035149202,0.00003264484,0.00005129617,0.00005222564,0.0000104827095],"category_scores_gemma":[0.00017741282,0.000090161884,0.000021743268,0.00013922813,0.0002674084,0.000080398546,0.00002751759,0.00007601928,0.000019154835],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012519464,0.00014271944,0.0025544746,0.00003331998,0.000027749067,3.3506822e-7,0.00007465882,0.0043617813,0.8299232,0.124763735,0.012457751,0.025535041],"study_design_scores_gemma":[0.0015260718,0.0010595833,0.008211728,0.0000166766,0.000019147525,0.000057169185,0.000007095479,0.6474777,0.019481238,0.29940593,0.022341056,0.000396603],"about_ca_topic_score_codex":6.4064585e-7,"about_ca_topic_score_gemma":9.5133805e-7,"teacher_disagreement_score":0.81044203,"about_ca_system_score_codex":0.000015706686,"about_ca_system_score_gemma":0.000018184845,"threshold_uncertainty_score":0.3676695},"labels":[],"label_agreement":null},{"id":"W2885652098","doi":"10.1371/journal.pone.0201630","title":"BioNet: A Python interface to NEURON for modeling large-scale networks","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Python (programming language); Computer science; Workflow; Modular design; Application programming interface; Interface (matter); Graphical user interface; Debugging; User interface; Distributed computing; Programming language; Operating system; Database","score_opus":0.07212103696670066,"score_gpt":0.26692093579261866,"score_spread":0.194799898825918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885652098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.762664,0.00000762771,0.2352514,0.0009963386,0.0002894995,0.00041716048,0.0000165347,0.00010523575,0.00025216152],"genre_scores_gemma":[0.9942291,0.000011472523,0.001918309,0.0023645954,0.00044041162,0.000042732314,0.0000030910846,0.00003331705,0.0009570212],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892604,0.00003185165,0.00015125009,0.00040444583,0.00016482957,0.00032155053],"domain_scores_gemma":[0.9995159,0.000070434464,0.000037166654,0.00022033484,0.00006509113,0.00009109328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000113811446,0.000107690255,0.00012913065,0.000058911133,0.00017733293,0.00005714344,0.0001594924,0.00004919645,0.000025069454],"category_scores_gemma":[0.00019406585,0.0001016461,0.000039189337,0.00020787213,0.000022311095,0.00010702653,0.000097164695,0.00010136038,0.000087548935],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001696091,0.0003911054,0.00003528749,0.000018943116,0.0000048977404,7.467782e-7,0.00014327223,0.0063254302,0.9915709,0.00020519877,0.00036596536,0.0007686706],"study_design_scores_gemma":[0.00019840135,0.00047970717,0.000017264396,0.000044317225,0.000013726166,9.367135e-7,0.000009395307,0.8757664,0.1226642,0.00023019039,0.00046544455,0.000110049245],"about_ca_topic_score_codex":0.000004530511,"about_ca_topic_score_gemma":0.00002822383,"teacher_disagreement_score":0.8694409,"about_ca_system_score_codex":0.00002177229,"about_ca_system_score_gemma":0.000006414839,"threshold_uncertainty_score":0.4145008},"labels":[],"label_agreement":null},{"id":"W2885808274","doi":"10.1109/tnse.2018.2862919","title":"Neuronal Spatial Arrangement Shapes Effective Connectivity Traits of <i>in vitro</i> Cortical Networks","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Network Science and Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"H2020 Future and Emerging Technologies; Generalitat de Catalunya; European Commission","keywords":"Metric (unit); Computer science; Artificial intelligence; Homogeneous; Algorithm; Combinatorics; Mathematics","score_opus":0.010156824623070649,"score_gpt":0.2147091838829748,"score_spread":0.20455235925990414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885808274","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6242964,0.00000556847,0.37459302,0.00004191029,0.0007335477,0.00019775594,0.0000040969976,0.000035570112,0.000092106624],"genre_scores_gemma":[0.9994588,0.00002126443,0.00013283905,0.0001885327,0.0001555886,0.00002600095,1.1293721e-7,0.000010611086,0.0000062357553],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99866486,0.000042190855,0.00017971249,0.00040974864,0.000311386,0.00039210508],"domain_scores_gemma":[0.9993695,0.00036445336,0.000036547375,0.00008527423,0.000045612695,0.000098606775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004084212,0.00013959009,0.00016721325,0.00013783037,0.00025007193,0.00004072435,0.00013282827,0.00004429859,0.000007859165],"category_scores_gemma":[0.000047640242,0.00013088358,0.00003988237,0.00086354744,0.00036817024,0.00022422307,0.0000040764244,0.00026576378,0.0000017143414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011442303,0.000052234267,0.000011120819,0.0000070919323,0.0000020110376,0.0000023768162,0.000041711406,0.3519873,0.6192394,0.00012657237,0.000004830607,0.028410915],"study_design_scores_gemma":[0.00026291987,0.0003050786,0.0077303536,0.00003280877,0.0000073882366,0.000008277959,0.0000038704084,0.7965131,0.194958,0.000019440015,0.00003994036,0.00011883823],"about_ca_topic_score_codex":0.000018785495,"about_ca_topic_score_gemma":0.000029666518,"teacher_disagreement_score":0.44452578,"about_ca_system_score_codex":0.000049466755,"about_ca_system_score_gemma":0.0000301195,"threshold_uncertainty_score":0.53372777},"labels":[],"label_agreement":null},{"id":"W2886044324","doi":"10.1101/392886","title":"Estimation of narrowband amplitude and phase from electrophysiology signals for phase-amplitude coupling studies: a comparison of methods","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Magnetoencephalography; Hilbert transform; Amplitude; Narrowband; Wavelet; Computer science; Context (archaeology); SIGNAL (programming language); Instantaneous phase; Speech recognition; Phase (matter); Signal processing; Coupling (piping); Acoustics; Artificial intelligence; Electroencephalography; Physics; Telecommunications; Filter (signal processing); Computer vision; Spectral density; Psychology; Materials science; Optics; Neuroscience","score_opus":0.08441802441303578,"score_gpt":0.39010460159523497,"score_spread":0.30568657718219916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886044324","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83851707,0.0010670614,0.15808702,0.000043614855,0.0006596639,0.0009875345,0.0005561612,0.00008157942,2.9422554e-7],"genre_scores_gemma":[0.962669,0.00025526882,0.036561947,0.0000760009,0.00017801988,0.00019077091,0.0000018753042,0.00006654163,5.7392754e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99695295,0.00023392141,0.0010228944,0.001141612,0.00024491127,0.0004037208],"domain_scores_gemma":[0.9958415,0.0014837997,0.0013437525,0.0006904627,0.00051908486,0.00012138927],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007865307,0.00046434475,0.0012687617,0.00024036365,0.0001843944,0.000069367175,0.00036985785,0.00033056704,0.00000949413],"category_scores_gemma":[0.0018811787,0.00045659608,0.000165266,0.00032500166,0.00043390229,0.00012886614,0.00028677066,0.00035870122,0.000001265107],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045541345,0.00053498487,0.00007798769,0.0006122903,0.00015334222,0.0000012202719,0.00004504535,0.0013709564,0.99626666,0.0003776049,0.00004912137,0.00005537225],"study_design_scores_gemma":[0.0015663374,0.0009302927,0.00031210372,0.00025698493,0.00018085577,8.844093e-9,0.0000057807106,0.18227884,0.8138882,0.00017013203,0.00008347766,0.0003269873],"about_ca_topic_score_codex":0.00002590203,"about_ca_topic_score_gemma":8.433341e-7,"teacher_disagreement_score":0.18237846,"about_ca_system_score_codex":0.000102567516,"about_ca_system_score_gemma":0.00017613634,"threshold_uncertainty_score":0.9997886},"labels":[],"label_agreement":null},{"id":"W2886702617","doi":"10.7554/elife.36068","title":"Content-specific activity in frontoparietal and default-mode networks during prior-guided visual perception","year":2018,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; National Institutes of Health; Fulbright Association; Leon Levy Foundation; NYU Langone Medical Center; Esther A. and Joseph Klingenstein Fund; York University; U.S. Department of State","keywords":"Default mode network; Perception; Functional magnetic resonance imaging; Psychology; Visual perception; Rendering (computer graphics); Neuroscience; Neural correlates of consciousness; Human brain; Hierarchy; Neuroimaging; Artificial neural network; Visual processing; Cognitive psychology; Computer science; Artificial intelligence; Cognition","score_opus":0.05048450726718196,"score_gpt":0.297305601971026,"score_spread":0.24682109470384406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886702617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971,0.000014945111,0.0016052811,0.00013570626,0.000557056,0.00018961128,0.0000026980238,0.00006183869,0.00033288574],"genre_scores_gemma":[0.9989732,0.000094810865,0.0000431595,0.00022766164,0.00034802317,0.000008678954,0.0000018832276,0.000014583055,0.0002880196],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989003,0.00008888065,0.0001602548,0.0004000889,0.00019260959,0.0002578438],"domain_scores_gemma":[0.9996544,0.000053111606,0.000062132145,0.00012790214,0.000030280542,0.0000721579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000118745294,0.0001225034,0.00013435,0.000060447102,0.00020340178,0.00007876686,0.00006388248,0.00007449862,0.00003752657],"category_scores_gemma":[0.00009552251,0.00011405138,0.000032732485,0.00012828429,0.0001302895,0.0002873455,0.000079122634,0.00017778645,0.000032739925],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001558761,0.00005394281,0.006113786,0.000004372405,0.0000010850894,0.000010871334,0.00013922826,0.00006682952,0.9868633,0.00010374351,0.00011852512,0.006368425],"study_design_scores_gemma":[0.000972311,0.00015770453,0.77604496,0.0000209834,0.000003329563,0.000042887754,0.000069448404,0.16576473,0.056304853,0.000028517985,0.00037682086,0.00021345163],"about_ca_topic_score_codex":0.00010740947,"about_ca_topic_score_gemma":0.0002193525,"teacher_disagreement_score":0.93055844,"about_ca_system_score_codex":0.00007405689,"about_ca_system_score_gemma":0.000009449145,"threshold_uncertainty_score":0.465088},"labels":[],"label_agreement":null},{"id":"W2886703049","doi":"10.1016/j.neunet.2018.07.019","title":"Estimation of neural connections from partially observed neural spikes","year":2018,"lang":"en","type":"article","venue":"Neural Networks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Core Research for Evolutional Science and Technology; Japan Society for the Promotion of Science; Japan Science and Technology Corporation","keywords":"Artificial neural network; Computer science; Artificial intelligence; Property (philosophy); Spike (software development); Multiplicative function; Neuron; Pattern recognition (psychology); Neuroscience; Biological system; Machine learning; Mathematics; Biology","score_opus":0.049332956052945034,"score_gpt":0.2629681887524344,"score_spread":0.21363523269948936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886703049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98834634,0.00003940983,0.0059057144,0.0010281698,0.0037676136,0.00032683276,0.00003643463,0.00022927148,0.00032019577],"genre_scores_gemma":[0.99702007,0.000013034368,0.00014364775,0.0015903822,0.0009903292,0.000019677003,0.00004293052,0.00003787896,0.0001420775],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99782956,0.00023118018,0.00052253617,0.0006148617,0.00033147438,0.00047036898],"domain_scores_gemma":[0.99850184,0.00052679103,0.00029329208,0.00043801242,0.000095117706,0.0001449239],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000110040564,0.00027628415,0.00030994587,0.00008422767,0.00035840625,0.000115279094,0.00034314618,0.00014570655,0.00020062205],"category_scores_gemma":[0.0003753836,0.00024755608,0.00016759973,0.0005486714,0.0003374034,0.0004896309,0.00012143943,0.00034388737,0.000027295384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000501274,0.0001988774,0.0040760995,0.000016717122,0.000015445741,0.00003592239,0.00015028859,0.5944864,0.30110648,0.0020955983,0.0018680206,0.09544888],"study_design_scores_gemma":[0.00044828636,0.00045650892,0.013588477,0.000015052901,0.000031140262,0.000019810785,0.000010697235,0.9628555,0.021512473,0.0006552982,0.0001771472,0.00022958076],"about_ca_topic_score_codex":0.00019252615,"about_ca_topic_score_gemma":0.00023144942,"teacher_disagreement_score":0.36836913,"about_ca_system_score_codex":0.000027760474,"about_ca_system_score_gemma":0.000015507374,"threshold_uncertainty_score":0.9999977},"labels":[],"label_agreement":null},{"id":"W2886906586","doi":"10.1152/jn.00340.2018","title":"Ionic mechanisms underlying tonic and burst firing behavior in subfornical organ neurons: a combined experimental and modeling study","year":2018,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; Queen's University","funders":"Canadian Institutes of Health Research; Government of Canada","keywords":"Subfornical organ; Neuroscience; Bursting; Tonic (physiology); Electrophysiology; Neuron; Biology; Receptor; Angiotensin II","score_opus":0.07724473209433716,"score_gpt":0.3248880055927678,"score_spread":0.24764327349843065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886906586","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990065,0.000017155215,0.00013997282,0.00012317389,0.00049582875,0.00019967215,6.537013e-7,0.0000115274715,0.000005493914],"genre_scores_gemma":[0.999494,0.0000339267,0.000052887906,0.0003393771,0.00004964685,0.000004382246,1.4372132e-7,0.000019581124,0.0000060534444],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99870986,0.00022426911,0.0003866838,0.00031189085,0.0001449443,0.00022234111],"domain_scores_gemma":[0.999457,0.00014793093,0.0001568967,0.00011774686,0.000035766952,0.000084674946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000806824,0.00014005245,0.00026662849,0.00016284325,0.00016015416,0.00004799856,0.00014485948,0.00004550123,0.000008490963],"category_scores_gemma":[0.0001443448,0.000118097174,0.00003877008,0.00015085659,0.00011502232,0.00019265516,0.00016525004,0.00033573736,0.0000018980433],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024868269,0.00024834072,0.00016176063,0.000003061657,0.0000023620942,0.00019737516,0.00012290779,0.00027749612,0.9980238,0.00026430335,3.2817536e-7,0.0004495909],"study_design_scores_gemma":[0.011313651,0.06773546,0.2610315,0.00011443546,0.00014607425,0.0042436523,0.0017494381,0.5790132,0.061851133,0.011871998,0.000012214773,0.000917194],"about_ca_topic_score_codex":0.0000072564358,"about_ca_topic_score_gemma":0.000004961675,"teacher_disagreement_score":0.93617266,"about_ca_system_score_codex":0.000029773022,"about_ca_system_score_gemma":0.000024735726,"threshold_uncertainty_score":0.4815863},"labels":[],"label_agreement":null},{"id":"W2886911869","doi":"10.1016/j.cub.2018.06.068","title":"The Claustrum Supports Resilience to Distraction","year":2018,"lang":"en","type":"article","venue":"Current Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":179,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"European Research Council; Erzincan Üniversitesi; Israel Science Foundation","keywords":"Claustrum; Neuroscience; Biology; Sensory system; Nucleus","score_opus":0.04045413980969955,"score_gpt":0.33875471975898586,"score_spread":0.2983005799492863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886911869","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9862575,0.000020117996,0.0011808285,0.002933596,0.008007364,0.00017701685,0.000013875169,0.00005329184,0.0013564363],"genre_scores_gemma":[0.9988163,0.000047712627,0.0000066117955,0.00033356127,0.0003340359,0.0000115490575,0.00000408444,0.0000038302,0.0004422755],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992215,0.00007126765,0.00011941368,0.0002881846,0.00006123897,0.00023840409],"domain_scores_gemma":[0.99952716,0.00014204638,0.000050777882,0.00019441178,0.000026864818,0.00005871691],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011499687,0.00006852156,0.000051857605,0.000026586677,0.00033523788,0.000031920223,0.00017731196,0.000026884434,0.000044158278],"category_scores_gemma":[0.00040148877,0.000042210922,0.000024415911,0.00015961949,0.00023738114,0.000049478476,0.00006757386,0.00010738248,0.00035172477],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000735085,0.000039889892,0.0033210735,0.000002964151,9.022414e-7,0.0000017812439,0.000027636439,0.0000021313053,0.6769131,0.02815917,0.012150044,0.27930778],"study_design_scores_gemma":[0.00008392069,0.00046949377,0.016023248,0.0000064504093,0.0000029347225,0.000031909716,0.0000122474385,0.0005715245,0.07281446,0.0057409755,0.9041133,0.0001295281],"about_ca_topic_score_codex":0.0000048958505,"about_ca_topic_score_gemma":0.000026543426,"teacher_disagreement_score":0.89196324,"about_ca_system_score_codex":0.00002046027,"about_ca_system_score_gemma":0.000015338932,"threshold_uncertainty_score":0.45208275},"labels":[],"label_agreement":null},{"id":"W2887109940","doi":"10.1038/s41583-018-0049-5","title":"Can neocortical feedback alter the sign of plasticity?","year":2018,"lang":"en","type":"review","venue":"Nature reviews. Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto; Canadian Institute for Advanced Research","funders":"","keywords":"Neuroscience; Plasticity; Neuroplasticity; Sign (mathematics); Neocortex; Psychology; Spike-timing-dependent plasticity; Biology; Synaptic plasticity; Physics","score_opus":0.07082293692384116,"score_gpt":0.3461498603259088,"score_spread":0.2753269234020676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887109940","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000020877047,0.99256575,0.00012118906,0.00036344992,0.0035917326,0.0023456442,0.00011634405,0.000060079237,0.0008149086],"genre_scores_gemma":[0.00047201448,0.99456805,0.000035579713,0.00361177,0.0004550326,0.00010829007,0.0000045512397,0.00006054903,0.00068416743],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9942423,0.0011684849,0.0013129928,0.0015790804,0.0009768425,0.0007202918],"domain_scores_gemma":[0.9959542,0.0014671632,0.0011970818,0.001072654,0.00009328043,0.00021561589],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00078815134,0.00072824594,0.0019482268,0.00020603056,0.00039232176,0.00017605507,0.0023816759,0.0005353437,0.00004472347],"category_scores_gemma":[0.007821768,0.00038034565,0.00089154,0.002400848,0.001325383,0.0001924457,0.0004883349,0.0022781047,0.0001531662],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009401142,0.00012044234,0.0000011150537,0.007899136,0.0000038518515,0.000038887676,0.000018019162,0.0000014211386,0.0031222242,0.005997585,0.0073405597,0.97544736],"study_design_scores_gemma":[0.00005801569,0.00019718948,0.000009449566,0.0039536776,0.00020365276,0.00024684778,4.8087514e-7,0.00014101689,0.0002500114,0.00019050877,0.9943808,0.00036839358],"about_ca_topic_score_codex":0.0000035782698,"about_ca_topic_score_gemma":0.000006158511,"teacher_disagreement_score":0.9870402,"about_ca_system_score_codex":0.000075787306,"about_ca_system_score_gemma":0.00033339817,"threshold_uncertainty_score":0.9998649},"labels":[],"label_agreement":null},{"id":"W2888099219","doi":"10.1016/j.cub.2018.06.073","title":"Latent Connectivity: Neuronal Oscillations Can Be Leveraged for Transient Plasticity","year":2018,"lang":"en","type":"letter","venue":"Current Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Biology; Oscillation (cell signaling); Transient (computer programming); Wake; Plasticity; Entrainment (biomusicology); Neuroscience; Range (aeronautics); Mechanics; Physics; Rhythm; Acoustics; Aerospace engineering","score_opus":0.1135769037266369,"score_gpt":0.3073615521121633,"score_spread":0.19378464838552642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888099219","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30704612,0.000041973486,0.012277417,0.6440222,0.025801424,0.0020835309,0.008297195,0.00021457182,0.00021553825],"genre_scores_gemma":[0.5418386,0.0001012728,0.000041980966,0.44716072,0.008069965,0.000294591,0.0017129286,0.000097266704,0.00068269105],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976756,0.00029120315,0.00032100244,0.0009779389,0.00016756708,0.000566675],"domain_scores_gemma":[0.99819684,0.0012062294,0.00020619773,0.00022764815,0.00009298842,0.00007011375],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009838127,0.00034988884,0.0003847179,0.00016815621,0.0003362475,0.00004544324,0.0002755095,0.00041800886,0.00010290218],"category_scores_gemma":[0.0005714332,0.00029850396,0.00022740016,0.00014590385,0.0003197728,0.00003199697,0.00007051602,0.0009709011,0.000020566937],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008103531,0.000111419205,0.00013320956,0.00014279355,0.00002128212,0.000011536807,0.000060811413,0.00004363671,0.104186825,0.001272263,0.8902518,0.0036833528],"study_design_scores_gemma":[0.00048030194,0.00051045744,0.00049759186,0.000022289387,0.000050018705,0.000019178637,6.684775e-7,0.0031710067,0.002255254,0.0013804345,0.99124914,0.00036363813],"about_ca_topic_score_codex":0.000012836028,"about_ca_topic_score_gemma":0.00003748124,"teacher_disagreement_score":0.23479247,"about_ca_system_score_codex":0.00009433357,"about_ca_system_score_gemma":0.00010122527,"threshold_uncertainty_score":0.9999467},"labels":[],"label_agreement":null},{"id":"W2888199448","doi":"10.1162/jocn_a_01323","title":"Error-related Persistence of Motor Activity in Resting-state Networks","year":2018,"lang":"en","type":"article","venue":"Journal of Cognitive Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Psychology; Motor learning; Neuroscience; Putamen; Somatosensory system; Cerebellum; Resting state fMRI; Primary motor cortex; Motor cortex; Brain activity and meditation; Electroencephalography","score_opus":0.05446918095236607,"score_gpt":0.29141225959257033,"score_spread":0.23694307864020425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888199448","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949866,0.00001073328,0.0024436705,0.0001895117,0.0013189667,0.00015643063,0.0000100635225,0.000011137137,0.00087292143],"genre_scores_gemma":[0.9991173,0.000051188297,0.000023605564,0.00050891,0.00006374392,0.0000012691496,8.460768e-8,0.000011245681,0.00022261622],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9978751,0.00039723126,0.00049978186,0.0003487151,0.0005465498,0.00033262416],"domain_scores_gemma":[0.99773794,0.0008537673,0.0008255968,0.00011893481,0.0003415415,0.00012219616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081995555,0.00014742443,0.0002636194,0.00030419804,0.0001476927,0.00004726302,0.00039119806,0.000054449993,0.000013330289],"category_scores_gemma":[0.0055977185,0.00012368707,0.00010335653,0.001186229,0.0009443617,0.0006681552,0.000094114854,0.000518208,0.0000037171912],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030862694,0.0001627496,0.0027840121,0.0000062677277,0.0000010665931,0.000120731136,0.00018567486,0.0005997617,0.9898632,0.00003972278,0.000011412351,0.00591676],"study_design_scores_gemma":[0.0016820455,0.0051220357,0.42757285,0.00057215965,0.000029031764,0.0007159901,0.00012162328,0.2073322,0.35573232,0.0006698465,0.00008727619,0.0003626259],"about_ca_topic_score_codex":0.0000082700835,"about_ca_topic_score_gemma":0.000009538645,"teacher_disagreement_score":0.6341309,"about_ca_system_score_codex":0.00003844876,"about_ca_system_score_gemma":0.00010790886,"threshold_uncertainty_score":0.6701396},"labels":[],"label_agreement":null},{"id":"W2888384152","doi":"10.1016/j.pscychresns.2018.08.014","title":"The effects of a muscarinic receptor 1 gene variant on cortical thickness and surface area in schizophrenia","year":2018,"lang":"en","type":"article","venue":"Psychiatry Research Neuroimaging","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Single-nucleotide polymorphism; Linkage disequilibrium; Schizophrenia (object-oriented programming); Wisconsin Card Sorting Test; Neuroscience; Genotype; Biology; Genetics; Psychology; Gene; Psychiatry; Cognition; Neuropsychology","score_opus":0.04475011034934659,"score_gpt":0.3309871252055329,"score_spread":0.28623701485618636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888384152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99249387,0.00008806177,0.000035147812,0.0044350596,0.0018260907,0.00045248284,0.000004655721,0.0000324302,0.00063222466],"genre_scores_gemma":[0.99891317,0.00024903598,0.00016129043,0.0003702837,0.00015860307,0.0000144079495,5.630294e-7,0.00002666516,0.00010598098],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9968378,0.0010390702,0.0002789168,0.0006259713,0.0006448404,0.00057343603],"domain_scores_gemma":[0.99593097,0.0033153428,0.00006830843,0.00047344467,0.00008840028,0.0001235205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012407147,0.00014913439,0.00016668682,0.00016439894,0.0006005737,0.00015125642,0.00038343295,0.00004736172,0.000009304715],"category_scores_gemma":[0.0030453133,0.000106431165,0.000043114596,0.0008288082,0.0007630581,0.00012199899,0.00024853242,0.0009305112,0.000028459293],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00081221666,0.00017699307,0.008860009,0.00008517131,0.00000404636,0.000032074404,0.0001045657,0.000009454454,0.97466356,0.011150535,0.00047405326,0.0036272954],"study_design_scores_gemma":[0.009370939,0.008733495,0.5097665,0.0013963215,0.000043402917,0.0005407491,0.00034285945,0.19544661,0.22815701,0.041472416,0.0033471554,0.0013825181],"about_ca_topic_score_codex":0.000040162548,"about_ca_topic_score_gemma":0.000053515017,"teacher_disagreement_score":0.7465066,"about_ca_system_score_codex":0.000027073067,"about_ca_system_score_gemma":0.00010929932,"threshold_uncertainty_score":0.46191883},"labels":[],"label_agreement":null},{"id":"W2888432608","doi":"10.3389/fnins.2018.00600","title":"Spatio-Temporal Dynamics of Intrinsic Networks in Functional Magnetic Imaging Data Using Recurrent Neural Networks","year":2018,"lang":"en","type":"article","venue":"Frontiers in Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Microsoft (Canada)","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of General Medical Sciences; National Institutes of Health; National Science Foundation","keywords":"Recurrent neural network; Functional magnetic resonance imaging; Computer science; Dynamics (music); Artificial intelligence; Task (project management); Functional connectivity; Resting state fMRI; Independence (probability theory); Network dynamics; Machine learning; Artificial neural network; Neuroscience; Psychology; Mathematics","score_opus":0.04038446392865466,"score_gpt":0.26484747149706894,"score_spread":0.22446300756841428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888432608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7419746,0.00015675876,0.24105382,0.00033000755,0.015800213,0.00046421148,0.000042519805,0.00005494399,0.00012294661],"genre_scores_gemma":[0.99787134,0.00006932103,0.0010623966,0.00067131897,0.00021887424,0.00000574176,0.00003810812,0.00002610504,0.000036793852],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99685645,0.00025391954,0.00060780434,0.0011614605,0.00047382392,0.00064655324],"domain_scores_gemma":[0.99872756,0.000106539796,0.00027154348,0.0007337021,0.00005546624,0.000105197825],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00054393377,0.00025164784,0.00029919008,0.00047894334,0.00018948645,0.00010872875,0.0010379562,0.00007159042,0.000014289255],"category_scores_gemma":[0.0005429419,0.0002579413,0.00004697639,0.0021439143,0.00090299314,0.00086940965,0.00063918723,0.00048536473,7.567394e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040222247,0.00032346573,0.6663069,0.000030081557,9.973141e-7,0.00012027805,0.00006610163,0.2152008,0.005722479,0.00073110027,0.0019736115,0.10912196],"study_design_scores_gemma":[0.000395383,0.00013938778,0.047251888,0.000040164225,0.0000053241683,0.00004012827,0.000022458415,0.9513569,0.00007884549,0.0002537468,0.00019497973,0.0002208293],"about_ca_topic_score_codex":0.00009889876,"about_ca_topic_score_gemma":0.00031107006,"teacher_disagreement_score":0.73615605,"about_ca_system_score_codex":0.00017828679,"about_ca_system_score_gemma":0.00007655952,"threshold_uncertainty_score":0.9999873},"labels":[],"label_agreement":null},{"id":"W2888488583","doi":"10.1016/j.neuroimage.2018.08.031","title":"Phase shift invariant imaging of coherent sources (PSIICOS) from MEG data","year":2018,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Health and Safety Executive","keywords":"Magnetoencephalography; Coherence (philosophical gambling strategy); Lag; Computer science; Phase lag; Amplitude; Invariant (physics); Mutual coherence; Pattern recognition (psychology); Phase (matter); Physics; Artificial intelligence; Electroencephalography; Algorithm; Statistical physics; Biological system; Mathematics; Optics; Statistics; Mathematical analysis; Quantum mechanics","score_opus":0.07285081879302983,"score_gpt":0.3132534742558319,"score_spread":0.24040265546280204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888488583","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993364,0.000018021243,0.0018284683,0.0008833321,0.00084333745,0.00019390072,0.00057767436,0.00009353229,0.00219774],"genre_scores_gemma":[0.99762225,0.000013472993,0.000155783,0.0017581064,0.00027207626,0.0000030379554,0.000053528238,0.000027916147,0.000093838156],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99829185,0.00014974856,0.00029047378,0.0007348743,0.00027614157,0.0002569139],"domain_scores_gemma":[0.99839145,0.00027365485,0.00018061647,0.0010343726,0.000032041084,0.00008786805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015147091,0.00016424796,0.00018720978,0.000075406126,0.00014936255,0.000111479465,0.00081112626,0.000027429303,0.0003022924],"category_scores_gemma":[0.00050434214,0.00014370393,0.00004475502,0.00021894374,0.00028745137,0.00045829287,0.00052961864,0.0001697418,0.00011518498],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000078802455,0.0002728628,0.00053610274,0.0000072831303,0.0000026787197,0.00005730148,0.00009896979,0.0000012865104,0.99046284,0.0004828499,0.0018522594,0.006146741],"study_design_scores_gemma":[0.0035882134,0.0008117339,0.014932569,0.00005911909,0.00007420617,0.000039368802,0.000045315017,0.14425425,0.80687875,0.0036402454,0.025150301,0.0005259313],"about_ca_topic_score_codex":0.0002168559,"about_ca_topic_score_gemma":0.00004209892,"teacher_disagreement_score":0.18358411,"about_ca_system_score_codex":0.000009678408,"about_ca_system_score_gemma":0.000029168883,"threshold_uncertainty_score":0.5860076},"labels":[],"label_agreement":null},{"id":"W2889831283","doi":"10.1007/978-1-4939-8739-9_15","title":"Use of Synaptoneurosome Samples to Study Development and Plasticity of Human Cortex","year":2018,"lang":"en","type":"book-chapter","venue":"Neuromethods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Plasticity; Neuroscience; Psychology; Materials science; Composite material","score_opus":0.1926518784400506,"score_gpt":0.3432395191724322,"score_spread":0.15058764073238157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889831283","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958253,0.00000337281,0.0005150291,0.000012926389,0.00045977638,0.0007375748,0.00010637931,0.000043271644,0.0022963965],"genre_scores_gemma":[0.9457118,0.000028146847,0.013266773,0.0006067589,0.00010679131,0.000024770907,0.000007888396,0.00017557085,0.040071514],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99756175,0.00020234955,0.000688194,0.0008412274,0.0004887809,0.00021771007],"domain_scores_gemma":[0.9974432,0.0014703319,0.00045694286,0.00038941024,0.00010603707,0.00013410114],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002546351,0.00036267584,0.0006597943,0.00040654192,0.00013382339,0.00003898876,0.00027008489,0.00013136257,0.000141249],"category_scores_gemma":[0.0010242094,0.0003379778,0.000077364275,0.00012294111,0.0002422154,0.00008258196,0.00043112153,0.0002769735,0.000007592335],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010462311,0.00019075573,0.0003032605,0.00010123425,0.00002698082,0.00004455441,0.0003314384,0.0000052393043,0.9860963,0.0053663123,0.000069995345,0.0073592965],"study_design_scores_gemma":[0.0012518934,0.01340183,0.18876253,0.00045082218,0.00034879972,0.00012970774,0.00003333162,0.00020329982,0.7490344,0.0068668085,0.03770217,0.0018143924],"about_ca_topic_score_codex":0.000010879433,"about_ca_topic_score_gemma":0.000011905108,"teacher_disagreement_score":0.23706189,"about_ca_system_score_codex":0.000020100344,"about_ca_system_score_gemma":0.000035341007,"threshold_uncertainty_score":0.9999072},"labels":[],"label_agreement":null},{"id":"W2890804140","doi":"10.1101/405597","title":"Phase resetting in human auditory cortex to visual speech","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network","funders":"National Institute of Neurological Disorders and Stroke; Université de Genève; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Neuroscience; Auditory cortex; Perception; Psychology; Brain activity and meditation; Premovement neuronal activity; Speech perception; Computer science; Communication; Electroencephalography","score_opus":0.026053313569352934,"score_gpt":0.2925241743737648,"score_spread":0.2664708608044119,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890804140","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99354583,0.000021062759,0.00025380304,0.0002460678,0.0043043606,0.0010312246,0.00014474105,0.00040216223,0.000050724728],"genre_scores_gemma":[0.99608326,0.00001803463,0.00056364306,0.0010022493,0.0020014336,0.00014515418,3.7466995e-7,0.00015293901,0.00003292674],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99554497,0.00029933135,0.00074496854,0.0018843726,0.000676399,0.0008499858],"domain_scores_gemma":[0.9976482,0.00014660734,0.00043255894,0.0011473119,0.00024977178,0.00037557655],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00087408716,0.00059902243,0.0005697974,0.0006936664,0.00033623504,0.00035579377,0.0008361731,0.00047965508,0.00009097748],"category_scores_gemma":[0.0011537701,0.0006747365,0.00014245872,0.0009901578,0.00017984502,0.0002134852,0.0009877586,0.0011487821,0.0002662266],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058737107,0.00045340447,0.00052089343,0.00011143591,0.0000086350765,0.00024479933,0.000007271292,0.000023192726,0.9969598,0.00021318728,0.0013906464,0.000007988421],"study_design_scores_gemma":[0.0013103765,0.00055761513,0.022509795,0.00050602126,0.000028575903,5.459641e-8,0.0000019540223,0.0030925684,0.9644208,0.000012173118,0.006463505,0.0010965507],"about_ca_topic_score_codex":0.000066801236,"about_ca_topic_score_gemma":0.000013491292,"teacher_disagreement_score":0.032539,"about_ca_system_score_codex":0.00047392005,"about_ca_system_score_gemma":0.00030403718,"threshold_uncertainty_score":0.99957037},"labels":[],"label_agreement":null},{"id":"W2890955067","doi":"10.1101/408542","title":"Real-world expectations and their affective value modulate object processing","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Institut Universitaire de France","keywords":"Affect (linguistics); Object (grammar); Psychology; Context (archaeology); Cognitive psychology; Precuneus; Cognitive neuroscience of visual object recognition; Value (mathematics); Sensory system; Cognition; Neuroscience; Computer science; Communication; Artificial intelligence; Machine learning","score_opus":0.01931764331808145,"score_gpt":0.243330030466068,"score_spread":0.22401238714798655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890955067","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949839,0.00019285652,0.0017347768,0.00018876049,0.0011256658,0.0009110032,0.00015712876,0.0005834851,0.00012238482],"genre_scores_gemma":[0.9978502,0.00015209074,0.00093353604,0.0002041462,0.00051680865,0.00019214518,2.319998e-7,0.00013150445,0.000019378469],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9970187,0.00027132194,0.00038839775,0.0014918047,0.00031034954,0.00051944394],"domain_scores_gemma":[0.99809283,0.00020756644,0.00043697172,0.0007737593,0.00027497142,0.00021390097],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030798867,0.00056201743,0.00048313488,0.00041365754,0.0005289642,0.00048697364,0.00037863592,0.00027182166,0.000013072484],"category_scores_gemma":[0.00039613064,0.00053237565,0.00011950793,0.00077646086,0.00029467948,0.00031573445,0.0004938671,0.00066064246,0.000030218505],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002474481,0.000091174305,0.00042335683,0.00020749005,0.000025665515,0.000013017339,0.00007479672,0.00007640545,0.9976854,0.0013204238,0.000031514577,0.000026066227],"study_design_scores_gemma":[0.00039141206,0.00012138617,0.050604086,0.0005651063,0.00007456253,4.3836966e-8,0.000012899089,0.04903175,0.89785886,0.00013129761,0.00021542583,0.0009931871],"about_ca_topic_score_codex":0.00006916315,"about_ca_topic_score_gemma":0.000012436946,"teacher_disagreement_score":0.0998265,"about_ca_system_score_codex":0.00024393115,"about_ca_system_score_gemma":0.00030926397,"threshold_uncertainty_score":0.99971277},"labels":[],"label_agreement":null},{"id":"W2890960358","doi":"10.1142/s0129065718500417","title":"Coupled Oscillators Model of Hyperexcitable Neuroglial Networks","year":2018,"lang":"en","type":"article","venue":"International Journal of Neural Systems","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Neuromodulation; Neuroscience; Computer science; Context (archaeology); Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Microglia; Central pattern generator; Physics; Rhythm; Biology; Central nervous system","score_opus":0.03752339544573023,"score_gpt":0.2700963932565265,"score_spread":0.23257299781079627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890960358","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9826579,0.00003797266,0.0061703785,0.0003274617,0.010069177,0.00010402159,0.000016378382,0.00001653957,0.0006001539],"genre_scores_gemma":[0.99769765,0.000032778116,0.000042023352,0.0003129985,0.0015275741,0.0000013104607,7.897557e-7,0.000017479555,0.00036737352],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99808294,0.00008916194,0.00068534515,0.00018012829,0.0007765799,0.00018584971],"domain_scores_gemma":[0.9982484,0.00016359528,0.0007280074,0.00012368942,0.00064088247,0.00009545013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024218869,0.00013052457,0.00025167596,0.00018280902,0.00006492195,0.000096954,0.00056386983,0.000059098034,0.00002006938],"category_scores_gemma":[0.0002941328,0.000102427795,0.00015133296,0.00015785597,0.00012435057,0.0003707273,0.000074612384,0.00019625649,0.000006850569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039436328,0.00008073883,0.001063288,0.000008894746,0.000033329823,0.00005955268,0.000053733103,0.22284946,0.77130014,0.0025319515,0.00068537256,0.0009391784],"study_design_scores_gemma":[0.0005207372,0.0003321407,0.00024300051,0.00004378558,0.000010990879,0.00052029296,0.000013474996,0.9908452,0.0067758076,0.00017522492,0.00042851173,0.00009081428],"about_ca_topic_score_codex":0.00003474525,"about_ca_topic_score_gemma":0.000002861722,"teacher_disagreement_score":0.7679958,"about_ca_system_score_codex":0.00005949428,"about_ca_system_score_gemma":0.000046954105,"threshold_uncertainty_score":0.41768843},"labels":[],"label_agreement":null},{"id":"W2891084233","doi":"10.1016/j.brainres.2018.09.021","title":"Macromolecule-suppressed GABA measurements correlate more strongly with behavior than macromolecule-contaminated GABA+ measurements","year":2018,"lang":"en","type":"article","venue":"Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hotchkiss Brain Institute; Alberta Children's Hospital; University of Calgary","funders":"Tufts University School of Medicine; National Institutes of Health; National Institute of Biomedical Imaging and Bioengineering; National Institute of Mental Health; Johns Hopkins University","keywords":"Neurochemical; Neuroscience; gamma-Aminobutyric acid; Neurotransmitter; Orientation (vector space); Visual cortex; Chemistry; Psychology; Central nervous system; Biochemistry; Mathematics; Receptor","score_opus":0.14679026362100853,"score_gpt":0.3650438637270069,"score_spread":0.2182536001059984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891084233","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9875602,0.00002358288,0.00043263505,0.0014089685,0.0005501317,0.0019438765,0.00012927728,0.00020725404,0.0077440636],"genre_scores_gemma":[0.9919196,0.000005736921,0.00018873844,0.0005444679,0.0001582422,0.00029562405,0.00004651939,0.00013409242,0.0067070215],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99134475,0.0012422433,0.00050137093,0.0014939237,0.0037350329,0.0016826608],"domain_scores_gemma":[0.9969217,0.00036102536,0.00018444173,0.0010198399,0.0010385433,0.00047443088],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020209916,0.0004919955,0.00037932716,0.00051363115,0.0010338001,0.00043469993,0.0011165066,0.00022191629,0.00045210388],"category_scores_gemma":[0.0014863312,0.0004152486,0.00013244613,0.0015284241,0.0010435637,0.0003937262,0.00041675178,0.0009996861,0.0005027942],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007354227,0.0004960367,0.006444598,0.00003463694,0.000038122063,0.00038742716,0.0002620116,0.000013917879,0.9850409,0.00011785872,0.0038262992,0.0026027758],"study_design_scores_gemma":[0.004686636,0.0033456676,0.06635427,0.00025441346,0.000067182744,0.00023670541,0.00021705944,0.0040070326,0.9172288,0.00011702444,0.002570922,0.00091428985],"about_ca_topic_score_codex":0.00020044643,"about_ca_topic_score_gemma":0.00040547186,"teacher_disagreement_score":0.06781209,"about_ca_system_score_codex":0.00031602784,"about_ca_system_score_gemma":0.00025642719,"threshold_uncertainty_score":0.99982995},"labels":[],"label_agreement":null},{"id":"W2891111388","doi":"10.1002/ana.25325","title":"Low‐voltage fast seizures in humans begin with increased interneuron firing","year":2018,"lang":"en","type":"article","venue":"Annals of Neurology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":129,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute of Neurological Disorders and Stroke; National Institutes of Health; CURE Childhood Cancer","keywords":"Inhibitory postsynaptic potential; Excitatory postsynaptic potential; Neuroscience; Interneuron; Neuron; Bursting; Epilepsy; Temporal lobe; Entorhinal cortex; Electrophysiology; Biology; Hippocampus; Medicine; Psychology","score_opus":0.04611473680235645,"score_gpt":0.2950384085408114,"score_spread":0.24892367173845498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891111388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99614,0.000005528332,0.00010324911,0.00177739,0.00022308191,0.00014060002,0.0000092505325,0.000042768843,0.0015581137],"genre_scores_gemma":[0.98924917,0.000021300215,0.0000049326504,0.010492633,0.00008812088,0.000007400701,0.0000018882505,0.000021932277,0.00011261134],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99865174,0.00015784292,0.00023756697,0.00046325324,0.0001554421,0.00033417673],"domain_scores_gemma":[0.99927366,0.0002168827,0.00013117483,0.0002732118,0.000047367295,0.0000577298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012415963,0.00014931554,0.0002079038,0.00020863407,0.00005905218,0.000017512686,0.00026759188,0.00006766924,0.000054041073],"category_scores_gemma":[0.00022251047,0.0001269094,0.000043402397,0.00026237319,0.0003388601,0.00013915548,0.000105600426,0.00023885249,0.000028068516],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012324275,0.00029471455,0.019944027,0.00003995662,0.0000055675036,0.0005325113,0.00023217041,0.000179633,0.9710325,0.0016445016,0.00094283815,0.0039191395],"study_design_scores_gemma":[0.0014586402,0.009655898,0.26487297,0.00006962616,0.000010229301,0.00020182278,0.000014761198,0.008201183,0.70519954,0.0025270267,0.00733895,0.00044939097],"about_ca_topic_score_codex":0.00012186531,"about_ca_topic_score_gemma":0.00043035974,"teacher_disagreement_score":0.265833,"about_ca_system_score_codex":0.0000027781539,"about_ca_system_score_gemma":0.000016630996,"threshold_uncertainty_score":0.5175215},"labels":[],"label_agreement":null},{"id":"W2891314364","doi":"10.1016/j.tics.2018.08.005","title":"Process-Specific Alliances (PSAs) in Cognitive Neuroscience","year":2018,"lang":"en","type":"review","venue":"Trends in Cognitive Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"National Institute on Aging","keywords":"Cognition; Psychology; Process (computing); Task (project management); Cognitive science; Cognitive neuroscience; Neuroscience; Resting state fMRI; Cognitive psychology; Functional connectivity; Computer science","score_opus":0.4167645258673752,"score_gpt":0.47628974724673756,"score_spread":0.059525221379362336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891314364","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004655382,0.9433296,0.000049838432,0.00014744881,0.0029370396,0.0014105628,0.00044198168,0.00016740123,0.046860747],"genre_scores_gemma":[0.036882553,0.9608757,0.000015703048,0.000462694,0.00023046903,0.00028958535,0.000027367616,0.00004238119,0.0011735555],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9930214,0.0006549872,0.0010256429,0.0029856416,0.0011612977,0.0011510301],"domain_scores_gemma":[0.9968864,0.001901747,0.00068381714,0.00023684355,0.00012892876,0.00016228549],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0013125805,0.0007721352,0.0013356543,0.0021715898,0.0004927214,0.0004006361,0.0014216714,0.00026488717,0.00030313095],"category_scores_gemma":[0.0019122267,0.0005973438,0.00029175298,0.010413117,0.00380438,0.0010338625,0.00026635852,0.00088998856,0.000160705],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024760726,0.00021349145,0.00012781691,0.00040116417,0.0000020332739,0.00015102267,0.00019269751,0.00000299875,0.000023838116,0.00023048301,0.000097557386,0.9985321],"study_design_scores_gemma":[0.004065595,0.005296375,0.003524874,0.1131673,0.0004347344,0.0008480082,0.0021874867,0.0038452707,0.0016136528,0.00836615,0.8482829,0.008367683],"about_ca_topic_score_codex":0.00001727707,"about_ca_topic_score_gemma":0.00018104882,"teacher_disagreement_score":0.99016446,"about_ca_system_score_codex":0.00012105499,"about_ca_system_score_gemma":0.00037924014,"threshold_uncertainty_score":0.9996478},"labels":[],"label_agreement":null},{"id":"W2891772748","doi":"10.1016/j.conb.2018.08.003","title":"Dendritic solutions to the credit assignment problem","year":2018,"lang":"en","type":"review","venue":"Current Opinion in Neurobiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":164,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto; Canadian Institute for Advanced Research","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Neuroscience; Synaptic plasticity; Plasticity; Computer science; Spike-timing-dependent plasticity; Biology; Receptor; Physics","score_opus":0.20155063873533025,"score_gpt":0.3877678389423267,"score_spread":0.18621720020699645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891772748","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000084641015,0.94370717,0.0003973154,0.0010004031,0.051714346,0.0026033407,0.00024606695,0.00009488162,0.00022799126],"genre_scores_gemma":[0.000034322802,0.99719363,0.000011866384,0.00021935739,0.0015504161,0.000710124,0.000106201886,0.000041565618,0.00013252338],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.996322,0.0010872082,0.0007302528,0.0010358423,0.0001673768,0.00065736636],"domain_scores_gemma":[0.9982685,0.0007280169,0.00028339057,0.0005782637,0.000032826436,0.000108987595],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003434769,0.00041291097,0.00071555405,0.00031077222,0.00026623707,0.000066059496,0.00083336234,0.00019731518,0.00005734976],"category_scores_gemma":[0.00046960084,0.00026740358,0.00026811028,0.00073784415,0.00019947554,0.00005884851,0.00053305516,0.00077192305,0.0008860326],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013319439,0.0003672958,0.000004651101,0.0061197714,0.000012250232,0.0000035766525,0.000052216536,0.00005238743,0.00010452773,0.012957407,0.13238129,0.8479313],"study_design_scores_gemma":[0.00008924324,0.00023551483,0.0000055429027,0.0031483453,0.000025531728,0.00008538528,0.000001244294,0.00006381835,0.0000024579651,0.00025386122,0.99583066,0.00025841256],"about_ca_topic_score_codex":0.0000025973761,"about_ca_topic_score_gemma":0.0000048485126,"teacher_disagreement_score":0.86344934,"about_ca_system_score_codex":0.00014971489,"about_ca_system_score_gemma":0.00014841936,"threshold_uncertainty_score":0.9999778},"labels":[],"label_agreement":null},{"id":"W2892242726","doi":"10.48550/arxiv.1810.11393","title":"Dendritic cortical microcircuits approximate the backpropagation algorithm","year":2018,"lang":"en","type":"preprint","venue":"Bern Open Repository and Information System (University of Bern)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Horizon 2020 Framework Programme; Natural Sciences and Engineering Research Council of Canada; European Commission; Canada Research Chairs; Canadian Institute for Advanced Research; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Backpropagation; Computer science; Neuroscience; Artificial neural network; Artificial intelligence; Deep learning; Biological neural network; Machine learning; Psychology","score_opus":0.020595776362039794,"score_gpt":0.2106922147391168,"score_spread":0.19009643837707701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892242726","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8951433,0.00002884827,0.047044396,0.00039234516,0.0025077306,0.0026252714,0.00029883537,0.00014543513,0.051813856],"genre_scores_gemma":[0.997877,0.000024649375,0.00048570812,0.00012305575,0.00007353142,0.0000037409873,0.00005776911,0.000008607114,0.0013459221],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99855596,0.0002714035,0.0003731158,0.0002987222,0.0003395753,0.00016123371],"domain_scores_gemma":[0.9985342,0.00009734989,0.0006874848,0.00038944965,0.0002132728,0.0000782493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042716775,0.00017513783,0.00028159234,0.0000948386,0.0008889368,0.0004358082,0.00069203315,0.00019913419,0.000014673177],"category_scores_gemma":[0.000024889707,0.00015910596,0.00008869682,0.00012814009,0.0002659218,0.0018011879,0.0010733507,0.0003009682,0.00005665084],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0043313853,0.0012198996,0.010117159,0.034188002,0.0014824279,0.0006315281,0.09497857,0.0021060267,0.27555096,0.26851788,0.024774149,0.28210202],"study_design_scores_gemma":[0.005400783,0.0008606888,0.035518028,0.0037092818,0.0008490255,0.0026959176,0.027800538,0.84495425,0.05255431,0.0010676911,0.02211287,0.0024766112],"about_ca_topic_score_codex":0.00025364163,"about_ca_topic_score_gemma":0.0000036373542,"teacher_disagreement_score":0.84284824,"about_ca_system_score_codex":0.00010820927,"about_ca_system_score_gemma":0.00009158226,"threshold_uncertainty_score":0.6837073},"labels":[],"label_agreement":null},{"id":"W2893054527","doi":"10.1523/jneurosci.3506-17.2018","title":"Neural Classifiers with Limited Connectivity and Recurrent Readouts","year":2018,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Columbia College","funders":"Gatsby Charitable Foundation; Kavli Foundation; Simons Foundation; Agence Nationale de la Recherche; National Science Foundation","keywords":"Perceptron; Computer science; Artificial intelligence; Artificial neural network; Biological neural network; Feed forward; Pattern recognition (psychology); Machine learning","score_opus":0.054615893594470374,"score_gpt":0.2793321930291695,"score_spread":0.22471629943469912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2893054527","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957134,0.000009571214,0.000668764,0.0015453115,0.0015418383,0.000086513646,0.000002921923,0.000019168518,0.00041249604],"genre_scores_gemma":[0.9976394,0.000045238052,0.00008568212,0.0019429112,0.00015427785,6.856026e-7,4.2447926e-8,0.000009420298,0.00012233453],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99858487,0.0001322408,0.00024385407,0.00032691553,0.0004595981,0.00025254517],"domain_scores_gemma":[0.99896985,0.00020820185,0.00035095616,0.00015111611,0.0001375952,0.00018226488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002702487,0.00012888563,0.00016835696,0.00015791414,0.00025736194,0.00014359145,0.0002549114,0.000030184749,0.0000041956328],"category_scores_gemma":[0.0010491615,0.000085644744,0.000040908566,0.0005540579,0.0007173206,0.00061057747,0.00006493032,0.00028884097,0.0000021704743],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026359432,0.00006347862,0.0015497818,0.0000047367203,6.282249e-7,0.000094421746,0.00007233444,0.000018998668,0.9896424,0.0004114884,0.00017614382,0.0077020293],"study_design_scores_gemma":[0.0031231213,0.025339136,0.55268496,0.00021422534,0.00007000548,0.013842492,0.00014910992,0.14304253,0.24352522,0.0016518979,0.015439927,0.0009173665],"about_ca_topic_score_codex":0.0000018095865,"about_ca_topic_score_gemma":0.000004570995,"teacher_disagreement_score":0.7461171,"about_ca_system_score_codex":0.0000257527,"about_ca_system_score_gemma":0.00005446184,"threshold_uncertainty_score":0.34924912},"labels":[],"label_agreement":null},{"id":"W2893354866","doi":"10.1002/hbm.24378","title":"Cognitive loading via mental arithmetic modulates effects of blink‐related oscillations on precuneus and ventral attention network regions","year":2018,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fraser Health; Surrey Memorial Hospital; Simon Fraser University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Down Syndrome Research Foundation","keywords":"Precuneus; Psychology; Neurocognitive; Cognition; Neuroscience; Middle frontal gyrus; Cognitive psychology; Magnetoencephalography; Fixation (population genetics); Lingual gyrus; Superior frontal gyrus; Audiology; Electroencephalography; Medicine","score_opus":0.02631007550231454,"score_gpt":0.2638259655472805,"score_spread":0.23751589004496595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2893354866","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99508154,0.000021704118,0.0025900558,0.00036817134,0.0005243509,0.00051514263,0.0000054399325,0.00007739923,0.0008161987],"genre_scores_gemma":[0.999025,0.000006471076,0.000048427777,0.0003295389,0.00015478539,0.0000124479975,0.000018390383,0.00001929521,0.00038563786],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987074,0.0001716307,0.0002564397,0.000400796,0.00018034953,0.0002833925],"domain_scores_gemma":[0.99902695,0.0005606215,0.00017810354,0.00012491418,0.000043612097,0.00006580431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017237473,0.00015184277,0.00016430183,0.00016304279,0.00072434504,0.000054300894,0.0000756983,0.0000727815,0.000018388986],"category_scores_gemma":[0.0002837895,0.0001538757,0.00006692442,0.0003744153,0.00027128446,0.00014669604,0.000062407074,0.00016132892,0.00001523927],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021881735,0.000064667765,0.0012189813,0.000047931582,0.000020474985,0.0000073515334,0.0005222827,0.00010853607,0.9881521,0.008571935,0.00018743648,0.0010764383],"study_design_scores_gemma":[0.0048000626,0.0029842188,0.5890741,0.003398031,0.00017208004,0.0001612791,0.0002427757,0.24346697,0.061105702,0.09298572,0.00043048797,0.0011786082],"about_ca_topic_score_codex":0.000008509158,"about_ca_topic_score_gemma":0.0000070003643,"teacher_disagreement_score":0.92704636,"about_ca_system_score_codex":0.000036485802,"about_ca_system_score_gemma":0.00000679389,"threshold_uncertainty_score":0.62748694},"labels":[],"label_agreement":null},{"id":"W2893594731","doi":"10.1016/j.dcn.2018.09.001","title":"Alpha keeps it together: Alpha oscillatory synchrony underlies working memory maintenance in young children","year":2018,"lang":"en","type":"article","venue":"Developmental Cognitive Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Canadian Institutes of Health Research; Hospital for Sick Children","keywords":"Magnetoencephalography; Psychology; Working memory; Lateralization of brain function; Alpha (finance); Neuroscience; Cognition; Electroencephalography; Audiology; Cognitive psychology; Developmental psychology","score_opus":0.03486997394285874,"score_gpt":0.2624362624914894,"score_spread":0.22756628854863065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2893594731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97504115,0.000018338922,0.0006768507,0.0003323883,0.0018552911,0.0006346582,0.000029881583,0.00015191021,0.02125952],"genre_scores_gemma":[0.9888931,0.00008398814,0.00014637757,0.009406301,0.00013028477,0.00004781032,0.000005665372,0.00004616687,0.0012403051],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99600744,0.0002318457,0.00049405254,0.0015026828,0.00079681777,0.00096713105],"domain_scores_gemma":[0.998987,0.00030739748,0.0002067814,0.00020886303,0.000098522025,0.00019141671],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00046744145,0.0004193025,0.00029607225,0.00034329298,0.00078375643,0.00023686331,0.00066062005,0.00009932699,0.00008285298],"category_scores_gemma":[0.0012427559,0.0004033844,0.000080598635,0.0015016539,0.0015125051,0.00070880156,0.0004572806,0.0004249451,0.00022568363],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022630443,0.0002819448,0.17934383,0.00001815201,0.0000063365733,0.00021136437,0.0018678242,0.000011929412,0.7882284,0.00070784497,0.000560386,0.02853571],"study_design_scores_gemma":[0.0016575832,0.0004600987,0.7567384,0.00040801012,0.000013366832,0.00082493294,0.0010481108,0.0029885871,0.23303656,0.0005389246,0.001083788,0.0012016059],"about_ca_topic_score_codex":0.000058261063,"about_ca_topic_score_gemma":0.00038212226,"teacher_disagreement_score":0.5773946,"about_ca_system_score_codex":0.00028703484,"about_ca_system_score_gemma":0.00022028245,"threshold_uncertainty_score":0.9998418},"labels":[],"label_agreement":null},{"id":"W2893791175","doi":"10.1002/hbm.24393","title":"Changes in EEG multiscale entropy and power‐law frequency scaling during the human sleep cycle","year":2018,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":203,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electroencephalography; Statistical physics; Spectral density; Scaling; Entropy (arrow of time); Psychology; Rhythm; Sleep Stages; Neuroscience; Slow-wave sleep; Power law; Nonlinear system; Physics; Mathematics; Artificial intelligence; Computer science; Statistics; Acoustics; Polysomnography; Quantum mechanics","score_opus":0.023404153456839705,"score_gpt":0.2573882122524879,"score_spread":0.2339840587956482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2893791175","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99446386,0.00002029309,0.00006808989,0.0016853259,0.00023582904,0.00030192,0.000004633219,0.00009994774,0.0031200922],"genre_scores_gemma":[0.99734414,0.0000035095863,0.000051194496,0.0019300398,0.00023068681,0.000021954042,0.0000020891907,0.000027773309,0.00038862854],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99838537,0.0001645002,0.00025368767,0.0005350469,0.00021494845,0.0004464727],"domain_scores_gemma":[0.99932563,0.00016774521,0.00011291642,0.00030293595,0.000022614691,0.00006814163],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00033907747,0.0001871743,0.00016743668,0.00014597506,0.001427544,0.00018398512,0.0002632739,0.0000672083,0.00011536841],"category_scores_gemma":[0.00013809332,0.00015464523,0.000041991636,0.0002485944,0.0004090954,0.00020238062,0.00017881667,0.00026178246,0.000021785456],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003460772,0.000022670414,0.003116511,0.00002192674,0.00000226619,0.00001769691,0.0011757433,0.00001041767,0.9660208,0.02937234,0.000013547304,0.00022259509],"study_design_scores_gemma":[0.0022084569,0.0003283537,0.86591166,0.0003619469,0.000011049219,0.00009766741,0.0010282245,0.007960876,0.08350677,0.035608463,0.0020298394,0.0009467059],"about_ca_topic_score_codex":0.00020823196,"about_ca_topic_score_gemma":0.0011144255,"teacher_disagreement_score":0.88251406,"about_ca_system_score_codex":0.00006185554,"about_ca_system_score_gemma":0.0000037285336,"threshold_uncertainty_score":0.99987245},"labels":[],"label_agreement":null},{"id":"W2894022101","doi":"10.1101/427302","title":"Macaque anterior cingulate cortex deactivation impairs performance and alters lateral prefrontal oscillatory activities in a rule-switching task","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Robarts Clinical Trials","funders":"Canadian Institutes of Health Research","keywords":"Dorsolateral prefrontal cortex; Macaque; Anterior cingulate cortex; Neuroscience; Psychology; Prefrontal cortex; Stimulus (psychology); Cognition; Error-related negativity; Dorsum; Local field potential; Cognitive psychology; Biology; Anatomy","score_opus":0.010486462448732576,"score_gpt":0.20985685764171352,"score_spread":0.19937039519298094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2894022101","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969107,0.000046524947,0.0001923545,0.00006287685,0.0017026126,0.0007235226,0.0000903594,0.0002607183,0.000010361934],"genre_scores_gemma":[0.9986093,0.00023620889,0.0003121482,0.00031577953,0.00031216274,0.000096263175,3.629975e-7,0.00011095764,0.0000068165987],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99686944,0.00018945527,0.00057406496,0.0013286015,0.00039909987,0.0006393242],"domain_scores_gemma":[0.99852663,0.00009501944,0.0005272295,0.0005995727,0.00006987508,0.00018168571],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040013064,0.0005936274,0.0005498013,0.00047498546,0.00029640528,0.00036986885,0.0003378161,0.00037528697,0.000011469745],"category_scores_gemma":[0.00013930253,0.00061644614,0.00009874444,0.00031291996,0.00019038896,0.0007757309,0.0005249637,0.00089623634,0.000010324663],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014538741,0.000056909725,0.030798906,0.0002835686,0.000016075914,0.000036645066,0.000052952724,0.000045418845,0.9684999,0.000031105683,0.000008486657,0.000024656005],"study_design_scores_gemma":[0.00067574723,0.0001699847,0.7046972,0.0008791558,0.000028429844,3.9614562e-7,0.000005080181,0.028798677,0.2637779,0.000007333011,0.00013595592,0.0008241213],"about_ca_topic_score_codex":0.000121719226,"about_ca_topic_score_gemma":0.000015866797,"teacher_disagreement_score":0.704722,"about_ca_system_score_codex":0.00045119095,"about_ca_system_score_gemma":0.0001915017,"threshold_uncertainty_score":0.99962866},"labels":[],"label_agreement":null},{"id":"W2894031267","doi":"10.1167/18.10.106","title":"Functional and anatomical characterization of visual working memory coding","year":2018,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials; McGill University","funders":"","keywords":"Neuroscience; Sensory system; Working memory; Visual cortex; Encoding (memory); Prefrontal cortex; Population; Coding (social sciences); Psychology; Visual processing; Neural coding; Visual memory; Biology; Perception; Cognition; Medicine","score_opus":0.028947987355547152,"score_gpt":0.2904686975411353,"score_spread":0.26152071018558815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2894031267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961299,0.000005501379,0.002629453,0.000233962,0.0008334632,0.000031571406,8.6448074e-7,0.000004682299,0.00013065188],"genre_scores_gemma":[0.99926424,0.000042142594,0.00006398719,0.0001829927,0.00039131686,1.1553562e-7,7.444609e-7,0.000005624889,0.000048831287],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99927443,0.000051439692,0.0002627427,0.00009548952,0.00024330716,0.0000726119],"domain_scores_gemma":[0.9994257,0.00009096936,0.00031336682,0.000037464877,0.0000882842,0.000044187058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023588211,0.000052784628,0.00010917299,0.00013098458,0.00008367203,0.000029557908,0.000046668894,0.000036628924,0.000051228064],"category_scores_gemma":[0.00015495748,0.000041091716,0.000038343052,0.00014020299,0.000076089884,0.00024011212,0.00003278337,0.00010501981,0.0000031604468],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016950045,0.000039052873,0.00055992475,0.0000049094315,0.0000018088826,0.0000036591596,0.000030328694,0.000002509594,0.9804639,0.00029424616,0.000047188685,0.018382968],"study_design_scores_gemma":[0.00089315197,0.0014782974,0.29759184,0.00022299214,0.000019753572,0.00030434458,0.000028593702,0.03058755,0.6674397,0.000482816,0.0008307436,0.000120215635],"about_ca_topic_score_codex":3.907743e-7,"about_ca_topic_score_gemma":2.418174e-7,"teacher_disagreement_score":0.3130242,"about_ca_system_score_codex":0.000018578534,"about_ca_system_score_gemma":0.000017085702,"threshold_uncertainty_score":0.16756716},"labels":[],"label_agreement":null},{"id":"W2894342472","doi":"10.1016/j.cub.2018.07.066","title":"Medial prefrontal cortex supports perceptual memory","year":2018,"lang":"en","type":"letter","venue":"Current Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Krembil Foundation","funders":"","keywords":"Perception; Sensory system; Neuroscience; Prefrontal cortex; Cognitive psychology; Psychology; Sensory memory; Visual perception; Episodic memory; Visual memory; Working memory; Cognition","score_opus":0.046927749910651795,"score_gpt":0.29615151206844015,"score_spread":0.24922376215778835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2894342472","genre_codex":"empirical","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54281914,0.00053155335,0.00020794707,0.2661557,0.17464586,0.0020319717,0.002388796,0.00074162876,0.01047742],"genre_scores_gemma":[0.11545167,0.0006237704,0.000032239313,0.79535717,0.07029871,0.00016698817,0.0068074553,0.00019974027,0.011062282],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973263,0.00030950338,0.00036930628,0.00110143,0.00023745735,0.000655975],"domain_scores_gemma":[0.99897355,0.00022127411,0.0002427791,0.0004302841,0.000047112786,0.000085006446],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00010278328,0.00040509782,0.00041953966,0.00016452497,0.00014922218,0.000037328595,0.0005050684,0.000788981,0.0020271318],"category_scores_gemma":[0.00023631741,0.000327266,0.00019649969,0.00010292867,0.0007521834,0.00007261485,0.00024512789,0.001549283,0.0010432828],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019215016,0.000026610214,0.00008974421,0.000034956454,0.000004788554,0.000079173995,0.00005172293,4.2211997e-8,0.05154115,0.000042123913,0.93958044,0.00853006],"study_design_scores_gemma":[0.00024306505,0.00037536005,0.00067951035,0.000022038112,0.000028877741,0.00011951257,0.0000035306273,0.000086601394,0.00090798386,0.0005390268,0.99658895,0.0004055335],"about_ca_topic_score_codex":0.000009133642,"about_ca_topic_score_gemma":0.000009242837,"teacher_disagreement_score":0.52920145,"about_ca_system_score_codex":0.00008299394,"about_ca_system_score_gemma":0.00010387287,"threshold_uncertainty_score":0.9999179},"labels":[],"label_agreement":null},{"id":"W2894752643","doi":"10.1007/s00429-018-1769-z","title":"Disinhibition of the prefrontal cortex leads to brain-wide increases in neuronal activation that are modified by spatial learning","year":2018,"lang":"en","type":"article","venue":"Brain Structure and Function","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Disinhibition; Neuroscience; Prefrontal cortex; Spatial learning; Neurology; Psychology; Cognitive psychology; Cognition","score_opus":0.012771387339965579,"score_gpt":0.21934884588134126,"score_spread":0.20657745854137569,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2894752643","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941712,0.0000045772367,0.0028673124,0.00201695,0.0003925487,0.00032966014,0.000042339732,0.000032563228,0.00014284873],"genre_scores_gemma":[0.9952391,0.0000022091767,0.000007216898,0.0042206566,0.00017201003,0.0000076186584,0.000034660145,0.00001641783,0.00030010575],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987272,0.00020268177,0.00019319898,0.0004060292,0.00028741657,0.00018348532],"domain_scores_gemma":[0.9991838,0.0004004905,0.00018471065,0.00014063904,0.000037586073,0.000052771662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000967871,0.00015838855,0.00014393275,0.000098473254,0.0002428838,0.000050121413,0.000084522275,0.0000974724,0.000052027353],"category_scores_gemma":[0.0010407285,0.0001196088,0.00004199286,0.00030794163,0.00012888099,0.00026401973,0.0000709208,0.00022880755,0.0000017583102],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039114914,0.000027020113,0.02407988,0.000013661745,0.000002032628,4.4066567e-7,0.000093318165,0.00019835866,0.96526575,0.00022757988,0.001811909,0.007888913],"study_design_scores_gemma":[0.0005406492,0.00043406404,0.82008535,0.000048861006,0.00000818164,0.000009078104,0.000051143546,0.0028362225,0.17329033,0.0009028049,0.0016480319,0.00014531985],"about_ca_topic_score_codex":0.00023646287,"about_ca_topic_score_gemma":0.00035994066,"teacher_disagreement_score":0.7960054,"about_ca_system_score_codex":0.00004330503,"about_ca_system_score_gemma":0.000018481816,"threshold_uncertainty_score":0.48775053},"labels":[],"label_agreement":null},{"id":"W2894782055","doi":"10.1007/s00422-018-0782-x","title":"Non-monotonic accumulation of spike time variance during membrane potential oscillations","year":2018,"lang":"en","type":"article","venue":"Biological Cybernetics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Ottawa","keywords":"Oscillation (cell signaling); Amplitude; Spike (software development); Nonlinear system; Variance (accounting); Statistical physics; Biological system; Range (aeronautics); Phase (matter); Neural coding; Poisson distribution; Mathematics; Physics; Statistics; Neuroscience; Computer science; Biology; Materials science","score_opus":0.0521697211657192,"score_gpt":0.28793191333036106,"score_spread":0.23576219216464187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2894782055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99529076,0.000004605596,0.00097392104,0.000114029346,0.00030417048,0.00019823323,0.000018434375,0.000055934608,0.0030399421],"genre_scores_gemma":[0.9983087,0.000033364286,0.00039207662,0.000115443894,0.00021630515,0.000004060337,0.0000073204887,0.000008169087,0.0009145297],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99900043,0.000054814107,0.000252824,0.00032808082,0.00015541512,0.00020845316],"domain_scores_gemma":[0.9994512,0.00009956199,0.00013340804,0.00019618984,0.000065309265,0.000054319244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009188945,0.00011473404,0.00014627454,0.000046257694,0.00014206587,0.000024353467,0.00016955602,0.000122066274,0.00030887374],"category_scores_gemma":[0.00027192518,0.00008880272,0.00006389642,0.00024382975,0.0002334457,0.00006597293,0.00009697187,0.000092878596,0.00015584058],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050415696,0.00004384194,0.00046082036,0.0000036836664,0.000001903312,0.0000025863392,0.0000153778,0.00045653176,0.9975664,0.0010327224,0.00001942445,0.00034630692],"study_design_scores_gemma":[0.0005814479,0.00066747976,0.19070512,0.00001918822,0.000015573327,0.000024728684,0.0000035196172,0.119150154,0.6852566,0.0024114233,0.0008892707,0.00027547238],"about_ca_topic_score_codex":0.000008145175,"about_ca_topic_score_gemma":0.0000017597248,"teacher_disagreement_score":0.31230974,"about_ca_system_score_codex":0.000022105874,"about_ca_system_score_gemma":0.000013697974,"threshold_uncertainty_score":0.362127},"labels":[],"label_agreement":null},{"id":"W2895248156","doi":"10.1371/journal.pone.0205161","title":"Why is the environment important for decision making? Local reservoir model for choice-based learning","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Ottawa","funders":"Core Research for Evolutional Science and Technology; Japan Science and Technology Agency; Japan Society for the Promotion of Science; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Consistency (knowledge bases); Computer science; Decision analysis; Artificial intelligence; Mathematics; Statistics","score_opus":0.08152261299687252,"score_gpt":0.27463430850248277,"score_spread":0.19311169550561025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2895248156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5612476,0.000009898993,0.43457466,0.003184726,0.00006389216,0.0008012058,0.00004075612,0.000039832346,0.00003745407],"genre_scores_gemma":[0.98441344,0.000010018659,0.0067737265,0.007901659,0.000135315,0.00018444595,0.000004440152,0.0000319071,0.00054505497],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987511,0.000028401888,0.00021234553,0.0003931155,0.00034858246,0.00026642944],"domain_scores_gemma":[0.9985973,0.0009205775,0.00011806905,0.0002821016,0.000039362058,0.000042556083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025382277,0.000116349234,0.00012280702,0.000038624454,0.00046302762,0.0000542108,0.00021744086,0.000053964322,0.0000456124],"category_scores_gemma":[0.0008205216,0.000081606915,0.00008265708,0.00007403126,0.000115980125,0.000079060446,0.000060899703,0.00011709235,0.0000150897995],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014465579,0.0013693782,0.0019606065,0.00013852415,0.00003897963,0.0000022088348,0.00027216788,0.03527596,0.94013786,0.0012992871,0.009207106,0.008851349],"study_design_scores_gemma":[0.00036077853,0.00049232476,0.00007610511,0.00006373677,0.000030592,2.7499183e-7,0.0000048880033,0.9002963,0.090194665,0.0033557592,0.0050226515,0.00010193273],"about_ca_topic_score_codex":0.0000041731937,"about_ca_topic_score_gemma":0.000019951736,"teacher_disagreement_score":0.86502033,"about_ca_system_score_codex":0.000055062086,"about_ca_system_score_gemma":0.000019779218,"threshold_uncertainty_score":0.3561281},"labels":[],"label_agreement":null},{"id":"W2895821373","doi":"10.1242/jeb.191320","title":"Three-dimensional shape and velocity changes affect responses of a locust visual interneuron to approaching objects","year":2018,"lang":"en","type":"article","venue":"Journal of Experimental Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stimulus (psychology); Locust; Interneuron; Physics; Neuroscience; Control theory (sociology); Biological system; Communication; Biology; Artificial intelligence; Psychology; Computer science; Inhibitory postsynaptic potential; Cognitive psychology; Ecology","score_opus":0.046092426806752705,"score_gpt":0.33163614440393363,"score_spread":0.28554371759718095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2895821373","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986737,0.00012398018,0.00008918499,0.00030537276,0.00062399,0.00011096132,0.0000061629016,0.0000071125364,0.000059585127],"genre_scores_gemma":[0.9985671,0.000005552631,0.00027791644,0.00092265743,0.00020114033,0.0000020737018,4.8699286e-7,0.000008736684,0.000014318638],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99912435,0.00016305133,0.00022085854,0.0002099678,0.00012293278,0.00015882832],"domain_scores_gemma":[0.9993466,0.00024410278,0.00021710581,0.00006518701,0.000042807067,0.00008418052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024546825,0.00011349765,0.00021622844,0.00017327062,0.00007799358,0.000015375603,0.00012503802,0.000055640703,0.000040054776],"category_scores_gemma":[0.00026459683,0.00008341365,0.00004928233,0.00009594788,0.00022488623,0.00007748768,0.00017017518,0.0001309306,0.0000045013244],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012141063,0.00010910457,0.0005511877,0.0000037893135,0.0000067435285,0.000012838633,0.00027946095,9.305251e-7,0.9951288,0.000115616924,0.00008224001,0.0024951645],"study_design_scores_gemma":[0.00039780466,0.007230806,0.0020274022,0.000030474326,0.0000048995366,0.00033029678,0.00008821842,0.0023397317,0.9872779,0.00006585007,0.00012137541,0.00008523016],"about_ca_topic_score_codex":0.000011737261,"about_ca_topic_score_gemma":0.000017030725,"teacher_disagreement_score":0.007850907,"about_ca_system_score_codex":0.00003129746,"about_ca_system_score_gemma":0.000020204267,"threshold_uncertainty_score":0.340151},"labels":[],"label_agreement":null},{"id":"W2896341253","doi":"10.1523/jneurosci.0079-18.2018","title":"Direct Cortical Recordings Suggest Temporal Order of Task-Evoked Responses in Human Dorsal Attention and Default Networks","year":2018,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Child Health and Human Development; National Institute of Mental Health; Canadian Institutes of Health Research","keywords":"Default mode network; Task-positive network; Neuroscience; Neuroimaging; Psychology; Dorsum; Network dynamics; Task (project management); Functional magnetic resonance imaging; Functional neuroimaging; Electroencephalography; Nerve net; Brain mapping; Cognitive psychology; Biology","score_opus":0.030506669911653267,"score_gpt":0.2948214109732077,"score_spread":0.2643147410615544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896341253","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99758583,0.0000133810145,0.00068218325,0.00034729365,0.0010586089,0.00009730744,0.0000031351342,0.000011239309,0.00020104427],"genre_scores_gemma":[0.9991934,0.000049448245,0.000076699616,0.00033463445,0.00010446592,9.446794e-7,1.8873067e-7,0.0000110509,0.000229177],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9981092,0.0002973242,0.0005685281,0.00032577803,0.0004250001,0.0002741279],"domain_scores_gemma":[0.99876046,0.00034377925,0.0004932973,0.00014058131,0.00016095994,0.00010090335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082560536,0.0001281751,0.00025334427,0.00028020676,0.00021093395,0.00008553783,0.0002746776,0.000058108937,0.0000063273374],"category_scores_gemma":[0.00236603,0.00010270984,0.000061724815,0.00086385285,0.00068637135,0.0004908772,0.000095368494,0.0003302296,7.959724e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024062624,0.00008839714,0.023244273,0.000005549056,4.950527e-7,0.00006530396,0.000030402114,0.00006495358,0.9754969,0.00014765786,0.00007460183,0.0005408597],"study_design_scores_gemma":[0.0011572938,0.0036382957,0.9017072,0.00015453043,0.000020881307,0.000834204,0.000046524976,0.041292235,0.04948009,0.00034566186,0.0010473814,0.00027570242],"about_ca_topic_score_codex":0.000027303455,"about_ca_topic_score_gemma":0.00002558171,"teacher_disagreement_score":0.9260168,"about_ca_system_score_codex":0.00002924275,"about_ca_system_score_gemma":0.00005331055,"threshold_uncertainty_score":0.41883856},"labels":[],"label_agreement":null},{"id":"W2896386286","doi":"10.1016/j.neuroimage.2018.10.034","title":"Measuring transient phase-amplitude coupling using local mutual information","year":2018,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":67,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Institute of Neurological Disorders and Stroke; National Institutes of Health","keywords":"Estimator; Computer science; Coupling (piping); Amplitude; Mutual information; Set (abstract data type); Measure (data warehouse); Event (particle physics); Data set; Transient (computer programming); Artificial intelligence; Data mining; Mathematics; Physics; Statistics","score_opus":0.08859852455801005,"score_gpt":0.29486993872174155,"score_spread":0.20627141416373151,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896386286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84624785,0.000002119166,0.15103239,0.00009527607,0.0008100037,0.00017807349,0.000014309893,0.000132304,0.001487697],"genre_scores_gemma":[0.99837065,0.0000036096662,0.0001954238,0.0012054414,0.00017106597,0.0000034151253,0.0000041809644,0.000017503038,0.000028687751],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99871653,0.00003590928,0.000275819,0.00029133077,0.00036687372,0.0003135488],"domain_scores_gemma":[0.99946356,0.00007224802,0.000092217466,0.00021496632,0.00006903715,0.000087965476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015181027,0.00014732528,0.000118522745,0.00011946661,0.0003250135,0.00016242337,0.00016411305,0.000043937955,0.00005086944],"category_scores_gemma":[0.00017402027,0.00014243611,0.000060724044,0.00028025868,0.00018005687,0.00090455724,0.000048891954,0.00018069461,0.00017354559],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000822318,0.00005418535,0.000021397515,0.000014168472,0.000001215628,0.000012940786,0.0001714773,0.0013839668,0.986883,0.00034613753,0.000071087576,0.010958226],"study_design_scores_gemma":[0.0009065969,0.00029271492,0.00043656907,0.000017333401,0.000011227656,0.000074395364,0.000029054765,0.68169296,0.31010887,0.00007309871,0.0061672777,0.00018986528],"about_ca_topic_score_codex":0.000014479039,"about_ca_topic_score_gemma":0.000003433427,"teacher_disagreement_score":0.680309,"about_ca_system_score_codex":0.000054233624,"about_ca_system_score_gemma":0.000030259116,"threshold_uncertainty_score":0.5808376},"labels":[],"label_agreement":null},{"id":"W2896387948","doi":"10.1109/ijcnn.2018.8489725","title":"A model of neurobiologically plausible least-squares learning in visual cortex","year":2018,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of British Columbia; Western Sydney University; University of Sydney; Australian Government","keywords":"Hebbian theory; MNIST database; Computer science; Benchmark (surveying); Visual cortex; Artificial intelligence; Artificial neural network; Machine learning; Competitive learning; Unsupervised learning; Iterative method; Pattern recognition (psychology); Leabra; Supervised learning; Feature (linguistics); Algorithm; Wake-sleep algorithm","score_opus":0.050527459041939476,"score_gpt":0.2855934067643811,"score_spread":0.23506594772244163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896387948","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916487,7.9148367e-7,0.002187068,0.0001130755,0.00008141174,0.000089153444,0.0000020389666,0.000061524246,0.0058162576],"genre_scores_gemma":[0.997111,0.0000052168166,0.00017831248,0.00063582923,0.000023430875,0.0000031111592,9.980191e-7,0.0000070730575,0.0020350243],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919057,0.00006519123,0.0001798402,0.00027542413,0.00011013356,0.00017882418],"domain_scores_gemma":[0.999708,0.00010482059,0.000062224884,0.000064152046,0.000029720979,0.000031087307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009311782,0.00008071539,0.000114209986,0.00007997036,0.000059789552,0.000016024866,0.00011137611,0.000045536926,0.00012063262],"category_scores_gemma":[0.00027713756,0.000061034545,0.00003235074,0.00022097037,0.00011843742,0.000092807844,0.00007517661,0.00013620431,0.000033586948],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055851553,0.00006000325,0.0037263322,0.000003746296,3.6241642e-7,0.0000019187837,0.000025510522,0.004295491,0.98613435,0.0047407844,0.000024074103,0.00093158585],"study_design_scores_gemma":[0.00021956983,0.00080329884,0.008573094,0.0000064594465,0.0000013109233,0.000005293298,0.000016915343,0.89952046,0.09002513,0.00066427904,0.00007529217,0.0000888991],"about_ca_topic_score_codex":0.000027043368,"about_ca_topic_score_gemma":0.000060229522,"teacher_disagreement_score":0.8961092,"about_ca_system_score_codex":0.000009316742,"about_ca_system_score_gemma":0.000022970182,"threshold_uncertainty_score":0.24889165},"labels":[],"label_agreement":null},{"id":"W2896499120","doi":"10.1101/445064","title":"Fast two-photon volumetric imaging of an improved voltage indicator reveals electrical activity in deeply located neurons in the awake brain","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Institutes of Health; Natural Sciences and Engineering Research Council of Canada; Fédération pour la Recherche sur le Cerveau; Canadian Institutes of Health Research; Epilepsy Society; Centre National de la Recherche Scientifique; China Scholarship Council; National Natural Science Foundation of China; Fondation pour la Recherche Médicale; Institut National de la Santé et de la Recherche Médicale; Agence Nationale de la Recherche; Université Laval","keywords":"Subthreshold conduction; Temporal resolution; Millisecond; Two-photon excitation microscopy; Neuroimaging; Neuroscience; Fluorescence-lifetime imaging microscopy; Premovement neuronal activity; Physics; Materials science; Voltage; Fluorescence; Optics; Biology","score_opus":0.014310818967922937,"score_gpt":0.24088730718990176,"score_spread":0.22657648822197882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896499120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963145,0.00005114556,0.0007751619,0.00033725967,0.00068381114,0.0015127863,0.00015479382,0.00016087739,0.00000964133],"genre_scores_gemma":[0.99821836,0.000032743414,0.00017447615,0.0010903465,0.00018267438,0.0001835113,5.495945e-7,0.00011407267,0.0000032681087],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.994816,0.0010924602,0.0008359147,0.001716386,0.0006439165,0.0008953178],"domain_scores_gemma":[0.9966018,0.00060584414,0.0008426899,0.0015698543,0.00017027072,0.00020949703],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019349249,0.0006180792,0.0007228741,0.0014324421,0.00018342651,0.00026427745,0.0014120693,0.00034852044,0.000015610016],"category_scores_gemma":[0.0024152633,0.0005671391,0.00015837466,0.0038796093,0.000307829,0.00040281846,0.0004923835,0.0018168325,0.000015056653],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008897043,0.00050809246,0.02949618,0.000101023645,0.0000069692874,0.00009547823,0.000017566474,0.00003969757,0.9694533,0.00010018124,0.000045678382,0.000046885438],"study_design_scores_gemma":[0.00092148787,0.00020380024,0.5407402,0.00011272085,0.000029950337,1.9657163e-7,0.0000026812893,0.08453129,0.37272322,0.000018470168,0.000088681845,0.00062727556],"about_ca_topic_score_codex":0.0005276034,"about_ca_topic_score_gemma":0.00005473614,"teacher_disagreement_score":0.59673005,"about_ca_system_score_codex":0.000380818,"about_ca_system_score_gemma":0.00047449928,"threshold_uncertainty_score":0.999678},"labels":[],"label_agreement":null},{"id":"W2896846197","doi":"10.1038/s41467-018-06560-z","title":"Cortical population activity within a preserved neural manifold underlies multiple motor behaviors","year":2018,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":370,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Center for Medical Rehabilitation Research; Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Neurological Disorders and Stroke; Seventh Framework Programme; European Commission; Fonds de Recherche du Québec - Santé; Center for Selective C-H Functionalization, National Science Foundation; FP7 People: Marie-Curie Actions; U.S. Department of Health and Human Services; National Science Foundation","keywords":"Task (project management); Flexibility (engineering); Computer science; Population; Neuroscience; Set (abstract data type); Motor cortex; Neural activity; Repertoire; Motor control; Artificial intelligence; Biology; Mathematics","score_opus":0.06296047141383575,"score_gpt":0.32849908634093705,"score_spread":0.2655386149271013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896846197","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99558675,0.00003642922,0.000096622236,0.002444551,0.00059429265,0.0003954515,0.000044845725,0.00019508493,0.00060598576],"genre_scores_gemma":[0.9980999,0.000017551998,0.00074871833,0.00059408275,0.00008285028,0.000045710694,0.000041253494,0.000021832137,0.00034807387],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99867517,0.00034318297,0.00020920356,0.00031420097,0.00025409114,0.0002041576],"domain_scores_gemma":[0.997752,0.0005927271,0.00013749687,0.0013395279,0.000096885175,0.000081347964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015172178,0.00014234787,0.0001271433,0.00008794939,0.0008073352,0.000099465724,0.0007983534,0.00021876853,0.000023935581],"category_scores_gemma":[0.0012332533,0.00012951405,0.00007419855,0.00034047605,0.00020895968,0.00036492976,0.0003787919,0.0009785749,0.000028739278],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013540073,0.00044453822,0.04270819,0.000008086573,0.00000700391,0.000002232866,0.00016551222,0.000023584822,0.92139316,0.033643514,0.00042362898,0.0010451482],"study_design_scores_gemma":[0.0004271825,0.0002377549,0.7318338,0.000015198552,0.000036806632,0.000019803147,0.000039091505,0.239933,0.025037082,0.0008861824,0.0012547305,0.00027935317],"about_ca_topic_score_codex":0.00015548988,"about_ca_topic_score_gemma":0.0028857063,"teacher_disagreement_score":0.8963561,"about_ca_system_score_codex":0.000068864625,"about_ca_system_score_gemma":0.00002000932,"threshold_uncertainty_score":0.6209451},"labels":[],"label_agreement":null},{"id":"W2897010132","doi":"10.1101/449769","title":"Probing the circuits of conscious perception with magnetophosphenes","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Lawson Health Research Institute","funders":"Horizon 2020 Framework Programme; Electricité de France; Hydro-Québec; European Commission","keywords":"Phosphene; Perception; Psychology; Consciousness; Cognitive psychology; Functional integration; Information integration; Neuroscience; Electroencephalography; Computer science; Data mining","score_opus":0.01824944889340835,"score_gpt":0.21129434543756442,"score_spread":0.19304489654415607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897010132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99647176,0.00007560866,0.0007331588,0.00028256138,0.0012017428,0.00090277684,0.00008505868,0.00020917768,0.000038132897],"genre_scores_gemma":[0.9986358,0.00011097072,0.00034742194,0.00037779077,0.00031392643,0.00011484833,1.05620316e-7,0.00008173081,0.000017365306],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997471,0.0001732244,0.00057512656,0.0009156468,0.00047361958,0.0003914037],"domain_scores_gemma":[0.99731284,0.00012540545,0.0010529974,0.0010375845,0.00037000838,0.00010116326],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004987406,0.0003996487,0.00040635272,0.0001202078,0.00027569357,0.00018464713,0.00060897967,0.0002524725,0.000061772844],"category_scores_gemma":[0.00042938892,0.00028260794,0.00011409638,0.00048047418,0.00051949575,0.00013592136,0.00032089464,0.00053201074,0.00004218674],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027581847,0.00006107337,0.0015357207,0.0001947814,0.000014788081,0.000013775704,0.000019624158,0.00008689389,0.9973078,0.0006222095,0.00010734318,0.0000084032645],"study_design_scores_gemma":[0.00051273505,0.0003894304,0.08917261,0.0005725984,0.00012656985,1.9853918e-7,0.000008369932,0.0029374803,0.904262,0.000019352923,0.0012043174,0.00079435646],"about_ca_topic_score_codex":0.00004206641,"about_ca_topic_score_gemma":0.000004094907,"teacher_disagreement_score":0.09304582,"about_ca_system_score_codex":0.00011670917,"about_ca_system_score_gemma":0.00031818575,"threshold_uncertainty_score":0.9999626},"labels":[],"label_agreement":null},{"id":"W2897135105","doi":"10.1101/442855","title":"Differential generation of saccade, fixation and image onset event-related potentials in the human mesial temporal lobe","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Western Hospital; York University; Krembil Foundation; University of Toronto","funders":"Canadian Institutes of Health Research; Health Canada; Krembil Foundation; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada","keywords":"Eye movement; Psychology; Fixation (population genetics); Stimulus (psychology); Saccade; Neuroscience; Electrophysiology; Temporal lobe; Visual search; Event-related potential; Electroencephalography; Audiology; Cognitive psychology; Epilepsy; Medicine","score_opus":0.025499958214248806,"score_gpt":0.24964251191270478,"score_spread":0.22414255369845598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897135105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99633956,0.000033063377,0.0012067632,0.00023933577,0.0011086744,0.0008143318,0.00018326481,0.00007030768,0.000004689565],"genre_scores_gemma":[0.99919754,0.000054843378,0.0001504532,0.00012728976,0.00035434714,0.00006015725,0.000003422025,0.000046438385,0.0000054829616],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997178,0.00055718934,0.0006977173,0.000811735,0.00045534957,0.00029998235],"domain_scores_gemma":[0.9984383,0.0000713958,0.0006557895,0.0006077135,0.0001562783,0.000070496346],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000573985,0.0003537746,0.00037637516,0.0002670937,0.00023550651,0.00025714413,0.00040392167,0.00037014057,0.000060515085],"category_scores_gemma":[0.00029029013,0.0002987038,0.00010856843,0.0003807383,0.00023561738,0.0002245675,0.000254431,0.0005241453,0.000008756648],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022164628,0.00012614047,0.0025567056,0.00007709586,0.000012370953,0.000014315402,0.000018513272,0.000022613216,0.9961847,0.0008044165,0.00015900638,0.0000019644947],"study_design_scores_gemma":[0.0007244007,0.00012795176,0.19553106,0.00013308156,0.00007451393,1.0725526e-7,0.0000022928468,0.009036954,0.7938291,0.00006607445,0.00005376663,0.00042073973],"about_ca_topic_score_codex":0.00008739792,"about_ca_topic_score_gemma":0.000014175859,"teacher_disagreement_score":0.20235564,"about_ca_system_score_codex":0.00007920126,"about_ca_system_score_gemma":0.00011601487,"threshold_uncertainty_score":0.99994653},"labels":[],"label_agreement":null},{"id":"W2897535781","doi":"10.1101/443192","title":"Dynamics of spontaneous alpha activity correlate with language ability in young children","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Canada First Research Excellence Fund","keywords":"Alpha (finance); Oscillation (cell signaling); Flexibility (engineering); Electroencephalography; Psychology; Amplitude; Audiology; Alpha rhythm; Correlation; Physics; Scaling; Developmental psychology; Neuroscience; Mathematics; Statistics; Biology; Medicine; Optics; Psychometrics","score_opus":0.007898236439511753,"score_gpt":0.20966548603104868,"score_spread":0.2017672495915369,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897535781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99690205,0.000025031204,0.00047926413,0.00008807365,0.0008397705,0.0009140519,0.00052416144,0.00020027635,0.000027338236],"genre_scores_gemma":[0.99930453,0.000042100317,0.00032745092,0.000054810982,0.00012032365,0.000047011305,6.353645e-7,0.0000948973,0.000008209568],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9970029,0.00026123648,0.00045397584,0.0012904158,0.00047967807,0.00051179307],"domain_scores_gemma":[0.99767864,0.00014426051,0.00056559546,0.0012953724,0.00016715424,0.00014895757],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00048788925,0.00051093556,0.0006118471,0.00026838845,0.00010173113,0.000098972174,0.0005932374,0.0004199111,0.00003070439],"category_scores_gemma":[0.00041394233,0.00048234433,0.00012130513,0.0006345323,0.0003424502,0.00018038954,0.0004490944,0.0009817868,0.000018127674],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031839506,0.00034824203,0.06141449,0.0001869824,0.000030368554,0.0003579274,0.000020608803,0.0003048606,0.93670875,0.00029590775,0.0000061939654,0.0000072429134],"study_design_scores_gemma":[0.00057273766,0.00020896761,0.80289423,0.00027113003,0.000053870288,0.0000011827924,0.0000017697896,0.01840437,0.1769384,0.0000055130963,0.0000034667498,0.00064436794],"about_ca_topic_score_codex":0.00061797595,"about_ca_topic_score_gemma":0.0003409764,"teacher_disagreement_score":0.7597704,"about_ca_system_score_codex":0.0004804424,"about_ca_system_score_gemma":0.00028183733,"threshold_uncertainty_score":0.99976283},"labels":[],"label_agreement":null},{"id":"W2897904633","doi":"10.3389/fnsys.2018.00051","title":"Persistent Valence Representations by Ensembles of Anterior Cingulate Cortex Neurons","year":2018,"lang":"en","type":"article","venue":"Frontiers in Systems Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Anterior cingulate cortex; Valence (chemistry); Cingulate cortex; Psychology; Cognitive psychology; Computer science; Physics; Cognition; Central nervous system; Quantum mechanics","score_opus":0.02278235687668409,"score_gpt":0.2594625914327831,"score_spread":0.23668023455609902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897904633","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98121154,0.00014454019,0.007391082,0.00018567388,0.009387813,0.0005277467,0.00009604166,0.000074141484,0.0009813937],"genre_scores_gemma":[0.9975787,0.00012706935,0.000120452474,0.00037139482,0.00006046175,0.000023069633,0.0000012963851,0.000020119338,0.0016974299],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997268,0.00027315863,0.0005544472,0.0009052511,0.0005422314,0.00045688785],"domain_scores_gemma":[0.9988639,0.000100265745,0.00031818415,0.00051995204,0.00007648497,0.00012124719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002758106,0.00019647933,0.00031055466,0.00021837924,0.0002803484,0.00011208924,0.0006253589,0.00005751675,0.000004830712],"category_scores_gemma":[0.0006745415,0.00018631309,0.00010673413,0.0010966324,0.00088558876,0.00039909658,0.00013185196,0.00016017824,0.0000069992307],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000293032,0.00006862979,0.011739788,0.00003365434,9.011731e-7,0.000019387,0.00020669824,0.00035723424,0.9825777,0.00014458968,0.0044196392,0.00040251357],"study_design_scores_gemma":[0.0015536657,0.0022582582,0.07896991,0.0005503304,0.000046644738,0.00051873934,0.001346759,0.6749483,0.22402129,0.00029601666,0.014336837,0.0011532628],"about_ca_topic_score_codex":0.00010968302,"about_ca_topic_score_gemma":0.0000052975497,"teacher_disagreement_score":0.75855637,"about_ca_system_score_codex":0.000055070977,"about_ca_system_score_gemma":0.00004974925,"threshold_uncertainty_score":0.7597627},"labels":[],"label_agreement":null},{"id":"W2897915918","doi":"10.1101/441626","title":"Measuring the average power of neural oscillations","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Whitehall Foundation; University of California, San Diego; National Science Foundation","keywords":"Spectral density; Power (physics); Computer science; Electroencephalography; Narrowband; Perception; Psychology; Econometrics; Statistics; Mathematics; Neuroscience; Physics; Telecommunications","score_opus":0.030988262781841254,"score_gpt":0.22431355018712432,"score_spread":0.19332528740528307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897915918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99451137,0.000079797566,0.0007119647,0.00048574482,0.0031315186,0.00059600256,0.00017603728,0.00021985793,0.00008770851],"genre_scores_gemma":[0.99884605,0.00004835384,0.0001820549,0.00044449378,0.0003368219,0.000048393333,7.070124e-8,0.00007950468,0.000014279555],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997359,0.00025001122,0.0005052962,0.0008684358,0.0005869486,0.00043030834],"domain_scores_gemma":[0.997451,0.00022013359,0.00050877576,0.0013531254,0.00033840883,0.00012855874],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00050270505,0.0003935373,0.00036013802,0.00019368016,0.0003628779,0.00019901975,0.0007957086,0.00025588906,0.000080727754],"category_scores_gemma":[0.0008870406,0.0003145243,0.00020712765,0.0005600242,0.00031824765,0.00016451473,0.00064922567,0.0006808529,0.000061247956],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019010839,0.00005371314,0.0012370239,0.00006736498,0.000018049168,0.000011644472,0.000013253409,0.0006378849,0.9964434,0.0013057867,0.00019179673,0.0000010823692],"study_design_scores_gemma":[0.00033924505,0.00010913031,0.08324394,0.00020180609,0.00006721299,7.004046e-8,0.0000019453678,0.01527056,0.8969826,0.000029578692,0.0030376916,0.0007162032],"about_ca_topic_score_codex":0.000021871016,"about_ca_topic_score_gemma":0.0000017012935,"teacher_disagreement_score":0.09946077,"about_ca_system_score_codex":0.00011056344,"about_ca_system_score_gemma":0.00019529062,"threshold_uncertainty_score":0.9999307},"labels":[],"label_agreement":null},{"id":"W2898091995","doi":"10.1113/jp277233","title":"A jolt to the field: a self‐generating and self‐propagating ephaptically mediated slow spontaneous network activity pattern in the hippocampus","year":2018,"lang":"en","type":"letter","venue":"The Journal of Physiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Neuroscience; Forebrain; Rhythm; Local field potential; Hippocampus; Sensory system; Computer science; Population; Biological neural network; Oscillation (cell signaling); Physics; Nerve net; Sleep (system call); Psychology; Biology; Central nervous system; Medicine","score_opus":0.013322786885821858,"score_gpt":0.2424736913696152,"score_spread":0.22915090448379333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898091995","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7503949,0.000020372121,0.00016268739,0.24819203,0.00084828713,0.0003292423,0.000004832288,0.000013772523,0.00003389046],"genre_scores_gemma":[0.60627306,0.000062288964,0.00005950532,0.38895014,0.0046138414,0.0000066350635,0.000001257608,0.00001856277,0.0000146919265],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99612087,0.0023632327,0.00042695363,0.00027240207,0.00035585824,0.00046068785],"domain_scores_gemma":[0.99218065,0.0067615025,0.0005912697,0.0003473637,0.00007852004,0.000040689483],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0014144691,0.00026359395,0.00039211492,0.00006519265,0.00037456362,0.00008057154,0.00082153606,0.00024708104,0.000018289553],"category_scores_gemma":[0.00095303054,0.00011584015,0.00009860612,0.00025656252,0.00010681286,0.00006832764,0.00019615331,0.002360381,0.000011663897],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047162705,0.00014762333,0.000033225027,0.00009907847,0.00010438729,0.001732501,0.0029125249,0.0030761657,0.6237181,0.000012986118,0.350595,0.017096803],"study_design_scores_gemma":[0.005128142,0.026689423,0.016362103,0.0017749136,0.0015538345,0.06696844,0.0006607023,0.5572765,0.009428226,0.02635942,0.2839584,0.0038399096],"about_ca_topic_score_codex":0.000039568044,"about_ca_topic_score_gemma":0.00009841316,"teacher_disagreement_score":0.6142898,"about_ca_system_score_codex":0.000045503417,"about_ca_system_score_gemma":0.00006404026,"threshold_uncertainty_score":0.99994123},"labels":[],"label_agreement":null},{"id":"W2898274719","doi":"10.1093/cercor/bhy268","title":"High-Expanding Regions in Primate Cortical Brain Evolution Support Supramodal Cognitive Flexibility","year":2018,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"European Research Council; Australian Research Council; Norges Forskningsråd","keywords":"Neocortex; Neuroscience; Cognition; Cognitive flexibility; Cortex (anatomy); Context (archaeology); Flexibility (engineering); Biology; Functional organization; Primate; Psychology","score_opus":0.03609818275104494,"score_gpt":0.3101153302192959,"score_spread":0.27401714746825095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898274719","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922565,0.0000020218997,0.0033094278,0.00089972053,0.0009368606,0.0004367602,0.0000524575,0.00016067135,0.0019455594],"genre_scores_gemma":[0.9974666,0.000001880302,0.00006322948,0.0013637505,0.00023653607,0.000022286644,0.00003778724,0.000024923384,0.00078295625],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99768704,0.0002537113,0.00040072616,0.0007769026,0.00032329527,0.00055829703],"domain_scores_gemma":[0.9989469,0.00040605216,0.000120560755,0.00027946007,0.00008899326,0.00015800292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003590422,0.00021165294,0.00024821854,0.0001570565,0.00031939227,0.000075844495,0.00018716273,0.00012920279,0.00040469228],"category_scores_gemma":[0.0014489545,0.00019858476,0.00008650939,0.00055373245,0.00048576304,0.00042156826,0.00013832808,0.00038062505,0.00030981287],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011950413,0.00068671914,0.04999835,0.000057633784,0.00001422541,0.00019762314,0.000638217,0.000014628708,0.7730931,0.16761735,0.0025061471,0.003980949],"study_design_scores_gemma":[0.0024611726,0.0014531226,0.87735045,0.00009495035,0.000034553545,0.00019623981,0.00027481792,0.018471204,0.06429815,0.034436006,0.00023184069,0.0006974596],"about_ca_topic_score_codex":0.0001240819,"about_ca_topic_score_gemma":0.00033766314,"teacher_disagreement_score":0.8273521,"about_ca_system_score_codex":0.00022998887,"about_ca_system_score_gemma":0.000107764514,"threshold_uncertainty_score":0.80980515},"labels":[],"label_agreement":null},{"id":"W2898304423","doi":"10.1016/j.neuron.2018.10.004","title":"Large-Scale Cortical Networks for Hierarchical Prediction and Prediction Error in the Primate Brain","year":2018,"lang":"en","type":"article","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":262,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; European Research Council; Canadian Institute for Advanced Research; Commissariat à l'Énergie Atomique et aux Énergies Alternatives; Institut National de la Santé et de la Recherche Médicale; Collège de France; Fondation du Collège de France","keywords":"Predictive coding; Electrocorticography; Auditory cortex; Mean squared prediction error; Computer science; Sensory system; Prefrontal cortex; Artificial neural network; Temporal cortex; Neuroscience; Coding (social sciences); Artificial intelligence; Pattern recognition (psychology); Electroencephalography; Psychology; Machine learning; Mathematics; Cognition","score_opus":0.021228083188482526,"score_gpt":0.27834175224116603,"score_spread":0.2571136690526835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898304423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97900075,0.000005255606,0.014977944,0.0037457976,0.00096714596,0.0006542402,0.00006362085,0.00008516118,0.00050008757],"genre_scores_gemma":[0.99515015,0.000015707872,0.000047346173,0.0040772385,0.00047176672,0.00006192036,0.000014632184,0.00001640425,0.00014482885],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986698,0.00022485624,0.00020425055,0.00040583996,0.00018952298,0.00030570605],"domain_scores_gemma":[0.9992031,0.00050121633,0.00004530399,0.00017712933,0.000019331806,0.000053935277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039246178,0.00010842445,0.000096884476,0.000054203818,0.00029415608,0.0000687412,0.000117987125,0.000082098355,0.000007611017],"category_scores_gemma":[0.00040011806,0.00007882969,0.000035938425,0.00019492857,0.00015781351,0.00015014553,0.000047988215,0.0002958404,0.0000036662427],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0037719845,0.0016149128,0.03543812,0.00017585723,0.000012453961,0.000057516285,0.0046245535,0.0018116886,0.8381838,0.038825247,0.04497885,0.030504972],"study_design_scores_gemma":[0.00081401435,0.0011805614,0.11787033,0.000012520118,0.000010633145,0.00005560209,0.000034738325,0.8648627,0.0012287226,0.0011533402,0.012690239,0.000086625994],"about_ca_topic_score_codex":0.0000020247185,"about_ca_topic_score_gemma":0.000030777523,"teacher_disagreement_score":0.863051,"about_ca_system_score_codex":0.000017266952,"about_ca_system_score_gemma":0.000010190491,"threshold_uncertainty_score":0.32145813},"labels":[],"label_agreement":null},{"id":"W2898988061","doi":"10.1002/hipo.23046","title":"Sharp‐wave ripple features in macaques depend on behavioral state and cell‐type specific firing","year":2018,"lang":"en","type":"article","venue":"Hippocampus","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Krembil Foundation; Alzheimer's Society; Canada Foundation for Innovation; Alzheimer Society; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada; Alfred P. Sloan Foundation","keywords":"Neuroscience; Ripple; Macaque; Psychology; Physics","score_opus":0.038925769347549245,"score_gpt":0.2723148822360579,"score_spread":0.23338911288850864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898988061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958243,0.00008226526,0.0000069185767,0.00010441298,0.00075623736,0.00017675212,0.000016767939,0.0000425523,0.002989818],"genre_scores_gemma":[0.99789125,0.00013327708,0.00008825662,0.00037392712,0.00011583187,0.0000055784476,0.0000046255936,0.000021172287,0.0013660851],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988689,0.000058577498,0.000145614,0.00045631628,0.00017842905,0.0002921962],"domain_scores_gemma":[0.9995775,0.0000779925,0.000057687634,0.00019155774,0.000021837714,0.000073376905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008009147,0.00015229954,0.00012596406,0.00011711417,0.00013830862,0.00010675532,0.00010194643,0.000058971167,0.00012506431],"category_scores_gemma":[0.000028603785,0.00013742186,0.000025088471,0.00021022481,0.000093430914,0.00013846229,0.000069853486,0.00022523869,0.00011719517],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039415012,0.00024519657,0.0036845482,0.000024199611,0.0000014579059,0.0002863499,0.00062907103,0.000030200481,0.8919174,0.0007166322,0.002873477,0.099197336],"study_design_scores_gemma":[0.0018783576,0.002926856,0.08383976,0.00012357628,0.000013594304,0.00018131087,0.000087861816,0.0031382707,0.8666554,0.025761634,0.014503062,0.00089032686],"about_ca_topic_score_codex":0.000039933882,"about_ca_topic_score_gemma":0.00023091258,"teacher_disagreement_score":0.09830701,"about_ca_system_score_codex":0.000041683066,"about_ca_system_score_gemma":0.000011783346,"threshold_uncertainty_score":0.56039006},"labels":[],"label_agreement":null},{"id":"W2899268395","doi":"10.1016/j.neuropsychologia.2018.10.019","title":"The effects of periodic interruptions on cortical entrainment to speech","year":2018,"lang":"en","type":"article","venue":"Neuropsychologia","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Speech perception; Speech recognition; Perception; Motor theory of speech perception; Entrainment (biomusicology); Psychology; Noise (video); Neurocomputational speech processing; Acoustics; Envelope (radar); Communication; Computer science; Rhythm; Physics; Artificial intelligence; Neuroscience","score_opus":0.023278130407549974,"score_gpt":0.30366364696479886,"score_spread":0.28038551655724886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899268395","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9881592,0.0000014694563,0.00024534928,0.0012205649,0.0029363343,0.0003196897,0.0000035807893,0.000050997565,0.00706283],"genre_scores_gemma":[0.9924542,0.000017256822,0.000035953002,0.00694476,0.00011737043,0.00001758291,2.7076814e-7,0.000011345846,0.00040126976],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998844,0.00018133862,0.00017175777,0.00034477055,0.00022258682,0.00023553564],"domain_scores_gemma":[0.9988347,0.0006325952,0.000051136074,0.00037628543,0.000027651951,0.00007759955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010742626,0.00010279875,0.000087347544,0.00004666414,0.00025388927,0.00004279999,0.00028150412,0.00003289729,0.000042613552],"category_scores_gemma":[0.0016451094,0.00006476938,0.0000524543,0.0002456116,0.00029739298,0.000024134526,0.00006814653,0.00019187611,0.0003832278],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010974513,0.00011592751,0.00009329868,0.0000037517239,0.0000015165891,0.00002211719,0.000084856554,9.60378e-7,0.9726555,0.004635853,0.0019902491,0.02028627],"study_design_scores_gemma":[0.00084448693,0.013455412,0.26193357,0.00006446742,0.000018611248,0.00011390786,0.000040568666,0.00062894705,0.69293624,0.000859074,0.028798293,0.00030643833],"about_ca_topic_score_codex":0.0000010287667,"about_ca_topic_score_gemma":0.0000014399391,"teacher_disagreement_score":0.27971923,"about_ca_system_score_codex":0.000017220267,"about_ca_system_score_gemma":0.0000063488083,"threshold_uncertainty_score":0.49257457},"labels":[],"label_agreement":null},{"id":"W2899398470","doi":"10.1016/j.neulet.2018.10.054","title":"The common features of different brain activities","year":2018,"lang":"en","type":"article","venue":"Neuroscience Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Merge (version control); Perception; Cognition; Duality (order theory); Dual (grammatical number); Brain activity and meditation; Psychology; Neuroscience; Cognitive psychology; Computer science; Cognitive science; Mathematics; Electroencephalography; Pure mathematics","score_opus":0.019802591365522357,"score_gpt":0.25641906281405985,"score_spread":0.23661647144853748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899398470","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9730107,0.0000025040163,0.00013340128,0.024012059,0.0018080526,0.00013404495,0.0000057744874,0.00004711473,0.0008463193],"genre_scores_gemma":[0.96995413,0.000010573468,0.0000046695327,0.02937183,0.00011272348,0.0000068771647,2.0014816e-7,0.0000096729955,0.0005293508],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985989,0.00015392195,0.0001539915,0.0003513781,0.00042122102,0.00032063707],"domain_scores_gemma":[0.9988491,0.00063322886,0.000119607575,0.00033707888,0.000011349897,0.00004963369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013234731,0.00012546477,0.00011136679,0.00005933679,0.0006258234,0.00013522914,0.0005545066,0.000022899121,0.000004542628],"category_scores_gemma":[0.00042394552,0.00007566093,0.00006267931,0.0003106424,0.0014573841,0.00019599014,0.00012306371,0.0001701917,0.000004446602],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022965287,0.000019244722,0.00051741354,0.0000026755004,2.4295403e-7,0.0000033868841,0.00006236841,0.00000578627,0.9881752,0.0030287022,0.004212153,0.003949873],"study_design_scores_gemma":[0.00012022091,0.0002654972,0.04377399,0.0000082918195,0.0000025008771,0.000028282966,0.000020590709,0.00094069954,0.94708914,0.00048142188,0.0071520335,0.00011733211],"about_ca_topic_score_codex":0.000011166115,"about_ca_topic_score_gemma":0.000026704267,"teacher_disagreement_score":0.043256573,"about_ca_system_score_codex":0.000017187494,"about_ca_system_score_gemma":0.0000092789105,"threshold_uncertainty_score":0.53697926},"labels":[],"label_agreement":null},{"id":"W2900351855","doi":"10.1016/j.conb.2018.10.013","title":"Neuronal competition: microcircuit mechanisms define the sparsity of the engram","year":2018,"lang":"en","type":"review","venue":"Current Opinion in Neurobiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":80,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research; Hospital for Sick Children; University of Toronto","funders":"Canadian Institutes of Health Research; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Hospital for Sick Children; ZonMw; National Institute of Mental Health; Canadian Institute for Advanced Research","keywords":"Engram; Mnemonic; Neuroscience; Representation (politics); Encoding (memory); Computer science; Psychology; Cognitive science; Cognitive psychology","score_opus":0.15204499240821023,"score_gpt":0.34822364481324375,"score_spread":0.19617865240503352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900351855","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008547967,0.9193076,0.00023778035,0.00073720375,0.075248,0.0026689894,0.0006565328,0.000083330444,0.00020574564],"genre_scores_gemma":[0.0009484063,0.9981869,0.0000039007973,0.00019601946,0.00045169852,0.000063192885,0.00008231818,0.00003098618,0.000036620062],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965453,0.0014726262,0.00070778135,0.0007411518,0.00017892668,0.00035419408],"domain_scores_gemma":[0.99771315,0.0008459379,0.0006960026,0.00066135015,0.000044258042,0.00003929521],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027692784,0.000376833,0.0007703461,0.00013379107,0.00022799341,0.000026023556,0.0011685693,0.00020193192,0.00005704566],"category_scores_gemma":[0.00032091662,0.00020842985,0.0004618858,0.0006287136,0.00054991746,0.00004022747,0.0005401227,0.0009456611,0.000066521105],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006250426,0.0011207524,0.00007099592,0.019957857,0.000042688167,0.0000036160777,0.00008567504,0.000023461798,0.0051092217,0.39909115,0.011316607,0.5631155],"study_design_scores_gemma":[0.00015156157,0.00014561194,0.00008773736,0.0020031151,0.000037741247,0.00011827733,9.789135e-7,0.00002852137,0.00012893598,0.0018326116,0.9952682,0.00019670792],"about_ca_topic_score_codex":0.000002696695,"about_ca_topic_score_gemma":0.000003867314,"teacher_disagreement_score":0.98395157,"about_ca_system_score_codex":0.000047742495,"about_ca_system_score_gemma":0.00013429005,"threshold_uncertainty_score":0.8499523},"labels":[],"label_agreement":null},{"id":"W2900426157","doi":"10.1101/463364","title":"Mapping the Computational Similarity of Individual Neurons within Large-scale Ensemble Recordings using the SIMNETS analysis framework","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"National Institute of Neurological Disorders and Stroke; National Institutes of Health; Killam Trusts","keywords":"Computer science; Similarity (geometry); Pipeline (software); Scale (ratio); Spurious relationship; Artificial intelligence; Artificial neural network; Pattern recognition (psychology); Machine learning; Image (mathematics); Geography; Cartography","score_opus":0.04266974100020132,"score_gpt":0.2549844576259144,"score_spread":0.21231471662571305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900426157","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9272609,0.000053554966,0.069422625,0.00050498446,0.001548151,0.00058397424,0.0004914303,0.00012918343,0.0000052449577],"genre_scores_gemma":[0.99053645,0.000024105846,0.0074594812,0.0015221698,0.00035517084,0.000032046704,9.195189e-7,0.0000671284,0.0000025467018],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99613315,0.00059345557,0.00074258837,0.0011019428,0.0009006511,0.00052820443],"domain_scores_gemma":[0.9962849,0.00086610334,0.0010820919,0.0012432032,0.0003980396,0.00012567815],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016157407,0.00046214627,0.00056689343,0.00036984376,0.00086857163,0.00042773812,0.0012483464,0.000393583,0.000034807068],"category_scores_gemma":[0.00094259746,0.00034089704,0.00035959648,0.0023570836,0.0004298803,0.00015898558,0.0011236969,0.0013808245,0.000007907711],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000081490325,0.0003928702,0.025072237,0.0002943771,0.0007971419,0.000031484906,0.0005639982,0.10645982,0.8625581,0.0033472595,0.00039559088,0.000005620397],"study_design_scores_gemma":[0.00040617218,0.000105659594,0.17269215,0.00044433223,0.0012771452,1.7632556e-7,0.00006335378,0.70346415,0.119161725,0.0005145585,0.00073868275,0.0011318823],"about_ca_topic_score_codex":0.000042429987,"about_ca_topic_score_gemma":0.000009450904,"teacher_disagreement_score":0.7433964,"about_ca_system_score_codex":0.00010817468,"about_ca_system_score_gemma":0.0003100975,"threshold_uncertainty_score":0.99990433},"labels":[],"label_agreement":null},{"id":"W2900470953","doi":"10.1038/s41598-018-35400-9","title":"Light modulates oscillatory alpha activity in the occipital cortex of totally visually blind individuals with intact non-image-forming photoreception","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université de Montréal; Hôpital du Sacré-Cœur de Montréal; Canadian Sleep & Circadian Network; Montreal Neurological Institute and Hospital","funders":"National Center for Research Resources; National Institute of Neurological Disorders and Stroke; Brigham and Women's Hospital; Fonds De La Recherche Scientifique - FNRS; Wellcome Trust; Harvard Catalyst","keywords":"Neuroscience; Intrinsically photosensitive retinal ganglion cells; Entrainment (biomusicology); Visual cortex; Perception; Electroencephalography; Alertness; Biology; Circadian rhythm; Visual perception; Psychology; Rhythm; Physics; Retina; Retinal ganglion cell","score_opus":0.016142551120078622,"score_gpt":0.2647812929248976,"score_spread":0.24863874180481899,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900470953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939599,0.0000028959616,0.00014203317,0.0000928148,0.0026509084,0.00061397906,0.000005170037,0.00003348033,0.0024988316],"genre_scores_gemma":[0.9993543,0.000001553176,0.00012497527,0.000069583395,0.00008756714,0.00001904125,0.0000073071524,0.00001704602,0.0003186185],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997287,0.00011148167,0.00045751504,0.0008632845,0.0009296515,0.00035106819],"domain_scores_gemma":[0.99843866,0.00009883036,0.0005676893,0.00066955434,0.00015630347,0.00006893934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017450401,0.00019508402,0.00021805597,0.0002969563,0.00038677108,0.00034175327,0.00025729166,0.00007684064,0.00005479128],"category_scores_gemma":[0.00026361973,0.00012703503,0.000077548415,0.0010616797,0.0004742949,0.0008003744,0.000106741136,0.00019565165,0.000016905822],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056994046,0.0001553996,0.004441987,0.000014304099,0.000004297226,0.000080093945,0.0010282032,0.000014701138,0.9925163,0.000034317807,0.00029648666,0.0013569647],"study_design_scores_gemma":[0.0003452387,0.00050318893,0.07350546,0.00007121268,0.000016038028,0.00031862015,0.00016434239,0.0034296087,0.9192328,0.0011073156,0.0010559646,0.00025019216],"about_ca_topic_score_codex":0.000037697697,"about_ca_topic_score_gemma":0.00008147046,"teacher_disagreement_score":0.073283434,"about_ca_system_score_codex":0.000057643956,"about_ca_system_score_gemma":0.00014554763,"threshold_uncertainty_score":0.51803386},"labels":[],"label_agreement":null},{"id":"W2901798225","doi":"10.1101/477554","title":"Strong preference for autaptic self-connectivity of neocortical PV interneurons entrains them to γ-oscillations","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Nautical Research Society","funders":"Agence Nationale de la Recherche; Leverhulme Trust; Directorate for Biological Sciences; National Alliance for Research on Schizophrenia and Depression","keywords":"Neuroscience; Disinhibition; Excitatory postsynaptic potential; Parvalbumin; Neurotransmission; Inhibitory postsynaptic potential; Transmission (telecommunications); Neocortex; Biology; Computer science; Telecommunications","score_opus":0.05515226633035009,"score_gpt":0.25516938835199693,"score_spread":0.20001712202164684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901798225","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9664238,0.0000054857396,0.028664917,0.00032398052,0.0017547352,0.0017203005,0.0006935048,0.00037426432,0.000038993465],"genre_scores_gemma":[0.9956505,0.00001246256,0.00335752,0.0002431735,0.00032632187,0.00030894158,2.539769e-7,0.00009022763,0.000010633879],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9969394,0.00017930652,0.0005685552,0.0013183651,0.00039465274,0.00059969566],"domain_scores_gemma":[0.99736583,0.0005054923,0.00038142287,0.0010666988,0.00037662048,0.0003039465],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00035981796,0.00046062234,0.00050787436,0.00021102175,0.00020755353,0.000178274,0.0006745988,0.00029649353,0.000046190307],"category_scores_gemma":[0.0018913567,0.0004674939,0.00021430825,0.000441718,0.0001725397,0.00017042639,0.00063484383,0.0004903153,0.000051294443],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069959664,0.0002683334,0.0022932896,0.00021943427,0.00003545512,0.000005296278,0.000025768,0.0002506227,0.98476076,0.011948185,0.00011761678,0.0000052647683],"study_design_scores_gemma":[0.00069928385,0.00073772215,0.07563608,0.00036737495,0.00021288062,9.5738834e-8,0.0000033116723,0.050832186,0.8681211,0.00012167726,0.0021682766,0.0011000038],"about_ca_topic_score_codex":0.000014281007,"about_ca_topic_score_gemma":0.0000057444486,"teacher_disagreement_score":0.116639666,"about_ca_system_score_codex":0.0002214865,"about_ca_system_score_gemma":0.00039511954,"threshold_uncertainty_score":0.9997777},"labels":[],"label_agreement":null},{"id":"W2903261829","doi":"10.1523/jneurosci.1877-18.2018","title":"On the Short-Lived Nature of Working Memory: Drift and Decay in a Population-coding model","year":2018,"lang":"en","type":"letter","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Working memory; Coding (social sciences); Perception; Cognitive psychology; Cognition; Psychology; Population; Cognitive science; Computer science; Neuroscience; Sociology","score_opus":0.0754728851474847,"score_gpt":0.2863035133206321,"score_spread":0.2108306281731474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903261829","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90807986,0.000021009831,0.00019545239,0.08885609,0.0021233542,0.00022447316,0.000007113437,0.000008794311,0.00048382353],"genre_scores_gemma":[0.8354557,0.00009114668,0.000030445917,0.16388796,0.0003888774,0.000001496941,3.6867215e-7,0.000019224064,0.00012473721],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99756277,0.00021976202,0.0005542877,0.0004344121,0.0009302566,0.00029852087],"domain_scores_gemma":[0.99806035,0.0008500017,0.00069362007,0.0002713724,0.00007450198,0.000050174025],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0006028101,0.00022486722,0.00034289612,0.00046979086,0.00019325725,0.0001412527,0.0007177052,0.00027990935,0.0000030462547],"category_scores_gemma":[0.0010644394,0.00014309195,0.000118042044,0.00062544993,0.000280006,0.00025535008,0.000118682976,0.0025387132,4.3194217e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018214242,0.00011405958,0.0013807354,0.00009661687,0.000004540208,0.0008988215,0.00038159458,0.0071223006,0.938595,0.0029175642,0.04693153,0.0013750691],"study_design_scores_gemma":[0.0015461307,0.002674988,0.03636043,0.004160039,0.00014823819,0.0026880354,0.000071085626,0.84219676,0.070577025,0.016049845,0.021607317,0.0019200839],"about_ca_topic_score_codex":0.0000033530532,"about_ca_topic_score_gemma":0.0000045579136,"teacher_disagreement_score":0.868018,"about_ca_system_score_codex":0.000049064616,"about_ca_system_score_gemma":0.0000658955,"threshold_uncertainty_score":0.9997625},"labels":[],"label_agreement":null},{"id":"W2904436729","doi":"10.1186/s12859-018-2470-1","title":"Towards a supervised classification of neocortical interneuron morphologies","year":2018,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Addiction and Mental Health","funders":"Horizon 2020 Framework Programme; Consejería de Educación, Juventud y Deporte, Comunidad de Madrid; Banco Bilbao Vizcaya Argentaria; Ministerio de Economía y Competitividad; École Polytechnique Fédérale de Lausanne; European Commission; Fundación BBVA","keywords":"Interneuron; Neuroscience; Neocortex; Biology; Computer science; Artificial intelligence","score_opus":0.08261878739241624,"score_gpt":0.29348978196076975,"score_spread":0.2108709945683535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904436729","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9149373,0.0000017811412,0.07317924,0.00020396254,0.00053554564,0.00021721408,0.000017340955,0.00010676872,0.010800858],"genre_scores_gemma":[0.9880944,0.000009995439,0.011260838,0.0004315272,0.000055187404,0.000006572213,0.000005202279,0.00000813245,0.00012816756],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990795,0.00003584181,0.00037458786,0.00012676079,0.0002147303,0.00016857711],"domain_scores_gemma":[0.99937683,0.00010389124,0.00014015047,0.00026776016,0.000066629065,0.00004473305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010609439,0.000098097116,0.00012236627,0.00008460203,0.000056445417,0.000039397237,0.0002278981,0.00006283467,0.00005954864],"category_scores_gemma":[0.0007075906,0.0000764824,0.000057813635,0.00022402736,0.00028023886,0.00025234252,0.00009787181,0.00008519936,0.0001458627],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031930214,0.00024485093,0.004648154,0.00034176162,0.0000073337937,0.000003610739,0.0014631314,0.00006213935,0.8584104,0.053067442,0.0022305339,0.079201326],"study_design_scores_gemma":[0.0002751095,0.0004132734,0.018965615,0.000016513493,0.000008386322,0.000022010363,0.00017272985,0.8728016,0.10576701,0.00073263847,0.0007100693,0.00011506101],"about_ca_topic_score_codex":0.000005391743,"about_ca_topic_score_gemma":0.0000055431847,"teacher_disagreement_score":0.87273943,"about_ca_system_score_codex":0.000019841327,"about_ca_system_score_gemma":0.000040536834,"threshold_uncertainty_score":0.3118862},"labels":[],"label_agreement":null},{"id":"W2906129311","doi":"10.1016/j.cub.2018.11.021","title":"Stable Delay Period Representations in the Posterior Parietal Cortex Facilitate Working-Memory-Guided Obstacle Negotiation","year":2018,"lang":"en","type":"article","venue":"Current Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Obstacle; Neuroscience; Working memory; Biology; Posterior parietal cortex; Task (project management); Obstacle avoidance; Neural substrate; Computer science; Cognition; Artificial intelligence","score_opus":0.10896252585610332,"score_gpt":0.3362859226544949,"score_spread":0.22732339679839159,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906129311","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99476707,0.00006774363,0.000600761,0.00096749753,0.00225198,0.00035208795,0.00003645298,0.000041849547,0.0009145832],"genre_scores_gemma":[0.9990541,0.00002478487,0.000019078994,0.00044346217,0.00015161184,0.000040362327,0.000055900953,0.000007098223,0.0002036467],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985515,0.00032135716,0.00027415494,0.00042067238,0.00010516119,0.00032715788],"domain_scores_gemma":[0.99933106,0.00019608773,0.0001113384,0.0002817636,0.000044515968,0.000035250345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002293466,0.0001201728,0.00012333911,0.00007951638,0.00027452555,0.000053896812,0.00024133534,0.000055892022,0.00009613331],"category_scores_gemma":[0.00039411057,0.000085831394,0.000051478386,0.00034760532,0.00026268815,0.00012625942,0.00008339614,0.0001777089,0.00012700178],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019657794,0.00037767453,0.050854035,0.000025393556,0.000009739,0.000020873706,0.0065109446,0.00010930662,0.82822555,0.00896912,0.0029970147,0.10170377],"study_design_scores_gemma":[0.0053116013,0.002897937,0.6009895,0.00012812782,0.000091963826,0.0007809897,0.0030866975,0.073470786,0.039480604,0.018319545,0.2536082,0.001834028],"about_ca_topic_score_codex":0.0000646514,"about_ca_topic_score_gemma":0.00016826316,"teacher_disagreement_score":0.7887449,"about_ca_system_score_codex":0.000036494806,"about_ca_system_score_gemma":0.000032431606,"threshold_uncertainty_score":0.35001028},"labels":[],"label_agreement":null},{"id":"W2906951038","doi":"10.1101/512871","title":"In-silico Exploration of Mouse Brain Dynamics by Stimulation explains Functional Networks and Sensory Processing","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Neuroscience; Stimulation; Sensory system; In silico; Sensory stimulation therapy; Attractor; Functional connectivity; Computer science; Sensory processing; Brain stimulation; Network dynamics; Biology; Mathematics","score_opus":0.026304575870720916,"score_gpt":0.2308056704270682,"score_spread":0.2045010945563473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906951038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9513404,0.00014789314,0.04616951,0.00042883065,0.0008096762,0.00078626827,0.00018410904,0.00012725643,0.0000060966845],"genre_scores_gemma":[0.9987763,0.00017551266,0.00023587426,0.00044456366,0.000158969,0.00007133903,0.0000034511716,0.00008741273,0.00004657789],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99739563,0.0002105865,0.0005973743,0.0010121799,0.0004260397,0.00035820992],"domain_scores_gemma":[0.9983719,0.00023235203,0.00058124284,0.00049854844,0.00020616333,0.00010980719],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00041341918,0.00039751583,0.0004381669,0.00032806452,0.00013055207,0.00017686714,0.00019334533,0.00045307618,0.000009237667],"category_scores_gemma":[0.00035098393,0.00045821053,0.00006931792,0.0004645742,0.00012652787,0.00086488196,0.00023805707,0.00067796244,0.000005812762],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008399734,0.0001451546,0.002496359,0.0003137038,0.000008779883,0.000004570997,0.000010026277,0.059899073,0.935966,0.00093671924,0.00012049023,0.000015142054],"study_design_scores_gemma":[0.00068406056,0.00008052792,0.012184956,0.00024768524,0.000025531144,3.079741e-8,0.0000060970656,0.8090423,0.17702642,0.000016895709,0.000108955355,0.00057654275],"about_ca_topic_score_codex":0.0000217117,"about_ca_topic_score_gemma":0.000007506391,"teacher_disagreement_score":0.75893956,"about_ca_system_score_codex":0.00027766032,"about_ca_system_score_gemma":0.00017516196,"threshold_uncertainty_score":0.999787},"labels":[],"label_agreement":null},{"id":"W2907944200","doi":"10.3758/s13415-018-00682-z","title":"Revisiting foraging approaches in neuroscience","year":2019,"lang":"en","type":"review","venue":"Cognitive Affective & Behavioral Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"New Zealand Government; Clarendon Fund; University of Oxford; McMaster University","keywords":"Foraging; Neuroeconomics; Task (project management); Psychology; Behavioural sciences; Maximization; Cognitive psychology; Computational neuroscience; Behavioral neuroscience; Systems neuroscience; Intertemporal choice; Cognitive science; Optimal foraging theory; Computational model; Neuroscience; Computer science; Artificial intelligence; Ecology; Social psychology; Biology","score_opus":0.3066994417294094,"score_gpt":0.3970247487656229,"score_spread":0.0903253070362135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907944200","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027902132,0.93946946,0.0019795026,0.0000958237,0.008972519,0.014524325,0.0007777374,0.0008049087,0.005473569],"genre_scores_gemma":[0.15410466,0.84336495,0.000018554614,0.000836847,0.00022357862,0.0006279074,0.000029697923,0.00021456463,0.0005792025],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99092025,0.0015063507,0.0010010451,0.003964793,0.0010828801,0.0015246865],"domain_scores_gemma":[0.99649256,0.0014800818,0.00094318454,0.00069852703,0.00009677175,0.0002888452],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00088647456,0.0012027906,0.0020981557,0.001143728,0.0005787598,0.00061624916,0.001490919,0.00032925623,0.000013518596],"category_scores_gemma":[0.0028206178,0.0010647223,0.000718896,0.004470621,0.001055955,0.001450722,0.000971913,0.0019544552,0.00014854467],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015078595,0.00026269973,0.00020391184,0.0016426768,7.2157127e-7,0.00037383102,0.000060633178,0.000011623199,0.003580549,0.0003870395,0.000005152684,0.99345607],"study_design_scores_gemma":[0.0062757353,0.0074630557,0.012624869,0.119643465,0.0039476184,0.0059643514,0.00082024484,0.02848411,0.0067191245,0.0008925928,0.7875033,0.01966153],"about_ca_topic_score_codex":0.000024136269,"about_ca_topic_score_gemma":0.000005866936,"teacher_disagreement_score":0.9737946,"about_ca_system_score_codex":0.00036320393,"about_ca_system_score_gemma":0.00040428966,"threshold_uncertainty_score":0.9991803},"labels":[],"label_agreement":null},{"id":"W2908062520","doi":"","title":"Fonctionnement du circuit neuronal de la peur chez les jeunes anxieux, à risque d'anxiété et en bonne santé mentale","year":2018,"lang":"fr","type":"article","venue":"Archipelago (University of Quebec in Montreal)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Humanities; Psychology; Art","score_opus":0.011829910987281185,"score_gpt":0.22390683531186767,"score_spread":0.2120769243245865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908062520","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9866395,0.00011069573,0.0026659337,0.0032870397,0.0006850026,0.0003452045,0.00011625295,0.000052976367,0.0060974043],"genre_scores_gemma":[0.99254435,0.00070275227,0.00039027949,0.00043999788,0.00021126392,0.000001423177,0.000022647448,0.000028363116,0.0056589353],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9966026,0.0014968897,0.000278629,0.00067084294,0.0003904513,0.0005605925],"domain_scores_gemma":[0.99831337,0.0008390643,0.00024827762,0.00035092523,0.000063165724,0.00018519173],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00084965513,0.0003024161,0.00035111888,0.00032032956,0.00048096068,0.000057239675,0.0005245937,0.00020622894,0.0003942279],"category_scores_gemma":[0.00017993775,0.0003857274,0.00020447899,0.00043096187,0.0012674792,0.0004977989,0.00035786218,0.0005079765,0.00005503281],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011658588,0.0029629532,0.06871751,0.0003279414,0.00012111156,0.0009834083,0.07900477,0.0015875932,0.1281705,0.06275571,0.002807446,0.6513952],"study_design_scores_gemma":[0.0030060366,0.00094704574,0.9202112,0.00020491381,0.00012673925,0.0001644669,0.022102939,0.025486749,0.0025264258,0.02017458,0.0044969306,0.00055196875],"about_ca_topic_score_codex":0.2729367,"about_ca_topic_score_gemma":0.70586836,"teacher_disagreement_score":0.8514937,"about_ca_system_score_codex":0.00036900217,"about_ca_system_score_gemma":0.00019442523,"threshold_uncertainty_score":0.99985945},"labels":[],"label_agreement":null},{"id":"W2908065772","doi":"10.1016/j.heares.2018.12.013","title":"The onset and post-onset auditory responses of cochlear nucleus neurons are modulated differently by cortical activation","year":2018,"lang":"en","type":"article","venue":"Hearing Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Auditory cortex; Cochlear nucleus; Neuroscience; Nucleus; Auditory system; Stimulation; Cochlear nerve; Electrophysiology; Biology; Psychology; Cochlea","score_opus":0.08811507570119982,"score_gpt":0.3552995161820997,"score_spread":0.2671844404808999,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908065772","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972152,0.000008423757,0.000018994677,0.002126383,0.0002084855,0.00023349414,0.00005095333,0.000037620906,0.00010042694],"genre_scores_gemma":[0.9983536,0.00005579343,0.0000060141942,0.00015828932,0.0000719059,0.000009913747,0.000003430855,0.00001943218,0.0013215988],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99768823,0.00080428104,0.0001832612,0.00035113626,0.0005874971,0.00038561146],"domain_scores_gemma":[0.9963484,0.0029460234,0.000057271347,0.0003198078,0.00022197235,0.00010653819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068486016,0.00009301824,0.000111920126,0.00009737716,0.0009671288,0.00013380243,0.00019639984,0.00006886903,0.00002193963],"category_scores_gemma":[0.0054318206,0.000068028814,0.000026684522,0.00033115936,0.00089744286,0.00010335153,0.00022537171,0.00051090075,0.000025868689],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077141024,0.00006371053,0.0040780883,0.000013544227,0.000002769116,0.000004276601,0.000079457255,0.0000010571426,0.99047405,0.00015550674,0.0029809875,0.0013751748],"study_design_scores_gemma":[0.0002671361,0.0007618879,0.8130788,0.00004831859,0.0000029120285,0.000021817381,0.00012207298,0.009755354,0.1737173,0.0003140025,0.0018159086,0.0000944696],"about_ca_topic_score_codex":0.00010007838,"about_ca_topic_score_gemma":0.000016778275,"teacher_disagreement_score":0.8167567,"about_ca_system_score_codex":0.000044921595,"about_ca_system_score_gemma":0.000055111323,"threshold_uncertainty_score":0.743847},"labels":[],"label_agreement":null},{"id":"W2909266492","doi":"10.1523/jneurosci.2703-18.2019","title":"Alpha Oscillations Modulate Preparatory Activity in Marmoset Area 8Ad","year":2019,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research; Canada First Research Excellence Fund","keywords":"Marmoset; Saccade; Neuroscience; Macaque; Callithrix; Saccadic masking; Stimulus (psychology); Psychology; Frontal eye fields; Eye movement; Receptive field; Electrophysiology; Primate; Cognitive psychology; Biology","score_opus":0.040232623750147974,"score_gpt":0.2792426999089817,"score_spread":0.23901007615883374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909266492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959194,0.0000066590073,0.00025116187,0.0005444527,0.0019513596,0.00016335177,0.000007337701,0.000015011576,0.0011412575],"genre_scores_gemma":[0.9983265,0.000046702105,0.000035436387,0.00092655927,0.00004035187,0.0000012459196,7.85955e-8,0.000009746445,0.00061339856],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99831325,0.00015140384,0.00034381996,0.0003497291,0.0005621237,0.00027969715],"domain_scores_gemma":[0.99899226,0.00020278397,0.00038794448,0.00024530356,0.000057396097,0.00011429672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004064146,0.00012853848,0.00020508702,0.00027587882,0.000098102704,0.00009214222,0.0004076207,0.000043535012,0.000023059436],"category_scores_gemma":[0.0005812921,0.00010605485,0.00009511957,0.0007784594,0.000107930566,0.000992149,0.00008568619,0.00035136298,0.000022679878],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050828028,0.00009056755,0.006057667,0.000005252252,2.901554e-7,0.0000545576,0.000031861004,0.005771884,0.98680615,0.00016327937,0.00011184939,0.00085580593],"study_design_scores_gemma":[0.0011118028,0.0011654004,0.6346857,0.00007399075,0.000008641204,0.0007219505,0.000016996204,0.23041606,0.12347237,0.0015442946,0.0064045577,0.00037826443],"about_ca_topic_score_codex":0.0000040298946,"about_ca_topic_score_gemma":0.0000042770225,"teacher_disagreement_score":0.86333376,"about_ca_system_score_codex":0.00007459299,"about_ca_system_score_gemma":0.000108211374,"threshold_uncertainty_score":0.43247914},"labels":[],"label_agreement":null},{"id":"W2909444209","doi":"10.1016/j.plrev.2018.12.002","title":"Variational ecology and the physics of sentient systems","year":2019,"lang":"en","type":"review","venue":"Physics of Life Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":147,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canada First Research Excellence Fund; Social Sciences and Humanities Research Council of Canada; Wellcome Trust; McGill University","keywords":"Ecology; Heuristics; Systems ecology; Ecological niche; Theoretical ecology; Niche; Computer science; Dynamical systems theory; Living systems; Statistical physics; Artificial intelligence; Biology; Physics; Sociology; Applied ecology","score_opus":0.13662181341361504,"score_gpt":0.33407683189169435,"score_spread":0.1974550184780793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909444209","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000071366994,0.99567515,0.0004635509,0.000034448192,0.0011257213,0.0021671038,0.00010605743,0.000012516877,0.00040831743],"genre_scores_gemma":[0.00013382956,0.9990554,0.000033260185,0.0001098854,0.00036371982,0.00011187042,0.000027684293,0.000025803429,0.00013854857],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99713445,0.0009598792,0.0010754082,0.0003870982,0.00028434471,0.00015884478],"domain_scores_gemma":[0.995835,0.0013840892,0.0021715234,0.00050016877,0.00006723718,0.00004196805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064037397,0.00029174384,0.0025474108,0.000032487846,0.00005508336,0.000024777957,0.00033321884,0.00009203683,0.0000030985348],"category_scores_gemma":[0.0004491366,0.00016495681,0.00061501353,0.0003311039,0.00020644751,0.00008815403,0.00016560082,0.00024068594,0.000047137608],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015591433,0.00018655206,0.000008948175,0.08974719,0.00010185954,4.229599e-7,0.0000439272,0.00011567195,0.000046318484,0.37591484,0.0013371075,0.53248155],"study_design_scores_gemma":[0.00032460594,0.00005286331,0.000002205804,0.004267094,0.0006482263,0.0000067879123,0.0000016446772,0.004558815,0.0000030493788,0.0016083521,0.9883199,0.00020645274],"about_ca_topic_score_codex":0.000008661898,"about_ca_topic_score_gemma":2.0656779e-7,"teacher_disagreement_score":0.9869828,"about_ca_system_score_codex":0.00002536269,"about_ca_system_score_gemma":0.00014773975,"threshold_uncertainty_score":0.67267436},"labels":[],"label_agreement":null},{"id":"W2909820449","doi":"10.3389/fncir.2018.00118","title":"Dominant Patterns of Information Flow in the Propagation of the Neuromagnetic Somatosensory Steady-State Response","year":2019,"lang":"en","type":"article","venue":"Frontiers in Neural Circuits","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of British Columbia; Baycrest Hospital; Simon Fraser University","funders":"Western Canada Research Grid; Compute Canada; James S. McDonnell Foundation","keywords":"Somatosensory system; Neuroscience; Magnetoencephalography; Thalamus; Psychology; Sensory stimulation therapy; Sensory system; Human brain; Stimulation; Brain mapping; Electroencephalography","score_opus":0.010833250900762597,"score_gpt":0.2047844819939336,"score_spread":0.193951231093171,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909820449","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970834,0.000010381029,0.00018218793,0.00040229192,0.0012485384,0.0009091801,0.000031745567,0.000008195777,0.00012402915],"genre_scores_gemma":[0.9994116,0.000012865481,0.000009236553,0.00043084298,0.000007130505,0.000016993126,0.000002461495,0.000008482751,0.00010040224],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998026,0.0007159441,0.0004721386,0.00018529508,0.0003959878,0.0002046197],"domain_scores_gemma":[0.9990573,0.00023931966,0.00029270057,0.00036114905,0.00003228216,0.000017280601],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041725935,0.00012164466,0.00018555108,0.00020757441,0.000039921088,0.000026200865,0.00039510263,0.00004511053,0.00000453049],"category_scores_gemma":[0.0004188284,0.00007568508,0.00006742967,0.0005136457,0.00007239285,0.000411078,0.00005038054,0.00022974268,0.0000043134523],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006867205,0.00013508048,0.1316204,0.00028127848,0.0000026452574,0.000014594606,0.004710573,0.011676042,0.8157782,0.00020489408,0.00021050047,0.0346791],"study_design_scores_gemma":[0.0013702317,0.00037709516,0.74275464,0.00011556828,0.000007640208,0.000033973403,0.0005587567,0.17343906,0.08051033,0.00050823344,0.00015493944,0.00016954137],"about_ca_topic_score_codex":0.000020431129,"about_ca_topic_score_gemma":0.000011092706,"teacher_disagreement_score":0.7352678,"about_ca_system_score_codex":0.000036666403,"about_ca_system_score_gemma":0.00003423803,"threshold_uncertainty_score":0.3086348},"labels":[],"label_agreement":null},{"id":"W2909955913","doi":"10.1101/521567","title":"The emergence of integrated information, complexity, and consciousness at criticality","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Canada Excellence Research Chairs, Government of Canada","keywords":"Consciousness; Ising model; Statistical physics; Criticality; Phase transition; Computer science; Complex system; Theoretical physics; Artificial neural network; Theoretical computer science; Physics; Cognitive science; Mathematics; Artificial intelligence; Epistemology; Psychology; Quantum mechanics; Philosophy","score_opus":0.02723952452256171,"score_gpt":0.24161758147260684,"score_spread":0.21437805695004514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909955913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99448365,0.00011281012,0.0012246277,0.00074909104,0.0019251005,0.0006631032,0.0006710248,0.00012845521,0.00004214008],"genre_scores_gemma":[0.99902165,0.00031745312,0.00013996892,0.00041316287,0.000038644288,0.0000378194,4.5175761e-7,0.00002307066,0.0000078069215],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998009,0.00021120544,0.0005831604,0.00048357242,0.0003840055,0.00032903353],"domain_scores_gemma":[0.99780405,0.00033370111,0.00039650899,0.000833048,0.0005072207,0.0001254542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049266283,0.00029623808,0.00034413396,0.00009600829,0.00035270466,0.00020741459,0.00050112203,0.00021191331,0.000041240804],"category_scores_gemma":[0.0013632255,0.00023091304,0.000078084915,0.00034554544,0.00072095986,0.00024638866,0.0008799856,0.00046724293,0.000041515144],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000076073076,0.000055290715,0.008965551,0.0005298497,0.000023202108,0.000004007909,0.000012832824,0.00006608758,0.9466048,0.04282648,0.00082984514,0.0000060197945],"study_design_scores_gemma":[0.00066562084,0.00011722801,0.15142909,0.00033239022,0.00008264948,1.17473654e-7,0.000016914211,0.024509815,0.8057416,0.00023231498,0.01587263,0.000999651],"about_ca_topic_score_codex":0.000072652874,"about_ca_topic_score_gemma":0.000008168253,"teacher_disagreement_score":0.14246354,"about_ca_system_score_codex":0.00008454495,"about_ca_system_score_gemma":0.00018814956,"threshold_uncertainty_score":0.941636},"labels":[],"label_agreement":null},{"id":"W2909979380","doi":"10.1038/s41467-018-08184-9","title":"Feature-specific prediction errors and surprise across macaque fronto-striatal circuits","year":2019,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; Natural Sciences and Engineering Research Council of Canada; Israel National Institute for Health Policy Research","keywords":"Macaque; Anterior cingulate cortex; Feature (linguistics); Striatum; Computer science; Feature selection; Surprise; Stimulus (psychology); Neuroscience; Artificial intelligence; Pattern recognition (psychology); Ventral striatum; Psychology; Cognitive psychology; Cognition; Communication","score_opus":0.029991332595897868,"score_gpt":0.28780539702410196,"score_spread":0.2578140644282041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909979380","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9821958,0.0017935241,0.00008901166,0.0071072285,0.0015807155,0.0007241915,0.0006307154,0.00024045279,0.0056383554],"genre_scores_gemma":[0.9957311,0.0015203914,0.00018759564,0.00061783445,0.00006699893,0.000024817886,0.00015363963,0.000022124512,0.0016754976],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988244,0.00015935156,0.00015696214,0.00039584664,0.00022522658,0.00023820467],"domain_scores_gemma":[0.9979741,0.00037456874,0.00011238187,0.0013905757,0.00006504526,0.0000833386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016004386,0.00015236654,0.00014748813,0.00006560729,0.0004593318,0.000121908306,0.000692205,0.000320218,0.000022330969],"category_scores_gemma":[0.00020524269,0.00014267523,0.000061902094,0.0003389606,0.00014658585,0.00033974156,0.0003450236,0.0012153342,0.000072709845],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001034196,0.00035809807,0.03882614,0.000044582303,0.00002949611,0.0000069918638,0.001288748,0.00007524229,0.8473975,0.052396532,0.029664544,0.029808704],"study_design_scores_gemma":[0.0017718936,0.00018187758,0.16504647,0.000071831644,0.000026850945,0.0001471209,0.00037291922,0.010862765,0.013354412,0.0010308417,0.80653304,0.00059995404],"about_ca_topic_score_codex":0.000009157232,"about_ca_topic_score_gemma":0.00015313976,"teacher_disagreement_score":0.8340431,"about_ca_system_score_codex":0.000067272966,"about_ca_system_score_gemma":0.000022587405,"threshold_uncertainty_score":0.5818127},"labels":[],"label_agreement":null},{"id":"W2910027655","doi":"10.1101/519454","title":"Stereotyped large amplitude cortical LFP events can be clustered and reveal precisely ordered phase-locking in neuronal populations","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Barrel cortex; Wakefulness; Local field potential; Electrophysiology; Visual cortex; Auditory cortex; Stimulus (psychology); Cortex (anatomy); Physics; Biology; Sensory system; Electroencephalography; Psychology","score_opus":0.04774258035593155,"score_gpt":0.2812885238306556,"score_spread":0.23354594347472407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910027655","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938931,0.000051262756,0.0013139107,0.00055385585,0.0018575626,0.0013319943,0.00080708653,0.000184158,0.0000071086547],"genre_scores_gemma":[0.9981325,0.00004595972,0.0005248058,0.00089036714,0.00016556487,0.00010117563,0.000002863791,0.000113075956,0.00002363743],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9959957,0.00043894022,0.0007554323,0.0015174234,0.00054210424,0.0007504063],"domain_scores_gemma":[0.99805653,0.00021311137,0.0004180634,0.00089545606,0.00014547406,0.000271366],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00047142644,0.0005448897,0.0006054816,0.00035339314,0.00025671985,0.00025516155,0.00045939308,0.00034046947,0.000029297822],"category_scores_gemma":[0.00080609316,0.0005911204,0.00011461976,0.0005070241,0.00008224993,0.00020786769,0.0007560497,0.0011747183,0.000014166206],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022562426,0.0005867884,0.05882833,0.0002812244,0.000024173149,0.000052763666,0.000024449848,0.0003070069,0.93804884,0.0015368983,0.00007754256,0.000006355068],"study_design_scores_gemma":[0.004517867,0.0002606696,0.93083847,0.00052185496,0.00011837613,2.696144e-7,0.0000036669667,0.033303823,0.027739989,0.000045467124,0.0012527598,0.001396797],"about_ca_topic_score_codex":0.00008219317,"about_ca_topic_score_gemma":0.00007320172,"teacher_disagreement_score":0.91030884,"about_ca_system_score_codex":0.00023755664,"about_ca_system_score_gemma":0.00030402513,"threshold_uncertainty_score":0.999654},"labels":[],"label_agreement":null},{"id":"W2910351681","doi":"10.1101/514414","title":"Afferent connections of the primary somatosensory cortex of the mouse for contextual and multisensory processing","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières; Hôpital du Sacré-Cœur de Montréal","funders":"","keywords":"Sensory system; Somatosensory system; Neuroscience; Barrel cortex; Stimulus modality; Context (archaeology); Sensory processing; Receptive field; Cortex (anatomy); Psychology; Biology","score_opus":0.024378207508200155,"score_gpt":0.2253236249260683,"score_spread":0.20094541741786814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910351681","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956053,0.00014224992,0.00044829774,0.0002560348,0.0011152789,0.0017826575,0.0005733287,0.000067914465,0.000008949605],"genre_scores_gemma":[0.99915457,0.00006815981,0.00022457051,0.00028511326,0.00007707639,0.00008341629,1.14688724e-7,0.00006382838,0.000043154556],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980702,0.00016090253,0.00048927346,0.0006615125,0.00034837757,0.00026975092],"domain_scores_gemma":[0.99755776,0.00032375497,0.00084903964,0.00088862283,0.00031654834,0.00006429352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022275296,0.0003080667,0.00046614787,0.00009146819,0.00025763913,0.00006906871,0.00048189372,0.00024688576,0.000003197694],"category_scores_gemma":[0.0006416668,0.00021677278,0.0002069254,0.00023513369,0.00041930616,0.00009044747,0.0005278303,0.00045293337,0.0000011278019],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004438069,0.00012451943,0.0021241326,0.000943721,0.000021419171,3.618089e-7,0.000014279528,0.00011867025,0.99524426,0.0013187523,0.00003859001,0.000006925389],"study_design_scores_gemma":[0.0005834765,0.000048233178,0.124889664,0.00038945852,0.00009292931,4.997673e-8,0.000007000873,0.004957169,0.86850923,0.0000073905258,0.00025233757,0.0002630629],"about_ca_topic_score_codex":0.000013358523,"about_ca_topic_score_gemma":0.0000030799179,"teacher_disagreement_score":0.12673502,"about_ca_system_score_codex":0.00009001724,"about_ca_system_score_gemma":0.00035783628,"threshold_uncertainty_score":0.8839737},"labels":[],"label_agreement":null},{"id":"W2911030693","doi":"10.1101/516021","title":"The population dynamics of a canonical cognitive circuit","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Attractor; Variable (mathematics); Computer science; Manifold (fluid mechanics); Representation (politics); Population; Topology (electrical circuits); Invertible matrix; Mathematics; Pure mathematics; Mathematical analysis","score_opus":0.022544748122636456,"score_gpt":0.23428858925686868,"score_spread":0.21174384113423222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911030693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99383634,0.0000934196,0.0015575107,0.00029610156,0.0025669986,0.0009440125,0.0005027843,0.00014656091,0.00005628637],"genre_scores_gemma":[0.99923474,0.00015777853,0.00003837771,0.00024026632,0.00016070915,0.000067758665,8.517512e-7,0.000077361845,0.000022186336],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99740523,0.00024906354,0.00054300897,0.00086153817,0.0005188431,0.00042232606],"domain_scores_gemma":[0.9974827,0.0006052391,0.00064505835,0.0008528134,0.00030014716,0.00011404144],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004514163,0.0003599326,0.0004084584,0.00013266852,0.00024508027,0.00018613253,0.00055130024,0.0003663969,0.000012225045],"category_scores_gemma":[0.00123429,0.00030305298,0.00018324528,0.00041254275,0.00018915374,0.000118107295,0.00043125165,0.00077577156,0.000038329967],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015076566,0.00020901428,0.02212493,0.00041292683,0.00008150597,0.000032293166,0.000007302337,0.00052388094,0.9156781,0.060671844,0.00007211127,0.00003532965],"study_design_scores_gemma":[0.001472609,0.00033704724,0.57560456,0.0011466651,0.0003287229,1.2262781e-7,0.000008879874,0.09600542,0.3220084,0.00024617036,0.000946623,0.0018947825],"about_ca_topic_score_codex":0.00012436848,"about_ca_topic_score_gemma":0.00002461913,"teacher_disagreement_score":0.5936697,"about_ca_system_score_codex":0.0003048193,"about_ca_system_score_gemma":0.0003693776,"threshold_uncertainty_score":0.9999422},"labels":[],"label_agreement":null},{"id":"W2911148009","doi":"10.1016/j.neuroscience.2019.01.004","title":"Neuronal Dynamics Underlying Communication Signals in a Weakly Electric Fish: Implications for Connectivity in a Pacemaker Network","year":2019,"lang":"en","type":"article","venue":"Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electric fish; Neuroscience; Fish <Actinopterygii>; Dynamics (music); Nerve net; Functional connectivity; Communication; Network dynamics; Psychology; Biology; Mathematics","score_opus":0.06424662950000423,"score_gpt":0.3098893100768015,"score_spread":0.24564268057679725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911148009","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990216,0.00000848894,0.003269244,0.0041423724,0.0003694329,0.0011785579,0.000024357088,0.000060823324,0.00073073024],"genre_scores_gemma":[0.99543244,0.000040149567,0.000083262916,0.0040778993,0.000015111778,0.00015379468,0.000005716875,0.000021395295,0.00017020713],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9978751,0.0002651437,0.00033122778,0.00075768604,0.0002090311,0.0005618361],"domain_scores_gemma":[0.9978338,0.0013840632,0.00017011947,0.00050698436,0.00003766984,0.00006739042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052362005,0.00017070402,0.00021000733,0.00021972363,0.00023904513,0.00013614736,0.00042739717,0.00007046395,0.000005401963],"category_scores_gemma":[0.0008879542,0.00017747459,0.00006348478,0.0020110693,0.000089481735,0.0004924903,0.0001025408,0.00034925624,0.00000717269],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006890714,0.00019768077,0.06828909,0.000019006537,2.908447e-7,0.0000026189857,0.000044218566,0.031788133,0.86447686,0.03266843,0.000112496666,0.0023322525],"study_design_scores_gemma":[0.00037703387,0.00018535812,0.5148499,0.000023657032,0.0000018613146,0.000019305553,0.000008080356,0.47557688,0.0011755319,0.0073941876,0.00021894102,0.0001692816],"about_ca_topic_score_codex":0.000035668567,"about_ca_topic_score_gemma":0.000533835,"teacher_disagreement_score":0.86330134,"about_ca_system_score_codex":0.00016821349,"about_ca_system_score_gemma":0.00009299564,"threshold_uncertainty_score":0.7237204},"labels":[],"label_agreement":null},{"id":"W2911187088","doi":"10.1101/522185","title":"Attention Promotes the Neural Encoding of Prediction Errors","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Centre of Excellence for Integrative Brain Function, Australian Research Council; Australian Research Council","keywords":"Stimulus (psychology); Sensory system; Predictive coding; Electroencephalography; Perception; Computer science; Encoding (memory); Neural coding; Cognition; Information processing; Artificial intelligence; Coding (social sciences); Psychology; Cognitive psychology; Machine learning; Neuroscience","score_opus":0.023447825301069054,"score_gpt":0.22528889217257655,"score_spread":0.2018410668715075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911187088","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921711,0.00006953011,0.0007316183,0.0005346502,0.0049188053,0.0010752953,0.00022699073,0.00025112327,0.000020903139],"genre_scores_gemma":[0.9991634,0.00007682332,0.00010233838,0.0001677344,0.00031571568,0.00008169658,4.1636997e-7,0.00007171661,0.000020181773],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9973841,0.00024568962,0.0005411688,0.000913338,0.0005336778,0.00038207963],"domain_scores_gemma":[0.9978735,0.00013801704,0.00066766544,0.0010270951,0.00020819483,0.000085538326],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005200627,0.0003797804,0.00036168433,0.00019926224,0.00021734934,0.00015617328,0.00060209946,0.00030377175,0.000018553694],"category_scores_gemma":[0.0005339053,0.00030317888,0.00021311024,0.00047907617,0.0001955019,0.00029999207,0.0004379688,0.0007708494,0.000032423577],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021059852,0.00006575023,0.0060116746,0.00022766294,0.000016288115,0.000005559744,0.0000063768566,0.00065219053,0.99215317,0.00075661606,0.00008071544,0.000002955959],"study_design_scores_gemma":[0.00037846022,0.00016785208,0.14979857,0.0003753511,0.000115453266,7.799164e-8,0.0000038105904,0.073181614,0.7748632,0.0000147856335,0.0005882043,0.0005126421],"about_ca_topic_score_codex":0.000027337823,"about_ca_topic_score_gemma":0.0000010722572,"teacher_disagreement_score":0.21728997,"about_ca_system_score_codex":0.00012452969,"about_ca_system_score_gemma":0.00014309204,"threshold_uncertainty_score":0.999942},"labels":[],"label_agreement":null},{"id":"W2911199495","doi":"10.1038/s41467-018-08194-7","title":"Activity in perceptual classification networks as a basis for human subjective time perception","year":2019,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":154,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"European Commission","keywords":"Perception; Salient; Computer science; Time perception; Artificial intelligence; Duration (music); Stimulus (psychology); Dimension (graph theory); Visual perception; Cognitive psychology; Psychology; Mathematics; Neuroscience","score_opus":0.040997708527174825,"score_gpt":0.3236774375740239,"score_spread":0.28267972904684907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911199495","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98861974,0.000025521666,0.00032155073,0.0024159916,0.00018882766,0.0009712075,0.000026763686,0.000087531706,0.00734287],"genre_scores_gemma":[0.99755394,0.0000718424,0.00024299063,0.0006602242,0.000046420915,0.00015488261,0.000089226945,0.000021625878,0.0011588681],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99885017,0.0002786529,0.00016658945,0.00036535593,0.00014529195,0.0001939434],"domain_scores_gemma":[0.99798715,0.0007540421,0.000114230534,0.0010205471,0.00008426805,0.00003973611],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025365074,0.00012725926,0.0001437843,0.00014749568,0.0003770012,0.00005808028,0.0005856175,0.00029188086,0.00009678552],"category_scores_gemma":[0.00036542476,0.00012767522,0.00008860189,0.00043552453,0.00009541432,0.00029291352,0.00013467624,0.0008440522,0.00014130106],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006150071,0.00021886983,0.0023987223,0.0000051991706,0.0000031672464,1.248675e-7,0.0002732419,0.0001178143,0.9709671,0.021649815,0.0002659169,0.0040385034],"study_design_scores_gemma":[0.0008211749,0.0003098367,0.59035,0.000046132194,0.00002365323,0.000009316885,0.0003806078,0.39807162,0.0026225946,0.002019876,0.00493743,0.0004078135],"about_ca_topic_score_codex":0.000045128858,"about_ca_topic_score_gemma":0.00030931333,"teacher_disagreement_score":0.9683445,"about_ca_system_score_codex":0.0002258294,"about_ca_system_score_gemma":0.000033141376,"threshold_uncertainty_score":0.5206444},"labels":[],"label_agreement":null},{"id":"W2912200613","doi":"10.1088/2057-1976/ab00a0","title":"Modeling biological refractory periods and synaptic depression in an artificial neuron","year":2019,"lang":"en","type":"article","venue":"Biomedical Physics & Engineering Express","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Depression (economics); Refractory (planetary science); Neuron; Neuroscience; Computer science; Psychology; Biology; Economics","score_opus":0.02985486946012025,"score_gpt":0.24858405739429912,"score_spread":0.21872918793417886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912200613","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.969107,0.000021405325,0.03008551,0.000029587844,0.0005015088,0.00013712145,0.0000055613764,0.00010549963,0.000006818586],"genre_scores_gemma":[0.9990331,0.000015347947,0.0006405242,0.000079624355,0.00018350162,0.00001221681,0.000009293359,0.000021339527,0.0000050743247],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99880314,0.000047395188,0.00019119834,0.00046920855,0.00021635498,0.00027273234],"domain_scores_gemma":[0.999529,0.00010621282,0.00002622043,0.00019835845,0.000009509405,0.00013069995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000091192254,0.0001524948,0.00017320826,0.00007028318,0.000040646944,0.000049920225,0.0001530128,0.000111920555,0.00000940457],"category_scores_gemma":[0.00010050022,0.00012815029,0.000031249587,0.00016390624,0.0000501894,0.0002277152,0.00010498617,0.00028897423,0.000010060539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000256698,0.0000974532,0.00020918022,0.000020295016,9.316165e-7,0.000013963462,0.00005166621,0.022450224,0.9744043,0.0004939537,0.0000014215124,0.002230988],"study_design_scores_gemma":[0.0001878967,0.0001607879,0.00082349754,0.00004178765,0.0000021182934,0.00000604256,0.000008824563,0.99399316,0.0037973183,0.00030683592,0.0004942853,0.00017746218],"about_ca_topic_score_codex":0.000009047192,"about_ca_topic_score_gemma":1.05240375e-7,"teacher_disagreement_score":0.9715429,"about_ca_system_score_codex":0.000024645838,"about_ca_system_score_gemma":0.000010021309,"threshold_uncertainty_score":0.5225817},"labels":[],"label_agreement":null},{"id":"W2912346207","doi":"10.1101/538736","title":"Necessary Conditions for Reliable Representation of Asynchronous Spikes Through a Single-layered Feedforward Network","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Brain Institute","funders":"","keywords":"Asynchronous communication; Computer science; Feed forward; Representation (politics); Artificial neural network; Artificial intelligence; Telecommunications","score_opus":0.03600122437843777,"score_gpt":0.25946480019405943,"score_spread":0.22346357581562165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912346207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.943447,0.00031964754,0.043560766,0.0005657467,0.006418745,0.003468025,0.0015499436,0.0005072656,0.00016285168],"genre_scores_gemma":[0.9937387,0.00019454441,0.0044413856,0.0004861017,0.00062262826,0.00034376237,0.000004847486,0.00013762708,0.000030378127],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99669033,0.00014518572,0.0007757898,0.0013235018,0.00043846405,0.0006266964],"domain_scores_gemma":[0.9967163,0.00045188027,0.0010029007,0.0012838751,0.0004254007,0.00011961343],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030135197,0.000494981,0.00074253813,0.00016710928,0.000285958,0.0002116141,0.0005625612,0.0004663618,0.000039238068],"category_scores_gemma":[0.00066470326,0.0005340776,0.00031861602,0.00073811464,0.00017963756,0.00042156436,0.00036645442,0.00048980775,0.00003612219],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000105085885,0.00019566501,0.0015146261,0.000515074,0.000040985648,0.000008718393,0.000008197193,0.022272572,0.968819,0.0042550354,0.0022634761,0.0000015351935],"study_design_scores_gemma":[0.0011378226,0.0004033979,0.007203707,0.00068800425,0.00019661432,8.067267e-8,0.000005939101,0.021783428,0.9636421,0.00042270098,0.0035703264,0.00094587693],"about_ca_topic_score_codex":0.00006553953,"about_ca_topic_score_gemma":0.0000024708133,"teacher_disagreement_score":0.050291713,"about_ca_system_score_codex":0.00022346237,"about_ca_system_score_gemma":0.0003484569,"threshold_uncertainty_score":0.9997111},"labels":[],"label_agreement":null},{"id":"W2912527124","doi":"10.1101/530352","title":"Spatial and feature-selective attention have distinct effects on population-level tuning","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Medical Research Council; Centre of Excellence in Cognition and its Disorders, Australian Research Council","keywords":"Stimulus (psychology); Visual cortex; Selective attention; Sharpening; Psychology; Population; N2pc; Cognitive psychology; Pattern recognition (psychology); Artificial intelligence; Computer science; Neuroscience; Visual attention; Perception; Cognition; Medicine","score_opus":0.01858887395020053,"score_gpt":0.22848122558201564,"score_spread":0.2098923516318151,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912527124","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924103,0.000042817755,0.003047809,0.00023543033,0.002697972,0.0011053699,0.00018700099,0.00024653337,0.000026786694],"genre_scores_gemma":[0.9986141,0.000029240175,0.00027565513,0.0003385273,0.0004992468,0.0000897957,0.0000016144713,0.00010583284,0.000045988494],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.997148,0.00026708393,0.00029394912,0.0013845499,0.00046724206,0.0004391767],"domain_scores_gemma":[0.9982571,0.00034823947,0.0004216935,0.0006620374,0.00014708914,0.0001638251],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002664776,0.0005301969,0.0004577485,0.0002774724,0.0003048973,0.00031541422,0.00026103717,0.00043269564,0.0000055258006],"category_scores_gemma":[0.00086282165,0.000528579,0.00012722977,0.00025885884,0.00006329279,0.00017497381,0.00032854133,0.0009703377,0.000042651693],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010006257,0.00007431676,0.054941416,0.0003432187,0.000027717753,0.00003764465,0.0000047135973,0.0001021996,0.9435357,0.0006767865,0.000113828755,0.000042428004],"study_design_scores_gemma":[0.0005052872,0.00016488507,0.834031,0.00042722124,0.00006072563,4.8633957e-8,4.0567974e-7,0.012896559,0.15116014,0.000013673698,0.00015084457,0.00058920385],"about_ca_topic_score_codex":0.0001502136,"about_ca_topic_score_gemma":0.00001315488,"teacher_disagreement_score":0.7923755,"about_ca_system_score_codex":0.00028068284,"about_ca_system_score_gemma":0.000093273135,"threshold_uncertainty_score":0.9997166},"labels":[],"label_agreement":null},{"id":"W2912645887","doi":"10.7554/elife.43114","title":"A causal role for the precuneus in network-wide theta and gamma oscillatory activity during complex memory retrieval","year":2019,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":102,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"CTBS; Magnetoencephalography; Neuroscience; Precuneus; Psychology; Coupling (piping); Physics; Transcranial magnetic stimulation; Stimulation; Electroencephalography; Cognition","score_opus":0.02599817360848742,"score_gpt":0.24775721420420754,"score_spread":0.22175904059572013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912645887","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99755704,0.000054813274,0.00003167996,0.0005621554,0.0005083656,0.00060855603,0.000010061827,0.000035694142,0.0006316373],"genre_scores_gemma":[0.9982557,0.000038981267,0.00000982689,0.0005554699,0.00015700249,0.0000118876615,7.863989e-7,0.000016032878,0.0009542725],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989792,0.00009121574,0.00012300367,0.000329289,0.0002002351,0.00027706477],"domain_scores_gemma":[0.9988886,0.00075052225,0.00006993026,0.00022938939,0.000016112299,0.00004545603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030846716,0.00011005064,0.00013824608,0.000031735057,0.00017222323,0.000051452018,0.000113577145,0.00004753511,0.000019302603],"category_scores_gemma":[0.00025567878,0.000079902464,0.0000436126,0.00014676413,0.000059159112,0.00012930516,0.000110028435,0.00017026655,0.000012042979],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006789807,0.000039037724,0.016681153,0.00003666387,0.000006537945,0.000006518718,0.00018177809,0.0035013473,0.9768322,0.0004132682,0.00037066752,0.0012518587],"study_design_scores_gemma":[0.0017913933,0.00023031382,0.6916146,0.00003512413,0.00001554032,0.000036536247,0.00007145716,0.2036236,0.09619586,0.0006558461,0.0053873947,0.00034229725],"about_ca_topic_score_codex":0.000020509005,"about_ca_topic_score_gemma":0.0000646153,"teacher_disagreement_score":0.88063633,"about_ca_system_score_codex":0.000034458637,"about_ca_system_score_gemma":0.000022940669,"threshold_uncertainty_score":0.32583278},"labels":[],"label_agreement":null},{"id":"W2913277442","doi":"10.1101/534651","title":"Multi-Neuromodulator Measurements across Fronto-Striatal Network Areas of the Behaving Macaque using Solid-Phase Microextraction","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Neuroscience; Dopamine; Acetylcholine; Striatum; Microdialysis; Macaque; Psychology; Cholinergic; Glutamate receptor; Chemistry; Biology; Pharmacology; Biochemistry","score_opus":0.06514496032743262,"score_gpt":0.30897816338633105,"score_spread":0.24383320305889844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913277442","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98451895,0.00008841246,0.0051092505,0.000045617846,0.00790897,0.0014315023,0.00073244417,0.00016322716,0.000001633196],"genre_scores_gemma":[0.99785584,0.000032312655,0.0011611716,0.00021756544,0.00051881484,0.000045066892,6.0351306e-7,0.00015813582,0.000010498708],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99563485,0.00042701993,0.00086944905,0.0014253167,0.0008061589,0.00083717745],"domain_scores_gemma":[0.99632734,0.00010955564,0.001396859,0.0016325194,0.0003459665,0.00018773436],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006296499,0.0006614665,0.00066621206,0.00011187742,0.0005109388,0.00029914576,0.00095732446,0.0005336342,0.000017455937],"category_scores_gemma":[0.0006327337,0.0006044703,0.00037891383,0.00054308877,0.00018473149,0.0003403257,0.000973671,0.0011555688,0.000018701885],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008193365,0.00031972767,0.013935833,0.00016514312,0.000041013485,0.000015282909,0.0000087867675,0.008367256,0.9770128,0.000012056751,0.000036464287,0.000003674361],"study_design_scores_gemma":[0.0013639815,0.000058093352,0.06573637,0.000536312,0.00014167764,2.1854372e-7,0.0000018527214,0.040577307,0.8907215,9.903758e-7,0.00022314493,0.00063856],"about_ca_topic_score_codex":0.00013625645,"about_ca_topic_score_gemma":0.000015497773,"teacher_disagreement_score":0.086291336,"about_ca_system_score_codex":0.00047640453,"about_ca_system_score_gemma":0.00041412,"threshold_uncertainty_score":0.99964064},"labels":[],"label_agreement":null},{"id":"W2914691171","doi":"10.1093/cercor/bhy345","title":"Selective Modulation of Early Visual Cortical Activity by Movement Intention","year":2018,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; University of Alberta; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Functional magnetic resonance imaging; Neuroscience; Visual cortex; Psychology; Posterior parietal cortex; Eye movement; Brain activity and meditation; Computer science; Electroencephalography","score_opus":0.01985913515369388,"score_gpt":0.2756944342754331,"score_spread":0.25583529912173925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914691171","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99231946,0.0000010055687,0.0059323814,0.000073641524,0.00041786378,0.00021632011,0.000014257995,0.000047933903,0.0009771482],"genre_scores_gemma":[0.9991388,0.0000017616022,0.000020190368,0.00024524375,0.00006905664,0.000006999362,0.000006162254,0.000011882539,0.0004999396],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99893856,0.0000968615,0.0001795856,0.00033226833,0.00026180208,0.00019090786],"domain_scores_gemma":[0.99953216,0.000056195026,0.00013113208,0.000119045886,0.00010228719,0.000059150614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008616321,0.0001066196,0.00012538064,0.00005443463,0.00012431366,0.000027891889,0.000082544626,0.000059921345,0.00009439261],"category_scores_gemma":[0.00014391345,0.00009751567,0.00005840001,0.0002542318,0.00015318279,0.00026384092,0.00005172644,0.00013744515,0.00004094826],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001691116,0.0001343763,0.006266171,0.000005498327,0.0000041803632,4.2128542e-7,0.000039851577,0.0000016620196,0.9855485,0.0012652962,0.00024165587,0.0063232533],"study_design_scores_gemma":[0.0002696766,0.0009310971,0.4623512,0.0000076054976,0.000007350978,0.0000012355301,0.000007261699,0.053667013,0.48133528,0.0012978837,0.00002519693,0.000099197714],"about_ca_topic_score_codex":0.00009318182,"about_ca_topic_score_gemma":0.000018446728,"teacher_disagreement_score":0.5042133,"about_ca_system_score_codex":0.00006334285,"about_ca_system_score_gemma":0.000018004721,"threshold_uncertainty_score":0.39765736},"labels":[],"label_agreement":null},{"id":"W2914842949","doi":"10.1103/physreve.99.032402","title":"Interspike interval correlations in networks of inhibitory integrate-and-fire neurons","year":2019,"lang":"en","type":"article","venue":"Physical review. E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Bundesministerium für Bildung und Forschung","keywords":"Inhibitory postsynaptic potential; Oscillation (cell signaling); Conductance; Statistical physics; Noise (video); Correlation; Physics; Interval (graph theory); Current (fluid); Mathematics; Diffusion; Biological system; Computer science; Neuroscience; Artificial intelligence; Chemistry; Biology; Combinatorics; Quantum mechanics","score_opus":0.018665711825921204,"score_gpt":0.29138214703803056,"score_spread":0.27271643521210936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914842949","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99707323,0.00046514388,0.00021859107,0.00054584374,0.0004612855,0.0003323996,0.0000039915926,0.000020257854,0.0008792722],"genre_scores_gemma":[0.9971083,0.0015783865,0.0000057455213,0.0010541494,0.00005100702,0.000012597476,0.0000029729158,0.000011318639,0.00017553348],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990841,0.0001217261,0.00025545683,0.00027689026,0.00011888919,0.00014289396],"domain_scores_gemma":[0.9993424,0.00029796668,0.00010882679,0.00018455778,0.000019539415,0.000046698173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009840724,0.00011348026,0.00029272528,0.000037483376,0.00002058249,0.0000116249375,0.000114054026,0.00002279277,0.00002339814],"category_scores_gemma":[0.00029279976,0.00008975417,0.00010527691,0.00029258447,0.000074982614,0.00014454317,0.00010199212,0.00030968885,0.000050804687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002072924,0.001625322,0.033441737,0.0023317668,0.000021237442,0.000032138334,0.00091871107,0.0031418432,0.5635558,0.126971,0.0038064686,0.26394668],"study_design_scores_gemma":[0.0003762623,0.00035962774,0.01614892,0.002310505,0.000029719475,0.000010574617,0.00002328709,0.9741609,0.0017969217,0.002372877,0.0021506364,0.00025974173],"about_ca_topic_score_codex":0.000014181489,"about_ca_topic_score_gemma":0.000007589673,"teacher_disagreement_score":0.9710191,"about_ca_system_score_codex":0.00002017726,"about_ca_system_score_gemma":0.00001124564,"threshold_uncertainty_score":0.36600688},"labels":[],"label_agreement":null},{"id":"W2914870307","doi":"10.1073/pnas.1820941116","title":"Reply to Rajendran and Schnupp: Frequency tagging is sensitive to the temporal structure of signals","year":2019,"lang":"en","type":"letter","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; International Laboratory for Brain, Music and Sound Research","funders":"","keywords":"Beat (acoustics); Rhythm; Amplitude; Tone (literature); Acoustics; Metre; Physics; Speech recognition; Computer science; Optics; Quantum mechanics","score_opus":0.038006432412459816,"score_gpt":0.28499344288080897,"score_spread":0.24698701046834914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914870307","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34527057,0.000010781103,0.0000013407298,0.65293306,0.000100025085,0.00056959223,0.00028167205,0.000008734489,0.0008242056],"genre_scores_gemma":[0.6306505,0.000005380883,0.000284099,0.36841232,0.00025076288,0.0000032330845,3.2482592e-7,0.0000074147288,0.0003859342],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99690133,0.000024903757,0.00043198382,0.0006127922,0.0017959622,0.00023302074],"domain_scores_gemma":[0.99845356,0.00038150136,0.0007719545,0.00002629991,0.0003338292,0.0000328719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007499053,0.00019768508,0.0002999178,0.00032517186,0.00025991965,0.000069040325,0.0010733109,0.00018748578,0.000013635113],"category_scores_gemma":[0.0014468692,0.00011175726,0.00009937289,0.0011085897,0.00064528175,0.0003396035,0.00031081398,0.00066881103,0.0000020678792],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001082125,0.000004308756,0.00021202996,0.000094939016,0.0000062898926,4.6509765e-8,0.00028594345,0.00005378814,0.8542778,0.0019270709,0.1430246,0.00010240927],"study_design_scores_gemma":[0.000110767556,0.00018435597,0.002485887,0.00037456234,0.000024001038,0.000042272517,0.0001005488,0.0006623446,0.9548758,0.017003953,0.023894364,0.00024109945],"about_ca_topic_score_codex":0.000030382922,"about_ca_topic_score_gemma":1.2458493e-7,"teacher_disagreement_score":0.28537995,"about_ca_system_score_codex":0.000033770557,"about_ca_system_score_gemma":0.00005128345,"threshold_uncertainty_score":0.45573288},"labels":[],"label_agreement":null},{"id":"W2915245702","doi":"10.1016/j.ijpsycho.2019.02.006","title":"Sex differences in event-related potential (ERP) waveforms of primary psychotic disorders: A systematic review","year":2019,"lang":"en","type":"review","venue":"International Journal of Psychophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Saint Vincent University; University of Manitoba; Dalhousie University","funders":"","keywords":"Psychology; Psychosis; Schizophrenia (object-oriented programming); Event-related potential; Clinical psychology; Electrophysiology; Electroencephalography; Psychiatry; Developmental psychology; Neuroscience","score_opus":0.034340054605438805,"score_gpt":0.3281436115090142,"score_spread":0.2938035569035754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915245702","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011419056,0.99056,0.00008478399,0.00021956902,0.0065380665,0.001162688,0.000048182897,0.00000832403,0.00023646963],"genre_scores_gemma":[0.009457861,0.9896502,0.000013468018,0.00035547387,0.00014014501,0.000024437524,0.00002672461,0.000029380968,0.00030234663],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99547,0.0006962157,0.0025708235,0.00038797353,0.0006548292,0.00022020002],"domain_scores_gemma":[0.99543166,0.00046691342,0.0035939806,0.00029978494,0.00015058671,0.000057078323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004308562,0.00036113156,0.0029900966,0.00062642357,0.000018970295,0.00002391906,0.0012929741,0.00023014871,0.000079370024],"category_scores_gemma":[0.0003492221,0.0002271629,0.001028276,0.00035789303,0.00010365119,0.00019382017,0.0000883658,0.00068654754,0.000050613748],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023898827,0.001264212,0.00001207499,0.8505293,0.001059682,0.00015336217,0.00007718007,0.00004611596,0.0044543943,0.0007134867,0.000417203,0.14103396],"study_design_scores_gemma":[0.002086882,0.0013666117,0.00016956952,0.97727364,0.0017592838,0.0020216913,0.000020256995,0.00039660835,0.0000124923445,0.009702084,0.0043805414,0.0008103287],"about_ca_topic_score_codex":0.0000045851234,"about_ca_topic_score_gemma":0.0000013274104,"teacher_disagreement_score":0.14022364,"about_ca_system_score_codex":0.00015088196,"about_ca_system_score_gemma":0.00017056576,"threshold_uncertainty_score":0.92634344},"labels":[],"label_agreement":null},{"id":"W2915297179","doi":"10.1016/j.nlm.2019.02.009","title":"DREADD-mediated modulation of locus coeruleus inputs to mPFC improves strategy set-shifting","year":2019,"lang":"en","type":"article","venue":"Neurobiology of Learning and Memory","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institute of Mental Health","keywords":"Locus coeruleus; Neuroscience; Tonic (physiology); Disengagement theory; Prefrontal cortex; Psychology; Set (abstract data type); Cognition; Computer science; Nucleus; Medicine","score_opus":0.015584151646312458,"score_gpt":0.2515676536661759,"score_spread":0.23598350201986343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915297179","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99846786,0.000011483559,0.0000391658,0.00015074878,0.0003369463,0.00019447472,0.000007753724,0.000044800403,0.0007467389],"genre_scores_gemma":[0.9990283,0.000021154334,0.000021770671,0.00022652713,0.00002542045,0.0000025618517,0.000012038022,0.00001351558,0.0006486814],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989186,0.00020202878,0.00025079315,0.0003537682,0.0000820182,0.00019277039],"domain_scores_gemma":[0.9991792,0.00039823126,0.00020802103,0.00011712349,0.00004427717,0.00005316171],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017879537,0.00011695223,0.00023051913,0.00012487826,0.000060551694,0.0000088975285,0.00008819236,0.00009641702,0.000019428971],"category_scores_gemma":[0.00044296464,0.00010512575,0.000035851124,0.00016967343,0.000099036624,0.000070876864,0.000068679125,0.0002391713,0.000018825065],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006774595,0.00001863948,0.0039830673,0.000034626548,0.0000029247567,0.0000013394988,0.00012107797,0.0046122926,0.98507357,0.00006690984,0.000008894293,0.006008932],"study_design_scores_gemma":[0.0014959166,0.0042863586,0.06037369,0.00009001254,0.000024536988,0.000043465436,0.00022346734,0.029854447,0.90223926,0.00013732137,0.00081614015,0.00041539926],"about_ca_topic_score_codex":0.000019949399,"about_ca_topic_score_gemma":0.000002434081,"teacher_disagreement_score":0.0828343,"about_ca_system_score_codex":0.000006492488,"about_ca_system_score_gemma":0.000022089855,"threshold_uncertainty_score":0.42869037},"labels":[],"label_agreement":null},{"id":"W2915562407","doi":"10.1523/eneuro.0371-18.2018","title":"The Effects of Methylphenidate (Ritalin) on the Neurophysiology of the Monkey Caudal Prefrontal Cortex","year":2019,"lang":"en","type":"article","venue":"eNeuro","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; McGill University; Douglas Mental Health University Institute; Ottawa Hospital; University of Ottawa; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Methylphenidate; Neuroscience; Neurochemical; Prefrontal cortex; Macaque; Premovement neuronal activity; Psychology; Neurophysiology; Primate; Dopamine; Attention deficit hyperactivity disorder; Cognition; Psychiatry","score_opus":0.007481279722002134,"score_gpt":0.20683114039491948,"score_spread":0.19934986067291735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915562407","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99565995,0.00001074277,0.0000019712402,0.00068408786,0.002259942,0.00045917672,0.000011899429,0.00001405191,0.00089815125],"genre_scores_gemma":[0.9970618,0.00003485078,0.000001152599,0.0013245707,0.000038342496,0.000010736684,4.7809175e-7,0.000016342954,0.001511711],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99861956,0.0004762427,0.0001893232,0.00027078655,0.00025904353,0.00018502733],"domain_scores_gemma":[0.996597,0.0025580921,0.00018691026,0.0006140649,0.000022732243,0.000021193306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008645964,0.00012274648,0.00014329828,0.000017968629,0.0001494567,0.000015180131,0.0005605078,0.000033594595,0.000011833549],"category_scores_gemma":[0.0008489022,0.00005262383,0.00012635985,0.0001737537,0.00021669167,0.000041786505,0.00018296637,0.00023103014,0.000029361841],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007168447,0.000036195455,0.00010789365,0.000015992238,0.0000037850289,0.0000024252115,0.000038501057,0.00014632921,0.9931628,0.0056995456,0.00013148613,0.000583366],"study_design_scores_gemma":[0.00027474665,0.0008330357,0.08993961,0.000018198807,0.000014276447,0.0000075186285,0.000010519782,0.0032452347,0.9028068,0.0012868852,0.0014771769,0.00008599966],"about_ca_topic_score_codex":0.000023763518,"about_ca_topic_score_gemma":0.0000049518358,"teacher_disagreement_score":0.090356,"about_ca_system_score_codex":0.0000072069183,"about_ca_system_score_gemma":0.000018118619,"threshold_uncertainty_score":0.21459375},"labels":[],"label_agreement":null},{"id":"W2917340346","doi":"10.1503/jpn.170226","title":"Spontaneous low-frequency fluctuations in the neural system for emotional perception in major psychiatric disorders: amplitude similarities and differences across frequency bands","year":2019,"lang":"en","type":"article","venue":"Journal of Psychiatry and Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bipolar disorder; Schizophrenia (object-oriented programming); Psychology; Major depressive disorder; Balance (ability); Audiology; Perception; Psychiatry; Neural correlates of consciousness; Clinical psychology; Neuroscience; Medicine; Cognition","score_opus":0.015581639413052437,"score_gpt":0.26300870497409573,"score_spread":0.2474270655610433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2917340346","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992985,0.00014278511,0.00034223145,0.0032750317,0.0027274694,0.00041515785,0.00003629748,0.000009991127,0.00006600667],"genre_scores_gemma":[0.9985862,0.00018592372,0.00028017582,0.00076381536,0.0001397804,0.000011661328,8.7525984e-7,0.000008985917,0.000022630376],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981534,0.00019809206,0.00053633034,0.00039856017,0.0003933202,0.00032033306],"domain_scores_gemma":[0.99910665,0.00034875725,0.00028779608,0.00015045327,0.000038893435,0.00006747088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005898636,0.00017837934,0.00022845194,0.00022781151,0.00035319355,0.00024713733,0.00036954068,0.000066984896,0.000005182239],"category_scores_gemma":[0.00018443941,0.00012284149,0.00008512705,0.0005384888,0.00019739135,0.0006561408,0.00003348603,0.00035361687,6.7063047e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036303076,0.0006563942,0.72740257,0.0007171287,0.000002728499,0.00007549054,0.0017924218,0.000542279,0.23562106,0.031104915,0.000034153265,0.0016878272],"study_design_scores_gemma":[0.0011362606,0.0009911238,0.97144663,0.00011168108,0.000011305988,0.0021615655,0.0015779474,0.009527151,0.000022531329,0.012815321,0.000008651195,0.00018982269],"about_ca_topic_score_codex":0.00002355469,"about_ca_topic_score_gemma":0.00031052824,"teacher_disagreement_score":0.24404407,"about_ca_system_score_codex":0.00003374854,"about_ca_system_score_gemma":0.0000722375,"threshold_uncertainty_score":0.50093305},"labels":[],"label_agreement":null},{"id":"W2917507868","doi":"10.1101/564476","title":"Dynamic compression and expansion in a classifying recurrent network","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"Fonds de recherche du Québec – Nature et technologies; Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Curse of dimensionality; Computer science; Dimensionality reduction; Recurrent neural network; Artificial intelligence; Stochastic gradient descent; Gradient descent; Generalization; Artificial neural network; Task (project management); Chaotic; Machine learning; Mathematics","score_opus":0.024103954571110704,"score_gpt":0.24160531002405408,"score_spread":0.21750135545294338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2917507868","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934235,0.00070218905,0.00082168134,0.00022508236,0.0036380284,0.00090438355,0.00005253948,0.00022129026,0.000011261877],"genre_scores_gemma":[0.997569,0.0010744653,0.0006859308,0.00034041016,0.00014679719,0.00008474847,3.125278e-7,0.00009074589,0.0000075357802],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996774,0.0002989557,0.0005137305,0.0014201625,0.00039206748,0.0006010542],"domain_scores_gemma":[0.99831975,0.00020565675,0.00038962264,0.00083765853,0.00007536837,0.00017196195],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004315957,0.00049424695,0.000531479,0.0002667268,0.0001771605,0.00023749557,0.00037976037,0.0004512648,0.000013052871],"category_scores_gemma":[0.00023604091,0.00048808794,0.00009288193,0.0004752847,0.00009665833,0.00019592672,0.0008864757,0.0011917179,0.000032514978],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000076291435,0.000092057184,0.0044465717,0.00034209545,0.0000061284977,0.000049015285,0.0000064060355,0.0032475498,0.99125516,0.00032458676,0.00012106534,0.000033040807],"study_design_scores_gemma":[0.0016975806,0.00024511927,0.27544284,0.0046226224,0.00006549154,1.32694e-7,0.0000037859668,0.6365226,0.07579543,0.000056132583,0.0035689464,0.0019793415],"about_ca_topic_score_codex":0.000018513789,"about_ca_topic_score_gemma":0.0000057590987,"teacher_disagreement_score":0.91545975,"about_ca_system_score_codex":0.00026108426,"about_ca_system_score_gemma":0.00016739355,"threshold_uncertainty_score":0.99975705},"labels":[],"label_agreement":null},{"id":"W2919466762","doi":"10.1101/566042","title":"Disentangling presentation and processing times in the brain","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fixation (population genetics); Computer science; Information processing; Millisecond; Rapid serial visual presentation; Visual processing; Gating; Neuroscience; Psychology; Pattern recognition (psychology); Artificial intelligence; Cognition; Perception; Biology; Physics","score_opus":0.019810450818767613,"score_gpt":0.24440727004524776,"score_spread":0.22459681922648014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2919466762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960686,0.0002508732,0.0003351269,0.0016356596,0.00064274593,0.0008732909,0.00003842056,0.000115944866,0.000039315808],"genre_scores_gemma":[0.9982911,0.00008662929,0.00016092419,0.001121555,0.00019045176,0.000085051164,1.839814e-7,0.000049510967,0.000014608214],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99795383,0.00025340004,0.00030346896,0.0008115247,0.00035918286,0.00031858752],"domain_scores_gemma":[0.9988462,0.00028513154,0.00024985272,0.00049893017,0.000059710677,0.000060212013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004938693,0.00028869693,0.0002411043,0.00017957253,0.00016034298,0.00048606607,0.0003745396,0.00018425591,0.000007331061],"category_scores_gemma":[0.00048145512,0.00023477302,0.000053120497,0.00041127132,0.00009430932,0.00026055658,0.00026573433,0.00058830134,0.00001603118],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003199682,0.00009120412,0.015703999,0.0004487295,0.0000060789766,0.000050892602,0.000068649875,0.00048139328,0.98148996,0.0013897449,0.00021255706,0.000024783363],"study_design_scores_gemma":[0.0018223322,0.00017518704,0.32132593,0.0014918244,0.00012292019,2.9000662e-7,0.000065089065,0.25181773,0.41714877,0.00015693861,0.0037887723,0.0020841982],"about_ca_topic_score_codex":0.000015560821,"about_ca_topic_score_gemma":0.0000023329185,"teacher_disagreement_score":0.5643412,"about_ca_system_score_codex":0.00007281638,"about_ca_system_score_gemma":0.00012609789,"threshold_uncertainty_score":0.9573766},"labels":[],"label_agreement":null},{"id":"W2920672574","doi":"10.1016/j.neuroimage.2019.02.070","title":"Neural variability quenching during decision-making: Neural individuality and its prestimulus complexity","year":2019,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":66,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Stimulus (psychology); Neural activity; Psychology; Neuroscience; Electrophysiology; Brain activity and meditation; Event-related potential; Audiology; Electroencephalography; Cognitive psychology; Medicine","score_opus":0.043570580475270494,"score_gpt":0.2974954130229555,"score_spread":0.253924832547685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2920672574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961387,0.0000109816365,0.000121392186,0.00047442835,0.0010944146,0.00062274624,0.000065231376,0.000234369,0.0012377708],"genre_scores_gemma":[0.99848986,0.000005054673,0.00017782152,0.0010613693,0.00008087781,0.000012522403,0.0000027842282,0.00003582317,0.00013391345],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99684703,0.00053719664,0.0004239632,0.0011593081,0.0005155145,0.0005169662],"domain_scores_gemma":[0.99758184,0.0014321825,0.00018292027,0.00059210416,0.000049128008,0.00016182633],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004476089,0.00030955463,0.00032146802,0.000111266505,0.00040257585,0.0002883833,0.0004037753,0.0000861409,0.00018884613],"category_scores_gemma":[0.002499194,0.00028618693,0.00010075097,0.00033437015,0.00014896962,0.0008041873,0.0005610537,0.0006064929,0.00006073508],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035093128,0.00021265743,0.055827014,0.00020423724,0.0000053912177,0.0001928847,0.0002005744,0.0024285573,0.9280052,0.005266463,0.000045850367,0.0072602257],"study_design_scores_gemma":[0.0007123588,0.00015893919,0.6429569,0.000033452023,0.00001360052,0.00024055412,0.000005515782,0.3427344,0.0072955056,0.0053662886,0.00011006497,0.00037239812],"about_ca_topic_score_codex":0.000016221189,"about_ca_topic_score_gemma":0.0000062716354,"teacher_disagreement_score":0.9207097,"about_ca_system_score_codex":0.00004633184,"about_ca_system_score_gemma":0.000022229004,"threshold_uncertainty_score":0.99995905},"labels":[],"label_agreement":null},{"id":"W2920961427","doi":"10.1523/eneuro.0426-18.2019","title":"Phase Coherent Currents Underlying Neocortical Seizure-Like State Transitions","year":2019,"lang":"en","type":"article","venue":"eNeuro","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; Toronto Western Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Local field potential; Neuroscience; Epilepsy; Electroencephalography; Metastability; Neocortex; Physics; Chemistry; Psychology","score_opus":0.05994998128470478,"score_gpt":0.3219510385245375,"score_spread":0.2620010572398327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2920961427","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993834,0.000005648803,0.0018102315,0.0005969215,0.001791975,0.0003359668,0.00004409043,0.0001229035,0.001458266],"genre_scores_gemma":[0.99662024,0.000014927864,0.000017686923,0.0017983366,0.00003168205,0.000014032701,0.000010491013,0.000022522741,0.0014700841],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987483,0.000096468415,0.00018768641,0.0004154784,0.00026278762,0.00028929132],"domain_scores_gemma":[0.9994621,0.00012973501,0.00004608104,0.00023057975,0.000016970895,0.00011451617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000048735397,0.00013731276,0.00012442902,0.0000634529,0.00012004981,0.00007294563,0.00013650919,0.000030066743,0.000256555],"category_scores_gemma":[0.00004744338,0.00012443583,0.00007779324,0.00020793709,0.000042116826,0.0001789595,0.00003199432,0.00022467351,0.00045737598],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000076592936,0.0005507095,0.00017596377,0.00002060467,0.000003579968,0.000058544785,0.00010158114,0.0006543784,0.9803106,0.001696956,0.0005540308,0.015796447],"study_design_scores_gemma":[0.020074356,0.0060163927,0.008516203,0.00019468533,0.00013914316,0.0004926694,0.00013477221,0.49941254,0.28429362,0.013472694,0.16482146,0.002431464],"about_ca_topic_score_codex":0.0000042583483,"about_ca_topic_score_gemma":0.0000034554791,"teacher_disagreement_score":0.69601697,"about_ca_system_score_codex":0.000023576044,"about_ca_system_score_gemma":0.000024628689,"threshold_uncertainty_score":0.58787954},"labels":[],"label_agreement":null},{"id":"W2921105853","doi":"10.1016/j.neuroimage.2019.03.010","title":"Cortical distance, not cancellation, dominates inter-subject EEG gamma rhythm amplitude","year":2019,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Philips (Canada); CARE Canada; Université de Sherbrooke","funders":"","keywords":"Neurophysiology; Amplitude; Electroencephalography; Alpha (finance); Neuroscience; Rhythm; Alpha rhythm; Beta Rhythm; Visual cortex; Stimulation; Psychology; Physics; Audiology; Optics; Medicine; Acoustics; Developmental psychology","score_opus":0.018785088861814486,"score_gpt":0.2556380513055408,"score_spread":0.2368529624437263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921105853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9825395,0.000008740199,0.0024539363,0.00073334173,0.0016079964,0.0004040269,0.000040702573,0.00016170568,0.012050091],"genre_scores_gemma":[0.98990476,0.00003002861,0.00006108622,0.0022485584,0.00009069309,0.000014843036,0.000006883176,0.000035101883,0.007608023],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981869,0.00013899241,0.00026504518,0.0007021775,0.0003171474,0.00038973524],"domain_scores_gemma":[0.9988265,0.00045508615,0.00011325438,0.00045356664,0.000047144178,0.000104437655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012148867,0.00020943784,0.00021916628,0.00007229225,0.00013974484,0.00014640206,0.00022345038,0.000055851313,0.0003070687],"category_scores_gemma":[0.0003770655,0.00018743695,0.00009989253,0.000263054,0.00012134511,0.00027270662,0.000107591666,0.0003406931,0.00063819136],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015986674,0.000053687327,0.0022285068,0.00003123815,0.0000019884205,0.0000832897,0.000039029484,0.000056789864,0.9879951,0.004730547,0.001199737,0.0034202144],"study_design_scores_gemma":[0.0031116374,0.0011032094,0.2003364,0.0001340314,0.000048234113,0.00046107528,0.00003813177,0.074422665,0.48160487,0.0022630717,0.23502675,0.0014499186],"about_ca_topic_score_codex":0.000016881188,"about_ca_topic_score_gemma":0.000018783547,"teacher_disagreement_score":0.5063902,"about_ca_system_score_codex":0.00005383838,"about_ca_system_score_gemma":0.000027791419,"threshold_uncertainty_score":0.82028717},"labels":[],"label_agreement":null},{"id":"W2921614519","doi":"10.1101/578443","title":"The Hidden Repertoire of Brain Dynamics and Dysfunction","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; European Commission","keywords":"Repertoire; Neuroscience; Dynamics (music); Cognitive science; Computer science; Process (computing); Psychology; Cognitive psychology; Physics","score_opus":0.01290843305089452,"score_gpt":0.21010952478424166,"score_spread":0.19720109173334716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921614519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926909,0.00028603032,0.0008814298,0.001946948,0.0030430756,0.00074859714,0.00017735912,0.00018123056,0.00004441205],"genre_scores_gemma":[0.99848837,0.0005064618,0.00014443223,0.00043260166,0.00017350851,0.00004966911,2.414865e-7,0.00008094128,0.00012378492],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99753237,0.00021822147,0.00048459249,0.00095908396,0.0004228463,0.00038289675],"domain_scores_gemma":[0.9973981,0.0005282107,0.00055202196,0.0012095197,0.00019696156,0.00011520314],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005753104,0.0003821129,0.00038668586,0.00014331125,0.00031955336,0.0002420189,0.00048345356,0.00036045403,0.000008237287],"category_scores_gemma":[0.0011243093,0.00030709791,0.00012622289,0.00034937577,0.00027101577,0.00015185942,0.0005911487,0.00068046205,0.000019605668],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006572613,0.000046949754,0.0021007997,0.0002425591,0.0000260632,0.000011607151,0.000004606467,0.00007047858,0.9850842,0.011859901,0.00042201683,0.0000651055],"study_design_scores_gemma":[0.0014604675,0.00046994988,0.115740076,0.00077930227,0.00019245323,3.0807138e-7,0.000015990257,0.16842413,0.7001242,0.00014879504,0.010729829,0.0019145149],"about_ca_topic_score_codex":0.000038188053,"about_ca_topic_score_gemma":0.0000084401645,"teacher_disagreement_score":0.28496,"about_ca_system_score_codex":0.00018931516,"about_ca_system_score_gemma":0.00021186376,"threshold_uncertainty_score":0.99993813},"labels":[],"label_agreement":null},{"id":"W2921892837","doi":"10.1101/577379","title":"Identifying the most influential features of neural population responses for information encoding and behavior","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Eye Institute; Howard Hughes Medical Institute; National Science Foundation","keywords":"Population; Affect (linguistics); Encoding (memory); Projection (relational algebra); Decodes; Modulation (music); Contrast (vision); Computer science; Mutual information; Neural activity; Neuroscience; Psychology; Decoding methods; Artificial intelligence; Communication; Physics; Algorithm","score_opus":0.02550840055502033,"score_gpt":0.25879826705979037,"score_spread":0.23328986650477004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921892837","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99542665,0.00008041347,0.00066054607,0.000109945395,0.0019518966,0.001343993,0.00033262646,0.00009125293,0.0000026906328],"genre_scores_gemma":[0.99905,0.000057559628,0.0003041827,0.00024947565,0.00013727773,0.00016196082,0.0000012358015,0.00003341657,0.000004897193],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983697,0.00013661566,0.00047385885,0.00042650814,0.00033808712,0.0002552427],"domain_scores_gemma":[0.99832726,0.00028273984,0.0006213934,0.0005014179,0.00020947102,0.000057719357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043415252,0.00026842958,0.0002696808,0.00026368658,0.00027581165,0.00041094964,0.0003096694,0.0002290321,0.0000026486373],"category_scores_gemma":[0.0009266244,0.00022722445,0.00009963526,0.00027541167,0.000084958054,0.0006347343,0.00032511074,0.00038542593,0.0000024727613],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000122022175,0.00002481992,0.0070244265,0.00037155428,0.000009318332,0.0000014916077,0.000022692688,0.00029439502,0.9904991,0.0015572895,0.00003664654,0.000036272817],"study_design_scores_gemma":[0.00043087878,0.00006790008,0.6681546,0.00015377539,0.00012802884,9.0295075e-8,0.0000058515443,0.0049265916,0.32554966,0.000007848583,0.00024061534,0.00033416806],"about_ca_topic_score_codex":0.000072298,"about_ca_topic_score_gemma":0.0000023886087,"teacher_disagreement_score":0.6649494,"about_ca_system_score_codex":0.00006849696,"about_ca_system_score_gemma":0.00008378943,"threshold_uncertainty_score":0.9265944},"labels":[],"label_agreement":null},{"id":"W2921997343","doi":"10.1016/j.cortex.2019.03.002","title":"The architecture of mammalian cortical connectomes in light of the theory of the dual origin of the cerebral cortex","year":2019,"lang":"en","type":"article","venue":"Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":57,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Deutsche Forschungsgemeinschaft; Alexander von Humboldt-Stiftung; Darrell Gwynn Foundation","keywords":"Neuroscience; Cerebral cortex; Cortex (anatomy); Psychology; Cytoarchitecture; Dual (grammatical number); Neocortex; Functional organization; Biology","score_opus":0.012180363720053506,"score_gpt":0.22900245848708642,"score_spread":0.2168220947670329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921997343","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950092,0.00002907408,0.000007786695,0.0011514754,0.0011174402,0.0005515936,0.0000448232,0.0000062309973,0.0020823928],"genre_scores_gemma":[0.99781877,0.000008255599,0.0000023754578,0.0002693389,0.00002487427,0.0000048115066,3.9865552e-7,0.000013935023,0.0018572393],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99804723,0.00054379523,0.00046401922,0.00025085386,0.0004679492,0.00022616444],"domain_scores_gemma":[0.99770737,0.0009667154,0.0003740848,0.00086546486,0.00006014936,0.00002621854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039887024,0.00014373394,0.0002620458,0.000037481557,0.000107458494,0.000011064623,0.0008480653,0.00007538747,0.000068176094],"category_scores_gemma":[0.00062721595,0.00005649976,0.00023140803,0.000533388,0.0007462419,0.00003714532,0.00029379898,0.00037793355,0.0000028976858],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018660807,0.000089307774,0.05520803,0.000050706272,0.000010990174,8.124677e-7,0.0003965075,0.000109868866,0.83274525,0.11015108,0.000078129844,0.0009726827],"study_design_scores_gemma":[0.0005458682,0.00015444848,0.7353561,0.00009587535,0.00002862123,0.000018647743,0.00023158485,0.0009470956,0.2537836,0.007901915,0.0008401476,0.00009609997],"about_ca_topic_score_codex":0.0000363349,"about_ca_topic_score_gemma":0.00015585971,"teacher_disagreement_score":0.68014807,"about_ca_system_score_codex":0.000018226692,"about_ca_system_score_gemma":0.00010961328,"threshold_uncertainty_score":0.27495593},"labels":[],"label_agreement":null},{"id":"W2922020297","doi":"10.1101/572438","title":"Global motion processing by populations of direction-selective retinal ganglion cells","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Eye Institute; National Institutes of Health; Canada Research Chairs; Canadian Institute for Advanced Research","keywords":"Decoding methods; Stimulus (psychology); Computer science; Population; Neuroscience; Retina; Sensory system; Biology; Algorithm; Psychology; Cognitive psychology","score_opus":0.017534057235996808,"score_gpt":0.2356059378595514,"score_spread":0.2180718806235546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922020297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98238546,0.00015153142,0.012405987,0.00013752215,0.0031047473,0.00084683264,0.0005804927,0.00032245606,0.00006494553],"genre_scores_gemma":[0.9989554,0.000051207404,0.0005409428,0.00011400461,0.00020664521,0.000052337284,8.169086e-7,0.000061347186,0.000017244376],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9973326,0.00020220743,0.00051748427,0.001069261,0.0004972489,0.00038123791],"domain_scores_gemma":[0.9980946,0.00005027709,0.0007561093,0.0005656024,0.00041420705,0.00011918368],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002717435,0.00040067875,0.00041075968,0.00018743503,0.00022269973,0.000163747,0.0003235909,0.00038221653,0.00001781531],"category_scores_gemma":[0.0003025876,0.000430971,0.00014692916,0.0010094837,0.000103045124,0.00027402965,0.00020489638,0.0004661146,0.000024547946],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004087521,0.000152735,0.0049088495,0.00022983784,0.000009374765,0.0000042266724,0.000004172672,0.0014088852,0.9922314,0.00039718734,0.0006000183,0.000012402429],"study_design_scores_gemma":[0.00029097658,0.00009198431,0.039120372,0.00027065686,0.00006998133,4.853035e-8,0.0000014563834,0.01646589,0.9428134,0.000026413003,0.00033296933,0.00051586214],"about_ca_topic_score_codex":0.00007368804,"about_ca_topic_score_gemma":0.0000029860093,"teacher_disagreement_score":0.049418043,"about_ca_system_score_codex":0.00044421415,"about_ca_system_score_gemma":0.00024217989,"threshold_uncertainty_score":0.9998142},"labels":[],"label_agreement":null},{"id":"W2922454640","doi":"10.1093/scan/nsz015","title":"Intensity of affective experience is modulated by magnitude of intracranial electrical stimulation in human orbitofrontal, cingulate and insular cortices","year":2019,"lang":"en","type":"article","venue":"Social Cognitive and Affective Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Orbitofrontal cortex; Psychology; Stimulation; Insula; Neuroscience; Valence (chemistry); Cingulate cortex; Insular cortex; Anterior cingulate cortex; Human brain; Electrical brain stimulation; Audiology; Cognition; Prefrontal cortex; Central nervous system; Medicine; Chemistry","score_opus":0.016426542546741044,"score_gpt":0.28377590666877506,"score_spread":0.26734936412203403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922454640","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99876267,0.000019886951,0.00017014692,0.000021916432,0.00014903626,0.00065964565,0.00004692951,0.000018061732,0.0001516901],"genre_scores_gemma":[0.9996126,0.00002971321,0.000004551978,0.00029627673,0.00001614455,0.000010376781,0.0000023924322,0.000011377286,0.000016554905],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9982412,0.00023082134,0.00025747382,0.0006782677,0.00032636066,0.00026591148],"domain_scores_gemma":[0.99910605,0.0003539479,0.00024716914,0.000067478664,0.00016673373,0.000058629415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000166694,0.00018841871,0.00035589794,0.00015815081,0.00021305321,0.000038758466,0.00010410523,0.00008902519,0.0000069244456],"category_scores_gemma":[0.0006907356,0.00018191506,0.000043628217,0.0007752927,0.00074605126,0.0004402616,0.00012145871,0.00023639206,6.009343e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021725535,0.00014790644,0.07253665,0.000022357961,0.0000019611398,0.0000069341363,0.0014596622,0.000005501434,0.9229217,0.00018386812,0.0000014770193,0.002494743],"study_design_scores_gemma":[0.0008580568,0.00097063585,0.6225142,0.00003757079,0.000012744572,0.0000065047225,0.00022290369,0.011007898,0.3634389,0.0007754219,9.548847e-7,0.00015421782],"about_ca_topic_score_codex":0.00020348364,"about_ca_topic_score_gemma":0.000016437272,"teacher_disagreement_score":0.55948275,"about_ca_system_score_codex":0.000033607826,"about_ca_system_score_gemma":0.000024820229,"threshold_uncertainty_score":0.7418281},"labels":[],"label_agreement":null},{"id":"W2923000311","doi":"10.4018/ijaci.2019040104","title":"Auditory Noise Can Facilitate Body's Peripheral Temperature Switchovers","year":2019,"lang":"en","type":"article","venue":"International Journal of Ambient Computing and Intelligence","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Noise (video); Context (archaeology); Switchover; Perception; Auditory system; Cognition; State (computer science); Sensory system; Human–computer interaction; Speech recognition; Cognitive psychology; Artificial intelligence; Neuroscience; Psychology","score_opus":0.016089092116564504,"score_gpt":0.25880018141964556,"score_spread":0.24271108930308105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2923000311","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897994,0.00003989571,0.0015690584,0.0008902259,0.0070974347,0.000067569905,0.000009402359,0.00001541225,0.0005116148],"genre_scores_gemma":[0.9976268,0.00012132263,0.00013699378,0.00091390795,0.00040332062,2.3391826e-7,0.000001203731,0.000008127521,0.0007881044],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99866784,0.00006203713,0.0003711341,0.00022938475,0.0005092439,0.00016037769],"domain_scores_gemma":[0.9991081,0.00017809022,0.00027664576,0.00008755495,0.0002592407,0.000090420355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022734937,0.00012592415,0.00014969218,0.00013464353,0.00007398769,0.00016802295,0.00035876455,0.000043200547,0.00006158078],"category_scores_gemma":[0.00021360762,0.00010332721,0.000097141754,0.000096981006,0.00006783492,0.0002291592,0.000092938986,0.0003312318,0.000017735601],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020178143,0.00009626021,0.004357295,0.000016154196,0.00003671965,0.00010005349,0.00094562926,0.013902258,0.9613626,0.0021641094,0.0009519991,0.015865153],"study_design_scores_gemma":[0.0021311403,0.0031109203,0.03632955,0.0012632601,0.000050476923,0.003685109,0.0021106761,0.2723929,0.618666,0.0048766485,0.053968463,0.0014148529],"about_ca_topic_score_codex":0.000023666924,"about_ca_topic_score_gemma":0.0000018903019,"teacher_disagreement_score":0.34269658,"about_ca_system_score_codex":0.000095254865,"about_ca_system_score_gemma":0.000047835198,"threshold_uncertainty_score":0.42135614},"labels":[],"label_agreement":null},{"id":"W2923126172","doi":"10.1101/590323","title":"A sound-sensitive source of alpha oscillations in human non-primary auditory cortex","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Auditory cortex; Neuroscience; Stimulus (psychology); Temporal lobe; Electroencephalography; Psychology; Local field potential; Stimulation; Sensory system; Visual cortex; Scalp; Brain activity and meditation; Audiology; Biology; Epilepsy; Anatomy; Medicine; Cognitive psychology","score_opus":0.016237432527095363,"score_gpt":0.22894547395687143,"score_spread":0.21270804142977606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2923126172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936646,0.000034503442,0.002109305,0.00008282007,0.002632047,0.0009698325,0.00019253821,0.00017196186,0.0001423401],"genre_scores_gemma":[0.99866724,0.00005108603,0.00021162893,0.0004296017,0.0004036813,0.000060124854,8.150346e-7,0.00011728798,0.000058528785],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99659586,0.00023917401,0.0007424873,0.001314446,0.0005776167,0.00053038995],"domain_scores_gemma":[0.9973172,0.00028651088,0.0007568523,0.0012039195,0.00028108872,0.00015446053],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00046022082,0.00052140583,0.00073600945,0.0005668449,0.00018677214,0.00011939315,0.0005231508,0.00048202035,0.000026642638],"category_scores_gemma":[0.00032933638,0.00058544875,0.00021904246,0.00069087005,0.00025931207,0.00020629856,0.00063462363,0.0009990581,0.00007994114],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029093142,0.00014994717,0.0045234263,0.00026336074,0.000019503772,0.00003578125,0.000017559722,0.0015459202,0.9927409,0.0004904963,0.0001828246,0.0000011447147],"study_design_scores_gemma":[0.0010754943,0.00016983344,0.618217,0.00062197424,0.00008123275,7.2803424e-8,0.0000066688117,0.0099943755,0.36754417,0.000029826813,0.0010611329,0.0011982368],"about_ca_topic_score_codex":0.00011471128,"about_ca_topic_score_gemma":0.00000832922,"teacher_disagreement_score":0.62519675,"about_ca_system_score_codex":0.00043353115,"about_ca_system_score_gemma":0.00044394596,"threshold_uncertainty_score":0.9996597},"labels":[],"label_agreement":null},{"id":"W2924011388","doi":"10.3389/fnsyn.2019.00008","title":"Optical Quantal Analysis","year":2019,"lang":"en","type":"article","venue":"Frontiers in Synaptic Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Neuroscience; Postsynaptic potential; Synaptic plasticity; Neurotransmission; Electrophysiology; Synapse; Nonsynaptic plasticity; Metaplasticity; Neurotransmitter; Biology; Central nervous system","score_opus":0.016030454399185896,"score_gpt":0.2426016773771367,"score_spread":0.2265712229779508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2924011388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97810817,0.000012355482,0.014301244,0.00031025612,0.0038260343,0.0002661089,0.0000065454865,0.00007799971,0.0030912831],"genre_scores_gemma":[0.9966936,0.000023615185,0.0008054891,0.001470115,0.00002036782,0.000010031309,0.0000010306745,0.000013394,0.0009623348],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976134,0.00010892627,0.00029568875,0.00094947946,0.00050807436,0.00052446395],"domain_scores_gemma":[0.9991919,0.00013618701,0.00008383131,0.00044650104,0.000014324916,0.00012725579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026152778,0.00017768811,0.0003163941,0.00056456466,0.000098850855,0.000108345994,0.00058022613,0.00006479842,0.000047395264],"category_scores_gemma":[0.00048368113,0.00016081525,0.00014122883,0.002933587,0.0002827066,0.00038152028,0.00013440258,0.0002738899,0.00009528481],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000076226104,0.0002137618,0.23300526,0.0000140775555,0.000009518584,0.00015201523,0.00005840987,0.0074586533,0.7479081,0.00842577,0.00035641255,0.002321774],"study_design_scores_gemma":[0.0005580512,0.0003378933,0.1459577,0.00001209664,0.00006330296,0.000057262547,0.000073923446,0.8301016,0.019805668,0.0012827767,0.0012576771,0.00049206894],"about_ca_topic_score_codex":0.000008232833,"about_ca_topic_score_gemma":0.000004077779,"teacher_disagreement_score":0.8226429,"about_ca_system_score_codex":0.00007573451,"about_ca_system_score_gemma":0.000037017326,"threshold_uncertainty_score":0.65578556},"labels":[],"label_agreement":null},{"id":"W2925195493","doi":"10.1002/brb3.1263","title":"The roles of alpha oscillation in working memory retention","year":2019,"lang":"en","type":"article","venue":"Brain and Behavior","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":167,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Magnetoencephalography; Alpha (finance); Working memory; Encoding (memory); Neuroscience; Psychology; Local field potential; Electroencephalography; Audiology; Cognition; Medicine; Developmental psychology","score_opus":0.029681146646482796,"score_gpt":0.2572355857633357,"score_spread":0.2275544391168529,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2925195493","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99841386,0.000027888516,0.0000058971427,0.00037696495,0.00028343615,0.00021371979,0.0000013554159,0.00001147201,0.00066539005],"genre_scores_gemma":[0.99858993,0.000028537288,0.000009443266,0.00011711863,0.000016581953,0.00000820593,0.0000013000298,0.0000049202476,0.0012239426],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99944896,0.000056940604,0.00012975301,0.00015377135,0.00011623454,0.00009435992],"domain_scores_gemma":[0.9996513,0.00016418743,0.00006276116,0.00009854423,0.000008519951,0.0000146785205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020394905,0.000049347906,0.000060977494,0.00004417942,0.00006380668,0.000029590505,0.000056044442,0.000032037588,0.000011614748],"category_scores_gemma":[0.00007175501,0.00003464161,0.000024057257,0.00012414735,0.000040477724,0.00007246657,0.000027281663,0.000064327505,0.0000049317177],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020087335,0.000025489138,0.02992673,0.0000058505166,2.6797719e-7,0.0000016218908,0.0000784061,0.000008375143,0.8907503,0.001212011,0.000022619914,0.07794828],"study_design_scores_gemma":[0.0009232258,0.00019629444,0.9164995,0.00008562836,0.000015900145,0.000019957515,0.000377988,0.0056457515,0.073195145,0.0008332323,0.0020108884,0.00019652072],"about_ca_topic_score_codex":0.0000068018676,"about_ca_topic_score_gemma":0.000071098846,"teacher_disagreement_score":0.8865727,"about_ca_system_score_codex":0.000010035518,"about_ca_system_score_gemma":0.000005765915,"threshold_uncertainty_score":0.14126438},"labels":[],"label_agreement":null},{"id":"W2929969954","doi":"10.1162/jocn_a_01408","title":"Functionally Separable Font-invariant and Font-sensitive Neural Populations in Occipitotemporal Cortex","year":2019,"lang":"en","type":"article","venue":"Journal of Cognitive Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Institute of General Medical Sciences; Canadian Institutes of Health Research","keywords":"Psychology; Font; Neuroscience; Cognitive psychology; Artificial intelligence; Computer science","score_opus":0.044749542299880374,"score_gpt":0.2920301882891103,"score_spread":0.24728064598922994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2929969954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946552,0.000021626696,0.00088303554,0.00064250955,0.002188712,0.0003150127,0.000025348783,0.00001554352,0.001253007],"genre_scores_gemma":[0.99693745,0.000036539706,0.0000528007,0.0024181176,0.000094255534,0.0000027713702,0.000001384434,0.000015452879,0.00044124064],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9977458,0.00025514897,0.00053354364,0.00047748882,0.0006253036,0.00036271408],"domain_scores_gemma":[0.9983893,0.00060691714,0.00048535582,0.000109617366,0.00023799378,0.00017081719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045500035,0.00019668488,0.00030761224,0.00037316448,0.00020892567,0.00014883619,0.00018431559,0.000058681268,0.000024434214],"category_scores_gemma":[0.0016938787,0.00016807481,0.00010063383,0.00069598615,0.00021292972,0.0011662479,0.00008969598,0.00047545286,0.00001480706],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005749495,0.0002384652,0.049635705,0.000013134607,0.000002674005,0.00046365007,0.00018447766,0.0010745798,0.9428031,0.0028068214,0.000072838324,0.002129637],"study_design_scores_gemma":[0.0018292078,0.001411145,0.92645705,0.00014802074,0.000024189096,0.0015851673,0.0001823923,0.05861206,0.007896625,0.0013264487,0.0002248968,0.00030280667],"about_ca_topic_score_codex":0.00002041616,"about_ca_topic_score_gemma":0.000035291043,"teacher_disagreement_score":0.9349064,"about_ca_system_score_codex":0.0000528197,"about_ca_system_score_gemma":0.00011872306,"threshold_uncertainty_score":0.6853892},"labels":[],"label_agreement":null},{"id":"W2934630950","doi":"10.1038/s41380-019-0406-4","title":"Opposite effects of dopamine and serotonin on resting-state networks: review and implications for psychiatric disorders","year":2019,"lang":"en","type":"review","venue":"Molecular Psychiatry","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":267,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Ottawa","funders":"","keywords":"Neuroscience; Ventral tegmental area; Dopamine; Dopaminergic; Substantia nigra; Raphe nuclei; Serotonergic; Psychology; Schizophrenia (object-oriented programming); Serotonin; Medicine; Psychiatry; Internal medicine; Receptor","score_opus":0.01781015922566373,"score_gpt":0.3040467316450889,"score_spread":0.28623657241942513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2934630950","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00016010088,0.99002814,0.002895874,0.00084584847,0.0008296271,0.00503503,0.000068020774,0.000040773208,0.00009656924],"genre_scores_gemma":[0.00006655738,0.99737227,0.0004731553,0.0012789374,0.00004702888,0.00047222662,0.000048688984,0.00009060309,0.00015054231],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979473,0.00022178458,0.0005542502,0.0008580751,0.00012221844,0.00029637504],"domain_scores_gemma":[0.9982224,0.00047017686,0.0005760953,0.0005957171,0.00003365042,0.000101928636],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016356121,0.00043750426,0.0010829134,0.00018886353,0.00012788601,0.000041769545,0.00024416854,0.00013027467,8.2563696e-7],"category_scores_gemma":[0.00021495961,0.00036354954,0.0002852388,0.0006706076,0.000073080315,0.000048194423,0.000089470224,0.00029785288,0.0000029081828],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019034842,0.00017632313,0.00006770859,0.18330516,0.00006233812,0.0000010681101,0.0000021028766,0.000040630683,0.00012651288,0.0042911563,0.001128685,0.8107793],"study_design_scores_gemma":[0.002011039,0.0033203983,0.00035996592,0.071292005,0.0064264536,0.00023727676,0.0000010848562,0.000995735,0.000028722101,0.0045648636,0.9086881,0.002074311],"about_ca_topic_score_codex":0.000003124571,"about_ca_topic_score_gemma":0.0000035711532,"teacher_disagreement_score":0.90755945,"about_ca_system_score_codex":0.000017400134,"about_ca_system_score_gemma":0.000081234204,"threshold_uncertainty_score":0.9998816},"labels":[],"label_agreement":null},{"id":"W2936201809","doi":"10.1101/605592","title":"Dynamic changes in Anterior Cingulate Cortex ensembles mark the transition from exploration to exploitation","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"","keywords":"Anterior cingulate cortex; Psychology; Lever; Value (mathematics); Neuroscience; Process (computing); Representation (politics); Error-related negativity; Cingulate cortex; Cognitive psychology; Computer science; Cognition; Machine learning; Political science; Engineering","score_opus":0.021219369474525757,"score_gpt":0.22954190962188809,"score_spread":0.20832254014736232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2936201809","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98503804,0.000091450485,0.00698454,0.003177002,0.0025974275,0.0015684409,0.00031833214,0.00022088624,0.0000038600683],"genre_scores_gemma":[0.99676925,0.00040762333,0.00042477917,0.0017328098,0.00019107963,0.00036060862,0.0000020539685,0.00010239394,0.000009375474],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99704874,0.00034494617,0.0005070111,0.0012216055,0.00044673678,0.0004309389],"domain_scores_gemma":[0.9982729,0.0002120916,0.00036705667,0.00089282036,0.00014274863,0.000112365844],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004392344,0.0004642984,0.00044474113,0.00040638848,0.00017385054,0.00034649257,0.0004552998,0.00030573292,0.000027210941],"category_scores_gemma":[0.0002695649,0.0004216475,0.00010726423,0.0006259543,0.00005863634,0.0003673419,0.00019903408,0.0005510433,0.00011196806],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010491467,0.000054027445,0.000120863566,0.00008642009,0.000009780825,0.00002302419,0.00013783602,0.0016380993,0.9976968,0.00006996037,0.000033446224,0.000024790459],"study_design_scores_gemma":[0.0009610315,0.0002594727,0.18423022,0.0015284345,0.000094527255,5.2582507e-8,0.000065636326,0.11951715,0.6911723,0.00008803162,0.00071365765,0.0013695041],"about_ca_topic_score_codex":0.00012254316,"about_ca_topic_score_gemma":0.00016103822,"teacher_disagreement_score":0.30652454,"about_ca_system_score_codex":0.00029988386,"about_ca_system_score_gemma":0.000119875345,"threshold_uncertainty_score":0.9998235},"labels":[],"label_agreement":null},{"id":"W2936772519","doi":"10.3389/fnsyn.2019.00011","title":"Editorial: Dynamics and Modulation of Synaptic Transmission in the Mammalian CNS","year":2019,"lang":"en","type":"editorial","venue":"Frontiers in Synaptic Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McGill University","keywords":"Neuroscience; Neurotransmission; Dynamics (music); Transmission (telecommunications); Modulation (music); Computer science; Biology; Psychology; Physics; Telecommunications","score_opus":0.010525424289443292,"score_gpt":0.23910810314446568,"score_spread":0.2285826788550224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2936772519","genre_codex":"editorial","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025535513,0.00006452595,0.0044938303,0.00029446406,0.9684826,0.0008661805,0.00009402051,0.000029335983,0.00013948887],"genre_scores_gemma":[0.62068135,0.0009864061,0.00039310218,0.00026294874,0.37692094,0.000070224385,0.000047893718,0.000096693475,0.00054043194],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9952843,0.0005551138,0.0007368036,0.0012444765,0.0016066625,0.00057263713],"domain_scores_gemma":[0.9975879,0.0012096661,0.00042521118,0.00062808424,0.00006559391,0.00008349923],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011556204,0.0004169283,0.0006131375,0.0005760209,0.00013787196,0.00014830168,0.0011751526,0.0006088725,0.0000022465317],"category_scores_gemma":[0.002758187,0.0003286933,0.00010336062,0.0011966529,0.00057913904,0.0004243769,0.00013504855,0.0013204165,0.00000218162],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038962634,0.00036991472,0.0015307745,0.00064998266,0.0000065010595,0.000097406046,0.000693753,0.004349198,0.06554528,0.0010103551,0.9180438,0.007313394],"study_design_scores_gemma":[0.0015974925,0.0010106645,0.002105635,0.00047333163,0.00006563453,0.000025091276,0.00021301684,0.8158191,0.0003478636,0.0031522724,0.17423005,0.0009598594],"about_ca_topic_score_codex":0.00007685363,"about_ca_topic_score_gemma":0.00003016621,"teacher_disagreement_score":0.81146985,"about_ca_system_score_codex":0.00022756394,"about_ca_system_score_gemma":0.00022792915,"threshold_uncertainty_score":0.9999165},"labels":[],"label_agreement":null},{"id":"W2936850520","doi":"10.1101/613794","title":"Modeling implicates inhibitory network bistability as an underpinning of seizure initiation","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inhibitory postsynaptic potential; Neuroscience; GABAergic; Bistability; Excitatory postsynaptic potential; Nerve net; Network dynamics; Mechanism (biology); Epilepsy; Interneuron; Biology; Physics","score_opus":0.031055993318783483,"score_gpt":0.2481868564412355,"score_spread":0.21713086312245203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2936850520","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894178,0.00013922965,0.007165769,0.00012378795,0.0018186413,0.00083413965,0.000117733405,0.00035607567,0.000026860784],"genre_scores_gemma":[0.99804467,0.00010208432,0.00068513385,0.00044003804,0.000537928,0.000069302194,0.0000010335297,0.00011752702,0.0000022938152],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996396,0.00034284947,0.0007582675,0.0014453122,0.0005018066,0.00055574655],"domain_scores_gemma":[0.9972182,0.00017604425,0.00058199797,0.001425274,0.00040218816,0.00019632331],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00076940714,0.00050372526,0.00057441613,0.00020946848,0.00023005153,0.00020113762,0.0005720432,0.0005555291,0.000020842324],"category_scores_gemma":[0.0005365405,0.0005443254,0.0001752054,0.00059090636,0.00012591781,0.00042590822,0.00053559284,0.00092388317,0.00003149356],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000555677,0.000115806266,0.0026234153,0.00037520545,0.000016105932,0.0000071798227,0.000011075437,0.09313527,0.9008486,0.0027874315,0.000021916965,0.0000023721043],"study_design_scores_gemma":[0.00049556704,0.00021669331,0.01120947,0.00059324456,0.00009098787,6.471044e-8,0.000006737269,0.5146439,0.4711073,0.00033677314,0.0001852632,0.0011140069],"about_ca_topic_score_codex":0.0000937387,"about_ca_topic_score_gemma":0.0000034819006,"teacher_disagreement_score":0.42974135,"about_ca_system_score_codex":0.0002517969,"about_ca_system_score_gemma":0.0005291683,"threshold_uncertainty_score":0.99970084},"labels":[],"label_agreement":null},{"id":"W2937183474","doi":"10.1101/614248","title":"Decoding Complex Sounds Using Broadband Population Recordings from Secondary Auditory Cortex of Macaques","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Advanced Research Projects Agency; Brown University","keywords":"Auditory cortex; Decoding methods; Computer science; Neural decoding; Population; Brain–computer interface; Neural coding; Spike sorting; Neocortex; Neuroscience; Speech recognition; Spike (software development); Electroencephalography; Artificial intelligence; Psychology; Telecommunications","score_opus":0.03486092383317634,"score_gpt":0.24818220265755406,"score_spread":0.2133212788243777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2937183474","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99050033,0.00010450677,0.001939876,0.000038857088,0.0057412847,0.0006168706,0.0007651268,0.0002574033,0.000035764875],"genre_scores_gemma":[0.99606556,0.000108856104,0.0025666303,0.0002888402,0.00079945166,0.00001875176,0.000003479249,0.00013836146,0.000010075633],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99661905,0.00023335128,0.00082849077,0.0013692138,0.00046678822,0.00048313488],"domain_scores_gemma":[0.9971069,0.00028437166,0.0011981295,0.0010074142,0.00023924612,0.00016392843],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033506326,0.000561697,0.00078258576,0.00037638244,0.00024921115,0.00026524768,0.000561316,0.000513144,0.00018113456],"category_scores_gemma":[0.0003481514,0.00063256355,0.00023735517,0.00040149843,0.00013796779,0.0003986947,0.0005363089,0.00086707773,0.000029339113],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005218947,0.00005515658,0.012090897,0.00025282791,0.000036051497,0.000012967459,0.000007947428,0.00035762298,0.9866962,0.00021726228,0.00020644256,0.000014459451],"study_design_scores_gemma":[0.0008289975,0.00010041836,0.49123892,0.0008218942,0.00018074925,8.263158e-8,0.000004645361,0.08045185,0.42360902,0.00009149324,0.001342449,0.0013294903],"about_ca_topic_score_codex":0.0007835463,"about_ca_topic_score_gemma":0.000009353404,"teacher_disagreement_score":0.56308717,"about_ca_system_score_codex":0.00041109917,"about_ca_system_score_gemma":0.00029208872,"threshold_uncertainty_score":0.99961257},"labels":[],"label_agreement":null},{"id":"W2937549328","doi":"10.1162/jocn_a_01410","title":"The Role of Low-frequency Neural Oscillations in Speech Processing: Revisiting Delta Entrainment","year":2019,"lang":"en","type":"article","venue":"Journal of Cognitive Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hôpital Rivière-des-Prairies; McGill University; Centre for Research on Brain Language and Music; Université de Montréal","funders":"","keywords":"Entrainment (biomusicology); Psychology; Chunking (psychology); Coherence (philosophical gambling strategy); Speech recognition; Rhythm; Cognitive psychology; Acoustics; Computer science; Physics","score_opus":0.01710821707463293,"score_gpt":0.2679343155463118,"score_spread":0.25082609847167886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2937549328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964883,0.00011180312,0.00013077936,0.0005225771,0.00055050256,0.00026315867,0.000008633267,0.000006837616,0.0019174269],"genre_scores_gemma":[0.99912304,0.00010779589,0.000031233292,0.0006056897,0.000069345755,0.0000020406194,2.2024811e-7,0.000009925858,0.000050693347],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978468,0.00020484393,0.0006185684,0.00027795613,0.00073958084,0.000312247],"domain_scores_gemma":[0.9979471,0.000823888,0.00076172774,0.00012142527,0.00026507687,0.00008080616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067990227,0.00012999302,0.00020045073,0.00017157088,0.0002082754,0.00012799674,0.00042481208,0.000030328216,0.00001018834],"category_scores_gemma":[0.0032373427,0.00008897604,0.00009609237,0.000830929,0.00025872712,0.00061940146,0.000076306256,0.00035840977,0.0000038539943],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005209523,0.00005992915,0.012935193,0.000013873457,5.2129957e-7,0.000029078301,0.00013756716,0.00018988304,0.947904,0.0006681141,0.00000158877,0.03800816],"study_design_scores_gemma":[0.0022606326,0.0019407284,0.18623486,0.0014457179,0.00003937347,0.0012909619,0.0016059249,0.14096084,0.6544693,0.008352261,0.0008143712,0.0005850449],"about_ca_topic_score_codex":0.0000030603653,"about_ca_topic_score_gemma":0.0000025365273,"teacher_disagreement_score":0.2934347,"about_ca_system_score_codex":0.000044326403,"about_ca_system_score_gemma":0.00014455263,"threshold_uncertainty_score":0.38756356},"labels":[],"label_agreement":null},{"id":"W2938049908","doi":"10.1101/608299","title":"Resting-state directed brain connectivity patterns in adolescents from source-reconstructed EEG signals based on information flow rate","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Victoria","funders":"","keywords":"Electroencephalography; Information flow; Measure (data warehouse); Resting state fMRI; Computer science; Flow (mathematics); Nonlinear system; State (computer science); Psychology; Artificial intelligence; Pattern recognition (psychology); Neuroscience; Mathematics; Data mining; Algorithm; Physics","score_opus":0.013836655621252544,"score_gpt":0.2090116307679717,"score_spread":0.19517497514671914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2938049908","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9871396,0.0000072807434,0.0065595647,0.00029127646,0.0022445915,0.0014323768,0.0016280045,0.00068998017,0.000007353643],"genre_scores_gemma":[0.997154,0.0000138020805,0.00021885835,0.002287964,0.0001057374,0.00010968805,0.0000054007096,0.00010078191,0.000003776955],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9955581,0.0010073597,0.00087174244,0.0013068258,0.00057216454,0.00068385096],"domain_scores_gemma":[0.99669015,0.00076033355,0.00089651835,0.0011626261,0.00026352648,0.00022684397],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00079379854,0.00071651954,0.00070012826,0.00069343747,0.00016937102,0.0005427534,0.00058045425,0.0004782453,0.000047792928],"category_scores_gemma":[0.0030151892,0.0007699491,0.00016683538,0.0007857782,0.00009182064,0.00057311525,0.00032563208,0.0013701376,0.00015473306],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037851036,0.00021099395,0.07308665,0.00039263826,0.000018564519,0.00004476924,0.000017668668,0.05048876,0.8751797,0.000009729379,0.00008807385,0.0000839452],"study_design_scores_gemma":[0.001190798,0.000067414054,0.3912585,0.0014836015,0.000016292763,9.964749e-9,9.4208e-7,0.44055507,0.16460678,0.0000045861725,0.00014838701,0.0006676009],"about_ca_topic_score_codex":0.000442514,"about_ca_topic_score_gemma":0.000039019746,"teacher_disagreement_score":0.7105729,"about_ca_system_score_codex":0.0004253051,"about_ca_system_score_gemma":0.0004109625,"threshold_uncertainty_score":0.9994751},"labels":[],"label_agreement":null},{"id":"W2938588715","doi":"10.21105/joss.01272","title":"NeuroDSP: A package for neural digital signal processing","year":2019,"lang":"en","type":"article","venue":"The Journal of Open Source Software","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":88,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of California, San Diego; National Science Foundation","keywords":"Computer science; Signal processing; Digital signal processing; Computer graphics (images); Computer hardware","score_opus":0.03229693233721996,"score_gpt":0.2797655927625534,"score_spread":0.24746866042533344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2938588715","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.972829,0.000039354338,0.024607671,0.0012316603,0.00029437462,0.0006160332,0.00002326945,0.000030884068,0.0003277869],"genre_scores_gemma":[0.9954738,0.0000043256136,0.00014736915,0.0015181747,0.00016455942,0.0000029521468,0.0000013712354,0.000038338796,0.002649118],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987969,0.000098709264,0.00033843055,0.0001743143,0.00033714934,0.00025452927],"domain_scores_gemma":[0.9984549,0.0006649876,0.00047837736,0.00019591415,0.00012210815,0.000083676634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004354017,0.00014418017,0.00022779225,0.00006498034,0.00026049328,0.0007282514,0.0011103505,0.00003524564,0.000059777318],"category_scores_gemma":[0.00041415953,0.00008666847,0.00013208056,0.00022584428,0.00006793129,0.0012140159,0.00025795685,0.0003046565,0.000026834436],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033573424,0.0003341095,0.007895407,0.00018665043,0.000032654916,0.000061299485,0.002106551,0.010497624,0.3667188,0.00015897532,0.008252927,0.60039765],"study_design_scores_gemma":[0.027654551,0.020848649,0.022621179,0.0017563592,0.0008056962,0.018030653,0.006021566,0.32977995,0.15385011,0.02768182,0.38638332,0.0045661484],"about_ca_topic_score_codex":0.0000021017436,"about_ca_topic_score_gemma":4.428345e-7,"teacher_disagreement_score":0.5958315,"about_ca_system_score_codex":0.000023905375,"about_ca_system_score_gemma":0.00006607823,"threshold_uncertainty_score":0.70225453},"labels":[],"label_agreement":null},{"id":"W2939046905","doi":"10.1152/jn.00079.2019","title":"Thalamocortical dysrhythmia in intraoperative recordings of focal epilepsy","year":2019,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Neuroscience; Epilepsy surgery; Epilepsy; Context (archaeology); Thalamus; Electrophysiology; Electrocorticography; Cortex (anatomy); Premovement neuronal activity; Psychology; Electroencephalography; Medicine; Biology","score_opus":0.016985501245105766,"score_gpt":0.25403582958255966,"score_spread":0.2370503283374539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2939046905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99782413,0.0000027535043,0.000036767102,0.00045010177,0.0011304126,0.0001021339,0.000001915976,0.0000041031913,0.00044766266],"genre_scores_gemma":[0.9990455,0.000055551307,0.000061457446,0.00062160584,0.00012233265,8.6556526e-7,1.9695138e-7,0.000011278699,0.00008121307],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998694,0.00024077595,0.00052240107,0.00019933908,0.00015642233,0.00018708664],"domain_scores_gemma":[0.99900645,0.000428568,0.00031474928,0.00012531524,0.00007234586,0.00005258558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006533487,0.00010397651,0.00037032276,0.00016425055,0.00001754404,0.000008233769,0.00018129479,0.00006229414,0.00009541883],"category_scores_gemma":[0.00046784375,0.00007727821,0.00010929398,0.00024778006,0.00010687539,0.00017184175,0.0000579679,0.00043199403,0.00003100819],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037975,0.00008068235,0.0010158079,0.000010169267,0.0000027711728,0.00014536463,0.00004262945,0.0006714632,0.99395883,0.0017772497,0.000018501334,0.0018967622],"study_design_scores_gemma":[0.0034477676,0.014187032,0.590768,0.00014860275,0.000027465603,0.001999918,0.00010683862,0.027868384,0.34954178,0.010263373,0.0012061177,0.00043471725],"about_ca_topic_score_codex":0.000004044153,"about_ca_topic_score_gemma":6.2977387e-7,"teacher_disagreement_score":0.64441705,"about_ca_system_score_codex":0.000023927034,"about_ca_system_score_gemma":0.000042020223,"threshold_uncertainty_score":0.3151314},"labels":[],"label_agreement":null},{"id":"W2939884037","doi":"10.1152/jn.00496.2018","title":"Visual cortex neurons phase-lock selectively to subsets of LFP oscillations","year":2019,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Local field potential; Neuroscience; Receptive field; Visual cortex; Cortical neurons; Cortex (anatomy); Electrophysiology; Physics; Inhibitory postsynaptic potential; Psychology","score_opus":0.023043933827142482,"score_gpt":0.30160762003669705,"score_spread":0.2785636862095546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2939884037","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99742424,0.0000021196422,0.0001661121,0.00046152453,0.0014152719,0.00018144102,0.000015599378,0.000012844702,0.00032081714],"genre_scores_gemma":[0.9981166,0.000020842415,0.000056043253,0.0013799126,0.00014087731,0.00000105962,8.251883e-7,0.000020981593,0.00026282732],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985306,0.00022465577,0.00048325575,0.00027380753,0.00025026686,0.00023737339],"domain_scores_gemma":[0.99865997,0.00040622975,0.00045596465,0.00016199186,0.0001958015,0.00012002894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000045004766,0.00014137181,0.0003583327,0.0002691423,0.000068339585,0.000014968044,0.00025878323,0.000050960556,0.000079730526],"category_scores_gemma":[0.00043972794,0.00011716582,0.00015145165,0.0005120795,0.00006610078,0.00016013782,0.0000722357,0.0003015433,0.00008985094],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035496877,0.00022346755,0.00011239639,0.000007766664,0.000006219932,0.000025835505,0.000032288895,0.0027268522,0.99525857,0.00031624344,0.0001575037,0.00077789574],"study_design_scores_gemma":[0.00564765,0.03861457,0.48928013,0.00007372486,0.00010669827,0.0015910654,0.00005439866,0.035662007,0.41106477,0.0021568215,0.014996096,0.00075204304],"about_ca_topic_score_codex":0.0000031574948,"about_ca_topic_score_gemma":5.7826605e-7,"teacher_disagreement_score":0.58419377,"about_ca_system_score_codex":0.000023550092,"about_ca_system_score_gemma":0.000076281874,"threshold_uncertainty_score":0.47778836},"labels":[],"label_agreement":null},{"id":"W2941644862","doi":"10.1101/622837","title":"Feature-Specific Neural Reactivation during Episodic Memory","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Episodic memory; Recall; Feature (linguistics); Psychology; Neural correlates of consciousness; Semantic memory; Visual memory; Perception; Convolutional neural network; Cognitive psychology; Artificial intelligence; Computer science; Pattern recognition (psychology); Neuroscience; Cognition","score_opus":0.019963548167994623,"score_gpt":0.21389514348784694,"score_spread":0.19393159531985232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2941644862","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99044675,0.00024077475,0.00028030813,0.0009965239,0.006027845,0.0011170537,0.00013419751,0.0007007215,0.000055811877],"genre_scores_gemma":[0.9975642,0.0003236722,0.00024925524,0.0005009068,0.00091333245,0.00011995881,6.415551e-7,0.0001941343,0.00013390362],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9959017,0.000267948,0.0004649926,0.0019009041,0.0007138841,0.0007505667],"domain_scores_gemma":[0.99699193,0.00018340345,0.00064649264,0.0017221898,0.0002174561,0.00023851397],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034440096,0.0007269702,0.0005989152,0.000447442,0.00035062458,0.00045569293,0.0007662896,0.00063818827,0.00004643941],"category_scores_gemma":[0.00040762307,0.000759042,0.00026043926,0.0006886111,0.00013318966,0.00046620079,0.00063907204,0.0017094837,0.0002655316],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007831389,0.00007766062,0.00063883787,0.00023866148,0.000014831362,0.000077576704,0.000004604116,0.0007185036,0.9971575,0.00044843694,0.0005397986,0.0000052746186],"study_design_scores_gemma":[0.000581864,0.000052485164,0.08405117,0.00021147121,0.000032470973,1.3920362e-7,0.0000013741679,0.0041295956,0.90602297,0.000004492091,0.003987307,0.00092464505],"about_ca_topic_score_codex":0.000013182451,"about_ca_topic_score_gemma":5.870801e-7,"teacher_disagreement_score":0.09113451,"about_ca_system_score_codex":0.00045629268,"about_ca_system_score_gemma":0.00018447204,"threshold_uncertainty_score":0.999486},"labels":[],"label_agreement":null},{"id":"W2942088938","doi":"10.1073/pnas.1812171116","title":"Differentially synchronized spiking enables multiplexed neural coding","year":2019,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"National Institute of Neurological Disorders and Stroke; Canadian Institutes of Health Research; National Institutes of Health; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Computer science; Multiplexing; Predictive coding; Coding (social sciences); Spiking neural network; Artificial intelligence; Artificial neural network; Telecommunications; Mathematics","score_opus":0.048115354005087776,"score_gpt":0.2847357763027719,"score_spread":0.23662042229768415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2942088938","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944558,0.000012234847,0.0000014612492,0.0012741957,0.00010731328,0.00023683245,0.000007288284,0.00002098825,0.0038838738],"genre_scores_gemma":[0.9989552,0.000013238215,0.00020674946,0.00042427404,0.00005818025,0.0000042781544,6.189838e-8,0.0000051147294,0.00033288746],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980905,0.000010985076,0.00028847696,0.00032992155,0.001087661,0.00019245276],"domain_scores_gemma":[0.9991722,0.0002610849,0.00042166014,0.000008754103,0.00010877239,0.000027505004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005507569,0.00010308649,0.00015699264,0.00014387327,0.00023292772,0.000059175483,0.0007591212,0.000054557724,0.000035483135],"category_scores_gemma":[0.0008887438,0.00006612447,0.00009188806,0.00063107343,0.00042435538,0.00055864063,0.00019560743,0.00016328602,0.0000035304834],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001711527,0.00002070896,0.0033846828,0.000043903066,0.0000019526433,4.525611e-9,0.000035899157,0.00021807897,0.9514571,0.04446967,0.00003607227,0.00031483275],"study_design_scores_gemma":[0.00030168326,0.00005121768,0.029084286,0.00007831778,0.000005628902,0.000008426064,0.000041028597,0.06611322,0.8925494,0.01161634,0.000055594915,0.00009488821],"about_ca_topic_score_codex":0.0000035365454,"about_ca_topic_score_gemma":4.433824e-8,"teacher_disagreement_score":0.06589514,"about_ca_system_score_codex":0.000031339812,"about_ca_system_score_gemma":0.000017105887,"threshold_uncertainty_score":0.26964775},"labels":[],"label_agreement":null},{"id":"W2942414600","doi":"10.1101/619643","title":"The Contribution of Parietal Cortex to Visual Salience","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Institutes of Health","keywords":"Salience (neuroscience); Posterior parietal cortex; Visual cortex; Stimulus (psychology); Psychology; Cognitive psychology; Neuroscience; Sensory system","score_opus":0.013286733597454354,"score_gpt":0.2391902333316353,"score_spread":0.22590349973418095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2942414600","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991574,0.00008280502,0.0030208249,0.00042001027,0.0035576166,0.0010486661,0.0001329849,0.00015016235,0.000012930362],"genre_scores_gemma":[0.998989,0.00011628569,0.00007971227,0.00048071533,0.00018442933,0.000082867096,1.7795261e-7,0.000051163664,0.00001568885],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9972756,0.00019301412,0.00052042515,0.00092204724,0.0005798521,0.00050908345],"domain_scores_gemma":[0.99766386,0.0003457316,0.0004964854,0.00093230593,0.0003826285,0.00017901596],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00057836506,0.0003561418,0.00040177512,0.00012081647,0.00027618383,0.00023755312,0.00070904184,0.00026907184,0.00001071098],"category_scores_gemma":[0.0014495959,0.00028968955,0.00015196168,0.0005376428,0.00019846355,0.00012597383,0.0006425238,0.0005520331,0.00012514478],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007049019,0.00006321183,0.0014769553,0.000038341685,0.000012243805,0.000007692165,0.000002496478,0.00021375691,0.9912134,0.006760214,0.0001370587,0.0000041683156],"study_design_scores_gemma":[0.00030798753,0.00021026631,0.081077725,0.0001458794,0.00003951885,2.3509989e-8,0.0000014104711,0.0077193663,0.9042623,0.0000104340315,0.005739086,0.00048600973],"about_ca_topic_score_codex":0.000025518988,"about_ca_topic_score_gemma":0.0000031937477,"teacher_disagreement_score":0.08695108,"about_ca_system_score_codex":0.00015564714,"about_ca_system_score_gemma":0.0003388374,"threshold_uncertainty_score":0.99995553},"labels":[],"label_agreement":null},{"id":"W2943235242","doi":"10.1155/2019/6989128","title":"Discrimination of Motion Direction in a Robot Using a Phenomenological Model of Synaptic Plasticity","year":2019,"lang":"en","type":"article","venue":"Computational Intelligence and Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Neuroscience; Macaque; Stimulus (psychology); Computer science; Visual cortex; Plasticity; Sensory system; Synaptic plasticity; Mechanism (biology); Population; Artificial intelligence; Biological system; Psychology; Physics; Biology; Cognitive psychology","score_opus":0.12778915255661527,"score_gpt":0.3083902064413961,"score_spread":0.18060105388478082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943235242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67543936,0.0000037644734,0.32423878,0.000025924059,0.00010597879,0.00011583022,0.0000045649717,0.000007578735,0.000058214926],"genre_scores_gemma":[0.9992339,0.000023583467,0.0006407058,0.00007711019,0.000004164921,0.000002447208,8.059462e-7,0.000003829991,0.000013421652],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99894613,0.000058322443,0.00028295603,0.00034100722,0.00024972498,0.00012188189],"domain_scores_gemma":[0.9994543,0.00025238062,0.00015400468,0.000058028076,0.000052897438,0.000028399409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011350883,0.0000828568,0.00013617742,0.00018308226,0.000048996935,0.000015768328,0.0001145222,0.000032871667,0.0000046109867],"category_scores_gemma":[0.00031159708,0.00007467676,0.000025739257,0.00044783857,0.00021669101,0.0002864323,0.00006141382,0.00008753423,0.0000012371075],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018024251,0.0000573467,0.0005889161,0.000018604613,1.676968e-7,3.6958647e-7,0.00006393133,0.5887884,0.39961508,0.0096614305,4.7886207e-8,0.0011876932],"study_design_scores_gemma":[0.000057027293,0.0001535837,0.011618081,0.000032360782,0.0000026103894,0.00000997068,0.000029573252,0.93404186,0.040111016,0.01388036,1.6431163e-7,0.00006341046],"about_ca_topic_score_codex":0.000012502599,"about_ca_topic_score_gemma":0.0000024029878,"teacher_disagreement_score":0.35950404,"about_ca_system_score_codex":0.000026600143,"about_ca_system_score_gemma":0.00002367149,"threshold_uncertainty_score":0.304523},"labels":[],"label_agreement":null},{"id":"W2943373004","doi":"10.1145/3290607.3312839","title":"Improving Texture Discrimination in Virtual Tasks by using Stochastic Resonance","year":2019,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Haptic technology; Sandpaper; Computer science; Noise (video); Focus (optics); Texture (cosmology); Task (project management); Stochastic resonance; Artificial intelligence; Voice coil; Actuator; Computer vision; Human–computer interaction; Electromagnetic coil; Engineering; Image (mathematics)","score_opus":0.017474971782622317,"score_gpt":0.2461244150643933,"score_spread":0.228649443281771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943373004","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97705,0.000014091229,0.021500623,0.0001432077,0.00039528386,0.00021631435,0.0000094553425,0.00003494226,0.0006360727],"genre_scores_gemma":[0.9964709,0.0000014104393,0.00003846772,0.0005089676,0.000022481423,0.0000032418632,0.0000035293579,0.000011181466,0.0029398145],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917585,0.00003608642,0.00012743518,0.00031612042,0.00016697372,0.00017752373],"domain_scores_gemma":[0.99969465,0.00009246485,0.000051669645,0.00012399847,0.000011070758,0.00002614409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000808627,0.000087075496,0.00008037167,0.00006347051,0.000050169114,0.000045927256,0.0000952926,0.000047105204,0.00005362507],"category_scores_gemma":[0.00015618469,0.00007314478,0.000020656566,0.0001974347,0.00002218184,0.00028887278,0.00004595203,0.00013642792,0.000032199674],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016221666,0.000023389037,0.000120145734,0.000005620407,1.4375789e-7,0.0000015254159,0.000042273492,0.0017059366,0.9749146,0.002702092,0.000065795924,0.020402258],"study_design_scores_gemma":[0.0003442022,0.00010339618,0.0007625806,0.00002472536,0.0000021268133,0.000008042003,0.00008101557,0.9757554,0.022387467,0.00022455044,0.00015306527,0.00015344215],"about_ca_topic_score_codex":0.000110072986,"about_ca_topic_score_gemma":0.000034923643,"teacher_disagreement_score":0.97404945,"about_ca_system_score_codex":0.00006326051,"about_ca_system_score_gemma":0.000015182824,"threshold_uncertainty_score":0.29827577},"labels":[],"label_agreement":null},{"id":"W2944014200","doi":"10.11575/prism/36501","title":"The Universal Critical Dynamics of Noisy Neurons","year":2019,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Alberta Innovates","keywords":"Dynamics (music); Statistical physics; Neuroscience; Cognitive science; Computer science; Biology; Physics; Psychology","score_opus":0.031233420855235984,"score_gpt":0.31632408913497184,"score_spread":0.28509066827973584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944014200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8121918,0.000014904863,0.000039002854,0.001098192,0.0044227187,0.0007379455,0.00026199032,0.0000027256735,0.18123074],"genre_scores_gemma":[0.8970837,0.00004802836,0.00006139855,0.000060058348,0.000036243244,0.000005304741,0.0002026085,0.000031557705,0.10247112],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988829,0.0000918554,0.00021317645,0.000382081,0.0002413326,0.00018867727],"domain_scores_gemma":[0.9986837,0.00071717764,0.00014916791,0.00034189865,0.00006541986,0.000042655425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011583083,0.00014579439,0.00018180173,0.000046328383,0.0001987911,0.00020015017,0.00078463496,0.00012408396,0.00025333202],"category_scores_gemma":[0.0005482274,0.00010950652,0.000078290504,0.00015411209,0.000096338204,0.00015707665,0.00011210475,0.00029419895,0.0002057192],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017101179,0.0004973719,0.00016488657,0.00020339835,0.000042954274,0.0001410427,0.0009838098,0.0002478003,0.33140364,0.14099614,0.0020526052,0.5215562],"study_design_scores_gemma":[0.0036738245,0.0036279124,0.007400425,0.0010353002,0.00082556915,0.00015210979,0.012043927,0.35802782,0.27998126,0.009709581,0.31986496,0.0036573277],"about_ca_topic_score_codex":0.000039979215,"about_ca_topic_score_gemma":0.0006235464,"teacher_disagreement_score":0.5178989,"about_ca_system_score_codex":0.000040735722,"about_ca_system_score_gemma":0.00014600583,"threshold_uncertainty_score":0.44655463},"labels":[],"label_agreement":null},{"id":"W2945067895","doi":"10.1016/j.plrev.2019.05.002","title":"Is temporo-spatial dynamics the “common currency” of brain and mind? In Quest of “Spatiotemporal Neuroscience”","year":2019,"lang":"en","type":"review","venue":"Physics of Life Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":272,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research; Horizon 2020 Framework Programme; Physicians' Services Incorporated Foundation","keywords":"Neuroscience; Systems neuroscience; Consciousness; Cognitive neuroscience; Context (archaeology); Psychology; Social neuroscience; Perception; Cognitive science; Cognition; Cognitive psychology; Social cognition; Biology","score_opus":0.16028260720889803,"score_gpt":0.37989972132417565,"score_spread":0.21961711411527762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945067895","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011474508,0.9945656,0.00016494916,0.00027538088,0.0006926843,0.0024270704,0.00041361083,0.000006564329,0.00030670036],"genre_scores_gemma":[0.006606881,0.99290746,0.000028643906,0.00021358709,0.000081216494,0.000038082533,0.000031648196,0.000034621888,0.000057835878],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9958712,0.00083895493,0.0019125316,0.0006546778,0.0004720244,0.00025064906],"domain_scores_gemma":[0.99529135,0.00077759323,0.0029753463,0.00083143305,0.000056159217,0.00006811403],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00094539294,0.00044091354,0.002728582,0.00015200958,0.000047032627,0.000024684663,0.0007855944,0.00014140815,0.0000053825584],"category_scores_gemma":[0.0008504374,0.0002858703,0.0005639958,0.00096082164,0.00039845178,0.00020691453,0.00027292795,0.0004722064,0.000006385369],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005656721,0.00014901499,0.00035885125,0.01915766,0.0000043629366,6.2025873e-7,0.000064512154,0.0000035337298,0.00017962797,0.0017342968,0.00017348923,0.97816837],"study_design_scores_gemma":[0.0004073765,0.00052204664,0.00021245136,0.020918109,0.0003464285,0.000011802148,0.000008995369,0.009277239,0.00024757267,0.0012597782,0.96602595,0.0007622401],"about_ca_topic_score_codex":0.00022179565,"about_ca_topic_score_gemma":0.000058867627,"teacher_disagreement_score":0.97740614,"about_ca_system_score_codex":0.00004090337,"about_ca_system_score_gemma":0.00027343383,"threshold_uncertainty_score":0.99995935},"labels":[],"label_agreement":null},{"id":"W2945174113","doi":"10.1016/j.neuron.2019.03.027","title":"The Scientific Case for Brain Simulations","year":2019,"lang":"en","type":"review","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":206,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Seventh Framework Programme; Helmholtz Association; Horizon 2020 Framework Programme; Alberta Conservation Association; Deutsche Forschungsgemeinschaft; Norges Forskningsråd; European Commission","keywords":"Neuroscience; Psychology; Cognitive science; Computer science","score_opus":0.15621534206837573,"score_gpt":0.3770632528941197,"score_spread":0.22084791082574395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945174113","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00022813184,0.9809473,0.0001527704,0.00078799075,0.01200097,0.0044714394,0.00071718625,0.00013975534,0.00055443705],"genre_scores_gemma":[0.00042032797,0.9680118,0.000009754993,0.0005057415,0.0003000317,0.00013446406,0.00007004839,0.00009557662,0.030452248],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99829453,0.0002246921,0.0003193773,0.00066422625,0.00019683487,0.0003003212],"domain_scores_gemma":[0.9943618,0.004695337,0.00022843324,0.00063047896,0.00003415493,0.000049788752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002390568,0.00022671135,0.00036590322,0.00010545644,0.0010728372,0.0005102982,0.00034434485,0.00009997458,0.000010722571],"category_scores_gemma":[0.0013809453,0.00014032588,0.00033443532,0.00040728712,0.00011824354,0.00009428991,0.00009107741,0.000261336,0.00014740245],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033235046,0.000017772107,4.3907036e-8,0.0015373535,0.0000028383467,0.00005624868,0.000005302802,0.000051361236,0.00026931136,0.0030996206,0.006621578,0.98833525],"study_design_scores_gemma":[0.000069798516,0.00006134194,7.812049e-8,0.000189189,0.00007674232,0.0004185146,7.131284e-7,0.005026594,0.000009521428,0.00017951477,0.9938262,0.0001417675],"about_ca_topic_score_codex":0.0000016339179,"about_ca_topic_score_gemma":0.000015926145,"teacher_disagreement_score":0.98819345,"about_ca_system_score_codex":0.000039968876,"about_ca_system_score_gemma":0.00011322827,"threshold_uncertainty_score":0.82515043},"labels":[],"label_agreement":null},{"id":"W2945908058","doi":"10.1101/637652","title":"A zero-inflated gamma model for post-deconvolved calcium imaging traces","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Douglas Mental Health University Institute; McGill University","funders":"National Institute of Biomedical Imaging and Bioengineering; Canada Research Chairs; Gatsby Charitable Foundation; Charles H. Revson Foundation; National Institutes of Health; National Science Foundation","keywords":"Calcium imaging; Context (archaeology); Calcium; Statistical model; Poisson distribution; Neural activity; Artificial neural network","score_opus":0.03034584487823925,"score_gpt":0.24443578087975593,"score_spread":0.21408993600151668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945908058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94593793,0.00017978557,0.045659203,0.0008030007,0.003272749,0.002276133,0.0010858251,0.0007691242,0.00001623082],"genre_scores_gemma":[0.99582124,0.00006689963,0.0016081802,0.0015545635,0.0002790775,0.00033960651,0.0000013251633,0.00023917163,0.00008991751],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.995889,0.00012411273,0.00072152785,0.0018810304,0.00046185468,0.0009224457],"domain_scores_gemma":[0.99690443,0.00026621774,0.0006294956,0.0013485376,0.0005631105,0.00028819812],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00049490575,0.0007686927,0.00070440315,0.00037531217,0.00029592187,0.00052643375,0.0008599095,0.00047782843,0.000020709234],"category_scores_gemma":[0.0007049608,0.0007933518,0.0003743371,0.000377411,0.00013431576,0.0004146487,0.0004809673,0.00086349895,0.00009232101],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000118619944,0.00009494314,0.00054151297,0.0003573927,0.000027914826,0.00002366058,0.000011039,0.005572004,0.9919065,0.0009916199,0.00034928208,0.000005474113],"study_design_scores_gemma":[0.00068897917,0.00005214884,0.00226353,0.0001594886,0.00007752544,3.936067e-8,0.0000010655907,0.62298816,0.37225127,0.000027127491,0.0006907508,0.0007999013],"about_ca_topic_score_codex":0.000031782874,"about_ca_topic_score_gemma":0.0000019580255,"teacher_disagreement_score":0.61965525,"about_ca_system_score_codex":0.00027298095,"about_ca_system_score_gemma":0.0006109661,"threshold_uncertainty_score":0.99945176},"labels":[],"label_agreement":null},{"id":"W2946305567","doi":"10.3389/fnins.2019.00510","title":"The P3 Reflects Awareness and Can Be Modulated by Confidence","year":2019,"lang":"en","type":"article","venue":"Frontiers in Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Low Confidence; Psychology; Neural correlates of consciousness; Negativity effect; Event-related potential; Confidence interval; Audiology; Consciousness; Cognitive psychology; Cognition; Social psychology; Medicine; Neuroscience; Internal medicine","score_opus":0.018978319081955613,"score_gpt":0.2523192872686108,"score_spread":0.2333409681866552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946305567","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991367,0.00008167607,0.0010550591,0.0023904936,0.0041661626,0.0003550348,0.000017252158,0.000053184343,0.000514131],"genre_scores_gemma":[0.9937164,0.00034438918,0.000044524386,0.003364796,0.000011031609,0.000012742922,8.710476e-7,0.0000133256735,0.0024919263],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99808437,0.00014289144,0.0001968194,0.0007489256,0.00037979876,0.00044722226],"domain_scores_gemma":[0.9992495,0.00017679235,0.00009315737,0.00036260203,0.000021212174,0.00009669556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025749466,0.00015547907,0.00015031823,0.0000845906,0.00042387203,0.00021969798,0.00055420195,0.000050598108,0.000002238665],"category_scores_gemma":[0.00052285055,0.00011555512,0.00002410412,0.0007344299,0.00046085686,0.0002820171,0.00013628222,0.00023204918,0.000002570748],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003196695,0.000017797664,0.010570334,0.0000068572426,2.49731e-7,0.000011965157,0.000060044807,0.00018980546,0.98338985,0.0010798333,0.0028609058,0.0017804031],"study_design_scores_gemma":[0.0012540852,0.0006802426,0.03370497,0.00006678059,0.000007760767,0.000117018775,0.00021993424,0.6389434,0.25919998,0.007752923,0.057172284,0.00088067685],"about_ca_topic_score_codex":0.00006677237,"about_ca_topic_score_gemma":0.000025535855,"teacher_disagreement_score":0.7241899,"about_ca_system_score_codex":0.000044853805,"about_ca_system_score_gemma":0.000058683756,"threshold_uncertainty_score":0.47122014},"labels":[],"label_agreement":null},{"id":"W2946658038","doi":"10.1101/647628","title":"The Effect of Aging, Parkinson’s Disease, and Exogenous Dopamine on the Neural Response Associated with Auditory Regularity Processing","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Academic Medical Organization of Southwestern Ontario","keywords":"Dopaminergic; Dopamine; Parkinson's disease; Electroencephalography; Psychology; Ventral tegmental area; Neuroscience; Audiology; Disease; Medicine; Internal medicine","score_opus":0.011764255942310623,"score_gpt":0.20974354244935126,"score_spread":0.19797928650704064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946658038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962687,0.00036824314,0.000029237946,0.0009675348,0.0008185681,0.0012607016,0.00012939022,0.00015416814,0.0000034435104],"genre_scores_gemma":[0.9992293,0.000089274334,0.000009929167,0.00023367659,0.0001821554,0.00014337323,1.8561927e-7,0.00008648398,0.000025623107],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9961065,0.0014700486,0.00034567682,0.0009385058,0.0006771306,0.00046213262],"domain_scores_gemma":[0.9956547,0.002181649,0.00070877874,0.0011182412,0.00018290785,0.00015371236],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018792202,0.00047528138,0.0004312464,0.00011315009,0.00064673583,0.00035380415,0.0005924973,0.00019253392,0.0000025703264],"category_scores_gemma":[0.00298246,0.00027852634,0.000104708975,0.0004069593,0.0004554655,0.00011221106,0.0003617912,0.0008828376,0.0000036718213],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025289578,0.00012841768,0.016388863,0.00045119805,0.00007812683,0.000070659225,0.000011779964,0.00044975345,0.9795911,0.00015638275,0.00012233561,0.000022455211],"study_design_scores_gemma":[0.00079971127,0.0008757909,0.7230664,0.0011053578,0.00022611154,6.1954964e-8,0.0000015056244,0.010914767,0.26123887,0.0000042178335,0.0011331431,0.0006340508],"about_ca_topic_score_codex":0.000009304263,"about_ca_topic_score_gemma":0.0000027054778,"teacher_disagreement_score":0.7183522,"about_ca_system_score_codex":0.00018218128,"about_ca_system_score_gemma":0.00029803388,"threshold_uncertainty_score":0.9999667},"labels":[],"label_agreement":null},{"id":"W2946798561","doi":"10.1016/j.neuroimage.2019.05.045","title":"The relation between brain signal complexity and task difficulty on an executive function task","year":2019,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Addiction and Mental Health; McMaster University; University of Toronto; Baycrest Hospital","funders":"McMaster University","keywords":"Task (project management); Psychology; Perception; Electroencephalography; Sample entropy; SIGNAL (programming language); Cognitive psychology; Computer science; Scalp; Function (biology); Brain function; Brain activity and meditation; Speech recognition; Pattern recognition (psychology); Neuroscience; Biology","score_opus":0.03997202399965741,"score_gpt":0.2645669693636062,"score_spread":0.22459494536394878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946798561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939861,0.0000034243778,0.0003686989,0.0015395097,0.00042944014,0.0004428303,0.00005769359,0.000106503576,0.0030657838],"genre_scores_gemma":[0.9971658,0.000007049335,0.000008685196,0.0013695825,0.00013105245,0.00000705755,0.000032207525,0.000021761374,0.0012568063],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9982726,0.00037588857,0.00019081226,0.0005871146,0.0003211992,0.0002524144],"domain_scores_gemma":[0.99858546,0.0008560764,0.00012423423,0.0003160922,0.000029543411,0.00008857951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022057697,0.00017136673,0.00013419164,0.000051503735,0.0005070996,0.00018264205,0.00015520935,0.00006159524,0.00002032387],"category_scores_gemma":[0.00015591929,0.00012137981,0.000048297472,0.00019213403,0.00017282343,0.0003597478,0.00006924215,0.0003543151,0.000115853334],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002047086,0.00005402012,0.0030853723,0.0000069246685,0.0000030389199,0.0000061579985,0.000080248785,0.00006570303,0.9765373,0.009278834,0.00082445494,0.0098532215],"study_design_scores_gemma":[0.00070495106,0.0014574978,0.9585777,0.0000116669235,0.000016896303,0.000019101926,0.000035416742,0.017225388,0.007018557,0.0051423595,0.009537974,0.0002524936],"about_ca_topic_score_codex":0.000013523496,"about_ca_topic_score_gemma":0.000008507443,"teacher_disagreement_score":0.9695188,"about_ca_system_score_codex":0.000029357863,"about_ca_system_score_gemma":0.000010880968,"threshold_uncertainty_score":0.4949725},"labels":[],"label_agreement":null},{"id":"W2946828648","doi":"10.1007/s00221-019-05533-y","title":"Diffusion modeling of interference and decay in auditory short-term memory","year":2019,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; Memorial University of Newfoundland; St. Thomas University","funders":"Natural Sciences and Engineering Research Council of Canada; St. Thomas University","keywords":"Forgetting; Interference (communication); Term (time); Short-term memory; Interference theory; Diffusion; Task (project management); Computer science; Working memory; Cognitive psychology; Psychology; Neuroscience; Physics; Telecommunications; Cognition; Engineering","score_opus":0.08809965025433755,"score_gpt":0.3771346662095222,"score_spread":0.28903501595518466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946828648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945275,0.000098039156,0.000029898494,0.0001689196,0.00029526855,0.00035020502,0.0000027378776,0.000014382866,0.0045130188],"genre_scores_gemma":[0.9991328,0.0000305554,0.00001639215,0.00007027564,0.000045306744,0.000021740338,0.0000017021717,0.000013991117,0.0006671949],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99835765,0.00025056177,0.00020457212,0.0004364811,0.00045553668,0.00029520018],"domain_scores_gemma":[0.9992418,0.00041600954,0.000020923379,0.0002224325,0.000026929716,0.00007188604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051365583,0.000097716824,0.00014139531,0.00024715578,0.000074680596,0.000038114693,0.00022174405,0.00005733906,0.00012859472],"category_scores_gemma":[0.0000927934,0.00008768373,0.000028621835,0.00023517162,0.00015498517,0.00018553014,0.00040277175,0.00030748404,0.000025441544],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010299272,0.00012660514,0.0012950979,0.00002078283,7.19995e-7,0.000009167912,0.00058084365,0.00009279462,0.9959163,0.00068288564,0.00005556829,0.001116222],"study_design_scores_gemma":[0.0003925782,0.0003441872,0.0015286902,0.00008155891,2.65041e-7,0.000007245725,0.0008136184,0.12895784,0.86764294,0.000106463805,0.000019676527,0.00010493719],"about_ca_topic_score_codex":0.00005928752,"about_ca_topic_score_gemma":0.0000095381865,"teacher_disagreement_score":0.12886505,"about_ca_system_score_codex":0.00008395004,"about_ca_system_score_gemma":0.000027732593,"threshold_uncertainty_score":0.35756385},"labels":[],"label_agreement":null},{"id":"W2946891991","doi":"10.1186/s13408-019-0071-6","title":"Linking demyelination to compound action potential dispersion with a spike-diffuse-spike approach","year":2019,"lang":"en","type":"article","venue":"The Journal of Mathematical Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Jitter; Neuroscience; Spike (software development); Transmission (telecommunications); Computer science; Sodium channel; Action (physics); Action potential; Physics; Biological system; Electrophysiology; Biology; Chemistry; Telecommunications","score_opus":0.038635819850402174,"score_gpt":0.2672022960821098,"score_spread":0.22856647623170764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946891991","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8669821,0.0000027432952,0.13052462,0.0012466625,0.0004940729,0.00032039764,0.0000011011055,0.000021829872,0.00040644917],"genre_scores_gemma":[0.99724716,0.000016668291,0.0011516421,0.0011896065,0.00009895665,0.0000018145529,1.8769292e-7,0.00001752282,0.00027643857],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99782026,0.00020341571,0.00038812423,0.00026426042,0.0010441021,0.00027984378],"domain_scores_gemma":[0.99882144,0.00032864584,0.00035009658,0.0002627539,0.00009372237,0.00014334945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000869899,0.00015859783,0.0002211953,0.00014879575,0.00027685842,0.00016241374,0.00061449147,0.000041608342,0.000017475928],"category_scores_gemma":[0.0004122712,0.0000858244,0.000080088765,0.0005813722,0.0001590161,0.00050853094,0.000120752535,0.00038851524,0.00005172708],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026938206,0.00023404401,0.000043370652,0.000040660518,9.836325e-7,0.000011954481,0.0002174923,0.0074761263,0.98903847,0.0015648067,0.000028555432,0.0010741344],"study_design_scores_gemma":[0.0021949478,0.004029085,0.006251659,0.00043533495,0.00010475927,0.0074569643,0.00062066474,0.8468332,0.119166955,0.011281933,0.0009861192,0.0006383763],"about_ca_topic_score_codex":8.7055537e-7,"about_ca_topic_score_gemma":3.3938463e-7,"teacher_disagreement_score":0.86987156,"about_ca_system_score_codex":0.000050099043,"about_ca_system_score_gemma":0.00003734875,"threshold_uncertainty_score":0.34998176},"labels":[],"label_agreement":null},{"id":"W2947327998","doi":"10.3389/fninf.2019.00035","title":"ELFENN: A Generalized Platform for Modeling Ephaptic Coupling in Spiking Neuron Models","year":2019,"lang":"en","type":"article","venue":"Frontiers in Neuroinformatics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Context (archaeology); Coupling (piping); Biological neuron model; Electric field; Cable theory; Computer science; Biological system; Physics; Parameter space; Neuroscience; Artificial neural network; Artificial intelligence; Mathematics; Materials science; Biology","score_opus":0.0413182415414551,"score_gpt":0.24541796227810267,"score_spread":0.20409972073664756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947327998","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88176423,0.000027836668,0.11403799,0.00008542173,0.0021071008,0.0011350302,0.0000117861755,0.00007563415,0.0007549701],"genre_scores_gemma":[0.9899843,0.00017418072,0.008473368,0.001098802,0.000042092914,0.000046603356,0.000012267545,0.00005185792,0.00011655712],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99785376,0.000019675432,0.0007976825,0.0003799007,0.00033162767,0.0006173726],"domain_scores_gemma":[0.9991906,0.00015126253,0.0001946594,0.00035633243,0.00002894771,0.00007816903],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003166148,0.000267337,0.00040012042,0.0004927171,0.00009585487,0.00012692505,0.00035947276,0.0001088515,0.0000032543394],"category_scores_gemma":[0.00020190107,0.0002694233,0.00011216112,0.00046600174,0.000027784634,0.0013253756,0.00010285806,0.00038056844,0.000009954206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013450424,0.00003325724,0.00065991265,0.00012191535,0.0000016509531,0.000007746839,0.00027509994,0.9898725,0.0051653706,0.002918661,0.00008706575,0.00072231813],"study_design_scores_gemma":[0.001671912,0.00012011068,0.000024277846,0.000069344576,0.000006293411,0.0000095420755,0.00014691094,0.98738474,0.0005437333,0.009572428,0.00017030028,0.0002803904],"about_ca_topic_score_codex":0.000011745015,"about_ca_topic_score_gemma":0.000006175371,"teacher_disagreement_score":0.10822004,"about_ca_system_score_codex":0.00013593194,"about_ca_system_score_gemma":0.000049307775,"threshold_uncertainty_score":0.9999758},"labels":[],"label_agreement":null},{"id":"W2947444780","doi":"10.1101/657957","title":"Action information contributes to metacognitive decision-making","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Belgian Federal Science Policy Office; European Commission; Canadian Institute for Advanced Research","keywords":"Metacognition; Psychology; Cognitive psychology; Fluency; Perception; Task (project management); Action (physics); Process (computing); Quality (philosophy); Decision quality; Cognition; Computer science; Knowledge management; Neuroscience; Mathematics education","score_opus":0.021327226480311347,"score_gpt":0.25666896862231336,"score_spread":0.23534174214200201,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947444780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90093297,0.000052274092,0.08987029,0.00037750203,0.006140523,0.0016907532,0.00043792202,0.00044274333,0.000055039964],"genre_scores_gemma":[0.9951886,0.000073854666,0.0013447476,0.0029489216,0.00020410006,0.00017303322,4.4329644e-7,0.00006101206,0.000005270066],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99731207,0.00015441804,0.0006083216,0.00086707814,0.0005583936,0.00049969414],"domain_scores_gemma":[0.9973259,0.00060285575,0.0005202188,0.0008128929,0.00057750044,0.00016060723],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004978853,0.00047600723,0.00048925646,0.00066080224,0.0002489968,0.0006798969,0.0005002347,0.00041820388,0.000039056216],"category_scores_gemma":[0.0035057242,0.00048247247,0.00017396946,0.0008394725,0.00005288267,0.00086435454,0.00062711816,0.00074014586,0.0008757791],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020220046,0.00006654325,0.00057333783,0.00017081469,0.00004853757,0.000013477856,0.000009714,0.001910982,0.99395686,0.002168887,0.0007081009,0.00017055549],"study_design_scores_gemma":[0.0008935252,0.0001669486,0.060623948,0.0013834719,0.00018161969,5.339014e-8,0.000008715051,0.016587052,0.8964975,0.00011553629,0.022138096,0.0014035557],"about_ca_topic_score_codex":0.000011550219,"about_ca_topic_score_gemma":0.0000015765704,"teacher_disagreement_score":0.09745937,"about_ca_system_score_codex":0.00040550038,"about_ca_system_score_gemma":0.00027957957,"threshold_uncertainty_score":0.9999021},"labels":[],"label_agreement":null},{"id":"W2947724232","doi":"10.3389/fpsyg.2019.01253","title":"Corrigendum: Effects of Nodal Distance on Conditioned Stimulus Valences Across Time","year":2019,"lang":"en","type":"erratum","venue":"Frontiers in Psychology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Psychology; Stimulus (psychology); NODAL; Cognitive psychology; Neuroscience; Audiology; Anatomy; Medicine","score_opus":0.015328246066236235,"score_gpt":0.29427988162210333,"score_spread":0.2789516355558671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947724232","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03184709,0.0015529235,0.016887251,0.0008524122,0.8825557,0.0023739184,0.0016006555,0.00018977278,0.062140256],"genre_scores_gemma":[0.20244712,0.004055389,0.0009291429,0.011929289,0.0024274425,0.0002884267,0.0011690888,0.00035249372,0.7764016],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971606,0.00032350837,0.00047504692,0.0010923547,0.00038130803,0.0005671923],"domain_scores_gemma":[0.9985107,0.00023368532,0.0004859838,0.0006628953,0.000037883674,0.00006885594],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017330321,0.0003837531,0.00077512086,0.00027432846,0.00009295835,0.000026320438,0.00066562113,0.00067285466,0.00008688517],"category_scores_gemma":[0.0003604656,0.0003623235,0.00015954644,0.00043084726,0.0004874414,0.00012511565,0.00006757647,0.0010345061,0.00022305283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003652913,0.0002218271,0.0005782783,0.0002379865,0.000015931651,0.000107279106,0.00009303481,0.000017333607,0.0058329385,0.00019743218,0.9866267,0.00570597],"study_design_scores_gemma":[0.008258083,0.006420198,0.019831445,0.0020407168,0.00011953988,0.000103004735,0.00008302773,0.0155601,0.0071354927,0.033368662,0.9044679,0.002611835],"about_ca_topic_score_codex":0.000006948974,"about_ca_topic_score_gemma":0.000004513285,"teacher_disagreement_score":0.88012826,"about_ca_system_score_codex":0.000093928225,"about_ca_system_score_gemma":0.00005681032,"threshold_uncertainty_score":0.9998829},"labels":[],"label_agreement":null},{"id":"W2947752523","doi":"10.3389/fninf.2019.00039","title":"Unsupervised Detection of Cell-Assembly Sequences by Similarity-Based Clustering","year":2019,"lang":"en","type":"article","venue":"Frontiers in Neuroinformatics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"RIKEN; Japan Society for the Promotion of Science; Ministry of Education, Culture, Sports, Science and Technology; Japan Agency for Medical Research and Development","keywords":"Computer science; Cluster analysis; Prefrontal cortex; Spike (software development); Similarity (geometry); Pattern recognition (psychology); Artificial intelligence; Event (particle physics); Hippocampus; Neural coding; Population; Neuroscience; Biology; Cognition","score_opus":0.010919707920656722,"score_gpt":0.20743554013597354,"score_spread":0.19651583221531682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947752523","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9523282,0.000012116654,0.043881185,0.000073465104,0.001633315,0.00037798256,0.000024092269,0.000054293057,0.0016153397],"genre_scores_gemma":[0.99721426,0.000043094846,0.0018547063,0.00075006083,0.000009013458,0.0000054415887,0.0000064309743,0.00001605344,0.000100932186],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987018,0.000071667935,0.0004538703,0.0001982911,0.00031505752,0.0002593058],"domain_scores_gemma":[0.99934405,0.00011575286,0.00021137936,0.00025301188,0.000024135245,0.00005167134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015595964,0.00015545251,0.0002261026,0.00021534709,0.000059187885,0.00004908498,0.00025892927,0.00007972052,0.0000062797444],"category_scores_gemma":[0.00010141642,0.00015106957,0.000067100664,0.0004294481,0.00005387982,0.00046223833,0.00004986784,0.00023315655,0.000012314475],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006900791,0.000055386256,0.0024025282,0.0002679107,0.0000013207576,0.0000032593246,0.00013783728,0.020742703,0.9737447,0.000018705447,0.00039009165,0.0021665809],"study_design_scores_gemma":[0.00044068563,0.00014955258,0.00018443637,0.000018929382,0.0000033582855,0.0000019207698,0.00008452911,0.6381183,0.36031386,0.000056799123,0.000517959,0.00010963794],"about_ca_topic_score_codex":0.000010504804,"about_ca_topic_score_gemma":0.0000043205755,"teacher_disagreement_score":0.6173756,"about_ca_system_score_codex":0.000052758947,"about_ca_system_score_gemma":0.00003557717,"threshold_uncertainty_score":0.61604387},"labels":[],"label_agreement":null},{"id":"W2947815718","doi":"10.1101/659268","title":"Amplifying the Neural Power Spectrum","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Computer science; Spectral density; Time domain; Parametric statistics; Artificial intelligence; Neural decoding; Electroencephalography; Artificial neural network; Decoding methods; Speech recognition; Gaussian noise; Gaussian; Frequency domain; Pattern recognition (psychology); Algorithm; Mathematics; Psychology; Computer vision; Physics; Statistics; Telecommunications","score_opus":0.022206003269263738,"score_gpt":0.22546960487071208,"score_spread":0.20326360160144835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947815718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98724073,0.00017297202,0.000813756,0.0023632487,0.00757791,0.0010679638,0.00014575101,0.00050982105,0.00010785736],"genre_scores_gemma":[0.9964847,0.000091588285,0.000094516225,0.0025582188,0.00049590337,0.00008138183,1.0147098e-7,0.00014643198,0.00004714249],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9964802,0.00026172772,0.00047115446,0.0014148605,0.00060637406,0.0007656619],"domain_scores_gemma":[0.997098,0.00028143948,0.0004460496,0.0018926439,0.00010500616,0.00017681444],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00045611733,0.0006019638,0.00045422604,0.0001898933,0.00039219903,0.0006293352,0.0011706566,0.0003644104,0.000108909204],"category_scores_gemma":[0.0004796225,0.00047072957,0.00026426534,0.0005451904,0.00018514057,0.00021446684,0.0009858165,0.0015151894,0.00042268526],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029732291,0.000062666804,0.0017491278,0.00009232274,0.000020377176,0.000053707445,0.0000065382646,0.00075496803,0.99245876,0.004275303,0.00049511745,0.0000014055105],"study_design_scores_gemma":[0.00087115087,0.00022880174,0.13013302,0.00033750475,0.00013859858,2.6815476e-7,0.000005167811,0.025926234,0.8136954,0.00007111114,0.026257047,0.002335747],"about_ca_topic_score_codex":0.000028042703,"about_ca_topic_score_gemma":0.0000016739541,"teacher_disagreement_score":0.17876339,"about_ca_system_score_codex":0.00019592303,"about_ca_system_score_gemma":0.00022343008,"threshold_uncertainty_score":0.99977446},"labels":[],"label_agreement":null},{"id":"W2948237394","doi":"10.1007/978-3-030-20518-8_71","title":"Digital Implementation of a Biological-Plausible Model for Astrocyte Ca $$^{2+}$$ Oscillations","year":2019,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Field-programmable gate array; Astrocyte; Software; Nonlinear system; Computer hardware; Field (mathematics); Brain Cell; Neuron; Neuroscience; Embedded system; Physics","score_opus":0.051100874976767255,"score_gpt":0.29155345959403917,"score_spread":0.24045258461727193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2948237394","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00816613,0.000008711681,0.98893607,0.00015539814,0.00050456123,0.000704067,0.00028942322,0.000030837607,0.0012047875],"genre_scores_gemma":[0.9762768,0.000012626955,0.02201976,0.0005043667,0.000110515924,0.00001103018,0.00003705034,0.000021741034,0.0010060675],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99818087,0.0000082220295,0.00035479962,0.00078259624,0.00036662526,0.00030687187],"domain_scores_gemma":[0.9988397,0.00044814058,0.00026700457,0.00027690476,0.00011628405,0.000051997664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016484623,0.0002344416,0.0002754579,0.00032365095,0.00013619098,0.00014172871,0.00045617082,0.00013442276,0.000029299184],"category_scores_gemma":[0.000106568,0.00019385765,0.0001110347,0.0002131978,0.00030266886,0.0003045522,0.00022293278,0.00018803854,0.000010812218],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054728116,0.000036747268,0.00046880456,0.00007133768,0.000006128346,0.0000026987955,0.00019057625,0.519159,0.08308999,0.03204887,0.000034574463,0.3648365],"study_design_scores_gemma":[0.0002629784,0.00029709004,0.00008560411,0.000045734294,0.000004665821,0.000008497457,2.3486788e-7,0.94885325,0.009648608,0.04019696,0.0003684358,0.00022796338],"about_ca_topic_score_codex":0.0000045085108,"about_ca_topic_score_gemma":0.00004495273,"teacher_disagreement_score":0.9681107,"about_ca_system_score_codex":0.000111648835,"about_ca_system_score_gemma":0.00029456502,"threshold_uncertainty_score":0.7905286},"labels":[],"label_agreement":null},{"id":"W2948317846","doi":"10.1007/s00221-019-05568-1","title":"Clarifying frequency-dependent brightness enhancement: delta- and theta-band flicker, not alpha-band flicker, consistently seen as brightest","year":2019,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta","funders":"","keywords":"Flicker; Physics; Alpha (finance); Brightness; Electroencephalography; Psychology; Nuclear magnetic resonance; Optics; Neuroscience; Developmental psychology; Electrical engineering","score_opus":0.08120679186799958,"score_gpt":0.36887422745385057,"score_spread":0.287667435585851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2948317846","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9750925,0.0009629306,0.000034821547,0.0024915293,0.00072261767,0.0015162136,0.00004811785,0.00010035384,0.019030916],"genre_scores_gemma":[0.98221135,0.00012956884,0.000048402315,0.0020430463,0.00015371671,0.00015254834,0.000032583113,0.000075174656,0.015153589],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9941763,0.00076728454,0.00054412923,0.0015482209,0.0017868942,0.0011771229],"domain_scores_gemma":[0.9975799,0.0010486421,0.00014341885,0.0006898703,0.00014289672,0.00039530473],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0013891828,0.00044004808,0.00045350194,0.0003450112,0.0009326431,0.0006363025,0.0006467336,0.00023077549,0.0013963778],"category_scores_gemma":[0.00032038923,0.00037887885,0.00014187154,0.0005326844,0.0007022944,0.00065635535,0.000388886,0.0009315826,0.0009534974],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002450479,0.00030219305,0.0009075774,0.000047751026,0.000025460391,0.00012442615,0.0006261286,0.0000022117345,0.982687,0.013595112,0.0007756782,0.0006613951],"study_design_scores_gemma":[0.002026705,0.00086293183,0.00088648195,0.00008367652,0.0000071484455,0.00018002385,0.00046926184,0.0006068557,0.9889247,0.0013322631,0.0041472577,0.0004727371],"about_ca_topic_score_codex":0.0006686991,"about_ca_topic_score_gemma":0.00004329255,"teacher_disagreement_score":0.012262849,"about_ca_system_score_codex":0.000282822,"about_ca_system_score_gemma":0.00015707748,"threshold_uncertainty_score":0.9998663},"labels":[],"label_agreement":null},{"id":"W2948800812","doi":"10.3389/fnins.2019.00531","title":"Influence of Head Tissue Conductivity Uncertainties on EEG Dipole Reconstruction","year":2019,"lang":"en","type":"article","venue":"Frontiers in Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":95,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"H2020 Marie Skłodowska-Curie Actions; National Institute of General Medical Sciences; Fonds de Recherche du Québec - Santé; Austrian Science Fund; Deutsche Forschungsgemeinschaft; Savoy Foundation; National Institutes of Health; National Science Foundation","keywords":"Conductivity; Electroencephalography; Dipole; Inverse; Inverse problem; Materials science; Biological system; Physics; Computer science; Mathematics; Mathematical analysis; Geometry; Neuroscience","score_opus":0.01960747527307892,"score_gpt":0.2585348253642441,"score_spread":0.23892735009116517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2948800812","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937696,0.00001056001,0.000422767,0.00021898063,0.0037155466,0.0003477719,0.000014289982,0.000045377456,0.0014550923],"genre_scores_gemma":[0.9979917,0.00004376415,0.0002081206,0.00067617657,0.000014606425,0.00000961099,4.1421515e-7,0.000011869123,0.0010437684],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980729,0.00015950779,0.0002886001,0.0007290091,0.00041119388,0.00033879429],"domain_scores_gemma":[0.9992012,0.00012238898,0.00018568478,0.00038931626,0.00003644841,0.000064987355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023544423,0.00016842359,0.0002531227,0.0002894925,0.0000996395,0.000041920488,0.00040460652,0.0000644073,0.000011675198],"category_scores_gemma":[0.0007182729,0.0001564896,0.000042921558,0.00090740767,0.00051935186,0.0006479669,0.000078637924,0.0002646426,0.00002507328],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060656042,0.00006125606,0.042041898,0.000022324131,3.0567122e-7,0.000005696386,0.0000465169,0.01839032,0.93181616,0.0016634236,0.00012428363,0.0057671336],"study_design_scores_gemma":[0.0007769473,0.0010344331,0.24000359,0.00016214776,0.0000050196973,0.0000725595,0.00010607402,0.042230356,0.7061031,0.0052551045,0.0037551096,0.0004955435],"about_ca_topic_score_codex":0.000058781072,"about_ca_topic_score_gemma":0.0000057342,"teacher_disagreement_score":0.22571307,"about_ca_system_score_codex":0.00007332912,"about_ca_system_score_gemma":0.000053748092,"threshold_uncertainty_score":0.63814604},"labels":[],"label_agreement":null},{"id":"W2948952460","doi":"10.1016/j.neuron.2019.05.014","title":"Widespread and Highly Correlated Somato-dendritic Activity in Cortical Layer 5 Neurons","year":2019,"lang":"en","type":"article","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":115,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Neuroscience; Apical dendrite; Dendritic spine; Dendritic spike; Electrophysiology; Cortical neurons; Neuron; Visual cortex; Biology; Ex vivo; Inhibitory postsynaptic potential; Calcium imaging; Somatic cell; Somatosensory system; Soma; In vivo; Chemistry; Hippocampal formation; Excitatory postsynaptic potential","score_opus":0.02013262677402263,"score_gpt":0.2450400592442082,"score_spread":0.22490743247018558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2948952460","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960354,0.00000503269,0.000017092352,0.00085058354,0.0011388302,0.00028840423,0.0000058892424,0.00009709605,0.0015616554],"genre_scores_gemma":[0.9979461,0.000026069216,0.0000062690906,0.0011572663,0.000019878955,0.00000699748,0.0000010941774,0.00002509403,0.00081125967],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99859077,0.00020450576,0.00016217158,0.0005294254,0.0002029396,0.00031016432],"domain_scores_gemma":[0.9990143,0.0005900699,0.000049028415,0.00024124983,0.000013416892,0.00009194643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006956567,0.00015131697,0.00017381013,0.0000970515,0.00006915061,0.00006136037,0.00011333774,0.00007879507,0.000045765188],"category_scores_gemma":[0.0004009543,0.00014293248,0.000031314852,0.0002956329,0.0000705895,0.00025861769,0.000095014424,0.00044969947,0.00019487458],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007486723,0.00009060595,0.012716159,0.000015333624,6.125011e-7,0.00008645408,0.000019421072,0.00007708087,0.98426706,0.0015245087,0.00007244997,0.0010554213],"study_design_scores_gemma":[0.0017352613,0.00076217897,0.6591888,0.000054117932,0.000017229731,0.00023984746,0.000009181097,0.14012194,0.1955436,0.0005690674,0.0013219083,0.00043687766],"about_ca_topic_score_codex":0.000032654432,"about_ca_topic_score_gemma":0.000019210494,"teacher_disagreement_score":0.78872347,"about_ca_system_score_codex":0.000023579827,"about_ca_system_score_gemma":0.000020045407,"threshold_uncertainty_score":0.5828617},"labels":[],"label_agreement":null},{"id":"W2948996897","doi":"10.1523/eneuro.0082-19.2019","title":"Cortical Tracking of Complex Sound Envelopes: Modeling the Changes in Response with Intensity","year":2019,"lang":"en","type":"article","venue":"eNeuro","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"Irish Research Council; Science Foundation Ireland","keywords":"Stimulus (psychology); Amplitude; Auditory cortex; Magnetoencephalography; Sensory system; Speech recognition; Computer science; Electroencephalography; Neuroscience; Psychology; Physics; Cognitive psychology","score_opus":0.08208699711501485,"score_gpt":0.2741439935042838,"score_spread":0.19205699638926896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2948996897","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99790037,0.0000019197098,0.0004039542,0.001221494,0.0001351848,0.00016085604,0.0000027470599,0.00001847676,0.0001549757],"genre_scores_gemma":[0.99837285,0.0000049177565,0.000027009697,0.0014789011,0.000014085393,0.00000202658,5.360681e-7,0.000010472669,0.00008922032],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914336,0.0001842422,0.000121641395,0.00022545362,0.00017542043,0.00014987594],"domain_scores_gemma":[0.99914575,0.0005639081,0.00004651637,0.00019314076,0.00002894537,0.000021721458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026739278,0.00007697764,0.00012073602,0.000055113385,0.000056340297,0.000023329432,0.00014041168,0.000021519772,0.000020601934],"category_scores_gemma":[0.00042613372,0.000048306134,0.000019598127,0.000196249,0.00006689094,0.00006119172,0.00005433942,0.00018630868,0.000009844595],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014408045,0.00003167865,0.0037847438,0.000008667877,0.0000010574347,0.000018678831,0.00031728,0.008145656,0.9853857,0.00054077874,0.000006352362,0.00031856165],"study_design_scores_gemma":[0.0006964433,0.0006367098,0.12875369,0.000053500906,0.000008242813,0.00009895008,0.00029057995,0.787038,0.08112015,0.0007419822,0.00034608055,0.00021565166],"about_ca_topic_score_codex":0.000013535423,"about_ca_topic_score_gemma":0.000070943825,"teacher_disagreement_score":0.9042656,"about_ca_system_score_codex":0.000013622376,"about_ca_system_score_gemma":0.000014954988,"threshold_uncertainty_score":0.1969867},"labels":[],"label_agreement":null},{"id":"W2949096658","doi":"10.1016/j.neuroimage.2018.03.019","title":"New waves: Rhythmic electrical field stimulation systematically alters spontaneous slow dynamics across mouse neocortex","year":2018,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge; Women and Children’s Health Research Institute; University of Alberta","funders":"Campus Alberta Neuroscience; Catching the Dream","keywords":"Neocortex; Neuroscience; Rhythm; Stimulation; Stimulus (psychology); Somatosensory system; Forebrain; Premovement neuronal activity; Physics; Psychology; Central nervous system; Acoustics","score_opus":0.017636971338642164,"score_gpt":0.2730619072522097,"score_spread":0.2554249359135675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949096658","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95071787,0.0000035978135,0.044335324,0.00080620433,0.0009887882,0.00067921117,0.000027248143,0.00030491728,0.002136842],"genre_scores_gemma":[0.9893642,0.000009161248,0.0006081423,0.0032717858,0.00042231972,0.000009866849,0.000010007145,0.00005661873,0.006247902],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99746674,0.00018378068,0.00047237036,0.0007639233,0.00049323024,0.0006199393],"domain_scores_gemma":[0.9982651,0.00068944425,0.00017190979,0.00056953286,0.00007474831,0.00022927271],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015996426,0.00028653917,0.0002969164,0.0000977371,0.000318345,0.0002804518,0.00033890194,0.00013267518,0.00008819424],"category_scores_gemma":[0.0012320481,0.00026186247,0.00012928761,0.00046272215,0.000095736934,0.0003091685,0.0001164877,0.0003763105,0.00038050182],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006056355,0.00014296755,0.0002683533,0.00012052059,0.000009999206,0.0020046937,0.00024886732,0.00039384843,0.9536964,0.005765314,0.003830735,0.032912616],"study_design_scores_gemma":[0.00093910383,0.0018884405,0.0020575614,0.000054157998,0.000029541561,0.0028938535,0.000020718493,0.9492677,0.04031098,0.0011292796,0.0008546982,0.00055397244],"about_ca_topic_score_codex":0.00005200028,"about_ca_topic_score_gemma":0.000055814715,"teacher_disagreement_score":0.9488738,"about_ca_system_score_codex":0.0001278568,"about_ca_system_score_gemma":0.000060998096,"threshold_uncertainty_score":0.9999834},"labels":[],"label_agreement":null},{"id":"W2949119968","doi":"10.1016/j.nbd.2019.104488","title":"Epilepsy as a manifestation of a multistate network of oscillatory systems","year":2019,"lang":"en","type":"review","venue":"Neurobiology of Disease","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Krembil Foundation; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Ontario Brain Institute","keywords":"Neuroscience; Epilepsy; Ictal; Attractor; Computer science; Coupling (piping); Hippocampus; Nerve net; Psychology; Physics; Artificial intelligence; Mathematics","score_opus":0.05746440111739237,"score_gpt":0.31507969760095916,"score_spread":0.2576152964835668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949119968","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.059420608,0.9290778,0.000027200169,0.000020975018,0.0053113815,0.0033241492,0.0021355122,0.000067497196,0.0006148903],"genre_scores_gemma":[0.046598803,0.95268095,0.0000077221885,0.00006667136,0.00008768317,0.000043005748,0.0001218579,0.00004988627,0.00034340247],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972643,0.000777544,0.0009579718,0.0005758761,0.00017034425,0.0002539295],"domain_scores_gemma":[0.99682766,0.00084234535,0.0016090141,0.0005256525,0.00008861168,0.00010672232],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001663506,0.00030617404,0.0014135531,0.00014020558,0.000033466327,0.0000058608657,0.00033779224,0.00017623077,0.000017379672],"category_scores_gemma":[0.00040767685,0.00025163038,0.00045311393,0.00030067313,0.00028341913,0.000054108987,0.000108196764,0.00020970187,0.000035407178],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025960011,0.002199479,0.0019767673,0.51235515,0.0005518038,0.00019855148,0.00013768033,0.013958659,0.015753033,0.053272944,0.00442662,0.3925733],"study_design_scores_gemma":[0.002951706,0.0050801258,0.0031814775,0.035354283,0.0052395207,0.00013525345,0.000023405448,0.0038318762,0.00035182585,0.0013698958,0.94005126,0.0024293473],"about_ca_topic_score_codex":0.000018714394,"about_ca_topic_score_gemma":7.528772e-7,"teacher_disagreement_score":0.93562466,"about_ca_system_score_codex":0.000024537694,"about_ca_system_score_gemma":0.00028007344,"threshold_uncertainty_score":0.9999936},"labels":[],"label_agreement":null},{"id":"W2949121478","doi":"10.1523/jneurosci.1370-17.2019","title":"Medial prefrontal cortex population activity is plastic irrespective of learning","year":2019,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Medical Research Council","keywords":"Prefrontal cortex; Psychology; Neuroscience; Self-reference effect; Population; Cortex (anatomy); Cognitive psychology; Consumer neuroscience; Medicine; Cognition","score_opus":0.022892967888087846,"score_gpt":0.26767489683912127,"score_spread":0.24478192895103343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949121478","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961844,0.00000315223,0.0004941871,0.000103649036,0.0028851295,0.00010046989,0.0000038337544,0.000009958769,0.0002152285],"genre_scores_gemma":[0.99952245,0.00001429095,0.000020860913,0.000118447715,0.000081762824,4.04133e-7,1.010987e-7,0.000008726506,0.00023298532],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984087,0.0001318835,0.00030226694,0.0002630952,0.00071129156,0.00018277451],"domain_scores_gemma":[0.9986355,0.00039228352,0.0007031022,0.000108934684,0.000077874145,0.000082315215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022237092,0.00010483194,0.00021119959,0.00017689825,0.000097409276,0.000042850894,0.00026719214,0.000038380767,0.000030631105],"category_scores_gemma":[0.001504285,0.00008482178,0.00010079906,0.000389069,0.00010156447,0.0006974318,0.00006528772,0.0003729237,0.00000821503],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015943522,0.000062281724,0.015989875,0.000007759377,5.980898e-7,0.000013594902,0.00008590802,0.0012300458,0.9818175,0.000101399084,0.000008527864,0.0005231141],"study_design_scores_gemma":[0.000384324,0.001216037,0.8735044,0.000029533461,0.000008296923,0.00016371797,0.000017465945,0.047185082,0.077101514,0.00020638641,0.00009012121,0.00009310181],"about_ca_topic_score_codex":0.000010636539,"about_ca_topic_score_gemma":0.0000024430296,"teacher_disagreement_score":0.90471596,"about_ca_system_score_codex":0.00005748925,"about_ca_system_score_gemma":0.000058756075,"threshold_uncertainty_score":0.34589317},"labels":[],"label_agreement":null},{"id":"W2949233563","doi":"10.1523/jneurosci.0346-18.2018","title":"Neural Signatures of the Processing of Temporal Patterns in Sound","year":2018,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research; Canada First Research Excellence Fund","keywords":"Electroencephalography; Categorization; Psychology; Perception; Brain activity and meditation; Neural activity; Synchronization (alternating current); Coherence (philosophical gambling strategy); Speech recognition; Task (project management); Neural adaptation; Communication; Distraction; Cognitive psychology; Computer science; Audiology; Neuroscience; Adaptation (eye); Artificial intelligence; Medicine","score_opus":0.039259369861791786,"score_gpt":0.29091469973550116,"score_spread":0.25165532987370937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949233563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99807656,0.000013770837,0.00023662059,0.00041177202,0.0011028609,0.00007256764,0.0000040551467,0.000002984955,0.00007882787],"genre_scores_gemma":[0.9992381,0.0000065024224,0.000025554096,0.0006063327,0.00007798117,3.135123e-7,1.8204915e-8,0.0000061248584,0.00003907325],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99853027,0.000120525205,0.00045974995,0.00016977284,0.00054905465,0.00017063589],"domain_scores_gemma":[0.9988453,0.00009629721,0.0007503661,0.00014715706,0.00011979654,0.0000411132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003028828,0.000085801665,0.00016606919,0.00015073584,0.00009185369,0.0000355911,0.00062009215,0.000030438072,0.000003903419],"category_scores_gemma":[0.0007866938,0.000051585317,0.00008524203,0.0007235493,0.00048534104,0.000390384,0.000097203934,0.0002627352,1.9311477e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037389676,0.00006455607,0.034250285,0.00001755089,1.5364785e-7,0.000011442168,0.00011784094,0.00032392456,0.9640955,0.00007152722,0.000015512564,0.0009943651],"study_design_scores_gemma":[0.0004517741,0.0010168861,0.51738054,0.00016537124,0.000007562953,0.0002717363,0.000064725515,0.030597338,0.44839516,0.001391131,0.00013557379,0.00012216765],"about_ca_topic_score_codex":0.000007537124,"about_ca_topic_score_gemma":0.000015516254,"teacher_disagreement_score":0.5157003,"about_ca_system_score_codex":0.000015076732,"about_ca_system_score_gemma":0.00007779126,"threshold_uncertainty_score":0.21035883},"labels":[],"label_agreement":null},{"id":"W2949380016","doi":"10.1038/s41598-019-44680-8","title":"Theta band high definition transcranial alternating current stimulation, but not transcranial direct current stimulation, improves associative memory performance","year":2019,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hotchkiss Brain Institute; Ontario Brain Institute; University of Calgary","funders":"Canadian Institutes of Health Research; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Parkinson Canada; Canada Research Chairs; University of Calgary","keywords":"Transcranial alternating current stimulation; Transcranial direct-current stimulation; Neuroscience; Stimulation; Content-addressable memory; Brain stimulation; Psychology; Forgetting; Working memory; Cognition; Cognitive psychology; Transcranial magnetic stimulation; Computer science; Artificial intelligence; Artificial neural network","score_opus":0.0299140488370958,"score_gpt":0.2594751308863937,"score_spread":0.22956108204929787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949380016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9699436,0.000054749504,0.0004922319,0.00010141376,0.026886728,0.0010386107,0.000058923382,0.00016699109,0.0012567919],"genre_scores_gemma":[0.9983924,0.000032380332,0.00005455057,0.000044296627,0.00033168175,0.000030333698,0.00014388715,0.000036771235,0.00093368825],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9955851,0.00021769032,0.00092096213,0.0014183682,0.0013340091,0.00052390684],"domain_scores_gemma":[0.99801826,0.00027138027,0.0007154364,0.0005617681,0.00029721262,0.00013593255],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013682367,0.00033773814,0.00036106756,0.0002502685,0.0007928134,0.0004904494,0.00022643979,0.000088027526,0.00015792514],"category_scores_gemma":[0.00036635547,0.00030167168,0.00021689675,0.000617566,0.0001803648,0.0009804292,0.000035715035,0.00037070294,0.00007179261],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012516884,0.00025522325,0.0053927395,0.00011080957,0.000011136656,0.000017020693,0.0006964458,0.008127792,0.9557012,0.00025091265,0.00015209294,0.029159507],"study_design_scores_gemma":[0.0032368568,0.00052527204,0.11070038,0.0003890882,0.00018331426,0.00010000502,0.00006125975,0.23339593,0.6350802,0.011434423,0.003416585,0.0014766919],"about_ca_topic_score_codex":0.00003352609,"about_ca_topic_score_gemma":0.000015207376,"teacher_disagreement_score":0.32062095,"about_ca_system_score_codex":0.00016773249,"about_ca_system_score_gemma":0.00019636791,"threshold_uncertainty_score":0.99994355},"labels":[],"label_agreement":null},{"id":"W2949442237","doi":"10.1101/671743","title":"Distinct roles of parvalbumin and somatostatin interneurons in the synchronization of spike-times in the neocortex","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"National Research Foundation of Korea; Korea University; National Research Foundation; Wellcome Trust","keywords":"Parvalbumin; Inhibitory postsynaptic potential; Neuroscience; Interneuron; Neocortex; Optogenetics; Synchronization (alternating current); Somatostatin; Biology; Sensory system; Computer science","score_opus":0.013373173268497665,"score_gpt":0.22172374920214344,"score_spread":0.20835057593364578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949442237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99791145,0.00011445407,0.0003204561,0.00034996067,0.00027662233,0.0008452337,0.00014320713,0.000022328059,0.000016285972],"genre_scores_gemma":[0.99945426,0.00012311728,0.00005940279,0.00023155852,0.000036979247,0.00006119937,3.6890486e-7,0.00003131256,0.0000017770407],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99786603,0.00048285007,0.0005267617,0.0005494918,0.00034193083,0.00023290158],"domain_scores_gemma":[0.99806005,0.0006615375,0.00048288552,0.00070016785,0.00006796678,0.000027417516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000633553,0.00026443868,0.00035327362,0.00019847261,0.000043818785,0.00009397958,0.00063854555,0.00014474738,0.000006903908],"category_scores_gemma":[0.00076777773,0.00018273163,0.00006416856,0.0005207259,0.00019566271,0.00011026112,0.00021144115,0.00047745794,0.0000034670145],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060278937,0.0003333212,0.11756682,0.00072662043,0.000011214111,0.0000439103,0.0002739946,0.00052567443,0.8738133,0.0065130806,0.00010222076,0.000029570774],"study_design_scores_gemma":[0.00058627856,0.00016366372,0.8601217,0.0006297865,0.00004600043,1.2760064e-7,0.00005639394,0.021755263,0.115896516,0.000051035197,0.00030168245,0.00039155417],"about_ca_topic_score_codex":0.00009297757,"about_ca_topic_score_gemma":0.0000488403,"teacher_disagreement_score":0.7579168,"about_ca_system_score_codex":0.000039906412,"about_ca_system_score_gemma":0.00012494763,"threshold_uncertainty_score":0.74515796},"labels":[],"label_agreement":null},{"id":"W2949606941","doi":"10.1016/j.neuroimage.2017.06.078","title":"Inferring synaptic excitation/inhibition balance from field potentials","year":2017,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1094,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Local field potential; Electrocorticography; Computation; Neuroscience; Balance (ability); Electrophysiology; Electroencephalography; Computer science; Statistical physics; Psychology; Physics; Algorithm","score_opus":0.038561275333094336,"score_gpt":0.28049950248642297,"score_spread":0.24193822715332863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949606941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98699564,0.000005141204,0.002577524,0.002152874,0.0011453086,0.00014217552,0.00002678209,0.00010548593,0.006849095],"genre_scores_gemma":[0.99668914,0.000025252579,0.00011389296,0.0025304332,0.00018510227,0.00000936398,0.000006254555,0.000017404125,0.00042317936],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99893737,0.000066866894,0.00016871012,0.00042412188,0.0002050615,0.00019786954],"domain_scores_gemma":[0.99892575,0.00028069998,0.00017347412,0.00053765863,0.000025250056,0.00005719637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006882448,0.000118411255,0.000117400596,0.000043707325,0.0005541936,0.00040234684,0.00024032679,0.000048583926,0.00014170186],"category_scores_gemma":[0.0017284304,0.00011674202,0.0000618734,0.000042928354,0.00006489313,0.0006219569,0.00011764666,0.00017178144,0.00020021283],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017833796,0.00002170868,0.0009989584,0.0000058571904,0.0000015881823,0.00009839813,0.000018357205,0.00001739972,0.99496,0.0011423414,0.00044388018,0.0022736546],"study_design_scores_gemma":[0.0010741865,0.000253498,0.25250617,0.00008315347,0.000029600036,0.000041056705,0.0000121039575,0.031822734,0.6871747,0.024467975,0.0020483157,0.0004865305],"about_ca_topic_score_codex":0.00009800927,"about_ca_topic_score_gemma":0.00001459517,"teacher_disagreement_score":0.30778533,"about_ca_system_score_codex":0.000012780674,"about_ca_system_score_gemma":0.000010180591,"threshold_uncertainty_score":0.47606015},"labels":[],"label_agreement":null},{"id":"W2949629329","doi":"10.1162/neco_a_01114","title":"CosMIC: A Consistent Metric for Spike Inference from Calcium Imaging","year":2018,"lang":"en","type":"article","venue":"Neural Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre; Montreal General Hospital","funders":"Biotechnology and Biological Sciences Research Council; Canadian Institutes of Health Research","keywords":"Spike (software development); Metric (unit); Spike train; Similarity (geometry); Computer science; Pattern recognition (psychology); Artificial intelligence; Mathematics; Smoothing; Inference; Algorithm; Statistics; Engineering","score_opus":0.07488356692118796,"score_gpt":0.3321278823030666,"score_spread":0.25724431538187864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949629329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8378603,0.000015147945,0.15900742,0.0007546279,0.0015000022,0.00037000148,0.000040305637,0.00013105918,0.0003211657],"genre_scores_gemma":[0.9961816,0.0000020299904,0.00093510107,0.0025097467,0.00025171574,0.00001907543,0.000035713227,0.000015596299,0.00004942708],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988804,0.000070693786,0.0002180872,0.00041466867,0.00019951757,0.0002166485],"domain_scores_gemma":[0.99883914,0.0007144972,0.00012775112,0.00011460391,0.00014167132,0.000062356616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000743932,0.0001288772,0.0001283031,0.00013463662,0.00023281822,0.00015886847,0.00012071648,0.000029151539,0.000017713408],"category_scores_gemma":[0.0005065237,0.000117846605,0.00006721936,0.00036873587,0.0000990711,0.0002839429,0.000050185074,0.000088451634,0.000048758287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018363843,0.0000849154,0.0022428152,0.000020704358,0.0000059164713,0.000011124805,0.00015869235,0.0020764337,0.79473794,0.0021925853,0.0015027837,0.19678247],"study_design_scores_gemma":[0.0005632662,0.00021780084,0.008316524,0.000010202906,0.000015952319,0.000009879203,0.00001670486,0.9339719,0.049407747,0.006420484,0.00088482274,0.00016475956],"about_ca_topic_score_codex":0.00007576164,"about_ca_topic_score_gemma":0.000012572709,"teacher_disagreement_score":0.93189543,"about_ca_system_score_codex":0.000047496305,"about_ca_system_score_gemma":0.00002174935,"threshold_uncertainty_score":0.4805645},"labels":[],"label_agreement":null},{"id":"W2949658478","doi":"10.1371/journal.pcbi.1005990","title":"Imaging of neural oscillations with embedded inferential and group prevalence statistics","year":2018,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute of Biomedical Imaging and Bioengineering; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Magnetoencephalography; Electroencephalography; Pattern recognition (psychology); SIGNAL (programming language); Physics; Brain activity and meditation; Computer science; Modulation (music); Noise (video); Statistical power; Artificial intelligence; Neuroscience; Statistics; Mathematics; Biology; Acoustics","score_opus":0.023681853199333455,"score_gpt":0.2679118312984567,"score_spread":0.24422997809912322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949658478","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92189807,0.000007196924,0.07732408,0.00017004843,0.0001312578,0.00011403852,0.00016098045,0.000026901256,0.00016743015],"genre_scores_gemma":[0.9937675,0.000003974416,0.0058454233,0.00026008472,0.000058195743,0.000003763576,0.00003866101,0.0000058200985,0.000016594198],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934936,0.00007444475,0.00014447253,0.00022476354,0.00009746528,0.0001094772],"domain_scores_gemma":[0.9993148,0.00038820357,0.000095378426,0.000058879774,0.00011154164,0.000031213876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003348332,0.000073515024,0.00008940523,0.000064845466,0.000109911765,0.000016248337,0.00006195439,0.000019033014,0.000043251297],"category_scores_gemma":[0.00012885172,0.000058919915,0.000009840468,0.00010976275,0.0004288165,0.00007760615,0.00004613612,0.00005404203,0.000004866506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002703399,0.00022591552,0.14374553,0.000116661984,0.000027575916,0.000007080797,0.00033917432,0.003207809,0.53524435,0.30647907,0.00016005027,0.01017645],"study_design_scores_gemma":[0.00046919103,0.000571215,0.09277957,0.000016032005,0.000020523697,0.00004427136,0.000008793679,0.87128294,0.0031660625,0.031465046,0.000039451195,0.00013689819],"about_ca_topic_score_codex":0.000004393756,"about_ca_topic_score_gemma":0.0000056805607,"teacher_disagreement_score":0.86807513,"about_ca_system_score_codex":0.0000068503505,"about_ca_system_score_gemma":0.000019526757,"threshold_uncertainty_score":0.24026845},"labels":[],"label_agreement":null},{"id":"W2949759224","doi":"10.3390/e19100540","title":"Complexity-Entropy Maps as a Tool for the Characterization of the Clinical Electrophysiological Evolution of Patients under Pharmacological Treatment with Psychotropic Drugs","year":2017,"lang":"en","type":"article","venue":"Entropy","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"","keywords":"Electroencephalography; Entropy (arrow of time); Permutation (music); Computer science; Information theory; Artificial intelligence; Nonlinear system; Machine learning; Pattern recognition (psychology); Mathematics; Neuroscience; Psychology; Statistics","score_opus":0.056101972474572825,"score_gpt":0.3290600010834791,"score_spread":0.2729580286089063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949759224","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943218,0.0000033830888,0.002644856,0.0012521626,0.0005913913,0.0010636845,0.000080259284,0.000014653128,0.000027813201],"genre_scores_gemma":[0.9991447,0.00007116281,0.00005387719,0.00034817331,0.00013367277,0.00006658463,0.000016889908,0.000009152625,0.00015584282],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99867946,0.00024388559,0.00031689502,0.00030868142,0.00024509942,0.00020600259],"domain_scores_gemma":[0.99869394,0.00028043138,0.00053702673,0.000376038,0.000080550904,0.000031998952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009590733,0.00013842857,0.0002222286,0.000016678712,0.00050926855,0.00004154906,0.0003803558,0.00006009582,0.000038789512],"category_scores_gemma":[0.00016329333,0.00006072935,0.00017625908,0.00006820202,0.00050634384,0.00011218396,0.000061174855,0.00012837866,0.000004917951],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023566545,0.0008217045,0.013072713,0.0000071182076,0.000038240636,3.63573e-7,0.000019907917,0.000021618334,0.91308624,0.06866022,0.000041888787,0.0018733245],"study_design_scores_gemma":[0.004047394,0.005549071,0.9183498,0.000014021137,0.00013037711,0.0000017211992,0.000009629889,0.0051729167,0.055375364,0.009984846,0.0012241775,0.00014068506],"about_ca_topic_score_codex":0.000012472535,"about_ca_topic_score_gemma":0.0000012757805,"teacher_disagreement_score":0.9052771,"about_ca_system_score_codex":0.00008496359,"about_ca_system_score_gemma":0.00004249627,"threshold_uncertainty_score":0.39169332},"labels":[],"label_agreement":null},{"id":"W2949777679","doi":"10.1101/252940","title":"Large-scale two-photon imaging revealed super-sparse population codes in V1 superficial layer of awake monkeys","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Education and Child Care","funders":"","keywords":"Neural coding; Population; Calcium imaging; Coding (social sciences); Pattern recognition (psychology); Artificial intelligence; Computer science; Sensory system; Scale (ratio); Neuroscience; Set (abstract data type); Mathematics; Psychology; Cartography; Geography; Statistics; Medicine","score_opus":0.021018120235247677,"score_gpt":0.24728610130610582,"score_spread":0.22626798107085813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949777679","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955816,0.00006768243,0.0004443838,0.00019632661,0.0020693615,0.0009098107,0.0004835794,0.0002260286,0.000021194039],"genre_scores_gemma":[0.998149,0.000089688256,0.000732458,0.0003228291,0.00046615992,0.00009715338,0.0000021184935,0.00013083428,0.000009786403],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99594533,0.00038325696,0.00086212525,0.0014503571,0.00061707455,0.0007418607],"domain_scores_gemma":[0.9977473,0.00013762516,0.00049970904,0.0011230286,0.00031275136,0.00017955445],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007569205,0.0005833897,0.00076080527,0.00054676144,0.00020232299,0.00016943588,0.00060072425,0.00035549898,0.00006968741],"category_scores_gemma":[0.0005449276,0.0006293435,0.00019942268,0.00083928084,0.00016468306,0.00035382042,0.00053249765,0.0007799654,0.00004122036],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059343813,0.00019464958,0.17778237,0.00016848353,0.000007996354,0.000035550514,0.000024546202,0.00020707915,0.8210079,0.00043079615,0.00007953213,0.0000017586647],"study_design_scores_gemma":[0.0010536214,0.000056775276,0.27629808,0.00046900814,0.000055300312,7.484968e-8,0.000007869265,0.035801392,0.68494767,0.000034941415,0.0004633132,0.0008119915],"about_ca_topic_score_codex":0.00046191763,"about_ca_topic_score_gemma":0.00013654881,"teacher_disagreement_score":0.13606025,"about_ca_system_score_codex":0.00029065166,"about_ca_system_score_gemma":0.000206493,"threshold_uncertainty_score":0.9996158},"labels":[],"label_agreement":null},{"id":"W2949932457","doi":"10.1016/j.neuroimage.2017.03.034","title":"Optical-flow analysis toolbox for characterization of spatiotemporal dynamics in mesoscale optical imaging of brain activity","year":2017,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mesoscale meteorology; Optical flow; Toolbox; Computer science; Flow map; Pixel; Artificial intelligence; Flow (mathematics); Computer vision; Pattern recognition (psychology); Geology; Physics; Image (mathematics)","score_opus":0.027147460314101063,"score_gpt":0.28873333722744216,"score_spread":0.2615858769133411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949932457","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94502735,3.949596e-7,0.051285345,0.0022517035,0.00018617784,0.00030510273,0.00017553735,0.000018294833,0.0007500644],"genre_scores_gemma":[0.9989208,0.0000038308985,0.0007166727,0.00014451183,0.000026961985,0.000011526024,0.00003160129,0.000018542089,0.0001255311],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99862486,0.00007354668,0.00033738365,0.00043302702,0.00030687283,0.00022429165],"domain_scores_gemma":[0.99860734,0.0003268001,0.0003793103,0.00053901714,0.00009370146,0.000053850094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033201888,0.00013866436,0.00034962525,0.00022314757,0.00012163236,0.000084399486,0.00030743613,0.000053431573,0.000009732403],"category_scores_gemma":[0.0020681594,0.00013911253,0.00017620994,0.00027987568,0.0002141806,0.0005298508,0.00009585194,0.00014042573,0.0000010393301],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001310264,0.00015791181,0.018171357,0.000042848525,0.000006545977,0.000009380175,0.000017954853,0.00009301837,0.9564609,0.0019413988,0.000005408013,0.022962267],"study_design_scores_gemma":[0.00032374344,0.00006154438,0.2863452,0.000007736101,0.000035507226,0.0000015323758,0.000002656836,0.44628763,0.26672247,0.00011745865,0.000013103561,0.000081410566],"about_ca_topic_score_codex":0.00004192786,"about_ca_topic_score_gemma":0.00010000836,"teacher_disagreement_score":0.6897384,"about_ca_system_score_codex":0.000058993966,"about_ca_system_score_gemma":0.00003170482,"threshold_uncertainty_score":0.5672844},"labels":[],"label_agreement":null},{"id":"W2950291468","doi":"10.1016/j.jbiomech.2019.01.013","title":"A robust method to estimate the largest Lyapunov exponent of noisy signals: A revision to the Rosenstein’s algorithm","year":2019,"lang":"en","type":"article","venue":"Journal of Biomechanics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Rehabilitation Institute; University Health Network","funders":"","keywords":"Series (stratigraphy); Lyapunov exponent; Exponent; Mathematics; Lorenz system; Noise (video); Graph; Applied mathematics; Algorithm; Computer science; Mathematical analysis; Artificial intelligence; Combinatorics; Image (mathematics); Geology","score_opus":0.03618217767266663,"score_gpt":0.3174878491028207,"score_spread":0.28130567143015406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950291468","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28597075,0.00014242921,0.6942728,0.01595415,0.0025412168,0.00097613956,0.000052559728,0.000021212347,0.00006869846],"genre_scores_gemma":[0.8855821,0.00018455338,0.10450215,0.00788168,0.0005310228,0.000010753691,0.0000018789615,0.000084250874,0.0012215953],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99791354,0.00031078397,0.00058538816,0.00024361792,0.0006878446,0.00025880898],"domain_scores_gemma":[0.9982909,0.00045031993,0.00053503906,0.0003811431,0.0002109,0.00013169163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021310751,0.00016193137,0.00030995897,0.00020617557,0.00012911689,0.00008901038,0.00059311965,0.000060168666,0.000036932237],"category_scores_gemma":[0.0003992044,0.00008203627,0.00019468744,0.0008156127,0.000013935436,0.00013264269,0.00021199179,0.00026734924,0.00006267076],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000073712654,0.00005992076,0.0000010948525,0.000013849739,0.000008457466,0.000013745728,0.00014429947,0.0026725235,0.8556455,0.00040335205,0.0007472806,0.14021626],"study_design_scores_gemma":[0.00048040866,0.0018172895,0.000031791034,0.0002503108,0.0000508749,0.00041023098,0.00016512162,0.41699514,0.5370329,0.0008575295,0.041702155,0.0002062704],"about_ca_topic_score_codex":0.000012054406,"about_ca_topic_score_gemma":0.0000026500577,"teacher_disagreement_score":0.59961134,"about_ca_system_score_codex":0.000063276486,"about_ca_system_score_gemma":0.000049822833,"threshold_uncertainty_score":0.3345342},"labels":[],"label_agreement":null},{"id":"W2950364629","doi":"10.1016/j.neuroimage.2019.03.028","title":"MEG sensor patterns reflect perceptual but not categorical similarity of animate and inanimate objects","year":2019,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"European Research Council; Provincia Autonoma di Trento; Deutsche Forschungsgemeinschaft; European Commission","keywords":"Animacy; Perception; Magnetoencephalography; Pattern recognition (psychology); Object (grammar); Categorical variable; Artificial intelligence; Similarity (geometry); Psychology; Stimulus (psychology); Categorical perception; Communication; Computer science; Cognitive psychology; Electroencephalography; Neuroscience","score_opus":0.035766893764785014,"score_gpt":0.27026998295465593,"score_spread":0.23450308918987092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950364629","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965972,0.000003580461,0.000046837864,0.00029828175,0.00037428818,0.000276554,0.00008895677,0.00008704261,0.002227305],"genre_scores_gemma":[0.99794024,0.000062066974,0.000043528,0.0013074789,0.000040134422,0.0000035687633,0.000003846554,0.000032880398,0.0005662483],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982674,0.00018367877,0.00026280287,0.0006303446,0.00031877327,0.00033698435],"domain_scores_gemma":[0.99916804,0.00023927615,0.0001233864,0.0003331196,0.00004130753,0.00009485179],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013124122,0.00020494082,0.0002797034,0.00009000951,0.00009577251,0.00006752619,0.00017309585,0.000075591546,0.00009503092],"category_scores_gemma":[0.00023480468,0.00018026997,0.000072273404,0.00018205674,0.000100259116,0.00023257447,0.00014070711,0.000295975,0.00007364979],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011163091,0.00005603279,0.004320599,0.000077828045,0.0000015452317,0.000084489635,0.00013459583,0.000007865905,0.994321,0.0004991982,0.000044682693,0.00034051988],"study_design_scores_gemma":[0.00084087136,0.0009803127,0.25182348,0.000017713779,0.000022838467,0.00025380243,0.000097883145,0.0104685435,0.7346266,0.00020717642,0.00029577126,0.0003650161],"about_ca_topic_score_codex":0.00006859463,"about_ca_topic_score_gemma":0.000010415837,"teacher_disagreement_score":0.25969443,"about_ca_system_score_codex":0.000022305627,"about_ca_system_score_gemma":0.00001928554,"threshold_uncertainty_score":0.7351196},"labels":[],"label_agreement":null},{"id":"W2950541099","doi":"10.1371/journal.pcbi.1007093","title":"Learning to use past evidence in a sophisticated world model","year":2019,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Medical Research Council; Concordia University; Natural Sciences and Engineering Research Council of Canada; Gatsby Charitable Foundation; Wellcome Trust","keywords":"Exploit; Computer science; Task (project management); Artificial intelligence; Machine learning; Range (aeronautics); Cognitive psychology; Data science; Psychology; Engineering; Computer security","score_opus":0.11184573000857895,"score_gpt":0.29943740214372744,"score_spread":0.1875916721351485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950541099","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99321914,0.0000028767747,0.004561068,0.0016221809,0.000117524505,0.00021681572,0.000007209948,0.000052236126,0.00020094575],"genre_scores_gemma":[0.9957631,0.0000022121167,0.0015233605,0.0017952818,0.000020614185,0.0000145545155,0.000014499215,0.000008397902,0.0008579439],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990823,0.00011450103,0.00016567878,0.00036235707,0.00010068424,0.00017445012],"domain_scores_gemma":[0.998522,0.001275612,0.000047852922,0.000064290354,0.0000447827,0.00004547907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007004641,0.000082625804,0.00011605235,0.00021028132,0.000044965516,0.000026202551,0.00010724848,0.000031916727,0.000043438267],"category_scores_gemma":[0.000666052,0.00007672053,0.000021578182,0.00038728418,0.000032309967,0.00011583676,0.000074428244,0.0001579229,0.00037786612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000827016,0.000052419382,0.044302244,0.000007164535,0.0000019257166,0.0000040206496,0.00004854968,0.5748398,0.35913906,0.020996792,0.000041751337,0.00048362694],"study_design_scores_gemma":[0.00013629938,0.00012842308,0.010582502,0.000029468687,0.0000015921628,0.0000030265255,0.0000021061587,0.9800597,0.0006050359,0.008169705,0.00018273266,0.00009943029],"about_ca_topic_score_codex":0.0000063981856,"about_ca_topic_score_gemma":0.000008461527,"teacher_disagreement_score":0.40521994,"about_ca_system_score_codex":0.00004629922,"about_ca_system_score_gemma":0.000027713024,"threshold_uncertainty_score":0.48568308},"labels":[],"label_agreement":null},{"id":"W2950628491","doi":"10.1016/j.neuroscience.2019.06.019","title":"Distributed Encoding of Reinforcement in Rat Cortico-Striatal-Limbic Networks","year":2019,"lang":"en","type":"article","venue":"Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reinforcement; Neuroscience; Reinforcement learning; Thalamus; Striatum; Psychology; Midbrain; Artificial intelligence; Computer science; Pattern recognition (psychology); Dopamine; Central nervous system","score_opus":0.024597585377128115,"score_gpt":0.24843605737151436,"score_spread":0.22383847199438625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950628491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992466,0.000005137079,0.003968717,0.00012503423,0.0020486296,0.00037574,0.000009278872,0.00004118957,0.00096031104],"genre_scores_gemma":[0.9988087,0.00004860341,0.000010156394,0.0007132685,0.000018616303,0.0000075798475,0.0000037421637,0.000009151296,0.00038021972],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982271,0.00007190694,0.00037855344,0.00052938884,0.0004040548,0.00038898012],"domain_scores_gemma":[0.9991749,0.00019036439,0.00019219537,0.00034550583,0.000022401597,0.00007464026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021702748,0.00013495219,0.00018853683,0.000120506375,0.000075203745,0.000055415636,0.00039528526,0.000045627654,0.000034731038],"category_scores_gemma":[0.0005328776,0.00012168483,0.00005471403,0.0010631466,0.00013788066,0.0003351416,0.00015794623,0.00020033841,0.000017459957],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003705785,0.000045392753,0.012169174,0.000011769023,1.4473379e-7,0.000011011392,0.000017172952,0.05665541,0.9271101,0.003415169,0.00003794768,0.00048968854],"study_design_scores_gemma":[0.0008730244,0.00051359815,0.03175431,0.0000599581,0.000004350877,0.00002128515,0.000019792327,0.750353,0.2145258,0.00019900769,0.0013937393,0.00028213163],"about_ca_topic_score_codex":0.000016847354,"about_ca_topic_score_gemma":0.0000043847504,"teacher_disagreement_score":0.71258426,"about_ca_system_score_codex":0.000048509868,"about_ca_system_score_gemma":0.00003851992,"threshold_uncertainty_score":0.49621636},"labels":[],"label_agreement":null},{"id":"W2950721622","doi":"10.1038/s41467-018-05316-z","title":"Spontaneous cortical activity transiently organises into frequency specific phase-coupling networks","year":2018,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":400,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children","funders":"Medical Research Council; National Institute for Health and Care Research; Wellcome Trust; James S. McDonnell Foundation","keywords":"Magnetoencephalography; Default mode network; Neuroscience; Coherence (philosophical gambling strategy); Coupling (piping); Cognition; Physics; Electroencephalography; Computer science; Phase (matter); Psychology; Materials science","score_opus":0.0338301770904473,"score_gpt":0.31135745394532993,"score_spread":0.27752727685488265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950721622","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98187864,0.000557005,0.009012437,0.0032956875,0.001140673,0.00036723813,0.000022188891,0.00026705535,0.0034590953],"genre_scores_gemma":[0.9968994,0.00056766835,0.0013762942,0.0007878391,0.00023605934,0.0000141729815,0.000021956337,0.000028040551,0.00006857025],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998792,0.00013682856,0.0002122197,0.00037197492,0.00021923316,0.00026777384],"domain_scores_gemma":[0.9974997,0.000758804,0.000089996385,0.0014202958,0.00012521652,0.00010600496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016318474,0.00016311243,0.00015496137,0.00007844942,0.0010715708,0.00010297888,0.0009897796,0.00025104693,0.00010872166],"category_scores_gemma":[0.0003909075,0.00015239598,0.000074054646,0.00060597016,0.0004914619,0.00020389662,0.00016556545,0.0014076829,0.00006856487],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008108839,0.00048914214,0.00011357827,0.000003472143,0.0000067450596,0.00003907877,0.00017997081,0.000044867273,0.9661749,0.025258778,0.0006709765,0.006937411],"study_design_scores_gemma":[0.0036293606,0.0021261375,0.013415594,0.0001527868,0.00018636655,0.0021678496,0.0001984404,0.61596745,0.21794528,0.009477961,0.13264239,0.002090388],"about_ca_topic_score_codex":0.000012266531,"about_ca_topic_score_gemma":0.00039260145,"teacher_disagreement_score":0.7482296,"about_ca_system_score_codex":0.00009183419,"about_ca_system_score_gemma":0.00004085181,"threshold_uncertainty_score":0.82417643},"labels":[],"label_agreement":null},{"id":"W2950783009","doi":"10.1016/j.neulet.2017.05.051","title":"A repetitive modular oscillation underlies human brain electric activity","year":2017,"lang":"en","type":"article","venue":"Neuroscience Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Neuroscience; Modular design; Oscillation (cell signaling); Function (biology); Modular form; Brain function; Neurology; Psychology; Human brain; Physics; Computer science; Communication; Mathematics; Biology; Pure mathematics","score_opus":0.0441475573934444,"score_gpt":0.2909226997867781,"score_spread":0.2467751423933337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950783009","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.969921,8.172744e-7,0.0019952178,0.025091773,0.0009308952,0.0002541418,0.000005699937,0.0001305299,0.001669918],"genre_scores_gemma":[0.9826098,0.000006320663,0.000015993242,0.016486647,0.00011730245,0.000013639131,5.9447717e-7,0.000019936742,0.0007297552],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99770135,0.00015807763,0.00016159548,0.00093479175,0.00055846915,0.00048569427],"domain_scores_gemma":[0.9986415,0.00014649196,0.00029757107,0.0007885272,0.000023540993,0.00010238944],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00025370924,0.00020226535,0.00016050252,0.0001671919,0.0024191625,0.00069708267,0.0007404316,0.00005240311,0.000009793586],"category_scores_gemma":[0.0016929612,0.00019096943,0.00009078476,0.000290217,0.00048349006,0.0012060452,0.00017278665,0.00029349292,0.000024450475],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011466085,0.000029835377,0.0015072987,0.000004285527,3.436272e-7,0.00004045653,0.000025023874,0.00017119772,0.9943009,0.0020192915,0.00039684854,0.001493072],"study_design_scores_gemma":[0.0004145307,0.00026212478,0.4180999,0.000016034852,0.0000072673124,0.000060582264,0.000004079942,0.0277794,0.5491697,0.0018289438,0.0019319722,0.00042543045],"about_ca_topic_score_codex":0.00005994114,"about_ca_topic_score_gemma":0.000012278104,"teacher_disagreement_score":0.44513115,"about_ca_system_score_codex":0.00008073088,"about_ca_system_score_gemma":0.000024688272,"threshold_uncertainty_score":0.99887955},"labels":[],"label_agreement":null},{"id":"W2950854193","doi":"10.1137/140995738","title":"One-Dimensional Population Density Approaches to Recurrently Coupled Networks of Neurons with Noise","year":2015,"lang":"en","type":"article","venue":"SIAM Journal on Applied Mathematics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Nonlinear system; Noise (video); Quartic function; Applied mathematics; Computer science; Partial differential equation; Mathematics; Stability (learning theory); White noise; Statistical physics; Control theory (sociology); Mathematical analysis; Statistics; Physics","score_opus":0.12681826104668725,"score_gpt":0.25430107026998044,"score_spread":0.1274828092232932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950854193","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9581313,0.0000035874605,0.039647456,0.00037467218,0.0002932604,0.000423496,0.0000033520498,0.00003754288,0.0010852983],"genre_scores_gemma":[0.9875167,0.0000034914326,0.011887964,0.00039474497,0.000112513204,0.0000078082085,0.0000043304317,0.000029231953,0.00004323775],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99843115,0.000040349296,0.0003922454,0.00024216164,0.0006639137,0.00023017197],"domain_scores_gemma":[0.9988779,0.00018601173,0.00038166356,0.00023005468,0.000067599656,0.0002567725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040097669,0.00017183305,0.0002878253,0.00012520705,0.0001311572,0.000059420647,0.00016569853,0.000059635622,0.0000073968545],"category_scores_gemma":[0.00016507097,0.00013273106,0.00005318598,0.00030362772,0.00004293759,0.000076802186,0.000054446286,0.00034401825,0.000019646568],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002320592,0.0029102229,0.00032784435,0.00017496033,0.000057784524,0.00004997532,0.0009813594,0.6215231,0.13241166,0.22640976,0.000944035,0.011888757],"study_design_scores_gemma":[0.0024313482,0.0016873884,0.0028349564,0.0002898458,0.000121685494,0.00042330805,0.00016405269,0.936088,0.016133051,0.0390555,0.00011662781,0.0006542062],"about_ca_topic_score_codex":0.000001373373,"about_ca_topic_score_gemma":0.0000034132186,"teacher_disagreement_score":0.31456497,"about_ca_system_score_codex":0.000068282345,"about_ca_system_score_gemma":0.000041249423,"threshold_uncertainty_score":0.54126155},"labels":[],"label_agreement":null},{"id":"W2951043812","doi":"10.1371/journal.pcbi.1006753","title":"Experimentally-constrained biophysical models of tonic and burst firing modes in thalamocortical neurons","year":2019,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Addiction and Mental Health","funders":"Board of the Swiss Federal Institutes of Technology","keywords":"Neuroscience; Bursting; Thalamus; Tonic (physiology); Biological system; Neuron; Somatosensory system; Sensory system; Computer science; Wakefulness; Biology; Electroencephalography","score_opus":0.03500546461153735,"score_gpt":0.26683264671862794,"score_spread":0.23182718210709058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951043812","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99817187,0.000009972146,0.0007680869,0.00024329446,0.000057578414,0.00016604396,0.000015372894,0.000017954468,0.00054985686],"genre_scores_gemma":[0.9993571,0.0000038087874,0.00039318937,0.00019668254,0.000012648671,0.000008294232,0.000011153289,0.000006091479,0.000011052663],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992628,0.00006302336,0.00017651879,0.00028128605,0.00007942115,0.00013691525],"domain_scores_gemma":[0.9994438,0.00040352324,0.00004447885,0.00006177427,0.000014600197,0.00003178809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000028284732,0.00008116041,0.00014841615,0.000070606155,0.000023787132,0.000008373457,0.00007264668,0.00004090223,0.000019844269],"category_scores_gemma":[0.000036507783,0.00007226969,0.0000280069,0.00009570116,0.00016104599,0.000084706946,0.00006788311,0.0000863506,0.0000074238847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031920794,0.00009429967,0.0018137262,0.000008679388,0.0000028565423,0.0000020933278,0.000033565746,0.030088529,0.80340916,0.16414972,4.866923e-7,0.00036499146],"study_design_scores_gemma":[0.00039571582,0.00019783806,0.0059735384,0.0000102776685,0.0000023232544,0.000010827846,0.000013831967,0.90982497,0.029260889,0.054230116,0.0000010932268,0.00007856582],"about_ca_topic_score_codex":0.000005103558,"about_ca_topic_score_gemma":9.406657e-7,"teacher_disagreement_score":0.8797364,"about_ca_system_score_codex":0.00001409096,"about_ca_system_score_gemma":0.000021214055,"threshold_uncertainty_score":0.29470724},"labels":[],"label_agreement":null},{"id":"W2951168354","doi":"10.1016/j.neuroimage.2017.08.051","title":"Pattern component modeling: A flexible approach for understanding the representational structure of brain activity patterns","year":2017,"lang":"en","type":"review","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":73,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Japan Society for the Promotion of Science; Natural Sciences and Engineering Research Council of Canada; James S. McDonnell Foundation","keywords":"Computer science; Component (thermodynamics); Artificial intelligence; Voxel; Encoding (memory); Toolbox; Contrast (vision); Bayesian probability; Machine learning; Feature (linguistics); Pattern recognition (psychology)","score_opus":0.39070557892802954,"score_gpt":0.4042616949379145,"score_spread":0.013556116009884933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951168354","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013501252,0.061129533,0.92485344,0.00077950425,0.001651752,0.0052836603,0.0040889536,0.00013906558,0.0007239862],"genre_scores_gemma":[0.4196576,0.576975,0.00017798149,0.0006857698,0.0006522088,0.00020712295,0.0005110786,0.0002452999,0.0008879834],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99763453,0.0003548015,0.0004222911,0.0008428657,0.00044087623,0.00030460607],"domain_scores_gemma":[0.99737155,0.0009162369,0.00073101115,0.0008891637,0.00003465158,0.000057359663],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019975487,0.0003709892,0.0008078555,0.00012799818,0.0004773587,0.00021112544,0.00078569463,0.00014542561,0.00001468328],"category_scores_gemma":[0.00039814986,0.0002485666,0.00050856,0.00011559572,0.00012702745,0.00019107624,0.0002368428,0.0005278135,0.0000014596297],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017372558,0.0005227227,0.000038323054,0.03707446,0.00016243965,0.00004853365,0.00027430186,0.005762744,0.03561262,0.006271454,0.0020642576,0.9119944],"study_design_scores_gemma":[0.0015574164,0.00039484154,0.000060823473,0.0029117079,0.00080377574,0.0003918197,0.00007056692,0.89264286,0.00087125134,0.0076168515,0.09108294,0.0015951229],"about_ca_topic_score_codex":0.000027299684,"about_ca_topic_score_gemma":0.0000040710383,"teacher_disagreement_score":0.92467546,"about_ca_system_score_codex":0.000090007146,"about_ca_system_score_gemma":0.00008921702,"threshold_uncertainty_score":0.99999666},"labels":[],"label_agreement":null},{"id":"W2951233661","doi":"10.1101/245829","title":"Subgoal- and Goal-Related Prediction Errors in Medial Prefrontal Cortex","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Prefrontal cortex; Superordinate goals; Cognitive psychology; Psychology; Dissociation (chemistry); Context (archaeology); Coding (social sciences); Cognitive science; Neuroscience; Functional magnetic resonance imaging; Task (project management); Computer science; Cognition; Chemistry; Social psychology; Biology; Mathematics","score_opus":0.012610377015941629,"score_gpt":0.2130385278284791,"score_spread":0.20042815081253745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951233661","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99335974,0.00011400945,0.000073094074,0.00016493477,0.004648203,0.0008896996,0.0003273099,0.00038547677,0.00003751349],"genre_scores_gemma":[0.998725,0.00027062907,0.00017181541,0.00018536989,0.00041332497,0.00011320651,8.4597804e-7,0.000102261154,0.000017553495],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99656487,0.00023532029,0.00065067963,0.0015036082,0.00048074455,0.0005647775],"domain_scores_gemma":[0.99840564,0.00010355515,0.00039360454,0.00071531464,0.00012763766,0.00025427283],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00047989265,0.0005216936,0.00047584483,0.00039451374,0.0001836841,0.00018726678,0.00038951304,0.0006884102,0.00005889768],"category_scores_gemma":[0.0005444361,0.0005458676,0.00009753246,0.0005362683,0.00035089313,0.00028974397,0.00052603125,0.0010144213,0.000060449427],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000747888,0.000107296444,0.013767663,0.000098863675,0.000014638364,0.000069308495,0.000017445145,0.00003241328,0.9853839,0.00029764755,0.00013323242,0.000002751887],"study_design_scores_gemma":[0.0011324727,0.00022792755,0.80798304,0.00032935847,0.00006373419,1.8393176e-7,0.0000022174072,0.015971806,0.17276663,0.000032213873,0.0007267463,0.0007636628],"about_ca_topic_score_codex":0.00007181015,"about_ca_topic_score_gemma":0.000024491828,"teacher_disagreement_score":0.8126173,"about_ca_system_score_codex":0.00029945228,"about_ca_system_score_gemma":0.00024386818,"threshold_uncertainty_score":0.9996993},"labels":[],"label_agreement":null},{"id":"W2951271977","doi":"10.1152/jn.00778.2017","title":"Slot-like capacity and resource-like coding in a neural model of multiple-item working memory","year":2018,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Working memory; Coding (social sciences); Computer science; Fidelity; Short-term memory; Artificial neural network; Cognition; Artificial intelligence; Neuroscience; Psychology","score_opus":0.06770342037832387,"score_gpt":0.2571312063374368,"score_spread":0.18942778595911292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951271977","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99868584,0.000009059161,0.000121364035,0.00017653877,0.00073805434,0.000083782645,0.0000033697,0.000010125699,0.0001718438],"genre_scores_gemma":[0.99822325,0.00004240914,0.00015753332,0.001306707,0.00020715978,8.6581935e-7,2.0050861e-7,0.000018577217,0.00004332114],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984595,0.00028197397,0.0005275055,0.0002773373,0.00019170185,0.00026198768],"domain_scores_gemma":[0.99859,0.0006161807,0.00047522923,0.00016325763,0.0000727265,0.00008259667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011791836,0.00014931026,0.00036285966,0.00025666918,0.000095913456,0.00001808761,0.0002333737,0.00007407984,0.0000047660824],"category_scores_gemma":[0.00056848803,0.00012323604,0.00009197987,0.00024837322,0.0003436772,0.00015971335,0.00012506664,0.0004443856,0.0000013348607],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041836637,0.00005185046,0.00032148973,0.000015849988,0.000002895814,0.000045942783,0.00020618485,0.006662748,0.99004304,0.000079880374,0.000021323745,0.0021304314],"study_design_scores_gemma":[0.0011039481,0.0012057748,0.020036597,0.00006965955,0.000014110258,0.0003606537,0.000043073098,0.94932956,0.026967619,0.00052631204,0.00017870142,0.00016400864],"about_ca_topic_score_codex":0.000008749486,"about_ca_topic_score_gemma":0.0000058747146,"teacher_disagreement_score":0.9630754,"about_ca_system_score_codex":0.000024182875,"about_ca_system_score_gemma":0.000022964516,"threshold_uncertainty_score":0.50254196},"labels":[],"label_agreement":null},{"id":"W2951449196","doi":"10.1101/235416","title":"Does 10-Hz cathodal oscillating current of the parieto-occipital lobe modulate target detection?","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transcranial direct-current stimulation; Audiology; Psychology; Stimulation; Pulse (music); Brain stimulation; Electrophysiology; Neuroscience; Alpha (finance); Electroencephalography; Occipital lobe; Medicine; Physics; Developmental psychology; Optics; Detector","score_opus":0.019479968452386764,"score_gpt":0.23816956729774147,"score_spread":0.21868959884535472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951449196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9857253,0.000121777615,0.0010683521,0.00025255102,0.011319319,0.00081803644,0.00044912376,0.00022333502,0.000022211569],"genre_scores_gemma":[0.9986625,0.000092301976,0.00032113798,0.0000679061,0.00064326305,0.000079345155,1.5412782e-7,0.00009714249,0.0000362813],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9964622,0.00030659075,0.0006611349,0.001303806,0.0006847764,0.0005814764],"domain_scores_gemma":[0.9960015,0.00014098993,0.001296968,0.002051256,0.00033027618,0.00017904004],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005897707,0.0005736495,0.0005531497,0.00015616718,0.00080835586,0.00037920955,0.0012149612,0.00036962828,0.00003933647],"category_scores_gemma":[0.0016877787,0.00037466976,0.00033984726,0.00032203153,0.0003504361,0.00025787845,0.0013294105,0.0010991422,0.000026013353],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030649837,0.00008946053,0.004412031,0.0002490413,0.00001979597,0.0000079344045,0.000011027012,0.0007220975,0.99407876,0.00031462754,0.00003757918,0.000026985135],"study_design_scores_gemma":[0.0003177652,0.000054205564,0.061016377,0.000331472,0.00006855317,3.890665e-8,0.0000011888745,0.01646001,0.91676056,0.00007797044,0.0042334157,0.00067843415],"about_ca_topic_score_codex":0.00006342768,"about_ca_topic_score_gemma":0.000007968176,"teacher_disagreement_score":0.0773182,"about_ca_system_score_codex":0.00020905622,"about_ca_system_score_gemma":0.0003439289,"threshold_uncertainty_score":0.99987054},"labels":[],"label_agreement":null},{"id":"W2951481226","doi":"10.1523/eneuro.0217-16.2016","title":"Orientation Tuning Depends on Spatial Frequency in Mouse Visual Cortex","year":2016,"lang":"en","type":"article","venue":"eNeuro","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Eye Institute; Canadian Institutes of Health Research; Army Research Laboratory; Army Research Office; Multidisciplinary University Research Initiative; Advanced Research Projects Agency","keywords":"Receptive field; Visual cortex; Surround suppression; Orientation column; Stimulus (psychology); Neuroscience; Spatial frequency; Sensory system; Calcium imaging; Asymmetry; Visual perception; Physics; Psychology; Communication; Striate cortex; Optics; Chemistry; Perception; Cognitive psychology","score_opus":0.019969402706752626,"score_gpt":0.26901013774112503,"score_spread":0.2490407350343724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951481226","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99574035,6.370538e-7,0.0015737198,0.00033008715,0.0006818454,0.00009594915,0.000007945705,0.00006348303,0.0015059987],"genre_scores_gemma":[0.9978357,0.000011540012,0.00001308869,0.00091830204,0.00008314365,0.0000092098235,0.0000022715667,0.000017177494,0.0011095874],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989976,0.00009700975,0.00015307665,0.00035156956,0.0002121217,0.00018857725],"domain_scores_gemma":[0.9995085,0.0002445031,0.00005870272,0.00013002272,0.000011648261,0.000046611014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006672095,0.000097226315,0.000075274445,0.00011637949,0.00006335644,0.000025988551,0.00009619321,0.00003477752,0.00008301747],"category_scores_gemma":[0.0004788565,0.00007088389,0.000027267215,0.00015833403,0.000029044855,0.0001751902,0.000026832555,0.00009541125,0.00011643812],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038109934,0.00004763885,0.0035422223,0.000001443491,2.8418984e-7,0.00004677949,0.00002108477,0.000020172058,0.9754288,0.0019318764,0.000018949064,0.018902637],"study_design_scores_gemma":[0.0011556041,0.00069123995,0.06842555,0.000023363536,0.000002639437,0.000018001652,0.0000073079573,0.0044595595,0.92300767,0.0014656329,0.00049631845,0.0002470877],"about_ca_topic_score_codex":0.000058006317,"about_ca_topic_score_gemma":0.00008242213,"teacher_disagreement_score":0.06488333,"about_ca_system_score_codex":0.000045285266,"about_ca_system_score_gemma":0.000015502894,"threshold_uncertainty_score":0.28905612},"labels":[],"label_agreement":null},{"id":"W2951522238","doi":"10.1371/journal.pcbi.1005806","title":"Initial-state-dependent, robust, transient neural dynamics encode conscious visual perception","year":2017,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; National Institutes of Health; York University; Leon Levy Foundation; NYU Langone Medical Center; Esther A. and Joseph Klingenstein Fund","keywords":"Magnetoencephalography; Stimulus (psychology); Perception; Brain activity and meditation; Neuroscience; Visual perception; Psychology; Neural activity; Photic Stimulation; Electroencephalography; Cognitive psychology","score_opus":0.05092784791401434,"score_gpt":0.31159583114503364,"score_spread":0.2606679832310193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951522238","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96912384,0.000003883178,0.026366662,0.0017603387,0.0009775814,0.0002718446,0.00020346102,0.00011830851,0.0011740781],"genre_scores_gemma":[0.997869,0.000011464092,0.00040251596,0.0011773255,0.00013909255,0.000019035315,0.00018174159,0.000021100514,0.0001787035],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99840444,0.00018975681,0.0002999518,0.00055725256,0.000227378,0.00032124433],"domain_scores_gemma":[0.99904495,0.00033425016,0.0002214581,0.00020275566,0.00010108953,0.00009546927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010854899,0.0001939732,0.00020790948,0.00011594107,0.0007346807,0.00015381942,0.00034445454,0.000104582876,0.000086578526],"category_scores_gemma":[0.00028248606,0.00018015184,0.00008593704,0.000060156784,0.0003931988,0.00024469302,0.000106586,0.00024140553,0.00011675492],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006937025,0.0012226262,0.015240412,0.000073313626,0.000076526034,0.00022917714,0.0005448071,0.27899474,0.60754335,0.02916157,0.00033949013,0.06588026],"study_design_scores_gemma":[0.0006716063,0.00033006025,0.018753478,0.0000075330368,0.000013731101,0.000093254996,0.000019433057,0.96857303,0.0010781504,0.010177567,0.0000495541,0.00023260347],"about_ca_topic_score_codex":0.000045109697,"about_ca_topic_score_gemma":0.00010275503,"teacher_disagreement_score":0.6895783,"about_ca_system_score_codex":0.00009784771,"about_ca_system_score_gemma":0.00005374786,"threshold_uncertainty_score":0.7346379},"labels":[],"label_agreement":null},{"id":"W2951794946","doi":"10.1101/671248","title":"Neocortical inhibitory interneuron subtypes display distinct responses to synchrony and rate of inputs","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Mila - Quebec Artificial Intelligence Institute; Vector Institute; The Scarborough Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Interneuron; Neocortex; Neuroscience; Optogenetics; Inhibitory postsynaptic potential; Biology; Excitatory postsynaptic potential; Barrel cortex; Parvalbumin; Stimulation","score_opus":0.016231230998380492,"score_gpt":0.23489024627681718,"score_spread":0.21865901527843667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951794946","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954004,0.000071599454,0.0008089508,0.0004340506,0.0020810303,0.0007887305,0.0002489315,0.00015668647,0.000009610379],"genre_scores_gemma":[0.99870235,0.000069023445,0.00014450053,0.00068614044,0.00020944473,0.000061961466,1.6488222e-7,0.00009369598,0.000032713593],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9969909,0.0003964474,0.000561947,0.0012882175,0.00031780946,0.00044467277],"domain_scores_gemma":[0.99775076,0.0005210535,0.00035246587,0.00094128045,0.00015934935,0.0002750831],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00046007746,0.0004795323,0.00056311366,0.00030993548,0.000096568,0.00018190514,0.00044884646,0.0002918671,0.000016614606],"category_scores_gemma":[0.0019481947,0.00045874502,0.00011397748,0.00035759277,0.00023615282,0.0001572346,0.0010657185,0.0006510118,0.00006528136],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030681593,0.00008622552,0.014489858,0.0003468047,0.000013634629,0.000060563198,0.000007645285,0.00004514907,0.98376536,0.0007613946,0.00011158056,0.000004976208],"study_design_scores_gemma":[0.00028062714,0.00027076862,0.30832344,0.0004265887,0.000048664402,8.139493e-8,4.7238655e-7,0.0019559732,0.6869299,0.000005138053,0.00123429,0.00052404834],"about_ca_topic_score_codex":0.00003408933,"about_ca_topic_score_gemma":0.0000039710444,"teacher_disagreement_score":0.29683545,"about_ca_system_score_codex":0.00012092981,"about_ca_system_score_gemma":0.00024499543,"threshold_uncertainty_score":0.99978644},"labels":[],"label_agreement":null},{"id":"W2951880406","doi":"10.1016/j.bpsc.2019.06.003","title":"Predictive Sensing: The Role of Motor Signals in Sensory Processing","year":2019,"lang":"en","type":"review","venue":"Biological Psychiatry Cognitive Neuroscience and Neuroimaging","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":118,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Institute on Deafness and Other Communication Disorders; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Sensory system; Sensory processing; Perception; Flexibility (engineering); Neuroscience; Somatosensory system; Vestibular system; Psychology; Motor control; Motor system; Computer science","score_opus":0.10901299189881872,"score_gpt":0.34014884415094143,"score_spread":0.23113585225212271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951880406","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025479477,0.96829677,0.000112886766,0.00023073477,0.0016909218,0.0025082233,0.00024178509,0.00010802663,0.001331161],"genre_scores_gemma":[0.15807931,0.8399412,0.000015025208,0.0017092186,0.00013636178,0.000023232116,0.00000449474,0.0000393317,0.00005182764],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9958338,0.0009706206,0.00071868714,0.0015469096,0.00036658905,0.00056339224],"domain_scores_gemma":[0.99745923,0.0014654679,0.0006588694,0.00025255658,0.00006359688,0.00010030481],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00039280887,0.0005291445,0.0010369387,0.00031114754,0.00030119362,0.00014336257,0.00047060562,0.00018105426,0.0000036452616],"category_scores_gemma":[0.0013048257,0.00031305398,0.00027812782,0.0010519692,0.0010829718,0.00025425098,0.0003267887,0.0009555928,0.000008564123],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000078732744,0.00014719162,0.0006638234,0.001182765,0.000002828249,0.000031878382,0.000045554672,0.000004076295,0.033204086,0.00018677341,0.0000047070525,0.96444756],"study_design_scores_gemma":[0.004983337,0.012323322,0.026873786,0.072934814,0.0023405831,0.006209478,0.002865607,0.12625222,0.005747938,0.020656187,0.7089849,0.009827818],"about_ca_topic_score_codex":0.0000047283443,"about_ca_topic_score_gemma":8.0451065e-7,"teacher_disagreement_score":0.95461977,"about_ca_system_score_codex":0.000020687929,"about_ca_system_score_gemma":0.00022247461,"threshold_uncertainty_score":0.99993217},"labels":[],"label_agreement":null},{"id":"W2952009615","doi":"10.1007/s00429-018-1806-y","title":"Asymmetric effective connectivity between primate anterior cingulate and lateral prefrontal cortex revealed by electrical microstimulation","year":2018,"lang":"en","type":"article","venue":"Brain Structure and Function","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Microstimulation; Primate; Anterior cingulate cortex; Prefrontal cortex; Psychology; Inhibitory postsynaptic potential; Stimulation; Biology; Cognition","score_opus":0.006301562743630268,"score_gpt":0.24020692597226337,"score_spread":0.2339053632286331,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952009615","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99614835,0.00008831091,0.0023242475,0.00015054323,0.0004458735,0.0005624074,0.00008871354,0.00008622029,0.00010536054],"genre_scores_gemma":[0.9987255,0.000015830354,0.000047838806,0.0006625301,0.00031737576,0.0000069198354,0.00003918601,0.000021438556,0.00016339772],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985401,0.00018241438,0.00021244421,0.000618857,0.00016870708,0.00027744516],"domain_scores_gemma":[0.9992047,0.00037989454,0.00014491443,0.00012422835,0.00004903882,0.00009725724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014898829,0.00022203346,0.00025603705,0.0001585581,0.00040710246,0.00012901083,0.000050357674,0.00016185446,0.000016112588],"category_scores_gemma":[0.00029025186,0.00018816575,0.000038126578,0.00038879193,0.00016327672,0.00031571955,0.000056932782,0.00021107984,0.0000038164735],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003839606,0.0000117747095,0.029509077,0.000019329203,0.000012965154,0.0000019227834,0.00006304172,8.280557e-7,0.88381106,0.000086910055,0.00029201905,0.08580712],"study_design_scores_gemma":[0.0011338403,0.0012405153,0.94266427,0.000017822147,0.000044989207,0.00006774473,0.000002091747,0.0046023475,0.04701465,0.0021174224,0.000853793,0.00024054517],"about_ca_topic_score_codex":0.000038665454,"about_ca_topic_score_gemma":0.000012118157,"teacher_disagreement_score":0.91315514,"about_ca_system_score_codex":0.000056496483,"about_ca_system_score_gemma":0.000010497306,"threshold_uncertainty_score":0.7673177},"labels":[],"label_agreement":null},{"id":"W2952088267","doi":"10.1101/470492","title":"Modular organization of the murine locomotor pattern in presence and absence of sensory feedback from muscle spindles","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Dalhousie University; Natural Sciences and Engineering Research Council of Canada; Dalhousie Medical Research Foundation","keywords":"Sensory system; Muscle spindle; Proprioception; Biology; Neuroscience; Modular design; Movement (music); Motor system; Anatomy; Computer science; Communication; Afferent; Psychology; Physics","score_opus":0.014977441380418482,"score_gpt":0.2044592226443661,"score_spread":0.18948178126394763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952088267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976265,0.000051638002,0.00056586106,0.00011201645,0.000747452,0.00056229555,0.0002886685,0.000043867876,0.0000017119311],"genre_scores_gemma":[0.9993332,0.00014752938,0.00024106503,0.0000964272,0.000114934286,0.000013746145,1.7132885e-7,0.000049668248,0.0000032852342],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980299,0.00018702004,0.0004611795,0.00074487925,0.0003537775,0.00022324342],"domain_scores_gemma":[0.9980842,0.00012537633,0.0005456239,0.0009118924,0.0002661989,0.00006674875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020411696,0.00026997563,0.00034294667,0.00012505977,0.00007116997,0.00005311752,0.0005241191,0.00022099371,0.00002674308],"category_scores_gemma":[0.0007414896,0.00023377189,0.00005219763,0.0005358043,0.00032240304,0.0001299758,0.0007355322,0.00033629997,0.000005115913],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006581004,0.00007365418,0.06445251,0.00018121066,0.000005963636,0.000005422983,0.000016925645,0.00016650531,0.9350334,0.000044732165,0.000006508956,0.000006583599],"study_design_scores_gemma":[0.00014176521,0.000017281522,0.4794958,0.0002649126,0.0000085594675,7.947301e-9,0.0000012251136,0.0035905726,0.5163229,0.0000058378464,0.000017956309,0.000133163],"about_ca_topic_score_codex":0.00034513237,"about_ca_topic_score_gemma":0.000015182823,"teacher_disagreement_score":0.41871047,"about_ca_system_score_codex":0.000058183887,"about_ca_system_score_gemma":0.00011678494,"threshold_uncertainty_score":0.9532941},"labels":[],"label_agreement":null},{"id":"W2952193699","doi":"10.1038/s41598-019-40335-w","title":"Altering brain dynamics with transcranial random noise stimulation","year":2019,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Centre of Excellence for Integrative Brain Function, Australian Research Council; Australian Research Council; Department of Education and Training; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Binocular rivalry; Percept; Attractor; Visual cortex; Random noise; Gaussian noise; Statistical physics; Noise (video); Stochastic resonance; Computer science; Physics; Neuroscience; Mathematics; Perception; Visual perception; Psychology; Artificial intelligence; Mathematical analysis","score_opus":0.01157620340053284,"score_gpt":0.22846637890136953,"score_spread":0.2168901755008367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952193699","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98453313,0.000002651202,0.0059162993,0.00036550683,0.0065468997,0.0005709657,0.000004704259,0.00010445912,0.001955391],"genre_scores_gemma":[0.9933543,5.03115e-7,0.00011768153,0.0001478738,0.000046986985,0.000009026525,0.000037908805,0.000020860236,0.0062648263],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979377,0.000058035268,0.00031590424,0.00084832654,0.0005599331,0.0002801286],"domain_scores_gemma":[0.99902886,0.000112819405,0.00018581518,0.000532809,0.000055653243,0.00008402883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006132127,0.00014314156,0.00016399405,0.00013856328,0.00025999564,0.00034377212,0.00010815865,0.00004463498,0.00017282441],"category_scores_gemma":[0.00013491428,0.00011219987,0.000072608476,0.0004949716,0.00012223393,0.00039831118,0.000026642754,0.000118275864,0.000055491622],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012116667,0.00004438285,0.004033874,0.000022187296,0.0000025032373,0.00018522373,0.0001023621,0.012808352,0.979505,0.00042452736,0.00020871172,0.0025417162],"study_design_scores_gemma":[0.0032541654,0.00040899264,0.005211884,0.00011375356,0.0000349136,0.0013414545,0.00007221268,0.82628566,0.14434324,0.0075779264,0.010570299,0.0007854881],"about_ca_topic_score_codex":0.000021197071,"about_ca_topic_score_gemma":0.000059542985,"teacher_disagreement_score":0.83516175,"about_ca_system_score_codex":0.000060244325,"about_ca_system_score_gemma":0.000057446403,"threshold_uncertainty_score":0.4575378},"labels":[],"label_agreement":null},{"id":"W2952199784","doi":"10.1038/s41467-018-04638-2","title":"An ensemble code in medial prefrontal cortex links prior events to outcomes during learning","year":2018,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Medical Research Council","keywords":"Prefrontal cortex; Reinforcement learning; Recall; Encoding (memory); Task (project management); Computer science; Interference theory; Neuroscience; Cognitive psychology; Working memory; Psychology; Artificial intelligence; Cognition","score_opus":0.027555751869944994,"score_gpt":0.3306781621712532,"score_spread":0.30312241030130815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952199784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995233,0.000027793527,0.000049953487,0.0026861213,0.0004393913,0.0002967591,0.000013846922,0.0001019352,0.0011511954],"genre_scores_gemma":[0.9971398,0.000039144783,0.0009879519,0.0012523632,0.00007407745,0.000033160733,0.000021205038,0.00001951597,0.0004327685],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99884504,0.0002297163,0.00021098861,0.00029276664,0.00020277352,0.00021874151],"domain_scores_gemma":[0.998587,0.00023639273,0.00007784118,0.0009435621,0.000059189675,0.00009599539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016676252,0.00011402831,0.00013319304,0.00014197138,0.00049396686,0.0000411442,0.0009224978,0.00023923408,0.000017119486],"category_scores_gemma":[0.00076225534,0.00010708363,0.00003857568,0.0003480748,0.00007715709,0.00020827416,0.00033053063,0.001386476,0.00006528865],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000432374,0.00017421505,0.059154835,0.000003259574,0.0000026254838,0.0000019396127,0.0007087372,0.000042870488,0.9366721,0.0013459045,0.00005884832,0.0017914153],"study_design_scores_gemma":[0.000512649,0.00018012692,0.9656438,0.000028782137,0.000007031789,0.000009887485,0.000070841794,0.0065757036,0.020101413,0.00024314476,0.006418254,0.0002083192],"about_ca_topic_score_codex":0.00002726252,"about_ca_topic_score_gemma":0.004777691,"teacher_disagreement_score":0.9165707,"about_ca_system_score_codex":0.00009420149,"about_ca_system_score_gemma":0.000035187797,"threshold_uncertainty_score":0.6023626},"labels":[],"label_agreement":null},{"id":"W2952300710","doi":"10.1371/journal.pone.0199196","title":"Neural network models of the tactile system develop first-order units with spatially complex receptive fields","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Actua; Vector Institute; Western University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Receptive field; Computer science; Artificial neural network; Noise (video); Complex system; Artificial intelligence; Biological system; Neuroscience; Pattern recognition (psychology); Biology","score_opus":0.09757691556574048,"score_gpt":0.22110314201366216,"score_spread":0.12352622644792167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952300710","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911757,0.0000030589895,0.0019149072,0.0007243972,0.00022516814,0.00041885697,0.00001860431,0.00006562517,0.0054536443],"genre_scores_gemma":[0.9978691,0.0000043341543,0.0007780326,0.0006074673,0.00017852147,0.00001569985,0.0000029876644,0.000017771043,0.00052609906],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99890757,0.000104262275,0.00017906372,0.00024818943,0.00034181177,0.00021913013],"domain_scores_gemma":[0.9989897,0.0001685761,0.00015592344,0.00027540684,0.00036991847,0.000040464998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007129738,0.000120133045,0.00017531656,0.000023591994,0.00027876583,0.00002670765,0.0002513266,0.000053188764,0.000044486165],"category_scores_gemma":[0.0001397777,0.00007711475,0.000018243234,0.00079522136,0.00014780251,0.00012875417,0.0001046094,0.0001493995,0.000011499048],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034340788,0.0029767272,0.01912251,0.001556725,0.0005811511,0.00005458207,0.0068228436,0.23838621,0.64854354,0.062945396,0.011228973,0.004347272],"study_design_scores_gemma":[0.00047517035,0.0007256209,0.0037046003,0.0004001383,0.00006702618,0.000012637721,0.00006635828,0.938574,0.055147614,0.0003992739,0.00017718338,0.00025036436],"about_ca_topic_score_codex":0.00008612825,"about_ca_topic_score_gemma":0.00047994422,"teacher_disagreement_score":0.7001878,"about_ca_system_score_codex":0.000030030515,"about_ca_system_score_gemma":0.000057094156,"threshold_uncertainty_score":0.31446484},"labels":[],"label_agreement":null},{"id":"W2952300818","doi":"10.48550/arxiv.1608.02027","title":"Inferring brain-computational mechanisms with models of activity measurements","year":2016,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Artificial intelligence; Leverage (statistics); Voxel; Brain activity and meditation; Pattern recognition (psychology); Inference; Probabilistic logic; Generative model; Machine learning; Set (abstract data type); Data set; Convolutional neural network; Bayesian inference; Bayesian probability; Electroencephalography; Generative grammar; Psychology; Neuroscience","score_opus":0.16135708944502228,"score_gpt":0.20404220916884938,"score_spread":0.0426851197238271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952300818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5146672,6.812396e-7,0.48293075,0.00007131121,0.00015982943,0.00018246089,0.00003330183,0.000049869017,0.0019046207],"genre_scores_gemma":[0.9990189,0.00000601169,0.00023791839,0.00010983435,0.000020152926,9.1796494e-7,0.0000039845686,0.000022632938,0.000579656],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851084,0.00013359275,0.00013155061,0.00078986736,0.00020888068,0.00022525065],"domain_scores_gemma":[0.9989055,0.00018646843,0.00031582132,0.00037138024,0.0001329166,0.000087923254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015296407,0.0002370885,0.00025185954,0.00019375341,0.00011184231,0.000027259803,0.0003802685,0.00013917095,0.000023507835],"category_scores_gemma":[0.00005595396,0.00020826056,0.00011545136,0.00023159858,0.000107075066,0.00033132482,0.00042729077,0.00026699321,0.0000093912695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020681665,0.000097289245,0.00029394054,0.00006166542,0.00003521685,0.000039025785,0.000027216523,0.7641242,0.06741903,0.1673932,0.0000148497065,0.00028753973],"study_design_scores_gemma":[0.00068569137,0.00011504942,0.0005848574,0.00014507695,0.000041222454,0.0000047771214,0.0000058868004,0.49585313,0.026417637,0.4758301,0.0000053653225,0.00031120292],"about_ca_topic_score_codex":0.00003575641,"about_ca_topic_score_gemma":0.000016325706,"teacher_disagreement_score":0.4843517,"about_ca_system_score_codex":0.0001575117,"about_ca_system_score_gemma":0.00014167397,"threshold_uncertainty_score":0.84926194},"labels":[],"label_agreement":null},{"id":"W2952498848","doi":"10.1038/s41598-018-24215-3","title":"Entrainment of theta, not alpha, oscillations is predictive of the brightness enhancement of a flickering stimulus","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta","funders":"Alberta Gambling Research Institute, University of Calgary","keywords":"Flicker; Stimulus (psychology); Brightness; Entrainment (biomusicology); Physics; Alpha rhythm; Psychology; Rhythm; Electroencephalography; Audiology; Perception; Visual perception; Neuroscience; Communication; Optics; Cognitive psychology; Computer science; Medicine; Acoustics","score_opus":0.022606609440071927,"score_gpt":0.2564754270137366,"score_spread":0.23386881757366468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952498848","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99123865,0.000006737816,0.0012698331,0.00016894442,0.0047873817,0.00040793623,0.000026045762,0.000009978118,0.0020844606],"genre_scores_gemma":[0.9982689,0.0000022625945,0.00005332086,0.00004855621,0.000028547724,0.000008667539,0.0000016470331,0.0000063275497,0.0015817406],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979357,0.00005566724,0.0005657916,0.00047016828,0.00079771783,0.00017494467],"domain_scores_gemma":[0.9982781,0.000065901746,0.00068765145,0.00070769794,0.00022104714,0.00003964116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006067747,0.00009430592,0.00016212132,0.00008518783,0.00022226722,0.000025951951,0.00018652488,0.00002934246,0.00016947491],"category_scores_gemma":[0.00020492089,0.00006325821,0.00011088171,0.0005421776,0.0009180094,0.00010781501,0.00014641316,0.00005166823,0.0000024566932],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015958587,0.000093777315,0.0007839058,0.000019137467,0.000007683059,0.0000023901393,0.0010019767,0.00008973053,0.9968365,0.00031383737,0.00031626137,0.00051885657],"study_design_scores_gemma":[0.00008757211,0.00009853778,0.0034093221,0.000048846498,0.000018012957,0.000015594806,0.00003732832,0.00542521,0.98747015,0.0021174927,0.0012140848,0.000057828154],"about_ca_topic_score_codex":0.000025459081,"about_ca_topic_score_gemma":0.000008499838,"teacher_disagreement_score":0.009366316,"about_ca_system_score_codex":0.00003482084,"about_ca_system_score_gemma":0.00009358019,"threshold_uncertainty_score":0.33824438},"labels":[],"label_agreement":null},{"id":"W2952583696","doi":"10.3390/e20070489","title":"A Moment-Based Maximum Entropy Model for Fitting Higher-Order Interactions in Neural Data","year":2018,"lang":"en","type":"article","venue":"Entropy","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Advanced Research; National Science Foundation","keywords":"Statistical physics; Principle of maximum entropy; Moment (physics); Entropy (arrow of time); Mathematics; Artificial neural network; Computer science; Physics; Artificial intelligence; Statistics; Thermodynamics; Classical mechanics","score_opus":0.09253274822693931,"score_gpt":0.33030304972194907,"score_spread":0.23777030149500977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952583696","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7376333,0.000015144606,0.24636813,0.010574644,0.0033357884,0.00099035,0.00038697742,0.00021350365,0.00048217922],"genre_scores_gemma":[0.992142,0.000002624151,0.003306228,0.0024154242,0.00034922335,0.00007768754,0.000072278126,0.00002863244,0.0016059047],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985118,0.00006135391,0.00026361173,0.00058567757,0.00018584791,0.00039170546],"domain_scores_gemma":[0.9990326,0.00021349874,0.00010856297,0.0005268328,0.000049144634,0.000069318834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012300789,0.00015512352,0.00014144715,0.00012456044,0.00019252463,0.0000957896,0.00040588088,0.000032157986,0.00017799195],"category_scores_gemma":[0.00027725642,0.00014221545,0.00004933109,0.00027623647,0.000081532235,0.00038968655,0.00015171118,0.00016840662,0.000046465044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062511145,0.0004797502,0.0011726562,0.00003721243,0.000009875006,0.000017145623,0.00015260988,0.012587079,0.94764674,0.017239714,0.011738045,0.00829406],"study_design_scores_gemma":[0.0009882165,0.00010489439,0.00018710241,0.00001361154,0.000008974561,0.0000027443014,0.000008280368,0.9757308,0.009612538,0.0015924263,0.011604322,0.0001461133],"about_ca_topic_score_codex":0.00003059385,"about_ca_topic_score_gemma":0.000059053993,"teacher_disagreement_score":0.9631437,"about_ca_system_score_codex":0.00007736051,"about_ca_system_score_gemma":0.000039680894,"threshold_uncertainty_score":0.57993776},"labels":[],"label_agreement":null},{"id":"W2952741033","doi":"10.1038/s41467-018-05123-6","title":"Attentional fluctuations induce shared variability in macaque primary visual cortex","year":2018,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"National Eye Institute; Intelligence Advanced Research Projects Activity; U.S. Department of Health and Human Services; National Institutes of Health; Interior Business Center; Deutsche Forschungsgemeinschaft","keywords":"Macaque; Visual cortex; Stimulus (psychology); Neuroscience; Attentional control; Population; Correlation; Psychology; Cognitive psychology; Cognition; Mathematics; Medicine","score_opus":0.032682684533397545,"score_gpt":0.3255482529923488,"score_spread":0.29286556845895123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952741033","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94480294,0.00007582186,0.0010843386,0.013695992,0.0010329658,0.0008165681,0.00020361919,0.00021970076,0.03806805],"genre_scores_gemma":[0.9950044,0.00004550021,0.0015063497,0.0027485916,0.00009294165,0.00006275568,0.00021823373,0.0000135250275,0.0003076654],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99849045,0.0004400474,0.00028157534,0.00035612445,0.00024234602,0.00018944826],"domain_scores_gemma":[0.997702,0.0009140169,0.00010148,0.0010622331,0.00016266276,0.000057576603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003714507,0.00011748874,0.00012005345,0.0001494789,0.0004521514,0.000063323816,0.0008315617,0.00022456025,0.00016147387],"category_scores_gemma":[0.0015662191,0.00011743574,0.000057071746,0.00081961916,0.00032192445,0.00029183162,0.00039665788,0.0009725269,0.00009919389],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003868019,0.000820242,0.008581165,0.000011183123,0.000007642608,0.0000018375886,0.00018322362,0.000005973745,0.8283538,0.15223588,0.0025343217,0.007226051],"study_design_scores_gemma":[0.00058425544,0.00009531714,0.931015,0.00003460629,0.000016874497,0.000026727723,0.00003045653,0.029983336,0.0045625432,0.011315109,0.022001432,0.0003343338],"about_ca_topic_score_codex":0.000019524994,"about_ca_topic_score_gemma":0.00038533853,"teacher_disagreement_score":0.92243385,"about_ca_system_score_codex":0.00015317998,"about_ca_system_score_gemma":0.000117988195,"threshold_uncertainty_score":0.47888902},"labels":[],"label_agreement":null},{"id":"W2952749681","doi":"10.1101/252205","title":"A compact head-mounted endoscope for in vivo calcium imaging in freely-behaving mice","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research; Hospital for Sick Children; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of California, San Francisco; Canadian Institutes of Health Research; Hospital for Sick Children","keywords":"Calcium imaging; Computer science; Neuroscience; Microscope; Calcium; Biomedical engineering; Artificial intelligence; Biology; Materials science; Physics; Optics; Engineering","score_opus":0.03139871534035694,"score_gpt":0.28821094920111345,"score_spread":0.2568122338607565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952749681","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99308836,0.000121924575,0.0013244551,0.00041516096,0.0025518998,0.0016903857,0.00051132066,0.00027100585,0.000025472673],"genre_scores_gemma":[0.9975867,0.000035911784,0.00087112247,0.000721945,0.00037928595,0.00023474668,4.0862955e-7,0.00015848555,0.000011375158],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9959138,0.00025441515,0.00080704753,0.001669548,0.00038112872,0.0009740332],"domain_scores_gemma":[0.9978606,0.00033274098,0.00045541037,0.0009331328,0.00020937962,0.00020875424],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007736248,0.0006505769,0.000702738,0.000757851,0.00017755303,0.00035474787,0.000783863,0.00033876006,0.000037942464],"category_scores_gemma":[0.0009338384,0.00072156434,0.00018060335,0.0008626233,0.000183288,0.00033665213,0.00041522615,0.0009305264,0.000026441407],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011241695,0.00018742164,0.023248808,0.00021089021,0.000005258976,0.00008360935,0.00001042394,0.00014626652,0.97542197,0.00018806446,0.0003830682,0.0000018217592],"study_design_scores_gemma":[0.0015319424,0.000092147515,0.072882704,0.0009096158,0.000031176267,8.857356e-8,0.0000035374921,0.03491264,0.8862071,0.000009140137,0.0024924886,0.00092740916],"about_ca_topic_score_codex":0.0006655727,"about_ca_topic_score_gemma":0.00010797463,"teacher_disagreement_score":0.08921484,"about_ca_system_score_codex":0.00075822335,"about_ca_system_score_gemma":0.0003927978,"threshold_uncertainty_score":0.9995235},"labels":[],"label_agreement":null},{"id":"W2952801301","doi":"10.48550/arxiv.0902.3654","title":"Modeling thalamocortical cell: impact of Ca2+ channel distribution and cell geometry on firing pattern","year":2009,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Soma; Geometry; Tonic (physiology); Amplitude; Bursting; Electrophysiology; Biophysics; Calcium channel; Conductance; Physics; Chemistry; Calcium; Neuroscience; Mathematics; Optics; Biology","score_opus":0.04973166359342891,"score_gpt":0.27657868268598407,"score_spread":0.22684701909255517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952801301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99103624,0.00005278364,0.007730641,0.000103435465,0.00037583153,0.00029750503,0.00017710877,0.00006053681,0.00016593287],"genre_scores_gemma":[0.9993606,0.00019657808,0.0000058885753,0.00012883553,0.00013495574,0.000009800805,0.00008379135,0.000028578641,0.00005093457],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981508,0.000079982994,0.00037198004,0.0007418978,0.00028564164,0.0003696944],"domain_scores_gemma":[0.99910414,0.00011011219,0.0001937672,0.00041373438,0.00004736561,0.00013085842],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015629167,0.00032087098,0.00034009787,0.000119052645,0.00011236409,0.000056215424,0.00021979371,0.00024319401,0.000013019761],"category_scores_gemma":[0.00012534567,0.00027738285,0.00021066573,0.00015748158,0.000052275904,0.00008980514,0.00032177995,0.0007138626,0.00001540187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019500297,0.00080195576,0.14226273,0.00062096736,0.000022966142,0.00009320718,0.00017347079,0.32178035,0.52637625,0.000050321956,0.000088336434,0.0075344536],"study_design_scores_gemma":[0.00041749698,0.00045963243,0.14545204,0.0001923509,0.00004373583,0.000009755495,0.000009185927,0.7496139,0.102563694,0.0008031989,0.0000027419849,0.00043229703],"about_ca_topic_score_codex":0.00015097858,"about_ca_topic_score_gemma":0.0000033958115,"teacher_disagreement_score":0.4278335,"about_ca_system_score_codex":0.00012448565,"about_ca_system_score_gemma":0.0000429352,"threshold_uncertainty_score":0.9999678},"labels":[],"label_agreement":null},{"id":"W2952820172","doi":"10.1523/jneurosci.1222-17.2017","title":"Hebbian Learning in a Random Network Captures Selectivity Properties of the Prefrontal Cortex","year":2017,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Columbia College","funders":"National Institute of Neurological Disorders and Stroke; Kavli Foundation; National Institute of Mental Health; National Institutes of Health; Gatsby Charitable Foundation; Simons Foundation","keywords":"Hebbian theory; Context (archaeology); Computer science; Prefrontal cortex; Artificial neural network; Artificial intelligence; Unsupervised learning; Machine learning; Neuroscience; Cognition; Psychology","score_opus":0.03604662509651886,"score_gpt":0.2504146783637924,"score_spread":0.21436805326727354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952820172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973046,0.00003052635,0.000072395225,0.0006984571,0.0014346881,0.00013535206,6.6726824e-7,0.000005482404,0.00031778956],"genre_scores_gemma":[0.9992031,0.00003825001,0.000011394914,0.00031667517,0.000093318966,0.0000012142983,6.893747e-9,0.0000066856446,0.0003293663],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985361,0.00025807758,0.00031345352,0.00019892954,0.00046172974,0.0002317238],"domain_scores_gemma":[0.99874216,0.00008856098,0.0008350676,0.00022829037,0.000055830587,0.000050096398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056758116,0.00009672398,0.0002069149,0.00005608508,0.0005744418,0.00015046063,0.0008092053,0.00003085274,0.0000013596856],"category_scores_gemma":[0.0032709122,0.000055907418,0.00010611421,0.00020834152,0.00042520638,0.0005603809,0.00016791208,0.00049269764,3.513822e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015252925,0.00004500542,0.014963762,0.000006971286,4.402683e-7,0.000019740894,0.00009482503,0.004527056,0.97943634,0.00005814404,0.000025423951,0.0006697416],"study_design_scores_gemma":[0.0008317586,0.00031914498,0.8836157,0.00013886292,0.000006914526,0.00031000833,0.000017427026,0.017992811,0.09590686,0.0002471881,0.0005154894,0.000097873235],"about_ca_topic_score_codex":0.00003925085,"about_ca_topic_score_gemma":0.00008404805,"teacher_disagreement_score":0.8835295,"about_ca_system_score_codex":0.000029568118,"about_ca_system_score_gemma":0.00013904419,"threshold_uncertainty_score":0.44182003},"labels":[],"label_agreement":null},{"id":"W2953006214","doi":"10.1016/j.bbr.2018.10.024","title":"Dynamics of spontaneous alpha activity correlate with language ability in young children","year":2018,"lang":"en","type":"article","venue":"Behavioural Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Alpha (finance); Oscillation (cell signaling); Psychology; Electroencephalography; Flexibility (engineering); Alpha rhythm; Audiology; Amplitude; Physics; Developmental psychology; Neuroscience; Mathematics; Chemistry; Statistics; Medicine; Optics; Psychometrics","score_opus":0.04559730325419007,"score_gpt":0.3420380077677863,"score_spread":0.2964407045135962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953006214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971417,0.0000036887711,0.000036274425,0.0010190179,0.00011442124,0.0006314573,0.00008371286,0.000044649056,0.00092508737],"genre_scores_gemma":[0.9986845,0.0000034487998,0.00004262455,0.000042475556,0.00003814924,0.00001896905,0.000015608824,0.000025997038,0.0011282279],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9972124,0.00057520554,0.00022854478,0.00059063407,0.0008041346,0.0005890801],"domain_scores_gemma":[0.99857146,0.0006044963,0.00008141604,0.00049140735,0.00013875603,0.00011246035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011412001,0.00015986466,0.00021844046,0.00026946238,0.00019025884,0.000055829874,0.0004010922,0.00011149004,0.000116577365],"category_scores_gemma":[0.00079482544,0.0001288755,0.00005425181,0.0009344407,0.0007981741,0.00020279994,0.00019740875,0.00071064354,0.000030414574],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001045762,0.00048687123,0.41303396,0.00001920404,0.00000471396,0.00055974553,0.0006070941,0.000016396234,0.5714313,0.0009360743,0.00007137015,0.011787537],"study_design_scores_gemma":[0.00062154204,0.00094298524,0.96462685,0.00003463538,0.000004283793,0.0005570886,0.000098227945,0.009332457,0.02344708,0.00016185785,0.0000017295221,0.000171273],"about_ca_topic_score_codex":0.005170077,"about_ca_topic_score_gemma":0.013863737,"teacher_disagreement_score":0.5515929,"about_ca_system_score_codex":0.0002577649,"about_ca_system_score_gemma":0.000086329375,"threshold_uncertainty_score":0.7815644},"labels":[],"label_agreement":null},{"id":"W2953022827","doi":"10.1101/191577","title":"Stochastic Resonance Mediates the State-Dependent Effect of Periodic Stimulation on Cortical Alpha Oscillations","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stimulation; Rhythm; Neuroscience; Alpha (finance); Endogeny; Stochastic resonance; Population; Brain activity and meditation; Brain stimulation; Resting state fMRI; Physics; Psychology; Electroencephalography; Biology; Computer science; Noise (video); Medicine; Endocrinology; Developmental psychology","score_opus":0.019211263741506977,"score_gpt":0.2508511863297862,"score_spread":0.23163992258827923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953022827","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99434936,0.0001430601,0.0015841568,0.00029003553,0.001969331,0.0011724423,0.00032753745,0.00015620502,0.000007881721],"genre_scores_gemma":[0.99933356,0.000085020234,0.000039743063,0.00011056715,0.00020704692,0.00014006428,3.5121528e-7,0.000070296905,0.000013376239],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9969192,0.00046804253,0.0005002374,0.0009288792,0.0007786257,0.00040501365],"domain_scores_gemma":[0.9962909,0.0012897328,0.000663467,0.0014143768,0.00019598348,0.00014549156],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008100552,0.00044103432,0.00048184555,0.0001698089,0.00062641804,0.00028325632,0.00070414995,0.00024211446,0.000021247852],"category_scores_gemma":[0.0037094767,0.00032716198,0.00015710303,0.00020928303,0.00038415787,0.00013670206,0.00036423048,0.00088382285,0.000054239455],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002711151,0.0001066399,0.0027390919,0.0001799333,0.000025650557,0.000026432597,0.000019107769,0.022116764,0.9735881,0.00084149546,0.00005656524,0.000029080018],"study_design_scores_gemma":[0.0012956093,0.00081553636,0.33374634,0.00065182307,0.00019651145,6.969888e-8,9.984524e-7,0.14483386,0.51724786,0.000042695872,0.0002736031,0.0008950918],"about_ca_topic_score_codex":0.000034848214,"about_ca_topic_score_gemma":0.0000038867715,"teacher_disagreement_score":0.45634025,"about_ca_system_score_codex":0.00016423264,"about_ca_system_score_gemma":0.00022939559,"threshold_uncertainty_score":0.99991804},"labels":[],"label_agreement":null},{"id":"W2953024815","doi":"10.1371/journal.pbio.2006812","title":"Attention promotes the neural encoding of prediction errors","year":2019,"lang":"en","type":"article","venue":"PLoS Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":128,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Centre of Excellence for Integrative Brain Function, Australian Research Council","keywords":"Stimulus (psychology); Predictive coding; Sensory system; Perception; Neural coding; Electroencephalography; Encoding (memory); Cognition; Computer science; Information processing; Neuroscience; Artificial intelligence; Visual perception; Coding (social sciences); Cognitive psychology; Machine learning; Psychology","score_opus":0.034856907053575005,"score_gpt":0.24975488145366426,"score_spread":0.21489797440008926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953024815","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99717945,0.000005965239,0.000039715138,0.0008074462,0.0008365367,0.00023862373,0.000014157824,0.000036891048,0.00084122206],"genre_scores_gemma":[0.9994728,0.000007877632,0.000007948586,0.0001702238,0.000051423438,0.000007845396,0.000008675429,0.0000050025296,0.0002682055],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99938935,0.00010160793,0.00013105937,0.00019589503,0.00006407769,0.00011799132],"domain_scores_gemma":[0.9996304,0.00011083047,0.000089799985,0.00013742814,0.000018842897,0.000012723949],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008447376,0.000057517933,0.00008059378,0.000038147562,0.000056696947,0.000006557944,0.00011651806,0.000046524143,0.000043192096],"category_scores_gemma":[0.00015266711,0.00003492654,0.00004026211,0.00011490314,0.00008600241,0.000085213294,0.0000411558,0.00009270903,0.000034371027],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012473224,0.000025059215,0.026695512,0.000009040783,0.0000022796094,2.1081304e-7,0.000025528088,0.00001558703,0.9700685,0.0024957662,0.000014910208,0.0006351322],"study_design_scores_gemma":[0.0006115663,0.001503327,0.09293252,0.00003919157,0.000035573245,0.000045353783,0.00008543235,0.20777318,0.6900416,0.005679865,0.0010412146,0.00021115117],"about_ca_topic_score_codex":0.000007762923,"about_ca_topic_score_gemma":0.0000023109867,"teacher_disagreement_score":0.28002688,"about_ca_system_score_codex":0.000009089431,"about_ca_system_score_gemma":0.000005173103,"threshold_uncertainty_score":0.1424263},"labels":[],"label_agreement":null},{"id":"W2953125740","doi":"10.1101/674242","title":"Mathematics and the brain –a category theoretic approach to go beyond the neural correlates of consciousness","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Japan Society for the Promotion of Science; Core Research for Evolutional Science and Technology; Templeton World Charity Foundation","keywords":"Consciousness; Neural correlates of consciousness; Functor; Cognitive science; Electromagnetic theories of consciousness; Cognition; Artificial consciousness; Psychology; Integrated information theory; Cognitive psychology; Epistemology; Artificial intelligence; Computer science; Mathematics; Neuroscience; Pure mathematics; Philosophy","score_opus":0.013495455782549643,"score_gpt":0.2099029484840119,"score_spread":0.19640749270146224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953125740","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99055773,0.000290443,0.002812102,0.0020767981,0.0015804924,0.0022437726,0.00012723394,0.00012164521,0.00018979252],"genre_scores_gemma":[0.9974748,0.000083983716,0.000371441,0.0016795155,0.00010087117,0.00016465387,1.5529946e-7,0.00008515196,0.000039460225],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99737674,0.00038129656,0.0005385337,0.00084330153,0.00045207856,0.00040807287],"domain_scores_gemma":[0.99629915,0.0014904187,0.00051666726,0.0013981761,0.0001748274,0.00012076877],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012334012,0.00045914343,0.00059664965,0.00013499564,0.00025862962,0.00027179695,0.0009771972,0.00026012812,0.000007915554],"category_scores_gemma":[0.0011838335,0.0002714659,0.00015336924,0.00046974458,0.0010169445,0.00008583888,0.0008856122,0.00083045877,0.00003270996],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015262562,0.00020153298,0.00088108383,0.00088604586,0.000061226005,0.000008182366,0.00027907506,0.0023074986,0.6297312,0.36482057,0.0006658671,0.0000051207185],"study_design_scores_gemma":[0.005373004,0.00044615573,0.026607724,0.00075809465,0.0008905262,0.0000022707225,0.00019878439,0.6425936,0.3136499,0.0043129004,0.0017166813,0.0034503534],"about_ca_topic_score_codex":0.000016440954,"about_ca_topic_score_gemma":7.2139926e-7,"teacher_disagreement_score":0.6402861,"about_ca_system_score_codex":0.000049182898,"about_ca_system_score_gemma":0.00015173771,"threshold_uncertainty_score":0.9999738},"labels":[],"label_agreement":null},{"id":"W2953137125","doi":"10.1016/j.neuroimage.2019.04.077","title":"Adolescent cognitive control, theta oscillations, and social observation","year":2019,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":69,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Mental Health; National Science Foundation of Sri Lanka; National Institutes of Health; Netherland-America Foundation","keywords":"Psychology; Context (archaeology); Cognition; Neuroscience; Control (management); Cognitive psychology; Motor control; Developmental psychology; Computer science; Artificial intelligence","score_opus":0.037198496174865016,"score_gpt":0.2560519930896036,"score_spread":0.21885349691473857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953137125","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944608,0.000006063238,0.00020862883,0.0018661513,0.00034524006,0.00036620928,0.000042072137,0.00006670315,0.0026381162],"genre_scores_gemma":[0.9935262,0.000012723283,0.000006921904,0.005386924,0.00006929705,0.0000048966044,0.000006829278,0.000014037246,0.0009721331],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991094,0.00010989697,0.00012008516,0.00033389463,0.00017570387,0.00015105456],"domain_scores_gemma":[0.9995968,0.00018329996,0.0000719315,0.0000835624,0.000036284087,0.0000281294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007347063,0.00009775977,0.00010433839,0.000041825493,0.00015830006,0.000080589685,0.000059126804,0.00003490472,0.000035564295],"category_scores_gemma":[0.00013383887,0.00008907277,0.000036526333,0.00011123294,0.00005672919,0.00023440845,0.000034609482,0.00013622886,0.00011590299],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000090258094,0.00005076905,0.01792528,0.000022907674,0.0000018735806,0.0000075049184,0.000070384136,0.0000070612427,0.97312,0.004042718,0.000260722,0.0044005495],"study_design_scores_gemma":[0.0022285625,0.00020980951,0.9564151,0.00002100643,0.00002597154,0.000023683631,0.000048163318,0.02480043,0.009326814,0.0010589991,0.005565649,0.00027578216],"about_ca_topic_score_codex":0.0000030499295,"about_ca_topic_score_gemma":0.0000013502776,"teacher_disagreement_score":0.96379316,"about_ca_system_score_codex":0.0000114975655,"about_ca_system_score_gemma":0.00001109948,"threshold_uncertainty_score":0.36322823},"labels":[],"label_agreement":null},{"id":"W2953147353","doi":"10.1177/1059712319854350","title":"From metaphor to theory: the role of resonance in perceptual learning","year":2019,"lang":"en","type":"article","venue":"Adaptive Behavior","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Perception; Perceptual learning; Metaphor; Psychology; Perceptual system; Cognitive science; Adaptive resonance theory; Cognitive psychology; Process (computing); Ecological psychology; Computer science; Artificial intelligence; Neuroscience; Artificial neural network","score_opus":0.023020125892514037,"score_gpt":0.25342003006242536,"score_spread":0.23039990416991132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953147353","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99831784,0.000046090154,0.000028001934,0.00006426235,0.00014928222,0.00035599308,0.000023757195,0.00001613353,0.0009986343],"genre_scores_gemma":[0.99807084,0.00000457631,0.00006811019,0.00018221304,0.000023561333,0.000041929892,0.0000014694407,0.00001271289,0.0015945793],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990009,0.00021374515,0.00013444653,0.00029166744,0.00020601634,0.00015321601],"domain_scores_gemma":[0.9993753,0.0003246441,0.000055626526,0.00019198476,0.000023926708,0.000028509723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018853758,0.00008890653,0.00012816756,0.000049520182,0.000046919056,0.000013973864,0.00020428786,0.00003708482,0.00021861926],"category_scores_gemma":[0.00014226756,0.00006177747,0.000049188024,0.00022851145,0.000055515637,0.000090585905,0.00008379225,0.00022181954,0.00015284106],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013548086,0.000053351843,0.014695539,3.641217e-7,9.2324603e-7,0.0000034400643,0.0012672427,0.00009911727,0.9477851,0.009236243,0.000007691205,0.026715528],"study_design_scores_gemma":[0.00051193807,0.00073262944,0.71054703,0.000039576404,0.000037000813,0.0000039780352,0.0070629865,0.0028961464,0.2668852,0.0026997202,0.008294864,0.00028896183],"about_ca_topic_score_codex":0.00030049053,"about_ca_topic_score_gemma":0.00004612763,"teacher_disagreement_score":0.69585145,"about_ca_system_score_codex":0.000025285095,"about_ca_system_score_gemma":0.000014202372,"threshold_uncertainty_score":0.2519212},"labels":[],"label_agreement":null},{"id":"W2953208766","doi":"10.1101/230235","title":"Methods for chair restraint and training of the common marmoset on oculomotor tasks","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"","keywords":"Marmoset; Callithrix; Neuroscience; Macaque; Saccade; Eye movement; Saccadic masking; Fixation (population genetics); Primate; Frontal eye fields; Psychology; Optogenetics; Superior colliculus; Computer science; Biology","score_opus":0.060237697788798415,"score_gpt":0.3109870035248292,"score_spread":0.2507493057360308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953208766","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99032176,0.00010104744,0.002436585,0.0012658031,0.0030645698,0.0018196462,0.0008059709,0.00013995553,0.000044685556],"genre_scores_gemma":[0.9932965,0.00007504911,0.0055871094,0.0005056634,0.00023563676,0.0001974312,1.7528639e-7,0.00008639252,0.00001605071],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974804,0.00039221876,0.000449555,0.00097641617,0.00028142086,0.0004200247],"domain_scores_gemma":[0.996815,0.0005570636,0.00080799643,0.0015454711,0.00013102098,0.00014341538],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011833435,0.0004277171,0.0005644507,0.00013174227,0.00047899387,0.00020497105,0.0008718305,0.00036057053,0.0000050989015],"category_scores_gemma":[0.0019367909,0.00033974662,0.00022188382,0.00014377054,0.0003643889,0.00009236074,0.00056780945,0.00071571564,0.0000016062849],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000704877,0.000056694003,0.00019817385,0.00027573906,0.000022203927,0.000005290203,0.000019743975,0.0000336345,0.99346143,0.0055737896,0.000075624055,0.00020721185],"study_design_scores_gemma":[0.00072010077,0.00026445548,0.054937266,0.0006630158,0.000096288844,8.0281104e-8,0.000003721966,0.0084914155,0.9257982,0.00022775416,0.008127749,0.0006699603],"about_ca_topic_score_codex":0.00002236093,"about_ca_topic_score_gemma":0.0000021865735,"teacher_disagreement_score":0.067663215,"about_ca_system_score_codex":0.00009057395,"about_ca_system_score_gemma":0.00021698447,"threshold_uncertainty_score":0.99990547},"labels":[],"label_agreement":null},{"id":"W2953286293","doi":"10.1371/journal.pcbi.1005814","title":"Transcriptomic correlates of neuron electrophysiological diversity","year":2017,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"National Institute of General Medical Sciences; National Institute of Mental Health; Networks of Centres of Excellence of Canada; Canadian Institutes of Health Research; National Institutes of Health; Kids Brain Health Network; Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Biology; Neuroinformatics; Transcriptome; Electrophysiology; Neuroscience; Gene expression; Gene expression profiling; Gene; Genetics","score_opus":0.04856669881740294,"score_gpt":0.2588149797114588,"score_spread":0.21024828089405584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953286293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99792117,0.0000048995744,0.0009635982,0.00036438718,0.00024962207,0.00007975862,0.000026914791,0.000027268534,0.00036238585],"genre_scores_gemma":[0.9995129,0.000011149797,0.00011233223,0.00028495773,0.000029400086,0.0000016900048,0.000014102211,0.0000034498507,0.000030030402],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99937576,0.00007625543,0.00011351814,0.0002354599,0.00007602646,0.00012297851],"domain_scores_gemma":[0.9994559,0.00023969219,0.00012864672,0.00011593037,0.000033294076,0.000026511914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003014832,0.00007134964,0.0001279391,0.000033147466,0.0004420775,0.0000127615085,0.0002834925,0.0000527404,0.000035761226],"category_scores_gemma":[0.00020302627,0.000058109457,0.000055566048,0.000028649773,0.00025833969,0.00006966267,0.00015107627,0.000103577964,0.000023002338],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000100396544,0.00008932237,0.013599611,0.0000049748946,0.0000059964495,0.000003416412,0.000014871445,0.0010050359,0.94292873,0.041609593,0.000023857581,0.00061420933],"study_design_scores_gemma":[0.00077774207,0.0012902317,0.54170364,0.000008164213,0.000022132495,0.000017070108,0.0000024717342,0.15364943,0.05184933,0.25041035,0.00006089094,0.00020855112],"about_ca_topic_score_codex":0.000009632211,"about_ca_topic_score_gemma":0.0000010228869,"teacher_disagreement_score":0.89107937,"about_ca_system_score_codex":0.000009923936,"about_ca_system_score_gemma":0.0000116775345,"threshold_uncertainty_score":0.34001473},"labels":[],"label_agreement":null},{"id":"W2953407927","doi":"10.1016/j.cub.2019.05.069","title":"Changing the Real Viewing Distance Reveals the Temporal Evolution of Size Constancy in Visual Cortex","year":2019,"lang":"en","type":"article","venue":"Current Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":54,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Canadian Institute for Advanced Research","keywords":"Biology; Visual cortex; Subjective constancy; Color constancy; Evolutionary biology; Cognitive psychology; Computer vision; Neuroscience; Perception; Computer science","score_opus":0.028334404655982807,"score_gpt":0.3049773959526582,"score_spread":0.2766429912966754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953407927","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965382,0.00033322454,0.00038135189,0.00026926887,0.0017041015,0.00034162018,0.000016845186,0.000015259015,0.0004001276],"genre_scores_gemma":[0.99958676,0.00014513702,0.0000024677208,0.000096334625,0.00006119976,0.000012538442,0.0000041561943,0.0000051136863,0.00008629036],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99894637,0.00025612052,0.00023763947,0.00024549814,0.000079699574,0.00023467136],"domain_scores_gemma":[0.9990657,0.0005522494,0.00017026158,0.00017611224,0.000020688587,0.000014986579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036248175,0.00008837252,0.00014865359,0.000033834323,0.00008706889,0.0000089297355,0.00018582551,0.000038375754,0.00002220272],"category_scores_gemma":[0.00024449476,0.000048472542,0.000048071804,0.00034480647,0.00017841747,0.000053963933,0.00007449611,0.00017250558,0.000013896425],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007732722,0.000080564474,0.2622665,0.000053331223,0.0000029738376,0.0000012512318,0.00040399533,0.000016788423,0.6486074,0.075409964,0.000053891275,0.0130260475],"study_design_scores_gemma":[0.0036853547,0.0014765861,0.8328954,0.0009939998,0.00005679601,0.00005992144,0.0022561308,0.061543394,0.017479355,0.039264474,0.039033104,0.0012554895],"about_ca_topic_score_codex":0.000016085978,"about_ca_topic_score_gemma":0.000019937419,"teacher_disagreement_score":0.631128,"about_ca_system_score_codex":0.000052602394,"about_ca_system_score_gemma":0.000022515542,"threshold_uncertainty_score":0.19766529},"labels":[],"label_agreement":null},{"id":"W2953545899","doi":"10.1101/693531","title":"Complexity matching: brain signals mirror environment information patterns during music listening and reward","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"","keywords":"Active listening; Psychology; Perception; Stimulus (psychology); Electroencephalography; Cognitive psychology; Brain activity and meditation; Happiness; Computer science; Speech recognition; Communication; Social psychology; Neuroscience","score_opus":0.02859274999811429,"score_gpt":0.21702421018294166,"score_spread":0.18843146018482737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953545899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99460715,0.000038059923,0.0021667557,0.00053795526,0.0010307813,0.0009679369,0.00035510247,0.00028235881,0.000013884205],"genre_scores_gemma":[0.9977204,0.00011712627,0.0007374564,0.0011280922,0.000119409124,0.00008369551,0.0000013291508,0.00007761887,0.0000148506215],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99704933,0.00022350562,0.0006474558,0.0009758511,0.0005554475,0.00054842996],"domain_scores_gemma":[0.9980071,0.00016244956,0.00065351964,0.0008863446,0.00006607368,0.00022448307],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00046077542,0.0005536809,0.00050132396,0.0002916595,0.0003292216,0.0005360273,0.0004341247,0.0003330396,0.0000703284],"category_scores_gemma":[0.00021338055,0.00058889843,0.00013529573,0.00017604833,0.00012976071,0.00066296034,0.0009698414,0.00083067553,0.00013438256],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003925536,0.000044138633,0.0024321189,0.0006907012,0.000018624609,0.000021168415,0.00005844354,0.00037239995,0.99593437,0.00035753933,0.00002754182,0.0000036852152],"study_design_scores_gemma":[0.0012578241,0.00013688051,0.43892676,0.0008183739,0.00008200783,3.5971843e-7,0.00001849448,0.0068252096,0.5472874,0.000043898803,0.0028969732,0.0017058098],"about_ca_topic_score_codex":0.000087632485,"about_ca_topic_score_gemma":0.0000035128935,"teacher_disagreement_score":0.448647,"about_ca_system_score_codex":0.0002656388,"about_ca_system_score_gemma":0.000087953806,"threshold_uncertainty_score":0.99965626},"labels":[],"label_agreement":null},{"id":"W2953759510","doi":"10.1101/682609","title":"Motor planning modulates neural activity patterns in early human auditory cortex","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Sensory system; Neuroscience; Psychology; Motor cortex; Auditory cortex; Cued speech; Posterior parietal cortex; Motor system; Movement (music); Motor control; Cortex (anatomy); Supplementary motor area; Action (physics); Functional magnetic resonance imaging; Cognitive psychology","score_opus":0.024504194710301443,"score_gpt":0.2419219576377404,"score_spread":0.21741776292743897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953759510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99315083,0.00003869506,0.00022328318,0.00008150893,0.004819372,0.0009877176,0.0002926383,0.00039565904,0.000010323544],"genre_scores_gemma":[0.99865997,0.000022723374,0.000039946575,0.00025439452,0.00070663815,0.00012584704,3.591066e-7,0.00015977462,0.000030349605],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99603957,0.00030789166,0.00053268677,0.0017456092,0.00057500537,0.0007992428],"domain_scores_gemma":[0.9976486,0.00018233401,0.0005680657,0.0012671591,0.00011383698,0.00022003215],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003461374,0.0006969488,0.00067588774,0.00048710304,0.00022670902,0.0003818217,0.0007877016,0.00056954817,0.000027959806],"category_scores_gemma":[0.00022463413,0.0007590195,0.00020764777,0.00039023397,0.000110566674,0.0004312315,0.00072178745,0.001697018,0.00007092642],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046123816,0.00013058398,0.0883867,0.00020223828,0.000013362987,0.00014989999,0.000009984303,0.0012610271,0.9096856,0.00006948164,0.00004333815,0.000001667821],"study_design_scores_gemma":[0.00042905798,0.000120589124,0.8272131,0.0002982463,0.000021191643,2.7752977e-8,6.7640906e-7,0.020839827,0.15025768,0.0000032618339,0.00009290259,0.0007234366],"about_ca_topic_score_codex":0.00023373972,"about_ca_topic_score_gemma":0.0000052868377,"teacher_disagreement_score":0.7594279,"about_ca_system_score_codex":0.00037229733,"about_ca_system_score_gemma":0.00016240671,"threshold_uncertainty_score":0.9994861},"labels":[],"label_agreement":null},{"id":"W2954070391","doi":"10.1093/cercor/bhy153","title":"Neural Basis of Sensorimotor Plasticity in Speech Motor Adaptation","year":2018,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut Universitaire de Gériatrie de Montréal; McGill University","funders":"National Center for Advancing Translational Sciences; National Institute on Deafness and Other Communication Disorders; Natural Sciences and Engineering Research Council of Canada","keywords":"Somatosensory system; Neuroscience; Neurocomputational speech processing; Auditory cortex; Psychology; Inferior frontal gyrus; Sensory system; Inferior parietal lobule; Functional magnetic resonance imaging; Perception; Speech perception","score_opus":0.03446997609386042,"score_gpt":0.25489111801565967,"score_spread":0.22042114192179924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954070391","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99728,0.0000013955678,0.00025833296,0.000119941666,0.0006986054,0.00021261835,0.000030561227,0.00004256367,0.0013559954],"genre_scores_gemma":[0.9988335,0.0000025420034,0.0002285798,0.00031241198,0.00017399037,0.000004693411,0.0000027954582,0.000014002528,0.0004275205],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99886733,0.00007692472,0.0002622061,0.00033573277,0.00023180904,0.00022597608],"domain_scores_gemma":[0.99946594,0.00015318443,0.00011746872,0.00014267812,0.000061204606,0.00005950962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005983273,0.000119755896,0.00015837485,0.00012582469,0.000064171254,0.000021341193,0.00013785118,0.00006012531,0.0001890465],"category_scores_gemma":[0.00041393578,0.0001092386,0.000055906905,0.00034243453,0.0001394057,0.00019111435,0.000046639754,0.00012589004,0.000062879],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002009167,0.00007380952,0.0055884123,0.000017648323,0.0000016735403,0.000014267782,0.00010413894,0.000043689797,0.98375976,0.0009821585,0.000113753056,0.0090997685],"study_design_scores_gemma":[0.00071513193,0.00079930853,0.27369753,0.000023662269,0.000009936227,0.000026791706,0.00006115156,0.37229717,0.35121948,0.00072178245,0.00020431403,0.00022378341],"about_ca_topic_score_codex":0.00013003605,"about_ca_topic_score_gemma":0.0001612722,"teacher_disagreement_score":0.6325403,"about_ca_system_score_codex":0.000040053463,"about_ca_system_score_gemma":0.000024756053,"threshold_uncertainty_score":0.44546208},"labels":[],"label_agreement":null},{"id":"W2954648750","doi":"10.1016/j.pneurobio.2019.101659","title":"The function of connectomes in encoding sensory stimuli","year":2019,"lang":"en","type":"article","venue":"Progress in Neurobiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Université de Sherbrooke","funders":"","keywords":"Connectome; Neuroscience; Stimulus (psychology); Salient; Sensory system; Excitatory postsynaptic potential; ENCODE; Computer science; Coherence (philosophical gambling strategy); Functional connectivity; Psychology; Biology; Artificial intelligence; Cognitive psychology; Physics; Inhibitory postsynaptic potential","score_opus":0.03134401582369378,"score_gpt":0.2830821431745443,"score_spread":0.2517381273508505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954648750","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974517,0.000106869345,0.0000038102046,0.00035815832,0.0012047011,0.0002933398,0.000002846832,0.000022773644,0.0005557756],"genre_scores_gemma":[0.9994995,0.00008815431,0.0000058945507,0.00023354225,0.000017968583,0.000019095038,0.0000011252296,0.000008386849,0.00012630552],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988835,0.00027387112,0.00024219825,0.00029847043,0.00006525899,0.0002367158],"domain_scores_gemma":[0.99876857,0.00092144805,0.00010315347,0.00017715961,0.0000153411,0.000014356761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002161603,0.00008799785,0.0001469901,0.00011271665,0.000039089064,0.000012653599,0.00016348179,0.000060434955,0.000015920914],"category_scores_gemma":[0.00021850862,0.00006128414,0.000030799616,0.0002616661,0.00017719538,0.000064357984,0.00007371547,0.00020462337,0.000020266114],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003044195,0.0000782967,0.4199667,0.000031176995,0.0000018963492,0.000013387374,0.00005840117,0.000439243,0.54612374,0.012098819,0.000012498772,0.020871421],"study_design_scores_gemma":[0.0036861429,0.0026559879,0.71470505,0.00013958135,0.0000118844655,0.00009123929,0.0001922829,0.040996604,0.22326048,0.007215697,0.006422354,0.0006226825],"about_ca_topic_score_codex":0.0000034493735,"about_ca_topic_score_gemma":0.000019571662,"teacher_disagreement_score":0.32286328,"about_ca_system_score_codex":0.000016434838,"about_ca_system_score_gemma":0.00001275603,"threshold_uncertainty_score":0.24990948},"labels":[],"label_agreement":null},{"id":"W2955082317","doi":"10.1007/978-3-030-00075-2_7","title":"A Multi-scale View of the Emergent Complexity of Life: A Free-Energy Proposal","year":2019,"lang":"en","type":"book-chapter","venue":"Springer proceedings in complexity","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Self-organization; Living systems; Multicellular organism; Corollary; Free energy principle; Maximization; Autopoiesis; Computer science; Ecology; Artificial intelligence; Mathematics; Biology; Mathematical optimization; Machine learning","score_opus":0.08854448927899777,"score_gpt":0.2645862628784214,"score_spread":0.17604177359942363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955082317","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3438981,0.0009654817,0.0011112033,0.005654727,0.008961024,0.008038616,0.0016372013,0.00049380795,0.62923986],"genre_scores_gemma":[0.9388927,0.00038249715,0.0055599734,0.00087986526,0.00029160772,0.00004981338,0.000012467271,0.00021055336,0.05372052],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9968077,0.000032638836,0.0010316279,0.00090097863,0.0008267964,0.00040028058],"domain_scores_gemma":[0.99778193,0.000069575064,0.0011326455,0.0006457338,0.0002618991,0.000108195665],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00035322437,0.0004996648,0.00094912597,0.00021396203,0.00012286486,0.00003323735,0.0013863314,0.0002794146,0.00024766635],"category_scores_gemma":[0.0003146484,0.00038981863,0.00040430104,0.00024224263,0.0012465257,0.00014108139,0.0013406768,0.00071545615,0.000012923115],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014756357,0.00026748533,0.0020282057,0.0012337415,0.000027367196,0.000001454198,0.00015135694,0.000010032175,0.10838663,0.88639474,0.0005759277,0.00077552773],"study_design_scores_gemma":[0.005195917,0.0010674493,0.051218554,0.0045489282,0.00024278104,0.000060099726,0.00007965514,0.03699452,0.100018404,0.70587397,0.09155635,0.0031433604],"about_ca_topic_score_codex":0.00027753675,"about_ca_topic_score_gemma":0.0005819623,"teacher_disagreement_score":0.5949946,"about_ca_system_score_codex":0.00012945557,"about_ca_system_score_gemma":0.00022505096,"threshold_uncertainty_score":0.9998554},"labels":[],"label_agreement":null},{"id":"W2955274338","doi":"10.1162/neco_a_01211","title":"Approximating the Architecture of Visual Cortex in a Convolutional Network","year":2019,"lang":"en","type":"article","venue":"Neural Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Visual cortex; Computer science; Convolutional neural network; Artificial intelligence; Heuristics; Hyperparameter; Network architecture; Cortex (anatomy); Retinotopy; Neuroscience; Pattern recognition (psychology); Psychology","score_opus":0.01501519532479735,"score_gpt":0.25739049118803464,"score_spread":0.2423752958632373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955274338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946948,0.000008121397,0.003774614,0.00034878982,0.00040829624,0.00030551155,0.00000219241,0.000024219056,0.0004333992],"genre_scores_gemma":[0.9991491,7.421098e-7,0.00017998321,0.00054328376,0.000064331274,0.000005159477,0.000007988461,0.0000069540924,0.000042465297],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990931,0.00014063198,0.00022085608,0.00019243633,0.00020791101,0.00014503901],"domain_scores_gemma":[0.99933064,0.00042824287,0.00014029718,0.000062996776,0.00002268711,0.000015158263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013848112,0.00007473474,0.00010317142,0.000044052784,0.00006168493,0.000020467804,0.00008906469,0.00002841691,0.00001341373],"category_scores_gemma":[0.00007652385,0.00005314936,0.000038744536,0.0003302846,0.000045891004,0.00007489965,0.000038739094,0.00017563438,0.000011006174],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000094472896,0.00005323992,0.007659535,0.000034711025,0.000001988628,0.000002740011,0.00018249016,0.72760826,0.23773271,0.005114239,0.000058470992,0.021457145],"study_design_scores_gemma":[0.0002633737,0.00011370196,0.06122387,0.000015408013,0.000001774695,0.000015575322,0.000015819136,0.93302804,0.00084489805,0.004392641,0.000026829637,0.000058051482],"about_ca_topic_score_codex":0.000011834798,"about_ca_topic_score_gemma":0.000007719544,"teacher_disagreement_score":0.23688781,"about_ca_system_score_codex":0.000017319542,"about_ca_system_score_gemma":0.000014348398,"threshold_uncertainty_score":0.21673681},"labels":[],"label_agreement":null},{"id":"W2955453891","doi":"10.1523/jneurosci.0556-19.2019","title":"The Multiple Representations of Complex Digit Movements in Primary Motor Cortex Form the Building Blocks for Complex Grip Types in Capuchin Monkeys","year":2019,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Fogarty International Center; National Institutes of Health","keywords":"Premotor cortex; Primary motor cortex; Microstimulation; Motor cortex; Neuroscience; Cortex (anatomy); Prehensile tail; Psychology; Posterior parietal cortex; Supplementary motor area; Biology; Anatomy; Dorsum; Functional magnetic resonance imaging","score_opus":0.05140286539912333,"score_gpt":0.30025906345785097,"score_spread":0.24885619805872763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955453891","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99717766,0.0000067097135,0.00023362608,0.00092655217,0.00069292064,0.0005891941,0.000020022164,0.0000047958074,0.00034850786],"genre_scores_gemma":[0.99816316,0.000050483904,0.00011182309,0.0012146975,0.00002852342,0.000009042062,5.384412e-7,0.000009194671,0.00041250687],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99830276,0.00009049101,0.00059610605,0.00024551296,0.00049634994,0.00026878505],"domain_scores_gemma":[0.997862,0.0012319086,0.00053647393,0.00024272055,0.000078124605,0.00004878443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040381987,0.00010868132,0.00019693299,0.0001533881,0.00021472447,0.000103057966,0.0007228531,0.000023298582,0.0000044576836],"category_scores_gemma":[0.001264223,0.00006469127,0.00009858765,0.00052761845,0.00019140281,0.00038608306,0.00012327167,0.00023095602,0.000001098437],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011504298,0.000087361084,0.014294472,0.000009419335,8.21739e-7,0.0000058370333,0.00010572672,0.001803119,0.98232967,0.00034501607,0.00007105029,0.0008324684],"study_design_scores_gemma":[0.0011727464,0.00054412876,0.8178208,0.000043026404,0.000003930858,0.00006655466,0.00013990673,0.15687746,0.018189954,0.0028138228,0.0022135004,0.000114200455],"about_ca_topic_score_codex":0.00005515795,"about_ca_topic_score_gemma":0.000044064738,"teacher_disagreement_score":0.9641397,"about_ca_system_score_codex":0.00006533952,"about_ca_system_score_gemma":0.00007470482,"threshold_uncertainty_score":0.2638033},"labels":[],"label_agreement":null},{"id":"W2956222785","doi":"10.1371/journal.pbio.3000045","title":"Macaque anterior cingulate cortex deactivation impairs performance and alters lateral prefrontal oscillatory activities in a rule-switching task","year":2019,"lang":"en","type":"article","venue":"PLoS Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research","keywords":"Macaque; Prefrontal cortex; Biology; Neuroscience; Anterior cingulate cortex; Task (project management); Cingulate cortex; Rhesus macaque; Cognitive psychology; Psychology; Cognition; Central nervous system; Genetics","score_opus":0.010855841887356932,"score_gpt":0.22078564360977984,"score_spread":0.2099298017224229,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2956222785","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990094,0.00000828451,0.000015865578,0.00007308995,0.00037863603,0.00025333755,0.0000097662105,0.00004556034,0.00020611529],"genre_scores_gemma":[0.9993931,0.00005029321,0.000024738547,0.0003770352,0.00003762634,0.000012153478,0.0000058046776,0.000013257646,0.00008598039],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990346,0.00008632448,0.00017637479,0.00038116387,0.00006643141,0.000255124],"domain_scores_gemma":[0.9996491,0.00009790819,0.00010042967,0.00011157656,0.000006163869,0.00003481135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007494853,0.00013302751,0.00018718894,0.00013344937,0.00007197935,0.000027962456,0.000079518664,0.00008313212,0.000014942787],"category_scores_gemma":[0.00003149719,0.000113278744,0.000025108138,0.00007894934,0.000055947712,0.0003262891,0.00007336912,0.00018993385,0.000011109449],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000111689624,0.000021222924,0.15656959,0.000026048203,0.0000030690705,0.0000025233642,0.00019809385,0.000010322937,0.840503,0.000060313654,8.304618e-7,0.0024932984],"study_design_scores_gemma":[0.0010151635,0.00067640556,0.81926894,0.00011969762,0.000006995466,0.00007390929,0.00007359286,0.08673058,0.09118005,0.000396365,0.00011866907,0.00033964115],"about_ca_topic_score_codex":0.000058688795,"about_ca_topic_score_gemma":0.000030152938,"teacher_disagreement_score":0.74932295,"about_ca_system_score_codex":0.000064338165,"about_ca_system_score_gemma":0.000014549751,"threshold_uncertainty_score":0.4619373},"labels":[],"label_agreement":null},{"id":"W2957741874","doi":"10.1146/annurev-neuro-080317-061906","title":"Peeling the Onion of Brain Representations","year":2019,"lang":"en","type":"review","venue":"Annual Review of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":170,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Cognitive science; Representation (politics); Brain function; Brain activity and meditation; Appeal; Function (biology); Neuroscience; Psychology; Computer science; Computational neuroscience; Cognitive psychology; Electroencephalography; Biology","score_opus":0.116896231846348,"score_gpt":0.41040394048362266,"score_spread":0.29350770863727466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2957741874","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000007988119,0.9948585,0.000051760984,0.0010906891,0.0011563402,0.0014507594,0.00023134853,0.000020971485,0.0011316537],"genre_scores_gemma":[0.00004491058,0.994823,0.000012983447,0.003794052,0.000047432353,0.00003918227,0.0000085340025,0.000027177099,0.0012027728],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9961675,0.0007824057,0.0011451084,0.0007917494,0.0008219904,0.00029127704],"domain_scores_gemma":[0.99527764,0.0020219302,0.0014254538,0.0010498109,0.00014637504,0.000078776284],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0009898625,0.00030777443,0.0012798641,0.00015322588,0.00015442401,0.000030419254,0.0013922462,0.00007747155,0.000016443468],"category_scores_gemma":[0.012197105,0.00018158309,0.0006560551,0.0018531926,0.0004504691,0.0002843902,0.00034127707,0.00041145695,0.00003759399],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024080973,0.0000819393,7.375324e-7,0.11172591,0.0000030760423,0.000007292713,0.000045523666,0.000008675862,0.0033606195,0.004678271,0.005470417,0.87461513],"study_design_scores_gemma":[0.000032216965,0.00012257072,0.000006102487,0.039527144,0.0001343933,0.000077717916,0.0000068027925,0.00007349755,0.000078296274,0.00004402655,0.9597372,0.00016003416],"about_ca_topic_score_codex":0.000009529109,"about_ca_topic_score_gemma":5.1655695e-7,"teacher_disagreement_score":0.9542668,"about_ca_system_score_codex":0.000022704402,"about_ca_system_score_gemma":0.0003580334,"threshold_uncertainty_score":0.99612355},"labels":[],"label_agreement":null},{"id":"W2958203696","doi":"10.1101/696914","title":"Hysteresis in the selective synchronization of brain activity to musical rhythm","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"International Laboratory for Brain, Music and Sound Research","funders":"","keywords":"Rhythm; Stimulus (psychology); Perception; Psychology; Entrainment (biomusicology); Active listening; Communication; Neural correlates of consciousness; Context (archaeology); Speech recognition; Cognitive psychology; Acoustics; Audiology; Neuroscience; Computer science; Cognition; Physics; Biology","score_opus":0.0187224226355465,"score_gpt":0.234498634332784,"score_spread":0.2157762116972375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2958203696","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917734,0.000010617719,0.0044487147,0.0014214269,0.00087541953,0.0012796134,0.00009148287,0.00007961245,0.000019681762],"genre_scores_gemma":[0.9984118,0.000014024938,0.00011842921,0.0011068986,0.00017200838,0.00011428869,1.07351326e-7,0.000055443063,0.0000070110304],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99728286,0.00054088,0.0003476415,0.00096838974,0.00048370758,0.00037654064],"domain_scores_gemma":[0.99796265,0.0005098667,0.00032967702,0.0009435364,0.00017145749,0.00008283423],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00059646857,0.0003398597,0.00042216224,0.00029365235,0.00008885855,0.0001276625,0.00053292775,0.00028654264,0.000013035003],"category_scores_gemma":[0.0013403243,0.00029104724,0.00010952894,0.0011349265,0.00007497247,0.00016089129,0.0003640219,0.000681375,0.000051207837],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059944246,0.00016072637,0.0009694648,0.0001827097,0.000009671318,0.00001924177,0.000039433315,0.0013931412,0.9962729,0.00067281025,0.00020699846,0.000012929031],"study_design_scores_gemma":[0.0004656206,0.0002335,0.2599957,0.00034498514,0.0000365292,7.4885264e-8,0.000004391562,0.017101476,0.72052914,0.000010471574,0.00062833197,0.00064979127],"about_ca_topic_score_codex":0.00006956703,"about_ca_topic_score_gemma":0.000013079385,"teacher_disagreement_score":0.2757438,"about_ca_system_score_codex":0.00027111277,"about_ca_system_score_gemma":0.0002840447,"threshold_uncertainty_score":0.99995416},"labels":[],"label_agreement":null},{"id":"W2959288997","doi":"10.1101/700054","title":"Chirp analyzer for estimating amplitude and latency of steady-state auditory envelope following responses","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Short-time Fourier transform; Fourier transform; Amplitude; Chirp; Acoustics; Amplitude modulation; Speech recognition; Spectrum analyzer; Computer science; Instantaneous phase; Mathematics; Frequency modulation; Physics; Fourier analysis; Telecommunications; Bandwidth (computing); Optics; Mathematical analysis; Radar","score_opus":0.02487672928357453,"score_gpt":0.2527692661842846,"score_spread":0.22789253690071004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2959288997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9854866,0.00016202676,0.0084649855,0.00012202126,0.003992408,0.0011269158,0.00038464987,0.00025201906,0.000008330452],"genre_scores_gemma":[0.9835962,0.00007892586,0.01560185,0.00016817477,0.00026993084,0.00012269398,3.474712e-7,0.00011585038,0.000046016095],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9969318,0.0002037423,0.0006900013,0.0012422646,0.00041052507,0.0005216884],"domain_scores_gemma":[0.99734724,0.0006918672,0.0007217558,0.00087137625,0.00020567767,0.00016211078],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008434594,0.0005002574,0.00070102524,0.00034908848,0.0002393562,0.00021476249,0.0004552289,0.00028526454,0.0000066444054],"category_scores_gemma":[0.0018145168,0.0005050764,0.00024444866,0.00034117632,0.00012865085,0.00024650415,0.0004995206,0.0005033618,0.000010908851],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011127972,0.000059065835,0.004039106,0.00066960667,0.00006133306,0.000020085407,0.000019154435,0.00080124073,0.9938363,0.00027862738,0.00009263044,0.0000116090005],"study_design_scores_gemma":[0.0023050448,0.00046889504,0.21063128,0.0020538394,0.00043787045,1.2999224e-7,0.000007745423,0.123044975,0.6561598,0.00013980154,0.0021807922,0.0025698135],"about_ca_topic_score_codex":0.000024671355,"about_ca_topic_score_gemma":0.0000012731625,"teacher_disagreement_score":0.33767644,"about_ca_system_score_codex":0.0001181395,"about_ca_system_score_gemma":0.00040601462,"threshold_uncertainty_score":0.99974006},"labels":[],"label_agreement":null},{"id":"W2961703236","doi":"10.1177/0959354319860591","title":"How metaphysical commitments shape the study of psychological mechanisms","year":2019,"lang":"en","type":"article","venue":"Theory & Psychology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Metaphysics; Epistemology; Phenomenon; Set (abstract data type); Philosophy of science; Order (exchange); Psychology; Psychological science; Cognitive science; Philosophy; Computer science; Social psychology","score_opus":0.05886286022879471,"score_gpt":0.34079621267489874,"score_spread":0.281933352446104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2961703236","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911848,0.000006950165,0.00052588887,0.001269586,0.0012044898,0.00072692917,0.0000056030585,0.000051496812,0.005024269],"genre_scores_gemma":[0.9949755,0.0000059349386,0.000027092934,0.0039008786,0.00004037503,0.00003410458,0.0000011460071,0.000016329166,0.0009986256],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976763,0.0010890587,0.00019656954,0.00054018595,0.0002405205,0.00025733787],"domain_scores_gemma":[0.9985602,0.0004957048,0.00014564295,0.00073410437,0.000022507576,0.000041830353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004937731,0.00016198435,0.00026873895,0.000060066803,0.00009633591,0.000027876707,0.0006192521,0.000078314624,0.00033917453],"category_scores_gemma":[0.00009123142,0.00009401982,0.00010003883,0.00026514233,0.00018938801,0.00007975035,0.00010636582,0.00028968943,0.00018081503],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000504782,0.0020204238,0.00033720094,0.0000031297086,0.000024935554,0.000011009483,0.00024597597,0.0000052849205,0.6795896,0.30529186,0.0002057552,0.011760022],"study_design_scores_gemma":[0.005223464,0.013445768,0.06414509,0.00001032762,0.000118522206,0.00013917818,0.0014710089,0.0010299003,0.018449815,0.89323646,0.002198311,0.0005321768],"about_ca_topic_score_codex":0.0000010224016,"about_ca_topic_score_gemma":9.280571e-7,"teacher_disagreement_score":0.6611398,"about_ca_system_score_codex":0.0000071036266,"about_ca_system_score_gemma":0.000002508487,"threshold_uncertainty_score":0.3834017},"labels":[],"label_agreement":null},{"id":"W2961843474","doi":"10.1371/journal.pbio.3000368","title":"Correction: Attention promotes the neural encoding of prediction errors","year":2019,"lang":"en","type":"erratum","venue":"PLoS Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Biology; Encoding (memory); Computational biology; Neuroscience","score_opus":0.03585209566233865,"score_gpt":0.2556164715091086,"score_spread":0.21976437584676994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2961843474","genre_codex":"editorial","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3158617,0.00032598124,0.00030227177,0.00431102,0.6218974,0.002673613,0.00056155806,0.00046454178,0.05360192],"genre_scores_gemma":[0.8524459,0.00028935116,0.0000053666577,0.00039035975,0.0020877512,0.000057528458,0.00052471575,0.000045912406,0.14415313],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983442,0.0002936735,0.0003608359,0.00056008156,0.00018592399,0.00025530715],"domain_scores_gemma":[0.99882567,0.000256758,0.00045789787,0.00035691538,0.00007513322,0.000027600505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014944165,0.00022389909,0.0003098406,0.00014127344,0.00017349607,0.0000238999,0.0003218675,0.00042409505,0.00006840095],"category_scores_gemma":[0.0006751618,0.00014734163,0.00015537604,0.00026163456,0.00024248844,0.00011611721,0.000113850896,0.0008156976,0.000046431487],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059275204,0.00012487243,0.0018943914,0.0001524169,0.000033852015,0.0000027729127,0.00007130306,0.000034798933,0.7249822,0.0005886699,0.26961634,0.0024391448],"study_design_scores_gemma":[0.0011334759,0.0051072715,0.016309032,0.00090159744,0.0005309231,0.00041696342,0.00017779507,0.58771634,0.06178402,0.00292654,0.3216213,0.0013747673],"about_ca_topic_score_codex":0.000028186269,"about_ca_topic_score_gemma":0.000017203562,"teacher_disagreement_score":0.6631982,"about_ca_system_score_codex":0.00005100198,"about_ca_system_score_gemma":0.000053068132,"threshold_uncertainty_score":0.60084176},"labels":[],"label_agreement":null},{"id":"W2962765562","doi":"10.1016/j.neuroimage.2019.116037","title":"Older adults exhibit a more pronounced modulation of beta oscillations when performing sustained and dynamic handgrips","year":2019,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University; Centre for Interdisciplinary Research in Rehabilitation","funders":"National Institute of Biomedical Imaging and Bioengineering; Fonds de recherche du Québec – Nature et technologies; Fonds de Recherche du Québec - Santé; National Institutes of Health; AXA Research Fund; Canada Foundation for Innovation; Canada First Research Excellence Fund; Canada Research Chairs; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada; McGill University","keywords":"Magnetoencephalography; Motor cortex; Primary motor cortex; BETA (programming language); Psychology; Neuroscience; Contraction (grammar); Electromyography; Beta Rhythm; Internal medicine; Muscle contraction; Physical medicine and rehabilitation; Medicine; Electroencephalography; Stimulation","score_opus":0.010277656242494833,"score_gpt":0.23256306794111908,"score_spread":0.22228541169862426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2962765562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971076,0.000008476221,0.0003538273,0.0006735452,0.00022425342,0.00075684115,0.000025513496,0.000063068626,0.00078684953],"genre_scores_gemma":[0.9981835,0.000009811087,0.00015858411,0.00019331469,0.000020249257,0.000011157006,0.000015384028,0.000024835515,0.0013831944],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987077,0.000056201898,0.00025158923,0.00049050245,0.00026659798,0.0002273999],"domain_scores_gemma":[0.99929094,0.00012124084,0.0001537414,0.00029878286,0.000078213794,0.000057066816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009723705,0.00015416868,0.00017487038,0.00013199294,0.00013130791,0.000056291046,0.00011167333,0.000054832995,0.00005208215],"category_scores_gemma":[0.00014623642,0.00013954286,0.00005233276,0.00019747563,0.00008638135,0.00044576664,0.00008756982,0.00014890681,0.000013541873],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008984408,0.000053743133,0.0067196423,0.00014179172,0.0000022812385,0.0000043158093,0.0007395134,0.00029893115,0.9852143,0.0005708421,0.000033117518,0.0061316793],"study_design_scores_gemma":[0.0017004027,0.00034118543,0.22501196,0.0000995164,0.0000183329,0.00003472591,0.00023701253,0.7520421,0.019656694,0.00043919557,0.00012854494,0.00029031967],"about_ca_topic_score_codex":0.000017152153,"about_ca_topic_score_gemma":0.0000092776345,"teacher_disagreement_score":0.96555763,"about_ca_system_score_codex":0.00003138252,"about_ca_system_score_gemma":0.000027995728,"threshold_uncertainty_score":0.5690393},"labels":[],"label_agreement":null},{"id":"W2962829831","doi":"10.1002/hipo.23140","title":"Modulation of local field potentials and neuronal activity in primate hippocampus during saccades","year":2019,"lang":"en","type":"article","venue":"Hippocampus","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Ottawa Hospital; Western University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Local field potential; Saccade; Neuroscience; Psychology; Hippocampus; Hippocampal formation; Primate; Premovement neuronal activity; Saccadic masking; Eye movement","score_opus":0.011941447057078652,"score_gpt":0.24232397157520807,"score_spread":0.23038252451812943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2962829831","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99824834,0.000014641843,0.00053200615,0.00020756683,0.0003994382,0.00025886166,0.000005109788,0.00003409794,0.00029993278],"genre_scores_gemma":[0.999622,0.000035029872,0.000031975454,0.00017094506,0.000024131985,0.0000051705647,0.0000012993037,0.0000138993555,0.00009555243],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99884105,0.000110955574,0.00021713314,0.00038943693,0.00021446965,0.00022695218],"domain_scores_gemma":[0.999407,0.00021379541,0.00013060911,0.00018281832,0.000017030661,0.000048782447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013164041,0.00013163287,0.00020072525,0.0001338606,0.000052680673,0.000028672157,0.00009852413,0.000089766996,0.000046097994],"category_scores_gemma":[0.00009291217,0.0001271273,0.000045076788,0.00018982743,0.000060269544,0.00029097628,0.00008945432,0.00018671651,0.000015011322],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016361203,0.000052402767,0.011655481,0.000089154426,0.000001750304,0.000007849538,0.00003707741,0.0014692359,0.94552,0.000383548,0.0000035657483,0.04061636],"study_design_scores_gemma":[0.0008910267,0.00025268155,0.43529665,0.000058355832,0.000006181565,0.000037483853,0.000019017998,0.04162213,0.5134999,0.008105569,0.000012419715,0.00019857827],"about_ca_topic_score_codex":0.000042125343,"about_ca_topic_score_gemma":0.000015200739,"teacher_disagreement_score":0.43202007,"about_ca_system_score_codex":0.000030931104,"about_ca_system_score_gemma":0.000018181734,"threshold_uncertainty_score":0.5184101},"labels":[],"label_agreement":null},{"id":"W2962875614","doi":"10.1101/715359","title":"Functional localization of the frontal eye fields in the common marmoset using microstimulation","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research; Canada First Research Excellence Fund","keywords":"Marmoset; Callithrix; Neuroscience; Macaque; Frontal eye fields; Microstimulation; Saccade; Primate; Cytoarchitecture; Premotor cortex; Supramarginal gyrus; Eye movement; Supplementary eye field; Biology; Anatomy; Functional magnetic resonance imaging","score_opus":0.027327254398910726,"score_gpt":0.23757266639095082,"score_spread":0.21024541199204008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2962875614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902999,0.000044898665,0.0062359585,0.00029459017,0.0021929147,0.0007558097,0.00013056524,0.000036068355,0.0000093121935],"genre_scores_gemma":[0.9988468,0.000016282334,0.000080563346,0.00085308094,0.00014315965,0.000020009673,7.881454e-7,0.00003385128,0.000005442865],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99806416,0.00034655601,0.0004151999,0.00051314797,0.00043375875,0.00022719213],"domain_scores_gemma":[0.9985277,0.0001654965,0.000413909,0.00075760076,0.000106205756,0.00002908391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039937635,0.0002508971,0.00024775017,0.00012006507,0.00017396253,0.000111882,0.00047323178,0.0003006053,0.000021237367],"category_scores_gemma":[0.00020856885,0.00018220155,0.00012323413,0.00048882066,0.00010681357,0.00013037228,0.00030566094,0.00060195115,0.000009127358],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039466104,0.000080471065,0.032289617,0.00010158296,0.000006258309,0.0000032442692,0.000014177257,0.07036228,0.8965089,0.00045887285,0.00013378945,0.0000013783423],"study_design_scores_gemma":[0.00050114904,0.00004145157,0.4069006,0.0002699056,0.000050951076,5.686763e-8,0.000004478733,0.24800226,0.34338462,0.000030393463,0.00044538968,0.00036873145],"about_ca_topic_score_codex":0.00011577284,"about_ca_topic_score_gemma":0.000015235328,"teacher_disagreement_score":0.55312425,"about_ca_system_score_codex":0.00016083497,"about_ca_system_score_gemma":0.00017453049,"threshold_uncertainty_score":0.74299634},"labels":[],"label_agreement":null},{"id":"W2963062788","doi":"10.1016/j.conb.2019.06.005","title":"The language of the brain: real-world neural population codes","year":2019,"lang":"en","type":"review","venue":"Current Opinion in Neurobiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research; York University; Robarts Clinical Trials; Western University","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Canadian Institute for Advanced Research; Google; Alfred P. Sloan Foundation","keywords":"Neuroscience; Population; Psychology; Computer science; Cognitive science; Medicine","score_opus":0.12591448465057567,"score_gpt":0.3992176261374918,"score_spread":0.27330314148691615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963062788","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023746314,0.9465594,0.000002023972,0.00063459383,0.047923025,0.0020267055,0.00020305319,0.00005510523,0.00022145039],"genre_scores_gemma":[0.0017380565,0.9972574,5.770102e-7,0.000081684215,0.00029447323,0.000054190372,0.00012300395,0.00003284178,0.00041773557],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967687,0.0014544915,0.0007381244,0.00056458195,0.00015083312,0.00032328122],"domain_scores_gemma":[0.99638665,0.0021464361,0.0007561663,0.000664117,0.000019158708,0.00002746912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002601042,0.00030687414,0.0007328685,0.00017727517,0.00014483329,0.000028914224,0.0007222095,0.00013344381,0.000008949653],"category_scores_gemma":[0.0005775584,0.00015908129,0.00035838468,0.0007067192,0.00019146377,0.00005515568,0.00031170668,0.0007268198,0.000020336005],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023099621,0.000080232865,0.0005921155,0.006286406,0.0000073019055,6.555489e-7,0.000041014257,0.00006321051,0.00028808977,0.01819944,0.0027872792,0.97163117],"study_design_scores_gemma":[0.00015094267,0.00006915942,0.0014206483,0.0021236117,0.000025146273,0.00002145851,0.0000032619514,0.00035788122,0.000011219869,0.000102601494,0.9955101,0.00020394556],"about_ca_topic_score_codex":0.000051723862,"about_ca_topic_score_gemma":0.00006278994,"teacher_disagreement_score":0.99272287,"about_ca_system_score_codex":0.000061479295,"about_ca_system_score_gemma":0.0000619028,"threshold_uncertainty_score":0.64871466},"labels":[],"label_agreement":null},{"id":"W2963122291","doi":"10.1103/physreve.99.052402","title":"Statistical mechanics of spike events underlying phase space partitioning and sequence codes in large-scale models of neural circuits","year":2019,"lang":"en","type":"article","venue":"Physical review. E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Max-Planck-Gesellschaft; Bundesministerium für Bildung und Forschung; German-Israeli Foundation for Scientific Research and Development; Deutsche Forschungsgemeinschaft","keywords":"Spike (software development); Attractor; Phase space; Statistical physics; Computer science; Biological neural network; Divergence (linguistics); Statistical mechanics; Algorithm; Mathematics; Physics; Mathematical analysis; Machine learning","score_opus":0.08380607511977978,"score_gpt":0.3733544292385936,"score_spread":0.2895483541188138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963122291","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.985346,0.00017932727,0.013730858,0.00013630468,0.00006261016,0.0003426913,0.00008498586,0.000010026066,0.00010720115],"genre_scores_gemma":[0.99882036,0.00085334433,0.00009050907,0.00019375532,0.000006930004,0.0000092283635,0.000006964033,0.000009367186,0.000009520818],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988938,0.00011952051,0.0002694578,0.00028348545,0.0002457794,0.00018793627],"domain_scores_gemma":[0.9993383,0.00027261474,0.000147675,0.00015361539,0.000031240383,0.000056539942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000185012,0.00010339792,0.00035461108,0.000030371024,0.00002691701,0.000007258721,0.00008556354,0.00001838642,0.0000116656665],"category_scores_gemma":[0.0002176814,0.000091210706,0.00005119091,0.00021898758,0.000035574023,0.00021131216,0.000056159734,0.0001325871,0.0000048882193],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017044522,0.00032738768,0.0005231085,0.001017587,0.0000022599002,0.0000038510498,0.00008346884,0.00097126665,0.83874476,0.15385233,0.000006204627,0.004450739],"study_design_scores_gemma":[0.000570519,0.00025952974,0.00050970976,0.00082511565,0.000022009333,0.0000049732653,0.00001529422,0.9048757,0.018244527,0.07452925,0.000015503148,0.00012789058],"about_ca_topic_score_codex":0.000013517102,"about_ca_topic_score_gemma":0.000007182907,"teacher_disagreement_score":0.9039044,"about_ca_system_score_codex":0.00001738443,"about_ca_system_score_gemma":0.000017414899,"threshold_uncertainty_score":0.37194648},"labels":[],"label_agreement":null},{"id":"W2963138386","doi":"10.1167/19.4.29","title":"Using deep learning to probe the neural code for images in primary visual cortex","year":2019,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"National Institutes of Health; U.S. National Library of Medicine; National Institute of General Medical Sciences; Canadian Institute for Advanced Research","keywords":"Unicode; Computer science; Artificial intelligence","score_opus":0.02633690741515225,"score_gpt":0.3249912870791114,"score_spread":0.29865437966395914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963138386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952418,0.000020871425,0.003093153,0.0007073931,0.00057891,0.00028254936,0.0000011824388,0.000005663556,0.0000684437],"genre_scores_gemma":[0.99827385,0.0000121063285,0.0006095797,0.0008279578,0.00010122181,0.0000010531244,3.416547e-7,0.00001262812,0.00016127275],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990868,0.00009765436,0.00027441588,0.00013561068,0.00024974084,0.00015578736],"domain_scores_gemma":[0.9993187,0.0002816848,0.0002316803,0.00006356615,0.00006184385,0.00004249829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043229628,0.000074875825,0.00013961649,0.000114999646,0.00009653685,0.00007672433,0.00014604442,0.000028250837,0.000009064095],"category_scores_gemma":[0.00029198665,0.000046360572,0.000074966556,0.00018205261,0.000016410972,0.00028478628,0.000056426987,0.00025954004,0.0000052486535],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023183957,0.00003842876,0.001660691,0.000012543368,8.1417056e-7,0.000008562397,0.00007770763,0.00928681,0.9760208,0.000019398114,0.000037515107,0.012604902],"study_design_scores_gemma":[0.001750595,0.0037633798,0.23844005,0.0002316355,0.000020016676,0.00037553775,0.0001955852,0.71423304,0.037458863,0.00042335576,0.0028654716,0.00024244416],"about_ca_topic_score_codex":0.0000017135097,"about_ca_topic_score_gemma":0.0000022783395,"teacher_disagreement_score":0.9385619,"about_ca_system_score_codex":0.0000660694,"about_ca_system_score_gemma":0.000023916464,"threshold_uncertainty_score":0.18905292},"labels":[],"label_agreement":null},{"id":"W2963553031","doi":"10.3389/frobt.2016.00018","title":"Trajectories entropy in dynamical graphs with memory","year":2016,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Invenia (Canada)","funders":"","keywords":"Computer science; Entropy (arrow of time); Graph; Statistical physics; Theoretical computer science; Physics","score_opus":0.14954504579755049,"score_gpt":0.472489775597105,"score_spread":0.32294472979955446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963553031","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995561,0.0004130601,0.00039843706,0.00052111805,0.0007429683,0.00043407723,0.000042804822,0.00004919425,0.0018373439],"genre_scores_gemma":[0.9965037,0.0023003777,0.000056025186,0.0003977115,0.000078693134,0.00003647362,0.000001965706,0.00004701262,0.00057800283],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9971302,0.00034359415,0.0006372046,0.0006455873,0.0007556652,0.00048773587],"domain_scores_gemma":[0.99804676,0.0007185116,0.00048066644,0.00042373614,0.0001100374,0.00022027765],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00055834826,0.00031695262,0.00056789606,0.00076408486,0.00018323824,0.0006025894,0.0017797354,0.000095052674,0.0026466365],"category_scores_gemma":[0.0005532015,0.00019664764,0.00013681757,0.0012844912,0.00033068942,0.00245647,0.00040184005,0.00033837341,0.000016955955],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050562934,0.00019263239,0.1695975,0.00002202808,0.000017002198,0.00010753876,0.00004225306,0.000044671226,0.81720334,0.0016730444,0.0012062826,0.009388059],"study_design_scores_gemma":[0.0018912618,0.00007556984,0.6284655,0.0005198493,0.000037061975,0.00008616903,0.000041591422,0.00033286813,0.33913508,0.027247785,0.0014923044,0.00067498646],"about_ca_topic_score_codex":0.00026729694,"about_ca_topic_score_gemma":0.00018189888,"teacher_disagreement_score":0.47806826,"about_ca_system_score_codex":0.00012745391,"about_ca_system_score_gemma":0.000100887046,"threshold_uncertainty_score":0.9982651},"labels":[],"label_agreement":null},{"id":"W2963630453","doi":"10.3389/fncom.2014.00123","title":"Structured chaos shapes spike-response noise entropy in balanced neural networks","year":2014,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"National Institute on Drug Abuse","keywords":"Chaotic; Computer science; Spike train; Statistical physics; Entropy (arrow of time); Spike (software development); Network dynamics; ENCODE; Artificial neural network; Artificial intelligence; Physics; Mathematics","score_opus":0.11946565642858221,"score_gpt":0.46444642026715455,"score_spread":0.34498076383857235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963630453","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99561095,0.00048588376,0.0009138769,0.00048218246,0.0014847203,0.0005738508,0.000025902758,0.00005793897,0.00036470292],"genre_scores_gemma":[0.99667656,0.00090441183,0.00004162348,0.0017944423,0.00029161182,0.00003181651,0.000005283338,0.000056814897,0.00019743886],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9960437,0.0010502683,0.0008511104,0.0007415818,0.0006812584,0.0006321204],"domain_scores_gemma":[0.9973714,0.0010435092,0.0007408096,0.0004527278,0.00011104867,0.00028053523],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012315814,0.0004017841,0.000727032,0.0007067337,0.00026391688,0.0011466538,0.0023759261,0.0001445938,0.002355363],"category_scores_gemma":[0.0016214353,0.00034499008,0.00019414422,0.0012291527,0.0001777064,0.0018312883,0.00070277415,0.00067224685,0.000010849463],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018885912,0.00011383126,0.070919335,0.00002146996,0.000011321376,0.000055664816,0.000044312357,0.017412929,0.8941546,0.00020448778,0.0017091603,0.0134643],"study_design_scores_gemma":[0.001172243,0.000043985183,0.7437127,0.00012039396,0.00002074473,0.000035424764,0.000009553239,0.20145316,0.04783418,0.0033047905,0.0018126637,0.00048015948],"about_ca_topic_score_codex":0.00016422424,"about_ca_topic_score_gemma":0.000057864552,"teacher_disagreement_score":0.8463204,"about_ca_system_score_codex":0.000099554396,"about_ca_system_score_gemma":0.000048316873,"threshold_uncertainty_score":0.9999002},"labels":[],"label_agreement":null},{"id":"W2963647570","doi":"10.1111/psyp.13435","title":"The ecological cocktail party: Measuring brain activity during an auditory oddball task with background noise","year":2019,"lang":"en","type":"article","venue":"Psychophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Active listening; Psychology; Electroencephalography; Task (project management); Noise (video); Oddball paradigm; Brain activity and meditation; Cognition; Limiting; Cognitive psychology; Perception; Silence; Auditory perception; Background noise; Communication; Computer science; Neuroscience; Event-related potential; Acoustics; Artificial intelligence","score_opus":0.029054372346717844,"score_gpt":0.25725284849340346,"score_spread":0.22819847614668562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963647570","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99547094,0.000005164979,0.000022644179,0.0012891,0.0018959786,0.00033799582,0.000005946693,0.0001082256,0.0008640088],"genre_scores_gemma":[0.99721795,0.000028783315,0.000012849367,0.001077346,0.00036511614,0.00004420184,0.0000026637895,0.00002478048,0.0012262785],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99797577,0.00041976766,0.00016157157,0.0007307514,0.00021546922,0.00049666036],"domain_scores_gemma":[0.9985395,0.0006245051,0.0001433834,0.000550103,0.000033562577,0.00010893437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018841743,0.00021150876,0.00022667796,0.000040951018,0.0004709791,0.000073472045,0.00037657804,0.00011620897,0.00006833934],"category_scores_gemma":[0.000088791254,0.00012959556,0.00006969113,0.00017849154,0.00022690113,0.0002658821,0.00009120988,0.00038643225,0.0002683469],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007781341,0.00014967857,0.0003939447,0.000011389045,0.0000075908756,0.000009772571,0.000029529674,0.00030144793,0.9970237,0.00020582446,0.00023333584,0.0008556707],"study_design_scores_gemma":[0.0043253303,0.004332567,0.8352348,0.00003681963,0.000027929753,0.00014463195,0.00019677088,0.009063461,0.1282715,0.0045739994,0.012621886,0.0011702548],"about_ca_topic_score_codex":0.000011535483,"about_ca_topic_score_gemma":0.000047689875,"teacher_disagreement_score":0.8687522,"about_ca_system_score_codex":0.00006208029,"about_ca_system_score_gemma":0.000029584498,"threshold_uncertainty_score":0.52847534},"labels":[],"label_agreement":null},{"id":"W2963776501","doi":"10.1101/710426","title":"Laminar differences in responses to naturalistic texture in macaque V1 and V2","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Institutes of Health; National Science Foundation","keywords":"Macaque; Contrast (vision); Texture (cosmology); Visual cortex; Noise (video); Pattern recognition (psychology); Artificial intelligence; Psychology; Neuroscience; Computer science; Image (mathematics)","score_opus":0.022703310678980883,"score_gpt":0.23591250927455729,"score_spread":0.2132091985955764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963776501","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964691,0.00017729662,0.00005437503,0.00092133536,0.0012046422,0.0008787795,0.00018180114,0.00010391375,0.000008782674],"genre_scores_gemma":[0.99823874,0.00021219645,0.00018542954,0.0010441928,0.00010310236,0.00010690823,1.3317243e-7,0.000057733476,0.000051532006],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9971543,0.000327347,0.0004173871,0.0012812415,0.00032695488,0.00049279665],"domain_scores_gemma":[0.99850756,0.000415393,0.00018385635,0.0006641778,0.000072602954,0.00015638884],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00031902007,0.00045038766,0.0005279909,0.0006312229,0.00007189028,0.0002494298,0.00048418724,0.0004364718,0.000013456295],"category_scores_gemma":[0.0014113302,0.00042510472,0.000054733213,0.00073620805,0.00009701731,0.00014463227,0.0005608568,0.0010653859,0.00003896194],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017109826,0.00007889059,0.07362575,0.00026109564,0.000004651788,0.00020463037,0.000022289187,0.00006105567,0.9241332,0.0013610824,0.00007063149,0.00000565979],"study_design_scores_gemma":[0.00043871457,0.00011523106,0.92925835,0.0006863336,0.0000131012275,8.291632e-8,0.0000038597736,0.0034257455,0.06463629,0.000020711026,0.00067250646,0.0007290752],"about_ca_topic_score_codex":0.000116994146,"about_ca_topic_score_gemma":0.00004070828,"teacher_disagreement_score":0.8594969,"about_ca_system_score_codex":0.00020322294,"about_ca_system_score_gemma":0.00019051037,"threshold_uncertainty_score":0.99982005},"labels":[],"label_agreement":null},{"id":"W2963982892","doi":"10.1101/713180","title":"Temporal integration of narrative information in a hippocampal amnesic patient","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"National Institute of Mental Health; Natural Sciences and Engineering Research Council of Canada","keywords":"Narrative; Hippocampal formation; Hippocampus; Psychology; Neuroscience; Temporal lobe; Active listening; Temporal cortex; Posterior parietal cortex; Cognitive psychology; Semantic memory; Communication; Art; Cognition; Literature","score_opus":0.016177420746420527,"score_gpt":0.21874724220772143,"score_spread":0.2025698214613009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963982892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954677,0.000024000456,0.0013286935,0.00012503346,0.0017048243,0.001072101,0.00015471113,0.00010338702,0.00001952189],"genre_scores_gemma":[0.9990473,0.00003165871,0.00042481974,0.00028716182,0.000059126036,0.000112372974,0.0000012389789,0.000034170076,0.000002146995],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976734,0.0002227013,0.00078194845,0.0005531901,0.00046181172,0.0003069327],"domain_scores_gemma":[0.99807423,0.00009568361,0.00084398873,0.00062483706,0.00027723427,0.000084030755],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030482083,0.0003712451,0.00044402113,0.0005089728,0.00006784789,0.00013113329,0.00031552237,0.0003362896,0.000021054368],"category_scores_gemma":[0.00058119,0.00036086483,0.000116836425,0.0006261141,0.00009035679,0.00067433604,0.0002560058,0.0006612386,0.000046638354],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010685487,0.0001283871,0.0029610617,0.0002424069,0.000008631395,0.000008027155,0.00026524495,0.001441011,0.9936986,0.0010363228,0.000076855424,0.00002660971],"study_design_scores_gemma":[0.00077575777,0.00033230268,0.049005345,0.0006473961,0.00002306798,2.6380679e-8,0.00006531438,0.03086038,0.91699123,0.000029017958,0.0005327158,0.00073744566],"about_ca_topic_score_codex":0.00010652997,"about_ca_topic_score_gemma":0.0000067079227,"teacher_disagreement_score":0.076707356,"about_ca_system_score_codex":0.00028411887,"about_ca_system_score_gemma":0.00034910283,"threshold_uncertainty_score":0.9998843},"labels":[],"label_agreement":null},{"id":"W2964113410","doi":"10.1109/mlsp.2018.8517084","title":"Space-Time Extension of the MEM Approach for Electromagnetic Neuroimaging","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Sleep & Circadian Network; Université de Montréal; École de Technologie Supérieure","funders":"Centre National de la Recherche Scientifique; Agence Nationale de la Recherche; Centre de Recherches Mathématiques","keywords":"Dimensionality reduction; Kronecker product; Wavelet; Computer science; Context (archaeology); Inverse problem; Dimension (graph theory); Algorithm; Entropy (arrow of time); Regularization (linguistics); Applied mathematics; Mathematics; Mathematical optimization; Kronecker delta; Artificial intelligence; Mathematical analysis; Physics","score_opus":0.03153493615963488,"score_gpt":0.25013052478160025,"score_spread":0.21859558862196538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964113410","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95204586,0.00003364195,0.015091447,0.0026060557,0.0020703836,0.0027669172,0.000049489947,0.00019903046,0.02513716],"genre_scores_gemma":[0.9831034,0.000022084962,0.0047773155,0.001077298,0.00022682876,0.00006338516,0.000012057302,0.00005658148,0.010661057],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983042,0.0001227844,0.00025184953,0.0007606199,0.00028475557,0.0002758207],"domain_scores_gemma":[0.9986847,0.00017802462,0.00024687478,0.0007581432,0.00009381713,0.000038453643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019839864,0.00022104642,0.00025217255,0.00007410541,0.00014423928,0.000062896885,0.00051954447,0.000111407935,0.000043822605],"category_scores_gemma":[0.00044801497,0.00014129916,0.00023199398,0.00017085946,0.00016150938,0.00004312964,0.0006753396,0.00031266522,0.000008360648],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031741238,0.00005166502,0.0000101338865,0.000093096154,0.00000238588,3.6373183e-7,0.000013581385,0.00029290907,0.99553555,0.0010777424,0.002395298,0.00049550657],"study_design_scores_gemma":[0.00021931,0.00024396177,0.00075080193,0.00003730469,0.00004592536,0.000024423129,0.0000032851308,0.60053444,0.38966528,0.007655773,0.00058164855,0.00023783944],"about_ca_topic_score_codex":0.000014459715,"about_ca_topic_score_gemma":7.620347e-7,"teacher_disagreement_score":0.6058703,"about_ca_system_score_codex":0.000025751948,"about_ca_system_score_gemma":0.00005717522,"threshold_uncertainty_score":0.5762012},"labels":[],"label_agreement":null},{"id":"W2964183822","doi":"10.48550/arxiv.1810.09920","title":"Clustering Time Series with Nonlinear Dynamics: A Bayesian\\n Non-Parametric and Particle-Based Approach","year":2018,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Biological Sciences","funders":"","keywords":"Cluster analysis; Dirichlet process; Gibbs sampling; Computer science; Inference; Nonlinear system; Bayesian probability; Artificial intelligence; Series (stratigraphy); Statistical inference; Bayesian inference; Particle filter; Machine learning; Mathematics; Statistics; Physics","score_opus":0.03840768352347294,"score_gpt":0.17491751660106614,"score_spread":0.1365098330775932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964183822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.774295,0.000003049485,0.2237995,0.00005933985,0.00016161162,0.0003885706,0.000047663125,0.0001296482,0.0011156183],"genre_scores_gemma":[0.9955452,0.000021977852,0.0023967088,0.00014402109,0.00006786278,0.0000021482583,0.000032122673,0.00004176193,0.0017482169],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981043,0.00010624742,0.00016051148,0.0011611938,0.000111288995,0.00035648333],"domain_scores_gemma":[0.99886197,0.00013044293,0.00019940111,0.00056692,0.00007676406,0.00016453084],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013340167,0.00033735833,0.0003154741,0.00023753013,0.00023194482,0.00015694693,0.00037434377,0.00020192821,0.000021237323],"category_scores_gemma":[0.00006978925,0.0003266016,0.000087987486,0.0007803118,0.00032527657,0.00024346568,0.00052645116,0.00041355513,0.00003446662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00199126,0.000583301,0.011320455,0.00079064915,0.00009706398,0.0006991016,0.00013847594,0.9738644,0.006045602,0.0035795507,0.00007615756,0.00081399956],"study_design_scores_gemma":[0.00057820766,0.0002936158,0.00029791522,0.00006327266,0.00007343993,0.000017562339,0.000028702854,0.99590814,0.0016298324,0.0006858451,0.000025690671,0.00039775477],"about_ca_topic_score_codex":0.000039147617,"about_ca_topic_score_gemma":0.00003523917,"teacher_disagreement_score":0.2214028,"about_ca_system_score_codex":0.00015220541,"about_ca_system_score_gemma":0.00009600513,"threshold_uncertainty_score":0.9999186},"labels":[],"label_agreement":null},{"id":"W2964184805","doi":"10.1007/978-3-030-20965-0_9","title":"Optimal Fisher Decoding of Neural Activity Near Criticality","year":2019,"lang":"en","type":"book-chapter","venue":"Springer series on bio- and neurosystems","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Decoding methods; Criticality; Computer science; Branching process; Stimulus (psychology); Artificial neural network; Encoding (memory); Neuroscience; Neural decoding; Neural activity; Artificial intelligence; Theoretical computer science; Algorithm; Psychology; Statistical physics; Cognitive psychology; Physics","score_opus":0.03590049218999679,"score_gpt":0.24408327346879005,"score_spread":0.20818278127879325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964184805","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90993714,0.00006464684,0.000014847414,0.0005424766,0.0038651892,0.0007122818,0.0002674477,0.00014123478,0.08445473],"genre_scores_gemma":[0.93599445,0.00017486277,0.00001369988,0.0003911956,0.0001789466,0.000006162298,0.00000386897,0.000085621585,0.06315122],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977492,0.000091499285,0.00042771432,0.00094203855,0.00043265105,0.00035686197],"domain_scores_gemma":[0.9986527,0.00029105868,0.00029848362,0.0005657912,0.000053720814,0.0001382305],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015346543,0.00046915578,0.0006504035,0.0001120866,0.00020934634,0.00020060627,0.00024127013,0.00029013012,0.000064686465],"category_scores_gemma":[0.00013909346,0.00042100146,0.00020631074,0.00005509532,0.00033559743,0.00028206102,0.00021609737,0.0005558623,0.00004146711],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016000675,0.0001668325,0.0010460059,0.0023054911,0.000049882514,0.00025174813,0.00011046453,0.00016980697,0.8372403,0.15025091,0.00055254804,0.006255957],"study_design_scores_gemma":[0.003405353,0.009908013,0.01208569,0.002751023,0.0004012395,0.0010869312,0.0000569594,0.038895123,0.4561311,0.0018001371,0.46749902,0.005979401],"about_ca_topic_score_codex":0.00001906726,"about_ca_topic_score_gemma":0.000008361393,"teacher_disagreement_score":0.46694648,"about_ca_system_score_codex":0.00003394832,"about_ca_system_score_gemma":0.00003979691,"threshold_uncertainty_score":0.99982417},"labels":[],"label_agreement":null},{"id":"W2964914614","doi":"10.1186/s13408-019-0074-3","title":"Data-driven inference for stationary jump-diffusion processes with application to membrane voltage fluctuations in pyramidal neurons","year":2019,"lang":"en","type":"article","venue":"The Journal of Mathematical Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Ontario","keywords":"Inference; Jump; Jump diffusion; Diffusion; Computer science; Voltage; Statistical physics; Artificial intelligence; Data mining; Physics; Electrical engineering; Thermodynamics; Engineering","score_opus":0.04032416854466078,"score_gpt":0.3066958129178534,"score_spread":0.2663716443731926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964914614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7611934,0.0000022531447,0.23584345,0.0018427956,0.00013078096,0.00084007345,0.00004571411,0.000016200434,0.00008535738],"genre_scores_gemma":[0.99732876,0.000028332837,0.0012171443,0.0012028465,0.000032216594,0.000019227153,0.0000026493744,0.00001569643,0.00015315175],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99826235,0.00008796185,0.00045083754,0.0003290929,0.00062601944,0.00024376405],"domain_scores_gemma":[0.99648404,0.0024698188,0.00030947576,0.00047366635,0.00015881553,0.000104181425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060924655,0.00013766722,0.0002037819,0.00016202626,0.00016402271,0.00008411391,0.0011105285,0.000026421472,0.000013578032],"category_scores_gemma":[0.0042006443,0.000080917016,0.000025006955,0.00090493157,0.00015957838,0.0006888262,0.00018423314,0.0002174144,0.000022723147],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016665345,0.00021673532,0.0001619131,0.00012402041,6.671974e-7,0.000003677894,0.0002241026,0.022594264,0.97140163,0.0045002047,0.000041970878,0.0005641766],"study_design_scores_gemma":[0.0011019735,0.0016748769,0.010075885,0.00025230716,0.00004507288,0.00033291415,0.00019498453,0.9419385,0.027035447,0.01598443,0.0010234428,0.00034011772],"about_ca_topic_score_codex":0.0000019877464,"about_ca_topic_score_gemma":0.000017158127,"teacher_disagreement_score":0.94436616,"about_ca_system_score_codex":0.000025777594,"about_ca_system_score_gemma":0.00019418892,"threshold_uncertainty_score":0.5028867},"labels":[],"label_agreement":null},{"id":"W2965715355","doi":"10.3934/mbe.2019338","title":"Rapidly forming, slowly evolving, spatial patterns from quasi-cycle Mexican Hat coupling","year":2019,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Amplitude; Physics; Coupling (piping); Statistical physics; Synchronization (alternating current); Phase synchronization; Pattern formation; Spatial ecology; Phase (matter); Mathematics; Topology (electrical circuits); Quantum mechanics; Combinatorics; Materials science","score_opus":0.01185341307153615,"score_gpt":0.22029139839762757,"score_spread":0.20843798532609142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965715355","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90178144,0.000016311249,0.09606264,0.0001594585,0.0009805993,0.00025925774,0.000021119407,0.00020758588,0.00051158265],"genre_scores_gemma":[0.9979042,0.000010054671,0.0015693665,0.00017053222,0.00012513796,0.000014840079,0.0000034012342,0.000027910794,0.00017455996],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978793,0.000015087042,0.0003606341,0.0006129568,0.00059093215,0.0005410537],"domain_scores_gemma":[0.99884915,0.00051186455,0.000100868754,0.0003424926,0.000022826227,0.00017279778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026839162,0.00024893292,0.000291695,0.00012563598,0.00014141842,0.0002485473,0.00049761357,0.000081734346,0.00057591026],"category_scores_gemma":[0.000514847,0.00020225826,0.0001170724,0.00025678304,0.000070868424,0.00045033672,0.00015372965,0.00021790298,0.00029343253],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000075298076,0.00012390412,0.0018444114,0.00008605533,0.000005339358,0.0000119968645,0.0002643907,0.0040757647,0.9774408,0.01434607,0.000014644077,0.0017790986],"study_design_scores_gemma":[0.00018842526,0.00013155075,0.0011895981,0.00012550628,0.000008737517,0.0000084214025,0.00004767299,0.91729206,0.07829271,0.0021983504,0.0002279806,0.00028898355],"about_ca_topic_score_codex":0.00009558555,"about_ca_topic_score_gemma":0.000008458976,"teacher_disagreement_score":0.9132163,"about_ca_system_score_codex":0.00005844762,"about_ca_system_score_gemma":0.000022700217,"threshold_uncertainty_score":0.8247853},"labels":[],"label_agreement":null},{"id":"W2966250919","doi":"10.1371/journal.pone.0220751","title":"Low-cost solution for rodent home-cage behaviour monitoring","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":87,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; Alzheimer Society","keywords":"Flexibility (engineering); Computer science; Rodent; Cage; Circadian rhythm; Real-time computing; Simulation; Neuroscience; Biology; Engineering; Ecology; Statistics","score_opus":0.0727874000167289,"score_gpt":0.25337213468715986,"score_spread":0.18058473467043096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966250919","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99769515,0.000006487019,0.00042381027,0.00021808963,0.000669397,0.00068397826,0.000025779682,0.00007940912,0.00019791306],"genre_scores_gemma":[0.99662817,0.000024810088,0.00025682527,0.0000946171,0.00019353788,0.000076344426,0.0000069990388,0.000020063215,0.0026986264],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99907184,0.00001985514,0.00012331226,0.00029670887,0.00025683947,0.00023142034],"domain_scores_gemma":[0.9995846,0.00007997122,0.000058654332,0.0001905284,0.000035630714,0.00005059743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000080770245,0.00008880608,0.000114826966,0.00005099635,0.000103854465,0.000052731193,0.00011833044,0.000044990164,0.00003051835],"category_scores_gemma":[0.00008502195,0.00008714368,0.0000489181,0.000097642915,0.000013363005,0.00017630952,0.000043948443,0.00010189663,0.00019849467],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030627158,0.00041392117,0.01743377,0.000044730357,0.0000034833176,0.0000012560757,0.000019538958,0.000015466088,0.9808867,0.00014256714,0.000027730941,0.0009801984],"study_design_scores_gemma":[0.0004687752,0.00015664272,0.022079127,0.000089042136,0.000029143435,0.0000012190038,0.000008311384,0.01387713,0.96294016,0.00014764722,0.000047450463,0.00015533852],"about_ca_topic_score_codex":0.000008731839,"about_ca_topic_score_gemma":0.000002032265,"teacher_disagreement_score":0.017946538,"about_ca_system_score_codex":0.00006260337,"about_ca_system_score_gemma":0.000009492192,"threshold_uncertainty_score":0.3553616},"labels":[],"label_agreement":null},{"id":"W2966477309","doi":"10.1016/j.neulet.2019.134404","title":"Asenapine maleate normalizes low frequency oscillatory deficits in a neurodevelopmental model of schizophrenia","year":2019,"lang":"en","type":"article","venue":"Neuroscience Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Asenapine; Neuroscience; Prefrontal cortex; Schizophrenia (object-oriented programming); Haloperidol; Clozapine; Psychology; Antipsychotic; Cognition; Atypical antipsychotic; Coherence (philosophical gambling strategy); Medicine; Psychiatry; Dopamine; Physics","score_opus":0.018504883602871933,"score_gpt":0.21752429357993713,"score_spread":0.1990194099770652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966477309","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973184,0.0000037085447,0.00019500066,0.0006866103,0.000900796,0.00036117164,0.000026476331,0.00006457556,0.0004432576],"genre_scores_gemma":[0.991782,0.000019753817,0.0002516204,0.0077560195,0.000016874566,0.000010906844,0.0000013930045,0.000026296511,0.00013511232],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974572,0.00010253505,0.00043159907,0.00087474426,0.00058497756,0.00054895104],"domain_scores_gemma":[0.9992464,0.00007132458,0.00018605225,0.00037685232,0.000020874695,0.000098495184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014743168,0.00025269252,0.00026193657,0.00036437382,0.0001009337,0.00006021378,0.0005587864,0.000053337786,0.00002063781],"category_scores_gemma":[0.000200919,0.00023432038,0.0001022282,0.00091363856,0.00027289882,0.00065197394,0.00015720681,0.00030416224,0.000051864903],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004779983,0.000055662673,0.020807942,0.000025075822,3.031213e-7,0.000030051662,0.00004476631,0.027385408,0.95083386,0.0005186535,0.000042287338,0.00020819137],"study_design_scores_gemma":[0.0020428821,0.00041917592,0.15635385,0.00011638571,0.0000063734647,0.00011784212,0.000013787193,0.49607912,0.34363496,0.000341337,0.000041463307,0.0008328292],"about_ca_topic_score_codex":0.000026903546,"about_ca_topic_score_gemma":0.00000855457,"teacher_disagreement_score":0.6071989,"about_ca_system_score_codex":0.00007186941,"about_ca_system_score_gemma":0.00009541042,"threshold_uncertainty_score":0.9555308},"labels":[],"label_agreement":null},{"id":"W2967707913","doi":"10.1101/737312","title":"Single unit activity in marmoset posterior parietal cortex in a gap saccade task","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research","keywords":"Marmoset; Saccadic masking; Macaque; Neuroscience; Stimulus (psychology); Saccade; Eye movement; Posterior parietal cortex; Callithrix; Population; Primate; Psychology; Fixation (population genetics); Biology; Medicine; Cognitive psychology","score_opus":0.03303828260929419,"score_gpt":0.2385583438949966,"score_spread":0.20552006128570244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2967707913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99567366,0.00005881306,0.00008166412,0.00031534245,0.0020885356,0.0011700566,0.00037565336,0.00019584686,0.000040406365],"genre_scores_gemma":[0.99885976,0.00007037005,0.000109269626,0.0005676789,0.00013340499,0.00011229074,5.611916e-7,0.00012317864,0.000023485476],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99606436,0.00041351654,0.00059250765,0.0016438211,0.00048661407,0.00079918624],"domain_scores_gemma":[0.9978556,0.00021564355,0.00046982747,0.0011730919,0.00009453619,0.00019132454],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00050773873,0.00063175143,0.0007178193,0.00055919844,0.00008976144,0.00032538088,0.0006946701,0.0006278504,0.00004301821],"category_scores_gemma":[0.0005173293,0.00069736544,0.00014967131,0.0010219293,0.00013960428,0.00036613105,0.0008274917,0.0015897232,0.00012573441],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014554813,0.0003590645,0.016809655,0.00020719084,0.000008130043,0.0002022601,0.000008380278,0.00014294384,0.981948,0.00012897815,0.00002778442,0.000012030839],"study_design_scores_gemma":[0.0010576763,0.00017327542,0.5490943,0.00044118793,0.000026107014,1.3136835e-7,0.0000020438617,0.0069973306,0.4398738,0.000009327599,0.0012839285,0.0010408908],"about_ca_topic_score_codex":0.00020728102,"about_ca_topic_score_gemma":0.00006525056,"teacher_disagreement_score":0.5420742,"about_ca_system_score_codex":0.0004767847,"about_ca_system_score_gemma":0.00042106176,"threshold_uncertainty_score":0.9995477},"labels":[],"label_agreement":null},{"id":"W2968451269","doi":"10.1038/s41593-019-0460-x","title":"The intrinsic attractor manifold and population dynamics of a canonical cognitive circuit across waking and sleep","year":2019,"lang":"en","type":"article","venue":"Nature Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":418,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Simons Institute for the Theory of Computing, University of California Berkeley; National Institutes of Health; Howard Hughes Medical Institute; Canada Research Chairs; Simons Foundation; University of California Berkeley","keywords":"Attractor; Population; Manifold (fluid mechanics); Topology (electrical circuits); Invariant (physics); Dynamical systems theory; Invariant manifold; Mathematics; Computer science; Pure mathematics; Physics; Mathematical analysis","score_opus":0.015482557466568122,"score_gpt":0.27512710514845046,"score_spread":0.25964454768188233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968451269","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99780744,0.000083260355,0.000064453074,0.000382033,0.0010564895,0.0003126003,0.00004033366,0.000026389842,0.00022697785],"genre_scores_gemma":[0.9987273,0.0000895167,0.0000044684675,0.0010088003,0.000028700677,0.0000036951933,0.000001971531,0.000011420503,0.00012411854],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984992,0.00007970356,0.0001943823,0.0005515499,0.00037958391,0.00029556715],"domain_scores_gemma":[0.99879754,0.0007392878,0.00016704388,0.00017662502,0.00005013116,0.00006935663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024658287,0.00013381754,0.0001411936,0.000043347674,0.00037174448,0.00016932377,0.00021073624,0.00012943898,0.0000017510503],"category_scores_gemma":[0.001158076,0.00009539388,0.0000316519,0.00038632503,0.0002603739,0.00031045912,0.0001745334,0.00054924935,0.0000014390201],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015628526,0.00007382275,0.112810835,0.00007140978,0.0000026349737,0.000027389131,0.00022050907,0.000037733425,0.72405326,0.09586271,0.000007544114,0.06667588],"study_design_scores_gemma":[0.00048135596,0.00028217776,0.9462904,0.000046935922,0.000012202447,0.00017876172,0.000074387935,0.042530105,0.008058433,0.0015748615,0.00024882954,0.00022156017],"about_ca_topic_score_codex":0.000028964057,"about_ca_topic_score_gemma":0.0001212183,"teacher_disagreement_score":0.8334796,"about_ca_system_score_codex":0.000031925407,"about_ca_system_score_gemma":0.000021312817,"threshold_uncertainty_score":0.38900495},"labels":[],"label_agreement":null},{"id":"W2968594866","doi":"10.1016/j.conb.2019.07.006","title":"Classes of dendritic information processing","year":2019,"lang":"en","type":"review","venue":"Current Opinion in Neurobiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":78,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada","keywords":"Information processing; Neuroscience; Computer science; Leverage (statistics); Multiplexing; Artificial neural network; Perception; Artificial intelligence; Biology; Telecommunications","score_opus":0.17024408597086083,"score_gpt":0.39815907877203366,"score_spread":0.22791499280117283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968594866","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00007353489,0.98258215,0.00006769555,0.000019238933,0.016092975,0.0008412635,0.00009286152,0.0000405338,0.00018972036],"genre_scores_gemma":[0.0002720173,0.9993057,0.0000047412605,0.000029486408,0.00011482255,0.000050587445,0.00019311308,0.000016928978,0.000012599637],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980847,0.00034048458,0.0008436379,0.00037024182,0.00010637465,0.00025454225],"domain_scores_gemma":[0.99860984,0.00041090467,0.00068090286,0.00023107309,0.00003746663,0.000029841267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010635774,0.0002636166,0.00086190895,0.00047966104,0.00003295598,0.00002932802,0.00032030485,0.00019870355,0.000013633477],"category_scores_gemma":[0.00039328984,0.00021422649,0.00017714607,0.0005095992,0.00009624846,0.00029780404,0.00012922664,0.0004998526,0.00010796451],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000045248066,0.000045085122,0.000010100034,0.03570277,0.0000011562408,1.6686161e-7,0.000010746254,0.000008549751,0.000041098603,0.0012688064,0.00022782583,0.96267915],"study_design_scores_gemma":[0.00013963063,0.000098997465,0.0000129818,0.008005165,0.000019589817,0.000042288924,0.0000017248394,0.00021934553,0.000010983298,0.00006532604,0.9911974,0.00018653591],"about_ca_topic_score_codex":9.309142e-7,"about_ca_topic_score_gemma":1.923712e-7,"teacher_disagreement_score":0.9909696,"about_ca_system_score_codex":0.000046979385,"about_ca_system_score_gemma":0.00018119425,"threshold_uncertainty_score":0.87359023},"labels":[],"label_agreement":null},{"id":"W2968955262","doi":"10.1093/cercor/bhz149","title":"Pulvinar Modulates Contrast Responses in the Visual Cortex as a Function of Cortical Hierarchy","year":2019,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Comisión Nacional de Investigación Científica y Tecnológica; Canadian Institutes of Health Research","keywords":"Visual cortex; Neuroscience; Contrast (vision); Cortex (anatomy); Psychology; Striate cortex; Cortical neurons; Computer science; Artificial intelligence","score_opus":0.017915879639207655,"score_gpt":0.2676797208983736,"score_spread":0.24976384125916595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968955262","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996051,0.000020858979,0.00005530324,0.0003719506,0.0007172489,0.00053297577,0.000011543829,0.0000435474,0.0021955678],"genre_scores_gemma":[0.99729204,0.000014490102,0.000006677928,0.0013821422,0.00005382769,0.000015805406,0.000009464511,0.000019459889,0.0012061044],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99798673,0.00039811214,0.0003795564,0.00046772414,0.00042618735,0.00034167754],"domain_scores_gemma":[0.99867463,0.000763458,0.00013806848,0.00031338696,0.000047024034,0.000063407046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000333407,0.00017886868,0.00025196202,0.00014481721,0.000101522826,0.00006121389,0.000273522,0.00009475124,0.00028474748],"category_scores_gemma":[0.00049922266,0.00012669727,0.00010562306,0.00046914446,0.00017695242,0.00023719523,0.0000662208,0.00036447047,0.0001998235],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014117429,0.00022879988,0.020876905,0.000023816681,0.000006286285,0.00003017051,0.00016602888,0.00002252044,0.95531386,0.018993877,0.0001542916,0.0027717084],"study_design_scores_gemma":[0.0012861631,0.0022532605,0.9633996,0.000039892784,0.000024165807,0.00009572338,0.00039692642,0.01878354,0.008286587,0.0046371636,0.00053979654,0.00025721712],"about_ca_topic_score_codex":0.000050735714,"about_ca_topic_score_gemma":0.000021435842,"teacher_disagreement_score":0.94702727,"about_ca_system_score_codex":0.00003625714,"about_ca_system_score_gemma":0.00006016629,"threshold_uncertainty_score":0.51665646},"labels":[],"label_agreement":null},{"id":"W2969354441","doi":"10.1002/bies.201900077","title":"Habituation Is More Than Learning to Ignore: Multiple Mechanisms Serve to Facilitate Shifts in Behavioral Strategy","year":2019,"lang":"en","type":"review","venue":"BioEssays","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":92,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"Canadian Institutes of Health Research","keywords":"Habituation; Psychology; Cognitive psychology; Neuroscience; Selection (genetic algorithm); Cognitive science; Computer science; Artificial intelligence","score_opus":0.22058174379469794,"score_gpt":0.3577700117471422,"score_spread":0.13718826795244424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969354441","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23633984,0.6644844,0.014618503,0.0032145474,0.017470472,0.049402207,0.008180431,0.002457871,0.0038317647],"genre_scores_gemma":[0.13142744,0.84310055,0.0010110711,0.00219161,0.00037842224,0.0016403713,0.0010720061,0.0005317593,0.018646793],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969377,0.0003122518,0.0005899318,0.0011530803,0.00047625383,0.000530812],"domain_scores_gemma":[0.9988694,0.00020288877,0.00023006972,0.0004557926,0.00004805286,0.00019379881],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00033397862,0.0005115345,0.0009100175,0.0004543605,0.00012807448,0.00017366403,0.0004721268,0.00031880994,0.000058252444],"category_scores_gemma":[0.00023476596,0.0004423013,0.00028233696,0.0009262198,0.000025524181,0.00020181325,0.00023413298,0.0005500764,0.0008681029],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040918632,0.00019036357,0.00010124077,0.0030966452,0.000009820237,0.00006403875,0.0010384837,0.00066224573,0.008779424,0.0010080249,0.00035701608,0.9846518],"study_design_scores_gemma":[0.0013339844,0.0035763336,0.0009118937,0.010792848,0.00041544373,0.000041705902,0.0007230437,0.0067578806,0.0014421899,0.0011454293,0.9688528,0.0040064445],"about_ca_topic_score_codex":0.00041463814,"about_ca_topic_score_gemma":0.00038470214,"teacher_disagreement_score":0.98064536,"about_ca_system_score_codex":0.00022474103,"about_ca_system_score_gemma":0.00011618992,"threshold_uncertainty_score":0.9999098},"labels":[],"label_agreement":null},{"id":"W2969482649","doi":"10.1186/s13408-019-0076-1","title":"Correction to: Linking demyelination to compound action potential dispersion with a spike-diffuse-spike approach","year":2019,"lang":"en","type":"erratum","venue":"The Journal of Mathematical Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Spike (software development); Computer science; Action (physics); Artificial intelligence; Natural language processing; Physics","score_opus":0.03879205237266248,"score_gpt":0.27568535298043617,"score_spread":0.2368933006077737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969482649","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25074032,0.000028626595,0.6454636,0.0050071334,0.0902746,0.002409572,0.000020840356,0.00013591383,0.0059194095],"genre_scores_gemma":[0.93052965,0.0002424248,0.0018884102,0.0056751342,0.0026301327,0.000020371375,0.000008375269,0.00017167967,0.058833808],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9956267,0.0004157956,0.0007719995,0.0006021764,0.002083112,0.0005002474],"domain_scores_gemma":[0.9974067,0.00059485715,0.0009374887,0.00050874107,0.00025477802,0.00029738958],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012802029,0.0004188789,0.00056802615,0.00046651805,0.000546045,0.00039415603,0.001213339,0.00017725237,0.000015683618],"category_scores_gemma":[0.0018932299,0.00024726277,0.00019378569,0.0011596357,0.00020939489,0.0005240142,0.00027948595,0.0017262923,0.00008391547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001396344,0.0010093853,0.0000074539475,0.00042231352,0.000010172926,0.00007573079,0.00087795156,0.029730849,0.84121954,0.0004960085,0.1199123,0.004841931],"study_design_scores_gemma":[0.0016307102,0.007763242,0.0013965841,0.0032959909,0.00041672448,0.011255423,0.00055568374,0.9179563,0.016133057,0.0026212912,0.03542491,0.00155011],"about_ca_topic_score_codex":0.000004646065,"about_ca_topic_score_gemma":0.0000034857337,"teacher_disagreement_score":0.88822544,"about_ca_system_score_codex":0.00020894372,"about_ca_system_score_gemma":0.00018556282,"threshold_uncertainty_score":0.999998},"labels":[],"label_agreement":null},{"id":"W2969669519","doi":"10.1103/physreve.100.022130","title":"Noise sharing and Mexican-hat coupling in a stochastic neural field","year":2019,"lang":"en","type":"article","venue":"Physical review. E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Coupling (piping); Kernel (algebra); Noise (video); Operator (biology); Convolution (computer science); Gaussian; Field (mathematics); Gaussian noise; Stochastic differential equation; Random field; Mathematics; Statistical physics; Physics; Mathematical analysis; Artificial neural network; Algorithm; Computer science; Pure mathematics; Artificial intelligence; Statistics; Engineering; Quantum mechanics","score_opus":0.02645525538185702,"score_gpt":0.3147511002284512,"score_spread":0.2882958448465942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969669519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979475,0.0003724508,0.000058135767,0.00082272413,0.0001378855,0.00030002912,0.0000013682964,0.000021832328,0.00033807717],"genre_scores_gemma":[0.99731225,0.0005065015,0.000002744258,0.0020050346,0.000051625313,0.000014815375,8.948073e-7,0.000009107927,0.00009704632],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919987,0.000015799445,0.00013657854,0.00033868037,0.00013484749,0.0001742385],"domain_scores_gemma":[0.9994551,0.00027089682,0.000046973197,0.00016484679,0.000007967063,0.000054219414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000799206,0.00009909572,0.00022090795,0.000026239732,0.000030526822,0.00002770992,0.0001044545,0.000013871913,0.000021073483],"category_scores_gemma":[0.00034857576,0.000079846184,0.000052629428,0.00017571935,0.000018242674,0.00013328675,0.00009669941,0.00018447614,0.00007922377],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006407417,0.00020118787,0.008709765,0.0010866619,0.0000036829224,0.000023218696,0.00007505239,0.0045437105,0.9544497,0.01563079,0.00012818241,0.015083953],"study_design_scores_gemma":[0.00021767111,0.00013007583,0.0016966439,0.0006256886,0.00001155699,0.0000064554965,0.0000032160171,0.99127525,0.0031957258,0.0025382626,0.00013189741,0.00016753287],"about_ca_topic_score_codex":0.000012660314,"about_ca_topic_score_gemma":0.0000029919377,"teacher_disagreement_score":0.9867316,"about_ca_system_score_codex":0.000013225221,"about_ca_system_score_gemma":0.0000051563898,"threshold_uncertainty_score":0.3256033},"labels":[],"label_agreement":null},{"id":"W2969717242","doi":"10.1152/jn.00456.2019","title":"LFP clustering in cortex reveals a taxonomy of Up states and near-millisecond, ordered phase-locking in cortical neurons","year":2019,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of British Columbia","funders":"Canadian Institutes of Health Research; Government of Canada","keywords":"Local field potential; Neuroscience; Electrophysiology; Cortex (anatomy); Bursting; Cerebral cortex; Physics; Chemistry; Biology","score_opus":0.03222216178401703,"score_gpt":0.27386871888034714,"score_spread":0.2416465570963301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969717242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988871,0.00001118583,0.000048702925,0.00014365281,0.00065366784,0.00020958923,0.000007911778,0.0000035859325,0.000034581753],"genre_scores_gemma":[0.99908465,0.00017116842,0.0000657525,0.00060315884,0.00003111336,0.0000025737083,7.9117274e-7,0.00001306959,0.00002771171],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984034,0.00029652964,0.0006697301,0.00026135548,0.00012132854,0.00024770963],"domain_scores_gemma":[0.9987678,0.00058074965,0.00040589328,0.0001354739,0.000044176162,0.0000658948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009131205,0.00013072476,0.00044949556,0.00020545766,0.000032127336,0.00002358877,0.00016576324,0.000053116026,0.000032075608],"category_scores_gemma":[0.00034868266,0.00011226559,0.0000619803,0.00025111955,0.00012399268,0.0001854937,0.000102494356,0.00047285686,0.0000034070497],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049170235,0.00010773496,0.0032604185,0.000036227815,0.0000024652911,0.00011980792,0.00005761819,0.003962288,0.9905435,0.000035499925,0.000005912254,0.0013768382],"study_design_scores_gemma":[0.009372798,0.0074783685,0.6744722,0.000242832,0.000025754896,0.0010053416,0.00018099826,0.2924826,0.011846588,0.0012907687,0.0011574299,0.00044429942],"about_ca_topic_score_codex":0.00002019786,"about_ca_topic_score_gemma":0.000011848226,"teacher_disagreement_score":0.9786969,"about_ca_system_score_codex":0.000020292244,"about_ca_system_score_gemma":0.00004158882,"threshold_uncertainty_score":0.45780578},"labels":[],"label_agreement":null},{"id":"W2970096889","doi":"10.32470/ccn.2019.1172-0","title":"Do sleep and anesthesia share common multifractal EEG dynamics? Insights from adversarial domain adaptation","year":2019,"lang":"en","type":"article","venue":"2019 Conference on Cognitive Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université de Montréal","funders":"","keywords":"Multifractal system; Electroencephalography; Sleep (system call); Adversarial system; Computer science; Adaptation (eye); Domain (mathematical analysis); Artificial intelligence; Psychology; Neuroscience; Mathematics; Fractal","score_opus":0.03216981166988397,"score_gpt":0.2628193644557378,"score_spread":0.2306495527858538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2970096889","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9861299,0.000008568787,0.009887304,0.0010153253,0.00071724376,0.00067660474,0.00030092936,0.0000935013,0.0011706549],"genre_scores_gemma":[0.9957885,0.000023828854,0.00031746415,0.0034351824,0.000051680985,0.000018785406,0.00021070075,0.000025286387,0.00012856902],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99697906,0.00030081643,0.0003566478,0.0012363974,0.0008030558,0.00032404144],"domain_scores_gemma":[0.99755186,0.0015596759,0.00029171168,0.0001925854,0.000231046,0.0001731235],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00010793852,0.0003299682,0.00028051966,0.00020949301,0.00036552703,0.0003942222,0.00033938,0.00010294516,0.0000882848],"category_scores_gemma":[0.00036842734,0.0003108035,0.00006746772,0.00040258103,0.00035939176,0.0007808278,0.00012940165,0.00036042978,0.00030756067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026761089,0.0012695296,0.015144435,0.00008562428,0.000022288401,0.00046527415,0.0028338234,0.036785442,0.5203936,0.3106034,0.0001662934,0.10955413],"study_design_scores_gemma":[0.0012278662,0.00047772063,0.083794534,0.000108278145,0.00000883062,0.00004462834,0.0002596928,0.887017,0.00088264147,0.025703272,0.000093955074,0.00038157438],"about_ca_topic_score_codex":0.000055097647,"about_ca_topic_score_gemma":0.000022307182,"teacher_disagreement_score":0.8502316,"about_ca_system_score_codex":0.00006555235,"about_ca_system_score_gemma":0.00010971034,"threshold_uncertainty_score":0.99993443},"labels":[],"label_agreement":null},{"id":"W2970454553","doi":"10.1016/j.stem.2019.08.002","title":"Complex Oscillatory Waves Emerging from Cortical Organoids Model Early Human Brain Network Development","year":2019,"lang":"en","type":"article","venue":"Cell stem cell","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":958,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Kavli Institute for Brain and Mind, University of California, San Diego; National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; University of California, San Diego; National Alliance for Research on Schizophrenia and Depression; National Institute of Mental Health; Whitehall Foundation; Foundation for the National Institutes of Health; Spectrum Pharmaceuticals; Simons Foundation Autism Research Initiative; School of Medicine, University of California, San Diego; California Institute for Regenerative Medicine; National Institutes of Health; National Science Foundation","keywords":"Organoid; Biology; Brain development; Human brain; Neuroscience; Brain waves; Electroencephalography","score_opus":0.031812380959517855,"score_gpt":0.23017619743449766,"score_spread":0.1983638164749798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2970454553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9822218,0.000029086941,0.001036345,0.00009615312,0.00055209215,0.00031247814,0.000010048604,0.00012944116,0.015612594],"genre_scores_gemma":[0.981062,0.0000039288793,0.0004345341,0.0011214827,0.00012290136,0.0000063410594,0.000019273462,0.0000511072,0.017178435],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99785537,0.00012480932,0.00039417218,0.0007032325,0.00039294543,0.00052948674],"domain_scores_gemma":[0.999055,0.00022564882,0.0001380861,0.0003829241,0.000029494837,0.00016883043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017215918,0.00025621054,0.00026427684,0.000053088297,0.0003962263,0.00010899243,0.00029687575,0.000108246255,0.0003487968],"category_scores_gemma":[0.000006018216,0.00024308222,0.00007854236,0.00020586334,0.00006073067,0.00013354221,0.00021147288,0.0002938081,0.0007671297],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016635153,0.00006255229,0.0024170398,0.000028141483,0.0000027547005,0.000008789373,0.00036548838,0.007119365,0.98755425,0.0006730126,0.0013842523,0.00036772797],"study_design_scores_gemma":[0.0018864011,0.00029025582,0.03110301,0.00006484348,0.00003076513,0.000003823967,0.00015863212,0.52403355,0.4207344,0.0022726075,0.018054876,0.0013668257],"about_ca_topic_score_codex":0.000015924363,"about_ca_topic_score_gemma":0.000008107087,"teacher_disagreement_score":0.56681985,"about_ca_system_score_codex":0.00008932607,"about_ca_system_score_gemma":0.000058644484,"threshold_uncertainty_score":0.9912605},"labels":[],"label_agreement":null},{"id":"W2970901415","doi":"10.1101/749309","title":"Visual looming and receding networks in awake marmosets investigated with fMRI","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research; National Institutes of Health; Canada First Research Excellence Fund","keywords":"Looming; Marmoset; Neuroscience; Psychology; Stimulus (psychology); Cognitive psychology; Biology","score_opus":0.016835917343633173,"score_gpt":0.21948759480698105,"score_spread":0.20265167746334786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2970901415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99626374,0.00014759865,0.0009636888,0.00023249618,0.0012900594,0.00080719776,0.000028376766,0.00025172514,0.000015094546],"genre_scores_gemma":[0.99806213,0.00026429293,0.00056973,0.00067509606,0.00021687475,0.00007192023,3.259185e-7,0.00013053034,0.00000911483],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99683744,0.00021223769,0.00046749253,0.0014687295,0.00036070525,0.0006533738],"domain_scores_gemma":[0.9984308,0.00021335171,0.00039103336,0.00060609414,0.00011031372,0.00024840212],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005083933,0.00056017423,0.00054751674,0.0003588332,0.00015450758,0.00036602552,0.00034522903,0.00047191832,0.00001028771],"category_scores_gemma":[0.00038660923,0.00053885847,0.000055547895,0.00079574704,0.00018628033,0.00026073225,0.00055007916,0.0012690754,0.000014286731],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062345614,0.00006799562,0.058615837,0.00023818403,0.000018217957,0.00015370398,0.000008746201,0.0038907179,0.9364884,0.0003913289,0.000055166653,0.000009347433],"study_design_scores_gemma":[0.0020946574,0.00028727428,0.28787154,0.0023409112,0.00009958502,3.9512966e-7,0.000006377145,0.37809992,0.3260796,0.000011047083,0.000836971,0.002271727],"about_ca_topic_score_codex":0.00005048144,"about_ca_topic_score_gemma":0.000007747654,"teacher_disagreement_score":0.6104088,"about_ca_system_score_codex":0.00019675388,"about_ca_system_score_gemma":0.00023487813,"threshold_uncertainty_score":0.99970627},"labels":[],"label_agreement":null},{"id":"W2971407990","doi":"10.3390/e22121334","title":"Integrated Information in the Spiking–Bursting Stochastic Model","year":2020,"lang":"en","type":"article","venue":"Entropy","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Medical Research Council; Ministry of Science and Higher Education of the Russian Federation; Medical Research Council Canada; Russian Foundation for Basic Research","keywords":"Bursting; Computer science; Sign (mathematics); Similarity (geometry); Mutual information; Measure (data warehouse); Statistical physics; Theoretical computer science; Convergence (economics); Mathematics; Artificial intelligence; Data mining; Physics; Neuroscience","score_opus":0.038772831787862824,"score_gpt":0.23999709855942872,"score_spread":0.2012242667715659,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971407990","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8214642,0.0000024529832,0.17027195,0.006964492,0.00014749079,0.00022629795,0.000007692501,0.00006668309,0.0008487641],"genre_scores_gemma":[0.9929529,0.0000010560059,0.00012849593,0.0068567004,0.000035341047,0.0000069347575,0.0000050950594,0.000003348499,0.000010124768],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946654,0.000040422583,0.00012839578,0.00009586811,0.00015033362,0.00011842917],"domain_scores_gemma":[0.99974823,0.00007639379,0.000047328478,0.00009222972,0.000010845042,0.000024983467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006292026,0.00005939992,0.000051302144,0.00003245645,0.000063453925,0.00007431296,0.00019599861,0.000018475255,0.000010541576],"category_scores_gemma":[0.0010144053,0.00003918404,0.000020684498,0.0002718391,0.000017273082,0.00027674247,0.00003236473,0.0001627398,0.000060186794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009623141,0.00003315927,0.00011420536,0.000016520844,0.0000013620703,0.000010026132,0.0043776785,0.63961035,0.28531408,0.06321115,0.0014359739,0.0057792664],"study_design_scores_gemma":[0.00016198454,0.00003670018,0.00008562911,0.0000052954856,0.0000017823548,0.0000026604437,0.00011556952,0.9966593,0.0011998222,0.0013716989,0.00031294994,0.00004660494],"about_ca_topic_score_codex":0.0000086863465,"about_ca_topic_score_gemma":0.0000011616636,"teacher_disagreement_score":0.35704896,"about_ca_system_score_codex":0.000018969247,"about_ca_system_score_gemma":0.000011579583,"threshold_uncertainty_score":0.15978788},"labels":[],"label_agreement":null},{"id":"W2971464184","doi":"10.3758/s13414-019-01846-w","title":"No one knows what attention is","year":2019,"lang":"en","type":"review","venue":"Attention Perception & Psychophysics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":597,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Dalhousie University; Université de Montréal; University of Alberta","funders":"China Scholarship Council; National Science Foundation","keywords":"Computer science; Construct (python library); Set (abstract data type); Focus (optics); Cognitive science; Selective attention; Unitary state; Point (geometry); Neural system; Term (time); Cognitive psychology; Artificial intelligence; Psychology; Cognition; Neuroscience; Mathematics; Political science","score_opus":0.10173975956631522,"score_gpt":0.3489623604821781,"score_spread":0.2472226009158629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971464184","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002916929,0.9173812,0.003481734,0.0009614738,0.0453778,0.008189647,0.00050851353,0.0012138081,0.019968854],"genre_scores_gemma":[0.00011219044,0.96717036,0.00008157337,0.0013676804,0.0013280668,0.00016648308,0.00070016185,0.0001652502,0.02890822],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9954264,0.00041924187,0.0010215748,0.0016916774,0.00088934647,0.0005517267],"domain_scores_gemma":[0.9974798,0.00013008795,0.0009150296,0.0011163572,0.00020463692,0.00015411279],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00022051585,0.0007765954,0.0013089029,0.00033406657,0.00031725477,0.0007153362,0.0005356183,0.0005476107,0.0015748932],"category_scores_gemma":[0.000039801806,0.0007414762,0.0015922966,0.0009251581,0.000118724296,0.0018364494,0.00012731622,0.00082418707,0.04472963],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016465758,0.0003325537,0.0000016184854,0.0039367313,0.000040747316,0.0000018193385,0.00002024619,7.582909e-7,0.012178042,0.0005687959,0.0046933866,0.97820884],"study_design_scores_gemma":[0.00043265545,0.00019919948,0.00009616931,0.0071647693,0.000604764,0.000024671355,0.000030550345,0.00037850128,0.0000038068704,0.000471794,0.9897236,0.0008695026],"about_ca_topic_score_codex":0.0000072083585,"about_ca_topic_score_gemma":0.0000010041189,"teacher_disagreement_score":0.98503023,"about_ca_system_score_codex":0.00028693676,"about_ca_system_score_gemma":0.00007323268,"threshold_uncertainty_score":0.9995036},"labels":[],"label_agreement":null},{"id":"W2971670396","doi":"10.1109/nssmic.2018.8824457","title":"Denoising and DA release: effect of denoising on the ability to identify voxel-level neurophysiological response","year":2018,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Voxel; Noise reduction; Neurophysiology; Neurotransmitter; Parametric statistics; Computer science; Noise (video); Dopamine; Artificial intelligence; Pattern recognition (psychology); Neuroscience; Mathematics; Psychology; Central nervous system; Statistics","score_opus":0.06077022944521452,"score_gpt":0.3278026326447714,"score_spread":0.26703240319955684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971670396","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976038,0.0000019738068,0.00033856876,0.0012318795,0.00023933247,0.00033463578,0.000006724195,0.000044411507,0.00019870127],"genre_scores_gemma":[0.9977998,0.0000020374948,0.00003483081,0.0019184928,0.000059304784,0.000005373541,2.4701473e-7,0.000010947667,0.00016892307],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99785167,0.0010392645,0.00019388256,0.0004729155,0.00023778863,0.00020446634],"domain_scores_gemma":[0.99593526,0.0035095555,0.000064094565,0.00037432578,0.000040646326,0.000076115524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008309711,0.00013805898,0.00015926192,0.000058168658,0.00028807804,0.000086801825,0.00019123571,0.00004631473,0.000046597852],"category_scores_gemma":[0.005889893,0.00007525958,0.000053152366,0.0002986451,0.00030119295,0.000081807775,0.0001721771,0.00014733449,0.0000529272],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018698936,0.000024068231,0.00022069509,0.000010171426,9.0580625e-7,0.0000056903127,0.000030192688,0.000016926302,0.9936911,0.00065538153,0.000113513466,0.0033614743],"study_design_scores_gemma":[0.00018843346,0.0025664533,0.22765122,0.000026694177,0.0000072646035,0.000014071675,0.0000072451,0.0011839885,0.76758665,0.000504976,0.00015550881,0.00010748092],"about_ca_topic_score_codex":0.000025816249,"about_ca_topic_score_gemma":0.000003844692,"teacher_disagreement_score":0.22743052,"about_ca_system_score_codex":0.000022725446,"about_ca_system_score_gemma":0.000010369962,"threshold_uncertainty_score":0.70511776},"labels":[],"label_agreement":null},{"id":"W2972145271","doi":"10.1101/759233","title":"Ultra-low frequency neural entrainment to pain","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Entrainment (biomusicology); Sensory system; Stimulus modality; Computer science; Neuroscience; Modalities; Rhythm; Physics; Psychology; Acoustics","score_opus":0.015750438564092743,"score_gpt":0.2151654101944721,"score_spread":0.19941497163037936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972145271","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98602486,0.000084761,0.003615262,0.001485416,0.00570756,0.0019677528,0.00041974627,0.00062046194,0.000074206386],"genre_scores_gemma":[0.9915436,0.000071473456,0.00072089134,0.0066940947,0.0005350774,0.0002443074,3.93789e-7,0.0001649815,0.000025162399],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99514973,0.00051977043,0.00064426416,0.0019441056,0.00077815796,0.00096397806],"domain_scores_gemma":[0.99697554,0.00030401128,0.00037433236,0.0016754322,0.00017552968,0.00049514906],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009285889,0.00075321307,0.00060104736,0.00032782482,0.00021516897,0.0004255213,0.0010217713,0.00044578334,0.00012162087],"category_scores_gemma":[0.001331875,0.000770764,0.00025880433,0.0006406763,0.00009603353,0.00020401347,0.00040391186,0.0010304466,0.00047871642],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023562774,0.00013364054,0.0013455678,0.00022581806,0.000017254168,0.00008353688,0.000009031159,0.0007077343,0.99577576,0.0011025215,0.00056562433,0.00000993065],"study_design_scores_gemma":[0.00050749397,0.00028605424,0.016963884,0.00039188753,0.00005256294,5.5622248e-8,0.000002278907,0.008278362,0.96802807,0.000017028624,0.003912661,0.0015596681],"about_ca_topic_score_codex":0.000038484533,"about_ca_topic_score_gemma":0.0000017818613,"teacher_disagreement_score":0.027747717,"about_ca_system_score_codex":0.0004446245,"about_ca_system_score_gemma":0.000298465,"threshold_uncertainty_score":0.99947435},"labels":[],"label_agreement":null},{"id":"W2972455873","doi":"10.1101/766758","title":"Learning long temporal sequences in spiking networks by multiplexing neural oscillations","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Context (archaeology); Biological neural network; Spiking neural network; Artificial neural network; Artificial intelligence; Reservoir computing; Recurrent neural network; Neuroscience; Machine learning; Psychology","score_opus":0.02130783400525488,"score_gpt":0.23264841616204757,"score_spread":0.2113405821567927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972455873","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899848,0.00028841614,0.004533401,0.00024106522,0.0035340437,0.00086594693,0.00007163033,0.00046150628,0.000019171886],"genre_scores_gemma":[0.99854714,0.00017679532,0.00033167153,0.00034209495,0.00035723214,0.000080110585,0.000001610485,0.00013196288,0.00003138729],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9959169,0.00042446726,0.00071823085,0.0015757062,0.00051644107,0.0008482544],"domain_scores_gemma":[0.9979816,0.00033713353,0.0006381941,0.00072099245,0.0001300679,0.00019197723],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006395808,0.00061821745,0.00057910633,0.00039300445,0.00036507804,0.00056511525,0.00063520786,0.0005234378,0.000024982199],"category_scores_gemma":[0.00074227323,0.0006678834,0.00017441042,0.00091213174,0.00015362227,0.00045896892,0.00059425423,0.0020740707,0.000032764667],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021538146,0.000051533454,0.15400161,0.000105632455,0.000009879957,0.00007414745,0.000009984665,0.24267907,0.60285586,0.00012211326,0.00005950311,0.0000090915855],"study_design_scores_gemma":[0.0005624384,0.000094582465,0.06362625,0.0004912021,0.000026080668,9.465918e-8,0.0000053662366,0.8907709,0.0421357,0.0000033631693,0.0011175509,0.0011664332],"about_ca_topic_score_codex":0.00020304117,"about_ca_topic_score_gemma":0.000019580088,"teacher_disagreement_score":0.64809185,"about_ca_system_score_codex":0.00035165605,"about_ca_system_score_gemma":0.00020262136,"threshold_uncertainty_score":0.9995772},"labels":[],"label_agreement":null},{"id":"W2972856523","doi":"","title":"The influence of anticipation on power modulations in the beta-band during movement planning and The effect of variance in sensory feedback on short-term retention","year":2019,"lang":"en","type":"article","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Anticipation (artificial intelligence); Term (time); Movement (music); Variance (accounting); Sensory system; Psychology; Power (physics); Cognitive psychology; Computer science; Artificial intelligence; Economics; Physics","score_opus":0.013131806046835157,"score_gpt":0.21879988992665172,"score_spread":0.20566808387981655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972856523","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99776244,0.00007220628,0.000112683105,0.00011937692,0.000109126006,0.0005078145,0.0000047582425,0.0000031550373,0.0013084124],"genre_scores_gemma":[0.99984646,0.000039441078,0.000008153734,0.000014065669,0.000004546137,9.255151e-7,8.540636e-7,0.0000027734015,0.000082792474],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99898636,0.00028228445,0.00020542294,0.0001647278,0.0002670444,0.00009417511],"domain_scores_gemma":[0.9991309,0.00048129808,0.000120561876,0.00022053476,0.000035848818,0.000010853598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040085905,0.00009052164,0.00015194945,0.00008041876,0.0002425742,0.000009463644,0.00027668616,0.000041122872,0.0000012956151],"category_scores_gemma":[0.00009502337,0.00005078595,0.000076852295,0.00021943955,0.00042832727,0.0001269331,0.00006736722,0.00014603046,0.000001052741],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009029975,0.000078735175,0.07807488,0.00029109928,0.000012832089,0.0000017072148,0.001740026,0.38052136,0.5288627,0.009406587,0.000001782151,0.00010529072],"study_design_scores_gemma":[0.0009429775,0.0001697501,0.83919126,0.0009779149,0.000019953086,0.0000022390911,0.000051526462,0.017693594,0.14076069,0.00013557836,0.000007226853,0.000047300036],"about_ca_topic_score_codex":0.000099726465,"about_ca_topic_score_gemma":0.00027209343,"teacher_disagreement_score":0.7611164,"about_ca_system_score_codex":0.000117972784,"about_ca_system_score_gemma":0.000015559852,"threshold_uncertainty_score":0.2070991},"labels":[],"label_agreement":null},{"id":"W2973265967","doi":"10.1101/584185","title":"Integrated Open-Source Software for Multiscale Electrophysiology","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Transparency (behavior); Open science; Computer science; Sophistication; Software; Data sharing; Data science; Open data; Standardization; Neurophysiology; Open source; Human–computer interaction; World Wide Web; Neuroscience; Computer security; Psychology","score_opus":0.0229708441827288,"score_gpt":0.2399434816327601,"score_spread":0.2169726374500313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973265967","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9429122,0.00010313724,0.04808048,0.00030843908,0.0036964845,0.003339438,0.00080682203,0.0007437547,0.00000920211],"genre_scores_gemma":[0.9911656,0.000095637326,0.00595378,0.0014314357,0.00033984336,0.00061216217,0.0000021715407,0.00023220741,0.00016720044],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9963846,0.00023412594,0.0005080585,0.0018348864,0.00025882004,0.00077948236],"domain_scores_gemma":[0.99714893,0.00039306903,0.0004908125,0.0013376707,0.0004356565,0.00019386389],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030228557,0.0006290939,0.0007405598,0.00021369547,0.00028562723,0.0004715863,0.0015499854,0.0006095303,0.000042321873],"category_scores_gemma":[0.0015927253,0.0006051836,0.00020140593,0.000562778,0.00013859234,0.00023418438,0.0012539845,0.0009713874,0.0001504026],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016046625,0.00013745237,0.0002368712,0.00019201254,0.000027077273,0.000009865232,0.0000022398951,0.0005384599,0.99685585,0.0006582223,0.0011650993,0.0000163831],"study_design_scores_gemma":[0.0012632614,0.00041870697,0.0048975158,0.00023717152,0.00007512795,4.6459775e-8,0.0000010974652,0.023772951,0.9240717,0.000029102881,0.04401371,0.0012195536],"about_ca_topic_score_codex":0.00007055988,"about_ca_topic_score_gemma":0.0000030262852,"teacher_disagreement_score":0.072784096,"about_ca_system_score_codex":0.00026871072,"about_ca_system_score_gemma":0.000533332,"threshold_uncertainty_score":0.9996399},"labels":[],"label_agreement":null},{"id":"W2973464081","doi":"10.1162/neco_a_01229","title":"Capturing the Forest but Missing the Trees: Microstates Inadequate for Characterizing Shorter-Scale EEG Dynamics","year":2019,"lang":"en","type":"letter","venue":"Neural Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vector Institute; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ministate; Electroencephalography; Cluster analysis; Artificial intelligence; Computer science; Pattern recognition (psychology); Neuroscience; Psychology; Statistical physics; Physics","score_opus":0.03221077976661417,"score_gpt":0.2550156423454562,"score_spread":0.22280486257884202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973464081","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48760775,0.000024410363,0.00922957,0.4976547,0.003245414,0.0017443328,0.0002702716,0.00014329665,0.00008025003],"genre_scores_gemma":[0.67065144,0.000013166402,0.00008915417,0.3255957,0.0013831609,0.000081896986,0.0008985387,0.0001173323,0.0011696211],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99745464,0.00027271322,0.0005041726,0.0007601381,0.00041850554,0.00058981637],"domain_scores_gemma":[0.99697304,0.0019895749,0.0005242225,0.00038888652,0.00009241648,0.00003187273],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002258879,0.00045156828,0.00034509707,0.00011832478,0.00083430624,0.0007877737,0.0005742357,0.00027963804,0.0000029896223],"category_scores_gemma":[0.0001365993,0.00028075496,0.0002679684,0.00021479277,0.00016202737,0.00032241782,0.00012895404,0.0012902223,0.000020263824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048136574,0.000121142744,0.00083717046,0.0014825043,0.000106520536,0.00023446356,0.0031643666,0.035370152,0.50614876,0.00032904092,0.2370284,0.21469614],"study_design_scores_gemma":[0.0003472892,0.00016549925,0.0017524255,0.00010115319,0.00007146147,0.00011368957,0.00006917545,0.9654875,0.0023496256,0.0015121144,0.027582062,0.00044801156],"about_ca_topic_score_codex":0.000081567094,"about_ca_topic_score_gemma":0.00010927348,"teacher_disagreement_score":0.93011737,"about_ca_system_score_codex":0.00016982872,"about_ca_system_score_gemma":0.00004419666,"threshold_uncertainty_score":0.9999645},"labels":[],"label_agreement":null},{"id":"W2973493523","doi":"10.1167/19.10.69d","title":"Similarities in response non-linearities in macaque lateral prefrontal cortex visual neurons during in vivo and in vitro experiments. Implications for normalization models.","year":2019,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Robarts Clinical Trials; Western University","funders":"","keywords":"Receptive field; Sigmoid function; Macaque; Neuroscience; Stimulus (psychology); Neuron; Visual cortex; Normalization (sociology); Surround suppression; Electrophysiology; Biological system; Physics; Psychology; Computer science; Biology; Visual perception; Artificial neural network; Artificial intelligence; Perception","score_opus":0.02130980438894222,"score_gpt":0.30404691238587506,"score_spread":0.28273710799693286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973493523","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990163,0.000020265987,0.00014157833,0.00030678502,0.00014981971,0.00032333084,0.0000151919,0.000003799985,0.00002292904],"genre_scores_gemma":[0.99956685,0.0000787559,0.0001060866,0.00012624104,0.000018268709,0.000011945138,0.000002147698,0.00001288571,0.00007680529],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989228,0.00011678896,0.0004685859,0.00018579465,0.00012655104,0.00017943121],"domain_scores_gemma":[0.99955636,0.00017118813,0.00014183341,0.00006932148,0.000027317976,0.000034004173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025077612,0.00009866423,0.00018714764,0.00052840967,0.000037268914,0.000055183882,0.00008509904,0.000062221625,0.0000037725458],"category_scores_gemma":[0.000087014894,0.00009451854,0.00003344457,0.00019914593,0.000024253706,0.0008130807,0.0000518289,0.00019798831,2.4227336e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033172257,0.00014266993,0.012173334,0.000024056946,5.013368e-7,0.000014261056,0.0005362366,0.007914476,0.9757201,0.000039732946,0.0000027432627,0.00011462513],"study_design_scores_gemma":[0.0023414968,0.00036280396,0.61772597,0.00013843157,0.0000014040176,0.000046849324,0.00015313749,0.30111304,0.07756648,0.00043941097,0.000008249186,0.0001027019],"about_ca_topic_score_codex":0.000039593393,"about_ca_topic_score_gemma":0.00009568851,"teacher_disagreement_score":0.89815366,"about_ca_system_score_codex":0.0001373482,"about_ca_system_score_gemma":0.00003869834,"threshold_uncertainty_score":0.38543543},"labels":[],"label_agreement":null},{"id":"W2973630597","doi":"10.1523/jneurosci.0696-19.2019","title":"A Sound-Sensitive Source of Alpha Oscillations in Human Non-Primary Auditory Cortex","year":2019,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Center for Research Resources; National Institute on Deafness and Other Communication Disorders; Canadian Institutes of Health Research; National Institutes of Health; Canada First Research Excellence Fund","keywords":"Auditory cortex; Neuroscience; Stimulus (psychology); Temporal lobe; Electroencephalography; Psychology; Local field potential; Sensory system; Temporal cortex; Stimulation; Visual cortex; Epilepsy; Cognitive psychology","score_opus":0.02050100692449085,"score_gpt":0.2632008050236204,"score_spread":0.24269979809912956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973630597","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951855,0.0000040165796,0.0009038279,0.00018741634,0.0020004837,0.00015379196,0.000004149324,0.000008568425,0.0015522727],"genre_scores_gemma":[0.99795514,0.000018257706,0.00004249734,0.001076081,0.00010836035,6.6413764e-7,2.121924e-7,0.00001237364,0.0007864296],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9980796,0.00012564888,0.0005618151,0.00031248896,0.0006672407,0.00025321188],"domain_scores_gemma":[0.9985813,0.00030038465,0.00068569847,0.00021737194,0.00011937538,0.00009588937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041028342,0.00013047502,0.000290604,0.00038056693,0.000120947196,0.000048682065,0.00038449818,0.000046769987,0.000012473626],"category_scores_gemma":[0.0004237915,0.00011297717,0.00012534247,0.0007368021,0.0002538454,0.0005560628,0.00009966149,0.0003609505,0.000011041595],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030932108,0.00009366302,0.003994266,0.000012595889,5.319521e-7,0.00004562312,0.00011171373,0.0022221336,0.9929953,0.00019146166,0.00009854029,0.00020324063],"study_design_scores_gemma":[0.0012616795,0.0014928549,0.9050843,0.00013385444,0.0000139658705,0.0006035325,0.00011056122,0.019160718,0.069309704,0.0011306787,0.0013941348,0.0003040069],"about_ca_topic_score_codex":0.000009784663,"about_ca_topic_score_gemma":0.0000037995128,"teacher_disagreement_score":0.9236856,"about_ca_system_score_codex":0.00008043697,"about_ca_system_score_gemma":0.00011733223,"threshold_uncertainty_score":0.46070752},"labels":[],"label_agreement":null},{"id":"W2973924785","doi":"10.1167/19.10.133a","title":"Laminar organization of the superior colliculus priority map","year":2019,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Salience (neuroscience); Superior colliculus; Neuroscience; Microstimulation; Saccade; Salient; Oddball paradigm; Midbrain; Gaze; Fixation (population genetics); Stimulus (psychology); Psychology; Eye movement; Computer science; Cognitive psychology; Cognition; Artificial intelligence; Biology; Event-related potential","score_opus":0.008380798650097386,"score_gpt":0.2411548225741561,"score_spread":0.23277402392405872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973924785","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99751353,0.000008278111,0.00006361189,0.00092306954,0.0012448506,0.00009862251,0.0000018698005,0.0000035824262,0.00014258348],"genre_scores_gemma":[0.9989074,0.000023885967,0.000045439752,0.00015755727,0.000054535954,6.539885e-8,1.6355136e-7,0.0000065532813,0.00080440205],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992495,0.00007498106,0.0002286984,0.00007561642,0.00030624933,0.000064932385],"domain_scores_gemma":[0.99935114,0.00006922083,0.00028660032,0.00012101153,0.0001478291,0.000024171213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017985338,0.000048827103,0.0001058672,0.00004238605,0.00004735584,0.000022933982,0.00017133376,0.000034472916,0.00007260846],"category_scores_gemma":[0.00028716272,0.000028052542,0.00005798272,0.0002901932,0.000025079058,0.00018566294,0.00005310273,0.00011831222,0.000018343982],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019628029,0.00004726302,0.009660279,0.000013361646,0.000001006741,0.0000022506308,0.000057002362,0.00008980482,0.9885521,0.00028252814,0.00022878245,0.0010459869],"study_design_scores_gemma":[0.0007211261,0.0007395774,0.34638116,0.00013806694,0.00001682039,0.0001484435,0.000055676246,0.0026156593,0.64137816,0.00022551909,0.0074903066,0.00008948305],"about_ca_topic_score_codex":0.000001388137,"about_ca_topic_score_gemma":5.7150277e-7,"teacher_disagreement_score":0.34717396,"about_ca_system_score_codex":0.000033524542,"about_ca_system_score_gemma":0.00003962656,"threshold_uncertainty_score":0.11439495},"labels":[],"label_agreement":null},{"id":"W2974263284","doi":"10.1167/19.10.273a","title":"Neural correlates of target enhancement","year":2019,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"","keywords":"Vernier scale; Stimulus (psychology); Psychology; Amplitude; Event-related potential; Vernier acuity; Audiology; Electroencephalography; Cognitive psychology; Neuroscience; Optics; Physics; Medicine","score_opus":0.012823360334825505,"score_gpt":0.26732629838321137,"score_spread":0.25450293804838586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2974263284","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971513,0.000041312473,0.00032501426,0.00027595015,0.0015410087,0.000059685488,0.0000010656415,0.0000028978502,0.00060177327],"genre_scores_gemma":[0.99907565,0.00005072476,0.00017103368,0.00016649219,0.00004560537,1.2006558e-7,2.462812e-7,0.000005037867,0.00048506385],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99920243,0.00004174348,0.0002965894,0.00008248425,0.00029138423,0.000085367676],"domain_scores_gemma":[0.99934715,0.00010524377,0.00036809838,0.0000821809,0.00006150318,0.000035825342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017035531,0.000055119403,0.00013404082,0.00007684024,0.000022228543,0.000013738073,0.00011597473,0.00002564797,0.00022621852],"category_scores_gemma":[0.00009946337,0.000037879418,0.00008304172,0.00010333324,0.000017995062,0.00020623175,0.000030414532,0.00013207566,0.000031509764],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000100791774,0.00009605772,0.0017907298,0.000009813182,0.0000017206171,0.000006738378,0.00002468658,0.0006470069,0.994006,0.00022677338,0.0004085738,0.002681138],"study_design_scores_gemma":[0.0013512829,0.00634295,0.037838206,0.00019496965,0.000016812215,0.00017865919,0.00004226356,0.080052316,0.86742634,0.0019790027,0.0044105942,0.0001665829],"about_ca_topic_score_codex":7.20598e-7,"about_ca_topic_score_gemma":7.181012e-8,"teacher_disagreement_score":0.12657961,"about_ca_system_score_codex":0.000016609067,"about_ca_system_score_gemma":0.000013409704,"threshold_uncertainty_score":0.24769342},"labels":[],"label_agreement":null},{"id":"W2974590445","doi":"10.1016/j.pneurobio.2019.101693","title":"Thalamocortical processing of the head-direction sense","year":2019,"lang":"en","type":"review","venue":"Progress in Neurobiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Consejo Nacional de Ciencia y Tecnología; International Development Research Centre; Wellcome Trust","keywords":"Neuroscience; Thalamus; Sensory system; Somatosensory system; Nucleus; Psychology; Subiculum; Cortex (anatomy); Central nervous system","score_opus":0.09384633783022807,"score_gpt":0.36843835838753514,"score_spread":0.2745920205573071,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2974590445","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005200264,0.9898595,0.0000031358009,0.000119776625,0.002715656,0.0015850073,0.000021990594,0.00006604778,0.0004285767],"genre_scores_gemma":[0.017675297,0.98169124,0.000011894478,0.0001394752,0.00009281592,0.00012057973,0.0000070275933,0.000048886777,0.0002127597],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975057,0.000823269,0.0005779749,0.0006467754,0.000121743346,0.00032449246],"domain_scores_gemma":[0.9986627,0.00038270254,0.00051416084,0.00038969336,0.00002483806,0.000025895739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015897384,0.0002776363,0.00088728615,0.00015077033,0.00006243721,0.000022426178,0.0003290803,0.00028976257,0.000007980008],"category_scores_gemma":[0.0002744945,0.0001638543,0.00026259045,0.0006320293,0.00037119124,0.000053825548,0.00023707144,0.0006627914,0.000018603487],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011970612,0.000087835855,0.0003046194,0.0045104143,0.0000029728187,0.000012821929,0.000008146175,0.0000024903316,0.00020569103,0.00037762648,0.00001148481,0.9944639],"study_design_scores_gemma":[0.0004778589,0.0005100735,0.0009152801,0.011127067,0.00027680554,0.0014424102,0.0000027108756,0.0012407949,0.0008505915,0.00030838474,0.98212576,0.00072225963],"about_ca_topic_score_codex":0.000001513738,"about_ca_topic_score_gemma":0.000004043751,"teacher_disagreement_score":0.9937417,"about_ca_system_score_codex":0.000043561122,"about_ca_system_score_gemma":0.0001214761,"threshold_uncertainty_score":0.66817844},"labels":[],"label_agreement":null},{"id":"W2974631576","doi":"10.1167/19.10.272b","title":"Select, response, repeat: Electrophysiological measures of location and response repetition","year":2019,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Repetition priming; Priming (agriculture); Response priming; Psychology; Repetition (rhetorical device); Negative priming; Covert; Fixation (population genetics); Electrophysiology; Cognitive psychology; Visual search; Communication; CLARITY; Audiology; Computer science; Speech recognition; Neuroscience; Cognition; Selective attention; Lexical decision task; Biology","score_opus":0.02015191790763513,"score_gpt":0.2721650234578793,"score_spread":0.25201310555024414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2974631576","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99865866,0.00005395454,0.00032981363,0.0006313231,0.00018071641,0.0000943726,0.0000011150898,0.000008330816,0.00004170153],"genre_scores_gemma":[0.9993314,0.00016030639,0.00011809874,0.00016100539,0.00003937186,4.3545808e-7,3.4355253e-7,0.0000068452537,0.00018217093],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99834013,0.0006893737,0.00035355618,0.00017039664,0.00034050795,0.00010601767],"domain_scores_gemma":[0.9985532,0.00063515705,0.00041512575,0.0001338923,0.00021621345,0.00004637815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001291593,0.00007745308,0.00017517105,0.00017100603,0.000051060622,0.000022526823,0.0000903547,0.000062613544,0.000017002176],"category_scores_gemma":[0.0022564307,0.0000548685,0.00005957902,0.00027492474,0.000043975477,0.00022044584,0.000024988703,0.0001881491,0.0000063438747],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.027049491,0.00005601119,0.0000978711,0.0000105108,0.0000020644293,0.0000093912295,0.000031331572,0.00013670581,0.9704493,0.000166713,0.00010670816,0.0018838756],"study_design_scores_gemma":[0.00090584636,0.011857949,0.2918964,0.00018139329,0.000014878225,0.00043053253,0.000026369224,0.002885788,0.68910116,0.0016093024,0.00096610805,0.00012429248],"about_ca_topic_score_codex":0.0000010987476,"about_ca_topic_score_gemma":2.66306e-7,"teacher_disagreement_score":0.29179853,"about_ca_system_score_codex":0.000050869094,"about_ca_system_score_gemma":0.0000629982,"threshold_uncertainty_score":0.27013215},"labels":[],"label_agreement":null},{"id":"W2975978515","doi":"10.1038/s41598-019-50369-9","title":"Voluntary Generation of Hyperchaotic Visuo-Motor Patterns","year":2019,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Canadian Institute for Advanced Research","keywords":"Predictability; Randomness; Computer science; Chaotic; Cognitive psychology; Repertoire; Psychology; Task (project management); Neuroscience; Artificial intelligence; Mathematics; Physics","score_opus":0.034419603006340914,"score_gpt":0.2471314951320112,"score_spread":0.21271189212567027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2975978515","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98411953,0.000006395709,0.00015960594,0.00007567907,0.014666454,0.00029697418,0.000006069468,0.000035651767,0.00063362793],"genre_scores_gemma":[0.9918966,0.000002106761,0.000046485016,0.000115159615,0.0000802897,0.000005501298,0.00002551188,0.000010754918,0.007817557],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99833757,0.00004822498,0.000346875,0.00063307636,0.00045342153,0.00018081353],"domain_scores_gemma":[0.9990509,0.000034860175,0.00021824236,0.00057562377,0.000065826964,0.000054515272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004406809,0.00008955162,0.00012280027,0.00013260031,0.0001150729,0.000099598954,0.00010117017,0.000037304515,0.00033921652],"category_scores_gemma":[0.00014630237,0.00007674264,0.000077522986,0.00027182253,0.000077617486,0.00023127311,0.000058369613,0.00007130597,0.0000899097],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000038337193,0.00003723895,0.014446961,0.000020163245,0.0000010654966,0.000043774693,0.000041632295,0.000107728825,0.98357785,0.00011238743,0.0007359113,0.00087143335],"study_design_scores_gemma":[0.00012641946,0.00012995473,0.012765992,0.000028603705,0.000009597164,0.0002565387,0.000021568481,0.029101668,0.95113444,0.0013597703,0.004876295,0.00018911916],"about_ca_topic_score_codex":0.00002856007,"about_ca_topic_score_gemma":0.000012805606,"teacher_disagreement_score":0.032443397,"about_ca_system_score_codex":0.00002821179,"about_ca_system_score_gemma":0.00004498921,"threshold_uncertainty_score":0.37141833},"labels":[],"label_agreement":null},{"id":"W2976922864","doi":"10.1103/physreve.102.052202","title":"Spike-phase coupling as an order parameter in a leaky integrate-and-fire model","year":2020,"lang":"en","type":"article","venue":"Physical review. E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Universität Bremen; Institute for Research in Fundamental Sciences; Université de Montréal; Isfahan University of Technology","keywords":"Critical point (mathematics); Statistical physics; Scaling; Phase transition; Criticality; Critical exponent; Physics; Coupling (piping); Transition point; Population; Topology (electrical circuits); Mathematics; Condensed matter physics; Mathematical analysis; Mechanics; Engineering; Combinatorics; Geometry","score_opus":0.07372440507462714,"score_gpt":0.37603994467443375,"score_spread":0.3023155395998066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2976922864","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954225,0.0002472747,0.0007717281,0.0030009071,0.000037119662,0.0003004746,0.0000058907453,0.000044514964,0.00016960388],"genre_scores_gemma":[0.9852966,0.0017727016,0.000091916554,0.012700384,0.00006273633,0.000028423194,0.000004698888,0.000017393304,0.000025128309],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989318,0.000045352645,0.00019960846,0.00046007286,0.00017194395,0.00019117352],"domain_scores_gemma":[0.9994842,0.00012508471,0.00005876279,0.00015743732,0.000022847325,0.00015171198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008183786,0.0001504863,0.00030403375,0.000015718508,0.000046837216,0.00004160262,0.00012852749,0.000022032078,0.00001376712],"category_scores_gemma":[0.0010086229,0.00011341531,0.00006802373,0.0003603205,0.00005158433,0.0002313339,0.000062520194,0.0002725818,0.00007832928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002324373,0.001197729,0.00014138101,0.0009804732,0.0000064653477,0.00008792459,0.00060435897,0.004800757,0.795833,0.052427642,0.00048325723,0.14320458],"study_design_scores_gemma":[0.00027542075,0.00027240487,0.000012376446,0.00016119944,0.000013466384,0.0000027238914,0.000005119064,0.98758966,0.0035782298,0.0072476487,0.0007003417,0.00014141048],"about_ca_topic_score_codex":0.000012932644,"about_ca_topic_score_gemma":0.0000022085296,"teacher_disagreement_score":0.9827889,"about_ca_system_score_codex":0.000014289015,"about_ca_system_score_gemma":0.000024081932,"threshold_uncertainty_score":0.46249422},"labels":[],"label_agreement":null},{"id":"W2976926308","doi":"10.1101/787218","title":"Spatiotemporal patterns of neocortical activity around hippocampal sharp-wave ripples","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; Advanced Research Projects Agency; Alberta Innovates; National Science Foundation","keywords":"Neocortex; Hippocampal formation; Neuroscience; Hippocampus; Memory consolidation; Psychology; Biology","score_opus":0.03567816757277786,"score_gpt":0.23712006043366526,"score_spread":0.2014418928608874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2976926308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99123484,0.00003492274,0.0038615754,0.00024820011,0.002586476,0.00095581,0.0008276563,0.00023314502,0.000017388316],"genre_scores_gemma":[0.9986933,0.00009179405,0.0003156594,0.00025031617,0.00043787254,0.00007438961,6.4227544e-7,0.00011976432,0.000016295267],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99625814,0.00028529714,0.0006313725,0.0014671221,0.00072938506,0.0006286556],"domain_scores_gemma":[0.99706304,0.00026441514,0.00076374866,0.0014353318,0.00022274967,0.0002507293],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00036806165,0.00062194344,0.0007670759,0.000270053,0.00013168299,0.000236222,0.00055571116,0.00057286,0.00008766794],"category_scores_gemma":[0.00052417774,0.0006297135,0.00029473274,0.00035858032,0.00017187963,0.00029882265,0.0007587163,0.0011071957,0.000073502866],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009901504,0.00025873247,0.024296882,0.00044500318,0.00003756874,0.00006529965,0.0000051753927,0.00016628229,0.97315955,0.0014084938,0.00004563797,0.000012351187],"study_design_scores_gemma":[0.0004878313,0.00015569528,0.24311446,0.00028935578,0.00007214641,7.188172e-8,0.0000014510815,0.015904576,0.73875386,0.000019260955,0.00043817415,0.00076313433],"about_ca_topic_score_codex":0.00016818926,"about_ca_topic_score_gemma":0.000007350489,"teacher_disagreement_score":0.23440571,"about_ca_system_score_codex":0.00023227758,"about_ca_system_score_gemma":0.00043616706,"threshold_uncertainty_score":0.99961543},"labels":[],"label_agreement":null},{"id":"W2977016756","doi":"10.1016/j.neuropsychologia.2019.107204","title":"Search asymmetry in a serial auditory task: Neural source analyses of EEG implicate attention strategies","year":2019,"lang":"en","type":"article","venue":"Neuropsychologia","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"P3b; P3a; Psychology; Electroencephalography; Neuroscience; Context (archaeology); Synchronization (alternating current); Feature (linguistics); Oddball paradigm; Event-related potential; Computer science; Biology","score_opus":0.051186138755183845,"score_gpt":0.3432238483841962,"score_spread":0.2920377096290123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2977016756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99503285,0.000008094965,0.00014605283,0.00020127208,0.0017525948,0.0003189471,0.000013959109,0.00008364979,0.002442608],"genre_scores_gemma":[0.99899966,0.000017399827,0.000021250566,0.0004243269,0.000106084844,0.000008510071,0.0000062108998,0.00002564772,0.00039090845],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9978713,0.00037410198,0.00037753815,0.00068354374,0.00032637702,0.00036713103],"domain_scores_gemma":[0.99908364,0.00018766828,0.00016836546,0.0004599081,0.000043374468,0.000057024623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020865306,0.00018775638,0.00025787484,0.0002774383,0.00005415825,0.000076274664,0.00037154774,0.00010537364,0.000072941475],"category_scores_gemma":[0.00011642087,0.00016336351,0.00011839955,0.00079116394,0.0001314739,0.00030699171,0.00011000241,0.00040898053,0.00013074421],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018999992,0.00012157371,0.01184632,0.000023983921,0.0000027681283,0.00001826452,0.000021578757,0.0021015743,0.98274636,0.00024716306,0.00017982733,0.002500556],"study_design_scores_gemma":[0.0011157611,0.00075510866,0.9497424,0.000016593323,0.00001031435,0.000048115788,0.00010175911,0.009307497,0.038203046,0.00021632217,0.00023551374,0.00024756463],"about_ca_topic_score_codex":0.00005204267,"about_ca_topic_score_gemma":0.000004434587,"teacher_disagreement_score":0.94454336,"about_ca_system_score_codex":0.000023536688,"about_ca_system_score_gemma":0.000026060947,"threshold_uncertainty_score":0.66617703},"labels":[],"label_agreement":null},{"id":"W2977381957","doi":"10.1162/neco_a_01292","title":"Inference of a Mesoscopic Population Model from Population Spike Trains","year":2020,"lang":"en","type":"preprint","venue":"Neural Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Markov chain Monte Carlo; Inference; Computer science; Population; Bayesian inference; Mesoscopic physics; Bayesian probability; Sampling (signal processing); Algorithm; Statistical physics; Artificial intelligence; Physics","score_opus":0.097743939744386,"score_gpt":0.3263051032254121,"score_spread":0.22856116348102612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2977381957","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93191814,0.000012174059,0.06531059,0.0006468638,0.0009813416,0.0005821407,0.00024898027,0.0001929465,0.00010684653],"genre_scores_gemma":[0.99587804,0.00001211218,0.0019163322,0.0004898326,0.00015942677,0.000030995823,0.0014560483,0.000038243536,0.000018968256],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99753416,0.00021024329,0.0006707284,0.0008424995,0.00054565823,0.00019668641],"domain_scores_gemma":[0.99863464,0.0002467443,0.00069024763,0.00025653545,0.000083024745,0.00008880756],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000069879854,0.00032095631,0.00044203573,0.00017097523,0.00010522408,0.00010704877,0.00026344138,0.00024231712,0.000015685173],"category_scores_gemma":[0.00037854828,0.00033257727,0.00016223709,0.00026624443,0.000035621022,0.00026889195,0.0002585656,0.00053711754,0.000008373134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006879074,0.000050995957,0.0022692732,0.00012882578,0.000006511289,0.000003941434,0.00025097592,0.9012997,0.07741393,0.0015219323,0.000037698323,0.016947422],"study_design_scores_gemma":[0.00024733055,0.00008001977,0.07988128,0.000070117596,0.000033830805,8.809822e-7,0.0000041389962,0.84277654,0.0023087168,0.07437366,0.000001505224,0.00022197588],"about_ca_topic_score_codex":0.0008129718,"about_ca_topic_score_gemma":0.00006032881,"teacher_disagreement_score":0.077612005,"about_ca_system_score_codex":0.000101003105,"about_ca_system_score_gemma":0.000045879377,"threshold_uncertainty_score":0.9999126},"labels":[],"label_agreement":null},{"id":"W2977736435","doi":"10.1101/791236","title":"Integration of eye-centered and landmark-centered codes in frontal eye field gaze responses","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Gaze; Eye movement; Psychology; Landmark; Saccade; Frontal eye fields; Neuroscience; Visual field; Computer vision; Artificial intelligence; Computer science","score_opus":0.026026906572789256,"score_gpt":0.2511938122966665,"score_spread":0.22516690572387724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2977736435","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965285,0.00015151894,0.0005775196,0.00029321757,0.0012895208,0.0007202866,0.0003321009,0.00008840376,0.00001891432],"genre_scores_gemma":[0.9987792,0.00035070415,0.000366979,0.00029260336,0.00008074902,0.000047516685,6.715143e-7,0.000048330534,0.000033272372],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976923,0.00030032618,0.0005299915,0.000863605,0.00028641179,0.00032737953],"domain_scores_gemma":[0.9984982,0.00026810766,0.00038606595,0.0006352501,0.00011427177,0.00009807366],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003754991,0.00036702843,0.0005059986,0.0003444929,0.000062116786,0.00014044416,0.0003317435,0.000347486,0.000025948586],"category_scores_gemma":[0.00090420066,0.00035918874,0.00009924472,0.00025892592,0.00009218794,0.0001925038,0.00036736275,0.0005871945,0.000010875202],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045248168,0.00012592463,0.03628771,0.00018970751,0.000011520232,0.000023111723,0.00001548919,0.000017985814,0.96254826,0.00024656203,0.00007277506,0.000008482092],"study_design_scores_gemma":[0.00092716416,0.0001885844,0.25744385,0.0007052971,0.000024848734,2.550675e-8,0.000005553396,0.004868924,0.735011,0.0000059523777,0.0004122524,0.00040655254],"about_ca_topic_score_codex":0.00010889012,"about_ca_topic_score_gemma":0.000028184682,"teacher_disagreement_score":0.22753726,"about_ca_system_score_codex":0.00012710414,"about_ca_system_score_gemma":0.00014381515,"threshold_uncertainty_score":0.99988604},"labels":[],"label_agreement":null},{"id":"W2977803677","doi":"10.48550/arxiv.1910.01689","title":"Spike-based causal inference for weight alignment","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Toronto","funders":"","keywords":"MNIST database; Gradient descent; Estimator; Inference; Computer science; Set (abstract data type); Algorithm; Artificial neural network; Stochastic gradient descent; Discontinuity (linguistics); Artificial intelligence; Mathematics","score_opus":0.09079044014530833,"score_gpt":0.21147665359759338,"score_spread":0.12068621345228504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2977803677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78882664,0.000006008356,0.2046291,0.00022564245,0.0024362695,0.0011267818,0.00021948505,0.00016607766,0.0023639817],"genre_scores_gemma":[0.9937937,0.000049626105,0.00008596209,0.0006415553,0.00010190444,0.000004590463,0.00005099115,0.000031144937,0.0052404995],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980344,0.00009742011,0.00017844795,0.0012059251,0.00011212406,0.00037167344],"domain_scores_gemma":[0.9984186,0.00041839943,0.00024178851,0.0007175719,0.00007896368,0.00012464057],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012501034,0.0003190284,0.000293069,0.00018041316,0.00014964383,0.00007178979,0.000612178,0.00025391197,0.00008213011],"category_scores_gemma":[0.00014142966,0.00033878317,0.0002409044,0.0002304244,0.00010236306,0.00012614133,0.00044591422,0.00036920691,0.00013295206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005003706,0.0003338008,0.0046584588,0.00041998876,0.0000394346,0.00019810442,0.000043405646,0.70765465,0.035443433,0.2488028,0.0014244284,0.00048110366],"study_design_scores_gemma":[0.0013292267,0.0002801527,0.00056176196,0.00011590642,0.00010919168,0.0000017743935,0.000010760643,0.94052744,0.023765922,0.024824196,0.00775893,0.0007147608],"about_ca_topic_score_codex":0.000049262188,"about_ca_topic_score_gemma":0.00001842925,"teacher_disagreement_score":0.23287274,"about_ca_system_score_codex":0.0002372506,"about_ca_system_score_gemma":0.00020909717,"threshold_uncertainty_score":0.9999064},"labels":[],"label_agreement":null},{"id":"W2978193148","doi":"10.1101/143636","title":"Sparse Bursts Optimize Information Transmission in a Multiplexed Neural Code","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Code (set theory); Neural coding; Multiplexing; Transmission (telecommunications); Artificial neural network; Information transmission; Neurophysiology; Encoding (memory)","score_opus":0.029301061886093122,"score_gpt":0.2404323049202582,"score_spread":0.21113124303416506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2978193148","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99233043,0.00008935673,0.0021333322,0.0008603873,0.002463754,0.0013522996,0.00030758648,0.00042497055,0.00003790453],"genre_scores_gemma":[0.9969327,0.00026966268,0.0018641461,0.00051848264,0.00016717761,0.00016261518,9.666594e-7,0.00007380421,0.000010433629],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9969673,0.00020766638,0.00071863533,0.00093728385,0.00053901196,0.0006300968],"domain_scores_gemma":[0.99745834,0.00012311726,0.00069007685,0.0012890361,0.00017145142,0.00026800076],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00048426844,0.00057744473,0.000550996,0.00045857645,0.0003274653,0.0006460763,0.00091216515,0.00054786436,0.000028735058],"category_scores_gemma":[0.00085676176,0.0005829401,0.00018285435,0.0003097555,0.0001480709,0.0010618677,0.0003932913,0.0011342837,0.00007524496],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016636227,0.00011619904,0.0008454953,0.0002378165,0.000008913927,0.000083330175,0.000022294853,0.005592556,0.9925146,0.00023697711,0.00011860768,0.000056846777],"study_design_scores_gemma":[0.0026757861,0.0001190391,0.06726781,0.000791471,0.00006403137,1.3068579e-7,0.0000023221828,0.3992582,0.5189602,0.000013484307,0.009312284,0.00153529],"about_ca_topic_score_codex":0.0001007183,"about_ca_topic_score_gemma":0.000005929474,"teacher_disagreement_score":0.47355443,"about_ca_system_score_codex":0.00024551866,"about_ca_system_score_gemma":0.00026451313,"threshold_uncertainty_score":0.9996622},"labels":[],"label_agreement":null},{"id":"W2978207071","doi":"10.1109/ijcnn.2019.8852467","title":"Online Estimation of Multiple Dynamic Graphs in Pattern Sequences","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Ising model; Binary number; Modular decomposition; Theoretical computer science; Series (stratigraphy); Algorithm; Graph; Pattern recognition (psychology); Artificial intelligence; Mathematics; Line graph; Statistical physics; Pathwidth","score_opus":0.033175536499903506,"score_gpt":0.28801293534357236,"score_spread":0.25483739884366885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2978207071","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902376,0.000013033062,0.0075413026,0.00031597045,0.00092614145,0.0004667891,0.00017011916,0.000051379764,0.0002776833],"genre_scores_gemma":[0.9987693,0.000104060695,0.00041088136,0.00024333478,0.000007954398,0.000012893399,0.00013077835,0.0000151393515,0.0003056612],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986119,0.00008481534,0.00038318496,0.00051256845,0.00024686707,0.00016064105],"domain_scores_gemma":[0.9991226,0.00023332574,0.0002506239,0.00034088944,0.000026860818,0.000025671896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000112249334,0.00017887082,0.00026300212,0.00025550756,0.000018394563,0.00002927514,0.0002826324,0.00015425024,0.000039379647],"category_scores_gemma":[0.00022960377,0.00015203972,0.00009247536,0.00018591555,0.00006088984,0.00009608573,0.0002542572,0.00035941953,0.00001653199],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042734442,0.00057995203,0.026071131,0.0007779097,0.000008778016,0.00002129574,0.0001696286,0.6046465,0.25760373,0.0006920604,0.000040477516,0.109345764],"study_design_scores_gemma":[0.00020310105,0.000049117105,0.021241924,0.00013243011,0.000004701585,0.000003108963,0.000014121493,0.9650892,0.007257473,0.00583679,0.000006955597,0.00016110331],"about_ca_topic_score_codex":0.00086172146,"about_ca_topic_score_gemma":0.0010034494,"teacher_disagreement_score":0.36044264,"about_ca_system_score_codex":0.00005161366,"about_ca_system_score_gemma":0.000049684702,"threshold_uncertainty_score":0.61999995},"labels":[],"label_agreement":null},{"id":"W2978368159","doi":"10.1038/s41593-019-0520-2","title":"A deep learning framework for neuroscience","year":2019,"lang":"en","type":"review","venue":"Nature Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1087,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; The Scarborough Hospital; Mila - Quebec Artificial Intelligence Institute; University of Toronto; Université de Montréal; McGill University; University of Ottawa; Vector Institute; Canadian Institute for Advanced Research","funders":"Biotechnology and Biological Sciences Research Council; Medical Research Council; McGill University","keywords":"Systems neuroscience; Computational neuroscience; Computer science; Cognitive science; Cognitive neuroscience; Artificial intelligence; Variety (cybernetics); Neuroscience; Deep learning; Perception; Cognition; Psychology","score_opus":0.06930584992491394,"score_gpt":0.36747601900799903,"score_spread":0.2981701690830851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2978368159","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00001104412,0.955603,0.021417212,0.00019493174,0.018260144,0.0032090668,0.000080480095,0.00047466485,0.0007494419],"genre_scores_gemma":[0.00041594886,0.9901682,0.00051500037,0.0055701598,0.00045485585,0.00022807294,0.0000112115595,0.0001588807,0.002477672],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9932918,0.00043782088,0.0007325098,0.0031212042,0.0011631245,0.0012535595],"domain_scores_gemma":[0.99495286,0.002749643,0.0008823435,0.0010381442,0.00009126502,0.00028573582],"candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00052049244,0.0008914809,0.0015047147,0.00052865356,0.0009254127,0.00066204625,0.002609348,0.001211799,0.000013561249],"category_scores_gemma":[0.017030636,0.00070821686,0.00088038854,0.0029662873,0.00047160566,0.000567829,0.00050850905,0.0047579356,0.00010724658],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001824039,0.000101678466,0.0000023901075,0.0052144537,0.0000013810389,0.000056516757,0.000020407668,0.00030804542,0.0035237262,0.041809686,0.00026956006,0.9486739],"study_design_scores_gemma":[0.00010871584,0.0003645737,0.000005060873,0.0014915918,0.00010702623,0.00023352652,0.0000021075728,0.010216247,0.000088741406,0.0013221806,0.9853397,0.00072050176],"about_ca_topic_score_codex":7.938067e-7,"about_ca_topic_score_gemma":5.857148e-7,"teacher_disagreement_score":0.98507017,"about_ca_system_score_codex":0.00012886102,"about_ca_system_score_gemma":0.0003168079,"threshold_uncertainty_score":0.9995369},"labels":[],"label_agreement":null},{"id":"W2978438249","doi":"10.1101/792010","title":"Cortico-cortical feedback from V2 exerts a powerful influence over the visually evoked local field potential and associated spike timing in V1","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Local field potential; Neuroscience; Visual cortex; Rhythm; Stimulus (psychology); Physics; Electrophysiology; Electroencephalography; Amplitude; Coincidence detection in neurobiology; Psychology; Optics; Medicine; Coincidence; Acoustics; Cognitive psychology","score_opus":0.011700082967642678,"score_gpt":0.22840051648481116,"score_spread":0.21670043351716847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2978438249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956261,0.00009032904,0.0010678255,0.00053398305,0.0015956219,0.0008048334,0.00011641394,0.00015525932,0.00000964514],"genre_scores_gemma":[0.9974664,0.000110910114,0.00006269728,0.0020866469,0.00014198726,0.000038253173,5.105692e-7,0.00008002915,0.000012605443],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9963812,0.00035160317,0.00061654777,0.0013510786,0.00063816016,0.0006614149],"domain_scores_gemma":[0.9976847,0.0006447846,0.0004360302,0.0008778173,0.00015879286,0.00019786244],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00044817314,0.00052960654,0.0005651983,0.00017612016,0.00018966998,0.00046168358,0.00059912086,0.00062511925,0.000061983825],"category_scores_gemma":[0.0017716124,0.00046094635,0.00013487393,0.0004631871,0.00024222974,0.00026200095,0.0008520147,0.0015349434,0.000061423816],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014617723,0.00016010122,0.022704635,0.00005786886,0.00003124394,0.00017840796,0.000018488065,0.0010570795,0.97532195,0.00019038955,0.00012575439,0.000007928366],"study_design_scores_gemma":[0.0010097761,0.00018247034,0.82259387,0.0004796426,0.000100511475,9.880029e-8,0.000004731272,0.068140216,0.10647658,0.000023551107,0.00019309735,0.00079548097],"about_ca_topic_score_codex":0.00033901422,"about_ca_topic_score_gemma":0.000029522113,"teacher_disagreement_score":0.86884534,"about_ca_system_score_codex":0.00024068229,"about_ca_system_score_gemma":0.00029103312,"threshold_uncertainty_score":0.99978423},"labels":[],"label_agreement":null},{"id":"W2979538818","doi":"10.1101/798553","title":"Recurrent neural network models of multi-area computation underlying decision-making","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Institute of Neurological Disorders and Stroke; Whitehall Foundation; Hellman Foundation; Brain and Behavior Research Foundation; Nvidia; National Institutes of Health; National Science Foundation","keywords":"Computation; Computer science; Task (project management); Recurrent neural network; Artificial intelligence; Modular design; Neurophysiology; Reservoir computing; Artificial neural network; Pattern recognition (psychology); Neuroscience; Algorithm; Psychology","score_opus":0.067089511703086,"score_gpt":0.28397435305763413,"score_spread":0.21688484135454814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979538818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82170576,0.00026752293,0.17169195,0.000049584578,0.00496982,0.00093352125,0.00011655887,0.00025606985,0.000009200273],"genre_scores_gemma":[0.9905272,0.00013617371,0.008739356,0.0002522403,0.000178611,0.000046093028,3.9129932e-7,0.00011813606,0.0000017661753],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99632233,0.00024796964,0.00083297124,0.0013374027,0.00065739825,0.000601931],"domain_scores_gemma":[0.9969948,0.00067259825,0.00094223913,0.00089937856,0.00034552268,0.00014548536],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004924398,0.00055815355,0.00066356984,0.00028882583,0.00023118929,0.00023812565,0.0006247266,0.00039910065,0.000012072609],"category_scores_gemma":[0.0004680261,0.00057696796,0.00025123646,0.00067731447,0.000104971805,0.0003356411,0.00071772025,0.000876588,0.000020499187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000696265,0.00013237951,0.0008354106,0.00024865186,0.00002319454,0.00002114473,0.0000089677,0.7689071,0.22861911,0.00091574644,0.00009979662,0.00011885932],"study_design_scores_gemma":[0.00042566063,0.00007748348,0.010027923,0.0011306588,0.000052195486,4.3860137e-8,0.0000014501741,0.9801781,0.0073424554,0.00011899736,0.000045361237,0.0005996663],"about_ca_topic_score_codex":0.000012066724,"about_ca_topic_score_gemma":0.00000251255,"teacher_disagreement_score":0.22127666,"about_ca_system_score_codex":0.00024071937,"about_ca_system_score_gemma":0.00024201573,"threshold_uncertainty_score":0.9996682},"labels":[],"label_agreement":null},{"id":"W2979761409","doi":"10.1152/jn.00184.2019","title":"Muscarinic acetylcholine receptor-dependent persistent activity of layer 5 intrinsic-bursting and regular-spiking neurons in primary auditory cortex","year":2019,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Neuroscience; Bursting; Cholinergic; Chemistry; Muscarinic acetylcholine receptor; Depolarization; Carbachol; Cholinergic neuron; Biology; Biophysics; Receptor; Stimulation","score_opus":0.02369283896866488,"score_gpt":0.24470040852265032,"score_spread":0.22100756955398543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979761409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99682075,0.000016402544,0.000007908013,0.00032103836,0.0025115523,0.00015127122,0.0000039082997,0.000008967515,0.00015821513],"genre_scores_gemma":[0.9987772,0.00024411871,0.000035004377,0.0005150589,0.00027855803,0.0000010009985,4.897082e-7,0.000020954209,0.00012760701],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983107,0.00035286284,0.00047869465,0.00034915018,0.00026478726,0.00024383211],"domain_scores_gemma":[0.9985396,0.00040658886,0.000677769,0.00022272448,0.00007800086,0.000075272284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013832175,0.0001618586,0.00045612236,0.00022626169,0.00005044343,0.000015892623,0.00022627406,0.00008221013,0.000019796777],"category_scores_gemma":[0.00033087246,0.00013944041,0.00015858654,0.00020092772,0.00011584896,0.0002406081,0.00020691632,0.00064106646,0.000006000439],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044217857,0.00012754563,0.0010732432,0.00004838821,0.000007927643,0.000047443908,0.000048490463,0.0015658533,0.9925944,0.000026195408,0.000017237715,0.0040010903],"study_design_scores_gemma":[0.0021548406,0.0032811891,0.94856167,0.00011968691,0.000039826577,0.00057376426,0.000050342755,0.00479077,0.039307814,0.00010021376,0.00074005476,0.00027980594],"about_ca_topic_score_codex":0.0000067728306,"about_ca_topic_score_gemma":9.623633e-7,"teacher_disagreement_score":0.9532866,"about_ca_system_score_codex":0.000070388756,"about_ca_system_score_gemma":0.0000617156,"threshold_uncertainty_score":0.56862146},"labels":[],"label_agreement":null},{"id":"W2980587554","doi":"10.1016/j.neures.2019.10.002","title":"Why context matters? Divisive normalization and canonical microcircuits in psychiatric disorders","year":2019,"lang":"en","type":"review","venue":"Neuroscience Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Normalization (sociology); Context (archaeology); Schizophrenia (object-oriented programming); Neuroscience; Psychology; Cognitive psychology; Psychiatry; Biology","score_opus":0.16481065606436437,"score_gpt":0.41815728696677057,"score_spread":0.25334663090240617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980587554","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001929018,0.9856841,0.00018633892,0.0034811446,0.00288229,0.004665396,0.000121431985,0.000088894514,0.0009614153],"genre_scores_gemma":[0.005080221,0.9911925,0.0000028859504,0.002942269,0.00006180397,0.0001060112,0.000008042003,0.000056791676,0.0005494287],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9942304,0.0013159836,0.00057607313,0.0016719088,0.0011678453,0.0010378017],"domain_scores_gemma":[0.9979601,0.001030969,0.00020578402,0.00053119345,0.00006503469,0.00020692602],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009993309,0.00037723908,0.00078738196,0.0012870053,0.00041527048,0.00044515738,0.0010020174,0.00024828673,0.000018362482],"category_scores_gemma":[0.0012045128,0.00031495077,0.00016457787,0.0037461,0.0006802398,0.00044660695,0.00053667667,0.0014268284,0.00009973376],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014514362,0.00019277933,0.00018979414,0.005648289,0.0000015203524,0.000046958936,0.000075256015,0.000013205874,0.0030664396,0.0024250182,0.0036229992,0.98470324],"study_design_scores_gemma":[0.00023912686,0.00023882127,0.00014368864,0.00087416416,0.000016363647,0.00008029982,0.000014013695,0.00089999766,0.000016346325,0.00020722658,0.99692017,0.0003497722],"about_ca_topic_score_codex":0.00020602852,"about_ca_topic_score_gemma":0.00024262941,"teacher_disagreement_score":0.99329716,"about_ca_system_score_codex":0.00019030427,"about_ca_system_score_gemma":0.0004783727,"threshold_uncertainty_score":0.99993026},"labels":[],"label_agreement":null},{"id":"W2980834141","doi":"10.1016/j.brs.2019.10.013","title":"The impact of brain morphometry on tDCS effects on GABA levels","year":2019,"lang":"en","type":"letter","venue":"Brain stimulation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut Universitaire en Santé Mentale de Québec; Centre for Interdisciplinary Research in Rehabilitation; Centre hospitalier universitaire de Québec; Université Laval; Centres Intégré Universitaires de Santé et de Services Sociaux","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Parkinson Society Canada","keywords":"Transcranial direct-current stimulation; Neuroscience; Neurotransmitter; Stimulation; Psychology; Brain morphometry; Medicine; Central nervous system","score_opus":0.038830676717054854,"score_gpt":0.30861250539373336,"score_spread":0.2697818286766785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980834141","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6075126,0.00002465371,0.0006499665,0.38152853,0.003591294,0.0026881122,0.00051521155,0.0001827363,0.0033069071],"genre_scores_gemma":[0.6982733,0.0000046616747,0.000010061602,0.29338884,0.0013650963,0.00002017465,0.00013781719,0.00009074811,0.006709311],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968323,0.00062418537,0.00043439335,0.0007413377,0.00088737434,0.0004803949],"domain_scores_gemma":[0.98071235,0.01782297,0.00053788035,0.0008165264,0.0000677099,0.000042560227],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004507011,0.00046929377,0.00043225483,0.0003832769,0.0002479998,0.0001373758,0.00042613756,0.00055102754,0.00004958274],"category_scores_gemma":[0.004180723,0.0003068785,0.0004120531,0.00055573863,0.00009349558,0.00013332794,0.00006944294,0.0012359726,0.00025225896],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019487839,0.000048990492,0.00013082485,0.000109546185,0.000027277354,0.00004052761,0.000026066542,0.020798538,0.10403914,0.00026142152,0.863453,0.010869844],"study_design_scores_gemma":[0.006390501,0.013750193,0.21970174,0.0016959996,0.00013259616,0.00008379068,0.0000069764865,0.3130191,0.069861844,0.008878373,0.3633381,0.0031407787],"about_ca_topic_score_codex":0.000030346811,"about_ca_topic_score_gemma":0.0000012851489,"teacher_disagreement_score":0.50011486,"about_ca_system_score_codex":0.00025100337,"about_ca_system_score_gemma":0.00008353149,"threshold_uncertainty_score":0.9999383},"labels":[],"label_agreement":null},{"id":"W2981041888","doi":"10.1101/811471","title":"Spontaneous Traveling Cortical Waves Gate Perception in Awake Behaving Primates","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Institutes of Health","keywords":"Perception; Sensory system; Visual cortex; Neuroscience; Psychology; Neural activity; Physics","score_opus":0.019450597459507838,"score_gpt":0.2316565465752219,"score_spread":0.21220594911571405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981041888","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957409,0.00005630529,0.0005895893,0.00014931198,0.0021288523,0.0008678755,0.00010524881,0.00034107623,0.000020869433],"genre_scores_gemma":[0.99822724,0.0002404812,0.0007107575,0.00034091747,0.00025249674,0.00007328981,5.3787477e-7,0.00013584217,0.00001844125],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9962644,0.0002729329,0.00070520013,0.0014938834,0.00052351493,0.00074005395],"domain_scores_gemma":[0.99822176,0.00024700645,0.0003314371,0.0008774885,0.00012893182,0.00019339973],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00054315175,0.0005750499,0.0005880633,0.00029936671,0.00018993775,0.0003634868,0.000513432,0.0005272909,0.000075248834],"category_scores_gemma":[0.00064012466,0.0006070079,0.00017413097,0.00040528586,0.00012553943,0.00022548685,0.0004300015,0.0014190229,0.00017297533],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003276791,0.00012970627,0.0058624856,0.000235622,0.0000065501763,0.0006669044,0.000017470626,0.0011449835,0.99153596,0.0003524812,0.000008408492,0.000006687727],"study_design_scores_gemma":[0.00084960426,0.0001470474,0.6018241,0.0009592739,0.000112555186,0.0000022191762,0.000013320445,0.098118,0.29591593,0.000013651808,0.000269917,0.001774383],"about_ca_topic_score_codex":0.000058263366,"about_ca_topic_score_gemma":0.0000058920846,"teacher_disagreement_score":0.69562,"about_ca_system_score_codex":0.0004728827,"about_ca_system_score_gemma":0.0002488075,"threshold_uncertainty_score":0.99963814},"labels":[],"label_agreement":null},{"id":"W2981233770","doi":"10.1101/810325","title":"Revealing α oscillatory activity using voltage-sensitive dye imaging in monkey V1","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Fonds de Recherche du Québec - Santé; Agence Nationale de la Recherche","keywords":"Stimulus (psychology); Neuroscience; Illusion; Rhythm; Perception; Flicker; Psychology; Population; Stimulation; Communication; Physics; Computer science; Cognitive psychology; Acoustics; Medicine","score_opus":0.024934400746865957,"score_gpt":0.24008079718091171,"score_spread":0.21514639643404576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981233770","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903273,0.0001017036,0.0043333173,0.00011211055,0.003541078,0.0010142083,0.00020191196,0.00033423404,0.000034110915],"genre_scores_gemma":[0.99829423,0.00009264026,0.00045277693,0.0005379665,0.0003889145,0.000034959547,1.5549402e-7,0.00018584961,0.000012499116],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9954128,0.00039149425,0.00060621527,0.0020384914,0.0006386945,0.00091228954],"domain_scores_gemma":[0.99722344,0.00028384052,0.00068165653,0.001330545,0.00024961628,0.00023090935],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007824803,0.00075395656,0.00077365385,0.0006441609,0.0002546977,0.00035467613,0.0005453401,0.00044876474,0.000013068527],"category_scores_gemma":[0.0008021141,0.00085662515,0.00022843972,0.0008349771,0.00019317715,0.0005124585,0.0009271236,0.0015993089,0.00007423171],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051082603,0.00008401976,0.008626841,0.00019576203,0.000011243956,0.00021704206,0.000010145482,0.0034586918,0.98707426,0.0002387335,0.00002422699,0.000007944034],"study_design_scores_gemma":[0.0005612505,0.000026988218,0.060446367,0.00077386113,0.000053309737,1.5396711e-7,0.0000050069493,0.14007059,0.79652685,0.000008137627,0.0002957648,0.0012317197],"about_ca_topic_score_codex":0.00034644498,"about_ca_topic_score_gemma":0.0000067764713,"teacher_disagreement_score":0.1905474,"about_ca_system_score_codex":0.0011769505,"about_ca_system_score_gemma":0.0006525123,"threshold_uncertainty_score":0.99938846},"labels":[],"label_agreement":null},{"id":"W2981400125","doi":"10.1101/820571","title":"Adaptive Spike-Artifact Removal from Local Field Potentials Uncovers Prominent Beta and Gamma Band Neuronal Synchronization","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Local field potential; Spike (software development); Artifact (error); Computer science; Synchronization (alternating current); Artificial intelligence; Pattern recognition (psychology); Neuroscience; Telecommunications; Biology","score_opus":0.01573159105332687,"score_gpt":0.2087303583240602,"score_spread":0.19299876727073334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981400125","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96506006,0.00014597633,0.02979248,0.00055417826,0.0027954201,0.0010304701,0.00040044604,0.00020099703,0.000019993739],"genre_scores_gemma":[0.9979543,0.0002010177,0.0004755263,0.0008092607,0.0003990738,0.000042656684,0.0000016597613,0.00009863792,0.000017861867],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99655086,0.00024617373,0.0005163574,0.0016091067,0.0005816693,0.0004958234],"domain_scores_gemma":[0.99800634,0.00029482896,0.00046403665,0.0008244651,0.00017617168,0.00023416996],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00024783795,0.00057056645,0.0005377881,0.0001848497,0.00019438824,0.0003539116,0.0003900243,0.0004630472,0.000093866685],"category_scores_gemma":[0.00035581677,0.00057737203,0.00014409886,0.00028660457,0.00015867436,0.00031190872,0.0004812327,0.00076091697,0.000068754634],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019672792,0.00007822482,0.0024143215,0.00012548512,0.000046015713,0.00013296185,0.0000066722178,0.0020153301,0.9943022,0.00037372924,0.0002530828,0.000055250624],"study_design_scores_gemma":[0.0008827704,0.0004327345,0.035058122,0.0003481426,0.00016948553,2.1316227e-7,0.0000033102165,0.044354588,0.9162501,0.000026112104,0.001478521,0.0009958852],"about_ca_topic_score_codex":0.00017444472,"about_ca_topic_score_gemma":0.000007251427,"teacher_disagreement_score":0.07805208,"about_ca_system_score_codex":0.00022388063,"about_ca_system_score_gemma":0.00034255558,"threshold_uncertainty_score":0.99966776},"labels":[],"label_agreement":null},{"id":"W2981422194","doi":"10.1016/j.plrev.2019.10.002","title":"From cells to sensations: A window to the physics of mind","year":2019,"lang":"en","type":"review","venue":"Physics of Life Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; Dalhousie University","funders":"","keywords":"Perception; Computer science; Set (abstract data type); Point (geometry); Process (computing); Stimulus (psychology); Space (punctuation); Observable; Artificial intelligence; Cognition; Human–computer interaction; Cognitive science; Cognitive psychology; Physics; Psychology; Neuroscience; Mathematics","score_opus":0.1967495161808511,"score_gpt":0.36232409533756044,"score_spread":0.16557457915670934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981422194","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000102016216,0.9904396,0.0018503871,0.0002480343,0.0011611385,0.0048994506,0.0009403821,0.000011961901,0.00034705657],"genre_scores_gemma":[0.000050184804,0.9970627,0.0005616522,0.0008109033,0.0009816578,0.00013241226,0.000042699834,0.00005593916,0.00030189464],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969321,0.00052710396,0.0011854847,0.0006621337,0.0004440909,0.00024912227],"domain_scores_gemma":[0.9961759,0.0009951846,0.0013187316,0.0012926032,0.00008829979,0.00012928688],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00036356287,0.0004468267,0.0024462105,0.00005831655,0.00005977334,0.000039523722,0.0008078077,0.000092276176,0.000020862191],"category_scores_gemma":[0.00058190274,0.00028020248,0.0009580653,0.0010297248,0.000052657,0.00010838257,0.00025157628,0.00029597257,0.0013327003],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000037791724,0.00008740235,3.3471005e-7,0.0057672104,0.00002458163,3.0267992e-7,0.000121953286,0.00008998877,0.0025610456,0.000443685,0.0028807255,0.988019],"study_design_scores_gemma":[0.000057970865,0.00007160357,4.4511367e-7,0.006880265,0.00037052203,5.0278544e-7,0.0000040054324,0.000074506854,0.0009851684,0.0003879753,0.99089605,0.0002709667],"about_ca_topic_score_codex":0.000033572258,"about_ca_topic_score_gemma":0.0000023831255,"teacher_disagreement_score":0.98801535,"about_ca_system_score_codex":0.000042204098,"about_ca_system_score_gemma":0.00017780346,"threshold_uncertainty_score":0.999965},"labels":[],"label_agreement":null},{"id":"W2981564286","doi":"10.1038/s41597-019-0242-z","title":"Integrated open-source software for multiscale electrophysiology","year":2019,"lang":"en","type":"article","venue":"Scientific Data","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute of Biomedical Imaging and Bioengineering; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Molson Foundation","keywords":"Open source software; Open source; Computer science; Software; Data science; Programming language","score_opus":0.06402038037987169,"score_gpt":0.300269165734127,"score_spread":0.2362487853542553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981564286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9549492,0.000018973999,0.025779247,0.0006519223,0.008396887,0.0022004144,0.007033133,0.00026420518,0.0007060388],"genre_scores_gemma":[0.8463944,0.000005900314,0.006616676,0.0015854983,0.0001203115,0.00006189802,0.009174987,0.000060756844,0.13597955],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981248,0.000064082305,0.00015566272,0.001169811,0.00015587643,0.00032980798],"domain_scores_gemma":[0.9980257,0.00021874692,0.000077090146,0.0015507817,0.00006953948,0.000058108035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038268144,0.000107845066,0.00014122945,0.000071117516,0.00030567698,0.00052856025,0.0024165905,0.000043905573,0.0002068297],"category_scores_gemma":[0.0010746369,0.000085560016,0.000025750745,0.000544816,0.00014892309,0.00059784116,0.0012686778,0.000114103284,0.0005852551],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052945237,0.00005240702,0.000040081035,0.000010229645,0.0000017042114,7.1473056e-7,0.000011548424,0.000029805959,0.91249484,0.0005647473,0.06707923,0.019661773],"study_design_scores_gemma":[0.0006596618,0.00018569884,0.00020897892,0.00001498832,0.0000073054453,0.0000092478585,0.000022354949,0.11698557,0.070696525,0.0015836868,0.80940735,0.00021861067],"about_ca_topic_score_codex":0.000028567341,"about_ca_topic_score_gemma":0.00003306874,"teacher_disagreement_score":0.8417983,"about_ca_system_score_codex":0.000022132695,"about_ca_system_score_gemma":0.00007879742,"threshold_uncertainty_score":0.7522465},"labels":[],"label_agreement":null},{"id":"W2981710180","doi":"10.48550/arxiv.1910.12151","title":"Making Predictive Coding Networks Generative","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"MNIST database; Computer science; Predictive coding; Artificial neural network; Generative grammar; Discriminative model; Artificial intelligence; Reciprocal; Hierarchy; Backpropagation; Coding (social sciences); Nonlinear system; Machine learning; Class (philosophy); Simple (philosophy); Mathematics","score_opus":0.13122303082548067,"score_gpt":0.2133092003186279,"score_spread":0.08208616949314723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981710180","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49653253,0.000019579655,0.48755836,0.00006624689,0.0030117533,0.0006346797,0.00006975514,0.00023276583,0.011874328],"genre_scores_gemma":[0.9955076,0.00020709864,0.000037288883,0.00048099004,0.00024927506,0.0000012515147,0.000019726047,0.00003439037,0.003462358],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978709,0.00022725809,0.00016656454,0.0012671248,0.00009641184,0.00037169832],"domain_scores_gemma":[0.9987561,0.00024742607,0.00029316498,0.0005460767,0.00007371744,0.00008353326],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012644779,0.00032179654,0.00030272847,0.00017279311,0.00024425276,0.000111319096,0.00053824746,0.0003064216,0.00006134374],"category_scores_gemma":[0.00009828245,0.0003547022,0.00019516259,0.0003687285,0.00012601717,0.00022118856,0.000994101,0.0008941068,0.000072570096],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001012005,0.000032777676,0.0009989223,0.0000292352,0.000023773277,0.00017201777,0.000060236154,0.95021313,0.0022144024,0.04576387,0.00025647014,0.0001339894],"study_design_scores_gemma":[0.00027388398,0.00007712017,0.0005023362,0.0001107086,0.000058749203,0.0000058517544,0.00004406451,0.9906672,0.0008715857,0.0068182894,0.00020652378,0.00036364095],"about_ca_topic_score_codex":0.000015726713,"about_ca_topic_score_gemma":0.000010235308,"teacher_disagreement_score":0.4989751,"about_ca_system_score_codex":0.00027124246,"about_ca_system_score_gemma":0.00007883402,"threshold_uncertainty_score":0.9998905},"labels":[],"label_agreement":null},{"id":"W2981810404","doi":"10.1152/jn.00505.2019","title":"StartReact effects are dependent on engagement of startle reflex circuits: support for a subcortically mediated initiation pathway","year":2019,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science; Government of Canada","keywords":"Neuroscience; Psychology; Moro reflex; Reflex; Communication","score_opus":0.03787070718512765,"score_gpt":0.27778887518467393,"score_spread":0.2399181679995463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981810404","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99784374,0.0000025666507,0.00010072455,0.00019122112,0.0012292719,0.00037395104,0.000032721044,0.000011743909,0.0002140599],"genre_scores_gemma":[0.99821347,0.000039210187,0.000019344898,0.0015472517,0.00010184467,0.000006583122,0.000004924872,0.000021340678,0.00004602898],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99827355,0.00033856937,0.00052258355,0.00025114708,0.00039007555,0.00022409146],"domain_scores_gemma":[0.9974808,0.0012631748,0.0007605764,0.0001908004,0.00022561154,0.00007904832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018538086,0.00014038215,0.00036087236,0.0001673441,0.000046364996,0.0000127082685,0.0001800601,0.00006411664,0.000044939217],"category_scores_gemma":[0.0016643686,0.000108017484,0.00014794702,0.0001277003,0.000037954298,0.00013416688,0.000037625272,0.000288132,0.00003265052],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005856957,0.00025616615,0.00008606158,0.000084803556,0.000012011142,0.00009328576,0.000030078294,0.000400691,0.99629796,0.00036658044,0.000047510504,0.0017391832],"study_design_scores_gemma":[0.003831446,0.027008073,0.0915373,0.00012277496,0.00006051293,0.000092332215,0.000035519595,0.0018180489,0.87129045,0.0022927376,0.0016317376,0.00027905634],"about_ca_topic_score_codex":8.1008716e-7,"about_ca_topic_score_gemma":6.21763e-7,"teacher_disagreement_score":0.12500747,"about_ca_system_score_codex":0.00005486441,"about_ca_system_score_gemma":0.00009196196,"threshold_uncertainty_score":0.44048253},"labels":[],"label_agreement":null},{"id":"W2981982712","doi":"10.1016/j.schres.2019.10.030","title":"Evidence for prefrontal cortex hypofunctioning in schizophrenia through somatosensory evoked potentials","year":2019,"lang":"en","type":"article","venue":"Schizophrenia Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Addiction and Mental Health; University of Toronto","funders":"Canadian Institutes of Health Research; Brain and Behavior Research Foundation; Canada Research Chairs; Canada Foundation for Innovation; National Alliance for Research on Schizophrenia and Depression; Campbell Family Mental Health Research Institute","keywords":"Somatosensory system; Somatosensory evoked potential; Neuroscience; Dorsolateral prefrontal cortex; Sensory gating; Electroencephalography; Stimulus (psychology); Psychology; Sensory system; Prefrontal cortex; Audiology; Medicine; Cognition; Gating; Cognitive psychology","score_opus":0.16967900076023443,"score_gpt":0.37949541271566894,"score_spread":0.20981641195543452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981982712","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931161,0.00028802527,0.00029089596,0.000772432,0.0014590279,0.0022784572,0.0000366428,0.00014704869,0.0016113789],"genre_scores_gemma":[0.9931223,0.00019012053,0.0013322579,0.00017740297,0.00033298496,0.00026393056,0.000014030613,0.0000742793,0.00449271],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9948041,0.0007155931,0.0005979153,0.0013915075,0.001323364,0.0011675083],"domain_scores_gemma":[0.99603856,0.0026303916,0.00014763414,0.00078182394,0.00023859019,0.0001629877],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016815573,0.00031365646,0.0004233379,0.00051487907,0.00055585784,0.0003384163,0.0007189942,0.00021594558,0.00032269125],"category_scores_gemma":[0.0030766672,0.00029263247,0.00020002434,0.0012300236,0.00027113847,0.0012272468,0.00034953287,0.0009795094,0.00097201247],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0058348617,0.000121845354,0.0007353867,0.00010859787,0.0000086117725,0.000025796435,0.00009963835,0.0001919313,0.974477,0.01225605,0.0004397474,0.0057005323],"study_design_scores_gemma":[0.027704634,0.00431407,0.19296809,0.0025310712,0.00006202875,0.00032830608,0.0008601053,0.1026873,0.5039401,0.15697354,0.0048636813,0.002767046],"about_ca_topic_score_codex":0.00017657253,"about_ca_topic_score_gemma":0.00015308277,"teacher_disagreement_score":0.4705369,"about_ca_system_score_codex":0.0002792809,"about_ca_system_score_gemma":0.00034697645,"threshold_uncertainty_score":0.99995255},"labels":[],"label_agreement":null},{"id":"W2982314461","doi":"10.1523/jneurosci.0975-19.2019","title":"Intermittent Failure of Spike Propagation in Primary Afferent Neurons during Tactile Stimulation","year":2019,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Somatosensory system; Stimulation; Spike (software development); Optogenetics; Afferent; Bursting; Stimulus (psychology); Soma; Physics; Computer science; Biology; Psychology","score_opus":0.019010180677437948,"score_gpt":0.2442628023557891,"score_spread":0.22525262167835114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982314461","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99783,0.0000031626885,0.00024266994,0.00037539756,0.0011502194,0.00023195715,0.000002463906,0.00000885132,0.00015530761],"genre_scores_gemma":[0.9994951,0.000017227676,0.000042328757,0.00024308001,0.00003665632,0.0000012564409,2.411405e-7,0.000009758876,0.00015434164],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99836034,0.00011277165,0.00051331543,0.0002635055,0.0005593759,0.00019068623],"domain_scores_gemma":[0.99897474,0.00010563933,0.0006165755,0.00016791622,0.00007205103,0.000063101696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020004463,0.00011225756,0.00020617899,0.0003276493,0.000049489223,0.00004852475,0.00030607134,0.000033076845,0.0000115070525],"category_scores_gemma":[0.00037257897,0.000090544316,0.00008367452,0.00050975103,0.00006860793,0.00077177945,0.00008456013,0.00029768728,0.0000041463845],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000079921796,0.000114258946,0.014662696,0.00003964986,2.4726032e-7,0.000028870392,0.000048341302,0.0061778943,0.97789055,0.00006129067,0.000008775062,0.0008874785],"study_design_scores_gemma":[0.00057059084,0.00056300504,0.77437365,0.00009230359,0.000004230629,0.00021353594,0.000015064764,0.015695758,0.20823015,0.00006954703,0.000079599784,0.00009257403],"about_ca_topic_score_codex":0.0000015616046,"about_ca_topic_score_gemma":0.0000018754432,"teacher_disagreement_score":0.7696604,"about_ca_system_score_codex":0.00008621704,"about_ca_system_score_gemma":0.00006694926,"threshold_uncertainty_score":0.36922902},"labels":[],"label_agreement":null},{"id":"W2982319767","doi":"10.1101/823559","title":"A functional spiking-neuron model of activity-silent working memory in humans based on calcium-mediated short-term synaptic plasticity","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Facilitation; Neuroscience; Synaptic plasticity; Stimulus (psychology); Computer science; Neural facilitation; Calcium imaging; ENCODE; Neuron; Working memory; Psychology; Cognitive psychology; Calcium; Biology; Excitatory postsynaptic potential; Cognition; Chemistry; Inhibitory postsynaptic potential","score_opus":0.05069480864655609,"score_gpt":0.2398459541565557,"score_spread":0.18915114550999962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982319767","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98661935,0.000014797135,0.009812185,0.000090924914,0.0019345634,0.001033666,0.00024309276,0.00022545698,0.00002593633],"genre_scores_gemma":[0.9990544,0.000020082964,0.00010949105,0.00035947427,0.00017319962,0.00014085582,8.571832e-7,0.0001357342,0.0000059250283],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9956528,0.00031597208,0.0007043036,0.001710689,0.0009375271,0.0006787014],"domain_scores_gemma":[0.9974202,0.0006975162,0.00053360633,0.0010023094,0.00015209909,0.00019426444],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00047789497,0.0006994819,0.00080188154,0.0007716768,0.00014698482,0.00012665374,0.00055862963,0.00054577395,0.00003150967],"category_scores_gemma":[0.000741531,0.00074528635,0.00025145058,0.00062040513,0.00017168775,0.00016260949,0.00040712277,0.0016176613,0.000032701988],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025837705,0.00040657682,0.0047297603,0.00027980277,0.00001785141,0.000040641018,0.000004471842,0.21864879,0.7754583,0.0001401708,0.000012917017,0.0000023355342],"study_design_scores_gemma":[0.00059170317,0.00015051379,0.10423354,0.0006438409,0.000057878162,1.33895846e-8,5.835601e-7,0.66130626,0.23242363,0.0000019583424,0.000007726407,0.0005823169],"about_ca_topic_score_codex":0.000028100176,"about_ca_topic_score_gemma":0.000007698199,"teacher_disagreement_score":0.5430347,"about_ca_system_score_codex":0.00050285185,"about_ca_system_score_gemma":0.0005941142,"threshold_uncertainty_score":0.9994998},"labels":[],"label_agreement":null},{"id":"W2982473483","doi":"10.1016/j.neubiorev.2019.10.017","title":"The sensory-deprived brain as a unique tool to understand brain development and function","year":2019,"lang":"en","type":"article","venue":"Neuroscience & Biobehavioral Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Ministero dell’Istruzione, dell’Università e della Ricerca","keywords":"Neuroscience; Stimulus (psychology); Psychology; Electrophysiology; Audiology; Macaque; Visual cortex; Electroencephalography; Sensory system; Brain activity and meditation; Medicine; Cognitive psychology","score_opus":0.08192033978335535,"score_gpt":0.3222741438136288,"score_spread":0.24035380403027345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982473483","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99446785,0.00030352027,0.00057487556,0.0012497668,0.0011480973,0.0018528748,0.0000053491117,0.00008908867,0.00030855695],"genre_scores_gemma":[0.9575432,0.0011313536,0.00022335853,0.032999545,0.00004693833,0.000095021445,0.0000021244878,0.00004034618,0.007918094],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971664,0.00027695234,0.0004959806,0.0009935239,0.0005207143,0.00054642727],"domain_scores_gemma":[0.9989484,0.00004945125,0.00019648722,0.00054464093,0.00003994457,0.00022108706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010558413,0.0003064378,0.0002840709,0.00011257673,0.00072669185,0.0004201315,0.00041947447,0.000076048316,0.00003528448],"category_scores_gemma":[0.0012674464,0.00020510721,0.000087132525,0.00072078686,0.00022050046,0.00037110594,0.00024199406,0.00028233734,0.00035530614],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039176648,0.000030339635,0.00033987727,0.000009377414,2.8793547e-8,0.000006947746,0.00011692095,0.000005030667,0.70557714,0.0020628923,0.00090778584,0.2909045],"study_design_scores_gemma":[0.00023307855,0.0005325628,0.006429531,0.00004400907,0.0000070560527,0.00005472782,0.00007999653,0.00030488873,0.010390582,0.00022144042,0.9813857,0.00031642395],"about_ca_topic_score_codex":0.0000138076475,"about_ca_topic_score_gemma":0.000036337842,"teacher_disagreement_score":0.9804779,"about_ca_system_score_codex":0.00011047,"about_ca_system_score_gemma":0.00011917306,"threshold_uncertainty_score":0.83640295},"labels":[],"label_agreement":null},{"id":"W2982550124","doi":"10.1101/827030","title":"A probabilistic framework for decoding behavior from in vivo calcium imaging data","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"","keywords":"Decoding methods; Probabilistic logic; Computer science; Calcium imaging; Premovement neuronal activity; Bayesian inference; Bayesian probability; Artificial intelligence; Machine learning; Neuroscience; Pattern recognition (psychology); Calcium; Algorithm; Psychology; Chemistry","score_opus":0.05897452333048041,"score_gpt":0.2880797375800928,"score_spread":0.2291052142496124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982550124","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95606947,0.00016225125,0.030465053,0.00032627705,0.00522207,0.0028528455,0.0045557898,0.0003409516,0.0000052781934],"genre_scores_gemma":[0.98681384,0.00004417833,0.011272297,0.00057012995,0.000537151,0.0005809372,0.0000026907855,0.00017345873,0.0000053333283],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9955728,0.00016247582,0.0006744992,0.002437496,0.0004140748,0.000738642],"domain_scores_gemma":[0.99541503,0.0009027987,0.0004789736,0.0028698011,0.00014844084,0.00018494375],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005722447,0.0005855167,0.0006270254,0.00029377078,0.00016831205,0.00048560885,0.0016534784,0.00044617613,0.000051165258],"category_scores_gemma":[0.0029743987,0.0006349692,0.00013437464,0.00046429786,0.00011120623,0.0003843601,0.0016051538,0.0011005835,0.000037317997],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005783536,0.00020577981,0.012793305,0.000278226,0.000011721197,0.00007212683,0.0000068761215,0.0002485727,0.9834819,0.002636127,0.00019820873,0.000009363086],"study_design_scores_gemma":[0.0019695873,0.00011223282,0.081171095,0.0027642052,0.0004641247,9.470824e-8,0.000007786009,0.36583123,0.5386655,0.00064212776,0.004958008,0.00341404],"about_ca_topic_score_codex":0.0001575288,"about_ca_topic_score_gemma":0.00001125937,"teacher_disagreement_score":0.44481638,"about_ca_system_score_codex":0.00036309293,"about_ca_system_score_gemma":0.00041123806,"threshold_uncertainty_score":0.9996102},"labels":[],"label_agreement":null},{"id":"W2983014413","doi":"10.7554/elife.43620.018","title":"Author response: Multiple mechanisms link prestimulus neural oscillations to sensory responses","year":2019,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Columbia College","funders":"","keywords":"Sensory system; Stimulus (psychology); Aperiodic graph; Sensory stimulation therapy; Neuroscience; Electroencephalography; Psychology; Sensory processing; Stimulus modality; Brain activity and meditation; Computer science; Cognitive psychology; Mathematics","score_opus":0.10476792436931782,"score_gpt":0.3525128396124264,"score_spread":0.2477449152431086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2983014413","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01216296,0.0011679059,0.006990638,0.92728776,0.031872157,0.008455449,0.005396803,0.0014863305,0.005180016],"genre_scores_gemma":[0.011831727,0.00012976656,0.0012080406,0.030663423,0.0003983349,0.00014866769,0.00012738579,0.00014026677,0.95535237],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9941575,0.0014884641,0.00080523704,0.0016715138,0.001135513,0.00074175635],"domain_scores_gemma":[0.99231726,0.005201524,0.00034534073,0.001469546,0.00028744584,0.0003788625],"candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011488623,0.0006935751,0.0008353686,0.0005620379,0.00039996466,0.00021752615,0.0007663828,0.0004600394,0.0008209705],"category_scores_gemma":[0.019618925,0.0005915457,0.00038666758,0.00080829865,0.00008204566,0.00019879172,0.0004989727,0.0008950579,0.002063745],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010881148,0.00004675062,0.000003769979,0.00047178435,0.00001024143,0.0000720214,0.000027775939,0.0013514383,0.22287057,0.00060523424,0.76905364,0.0043986593],"study_design_scores_gemma":[0.0003266717,0.0005660838,0.00024279045,0.0006641687,0.00008070118,0.00010131683,0.0000057796756,0.03936452,0.0042604464,0.00023063862,0.95336187,0.0007950386],"about_ca_topic_score_codex":0.00007700903,"about_ca_topic_score_gemma":0.00008315932,"teacher_disagreement_score":0.95017236,"about_ca_system_score_codex":0.00018111528,"about_ca_system_score_gemma":0.00035606397,"threshold_uncertainty_score":0.9996536},"labels":[],"label_agreement":null},{"id":"W2983796638","doi":"10.7554/elife.43114.018","title":"Author response: A causal role for the precuneus in network-wide theta and gamma oscillatory activity during complex memory retrieval","year":2019,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"","keywords":"Magnetoencephalography; Neuroscience; Precuneus; CTBS; Recall; Psychology; Coupling (piping); Computer science; Physics; Electroencephalography; Cognitive psychology; Transcranial magnetic stimulation; Stimulation; Cognition","score_opus":0.06948989505954414,"score_gpt":0.3203237416062604,"score_spread":0.25083384654671625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2983796638","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71974534,0.012450417,0.0002761609,0.2287063,0.015329401,0.015969513,0.0012641846,0.00043625766,0.005822443],"genre_scores_gemma":[0.25143772,0.0018970729,0.000042903757,0.0054452354,0.00074179034,0.00017617327,0.000037990663,0.00014194218,0.74007916],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964269,0.0008358848,0.00045557483,0.0010735214,0.0005625943,0.00064554083],"domain_scores_gemma":[0.9934694,0.0051954538,0.00035598926,0.00079588225,0.00007658039,0.00010667456],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021296714,0.00046279552,0.0007318661,0.0001281531,0.00036421887,0.00013612637,0.00049614935,0.00029153773,0.0001226951],"category_scores_gemma":[0.002658111,0.00031470406,0.00021869918,0.00040378078,0.00017316047,0.00016099137,0.0004148964,0.00082974345,0.00001681164],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009771376,0.00015451782,0.00023192767,0.0040156045,0.00007011744,0.00005223647,0.00014287604,0.0011351805,0.21391036,0.00030657015,0.7618752,0.008334032],"study_design_scores_gemma":[0.0012994582,0.00039891023,0.024431309,0.0011975637,0.00015819806,0.00010442635,0.00002023723,0.030311959,0.0031636637,0.0003782445,0.9376218,0.0009142725],"about_ca_topic_score_codex":0.000082746315,"about_ca_topic_score_gemma":0.00030376384,"teacher_disagreement_score":0.73425674,"about_ca_system_score_codex":0.00016071598,"about_ca_system_score_gemma":0.00021007864,"threshold_uncertainty_score":0.9999305},"labels":[],"label_agreement":null},{"id":"W2984266845","doi":"10.7554/elife.42722.025","title":"Decision letter: Visualization of currents in neural models with similar behavior and different conductance densities","year":2018,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Visualization; Bursting; Computer science; Waveform; Conductance; Biological system; Ion; Artificial neural network; Perturbation (astronomy); Current (fluid); Artificial intelligence; Chemistry; Physics; Neuroscience; Biology","score_opus":0.07225597445563459,"score_gpt":0.33041129832743954,"score_spread":0.25815532387180495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2984266845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98821104,0.0021376265,0.0023398092,0.0022723952,0.0030597446,0.0014346499,0.0002409704,0.000054954708,0.00024878696],"genre_scores_gemma":[0.9695313,0.009632348,0.00016123308,0.0076790317,0.00019684728,0.00011456147,0.00030645038,0.00008957755,0.012288662],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99799424,0.0001166548,0.00046231927,0.0006288864,0.00057824934,0.00021966906],"domain_scores_gemma":[0.99906987,0.00015464077,0.0002885287,0.00028823636,0.00014313546,0.000055584886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010216896,0.0003279894,0.0005572664,0.00018363744,0.000058503167,0.000046137382,0.00018102324,0.00012136259,0.00006680828],"category_scores_gemma":[0.000099948615,0.00022398568,0.000056483063,0.00022208814,0.00017637231,0.00025099012,0.000121054494,0.00020482542,0.0000017734283],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009868589,0.0021045674,0.0062947045,0.013614235,0.000044744887,0.0002720299,0.00044221076,0.0008221161,0.064305596,0.0060687875,0.80085516,0.10418897],"study_design_scores_gemma":[0.008641586,0.0057428055,0.012651625,0.049338274,0.0014316761,0.0005912925,0.0000666781,0.7774103,0.0380285,0.007008394,0.09275861,0.006330209],"about_ca_topic_score_codex":0.00003299058,"about_ca_topic_score_gemma":0.00025180465,"teacher_disagreement_score":0.77658826,"about_ca_system_score_codex":0.000041630177,"about_ca_system_score_gemma":0.00002361872,"threshold_uncertainty_score":0.9133871},"labels":[],"label_agreement":null},{"id":"W2984317160","doi":"10.1101/837740","title":"Cell-type Specific Learning of Attentional Gating in Primate Striatum","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Canadian Institutes of Health Research","keywords":"Disinhibition; Neuroscience; Gating; Mechanism (biology); Striatum; Feature (linguistics); Psychology; Population; Gaze; Cognitive flexibility; Cognition; Medicine; Physics; Dopamine","score_opus":0.023083375114761124,"score_gpt":0.22951100458852866,"score_spread":0.20642762947376753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2984317160","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99587774,0.00017490888,0.00046920514,0.00006472715,0.0025892735,0.0005588003,0.000057193563,0.00013740042,0.00007075991],"genre_scores_gemma":[0.9986558,0.00026360116,0.00068220525,0.0000641449,0.0001892648,0.000020743704,5.167133e-7,0.00008716669,0.00003653528],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9970376,0.00025474522,0.0006675361,0.0010534602,0.00051800464,0.00046866786],"domain_scores_gemma":[0.9981115,0.00020703142,0.00073802087,0.00063651067,0.00021055042,0.00009640283],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005884538,0.00038576536,0.00049807056,0.00036274033,0.00010588701,0.00013679193,0.00045979538,0.00032200795,0.00006837149],"category_scores_gemma":[0.00041204895,0.00042422282,0.0001444025,0.000700511,0.00008374816,0.00016450325,0.0004957116,0.0012065329,0.00009693215],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040684008,0.00010451791,0.016704237,0.0003338233,0.0000061363658,0.00002047767,0.0000045216616,0.004934538,0.9766467,0.0011359714,0.000066880595,0.0000014649781],"study_design_scores_gemma":[0.0007740382,0.00012467806,0.10011008,0.0005801034,0.000022982109,2.3894168e-8,0.0000039173747,0.018630303,0.8776362,0.000009109966,0.0013963688,0.00071217865],"about_ca_topic_score_codex":0.000016672338,"about_ca_topic_score_gemma":3.2798155e-7,"teacher_disagreement_score":0.09901053,"about_ca_system_score_codex":0.00019488971,"about_ca_system_score_gemma":0.0002848863,"threshold_uncertainty_score":0.99982095},"labels":[],"label_agreement":null},{"id":"W2985744284","doi":"10.3791/59812","title":"Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments","year":2019,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Neurophysiology; Neuroscience; Premovement neuronal activity; Electrophysiology; Computer science; Closed loop; Optogenetics; Stimulation; Neuron; Psychology","score_opus":0.13408154784102372,"score_gpt":0.45934971256117496,"score_spread":0.32526816472015124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2985744284","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970873,0.000026756365,0.00030592168,0.000082505416,0.0018368781,0.0004180037,0.000001984107,0.00002085048,0.00021977257],"genre_scores_gemma":[0.99804926,0.000017433425,0.00037049357,0.0012008856,0.00013052038,0.0000051286906,3.4447388e-7,0.00003664299,0.00018931965],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99738777,0.00044248547,0.00061846065,0.00046887354,0.000649806,0.00043258083],"domain_scores_gemma":[0.9988683,0.00016597676,0.00046527348,0.00024314989,0.00005727244,0.00020003616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023956224,0.00027137512,0.0005223881,0.0003485494,0.00008888794,0.00009820457,0.00036180773,0.00009155266,0.00016136491],"category_scores_gemma":[0.0002709729,0.00022220958,0.00018618032,0.00047796554,0.0000366887,0.0005277928,0.00018663738,0.0003763349,0.000054382443],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012702018,0.0006145294,0.000583455,0.000007590374,0.00000611157,0.00011973031,0.00017007467,0.0011983785,0.9950873,0.00004679773,0.000039365816,0.00085645856],"study_design_scores_gemma":[0.0029978785,0.001588778,0.0058673746,0.00009022214,0.000008429236,0.000062792,0.00005680047,0.011943465,0.97658455,0.000055191344,0.00046537872,0.0002791146],"about_ca_topic_score_codex":0.000019512448,"about_ca_topic_score_gemma":1.9844067e-7,"teacher_disagreement_score":0.01850273,"about_ca_system_score_codex":0.0001967901,"about_ca_system_score_gemma":0.00005041552,"threshold_uncertainty_score":0.9061444},"labels":[],"label_agreement":null},{"id":"W2985948360","doi":"10.1016/j.neuroscience.2019.10.024","title":"Low Frequency Phase-locking of Brain Signals Contribute to Efficient Face Recognition","year":2019,"lang":"en","type":"article","venue":"Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Ottawa","funders":"Department of Science and Technology of Sichuan Province; National Natural Science Foundation of China","keywords":"Phase synchronization; Functional magnetic resonance imaging; Synchronization (alternating current); Neuroscience; Default mode network; Lag; Visual cortex; Phase (matter); Coherence (philosophical gambling strategy); Psychology; Cognition; Computer science; Physics; Telecommunications","score_opus":0.03508862160070728,"score_gpt":0.2861698671980347,"score_spread":0.2510812455973274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2985948360","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98762673,0.0000044426356,0.007947759,0.0011091405,0.0015539487,0.00073564437,0.00012027724,0.00008471836,0.00081734685],"genre_scores_gemma":[0.9938371,0.000004910273,0.00006605818,0.0056502284,0.000031960786,0.000015088514,0.0000028447007,0.000016855829,0.0003749208],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99756205,0.00014895311,0.00036125432,0.00081468927,0.00064889895,0.00046417874],"domain_scores_gemma":[0.99873966,0.00043529054,0.00020861413,0.00035979913,0.000092464645,0.00016417274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040284274,0.00018162075,0.00023063507,0.0001993989,0.00015851928,0.000088874,0.0004664703,0.000051868472,0.000072430084],"category_scores_gemma":[0.001987179,0.00016716175,0.00008477607,0.0011513872,0.00012369658,0.00023711642,0.00011868709,0.00017462957,0.00021452499],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032878746,0.00016545672,0.00015191751,0.00001804205,2.6971037e-7,0.000009164314,0.00006510878,0.004172229,0.9902416,0.000356636,0.000088926136,0.004697759],"study_design_scores_gemma":[0.0007234695,0.0009172563,0.001118625,0.00007266476,0.0000036816825,0.000023283235,0.000015124725,0.046918813,0.94906294,0.0003640476,0.0005497678,0.00023032309],"about_ca_topic_score_codex":0.000010714407,"about_ca_topic_score_gemma":0.0000014287199,"teacher_disagreement_score":0.04274658,"about_ca_system_score_codex":0.000043262928,"about_ca_system_score_gemma":0.000054569235,"threshold_uncertainty_score":0.68166584},"labels":[],"label_agreement":null},{"id":"W2986845690","doi":"10.1101/826750","title":"Transformation of population code from dLGN to V1 facilitates linear decoding","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canadian Institute for Advanced Research; National Science Foundation","keywords":"Neural coding; Decoding methods; Visual cortex; Computer science; Sensory system; Stimulus (psychology); Lateral geniculate nucleus; Separable space; Coding (social sciences); Artificial intelligence; Pattern recognition (psychology); Neuroscience; Psychology; Mathematics; Cognitive psychology; Algorithm","score_opus":0.029198431981147056,"score_gpt":0.24412537460823622,"score_spread":0.21492694262708917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2986845690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98635864,0.00003719616,0.008987772,0.00023355753,0.0016941905,0.00092900306,0.0015388732,0.00020934599,0.00001144132],"genre_scores_gemma":[0.9973683,0.000064757114,0.0020005244,0.00028988972,0.00015273254,0.00005117203,0.0000034161235,0.00006246191,0.0000067746205],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975467,0.00014603956,0.00066231034,0.0008562138,0.00045323788,0.00033553492],"domain_scores_gemma":[0.99832106,0.00020781212,0.00038501935,0.0007460604,0.00019026439,0.0001497941],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030957218,0.00037172795,0.0004708925,0.0003024721,0.00011277029,0.00010843796,0.00040621072,0.00032056484,0.000030630512],"category_scores_gemma":[0.00051841716,0.00039104896,0.00015105761,0.00042474014,0.000037543236,0.00030338988,0.00017729026,0.0004234829,0.00012688678],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005460696,0.00004560101,0.0021815354,0.00019655898,0.000013577347,0.0000027540946,0.00003393172,0.006083106,0.99078345,0.0005687003,0.000026642123,0.000009546686],"study_design_scores_gemma":[0.00043973778,0.000103397535,0.052827757,0.0003551397,0.000049785853,6.814289e-9,0.0000038097771,0.06470502,0.8799565,0.000020514508,0.0009619722,0.0005763783],"about_ca_topic_score_codex":0.00027061164,"about_ca_topic_score_gemma":0.000008955429,"teacher_disagreement_score":0.11082696,"about_ca_system_score_codex":0.00022598002,"about_ca_system_score_gemma":0.0001082329,"threshold_uncertainty_score":0.99985415},"labels":[],"label_agreement":null},{"id":"W2987288573","doi":"10.1101/843011","title":"Neural correlates of goal-directed and non-goal-directed movements","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Columbia College","funders":"Division of Human Resource Development; Ministry of Education, India; Department of Biotechnology, Ministry of Science and Technology, India; Indian Institute of Science; Dana Foundation","keywords":"Neural activity; Spike (software development); Psychology; Neuroscience; Eye movement; BETA (programming language); Neural correlates of consciousness; Computer science; Cognition","score_opus":0.012245789277291424,"score_gpt":0.21459375352089805,"score_spread":0.20234796424360663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2987288573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940662,0.00017547795,0.000102032,0.00008403633,0.0032974954,0.0011660605,0.00038332955,0.00068797957,0.0000374352],"genre_scores_gemma":[0.9985797,0.00029568336,0.00037404505,0.0003257807,0.0001438286,0.00007854464,9.366429e-7,0.00013355323,0.00006792119],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.996428,0.00020974388,0.00072331796,0.0014724971,0.00056039466,0.0006060456],"domain_scores_gemma":[0.9972631,0.00026642872,0.0007716546,0.0010924528,0.00036891995,0.00023745894],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00029917934,0.0006688924,0.00078494765,0.00035658348,0.00016664069,0.00019872788,0.0005703642,0.0005223845,0.00003929268],"category_scores_gemma":[0.0006744179,0.0006701791,0.00016790761,0.00072197214,0.000211139,0.00024083041,0.000743594,0.0008945026,0.000045501438],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082629,0.00014205677,0.023171727,0.00033413857,0.000044826218,0.000028569637,0.00000969996,0.00027453862,0.9756343,0.00008736715,0.00018470628,0.0000054819325],"study_design_scores_gemma":[0.0010027437,0.00016431986,0.36069095,0.000387975,0.000085255,6.1567725e-8,0.0000017376062,0.09661182,0.53990257,0.0000061484498,0.00029753151,0.00084891147],"about_ca_topic_score_codex":0.00008506126,"about_ca_topic_score_gemma":0.0000023459702,"teacher_disagreement_score":0.4357317,"about_ca_system_score_codex":0.00013019094,"about_ca_system_score_gemma":0.00019093146,"threshold_uncertainty_score":0.99957496},"labels":[],"label_agreement":null},{"id":"W2987637462","doi":"10.1038/s41593-019-0536-7","title":"Sensory cortical control of movement","year":2019,"lang":"en","type":"article","venue":"Nature Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":76,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Michael's Hospital; University of Alberta; University of Ottawa; Krembil Foundation; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research; AOSpine","keywords":"Neuroscience; Sensory system; Neuroscientist; Movement (music); Systems neuroscience; Psychology; Central nervous system; Oligodendrocyte","score_opus":0.011710335518334777,"score_gpt":0.2514234775959601,"score_spread":0.23971314207762534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2987637462","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99248147,0.000015376196,0.00057644263,0.00067046465,0.0024404975,0.00032775197,0.000024669991,0.000052826974,0.0034104947],"genre_scores_gemma":[0.9833676,0.00001111615,0.000021070673,0.015413602,0.000032670945,0.0000032283328,2.6497406e-7,0.000009352767,0.0011410832],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983304,0.00009756478,0.0002002557,0.0005168534,0.00058133877,0.00027359073],"domain_scores_gemma":[0.99915564,0.0002988058,0.00010745446,0.0003146446,0.000042934276,0.00008054638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016460393,0.000117355085,0.00015873887,0.00007912519,0.000080600876,0.00003087644,0.00033099356,0.0001039996,0.000047557638],"category_scores_gemma":[0.00090690365,0.000093768525,0.00006914326,0.00040438955,0.00017688522,0.00017183117,0.00006347395,0.00054134475,0.000044437016],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034232977,0.000053142307,0.0020333487,0.00000914342,2.3713174e-7,0.000009358498,0.000006810725,0.00023823565,0.9781377,0.019088645,0.000059447462,0.000329732],"study_design_scores_gemma":[0.0008287586,0.00050800625,0.042809952,0.000015038721,0.000007085803,0.00002993124,0.000008757329,0.06309349,0.8872701,0.0010695909,0.0041419133,0.0002173973],"about_ca_topic_score_codex":0.0000016336808,"about_ca_topic_score_gemma":4.4100054e-7,"teacher_disagreement_score":0.09086759,"about_ca_system_score_codex":0.00001760436,"about_ca_system_score_gemma":0.000032434084,"threshold_uncertainty_score":0.38237697},"labels":[],"label_agreement":null},{"id":"W2988030429","doi":"10.1016/j.jneumeth.2019.108485","title":"Adaptive spike-artifact removal from local field potentials uncovers prominent beta and gamma band neuronal synchronization","year":2019,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Local field potential; Spike (software development); Artifact (error); Computer science; Synchronization (alternating current); Artificial intelligence; Pattern recognition (psychology); Neuroscience; Telecommunications; Biology","score_opus":0.03703404735178062,"score_gpt":0.3179723588573208,"score_spread":0.28093831150554016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2988030429","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7450124,0.000030290606,0.2508844,0.00097231247,0.0026993826,0.00019643363,0.0000080622,0.000013978699,0.00018272463],"genre_scores_gemma":[0.9891364,0.00009706964,0.008306223,0.0020740898,0.00015324696,0.000001195143,4.8302445e-7,0.00001859893,0.00021266952],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9972085,0.000711527,0.00054467324,0.00054279965,0.00067818456,0.00031431258],"domain_scores_gemma":[0.99790764,0.0009939385,0.00057212816,0.0002259797,0.00010306259,0.00019722708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091465627,0.00020959399,0.0003491888,0.00019079653,0.00016091885,0.00018615588,0.0003633149,0.00007934061,0.00006265815],"category_scores_gemma":[0.0013040652,0.0001642745,0.00013196701,0.00044459698,0.00020268784,0.0008355814,0.00011631989,0.00041632316,0.0000063352268],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019313517,0.00004109455,0.0007595674,0.0000073851943,0.0000023261882,0.00009268646,0.00004207392,0.0019380053,0.95233107,0.00015828853,0.00006157989,0.04437282],"study_design_scores_gemma":[0.0010974188,0.0036792178,0.023241134,0.00008207197,0.00006289739,0.0010784683,0.00007052169,0.1295051,0.83486986,0.0022394727,0.0037046927,0.00036916204],"about_ca_topic_score_codex":0.000018545354,"about_ca_topic_score_gemma":0.0000017916025,"teacher_disagreement_score":0.24412401,"about_ca_system_score_codex":0.000060065948,"about_ca_system_score_gemma":0.00012188746,"threshold_uncertainty_score":0.669892},"labels":[],"label_agreement":null},{"id":"W2988240884","doi":"10.1080/00401706.2019.1679542","title":"Dynamic Neuroscience Statistic, Modeling, and Control","year":2019,"lang":"en","type":"article","venue":"Technometrics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Statistic; Computer science; Control (management); Neuroscience; Psychology; Cognitive science; Artificial intelligence; Mathematics; Statistics","score_opus":0.020034547355867533,"score_gpt":0.24956292396597057,"score_spread":0.22952837661010303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2988240884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8701064,0.000054386684,0.12795068,0.0002253094,0.00040187626,0.00030537974,0.00004448177,0.00019926224,0.000712196],"genre_scores_gemma":[0.99809366,0.00011863569,0.0003492983,0.00085204554,0.0000047310186,0.000006393495,9.845195e-7,0.000014765151,0.00055951066],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99886,0.000017538365,0.00015235538,0.00044452032,0.0002841229,0.00024147009],"domain_scores_gemma":[0.999425,0.00017135666,0.000060807342,0.00025045668,0.000025445966,0.00006694086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001486559,0.000111816,0.0001310139,0.00052032113,0.00009731108,0.00008424054,0.00021880223,0.000049955237,0.000019468202],"category_scores_gemma":[0.00092293747,0.00010003792,0.000023127866,0.0017029768,0.00007301889,0.00017064135,0.000078964884,0.00016878771,0.000056291276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002522639,0.00008154269,0.003729471,0.000042361804,0.0000010693375,0.000018940756,0.000014240612,0.00464202,0.9273796,0.030916331,0.000044289296,0.03310492],"study_design_scores_gemma":[0.0003329437,0.00014958713,0.0011999259,0.0000036256934,0.0000042017405,0.000019084262,0.0000053900003,0.99290377,0.000858792,0.0037656575,0.00062222284,0.00013482421],"about_ca_topic_score_codex":0.0000062577074,"about_ca_topic_score_gemma":9.3302805e-7,"teacher_disagreement_score":0.9882617,"about_ca_system_score_codex":0.000032797743,"about_ca_system_score_gemma":0.000014022809,"threshold_uncertainty_score":0.4079428},"labels":[],"label_agreement":null},{"id":"W2988313851","doi":"10.1038/s41593-019-0517-x","title":"Inception loops discover what excites neurons most using deep predictive models","year":2019,"lang":"en","type":"article","venue":"Nature Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":228,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"National Eye Institute; National Institute of Mental Health; Carl Zeiss Meditec AG; National Science Foundation; Office of the Director of National Intelligence; U.S. Department of Health and Human Services; Intelligence Advanced Research Projects Activity","keywords":"Neuroscience; Predictive coding; Systems neuroscience; Computer science; Psychology; Artificial intelligence; Cognitive science; Biology; Central nervous system; Mathematics; Oligodendrocyte","score_opus":0.020637422617807037,"score_gpt":0.26131278285234655,"score_spread":0.2406753602345395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2988313851","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9791163,0.00009365643,0.012322033,0.00044853825,0.0061970116,0.00062444585,0.0000315434,0.00016466541,0.0010017653],"genre_scores_gemma":[0.99048,0.000211321,0.00007773204,0.008518455,0.00012704587,0.000009601613,0.0000040296068,0.00003680721,0.00053497456],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968525,0.00016557491,0.00025871,0.0012754655,0.0008809912,0.00056673033],"domain_scores_gemma":[0.99880177,0.00024754842,0.00018510938,0.00053377793,0.00007739196,0.00015441787],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015611215,0.0002994257,0.0002139823,0.00020720101,0.00038367131,0.000634413,0.00065156753,0.00022171467,0.00003108853],"category_scores_gemma":[0.0005078241,0.00025611327,0.00009521729,0.0013660257,0.0002955299,0.0052998015,0.00028414562,0.0009704198,0.000037814145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004964883,0.00006574865,0.0004676296,0.000010883715,4.4996835e-7,0.000013538711,0.00007032304,0.09081938,0.9043814,0.002909248,0.000033976576,0.0011777616],"study_design_scores_gemma":[0.000303277,0.00025031035,0.0030280496,0.000045981426,0.000009739953,0.000094199146,0.000056490877,0.9485427,0.043928444,0.0028800915,0.0005537045,0.00030701014],"about_ca_topic_score_codex":0.000009111205,"about_ca_topic_score_gemma":0.0000050713015,"teacher_disagreement_score":0.86045295,"about_ca_system_score_codex":0.00009160883,"about_ca_system_score_gemma":0.00008606159,"threshold_uncertainty_score":0.9999891},"labels":[],"label_agreement":null},{"id":"W2988538135","doi":"10.1007/978-3-030-29105-1_9","title":"Envelope Coding and Processing: Implications for Perception and Behavior","year":2019,"lang":"en","type":"book-chapter","venue":"Springer handbook of auditory research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Stimulus (psychology); Perception; Neuroscience; Coding (social sciences); Sensory system; Computer science; Communication; Psychology; Cognitive science; Cognitive psychology; Mathematics","score_opus":0.14790454053894236,"score_gpt":0.36639357441582404,"score_spread":0.21848903387688168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2988538135","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38772127,0.011577301,0.010753766,0.008385526,0.0117757525,0.03993184,0.003168001,0.00093669747,0.52574986],"genre_scores_gemma":[0.36787525,0.005615616,0.0010588834,0.00015699731,0.0018980769,0.0004532853,0.000037361784,0.00023316093,0.62267137],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984449,0.00003221712,0.0002542885,0.00063875306,0.00035176845,0.000278031],"domain_scores_gemma":[0.9988628,0.00037466618,0.00015613499,0.00025006072,0.0002598559,0.00009645634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045229463,0.00018629486,0.0002544193,0.00031944326,0.00037755858,0.00010271337,0.0001750968,0.00021886949,0.000045281195],"category_scores_gemma":[0.00015350679,0.00017885632,0.000058324124,0.00004051748,0.00047426907,0.00014711382,0.00021171168,0.0004332202,0.000019535626],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006897215,0.00003147716,0.0002553829,0.000645473,0.0000061773276,0.0000013679556,0.0001031611,5.822856e-7,0.93115205,0.011371822,0.0017693314,0.054594222],"study_design_scores_gemma":[0.0039808005,0.0035627165,0.06646056,0.006788664,0.00045735724,0.0001679751,0.00014664317,0.002234092,0.08118888,0.041729223,0.7903518,0.0029312982],"about_ca_topic_score_codex":0.0000039121364,"about_ca_topic_score_gemma":0.0000055855567,"teacher_disagreement_score":0.8499631,"about_ca_system_score_codex":0.0000788819,"about_ca_system_score_gemma":0.00016319932,"threshold_uncertainty_score":0.7293549},"labels":[],"label_agreement":null},{"id":"W2988969965","doi":"10.1016/j.neures.2019.10.011","title":"Is learning scale-free? Chemistry learning increases EEG fractal power and changes the power law exponent","year":2019,"lang":"en","type":"article","venue":"Neuroscience Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"University of Ottawa","keywords":"Fractal; Psychology; Electroencephalography; Artificial intelligence; Exponent; Scale (ratio); Cognitive psychology; Machine learning; Statistical physics; Physics; Neuroscience; Computer science; Mathematics; Quantum mechanics","score_opus":0.046974060227205856,"score_gpt":0.32273445862234307,"score_spread":0.2757603983951372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2988969965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9852033,0.00004727691,0.000005049006,0.0047390917,0.00027306122,0.00034471977,0.0000072905195,0.00008552075,0.009294679],"genre_scores_gemma":[0.99091065,0.00014687383,0.0000046958135,0.0018560909,0.000044717028,0.000025788702,8.6835735e-7,0.000029881234,0.0069804555],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99572164,0.0005604792,0.0001759985,0.0010378724,0.001624082,0.0008799537],"domain_scores_gemma":[0.99792904,0.0010610123,0.00008804656,0.00058542885,0.000109959845,0.00022649279],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0013892967,0.00020309458,0.0001733081,0.00011418321,0.0014421816,0.0005940146,0.0009169314,0.000089226276,0.00030376937],"category_scores_gemma":[0.0026950475,0.0001454262,0.00006095568,0.0008608122,0.0011137166,0.00040283057,0.0011124954,0.0015426225,0.0001045442],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004295062,0.000055966408,0.0043078214,0.000016894879,5.26954e-7,0.0000205824,0.00023263614,0.00004341031,0.99410725,0.00048656543,0.00015932419,0.0005260778],"study_design_scores_gemma":[0.0012194981,0.002155602,0.07242384,0.00014133831,0.000008212886,0.00042776632,0.00180577,0.025373828,0.77243775,0.00092278037,0.122243814,0.0008398163],"about_ca_topic_score_codex":0.00018001776,"about_ca_topic_score_gemma":0.000010615584,"teacher_disagreement_score":0.22166951,"about_ca_system_score_codex":0.000049492326,"about_ca_system_score_gemma":0.000062341,"threshold_uncertainty_score":0.9998578},"labels":[],"label_agreement":null},{"id":"W2989281186","doi":"10.1371/journal.pone.0224547","title":"Cluster tendency assessment in neuronal spike data","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cluster analysis; Computer science; Spike sorting; Visualization; Cluster (spacecraft); Initialization; Pattern recognition (psychology); Dimensionality reduction; Ground truth; Sorting; Data mining; Artificial intelligence; Clustering high-dimensional data; A priori and a posteriori; Algorithm","score_opus":0.1066605302078671,"score_gpt":0.28565221509192723,"score_spread":0.17899168488406014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989281186","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99097985,0.0000027717826,0.00003141465,0.0017954238,0.00021131824,0.00028902342,0.000031891388,0.00003410431,0.0066242116],"genre_scores_gemma":[0.99511504,0.000019859011,0.00040028317,0.0019167216,0.000058898077,0.0000069510634,0.000022917913,0.000012750264,0.0024465707],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987821,0.00006608747,0.00014789043,0.00044665148,0.00037036763,0.00018688179],"domain_scores_gemma":[0.99923384,0.00012385174,0.000044231543,0.000549332,0.000011345034,0.000037388087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013523054,0.000081371916,0.000115767085,0.00006313659,0.00002856809,0.000042801992,0.00037672647,0.000030658637,0.0002678111],"category_scores_gemma":[0.00012329126,0.00007231083,0.0000143686575,0.00015359576,0.000018350707,0.00030284037,0.00030850506,0.00023265513,0.00031694098],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023592898,0.0010265887,0.03225156,0.000043575208,0.0000039281585,0.000011802567,0.000011668283,0.000029820743,0.96429175,0.0014488045,0.00019164744,0.000665246],"study_design_scores_gemma":[0.0021602877,0.00070709904,0.35329792,0.00019964515,0.000044668603,0.000012999853,0.000022013755,0.5876271,0.051412787,0.002442062,0.0014708701,0.00060254487],"about_ca_topic_score_codex":0.000012272124,"about_ca_topic_score_gemma":0.00001778003,"teacher_disagreement_score":0.912879,"about_ca_system_score_codex":0.00002790764,"about_ca_system_score_gemma":0.000030485879,"threshold_uncertainty_score":0.40737405},"labels":[],"label_agreement":null},{"id":"W2989577353","doi":"10.1101/847756","title":"Neural correlates of evidence and urgency during human perceptual decision-making in dynamically changing conditions","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Western University; McGill University; Montreal Neurological Institute and Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Perception; Computer science; Task (project management); Cognitive psychology; Neural correlates of consciousness; Psychology; Fusiform gyrus; Sensory system; Artificial intelligence; Neuroscience; Cognition","score_opus":0.03288497846866495,"score_gpt":0.2733802524243734,"score_spread":0.24049527395570847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989577353","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997186,0.00019255867,0.00034868516,0.00006298351,0.0012235582,0.000731064,0.00011432263,0.00013663762,0.0000041556077],"genre_scores_gemma":[0.9992347,0.00019587678,0.0002513687,0.00008142932,0.0000923988,0.00005883568,2.0236763e-7,0.00007964792,0.000005579743],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99688977,0.00017855561,0.0007283866,0.0011842295,0.00045058885,0.00056847464],"domain_scores_gemma":[0.9977899,0.0006883836,0.00049163384,0.0007421425,0.00015843238,0.00012949374],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00041870706,0.0004478363,0.00056145084,0.0007911417,0.000272386,0.00015733461,0.0004922643,0.00034101438,0.000060143728],"category_scores_gemma":[0.0013803229,0.00043839897,0.00013694937,0.00072392804,0.00021698889,0.00039520604,0.00088924065,0.0008837058,0.000014811313],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003343211,0.00007545566,0.045145053,0.00031562225,0.000008619005,0.000060152677,0.000043337175,0.00197022,0.95145154,0.0008899356,0.0000026023208,0.0000040025193],"study_design_scores_gemma":[0.0004581863,0.000108579276,0.8898769,0.004151493,0.000055296485,3.414978e-7,0.00001628523,0.06745156,0.0369959,0.000052869877,0.000004909959,0.00082768477],"about_ca_topic_score_codex":0.000017322309,"about_ca_topic_score_gemma":0.0000059369004,"teacher_disagreement_score":0.91445565,"about_ca_system_score_codex":0.00019424233,"about_ca_system_score_gemma":0.00012364157,"threshold_uncertainty_score":0.99980676},"labels":[],"label_agreement":null},{"id":"W2989636306","doi":"10.1016/b978-0-12-817659-7.00057-9","title":"A quarter century immersed in neurofeedback","year":2019,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"ADD Centre","funders":"","keywords":"Neurofeedback; Quarter (Canadian coin); Psychology; History; Neuroscience; Electroencephalography; Archaeology","score_opus":0.01848144422263418,"score_gpt":0.22858416599730935,"score_spread":0.21010272177467518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989636306","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002005902,0.00007287376,6.257927e-7,0.00026469317,0.0023058935,0.0007945686,0.00003999594,0.000062585044,0.99445283],"genre_scores_gemma":[0.021544648,0.00013431991,0.0000068901386,0.0032180718,0.00019191338,0.000013842201,0.000012665919,0.00010649772,0.97477114],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977876,0.00006360079,0.00046136757,0.0008845351,0.0003883078,0.00041458476],"domain_scores_gemma":[0.9988745,0.00015342716,0.00024082679,0.0006077649,0.00002637893,0.00009710714],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00011278866,0.00045175763,0.00047837626,0.0002667355,0.00006070443,0.00006911051,0.0003422498,0.00030792298,0.00031828758],"category_scores_gemma":[0.000033337063,0.00041659415,0.0002487883,0.000028332875,0.00010024093,0.000075236705,0.00012664238,0.00081637606,0.0016004818],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009791304,0.000026135636,0.000014834539,0.000119289834,0.000010432472,0.00024169976,0.00015586472,0.0000046394066,0.029087767,0.021849182,0.0005531691,0.9478391],"study_design_scores_gemma":[0.00052916986,0.00014093517,0.0000763607,0.00020876114,0.000020705329,0.000029349487,0.0000057003203,0.00015298482,0.0004141023,0.0033954915,0.99450874,0.0005176982],"about_ca_topic_score_codex":6.6725016e-7,"about_ca_topic_score_gemma":0.000015432039,"teacher_disagreement_score":0.99395555,"about_ca_system_score_codex":0.000090090354,"about_ca_system_score_gemma":0.000087071276,"threshold_uncertainty_score":0.9998286},"labels":[],"label_agreement":null},{"id":"W2989665809","doi":"10.1523/jneurosci.0859-19.2019","title":"The Effects of Population Tuning and Trial-by-Trial Variability on Information Encoding and Behavior","year":2019,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; National Eye Institute; Howard Hughes Medical Institute; National Science Foundation","keywords":"Population; Encoding (memory); Affect (linguistics); Coding (social sciences); Pairwise comparison; Mutual information; Psychology; Neuroscience; Computer science; Biology; Statistics; Communication; Artificial intelligence; Developmental psychology; Mathematics; Medicine","score_opus":0.017059099688349937,"score_gpt":0.2642677788426374,"score_spread":0.2472086791542875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989665809","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99679166,0.0000045089914,0.00010374409,0.00012509947,0.0024741632,0.0004477797,0.0000015210826,0.0000043756963,0.000047119665],"genre_scores_gemma":[0.9996589,0.00007061301,0.000010488889,0.00019891969,0.00003362401,0.0000025662325,1.3252578e-7,0.000002626162,0.00002215874],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99885654,0.00017209719,0.0003583228,0.00012404348,0.00037984134,0.0001091272],"domain_scores_gemma":[0.9978575,0.0014289941,0.000517506,0.00010683237,0.00003914813,0.000050032715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008008718,0.000069889626,0.00012429651,0.000076257544,0.00018242336,0.00013111379,0.00013317296,0.000028703525,5.2223584e-7],"category_scores_gemma":[0.0047435486,0.00004458901,0.00003340843,0.00017818442,0.000088309345,0.00081636943,0.000043895543,0.0001672269,3.393689e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005550045,0.000056991765,0.0014928534,0.000024528274,2.996203e-7,0.0000014447708,0.00005001684,0.00002671729,0.98543656,0.00069621165,0.000011698539,0.0066526374],"study_design_scores_gemma":[0.17717853,0.03823221,0.5459113,0.00042853752,0.00015255026,0.000462296,0.00010530484,0.04918586,0.18225668,0.0030520167,0.0022939087,0.00074081036],"about_ca_topic_score_codex":0.0000038856756,"about_ca_topic_score_gemma":1.9180212e-7,"teacher_disagreement_score":0.80317986,"about_ca_system_score_codex":0.000019523834,"about_ca_system_score_gemma":0.000017040138,"threshold_uncertainty_score":0.5678813},"labels":[],"label_agreement":null},{"id":"W2989667247","doi":"10.1016/j.neuroimage.2019.116374","title":"Spontaneous network activity &lt;35 Hz accounts for variability in stimulus-induced gamma responses","year":2019,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Medical Research Council; National Institutes of Health; National Institute of Biomedical Imaging and Bioengineering; Wellcome Trust; Volkswagen Foundation; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada","keywords":"Stimulus (psychology); Stimulation; Neuroscience; Psychology; Photic Stimulation; Brain activity and meditation; Cognition; Electroencephalography; Visual perception; Cognitive psychology; Perception","score_opus":0.03442079417780322,"score_gpt":0.28095774206106056,"score_spread":0.24653694788325733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989667247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994274,0.0000017261342,0.00030732472,0.0005485468,0.0015968372,0.0012130839,0.000064261665,0.00012324296,0.0018709692],"genre_scores_gemma":[0.9966087,0.00000626791,0.00009687237,0.001463668,0.00015817804,0.000044909782,0.0000032625783,0.00004330099,0.0015748887],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9972557,0.000622175,0.0002769439,0.00094475603,0.00031146803,0.0005889604],"domain_scores_gemma":[0.99591017,0.0031757785,0.00013455773,0.00064898946,0.00004135274,0.00008913267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008856748,0.00024821056,0.00030560492,0.000098159784,0.00013971038,0.000114320595,0.0003328985,0.00011686031,0.00008616444],"category_scores_gemma":[0.002529913,0.00023986209,0.00011517342,0.00042651518,0.000051710398,0.00037096278,0.00013844293,0.00036495493,0.000099689045],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017769355,0.00016190408,0.0019092,0.000034556695,0.0000014513118,0.00031139338,0.00001988719,0.00054104807,0.98763007,0.00044346426,0.00020052034,0.0069695613],"study_design_scores_gemma":[0.0050441194,0.0026259387,0.45742327,0.000105335406,0.000043788474,0.0010416366,0.000011614207,0.30054748,0.2069221,0.008603316,0.016019525,0.0016118478],"about_ca_topic_score_codex":0.000027187541,"about_ca_topic_score_gemma":0.000057674813,"teacher_disagreement_score":0.78070796,"about_ca_system_score_codex":0.00010606286,"about_ca_system_score_gemma":0.000077913865,"threshold_uncertainty_score":0.97812915},"labels":[],"label_agreement":null},{"id":"W2989771989","doi":"10.1016/j.neuron.2019.10.043","title":"Cortex-wide Computations in Complex Decision Making in Mice","year":2019,"lang":"en","type":"letter","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; National Institutes of Health","keywords":"Neuroscience; Cortex (anatomy); Sensory system; Task (project management); Psychology; Motor cortex; Cortical neurons; Cognitive psychology","score_opus":0.0476309019040717,"score_gpt":0.29198140511536946,"score_spread":0.24435050321129775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989771989","genre_codex":"empirical","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7087726,0.000021009704,0.0011256168,0.2767008,0.0052142,0.0016959854,0.00012922792,0.00018482425,0.0061557256],"genre_scores_gemma":[0.43580982,0.00001800218,0.00011901424,0.563193,0.00023978861,0.000011824107,0.00007239092,0.000054850578,0.00048127503],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975563,0.00026388717,0.00046605192,0.0008544509,0.0004360716,0.00042322057],"domain_scores_gemma":[0.9969268,0.0025038212,0.0002041272,0.00032498743,0.000021147745,0.000019159063],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00010178436,0.0002820397,0.00034766167,0.0005333455,0.000064205684,0.00010674754,0.0004008007,0.00029717176,0.00006506573],"category_scores_gemma":[0.00046903704,0.00029032223,0.00008667372,0.0005448915,0.000048854916,0.00014605973,0.0001441957,0.0016935661,0.0002762829],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000099887875,0.00011985572,0.0026559695,0.00018544054,0.0000019533863,0.0024467167,0.00009304795,0.0077808844,0.06741343,0.00012935161,0.9082253,0.010848195],"study_design_scores_gemma":[0.001337579,0.00026831913,0.17020866,0.0005609258,0.000013950042,0.00013101364,0.0000062527843,0.15980045,0.00020047069,0.0026256733,0.66396415,0.0008825305],"about_ca_topic_score_codex":0.000044625733,"about_ca_topic_score_gemma":0.00011914507,"teacher_disagreement_score":0.28649226,"about_ca_system_score_codex":0.00013098172,"about_ca_system_score_gemma":0.00004104188,"threshold_uncertainty_score":0.9999549},"labels":[],"label_agreement":null},{"id":"W2991210969","doi":"10.1523/jneurosci.1194-19.2019","title":"Unimodal and Bimodal Access to Sensory Working Memories by Auditory and Visual Impulses","year":2019,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Economic and Social Research Council; National Institute for Health and Care Research; Wellcome Trust; McMaster University; James S. McDonnell Foundation","keywords":"Sensory system; Stimulus (psychology); Neuroscience; Psychology; Working memory; Auditory cortex; Visual cortex; Sensory stimulation therapy; Cognition; Cognitive psychology","score_opus":0.030870360528255987,"score_gpt":0.2969520704994856,"score_spread":0.2660817099712296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991210969","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953614,0.000033416476,0.00022760924,0.0012439372,0.0028530697,0.00012018484,0.000004712423,0.000014144144,0.00014152334],"genre_scores_gemma":[0.99616265,0.00012887389,0.000036288486,0.0030872636,0.00019147908,7.165614e-7,5.615635e-8,0.000011731767,0.00038094242],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985391,0.000093486626,0.00026958942,0.00036605107,0.00047100804,0.00026076802],"domain_scores_gemma":[0.9991336,0.00027315321,0.00023772301,0.00009339603,0.000049315917,0.00021279698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002546204,0.00013941445,0.00019766993,0.0001939229,0.00019580577,0.00041372693,0.00030066547,0.000036812984,0.000005009905],"category_scores_gemma":[0.0005145594,0.00011088415,0.000036281093,0.00039957504,0.00020965586,0.00093221274,0.0002461454,0.00025085907,0.0000027687588],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060507977,0.000025911057,0.0062899888,0.000008670956,4.96488e-7,0.00003301965,0.00004250655,0.000088810666,0.9891189,0.00004945795,0.0003485766,0.003933208],"study_design_scores_gemma":[0.0018115717,0.0046948977,0.4529354,0.00023705812,0.000037737504,0.0034179145,0.00025192948,0.029516863,0.46876448,0.000933194,0.036355786,0.0010431833],"about_ca_topic_score_codex":0.0000028561892,"about_ca_topic_score_gemma":0.0000011322785,"teacher_disagreement_score":0.5203544,"about_ca_system_score_codex":0.000023692248,"about_ca_system_score_gemma":0.000049321734,"threshold_uncertainty_score":0.45217246},"labels":[],"label_agreement":null},{"id":"W2991255010","doi":"10.1101/846964","title":"Classification and Analysis of Minimally-Processed Data from a Large Magnetoencephalography Dataset using Convolutional Neural Networks","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Biotechnology and Biological Sciences Research Council; Medical Research Council; University of Cambridge","keywords":"Magnetoencephalography; Computer science; Convolutional neural network; Artificial intelligence; Pattern recognition (psychology); Artificial neural network; Cued speech; Machine learning; Electroencephalography","score_opus":0.05242052045594781,"score_gpt":0.26565356028531806,"score_spread":0.21323303982937025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991255010","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94011366,0.00046274273,0.010304755,0.00006770998,0.00071444537,0.00044162688,0.047816,0.00007816587,9.105814e-7],"genre_scores_gemma":[0.99770254,0.00022544278,0.0011487498,0.0003259704,0.00014667181,0.000019235416,0.000384297,0.000046527806,5.414508e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964707,0.00023266388,0.00062811875,0.0017807309,0.000468593,0.00041920762],"domain_scores_gemma":[0.99641055,0.00029999166,0.00084718363,0.0020825518,0.00020554902,0.00015417337],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00044824617,0.00042082055,0.00066936936,0.000580784,0.0001650474,0.00025717678,0.0010672706,0.00035855116,0.000050675626],"category_scores_gemma":[0.0003277691,0.0004427182,0.00012314277,0.0015743569,0.00023833057,0.00051887473,0.0012752523,0.0005389934,0.0000035725336],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000087262015,0.0001617636,0.08426628,0.00013341769,0.00027788503,0.000011804535,0.0000025571644,0.003764028,0.91082865,0.0002794991,0.00018558082,0.0000012896127],"study_design_scores_gemma":[0.0002458671,0.00002167016,0.3169427,0.00004145608,0.0007393778,9.721472e-9,0.0000015722075,0.67944515,0.0020751276,0.0000015365222,0.00018436056,0.00030119336],"about_ca_topic_score_codex":0.00012274929,"about_ca_topic_score_gemma":0.000011541736,"teacher_disagreement_score":0.9087535,"about_ca_system_score_codex":0.00006026342,"about_ca_system_score_gemma":0.0001857755,"threshold_uncertainty_score":0.9998025},"labels":[],"label_agreement":null},{"id":"W2992576483","doi":"10.1523/eneuro.0359-18.2019","title":"Timing Determines Tuning: A Rapid Spatial Transformation in Superior Colliculus Neurons during Reactive Gaze Shifts","year":2019,"lang":"en","type":"article","venue":"eNeuro","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Gaze; Superior colliculus; Stimulus (psychology); Neuroscience; Computer science; Transformation (genetics); Primate; Eye movement; Psychology; Communication; Artificial intelligence; Cognitive psychology; Biology","score_opus":0.02108981521797626,"score_gpt":0.23549318111823375,"score_spread":0.2144033659002575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2992576483","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965738,0.0000034730263,0.00006693469,0.00037249047,0.00070497673,0.00042515152,0.000009453428,0.00008176305,0.0017619453],"genre_scores_gemma":[0.99921125,0.000018888444,0.00001127994,0.0003834689,0.000059465357,0.000023179986,0.0000038990875,0.000027057758,0.00026150243],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987071,0.00012912565,0.00024921348,0.00040006122,0.00021827282,0.00029618258],"domain_scores_gemma":[0.9994707,0.00019062121,0.00007075832,0.00019238707,0.000015262562,0.000060281036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007714829,0.00016372648,0.00016616052,0.0001792137,0.00010633247,0.00007007287,0.00014790957,0.000051646613,0.00006221457],"category_scores_gemma":[0.00018869662,0.00015928625,0.00006384087,0.00029577504,0.000029529458,0.0004815881,0.00004043312,0.00021942394,0.00006233163],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010348255,0.000036636106,0.0013118376,0.0000233967,7.566435e-7,0.000056668614,0.0005697199,0.000534543,0.99411815,0.00006650201,0.0000026369642,0.0031756854],"study_design_scores_gemma":[0.0016193393,0.0003696975,0.13585365,0.00006848799,0.0000096780095,0.00012685744,0.00008701095,0.0963785,0.76385766,0.00006266448,0.0011679004,0.00039852678],"about_ca_topic_score_codex":0.000057324054,"about_ca_topic_score_gemma":0.00006505475,"teacher_disagreement_score":0.23026045,"about_ca_system_score_codex":0.000047187892,"about_ca_system_score_gemma":0.000023225148,"threshold_uncertainty_score":0.6495505},"labels":[],"label_agreement":null},{"id":"W2993100379","doi":"10.5539/mer.v9n2p1","title":"Toward Dynamics, Stability and Processing of The Vision System","year":2019,"lang":"en","type":"article","venue":"Mechanical Engineering Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Ohio State University","keywords":"Perception; Computer science; Stability (learning theory); Artificial intelligence; Dynamics (music); Inverse dynamics; Artificial neural network; Neural system; Human–computer interaction; Control engineering; Neuroscience; Psychology; Engineering; Machine learning; Physics","score_opus":0.05173005700142392,"score_gpt":0.29814633928427203,"score_spread":0.24641628228284812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2993100379","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965317,0.000014390021,0.0022930612,0.00031205112,0.0002443607,0.00031760044,0.0000052025985,0.000045723944,0.00023586553],"genre_scores_gemma":[0.9998176,0.0000034572215,0.00006121945,0.000007790926,0.000015330514,0.0000064246738,2.9774117e-7,0.000011765653,0.00007607777],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987537,0.00010307301,0.00015036279,0.00027772583,0.00048883713,0.0002262639],"domain_scores_gemma":[0.99930185,0.0003137165,0.000025188285,0.00024242148,0.00006452475,0.000052309235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000890018,0.00006659399,0.00011402322,0.000055215263,0.00006862625,0.000042899766,0.00022079734,0.00005499218,0.000009916116],"category_scores_gemma":[0.00065235584,0.000044188535,0.000032858934,0.00037552346,0.00004363646,0.00007950148,0.0002737692,0.00034495106,0.000006252591],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018957751,0.000020059475,0.00009431511,0.0005604923,7.863685e-7,0.0000012059901,0.00003180247,0.00032292336,0.9614158,0.035017252,0.0000021110964,0.0025142976],"study_design_scores_gemma":[0.00010566252,0.00009326338,0.00053380587,0.000115850686,0.0000010511957,0.000007501802,0.000056393215,0.84234154,0.15647708,0.00018196946,0.000038104696,0.000047782618],"about_ca_topic_score_codex":0.000012759892,"about_ca_topic_score_gemma":0.0000015533099,"teacher_disagreement_score":0.8420186,"about_ca_system_score_codex":0.00010570218,"about_ca_system_score_gemma":0.000024304158,"threshold_uncertainty_score":0.18019563},"labels":[],"label_agreement":null},{"id":"W2993316641","doi":"10.1038/s41598-019-54444-z","title":"Determinants of Brain Rhythm Burst Statistics","year":2019,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"General Dynamics (Canada); University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rhythm; Envelope (radar); Amplitude; Ping (video games); Duration (music); Noise (video); Computer science; Bursting; Maxima; Neuroscience; Statistics; Physics; Statistical physics; Mathematics; Biology; Artificial intelligence; Telecommunications","score_opus":0.019158310707267232,"score_gpt":0.26662983487636466,"score_spread":0.24747152416909743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2993316641","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98673165,0.000004847861,0.00022812776,0.000055842567,0.011225705,0.0002299722,0.00002204778,0.00002992152,0.0014718636],"genre_scores_gemma":[0.9790596,0.0000011099212,0.00023244818,0.00010137308,0.000022327667,0.0000030147664,0.000008805459,0.000010958398,0.020560376],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982656,0.000041655454,0.00039259653,0.00060094375,0.00047483077,0.0002243521],"domain_scores_gemma":[0.99875826,0.00013796109,0.0003408855,0.00062456774,0.00007487941,0.00006346074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056335644,0.00009218454,0.00015504817,0.00010937353,0.00011526977,0.00010466268,0.000102493024,0.000035357403,0.00021149663],"category_scores_gemma":[0.0006558482,0.0000790372,0.000047626054,0.000361773,0.00018622994,0.00015631672,0.00006973148,0.00006948302,0.0001057637],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008172232,0.00005054351,0.015204565,0.0000472857,9.3338696e-7,0.00041849422,0.00005861453,0.000064235304,0.96941775,0.0012250701,0.007975238,0.0055291275],"study_design_scores_gemma":[0.000248664,0.00019829955,0.010783495,0.00007340294,0.000010616504,0.0015447859,0.000033737804,0.016425846,0.8844691,0.034049563,0.051794402,0.00036807312],"about_ca_topic_score_codex":0.000010900311,"about_ca_topic_score_gemma":0.000011338791,"teacher_disagreement_score":0.08494861,"about_ca_system_score_codex":0.000017837681,"about_ca_system_score_gemma":0.00006829784,"threshold_uncertainty_score":0.32230434},"labels":[],"label_agreement":null},{"id":"W2994811943","doi":"10.1073/pnas.1913227117","title":"Reactivation of critical period plasticity in adult auditory cortex through chemogenetic silencing of parvalbumin-positive interneurons","year":2019,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Centre for Research on Brain Language and Music; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Fonds de Recherche du Québec-Société et Culture; Government of Canada; Centre for Research on Brain, Language and Music","keywords":"Parvalbumin; Neuroscience; Perineuronal net; Interneuron; Auditory cortex; Neuroplasticity; Sensory system; Biology; Inhibitory postsynaptic potential; Period (music); Cortex (anatomy)","score_opus":0.03139516933122139,"score_gpt":0.2964366413625386,"score_spread":0.2650414720313172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994811943","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971321,0.000003224121,0.000004235352,0.000787408,0.00007853765,0.0001773071,0.0000191826,0.0000040899263,0.001793864],"genre_scores_gemma":[0.9995918,0.000007988507,0.00018751204,0.00014732813,0.000029686282,0.000003897194,6.8227244e-8,0.0000035482312,0.000028144452],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99829626,0.000014364874,0.00039185712,0.0002781915,0.00089598284,0.0001233574],"domain_scores_gemma":[0.99865997,0.00057118497,0.0004598623,0.000009402004,0.00028299,0.000016613249],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002918386,0.00008269052,0.00017431143,0.00012415988,0.00005450639,0.000008497464,0.00041545133,0.000060379032,0.000010573602],"category_scores_gemma":[0.0032385874,0.00006162887,0.000059734637,0.0005871893,0.00091630075,0.00047210077,0.0001130383,0.00016825442,8.0802687e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035763624,0.000079885904,0.0037021195,0.000101748716,0.0000014853289,8.49329e-9,0.00030899612,0.00013170076,0.96557796,0.029996483,0.000013697548,0.000050161434],"study_design_scores_gemma":[0.0001286691,0.00012560109,0.13723853,0.000181686,0.0000051946004,0.0000049419195,0.00020255585,0.0082038045,0.8465632,0.0072941813,0.000001453569,0.000050144383],"about_ca_topic_score_codex":0.000013292929,"about_ca_topic_score_gemma":1.498309e-7,"teacher_disagreement_score":0.13353641,"about_ca_system_score_codex":0.00003759433,"about_ca_system_score_gemma":0.000037368336,"threshold_uncertainty_score":0.38771257},"labels":[],"label_agreement":null},{"id":"W2994884566","doi":"10.1101/2019.12.18.881201","title":"Ignoring correlated activity causes a failure of retinal population codes under moonlight conditions","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Institutes of Health; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Alfred P. Sloan Foundation","keywords":"Noise (video); Population; Decoding methods; Moonlight; Retinal; Retina; Computer science; Neuroscience; Biology; Physics; Telecommunications; Artificial intelligence; Optics; Medicine","score_opus":0.02184822336153399,"score_gpt":0.24080321116008938,"score_spread":0.21895498779855538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994884566","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947588,0.000030609655,0.0015054147,0.00024433815,0.0017385152,0.00074397976,0.0006593383,0.0003072991,0.000011710319],"genre_scores_gemma":[0.9992758,0.000054232147,0.00023395446,0.00011995914,0.00014708519,0.000059282585,0.0000019797194,0.00008960287,0.000018102972],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99729115,0.00026152298,0.00049128925,0.0010394168,0.00049776805,0.00041888276],"domain_scores_gemma":[0.99763495,0.00025713898,0.00077493594,0.0009187033,0.00027397063,0.00014031207],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002565578,0.00046663248,0.00056592183,0.00033016063,0.00022795833,0.00015391731,0.00037844872,0.00050425227,0.0000559117],"category_scores_gemma":[0.00040593636,0.00048867345,0.00018284084,0.0005806742,0.00013740361,0.00031940098,0.00033821477,0.0008848409,0.000042743202],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004466388,0.00012929206,0.011915238,0.00024060886,0.000034175453,0.000014223403,0.0000039698884,0.0037617462,0.9806555,0.003124771,0.00007535982,4.5484452e-7],"study_design_scores_gemma":[0.0003520381,0.00007102787,0.30843568,0.00041276801,0.00010634621,7.9833946e-8,0.0000022609875,0.0087406095,0.68121356,0.000026489022,0.00009463482,0.00054449384],"about_ca_topic_score_codex":0.00016527428,"about_ca_topic_score_gemma":0.000012274631,"teacher_disagreement_score":0.29944193,"about_ca_system_score_codex":0.00026616358,"about_ca_system_score_gemma":0.00023377716,"threshold_uncertainty_score":0.9997565},"labels":[],"label_agreement":null},{"id":"W2994926165","doi":"10.1162/jocn_a_01508","title":"Complexity Matching: Brain Signals Mirror Environment Information Patterns during Music Listening and Reward","year":2019,"lang":"en","type":"article","venue":"Journal of Cognitive Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Psychology; Stimulus (psychology); Perception; Active listening; Cognitive psychology; Electroencephalography; Brain activity and meditation; Cognition; Speech recognition; Communication; Neuroscience; Computer science","score_opus":0.0402167979302346,"score_gpt":0.25693535078109775,"score_spread":0.21671855285086314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994926165","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964194,0.000005157745,0.0018860876,0.00061879616,0.0005746196,0.0002261531,0.000025102296,0.000013936312,0.00023069921],"genre_scores_gemma":[0.9962138,0.00004444387,0.000052446318,0.0035196275,0.000031040654,0.0000018100937,8.078466e-7,0.000008779571,0.00012722693],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998289,0.000161482,0.0004400634,0.0002471502,0.0006078243,0.00025451704],"domain_scores_gemma":[0.9986781,0.00043619837,0.00059061934,0.00009335531,0.00006697638,0.00013479052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038536455,0.00015022728,0.0002047255,0.00020391213,0.00022053483,0.00021657249,0.00021733042,0.000033504133,0.000057159737],"category_scores_gemma":[0.0007293253,0.00012694107,0.000076034376,0.00018123779,0.00017780965,0.0017913415,0.00014570993,0.0003189817,0.000024854135],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010964824,0.000041023864,0.003863178,0.00003480045,0.0000012076321,0.00003463518,0.0007423951,0.00010675597,0.9936002,0.00009632173,0.0000064294713,0.001363401],"study_design_scores_gemma":[0.0025833931,0.0016709826,0.79441446,0.00052709423,0.00002627571,0.0018472403,0.0010910811,0.005878777,0.18900801,0.0015312347,0.00088931486,0.0005321092],"about_ca_topic_score_codex":0.0000056637837,"about_ca_topic_score_gemma":0.0000011861284,"teacher_disagreement_score":0.8045922,"about_ca_system_score_codex":0.000037639096,"about_ca_system_score_gemma":0.000028176717,"threshold_uncertainty_score":0.51765066},"labels":[],"label_agreement":null},{"id":"W2995298769","doi":"10.1101/2019.12.12.874859","title":"Phase of Firing Coding of Learning Variables across Prefrontal Cortex, Anterior Cingulate Cortex and Striatum during Feature Learning","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Neuroscience; Anterior cingulate cortex; Prefrontal cortex; Striatum; Psychology; Posterior cingulate; Cortex (anatomy); Cognition","score_opus":0.013573180229082495,"score_gpt":0.24345628759327262,"score_spread":0.22988310736419013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995298769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99642086,0.00045302094,0.0006168671,0.000019692457,0.0013366082,0.00069901004,0.00022371867,0.00021988523,0.0000103190405],"genre_scores_gemma":[0.99866474,0.00056659896,0.0003620296,0.00001751763,0.0001659574,0.000022233038,7.6882003e-7,0.0001374746,0.00006269137],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99633735,0.00026873808,0.0008138094,0.0013595698,0.0005143899,0.0007061362],"domain_scores_gemma":[0.99712616,0.00023783023,0.0015503383,0.00065927266,0.00024385632,0.00018252507],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006314006,0.0006235182,0.0010499455,0.0002725584,0.00039907958,0.00023728069,0.00045950589,0.0005176687,0.000016604261],"category_scores_gemma":[0.00088876096,0.0006703729,0.00020301802,0.00045300793,0.00022480254,0.00032913746,0.0010530002,0.0017105482,0.000003539642],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024362153,0.00013534672,0.010892793,0.001551096,0.00006163493,0.00004511696,0.000066389905,0.0016544394,0.9852551,0.000076193755,0.0000022615689,0.000016010415],"study_design_scores_gemma":[0.0025165936,0.00038266229,0.16941622,0.0022878053,0.00010628629,4.580894e-7,0.000025736788,0.029437533,0.79497546,0.0000015829794,0.0001017473,0.0007479088],"about_ca_topic_score_codex":0.000040340943,"about_ca_topic_score_gemma":0.0000022163567,"teacher_disagreement_score":0.19027963,"about_ca_system_score_codex":0.00015130547,"about_ca_system_score_gemma":0.00018616334,"threshold_uncertainty_score":0.9995747},"labels":[],"label_agreement":null},{"id":"W2995571684","doi":"10.1016/j.celrep.2019.11.081","title":"The Noisy Brain: Power of Resting-State Fluctuations Predicts Individual Recognition Performance","year":2019,"lang":"en","type":"article","venue":"Cell Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Krembil Foundation","funders":"United States-Israel Binational Science Foundation; Canadian Institute for Advanced Research","keywords":"Neurophysiology; Resting state fMRI; Noise (video); Trait; Electroencephalography; Cognition; Task (project management); Neuroscience; Psychology; Statistical power; Functional connectivity; Neuroimaging; Brain activity and meditation; Cognitive psychology; Audiology; Computer science; Artificial intelligence; Mathematics; Medicine; Statistics","score_opus":0.02214986419364699,"score_gpt":0.22743663663541813,"score_spread":0.20528677244177115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995571684","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9829873,0.000010934272,0.000024502178,0.00023429468,0.001136545,0.00033195704,0.000009993929,0.000043449076,0.015221063],"genre_scores_gemma":[0.9943341,0.000030113146,0.000026395803,0.0002672834,0.000026224003,0.000011316257,0.000015777387,0.000013394899,0.0052754143],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987491,0.00005321827,0.00035430453,0.0002910343,0.00036053528,0.00019185692],"domain_scores_gemma":[0.9987892,0.0003676751,0.00037662947,0.00034146037,0.00008124301,0.000043789136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004302647,0.00009239983,0.00008996484,0.00005185298,0.00019566315,0.00005070516,0.00010468018,0.00003749054,0.00005191824],"category_scores_gemma":[0.00068870245,0.000067468485,0.00004564362,0.0002235747,0.00007654055,0.00018706458,0.00006133388,0.00014154072,0.000052381205],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059885348,0.00011013491,0.011683943,0.000077223754,0.0000069453854,0.00007720774,0.00069432694,0.0008594593,0.9608652,0.00005740641,0.0035053694,0.022002911],"study_design_scores_gemma":[0.00054843293,0.00078868854,0.14891434,0.00012481828,0.000029496105,0.000507369,0.00010041822,0.008806339,0.8168162,0.004005349,0.018935498,0.00042305375],"about_ca_topic_score_codex":0.0000046355754,"about_ca_topic_score_gemma":0.0000024798396,"teacher_disagreement_score":0.14404899,"about_ca_system_score_codex":0.000015675723,"about_ca_system_score_gemma":0.00005797894,"threshold_uncertainty_score":0.27512848},"labels":[],"label_agreement":null},{"id":"W2995866681","doi":"10.48550/arxiv.0909.3305","title":"Topological Entanglement Renyi Entropy and Reduced Density Matrix Structure","year":2009,"lang":"en","type":"article","venue":"DSpace@MIT (Massachusetts Institute of Technology)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Perimeter Institute","funders":"","keywords":"Topological entropy in physics; Quantum entanglement; Rényi entropy; Topology (electrical circuits); Topological entropy; Topological order; Mathematics; Entropy (arrow of time); Density matrix; Topological quantum number; Physics; Quantum mechanics; Combinatorics; Quantum; Principle of maximum entropy","score_opus":0.014379426217286122,"score_gpt":0.26002559440275685,"score_spread":0.24564616818547072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995866681","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97913307,0.000109112865,0.00021818742,0.018734977,0.00066533755,0.00039117798,0.000065383785,0.00033533666,0.00034740384],"genre_scores_gemma":[0.99572897,0.00014024499,0.003160844,0.00061812816,0.00005800939,0.000005753363,0.000009034582,0.000011502757,0.00026751563],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981629,0.00004188808,0.0003550124,0.0006913619,0.0003170042,0.00043183763],"domain_scores_gemma":[0.9990509,0.000029003555,0.0002368036,0.00052842067,0.000056398905,0.000098430304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009090975,0.0002893337,0.00038344818,0.00037118583,0.00024390685,0.000041266336,0.00040258834,0.00038782143,0.000046914338],"category_scores_gemma":[0.000485143,0.00024237698,0.000085282474,0.00061238994,0.0005742815,0.00023309504,0.00019063841,0.00046470814,0.00000690559],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006658241,0.0000936812,0.0014653874,0.000012574527,0.000011727511,0.00008668502,0.00002721264,0.000022417473,0.8931828,0.09407516,0.0005577137,0.010398034],"study_design_scores_gemma":[0.001406785,0.0010655597,0.011927597,0.00005778924,0.00006998553,0.00034749662,0.00005878903,0.00055354874,0.89746463,0.04786471,0.03862036,0.000562733],"about_ca_topic_score_codex":0.000008590667,"about_ca_topic_score_gemma":0.000019205849,"teacher_disagreement_score":0.046210453,"about_ca_system_score_codex":0.000091819675,"about_ca_system_score_gemma":0.00003561707,"threshold_uncertainty_score":0.9883846},"labels":[],"label_agreement":null},{"id":"W2996102005","doi":"10.1016/j.neubiorev.2019.12.024","title":"Why do we move to the beat? A multi-scale approach, from physical principles to brain dynamics","year":2019,"lang":"en","type":"review","venue":"Neuroscience & Biobehavioral Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":123,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; International Laboratory for Brain, Music and Sound Research","funders":"Natural Sciences and Engineering Research Council of Canada; European Commission","keywords":"Entrainment (biomusicology); Rhythm; Neuroscience; Psychology; Perception; Computer science; Physics","score_opus":0.22740492457557393,"score_gpt":0.39122526914573386,"score_spread":0.16382034457015993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996102005","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00078789203,0.97273993,0.0044635125,0.00076987856,0.004539408,0.014363351,0.0018871597,0.00025681715,0.00019207328],"genre_scores_gemma":[0.00004622608,0.982718,0.0010728133,0.012348955,0.00040011154,0.0012990873,0.00006376493,0.00017016953,0.001880896],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99173546,0.0009595241,0.0013980678,0.0034143568,0.0012701601,0.0012224292],"domain_scores_gemma":[0.9956969,0.00008592287,0.00086374854,0.002611622,0.00006647314,0.0006753602],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0007932204,0.0013548902,0.0028097376,0.00036546902,0.0005555882,0.0008714094,0.0037114394,0.0003129937,0.000024616631],"category_scores_gemma":[0.0013614678,0.00081489387,0.0013995448,0.003054342,0.0003570116,0.00041659112,0.0015190012,0.0013125599,0.0011790865],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007283208,0.00040306177,0.0000066776765,0.000749685,1.7209068e-7,0.000012808693,0.0001215769,0.00002718073,0.0036722173,0.00018694757,0.0030224668,0.99178994],"study_design_scores_gemma":[0.00011494206,0.00031653297,0.000027884762,0.0024256296,0.00025529036,0.00004297393,0.000015013605,0.0041164043,0.00001629152,0.00001158591,0.99174744,0.00091003894],"about_ca_topic_score_codex":0.0001030843,"about_ca_topic_score_gemma":0.00008730154,"teacher_disagreement_score":0.9908799,"about_ca_system_score_codex":0.00039136643,"about_ca_system_score_gemma":0.00020844788,"threshold_uncertainty_score":0.9999202},"labels":[],"label_agreement":null},{"id":"W2996240002","doi":"10.3390/e21121234","title":"Mathematics and the Brain: A Category Theoretical Approach to Go Beyond the Neural Correlates of Consciousness","year":2019,"lang":"en","type":"article","venue":"Entropy","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Core Research for Evolutional Science and Technology; Horizon 2020 Framework Programme; Templeton World Charity Foundation; Japan Society for the Promotion of Science; Canadian Institutes of Health Research; European Commission","keywords":"Consciousness; Neural correlates of consciousness; Functor; Cognitive science; Electromagnetic theories of consciousness; Artificial consciousness; Integrated information theory; Natural (archaeology); Epistemology; Computer science; Artificial intelligence; Psychology; Mathematics; Philosophy; Pure mathematics; Neuroscience; Cognition; History","score_opus":0.00936053297203913,"score_gpt":0.21887093964634882,"score_spread":0.2095104066743097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996240002","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9846953,0.000029718762,0.0013304752,0.0062152157,0.00037982193,0.0006864194,0.0000068897148,0.000022362863,0.006633777],"genre_scores_gemma":[0.99661446,0.000006758911,0.00009293484,0.0025711183,0.000029657742,0.00001712326,9.605852e-7,0.000012041036,0.00065496983],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990952,0.00013261191,0.00017270146,0.00021521152,0.00021043893,0.00017383645],"domain_scores_gemma":[0.9981742,0.001396635,0.00007532179,0.00029021595,0.000021164009,0.000042447064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030822348,0.00010588667,0.00016795767,0.00002500146,0.00010634049,0.000057173595,0.00024984457,0.000034600343,0.000041045863],"category_scores_gemma":[0.00039262336,0.000048860333,0.00005502165,0.00015035624,0.0006837133,0.000044712466,0.00012291106,0.0001662374,0.000051747913],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008493719,0.00004264526,0.00025237488,0.000018399469,0.00000381212,7.4446547e-7,0.0009281726,0.00014026168,0.035265833,0.9626116,0.00046900485,0.00018217656],"study_design_scores_gemma":[0.0026638494,0.00032203196,0.0014008791,0.000019739373,0.00005929065,0.00021486843,0.0011130136,0.7307586,0.01166568,0.25053898,0.0009275891,0.00031550415],"about_ca_topic_score_codex":0.0000033697595,"about_ca_topic_score_gemma":4.0084748e-7,"teacher_disagreement_score":0.7306183,"about_ca_system_score_codex":0.0000070956507,"about_ca_system_score_gemma":0.00001052939,"threshold_uncertainty_score":0.251917},"labels":[],"label_agreement":null},{"id":"W2996560686","doi":"10.1038/s42003-019-0707-9","title":"Decoding speech from spike-based neural population recordings in secondary auditory cortex of non-human primates","year":2019,"lang":"en","type":"article","venue":"Communications Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Brown University; Advanced Research Projects Agency; Defense Advanced Research Projects Agency; U.S. Department of Defense","keywords":"Auditory cortex; Decoding methods; Neural decoding; Computer science; Spike sorting; Population; Neural coding; Brain–computer interface; Speech recognition; Neuroscience; Neocortex; Spike (software development); Electroencephalography; Psychology; Artificial intelligence; Medicine","score_opus":0.03214887224002778,"score_gpt":0.3186539397408616,"score_spread":0.2865050675008338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996560686","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966466,0.000034278622,0.0000585209,0.0004203568,0.00049511157,0.00025463494,0.000041723997,0.00003605646,0.0020127262],"genre_scores_gemma":[0.99813884,0.000033218537,0.0010879006,0.00033066428,0.000028353052,0.000014409188,0.0003031273,0.000011993872,0.000051508687],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99896705,0.00021074577,0.0003527926,0.00026598538,0.0000526335,0.00015078434],"domain_scores_gemma":[0.998195,0.0006115501,0.00024242862,0.00089293864,0.000032995817,0.000025091309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015690562,0.00010224125,0.00020317164,0.00017951669,0.00011814034,0.000014691186,0.0006042132,0.00010039506,0.00011854461],"category_scores_gemma":[0.00013323185,0.000101737525,0.000052426338,0.00023080861,0.00013019805,0.00012420284,0.00020856911,0.00026066732,0.000031290536],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014117387,0.00005602538,0.15029342,0.000009694275,0.0000015402579,3.147198e-7,0.00002318476,0.000024767869,0.8389871,0.00092973193,0.000032776225,0.009627301],"study_design_scores_gemma":[0.00079405494,0.00020923925,0.8553836,0.00005055554,0.000009451221,0.0000030604451,0.000036704932,0.10986774,0.028102389,0.0045059356,0.0008126986,0.0002245845],"about_ca_topic_score_codex":0.0006613352,"about_ca_topic_score_gemma":0.00034111802,"teacher_disagreement_score":0.8108847,"about_ca_system_score_codex":0.00006135089,"about_ca_system_score_gemma":0.000025428248,"threshold_uncertainty_score":0.4148736},"labels":[],"label_agreement":null},{"id":"W2996619516","doi":"10.1016/j.cell.2019.11.004","title":"Ultrafast Two-Photon Imaging of a High-Gain Voltage Indicator in Awake Behaving Mice","year":2019,"lang":"en","type":"article","venue":"Cell","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":352,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; National Institutes of Health; Canadian Institutes of Health Research; Université de Paris; Epilepsy Society; Natural Sciences and Engineering Research Council of Canada; Fédération pour la Recherche sur le Cerveau; Institut des sciences biologiques; Centre National de la Recherche Scientifique; Stanford Engineering; China Scholarship Council; Fondation pour la Recherche Médicale; National Natural Science Foundation of China; Institut National de la Santé et de la Recherche Médicale; Université Laval; Stanford University; École Normale Supérieure; American Epilepsy Society; Agence Nationale de la Recherche; Howard Hughes Medical Institute","keywords":"Subthreshold conduction; Biology; Soma; Temporal resolution; Responsivity; Optogenetics; Ultrashort pulse; Neuroscience; Biophysics; Physics; Voltage; Optics; Laser; Detector; Transistor","score_opus":0.0086149224706813,"score_gpt":0.2225582404079142,"score_spread":0.2139433179372329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996619516","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965144,0.00000671802,0.00007582123,0.000048931408,0.0004316793,0.00021467214,0.000015259564,0.000027343833,0.0026651702],"genre_scores_gemma":[0.99870086,0.0000063917823,0.000028459946,0.00034450664,0.000021407212,0.000005340801,0.000004416945,0.000017100983,0.00087149924],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99904937,0.000043268006,0.00020010262,0.0003275337,0.00016309803,0.00021661022],"domain_scores_gemma":[0.9995093,0.00012004591,0.00012111124,0.0001968831,0.000010133244,0.00004253163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014246484,0.00010125034,0.0001387376,0.00013737,0.000029935114,0.000023252398,0.00018365587,0.000029570969,0.00010350275],"category_scores_gemma":[0.000040421764,0.00009841731,0.000041731546,0.00022553017,0.000040842657,0.00013355498,0.000053215947,0.00016832624,0.000111493726],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000759431,0.00006822023,0.04470163,0.000028763283,2.72377e-7,0.000012944512,0.00010442183,0.00008633802,0.95454484,0.00014231817,0.000016271515,0.00028636123],"study_design_scores_gemma":[0.00059334526,0.000027601345,0.021835566,0.000025484604,0.000003608277,0.0000052043615,0.000046056703,0.0051507032,0.9719003,0.00011641343,0.00017875557,0.00011698287],"about_ca_topic_score_codex":0.00024186265,"about_ca_topic_score_gemma":0.000014231246,"teacher_disagreement_score":0.022866061,"about_ca_system_score_codex":0.000036162135,"about_ca_system_score_gemma":0.000021066544,"threshold_uncertainty_score":0.40133414},"labels":[],"label_agreement":null},{"id":"W2996753664","doi":"10.1038/s41593-019-0557-2","title":"SOM cells are better at detecting emotion","year":2019,"lang":"en","type":"letter","venue":"Nature Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"CIHR Skin Research Training Centre; Government of Canada","keywords":"Neuroscience; Psychology; Neuroscientist; Systems neuroscience; Population; Cognitive psychology; Medicine; Central nervous system","score_opus":0.0181983546462894,"score_gpt":0.23675672611396073,"score_spread":0.21855837146767132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996753664","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35528374,0.000070775626,0.00020618664,0.5914598,0.04754998,0.0014464257,0.00029828137,0.0006423468,0.0030424695],"genre_scores_gemma":[0.20257415,0.000033235516,0.00003055022,0.7871088,0.0023652632,0.000012773084,0.000014117002,0.000092248025,0.007768891],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9944645,0.00031014753,0.000401965,0.0023007756,0.0015166309,0.0010059616],"domain_scores_gemma":[0.9975029,0.0006904446,0.0006671495,0.0009933271,0.000060402017,0.00008575224],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0001814836,0.0006180807,0.0004523553,0.00035907837,0.0006628766,0.00038679072,0.0012745076,0.0017258435,0.000050921783],"category_scores_gemma":[0.0011812376,0.00053971825,0.00027709606,0.0009114178,0.00027074554,0.0004667443,0.0005328283,0.007035927,0.00038595445],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007204026,0.000011300529,0.00012660162,0.00006583896,4.6307815e-7,0.0003360446,0.000008601013,0.000046689256,0.6983739,0.000003564004,0.30064076,0.00037905553],"study_design_scores_gemma":[0.00020733295,0.00013399927,0.0011038396,0.00009245429,0.000018959443,0.0002400018,0.0000018540985,0.0028711965,0.30407274,0.00009092084,0.6904783,0.0006883682],"about_ca_topic_score_codex":0.0000036825402,"about_ca_topic_score_gemma":0.000002517204,"teacher_disagreement_score":0.39430115,"about_ca_system_score_codex":0.00017717779,"about_ca_system_score_gemma":0.000058878257,"threshold_uncertainty_score":0.99970543},"labels":[],"label_agreement":null},{"id":"W2999321776","doi":"10.1002/ima.22398","title":"Enhancing multivariate pattern analysis for magnetoencephalography through relevant sensor selection","year":2020,"lang":"en","type":"article","venue":"International Journal of Imaging Systems and Technology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Brain Institute; Western University","funders":"","keywords":"Computer science; Magnetoencephalography; Dimensionality reduction; Artificial intelligence; Pattern recognition (psychology); Feature selection; Principal component analysis; Cluster analysis; Unsupervised learning; Decoding methods; Pipeline (software); Selection (genetic algorithm); Feature (linguistics); Mutual information; Multivariate statistics; Machine learning; Psychology","score_opus":0.017249797000230965,"score_gpt":0.2693448880303046,"score_spread":0.25209509103007366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999321776","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34499788,0.00017215741,0.64064604,0.012874631,0.0010532168,0.0001429793,0.000023864091,0.00005948723,0.0000297514],"genre_scores_gemma":[0.9979408,0.00006722675,0.0011932462,0.00053571316,0.00022876236,0.000005604145,0.0000014914763,0.000009428305,0.000017728691],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99898314,0.000039423558,0.00041641586,0.00022236892,0.0002065637,0.00013210054],"domain_scores_gemma":[0.9990046,0.00012873585,0.00044171634,0.000049000024,0.0003385254,0.00003740167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013652405,0.00009825816,0.00022022569,0.00046203015,0.00007118007,0.00009728754,0.0001976354,0.000047239995,0.000004278951],"category_scores_gemma":[0.00038062755,0.00008130603,0.00011063471,0.00052966154,0.00005838939,0.00022718881,0.000040329116,0.00016864763,0.0000010722288],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000658974,0.000031284035,0.027724028,0.000024510995,0.00022710802,0.00007063634,0.00016309603,0.00065907824,0.9570215,0.0028896003,0.00007630636,0.011046972],"study_design_scores_gemma":[0.003810604,0.0011638467,0.0062527247,0.00027549258,0.0006466139,0.0034001893,0.001351882,0.71089613,0.24529062,0.0058698105,0.020360846,0.00068120303],"about_ca_topic_score_codex":0.000054639706,"about_ca_topic_score_gemma":0.0000060045095,"teacher_disagreement_score":0.71173084,"about_ca_system_score_codex":0.000028289014,"about_ca_system_score_gemma":0.000016084798,"threshold_uncertainty_score":0.33155638},"labels":[],"label_agreement":null},{"id":"W2999511370","doi":"10.1101/2020.01.07.896191","title":"Constructing plasticity phenotypes to classify experience-dependent development of the visual cortex","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Plasticity; Visual cortex; Neuroplasticity; Neuroscience; Developmental plasticity; Phenotypic plasticity; Computer science; Biology; Artificial intelligence","score_opus":0.030969866553383008,"score_gpt":0.24895762716291164,"score_spread":0.21798776060952862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999511370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917653,0.00000976528,0.0044430657,0.0002722927,0.002491089,0.0007111237,0.00009999725,0.00018346217,0.00002388769],"genre_scores_gemma":[0.9967399,0.000004890873,0.002345975,0.0005545852,0.00018958835,0.00009698408,6.1016415e-8,0.000063344014,0.0000046516675],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968739,0.00015211894,0.000682331,0.0011279753,0.0007248426,0.00043879083],"domain_scores_gemma":[0.99831545,0.00016976267,0.00056402234,0.00050418923,0.00019416741,0.00025240384],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017629415,0.0004350344,0.000461811,0.000120041135,0.0003199048,0.00016012722,0.00082445506,0.00023751105,0.00003575705],"category_scores_gemma":[0.0012052369,0.00036603806,0.00012100253,0.00057790347,0.00020643817,0.00009403053,0.0014069497,0.00070526206,0.000039576164],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004052282,0.00006281491,0.002702228,0.000114866045,0.000017116734,0.000010750091,0.00007266409,0.00007072496,0.9956172,0.0012559084,0.000018458592,0.000016756496],"study_design_scores_gemma":[0.00018940563,0.000039489507,0.043070678,0.00019893203,0.000024518513,3.2577816e-8,0.000024055875,0.0021060575,0.95347816,0.0000030684057,0.00043889214,0.00042672644],"about_ca_topic_score_codex":0.000013732407,"about_ca_topic_score_gemma":0.0000072805738,"teacher_disagreement_score":0.042139046,"about_ca_system_score_codex":0.00030373654,"about_ca_system_score_gemma":0.00067728077,"threshold_uncertainty_score":0.9998792},"labels":[],"label_agreement":null},{"id":"W2999715747","doi":"10.1007/s11571-020-09568-8","title":"Machine classification of spatiotemporal patterns: automated parameter search in a rebounding spiking network","year":2020,"lang":"en","type":"article","venue":"Cognitive Neurodynamics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Coupling strength; Computer science; Pattern recognition (psychology); Gaussian; Biological system; Artificial intelligence; Classifier (UML); Traveling wave; Coupling (piping); Stimulus (psychology); Physics; Mathematics; Biology","score_opus":0.07631640587825395,"score_gpt":0.3042059108627166,"score_spread":0.22788950498446264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999715747","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895934,0.000007984644,0.008385475,0.0006005718,0.00027776646,0.00047110155,0.000088402434,0.0001990622,0.00037623444],"genre_scores_gemma":[0.9981435,0.00004366474,0.00009656606,0.0015022724,0.00007775676,0.000014075686,0.00007167227,0.000038664748,0.000011833771],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979512,0.00035432764,0.00044468572,0.0005891237,0.00031891832,0.0003417555],"domain_scores_gemma":[0.99879354,0.0006766855,0.00021325791,0.00014161957,0.00008170551,0.00009319042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020288157,0.00019045763,0.00025586673,0.00012760694,0.00009477836,0.00006326221,0.00018801115,0.00007900127,0.000015474809],"category_scores_gemma":[0.0013110217,0.00019430797,0.000073557465,0.0008382579,0.00010048225,0.00021859215,0.00011813187,0.0004084792,0.000013441209],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009500234,0.000352266,0.4844447,0.000402256,0.000019789502,0.00029952344,0.0009705708,0.010660814,0.46042937,0.0048061176,0.000043584943,0.036620967],"study_design_scores_gemma":[0.0004576533,0.00020047113,0.18253386,0.00009157467,0.00000989755,0.00000720956,0.00004256997,0.81363875,0.0026858302,0.00017145168,0.000012384675,0.00014834305],"about_ca_topic_score_codex":0.000040893596,"about_ca_topic_score_gemma":0.000047267116,"teacher_disagreement_score":0.8029779,"about_ca_system_score_codex":0.000046249086,"about_ca_system_score_gemma":0.000037194102,"threshold_uncertainty_score":0.7923649},"labels":[],"label_agreement":null},{"id":"W2999775726","doi":"10.3389/fnagi.2019.00371","title":"Age-Related Changes in Cortical Connectivity During Surgical Anesthesia","year":2020,"lang":"en","type":"article","venue":"Frontiers in Aging Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Institute of General Medical Sciences; National Institutes of Health","keywords":"Electroencephalography; Functional connectivity; Alpha (finance); Confounding; Neuroscience; Resting state fMRI; Anesthetic; Anesthesia; Psychology; Medicine; Internal medicine; Clinical psychology","score_opus":0.025958178730977704,"score_gpt":0.24150924537811538,"score_spread":0.2155510666471377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999775726","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909051,0.00002017395,0.0002687253,0.007426173,0.00081148907,0.00023085716,0.0000017312243,0.00012945716,0.00020631557],"genre_scores_gemma":[0.9974148,0.000059471324,0.00007348585,0.0022875743,0.000037667793,0.000011898549,5.220605e-7,0.000017760729,0.00009678186],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9975968,0.00031525313,0.00026480766,0.0009121521,0.00036718088,0.0005438185],"domain_scores_gemma":[0.99941206,0.00014929594,0.0000766521,0.00017938395,0.000008258156,0.00017434936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025807437,0.00018378595,0.00027030782,0.00021374988,0.00016607155,0.000100259815,0.00040446597,0.00006762153,0.0000076287365],"category_scores_gemma":[0.000949434,0.00018097104,0.000045158682,0.0016202438,0.00038442775,0.00028649313,0.000115210714,0.000575327,0.000006284121],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012992063,0.00013833544,0.13802688,0.000040618692,4.790763e-7,0.0101828305,0.00064317905,0.0025163486,0.8460037,0.0008603061,0.00015168803,0.0013057316],"study_design_scores_gemma":[0.0022596838,0.00034543817,0.47971576,0.000093356524,0.0000065742825,0.0007424829,0.00013435559,0.41928008,0.093228236,0.00086021016,0.00254895,0.00078485755],"about_ca_topic_score_codex":0.000014669827,"about_ca_topic_score_gemma":0.000011484843,"teacher_disagreement_score":0.75277543,"about_ca_system_score_codex":0.000072857256,"about_ca_system_score_gemma":0.000027169266,"threshold_uncertainty_score":0.73797846},"labels":[],"label_agreement":null},{"id":"W2999858333","doi":"10.1038/s41467-019-14166-2","title":"Electrophysiological dynamics of antagonistic brain networks reflect attentional fluctuations","year":2020,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":134,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; National Natural Science Foundation of China; National Institute of Child Health and Human Development; Canadian Institutes of Health Research; U.S. Department of Veterans Affairs; U.S. Department of Health and Human Services; National Science Foundation","keywords":"Electrophysiology; Neuroscience; Electroencephalography; Dynamics (music); Biology; Psychology","score_opus":0.03963506748644536,"score_gpt":0.3114095595566844,"score_spread":0.27177449207023907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999858333","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43090934,0.0016917152,0.09074414,0.45432958,0.0012501441,0.0018709945,0.0007495849,0.00087882334,0.017575702],"genre_scores_gemma":[0.9923082,0.00020210704,0.0012373748,0.0057714405,0.00006674519,0.000016967628,0.00031399072,0.00001257333,0.000070600356],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989191,0.00023554527,0.0002505221,0.00025546216,0.00017605744,0.00016326715],"domain_scores_gemma":[0.99816835,0.00090307655,0.00013984619,0.0006216961,0.00009558037,0.00007142761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000080414946,0.00010980682,0.00015092915,0.000045271787,0.0003371612,0.000027503678,0.0008202418,0.00017136853,0.00003877604],"category_scores_gemma":[0.0014128996,0.00009865328,0.0001018827,0.0006771715,0.00022421182,0.00008442047,0.00024802863,0.0009213269,0.000013805046],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051822757,0.00012699894,0.0001473108,0.0000068029763,0.000009590262,9.097474e-7,0.000021837172,0.0016451485,0.53917515,0.45517358,0.0022243964,0.001416426],"study_design_scores_gemma":[0.00026567007,0.00031501957,0.007315039,0.000010375023,0.000026087237,0.000012645855,0.000014611685,0.9779242,0.0023434763,0.0058185942,0.005754668,0.0001995878],"about_ca_topic_score_codex":0.0000028233162,"about_ca_topic_score_gemma":0.000043373664,"teacher_disagreement_score":0.9762791,"about_ca_system_score_codex":0.0000464123,"about_ca_system_score_gemma":0.000041525556,"threshold_uncertainty_score":0.40229642},"labels":[],"label_agreement":null},{"id":"W3000211002","doi":"10.1162/neco_a_01261","title":"Switching in Cerebellar Stellate Cell Excitability in Response to a Pair of Inhibitory/Excitatory Presynaptic Inputs: A Dynamical System Perspective","year":2020,"lang":"en","type":"letter","venue":"Neural Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Physics; Neuroscience; Purkinje cell; Limit cycle; Context (archaeology); Cerebellum; Biological system; Mathematics; Mathematical analysis; Biology; Limit (mathematics)","score_opus":0.02110265414231804,"score_gpt":0.2516251530297402,"score_spread":0.23052249888742216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000211002","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91233426,0.000022433505,0.0012041266,0.08387904,0.00077127415,0.0014754515,0.0000490277,0.00014969861,0.000114704446],"genre_scores_gemma":[0.95280796,0.0000013851545,0.000099013465,0.046692636,0.00024336467,0.00004238191,0.00001905696,0.00006970658,0.00002448937],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.994032,0.0024428307,0.0009895071,0.001330242,0.00071520545,0.00049017055],"domain_scores_gemma":[0.99712837,0.0018743802,0.00043376308,0.0003246997,0.00012908233,0.000109713474],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00049749186,0.0004628027,0.0007182443,0.0007505697,0.000080954924,0.00007948292,0.00035653883,0.0004051327,0.0000032334096],"category_scores_gemma":[0.0008526033,0.00048122086,0.00017800578,0.0011146908,0.00008440249,0.0002305018,0.00021483445,0.0020094204,0.000022084343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0060066422,0.0003878289,0.0013168182,0.0038599835,0.000021196232,0.0040101963,0.008912062,0.124234684,0.84375757,0.00010783481,0.006103766,0.0012813902],"study_design_scores_gemma":[0.0016178533,0.0012768345,0.006159891,0.000626429,0.000027775706,0.000052005085,0.0005561848,0.98491496,0.0024737038,0.00087162195,0.00057225674,0.0008504763],"about_ca_topic_score_codex":0.00019863185,"about_ca_topic_score_gemma":0.00004414027,"teacher_disagreement_score":0.8606803,"about_ca_system_score_codex":0.0012831228,"about_ca_system_score_gemma":0.00014907951,"threshold_uncertainty_score":0.99976397},"labels":[],"label_agreement":null},{"id":"W3000676033","doi":"10.3389/fncir.2019.00081","title":"Inhibitory Network Bistability Explains Increased Interneuronal Activity Prior to Seizure Onset","year":2020,"lang":"en","type":"article","venue":"Frontiers in Neural Circuits","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Neuroscience; Inhibitory postsynaptic potential; Interneuron; Bistability; GABAergic; Excitatory postsynaptic potential; Nerve net; Premovement neuronal activity; Biology; Psychology; Physics","score_opus":0.03133743438721865,"score_gpt":0.24043153734775247,"score_spread":0.20909410296053382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000676033","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906771,0.000024667988,0.002312977,0.002788313,0.002824918,0.0007403092,0.00008888429,0.0001961781,0.0003466357],"genre_scores_gemma":[0.9895576,0.000004949839,0.000093528986,0.0097805085,0.0003908659,0.00004659941,0.000008402421,0.000041824303,0.000075703145],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9969634,0.00051780243,0.00036754028,0.0010677413,0.00044372992,0.0006398239],"domain_scores_gemma":[0.9988341,0.00022421536,0.00012580391,0.00034497416,0.000032508036,0.00043844694],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022607343,0.00032405267,0.00040181007,0.00012480175,0.00018811892,0.00009811353,0.00047488624,0.00012138468,0.00003528267],"category_scores_gemma":[0.0012331568,0.0003279721,0.0001366274,0.0009695947,0.00012406017,0.00038225707,0.00023033531,0.0006749806,0.00003262118],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020392959,0.0005859953,0.2939553,0.00024014505,0.000023282477,0.00081669487,0.0016907142,0.008014582,0.5050652,0.00021021234,0.09539648,0.09196208],"study_design_scores_gemma":[0.00420527,0.0021305226,0.62513894,0.0001697958,0.000055107805,0.00013768517,0.00024417977,0.26401964,0.077731945,0.0011661921,0.022597808,0.002402897],"about_ca_topic_score_codex":0.000029894009,"about_ca_topic_score_gemma":0.00003554037,"teacher_disagreement_score":0.4273333,"about_ca_system_score_codex":0.00017811383,"about_ca_system_score_gemma":0.000073629155,"threshold_uncertainty_score":0.9999172},"labels":[],"label_agreement":null},{"id":"W3000728369","doi":"10.1038/s41467-019-13930-8","title":"Ventromedial prefrontal cortex compression during concept learning","year":2020,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":170,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Mental Health; Leverhulme Trust; National Institute of Child Health and Human Development; Wellcome Trust","keywords":"Ventromedial prefrontal cortex; Prefrontal cortex; Dimensionality reduction; Computer science; Curse of dimensionality; Artificial intelligence; Focus (optics); Cognitive psychology; Machine learning; Psychology; Neuroscience; Cognition; Physics","score_opus":0.027739281372517757,"score_gpt":0.2807500168248542,"score_spread":0.25301073545233643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000728369","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9799782,0.0007646216,0.00015679678,0.013179387,0.00060929626,0.0003676669,0.00003947956,0.00044516107,0.0044593597],"genre_scores_gemma":[0.9980029,0.00014770962,0.00022848413,0.001240254,0.00012162306,0.000011956032,0.000056676552,0.00001463579,0.00017579508],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99912345,0.00017662176,0.00014528772,0.00022864975,0.00018072732,0.00014524645],"domain_scores_gemma":[0.9991162,0.00022366011,0.000094236726,0.00043901888,0.000029039695,0.00009785036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000030862313,0.00009343367,0.00010343691,0.000027969196,0.00052596186,0.000045722394,0.00067636196,0.00011898109,0.000048388378],"category_scores_gemma":[0.00052657974,0.00008791753,0.00005429051,0.0002193897,0.00011995369,0.00014786088,0.00041622116,0.0012828705,0.000046236986],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025342722,0.00003741111,0.00031275582,0.000004421895,0.0000024035278,0.0000029497419,0.00034129803,0.000113245296,0.99547666,0.002603077,0.0003691003,0.00071135483],"study_design_scores_gemma":[0.0033658112,0.0005510557,0.28161785,0.00012094377,0.00006739032,0.00008630819,0.000504272,0.21411519,0.20650095,0.000421405,0.29163384,0.0010149813],"about_ca_topic_score_codex":0.0000026211599,"about_ca_topic_score_gemma":0.0000072436424,"teacher_disagreement_score":0.7889757,"about_ca_system_score_codex":0.000030203519,"about_ca_system_score_gemma":0.000016965614,"threshold_uncertainty_score":0.5573505},"labels":[],"label_agreement":null},{"id":"W3001107821","doi":"10.1101/2020.01.23.916841","title":"Distinct neural variables underlie subjective reports of attention","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agence Nationale de la Recherche; Canadian Institute for Advanced Research","keywords":"Pupillometry; Magnetoencephalography; Psychology; Somatosensory system; Stimulus (psychology); Audiology; Arousal; Vigilance (psychology); Pupil; Pupillary response; Cognitive psychology; Sensory stimulation therapy; Pupil size; Electroencephalography; Sensory system; Neuroscience","score_opus":0.026162650186399274,"score_gpt":0.22934299990752113,"score_spread":0.20318034972112187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3001107821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921402,0.00007195847,0.0029074408,0.0004113438,0.0030615877,0.0007462566,0.00022284036,0.00038800944,0.000050395753],"genre_scores_gemma":[0.9987753,0.00005120103,0.00042593313,0.00024264198,0.00031917257,0.00007284102,7.0774064e-7,0.00010391567,0.000008276401],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9964693,0.00025365874,0.0007782556,0.0015017097,0.00056406506,0.000432977],"domain_scores_gemma":[0.9972408,0.00018757486,0.0010756832,0.0009999861,0.000280705,0.00021528779],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00029139192,0.000504821,0.00060831633,0.0001948711,0.00017955605,0.00017529054,0.00040244375,0.0003443177,0.00003360866],"category_scores_gemma":[0.0013084774,0.0005199472,0.0002506848,0.0006623077,0.00018721526,0.00021306012,0.0005990991,0.0007717005,0.000017044124],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004714015,0.0001141943,0.0058471733,0.00031193986,0.000031565156,0.0002454354,0.0000037034615,0.000116820076,0.99071705,0.0024763236,0.00008664809,0.0000019896136],"study_design_scores_gemma":[0.000421592,0.00021103997,0.31755486,0.0003339988,0.00019395832,3.3910368e-7,0.0000024921665,0.0126852775,0.6667866,0.0002648455,0.00050464954,0.0010403732],"about_ca_topic_score_codex":0.00006193575,"about_ca_topic_score_gemma":0.0000023148493,"teacher_disagreement_score":0.32393047,"about_ca_system_score_codex":0.00018893181,"about_ca_system_score_gemma":0.00029369124,"threshold_uncertainty_score":0.9997252},"labels":[],"label_agreement":null},{"id":"W3001203561","doi":"10.1038/s41398-020-0713-1","title":"Stress impacts sensory variability through cortical sensory activity motifs","year":2020,"lang":"en","type":"article","venue":"Translational Psychiatry","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia Hospital; University of British Columbia; University of Alberta; McGill University Health Centre; University of Calgary","funders":"Canadian Institutes of Health Research; Government of Canada","keywords":"Sensory system; Somatosensory system; Neuroscience; Sensory processing; Sensory gating; Neocortex; Sensory cortex; Psychology; Gating","score_opus":0.05535865744371385,"score_gpt":0.29397549671702344,"score_spread":0.2386168392733096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3001203561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95315504,0.000017142931,0.01492136,0.025822071,0.0010561498,0.00030773375,0.00039896666,0.00020046838,0.004121052],"genre_scores_gemma":[0.99395466,0.000008978352,0.0011155864,0.004344603,0.00047509346,0.0000044960034,0.000015075763,0.000024248164,0.000057278834],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9980042,0.0003178639,0.0002776357,0.0006274404,0.000469457,0.0003033829],"domain_scores_gemma":[0.99898976,0.00047342628,0.00008365587,0.00021873075,0.000035876743,0.00019853705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013444708,0.00020952988,0.00019838009,0.000024789837,0.00023018397,0.000048179216,0.00015287247,0.00012050116,0.00031726275],"category_scores_gemma":[0.00023891787,0.00019689744,0.00015575282,0.00026426566,0.00014041265,0.00038450555,0.000018984536,0.00048381055,0.00010467093],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010475251,0.00081781234,0.04959985,0.0002631683,0.000034655845,0.000017653261,0.0006509702,0.00566307,0.8701272,0.06901851,0.00080014055,0.0019594564],"study_design_scores_gemma":[0.0035007724,0.00062848063,0.61637074,0.00006420424,0.00013865868,0.00008053995,0.00010099678,0.23697606,0.06584026,0.072985314,0.0019176889,0.0013962896],"about_ca_topic_score_codex":0.000010623422,"about_ca_topic_score_gemma":0.000012297684,"teacher_disagreement_score":0.80428696,"about_ca_system_score_codex":0.00001940558,"about_ca_system_score_gemma":0.00012729292,"threshold_uncertainty_score":0.80292445},"labels":[],"label_agreement":null},{"id":"W3001304777","doi":"10.1002/hbm.24930","title":"Functional brain networks of patients with epilepsy exhibit pronounced multiscale periodicities, which correlate with seizure onset","year":2020,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"European Regional Development Fund; Research Promotion Foundation","keywords":"Ictal; Epilepsy; Electroencephalography; Neuroscience; Scalp; Epileptic seizure; Psychology; Brain activity and meditation; Audiology; Medicine; Surgery","score_opus":0.02506560407962618,"score_gpt":0.20803567764934078,"score_spread":0.1829700735697146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3001304777","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97926104,0.000007630057,0.015949873,0.0030030005,0.00019534836,0.00076511997,0.00007560661,0.00014986657,0.00059252157],"genre_scores_gemma":[0.9935254,0.0000010238338,0.00017199627,0.0050071054,0.00014415522,0.00004043303,0.00020038096,0.000051017316,0.00085852714],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977622,0.00017219993,0.00038423232,0.0007169196,0.00054146023,0.0004230141],"domain_scores_gemma":[0.99877477,0.00032450125,0.00031671862,0.0002613043,0.00015954122,0.00016318519],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016689033,0.00030655108,0.00033323036,0.00009494998,0.0005533116,0.00009874246,0.00021536487,0.00010549712,0.00021416691],"category_scores_gemma":[0.00026477865,0.00024605053,0.000063690546,0.0006587563,0.00021834322,0.00028789107,0.00009599318,0.00046704177,0.000014385634],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035482252,0.00094103813,0.4913354,0.0006887648,0.00019670177,0.00010750268,0.008472371,0.115571044,0.32499334,0.006617445,0.045394205,0.0021339718],"study_design_scores_gemma":[0.0044775507,0.0017936163,0.9055528,0.00033344858,0.00003147363,0.000019937417,0.00038709957,0.08099852,0.00029017802,0.00013171944,0.0052134353,0.0007702465],"about_ca_topic_score_codex":0.000014064107,"about_ca_topic_score_gemma":0.000060271035,"teacher_disagreement_score":0.41421738,"about_ca_system_score_codex":0.00005737965,"about_ca_system_score_gemma":0.000075322605,"threshold_uncertainty_score":0.99999917},"labels":[],"label_agreement":null},{"id":"W3001541902","doi":"10.1152/jn.00614.2019","title":"Single-unit activity in marmoset posterior parietal cortex in a gap saccade task","year":2020,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research; Government of Canada","keywords":"Marmoset; Posterior parietal cortex; Saccade; Neuroscience; Psychology; Task (project management); Cortex (anatomy); Parietal lobe; Communication; Eye movement; Biology","score_opus":0.061851757554499384,"score_gpt":0.27182717103763315,"score_spread":0.20997541348313375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3001541902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961895,0.000004004945,0.00001471523,0.0030721943,0.000506994,0.000100116835,0.000009022055,0.00000942292,0.00009403619],"genre_scores_gemma":[0.99504876,0.00003519457,0.000017116112,0.00471817,0.00014570277,0.000001135533,6.3126953e-7,0.000016557173,0.00001675184],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984946,0.00039426915,0.00040825093,0.00027867928,0.00016552694,0.00025865785],"domain_scores_gemma":[0.99917674,0.00025545183,0.0003251408,0.00010483946,0.000028140816,0.000109709326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004523224,0.00014394485,0.00035938618,0.00015283392,0.000032298307,0.000026746055,0.0002611667,0.000072765106,0.000028199376],"category_scores_gemma":[0.0005606481,0.0001232093,0.00009839822,0.00042722397,0.00008592971,0.00024562547,0.00010782369,0.0006841031,0.00001844481],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009403934,0.00016421807,0.00030861335,0.000012770117,0.0000017954469,0.0010073076,0.00007304746,0.0003717309,0.9938542,0.000022644404,0.000022494178,0.0032207782],"study_design_scores_gemma":[0.003558342,0.0091595715,0.85999143,0.000063880536,0.000021925842,0.0013064739,0.00004793684,0.025691623,0.095846534,0.0011749625,0.0026517499,0.00048556048],"about_ca_topic_score_codex":0.000008059242,"about_ca_topic_score_gemma":0.0000056685276,"teacher_disagreement_score":0.8980077,"about_ca_system_score_codex":0.000030548625,"about_ca_system_score_gemma":0.00004523856,"threshold_uncertainty_score":0.50243294},"labels":[],"label_agreement":null},{"id":"W3004857959","doi":"10.1162/artl_a_00309","title":"Evolution Towards Criticality in Ising Neural Agents","year":2020,"lang":"en","type":"article","venue":"Artificial Life","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Criticality; Critical point (mathematics); Computer science; Statistical physics; Artificial life; Ising model; Phase transition; Artificial intelligence; Physics; Mathematics","score_opus":0.12586709445365585,"score_gpt":0.3138912742789852,"score_spread":0.18802417982532937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004857959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9833438,0.000004800919,0.0010147727,0.013668583,0.0005505033,0.0001270229,0.0000103692655,0.000081613325,0.0011985395],"genre_scores_gemma":[0.9890448,0.0000011322866,0.000020953341,0.010625838,0.00027750395,0.0000038018654,0.0000021970466,0.000009338836,0.000014435056],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988275,0.00013113003,0.0002438698,0.000333888,0.00022592963,0.00023766325],"domain_scores_gemma":[0.99963176,0.00006761622,0.000032374515,0.00009705787,0.000017687005,0.00015347365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011101406,0.00008675804,0.00011056212,0.00003722317,0.00010234509,0.00006515288,0.00010945494,0.000042398773,0.000073910014],"category_scores_gemma":[0.002098036,0.00008584875,0.00004737525,0.00035894106,0.000058354206,0.00020144331,0.000058648006,0.0001592274,0.00013308457],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023865691,0.00018637358,0.0050407765,0.000034386732,0.0000016063218,0.00008044728,0.00042080483,0.0018044068,0.91669255,0.061447073,0.001057885,0.012995017],"study_design_scores_gemma":[0.0003147167,0.00019975865,0.06653403,0.000013187821,0.0000088322395,0.0000048999636,0.00013074387,0.86557823,0.053448975,0.011892269,0.0015507881,0.0003235753],"about_ca_topic_score_codex":0.000081779624,"about_ca_topic_score_gemma":0.000021161062,"teacher_disagreement_score":0.8637738,"about_ca_system_score_codex":0.000039983446,"about_ca_system_score_gemma":0.000033863354,"threshold_uncertainty_score":0.35008103},"labels":[],"label_agreement":null},{"id":"W3004991677","doi":"10.1016/j.neuron.2020.01.016","title":"Parietal Cortex Regulates Visual Salience and Salience-Driven Behavior","year":2020,"lang":"en","type":"article","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":65,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Western University","funders":"National Eye Institute","keywords":"Salience (neuroscience); Posterior parietal cortex; Visual cortex; Psychology; Neuroscience; Sensory system; Prefrontal cortex; Cognitive psychology; Cognition","score_opus":0.0295340975202091,"score_gpt":0.26304869758944366,"score_spread":0.23351460006923455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004991677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99765146,0.000007704919,0.000053138978,0.0012251035,0.00034980007,0.0002119465,0.000010040824,0.00013466476,0.00035613863],"genre_scores_gemma":[0.9962354,0.000036325422,0.000031151885,0.0034207774,0.00009043865,0.000012404968,0.0000029260348,0.000019413355,0.00015117954],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99867576,0.00006526078,0.00016691569,0.00058450265,0.00026307427,0.00024447282],"domain_scores_gemma":[0.99952227,0.00009196655,0.000073167765,0.00012420712,0.000014896383,0.00017347475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000028878101,0.00014702791,0.00013536478,0.000029164014,0.00016700152,0.00010360372,0.00013736953,0.00004756472,0.0000416945],"category_scores_gemma":[0.00019490666,0.00013306206,0.000040594332,0.0002289903,0.00018254848,0.00024316456,0.0001359394,0.00017632081,0.000051147534],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003210146,0.000038927996,0.0033640964,0.000007854411,4.709279e-7,0.00008441452,0.00009012502,0.00002891406,0.9908434,0.0006660713,0.00016737128,0.0046762214],"study_design_scores_gemma":[0.0011340145,0.0029708731,0.4470536,0.000023779085,0.000068320755,0.00034386053,0.00008022251,0.17398115,0.3642264,0.00028002332,0.009002821,0.00083491043],"about_ca_topic_score_codex":0.000008513267,"about_ca_topic_score_gemma":0.0000029583287,"teacher_disagreement_score":0.626617,"about_ca_system_score_codex":0.00000874472,"about_ca_system_score_gemma":0.000015593952,"threshold_uncertainty_score":0.5426113},"labels":[],"label_agreement":null},{"id":"W3005061336","doi":"10.1101/2020.02.06.937573","title":"The McGill-Mouse-Marmoset Platform: A Standardized Approach for High-throughput Imaging of Neuronal Dynamics During Behavior","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University Health Centre; McGill University; Douglas Mental Health University Institute; Montreal Neurological Institute and Hospital","funders":"","keywords":"Marmoset; Touchscreen; Computer science; Cognition; Neuroscience; Dynamics (music); Data science; Cognitive science; Human–computer interaction; Psychology; Biology","score_opus":0.02360624300892635,"score_gpt":0.23409094558467614,"score_spread":0.21048470257574978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005061336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9741498,0.000058981765,0.010068766,0.00055009365,0.0017741793,0.0025573638,0.010361243,0.00047224978,0.000007325274],"genre_scores_gemma":[0.99461126,0.00015936421,0.003734963,0.00028936449,0.00026261038,0.0006970402,0.000004038468,0.00023065777,0.0000106922935],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99577755,0.00016117393,0.0009045408,0.0015811042,0.00077749515,0.0007981278],"domain_scores_gemma":[0.99698496,0.0003313875,0.00089649006,0.0011893115,0.00035830014,0.00023956755],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00051836227,0.0006996642,0.0007536137,0.00016673951,0.00087137724,0.00025894615,0.0010833252,0.00028021866,0.000006109461],"category_scores_gemma":[0.00079256354,0.00061504357,0.00036014582,0.0004985291,0.00032425325,0.0002671576,0.0009975558,0.0009991077,0.000004882945],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038939458,0.00014948322,0.00037136418,0.00049283117,0.000042069543,0.000025992977,0.000003878605,0.00033140526,0.991982,0.0060774614,0.00012127624,0.000012884414],"study_design_scores_gemma":[0.0021168212,0.00014260752,0.009381212,0.000101456455,0.00024794927,1.9755205e-7,0.000006946433,0.05217049,0.93382365,0.000038908966,0.00092973275,0.001040041],"about_ca_topic_score_codex":0.000038116785,"about_ca_topic_score_gemma":0.000002568715,"teacher_disagreement_score":0.05815832,"about_ca_system_score_codex":0.00045076874,"about_ca_system_score_gemma":0.00030098064,"threshold_uncertainty_score":0.9996301},"labels":[],"label_agreement":null},{"id":"W3005127997","doi":"10.1523/jneurosci.1445-19.2019","title":"Modifying the Adult Rat Tonotopic Map with Sound Exposure Produces Frequency Discrimination Deficits That Are Recovered with Training","year":2020,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Centre for Research on Brain Language and Music; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Centre for Research on Brain, Language and Music","keywords":"Perception; Auditory cortex; Sound exposure; Stimulus (psychology); Tone (literature); Psychology; Audiology; Tonotopy; Neuroscience; Auditory perception; Perceptual learning; Neuroplasticity; Go/no go; Cognitive psychology; Medicine; Acoustics; Computer science; Sound (geography); Physics","score_opus":0.09741481505819612,"score_gpt":0.2564315515560973,"score_spread":0.1590167364979012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005127997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9823622,0.000026632717,0.0033061581,0.013207033,0.000693002,0.00025045042,0.0000058250657,0.000024954623,0.00012373192],"genre_scores_gemma":[0.99510956,0.000035751207,0.00024460084,0.004358647,0.00016202706,0.0000056933695,2.9004823e-7,0.00001734925,0.00006607559],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980286,0.00014636343,0.0002936555,0.00043359402,0.00081506453,0.00028276315],"domain_scores_gemma":[0.99867284,0.00016398032,0.00069211394,0.0001824582,0.00016026154,0.00012831419],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021077957,0.00018334387,0.00020648645,0.00007532985,0.00043515154,0.00033513532,0.0005336145,0.000030052772,0.000003152749],"category_scores_gemma":[0.0008306546,0.00009567621,0.000059097332,0.0005549717,0.00022335412,0.0011222906,0.000042514894,0.00041599583,0.0000015589768],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023143904,0.000055405384,0.0067913537,0.000052971962,0.0000023430011,0.00022302946,0.0022530183,0.0030823692,0.98426545,0.0008520815,0.00005499361,0.0021355662],"study_design_scores_gemma":[0.008908266,0.030054877,0.2404066,0.0022355488,0.00042704976,0.010887756,0.019347858,0.07823224,0.5926757,0.010514233,0.0031053594,0.003204529],"about_ca_topic_score_codex":0.000002568713,"about_ca_topic_score_gemma":0.000015575608,"teacher_disagreement_score":0.39158976,"about_ca_system_score_codex":0.000034579294,"about_ca_system_score_gemma":0.000106832216,"threshold_uncertainty_score":0.39015624},"labels":[],"label_agreement":null},{"id":"W3005714072","doi":"10.1093/cercor/bhaa261","title":"Modeling Reveals Human–Rodent Differences in H-Current Kinetics Influencing Resonance in Cortical Layer 5 Neurons","year":2020,"lang":"en","type":"preprint","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"Krembil Foundation; Natural Sciences and Engineering Research Council of Canada; University Health Network","keywords":"Neuroscience; Human brain; Electrophysiology; Neuron; Kinetics; Biology; Biological system; Physics","score_opus":0.10311195924225579,"score_gpt":0.3115673594566025,"score_spread":0.20845540021434672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005714072","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963395,0.00022951626,0.000426512,0.0005831541,0.0013380795,0.00068380905,0.000050277176,0.00010294983,0.0002461973],"genre_scores_gemma":[0.9985184,0.00020564093,0.00005216613,0.00082058326,0.00019672498,0.00007107857,0.00002232321,0.00005078584,0.00006230731],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9958972,0.00036170884,0.0010270319,0.0014944781,0.0005911813,0.0006284487],"domain_scores_gemma":[0.99883497,0.00017644437,0.00022366385,0.00052933383,0.00004705751,0.00018856023],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00017990891,0.00048163751,0.0006863644,0.00025220294,0.000112161826,0.00022136161,0.0007064511,0.00024918257,0.0000404538],"category_scores_gemma":[0.00070251344,0.00047036647,0.00015221548,0.00043742175,0.00010829095,0.0001350007,0.0011570962,0.002467253,0.00002558635],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002214153,0.0007115449,0.1549008,0.0007943477,0.000008364956,0.0004582332,0.0010843182,0.03790451,0.7834443,0.012093542,0.0001566401,0.008222016],"study_design_scores_gemma":[0.0004980314,0.00015778563,0.36942753,0.00066455815,0.000018014543,0.00000781434,0.00002707787,0.61617446,0.00097038766,0.011381327,0.000054018616,0.00061899784],"about_ca_topic_score_codex":0.00019981539,"about_ca_topic_score_gemma":0.00038142502,"teacher_disagreement_score":0.78247386,"about_ca_system_score_codex":0.00022942039,"about_ca_system_score_gemma":0.00009433844,"threshold_uncertainty_score":0.9998341},"labels":[],"label_agreement":null},{"id":"W3006456353","doi":"10.1161/str.51.suppl_1.tmp34","title":"Abstract TMP34: Longitudinal Calcium Imaging Reveals Circuit Switching and Abnormal Response Fidelity in Somatosensory Vip Interneuron Circuits in the Stroke Damaged Brain","year":2020,"lang":"en","type":"article","venue":"Stroke","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Neuroscience; Stroke (engine); Forelimb; Somatosensory system; Medicine; Inhibitory postsynaptic potential; Interneuron; Sensory system; Vasoactive intestinal peptide; Stroke recovery; Calcium imaging; Dendritic spine; Neuroplasticity; Biology; Internal medicine; Calcium; Rehabilitation; Neuropeptide; Receptor","score_opus":0.05747564362442581,"score_gpt":0.28599078981329606,"score_spread":0.22851514618887026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006456353","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99076974,0.000032410444,0.00025996857,0.0075658034,0.00021638328,0.0003835042,0.000076805554,0.00006689543,0.00062847487],"genre_scores_gemma":[0.993421,0.0000074094946,0.0000071984946,0.00632009,0.00009727431,0.000013950375,0.000002862703,0.000026521133,0.00010365788],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99695104,0.00080852775,0.00053895504,0.00074620114,0.00042931907,0.0005259278],"domain_scores_gemma":[0.99788284,0.0014781567,0.00017057284,0.0003163032,0.000022014492,0.000130113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012498493,0.00026308253,0.00028146987,0.00019214924,0.00018322561,0.00023186688,0.00041782824,0.0000603676,0.00002082777],"category_scores_gemma":[0.0022870982,0.00022717494,0.000085974905,0.0003159408,0.00010661669,0.0004991476,0.00015642616,0.0009471192,0.000016024202],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025923774,0.000044618173,0.07661402,0.00004068208,0.0000020156037,0.00090459804,0.0010291149,0.00005543923,0.91811085,0.00012624629,0.000095834024,0.002717322],"study_design_scores_gemma":[0.0009870324,0.000117173,0.97673965,0.00006352312,0.0000066879184,0.0001713174,0.00049323286,0.005771953,0.014932077,0.000305578,0.0001364437,0.00027532442],"about_ca_topic_score_codex":0.00013166995,"about_ca_topic_score_gemma":0.00006347691,"teacher_disagreement_score":0.9031788,"about_ca_system_score_codex":0.00007182567,"about_ca_system_score_gemma":0.00004742817,"threshold_uncertainty_score":0.9263925},"labels":[],"label_agreement":null},{"id":"W3007400989","doi":"10.3389/fnins.2020.00079","title":"Neural Synchrony Gives Rise to Amplitude- and Duration-Invariant Encoding Consistent With Perception of Natural Communication Stimuli","year":2020,"lang":"en","type":"article","venue":"Frontiers in Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Deutsche Forschungsgemeinschaft","keywords":"Neural coding; Stimulus (psychology); Neuroscience; Electric fish; Sensory system; Perception; Population; Psychology; Invariant (physics); Communication; Biology; Physics; Cognitive psychology; Fish <Actinopterygii>; Medicine","score_opus":0.028766622757530766,"score_gpt":0.25202523440283287,"score_spread":0.22325861164530209,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007400989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9736753,0.00007081465,0.020498203,0.0045719584,0.0005148118,0.0004801176,0.000012782293,0.00004712955,0.00012887834],"genre_scores_gemma":[0.99355215,0.000103440514,0.0040911105,0.002175855,0.000016537622,0.000015043056,0.0000014233368,0.000010686907,0.00003373604],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99840236,0.0001823524,0.0002970215,0.0005729901,0.00031607255,0.00022922378],"domain_scores_gemma":[0.99932814,0.000114569055,0.00014551597,0.00023556592,0.000040885378,0.00013533633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015876342,0.00014980775,0.00019673162,0.0001347349,0.00020909263,0.00010832505,0.00033763784,0.00003054705,0.0000026685386],"category_scores_gemma":[0.0007763297,0.00012765852,0.000027808072,0.0007052596,0.00041735248,0.00048673214,0.00015147655,0.00021239862,0.0000011178953],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017699826,0.00004557774,0.0133720655,0.00003929037,7.983479e-7,0.000014748035,0.001131709,0.0033172185,0.97806585,0.0004315011,0.00027525518,0.0031289975],"study_design_scores_gemma":[0.0008123048,0.0008224359,0.13535033,0.0000926664,0.000014801897,0.000056896497,0.00078460213,0.8490785,0.011899655,0.00014496884,0.00056853757,0.0003743426],"about_ca_topic_score_codex":0.000017041308,"about_ca_topic_score_gemma":0.0000058667474,"teacher_disagreement_score":0.9661662,"about_ca_system_score_codex":0.000045053395,"about_ca_system_score_gemma":0.000038974988,"threshold_uncertainty_score":0.52057636},"labels":[],"label_agreement":null},{"id":"W3007864607","doi":"10.21037/aes.2019.ab003","title":"AB003. Pulvinar mediates the transmission of gamma and alpha oscillatory bandsbetween areas 17 and 21a","year":2019,"lang":"en","type":"article","venue":"Annals of Eye Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Association for Canadian Studies; Université de Montréal","funders":"","keywords":"Neuroscience; Visual cortex; Alpha (finance); Thalamus; Physics; CATS; Cortex (anatomy); Neural activity; Coupling (piping); Psychology; Computer science; Materials science; Developmental psychology","score_opus":0.03780805210292928,"score_gpt":0.29397419737533864,"score_spread":0.2561661452724094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007864607","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960235,0.0002560745,0.000014085938,0.0017408368,0.00014791168,0.0001622291,0.000008122235,0.000009432294,0.0016378384],"genre_scores_gemma":[0.9985972,0.00056579965,0.000026282994,0.0004687456,0.000014302987,0.0000013407008,3.0728577e-7,0.000004626601,0.00032139823],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987766,0.00003938069,0.00018937666,0.00035116356,0.0004272707,0.00021620198],"domain_scores_gemma":[0.9992086,0.000252016,0.0001305145,0.0002192678,0.00009158061,0.00009798554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007446828,0.000094398594,0.00015306633,0.00009920896,0.00016056062,0.0000376446,0.0002980831,0.000032577304,0.00001808748],"category_scores_gemma":[0.00024405446,0.00005853298,0.00003230048,0.00044433336,0.0009769021,0.00035477066,0.00008870959,0.00007976323,0.0000024398112],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030105122,0.000023444225,0.016293494,0.00003790506,0.0000015783368,0.0000010398269,0.00043611263,0.000014475617,0.9692421,0.0015459583,0.0002654246,0.012108372],"study_design_scores_gemma":[0.00031473208,0.00055546704,0.36034518,0.000100749894,0.000008865953,0.00000994533,0.00012238862,0.006136519,0.62507415,0.0040895245,0.003056909,0.00018560031],"about_ca_topic_score_codex":0.000017343958,"about_ca_topic_score_gemma":0.0000016558564,"teacher_disagreement_score":0.34416798,"about_ca_system_score_codex":0.0000029151283,"about_ca_system_score_gemma":0.00004990333,"threshold_uncertainty_score":0.35994366},"labels":[],"label_agreement":null},{"id":"W3007891106","doi":"10.1101/2020.02.21.958488","title":"Models of primate ventral stream that categorize and visualize images","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; Canadian Institute for Advanced Research","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Department of Defense; National Defense Science and Engineering Graduate; Alfred P. Sloan Foundation; Canada Research Chairs; Canadian Institute for Advanced Research","keywords":"Categorization; Macaque; Artificial intelligence; Primate; Computer science; Object (grammar); Pattern recognition (psychology); Autoencoder; Machine learning; Computational model; Artificial neural network; Psychology; Neuroscience","score_opus":0.036028432245439515,"score_gpt":0.2497751858087705,"score_spread":0.213746753563331,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007891106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943373,0.00028573145,0.0023411282,0.00046774853,0.001006772,0.000658609,0.00056221767,0.0003128729,0.000027608496],"genre_scores_gemma":[0.99797297,0.0007512411,0.0006916276,0.0002852044,0.00014403586,0.000052374868,3.2769336e-7,0.00009709996,0.0000051011257],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974034,0.00014603029,0.00042994713,0.0011383775,0.00043653214,0.00044570243],"domain_scores_gemma":[0.9983739,0.00010972403,0.00048526976,0.00065594615,0.00012288,0.00025222643],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020268519,0.000475261,0.00057854847,0.00014593526,0.00012007858,0.00021142497,0.00043846862,0.00027618112,0.0000149548005],"category_scores_gemma":[0.00017238798,0.00047740317,0.00013881722,0.00029562853,0.000208394,0.00028727812,0.0006556774,0.00055086636,0.000009728204],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004869404,0.00008312939,0.00073107274,0.00047146916,0.000024206363,0.00005305365,0.000009877585,0.00017380697,0.99310833,0.0051912316,0.00010187392,0.0000032268867],"study_design_scores_gemma":[0.00038496446,0.00009252546,0.008632722,0.00014949823,0.00007454339,4.6253028e-8,0.0000017077292,0.013738599,0.97608083,0.00015378311,0.00017979999,0.00051096495],"about_ca_topic_score_codex":0.00004760689,"about_ca_topic_score_gemma":4.162197e-7,"teacher_disagreement_score":0.017027512,"about_ca_system_score_codex":0.00008497093,"about_ca_system_score_gemma":0.00020392713,"threshold_uncertainty_score":0.9997678},"labels":[],"label_agreement":null},{"id":"W3007951719","doi":"10.1038/s41597-020-0415-9","title":"A NWB-based dataset and processing pipeline of human single-neuron activity during a declarative memory task","year":2020,"lang":"en","type":"article","venue":"Scientific Data","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Toronto Western Hospital","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; McKnight Foundation; Kavli Foundation; National Alliance for Research on Schizophrenia and Depression; Howard Hughes Medical Institute; National Science Foundation","keywords":"Task (project management); Pipeline (software); Computer science; Programming language","score_opus":0.1313626909694292,"score_gpt":0.30981835983481254,"score_spread":0.17845566886538333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007951719","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98299676,0.000015254083,0.00074794417,0.0009719592,0.00021018708,0.00023656398,0.014702184,0.000050249717,0.00006889601],"genre_scores_gemma":[0.99708766,9.1668176e-7,0.000105169376,0.0002840413,0.00003942374,0.0000025035874,0.0023793748,0.000012089444,0.00008884029],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99803764,0.000112096364,0.00020072439,0.001078025,0.00036273678,0.00020880668],"domain_scores_gemma":[0.9987989,0.0000719936,0.00018607105,0.00079084706,0.00003540743,0.00011678982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003171507,0.00013185239,0.00016060415,0.000087565444,0.0004505548,0.0002966523,0.0006482256,0.0000287931,0.000020596202],"category_scores_gemma":[0.0006123455,0.000119016986,0.000017082788,0.0005629269,0.0003673388,0.0008340693,0.00069812563,0.00015212563,0.000007664759],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005367466,0.00009567184,0.000021620017,0.00011861166,8.4411465e-7,0.0000135369155,0.00009727281,0.000031566036,0.99280643,0.0000064965925,0.0038139431,0.0029403053],"study_design_scores_gemma":[0.0005218739,0.00010910431,0.00041086433,0.000042516236,0.000018601266,0.000006717375,0.000037323993,0.15832068,0.83766,0.000035195764,0.0026712676,0.00016587035],"about_ca_topic_score_codex":0.000011333371,"about_ca_topic_score_gemma":0.00003500223,"teacher_disagreement_score":0.1582891,"about_ca_system_score_codex":0.000013270454,"about_ca_system_score_gemma":0.000060240225,"threshold_uncertainty_score":0.48533717},"labels":[],"label_agreement":null},{"id":"W3008027368","doi":"10.1162/jocn_a_01547","title":"Dissociation between Temporal and Spatial Anticipation in the Neural Dynamics of Goal-directed Movement Preparation","year":2020,"lang":"en","type":"article","venue":"Journal of Cognitive Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Centre National de la Recherche Scientifique; Université de Sherbrooke","keywords":"Anticipation (artificial intelligence); Psychology; Cognitive psychology; Stimulus (psychology); Neuroscience; Computer science; Artificial intelligence","score_opus":0.04101784309681061,"score_gpt":0.30602880261326054,"score_spread":0.26501095951644993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008027368","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99178255,0.0000045216257,0.0051292866,0.002528095,0.00019540639,0.00026198,0.000030635947,0.000008372887,0.000059127437],"genre_scores_gemma":[0.99832034,0.000021377251,0.000014516606,0.0015452857,0.00008233506,0.0000023445598,0.000004022586,0.000005284573,0.0000044965923],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99831176,0.00033733086,0.00046020534,0.00020413223,0.00055155705,0.00013498706],"domain_scores_gemma":[0.99856627,0.00052907557,0.00065731065,0.000045886885,0.00014458502,0.000056887046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039269615,0.00009654999,0.00017642407,0.00009743599,0.000096074466,0.00006952842,0.00017170105,0.000030930107,0.000001791567],"category_scores_gemma":[0.0029766234,0.00006991743,0.000047179426,0.0005628131,0.00013919073,0.00047770585,0.000037959286,0.00021444942,3.0770718e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006004183,0.00026116127,0.30198506,0.00003931807,0.0000038067585,0.000045284884,0.0034693002,0.0007180277,0.6693532,0.00043053698,0.00003082678,0.02306306],"study_design_scores_gemma":[0.0005945179,0.0013345189,0.71751654,0.000036138783,0.00002331297,0.000011362696,0.00017555433,0.2610257,0.018820113,0.00037350276,0.0000068000113,0.00008191673],"about_ca_topic_score_codex":0.000024454668,"about_ca_topic_score_gemma":0.00003506239,"teacher_disagreement_score":0.6505331,"about_ca_system_score_codex":0.000027475713,"about_ca_system_score_gemma":0.00004016521,"threshold_uncertainty_score":0.3563511},"labels":[],"label_agreement":null},{"id":"W3008217968","doi":"10.1093/cercor/bhaa017","title":"Human Anterior Insula Encodes Performance Feedback and Relays Prediction Error to the Medial Prefrontal Cortex","year":2020,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"Fondo Nacional de Desarrollo Científico y Tecnológico; Comisión Nacional de Investigación Científica y Tecnológica; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Prefrontal cortex; Neuroscience; Psychology; Insula; Valence (chemistry); Anterior cingulate cortex; Context (archaeology); Insular cortex; Computer science; Cognition; Physics; Biology","score_opus":0.029294376833071487,"score_gpt":0.24327874765617624,"score_spread":0.21398437082310476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008217968","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99512553,0.000018598623,0.00006684791,0.0021653294,0.0007626806,0.00060766836,0.000073085714,0.00012988594,0.0010503569],"genre_scores_gemma":[0.9955629,0.000026411315,0.000030541596,0.0033874519,0.00043919016,0.000037053524,0.00001127284,0.000024937775,0.0004802196],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99853015,0.00006917766,0.00027492008,0.0005480873,0.0002924706,0.00028517644],"domain_scores_gemma":[0.9994263,0.00003564985,0.00009797426,0.00020729522,0.000027332964,0.00020545222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000090985704,0.00019153448,0.00017673532,0.0000419426,0.00045348302,0.0001126361,0.0002691107,0.00007088545,0.00009447367],"category_scores_gemma":[0.00012754176,0.00013815002,0.000053713964,0.00024929064,0.00013785898,0.0003241078,0.00019521054,0.0002750808,0.000100160316],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015658692,0.000029629982,0.0096583,0.00003345738,0.0000043835516,0.000009411134,0.00084641244,0.000041090218,0.98312044,0.00024401788,0.0012632147,0.00459305],"study_design_scores_gemma":[0.0007928109,0.0015609036,0.93188816,0.00004677378,0.000026552194,0.000069570924,0.00014053202,0.048575364,0.012568947,0.0000659319,0.0039762906,0.00028819122],"about_ca_topic_score_codex":0.00001478177,"about_ca_topic_score_gemma":0.00004613191,"teacher_disagreement_score":0.9705515,"about_ca_system_score_codex":0.000035623765,"about_ca_system_score_gemma":0.000023454097,"threshold_uncertainty_score":0.56335944},"labels":[],"label_agreement":null},{"id":"W3008388879","doi":"10.36505/exling-2017/08/0007/000309","title":"The entrainment of EEG delta oscillations in speech listening","year":2017,"lang":"en","type":"article","venue":"ExLing Conferences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université de Montréal","funders":"","keywords":"Entrainment (biomusicology); Speech recognition; Computer science; Perception; Utterance; Electroencephalography; Sentence processing; Rhythm; Sentence; Artificial intelligence; Psychology; Acoustics; Physics","score_opus":0.05883564271855409,"score_gpt":0.30554491252164,"score_spread":0.2467092698030859,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008388879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98352045,0.000017197153,0.00016202655,0.0013315283,0.000550861,0.00010673759,0.0000055750197,0.000012208332,0.014293443],"genre_scores_gemma":[0.9994568,0.00008456284,0.00007301709,0.000050703733,0.000028477221,0.0000040763734,7.4457415e-7,0.0000031195616,0.000298462],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993072,0.000043685555,0.00017095929,0.00016322068,0.00017418328,0.00014072919],"domain_scores_gemma":[0.9992258,0.0003195484,0.0001657512,0.00024111089,0.00002589589,0.000021926167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025047723,0.000059443675,0.00007951257,0.00003050413,0.00055440486,0.00019993496,0.00033197453,0.000023335053,0.000016841906],"category_scores_gemma":[0.0008560502,0.000039831273,0.000028749395,0.00004552027,0.00016755579,0.000107480475,0.000069835914,0.000088982524,0.0000037301231],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053727297,0.000081890554,0.096032046,0.000024884012,0.000008717962,0.000024747222,0.0011680234,0.00034489104,0.538203,0.19000623,0.000081978316,0.1739699],"study_design_scores_gemma":[0.0012866177,0.00033841876,0.40377802,0.00035710353,0.000023321983,0.000024805853,0.0012964683,0.27402988,0.24658033,0.05247663,0.019185023,0.00062339706],"about_ca_topic_score_codex":0.00018793502,"about_ca_topic_score_gemma":0.00047326015,"teacher_disagreement_score":0.30774596,"about_ca_system_score_codex":0.000011130602,"about_ca_system_score_gemma":0.000046613277,"threshold_uncertainty_score":0.42640898},"labels":[],"label_agreement":null},{"id":"W3009005072","doi":"10.1038/s41598-020-60205-0","title":"Emergence of global synchronization in directed excitatory networks of type I neurons","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Abdus Salam International Centre for Theoretical Physics","keywords":"Excitatory postsynaptic potential; Feed forward; Computer science; Topology (electrical circuits); Synchronization (alternating current); Neuroscience; Neuron; Inhibitory postsynaptic potential; Biological neural network; Stimulus (psychology); Synchronization networks; Mathematics; Biology; Combinatorics","score_opus":0.023063186302641214,"score_gpt":0.24920896907045512,"score_spread":0.2261457827678139,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009005072","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928223,0.000045001707,0.0010899514,0.00011653829,0.0049435,0.00016631836,0.0000032245334,0.000044988432,0.0007681598],"genre_scores_gemma":[0.99979645,0.000008749797,0.000039803046,0.00006337988,0.00002019637,0.0000015727863,0.0000065152317,0.0000054214147,0.000057912],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986233,0.00006654494,0.00041688984,0.00045846435,0.0002919029,0.00014290071],"domain_scores_gemma":[0.99927896,0.0000299204,0.00028373566,0.00024663802,0.00009978101,0.000060938666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021397039,0.0000708739,0.00012885057,0.000038979484,0.000050795777,0.00002066338,0.000104793646,0.000033398057,0.000080614576],"category_scores_gemma":[0.0009489168,0.00006813508,0.00003658274,0.0019936564,0.00016391701,0.00012308302,0.00005909417,0.00006183438,0.0000024006783],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037990147,0.000104166356,0.06122954,0.000058110247,0.000002319812,0.0001753206,0.00014291292,0.030397378,0.8995929,0.00063245214,0.0049631163,0.0026638147],"study_design_scores_gemma":[0.0002242492,0.00024474028,0.0649115,0.00007196811,0.000017361439,0.00006750419,0.00006140569,0.8631427,0.066787615,0.0029172641,0.001260678,0.00029296865],"about_ca_topic_score_codex":0.000014867156,"about_ca_topic_score_gemma":0.000017015387,"teacher_disagreement_score":0.8328053,"about_ca_system_score_codex":0.000012788763,"about_ca_system_score_gemma":0.000080423284,"threshold_uncertainty_score":0.2778468},"labels":[],"label_agreement":null},{"id":"W3009056987","doi":"10.1101/2020.03.03.975060","title":"Noise Invariance in Inferior Colliculus Neurons is Dependant on the Input Noisy Conditions","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inferior colliculus; Noise (video); White noise; Auditory cortex; Speech recognition; Stochastic resonance; Natural sounds; Auditory system; SIGNAL (programming language); Computer science; Mathematics; Psychology; Neuroscience; Artificial intelligence; Telecommunications","score_opus":0.030844861811641363,"score_gpt":0.23605342134314422,"score_spread":0.20520855953150285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009056987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9822723,0.000027667335,0.00021094349,0.012733247,0.0018068847,0.0015118655,0.0010609244,0.00031085784,0.000065279375],"genre_scores_gemma":[0.98383737,0.0001522881,0.000092924405,0.015075937,0.0002597289,0.0004523145,4.554028e-7,0.00011582812,0.000013154298],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9962494,0.00040733334,0.0006200867,0.0015448101,0.0005667861,0.0006116292],"domain_scores_gemma":[0.997303,0.00049128814,0.00043590617,0.0013570961,0.00014299717,0.0002697147],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003317589,0.0006155556,0.0005242243,0.0002630709,0.00038872715,0.00043316645,0.0010071746,0.00034595077,0.00011304513],"category_scores_gemma":[0.0016021086,0.00053213025,0.00018667102,0.0012014409,0.00022275995,0.00019152668,0.00073793984,0.0017339444,0.00035629256],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004543799,0.00016543928,0.0011222049,0.00008289225,0.0000141587525,0.00023404189,0.000018362067,0.00039993942,0.98617166,0.01063784,0.0011070136,9.796697e-7],"study_design_scores_gemma":[0.0008939876,0.00022762734,0.15230411,0.0005113673,0.00007266587,1.6679394e-7,0.0000040865207,0.023020752,0.8115285,0.00008626396,0.010025208,0.0013252649],"about_ca_topic_score_codex":0.00007482397,"about_ca_topic_score_gemma":0.000017241511,"teacher_disagreement_score":0.17464319,"about_ca_system_score_codex":0.00026972787,"about_ca_system_score_gemma":0.000546806,"threshold_uncertainty_score":0.999713},"labels":[],"label_agreement":null},{"id":"W3009172505","doi":"10.1101/2020.03.01.971705","title":"Resting state fluctuations underlie free and creative verbal behaviors in the human brain","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Advanced Research","keywords":"Psychology; Verbal fluency test; Cognitive psychology; Task (project management); Resting state fMRI; Brain activity and meditation; Control (management); Dynamics (music); Cognition; Electroencephalography; Neuroscience; Neuropsychology; Computer science","score_opus":0.03801989118546075,"score_gpt":0.26333626448607295,"score_spread":0.2253163733006122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009172505","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949175,0.000040963398,0.00037641777,0.00297317,0.00037175018,0.0008046152,0.0002866086,0.00018421926,0.000044752745],"genre_scores_gemma":[0.99796,0.00003792072,0.00029270194,0.0013618805,0.00013727923,0.00013598033,5.016951e-7,0.00006435789,0.000009376994],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.997259,0.00043370554,0.00043715365,0.0010435695,0.00043140803,0.00039516974],"domain_scores_gemma":[0.99820894,0.00042495245,0.00030471804,0.0008360957,0.0000884104,0.00013688984],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00052858365,0.0003889007,0.0003219409,0.0001893815,0.00041947287,0.0004098217,0.00071224803,0.0001873891,0.000015190541],"category_scores_gemma":[0.001606701,0.00034851808,0.00007387193,0.0006325894,0.00022919162,0.00018603863,0.00062878954,0.0010638566,0.000010173768],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011395032,0.00006666382,0.0015903314,0.000063803775,0.000007550014,0.000107448184,0.000119662815,0.000104195715,0.9935113,0.0041204575,0.0002941853,0.0000029671999],"study_design_scores_gemma":[0.0014935164,0.00029626774,0.83708435,0.00046186513,0.00012928364,1.7240681e-7,0.000056445013,0.0058890833,0.1510829,0.0009802623,0.0010743254,0.0014515171],"about_ca_topic_score_codex":0.00019013761,"about_ca_topic_score_gemma":0.00004028745,"teacher_disagreement_score":0.84242845,"about_ca_system_score_codex":0.00015327545,"about_ca_system_score_gemma":0.00018862322,"threshold_uncertainty_score":0.9998967},"labels":[],"label_agreement":null},{"id":"W3009319299","doi":"10.1101/2020.03.05.979062","title":"Quaternionic Assessment of EEG Traces on Nervous Multidimensional Hyperspheres","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Hypersphere; Electroencephalography; Quaternion; Computer science; Matching (statistics); Orthographic projection; Phase space; Space (punctuation); Artificial intelligence; Pattern recognition (psychology); Mathematics; Physics; Geometry; Psychology; Neuroscience","score_opus":0.031117380183343132,"score_gpt":0.25900775948785265,"score_spread":0.2278903793045095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009319299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956145,0.000074692514,0.000406134,0.00089992344,0.0018637425,0.0005799564,0.00026181832,0.00026683268,0.00003235994],"genre_scores_gemma":[0.9967073,0.00012734512,0.0020650167,0.00072135305,0.00019874786,0.00007247935,3.396388e-7,0.00009779865,0.000009590418],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9967213,0.0002678245,0.0005621083,0.0012887206,0.00075504393,0.0004049476],"domain_scores_gemma":[0.9979566,0.00026436447,0.00056603155,0.0008130465,0.00017642313,0.0002235755],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026511337,0.0005089741,0.00057375984,0.00015806263,0.00015760947,0.00011152665,0.00052011857,0.00031214,0.00007397561],"category_scores_gemma":[0.00038399154,0.0004806359,0.00022837523,0.0003584424,0.00014668942,0.0001168324,0.00042485367,0.00088448153,0.000057606594],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053114523,0.00023819969,0.00093094946,0.00020194324,0.000030175765,0.000067973335,0.0000039893375,0.001995338,0.9912942,0.005033737,0.00014476132,0.0000056220815],"study_design_scores_gemma":[0.0006958305,0.00039062265,0.1408394,0.00038016794,0.000075530435,3.9314003e-8,0.000002925921,0.037068333,0.81823075,0.000013914526,0.0014966101,0.00080585474],"about_ca_topic_score_codex":0.000049882987,"about_ca_topic_score_gemma":0.0000017112053,"teacher_disagreement_score":0.17306343,"about_ca_system_score_codex":0.00018486944,"about_ca_system_score_gemma":0.0004132472,"threshold_uncertainty_score":0.9997645},"labels":[],"label_agreement":null},{"id":"W3009351273","doi":"10.1101/2020.03.03.968404","title":"A Novel Approach to Investigate Subcortical and Cortical Sensitivity to Temporal Structure Simultaneously","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada First Research Excellence Fund","keywords":"Auditory cortex; Neuroscience; Neural adaptation; Stimulus (psychology); Audiology; Auditory system; Brainstem; Psychology; Phase locking; Adaptation (eye); Medicine; Physics; Phase (matter); Cognitive psychology","score_opus":0.030057273616699794,"score_gpt":0.22816170080689857,"score_spread":0.19810442719019877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009351273","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9744045,0.000009219347,0.020676173,0.0018375476,0.00074201386,0.0012426684,0.0006871519,0.00039405836,0.000006623931],"genre_scores_gemma":[0.9801207,0.0000054873694,0.013595341,0.005733961,0.00036993317,0.00005168176,5.3004953e-7,0.00011928194,0.000003044699],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9958989,0.00024974186,0.0005010739,0.0020891463,0.00058823836,0.00067291677],"domain_scores_gemma":[0.99725145,0.0002841797,0.00016886843,0.00079439936,0.00018703603,0.0013140461],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028726377,0.00064848067,0.0006714385,0.00019348132,0.00023664195,0.0004208634,0.00035269783,0.00044544073,0.000005232723],"category_scores_gemma":[0.0035598585,0.0006433336,0.000101472106,0.0007698912,0.0002202304,0.00011288763,0.0011774389,0.0013450979,0.00003515489],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010561454,0.000105401516,0.0010021288,0.00016763133,0.00001614327,0.00018965057,0.000016709186,0.0010948984,0.99461365,0.0025855217,0.00010065768,0.0000019915815],"study_design_scores_gemma":[0.00083310786,0.00043690397,0.09029763,0.00023699303,0.00016545277,0.0000020142588,0.000004573323,0.19419178,0.70993257,0.000030950152,0.0015027673,0.00236526],"about_ca_topic_score_codex":0.00006592674,"about_ca_topic_score_gemma":0.0000075917137,"teacher_disagreement_score":0.2846811,"about_ca_system_score_codex":0.00015375423,"about_ca_system_score_gemma":0.00031908305,"threshold_uncertainty_score":0.9996018},"labels":[],"label_agreement":null},{"id":"W3009518045","doi":"10.1109/icsai48974.2019.9010516","title":"An Efficient Adaptive Online Neural Spikes Detection and Classification Engine Based on Bayesian Inference","year":2019,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Spike (software development); Computer science; Pattern recognition (psychology); Bayesian probability; Artificial intelligence; Inference; Template matching; Bayesian inference; Machine learning; Image (mathematics)","score_opus":0.027936395934484565,"score_gpt":0.261794068129478,"score_spread":0.2338576721949934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009518045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95258784,9.807914e-7,0.04575971,0.00028964292,0.00030090078,0.00028239674,0.000011176719,0.00011627388,0.0006510978],"genre_scores_gemma":[0.9988108,0.0000020621037,0.00022863677,0.00076171686,0.000037192858,0.0000069557723,0.000008519053,0.000011826964,0.00013223618],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990017,0.00008067021,0.00013142278,0.00043693386,0.00019481048,0.0001544817],"domain_scores_gemma":[0.99942106,0.00018127264,0.000060728464,0.00022877107,0.000031735828,0.000076424476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007857255,0.00012609662,0.00009222707,0.00012267496,0.000087555774,0.000058495923,0.00008269993,0.000050360635,0.000050497423],"category_scores_gemma":[0.00009341415,0.00010077212,0.000024424544,0.00021293553,0.000037009147,0.00013419666,0.000013476265,0.00014263259,0.00002658829],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012839813,0.00017941622,0.00066684856,0.0000064533037,4.118503e-7,0.0000013014874,0.000017001641,0.04494479,0.9230774,0.0019676334,0.0000015381696,0.029008813],"study_design_scores_gemma":[0.00027712111,0.0009127084,0.04135571,0.0000073901783,0.0000030695583,0.0000025174284,0.000026998317,0.916385,0.04083028,0.000054032153,0.000028932001,0.000116230236],"about_ca_topic_score_codex":0.000016144884,"about_ca_topic_score_gemma":0.00003381329,"teacher_disagreement_score":0.8822471,"about_ca_system_score_codex":0.000034525638,"about_ca_system_score_gemma":0.00001249302,"threshold_uncertainty_score":0.4109368},"labels":[],"label_agreement":null},{"id":"W3010150916","doi":"10.1101/2020.03.04.977322","title":"Multimodal mapping of neural activity and cerebral blood flow reveals long-lasting neurovascular dissociations after small-scale strokes","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; University of Texas at Austin; Canadian Institutes of Health Research; Welch Foundation","keywords":"Neurovascular bundle; Neuroimaging; Hemodynamics; Neuroscience; Cerebral blood flow; Diaschisis; Neural activity; Ischemia; Psychology; Medicine; Cardiology; Anatomy","score_opus":0.019687241454946637,"score_gpt":0.21030966890060665,"score_spread":0.19062242744566002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010150916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99454254,0.00008669827,0.0024303042,0.0004968028,0.0008912358,0.0007462985,0.0005422376,0.000260849,0.0000030571935],"genre_scores_gemma":[0.99696445,0.0000538557,0.0021906362,0.00023020952,0.00033549755,0.00011193904,4.2623375e-7,0.000108838445,0.0000041226544],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.996587,0.00037615787,0.00056742574,0.0014411848,0.00046574546,0.0005624788],"domain_scores_gemma":[0.9979415,0.00023638827,0.0006188633,0.00072863227,0.00018983465,0.0002847822],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030413308,0.0005679854,0.0007069151,0.00021480036,0.0002574128,0.0002696043,0.00041089338,0.00033831483,0.000011683379],"category_scores_gemma":[0.0009815518,0.00061246427,0.00029001478,0.00052486995,0.00015309498,0.0002744788,0.00084843097,0.0010073634,0.00000500564],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004044125,0.00014036105,0.080505304,0.0004717799,0.000050567556,0.00006621646,0.000020599986,0.00033787824,0.9183245,0.000026789665,0.0000032564337,0.000012314322],"study_design_scores_gemma":[0.00052967505,0.00007087307,0.7224789,0.00021584184,0.00017266894,1.15990886e-7,0.0000022089,0.05529807,0.22066705,0.0000042151737,0.000009782199,0.00055059436],"about_ca_topic_score_codex":0.0000487124,"about_ca_topic_score_gemma":0.000007560529,"teacher_disagreement_score":0.69765747,"about_ca_system_score_codex":0.00007637949,"about_ca_system_score_gemma":0.00012333604,"threshold_uncertainty_score":0.99963266},"labels":[],"label_agreement":null},{"id":"W3010266394","doi":"10.1523/jneurosci.2740-19.2020","title":"Reconciling Current Theories of Consciousness","year":2020,"lang":"en","type":"letter","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research; University of Ottawa; Natural Sciences and Engineering Research Council of Canada; Heart and Stroke Foundation of Canada","keywords":"Consciousness; Cognitive science; Psychology; Neural correlates of consciousness; Artificial consciousness; Neuroscience; Neurophilosophy; Epistemology; Cognition; Philosophy; Mental representation","score_opus":0.057222933067656516,"score_gpt":0.2878653631014964,"score_spread":0.23064243003383988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010266394","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.090891235,0.0004707792,0.002846895,0.86320275,0.040815987,0.00053606427,0.00019677465,0.00007716929,0.00096232496],"genre_scores_gemma":[0.32713288,0.00095246715,0.00007115365,0.66839445,0.003065385,0.0000024843368,0.0000014415587,0.000053434127,0.00032629666],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968449,0.00029976544,0.00089752115,0.0004691018,0.0011560272,0.00033271746],"domain_scores_gemma":[0.9968434,0.00073121785,0.0018211199,0.00026393033,0.00023352921,0.000106783125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003149817,0.00026704892,0.0005787695,0.00027052168,0.00015204227,0.00012197841,0.0011270702,0.00012497848,0.000012936647],"category_scores_gemma":[0.0035549258,0.00020466554,0.00030038858,0.0006572279,0.0006719818,0.00039270037,0.0001542407,0.002189247,0.0000057533002],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060556766,0.00005126075,0.00006858122,0.00024732237,0.0000023959162,0.0013679061,0.00011888861,0.00008812194,0.83474886,0.00055080204,0.15810172,0.00459357],"study_design_scores_gemma":[0.00044872193,0.0011198414,0.00015072555,0.00042750212,0.00006718731,0.0016186365,0.000018162775,0.0020164999,0.07000444,0.009501648,0.9141275,0.00049909693],"about_ca_topic_score_codex":0.0000010029132,"about_ca_topic_score_gemma":2.1968953e-7,"teacher_disagreement_score":0.76474446,"about_ca_system_score_codex":0.00004445301,"about_ca_system_score_gemma":0.00033854015,"threshold_uncertainty_score":0.95113105},"labels":[],"label_agreement":null},{"id":"W3010500513","doi":"10.3390/bioengineering7010023","title":"Neural Modulation of the Primary Auditory Cortex by Intracortical Microstimulation with a Bio-Inspired Electronic System","year":2020,"lang":"en","type":"article","venue":"Bioengineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Microstimulation; Neuroscience; Auditory cortex; Tonotopy; Neurophysiology; Neuroprosthetics; Stimulation; Biology","score_opus":0.008018827157679485,"score_gpt":0.1814758847462104,"score_spread":0.17345705758853092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010500513","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98621815,0.000020459383,0.012713498,0.00036665882,0.00028530866,0.00023192907,0.000011495315,0.000120058496,0.000032430224],"genre_scores_gemma":[0.99964625,0.000002296268,0.00003906229,0.00017115494,0.00010050256,0.0000057124184,0.0000063576135,0.000017861717,0.000010790437],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992197,0.000025334313,0.00017413449,0.00021583284,0.0001870244,0.00017795854],"domain_scores_gemma":[0.99969655,0.00004201481,0.00008012865,0.00011684581,0.00001907525,0.00004540898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003159893,0.000105144885,0.000110289104,0.00002341074,0.000057892637,0.000020014391,0.0001111225,0.000039328457,0.0000017482103],"category_scores_gemma":[0.00004586433,0.0000748403,0.000039323277,0.00027560326,0.000036458412,0.0001068247,0.000030738065,0.00012686696,0.0000022147613],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040004226,0.000009270358,0.00032310546,0.00006432021,0.0000030465835,0.0000011068576,0.000020097055,0.023372622,0.975198,0.00032772368,0.000037128724,0.0006035882],"study_design_scores_gemma":[0.00024189106,0.0001427512,0.034390293,0.000024162793,0.000012047835,0.000010753485,0.000004920887,0.8833675,0.081563346,0.0000021332455,0.00014230039,0.000097929886],"about_ca_topic_score_codex":0.0000035327873,"about_ca_topic_score_gemma":4.8719465e-7,"teacher_disagreement_score":0.8936346,"about_ca_system_score_codex":0.00008595632,"about_ca_system_score_gemma":0.000022738684,"threshold_uncertainty_score":0.3051899},"labels":[],"label_agreement":null},{"id":"W3010766548","doi":"10.7554/elife.52949.sa2","title":"Author response: The functional organization of excitation and inhibition in the dendrites of mouse direction-selective ganglion cells","year":2020,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Neuroscience; Ganglion; Cell biology; Biology; Chemistry; Biophysics","score_opus":0.03815663677691085,"score_gpt":0.27503574218336074,"score_spread":0.2368791054064499,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010766548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6981737,0.0016525418,0.0044369893,0.28431296,0.004034209,0.005017645,0.00077796495,0.00017011064,0.0014238794],"genre_scores_gemma":[0.94555926,0.0020970234,0.000065082466,0.006996038,0.00024009298,0.000099193036,0.00046898026,0.00006731275,0.044406984],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975132,0.00095576025,0.0004764505,0.0003928588,0.0005468509,0.00011487765],"domain_scores_gemma":[0.9973547,0.0016313893,0.0004599051,0.00018633291,0.00034443516,0.000023248145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000779693,0.0001889264,0.00027337827,0.00019394464,0.00013757033,0.000038226553,0.00010871739,0.00013240498,0.00008292119],"category_scores_gemma":[0.0028264492,0.00011602583,0.000066417844,0.0016134884,0.00012626416,0.0001564721,0.00005037097,0.00034345358,0.000006113185],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001767652,0.00008970767,0.000040290448,0.00059850246,0.000008139656,0.00000295664,0.00043049644,0.00008625454,0.7299645,0.0010814709,0.26704124,0.0004797205],"study_design_scores_gemma":[0.0009773625,0.0009211594,0.016241103,0.0014505311,0.00027365194,0.00010657479,0.00062244106,0.0033164201,0.9187312,0.0016750839,0.055049796,0.00063465536],"about_ca_topic_score_codex":0.000050912815,"about_ca_topic_score_gemma":0.00006891029,"teacher_disagreement_score":0.27731693,"about_ca_system_score_codex":0.00005539973,"about_ca_system_score_gemma":0.00009487113,"threshold_uncertainty_score":0.4731396},"labels":[],"label_agreement":null},{"id":"W3010814545","doi":"10.1101/2020.03.13.991216","title":"Automated curation of CNMF-E-extracted ROI spatial footprints and calcium traces using open-source AutoML tools","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research; Vector Institute; Hospital for Sick Children; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Canadian Institutes of Health Research; Hospital for Sick Children; Compute Canada; National Institute of Mental Health; Canadian Institute for Advanced Research","keywords":"Computer science; Classifier (UML); Ground truth; Scalability; Artificial intelligence; Calcium imaging; Spotting; Data curation; Pattern recognition (psychology); Data mining; Machine learning; Calcium; Database; Chemistry","score_opus":0.06577411349475662,"score_gpt":0.28147910886473704,"score_spread":0.21570499536998042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010814545","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9861662,0.000058655198,0.0095927315,0.00034684277,0.0012758983,0.00135516,0.00031044948,0.0008799546,0.000014121437],"genre_scores_gemma":[0.9974406,0.000053947628,0.001850883,0.00023736607,0.00023320969,0.00005645058,9.995874e-7,0.00012180729,0.000004772367],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99635243,0.00034656347,0.0008437727,0.0014587581,0.00052926433,0.00046922726],"domain_scores_gemma":[0.9974427,0.00021924914,0.000996722,0.00077440415,0.00028698737,0.00027990493],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004107649,0.0005790761,0.00074945984,0.00024233942,0.0002732035,0.0008205568,0.0008122835,0.00049006345,0.000022408276],"category_scores_gemma":[0.001201885,0.0006157725,0.00012095039,0.0006517048,0.0001954544,0.00072935584,0.001215557,0.00078802236,0.00001143491],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009096744,0.00012652979,0.0008563276,0.00027562518,0.00003075063,0.000034367462,0.000016503775,0.00073707924,0.9973465,0.00041638772,0.00003757124,0.00003139612],"study_design_scores_gemma":[0.0005586169,0.00009694589,0.070177875,0.0002725051,0.000086732776,1.3862025e-7,0.000002086889,0.2878437,0.6398301,0.0000053635704,0.00053600443,0.00058990374],"about_ca_topic_score_codex":0.00033218882,"about_ca_topic_score_gemma":0.0000064030905,"teacher_disagreement_score":0.35751638,"about_ca_system_score_codex":0.00017843967,"about_ca_system_score_gemma":0.0004575181,"threshold_uncertainty_score":0.9996294},"labels":[],"label_agreement":null},{"id":"W3011242681","doi":"10.1016/j.celrep.2020.02.027","title":"Cellular Classes in the Human Brain Revealed In Vivo by Heartbeat-Related Modulation of the Extracellular Action Potential Waveform","year":2020,"lang":"en","type":"article","venue":"Cell Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; Allen Institute; Cedars-Sinai Medical Center","keywords":"Neuroscience; Biology; Hippocampal formation; Excitatory postsynaptic potential; Human brain; Inhibitory postsynaptic potential; Cell type; Extracellular; Heartbeat; Electrophysiology; Biological neural network; Cell; Computer science; Cell biology; Biochemistry","score_opus":0.0233707175199588,"score_gpt":0.2391571722438417,"score_spread":0.2157864547238829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011242681","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956797,0.000031750074,0.0001375171,0.0022902945,0.00033533215,0.000520148,0.0000031634088,0.00002323851,0.0009788879],"genre_scores_gemma":[0.99823344,0.000008940779,0.000004686913,0.00041971117,0.00003632443,0.000009816118,0.000010957369,0.000015684465,0.001260455],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99819785,0.00025744212,0.00058135577,0.0003894537,0.00038078838,0.00019308244],"domain_scores_gemma":[0.9991737,0.000073036776,0.00037478746,0.00032161598,0.000020265341,0.000036615293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042796347,0.0001315229,0.00015781239,0.00005616812,0.00012618015,0.000035862715,0.00014829371,0.00010384286,0.00005207161],"category_scores_gemma":[0.0001932978,0.000088108594,0.00009729996,0.0005530354,0.000063937936,0.00016691355,0.00004691747,0.00031094268,0.0000021825263],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010854718,0.000083483676,0.0017853501,0.000026546544,8.6669786e-7,0.00014317909,0.00025080153,0.0019412797,0.994708,0.00007122155,0.00082396256,0.00015445695],"study_design_scores_gemma":[0.0003978501,0.00010210648,0.012446457,0.000027609784,0.000011087121,0.000081627455,0.000126972,0.037964854,0.94470215,0.0012748061,0.002698718,0.00016576609],"about_ca_topic_score_codex":0.00009222543,"about_ca_topic_score_gemma":0.000025109486,"teacher_disagreement_score":0.050005853,"about_ca_system_score_codex":0.000045582896,"about_ca_system_score_gemma":0.000025972307,"threshold_uncertainty_score":0.3592964},"labels":[],"label_agreement":null},{"id":"W3011536304","doi":"10.1016/j.neuroimage.2020.116736","title":"Real-world expectations and their affective value modulate object processing","year":2020,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Institut Universitaire de France; Agence Nationale de la Recherche","keywords":"Affect (linguistics); Psychology; Cognitive psychology; Object (grammar); Context (archaeology); Precuneus; Cognitive neuroscience of visual object recognition; Sensory system; Value (mathematics); Functional magnetic resonance imaging; Neuroscience; Computer science; Communication; Artificial intelligence; Machine learning","score_opus":0.033954065277526306,"score_gpt":0.27114218986858846,"score_spread":0.23718812459106214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011536304","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98676884,0.000023306231,0.00095037074,0.0023629342,0.00015566258,0.00030111073,0.000019837747,0.00025444562,0.0091635045],"genre_scores_gemma":[0.9975959,0.00002150066,0.00007667477,0.001953549,0.000093194685,0.000013289589,0.0000020840607,0.000028274697,0.00021553338],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892217,0.00012332195,0.00012529171,0.00051508134,0.00012127993,0.00019284397],"domain_scores_gemma":[0.99949485,0.00018920052,0.00006924365,0.0001208858,0.00002128944,0.00010451141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003614708,0.00014976962,0.0001336772,0.00006543354,0.000245384,0.00013295643,0.000103568585,0.000021681331,0.000009446259],"category_scores_gemma":[0.00026358326,0.00012365165,0.000043589196,0.00045609445,0.00008209226,0.0003031111,0.000074566364,0.0001894525,0.000020368554],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023876753,0.00002158285,0.00011188698,0.000024063147,0.0000012597035,0.000030289193,0.0013406008,0.00012828546,0.9829811,0.0008581098,0.00008868613,0.014390252],"study_design_scores_gemma":[0.00067753874,0.0004117695,0.023606244,0.000028746383,0.00001813529,0.00003489423,0.00039988663,0.63241553,0.3391223,0.0020403257,0.0008062342,0.00043839274],"about_ca_topic_score_codex":0.0000149363195,"about_ca_topic_score_gemma":0.000009011572,"teacher_disagreement_score":0.6438588,"about_ca_system_score_codex":0.00001474225,"about_ca_system_score_gemma":0.000020895312,"threshold_uncertainty_score":0.5042368},"labels":[],"label_agreement":null},{"id":"W3011792982","doi":"10.7554/elife.51972","title":"Spatiotemporal patterns of neocortical activity around hippocampal sharp-wave ripples","year":2020,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":145,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"National Institute on Aging; Alberta Prion Research Institute; Natural Sciences and Engineering Research Council of Canada; Defense Advanced Research Projects Agency; Canadian Institutes of Health Research; Alberta Innovates - Health Solutions; National Science Foundation","keywords":"Neocortex; Neuroscience; Hippocampal formation; Hippocampus; Memory consolidation; Biology; Psychology","score_opus":0.08751730324798951,"score_gpt":0.26866927437264,"score_spread":0.18115197112465048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011792982","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99374866,0.0000035152154,0.0028993813,0.0024834923,0.00024484767,0.00015052143,0.000067489964,0.000059519352,0.00034255796],"genre_scores_gemma":[0.9974878,0.000011755335,0.000057526453,0.0021162648,0.00023824016,0.0000051443135,0.0000055629557,0.000013657183,0.0000640525],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99888486,0.00007484691,0.00018613132,0.00032436525,0.0003449232,0.00018486891],"domain_scores_gemma":[0.99946105,0.00012614181,0.00010331378,0.00014880874,0.000025257017,0.00013541161],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000059693146,0.00011373391,0.00016702426,0.000026540349,0.000059511633,0.000035110934,0.00009192275,0.000051753814,0.00012228845],"category_scores_gemma":[0.00038782068,0.0001009346,0.00007832762,0.00014455702,0.000054605352,0.00016143675,0.0000859382,0.00017286191,0.00004550049],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019993541,0.00014706577,0.027271323,0.000056072895,0.000007963735,0.00007704506,0.00021862946,0.00007545259,0.95923537,0.0028128626,0.0005101651,0.009388117],"study_design_scores_gemma":[0.0006973892,0.0005672085,0.12808141,0.000024116125,0.000018711964,0.000023764185,0.00005195754,0.09924689,0.76776606,0.00042103624,0.0027743983,0.00032707877],"about_ca_topic_score_codex":0.000052756615,"about_ca_topic_score_gemma":0.000014955433,"teacher_disagreement_score":0.19146933,"about_ca_system_score_codex":0.000016665124,"about_ca_system_score_gemma":0.000031578893,"threshold_uncertainty_score":0.41159934},"labels":[],"label_agreement":null},{"id":"W3011959288","doi":"10.3390/e22030339","title":"The Emergence of Integrated Information, Complexity, and ‘Consciousness’ at Criticality","year":2020,"lang":"en","type":"article","venue":"Entropy","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ising model; Statistical physics; Critical point (mathematics); Criticality; Computer science; Monte Carlo method; Variance (accounting); Phase transition; Artificial neural network; Node (physics); Mathematics; Physics; Artificial intelligence; Statistics; Quantum mechanics; Mathematical analysis","score_opus":0.04038442773166938,"score_gpt":0.26032115894319086,"score_spread":0.21993673121152146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011959288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9813922,0.000019277055,0.0021977832,0.014934815,0.0002666241,0.00014640906,0.000060115195,0.000040932795,0.00094186194],"genre_scores_gemma":[0.9981355,0.00004388215,0.000036787307,0.0017297023,0.00001476026,0.0000022725087,0.0000038207772,0.0000020287007,0.00003124998],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994644,0.000056485726,0.00016420265,0.000090212736,0.00012821468,0.00009649074],"domain_scores_gemma":[0.99964017,0.00013133546,0.000048835183,0.00008107628,0.00004348597,0.00005509126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005681594,0.00005032756,0.000064584034,0.000008691229,0.00018339157,0.000032441993,0.00010283107,0.000014674474,0.00010065736],"category_scores_gemma":[0.00082624925,0.000032358206,0.000019774854,0.00013595128,0.000256969,0.00013823592,0.000091044276,0.000063712425,0.000028082615],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013451073,0.000020077585,0.005421658,0.000041892326,0.0000038410467,0.0000018475537,0.00045029892,0.000018848039,0.40286073,0.58111775,0.0074141375,0.0025144175],"study_design_scores_gemma":[0.0014675256,0.00057837,0.044521824,0.000027925853,0.000032771073,0.00003632823,0.0009924227,0.26625162,0.46397194,0.055078335,0.16652586,0.00051507336],"about_ca_topic_score_codex":0.000016707276,"about_ca_topic_score_gemma":0.000007253314,"teacher_disagreement_score":0.5260394,"about_ca_system_score_codex":0.0000068420745,"about_ca_system_score_gemma":0.000008323662,"threshold_uncertainty_score":0.14105181},"labels":[],"label_agreement":null},{"id":"W3011968277","doi":"10.1016/j.neuroimage.2020.116748","title":"The human K-complex: Insights from combined scalp-intracranial EEG recordings","year":2020,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Sherbrooke; Montreal Neurological Institute and Hospital; McGill University","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Montreal Neurological Institute and Hospital","keywords":"Scalp; Electroencephalography; Neuroscience; Computer science; Pattern recognition (psychology); Medicine; Psychology; Artificial intelligence; Anatomy","score_opus":0.04572552646503315,"score_gpt":0.25629198404395614,"score_spread":0.210566457578923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011968277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9819663,0.0000058806218,0.00017152281,0.010028403,0.0008340924,0.0002636594,0.000029240606,0.000221509,0.006479357],"genre_scores_gemma":[0.9887342,0.00001772702,0.00004471463,0.010546621,0.0003051101,0.000008306736,0.000010760983,0.000035447272,0.0002971107],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983331,0.0001810095,0.00027646284,0.00060718955,0.00031664327,0.0002856161],"domain_scores_gemma":[0.9989363,0.00044169737,0.0001144059,0.0003207286,0.000027712775,0.00015917867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000046383626,0.00019265966,0.00017969628,0.000025781737,0.00079288357,0.00031466683,0.0005084014,0.000046836998,0.00012686642],"category_scores_gemma":[0.00048090323,0.00014014468,0.00010790275,0.00028052376,0.00016416873,0.0002166533,0.00016433839,0.00037204966,0.00031239504],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007615886,0.000028439978,0.00009196052,0.0000030512936,0.0000020837895,0.00009852305,0.000070202645,0.000004540748,0.9884371,0.0032404622,0.004615262,0.0033321735],"study_design_scores_gemma":[0.0057042595,0.0026410224,0.20351222,0.000036088757,0.00009185163,0.000062604086,0.00012041907,0.16162252,0.28763318,0.044480667,0.29241738,0.001677775],"about_ca_topic_score_codex":0.00004432182,"about_ca_topic_score_gemma":0.000016182466,"teacher_disagreement_score":0.70080394,"about_ca_system_score_codex":0.000015865206,"about_ca_system_score_gemma":0.000012131521,"threshold_uncertainty_score":0.60982996},"labels":[],"label_agreement":null},{"id":"W3012381221","doi":"10.1016/j.jneumeth.2020.108682","title":"Three dimensional rendering of auditory neuronal responses: A novel illustration of receptive field across frequency, intensity &amp; time domains","year":2020,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Receptive field; Computer science; Speech recognition; Histogram; Stimulus (psychology); Sound intensity; Auditory system; Signal processing; Artificial intelligence; Acoustics; Digital signal processing; Neuroscience; Psychology","score_opus":0.1453602779910651,"score_gpt":0.378909669309172,"score_spread":0.23354939131810692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012381221","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8092809,0.000006616549,0.18708691,0.0018863466,0.0015410737,0.00010988605,0.00003125555,0.0000133615185,0.000043665495],"genre_scores_gemma":[0.93282187,0.000014535127,0.064355604,0.0024629098,0.0002570636,0.0000012949074,4.485623e-7,0.000018077768,0.00006821861],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99716264,0.00045208866,0.0008616566,0.00042414266,0.00081741565,0.00028208087],"domain_scores_gemma":[0.99642926,0.0016179667,0.001194854,0.00022642493,0.00034489762,0.00018658789],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0016153061,0.00018652291,0.00045239442,0.00013998675,0.00017053739,0.000039485956,0.00053067843,0.0000874963,0.000024126964],"category_scores_gemma":[0.01261222,0.00015505007,0.00022991544,0.00077979075,0.00047553657,0.0005410032,0.00020643992,0.00057498476,0.0000019106358],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065769814,0.00009519822,0.00019375031,0.000017730972,0.0000029114387,0.000018452783,0.00028939702,0.0009399044,0.99572736,0.0001220364,0.0002171438,0.0017184155],"study_design_scores_gemma":[0.0008421933,0.003253508,0.03795455,0.0000954003,0.000033585624,0.00055556936,0.00006761351,0.030481169,0.9240394,0.0014630735,0.000929076,0.00028481454],"about_ca_topic_score_codex":0.00001120025,"about_ca_topic_score_gemma":0.000004990475,"teacher_disagreement_score":0.12354096,"about_ca_system_score_codex":0.000039471768,"about_ca_system_score_gemma":0.00021014186,"threshold_uncertainty_score":0.99570495},"labels":[],"label_agreement":null},{"id":"W3012454631","doi":"10.12688/f1000research.22584.2","title":"Computationally going where experiments cannot: a dynamical assessment of dendritic ion channel currents during in vivo-like states","year":2020,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Neuroscience; Population; Medicine","score_opus":0.07262824145986496,"score_gpt":0.3845222272299463,"score_spread":0.3118939857700813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012454631","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995186,0.00008469313,0.0011026913,0.00082523545,0.0009568786,0.0010320357,0.00037973656,0.000069993155,0.00036277084],"genre_scores_gemma":[0.99867445,0.00024352329,0.00024178707,0.00007664429,0.00009787902,0.00017615326,0.000120573015,0.00005807415,0.0003108878],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9957453,0.0004930512,0.0006312108,0.0010247563,0.0015204464,0.0005852129],"domain_scores_gemma":[0.99873745,0.0003771251,0.00020275147,0.00032644335,0.00015286486,0.00020333263],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032222903,0.0003111688,0.00044211332,0.0004598828,0.0001405192,0.00016231595,0.0006781641,0.00016872738,0.00011208305],"category_scores_gemma":[0.00021655428,0.00032888024,0.00012672367,0.00047626876,0.00015079531,0.00015430166,0.0016779124,0.0012681796,0.000017406226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024630968,0.000801721,0.008539044,0.0024887498,0.000037969705,0.00036988896,0.00096396334,0.07513534,0.9093765,0.0010128098,0.00048814138,0.0005395888],"study_design_scores_gemma":[0.0009094269,0.00015853092,0.02685566,0.00079971616,0.0000073310184,0.000010319515,0.0001270337,0.9459936,0.022049656,0.002675179,0.00006399342,0.0003495772],"about_ca_topic_score_codex":0.0003285942,"about_ca_topic_score_gemma":0.00012566983,"teacher_disagreement_score":0.88732684,"about_ca_system_score_codex":0.00054327823,"about_ca_system_score_gemma":0.00038386186,"threshold_uncertainty_score":0.9999163},"labels":[],"label_agreement":null},{"id":"W3012556434","doi":"10.1016/j.cub.2020.02.070","title":"Vision and Locomotion Combine to Drive Path Integration Sequences in Mouse Retrosplenial Cortex","year":2020,"lang":"en","type":"article","venue":"Current Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":73,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Defense Advanced Research Projects Agency; Alberta Innovates; Fonds Wetenschappelijk Onderzoek; Onderzoeksraad, KU Leuven; Canada Foundation for Innovation; National Science Foundation","keywords":"Retrosplenial cortex; Biology; Neuroscience; Path integration; Path (computing); Cortex (anatomy); Cognitive science; Anatomy; Computational biology; Computer science","score_opus":0.04058794812543866,"score_gpt":0.30678109010759247,"score_spread":0.2661931419821538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012556434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936673,0.000022728778,0.0025194364,0.0027093156,0.00074283936,0.00024436947,0.000030039326,0.000036931124,0.000027048394],"genre_scores_gemma":[0.999036,0.00010883799,0.00004155031,0.0006760861,0.00006859429,0.000010041174,0.000039703988,0.000004607835,0.000014541468],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991688,0.00011650567,0.0001624954,0.00036170217,0.000058504844,0.0001319886],"domain_scores_gemma":[0.99973696,0.00005380049,0.000055153672,0.00006297135,0.000018953362,0.00007218291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006711098,0.000092911585,0.00012415528,0.00005948011,0.00004744269,0.000023285169,0.00007914606,0.00004931761,0.0000132759205],"category_scores_gemma":[0.00027496862,0.00007182605,0.000018315908,0.00020541092,0.00006761066,0.00009004233,0.000065644635,0.00015157559,0.000021769056],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054275137,0.00003619213,0.0033563932,0.00000682436,3.1200165e-7,0.0000015675181,0.00013979226,0.000008419065,0.9569011,0.0042605163,0.00018269365,0.035051942],"study_design_scores_gemma":[0.0048886137,0.014615246,0.11926329,0.0002591906,0.000024884423,0.000034952405,0.00023137126,0.32717055,0.48941457,0.016381325,0.02625988,0.0014561204],"about_ca_topic_score_codex":0.0000099444715,"about_ca_topic_score_gemma":0.00002314081,"teacher_disagreement_score":0.4674865,"about_ca_system_score_codex":0.000025786812,"about_ca_system_score_gemma":0.000009498501,"threshold_uncertainty_score":0.29289815},"labels":[],"label_agreement":null},{"id":"W3012974132","doi":"10.1093/cercor/bhaa058","title":"Dissociable Neural Information Dynamics of Perceptual Integration and Differentiation during Bistable Perception","year":2020,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Fondo Nacional de Desarrollo Científico y Tecnológico; Wellcome Trust","keywords":"Perception; Bistability; Dynamics (music); Cognitive psychology; Psychology; Neuroscience; Cognitive science; Neural correlates of consciousness; Computer science; Cognition; Physics","score_opus":0.015790332338091385,"score_gpt":0.21645455833776028,"score_spread":0.2006642259996689,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012974132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956288,0.0000022358222,0.0026755668,0.0006851849,0.00017773925,0.00020263821,0.000046775356,0.000073386975,0.00050772494],"genre_scores_gemma":[0.9993103,0.00001539832,0.000045510667,0.00031455696,0.00004926936,0.000005568536,0.00014548999,0.000009809527,0.000104087514],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999104,0.000051575942,0.00027486074,0.00020555503,0.00020785986,0.00015611401],"domain_scores_gemma":[0.9995908,0.00002944421,0.00016840444,0.00008363049,0.000052154835,0.00007555854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000039252125,0.00012262579,0.00014248473,0.000064522275,0.00016185142,0.00009241914,0.00008030814,0.000063621934,0.0001378288],"category_scores_gemma":[0.00017401796,0.00011243497,0.000046948884,0.00022372376,0.000060196802,0.0011695434,0.00005906328,0.00014311649,0.000014504329],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000158357,0.00003581273,0.0084614465,0.000121156634,0.0000041202857,7.4082203e-7,0.0024629114,0.00024972318,0.96428543,0.005081133,0.00005408422,0.019085111],"study_design_scores_gemma":[0.00048125492,0.0001844169,0.28327283,0.000013257455,0.000015994676,0.0000065764825,0.0011719645,0.7074598,0.006878591,0.00034243308,0.000018651534,0.00015424032],"about_ca_topic_score_codex":0.000036639758,"about_ca_topic_score_gemma":0.000022475466,"teacher_disagreement_score":0.9574068,"about_ca_system_score_codex":0.00006921952,"about_ca_system_score_gemma":0.000010682831,"threshold_uncertainty_score":0.45849654},"labels":[],"label_agreement":null},{"id":"W3013010530","doi":"10.1093/cercor/bhaa056","title":"Changes in the Proportion of Inhibitory Interneuron Types from Sensory to Executive Areas of the Primate Neocortex: Implications for the Origins of Working Memory Representations","year":2020,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Institute of Mental Health; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Government of Ontario; Simons Foundation","keywords":"Neocortex; Neuroscience; Interneuron; Working memory; Primate; Inhibitory postsynaptic potential; Sensory system; Psychology; Biology; Cognitive psychology; Cognition","score_opus":0.07704002757268556,"score_gpt":0.30087154775782904,"score_spread":0.22383152018514346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013010530","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9892304,0.000016110234,0.00043059152,0.008520124,0.00024725756,0.0011609176,0.00010981839,0.000012828553,0.00027195286],"genre_scores_gemma":[0.99866134,0.000012744156,0.000030081068,0.0010683918,0.000076168406,0.00007838297,0.000006727489,0.000010405294,0.00005574899],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99908006,0.00011268417,0.00027492063,0.00024640287,0.00017670763,0.00010920289],"domain_scores_gemma":[0.9988296,0.00045898114,0.00030202008,0.00031489818,0.00007143005,0.000023066974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010681992,0.00008643802,0.00013429714,0.00003975417,0.00008789451,0.000013321934,0.00033434923,0.000028857705,0.0000066628777],"category_scores_gemma":[0.00039134113,0.000047971436,0.00007786972,0.0004037242,0.00013157965,0.00005572885,0.000096447024,0.00011902917,9.79634e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012582689,0.00006628242,0.0216038,0.000035057255,0.000011136521,4.859033e-7,0.0027362765,0.00032296128,0.9618042,0.008115504,0.00026870178,0.004909763],"study_design_scores_gemma":[0.00029204713,0.00020338413,0.55595064,0.0000711115,0.000060289956,0.0000031941515,0.0011317602,0.0034421629,0.4365229,0.0015990658,0.00062385295,0.00009955415],"about_ca_topic_score_codex":0.00012864049,"about_ca_topic_score_gemma":0.00027915213,"teacher_disagreement_score":0.5343469,"about_ca_system_score_codex":0.000027218508,"about_ca_system_score_gemma":0.000039049733,"threshold_uncertainty_score":0.19562185},"labels":[],"label_agreement":null},{"id":"W3013281916","doi":"10.3389/fnsyn.2020.00011","title":"A Practical Guide to Using CV Analysis for Determining the Locus of Synaptic Plasticity","year":2020,"lang":"en","type":"article","venue":"Frontiers in Synaptic Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal General Hospital; McGill University Health Centre","funders":"National Institute on Aging; Fonds de Recherche du Québec - Santé; McGill University Health Centre; Canadian Institutes of Health Research; Canada Foundation for Innovation; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Neuroscience; Synaptic plasticity; Postsynaptic potential; Neuroplasticity; Plasticity; Computer science; Synapse; Metaplasticity; Biology; Physics; Genetics","score_opus":0.07547128063749065,"score_gpt":0.32576873200839274,"score_spread":0.2502974513709021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013281916","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4812595,0.0000023204998,0.5163056,0.0013906886,0.0005806848,0.00039367136,0.000018344617,0.000022369066,0.000026820164],"genre_scores_gemma":[0.98238283,0.000004115212,0.013515743,0.00399565,0.000039823186,0.000024248307,4.02485e-7,0.000016700871,0.000020507374],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99757904,0.00017340067,0.0004987294,0.000807947,0.0004656251,0.00047526314],"domain_scores_gemma":[0.9984179,0.000842031,0.00022544955,0.0002621792,0.000066065026,0.00018637876],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00034564492,0.00018991478,0.00038663606,0.00026327284,0.00022704339,0.00008969374,0.0006050684,0.00005297279,0.0000034794573],"category_scores_gemma":[0.011679223,0.00014744332,0.00015130504,0.002658696,0.00037334126,0.00026502874,0.00020611128,0.00021275965,0.0000018750862],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033758394,0.00016023744,0.026981667,0.000057377183,0.000033772714,0.000058597165,0.00039481698,0.09488293,0.87374175,0.0009390163,0.0011902726,0.0012220043],"study_design_scores_gemma":[0.0002925211,0.00040517186,0.004647709,0.0000122968895,0.00014073028,0.0000109350585,0.000082082384,0.9843877,0.009325589,0.00009746818,0.0004148437,0.00018295096],"about_ca_topic_score_codex":0.000010763879,"about_ca_topic_score_gemma":0.000004647097,"teacher_disagreement_score":0.8895048,"about_ca_system_score_codex":0.000069181406,"about_ca_system_score_gemma":0.00010233293,"threshold_uncertainty_score":0.9966458},"labels":[],"label_agreement":null},{"id":"W3013450617","doi":"10.1101/2020.03.26.009795","title":"Fifty shades of The Virtual Brain: Converging optimal working points yield biologically plausible electrophysiological and imaging features","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital","funders":"Horizon 2020 Framework Programme; Gauss Centre for Supercomputing; Berlin Institute of Health; Deutsche Forschungsgemeinschaft; James S. McDonnell Foundation","keywords":"Scale (ratio); Computer science; Geography; Cartography","score_opus":0.02371590673035782,"score_gpt":0.218338671580675,"score_spread":0.19462276485031718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013450617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99430937,0.00018099457,0.0004339739,0.00352059,0.0007504081,0.0004955338,0.0000748102,0.00022340716,0.000010892645],"genre_scores_gemma":[0.99557567,0.00013928507,0.0006730711,0.003251939,0.00026814602,0.00003504084,1.66717e-7,0.000051820705,0.0000048488505],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99706537,0.0002964395,0.0004536208,0.0012806227,0.00036505843,0.0005388694],"domain_scores_gemma":[0.99810755,0.0006200643,0.00049241906,0.00051790575,0.00009763193,0.00016440677],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003064506,0.0005011717,0.00055734406,0.0001063057,0.00033217785,0.00023940293,0.00077421474,0.00033683862,0.000029692892],"category_scores_gemma":[0.0020503688,0.00036308533,0.00020257106,0.0004961745,0.00043050468,0.00011670292,0.0014586061,0.001335185,0.000005176682],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011731826,0.000042607546,0.003341521,0.000067075875,0.000019310619,0.00002827998,0.0000070154756,0.00017685235,0.9919055,0.0041137524,0.0001723274,0.00000843351],"study_design_scores_gemma":[0.00033526352,0.00023840886,0.15194313,0.0004225613,0.000047179787,2.9233007e-7,0.000005080506,0.006864006,0.83894604,0.00005346635,0.00048306212,0.0006614805],"about_ca_topic_score_codex":0.000015572195,"about_ca_topic_score_gemma":7.390694e-7,"teacher_disagreement_score":0.15295944,"about_ca_system_score_codex":0.00007823898,"about_ca_system_score_gemma":0.00016549368,"threshold_uncertainty_score":0.9998821},"labels":[],"label_agreement":null},{"id":"W3014513427","doi":"10.1098/rstb.2019.0231","title":"On the methods for reactivation and replay analysis","year":2020,"lang":"en","type":"review","venue":"Philosophical Transactions of the Royal Society B Biological Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; International Development Research Centre","keywords":"Neural activity; Computer science; Task (project management); Neurophysiology; Cognitive psychology; Dynamics (music); Psychology; Cognitive science; Artificial intelligence; Data science; Neuroscience","score_opus":0.2195158642134325,"score_gpt":0.4023153151434989,"score_spread":0.1827994509300664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014513427","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008754738,0.5604109,0.32671776,0.1002668,0.0016748513,0.007197261,0.00086831755,0.0002985352,0.0016900898],"genre_scores_gemma":[0.031830266,0.9631921,0.0029616735,0.00150983,0.00016463705,0.0002558423,0.000006205505,0.00001566265,0.00006378769],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99749976,0.00082542404,0.00043242727,0.0007551879,0.0002667038,0.00022046786],"domain_scores_gemma":[0.991187,0.008098309,0.0003535429,0.00026340276,0.000027870241,0.0000698722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011561536,0.00026036295,0.00078172446,0.00003958299,0.0010525462,0.00006704232,0.0007455372,0.00027366495,0.00004075868],"category_scores_gemma":[0.0014863164,0.00010130446,0.0018009843,0.0018177885,0.001387837,0.000042918888,0.000053375636,0.00055258826,0.0000013532258],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035628593,0.00018160188,0.0000031045913,0.00046911667,0.0003847711,2.0615792e-7,0.000047863035,0.00041112647,0.0006123261,0.09895365,0.000056195837,0.8988444],"study_design_scores_gemma":[0.00032924575,0.0023574363,0.000050981344,0.000936418,0.0051163402,0.000014115762,0.00005234932,0.128294,0.0011222274,0.44792458,0.4126619,0.0011404047],"about_ca_topic_score_codex":0.0000068457166,"about_ca_topic_score_gemma":2.637115e-7,"teacher_disagreement_score":0.897704,"about_ca_system_score_codex":0.00004037511,"about_ca_system_score_gemma":0.00004695657,"threshold_uncertainty_score":0.8095441},"labels":[],"label_agreement":null},{"id":"W3014608058","doi":"10.1101/2020.03.31.018952","title":"Chandelier cell anatomy and function reveal a variably distributed but common signal","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Eye Institute; National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; Army Research Office; Interior Business Center; G. Harold and Leila Y. Mathers Foundation; Intelligence Advanced Research Projects Activity; National Institutes of Health","keywords":"Soma; Neuroscience; Inhibitory postsynaptic potential; Interneuron; Visual cortex; Neuron; Biology; Excitatory postsynaptic potential; Cell type; Population; Cell","score_opus":0.01818910849281132,"score_gpt":0.21433004181039275,"score_spread":0.19614093331758142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014608058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9843758,0.00019626017,0.009951747,0.00091629993,0.0017347711,0.0009319401,0.0013217635,0.00054072076,0.000030699022],"genre_scores_gemma":[0.99753326,0.00014430431,0.00029772674,0.0012998977,0.00049326726,0.00010903447,0.0000027177523,0.000106557665,0.000013215811],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.996636,0.00026401997,0.00052572764,0.0015381785,0.0004863082,0.0005498041],"domain_scores_gemma":[0.99811417,0.00015226267,0.00045407604,0.0007014669,0.00017540052,0.00040264215],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032552634,0.0006001604,0.00057996204,0.00018164997,0.000327259,0.00040209456,0.00041240468,0.0005032648,0.00004618563],"category_scores_gemma":[0.00018897466,0.00062612887,0.00013562155,0.0006148697,0.00014390422,0.0002189594,0.0006906891,0.0011733813,0.00005235425],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016859923,0.00010109284,0.0008550972,0.0003085421,0.000022978442,0.00008891602,0.0000033566141,0.00007309512,0.99670714,0.0010416855,0.0006240531,0.000005464663],"study_design_scores_gemma":[0.0015257028,0.0004598472,0.029838175,0.00026199847,0.00026240808,1.6413902e-7,0.0000031840357,0.027718108,0.92895484,0.000105046434,0.009357885,0.0015126257],"about_ca_topic_score_codex":0.000044245255,"about_ca_topic_score_gemma":0.0000013116767,"teacher_disagreement_score":0.067752264,"about_ca_system_score_codex":0.00017011279,"about_ca_system_score_gemma":0.00023010555,"threshold_uncertainty_score":0.999619},"labels":[],"label_agreement":null},{"id":"W3014747677","doi":"10.20944/preprints202004.0050.v1","title":"The Banach-Tarski Paradox Dictates Snyergistic Routes for Scale-Free Neurodynamics","year":2020,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Connectome; Computer science; Perception; Transfer entropy; Neuroscience; Scale (ratio); Artificial intelligence; Cognitive science; Statistical physics; Physics; Psychology; Functional connectivity","score_opus":0.12327868356075383,"score_gpt":0.32512999166312895,"score_spread":0.20185130810237512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014747677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9688156,0.000096367265,0.003266404,0.015896507,0.0052202153,0.0026877287,0.000606559,0.0006422569,0.0027683373],"genre_scores_gemma":[0.99445266,0.0005968571,0.00018357184,0.0015389592,0.000461743,0.0005721669,0.000087766195,0.00013366721,0.001972634],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99531657,0.00031033848,0.00082767924,0.0021364172,0.00064184703,0.00076715276],"domain_scores_gemma":[0.99454695,0.0019464751,0.0005940624,0.002499835,0.0001420114,0.00027068026],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005654249,0.00065657316,0.0005854491,0.000102941616,0.0007771612,0.00024551302,0.0028160992,0.00030533233,0.000051293242],"category_scores_gemma":[0.006613559,0.00052869844,0.0005283743,0.00028296935,0.00039765565,0.00014213524,0.0040984275,0.0013733265,0.0003598158],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023362744,0.00093400554,0.18648149,0.0020440966,0.00035768852,0.00022198493,0.0014573147,0.031425994,0.6818335,0.07683984,0.004971734,0.011096069],"study_design_scores_gemma":[0.0017045524,0.00026909387,0.16816507,0.00024642167,0.00037172952,0.00005893481,0.00008840049,0.41915986,0.06261478,0.31267557,0.03258457,0.0020610157],"about_ca_topic_score_codex":0.000079937905,"about_ca_topic_score_gemma":0.0000970151,"teacher_disagreement_score":0.6192187,"about_ca_system_score_codex":0.00014740277,"about_ca_system_score_gemma":0.00015390146,"threshold_uncertainty_score":0.99971646},"labels":[],"label_agreement":null},{"id":"W3014784124","doi":"10.1186/s13041-020-00567-8","title":"Donald O. Hebb and the Organization of Behavior: 17 years in the writing","year":2020,"lang":"en","type":"review","venue":"Molecular Brain","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Cognitive science; Phrase; Hebbian theory; TRACE (psycholinguistics); Connectionism; Kinship; Sequence (biology); Psychology; Computer science; Artificial intelligence; Sociology; Artificial neural network; Linguistics; Philosophy","score_opus":0.02558325478095305,"score_gpt":0.2840270434243874,"score_spread":0.25844378864343437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014784124","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009593329,0.98158836,0.00033527325,0.005265059,0.00019724348,0.0024090481,0.000059196514,0.000043642056,0.0005088263],"genre_scores_gemma":[0.017006356,0.97803324,0.000027163022,0.0046346583,0.000059012076,0.00007005741,0.000043291,0.000059939433,0.000066262015],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.998448,0.00061312417,0.00030139406,0.00028539856,0.00023689757,0.00011519926],"domain_scores_gemma":[0.99905354,0.00050561357,0.00018497214,0.00022284106,0.0000138937585,0.000019147417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003836537,0.00014716425,0.00038878812,0.000060669598,0.000053859134,0.00006984353,0.0003253071,0.00008099705,0.000007875245],"category_scores_gemma":[0.0008303498,0.00008708329,0.000108390836,0.00070335524,0.00012118666,0.00003043406,0.00011455371,0.00030180506,0.0000047646677],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000056923204,0.000058390477,0.000018871602,0.0014220305,0.000012877687,0.00043076364,0.00042352045,0.0000065838535,0.010218003,0.020535665,0.00082470506,0.9660429],"study_design_scores_gemma":[0.0012738135,0.000105229425,0.00030673505,0.0024721867,0.00050646876,0.00062986446,0.000097892545,0.00040003366,0.0007788538,0.000736587,0.99203944,0.00065291644],"about_ca_topic_score_codex":0.000010770482,"about_ca_topic_score_gemma":0.0000028915554,"teacher_disagreement_score":0.9912147,"about_ca_system_score_codex":0.000015537205,"about_ca_system_score_gemma":0.000039748156,"threshold_uncertainty_score":0.35511532},"labels":[],"label_agreement":null},{"id":"W3014788017","doi":"10.1093/cercor/bhaa019","title":"Abrupt, Asynchronous Changes in Action Representations by Anterior Cingulate Cortex Neurons during Trial and Error Learning","year":2020,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Anterior cingulate cortex; Cingulate cortex; Neuroscience; Psychology; Cortex (anatomy); Action (physics); Error-related negativity; Asynchronous communication; Cognitive psychology; Cognition; Computer science; Central nervous system","score_opus":0.03972944107678361,"score_gpt":0.2887181687542968,"score_spread":0.24898872767751318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014788017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966377,0.00002246147,0.00007176713,0.0019285547,0.0005015808,0.00046378703,0.000015139202,0.00014075868,0.00021824846],"genre_scores_gemma":[0.99844635,0.00010921764,0.000012103598,0.00064521725,0.00018347782,0.000024952906,0.000012338714,0.000029350282,0.0005369738],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99849474,0.00014805868,0.00025674666,0.00062554807,0.00017900516,0.0002959121],"domain_scores_gemma":[0.9994787,0.00008934015,0.0001539961,0.00012820333,0.000014838877,0.00013490647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000060948154,0.00017156263,0.00021301192,0.00009269407,0.000267611,0.00011499348,0.00010937548,0.000065513275,0.00009603313],"category_scores_gemma":[0.0003449429,0.00017541762,0.000047645794,0.0003259473,0.00007106654,0.00027149523,0.00010243741,0.00035792228,0.000018327608],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014033621,0.000035504356,0.0033151654,0.000029377485,0.0000029876946,0.000039809653,0.0002780017,0.0000842179,0.99139744,0.000031367854,0.00007180544,0.0033109458],"study_design_scores_gemma":[0.034937877,0.0033427519,0.6867829,0.000120197124,0.000072019626,0.00022058676,0.00087046326,0.15188108,0.1187459,0.0001409634,0.0017099031,0.0011753921],"about_ca_topic_score_codex":0.00008573311,"about_ca_topic_score_gemma":0.00015107087,"teacher_disagreement_score":0.8726516,"about_ca_system_score_codex":0.000039930117,"about_ca_system_score_gemma":0.000018796823,"threshold_uncertainty_score":0.71533227},"labels":[],"label_agreement":null},{"id":"W3015095120","doi":"10.1523/jneurosci.1179-22.2022","title":"On the Role of Theory and Modeling in Neuroscience","year":2023,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":95,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Army Research Office; National Institute of Biomedical Imaging and Bioengineering; National Institute on Deafness and Other Communication Disorders; National Institute on Drug Abuse; Horizon 2020 Framework Programme; National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; National Institutes of Health; Directorate for Biological Sciences; University of Texas at San Antonio; U.S. Department of Defense; National Science Foundation; Sandler Foundation","keywords":"Abstraction; Cognitive science; Perspective (graphical); Normative; Computer science; Field (mathematics); Computational neuroscience; Bridging (networking); Data science; Computational model; Neuroscience; Psychology; Management science; Artificial intelligence; Epistemology","score_opus":0.05837629703186212,"score_gpt":0.2800707653332243,"score_spread":0.22169446830136216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015095120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978436,0.000014086087,0.0003054811,0.0008680936,0.00054318854,0.000079141784,0.0000021715578,0.000010633475,0.000333603],"genre_scores_gemma":[0.9981158,0.00016038308,0.0000049502155,0.0016292608,0.000019089088,0.0000011524627,1.3637545e-8,0.00000682778,0.000062541425],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984131,0.00025863826,0.0003290021,0.00024565333,0.0005291387,0.00022445337],"domain_scores_gemma":[0.99860483,0.0009096711,0.00022518457,0.00016181638,0.00003579199,0.00006269136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014796096,0.00008997734,0.00013428056,0.000305966,0.0001459498,0.00006088799,0.0005064376,0.000021299411,0.0000017741925],"category_scores_gemma":[0.0045347568,0.000055067725,0.00004971264,0.0012999063,0.00028541865,0.00031296862,0.00011391991,0.0002845718,0.0000018794965],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004641176,0.000028096207,0.00018977435,0.00000245647,7.0527776e-8,0.000030302373,0.00008958301,0.011330234,0.94682103,0.039901994,0.000009618811,0.0015504026],"study_design_scores_gemma":[0.00021518357,0.0005605134,0.00957423,0.000056791712,0.0000031769337,0.00020626257,0.0001594992,0.84272206,0.052866638,0.093275174,0.00025126143,0.00010922796],"about_ca_topic_score_codex":0.0000019522797,"about_ca_topic_score_gemma":6.654899e-7,"teacher_disagreement_score":0.8939544,"about_ca_system_score_codex":0.000011254237,"about_ca_system_score_gemma":0.000043690223,"threshold_uncertainty_score":0.54288554},"labels":[],"label_agreement":null},{"id":"W3015385604","doi":"10.1101/2020.04.09.030239","title":"Single-neuron models linking electrophysiology, morphology and transcriptomics across cortical cell types","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Supercomputing Center, Korea Institute of Science and Technology Information; Office of Science; Board of the Swiss Federal Institutes of Technology; National Energy Research Scientific Computing Center; U.S. Department of Energy","keywords":"Neuroscience; Electrophysiology; Computational model; Cell type; Computer science; Visual cortex; Robustness (evolution); Neuron; Biology; Artificial intelligence; Biological system; Cell; Gene","score_opus":0.03207822638120098,"score_gpt":0.22971665257550392,"score_spread":0.19763842619430294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015385604","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99281776,0.00021892863,0.003934006,0.0005395936,0.0013925367,0.0004908051,0.00021132831,0.0003843466,0.000010670854],"genre_scores_gemma":[0.9962139,0.0004803758,0.000796449,0.0020019787,0.0003204741,0.00004617443,5.5338256e-7,0.0001364168,0.0000036496087],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99654585,0.00029013184,0.00048662786,0.00165225,0.0002596119,0.00076550647],"domain_scores_gemma":[0.9984959,0.00018706702,0.00028512414,0.00063639355,0.00011742678,0.00027809665],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018530933,0.00055716455,0.00061850005,0.00010086531,0.00029710794,0.00025418313,0.00050553726,0.00059990864,0.0000070324236],"category_scores_gemma":[0.00021373779,0.00058629096,0.00014568909,0.0003264751,0.00034152184,0.00017897786,0.0005274179,0.0016326555,0.00002563295],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001133005,0.00011773306,0.000080720245,0.00019549503,0.000013530028,0.00012089575,0.000016277483,0.0004904047,0.99733603,0.0014881373,0.000023895258,0.000003586008],"study_design_scores_gemma":[0.00049931457,0.00037368698,0.0029039118,0.00006548264,0.000077164754,2.27721e-7,0.0000014477772,0.053093728,0.941694,0.00014234628,0.00042087652,0.0007278028],"about_ca_topic_score_codex":0.000013796918,"about_ca_topic_score_gemma":0.0000010195107,"teacher_disagreement_score":0.055642013,"about_ca_system_score_codex":0.000115386465,"about_ca_system_score_gemma":0.00014996874,"threshold_uncertainty_score":0.9996588},"labels":[],"label_agreement":null},{"id":"W3015701150","doi":"10.1016/j.neubiorev.2020.03.030","title":"Oscillations in the auditory system and their possible role","year":2020,"lang":"en","type":"review","venue":"Neuroscience & Biobehavioral Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Fondation pour la Recherche Médicale; Agence Nationale de la Recherche","keywords":"Auditory cortex; Entrainment (biomusicology); Neuroscience; Auditory system; Psychology; Rhythm; Auditory perception; Auditory pathways; Audiology; Perception; Medicine; Physics; Acoustics","score_opus":0.13874282660835524,"score_gpt":0.3515175581769656,"score_spread":0.21277473156861038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015701150","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00019633911,0.99500126,0.000019685709,0.00003225836,0.0015122462,0.0025816415,0.00010078797,0.00009572556,0.0004600731],"genre_scores_gemma":[0.001726915,0.9967368,0.000012480861,0.0007932335,0.00022470766,0.00036062396,0.0000074574546,0.00004181563,0.000095957395],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99580216,0.0009685404,0.0009863834,0.0013020977,0.00042756813,0.0005132309],"domain_scores_gemma":[0.99840844,0.000041063537,0.00062702276,0.0007293681,0.00001861671,0.00017552117],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00080162456,0.000633737,0.00145496,0.00023979312,0.00047282426,0.0004352388,0.0011953425,0.00018711018,0.0000074444133],"category_scores_gemma":[0.00052288896,0.00033913582,0.00043978373,0.0020111355,0.00035728858,0.0003429402,0.00027398422,0.00084709754,0.00010545966],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000010137437,0.00003847285,0.00000761242,0.0011345942,2.1456813e-8,0.000034046854,0.00006984811,2.8444677e-7,0.0015817072,0.00037056426,0.00034993284,0.9964119],"study_design_scores_gemma":[0.000051285002,0.00012170534,0.000041656218,0.0017516604,0.00006858773,0.0003001272,0.000051657942,0.0002745057,0.0000032294922,0.000014349936,0.99699724,0.00032401027],"about_ca_topic_score_codex":0.000015056336,"about_ca_topic_score_gemma":0.000008193103,"teacher_disagreement_score":0.9966473,"about_ca_system_score_codex":0.00012056423,"about_ca_system_score_gemma":0.00018934184,"threshold_uncertainty_score":0.99990606},"labels":[],"label_agreement":null},{"id":"W3015733506","doi":"10.1371/journal.pbio.3000491","title":"Ultralow-frequency neural entrainment to pain","year":2020,"lang":"en","type":"article","venue":"PLoS Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"H2020 European Research Council; National Natural Science Foundation of China; Wellcome Trust; Wellcome","keywords":"Entrainment (biomusicology); Sensory system; Stimulus modality; Neuroscience; Modalities; Rhythm; Biology; Physics; Computer science; Acoustics","score_opus":0.05045261701990465,"score_gpt":0.24932358064137783,"score_spread":0.19887096362147316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015733506","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9620308,0.000010301723,0.0023223388,0.033021137,0.000378333,0.00033917342,0.00004054603,0.00016203741,0.0016952871],"genre_scores_gemma":[0.94449896,0.000007613121,0.00022806859,0.055022657,0.00016416263,0.000021054018,0.000007644871,0.000010076849,0.00003977063],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99884504,0.00022633137,0.00014924155,0.00041600017,0.00007968569,0.00028372157],"domain_scores_gemma":[0.9994707,0.00019278198,0.0000341125,0.00012290908,0.000011029848,0.00016845718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008240158,0.000109301116,0.00012520496,0.00002937817,0.0000641754,0.000017001223,0.00020833068,0.000050062252,0.00017510541],"category_scores_gemma":[0.0010982254,0.00008899614,0.00004490489,0.00018540028,0.000046186615,0.000040699975,0.000035056146,0.000119451746,0.00024108228],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019137175,0.000024718196,0.001096698,0.0000055576647,0.0000021614326,0.000012520653,0.00008727873,0.000015285776,0.99150103,0.0034826817,0.0004074334,0.0033454995],"study_design_scores_gemma":[0.00074388966,0.0038112458,0.0015741816,0.000012886493,0.00001985451,0.000019125793,0.00006060132,0.04406768,0.9201717,0.008374667,0.020463718,0.0006804585],"about_ca_topic_score_codex":0.0000046632645,"about_ca_topic_score_gemma":0.0000014631494,"teacher_disagreement_score":0.07132934,"about_ca_system_score_codex":0.000020081847,"about_ca_system_score_gemma":0.000009382094,"threshold_uncertainty_score":0.36291572},"labels":[],"label_agreement":null},{"id":"W3015988964","doi":"10.1016/j.neuroimage.2020.116815","title":"Looming and receding visual networks in awake marmosets investigated with fMRI","year":2020,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research; National Institutes of Health; Canada First Research Excellence Fund","keywords":"Looming; Neuroscience; Psychology; Macaque; Posterior parietal cortex; Marmoset; Superior colliculus; Context (archaeology); Putamen; Cognitive psychology; Biology","score_opus":0.03406562876040724,"score_gpt":0.24477903493285416,"score_spread":0.21071340617244694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015988964","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958545,0.000010032062,0.0004423855,0.002598712,0.00013017788,0.00017833136,0.0000022933825,0.000099246936,0.0006843375],"genre_scores_gemma":[0.99244016,0.00003396943,0.00010206506,0.007270846,0.000075067306,0.000004974347,0.000002523704,0.000027349555,0.000043067696],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99883187,0.00009766264,0.00015875166,0.00050597446,0.00014839807,0.000257367],"domain_scores_gemma":[0.9995435,0.00015074197,0.000061222076,0.000086406784,0.00001079478,0.00014734521],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007370442,0.00014317081,0.00014179992,0.000054714532,0.00008995122,0.00010333601,0.00009612092,0.00004115217,0.000011292752],"category_scores_gemma":[0.0003383887,0.000124973,0.000015970738,0.0005007222,0.00009720868,0.0002293569,0.0000923278,0.00033304107,0.0000066907055],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008698546,0.000024471026,0.01946357,0.00002513942,0.0000011798941,0.00046831832,0.00014127149,0.0011002055,0.9729115,0.00019463387,0.00027368724,0.005309058],"study_design_scores_gemma":[0.0013012129,0.00053431897,0.055141136,0.000059113972,0.0000106704665,0.00011360256,0.000037843914,0.90281355,0.03837985,0.00010361748,0.0011253022,0.0003797558],"about_ca_topic_score_codex":0.000009624645,"about_ca_topic_score_gemma":0.000008036368,"teacher_disagreement_score":0.9345316,"about_ca_system_score_codex":0.000010892298,"about_ca_system_score_gemma":0.000013222583,"threshold_uncertainty_score":0.50962514},"labels":[],"label_agreement":null},{"id":"W3016168207","doi":"10.1109/tnsre.2020.2987001","title":"Hierarchical Bayesian Optimization of Spatiotemporal Neurostimulations for Targeted Motor Outputs","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Neural Systems and Rehabilitation Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Hôpital du Sacré-Cœur de Montréal; Université de Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Bayesian optimization; Computer science; Neurostimulation; Artificial intelligence; Process (computing); Bayesian probability; Spurious relationship; Machine learning; Neuroscience; Stimulation; Psychology","score_opus":0.016399274733056288,"score_gpt":0.22554353768454863,"score_spread":0.20914426295149235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016168207","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15990439,0.000010883497,0.83695376,0.0014129155,0.00067992666,0.00079352444,0.00012140729,0.000117955846,0.0000052593973],"genre_scores_gemma":[0.9967461,0.0000057344714,0.0029307266,0.000102059945,0.00006143251,0.000088104825,0.0000061580604,0.000029477122,0.00003019199],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988737,0.00006643206,0.00039324976,0.00033944278,0.00017552784,0.00015161587],"domain_scores_gemma":[0.9988074,0.0008061792,0.00009367858,0.00010566052,0.00006304428,0.00012405985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000734586,0.00015363679,0.00020390954,0.00014817655,0.00013800534,0.000040759263,0.00006207074,0.00007239965,0.000005101687],"category_scores_gemma":[0.00021205278,0.00014543586,0.00010638378,0.00028787876,0.00004975324,0.00021786039,0.0000012641932,0.000141272,6.578017e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007642643,0.0000318051,0.000011287079,0.00017123629,0.0000037835591,3.867401e-7,0.00015616337,0.8248955,0.17362754,0.00046595422,0.000008022593,0.00055189175],"study_design_scores_gemma":[0.00045963615,0.0007956824,0.00026775963,0.000030659707,0.000013521182,0.000003737202,0.000023742097,0.9916459,0.0065235654,0.0000108192135,0.00009274135,0.0001322725],"about_ca_topic_score_codex":0.000010368402,"about_ca_topic_score_gemma":6.37709e-7,"teacher_disagreement_score":0.8368417,"about_ca_system_score_codex":0.000021415715,"about_ca_system_score_gemma":0.00001200344,"threshold_uncertainty_score":0.5930702},"labels":[],"label_agreement":null},{"id":"W3016266982","doi":"10.3390/vision4020022","title":"Pulvinar Modulates Synchrony across Visual Cortical Areas","year":2020,"lang":"en","type":"article","venue":"Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Comisión Nacional de Investigación Científica y Tecnológica; Canadian Institutes of Health Research","keywords":"Visual cortex; Neuroscience; Thalamus; Cortex (anatomy); Physics; Coupling (piping); Lateral geniculate nucleus; Psychology; Materials science","score_opus":0.02776495748945453,"score_gpt":0.31163178690165044,"score_spread":0.28386682941219593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016266982","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951638,0.000011388893,0.0012620977,0.0024961361,0.0003803231,0.000118493175,0.000008078648,0.00014063911,0.00041905735],"genre_scores_gemma":[0.997297,0.000017200298,0.000032104974,0.0023638532,0.00013082947,0.0000028875093,0.0000047093417,0.000016338536,0.00013510969],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99886227,0.00006772498,0.00015509987,0.00041399375,0.00024969253,0.0002512175],"domain_scores_gemma":[0.9995511,0.00012096727,0.000041218733,0.00011637901,0.000018898347,0.00015139673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007068388,0.00011002072,0.00011405202,0.00001578209,0.00020539582,0.00009435792,0.00013267655,0.000056546876,0.00008567563],"category_scores_gemma":[0.00048672655,0.00008988708,0.000058022288,0.00022824007,0.00006862215,0.0001797978,0.00013722018,0.00017202522,0.00036601946],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008418278,0.00006886217,0.000504661,0.000012406626,0.000001121831,0.000047306847,0.0000913376,0.00016368474,0.9788093,0.0006488372,0.001068036,0.01850025],"study_design_scores_gemma":[0.0006658562,0.0019478226,0.028243996,0.00003229812,0.000008655974,0.00003764861,0.00006106533,0.80202395,0.16014074,0.0008467251,0.005651502,0.00033975122],"about_ca_topic_score_codex":0.000004242572,"about_ca_topic_score_gemma":8.5716596e-7,"teacher_disagreement_score":0.81866854,"about_ca_system_score_codex":0.000020365855,"about_ca_system_score_gemma":0.000009100751,"threshold_uncertainty_score":0.47045615},"labels":[],"label_agreement":null},{"id":"W3016391357","doi":"10.1038/s41583-020-0277-3","title":"Backpropagation and the brain","year":2020,"lang":"en","type":"review","venue":"Nature reviews. Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":924,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Google (Canada); University of Toronto","funders":"Biotechnology and Biological Sciences Research Council","keywords":"Backpropagation; Computer science; Artificial neural network; Artificial intelligence; Perspective (graphical); Deep learning; Machine learning; Neuroscience; Psychology","score_opus":0.059340965843327285,"score_gpt":0.3433019749919349,"score_spread":0.2839610091486076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016391357","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[7.301363e-7,0.9908072,0.000094540046,0.0038065603,0.0017162706,0.002709727,0.000027988879,0.000085368476,0.00075165305],"genre_scores_gemma":[0.000023717632,0.98251045,0.000026437936,0.016323345,0.00027379967,0.00016188614,0.000005720823,0.000046548532,0.00062806957],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9949914,0.0017209394,0.0007931837,0.0015030397,0.00059129857,0.0004001416],"domain_scores_gemma":[0.99685836,0.0014808425,0.0007954125,0.0006626455,0.00002706587,0.00017569472],"candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001153572,0.0005880893,0.001757447,0.00012355905,0.00047915053,0.0003759397,0.0011649382,0.00036777378,0.000010799667],"category_scores_gemma":[0.011686065,0.00029776007,0.0005390357,0.0019735466,0.00080552686,0.00028848991,0.0004066333,0.0023260799,0.00013147247],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000053177387,0.000008537038,6.0321206e-8,0.0027115718,7.2902975e-7,0.000019593432,0.0000091242555,9.7267495e-8,0.00019923784,0.011180218,0.0021418177,0.9837237],"study_design_scores_gemma":[0.00017145129,0.000046881345,0.0000011595258,0.001938688,0.00011256983,0.00038021294,4.3638025e-7,0.00031875665,0.0000110393785,0.00033445426,0.9963849,0.0002994146],"about_ca_topic_score_codex":0.0000011314975,"about_ca_topic_score_gemma":9.326332e-7,"teacher_disagreement_score":0.99424314,"about_ca_system_score_codex":0.000048004735,"about_ca_system_score_gemma":0.00014634174,"threshold_uncertainty_score":0.9999756},"labels":[],"label_agreement":null},{"id":"W3016754084","doi":"10.1371/journal.pcbi.1008289","title":"Reconciling emergences: An information-theoretic approach to identify causal emergence in multivariate data","year":2020,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":149,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Ad Astra Chandaria Foundation; Wellcome Trust","keywords":"Flocking (texture); Computer science; Multivariate statistics; Causation; Decoupling (probability); Causal model; Causality (physics); Artificial intelligence; Data science; Econometrics; Epistemology; Machine learning; Mathematics; Statistics","score_opus":0.16236874212286248,"score_gpt":0.34847881312959733,"score_spread":0.18611007100673485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016754084","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88574857,0.000006173478,0.11064972,0.0017579548,0.0004549834,0.0004129292,0.00028253687,0.00009094678,0.00059619744],"genre_scores_gemma":[0.9901723,0.000005938903,0.0054961015,0.0035082414,0.00008133934,0.000019731573,0.000706032,0.0000070081965,0.0000032776707],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998529,0.00020628587,0.0003978392,0.0004958936,0.00016426739,0.00020669516],"domain_scores_gemma":[0.99929976,0.00022194682,0.00010057508,0.00019124626,0.00006279632,0.00012365717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019425123,0.00011919373,0.00014639957,0.0001080746,0.00009679793,0.000040870647,0.00055949006,0.000056633657,0.00007909601],"category_scores_gemma":[0.0011321604,0.00011124878,0.000018487552,0.0004894091,0.00006216674,0.00066395005,0.00024025301,0.00014964434,0.00016630164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029927737,0.00044747186,0.006724175,0.00012983037,0.000028010218,0.0000093453855,0.0046142708,0.48699522,0.33690587,0.15344825,0.0007264669,0.009671831],"study_design_scores_gemma":[0.00019829278,0.00012207858,0.0036472334,0.000005192517,0.0000039248866,0.000004245614,0.000093392264,0.9873879,0.00050004496,0.007583949,0.0002986083,0.00015513036],"about_ca_topic_score_codex":0.000037092763,"about_ca_topic_score_gemma":0.000007246257,"teacher_disagreement_score":0.5003927,"about_ca_system_score_codex":0.000016146685,"about_ca_system_score_gemma":0.00005228865,"threshold_uncertainty_score":0.4536594},"labels":[],"label_agreement":null},{"id":"W3016755997","doi":"10.1096/fasebj.2020.34.s1.03471","title":"Comparative Neuromorphology of Purkinje Neurons Across Species","year":2020,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Biology; Soma; Gecko; Evolutionary biology; Purkinje cell; Cerebellum; Zoology; Neuroscience","score_opus":0.10928959872287634,"score_gpt":0.30032013930775187,"score_spread":0.1910305405848755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016755997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98982644,0.00001246338,0.0003630839,0.0077553126,0.00055936334,0.000084143954,0.000040936688,0.000013016738,0.0013452242],"genre_scores_gemma":[0.99618846,0.00004652403,0.000013481641,0.0032614195,0.00024408568,7.58584e-7,6.5254267e-7,0.000007702448,0.00023690029],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989364,0.00025647163,0.00022339587,0.00015770773,0.00021192158,0.00021408805],"domain_scores_gemma":[0.9992706,0.00026968092,0.00020399508,0.00012194882,0.000037250164,0.00009649737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012691408,0.00009695405,0.00017984513,0.000019351155,0.00030350778,0.00006390578,0.0003681586,0.000021623462,0.00020917063],"category_scores_gemma":[0.00022087162,0.000060815968,0.00008975452,0.00022781975,0.00030306034,0.00010468849,0.0001035688,0.00042787197,0.000059823727],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008567708,0.000023111983,0.00021288343,0.000001996087,0.0000035116527,0.00007399094,0.0009486924,0.00047351694,0.99586403,0.0007953193,0.0012535356,0.00026372273],"study_design_scores_gemma":[0.0004515676,0.0006377841,0.0072419886,0.000005570512,0.0000134702395,0.00097424857,0.00043793907,0.0056959973,0.9794718,0.000456092,0.0045066467,0.00010692032],"about_ca_topic_score_codex":0.0000019310523,"about_ca_topic_score_gemma":0.000001840799,"teacher_disagreement_score":0.016392266,"about_ca_system_score_codex":0.000008453416,"about_ca_system_score_gemma":0.000022504379,"threshold_uncertainty_score":0.24800032},"labels":[],"label_agreement":null},{"id":"W3016896659","doi":"10.1162/jocn_a_01567","title":"Spatial Attention and Temporal Expectation Exert Differential Effects on Visual and Auditory Discrimination","year":2020,"lang":"en","type":"article","venue":"Journal of Cognitive Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Columbia College","funders":"National Institute of Mental Health; National Institutes of Health; Horizon 2020 Framework Programme; Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Psychology; Stimulus (psychology); Magnetoencephalography; Stimulus modality; Sensory system; Multisensory integration; Visual perception; Cognitive psychology; Neuroscience; Electroencephalography; Perception; Communication","score_opus":0.024933772549792496,"score_gpt":0.2791798519865293,"score_spread":0.25424607943673677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016896659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9862693,0.0000061456817,0.011224676,0.0010096399,0.0012598607,0.00017235626,0.0000045634797,0.0000141642795,0.000039310267],"genre_scores_gemma":[0.9980399,0.000050579292,0.000009499051,0.0014374349,0.0004316738,0.0000028346603,0.0000010992608,0.0000095969,0.000017382543],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986165,0.00019079055,0.00024047735,0.00032230816,0.0004883862,0.00014152042],"domain_scores_gemma":[0.9989698,0.00043284375,0.00032536857,0.000028990435,0.00008840071,0.00015457458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008386744,0.00013151346,0.00015863411,0.00012543284,0.00019578406,0.00013020374,0.000077715515,0.00003428574,0.0000033723952],"category_scores_gemma":[0.0020425224,0.00010627488,0.000047254613,0.0001782066,0.00017642482,0.0005593772,0.00005012812,0.00021852777,0.0000018349701],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003015315,0.000065322034,0.0020780724,0.000023950539,8.8001e-7,0.000048468188,0.000211549,0.0000020807825,0.9731094,0.000060666818,0.000024533922,0.024073519],"study_design_scores_gemma":[0.0019595295,0.0060055996,0.6473862,0.00021714531,0.000055439803,0.00015113331,0.00016983988,0.027031302,0.3165226,0.0002065638,0.00004672633,0.00024794418],"about_ca_topic_score_codex":0.0000017082223,"about_ca_topic_score_gemma":8.8733617e-7,"teacher_disagreement_score":0.6565868,"about_ca_system_score_codex":0.000015243839,"about_ca_system_score_gemma":0.000023586137,"threshold_uncertainty_score":0.43337637},"labels":[],"label_agreement":null},{"id":"W3018303568","doi":"10.1038/s41467-020-15763-2","title":"Feature-specific neural reactivation during episodic memory","year":2020,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Episodic memory; Feature (linguistics); Computer science; Recall; Voxel; Pattern recognition (psychology); Artificial intelligence; Neural correlates of consciousness; Neuroscience; Psychology; Cognitive psychology; Cognition","score_opus":0.04926386709516782,"score_gpt":0.27887753992129466,"score_spread":0.22961367282612682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3018303568","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77258354,0.0014079874,0.00011809137,0.21307996,0.0007254623,0.00057402503,0.000040783863,0.00055907393,0.010911109],"genre_scores_gemma":[0.99360734,0.00046599028,0.00043412004,0.0049293414,0.00015517752,0.00002324747,0.00004372585,0.000022817334,0.00031821648],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99895614,0.0001769055,0.00014316142,0.00032842852,0.0002191393,0.00017619945],"domain_scores_gemma":[0.99842465,0.00030561708,0.000114879185,0.0009988827,0.000056214703,0.00009977179],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006460625,0.00013282584,0.0001178424,0.00006873236,0.00053182757,0.00007896889,0.0008869002,0.00017490814,0.000020276071],"category_scores_gemma":[0.0005576574,0.00012629134,0.00007586749,0.00063429365,0.00010324147,0.0003093905,0.00029139296,0.0013956815,0.00006360079],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034109667,0.0000417379,0.00015620561,0.0000074205436,0.0000025173947,0.0000034209895,0.00015109498,0.000056258963,0.9809577,0.010201899,0.0056467415,0.0027408835],"study_design_scores_gemma":[0.001500576,0.00016638447,0.05715925,0.00004257759,0.000033910575,0.00011157963,0.00022113879,0.05145659,0.4140096,0.00089796464,0.47350204,0.000898396],"about_ca_topic_score_codex":0.0000018393616,"about_ca_topic_score_gemma":0.000008927067,"teacher_disagreement_score":0.5669481,"about_ca_system_score_codex":0.000050216047,"about_ca_system_score_gemma":0.000015118145,"threshold_uncertainty_score":0.6063619},"labels":[],"label_agreement":null},{"id":"W3018628027","doi":"10.1126/sciadv.aay5333","title":"Distinct roles of parvalbumin and somatostatin interneurons in gating the synchronization of spike times in the neocortex","year":2020,"lang":"en","type":"article","venue":"Science Advances","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Mila - Quebec Artificial Intelligence Institute; The Scarborough Hospital; University of Toronto","funders":"National Research Foundation of Korea; Human Frontier Science Program; Wellcome Trust","keywords":"Neocortex; Parvalbumin; Neuroscience; Somatostatin; Spike (software development); Synchronization (alternating current); Gating; Biology; Interneuron; Computer science; Inhibitory postsynaptic potential","score_opus":0.015839570057495474,"score_gpt":0.2662077382352623,"score_spread":0.2503681681777668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3018628027","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974707,0.00007024047,0.000268285,0.001732858,0.000047996953,0.00016124763,0.000005858898,0.0000055908504,0.00023723421],"genre_scores_gemma":[0.999542,0.00002906132,0.00006390708,0.00034439177,0.000008201145,0.000005401339,3.6568338e-7,0.00000257046,0.0000040890445],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999132,0.0000811099,0.00019978535,0.00022202788,0.00024247632,0.00012263634],"domain_scores_gemma":[0.99925035,0.00048218956,0.00013967742,0.00009389513,0.000016915335,0.000016989165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030152494,0.000058771515,0.00008536408,0.00004669448,0.000077588964,0.00003264319,0.00033362157,0.000007931468,0.00000348537],"category_scores_gemma":[0.0014407437,0.000033034652,0.000012126339,0.00088502513,0.00066574046,0.00037269908,0.00005941033,0.00007889683,6.4633474e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026629383,0.000047888814,0.08284471,0.000065130276,3.5839386e-7,0.000005962367,0.005296679,0.0023277462,0.8288238,0.006025817,0.000008779498,0.074526474],"study_design_scores_gemma":[0.000590669,0.0005893369,0.27294096,0.00023388895,0.000007912958,0.000017229451,0.007888845,0.31526056,0.39258796,0.009181758,0.00044108555,0.00025977404],"about_ca_topic_score_codex":0.000018738916,"about_ca_topic_score_gemma":0.000167736,"teacher_disagreement_score":0.43623585,"about_ca_system_score_codex":0.0000067305236,"about_ca_system_score_gemma":0.000030496172,"threshold_uncertainty_score":0.24529484},"labels":[],"label_agreement":null},{"id":"W3018976176","doi":"10.1111/gbb.12659","title":"Task phase‐specific involvement of the rat posterior parietal cortex in performance of the <scp>TUNL</scp> task","year":2020,"lang":"en","type":"article","venue":"Genes Brain & Behavior","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Institute of Neurosciences, Mental Health and Addiction; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Posterior parietal cortex; Working memory; Neuroscience; Latency (audio); Task (project management); Cognition; Psychology; Sensory system; Encoding (memory); Computer science; Cognitive psychology","score_opus":0.0375527255244656,"score_gpt":0.25419964058804767,"score_spread":0.21664691506358208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3018976176","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971399,0.00009517253,0.000007200521,0.00084343815,0.00088949176,0.00083310826,0.00011326998,0.000020844243,0.00005759552],"genre_scores_gemma":[0.99756765,0.00006251089,0.000016586953,0.0018105541,0.00006220565,0.000059973256,0.000007654651,0.000024313373,0.0003885263],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99812615,0.000169244,0.0004917641,0.00043703956,0.0004783879,0.00029741507],"domain_scores_gemma":[0.9989145,0.00017917449,0.0002980924,0.0004909352,0.000047301382,0.000069994145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017025541,0.00020467633,0.00025048695,0.000047983795,0.00015132732,0.0000355,0.0006730672,0.00007180247,0.000027473487],"category_scores_gemma":[0.0001641295,0.00013157359,0.0001751538,0.0006485454,0.0002806791,0.0001394285,0.00034474675,0.00022690838,0.000010580834],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024053797,0.0002082554,0.016864866,0.00002884206,0.0000019236968,0.0000048164475,0.0006536797,0.000045262797,0.9733442,0.000056880937,0.00053107453,0.008236166],"study_design_scores_gemma":[0.0012423157,0.0005398819,0.17450489,0.00004675897,0.000034188168,0.000015138047,0.00026373874,0.001846445,0.81063163,0.000008568949,0.010769403,0.00009706227],"about_ca_topic_score_codex":0.000015826767,"about_ca_topic_score_gemma":0.000023078577,"teacher_disagreement_score":0.16271256,"about_ca_system_score_codex":0.00003813194,"about_ca_system_score_gemma":0.00006718292,"threshold_uncertainty_score":0.53654146},"labels":[],"label_agreement":null},{"id":"W3019135420","doi":"10.1101/2020.04.24.059618","title":"Fractal analysis of muscle activity patterns during locomotion: pitfalls and how to avoid them","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Canadian Institutes of Health Research; Deutsche Forschungsgemeinschaft","keywords":"Hurst exponent; Fractal dimension; Fractal; Zoom; Fractal analysis; Treadmill; Computer science; Mathematics; Nonlinear system; Representation (politics); Pattern recognition (psychology); Artificial intelligence; Biological system; Statistics; Mathematical analysis; Physics; Medicine; Biology","score_opus":0.026354833507067188,"score_gpt":0.22318909581957092,"score_spread":0.19683426231250373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3019135420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99311614,0.000012850943,0.0036647324,0.0015143754,0.00046755665,0.00048987183,0.0005530888,0.00017728748,0.0000041041167],"genre_scores_gemma":[0.99912345,0.0000937335,0.0002068257,0.00028207345,0.00017566193,0.000050406707,2.5331497e-7,0.00006219664,0.0000054143115],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99742067,0.00019840048,0.0002775947,0.0012785979,0.0004589925,0.00036575613],"domain_scores_gemma":[0.99817985,0.0001325526,0.00042417593,0.00081567053,0.00014280049,0.00030492546],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019297024,0.00042160423,0.0006699004,0.0003731111,0.00016624766,0.00025463055,0.0004148394,0.0002473643,0.000040369232],"category_scores_gemma":[0.00043419265,0.00044126212,0.00023559525,0.0012033029,0.00007534113,0.00022003833,0.0007993837,0.0006099588,0.000011654407],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033264885,0.00009089199,0.010915233,0.00029263907,0.00012826693,0.000036553727,0.000015597436,0.00019018991,0.9881566,0.00012202205,0.000012552472,0.0000061530122],"study_design_scores_gemma":[0.00013887357,0.000035374804,0.51081747,0.00007633428,0.0002057223,1.1626499e-8,0.0000012978861,0.002774232,0.4855596,0.0000012869374,0.00007386064,0.0003159139],"about_ca_topic_score_codex":0.00003405525,"about_ca_topic_score_gemma":0.000005233623,"teacher_disagreement_score":0.50259703,"about_ca_system_score_codex":0.00012001406,"about_ca_system_score_gemma":0.00007787082,"threshold_uncertainty_score":0.9998039},"labels":[],"label_agreement":null},{"id":"W3019457260","doi":"10.1016/j.tins.2020.04.008","title":"Transitions in Brain Evolution: Space, Time and Entropy","year":2020,"lang":"en","type":"review","venue":"Trends in Neurosciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Perimeter Institute","funders":"Biotechnology and Biological Sciences Research Council; Silicon Valley Community Foundation; John Templeton Foundation; Templeton World Charity Foundation; Wellcome Trust; Foundational Questions Institute","keywords":"Psychology; Neuroscience; Statistical physics; Cognitive psychology; Cognitive science; Physics","score_opus":0.050757639949986874,"score_gpt":0.3165436477711654,"score_spread":0.2657860078211785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3019457260","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001016028,0.98029155,0.000038354192,0.009940421,0.0027219818,0.0009261067,0.00037308995,0.00024156834,0.004450912],"genre_scores_gemma":[0.0024079147,0.99412763,0.000029036042,0.00050054066,0.0001047871,0.000055390385,0.00001403835,0.000033393346,0.00272729],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970566,0.00048428957,0.00050796574,0.0011561867,0.00036330064,0.00043166938],"domain_scores_gemma":[0.99908465,0.00038801838,0.00017212954,0.00021761938,0.0000056436506,0.00013193359],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021316246,0.00036626344,0.0008478674,0.0009896206,0.00014635539,0.00014943951,0.00043371448,0.00013674244,0.00007434248],"category_scores_gemma":[0.00036929053,0.00030304427,0.0001670072,0.00382988,0.00040335165,0.00030574013,0.00010387137,0.0005499313,0.000043218737],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012038861,0.00017157149,0.000018634646,0.0006081721,0.0000015764845,0.00046417172,0.00011618184,0.000037886603,0.0037451407,0.008245668,0.0006668688,0.9859121],"study_design_scores_gemma":[0.00031394933,0.00029878435,0.00020956303,0.0010630876,0.000036045545,0.00026577152,0.000008679712,0.008679631,0.000014921922,0.00048355127,0.9880798,0.0005462063],"about_ca_topic_score_codex":0.0000144067435,"about_ca_topic_score_gemma":0.00005577858,"teacher_disagreement_score":0.9874129,"about_ca_system_score_codex":0.000091839705,"about_ca_system_score_gemma":0.00010109759,"threshold_uncertainty_score":0.9999422},"labels":[],"label_agreement":null},{"id":"W3020684106","doi":"10.3389/fnins.2020.00283","title":"Human Cerebrospinal Fluid Induces Neuronal Excitability Changes in Resected Human Neocortical and Hippocampal Brain Slices","year":2020,"lang":"en","type":"article","venue":"Frontiers in Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Medizinischen Fakultät, Eberhard Karls Universität Tübingen; Ministry of Rural Affairs; Bundesministerium für Bildung und Forschung; Eberhard Karls Universität Tübingen; Deutsche Forschungsgemeinschaft","keywords":"Hippocampal formation; Electrophysiology; Slice preparation; Neuroscience; Human brain; Cerebrospinal fluid; Multielectrode array; In vivo; Ex vivo; Neocortex; Hippocampus; Premovement neuronal activity; Microelectrode; Biology; Chemistry; Electrode","score_opus":0.04831928601868509,"score_gpt":0.2854873584390323,"score_spread":0.23716807242034718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3020684106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99079376,0.000018188633,0.0001477652,0.007423424,0.00083926483,0.00045007645,0.000015508162,0.00009476469,0.00021722434],"genre_scores_gemma":[0.99259037,0.000015966649,0.00012699168,0.0070411838,0.00011056421,0.000033310578,0.000002071623,0.000022504182,0.000057052497],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9964242,0.00044113773,0.0004284495,0.0014554017,0.00056969153,0.00068112375],"domain_scores_gemma":[0.99915594,0.00013088508,0.0001224772,0.00027972017,0.000022105562,0.00028884676],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000370782,0.00028610506,0.00034624443,0.00028769067,0.0003758533,0.00021769063,0.0006569633,0.00010733226,0.000017445176],"category_scores_gemma":[0.0017624069,0.00028087033,0.000044944623,0.0014857728,0.0009087711,0.0005297148,0.0003309117,0.0006569045,0.0000020149544],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059195096,0.0000918849,0.06224205,0.000032460903,2.8084497e-7,0.00006383053,0.00026278145,0.000043805758,0.9350755,0.0008429264,0.00035782703,0.0009274086],"study_design_scores_gemma":[0.00087491766,0.0012318988,0.94665164,0.000030190538,0.0000037022603,0.000020833038,0.00011841381,0.022376852,0.025195008,0.0023732164,0.0006993016,0.00042399974],"about_ca_topic_score_codex":0.000049151986,"about_ca_topic_score_gemma":0.0001638777,"teacher_disagreement_score":0.9098805,"about_ca_system_score_codex":0.00006281532,"about_ca_system_score_gemma":0.000046214034,"threshold_uncertainty_score":0.99996436},"labels":[],"label_agreement":null},{"id":"W3020768273","doi":"10.1007/s00429-020-02072-z","title":"Spatiotemporal dynamics of auditory information processing in the insular cortex: an intracranial EEG study using an oddball paradigm","year":2020,"lang":"en","type":"article","venue":"Brain Structure and Function","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"N100; Insula; Electroencephalography; Psychology; Neuroimaging; Neuroscience; Oddball paradigm; Magnetoencephalography; Audiology; Event-related potential; Medicine","score_opus":0.02336275109015455,"score_gpt":0.2503846150733047,"score_spread":0.2270218639831501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3020768273","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935287,0.0000061038513,0.005073261,0.00046384294,0.0003633146,0.00048173117,0.000028978291,0.00003400238,0.000020047575],"genre_scores_gemma":[0.9980134,0.0000021070655,0.00006990559,0.0016176599,0.00021813464,0.000003646826,0.00006432406,0.000009933359,9.135238e-7],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99875134,0.00022560766,0.00032421094,0.0002629273,0.0002964273,0.00013951407],"domain_scores_gemma":[0.9994982,0.000039461338,0.00022557919,0.00014272034,0.0000357476,0.0000582831],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019501687,0.00014661222,0.00015394688,0.00009374985,0.0001870746,0.00013301636,0.00013109705,0.000089594156,0.0000073981114],"category_scores_gemma":[0.00011742799,0.00011155886,0.000021219048,0.00039815827,0.000065226974,0.0015260322,0.000024981127,0.00024385388,3.819112e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024502939,0.0007427471,0.026199598,0.000380793,0.000019088673,0.000056823337,0.03258851,0.010915003,0.39188525,0.005597458,0.00006889219,0.52909553],"study_design_scores_gemma":[0.0009725746,0.0016552004,0.35102683,0.000011430251,0.000030456482,0.00004168842,0.0026532284,0.6408338,0.0001791295,0.0021994587,0.00019484875,0.00020138056],"about_ca_topic_score_codex":0.00012170506,"about_ca_topic_score_gemma":0.00023888377,"teacher_disagreement_score":0.62991875,"about_ca_system_score_codex":0.00003215682,"about_ca_system_score_gemma":0.000045852208,"threshold_uncertainty_score":0.4549238},"labels":[],"label_agreement":null},{"id":"W3020867055","doi":"10.1101/2020.05.07.083436","title":"CellExplorer: a graphical user interface and a standardized pipeline for visualizing and characterizing single neurons","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"H. Lundbeck A/S; Lundbeckfonden","keywords":"Pipeline (software); Computer science; Graphical user interface; Interface (matter); Set (abstract data type); Process (computing); Ground truth; Software; Human–computer interaction; Artificial intelligence; Operating system; Programming language","score_opus":0.037297731273320346,"score_gpt":0.25740163060554355,"score_spread":0.2201038993322232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3020867055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9712186,0.00020420413,0.023113122,0.0022485615,0.0010764082,0.0011728755,0.00055407046,0.00041029003,0.0000018670751],"genre_scores_gemma":[0.9962235,0.0004251037,0.0013922857,0.0013363848,0.00030488378,0.00015844831,4.434135e-7,0.00015471951,0.0000042044057],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99688435,0.00018370524,0.0005270793,0.0015763873,0.00031248204,0.0005160231],"domain_scores_gemma":[0.9983174,0.00032188147,0.00035861248,0.00049269776,0.00015600816,0.00035336762],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034081214,0.0005596421,0.00065351004,0.00022006493,0.00030413514,0.0006025191,0.00028917036,0.00030093448,0.0000061483574],"category_scores_gemma":[0.001011351,0.0005744012,0.00014218054,0.00034020067,0.0002129271,0.00024481004,0.0008042288,0.00071873545,0.0000033757642],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022334715,0.0000723002,0.00019457816,0.0003744887,0.000017697577,0.000027183358,0.000021863432,0.0000058436262,0.99827194,0.0006662594,0.00011513126,0.000009345768],"study_design_scores_gemma":[0.0013283862,0.0003129515,0.0026410397,0.00037977748,0.00012512793,1.9061096e-7,0.000005504291,0.021432705,0.9566316,0.000025504109,0.016216248,0.00090095185],"about_ca_topic_score_codex":0.0000060738325,"about_ca_topic_score_gemma":9.576145e-7,"teacher_disagreement_score":0.04164035,"about_ca_system_score_codex":0.000073126736,"about_ca_system_score_gemma":0.00010503681,"threshold_uncertainty_score":0.99967074},"labels":[],"label_agreement":null},{"id":"W3021670719","doi":"10.1016/j.bpj.2016.11.2164","title":"Automated Characterization of Dynamic Parameters of Intracellular Calcium Signals","year":2017,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Duty cycle; Amplitude; Time constant; Biological system; Algorithm; Exponential function; SIGNAL (programming language); Computer science; Transient (computer programming); Signal processing; Exponential decay; Transient response; Representation (politics); Mathematics; Physics; Voltage; Engineering; Mathematical analysis; Digital signal processing; Biology","score_opus":0.0309418353885904,"score_gpt":0.28132887182355315,"score_spread":0.25038703643496274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021670719","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971307,7.5778564e-7,0.0019615893,0.0002908745,0.0004441366,0.00007748781,0.000025703284,0.000026457708,0.000042311083],"genre_scores_gemma":[0.99971515,0.000016453021,0.00010087928,0.000046911373,0.000052726165,9.873706e-7,0.0000032713624,0.00001012542,0.000053495958],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990715,0.00007458931,0.00030153088,0.00014767516,0.00025723665,0.00014746063],"domain_scores_gemma":[0.9989017,0.000055610057,0.0006799532,0.00022227998,0.00006885022,0.00007157516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010615027,0.0000931703,0.00020081206,0.00006144541,0.00018814282,0.00008009546,0.00029517282,0.000048866936,0.000015905089],"category_scores_gemma":[0.00022058659,0.000074522395,0.00011573948,0.000072645955,0.00019348558,0.00026443176,0.000049441842,0.00015060314,0.000007989074],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004561818,0.00010519254,0.00006022209,0.000013666523,0.000006128411,0.000013220037,0.000017759934,0.000022872866,0.995715,0.00022054838,0.000005405142,0.003774315],"study_design_scores_gemma":[0.0002000881,0.00016113704,0.018189214,0.000031903168,0.000012429193,0.00002301441,0.0000023173443,0.13220643,0.8489389,0.00015513103,0.0000108866,0.000068599045],"about_ca_topic_score_codex":0.000005249552,"about_ca_topic_score_gemma":1.506117e-7,"teacher_disagreement_score":0.14677618,"about_ca_system_score_codex":0.000019502388,"about_ca_system_score_gemma":0.000022958016,"threshold_uncertainty_score":0.3038935},"labels":[],"label_agreement":null},{"id":"W3022258538","doi":"10.1016/j.neuroimage.2020.116910","title":"Concurrent electrophysiological and hemodynamic measurements of evoked neural oscillations in human visual cortex using sparsely interleaved fast fMRI and EEG","year":2020,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Science and Technology, Taiwan; National Health Research Institutes; Academy of Finland","keywords":"EEG-fMRI; Electroencephalography; Artifact (error); Functional magnetic resonance imaging; Artificial intelligence; Neuroimaging; Computer science; Pattern recognition (psychology); Neuroscience; Psychology","score_opus":0.12122559764230635,"score_gpt":0.3091614420700245,"score_spread":0.18793584442771816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022258538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99908406,0.000013080312,0.0001960513,0.00019738474,0.00010979321,0.00026343905,0.000011632245,0.000034591227,0.00008994941],"genre_scores_gemma":[0.9994317,0.000011951441,0.000023229115,0.00048039298,0.000022614799,0.0000027819813,0.0000047142303,0.00001554045,0.000007040069],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99857306,0.00018116078,0.00029518065,0.00051254843,0.00020946492,0.00022855838],"domain_scores_gemma":[0.9995861,0.0000731996,0.00012595499,0.00008821435,0.000029455034,0.00009708556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000056723657,0.00016733423,0.00024391602,0.0000778332,0.00011043123,0.00004971613,0.00009893416,0.000040976098,0.000010310926],"category_scores_gemma":[0.00018820181,0.00015393093,0.000039748145,0.00025028977,0.00018845276,0.00015803496,0.00012613634,0.00024007192,0.0000011159633],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004699795,0.000053898086,0.003499418,0.000021605963,0.0000015411613,0.000014802579,0.000054093063,0.00014598768,0.9950356,0.00007795707,0.0000039570314,0.0010441662],"study_design_scores_gemma":[0.0011235252,0.0012634795,0.26916945,0.000022047985,0.00001752096,0.0000295294,0.000021275997,0.67941487,0.048584167,0.0001159775,0.000008906009,0.00022925934],"about_ca_topic_score_codex":0.000017075266,"about_ca_topic_score_gemma":0.000008920074,"teacher_disagreement_score":0.9464514,"about_ca_system_score_codex":0.000022837983,"about_ca_system_score_gemma":0.000012984457,"threshold_uncertainty_score":0.62771213},"labels":[],"label_agreement":null},{"id":"W3022812690","doi":"10.26451/abc.07.02.08.2020","title":"Can nonhuman primate signals be arbitrarily meaningful like human words? An affective approach","year":2020,"lang":"en","type":"article","venue":"Animal Behavior and Cognition","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Nonhuman primate; Primate; Psychology; Communication; Cognitive psychology; Neuroscience; Cognitive science; Biology; Evolutionary biology","score_opus":0.06724034731457822,"score_gpt":0.2929828699315622,"score_spread":0.22574252261698396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022812690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964069,0.0000063208163,0.00009280403,0.00026473013,0.00005742213,0.0005050577,0.000092424925,0.00017298569,0.0024013321],"genre_scores_gemma":[0.9960866,0.000005326037,0.000055734334,0.0034473757,0.00011980084,0.00009354736,0.00012951106,0.000031187323,0.000030891264],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99852556,0.00011957089,0.00018931416,0.000641147,0.00025699416,0.00026741184],"domain_scores_gemma":[0.999513,0.00003581309,0.00009692112,0.00010057346,0.000048871396,0.00020484868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008423457,0.00021193041,0.00018812483,0.00006165192,0.00041272308,0.00018471615,0.000110439265,0.00008586052,0.00005664451],"category_scores_gemma":[0.000029291134,0.00020723749,0.000063670865,0.00020146774,0.00010882403,0.00039046918,0.000057070163,0.00025848733,0.000007910019],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011747112,0.00021457195,0.0006659083,0.000020787953,0.000003159322,0.000032979955,0.00065505214,0.0000017122916,0.99521816,0.00110492,0.000027908056,0.0019373983],"study_design_scores_gemma":[0.0038538494,0.011708823,0.1589968,0.00007869663,0.00081320887,0.00024243504,0.0016087838,0.008339853,0.80890954,0.003256809,0.00017909666,0.0020121154],"about_ca_topic_score_codex":0.000045986886,"about_ca_topic_score_gemma":0.000027215248,"teacher_disagreement_score":0.18630861,"about_ca_system_score_codex":0.000020148025,"about_ca_system_score_gemma":0.000014879654,"threshold_uncertainty_score":0.84509},"labels":[],"label_agreement":null},{"id":"W3023322473","doi":"10.1101/2020.05.05.079038","title":"Volitional Control of Individual Neurons in the Human Brain","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Western Hospital; Krembil Foundation; University of Toronto; University Health Network","funders":"National Institutes of Health; Fondation Brain Canada","keywords":"Neuroscience; Neuron; Human brain; Striatum; Psychology; Computer science; Dopamine","score_opus":0.03266506268308376,"score_gpt":0.24309471631488047,"score_spread":0.21042965363179672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023322473","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916989,0.000037529233,0.00048138146,0.005112273,0.00065870007,0.0008116027,0.0010594986,0.00011466331,0.000025446323],"genre_scores_gemma":[0.993657,0.000010555845,0.00006201969,0.005791063,0.00030369463,0.00012050588,6.389788e-7,0.00005261877,0.0000019395031],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99697864,0.0005479601,0.0005396933,0.000850871,0.0007005762,0.0003822871],"domain_scores_gemma":[0.9982062,0.00048879796,0.00039769572,0.0006981529,0.000096939715,0.00011223536],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006423868,0.0003512508,0.00041022978,0.00021187833,0.00015644268,0.00017876725,0.0010838141,0.00023391786,0.00003202493],"category_scores_gemma":[0.000981755,0.00030707067,0.00016327806,0.0005484507,0.00021077665,0.000113180715,0.00034752535,0.0010648068,0.000019114756],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019509818,0.00014053838,0.0018169356,0.00009903261,0.000013427426,0.00006530984,0.000016493412,0.0001124547,0.97286326,0.024353255,0.00049904914,7.099412e-7],"study_design_scores_gemma":[0.0018396055,0.0002828693,0.8081939,0.00022343337,0.00010935719,1.0604811e-7,0.0000062731788,0.0035691492,0.18109308,0.00028288938,0.003486124,0.00091319566],"about_ca_topic_score_codex":0.000022264529,"about_ca_topic_score_gemma":0.0000023570522,"teacher_disagreement_score":0.806377,"about_ca_system_score_codex":0.000060967515,"about_ca_system_score_gemma":0.00022905046,"threshold_uncertainty_score":0.99993813},"labels":[],"label_agreement":null},{"id":"W3023413208","doi":"10.1017/s0140525x03450024","title":"Synchronous dynamics for cognitive coordination: But how?","year":2003,"lang":"en","type":"article","venue":"Behavioral and Brain Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Mental Health; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; VA Pittsburgh Healthcare System; Canada Research Chairs; McGill University; National Alliance for Research on Schizophrenia and Depression; American Psychological Association","keywords":"Mechanism (biology); Cognition; Computer science; Dynamics (music); Cognitive science; Scale (ratio); Sensory processing; Cognitive psychology; Psychology; Sensory system; Neuroscience; Epistemology","score_opus":0.0635924937840819,"score_gpt":0.317367350205956,"score_spread":0.25377485642187414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023413208","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915297,0.000031800017,0.003073046,0.003427966,0.00043041472,0.00038097688,0.00007424118,0.000047248715,0.001004585],"genre_scores_gemma":[0.9965122,0.0000056426757,0.00029974745,0.00061420474,0.00003222699,0.000043566244,0.000005554511,0.0000068816566,0.00247999],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988571,0.00006918676,0.0001114907,0.00046718636,0.00021945627,0.000275605],"domain_scores_gemma":[0.9993313,0.00040270065,0.00007285941,0.000061578925,0.000053827345,0.000077721175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032614276,0.00012478716,0.00011759061,0.00007911514,0.0006564717,0.00025660725,0.00012336262,0.000049094877,0.00001906037],"category_scores_gemma":[0.00046495412,0.00009809102,0.00004668897,0.00032384234,0.00054654,0.00036624298,0.000028235238,0.000066798995,0.0000035442401],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008600807,0.00064927165,0.018401777,0.000059001097,0.000005039167,0.000042111325,0.00039257942,0.000019452515,0.313734,0.45384824,0.0019635118,0.21079902],"study_design_scores_gemma":[0.012025509,0.019788492,0.043717284,0.00038403508,0.00038256127,0.0019365798,0.016560594,0.18066272,0.57708263,0.10341423,0.038189996,0.005855343],"about_ca_topic_score_codex":0.000014735529,"about_ca_topic_score_gemma":0.00004648873,"teacher_disagreement_score":0.350434,"about_ca_system_score_codex":0.000026577212,"about_ca_system_score_gemma":0.000050464692,"threshold_uncertainty_score":0.5049116},"labels":[],"label_agreement":null},{"id":"W3024127143","doi":"10.1016/b978-0-12-809324-5.24181-3","title":"Parallel Coding in the Electrosensory Medulla: Physiological Heterogeneity Facilitates the Processing of Diverse Stimulus Classes","year":2020,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Neuroscience; Stimulus (psychology); Medulla; Coding (social sciences); Perception; Computer science; Biology; Psychology; Cognitive psychology; Anatomy; Mathematics","score_opus":0.06946952048427907,"score_gpt":0.27703836087747713,"score_spread":0.20756884039319806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024127143","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19441397,0.0010468954,0.000046489527,0.002106434,0.0005972904,0.0031420924,0.00022643752,0.00018577682,0.7982346],"genre_scores_gemma":[0.9475674,0.00019336843,0.000027107859,0.0021741313,0.00012451147,0.000036079964,0.000008391677,0.0000309446,0.04983807],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99811834,0.00021379038,0.00039992592,0.00056486257,0.000420988,0.00028209251],"domain_scores_gemma":[0.9988258,0.00048618868,0.00028770597,0.00031415172,0.00004218315,0.00004398432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024023328,0.0003319974,0.0004157769,0.000052595693,0.0002446016,0.000063052226,0.00056114106,0.0001552407,0.000014476868],"category_scores_gemma":[0.00020640132,0.00017743939,0.00021435393,0.000042839845,0.00044782404,0.00004948057,0.00017359208,0.0007227125,0.00001654032],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031211763,0.00006810513,0.000036666177,0.00039578817,0.000044735505,0.00019003305,0.0014305888,0.00031431852,0.32591292,0.016902588,0.00015654381,0.6542356],"study_design_scores_gemma":[0.0046366462,0.0048565017,0.0053809076,0.0023596033,0.0008986063,0.000494423,0.0013623758,0.034510583,0.059457917,0.19697535,0.6835872,0.0054798727],"about_ca_topic_score_codex":6.726222e-7,"about_ca_topic_score_gemma":0.000017120474,"teacher_disagreement_score":0.75315344,"about_ca_system_score_codex":0.000041940642,"about_ca_system_score_gemma":0.000056787416,"threshold_uncertainty_score":0.7235768},"labels":[],"label_agreement":null},{"id":"W3024502670","doi":"10.3389/fncir.2020.00019","title":"A Probabilistic Framework for Decoding Behavior From in vivo Calcium Imaging Data","year":2020,"lang":"en","type":"article","venue":"Frontiers in Neural Circuits","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada; McGill University","keywords":"Decoding methods; Probabilistic logic; Computer science; Calcium imaging; Premovement neuronal activity; Neuroscience; Bayesian inference; Bayesian probability; Artificial intelligence; Machine learning; Calcium; Psychology; Algorithm; Chemistry","score_opus":0.10646544395048094,"score_gpt":0.31101581481950347,"score_spread":0.20455037086902253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024502670","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90451056,0.0001834174,0.08605001,0.0026375053,0.003937983,0.0016257035,0.00080120546,0.0001463458,0.00010724375],"genre_scores_gemma":[0.9944449,0.000009406825,0.002343897,0.0027632434,0.00022429539,0.0001135866,0.000044506607,0.000040860705,0.000015278047],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977553,0.000106610474,0.00039307456,0.0010452156,0.00022894047,0.00047085804],"domain_scores_gemma":[0.99886906,0.00040770593,0.00011266428,0.00045892474,0.00001744468,0.00013419331],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013722602,0.00021378933,0.00030851777,0.00012360273,0.00009518801,0.00011688319,0.00077833445,0.0000861242,0.00002250515],"category_scores_gemma":[0.0025238714,0.00022242057,0.00005786166,0.00053171074,0.00007491507,0.00049544097,0.00021523912,0.0004174384,0.0000036893357],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031159102,0.00038743299,0.3300163,0.00021908441,0.00000965303,0.0006680911,0.0013941912,0.0014048364,0.50710285,0.0021885198,0.011295548,0.14500189],"study_design_scores_gemma":[0.0011930605,0.00008692696,0.01370024,0.00009904229,0.00003628456,0.000009865793,0.00015936546,0.96396714,0.007424677,0.01176676,0.0010394056,0.0005172464],"about_ca_topic_score_codex":0.00004728626,"about_ca_topic_score_gemma":0.000026092755,"teacher_disagreement_score":0.96256226,"about_ca_system_score_codex":0.00009953514,"about_ca_system_score_gemma":0.000036115223,"threshold_uncertainty_score":0.9070047},"labels":[],"label_agreement":null},{"id":"W3024533393","doi":"10.7554/elife.55964","title":"Automated task training and longitudinal monitoring of mouse mesoscale cortical circuits using home cages","year":2020,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Vancouver Coastal Health","funders":"Canadian Institutes of Health Research; Fondation Leducq; National Institutes of Health; Michael Smith Health Research BC","keywords":"Licking; Neuroscience; Task (project management); Cortex (anatomy); Motor cortex; Psychology; Computer science; Biology","score_opus":0.10742268806879873,"score_gpt":0.2989080793782116,"score_spread":0.1914853913094129,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024533393","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99892724,0.000031909454,0.00036325096,0.00015993245,0.00020583403,0.00007670457,0.000014828089,0.00017903822,0.00004126706],"genre_scores_gemma":[0.99950916,0.000020756286,0.0001576967,0.0001620711,0.000113760965,0.0000014373695,8.1142986e-7,0.000014902997,0.0000193808],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99908847,0.00005253998,0.00018864204,0.00027540172,0.0002088856,0.00018603868],"domain_scores_gemma":[0.99958545,0.000118224554,0.00006791643,0.00007738083,0.00002185689,0.00012917515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007514212,0.0000968662,0.00016949749,0.000035894016,0.000120555924,0.000037314167,0.00006543863,0.0000405001,0.000007501674],"category_scores_gemma":[0.00028840144,0.000092094764,0.00003137109,0.0001495757,0.00008511852,0.00012945956,0.00005466844,0.00013405237,0.000004691718],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000080831505,0.000014130431,0.013816826,0.000021810516,0.0000032700482,0.000022362541,0.00038793357,0.00026779488,0.98479086,0.00007785752,0.000016178179,0.00057289173],"study_design_scores_gemma":[0.0005285153,0.00022709949,0.077323005,0.000038494614,0.000029084358,0.00006745018,0.00022489435,0.33945015,0.58178234,0.000016618731,0.00006681838,0.00024551604],"about_ca_topic_score_codex":0.000008023488,"about_ca_topic_score_gemma":3.7396939e-7,"teacher_disagreement_score":0.4030085,"about_ca_system_score_codex":0.00001416828,"about_ca_system_score_gemma":0.000021695216,"threshold_uncertainty_score":0.37555155},"labels":[],"label_agreement":null},{"id":"W3024575072","doi":"10.7554/elife.56053.sa1","title":"Decision letter: Population coupling predicts the plasticity of stimulus responses in cortical circuits","year":2020,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Neuroscience; Stimulus (psychology); Population; Neuron; Sensory system; Neuroplasticity; Perception; Biological neural network; Plasticity; Visual cortex; Psychology; Cognitive psychology; Physics","score_opus":0.06940700305260789,"score_gpt":0.3187992754083736,"score_spread":0.24939227235576572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024575072","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8070563,0.0022394864,0.024604063,0.137177,0.01873352,0.006048756,0.0014621067,0.0004256337,0.0022531454],"genre_scores_gemma":[0.9810034,0.00120121,0.00004167004,0.012838213,0.0002830462,0.000026022013,0.00009631702,0.000036027508,0.0044741184],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974393,0.0002008614,0.00072325295,0.00057137967,0.0008337202,0.00023143129],"domain_scores_gemma":[0.99517715,0.004135331,0.00028426453,0.00026411138,0.000069016445,0.00007010413],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.000419876,0.00023270275,0.0004829326,0.00011725428,0.000103009974,0.000039958035,0.00035713636,0.0001601251,0.000117698015],"category_scores_gemma":[0.011999461,0.00015213412,0.00011864295,0.00049638405,0.00008411666,0.00008392853,0.00016758635,0.00068613293,0.000021771531],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012528037,0.00047790573,0.0023449333,0.0048939805,0.000029861245,0.000291155,0.00009864889,0.01831518,0.14280574,0.0026146406,0.7861018,0.040773332],"study_design_scores_gemma":[0.0013587527,0.0008519115,0.05808041,0.00914009,0.0002787574,0.00006776954,0.000006972945,0.7748196,0.0041392227,0.0011433666,0.14914486,0.00096825056],"about_ca_topic_score_codex":0.000103128295,"about_ca_topic_score_gemma":0.00014786956,"teacher_disagreement_score":0.7565045,"about_ca_system_score_codex":0.00007110613,"about_ca_system_score_gemma":0.000073011535,"threshold_uncertainty_score":0.9963229},"labels":[],"label_agreement":null},{"id":"W3025595575","doi":"10.1523/eneuro.0096-20.2020","title":"Real-Time Selective Markerless Tracking of Forepaws of Head Fixed Mice Using Deep Neural Networks","year":2020,"lang":"en","type":"article","venue":"eNeuro","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Health Canada; Canadian Open Neuroscience Platform; Fondation Brain Canada; Fondation Leducq; Government of Canada","keywords":"Computer science; Latency (audio); Tracking (education); Movement (music); Artificial neural network; Brain–computer interface; Real-time computing; Artificial intelligence; Computer hardware; Neuroscience; Psychology","score_opus":0.039488973475687125,"score_gpt":0.2669055191260716,"score_spread":0.22741654565038444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025595575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99673486,0.0000090429085,0.0019229862,0.0001767461,0.00024852031,0.00019908385,0.00001126172,0.000055743465,0.00064177404],"genre_scores_gemma":[0.99909884,0.0000140066595,0.00021057893,0.0005105279,0.0000976639,0.0000022067918,0.0000029135103,0.000030612693,0.000032635417],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986137,0.00019858495,0.0003315071,0.00039501992,0.00021439038,0.00024677676],"domain_scores_gemma":[0.9990372,0.00041117545,0.00025555896,0.00015291478,0.00006306756,0.00008008624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000091433154,0.00015029711,0.00026638483,0.00005226448,0.00007887006,0.000020030753,0.00019969315,0.000056959372,0.000022683604],"category_scores_gemma":[0.00039504844,0.00014697957,0.00011265056,0.0005262142,0.000075854194,0.0001676198,0.00007973261,0.00018236563,0.000001658111],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020421564,0.000031761658,0.0008925216,0.000028665923,0.000004066773,0.000018032782,0.00013220108,0.0382525,0.9578624,0.00010102399,0.000032509604,0.0024401133],"study_design_scores_gemma":[0.00023740374,0.00017051361,0.0033688974,0.000012151554,0.000016388234,0.000019242303,0.000009145068,0.8160276,0.17996721,0.00004310698,0.000020855965,0.00010750949],"about_ca_topic_score_codex":0.00004765123,"about_ca_topic_score_gemma":0.0000069903476,"teacher_disagreement_score":0.77789515,"about_ca_system_score_codex":0.000018410476,"about_ca_system_score_gemma":0.000016939612,"threshold_uncertainty_score":0.5993653},"labels":[],"label_agreement":null},{"id":"W3025815642","doi":"","title":"Noise Shaping by Interval Correlations Increases Information Transfer","year":2004,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Interval (graph theory); Noise (video); Statistical physics; Point process; Information transfer; Spectral density; SIGNAL (programming language); Mathematics; Transmission (telecommunications); Information transmission; Point (geometry); Power (physics); Physics; Spike (software development); Computer science; Statistics; Telecommunications; Artificial intelligence; Combinatorics; Quantum mechanics","score_opus":0.024687785194337473,"score_gpt":0.2270215546367517,"score_spread":0.2023337694424142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025815642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98462707,0.000013149424,0.0001127038,0.00017905471,0.00060901925,0.00041732716,0.0009839976,0.0003409052,0.012716746],"genre_scores_gemma":[0.9963235,0.000043676577,0.00013777369,0.0030268768,0.000022194426,0.000046364763,0.00010534876,0.000039577786,0.00025467272],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978085,0.00016047536,0.0005802517,0.00047291289,0.00051908894,0.0004587578],"domain_scores_gemma":[0.99897814,0.00021987972,0.00011969452,0.000330527,0.000108934844,0.00024280055],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030734643,0.00031618986,0.000239157,0.0002360064,0.0010689952,0.00017956902,0.0003570458,0.00018191584,0.00013739053],"category_scores_gemma":[0.0010576647,0.00031688827,0.00017894317,0.0005979653,0.00009666331,0.0038951507,0.0001050103,0.00063339504,0.00057772495],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011546047,0.0002591714,0.000059771075,0.000041363335,0.000015024809,0.000016156779,0.0000103546845,0.0018143838,0.7730137,0.1829445,0.0000128007805,0.041697275],"study_design_scores_gemma":[0.00487653,0.0007335282,0.0023729745,0.0003363275,0.00012640133,0.00031574507,0.00012664734,0.0037301823,0.8456131,0.04764194,0.09240002,0.0017266002],"about_ca_topic_score_codex":0.0003024658,"about_ca_topic_score_gemma":0.000083607396,"teacher_disagreement_score":0.13530256,"about_ca_system_score_codex":0.00038906117,"about_ca_system_score_gemma":0.000024504005,"threshold_uncertainty_score":0.9999283},"labels":[],"label_agreement":null},{"id":"W3026915299","doi":"10.1016/j.heares.2020.107994","title":"A frequency-band coupling model of EEG signals can capture features from an input audio stimulus","year":2020,"lang":"en","type":"article","venue":"Hearing Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electroencephalography; Stimulus (psychology); Speech recognition; Frequency band; Computer science; Pattern recognition (psychology); Artificial neural network; Artificial intelligence; Psychology; Neuroscience; Bandwidth (computing); Telecommunications","score_opus":0.16617541478279063,"score_gpt":0.36540461212326664,"score_spread":0.199229197340476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3026915299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99514365,0.00007268788,0.00055218395,0.0031189558,0.000071337854,0.0002665746,0.00010207492,0.000064932705,0.0006076216],"genre_scores_gemma":[0.9986113,0.00002857678,0.0002643372,0.00071068323,0.000104892366,0.000012222445,0.000010590331,0.000029494957,0.00022791878],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99775904,0.00013401204,0.00021225738,0.00059739576,0.00084483036,0.0004524854],"domain_scores_gemma":[0.9988005,0.0004251894,0.000050355073,0.0003063331,0.00014829173,0.00026928753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041674435,0.0001325784,0.00021331506,0.00012222971,0.000270064,0.00012751058,0.00037628732,0.000112474765,0.000044719283],"category_scores_gemma":[0.0009859536,0.00011851317,0.00005324621,0.00049567234,0.00015863062,0.0001610711,0.00014602099,0.0008324534,0.000011414031],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006829227,0.000034850327,0.0011145162,0.000036684694,0.0000036808133,0.000027437332,0.00081009464,0.0628911,0.93403655,0.00045769205,0.0002522791,0.00026680547],"study_design_scores_gemma":[0.0002777676,0.00019095662,0.0026246496,0.000046933066,0.0000044297085,0.0000025213546,0.000082809725,0.6914954,0.30147055,0.0036522932,0.000015889362,0.00013582052],"about_ca_topic_score_codex":0.002398024,"about_ca_topic_score_gemma":0.00020778182,"teacher_disagreement_score":0.63256603,"about_ca_system_score_codex":0.00006185296,"about_ca_system_score_gemma":0.00019429874,"threshold_uncertainty_score":0.4832827},"labels":[],"label_agreement":null},{"id":"W3027009272","doi":"10.31234/osf.io/p9dgn","title":"Feasibility of Unconscious Instrumental Conditioning: A Registered Replication","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Dr Mortimer and Theresa Sackler Foundation","keywords":"Unconscious mind; Psychology; Replicate; Cognitive psychology; Conditioning; Computer science","score_opus":0.1404993480148487,"score_gpt":0.33550500469723094,"score_spread":0.19500565668238223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3027009272","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9820547,0.000004916188,0.0011000521,0.0031687852,0.00069224386,0.0008720984,0.00021799159,0.00017549288,0.011713704],"genre_scores_gemma":[0.9979908,0.000013732135,0.0003052437,0.0009218469,0.0000488961,0.000032825872,0.000118872296,0.0000148401305,0.00055293035],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980069,0.00011257375,0.0004395455,0.0010463521,0.0002697373,0.00012489581],"domain_scores_gemma":[0.9982562,0.00009554854,0.00048329213,0.0010362495,0.00005350435,0.00007520941],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014712503,0.00017105791,0.00026167967,0.00005888914,0.000069421745,0.000056158926,0.00030572314,0.00013748305,0.000107764135],"category_scores_gemma":[0.0009167484,0.00016123865,0.00014110746,0.00015012114,0.00016696645,0.000075831435,0.00047974184,0.00033511696,0.000020200285],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014712899,0.0001736404,0.0039249216,0.00030092182,0.00001085405,0.000008633966,0.00011571619,0.00009332133,0.97319967,0.01775223,0.0018647983,0.0024081646],"study_design_scores_gemma":[0.0013630748,0.00043269052,0.017920088,0.00018428126,0.000067029076,0.00007108599,0.00009374281,0.030744396,0.81157327,0.13585573,0.00094668363,0.000747933],"about_ca_topic_score_codex":0.00006579636,"about_ca_topic_score_gemma":0.00002121948,"teacher_disagreement_score":0.16162641,"about_ca_system_score_codex":0.000109548,"about_ca_system_score_gemma":0.00010028076,"threshold_uncertainty_score":0.6575122},"labels":[],"label_agreement":null},{"id":"W3027105693","doi":"10.1186/s13041-020-00617-1","title":"A two-compartment model of synaptic computation and plasticity","year":2020,"lang":"en","type":"review","venue":"Molecular Brain","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"Clarendon Fund; University of Oxford; Medical Research Council; Royal Commission for the Exhibition of 1851","keywords":"Neuroscience; Psychopharmacology; Compartment (ship); Synaptic plasticity; Neuroplasticity; Plasticity; Computation; Psychology; Computer science; Cognitive science; Medicine; Psychiatry; Physics; Internal medicine; History","score_opus":0.058016270897187895,"score_gpt":0.31454427156019255,"score_spread":0.25652800066300463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3027105693","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029917767,0.8486581,0.14536455,0.0003727522,0.00020832865,0.0016029878,0.00020073574,0.000107891894,0.0004928711],"genre_scores_gemma":[0.039608195,0.95670295,0.0019103914,0.0013966736,0.00004934661,0.000087297485,0.00007540915,0.000110492736,0.000059230348],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99857134,0.00021168514,0.00035696596,0.0004780492,0.00022848872,0.0001534722],"domain_scores_gemma":[0.9992363,0.00030902214,0.00024547285,0.00011023642,0.000015605194,0.00008334981],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007204126,0.00024588002,0.0007348279,0.000094456016,0.000044925982,0.000033251028,0.00013091366,0.00007587655,0.0000024691146],"category_scores_gemma":[0.00028598722,0.00021509654,0.00017282233,0.00021262479,0.0000740186,0.00003356989,0.000118564196,0.00019477772,0.0000105421395],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021748987,0.00014643284,2.6634822e-7,0.010885295,0.00010976087,0.00020259562,0.000072184484,0.018660184,0.10463202,0.024155522,0.00021760253,0.84089637],"study_design_scores_gemma":[0.00040023946,0.00018137823,3.0587867e-7,0.0016190506,0.00032997422,0.00007929177,0.0000020800198,0.97236204,0.0017599668,0.0020554732,0.020782242,0.0004279579],"about_ca_topic_score_codex":0.0000023770403,"about_ca_topic_score_gemma":6.8960844e-7,"teacher_disagreement_score":0.95370185,"about_ca_system_score_codex":0.00003922441,"about_ca_system_score_gemma":0.00007378457,"threshold_uncertainty_score":0.87713826},"labels":[],"label_agreement":null},{"id":"W3027368677","doi":"10.1101/2020.05.22.109413","title":"Excitatory-Inhibitory Balance within EEG Microstates and Resting-state fMRI Networks: Assessed via Simultaneous PET-MR-EEG Imaging","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Resting state fMRI; Electroencephalography; Neuroscience; Inhibitory postsynaptic potential; Functional magnetic resonance imaging; Glutamate receptor; EEG-fMRI; Excitatory postsynaptic potential; Premovement neuronal activity; Metabotropic glutamate receptor 5; Psychology; Biology; Receptor; Biochemistry; Metabotropic glutamate receptor","score_opus":0.011416840203096149,"score_gpt":0.21668490931821074,"score_spread":0.20526806911511458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3027368677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9856266,0.00078261347,0.0066242255,0.00076357956,0.0036925264,0.0011159398,0.000272816,0.0011118286,0.000009876135],"genre_scores_gemma":[0.9948953,0.0003804633,0.0019228727,0.001924483,0.0004613185,0.00010031044,0.000001236117,0.00029640374,0.00001762663],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9941825,0.00046523745,0.0010097566,0.0026321488,0.0006528266,0.0010574787],"domain_scores_gemma":[0.9958344,0.0009651916,0.0010582621,0.0011646842,0.00038478826,0.000592686],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00066776195,0.0010754238,0.0008904121,0.00027188077,0.00057597674,0.0009298464,0.0007949287,0.00026825993,0.0000106328025],"category_scores_gemma":[0.0019560307,0.0011647476,0.00018171547,0.0007912616,0.0005653942,0.00043463992,0.0010218206,0.0018954723,0.000044512064],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000114193084,0.000083930194,0.0027147015,0.00041595494,0.00003048181,0.0016753346,0.000028070126,0.007691182,0.9868185,0.000097821765,0.00032204168,0.000007801461],"study_design_scores_gemma":[0.0011278146,0.00014423553,0.012377859,0.00091450615,0.00012353752,0.0000020390096,0.000010251001,0.67433685,0.3072447,0.00006370989,0.0013999698,0.0022545613],"about_ca_topic_score_codex":0.0000612527,"about_ca_topic_score_gemma":0.0000054623997,"teacher_disagreement_score":0.67957383,"about_ca_system_score_codex":0.00028621062,"about_ca_system_score_gemma":0.00040291506,"threshold_uncertainty_score":0.99908024},"labels":[],"label_agreement":null},{"id":"W3027561563","doi":"10.1101/2020.05.22.111021","title":"Spatiotemporal structure of sensory-evoked and spontaneous activity revealed by mesoscale imaging in anesthetized and awake mice","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sensory system; Stimulus (psychology); Evoked activity; Neuroscience; Stimulation; Sensory stimulation therapy; Electrophysiology; Premovement neuronal activity; Brain activity and meditation; Psychology; Evoked potential; Electroencephalography; Cognitive psychology","score_opus":0.011350218274415366,"score_gpt":0.21111255225578038,"score_spread":0.199762333981365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3027561563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972143,0.00019931313,0.000071196344,0.0008541102,0.00030744958,0.0006689197,0.0005643104,0.00011740845,0.0000029797832],"genre_scores_gemma":[0.9989233,0.00023044166,0.0004217982,0.00027126272,0.000063737614,0.000012127876,4.457192e-7,0.00007171777,0.000005172015],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99741125,0.00032755273,0.00041007166,0.001190413,0.00031463476,0.00034605872],"domain_scores_gemma":[0.9986045,0.00017194662,0.00047030207,0.00046834527,0.000090262474,0.00019466273],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020751054,0.0004563338,0.00063924404,0.0001820952,0.00009888988,0.0001303052,0.00024068674,0.00027977463,0.000007941608],"category_scores_gemma":[0.00038753595,0.0004815139,0.00006401453,0.00033199327,0.00021682092,0.00016294622,0.00034665086,0.0007572064,0.0000010947414],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013663819,0.00004491772,0.010769275,0.00030385508,0.000006823345,0.00042818923,0.000015375788,0.000010759957,0.9881615,0.00007807699,0.000033450342,0.000011156635],"study_design_scores_gemma":[0.0010615933,0.00006113203,0.11627316,0.0002154298,0.000048816906,0.0000026914684,0.0000028206073,0.0083121965,0.8730723,0.000028628214,0.00023941038,0.0006818069],"about_ca_topic_score_codex":0.00016731626,"about_ca_topic_score_gemma":0.000014663187,"teacher_disagreement_score":0.11508916,"about_ca_system_score_codex":0.00009559503,"about_ca_system_score_gemma":0.00012389023,"threshold_uncertainty_score":0.99976367},"labels":[],"label_agreement":null},{"id":"W3027757056","doi":"10.1016/j.neuroimage.2020.116979","title":"Neural dynamics supporting auditory long-term memory effects on target detection","year":2020,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"P3b; Psychology; Audiology; Mismatch negativity; Cognition; Brain activity and meditation; Electroencephalography; Echoic memory; Posterior cingulate; Temporal lobe; CLIPS; Event-related potential; Cognitive psychology; Neuroscience; Computer science; Medicine","score_opus":0.019615654731662227,"score_gpt":0.25278955045460916,"score_spread":0.23317389572294694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3027757056","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99037564,0.0000040960117,0.001654963,0.0018701744,0.0036265997,0.00044076418,0.000019115874,0.0004394783,0.001569143],"genre_scores_gemma":[0.9889918,0.0000054066163,0.000021961014,0.009597238,0.0010038158,0.000017293893,0.000012410966,0.00006523629,0.00028483983],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977612,0.00024794266,0.00029703075,0.0008249698,0.0004118241,0.00045707021],"domain_scores_gemma":[0.9988591,0.00039016438,0.00020276594,0.00030047435,0.000026711192,0.00022076044],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000101297046,0.00027957908,0.00022514851,0.000090712085,0.00028084032,0.0001284129,0.0002808786,0.000082510596,0.000052944375],"category_scores_gemma":[0.0011270208,0.00027202614,0.00014606919,0.00034695747,0.00007137546,0.00033022877,0.0001215965,0.0005847363,0.00022844739],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011587048,0.00004501737,0.0008200969,0.000100070065,0.0000021352591,0.0006183652,0.000041555813,0.0003808151,0.9664617,0.000044209068,0.00034126997,0.031028895],"study_design_scores_gemma":[0.00070664164,0.0012057953,0.042223252,0.000018514873,0.00002024009,0.000079158206,0.0000072442303,0.2618921,0.6931581,0.00008260103,0.00019686876,0.00040945841],"about_ca_topic_score_codex":0.0000029822224,"about_ca_topic_score_gemma":0.000005326487,"teacher_disagreement_score":0.27330357,"about_ca_system_score_codex":0.00007031752,"about_ca_system_score_gemma":0.000018900293,"threshold_uncertainty_score":0.9999732},"labels":[],"label_agreement":null},{"id":"W3027896046","doi":"10.1016/j.pneurobio.2020.101824","title":"Neural activity underlying the detection of an object movement by an observer during forward self-motion: Dynamic decoding and temporal evolution of directional cortical connectivity","year":2020,"lang":"en","type":"article","venue":"Progress in Neurobiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Neurological Disorders and Stroke; National Institutes of Health; National Science Foundation","keywords":"Magnetoencephalography; Computer science; Artificial intelligence; Neuroscience; Brain activity and meditation; Computer vision; Pattern recognition (psychology); Psychology; Electroencephalography","score_opus":0.03317774508776273,"score_gpt":0.28255595660202215,"score_spread":0.24937821151425943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3027896046","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99772483,0.00004045066,0.0012463477,0.00026124026,0.00025483783,0.0003787403,0.000019790245,0.00006913999,0.0000046000437],"genre_scores_gemma":[0.9997763,0.000015834035,0.000048032547,0.00009285539,0.000019154717,0.000028679717,0.0000046305977,0.000013627735,8.5562755e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9981224,0.0007212888,0.00028336537,0.0005099183,0.00013625392,0.00022676794],"domain_scores_gemma":[0.999284,0.00023967466,0.00023002215,0.0001440628,0.000035832232,0.00006640864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022329879,0.00015043678,0.00022460404,0.00006595645,0.00019336815,0.000021964779,0.00013364854,0.000086131535,0.000002676856],"category_scores_gemma":[0.00017419037,0.00012476754,0.00004865133,0.00029029124,0.00024409562,0.00036411415,0.000103777216,0.00030490448,1.896401e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033382533,0.00020854057,0.079885505,0.000055811874,0.0000056796734,0.000003193746,0.00008627379,0.00027553973,0.9106198,0.00011841669,1.3326377e-7,0.008407278],"study_design_scores_gemma":[0.0004736562,0.00092330266,0.533438,0.0000069800985,0.000011608783,0.000026929249,0.000035826713,0.32912683,0.13564387,0.00020816887,0.0000015946725,0.00010322366],"about_ca_topic_score_codex":0.000037087757,"about_ca_topic_score_gemma":0.00012666939,"teacher_disagreement_score":0.77497596,"about_ca_system_score_codex":0.0000832592,"about_ca_system_score_gemma":0.000018601011,"threshold_uncertainty_score":0.5087873},"labels":[],"label_agreement":null},{"id":"W3028182738","doi":"10.1101/2020.05.24.113480","title":"Coupling between slow-waves and sharp-wave ripples organizes distributed neural activity during sleep in humans","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"National Institute of Neurological Disorders and Stroke; University of California, Irvine; Defense Advanced Research Projects Agency; National Institutes of Health","keywords":"Neuroscience; Hippocampal formation; Memory consolidation; Hippocampus; Local field potential; Psychology; Electrophysiology; Premovement neuronal activity; Physics","score_opus":0.03298073971316721,"score_gpt":0.22656267923386958,"score_spread":0.19358193952070238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3028182738","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957776,0.00010039703,0.00045933604,0.0006885144,0.00070038025,0.0007458845,0.0010539828,0.00047195054,0.0000019579345],"genre_scores_gemma":[0.99891853,0.00015052977,0.00014062325,0.00010504882,0.00047627813,0.00006162432,0.0000018700243,0.00014320873,0.000002254116],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99623144,0.0001552192,0.00057963707,0.0018502676,0.00046168256,0.0007217628],"domain_scores_gemma":[0.99808896,0.00026252406,0.00045547332,0.0007418074,0.000116425785,0.00033478462],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027649198,0.00071348075,0.00080433185,0.00028431136,0.0003862393,0.0005079982,0.0004563515,0.0004456549,0.000018397426],"category_scores_gemma":[0.0008402365,0.0007718686,0.00013016572,0.00081560994,0.00020268085,0.00037613846,0.0011695765,0.0014887279,0.0000135310465],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053393134,0.000061952655,0.03570264,0.0003376276,0.000027968385,0.00019617111,0.00001434433,0.00040195708,0.9630398,0.00015331921,0.000009044099,0.0000017889082],"study_design_scores_gemma":[0.00048856065,0.000042094776,0.52773213,0.00015853124,0.000049645692,4.707346e-8,0.000002316108,0.021950422,0.44888893,0.0000076131173,0.000042138472,0.0006375586],"about_ca_topic_score_codex":0.00006611556,"about_ca_topic_score_gemma":0.000009443395,"teacher_disagreement_score":0.51415086,"about_ca_system_score_codex":0.0002811403,"about_ca_system_score_gemma":0.00012288832,"threshold_uncertainty_score":0.9994732},"labels":[],"label_agreement":null},{"id":"W3028209367","doi":"10.1093/schbul/sbaa028.056","title":"O10.2. DEFICIENT VISUAL ODDBALL STIMULUS PROCESSING PREDICTS PSYCHOSIS ONSET: RESULTS FROM THE NORTH AMERICAN PRODROME LONGITUDINAL STUDY","year":2020,"lang":"en","type":"article","venue":"Schizophrenia Bulletin","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"P3a; P3b; Prodrome; Psychology; Psychosis; Audiology; Oddball paradigm; Event-related potential; Stimulus (psychology); Electroencephalography; N400; Developmental psychology; Neuroscience; Psychiatry; Medicine; Cognitive psychology","score_opus":0.036661447234042854,"score_gpt":0.2709491139219047,"score_spread":0.23428766668786183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3028209367","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98115295,0.00003285701,0.00017183252,0.016500713,0.0003458512,0.001074078,0.00032125713,0.0002800589,0.000120392346],"genre_scores_gemma":[0.996056,0.000013041817,0.00026870982,0.003011105,0.00040239518,0.0000764884,0.000041885716,0.000052587922,0.000077741155],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962101,0.0003710816,0.00059020316,0.0014116972,0.00087934063,0.0005375981],"domain_scores_gemma":[0.99833536,0.00046007763,0.00039600726,0.00046489632,0.00007979735,0.0002638447],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026153165,0.00038447444,0.00035556513,0.000062245104,0.0006486636,0.00034492937,0.00069254707,0.000042249838,0.00006688417],"category_scores_gemma":[0.0012166119,0.0002735471,0.00011004927,0.0010582343,0.00028263533,0.0000881286,0.0002758752,0.0005858115,0.00038911044],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.06898698,0.009903625,0.55030173,0.00016894918,0.00028493087,0.0016130516,0.017178357,0.00811913,0.031493675,0.00016097365,0.07547154,0.23631705],"study_design_scores_gemma":[0.004951365,0.0034124453,0.9584735,0.000067443994,0.00013432789,0.00003194275,0.0005109037,0.022131981,0.0007220039,0.000038546274,0.008751035,0.00077450136],"about_ca_topic_score_codex":0.00042369132,"about_ca_topic_score_gemma":0.00043661153,"teacher_disagreement_score":0.40817177,"about_ca_system_score_codex":0.000050996037,"about_ca_system_score_gemma":0.000078097146,"threshold_uncertainty_score":0.9999717},"labels":[],"label_agreement":null},{"id":"W3028529543","doi":"10.1098/rstb.2019.0633","title":"Cross-species neuroscience: closing the explanatory gap","year":2020,"lang":"en","type":"article","venue":"Philosophical Transactions of the Royal Society B Biological Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":89,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Biotechnology and Biological Sciences Research Council; Medical Research Council; Wellcome Trust","keywords":"Neuroscience; Systems neuroscience; Cognitive neuroscience; Neuroimaging; Cognitive science; Computational neuroscience; Cognition; Psychology; Computer science; Cognitive psychology","score_opus":0.17914237605871144,"score_gpt":0.30992569296456124,"score_spread":0.1307833169058498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3028529543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8556601,0.000083433755,0.0073312647,0.13179131,0.0010478254,0.00044206882,0.00007780746,0.00015609754,0.0034100884],"genre_scores_gemma":[0.9890161,0.00007844315,0.00007707261,0.010533494,0.00018735486,0.000012217764,2.9936913e-7,0.0000053415597,0.000089635454],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977822,0.00025950963,0.00032307263,0.00061785016,0.0006465234,0.0003708875],"domain_scores_gemma":[0.998861,0.0006121867,0.00014452163,0.00021395073,0.000037291386,0.00013101667],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.00046949435,0.000179863,0.00019253955,0.000011599193,0.0021229081,0.00015178222,0.0014436981,0.000120767414,0.00017821092],"category_scores_gemma":[0.00056840107,0.00008024032,0.000507906,0.0010681229,0.005354623,0.00016288288,0.000109181536,0.00053328736,0.000008844572],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015330625,0.0004966675,0.01336472,0.00005175591,0.000019538951,0.000004459594,0.0009414178,0.045546386,0.8275188,0.10775015,0.0004867082,0.003666084],"study_design_scores_gemma":[0.0013479989,0.0032456852,0.0964904,0.00007608911,0.00010089251,0.000050462742,0.0007698914,0.5329207,0.18560503,0.16310407,0.014757793,0.001530967],"about_ca_topic_score_codex":0.000010565878,"about_ca_topic_score_gemma":4.4190273e-7,"teacher_disagreement_score":0.6419138,"about_ca_system_score_codex":0.00002366669,"about_ca_system_score_gemma":0.000044507076,"threshold_uncertainty_score":0.9991762},"labels":[],"label_agreement":null},{"id":"W3028605833","doi":"10.7554/elife.56942","title":"Flexible motor sequence generation during stereotyped escape responses","year":2020,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"National Institute of Neurological Disorders and Stroke; Fundamental Research Funds for the Central Universities; Canadian Institutes of Health Research; National Institute of General Medical Sciences; National Natural Science Foundation of China","keywords":"Sequence (biology); Neuroscience; Biology; Communication; Genetics; Psychology","score_opus":0.1407935812243487,"score_gpt":0.29586459785137137,"score_spread":0.15507101662702266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3028605833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963127,0.0000131602,0.00038714087,0.0022312792,0.00032015683,0.00013617748,0.000017554796,0.00016971672,0.0004121552],"genre_scores_gemma":[0.9926877,0.00002970972,0.00013491207,0.004668043,0.00037839962,0.0000092470245,0.0000035596674,0.00001375839,0.0020746472],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99909306,0.00008517545,0.00013517603,0.0003092562,0.00022518492,0.00015215728],"domain_scores_gemma":[0.9996531,0.0000517525,0.000049315666,0.00013028178,0.000024245037,0.000091293194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000059958133,0.00008654681,0.00007788568,0.000034692577,0.00015484032,0.000071816416,0.00009557109,0.000031229505,0.0000820944],"category_scores_gemma":[0.0005475386,0.000080190344,0.000034403052,0.00019009462,0.000026291575,0.00019561709,0.00005041422,0.00009621505,0.000239292],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010981258,0.000007749623,0.00016045372,0.000008168452,8.3669164e-7,0.000021977883,0.00006450112,0.00010700889,0.9985026,0.00036929292,0.0002982834,0.00034930446],"study_design_scores_gemma":[0.00020358151,0.00011323924,0.0020883929,0.00000450712,0.0000027252308,0.000013687512,0.0000075824923,0.037722334,0.95696306,0.000016995395,0.0027527756,0.00011110792],"about_ca_topic_score_codex":0.000004155328,"about_ca_topic_score_gemma":0.0000015638419,"teacher_disagreement_score":0.041539542,"about_ca_system_score_codex":0.00002296291,"about_ca_system_score_gemma":0.000027973036,"threshold_uncertainty_score":0.32700673},"labels":[],"label_agreement":null},{"id":"W3029498925","doi":"10.3389/fnsyn.2020.00023","title":"Editorial: Methods for Synaptic Interrogation","year":2020,"lang":"en","type":"editorial","venue":"Frontiers in Synaptic Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre; Montreal General Hospital","funders":"","keywords":"Interrogation; Neuroscience; Psychology; Computer science; History","score_opus":0.025759262851176055,"score_gpt":0.3252557810267744,"score_spread":0.2994965181755983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3029498925","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00007192993,0.00006283872,0.16839014,0.00041594292,0.82951576,0.0010782107,0.00014751907,0.0001987953,0.00011887715],"genre_scores_gemma":[0.001022209,0.00018424774,0.018864298,0.000869325,0.9779008,0.00039354482,0.000057186295,0.00014998385,0.00055842614],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9938302,0.000711191,0.0009094956,0.0023987382,0.001203683,0.00094668433],"domain_scores_gemma":[0.99538845,0.0028644116,0.0006146915,0.0006799349,0.00017763821,0.0002748745],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013029184,0.00065649836,0.0009344539,0.0005426403,0.00031518232,0.00039041758,0.0018063183,0.0008526258,0.00000540156],"category_scores_gemma":[0.02575511,0.0006535725,0.00029420792,0.001334453,0.00057058333,0.0005832423,0.0003743799,0.0016465809,0.000016350214],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017368003,0.00006044198,0.0000038739354,0.00013621064,0.00000571701,0.000015186133,0.00007976755,0.00010549188,0.062510364,0.00015741338,0.9330328,0.0037190274],"study_design_scores_gemma":[0.0006265748,0.0006199986,0.000002663914,0.0000944451,0.000050603634,0.000004461644,0.000042399526,0.08735469,0.0021837833,0.002824213,0.9056057,0.0005904732],"about_ca_topic_score_codex":0.000013239032,"about_ca_topic_score_gemma":0.0000037865068,"teacher_disagreement_score":0.14952584,"about_ca_system_score_codex":0.0005440773,"about_ca_system_score_gemma":0.00067586364,"threshold_uncertainty_score":0.9995915},"labels":[],"label_agreement":null},{"id":"W3029829036","doi":"10.1073/pnas.1916646117","title":"Activity-dependent myelination: A glial mechanism of oscillatory self-organization in large-scale brain networks","year":2020,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":140,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Hospital for Sick Children; Centre for Addiction and Mental Health; University of Toronto; University Health Network","funders":"National Research Council Canada; Canadian Institutes of Health Research; Government of Canada","keywords":"Mechanism (biology); Neuroscience; Scale (ratio); Psychology; Physics","score_opus":0.027855688711871104,"score_gpt":0.26259497694090195,"score_spread":0.23473928822903084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3029829036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896636,0.000007027449,0.00011537732,0.009103465,0.0000574534,0.00023113571,0.000015355432,0.000022371105,0.00078423397],"genre_scores_gemma":[0.99856305,0.000015583615,0.00020849447,0.0010888574,0.00008527024,0.0000032384426,1.16697315e-7,0.000005575899,0.000029830459],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99814236,0.000020882548,0.0003072371,0.0003155115,0.0010720888,0.00014189786],"domain_scores_gemma":[0.99908835,0.00015951938,0.000474528,0.000008054642,0.00023376032,0.000035774458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088758994,0.000088356246,0.00015131097,0.00013084462,0.00014416294,0.000020668074,0.0005217922,0.00008995669,0.000012209508],"category_scores_gemma":[0.0014649275,0.00006844483,0.000042888663,0.0019302494,0.00018855762,0.0005163753,0.00018188958,0.0001912181,7.345688e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017740724,0.00007262478,0.0021776494,0.000039211787,0.0000018807019,1.1084485e-8,0.0003316466,0.0013506551,0.94125074,0.054578558,0.00007602415,0.000103226244],"study_design_scores_gemma":[0.00030698485,0.00008720747,0.017414117,0.000031989377,0.0000051935417,0.0000034210145,0.00008884376,0.14486241,0.8273141,0.009774447,0.00002703848,0.00008425754],"about_ca_topic_score_codex":0.0000017288367,"about_ca_topic_score_gemma":2.1549906e-7,"teacher_disagreement_score":0.14351176,"about_ca_system_score_codex":0.000041190324,"about_ca_system_score_gemma":0.000040046358,"threshold_uncertainty_score":0.27910993},"labels":[],"label_agreement":null},{"id":"W3030072236","doi":"10.1093/cercor/bhaa132","title":"Differential Generation of Saccade, Fixation, and Image-Onset Event-Related Potentials in the Human Mesial Temporal Lobe","year":2020,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Western Hospital; University of Toronto","funders":"National Institute of Neurological Disorders and Stroke; National Institutes of Health; Fondation Brain Canada","keywords":"Psychology; Eye movement; Neuroscience; Fixation (population genetics); Electrophysiology; Saccade; Temporal lobe; Electroencephalography; Audiology; Epilepsy; Medicine","score_opus":0.03630906306224169,"score_gpt":0.2677227027126627,"score_spread":0.231413639650421,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3030072236","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99670565,0.000008596426,0.0006707531,0.0019471392,0.00019823476,0.00030893975,0.000030001682,0.000024830591,0.000105842206],"genre_scores_gemma":[0.9988177,0.0000070243304,0.000017885437,0.0008654016,0.000118807584,0.0000069331704,0.0000792896,0.00001103279,0.000075950986],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99871093,0.00022527715,0.00036011622,0.00031647788,0.00023917704,0.00014799685],"domain_scores_gemma":[0.999583,0.000042511867,0.00017375608,0.00012379409,0.000028064609,0.00004889551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000096746306,0.00012332821,0.00015922089,0.00005228957,0.00014540566,0.000079253994,0.0001619884,0.00006661344,0.00018454558],"category_scores_gemma":[0.00013317981,0.00009145316,0.000056870063,0.00025697902,0.00009739135,0.00021294077,0.000052556898,0.00016855472,0.000008081135],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002653068,0.000044882632,0.005434806,0.000013720706,0.0000032146997,0.0000072981893,0.00027641482,0.00001785357,0.9910338,0.0018484176,0.0008561667,0.00043692108],"study_design_scores_gemma":[0.003256939,0.00080060767,0.62410283,0.000032322405,0.00008083624,0.00006455602,0.000204202,0.11204377,0.25330594,0.005374882,0.00019162113,0.00054146803],"about_ca_topic_score_codex":0.000045998637,"about_ca_topic_score_gemma":0.000036847425,"teacher_disagreement_score":0.7377278,"about_ca_system_score_codex":0.000011084168,"about_ca_system_score_gemma":0.000018940746,"threshold_uncertainty_score":0.37293518},"labels":[],"label_agreement":null},{"id":"W3030687700","doi":"10.1101/2020.05.25.115378","title":"Neuronal timescales are functionally dynamic and shaped by cortical microarchitecture","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of California, San Diego; Deutsche Forschungsgemeinschaft; Alexander von Humboldt-Stiftung; National Institute of General Medical Sciences; Whitehall Foundation; National Institutes of Health; National Science Foundation","keywords":"Neuroscience; Working memory; Prefrontal cortex; Cortex (anatomy); Human brain; Cognition; Infralimbic cortex; Biology; Electrophysiology; Psychology","score_opus":0.014424932615701803,"score_gpt":0.21165192046143871,"score_spread":0.19722698784573692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3030687700","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894252,0.00030177424,0.003181617,0.003559099,0.0012373949,0.0006081002,0.001188045,0.000491699,0.0000070768724],"genre_scores_gemma":[0.9956941,0.00016751252,0.00045191427,0.0032124324,0.00024562568,0.00006920607,0.0000015698288,0.00013327981,0.00002432876],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99648327,0.0002523073,0.00045776795,0.0017505614,0.0005268214,0.0005293028],"domain_scores_gemma":[0.9982842,0.00025462528,0.0003403355,0.0005788826,0.00012245623,0.00041946306],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016068919,0.00062622706,0.0005257379,0.00015036928,0.00030771154,0.00035101376,0.0004725238,0.000431645,0.000067355424],"category_scores_gemma":[0.0006409488,0.0006300087,0.00015985823,0.00036141506,0.00032802395,0.00011673882,0.00072173984,0.0016605745,0.00007487982],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000088835084,0.000088900226,0.0008812186,0.00017297541,0.000022467333,0.00006780097,0.000002500297,0.000029766235,0.9975159,0.00031841447,0.0008062145,0.0000050141907],"study_design_scores_gemma":[0.0018268385,0.0004992968,0.474803,0.00049858633,0.00034031918,0.0000010032185,0.0000039134993,0.086670615,0.41334018,0.000093547715,0.018668184,0.0032545102],"about_ca_topic_score_codex":0.0000060987823,"about_ca_topic_score_gemma":0.00000187138,"teacher_disagreement_score":0.5841757,"about_ca_system_score_codex":0.00011730971,"about_ca_system_score_gemma":0.00020419637,"threshold_uncertainty_score":0.99961513},"labels":[],"label_agreement":null},{"id":"W3031531720","doi":"10.1016/j.neuroimage.2020.116994","title":"Disentangling presentation and processing times in the brain","year":2020,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fixation (population genetics); Computer science; Millisecond; Information processing; Visual processing; Rapid serial visual presentation; Neuroscience; Psychology; Pattern recognition (psychology); Artificial intelligence; Cognition; Perception; Biology; Physics","score_opus":0.04311924448339323,"score_gpt":0.2836477352748683,"score_spread":0.2405284907914751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3031531720","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9685119,0.000018058205,0.00014751655,0.02844091,0.00005323163,0.00019822338,0.0000029595355,0.000042447475,0.002584785],"genre_scores_gemma":[0.9863922,0.000008096728,0.000022698136,0.013435386,0.000058981113,0.0000053533818,0.0000012691046,0.00000785566,0.00006817929],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999327,0.0001089355,0.00008904692,0.00023611168,0.00013562737,0.00010329105],"domain_scores_gemma":[0.9996817,0.0001926747,0.000032661927,0.000060471513,0.0000048005636,0.000027658716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006447385,0.000060525268,0.00005011042,0.000021957843,0.00008795624,0.00012896798,0.00009644107,0.000012095258,0.0000074765567],"category_scores_gemma":[0.00042469273,0.000043216252,0.000013494021,0.0002271984,0.000041339037,0.00022192243,0.000034537014,0.00012102017,0.000007003777],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044262983,0.000034642682,0.0048901876,0.00005081295,3.2205196e-7,0.00013412896,0.0018906988,0.00009636548,0.9668116,0.0010289697,0.0012480868,0.023769917],"study_design_scores_gemma":[0.0013736092,0.00036783106,0.07628713,0.00003757352,0.000014929889,0.00011593156,0.0007822544,0.8489405,0.0603942,0.0029608295,0.008321357,0.0004038605],"about_ca_topic_score_codex":0.0000021394924,"about_ca_topic_score_gemma":0.000001845555,"teacher_disagreement_score":0.9064174,"about_ca_system_score_codex":0.0000029784032,"about_ca_system_score_gemma":0.000005629014,"threshold_uncertainty_score":0.17623076},"labels":[],"label_agreement":null},{"id":"W3032551563","doi":"10.1101/2020.05.25.114892","title":"Miniaturized head-mounted device for whole cortex mesoscale imaging in freely behaving mice","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"College of Science and Engineering, University of Minnesota; National Institutes of Health; University of Minnesota","keywords":"Cortex (anatomy); Neuroscience; Calcium imaging; Barrel cortex; Local field potential; Premovement neuronal activity; Sensory system; Mesoscale meteorology; Brain activity and meditation; Wakefulness; Dorsum; Visual cortex; Anatomy; Biology; Chemistry; Calcium; Electroencephalography; Physics","score_opus":0.026178477291572244,"score_gpt":0.26894183533072225,"score_spread":0.24276335803915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3032551563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99085677,0.00023541275,0.001301852,0.0020420454,0.0023987473,0.001807181,0.00082076667,0.0005242558,0.000012980857],"genre_scores_gemma":[0.99338835,0.00004744957,0.003334331,0.0022067952,0.00039626483,0.0004091973,0.000001940602,0.00020013495,0.00001552191],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9956623,0.00022337948,0.0008189527,0.0019874421,0.00047300625,0.00083494687],"domain_scores_gemma":[0.9975999,0.00037607807,0.00057273894,0.0008848588,0.00026056607,0.00030586214],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00047738233,0.0006975303,0.0007589121,0.0003632823,0.0002506633,0.00043260623,0.0008851574,0.00038112194,0.000015714153],"category_scores_gemma":[0.0012122137,0.0007931089,0.00026226102,0.00083391654,0.00012665508,0.0003279686,0.000642956,0.0010831202,0.000049270842],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011821101,0.00015029468,0.0019050593,0.00030164415,0.000011138482,0.00010164896,0.000014359292,0.00004498535,0.9968476,0.0002009484,0.0002988144,0.0000052746327],"study_design_scores_gemma":[0.0026932436,0.00014185997,0.086887196,0.000890555,0.00017073442,1.4133637e-7,0.000009617344,0.061610553,0.8332293,0.000025967363,0.012477376,0.001863428],"about_ca_topic_score_codex":0.00012749931,"about_ca_topic_score_gemma":0.00003228273,"teacher_disagreement_score":0.1636183,"about_ca_system_score_codex":0.00037475387,"about_ca_system_score_gemma":0.00039436444,"threshold_uncertainty_score":0.999452},"labels":[],"label_agreement":null},{"id":"W3032992368","doi":"10.1371/journal.pcbi.1007936","title":"A functional spiking-neuron model of activity-silent working memory in humans based on calcium-mediated short-term synaptic plasticity","year":2020,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Neuroscience; Synaptic plasticity; Facilitation; Calcium imaging; Stimulus (psychology); Neural facilitation; Computer science; ENCODE; Working memory; Neuron; Mechanism (biology); Neuroplasticity; Premovement neuronal activity; Psychology; Calcium; Biology; Cognitive psychology; Excitatory postsynaptic potential; Cognition; Chemistry; Inhibitory postsynaptic potential; Physics","score_opus":0.12054819708598585,"score_gpt":0.27628144063634696,"score_spread":0.1557332435503611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3032992368","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95194113,0.000002025046,0.04651951,0.0008596529,0.00016441698,0.00023187399,0.00006847866,0.00006140819,0.00015152707],"genre_scores_gemma":[0.9977182,0.0000010217615,0.00015308922,0.0019486019,0.00007062375,0.000021521271,0.00006730881,0.000016106671,0.0000035325384],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99846244,0.0001934933,0.0003045442,0.00053916464,0.00027211962,0.00022824606],"domain_scores_gemma":[0.99818,0.0014982728,0.00012197813,0.00007696145,0.000043273947,0.00007952361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000071025126,0.00017358323,0.00026041377,0.00018126678,0.00008320476,0.000012727023,0.00014174385,0.00009470067,0.00003663444],"category_scores_gemma":[0.00049060636,0.00016566204,0.000073837924,0.0002789724,0.00012865989,0.000056740082,0.00006298359,0.00031008385,0.000017475853],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002778708,0.00019821592,0.0025745141,0.000018447801,0.0000062229474,0.0000068749505,0.00003137602,0.572052,0.42366955,0.0009346253,0.000008457799,0.0002218348],"study_design_scores_gemma":[0.00048988865,0.0003993641,0.020747723,0.000027364616,0.000010945829,0.000001281007,0.0000029295102,0.96975076,0.007816324,0.0006141398,0.0000021721696,0.00013712396],"about_ca_topic_score_codex":0.000003909779,"about_ca_topic_score_gemma":0.0000045209263,"teacher_disagreement_score":0.41585323,"about_ca_system_score_codex":0.00006134693,"about_ca_system_score_gemma":0.00008857923,"threshold_uncertainty_score":0.67555016},"labels":[],"label_agreement":null},{"id":"W3033528306","doi":"10.1101/2020.06.04.134635","title":"A generative modeling approach for interpreting population-level variability in brain structure","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"National Institutes of Health; National Science Foundation","keywords":"Generative grammar; Autoencoder; Bottleneck; Generative model; Computer science; Artificial intelligence; Variation (astronomy); Artificial neural network; Latent variable; Machine learning; Coupling (piping); Population; Physics","score_opus":0.0448372389415946,"score_gpt":0.2531265014146746,"score_spread":0.20828926247307997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033528306","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6217907,0.000015088246,0.37420553,0.00068416493,0.0007664106,0.0014417564,0.0008948932,0.00019671649,0.000004761598],"genre_scores_gemma":[0.9628128,0.000005451438,0.03520992,0.0012279232,0.00036142944,0.00026926314,0.0000034747927,0.000108181965,0.0000015773225],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99611324,0.000496715,0.00070768886,0.0018458092,0.00033865555,0.00049788697],"domain_scores_gemma":[0.9981707,0.0003943449,0.00037124098,0.0007078223,0.0001857246,0.0001702158],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000839769,0.00054030714,0.00059551065,0.00021758983,0.00020542978,0.00028517537,0.0005443268,0.00048403654,0.000008797641],"category_scores_gemma":[0.0044798953,0.0005657765,0.00017275587,0.0005455178,0.000054471257,0.0002201506,0.0005019076,0.0010546651,0.0000016212904],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007971278,0.000070591814,0.0014644766,0.00037687612,0.000015810368,0.000005898865,0.00003213773,0.056130208,0.93782216,0.0039671105,0.000029645758,0.000005371746],"study_design_scores_gemma":[0.000357237,0.000033234992,0.0028833423,0.000110008856,0.000021842896,1.5492288e-8,0.0000020960645,0.93296695,0.062752455,0.00028888165,0.000020909807,0.00056301],"about_ca_topic_score_codex":0.00007377985,"about_ca_topic_score_gemma":0.0000054351212,"teacher_disagreement_score":0.8768368,"about_ca_system_score_codex":0.000397514,"about_ca_system_score_gemma":0.00023631004,"threshold_uncertainty_score":0.9996794},"labels":[],"label_agreement":null},{"id":"W3033798568","doi":"10.1016/j.neuroimage.2020.117010","title":"Natural scene representations in the gamma band are prototypical across subjects","year":2020,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University Health Centre","keywords":"Stimulus (psychology); Correlation; Psychology; Visual cortex; Natural sounds; Visual perception; Communication; Cognitive psychology; Perception; Pattern recognition (psychology); Artificial intelligence; Neuroscience; Computer science; Mathematics; Speech recognition","score_opus":0.05940543309263526,"score_gpt":0.313885760692957,"score_spread":0.25448032760032174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033798568","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9817442,0.000008374712,0.00003859508,0.016194906,0.0002456199,0.0007102891,0.000020027539,0.00006885729,0.0009690741],"genre_scores_gemma":[0.98830223,0.00000750068,0.000016923015,0.011349898,0.00012630431,0.000055579134,0.0000034058933,0.000014126294,0.00012403501],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985912,0.00023431815,0.0001674221,0.00045967105,0.00027877252,0.00026860894],"domain_scores_gemma":[0.9993567,0.00026342738,0.00006322524,0.00023922746,0.000018732453,0.000058673726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009468836,0.00011413793,0.00010598573,0.00002258202,0.00018527667,0.0001674278,0.00031362352,0.000030744493,0.000018552077],"category_scores_gemma":[0.0009453832,0.00008047167,0.000057883288,0.00052618457,0.00009905446,0.00021435275,0.00006475209,0.00042827646,0.000058294256],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016880665,0.00008363172,0.008014953,0.000025225987,7.7090556e-7,0.0005004734,0.00082228513,0.000053410782,0.98622155,0.00027640775,0.0024162177,0.0014162641],"study_design_scores_gemma":[0.0014887416,0.00031972898,0.77994156,0.000020553443,0.000007553862,0.00016338215,0.0003597564,0.035971384,0.173222,0.00030413506,0.007859064,0.00034211858],"about_ca_topic_score_codex":0.000009261082,"about_ca_topic_score_gemma":0.000022218648,"teacher_disagreement_score":0.81299955,"about_ca_system_score_codex":0.000009359932,"about_ca_system_score_gemma":0.000012308987,"threshold_uncertainty_score":0.32815394},"labels":[],"label_agreement":null},{"id":"W3033950604","doi":"10.1016/j.neubiorev.2021.02.003","title":"Markov blankets in the brain","year":2021,"lang":"en","type":"preprint","venue":"Neuroscience & Biobehavioral Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Economic and Social Research Council; Humboldt-Universität zu Berlin; Wellcome Trust","keywords":"Leverage (statistics); Computer science; Markov chain; Modular design; Brain function; Artificial intelligence; Neuroscience; Machine learning; Psychology","score_opus":0.13439931149566328,"score_gpt":0.3631047064298598,"score_spread":0.22870539493419653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033950604","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9863338,0.0034454078,0.00012211547,0.0010783833,0.005035792,0.0027329708,0.000059347178,0.00010594493,0.001086245],"genre_scores_gemma":[0.9570707,0.009706463,0.00013676804,0.031843834,0.00018258377,0.00047342264,0.000028972527,0.00004825183,0.00050900795],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9941556,0.0012408851,0.00093651755,0.001914301,0.0009939253,0.0007587612],"domain_scores_gemma":[0.99765766,0.00003058483,0.0005180119,0.0016055175,0.000041944168,0.00014627997],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017997302,0.00059358514,0.0007227669,0.00023143648,0.00028934356,0.00094127416,0.0022158567,0.0002641604,0.00010682393],"category_scores_gemma":[0.0024250436,0.0003975453,0.00044890764,0.0013715794,0.0004152893,0.00033740327,0.0011271171,0.0017205648,0.000056923192],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014008284,0.0004866046,0.0017977695,0.00014837593,2.1180858e-8,0.00065515406,0.00031916433,0.000035105768,0.66844,0.0002821888,0.005648501,0.32217312],"study_design_scores_gemma":[0.00032248383,0.00026641582,0.031587332,0.0005560367,0.00004643909,0.00033285143,0.00009153164,0.0021262728,0.0020702402,0.00037008643,0.96118057,0.0010497525],"about_ca_topic_score_codex":0.00009352608,"about_ca_topic_score_gemma":0.000107636246,"teacher_disagreement_score":0.9555321,"about_ca_system_score_codex":0.00010799498,"about_ca_system_score_gemma":0.00019439886,"threshold_uncertainty_score":0.99984765},"labels":[],"label_agreement":null},{"id":"W3034081969","doi":"10.1093/cercor/bhaa129","title":"Neural Correlates of Evidence and Urgency During Human Perceptual Decision-Making in Dynamically Changing Conditions","year":2020,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Western University; McGill University; Montreal Neurological Institute and Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Perception; Cognitive psychology; Computer science; Psychology; Neural correlates of consciousness; Fusiform gyrus; Task (project management); Sensory system; Computational model; Artificial intelligence; Neuroscience; Functional magnetic resonance imaging; Cognition","score_opus":0.05816915232358752,"score_gpt":0.30604941859466017,"score_spread":0.24788026627107265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034081969","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989676,0.000031740765,0.00015244386,0.000295728,0.00018494033,0.00020384847,0.0000143285315,0.000052899,0.00009649247],"genre_scores_gemma":[0.9994863,0.000019407493,0.00004687785,0.00034529853,0.00004335538,0.0000064338515,0.0000029876749,0.000016770242,0.000032516677],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99867857,0.00006212842,0.00033730347,0.0004362552,0.00021207577,0.00027366332],"domain_scores_gemma":[0.99926126,0.00037609323,0.000115367795,0.00012461504,0.000026984966,0.000095668904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000722393,0.00014157436,0.0001998692,0.00015670224,0.00020944867,0.000041585354,0.00017222925,0.000055749373,0.00020049713],"category_scores_gemma":[0.00078192056,0.00012356654,0.000060361344,0.00048660813,0.00013096354,0.00036976914,0.00018482163,0.00023401348,0.000009811377],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000073245945,0.000039969764,0.08118261,0.00006711598,0.000002610299,0.000064213746,0.0012387328,0.00047395498,0.9116252,0.0029434264,0.000010774457,0.0022781477],"study_design_scores_gemma":[0.00039250051,0.00023487823,0.80146956,0.0003511051,0.000013244354,0.000055732446,0.00033921094,0.19344127,0.0017646394,0.0016844827,0.0000026280209,0.00025076367],"about_ca_topic_score_codex":0.0000071718414,"about_ca_topic_score_gemma":0.000021339729,"teacher_disagreement_score":0.90986055,"about_ca_system_score_codex":0.00002878647,"about_ca_system_score_gemma":0.000013989371,"threshold_uncertainty_score":0.50388974},"labels":[],"label_agreement":null},{"id":"W3034095498","doi":"10.1007/978-3-642-27737-5_696-1","title":"Additive Noise Tunes the Self-Organization in Complex Systems","year":2018,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Complexity and Systems Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Krembil Foundation","funders":"","keywords":"Noise (video); Computer science; Artificial intelligence","score_opus":0.04652744148072175,"score_gpt":0.24841922146471973,"score_spread":0.201891779983998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034095498","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13582315,0.00042071592,0.00030683336,0.0003920835,0.005557703,0.0030502526,0.00061670365,0.00022272638,0.85360986],"genre_scores_gemma":[0.9461985,0.001153238,0.000052037074,0.00013600268,0.00055707735,0.000023570958,0.00003756635,0.000049995655,0.05179201],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99705243,0.00014289458,0.0006978945,0.00080840004,0.00094041077,0.00035796978],"domain_scores_gemma":[0.99781424,0.0004503418,0.00064219604,0.0005077822,0.0004667162,0.000118721975],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00089759333,0.00033827336,0.00053141953,0.0003174108,0.0005756783,0.00023974646,0.00078288495,0.00015313605,0.00008853423],"category_scores_gemma":[0.00047962167,0.00024703433,0.000046749192,0.0005910657,0.0023679035,0.00037494279,0.0003020143,0.0002992218,0.000057335124],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026284251,0.00007164195,0.00030561636,0.00037782977,0.000011267335,0.000020952171,0.001779241,0.00010332521,0.008889008,0.98515105,0.0028391352,0.00042463685],"study_design_scores_gemma":[0.0021544169,0.001604115,0.044305764,0.002964788,0.00017763252,0.00104727,0.0018442735,0.14029466,0.0016967942,0.05386537,0.7461906,0.0038543257],"about_ca_topic_score_codex":0.00021235668,"about_ca_topic_score_gemma":0.000068142384,"teacher_disagreement_score":0.9312857,"about_ca_system_score_codex":0.00011695462,"about_ca_system_score_gemma":0.00026037922,"threshold_uncertainty_score":0.9999982},"labels":[],"label_agreement":null},{"id":"W3034689339","doi":"10.1101/2020.06.11.106476","title":"The interplay between information flux and temporal dynamics in infraslow frequencies","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Ottawa","funders":"European Commission","keywords":"Resting state fMRI; Dynamics (music); Neurophysiology; Computer science; Artificial intelligence; Pattern recognition (psychology); Speech recognition; Neuroscience; Psychology","score_opus":0.016290912589704495,"score_gpt":0.23088940677855185,"score_spread":0.21459849418884736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034689339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941299,0.000066684464,0.0012897558,0.0020679052,0.0010966021,0.0007042359,0.0003577716,0.00023649492,0.00005065519],"genre_scores_gemma":[0.9986628,0.00015569937,0.00028719325,0.0006081217,0.00015844025,0.000078866986,0.0000017319816,0.00004111035,0.0000060328625],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99786425,0.00017067391,0.0006188096,0.0005810646,0.0003611894,0.0004040068],"domain_scores_gemma":[0.99845123,0.00029422983,0.0004135753,0.0005651031,0.00011166729,0.00016421423],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004600104,0.00038930247,0.00036109838,0.00021415782,0.00026124442,0.0006914101,0.00056860864,0.00031772043,0.000005326561],"category_scores_gemma":[0.0010855853,0.00032952116,0.00007671805,0.0005174155,0.00022219843,0.00057917315,0.00069268484,0.0010569022,0.00004629361],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000170391,0.000092627706,0.29085067,0.0010469675,0.00009020924,0.000109697176,0.00015381229,0.00020695389,0.67027014,0.03521072,0.001557248,0.00024052829],"study_design_scores_gemma":[0.0016642405,0.00038802763,0.64155287,0.00088648335,0.00012642345,1.5566359e-7,0.00006204981,0.14946063,0.17730506,0.00057957123,0.025228685,0.00274581],"about_ca_topic_score_codex":0.00008318401,"about_ca_topic_score_gemma":0.000036130885,"teacher_disagreement_score":0.4929651,"about_ca_system_score_codex":0.00040900146,"about_ca_system_score_gemma":0.00023679638,"threshold_uncertainty_score":0.99991566},"labels":[],"label_agreement":null},{"id":"W3035050931","doi":"10.1162/netn_a_00152","title":"In silico exploration of mouse brain dynamics by focal stimulation reflects the organization of functional networks and sensory processing","year":2020,"lang":"en","type":"article","venue":"Network Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche; Fondation pour la Recherche Médicale; Deutsche Forschungsgemeinschaft","keywords":"Neuroscience; Stimulation; Sensory system; Optogenetics; Resting state fMRI; Functional connectivity; Network dynamics; Default mode network; Perception; Human brain; Sensory stimulation therapy; Psychology; Biology","score_opus":0.04347417685543253,"score_gpt":0.25637826949606307,"score_spread":0.21290409264063054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035050931","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8342551,0.00002502765,0.16123345,0.0038061184,0.00028753132,0.00031086046,0.000007877629,0.00003704089,0.000037013066],"genre_scores_gemma":[0.9961336,0.000047353155,0.000034883884,0.0035924644,0.00008565808,0.0000041596727,0.000009086321,0.000016134305,0.00007661591],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985372,0.00018141381,0.0003319468,0.0004151542,0.0003315865,0.00020273522],"domain_scores_gemma":[0.9992024,0.0002888403,0.0002590389,0.00011826998,0.000074906035,0.000056563047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021560761,0.00012126978,0.00014400431,0.00004357284,0.00019289865,0.00005233439,0.00015288529,0.000060306287,0.000003140564],"category_scores_gemma":[0.0008523695,0.0001007164,0.000019003957,0.001638702,0.00024869558,0.00073391804,0.000080148544,0.00019098786,4.3220334e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036583206,0.000024720832,0.0018211624,0.000014585289,1.9095536e-7,9.082197e-7,0.00008546871,0.4866005,0.50881124,0.0009743971,0.00031367724,0.0013166015],"study_design_scores_gemma":[0.00021211209,0.00014626156,0.00334285,0.000012543023,0.000003270657,0.0000048741895,0.000024138837,0.9790234,0.01687213,0.00021191723,0.00005876708,0.00008770959],"about_ca_topic_score_codex":0.0000050285576,"about_ca_topic_score_gemma":0.000010117585,"teacher_disagreement_score":0.49242294,"about_ca_system_score_codex":0.00002598291,"about_ca_system_score_gemma":0.000039142862,"threshold_uncertainty_score":0.41070956},"labels":[],"label_agreement":null},{"id":"W3035826084","doi":"10.1101/2020.06.19.162065","title":"Intracranial recordings reveal ubiquitous in-phase and in-antiphase functional connectivity between homotopic brain regions in humans","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Neuroscience; Functional connectivity; Computer science; Physics; Biology","score_opus":0.03791057922580988,"score_gpt":0.26215291321467765,"score_spread":0.22424233398886778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035826084","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99365485,0.000050814746,0.00073416583,0.0029465258,0.0011039127,0.0010512676,0.00028744832,0.00016107551,0.000009962309],"genre_scores_gemma":[0.99823046,0.00008466568,0.00019723357,0.00069843896,0.00055708137,0.00014657587,0.0000011879572,0.00007858983,0.000005764769],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99606234,0.0004376753,0.00079827115,0.0017215966,0.00036770856,0.0006124234],"domain_scores_gemma":[0.9981541,0.00057782,0.00035787292,0.0005880961,0.000075321856,0.00024680278],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00077641493,0.000528258,0.00079045555,0.0006977453,0.00015412593,0.00021001093,0.0003724072,0.0004823111,0.000019979665],"category_scores_gemma":[0.0017230649,0.0006175645,0.00011020746,0.0011025583,0.00018961776,0.00032473577,0.00047892117,0.001798269,0.000011331],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024136744,0.0003749383,0.10166805,0.00022865372,0.000011718114,0.00065582787,0.000026744001,0.000048884354,0.89534193,0.0012421228,0.00012643835,0.000033317065],"study_design_scores_gemma":[0.0042559067,0.00028908593,0.9476911,0.0005168179,0.000037657395,2.6998916e-7,0.0000050725375,0.0028323994,0.042207535,0.0002692166,0.0008281347,0.0010668425],"about_ca_topic_score_codex":0.00022144052,"about_ca_topic_score_gemma":0.00017833928,"teacher_disagreement_score":0.8531344,"about_ca_system_score_codex":0.00038397018,"about_ca_system_score_gemma":0.00031048202,"threshold_uncertainty_score":0.9996276},"labels":[],"label_agreement":null},{"id":"W3036242526","doi":"10.1177/1059712320924744","title":"Dual exploration strategies using artificial spiking neural networks in a robotic learning task","year":2020,"lang":"en","type":"article","venue":"Adaptive Behavior","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cégep du Vieux Montréal; University of Ottawa","funders":"","keywords":"Thigmotaxis; Context (archaeology); Artificial intelligence; Computer science; Task (project management); Robot; Artificial neural network; Spiking neural network; Psychology; Engineering","score_opus":0.15299117697610948,"score_gpt":0.302366091239206,"score_spread":0.14937491426309651,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036242526","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9393372,0.000009235311,0.059669014,0.00020923128,0.0003434425,0.00029048737,0.0000017083564,0.00008913584,0.000050528146],"genre_scores_gemma":[0.9992943,0.0000026799355,0.00016801228,0.00024333851,0.0002253818,0.000024975665,0.0000063133707,0.00002477143,0.000010222468],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99864006,0.00017527046,0.00026159387,0.00042754,0.0002036129,0.0002919197],"domain_scores_gemma":[0.9996323,0.00007650007,0.000117433425,0.000073473195,0.000026851343,0.00007344378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007831092,0.00016106524,0.00016474375,0.00007141197,0.00018847828,0.00017023651,0.00008441468,0.00006595105,0.000016599573],"category_scores_gemma":[0.00010189297,0.00016455572,0.000053974247,0.00044450036,0.00006189166,0.0008746603,0.00006338564,0.00042585755,0.000008994407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006333372,0.00003820006,0.0006468736,0.0000019660279,6.538843e-7,0.00012566865,0.00027307222,0.5610834,0.43193284,0.0021686398,0.0000012692874,0.0036640875],"study_design_scores_gemma":[0.00016694155,0.00030288947,0.0034423298,0.000012381584,0.000022294738,0.000013368718,0.0009880522,0.9914547,0.0032482937,0.00015524721,0.000006071954,0.00018742024],"about_ca_topic_score_codex":0.00006507177,"about_ca_topic_score_gemma":0.0000644334,"teacher_disagreement_score":0.4303713,"about_ca_system_score_codex":0.00005395786,"about_ca_system_score_gemma":0.000030264844,"threshold_uncertainty_score":0.67103875},"labels":[],"label_agreement":null},{"id":"W3036420223","doi":"10.1038/s41598-020-67258-1","title":"Neuronal On- and Off-type heterogeneities improve population coding of envelope signals in the presence of stimulus-induced noise","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Deutsche Forschungsgemeinschaft; Compute Canada","keywords":"Stimulus (psychology); Neural coding; Neuroscience; Population; Sensory system; Perception; Pooling; Coding (social sciences); Biological system; Computer science; Biology; Artificial intelligence; Psychology; Mathematics; Cognitive psychology; Statistics; Medicine","score_opus":0.0546880610301391,"score_gpt":0.2734067556853443,"score_spread":0.2187186946552052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036420223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980277,0.000010141396,0.000016943899,0.00031861212,0.0012342554,0.00027427252,0.000004402396,0.000009284513,0.00010442658],"genre_scores_gemma":[0.99971855,0.00000420632,0.000012524735,0.00018569545,0.000018829858,0.0000035807882,0.000004002538,0.000005374244,0.00004720979],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998509,0.000105942556,0.0003722789,0.00044587473,0.00044108139,0.000125829],"domain_scores_gemma":[0.9991845,0.00019996296,0.00028528806,0.00023987686,0.00005225139,0.00003816055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005217993,0.00008070327,0.00012944879,0.000076024065,0.000097153585,0.000071578484,0.00011733249,0.000025443382,0.000008024273],"category_scores_gemma":[0.0010597093,0.000058378515,0.000032594744,0.00043805587,0.00012436247,0.00014597582,0.0000635673,0.00008491347,7.238528e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003091371,0.000026574988,0.0039821723,0.00002899345,7.9425047e-7,0.000026822197,0.00036821316,0.00087819604,0.99278563,0.00012087622,0.00006127754,0.0016895548],"study_design_scores_gemma":[0.000108568405,0.0002869255,0.025407474,0.000034403212,0.000005556158,0.000024622655,0.0000655211,0.026786014,0.9458335,0.0012452136,0.0001106029,0.000091568225],"about_ca_topic_score_codex":0.000028529212,"about_ca_topic_score_gemma":0.000007989663,"teacher_disagreement_score":0.04695208,"about_ca_system_score_codex":0.000007249407,"about_ca_system_score_gemma":0.00003262954,"threshold_uncertainty_score":0.23806067},"labels":[],"label_agreement":null},{"id":"W3036783670","doi":"10.1101/2020.06.23.166058","title":"Bridging the gap – Spontaneous fluctuations shape stimulus-evoked spectral power","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Medical Research Council; Horizon 2020 Framework Programme; Directorate for Biological Sciences; Canadian Institutes of Health Research; European Commission","keywords":"Stimulus (psychology); Neuroscience; Neural activity; Psychology; Perception; Magnetoencephalography; Electrophysiology; Cognition; Brain activity and meditation; Electroencephalography; Evoked activity; Cognitive psychology; Stimulation","score_opus":0.025324695639895946,"score_gpt":0.23101205229427757,"score_spread":0.20568735665438162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036783670","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.985954,0.00011159785,0.002118809,0.0058934414,0.0034460044,0.0012005009,0.0003258876,0.00082884013,0.000120911325],"genre_scores_gemma":[0.99581325,0.00008445736,0.00037970155,0.0025993115,0.0008310358,0.000102027545,4.3772323e-7,0.00015673021,0.00003305606],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99617517,0.00028003776,0.0005578985,0.0015379859,0.00071274396,0.00073614635],"domain_scores_gemma":[0.99748,0.0003005634,0.00041854367,0.0013036717,0.00018847777,0.0003087833],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00036386753,0.0006498754,0.0004947111,0.00018738392,0.0005948872,0.00063817564,0.0011002365,0.00030991883,0.0002535963],"category_scores_gemma":[0.00130315,0.00056262926,0.0002798464,0.0007755005,0.00023171771,0.00019284117,0.00074519735,0.0014657029,0.00032062348],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049268754,0.000070340015,0.00009597132,0.000058671336,0.000030446156,0.0007255539,0.000018972967,0.000565669,0.9933657,0.004424994,0.00058929675,0.0000050927124],"study_design_scores_gemma":[0.0012720099,0.0003796231,0.078379974,0.0004387865,0.00037584695,0.0000038002731,0.000009830329,0.33061567,0.57280695,0.00018889288,0.012287644,0.0032409998],"about_ca_topic_score_codex":0.0000255954,"about_ca_topic_score_gemma":0.0000035779447,"teacher_disagreement_score":0.42055878,"about_ca_system_score_codex":0.00028826253,"about_ca_system_score_gemma":0.00041450083,"threshold_uncertainty_score":0.99968255},"labels":[],"label_agreement":null},{"id":"W3036925000","doi":"10.1101/2020.06.17.157669","title":"Spatially-specific working memory activity in the human superior colliculus","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Eye Institute; York University","keywords":"Superior colliculus; Saccade; Population; Working memory; Neuroscience; Computer science; Neuroimaging; Human brain; Receptive field; Eye movement; Artificial intelligence; Psychology; Cognition","score_opus":0.04452278501250821,"score_gpt":0.23947768770709593,"score_spread":0.1949549026945877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036925000","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99455965,0.00009178136,0.00027020084,0.0016098241,0.0017795655,0.0012317607,0.00007725113,0.00030386573,0.000076113516],"genre_scores_gemma":[0.9974692,0.00013558102,0.00014186115,0.0011603091,0.00073920126,0.00023893094,2.0423957e-7,0.00010934312,0.0000053551776],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99603784,0.00062016275,0.0004956251,0.0015321935,0.000692258,0.0006219026],"domain_scores_gemma":[0.9978595,0.00025548675,0.0003675987,0.0012632541,0.00008298236,0.00017121986],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006691283,0.000585223,0.0005578348,0.00022935477,0.0004360419,0.00063648267,0.0012263441,0.0003886267,0.000043497035],"category_scores_gemma":[0.00032283232,0.0005135886,0.00020523698,0.0010388425,0.00019560427,0.00018167925,0.00066019635,0.0017119009,0.000067178626],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003337088,0.00013968992,0.0010956407,0.0000864959,0.000008740966,0.0002621692,0.000033122196,0.00013141977,0.9966473,0.0014143812,0.00013733922,0.000010315854],"study_design_scores_gemma":[0.00071226765,0.00010895645,0.1308729,0.00029760718,0.000041395073,8.509035e-8,0.0000070785954,0.0027235104,0.85597885,0.000018956456,0.00812516,0.0011132339],"about_ca_topic_score_codex":0.000086584274,"about_ca_topic_score_gemma":0.000023461473,"teacher_disagreement_score":0.14066847,"about_ca_system_score_codex":0.00030949037,"about_ca_system_score_gemma":0.00023400318,"threshold_uncertainty_score":0.9997316},"labels":[],"label_agreement":null},{"id":"W3037319475","doi":"10.7554/elife.54540","title":"A Matlab-based toolbox for characterizing behavior of rodents engaged in string-pulling","year":2020,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Canadian Institutes of Health Research; Alberta Innovates; Natural Sciences and Engineering Research Council of Canada; Alzheimer Society","keywords":"Computer science; Kinematics; Software; Computer vision; Artificial intelligence; MATLAB; Simulation; Algorithm; Physics","score_opus":0.09672555787904225,"score_gpt":0.2868854080537032,"score_spread":0.19015985017466097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037319475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99779034,0.0000035280243,0.0010250524,0.000527996,0.00020107439,0.00035093387,0.000042185533,0.000038110607,0.000020778445],"genre_scores_gemma":[0.99757546,0.000002918059,0.0002509593,0.0020160878,0.00006412023,0.00004416491,0.000009274632,0.00001479612,0.000022246833],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99911124,0.00008579343,0.00022485068,0.0002439457,0.00017531744,0.00015885285],"domain_scores_gemma":[0.9995026,0.00023657773,0.00009612849,0.00009019881,0.000021800364,0.000052703785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021175794,0.000081593374,0.00013669858,0.000052107975,0.00008316483,0.00002673048,0.000104220184,0.0000341125,0.000013074548],"category_scores_gemma":[0.0009031915,0.000081360195,0.000054530603,0.00018076543,0.000015115746,0.00009731045,0.000021550242,0.00020327447,0.0000061244777],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007330973,0.000050003113,0.0038285865,0.00003706056,5.520981e-7,0.000009052093,0.00013167333,0.00013139515,0.994724,0.0000961191,0.00001827412,0.0008999719],"study_design_scores_gemma":[0.0008364303,0.00015744327,0.016236164,0.000035650322,0.000007723449,0.0000010351332,0.000040486997,0.034311026,0.9476692,0.0000064231563,0.00058347214,0.0001149507],"about_ca_topic_score_codex":0.000007596503,"about_ca_topic_score_gemma":0.0000027641577,"teacher_disagreement_score":0.04705481,"about_ca_system_score_codex":0.000017139433,"about_ca_system_score_gemma":0.000022050443,"threshold_uncertainty_score":0.33177724},"labels":[],"label_agreement":null},{"id":"W3037447448","doi":"10.3389/fams.2022.818799","title":"On Lyapunov Exponents for RNNs: Understanding Information Propagation Using Dynamical Systems Tools","year":2022,"lang":"en","type":"article","venue":"Frontiers in Applied Mathematics and Statistics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"Natural Sciences and Engineering Research Council of Canada; Institut de Valorisation des Données; Fonds de recherche du Québec – Nature et technologies; University of Washington; Canadian Institute for Advanced Research; Netherlands eScience Center; Washington Research Foundation; National Science Foundation","keywords":"Recurrent neural network; Computer science; Dynamical systems theory; Attractor; Lyapunov exponent; Lyapunov function; Initialization; Hyperparameter; Leverage (statistics); Artificial intelligence; Mathematics; Artificial neural network; Chaotic; Nonlinear system","score_opus":0.062180424077561906,"score_gpt":0.25714848694861037,"score_spread":0.19496806287104845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037447448","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018905256,0.0000042770284,0.97822356,0.000018392711,0.0007932793,0.0010854203,0.0005409625,0.000026627047,0.00040222166],"genre_scores_gemma":[0.7434947,0.000014356767,0.25582445,0.00016996718,0.00002249143,0.00026127792,0.00015123909,0.000027525488,0.000033975262],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988892,0.00002384666,0.00037547262,0.0001902913,0.00031822012,0.00020298114],"domain_scores_gemma":[0.9992949,0.00032150658,0.00021713262,0.000113231705,0.000013626949,0.00003962773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002906201,0.00013028926,0.00019832207,0.0001891842,0.00035977684,0.00016053677,0.00009235722,0.000038743183,0.000003581222],"category_scores_gemma":[0.00019527497,0.00012941594,0.000017671826,0.00016842042,0.00004105043,0.00012450792,0.00005760536,0.00014640696,7.773871e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010022365,0.00008550866,0.000008607198,0.00028723353,0.0000051567213,0.0000020843763,0.00044647683,0.015093621,0.004650346,0.9743502,0.00090776815,0.0040627504],"study_design_scores_gemma":[0.00050410867,0.000089317975,0.0000036590147,0.000019548981,0.000010593324,0.0000063652087,0.0015923483,0.8422707,0.00009140973,0.15513182,0.00015070186,0.00012944016],"about_ca_topic_score_codex":0.000001942013,"about_ca_topic_score_gemma":4.7692413e-7,"teacher_disagreement_score":0.82717705,"about_ca_system_score_codex":0.00039593258,"about_ca_system_score_gemma":0.000025110123,"threshold_uncertainty_score":0.5277429},"labels":[],"label_agreement":null},{"id":"W3037771509","doi":"10.1007/s00366-020-01086-9","title":"An efficient space-splitting method for simulating brain neurons by neuronal synchronization to control epileptic activity","year":2020,"lang":"en","type":"article","venue":"Engineering With Computers","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Synchronization (alternating current); Neuroscience; Space (punctuation); Control (management); Premovement neuronal activity; Computer science; Biological system; Mathematics; Topology (electrical circuits); Biology; Artificial intelligence; Combinatorics","score_opus":0.010523027379317366,"score_gpt":0.23785700874257681,"score_spread":0.22733398136325944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037771509","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.337637,8.139222e-7,0.6587866,0.002703613,0.0002516908,0.00040565603,0.000017136656,0.00019543876,0.0000020367504],"genre_scores_gemma":[0.95622295,9.194211e-8,0.04036077,0.003177805,0.0001555018,0.000022068589,0.000005385097,0.00005042195,0.0000049916443],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99865675,0.00008537631,0.00015199512,0.00056150445,0.00021657301,0.0003278137],"domain_scores_gemma":[0.99815917,0.0013660096,0.00007147758,0.00014791108,0.000028989956,0.00022645225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001571797,0.00019898303,0.00019088975,0.00006194282,0.00014082374,0.000125676,0.0001797662,0.000032041527,0.000001867681],"category_scores_gemma":[0.0006255346,0.00019290118,0.000045755787,0.00034163395,0.000011246044,0.00012415525,0.000038143502,0.00016381968,0.0000023221646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043851287,0.000018136992,0.000015283336,0.000023817021,0.000002851298,0.0000023801076,0.00008398255,0.6481865,0.34696886,0.00013875465,0.000081117396,0.004434443],"study_design_scores_gemma":[0.0006300599,0.00073307945,0.00035065066,0.000023713803,0.000009878226,0.000004822944,0.0000032328921,0.98660237,0.010886224,0.0000013607059,0.0005447414,0.00020986279],"about_ca_topic_score_codex":0.0000033915405,"about_ca_topic_score_gemma":2.8418572e-7,"teacher_disagreement_score":0.61858594,"about_ca_system_score_codex":0.00004765378,"about_ca_system_score_gemma":0.000017433062,"threshold_uncertainty_score":0.7866282},"labels":[],"label_agreement":null},{"id":"W3037999035","doi":"10.1016/j.tics.2020.06.003","title":"Bring the Noise: Reconceptualizing Spontaneous Neural Activity","year":2020,"lang":"en","type":"review","venue":"Trends in Cognitive Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":181,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Mental Health; Canadian Institute for Advanced Research; University of Miami","keywords":"Psychology; Cognitive science; Noise (video); Cognitive psychology; Artificial intelligence; Computer science","score_opus":0.3584010466176939,"score_gpt":0.4397665643415979,"score_spread":0.08136551772390399,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037999035","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0047795926,0.9643383,0.000023696008,0.0007346363,0.0022378122,0.000762822,0.00017751777,0.00017241268,0.026773233],"genre_scores_gemma":[0.06320705,0.93511254,0.000010546369,0.0005189684,0.0002707078,0.000054108652,0.0000070507513,0.000031941167,0.00078705914],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99651545,0.0007838342,0.000405856,0.0012289735,0.00053652626,0.000529336],"domain_scores_gemma":[0.9965935,0.0027357088,0.00038061893,0.00017825731,0.000022185492,0.00008974421],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00054169714,0.00042822628,0.00084323366,0.00037963246,0.0005066015,0.00030768986,0.00077336805,0.00011906051,0.00017045709],"category_scores_gemma":[0.0011700969,0.00026587554,0.0003295688,0.0029685316,0.0010037626,0.0003420935,0.00028509388,0.0008495616,0.00007126356],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000071774452,0.00002036866,0.0000031133013,0.00011914014,0.0000036591143,0.00044449154,0.00010659448,0.000004071204,0.000047328987,0.00011165112,0.000025086789,0.9991073],"study_design_scores_gemma":[0.0006556115,0.0008989374,0.000231509,0.009878407,0.00048577233,0.0059820646,0.0005041599,0.013203159,0.0003832858,0.00048027915,0.9649626,0.0023342005],"about_ca_topic_score_codex":0.000041013995,"about_ca_topic_score_gemma":0.000094188326,"teacher_disagreement_score":0.9967731,"about_ca_system_score_codex":0.00009819616,"about_ca_system_score_gemma":0.00013063959,"threshold_uncertainty_score":0.9999793},"labels":[],"label_agreement":null},{"id":"W3039141602","doi":"10.20944/preprints202007.0053.v1","title":"Rodent Somatosensory Thalamocortical Circuitry: Neurons, Synapses, and Connectivity","year":2020,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health; McGill University; Montreal Neurological Institute and Hospital","funders":"Board of the Swiss Federal Institutes of Technology; École Polytechnique Fédérale de Lausanne; McGill University","keywords":"Neuroscience; Somatosensory system; Computer science; Neuroanatomy; Systems neuroscience; Cognitive science; Psychology; Central nervous system","score_opus":0.14729795064427267,"score_gpt":0.32368808095531576,"score_spread":0.1763901303110431,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039141602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99016726,0.000035205347,0.00013306092,0.0032212043,0.0014582154,0.0009382185,0.0000737437,0.00046482045,0.0035082486],"genre_scores_gemma":[0.99747646,0.00027829633,0.000015837315,0.0015021089,0.00023185357,0.00010824894,0.000015313479,0.00007228049,0.00029961427],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99561137,0.0005132201,0.0005225874,0.0023074488,0.00053335953,0.00051198585],"domain_scores_gemma":[0.9976643,0.00048496574,0.0003107485,0.0011220996,0.00005145635,0.00036643288],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030607262,0.0005194836,0.0006144944,0.00011684126,0.00022363894,0.00010192036,0.00058566296,0.00036167193,0.00021372508],"category_scores_gemma":[0.0025335646,0.0005312864,0.00021678394,0.00017451645,0.0002995823,0.00014902967,0.0032902996,0.0016868603,0.0005643135],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009194599,0.00024073634,0.24831608,0.00032513397,0.000037422265,0.000312876,0.00017146139,0.00016728137,0.7403842,0.008642263,0.00006123531,0.001249332],"study_design_scores_gemma":[0.00050255534,0.00007544805,0.77808756,0.00010969674,0.00009978175,0.00022830958,0.000028184793,0.011914362,0.19001105,0.016891431,0.0012117017,0.0008399288],"about_ca_topic_score_codex":0.00008407873,"about_ca_topic_score_gemma":0.0000102598815,"teacher_disagreement_score":0.5503732,"about_ca_system_score_codex":0.00010149731,"about_ca_system_score_gemma":0.00013505173,"threshold_uncertainty_score":0.9997139},"labels":[],"label_agreement":null},{"id":"W3039401844","doi":"10.1016/j.neuroimage.2020.117130","title":"The effect of movie-watching on electroencephalographic responses to tactile stimulation","year":2020,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hotchkiss Brain Institute; Alberta Children's Hospital; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Children's Hospital Research Institute; Mathison Centre for Mental Health Research and Education; Canada Foundation for Innovation; Hotchkiss Brain Institute, University of Calgary","keywords":"Somatosensory system; Crossmodal; Psychology; Electroencephalography; Sensory stimulation therapy; Stimulation; Audiology; Neuroscience; Somatosensory evoked potential; Neuroimaging; Cognitive psychology; Perception; Visual perception; Medicine","score_opus":0.023689799345624575,"score_gpt":0.2753924649997085,"score_spread":0.2517026656540839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039401844","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949309,0.000004487753,0.00020790011,0.0036249459,0.00020106678,0.0003644433,0.000007887422,0.000072069066,0.00058629655],"genre_scores_gemma":[0.99707085,0.000011878646,0.000010213648,0.002739617,0.000053374046,0.000012595639,8.4468525e-7,0.000016572636,0.00008407089],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99860734,0.00041262625,0.00016021404,0.0003403209,0.00027602178,0.00020345839],"domain_scores_gemma":[0.9978194,0.0018016258,0.000077116085,0.00020675153,0.000015506583,0.00007957678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016903812,0.00011869645,0.000120265344,0.00006244146,0.00022607918,0.00006243354,0.00021319473,0.000021707498,0.0000072583025],"category_scores_gemma":[0.002494998,0.00007827616,0.000074871525,0.0005052024,0.000048062324,0.00010247134,0.000048293816,0.00020382182,0.000034131048],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009938482,0.000008692837,0.0012968105,0.000008953321,0.0000010660617,0.000013647749,0.000037083228,0.0007759728,0.9904351,0.00025964231,0.00029119535,0.005877981],"study_design_scores_gemma":[0.0004596803,0.0062699676,0.04311397,0.000014118113,0.000012595868,0.000008723098,0.0000041634503,0.023211658,0.9227311,0.00018613222,0.0038381643,0.00014970136],"about_ca_topic_score_codex":0.000004750508,"about_ca_topic_score_gemma":0.0000013640588,"teacher_disagreement_score":0.06770398,"about_ca_system_score_codex":0.000008688433,"about_ca_system_score_gemma":0.000008485431,"threshold_uncertainty_score":0.31920093},"labels":[],"label_agreement":null},{"id":"W3040097459","doi":"10.1016/j.pneurobio.2020.101878","title":"Neural oscillations and brain stimulation in Alzheimer’s disease","year":2020,"lang":"en","type":"review","venue":"Progress in Neurobiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":181,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; Alzheimer Society; Canadian Institutes of Health Research; Alberta Innovates; Alberta Innovates - Health Solutions; Canadian Institute for Advanced Research","keywords":"Neuroscience; Psychology; Human brain; Stimulation; Brain stimulation; Electroencephalography; Cognition; Neurophysiology; Resting state fMRI; Alzheimer's disease; Brain activity and meditation; Disease; Medicine; Internal medicine","score_opus":0.08790558421373776,"score_gpt":0.3601757182605087,"score_spread":0.2722701340467709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040097459","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023396553,0.9939296,0.0000030729004,0.0014780366,0.00063959335,0.0014086781,0.00008454886,0.00008031534,0.00003646643],"genre_scores_gemma":[0.033172607,0.96565247,0.000018885692,0.0006741079,0.00010153941,0.0002136862,0.00010167197,0.00005216172,0.000012887637],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99716645,0.0008442688,0.0005768793,0.0009662328,0.00009416782,0.0003520189],"domain_scores_gemma":[0.9984242,0.0009565656,0.00025112895,0.00023174437,0.000010729941,0.00012567705],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011698323,0.00035671538,0.0008105232,0.00036517397,0.000066153094,0.00005461764,0.00024095498,0.0001885117,0.000011207219],"category_scores_gemma":[0.000576838,0.0003075864,0.000115209485,0.00069160736,0.00023843975,0.00012077702,0.00023112762,0.0005797538,0.000016325897],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028816012,0.000054238382,0.0020953536,0.000604963,0.0000037483767,0.00019036641,0.000015897462,0.0000587701,0.0000095563255,0.0009423265,0.00003095205,0.995965],"study_design_scores_gemma":[0.00078882725,0.0003568633,0.006625704,0.0015992787,0.00021353361,0.00015584813,0.0000018966185,0.035723127,0.000002992903,0.0009152382,0.95267504,0.0009416498],"about_ca_topic_score_codex":0.0000025544246,"about_ca_topic_score_gemma":0.000012105842,"teacher_disagreement_score":0.99502337,"about_ca_system_score_codex":0.00003647496,"about_ca_system_score_gemma":0.00007548703,"threshold_uncertainty_score":0.9999376},"labels":[],"label_agreement":null},{"id":"W3040396199","doi":"10.1101/2020.07.03.187146","title":"Behavioral and neural fusion of expectation with sensation","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Defense Science and Engineering Graduate; National Institutes of Health; Canadian Institute for Advanced Research","keywords":"Perception; Psychology; Sensation; Stimulus (psychology); Sensory system; Associative property; Cognitive psychology; Neuroscience; Mathematics","score_opus":0.02863386926526452,"score_gpt":0.23561001728589126,"score_spread":0.20697614802062675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040396199","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974716,0.000032810934,0.0009614358,0.0002958545,0.00047690002,0.0005008945,0.00008469587,0.00017248164,0.0000033563601],"genre_scores_gemma":[0.99873716,0.000050027684,0.00083953276,0.00015205833,0.00012284251,0.00003935029,3.8717192e-7,0.00005706001,0.0000015600143],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981913,0.00012005724,0.0003195509,0.00078711455,0.00036862044,0.00021336474],"domain_scores_gemma":[0.99885315,0.00005853528,0.00041287826,0.00038573862,0.00015835022,0.00013133907],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000103005696,0.0003012176,0.00031174484,0.00015043713,0.000110643305,0.00010400375,0.00016209114,0.0001893399,0.000008374161],"category_scores_gemma":[0.000119646196,0.00028120552,0.000055405282,0.0003371248,0.00012319945,0.00018391562,0.00021768513,0.0003938859,0.0000034098339],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008125765,0.00005649129,0.0024585575,0.00013501699,0.0000050282065,0.0000292443,0.00002192852,0.00009950894,0.9967824,0.00031077958,0.000011588532,0.000008201163],"study_design_scores_gemma":[0.0004764727,0.00033066544,0.085775994,0.00013533156,0.00007519059,7.215796e-8,0.0000052721557,0.018412745,0.89428693,0.0000046241726,0.00006577931,0.00043095154],"about_ca_topic_score_codex":0.00003522991,"about_ca_topic_score_gemma":0.0000021868468,"teacher_disagreement_score":0.10249549,"about_ca_system_score_codex":0.000059587528,"about_ca_system_score_gemma":0.00009700767,"threshold_uncertainty_score":0.999964},"labels":[],"label_agreement":null},{"id":"W3040453022","doi":"10.1371/journal.pbio.3000789","title":"Resting-state brain and spinal cord networks in humans are functionally integrated","year":2020,"lang":"en","type":"article","venue":"PLoS Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; McGill University; Montreal Neurological Institute and Hospital; Polytechnique Montréal; Institut Universitaire de Gériatrie de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Courtois Foundation","keywords":"Spinal cord; Neuroscience; Biology; Central nervous system; Sensory system; Resting state fMRI; Brain mapping; Anatomy","score_opus":0.06587227531723717,"score_gpt":0.27506244832488774,"score_spread":0.20919017300765058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040453022","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919184,0.000032149106,0.0010168771,0.006328169,0.00019760268,0.00013914704,0.000016739243,0.00007210067,0.00027883804],"genre_scores_gemma":[0.9911146,0.000030499112,0.000036809477,0.008572098,0.00009169305,0.000009877353,0.000014733159,0.000009869676,0.0001197801],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990019,0.00014936655,0.00017420365,0.00041629202,0.000050446033,0.00020774384],"domain_scores_gemma":[0.9995584,0.00019912128,0.000079911646,0.00007290339,0.00002264228,0.00006704298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007450439,0.000108694105,0.00015039426,0.000053340897,0.000072829964,0.00002280874,0.00009787337,0.000068322384,0.000029337376],"category_scores_gemma":[0.0008411593,0.00009091728,0.000019959165,0.00026411173,0.00011791758,0.000050656774,0.00006851534,0.00027776233,0.000012100198],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020068383,0.00010958617,0.09297515,0.000035634526,0.000010189337,0.00012708454,0.00007831017,0.0007432919,0.8810919,0.005387323,0.0013935174,0.016041214],"study_design_scores_gemma":[0.0029993788,0.009881317,0.42484584,0.00019605416,0.000025519348,0.0000802253,0.00014375725,0.51984423,0.006840603,0.01014953,0.023937108,0.0010564032],"about_ca_topic_score_codex":0.000020474563,"about_ca_topic_score_gemma":0.00010534837,"teacher_disagreement_score":0.87425125,"about_ca_system_score_codex":0.000016222257,"about_ca_system_score_gemma":0.000014650843,"threshold_uncertainty_score":0.3707499},"labels":[],"label_agreement":null},{"id":"W3041311466","doi":"10.1101/2020.07.10.194647","title":"Cognitive and Neural State Dynamics of Story Comprehension","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Institute for Basic Science; National Research Foundation","keywords":"Default mode network; Cognition; Narrative; Comprehension; Construct (python library); Cognitive psychology; Psychology; Feeling; Dynamics (music); Cognitive science; Neuroimaging; Computer science; Neuroscience; Linguistics; Social psychology","score_opus":0.026929932609726297,"score_gpt":0.23283634636151287,"score_spread":0.2059064137517866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041311466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947748,0.00016481457,0.0015135092,0.0006210969,0.0011796394,0.0006489522,0.00085999945,0.0002300649,0.0000070874476],"genre_scores_gemma":[0.9986528,0.00025121545,0.00023622756,0.00063248654,0.000100609184,0.000030179837,6.7801574e-7,0.00009078586,0.0000049928944],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974135,0.00029732156,0.00041727588,0.0011094217,0.00040499467,0.00035747464],"domain_scores_gemma":[0.99821335,0.0003198882,0.00051278854,0.00045655455,0.00025488768,0.00024251321],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020111009,0.0004522503,0.0005551893,0.00018862702,0.000163809,0.00011111129,0.00030553993,0.00023437278,0.000011080633],"category_scores_gemma":[0.0005444502,0.00047654426,0.00011672608,0.000350628,0.00031698248,0.00015826123,0.0007456469,0.0009987955,0.00001042838],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000118806,0.00007183276,0.0012118858,0.00040434382,0.000024833149,0.00007592609,0.0000124688795,0.0001117834,0.99715513,0.00074621977,0.000045167457,0.000021574757],"study_design_scores_gemma":[0.0014239372,0.00044167312,0.114583015,0.0006960092,0.00019681755,1.3834034e-7,0.000010816956,0.25165778,0.6291392,0.000057775604,0.0003575061,0.0014353774],"about_ca_topic_score_codex":0.00002212346,"about_ca_topic_score_gemma":0.0000031053569,"teacher_disagreement_score":0.368016,"about_ca_system_score_codex":0.00011204465,"about_ca_system_score_gemma":0.00016173774,"threshold_uncertainty_score":0.9997686},"labels":[],"label_agreement":null},{"id":"W3041617726","doi":"10.1073/pnas.2001348117","title":"Fast spiking interneuron activity in primate striatum tracks learning of attention cues","year":2020,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; Government of Canada","keywords":"Neuroscience; Interneuron; Striatum; Primate; Control reconfiguration; Flexibility (engineering); Psychology; Sensory cue; Biological neural network; Biology; Computer science","score_opus":0.06445041827342678,"score_gpt":0.3117666003595906,"score_spread":0.2473161820861638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041617726","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955685,0.000005026514,0.000007219858,0.002834656,0.000028973336,0.00012305773,0.0000043472314,0.000011133729,0.001417061],"genre_scores_gemma":[0.9996843,0.0000154014,0.00006641299,0.00016219974,0.000030308775,0.0000020737364,3.9429167e-8,0.0000032738915,0.000036012403],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99858975,0.0000176661,0.0002660431,0.00025958146,0.00075365836,0.00011330469],"domain_scores_gemma":[0.9992519,0.00012058195,0.0005328593,0.0000043729187,0.0000688147,0.000021461316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058238767,0.00007174956,0.00013331404,0.00012083696,0.00008639287,0.00002257881,0.0004375177,0.000042282634,0.000004002034],"category_scores_gemma":[0.0013539717,0.000052369367,0.00006267764,0.0007870801,0.00031624266,0.00059578766,0.0001402818,0.0002555739,5.066989e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003173778,0.000028350461,0.015433999,0.00006169487,0.0000010212005,7.4864905e-9,0.00012993602,0.0005233187,0.9766457,0.0059900847,0.000008778296,0.0011453858],"study_design_scores_gemma":[0.00013361912,0.00010918358,0.121651545,0.0000787801,0.0000032605346,0.0000016346385,0.00007458806,0.043494914,0.83196366,0.0024260401,0.000014015766,0.000048759044],"about_ca_topic_score_codex":0.000004301985,"about_ca_topic_score_gemma":6.437203e-8,"teacher_disagreement_score":0.14468202,"about_ca_system_score_codex":0.000020420826,"about_ca_system_score_gemma":0.000012675033,"threshold_uncertainty_score":0.21355608},"labels":[],"label_agreement":null},{"id":"W3041848290","doi":"10.1038/s41467-020-17255-9","title":"Brain meta-state transitions demarcate thoughts across task contexts exposing the mental noise of trait neuroticism","year":2020,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children; Queen's University","funders":"National Institute of Mental Health; McDonnell Center for Systems Neuroscience; Government of Canada; National Institutes of Health; Canada Foundation for Innovation; Natural Sciences and Engineering Research Council of Canada; Queen's University; NIH Blueprint for Neuroscience Research; Canada Research Chairs","keywords":"Cognitive psychology; Transition (genetics); Trait; Psychology; Narrative; Prior probability; Task (project management); Computer science; Artificial intelligence; Linguistics","score_opus":0.06498098628976576,"score_gpt":0.3217283964073239,"score_spread":0.2567474101175582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041848290","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43094802,0.002593131,0.003683654,0.5547717,0.0006935804,0.0020970162,0.0026806851,0.00031402463,0.0022181931],"genre_scores_gemma":[0.9841003,0.00014254412,0.00034823973,0.015149759,0.000036049834,0.00005998917,0.000045660945,0.000024767842,0.000092725204],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983513,0.00047375614,0.0003644851,0.00030402662,0.00027096714,0.00023548772],"domain_scores_gemma":[0.99762785,0.0010226205,0.0001875641,0.0009887844,0.00007707829,0.000096122036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023524468,0.00017836456,0.00025259063,0.000034102246,0.0008684518,0.0000800452,0.0012701218,0.00009689001,0.000015875803],"category_scores_gemma":[0.0004934951,0.00012547501,0.0002660197,0.00059144176,0.00042464587,0.00023293118,0.00024877564,0.00096635235,0.000008083035],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044324046,0.00014495253,0.000014451557,0.000012795082,0.00007201481,0.0000029377445,0.005052682,0.00021371216,0.9781096,0.01241462,0.0019004272,0.0020175013],"study_design_scores_gemma":[0.0043394864,0.0009074794,0.022133855,0.00011448626,0.0017341325,0.00025116242,0.0017369279,0.12117283,0.49236283,0.011652342,0.34186202,0.0017324456],"about_ca_topic_score_codex":0.000009540773,"about_ca_topic_score_gemma":0.00021033276,"teacher_disagreement_score":0.55315226,"about_ca_system_score_codex":0.000017984874,"about_ca_system_score_gemma":0.00002970517,"threshold_uncertainty_score":0.6679517},"labels":[],"label_agreement":null},{"id":"W3041927952","doi":"10.1101/2020.07.11.198564","title":"Bayesian Decoder Models with a Discriminative Observation Process","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Discriminative model; Encoder; State space; Artificial intelligence; Decoding methods; ENCODE; Encoding (memory); Bayesian inference; Dynamical systems theory; Autoencoder; Bayesian probability; Algorithm; Pattern recognition (psychology); Artificial neural network; Mathematics; Physics","score_opus":0.044919745817427324,"score_gpt":0.24419125519226514,"score_spread":0.1992715093748378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041927952","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.879187,0.000043082306,0.11552044,0.0020181907,0.0007679649,0.0014292316,0.0002644589,0.00071054866,0.000059098074],"genre_scores_gemma":[0.9949858,0.000045285276,0.0029032829,0.0013559998,0.0002265991,0.0003212496,5.552233e-7,0.00015206363,0.000009167184],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9967402,0.00015350763,0.00041128704,0.0015816555,0.0006270268,0.00048628062],"domain_scores_gemma":[0.9980609,0.0000944086,0.0004724273,0.0007378016,0.00036121628,0.00027327926],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000171626,0.0005884555,0.0004750877,0.00016808366,0.00024438708,0.00034778472,0.00059518265,0.0002967172,0.0000163626],"category_scores_gemma":[0.0003281559,0.0005232955,0.00010435516,0.00075536454,0.00014356412,0.0005992343,0.00029859456,0.00085357676,0.00002202126],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018390175,0.00019970648,0.0008869227,0.0006989402,0.000047050376,0.0001382367,0.00008349876,0.0073415153,0.9792146,0.011097642,0.000102848586,0.0000051527086],"study_design_scores_gemma":[0.0007087361,0.0002381241,0.010517776,0.0005242755,0.00014792921,5.5425e-8,0.000010133335,0.39896607,0.5867839,0.0005053545,0.0002179737,0.001379659],"about_ca_topic_score_codex":0.000020089296,"about_ca_topic_score_gemma":0.000004282721,"teacher_disagreement_score":0.3924307,"about_ca_system_score_codex":0.00018602045,"about_ca_system_score_gemma":0.00044589897,"threshold_uncertainty_score":0.9997219},"labels":[],"label_agreement":null},{"id":"W3042052146","doi":"","title":"The priming effect of rewards and the role of dopamine transmission","year":2019,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies; Fonds de Recherche du Québec - Santé; Concordia University","keywords":"Dopamine; Priming (agriculture); Stimulation; Psychology; Neuroscience; Electrical brain stimulation; Brain stimulation; Brain stimulation reward; Cognitive psychology; Biology; Nucleus accumbens","score_opus":0.012206596094941269,"score_gpt":0.25677508200876337,"score_spread":0.2445684859138221,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042052146","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9555215,0.00038650303,0.000008921581,0.00014082358,0.00043519711,0.0008209499,0.0000044344692,0.000017044835,0.042664595],"genre_scores_gemma":[0.9670263,0.0009056919,8.5788616e-7,0.000001600672,0.000049960097,0.0000024023057,0.0000063864713,0.000021805483,0.031984977],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9967975,0.0014545653,0.00024703247,0.00043463244,0.00074015505,0.00032611593],"domain_scores_gemma":[0.9959856,0.0030810537,0.0002850821,0.00045789834,0.000113702976,0.000076633325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010801263,0.00018492636,0.0003667275,0.00033693053,0.0006986452,0.0000639846,0.0006157599,0.00015931779,0.000004161365],"category_scores_gemma":[0.00033260701,0.00011026178,0.00019418162,0.0006191434,0.00064676034,0.00012217805,0.00010936175,0.0007358947,0.0000017269793],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0073229983,0.00002930542,0.0019144854,0.00040715022,0.00004615053,0.000033512813,0.00037108304,0.000012763654,0.9540225,0.008704344,0.00002139234,0.027114276],"study_design_scores_gemma":[0.0012543417,0.0009219079,0.0036009399,0.00018658601,0.00007557726,0.000014110585,0.00080068386,0.0018759364,0.979455,0.00041570913,0.011259565,0.0001396759],"about_ca_topic_score_codex":0.0022887513,"about_ca_topic_score_gemma":0.0003223172,"teacher_disagreement_score":0.0269746,"about_ca_system_score_codex":0.00009731823,"about_ca_system_score_gemma":0.00023089256,"threshold_uncertainty_score":0.53734845},"labels":[],"label_agreement":null},{"id":"W3042083399","doi":"10.71781/18248","title":"Étude électrophysiologique du balayage de la mémoire à court terme acoustique : décours temporel et effet de force de la trace mnésique","year":2019,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Physics; Humanities; Materials science; Philosophy","score_opus":0.010661323396563237,"score_gpt":0.30372116541503363,"score_spread":0.2930598420184704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042083399","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9774226,0.000054693748,0.0045270906,0.0010634047,0.00062566024,0.001707553,0.000228694,0.000019991516,0.014350342],"genre_scores_gemma":[0.9681144,0.000859825,0.0032127544,0.001103844,0.00018748331,0.0001996006,0.00032894994,0.00014753854,0.025845606],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9933463,0.0034261388,0.0005725473,0.0013000519,0.00034411773,0.0010108495],"domain_scores_gemma":[0.9954467,0.0028980917,0.00062955526,0.0006057585,0.0001102259,0.0003096726],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0028019124,0.00076230697,0.00073778455,0.00015302989,0.00044950674,0.000941039,0.0014848075,0.0014990278,0.00025771672],"category_scores_gemma":[0.0012848758,0.00074852625,0.00030274116,0.0003290444,0.00035037345,0.000565049,0.00023731854,0.0021005452,0.00012099467],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006423399,0.00040404077,0.0028093792,0.00018923567,0.000046185316,0.00058796105,0.0021281505,0.009782938,0.97521365,0.0014466848,0.0006471426,0.006102272],"study_design_scores_gemma":[0.0029810627,0.0023507716,0.3163427,0.0015578971,0.00044435178,0.0017479783,0.0016096883,0.18437652,0.4709964,0.0027760903,0.012234535,0.0025819733],"about_ca_topic_score_codex":0.00087296014,"about_ca_topic_score_gemma":0.00045805104,"teacher_disagreement_score":0.50421727,"about_ca_system_score_codex":0.0007837493,"about_ca_system_score_gemma":0.0021786832,"threshold_uncertainty_score":0.9997972},"labels":[],"label_agreement":null},{"id":"W3042322495","doi":"10.1101/2020.07.14.202101","title":"Distinct patterns of activity in individual cortical neurons and local networks in primary somatosensory cortex of mice evoked by mechanical limb stimulation","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Alberta Innovates","keywords":"Somatosensory system; Neuroscience; Stimulation; Stimulus (psychology); Sensory stimulation therapy; Sensory system; Population; Forelimb; Calcium imaging; Visual cortex; Premovement neuronal activity; Somatosensory evoked potential; Secondary somatosensory cortex; Biology; Psychology; Chemistry; Medicine; Calcium","score_opus":0.022270669428129854,"score_gpt":0.2279719693110015,"score_spread":0.20570129988287164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042322495","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99221194,0.000041573738,0.0061316807,0.00011740858,0.00036119035,0.00063954206,0.00043254654,0.00006284284,0.0000012976751],"genre_scores_gemma":[0.999523,0.0000851589,0.00008568239,0.00016743256,0.000048297996,0.000031070038,0.0000015349311,0.00005741306,4.3405873e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9969277,0.0004981942,0.0007272521,0.0010191378,0.00045286998,0.0003748929],"domain_scores_gemma":[0.99822277,0.00059886154,0.0005085949,0.00042326894,0.00007105668,0.00017546413],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00035774324,0.0003790746,0.0007100903,0.00020266368,0.000046523666,0.00004659495,0.0003235344,0.00042496013,0.0000049274313],"category_scores_gemma":[0.0005258771,0.0004187707,0.00009040798,0.0004471771,0.0001931477,0.00014483243,0.0006393962,0.0011965733,7.8972994e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026060408,0.00036088558,0.052023936,0.00034447323,0.000011324442,0.00005251409,0.00000576691,0.0006320972,0.94607854,0.00020774236,0.000006269051,0.000015832939],"study_design_scores_gemma":[0.00063032674,0.00016231259,0.75958085,0.00018049631,0.000037443402,4.8446505e-8,0.000001099858,0.115700565,0.12341682,0.000004855162,0.0000037066254,0.00028144586],"about_ca_topic_score_codex":0.00010460439,"about_ca_topic_score_gemma":0.000018442599,"teacher_disagreement_score":0.82266176,"about_ca_system_score_codex":0.00013257767,"about_ca_system_score_gemma":0.0001865525,"threshold_uncertainty_score":0.99982643},"labels":[],"label_agreement":null},{"id":"W3042744835","doi":"10.1093/texcom/tgaa030","title":"Hierarchical Organization of Corticothalamic Projections to the Pulvinar","year":2020,"lang":"en","type":"article","venue":"Cerebral Cortex Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Neuroscience; Thalamus; Hierarchy; Visual system; Hierarchical organization; Cortical neurons; Visual cortex; Extrastriate cortex; Biology","score_opus":0.05423564290905501,"score_gpt":0.27844172954732954,"score_spread":0.22420608663827452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042744835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89544606,0.000016038504,0.0064644427,0.09252375,0.0003040271,0.00090427574,0.00005385566,0.00019737164,0.0040901965],"genre_scores_gemma":[0.99541545,0.00003999731,0.00049278734,0.0037256763,0.000040920964,0.000027330725,0.00002751883,0.00001918957,0.00021112333],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989908,0.0001969116,0.00027227445,0.00022627626,0.00017143342,0.00014231777],"domain_scores_gemma":[0.9985412,0.00024370522,0.000104164974,0.00090535934,0.00011111649,0.00009446466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000061444574,0.00009313301,0.00011409941,0.000052599597,0.00045503821,0.000045994184,0.0009759843,0.00003149117,0.00005597531],"category_scores_gemma":[0.0011564558,0.00007187628,0.000047388698,0.0013965395,0.00016848945,0.000113947724,0.00044826363,0.0002565535,0.00011540486],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002696051,0.00028410513,0.0077885017,0.00002395358,0.000014537335,0.0000011700504,0.0019433167,0.0003419837,0.83007425,0.14498056,0.0056998064,0.008820878],"study_design_scores_gemma":[0.0017795225,0.0018976119,0.5520696,0.000113721835,0.00024969425,0.0001922055,0.0012999211,0.23257776,0.09661275,0.008147188,0.103645936,0.0014140938],"about_ca_topic_score_codex":0.000025219335,"about_ca_topic_score_gemma":0.000042547545,"teacher_disagreement_score":0.7334615,"about_ca_system_score_codex":0.00002592965,"about_ca_system_score_gemma":0.000060654642,"threshold_uncertainty_score":0.34998322},"labels":[],"label_agreement":null},{"id":"W3043303392","doi":"10.3389/fncir.2020.00042","title":"Automated Curation of CNMF-E-Extracted ROI Spatial Footprints and Calcium Traces Using Open-Source AutoML Tools","year":2020,"lang":"en","type":"article","venue":"Frontiers in Neural Circuits","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research; Vector Institute; Hospital for Sick Children; University of Toronto","funders":"Canadian Institutes of Health Research; National Institutes of Health; Hospital for Sick Children; Compute Canada; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada; National Institute of Mental Health; Canadian Institute for Advanced Research","keywords":"Computer science; Classifier (UML); Artificial intelligence; Calcium imaging; Ground truth; Scalability; Spotting; Data curation; Pattern recognition (psychology); Machine learning; Data mining; Calcium; Database; Chemistry","score_opus":0.08869694879227998,"score_gpt":0.29561978026492297,"score_spread":0.206922831472643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043303392","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98469836,0.000050273316,0.012575776,0.00053871615,0.0009882492,0.0006548562,0.000035380457,0.00021459917,0.00024379189],"genre_scores_gemma":[0.99902374,0.0000129132695,0.0002546644,0.0005480558,0.000072231844,0.000009523186,0.00001111587,0.000029703035,0.000038078524],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980874,0.00022450036,0.00047816534,0.00060121017,0.0002953502,0.00031338757],"domain_scores_gemma":[0.99926114,0.00011277423,0.00027235583,0.00017115298,0.000043750966,0.00013881455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013722351,0.0002155621,0.00037375797,0.00013458235,0.00013334489,0.00020695383,0.00037411807,0.00011760613,0.000010629431],"category_scores_gemma":[0.0006734623,0.00021570276,0.000051729952,0.0005705854,0.00011849844,0.0010126827,0.00016228856,0.00027983056,0.000001859749],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010922641,0.0000757789,0.011411205,0.000067484594,0.000007076364,0.000034750097,0.0004667685,0.0041513876,0.91708034,0.00008202967,0.00040171438,0.06611225],"study_design_scores_gemma":[0.0009056082,0.00016978817,0.05285633,0.000035835004,0.000016460903,0.000025188661,0.0000668081,0.89544296,0.049896117,0.000083858766,0.00026121805,0.00023984261],"about_ca_topic_score_codex":0.00012238814,"about_ca_topic_score_gemma":0.000012982079,"teacher_disagreement_score":0.89129156,"about_ca_system_score_codex":0.000058157246,"about_ca_system_score_gemma":0.00004819874,"threshold_uncertainty_score":0.87961036},"labels":[],"label_agreement":null},{"id":"W3043656946","doi":"10.1038/s41386-020-0759-z","title":"Theta–gamma coupling and ordering information: a stable brain–behavior relationship across cognitive tasks and clinical conditions","year":2020,"lang":"en","type":"article","venue":"Neuropsychopharmacology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Public Health Ontario; Baycrest Hospital; Health Sciences Centre; Sunnybrook Health Science Centre; St. Michael's Hospital; University of Toronto; University Health Network; Queen's University; Centre for Addiction and Mental Health","funders":"Canadian Institutes of Health Research; Ontario Ministry of Research, Innovation and Science; Health Canada; Canada Foundation for Innovation; Government of Canada; Ontario Ministry of Research and Innovation; Fondation Brain Canada","keywords":"Psychology; Cognition; Neuroscience; Coupling (piping); Cognitive psychology; Cognitive science","score_opus":0.07716270037059902,"score_gpt":0.3881761348334492,"score_spread":0.3110134344628502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043656946","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920594,0.00001924974,0.0003258716,0.005455807,0.0008205639,0.00054969976,0.00014909121,0.00013297578,0.00048734836],"genre_scores_gemma":[0.9805595,0.00013263678,0.000023922412,0.018969612,0.00014306261,0.000057712237,0.000017851762,0.000018580737,0.00007710048],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985423,0.00016487557,0.0004236918,0.0004368838,0.00013564907,0.00029660057],"domain_scores_gemma":[0.997871,0.0015700503,0.00017152223,0.00008439288,0.00006916326,0.00023388948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019014104,0.00016687729,0.000200862,0.00005203619,0.0004853237,0.00013268551,0.00010377101,0.00010283141,0.000096367214],"category_scores_gemma":[0.0011195699,0.00016741786,0.000046178324,0.00030396428,0.0003320192,0.0006109222,0.0001307142,0.0005614167,0.00006316845],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024194901,0.0005772842,0.24570489,0.00022097022,0.00007309679,0.0003836331,0.003381398,0.00084752514,0.7057179,0.00490704,0.006494558,0.029272176],"study_design_scores_gemma":[0.009928256,0.0015268548,0.88799,0.000030335686,0.00021182215,0.00045517026,0.0005550504,0.07816043,0.002567364,0.00046234086,0.017381672,0.0007306949],"about_ca_topic_score_codex":0.0000031825064,"about_ca_topic_score_gemma":0.0000023819703,"teacher_disagreement_score":0.7031506,"about_ca_system_score_codex":0.00000916668,"about_ca_system_score_gemma":0.00002768781,"threshold_uncertainty_score":0.68271023},"labels":[],"label_agreement":null},{"id":"W3044614965","doi":"10.1016/j.tics.2020.05.011","title":"Curious Inferences: Reply to Sun and Firestone on the Dark Room Problem","year":2020,"lang":"en","type":"review","venue":"Trends in Cognitive Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Biotechnology and Biological Sciences Research Council; Dr Mortimer and Theresa Sackler Foundation; Canadian Institute for Advanced Research","keywords":"Nothing; Psychology; Function (biology); Great Rift; Cognitive psychology; Epistemology; Philosophy; Physics; Astronomy","score_opus":0.2775107465327147,"score_gpt":0.42435992466828376,"score_spread":0.14684917813556908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3044614965","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034553856,0.87669265,0.00003007818,0.014023568,0.0014432452,0.0029881492,0.0005526983,0.00024452928,0.10056967],"genre_scores_gemma":[0.009994186,0.9834258,0.000045339515,0.0053256517,0.00011201325,0.00024625476,0.000011240259,0.000024825564,0.00081468123],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99677634,0.0004647671,0.00044040201,0.0013364657,0.0005695863,0.00041240823],"domain_scores_gemma":[0.9967712,0.0026080953,0.00026044188,0.00019549581,0.00003206595,0.0001326934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006685169,0.00039452294,0.00070220145,0.00049066637,0.00044152228,0.00033242156,0.0006573089,0.00008445965,0.00007958403],"category_scores_gemma":[0.0017743697,0.00022166778,0.00012567485,0.0033060866,0.00063013553,0.00016884794,0.00028362087,0.0005334277,0.00007344946],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008679313,0.00003334585,0.000011713951,0.0001407574,0.0000034601155,0.000035155215,0.00017463345,0.0000013261598,0.0000062194667,0.002062293,0.000571747,0.9969507],"study_design_scores_gemma":[0.00021954908,0.0017183023,0.00016427472,0.009376358,0.000106881766,0.000078594814,0.0001473434,0.00025801337,0.000045048804,0.0044643977,0.98262084,0.00080040295],"about_ca_topic_score_codex":0.000057796242,"about_ca_topic_score_gemma":0.000096456235,"teacher_disagreement_score":0.99615026,"about_ca_system_score_codex":0.00004596217,"about_ca_system_score_gemma":0.00016831617,"threshold_uncertainty_score":0.90393496},"labels":[],"label_agreement":null},{"id":"W3044873100","doi":"10.1111/gbb.12686","title":"The <scp>McGill‐Mouse‐Miniscope</scp> platform: A standardized approach for high‐throughput imaging of neuronal dynamics during behavior","year":2020,"lang":"en","type":"article","venue":"Genes Brain & Behavior","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University Health Centre; Montreal General Hospital; McGill University; Douglas Mental Health University Institute","funders":"Canadian Institutes of Health Research","keywords":"Touchscreen; Computer science; Cognition; Data science; Neuroscience; Dynamics (music); Open science; Cognitive science; Human–computer interaction; Psychology","score_opus":0.035980925992970134,"score_gpt":0.26550447184065024,"score_spread":0.2295235458476801,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3044873100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99175936,0.000047094265,0.003358668,0.0005689402,0.00058981706,0.0018586613,0.0015070746,0.0001931888,0.00011719281],"genre_scores_gemma":[0.9947385,0.00005704915,0.0022556635,0.00086640834,0.0001848967,0.0007617542,0.0001208772,0.00013080159,0.00088401145],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968252,0.00011820415,0.0006903693,0.0009509235,0.0006669878,0.0007482928],"domain_scores_gemma":[0.9979305,0.00084947934,0.00037707487,0.00049900694,0.00012811257,0.000215811],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00031181882,0.0004179781,0.00045234297,0.000086835316,0.0009771622,0.00018641302,0.0007166784,0.000111415044,0.00001055908],"category_scores_gemma":[0.0007843042,0.00034075492,0.0003039322,0.00041773557,0.00031799762,0.00035650152,0.00034864104,0.0003269806,0.0000074246436],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013243736,0.00023549008,0.0017316978,0.000070166876,0.000010107821,0.000029516048,0.00017058545,0.00023364987,0.9755676,0.0023058103,0.00044254257,0.019070404],"study_design_scores_gemma":[0.005448423,0.000828622,0.01747122,0.000025377183,0.0004008625,0.00015508145,0.0009768922,0.03205376,0.9334297,0.00013062696,0.008546137,0.0005332813],"about_ca_topic_score_codex":0.000027218699,"about_ca_topic_score_gemma":0.000014465969,"teacher_disagreement_score":0.042137876,"about_ca_system_score_codex":0.00011406822,"about_ca_system_score_gemma":0.00008535786,"threshold_uncertainty_score":0.99990445},"labels":[],"label_agreement":null},{"id":"W3045086389","doi":"10.1093/cercor/bhaa186","title":"Distributed Motor Control of Limb Movements in Rat Motor and Somatosensory Cortex: The Sensorimotor Amalgam Revisited","year":2020,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"National Institutes of Health; National Eye Institute; James S. McDonnell Foundation","keywords":"Forelimb; Somatosensory system; Hindlimb; Neuroscience; Motor cortex; Neocortex; Microstimulation; Motor control; Stimulation; Anatomy; Psychology; Biology","score_opus":0.01906919524119446,"score_gpt":0.22812042733089294,"score_spread":0.20905123208969847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045086389","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99659383,0.000062310486,0.00021298409,0.0012747839,0.0002598347,0.0009598151,0.00045134572,0.00006871036,0.000116378396],"genre_scores_gemma":[0.9956501,0.000053735766,0.000012969794,0.0038863888,0.00009903325,0.000020944677,0.000022756058,0.000025679989,0.00022835938],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9981313,0.0002109983,0.00047425568,0.00053389376,0.00031840135,0.00033117874],"domain_scores_gemma":[0.99894947,0.0003015994,0.00024432281,0.00028452926,0.00005749669,0.0001625794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000112539645,0.00023558701,0.00037421004,0.00006318157,0.000121275836,0.000063957705,0.0002520499,0.00008634012,0.000059662292],"category_scores_gemma":[0.0005829971,0.0001741168,0.00010702267,0.00038562278,0.00017406911,0.00016267429,0.0001052832,0.00026872486,0.000021032445],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045118242,0.000061727675,0.014905795,0.00006148293,0.000010427337,0.000032193995,0.000070461676,0.000009976649,0.9830161,0.00062981946,0.00021517639,0.00053569215],"study_design_scores_gemma":[0.0059397533,0.0018022328,0.7256023,0.00010291024,0.000061073326,0.0000389095,0.00024885722,0.20074986,0.06144482,0.00049968605,0.0028350435,0.0006745089],"about_ca_topic_score_codex":0.00002320281,"about_ca_topic_score_gemma":0.0000043955774,"teacher_disagreement_score":0.92157125,"about_ca_system_score_codex":0.00003621292,"about_ca_system_score_gemma":0.000027385555,"threshold_uncertainty_score":0.7100277},"labels":[],"label_agreement":null},{"id":"W3045089982","doi":"10.1101/2020.07.24.220319","title":"Interneuron Specific Gamma Synchronization Indexes Cue Uncertainty and Prediction Errors in Lateral Prefrontal and Anterior Cingulate Cortex","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Interneuron; Neuroscience; Inhibitory postsynaptic potential; Anterior cingulate cortex; Prefrontal cortex; Primate; Cortex (anatomy); Psychology; Biology; Gating; Cognition","score_opus":0.014792001022376391,"score_gpt":0.2107119640317518,"score_spread":0.19591996300937542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045089982","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99622005,0.00020138982,0.0005389244,0.00022958888,0.0015345085,0.00079008297,0.00023124341,0.00025046337,0.0000037424838],"genre_scores_gemma":[0.9985852,0.0007297294,0.000114742186,0.00021589907,0.00020916664,0.000051260246,0.0000011965036,0.00008752282,0.0000052797773],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9971174,0.00019657503,0.0005583827,0.00144029,0.00029473277,0.00039263695],"domain_scores_gemma":[0.99893093,0.000054232896,0.0003380518,0.00040539645,0.00007234341,0.00019904946],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020200413,0.00048473867,0.00046161533,0.00029105658,0.0001336995,0.00035403104,0.00023692976,0.00032584858,0.000013754393],"category_scores_gemma":[0.0001737799,0.0005118265,0.000059507922,0.00034834494,0.00018903245,0.00033078328,0.00055775687,0.0007626502,0.000006654723],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001210432,0.000051295814,0.033035554,0.000253608,0.000011340055,0.00010806725,0.000046428137,0.00026000696,0.9659539,0.000116596726,0.000016249951,0.000025937677],"study_design_scores_gemma":[0.0008815469,0.00023231513,0.8531592,0.0006422857,0.00003361203,4.29212e-7,0.000003627251,0.087831825,0.05630458,0.000014914009,0.00028456116,0.000611119],"about_ca_topic_score_codex":0.00007678914,"about_ca_topic_score_gemma":0.000019091522,"teacher_disagreement_score":0.9096493,"about_ca_system_score_codex":0.00024587472,"about_ca_system_score_gemma":0.000094243784,"threshold_uncertainty_score":0.9997333},"labels":[],"label_agreement":null},{"id":"W3045702126","doi":"10.1101/2020.07.28.225557","title":"Linking minimal and detailed models of CA1 microcircuits reveals how theta rhythms emerge and how their frequencies are controlled","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"University of Toronto; Government of Ontario","keywords":"Theta rhythm; Hippocampal formation; Leverage (statistics); Neuroscience; Pyramidal cell; Rhythm; Parametric statistics; Computer science; Biological system; Biology; Physics; Mathematics; Artificial intelligence","score_opus":0.0368614644784159,"score_gpt":0.21159303749107614,"score_spread":0.17473157301266024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045702126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99169374,0.0017892005,0.0010065973,0.0028176818,0.00061329146,0.0012725688,0.0006050857,0.00019194926,0.000009863058],"genre_scores_gemma":[0.99721676,0.0015178162,0.00038044158,0.00039694284,0.00023614668,0.00012415132,3.4488343e-7,0.00010928042,0.000018127623],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968198,0.00033432242,0.0004767791,0.0014389511,0.00040531324,0.00052484963],"domain_scores_gemma":[0.99729085,0.00032621427,0.0010713282,0.000717057,0.00032885035,0.00026567574],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004976523,0.00068992254,0.0012950465,0.00021979361,0.000250367,0.00045999634,0.00042972557,0.00045491316,0.000003901329],"category_scores_gemma":[0.00077535835,0.00060332817,0.00022107083,0.000366095,0.00030403826,0.00034865102,0.0005931496,0.00075185124,0.0000012613904],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009692806,0.00003578557,0.002241141,0.00058549235,0.00007063106,0.00004318035,0.000038732705,0.000031288415,0.99544984,0.001367806,0.000034817363,0.000004383033],"study_design_scores_gemma":[0.0043194536,0.00026673896,0.032554045,0.0013732279,0.0003539531,6.700801e-7,0.000047975944,0.036136746,0.92236817,0.0004891837,0.0002925347,0.0017973006],"about_ca_topic_score_codex":0.0000073168326,"about_ca_topic_score_gemma":0.000005463362,"teacher_disagreement_score":0.07308164,"about_ca_system_score_codex":0.000071535964,"about_ca_system_score_gemma":0.00016811835,"threshold_uncertainty_score":0.99964184},"labels":[],"label_agreement":null},{"id":"W3045729513","doi":"10.1371/journal.pone.0236760","title":"Thalamic gating contributes to forward suppression in the auditory cortex","year":2020,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary","funders":"Institute of Neurosciences, Mental Health and Addiction; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Auditory cortex; Thalamus; Neuroscience; Medial geniculate body; Excitatory postsynaptic potential; Stimulus (psychology); Cortex (anatomy); Psychology; Biology; Inhibitory postsynaptic potential; Inferior colliculus; Nucleus","score_opus":0.06117379491963277,"score_gpt":0.24217735285387124,"score_spread":0.18100355793423847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045729513","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9838271,0.000009375787,0.00011327393,0.014887552,0.00013543226,0.00034909364,0.000011629751,0.000044432665,0.000622098],"genre_scores_gemma":[0.98993015,0.000008553767,0.00005283906,0.009720578,0.00016133868,0.000027725904,0.0000029719781,0.000008715617,0.00008713464],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991109,0.000100450685,0.00013413039,0.00023557276,0.00025084458,0.0001681249],"domain_scores_gemma":[0.99942183,0.00035314367,0.000043055763,0.0001220846,0.000017089014,0.000042793057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000107168984,0.000073565505,0.00011529545,0.000029951327,0.00009180079,0.00004683848,0.00020893523,0.000029213861,0.000020394087],"category_scores_gemma":[0.0011300871,0.000051115963,0.000024785099,0.00026871293,0.000021364318,0.00007905457,0.000067811045,0.0001705063,0.00007910544],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028063394,0.000118277036,0.0012921802,0.000018905725,0.00000230164,0.0000086196615,0.00023675384,0.000022585813,0.99631876,0.0002980578,0.001367863,0.00028764535],"study_design_scores_gemma":[0.0009162737,0.0005164605,0.053038917,0.0002442545,0.00004073575,0.0000028413642,0.00028675245,0.08638731,0.85506195,0.0014282882,0.0017844577,0.0002917419],"about_ca_topic_score_codex":0.000004765974,"about_ca_topic_score_gemma":0.0000046550194,"teacher_disagreement_score":0.14125678,"about_ca_system_score_codex":0.00001709362,"about_ca_system_score_gemma":0.000011290803,"threshold_uncertainty_score":0.20844485},"labels":[],"label_agreement":null},{"id":"W3045742345","doi":"10.1038/s41467-020-17543-4","title":"Dissociable mesolimbic dopamine circuits control responding triggered by alcohol-predictive discrete cues and contexts","year":2020,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Concordia University; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Dopamine; Neuroscience; Control (management); Psychology; Cognitive psychology; Computer science; Artificial intelligence","score_opus":0.027681772400045643,"score_gpt":0.2966468373103308,"score_spread":0.26896506491028516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045742345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60799503,0.035516724,0.0045100665,0.29329273,0.0013162355,0.00477361,0.0058227377,0.0016456369,0.045127235],"genre_scores_gemma":[0.99375534,0.0007729479,0.000045588127,0.004699184,0.000049456015,0.0000486472,0.000082531784,0.000024030798,0.0005222953],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99853927,0.00037060678,0.00024634643,0.000385324,0.00022352196,0.00023490706],"domain_scores_gemma":[0.9977113,0.0012487321,0.00016171535,0.00064288947,0.00007246532,0.00016289398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017953897,0.00016808732,0.00025344212,0.00007721955,0.00060026714,0.00011793475,0.00071501394,0.00018094455,0.000015840751],"category_scores_gemma":[0.0019044317,0.0001525068,0.00006626616,0.00056702644,0.0002320088,0.00028944024,0.0002494415,0.0008924004,0.000010679567],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017921253,0.00010918932,0.0014234986,0.000014124602,0.00005973964,0.0000051254624,0.00079111365,0.000016191578,0.9481648,0.03731954,0.00912071,0.0027967049],"study_design_scores_gemma":[0.019874305,0.0024206834,0.034877595,0.0003673054,0.0011227003,0.0001258021,0.0019879027,0.27796,0.100925475,0.014144666,0.5429198,0.0032737274],"about_ca_topic_score_codex":0.000006599695,"about_ca_topic_score_gemma":0.000015187886,"teacher_disagreement_score":0.8472394,"about_ca_system_score_codex":0.0000423317,"about_ca_system_score_gemma":0.000027798382,"threshold_uncertainty_score":0.6219047},"labels":[],"label_agreement":null},{"id":"W3045775993","doi":"10.3389/fncom.2020.00064","title":"Necessary Conditions for Reliable Propagation of Slowly Time-Varying Firing Rate","year":2020,"lang":"en","type":"article","venue":"Frontiers in Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Toronto Rehabilitation Institute; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Asynchronous communication; Computer science; Feed forward; Backpropagation; Artificial neural network; Artificial intelligence; Telecommunications","score_opus":0.03153565497985524,"score_gpt":0.26196487940680163,"score_spread":0.23042922442694638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045775993","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3516366,0.000020621064,0.63959676,0.005359682,0.0016938724,0.00095470995,0.00015050363,0.00011043849,0.00047685733],"genre_scores_gemma":[0.98812693,0.000005727133,0.008504334,0.0031520214,0.00004320443,0.000031403608,0.0000221676,0.000013655659,0.00010055298],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99865377,0.00006886596,0.00031055126,0.00048648258,0.00027108687,0.00020925341],"domain_scores_gemma":[0.99931765,0.0002898,0.00017084257,0.0000817933,0.000067451285,0.00007247011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017070197,0.000109438755,0.00016044048,0.0001342232,0.00020781085,0.000053042186,0.00025543373,0.000030175464,0.0000054543266],"category_scores_gemma":[0.000966178,0.000114692186,0.000053508487,0.0008081063,0.00016603436,0.00048014347,0.000056090026,0.00011381224,0.0000046273476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006380911,0.000044625576,0.00079145003,0.00004573724,5.8666615e-7,0.000004889963,0.000053765358,0.49521494,0.49847165,0.0022250568,0.0025482285,0.000535263],"study_design_scores_gemma":[0.000389996,0.0001486698,0.0026501145,0.000021996153,0.000003235205,0.000003842095,0.0000054815796,0.96176326,0.020685203,0.013856763,0.0003583262,0.00011313917],"about_ca_topic_score_codex":0.0000011627635,"about_ca_topic_score_gemma":9.841548e-8,"teacher_disagreement_score":0.63649035,"about_ca_system_score_codex":0.000029726516,"about_ca_system_score_gemma":0.000085191896,"threshold_uncertainty_score":0.46770117},"labels":[],"label_agreement":null},{"id":"W3046046111","doi":"10.3389/fncir.2020.576727","title":"Subsampled Directed-Percolation Models Explain Scaling Relations Experimentally Observed in the Brain","year":2021,"lang":"en","type":"article","venue":"Frontiers in Neural Circuits","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Universidade Federal de Pernambuco; Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Scaling; Critical exponent; Bin; Universality (dynamical systems); Branching (polymer chemistry); Parameter space; Branching process; Critical point (mathematics)","score_opus":0.06709548384653556,"score_gpt":0.2622478763137149,"score_spread":0.1951523924671793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046046111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923632,0.00018443051,0.0030136672,0.0018373695,0.0011507762,0.0004901689,0.00013059568,0.00009226956,0.0007374938],"genre_scores_gemma":[0.99716145,0.000020596277,0.00021732386,0.0020712249,0.0000481342,0.000085329935,0.0002401927,0.00002024355,0.00013552545],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975659,0.0007249436,0.00041352006,0.0005603818,0.00036614202,0.00036910473],"domain_scores_gemma":[0.9990526,0.00044613003,0.0000919655,0.0003229534,0.00003324068,0.00005311719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035144016,0.00018611485,0.00021168626,0.00018714153,0.00022031882,0.00013881324,0.00029302872,0.000100004465,0.000026349855],"category_scores_gemma":[0.000709813,0.00016630009,0.00008802728,0.0011908181,0.000057979047,0.00067086716,0.00004936732,0.0003733505,0.000004112933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000089677225,0.0005478684,0.034910757,0.000035107714,0.000010673589,0.00050653954,0.0058681434,0.07486571,0.84601647,0.00513495,0.018912729,0.013101396],"study_design_scores_gemma":[0.0014915218,0.000055530963,0.051330954,0.000058780268,0.000010413752,0.00006822487,0.0015466233,0.9203573,0.013794294,0.010230822,0.00060911605,0.00044642334],"about_ca_topic_score_codex":0.000057240508,"about_ca_topic_score_gemma":0.00018286041,"teacher_disagreement_score":0.8454916,"about_ca_system_score_codex":0.00016572805,"about_ca_system_score_gemma":0.000045929748,"threshold_uncertainty_score":0.6781521},"labels":[],"label_agreement":null},{"id":"W3046066798","doi":"10.1016/j.cobeha.2020.06.014","title":"The same-different task as a tool to study unconscious processing","year":2020,"lang":"en","type":"article","venue":"Current Opinion in Behavioral Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Advanced Research","keywords":"Subliminal stimuli; Unconscious mind; Task (project management); Consciousness; Cognition; Context (archaeology); Computer science; Priming (agriculture); Cognitive psychology; Cognitive science; Information processing; Psychology; Engineering; Neuroscience; Systems engineering","score_opus":0.16858820981571845,"score_gpt":0.40502020161852986,"score_spread":0.2364319918028114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046066798","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917106,0.00011475683,0.000043186625,0.0038450845,0.0033680461,0.0008144435,0.00000587457,0.00006758766,0.000030446858],"genre_scores_gemma":[0.9993841,0.000043500888,0.000013762105,0.000289114,0.00014773392,0.00010048932,9.516526e-7,0.0000071436893,0.000013178598],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.997815,0.00015299123,0.0003183295,0.0006669164,0.0006653858,0.00038138055],"domain_scores_gemma":[0.99949443,0.000093409486,0.00009817345,0.0001372531,0.000028806468,0.00014792575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002972744,0.00017040047,0.00014485963,0.00007520779,0.000777703,0.00046381203,0.0006405808,0.00002300196,0.000016362583],"category_scores_gemma":[0.00025502575,0.00010410861,0.00004515325,0.0011490933,0.00022374064,0.00025678496,0.00023172292,0.0002220312,0.000047330446],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011755726,0.0014357066,0.12999584,0.000034120756,9.1134376e-7,0.000007262631,0.0048235436,0.00027843425,0.047973063,0.0011431883,0.00085998623,0.8133304],"study_design_scores_gemma":[0.007818659,0.031599406,0.702082,0.0012073466,0.00010441565,0.00010578435,0.0230737,0.06933847,0.036248107,0.009887131,0.113013804,0.005521184],"about_ca_topic_score_codex":0.000032591328,"about_ca_topic_score_gemma":0.00002995405,"teacher_disagreement_score":0.80780923,"about_ca_system_score_codex":0.000049564813,"about_ca_system_score_gemma":0.00007717096,"threshold_uncertainty_score":0.5981541},"labels":[],"label_agreement":null},{"id":"W3046402649","doi":"10.1101/2020.07.30.229542","title":"Spatially localized cluster solutions in inhibitory neural networks","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; American Institute of Mathematics","keywords":"Inhibitory postsynaptic potential; Cluster (spacecraft); Artificial neural network; Computer science; Neuroscience; Artificial intelligence; Psychology; Computer network","score_opus":0.026699601868257365,"score_gpt":0.2237434584408319,"score_spread":0.19704385657257453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046402649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95445824,0.00037375538,0.028096586,0.0044622663,0.0090767415,0.0021732186,0.00023008541,0.0010853668,0.000043757576],"genre_scores_gemma":[0.99470115,0.00012712456,0.00044855126,0.0034514149,0.000941811,0.00017912994,5.4027026e-7,0.00014423463,0.0000060498282],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9957873,0.00048462529,0.00076743896,0.0016018077,0.0004938993,0.0008649008],"domain_scores_gemma":[0.9979706,0.00020758007,0.00040619593,0.0009394665,0.0001371969,0.0003389592],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042906913,0.000633919,0.0006317981,0.00031244167,0.00024512853,0.0003260157,0.00069738785,0.00060578925,0.000037245165],"category_scores_gemma":[0.0006956988,0.000686591,0.00023131256,0.0008735883,0.00020790422,0.000251969,0.0011522203,0.0018199411,0.00006339959],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016456803,0.00020334174,0.0013676082,0.00019501043,0.000020632226,0.0002685134,0.000008980157,0.050149594,0.9452633,0.0014186262,0.00092750805,0.000012273617],"study_design_scores_gemma":[0.0012495639,0.000110064364,0.012769301,0.00025780057,0.00005733208,6.45549e-8,7.8369214e-7,0.9331263,0.0487805,0.000023705026,0.0024585219,0.0011661056],"about_ca_topic_score_codex":0.00007868274,"about_ca_topic_score_gemma":0.000023732458,"teacher_disagreement_score":0.8964828,"about_ca_system_score_codex":0.0003271964,"about_ca_system_score_gemma":0.00030808008,"threshold_uncertainty_score":0.9995585},"labels":[],"label_agreement":null},{"id":"W3046547148","doi":"10.1152/jn.00167.2020","title":"Frequency-separated principal component analysis of cortical population activity","year":2020,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Principal component analysis; Population; Neuroscience; Component (thermodynamics); Psychology; Computer science; Physics; Medicine; Artificial intelligence","score_opus":0.05175551360824695,"score_gpt":0.29442929158234316,"score_spread":0.2426737779740962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046547148","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986848,0.0000015043157,0.00031571477,0.0005994142,0.00028895133,0.000054310345,0.000010182806,0.000009857285,0.000035223067],"genre_scores_gemma":[0.99910176,0.000017441,0.000046586603,0.0007366238,0.00008339321,3.7386096e-7,0.0000025699728,0.0000071970385,0.0000040739756],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99865764,0.000360568,0.00043728008,0.00019273123,0.00022031655,0.00013146891],"domain_scores_gemma":[0.9989052,0.0002531072,0.0005431611,0.00010592293,0.0000869198,0.000105711944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000037543756,0.0000964081,0.00043610024,0.0001635958,0.00004829587,0.000008794189,0.00016945592,0.000047527992,0.000042604835],"category_scores_gemma":[0.00054949854,0.00007577962,0.000226489,0.0007442595,0.000071865106,0.000120359466,0.000045405643,0.0003032903,0.000004793265],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030243854,0.000098073826,0.0011325362,0.0000069866837,0.000051807554,0.00005747532,0.000022969143,0.020185234,0.9775024,0.00040889013,0.0000054133693,0.00022577481],"study_design_scores_gemma":[0.00027992914,0.0010834954,0.78538615,0.0000028897086,0.00022967816,0.000024964724,0.0000019918393,0.18004358,0.032683924,0.00015947006,0.000027521657,0.00007642289],"about_ca_topic_score_codex":0.000011595335,"about_ca_topic_score_gemma":8.026434e-7,"teacher_disagreement_score":0.9448185,"about_ca_system_score_codex":0.000019162353,"about_ca_system_score_gemma":0.000021752116,"threshold_uncertainty_score":0.30902034},"labels":[],"label_agreement":null},{"id":"W3046619896","doi":"10.11159/eee20.101","title":"A Simple Lapicque Neuron Emulator","year":2020,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Simple (philosophy); Computer science","score_opus":0.01248743984501244,"score_gpt":0.20482521553880687,"score_spread":0.19233777569379443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046619896","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99782336,0.000041103765,0.00020595086,0.0008663422,0.00066351163,0.0001808533,0.0000014641906,0.000065172375,0.00015224633],"genre_scores_gemma":[0.99927384,0.0000070391407,0.000027081509,0.00045103466,0.00010852773,0.0000047217395,2.2332072e-8,0.0000067622423,0.000120967175],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99901587,0.000004739291,0.00014786559,0.00035600056,0.00026586434,0.00020964385],"domain_scores_gemma":[0.99961644,0.00008270505,0.00007104419,0.000053705357,0.0000458133,0.00013027988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000109449036,0.000109010245,0.00015070934,0.00008854624,0.00016688815,0.00019442139,0.00028533992,0.000017524755,3.5421172e-7],"category_scores_gemma":[0.00013273684,0.00007299818,0.000025285226,0.00091719825,0.0001002524,0.00014350406,0.00014014202,0.00015771417,4.5777477e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041943207,0.00003448411,0.0018677347,0.00020426912,0.0000048141783,0.0000027936574,0.000082528044,0.005995813,0.7514927,0.23517461,0.0008645806,0.0042337263],"study_design_scores_gemma":[0.00012837173,0.00017241735,0.0021484012,0.000035913825,0.0000029940272,0.000016293252,0.0000013467585,0.9759977,0.0192085,0.000034645516,0.0021591948,0.00009422448],"about_ca_topic_score_codex":0.0000033156475,"about_ca_topic_score_gemma":1.0006004e-7,"teacher_disagreement_score":0.9700019,"about_ca_system_score_codex":0.000011498299,"about_ca_system_score_gemma":0.000010429338,"threshold_uncertainty_score":0.29767793},"labels":[],"label_agreement":null},{"id":"W3047369111","doi":"10.1101/2020.08.05.237727","title":"Auditory cortex supports verbal working memory capacity","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"National Institute on Deafness and Other Communication Disorders; National Institutes of Health","keywords":"Working memory; Echoic memory; Auditory cortex; Psychology; Prefrontal cortex; Neuroanatomy of memory; Sensory memory; Spatial memory; Neuroscience; Sensory system; Cognition; Cognitive psychology","score_opus":0.03146076817014492,"score_gpt":0.2196973054973556,"score_spread":0.18823653732721068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047369111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9824049,0.000086318636,0.0006812126,0.0006923345,0.013793858,0.00086376636,0.00025457094,0.001074811,0.0001482455],"genre_scores_gemma":[0.99493843,0.000110454974,0.00046172537,0.0017672633,0.002408039,0.000110552224,4.3022877e-7,0.00018133166,0.000021798493],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9952762,0.000297336,0.0006812208,0.002089239,0.00083357823,0.0008224292],"domain_scores_gemma":[0.9971071,0.00019251386,0.00066800095,0.0013420184,0.00016914097,0.00052126247],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042052858,0.0007739612,0.00071362266,0.00023007528,0.00037714996,0.00040212704,0.00090698665,0.00062473444,0.00013360752],"category_scores_gemma":[0.0007530289,0.0008550699,0.00030844065,0.0006450187,0.00027140076,0.0002376587,0.0009365857,0.0018091407,0.0002706552],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004031139,0.000092716604,0.0006361351,0.00020282666,0.000029800509,0.0003543848,0.0000111067875,0.00007402838,0.9957068,0.0007448295,0.0021019229,0.000005116743],"study_design_scores_gemma":[0.0008404259,0.00016673352,0.078653924,0.00055250584,0.00019503168,2.3138901e-7,0.0000037942737,0.006470787,0.8828916,0.000048111113,0.027772427,0.0024044486],"about_ca_topic_score_codex":0.000037763584,"about_ca_topic_score_gemma":0.0000026065084,"teacher_disagreement_score":0.11281524,"about_ca_system_score_codex":0.00040577725,"about_ca_system_score_gemma":0.00053124124,"threshold_uncertainty_score":0.99939},"labels":[],"label_agreement":null},{"id":"W3047413465","doi":"10.7554/elife.56938","title":"A flexible framework for simulating and fitting generalized drift-diffusion models","year":2020,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":155,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Institute of Mental Health; Gruber Foundation","keywords":"Speedup; Computer science; Diffusion; Software; Experimental data; Model building; Software package; Algorithm; Simulation; Mathematics; Physics; Statistics; Parallel computing","score_opus":0.09730101345799975,"score_gpt":0.3062310692682751,"score_spread":0.20893005581027535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047413465","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7924397,0.000029453175,0.2045055,0.002292063,0.00016775736,0.00025162045,0.000009204427,0.0001336562,0.00017106633],"genre_scores_gemma":[0.9724462,0.000026931364,0.016765513,0.01031705,0.00027920722,0.000014103858,0.0000028159343,0.000020664578,0.00012754035],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991374,0.000032601463,0.00015865326,0.00033025822,0.00015708513,0.00018398814],"domain_scores_gemma":[0.999334,0.00038823602,0.00007041418,0.0000868133,0.000022155898,0.000098408476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008398943,0.00009571527,0.00012186566,0.00002143876,0.00023100169,0.00007139741,0.00006233917,0.00005767525,0.000010531167],"category_scores_gemma":[0.001060498,0.0000857181,0.00004503517,0.00013886095,0.00002213181,0.00013826632,0.000080536374,0.00011634826,0.000004388254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013149508,0.0000239596,0.00019676668,0.00006291489,0.0000031240638,0.0000052809482,0.00076006044,0.028378328,0.8861394,0.07505567,0.00031931922,0.008923703],"study_design_scores_gemma":[0.00037603336,0.00008167533,0.000028833307,0.000020479387,0.0000046340583,0.000001761175,0.000019294826,0.93183583,0.051499084,0.014638696,0.0013871179,0.00010657555],"about_ca_topic_score_codex":0.0000046012565,"about_ca_topic_score_gemma":3.668527e-7,"teacher_disagreement_score":0.90345746,"about_ca_system_score_codex":0.0000073681144,"about_ca_system_score_gemma":0.000009762219,"threshold_uncertainty_score":0.34954825},"labels":[],"label_agreement":null},{"id":"W3047646103","doi":"10.1016/j.neubiorev.2020.07.019","title":"Neural signs and mechanisms of consciousness: Is there a potential convergence of theories of consciousness in sight?","year":2020,"lang":"en","type":"review","venue":"Neuroscience & Biobehavioral Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":257,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research; Hangzhou Normal University; Canadian HIV Trials Network, Canadian Institutes of Health Research; Physicians' Services Incorporated Foundation","keywords":"Consciousness; Psychology; Sight; Convergence (economics); Cognitive psychology; Consciousness Disorders; Cognitive science; Level of consciousness; Neural correlates of consciousness; Neuroscience; Developmental psychology; Cognition; Physics","score_opus":0.07581573554409046,"score_gpt":0.3368374949273204,"score_spread":0.2610217593832299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047646103","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009750672,0.9845571,0.0005086858,0.000023631668,0.0015025946,0.0029717502,0.00060873,0.000037300357,0.000039549966],"genre_scores_gemma":[0.17976171,0.8198116,0.00004749769,0.00020559928,0.000018239682,0.00007764958,0.000004984981,0.000042654836,0.00003009725],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9944104,0.00076756434,0.0022115055,0.0013431809,0.0007648547,0.00050252565],"domain_scores_gemma":[0.9965838,0.00006078611,0.0023482742,0.00069952186,0.000113635375,0.00019395442],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006746633,0.0007337886,0.0033220612,0.0003683083,0.000114700255,0.00005890817,0.0011784768,0.00027884604,0.000084238],"category_scores_gemma":[0.0007597559,0.0005366933,0.0006586872,0.0019238562,0.0019221228,0.00034731108,0.00047454122,0.0005551165,0.0000061226583],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038842605,0.00027596112,0.0001266431,0.008979298,4.5237476e-7,0.00010008405,0.00014644864,0.000001991975,0.33421886,0.006844783,0.000026997848,0.64923966],"study_design_scores_gemma":[0.0013382463,0.004474215,0.0002104918,0.018687246,0.0014971757,0.0005738825,0.00019836792,0.0014144727,0.02867939,0.005150649,0.935107,0.0026688778],"about_ca_topic_score_codex":0.000064890024,"about_ca_topic_score_gemma":0.000013602375,"teacher_disagreement_score":0.93508,"about_ca_system_score_codex":0.000036605164,"about_ca_system_score_gemma":0.00030775182,"threshold_uncertainty_score":0.9997085},"labels":[],"label_agreement":null},{"id":"W3047862968","doi":"10.1016/j.neubiorev.2020.11.024","title":"Neural and phenotypic representation under the free-energy principle","year":2020,"lang":"en","type":"preprint","venue":"Neuroscience & Biobehavioral Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; University of Sussex; Wellcome Trust; William K. Warren Foundation","keywords":"Inference; Computer science; ENCODE; Theoretical computer science; Probabilistic logic; Population; Artificial intelligence; Free energy principle; Generative model; Markov process; Mathematics; Machine learning; Generative grammar","score_opus":0.1759715700495184,"score_gpt":0.36908208029373424,"score_spread":0.19311051024421583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047862968","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9641938,0.008246683,0.00506874,0.0058739264,0.010583605,0.004336752,0.00024391714,0.0005741704,0.0008783694],"genre_scores_gemma":[0.97508544,0.008349518,0.00011619443,0.015437091,0.00028850403,0.00020797005,0.000018812432,0.000058058522,0.0004383897],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9954888,0.0005412301,0.0007640728,0.0019131387,0.0007567518,0.00053600763],"domain_scores_gemma":[0.99750835,0.000020300427,0.00066637446,0.0014869923,0.000048954375,0.00026901613],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003812824,0.0005596956,0.0005988536,0.00011029235,0.00053827406,0.0006722456,0.001590385,0.00018810337,0.00003725576],"category_scores_gemma":[0.0009757829,0.00037382444,0.0002834891,0.0007531754,0.000687836,0.0003673306,0.0025854558,0.0010011622,0.000025821932],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004837014,0.00015476027,0.0007341156,0.00009757247,1.3288711e-7,0.000056770485,0.00011324232,0.00035334635,0.7602553,0.01684607,0.0032003273,0.21814],"study_design_scores_gemma":[0.0006981089,0.0006434221,0.037408624,0.00021479464,0.0002454995,0.00021059411,0.0000614255,0.06574338,0.007899311,0.018496111,0.8667213,0.0016574323],"about_ca_topic_score_codex":0.00014504466,"about_ca_topic_score_gemma":0.00004018291,"teacher_disagreement_score":0.863521,"about_ca_system_score_codex":0.000067402725,"about_ca_system_score_gemma":0.00009012771,"threshold_uncertainty_score":0.9998714},"labels":[],"label_agreement":null},{"id":"W3048447019","doi":"10.1093/oxfordhb/9780198749677.013.23","title":"Consciousness and Attention","year":2020,"lang":"en","type":"reference-entry","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Consciousness; Psychology; Cognitive psychology; Context (archaeology); Cognitive science; Field (mathematics); Explanatory model; Epistemology; Philosophy; History; Neuroscience; Mathematics","score_opus":0.03889866134337687,"score_gpt":0.2593954440816874,"score_spread":0.22049678273831053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048447019","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018450871,0.00037274367,0.0006291723,0.004290151,0.0049825977,0.0005641158,0.00020917652,0.00035786905,0.9701433],"genre_scores_gemma":[0.19404471,0.06479505,0.00009460538,0.0079917135,0.0011375109,0.000038138332,0.00024953028,0.000093786024,0.731555],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989145,0.00005605301,0.00015173433,0.00051478937,0.00020988478,0.0001530783],"domain_scores_gemma":[0.99957395,0.00011059676,0.000087213826,0.00012278944,0.000017650444,0.00008782095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000030799434,0.00017209061,0.00020688625,0.000059071957,0.00009995679,0.000110584304,0.00011111385,0.00015540508,0.00016324487],"category_scores_gemma":[0.00013725473,0.00013593986,0.000053987846,0.00012617953,0.00007323054,0.000075024975,0.00011260122,0.00029428012,0.00013445737],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057804897,0.00007537459,0.0002967268,0.00078293873,0.000018604193,0.00013336235,0.000036313635,9.846127e-7,0.015028213,0.030127268,0.69840986,0.25503254],"study_design_scores_gemma":[0.00045967035,0.0001858961,0.00057416584,0.0001809857,0.00005649538,0.000096448486,0.000023125402,0.0028612239,0.0012287488,0.003221765,0.990532,0.00057952217],"about_ca_topic_score_codex":0.000012599029,"about_ca_topic_score_gemma":0.000009431437,"teacher_disagreement_score":0.29212207,"about_ca_system_score_codex":0.000018485971,"about_ca_system_score_gemma":0.000036634865,"threshold_uncertainty_score":0.5543467},"labels":[],"label_agreement":null},{"id":"W3048482233","doi":"10.3390/e22080880","title":"A Time-Varying Information Measure for Tracking Dynamics of Neural Codes in a Neural Ensemble","year":2020,"lang":"en","type":"article","venue":"Entropy","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Asynchronous communication; Computer science; Neural decoding; Neural coding; Entropy (arrow of time); Stimulus (psychology); Artificial neural network; Artificial intelligence; Algorithm; Decoding methods; Physics","score_opus":0.029992134232711912,"score_gpt":0.24539646356201214,"score_spread":0.21540432932930023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048482233","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9880033,0.000010475222,0.008574733,0.002426028,0.00022784529,0.00042374147,0.0000522847,0.000059567916,0.0002219934],"genre_scores_gemma":[0.99901885,0.0000030293759,0.00013765728,0.0007244377,0.000048656344,0.000013347486,0.000025052192,0.0000105403715,0.000018406166],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909526,0.00005190913,0.00029925228,0.00016388246,0.00018922299,0.00020046886],"domain_scores_gemma":[0.99955,0.00012557254,0.00014809422,0.00008165882,0.000043655156,0.000051005423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008808016,0.00010417876,0.00016089976,0.0000691627,0.00006161393,0.000040418465,0.00012835875,0.000041939784,0.000014900588],"category_scores_gemma":[0.0006302924,0.00009846798,0.00007495332,0.00026041194,0.00002820089,0.0005613837,0.000031583015,0.00013014027,0.000009280368],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005481041,0.000046413814,0.0013904443,0.00013193916,0.0000041333483,0.000005979027,0.0010582989,0.019071452,0.94978553,0.004689864,0.00020111143,0.023066727],"study_design_scores_gemma":[0.0006453707,0.00016349735,0.0004528798,0.000011830665,0.000005950771,0.000005612558,0.00004248515,0.9754165,0.022799924,0.00026633192,0.00009375671,0.00009587706],"about_ca_topic_score_codex":0.0000078885105,"about_ca_topic_score_gemma":0.000008431133,"teacher_disagreement_score":0.956345,"about_ca_system_score_codex":0.00003990173,"about_ca_system_score_gemma":0.000014604606,"threshold_uncertainty_score":0.40154076},"labels":[],"label_agreement":null},{"id":"W3049509277","doi":"10.1101/2020.08.16.252817","title":"Multiple regions of primate orofacial sensorimotor cortex encode bite force and gape","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Institutes of Health; University of Chicago","keywords":"Bite force quotient; Somatosensory system; Population; Neuroscience; Primate; Sensory system; Biting; Biology; Medicine","score_opus":0.026331492194666524,"score_gpt":0.23322700868350232,"score_spread":0.2068955164888358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049509277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939741,0.00008936754,0.0018514266,0.00052044203,0.0014683583,0.0009518556,0.0007590969,0.00036152467,0.00002384394],"genre_scores_gemma":[0.9973401,0.0003870323,0.0012682261,0.0005270261,0.00028265396,0.000065947715,4.5656427e-7,0.00010681655,0.000021757865],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9970546,0.00015948564,0.0005815596,0.0013014836,0.00043359178,0.0004693068],"domain_scores_gemma":[0.99783766,0.00022951303,0.0006048318,0.00081590837,0.00020740107,0.0003046894],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020267341,0.00050536904,0.0006211716,0.00020262833,0.00020976044,0.00014676215,0.0004313414,0.00036378222,0.000014333112],"category_scores_gemma":[0.001086173,0.00052372226,0.00016418396,0.00048152523,0.00025486128,0.00017375183,0.0006572858,0.00068436185,0.000024760535],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000076942946,0.00007264034,0.002191253,0.00035307673,0.000021253993,0.000053158725,0.000010859397,0.00003772812,0.9950733,0.0020171802,0.00009030982,0.0000022660006],"study_design_scores_gemma":[0.0007877049,0.00018210158,0.04738455,0.0002578815,0.00010272832,1.2467993e-7,0.0000023955354,0.019881373,0.928471,0.000041475792,0.00205612,0.0008325038],"about_ca_topic_score_codex":0.000032924247,"about_ca_topic_score_gemma":0.0000026998841,"teacher_disagreement_score":0.06660229,"about_ca_system_score_codex":0.000097935925,"about_ca_system_score_gemma":0.00025082956,"threshold_uncertainty_score":0.9997214},"labels":[],"label_agreement":null},{"id":"W3049521610","doi":"10.1101/2020.08.14.250910","title":"High resolution visual information via a gap junction-mediated spike order code","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Office of Naval Research Global; Canada Research Chairs; Office of Naval Research; Alfred P. Sloan Foundation","keywords":"Spike (software development); Stimulus (psychology); Neuroscience; Computer science; Sensory system; Spike train; Gap junction; Retinal ganglion cell; Artificial intelligence; Physics; Biology; Retina; Psychology","score_opus":0.020099832452619332,"score_gpt":0.22724585268690384,"score_spread":0.2071460202342845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049521610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9280629,0.000052203803,0.05621346,0.0027172104,0.008630513,0.0017709025,0.0006698353,0.001843621,0.00003931133],"genre_scores_gemma":[0.9955571,0.00013095295,0.0011375839,0.0022677344,0.0006190557,0.00017387242,0.0000071933023,0.00009855036,0.000007947202],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99651194,0.00023645723,0.00081128493,0.0010707277,0.0007734112,0.00059616833],"domain_scores_gemma":[0.9975068,0.00014656379,0.0007514627,0.00073968316,0.00052233634,0.00033318307],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00036069547,0.00061531644,0.0005125985,0.00040747641,0.0003558825,0.00044891052,0.00048793826,0.00060599064,0.000089747235],"category_scores_gemma":[0.0016870297,0.00065410434,0.00015462513,0.001358099,0.00013889422,0.00085676514,0.00053002127,0.0011589973,0.0007849298],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014489303,0.00010765613,0.00023113783,0.00023251015,0.000027101236,0.000029110215,0.000008960158,0.0009880052,0.9954287,0.0016494138,0.0011435737,0.00000896461],"study_design_scores_gemma":[0.0026722143,0.00063821854,0.04040305,0.00045881188,0.00026282488,2.5145684e-7,0.000006774178,0.3227318,0.5830161,0.00009058957,0.046693146,0.0030262596],"about_ca_topic_score_codex":0.00011664366,"about_ca_topic_score_gemma":0.000005249602,"teacher_disagreement_score":0.4124126,"about_ca_system_score_codex":0.00039424625,"about_ca_system_score_gemma":0.00044416965,"threshold_uncertainty_score":0.9999931},"labels":[],"label_agreement":null},{"id":"W3049639017","doi":"10.1162/neco_a_01311","title":"A Predictive-Coding Network That Is Both Discriminative and Generative","year":2020,"lang":"en","type":"article","venue":"Neural Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"MNIST database; Discriminative model; Artificial neural network; Computer science; Artificial intelligence; Predictive coding; Generative grammar; Reciprocal; Backpropagation; Hierarchy; Coding (social sciences); Nonlinear system; Machine learning; Generative model; Mathematics","score_opus":0.06931802813719797,"score_gpt":0.27508903755578756,"score_spread":0.2057710094185896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049639017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90396357,0.000031329266,0.0839849,0.010422244,0.00039848528,0.00036270978,0.000023080118,0.000140303,0.0006734149],"genre_scores_gemma":[0.9908057,0.000017960696,0.00032971552,0.008556626,0.00021626704,0.000008316563,0.000008648757,0.000013211166,0.00004355582],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99900365,0.00012990192,0.00010567942,0.00040224276,0.00018984276,0.00016868545],"domain_scores_gemma":[0.9995694,0.00018567145,0.00009193427,0.00004269402,0.000023268001,0.00008702027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000041378564,0.0001281787,0.00012048932,0.000024924911,0.00023980332,0.00010376306,0.00006212806,0.00003136284,0.000009381123],"category_scores_gemma":[0.000081567174,0.00011129201,0.000033551634,0.00020859222,0.00006469793,0.00032738672,0.000068178044,0.00014653949,0.0000063728453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008648743,0.000115040646,0.0067801354,0.0001683945,0.00004937789,0.00012633728,0.020695157,0.15470998,0.649429,0.01812888,0.019604241,0.12932856],"study_design_scores_gemma":[0.0002776344,0.0003403078,0.006320725,0.000009730657,0.000014052407,0.000009792979,0.000083537605,0.9758205,0.014612324,0.0022482434,0.00013840417,0.00012476771],"about_ca_topic_score_codex":0.0000031656261,"about_ca_topic_score_gemma":0.0000011949647,"teacher_disagreement_score":0.8211105,"about_ca_system_score_codex":0.00001861241,"about_ca_system_score_gemma":0.000007861621,"threshold_uncertainty_score":0.45383564},"labels":[],"label_agreement":null},{"id":"W3052082347","doi":"10.1177/1073858420951155","title":"Variety Is the Spice of Life: Positive and Negative Effects of Noise in Electrical Stimulation of the Nervous System","year":2020,"lang":"en","type":"review","venue":"The Neuroscientist","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women and Children’s Health Research Institute; University of Calgary; University of Alberta","funders":"Alberta Heritage Foundation for Medical Research; Canadian Institutes of Health Research; Alberta Innovates - Health Solutions","keywords":"Neuroscience; Stimulation; Noise (video); Stochastic resonance; Nervous system; Central nervous system; Spice; Noise immunity; Computer science; Psychology; Engineering; Electronic engineering; Artificial intelligence; Transmission (telecommunications); Telecommunications","score_opus":0.01958439018877853,"score_gpt":0.2629464068748198,"score_spread":0.24336201668604127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3052082347","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2381348,0.72320443,0.0007730314,0.001968197,0.010969633,0.022153035,0.00146803,0.0001313198,0.0011975127],"genre_scores_gemma":[0.7862883,0.2129589,0.000005464463,0.00046467097,0.000057320456,0.000039433802,0.0000022814809,0.000038264054,0.00014537179],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969594,0.0013190025,0.0005817369,0.00046655827,0.0004883729,0.0001849137],"domain_scores_gemma":[0.9952832,0.0030580545,0.0011155523,0.00044400463,0.000054568518,0.000044639553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029202612,0.00024225708,0.00077385525,0.00008293687,0.00017872585,0.0000405696,0.00064343435,0.00008719207,9.1910226e-7],"category_scores_gemma":[0.0021323483,0.00011413988,0.0002557208,0.0017902601,0.0005299785,0.000063232015,0.00031027108,0.00044391947,0.000001236012],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006295817,0.0011152504,0.00051948824,0.0733333,0.00015842746,0.00011767542,0.0038492584,0.0007042109,0.2879766,0.04696971,0.000961247,0.58366525],"study_design_scores_gemma":[0.009165455,0.008859686,0.18959649,0.066295125,0.009723244,0.0014760294,0.00025720889,0.36128402,0.20371583,0.0026380164,0.1425675,0.0044213994],"about_ca_topic_score_codex":0.00007660654,"about_ca_topic_score_gemma":0.000004218779,"teacher_disagreement_score":0.57924384,"about_ca_system_score_codex":0.000045748922,"about_ca_system_score_gemma":0.00012067416,"threshold_uncertainty_score":0.46544892},"labels":[],"label_agreement":null},{"id":"W3055629929","doi":"10.1101/2020.08.18.256669","title":"Distributed source modeling of intracranial stereoelectroencephalographic measurements","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"Ministry of Science and Technology, Taiwan; National Institute on Deafness and Other Communication Disorders; Aalto-Yliopisto; National Health Research Institutes; Academy of Finland","keywords":"Stereoelectroencephalography; Neurophysiology; Neuroimaging; Sensitivity (control systems); Logarithm; Noise (video); Electroencephalography; Computer science; Neuroscience; Artificial intelligence; Mathematics; Psychology; Epilepsy surgery; Electronic engineering","score_opus":0.04109496906513724,"score_gpt":0.22791056973090693,"score_spread":0.1868156006657697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3055629929","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92302674,0.00008691193,0.07409047,0.00032323657,0.0010755388,0.00064984674,0.00036567883,0.00037700313,0.0000045727147],"genre_scores_gemma":[0.9984668,0.00010029755,0.00067050906,0.0003266356,0.00026961308,0.00006193281,7.180087e-7,0.00010283639,6.420527e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9963625,0.00025583638,0.00072278664,0.0012842193,0.0007863937,0.0005882341],"domain_scores_gemma":[0.99795896,0.00006787726,0.0005493539,0.00081939757,0.00033757556,0.00026682616],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00036342855,0.00053895806,0.0006309118,0.00025565326,0.00017658663,0.0001698052,0.0008005656,0.00035516758,0.000015314137],"category_scores_gemma":[0.0007248813,0.0005713855,0.00025501085,0.0009220867,0.0001371234,0.00017124684,0.0004847048,0.0009740736,0.00001521365],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000089232286,0.000118131895,0.0013577782,0.00022885046,0.000044238466,0.000025469166,0.0000045121396,0.0046722027,0.99321955,0.00021359573,0.00002266189,0.0000037535688],"study_design_scores_gemma":[0.0007553543,0.00021090396,0.004302146,0.00033637235,0.00016101242,5.4967682e-8,0.0000015326775,0.38507304,0.60806656,0.000039855488,0.00014992451,0.00090324413],"about_ca_topic_score_codex":0.00003589532,"about_ca_topic_score_gemma":0.0000015520495,"teacher_disagreement_score":0.38515303,"about_ca_system_score_codex":0.00014075985,"about_ca_system_score_gemma":0.0002601747,"threshold_uncertainty_score":0.9996738},"labels":[],"label_agreement":null},{"id":"W3057604112","doi":"10.1088/1751-8121/abb040","title":"The dynamics of entropies at the onset of interactions","year":2020,"lang":"en","type":"article","venue":"Journal of Physics A Mathematical and Theoretical","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Perimeter Institute; University of Waterloo","funders":"","keywords":"Fragility; Statistical physics; Eigenvalues and eigenvectors; Mathematics; Operator (biology); Density matrix; Entropy (arrow of time); Von Neumann entropy; Quantum; Hamiltonian (control theory); Quantum mechanics; Physics; Quantum entanglement; Mathematical optimization","score_opus":0.01718598841979658,"score_gpt":0.25140466826541835,"score_spread":0.23421867984562178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3057604112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9766541,0.000018888859,0.0074787405,0.0149281,0.00009604755,0.00007683916,0.00001843254,0.0000029886423,0.00072587293],"genre_scores_gemma":[0.9995502,0.000051954517,0.00008532307,0.00020209755,0.00006419417,7.815248e-7,2.3622896e-7,0.000005664152,0.000039542952],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99912065,0.00010009348,0.00035946153,0.00006868556,0.00026013254,0.00009095598],"domain_scores_gemma":[0.9973974,0.0021155642,0.00026344173,0.00009562735,0.000065955915,0.000061976316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001903057,0.000069999674,0.00018822827,0.000008964335,0.000104054474,0.000024628735,0.00016911142,0.000017429371,0.00005472702],"category_scores_gemma":[0.00082830974,0.000030769843,0.00012786397,0.00010159529,0.0010277141,0.000053691027,0.000108625165,0.00019681167,0.0000034154543],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012170255,0.00006907498,0.000012629432,0.000031635165,0.000013165387,0.0000020769428,0.00028748836,0.000009468305,0.014387663,0.983092,0.00006284472,0.0019102369],"study_design_scores_gemma":[0.00017432713,0.00027260248,0.000027315287,0.000038465154,0.000045707646,0.00009047188,0.000247629,0.06321996,0.02845931,0.90728605,0.0000976366,0.000040541065],"about_ca_topic_score_codex":1.514793e-7,"about_ca_topic_score_gemma":2.4035995e-7,"teacher_disagreement_score":0.07580598,"about_ca_system_score_codex":0.000010950754,"about_ca_system_score_gemma":0.000014375931,"threshold_uncertainty_score":0.37866554},"labels":[],"label_agreement":null},{"id":"W3079778889","doi":"10.1016/j.neuron.2020.07.038","title":"Why Have Two When One Will Do? Comparing Task Representations across Amygdala and Prefrontal Cortex in Single Neurons and Neuronal Populations","year":2020,"lang":"en","type":"letter","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research; Hospital for Sick Children; University of Toronto","funders":"Canadian Institutes of Health Research; National Institutes of Health; National Institute of Mental Health; Canadian Open Neuroscience Platform; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada","keywords":"Prefrontal cortex; Neuroscience; Amygdala; Psychology; Task (project management); Cognitive psychology; Consumer neuroscience; Cognition","score_opus":0.07722180073272274,"score_gpt":0.29628888571950307,"score_spread":0.21906708498678035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3079778889","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75226957,0.00003298599,0.000113997645,0.24461639,0.0010323453,0.0008324102,0.00034965182,0.00015942956,0.0005932143],"genre_scores_gemma":[0.69203544,0.000044104214,0.000109295775,0.30625242,0.00067800237,0.00004545032,0.00023121401,0.000112317655,0.00049176445],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.996328,0.00038921143,0.0005553338,0.0015794025,0.0005345833,0.0006134618],"domain_scores_gemma":[0.9986424,0.00040597667,0.0002920185,0.00046540113,0.000033536115,0.00016070768],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000575081,0.0004757132,0.00051757117,0.00019328477,0.00042981713,0.0005261118,0.00030434257,0.00020005707,0.000022032604],"category_scores_gemma":[0.00032485707,0.0005324878,0.00009465297,0.00024386017,0.00032468766,0.00058128586,0.0005040041,0.0019281214,0.000008108541],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025790397,0.00045603406,0.03653521,0.0003447486,0.00002481798,0.0021122908,0.0019266369,0.00085352606,0.6964078,0.00045567242,0.25781232,0.0028130396],"study_design_scores_gemma":[0.0052010654,0.0016379991,0.57062113,0.00032980595,0.00025700653,0.0008517178,0.00012339822,0.084270366,0.0014555792,0.0061230115,0.32655045,0.0025784608],"about_ca_topic_score_codex":0.0004461568,"about_ca_topic_score_gemma":0.0008406005,"teacher_disagreement_score":0.69495225,"about_ca_system_score_codex":0.00006446727,"about_ca_system_score_gemma":0.00002644543,"threshold_uncertainty_score":0.99971265},"labels":[],"label_agreement":null},{"id":"W3080179075","doi":"10.1073/pnas.2012462117","title":"Does the brain encode the gaze of others as beams emitted by their eyes?","year":2020,"lang":"en","type":"letter","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Deutsche Forschungsgemeinschaft","keywords":"Gaze; Representation (politics); Adaptation (eye); Motion (physics); Psychology; ENCODE; Eye movement; Cognitive psychology; Computer science; Communication; Neuroscience; Computer vision; Artificial intelligence; Biology; Genetics","score_opus":0.03481057040822778,"score_gpt":0.27808037166880856,"score_spread":0.2432698012605808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3080179075","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06803153,0.0000476513,0.000001116539,0.9266519,0.00016418313,0.00050002115,0.00024117506,0.000021787162,0.0043406254],"genre_scores_gemma":[0.53115463,0.00008204702,0.00003283311,0.4661941,0.00053050334,0.000026432564,0.0000010416229,0.00001747227,0.001960947],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9962795,0.000059431983,0.00053315266,0.000565152,0.0022843936,0.0002783907],"domain_scores_gemma":[0.9966427,0.0017663012,0.0013399113,0.000034139437,0.00018809347,0.000028858849],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001201026,0.00025411285,0.0002969517,0.00011591033,0.000507789,0.000090939284,0.003384074,0.00023759596,0.000033558328],"category_scores_gemma":[0.002859266,0.00008972114,0.00023762425,0.0012720898,0.0030628154,0.0003242799,0.000339451,0.0012064343,0.0000026474183],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001334456,0.000016268148,0.00007898277,0.00007422161,0.000014660598,2.8920672e-8,0.00032911284,0.000021328802,0.60412985,0.005172056,0.38986135,0.00028882976],"study_design_scores_gemma":[0.00015668501,0.00012554732,0.00039039215,0.00017920492,0.000030361127,0.000016610673,0.00029502003,0.0024971259,0.7014314,0.119687244,0.17495725,0.00023315146],"about_ca_topic_score_codex":0.00001635096,"about_ca_topic_score_gemma":8.403752e-8,"teacher_disagreement_score":0.46312308,"about_ca_system_score_codex":0.00003528761,"about_ca_system_score_gemma":0.00006600265,"threshold_uncertainty_score":0.9996503},"labels":[],"label_agreement":null},{"id":"W3080682928","doi":"10.1101/2020.08.25.266841","title":"Synchronization and resilience in the Kuramoto white matter network model with adaptive state-dependent delays","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Toronto","keywords":"Synchronization (alternating current); Computer science; Mechanism (biology); Neuroscience; White matter; Artificial neural network; Physics; Psychology; Artificial intelligence; Channel (broadcasting); Telecommunications","score_opus":0.01615891255369957,"score_gpt":0.20476133412117312,"score_spread":0.18860242156747353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3080682928","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9258946,0.00008048963,0.07058275,0.0015373941,0.00030594654,0.0013100263,0.000120472534,0.0001416826,0.000026602573],"genre_scores_gemma":[0.99589115,0.0001292335,0.0012835446,0.0023366418,0.00011743638,0.00015873989,2.0005295e-7,0.000074792,0.000008277643],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99723905,0.00027162707,0.0003536585,0.0011768901,0.0004938008,0.00046497682],"domain_scores_gemma":[0.9987002,0.00011167012,0.0002954016,0.00065024494,0.0001156649,0.00012679453],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00037052887,0.00041408566,0.0003142238,0.00010365502,0.00020680153,0.00035851946,0.000518267,0.0001763186,0.000008778667],"category_scores_gemma":[0.00008766251,0.00031819436,0.000039566086,0.00062008837,0.00015678159,0.00024443897,0.0003908919,0.00083218416,0.000023735396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047231658,0.00018143051,0.04630018,0.00035244116,0.000035284873,0.000380405,0.0002538889,0.7106346,0.23814513,0.00248718,0.0007494766,0.000007659255],"study_design_scores_gemma":[0.000544667,0.00020211062,0.11088448,0.0003521753,0.00005547929,2.2046466e-7,0.000013157128,0.87750095,0.009479868,0.00009545842,0.000045502242,0.0008259147],"about_ca_topic_score_codex":0.000026621678,"about_ca_topic_score_gemma":0.000020817122,"teacher_disagreement_score":0.22866526,"about_ca_system_score_codex":0.00014777019,"about_ca_system_score_gemma":0.00022181151,"threshold_uncertainty_score":0.999927},"labels":[],"label_agreement":null},{"id":"W3080933772","doi":"10.1007/s10548-020-00793-2","title":"The Sensitivity of Ear-EEG: Evaluating the Source-Sensor Relationship Using Forward Modeling","year":2020,"lang":"en","type":"article","venue":"Brain Topography","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Deutsche Forschungsgemeinschaft","keywords":"Electroencephalography; Sensitivity (control systems); EEG-fMRI; SIGNAL (programming language); Computer science; Channel (broadcasting); Brain activity and meditation; Audiology; Psychology; Neuroscience; Medicine; Engineering; Telecommunications; Electronic engineering","score_opus":0.1297765437826707,"score_gpt":0.3196874241865794,"score_spread":0.18991088040390872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3080933772","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94734323,0.000036607926,0.043110006,0.008762035,0.00016446336,0.0003023985,0.000007719478,0.00005897526,0.0002145942],"genre_scores_gemma":[0.9972938,0.000007151984,0.00045115157,0.0020740433,0.00010254778,0.0000048835986,0.000001054288,0.000019004132,0.000046395904],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980459,0.0007304234,0.000281345,0.00030649581,0.0003977985,0.00023800274],"domain_scores_gemma":[0.9963123,0.0031320378,0.0001656413,0.00026445484,0.000065311666,0.00006024854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012126334,0.00012424549,0.00012646559,0.000054456606,0.0008559578,0.00008941417,0.00016881696,0.000048744063,0.0000037652644],"category_scores_gemma":[0.0041472646,0.00007724033,0.00020508455,0.0007810715,0.00017373021,0.00011067463,0.00008806892,0.00027163504,0.0000040624204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011594652,0.00002127837,0.004721638,0.000024110093,0.000014182532,0.0000034991394,0.0009397329,0.18824172,0.78896934,0.0065735774,0.00011151622,0.010263497],"study_design_scores_gemma":[0.00013974996,0.00008210296,0.0013194516,0.000012367908,0.000018565332,0.000009712081,0.00027551563,0.9927317,0.0028542564,0.00223516,0.00022376182,0.00009765306],"about_ca_topic_score_codex":0.000039837836,"about_ca_topic_score_gemma":0.000008952775,"teacher_disagreement_score":0.80449,"about_ca_system_score_codex":0.000009912618,"about_ca_system_score_gemma":0.000027252601,"threshold_uncertainty_score":0.6583422},"labels":[],"label_agreement":null},{"id":"W3082176353","doi":"10.1101/2020.08.30.274662","title":"Effect of time delay on the synchronization of excitatory-inhibitory neural networks","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Bistability; Coupling (piping); Biological neuron model; Hopf bifurcation; Bifurcation; Synchronization (alternating current); Population; Neuron; Physics; Neuroscience; Control theory (sociology); Biological system; Computer science; Topology (electrical circuits); Mathematics; Nonlinear system; Biology; Materials science; Artificial intelligence; Combinatorics","score_opus":0.011296251697691743,"score_gpt":0.20892788464214357,"score_spread":0.19763163294445182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082176353","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99425113,0.00011909502,0.0022442294,0.00034907451,0.0016369383,0.0010789648,0.00011364177,0.00018959862,0.000017336983],"genre_scores_gemma":[0.9988581,0.00005688594,0.000029414907,0.00049554656,0.00038413965,0.00007106501,3.5641483e-7,0.000101525744,0.0000029852656],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.996832,0.00081463077,0.0005868209,0.00087191333,0.0005439874,0.000350664],"domain_scores_gemma":[0.9967018,0.0012487747,0.0007876102,0.0009461704,0.00018169105,0.00013395221],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006815888,0.0004804426,0.0005979222,0.00015318108,0.00014402629,0.00007518474,0.0006509121,0.00034205403,0.000039104958],"category_scores_gemma":[0.0014898239,0.00037095774,0.0002432877,0.0006388399,0.00025303796,0.000103879436,0.00038934013,0.0008432217,0.000028758157],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016776627,0.000060475766,0.00043044717,0.00035297137,0.000030163454,0.00002351948,0.000004252305,0.011329289,0.9863314,0.0008244058,0.0004355872,0.000009703784],"study_design_scores_gemma":[0.0003124996,0.00056578004,0.0016057215,0.00026008606,0.00008231055,2.204293e-8,2.4831692e-7,0.31267086,0.68406105,0.0000026565704,0.0001030085,0.00033577465],"about_ca_topic_score_codex":0.0000078994135,"about_ca_topic_score_gemma":1.9051721e-7,"teacher_disagreement_score":0.30227038,"about_ca_system_score_codex":0.00011872698,"about_ca_system_score_gemma":0.00012793431,"threshold_uncertainty_score":0.99987423},"labels":[],"label_agreement":null},{"id":"W3082266948","doi":"10.3389/fncel.2020.00245","title":"A Primer on Constructing Plasticity Phenotypes to Classify Experience-Dependent Development of the Visual Cortex","year":2020,"lang":"en","type":"article","venue":"Frontiers in Cellular Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Visual cortex; Neuroscience; Primer (cosmetics); Phenotype; Plasticity; Neuroplasticity; Biology; Psychology; Genetics; Chemistry","score_opus":0.035518750435475414,"score_gpt":0.25361016377899903,"score_spread":0.2180914133435236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082266948","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96178603,0.0000036016386,0.034625906,0.00035909523,0.0024897472,0.00038104944,0.000005009352,0.000034658136,0.00031489402],"genre_scores_gemma":[0.9952734,0.0000018122146,0.0017241832,0.002860161,0.000033015804,0.00001413705,1.9666874e-7,0.000014466618,0.000078628334],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976513,0.00012493486,0.00039165365,0.0007618746,0.0007044597,0.0003658063],"domain_scores_gemma":[0.99937785,0.00008908871,0.0001737103,0.00017839138,0.000023558692,0.00015739372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000117098636,0.00018403512,0.0002118767,0.00009885131,0.00025535646,0.000055557903,0.00067440944,0.00004694949,0.000008207898],"category_scores_gemma":[0.0012139675,0.00014081798,0.00005251858,0.0009564734,0.00033725327,0.00012902824,0.00029626387,0.00027970716,0.00000812386],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000639397,0.00005917428,0.006609239,0.000010062142,4.5194543e-7,0.000011758417,0.0010968557,0.00085123983,0.9879774,0.00020561421,0.000052816118,0.0030614706],"study_design_scores_gemma":[0.00022140067,0.00015651429,0.0074913944,0.00002799576,0.0000025950578,0.0000036334627,0.0003351101,0.031228693,0.9591002,0.00003695147,0.0012144716,0.00018102393],"about_ca_topic_score_codex":0.00000333778,"about_ca_topic_score_gemma":0.000002143215,"teacher_disagreement_score":0.03348736,"about_ca_system_score_codex":0.00006914549,"about_ca_system_score_gemma":0.00012704836,"threshold_uncertainty_score":0.5742391},"labels":[],"label_agreement":null},{"id":"W3082314017","doi":"10.1101/2020.09.02.278119","title":"Oscillatory entrainment of the Frequency Following Response in auditory cortical and subcortical structures","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Centre for Interdisciplinary Research in Music Media and Technology; McGill University; International Laboratory for Brain, Music and Sound Research; Centre for Research on Brain Language and Music; Montreal Neurological Institute and Hospital","funders":"","keywords":"Stimulus (psychology); Entrainment (biomusicology); Auditory cortex; Magnetoencephalography; Neuroscience; Electroencephalography; Audiology; Psychology; Physics; Acoustics; Rhythm; Medicine; Cognitive psychology","score_opus":0.017814562204656628,"score_gpt":0.22692857018145127,"score_spread":0.20911400797679464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082314017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99558675,0.00013228906,0.00010292664,0.0007284122,0.002679004,0.0005956133,0.000085429696,0.00008480068,0.000004785683],"genre_scores_gemma":[0.99881154,0.000051327417,0.0002443875,0.000615597,0.00018227135,0.00003917553,3.3412697e-8,0.00005484829,7.932273e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99666035,0.0007096712,0.00060254015,0.0009879728,0.0006186324,0.00042083315],"domain_scores_gemma":[0.9982422,0.00046420138,0.00028619732,0.00073961855,0.000051720814,0.0002160332],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005713472,0.00037856455,0.0004715766,0.00013672466,0.00015070828,0.00008959472,0.0004935358,0.00033261403,0.000013879005],"category_scores_gemma":[0.0028084465,0.00031472574,0.0001901604,0.00041368805,0.00033318083,0.00009318004,0.0006741208,0.0011092452,0.000003745675],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016004006,0.00004577866,0.011929157,0.00010166364,0.000015286232,0.00009405948,0.000015812344,0.000030341174,0.98448807,0.0030932291,0.000025789039,7.584637e-7],"study_design_scores_gemma":[0.00041096233,0.00009550111,0.69717616,0.00016184278,0.00005101597,5.0758434e-8,0.0000030698802,0.001157012,0.30037075,0.00008684989,0.0001225185,0.00036424582],"about_ca_topic_score_codex":0.0000143789075,"about_ca_topic_score_gemma":0.0000015535505,"teacher_disagreement_score":0.685247,"about_ca_system_score_codex":0.00023396274,"about_ca_system_score_gemma":0.00045339338,"threshold_uncertainty_score":0.9999305},"labels":[],"label_agreement":null},{"id":"W3082408352","doi":"10.1101/2020.08.30.274308","title":"Sensory stimulus evoked responses in layer 2/3 pyramidal neurons of the hind paw-related mouse primary somatosensory cortex","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Somatosensory system; Neuroscience; Sensory system; Neocortex; Stimulation; Barrel cortex; Stimulus (psychology); Sensory stimulation therapy; Electrophysiology; Psychology; Chemistry","score_opus":0.027668401855675255,"score_gpt":0.22968469889038795,"score_spread":0.2020162970347127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082408352","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99469674,0.000096841926,0.000022774144,0.0010025378,0.0019143118,0.0012415377,0.000616466,0.00036947406,0.000039310486],"genre_scores_gemma":[0.99812704,0.00013036701,0.000115434006,0.0011689757,0.00011303418,0.000060828454,3.5377582e-7,0.0001769682,0.0001070076],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9949185,0.0010420029,0.001036261,0.0015577798,0.00078735466,0.00065810303],"domain_scores_gemma":[0.9964963,0.0005692871,0.00084292324,0.0016618278,0.00019080649,0.00023883989],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00046436247,0.0006909034,0.00081631046,0.0003548544,0.00021094386,0.00014711957,0.0010488413,0.0005929858,0.000027301461],"category_scores_gemma":[0.0019088311,0.0006156877,0.00031831412,0.0010360063,0.0004807349,0.00018974165,0.0011714945,0.001925124,0.000047733425],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024815928,0.00021247947,0.0048704203,0.00026580214,0.000027833361,0.00022975463,0.000021038853,0.000803245,0.9926887,0.0005485556,0.00008188273,0.0000021402311],"study_design_scores_gemma":[0.0008550221,0.000076209864,0.29044464,0.00020772021,0.00006467428,2.5362434e-7,0.000003342017,0.00768096,0.6997999,0.000015863416,0.00021579443,0.00063561223],"about_ca_topic_score_codex":0.000049369464,"about_ca_topic_score_gemma":0.0000040728146,"teacher_disagreement_score":0.2928888,"about_ca_system_score_codex":0.00029757433,"about_ca_system_score_gemma":0.0007730125,"threshold_uncertainty_score":0.99962944},"labels":[],"label_agreement":null},{"id":"W3082516294","doi":"10.3389/fphys.2020.01053","title":"Influence of Delayed Conductance on Neuronal Synchronization","year":2020,"lang":"en","type":"article","venue":"Frontiers in Physiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação Araucária; Fundação de Amparo à Pesquisa do Estado de São Paulo; Deutsche Forschungsgemeinschaft; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Newton Fund","keywords":"Inhibitory postsynaptic potential; Excitatory postsynaptic potential; Conductance; Neuroscience; Synchronization (alternating current); Coupling (piping); Physics; Biology; Computer science; Channel (broadcasting); Materials science; Telecommunications; Condensed matter physics","score_opus":0.016448821405340104,"score_gpt":0.2309808600841612,"score_spread":0.2145320386788211,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082516294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99770916,0.00000928107,0.0011224039,0.00047100135,0.0003789505,0.00012713503,0.000013051919,0.000022848124,0.00014616988],"genre_scores_gemma":[0.9958862,0.0000310234,0.00016581926,0.0038424244,0.000041179672,0.00000616332,0.0000053650047,0.000008448935,0.0000133708],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99920994,0.000074609554,0.00016926696,0.00031084218,0.0000922849,0.00014303635],"domain_scores_gemma":[0.99967957,0.000064253705,0.00009476573,0.000107357744,0.000019092513,0.00003495916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000024087436,0.00008514598,0.00016190417,0.00004875221,0.00002788289,0.0000029810192,0.00016146716,0.000046834317,0.000007906139],"category_scores_gemma":[0.0003166981,0.00007971993,0.000025396292,0.00029938444,0.000123855,0.00009090955,0.000032823158,0.00014079791,0.000009887303],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021290488,0.000029289393,0.0007190657,0.00001427106,0.000001704227,0.0000030820543,0.000055767898,0.08577563,0.9095953,0.0020663156,0.0010153835,0.0005112954],"study_design_scores_gemma":[0.0017247263,0.0023569432,0.09959719,0.000042776912,0.000011640617,0.000005342014,0.00004924397,0.3717481,0.50178134,0.020713134,0.0014914995,0.00047803533],"about_ca_topic_score_codex":0.0000034719878,"about_ca_topic_score_gemma":5.054984e-7,"teacher_disagreement_score":0.4078139,"about_ca_system_score_codex":0.000020418413,"about_ca_system_score_gemma":0.000021067834,"threshold_uncertainty_score":0.32508847},"labels":[],"label_agreement":null},{"id":"W3083402625","doi":"10.1128/microbiolspec.edt-0001-2020","title":"The ASM Journals Committee Values the Contributions of Black Microbiologists","year":2020,"lang":"en","type":"article","venue":"Microbiology Spectrum","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Infection and Immunity","funders":"","keywords":"Geography","score_opus":0.02816985717180952,"score_gpt":0.26886785455742357,"score_spread":0.24069799738561404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083402625","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8269238,0.00048128775,0.00043552034,0.16973636,0.0008026038,0.0004216271,0.00038799335,0.00006865432,0.000742196],"genre_scores_gemma":[0.99364746,0.00031489032,0.000010663444,0.0055047446,0.00016202172,0.0000045543825,0.000011335756,0.000009941787,0.00033441666],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99843353,0.00048633083,0.0003566685,0.00029524986,0.00004583877,0.0003823933],"domain_scores_gemma":[0.9984356,0.00092605833,0.0002536391,0.00028695742,0.000046401612,0.00005133986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038197634,0.00015232507,0.00021964572,0.000024713689,0.0006073925,0.000055932236,0.00066172064,0.00010249144,0.00007737236],"category_scores_gemma":[0.00077196566,0.00007726131,0.00015170766,0.0002723449,0.0013054765,0.000042285053,0.00018504601,0.0004212503,0.00014176531],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000479429,0.000020233265,0.00017918201,0.0000026764035,0.000015559683,0.0000035189173,0.000078835634,0.000032016414,0.97743636,0.0057857023,0.016296724,0.00010125417],"study_design_scores_gemma":[0.00033294913,0.0002452998,0.0008253074,0.0000074378977,0.000018940422,0.00012212341,0.00006792964,0.00027109322,0.92750686,0.0045992993,0.06588199,0.00012074004],"about_ca_topic_score_codex":0.000011094389,"about_ca_topic_score_gemma":0.000015277015,"teacher_disagreement_score":0.16672367,"about_ca_system_score_codex":0.000029603707,"about_ca_system_score_gemma":0.000036563517,"threshold_uncertainty_score":0.4810083},"labels":[],"label_agreement":null},{"id":"W3083624247","doi":"10.3389/fncom.2020.00078","title":"Learning Long Temporal Sequences in Spiking Networks by Multiplexing Neural Oscillations","year":2020,"lang":"en","type":"article","venue":"Frontiers in Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Spiking neural network; Multiplexing; Neuroscience; Artificial neural network; Artificial intelligence; Psychology; Telecommunications","score_opus":0.032122361152030265,"score_gpt":0.2572273482475795,"score_spread":0.2251049870955492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083624247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67719036,0.00005005071,0.31732953,0.0029815394,0.0019102693,0.0003024061,0.0000126733485,0.000118919656,0.00010423557],"genre_scores_gemma":[0.9942285,0.000018326898,0.002129139,0.0034662313,0.00006888147,0.000010908824,0.000017153137,0.000017527474,0.000043335363],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975822,0.00024894136,0.0004134538,0.00081900076,0.0004971744,0.00043921405],"domain_scores_gemma":[0.9993075,0.00028405286,0.00016590183,0.00007994973,0.000026738544,0.00013582132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002197444,0.00019178071,0.0002056807,0.00020952932,0.0003209039,0.00019584829,0.00038820665,0.000055488596,0.0000043609757],"category_scores_gemma":[0.00095556735,0.00020376446,0.00005214054,0.001746016,0.0002559657,0.0006946796,0.00012134109,0.0005509247,0.0000023783703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000180772,0.000020590169,0.17629501,0.000004984346,2.0551076e-7,0.000045968856,0.00010117726,0.8130069,0.008360461,0.000114406525,0.00023265455,0.0017995584],"study_design_scores_gemma":[0.0003193827,0.00009925773,0.030538814,0.000016572749,9.5272435e-7,0.000012758342,0.000052502415,0.9677075,0.0001627366,0.000517488,0.00037246384,0.00019957358],"about_ca_topic_score_codex":0.000026332893,"about_ca_topic_score_gemma":0.0000091716465,"teacher_disagreement_score":0.31703812,"about_ca_system_score_codex":0.000080523,"about_ca_system_score_gemma":0.000054316326,"threshold_uncertainty_score":0.8309274},"labels":[],"label_agreement":null},{"id":"W3084138418","doi":"10.1038/s41598-020-72335-6","title":"Neurostimulation stabilizes spiking neural networks by disrupting seizure-like oscillatory transitions","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Ontario Brain Institute; University of Toronto; Krembil Foundation","funders":"Natural Sciences and Engineering Research Council of Canada; Krembil Foundation","keywords":"Neuroscience; Inhibitory postsynaptic potential; Excitatory postsynaptic potential; Neurostimulation; Network dynamics; Epilepsy; Local field potential; Biological neural network; Artificial neural network; Computer science; Nerve net; Stimulation; Bursting; Psychology; Biology; Artificial intelligence; Mathematics","score_opus":0.027905185243067447,"score_gpt":0.2478054267990304,"score_spread":0.21990024155596294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3084138418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97900975,0.000047467012,0.008645477,0.0018682756,0.009293879,0.00043414618,0.000013422833,0.00033179185,0.00035577614],"genre_scores_gemma":[0.997772,0.0000023516448,0.000041911662,0.0016403573,0.00016875267,0.000010782269,0.000057517056,0.000031193726,0.00027517328],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99704015,0.0001310339,0.0005480472,0.0012501373,0.0006003657,0.00043028206],"domain_scores_gemma":[0.998852,0.000121282435,0.00028792085,0.00042625234,0.00006762396,0.00024489014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041685943,0.00020782028,0.00018962772,0.00007824336,0.00093077036,0.0005855845,0.00014719283,0.000070549744,0.00007283807],"category_scores_gemma":[0.0005045973,0.00019564708,0.00013579402,0.00092861353,0.00024110814,0.00055008417,0.00007470098,0.00027544843,0.000009442037],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018806282,0.000040618976,0.001790806,0.000019396672,0.0000020123846,0.0002524921,0.00032406423,0.09907115,0.89068496,0.000067481225,0.005400974,0.0023272089],"study_design_scores_gemma":[0.00015352352,0.000075222284,0.00044985968,0.000012873647,0.000018250723,0.00018134945,0.000048860467,0.9700723,0.013303755,0.0003966086,0.014985923,0.0003014386],"about_ca_topic_score_codex":0.0000054358256,"about_ca_topic_score_gemma":0.0000043962473,"teacher_disagreement_score":0.8773812,"about_ca_system_score_codex":0.000036143945,"about_ca_system_score_gemma":0.000034983175,"threshold_uncertainty_score":0.79782563},"labels":[],"label_agreement":null},{"id":"W3084372653","doi":"10.1093/oxfordhb/9780190069162.013.7","title":"Neuronal Excitability in Memory Allocation: Mechanisms and Consequences","year":2020,"lang":"en","type":"book-chapter","venue":"Oxford University Press eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Engram; Neuroscience; Generalization; Psychology; Memory formation; Process (computing); Function (biology); Computer science; Biology; Hippocampus; Evolutionary biology","score_opus":0.038167475540396074,"score_gpt":0.20641143252882346,"score_spread":0.1682439569884274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3084372653","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0037233967,0.0000106210755,0.00024518397,0.00037872832,0.00038800918,0.00046582596,0.00009754596,0.00009406542,0.9945966],"genre_scores_gemma":[0.16824023,0.0002618974,0.00016283173,0.0010369088,0.000100852485,0.0000019880183,0.0000174605,0.00004260225,0.8301352],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99872845,0.00006855247,0.00015372022,0.0006624697,0.00022876944,0.00015802693],"domain_scores_gemma":[0.99936926,0.0001482554,0.00013151712,0.00021149556,0.00002856649,0.00011088141],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000069679256,0.00023090524,0.00024119607,0.00009414637,0.00013174793,0.000041954325,0.00026365198,0.00017525541,0.000023589742],"category_scores_gemma":[0.000036904323,0.00025926405,0.00006799792,0.000012670351,0.0003843665,0.000113972084,0.0002606107,0.00038937177,8.732694e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000113714435,0.0000070481083,0.0000017551479,0.00005400239,0.0000053665735,0.00019193458,0.000057462705,0.000008067119,0.014324391,0.9837944,0.00005279835,0.0013890587],"study_design_scores_gemma":[0.0009844147,0.00033695585,0.00010004836,0.00011126238,0.00007623933,0.000059297185,0.00005609184,0.0021697981,0.008492533,0.050385263,0.9364203,0.00080777233],"about_ca_topic_score_codex":0.000025403817,"about_ca_topic_score_gemma":0.000042358683,"teacher_disagreement_score":0.9363675,"about_ca_system_score_codex":0.00007155191,"about_ca_system_score_gemma":0.000070237315,"threshold_uncertainty_score":0.99998593},"labels":[],"label_agreement":null},{"id":"W3084673941","doi":"10.1101/2020.09.11.293381","title":"Topographic gradients define the projection patterns of the claustrum core and shell in mice","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Women and Children’s Health Research Institute","funders":"University of Alberta","keywords":"Claustrum; Neuroscience; Biology; Cortex (anatomy); Parvalbumin; Inhibitory postsynaptic potential; Anatomy; Nucleus","score_opus":0.030652680757998905,"score_gpt":0.22199300662103155,"score_spread":0.19134032586303265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3084673941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99640477,0.00006083445,0.000042106076,0.0010725355,0.0013156058,0.0008903877,0.00014578225,0.00006306889,0.0000049180703],"genre_scores_gemma":[0.99899006,0.00023261929,0.000031971063,0.00052962604,0.00010061445,0.00007092674,1.0808383e-7,0.00004001833,0.0000040779355],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99810886,0.00018762506,0.00037188965,0.00074222387,0.0003098787,0.00027952425],"domain_scores_gemma":[0.9987979,0.00010224402,0.00037012517,0.0005848965,0.000075270735,0.00006958727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026171567,0.00029072483,0.0002719556,0.00014648301,0.00015281308,0.000093764575,0.00051755476,0.00020426934,0.000004484865],"category_scores_gemma":[0.00030672344,0.00019786795,0.000107162195,0.0007777962,0.00015908663,0.000079752834,0.0005643356,0.0008337321,0.0000024711394],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030002217,0.00005826352,0.103230454,0.00021906497,0.000009647493,0.000008242283,0.000016230872,0.000030396139,0.89483696,0.0015296361,0.00002756346,0.0000035104688],"study_design_scores_gemma":[0.00035312274,0.00007325563,0.7590966,0.00028463177,0.0000466762,8.151407e-8,0.0000050871217,0.0025647692,0.23684913,0.000041484083,0.00038477135,0.00030035115],"about_ca_topic_score_codex":0.00017861748,"about_ca_topic_score_gemma":0.00004301662,"teacher_disagreement_score":0.65798783,"about_ca_system_score_codex":0.00006234686,"about_ca_system_score_gemma":0.000096034346,"threshold_uncertainty_score":0.8068821},"labels":[],"label_agreement":null},{"id":"W3084780304","doi":"10.1111/ejn.14967","title":"Effects of visual adaptation on orientation selectivity in cat secondary visual cortex","year":2020,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Visual cortex; Adaptation (eye); Neuroscience; Orientation (vector space); Selectivity; Electrophysiology; Visual system; Neuron; Cortical neurons; Orientation column; Neuroplasticity; Psychology; Biology; Striate cortex; Geometry; Mathematics","score_opus":0.0255622738094317,"score_gpt":0.2695693994313081,"score_spread":0.24400712562187638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3084780304","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99453366,0.000005496648,0.0037817145,0.0003075328,0.0008480464,0.00015288206,0.0000022154782,0.000016014686,0.00035243874],"genre_scores_gemma":[0.9974977,0.00002953441,0.000054088898,0.0022793487,0.00009991897,5.41049e-7,3.2133028e-7,0.000018570596,0.000019993844],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975478,0.0008498062,0.00048154968,0.0003591626,0.0005614212,0.00020025426],"domain_scores_gemma":[0.99880034,0.0003572195,0.00055689726,0.00006602368,0.000074641386,0.00014490903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044924265,0.0001398351,0.0002009825,0.00020284388,0.00008889945,0.00005330157,0.0002824058,0.000015454232,0.0000042506063],"category_scores_gemma":[0.0020905656,0.00012304794,0.00007530432,0.00094268704,0.00012686147,0.0005349131,0.000055645352,0.00033018712,0.0000102078],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023793202,0.0001910293,0.00016424234,0.000028625085,6.085693e-7,0.00035837071,0.0004306343,0.001471235,0.9862667,0.00007971045,0.00002419362,0.010746728],"study_design_scores_gemma":[0.0015333724,0.0081285,0.40714654,0.000082929684,0.0000137033885,0.0001285435,0.000064055974,0.08835155,0.4940573,0.00003896423,0.0002518125,0.00020273526],"about_ca_topic_score_codex":0.0000018709475,"about_ca_topic_score_gemma":9.3313e-7,"teacher_disagreement_score":0.4922094,"about_ca_system_score_codex":0.000038369948,"about_ca_system_score_gemma":0.00009464982,"threshold_uncertainty_score":0.5017749},"labels":[],"label_agreement":null},{"id":"W3085891723","doi":"10.1088/1741-2552/abb7a5","title":"Insights into human cognition from intracranial EEG: A review of audition, memory, internal cognition, and causality","year":2020,"lang":"en","type":"review","venue":"Journal of Neural Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hotchkiss Brain Institute; Ontario Brain Institute; University of Calgary","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; James S. McDonnell Foundation","keywords":"Neurocognitive; Cognition; Electroencephalography; Cognitive psychology; Cognitive science; Psychology; Computer science; Neuroscience","score_opus":0.03630004717495483,"score_gpt":0.29424362201195814,"score_spread":0.2579435748370033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3085891723","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033555827,0.99388117,0.0008079399,0.00019183871,0.0011595698,0.00043833826,0.00008518882,0.000035677076,0.000044705514],"genre_scores_gemma":[0.02040159,0.9784242,0.000103436,0.00029501028,0.00066824857,0.000009369183,0.000047051682,0.00004638097,0.000004732957],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9973735,0.00020497892,0.0014736359,0.00033386546,0.00045700633,0.00015696768],"domain_scores_gemma":[0.997653,0.00039768533,0.0014251146,0.00013764514,0.0002030006,0.00018351938],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016756404,0.00038180643,0.0015061966,0.00024340943,0.000076241566,0.00006127741,0.00026831453,0.0001400566,0.00004597663],"category_scores_gemma":[0.0010380736,0.00030832,0.00042323765,0.00035198705,0.00006555939,0.00039125356,0.00009887895,0.00090898667,0.0000044593385],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008618513,0.0002122526,0.0000012593471,0.147951,0.0004037837,0.0016892334,0.00018409562,0.00006769066,0.12552606,0.00036811223,0.00093319,0.72257715],"study_design_scores_gemma":[0.002692966,0.0021262036,0.00017278254,0.5061262,0.0069415728,0.006346121,0.00002590006,0.0073335143,0.0040250695,0.0029401374,0.45903945,0.0022300496],"about_ca_topic_score_codex":0.000008816519,"about_ca_topic_score_gemma":0.0000020640853,"teacher_disagreement_score":0.7203471,"about_ca_system_score_codex":0.00007777919,"about_ca_system_score_gemma":0.00006595928,"threshold_uncertainty_score":0.9999369},"labels":[],"label_agreement":null},{"id":"W3085995286","doi":"10.1038/s41467-020-18436-2","title":"Ignoring correlated activity causes a failure of retinal population codes","year":2020,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Eye Institute; U.S. Department of Health and Human Services; National Institutes of Health; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Alfred P. Sloan Foundation","keywords":"Noise (video); Decoding methods; Population; Retinal; Computer science; Adaptation (eye); Neuroscience; Biology; Artificial intelligence; Algorithm; Medicine","score_opus":0.04846581790141486,"score_gpt":0.30288497539051995,"score_spread":0.2544191574891051,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3085995286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9871665,0.00011085129,0.0002360641,0.01128682,0.00012210206,0.00019356677,0.000046979265,0.00011866633,0.0007184542],"genre_scores_gemma":[0.99868524,0.00008030819,0.0005921077,0.000544086,0.000023759665,0.000007313095,0.000032590022,0.000010037872,0.000024561234],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992605,0.00016846586,0.000147832,0.00017508108,0.00015496855,0.00009317522],"domain_scores_gemma":[0.9988315,0.00036572476,0.00015160315,0.0005397192,0.00006320834,0.000048223923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000066058994,0.0000814358,0.00011733094,0.000043492375,0.00021456106,0.000022865443,0.00045855695,0.00013577788,0.00001133577],"category_scores_gemma":[0.0009743822,0.000077381104,0.000049609465,0.00047512172,0.000073570205,0.00016803986,0.00018873384,0.0007152497,0.0000065380227],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046290046,0.00007841983,0.013674427,0.000017878787,0.000006007947,0.0000010362126,0.00018854234,0.00018182886,0.9625068,0.021548973,0.0005330656,0.0012167577],"study_design_scores_gemma":[0.0011107111,0.00040685013,0.37247127,0.00015629282,0.00012972664,0.000042480304,0.00021769396,0.21031569,0.3963985,0.0017965508,0.016236128,0.0007180888],"about_ca_topic_score_codex":0.000042142525,"about_ca_topic_score_gemma":0.00014888348,"teacher_disagreement_score":0.5661083,"about_ca_system_score_codex":0.000023304112,"about_ca_system_score_gemma":0.000016469741,"threshold_uncertainty_score":0.315551},"labels":[],"label_agreement":null},{"id":"W3086788163","doi":"10.1016/j.neubiorev.2020.09.003","title":"Delineating implicit and explicit processes in neurofeedback learning","year":2020,"lang":"en","type":"review","venue":"Neuroscience & Biobehavioral Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fonds De La Recherche Scientifique - FNRS; Fondation Philippe Wiener - Maurice Anspach; Universitaire Stichting; European Research Council; Canadian Institute for Advanced Research","keywords":"Neurofeedback; Categorization; Psychology; Cognitive psychology; Implicit learning; Neural correlates of consciousness; Psychological intervention; Computer science; Cognition; Cognitive science; Electroencephalography; Neuroscience; Artificial intelligence","score_opus":0.19391922108947962,"score_gpt":0.39611153221790113,"score_spread":0.2021923111284215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3086788163","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001388195,0.9954444,0.000039242972,0.000020841178,0.0005576081,0.0022632119,0.000027114524,0.00015885432,0.000100519195],"genre_scores_gemma":[0.0005971754,0.99763954,0.00006522068,0.00094942545,0.00013330007,0.00035922686,0.000009109463,0.000102335805,0.0001446984],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9942669,0.00058374467,0.0015795752,0.0022190886,0.00052683114,0.00082386174],"domain_scores_gemma":[0.99809927,0.000048055867,0.0010110557,0.00046083203,0.000044258995,0.00033650725],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00051869673,0.0009110126,0.002292297,0.00038240285,0.00037347898,0.0004445135,0.00091525,0.00024226804,0.000020388208],"category_scores_gemma":[0.0048314338,0.0007054252,0.00033827632,0.003297897,0.00021498297,0.0005762231,0.0005697522,0.00155706,0.00010263144],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028965992,0.00004904682,0.00007333554,0.0039459495,2.0580561e-8,0.00009837488,0.000033703276,0.0000015348553,0.0046723685,0.00003819335,0.000041004485,0.99104357],"study_design_scores_gemma":[0.000105269384,0.00028169362,0.000020267586,0.0038194102,0.00009120225,0.0002393635,0.000009510351,0.00027585166,0.000020929161,0.000007940132,0.9945231,0.0006054662],"about_ca_topic_score_codex":0.000029341023,"about_ca_topic_score_gemma":0.000013974883,"teacher_disagreement_score":0.9944821,"about_ca_system_score_codex":0.00012146213,"about_ca_system_score_gemma":0.00028502347,"threshold_uncertainty_score":0.9995397},"labels":[],"label_agreement":null},{"id":"W3087025945","doi":"10.1016/b978-0-444-64150-2.00009-5","title":"Critical periods of brain development","year":2020,"lang":"en","type":"book-chapter","venue":"Handbook of clinical neurology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":71,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University; Centre for Research on Brain Language and Music","funders":"","keywords":"Sensory system; Perception; Neuroscience; Stimulus (psychology); Neuroplasticity; Psychology; Plasticity; Cognitive psychology; Cognitive science; Physics","score_opus":0.1175449782985624,"score_gpt":0.3675941771177653,"score_spread":0.2500491988192029,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087025945","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036776654,0.0010388744,0.0046185767,0.052408762,0.014178395,0.002322496,0.00040841918,0.00042875012,0.88781905],"genre_scores_gemma":[0.59332085,0.0030510244,0.004468836,0.15983705,0.0031893363,0.000057740122,0.00009850149,0.00066224736,0.23531443],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963301,0.00022697504,0.0018861423,0.0008858994,0.00041357972,0.00025733648],"domain_scores_gemma":[0.9933129,0.005349246,0.0006275276,0.000386834,0.000113694405,0.00020979151],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038053512,0.00032031248,0.0012372023,0.000106557745,0.00005837577,0.000010103858,0.00042725675,0.0006680767,0.0005811052],"category_scores_gemma":[0.0059543718,0.00029394435,0.00043245038,0.000036545873,0.0012197298,0.00004630344,0.000317696,0.0010648496,0.00013355138],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0046135136,0.00060107943,0.00051850855,0.000912905,0.00012579365,0.0010373975,0.00014039026,0.000017160106,0.095612824,0.77281725,0.013956734,0.10964645],"study_design_scores_gemma":[0.0016441821,0.0064274883,0.0008710425,0.00033055453,0.000111897134,0.00011755699,9.5029145e-7,0.00082479505,0.022834716,0.043942306,0.92216814,0.0007263467],"about_ca_topic_score_codex":9.3164437e-7,"about_ca_topic_score_gemma":0.0000038340318,"teacher_disagreement_score":0.9082114,"about_ca_system_score_codex":0.000005170164,"about_ca_system_score_gemma":0.00024505955,"threshold_uncertainty_score":0.99995124},"labels":[],"label_agreement":null},{"id":"W3087122456","doi":"10.1038/s41467-020-18435-3","title":"Phase of firing coding of learning variables across the fronto-striatal network during feature-based learning","year":2020,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Government of Canada; National Institute of Biomedical Imaging and Bioengineering; U.S. Department of Health and Human Services","keywords":"Neuroscience; Striatum; Anterior cingulate cortex; Prefrontal cortex; Coding (social sciences); Cortex (anatomy); Psychology; Computer science; Biology; Cognition; Mathematics","score_opus":0.04159305384993641,"score_gpt":0.31606243109909243,"score_spread":0.27446937724915604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087122456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9811484,0.0022496197,0.0049509094,0.009053867,0.00036297817,0.00053420244,0.00008719459,0.00021941957,0.0013934119],"genre_scores_gemma":[0.99819356,0.00018313077,0.0011331906,0.00027365403,0.000086126536,0.000010527448,0.00003873885,0.000018825882,0.000062252206],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987151,0.0003624172,0.0002649916,0.00021713489,0.00021852093,0.00022185154],"domain_scores_gemma":[0.9976924,0.0012306458,0.00035781224,0.0005885088,0.000080349775,0.00005025334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032735112,0.00012262401,0.00019699226,0.000026314588,0.00094716146,0.00004907357,0.00093834853,0.00014166711,0.0000095507485],"category_scores_gemma":[0.0020990232,0.00009999005,0.00010395113,0.0006092479,0.0001720922,0.00012807373,0.00041654237,0.0017821378,0.0000017001031],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020019842,0.0001459531,0.0043795994,0.000078353434,0.000022622335,0.0000017650178,0.000983498,0.08098083,0.90348005,0.006930129,0.00027089188,0.0025260763],"study_design_scores_gemma":[0.0045183343,0.0005246112,0.005002656,0.0003770016,0.00010267989,0.0000135074815,0.0006999455,0.72580934,0.2209205,0.00024480544,0.041275475,0.00051115593],"about_ca_topic_score_codex":0.00000856565,"about_ca_topic_score_gemma":0.00002834397,"teacher_disagreement_score":0.68255955,"about_ca_system_score_codex":0.000024906503,"about_ca_system_score_gemma":0.000035605117,"threshold_uncertainty_score":0.7742601},"labels":[],"label_agreement":null},{"id":"W3087177351","doi":"10.1038/s41598-020-72128-x","title":"Beta oscillations following performance feedback predict subsequent recall of task-relevant information","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Victoria; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; European Commission","keywords":"Recall; Reinforcement learning; Stimulus (psychology); Reinforcement; Prefrontal cortex; Task (project management); Electroencephalography; Mean squared prediction error; Cognitive psychology; Psychology; Computer science; Neuroscience; Cognition; Artificial intelligence; Machine learning; Social psychology","score_opus":0.026158898654315237,"score_gpt":0.22940658605441303,"score_spread":0.2032476874000978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087177351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9900816,0.000009158715,0.0005703532,0.00070359645,0.005412341,0.00036775594,0.000011619354,0.00009700473,0.0027465841],"genre_scores_gemma":[0.9991712,0.0000075488924,0.00012365232,0.00023848047,0.000040976924,0.000009135585,0.000048601858,0.000008244568,0.00035214116],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99785036,0.00004221854,0.00068008614,0.00045357292,0.0007346941,0.00023908289],"domain_scores_gemma":[0.9988607,0.00004769095,0.0004451506,0.00040810052,0.00010187287,0.00013644135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005657817,0.00012174844,0.00016319832,0.00012212094,0.0003368175,0.00020047114,0.000155147,0.00004069768,0.000038716607],"category_scores_gemma":[0.0006220862,0.0001059449,0.00012749659,0.0008521974,0.00013705301,0.0011166505,0.00009255128,0.0001231375,0.00005324854],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002692291,0.000046024943,0.009898518,0.000109836845,0.000008675445,0.00006249374,0.0007357036,0.0048000743,0.97176635,0.00036717643,0.00526159,0.0069166073],"study_design_scores_gemma":[0.0006669941,0.00043577715,0.024925437,0.00018340915,0.000076761324,0.00024139472,0.00014584468,0.20864546,0.6204903,0.0017398491,0.14177309,0.0006757031],"about_ca_topic_score_codex":0.000008658175,"about_ca_topic_score_gemma":0.0000023048772,"teacher_disagreement_score":0.3512761,"about_ca_system_score_codex":0.000041540934,"about_ca_system_score_gemma":0.00011293576,"threshold_uncertainty_score":0.43203074},"labels":[],"label_agreement":null},{"id":"W3087499178","doi":"10.3389/fncel.2020.00277","title":"Integration of Within-Cell Experimental Data With Multi-Compartmental Modeling Predicts H-Channel Densities and Distributions in Hippocampal OLM Cells","year":2020,"lang":"en","type":"article","venue":"Frontiers in Cellular Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; University of Toronto","funders":"National Institute of Neurological Disorders and Stroke; National Center for Research Resources; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; South Plains Foundation","keywords":"Hippocampal formation; Neuroscience; Hippocampus; Cell type; Computer science; Electrophysiology; Biological system; Biology; Cell","score_opus":0.07079464042394533,"score_gpt":0.25418259467997495,"score_spread":0.1833879542560296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087499178","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8261538,0.00007595591,0.17262703,0.00009274475,0.0005756607,0.00031469399,0.00012391328,0.000024190165,0.000012020021],"genre_scores_gemma":[0.996191,0.000033422577,0.003424579,0.00026374543,0.000016663767,0.0000095018995,0.00002820115,0.0000142367235,0.000018650157],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99814934,0.000114600814,0.00033843055,0.000793693,0.00032978103,0.00027418273],"domain_scores_gemma":[0.99943477,0.000032324857,0.00012303474,0.00027584517,0.000016031707,0.000117975535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015705296,0.00018774696,0.00022581061,0.00012161197,0.00012110879,0.000069847956,0.0004245755,0.000044483,8.8343086e-7],"category_scores_gemma":[0.00010666837,0.00016851389,0.000020718504,0.000526344,0.0003528127,0.0006085606,0.00025873314,0.00024077567,6.433167e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008925566,0.00017641333,0.0009907937,0.000016133718,3.685184e-7,0.00004098219,0.00081974105,0.031813584,0.9659419,0.000030500603,0.000054731634,0.000025574653],"study_design_scores_gemma":[0.00046353464,0.00015451496,0.000093003575,0.000015562004,0.0000027737558,0.0000046105074,0.00059020816,0.60653967,0.39200103,0.000031080246,0.0000049942723,0.000099018864],"about_ca_topic_score_codex":0.00002533988,"about_ca_topic_score_gemma":0.000008903106,"teacher_disagreement_score":0.5747261,"about_ca_system_score_codex":0.000049459053,"about_ca_system_score_gemma":0.000049236758,"threshold_uncertainty_score":0.6871796},"labels":[],"label_agreement":null},{"id":"W3087646269","doi":"10.1162/neco_a_01327","title":"Synchrony and Complexity in State-Related EEG Networks: An Application of Spectral Graph Theory","year":2020,"lang":"en","type":"article","venue":"Neural Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Electroencephalography; Spectral graph theory; Mathematics; Correlation; Entropy (arrow of time); Graph; Graph theory; Resting state fMRI; Neuroimaging; Topology (electrical circuits); Pattern recognition (psychology); Artificial intelligence; Computer science; Neuroscience; Psychology; Discrete mathematics; Combinatorics; Physics; Line graph","score_opus":0.03484250682635059,"score_gpt":0.26387460756235864,"score_spread":0.22903210073600805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087646269","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9503865,0.000017631915,0.048620094,0.00044007713,0.000090131056,0.0002979856,0.0000073126844,0.00007157776,0.00006867351],"genre_scores_gemma":[0.9991647,0.000010396255,0.00013249142,0.0006233206,0.000019314173,0.0000049328646,0.00003109346,0.000011210773,0.0000025499883],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988866,0.00023833127,0.00026643556,0.0003352237,0.00013402858,0.00013938914],"domain_scores_gemma":[0.99955314,0.0001446239,0.00013571173,0.00007326957,0.000023300388,0.000069935544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012028701,0.00010432734,0.00014090963,0.00006609084,0.000061363804,0.000029150018,0.000084806394,0.000037570833,0.000005235509],"category_scores_gemma":[0.000045300305,0.00010130141,0.000027163245,0.00043775953,0.00012447119,0.00024963854,0.000030832813,0.00016245343,0.000002076725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038099752,0.00012857321,0.0049346965,0.00005660266,0.000004341151,0.000011147985,0.0007744314,0.60712254,0.28748557,0.027134785,0.00002260827,0.071943685],"study_design_scores_gemma":[0.00036686304,0.00026077311,0.06813927,0.000004306814,0.000003904813,0.000006126898,0.00002104718,0.8986066,0.0016553933,0.03084489,0.0000027983804,0.000088000575],"about_ca_topic_score_codex":0.000035609766,"about_ca_topic_score_gemma":0.000028616036,"teacher_disagreement_score":0.29148406,"about_ca_system_score_codex":0.000016125483,"about_ca_system_score_gemma":0.000006854654,"threshold_uncertainty_score":0.41309515},"labels":[],"label_agreement":null},{"id":"W3087731662","doi":"10.1101/471987","title":"Predictive learning as a network mechanism for extracting low-dimensional latent space representations","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"Natural Sciences and Engineering Research Council of Canada; University of Oregon; Fonds de recherche du Québec – Nature et technologies; University of Washington; DeepMind; Harvard University; National Science Foundation","keywords":"Artificial intelligence; Computer science; Artificial neural network; Latent variable; Curse of dimensionality; Latent variable model; Machine learning; Recurrent neural network; Task (project management); Focus (optics); Space (punctuation); Sequence learning","score_opus":0.022811899020473543,"score_gpt":0.25022287142105815,"score_spread":0.2274109724005846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087731662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9720378,0.000050421717,0.019097611,0.00074359874,0.0051803007,0.0019320818,0.00017788654,0.0007335183,0.000046774257],"genre_scores_gemma":[0.99193364,0.000060753584,0.0048695444,0.0007146406,0.0016543915,0.0004977849,0.000001135542,0.00016760807,0.00010052553],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99608517,0.0002876501,0.00055714045,0.0017004722,0.0005887444,0.0007808076],"domain_scores_gemma":[0.9968239,0.00067489594,0.00078068796,0.0007750633,0.0006739225,0.0002715488],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00067324686,0.000544376,0.00045983598,0.00019738298,0.00089154387,0.00034160254,0.00043192753,0.0004618921,0.00005593169],"category_scores_gemma":[0.0027447233,0.00058379496,0.00025730353,0.0004885947,0.00013948152,0.00027238848,0.00061649975,0.0010921129,0.00009666838],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017030507,0.000117862226,0.0005089135,0.00013553952,0.00006121105,0.000047613314,0.000013655936,0.01428864,0.9703894,0.013542084,0.00072345015,0.0000013151865],"study_design_scores_gemma":[0.0009887152,0.0005104608,0.0066828034,0.0008737405,0.0002234174,2.4374256e-7,0.0000068325194,0.26613894,0.721106,0.0009919517,0.0011320537,0.0013448193],"about_ca_topic_score_codex":0.0000329903,"about_ca_topic_score_gemma":0.0000014974482,"teacher_disagreement_score":0.2518503,"about_ca_system_score_codex":0.00024930242,"about_ca_system_score_gemma":0.00039478016,"threshold_uncertainty_score":0.9996613},"labels":[],"label_agreement":null},{"id":"W3088066181","doi":"10.1101/2020.09.25.314211","title":"Neurons learn by predicting future activity","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Defense Advanced Research Projects Agency; National Institutes of Health; Compute Canada","keywords":"Predictive coding; Surprise; Computer science; Neuron; Neuroscience; Artificial intelligence; Artificial neural network; Learning rule; Machine learning; Brain activity and meditation; Mechanism (biology); Hebbian theory; Coding (social sciences); Psychology; Electroencephalography; Mathematics; Communication","score_opus":0.019922358328669572,"score_gpt":0.22118668542723727,"score_spread":0.2012643270985677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088066181","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9858046,0.00012712361,0.0011441482,0.005317118,0.004897659,0.0007779307,0.0007303371,0.0011613833,0.000039667982],"genre_scores_gemma":[0.99616426,0.0002607924,0.00019238876,0.0015634927,0.0015189394,0.00009409564,3.4013297e-7,0.0001773349,0.000028333583],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9961108,0.00033798578,0.00039451406,0.0018767016,0.00061104645,0.00066892774],"domain_scores_gemma":[0.997759,0.00016402475,0.00049812614,0.001049741,0.00012130161,0.00040779787],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00024775355,0.00065726496,0.0005372186,0.00013956538,0.00039544833,0.00041986033,0.0007861621,0.0005350523,0.000045313733],"category_scores_gemma":[0.00078327896,0.0006988199,0.00022178647,0.0006369607,0.00012901529,0.0002949101,0.000897518,0.0021710554,0.00011018651],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004199001,0.00010127944,0.0008984884,0.0001793249,0.000017927085,0.00006992886,0.000004498292,0.000056961297,0.9954697,0.0002504078,0.0028981324,0.00001138504],"study_design_scores_gemma":[0.00043172113,0.0001516518,0.019935237,0.00012673809,0.00008377427,5.4364005e-8,0.0000016821833,0.013748149,0.9281666,0.00000575471,0.03629917,0.001049448],"about_ca_topic_score_codex":0.000029575385,"about_ca_topic_score_gemma":0.0000012800635,"teacher_disagreement_score":0.067303054,"about_ca_system_score_codex":0.00018047674,"about_ca_system_score_gemma":0.000274171,"threshold_uncertainty_score":0.9995463},"labels":[],"label_agreement":null},{"id":"W3088560821","doi":"10.1016/j.heares.2020.108080","title":"A novel approach to investigate subcortical and cortical sensitivity to temporal structure simultaneously","year":2020,"lang":"en","type":"article","venue":"Hearing Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto; Ontario Brain Institute; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada First Research Excellence Fund; Western University","keywords":"Auditory cortex; Neuroscience; Stimulus (psychology); Neural adaptation; Auditory system; Audiology; Brainstem; Psychology; Phase locking; Adaptation (eye); Medicine; Physics; Cognitive psychology; Phase (matter)","score_opus":0.2028892763836053,"score_gpt":0.35669958381713296,"score_spread":0.15381030743352767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088560821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9866972,0.0000015621033,0.003707093,0.008643197,0.000049945123,0.00049544923,0.00002127144,0.00007225089,0.00031201326],"genre_scores_gemma":[0.9935288,0.0000010110372,0.0023775136,0.0038516123,0.00012566036,0.000008732954,0.000002154999,0.000023110686,0.00008140894],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99755675,0.00026595074,0.00016690968,0.0007488382,0.0006951848,0.00056637917],"domain_scores_gemma":[0.9980281,0.0007386439,0.000011594734,0.00019366732,0.000084597166,0.00094342354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046479242,0.00012732105,0.00017606199,0.00010632998,0.00030643513,0.00019921569,0.00012790406,0.0000755488,0.0000068545696],"category_scores_gemma":[0.006887033,0.00011163223,0.000024413737,0.0008166659,0.00019555811,0.00007749006,0.0005000411,0.0008077513,0.000049196457],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001661776,0.000043082026,0.0019510168,0.000038900376,0.0000015078798,0.000090550864,0.0003414921,0.0011044948,0.9924512,0.0028091676,0.00023807157,0.0007643516],"study_design_scores_gemma":[0.00058038364,0.0011002332,0.042190965,0.000038599566,0.0000063267744,0.0003949026,0.0001352214,0.85787064,0.09477406,0.0005309034,0.0019197792,0.00045796394],"about_ca_topic_score_codex":0.00017583191,"about_ca_topic_score_gemma":0.00003638312,"teacher_disagreement_score":0.8976771,"about_ca_system_score_codex":0.000044774446,"about_ca_system_score_gemma":0.000069516216,"threshold_uncertainty_score":0.824492},"labels":[],"label_agreement":null},{"id":"W3089205698","doi":"10.1002/cne.25043","title":"Topographic gradients define the projection patterns of the claustrum core and shell in mice","year":2020,"lang":"en","type":"article","venue":"The Journal of Comparative Neurology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; National Alliance for Research on Schizophrenia and Depression","keywords":"Claustrum; Neuroscience; Biology; Cortex (anatomy); Parvalbumin; Inhibitory postsynaptic potential; Anatomy; Nucleus","score_opus":0.07825814490986256,"score_gpt":0.28133515344801996,"score_spread":0.2030770085381574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089205698","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98670536,0.000031888565,0.000043416512,0.012589946,0.0003536647,0.00019750737,0.000003948057,0.0000026358719,0.00007161329],"genre_scores_gemma":[0.99626493,0.000087872184,0.0000013745926,0.003578661,0.000050922343,0.0000011745009,1.0231421e-7,0.000004081734,0.000010881014],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99870276,0.00064183975,0.00028110336,0.00010320364,0.00015559768,0.000115511175],"domain_scores_gemma":[0.9989759,0.00048804638,0.00037525108,0.00009242549,0.000042054362,0.000026324327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022344246,0.00008563012,0.0001755071,0.000050747854,0.00010151481,0.000009697428,0.0003110385,0.000028833485,0.0000048922557],"category_scores_gemma":[0.00008964784,0.00003771208,0.00005345889,0.00032571686,0.00022010237,0.00006523374,0.000081505874,0.0005325125,7.408761e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002588669,0.00015236788,0.17626217,0.000026849766,0.000022542064,0.000019636705,0.0050096037,0.002810951,0.80776554,0.004330295,0.000593056,0.0004182959],"study_design_scores_gemma":[0.0015129482,0.003868925,0.92277694,0.000026910864,0.00007072674,0.0009801355,0.00036968835,0.018038595,0.046405263,0.0044102296,0.001410491,0.00012917256],"about_ca_topic_score_codex":0.00001603662,"about_ca_topic_score_gemma":0.000086936176,"teacher_disagreement_score":0.7613603,"about_ca_system_score_codex":0.0000040263917,"about_ca_system_score_gemma":0.00001525549,"threshold_uncertainty_score":0.23135313},"labels":[],"label_agreement":null},{"id":"W3090063591","doi":"10.3390/e22111262","title":"What Can Local Transfer Entropy Tell Us about Phase-Amplitude Coupling in Electrophysiological Signals?","year":2020,"lang":"en","type":"article","venue":"Entropy","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; National Institutes of Health","keywords":"Transfer entropy; Local field potential; Computer science; Amplitude; Information transfer; Entropy (arrow of time); Rhythm; Neuroscience; Mutual information; Coupling (piping); Electroencephalography; Physics; Statistical physics; Artificial intelligence; Principle of maximum entropy; Psychology; Telecommunications; Optics","score_opus":0.02902091535786622,"score_gpt":0.2643484418952006,"score_spread":0.2353275265373344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3090063591","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98224473,0.00011003422,0.015067109,0.0016786074,0.00040011367,0.00033968917,0.000015285153,0.000112482594,0.00003195197],"genre_scores_gemma":[0.9929759,0.0004931558,0.000029268718,0.006159437,0.00023949041,0.000022209773,0.000016249181,0.000026691263,0.00003761472],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979551,0.00009931863,0.0003392565,0.0007003926,0.00032475236,0.00058118306],"domain_scores_gemma":[0.9993801,0.00018244897,0.00004285485,0.00016157184,0.000021552483,0.00021144898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007260941,0.00024668447,0.0003105691,0.000056570818,0.00011615316,0.00018517178,0.0002756837,0.00009907343,0.00026534393],"category_scores_gemma":[0.00011407203,0.00020557365,0.00012979026,0.0003814962,0.00013086521,0.0002671816,0.00004198264,0.00045156846,0.00009530169],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042275412,0.0001928044,0.00016802803,0.000012870771,0.000004155153,0.00011912663,0.00011066431,0.009048836,0.984431,0.0045989654,0.000055531764,0.00083525514],"study_design_scores_gemma":[0.0028846313,0.0019589462,0.0015500669,0.00003890876,0.000018530694,0.000013049412,0.00008115375,0.4346566,0.55422974,0.0008338994,0.0032642065,0.00047030547],"about_ca_topic_score_codex":0.000020902795,"about_ca_topic_score_gemma":0.000008193947,"teacher_disagreement_score":0.4302013,"about_ca_system_score_codex":0.0000949814,"about_ca_system_score_gemma":0.00004018008,"threshold_uncertainty_score":0.838305},"labels":[],"label_agreement":null},{"id":"W3090235488","doi":"10.1101/2020.09.30.321547","title":"Sensory experience selectively reorganizes the late component of evoked responses","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Krembil Foundation; University of Lethbridge","funders":"","keywords":"Neuroscience; Sensory system; Stimulus (psychology); Stimulation; Sensory stimulation therapy; Neocortex; Psychology; Sensory cortex; Cognitive psychology","score_opus":0.03640646832064282,"score_gpt":0.24404614443988493,"score_spread":0.2076396761192421,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3090235488","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956912,0.000111776666,0.00028526172,0.0014453996,0.001173259,0.0007229726,0.00023378248,0.00032236116,0.000013981485],"genre_scores_gemma":[0.99831665,0.00020113941,0.00028044474,0.000803823,0.00018468256,0.00008436363,8.798049e-8,0.000095763055,0.00003303104],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9967534,0.0006255615,0.00056710094,0.0010240381,0.00059526507,0.0004346243],"domain_scores_gemma":[0.99732447,0.0005476771,0.0006155213,0.0010341428,0.00030603944,0.00017216789],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038565378,0.00047542143,0.0005212845,0.00015667806,0.00030773436,0.00016345156,0.0009024096,0.00025050587,0.000029243423],"category_scores_gemma":[0.0018710862,0.0003899027,0.00016816832,0.00078256114,0.00040508603,0.00013730464,0.00074441114,0.0008739267,0.00004187959],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019830557,0.00007113649,0.0007991906,0.00010507207,0.000023559553,0.00004217296,0.00007930553,0.00007252934,0.9973803,0.0011418067,0.00008576613,8.5516297e-7],"study_design_scores_gemma":[0.0002280425,0.00008623748,0.054571442,0.000111714464,0.00003809841,5.4799262e-8,0.00000849058,0.0020466854,0.94156384,0.00001572077,0.00091301126,0.00041665987],"about_ca_topic_score_codex":0.000039151117,"about_ca_topic_score_gemma":8.034308e-7,"teacher_disagreement_score":0.05581646,"about_ca_system_score_codex":0.00014325127,"about_ca_system_score_gemma":0.00033350717,"threshold_uncertainty_score":0.9998553},"labels":[],"label_agreement":null},{"id":"W3090427581","doi":"10.1101/2020.10.05.327049","title":"Representational drift in the mouse visual cortex","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Israel Science Foundation; Canadian Institute for Advanced Research","keywords":"Visual cortex; Neuroscience; Sensory system; Population; Perception; Psychology; Hippocampus; Cognitive psychology; Sociology","score_opus":0.029753808202919646,"score_gpt":0.26124403107687816,"score_spread":0.2314902228739585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3090427581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949125,0.000036702826,0.0004286412,0.0023784162,0.0010088288,0.00079941325,0.00016076752,0.00023523979,0.00003950919],"genre_scores_gemma":[0.99574304,0.00007877779,0.0001890274,0.0032974666,0.00044291362,0.00016625508,6.707579e-7,0.00007005478,0.000011821899],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99683917,0.00038039885,0.00047467643,0.0012172342,0.0006819522,0.00040657521],"domain_scores_gemma":[0.99840575,0.0002797994,0.00030493422,0.0007713981,0.000101620986,0.0001365155],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004046652,0.00038504784,0.0003284374,0.00017791733,0.00017522166,0.00035707757,0.0008173115,0.00025569132,0.00004499062],"category_scores_gemma":[0.00089815084,0.00033140974,0.00014129371,0.0007102958,0.00013685173,0.00017404901,0.00045041178,0.0011072701,0.000117939104],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003793746,0.0001314229,0.0018536508,0.00006292863,0.000008747987,0.00015097596,0.000015508047,0.00013063985,0.99283403,0.0040880656,0.00068502605,0.0000010827154],"study_design_scores_gemma":[0.0010083545,0.00016904499,0.31717348,0.0001188819,0.00006270212,1.2153146e-7,0.00001306512,0.025207289,0.6485572,0.00007141443,0.0063666916,0.0012517568],"about_ca_topic_score_codex":0.000046078807,"about_ca_topic_score_gemma":0.0000040585082,"teacher_disagreement_score":0.34427682,"about_ca_system_score_codex":0.00010772188,"about_ca_system_score_gemma":0.0002562666,"threshold_uncertainty_score":0.9999138},"labels":[],"label_agreement":null},{"id":"W3090853613","doi":"10.1101/2020.10.02.323030","title":"Multiscale communication in cortico-cortical networks","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canada First Research Excellence Fund; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; McGill University","keywords":"Connectome; Functional connectivity; Neuroscience; Scale (ratio); Biological neural network; Computer science; Function (biology); Functional diversity; Brain function; Biology; Geography; Cartography","score_opus":0.02738958741235289,"score_gpt":0.23892987070726726,"score_spread":0.21154028329491437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3090853613","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99048656,0.00021315433,0.0051466417,0.001400889,0.0013153285,0.000888243,0.00006658251,0.0004507872,0.00003179236],"genre_scores_gemma":[0.9970378,0.00042854057,0.0009030397,0.0011892046,0.00020062487,0.00014411645,4.2724724e-7,0.00009199665,0.0000042511087],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99701643,0.00043216307,0.0006275142,0.0010755467,0.0003489242,0.00049939624],"domain_scores_gemma":[0.99780023,0.00030420118,0.0003266816,0.001219493,0.000097995435,0.0002513906],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033701785,0.00040478242,0.0004645143,0.00015308053,0.00017976367,0.00023773685,0.0007528044,0.00043936333,0.000026329257],"category_scores_gemma":[0.0010415138,0.00044048688,0.00012523717,0.0006216815,0.00017934189,0.00016533192,0.00087165204,0.0018143563,0.000068280766],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055979097,0.00017979213,0.0052265306,0.00009084455,0.000009985147,0.000094695046,0.000007536879,0.002039509,0.9892428,0.00283799,0.00020940248,0.000004969247],"study_design_scores_gemma":[0.0009928992,0.00010291125,0.28223732,0.00045269597,0.0000683782,4.995705e-8,0.0000021202982,0.5248263,0.18821502,0.000034979992,0.0018476535,0.0012196911],"about_ca_topic_score_codex":0.000049249775,"about_ca_topic_score_gemma":0.000009091292,"teacher_disagreement_score":0.8010277,"about_ca_system_score_codex":0.00021168448,"about_ca_system_score_gemma":0.00014512394,"threshold_uncertainty_score":0.9998047},"labels":[],"label_agreement":null},{"id":"W3091354755","doi":"10.1152/jn.00285.2020","title":"Early stages of sensorimotor map acquisition: neurochemical signature in primary motor cortex and its relation to functional connectivity","year":2020,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut Universitaire de Gériatrie de Montréal; Université de Montréal; Douglas Mental Health University Institute; McGill University","funders":"Institute of Health Services and Policy Research; Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Child Health and Human Development; Canadian Institutes of Health Research; Fonds Québécois de la Recherche sur la Nature et les Technologies; Government of Canada","keywords":"Neurochemical; Neuroscience; Psychology; Functional magnetic resonance imaging; Motor learning; Primary motor cortex; Resting state fMRI; Intraparietal sulcus; Motor cortex; Sensory system; Stimulation","score_opus":0.019769691135026746,"score_gpt":0.23055275227466246,"score_spread":0.2107830611396357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091354755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99688673,0.000016019014,0.00006501779,0.0023454174,0.0004899801,0.00015232414,0.00001857016,0.000009857578,0.000016066388],"genre_scores_gemma":[0.99615157,0.000031394742,0.000037628804,0.0034617153,0.00028240046,0.0000014173065,0.0000015279652,0.00001246391,0.0000198786],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987902,0.00021471418,0.0003661607,0.00027546633,0.0002169175,0.00013655538],"domain_scores_gemma":[0.9989972,0.00041885456,0.0002821674,0.00006814168,0.00011028575,0.00012333499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004053803,0.00011966484,0.00028985293,0.000115381044,0.000037549897,0.000013688062,0.00010191743,0.00008476604,0.00002160367],"category_scores_gemma":[0.0004885848,0.00010518532,0.0000713615,0.00022628902,0.000048189286,0.00024983098,0.000071496,0.00044101183,0.000005915203],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013166977,0.000060306556,0.00031088263,0.000036749432,0.00000330638,0.00009627737,0.000041560073,0.00059829507,0.99721193,0.00015342064,0.000056612567,0.000113984854],"study_design_scores_gemma":[0.0007067556,0.002674468,0.9523558,0.000019653635,0.000010968996,0.00010045488,0.00000533639,0.0018310416,0.041828837,0.00022456056,0.00013525855,0.000106879204],"about_ca_topic_score_codex":6.5212913e-7,"about_ca_topic_score_gemma":4.4538023e-8,"teacher_disagreement_score":0.95538306,"about_ca_system_score_codex":0.000024089946,"about_ca_system_score_gemma":0.00003383459,"threshold_uncertainty_score":0.4289333},"labels":[],"label_agreement":null},{"id":"W3091581001","doi":"10.7554/elife.53664","title":"A circuit mechanism for decision-making biases and NMDA receptor hypofunction","year":2020,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Mental Health; Natural Sciences and Engineering Research Council of Canada; Wellcome Trust; Wellcome; Brain and Behavior Research Foundation","keywords":"NMDA receptor; Neuroscience; Excitatory postsynaptic potential; Mechanism (biology); Psychology; Schizophrenia (object-oriented programming); Inhibitory postsynaptic potential; Biological neural network; Medicine; Receptor; Psychiatry; Physics; Internal medicine","score_opus":0.08172011261175051,"score_gpt":0.28206935049797566,"score_spread":0.20034923788622516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091581001","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91066366,0.000014519433,0.0861854,0.0014470255,0.00095324224,0.0003567525,0.000042528976,0.0001378665,0.0001990184],"genre_scores_gemma":[0.989296,0.000046370664,0.0010539739,0.009216169,0.0002730866,0.000026147907,0.0000024693102,0.000018172737,0.000067562505],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991279,0.000024916779,0.00014265365,0.00036260142,0.00019177934,0.00015014329],"domain_scores_gemma":[0.99885243,0.0008722261,0.00006279471,0.00008836295,0.00004022701,0.00008394703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007617767,0.00009494739,0.00010427747,0.00003839115,0.00018064085,0.00007358604,0.000063375504,0.000043009084,0.000055812776],"category_scores_gemma":[0.0050077955,0.00008498871,0.00004682265,0.0001593135,0.00002012887,0.00014135355,0.00004552088,0.00007177347,0.00004403605],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014799752,0.000022452961,0.00005915388,0.000020069778,0.0000031447214,0.0000028264574,0.000114381575,0.00004132271,0.9145073,0.017284809,0.0028765893,0.06491991],"study_design_scores_gemma":[0.0021310304,0.0021359962,0.0010007345,0.00035095352,0.000048485945,0.00005043747,0.00026563398,0.16837466,0.6980713,0.06746367,0.059059586,0.0010475094],"about_ca_topic_score_codex":0.0000016391299,"about_ca_topic_score_gemma":0.0000018686856,"teacher_disagreement_score":0.21643603,"about_ca_system_score_codex":0.000015048806,"about_ca_system_score_gemma":0.000014284748,"threshold_uncertainty_score":0.59951603},"labels":[],"label_agreement":null},{"id":"W3091698187","doi":"10.1371/journal.pbio.3000834","title":"tACS entrains neural activity while somatosensory input is blocked","year":2020,"lang":"en","type":"article","venue":"PLoS Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":101,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Economic and Social Research Council; Canadian Institutes of Health Research; Advanced Research Projects Agency; Defense Advanced Research Projects Agency; U.S. Department of Defense","keywords":"Biology; Somatosensory system; Neuroscience; Neural activity","score_opus":0.07905469104015073,"score_gpt":0.25938674621072266,"score_spread":0.18033205517057194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091698187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98653185,0.000007627388,0.000052676773,0.011606069,0.00038232238,0.00018494502,0.000083664,0.00017468385,0.0009761752],"genre_scores_gemma":[0.9835468,0.000017387862,0.000022053835,0.016002528,0.00023657054,0.000010244307,0.0000064626693,0.000015915852,0.0001420141],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998739,0.00017098218,0.00014259564,0.00052649796,0.00009676042,0.00032417767],"domain_scores_gemma":[0.9994156,0.00017402513,0.000082207924,0.00017969504,0.000019154622,0.00012936829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000030890085,0.00015222905,0.00019995515,0.000037957238,0.00012322406,0.000024682133,0.00020727376,0.00011173995,0.00018691721],"category_scores_gemma":[0.0003275208,0.0001295879,0.00007448555,0.00019793794,0.00013610836,0.0000912134,0.000119267635,0.00024430186,0.00020636125],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005050118,0.000071503666,0.0011497594,0.000010693746,0.000005202905,0.000015897778,0.00014989037,0.0000045287816,0.99418986,0.00046588122,0.00068516325,0.0032011399],"study_design_scores_gemma":[0.0005158631,0.0005910316,0.0017361691,0.0000038139394,0.000015756472,0.000028918386,0.00001429466,0.080432914,0.9054868,0.0005268141,0.010372615,0.0002749693],"about_ca_topic_score_codex":0.0000057120415,"about_ca_topic_score_gemma":0.000002327258,"teacher_disagreement_score":0.088703,"about_ca_system_score_codex":0.000016333659,"about_ca_system_score_gemma":0.00001980786,"threshold_uncertainty_score":0.5284442},"labels":[],"label_agreement":null},{"id":"W3091726458","doi":"10.1073/pnas.1917551117","title":"Robust parallel decision-making in neural circuits with nonlinear inhibition","year":2020,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"HORIZON EUROPE Marie Sklodowska-Curie Actions; Office of Naval Research; Simons Institute for the Theory of Computing, University of California Berkeley; Howard Hughes Medical Institute; Norges Forskningsråd; Canadian Institute for Advanced Research","keywords":"Artificial neural network; Computer science; Algorithm; Nonlinear system; Set (abstract data type); Artificial intelligence; Machine learning; Physics","score_opus":0.07890654871466042,"score_gpt":0.2931064955530645,"score_spread":0.2141999468384041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091726458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923029,0.000010365531,0.000027958904,0.0058720047,0.000016686918,0.00017150455,0.0000078936555,0.000013045947,0.0015776304],"genre_scores_gemma":[0.99653584,0.000007104313,0.0013717423,0.0020142188,0.000054801298,0.000004497846,4.9967607e-8,0.000004122124,0.0000076067304],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99824464,0.000007383984,0.00026778472,0.00031855184,0.0010241981,0.00013746764],"domain_scores_gemma":[0.9993439,0.0002338364,0.00029219114,0.000005236822,0.000093936134,0.00003091216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037897474,0.00008372789,0.00011692912,0.00012178093,0.00013916321,0.000035592733,0.00040706398,0.000044606662,0.0000073227166],"category_scores_gemma":[0.0011059286,0.000052534866,0.000039780716,0.001376507,0.00039507513,0.0006069238,0.00010101809,0.00019448876,0.0000011793938],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009115208,0.00006245405,0.007270859,0.000052324736,0.0000017528257,1.349535e-7,0.00022998333,0.023942592,0.9475676,0.01692108,0.00013952561,0.003720534],"study_design_scores_gemma":[0.0006794723,0.00031062902,0.06895821,0.0003906365,0.000008045168,0.000045915924,0.00017197288,0.68029135,0.21693778,0.03190822,0.00006183105,0.00023594828],"about_ca_topic_score_codex":0.0000011896117,"about_ca_topic_score_gemma":1.4422002e-7,"teacher_disagreement_score":0.7306298,"about_ca_system_score_codex":0.000021028774,"about_ca_system_score_gemma":0.000020245188,"threshold_uncertainty_score":0.21423097},"labels":[],"label_agreement":null},{"id":"W3091883245","doi":"10.22215/etd/2014-10125","title":"Neural Coding via Transmission Delay Coincidence Detectors: An Embodied Approach","year":2014,"lang":"en","type":"dissertation","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Coincidence detection in neurobiology; Computer science; Network dynamics; Artificial neural network; Spiking neural network; Millisecond; Coincidence; Coding (social sciences); Neocortex; Neural coding; Artificial intelligence; Neuroscience; Psychology; Physics; Mathematics","score_opus":0.028678025013509738,"score_gpt":0.27118658483697294,"score_spread":0.2425085598234632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091883245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91401434,0.000029132087,0.033296306,0.000052323314,0.0018252761,0.0009991402,0.000013752352,0.0006755281,0.049094196],"genre_scores_gemma":[0.9869915,0.000028167271,0.000529224,0.0004867204,0.00019819652,0.000042398206,0.00045437014,0.00009037394,0.011179021],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99712217,0.00026634958,0.00046119577,0.0011077052,0.0005945233,0.0004480654],"domain_scores_gemma":[0.998796,0.00019478002,0.00027026856,0.00042624617,0.000075307216,0.00023738928],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00024181083,0.00047147626,0.00042376085,0.00021600326,0.00039643658,0.0001964303,0.0005106265,0.00037608735,0.00022457977],"category_scores_gemma":[0.0001379504,0.00038879988,0.00018348305,0.0002991163,0.000046956295,0.00042313326,0.000020983623,0.00055243797,0.0000813656],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020387159,0.00008551927,0.000007085961,0.00014618639,0.0000036505014,0.000021291049,0.00017436934,0.00028144073,0.95626885,0.0007947117,0.00011569217,0.041897353],"study_design_scores_gemma":[0.00039352648,0.00043284317,0.00037337956,0.00008191633,0.000057147885,0.00012386004,0.00006600649,0.8410785,0.15518464,0.00065958593,0.00072766794,0.000820893],"about_ca_topic_score_codex":0.00007211661,"about_ca_topic_score_gemma":0.000056322107,"teacher_disagreement_score":0.84079707,"about_ca_system_score_codex":0.000057753692,"about_ca_system_score_gemma":0.000044968667,"threshold_uncertainty_score":0.9998564},"labels":[],"label_agreement":null},{"id":"W3091926688","doi":"10.1038/s41586-020-2802-y","title":"Spontaneous travelling cortical waves gate perception in behaving primates","year":2020,"lang":"en","type":"article","venue":"Nature","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":272,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Institute of Neurological Disorders and Stroke; National Eye Institute; National Institute of Mental Health","keywords":"Callithrix; Visual cortex; Neuroscience; Perception; Sensory system; Psychology; Visual perception; Marmoset; Primate; Physics; Biology","score_opus":0.019723761285515357,"score_gpt":0.25860326327038097,"score_spread":0.2388795019848656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091926688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969479,0.000019993058,0.00007185206,0.0020382325,0.00021117131,0.00011197396,0.000005922178,0.00006641922,0.00052656396],"genre_scores_gemma":[0.99595374,0.00003311813,0.00013854998,0.0036998817,0.00009464747,0.0000020514806,0.000005118754,0.000011909282,0.000060985236],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99920374,0.000047057092,0.00012308126,0.00028646915,0.00017129023,0.00016835786],"domain_scores_gemma":[0.9997427,0.00009542626,0.000027669475,0.00006281786,0.000011170279,0.000060227725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005312372,0.00008728086,0.00009304084,0.000033917826,0.00006803883,0.00004451702,0.0000954002,0.0003026227,0.00006775482],"category_scores_gemma":[0.00031384567,0.0000763363,0.000035687834,0.00018337455,0.000025621537,0.00009325653,0.000025380574,0.0014085983,0.000031816817],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051013783,0.000020753698,0.00038092263,0.00001534411,3.6291578e-7,0.00051837915,0.0002974902,0.00019992207,0.99564886,0.0008143326,0.000028159015,0.0020244454],"study_design_scores_gemma":[0.0013124387,0.00067511265,0.20835532,0.0001353816,0.00004074082,0.001888012,0.0005571426,0.61921227,0.16304299,0.0016741684,0.0021382612,0.00096812384],"about_ca_topic_score_codex":0.0000037707266,"about_ca_topic_score_gemma":0.000007918659,"teacher_disagreement_score":0.8326059,"about_ca_system_score_codex":0.000031979547,"about_ca_system_score_gemma":0.000009363788,"threshold_uncertainty_score":0.61197364},"labels":[],"label_agreement":null},{"id":"W3091964926","doi":"10.1523/jneurosci.0917-20.2020","title":"Information-Limiting Correlations in Neural Populations: The Devil Is in the Details","year":2020,"lang":"en","type":"letter","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Stimulus (psychology); Neuroscience; Limiting; Neural activity; Premovement neuronal activity; Biological neural network; Psychology; Communication; Cognitive psychology; Engineering","score_opus":0.08535938754732439,"score_gpt":0.2879633253370234,"score_spread":0.202603937789699,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091964926","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05054148,0.000028961615,0.00029958182,0.94587886,0.0024633685,0.00038792417,0.000022060118,0.000011751569,0.0003660379],"genre_scores_gemma":[0.43428704,0.000029866791,0.000016300006,0.5652656,0.0003529172,0.0000060041266,0.0000017057464,0.000007746773,0.000032825556],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99680555,0.000521703,0.0010165328,0.00021772098,0.0010904367,0.000348059],"domain_scores_gemma":[0.9974449,0.0010789604,0.0010468578,0.0002829566,0.00010567339,0.000040594496],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00056164374,0.00021207232,0.00024677246,0.00039182918,0.00043661258,0.0005096355,0.0013866284,0.00011582418,0.000007650075],"category_scores_gemma":[0.0047267866,0.00012201879,0.00015959327,0.0018159016,0.00020902061,0.0015806666,0.00010152022,0.0030629784,0.000013750219],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007862902,0.00016200684,0.01026893,0.0001404498,0.0000035022078,0.0033811012,0.00837359,0.031832658,0.01408635,0.0014364475,0.92152935,0.008706993],"study_design_scores_gemma":[0.0008687004,0.0005128918,0.07379951,0.00026436374,0.000053125957,0.0043627727,0.0006599728,0.31840008,0.00018541396,0.0034963307,0.59673566,0.0006612144],"about_ca_topic_score_codex":0.00001428536,"about_ca_topic_score_gemma":0.000014162662,"teacher_disagreement_score":0.38374555,"about_ca_system_score_codex":0.000068551504,"about_ca_system_score_gemma":0.000121967576,"threshold_uncertainty_score":0.999237},"labels":[],"label_agreement":null},{"id":"W3092299774","doi":"10.1101/2020.10.05.325613","title":"Connectivity for Rapid Synchronization in a Neural Pacemaker Network","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Ontario Brain Institute; Mila - Quebec Artificial Intelligence Institute; Hospital for Sick Children; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Synchronization (alternating current); Gap junction; Neuroscience; Computer science; Randomness; Coupling (piping); Artificial neural network; Biological neural network; Electrical Synapses; Topology (electrical circuits); Physics; Biology; Artificial intelligence; Computer network; Materials science; Engineering; Mathematics","score_opus":0.02720455238225808,"score_gpt":0.23213713397965513,"score_spread":0.20493258159739705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092299774","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.961775,0.000304676,0.027016353,0.0025120324,0.0045145066,0.0029329841,0.00032405293,0.00060803577,0.000012328461],"genre_scores_gemma":[0.99620336,0.000099603574,0.0007352447,0.0015099905,0.00091511646,0.00040458972,6.8383736e-7,0.00012835348,0.0000030589702],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99682766,0.00028942974,0.0004888719,0.0014435607,0.00030649162,0.0006439576],"domain_scores_gemma":[0.9981952,0.00037707566,0.00040141933,0.0006747404,0.0001577268,0.00019384814],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004463054,0.0004935911,0.00056074496,0.00015578045,0.00020059741,0.00026317043,0.00031281888,0.0003984434,0.00002329619],"category_scores_gemma":[0.0014572144,0.0005365172,0.00017594243,0.00083197467,0.00009126211,0.00021943523,0.00040151787,0.0007578562,0.000020453088],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024063824,0.00017631598,0.0038976069,0.00056822033,0.000024950497,0.00012391321,0.000010205453,0.010429545,0.97889084,0.004459122,0.0011478175,0.00003080314],"study_design_scores_gemma":[0.0019306852,0.00036592718,0.062334828,0.00048078955,0.00010042821,9.0633286e-8,0.0000015760153,0.77632046,0.15253995,0.00013910267,0.00406282,0.0017233315],"about_ca_topic_score_codex":0.000015195009,"about_ca_topic_score_gemma":0.000006610495,"teacher_disagreement_score":0.8263509,"about_ca_system_score_codex":0.00026962062,"about_ca_system_score_gemma":0.00025023246,"threshold_uncertainty_score":0.99970865},"labels":[],"label_agreement":null},{"id":"W3092398049","doi":"10.1038/s41598-020-73797-4","title":"OSERR: an open-source standalone electrophysiology recording system for rodents","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Children's Hospital; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Children's Hospital Foundation; Children's Hospital Foundation","keywords":"Computer science; Limiting; Telemetry; Open source; Electrophysiology; Software; Neurophysiology; Neuroscience; Electroencephalography; Computer hardware; Biology; Telecommunications","score_opus":0.04502253507000823,"score_gpt":0.27943730330018274,"score_spread":0.23441476823017451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092398049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9839864,0.000008023741,0.0058670007,0.00053122843,0.007970497,0.000907603,0.000010876038,0.00021821693,0.00050015986],"genre_scores_gemma":[0.997138,0.0000011538483,0.00025927892,0.00036186542,0.00016807562,0.000050359795,0.00003815106,0.000029825529,0.0019532586],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9973901,0.000111545734,0.0004192162,0.0013586542,0.00032736844,0.00039311475],"domain_scores_gemma":[0.99875915,0.000060976545,0.00032560877,0.00054853567,0.0000983427,0.00020737898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066314236,0.00014503827,0.00024073306,0.000067469766,0.0007039214,0.000748561,0.0004302067,0.000053687152,0.000025233676],"category_scores_gemma":[0.00053649157,0.0001278529,0.00006502505,0.0005222287,0.00009657867,0.00050017284,0.00021344052,0.00011071027,0.000019811061],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000085468455,0.000033494864,0.00006618208,0.000036057456,0.0000024036838,0.0000900638,0.000062767045,0.00025675277,0.99345076,0.0005321412,0.003148991,0.0022349078],"study_design_scores_gemma":[0.00057863945,0.0012010632,0.00011521162,0.000046965302,0.000026698783,0.00046148564,0.00015115965,0.060889952,0.82878584,0.0045319577,0.10271844,0.00049255654],"about_ca_topic_score_codex":0.00002350044,"about_ca_topic_score_gemma":0.000007959604,"teacher_disagreement_score":0.16466491,"about_ca_system_score_codex":0.00007455369,"about_ca_system_score_gemma":0.00008198446,"threshold_uncertainty_score":0.72183913},"labels":[],"label_agreement":null},{"id":"W3092415961","doi":"10.1093/comnet/cnaa033","title":"Modelling the impact of structural directionality on connectome-based models of neural activity","year":2020,"lang":"en","type":"article","venue":"Journal of Complex Networks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Trent University; Nottingham Trent University","keywords":"Connectome; Attractor; Directionality; Computer science; Connectomics; Neuroscience; Robustness (evolution); Modularity (biology); Artificial neural network; Network topology; Topology (electrical circuits); Artificial intelligence; Functional connectivity; Biology; Mathematics","score_opus":0.13742240004845294,"score_gpt":0.3135844440732542,"score_spread":0.17616204402480126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092415961","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93065065,0.000018277326,0.06818251,0.0006679714,0.00023167706,0.00010488524,0.000024496549,0.0000086553455,0.000110864625],"genre_scores_gemma":[0.99934924,0.000006603637,0.000076505465,0.0003201956,0.0002326249,4.708415e-7,0.0000011169709,0.000011094021,0.0000021511212],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985723,0.00029019552,0.00042809473,0.00014446185,0.0003997163,0.00016525859],"domain_scores_gemma":[0.9980728,0.0007549711,0.00078363944,0.00013644113,0.00015766612,0.0000945023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002420747,0.00013888047,0.00034481983,0.000052834053,0.00010247002,0.000026354419,0.0002682515,0.00004506824,0.000036701058],"category_scores_gemma":[0.000097303484,0.00008232285,0.00037493542,0.0003164959,0.00011553708,0.00019594208,0.00003112218,0.00043291357,1.4386755e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010415108,0.00004059195,0.00033711872,0.00000839714,0.000018102508,0.0000030179897,0.000037247646,0.96534604,0.03170793,0.00052848755,0.00010492983,0.00082663936],"study_design_scores_gemma":[0.00046918125,0.0007176238,0.005831637,0.000018804403,0.000015709042,0.000019183746,0.000004282082,0.9879026,0.0032267135,0.0017176396,0.000004380142,0.000072240815],"about_ca_topic_score_codex":0.000054043863,"about_ca_topic_score_gemma":9.522877e-7,"teacher_disagreement_score":0.06869858,"about_ca_system_score_codex":0.000043757016,"about_ca_system_score_gemma":0.0000549463,"threshold_uncertainty_score":0.33570284},"labels":[],"label_agreement":null},{"id":"W3092636165","doi":"10.3389/fnana.2020.581478","title":"Visual Corticocortical Inputs to Ferret Area 18","year":2020,"lang":"en","type":"article","venue":"Frontiers in Neuroanatomy","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute on Minority Health and Health Disparities; National Center for Research Resources; National Institutes of Health; American University of Sharjah; City University of New York","keywords":"Neuroscience; Extrastriate cortex; Visual cortex; Cortex (anatomy); Connectome; Mustela putorius; Psychology; Biology; Functional connectivity","score_opus":0.033663489604909815,"score_gpt":0.2729937324733447,"score_spread":0.23933024286843488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092636165","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97219414,0.00001314475,0.012018398,0.010430107,0.0021148769,0.0005247481,0.000012414776,0.00018452012,0.0025076577],"genre_scores_gemma":[0.96502906,0.000014534457,0.0004380774,0.03421268,0.00010517714,0.000027762615,0.000002898428,0.000033743014,0.00013605483],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980016,0.000115800896,0.00033263036,0.0007292876,0.00037113158,0.00044957703],"domain_scores_gemma":[0.99926496,0.00007611853,0.00005773984,0.00019341768,0.000022139204,0.00038564665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005896012,0.0002061208,0.00027245693,0.00017323547,0.00007965578,0.00008230294,0.00032789962,0.00006947834,0.00007774674],"category_scores_gemma":[0.0010448216,0.00020160511,0.00007454068,0.0010106076,0.00007896642,0.00018542251,0.00017065882,0.00035996328,0.00009389771],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015678585,0.0007311154,0.15019631,0.000120417404,0.000023672907,0.003675994,0.0009290298,0.0031552312,0.4734736,0.0036927431,0.31115577,0.051278245],"study_design_scores_gemma":[0.0026549285,0.0017176346,0.040915247,0.00005317014,0.00003942702,0.00009361467,0.00009639591,0.73072636,0.08677596,0.00221463,0.13334294,0.0013697154],"about_ca_topic_score_codex":0.0000042198503,"about_ca_topic_score_gemma":0.0000015981105,"teacher_disagreement_score":0.7275711,"about_ca_system_score_codex":0.000053061503,"about_ca_system_score_gemma":0.000038718408,"threshold_uncertainty_score":0.8221218},"labels":[],"label_agreement":null},{"id":"W3092657784","doi":"10.1016/j.neuron.2020.09.043","title":"Integrated Neurophotonics: Toward Dense Volumetric Interrogation of Brain Circuit Activity—at Depth and in Real Time","year":2020,"lang":"en","type":"review","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":68,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Eye Institute; Intelligence Advanced Research Projects Activity; Defense Advanced Research Projects Agency; National Institute of Neurological Disorders and Stroke; Kavli Foundation; Howard Hughes Medical Institute; National Institutes of Health; National Science Foundation","keywords":"Interrogation; Psychology; Neuroscience; Computer science; Geography","score_opus":0.07472070548762018,"score_gpt":0.2983449246241826,"score_spread":0.22362421913656244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092657784","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6267579,0.36136582,0.000069071444,0.0005286065,0.002364145,0.0046619335,0.0004033459,0.000496242,0.0033529054],"genre_scores_gemma":[0.034922566,0.9640095,0.0000084226185,0.00022404149,0.00004560492,0.000034848435,0.000039102448,0.000097593576,0.0006182864],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99701655,0.00078643556,0.00058450777,0.0009944678,0.00032266992,0.00029536738],"domain_scores_gemma":[0.99808985,0.0009087895,0.0005230394,0.00032956226,0.000030049367,0.000118721764],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016338361,0.00043197334,0.0011604131,0.0006289353,0.00005087487,0.00006202903,0.00031987258,0.00022940068,0.000032821517],"category_scores_gemma":[0.0010496405,0.00039020216,0.00022577195,0.0016825631,0.00010150609,0.00016551002,0.0002794084,0.00070787134,0.00007504133],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008300673,0.00007835195,0.000013861473,0.0025435411,0.0000073412016,0.00021211008,0.00006535007,0.0000033830975,0.059612118,0.000029047831,0.00013946243,0.9372124],"study_design_scores_gemma":[0.0012352797,0.0020473201,0.0012635957,0.0039422177,0.00039058694,0.0007156032,0.000012807287,0.027157277,0.0038395743,0.00007616407,0.95793647,0.0013830996],"about_ca_topic_score_codex":0.00007500618,"about_ca_topic_score_gemma":0.000052610616,"teacher_disagreement_score":0.957797,"about_ca_system_score_codex":0.00028156332,"about_ca_system_score_gemma":0.00017630978,"threshold_uncertainty_score":0.999855},"labels":[],"label_agreement":null},{"id":"W3093091272","doi":"10.1152/jn.00333.2020","title":"Local and large-scale beta oscillatory dysfunction in males with mild traumatic brain injury","year":2020,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; Holland Bloorview Kids Rehabilitation Hospital; Sunnybrook Health Science Centre; Toronto Rehabilitation Institute; University of Toronto; Mental Health Research Canada; Hospital for Sick Children","funders":"","keywords":"Traumatic brain injury; Neuroscience; Magnetoencephalography; Psychology; Neurophysiology; Functional magnetic resonance imaging; BETA (programming language); Concussion; Poison control; Electroencephalography; Medicine; Computer science; Injury prevention; Psychiatry","score_opus":0.030654114949845976,"score_gpt":0.2522430881765554,"score_spread":0.2215889732267094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093091272","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946462,0.000012711564,0.0009874793,0.003975006,0.00023569427,0.00008180566,0.0000053536864,0.000011704841,0.00004407567],"genre_scores_gemma":[0.9927883,0.000058478498,0.00005607605,0.006961254,0.00009876152,0.0000010641763,4.5489833e-7,0.00001594615,0.000019666095],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99885386,0.00022244194,0.00032285016,0.00024609198,0.00016163953,0.00019312145],"domain_scores_gemma":[0.99936354,0.00019463219,0.00021447054,0.00008388474,0.000030681997,0.00011276747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005546936,0.00012702052,0.00028049634,0.00011113058,0.0000598346,0.000017932662,0.0001200883,0.000054123808,0.000015863108],"category_scores_gemma":[0.000114053,0.000092275244,0.000050601167,0.0002508577,0.0001435201,0.00018808567,0.000046497888,0.00038569153,0.0000069716275],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084275496,0.00007720424,0.00062835106,0.00004208144,0.000004406889,0.00014928996,0.0002100773,0.0012799755,0.99427825,0.00015783728,0.00014680516,0.002182982],"study_design_scores_gemma":[0.0074323574,0.024478395,0.768347,0.00020654744,0.00008676962,0.0016643717,0.0008519359,0.14572294,0.037385933,0.0015956773,0.011339734,0.0008882837],"about_ca_topic_score_codex":0.0000015588479,"about_ca_topic_score_gemma":0.00000373644,"teacher_disagreement_score":0.9568923,"about_ca_system_score_codex":0.000017154707,"about_ca_system_score_gemma":0.000029698604,"threshold_uncertainty_score":0.37628752},"labels":[],"label_agreement":null},{"id":"W3093453323","doi":"10.2139/ssrn.3334982","title":"Precise Subcellular Coordination of Excitation and Inhibition Supports Micron-Scale Dendritic Computations","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Excitation; Computation; Scale (ratio); Chemistry; Computer science; Biophysics; Physics; Nanotechnology; Materials science; Biology; Engineering; Electrical engineering; Algorithm","score_opus":0.006461064871421699,"score_gpt":0.2181829816677097,"score_spread":0.211721916796288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093453323","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.986918,0.00012064431,0.01185088,0.00043738095,0.00025213906,0.00021305119,0.000004657829,0.000016620406,0.00018664318],"genre_scores_gemma":[0.99876654,0.0003190672,0.00006136135,0.00005035876,0.00003977769,0.0000027869753,0.000013936638,0.000013258969,0.0007329056],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986904,0.00010233727,0.000258929,0.00020108055,0.00020956357,0.0005376922],"domain_scores_gemma":[0.9994926,0.00010903635,0.00019449284,0.000076378696,0.00008493026,0.000042581552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004591017,0.00009260086,0.000118910255,0.00015396922,0.00012591413,0.000045772576,0.00005499961,0.000047760477,0.000021506381],"category_scores_gemma":[0.00005702855,0.00009085096,0.000050337847,0.00018988678,0.00004680033,0.00035496437,0.000017882152,0.0004208198,0.00001534103],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031485903,0.000061798055,0.001730942,0.00002107685,0.0000056027743,0.0000019609602,0.00011512807,0.00020421432,0.95460993,0.038748518,0.000018217466,0.0044511347],"study_design_scores_gemma":[0.003546897,0.0020778629,0.014306521,0.00016413891,0.00009756145,0.0022982669,0.001471351,0.03743752,0.29162598,0.6460642,0.00031911742,0.0005905587],"about_ca_topic_score_codex":0.000009956997,"about_ca_topic_score_gemma":0.000052815285,"teacher_disagreement_score":0.66298395,"about_ca_system_score_codex":0.00018290193,"about_ca_system_score_gemma":0.00020679443,"threshold_uncertainty_score":0.37047946},"labels":[],"label_agreement":null},{"id":"W3094003338","doi":"10.1101/2020.10.22.350280","title":"Unified neural dynamics of decisions and actions in the cerebral cortex and basal ganglia","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research; Fondation Fyssen","keywords":"Dorsolateral prefrontal cortex; Neuroscience; Globus pallidus; Deliberation; Basal ganglia; Sensory system; Psychology; Population; Attractor; Cognitive psychology; Computer science; Prefrontal cortex; Mathematics; Cognition; Sociology; Political science; Central nervous system","score_opus":0.03749439309034373,"score_gpt":0.245590654534256,"score_spread":0.20809626144391224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094003338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99527234,0.000054845517,0.0003552364,0.0026888985,0.00068409817,0.0005296694,0.0003258363,0.00007370987,0.000015376483],"genre_scores_gemma":[0.9983301,0.0001873558,0.0002764751,0.0010361236,0.000086776876,0.000036672667,4.0929075e-7,0.000043503802,0.0000025435208],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99797356,0.00022690462,0.00040507375,0.00079096865,0.00031287977,0.00029058714],"domain_scores_gemma":[0.99846727,0.00046447798,0.0002652728,0.00057712494,0.000084562766,0.00014132282],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026648358,0.00031705436,0.00035935704,0.00019650903,0.00017438752,0.0001863869,0.0004029363,0.00022675224,0.000007514909],"category_scores_gemma":[0.0008281684,0.00026780742,0.00007197224,0.0006003075,0.00024230177,0.00014779405,0.00045212274,0.00083095167,0.000002676783],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000077991324,0.00012312215,0.009022897,0.00012840849,0.000016030468,0.000091424445,0.000034431334,0.00009116364,0.9752679,0.014984879,0.00014622898,0.00001552571],"study_design_scores_gemma":[0.0009753783,0.000220477,0.8027533,0.00023433079,0.0001158973,2.3023739e-7,0.00004237266,0.16294539,0.031228466,0.00046106256,0.00021764183,0.0008054047],"about_ca_topic_score_codex":0.000052592583,"about_ca_topic_score_gemma":0.00003929969,"teacher_disagreement_score":0.9440394,"about_ca_system_score_codex":0.00006622381,"about_ca_system_score_gemma":0.00012754904,"threshold_uncertainty_score":0.9999774},"labels":[],"label_agreement":null},{"id":"W3094408775","doi":"10.1101/2020.10.23.353151","title":"A Convolutional Network Architecture Driven by Mouse Neuroanatomical Data","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Institutes of Health","keywords":"Visual cortex; Computer science; Convolutional neural network; Hierarchy; Artificial intelligence; Neuroscience; Feed forward; Cognitive neuroscience of visual object recognition; Network architecture; Computation; Object (grammar); Contrast (vision); Pattern recognition (psychology); Network model; Biology; Algorithm","score_opus":0.02995999730399795,"score_gpt":0.2307557332068259,"score_spread":0.20079573590282795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094408775","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9626529,0.00042950967,0.013469714,0.0070932484,0.004383022,0.001679061,0.008766051,0.0015050145,0.000021438695],"genre_scores_gemma":[0.9921854,0.00016769565,0.0019140668,0.0041654464,0.0012936208,0.00007069417,0.000010392657,0.00017631876,0.000016349339],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9952136,0.000364315,0.0005511072,0.0024294816,0.00068352104,0.00075793295],"domain_scores_gemma":[0.9965896,0.00025018898,0.0004129187,0.002158675,0.00011412924,0.0004744848],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026285351,0.0006541117,0.0005891966,0.00011143355,0.0002974585,0.00036270934,0.002116763,0.00047493714,0.000055356235],"category_scores_gemma":[0.0009454136,0.00068132405,0.0001563139,0.00058456423,0.00026329362,0.00020164873,0.0029227063,0.0019473197,0.00012540686],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000070853486,0.00009811317,0.0004962818,0.0001003218,0.000036554582,0.00008966432,0.000001543506,0.0011471274,0.9755543,0.0021040747,0.020298986,0.0000021951778],"study_design_scores_gemma":[0.0022864167,0.00031281664,0.012912028,0.00040128556,0.0003630522,4.7552768e-7,0.0000010777712,0.3953337,0.3876026,0.00017831265,0.19634645,0.0042617787],"about_ca_topic_score_codex":0.00001865855,"about_ca_topic_score_gemma":0.0000017382927,"teacher_disagreement_score":0.5879517,"about_ca_system_score_codex":0.00014890319,"about_ca_system_score_gemma":0.00044011013,"threshold_uncertainty_score":0.9995638},"labels":[],"label_agreement":null},{"id":"W3094570384","doi":"10.1101/2020.10.20.344895","title":"Neural oscillations track natural but not artificial fast speech: Novel insights from speech-brain coupling using MEG","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute; Université de Montréal; McGill University; Montreal Neurological Institute and Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Institut de Valorisation des Données; LabEx ASLAN; Université de Lyon; Canada Research Chairs; Agence Nationale de la Recherche","keywords":"Magnetoencephalography; Speech recognition; Syllable; Speech processing; Computer science; Coupling (piping); Acoustics; Electroencephalography; Physics; Neuroscience; Psychology; Materials science","score_opus":0.05466385450143758,"score_gpt":0.2510955627324932,"score_spread":0.19643170823105566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094570384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9843003,0.0000922295,0.003860152,0.0015372891,0.0071027987,0.0010149177,0.0013442778,0.0007410628,0.000006947447],"genre_scores_gemma":[0.9913284,0.000020760734,0.004174148,0.0019827494,0.0022208143,0.000032374166,0.0000038126925,0.00022786573,0.000009058356],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99441606,0.00016724483,0.0010736163,0.00246377,0.0010575695,0.0008217376],"domain_scores_gemma":[0.9966375,0.00049828395,0.0008346274,0.0012266615,0.0003545257,0.00044836654],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026031543,0.000993623,0.00088941643,0.00041087766,0.00070083886,0.00094731065,0.0009581307,0.0006552971,0.00003741235],"category_scores_gemma":[0.001486136,0.0010565773,0.00038099216,0.0011100692,0.00028102644,0.0005386683,0.00085703476,0.0021484513,0.00009449388],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009457739,0.00012262672,0.00012621711,0.000071053684,0.000039254868,0.00020558418,0.000019656216,0.0052763303,0.9929624,0.0010314207,0.000042059357,0.000008779157],"study_design_scores_gemma":[0.0003256061,0.0000341224,0.0053263544,0.00012114363,0.00008292045,1.6701598e-7,0.000004641601,0.40835348,0.58461475,0.000019887404,0.00028986458,0.0008270636],"about_ca_topic_score_codex":0.00027356454,"about_ca_topic_score_gemma":0.000029062288,"teacher_disagreement_score":0.4083477,"about_ca_system_score_codex":0.00042039194,"about_ca_system_score_gemma":0.00049058674,"threshold_uncertainty_score":0.9991884},"labels":[],"label_agreement":null},{"id":"W3094965993","doi":"10.1016/j.bpsc.2020.10.018","title":"Regional Brain Correlates of Beta Bursts in Health and Psychosis: A Concurrent Electroencephalography and Functional Magnetic Resonance Imaging Study","year":2020,"lang":"en","type":"article","venue":"Biological Psychiatry Cognitive Neuroscience and Neuroimaging","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lawson Health Research Institute; Western University","funders":"NIHR Nottingham Biomedical Research Centre; Medical Research Council; Academic Medical Organization of Southwestern Ontario; Janssen Canada; Canadian Institutes of Health Research; National Institute for Health and Care Research; University of Oxford; Compute Canada; Sunovion; Chrysalis","keywords":"Functional magnetic resonance imaging; Psychosis; BETA (programming language); Neuroscience; Psychology; Electroencephalography; Beta Rhythm; Magnetic resonance imaging; Blood-oxygen-level dependent; Functional imaging; Cognition; Working memory; Medicine; Psychiatry","score_opus":0.055986023139251474,"score_gpt":0.29502761283755585,"score_spread":0.23904158969830439,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094965993","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98034555,0.004577765,0.0001499329,0.013872615,0.00037981733,0.000579279,0.00002213171,0.000046810397,0.00002608484],"genre_scores_gemma":[0.9745221,0.0014815134,0.000017157528,0.023897355,0.000043833366,0.000021920221,0.0000021107055,0.000010860133,0.0000031410918],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99715245,0.00043212177,0.00043488506,0.0012893069,0.0002670952,0.00042411705],"domain_scores_gemma":[0.9989276,0.0004955028,0.00019119063,0.00008441892,0.000036331065,0.00026495234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025541743,0.00025977375,0.00031423313,0.00017836569,0.00028463564,0.000085934436,0.0001335129,0.00003105925,0.0000035610653],"category_scores_gemma":[0.0005711413,0.00021609639,0.00004605119,0.0008241978,0.0009900307,0.00025679116,0.00015027181,0.00039801298,5.453624e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021155519,0.00024227981,0.943442,0.000027652779,6.005546e-7,0.00001594546,0.00021449724,0.0000011808221,0.036464043,0.00089968235,0.00007775479,0.018402811],"study_design_scores_gemma":[0.001319589,0.0028098281,0.98857176,0.00009377076,0.000005880396,0.00011670683,0.00044704776,0.0053823316,0.00007537579,0.0007394627,0.00021886919,0.00021939124],"about_ca_topic_score_codex":0.000012278488,"about_ca_topic_score_gemma":0.0000045424713,"teacher_disagreement_score":0.04512975,"about_ca_system_score_codex":0.0000059078734,"about_ca_system_score_gemma":0.000046230136,"threshold_uncertainty_score":0.8812155},"labels":[],"label_agreement":null},{"id":"W3095218856","doi":"10.3389/fncir.2020.591986","title":"Cortical Stimulation Induces Excitatory Postsynaptic Potentials of Inferior Colliculus Neurons in a Frequency-Specific Manner","year":2020,"lang":"en","type":"article","venue":"Frontiers in Neural Circuits","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Excitatory postsynaptic potential; Neuroscience; Inferior colliculus; Postsynaptic potential; Stimulation; Superior colliculus; Inhibitory postsynaptic potential; Psychology; Biology; Nucleus","score_opus":0.039177635530680814,"score_gpt":0.24608272649415544,"score_spread":0.20690509096347462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095218856","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99639386,0.0001366652,0.00061096373,0.00067603745,0.0013153815,0.0005668878,0.000028073295,0.000057568166,0.0002145685],"genre_scores_gemma":[0.99861526,0.00004661538,0.00011138079,0.0010839055,0.00006667145,0.000023762792,0.000008018763,0.000030455794,0.0000139021995],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99756193,0.00036547583,0.0006532891,0.00062741264,0.00038587005,0.00040600766],"domain_scores_gemma":[0.9992296,0.00018285199,0.000183987,0.00020966268,0.00004288159,0.00015102192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014565584,0.00022653928,0.00041369657,0.0003001557,0.00007208314,0.000047753612,0.00030390965,0.00013137441,0.000029945933],"category_scores_gemma":[0.00073452847,0.00022865708,0.00009369653,0.001023567,0.0001819848,0.0003954907,0.000069453534,0.00046993094,0.000011373016],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000085681364,0.00012362703,0.046086576,0.000044934597,0.000003894863,0.00021061536,0.0003607581,0.0021616225,0.9459441,0.0010051574,0.00029605004,0.0036770343],"study_design_scores_gemma":[0.0018378611,0.00061064964,0.864421,0.00006126494,0.000018724451,0.000029285718,0.00018551672,0.120433226,0.009743949,0.0020816126,0.00008714772,0.0004897628],"about_ca_topic_score_codex":0.000018761579,"about_ca_topic_score_gemma":0.000009119006,"teacher_disagreement_score":0.9362001,"about_ca_system_score_codex":0.00009072405,"about_ca_system_score_gemma":0.00004964083,"threshold_uncertainty_score":0.93243647},"labels":[],"label_agreement":null},{"id":"W3095342267","doi":"10.1101/307009","title":"Distinct prefrontal top-down circuits differentially modulate sensorimotor behavior","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Mental Health; Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Neuroscience; Superior colliculus; Sensory system; Optogenetics; Midbrain; Prefrontal cortex; Superior Colliculi; Psychology; Sensory cue; Visual cortex; Visual system; Cognition; Central nervous system","score_opus":0.02170314716519692,"score_gpt":0.2272261596737719,"score_spread":0.205523012508575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095342267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98836106,0.000041514082,0.0010608794,0.00008960984,0.007261466,0.0014640993,0.0009196163,0.00075889274,0.000042874803],"genre_scores_gemma":[0.9973647,0.00004694039,0.00029318666,0.00023031043,0.001440895,0.00032589398,0.0000012470846,0.00022080778,0.000076017],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99499846,0.00027843378,0.0007447785,0.0022201452,0.0008109049,0.00094727514],"domain_scores_gemma":[0.9967369,0.00010398169,0.00061547087,0.0017740726,0.00032493751,0.0004446511],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000291415,0.000916428,0.0007279102,0.00028817577,0.00043244543,0.00057299016,0.000991947,0.0006664824,0.00020361027],"category_scores_gemma":[0.00047669729,0.0009192866,0.00033684314,0.0004014782,0.0003089059,0.00026684452,0.0009958711,0.0010578543,0.00029343387],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033237156,0.00029049595,0.005321565,0.00015324239,0.000028759361,0.00015621274,0.000004992995,0.000009479228,0.99359775,0.00024166533,0.000149252,0.000013358467],"study_design_scores_gemma":[0.00055385317,0.00017229909,0.43228284,0.00019239105,0.00018735733,1.6501176e-7,4.130356e-7,0.0025857263,0.5616356,0.000008532417,0.0011732914,0.001207533],"about_ca_topic_score_codex":0.000051409497,"about_ca_topic_score_gemma":0.0000052604137,"teacher_disagreement_score":0.43196213,"about_ca_system_score_codex":0.00039209242,"about_ca_system_score_gemma":0.0003068129,"threshold_uncertainty_score":0.99932575},"labels":[],"label_agreement":null},{"id":"W3095405717","doi":"10.3389/fpsyg.2020.01850","title":"EEG Correlates of Learning From Speech Presented in Environmental Noise","year":2020,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"International Laboratory for Brain, Music and Sound Research; Université de Montréal","funders":"Bijzonder Onderzoeksfonds UGent; Vlaamse regering","keywords":"Psychology; Electroencephalography; Environmental noise; Noise (video); Cognitive psychology; Speech recognition; Audiology; Artificial intelligence; Acoustics; Computer science; Neuroscience; Sound (geography)","score_opus":0.020030636758145787,"score_gpt":0.254034740658194,"score_spread":0.2340041039000482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095405717","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939201,0.00010607287,0.0026743454,0.0010191747,0.0011911405,0.00014140553,0.000012432336,0.00001911774,0.0009162109],"genre_scores_gemma":[0.9982632,0.00016336016,0.00064346916,0.0008005425,0.000024972876,0.0000047517506,0.000012785099,0.000012232817,0.00007472695],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989233,0.00016810287,0.00023628522,0.00039294854,0.00010267433,0.00017670944],"domain_scores_gemma":[0.99968517,0.00007049005,0.000085413914,0.00011407935,0.0000017196369,0.000043120697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005622369,0.000091693604,0.00018668882,0.00010476486,0.000018118715,0.000004970535,0.00017619284,0.00009413297,0.00009057718],"category_scores_gemma":[0.00016024176,0.00009529484,0.000034575172,0.0002276011,0.0001154889,0.00006944224,0.000051803647,0.0003497805,0.000025579757],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026600665,0.00010131399,0.60670114,0.0000032679666,0.0000029505775,0.00006661839,0.00033022303,0.00036995436,0.37787142,0.00001568777,0.0017280135,0.012543414],"study_design_scores_gemma":[0.005381736,0.0009505923,0.7153258,0.000044862772,0.000016201027,0.000022363365,0.0010554488,0.2283726,0.030155212,0.008745472,0.009407438,0.0005222859],"about_ca_topic_score_codex":0.000023216422,"about_ca_topic_score_gemma":0.000003658642,"teacher_disagreement_score":0.3477162,"about_ca_system_score_codex":0.000020602936,"about_ca_system_score_gemma":0.0000040504387,"threshold_uncertainty_score":0.38860106},"labels":[],"label_agreement":null},{"id":"W3095411193","doi":"10.1038/s41598-020-75943-4","title":"A measure for intrinsic information","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Brock University","funders":"Templeton World Charity Foundation","keywords":"Measure (data warehouse); Communication source; Symbol (formal); Causality (physics); Computer science; Noise (video); Channel (broadcasting); SIGNAL (programming language); Perspective (graphical); Sequence (biology); Mutual information; Algorithm; Theoretical computer science; Mathematics; Artificial intelligence; Data mining; Telecommunications; Physics; Biology","score_opus":0.036922494695915534,"score_gpt":0.23838833534253473,"score_spread":0.2014658406466192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095411193","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9404624,0.0000144971955,0.021260291,0.008478306,0.020964112,0.0016317366,0.000018412287,0.00042009598,0.0067501552],"genre_scores_gemma":[0.998095,3.7516452e-7,0.00013243209,0.0013139218,0.000076016026,0.000023469338,0.000019366616,0.0000049295622,0.00033452266],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99892896,0.000016150636,0.00025478305,0.0003315861,0.00031542368,0.00015307889],"domain_scores_gemma":[0.9994098,0.000034043074,0.0001609712,0.00020978726,0.00009250541,0.00009286973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033556286,0.000065932785,0.00007345852,0.000057438385,0.0002526865,0.0003298518,0.00007910033,0.000027416641,0.000026872864],"category_scores_gemma":[0.0017147246,0.000055913588,0.000059309037,0.0004181599,0.00006308555,0.00059220544,0.000035342986,0.00005640067,0.000059328253],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046215442,0.000022300288,0.00015853869,0.000056503697,0.0000021738572,0.000040581304,0.00054913847,0.00018494055,0.8620757,0.0029694042,0.06588464,0.06800989],"study_design_scores_gemma":[0.00022486226,0.000102903214,0.00022382113,0.000010369158,0.000008807458,0.00011675398,0.000036647234,0.011957132,0.28497624,0.011413187,0.69073874,0.00019054071],"about_ca_topic_score_codex":0.0000016646093,"about_ca_topic_score_gemma":0.0000013224136,"teacher_disagreement_score":0.6248541,"about_ca_system_score_codex":0.000015716229,"about_ca_system_score_gemma":0.000054553762,"threshold_uncertainty_score":0.31807688},"labels":[],"label_agreement":null},{"id":"W3095680191","doi":"10.1101/2020.11.02.364968","title":"Learning to live with Dale’s principle: ANNs with separate excitatory and inhibitory units","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Medical Research Council; Natural Sciences and Engineering Research Council of Canada; Wellcome Trust; Canadian Institute for Advanced Research","keywords":"Inhibitory postsynaptic potential; Excitatory postsynaptic potential; Artificial neural network; Neuroscience; Computer science; Feed forward; Artificial intelligence; Biological neural network; Machine learning; Psychology; Engineering; Control engineering","score_opus":0.023032895355555055,"score_gpt":0.22632375468326096,"score_spread":0.2032908593277059,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095680191","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967935,0.0000919428,0.00038908335,0.0004338841,0.00049372413,0.0010796521,0.00011574549,0.000570315,0.000032153872],"genre_scores_gemma":[0.9969351,0.00009283796,0.0010065781,0.0012208357,0.00031735966,0.00018566071,3.9568903e-7,0.0001942304,0.00004697271],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99623764,0.0002860021,0.00038638464,0.0018532046,0.00059829553,0.0006384683],"domain_scores_gemma":[0.99767077,0.00015727522,0.00039570074,0.0007326798,0.0004070227,0.0006365753],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028756357,0.00072174304,0.0005804958,0.00027886094,0.00039181553,0.00040653744,0.00043195506,0.00029173083,0.000014372281],"category_scores_gemma":[0.00049808976,0.00063661695,0.000047778205,0.0010865557,0.00025071861,0.00028660768,0.00072078983,0.0014838148,0.000078991776],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003173928,0.0000613874,0.0065815477,0.0003612506,0.000052088744,0.00045846996,0.00017586765,0.0017697471,0.9895415,0.00053905015,0.0001383415,0.0000033851143],"study_design_scores_gemma":[0.0029306938,0.004106837,0.18422596,0.0026086073,0.00036686918,0.0000014265103,0.00013457137,0.009852119,0.7510283,0.0000071910777,0.039769977,0.0049674604],"about_ca_topic_score_codex":0.000022744838,"about_ca_topic_score_gemma":0.000009007915,"teacher_disagreement_score":0.23851319,"about_ca_system_score_codex":0.00018044091,"about_ca_system_score_gemma":0.0006816703,"threshold_uncertainty_score":0.9996085},"labels":[],"label_agreement":null},{"id":"W3095979753","doi":"10.1007/978-981-15-7561-7_16","title":"Evaluation of Bio-movements Using Nonlinear Dynamics","year":2020,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Essilor (Canada); Université de Montréal","funders":"","keywords":"Movement (music); Computer science; Nonlinear system; Eye movement; Computer vision; Artificial intelligence; Dynamics (music); Biological motion; Rotation (mathematics); Position (finance); Sensitivity (control systems); Motion (physics); Motion analysis; Simulation; Physical medicine and rehabilitation; Control theory (sociology); Psychology; Engineering; Physics; Medicine","score_opus":0.05966271785857739,"score_gpt":0.2787561747241676,"score_spread":0.2190934568655902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095979753","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14874166,0.026479894,0.6382538,0.0010860872,0.032999575,0.01562075,0.0010704445,0.0004243978,0.13532338],"genre_scores_gemma":[0.9982757,0.00026187414,0.000049802176,0.00023115684,0.00054105785,0.000006405722,0.000060446066,0.000054736873,0.00051879557],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980587,0.00013125746,0.00048136184,0.0004990757,0.0006516861,0.00017797104],"domain_scores_gemma":[0.99899787,0.00022818628,0.00039470775,0.00020880719,0.00011728109,0.000053162647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005378792,0.00027401588,0.0004397395,0.00012094247,0.000065385146,0.000060682025,0.00012149588,0.00037098024,0.000012443486],"category_scores_gemma":[0.00020203697,0.00023942789,0.00007568878,0.000105455685,0.000067994326,0.00004875382,0.000072829826,0.0004042681,0.000001207337],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051252715,0.000022582548,0.00022069519,0.0002423704,0.000042309155,0.00002072191,0.000053159976,0.94281566,0.003994447,0.009098448,0.000011943571,0.0434264],"study_design_scores_gemma":[0.00028758455,0.00008014651,0.00001041067,0.00040597862,0.00007879163,0.00001374509,0.0000016938026,0.9946674,0.00007651526,0.0038005053,0.00036728644,0.00020993134],"about_ca_topic_score_codex":0.00005205477,"about_ca_topic_score_gemma":0.00010468999,"teacher_disagreement_score":0.8495341,"about_ca_system_score_codex":0.00017141055,"about_ca_system_score_gemma":0.000053208845,"threshold_uncertainty_score":0.9763586},"labels":[],"label_agreement":null},{"id":"W3096698718","doi":"10.1167/jov.20.11.293","title":"Attention to different statistical structures changes over the course of learning","year":2020,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Predictability; Entropy (arrow of time); Computer science; Stimulus (psychology); Statistical learning; Statistics; Cognitive psychology; Psychology; Artificial intelligence; Audiology; Mathematics; Medicine","score_opus":0.028347674031157705,"score_gpt":0.3115967115946314,"score_spread":0.28324903756347375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096698718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903639,0.000013575518,0.003613375,0.0056469543,0.00028336523,0.000054768698,0.0000056395497,0.0000038092444,0.000014624666],"genre_scores_gemma":[0.99899936,0.000030248915,0.000053162512,0.0007545787,0.00014166895,2.0928226e-7,4.807035e-7,0.000005186593,0.000015079648],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99928576,0.00009982792,0.00016823705,0.00008092526,0.000292783,0.000072468974],"domain_scores_gemma":[0.9994739,0.000176826,0.00019591485,0.000042260723,0.000041728657,0.00006934829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000095430005,0.00005578165,0.00011033283,0.000029624187,0.000060696846,0.000028419256,0.00010120644,0.000018686034,0.00006640674],"category_scores_gemma":[0.00034914914,0.000028646828,0.00004291394,0.00008888432,0.000024709558,0.000052343654,0.000041812877,0.000187396,0.0000018692331],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000130827,0.000025554249,0.0011766797,0.000010198612,0.0000031194088,0.00000736107,0.0001600566,0.00059075473,0.9770916,0.0009442755,0.0007417302,0.01911783],"study_design_scores_gemma":[0.00050242816,0.0033294482,0.92090625,0.00007018467,0.00003313397,0.00003952814,0.00014695527,0.03292836,0.038632106,0.0009476494,0.002368555,0.000095381605],"about_ca_topic_score_codex":0.0000011106647,"about_ca_topic_score_gemma":0.0000016454496,"teacher_disagreement_score":0.9384595,"about_ca_system_score_codex":0.000010198138,"about_ca_system_score_gemma":0.0000071820587,"threshold_uncertainty_score":0.116818376},"labels":[],"label_agreement":null},{"id":"W3097105308","doi":"10.1016/j.neuron.2020.10.013","title":"The Anterior Cingulate Cortex Predicts Future States to Mediate Model-Based Action Selection","year":2020,"lang":"en","type":"article","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":187,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; Fundação para a Ciência e a Tecnologia; European Research Council; National Institutes of Health; Max-Planck-Gesellschaft; CANDU Owners Group; University of Oxford; Gatsby Charitable Foundation; Australian Research Council; Wellcome Trust; Alexander von Humboldt-Stiftung","keywords":"Anterior cingulate cortex; Action selection; Task (project management); Optogenetics; Neuroscience; Action (physics); Psychology; Reinforcement learning; Reinforcement; Cognitive psychology; Cingulate cortex; Selection (genetic algorithm); Computer science; Control (management); Artificial intelligence; Cognition; Social psychology","score_opus":0.023067711134083686,"score_gpt":0.2530412953734754,"score_spread":0.22997358423939174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097105308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9782129,0.0000072181865,0.0044669462,0.015292038,0.0013366693,0.0003482692,0.0000181205,0.00023406187,0.000083778206],"genre_scores_gemma":[0.98858726,0.00009400323,0.000031129148,0.010673592,0.00040134916,0.000018826751,0.0000047012572,0.00002762173,0.00016154612],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998772,0.00009499572,0.00017579923,0.00042326396,0.0002794262,0.00025450488],"domain_scores_gemma":[0.9994964,0.00009547055,0.000087214736,0.0001354142,0.000036677502,0.00014884637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006787632,0.00014180661,0.00010077417,0.000039175466,0.00034900077,0.00012172408,0.00016204003,0.000045900353,0.000009148192],"category_scores_gemma":[0.00017806482,0.000103658684,0.000050752737,0.0003539035,0.000028991506,0.0001441889,0.000038617647,0.0002231424,0.000040839448],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027713293,0.000014964758,0.00006897731,0.000013077615,0.0000011673183,0.0000054474403,0.00009603659,0.038134273,0.9490384,0.00004532557,0.0012964898,0.01100875],"study_design_scores_gemma":[0.0002409738,0.00045466237,0.0039554886,0.0000067037013,0.000007946639,0.0000044005455,0.000012058584,0.90103626,0.08652739,0.00008989954,0.0075574038,0.00010678513],"about_ca_topic_score_codex":0.0000048511774,"about_ca_topic_score_gemma":0.000025128647,"teacher_disagreement_score":0.862902,"about_ca_system_score_codex":0.0000314819,"about_ca_system_score_gemma":0.000033440254,"threshold_uncertainty_score":0.42270786},"labels":[],"label_agreement":null},{"id":"W3097113877","doi":"10.1016/j.nicl.2020.102485","title":"Patient, interrupted: MEG oscillation dynamics reveal temporal dysconnectivity in schizophrenia","year":2020,"lang":"en","type":"article","venue":"NeuroImage Clinical","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute; Institut universitaire en santé mentale de Montréal; Institut Universitaire en Santé Mentale de Québec; Université de Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Engineering and Physical Sciences Research Council; Medical Research Council; Cardiff University; Fonds de Recherche du Québec - Santé; Institut de Valorisation des Données; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Magnetoencephalography; Schizophrenia (object-oriented programming); Neuroscience; Psychology; Neuroimaging; Electroencephalography; Psychiatry","score_opus":0.08771843359348735,"score_gpt":0.3343841387657768,"score_spread":0.24666570517228942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097113877","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9904751,0.0000039450633,0.0007958032,0.0055921716,0.0012273848,0.00038328842,0.0000476449,0.00017996806,0.0012946728],"genre_scores_gemma":[0.9918179,0.000016033659,0.00023801673,0.007572177,0.00024556197,0.000008117489,0.00001786941,0.0000370453,0.000047298672],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99665284,0.00073248846,0.00086742576,0.0010749919,0.00033580282,0.0003364315],"domain_scores_gemma":[0.9982042,0.0009045625,0.00026932184,0.00034537428,0.00004090738,0.00023566808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003550622,0.00023423816,0.00038051407,0.00009642783,0.00010193952,0.000096262935,0.0002643038,0.00015350437,0.000038277038],"category_scores_gemma":[0.006352478,0.00022606125,0.00018619317,0.0006053892,0.00018061396,0.0003962372,0.00025918143,0.000957431,0.00012200231],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005915268,0.0017695732,0.49740782,0.0001624146,0.000017849015,0.0017846976,0.00049295655,0.0008895429,0.18665628,0.0062023727,0.004949808,0.29375142],"study_design_scores_gemma":[0.004066565,0.0031076001,0.28945175,0.000058685448,0.000024924417,0.00007139437,0.00005567487,0.6930548,0.0039092996,0.0018406583,0.003533438,0.0008252484],"about_ca_topic_score_codex":0.000027767166,"about_ca_topic_score_gemma":0.00007761592,"teacher_disagreement_score":0.69216526,"about_ca_system_score_codex":0.00005966614,"about_ca_system_score_gemma":0.000056442655,"threshold_uncertainty_score":0.92185104},"labels":[],"label_agreement":null},{"id":"W3097444267","doi":"10.1101/2020.09.13.295568","title":"Sustained neural activity correlates with rapid perceptual learning of auditory patterns","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto; Western University","funders":"Canadian Institutes of Health Research; Canada First Research Excellence Fund","keywords":"Perceptual learning; Perception; Stimulus (psychology); Psychology; Neural activity; Cognitive psychology; Communication; Neuroscience","score_opus":0.017899520243033793,"score_gpt":0.21330064372196814,"score_spread":0.19540112347893435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097444267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99504775,0.000032382246,0.001589725,0.00039394645,0.0016841878,0.0006286517,0.00015026068,0.00045674323,0.000016336735],"genre_scores_gemma":[0.99883395,0.000093000235,0.00011527389,0.00022194789,0.00051646354,0.0000613319,4.1183367e-7,0.00014539962,0.0000121912335],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9966266,0.0004212231,0.00042689143,0.001344213,0.00061712094,0.00056393095],"domain_scores_gemma":[0.9977546,0.0002712242,0.0007222609,0.0007173725,0.0002677618,0.00026678634],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002486247,0.0006134863,0.0006753351,0.00021905982,0.00024297535,0.00016369057,0.00056378846,0.00037729953,0.00008165646],"category_scores_gemma":[0.00068144687,0.0005755317,0.0001953203,0.0004926652,0.00025512557,0.00025026847,0.00080230576,0.0018231462,0.000022716273],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022987324,0.00011663379,0.008113105,0.00039980153,0.000037711186,0.00012859219,0.000028021554,0.00096474815,0.9896896,0.00022506491,0.00005424744,0.000012628328],"study_design_scores_gemma":[0.0013804478,0.0011395337,0.17589173,0.0004750155,0.00021382449,1.8507876e-7,0.000039409664,0.062638074,0.75607914,0.0000047010794,0.00046548512,0.0016724785],"about_ca_topic_score_codex":0.000036577327,"about_ca_topic_score_gemma":0.000001338366,"teacher_disagreement_score":0.23361047,"about_ca_system_score_codex":0.00018287187,"about_ca_system_score_gemma":0.00034338536,"threshold_uncertainty_score":0.9996696},"labels":[],"label_agreement":null},{"id":"W3097518883","doi":"10.1007/s11229-020-02895-7","title":"Information-devoid routes for scale-free neurodynamics","year":2020,"lang":"en","type":"article","venue":"Synthese","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Connectome; Transfer entropy; Computer science; Information transfer; Perception; Scale (ratio); Artificial intelligence; Neuroscience; Cognitive science; Physics; Psychology; Functional connectivity; Principle of maximum entropy","score_opus":0.02251038854745388,"score_gpt":0.22911323529194913,"score_spread":0.20660284674449525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097518883","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93994826,0.0000076700035,0.017670577,0.030529374,0.0010657698,0.0009422776,0.0004996742,0.00036837833,0.008968025],"genre_scores_gemma":[0.99052,0.000010780823,0.0004777086,0.008671172,0.00012541012,0.00003745992,0.000016677566,0.000015673018,0.00012512595],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992343,0.000029863819,0.00019109322,0.00017472876,0.00017044655,0.00019953016],"domain_scores_gemma":[0.9991813,0.00036759168,0.00007705623,0.00023659889,0.000034996097,0.00010245787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006691812,0.000111169764,0.00011035416,0.0000411077,0.0001262373,0.000100150835,0.00033899234,0.000040632043,0.000039735],"category_scores_gemma":[0.003094326,0.00009719177,0.00007836049,0.00019448924,0.000045996454,0.0005403273,0.00010107631,0.00009675179,0.00010947739],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006586293,0.00014476368,0.0014805341,0.00038935483,0.000015013952,0.00001118077,0.0021604842,0.0024236457,0.83914334,0.059732277,0.024518056,0.06932273],"study_design_scores_gemma":[0.0013335817,0.0005750118,0.001815675,0.00002998969,0.00003401148,0.000028412502,0.00032582105,0.7451848,0.0960818,0.011212638,0.14268804,0.00069021777],"about_ca_topic_score_codex":0.000005475056,"about_ca_topic_score_gemma":0.000004893637,"teacher_disagreement_score":0.74306154,"about_ca_system_score_codex":0.000014587478,"about_ca_system_score_gemma":0.000020229772,"threshold_uncertainty_score":0.39633656},"labels":[],"label_agreement":null},{"id":"W3097701699","doi":"10.1152/jn.00480.2020","title":"Whole brain mapping of somatosensory responses in awake marmosets investigated with ultra-high-field fMRI","year":2020,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Government of Canada","keywords":"Marmoset; Somatosensory system; Neuroscience; Macaque; Primate; Thalamus; Callithrix; Putamen; Functional magnetic resonance imaging; Brain mapping; Sensory stimulation therapy; Psychology; Representation (politics); Biology; Anatomy; Sensory system","score_opus":0.03689626702756803,"score_gpt":0.24591853660324864,"score_spread":0.2090222695756806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097701699","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9824807,0.0000046311816,0.00008597732,0.017037671,0.0002265922,0.000093739975,0.000007845436,0.00001399743,0.000048822458],"genre_scores_gemma":[0.98782945,0.000021497208,0.00012038387,0.01186254,0.00009257596,9.789184e-7,7.1883125e-7,0.000019037914,0.00005282626],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99829847,0.00050546654,0.0005204231,0.00025366107,0.00020722489,0.00021475232],"domain_scores_gemma":[0.99816394,0.0010320585,0.0004813212,0.00013274237,0.000069101225,0.000120815545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000066621986,0.00014614145,0.0003893053,0.00019837616,0.00004747097,0.0000137719235,0.00025148774,0.00006756057,0.000013810993],"category_scores_gemma":[0.0016875744,0.000111374546,0.000073347204,0.00049842487,0.00014579608,0.00015103893,0.000039371047,0.0004721188,0.0000073862566],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007324466,0.000053940785,0.0003969653,0.00003466152,0.000005718018,0.0006071677,0.00016930151,0.001346513,0.9959418,0.00015660009,0.0002684326,0.00028645433],"study_design_scores_gemma":[0.002522157,0.0062625255,0.11749693,0.0001687451,0.00001838971,0.000765169,0.00017639402,0.0037024377,0.8652326,0.0016818314,0.0016615248,0.00031133406],"about_ca_topic_score_codex":0.000007650944,"about_ca_topic_score_gemma":0.0000010280996,"teacher_disagreement_score":0.13070923,"about_ca_system_score_codex":0.000011443817,"about_ca_system_score_gemma":0.00008421529,"threshold_uncertainty_score":0.45417222},"labels":[],"label_agreement":null},{"id":"W3098293942","doi":"10.1101/148643","title":"Brain-state invariant thalamo-cortical coordination revealed by non-linear encoders","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Neuroscience; Sensory system; Thalamus; Computer science; Wakefulness; Population; Interpretability; Artificial intelligence; Psychology; Electroencephalography","score_opus":0.021549677776642785,"score_gpt":0.24395006791398033,"score_spread":0.22240039013733753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3098293942","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9820426,0.000067888745,0.008013866,0.0036137693,0.003870365,0.0013165842,0.0005316816,0.00045878845,0.00008446399],"genre_scores_gemma":[0.99690884,0.00015744446,0.0005772086,0.001468196,0.0003685931,0.00016148681,0.0000013188146,0.00015750386,0.00019938494],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99566954,0.00035248447,0.0006989439,0.0017751114,0.00071221875,0.0007916723],"domain_scores_gemma":[0.996268,0.00038958367,0.00084852625,0.0017892929,0.00031604225,0.00038859673],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009292335,0.0006946815,0.0006577885,0.00024724365,0.00069272943,0.0006135114,0.0011282956,0.00045706108,0.000039288414],"category_scores_gemma":[0.0031814107,0.0007120529,0.00022928817,0.00031956428,0.0003219793,0.00041328222,0.0007330399,0.0015175613,0.00016796889],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005337909,0.00014218414,0.001193073,0.00016289599,0.000027652928,0.00012656502,0.00000777203,0.00011069093,0.9923578,0.00054124696,0.0052726087,0.0000041624708],"study_design_scores_gemma":[0.0017236165,0.00023097033,0.044267386,0.0006107148,0.00013117242,2.0438726e-7,0.000001780828,0.07423522,0.86759835,0.00006232599,0.009090725,0.0020475446],"about_ca_topic_score_codex":0.00009558565,"about_ca_topic_score_gemma":0.000005105503,"teacher_disagreement_score":0.12475943,"about_ca_system_score_codex":0.00029210333,"about_ca_system_score_gemma":0.00046781698,"threshold_uncertainty_score":0.99953306},"labels":[],"label_agreement":null},{"id":"W3098935092","doi":"","title":"Identifying and interpreting tuning dimensions in deep networks.","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; University of Waterloo","funders":"","keywords":"DECIPHER; Deep neural networks; Computer science; Artificial intelligence; Dimension (graph theory); Artificial neural network; Variance (accounting); Stimulus (psychology); Filter (signal processing); Machine learning; Pattern recognition (psychology); Psychology; Cognitive psychology; Mathematics; Computer vision; Biology","score_opus":0.10042513446254932,"score_gpt":0.2075224382511462,"score_spread":0.10709730378859687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3098935092","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91419196,0.0000395189,0.0838512,0.00013174833,0.0006321539,0.00020082599,0.000003933442,0.0001090827,0.0008395703],"genre_scores_gemma":[0.9989929,0.0003310044,0.00006792244,0.0004050087,0.0000429156,5.4122336e-7,0.0000055701903,0.000022006361,0.0001321303],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983977,0.00016745404,0.00017026899,0.00095176994,0.000049687056,0.0002631197],"domain_scores_gemma":[0.9992059,0.0002487695,0.0001542974,0.00025354838,0.000018946652,0.00011857755],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012195294,0.00020900083,0.00023147612,0.00018707033,0.00015769563,0.0001033511,0.00029338105,0.0001523426,0.000013543097],"category_scores_gemma":[0.00021690383,0.000248562,0.00008138254,0.00043763706,0.00009120285,0.00018183082,0.0014924485,0.0008249202,0.000010237534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001974154,0.0000836195,0.02513428,0.00020773646,0.000030204583,0.002586681,0.0010498904,0.8562964,0.049760878,0.06235815,0.00006930677,0.0022254034],"study_design_scores_gemma":[0.00020027178,0.000021281376,0.0011034511,0.00019447877,0.000023286788,0.0000068227378,0.0001391654,0.98678255,0.00020099925,0.011054655,0.000028566163,0.00024444412],"about_ca_topic_score_codex":0.0000719938,"about_ca_topic_score_gemma":0.00008183512,"teacher_disagreement_score":0.13048615,"about_ca_system_score_codex":0.00009564255,"about_ca_system_score_gemma":0.00002214698,"threshold_uncertainty_score":0.99999666},"labels":[],"label_agreement":null},{"id":"W3099479723","doi":"10.1162/netn_e_00167","title":"Editorial: Network Communication in the Brain","year":2020,"lang":"en","type":"editorial","venue":"Network Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Computer science; Telecommunications network; Focus (optics); Information flow; Communications system; The Internet; Neuroscience; Signal-flow graph; Cognitive science; Computer network; Psychology; Engineering; World Wide Web; Physics","score_opus":0.023176315745786033,"score_gpt":0.27371544538765746,"score_spread":0.2505391296418714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3099479723","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000077085366,0.00011022903,0.000102051825,0.0049232976,0.99193656,0.0007436569,0.000039794133,0.00016779058,0.0018995015],"genre_scores_gemma":[0.003747739,0.00069008797,0.00003514108,0.012944436,0.9819177,0.0001094416,0.000058994792,0.000070623464,0.0004258572],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9924813,0.0019025172,0.0006854319,0.00147643,0.0023855187,0.0010687923],"domain_scores_gemma":[0.98993605,0.007938472,0.0005346906,0.0013567267,0.00008692666,0.00014710915],"candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0021336765,0.0005131817,0.0004934643,0.000077800505,0.0009148186,0.0007349534,0.003874189,0.00061406405,0.00000961843],"category_scores_gemma":[0.010026017,0.00039648858,0.0001722621,0.0028936106,0.0005095191,0.00039905767,0.0006551569,0.0033822919,0.0000657502],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048951057,0.000037083602,0.00001887899,0.0000155631,4.6829058e-7,0.000023491706,0.00006349375,0.0071263416,0.0010195778,0.0010526667,0.9902574,0.000336103],"study_design_scores_gemma":[0.000261924,0.00020059224,0.000096343276,0.000088298686,0.000010528761,0.0000046608843,0.000005246721,0.006924185,0.00001063717,0.0030787725,0.9889454,0.00037335747],"about_ca_topic_score_codex":0.00004215332,"about_ca_topic_score_gemma":0.00010111466,"teacher_disagreement_score":0.010018914,"about_ca_system_score_codex":0.00009411765,"about_ca_system_score_gemma":0.0002969014,"threshold_uncertainty_score":0.9998487},"labels":[],"label_agreement":null},{"id":"W3099973032","doi":"10.1002/jnr.24748","title":"Intracranial recordings reveal ubiquitous in‐phase and in‐antiphase functional connectivity between homotopic brain regions in humans","year":2020,"lang":"en","type":"article","venue":"Journal of Neuroscience Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Neuroscience; Functional connectivity; Electrophysiology; Lag; Computer science; Physics; Psychology; Computer network","score_opus":0.2034127643805342,"score_gpt":0.40149838053204817,"score_spread":0.19808561615151396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3099973032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9795264,0.000015128163,0.00030144537,0.01943014,0.0003271205,0.00029164116,0.00001067203,0.000008638309,0.00008880649],"genre_scores_gemma":[0.9985945,0.00011182366,0.000026648151,0.0009178747,0.00027949797,0.0000054385505,3.713873e-7,0.0000124812295,0.000051353003],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9963816,0.0008357153,0.00064150296,0.0005731005,0.0009874996,0.0005806071],"domain_scores_gemma":[0.9976809,0.001591953,0.00019030625,0.00014215912,0.000102105,0.00029254504],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0027026136,0.00014101769,0.00034626102,0.00095315994,0.00021658995,0.00017052432,0.00043313525,0.00008177087,0.000009818298],"category_scores_gemma":[0.0088928,0.00012821911,0.00006228445,0.0024978956,0.00045396114,0.00085092447,0.00019169162,0.001677661,0.0000025048191],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046762527,0.00030569828,0.05875051,0.000027393771,5.042016e-7,0.0012768261,0.00026741662,0.00010555972,0.93238926,0.00033510977,0.0002417624,0.005832311],"study_design_scores_gemma":[0.0058224257,0.0039629308,0.95856154,0.00017368686,0.0000043404925,0.00051166175,0.00020902662,0.014536969,0.009223038,0.004931345,0.0017442557,0.00031877728],"about_ca_topic_score_codex":0.00005011631,"about_ca_topic_score_gemma":0.00010707158,"teacher_disagreement_score":0.9231662,"about_ca_system_score_codex":0.00013910959,"about_ca_system_score_gemma":0.00023335399,"threshold_uncertainty_score":0.9994557},"labels":[],"label_agreement":null},{"id":"W3100104851","doi":"10.1101/501379","title":"Linking Demyelination to Compound Action Potential Dispersion with a Spike-Diffuse-Spike Approach","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Jitter; Neuroscience; Transmission (telecommunications); Spike (software development); Action (physics); Sodium channel; Action potential; Computer science; Physics; Biological system; Electrophysiology; Biology; Chemistry; Telecommunications","score_opus":0.026992216983757342,"score_gpt":0.2338965508366232,"score_spread":0.20690433385286586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3100104851","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9371534,0.000025005242,0.058128987,0.0003433121,0.0024433949,0.0012473124,0.00008423092,0.00054780464,0.000026533438],"genre_scores_gemma":[0.9923232,0.000060552968,0.0054184473,0.0006084014,0.0012470193,0.00015700693,0.0000018089976,0.00016547636,0.000018070381],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9958973,0.00022940365,0.0005012437,0.0018386103,0.0008815067,0.00065193366],"domain_scores_gemma":[0.9976474,0.00006433763,0.00051176804,0.0010353203,0.00040910678,0.00033207904],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00047005794,0.0006552325,0.0004889955,0.0004944587,0.00057362096,0.00062223215,0.00064982346,0.00051278935,0.00001941502],"category_scores_gemma":[0.00020614227,0.0006147437,0.00015729306,0.00084830367,0.00016829881,0.0003787277,0.0006051238,0.00090834306,0.000112027556],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025887685,0.00028973178,0.0005564908,0.0002350227,0.000022035189,0.000037683716,0.000014928319,0.0013240313,0.9968744,0.00024332487,0.000125053,0.000018445655],"study_design_scores_gemma":[0.0019693288,0.00075946614,0.04726213,0.0009658657,0.00023102906,8.4035156e-7,0.000012164038,0.11580116,0.82489675,0.000020425403,0.0056658546,0.0024149818],"about_ca_topic_score_codex":0.00003372096,"about_ca_topic_score_gemma":0.000004346401,"teacher_disagreement_score":0.17197762,"about_ca_system_score_codex":0.00045804647,"about_ca_system_score_gemma":0.00022396042,"threshold_uncertainty_score":0.9996304},"labels":[],"label_agreement":null},{"id":"W3100682276","doi":"10.1101/134379","title":"The role of untuned neurons in sensory information coding","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Canadian Institute for Advanced Research","keywords":"Neural coding; Stimulus (psychology); Population; Sensory system; Neuroscience; Coding (social sciences); Psychology; Communication; Cognitive psychology; Mathematics; Sociology","score_opus":0.018467190451840095,"score_gpt":0.2229751665667393,"score_spread":0.2045079761148992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3100682276","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968018,0.00008831847,0.000109704364,0.0003331264,0.0016682212,0.0005988615,0.0001446318,0.00011777405,0.0001375789],"genre_scores_gemma":[0.99920636,0.0003918914,0.00006330854,0.00015094603,0.00009295902,0.000055057983,1.1507027e-7,0.000032975535,0.000006352835],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99813586,0.00017338616,0.0005278751,0.0004306245,0.0003623031,0.00036994944],"domain_scores_gemma":[0.9975901,0.00025012362,0.0007744809,0.001138847,0.0001613207,0.000085131294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005162122,0.00028261557,0.0002956278,0.00021833015,0.0003815388,0.0003647975,0.00073378184,0.0002341394,0.0000040898663],"category_scores_gemma":[0.0015163212,0.00024495018,0.00010257466,0.00021392237,0.00018793836,0.00043323508,0.0004834355,0.0006860247,0.000028667944],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035740293,0.00002779329,0.0015694665,0.00007690584,0.0000056763265,0.000007571011,0.000009510497,0.00019404323,0.99191517,0.0061073615,0.000020479669,0.000030268018],"study_design_scores_gemma":[0.00036855272,0.000044883058,0.0639192,0.00021960515,0.000022255916,2.6343134e-8,0.0000059022204,0.019555403,0.90489924,0.000060642626,0.0104701035,0.00043420988],"about_ca_topic_score_codex":0.00006235533,"about_ca_topic_score_gemma":0.000006528704,"teacher_disagreement_score":0.08701597,"about_ca_system_score_codex":0.00011166525,"about_ca_system_score_gemma":0.00023675714,"threshold_uncertainty_score":0.9988779},"labels":[],"label_agreement":null},{"id":"W3100884564","doi":"10.3389/fnbeh.2020.598561","title":"Evolving Consciousness: Insights From Turing, and the Shaping of Experience","year":2020,"lang":"en","type":"article","venue":"Frontiers in Behavioral Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Consciousness; Sentience; Cognitive science; Analogy; Turing; Parallels; Qualia; Computer science; Process (computing); Epistemology; Psychology; Conceptual framework; Function (biology); Artificial intelligence; Cognitive psychology; Philosophy; Biology; Evolutionary biology","score_opus":0.054302159532131834,"score_gpt":0.27112881260226634,"score_spread":0.21682665307013452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3100884564","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99553436,0.00021402331,0.0020056847,0.00058362423,0.0012474784,0.0002839302,0.000014540567,0.00004187583,0.000074477815],"genre_scores_gemma":[0.99743605,0.000085419975,0.00039619778,0.0020078463,0.000028901197,0.000018309236,5.299421e-7,0.000011266622,0.000015480604],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982442,0.00015604669,0.0003166899,0.0006638881,0.00037384397,0.00024532375],"domain_scores_gemma":[0.9993755,0.00011881758,0.00015789008,0.00021940997,0.000021570846,0.00010680119],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000079542275,0.0001589315,0.00026042096,0.00008111751,0.00021165545,0.000113278766,0.0005656061,0.000043752774,0.0000056168815],"category_scores_gemma":[0.00055786263,0.00011563982,0.00004901616,0.0006465485,0.0014125583,0.0005200763,0.0002513448,0.00024908804,8.7578115e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011271986,0.000050787352,0.049066268,0.0000087269445,2.6966686e-7,0.00004375992,0.0042338516,0.00012644207,0.943664,0.00080525805,0.000112050344,0.0017758483],"study_design_scores_gemma":[0.0043578385,0.0005234954,0.16617067,0.00015344139,0.000040343217,0.000031414198,0.0029373069,0.45819405,0.36093026,0.0045438497,0.0011972461,0.00092009286],"about_ca_topic_score_codex":0.00009779272,"about_ca_topic_score_gemma":0.0000072480266,"teacher_disagreement_score":0.58273375,"about_ca_system_score_codex":0.00001973321,"about_ca_system_score_gemma":0.000026026395,"threshold_uncertainty_score":0.520463},"labels":[],"label_agreement":null},{"id":"W3101466225","doi":"","title":"Recurrent neural networks learn robust representations by dynamically balancing compression and expansion","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Curse of dimensionality; Computer science; Recurrent neural network; Stochastic gradient descent; Dimensionality reduction; Artificial intelligence; Generalization; Artificial neural network; Gradient descent; Task (project management); Chaotic; Dynamical systems theory; Machine learning; Mathematics","score_opus":0.029426211188113147,"score_gpt":0.2733511511008031,"score_spread":0.24392493991268996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3101466225","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8996268,0.00022266684,0.08857154,0.0017072391,0.005385448,0.0012788606,0.0000861373,0.0003563115,0.0027649982],"genre_scores_gemma":[0.9957707,0.0005293021,0.00027328526,0.0007141484,0.00013004137,0.000033230226,0.00025907552,0.00004616343,0.0022440844],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99724543,0.00028320766,0.00044176183,0.0012570578,0.00039524413,0.00037731242],"domain_scores_gemma":[0.99851835,0.0004058285,0.00027409015,0.0005905298,0.000057585683,0.00015364509],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015835298,0.000359879,0.00036355582,0.00010481292,0.00025358069,0.00029534323,0.0003107092,0.00030446865,0.000079435405],"category_scores_gemma":[0.0001959634,0.0003026775,0.000118007,0.00014838389,0.00009424125,0.0001832117,0.0011858722,0.0011585627,0.000012775119],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015234608,0.00016927424,0.002543301,0.00016623607,0.000010865504,0.000015979364,0.00007669239,0.8322123,0.118067935,0.0005182063,0.011626957,0.034439888],"study_design_scores_gemma":[0.00028496093,0.000099167075,0.0016703025,0.00013395851,0.000019052271,0.000018022998,0.000023607949,0.9963156,0.00060998957,0.00020761734,0.00027614977,0.00034158875],"about_ca_topic_score_codex":0.000109551984,"about_ca_topic_score_gemma":0.00001844806,"teacher_disagreement_score":0.16410325,"about_ca_system_score_codex":0.00007001731,"about_ca_system_score_gemma":0.000026858916,"threshold_uncertainty_score":0.99994254},"labels":[],"label_agreement":null},{"id":"W3101539063","doi":"10.1101/178145","title":"Ventromedial prefrontal cortex compression during concept learning","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Institute of Mental Health; Leverhulme Trust; National Institute of Child Health and Human Development; Wellcome Trust","keywords":"Ventromedial prefrontal cortex; Prefrontal cortex; Dimensionality reduction; Psychology; Curse of dimensionality; Cognitive psychology; Computer science; Focus (optics); Artificial intelligence; Machine learning; Neuroscience; Cognition; Physics","score_opus":0.017209983775937555,"score_gpt":0.23013035161493142,"score_spread":0.21292036783899387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3101539063","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924867,0.00017637959,0.0002489322,0.0001189774,0.0054251757,0.0006877362,0.00016856771,0.0006494466,0.000038061018],"genre_scores_gemma":[0.99813175,0.00017451655,0.00016662826,0.000093572315,0.0011183678,0.000093232666,7.621387e-7,0.00013877796,0.00008239468],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9963562,0.00026039657,0.00049547764,0.0015131728,0.00065578055,0.0007189743],"domain_scores_gemma":[0.99729836,0.00011359798,0.00088166737,0.0012381466,0.0001461291,0.00032211564],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022820577,0.0006067329,0.0006022835,0.00019570207,0.0009896824,0.00059034984,0.0009803622,0.00050822727,0.00008426949],"category_scores_gemma":[0.0008123752,0.0006298151,0.00022376013,0.00013849112,0.00030339,0.00034237362,0.0012048006,0.0017249672,0.00010960958],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000071260445,0.00008470387,0.00097619364,0.00014060402,0.000019185954,0.00018352766,0.000011330531,0.000319936,0.99797326,0.00015945711,0.00005635339,0.0000042040797],"study_design_scores_gemma":[0.00096269744,0.00010321439,0.2709097,0.00052446267,0.000057679124,1.1921733e-7,0.0000015550378,0.005530009,0.7185484,0.00000409149,0.0024895687,0.00086851843],"about_ca_topic_score_codex":0.000033615168,"about_ca_topic_score_gemma":0.0000011989606,"teacher_disagreement_score":0.27942485,"about_ca_system_score_codex":0.00028325498,"about_ca_system_score_gemma":0.0002356575,"threshold_uncertainty_score":0.9996153},"labels":[],"label_agreement":null},{"id":"W3101586630","doi":"10.1101/133801","title":"Dissociable neural information dynamics of perceptual integration and differentiation during bistable perception","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Fondo Nacional de Desarrollo Científico y Tecnológico; Fondo para la Investigación Científica y Tecnológica; Wellcome Trust","keywords":"Percept; Perception; Bistability; Neurophysiology; Information integration; Psychology; Cognitive psychology; Neural correlates of consciousness; Neural adaptation; Computer science; Communication; Neuroscience; Cognition; Data mining; Physics","score_opus":0.014219307362652884,"score_gpt":0.21684495880721733,"score_spread":0.20262565144456443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3101586630","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949429,0.000017672044,0.0026400029,0.00018577276,0.0011268797,0.00055037416,0.00034872052,0.00016420241,0.00002349137],"genre_scores_gemma":[0.99927557,0.00019774084,0.00022749387,0.000046756126,0.00013077057,0.000055562745,0.000005902089,0.000043259835,0.000016942897],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9980257,0.00012618362,0.0005380826,0.0005632927,0.00041678522,0.00032996605],"domain_scores_gemma":[0.9979911,0.00005162984,0.0009059792,0.0006555201,0.00028217156,0.00011359532],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000246641,0.00037634425,0.00039203535,0.00029422488,0.0004908467,0.00055434654,0.00032806196,0.00036760038,0.000031588766],"category_scores_gemma":[0.00057751697,0.00038501585,0.00010846817,0.00016819923,0.00016737502,0.0013375618,0.00037297554,0.00055321876,0.000010544797],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005219251,0.000056678215,0.0034174724,0.00035776588,0.000011402143,0.0000017884348,0.00006650334,0.00023087907,0.9944256,0.0013203619,0.000010790581,0.000048544887],"study_design_scores_gemma":[0.00068174856,0.00009820114,0.57804626,0.0003284898,0.00009802751,8.1025775e-8,0.000043904045,0.2744421,0.14548917,0.00003716691,0.000041585598,0.00069324655],"about_ca_topic_score_codex":0.00011823136,"about_ca_topic_score_gemma":0.000013223107,"teacher_disagreement_score":0.84893644,"about_ca_system_score_codex":0.000368318,"about_ca_system_score_gemma":0.00009090968,"threshold_uncertainty_score":0.99986017},"labels":[],"label_agreement":null},{"id":"W3101850547","doi":"10.3934/mbe.2020403","title":"Stability, bifurcation and phase-locking of time-delayed excitatory-inhibitory neural networks","year":2020,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Excitatory postsynaptic potential; Bistability; Inhibitory postsynaptic potential; Coupling (piping); Bifurcation; Hopf bifurcation; Biological neuron model; Population; Physics; Control theory (sociology); Neuron; Neuroscience; Equilibrium point; Biological system; Computer science; Nonlinear system; Biology; Materials science; Artificial intelligence","score_opus":0.02749098859866212,"score_gpt":0.23687406583740273,"score_spread":0.2093830772387406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3101850547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93221015,0.000029362423,0.066753745,0.0004316375,0.00014722915,0.0001815609,0.0000055877103,0.0001186662,0.00012204384],"genre_scores_gemma":[0.99913156,0.0000059034596,0.0006008027,0.00017334112,0.00006455392,0.00000581386,8.4713196e-7,0.000011893458,0.000005312577],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99880034,0.000033081054,0.00030161117,0.00034723658,0.0002826511,0.00023510511],"domain_scores_gemma":[0.99928045,0.00035468015,0.00008046616,0.00011827751,0.000021169331,0.00014495855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022392416,0.00013639913,0.00019463677,0.000054914264,0.000079471756,0.000063793326,0.00017741205,0.00004602448,0.000036305755],"category_scores_gemma":[0.0006538184,0.000114240764,0.00004687208,0.00043992823,0.00016048197,0.00023801316,0.00009564766,0.00013024986,0.000006372896],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000110679675,0.000045858193,0.000035635134,0.00006965703,0.0000015523021,0.0000021474546,0.00022561077,0.0052307406,0.9896595,0.0036509733,0.0000107992,0.0010564526],"study_design_scores_gemma":[0.0001614231,0.00018620485,0.00003819747,0.000019672338,0.00000661182,0.0000062893287,0.000027745698,0.92238384,0.076754846,0.00027456583,0.00002606232,0.0001145506],"about_ca_topic_score_codex":0.0000010970547,"about_ca_topic_score_gemma":1.348849e-7,"teacher_disagreement_score":0.9171531,"about_ca_system_score_codex":0.000014695496,"about_ca_system_score_gemma":0.000009370898,"threshold_uncertainty_score":0.46586034},"labels":[],"label_agreement":null},{"id":"W3102743520","doi":"10.1101/023291","title":"Topology, cross-frequency, and same-frequency band interactions shape the generation of phase-amplitude coupling in a neural mass model of a cortical column","year":2015,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Amplitude; Coupling (piping); Physics; Phase (matter); Topology (electrical circuits); Frequency band; Cluster analysis; Biological system; Statistical physics; Computer science; Mathematics; Telecommunications; Artificial intelligence; Optics; Materials science; Quantum mechanics; Biology","score_opus":0.07063265495780273,"score_gpt":0.30415404182622696,"score_spread":0.23352138686842422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3102743520","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99522364,0.00019540184,0.0021902304,0.00035764114,0.000878889,0.00071009,0.0003776394,0.000057769517,0.000008685207],"genre_scores_gemma":[0.99828315,0.000086889384,0.0011318731,0.00018322877,0.00014748416,0.00011631294,7.625069e-7,0.000047048306,0.0000032289006],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974379,0.00017483336,0.0008542608,0.0008150775,0.0003536687,0.00036424407],"domain_scores_gemma":[0.9979049,0.0002617857,0.00057615543,0.00069808,0.00042113097,0.00013792542],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007031517,0.00034260334,0.00052048155,0.00022439142,0.00016699468,0.00018017381,0.00042855483,0.0002812549,0.000017776862],"category_scores_gemma":[0.00093249406,0.00030883684,0.00010135933,0.0003907076,0.0005891664,0.00026467553,0.00023132973,0.00087625126,0.00000149956],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005717394,0.00018120909,0.007013727,0.00010976035,0.000015526195,0.000010248747,0.000022664508,0.011772994,0.9780927,0.0027075442,0.000014588676,0.0000019008899],"study_design_scores_gemma":[0.0007807947,0.00012961027,0.006647362,0.00009042639,0.000049463713,1.4734505e-7,0.0000041925537,0.8532053,0.13867609,0.00012967747,0.000006356346,0.0002805427],"about_ca_topic_score_codex":0.00019485356,"about_ca_topic_score_gemma":0.000038269656,"teacher_disagreement_score":0.84143233,"about_ca_system_score_codex":0.000181089,"about_ca_system_score_gemma":0.00041626248,"threshold_uncertainty_score":0.9999364},"labels":[],"label_agreement":null},{"id":"W3103190104","doi":"10.1101/2020.11.10.350876","title":"Learning function from structure in neuromorphic networks","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; McGill University; Mila - Quebec Artificial Intelligence Institute; Montreal Neurological Institute and Hospital","funders":"Fonds de recherche du Québec – Nature et technologies; Fonds de Recherche du Québec - Santé; Canada Research Chairs; Canada First Research Excellence Fund; Natural Sciences and Engineering Research Council of Canada; McGill University; Canadian Institute for Advanced Research","keywords":"Neuromorphic engineering; Connectome; Computer science; Artificial intelligence; Connectomics; Reservoir computing; Modular design; Artificial neural network; Network dynamics; Nervous system network models; Computational neuroscience; Machine learning; Neuroscience; Recurrent neural network; Functional connectivity; Types of artificial neural networks; Psychology","score_opus":0.02686065065982299,"score_gpt":0.2033680307526922,"score_spread":0.1765073800928692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3103190104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99123234,0.00014890145,0.002809404,0.0004983388,0.0040349625,0.00055727153,0.00016930807,0.00054273865,0.0000067189394],"genre_scores_gemma":[0.9971132,0.0001817392,0.00016557651,0.0014088354,0.00093213766,0.000046063826,0.000001593227,0.00014692063,0.000003914764],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.996337,0.00043535006,0.0005289248,0.001717189,0.00043438404,0.00054712966],"domain_scores_gemma":[0.9983036,0.00020874359,0.00044793662,0.00071162195,0.00009262329,0.00023545834],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00017423194,0.000581884,0.00054432696,0.00023006173,0.0001962811,0.00034992068,0.00053811906,0.00060804014,0.00010000594],"category_scores_gemma":[0.0007126694,0.00063353725,0.00014009727,0.0008452822,0.000087832545,0.00021017982,0.0005900877,0.0028980153,0.000048786253],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008883795,0.00003772743,0.0052934936,0.00005527494,0.000014078684,0.00015895802,0.000004919426,0.018478543,0.97543025,0.00034684272,0.00008349834,0.000007558863],"study_design_scores_gemma":[0.0013143105,0.0003763793,0.40480223,0.00046158693,0.00015428338,5.5500934e-8,0.0000032517019,0.3796123,0.20600393,0.00012003954,0.005145238,0.0020063852],"about_ca_topic_score_codex":0.000092002905,"about_ca_topic_score_gemma":0.000009260957,"teacher_disagreement_score":0.76942635,"about_ca_system_score_codex":0.00017371566,"about_ca_system_score_gemma":0.00016260799,"threshold_uncertainty_score":0.9996116},"labels":[],"label_agreement":null},{"id":"W3103209381","doi":"10.1101/199364","title":"Spatially segregated responses to visuo-tactile stimuli in mouse neocortex during active sensation","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; Vlaamse regering; KU Leuven; Fonds Wetenschappelijk Onderzoek; Alberta Innovates - Health Solutions; National Science Foundation","keywords":"Whisking in animals; Neuroscience; Somatosensory system; Sensory system; Psychology; Visual cortex; Sensory stimulation therapy; Neocortex; Multisensory integration; Perception; Sensation; Stimulus modality; Stimulation; Visual perception","score_opus":0.02866299256186403,"score_gpt":0.26139394161463336,"score_spread":0.23273094905276934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3103209381","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954101,0.000012039097,0.00027203592,0.00043702172,0.0014681116,0.0015158213,0.0004325543,0.0004314076,0.000020912708],"genre_scores_gemma":[0.99844944,0.00006535219,0.00039784063,0.00030914936,0.00030947494,0.00021956515,5.3949066e-7,0.00015203474,0.00009659715],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9960049,0.00040397697,0.00058844796,0.0017137327,0.0005833433,0.00070562284],"domain_scores_gemma":[0.99684715,0.00024232476,0.0006894022,0.0016070931,0.00029497937,0.00031901873],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040265569,0.0006468223,0.00059743226,0.00073142216,0.00044884338,0.0005830925,0.0007594624,0.00049909187,0.000040148243],"category_scores_gemma":[0.0027884627,0.00071833143,0.00013967295,0.00049230456,0.00011119771,0.00047909998,0.00073955784,0.0010816518,0.00012347056],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059566065,0.00013669422,0.0022432583,0.000117346164,0.000016804837,0.0002471575,0.00002449664,0.0012545991,0.9952606,0.00006958741,0.00002065449,0.00001315026],"study_design_scores_gemma":[0.0005490295,0.0000814929,0.2117871,0.00023878284,0.000020120755,6.07264e-8,0.0000015653324,0.004127186,0.78230685,0.0000028410714,0.0002324327,0.0006525252],"about_ca_topic_score_codex":0.00036071232,"about_ca_topic_score_gemma":0.000058637615,"teacher_disagreement_score":0.21295373,"about_ca_system_score_codex":0.0006552093,"about_ca_system_score_gemma":0.0005129276,"threshold_uncertainty_score":0.9995268},"labels":[],"label_agreement":null},{"id":"W3103506057","doi":"10.21769/bioprotoc.3826","title":"Visual-looming Shadow Task with in-vivo Calcium Activity Monitoring to Assess Defensive Behaviors in Mice","year":2020,"lang":"en","type":"article","venue":"BIO-PROTOCOL","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Cumming School of Medicine, University of Calgary; Alberta Innovates; Fondation Brain Canada","keywords":"Looming; Task (project management); Computer science; Neuroscience; Neural activity; Psychology; Human–computer interaction; Cognitive psychology; Engineering","score_opus":0.09053423167324683,"score_gpt":0.36366863445860526,"score_spread":0.27313440278535844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3103506057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7881375,9.416822e-8,0.00019473885,0.00035680793,0.00010036653,0.21096914,0.000008659171,0.00006262682,0.00017005028],"genre_scores_gemma":[0.6620597,4.700091e-8,0.00010835803,0.00036245372,0.0000822563,0.33732828,2.264016e-7,0.000023450695,0.000035197943],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99819857,0.0001322713,0.00024240038,0.00069624843,0.0003287227,0.00040181502],"domain_scores_gemma":[0.9993804,0.00012140971,0.00011408974,0.00016069923,0.000041108873,0.00018227311],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011893858,0.00023061785,0.00023435026,0.0001514549,0.00010813539,0.000104569655,0.00022123588,0.000089249115,0.00001693035],"category_scores_gemma":[0.00022176212,0.0002038688,0.000043917906,0.0009033027,0.000039579096,0.00030638097,0.0001518801,0.00032495023,0.000023393593],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005296388,0.0001320429,0.04439479,0.00005655123,9.575782e-7,0.00013514992,0.00019258313,0.00014471544,0.95270413,0.00001791525,0.000033446388,0.0016580487],"study_design_scores_gemma":[0.0013270808,0.00062480534,0.04054556,0.00011721297,0.0000044023377,0.000007752499,0.000108307184,0.002684598,0.953098,0.0000069566636,0.0011472963,0.0003280537],"about_ca_topic_score_codex":0.00035466967,"about_ca_topic_score_gemma":0.0001294641,"teacher_disagreement_score":0.12635913,"about_ca_system_score_codex":0.00015107518,"about_ca_system_score_gemma":0.00006685344,"threshold_uncertainty_score":0.83135283},"labels":[],"label_agreement":null},{"id":"W3104585382","doi":"10.1101/031765","title":"Cortical state and natural movie responses in cat visual cortex","year":2015,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Neuroscience; Local field potential; Visual cortex; Cortex (anatomy); Psychology","score_opus":0.022638974282582255,"score_gpt":0.26031280236333143,"score_spread":0.23767382808074916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3104585382","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967535,0.00025447068,0.000046540197,0.0002305026,0.0018321635,0.00055806927,0.00015115557,0.00016745388,0.0000061231185],"genre_scores_gemma":[0.9986715,0.0002496062,0.00019317222,0.00056129706,0.00013973359,0.00006222187,1.9666965e-7,0.00007862647,0.000043696793],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99675876,0.0004295165,0.00051363267,0.0012392013,0.00047732337,0.0005815882],"domain_scores_gemma":[0.9983436,0.00031843074,0.00025351677,0.0005752065,0.00019333596,0.0003159001],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006585175,0.0004721104,0.0004977459,0.00034099247,0.00013263665,0.0002926812,0.00033875974,0.0002894443,0.000013660616],"category_scores_gemma":[0.0017431455,0.0004639437,0.0000715328,0.00046784186,0.00026640104,0.00021159487,0.00064813957,0.0010436466,0.00005110218],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025665658,0.00010381994,0.0051901345,0.0000909214,0.000008560474,0.00029199864,0.000009797552,0.000025482432,0.9936279,0.00030317827,0.000085848726,0.0000057149346],"study_design_scores_gemma":[0.001330839,0.00026778434,0.67560977,0.00031572962,0.000052598014,3.2931013e-7,0.0000044221597,0.038252413,0.28152618,0.00004209115,0.0012095737,0.0013882667],"about_ca_topic_score_codex":0.000057925958,"about_ca_topic_score_gemma":0.000014351708,"teacher_disagreement_score":0.7121017,"about_ca_system_score_codex":0.00028836617,"about_ca_system_score_gemma":0.000534039,"threshold_uncertainty_score":0.99978125},"labels":[],"label_agreement":null},{"id":"W3106077821","doi":"10.1093/cercor/bhaa340","title":"Cortical Processing of Multimodal Sensory Learning in Human Neonates","year":2020,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Mental Health; Centre For Medical Engineering, King’s College London; Engineering and Physical Sciences Research Council; Menzies Centre for Australian Studies, King's College London, University of London; Medical Research Council; Medical Research Council Canada; European Commission; National Institute for Health and Care Research; Horizon 2020 Framework Programme; King's College London; King's College Hospital NHS Foundation Trust; Chalmers Tekniska Högskola; Wellcome Trust","keywords":"Sensory system; Functional magnetic resonance imaging; Neuroscience; Sensory processing; Stimulus modality; Psychology; Crossmodal; Magnetic resonance imaging; Neural substrate; Sensory deprivation; Medicine; Visual perception; Perception; Cognition","score_opus":0.03763943383513766,"score_gpt":0.27404697767861325,"score_spread":0.2364075438434756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3106077821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980094,0.000013825182,0.00015716824,0.00046826954,0.000062063504,0.00010612068,0.0000022744694,0.000076808916,0.0011040744],"genre_scores_gemma":[0.9988603,0.0000031526256,0.000076174736,0.0007942274,0.000056495566,0.0000024184978,0.0000031514023,0.000015001572,0.00018910204],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989907,0.000088471694,0.00023833338,0.00031310436,0.00017214185,0.00019720489],"domain_scores_gemma":[0.9996665,0.000080646634,0.00008932532,0.00006238461,0.000022733762,0.00007839355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000056583405,0.00010007605,0.0001600234,0.000045811594,0.000102672704,0.000026131556,0.00011141516,0.000049274302,0.00006981367],"category_scores_gemma":[0.00037463312,0.00009321575,0.000043913133,0.00024798012,0.00009661373,0.0001365233,0.00006048425,0.00035118315,0.000013910552],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037124595,0.000029383207,0.011218932,0.000033383014,6.7779746e-7,0.000022122631,0.00023920678,0.0003290558,0.9791354,0.0007892145,0.0000094052075,0.008156085],"study_design_scores_gemma":[0.001139842,0.0005457113,0.15573329,0.00006124755,0.000008369962,0.000017340617,0.0002335748,0.5666034,0.27441764,0.0004898589,0.0004194234,0.0003302638],"about_ca_topic_score_codex":0.000023245244,"about_ca_topic_score_gemma":0.000006428705,"teacher_disagreement_score":0.70471776,"about_ca_system_score_codex":0.00001569526,"about_ca_system_score_gemma":0.000023060387,"threshold_uncertainty_score":0.38012278},"labels":[],"label_agreement":null},{"id":"W3106213242","doi":"10.1101/2020.01.13.905257","title":"Regulation of perceptual learning by chronic chemogenetic manipulation of parvalbumin-positive interneurons","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Centre for Research on Brain Language and Music; Montreal Neurological Institute and Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Canadian Institutes of Health Research; Centre for Research on Brain, Language and Music","keywords":"Parvalbumin; Perceptual learning; Neuroscience; Psychology; Perception; Stimulus (psychology); Neuroplasticity; Biology; Cognitive psychology","score_opus":0.02130868836291499,"score_gpt":0.22310420769092398,"score_spread":0.201795519328009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3106213242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948071,0.00010899136,0.0035300583,0.0001501301,0.0005491763,0.000558799,0.00015326396,0.00012813816,0.000014302283],"genre_scores_gemma":[0.9993181,0.00011441145,0.00021387912,0.00006694027,0.00015525857,0.000030037614,0.0000019892755,0.000085441,0.000013898651],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975011,0.00025892037,0.00061576895,0.00090150075,0.00044271746,0.00027998924],"domain_scores_gemma":[0.9982446,0.00012698062,0.00082647864,0.0004783704,0.00020784332,0.00011576235],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017823568,0.00036307616,0.0004692688,0.00016249492,0.00008771708,0.000054549695,0.00035951508,0.00027203656,0.000052166568],"category_scores_gemma":[0.00045009842,0.00041162106,0.00016607542,0.0003989783,0.00017954435,0.0001281182,0.00037505905,0.0006113521,0.00001750756],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004588872,0.00006407812,0.0010490685,0.00028706275,0.000020155097,0.0000038867765,0.000020809099,0.0017703618,0.99622864,0.00044669278,0.00005426548,0.0000090846825],"study_design_scores_gemma":[0.0002618646,0.00023444959,0.07078303,0.00023135837,0.00006621388,2.358101e-8,0.000002167136,0.033374224,0.8945761,0.000004725828,0.0001563254,0.00030957823],"about_ca_topic_score_codex":0.00002808014,"about_ca_topic_score_gemma":9.295457e-7,"teacher_disagreement_score":0.1016526,"about_ca_system_score_codex":0.00021276883,"about_ca_system_score_gemma":0.00018233235,"threshold_uncertainty_score":0.9998336},"labels":[],"label_agreement":null},{"id":"W3106430258","doi":"10.1101/583856","title":"Learning hierarchical sequence representations across human cortex and hippocampus","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institutes of Health; German-Israeli Foundation for Scientific Research and Development; Canadian Institute for Advanced Research","keywords":"Encoding (memory); Sequence (biology); Hippocampus; Sequence learning; Associative property; Hippocampal formation; Identity (music); Computer science; Content-addressable memory; Associative learning; Sensory system; Neuroscience; Artificial intelligence; Psychology; Artificial neural network; Pattern recognition (psychology); Biology; Mathematics","score_opus":0.031036934646329617,"score_gpt":0.2842815861283763,"score_spread":0.25324465148204667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3106430258","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966553,0.00006772732,0.00038850194,0.0002968138,0.001290472,0.0006638177,0.00016578943,0.00043761867,0.000033995366],"genre_scores_gemma":[0.9985128,0.00018607585,0.0003642498,0.0004148265,0.00025087115,0.00009103364,7.4271327e-7,0.000104669925,0.00007474004],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9964008,0.0003354721,0.00048267763,0.001671628,0.0004689901,0.00064046826],"domain_scores_gemma":[0.99788004,0.00028394,0.00041686007,0.0009880534,0.00016629156,0.00026481997],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00044949318,0.000472544,0.00045718014,0.00016276125,0.00068377575,0.00056452065,0.000504902,0.00041204505,0.000027353419],"category_scores_gemma":[0.00084671477,0.0005059846,0.00012637937,0.000411258,0.00038178978,0.00025483608,0.0009542851,0.0017323368,0.00007851096],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016811411,0.000049404054,0.009140854,0.0001518683,0.000014815215,0.000072925584,0.000023125765,0.0003977878,0.98821354,0.0018704248,0.00003933127,0.000009091414],"study_design_scores_gemma":[0.0016677878,0.00047565144,0.50569826,0.00072917744,0.00013298498,7.393636e-7,0.00002303663,0.02791552,0.45673934,0.00028496105,0.0036481398,0.00268443],"about_ca_topic_score_codex":0.000057818706,"about_ca_topic_score_gemma":0.0000031294335,"teacher_disagreement_score":0.53147423,"about_ca_system_score_codex":0.0001487581,"about_ca_system_score_gemma":0.00018988033,"threshold_uncertainty_score":0.99973917},"labels":[],"label_agreement":null},{"id":"W3106576857","doi":"10.1101/2020.12.04.410787","title":"Minimal requirements for a neuron to co-regulate many properties and the implications for ion channel correlations and robustness","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Hospital for Sick Children; University of Toronto","keywords":"Channel (broadcasting); Ion channel; Control theory (sociology); Robustness (evolution); Offset (computer science); Biological system; Computer science; Topology (electrical circuits); Mathematics; Biology; Telecommunications; Combinatorics; Genetics","score_opus":0.07252205806702922,"score_gpt":0.2609698844230531,"score_spread":0.18844782635602386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3106576857","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94243187,0.00010965157,0.03515195,0.0152529515,0.00086200016,0.0052662166,0.0007505918,0.00017227072,0.0000024729395],"genre_scores_gemma":[0.9956819,0.00007694264,0.0007748723,0.000964566,0.00023878207,0.0021719274,8.3576066e-7,0.00007249544,0.000017696255],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981525,0.00008972448,0.00035036713,0.00094492,0.0001436521,0.00031882917],"domain_scores_gemma":[0.9987065,0.00022492265,0.00024685927,0.00046390714,0.00019215173,0.00016564684],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002571324,0.00031188966,0.00031964734,0.00011245199,0.0005822775,0.0003178045,0.00028173262,0.00015030963,8.598714e-7],"category_scores_gemma":[0.0007280217,0.0002506103,0.00008409597,0.00021924298,0.00019491084,0.00014578266,0.00031064483,0.00021587205,0.000001996245],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035319146,0.00003826547,0.00013683413,0.0002892848,0.000018980396,6.5107156e-7,0.000023611452,0.0006125122,0.9907073,0.007509783,0.00030236394,0.0000072413995],"study_design_scores_gemma":[0.0058323983,0.0007746342,0.16640392,0.0006108397,0.00052655634,3.1353224e-7,0.000015211547,0.5155692,0.30102095,0.0003238233,0.0070670675,0.0018551039],"about_ca_topic_score_codex":0.000006863783,"about_ca_topic_score_gemma":0.0000013374836,"teacher_disagreement_score":0.68968636,"about_ca_system_score_codex":0.000053740896,"about_ca_system_score_gemma":0.000096063,"threshold_uncertainty_score":0.99999464},"labels":[],"label_agreement":null},{"id":"W3106825322","doi":"10.1002/cne.25072","title":"Laminar distribution of cortical projection neurons to the pulvinar: A comparative study in cats and mice","year":2020,"lang":"en","type":"article","venue":"The Journal of Comparative Neurology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Université du Québec à Trois-Rivières","funders":"Institute of Neurosciences, Mental Health and Addiction; Natural Sciences and Engineering Research Council of Canada","keywords":"Thalamus; Laminar organization; Biology; Neuroscience; CATS; Visual cortex; Laminar flow; Anatomy; Computer science; Physics","score_opus":0.09074727539684002,"score_gpt":0.33277328276742935,"score_spread":0.24202600737058932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3106825322","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9863667,0.000019581534,0.000534982,0.012174264,0.00023327162,0.00060236885,0.000007838785,0.000005162256,0.000055846584],"genre_scores_gemma":[0.998562,0.000013633344,0.0000031631164,0.0013468876,0.000057107085,0.0000056399426,4.744782e-7,0.000004326245,0.000006796304],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9970974,0.0019327014,0.00042691533,0.0001722888,0.00021728493,0.00015340914],"domain_scores_gemma":[0.99829876,0.0011156459,0.00031806872,0.00010158003,0.00010032317,0.000065591616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039988523,0.000119990764,0.0003335196,0.00005635009,0.0001363167,0.000016948505,0.00026479363,0.000025893121,0.0000026587643],"category_scores_gemma":[0.0002857799,0.000067418216,0.000036878126,0.0004746478,0.00020968317,0.00010532917,0.00010345227,0.0005976333,0.0000039698743],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.018927487,0.0017887267,0.026134843,0.000025507698,0.000057077355,0.00015729788,0.06089728,0.018221816,0.86542124,0.0032432051,0.004639849,0.00048569788],"study_design_scores_gemma":[0.0022287082,0.032902256,0.8768213,0.000015930538,0.00012667422,0.00089191593,0.0040407483,0.058164477,0.02230202,0.00047259632,0.0018221162,0.00021129516],"about_ca_topic_score_codex":0.000015982729,"about_ca_topic_score_gemma":0.00011243,"teacher_disagreement_score":0.85068643,"about_ca_system_score_codex":0.000012954588,"about_ca_system_score_gemma":0.000032698208,"threshold_uncertainty_score":0.2749235},"labels":[],"label_agreement":null},{"id":"W3106872733","doi":"10.1101/2020.11.27.400457","title":"Measuring stimulus-evoked neurophysiological differentiation in distinct populations of neurons in mouse visual cortex","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"Natural Sciences and Engineering Research Council of Canada; Tiny Blue Dot Foundation","keywords":"Neuroscience; Neurophysiology; Stimulus (psychology); Psychology; Excitatory postsynaptic potential; Cognitive psychology; Inhibitory postsynaptic potential","score_opus":0.055597149614319726,"score_gpt":0.2536123655250185,"score_spread":0.19801521591069876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3106872733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973281,0.0000141912415,0.0005861397,0.00017660653,0.00082968065,0.00071317743,0.00016705872,0.0001814629,0.000003597073],"genre_scores_gemma":[0.9994366,0.00003489029,0.00012851122,0.00013336325,0.00010854147,0.00007906933,0.0000012570823,0.00007512505,0.0000026436228],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9966622,0.0004658299,0.0007969357,0.0012086403,0.00043854633,0.0004278428],"domain_scores_gemma":[0.99854016,0.0001785316,0.00048592998,0.00053863187,0.00009974019,0.00015701292],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017443848,0.00044091122,0.00061482366,0.00039212554,0.00009332538,0.00009653443,0.00044737308,0.00027236665,0.000014914166],"category_scores_gemma":[0.0015486301,0.00045783992,0.00014404887,0.0008512006,0.0001104797,0.0001623402,0.0005650315,0.0010039404,0.00001285869],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008664322,0.0003169065,0.027318243,0.0001354389,0.0000040366617,0.000055229564,0.000005508332,0.0021365962,0.96938217,0.000553898,0.0000031566158,0.0000021502144],"study_design_scores_gemma":[0.00041375012,0.00009913681,0.77932703,0.000094441995,0.000016309887,9.8215445e-9,5.7429605e-7,0.07285865,0.14682966,0.000018510698,0.0000060048715,0.00033594202],"about_ca_topic_score_codex":0.000086641885,"about_ca_topic_score_gemma":0.000023592993,"teacher_disagreement_score":0.82255256,"about_ca_system_score_codex":0.00017555608,"about_ca_system_score_gemma":0.00012998733,"threshold_uncertainty_score":0.99978733},"labels":[],"label_agreement":null},{"id":"W3106965085","doi":"10.1016/j.neuroscience.2020.11.019","title":"Differential Plasticity in Auditory and Prefrontal Cortices, and Cognitive-Behavioral Deficits Following Noise-Induced Hearing Loss","year":2020,"lang":"en","type":"article","venue":"Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Auditory cortex; Psychology; Prefrontal cortex; Neuroscience; Neuroplasticity; Hearing loss; Cognition; Stimulus (psychology); Audiology; Medicine; Cognitive psychology","score_opus":0.07325916013700198,"score_gpt":0.29104488347235175,"score_spread":0.21778572333534976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3106965085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981894,0.0000053992744,0.00038134857,0.00014842254,0.0009118188,0.00023971974,0.000012673018,0.000059017173,0.000052198437],"genre_scores_gemma":[0.99911404,0.000010298783,0.000009531259,0.0007615472,0.00006740994,0.000008778853,5.4901824e-7,0.000013698806,0.00001417604],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9982696,0.000081211365,0.00019812355,0.0007803352,0.00032905373,0.00034162993],"domain_scores_gemma":[0.9994866,0.0001692233,0.00007211414,0.000062012645,0.000010586735,0.00019942803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003906648,0.00017112316,0.00018025789,0.00006626735,0.0002504746,0.00016773927,0.00014485438,0.000050434806,0.0000041073454],"category_scores_gemma":[0.00053529604,0.00016449114,0.000032812135,0.00029712945,0.0001885116,0.00046222488,0.00023452127,0.00028849547,0.0000030016395],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058356967,0.000058567915,0.039674725,0.0000131023035,2.333812e-7,0.00011444978,0.00015799106,0.000011253595,0.95840955,0.000042282023,0.0000016802046,0.001457838],"study_design_scores_gemma":[0.0010271207,0.0006651843,0.86998093,0.000049497154,0.000021835212,0.000052230032,0.00005163672,0.053263813,0.07454277,0.000025252953,0.000023799066,0.00029590802],"about_ca_topic_score_codex":0.000036785834,"about_ca_topic_score_gemma":0.000025006155,"teacher_disagreement_score":0.8838667,"about_ca_system_score_codex":0.000017923916,"about_ca_system_score_gemma":0.000029471408,"threshold_uncertainty_score":0.6707754},"labels":[],"label_agreement":null},{"id":"W3106986769","doi":"10.5167/uzh-149374","title":"Neural avalanches at the edge-of-chaos?","year":2016,"lang":"en","type":"article","venue":"Zurich Open Repository and Archive (University of Zurich)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"RIKEN; Universität Zürich; University of Tokushima; Università di Catania; University of California, Santa Barbara; Simon Fraser University; Waseda University; Meiji University; KU Leuven; École Polytechnique Fédérale de Lausanne; University College Cork; Indiana University-Purdue University Indianapolis; Università degli Studi di Ferrara; University of Notre Dame; Keio University; City University of Hong Kong; National Science Foundation","keywords":"Criticality; Edge of chaos; Artificial neural network; Computer science; Critical point (mathematics); Statistical physics; Observable; Computation; CHAOS (operating system); Enhanced Data Rates for GSM Evolution; Artificial intelligence; Self-organized criticality; Physics; Mathematics; Algorithm; Quantum mechanics; Computer security","score_opus":0.019318357762485246,"score_gpt":0.2038393714677855,"score_spread":0.18452101370530025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3106986769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98749316,0.000037162867,0.00077365816,0.0011393657,0.00022864935,0.00024408438,0.000043006847,0.000016813518,0.010024127],"genre_scores_gemma":[0.988257,0.00009497921,0.0001935292,0.00008753245,0.000030705734,4.225771e-7,0.0000014974187,0.000007399319,0.011326968],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988421,0.00039510016,0.000116907235,0.0003291207,0.00016068119,0.00015608786],"domain_scores_gemma":[0.99843293,0.0009904836,0.00019816421,0.000278696,0.000029063252,0.00007063706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023202006,0.00010627204,0.00017545688,0.000055057768,0.000553348,0.000025251635,0.0005380474,0.000032125197,0.00005178957],"category_scores_gemma":[0.00006554431,0.00006967637,0.00007328606,0.00012822082,0.0005267098,0.00031390382,0.0008108119,0.00007951989,0.000011656584],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003829304,0.000060475428,0.0061882706,0.000022982756,0.000013977782,0.00004676214,0.0006215454,0.000008411529,0.97961915,0.0034647123,0.003646031,0.005924734],"study_design_scores_gemma":[0.0048704864,0.0018077154,0.37604573,0.00033145858,0.00023414634,0.000642205,0.0019085448,0.0041024922,0.5322782,0.014877709,0.061786518,0.0011148368],"about_ca_topic_score_codex":0.00011661984,"about_ca_topic_score_gemma":0.00005104439,"teacher_disagreement_score":0.44734102,"about_ca_system_score_codex":0.000016723958,"about_ca_system_score_gemma":0.000022593058,"threshold_uncertainty_score":0.42559612},"labels":[],"label_agreement":null},{"id":"W3107048216","doi":"10.3758/s13423-020-01847-z","title":"Working memory limits severely constrain long-term retention","year":2020,"lang":"en","type":"article","venue":"Psychonomic Bulletin & Review","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":63,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Child Health and Human Development; National Institutes of Health","keywords":"Psychology; Long-term memory; Cognitive psychology; Term (time); Short-term memory; Working memory; Cognition; Neuroscience","score_opus":0.09458341978000553,"score_gpt":0.2831071615825954,"score_spread":0.18852374180258988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3107048216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3817002,0.09935129,0.0028379099,0.37073416,0.013457819,0.0075703724,0.00006770134,0.0015316949,0.12274888],"genre_scores_gemma":[0.78921837,0.10297951,0.00032497168,0.1037799,0.0007466121,0.00009386949,0.00002710886,0.00008405794,0.0027455965],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99803275,0.00023121346,0.00052375376,0.0007308798,0.00017792538,0.00030349748],"domain_scores_gemma":[0.9990706,0.00014068896,0.00028410347,0.0003065253,0.000020041878,0.00017807812],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00032911968,0.00023338986,0.00037878423,0.000033317516,0.00012626535,0.00007448174,0.00030038157,0.000065789405,0.0015136676],"category_scores_gemma":[0.00033846984,0.00021936846,0.00022191742,0.00023529312,0.000085790256,0.000055546923,0.000053975575,0.00030404277,0.0022366373],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019679376,0.00014466005,0.0011645689,0.0031361135,0.00003087869,0.000103825994,0.000069554786,0.000016818876,0.063112974,0.0016052232,0.17949274,0.75092584],"study_design_scores_gemma":[0.0013272117,0.00024495155,0.0045075077,0.0054250252,0.00013243491,0.00023392071,0.0000072993416,0.00037669687,0.0020750868,0.00014441171,0.98466736,0.0008580995],"about_ca_topic_score_codex":0.0000014938206,"about_ca_topic_score_gemma":7.668106e-7,"teacher_disagreement_score":0.8051746,"about_ca_system_score_codex":0.000039239323,"about_ca_system_score_gemma":0.00002186074,"threshold_uncertainty_score":0.99939907},"labels":[],"label_agreement":null},{"id":"W3107189325","doi":"10.7554/elife.61277","title":"Neuronal timescales are functionally dynamic and shaped by cortical microarchitecture","year":2020,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":340,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"School of Medicine, University of California, San Diego; Natural Sciences and Engineering Research Council of Canada; Alexander von Humboldt-Stiftung; National Institute of General Medical Sciences; Whitehall Foundation; Alfred P. Sloan Foundation; National Institutes of Health; National Science Foundation","keywords":"Neuroscience; Working memory; Prefrontal cortex; Cortex (anatomy); Human brain; Biology; Infralimbic cortex; Cognition; Electrophysiology","score_opus":0.016559588933608326,"score_gpt":0.22468417873818722,"score_spread":0.2081245898045789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3107189325","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98422754,0.0000678025,0.0018146638,0.013149724,0.00019007464,0.00012623625,0.00010560392,0.00011546157,0.00020287024],"genre_scores_gemma":[0.9782108,0.000031409178,0.00006244224,0.02108739,0.00009378027,0.0000049233704,0.000016688244,0.00001873638,0.0004738193],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99889386,0.00007119901,0.00014324389,0.00043370755,0.00026774962,0.00019021925],"domain_scores_gemma":[0.9995048,0.00016299012,0.000050347953,0.00008287022,0.000018629018,0.00018035379],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000036740457,0.00013362303,0.00012418204,0.000023107423,0.0001502061,0.000059635146,0.00008888453,0.00005208291,0.00012069409],"category_scores_gemma":[0.0003396879,0.00011535941,0.0000446887,0.00013518633,0.00012004543,0.00006609386,0.00008311737,0.0002904456,0.000090798654],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000900864,0.000029002622,0.0007350942,0.000012034747,0.0000025440172,0.000017971426,0.000028749453,0.000027045424,0.9919815,0.00020091837,0.0055200076,0.0013550649],"study_design_scores_gemma":[0.0027599821,0.0014062192,0.25109982,0.000048111186,0.000076872646,0.00040804173,0.000089691115,0.5103544,0.08795158,0.00069039385,0.1437566,0.001358268],"about_ca_topic_score_codex":0.000001274929,"about_ca_topic_score_gemma":0.0000031405136,"teacher_disagreement_score":0.9040299,"about_ca_system_score_codex":0.000010597469,"about_ca_system_score_gemma":0.00001719048,"threshold_uncertainty_score":0.47042203},"labels":[],"label_agreement":null},{"id":"W3107359506","doi":"10.1101/2020.12.01.406843","title":"Mapping the human auditory cortex using spectrotemporal receptive fields generated with magnetoencephalography","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Centre for Research on Brain, Language and Music; Natural Sciences and Engineering Research Council of Canada; Réseau québécois de recherche sur le vieillissement; McGill University","keywords":"Tonotopy; Magnetoencephalography; Auditory cortex; Receptive field; Neuroscience; Stimulus (psychology); Human brain; Computer science; Psychology; Electroencephalography","score_opus":0.04030648090340896,"score_gpt":0.22997837811680005,"score_spread":0.1896718972133911,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3107359506","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917535,0.00010213342,0.0036796376,0.00066039467,0.0020939852,0.0010868366,0.0001071392,0.00046580852,0.000050537583],"genre_scores_gemma":[0.9958651,0.00006675039,0.0011376414,0.0013189994,0.0013814366,0.00009640407,6.081573e-7,0.00012341035,0.000009663016],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99635786,0.00037720037,0.0005108165,0.001534981,0.0005902616,0.000628856],"domain_scores_gemma":[0.997771,0.00009844907,0.0006425397,0.0010188684,0.00023868533,0.00023041682],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00029911104,0.00066130393,0.0005243161,0.00027491627,0.0007376799,0.00043180745,0.00084089226,0.00039074867,0.00006662695],"category_scores_gemma":[0.00013552669,0.00052091153,0.00019991699,0.00131264,0.0004068026,0.00020236091,0.00048596226,0.0016150391,0.000023602252],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003407835,0.0000513148,0.00084480894,0.000085139065,0.00004686049,0.00014618694,0.000026981375,0.0003677836,0.9974376,0.0006605482,0.0002976403,0.0000010557103],"study_design_scores_gemma":[0.0014953883,0.0008301525,0.12249535,0.0008169032,0.00028434338,6.439844e-7,0.000046689656,0.030073052,0.8358997,0.00012382246,0.004665006,0.0032689162],"about_ca_topic_score_codex":0.00011236004,"about_ca_topic_score_gemma":0.000007550503,"teacher_disagreement_score":0.16153787,"about_ca_system_score_codex":0.00019554807,"about_ca_system_score_gemma":0.00035140006,"threshold_uncertainty_score":0.99972427},"labels":[],"label_agreement":null},{"id":"W3107915682","doi":"10.1016/j.neuroimage.2020.117600","title":"Human attachments shape interbrain synchrony toward efficient performance of social goals","year":2020,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":131,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Psychology; Closeness; Empathy; Rhythm; Social neuroscience; Cognitive psychology; Task (project management); Developmental psychology; Cognition; Neuroscience; Social psychology; Social cognition","score_opus":0.05276294262327928,"score_gpt":0.2949418754032498,"score_spread":0.2421789327799705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3107915682","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99386513,0.000002941811,0.00006250164,0.0017414393,0.00026188183,0.00021865823,0.00003054958,0.000096517055,0.00372038],"genre_scores_gemma":[0.9960034,0.0000028695395,0.000016294622,0.0036101916,0.00011967152,0.000006811097,0.0000038609865,0.00002498504,0.00021193945],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985059,0.00010251442,0.0003025926,0.00047215458,0.0003493572,0.00026751278],"domain_scores_gemma":[0.9995386,0.00004820338,0.00015276232,0.00014495765,0.000027384951,0.000088101326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008506439,0.00016444859,0.00020899429,0.000052859035,0.00017542408,0.000046306253,0.0003326288,0.00004276796,0.0002271912],"category_scores_gemma":[0.00014842975,0.00015570222,0.00010506549,0.0002776684,0.00013389894,0.000121140496,0.00020276415,0.00022495305,0.00010432453],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043561613,0.00007863356,0.0004411589,0.00008729527,0.0000020479513,0.000019832723,0.0003424067,0.00014351393,0.9955254,0.00045392523,0.00084740046,0.0020148125],"study_design_scores_gemma":[0.0015794268,0.0019380586,0.07034141,0.000043286982,0.000031294912,0.000020626041,0.000060525916,0.35049778,0.57037306,0.000034997916,0.004520407,0.0005591141],"about_ca_topic_score_codex":0.0000018569687,"about_ca_topic_score_gemma":1.7357974e-7,"teacher_disagreement_score":0.42515236,"about_ca_system_score_codex":0.000024844281,"about_ca_system_score_gemma":0.000015126035,"threshold_uncertainty_score":0.6349352},"labels":[],"label_agreement":null},{"id":"W3107981383","doi":"10.1371/journal.pbio.3000979","title":"A multi-scale cortical wiring space links cellular architecture and functional dynamics in the human brain","year":2020,"lang":"en","type":"article","venue":"PLoS Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":111,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Institute of Neurosciences, Mental Health and Addiction; Centre Azrieli de recherche sur l'autisme, Institut et Hôpital Neurologiques de Montréal; Canadian Institutes of Health Research; Hospital for Sick Children; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Biology; Neuroscience; Architecture; Scale (ratio); Human brain; Dynamics (music); Cellular architecture; Computational biology; Systems architecture; Applications architecture; Cartography","score_opus":0.046070796386719494,"score_gpt":0.2550572486284358,"score_spread":0.20898645224171633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3107981383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.969901,0.0000140764505,0.00642535,0.023148779,0.00008653099,0.00018524184,0.000017187802,0.000038682483,0.00018310311],"genre_scores_gemma":[0.9922588,0.0000040993546,0.00020735267,0.0073185554,0.00011450054,0.000011538701,0.000019844994,0.000009628654,0.000055709996],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989487,0.00024671227,0.00013848294,0.00037804386,0.00008128339,0.00020678199],"domain_scores_gemma":[0.99938595,0.00040064892,0.000038258055,0.0001086847,0.000008622519,0.000057847046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010164577,0.000109186505,0.00012618449,0.000039885217,0.00014460499,0.00002630793,0.0001279333,0.00013866913,0.000018058243],"category_scores_gemma":[0.00036716505,0.00007516984,0.00003286556,0.00016103983,0.00018636498,0.000027436692,0.00008938409,0.0006792403,0.000010445468],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002508862,0.00005700359,0.008941125,0.000010967454,0.0000021263227,0.000015012474,0.00023713491,0.000056907844,0.9851171,0.0052409996,0.00003158897,0.0002649654],"study_design_scores_gemma":[0.001781651,0.0009915007,0.06318058,0.000023832752,0.000028009892,0.00009959616,0.00038194394,0.8923164,0.03348885,0.004794298,0.002419929,0.00049343513],"about_ca_topic_score_codex":0.000011307991,"about_ca_topic_score_gemma":0.00012175631,"teacher_disagreement_score":0.9516282,"about_ca_system_score_codex":0.000020535643,"about_ca_system_score_gemma":0.000008859705,"threshold_uncertainty_score":0.3065337},"labels":[],"label_agreement":null},{"id":"W3108136783","doi":"10.1101/2020.11.22.393504","title":"A solution to temporal credit assignment using cell-type-specific modulatory signals","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Washington","keywords":"Computer science; Artificial intelligence; Excitatory postsynaptic potential; Learning rule; Neuroscience; Cell type; Inhibitory postsynaptic potential; Artificial neural network; Biology; Cell","score_opus":0.05493364810430992,"score_gpt":0.24368424150268023,"score_spread":0.1887505933983703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108136783","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9576488,0.00022695285,0.03323868,0.0007226567,0.0057592816,0.0015072166,0.00024901275,0.00062959135,0.000017809109],"genre_scores_gemma":[0.9934782,0.00007744263,0.003736452,0.0012514021,0.0011733889,0.00008385181,5.268397e-7,0.000186174,0.000012589654],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99522805,0.0003156576,0.0007249845,0.002035866,0.0009135933,0.0007818577],"domain_scores_gemma":[0.9973329,0.00009842218,0.00053367147,0.0011586578,0.00026733137,0.00060905225],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00047001403,0.00073197176,0.00064221415,0.00035484153,0.00037574014,0.00044047215,0.00075394363,0.00048475567,0.000084098814],"category_scores_gemma":[0.0002789407,0.0008099925,0.00022582154,0.0009682091,0.0001063867,0.00025001194,0.00095140026,0.0009824015,0.00026302628],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006401037,0.00013424103,0.000336081,0.00014478085,0.000015300986,0.00010034962,0.000008675837,0.004827419,0.9927499,0.00022917065,0.0013880313,0.0000020388568],"study_design_scores_gemma":[0.00034386184,0.00018138086,0.0027739995,0.00020635601,0.00005398369,4.3124366e-8,0.0000018347151,0.040541273,0.94601613,0.000012638335,0.0088325795,0.0010359257],"about_ca_topic_score_codex":0.000041057534,"about_ca_topic_score_gemma":6.4922193e-7,"teacher_disagreement_score":0.046733778,"about_ca_system_score_codex":0.00074624346,"about_ca_system_score_gemma":0.0004892731,"threshold_uncertainty_score":0.99943507},"labels":[],"label_agreement":null},{"id":"W3108384311","doi":"10.1162/neco_a_01347","title":"Enhanced Signal Detection by Adaptive Decorrelation of Interspike Intervals","year":2020,"lang":"en","type":"article","venue":"Neural Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Decorrelation; Spike (software development); Mathematics; Neural coding; Independent and identically distributed random variables; Spike train; Algorithm; Statistics; Benchmark (surveying); Computer science; Random variable; Artificial intelligence","score_opus":0.03361330598965593,"score_gpt":0.25737150248511664,"score_spread":0.22375819649546072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108384311","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5929179,0.00000416876,0.40620637,0.00024569762,0.00023690051,0.00014857462,0.000009409037,0.000060352428,0.00017062385],"genre_scores_gemma":[0.99891895,0.0000016665612,0.00012080954,0.00084956316,0.00005426312,0.0000064708365,0.00001616699,0.00001283976,0.000019247042],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99896127,0.00013725963,0.00027563536,0.0003062589,0.00020476071,0.0001148393],"domain_scores_gemma":[0.999428,0.00017972886,0.00022201124,0.00004692641,0.00006508378,0.000058283764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004699386,0.000111816,0.00013182871,0.00005379624,0.00006607289,0.000027583032,0.00008643503,0.000047099915,0.000030141797],"category_scores_gemma":[0.00014576627,0.00010961964,0.00006798151,0.0002949311,0.00004027097,0.00031303772,0.00003524022,0.00014704837,0.000037483485],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017800763,0.000019232577,0.000010639077,0.000009589429,0.0000020293594,7.807468e-7,0.0002301294,0.010906596,0.9134043,0.000059646776,0.00011770447,0.07506133],"study_design_scores_gemma":[0.00019935527,0.00052649586,0.0002313268,0.000005806544,0.000004970613,0.0000019985287,0.000027561382,0.5380711,0.46068236,0.00017048682,0.000016690927,0.00006184909],"about_ca_topic_score_codex":0.000011047713,"about_ca_topic_score_gemma":0.0000030660603,"teacher_disagreement_score":0.5271645,"about_ca_system_score_codex":0.000033038195,"about_ca_system_score_gemma":0.0000062681456,"threshold_uncertainty_score":0.44701594},"labels":[],"label_agreement":null},{"id":"W3108981297","doi":"10.1098/rspa.2021.0068","title":"Inductive biases for deep learning of higher-level cognition","year":2022,"lang":"en","type":"article","venue":"Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":268,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Exploit; Heuristics; Human intelligence; Generalization; Computer science; Artificial intelligence; Inductive bias; Cognitive science; Cognition; Animal cognition; Machine learning; Cognitive psychology; Task (project management); Psychology; Multi-task learning; Epistemology","score_opus":0.03973156424526133,"score_gpt":0.24887930728623586,"score_spread":0.20914774304097453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108981297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99855155,0.0000069882954,0.00073147076,0.00019745703,0.00006110202,0.00014581624,0.000008645523,0.00002265174,0.00027432584],"genre_scores_gemma":[0.99880004,0.0000011407196,0.0009770172,0.000032925294,0.000035862824,0.00003728621,1.6980354e-7,0.0000055167834,0.00011001962],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992944,0.0000043607283,0.00011665797,0.00017242417,0.0002786664,0.00013346128],"domain_scores_gemma":[0.9994096,0.00041654086,0.00009558077,0.000020440439,0.00003238339,0.000025418076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018100457,0.00007450262,0.00013737446,0.00001412963,0.00031620328,0.000022363522,0.00017205608,0.000014974862,0.0000054990273],"category_scores_gemma":[0.00035769658,0.000049607763,0.00012227797,0.00028177892,0.00023757265,0.000088423716,0.00015851675,0.00013457719,1.5011801e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016280826,0.00021610908,0.000058842983,0.00040757895,0.000012919181,3.0430837e-8,0.0012215185,0.013416524,0.77818286,0.20569547,0.000058175716,0.00071368844],"study_design_scores_gemma":[0.00014350073,0.00029637702,0.00053988496,0.00004738104,0.000025622578,0.0000015782724,0.0005204282,0.8792239,0.071703374,0.047360525,0.00004040098,0.00009701285],"about_ca_topic_score_codex":0.0000013197083,"about_ca_topic_score_gemma":6.5240036e-9,"teacher_disagreement_score":0.8658074,"about_ca_system_score_codex":0.00001114004,"about_ca_system_score_gemma":0.0000051372767,"threshold_uncertainty_score":0.2432012},"labels":[],"label_agreement":null},{"id":"W3109713338","doi":"10.1038/s41467-020-19772-z","title":"Distinct prefrontal top-down circuits differentially modulate sensorimotor behavior","year":2020,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Eye Institute; National Institute of Mental Health; Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Neuroscience; Superior colliculus; Sensory system; Optogenetics; Midbrain; Superior Colliculi; Prefrontal cortex; Sensory cue; Visual cortex; Sensory processing; Psychology; Visual system; Cognition; Central nervous system","score_opus":0.042740145271409,"score_gpt":0.2864763090897395,"score_spread":0.24373616381833046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109713338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9832084,0.0001720171,0.00033377434,0.0099246735,0.0006367784,0.00061701966,0.00022530524,0.00030250158,0.004579495],"genre_scores_gemma":[0.99724746,0.00006603267,0.00025651723,0.0018582825,0.000114945804,0.00005595926,0.00008853114,0.00002476341,0.00028749296],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99882984,0.00016262927,0.00021420587,0.0003571412,0.0002354269,0.00020075259],"domain_scores_gemma":[0.998459,0.00019245861,0.00010201459,0.0010455011,0.000058014677,0.00014304816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000043863365,0.00015704359,0.00014825846,0.000039717943,0.00040470116,0.00009097672,0.001037641,0.0001722921,0.000059960894],"category_scores_gemma":[0.0004516566,0.00014346493,0.000100913436,0.00028317698,0.0001151358,0.00015631532,0.00042223372,0.00094427937,0.00007732148],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001723574,0.00025945564,0.0042163976,0.000011237051,0.00000780136,0.00000945295,0.00019787384,0.00000783007,0.97431123,0.010584536,0.001012964,0.009363992],"study_design_scores_gemma":[0.0017129843,0.00045928432,0.7619802,0.000046142683,0.00023778887,0.000091498514,0.00006816192,0.06350123,0.066654816,0.00088950596,0.103074424,0.0012840146],"about_ca_topic_score_codex":0.000008435108,"about_ca_topic_score_gemma":0.0000563811,"teacher_disagreement_score":0.90765643,"about_ca_system_score_codex":0.000042826647,"about_ca_system_score_gemma":0.000028211103,"threshold_uncertainty_score":0.585033},"labels":[],"label_agreement":null},{"id":"W3110415087","doi":"10.51628/001c.27664","title":"Comparing representational geometries using whitened unbiased-distance-matrix similarity","year":2021,"lang":"en","type":"preprint","venue":"Neurons Behavior Data analysis and Theory","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Canada First Research Excellence Fund; Deutsche Forschungsgemeinschaft","keywords":"Mahalanobis distance; Mathematics; Distance matrices in phylogeny; Estimator; Pattern recognition (psychology); Similarity (geometry); Euclidean distance; Pairwise comparison; Statistics; Covariance matrix; Artificial intelligence; Algorithm; Computer science","score_opus":0.15476827691898024,"score_gpt":0.3681209535015197,"score_spread":0.21335267658253945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110415087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96610975,0.00023997041,0.029857894,0.00008208319,0.0005874537,0.00030112665,0.002643066,0.00008603417,0.000092596645],"genre_scores_gemma":[0.9943046,0.0003208767,0.00064249814,0.00021044655,0.000096750824,0.000022340602,0.004182872,0.000038923845,0.00018066561],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9954677,0.0006901605,0.00064936554,0.0021613443,0.0006567758,0.00037461583],"domain_scores_gemma":[0.9960523,0.0006904607,0.00047863612,0.0024880157,0.0001181712,0.0001723844],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00071756716,0.00042991384,0.000836031,0.00077306974,0.0005330104,0.000941097,0.0009854047,0.0002006777,0.00021850488],"category_scores_gemma":[0.0009113482,0.0004317086,0.00033137033,0.0016944365,0.0003268765,0.0005035601,0.003550863,0.00084911566,0.000002075435],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043806096,0.0016901739,0.6785501,0.0003748396,0.0011939678,0.0013682677,0.00029938825,0.044088505,0.25192437,0.011306527,0.00021106997,0.00855473],"study_design_scores_gemma":[0.0010195352,0.00007223715,0.42241046,0.0001370007,0.018613316,0.00012972858,0.00046800275,0.54031706,0.010408813,0.0040433398,0.0004472703,0.0019332443],"about_ca_topic_score_codex":0.00029572926,"about_ca_topic_score_gemma":0.00034528642,"teacher_disagreement_score":0.49622855,"about_ca_system_score_codex":0.00006174195,"about_ca_system_score_gemma":0.00012396126,"threshold_uncertainty_score":0.9998135},"labels":[],"label_agreement":null},{"id":"W3110619833","doi":"10.1007/978-3-030-54092-0_10","title":"Behavior Considered as an Enabling Constraint","year":2020,"lang":"en","type":"book-chapter","venue":"Studies in brain and mind","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Constraint (computer-aided design); Computer science; Cognitive science; Scale (ratio); Artificial neural network; Artificial intelligence; Frame (networking); Neuroscience; Psychology; Mathematics; Physics","score_opus":0.12940579705801736,"score_gpt":0.33817052546017995,"score_spread":0.2087647284021626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110619833","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27751884,0.003276914,0.000011425308,0.011940037,0.004217154,0.0028582027,0.00048079065,0.00017435037,0.69952226],"genre_scores_gemma":[0.7508338,0.0034552386,0.0002022325,0.011343272,0.00055083696,0.000075044125,0.00003802856,0.00012793002,0.2333736],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99846125,0.00004322052,0.0002954612,0.00077062636,0.0002002264,0.00022922305],"domain_scores_gemma":[0.9989896,0.00053589017,0.0001392707,0.00018708312,0.000037064165,0.00011108476],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014485152,0.00032093422,0.0004448096,0.00013158662,0.0001685589,0.00005290088,0.0001123555,0.00016863151,0.000117164884],"category_scores_gemma":[0.0007016204,0.0002957107,0.000066810324,0.000041180483,0.00084027636,0.000085132924,0.00019613202,0.0004250807,0.000038397808],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002853584,0.00014555827,0.00006834578,0.00033438054,0.0001576271,0.0061896592,0.0063424977,0.0000042842016,0.10560977,0.6673702,0.0061553135,0.20733704],"study_design_scores_gemma":[0.0046467385,0.0030128495,0.00020026775,0.0013008097,0.00041092804,0.0017080741,0.0061979243,0.00034243488,0.009210921,0.20630465,0.7630823,0.0035820517],"about_ca_topic_score_codex":0.0000045470892,"about_ca_topic_score_gemma":0.00006847418,"teacher_disagreement_score":0.756927,"about_ca_system_score_codex":0.000046496803,"about_ca_system_score_gemma":0.000053874675,"threshold_uncertainty_score":0.9999495},"labels":[],"label_agreement":null},{"id":"W3111191223","doi":"10.1080/17588928.2020.1838467","title":"Predictive processing as an empirical theory <i>for</i> consciousness science","year":2020,"lang":"en","type":"letter","venue":"Cognitive Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Dr Mortimer and Theresa Sackler Foundation; Canadian Institute for Advanced Research","keywords":"Consciousness; Psychology; Phenomenon; Electromagnetic theories of consciousness; Cognitive science; Mechanism (biology); Perspective (graphical); Epistemology; Cognitive psychology; Neuroscience; Philosophy; Artificial intelligence; Computer science","score_opus":0.05752807427679464,"score_gpt":0.33134295940794806,"score_spread":0.27381488513115343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111191223","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09883513,0.00011803899,0.085019395,0.7597034,0.016881319,0.010731954,0.0037131037,0.002945506,0.022052148],"genre_scores_gemma":[0.31674877,0.000016672404,0.000034912347,0.6808585,0.0012631125,0.00019531303,0.0000350489,0.00008670282,0.00076095323],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9918712,0.0005748521,0.00050852826,0.0038001167,0.001875098,0.0013702316],"domain_scores_gemma":[0.99609417,0.001779888,0.00050742936,0.00047851162,0.00069650623,0.0004434751],"candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication"],"consensus_categories":["sts"],"category_scores_codex":[0.0006558664,0.0007180539,0.00057135924,0.00045622172,0.0022350533,0.0011419834,0.0020381135,0.0003344351,0.000017699924],"category_scores_gemma":[0.013715996,0.00064368045,0.00019136732,0.0025252067,0.0074057225,0.0017893921,0.0005262853,0.0022105929,0.00007433082],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009966621,0.0003984111,0.00015476064,0.000451424,0.0000052127493,0.0026589993,0.0013682783,0.000020892274,0.86724144,0.0013454207,0.0973187,0.028039798],"study_design_scores_gemma":[0.003500484,0.011364625,0.0011831329,0.001092034,0.00050666375,0.0020151748,0.0006921649,0.1398251,0.3274829,0.081209734,0.4253608,0.0057671894],"about_ca_topic_score_codex":0.000002299355,"about_ca_topic_score_gemma":5.679661e-7,"teacher_disagreement_score":0.53975856,"about_ca_system_score_codex":0.00013398111,"about_ca_system_score_gemma":0.0017317017,"threshold_uncertainty_score":0.9998949},"labels":[],"label_agreement":null},{"id":"W3112333025","doi":"10.21203/rs.3.rs-118321/v1","title":"The Interplay Between Information Flux and Temporal Dynamics in Infraslow Frequencies","year":2020,"lang":"en","type":"preprint","venue":"Research Square","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Ottawa","funders":"Canadian Institutes of Health Research; European Commission","keywords":"Dynamics (music); Flux (metallurgy); Psychology; Statistical physics; Neuroscience; Cognitive science; Physics; Computer science; Acoustics; Chemistry","score_opus":0.06387763289391768,"score_gpt":0.37058645975436594,"score_spread":0.30670882686044826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112333025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9786426,0.00008379583,0.00055128196,0.012855554,0.0004958146,0.0016204014,0.0004708435,0.00011232584,0.005167428],"genre_scores_gemma":[0.99877703,0.00029383428,0.00003851049,0.0001456914,0.00011268317,0.00009721925,0.00026218762,0.000017256762,0.0002555668],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99724996,0.00054840924,0.0004264502,0.00042031283,0.000879456,0.00047539172],"domain_scores_gemma":[0.9978944,0.001297277,0.00012868474,0.00039476133,0.00014760124,0.00013727939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012123554,0.00019987026,0.00022889022,0.00033573067,0.00039380853,0.000817949,0.0006014526,0.00022754792,0.000012551212],"category_scores_gemma":[0.0030989598,0.00014665874,0.00006526507,0.0005515575,0.00036128404,0.00042842835,0.0016122456,0.0022254186,0.00005818778],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073795655,0.00016191856,0.5148562,0.005242381,0.000075524,0.00023951754,0.007931636,0.0009324152,0.01044774,0.12715527,0.017643627,0.31457582],"study_design_scores_gemma":[0.0012559439,0.0011668898,0.19279708,0.0015131641,0.000018150906,0.000023679968,0.0048395507,0.57070154,0.0037814856,0.18589228,0.03674739,0.0012628156],"about_ca_topic_score_codex":0.00046443593,"about_ca_topic_score_gemma":0.00069120224,"teacher_disagreement_score":0.56976914,"about_ca_system_score_codex":0.0004848137,"about_ca_system_score_gemma":0.00022779878,"threshold_uncertainty_score":0.96684605},"labels":[],"label_agreement":null},{"id":"W3112443316","doi":"10.1007/s00422-020-00848-4","title":"On the rate coding response of peripheral sensory neurons","year":2020,"lang":"en","type":"article","venue":"Biological Cybernetics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sensory system; Neurophysiology; Bayesian probability; Coding (social sciences); Stimulus modality; Neural coding; Information theory; Limit (mathematics); Peripheral","score_opus":0.10600826465189116,"score_gpt":0.268469799908612,"score_spread":0.1624615352567208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112443316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9908711,0.00000517816,0.00010157301,0.007877487,0.00012969387,0.00012956366,0.000021708755,0.00004348169,0.00082027115],"genre_scores_gemma":[0.9884049,0.00003792649,0.000019785297,0.011203146,0.000046159053,0.0000030035824,7.4670174e-7,0.000006453226,0.000277871],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99870896,0.00064064306,0.0001493578,0.00024692243,0.00010383486,0.0001502564],"domain_scores_gemma":[0.9978012,0.0019272075,0.00006645523,0.00012879717,0.00001582459,0.000060552666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001896416,0.000095361815,0.00010767098,0.000010514399,0.000083031635,0.000019848962,0.00018567739,0.000054994493,0.00011419857],"category_scores_gemma":[0.004004968,0.000051537907,0.00006235984,0.00014013794,0.00019213778,0.000013196173,0.00007618891,0.00018017174,0.000037354468],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059751415,0.000022623766,0.00014343504,0.000001482713,9.208558e-7,0.000012464638,0.000053302487,0.00012975131,0.96938384,0.029134637,0.0003415343,0.00017847896],"study_design_scores_gemma":[0.00081741705,0.0064035608,0.066293776,0.000023172734,0.000015168747,0.000023475592,0.00012554029,0.082955115,0.8211899,0.006027863,0.015605464,0.0005195356],"about_ca_topic_score_codex":8.98471e-7,"about_ca_topic_score_gemma":9.002669e-8,"teacher_disagreement_score":0.14819394,"about_ca_system_score_codex":0.000008843965,"about_ca_system_score_gemma":0.000009152193,"threshold_uncertainty_score":0.47946095},"labels":[],"label_agreement":null},{"id":"W3112457179","doi":"10.1101/2020.12.17.423254","title":"Motor planning brings human primary somatosensory cortex into action-specific preparatory states","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"","keywords":"Primary motor cortex; Somatosensory system; Neuroscience; Functional magnetic resonance imaging; Motor control; Psychology; Sensory system; Motor cortex; Motor system; Neuroimaging; Computer science","score_opus":0.03931424291083222,"score_gpt":0.25768771625460024,"score_spread":0.21837347334376803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112457179","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930195,0.00045587547,0.00069516886,0.0002600191,0.00272118,0.0011195387,0.00023058076,0.001444582,0.00005351712],"genre_scores_gemma":[0.99590313,0.000394577,0.0007750538,0.0014655147,0.0009358412,0.0002117161,0.000002300052,0.00027676113,0.000035077745],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9946682,0.00030668828,0.0009285974,0.0024322395,0.000850607,0.0008136846],"domain_scores_gemma":[0.99673194,0.00023068326,0.00086747424,0.0014102986,0.00024539017,0.00051424175],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00035031946,0.0009340086,0.0008577108,0.0004055766,0.0007104665,0.0006555192,0.00096215325,0.0005766855,0.000056069817],"category_scores_gemma":[0.00021516136,0.0010599148,0.00030586438,0.0005836423,0.00030650714,0.0004770399,0.00096406933,0.0016604488,0.00022551247],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000096288546,0.0001312086,0.0010761601,0.000598158,0.000046370817,0.00024394385,0.000041937932,0.00018935002,0.9952597,0.0007265817,0.0015863486,0.0000039364777],"study_design_scores_gemma":[0.00085645646,0.00025760356,0.1252859,0.00061472936,0.000095631665,2.5439118e-7,0.000013273044,0.0033816122,0.8401699,0.000082699305,0.027140284,0.002101639],"about_ca_topic_score_codex":0.000039236416,"about_ca_topic_score_gemma":0.000001075327,"teacher_disagreement_score":0.1550898,"about_ca_system_score_codex":0.0006414095,"about_ca_system_score_gemma":0.0003762152,"threshold_uncertainty_score":0.9991851},"labels":[],"label_agreement":null},{"id":"W3112687648","doi":"10.1101/2020.12.17.423201","title":"A unified theory of E/I synaptic balance, quasicritical neuronal avalanches and asynchronous irregular spiking","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Asynchronous communication; Balance (ability); Neuroscience; Adaptation (eye); Homeostatic plasticity; Detailed balance; Computer science; Physics; Statistical physics; Synaptic plasticity; Psychology; Biology; Telecommunications","score_opus":0.021738559324787944,"score_gpt":0.21921565366849532,"score_spread":0.1974770943437074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112687648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99271446,0.00028889292,0.0042367764,0.0005941459,0.0011155152,0.00054463645,0.0001883111,0.00029107725,0.000026162705],"genre_scores_gemma":[0.9978381,0.00016652558,0.0008563919,0.0006911543,0.0002929949,0.000048214188,2.4645635e-7,0.00010405147,0.0000023255998],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9967487,0.0003913526,0.0005571843,0.0013220353,0.0004677086,0.0005130224],"domain_scores_gemma":[0.9979945,0.00048390802,0.00033601647,0.000758314,0.00014309549,0.0002841898],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00044757692,0.0005185069,0.0006849745,0.00019021577,0.00015622402,0.00017298656,0.0005070967,0.00034148514,0.000026254602],"category_scores_gemma":[0.0013266057,0.00053501007,0.00015510984,0.00038573227,0.000474171,0.00014511176,0.00066268427,0.0009023471,0.000018706405],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008609225,0.00009796381,0.0009847527,0.00057771313,0.000039212548,0.000111335925,0.000008430991,0.000033129832,0.950736,0.047296103,0.000021911887,0.000007374496],"study_design_scores_gemma":[0.0010314981,0.0004393109,0.08003792,0.0007449392,0.00028268993,4.866712e-7,0.0000068820814,0.021718107,0.8929392,0.00077034265,0.0005959277,0.0014326676],"about_ca_topic_score_codex":0.0000065926047,"about_ca_topic_score_gemma":3.036724e-7,"teacher_disagreement_score":0.07905317,"about_ca_system_score_codex":0.00008676265,"about_ca_system_score_gemma":0.00027583816,"threshold_uncertainty_score":0.99971014},"labels":[],"label_agreement":null},{"id":"W3112973769","doi":"10.1101/2020.12.11.421180","title":"Temporal scaling of human scalp-recorded potentials","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; National Alliance for Research on Schizophrenia and Depression; Wellcome Trust; Royal Society; Wellcome; National Institute for Health and Care Research; Brain and Behavior Research Foundation","keywords":"Electroencephalography; Computer science; Scaling; Scalp; Interval (graph theory); Time perception; Duration (music); Pattern recognition (psychology); Artificial intelligence; Cognition; Psychology; Mathematics; Neuroscience; Biology; Physics","score_opus":0.035041086169407897,"score_gpt":0.24840101035909914,"score_spread":0.21335992418969124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112973769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943613,0.00007233806,0.0014378058,0.00048424857,0.0021591233,0.00072046084,0.00029116106,0.00044480435,0.000028793891],"genre_scores_gemma":[0.9977336,0.00005347854,0.0010109312,0.00050325104,0.0004979497,0.000054878215,5.5670426e-7,0.00013657383,0.00000879512],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99628603,0.00026684155,0.0008901874,0.001421674,0.0006176661,0.00051761913],"domain_scores_gemma":[0.9974538,0.0001027442,0.00087107084,0.0010264613,0.00024686518,0.00029906217],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042775986,0.00055710477,0.00079142756,0.00028072525,0.00025159874,0.00022259266,0.0008334409,0.00043546033,0.00007880056],"category_scores_gemma":[0.00065109803,0.00059013657,0.0003185273,0.0006465571,0.00021112377,0.00017665092,0.00081049843,0.0008680644,0.00006233487],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030937,0.000108985645,0.0013243054,0.00033808823,0.000025861778,0.000053195425,0.000004190939,0.000069167065,0.99620503,0.0016679048,0.00016914356,0.000003212516],"study_design_scores_gemma":[0.00040987536,0.000109015105,0.014378791,0.00028875913,0.00007745616,1.9447036e-8,0.0000012133131,0.0026957989,0.9807431,0.00005010812,0.0005893927,0.000656439],"about_ca_topic_score_codex":0.00009237185,"about_ca_topic_score_gemma":0.0000018852561,"teacher_disagreement_score":0.015461876,"about_ca_system_score_codex":0.00011680059,"about_ca_system_score_gemma":0.0002497971,"threshold_uncertainty_score":0.999655},"labels":[],"label_agreement":null},{"id":"W3113214305","doi":"10.3389/fncir.2020.629162","title":"Corrigendum: A Probabilistic Framework for Decoding Behavior From in vivo Calcium Imaging Data","year":2020,"lang":"en","type":"erratum","venue":"Frontiers in Neural Circuits","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"","keywords":"Decoding methods; Probabilistic logic; Neuroscience; Biological neural network; Calcium imaging; Computer science; Neural decoding; In vivo; Psychology; Artificial intelligence; Calcium; Medicine; Biology; Telecommunications; Internal medicine","score_opus":0.10523535211208261,"score_gpt":0.31110889542055686,"score_spread":0.20587354330847424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113214305","genre_codex":"editorial","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01777028,0.004034471,0.11834454,0.0037416907,0.8203568,0.012572077,0.019088605,0.0008601158,0.003231419],"genre_scores_gemma":[0.8834081,0.0012761196,0.015039654,0.019896677,0.01899502,0.0040290854,0.013310378,0.001878792,0.04216617],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9947396,0.00025182712,0.0009131412,0.002529681,0.0005831311,0.0009826258],"domain_scores_gemma":[0.9975482,0.00045594596,0.0004584054,0.0012648292,0.000046228593,0.00022634825],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00024174646,0.00068619574,0.0009998953,0.00045603688,0.0001908552,0.00030010866,0.0020863744,0.0005879444,0.0000503461],"category_scores_gemma":[0.0038855008,0.000737567,0.00018264716,0.00088185037,0.00016646214,0.00055895577,0.00056589756,0.0025267205,0.000008320979],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009742204,0.00018472504,0.009529809,0.00030998889,0.0000111291865,0.00077537965,0.0002391672,0.00005594446,0.0076916725,0.00027341416,0.95357794,0.027253382],"study_design_scores_gemma":[0.0018963959,0.00020345568,0.0047729677,0.0012862508,0.00028832757,0.000050949027,0.00020510438,0.8378318,0.00072558405,0.022795113,0.1275602,0.002383888],"about_ca_topic_score_codex":0.0001686922,"about_ca_topic_score_gemma":0.00017021658,"teacher_disagreement_score":0.86563784,"about_ca_system_score_codex":0.00043835174,"about_ca_system_score_gemma":0.00024418533,"threshold_uncertainty_score":0.9997745},"labels":[],"label_agreement":null},{"id":"W3113280510","doi":"10.1098/rstb.2019.0692","title":"Out of the blue: understanding abrupt and wayward transitions in thought using probability and predictive processing","year":2020,"lang":"en","type":"article","venue":"Philosophical Transactions of the Royal Society B Biological Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Institute of Neurosciences, Mental Health and Addiction; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Surprise; Phenomenology (philosophy); Perception; Feeling; Psychology; Transition (genetics); Cognitive psychology; Probabilistic logic; Phenomenon; Epistemology; Cognitive science; Social psychology; Philosophy","score_opus":0.19310655566401275,"score_gpt":0.2960049135232563,"score_spread":0.10289835785924356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113280510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93519104,0.00005122665,0.033530623,0.030601664,0.00008759352,0.00036731697,0.000054305234,0.000017970928,0.00009824162],"genre_scores_gemma":[0.99909174,0.000027843087,0.00045481944,0.0003907443,0.000025283185,0.0000051591574,1.2712619e-7,0.000002655732,0.0000016111268],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987827,0.00019704281,0.0002404377,0.00037192035,0.00024258187,0.00016534563],"domain_scores_gemma":[0.99953616,0.00021208453,0.00009853796,0.000076001066,0.000018829815,0.0000583967],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00031229033,0.00010585135,0.00017417337,0.0000105734625,0.00062548905,0.000026846239,0.00024517684,0.00009572111,0.000006222505],"category_scores_gemma":[0.00017064676,0.00005232025,0.00014972065,0.00057621393,0.0028163372,0.00010932357,0.000045698867,0.00029053586,4.9029705e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048549898,0.0011404746,0.038223445,0.00062980026,0.00005800416,0.0000015167758,0.014105507,0.1225751,0.75631744,0.062208675,0.000007125556,0.004247454],"study_design_scores_gemma":[0.0004822695,0.0005520367,0.013709851,0.00013266449,0.000057665955,0.000005801497,0.0012544534,0.7947334,0.012532488,0.17631142,0.0000083448085,0.00021961186],"about_ca_topic_score_codex":0.000008579677,"about_ca_topic_score_gemma":0.0000037182729,"teacher_disagreement_score":0.7437849,"about_ca_system_score_codex":0.000037983682,"about_ca_system_score_gemma":0.000038118458,"threshold_uncertainty_score":0.9998974},"labels":[],"label_agreement":null},{"id":"W3113515060","doi":"10.1002/cjs.11589","title":"A grouped beta process model for multivariate resting‐state EEG microstate analysis on twins","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute on Drug Abuse; National Institute on Alcohol Abuse and Alcoholism","keywords":"Ministate; Hidden Markov model; Autoregressive model; Pattern recognition (psychology); Artificial intelligence; Markov chain; Resting state fMRI; Computer science; Bayesian probability; Electroencephalography; Mathematics; Psychology; Machine learning; Statistics; Neuroscience","score_opus":0.044309396391300306,"score_gpt":0.28068689380329015,"score_spread":0.23637749741198985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113515060","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4662208,0.000021892809,0.52690756,0.00082662463,0.0005717152,0.00018937052,0.005110151,0.000009517965,0.00014232995],"genre_scores_gemma":[0.9863329,0.000018008892,0.011251018,0.001196253,0.000047823345,0.0000034446239,0.000039402683,0.000028258191,0.0010828931],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986071,0.000069803755,0.00045660348,0.00026777235,0.00021665113,0.00038208044],"domain_scores_gemma":[0.9980478,0.00041153963,0.00035907188,0.00016005672,0.00053773785,0.00048378235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002160387,0.00015146047,0.00029235648,0.0003663787,0.00026988727,0.00017158937,0.0001901412,0.000041126394,0.000020916297],"category_scores_gemma":[0.0015745928,0.00014324776,0.00012252857,0.0006401542,0.00007428149,0.00012248961,0.000009014772,0.00023982635,0.0000030642448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004709995,0.00019592822,0.0025207791,0.00025015374,0.00048887153,0.004257731,0.0041774493,0.7792366,0.16232114,0.025576126,0.00594383,0.014560355],"study_design_scores_gemma":[0.0008512484,0.00023479409,0.0026844032,0.0000511673,0.0003282473,0.00008977455,0.000064630316,0.9694598,0.0074553154,0.017863773,0.00065845187,0.0002584455],"about_ca_topic_score_codex":0.00041758278,"about_ca_topic_score_gemma":0.016056664,"teacher_disagreement_score":0.5201121,"about_ca_system_score_codex":0.00013004812,"about_ca_system_score_gemma":0.0011576682,"threshold_uncertainty_score":0.89599955},"labels":[],"label_agreement":null},{"id":"W3114780610","doi":"10.33735/phimisci.2020.ii.60","title":"Explanation in the science of consciousness: From the neural correlates of consciousness (NCCs) to the difference makers of consciousness (DMCs)","year":2020,"lang":"en","type":"article","venue":"Philosophy and the Mind Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Advanced Research","keywords":"Consciousness; Neural correlates of consciousness; Metaphysics; Epistemology; Neutrality; Psychology; Cognitive science; Sociology; Philosophy; Cognition; Neuroscience","score_opus":0.050530888527896736,"score_gpt":0.2596863920358296,"score_spread":0.20915550350793288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3114780610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9562835,0.0001854022,0.00008020871,0.04162651,0.00040827348,0.0006421612,0.000089040375,0.0000067696947,0.000678109],"genre_scores_gemma":[0.9979316,0.000059635113,0.000014563919,0.0018988189,0.00006309234,0.000021785212,0.0000010822806,0.0000047810126,0.0000046197015],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99728376,0.0005015041,0.0004984549,0.00051377603,0.00092727935,0.00027525792],"domain_scores_gemma":[0.99495053,0.0041025635,0.00041224938,0.00035949558,0.000113600574,0.000061534214],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0016048475,0.00018407377,0.00031758536,0.000090457506,0.0007689305,0.00013162874,0.0018891486,0.000040482748,0.000011319206],"category_scores_gemma":[0.001599786,0.00007552505,0.00007876996,0.002027091,0.009158586,0.0002336393,0.0002673458,0.00023660949,0.0000027091162],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015151417,0.0003456087,0.053247854,0.0001156132,0.000033928318,0.00001896122,0.07929035,0.005028155,0.36737555,0.48117563,0.00013463608,0.011718564],"study_design_scores_gemma":[0.005690083,0.0019960557,0.10456415,0.00055967644,0.000248782,0.00012752962,0.035679255,0.27611223,0.22941671,0.34433284,0.0001561707,0.0011165022],"about_ca_topic_score_codex":0.00030915067,"about_ca_topic_score_gemma":0.00015908557,"teacher_disagreement_score":0.27108407,"about_ca_system_score_codex":0.00000943269,"about_ca_system_score_gemma":0.000125775,"threshold_uncertainty_score":0.9935379},"labels":[],"label_agreement":null},{"id":"W3115061346","doi":"10.3390/jpm11010017","title":"The Role of Gamma Oscillations in the Pathophysiology of Substance Use Disorders","year":2020,"lang":"en","type":"review","venue":"Journal of Personalized Medicine","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Cannabis; Medicine; Amphetamine; Electroencephalography; Substance use; Pathophysiology; Neuroscience; Drug; Psychiatry; Clinical psychology; Bioinformatics; Psychology; Pathology; Internal medicine; Biology","score_opus":0.057191086850613214,"score_gpt":0.32106298282158946,"score_spread":0.26387189597097627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3115061346","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002221121,0.994639,0.00002882529,0.0021573035,0.00044414963,0.0003397398,0.000024527535,0.0000023515356,0.00014297356],"genre_scores_gemma":[0.0030051006,0.99646235,0.000017088334,0.00022251802,0.00020701704,0.000005265191,0.000002665956,0.000014167234,0.000063810585],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99748755,0.0006795072,0.0009865046,0.00016040243,0.00053495984,0.00015109984],"domain_scores_gemma":[0.994908,0.0031052935,0.0016509945,0.0001963212,0.00009146343,0.000047933125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066845235,0.00018128539,0.0010875232,0.00014436682,0.00007285324,0.000008222101,0.00049220497,0.000081487364,0.00002079022],"category_scores_gemma":[0.0016801406,0.00007751452,0.0003658099,0.00068917824,0.00048718054,0.000074835836,0.00001681606,0.0005535163,8.0972984e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002844315,0.0001264188,0.000052405016,0.0015342989,0.00007151487,0.00005857571,0.0029116226,0.000015643125,0.011461079,0.008230183,0.0008129541,0.9744409],"study_design_scores_gemma":[0.0005109276,0.00044642558,0.000074029354,0.002534306,0.00021948789,0.00008780976,0.00039495266,0.00012159783,0.000009238332,0.002615046,0.99290955,0.000076616605],"about_ca_topic_score_codex":0.000015381243,"about_ca_topic_score_gemma":0.000032767453,"teacher_disagreement_score":0.9920966,"about_ca_system_score_codex":0.00003713289,"about_ca_system_score_gemma":0.0001371116,"threshold_uncertainty_score":0.31609505},"labels":[],"label_agreement":null},{"id":"W3115173707","doi":"10.3389/fneur.2020.529460","title":"Large-Scale Desynchronization During Interictal Epileptic Discharges Recorded With Intracranial EEG","year":2020,"lang":"en","type":"article","venue":"Frontiers in Neurology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Heart Institute; Polytechnique Montréal; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Institut de Valorisation des Données","keywords":"Ictal; Neuroscience; Electroencephalography; Functional connectivity; Focus (optics); Epilepsy; Psychology; Medicine; Physics","score_opus":0.007691241807510376,"score_gpt":0.1973683797212686,"score_spread":0.18967713791375823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3115173707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9579824,0.000009977399,0.035569865,0.004498216,0.0014288878,0.00025448386,0.000013483522,0.000102276616,0.00014038998],"genre_scores_gemma":[0.9952139,0.00004579629,0.0008411589,0.003652749,0.00014212992,0.000021069649,0.000008440505,0.000033231754,0.000041515115],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99848527,0.00018101154,0.00023104732,0.0005796881,0.00013447656,0.00038851833],"domain_scores_gemma":[0.9996121,0.000043977245,0.00009325515,0.00013993891,0.000015087424,0.00009566521],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000050992054,0.00016777082,0.00023097696,0.000109549124,0.00011152088,0.000034186647,0.00020790567,0.000090109046,0.000060513154],"category_scores_gemma":[0.0001921692,0.0001497932,0.00003655994,0.00042958205,0.0001041022,0.00022027358,0.00009189549,0.00037541657,0.000017906947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0065645096,0.0003953466,0.44327447,0.000154807,0.000020087777,0.0013516195,0.0027760644,0.0037092338,0.53246284,0.0004514246,0.0024910714,0.00634852],"study_design_scores_gemma":[0.0061383196,0.0041882703,0.1870276,0.000033000993,0.000039998442,0.00044313076,0.00030959156,0.7800429,0.01631458,0.0010920189,0.0034648147,0.0009057799],"about_ca_topic_score_codex":0.0000030674862,"about_ca_topic_score_gemma":0.00003085414,"teacher_disagreement_score":0.77633363,"about_ca_system_score_codex":0.000025434749,"about_ca_system_score_gemma":0.000019039351,"threshold_uncertainty_score":0.61083895},"labels":[],"label_agreement":null},{"id":"W3118185478","doi":"10.33735/phimisci.2020.ii.64","title":"Predictive processing as a systematic basis for identifying the neural correlates of consciousness","year":2020,"lang":"en","type":"article","venue":"Philosophy and the Mind Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":161,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Australian Research Council; Canadian Institute for Advanced Research","keywords":"Neural correlates of consciousness; Consciousness; Predictive value; Artificial neural network; Cognitive science; Psychology; Artificial intelligence; Cognitive psychology; Computer science; Cognition; Neuroscience; Medicine","score_opus":0.07864489593480506,"score_gpt":0.28589469014582214,"score_spread":0.20724979421101708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118185478","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9768141,0.0007999576,0.0010096277,0.01791948,0.00036297392,0.001363431,0.00002066013,0.00002107655,0.0016887037],"genre_scores_gemma":[0.99895185,0.0000149992675,0.000016908447,0.00088224775,0.000067089226,0.000050565595,1.7195757e-7,0.000003822122,0.000012341811],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989584,0.00015176249,0.00022512872,0.00026877748,0.0002632734,0.00013262736],"domain_scores_gemma":[0.99812883,0.0015019228,0.0002180882,0.00007560559,0.000039368286,0.000036164554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005735591,0.00009138499,0.00018765531,0.00002493767,0.000830955,0.00015927468,0.00033534734,0.000019801131,0.0000029215776],"category_scores_gemma":[0.001356126,0.000040976032,0.00006603984,0.00038392257,0.0014023943,0.00022833946,0.00007042704,0.00008013151,0.0000018252563],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002400171,0.00019543822,0.0018260087,0.017611763,0.000094710966,0.000016470298,0.0683915,0.0041699437,0.09938525,0.80052704,0.000052979103,0.0053287586],"study_design_scores_gemma":[0.00070527307,0.00042899264,0.00009389555,0.0007602393,0.00012413393,0.00005245212,0.0023764411,0.8088927,0.011505341,0.17491062,0.000005060317,0.00014483467],"about_ca_topic_score_codex":0.000003996327,"about_ca_topic_score_gemma":7.338249e-7,"teacher_disagreement_score":0.8047228,"about_ca_system_score_codex":0.0000034306856,"about_ca_system_score_gemma":0.000028274068,"threshold_uncertainty_score":0.63911176},"labels":[],"label_agreement":null},{"id":"W3118367684","doi":"10.1101/430306","title":"Dual brain cortical calcium imaging reveals social interaction-specific correlated activity in mice","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Fondation Brain Canada","keywords":"Neuroscience; Calcium imaging; Cortex (anatomy); Psychology; Calcium; Medicine; Internal medicine","score_opus":0.0326055067543378,"score_gpt":0.2668482989193878,"score_spread":0.23424279216505003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118367684","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9904121,0.00003844856,0.0012184965,0.001525845,0.0054958113,0.00069926964,0.0001841632,0.00038716366,0.000038673174],"genre_scores_gemma":[0.99768424,0.000038887167,0.00013652547,0.0008665051,0.0010325745,0.0000909049,4.857053e-7,0.000130379,0.000019489518],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99552023,0.0007153009,0.0007056766,0.0017025429,0.00054744794,0.00080882455],"domain_scores_gemma":[0.99773186,0.0005521123,0.00057158066,0.00066115643,0.00026054916,0.00022274916],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00080835837,0.0006190613,0.00063326064,0.00044456252,0.0004086395,0.00042100556,0.00048669186,0.00052863406,0.00009953449],"category_scores_gemma":[0.0010309442,0.00069413683,0.0002044599,0.00087335234,0.00034498522,0.00042642598,0.0006580252,0.0022714608,0.0001984587],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016966044,0.0002270889,0.0021648512,0.000076685676,0.000013678861,0.00018952816,0.000018388519,0.000022975364,0.99444014,0.0005465448,0.0021215458,0.000008934016],"study_design_scores_gemma":[0.0011774151,0.000092767805,0.2855369,0.0004424439,0.00005360939,4.6950728e-7,0.0000067592155,0.017958114,0.6889931,0.000022940905,0.0041623954,0.00155313],"about_ca_topic_score_codex":0.00007159119,"about_ca_topic_score_gemma":0.0000056081917,"teacher_disagreement_score":0.30544704,"about_ca_system_score_codex":0.0007174946,"about_ca_system_score_gemma":0.00025506364,"threshold_uncertainty_score":0.999551},"labels":[],"label_agreement":null},{"id":"W3118400252","doi":"","title":"Synchronization in two uncoupled chaotic neurons","year":2004,"lang":"en","type":"article","venue":"Lecture notes in computer science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Synchronization (alternating current); Lyapunov exponent; Control theory (sociology); Chaotic; SIGNAL (programming language); Synchronization of chaos; Phase synchronization; Interval (graph theory); Phase (matter); Neuron; Physics; Stimulation; Mathematics; Topology (electrical circuits); Biological system; Neuroscience; Computer science; Artificial intelligence; Biology; Combinatorics","score_opus":0.014722470655250936,"score_gpt":0.2586634825910856,"score_spread":0.2439410119358347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118400252","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4546287,0.0000052647365,0.5437853,0.00071187806,0.00069421873,0.00012430451,4.861424e-7,0.00003603847,0.000013845868],"genre_scores_gemma":[0.9922023,0.0000058917203,0.005290514,0.0023900701,0.000095378455,0.0000051553843,7.593646e-7,0.000009221826,7.256862e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983488,0.00004718954,0.00019761818,0.000656746,0.00035383235,0.0003958593],"domain_scores_gemma":[0.9993663,0.0002105785,0.00005512685,0.0002776685,0.00002945871,0.00006088752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025215695,0.00013617947,0.00012341366,0.00034359362,0.00014469247,0.000141776,0.00045960426,0.00002974853,0.0000062175754],"category_scores_gemma":[0.00046998987,0.0001207243,0.000024215138,0.0025058975,0.00025769067,0.0003702914,0.0001532678,0.00024115916,0.000017748507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000049780892,0.000054939705,0.001233912,0.0000049490914,1.2855645e-7,0.00004312158,0.00014488194,0.8613119,0.08110948,0.0010519996,1.8018618e-7,0.055039525],"study_design_scores_gemma":[0.000588384,0.00009779979,0.006128505,0.000038789094,8.3139184e-7,0.000044171073,2.0685826e-7,0.91298294,0.051259927,0.028701443,0.0000037633763,0.00015322099],"about_ca_topic_score_codex":0.000088366265,"about_ca_topic_score_gemma":0.00037153257,"teacher_disagreement_score":0.53849477,"about_ca_system_score_codex":0.00022936385,"about_ca_system_score_gemma":0.0001508175,"threshold_uncertainty_score":0.4922994},"labels":[],"label_agreement":null},{"id":"W3119022627","doi":"10.1371/journal.pone.0244822","title":"Embodied working memory during ongoing input streams","year":2021,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Working memory; Embodied cognition; Sensory system; Computer science; Neuroscience; Cognition; Sensory memory; Context (archaeology); Representation (politics); Stimulus (psychology); Sensory substitution; Cognitive psychology; Psychology; Artificial intelligence; Biology","score_opus":0.06626560796085121,"score_gpt":0.22618569542939213,"score_spread":0.15992008746854092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119022627","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9819842,0.00002788092,0.000011077293,0.00043973143,0.00016725202,0.000088435816,0.0000026302394,0.00012945346,0.017149348],"genre_scores_gemma":[0.99520665,0.0000572662,0.00022144163,0.00053251087,0.00019082178,0.000008989657,0.000003405025,0.000020829048,0.003758076],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99887425,0.000060098788,0.00014901337,0.00036860618,0.0003035464,0.00024446897],"domain_scores_gemma":[0.99949133,0.000120478144,0.00005706111,0.00023877712,0.000029099147,0.00006325346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000055015968,0.000101044316,0.0001432576,0.000051174036,0.00020072627,0.000089010886,0.00010621223,0.000040878436,0.00011194548],"category_scores_gemma":[0.00038123273,0.000104510436,0.000044262826,0.0002652069,0.000025991478,0.00011730416,0.00011902684,0.00018651053,0.00008004216],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001181806,0.00028286834,0.0012600336,0.000042298594,0.000010704081,0.000115664065,0.00006498972,0.000035298413,0.9956743,0.0003831647,0.000006934089,0.0021119146],"study_design_scores_gemma":[0.0002647233,0.00002168825,0.0019340821,0.00017246322,0.000020922922,0.000013072037,0.00003107061,0.0034629032,0.9935643,0.00034426202,0.000030771676,0.0001397297],"about_ca_topic_score_codex":0.000005233661,"about_ca_topic_score_gemma":0.000021385205,"teacher_disagreement_score":0.013391272,"about_ca_system_score_codex":0.0000438867,"about_ca_system_score_gemma":0.000023457542,"threshold_uncertainty_score":0.4261812},"labels":[],"label_agreement":null},{"id":"W3119686930","doi":"10.1007/s00221-020-05984-8","title":"EEG signatures of contextual influences on visual search with real scenes","year":2021,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Army Research Office; Natural Sciences and Engineering Research Council of Canada","keywords":"Artificial intelligence; Computer science; Classifier (UML); Visual search; Electroencephalography; Pattern recognition (psychology); Computer vision; Context (archaeology); Psychology; Neuroscience","score_opus":0.08187874972282909,"score_gpt":0.4174248758642336,"score_spread":0.3355461261414045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119686930","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891014,0.00012908381,0.000004270849,0.0011293862,0.00011130219,0.00027551345,0.000016434351,0.000036095327,0.009196514],"genre_scores_gemma":[0.9969684,0.000029092558,0.00004491923,0.0005729998,0.00007009196,0.000032975113,0.000009302619,0.000024313103,0.0022478953],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9963145,0.0007759454,0.00020975592,0.00062896934,0.0015627207,0.00050809566],"domain_scores_gemma":[0.99781513,0.0015333508,0.000040336447,0.0002737159,0.0001947737,0.00014267671],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005626667,0.00015599375,0.0001968828,0.00021235587,0.00032837046,0.00012242522,0.0002975598,0.000082455175,0.00030144842],"category_scores_gemma":[0.0005277241,0.00012003654,0.00005923424,0.00079862657,0.00072557194,0.00017701134,0.00023587131,0.00050164975,0.00004777355],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006027989,0.0004428697,0.0004016478,0.000016631671,0.00000763306,0.00018709789,0.00051155157,0.00009146757,0.98311853,0.012728822,0.0006469588,0.0012439765],"study_design_scores_gemma":[0.0006309133,0.0020670383,0.0037302664,0.000058409478,8.341319e-7,0.000020510244,0.0026096716,0.00081530836,0.9895261,0.00008910206,0.00031553925,0.00013633129],"about_ca_topic_score_codex":0.00020033709,"about_ca_topic_score_gemma":0.000026143261,"teacher_disagreement_score":0.012639721,"about_ca_system_score_codex":0.00008409348,"about_ca_system_score_gemma":0.00020524632,"threshold_uncertainty_score":0.4894948},"labels":[],"label_agreement":null},{"id":"W3119737900","doi":"10.1017/s0012217320000438","title":"In Defence of David Armstrong's Materialist Theory of Perception","year":2021,"lang":"en","type":"article","venue":"Dialogue","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Materialism; Qualia; Character (mathematics); Perception; Philosophy; Consciousness; Epistemology; Phenomenology (philosophy); Cognitive science; Communication; Psychology; Mathematics","score_opus":0.02862477045395661,"score_gpt":0.2534086034140833,"score_spread":0.22478383296012666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119737900","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99811614,0.000004707236,0.00022503643,0.00012542451,0.0005145007,0.000051914747,0.000055457498,0.0000067026276,0.0009001448],"genre_scores_gemma":[0.9994872,0.000022971377,0.000060201844,0.00019079426,0.00003212033,0.000003503902,0.000016845135,0.0000050925078,0.00018126522],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99934393,0.0001409436,0.00016748781,0.00016175487,0.00009740574,0.00008850282],"domain_scores_gemma":[0.99966675,0.00009090906,0.00006655181,0.00013685448,0.000023607907,0.000015341671],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013009307,0.000050321945,0.00010793063,0.00004078166,0.000015329771,0.000008231863,0.000076501514,0.000032374108,0.0001558028],"category_scores_gemma":[0.00026053237,0.00004697987,0.00003412692,0.00015764598,0.000078440695,0.000092091024,0.000038127317,0.000045575503,0.000009299797],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024914503,0.000051679035,0.0013099757,0.00001963847,5.0711424e-7,0.000008318745,0.00014593023,0.000035405494,0.9768647,0.020904943,0.000025866746,0.00060814695],"study_design_scores_gemma":[0.00027874415,0.00006232335,0.056419592,0.000029362263,0.000004919749,0.00001279807,0.00010795016,0.0002374043,0.9278586,0.01468588,0.00021973155,0.00008268916],"about_ca_topic_score_codex":0.000042299424,"about_ca_topic_score_gemma":0.00002397421,"teacher_disagreement_score":0.055109616,"about_ca_system_score_codex":0.000013413404,"about_ca_system_score_gemma":0.00002110787,"threshold_uncertainty_score":0.19157834},"labels":[],"label_agreement":null},{"id":"W3120042973","doi":"10.1063/5.0022350","title":"Brain rhythm bursts are enhanced by multiplicative noise","year":2021,"lang":"en","type":"article","venue":"Chaos An Interdisciplinary Journal of Nonlinear Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; University of Ottawa","keywords":"Noise (video); Envelope (radar); Multiplicative function; Statistical physics; Physics; Amplitude; Multiplicative noise; Rhythm; Stochastic resonance; Stochastic process; Mathematics; Mathematical analysis; Computer science; Statistics; Quantum mechanics; Artificial intelligence","score_opus":0.024341629446872962,"score_gpt":0.3296161029730401,"score_spread":0.30527447352616716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120042973","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9860491,0.000061379615,0.0056378166,0.0063577252,0.0012032168,0.00011983726,0.00005811592,0.000027682645,0.00048512046],"genre_scores_gemma":[0.99602026,0.000045671462,0.0016510817,0.0011059837,0.00037094238,0.0000037559282,0.0000038582707,0.000022399541,0.0007760706],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99736774,0.00014659138,0.00058256544,0.00067295966,0.00078544114,0.00044469652],"domain_scores_gemma":[0.99758095,0.00025146853,0.00068775885,0.00045840105,0.000633327,0.00038808474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066871615,0.00022490618,0.0003303624,0.00023051933,0.00071700476,0.00023850462,0.0008854096,0.00006474678,0.000083857296],"category_scores_gemma":[0.00095345994,0.00018292709,0.00016727793,0.0011274613,0.000757081,0.0014554653,0.0007195962,0.00047642295,0.00003785723],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009180448,0.00033791136,0.00004793393,0.000009825319,0.0000035509731,0.00019275429,0.00089034537,0.00014512606,0.9907802,0.000088789064,0.0006174827,0.006794278],"study_design_scores_gemma":[0.00063499267,0.0007521134,0.0015653119,0.00016821598,0.000009450577,0.0013961003,0.0013725312,0.025345458,0.96674454,0.0009018205,0.0008173233,0.00029213473],"about_ca_topic_score_codex":0.0000010019667,"about_ca_topic_score_gemma":0.0000064743163,"teacher_disagreement_score":0.025200332,"about_ca_system_score_codex":0.00014897049,"about_ca_system_score_gemma":0.0002827263,"threshold_uncertainty_score":0.74595505},"labels":[],"label_agreement":null},{"id":"W3120217030","doi":"10.1016/j.cortex.2021.01.001","title":"On the control of attentional processes in vision","year":2021,"lang":"en","type":"preprint","venue":"Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Air Force Office of Scientific Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Sketch; Perspective (graphical); Attentional control; Cognitive science; Cognitive psychology; Focus (optics); Control (management); Computer science; Psychology; Function (biology); Artificial intelligence; Cognition; Neuroscience; Algorithm","score_opus":0.026495647219165527,"score_gpt":0.27108314330756655,"score_spread":0.24458749608840102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120217030","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959899,0.000045830537,0.00057452125,0.0012463164,0.0006325399,0.00028866404,0.00002728122,0.000012993978,0.001181922],"genre_scores_gemma":[0.9986601,0.00005758391,0.0000038830162,0.0008728064,0.000030544772,0.000029517741,0.000012349695,0.0000080545515,0.00032516828],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99901044,0.00009322171,0.00019141908,0.00035407743,0.0002574605,0.00009337138],"domain_scores_gemma":[0.999,0.0005434398,0.00014533881,0.00022713488,0.00006846448,0.000015611555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012208875,0.00009942486,0.00014873681,0.00005323931,0.000037618338,0.000045856956,0.00019750367,0.00007205825,0.00010115765],"category_scores_gemma":[0.00087126275,0.00006656481,0.00006605857,0.00015928241,0.000057606525,0.000031503878,0.00013162194,0.00030444356,0.0000068870113],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023385232,0.0007316699,0.0022008275,0.0006652026,0.000014497977,0.000084799954,0.00015663652,0.005087364,0.9519429,0.032699693,0.00063025614,0.005552268],"study_design_scores_gemma":[0.0038661805,0.0011782293,0.54271454,0.004998281,0.0001118856,0.000063049774,0.00022765667,0.20587978,0.13310176,0.10399966,0.002323855,0.0015351265],"about_ca_topic_score_codex":0.0000075998514,"about_ca_topic_score_gemma":0.000021370255,"teacher_disagreement_score":0.81884116,"about_ca_system_score_codex":0.00002070072,"about_ca_system_score_gemma":0.00010647528,"threshold_uncertainty_score":0.27144343},"labels":[],"label_agreement":null},{"id":"W3121087712","doi":"10.1016/bs.irn.2020.11.006","title":"The anterior cingulate cortex and event-based modulation of autonomic states","year":2021,"lang":"en","type":"article","venue":"International review of neurobiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Neuroscience; Cognition; Anterior cingulate cortex; Psychology; Perspective (graphical); Cingulate cortex; Posterior cingulate; Autonomic nervous system; Cognitive psychology; Medicine; Central nervous system; Internal medicine; Heart rate; Computer science","score_opus":0.014770523005177841,"score_gpt":0.2879061722076402,"score_spread":0.27313564920246236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121087712","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99373734,0.0013608417,0.000280256,0.003627919,0.00071539555,0.00012108499,0.000041560637,0.0000075037656,0.00010810984],"genre_scores_gemma":[0.9831198,0.015063081,0.000022521423,0.0016469182,0.000014890033,0.000004320534,0.000018130357,0.00000471466,0.00010565636],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992074,0.00013727504,0.00033678146,0.00017848982,0.000071743925,0.000068303656],"domain_scores_gemma":[0.99910694,0.00039993474,0.00025751628,0.000116743235,0.00010493455,0.000013916788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012904353,0.00006134732,0.00014667763,0.00002713593,0.000033925673,0.0000083964715,0.00011890504,0.000017369173,0.00003397443],"category_scores_gemma":[0.00055639097,0.000043202417,0.000060473445,0.00006656326,0.000102866914,0.00003720656,0.00005413161,0.00005177453,0.0000021890737],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021476344,0.000022415286,0.00045087354,0.00015802114,0.000005838335,0.000003530298,0.0000030455863,0.0002479017,0.9863313,0.0023044257,0.000053961387,0.010397232],"study_design_scores_gemma":[0.0013543917,0.00069099845,0.28961372,0.00392986,0.00006433143,0.00031581311,0.0000129581385,0.2768663,0.37958062,0.0051638843,0.042025786,0.00038134234],"about_ca_topic_score_codex":0.0000038606627,"about_ca_topic_score_gemma":0.0000036627926,"teacher_disagreement_score":0.60675067,"about_ca_system_score_codex":0.0000106191565,"about_ca_system_score_gemma":0.000034348574,"threshold_uncertainty_score":0.17617436},"labels":[],"label_agreement":null},{"id":"W3121299021","doi":"10.1371/journal.pcbi.1008114","title":"HippoUnit: A software tool for the automated testing and systematic comparison of detailed models of hippocampal neurons based on electrophysiological data","year":2021,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute; Centre Hospitalier Universitaire Sainte-Justine","funders":"Horizon 2020 Framework Programme; Innovációs és Technológiai Minisztérium; European Social Fund; Nemzeti Kutatási Fejlesztési és Innovációs Hivatal; European Commission","keywords":"Computer science; Context (archaeology); Experimental data; Python (programming language); Software; Computational model; Hippocampal formation; Electrophysiology; Artificial intelligence; Machine learning; Data mining; Neuroscience; Biology","score_opus":0.13242375126942743,"score_gpt":0.31779757803862285,"score_spread":0.18537382676919542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121299021","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9265977,0.000037114383,0.07215632,0.00022915406,0.000072820025,0.0005379621,0.00028301816,0.000079481164,0.00000643532],"genre_scores_gemma":[0.99238515,0.0000013615579,0.007049197,0.00035656075,0.000013436555,0.000031162814,0.0001535562,0.0000075431144,0.0000020572286],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987082,0.00034097675,0.0003609375,0.0003293859,0.0001264821,0.00013401272],"domain_scores_gemma":[0.98634887,0.012991704,0.00023493644,0.00022943133,0.00017533496,0.0000197213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013307386,0.0001024568,0.00031511718,0.00004526167,0.00012444338,0.000013796091,0.00022256532,0.000049948358,0.000003140072],"category_scores_gemma":[0.004738558,0.0000670098,0.000035866116,0.00021763764,0.000128952,0.000042751217,0.000104174156,0.000095641364,7.1003774e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001997823,0.0003743689,0.0014760871,0.0014068098,0.000032195254,0.0000023584366,0.0000213689,0.43063247,0.5594348,0.0058573396,0.00003162416,0.00053084455],"study_design_scores_gemma":[0.0002898625,0.0005473924,0.002163498,0.00012156853,0.000039423678,0.000007205387,0.00000679884,0.9845142,0.0032258085,0.009019544,4.0739238e-7,0.00006433642],"about_ca_topic_score_codex":0.0000015989165,"about_ca_topic_score_gemma":9.229137e-7,"teacher_disagreement_score":0.5562089,"about_ca_system_score_codex":0.000009916594,"about_ca_system_score_gemma":0.00008343033,"threshold_uncertainty_score":0.56728387},"labels":[],"label_agreement":null},{"id":"W3121539423","doi":"10.1101/2020.09.28.316646","title":"The natural axis of transmitter receptor distribution in the human cerebral cortex","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"Deutsche Forschungsgemeinschaft","keywords":"Neuroscience; Human brain; Cerebral cortex; Receptor; Biology; Genetics","score_opus":0.018426412911985896,"score_gpt":0.22810523215363562,"score_spread":0.20967881924164972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121539423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933322,0.000112692316,0.00019650783,0.0034499185,0.0015781373,0.00079019344,0.00043285807,0.00009870311,0.0000087896005],"genre_scores_gemma":[0.9987601,0.000081025406,0.000032535616,0.00071619794,0.00026321685,0.00009729401,0.0000016894655,0.0000429914,0.000004973656],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9973294,0.00042348274,0.00054908707,0.0007769924,0.0005115111,0.00040948612],"domain_scores_gemma":[0.9983629,0.0002640435,0.0003704193,0.00081122597,0.00011526009,0.000076159835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052646524,0.00035644136,0.00033174452,0.00006221035,0.0003419326,0.0002298013,0.00101444,0.00022369696,0.000015704778],"category_scores_gemma":[0.00038617014,0.00023649844,0.00019709005,0.0006060343,0.00027116307,0.00012217666,0.00021811861,0.0012298614,0.000019206233],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038427115,0.00006421062,0.0011863154,0.000088829605,0.000011321881,0.00001234142,0.000020204528,0.000007808759,0.99159384,0.006378066,0.0005931881,0.0000054768616],"study_design_scores_gemma":[0.0007655464,0.00016682537,0.38325587,0.00022681798,0.00006572271,5.4991645e-8,0.0000124263515,0.002915881,0.59894544,0.00007311693,0.012805073,0.000767208],"about_ca_topic_score_codex":0.000047223264,"about_ca_topic_score_gemma":0.000008956298,"teacher_disagreement_score":0.39264834,"about_ca_system_score_codex":0.0001287386,"about_ca_system_score_gemma":0.00012577877,"threshold_uncertainty_score":0.9644126},"labels":[],"label_agreement":null},{"id":"W3121762160","doi":"10.1101/2020.06.04.133892","title":"Linear-Nonlinear Cascades Capture Synaptic Dynamics","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Nonlinear system; Dynamics (music); Artificial intelligence; Biological system; Physics","score_opus":0.022777229809987955,"score_gpt":0.23144548649749305,"score_spread":0.2086682566875051,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121762160","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9832791,0.00027329152,0.0041948594,0.0038012199,0.004411042,0.0011870947,0.001417756,0.0013834876,0.000052160052],"genre_scores_gemma":[0.9933757,0.00023579254,0.0028367366,0.0022189668,0.0009743944,0.000092451126,0.0000015017932,0.00023704053,0.00002742368],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99576795,0.00023586264,0.0006555003,0.0019203665,0.0006629245,0.00075738336],"domain_scores_gemma":[0.99727297,0.00020340382,0.00050999154,0.0012987608,0.00024583883,0.00046906498],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002744889,0.00082164974,0.0007374706,0.00024133179,0.00029202292,0.00035289233,0.0010215904,0.00082140573,0.000047440786],"category_scores_gemma":[0.0012624757,0.00083522336,0.0003056735,0.0007932918,0.00022373942,0.00021001378,0.00094341196,0.0020937808,0.0002776324],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053227435,0.0001312144,0.00041188448,0.00043343907,0.00006574598,0.0004467541,0.0000100267425,0.0005616197,0.99381953,0.0037347903,0.00032878795,0.0000029882915],"study_design_scores_gemma":[0.00084040203,0.00021789577,0.0045572794,0.0004918999,0.00029394127,3.8259768e-7,0.000008103582,0.53857255,0.44449455,0.000046743615,0.0079273805,0.0025488988],"about_ca_topic_score_codex":0.000062625484,"about_ca_topic_score_gemma":0.0000062667386,"teacher_disagreement_score":0.549325,"about_ca_system_score_codex":0.00041744977,"about_ca_system_score_gemma":0.00045919477,"threshold_uncertainty_score":0.99940985},"labels":[],"label_agreement":null},{"id":"W3122204167","doi":"10.2139/ssrn.3745288","title":"Dense Movement with Embedded Sparse Action-Type Representations in the Output Layer of Motor Cortex","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Discovery Centre","funders":"","keywords":"Movement (music); Layer (electronics); Action (physics); Motor cortex; Psychology; Neuroscience; Computer science; Physical medicine and rehabilitation; Cognitive psychology; Medicine; Art; Physics; Chemistry; Aesthetics","score_opus":0.048627174824561574,"score_gpt":0.28683790428880335,"score_spread":0.23821072946424177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122204167","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99432063,0.000036653564,0.0011579726,0.0038133187,0.00012490443,0.00021185278,0.0000026055748,0.0000115877165,0.00032046085],"genre_scores_gemma":[0.9972806,0.0003780408,0.000020264944,0.0016853695,0.0000911216,0.000004719393,0.0000011769813,0.000010677204,0.00052806083],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998575,0.00014053592,0.00021203708,0.00018759958,0.00032099048,0.0005638765],"domain_scores_gemma":[0.9995217,0.00009734297,0.00015879112,0.00012951896,0.00004878397,0.00004388053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032041204,0.00008972213,0.00010328717,0.00005718374,0.0001155463,0.000038398575,0.00020194221,0.000024254567,0.000020432017],"category_scores_gemma":[0.00017271072,0.00005739301,0.00004766742,0.0003934656,0.000039215796,0.00014774919,0.000018309758,0.00078446494,0.000010153991],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008404181,0.00021137232,0.0032990696,0.00001031322,0.00003975092,0.000042948246,0.0010974575,0.0017448235,0.94697195,0.042329814,0.00030582226,0.0031062446],"study_design_scores_gemma":[0.018481258,0.029715331,0.20531474,0.00021494283,0.00057792256,0.0048809987,0.061595224,0.132363,0.21305063,0.3233942,0.00786958,0.0025421393],"about_ca_topic_score_codex":0.000037915306,"about_ca_topic_score_gemma":0.0003844001,"teacher_disagreement_score":0.73392135,"about_ca_system_score_codex":0.00011953336,"about_ca_system_score_gemma":0.00039710678,"threshold_uncertainty_score":0.34081534},"labels":[],"label_agreement":null},{"id":"W3122213223","doi":"10.1016/j.brs.2021.01.014","title":"A case study of the feasibility of weekly tACS for the treatment of auditory hallucinations in schizophrenia","year":2021,"lang":"en","type":"letter","venue":"Brain stimulation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Institute of Mental Health; National Institutes of Health","keywords":"Transcranial alternating current stimulation; Schizophrenia (object-oriented programming); Psychology; Audiology; Transcranial magnetic stimulation; Medicine; Clinical psychology; Psychiatry; Neuroscience; Stimulation","score_opus":0.10499912144544599,"score_gpt":0.32970733067123437,"score_spread":0.22470820922578838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122213223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9686758,0.000023790524,0.00025375222,0.02721649,0.00079629,0.0028209658,0.00018926339,0.000008200722,0.000015481826],"genre_scores_gemma":[0.99625325,0.0000049890855,0.00003516315,0.0028124922,0.00029945694,0.000111996414,0.00002687556,0.000018634308,0.00043711072],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981503,0.00044689496,0.0005427838,0.00038033296,0.00035504438,0.00012463212],"domain_scores_gemma":[0.99535805,0.0032931326,0.0005571299,0.0006222111,0.0001588906,0.0000105611925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002335661,0.00017181733,0.00031870196,0.000121405414,0.000130036,0.000014028471,0.00017916948,0.00016086944,0.00000963581],"category_scores_gemma":[0.0008149124,0.0001063916,0.00018898993,0.00043573257,0.00010474894,0.000060727387,0.000039736507,0.0002086064,1.8389109e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00293598,0.026554659,0.03147825,0.0028421043,0.0006039121,0.0015200162,0.024011306,0.39316475,0.30549917,0.0012889452,0.14424795,0.06585297],"study_design_scores_gemma":[0.030951235,0.014715904,0.33251694,0.0006213056,0.0014460272,0.0004576872,0.003170333,0.57460827,0.013924127,0.004024639,0.022066,0.0014975597],"about_ca_topic_score_codex":0.0003574282,"about_ca_topic_score_gemma":0.0007105626,"teacher_disagreement_score":0.30103868,"about_ca_system_score_codex":0.00013225545,"about_ca_system_score_gemma":0.000109861976,"threshold_uncertainty_score":0.43385237},"labels":[],"label_agreement":null},{"id":"W3122269555","doi":"10.1101/2021.01.15.426915","title":"Learning from unexpected events in the neocortical microcircuit","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université de Montréal; Vector Institute; Canadian Institute for Advanced Research; University of Toronto; Mila - Quebec Artificial Intelligence Institute; The Scarborough Hospital; York University","funders":"Compute Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Neocortex; Neuroscience; Calcium imaging; Stimulus (psychology); Visual cortex; Bursting; Apical dendrite; Sensory system; Nerve net; Biology; Psychology; Cerebral cortex; Calcium; Chemistry; Cognitive psychology","score_opus":0.023821634273809303,"score_gpt":0.2250273099866655,"score_spread":0.2012056757128562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122269555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968974,0.00013471843,0.00045699006,0.00045604847,0.0012772996,0.000528179,0.000037780912,0.0001985791,0.000013010002],"genre_scores_gemma":[0.9982268,0.00011904578,0.00014784989,0.000969376,0.00032007307,0.0001325448,8.500812e-7,0.00007687461,0.000006549506],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9963707,0.00076827174,0.0004994885,0.0012787652,0.00054571254,0.00053706515],"domain_scores_gemma":[0.9981367,0.00042571884,0.00027954092,0.000917881,0.00011871697,0.00012142403],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00037361396,0.00042986448,0.00042409712,0.0001641686,0.00021714203,0.00029768853,0.0007956793,0.00039911977,0.000067287314],"category_scores_gemma":[0.0012705349,0.00038083122,0.00017343106,0.000805678,0.00008845489,0.0001516764,0.0004789576,0.001884513,0.00005758467],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014721647,0.00014142682,0.010516039,0.00003552977,0.000013913756,0.00019738034,0.000039134215,0.00020881392,0.9885786,0.0002305276,0.000020839845,0.0000030459996],"study_design_scores_gemma":[0.0007139052,0.000074277035,0.51087654,0.0004101694,0.000078286765,8.805884e-8,0.000034589335,0.006361701,0.4793983,0.00002405624,0.0010722502,0.0009558281],"about_ca_topic_score_codex":0.00017323378,"about_ca_topic_score_gemma":0.000012381578,"teacher_disagreement_score":0.5091803,"about_ca_system_score_codex":0.0001949177,"about_ca_system_score_gemma":0.00027392711,"threshold_uncertainty_score":0.99986434},"labels":[],"label_agreement":null},{"id":"W3122334969","doi":"10.2139/ssrn.3470398","title":"Cerebellar-Recipient Motor Thalamus Drives Behavioral Context-Specific Movement Initiation","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Discovery Centre","funders":"Biotechnology and Biological Sciences Research Council","keywords":"Thalamus; Neuroscience; Movement (music); Context (archaeology); Psychology; Physical medicine and rehabilitation; Movement disorders; Medicine; Biology; Physics","score_opus":0.019460166984172238,"score_gpt":0.24719084101997424,"score_spread":0.227730674035802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122334969","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99535143,0.00028889126,0.0008183148,0.00063031464,0.0015315724,0.00036753225,0.000008316692,0.000047097175,0.0009565082],"genre_scores_gemma":[0.9932523,0.0017900487,0.000011082146,0.0006282349,0.00024304472,0.000009326035,0.000005391001,0.000030209392,0.004030358],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971658,0.00013039986,0.00033851492,0.00038736218,0.0004889243,0.0014890288],"domain_scores_gemma":[0.99931383,0.000065344684,0.00023645152,0.00021720455,0.000072911644,0.00009427755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050305057,0.00019845196,0.00018045507,0.00014668962,0.00026753632,0.00014789142,0.0002811637,0.000073792566,0.0002114994],"category_scores_gemma":[0.000029076507,0.00017131712,0.00014974948,0.00018776156,0.00004475954,0.00036947627,0.000056147415,0.0011861444,0.00023765638],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001838673,0.00030860648,0.007326929,0.0000050861086,0.00001770096,0.0000122421,0.00019839559,0.00008889799,0.70279336,0.24593635,0.00010693586,0.043021645],"study_design_scores_gemma":[0.014725193,0.017634647,0.06300447,0.00022737448,0.00018409197,0.0023382364,0.007898475,0.009604005,0.26221532,0.55482405,0.06396495,0.0033792045],"about_ca_topic_score_codex":0.000020707645,"about_ca_topic_score_gemma":0.00010831994,"teacher_disagreement_score":0.440578,"about_ca_system_score_codex":0.00082635175,"about_ca_system_score_gemma":0.00041405173,"threshold_uncertainty_score":0.69861096},"labels":[],"label_agreement":null},{"id":"W3122831255","doi":"10.2139/ssrn.3458791","title":"Flexible Motor Sequence Generation during Stereotyped Escape Responses","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"","keywords":"Sequence (biology); Communication; Neuroscience; Psychology; Computer science; Physical medicine and rehabilitation; Biology; Genetics; Medicine","score_opus":0.030871070238710472,"score_gpt":0.26476027272193864,"score_spread":0.23388920248322817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122831255","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997473,0.00010146954,0.0006339048,0.00044438825,0.0006777345,0.00016853838,0.0000034615596,0.000059124024,0.00043838317],"genre_scores_gemma":[0.97424495,0.0006863636,0.000023450826,0.00024233777,0.00029792442,0.0000038052067,0.0000015658511,0.000021613672,0.02447797],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978482,0.00016600879,0.00021129368,0.00029724988,0.00028539813,0.001191815],"domain_scores_gemma":[0.99951905,0.000060785285,0.000134155,0.00018503537,0.000041020987,0.000059944494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055830163,0.00013017579,0.00011560285,0.00013497056,0.00027008294,0.0001259486,0.00021398798,0.00005240834,0.00008643955],"category_scores_gemma":[0.00015252811,0.00011251933,0.00007591777,0.00019724664,0.000024610217,0.00042122157,0.00003565255,0.0008946401,0.0002258283],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019287242,0.000017623452,0.0005172601,0.0000039904653,0.0000057148277,0.000005345757,0.00001833121,0.00011618463,0.9779511,0.01921707,0.000007774917,0.0019466951],"study_design_scores_gemma":[0.0026097125,0.0022159086,0.004929715,0.000052585758,0.000034218443,0.0044325576,0.00028188722,0.02753679,0.90219927,0.05306592,0.0018172442,0.0008241667],"about_ca_topic_score_codex":0.000009107518,"about_ca_topic_score_gemma":0.000036546673,"teacher_disagreement_score":0.07575184,"about_ca_system_score_codex":0.000516895,"about_ca_system_score_gemma":0.0005692878,"threshold_uncertainty_score":0.45884052},"labels":[],"label_agreement":null},{"id":"W3123069892","doi":"10.20944/preprints201904.0077.v1","title":"Evaluating Approximations and Heuristic Measures of Integrated Information","year":2019,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"Norges Forskningsråd; European Commission","keywords":"Heuristic; Uniqueness; Approximations of π; State (computer science); Entropy (arrow of time); Stochastic matrix; Binary number; Matrix (chemical analysis); Mathematics; Information theory; Applied mathematics; Computer science; Statistical physics; Mathematical optimization; Markov chain; Algorithm; Physics; Statistics; Mathematical analysis; Quantum mechanics; Chemistry","score_opus":0.2704547047704846,"score_gpt":0.3778631632941068,"score_spread":0.10740845852362219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123069892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99094296,0.000015246131,0.003260047,0.00014885156,0.0006697549,0.00088236196,0.00008717752,0.00009926124,0.0038943402],"genre_scores_gemma":[0.9991201,0.00006851958,0.00025826457,0.00012682642,0.000024933343,0.000069174625,0.000071869756,0.000015427671,0.0002448873],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980553,0.00023394212,0.00058722496,0.00048407735,0.00046244284,0.00017705429],"domain_scores_gemma":[0.9982798,0.00023229142,0.00057857716,0.0006169047,0.00023566799,0.00005672241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006917641,0.00022366103,0.00030460968,0.00021998325,0.00009350151,0.000047924997,0.00030156624,0.00018004164,0.00009796225],"category_scores_gemma":[0.004036746,0.0002079517,0.00008542524,0.00018919095,0.00010213642,0.00029866898,0.0008118896,0.0005750213,0.00020632261],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015954177,0.00014830803,0.10779826,0.0014248424,0.0000492703,0.0000015356393,0.0017194861,0.03494345,0.8296202,0.0054563573,0.000034241224,0.018644512],"study_design_scores_gemma":[0.00089165807,0.00012453708,0.20216559,0.00061739795,0.000139546,0.000026173388,0.00019714415,0.4798235,0.3002977,0.013787076,0.0011799092,0.00074977364],"about_ca_topic_score_codex":0.00009620538,"about_ca_topic_score_gemma":0.0000028533088,"teacher_disagreement_score":0.5293225,"about_ca_system_score_codex":0.000073980205,"about_ca_system_score_gemma":0.00012389016,"threshold_uncertainty_score":0.84800243},"labels":[],"label_agreement":null},{"id":"W3123608380","doi":"10.1101/2021.01.23.427916","title":"Long range, high-gamma phase coherence in the human brain during overt and covert speech","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Brain Institute; University of Toronto; University Health Network","funders":"","keywords":"Covert; Coherence (philosophical gambling strategy); Electroencephalography; Phase coherence; Brain activity and meditation; Neuroscience; Human brain; Epilepsy; Psychology; Phase (matter); Metric (unit); Physics; Audiology; Cognitive psychology; Medicine; Linguistics; Philosophy; Quantum mechanics","score_opus":0.02014610303427683,"score_gpt":0.2479773814164367,"score_spread":0.22783127838215986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123608380","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968486,0.00020358725,0.00013034898,0.00074275036,0.00087867264,0.0009023843,0.000118291544,0.00015913618,0.000016266154],"genre_scores_gemma":[0.99784917,0.0001594372,0.0001503765,0.0013234167,0.00027751052,0.00013190367,6.337979e-7,0.00008275567,0.000024803925],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99633604,0.00046794975,0.0005329315,0.0014603433,0.00060701097,0.0005957201],"domain_scores_gemma":[0.99792665,0.0003001708,0.00032916287,0.0011663062,0.00012050623,0.00015723049],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00068736187,0.0005469342,0.00053037953,0.00024179631,0.00036506786,0.0007645807,0.0007335076,0.00035192556,0.000053309454],"category_scores_gemma":[0.00064644305,0.0004944773,0.00011775734,0.0007082941,0.00019659913,0.00031316013,0.00063334923,0.0011872931,0.000012172179],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037877424,0.00024227017,0.007015209,0.00025234677,0.000013090664,0.00093465985,0.00002145967,0.00002739739,0.99080825,0.00055385905,0.00008683962,0.000006745781],"study_design_scores_gemma":[0.0024975524,0.00011545726,0.4299079,0.0005662043,0.00005014994,8.415862e-7,0.000007210797,0.00080197636,0.56467783,0.000014021511,0.00039020408,0.0009706796],"about_ca_topic_score_codex":0.0002030513,"about_ca_topic_score_gemma":0.000057081485,"teacher_disagreement_score":0.42613044,"about_ca_system_score_codex":0.00018551089,"about_ca_system_score_gemma":0.00018608914,"threshold_uncertainty_score":0.9997507},"labels":[],"label_agreement":null},{"id":"W3124097644","doi":"10.1007/s00422-020-00857-3","title":"Catastrophe theory in work from heartbeats to eye movements","year":2021,"lang":"en","type":"article","venue":"Biological Cybernetics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Heartbeat; Catastrophe theory; Cybernetics; Eye movement; Saccadic masking; Computer science; Action (physics); Key (lock); Zeeman effect; Artificial intelligence; Complex system; Cognitive science; Computer vision; Physics; Psychology; Engineering; Computer security","score_opus":0.04609804116795869,"score_gpt":0.2695271088635546,"score_spread":0.2234290676955959,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124097644","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99752605,0.000050095005,0.00028256807,0.0005136948,0.00035095945,0.00012406954,0.000050065217,0.00003402742,0.0010684866],"genre_scores_gemma":[0.99300355,0.000045726192,0.00058977434,0.0048616542,0.00007684926,0.000011450797,0.000027531125,0.00000744561,0.0013760033],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987543,0.00023199191,0.00017743117,0.00044859707,0.00013127882,0.00025638458],"domain_scores_gemma":[0.99935406,0.0002914052,0.000027975813,0.0002120329,0.000017408838,0.000097106735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009733247,0.00011349209,0.00013680472,0.000024902369,0.000042642307,0.00004015597,0.00015573869,0.000085390275,0.00029923936],"category_scores_gemma":[0.0006856174,0.0000851805,0.000041790277,0.000342482,0.000049146027,0.00002141554,0.00019406425,0.0001516028,0.00022418649],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014770121,0.0002484835,0.047737382,0.000001596351,0.000003316513,0.00019695995,0.00008004708,0.0002037712,0.9287,0.0077370517,0.00040624652,0.014537467],"study_design_scores_gemma":[0.0005617346,0.00035376882,0.8075958,0.000039486014,0.0000043726186,0.0000033026797,0.00006269075,0.0002068478,0.13659728,0.029971942,0.024222402,0.00038039326],"about_ca_topic_score_codex":0.000017652024,"about_ca_topic_score_gemma":0.000013706779,"teacher_disagreement_score":0.7921027,"about_ca_system_score_codex":0.000032118176,"about_ca_system_score_gemma":0.000012468741,"threshold_uncertainty_score":0.347356},"labels":[],"label_agreement":null},{"id":"W3124326416","doi":"10.20944/preprints202010.0006.v1","title":"What Can Local Transfer Entropy Tell us About Phase-amplitude Coupling in Electrophysiological Signals?","year":2020,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Institutes of Health","keywords":"Transfer entropy; Local field potential; Amplitude; Neuroscience; Computer science; Information transfer; Rhythm; Entropy (arrow of time); Coupling (piping); Electroencephalography; Electrophysiology; Physics; Principle of maximum entropy; Artificial intelligence; Psychology; Telecommunications; Acoustics; Optics; Materials science","score_opus":0.11825498087721918,"score_gpt":0.33735877547691284,"score_spread":0.21910379459969365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124326416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921233,0.000089757006,0.0039465777,0.00093092315,0.0012865561,0.0011271628,0.00004750061,0.00026428493,0.00018390405],"genre_scores_gemma":[0.9956245,0.001663181,0.000019159157,0.0019717563,0.00026747785,0.00019064685,0.00007402483,0.00007123332,0.000118019045],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9950105,0.00027530786,0.0008382293,0.0024330248,0.00059861003,0.00084433384],"domain_scores_gemma":[0.9983042,0.00031163846,0.00017494116,0.0008444104,0.0000681707,0.0002966471],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00033863832,0.0006479076,0.0008242541,0.00017309708,0.00015136869,0.00018790504,0.0010135387,0.0004945142,0.0005416137],"category_scores_gemma":[0.0003587332,0.0006107886,0.00037787453,0.00037390314,0.00027189756,0.00023731044,0.0009390449,0.0024004362,0.000430251],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000483498,0.00044403007,0.005861196,0.00012127313,0.000020874839,0.00017293815,0.0001947239,0.03818184,0.9532334,0.00080541,0.000004436997,0.0004763651],"study_design_scores_gemma":[0.0017081553,0.00040365593,0.05300636,0.00033410764,0.00006027857,0.000020466689,0.00005865812,0.14059447,0.7958101,0.00600407,0.0008888848,0.001110794],"about_ca_topic_score_codex":0.00014856506,"about_ca_topic_score_gemma":0.00003614801,"teacher_disagreement_score":0.1574233,"about_ca_system_score_codex":0.0003351274,"about_ca_system_score_gemma":0.00019123695,"threshold_uncertainty_score":0.99990106},"labels":[],"label_agreement":null},{"id":"W3125209268","doi":"10.1101/2021.01.26.428323","title":"Training neural networks to recognize speech increased their correspondence to the human auditory pathway but did not yield a shared hierarchy of acoustic features","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute; International Laboratory for Brain, Music and Sound Research; Centre for Research on Brain Language and Music","funders":"Canadian Institutes of Health Research; Mitacs; Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Computer science; Hierarchy; Speech recognition; Task (project management); Artificial neural network; Convolutional neural network; Layer (electronics); Pattern recognition (psychology); Artificial intelligence","score_opus":0.04054510978517568,"score_gpt":0.23874869884886707,"score_spread":0.1982035890636914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125209268","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98931533,0.00009422655,0.0022668554,0.00068817224,0.00505218,0.0015141194,0.0007634652,0.0002929963,0.000012679042],"genre_scores_gemma":[0.9936484,0.000030175053,0.00046832653,0.0039554057,0.0013794412,0.0003128453,0.0000015463905,0.00015516947,0.00004868618],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99499434,0.00062850834,0.0007973806,0.0018650809,0.00080609013,0.00090862584],"domain_scores_gemma":[0.9953958,0.0012323225,0.00057320367,0.001804067,0.0004893021,0.0005053319],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001048874,0.0007875948,0.0008594486,0.0003949897,0.00053277955,0.0005787725,0.0016394533,0.00051213545,0.00009902643],"category_scores_gemma":[0.004337068,0.0006636328,0.00032491185,0.0013227799,0.00017830376,0.00020815333,0.0013356949,0.0017976799,0.000017164784],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001913765,0.00009730857,0.00014776117,0.000115332216,0.000032378495,0.00020819793,0.00009952902,0.006907566,0.99141705,0.00003691805,0.000674138,0.00007241482],"study_design_scores_gemma":[0.00048204177,0.00037797552,0.08215965,0.0013384353,0.00010800973,9.306161e-7,0.000056575278,0.022229305,0.8908376,0.0000030091426,0.0009350299,0.0014714124],"about_ca_topic_score_codex":0.00018978516,"about_ca_topic_score_gemma":0.0000745525,"teacher_disagreement_score":0.100579455,"about_ca_system_score_codex":0.00021573712,"about_ca_system_score_gemma":0.0005091602,"threshold_uncertainty_score":0.9995815},"labels":[],"label_agreement":null},{"id":"W3126032687","doi":"10.2139/ssrn.3134491","title":"Toward a Better Understanding of the Cortical Function: Seeing a Full Video","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Function (biology); Psychology; Computer science; Biology","score_opus":0.03843935029899671,"score_gpt":0.2477076347015757,"score_spread":0.209268284402579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126032687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90260243,0.000055409033,0.09069343,0.003722519,0.0013056038,0.000107997126,0.0000012002392,0.000025058498,0.00148633],"genre_scores_gemma":[0.99809706,0.00006926435,0.000011828073,0.0009990722,0.0004522965,0.0000012732762,1.250517e-7,0.0000135479495,0.00035553265],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99811053,0.00014385062,0.00023142523,0.00019220887,0.00032790162,0.0009941084],"domain_scores_gemma":[0.99950314,0.000108806285,0.00015238488,0.00014734882,0.000042023217,0.00004631523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000615499,0.00010171912,0.00010912993,0.000060602957,0.00046112205,0.000053741147,0.00022809356,0.000048278114,0.00005983222],"category_scores_gemma":[0.00021472233,0.000066184424,0.00012220367,0.00030296214,0.00019626926,0.00016082799,0.0000615166,0.0011507892,0.000017830098],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030016535,0.000047919642,0.0009957929,0.000007451088,0.00003608817,0.00000394141,0.00019745836,0.00001494399,0.5252795,0.4691226,0.00019928512,0.0037948457],"study_design_scores_gemma":[0.00090619776,0.0018942334,0.0014080711,0.000056435816,0.00007838526,0.002012203,0.00084450596,0.004745642,0.018135207,0.9681384,0.001542676,0.00023802595],"about_ca_topic_score_codex":0.0000048828215,"about_ca_topic_score_gemma":0.000093144954,"teacher_disagreement_score":0.50714433,"about_ca_system_score_codex":0.0005327167,"about_ca_system_score_gemma":0.00038439492,"threshold_uncertainty_score":0.49996707},"labels":[],"label_agreement":null},{"id":"W3126108592","doi":"10.1101/2021.01.16.426538","title":"Cognitive boundary signals in the human medial temporal lobe shape episodic memory representation","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network","funders":"National Institutes of Health; Cedars-Sinai Medical Center; Fondation Brain Canada","keywords":"Episodic memory; Mnemonic; Temporal lobe; Cognition; Semantic memory; Recognition memory; Psychology; Neuroscience; Neural substrate; Population; Explicit memory; Cognitive psychology; Computer science","score_opus":0.03965151368061082,"score_gpt":0.2757193590896985,"score_spread":0.2360678454090877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126108592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995509,0.0002302912,0.00018720851,0.0006123864,0.0018282527,0.0012112147,0.00016659382,0.00019109307,0.00006392675],"genre_scores_gemma":[0.99675804,0.00012235247,0.00008403939,0.0019342324,0.0006793198,0.00031798554,0.0000040214018,0.000090464535,0.000009542031],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99507594,0.0011208018,0.000733695,0.0015765141,0.00091578515,0.0005772515],"domain_scores_gemma":[0.9973936,0.00068867195,0.000554113,0.0009249847,0.00028555037,0.00015306796],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010848698,0.0005393251,0.0005501948,0.00033280344,0.00044824774,0.0008310903,0.0007803987,0.000425155,0.00017917632],"category_scores_gemma":[0.0017532146,0.0004908557,0.00022670925,0.001013355,0.00036119128,0.0003923877,0.0005353818,0.0014413137,0.000042417956],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040720483,0.00023223799,0.00398879,0.00012254617,0.0000196858,0.0006011656,0.000082031795,0.000058142774,0.9944978,0.00018260797,0.00016243849,0.000011830923],"study_design_scores_gemma":[0.0014773728,0.00016810307,0.14480056,0.0007718524,0.00014731145,3.4642014e-7,0.000115088056,0.0038488088,0.84687674,0.000060736675,0.00042318847,0.0013098993],"about_ca_topic_score_codex":0.00015641285,"about_ca_topic_score_gemma":0.00003531401,"teacher_disagreement_score":0.14762107,"about_ca_system_score_codex":0.00019377227,"about_ca_system_score_gemma":0.00051961007,"threshold_uncertainty_score":0.9997543},"labels":[],"label_agreement":null},{"id":"W3126121486","doi":"10.1093/cercor/bhaa403","title":"Motor Planning Modulates Neural Activity Patterns in Early Human Auditory Cortex","year":2020,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Queen's University","funders":"Canadian Institutes of Health Research","keywords":"Sensory system; Neuroscience; Functional magnetic resonance imaging; Motor cortex; Psychology; Auditory cortex; Posterior parietal cortex; Supplementary motor area; Motor system; Motor control; Cued speech; Cortex (anatomy); Cognitive psychology","score_opus":0.04262871035769767,"score_gpt":0.2675563499302242,"score_spread":0.22492763957252654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126121486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977116,0.0000054412135,0.000090347094,0.0004966833,0.0008104379,0.00029075405,0.000040693423,0.00017936915,0.00037468507],"genre_scores_gemma":[0.9976911,0.0000017478692,0.0000060222815,0.0015028627,0.00044592452,0.000014493628,0.000008760931,0.00003705063,0.00029205438],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9982177,0.0001196425,0.00025379498,0.00068919134,0.00029520586,0.00042446863],"domain_scores_gemma":[0.9993385,0.000092835064,0.00013814478,0.00022064241,0.00001862122,0.00019122814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000057928035,0.00023980913,0.00025718735,0.000090496316,0.0001859694,0.00011169456,0.00030020156,0.00009709957,0.000106572894],"category_scores_gemma":[0.00010946977,0.000233323,0.00010240841,0.00026589766,0.00006903046,0.00045330726,0.00014553775,0.00048490462,0.00006154764],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008126673,0.000049636208,0.11494591,0.000025639114,0.0000028844734,0.00012196796,0.00022421,0.0001658658,0.88301134,0.00011366405,0.00021086677,0.0010467386],"study_design_scores_gemma":[0.00049766887,0.00038587625,0.9192016,0.000020753336,0.0000058565115,0.000007765689,0.000018586785,0.0694505,0.009909986,0.00013795902,0.000094854746,0.00026858525],"about_ca_topic_score_codex":0.00014055315,"about_ca_topic_score_gemma":0.00002480629,"teacher_disagreement_score":0.87310135,"about_ca_system_score_codex":0.000057508976,"about_ca_system_score_gemma":0.000018387595,"threshold_uncertainty_score":0.9514636},"labels":[],"label_agreement":null},{"id":"W3126254461","doi":"10.1007/s00422-021-00862-0","title":"Deep reinforcement learning to study spatial navigation, learning and memory in artificial and biological agents","year":2021,"lang":"en","type":"article","venue":"Biological Cybernetics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Reinforcement learning; Artificial intelligence; Popularity; Context (archaeology); Cognitive science; Computer science; Deep learning; Spatial learning; Psychology; Neuroscience; Cognition","score_opus":0.059329183386467504,"score_gpt":0.2929785669226613,"score_spread":0.23364938353619377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126254461","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99829996,0.000030984895,0.00077805325,0.00019261349,0.00012571889,0.00028863217,5.23786e-7,0.000039683062,0.00024382892],"genre_scores_gemma":[0.9992021,0.00012248475,0.00009580108,0.00033209551,0.000060934315,0.000016897158,0.000012438991,0.0000062075183,0.000151076],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99841326,0.00041105095,0.00027556976,0.0005161101,0.00014503242,0.00023895179],"domain_scores_gemma":[0.9994783,0.00025524703,0.000060985472,0.00006998349,0.000031581734,0.00010392224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025266391,0.00013722396,0.00017697146,0.000040469065,0.00017587056,0.000072845876,0.00006510331,0.000102778125,0.00007659539],"category_scores_gemma":[0.00144199,0.000104880964,0.000022028784,0.00020742977,0.00008639225,0.000028013326,0.00027805776,0.00029586782,0.000013471241],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028281566,0.00054050714,0.3945739,0.000012452075,0.00001104581,0.00047972007,0.0019627633,0.014306391,0.47466606,0.0019161868,0.000007635306,0.111240506],"study_design_scores_gemma":[0.001455229,0.00559324,0.858948,0.000038687358,0.000017886898,0.00008755776,0.002825552,0.09963117,0.026266139,0.0019376926,0.002467251,0.0007316305],"about_ca_topic_score_codex":0.00002542514,"about_ca_topic_score_gemma":0.00002577469,"teacher_disagreement_score":0.46437407,"about_ca_system_score_codex":0.000022837972,"about_ca_system_score_gemma":0.00000789886,"threshold_uncertainty_score":0.42769217},"labels":[],"label_agreement":null},{"id":"W3126329229","doi":"","title":"Learning to live with Dale's principle: ANNs with separate excitatory and inhibitory units","year":2021,"lang":"en","type":"article","venue":"UCL Discovery (University College London)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; McGill University","funders":"","keywords":"Inhibitory postsynaptic potential; Excitatory postsynaptic potential; Artificial neural network; Computer science; Neuroscience; Artificial intelligence; Feed forward; Biological neural network; Machine learning; Psychology; Control engineering; Engineering","score_opus":0.012026981171635719,"score_gpt":0.19842752015301116,"score_spread":0.18640053898137543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126329229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959601,0.000018543045,0.0002943137,0.00045379947,0.00012513025,0.00027554072,0.00016955483,0.00008128632,0.0026216987],"genre_scores_gemma":[0.94435936,0.00003822889,0.00013612375,0.0005421805,0.00003204276,0.0000014536741,0.000013507752,0.000023356919,0.054853775],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99845153,0.00018740831,0.00008583021,0.0006555211,0.0003030822,0.0003165988],"domain_scores_gemma":[0.9991899,0.00016322534,0.0000815516,0.00023383948,0.00013482284,0.00019664309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007055665,0.00020805356,0.00021073152,0.00016512132,0.00059997605,0.000097462274,0.0001494154,0.000060118164,0.00003425966],"category_scores_gemma":[0.00007838399,0.0001970549,0.000030706728,0.0012356432,0.00017003124,0.0011629566,0.00025933055,0.00029320962,0.000033417582],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011956972,0.0010728962,0.07169763,0.0005534868,0.00032996148,0.03998395,0.01838294,0.02907925,0.70716536,0.11032389,0.007367386,0.0020862708],"study_design_scores_gemma":[0.025211055,0.014545768,0.31728387,0.0017341172,0.00074708334,0.0038364073,0.13351455,0.03438658,0.094283625,0.00044530735,0.36677435,0.0072372705],"about_ca_topic_score_codex":0.000031580374,"about_ca_topic_score_gemma":0.00046530663,"teacher_disagreement_score":0.6128817,"about_ca_system_score_codex":0.00011457571,"about_ca_system_score_gemma":0.00029305575,"threshold_uncertainty_score":0.8035666},"labels":[],"label_agreement":null},{"id":"W3126403123","doi":"10.1016/j.bpsc.2021.01.006","title":"Neural Abnormalities in Fear Generalization in Schizophrenia and Associations With Negative Symptoms","year":2021,"lang":"en","type":"article","venue":"Biological Psychiatry Cognitive Neuroscience and Neuroimaging","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"National Institute of Mental Health","keywords":"Psychology; Generalization; Functional magnetic resonance imaging; Schizophrenia (object-oriented programming); Neuroscience; Audiology; Fear conditioning; Cognitive psychology; Developmental psychology; Psychiatry; Amygdala; Medicine","score_opus":0.03580705914650616,"score_gpt":0.2760247436776731,"score_spread":0.24021768453116693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126403123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969475,0.000073368414,0.00010766156,0.0013658948,0.0002694596,0.0002133535,0.000023751147,0.000050425275,0.00094856246],"genre_scores_gemma":[0.9943691,0.00020185515,0.000081681304,0.0051784413,0.000035210218,0.000015217592,0.000004167419,0.000015168208,0.00009914174],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99810654,0.00035596226,0.00022056614,0.0008153345,0.00016447144,0.00033710996],"domain_scores_gemma":[0.99943703,0.00026879698,0.00009662557,0.000079045385,0.000035716293,0.000082765655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011871954,0.00018714012,0.00019001239,0.00017607166,0.00021304257,0.00016060061,0.0000827529,0.00004836354,0.000008796257],"category_scores_gemma":[0.00082578295,0.00014884808,0.00002295106,0.00090620184,0.0004075199,0.00038267433,0.000108116656,0.00026615997,0.0000015593165],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001278217,0.00016469159,0.8367259,0.000011175328,9.627621e-7,0.00013267083,0.00012221369,0.00006525994,0.15287189,0.006368603,0.0000083210925,0.0034004743],"study_design_scores_gemma":[0.0011490489,0.000244241,0.9847187,0.000047784564,0.000004648402,0.00014355544,0.0001510443,0.009181875,0.0025453882,0.0015652102,0.00002304671,0.00022548478],"about_ca_topic_score_codex":0.000021372434,"about_ca_topic_score_gemma":0.00009672915,"teacher_disagreement_score":0.1503265,"about_ca_system_score_codex":0.000013298596,"about_ca_system_score_gemma":0.000045639918,"threshold_uncertainty_score":0.60698485},"labels":[],"label_agreement":null},{"id":"W3126690015","doi":"10.1101/2021.02.05.429165","title":"A partially nested cortical hierarchy of neural states underlies event segmentation in the human brain","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"Medical Research Council; Biotechnology and Biological Sciences Research Council; Directorate for Biological Sciences; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Hierarchy; Segmentation; Event (particle physics); Neuroscience; Sensory system; State (computer science); Human brain; Computer science; Psychology; Artificial intelligence; Physics; Algorithm","score_opus":0.02900816726887579,"score_gpt":0.26616936758910914,"score_spread":0.23716120032023336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126690015","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962795,0.000063384374,0.00075918844,0.0014382,0.0005845458,0.0007213829,0.00006695312,0.00008429747,0.0000025715806],"genre_scores_gemma":[0.99834067,0.000054736967,0.00015267546,0.0011686496,0.000094817704,0.0001364318,0.0000016410033,0.000046988243,0.0000033655447],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99666435,0.0009134056,0.0006733449,0.00078059814,0.0005667916,0.0004015396],"domain_scores_gemma":[0.9982087,0.00048320417,0.00037770194,0.0006923725,0.00014746249,0.00009055579],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006641125,0.00034081432,0.00038979301,0.00019470623,0.0001823841,0.00028212953,0.0004931327,0.00019155073,0.00002471254],"category_scores_gemma":[0.00057252095,0.00029101348,0.00013975993,0.0006358777,0.00021197705,0.00018084135,0.00029658293,0.0007796003,0.0000034614525],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024653358,0.00023111347,0.004236133,0.00016255482,0.000012885488,0.00009625648,0.00008560916,0.0014359333,0.99200094,0.0016728336,0.00003699746,0.0000040988843],"study_design_scores_gemma":[0.000749017,0.0002217795,0.37822968,0.00027091833,0.000063344414,1.306533e-7,0.00007466789,0.02167623,0.5979591,0.000044069104,0.00012200347,0.00058904313],"about_ca_topic_score_codex":0.00008294984,"about_ca_topic_score_gemma":0.000047208283,"teacher_disagreement_score":0.3940418,"about_ca_system_score_codex":0.00012881441,"about_ca_system_score_gemma":0.00022465795,"threshold_uncertainty_score":0.9999542},"labels":[],"label_agreement":null},{"id":"W3127276849","doi":"10.1101/2021.02.01.429259","title":"Working Memory Representations in Visual Cortex Mediate the Effects of Distraction","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institutes of Health; National Eye Institute; York University","keywords":"Distraction; Working memory; Visual cortex; Psychology; Cognitive psychology; Visual memory; Neuroscience; Computer science; Cognition","score_opus":0.01624415223859006,"score_gpt":0.2495280778291185,"score_spread":0.23328392559052846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127276849","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99370503,0.00018949926,0.00037932556,0.00019585676,0.0046983147,0.00069578306,0.00001588266,0.00010403792,0.000016245762],"genre_scores_gemma":[0.9988895,0.00037687764,0.00009910568,0.00018356537,0.00023302491,0.00015492256,4.1221674e-7,0.000053937154,0.000008668977],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99742615,0.00040390407,0.0005178175,0.00086387404,0.00046020083,0.00032806458],"domain_scores_gemma":[0.99765754,0.00083376636,0.0005300646,0.00076554134,0.0001243329,0.00008877594],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038578088,0.00030286668,0.0003673048,0.00020273699,0.00015498274,0.00018538353,0.0003792824,0.0002458877,0.000014943051],"category_scores_gemma":[0.0018053704,0.00027099624,0.00014634847,0.00081483356,0.00015046285,0.00017040814,0.00036434413,0.0008677897,0.000007020187],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019210127,0.00014723366,0.0036199822,0.0002229122,0.000015415633,0.00010727572,0.000018736077,0.0002288066,0.9953986,0.00019091116,0.000020009753,0.000010946487],"study_design_scores_gemma":[0.00028894452,0.00003385551,0.2742864,0.0004330388,0.000049619837,4.0334108e-8,0.000009400658,0.0031524415,0.72140396,0.0000040856416,0.00006337194,0.0002748714],"about_ca_topic_score_codex":0.00009213969,"about_ca_topic_score_gemma":0.000024877378,"teacher_disagreement_score":0.27399462,"about_ca_system_score_codex":0.00014915093,"about_ca_system_score_gemma":0.00024051908,"threshold_uncertainty_score":0.99997425},"labels":[],"label_agreement":null},{"id":"W3127477784","doi":"10.1016/j.celrep.2021.108696","title":"Gamma frequency activation of inhibitory neurons in the acute phase after stroke attenuates vascular and behavioral dysfunction","year":2021,"lang":"en","type":"article","venue":"Cell Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; University of British Columbia","funders":"Canadian Institutes of Health Research; Fondation Leducq; Michael Smith Health Research BC; Fondation Brain Canada; Heart and Stroke Foundation of Canada","keywords":"Optogenetics; Stroke (engine); Neuroprotection; Neuroscience; Stimulation; Forelimb; Inhibitory postsynaptic potential; Medicine; Motor cortex; Lesion; Stroke recovery; Biology; Rehabilitation; Pathology","score_opus":0.019745350690362335,"score_gpt":0.2597793020312163,"score_spread":0.24003395134085395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127477784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987941,0.000036117686,0.000105272135,0.00015614042,0.0003599501,0.0001775521,0.0000069488487,0.000014153402,0.00034976183],"genre_scores_gemma":[0.9994214,0.000046244062,0.000027258267,0.00021262327,0.000038334074,0.000026279173,0.000014339183,0.000010236463,0.00020327042],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99890774,0.00011188652,0.0002695428,0.00034052285,0.0002402054,0.00013007961],"domain_scores_gemma":[0.9994382,0.000060928884,0.00015523488,0.00027819263,0.00003812893,0.00002926395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015193896,0.00009810491,0.00010850381,0.0000628196,0.00005912574,0.000038795934,0.000037017413,0.0000500312,0.000024610277],"category_scores_gemma":[0.00007879854,0.00007747781,0.000059302045,0.0001994238,0.00005795495,0.00021760189,0.0000332548,0.00015497662,9.623985e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017645893,0.00023106961,0.0061641396,0.000013220524,0.0000016502938,0.00094383355,0.0001248892,0.000012844147,0.9907261,0.000013813866,0.00004109752,0.0017096883],"study_design_scores_gemma":[0.00044355824,0.00020277672,0.025963226,0.000019547742,0.000050300085,0.00029045736,0.00008742642,0.00031382975,0.9717032,0.00032748058,0.0004783032,0.00011990125],"about_ca_topic_score_codex":0.000035545738,"about_ca_topic_score_gemma":0.0000139664335,"teacher_disagreement_score":0.019799087,"about_ca_system_score_codex":0.000019422081,"about_ca_system_score_gemma":0.00003604562,"threshold_uncertainty_score":0.31594536},"labels":[],"label_agreement":null},{"id":"W3127636257","doi":"10.1101/2021.01.30.428901","title":"Functional Architecture of Executive Control and Associated Event-Related Potentials","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Canadian Institutes of Health Research; Vanderbilt University","keywords":"Neuroscience; Saccade; Psychology; Electrophysiology; Electroencephalography; Local field potential; Spike (software development); Stimulus (psychology); Computer science; Cognitive psychology; Eye movement","score_opus":0.011395851236558728,"score_gpt":0.20558905198501046,"score_spread":0.19419320074845173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127636257","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927153,0.00034343015,0.0033553056,0.00039331152,0.0018213626,0.0006263511,0.00055486994,0.00017866143,0.000011389827],"genre_scores_gemma":[0.99913394,0.00012634987,0.00011866272,0.00036918634,0.00009987671,0.00005481848,0.0000012419007,0.00006954729,0.000026387861],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99693453,0.00046375016,0.0006098999,0.0010766663,0.0005177045,0.00039743693],"domain_scores_gemma":[0.99789464,0.00027904953,0.0007214215,0.0005350328,0.00039658335,0.0001732472],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000436905,0.00044279866,0.0006523579,0.0002332929,0.00017738213,0.00016306217,0.00024439336,0.0005343049,0.00006355304],"category_scores_gemma":[0.0012990116,0.00044809302,0.00022339114,0.00051031914,0.00020882535,0.000119615346,0.00032362097,0.00088623987,0.000006138242],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058339207,0.00015396907,0.00093801256,0.00009809571,0.00013072166,0.000057165496,0.000007712162,0.00083429826,0.9970361,0.00059687474,0.000085629326,0.0000030923],"study_design_scores_gemma":[0.0022359078,0.00015493148,0.2218306,0.0005854847,0.00032686797,2.2503133e-7,0.000005256802,0.0059002866,0.7677682,0.000056222765,0.00019694527,0.0009390772],"about_ca_topic_score_codex":0.000026295977,"about_ca_topic_score_gemma":0.0000024180038,"teacher_disagreement_score":0.22926791,"about_ca_system_score_codex":0.00012207638,"about_ca_system_score_gemma":0.00032519185,"threshold_uncertainty_score":0.9997971},"labels":[],"label_agreement":null},{"id":"W3128021237","doi":"10.1016/b978-0-12-819818-6.00006-6","title":"Schizophrenia and Alzheimer’s disease","year":2021,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Neuroscience; Psychology; Precuneus; Default mode network; Salience (neuroscience); Schizophrenia (object-oriented programming); Thalamus; Insula; Audiology; Functional magnetic resonance imaging; Medicine; Psychiatry","score_opus":0.03187753170728192,"score_gpt":0.2464125581242187,"score_spread":0.21453502641693678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128021237","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00026443045,0.0014373674,0.0000010567239,0.00015597965,0.00045406507,0.00029396146,0.0000473623,0.00008997654,0.9972558],"genre_scores_gemma":[0.0036022174,0.0002561619,0.00004652579,0.0010672167,0.00022469817,0.000013193557,0.000010066082,0.000118922544,0.994661],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986744,0.000027377124,0.00019789138,0.0006677814,0.00024230985,0.00019026606],"domain_scores_gemma":[0.99916387,0.000068735695,0.000120189994,0.00039400312,0.000021523014,0.00023165268],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000044757016,0.000303451,0.00026497588,0.00009127467,0.00012124547,0.00009457534,0.00013330691,0.00012290421,0.0005183934],"category_scores_gemma":[0.000051278992,0.0002809038,0.00012471639,0.000011141326,0.00015613169,0.000034430184,0.00017916111,0.0002919596,0.00019336278],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028508997,0.0000043235054,0.0000015536822,0.000020875324,0.0000135224645,0.00022264812,0.0000057018005,1.6911805e-7,0.0015620077,0.078830004,0.000117141644,0.91919357],"study_design_scores_gemma":[0.00020614723,0.000027026628,0.000041013875,0.00016366056,0.000135357,0.00003307517,4.6685733e-7,0.00006122819,0.0003487093,0.0151949385,0.9834292,0.00035920803],"about_ca_topic_score_codex":1.0001311e-7,"about_ca_topic_score_gemma":0.0000042366582,"teacher_disagreement_score":0.983312,"about_ca_system_score_codex":0.00001403553,"about_ca_system_score_gemma":0.00006671859,"threshold_uncertainty_score":0.9999643},"labels":[],"label_agreement":null},{"id":"W3128477822","doi":"10.1101/2021.02.11.430646","title":"Comprehensive imaging of synaptic activity reveals dendritic growth rules that cluster inputs","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Synaptogenesis; Stimulus (psychology); Neuron; Synaptic plasticity; Sensory system; Calcium imaging; Receptive field; Biology; Psychology; Chemistry","score_opus":0.025001696202797005,"score_gpt":0.2337403913441493,"score_spread":0.2087386951413523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128477822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99413055,0.00029834206,0.0017129321,0.00053293543,0.0021332854,0.0006650637,0.0002756901,0.00023927692,0.000011940485],"genre_scores_gemma":[0.99735886,0.00027436574,0.00083707744,0.0011482612,0.00017878052,0.000076951095,4.667319e-7,0.00012092486,0.000004286379],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99620616,0.00054312876,0.00051925745,0.0014860645,0.0006283524,0.0006170091],"domain_scores_gemma":[0.9968746,0.00049602514,0.0006610206,0.0011930409,0.0005576763,0.00021766117],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030329454,0.0006149052,0.00083432236,0.00032938583,0.00020138489,0.0003399948,0.0005917387,0.00032424746,0.000030359399],"category_scores_gemma":[0.0007475458,0.0006589758,0.00028457475,0.00046875884,0.00028687855,0.0004161661,0.0011043864,0.0009602759,0.000032107637],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003414407,0.00014778602,0.0065488364,0.0010037349,0.000045295026,0.0001659531,0.000009619466,0.00004874781,0.9915862,0.00035065596,0.000056659366,0.0000023635805],"study_design_scores_gemma":[0.0004143408,0.000036429115,0.10538977,0.00079938135,0.000110136105,3.115713e-7,0.0000026835871,0.0042106975,0.88822085,0.000015529873,0.000082338694,0.00071756454],"about_ca_topic_score_codex":0.00006475871,"about_ca_topic_score_gemma":0.0000019469858,"teacher_disagreement_score":0.103365384,"about_ca_system_score_codex":0.00022620958,"about_ca_system_score_gemma":0.00027804202,"threshold_uncertainty_score":0.99958616},"labels":[],"label_agreement":null},{"id":"W3128917799","doi":"10.1016/b978-0-12-819818-6.00004-2","title":"Neural spike-firing synchrony and population activity","year":2021,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Local field potential; Neuroscience; Population; Rhythm; Correlation; Spike (software development); Neural activity; Neuronal firing; Physics; Electrophysiology; Psychology; Computer science; Mathematics; Medicine; Acoustics","score_opus":0.02610408133322777,"score_gpt":0.24555640027920833,"score_spread":0.21945231894598055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128917799","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07472954,0.00024364302,0.0000070294172,0.00018910575,0.0011386545,0.000443243,0.000029627374,0.000116379095,0.9231028],"genre_scores_gemma":[0.34928054,0.00006450935,0.000018588798,0.000378766,0.00023208202,0.0000078469275,0.000010764728,0.000054637476,0.6499523],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984084,0.00004985628,0.00023900761,0.00074181316,0.0003138702,0.00024705185],"domain_scores_gemma":[0.9992129,0.000090433314,0.0002094242,0.0003533898,0.000029520577,0.00010429354],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009243466,0.00034451135,0.0003620541,0.00010655923,0.00021579092,0.00013983286,0.000121050136,0.00021914933,0.00008826463],"category_scores_gemma":[0.0000672336,0.00033590395,0.00014065253,0.00001739895,0.00008826126,0.00012029368,0.00019693271,0.00050408253,0.000022030645],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012865907,0.0000045584534,0.000014234723,0.00006408062,0.0000058351015,0.00007082997,0.000012490673,0.0000042536044,0.019779123,0.005559496,0.000006228692,0.974466],"study_design_scores_gemma":[0.0016031184,0.0006399293,0.012474629,0.0016730658,0.0004482886,0.0010904304,0.0000065473373,0.015540576,0.015984885,0.043050658,0.90352637,0.0039615175],"about_ca_topic_score_codex":0.000002365923,"about_ca_topic_score_gemma":0.000032868826,"teacher_disagreement_score":0.97050446,"about_ca_system_score_codex":0.00008404018,"about_ca_system_score_gemma":0.000028506272,"threshold_uncertainty_score":0.9999093},"labels":[],"label_agreement":null},{"id":"W3128946177","doi":"10.1101/2021.02.02.429418","title":"Alpha oscillations shape sensory representation and perceptual sensitivity","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Columbia College","funders":"China Scholarship Council; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; European Commission","keywords":"Sensory system; Perception; Stimulus (psychology); Alpha rhythm; Representation (politics); Alpha (finance); Visual perception; Neural activity","score_opus":0.03634982659917375,"score_gpt":0.25052761937239176,"score_spread":0.21417779277321802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128946177","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99570626,0.00010805422,0.0009233337,0.00052806846,0.0016498256,0.00049967394,0.0002151495,0.00034757558,0.00002203035],"genre_scores_gemma":[0.99759936,0.00030831352,0.0009290433,0.0006511877,0.0003684895,0.000041147767,8.19922e-7,0.00008097478,0.000020677317],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9966685,0.0005184314,0.00039866997,0.0015410135,0.00046278426,0.00041058604],"domain_scores_gemma":[0.9979645,0.00034825527,0.00029093493,0.0008806027,0.00028891762,0.00022677184],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003834609,0.00043059158,0.00042419045,0.00021451635,0.00037584093,0.00050993793,0.00015376155,0.0003714006,0.00006872701],"category_scores_gemma":[0.0011857925,0.0004843272,0.0001436734,0.00047494378,0.00021875327,0.0003381494,0.0005800122,0.0007244788,0.000032783522],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013752456,0.00006120546,0.0021920106,0.00008106557,0.000016701524,0.00019457606,0.000021577758,0.00021103698,0.9964711,0.00066252856,0.00006247729,0.000011957647],"study_design_scores_gemma":[0.0004520008,0.00005216306,0.2901851,0.00018682063,0.00011081847,7.585933e-7,0.00002550197,0.07306507,0.63427925,0.000005691049,0.00060627895,0.0010305229],"about_ca_topic_score_codex":0.000055005206,"about_ca_topic_score_gemma":0.000008595985,"teacher_disagreement_score":0.36219183,"about_ca_system_score_codex":0.0001442093,"about_ca_system_score_gemma":0.00022281079,"threshold_uncertainty_score":0.99976087},"labels":[],"label_agreement":null},{"id":"W3130459972","doi":"10.3791/61976","title":"Electrocorticographic Recording of Cerebral Cortex Areas Manipulated Using an Adeno-Associated Virus Targeting Cofilin in Mice","year":2021,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Canadian Sleep & Circadian Network","funders":"","keywords":"Neuroscience; Wakefulness; Cofilin; Sleep deprivation; Cerebral cortex; Medicine; Sleep (system call); Cortex (anatomy); Motor cortex; Electroencephalography; Biology; Stimulation; Cell; Computer science; Cognition","score_opus":0.05676546006799762,"score_gpt":0.3876828840561386,"score_spread":0.330917423988141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130459972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987028,0.00020645834,0.0003007425,0.000019787249,0.00058689935,0.00012348573,0.0000050243234,0.000016804772,0.000037973263],"genre_scores_gemma":[0.999114,0.00008566176,0.0005014808,0.00017331046,0.000057210247,0.0000016091172,0.000008393066,0.0000333157,0.000025019604],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9972087,0.0005408241,0.0010807477,0.00030540937,0.0004960888,0.00036819247],"domain_scores_gemma":[0.9983022,0.00011830844,0.0011163526,0.00010593274,0.00022821312,0.00012894296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042143205,0.00019150664,0.0004859218,0.00034719397,0.00010962783,0.000067433284,0.00018460891,0.00011059076,0.00009129353],"category_scores_gemma":[0.0005557901,0.00018899457,0.000179595,0.0009549263,0.000042289605,0.0004703603,0.000057362962,0.00033200957,0.0000010017991],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003244699,0.00086854823,0.0059329034,0.000010513561,0.00003176079,0.00021223191,0.00020631553,0.00014609302,0.9920734,0.000056194698,0.00001171692,0.0001258606],"study_design_scores_gemma":[0.0021298833,0.0004000095,0.0045443214,0.00016646471,0.000033212524,0.00015036992,0.00027893015,0.028659426,0.96324575,0.00019778217,0.000010285099,0.00018358848],"about_ca_topic_score_codex":0.00013413711,"about_ca_topic_score_gemma":0.000020649662,"teacher_disagreement_score":0.028827664,"about_ca_system_score_codex":0.00018685315,"about_ca_system_score_gemma":0.00012453299,"threshold_uncertainty_score":0.7706975},"labels":[],"label_agreement":null},{"id":"W3130460606","doi":"10.1101/2021.02.20.432128","title":"Microstates and power envelope hidden Markov modeling probe bursting brain activity at different timescales","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fonds De La Recherche Scientifique - FNRS; National Institute for Health and Care Research; Fonds Erasme; Canadian Centre for Applied Research in Cancer Control; Medical Research Council; University of Warwick; Wellcome Trust","keywords":"Hidden Markov model; Ministate; Electroencephalography; Magnetoencephalography; Pattern recognition (psychology); Bursting; Artificial intelligence; Computer science; Electrophysiology; Neuroscience; Speech recognition; Psychology","score_opus":0.018599675302683156,"score_gpt":0.21974797046134825,"score_spread":0.20114829515866509,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130460606","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945266,0.00033058066,0.0018274084,0.001006134,0.001052185,0.00073962566,0.00017297064,0.00033415915,0.000010324159],"genre_scores_gemma":[0.997305,0.00027585414,0.0014777471,0.00049257843,0.00014909926,0.00009854668,7.4961116e-7,0.00014889629,0.00005154772],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99610525,0.00032674536,0.00048235603,0.0018958433,0.00047169285,0.00071808975],"domain_scores_gemma":[0.99791414,0.00032142331,0.00038191662,0.0008850445,0.00019945428,0.0002980348],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00035722833,0.000735991,0.00066135736,0.0002044474,0.00048487086,0.00070123264,0.00041802126,0.0004341317,0.000051248422],"category_scores_gemma":[0.0008073653,0.00072200614,0.00016843308,0.0003215858,0.00016599167,0.00029011027,0.0018743104,0.0009383867,0.000014058497],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058302852,0.000112330905,0.0027111557,0.0002848208,0.000029865407,0.000086037144,0.00002562245,0.00009704205,0.9964584,0.000058305377,0.00005819878,0.00001989137],"study_design_scores_gemma":[0.00046062423,0.0000619755,0.032711126,0.0005671882,0.00005923529,3.0078183e-7,0.000005404021,0.045540016,0.91925764,0.000007028819,0.00019188767,0.0011375586],"about_ca_topic_score_codex":0.000043498498,"about_ca_topic_score_gemma":0.000008552688,"teacher_disagreement_score":0.07720077,"about_ca_system_score_codex":0.0003711342,"about_ca_system_score_gemma":0.00016979914,"threshold_uncertainty_score":0.9995231},"labels":[],"label_agreement":null},{"id":"W3130584323","doi":"10.3389/fnins.2021.600543","title":"Optimal Approach for Signal Detection in Steady-State Visual Evoked Potentials in Humans Using Single-Channel EEG and Stereoscopic Stimuli","year":2021,"lang":"en","type":"article","venue":"Frontiers in Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University; New York University Abu Dhabi; Nvidia; Wellcome Trust; Wellcome","keywords":"Electroencephalography; Computer science; Spectral density; Stereoscopy; Evoked potential; Pattern recognition (psychology); Artificial intelligence; Stimulus (psychology); Visual evoked potentials; SIGNAL (programming language); Channel (broadcasting); Speech recognition; Neuroscience; Psychology","score_opus":0.05157986527707291,"score_gpt":0.27951782659228186,"score_spread":0.22793796131520894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130584323","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7407085,0.000041442025,0.25759158,0.000030388237,0.0011250292,0.00044034715,0.000012377749,0.00002128969,0.000029087621],"genre_scores_gemma":[0.995187,0.00003081887,0.0042739823,0.00026150123,0.00002455548,0.000035310186,0.000002303932,0.0000243509,0.00016020027],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973373,0.00026753647,0.00042995135,0.0010867866,0.00030837016,0.0005700984],"domain_scores_gemma":[0.9995022,0.00008732004,0.0001285393,0.00016446956,0.00003216391,0.00008535359],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037835227,0.0002189745,0.0003029886,0.0004912057,0.0001912122,0.00020049742,0.00021384022,0.000081392674,0.0000012207228],"category_scores_gemma":[0.00042480536,0.00023762122,0.000048207992,0.0011452453,0.00024262612,0.0005900508,0.00014066849,0.00027987518,2.005379e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010845761,0.00023692785,0.0027474733,0.000051012154,4.379169e-7,0.000067406,0.00021774607,0.061788283,0.93239135,0.000010700542,0.0000048337383,0.0023753701],"study_design_scores_gemma":[0.0010548012,0.00029385544,0.01070419,0.000046124045,0.000004489902,0.000026815953,0.00022594002,0.9094276,0.07760916,0.0003431914,0.000021387843,0.0002424428],"about_ca_topic_score_codex":0.00003086177,"about_ca_topic_score_gemma":0.00004114149,"teacher_disagreement_score":0.85478216,"about_ca_system_score_codex":0.0001553709,"about_ca_system_score_gemma":0.00007948299,"threshold_uncertainty_score":0.9689912},"labels":[],"label_agreement":null},{"id":"W3131857912","doi":"10.1101/2020.07.31.231563","title":"Reaching for known unknowns: Rapid reach decisions accurately reflect the future state of dynamic probabilistic information","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Women and Children’s Health Research Institute; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Killam Trusts","keywords":"Probabilistic logic; Stimulus (psychology); Computer science; Cognitive psychology; Psychology; Artificial intelligence; Human–computer interaction","score_opus":0.04194376379984393,"score_gpt":0.2716356633011326,"score_spread":0.22969189950128865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3131857912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96601504,0.00038155753,0.019081382,0.0029595608,0.0043760007,0.0045385147,0.0020497267,0.0005686819,0.000029550532],"genre_scores_gemma":[0.9958682,0.0006899384,0.0021035539,0.00057417614,0.0002772684,0.00038922092,0.0000036635847,0.000089192414,0.0000047627336],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99665076,0.00033370292,0.0010154399,0.00091345754,0.0005691105,0.0005175428],"domain_scores_gemma":[0.9960029,0.0008923964,0.0011062991,0.0012755137,0.00053911493,0.00018378295],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00091800746,0.00055551785,0.0005796467,0.00026929696,0.00044706848,0.0003878389,0.0010387648,0.00030562567,0.000007471919],"category_scores_gemma":[0.0041397233,0.00042900397,0.00028221388,0.0008850089,0.00016448229,0.00056715484,0.0005456629,0.0011074436,0.000024625104],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024106298,0.00007939533,0.000013511008,0.00050515065,0.00004208263,0.0000058463156,0.00006603532,0.0007394278,0.99432164,0.0030661088,0.00034250127,0.0005772386],"study_design_scores_gemma":[0.003177393,0.0013966059,0.029913044,0.0021587398,0.00068818335,5.101736e-7,0.000046321304,0.2848415,0.58587754,0.0020381133,0.086152844,0.0037092364],"about_ca_topic_score_codex":0.000013397018,"about_ca_topic_score_gemma":0.000008019696,"teacher_disagreement_score":0.40844414,"about_ca_system_score_codex":0.00030355694,"about_ca_system_score_gemma":0.0005727473,"threshold_uncertainty_score":0.9998162},"labels":[],"label_agreement":null},{"id":"W3132476421","doi":"10.1186/s13408-021-00104-4","title":"Estimating Fisher discriminant error in a linear integrator model of neural population activity","year":2021,"lang":"en","type":"article","venue":"The Journal of Mathematical Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Decoding methods; Linear discriminant analysis; Computer science; Noise (video); Integrator; Population; Algorithm; Constant (computer programming); Artificial intelligence; Pattern recognition (psychology); Telecommunications","score_opus":0.08773449437907796,"score_gpt":0.32265063996104854,"score_spread":0.23491614558197058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3132476421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9622494,0.0000031816016,0.036194444,0.001018726,0.0003712755,0.000086654436,0.0000027103715,0.0000072559515,0.000066363405],"genre_scores_gemma":[0.99739707,0.000006538181,0.0021764238,0.00027852925,0.000027362794,0.0000010461822,8.053001e-8,0.000009793288,0.00010313565],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99826777,0.00030823445,0.0005110384,0.00017079823,0.00054037897,0.00020180814],"domain_scores_gemma":[0.9986616,0.00059329154,0.00040733314,0.00019099223,0.000078931116,0.000067854955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007313009,0.00011643216,0.00026149227,0.000078574776,0.00010401047,0.00003546675,0.00034561183,0.000032161173,0.000008255019],"category_scores_gemma":[0.005186126,0.000067817025,0.00009250806,0.00047584946,0.00016859378,0.0004140795,0.000116390125,0.0004237778,0.0000011130568],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050126695,0.00019909022,0.00015139731,0.00004149384,4.335179e-7,0.000022978418,0.00019906247,0.07074702,0.92667097,0.0010326521,0.0000064352716,0.0008783498],"study_design_scores_gemma":[0.0001468955,0.00012701856,0.0019800619,0.00007795118,0.000013413189,0.00026072972,0.00003766699,0.9273161,0.06059073,0.009385129,9.607486e-7,0.00006334154],"about_ca_topic_score_codex":0.000004611562,"about_ca_topic_score_gemma":0.0000041222547,"teacher_disagreement_score":0.8660802,"about_ca_system_score_codex":0.00002848791,"about_ca_system_score_gemma":0.000056495643,"threshold_uncertainty_score":0.6208652},"labels":[],"label_agreement":null},{"id":"W3132857765","doi":"10.1101/2021.02.17.431698","title":"Reduced inhibition in depression impairs stimulus processing in human cortical microcircuits","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; University of Toronto; Centre for Addiction and Mental Health","funders":"Krembil Foundation; University of Toronto","keywords":"Neuroscience; Inhibitory postsynaptic potential; Excitatory postsynaptic potential; Human brain; Stimulus (psychology); Psychology; Somatostatin; Premovement neuronal activity; Interneuron; Electrophysiology; Cognition; Biology","score_opus":0.02237362136363147,"score_gpt":0.25079912624164474,"score_spread":0.22842550487801327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3132857765","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99778926,0.00018770262,0.00033569807,0.0000894555,0.00065396726,0.00069212983,0.00002463084,0.00021591187,0.000011226419],"genre_scores_gemma":[0.9990651,0.000044667693,0.00020305898,0.00027925908,0.00015481887,0.00015114923,8.68529e-7,0.000098353856,0.0000026949212],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9961788,0.00037438824,0.0007715775,0.0015733894,0.00044996204,0.000651883],"domain_scores_gemma":[0.9985785,0.00008007691,0.00035910832,0.00063495326,0.0001599433,0.00018742551],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005098285,0.00048120448,0.00053413794,0.00050421554,0.0002625006,0.0005254096,0.0002624945,0.0005581726,0.000022222128],"category_scores_gemma":[0.0007004632,0.0005366956,0.00011169645,0.0010292217,0.00014616444,0.00035914787,0.00048965163,0.0015875545,0.000008548597],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026883423,0.00028629028,0.006607497,0.00029321405,0.0000021855808,0.00051662093,0.000026649175,0.0004917702,0.99166626,0.000061071936,0.000009289651,0.000012277248],"study_design_scores_gemma":[0.00063219416,0.00003326216,0.20022695,0.0012877588,0.000015001888,1.3967933e-7,0.0000052676082,0.006128327,0.7911282,0.000005782426,0.000016649958,0.0005204674],"about_ca_topic_score_codex":0.000076755285,"about_ca_topic_score_gemma":0.000026810843,"teacher_disagreement_score":0.20053804,"about_ca_system_score_codex":0.0005514372,"about_ca_system_score_gemma":0.00053790485,"threshold_uncertainty_score":0.9997085},"labels":[],"label_agreement":null},{"id":"W3133293989","doi":"10.3390/biophysica1010004","title":"Nervous Activity of the Brain in Five Dimensions","year":2021,"lang":"en","type":"article","venue":"Biophysica","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg; University of Manitoba","funders":"","keywords":"Electroencephalography; Quaternion; Computer science; Fractal dimension; SIGNAL (programming language); Visualization; Fractal; Mathematics; Pattern recognition (psychology); Mathematical analysis; Artificial intelligence; Geometry; Neuroscience; Psychology","score_opus":0.019678975467197612,"score_gpt":0.24451371522612766,"score_spread":0.22483473975893006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133293989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99585,0.0000025581835,0.0000050086273,0.0029930626,0.00023465969,0.000061872444,0.000011608961,0.000009035853,0.00083218585],"genre_scores_gemma":[0.99821377,0.0000035228047,0.0000073360075,0.00064738153,0.00002268922,0.0000029242146,3.861873e-7,0.000004315244,0.0010976783],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994859,0.00009133615,0.000059677965,0.00016806088,0.000105262676,0.00008977234],"domain_scores_gemma":[0.9995467,0.00017305206,0.000040942068,0.00021003408,0.000014113436,0.000015151064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000023257346,0.000048052814,0.00007338989,0.000014328274,0.00005108954,0.000007786422,0.00008613859,0.000019025792,0.000007235417],"category_scores_gemma":[0.0002309578,0.000033301545,0.000056708137,0.00038007626,0.000053421834,0.0000468206,0.00009592564,0.0000849358,0.0000089638315],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006413321,0.000091884904,0.00005011124,0.0000032006321,5.5868236e-7,0.0000067995375,0.000037358655,0.000042225885,0.9951171,0.002867371,0.00016620007,0.001610759],"study_design_scores_gemma":[0.000105234765,0.000021231419,0.03482359,0.000010474167,0.0000018111286,0.0000028729041,0.000008097599,0.0020333354,0.9614082,0.0011620143,0.0003792249,0.00004390231],"about_ca_topic_score_codex":0.000043490963,"about_ca_topic_score_gemma":0.000028659359,"teacher_disagreement_score":0.034773476,"about_ca_system_score_codex":0.000012834509,"about_ca_system_score_gemma":0.000030931118,"threshold_uncertainty_score":0.13579975},"labels":[],"label_agreement":null},{"id":"W3133302233","doi":"10.1101/2021.02.18.431851","title":"Burst coding despite unimodal interval distributions","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Burstiness; Neural coding; Coding (social sciences); Spike (software development); Salient; Computer science; Bivariate analysis; Interval (graph theory); Information transmission; Information theory; Probability distribution; Pattern recognition (psychology); Artificial intelligence; Statistics; Mathematics; Machine learning","score_opus":0.025066729821255535,"score_gpt":0.23513152039713986,"score_spread":0.2100647905758843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133302233","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97898364,0.00012555734,0.01439438,0.000645152,0.0040278486,0.00048185795,0.000777142,0.00054079323,0.000023648796],"genre_scores_gemma":[0.9979014,0.00018782828,0.0007331276,0.00048531752,0.00046097583,0.000108710345,0.000001821267,0.000104905914,0.000015942038],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9965607,0.00026822602,0.0005474036,0.0014667189,0.0004770945,0.0006798449],"domain_scores_gemma":[0.9976414,0.0001743298,0.00037366457,0.0011862722,0.00031648774,0.00030784242],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034966113,0.00056401495,0.0005239699,0.00021764313,0.00043113457,0.0007859843,0.0007066351,0.0004314158,0.00008524757],"category_scores_gemma":[0.0010420738,0.00061818236,0.00029147274,0.0007700003,0.00020620303,0.00030154415,0.0010763761,0.0012148445,0.00006801388],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017340182,0.00013499422,0.0009302513,0.00014057528,0.000026823112,0.00018646734,0.0000043263008,0.00009113354,0.992581,0.005755752,0.00012853152,0.0000027808583],"study_design_scores_gemma":[0.0004500541,0.000080480895,0.033012755,0.0006077687,0.00011514646,1.6633454e-7,0.0000046922178,0.008326925,0.9520413,0.000012223067,0.0041886237,0.00115981],"about_ca_topic_score_codex":0.000039204388,"about_ca_topic_score_gemma":0.000004321993,"teacher_disagreement_score":0.04053967,"about_ca_system_score_codex":0.0004383241,"about_ca_system_score_gemma":0.00042017057,"threshold_uncertainty_score":0.99962693},"labels":[],"label_agreement":null},{"id":"W3133538555","doi":"10.1038/s41562-021-01073-0","title":"The representational dynamics of perceived voice emotions evolve from categories to dimensions","year":2021,"lang":"en","type":"article","venue":"Nature Human Behaviour","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":54,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Bell (Canada)","funders":"Biotechnology and Biological Sciences Research Council; Directorate for Biological Sciences; Research Councils UK; Fondation pour la Recherche Médicale; Agence Nationale de la Recherche; Aix-Marseille Université","keywords":"Psychology; Perception; Functional magnetic resonance imaging; Cognitive psychology; Anger; Emotion perception; Dynamics (music); Categorical perception; Speech perception; Social psychology; Neuroscience","score_opus":0.023629083202813175,"score_gpt":0.30275945230749685,"score_spread":0.2791303691046837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133538555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948024,0.000031553944,0.0000825957,0.0031569568,0.0008686337,0.00016197737,0.00030318592,0.000040908897,0.00055174384],"genre_scores_gemma":[0.99529886,0.00001232532,0.00018567857,0.0005338397,0.000090232075,0.000013469089,0.00021203647,0.000016386151,0.0036371714],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99870497,0.00011463422,0.00022298895,0.00039616728,0.0003844612,0.00017678748],"domain_scores_gemma":[0.99879,0.00038094565,0.00009007759,0.00041407035,0.00024936674,0.00007552409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000698596,0.00011902135,0.00012288771,0.000051947172,0.00069967145,0.000085495376,0.00022902348,0.00013417938,0.00009396959],"category_scores_gemma":[0.0005334963,0.0000931077,0.00009876096,0.00033532336,0.000104429244,0.00010062236,0.00013499976,0.0004968656,0.000020320958],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002521656,0.00020411074,0.024505675,0.0000038132225,0.000011916816,0.00005093967,0.00051273813,0.00018696634,0.87892944,0.09207335,0.0031720353,0.00032379138],"study_design_scores_gemma":[0.00025340277,0.00005741014,0.97029495,0.000018856514,0.000051631465,0.000019477284,0.0006205996,0.0010663463,0.015130167,0.011687321,0.0006217138,0.00017810965],"about_ca_topic_score_codex":0.0001386669,"about_ca_topic_score_gemma":0.0019765827,"teacher_disagreement_score":0.9457893,"about_ca_system_score_codex":0.00006974978,"about_ca_system_score_gemma":0.000056425728,"threshold_uncertainty_score":0.5381378},"labels":[],"label_agreement":null},{"id":"W3133665310","doi":"10.1523/jneurosci.2232-20.2021","title":"Population Coding of Natural Electrosensory Stimuli by Midbrain Neurons","year":2021,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Government of Canada","keywords":"Stimulus (psychology); Midbrain; Neuroscience; Population; Neural coding; Sensory system; Correlation; Decoding methods; Stimulation; Psychology; Computer science; Mathematics; Algorithm; Cognitive psychology; Central nervous system","score_opus":0.03393424614363565,"score_gpt":0.28537886022926234,"score_spread":0.2514446140856267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133665310","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960279,0.00006972917,0.0006919722,0.0011610994,0.0018542162,0.00005629675,0.000011231596,0.000013323809,0.00011423172],"genre_scores_gemma":[0.9973192,0.00011714446,0.00011307489,0.0018420058,0.000066020155,3.4584622e-7,8.7685953e-7,0.000011804739,0.0005295269],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99809843,0.00022125889,0.00048700048,0.00029692787,0.00063462066,0.00026174344],"domain_scores_gemma":[0.9987295,0.0003218277,0.0005337884,0.00016971883,0.00014479268,0.00010036485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024007751,0.0001224829,0.00022878058,0.0001375383,0.00015773473,0.00007990985,0.0003103355,0.000034194523,0.000008613216],"category_scores_gemma":[0.0027116216,0.000106141546,0.00012948425,0.00074778055,0.0001256918,0.0005315426,0.00006415092,0.00037346018,0.0000012217519],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003018196,0.000073282485,0.000664867,0.00000924232,5.846072e-7,0.00011720917,0.000016107097,0.00021602651,0.9969318,0.00053655246,0.00046777524,0.00093637704],"study_design_scores_gemma":[0.00042908455,0.00042262883,0.04300831,0.000037368285,0.000013489718,0.0016681472,0.0000150129445,0.02059277,0.9317857,0.00047244338,0.00139619,0.00015883576],"about_ca_topic_score_codex":0.00000272702,"about_ca_topic_score_gemma":0.0000015200503,"teacher_disagreement_score":0.06514607,"about_ca_system_score_codex":0.00003807863,"about_ca_system_score_gemma":0.00007955604,"threshold_uncertainty_score":0.43283266},"labels":[],"label_agreement":null},{"id":"W3133875302","doi":"10.1007/s10548-021-00829-1","title":"A Polarity Alignment Method for Group-Averaging of Event-Related Neural Signals at Source Level in MEG Beamforming Applications","year":2021,"lang":"en","type":"article","venue":"Brain Topography","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Polarity (international relations); Waveform; Beamforming; SIGNAL (programming language); Pattern recognition (psychology); Computer science; Artificial intelligence; Magnetoencephalography; Speech recognition; Electroencephalography; Neuroscience; Psychology; Telecommunications; Chemistry","score_opus":0.03229645585835576,"score_gpt":0.2978775330993473,"score_spread":0.2655810772409915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133875302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5581583,0.00016323205,0.43730208,0.0025624847,0.00021780144,0.0011443421,0.00014228607,0.00007794288,0.00023156205],"genre_scores_gemma":[0.9898812,0.000016979511,0.0075800163,0.001756762,0.000033715376,0.00020931016,0.000052296735,0.000028468969,0.00044124114],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981399,0.0002324771,0.00047033673,0.00055401784,0.00026234015,0.00034090184],"domain_scores_gemma":[0.9984893,0.000891983,0.00020194711,0.0002877554,0.00004975162,0.000079222154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005410198,0.00017172836,0.00025556434,0.00026402628,0.00022115825,0.000035855956,0.0001883804,0.0000872178,0.000026331621],"category_scores_gemma":[0.00021751999,0.00017676289,0.00028895735,0.0011047317,0.0000630845,0.00014547116,0.00013258708,0.000157994,0.0000014082502],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003334019,0.00017886123,0.0022270097,0.000056927227,0.000015028121,0.0000045357424,0.00021930881,0.0017976788,0.9671003,0.0073680235,0.00007095764,0.020927994],"study_design_scores_gemma":[0.0035422917,0.00034695552,0.016312335,0.00013240371,0.00008936976,0.00014838499,0.00045170425,0.20456424,0.71126693,0.031911794,0.030291922,0.00094166555],"about_ca_topic_score_codex":0.000080868835,"about_ca_topic_score_gemma":0.00009173191,"teacher_disagreement_score":0.43172294,"about_ca_system_score_codex":0.000053317155,"about_ca_system_score_gemma":0.000023781275,"threshold_uncertainty_score":0.72081816},"labels":[],"label_agreement":null},{"id":"W3133984305","doi":"10.1007/s10827-021-00784-7","title":"The unknown but knowable relationship between Presaccadic Accumulation of activity and Saccade initiation","year":2021,"lang":"en","type":"article","venue":"Journal of Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; York University","funders":"National Eye Institute; National Institute of Mental Health; Canadian Institutes of Health Research","keywords":"Saccade; Neuroscience; Brainstem; Gaze; Psychology; Computer science; Eye movement; Artificial intelligence","score_opus":0.1431403461423382,"score_gpt":0.3530376391504902,"score_spread":0.209897293008152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133984305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97773665,0.000040709627,0.019751517,0.0018139097,0.00043752167,0.00007921415,0.000008676246,0.000007775563,0.00012402533],"genre_scores_gemma":[0.99918765,0.00004204464,0.0003524029,0.00021951886,0.00008412717,8.6653876e-7,0.0000010487264,0.000006255151,0.00010605921],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983326,0.00029587705,0.00041778607,0.00019586447,0.00062287704,0.00013500232],"domain_scores_gemma":[0.99536777,0.0035331969,0.00064024515,0.00009663657,0.00028938905,0.00007278973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049722125,0.00008599128,0.00013970389,0.00011026442,0.00042962655,0.0001389198,0.00018502244,0.000038935163,0.0000028779743],"category_scores_gemma":[0.003925573,0.00006614331,0.000060757196,0.00057703734,0.00025313548,0.00078689813,0.000066511224,0.00024979672,9.012505e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010382955,0.00012375011,0.05394273,0.00003653132,0.000004209014,0.00002347985,0.00010859109,0.13434738,0.7470241,0.05521043,0.00009879821,0.008976158],"study_design_scores_gemma":[0.00031825964,0.00014319061,0.85693663,0.00002441327,0.000014844111,0.00016585036,0.000008614386,0.06329025,0.03864616,0.03996638,0.00040799548,0.00007742886],"about_ca_topic_score_codex":0.00000168885,"about_ca_topic_score_gemma":0.000001240999,"teacher_disagreement_score":0.8029939,"about_ca_system_score_codex":0.000029955194,"about_ca_system_score_gemma":0.00022325193,"threshold_uncertainty_score":0.4699561},"labels":[],"label_agreement":null},{"id":"W3134487661","doi":"10.1016/j.neurobiolaging.2021.02.014","title":"Event-related potential evidence that very slowly presented auditory stimuli are passively processed differently in younger and older adults","year":2021,"lang":"en","type":"article","venue":"Neurobiology of Aging","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bruyère; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Audiology; Stimulus (psychology); Psychology; Salience (neuroscience); Event-related potential; Auditory stimuli; Electroencephalography; Neuroscience; Cognitive psychology; Medicine; Perception","score_opus":0.021926789547005252,"score_gpt":0.25317767483162024,"score_spread":0.231250885284615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134487661","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967029,0.00019639265,0.000070401395,0.0014951533,0.001220917,0.00023833092,0.000011787925,0.000046349476,0.000017738996],"genre_scores_gemma":[0.9989753,0.0002289163,0.000009293178,0.00048046676,0.00005085587,0.000013136088,0.0000086041955,0.000017707822,0.00021576478],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99821615,0.00033437423,0.0003002226,0.00069082284,0.00015381527,0.00030461716],"domain_scores_gemma":[0.99883336,0.00052863307,0.00030627652,0.00019355706,0.00008176429,0.00005640123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008073382,0.00018984912,0.00027747484,0.00012962548,0.00009725879,0.00003441896,0.00016493278,0.00012244613,0.000025672409],"category_scores_gemma":[0.00070501876,0.00017272071,0.00006400858,0.00027865634,0.00018651751,0.00038258638,0.00017321951,0.00034388766,0.000004045974],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018231355,0.00016226462,0.0310275,0.00018638177,0.000009820317,0.00022723543,0.00019313235,0.00028214348,0.96703887,0.000029492436,0.00010332894,0.0005575131],"study_design_scores_gemma":[0.0013972018,0.00013043774,0.8337138,0.00073154713,0.000023805032,0.00009396464,0.00015175584,0.0053740325,0.15804422,0.00011528174,0.000010622447,0.00021330423],"about_ca_topic_score_codex":0.000014193439,"about_ca_topic_score_gemma":0.000012207789,"teacher_disagreement_score":0.80899465,"about_ca_system_score_codex":0.000021391543,"about_ca_system_score_gemma":0.000050571667,"threshold_uncertainty_score":0.7043347},"labels":[],"label_agreement":null},{"id":"W3134545286","doi":"10.1038/s41467-021-21696-1","title":"Predictive learning as a network mechanism for extracting low-dimensional latent space representations","year":2021,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":84,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"Natural Sciences and Engineering Research Council of Canada; University of Oregon; Fonds de recherche du Québec – Nature et technologies; University of Washington; DeepMind; Harvard University; National Science Foundation","keywords":"Computer science; Artificial intelligence; Artificial neural network; Latent variable; Curse of dimensionality; Machine learning; Latent variable model; Task (project management); Recurrent neural network; Space (punctuation); Focus (optics); Sequence learning","score_opus":0.034857299453603455,"score_gpt":0.3220740127034992,"score_spread":0.2872167132498958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134545286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6400379,0.0043839384,0.056453917,0.22082736,0.008968812,0.005341804,0.0003926719,0.0020157916,0.06157784],"genre_scores_gemma":[0.9856467,0.00020938995,0.008938347,0.0022251147,0.00012621714,0.00012356216,0.00013789062,0.000023518327,0.0025692242],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99874544,0.0002778849,0.0001951267,0.0003494885,0.00021144023,0.0002205983],"domain_scores_gemma":[0.9965325,0.0021492043,0.00015350449,0.00077242026,0.00032601922,0.000066335495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018802368,0.000110376845,0.00011367926,0.000044847362,0.0011915712,0.000083606945,0.00035275216,0.00016247465,0.000028195605],"category_scores_gemma":[0.0036004882,0.00011353363,0.00010516637,0.00045059068,0.000057838366,0.00017989975,0.00032888434,0.0010553503,0.000019549552],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042137523,0.00017349725,0.00029632112,0.000008742627,0.000022236383,0.00000858388,0.00017454717,0.010581341,0.29651427,0.68881476,0.0028158755,0.00054764934],"study_design_scores_gemma":[0.0012226395,0.00024293804,0.0035349128,0.00019913242,0.00014193884,0.00020799627,0.0005597225,0.6998397,0.10913567,0.15312628,0.031166648,0.0006223663],"about_ca_topic_score_codex":0.0000074556174,"about_ca_topic_score_gemma":0.000060253045,"teacher_disagreement_score":0.6892584,"about_ca_system_score_codex":0.000053287895,"about_ca_system_score_gemma":0.000100671525,"threshold_uncertainty_score":0.91647226},"labels":[],"label_agreement":null},{"id":"W3134686459","doi":"10.1152/jn.00633.2020","title":"Voltage distributions in extracellular brain recordings","year":2021,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University; University of British Columbia","funders":"Canadian Institutes of Health Research; Institute of Health Services and Policy Research; Government of Canada","keywords":"Electroencephalography; Neuroscience; Electrophysiology; Neural activity; Transient (computer programming); Computer science; Physics; Pattern recognition (psychology); Artificial intelligence; Psychology","score_opus":0.0241108316096876,"score_gpt":0.2574014997315697,"score_spread":0.23329066812188212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134686459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99487096,0.000021567623,0.00093890185,0.0028803165,0.0010798248,0.000034286677,0.000008329201,0.000007819948,0.00015800912],"genre_scores_gemma":[0.99788517,0.000106174935,0.000056759403,0.0011333381,0.00015640967,8.0738545e-7,0.0000020342407,0.000010061535,0.0006492727],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99887955,0.00022094144,0.00037874928,0.00020401993,0.00012052042,0.00019623095],"domain_scores_gemma":[0.99907076,0.0004352434,0.00021788689,0.0001348146,0.00007844331,0.00006283189],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000060819257,0.000089751775,0.00021608992,0.00010150821,0.000060797363,0.000023098975,0.00015874185,0.000050092887,0.00008496645],"category_scores_gemma":[0.0016791029,0.00007833857,0.00011990934,0.00038956458,0.00006254816,0.00015103792,0.000060044575,0.00040428486,0.000018850416],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044196535,0.00009845187,0.000070337854,0.000004837184,0.0000015567074,0.001546323,0.000010972728,0.00026713684,0.993735,0.0021936835,0.0002961973,0.0017312716],"study_design_scores_gemma":[0.0025355548,0.002153209,0.0956268,0.00009907577,0.000032980828,0.006195493,0.00008052135,0.008330944,0.7499875,0.033445958,0.10095282,0.00055913813],"about_ca_topic_score_codex":0.0000020766934,"about_ca_topic_score_gemma":0.0000014971447,"teacher_disagreement_score":0.24374753,"about_ca_system_score_codex":0.000032233118,"about_ca_system_score_gemma":0.000058084443,"threshold_uncertainty_score":0.31945542},"labels":[],"label_agreement":null},{"id":"W3134775266","doi":"10.1038/s41598-021-00685-w","title":"Oscillatory visual mechanisms revealed by random temporal sampling","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Centre for Interdisciplinary Research in Rehabilitation; Institut Universitaire de Gériatrie de Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Stimulus (psychology); Pattern recognition (psychology); Artificial intelligence; Computer science; Perception; Visual perception; Cognition; Spectral density; Cognitive psychology; Neuroscience; Psychology","score_opus":0.02597538351424202,"score_gpt":0.2725529574898326,"score_spread":0.24657757397559057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134775266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9689252,0.000091613496,0.009050887,0.000325287,0.019670798,0.0002884463,0.000009604084,0.00018265324,0.001455509],"genre_scores_gemma":[0.9765252,0.000005345067,0.00048404455,0.00034282723,0.0000703139,0.000013181762,0.000059779315,0.000022644917,0.022476701],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99697226,0.00013949283,0.00050021184,0.0012577277,0.0007477931,0.0003825212],"domain_scores_gemma":[0.9987276,0.000115645016,0.00027381702,0.00059539813,0.00012575697,0.00016178474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00115825,0.00016529275,0.00022369948,0.000098633645,0.0006477301,0.0005247664,0.000115751645,0.0000745269,0.00025462688],"category_scores_gemma":[0.0010251277,0.00015064285,0.00013900994,0.0007209894,0.00015689273,0.00025418832,0.0001280249,0.00016031902,0.00005068241],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012624285,0.000057308534,0.00036332116,0.00001027417,0.0000022523675,0.0005578701,0.000025251129,0.000029493023,0.98820287,0.0004494986,0.009478872,0.0008103598],"study_design_scores_gemma":[0.00050396397,0.00004205103,0.00014318674,0.000034023575,0.000015071244,0.0008548188,0.000048648573,0.0023193941,0.8800022,0.033814583,0.08186867,0.00035337664],"about_ca_topic_score_codex":0.0000078055755,"about_ca_topic_score_gemma":0.000006563389,"teacher_disagreement_score":0.10820066,"about_ca_system_score_codex":0.00005385238,"about_ca_system_score_gemma":0.00017363341,"threshold_uncertainty_score":0.6143037},"labels":[],"label_agreement":null},{"id":"W3135085772","doi":"10.1101/2021.03.08.434355","title":"Characterizing neural phase-space trajectories via Principal Louvain Clustering","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Movement Disorders","funders":"Radboud Universitair Medisch Centrum; Radboud Universiteit","keywords":"Cluster analysis; Computer science; Dimensionality reduction; Subspace topology; Artificial intelligence; Pattern recognition (psychology); Principal (computer security); Local field potential; Prefrontal cortex; Consistency (knowledge bases); Hippocampus; Dimension (graph theory); Principal component analysis; Neuroscience; Machine learning; Psychology; Mathematics; Cognition","score_opus":0.025747489753374785,"score_gpt":0.24432172450894243,"score_spread":0.21857423475556764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135085772","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98415077,0.00016448564,0.006651658,0.00054418587,0.0066600363,0.0008307211,0.00019133087,0.000790571,0.000016273521],"genre_scores_gemma":[0.99653524,0.00014593132,0.0010008914,0.0008227893,0.001060281,0.00018073709,0.0000012627976,0.00023004973,0.000022790895],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9949661,0.00039071578,0.0007873814,0.0020872045,0.0007267253,0.0010419022],"domain_scores_gemma":[0.99701065,0.00019261347,0.00066909695,0.0014640744,0.00026429736,0.0003992561],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00047699848,0.00092710933,0.00085433736,0.00031864436,0.00046182773,0.0010242291,0.0008363566,0.0005564425,0.000084324725],"category_scores_gemma":[0.0006550686,0.0010188953,0.00033856646,0.00078336714,0.00019251349,0.0005585205,0.0011923098,0.0015485405,0.000036964684],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000074835705,0.00021459925,0.00033502618,0.0003465878,0.00003261227,0.00036170325,0.0000356837,0.00028093206,0.9981232,0.00016144046,0.000016950462,0.000016423375],"study_design_scores_gemma":[0.0009120242,0.00014296286,0.0074121812,0.00034516427,0.00008041042,4.2642128e-7,0.0000065109994,0.053567097,0.93412995,0.0000013142966,0.0021156159,0.0012863403],"about_ca_topic_score_codex":0.000049449187,"about_ca_topic_score_gemma":0.0000086161535,"teacher_disagreement_score":0.06399325,"about_ca_system_score_codex":0.00037938074,"about_ca_system_score_gemma":0.0003533196,"threshold_uncertainty_score":0.99922615},"labels":[],"label_agreement":null},{"id":"W3135602739","doi":"10.1101/2021.03.02.433627","title":"Resilience through diversity: Loss of neuronal heterogeneity in epileptogenic human tissue impairs network resilience to sudden changes in synchrony","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Ottawa; University Health Network","funders":"","keywords":"Epileptogenesis; Biological neural network; Epilepsy; Nerve net; Population; Resilience (materials science); Human brain; Process (computing); Neuronal circuits","score_opus":0.02469248617024013,"score_gpt":0.25465340384047574,"score_spread":0.2299609176702356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135602739","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99682057,0.00020612794,0.00029881918,0.00035879522,0.0011317427,0.00095237704,0.00011806594,0.00010571613,0.000007780401],"genre_scores_gemma":[0.99812853,0.0003073054,0.00054084585,0.00064194854,0.00021580569,0.00009253026,4.7304263e-7,0.00006744158,0.0000051030092],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9950103,0.0005718325,0.0007132209,0.0019938222,0.0007601351,0.00095064717],"domain_scores_gemma":[0.9975726,0.00021752068,0.0004594667,0.0013255455,0.00019433086,0.00023055],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007342492,0.0005756091,0.00080806896,0.00036299723,0.000298152,0.00014668635,0.001315173,0.00039812646,0.00003877958],"category_scores_gemma":[0.0006158701,0.0006722652,0.00013662917,0.0019205577,0.00030141743,0.00030527447,0.0034512307,0.0009287716,0.0000134594075],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060197366,0.00018476977,0.11033626,0.00022251112,0.000008670467,0.00036239444,0.000047796042,0.006824143,0.88161343,0.0002904185,0.000045079003,0.0000043148416],"study_design_scores_gemma":[0.00033731584,0.00020200487,0.48502246,0.0005639541,0.00002060602,1.1986423e-7,0.0000066228176,0.0005323553,0.51258326,0.000011429268,0.000108182125,0.00061173015],"about_ca_topic_score_codex":0.00062520866,"about_ca_topic_score_gemma":0.001218271,"teacher_disagreement_score":0.37468618,"about_ca_system_score_codex":0.00040505806,"about_ca_system_score_gemma":0.00030111847,"threshold_uncertainty_score":0.9995729},"labels":[],"label_agreement":null},{"id":"W3135974875","doi":"10.1016/j.dcn.2021.100945","title":"Cortical maturation from childhood to adolescence is reflected in resting state EEG signal complexity","year":2021,"lang":"en","type":"article","venue":"Developmental Cognitive Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital; Brock University","funders":"Canadian Institutes of Health Research","keywords":"Psychology; Resting state fMRI; Electroencephalography; Sample entropy; Scalp; Neuroscience; Population; Developmental psychology; Late childhood; Functional connectivity; Cognitive psychology; Pattern recognition (psychology); Biology","score_opus":0.06560181335647496,"score_gpt":0.2944870675215172,"score_spread":0.22888525416504224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135974875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949357,0.000003595987,0.0027029621,0.00054726435,0.0004260912,0.00036538436,0.00016684843,0.000085209824,0.0007669318],"genre_scores_gemma":[0.98285997,0.000009808895,0.0011604476,0.015748523,0.000021559052,0.000021492062,0.000026915848,0.000018017881,0.00013328648],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9969009,0.00031134172,0.00041011474,0.0012143942,0.00064671953,0.0005165373],"domain_scores_gemma":[0.99903315,0.00040231098,0.00010139744,0.00011820728,0.0001354738,0.00020943125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015867529,0.00023419729,0.00020312113,0.00014414647,0.000431914,0.00023390663,0.00026155423,0.000044746015,0.00008743665],"category_scores_gemma":[0.0026456194,0.00024411024,0.000038010865,0.0018167418,0.00025255844,0.00044771004,0.00032980554,0.0004436564,0.00010702892],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001064353,0.00016219277,0.0069643394,0.000004156936,5.831517e-7,0.00027387607,0.0006221863,0.000011827931,0.98725164,0.00006292632,0.000029689574,0.0045101475],"study_design_scores_gemma":[0.00029687284,0.00006214393,0.57855266,0.00009839903,0.000002009165,0.00005692137,0.00010119275,0.002425092,0.41768485,0.0004785645,0.00003277959,0.00020847586],"about_ca_topic_score_codex":0.00003781751,"about_ca_topic_score_gemma":0.00012881059,"teacher_disagreement_score":0.57158834,"about_ca_system_score_codex":0.00012984009,"about_ca_system_score_gemma":0.00027226098,"threshold_uncertainty_score":0.9954527},"labels":[],"label_agreement":null},{"id":"W3136358020","doi":"10.1016/j.neubiorev.2021.02.046","title":"The role of the anterior nuclei of the thalamus in human memory processing","year":2021,"lang":"en","type":"review","venue":"Neuroscience & Biobehavioral Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":71,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary","funders":"","keywords":"Neocortex; Neuroscience; Electrophysiology; Thalamus; Encoding (memory); Hippocampus; Neuroimaging; Psychology","score_opus":0.10270205499092473,"score_gpt":0.370544453602304,"score_spread":0.26784239861137926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136358020","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012780049,0.9833692,6.330295e-7,0.000016699414,0.0013854979,0.002136946,0.00003086265,0.0000145598215,0.00026556652],"genre_scores_gemma":[0.022066573,0.97716814,0.0000046279265,0.00021826982,0.000041574567,0.00013032007,7.812932e-7,0.00004096998,0.00032871304],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9951774,0.0011200446,0.0015523,0.000876181,0.00079118856,0.000482876],"domain_scores_gemma":[0.9963985,0.000026591686,0.0020104325,0.0014400531,0.00006194209,0.00006247916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010481025,0.0004719538,0.0014068171,0.000099605546,0.00069884135,0.00017992007,0.0028228173,0.00015305023,0.000011257027],"category_scores_gemma":[0.0010253309,0.00020034265,0.0010394596,0.0024723273,0.0012554236,0.00020493471,0.0008950581,0.0008223707,0.0000028480927],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.769239e-7,0.00008452586,0.000114247116,0.0007873417,3.2366685e-8,0.000003115345,0.00002819172,4.0202835e-7,0.075654335,0.00011197405,0.000020931599,0.92319405],"study_design_scores_gemma":[0.000056413,0.000058796813,0.0005007051,0.009358945,0.000105524494,0.00006340736,0.000021006179,0.000032972093,0.0015624464,0.000029095958,0.9879987,0.00021196432],"about_ca_topic_score_codex":0.000034267432,"about_ca_topic_score_gemma":0.00004416195,"teacher_disagreement_score":0.9879778,"about_ca_system_score_codex":0.00008404723,"about_ca_system_score_gemma":0.0003401065,"threshold_uncertainty_score":0.81697357},"labels":[],"label_agreement":null},{"id":"W3136370452","doi":"10.1016/j.plrev.2021.09.001","title":"The Markov blanket trick: On the scope of the free energy principle and active inference","year":2021,"lang":"en","type":"review","venue":"Physics of Life Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":76,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Charles Phelps Taft Research Center; Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Free energy principle; Inference; Computer science; Markov blanket; Markov process; Artificial intelligence; Bayesian inference; Markov chain; Mathematical economics; Cognitive science; Bayesian probability; Machine learning; Markov model; Mathematics; Markov property; Psychology","score_opus":0.12258127074678195,"score_gpt":0.34644340967532083,"score_spread":0.2238621389285389,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136370452","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00002899381,0.99540806,0.000033601762,0.00026713262,0.0003297547,0.0009901767,0.00010381375,0.0000056255253,0.0028328204],"genre_scores_gemma":[0.00013565487,0.9988251,0.000008761187,0.00038989057,0.00014551956,0.00010188055,0.0000050769695,0.000024792582,0.0003633473],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99675965,0.0014691276,0.000758512,0.0004189686,0.00039621702,0.00019755038],"domain_scores_gemma":[0.99339414,0.003573902,0.0015038999,0.0014097817,0.000070499096,0.000047753492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058630854,0.00033726863,0.0013457086,0.000023209763,0.0002217973,0.000057169298,0.0011754623,0.00007556818,0.000009481811],"category_scores_gemma":[0.004224456,0.00013114118,0.00062056765,0.0007326203,0.00027947416,0.00006994537,0.0006468761,0.00040221328,0.000005152897],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000042724755,0.000043464846,6.6204825e-7,0.0019144451,0.000021564578,2.786744e-7,0.000009221406,6.923894e-7,0.000054175274,0.06747827,0.00088735047,0.9295856],"study_design_scores_gemma":[0.000056980272,0.000044555545,0.000004934158,0.006364771,0.00014905086,0.0000021897058,0.0000021402589,0.00002966951,0.00030879703,0.0015121499,0.99138695,0.00013779574],"about_ca_topic_score_codex":0.000014588742,"about_ca_topic_score_gemma":0.000009640239,"teacher_disagreement_score":0.9904996,"about_ca_system_score_codex":0.000030085681,"about_ca_system_score_gemma":0.00027831757,"threshold_uncertainty_score":0.5347782},"labels":[],"label_agreement":null},{"id":"W3136457091","doi":"10.1101/2021.03.16.435656","title":"Signal complexity indicators of health status in clinical-EEG","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Baycrest Hospital","funders":"James S. McDonnell Foundation","keywords":"Electroencephalography; Biomarker; Disease; Neuroimaging; SIGNAL (programming language); Entropy (arrow of time); Neuroscience; Psychology; Medicine; Computer science; Biology; Internal medicine","score_opus":0.05912176429100492,"score_gpt":0.29879831553965636,"score_spread":0.23967655124865145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136457091","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99579036,0.00031057515,0.00066083035,0.0003337578,0.0017479395,0.00068014587,0.00031904105,0.00014456318,0.000012772135],"genre_scores_gemma":[0.9970169,0.0006911233,0.0011344249,0.0009248718,0.00011027595,0.000043958265,7.416182e-7,0.00007558376,0.0000021247286],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99442893,0.0011635709,0.0016443934,0.0014295084,0.0005923976,0.00074121734],"domain_scores_gemma":[0.9966931,0.00033267392,0.0013754693,0.0010968935,0.00015919932,0.00034267447],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017365937,0.0004449025,0.0010687094,0.0005111627,0.00013229976,0.00013350237,0.0005820806,0.000426026,0.00008068593],"category_scores_gemma":[0.00095611997,0.00048150806,0.00026260424,0.001281732,0.00040494613,0.00014665487,0.00072487193,0.0013982086,0.0000132642135],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009284703,0.0013443097,0.18935677,0.0010879169,0.00005569017,0.00012348115,0.000030527266,0.00025352277,0.8032254,0.0041424367,0.00018833263,0.00009877514],"study_design_scores_gemma":[0.0007252494,0.00017385668,0.88940674,0.00048187198,0.00001970408,1.1705528e-8,0.000005411027,0.001647475,0.106004305,0.000014553617,0.0009357278,0.0005850802],"about_ca_topic_score_codex":0.00028077333,"about_ca_topic_score_gemma":0.000022592256,"teacher_disagreement_score":0.70005,"about_ca_system_score_codex":0.00031710172,"about_ca_system_score_gemma":0.0016314562,"threshold_uncertainty_score":0.99976367},"labels":[],"label_agreement":null},{"id":"W3136966614","doi":"10.1038/s41467-021-21970-2","title":"Dynamics of fMRI patterns reflect sub-second activation sequences and reveal replay in human visual cortex","year":2021,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Max-Planck-Institut für Bildungsforschung; International Max Planck Research School for Advanced Methods in Process and Systems Engineering; International Max Planck Research School for Environmental, Cellular and Molecular Microbiology; Max-Planck-Gesellschaft; University College London; European Commission; McMaster University","keywords":"Visual cortex; Cortex (anatomy); Neuroscience; Dynamics (music); Computer science; Biology; Psychology","score_opus":0.03158906808317893,"score_gpt":0.33883123863385917,"score_spread":0.30724217055068026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136966614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953498,0.00012034602,0.000043404347,0.0027544163,0.000083525665,0.00013073468,0.000050596755,0.000023213204,0.0014439553],"genre_scores_gemma":[0.9986496,0.00027849321,0.0001656988,0.0005061567,0.000012815909,0.000011955213,0.00016990004,0.0000101071855,0.00019525777],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99896705,0.00025285513,0.00025838005,0.0002623296,0.00014324457,0.00011614824],"domain_scores_gemma":[0.99861723,0.0004244842,0.00016034198,0.0006773805,0.00009001225,0.000030532334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016675275,0.00009120142,0.00013771548,0.000109258806,0.00020055994,0.000038393813,0.00031539256,0.00013217017,0.000016704415],"category_scores_gemma":[0.0003899807,0.000092402704,0.00003278275,0.00044679013,0.00011999842,0.00019140657,0.00021188472,0.0006767648,6.6149875e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007793163,0.000097511496,0.013454405,0.000019447454,0.0000030061567,0.0000030968122,0.000080955986,0.0000042687334,0.9619511,0.023126177,0.000053863634,0.0011983943],"study_design_scores_gemma":[0.00061323313,0.0001631969,0.43314162,0.00017453881,0.0000184439,0.000071768045,0.00031970767,0.013623196,0.5446415,0.006184401,0.0007076654,0.00034075632],"about_ca_topic_score_codex":0.000042134187,"about_ca_topic_score_gemma":0.006480782,"teacher_disagreement_score":0.4196872,"about_ca_system_score_codex":0.000074299125,"about_ca_system_score_gemma":0.000048135655,"threshold_uncertainty_score":0.37680727},"labels":[],"label_agreement":null},{"id":"W3136975637","doi":"10.1038/s41562-021-01082-z","title":"Mapping gene transcription and neurocognition across human neocortex","year":2021,"lang":"en","type":"article","venue":"Nature Human Behaviour","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":235,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute; McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute of Mental Health; National Institute on Aging","keywords":"Neocortex; Neuroscience; Biology; Neurocognitive; Gene expression; Psychology; Gene regulatory network; Cognition; Gene; Genetics","score_opus":0.03571961719279003,"score_gpt":0.3043944237976499,"score_spread":0.2686748066048599,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136975637","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981516,0.00007986122,0.000080808866,0.00028458767,0.00051510584,0.00020297169,0.000056490986,0.00013122513,0.00049737474],"genre_scores_gemma":[0.9966578,0.0000237133,0.000042038573,0.0015363108,0.0001919648,0.00002719712,0.00010596845,0.000030064162,0.0013849476],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984845,0.00009945666,0.00021948552,0.00062186085,0.00027426874,0.00030042607],"domain_scores_gemma":[0.99951047,0.000025718417,0.00008365075,0.00021114654,0.00008081026,0.00008818762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000104393665,0.00018281404,0.00015490354,0.000072520015,0.00073064014,0.00020823375,0.000108653745,0.00025704282,0.000095340234],"category_scores_gemma":[0.00004850088,0.00019017904,0.00008529791,0.00026600793,0.00007452121,0.00026104148,0.00005785921,0.0007702262,0.000009020788],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000053819012,0.00008068256,0.0023130702,0.000015078938,0.0000015421209,0.00016724743,0.00020859014,0.0000011545161,0.9939188,0.0013314578,0.00012326485,0.0018337627],"study_design_scores_gemma":[0.0010078368,0.00012708013,0.40626872,0.00004166747,0.000029185669,0.00041806104,0.00015534267,0.00010020963,0.5872207,0.0026210702,0.001621725,0.0003884162],"about_ca_topic_score_codex":0.000010567867,"about_ca_topic_score_gemma":0.0000644225,"teacher_disagreement_score":0.40669808,"about_ca_system_score_codex":0.00003137618,"about_ca_system_score_gemma":0.000011253129,"threshold_uncertainty_score":0.7755276},"labels":[],"label_agreement":null},{"id":"W3137089624","doi":"10.1007/s10548-021-00826-4","title":"Slow Resting State Fluctuations Enhance Neuronal and Behavioral Responses to Looming Sounds","year":2021,"lang":"en","type":"article","venue":"Brain Topography","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Ottawa","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Looming; Resting state fMRI; Neuroscience; Psychology; Audiology; Cognitive psychology; Medicine","score_opus":0.03252037458864915,"score_gpt":0.3065345146305806,"score_spread":0.2740141400419315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137089624","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938512,0.000038246202,0.001508179,0.0036503556,0.0003636863,0.00015799822,0.000043014446,0.000096595344,0.0002907577],"genre_scores_gemma":[0.9918856,0.000023940178,0.0016246205,0.0039330833,0.000065918415,0.000024391602,0.000006566088,0.00002237709,0.00241349],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99844617,0.0002016059,0.00021424402,0.0005760657,0.00025399294,0.0003078974],"domain_scores_gemma":[0.9988042,0.0006877273,0.00006162739,0.00024347364,0.000061758044,0.00014118334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019033799,0.00014715815,0.0001279877,0.0002318549,0.0003819915,0.000207351,0.000116257506,0.000035286725,0.000026373924],"category_scores_gemma":[0.0011270061,0.0001558865,0.00007680313,0.0009435256,0.000102851445,0.0001986247,0.00012354489,0.00016821045,0.00000951587],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006414187,0.000053795848,0.002948663,0.000008492096,0.0000021929118,0.00006993061,0.00026112134,0.000044659646,0.97405434,0.0008145462,0.0005446497,0.02113346],"study_design_scores_gemma":[0.0011181671,0.0011526297,0.42070094,0.00015282717,0.000052649353,0.00038424527,0.00038258574,0.0035360816,0.5196952,0.014505702,0.03697394,0.0013450222],"about_ca_topic_score_codex":0.000019820089,"about_ca_topic_score_gemma":0.000057763486,"teacher_disagreement_score":0.45435914,"about_ca_system_score_codex":0.000012672531,"about_ca_system_score_gemma":0.000047888738,"threshold_uncertainty_score":0.6356867},"labels":[],"label_agreement":null},{"id":"W3137721055","doi":"10.1523/jneurosci.2785-20.2021","title":"Intracranial Electroencephalography Reveals Selective Responses to Cognitive Stimuli in the Periventricular Heterotopias","year":2021,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; National Natural Science Foundation of China-Yunnan Joint Fund; Canadian Institutes of Health Research; National Natural Science Foundation of China; Government of Canada; National Science Foundation","keywords":"Electroencephalography; Neuroscience; Psychology; Cognition; Audiology; Medicine","score_opus":0.034137351856907985,"score_gpt":0.3028778856521157,"score_spread":0.26874053379520774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137721055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951906,0.000038830913,0.0014871635,0.0023352266,0.000575577,0.00026711196,0.0000079844285,0.000007842112,0.00008966031],"genre_scores_gemma":[0.991125,0.00007985278,0.0000937784,0.008525333,0.00010268507,0.000009025775,1.4462393e-7,0.000007641288,0.000056550813],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99726516,0.0008873258,0.00039512204,0.00038032533,0.00070727785,0.0003648134],"domain_scores_gemma":[0.9983754,0.00090002496,0.0002351564,0.00014411546,0.00023369693,0.0001115729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063716195,0.00013956097,0.00020874884,0.00031480944,0.00021466661,0.00018602653,0.00049393903,0.00003398567,0.000006425226],"category_scores_gemma":[0.006033196,0.000095487456,0.000140034,0.0025842038,0.00015227812,0.00038279605,0.0000649484,0.00048040133,0.0000036607394],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025021547,0.0001918789,0.006342569,0.0000034075008,0.0000010393732,0.002081747,0.00033976423,0.00013213317,0.98940414,0.00018328421,0.00006213669,0.0010076892],"study_design_scores_gemma":[0.0010203018,0.0036444536,0.8193722,0.000119672826,0.000028040482,0.01031883,0.00031545653,0.0012070253,0.16081005,0.001908817,0.0009485954,0.00030656075],"about_ca_topic_score_codex":0.0000020848668,"about_ca_topic_score_gemma":0.0000052009113,"teacher_disagreement_score":0.8285941,"about_ca_system_score_codex":0.00004184805,"about_ca_system_score_gemma":0.00013521277,"threshold_uncertainty_score":0.72227347},"labels":[],"label_agreement":null},{"id":"W3137816418","doi":"10.1016/j.neubiorev.2021.03.015","title":"Rodent somatosensory thalamocortical circuitry: Neurons, synapses, and connectivity","year":2021,"lang":"en","type":"review","venue":"Neuroscience & Biobehavioral Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health; McGill University; Montreal Neurological Institute and Hospital","funders":"Fonds de Recherche du Québec - Santé; Board of the Swiss Federal Institutes of Technology; McGill University; Krembil Foundation; Azrieli Foundation; École Polytechnique Fédérale de Lausanne; Eidgenössische Technische Hochschule Zürich","keywords":"Neuroscience; Somatosensory system; Computer science; Neuroanatomy; Systems neuroscience; Cognition; Connectome; Cognitive science; Psychology; Functional connectivity; Central nervous system","score_opus":0.18517880310530677,"score_gpt":0.3822658882206562,"score_spread":0.19708708511534945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137816418","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033141437,0.99119395,0.00002990971,0.000017171418,0.0025022298,0.0024831626,0.00012713035,0.00018807246,0.00014421508],"genre_scores_gemma":[0.001289971,0.99659437,0.000027337855,0.001175995,0.00015491345,0.00033030787,0.00002168577,0.00010878801,0.0002966018],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9922241,0.0014497916,0.0014750827,0.002932276,0.00086029415,0.0010584594],"domain_scores_gemma":[0.9970403,0.00006799534,0.0009121857,0.0013559698,0.000053640317,0.00056995935],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000733257,0.0011352889,0.00315364,0.00030490523,0.0005803036,0.000635293,0.00094481284,0.0004200102,0.00008443929],"category_scores_gemma":[0.00286366,0.0008761355,0.0009570877,0.0014861668,0.0008660989,0.0005147484,0.0007629302,0.0013628142,0.00012542227],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014993067,0.00021895808,0.000044522872,0.0016343439,1.1104925e-7,0.00038196397,0.0000054856646,1.11902544e-7,0.0056135273,0.0009093964,0.00032811426,0.99086195],"study_design_scores_gemma":[0.00010966345,0.00020774332,0.00012867451,0.0028063057,0.0003893105,0.001915982,0.0000033193235,0.00006301586,0.00004420816,0.000024578698,0.99350214,0.000805057],"about_ca_topic_score_codex":0.00001799621,"about_ca_topic_score_gemma":0.000007403833,"teacher_disagreement_score":0.993174,"about_ca_system_score_codex":0.00015353097,"about_ca_system_score_gemma":0.00035516542,"threshold_uncertainty_score":0.9993689},"labels":[],"label_agreement":null},{"id":"W3137915433","doi":"10.1101/2021.03.05.434105","title":"Parallel inference of hierarchical latent dynamics in two-photon calcium imaging of neuronal populations","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; Montreal Neurological Institute and Hospital; Mila - Quebec Artificial Intelligence Institute; University of Toronto; Canadian Institute for Advanced Research; McGill University","funders":"Eurostars; National Institutes of Health; National Institute of Neurological Disorders and Stroke; Canadian Institute for Advanced Research; Canadian Open Neuroscience Platform; Natural Sciences and Engineering Research Council of Canada; Defense Advanced Research Projects Agency","keywords":"Latent variable; Inference; Computer science; Variable (mathematics); Calcium imaging; Dynamics (music); Artificial intelligence; Statistical physics; Physics; Mathematics; Calcium; Chemistry","score_opus":0.0371354643204011,"score_gpt":0.277253869496596,"score_spread":0.24011840517619487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137915433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932513,0.00005569708,0.0045060576,0.0002681345,0.001114278,0.00045166188,0.00026044322,0.00007542848,0.00001695693],"genre_scores_gemma":[0.9973571,0.000068093366,0.0022475144,0.00015481765,0.00005586149,0.000051379877,0.0000016767553,0.00006043152,0.0000031312327],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9969292,0.00028677404,0.0008792352,0.0009593218,0.00051670586,0.00042870556],"domain_scores_gemma":[0.99798536,0.00020306635,0.000569469,0.00083067705,0.00026566733,0.0001457573],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003072915,0.000381049,0.0006029314,0.00040832607,0.000075408454,0.00009110185,0.00050367013,0.00017138131,0.00003064292],"category_scores_gemma":[0.0007234106,0.00042778184,0.00019006511,0.00076058303,0.00022342724,0.00018038874,0.0006555372,0.00096498814,0.0000029558605],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040651368,0.00026709033,0.11207399,0.00024106984,0.000008781379,0.00006363614,0.000008016374,0.0044264323,0.8715825,0.011280411,0.0000036515175,0.0000037471161],"study_design_scores_gemma":[0.0006607236,0.00004553357,0.50739413,0.0004781076,0.000043246706,7.937467e-8,0.000003232245,0.27641803,0.21431006,0.00008113273,0.000012476166,0.00055321184],"about_ca_topic_score_codex":0.00039988695,"about_ca_topic_score_gemma":0.00007345647,"teacher_disagreement_score":0.65727246,"about_ca_system_score_codex":0.00027661395,"about_ca_system_score_gemma":0.0004523121,"threshold_uncertainty_score":0.9998174},"labels":[],"label_agreement":null},{"id":"W3137983215","doi":"10.3390/e23030362","title":"Mechanism Integrated Information","year":2021,"lang":"en","type":"article","venue":"Entropy","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"Templeton World Charity Foundation; Tiny Blue Dot Foundation","keywords":"Consciousness; Mechanism (biology); Integrated information theory; Measure (data warehouse); Computer science; Order (exchange); Physical system; Theoretical computer science; Mathematics; Artificial intelligence; Epistemology; Philosophy; Data mining; Physics","score_opus":0.013645134412678905,"score_gpt":0.22148003939377006,"score_spread":0.20783490498109117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137983215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9262894,0.000007916953,0.057703055,0.0023070844,0.002155771,0.00013827582,0.000026216418,0.00021166545,0.011160606],"genre_scores_gemma":[0.9958966,0.00001824051,0.0003354647,0.0025833205,0.000033676573,0.000003801741,0.000020221469,0.0000035253959,0.0011051632],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99957913,0.000035134617,0.00008782581,0.000089851375,0.000112356225,0.00009570694],"domain_scores_gemma":[0.99978775,0.000028226721,0.000030338992,0.00009294567,0.000032491527,0.00002825397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000025045276,0.000046376008,0.000043402462,0.000027694608,0.000060158563,0.00005360158,0.00004317361,0.000022791992,0.00031474984],"category_scores_gemma":[0.0002670684,0.000039366492,0.000025721394,0.00017697524,0.000009055521,0.00027850858,0.00002488372,0.0000724528,0.00040911397],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000047450585,0.000008603002,0.000007273166,0.0000018778137,5.4788813e-7,0.000008544439,0.000025320203,0.00001016477,0.6405844,0.35629624,0.00052945706,0.0025228104],"study_design_scores_gemma":[0.00019901013,0.000027257927,0.000103798004,0.0000042898246,0.000002307209,0.00002888828,0.000037970396,0.012912102,0.9128599,0.010709062,0.0630491,0.000066289904],"about_ca_topic_score_codex":0.000003721419,"about_ca_topic_score_gemma":0.0000011514031,"teacher_disagreement_score":0.34558716,"about_ca_system_score_codex":0.000021677743,"about_ca_system_score_gemma":0.000017153809,"threshold_uncertainty_score":0.5258469},"labels":[],"label_agreement":null},{"id":"W3138052543","doi":"10.1523/jneurosci.2313-20.2021","title":"Oscillatory Entrainment of the Frequency-following Response in Auditory Cortical and Subcortical Structures","year":2021,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Centre for Interdisciplinary Research in Music Media and Technology; McGill University; International Laboratory for Brain, Music and Sound Research; Centre for Research on Brain Language and Music; Montreal Neurological Institute and Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Health Canada; Government of Canada; McGill University; Canadian Institute for Advanced Research","keywords":"Entrainment (biomusicology); Neuroscience; Psychology; Auditory cortex; Audiology; Communication; Acoustics; Physics; Rhythm; Medicine","score_opus":0.02206807947235843,"score_gpt":0.2638836551819639,"score_spread":0.24181557570960546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138052543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99619144,0.00004731785,0.00007069448,0.00101521,0.0025655003,0.00005664129,0.0000026179803,0.0000032548614,0.000047320696],"genre_scores_gemma":[0.99864525,0.000044111912,0.00006822816,0.0011636144,0.000049183778,4.4902154e-7,1.3826282e-8,0.000005612957,0.000023518614],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9978934,0.0005340639,0.00044451514,0.00024108171,0.00067916675,0.00020778971],"domain_scores_gemma":[0.9988528,0.0005958128,0.00022487002,0.00017884761,0.00004457475,0.00010309497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059845427,0.00009244104,0.00018109291,0.00008540561,0.00012251775,0.000044748853,0.00027325482,0.000039383234,0.000006141578],"category_scores_gemma":[0.0058192024,0.00006148422,0.00011120831,0.00046226842,0.0003681018,0.00020683608,0.00012238657,0.00038396203,2.3679483e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008942129,0.000043520064,0.007286597,0.000004817715,5.6144484e-7,0.00033302727,0.00006667516,0.00009324681,0.990904,0.0010356989,0.000016816275,0.00012566724],"study_design_scores_gemma":[0.0003560631,0.00026924832,0.8312929,0.00004068219,0.000009821804,0.00071552745,0.000051151903,0.001093566,0.16435823,0.0015486464,0.00018378932,0.00008036398],"about_ca_topic_score_codex":0.0000010091123,"about_ca_topic_score_gemma":0.0000017688186,"teacher_disagreement_score":0.8265457,"about_ca_system_score_codex":0.00005299904,"about_ca_system_score_gemma":0.000260289,"threshold_uncertainty_score":0.6966549},"labels":[],"label_agreement":null},{"id":"W3138101567","doi":"10.1371/journal.pcbi.1008775","title":"Reconstructing feedback representations in the ventral visual pathway with a generative adversarial autoencoder","year":2021,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Canada First Research Excellence Fund; Compute Canada","keywords":"Autoencoder; Computer science; Magnetoencephalography; Artificial intelligence; Feed forward; Generative model; Artificial neural network; Functional magnetic resonance imaging; Representation (politics); Generative grammar; Pattern recognition (psychology); Neuroscience; Psychology; Electroencephalography","score_opus":0.039552013672614586,"score_gpt":0.28447506580606197,"score_spread":0.2449230521334474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138101567","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889901,0.000006966198,0.007307236,0.0022767596,0.00029294056,0.00016747287,0.00003291129,0.000025318786,0.0009002723],"genre_scores_gemma":[0.9944993,0.000001981574,0.0037420082,0.0014447581,0.00013762724,0.00002435171,0.00010209766,0.0000060805583,0.000041771025],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987738,0.00040588508,0.00017759435,0.0003452105,0.00013111396,0.00016636237],"domain_scores_gemma":[0.9989207,0.0008371064,0.0000770989,0.00007479777,0.0000673628,0.000022949807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000792538,0.00008685905,0.000103524355,0.000050079176,0.00017313629,0.00004396255,0.00009063618,0.00004077884,0.000057494413],"category_scores_gemma":[0.00028529952,0.000060667397,0.000032659307,0.00032101257,0.00012674608,0.00009124938,0.00003400497,0.00016569921,0.0000144709675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003585719,0.0008610066,0.035869855,0.000021105368,0.00007703755,0.00044610986,0.003753229,0.2398323,0.5119551,0.19966526,0.00022618713,0.0069342623],"study_design_scores_gemma":[0.0016623762,0.00036774226,0.019450804,0.000023570314,0.000016980553,0.0006034162,0.0008115088,0.9108664,0.023929052,0.04176261,0.00022648716,0.00027907657],"about_ca_topic_score_codex":0.000010388881,"about_ca_topic_score_gemma":0.00003167335,"teacher_disagreement_score":0.6710341,"about_ca_system_score_codex":0.000028459654,"about_ca_system_score_gemma":0.00014233026,"threshold_uncertainty_score":0.24739447},"labels":[],"label_agreement":null},{"id":"W3138211100","doi":"10.1371/journal.pcbi.1008013","title":"Linear-nonlinear cascades capture synaptic dynamics","year":2021,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Computer science; Nonlinear system; Dynamics (music); Biological system; Artificial intelligence; Neuroscience; Physics; Biology","score_opus":0.03060416601654594,"score_gpt":0.2700962960044858,"score_spread":0.23949212998793987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138211100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9807518,0.00007009622,0.011861824,0.00468918,0.0006453627,0.00012909058,0.00022507689,0.00013945898,0.0014880896],"genre_scores_gemma":[0.9912222,0.000015784186,0.0045413757,0.003109428,0.00016006253,0.000007668305,0.00044443013,0.000016082911,0.00048293982],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99887,0.00015013201,0.0002020717,0.00042844916,0.00013466764,0.00021464647],"domain_scores_gemma":[0.9989963,0.00062251,0.00007059619,0.00012249236,0.00012562815,0.0000624631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000045803146,0.00012810936,0.00016177694,0.00006051433,0.00013875143,0.000026198588,0.00012720538,0.00011474875,0.0001052417],"category_scores_gemma":[0.00052024395,0.000115435374,0.00006666901,0.00025827388,0.00011569024,0.00006058048,0.00008704067,0.00021432634,0.00013888068],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009754991,0.0007481004,0.0038837504,0.00008265015,0.00012226119,0.00047320465,0.00017255654,0.06652154,0.53859323,0.3827442,0.0005385022,0.0060224305],"study_design_scores_gemma":[0.00024885012,0.00007664858,0.0005367277,0.000008768829,0.0000135959435,0.00023602067,0.000025986337,0.9663836,0.007504918,0.02382859,0.0009646831,0.00017164694],"about_ca_topic_score_codex":0.000006367478,"about_ca_topic_score_gemma":0.0000134188385,"teacher_disagreement_score":0.89986205,"about_ca_system_score_codex":0.000053623367,"about_ca_system_score_gemma":0.00009127893,"threshold_uncertainty_score":0.4707318},"labels":[],"label_agreement":null},{"id":"W3138481407","doi":"10.1103/physreve.103.032311","title":"Plastic systemic inhibition controls amplitude while allowing phase pattern in a stochastic neural field model","year":2021,"lang":"en","type":"article","venue":"Physical review. E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Amplitude; Bounded function; Phase (matter); Biological system; Physics; Synchronization (alternating current); Inhibitory postsynaptic potential; Plasticity; Control theory (sociology); Phase synchronization; Statistical physics; Field (mathematics); Neuroscience; Computer science; Mathematics; Mathematical analysis; Biology; Control (management); Optics; Artificial intelligence; Telecommunications; Quantum mechanics","score_opus":0.03908728773374233,"score_gpt":0.327712110570927,"score_spread":0.28862482283718466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138481407","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96082133,0.00043025234,0.03709449,0.00083137257,0.00022937286,0.000423409,0.000028921038,0.000047960028,0.000092897375],"genre_scores_gemma":[0.9954851,0.0002159346,0.0000054147304,0.004017027,0.00010974913,0.00010293092,0.000018453458,0.000017405046,0.000027941403],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984649,0.0001580673,0.00034046665,0.0004741394,0.00027655144,0.0002859187],"domain_scores_gemma":[0.99872714,0.0008235479,0.00009811305,0.00022688771,0.000037291502,0.00008702177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010005176,0.0001752994,0.00041313126,0.000037257934,0.00006088938,0.000055118126,0.0000915485,0.000028718317,0.000017471308],"category_scores_gemma":[0.0012881488,0.0001545217,0.00016239114,0.000272607,0.000020527075,0.00020184739,0.0000704821,0.00027577803,0.000062142666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027575821,0.0003565496,0.0000149611005,0.00044922315,0.0000031306627,0.00009569651,0.000037058486,0.009409371,0.9800614,0.0010382154,0.000106581516,0.008400246],"study_design_scores_gemma":[0.0009841727,0.0001363439,0.000024346424,0.0018068744,0.00003894369,0.000046673147,0.000004854612,0.9851073,0.01029624,0.0013319904,0.000018987848,0.00020324894],"about_ca_topic_score_codex":0.0000064837022,"about_ca_topic_score_gemma":0.000007834355,"teacher_disagreement_score":0.97569793,"about_ca_system_score_codex":0.000050605042,"about_ca_system_score_gemma":0.000033773133,"threshold_uncertainty_score":0.6301212},"labels":[],"label_agreement":null},{"id":"W3140711255","doi":"10.1371/journal.pcbi.1008779","title":"Tuned inhibition in perceptual decision-making circuits can explain seemingly suboptimal confidence behavior","year":2021,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Air Force Office of Scientific Research; National Institute of Neurological Disorders and Stroke; National Eye Institute; National Institutes of Health; Canadian Institute for Advanced Research","keywords":"Counterintuitive; Perception; Heuristic; Metacognition; Cognitive psychology; Preference; Low Confidence; Empirical evidence; Computer science; Psychology; Artificial intelligence; Cognition; Statistics; Neuroscience; Social psychology; Mathematics","score_opus":0.042853981744641896,"score_gpt":0.29284898303718015,"score_spread":0.24999500129253827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3140711255","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922022,0.000012781799,0.0065820194,0.00038018628,0.0003177746,0.00017410482,0.00007171657,0.00005201943,0.00020716504],"genre_scores_gemma":[0.99712896,0.000005814067,0.0011758868,0.0014122706,0.00006576827,0.00004011526,0.00013278236,0.000013140595,0.000025275418],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99841136,0.0002075012,0.00033333892,0.00056771043,0.0002154891,0.00026461022],"domain_scores_gemma":[0.99818414,0.0014340703,0.00009548302,0.00010895061,0.00012304034,0.00005431184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011241216,0.00014155103,0.00018507455,0.00015926508,0.00015454466,0.00004779654,0.000089007015,0.00010558224,0.00019881512],"category_scores_gemma":[0.00089652045,0.00014742448,0.000052737218,0.00037204908,0.000121739,0.00012086645,0.00009073697,0.00020810905,0.000043173382],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037179598,0.00024689938,0.004642609,0.000008279983,0.0000027557664,0.00032055768,0.0003631101,0.006889045,0.9632101,0.01630591,0.000028461887,0.00794507],"study_design_scores_gemma":[0.0043677213,0.0011653836,0.30425078,0.00069576123,0.000073619005,0.0022977754,0.001258249,0.2939417,0.2224082,0.16728644,0.00023039829,0.002023983],"about_ca_topic_score_codex":0.00001122136,"about_ca_topic_score_gemma":0.00006528891,"teacher_disagreement_score":0.74080193,"about_ca_system_score_codex":0.000100110774,"about_ca_system_score_gemma":0.00013863143,"threshold_uncertainty_score":0.60117954},"labels":[],"label_agreement":null},{"id":"W3140837773","doi":"10.1073/pnas.1815958116","title":"Transcranial alternating current stimulation entrains single-neuron activity in the primate brain","year":2019,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":381,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Institute of Neurosciences, Mental Health and Addiction; Canadian Institutes of Health Research; Defense Advanced Research Projects Agency; Government of Canada","keywords":"Neuroscience; Brain activity and meditation; Transcranial alternating current stimulation; Brain stimulation; Human brain; Transcranial direct-current stimulation; Psychology; Premovement neuronal activity; Computer science; Stimulation; Transcranial magnetic stimulation; Electroencephalography","score_opus":0.07360262965529914,"score_gpt":0.3362758105766803,"score_spread":0.2626731809213812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3140837773","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99265563,0.0000066242706,0.0000035474218,0.0048989356,0.00008773519,0.00035843917,0.0000095173,0.000009291073,0.0019702476],"genre_scores_gemma":[0.99936163,0.0000062379627,0.00003941717,0.00050702447,0.000053906682,0.000005043118,6.682546e-8,0.000003456275,0.00002319049],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980839,0.00003179818,0.00024041647,0.0002841847,0.0011994225,0.0001602633],"domain_scores_gemma":[0.9991127,0.00047103694,0.00033819117,0.000009678641,0.00005370732,0.000014635388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012166236,0.00008776721,0.00010362553,0.00012490537,0.000140732,0.000050343995,0.0006874048,0.00003555942,0.0000064977876],"category_scores_gemma":[0.00072853704,0.00005214682,0.00006451804,0.00071943767,0.00026378213,0.00060571666,0.00005621329,0.00023440104,0.0000014532159],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020818778,0.000082505605,0.002845794,0.000035417394,5.6069877e-7,5.291642e-9,0.00024723427,0.0010025763,0.97560346,0.017559137,0.000017956183,0.0025845594],"study_design_scores_gemma":[0.00048700438,0.00018550882,0.16000393,0.000110156616,0.0000053246276,0.000009310406,0.00005247757,0.08932714,0.7260275,0.023502497,0.00016518623,0.00012398885],"about_ca_topic_score_codex":0.0000035897795,"about_ca_topic_score_gemma":1.4523137e-7,"teacher_disagreement_score":0.24957597,"about_ca_system_score_codex":0.000037264566,"about_ca_system_score_gemma":0.000016092092,"threshold_uncertainty_score":0.21264857},"labels":[],"label_agreement":null},{"id":"W3142018383","doi":"10.1101/2021.03.29.437548","title":"Self-organization of a doubly asynchronous irregular network state for spikes and bursts","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Neuroscience; Inhibitory postsynaptic potential; Stimulus (psychology); Computer science; Asynchronous communication; Learning rule; Network model; Artificial neural network; Physics; Artificial intelligence; Biology; Psychology; Cognitive psychology","score_opus":0.01118753465571025,"score_gpt":0.20472234902927358,"score_spread":0.19353481437356332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3142018383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98135346,0.0003681403,0.015182902,0.00015720898,0.0015129885,0.0010076645,0.00014750089,0.00026785443,0.0000022902348],"genre_scores_gemma":[0.9924204,0.0005358961,0.0063453624,0.00020003896,0.00030216336,0.000073552386,9.192591e-7,0.00011733816,0.000004356242],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99766725,0.00012056137,0.0004670506,0.0010238214,0.000291155,0.00043016564],"domain_scores_gemma":[0.99802697,0.00014777246,0.00050520385,0.0006682495,0.0005037278,0.00014809183],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032871033,0.0003905607,0.00049456867,0.00012970975,0.00020051847,0.00027685135,0.00029321553,0.000276531,0.000009556565],"category_scores_gemma":[0.00041752163,0.00042343332,0.00009641593,0.00063707586,0.00010069635,0.00018755769,0.0003915271,0.00030275498,0.0000025214204],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025462848,0.0001170177,0.003169505,0.0008509327,0.000037148773,0.000022686214,0.000018181407,0.0013288845,0.9934138,0.0009445259,0.000064793465,0.0000070413457],"study_design_scores_gemma":[0.00072451844,0.00013962512,0.03330381,0.0003524121,0.00014090052,1.021629e-7,0.0000018865092,0.008836518,0.95482385,0.000022791062,0.0009395682,0.00071400916],"about_ca_topic_score_codex":0.000013168389,"about_ca_topic_score_gemma":0.0000021358564,"teacher_disagreement_score":0.03858996,"about_ca_system_score_codex":0.00012140333,"about_ca_system_score_gemma":0.00034389627,"threshold_uncertainty_score":0.9998217},"labels":[],"label_agreement":null},{"id":"W3142970064","doi":"10.1016/j.mbs.2021.108591","title":"Spatially localized cluster solutions in inhibitory neural networks","year":2021,"lang":"en","type":"article","venue":"Mathematical Biosciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; American Institute of Mathematics","keywords":"Monotonic function; Inhibitory postsynaptic potential; Cluster (spacecraft); Artificial neural network; Stability (learning theory); Coupling (piping); Topology (electrical circuits); Neuron; Computer science; Biological system; Physics; Neuroscience; Statistical physics; Mathematics; Artificial intelligence; Biology; Combinatorics; Mathematical analysis; Materials science; Machine learning","score_opus":0.035655542802797535,"score_gpt":0.25938940366188473,"score_spread":0.2237338608590872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3142970064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9085258,0.00007860446,0.06536545,0.009530908,0.00193266,0.00044687506,0.000009684358,0.00018212761,0.013927899],"genre_scores_gemma":[0.9966624,0.000011948172,0.00062686973,0.0021427888,0.00007384362,0.000014812013,0.0000014257184,0.00000763989,0.00045831615],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982357,0.0001870283,0.00032452718,0.00045717502,0.00036638425,0.0004291648],"domain_scores_gemma":[0.99912566,0.000480666,0.000058392267,0.00020410331,0.000029282268,0.00010188588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035324856,0.00012829862,0.00018386028,0.00008167455,0.00021263478,0.00015931757,0.00022765354,0.00007131907,0.00016237015],"category_scores_gemma":[0.0010803698,0.000098406286,0.000073678355,0.0008023909,0.0003719299,0.0002322457,0.00018511766,0.00018759655,0.000049145907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095024705,0.0019007748,0.0015123555,0.00017856622,0.000006428485,0.0005146509,0.0006655672,0.025275528,0.6962484,0.2364246,0.0013880002,0.03579007],"study_design_scores_gemma":[0.0002591162,0.00005112302,0.00026983474,0.0000327396,0.0000038506582,0.000056426143,0.00004118493,0.9664359,0.010227902,0.022195805,0.00026711685,0.00015898245],"about_ca_topic_score_codex":0.000005788822,"about_ca_topic_score_gemma":0.000055513552,"teacher_disagreement_score":0.9411604,"about_ca_system_score_codex":0.000032115633,"about_ca_system_score_gemma":0.00004957925,"threshold_uncertainty_score":0.4012892},"labels":[],"label_agreement":null},{"id":"W3143317852","doi":"10.1007/978-3-030-54173-6_4","title":"What Is Consciousness, and Could Machines Have It?","year":2021,"lang":"en","type":"book-chapter","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Air Force Office of Scientific Research; U.S. Air Force; Agence Nationale de la Recherche; Canadian Institute for Advanced Research","keywords":"Consciousness; Unconscious mind; Computation; Certainty; Computer science; Cognitive science; Neural correlates of consciousness; Psychology; Artificial intelligence; Cognition; Epistemology; Algorithm; Neuroscience","score_opus":0.03299904426564141,"score_gpt":0.2628402414148388,"score_spread":0.2298411971491974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3143317852","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009220555,0.0012594308,0.000059543036,0.014861359,0.0035420114,0.0004060404,0.0001148279,0.0001293082,0.9787054],"genre_scores_gemma":[0.0030138772,0.008973607,0.000023014223,0.02157254,0.00013738101,0.0000038665676,0.000020574858,0.000045065357,0.96621007],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99863255,0.000015769798,0.00021276595,0.0006899873,0.00027826175,0.00017067754],"domain_scores_gemma":[0.9992701,0.00018472045,0.00010850008,0.00029691946,0.0000548164,0.00008496799],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000054230786,0.00029303643,0.00029349953,0.00007505159,0.00014269988,0.0004341795,0.00012220394,0.00023636327,0.002454151],"category_scores_gemma":[0.000038365524,0.0002400568,0.0000964178,0.000019968846,0.00018884447,0.0002620215,0.00017042829,0.0003208224,0.000090508016],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054373104,0.000046240337,0.00006311938,0.00023288354,0.000046151323,0.0006894093,0.00019810507,0.0000038741146,0.032472577,0.79836684,0.08633185,0.08149458],"study_design_scores_gemma":[0.00032676678,0.00009192093,0.000017734748,0.00028976527,0.000054972865,0.0002744149,0.000051385254,0.003724427,0.004018612,0.03250924,0.9579432,0.00069753744],"about_ca_topic_score_codex":0.00001675484,"about_ca_topic_score_gemma":0.00014023212,"teacher_disagreement_score":0.87161136,"about_ca_system_score_codex":0.000019212323,"about_ca_system_score_gemma":0.000037377966,"threshold_uncertainty_score":0.99845773},"labels":[],"label_agreement":null},{"id":"W3144472620","doi":"10.1101/2021.03.25.437091","title":"Parallel and recurrent cascade models as a unifying force for understanding sub-cellular computation","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Mila - Quebec Artificial Intelligence Institute; University of Waterloo; Montreal Neurological Institute and Hospital; University of Ottawa","funders":"","keywords":"Cascade; Computer science; Computation; Artificial neural network; Artificial intelligence; Computational model; Recurrent neural network; Algorithm; Chemistry","score_opus":0.06542212391256745,"score_gpt":0.25529708734915957,"score_spread":0.1898749634365921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3144472620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58699894,0.00037002173,0.410204,0.00022012794,0.0010654713,0.00088451564,0.000072634975,0.00017666229,0.000007662273],"genre_scores_gemma":[0.99553597,0.00053968356,0.0031599554,0.00031746415,0.00017172196,0.00016058175,0.0000014781104,0.00010714526,0.000006005341],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99716944,0.0001652379,0.00045598077,0.001323778,0.0003763303,0.00050923595],"domain_scores_gemma":[0.99848545,0.00028199985,0.00038483192,0.00044859204,0.00018118606,0.00021792819],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003954818,0.00046698595,0.00045252286,0.00022720206,0.00041649767,0.0005846847,0.0002460581,0.0003574462,0.0000028673444],"category_scores_gemma":[0.00032229905,0.0005222888,0.00015765238,0.00035351867,0.00010420497,0.00033818252,0.000372488,0.0005695441,0.00000285492],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006526789,0.00006662865,0.000025904345,0.0004984888,0.000028360948,0.00005077918,0.000024794106,0.009640115,0.96900076,0.020561224,0.000031882486,0.0000057732655],"study_design_scores_gemma":[0.0009919619,0.00014308124,0.0001805949,0.00059668295,0.000117131785,1.9067919e-7,0.000025382786,0.62813884,0.36735508,0.0014153427,0.00010435745,0.00093135395],"about_ca_topic_score_codex":0.000019892073,"about_ca_topic_score_gemma":0.0000035403034,"teacher_disagreement_score":0.61849874,"about_ca_system_score_codex":0.00043800822,"about_ca_system_score_gemma":0.00027812697,"threshold_uncertainty_score":0.9997229},"labels":[],"label_agreement":null},{"id":"W3145267998","doi":"10.1101/2021.04.03.438283","title":"Impaired top-down auditory processing despite extensive single-neuron responses during human sleep","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Israeli Centers for Research Excellence; Azrieli Foundation; Israel Science Foundation; National Science Foundation","keywords":"Non-rapid eye movement sleep; Wakefulness; Neuroscience; Sleep spindle; Psychology; Sleep (system call); Polysomnography; Sensory system; Arousal; Neuroscience of sleep; Stimulation; Audiology; Electroencephalography; Medicine","score_opus":0.024426671287640856,"score_gpt":0.2351661707049466,"score_spread":0.21073949941730574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3145267998","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99344754,0.00035523647,0.00028713874,0.0002785149,0.0037298724,0.0008370202,0.00010349523,0.0009467083,0.000014500573],"genre_scores_gemma":[0.996939,0.00008096925,0.000512065,0.000687559,0.0012799801,0.00017125704,6.423626e-7,0.00026973995,0.000058807185],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9940248,0.0006424009,0.00088543014,0.0025378354,0.0008560828,0.0010534221],"domain_scores_gemma":[0.9961269,0.00022541132,0.0009035658,0.0016485812,0.0006965959,0.00039893104],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00045626922,0.0009565399,0.00082490494,0.00056279794,0.0009975148,0.0011693187,0.00083141064,0.00061262754,0.000051085943],"category_scores_gemma":[0.0018253315,0.0010621691,0.000339522,0.00091221475,0.00030695554,0.00059575925,0.001139659,0.0014657652,0.00003689055],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001216607,0.00023813319,0.0009538208,0.00056900573,0.000025150026,0.0009026343,0.00002763755,0.0002155985,0.9968339,0.000049567847,0.000053309996,0.00000955696],"study_design_scores_gemma":[0.00053425954,0.00014364853,0.118939035,0.00072585867,0.000092644725,5.7000864e-7,0.000008472945,0.0012294459,0.8767098,0.0000031872414,0.0004735145,0.0011395362],"about_ca_topic_score_codex":0.000024831872,"about_ca_topic_score_gemma":0.0000040960213,"teacher_disagreement_score":0.1201241,"about_ca_system_score_codex":0.00061953044,"about_ca_system_score_gemma":0.00051858224,"threshold_uncertainty_score":0.99986756},"labels":[],"label_agreement":null},{"id":"W3146499950","doi":"10.1007/s11071-021-06408-0","title":"Desynchronization of stochastically synchronized neural populations through phase distribution control: a numerical simulation approach","year":2021,"lang":"en","type":"article","venue":"Nonlinear Dynamics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Synchronization (alternating current); Artificial neural network; Computer science; Noise (video); Collocation (remote sensing); Control theory (sociology); Population; Mathematics; Stochastic differential equation; Algorithm; Applied mathematics; Topology (electrical circuits); Artificial intelligence","score_opus":0.04171438060268241,"score_gpt":0.32027010201762046,"score_spread":0.27855572141493806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3146499950","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18010022,0.000015511592,0.8181188,0.00024984367,0.00031133846,0.00030606138,0.0006073898,0.00009159605,0.0001992292],"genre_scores_gemma":[0.985997,0.000006729391,0.010934904,0.00019084808,0.00013202922,0.000013243275,0.002645625,0.00003279791,0.00004678081],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980684,0.0002081477,0.00052173436,0.0004961008,0.00041250314,0.00029309865],"domain_scores_gemma":[0.9986884,0.00031010422,0.0003110569,0.0003126776,0.00029615,0.00008163215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000105983105,0.00020445908,0.0003105364,0.000043530104,0.00024104313,0.00006348871,0.00013419114,0.00013985089,0.0000355904],"category_scores_gemma":[0.0017315716,0.00020395024,0.00013803138,0.00073723675,0.00011543303,0.00032406257,0.000056063545,0.00023275065,0.000007027418],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026127836,0.0012279652,0.00041840714,0.000056376088,0.000014274707,0.00001693349,0.000049165003,0.915173,0.025353022,0.049262255,0.000009079661,0.008158225],"study_design_scores_gemma":[0.002188242,0.00017678007,0.0003729367,0.0000129238615,0.0000611631,0.000033638386,0.000020488864,0.9949929,0.0012050276,0.0006551956,0.000090735455,0.0001899616],"about_ca_topic_score_codex":0.00001404793,"about_ca_topic_score_gemma":0.000013602788,"teacher_disagreement_score":0.8071839,"about_ca_system_score_codex":0.00015883763,"about_ca_system_score_gemma":0.00010037783,"threshold_uncertainty_score":0.83168495},"labels":[],"label_agreement":null},{"id":"W3147351044","doi":"10.1038/s41592-021-01104-8","title":"Miniaturized head-mounted microscope for whole-cortex mesoscale imaging in freely behaving mice","year":2021,"lang":"en","type":"article","venue":"Nature Methods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":110,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"National Institute of Neurological Disorders and Stroke; U.S. Department of Health and Human Services","keywords":"Cortex (anatomy); Dorsum; Visual cortex; Calcium imaging; Neuroscience; Anatomy; Biology; Mesoscale meteorology; Fluorescence microscope; Wakefulness; Microscope; Sensory system; Fluorescence; Chemistry; Calcium; Optics; Electroencephalography; Geology; Physics","score_opus":0.02610142620934025,"score_gpt":0.408457930530595,"score_spread":0.38235650432125473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3147351044","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.947865,0.0019938857,0.035709035,0.0054134317,0.005931617,0.0009433469,0.00020037596,0.0002085337,0.0017347917],"genre_scores_gemma":[0.40923238,0.00004777424,0.5746465,0.010615595,0.00035126475,0.00011361559,0.00009323945,0.00011376073,0.004785903],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974499,0.00063085236,0.0003649511,0.0008542289,0.00022306746,0.00047702747],"domain_scores_gemma":[0.99791354,0.0013801579,0.00013416226,0.00036604775,0.00011820924,0.00008789255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087954383,0.00024397041,0.00034926427,0.00017017689,0.00017438341,0.00014818863,0.0002851369,0.00028380466,0.000030034236],"category_scores_gemma":[0.0024666581,0.00023483743,0.00017568232,0.000766194,0.000063606676,0.00023235449,0.00013008277,0.00091352,0.000005441482],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008302302,0.00009222217,0.0003287107,0.00003154875,0.0000024060073,0.000055213655,0.000082124956,0.000005687965,0.9760034,0.0002577604,0.0005742223,0.022483675],"study_design_scores_gemma":[0.0014054788,0.00004545544,0.0051236902,0.000079827834,0.0000288687,0.00009208337,0.00005669867,0.010054265,0.92347175,0.0014423317,0.05787269,0.00032683584],"about_ca_topic_score_codex":0.000022097003,"about_ca_topic_score_gemma":0.00009046855,"teacher_disagreement_score":0.53893745,"about_ca_system_score_codex":0.00010229133,"about_ca_system_score_gemma":0.000089316716,"threshold_uncertainty_score":0.9576392},"labels":[],"label_agreement":null},{"id":"W3150068860","doi":"10.1109/wsc.2008.4736144","title":"Vesicle-synapsin interactions modeled with Cell-DEVS","year":2008,"lang":"en","type":"article","venue":"2008 Winter Simulation Conference","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Synapsin; Vesicle; Synapsin I; Synaptic vesicle; Cellular automaton; Computer science; Vesicle fusion; Biological system; Biophysics; Chemistry; Biology; Artificial intelligence; Biochemistry","score_opus":0.07085710506811432,"score_gpt":0.2716112537968475,"score_spread":0.20075414872873315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3150068860","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8553875,0.0000034551458,0.13270655,0.00041512598,0.00033659805,0.00023262971,0.00001238744,0.00016186775,0.010743894],"genre_scores_gemma":[0.9921494,0.000009954325,0.00037288884,0.00065665814,0.000067677676,0.000014978038,0.00001029217,0.000021202428,0.006696949],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99875987,0.00007421041,0.00024103929,0.00043398482,0.00025477834,0.00023614026],"domain_scores_gemma":[0.99914163,0.00022705656,0.00012435469,0.00027450785,0.00014235891,0.000090086985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000037291615,0.00018064842,0.00015036388,0.00011543208,0.0002720689,0.00006625596,0.00017526545,0.000046126916,0.0005194505],"category_scores_gemma":[0.000076735545,0.0001500545,0.000053580654,0.00025203987,0.00011523987,0.00055600767,0.000042545504,0.00020614381,0.00029328404],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006247917,0.00044368897,0.0025850253,0.0000239398,0.00001526078,0.00013192417,0.0016002192,0.549942,0.43612668,0.0019971624,0.0019487811,0.004560521],"study_design_scores_gemma":[0.0006309552,0.00016045025,0.0015336131,0.00002326321,0.000007993236,0.00006758748,0.000026495516,0.95865273,0.034989923,0.00018739785,0.0034842577,0.0002353293],"about_ca_topic_score_codex":0.000017733142,"about_ca_topic_score_gemma":0.00001746418,"teacher_disagreement_score":0.40871072,"about_ca_system_score_codex":0.000045710305,"about_ca_system_score_gemma":0.000062265295,"threshold_uncertainty_score":0.6119045},"labels":[],"label_agreement":null},{"id":"W3153739956","doi":"10.1016/j.neuroimage.2021.118050","title":"Coupling between the phase of a neural oscillation or bodily rhythm with behavior: Evaluation of different statistical procedures","year":2021,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"H2020 European Research Council; Agence Nationale de la Recherche; European Commission; Canadian Institute for Advanced Research","keywords":"Logistic regression; Statistics; Resampling; Coupling (piping); Oscillation (cell signaling); Outcome (game theory); Sensitivity (control systems); Statistical hypothesis testing; Psychology; Mathematics; Engineering; Chemistry","score_opus":0.09870317879747381,"score_gpt":0.35813077076445915,"score_spread":0.25942759196698534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3153739956","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976314,0.000008636123,0.0013154382,0.00020469878,0.00012606646,0.00047783964,0.00012963948,0.000021985226,0.00008433916],"genre_scores_gemma":[0.9997014,0.000008666037,0.00006121754,0.00007574399,0.00004351639,0.000028060045,0.00002813426,0.000017334976,0.000035969137],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982311,0.00018170445,0.000305689,0.00033730178,0.0007869318,0.00015728248],"domain_scores_gemma":[0.99876267,0.0005035754,0.00020829786,0.0002533675,0.0002291001,0.000043018725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020044355,0.00012873455,0.00019205932,0.00004550718,0.00010733198,0.00004021126,0.00009639956,0.00002981334,0.00006939872],"category_scores_gemma":[0.0010299301,0.00007526581,0.000040208324,0.0002633879,0.00014684295,0.000118498,0.000048329897,0.00014966514,0.0000011292411],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002764215,0.00033390019,0.008601074,0.00008272641,0.0000058317614,0.00005173031,0.000089609275,0.0011837789,0.97811747,0.00047923956,0.000037317808,0.010740905],"study_design_scores_gemma":[0.0027666017,0.0013410317,0.2800721,0.000054698197,0.00039198523,0.00015749953,0.000054653658,0.4135861,0.30102685,0.0003128982,0.000024942572,0.0002106249],"about_ca_topic_score_codex":0.0000055862315,"about_ca_topic_score_gemma":0.00001813072,"teacher_disagreement_score":0.6770906,"about_ca_system_score_codex":0.000021230286,"about_ca_system_score_gemma":0.0001276984,"threshold_uncertainty_score":0.30692506},"labels":[],"label_agreement":null},{"id":"W3153867352","doi":"10.1101/2021.04.20.440563","title":"Normal development of the brain: a survey of joint structural-functional brain studies","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Neuroscience; Joint (building); Resting state fMRI; Brain development; Modalities; Cognitive psychology; Psychology; Functional Brain Imaging; Human brain; Computer science; Neuroimaging; Cognitive science","score_opus":0.06051534931171479,"score_gpt":0.25222031457416916,"score_spread":0.19170496526245437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3153867352","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99499744,0.00024345523,0.00034858965,0.00062546064,0.0030103766,0.0004851441,0.0002227265,0.000062723644,0.000004093736],"genre_scores_gemma":[0.9983926,0.00003513972,0.000762439,0.0005900434,0.000096017866,0.000050239712,5.920163e-7,0.00005466897,0.00001827647],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99618536,0.00059194723,0.000952565,0.00091526704,0.0009747017,0.00038018564],"domain_scores_gemma":[0.99615186,0.0005721109,0.0009587034,0.0009635716,0.0012544531,0.0000992751],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013631225,0.0004491195,0.00069020997,0.00017593344,0.00028602759,0.00008289989,0.0005475726,0.00024326847,0.000042058],"category_scores_gemma":[0.00562179,0.00035558618,0.00021436367,0.00083302805,0.0003345469,0.00014191376,0.0013431327,0.0006341825,0.0000035206758],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036067606,0.00006252858,0.0061312513,0.0004159504,0.00010428306,0.0000071057752,0.000044760513,0.00033553972,0.99217665,0.0003340461,0.00034620884,0.000005595582],"study_design_scores_gemma":[0.00018915624,0.000018748271,0.4732074,0.00021174601,0.000016593303,3.7937863e-8,0.00000456417,0.00034420067,0.5256424,0.0000021725364,0.00012675849,0.00023622384],"about_ca_topic_score_codex":0.000066653665,"about_ca_topic_score_gemma":0.000063167485,"teacher_disagreement_score":0.46707615,"about_ca_system_score_codex":0.0002700062,"about_ca_system_score_gemma":0.001432247,"threshold_uncertainty_score":0.9998896},"labels":[],"label_agreement":null},{"id":"W3154275012","doi":"10.1016/j.bpj.2021.06.020","title":"A tridomain model for potassium clearance in optic nerve of Necturus","year":2021,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Fundamental Research Funds for the Central Universities; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Fields Institute for Research in Mathematical Sciences","keywords":"Necturus; Extracellular; Convection; Chemistry; Biophysics; Water transport; Water flow; Potassium; Glymphatic system; Flow (mathematics); Ionic bonding; Optic nerve; Work (physics); Ion; Chemical physics; Extracellular fluid; Biological system; Mechanics; Membrane; Neuroscience; Thermodynamics; Soil science; Physics; Environmental science; Biochemistry; Biology","score_opus":0.03262755953328139,"score_gpt":0.26970718380206155,"score_spread":0.23707962426878015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3154275012","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9883462,0.000007620572,0.01028278,0.0009124206,0.0002467154,0.00008679094,0.000015390324,0.0000069093953,0.00009515473],"genre_scores_gemma":[0.9985847,0.000010134234,0.0008694574,0.00016620176,0.00014510732,0.0000049713212,7.9673936e-7,0.000010473952,0.00020815812],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914724,0.00006292445,0.00022696539,0.00018809989,0.0001783708,0.00019639768],"domain_scores_gemma":[0.99957305,0.0001161691,0.00010116172,0.00009855852,0.00004394971,0.00006712989],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009168713,0.00008120301,0.00017074241,0.000046093002,0.00006436336,0.000039974926,0.00011411056,0.00003789735,0.0000063735342],"category_scores_gemma":[0.00024951578,0.000067476656,0.00014753139,0.00024104853,0.000045572717,0.00010929895,0.000028867684,0.0002009269,0.0000026870462],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029866426,0.00015267014,0.000004885205,0.000012571742,0.0000018259607,0.00008413694,0.000032870765,0.00869892,0.9845016,0.004751962,0.00005234549,0.0014075602],"study_design_scores_gemma":[0.000996893,0.00012168685,0.0006836584,0.000022993949,0.000006214339,0.00014542877,0.0000071664144,0.6991513,0.29354528,0.0052202437,0.000020557482,0.000078589685],"about_ca_topic_score_codex":0.0000018942732,"about_ca_topic_score_gemma":0.0000011168542,"teacher_disagreement_score":0.6909563,"about_ca_system_score_codex":0.000035224308,"about_ca_system_score_gemma":0.00007222261,"threshold_uncertainty_score":0.27516183},"labels":[],"label_agreement":null},{"id":"W3156027650","doi":"10.3389/fncir.2021.643360","title":"A Hypothesis for Theta Rhythm Frequency Control in CA1 Microcircuits","year":2021,"lang":"en","type":"article","venue":"Frontiers in Neural Circuits","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Theta rhythm; Rhythm; Neuroscience; Psychology; Control (management); Electroencephalography; Physics; Computer science; Artificial intelligence; Acoustics","score_opus":0.02835743499617086,"score_gpt":0.2322676718625358,"score_spread":0.20391023686636495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156027650","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9825852,0.0009879736,0.0053185155,0.0023494463,0.00443661,0.0012977431,0.00023032595,0.00011034614,0.0026838537],"genre_scores_gemma":[0.9953264,0.0000766245,0.00019537305,0.0032617217,0.0001229796,0.00015334302,0.000008673583,0.00004790456,0.0008070086],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997466,0.00025820124,0.00047486296,0.0008705853,0.00025480622,0.00067551574],"domain_scores_gemma":[0.9988733,0.00046527767,0.00013053842,0.00036683885,0.00006130059,0.00010274606],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022477242,0.0002715583,0.00046011605,0.00027015785,0.00012226413,0.00009175218,0.00029112815,0.0001510482,0.00002621261],"category_scores_gemma":[0.0011974265,0.00027660676,0.00017867183,0.0007606837,0.000087103996,0.00030770226,0.000034169512,0.00032760156,0.00000874565],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005899028,0.00022488518,0.021528471,0.00009688583,0.000013187151,0.00066372467,0.00024678235,0.0003680812,0.881077,0.0014671934,0.0027203597,0.09153442],"study_design_scores_gemma":[0.030500371,0.0010641429,0.17148763,0.00057653576,0.00019914331,0.0019888196,0.0007793245,0.27564338,0.3067418,0.19418718,0.012158395,0.004673284],"about_ca_topic_score_codex":0.000023479484,"about_ca_topic_score_gemma":0.00010666824,"teacher_disagreement_score":0.5743352,"about_ca_system_score_codex":0.00018373971,"about_ca_system_score_gemma":0.00009878528,"threshold_uncertainty_score":0.9999686},"labels":[],"label_agreement":null},{"id":"W3156272347","doi":"10.7202/1076234ar","title":"Siri Fails the Turing Test: Computation, Biosemiosis, and Artificial Life","year":2021,"lang":"en","type":"article","venue":"Recherches sémiotiques","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Turing test; Turing; Cognitive science; Artificial intelligence; Computer science; Test (biology); Artificial neural network; Selection (genetic algorithm); Semiotics; Psychology; Epistemology","score_opus":0.15956030709324,"score_gpt":0.3374651346874864,"score_spread":0.1779048275942464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156272347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9780345,0.0002697994,0.0018797881,0.017317748,0.00025428444,0.00016975876,0.000007644564,0.00017071074,0.0018957993],"genre_scores_gemma":[0.9954136,0.00038796265,0.00086078467,0.002741968,0.00016741469,0.000007366422,0.0000038092476,0.000016619566,0.00040049583],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99865705,0.00043629383,0.0002059308,0.00035947442,0.00014965014,0.00019161896],"domain_scores_gemma":[0.9972341,0.002390401,0.00007092214,0.0001609129,0.00006869088,0.000074951764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004677346,0.00012460923,0.00013330275,0.00003356107,0.0002191906,0.00027614654,0.00010703501,0.0000979003,0.000012213493],"category_scores_gemma":[0.005509385,0.00009095455,0.00004954459,0.00026911372,0.00010750807,0.00019738275,0.000092756825,0.00028425604,0.000014410531],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009886404,0.00007507483,0.0010424609,0.000030881936,0.0000059463014,0.000015822612,0.00050635217,0.000064778535,0.9726489,0.005392466,0.0007854774,0.019421909],"study_design_scores_gemma":[0.000107479995,0.000071989794,0.010262297,0.00004529545,0.000016059064,0.000057976325,0.0002803215,0.01240919,0.94581157,0.02933764,0.0013844739,0.00021571688],"about_ca_topic_score_codex":0.00002868572,"about_ca_topic_score_gemma":0.000043801774,"teacher_disagreement_score":0.026837384,"about_ca_system_score_codex":0.000049510047,"about_ca_system_score_gemma":0.00008284976,"threshold_uncertainty_score":0.6595646},"labels":[],"label_agreement":null},{"id":"W3158131213","doi":"10.1101/748988","title":"Diversity amongst human cortical pyramidal neurons revealed via their sag currents and frequency preferences","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Addiction and Mental Health; University Health Network; University of New Brunswick; University of Toronto; Ontario Brain Institute; Canada Research Chairs","funders":"","keywords":"Neocortex; Neuroscience; Electrophysiology; Cortical neurons; Pyramidal cell; Biology; Population; Cerebral cortex; Hippocampus; Medicine","score_opus":0.032767650709539485,"score_gpt":0.23158956026084226,"score_spread":0.19882190955130277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158131213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99565774,0.00009423764,0.0002589995,0.00011485869,0.002333507,0.00088866457,0.00028690303,0.0003365761,0.000028506327],"genre_scores_gemma":[0.99914587,0.00017686885,0.00007211993,0.00027028224,0.00021096208,0.000041261006,6.5608435e-7,0.000069783295,0.00001220637],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9963859,0.00035874633,0.00047766377,0.0016395561,0.00051308813,0.00062506995],"domain_scores_gemma":[0.9978622,0.00018817025,0.00042214134,0.0010243397,0.00017158147,0.0003315388],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00031899242,0.00061903294,0.0005833365,0.00021041802,0.0011050126,0.0002687084,0.0008078835,0.00043250088,0.000050525414],"category_scores_gemma":[0.000354397,0.0005829447,0.00015322553,0.00033659165,0.00041319832,0.00029737627,0.0029558358,0.0014057726,0.000048286416],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021863452,0.00016314932,0.14234298,0.00023216807,0.000024476645,0.00003572343,0.000019909194,0.000014484126,0.85632694,0.00075177685,0.00006202839,0.00000451749],"study_design_scores_gemma":[0.00059581036,0.00021070601,0.924007,0.0002630389,0.000112053356,9.225599e-8,0.0000024375945,0.0028228941,0.07070666,0.00010725089,0.00015315693,0.0010188963],"about_ca_topic_score_codex":0.00013267125,"about_ca_topic_score_gemma":0.000012030515,"teacher_disagreement_score":0.7856203,"about_ca_system_score_codex":0.00014031466,"about_ca_system_score_gemma":0.00013747088,"threshold_uncertainty_score":0.9996622},"labels":[],"label_agreement":null},{"id":"W3158285700","doi":"10.1101/2021.04.23.441225","title":"Online spike sorting via deep contractive autoencoder","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Group for Research in Decision Analysis","funders":"","keywords":"Spike sorting; Spike (software development); Computer science; Sorting; Autoencoder; Artificial intelligence; Pattern recognition (psychology); Noise (video); Representation (politics); Machine learning; Artificial neural network; Algorithm","score_opus":0.02038526762927185,"score_gpt":0.23740274810883016,"score_spread":0.21701748047955832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158285700","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9714762,0.00025310452,0.02216705,0.0005070695,0.0039787227,0.00075365795,0.0001917968,0.0006427351,0.000029664063],"genre_scores_gemma":[0.9935947,0.00016645307,0.0035554003,0.0016995778,0.0007037861,0.00009787771,0.000001022853,0.00016441917,0.00001674738],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99565494,0.00029499637,0.00076098356,0.0018521191,0.00063923205,0.00079773884],"domain_scores_gemma":[0.99693525,0.00027107346,0.00079733017,0.001228526,0.0004534986,0.00031432908],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038287113,0.0006948619,0.00071591174,0.000242845,0.00033616938,0.0005130263,0.0006397314,0.00056714955,0.0001158564],"category_scores_gemma":[0.0014322472,0.00073801115,0.00029336254,0.0006364131,0.00016069101,0.00036631944,0.0007580562,0.001610342,0.000058247988],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024880248,0.00035933725,0.00060079736,0.00013498544,0.00004016999,0.00033004046,0.000010818372,0.000876659,0.9971926,0.00038730103,0.000025612911,0.000016787224],"study_design_scores_gemma":[0.00070626254,0.00009244982,0.04537917,0.00039203768,0.0001517412,2.333198e-7,0.000009623339,0.13358158,0.8170532,0.000019031482,0.0011318956,0.0014827669],"about_ca_topic_score_codex":0.00006482573,"about_ca_topic_score_gemma":0.000017198077,"teacher_disagreement_score":0.18013941,"about_ca_system_score_codex":0.00033627747,"about_ca_system_score_gemma":0.00045241666,"threshold_uncertainty_score":0.99950707},"labels":[],"label_agreement":null},{"id":"W3158834932","doi":"10.1038/s41467-021-22741-9","title":"Diversity amongst human cortical pyramidal neurons revealed via their sag currents and frequency preferences","year":2021,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":118,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vale (Canada); Toronto Rehabilitation Institute; University Health Network; University of Toronto; Centre for Addiction and Mental Health; Ontario Brain Institute","funders":"National Institute of Neurological Disorders and Stroke; Centre for Addiction and Mental Health","keywords":"Neocortex; Neuroscience; Cortical neurons; Electrophysiology; Pyramidal cell; Biology; Hyperpolarization (physics); Cerebral cortex; Population; Physics; Hippocampus; Nuclear magnetic resonance; Medicine","score_opus":0.056370275490655576,"score_gpt":0.3010608438021928,"score_spread":0.2446905683115372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158834932","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935631,0.00054672424,0.000039110484,0.0025150017,0.00030688682,0.00016185803,0.000056946817,0.00008829961,0.0027220421],"genre_scores_gemma":[0.9983093,0.0005337071,0.00015954675,0.0007413585,0.00002629818,0.000009648704,0.00006310569,0.0000090347985,0.00014798541],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987559,0.00037436665,0.0001701058,0.0003391742,0.00018153636,0.00017892294],"domain_scores_gemma":[0.9982819,0.00044343184,0.000080821745,0.0009968857,0.00009982516,0.00009713464],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.000095492054,0.00012875532,0.00013557888,0.00004878803,0.002243357,0.00006827258,0.00072164455,0.00015304046,0.000035742036],"category_scores_gemma":[0.0004998599,0.00011464136,0.0000558511,0.00032633886,0.00035434958,0.00019021709,0.0019419946,0.0011930952,0.0000074373816],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016243443,0.0008623688,0.2623281,0.00003648706,0.000027559649,0.000022384836,0.001027397,0.0000034022466,0.6394998,0.08881539,0.0012751855,0.006085694],"study_design_scores_gemma":[0.0005573309,0.000116371666,0.9629329,0.000051371895,0.00006675067,0.00007035817,0.00013422902,0.0033980026,0.0076130163,0.020890292,0.00374613,0.00042324496],"about_ca_topic_score_codex":0.00003419629,"about_ca_topic_score_gemma":0.00085887505,"teacher_disagreement_score":0.7006048,"about_ca_system_score_codex":0.000027693217,"about_ca_system_score_gemma":0.000028580573,"threshold_uncertainty_score":0.99905556},"labels":[],"label_agreement":null},{"id":"W3159275413","doi":"10.1101/2021.04.23.441128","title":"Rich and lazy learning of task representations in brains and neural networks","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Medical Research Council; Wellcome Trust; Canadian Institute for Advanced Research","keywords":"Computer science; Artificial neural network; Curse of dimensionality; Artificial intelligence; Coding (social sciences); Human multitasking; Neural coding; Robustness (evolution); Machine learning; Psychology; Neuroscience","score_opus":0.01663431124763581,"score_gpt":0.2326922979027295,"score_spread":0.21605798665509368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159275413","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99740136,0.0004758583,0.00095243833,0.00035309093,0.000373977,0.00032583976,0.000027399234,0.00008268615,0.0000073626234],"genre_scores_gemma":[0.99863386,0.00061390933,0.00022494189,0.00033474958,0.000106881875,0.000033528027,3.0206576e-7,0.00004700624,0.0000048459524],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99785745,0.00029035617,0.00040176723,0.00093289005,0.00021181555,0.0003057037],"domain_scores_gemma":[0.99881375,0.00025608396,0.00029633075,0.00037701672,0.000113996255,0.00014283297],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002700789,0.00027253103,0.00038411506,0.00017729632,0.00012207132,0.00020314293,0.0001757408,0.0002443047,0.0000084886715],"category_scores_gemma":[0.00094855065,0.00030193667,0.000052614596,0.00058926694,0.00015387939,0.00018347116,0.00055796717,0.00086297764,4.505474e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020140335,0.000050529266,0.052914128,0.00016612622,0.000011142769,0.000069657406,0.000042057436,0.012333526,0.9340306,0.00033830502,0.00001373548,0.000010079289],"study_design_scores_gemma":[0.000756991,0.00010931533,0.3880991,0.0002714401,0.000056532597,1.5258796e-7,0.000027176353,0.5368301,0.0730378,0.0000031916684,0.00012796944,0.00068023417],"about_ca_topic_score_codex":0.00006555177,"about_ca_topic_score_gemma":0.000007372798,"teacher_disagreement_score":0.8609928,"about_ca_system_score_codex":0.000035402114,"about_ca_system_score_gemma":0.000076679,"threshold_uncertainty_score":0.99994326},"labels":[],"label_agreement":null},{"id":"W3159705451","doi":"10.1038/s41593-021-00839-z","title":"Adaptive circuit dynamics across human cortex during evidence accumulation in changing environments","year":2021,"lang":"en","type":"article","venue":"Nature Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":98,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"Deutsche Forschungsgemeinschaft","keywords":"Neuroscience; Dynamics (music); Cortex (anatomy); Biology; Psychology","score_opus":0.06783954347339885,"score_gpt":0.3328052364282988,"score_spread":0.2649656929548999,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159705451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99701464,0.000052554235,0.0009026011,0.00024176162,0.0011713513,0.00024212606,0.00002284978,0.00006260831,0.00028951763],"genre_scores_gemma":[0.99674565,0.00007259523,0.000018886909,0.0016171549,0.00006667349,0.000014762403,0.000004567044,0.000023733839,0.0014359977],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99694294,0.00016665671,0.00029318343,0.0011801801,0.00072595035,0.0006910857],"domain_scores_gemma":[0.99907213,0.00020959861,0.00016566766,0.0004197998,0.000027699638,0.00010511085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027018474,0.00022527926,0.00018646925,0.00022957032,0.00065647264,0.00019534139,0.00046047976,0.00019082609,0.000011586608],"category_scores_gemma":[0.0013005809,0.00023698814,0.00007176951,0.0021279783,0.00018996627,0.0010229298,0.00036145383,0.00091231515,0.000012759644],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014788266,0.000062304636,0.0057609016,0.000011399069,2.8822564e-7,0.0002723223,0.00015685333,0.0013983018,0.9886373,0.002916011,0.0000016260688,0.00076785876],"study_design_scores_gemma":[0.00052873895,0.000112195106,0.5989575,0.00017171397,0.0000055531464,0.00020658452,0.00016114039,0.11752598,0.28075477,0.00097799,0.00012611032,0.00047174096],"about_ca_topic_score_codex":0.0000061820983,"about_ca_topic_score_gemma":0.00005535296,"teacher_disagreement_score":0.7078826,"about_ca_system_score_codex":0.00029268654,"about_ca_system_score_gemma":0.000040321516,"threshold_uncertainty_score":0.96640956},"labels":[],"label_agreement":null},{"id":"W3160341666","doi":"10.1002/hbm.25422","title":"How cerebral cortex protects itself from interictal spikes: The alpha/beta inhibition mechanism","year":2021,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; École de Technologie Supérieure; McGill University; Montreal Neurological Institute and Hospital","funders":"Fonds de Recherche du Québec - Santé; Fonds de recherche du Québec – Nature et technologies; Canadian Institutes of Health Research; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; American Epilepsy Society","keywords":"Neuroscience; BETA (programming language); Alpha (finance); Mechanism (biology); Cerebral cortex; Ictal; Beta Rhythm; Electroencephalography; Psychology; Physics; Developmental psychology; Computer science","score_opus":0.040782813619944625,"score_gpt":0.2382924888292648,"score_spread":0.19750967520932017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160341666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97255737,0.00001931762,0.01214796,0.012402412,0.0007370823,0.0005236406,0.00003372169,0.00020428977,0.0013742198],"genre_scores_gemma":[0.990939,0.0000037034742,0.00013439303,0.0054818797,0.0004140952,0.000055492965,0.00005445237,0.000035355584,0.0028815994],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99802345,0.00029687394,0.00024589934,0.0006994565,0.00036312593,0.00037119805],"domain_scores_gemma":[0.9990448,0.00022562602,0.00017688941,0.00041969505,0.000057255864,0.00007576831],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020137882,0.00023243378,0.00019879009,0.0000814093,0.0007815997,0.0005942605,0.00024253741,0.0000924341,0.00020186123],"category_scores_gemma":[0.00037289195,0.00018900374,0.0001370562,0.00036138546,0.00010043424,0.00037451673,0.00024783335,0.00038352076,0.000048014852],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005751629,0.000035066056,0.000017451664,0.00001800392,0.000005949235,0.000095623516,0.0004939164,0.0000021930357,0.9619617,0.035943292,0.0007606384,0.0006604245],"study_design_scores_gemma":[0.0016226387,0.00029978112,0.017412016,0.0004130522,0.00003126428,0.00023714568,0.0023766242,0.009884661,0.826306,0.12395938,0.016465072,0.0009923951],"about_ca_topic_score_codex":0.000027790325,"about_ca_topic_score_gemma":0.00006233857,"teacher_disagreement_score":0.13565572,"about_ca_system_score_codex":0.00006750328,"about_ca_system_score_gemma":0.000034390843,"threshold_uncertainty_score":0.7707349},"labels":[],"label_agreement":null},{"id":"W3160391390","doi":"10.31234/osf.io/dr7zh","title":"Connectomics of Human Electrophysiology","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"Engineering and Physical Sciences Research Council","keywords":"Connectomics; Connectome; Electrophysiology; Neuroscience; Computer science; Human Connectome Project; Psychology; Functional connectivity","score_opus":0.03684115527379639,"score_gpt":0.2815907321020834,"score_spread":0.24474957682828702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160391390","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939295,0.000010761788,0.0003150405,0.00014854579,0.0006421319,0.00012724487,0.000009435523,0.000047026555,0.0047702803],"genre_scores_gemma":[0.9982806,0.000067914225,0.00008508566,0.0007682329,0.00006737606,0.000007730054,0.000032789372,0.000013888509,0.00067637226],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99897456,0.00009418331,0.00021830463,0.0004577734,0.00010404976,0.00015115073],"domain_scores_gemma":[0.9993105,0.00010898666,0.00015574187,0.0003503059,0.000047525333,0.000026936996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000040711213,0.00013027425,0.00027537358,0.000059311013,0.00004344836,0.00002663851,0.00022225617,0.00015488121,0.00022938193],"category_scores_gemma":[0.00014513095,0.00011634649,0.00012706443,0.00008577419,0.000073109564,0.000022814575,0.00043492633,0.000349428,0.000005269181],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000069686375,0.00004012929,0.000011200399,0.000043371798,0.000003802432,0.0000072370613,0.000012476747,0.00013951516,0.98173755,0.017669473,0.00011885363,0.00020941047],"study_design_scores_gemma":[0.00010208105,0.00013932679,0.0003350488,0.000016738208,0.000009556447,0.0000070227243,0.000009891035,0.0037551222,0.9833496,0.012064967,0.00006337362,0.00014727283],"about_ca_topic_score_codex":0.000046228113,"about_ca_topic_score_gemma":0.000020960122,"teacher_disagreement_score":0.0056045046,"about_ca_system_score_codex":0.000025620215,"about_ca_system_score_gemma":0.000060823717,"threshold_uncertainty_score":0.47444722},"labels":[],"label_agreement":null},{"id":"W3160435018","doi":"10.1177/0271678x211013656","title":"Frequency selective neuronal modulation triggers spreading depolarizations in the rat endothelin-1 model of stroke","year":2021,"lang":"en","type":"article","venue":"Journal of Cerebral Blood Flow & Metabolism","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; Krembil Foundation; University of Toronto; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Ischemia; Premovement neuronal activity; Optogenetics; Stimulation; Local field potential; Medicine; Chemistry; Biology; Internal medicine","score_opus":0.02172489094026075,"score_gpt":0.23984362974930967,"score_spread":0.21811873880904892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160435018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98867387,0.00018135295,0.009140024,0.00064451236,0.00071317394,0.0001502252,0.00006582643,0.000008215525,0.00042278442],"genre_scores_gemma":[0.9958363,0.00013390754,0.00311075,0.0005299545,0.00023085471,0.0000031231584,0.0000034291443,0.000018747656,0.00013293614],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99775857,0.0004625699,0.000696817,0.00023258585,0.0006109712,0.0002385061],"domain_scores_gemma":[0.9986769,0.00031534507,0.00050036184,0.00018743532,0.0002531432,0.0000668234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041936248,0.00016310277,0.00035028864,0.0002523692,0.00012812475,0.00007737964,0.0002909656,0.00007501861,0.000020907413],"category_scores_gemma":[0.00093478785,0.00011982677,0.00024043655,0.00063464633,0.00005461749,0.00062627345,0.0000330594,0.0005326403,0.0000012213272],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031848263,0.00020837123,0.0009986552,0.000008094509,0.000019989131,0.000019761548,0.00037205248,0.06245804,0.92718077,0.0076557263,0.000011736145,0.0010349416],"study_design_scores_gemma":[0.0019394327,0.00010295307,0.007836689,0.0000306963,0.00021969466,0.00034445658,0.00008777092,0.2463605,0.7295219,0.013352944,0.000028462684,0.00017450594],"about_ca_topic_score_codex":0.000011356581,"about_ca_topic_score_gemma":0.000020589172,"teacher_disagreement_score":0.19765888,"about_ca_system_score_codex":0.00002312995,"about_ca_system_score_gemma":0.00024160168,"threshold_uncertainty_score":0.48863938},"labels":[],"label_agreement":null},{"id":"W3160656355","doi":"10.1016/j.patter.2021.100268","title":"The overfitted brain hypothesis","year":2021,"lang":"en","type":"article","venue":"Patterns","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University; Canadian Institute for Advanced Research; Mila - Quebec Artificial Intelligence Institute","funders":"","keywords":"Overfitting; Cognitive science; Psychology; Generative grammar; Computer science; Artificial intelligence; Cognitive psychology; Neuroscience; Machine learning; Artificial neural network","score_opus":0.03817213417258606,"score_gpt":0.247623851910012,"score_spread":0.20945171773742594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160656355","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9826912,0.0000145539825,0.00033214779,0.013394565,0.00057318277,0.000052329386,0.00002042685,0.00004714356,0.0028744156],"genre_scores_gemma":[0.9878085,0.0000519813,0.000010377459,0.007304488,0.00008457674,0.0000070037972,0.000001399123,0.000010094437,0.0047215777],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99930274,0.0000974341,0.000085716856,0.00020465454,0.0001459925,0.00016346593],"domain_scores_gemma":[0.9988327,0.0008631144,0.000030197245,0.00022564443,0.000016067394,0.000032278527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000068422436,0.0000611001,0.000049653157,0.000011495575,0.00020807235,0.00010153047,0.00012095518,0.000020059113,0.00021313442],"category_scores_gemma":[0.00074310834,0.000041483312,0.000046488258,0.00012457394,0.000023644041,0.000048497153,0.000055937842,0.00008092578,0.00012197731],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000086267455,0.00003147545,0.0049302964,0.0000059632303,0.0000034157295,0.00007585424,0.00004263196,0.0000074202158,0.94250053,0.0037916773,0.003938442,0.04466365],"study_design_scores_gemma":[0.00033242846,0.00004780931,0.11525819,0.00001792416,0.000008061693,0.00009800267,0.000071827926,0.0033381355,0.78487575,0.0075020604,0.0882137,0.00023612916],"about_ca_topic_score_codex":0.000010506738,"about_ca_topic_score_gemma":0.00006922308,"teacher_disagreement_score":0.15762481,"about_ca_system_score_codex":0.000013711358,"about_ca_system_score_gemma":0.0000135418595,"threshold_uncertainty_score":0.23336723},"labels":[],"label_agreement":null},{"id":"W3161774031","doi":"10.21203/rs.3.rs-518209/v1","title":"How Spatial Attention Affects the Decision Process: Looking through the Lens of Bayesian Hierarchical Diffusion Model &amp;amp; EEG Analysis","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Bayesian probability; Bayesian inference; Computer science; Artificial intelligence; Bayesian hierarchical modeling; Cognition; Perception; Pattern recognition (psychology); Psychology; Machine learning; Neuroscience","score_opus":0.07915721128653534,"score_gpt":0.37530683192906344,"score_spread":0.2961496206425281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161774031","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7203621,0.00010296927,0.27260163,0.0051844614,0.00024435722,0.0011302955,0.00007389645,0.000032145897,0.00026811028],"genre_scores_gemma":[0.9976365,0.0006402562,0.0003860768,0.00010020962,0.000175905,0.00016115591,0.00018439168,0.00004616356,0.00066934107],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9923973,0.0019219125,0.00041830775,0.0013057928,0.0032560164,0.00070066936],"domain_scores_gemma":[0.99494135,0.0023934296,0.0003203818,0.0016611054,0.0005800456,0.000103707665],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0017217799,0.00035923137,0.00053062954,0.0004572695,0.0011049057,0.0009141471,0.0012155607,0.00035587646,0.00006895115],"category_scores_gemma":[0.0038488123,0.00020539014,0.0006960357,0.0022015856,0.00055050344,0.0002996873,0.002007876,0.0026102853,0.000008430499],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011663811,0.0015509907,0.006194726,0.002594832,0.00049128826,0.000078173965,0.007729818,0.325348,0.57585794,0.00604447,0.0007153436,0.07222805],"study_design_scores_gemma":[0.0004233292,0.00013326878,0.011239411,0.00095117907,0.00025845354,0.000010399261,0.00055514707,0.95769006,0.0032954123,0.024565019,0.00045323078,0.00042507492],"about_ca_topic_score_codex":0.00034374982,"about_ca_topic_score_gemma":0.0021230567,"teacher_disagreement_score":0.6323421,"about_ca_system_score_codex":0.00016693758,"about_ca_system_score_gemma":0.00031131582,"threshold_uncertainty_score":0.9996907},"labels":[],"label_agreement":null},{"id":"W3161817262","doi":"10.1103/physreve.104.024305","title":"Breakdown of random matrix universality in Markov models","year":2021,"lang":"en","type":"article","venue":"Physical review. E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"European Research Council; Natural Sciences and Engineering Research Council of Canada; Novo Nordisk Fonden; Novo Nordisk","keywords":"Statistical physics; Universality (dynamical systems); Markov chain; Random matrix; Hidden Markov model; Stochastic matrix; Markov process; Computer science; Markov model; Leverage (statistics); Phase transition; Mathematics; Algorithm; Artificial intelligence; Eigenvalues and eigenvectors; Physics; Machine learning; Statistics; Quantum mechanics","score_opus":0.028036486189541958,"score_gpt":0.3234711825571614,"score_spread":0.29543469636761943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161817262","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98554534,0.0013382732,0.00071910064,0.0019426084,0.0001428157,0.00033268007,0.00002698009,0.000027241686,0.009924987],"genre_scores_gemma":[0.9943932,0.0046200748,0.000034207296,0.0006414801,0.000027516551,0.0000053046992,0.0000033747142,0.0000064501332,0.0002683511],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902976,0.00021043609,0.0001934813,0.00025281627,0.00018723813,0.00012629795],"domain_scores_gemma":[0.99936503,0.0002657388,0.00007441799,0.0002184754,0.000035653735,0.000040662104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013534797,0.00008128053,0.00031611387,0.000019415309,0.000019105937,0.000009027358,0.00009885998,0.000014369222,0.00003551882],"category_scores_gemma":[0.00032686393,0.000067657595,0.00014215577,0.00041660128,0.00004093347,0.00013706485,0.00006743886,0.00011247801,0.00001701068],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011314312,0.00054256176,0.00014352567,0.0011418068,0.00000528623,0.000067823734,0.000046851437,0.0004925118,0.8301566,0.14482272,0.0006419673,0.02182519],"study_design_scores_gemma":[0.0051513263,0.00021105813,0.0032897708,0.0030727868,0.00016566864,0.000052622992,0.00002831895,0.42862213,0.2653186,0.27900225,0.014199363,0.00088609493],"about_ca_topic_score_codex":0.00002430071,"about_ca_topic_score_gemma":0.000005147988,"teacher_disagreement_score":0.564838,"about_ca_system_score_codex":0.000022327398,"about_ca_system_score_gemma":0.000032206968,"threshold_uncertainty_score":0.27589968},"labels":[],"label_agreement":null},{"id":"W3162118785","doi":"10.1073/pnas.2012075118","title":"Coupling between slow waves and sharp-wave ripples engages distributed neural activity during sleep in humans","year":2021,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"National Institute of Neurological Disorders and Stroke; Defense Advanced Research Projects Agency; National Institutes of Health","keywords":"Neuroscience; Hippocampal formation; Memory consolidation; Local field potential; Psychology; Hippocampus; Electrophysiology; Premovement neuronal activity","score_opus":0.07594969946837503,"score_gpt":0.2962650573019838,"score_spread":0.22031535783360878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162118785","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971235,0.00003133241,0.0000011975709,0.002434883,0.000023267039,0.00010170672,0.000059598733,0.000012029098,0.00021251118],"genre_scores_gemma":[0.9997264,0.000035815498,0.00006913579,0.00006273073,0.000053188163,0.0000040466157,3.2853663e-7,0.0000037007028,0.00004462587],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99854684,0.0000130621465,0.0002281714,0.00036277715,0.00067668286,0.00017244565],"domain_scores_gemma":[0.99926704,0.00035963499,0.00024418053,0.000008618188,0.000088954206,0.00003155404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059690926,0.00009611272,0.00015619943,0.000116223484,0.00036571635,0.000062604384,0.00027282434,0.00005830289,0.000004415],"category_scores_gemma":[0.0014208907,0.00007113109,0.00004711261,0.00076449325,0.00051515293,0.0005964868,0.00022669681,0.00027814842,1.5756794e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008069144,0.000022713188,0.035289023,0.00004541686,0.0000023902844,7.6849034e-8,0.00007133445,0.00041378153,0.95996034,0.004022308,0.000005649178,0.00015889],"study_design_scores_gemma":[0.00010393805,0.000011951494,0.4437671,0.000035975576,0.0000034672373,0.0000055128803,0.00005525803,0.019733358,0.5317253,0.004501973,0.0000041461267,0.000052037805],"about_ca_topic_score_codex":0.000004453687,"about_ca_topic_score_gemma":3.4195264e-7,"teacher_disagreement_score":0.42823505,"about_ca_system_score_codex":0.0000311515,"about_ca_system_score_gemma":0.000013900299,"threshold_uncertainty_score":0.2900642},"labels":[],"label_agreement":null},{"id":"W3162387835","doi":"10.1007/s10699-021-09798-x","title":"A Geometric Milieu Inside the Brain","year":2021,"lang":"en","type":"article","venue":"Foundations of Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Topology (electrical circuits); Neuroscience; Physics; Nonlinear system; Mathematics; Biology; Combinatorics","score_opus":0.04071271507891049,"score_gpt":0.29342373851543785,"score_spread":0.25271102343652735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162387835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98026574,0.000019366838,0.0021474042,0.008458349,0.00063337095,0.00010321838,0.000007625949,0.000025040756,0.008339907],"genre_scores_gemma":[0.9962222,0.000016502585,0.0005329863,0.001534374,0.000022918872,0.000005647201,0.0000012905737,0.0000032025541,0.0016608854],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99891984,0.00004345964,0.00014793711,0.0002862311,0.0004352262,0.00016727536],"domain_scores_gemma":[0.9988166,0.00055963534,0.000071918825,0.00034957772,0.00016099369,0.000041287483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004083981,0.000051625942,0.00005901035,0.0002171984,0.00065206183,0.00012105755,0.00041859807,0.000012977361,0.000102592785],"category_scores_gemma":[0.006008173,0.000036775575,0.0000358128,0.0051882653,0.0012077854,0.00040354946,0.00014600823,0.00008006893,0.000055495682],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015263155,0.000039287475,0.00018126496,0.0000028445197,5.1193103e-7,0.0000023839923,0.00007894441,0.00018369513,0.9517243,0.038871523,0.00044566367,0.008468078],"study_design_scores_gemma":[0.00023728402,0.00009443787,0.036178116,0.000015709431,0.0000076761025,0.0001009413,0.00028999834,0.011475181,0.90279967,0.013810257,0.034812987,0.00017774338],"about_ca_topic_score_codex":0.00001662922,"about_ca_topic_score_gemma":0.00001636806,"teacher_disagreement_score":0.048924606,"about_ca_system_score_codex":0.00003128147,"about_ca_system_score_gemma":0.0002754508,"threshold_uncertainty_score":0.7192778},"labels":[],"label_agreement":null},{"id":"W3162592107","doi":"10.1038/s42003-021-02087-0","title":"Coupled oscillations enable rapid temporal recalibration to audiovisual asynchrony","year":2021,"lang":"en","type":"article","venue":"Communications Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; Canada First Research Excellence Fund; Health Canada; National Institutes of Health; Fondation Brain Canada; McGill University","keywords":"Magnetoencephalography; Stimulus onset asynchrony; Stimulus (psychology); Rhythm; Perception; Asynchrony (computer programming); Neuroscience; Sensory system; Psychology; Electroencephalography; Computer science; Cognitive psychology; Physics; Asynchronous communication; Acoustics","score_opus":0.07806876854516138,"score_gpt":0.33096835594161966,"score_spread":0.2528995873964583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162592107","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7489472,0.0011331548,0.062241245,0.113713376,0.0027353412,0.0016919321,0.00029720634,0.00094769604,0.06829288],"genre_scores_gemma":[0.99051946,0.0003262191,0.004401168,0.0029192774,0.00006733394,0.000069664515,0.00031570194,0.000014351548,0.0013668105],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986063,0.00047825565,0.00027626273,0.00034868607,0.0000758353,0.00021461923],"domain_scores_gemma":[0.9978923,0.00051708263,0.00008649778,0.0012978815,0.000118326076,0.00008788537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017817401,0.00010917105,0.00015030455,0.00010680756,0.000544369,0.00006452227,0.00050540385,0.00009566547,0.00027340045],"category_scores_gemma":[0.0009983868,0.0001080249,0.0000595107,0.00071408885,0.00016105703,0.000145952,0.0004542446,0.00017514612,0.00022833777],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001375085,0.00012060122,0.0009452246,0.0000033764597,0.000005730509,0.0000015878765,0.000071246184,0.00011400577,0.91195697,0.07908133,0.0016742051,0.0060119526],"study_design_scores_gemma":[0.0008165406,0.0005397254,0.0032578367,0.000027684482,0.000031264794,0.00009630803,0.00016020786,0.14868318,0.115204684,0.018728059,0.71183896,0.00061558],"about_ca_topic_score_codex":0.000028004237,"about_ca_topic_score_gemma":0.00013935727,"teacher_disagreement_score":0.79675233,"about_ca_system_score_codex":0.00006109792,"about_ca_system_score_gemma":0.00012990888,"threshold_uncertainty_score":0.44051278},"labels":[],"label_agreement":null},{"id":"W3162663886","doi":"10.1093/nc/niab018","title":"Towards a computational phenomenology of mental action: modelling meta-awareness and attentional control with deep parametric active inference","year":2021,"lang":"en","type":"article","venue":"Neuroscience of Consciousness","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":115,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Université de Lyon; H2020 European Research Council; Agence Nationale de la Recherche; Social Sciences and Humanities Research Council of Canada; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Wellcome Trust","keywords":"Inference; Cognition; Cognitive psychology; Consciousness; Action selection; Psychology; Phenomenology (philosophy); Perception; Cognitive science; Cognitive architecture; Cognitive model; Artificial intelligence; Computer science; Epistemology","score_opus":0.08354634800782881,"score_gpt":0.3055254311453813,"score_spread":0.22197908313755246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162663886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8683767,0.000039989874,0.13038512,0.00049815554,0.00027664064,0.00018951108,0.0000926603,0.000020386078,0.00012085897],"genre_scores_gemma":[0.9989028,0.000045856486,0.000546971,0.00042021894,0.000011113902,0.000023664375,0.00000385726,0.000009961108,0.00003557003],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980288,0.00018712689,0.0003291701,0.0006165924,0.00060281524,0.00023549562],"domain_scores_gemma":[0.99855685,0.00056632474,0.00032184747,0.00015054422,0.00032133222,0.0000830873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014172631,0.00017931762,0.0004324818,0.0002105488,0.00023712621,0.00005041388,0.00020507652,0.000051119492,0.00003618405],"category_scores_gemma":[0.0002786863,0.00014635887,0.00008712376,0.001004469,0.0009097684,0.00039002587,0.00008866002,0.00014916372,6.840353e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044159385,0.00053729996,0.004978617,0.000097926975,0.00007884048,0.000051610274,0.00023268917,0.43565038,0.52475286,0.028219398,0.0000034208242,0.004955391],"study_design_scores_gemma":[0.0019429647,0.00056070805,0.018489836,0.000024125326,0.00028800432,0.0003702024,0.00019878706,0.8764986,0.09421695,0.0070049176,0.00006660921,0.00033833916],"about_ca_topic_score_codex":0.000028231436,"about_ca_topic_score_gemma":0.000021104499,"teacher_disagreement_score":0.44084817,"about_ca_system_score_codex":0.000024903233,"about_ca_system_score_gemma":0.00028286088,"threshold_uncertainty_score":0.5968342},"labels":[],"label_agreement":null},{"id":"W3163063056","doi":"10.1038/s41467-021-23747-z","title":"Transforming absolute value to categorical choice in primate superior colliculus during value-based decision making","year":2021,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Chinese Academy of Sciences","keywords":"Superior colliculus; Categorical variable; Value (mathematics); Neuroscience; Superior Colliculi; Computer science; Foraging; Fixation (population genetics); Perception; Midbrain; Artificial intelligence; Machine learning; Psychology; Biology; Visual system; Visual cortex; Central nervous system","score_opus":0.026715693063105825,"score_gpt":0.3274892688961658,"score_spread":0.30077357583305997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3163063056","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9877658,0.00039183968,0.0021850856,0.0075788596,0.00039883552,0.00047198182,0.000024892057,0.00010977615,0.0010729566],"genre_scores_gemma":[0.9912767,0.00009901794,0.005994821,0.0024180193,0.000032704487,0.00006917143,0.000015960342,0.000027085649,0.0000665124],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983776,0.00022752232,0.00034068676,0.00041923346,0.00031517007,0.00031976902],"domain_scores_gemma":[0.99747247,0.0011365749,0.000057268928,0.0011541875,0.00008852774,0.00009096553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020958466,0.00015938382,0.00019091502,0.00019700876,0.0005374142,0.00012670239,0.0007969953,0.00019656848,0.000014005531],"category_scores_gemma":[0.0013462913,0.00016001133,0.000094381365,0.0014237731,0.000049207527,0.00020131958,0.00028348243,0.00093733374,0.000020890537],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007769584,0.00031601387,0.0015240563,0.00003465986,0.0000046573427,0.00005727254,0.00028116276,0.008883968,0.9556993,0.027797464,0.0000797273,0.0052439766],"study_design_scores_gemma":[0.0035681694,0.00017172312,0.19303788,0.00078882824,0.00007984396,0.00029460105,0.00017623902,0.29059586,0.44882777,0.00320129,0.057760324,0.0014974783],"about_ca_topic_score_codex":0.000034035504,"about_ca_topic_score_gemma":0.0010040554,"teacher_disagreement_score":0.5068716,"about_ca_system_score_codex":0.00027319868,"about_ca_system_score_gemma":0.00013191559,"threshold_uncertainty_score":0.65250725},"labels":[],"label_agreement":null},{"id":"W3164014056","doi":"10.1002/hbm.25539","title":"The balance between Bayesian inference and default mode determines the generation of tinnitus from decreased auditory input: A volume entropy‐based study","year":2021,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"Division of Mathematical Sciences; Ministry of Science and ICT, South Korea; Seoul National University; National Research Foundation; National Research Foundation of Korea; Seoul National University Bundang Hospital","keywords":"Tinnitus; Default mode network; Auditory cortex; Posterior cingulate; Psychology; Anterior cingulate cortex; Entorhinal cortex; Prefrontal cortex; Neuroscience; Audiology; Orbitofrontal cortex; Hippocampal formation; Medicine; Functional magnetic resonance imaging; Cognition","score_opus":0.05309769249985819,"score_gpt":0.2884202126922649,"score_spread":0.23532252019240674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164014056","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872094,0.00003282061,0.011022307,0.001065451,0.00021932399,0.00032841327,0.000028669436,0.000036118145,0.000057494337],"genre_scores_gemma":[0.99866414,0.0000048282573,0.00009339915,0.0005774703,0.00040453344,0.00003436573,0.000025402851,0.000014771339,0.00018109352],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9982225,0.000521446,0.00032753547,0.00041729756,0.0002980305,0.00021321676],"domain_scores_gemma":[0.9979406,0.0013072672,0.00020921271,0.00041444894,0.00007297796,0.000055517587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002857413,0.0001553698,0.00018245926,0.00004465761,0.00088518165,0.00020349713,0.00024963243,0.000045689572,0.000015728492],"category_scores_gemma":[0.0010915081,0.000108600674,0.00005090798,0.00021096959,0.0001388402,0.00011621677,0.000107977176,0.00017503744,0.000002408448],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007900987,0.000048187117,0.04406193,0.000009704672,0.0000101822825,0.000011427172,0.00037588333,0.0001767535,0.9530332,0.0002706196,0.00030109295,0.0016931315],"study_design_scores_gemma":[0.0010131617,0.00015142294,0.65189993,0.00006846653,0.000038769183,0.000002828444,0.00038463777,0.32419327,0.018013513,0.0025413355,0.0014043081,0.00028837365],"about_ca_topic_score_codex":0.00012804888,"about_ca_topic_score_gemma":0.00040455404,"teacher_disagreement_score":0.9350197,"about_ca_system_score_codex":0.000028846793,"about_ca_system_score_gemma":0.000064179876,"threshold_uncertainty_score":0.68081915},"labels":[],"label_agreement":null},{"id":"W3164386808","doi":"10.1101/2021.05.26.445816","title":"Maximally predictive ensemble dynamics from data","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"Okinawa Institute of Science and Technology Graduate University","keywords":"Computer science; Statistical physics; Operator (biology); Parameterized complexity; Leverage (statistics); Langevin dynamics; Scalability; Algorithm; Artificial intelligence; Physics","score_opus":0.031687678289213025,"score_gpt":0.23190238478538702,"score_spread":0.200214706496174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164386808","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.965756,0.000265356,0.020091923,0.0005128201,0.005004842,0.00077063893,0.006826384,0.00068876764,0.00008326964],"genre_scores_gemma":[0.9943273,0.00055909256,0.0033610314,0.00083017553,0.00063386874,0.00007681896,0.000019130115,0.0001769175,0.000015644355],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99490005,0.00031010056,0.0006027702,0.0028001561,0.0007254733,0.0006614249],"domain_scores_gemma":[0.9946393,0.00029345928,0.00050977693,0.0039440906,0.0003086113,0.0003047959],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00037840684,0.00067955046,0.000649563,0.00021183277,0.00026284612,0.0007655661,0.002012344,0.00061155815,0.000090218586],"category_scores_gemma":[0.0012320944,0.0007469612,0.0001574176,0.000628132,0.00017168788,0.000561759,0.0036438233,0.0013463929,0.00008467936],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060049704,0.00020367546,0.0011929102,0.00010883328,0.00007476164,0.00036188064,0.0000062111735,0.00021705472,0.99659735,0.00080701185,0.0003584885,0.000011766479],"study_design_scores_gemma":[0.00091345416,0.00014233986,0.044816833,0.0006879513,0.00034415032,1.1394825e-7,0.000011365372,0.34880942,0.59858304,0.00004198694,0.0035586301,0.002090735],"about_ca_topic_score_codex":0.00024178656,"about_ca_topic_score_gemma":0.000048052407,"teacher_disagreement_score":0.39801434,"about_ca_system_score_codex":0.0004229454,"about_ca_system_score_gemma":0.00074558833,"threshold_uncertainty_score":0.9994981},"labels":[],"label_agreement":null},{"id":"W3164460121","doi":"10.21203/rs.3.rs-472545/v1","title":"Exploring Electroencephalography with the Aid of Quantum Mechanics","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research; Canada Excellence Research Chairs, Government of Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Electroencephalography; Brain activity and meditation; Task (project management); Resting state fMRI; Object (grammar); Psychology; Quantum; Cognition; Cognitive science; Computer science; Neuroscience; Cognitive psychology; Artificial intelligence; Physics; Quantum mechanics","score_opus":0.19815586624790135,"score_gpt":0.3521825894930081,"score_spread":0.15402672324510677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164460121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920805,0.00021962958,0.004183451,0.0018361913,0.0003704129,0.0008407737,0.00003602167,0.00006455861,0.00036847685],"genre_scores_gemma":[0.99745464,0.001940504,0.000040652907,0.00006765898,0.00009660211,0.00029427174,0.000016293136,0.00003716455,0.000052220348],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9960418,0.00081783766,0.00021894935,0.0007541474,0.0015509254,0.0006163828],"domain_scores_gemma":[0.99773824,0.00073280314,0.00012761916,0.00087567745,0.00043215574,0.000093519164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00099869,0.00020712259,0.00027034042,0.00034800585,0.00033437271,0.00021028581,0.0007579329,0.00010119768,0.000034081164],"category_scores_gemma":[0.00053068786,0.00013055386,0.00017961288,0.0014036746,0.00021125172,0.00017389648,0.0008846883,0.0019166432,0.0000049460095],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005370258,0.00047473348,0.00050349784,0.0019565516,0.00008883321,0.00037804706,0.0017661218,0.0047142706,0.84302133,0.13945585,0.00054122973,0.006562515],"study_design_scores_gemma":[0.0013425761,0.0052445047,0.0050797197,0.003642993,0.00009344488,0.0001422767,0.008527478,0.14026706,0.78217536,0.046387076,0.00555665,0.0015408613],"about_ca_topic_score_codex":0.00012634466,"about_ca_topic_score_gemma":0.00006809916,"teacher_disagreement_score":0.1355528,"about_ca_system_score_codex":0.00006723945,"about_ca_system_score_gemma":0.00026975133,"threshold_uncertainty_score":0.83269674},"labels":[],"label_agreement":null},{"id":"W3164738374","doi":"10.1038/s41598-021-90413-1","title":"Synergistic population coding of natural communication stimuli by hindbrain electrosensory neurons","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Hindbrain; Stimulus (psychology); Neural coding; Population; Neuroscience; Coding (social sciences); Electric fish; Perception; ENCODE; Computer science; Biology; Psychology; Fish <Actinopterygii>; Mathematics; Gene; Central nervous system","score_opus":0.023403015212827526,"score_gpt":0.267896127808153,"score_spread":0.24449311259532544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164738374","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945172,0.00011763878,0.0002844512,0.00037362656,0.0038035735,0.000144302,0.000007995345,0.00006297804,0.00068824517],"genre_scores_gemma":[0.99465764,0.000011780115,0.00011437032,0.00012414233,0.000017189392,0.0000045263696,0.00020891952,0.00001304865,0.0048483885],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99807,0.00020659552,0.00044052704,0.00060870295,0.00045329108,0.00022089676],"domain_scores_gemma":[0.99846375,0.00021272947,0.00036111532,0.00077638624,0.00012959073,0.00005641937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047299426,0.00010737086,0.00014853508,0.00009528684,0.0004095761,0.00018235086,0.00013177248,0.000042260937,0.000041476687],"category_scores_gemma":[0.0017806772,0.00010586974,0.00007368654,0.0006361523,0.00016686661,0.00023699958,0.00008894207,0.00017692696,0.00000462044],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000046825444,0.000049150945,0.00042954166,0.000013134695,0.0000016593311,0.000073483585,0.000032121363,0.00020411314,0.99347776,0.0012702217,0.003549346,0.000894786],"study_design_scores_gemma":[0.00010349581,0.00002243503,0.0027597507,0.000033581684,0.000014186546,0.00023295135,0.000018618703,0.01720576,0.9700253,0.006768696,0.0026532153,0.00016199228],"about_ca_topic_score_codex":0.00002496295,"about_ca_topic_score_gemma":0.000022994453,"teacher_disagreement_score":0.023452442,"about_ca_system_score_codex":0.000051905598,"about_ca_system_score_gemma":0.00005796882,"threshold_uncertainty_score":0.43172428},"labels":[],"label_agreement":null},{"id":"W3164988170","doi":"10.1016/j.neuroimage.2021.118222","title":"Mapping the human auditory cortex using spectrotemporal receptive fields generated with magnetoencephalography","year":2021,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Réseau québécois de recherche sur le vieillissement; Centre for Research on Brain, Language and Music","keywords":"Tonotopy; Magnetoencephalography; Auditory cortex; Receptive field; Neuroscience; Stimulus (psychology); Computer science; Human brain; Psychology; Electroencephalography","score_opus":0.05348208374866148,"score_gpt":0.2583448237924209,"score_spread":0.20486274004375943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164988170","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917924,0.000020664833,0.0010255862,0.00060480216,0.0007452385,0.000203118,0.000009515203,0.0000972366,0.0055014407],"genre_scores_gemma":[0.99583787,0.00001877508,0.00023096197,0.0025052028,0.0003379579,0.000007702185,0.00000793917,0.000026252921,0.0010273303],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984047,0.00026486482,0.00018241548,0.00056154374,0.00028219877,0.0003043244],"domain_scores_gemma":[0.99928087,0.000099144614,0.000116446216,0.00037193924,0.000072546274,0.000059058126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000085584405,0.00017825283,0.00014468883,0.000080441576,0.00054553774,0.00016128038,0.00020476122,0.000050597453,0.00017383047],"category_scores_gemma":[0.00007110418,0.0001266124,0.00008038069,0.0008076163,0.00021036148,0.000188034,0.000085213855,0.00040175245,0.000013321362],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012217797,0.00003574898,0.0004382364,0.000006109441,0.0000036833126,0.00041165634,0.00009674811,0.0001373935,0.99762994,0.00038154694,0.0005636081,0.00028309235],"study_design_scores_gemma":[0.002321773,0.0014614218,0.16715233,0.00012537916,0.0000917985,0.0017980706,0.0008761972,0.038032953,0.7650729,0.004011486,0.017472656,0.0015830563],"about_ca_topic_score_codex":0.000033942717,"about_ca_topic_score_gemma":0.000035762507,"teacher_disagreement_score":0.23255707,"about_ca_system_score_codex":0.000023544553,"about_ca_system_score_gemma":0.000054356664,"threshold_uncertainty_score":0.5163104},"labels":[],"label_agreement":null},{"id":"W3165240954","doi":"10.1002/hipo.23364","title":"Linking minimal and detailed models of <scp>CA1</scp> microcircuits reveals how theta rhythms emerge and their frequencies controlled","year":2021,"lang":"en","type":"article","venue":"Hippocampus","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Brain Institute; University of Toronto; University Health Network","funders":"","keywords":"Neuroscience; Theta rhythm; Leverage (statistics); Pyramidal cell; Rhythm; Inhibitory postsynaptic potential; Local field potential; Biological system; Computer science; Hippocampus; Physics; Biology; Artificial intelligence","score_opus":0.028237272461217006,"score_gpt":0.22444915784077996,"score_spread":0.19621188537956294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165240954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946547,0.002170739,0.0006512412,0.00042808682,0.00030862246,0.0003318289,0.000048030954,0.000047894424,0.0013588376],"genre_scores_gemma":[0.9968735,0.0009783731,0.00013103097,0.0004672359,0.000069072616,0.000021571588,0.000006343306,0.000027032282,0.0014258256],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99833184,0.00023002236,0.00032378404,0.00056390796,0.00020147198,0.00034897463],"domain_scores_gemma":[0.99833375,0.0009185869,0.00024941255,0.00027139424,0.000120305085,0.00010654103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002928251,0.00024931703,0.0005347872,0.00008663874,0.0002019856,0.00013099285,0.00012463338,0.0001258089,0.0000060860966],"category_scores_gemma":[0.00072120095,0.0001940409,0.00012414815,0.00023614996,0.00019132417,0.00028236554,0.00012484269,0.00019500018,0.0000017349519],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019899207,0.000036117308,0.0010345317,0.00007253653,0.000020997844,0.000029874383,0.0006303472,0.00003469552,0.9908014,0.0031681927,0.000059680486,0.004091729],"study_design_scores_gemma":[0.00960048,0.0005514552,0.007068755,0.00039740166,0.00017751167,0.0010765152,0.0019133433,0.07064751,0.62185323,0.2854075,0.000781736,0.0005245331],"about_ca_topic_score_codex":0.0000035066923,"about_ca_topic_score_gemma":0.000021714317,"teacher_disagreement_score":0.36894816,"about_ca_system_score_codex":0.000016359621,"about_ca_system_score_gemma":0.000051507086,"threshold_uncertainty_score":0.7912758},"labels":[],"label_agreement":null},{"id":"W3165529455","doi":"10.1016/j.neuroimage.2021.118160","title":"Prestimulus dynamics blend with the stimulus in neural variability quenching","year":2021,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"H2020 Fast Track to Innovation; National Key Research and Development Program of China Stem Cell and Translational Research","keywords":"Stimulus (psychology); Audiology; Psychology; Neural activity; Electroencephalography; Standard deviation; Replicate; Neuroscience; Cognitive psychology; Medicine; Mathematics; Statistics","score_opus":0.018233711335991838,"score_gpt":0.24705334957648908,"score_spread":0.22881963824049725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165529455","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9844167,0.000010685869,0.0017559067,0.0081304815,0.0004108053,0.0002846225,0.000026856715,0.000098491255,0.0048654056],"genre_scores_gemma":[0.9960858,0.000008007467,0.00013158003,0.0029832763,0.000048178066,0.000024495761,0.0000056631498,0.000028012773,0.0006849535],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99772763,0.0006218149,0.0002302466,0.00070824556,0.00033610483,0.00037596677],"domain_scores_gemma":[0.9981675,0.0010360447,0.00008390551,0.0005970634,0.00004564519,0.00006981263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030821093,0.00019387396,0.00017646537,0.0000488595,0.00021729547,0.00018444381,0.00029266483,0.00004499657,0.0000550953],"category_scores_gemma":[0.0012007849,0.0001324254,0.000054887758,0.0006213362,0.00016768061,0.00030049012,0.00017023997,0.00057079183,0.000012767613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004209958,0.0007987047,0.026643636,0.00012874456,0.000009641308,0.00531435,0.00045095265,0.08189697,0.83640647,0.014787047,0.0009401365,0.032202344],"study_design_scores_gemma":[0.00065861875,0.00016301655,0.055411693,0.000016470529,0.000015624677,0.00033454504,0.00003598831,0.9316624,0.009778207,0.0009546452,0.000706534,0.0002622488],"about_ca_topic_score_codex":0.000060261034,"about_ca_topic_score_gemma":0.0004318502,"teacher_disagreement_score":0.8497654,"about_ca_system_score_codex":0.000077881385,"about_ca_system_score_gemma":0.00008108447,"threshold_uncertainty_score":0.54001504},"labels":[],"label_agreement":null},{"id":"W3165675797","doi":"10.1016/j.neuroimage.2021.118205","title":"Fronto-subthalamic phase synchronization and cross-frequency coupling during conflict processing","year":2021,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"National Institute of Neurological Disorders and Stroke; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Subthalamic nucleus; Local field potential; Neuroscience; Psychology; Prefrontal cortex; Synchronization (alternating current); Deep brain stimulation; Basal ganglia; Parkinson's disease; Topology (electrical circuits); Central nervous system; Cognition; Mathematics; Medicine; Disease; Internal medicine","score_opus":0.02915194503497761,"score_gpt":0.3020888883534053,"score_spread":0.2729369433184277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165675797","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961345,0.0002075433,0.0017520619,0.00018121433,0.00031736496,0.00014433412,0.000020602167,0.00015398364,0.0010884035],"genre_scores_gemma":[0.9984964,0.00014014702,0.00011058703,0.00041695434,0.000100013385,0.000007219254,0.000014213585,0.000036027202,0.0006784058],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985944,0.000043413103,0.00023303789,0.0006342456,0.0002143966,0.0002804993],"domain_scores_gemma":[0.9994388,0.00007189215,0.00010900368,0.0002190666,0.000082397484,0.000078813326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000072435025,0.00016336402,0.00014721625,0.000057802998,0.00042428865,0.00040441914,0.000102393926,0.00005289676,0.0000651297],"category_scores_gemma":[0.00047369988,0.0001704631,0.000036998095,0.0002711721,0.00011503989,0.00058284955,0.00008698886,0.0002054239,0.000015340827],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017038214,0.000062707746,0.0017643054,0.00009002601,9.678056e-7,0.0004264589,0.000060286868,0.00018074684,0.9946677,0.00018433524,0.000005920973,0.0025394897],"study_design_scores_gemma":[0.003019508,0.00013245612,0.025338182,0.00009159671,0.000024855433,0.0010459687,0.000028421726,0.30197945,0.6670849,0.00036616932,0.00042505955,0.00046347786],"about_ca_topic_score_codex":0.000006062049,"about_ca_topic_score_gemma":0.0000040473874,"teacher_disagreement_score":0.32758287,"about_ca_system_score_codex":0.000039954495,"about_ca_system_score_gemma":0.000057702146,"threshold_uncertainty_score":0.6951283},"labels":[],"label_agreement":null},{"id":"W3166397516","doi":"10.1098/rstb.2020.0336","title":"An ecological approach to measuring synchronization abilities across the animal kingdom","year":2021,"lang":"en","type":"review","venue":"Philosophical Transactions of the Royal Society B Biological Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Biotechnology and Biological Sciences Research Council; Max-Planck-Gesellschaft","keywords":"Synchronization (alternating current); Context (archaeology); Perspective (graphical); Flexibility (engineering); Synchronizing; Ecology; Rhythm; Cognitive psychology; Adaptation (eye); Biology; Cognitive science; Computer science; Neuroscience; Psychology; Artificial intelligence","score_opus":0.2027715627173353,"score_gpt":0.3513544086086117,"score_spread":0.14858284589127643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166397516","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05045837,0.8316769,0.074470796,0.020837605,0.005274945,0.010960463,0.0014859735,0.0010721948,0.003762751],"genre_scores_gemma":[0.74701464,0.25094795,0.00061960146,0.00071630225,0.00040082604,0.00022844633,0.000009757097,0.000023070472,0.000039415696],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9954523,0.001298609,0.00069267134,0.001208412,0.00074217096,0.0006058437],"domain_scores_gemma":[0.99753463,0.0013994559,0.0002913526,0.00052462897,0.00008510659,0.00016484706],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0014345325,0.0004335856,0.00095863146,0.000024885443,0.0023505995,0.0002558229,0.0020895666,0.00051921303,0.00007059128],"category_scores_gemma":[0.00071632,0.0001862666,0.0014728592,0.0016336776,0.0027591742,0.00013215777,0.00019972137,0.00096281996,0.0000064625633],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000104271065,0.012326444,0.00018148262,0.0055916654,0.0004404686,0.000008736268,0.0019025652,0.07879434,0.0020988204,0.14346343,0.0001637069,0.75492406],"study_design_scores_gemma":[0.0023581346,0.018455366,0.0031418726,0.012237448,0.00365574,0.00084016204,0.0043129018,0.4050883,0.0023785797,0.09687326,0.43854806,0.012110155],"about_ca_topic_score_codex":0.000026304631,"about_ca_topic_score_gemma":0.000002009525,"teacher_disagreement_score":0.7428139,"about_ca_system_score_codex":0.00015746923,"about_ca_system_score_gemma":0.00015223668,"threshold_uncertainty_score":0.99995476},"labels":[],"label_agreement":null},{"id":"W3166462512","doi":"10.1101/2021.05.28.446142","title":"Retrosplenial and hippocampal synchrony during retrieval of old memories in macaques","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Krembil Foundation; Alzheimer's Society; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada; Alzheimer's Association","keywords":"Retrosplenial cortex; Hippocampal formation; Chromatin structure remodeling (RSC) complex; Neuroscience; Hippocampus; Psychology; Cognitive psychology; Biology","score_opus":0.012870309008277674,"score_gpt":0.21591956613648158,"score_spread":0.2030492571282039,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166462512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997265,0.0003372427,0.000039249295,0.0001536793,0.0014709675,0.00043097188,0.00014938466,0.00014553707,0.00000798696],"genre_scores_gemma":[0.9983133,0.00068412087,0.0004933607,0.00011176061,0.00028041596,0.000025362006,2.3673275e-7,0.000079663805,0.000011778541],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99687994,0.00023089066,0.00064772693,0.0012438745,0.00050734804,0.00049021526],"domain_scores_gemma":[0.99829865,0.00014987994,0.00042771632,0.0007824614,0.00018098038,0.00016030924],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00037120128,0.00045977824,0.0006779748,0.0003196929,0.00012986691,0.00024747668,0.00036910022,0.00044318786,0.00003606886],"category_scores_gemma":[0.0011415562,0.00050496106,0.00012350664,0.00069265,0.00026442742,0.00026919052,0.0007680751,0.00091268565,0.000002986682],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012418948,0.00007312565,0.012449335,0.0006278937,0.000013677815,0.00018649748,0.000020730451,0.00003437595,0.9858995,0.0005635313,0.000006035089,0.000001074575],"study_design_scores_gemma":[0.0004903955,0.000058776768,0.16948831,0.0004426747,0.000028389,1.2092836e-7,0.0000045712513,0.00078681245,0.8282225,0.000006831271,0.00003800059,0.00043259418],"about_ca_topic_score_codex":0.000057581754,"about_ca_topic_score_gemma":0.000009155253,"teacher_disagreement_score":0.15767701,"about_ca_system_score_codex":0.00023010363,"about_ca_system_score_gemma":0.00027461816,"threshold_uncertainty_score":0.9997402},"labels":[],"label_agreement":null},{"id":"W3167328025","doi":"10.1101/2021.06.01.446620","title":"Simulating brain signals with predefined mutual correlations – a technical note","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Set (abstract data type); SIGNAL (programming language); Waveform; Task (project management); Noise (video); Expression (computer science); Function (biology); Envelope (radar); Algorithm; Mixing (physics); Contrast (vision); Mutual information; Artificial intelligence; Physics","score_opus":0.020930768509292284,"score_gpt":0.24006013889805625,"score_spread":0.21912937038876396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3167328025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95381993,0.00007701564,0.04124477,0.0011473527,0.0011752871,0.0012253904,0.00023827021,0.000989864,0.00008210243],"genre_scores_gemma":[0.99261767,0.000018824732,0.0056259,0.0010611254,0.00031292986,0.0001681456,0.0000010360945,0.00015540895,0.00003898326],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99605864,0.0003155502,0.0006387118,0.0016514377,0.0006973214,0.0006383191],"domain_scores_gemma":[0.99672973,0.00091135956,0.0005376095,0.00121543,0.000334641,0.00027124363],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004404655,0.0006192439,0.0005975335,0.00027223016,0.00040526828,0.0005676956,0.00053122744,0.0005745965,0.00009801952],"category_scores_gemma":[0.0025005275,0.00059964793,0.00020479331,0.0010189877,0.00020203035,0.00027608222,0.00065603707,0.0013941769,0.000044527496],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061903665,0.00014197011,0.00066222186,0.00010048222,0.000016686365,0.00016775983,0.0000071027866,0.010251803,0.98758537,0.0008643789,0.00013686254,0.0000034755592],"study_design_scores_gemma":[0.0017229327,0.0005483121,0.029760217,0.0015509286,0.00025798086,6.9520144e-7,0.0000058981964,0.2342395,0.72710514,0.000014261005,0.0022092313,0.0025849266],"about_ca_topic_score_codex":0.000022698265,"about_ca_topic_score_gemma":0.000009616439,"teacher_disagreement_score":0.26048023,"about_ca_system_score_codex":0.000256462,"about_ca_system_score_gemma":0.0006828996,"threshold_uncertainty_score":0.9996455},"labels":[],"label_agreement":null},{"id":"W3167768151","doi":"10.1101/2021.05.19.444800","title":"In-phase and in-antiphase connectivity in EEG","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Fonds de Recherche du Québec - Santé; National Institute on Aging; University of California, San Diego; National Institutes of Health","keywords":"Electroencephalography; Lag; Phase lag; Neuroscience; Synchronization (alternating current); EEG-fMRI; Functional connectivity; Psychology; Computer science; Mathematics","score_opus":0.021556933747473098,"score_gpt":0.25734709259745875,"score_spread":0.23579015884998566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3167768151","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973986,0.00021280548,0.00009610358,0.00037705465,0.0011523259,0.0005951522,0.00008687418,0.000071930896,0.0000091635975],"genre_scores_gemma":[0.99866396,0.0003360603,0.00015173742,0.00061966205,0.000068507485,0.00010120683,1.5439409e-7,0.00005562143,0.000003090608],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99696755,0.00033728514,0.0005246301,0.001395539,0.00027031638,0.00050467445],"domain_scores_gemma":[0.9986379,0.00024213873,0.00021325298,0.0006906136,0.00006810566,0.00014798097],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006276808,0.0004042153,0.0005832136,0.0005886858,0.00005974441,0.0002381662,0.00027314865,0.0003528923,0.000030752075],"category_scores_gemma":[0.0011588238,0.0004621862,0.00006836756,0.0010286807,0.000113608134,0.00036094306,0.00049246894,0.0010913699,0.000007101383],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000808721,0.00052457623,0.01643696,0.00016106479,0.000003482206,0.001353006,0.000011402711,0.00011305089,0.9808332,0.0004672138,0.000010324709,0.000004900886],"study_design_scores_gemma":[0.003456933,0.000093795206,0.31548235,0.00060323195,0.000016046337,1.6700567e-7,0.00000551133,0.012822941,0.666072,0.00002085033,0.00046685713,0.0009593145],"about_ca_topic_score_codex":0.00018324757,"about_ca_topic_score_gemma":0.00014528206,"teacher_disagreement_score":0.31476116,"about_ca_system_score_codex":0.00025553018,"about_ca_system_score_gemma":0.0002912732,"threshold_uncertainty_score":0.999783},"labels":[],"label_agreement":null},{"id":"W3168024868","doi":"10.31234/osf.io/8mbsk","title":"An academic survey on theoretical foundations, common assumptions and the current state of consciousness science","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Universiteit van Amsterdam; Canadian Institute for Advanced Research","keywords":"Consciousness; Unconscious mind; Altered state; Level of consciousness; Psychology; Phenomenon; Cognition; Neural correlates of consciousness; Electromagnetic theories of consciousness; Epistemology; Snapshot (computer storage); Cognitive science; Psychoanalysis; Developmental psychology; Computer science; Neuroscience; Philosophy","score_opus":0.058983360510255024,"score_gpt":0.364054903692227,"score_spread":0.30507154318197194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3168024868","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945428,0.00004770735,0.0020921843,0.0008505828,0.0012639667,0.00051865814,0.00018797381,0.000041676645,0.00045446993],"genre_scores_gemma":[0.9985894,0.00086514954,0.000026204825,0.00036286688,0.000024748277,0.000026407797,0.000056723205,0.000011745328,0.00003676167],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9970284,0.0010368519,0.00040306954,0.0007238283,0.00057831866,0.00022954174],"domain_scores_gemma":[0.99693495,0.0019100899,0.00022643823,0.00064266496,0.00018086546,0.00010498468],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0023186237,0.0001902097,0.00029740622,0.00014946268,0.0004120613,0.00032715412,0.0006501598,0.00006120826,0.00003155775],"category_scores_gemma":[0.0015255339,0.000120638506,0.000059534646,0.00038595745,0.004749486,0.0001624522,0.0006570893,0.0011529495,0.00000412196],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028763743,0.00032623872,0.0048265005,0.000091161506,0.000009057357,0.000002806458,0.00042133336,0.002461689,0.035002947,0.8436948,0.000068385554,0.11280744],"study_design_scores_gemma":[0.0012209734,0.00021673509,0.38112575,0.00032388454,0.00006580044,0.000018272134,0.000050168186,0.3242034,0.027361618,0.26463208,0.00008457897,0.00069673645],"about_ca_topic_score_codex":0.000109763656,"about_ca_topic_score_gemma":0.00021988954,"teacher_disagreement_score":0.5790627,"about_ca_system_score_codex":0.000046922454,"about_ca_system_score_gemma":0.000311624,"threshold_uncertainty_score":0.997959},"labels":[],"label_agreement":null},{"id":"W3168594876","doi":"10.1093/cercor/bhab147","title":"Classification of Cortical Neurons by Spike Shape and the Identification of Pyramidal Neurons","year":2021,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; National Institute of Neurological Disorders and Stroke; Medical Research Council; National Institutes of Health; Medical Research Council Canada; Wellcome Trust","keywords":"Neuroscience; Antidromic; Spike (software development); Optogenetics; Pyramidal cell; Electrophysiology; Pyramidal tracts; Biology; Nerve net; Computer science; Hippocampus","score_opus":0.02419811431111388,"score_gpt":0.2547826427344705,"score_spread":0.2305845284233566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3168594876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99661547,0.00004629911,0.00028975605,0.001939372,0.0003212273,0.00018971838,0.00005372648,0.000022321952,0.00052208744],"genre_scores_gemma":[0.9987261,0.00004876221,0.0000073621254,0.0004920478,0.000022424942,0.00000841012,0.000018537105,0.000012135845,0.0006641993],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986089,0.00021608916,0.0004445982,0.00034796956,0.00024352898,0.00013889968],"domain_scores_gemma":[0.99895346,0.0003431868,0.0002574108,0.0003135412,0.00008288047,0.000049546325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015924392,0.00009859914,0.00017101546,0.000033612218,0.000121490346,0.000051224026,0.00015309248,0.00004840333,0.000064277636],"category_scores_gemma":[0.00077356107,0.00007555093,0.00007083937,0.00028776051,0.0005662413,0.00012236119,0.00007926176,0.00017519674,0.000006443096],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052933756,0.0000662843,0.001320546,0.000018132836,0.0000026276814,0.0000016994559,0.00003545856,0.0000043699156,0.9588316,0.036855783,0.00030579497,0.0025047844],"study_design_scores_gemma":[0.0010931265,0.00012252947,0.4936207,0.000012249855,0.00006714038,0.00005483517,0.00009479772,0.14938043,0.352103,0.0025360351,0.0007580184,0.00015713758],"about_ca_topic_score_codex":0.000008779333,"about_ca_topic_score_gemma":0.000005590437,"teacher_disagreement_score":0.6067286,"about_ca_system_score_codex":0.0000090215135,"about_ca_system_score_gemma":0.000036205667,"threshold_uncertainty_score":0.30808777},"labels":[],"label_agreement":null},{"id":"W3168936246","doi":"10.1038/s42003-021-02240-9","title":"Dynamic relationships between spontaneous and evoked electrophysiological activity","year":2021,"lang":"en","type":"article","venue":"Communications Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre; McGill University; University of Ottawa","funders":"Biotechnology and Biological Sciences Research Council; European Commission; Natural Sciences and Engineering Research Council of Canada; Social Sciences and Humanities Research Council of Canada; Horizon 2020 Framework Programme; Medical Research Council; Directorate for Biological Sciences; Canadian Institutes of Health Research","keywords":"Electrophysiology; Stimulus (psychology); Neuroscience; Electroencephalography; Magnetoencephalography; Evoked activity; Event-related potential; Local field potential; Evoked potential; Neural activity; Psychology; Cognitive psychology","score_opus":0.08389562049947667,"score_gpt":0.31475844216647253,"score_spread":0.23086282166699584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3168936246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99309856,0.00017629024,0.0005912788,0.0040997076,0.000056696288,0.00009960588,0.00002748063,0.00007578928,0.0017745728],"genre_scores_gemma":[0.99771744,0.00083297567,0.000846178,0.00017554272,0.000012386168,0.000016729722,0.000078580655,0.0000070853976,0.0003130648],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984271,0.000945897,0.00013315538,0.00029254268,0.000036361344,0.00016497303],"domain_scores_gemma":[0.99748826,0.0015488624,0.00006420807,0.00081025244,0.00003799149,0.000050398186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011568254,0.00008909922,0.0001446559,0.000044278615,0.0005020684,0.00002331379,0.0003160003,0.00012311137,0.000018864908],"category_scores_gemma":[0.0009929527,0.00007991915,0.000036362166,0.00024855044,0.0003123336,0.00005790308,0.00037194177,0.00044388743,0.000030209125],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014941453,0.000054770124,0.0017039357,0.0000021681683,0.0000046736436,0.000009409311,0.000016857943,0.0000023567075,0.95947546,0.030072274,0.000011200084,0.008631952],"study_design_scores_gemma":[0.001087718,0.0010364652,0.6084479,0.000027369755,0.0001019998,0.002020638,0.00010440363,0.059519917,0.04936961,0.25151667,0.02577118,0.0009961511],"about_ca_topic_score_codex":0.000005669728,"about_ca_topic_score_gemma":0.00005108572,"teacher_disagreement_score":0.9101058,"about_ca_system_score_codex":0.000039507773,"about_ca_system_score_gemma":0.00003376228,"threshold_uncertainty_score":0.3861555},"labels":[],"label_agreement":null},{"id":"W3170214266","doi":"10.1016/j.neuroimage.2021.118238","title":"Sustained neural activity correlates with rapid perceptual learning of auditory patterns","year":2021,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; Western University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada First Research Excellence Fund","keywords":"Perception; Perceptual learning; Neural activity; Neural correlates of consciousness; Psychology; Neuroscience; Cognitive psychology; Audiology; Communication; Medicine; Cognition","score_opus":0.018605941992278278,"score_gpt":0.23527101139326925,"score_spread":0.21666506940099098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170214266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99665266,0.000005947299,0.00051308295,0.00037732464,0.0006057944,0.00011463615,0.000014627592,0.00010102526,0.0016149204],"genre_scores_gemma":[0.9977281,0.000027743843,0.000016699134,0.0003603259,0.00011046361,0.0000046225823,0.0000060861503,0.0000327307,0.0017132319],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984221,0.00032280711,0.0001557175,0.0005000835,0.00031417166,0.00028510857],"domain_scores_gemma":[0.999097,0.00034842454,0.00013563973,0.00026059657,0.00008513268,0.00007319145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007219824,0.00017040635,0.00020050777,0.000064497675,0.00016495146,0.000056560257,0.00013508662,0.000049240673,0.0002464345],"category_scores_gemma":[0.0004794975,0.00014718177,0.00008312072,0.00027724876,0.00013199104,0.00027708794,0.00015539938,0.00047675762,0.000014271085],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000117318385,0.00010229485,0.006014277,0.000036627738,0.0000030274005,0.0004160364,0.00011935914,0.0005516181,0.9849397,0.000096778786,0.00011994411,0.0074830228],"study_design_scores_gemma":[0.001997677,0.0019339615,0.28835326,0.000057864327,0.000060195773,0.0005539786,0.000760871,0.09282117,0.61117435,0.00007198007,0.0015491005,0.00066562294],"about_ca_topic_score_codex":0.000009870003,"about_ca_topic_score_gemma":0.000005662459,"teacher_disagreement_score":0.37376538,"about_ca_system_score_codex":0.00002226684,"about_ca_system_score_gemma":0.000053888827,"threshold_uncertainty_score":0.60018986},"labels":[],"label_agreement":null},{"id":"W3170490279","doi":"10.1103/physreve.108.014304","title":"Dynamical independence: Discovering emergent macroscopic processes in complex dynamical systems","year":2023,"lang":"en","type":"article","venue":"Physical review. E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"European Research Council","keywords":"Dynamical systems theory; Linear dynamical system; Statistical physics; Measure-preserving dynamical system; Complex system; Computer science; Hamiltonian system; Phase portrait; Flocking (texture); Dynamical system (definition); Independence (probability theory); Physics; Mathematics; Random dynamical system; Classical mechanics; Artificial intelligence; Nonlinear system; Quantum mechanics; Bifurcation","score_opus":0.05176532094268765,"score_gpt":0.35890771349253736,"score_spread":0.3071423925498497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170490279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99650955,0.0003494146,0.00022012304,0.0010009917,0.00044967252,0.0007127424,0.000041662563,0.00018529527,0.0005305512],"genre_scores_gemma":[0.995081,0.003939474,0.0000055859614,0.00043787737,0.00012549286,0.00014846868,0.000041989922,0.000029209623,0.00019086544],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976569,0.00016204025,0.00042697598,0.0006376436,0.0006289428,0.00048749533],"domain_scores_gemma":[0.99915445,0.000277491,0.000113513845,0.0002897648,0.00003859455,0.00012617682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020854086,0.00023177567,0.00048128146,0.000087778164,0.00010438272,0.00007675739,0.00032557402,0.00004416102,0.000026401482],"category_scores_gemma":[0.00097043614,0.00018626393,0.00011239452,0.0015333336,0.000090162765,0.0002332818,0.000221142,0.00036416872,0.0003894016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065989036,0.0009111062,0.0061479826,0.013107352,0.000016564529,0.00025789588,0.00021930778,0.0045567583,0.9262199,0.038979076,0.001960549,0.007557553],"study_design_scores_gemma":[0.00059518334,0.00023349846,0.02512352,0.0028840431,0.000041079045,0.000034940294,0.000048650265,0.9557891,0.0031756132,0.00585422,0.0054063946,0.0008137755],"about_ca_topic_score_codex":0.000051944728,"about_ca_topic_score_gemma":0.000040650564,"teacher_disagreement_score":0.9512323,"about_ca_system_score_codex":0.00010156631,"about_ca_system_score_gemma":0.000051694118,"threshold_uncertainty_score":0.75956225},"labels":[],"label_agreement":null},{"id":"W3170843322","doi":"10.1038/s41467-021-23901-7","title":"In silico voltage-sensitive dye imaging reveals the emergent dynamics of cortical populations","year":2021,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute; Centre Hospitalier Universitaire Sainte-Justine","funders":"Board of the Swiss Federal Institutes of Technology; École Polytechnique Fédérale de Lausanne","keywords":"In silico; Neuroscience; Cortical neurons; Computer science; Voltage-sensitive dye; Dynamics (music); Biological system; SIGNAL (programming language); Nerve net; Artificial intelligence; Electrophysiology; Biology; Physics","score_opus":0.03754718739191317,"score_gpt":0.32720410702588765,"score_spread":0.2896569196339745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170843322","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8204853,0.0012589837,0.0018910625,0.16446723,0.0014923344,0.00069196854,0.00028189502,0.000085379135,0.009345844],"genre_scores_gemma":[0.99682,0.00021863065,0.00046300166,0.0020227204,0.000019103456,0.000014512449,0.00006768794,0.00001064315,0.00036375603],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988339,0.00035664145,0.00029506205,0.00019555949,0.00017649375,0.00014232207],"domain_scores_gemma":[0.9979117,0.00063350284,0.000108106855,0.0011542672,0.00015936309,0.0000330935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002003182,0.00008506329,0.000121280566,0.00006735637,0.00030385837,0.00002508992,0.00046348094,0.00007836097,0.000025028157],"category_scores_gemma":[0.00184333,0.00006988573,0.00007231264,0.00075707457,0.00018027103,0.00011718577,0.000335401,0.0008861016,0.000006522989],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008434438,0.00024310242,0.012442091,0.000006728445,0.0000049129726,0.0000111582585,0.00020686934,0.0001822987,0.2960331,0.6883706,0.0015318228,0.0009588798],"study_design_scores_gemma":[0.00058979174,0.0000355414,0.38578415,0.0001035841,0.0000807752,0.00014389,0.0012426715,0.53806764,0.029902123,0.034492068,0.009098321,0.0004594552],"about_ca_topic_score_codex":0.000030022014,"about_ca_topic_score_gemma":0.002026361,"teacher_disagreement_score":0.6538785,"about_ca_system_score_codex":0.00007550451,"about_ca_system_score_gemma":0.000045657744,"threshold_uncertainty_score":0.384972},"labels":[],"label_agreement":null},{"id":"W3170858823","doi":"10.1101/2021.06.08.447611","title":"Saccades and pre-saccadic stimulus repetition alter cortical network topology and dynamics: evidence from EEG and graph theoretical analysis","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto; York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Saccade; Saccadic masking; Neuroscience; Posterior parietal cortex; Psychology; Frontal eye fields; Fixation (population genetics); Stimulus (psychology); Electroencephalography; Prefrontal cortex; Eye movement; Cognition; Cognitive psychology; Biology","score_opus":0.0129989731251313,"score_gpt":0.23679186193233032,"score_spread":0.22379288880719903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170858823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9847369,0.0015351713,0.011621846,0.00079086254,0.0006296988,0.00040090556,0.00014477118,0.00013690282,0.0000029070907],"genre_scores_gemma":[0.9940326,0.003604901,0.0014774178,0.00057483243,0.00019992964,0.00005667829,0.0000014535899,0.00004953349,0.0000026065236],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9962444,0.0005890515,0.0005219915,0.0018131373,0.00032463207,0.0005068417],"domain_scores_gemma":[0.9973941,0.0010974446,0.00027180713,0.0007636624,0.00014268818,0.00033029757],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00053390005,0.00046812827,0.0007119147,0.0002419458,0.00033082793,0.00056805677,0.00024107393,0.0005181269,0.00007865848],"category_scores_gemma":[0.0012447502,0.00045962984,0.00012857211,0.0006829913,0.0010687377,0.00025671878,0.0007937272,0.0009451852,0.0000018489199],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030100052,0.00013332092,0.14726642,0.0002997188,0.00044483342,0.00031820443,0.000043566684,0.00079157756,0.8096627,0.04067211,0.00003199917,0.00003455457],"study_design_scores_gemma":[0.0004093448,0.00018950077,0.79676425,0.00053330767,0.0014349463,4.478509e-7,0.000007868622,0.18023936,0.018766206,0.00073164585,0.000016654143,0.00090643554],"about_ca_topic_score_codex":0.00010629244,"about_ca_topic_score_gemma":0.00004080336,"teacher_disagreement_score":0.7908965,"about_ca_system_score_codex":0.00009345768,"about_ca_system_score_gemma":0.00009705806,"threshold_uncertainty_score":0.99978554},"labels":[],"label_agreement":null},{"id":"W3171241965","doi":"10.1038/s41593-021-00883-9","title":"Good decisions require more than information","year":2021,"lang":"en","type":"letter","venue":"Nature Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; Canadian Institute for Advanced Research","funders":"","keywords":"Encoding (memory); Neuroscience; Information flow; Sensory system; Cognitive science; Computer science; Psychology; Cognitive psychology","score_opus":0.02723784682709259,"score_gpt":0.27616265001944595,"score_spread":0.24892480319235336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3171241965","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0075795026,0.00011639393,0.0009276767,0.95838803,0.021279529,0.00085745676,0.0006417545,0.00049643137,0.0097132325],"genre_scores_gemma":[0.041210182,0.000193029,0.00008617733,0.9510794,0.0012909541,0.00003077978,0.00015676767,0.00004618497,0.0059065195],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9953265,0.0002152568,0.0005035304,0.0012381289,0.0019435037,0.00077306986],"domain_scores_gemma":[0.9974701,0.00071587815,0.00041888276,0.001070632,0.00018628278,0.00013825149],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.00019485645,0.0005038049,0.000379033,0.00042614792,0.0006278469,0.00079709105,0.0014523865,0.001557924,0.00004685347],"category_scores_gemma":[0.006541772,0.0004286489,0.00026349086,0.0018736781,0.00034973014,0.0022684464,0.00046016995,0.006343036,0.000103285965],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011433873,0.000033208882,0.000022918543,0.000055164208,0.0000011713825,0.000959748,0.000053714,0.00006408804,0.08457868,0.0014630257,0.9088325,0.003924366],"study_design_scores_gemma":[0.00015465837,0.00008693395,0.00044768897,0.00009223853,0.000012821807,0.00042854945,0.000008037753,0.0019031747,0.007155204,0.0005327815,0.98871976,0.00045817226],"about_ca_topic_score_codex":0.0000056856006,"about_ca_topic_score_gemma":0.000002792244,"teacher_disagreement_score":0.079887256,"about_ca_system_score_codex":0.00010251967,"about_ca_system_score_gemma":0.0002616944,"threshold_uncertainty_score":0.99981654},"labels":[],"label_agreement":null},{"id":"W3171842798","doi":"10.7554/elife.69111","title":"Interneuron-specific gamma synchronization indexes cue uncertainty and prediction errors in lateral prefrontal and anterior cingulate cortex","year":2021,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Institute of Mental Health; Canadian Institutes of Health Research","keywords":"Interneuron; Neuroscience; Inhibitory postsynaptic potential; Prefrontal cortex; Anterior cingulate cortex; Primate; Cortex (anatomy); Biology; Gating; Psychology; Cognition","score_opus":0.012874314985670541,"score_gpt":0.22793668243279044,"score_spread":0.2150623674471199,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3171842798","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985269,0.00013476291,0.00023358378,0.00017169213,0.00062262494,0.00014868911,0.0000247557,0.000050246774,0.00008679237],"genre_scores_gemma":[0.99876094,0.0005229568,0.000022628676,0.00030249308,0.00006452553,0.0000066271637,0.000017039447,0.000015511709,0.00028730067],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998894,0.000091824986,0.00022548389,0.00044991568,0.0001638129,0.00017499417],"domain_scores_gemma":[0.9996896,0.000041394975,0.00006464182,0.00011595953,0.000028153236,0.000060287737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007933456,0.00012512167,0.00013641428,0.000082783,0.000084298365,0.00010451524,0.000042004925,0.000060060163,0.000026429972],"category_scores_gemma":[0.00008185704,0.000120474266,0.000020323732,0.00016808753,0.00007666391,0.0002525781,0.000098061384,0.00014976304,0.0000037798677],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012375989,0.00007340514,0.10687468,0.00004697968,0.000004602801,0.00020346124,0.00072294514,0.0004984788,0.8792272,0.00024706946,0.00007969702,0.011897716],"study_design_scores_gemma":[0.0009163421,0.00018300874,0.86538684,0.00012934786,0.000006027686,0.00023912828,0.00006467103,0.109524935,0.022386009,0.0001229531,0.00084728573,0.0001934769],"about_ca_topic_score_codex":0.000033371536,"about_ca_topic_score_gemma":0.00016372329,"teacher_disagreement_score":0.8568412,"about_ca_system_score_codex":0.000053996955,"about_ca_system_score_gemma":0.000019710013,"threshold_uncertainty_score":0.4912798},"labels":[],"label_agreement":null},{"id":"W3172924695","doi":"10.1101/2021.06.16.448755","title":"Neural event segmentation of continuous experience in human infants","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Faculty of Arts and Sciences; Canadian Institute for Advanced Research; Yale University; James S. McDonnell Foundation","keywords":"Event (particle physics); Segmentation; Perception; Cognitive psychology; Psychology; Cognition; Sensory system; Computer science; Developmental psychology; Artificial intelligence; Neuroscience","score_opus":0.02545310228279754,"score_gpt":0.2667152702392251,"score_spread":0.24126216795642755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3172924695","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99750507,0.00009131874,0.00026945025,0.000055871355,0.0013343781,0.00058069587,0.000057470214,0.00009852342,0.000007194457],"genre_scores_gemma":[0.999212,0.00006763724,0.00024791868,0.00018609388,0.00008755184,0.00014069304,4.141363e-7,0.000052535677,0.000005158281],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9972441,0.00023899446,0.0006897347,0.0009829607,0.00045969718,0.0003844833],"domain_scores_gemma":[0.9983689,0.00007842112,0.00053436443,0.0007357609,0.00017000952,0.00011252235],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025725886,0.00035324524,0.000479828,0.00026101683,0.00010113007,0.00015648533,0.0004314212,0.00023789892,0.000046620597],"category_scores_gemma":[0.0003679278,0.00039078703,0.0001260595,0.00057074527,0.00013114241,0.00025826186,0.00044166818,0.0005316723,0.0000037440086],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017927912,0.0001518325,0.015444262,0.00012397121,0.000005728063,0.00008778322,0.00005110826,0.00040183394,0.983516,0.00018652159,0.0000068257277,0.0000062329],"study_design_scores_gemma":[0.00037815102,0.000056076336,0.1386588,0.00022602541,0.00001257828,3.0159065e-8,0.000014369063,0.0028595247,0.85741115,0.0000014743242,0.00003595284,0.00034587833],"about_ca_topic_score_codex":0.000118751304,"about_ca_topic_score_gemma":0.000009938397,"teacher_disagreement_score":0.12610485,"about_ca_system_score_codex":0.00017033334,"about_ca_system_score_gemma":0.0001464646,"threshold_uncertainty_score":0.9998544},"labels":[],"label_agreement":null},{"id":"W3173892358","doi":"10.1007/s00249-021-01547-z","title":"Improved Hodgkin–Huxley type model for neural action potentials","year":2021,"lang":"en","type":"article","venue":"European Biophysics Journal","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Hodgkin–Huxley model; Action (physics); Physics; Ion channel; Statistical physics; Squid; Type (biology); Gating; Chemistry; Quantum mechanics; Neuroscience","score_opus":0.08617889977689706,"score_gpt":0.29229972048102454,"score_spread":0.20612082070412746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3173892358","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90475684,0.00003099237,0.08839737,0.000951092,0.0038981347,0.0001840243,0.00003928983,0.00009172403,0.0016505005],"genre_scores_gemma":[0.99315715,0.00011188929,0.0009039168,0.0013965004,0.0011072591,0.0000012648795,0.000011424285,0.000057100064,0.0032534844],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986687,0.00021802023,0.00027041673,0.00033802591,0.00020755253,0.00029733355],"domain_scores_gemma":[0.99917954,0.000060971273,0.0002160328,0.00020347457,0.00021607013,0.00012391838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022026215,0.0001602433,0.00014422704,0.000050510745,0.0004136025,0.00032131147,0.00020070476,0.000028477663,0.000021651285],"category_scores_gemma":[0.00025274075,0.00014317349,0.00018493325,0.00023411683,0.000038031834,0.00034691032,0.000082386,0.0003140307,0.000045105568],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000077112265,0.000062708765,0.0000036940296,0.000008167502,0.0000068053646,0.000055274202,0.000033994158,0.0038756113,0.9769848,0.00060287275,0.00069357286,0.017595405],"study_design_scores_gemma":[0.00064314617,0.00019933183,0.00016990007,0.00001336651,0.00003199864,0.00036433557,0.000017855084,0.7509835,0.24288066,0.0029125805,0.0015481164,0.00023525934],"about_ca_topic_score_codex":5.960686e-7,"about_ca_topic_score_gemma":7.084592e-7,"teacher_disagreement_score":0.74710786,"about_ca_system_score_codex":0.000037637874,"about_ca_system_score_gemma":0.00006328852,"threshold_uncertainty_score":0.58384454},"labels":[],"label_agreement":null},{"id":"W3175510755","doi":"10.1101/2021.06.17.448649","title":"Claustral Projections to Anterior Cingulate Cortex Modulate Engagement with the External World","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"University of California, San Diego; Israel Science Foundation; Hebrew University of Jerusalem; National Alliance for Research on Schizophrenia and Depression","keywords":"Claustrum; Psychology; Neuroscience; Anterior cingulate cortex; Cingulate cortex; Sensory system; Posterior cingulate; Cognition; Error-related negativity; Cognitive psychology; Central nervous system","score_opus":0.025332613680644354,"score_gpt":0.24108310530657584,"score_spread":0.2157504916259315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175510755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896162,0.00004714385,0.005407757,0.0010670748,0.0020586606,0.0013801754,0.00008657137,0.00031714875,0.00001925649],"genre_scores_gemma":[0.99603504,0.000044292323,0.0014830511,0.0013804537,0.00043288717,0.00033643932,1.3856621e-7,0.00011550872,0.0001721804],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9965045,0.00037837267,0.0004397257,0.0014392745,0.00058855116,0.00064961996],"domain_scores_gemma":[0.9978032,0.00008989434,0.0003456451,0.001266086,0.0002480306,0.0002471293],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005361669,0.0005569281,0.00042863522,0.00032255426,0.00057404453,0.0008881748,0.0006580762,0.0001559014,0.00007533881],"category_scores_gemma":[0.00014009596,0.0004254474,0.00016692854,0.0011182037,0.00013439369,0.00018995785,0.0007236468,0.0012479428,0.000036901434],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004991993,0.000098616896,0.0009050264,0.000080524675,0.000038064794,0.00019428605,0.000021808339,0.0014417227,0.99681586,0.00023981262,0.00010540067,0.000008963776],"study_design_scores_gemma":[0.0006178355,0.00024206514,0.36176315,0.0010848064,0.0001782716,4.914873e-7,0.000012259335,0.0073099597,0.62354547,0.0000026383689,0.0039632,0.0012798497],"about_ca_topic_score_codex":0.00008633012,"about_ca_topic_score_gemma":0.00005967611,"teacher_disagreement_score":0.3732704,"about_ca_system_score_codex":0.0002499551,"about_ca_system_score_gemma":0.00033300917,"threshold_uncertainty_score":0.99981976},"labels":[],"label_agreement":null},{"id":"W3176667728","doi":"10.1523/jneurosci.0559-21.2021","title":"Behavioral Inflexibility from a Neuronal Population Perspective","year":2021,"lang":"en","type":"letter","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Flexibility (engineering); Perspective (graphical); Psychology; Cognitive psychology; Population; Computer science; Artificial intelligence; Medicine","score_opus":0.0825571512779111,"score_gpt":0.32578607136282417,"score_spread":0.24322892008491306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3176667728","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78135705,0.000048450245,0.00020472561,0.20895612,0.008803317,0.00021379068,0.00017871102,0.000041317086,0.00019652229],"genre_scores_gemma":[0.5564074,0.00005812038,0.000108656495,0.43985724,0.0029523273,0.0000027648139,0.000013924006,0.000045907374,0.0005536744],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9956886,0.0005529334,0.00078597636,0.0009311248,0.001612771,0.00042858187],"domain_scores_gemma":[0.9973918,0.00043083762,0.0012372286,0.0004485026,0.00035975812,0.00013184003],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00024243789,0.0003525617,0.00052867236,0.00029868903,0.00024149223,0.00037702435,0.0008718624,0.00031049235,0.000067484936],"category_scores_gemma":[0.0019014964,0.00030577308,0.00041430307,0.00067285856,0.00027405514,0.0008018227,0.00020222543,0.0029765882,0.0000073047827],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000089858266,0.00028737728,0.000801302,0.000022561713,0.0000037313876,0.006749759,0.00014522762,0.00018235877,0.90529126,0.00020708749,0.08515902,0.0010604806],"study_design_scores_gemma":[0.002958615,0.005695853,0.2734483,0.0006829651,0.00059080723,0.0099030165,0.00022403875,0.008002322,0.044999227,0.028174223,0.6218878,0.003432843],"about_ca_topic_score_codex":0.00016565077,"about_ca_topic_score_gemma":0.000009278536,"teacher_disagreement_score":0.860292,"about_ca_system_score_codex":0.0003022999,"about_ca_system_score_gemma":0.00028106786,"threshold_uncertainty_score":0.99993944},"labels":[],"label_agreement":null},{"id":"W3176855799","doi":"10.1101/2021.06.25.449907","title":"Temporal derivative computation in the dorsal raphe network revealed by an experimentally-driven augmented integrate-and-fire modeling framework","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; University of Ottawa","funders":"Canadian Institutes of Health Research; Krembil Foundation; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada","keywords":"Dorsal raphe nucleus; Neuroscience; Biological neural network; Computer science; Computation; Excitatory postsynaptic potential; Neuron; Inhibitory postsynaptic potential; Serotonergic; Biology; Serotonin; Algorithm","score_opus":0.026691001501277678,"score_gpt":0.2574530329679053,"score_spread":0.2307620314666276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3176855799","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97468275,0.00039487178,0.0223501,0.0003015321,0.0010538171,0.00096888,0.00006538362,0.00018012182,0.0000025691352],"genre_scores_gemma":[0.9932654,0.0001871584,0.004735296,0.001298805,0.00020052255,0.00021911255,0.000005512177,0.00008694474,0.0000012811555],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99620014,0.00084161246,0.0006131469,0.0013477508,0.0004762673,0.0005211063],"domain_scores_gemma":[0.998439,0.00020955048,0.0003789023,0.0006858595,0.00015362125,0.00013304983],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00053275673,0.0005462885,0.00050079846,0.000114734066,0.0003572385,0.0006421622,0.00055986125,0.0004335749,0.000012402523],"category_scores_gemma":[0.00027230365,0.00047606145,0.000108240616,0.0008420895,0.00014301782,0.00035406547,0.00039705762,0.0013271172,0.0000028147936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015930334,0.00047084977,0.008176803,0.00014423643,0.00005442401,0.00015009879,0.00035173708,0.055961,0.933317,0.0009663752,0.00023020334,0.000017946595],"study_design_scores_gemma":[0.0006449653,0.00016874839,0.006653008,0.00086909375,0.00004588197,1.4656644e-7,0.00016784377,0.95724994,0.033162702,0.000062376355,0.00007808248,0.0008972244],"about_ca_topic_score_codex":0.00014245586,"about_ca_topic_score_gemma":0.000006831289,"teacher_disagreement_score":0.9012889,"about_ca_system_score_codex":0.00020678449,"about_ca_system_score_gemma":0.00017855653,"threshold_uncertainty_score":0.9997691},"labels":[],"label_agreement":null},{"id":"W3177054158","doi":"10.1007/s10548-021-00855-z","title":"Arousal Fluctuations Govern Oscillatory Transitions Between Dominant $$\\gamma$$ and $$\\alpha$$ Occipital Activity During Eyes Open/Closed Conditions","year":2021,"lang":"en","type":"article","venue":"Brain Topography","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Ottawa; University Health Network","funders":"National Research Council Canada","keywords":"Arousal; Neuroscience; Psychology; Physics; Electroencephalography; Brain activity and meditation; Reticular activating system; Sensory system; Noise (video); Transition (genetics); Coherence (philosophical gambling strategy); Reticular formation; Computer science; Chemistry; Artificial intelligence; Stimulation; Quantum mechanics","score_opus":0.021466599779432514,"score_gpt":0.273088953189708,"score_spread":0.2516223534102755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3177054158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99128586,0.000043623266,0.00061858085,0.004908883,0.0003493375,0.0004569218,0.0008509368,0.00010633051,0.0013795112],"genre_scores_gemma":[0.99829006,0.00005889306,0.00016016456,0.00066031143,0.00015672362,0.00005871902,0.00006448761,0.000031796197,0.00051883835],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99798065,0.00025704698,0.00028503168,0.00075690955,0.00032261547,0.0003977129],"domain_scores_gemma":[0.99863863,0.00058168336,0.00012419926,0.0003798842,0.000066183224,0.00020941968],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016982052,0.00025194994,0.0003034647,0.00020635597,0.0010660511,0.0003445921,0.00025045782,0.00011371961,0.00012084127],"category_scores_gemma":[0.0002951834,0.0002611749,0.00020494068,0.0008883335,0.0003129681,0.00073379604,0.00018105657,0.00029230237,0.000015471282],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003186776,0.00016920814,0.0033706238,0.00002912474,0.000033045824,0.00007638518,0.00024128697,0.000014169805,0.9881043,0.0056728707,0.00039834663,0.0018588033],"study_design_scores_gemma":[0.0020514491,0.00017022877,0.7725037,0.000060927992,0.00009789688,0.0001650899,0.00029326588,0.00040241718,0.21302706,0.0074634682,0.0031210654,0.00064346666],"about_ca_topic_score_codex":0.000040037638,"about_ca_topic_score_gemma":0.00015003173,"teacher_disagreement_score":0.7750772,"about_ca_system_score_codex":0.000043257416,"about_ca_system_score_gemma":0.00009262536,"threshold_uncertainty_score":0.999984},"labels":[],"label_agreement":null},{"id":"W3177188115","doi":"10.1364/brain.2021.bth2b.3","title":"Miniaturized head-mounted device for whole cortex mesoscale imaging in freely behaving mice","year":2021,"lang":"en","type":"article","venue":"Biophotonics Congress 2021","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Mesoscale meteorology; Cortex (anatomy); Dorsum; Calcium imaging; Optical imaging; Head (geology); Fluorescence microscope; Sensory system; Neuroscience; Materials science; Biomedical engineering; Fluorescence; Anatomy; Optics; Physics; Geology; Calcium; Biology; Medicine","score_opus":0.02458394522591053,"score_gpt":0.30514748965712624,"score_spread":0.28056354443121573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3177188115","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944195,0.00050564506,0.00008421207,0.0012128223,0.0024115867,0.0005247332,0.00025912866,0.000055961256,0.00052638765],"genre_scores_gemma":[0.99350095,0.00011743923,0.0012145065,0.0017226168,0.000083767576,0.0001235427,0.00011168419,0.000057098256,0.0030684154],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977265,0.0001353062,0.00043631415,0.0008847847,0.00028521894,0.0005318733],"domain_scores_gemma":[0.9986191,0.00048207853,0.00017188971,0.00042129308,0.00018883111,0.00011681969],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022232336,0.00025596202,0.00034040556,0.0001311355,0.00019879713,0.0002334479,0.0002945234,0.00011633636,0.000116022966],"category_scores_gemma":[0.00066484814,0.0002731516,0.0001599849,0.00062256615,0.00008842075,0.00025405272,0.00017585997,0.0002634491,0.000032760363],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000830544,0.00015266558,0.0010293288,0.000040274248,0.00000398059,0.00025343508,0.000061147664,0.00001767124,0.9961042,0.00023009206,0.00027114715,0.0017530225],"study_design_scores_gemma":[0.0028392184,0.00007587117,0.0050299116,0.000209344,0.00004336766,0.000119526456,0.00024816158,0.1029478,0.8410289,0.0002497291,0.046619512,0.00058864575],"about_ca_topic_score_codex":0.00008866314,"about_ca_topic_score_gemma":0.0006947328,"teacher_disagreement_score":0.15507527,"about_ca_system_score_codex":0.00012169238,"about_ca_system_score_gemma":0.00019434706,"threshold_uncertainty_score":0.99997205},"labels":[],"label_agreement":null},{"id":"W3177733346","doi":"10.1126/sciadv.abf4752","title":"Dynamical consequences of regional heterogeneity in the brain’s transcriptional landscape","year":2021,"lang":"en","type":"article","venue":"Science Advances","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":171,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agència de Gestió d'Ajuts Universitaris i de Recerca; National Health and Medical Research Council; Horizon 2020 Framework Programme; Sylvia and Charles Viertel Charitable Foundation; Medical Research Council Canada; Agence Nationale de la Recherche","keywords":"Biology; Evolutionary biology; Ecology; Computational biology; Neuroscience; Geography","score_opus":0.040159609402594,"score_gpt":0.302849861562892,"score_spread":0.262690252160298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3177733346","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98934346,0.00023723276,0.00016145635,0.008893421,0.0002907492,0.000073498224,0.000014359717,0.000010914839,0.0009749267],"genre_scores_gemma":[0.9969954,0.00005729116,0.00017917402,0.0026807238,0.000022365937,0.000007822976,0.0000022676602,0.0000022179568,0.000052743177],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984681,0.00012098516,0.00018171042,0.00038392737,0.00062787475,0.00021741106],"domain_scores_gemma":[0.9992992,0.00037364467,0.00006300686,0.00016737638,0.00006121575,0.00003555084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004684434,0.00007499186,0.00009822993,0.000077418015,0.00018297636,0.000052442243,0.00042877687,0.000028018307,0.000031323918],"category_scores_gemma":[0.00048213432,0.000049671304,0.00005003424,0.0010303977,0.0014770903,0.00055648515,0.000028316334,0.00015049311,0.0000038749868],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012960539,0.000050048126,0.0024441425,0.0000061312307,3.1514946e-7,0.000017018114,0.00009914715,0.00033576536,0.9689499,0.026415393,0.00001730153,0.0016518882],"study_design_scores_gemma":[0.0005658104,0.00019370898,0.080673784,0.000052840176,0.0000051017296,0.000514764,0.0010395065,0.0046981014,0.8655251,0.039795298,0.0066543603,0.00028161219],"about_ca_topic_score_codex":0.0000060176353,"about_ca_topic_score_gemma":0.00012749068,"teacher_disagreement_score":0.10342478,"about_ca_system_score_codex":0.000017906428,"about_ca_system_score_gemma":0.00018944129,"threshold_uncertainty_score":0.54424006},"labels":[],"label_agreement":null},{"id":"W3177866527","doi":"10.1093/cercor/bhab192","title":"Phase Resetting in the Anterior Cingulate Cortex Subserves Childhood Attention and Is Impaired by Epilepsy","year":2021,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Canada Research Chairs; Hospital for Sick Children; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Default mode network; Anterior cingulate cortex; Stimulus (psychology); Epilepsy; Psychology; Dorsum; Cognition; Cognitive psychology; Medicine; Anatomy","score_opus":0.01872963310746641,"score_gpt":0.26797141777279143,"score_spread":0.249241784665325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3177866527","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967126,0.00017093473,0.000026381394,0.002210834,0.00026054925,0.00024840326,0.000061981176,0.000044494347,0.0002637982],"genre_scores_gemma":[0.9967782,0.000089452595,0.00001603277,0.0025607538,0.000064004686,0.000010527845,0.000031265194,0.000018997536,0.0004308025],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99834704,0.00022387787,0.00031028362,0.0005569221,0.00024184462,0.00032001175],"domain_scores_gemma":[0.9993726,0.0001190725,0.00012661093,0.00028622625,0.000030549334,0.000064959866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023371735,0.0001669834,0.00018830536,0.0000571563,0.00025134915,0.00021002287,0.00017417101,0.00006379655,0.00008461461],"category_scores_gemma":[0.00019963134,0.00013049974,0.000082636136,0.00042014592,0.00008093642,0.00027287644,0.00009278442,0.00024118036,0.000012576984],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038316633,0.00028720332,0.013332333,0.000018531451,0.0000043741834,0.0000999937,0.00044123127,3.0264397e-7,0.97233605,0.00016738706,0.00086899474,0.012405307],"study_design_scores_gemma":[0.0033064538,0.00048547602,0.93869424,0.0001269465,0.000027230522,0.00035163306,0.00050832576,0.009091977,0.04514141,0.0014260939,0.00047589323,0.00036430536],"about_ca_topic_score_codex":0.000053189375,"about_ca_topic_score_gemma":0.000073690375,"teacher_disagreement_score":0.9271946,"about_ca_system_score_codex":0.000021932572,"about_ca_system_score_gemma":0.00002615431,"threshold_uncertainty_score":0.5321625},"labels":[],"label_agreement":null},{"id":"W3178296242","doi":"10.1101/2021.07.07.451472","title":"Subspace alignment as a mechanism for binding","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Linear subspace; ENCODE; Subspace topology; Coding (social sciences); Population; Computer science; Value (mathematics); Theoretical computer science; Dimension (graph theory); Position (finance); Mathematics; Artificial intelligence; Machine learning; Biology; Combinatorics; Statistics; Genetics; Economics; Pure mathematics","score_opus":0.025234075392474478,"score_gpt":0.2383790894587479,"score_spread":0.2131450140662734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3178296242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9841068,0.000069913505,0.0083464915,0.0009143181,0.0044570817,0.0013864266,0.000267002,0.00043163184,0.000020330068],"genre_scores_gemma":[0.99454623,0.0002187577,0.002658998,0.001391431,0.0003970476,0.00055096403,5.6414063e-7,0.00016608204,0.00006993918],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9964448,0.00015635052,0.0004585743,0.0016758412,0.0005542995,0.0007101225],"domain_scores_gemma":[0.99767995,0.0002076459,0.0004289698,0.0010958593,0.0003111999,0.00027636706],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00041813805,0.0005765497,0.0005264249,0.0002462494,0.00034870955,0.0006071331,0.00057495007,0.00045939232,0.000053960477],"category_scores_gemma":[0.0010013934,0.0006250095,0.00029825608,0.00046769172,0.0000667882,0.00019317756,0.00062122085,0.0005760938,0.000072661154],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025524798,0.000099677905,0.000045141092,0.00021872853,0.000029907338,0.000085369145,0.000007205031,0.000036963,0.9709313,0.028380252,0.00013884694,0.0000010827655],"study_design_scores_gemma":[0.000438231,0.000100471545,0.00025368546,0.00025550596,0.000076890894,6.5354484e-8,0.000006006216,0.0029859894,0.99353033,0.00005911085,0.0015761015,0.00071761187],"about_ca_topic_score_codex":0.000028769557,"about_ca_topic_score_gemma":0.0000024571789,"teacher_disagreement_score":0.028321141,"about_ca_system_score_codex":0.00036893494,"about_ca_system_score_gemma":0.00043520305,"threshold_uncertainty_score":0.99962014},"labels":[],"label_agreement":null},{"id":"W3178771700","doi":"10.1038/s41598-021-93088-w","title":"An automatic spike sorting algorithm based on adaptive spike detection and a mixture of skew-t distributions","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Simon Fraser University","keywords":"Spike sorting; Spike (software development); Computer science; Skew; Sorting; Distortion (music); Algorithm; Noise (video); Pattern recognition (psychology); Sorting algorithm; Spike train; Cluster analysis; Artificial intelligence; SIGNAL (programming language)","score_opus":0.015485585737664573,"score_gpt":0.24876744286277555,"score_spread":0.233281857125111,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3178771700","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92375004,0.000011088475,0.0721864,0.00010582595,0.0033427153,0.00022678477,0.000030147385,0.000091733564,0.0002552615],"genre_scores_gemma":[0.99771607,8.0044066e-7,0.001922623,0.00006384554,0.00003536841,0.000012146312,0.00003516689,0.000010016722,0.00020395385],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980465,0.00011501385,0.00038649878,0.00078871887,0.00044865976,0.00021457762],"domain_scores_gemma":[0.9987814,0.00009040447,0.000341297,0.00053140824,0.00015015161,0.000105364015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005344958,0.0001238554,0.00015527336,0.00012299306,0.0004779918,0.00019145223,0.0000613673,0.00006086874,0.00003925112],"category_scores_gemma":[0.0007132131,0.000111440735,0.0000722512,0.0007457657,0.00019681256,0.00020028597,0.000036077643,0.000139344,0.0000026270197],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000047504136,0.00014353664,0.00018902049,0.000018862296,0.00000176297,0.00028847426,0.000047571397,0.0001652637,0.9530221,0.00020483774,0.000055996083,0.045857828],"study_design_scores_gemma":[0.000094365205,0.00013344105,0.0027171706,0.000047775262,0.00001558885,0.00022978177,0.00002603185,0.4122731,0.5757547,0.008245995,0.00034163345,0.0001204068],"about_ca_topic_score_codex":0.000012287311,"about_ca_topic_score_gemma":0.0000271286,"teacher_disagreement_score":0.41210786,"about_ca_system_score_codex":0.000043736814,"about_ca_system_score_gemma":0.00010947517,"threshold_uncertainty_score":0.45444214},"labels":[],"label_agreement":null},{"id":"W3180675060","doi":"10.1101/2021.07.12.450085","title":"A corollary discharge mediates saccade related inhibition of single units in mnemonic structures of the human brain","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Western Hospital; Krembil Foundation; University of Toronto; University Health Network","funders":"","keywords":"Corollary; Neuroscience; Saccade; Inhibitory postsynaptic potential; Psychology; Mnemonic; Population; Lobe; Temporal lobe; Human brain; Eye movement; Cognitive psychology; Biology; Anatomy; Medicine","score_opus":0.021148393273538187,"score_gpt":0.22169447004717313,"score_spread":0.20054607677363495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3180675060","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975,0.00022346331,0.000012465324,0.00041671368,0.0009482257,0.0005763361,0.0002243837,0.00008976771,0.000008632673],"genre_scores_gemma":[0.9995439,0.000068362024,0.000046055455,0.00019063674,0.000053015232,0.000026947688,0.0000011924541,0.00006420275,0.000005655176],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9971903,0.00047347776,0.00078323804,0.0007466991,0.00047457663,0.00033170948],"domain_scores_gemma":[0.997797,0.00021835142,0.000850455,0.00084743724,0.00020777446,0.00007896777],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003850011,0.00035594834,0.0005169462,0.0002794359,0.00012246743,0.000074757525,0.00045924616,0.00043391038,0.000026083906],"category_scores_gemma":[0.0013129981,0.00030499895,0.00014247016,0.0015156895,0.00025388584,0.00016273632,0.0005993783,0.0008525407,0.0000011528107],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001301141,0.00012454351,0.00600973,0.00026861145,0.000014995816,0.00001891018,0.000031353487,0.000251382,0.99081224,0.0024260576,0.000028475639,6.865165e-7],"study_design_scores_gemma":[0.00040453667,0.000046363348,0.14479068,0.00054392754,0.000027925322,4.2189058e-8,0.0000057879256,0.00044942353,0.8533987,0.00005336998,0.000021759268,0.00025749317],"about_ca_topic_score_codex":0.00007173241,"about_ca_topic_score_gemma":0.000025363126,"teacher_disagreement_score":0.13878095,"about_ca_system_score_codex":0.00014609245,"about_ca_system_score_gemma":0.0003386583,"threshold_uncertainty_score":0.9999402},"labels":[],"label_agreement":null},{"id":"W3180720334","doi":"10.1016/j.cortex.2021.06.008","title":"Optimizing steady-state responses to index statistical learning: Response to Benjamin and colleagues","year":2021,"lang":"en","type":"article","venue":"Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Entrainment (biomusicology); Interpretability; Psychology; Stimulus (psychology); Rhythm; Cognitive psychology; Artificial neural network; Artificial intelligence; Neural activity; Computer science; Neuroscience; Physics","score_opus":0.02809030324573794,"score_gpt":0.2865055152446976,"score_spread":0.25841521199895967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3180720334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894323,0.00001779107,0.007629167,0.001882122,0.00032923842,0.00020426569,0.00005182574,0.00007517456,0.0003781421],"genre_scores_gemma":[0.9715404,0.000022583905,0.0011368546,0.0021079343,0.000026730762,0.000014852996,0.0000039829883,0.000023556984,0.02512313],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9981503,0.0005156153,0.00020401186,0.0005871493,0.00024888082,0.00029403315],"domain_scores_gemma":[0.9978232,0.0016041005,0.000040416147,0.0001995698,0.00007023796,0.0002624772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034358888,0.000137256,0.00017514742,0.00014128984,0.00023285564,0.00017386637,0.00010008333,0.000040819632,0.000066602784],"category_scores_gemma":[0.0056915926,0.00013627604,0.000024038349,0.00044295756,0.000059273083,0.00008391284,0.00020443178,0.0001926703,0.000082438644],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033137607,0.0000408669,0.001140844,0.000007752516,0.000003297169,0.00057947944,0.0006772106,0.00069617335,0.98387825,0.0005786552,0.0011621374,0.007921574],"study_design_scores_gemma":[0.0025377143,0.0042306357,0.5844211,0.00021588874,0.000044563814,0.00054587977,0.0018037928,0.046547785,0.1798858,0.0015370239,0.17662494,0.0016048647],"about_ca_topic_score_codex":0.00000920158,"about_ca_topic_score_gemma":0.000029315423,"teacher_disagreement_score":0.80399245,"about_ca_system_score_codex":0.000045441215,"about_ca_system_score_gemma":0.000100178506,"threshold_uncertainty_score":0.6813779},"labels":[],"label_agreement":null},{"id":"W3181492826","doi":"10.1101/2021.07.13.452294","title":"NPDS Toolbox: Neural Population (De)Synchronization toolbox for Matlab","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Toolbox; Computer science; MATLAB; Asynchronous communication; Population; Nonlinear system; Synchronization (alternating current); Artificial neural network; Computational science; Control engineering; Artificial intelligence; Physics; Engineering","score_opus":0.020411827716922706,"score_gpt":0.2354888010518819,"score_spread":0.2150769733349592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3181492826","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9694235,0.00013864959,0.023926742,0.00057727896,0.0038263577,0.0012624854,0.00028413977,0.00054929254,0.000011553027],"genre_scores_gemma":[0.99497867,0.00007225155,0.0025784653,0.0010365186,0.0008311249,0.00029897408,0.000006735347,0.00016777572,0.000029490417],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9965586,0.0002390707,0.00061770156,0.001433564,0.00046245515,0.00068859867],"domain_scores_gemma":[0.9977086,0.00019126474,0.0005041721,0.00100067,0.0003821173,0.00021316089],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004275033,0.00055664184,0.0005090808,0.00024817986,0.00036857117,0.00083087053,0.0004950219,0.0005601206,0.00005286868],"category_scores_gemma":[0.001246955,0.00062404433,0.00025148198,0.0006240759,0.00006862785,0.00047827032,0.00024168566,0.00061370636,0.000016135138],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048422273,0.00011945067,0.0026872086,0.00043526344,0.00002069719,0.000037663627,0.00000849334,0.0027371964,0.9916451,0.001998706,0.00023199957,0.0000297947],"study_design_scores_gemma":[0.0011822488,0.00019982365,0.11446196,0.00042654268,0.00020233962,2.824158e-7,0.0000062355334,0.27274087,0.6061447,0.00003429468,0.0027800205,0.0018206656],"about_ca_topic_score_codex":0.00008120288,"about_ca_topic_score_gemma":0.000006782961,"teacher_disagreement_score":0.38550037,"about_ca_system_score_codex":0.00055926945,"about_ca_system_score_gemma":0.0003615113,"threshold_uncertainty_score":0.9996211},"labels":[],"label_agreement":null},{"id":"W3181627517","doi":"10.1016/j.neuron.2021.07.011","title":"The population doctrine in cognitive neuroscience","year":2021,"lang":"en","type":"preprint","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"National Institute of Neurological Disorders and Stroke; Brain and Behavior Research Foundation; National Institute on Drug Abuse; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Fonds de Recherche du Québec - Santé","keywords":"Doctrine; Cognitive neuroscience; Cognition; Population; Cognitive science; Psychology; Neuroscience; Embodied cognition; Educational neuroscience; Cognitive psychology; Sociology; Computer science; Political science; Law; Artificial intelligence","score_opus":0.05100641016648571,"score_gpt":0.3047436847968551,"score_spread":0.2537372746303694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3181627517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928236,0.000043661777,0.00007695035,0.0015154597,0.003881047,0.00047976713,0.000015700092,0.00007057092,0.0010932394],"genre_scores_gemma":[0.9968602,0.00043089845,0.0000042821116,0.0018526608,0.00010743009,0.00004865002,0.000021738811,0.00002253869,0.0006516106],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9975928,0.00035254523,0.00032412057,0.0009481655,0.00043833812,0.00034400597],"domain_scores_gemma":[0.9987694,0.00053695554,0.00019825289,0.00039688527,0.000041834995,0.000056698602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020750497,0.0002259604,0.00018924405,0.00010741258,0.00026582135,0.00042828027,0.00040142165,0.00011114038,0.000009940943],"category_scores_gemma":[0.0019967565,0.0001762987,0.00009424864,0.00044628853,0.000104456005,0.00015511687,0.0006782203,0.00095055037,0.0000072105413],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044447213,0.0005949862,0.027147809,0.00019737612,0.0000043632504,0.0013765525,0.00033709942,0.015379827,0.8011451,0.0061552273,0.0003813711,0.14683582],"study_design_scores_gemma":[0.00078685913,0.0002589442,0.85951346,0.00028351936,0.000026487018,0.00010377085,0.000049060855,0.102485515,0.029162876,0.003909257,0.0026497499,0.0007704745],"about_ca_topic_score_codex":0.00014249506,"about_ca_topic_score_gemma":0.00020734363,"teacher_disagreement_score":0.8323657,"about_ca_system_score_codex":0.000058223275,"about_ca_system_score_gemma":0.00005939385,"threshold_uncertainty_score":0.7189252},"labels":[],"label_agreement":null},{"id":"W3181673075","doi":"10.3389/fnsys.2021.617605","title":"Human EEG and Recurrent Neural Networks Exhibit Common Temporal Dynamics During Speech Recognition","year":2021,"lang":"en","type":"article","venue":"Frontiers in Systems Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Alberta","keywords":"Recurrent neural network; Computer science; Electroencephalography; Magnetoencephalography; Artificial intelligence; Deep learning; Speech recognition; Feature (linguistics); Perception; Pattern recognition (psychology); Artificial neural network; Neuroscience; Psychology","score_opus":0.026572776081386196,"score_gpt":0.24830228592238712,"score_spread":0.22172950984100093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3181673075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.988215,0.00019402841,0.0016383885,0.00021716696,0.008858345,0.00043042266,0.000036850684,0.000110002075,0.00029973668],"genre_scores_gemma":[0.998624,0.00012809792,0.00011871656,0.00034747197,0.000107225256,0.000029527557,0.000020544352,0.000030862262,0.00059351453],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968416,0.00045410194,0.00054903637,0.001107469,0.00046458692,0.00058322604],"domain_scores_gemma":[0.99909675,0.000057173886,0.00023922308,0.00038517348,0.00005075312,0.00017093614],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032646628,0.00027635912,0.00037186837,0.00023552385,0.00050839945,0.00041033135,0.00031571763,0.00011662795,0.0000029522334],"category_scores_gemma":[0.00024554424,0.00028554525,0.00006749039,0.0010617097,0.0002743933,0.0006117549,0.000231769,0.0005116778,0.0000017315324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017330289,0.00068369595,0.3226791,0.00061296055,0.000006006422,0.0039090966,0.000294037,0.015644584,0.58314055,0.0011689726,0.0026414045,0.06904628],"study_design_scores_gemma":[0.0006554798,0.00015801133,0.03125753,0.00018427084,0.000009029216,0.0007879552,0.00019528926,0.96161336,0.004097119,0.00028257605,0.0002848263,0.00047457835],"about_ca_topic_score_codex":0.00006369339,"about_ca_topic_score_gemma":0.000120612036,"teacher_disagreement_score":0.94596875,"about_ca_system_score_codex":0.00018767038,"about_ca_system_score_gemma":0.000027596463,"threshold_uncertainty_score":0.99995965},"labels":[],"label_agreement":null},{"id":"W3182392476","doi":"10.1103/physrevresearch.3.033040","title":"Amplitude-phase description of stochastic neural oscillators across the Hopf bifurcation","year":2021,"lang":"en","type":"article","venue":"Physical Review Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Limit cycle; Statistical physics; Amplitude; Hopf bifurcation; White noise; Physics; Limit (mathematics); Noise (video); Stochastic process; Nonlinear system; Bifurcation; Mathematics; Mathematical analysis; Quantum mechanics; Computer science; Statistics","score_opus":0.20576425995576395,"score_gpt":0.4769704730463672,"score_spread":0.2712062130906032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3182392476","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937724,0.0017828146,0.00059794553,0.0028783549,0.0001802109,0.0005511037,0.000035950943,0.000022538243,0.00017871319],"genre_scores_gemma":[0.99756604,0.0014849086,0.0000054309126,0.00044628867,0.00012632707,0.00006440707,0.000012167836,0.00001348994,0.00028090912],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99726117,0.0007637042,0.00025461515,0.000408137,0.00092912145,0.00038323182],"domain_scores_gemma":[0.9979985,0.000999208,0.0000849689,0.00048198143,0.0003452241,0.00009012193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008866699,0.00010789984,0.00023652051,0.000032802105,0.00031381857,0.00009389922,0.0002975736,0.000021157528,0.000027540716],"category_scores_gemma":[0.004010518,0.00006970257,0.00014649455,0.001368506,0.00030487354,0.00018108629,0.00021526137,0.00042187967,0.00009960815],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029741183,0.00038450805,0.000016309243,0.0004686014,0.000003989594,0.0000069444154,0.000116048206,0.000058583035,0.9506747,0.008724409,0.0006649424,0.038851224],"study_design_scores_gemma":[0.0036829065,0.0028635361,0.006862676,0.0048484756,0.0001923263,0.00022583223,0.0005568005,0.3362306,0.54111403,0.06488964,0.037056237,0.0014769398],"about_ca_topic_score_codex":0.000015609883,"about_ca_topic_score_gemma":0.0000060368843,"teacher_disagreement_score":0.40956068,"about_ca_system_score_codex":0.000053306154,"about_ca_system_score_gemma":0.000072551826,"threshold_uncertainty_score":0.48012546},"labels":[],"label_agreement":null},{"id":"W3183104211","doi":"10.1016/j.ijpsycho.2021.06.014","title":"Biomarkers of mental disorders: Psychophysiological measures as indicators of mechanisms, risk, and outcome prediction","year":2021,"lang":"en","type":"editorial","venue":"International Journal of Psychophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Universität Hamburg","keywords":"Stimulus (psychology); Psychology; Conditional probability; Transition (genetics); Magnetoencephalography; Conditional entropy; Event-related potential; Entropy (arrow of time); Electroencephalography; Cognitive psychology; Audiology; Artificial intelligence; Statistics; Mathematics; Principle of maximum entropy; Neuroscience; Computer science; Physics; Chemistry","score_opus":0.012989439285878777,"score_gpt":0.30418363973255125,"score_spread":0.2911942004466725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183104211","genre_codex":"editorial","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2968236,0.00019640876,0.0005002292,0.00025555713,0.70083,0.00018743557,0.0009892504,0.000012109063,0.00020542185],"genre_scores_gemma":[0.89788103,0.009291899,0.00041641033,0.00014955654,0.09199633,0.000008460146,0.00014022435,0.000043023247,0.000073068666],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99649435,0.0004571048,0.0012205486,0.00046537546,0.001182692,0.0001799472],"domain_scores_gemma":[0.9960006,0.0008784397,0.002410007,0.00019811396,0.00041840973,0.00009444985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038528457,0.00028457466,0.00069427566,0.0006167974,0.000056686284,0.000024059702,0.00068258046,0.0005174147,0.000083607476],"category_scores_gemma":[0.0021373003,0.0002279001,0.0004015758,0.00023146057,0.00035445593,0.00015567167,0.00014136324,0.00082665816,0.0000024787905],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002686267,0.0005391886,0.00038954042,0.000049154438,0.0005254205,0.00002059216,0.000082794024,0.00003773079,0.90387654,0.0003911523,0.076545395,0.01485622],"study_design_scores_gemma":[0.028585363,0.029282117,0.05085125,0.0024883337,0.0015154395,0.0005514625,0.0010878195,0.00095360924,0.1539607,0.31019017,0.41745502,0.003078725],"about_ca_topic_score_codex":0.000041836196,"about_ca_topic_score_gemma":0.0000052355526,"teacher_disagreement_score":0.74991584,"about_ca_system_score_codex":0.000068944035,"about_ca_system_score_gemma":0.00012871016,"threshold_uncertainty_score":0.92934966},"labels":[],"label_agreement":null},{"id":"W3183224133","doi":"10.1186/s40708-021-00135-3","title":"SANTIA: a Matlab-based open-source toolbox for artifact detection and removal from extracellular neuronal signals","year":2021,"lang":"en","type":"article","venue":"Brain Informatics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Key Research and Development Program of China; Natural Science Foundation of Beijing Municipality; Beijing Municipal Commission of Education; Trent University; Nottingham Trent University","keywords":"Toolbox; Computer science; Artifact (error); MATLAB; Artificial intelligence; Identification (biology); Noise (video); Artificial neural network; Pattern recognition (psychology); Image (mathematics)","score_opus":0.03323676528226384,"score_gpt":0.2570023217812291,"score_spread":0.2237655564989653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183224133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8492246,0.000027085365,0.14796226,0.001045728,0.000469031,0.0005268482,0.00010128326,0.00008703943,0.00055609114],"genre_scores_gemma":[0.98130155,0.000012845336,0.0077243224,0.008657004,0.00012481939,0.000032293625,0.00008083899,0.000041506933,0.0020248385],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986656,0.00009328642,0.0004783117,0.0002545986,0.00023109211,0.00027711692],"domain_scores_gemma":[0.99821234,0.001117981,0.00022230032,0.00027652844,0.00006814128,0.00010271874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002818104,0.00018130796,0.00021020569,0.0000668694,0.0002991505,0.0005754882,0.00021619677,0.00009695236,0.00008372166],"category_scores_gemma":[0.0011832215,0.00017471716,0.00007893139,0.00023130758,0.00006286034,0.00060352637,0.0001259679,0.00017457448,0.000026680404],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016420547,0.00006451729,0.00002473963,0.00008611648,0.000008369136,0.000019642968,0.00022343984,0.0020663147,0.9532911,0.00040211205,0.0014256076,0.042223834],"study_design_scores_gemma":[0.0011564313,0.00016437787,0.00031220965,0.000038712424,0.000021554066,0.00009698185,0.00015299009,0.5576554,0.35401446,0.0012175781,0.08490872,0.00026059485],"about_ca_topic_score_codex":0.000013172205,"about_ca_topic_score_gemma":0.000014440393,"teacher_disagreement_score":0.59927666,"about_ca_system_score_codex":0.00002735631,"about_ca_system_score_gemma":0.00007874405,"threshold_uncertainty_score":0.7124759},"labels":[],"label_agreement":null},{"id":"W31843881","doi":"10.1073/pnas.1913227117","title":"梨园耕耘孺子牛——记剧作家、戏曲评论家周桓先生","year":2003,"lang":"en","type":"article","venue":"中国京剧","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Government of Canada","keywords":"Environmental science","score_opus":0.031169955975408763,"score_gpt":0.24398902994464908,"score_spread":0.21281907396924032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W31843881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7891855,0.000024311044,0.0006437906,0.0006908829,0.0015004012,0.00014822099,0.000005845338,0.00017458822,0.20762645],"genre_scores_gemma":[0.9867191,0.000017147766,0.00009136083,0.001972734,0.00004508681,0.000005416107,7.6939983e-7,0.0000107641135,0.011137626],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993201,0.000053621003,0.000087626075,0.00022621258,0.00013539351,0.00017708186],"domain_scores_gemma":[0.99966466,0.000071220275,0.000028576216,0.00017228648,0.000010483088,0.000052784777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007614321,0.000071911825,0.00006355512,0.00003432172,0.00009772633,0.00003596456,0.00008884536,0.000031633055,0.00036931585],"category_scores_gemma":[0.00032108038,0.00006116556,0.000038257655,0.00017398961,0.000032069165,0.00008518446,0.00001552584,0.00008672054,0.0005732621],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010391505,0.00006712906,0.00055268814,0.000007660685,0.0000015231008,0.000033334592,0.00004228242,0.000040734223,0.7812124,0.20396039,0.008405556,0.0056658993],"study_design_scores_gemma":[0.00044257366,0.00013340049,0.0015281308,0.000008102278,0.0000065857657,0.00008522741,0.000019810152,0.0016714653,0.38284576,0.015385211,0.59759325,0.0002804877],"about_ca_topic_score_codex":0.0000046708337,"about_ca_topic_score_gemma":0.0000030387203,"teacher_disagreement_score":0.5891877,"about_ca_system_score_codex":0.000014851081,"about_ca_system_score_gemma":0.000013496828,"threshold_uncertainty_score":0.7368316},"labels":[],"label_agreement":null},{"id":"W3184683335","doi":"10.1101/2021.07.15.452557","title":"Time cell encoding in deep reinforcement learning agents depends on mnemonic demands","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Neurological Institute and Hospital; Canadian Institute for Advanced Research; McGill University; Mila - Quebec Artificial Intelligence Institute","funders":"Institut de Valorisation des Données; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Encoding (memory); ENCODE; Mnemonic; Reinforcement learning; Task (project management); Reinforcement; Population; Computer science; Psychology; Working memory; Neuroscience; Episodic memory; Sensory system; Cognition; Cognitive psychology; Artificial intelligence; Biology","score_opus":0.018623402146477404,"score_gpt":0.2222963397858538,"score_spread":0.2036729376393764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184683335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99670196,0.000098506214,0.00065002555,0.00009512738,0.001314266,0.0005459016,0.000007760054,0.0002683077,0.0003181469],"genre_scores_gemma":[0.99834216,0.00035721448,0.00016340018,0.00059984974,0.00017981874,0.000110685425,8.620775e-7,0.00012358207,0.00012241384],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9959945,0.00032996418,0.0006743193,0.0015413852,0.00068525266,0.0007745927],"domain_scores_gemma":[0.9980761,0.00019001639,0.0004818475,0.00090175064,0.00011828208,0.0002320098],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005803538,0.00060910016,0.0005582653,0.00048430613,0.00027778864,0.00039407107,0.0006006218,0.00044919312,0.00022251306],"category_scores_gemma":[0.00055685843,0.0006740486,0.00020194618,0.000753201,0.00007087349,0.00022574372,0.0007502176,0.0016159149,0.00020840326],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036726717,0.00013478617,0.0012747246,0.00017712408,0.00001216596,0.0003384365,0.000020065027,0.05618724,0.9416758,0.00011129183,0.000026618594,0.0000050604494],"study_design_scores_gemma":[0.00082510896,0.00017884123,0.01041273,0.00057563913,0.000043805685,5.6459495e-8,0.0000062484696,0.17529282,0.8109055,0.0000012887358,0.00077398546,0.0009839291],"about_ca_topic_score_codex":0.000023455777,"about_ca_topic_score_gemma":0.0000034113389,"teacher_disagreement_score":0.13077022,"about_ca_system_score_codex":0.0005808943,"about_ca_system_score_gemma":0.0002611089,"threshold_uncertainty_score":0.9995711},"labels":[],"label_agreement":null},{"id":"W3184930808","doi":"10.1523/jneurosci.2459-20.2021","title":"Stimulus Reliability Automatically Biases Temporal Integration of Discrete Perceptual Targets in the Human Brain","year":2021,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Australian Research Council","keywords":"Weighting; Stimulus (psychology); Sensory system; Perception; Computer science; Reliability (semiconductor); Psychology; Psychophysics; Cognitive psychology; Artificial intelligence; Neuroscience","score_opus":0.058211111277486065,"score_gpt":0.3261840260108154,"score_spread":0.26797291473332935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184930808","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992799,0.000007749067,0.00174166,0.0046577286,0.0004968952,0.00010682715,0.00000836149,0.000008572627,0.0001732302],"genre_scores_gemma":[0.9975515,0.000009707845,0.00029261748,0.001991939,0.000046484223,0.0000013920134,7.179763e-7,0.000006117362,0.00009953756],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9975089,0.0006182312,0.0006566958,0.00027308555,0.0007442378,0.0001988714],"domain_scores_gemma":[0.9982295,0.0009116608,0.00039522996,0.00025671377,0.00014180274,0.00006506783],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0010577687,0.00011470172,0.0002162575,0.0001235676,0.00015351374,0.00010513437,0.0005033187,0.00003611214,0.000018968834],"category_scores_gemma":[0.011240582,0.00007076982,0.00012434676,0.00077911996,0.00037543115,0.0005265836,0.00007711807,0.00037549253,0.0000011074964],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001666149,0.00017897793,0.0011509048,0.000008481017,2.1809022e-7,0.00012949531,0.00037325217,0.0007553546,0.995917,0.00082893844,0.00017939966,0.00046127214],"study_design_scores_gemma":[0.0010140855,0.0022088464,0.66322875,0.00023741569,0.000021089232,0.0012830138,0.00097193697,0.10578981,0.21798262,0.006128134,0.0008075693,0.0003267486],"about_ca_topic_score_codex":0.000009953679,"about_ca_topic_score_gemma":0.000021473254,"teacher_disagreement_score":0.77793443,"about_ca_system_score_codex":0.000036745016,"about_ca_system_score_gemma":0.00013034717,"threshold_uncertainty_score":0.99708813},"labels":[],"label_agreement":null},{"id":"W3185973737","doi":"10.1101/2021.07.18.452836","title":"EEG biomarkers of reduced inhibition in human cortical microcircuits in depression","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"Krembil Foundation; University of Toronto","keywords":"Interneuron; Electroencephalography; Neuroscience; Parvalbumin; Psychology; Resting state fMRI; Biology; Inhibitory postsynaptic potential","score_opus":0.021594723368293912,"score_gpt":0.24268844170382547,"score_spread":0.22109371833553157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185973737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99830604,0.00011124022,0.00010211974,0.00006449996,0.0007148598,0.0005550863,0.000043415494,0.00008456192,0.000018176597],"genre_scores_gemma":[0.99943656,0.000076209166,0.00015654332,0.00013391602,0.000052533673,0.000078523386,7.7229987e-7,0.00006319247,0.0000017466145],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968217,0.00038913207,0.0007914065,0.001175553,0.0003827033,0.00043953117],"domain_scores_gemma":[0.99852395,0.00012925532,0.00039679476,0.00068736053,0.00013498534,0.00012767798],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000490835,0.00036289607,0.0005165425,0.0005459096,0.00008793035,0.000111923124,0.00023923497,0.00048777062,0.000026440892],"category_scores_gemma":[0.000680063,0.00040906988,0.00012609578,0.00097508985,0.00014469908,0.0001878906,0.00041516722,0.0009112929,0.0000043479195],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003348151,0.0002692188,0.008159064,0.00023538497,0.0000071667378,0.0002279979,0.000011993999,0.00009096134,0.99075615,0.00019192435,0.000013259317,0.0000034193185],"study_design_scores_gemma":[0.00047530758,0.000027157987,0.24345146,0.00078042963,0.000012302241,4.932891e-8,0.0000035436433,0.00070204,0.75423175,0.0000045389424,0.000010174321,0.00030123044],"about_ca_topic_score_codex":0.00013172197,"about_ca_topic_score_gemma":0.000022656517,"teacher_disagreement_score":0.23652436,"about_ca_system_score_codex":0.00029643375,"about_ca_system_score_gemma":0.00026097582,"threshold_uncertainty_score":0.9998361},"labels":[],"label_agreement":null},{"id":"W3186215048","doi":"10.3389/fnsys.2021.688517","title":"The Impact of Small Time Delays on the Onset of Oscillations and Synchrony in Brain Networks","year":2021,"lang":"en","type":"article","venue":"Frontiers in Systems Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary; University of Waterloo; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Cumming School of Medicine, University of Calgary","keywords":"Eigenvalues and eigenvectors; Synchronization (alternating current); Computer science; Stability (learning theory); Control theory (sociology); Artificial neural network; Biological neural network; Topology (electrical circuits); Dynamics (music); Spectrum (functional analysis); Matrix (chemical analysis); Neuroscience; Mathematics; Physics; Biology; Artificial intelligence; Combinatorics","score_opus":0.01969040603293262,"score_gpt":0.24115734199928746,"score_spread":0.22146693596635483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186215048","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99517286,0.00019120859,0.002208265,0.00054439506,0.0010658851,0.0003730505,0.000030308463,0.00000969246,0.00040434947],"genre_scores_gemma":[0.9993015,0.00011038889,0.000019404264,0.00016650354,0.000014146546,0.000013580412,6.5111817e-7,0.000009065562,0.00036476305],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980937,0.00058616657,0.0003863245,0.00039113613,0.00025686022,0.0002857637],"domain_scores_gemma":[0.99812233,0.0012015561,0.00020607491,0.0003878469,0.000036240413,0.00004592429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073762663,0.00012735993,0.00021964146,0.00011705841,0.00019252342,0.00008388689,0.00034966285,0.00004993176,0.0000013910015],"category_scores_gemma":[0.0017230609,0.00007558313,0.0000635268,0.0011724746,0.0004571185,0.00009782265,0.000100185935,0.00021493039,6.2715344e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014508441,0.000224858,0.13355123,0.00004818297,0.000005519235,0.00007874351,0.0003858915,0.4027202,0.44845623,0.004753265,0.0072425925,0.00238819],"study_design_scores_gemma":[0.000192087,0.00018481685,0.07830401,0.00008640236,0.0000021004107,0.000055872875,0.000092501854,0.9192183,0.001393269,0.00019533593,0.00017796508,0.00009736596],"about_ca_topic_score_codex":0.0000882811,"about_ca_topic_score_gemma":0.000030767635,"teacher_disagreement_score":0.516498,"about_ca_system_score_codex":0.00006485262,"about_ca_system_score_gemma":0.000100534555,"threshold_uncertainty_score":0.30821905},"labels":[],"label_agreement":null},{"id":"W3186346843","doi":"10.1523/jneurosci.0863-21.2021","title":"Combining Repetition Suppression and Pattern Analysis Provides New Insights into the Role of M1 and Parietal Areas in Skilled Sequential Actions","year":2021,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Posterior parietal cortex; Contrast (vision); Functional magnetic resonance imaging; Sequence (biology); Repetition (rhetorical device); Context (archaeology); Premotor cortex; Psychology; Representation (politics); Population; Neuroscience; Sequence learning; Parietal lobe; Cognitive psychology; Communication; Computer science; Biology; Artificial intelligence; Medicine; Anatomy","score_opus":0.023993043497870795,"score_gpt":0.2708713659277308,"score_spread":0.24687832242986002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186346843","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976338,0.00009443799,0.0010047165,0.000853389,0.00029960737,0.000056149198,0.0000011415801,0.0000037789293,0.000052973366],"genre_scores_gemma":[0.99927545,0.00033580267,0.000034238146,0.00026017343,0.000029597479,8.184716e-7,3.9610225e-7,0.00000390413,0.000059637114],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988098,0.00019330521,0.0003241049,0.00023938154,0.00032459962,0.00010879087],"domain_scores_gemma":[0.9992058,0.00020628561,0.00032270953,0.00012318832,0.00006248147,0.00007951835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017186278,0.00007975509,0.0001756703,0.0002007337,0.00018294784,0.00012289861,0.00011888875,0.000029050716,0.000004398964],"category_scores_gemma":[0.00068805966,0.000053336655,0.00006611863,0.0007977709,0.00016795508,0.0004783296,0.00010585643,0.00021553393,1.0233808e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000234313,0.000050945015,0.011058629,0.0000049661353,0.000002729365,0.00004289874,0.0006287032,0.0004098675,0.9821277,0.00018519626,0.00000471599,0.005460217],"study_design_scores_gemma":[0.0008996876,0.0004885703,0.35808364,0.00012608028,0.00015745453,0.0006501753,0.0006879425,0.09348306,0.53839475,0.0057394914,0.0011010516,0.00018813896],"about_ca_topic_score_codex":0.00006677664,"about_ca_topic_score_gemma":0.00013466351,"teacher_disagreement_score":0.44373298,"about_ca_system_score_codex":0.000015787336,"about_ca_system_score_gemma":0.000083829844,"threshold_uncertainty_score":0.21750057},"labels":[],"label_agreement":null},{"id":"W3187158353","doi":"10.1007/s11571-021-09702-0","title":"Non-additive activity modulation during a decision making task involving tactic selection","year":2021,"lang":"en","type":"article","venue":"Cognitive Neurodynamics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Rheinische Friedrich-Wilhelms-Universität Bonn","keywords":"Stimulus (psychology); SMA*; Neuroscience; Prefrontal cortex; Neuron; Supplementary motor area; Psychology; Perception; Cognition; Computer science; Cognitive psychology; Functional magnetic resonance imaging","score_opus":0.018133949196119572,"score_gpt":0.26956285953525005,"score_spread":0.2514289103391305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3187158353","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96602803,0.0000067295364,0.031597704,0.00006894886,0.000963439,0.00036645995,0.00006904496,0.00016563256,0.00073401554],"genre_scores_gemma":[0.99869937,0.000089312976,0.00015250496,0.00054674636,0.00017405205,0.000033178305,0.000027183527,0.00006480927,0.00021286841],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99749887,0.00023998386,0.00028871282,0.0010548001,0.00046613207,0.00045149593],"domain_scores_gemma":[0.9980309,0.001057479,0.00025697323,0.00020529798,0.00035275807,0.00009661266],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011875023,0.00030564962,0.0002554981,0.00022729071,0.0006588542,0.00023091158,0.00012287084,0.00013162056,0.000047244015],"category_scores_gemma":[0.0030829515,0.00034250613,0.00014295308,0.0010866696,0.000081422884,0.0008767693,0.00020531788,0.00057259935,0.000053944204],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038368703,0.0001564639,0.0018625818,0.000033044184,0.000009044141,0.00020096448,0.00009064376,0.0014560773,0.96207553,0.000185643,0.000007953758,0.033538364],"study_design_scores_gemma":[0.000682134,0.0001084222,0.28377265,0.00019589541,0.000038829934,0.00026176742,0.00005942394,0.61207616,0.10125229,0.0011869944,0.000013760272,0.00035167678],"about_ca_topic_score_codex":0.000005042775,"about_ca_topic_score_gemma":0.00007013919,"teacher_disagreement_score":0.8608233,"about_ca_system_score_codex":0.0002288812,"about_ca_system_score_gemma":0.00009720741,"threshold_uncertainty_score":0.99990267},"labels":[],"label_agreement":null},{"id":"W3187491660","doi":"10.1038/s42003-021-02437-y","title":"Neocortical inhibitory interneuron subtypes are differentially attuned to synchrony- and rate-coded information","year":2021,"lang":"en","type":"article","venue":"Communications Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Mila - Quebec Artificial Intelligence Institute; The Scarborough Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Human Frontier Science Program","keywords":"Interneuron; Neocortex; Neuroscience; Inhibitory postsynaptic potential; Somatosensory system; Excitatory postsynaptic potential; Biology; Stimulation","score_opus":0.03551065801749683,"score_gpt":0.2832131803093502,"score_spread":0.24770252229185338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3187491660","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874428,0.00006409812,0.002635927,0.008205391,0.00035088495,0.0001837792,0.000026295742,0.0000741523,0.001016681],"genre_scores_gemma":[0.99628145,0.00024093842,0.00028220657,0.0029264225,0.000022817185,0.000032654716,0.00007266868,0.0000063501816,0.00013448628],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999017,0.0003695255,0.00023116106,0.0001936607,0.000043163433,0.00014549194],"domain_scores_gemma":[0.99870074,0.0003765514,0.000081329454,0.0006934713,0.000078211466,0.000069692534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007997968,0.00009351836,0.00012745423,0.00008099591,0.00019154954,0.000069950634,0.00031712832,0.00007315239,0.000027977641],"category_scores_gemma":[0.00090697553,0.00008627362,0.000029780727,0.00019267989,0.00017437125,0.0001701689,0.0006557726,0.00017849314,0.00008903677],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048098373,0.00009630812,0.0049471236,0.000015522108,0.000006153129,0.0000025128525,0.00018149262,0.000008442292,0.9444239,0.033594538,0.00038630233,0.016289594],"study_design_scores_gemma":[0.0025279867,0.0010069789,0.32636276,0.0001787589,0.00009575104,0.00025021943,0.0005920467,0.052489646,0.4151913,0.015065958,0.18493004,0.0013085445],"about_ca_topic_score_codex":0.000009515944,"about_ca_topic_score_gemma":0.00009871226,"teacher_disagreement_score":0.5292326,"about_ca_system_score_codex":0.000026630394,"about_ca_system_score_gemma":0.000031404663,"threshold_uncertainty_score":0.3518136},"labels":[],"label_agreement":null},{"id":"W3188743644","doi":"10.1101/2021.08.08.455571","title":"Cell-Type Specific Responses to Associative Learning in the Primary Motor Cortex","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Neuroscience; Stimulus (psychology); Associative learning; Psychology; Classical conditioning; Associative property; Primary motor cortex; Cell type; Conditioning; Motor cortex; Cognitive psychology; Biology; Stimulation; Cell","score_opus":0.024249351230389453,"score_gpt":0.23163421166406511,"score_spread":0.20738486043367566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3188743644","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99565727,0.00028377818,0.00012866959,0.00067491067,0.0019663086,0.00092857116,0.00007655059,0.00020410476,0.00007983353],"genre_scores_gemma":[0.9962604,0.00042218735,0.00049611565,0.0021771844,0.00031135476,0.00012341549,4.8982304e-7,0.000093394876,0.00011545718],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99568814,0.0011915773,0.0004936621,0.0013341437,0.0007041729,0.0005883157],"domain_scores_gemma":[0.9974107,0.00085816695,0.00039064177,0.0009173996,0.0002720412,0.00015103897],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011042177,0.00047051557,0.00049790094,0.00032438277,0.0002969245,0.00059544126,0.0008107709,0.00034352235,0.000042122076],"category_scores_gemma":[0.001854389,0.00042689528,0.00015460669,0.0013581839,0.00008096713,0.00016663637,0.0006255965,0.0016827777,0.00009701215],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000121890094,0.00014598967,0.0038150356,0.00007071435,0.000008421226,0.00025996874,0.00006891323,0.00008632861,0.99487686,0.00013373414,0.00040984893,0.0000023213538],"study_design_scores_gemma":[0.00041027754,0.00025033383,0.7986146,0.0002620445,0.000032272736,6.3240414e-8,0.000042856478,0.00052627677,0.18787806,0.000002586723,0.011103889,0.0008767423],"about_ca_topic_score_codex":0.000024959272,"about_ca_topic_score_gemma":0.0000023910177,"teacher_disagreement_score":0.8069988,"about_ca_system_score_codex":0.00050902436,"about_ca_system_score_gemma":0.0005435989,"threshold_uncertainty_score":0.99981827},"labels":[],"label_agreement":null},{"id":"W3188902612","doi":"10.1016/j.neuroscience.2021.07.026","title":"Parallel and Recurrent Cascade Models as a Unifying Force for Understanding Subcellular Computation","year":2021,"lang":"en","type":"article","venue":"Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Waterloo; Montreal Neurological Institute and Hospital; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cascade; Computer science; Artificial neural network; Artificial intelligence; Computational model; Computation; Computational neuroscience; Models of neural computation; Machine learning; Algorithm; Chemistry","score_opus":0.15794191132609314,"score_gpt":0.31192639839087544,"score_spread":0.1539844870647823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3188902612","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30062944,0.000050702092,0.6963368,0.0010071477,0.00087511184,0.00030973234,0.000011485641,0.0000702013,0.00070936774],"genre_scores_gemma":[0.9969139,0.0001295857,0.0006804728,0.001705251,0.000028094037,0.000015756717,0.000003247806,0.000014684937,0.00050898455],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99847925,0.00007544102,0.00017331752,0.000675579,0.0002876436,0.0003087542],"domain_scores_gemma":[0.99935573,0.00028505202,0.000083357205,0.00013247668,0.00003690033,0.00010649477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015139279,0.00012863331,0.00011933734,0.000069725866,0.0005083375,0.00022115598,0.00012803312,0.000040171406,0.0000017617174],"category_scores_gemma":[0.00046994406,0.0001268274,0.000048427464,0.000408798,0.00013563121,0.00044019142,0.000094386494,0.00012373576,0.0000016528462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003627516,0.00003748269,0.000030295512,0.000035890265,4.2327696e-7,0.000047121583,0.00013761462,0.020397348,0.8312955,0.14629337,0.000052757878,0.0016359406],"study_design_scores_gemma":[0.00035867648,0.0001627086,0.00007683837,0.000020269705,0.0000062758786,0.00015834195,0.00008051434,0.863037,0.025324581,0.110304095,0.0003152455,0.00015543633],"about_ca_topic_score_codex":0.0000043189,"about_ca_topic_score_gemma":0.000005275521,"teacher_disagreement_score":0.8426397,"about_ca_system_score_codex":0.000063017425,"about_ca_system_score_gemma":0.00006381916,"threshold_uncertainty_score":0.5171872},"labels":[],"label_agreement":null},{"id":"W3189509657","doi":"10.1101/2021.08.03.454994","title":"Long-range cortical synchronization supports abrupt visual learning","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Synchronization (alternating current); Neuroscience; Task (project management); Psychology; Sensory system; Cognitive psychology; Computer science; Channel (broadcasting)","score_opus":0.014312129570568145,"score_gpt":0.23757813667207464,"score_spread":0.2232660071015065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3189509657","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98305607,0.00017047906,0.012432877,0.00019497026,0.0029095192,0.0005527913,0.000037021524,0.0006284146,0.000017878694],"genre_scores_gemma":[0.9980704,0.0002772036,0.00030405066,0.00049817096,0.0005632137,0.00008631714,0.00000178941,0.00016444581,0.000034381224],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9958566,0.0004720073,0.00061459333,0.0016300482,0.0007166138,0.0007101612],"domain_scores_gemma":[0.9979338,0.00020887707,0.00043364768,0.0007499613,0.0003471381,0.00032656384],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00045530338,0.0005757791,0.00054839987,0.00024390907,0.0004220478,0.0006802735,0.00039662822,0.0005685803,0.00028698178],"category_scores_gemma":[0.0016696535,0.00063852273,0.00020837877,0.0007303981,0.00016476728,0.00032407857,0.0006653001,0.001656541,0.000109253044],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030101313,0.0002451317,0.0259609,0.0003183979,0.000029724617,0.00075202464,0.000010445128,0.00092124846,0.97128785,0.00035750607,0.00007585038,0.00001080692],"study_design_scores_gemma":[0.0009146261,0.00031531884,0.30266738,0.0007366847,0.00024419767,6.21305e-7,0.000008051031,0.089248665,0.6020248,0.0000027902659,0.0016356079,0.002201264],"about_ca_topic_score_codex":0.000022778482,"about_ca_topic_score_gemma":0.0000037248712,"teacher_disagreement_score":0.36926308,"about_ca_system_score_codex":0.00032386067,"about_ca_system_score_gemma":0.0005276168,"threshold_uncertainty_score":0.9996066},"labels":[],"label_agreement":null},{"id":"W3189603549","doi":"10.1101/2021.08.02.454720","title":"A vibrissa pathway that activates the limbic system","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research; National Institutes of Health","keywords":"Neuroscience; Forebrain; Sensory system; Biology; GABAergic; Cortex (anatomy); Afferent; Central nervous system; Inhibitory postsynaptic potential","score_opus":0.025035476479280123,"score_gpt":0.20844860792733455,"score_spread":0.18341313144805443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3189603549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923322,0.00037619597,0.0006041829,0.00064265664,0.004248556,0.00086465443,0.0001534024,0.00072779134,0.00005032997],"genre_scores_gemma":[0.9980521,0.0001758092,0.00016438794,0.00068841793,0.00050671276,0.0002473092,2.473618e-7,0.00014355528,0.000021453361],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99620485,0.00049331755,0.00044556434,0.0015153289,0.0006839762,0.0006569619],"domain_scores_gemma":[0.9968514,0.00036086704,0.00052716624,0.0018342078,0.0002120085,0.00021438753],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000523509,0.0006301998,0.0005559661,0.00016429178,0.00051107234,0.0010045111,0.0010027593,0.0004531211,0.000033937235],"category_scores_gemma":[0.00049738033,0.0004932834,0.00029644012,0.00067005487,0.00017032135,0.00026025463,0.0009857812,0.001216406,0.00008222328],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001960789,0.00007521278,0.00043014277,0.0003383755,0.00003285033,0.00017730793,0.000009835095,0.000073026924,0.9968137,0.0019226207,0.00010324789,0.000004039773],"study_design_scores_gemma":[0.00021204149,0.00004042442,0.009567471,0.00053644745,0.00005439103,1.8713749e-7,0.000020076028,0.0030432795,0.9830657,0.0000017588258,0.0028243852,0.00063379394],"about_ca_topic_score_codex":0.000045343582,"about_ca_topic_score_gemma":0.0000022435836,"teacher_disagreement_score":0.013747988,"about_ca_system_score_codex":0.00032856592,"about_ca_system_score_gemma":0.00047147792,"threshold_uncertainty_score":0.99975187},"labels":[],"label_agreement":null},{"id":"W3191197879","doi":"10.1111/j.1528-1167.2010.02804.x","title":"Neocortical synchronization","year":2010,"lang":"en","type":"article","venue":"Epilepsia","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"U.S. National Library of Medicine; National Institute of Neurological Disorders and Stroke; Canadian Institutes of Health Research","keywords":"Neuroscience; Synchronization (alternating current); Premovement neuronal activity; Local field potential; Psychology; Biology; Computer science; Telecommunications","score_opus":0.014239657235967486,"score_gpt":0.2482225619031531,"score_spread":0.2339829046671856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3191197879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9799695,0.0000010213145,0.004911046,0.0010323882,0.0015199347,0.000103044775,0.0000026095354,0.00011903611,0.01234144],"genre_scores_gemma":[0.997888,0.0000033185802,0.00019795567,0.0009010812,0.00020033983,0.0000060953453,0.0000026843768,0.000009826847,0.0007906523],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99942595,0.000021679418,0.00009294352,0.00019889724,0.00012066735,0.000139838],"domain_scores_gemma":[0.99966556,0.000082224615,0.000026411037,0.00015652335,0.000013419142,0.00005586903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005051806,0.000058720503,0.00005168009,0.000030197374,0.00009204529,0.00004173061,0.00009249314,0.00004689893,0.00049827667],"category_scores_gemma":[0.0004346441,0.000050569277,0.00002633062,0.00014630845,0.000054651893,0.0001128588,0.000026559776,0.00018696324,0.00041670512],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000058965215,0.000027035634,0.0014407232,0.0000021394922,3.6853234e-7,0.000008769882,0.000010855815,0.000012928549,0.89441615,0.08631576,0.00087724696,0.01688212],"study_design_scores_gemma":[0.00088915747,0.00030819888,0.111279815,0.000013019688,0.000020026862,0.00025435133,0.00001084945,0.34170878,0.4017316,0.027030563,0.11609299,0.00066065],"about_ca_topic_score_codex":0.0000029363603,"about_ca_topic_score_gemma":0.000005036262,"teacher_disagreement_score":0.49268454,"about_ca_system_score_codex":0.0000074265276,"about_ca_system_score_gemma":0.000013634374,"threshold_uncertainty_score":0.545578},"labels":[],"label_agreement":null},{"id":"W3191357925","doi":"10.1109/isscs52333.2021.9497380","title":"Digital Realization for Ca2+ Waves Stimulated by the (mGlu5) Receptors","year":2021,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Realization (probability); Neuroscience; Neurophysiology; Computer science; Metabotropic glutamate receptor; Astrocyte; Metabotropic receptor; Set (abstract data type); Receptor; Computer hardware; Central nervous system; Biology; Glutamate receptor; Mathematics","score_opus":0.024150928109455055,"score_gpt":0.2532135484099077,"score_spread":0.22906262030045263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3191357925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8851131,0.00004496193,0.05232813,0.009549056,0.0028232345,0.0009591311,0.00029466907,0.0004002067,0.04848749],"genre_scores_gemma":[0.93688345,0.000020435682,0.000032531974,0.0015138673,0.000045852546,0.000010666449,0.00013421613,0.000013828372,0.061345134],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99939984,0.00002798765,0.00010916516,0.00022461615,0.000113019065,0.00012537747],"domain_scores_gemma":[0.99949753,0.00025945334,0.00003375367,0.00013177286,0.00004907353,0.000028388735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000042520613,0.00006684777,0.00005540438,0.000012995323,0.00015951085,0.00016720056,0.000075920434,0.000031580028,0.0000957138],"category_scores_gemma":[0.0005520778,0.000042619893,0.000040610757,0.00021741305,0.00003173115,0.00017546208,0.000029126722,0.00004106138,0.000014555904],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050538023,0.00013978763,0.00024070735,0.000013790917,0.000007045197,0.0000030452425,0.00007132786,0.00070014416,0.82172626,0.024983272,0.10743438,0.044629678],"study_design_scores_gemma":[0.0005879075,0.00019623432,0.00012558232,0.000009742011,0.000012665728,0.000025572537,0.00012279411,0.1466775,0.554415,0.005092943,0.29248232,0.00025175206],"about_ca_topic_score_codex":0.0000051695906,"about_ca_topic_score_gemma":0.0000071818013,"teacher_disagreement_score":0.26731128,"about_ca_system_score_codex":0.00001591943,"about_ca_system_score_gemma":0.000017163062,"threshold_uncertainty_score":0.17379887},"labels":[],"label_agreement":null},{"id":"W3191753512","doi":"10.1101/2021.07.31.452742","title":"Deliberation gated by opportunity cost adapts to context with urgency","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research; Université de Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"Fonds de Recherche du Québec - Santé; Institut de Valorisation des Données; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Deliberation; Reinforcement learning; Computer science; Context (archaeology); Task (project management); Artificial intelligence; Heuristic; Value (mathematics); Process (computing); Machine learning; Cognitive psychology; Psychology; Economics","score_opus":0.03200909357518338,"score_gpt":0.23021620356105124,"score_spread":0.19820710998586785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3191753512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98794746,0.00011043917,0.006925191,0.0010376966,0.0015582724,0.0014992342,0.00046953588,0.00042348198,0.000028709363],"genre_scores_gemma":[0.9950126,0.00014211326,0.0005606122,0.0037017858,0.00016969508,0.00022944882,0.0000032056826,0.00012673925,0.000053843345],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9965476,0.00028077717,0.00051957235,0.0014951732,0.0005890146,0.00056790054],"domain_scores_gemma":[0.9971877,0.000101789126,0.00036808866,0.0010872465,0.0005895512,0.00066563423],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032100684,0.00057600136,0.0005049103,0.00019370715,0.00030298164,0.0005346699,0.00046829847,0.00035798643,0.00017198747],"category_scores_gemma":[0.0007648495,0.00056825846,0.000105209845,0.00081483484,0.0000892177,0.00030641354,0.00038091085,0.0007795559,0.00006008293],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069298105,0.00017320515,0.00031415944,0.00007533536,0.000024078776,0.00012782446,0.000008563004,0.00018680908,0.99616957,0.000329756,0.0024934881,0.00002790794],"study_design_scores_gemma":[0.00050789764,0.00018896433,0.005068151,0.0003271506,0.00006826012,1.1553579e-7,0.000006429201,0.0029752096,0.9698278,0.0000010402377,0.019965589,0.0010633951],"about_ca_topic_score_codex":0.00010173896,"about_ca_topic_score_gemma":0.00002982345,"teacher_disagreement_score":0.026341775,"about_ca_system_score_codex":0.00027089618,"about_ca_system_score_gemma":0.0007858119,"threshold_uncertainty_score":0.9996769},"labels":[],"label_agreement":null},{"id":"W3191879784","doi":"10.1038/s41467-021-24973-1","title":"Working memory representations in visual cortex mediate distraction effects","year":2021,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":113,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Eye Institute; York University","keywords":"Working memory; Distraction; Visual memory; Visual cortex; Computer science; Visual short-term memory; Cognitive psychology; Spatial memory; Neuroscience; Psychology; Cognition","score_opus":0.030088358482287903,"score_gpt":0.3433133211221482,"score_spread":0.31322496263986027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3191879784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9485509,0.0017973473,0.0003899706,0.014705743,0.0034695147,0.0006255204,0.000016591053,0.0002673195,0.030177092],"genre_scores_gemma":[0.99720836,0.00062336103,0.00046465086,0.00097436464,0.00005450705,0.000050682465,0.00010134393,0.000013306144,0.00050942926],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99880546,0.00036042146,0.00020260774,0.00028730347,0.0001898371,0.00015433977],"domain_scores_gemma":[0.99743176,0.0014998668,0.00009473054,0.000869874,0.000055447894,0.00004830777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012961084,0.00009223109,0.000107069536,0.000102194426,0.0002992687,0.000071729715,0.0003645056,0.00014839157,0.000018010063],"category_scores_gemma":[0.0016477896,0.00009668759,0.000055910183,0.0008412917,0.00007931149,0.00018923101,0.00021842503,0.0010015597,0.000027826049],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015966323,0.00045456976,0.006703262,0.000013575126,0.000006935567,0.000053291464,0.00019827877,0.00011667222,0.9564273,0.02189246,0.0007847968,0.01333291],"study_design_scores_gemma":[0.0017471631,0.00008517529,0.67691773,0.00023558742,0.00007587021,0.0001982804,0.0005539305,0.052304372,0.22636963,0.0066813184,0.03406214,0.00076881394],"about_ca_topic_score_codex":0.000015254517,"about_ca_topic_score_gemma":0.0012690466,"teacher_disagreement_score":0.73005766,"about_ca_system_score_codex":0.00007147384,"about_ca_system_score_gemma":0.000054876047,"threshold_uncertainty_score":0.43513343},"labels":[],"label_agreement":null},{"id":"W3191883539","doi":"10.3390/biology10080764","title":"Mechanisms of Flexible Information Sharing through Noisy Oscillations","year":2021,"lang":"en","type":"article","venue":"Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Synchronization (alternating current); Flexibility (engineering); Mutual information; Noise (video); Phase synchronization; Asymmetry; Statistical physics; Excitatory postsynaptic potential; Computer science; Phase (matter); Physics; Biology; Inhibitory postsynaptic potential; Neuroscience; Mathematics; Artificial intelligence; Channel (broadcasting); Telecommunications; Statistics","score_opus":0.049192668078916126,"score_gpt":0.2872780409095926,"score_spread":0.23808537283067646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3191883539","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76447135,0.000025193312,0.1906166,0.0012636255,0.0022472618,0.00017946264,0.00007200143,0.00012366881,0.041000858],"genre_scores_gemma":[0.99799746,0.000013996446,0.0007306169,0.0007730046,0.000015877333,0.000004489124,0.000024520983,0.0000024336564,0.00043760822],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995841,0.00002380896,0.00013807332,0.000116954136,0.000042675852,0.000094386865],"domain_scores_gemma":[0.9997045,0.000054228396,0.00006462675,0.00012330744,0.000040569597,0.000012770269],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000040220446,0.00004191432,0.000067591594,0.000030084058,0.000060347804,0.000011449321,0.00006607813,0.000046704048,0.00013165735],"category_scores_gemma":[0.00017350656,0.000037433332,0.000028216617,0.00018400743,0.000027541291,0.0001999621,0.00006727151,0.00004161295,0.000048174268],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000026927735,0.0000061842884,0.00010015212,0.0000031118689,8.923136e-7,3.8682327e-7,0.000042584357,0.000039492832,0.52884126,0.47013947,0.000031746957,0.0007920035],"study_design_scores_gemma":[0.00021753673,0.00010619506,0.002358241,0.000006627648,0.0000052709324,0.000027322048,0.00006728037,0.003952121,0.7973102,0.18242179,0.013426315,0.00010116206],"about_ca_topic_score_codex":0.000016166132,"about_ca_topic_score_gemma":0.0000032295584,"teacher_disagreement_score":0.28771767,"about_ca_system_score_codex":0.000010295856,"about_ca_system_score_gemma":0.000018424975,"threshold_uncertainty_score":0.15264869},"labels":[],"label_agreement":null},{"id":"W3192070189","doi":"10.3389/fnsys.2021.705371","title":"Information Transmission in Delay-Coupled Neuronal Circuits in the Presence of a Relay Population","year":2021,"lang":"en","type":"article","venue":"Frontiers in Systems Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Agencia Estatal de Investigación","keywords":"Relay; Neuroscience; Thalamus; Population; Neocortex; Computer science; Information transmission; Cortex (anatomy); Synchronization (alternating current); Physics; Biology; Telecommunications; Computer network; Channel (broadcasting)","score_opus":0.018996429162448973,"score_gpt":0.2342112868060927,"score_spread":0.21521485764364373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3192070189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98452497,0.00007184642,0.011813922,0.00030101804,0.0024550157,0.0005766036,0.000008742288,0.000017817267,0.00023008617],"genre_scores_gemma":[0.99930996,0.00008205557,0.000057709676,0.00042910464,0.00001454941,0.00003969078,0.000005007434,0.00000705148,0.000054874432],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997263,0.0006203685,0.0006959191,0.00038403657,0.00071269704,0.00032394257],"domain_scores_gemma":[0.99918014,0.00021198114,0.00022010446,0.00030688284,0.00003778383,0.0000431153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007627776,0.0001427057,0.00023394328,0.00039294694,0.000086874505,0.000110633904,0.00046986435,0.00007722575,0.0000013727148],"category_scores_gemma":[0.0010677177,0.00011631624,0.00004576054,0.0023521853,0.0001001756,0.0011715828,0.000045930592,0.00032332604,0.0000012097768],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011024191,0.00035799172,0.18693264,0.00030327687,6.560895e-7,0.00023155971,0.0039096046,0.18585674,0.6082645,0.0029327143,0.0003257927,0.010774248],"study_design_scores_gemma":[0.00060236704,0.00008603593,0.27926245,0.00016780908,0.0000023010066,0.00010265142,0.00042387782,0.7157716,0.00243873,0.00024796158,0.00073203474,0.00016218287],"about_ca_topic_score_codex":0.0002251276,"about_ca_topic_score_gemma":0.00003283066,"teacher_disagreement_score":0.6058258,"about_ca_system_score_codex":0.00007772178,"about_ca_system_score_gemma":0.00008166562,"threshold_uncertainty_score":0.47432384},"labels":[],"label_agreement":null},{"id":"W3192638087","doi":"10.1038/s41598-021-95037-z","title":"Neural burst codes disguised as rate codes","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Government of Ontario","keywords":"Burstiness; Neural coding; Computer science; Coding (social sciences); Spike (software development); Information theory; Salient; Spike train; Bivariate analysis; Information transmission; Pattern recognition (psychology); Artificial intelligence; Statistics; Mathematics; Machine learning","score_opus":0.026550892076872896,"score_gpt":0.26703236302107586,"score_spread":0.24048147094420297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3192638087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97290576,0.00004192567,0.00007434155,0.0011480809,0.016963836,0.00017924781,0.000009885992,0.00015389765,0.008523024],"genre_scores_gemma":[0.9681054,0.000010831493,0.00004467205,0.00060058996,0.00009231003,0.000012633309,0.000050368148,0.000018153572,0.031065064],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9972979,0.0001709914,0.00040250225,0.0012001828,0.00053324446,0.00039522204],"domain_scores_gemma":[0.9984648,0.00014933974,0.0002207698,0.000845853,0.00016017137,0.00015903004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000697609,0.00016611714,0.00019233061,0.0000953191,0.0006487628,0.00084028166,0.00015461592,0.000051490406,0.00034342075],"category_scores_gemma":[0.0018515607,0.00014344828,0.00012753531,0.0008288573,0.00034435475,0.00036128465,0.00014205521,0.00015063124,0.0001268245],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000943545,0.000065015454,0.0007543451,0.000011024296,0.0000024241688,0.0033955723,0.00004612385,0.00020049945,0.988304,0.0014892136,0.0047894437,0.00093289075],"study_design_scores_gemma":[0.00014921115,0.00003867362,0.0015635149,0.000022005906,0.0000150537,0.0016728472,0.00005512842,0.0059249457,0.8975778,0.02095779,0.07174216,0.0002808478],"about_ca_topic_score_codex":0.000016966109,"about_ca_topic_score_gemma":0.00003101535,"teacher_disagreement_score":0.09072619,"about_ca_system_score_codex":0.000035929046,"about_ca_system_score_gemma":0.00015809305,"threshold_uncertainty_score":0.81028557},"labels":[],"label_agreement":null},{"id":"W3193223506","doi":"10.1016/j.neuroimage.2021.118457","title":"Sensitivity of amplitude and phase based MEG measures of interhemispheric connectivity during unilateral finger movements","year":2021,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Tax Foundation; Ontario Brain Institute","keywords":"Amplitude; Sensitivity (control systems); Metric (unit); Neuroscience; Functional connectivity; Phase (matter); Electroencephalography; SIGNAL (programming language); Computer science; Physics; Mathematics; Psychology","score_opus":0.039884158890824285,"score_gpt":0.27319735024427616,"score_spread":0.23331319135345188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193223506","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99819916,0.000006991873,0.0011539028,0.0000937684,0.00014683403,0.00009638549,0.00004380508,0.000024712594,0.00023446263],"genre_scores_gemma":[0.9994727,0.000008725088,0.00006949253,0.00031350052,0.00001170663,0.000002093293,0.0000023786515,0.000013265103,0.00010617399],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987765,0.00027551764,0.00020267264,0.00037249303,0.00021694103,0.00015587057],"domain_scores_gemma":[0.9992161,0.00030412187,0.00012845027,0.00022888213,0.00007269785,0.000049776212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016384196,0.00012031056,0.00021150426,0.000037677477,0.000059637212,0.000026790707,0.00005281266,0.000029415402,0.00002537019],"category_scores_gemma":[0.00071203505,0.000118880904,0.000062718944,0.0001934662,0.00010537006,0.00013734329,0.000100482335,0.00012008783,5.9662784e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010731108,0.00024724,0.0035349529,0.00008938458,0.0000038633457,0.00012868976,0.00003541217,0.000087255554,0.994273,0.000038133003,0.000005037881,0.001449731],"study_design_scores_gemma":[0.00095918326,0.00008823714,0.056628022,0.000027805638,0.0000082971565,0.000026040543,0.00000628587,0.011086667,0.9309967,0.000051188166,0.00003340357,0.0000881533],"about_ca_topic_score_codex":0.00003013933,"about_ca_topic_score_gemma":0.00001563146,"teacher_disagreement_score":0.063276276,"about_ca_system_score_codex":0.000013443585,"about_ca_system_score_gemma":0.000024167088,"threshold_uncertainty_score":0.48478228},"labels":[],"label_agreement":null},{"id":"W3193752863","doi":"10.1038/s42003-021-02483-6","title":"The brain and its time: intrinsic neural timescales are key for input processing","year":2021,"lang":"en","type":"review","venue":"Communications Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":191,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Ottawa","funders":"Economic and Social Research Council; Canadian Institutes of Health Research; European Commission; Natural Sciences and Engineering Research Council of Canada; Wellcome Trust","keywords":"Computer science; Key (lock); Context (archaeology); Encoding (memory); Cognitive science; Artificial intelligence; Psychology; Biology","score_opus":0.12504738703153673,"score_gpt":0.3783076850140533,"score_spread":0.2532602979825166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193752863","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000030664076,0.9935904,0.000028416538,0.005043283,0.00015260593,0.00074496516,0.000110548775,0.000051868705,0.00024725494],"genre_scores_gemma":[0.0004240014,0.99711204,0.00009735788,0.0005223048,0.000066818946,0.00033101058,0.00024449753,0.000029117055,0.0011728816],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99811536,0.0008393936,0.00037965208,0.00039236338,0.000043489854,0.00022971162],"domain_scores_gemma":[0.9944551,0.0040321467,0.00038207375,0.0009953167,0.00009131035,0.00004404704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002783083,0.0002195597,0.0005831899,0.0000789995,0.0010116532,0.00013200074,0.0010904802,0.00020557137,0.000004499923],"category_scores_gemma":[0.0018754045,0.00014383686,0.00015107874,0.0003369114,0.00037601538,0.00006262369,0.0008324955,0.00040856912,0.000021581434],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017197098,0.000019127436,9.4836736e-7,0.00041438657,0.00000777292,3.7413315e-7,0.000010675125,1.1546997e-7,0.0001584231,0.0063638347,0.00066324027,0.9923594],"study_design_scores_gemma":[0.00006693683,0.00003768961,0.000002764402,0.00061387086,0.0000644852,0.000065742184,0.0000055967676,0.0031217982,0.000008925712,0.00043733953,0.99541795,0.00015688885],"about_ca_topic_score_codex":7.211097e-7,"about_ca_topic_score_gemma":0.000010598666,"teacher_disagreement_score":0.99475473,"about_ca_system_score_codex":0.00003472105,"about_ca_system_score_gemma":0.00011310519,"threshold_uncertainty_score":0.7780921},"labels":[],"label_agreement":null},{"id":"W3194134573","doi":"10.1101/2021.08.17.456520","title":"Learning to be on time: temporal coordination of neural dynamics by activity-dependent myelination","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; University of Toronto; Hospital for Sick Children; University of Ottawa","funders":"","keywords":"Neuroscience; Homeostatic plasticity; Mechanism (biology); Neuroplasticity; Synaptic plasticity; Neural activity; Synchronization (alternating current); Myelin; Metaplasticity; Axon; Physics; Biology; Computer science; Central nervous system; Receptor","score_opus":0.01561042434087806,"score_gpt":0.23050899490537974,"score_spread":0.21489857056450168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3194134573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938501,0.00001670309,0.0019105878,0.0016776697,0.0012545123,0.00072035845,0.00029102687,0.0002579246,0.00002108313],"genre_scores_gemma":[0.9988323,0.000024998599,0.0002095458,0.0004851525,0.00012522309,0.0000795945,0.0000044038707,0.00010952185,0.00012926113],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99656874,0.00043484115,0.0004889069,0.0012659852,0.00081896223,0.0004225678],"domain_scores_gemma":[0.997841,0.0002101115,0.00063841895,0.0006928784,0.0004175977,0.00020001398],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00050993345,0.00048681712,0.00052016036,0.0003745847,0.0002262424,0.0002858491,0.00043956356,0.00039863837,0.0000413846],"category_scores_gemma":[0.0011849168,0.0005536697,0.0001618964,0.00070721854,0.00007008909,0.00028478613,0.0004783458,0.0010639401,0.000026064154],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007206346,0.00025179307,0.000546513,0.0001181779,0.000016457563,0.000023448658,0.000012333009,0.003838514,0.99469143,0.00020627264,0.0001725231,0.00005049409],"study_design_scores_gemma":[0.00037453865,0.00035676057,0.0065333387,0.00016150878,0.00004046604,3.8708574e-8,0.000006442052,0.1658762,0.8257191,0.0000012846792,0.00032247746,0.000607849],"about_ca_topic_score_codex":0.00006049033,"about_ca_topic_score_gemma":0.0000066270854,"teacher_disagreement_score":0.1689723,"about_ca_system_score_codex":0.0005602859,"about_ca_system_score_gemma":0.00020069507,"threshold_uncertainty_score":0.9996915},"labels":[],"label_agreement":null},{"id":"W3194814824","doi":"10.3389/fncom.2021.678688","title":"Model Reduction Captures Stochastic Gamma Oscillations on Low-Dimensional Manifolds","year":2021,"lang":"en","type":"article","venue":"Frontiers in Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China; State Key Laboratory of Cognitive Neuroscience and Learning; York University","keywords":"Statistical physics; Dimensionality reduction; Computer science; Visual cortex; Physics; Artificial intelligence; Neuroscience","score_opus":0.030745914564574185,"score_gpt":0.2568477329237681,"score_spread":0.22610181835919393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3194814824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68153846,0.000024267198,0.30867025,0.002780378,0.0058341417,0.00030222526,0.00007454104,0.000117238,0.00065849855],"genre_scores_gemma":[0.99062437,0.000005021001,0.005526047,0.0029173626,0.00007642372,0.000015884343,0.000019456127,0.00001847411,0.0007969356],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975373,0.00012956458,0.00030725848,0.0008976952,0.0007936952,0.00033446914],"domain_scores_gemma":[0.9992957,0.000172994,0.00010867774,0.00021072017,0.00010050876,0.00011137977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001317543,0.00019044282,0.00016694554,0.0002987475,0.00038018436,0.00011934833,0.00022769033,0.000062367384,0.000010642739],"category_scores_gemma":[0.0005654549,0.00019720531,0.00007309627,0.0009900352,0.00021892016,0.00033192325,0.000086915476,0.00027634337,0.000014242248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003116378,0.00012342773,0.0000515079,0.000004630138,5.22534e-7,0.000039296545,0.00003183457,0.90688807,0.080887675,0.009836749,0.0016978894,0.00040725697],"study_design_scores_gemma":[0.0002944863,0.00005342508,0.0032258078,0.000024971378,0.0000030768388,0.00012798517,0.000016498003,0.95533234,0.0025005017,0.03817146,0.00005894774,0.00019048547],"about_ca_topic_score_codex":0.0000025495444,"about_ca_topic_score_gemma":0.0000016790017,"teacher_disagreement_score":0.30908597,"about_ca_system_score_codex":0.00012660504,"about_ca_system_score_gemma":0.00023950495,"threshold_uncertainty_score":0.8041799},"labels":[],"label_agreement":null},{"id":"W3195015394","doi":"10.3389/fnagi.2021.625081","title":"Evaluation of the Brain Function State During Mild Cognitive Impairment Based on Weighted Multiple Multiscale Entropy","year":2021,"lang":"en","type":"article","venue":"Frontiers in Aging Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Science Foundation of Hebei Province; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Montreal Cognitive Assessment; Cognition; Cognitive impairment; Audiology; Correlation; Electroencephalography; Entropy (arrow of time); Medicine; Psychology; Neuroscience; Mathematics","score_opus":0.023856778248106194,"score_gpt":0.2577694726659193,"score_spread":0.23391269441781312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195015394","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9873937,0.000018058532,0.0074544544,0.0007986644,0.003588547,0.00058702176,0.000035700617,0.000038193495,0.00008570321],"genre_scores_gemma":[0.99775845,0.0000098953,0.00014175478,0.001745219,0.000022049768,0.000038947564,0.0000029375112,0.000015923055,0.00026484672],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99641573,0.0008999842,0.00029684763,0.00073545583,0.0013004723,0.00035148094],"domain_scores_gemma":[0.9989996,0.0002663725,0.00019733941,0.00032322237,0.0001518517,0.00006162243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079001405,0.00017040309,0.00016062068,0.00019741409,0.00034689312,0.00006521689,0.00024753073,0.0000352495,0.000010565377],"category_scores_gemma":[0.0022632817,0.00013898911,0.00009111579,0.0012155523,0.00022276233,0.00022696858,0.00010121462,0.00025906213,0.0000018293895],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017132789,0.0003212596,0.047522403,0.00002440373,0.0000016700576,0.000016254122,0.00020678114,0.033813823,0.9125225,0.000017156137,0.00017582375,0.005206623],"study_design_scores_gemma":[0.0012233377,0.00006437755,0.19420879,0.00007888976,0.000012250291,0.0000028986585,0.000048998398,0.51522666,0.28880644,0.00021240891,0.000025623936,0.00008930893],"about_ca_topic_score_codex":0.000014104441,"about_ca_topic_score_gemma":0.000021337508,"teacher_disagreement_score":0.62371606,"about_ca_system_score_codex":0.00020443433,"about_ca_system_score_gemma":0.00016273343,"threshold_uncertainty_score":0.5667811},"labels":[],"label_agreement":null},{"id":"W3195165979","doi":"10.51628/001c.67879","title":"A roadmap to reverse engineering real-world generalization by combining naturalistic paradigms, deep sampling, and predictive computational models","year":2023,"lang":"en","type":"article","venue":"Neurons Behavior Data analysis and Theory","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; McGill University","funders":"National Institutes of Health; National Institute of Biomedical Imaging and Bioengineering; Courtois Foundation; Fondation Brain Canada; Institut de Valorisation des Données; National Institute of Mental Health; Canadian Open Neuroscience Platform; Health Canada; Canada First Research Excellence Fund; McGill University","keywords":"Generalization; Computer science; Artificial intelligence; Inference; Naturalism; Machine learning; Stability (learning theory); Cognitive science; Computational model; Naturalistic observation; Statistical inference; Psychology; Epistemology; Mathematics; Social psychology","score_opus":0.053546614335888705,"score_gpt":0.3041557278001295,"score_spread":0.2506091134642408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195165979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84079576,0.000026489253,0.15678714,0.00016818408,0.00015888004,0.00027163513,0.0016089493,0.00014645273,0.000036494184],"genre_scores_gemma":[0.99638516,0.00014972744,0.000429881,0.00039924038,0.000022987582,0.000027923827,0.0024023058,0.000022772338,0.0001600266],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99843943,0.00016016474,0.00023662219,0.00071159826,0.00023693524,0.00021523057],"domain_scores_gemma":[0.9989412,0.00042968098,0.000080798774,0.0003821803,0.000028477627,0.00013768802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033204228,0.00016729221,0.00022052025,0.00047749112,0.00024063315,0.00014801837,0.00021411899,0.000038528364,0.0000130422095],"category_scores_gemma":[0.00019447888,0.0001627686,0.00004168868,0.0014066363,0.00005487438,0.0003593311,0.00028619473,0.00014349793,0.0000031711306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011971994,0.00015731779,0.011455442,0.000035463578,0.00015582316,0.00006646803,0.0004207303,0.8125892,0.083275944,0.08396341,0.0011598022,0.006600649],"study_design_scores_gemma":[0.00015509005,0.000038444854,0.030791646,0.000007814477,0.00052939955,0.0000058843557,0.000016173259,0.9664555,0.000115977346,0.001463709,0.0002489709,0.00017134375],"about_ca_topic_score_codex":0.0001242563,"about_ca_topic_score_gemma":0.00007547083,"teacher_disagreement_score":0.15635726,"about_ca_system_score_codex":0.000020425136,"about_ca_system_score_gemma":0.000009524557,"threshold_uncertainty_score":0.66375107},"labels":[],"label_agreement":null},{"id":"W3195176773","doi":"10.3390/e23091105","title":"Memory and Markov Blankets","year":2021,"lang":"en","type":"article","venue":"Entropy","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Office of Naval Research; Engineering and Physical Sciences Research Council; Fonds National de la Recherche Luxembourg; Rosetrees Trust; Social Sciences and Humanities Research Council of Canada; Wellcome Trust; Wellcome","keywords":"Markov blanket; Blanket; Markov chain; Independence (probability theory); Computer science; Statistical physics; Set (abstract data type); Conditional independence; Argument (complex analysis); State (computer science); Simple (philosophy); Markov model; Mathematics; Markov property; Artificial intelligence; Algorithm; Epistemology; Statistics; Physics; Machine learning","score_opus":0.014461149519107784,"score_gpt":0.23075108125279437,"score_spread":0.21628993173368657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195176773","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898597,0.000057849877,0.00012612138,0.0015075627,0.00049646007,0.00004004943,0.000004365923,0.000036834263,0.00787103],"genre_scores_gemma":[0.9925677,0.000074077776,0.000098920544,0.0017364258,0.00007544619,0.0000018720573,0.0000015992495,0.000005606388,0.005438345],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99953294,0.000041320793,0.00005248056,0.00018587851,0.0000860108,0.00010134434],"domain_scores_gemma":[0.99977475,0.00006460731,0.000015717575,0.00009702468,0.000008925217,0.00003897297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000027740729,0.000045284545,0.000049182403,0.000014250871,0.000060335948,0.000037443515,0.000033417393,0.00001712046,0.00021894724],"category_scores_gemma":[0.00015204134,0.00003985232,0.000017923696,0.00007228988,0.000025872867,0.000051375173,0.00004238156,0.00005393769,0.00004774306],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000088294655,0.000017522907,0.0002481969,0.0000049036707,0.0000010047897,0.000114229944,0.000021543548,0.0000023704201,0.9816215,0.0074471817,0.001491797,0.009020942],"study_design_scores_gemma":[0.00058523926,0.000058888043,0.010495675,0.0000099694125,0.000008663534,0.00023620912,0.00003649773,0.0046930555,0.9482835,0.0045020045,0.030912949,0.00017736391],"about_ca_topic_score_codex":0.0000017645938,"about_ca_topic_score_gemma":0.0000015875095,"teacher_disagreement_score":0.033337995,"about_ca_system_score_codex":0.000007614536,"about_ca_system_score_gemma":0.000009946166,"threshold_uncertainty_score":0.23973188},"labels":[],"label_agreement":null},{"id":"W3195431345","doi":"10.1093/cercor/bhab269","title":"Optogenetic Activation of Interneuron Subtypes Modulates Visual Contrast Responses of Mouse V1 Neurons","year":2021,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Optogenetics; Photostimulation; Interneuron; Neuroscience; Parvalbumin; Biology; Channelrhodopsin; Vasoactive intestinal peptide; Visual cortex; Excitatory postsynaptic potential; Cortex (anatomy); Neuropeptide; Inhibitory postsynaptic potential","score_opus":0.0240715672203096,"score_gpt":0.2694459692549166,"score_spread":0.245374402034607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195431345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99888706,0.000014606124,0.00020785478,0.00016212768,0.00027246686,0.00013274378,0.000037132395,0.000033427197,0.00025256124],"genre_scores_gemma":[0.9980268,0.000023272722,0.000031446893,0.00025387082,0.00002838141,0.0000035654868,0.000012479557,0.000021517937,0.0015986566],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987489,0.00018336688,0.00031234018,0.00035733677,0.00022264617,0.00017540592],"domain_scores_gemma":[0.99913293,0.00029648267,0.00019078275,0.0002249052,0.00010281888,0.000052053965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000054430784,0.00013169654,0.00021061276,0.00009425367,0.00004965173,0.000029288467,0.00013896608,0.000053363292,0.000112015005],"category_scores_gemma":[0.00062027056,0.00012544445,0.000090652306,0.00027175795,0.000118057265,0.00014451321,0.00009127586,0.000117625794,0.000008102008],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024506336,0.00012296956,0.004562116,0.000029486839,0.0000053934687,0.000007937531,0.00003299745,0.000143352,0.9917562,0.0012471223,0.000031421256,0.0018159164],"study_design_scores_gemma":[0.00030366087,0.0003075972,0.085464925,0.00002130961,0.000011786858,0.000016294143,0.000027498967,0.0078052636,0.9057166,0.00016516795,0.000060964103,0.00009890402],"about_ca_topic_score_codex":0.000022458542,"about_ca_topic_score_gemma":0.000008210839,"teacher_disagreement_score":0.086039595,"about_ca_system_score_codex":0.00001600595,"about_ca_system_score_gemma":0.000057758916,"threshold_uncertainty_score":0.5115476},"labels":[],"label_agreement":null},{"id":"W3195477922","doi":"10.1027/0269-8803/a000285","title":"Insular Cortex Response to Static Visual Sexual Stimuli","year":2021,"lang":"en","type":"article","venue":"Journal of Psychophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Insula; Psychology; Emotional valence; Electroencephalography; Insular cortex; Audiology; Neuroscience; Salient; Cognitive psychology; Developmental psychology; Cognition; Medicine; Artificial intelligence","score_opus":0.029897713756178498,"score_gpt":0.3366954871492023,"score_spread":0.3067977733930238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195477922","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940879,0.000016995735,0.0008781013,0.002916163,0.0019647283,0.00006150393,0.000008595559,0.000010037741,0.00005599298],"genre_scores_gemma":[0.9918971,0.000022780381,0.00038575614,0.0067522633,0.00025625178,0.0000014577283,0.0000011525794,0.000014374603,0.0006688551],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984141,0.0004974917,0.00038969095,0.00025010025,0.00023191137,0.00021670625],"domain_scores_gemma":[0.9987737,0.0005259755,0.00022507407,0.0001643353,0.00015794754,0.00015299738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002314887,0.00011214563,0.00025304558,0.00014861839,0.00007187704,0.000027785909,0.00016907658,0.000058779486,0.00012445063],"category_scores_gemma":[0.0012198488,0.00009333313,0.00007885773,0.00037849235,0.000052266503,0.00011131313,0.000049458195,0.00026739095,0.00008698209],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025177724,0.00024669248,0.000022719943,0.0000060815787,0.000009713491,0.00040163664,0.0000867276,0.0005043306,0.99102503,0.0000683719,0.0019845883,0.0031263137],"study_design_scores_gemma":[0.010234771,0.04466796,0.23682685,0.0001586397,0.0001387749,0.0053710416,0.0011869514,0.013159617,0.596365,0.02081512,0.06966604,0.0014092798],"about_ca_topic_score_codex":0.0000013377523,"about_ca_topic_score_gemma":0.0000010290835,"teacher_disagreement_score":0.39466012,"about_ca_system_score_codex":0.00003719842,"about_ca_system_score_gemma":0.00012260646,"threshold_uncertainty_score":0.38060147},"labels":[],"label_agreement":null},{"id":"W3195479957","doi":"10.1088/2632-072x/ac2071","title":"Brain criticality beyond avalanches: open problems and how to approach them","year":2021,"lang":"en","type":"article","venue":"Journal of Physics Complexity","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Argument (complex analysis); Perspective (graphical); Criticality; Neuroscience; Cognitive science; Mechanism (biology); Psychology; Cognitive psychology; Computer science; Epistemology; Artificial intelligence; Physics; Philosophy; Medicine","score_opus":0.17815000996479927,"score_gpt":0.3133479483048721,"score_spread":0.13519793834007285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195479957","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90961397,0.000019191219,0.04547481,0.034068245,0.00044245712,0.000385688,0.00006182094,0.000019825531,0.009914023],"genre_scores_gemma":[0.98953307,0.0000072890734,0.0059941104,0.0038577055,0.00024135479,0.000003056529,0.0000026508078,0.000012714661,0.00034804427],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987514,0.00024082298,0.0002093789,0.00027501208,0.000326137,0.00019726521],"domain_scores_gemma":[0.9989846,0.00028161527,0.00015799167,0.00020717467,0.00019186118,0.00017675683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004504311,0.000121339224,0.00029346367,0.000020111527,0.00015904751,0.00041530697,0.00034787488,0.000030547126,0.000018857185],"category_scores_gemma":[0.000584757,0.000099495155,0.00008355375,0.00027413343,0.0001256312,0.00043208306,0.00036251242,0.00028458887,0.0000043358887],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007194022,0.00066503626,0.0006099918,0.000120280194,0.000021403488,0.000046648718,0.0005510956,0.00011088616,0.6431938,0.34261417,0.0046263137,0.007368427],"study_design_scores_gemma":[0.0013404834,0.0004104501,0.009164507,0.000086681284,0.000038152466,0.0006830908,0.000304046,0.010345075,0.10192009,0.8657839,0.009488851,0.00043469007],"about_ca_topic_score_codex":0.00000465568,"about_ca_topic_score_gemma":0.0000031421807,"teacher_disagreement_score":0.5412737,"about_ca_system_score_codex":0.000035554247,"about_ca_system_score_gemma":0.000061422375,"threshold_uncertainty_score":0.40572947},"labels":[],"label_agreement":null},{"id":"W3195737216","doi":"10.3389/fnint.2021.744147","title":"Editorial: Advances in Understanding of the Functions of the Paraventricular Thalamic Nucleus","year":2021,"lang":"en","type":"editorial","venue":"Frontiers in Integrative Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"National Institute of Mental Health; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Neuroscience; Nucleus; Psychology","score_opus":0.01615897798693837,"score_gpt":0.25567519772624264,"score_spread":0.23951621973930426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195737216","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021197079,0.00021970712,0.003208437,0.00014655254,0.9930543,0.00052983593,0.00024730866,0.000015468702,0.00045868862],"genre_scores_gemma":[0.43735254,0.003503872,0.00011091493,0.00023871174,0.556885,0.00012332853,0.000015026344,0.00009833642,0.0016722453],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9956949,0.0007986625,0.0006638853,0.00088223896,0.0015656011,0.00039471898],"domain_scores_gemma":[0.9974192,0.00095253787,0.0007789462,0.0006542628,0.00015592377,0.00003913887],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00044858546,0.0003440422,0.0005585779,0.00029512518,0.00024693971,0.00006555668,0.0014839661,0.00031982872,0.000003313941],"category_scores_gemma":[0.010388306,0.00019846032,0.00029309184,0.0032340176,0.0014434691,0.0003819271,0.00037268412,0.0016352871,3.3905118e-7],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005914339,0.00015641919,0.0020124395,0.00006851397,0.0000023173668,0.000008203924,0.00027699798,0.0015662406,0.039898112,0.0014354425,0.9543783,0.00013783891],"study_design_scores_gemma":[0.0012750186,0.00037785986,0.0014727039,0.0019705505,0.000061395054,0.0000071524796,0.0025867983,0.009016434,0.033069897,0.013902344,0.9355155,0.00074432045],"about_ca_topic_score_codex":0.000059978876,"about_ca_topic_score_gemma":0.00020652036,"teacher_disagreement_score":0.43616927,"about_ca_system_score_codex":0.0005397259,"about_ca_system_score_gemma":0.0005651784,"threshold_uncertainty_score":0.99794763},"labels":[],"label_agreement":null},{"id":"W3196221310","doi":"10.1098/rstb.2020.0333","title":"Cross-frequency coupling explains the preference for simple ratios in rhythmic behaviour and the relative stability across non-synchronous patterns","year":2021,"lang":"en","type":"article","venue":"Philosophical Transactions of the Royal Society B Biological Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; Toronto Public Health; McMaster University","funders":"","keywords":"Rhythm; Attractor; Interval (graph theory); Computer science; Synchronization (alternating current); Phase (matter); Communication; Mathematics; Psychology; Physics; Channel (broadcasting)","score_opus":0.10209169656917166,"score_gpt":0.31798209801732724,"score_spread":0.21589040144815558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196221310","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96459496,0.000046481637,0.021855542,0.012344622,0.00017820398,0.0007212165,0.00020124883,0.000018011428,0.00003970482],"genre_scores_gemma":[0.99904186,0.000103091596,0.00016091552,0.0004688138,0.000050513816,0.000153806,0.0000021198523,0.0000044273297,0.000014477679],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99813455,0.00025488163,0.00038797912,0.00058720517,0.00028797134,0.00034742017],"domain_scores_gemma":[0.99681395,0.002637027,0.00014733121,0.00027355074,0.00007946548,0.000048675214],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0013163913,0.00016043616,0.0002335547,0.0000064115807,0.0018391816,0.00012319844,0.0005363301,0.0001363477,0.000052971387],"category_scores_gemma":[0.000747055,0.00006832997,0.0003370841,0.0004519917,0.0034899185,0.0001620842,0.00009311305,0.00049060705,5.341812e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009259583,0.0020697387,0.6531773,0.0002423305,0.000110847635,0.000007763973,0.010477683,0.056892384,0.13628297,0.13490655,0.000009228055,0.004897244],"study_design_scores_gemma":[0.0023185152,0.0006399064,0.29306632,0.00006462216,0.000049492854,0.000020035446,0.0012553562,0.2776981,0.029928409,0.39451724,0.000011062143,0.00043096562],"about_ca_topic_score_codex":0.0001357963,"about_ca_topic_score_gemma":0.000088986504,"teacher_disagreement_score":0.360111,"about_ca_system_score_codex":0.000052214735,"about_ca_system_score_gemma":0.00006722386,"threshold_uncertainty_score":0.9994603},"labels":[],"label_agreement":null},{"id":"W3197151503","doi":"10.1167/jov.21.9.2415","title":"Spontaneous traveling waves are an intrinsic feature of ongoing cortical dynamics and regulate perceptual sensitivity","year":2021,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Perception; Sensitivity (control systems); Dynamics (music); Traveling wave; Feature (linguistics); Psychology; Neuroscience; Communication; Physics; Acoustics; Mathematics; Philosophy; Mathematical analysis; Engineering; Linguistics; Electronic engineering","score_opus":0.014947721885209115,"score_gpt":0.2610317522767102,"score_spread":0.2460840303915011,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197151503","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99817747,0.000033020762,0.0007204271,0.0006727347,0.0003136881,0.00003601453,0.000008624826,0.000006783462,0.000031252534],"genre_scores_gemma":[0.9988981,0.00012639842,0.00060730014,0.00015669155,0.000108179425,4.3246065e-8,0.000001657887,0.000010859649,0.00009080464],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988338,0.00024977184,0.0002799271,0.00018716807,0.00031865493,0.00013068716],"domain_scores_gemma":[0.9990347,0.00030280364,0.00027686494,0.00011363658,0.00016556168,0.000106415726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003335044,0.000098901815,0.00024595787,0.000066492874,0.0001098751,0.00005949311,0.00004990119,0.000081378814,0.000008448721],"category_scores_gemma":[0.00067463325,0.00007939659,0.00007883156,0.00014426066,0.000075242984,0.0002404408,0.00005203105,0.0003927592,4.6742196e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020544819,0.00009887972,0.00027819423,0.000023117256,0.0000040625637,0.0047736736,0.00019182789,0.00036030848,0.9678692,0.00033307166,0.000012647127,0.025849536],"study_design_scores_gemma":[0.0009813848,0.0015529284,0.44944087,0.00053965044,0.000075975375,0.07414886,0.0014744945,0.40827864,0.06260462,0.00057561893,0.000046565357,0.0002803933],"about_ca_topic_score_codex":0.0000019807746,"about_ca_topic_score_gemma":0.00005336376,"teacher_disagreement_score":0.9052646,"about_ca_system_score_codex":0.00005031417,"about_ca_system_score_gemma":0.000040017003,"threshold_uncertainty_score":0.3237699},"labels":[],"label_agreement":null},{"id":"W3197154323","doi":"10.1016/j.neuroimage.2021.118546","title":"Multiscale communication in cortico-cortical networks","year":2021,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Fonds de recherche du Québec – Nature et technologies; Canada First Research Excellence Fund; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; McGill University","keywords":"Connectome; Functional connectivity; Neuroscience; Scale (ratio); Function (biology); Biological neural network; Brain function; Computer science; Psychology; Biology; Geography; Cartography","score_opus":0.03004522441062384,"score_gpt":0.2716767792749137,"score_spread":0.24163155486428983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197154323","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906673,0.000042337564,0.0014358527,0.001307151,0.000362481,0.00012850213,0.000003881965,0.00007976825,0.005972726],"genre_scores_gemma":[0.996418,0.00014434614,0.00016969041,0.0024047426,0.00003008396,0.000009796112,0.000008242529,0.000016181057,0.00079894223],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987477,0.00031449835,0.00021716989,0.00034551538,0.00014782746,0.00022725784],"domain_scores_gemma":[0.9989122,0.00053060945,0.000044731947,0.00042873833,0.0000246409,0.000059086942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000089136935,0.000090871516,0.00011356292,0.00003778417,0.000109388915,0.00007374859,0.00015808747,0.0000473202,0.00007714164],"category_scores_gemma":[0.0010494513,0.00009254641,0.0000443986,0.00035437054,0.00007972703,0.00015827577,0.00013785556,0.00039385696,0.00004254905],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000295207,0.00023577981,0.005674964,0.000007160283,7.376622e-7,0.00046223242,0.00004130822,0.0011239633,0.9813639,0.0036120538,0.00057269935,0.0068756687],"study_design_scores_gemma":[0.00094368926,0.00007693156,0.2658805,0.00002969761,0.000009033343,0.00019515067,0.000023677583,0.65143436,0.075768,0.0011590461,0.0041973973,0.0002825358],"about_ca_topic_score_codex":0.000011008011,"about_ca_topic_score_gemma":0.000058544836,"teacher_disagreement_score":0.9055959,"about_ca_system_score_codex":0.000021629641,"about_ca_system_score_gemma":0.000017248776,"threshold_uncertainty_score":0.3773933},"labels":[],"label_agreement":null},{"id":"W3197155610","doi":"10.1167/jov.21.9.2868","title":"Using classification-based decoding to analyze the Spatiotopic and Retinotopic memory representations in primates","year":2021,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Western University","funders":"","keywords":"Computer science; Decoding methods; Encoding (memory); Neuroscience; Artificial intelligence; Stimulus (psychology); Macaque; Pattern recognition (psychology); Computer vision; Psychology; Algorithm; Cognitive psychology","score_opus":0.06886185404300794,"score_gpt":0.3632021541579648,"score_spread":0.2943403001149569,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197155610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929838,0.000028791826,0.0019466,0.0046332777,0.00018479975,0.00007181157,6.748764e-7,0.0000028067361,0.00014742272],"genre_scores_gemma":[0.9978545,0.000022531047,0.0014411822,0.00058887585,0.00004654966,8.0778267e-7,3.2535834e-7,0.0000037016548,0.000041576586],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99928135,0.00012257647,0.00024535047,0.00011498526,0.00016712,0.000068616275],"domain_scores_gemma":[0.9992824,0.00034787625,0.00015187863,0.000106527645,0.000076819895,0.000034479126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024004375,0.000042526717,0.00007896066,0.00011256508,0.000108206375,0.00007378101,0.000068132955,0.000019511886,0.000016033098],"category_scores_gemma":[0.00085008604,0.000029570443,0.000031011514,0.00032338483,0.000020645834,0.00009152489,0.000025064232,0.00010944314,8.7186146e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001411087,0.000028731578,0.014711197,0.000007855887,9.632587e-7,0.00002286473,0.00008743048,0.0043005235,0.9755289,0.00029262307,0.000031392643,0.004973409],"study_design_scores_gemma":[0.00041265087,0.000084311185,0.58691037,0.00012639821,0.000014786163,0.00008256843,0.00021748347,0.29601336,0.115060896,0.0008467348,0.00015503522,0.00007540149],"about_ca_topic_score_codex":0.0000079521105,"about_ca_topic_score_gemma":0.000016755313,"teacher_disagreement_score":0.86046803,"about_ca_system_score_codex":0.00004213126,"about_ca_system_score_gemma":0.000053427942,"threshold_uncertainty_score":0.12058477},"labels":[],"label_agreement":null},{"id":"W3197433739","doi":"10.1073/pnas.2110980118","title":"Interspecies activation correlations reveal functional correspondences between marmoset and human brain areas","year":2021,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research; Canada First Research Excellence Fund; Government of Canada","keywords":"Marmoset; Human brain; Evolutionary biology; Neuroscience; Biology; Psychology; Paleontology","score_opus":0.08472053808863873,"score_gpt":0.31575902084936863,"score_spread":0.2310384827607299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197433739","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98394305,0.0000116854235,0.000011133002,0.011824793,0.000053156517,0.00010475197,0.00003110735,0.000013465933,0.00400687],"genre_scores_gemma":[0.9973028,0.00000568427,0.00013347052,0.00067145424,0.000107439075,0.0000050716485,0.0000010085,0.0000033819522,0.0017697292],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983117,0.00002339212,0.00028419643,0.00032334717,0.0009399343,0.0001174519],"domain_scores_gemma":[0.9986716,0.0006948409,0.00036141995,0.000008899245,0.0002303297,0.00003293358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063055556,0.00008892823,0.0001232224,0.00015483412,0.00048547232,0.00006470296,0.00028979845,0.0000647777,0.000037322603],"category_scores_gemma":[0.0022412909,0.000065466054,0.000055669392,0.0008895424,0.0008389505,0.00066163443,0.00016343733,0.00018681555,0.0000010813329],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009924941,0.000021096641,0.020754613,0.000015513991,0.0000036473373,8.978394e-9,0.000066456414,0.000033984834,0.8492377,0.12773347,0.0018983223,0.00022527126],"study_design_scores_gemma":[0.00013600913,0.000045348308,0.54143906,0.00007190803,0.000007814022,0.000016892553,0.000194682,0.00049413793,0.37905556,0.07813162,0.0003294155,0.00007754373],"about_ca_topic_score_codex":0.0000037053383,"about_ca_topic_score_gemma":1.5919937e-7,"teacher_disagreement_score":0.5206845,"about_ca_system_score_codex":0.000034640078,"about_ca_system_score_gemma":0.00003719011,"threshold_uncertainty_score":0.37339097},"labels":[],"label_agreement":null},{"id":"W3198276260","doi":"10.1101/2021.09.01.458601","title":"Neural Excursions from Low-Dimensional Manifold Structure Explain Intersubject Variation in Human Motor Learning","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Psychology; Neuroimaging; Cognition; Motor learning; Embodied cognition; Nonlinear dimensionality reduction; Artificial neural network; Cognitive psychology; Neuroscience; Neural adaptation; Artificial intelligence; Adaptation (eye); Computer science; Dimensionality reduction","score_opus":0.014563349154083501,"score_gpt":0.21877571512518482,"score_spread":0.20421236597110132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198276260","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99521714,0.000085669824,0.00021339221,0.00017321462,0.003013547,0.00057644135,0.00033126265,0.00038510363,0.0000042135453],"genre_scores_gemma":[0.9981855,0.000020305803,0.00063700613,0.00047323797,0.00046807795,0.000073203046,0.0000056166505,0.00012470866,0.0000123204145],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9957964,0.0006077769,0.0006649857,0.0017450125,0.00060244935,0.0005833684],"domain_scores_gemma":[0.9980077,0.0002704674,0.0004998753,0.0008418929,0.00017101046,0.00020903206],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028088185,0.0006202807,0.0005668712,0.00043352653,0.00036324593,0.00047750358,0.0005630681,0.0005604272,0.0002571551],"category_scores_gemma":[0.0007055034,0.0006784592,0.00020248517,0.0005983362,0.00007040163,0.00037012092,0.0007792427,0.0020259372,0.000015326044],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004533263,0.00011104131,0.0017833923,0.00006959017,0.00001967431,0.00023152873,0.000031738076,0.0024277307,0.99492365,0.0003272946,0.000027299542,0.0000017196135],"study_design_scores_gemma":[0.0011806577,0.00018371778,0.308978,0.00089246844,0.00008272367,1.5700539e-7,0.000014316511,0.097476296,0.58959883,0.000032331438,0.00012732731,0.0014332049],"about_ca_topic_score_codex":0.00030152645,"about_ca_topic_score_gemma":0.000042433465,"teacher_disagreement_score":0.40532485,"about_ca_system_score_codex":0.00041816419,"about_ca_system_score_gemma":0.00022617617,"threshold_uncertainty_score":0.9995667},"labels":[],"label_agreement":null},{"id":"W3198678684","doi":"10.1016/j.ijpsycho.2021.07.376","title":"Classification of Schizophrenia EEG Based on Gamma-Band Brain Network","year":2021,"lang":"en","type":"article","venue":"International Journal of Psychophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Neuroscience; Superior frontal gyrus; Gyrus; Schizophrenia (object-oriented programming); Middle frontal gyrus; Electroencephalography; Superior temporal gyrus; Psychology; Middle temporal gyrus; Inferior frontal gyrus; Audiology; Medial frontal gyrus; Cognition; Medicine; Functional magnetic resonance imaging; Psychiatry","score_opus":0.025137055753861225,"score_gpt":0.3014384265536264,"score_spread":0.2763013707997652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198678684","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97916734,0.000024313678,0.0032274178,0.0098099895,0.0056007463,0.000051372474,0.00001918434,0.000008888254,0.0020907274],"genre_scores_gemma":[0.99530643,0.00003470279,0.0003827886,0.003440659,0.0006757882,0.000001482728,0.000009336565,0.000009658955,0.0001391713],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986903,0.00020192516,0.00043001218,0.0001985406,0.00035989325,0.000119342316],"domain_scores_gemma":[0.99837214,0.00055403786,0.00052557787,0.00014254871,0.000357698,0.000047991616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015969903,0.000093159026,0.00017900289,0.0001378686,0.00003530346,0.00002185986,0.00031413135,0.00006461151,0.00014424427],"category_scores_gemma":[0.0005467495,0.00007946426,0.00015219148,0.00018947606,0.00007615867,0.000092712224,0.000017306555,0.00021970071,0.000014493984],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011332383,0.00017096016,0.00019707633,0.0000034242503,0.00001901245,0.000046542893,0.0000089592695,0.005815659,0.9766219,0.007992613,0.0031337964,0.004856766],"study_design_scores_gemma":[0.008948528,0.0027337854,0.28340182,0.00041695306,0.000049281414,0.0005845518,0.00004868827,0.06049389,0.51885945,0.10468576,0.019231204,0.00054609973],"about_ca_topic_score_codex":0.0000011984263,"about_ca_topic_score_gemma":0.0000019746676,"teacher_disagreement_score":0.45776254,"about_ca_system_score_codex":0.000036650577,"about_ca_system_score_gemma":0.00009379622,"threshold_uncertainty_score":0.32404587},"labels":[],"label_agreement":null},{"id":"W3198789381","doi":"10.1101/2021.08.30.458266","title":"Population dynamics of the thalamic head direction system during drift and reorientation","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Landmark; Orientation (vector space); Rotation (mathematics); Compass; Population; Attractor; TRACE (psycholinguistics); Representation (politics); Computer science; Neuroscience; Azimuth; Physics; Artificial intelligence; Computer vision; Geometry; Psychology; Mathematics; Cartography; Geography; Mathematical analysis","score_opus":0.011439062812519267,"score_gpt":0.21320662610275923,"score_spread":0.20176756329023995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198789381","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955229,0.00007189812,0.00040092063,0.00012985079,0.0030225161,0.0005647027,0.000087797176,0.00019055512,0.000008821521],"genre_scores_gemma":[0.9994963,0.0000829064,0.00014294198,0.000031943517,0.00012992292,0.000048621525,8.1049495e-7,0.000057448666,0.000009140459],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9977786,0.00029417415,0.00047096002,0.0008085467,0.000402434,0.0002453197],"domain_scores_gemma":[0.99836206,0.00006937508,0.00060623203,0.00071352837,0.0001793214,0.0000694749],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025616505,0.00029894392,0.00034305005,0.00015549292,0.00031269944,0.00018723699,0.0002275473,0.00027261404,0.0000026247756],"category_scores_gemma":[0.00028391555,0.00027167524,0.000120430486,0.00055271666,0.00008104298,0.00022173018,0.00035974907,0.00045633013,0.0000013149423],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018756577,0.00003693786,0.027072074,0.0007459236,0.000012941077,0.000008259372,0.000012388628,0.00041969705,0.9686327,0.0030353318,0.0000011363729,0.00000388463],"study_design_scores_gemma":[0.00021954122,0.000016197859,0.65365374,0.00056216173,0.000052452706,1.7865516e-7,0.000012222833,0.021037396,0.32418352,0.0000032224768,0.000006014093,0.00025334593],"about_ca_topic_score_codex":0.00020041705,"about_ca_topic_score_gemma":0.000031784613,"teacher_disagreement_score":0.6444492,"about_ca_system_score_codex":0.00044489602,"about_ca_system_score_gemma":0.00008807924,"threshold_uncertainty_score":0.99997354},"labels":[],"label_agreement":null},{"id":"W3199176488","doi":"10.3389/fnins.2021.700253","title":"Machine Learning in Modeling of Mouse Behavior","year":2021,"lang":"en","type":"article","venue":"Frontiers in Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; Université de Sherbrooke","funders":"Multiple Sclerosis Society of Canada","keywords":"Random forest; Computer science; Support vector machine; Artificial intelligence; Preprocessor; Machine learning; Feature (linguistics); Artificial neural network; Pattern recognition (psychology); Convolutional neural network; Curse of dimensionality; Data mining","score_opus":0.030243477816619967,"score_gpt":0.2513998095074668,"score_spread":0.22115633169084686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199176488","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897069,0.00006354126,0.00823236,0.00013127974,0.0012419053,0.00012326219,0.000007632469,0.000031705164,0.00046144146],"genre_scores_gemma":[0.9976337,0.00019845729,0.00078034255,0.00036871288,0.00000793695,0.000011345254,0.0000012985478,0.000012341674,0.000985855],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99842477,0.00015104409,0.00028855764,0.0005471238,0.0002958732,0.00029261434],"domain_scores_gemma":[0.99962175,0.000039639985,0.00007174876,0.00019544672,0.000022011343,0.000049422102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019389487,0.00010772569,0.00018094279,0.0002445763,0.00007219059,0.000035403627,0.0002691562,0.00004121047,0.0000050523768],"category_scores_gemma":[0.0009665227,0.00011157273,0.000042571282,0.0011511615,0.00010992297,0.00026790213,0.00012455073,0.0003363626,0.0000010356888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000140248785,0.00012359682,0.06636909,0.000009319974,7.526523e-8,0.0001455155,0.00005498714,0.07548323,0.8557437,0.00028756377,0.000012044915,0.0017568492],"study_design_scores_gemma":[0.00025791963,0.00004698248,0.0027466533,0.000014458029,0.0000016226802,0.000019852227,0.000039391387,0.91764086,0.0787467,0.0002033382,0.0001714971,0.000110731016],"about_ca_topic_score_codex":0.000035357403,"about_ca_topic_score_gemma":0.00002348444,"teacher_disagreement_score":0.8421576,"about_ca_system_score_codex":0.0000432202,"about_ca_system_score_gemma":0.000057862806,"threshold_uncertainty_score":0.4549804},"labels":[],"label_agreement":null},{"id":"W3199344000","doi":"10.1111/pcn.13300","title":"Current findings and perspectives on aberrant neural oscillations in schizophrenia","year":2021,"lang":"en","type":"review","venue":"Psychiatry and Clinical Neurosciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":121,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; Medical Research Council; Medical Research Council Canada; Japan Agency for Medical Research and Development","keywords":"Neuroscience; Magnetoencephalography; Schizophrenia (object-oriented programming); Glutamatergic; Cognition; Neuroimaging; Psychology; Psychosis; Electroencephalography; Medicine; Psychiatry; Glutamate receptor","score_opus":0.12685405367284394,"score_gpt":0.40406025243582633,"score_spread":0.27720619876298236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199344000","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.048421178,0.94039756,0.0000034519178,0.00087481184,0.0095464885,0.00050182216,0.000052476196,0.00004815186,0.0001540899],"genre_scores_gemma":[0.008794275,0.99049157,0.000031512915,0.00024967425,0.00031146646,0.000021223588,0.0000033175052,0.00002133273,0.00007564427],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9958527,0.0007080346,0.0009061091,0.0017879962,0.00036356197,0.00038156656],"domain_scores_gemma":[0.997596,0.0015925302,0.0002743738,0.00030333298,0.000018484618,0.00021522572],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005115226,0.0004181756,0.0010441047,0.00027530044,0.0004216126,0.0003246615,0.00033784358,0.00018736589,0.000014489782],"category_scores_gemma":[0.0015381842,0.00030579453,0.00033571268,0.0009934709,0.0007496624,0.00022090193,0.00019303871,0.0011950276,0.000007981716],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004241465,0.0011722994,0.0025698154,0.0011854416,0.0000068025843,0.000029090363,0.000040753435,0.000005267625,0.000012130789,0.019102521,0.000096737385,0.97573674],"study_design_scores_gemma":[0.003567455,0.0059139957,0.03774697,0.022847133,0.00082122925,0.00087144994,0.0006504309,0.00791764,0.0000029893065,0.0036116259,0.9119163,0.0041327686],"about_ca_topic_score_codex":0.000003600054,"about_ca_topic_score_gemma":0.000021784746,"teacher_disagreement_score":0.97160393,"about_ca_system_score_codex":0.00001721766,"about_ca_system_score_gemma":0.00018748884,"threshold_uncertainty_score":0.99993944},"labels":[],"label_agreement":null},{"id":"W3199655097","doi":"10.1101/2021.09.10.459796","title":"Corticothalamic Projections Gate Alpha Rhythms in the Pulvinar","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Excitatory postsynaptic potential; Thalamus; Asynchronous communication; Rhythm; Inhibitory postsynaptic potential; Physics; Biology; Computer science","score_opus":0.02605943016371293,"score_gpt":0.23665528639334277,"score_spread":0.21059585622962984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199655097","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938833,0.00014230055,0.00029916904,0.0009090364,0.0033840232,0.0010196733,0.000067067325,0.0002446372,0.000050779832],"genre_scores_gemma":[0.9975429,0.00033350303,0.00022442319,0.001116296,0.00028903162,0.0003826015,3.4039442e-7,0.000086555614,0.00002435964],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9965782,0.00048191517,0.0005383285,0.0012767899,0.0005232861,0.0006014621],"domain_scores_gemma":[0.9978655,0.00020784319,0.00032770372,0.0013349667,0.00016087691,0.00010311709],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00051820127,0.00046965963,0.00040900856,0.00028381072,0.00028769195,0.0005993764,0.00068324973,0.0002925902,0.000028787963],"category_scores_gemma":[0.0007155357,0.0004016671,0.00018654029,0.0012271916,0.00015432623,0.00023698628,0.0004254544,0.001318027,0.00004635657],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014886974,0.00025146542,0.0015076054,0.00013583276,0.000014244491,0.00047107786,0.000026097301,0.00029357473,0.99573725,0.0013828094,0.0001611414,0.0000040390655],"study_design_scores_gemma":[0.0012478548,0.0002607283,0.43983334,0.0009642687,0.00019323512,0.0000021457308,0.000044958433,0.02293361,0.5260381,0.00004888099,0.006084313,0.0023485317],"about_ca_topic_score_codex":0.00010399795,"about_ca_topic_score_gemma":0.000026766482,"teacher_disagreement_score":0.46969908,"about_ca_system_score_codex":0.00026192857,"about_ca_system_score_gemma":0.00045526988,"threshold_uncertainty_score":0.99984354},"labels":[],"label_agreement":null},{"id":"W3199759523","doi":"10.1152/jn.00434.2020","title":"Spectral changes following resective epilepsy surgery and neurocognitive function in children with epilepsy","year":2021,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Neurocognitive; Epilepsy; Electrocorticography; Epilepsy surgery; Neuropsychology; Neuroscience; Electroencephalography; Electrophysiology; Psychology; Cognition; Audiology; Medicine","score_opus":0.021514351936872143,"score_gpt":0.24054348135666606,"score_spread":0.2190291294197939,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199759523","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99837524,0.000030461835,0.00004186235,0.0005990694,0.0007477338,0.00011071992,0.000004892713,0.0000114421755,0.00007857109],"genre_scores_gemma":[0.9978167,0.00029168453,0.000021996442,0.0015179112,0.00028681842,0.00000342295,0.0000022426552,0.000022882052,0.000036381527],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983489,0.0005013688,0.00029099354,0.0003831702,0.00019759408,0.00027797636],"domain_scores_gemma":[0.9987551,0.00068651064,0.00027460506,0.00011226499,0.00008996971,0.00008152874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008478575,0.00016456563,0.0003922509,0.00026717683,0.00009405314,0.000035937323,0.00008209387,0.000058403763,0.000012744191],"category_scores_gemma":[0.0006390634,0.00012955221,0.00011305049,0.00047578002,0.00009382559,0.00024089598,0.00005784507,0.0005030843,0.0000029394091],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069086533,0.00011168341,0.041824043,0.000006695275,0.000027783475,0.0012735476,0.000045705983,0.00015590215,0.9528454,0.000094699484,0.000020529238,0.0029031683],"study_design_scores_gemma":[0.00068641885,0.0015712989,0.9731022,0.000042677333,0.000036808306,0.0021740666,0.00004006816,0.00018634122,0.021044215,0.0009271913,0.000047196587,0.00014148536],"about_ca_topic_score_codex":0.0000074353866,"about_ca_topic_score_gemma":0.00001367323,"teacher_disagreement_score":0.93180114,"about_ca_system_score_codex":0.000024710256,"about_ca_system_score_gemma":0.00007217971,"threshold_uncertainty_score":0.52829856},"labels":[],"label_agreement":null},{"id":"W3200278881","doi":"10.1101/2021.09.11.459897","title":"Physiological noise optimizes multiplexed coding of vibrotactile-like signals in somatosensory cortex","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Toronto","keywords":"Stimulus (psychology); Somatosensory system; ENCODE; Neuroscience; Computer science; Coding (social sciences); Mathematics; Psychology; Biology; Statistics","score_opus":0.033026506534769864,"score_gpt":0.2387411700737918,"score_spread":0.20571466353902196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200278881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967846,0.00013491033,0.0002980709,0.000071291455,0.0014991752,0.0007945672,0.00016914625,0.00023739427,0.000010810539],"genre_scores_gemma":[0.99694437,0.00044142766,0.0018675453,0.0003669517,0.00014526061,0.0001315077,5.970906e-7,0.00009506037,0.0000072826897],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9959077,0.00048220923,0.0008892424,0.0015717162,0.0005224522,0.0006266449],"domain_scores_gemma":[0.9973274,0.0004418246,0.0007249118,0.001045867,0.00025627066,0.00020376281],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00036028563,0.0006114642,0.0010085535,0.00034320154,0.00013148786,0.00018961896,0.00062794203,0.0005696869,0.00008982584],"category_scores_gemma":[0.0010926806,0.0006141825,0.00030068608,0.0007115296,0.00023763083,0.0002443124,0.0007523317,0.0010284113,0.000017358605],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000086649576,0.00033053284,0.0009121975,0.00032644914,0.00002265371,0.00018664295,0.0000091597685,0.003552995,0.9943778,0.00015529498,0.000038398663,0.000001218701],"study_design_scores_gemma":[0.0007098104,0.000070707996,0.05969751,0.00056572986,0.000033025855,6.3312825e-8,0.000007505412,0.025274793,0.9129438,0.0000026647615,0.000047587106,0.00064680056],"about_ca_topic_score_codex":0.000047382484,"about_ca_topic_score_gemma":0.000002449579,"teacher_disagreement_score":0.081434004,"about_ca_system_score_codex":0.00017658173,"about_ca_system_score_gemma":0.000303201,"threshold_uncertainty_score":0.9996309},"labels":[],"label_agreement":null},{"id":"W3200307117","doi":"10.1093/cercor/bhab295","title":"Assessing the Longitudinal Relationship between Theta-Gamma Coupling and Working Memory Performance in Older Adults","year":2021,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; Health Sciences Centre; Sunnybrook Health Science Centre; St. Michael's Hospital; Queen's University; University Health Network; Toronto Dementia Research Alliance; University of Toronto; Centre for Addiction and Mental Health","funders":"Academic Health Center, University of Minnesota; Ontario Ministry of Research, Innovation and Science; Canada Foundation for Innovation; Canadian Institutes of Health Research; Ontario Mental Health Foundation","keywords":"Working memory; Electroencephalography; Psychology; Association (psychology); Alpha (finance); Major depressive disorder; Audiology; Neuroscience; Cognition; Medicine; Developmental psychology","score_opus":0.07305813849660839,"score_gpt":0.29371114164559825,"score_spread":0.22065300314898986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200307117","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997574,0.000091275164,0.000098014374,0.00052688725,0.00029220892,0.00014439716,0.0000012830342,0.00003600524,0.0012359546],"genre_scores_gemma":[0.9992418,0.0000165138,0.000035220033,0.0001801996,0.00013758996,0.000007505827,0.0000061896876,0.00001533491,0.00035962675],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988381,0.00007582117,0.00023083967,0.00040742333,0.00020268852,0.000245118],"domain_scores_gemma":[0.99897313,0.00065264513,0.00009667496,0.00020513026,0.000026875296,0.0000455446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026446633,0.00012413911,0.00013626723,0.00005560627,0.00039981608,0.0002452299,0.00011918351,0.000060689443,0.000026311815],"category_scores_gemma":[0.000266821,0.00009370539,0.00003848924,0.0003582282,0.00008450075,0.00041394902,0.00010311857,0.00039418184,0.00001185],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000075119774,0.000012968595,0.99093735,0.000022600176,0.000001505002,0.000015165228,0.0001541029,0.0001785803,0.0013890194,0.00041047978,0.0000052527994,0.006865483],"study_design_scores_gemma":[0.00031653076,0.000014896014,0.9715904,0.0001370948,0.000010722742,0.000035932662,0.0001831356,0.025707025,0.0015910036,0.00027255717,0.000020261466,0.00012042874],"about_ca_topic_score_codex":0.000008163239,"about_ca_topic_score_gemma":0.000030714127,"teacher_disagreement_score":0.025528444,"about_ca_system_score_codex":0.000036282803,"about_ca_system_score_gemma":0.00003916982,"threshold_uncertainty_score":0.3821195},"labels":[],"label_agreement":null},{"id":"W3200406709","doi":"10.1103/physrevresearch.2.043067","title":"Phase dynamics of delay-coupled quasi-cycles with application to brain rhythms","year":2020,"lang":"en","type":"article","venue":"Physical Review Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rhythm; Synchronization (alternating current); Coupling (piping); Noise (video); Phase (matter); Physics; Phase locking; Dynamics (music); Control theory (sociology); Phase synchronization; Phase noise; Computer science; Statistical physics; Acoustics; Materials science; Telecommunications; Optics; Artificial intelligence; Quantum mechanics","score_opus":0.09216174559438362,"score_gpt":0.4269274956189575,"score_spread":0.33476575002457387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200406709","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89900345,0.0005154575,0.029495697,0.06720547,0.000028853978,0.0027778335,0.00006553571,0.0000858914,0.0008218321],"genre_scores_gemma":[0.99561393,0.0007815284,0.00009182048,0.0031461252,0.000106561594,0.00016771544,0.000016336075,0.000023553557,0.000052427018],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99785113,0.00025993714,0.00022978871,0.00051006925,0.00083298975,0.000316068],"domain_scores_gemma":[0.99845296,0.0007181797,0.000074558855,0.00033321176,0.0001687745,0.00025230274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040937305,0.00012462624,0.0003231781,0.000052806747,0.00010057056,0.000028429724,0.0003246259,0.000018856937,0.000017055128],"category_scores_gemma":[0.0016014648,0.00009089264,0.00007848398,0.0015408583,0.0001384686,0.00010741525,0.00013798673,0.00032590757,0.00016960298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030875835,0.0010882211,0.000018711167,0.0014584331,0.0000069518246,0.000016057893,0.000108489396,0.00007221434,0.8050284,0.048081096,0.0010494164,0.14276327],"study_design_scores_gemma":[0.001027278,0.004412832,0.0000829696,0.0006604411,0.000022768005,0.000010934228,0.00002419325,0.94879377,0.030611767,0.0040239994,0.01002933,0.00029969058],"about_ca_topic_score_codex":0.000033441094,"about_ca_topic_score_gemma":0.000013311384,"teacher_disagreement_score":0.9487216,"about_ca_system_score_codex":0.0000505009,"about_ca_system_score_gemma":0.000055046243,"threshold_uncertainty_score":0.37064943},"labels":[],"label_agreement":null},{"id":"W3200718203","doi":"10.3389/fnhum.2021.717810","title":"Behavioral and Neural Dynamics of Interpersonal Synchrony Between Performing Musicians: A Wireless EEG Hyperscanning Study","year":2021,"lang":"en","type":"article","venue":"Frontiers in Human Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Deutsche Forschungsgemeinschaft; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; McGill University","keywords":"Interpersonal communication; Psychology; Electroencephalography; Rhythm; Dynamics (music); Cognitive psychology; Neuroscience; Communication","score_opus":0.03667542610014047,"score_gpt":0.28826536837558886,"score_spread":0.2515899422754484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200718203","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99628216,0.00002412631,0.0018094264,0.00010083812,0.001324455,0.00029307886,0.000028494775,0.000038255163,0.00009916603],"genre_scores_gemma":[0.9993446,0.000009553269,0.0001416816,0.00024066542,0.000038580365,0.000013425987,0.0000040868103,0.000024687606,0.00018275097],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99751115,0.00020160938,0.000439713,0.00090917526,0.00048975,0.000448629],"domain_scores_gemma":[0.99929214,0.00007461166,0.00017681609,0.0003026868,0.00004477869,0.00010897227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025245317,0.00023408482,0.00038176254,0.0002899296,0.0003764352,0.00013561545,0.00042557204,0.000060536786,0.0000062334666],"category_scores_gemma":[0.0001649928,0.00024342698,0.000070082286,0.000809249,0.00055149395,0.0005178638,0.00032525868,0.0004181825,1.2813085e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025073969,0.0003984543,0.69306004,0.00004129142,0.0000020349876,0.00030828826,0.0018761773,0.00031190942,0.2852536,0.00027019795,0.000035406087,0.018417541],"study_design_scores_gemma":[0.001629938,0.0017544052,0.40330905,0.00016131118,0.00006794532,0.0001491492,0.0086570205,0.5663718,0.016681459,0.00038574872,0.00004717688,0.00078503083],"about_ca_topic_score_codex":0.00007626236,"about_ca_topic_score_gemma":0.0001159318,"teacher_disagreement_score":0.5660599,"about_ca_system_score_codex":0.000120865334,"about_ca_system_score_gemma":0.000056684075,"threshold_uncertainty_score":0.9926664},"labels":[],"label_agreement":null},{"id":"W3200920912","doi":"10.21203/rs.3.rs-907578/v1","title":"Distributed context-dependent choice information in mouse posterior cortex","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Context (archaeology); Cortex (anatomy); Computer science; Neuroscience; Psychology; Biology; Paleontology","score_opus":0.06408286261830969,"score_gpt":0.3576121543075787,"score_spread":0.293529291689269,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200920912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953389,0.00008552274,0.00021673056,0.00090768334,0.0005520563,0.0013376991,0.0010901099,0.00009057513,0.00038072388],"genre_scores_gemma":[0.9976592,0.00022365744,0.0000081855915,0.0002888192,0.000077248136,0.0002011506,0.00093400036,0.000023314557,0.00058440695],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99594766,0.0007363816,0.0005181998,0.0006602083,0.0014903345,0.0006471998],"domain_scores_gemma":[0.9978709,0.00061178976,0.00014446967,0.00075494725,0.00044389692,0.00017400402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008580947,0.0002437232,0.00033995992,0.00048932806,0.00019577451,0.00087496743,0.0005588325,0.00031373004,0.00015549932],"category_scores_gemma":[0.003675116,0.00023772052,0.00014873636,0.0006020462,0.00011455404,0.0006171148,0.0015970848,0.0020279926,0.00012862503],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010124614,0.0014472087,0.012657195,0.005510404,0.00007723988,0.0010706293,0.002972643,0.009266231,0.83339995,0.0019980387,0.0026695132,0.12791847],"study_design_scores_gemma":[0.009359228,0.002270453,0.33465078,0.0051437444,0.00005493415,0.00025917034,0.00874966,0.23338808,0.34187192,0.0023631211,0.057608604,0.004280326],"about_ca_topic_score_codex":0.0013674508,"about_ca_topic_score_gemma":0.000786312,"teacher_disagreement_score":0.49152806,"about_ca_system_score_codex":0.0005542608,"about_ca_system_score_gemma":0.0003563777,"threshold_uncertainty_score":0.9693962},"labels":[],"label_agreement":null},{"id":"W3201087945","doi":"10.1523/jneurosci.0037-21.2021","title":"Cognitive and Neural State Dynamics of Narrative Comprehension","year":2021,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Institute for Basic Science; National Research Foundation of Korea","keywords":"Narrative; Comprehension; Cognition; Default mode network; Cognitive psychology; Psychology; Cognitive science; Computer science; Neuroscience; Linguistics","score_opus":0.03938493570281578,"score_gpt":0.2890901062850862,"score_spread":0.2497051705822704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201087945","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967934,0.000037466783,0.0012563156,0.0008544875,0.00087561953,0.000060213577,0.000019103267,0.000005975488,0.000097403856],"genre_scores_gemma":[0.9985261,0.00017090411,0.00007115981,0.0010387626,0.00002168952,3.166945e-7,3.5996712e-7,0.00000727717,0.00016341283],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99859786,0.00018615556,0.000366925,0.00024825413,0.00043402813,0.00016678395],"domain_scores_gemma":[0.9986734,0.00037497797,0.0004561298,0.000087265515,0.0003023397,0.000105903404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015558192,0.00010539765,0.00021766614,0.00010810829,0.0001404808,0.00006107424,0.00014941911,0.000022802644,0.0000054946536],"category_scores_gemma":[0.0012321469,0.00008497025,0.0000680881,0.000489017,0.00035691273,0.00044202147,0.000110474226,0.0002496558,3.5806355e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007619288,0.0000743207,0.00062875036,0.0000117562395,9.112078e-7,0.00027543356,0.00031128913,0.0002901599,0.9939702,0.00030291732,0.000015284098,0.0040427544],"study_design_scores_gemma":[0.0019133119,0.0024452761,0.099722974,0.0002268653,0.00004096961,0.006727953,0.0014195042,0.31827343,0.5646818,0.0039621126,0.00020817545,0.00037762188],"about_ca_topic_score_codex":0.0000016828601,"about_ca_topic_score_gemma":0.000005261545,"teacher_disagreement_score":0.42928842,"about_ca_system_score_codex":0.00001916304,"about_ca_system_score_gemma":0.00008257114,"threshold_uncertainty_score":0.3464986},"labels":[],"label_agreement":null},{"id":"W3201208474","doi":"10.14288/1.0402147","title":"Cortical auditory evoked potential morphology : response characteristics of the P1-N1-P2-N2 waves as determined by stimulus and subject parameters","year":2021,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Stimulus (psychology); Audiology; Psychology; Neuroscience; Communication; Acoustics; Cognitive psychology; Physics; Medicine","score_opus":0.007951781740307128,"score_gpt":0.18281915669827198,"score_spread":0.17486737495796484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201208474","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985104,0.000014811046,0.00009133907,0.00024711734,0.0005972916,0.00015015376,0.00032044228,0.000022532118,0.000045905806],"genre_scores_gemma":[0.99855506,0.00006549949,0.000052673528,0.00017324468,0.000016671645,3.289643e-7,0.000009033059,0.000010402847,0.0011171093],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998557,0.00043989846,0.00015203247,0.00040659818,0.00023723571,0.00020726863],"domain_scores_gemma":[0.9990165,0.00037630467,0.00016478765,0.00026125117,0.00009056299,0.00009054656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016154854,0.00005335918,0.00024310598,0.000026487583,0.00026372357,0.000058517046,0.00022311139,0.00010663466,0.00006012304],"category_scores_gemma":[0.00076049886,0.00012833592,0.00010795551,0.00020533439,0.0007383627,0.00013333047,0.00022909406,0.0001830321,0.0000035997307],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032734274,0.00013600381,0.0024318553,0.00003218307,0.0000138206,0.00089012674,0.000069295806,0.0000044407584,0.95920086,0.0000016135517,0.0009341244,0.035958365],"study_design_scores_gemma":[0.0008019061,0.00023000127,0.99456567,0.000041541392,0.00005241152,0.0005653721,0.00017932596,0.0019484787,0.0012825093,0.00010942226,0.00008597705,0.00013739089],"about_ca_topic_score_codex":0.0028867528,"about_ca_topic_score_gemma":0.002397323,"teacher_disagreement_score":0.9921338,"about_ca_system_score_codex":0.00003725309,"about_ca_system_score_gemma":0.00009774094,"threshold_uncertainty_score":0.5233387},"labels":[],"label_agreement":null},{"id":"W3201457683","doi":"10.1088/2632-072x/ac2792","title":"A unified theory of E/I synaptic balance, quasicritical neuronal avalanches and asynchronous irregular spiking","year":2021,"lang":"en","type":"article","venue":"Journal of Physics Complexity","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Balance (ability); Asynchronous communication; Neuroscience; Adaptation (eye); Homeostatic plasticity; Physics; Computer science; Synaptic plasticity; Psychology; Biology; Telecommunications; Metaplasticity","score_opus":0.05693950216352036,"score_gpt":0.267632401667234,"score_spread":0.21069289950371364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201457683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9827649,0.00007427903,0.015874103,0.0003723305,0.00036007492,0.00004674271,0.000014621233,0.000009476841,0.0004834954],"genre_scores_gemma":[0.99852467,0.000032522392,0.00087444833,0.0003173368,0.00021810531,4.2438293e-7,0.0000012897525,0.000011893127,0.000019322752],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998655,0.0002799374,0.00035607076,0.00019314143,0.0003337817,0.00018206058],"domain_scores_gemma":[0.9987704,0.00054929213,0.0002641516,0.00015939605,0.00016760913,0.00008913367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027902253,0.00012207964,0.00032887002,0.000040385647,0.0000944717,0.00004510052,0.00014790695,0.000034271354,0.000026323292],"category_scores_gemma":[0.00041207843,0.00010749212,0.00013085148,0.00019217005,0.00034664132,0.00019124283,0.000092850765,0.00030041652,0.0000016684486],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008055939,0.00020497132,0.00054492394,0.000061105005,0.000019465888,0.000088184664,0.0000597141,0.00006857789,0.5861678,0.40868536,0.00002025573,0.003999051],"study_design_scores_gemma":[0.0010406362,0.0005516793,0.029239723,0.00015261538,0.000088785,0.00081420195,0.00011181749,0.016745815,0.26123708,0.6896234,0.00014645953,0.00024775206],"about_ca_topic_score_codex":0.0000012930612,"about_ca_topic_score_gemma":8.754304e-7,"teacher_disagreement_score":0.32493073,"about_ca_system_score_codex":0.00002660518,"about_ca_system_score_gemma":0.00009453562,"threshold_uncertainty_score":0.43834013},"labels":[],"label_agreement":null},{"id":"W3201662917","doi":"10.1016/j.neuron.2021.09.002","title":"CellExplorer: A framework for visualizing and characterizing single neurons","year":2021,"lang":"en","type":"article","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":163,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; National Institutes of Health; Lundbeckfonden; Kavli Foundation","keywords":"Computer science; Graphical user interface; Interface (matter); Neuron; Process (computing); Visualization; MATLAB; Neuroscience; Artificial intelligence; Human–computer interaction; Biology; Programming language","score_opus":0.07054539860509111,"score_gpt":0.2939982569656395,"score_spread":0.2234528583605484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201662917","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910842,0.000029320903,0.0042629405,0.00286653,0.0011305267,0.00019296851,0.000015899555,0.00011462352,0.00030297396],"genre_scores_gemma":[0.9917891,0.00008821768,0.00076046103,0.0068046544,0.00018841267,0.000024244075,0.000005951038,0.000040415296,0.000298541],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99885744,0.000078733705,0.00015356994,0.00051487616,0.00012922836,0.000266158],"domain_scores_gemma":[0.9990664,0.0005665753,0.000067145615,0.00019592252,0.00002565899,0.00007829974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000049173323,0.00012944925,0.00013333152,0.00004402531,0.00022558348,0.00015909718,0.000079464655,0.000055287044,0.000019132325],"category_scores_gemma":[0.00090112543,0.00013222643,0.000059490878,0.00017581093,0.000039896095,0.000172089,0.00009463583,0.00016839588,0.000009542811],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022881008,0.0000567036,0.000056519566,0.000026304033,8.4160763e-7,0.000034601533,0.00007421247,0.0000045192264,0.98619604,0.0083603915,0.00007763468,0.005089336],"study_design_scores_gemma":[0.0003193193,0.0003635413,0.0016127405,0.000044098262,0.000014456751,0.00010198325,0.00003808819,0.0058957157,0.94325083,0.0055394946,0.042584565,0.00023518175],"about_ca_topic_score_codex":9.326788e-7,"about_ca_topic_score_gemma":0.0000010538482,"teacher_disagreement_score":0.04294524,"about_ca_system_score_codex":0.000012050145,"about_ca_system_score_gemma":0.000014812937,"threshold_uncertainty_score":0.5392037},"labels":[],"label_agreement":null},{"id":"W3203035253","doi":"10.1101/2021.10.04.463077","title":"CNN MouseNet: A biologically constrained convolutional neural network model for mouse visual cortex","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Neurological Disorders and Stroke; National Institutes of Health","keywords":"Visual cortex; Computer science; Artificial intelligence; Convolutional neural network; Pattern recognition (psychology); Artificial neural network; Connectome; Cognitive neuroscience of visual object recognition; Neuroscience; Object (grammar); Biology; Functional connectivity","score_opus":0.030762371050745925,"score_gpt":0.2438369781066451,"score_spread":0.21307460705589917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203035253","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9557933,0.00015630214,0.038695227,0.00035842822,0.00199499,0.0014165851,0.0009685299,0.0006101147,0.0000065324634],"genre_scores_gemma":[0.9914875,0.00012439312,0.005032635,0.0019584456,0.0007681579,0.00042668197,0.000005604047,0.00014145568,0.000055142835],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99550307,0.0002501031,0.00078472425,0.0019610194,0.00047974812,0.0010213399],"domain_scores_gemma":[0.99736446,0.0003897058,0.00057103636,0.00079305406,0.0005241906,0.00035757018],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00045813288,0.00075867935,0.0007823376,0.00015242225,0.00045601116,0.0004534472,0.0006432511,0.0007333129,0.00004912172],"category_scores_gemma":[0.0008445172,0.0007624963,0.00041588212,0.00044923925,0.00040019624,0.00019220551,0.0006398802,0.00073446264,0.000016018277],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013000148,0.00020072896,0.0003452016,0.00011730152,0.000045590343,0.00005664035,0.0000026319592,0.0417286,0.95318455,0.0038761029,0.00031016755,0.0000024782412],"study_design_scores_gemma":[0.00083169626,0.00016981208,0.0036260968,0.000088777306,0.00007598792,1.8338727e-7,0.0000014417393,0.9248654,0.0690888,0.000028318866,0.00026083595,0.0009626046],"about_ca_topic_score_codex":0.000009937513,"about_ca_topic_score_gemma":0.000004122579,"teacher_disagreement_score":0.8840957,"about_ca_system_score_codex":0.00022880879,"about_ca_system_score_gemma":0.00082772033,"threshold_uncertainty_score":0.99948263},"labels":[],"label_agreement":null},{"id":"W3204518737","doi":"10.1038/s41598-021-97960-7","title":"Exploring electroencephalography with a model inspired by quantum mechanics","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University; Western University","funders":"Canadian Institutes of Health Research; Canada Excellence Research Chairs, Government of Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Electroencephalography; Rotation formalisms in three dimensions; Computer science; Brain activity and meditation; Task (project management); Resting state fMRI; Quantum; Cognitive science; Neuroscience; Cognition; Object (grammar); Cognitive psychology; Psychology; Artificial intelligence; Physics; Mathematics; Quantum mechanics","score_opus":0.06215645374267376,"score_gpt":0.23296286122420243,"score_spread":0.17080640748152867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204518737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9794645,0.000038712256,0.016109947,0.00026131817,0.0033068287,0.00016075357,0.000004797119,0.00015353969,0.00049965136],"genre_scores_gemma":[0.998375,0.000029645511,0.0002318774,0.00021916977,0.000017927112,0.00004619878,0.000023361892,0.000020443527,0.0010364],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99751985,0.00004834379,0.00028331368,0.0011143164,0.0006280568,0.00040614736],"domain_scores_gemma":[0.99889886,0.000028026667,0.00017113217,0.0006560251,0.00012345419,0.00012248935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034459776,0.00014899281,0.00014567561,0.00013170743,0.0004547276,0.00037091738,0.000120047356,0.00003103749,0.000017182405],"category_scores_gemma":[0.00019076081,0.0001240129,0.000079699275,0.0014021238,0.000100781275,0.00057193224,0.00006550836,0.00015028715,0.000006131397],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009068366,0.000070065646,0.0000607398,0.0000072562952,0.0000028030097,0.00060040347,0.00006366283,0.0011347912,0.9924739,0.0036056545,0.001438808,0.00053284067],"study_design_scores_gemma":[0.00011312347,0.00007864752,0.000016175474,0.000023496299,0.000012619132,0.0007185984,0.00004206921,0.14477144,0.8049727,0.044203207,0.0048045837,0.00024336368],"about_ca_topic_score_codex":0.000005294786,"about_ca_topic_score_gemma":0.000014540398,"teacher_disagreement_score":0.18750122,"about_ca_system_score_codex":0.00003159537,"about_ca_system_score_gemma":0.0001507614,"threshold_uncertainty_score":0.50570995},"labels":[],"label_agreement":null},{"id":"W3204798985","doi":"10.1101/2021.10.01.462622","title":"Brain stimulation competes with ongoing oscillations for control of spike timing in the primate brain","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Ottawa; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research","keywords":"Transcranial alternating current stimulation; Neuroscience; Entrainment (biomusicology); Rhythm; Stimulation; Brain stimulation; Endogeny; Human brain; Electrical brain stimulation; Electroencephalography; Psychology; Biology; Medicine; Transcranial magnetic stimulation; Internal medicine","score_opus":0.024808115901876544,"score_gpt":0.2543550824284015,"score_spread":0.22954696652652495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204798985","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.959397,0.000059871247,0.035837978,0.0022955153,0.00038751258,0.0017003288,0.00021322184,0.00009918938,0.000009383922],"genre_scores_gemma":[0.99593467,0.000011040133,0.0023041673,0.0013625578,0.00012185677,0.00019691583,0.0000011701868,0.00006459515,0.000003055232],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975371,0.00032670563,0.0005407457,0.0007918103,0.00041983917,0.00038379765],"domain_scores_gemma":[0.9966512,0.0017580966,0.0005406422,0.00070665457,0.00027903164,0.00006437809],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00090943964,0.00034613998,0.00046208847,0.00025142735,0.00022374399,0.00027151307,0.00040301724,0.0001940559,0.000008071922],"category_scores_gemma":[0.0015016702,0.00028517895,0.00012807947,0.00064211193,0.00012139892,0.00020925347,0.00012467554,0.00043999817,0.0000016374013],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000066200766,0.000103669416,0.005086014,0.00029481694,0.000018590597,0.000014529862,0.00004132908,0.02095713,0.9703789,0.0030032527,0.000029943432,0.0000056727936],"study_design_scores_gemma":[0.0037712157,0.00040650883,0.20357856,0.0014719777,0.00017222906,2.0310348e-7,0.00003568932,0.43398488,0.3541021,0.000037281643,0.0011826837,0.0012566996],"about_ca_topic_score_codex":0.000029330653,"about_ca_topic_score_gemma":0.000021149708,"teacher_disagreement_score":0.61627674,"about_ca_system_score_codex":0.00012292301,"about_ca_system_score_gemma":0.00031061764,"threshold_uncertainty_score":0.99996006},"labels":[],"label_agreement":null},{"id":"W3205838232","doi":"10.1101/2020.10.08.332247","title":"EEG signatures of contextual influences on visual search with real scenes","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Army Research Office; Natural Sciences and Engineering Research Council of Canada; Institute for Collaborative Biotechnologies; University of California, Santa Barbara","keywords":"Artificial intelligence; Computer science; Classifier (UML); Visual search; Electroencephalography; Pattern recognition (psychology); Computer vision; Context (archaeology); Visual Objects; Psychology; Perception; Neuroscience; Geography","score_opus":0.027942996044341854,"score_gpt":0.26184135002023057,"score_spread":0.2338983539758887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205838232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976951,0.00005691654,0.00011216429,0.00040931298,0.0005994556,0.00061293656,0.00021247512,0.00026024046,0.000041386702],"genre_scores_gemma":[0.99860716,0.00014575424,0.00021354233,0.0006621873,0.0002277879,0.000050600727,2.5338488e-7,0.00008701216,0.0000057178495],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9967017,0.00026339715,0.00044289077,0.0012526512,0.00088024966,0.0004591166],"domain_scores_gemma":[0.9981558,0.0002994355,0.00038314326,0.00060773274,0.00031329846,0.00024061771],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027442584,0.0005024981,0.0005712969,0.0002560302,0.00016971749,0.00018982838,0.0006399608,0.0003565416,0.000022288408],"category_scores_gemma":[0.00042077174,0.0004210706,0.00012351696,0.000644209,0.00037745325,0.00015341734,0.0003904618,0.0010589011,0.000029904146],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036206702,0.0001402613,0.0023552696,0.00025014125,0.00003387907,0.00009780123,0.000012939097,0.0007856605,0.9919724,0.0039305524,0.000053930926,0.0000051051975],"study_design_scores_gemma":[0.00048252314,0.0008002087,0.08694673,0.0004067225,0.0000427574,2.0851271e-8,0.0000057691236,0.0029459572,0.9076219,0.0000049446635,0.00017498048,0.00056748436],"about_ca_topic_score_codex":0.000119681834,"about_ca_topic_score_gemma":0.0000045024085,"teacher_disagreement_score":0.08459146,"about_ca_system_score_codex":0.00009413998,"about_ca_system_score_gemma":0.00048376367,"threshold_uncertainty_score":0.9998241},"labels":[],"label_agreement":null},{"id":"W3206371203","doi":"10.1101/2021.10.13.464279","title":"Novelty and uncertainty interact to regulate the balance between exploration and exploitation in the human brain","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Novelty; Ventromedial prefrontal cortex; Computer science; Exploit; Leverage (statistics); Stimulus (psychology); Ventral striatum; Prefrontal cortex; Cognitive psychology; Artificial intelligence; Psychology; Machine learning; Cognition; Neuroscience; Striatum; Social psychology","score_opus":0.039140875862517716,"score_gpt":0.264003869704201,"score_spread":0.22486299384168326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206371203","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896988,0.000056351073,0.0009334348,0.008012975,0.00035968632,0.0008160231,0.000054927805,0.00006324222,0.0000045598913],"genre_scores_gemma":[0.9972648,0.00008168013,0.00014325221,0.0020790675,0.00020110473,0.00018723319,8.9996763e-7,0.000036912537,0.000005047945],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9976635,0.00048682844,0.00037766917,0.0008688078,0.00032110472,0.00028206376],"domain_scores_gemma":[0.99838656,0.0005117671,0.00023378845,0.00067139254,0.00011010235,0.00008640983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092397386,0.00030550497,0.00028056523,0.0001440925,0.0003063177,0.0006835903,0.00037347525,0.00015701643,0.0000040439586],"category_scores_gemma":[0.0008234777,0.00022258428,0.00004650321,0.0005265661,0.00011419149,0.00037341195,0.0003794633,0.00060863124,0.0000030581293],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014042079,0.000033336397,0.0035261714,0.0000754929,0.000008357639,0.000016102676,0.00028640643,0.00032199916,0.99428916,0.0012957221,0.00010631848,0.000026912372],"study_design_scores_gemma":[0.0007014054,0.0001694845,0.87201375,0.0006531875,0.000056974895,1.4810512e-7,0.00016361153,0.007765322,0.11561659,0.00017746995,0.0017906334,0.00089144276],"about_ca_topic_score_codex":0.00008497979,"about_ca_topic_score_gemma":0.00004036336,"teacher_disagreement_score":0.87867254,"about_ca_system_score_codex":0.00009848071,"about_ca_system_score_gemma":0.00006752169,"threshold_uncertainty_score":0.90767235},"labels":[],"label_agreement":null},{"id":"W3207087726","doi":"10.1007/s10827-021-00799-0","title":"Fast-slow analysis as a technique for understanding the neuronal response to current ramps","year":2021,"lang":"en","type":"article","venue":"Journal of Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"National Institute on Deafness and Other Communication Disorders; National Institute on Drug Abuse; Foundation for the National Institutes of Health; National Science Foundation","keywords":"Current (fluid); Neuroscience; Theory of computation; Computer science; Psychology; Physics; Algorithm","score_opus":0.06885374689320604,"score_gpt":0.33646033854295027,"score_spread":0.2676065916497442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207087726","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23131755,0.000010139948,0.758725,0.008682047,0.0009781247,0.00022405127,0.000020964417,0.000010903557,0.00003120462],"genre_scores_gemma":[0.99288565,0.000008827057,0.0019021991,0.0049783587,0.00009128144,0.000012223787,0.0000010096368,0.000010521044,0.00010991928],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99764556,0.00039651032,0.00044609155,0.0003627228,0.00090664,0.00024247906],"domain_scores_gemma":[0.9967857,0.0022553646,0.00034172897,0.0001545702,0.0003059825,0.00015668283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009694038,0.00013182366,0.00020377325,0.0003982626,0.0004624226,0.00026319482,0.0004505263,0.000023487999,0.000013200326],"category_scores_gemma":[0.003869097,0.00009640634,0.00028468494,0.0023035386,0.0001696975,0.00027345415,0.00010430414,0.0002684714,0.00000299841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042348527,0.00009571993,0.00006545248,0.000005496453,0.0000058484943,0.000047634392,0.00007719862,0.37822273,0.6015765,0.018520087,0.0002912165,0.0006686472],"study_design_scores_gemma":[0.0016782458,0.0027572878,0.028782314,0.00011213653,0.00033265114,0.003193227,0.0002520423,0.53276145,0.11675223,0.29669303,0.015952237,0.0007331501],"about_ca_topic_score_codex":3.0363242e-7,"about_ca_topic_score_gemma":6.5587534e-7,"teacher_disagreement_score":0.7615681,"about_ca_system_score_codex":0.000111251444,"about_ca_system_score_gemma":0.00042603997,"threshold_uncertainty_score":0.463195},"labels":[],"label_agreement":null},{"id":"W3207115136","doi":"10.1038/s41467-021-26175-1","title":"Spontaneous traveling waves naturally emerge from horizontal fiber time delays and travel through locally asynchronous-irregular states","year":2021,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Eye Institute; National Institute of Mental Health; National Science Foundation; U.S. Department of Health and Human Services; National Institutes of Health; Canada First Research Excellence Fund","keywords":"Traveling wave; Asynchronous communication; Physics; Stimulus (psychology); Neuroscience; Statistical physics; Computer science; Mathematics; Biology; Mathematical analysis; Telecommunications; Psychology","score_opus":0.014238478809900007,"score_gpt":0.25318054351040786,"score_spread":0.23894206470050786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207115136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9702515,0.011302844,0.0009833102,0.009968446,0.00059369026,0.00044875153,0.0006926895,0.00021556806,0.0055431817],"genre_scores_gemma":[0.985556,0.0025201596,0.008399022,0.0017307658,0.00008035934,0.000014088354,0.00066314556,0.00003990697,0.0009965745],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983396,0.0002551057,0.00031742174,0.00052065187,0.00027814865,0.00028909327],"domain_scores_gemma":[0.99766797,0.0008272787,0.00011321453,0.001155996,0.00014348367,0.00009206493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010145171,0.00024010827,0.0002490447,0.00003827496,0.00059976,0.00015222967,0.00067566044,0.00030617745,0.00018207364],"category_scores_gemma":[0.0003238385,0.00022800585,0.000103436905,0.0003202428,0.00021400095,0.00028917802,0.00038485014,0.0011581654,0.000083593746],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000071928014,0.00029073976,0.000041353604,0.000015210361,0.00006173276,0.00039078027,0.0009781459,0.000114072136,0.9690694,0.013506612,0.0015712173,0.013888783],"study_design_scores_gemma":[0.004644012,0.00094984774,0.022005502,0.00054400665,0.0006347105,0.008764837,0.0021474469,0.38074335,0.30840814,0.051984187,0.21498847,0.0041854796],"about_ca_topic_score_codex":0.000060308284,"about_ca_topic_score_gemma":0.000561191,"teacher_disagreement_score":0.6606613,"about_ca_system_score_codex":0.00007067163,"about_ca_system_score_gemma":0.00009306456,"threshold_uncertainty_score":0.9297809},"labels":[],"label_agreement":null},{"id":"W3207402145","doi":"10.1038/s41467-021-26255-2","title":"MesoNet allows automated scaling and segmentation of mouse mesoscale cortical maps using machine learning","year":2021,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Association for Canadian Studies; University of British Columbia","funders":"Canadian Institutes of Health Research; Health Canada; National Institute of Mental Health; Canadian Open Neuroscience Platform; Fondation Leducq; Fondation Brain Canada; Heart and Stroke Foundation of Canada","keywords":"Computer science; Artificial intelligence; Python (programming language); Toolbox; Segmentation; Deep learning; Convolutional neural network; Atlas (anatomy); Pattern recognition (psychology); Computer vision; Anatomy; Biology","score_opus":0.03624714794390589,"score_gpt":0.3178423927790479,"score_spread":0.28159524483514203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207402145","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969679,0.0009903295,0.00032775456,0.0009769977,0.00009727505,0.00012757376,0.000047972346,0.00016127368,0.00030289625],"genre_scores_gemma":[0.98935115,0.00048260932,0.009533667,0.00032412502,0.000008494411,0.000004248654,0.00012750366,0.000013695559,0.00015450658],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989536,0.00036965738,0.0002132951,0.00019121841,0.00015937633,0.000112886424],"domain_scores_gemma":[0.9988818,0.00044206908,0.00010940897,0.0004434318,0.00007670845,0.000046571036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014917075,0.0000844477,0.00012422411,0.000058772173,0.00035334684,0.000043259417,0.0002015446,0.00011740937,0.000014978816],"category_scores_gemma":[0.00054690253,0.000083595674,0.000036436486,0.0002543464,0.00011427947,0.00012118691,0.0002583481,0.0006563654,0.0000024136061],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007167547,0.00006922723,0.002450764,0.000010373434,0.000005669219,0.0000018098822,0.000090224166,0.0004247272,0.9931671,0.0033380806,0.000034779237,0.00040009874],"study_design_scores_gemma":[0.00027085553,0.000020896014,0.0017676692,0.000018068802,0.000030159634,0.000041031475,0.00009209747,0.749444,0.24708757,0.00010009589,0.0010267012,0.0001008546],"about_ca_topic_score_codex":0.000021571828,"about_ca_topic_score_gemma":0.00008340368,"teacher_disagreement_score":0.74901927,"about_ca_system_score_codex":0.000029655474,"about_ca_system_score_gemma":0.00002949558,"threshold_uncertainty_score":0.34089327},"labels":[],"label_agreement":null},{"id":"W3207785520","doi":"10.1101/2021.10.12.464109","title":"Aperiodic EEG activity masks the dynamics of neural oscillations during loss of consciousness from propofol","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electroencephalography; Propofol; Rhythm; Aperiodic graph; Consciousness; Neural activity; Psychology; Asynchronous communication; Neuroscience; Brain activity and meditation; Audiology; Computer science; Physics; Mathematics; Anesthesia; Medicine; Acoustics","score_opus":0.015341237084707833,"score_gpt":0.21935328890112782,"score_spread":0.20401205181642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207785520","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99494714,0.00010310078,0.00077382725,0.00050217257,0.0017081561,0.000782892,0.001041823,0.00013342453,0.0000074937648],"genre_scores_gemma":[0.9993667,0.000101006684,0.00018209733,0.000072640076,0.00011802145,0.000071978764,9.1535924e-7,0.00007919612,0.0000074182567],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9969185,0.00037891214,0.0006242526,0.0010476006,0.00061479927,0.00041594025],"domain_scores_gemma":[0.99674237,0.00034438577,0.00091810664,0.0014681525,0.00040171915,0.00012529727],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026715762,0.00046458884,0.0006668791,0.00017798448,0.00033315484,0.00020129696,0.0007457568,0.0003544982,0.000046237186],"category_scores_gemma":[0.0006397056,0.0004038851,0.0002695767,0.0007388058,0.00060223846,0.00022489917,0.0008454556,0.0008776348,0.0000038262506],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053341144,0.00014731455,0.0111554,0.00029739217,0.000048086702,0.000040476243,0.000022520117,0.0010194994,0.98660344,0.0006056106,0.0000025466327,0.000004361711],"study_design_scores_gemma":[0.00037886447,0.000036371413,0.2720125,0.00024026736,0.00011592969,1.0110472e-7,0.000011012411,0.04257877,0.6841644,0.0000070540727,0.000015179237,0.000439563],"about_ca_topic_score_codex":0.00028792265,"about_ca_topic_score_gemma":0.000058545225,"teacher_disagreement_score":0.30243906,"about_ca_system_score_codex":0.0002391994,"about_ca_system_score_gemma":0.0004781078,"threshold_uncertainty_score":0.9998413},"labels":[],"label_agreement":null},{"id":"W3207860700","doi":"10.1016/j.neuroimage.2021.118628","title":"Over the rainbow: Guidelines for meaningful use of colour maps in neurophysiology","year":2021,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Office of Naval Research; National Institute of Biomedical Imaging and Bioengineering; Australian Research Council; Canada First Research Excellence Fund; Health Canada; National Institutes of Health; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada; McGill University","keywords":"Neurophysiology; Rainbow; Context (archaeology); Computer science; Visualization; Perception; Interpretation (philosophy); Data science; Neuroscience; Psychology; Artificial intelligence; Geography","score_opus":0.14300915900645048,"score_gpt":0.3307953298215266,"score_spread":0.18778617081507612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207860700","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946687,0.0000082248835,0.000105987965,0.0039451793,0.0007323939,0.00027645053,0.00006916042,0.000026701815,0.00016716673],"genre_scores_gemma":[0.97980356,0.0000714731,0.00034399255,0.017987583,0.000113295064,0.000026121219,0.000009102339,0.000033094035,0.0016117803],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99866056,0.00023341051,0.00031998544,0.00041255602,0.00014947586,0.00022402049],"domain_scores_gemma":[0.9982786,0.0010743466,0.00011661595,0.00034557132,0.00015681173,0.000028055236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000103114806,0.00011966987,0.00017962762,0.000054270735,0.00008010947,0.00004603815,0.00019079975,0.0000394486,0.00002591145],"category_scores_gemma":[0.005516599,0.00008786219,0.00010080004,0.0003393393,0.00009758344,0.0001413545,0.00012977708,0.00015632356,0.0000056680005],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000605609,0.00004731781,0.00019403311,0.000014231742,0.0000010495406,0.000064369764,0.000021924225,0.00057924504,0.9902342,0.0022023893,0.0057856296,0.00079507206],"study_design_scores_gemma":[0.0027271037,0.0008710366,0.12219293,0.000053853615,0.000040457922,0.00019377176,0.00005444149,0.1345691,0.5019395,0.009359234,0.22743207,0.0005665072],"about_ca_topic_score_codex":0.000019325891,"about_ca_topic_score_gemma":0.000022400163,"teacher_disagreement_score":0.48829466,"about_ca_system_score_codex":0.000009116241,"about_ca_system_score_gemma":0.00003978271,"threshold_uncertainty_score":0.6604283},"labels":[],"label_agreement":null},{"id":"W3208303006","doi":"10.1101/2021.10.18.464855","title":"Estimating null and potent modes of feedforward communication in a computational model of cortical activity","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Feed forward; Null (SQL); Null model; Neuroscience; Feedforward neural network; Computer science; Artificial neural network; Artificial intelligence; Mathematics; Biology; Data mining","score_opus":0.03194108710512721,"score_gpt":0.2472824681086195,"score_spread":0.2153413810034923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208303006","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9638274,0.000051303992,0.035470076,0.0001375939,0.000095516334,0.00028480118,0.000093300856,0.000035600828,0.0000044290573],"genre_scores_gemma":[0.96500266,0.000049737268,0.034835044,0.000047121095,0.000010579344,0.000027551656,3.0625725e-7,0.000026614176,4.0555906e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983349,0.00021367324,0.0004492764,0.0005044176,0.0003165967,0.00018112327],"domain_scores_gemma":[0.99852604,0.00025822973,0.00043258673,0.00049025984,0.00022089436,0.000071980096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036216728,0.00020885012,0.0004123761,0.0001615509,0.00007489225,0.000062182306,0.00023531677,0.00018062448,0.0000022058991],"category_scores_gemma":[0.0005562722,0.00023062697,0.00007073984,0.0002643204,0.00018936601,0.00016116894,0.0005023405,0.0005121139,3.5079623e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027038077,0.00014895936,0.0012227538,0.00025243696,0.0000074038862,0.0000026248497,0.000012088295,0.249859,0.74667287,0.0017887194,7.0181534e-7,0.000005407364],"study_design_scores_gemma":[0.00020526559,0.00002013662,0.03203711,0.00026836296,0.000017175296,1.799766e-8,0.0000018709092,0.7617713,0.20548567,0.000049340637,1.7080926e-7,0.00014354048],"about_ca_topic_score_codex":0.0000558751,"about_ca_topic_score_gemma":0.0000033564922,"teacher_disagreement_score":0.54118717,"about_ca_system_score_codex":0.00008836289,"about_ca_system_score_gemma":0.00024630132,"threshold_uncertainty_score":0.9404695},"labels":[],"label_agreement":null},{"id":"W3208657838","doi":"10.1016/j.neuroimage.2021.118670","title":"Age‐related trends in the cortical sources of transient beta bursts during a sensorimotor task and rest","year":2021,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Biotechnology and Biological Sciences Research Council; Medical Research Council; Dalhousie University; Natural Sciences and Engineering Research Council of Canada; University of Cambridge","keywords":"Neurophysiology; Neuroscience; BETA (programming language); Population; Electroencephalography; Computer science; Psychology; Medicine","score_opus":0.024378828459950017,"score_gpt":0.252384899851505,"score_spread":0.22800607139155496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208657838","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967964,0.000021868851,0.0000035464254,0.0015824771,0.00014501724,0.00007864695,0.000015627274,0.000022591372,0.0013337694],"genre_scores_gemma":[0.9991158,0.000035154313,0.000008527102,0.00033916833,0.000020158517,0.0000032693454,0.0000028801123,0.000011873364,0.000463155],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99870145,0.0002896467,0.00022566486,0.0003614299,0.00022843186,0.00019337586],"domain_scores_gemma":[0.9994353,0.00023542393,0.00004900898,0.00022408465,0.000013596078,0.000042606698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010073292,0.000104035214,0.00014306506,0.000089703906,0.000095304415,0.000052986336,0.000108751476,0.000039230068,0.000022679431],"category_scores_gemma":[0.00016468116,0.000078346995,0.00005605164,0.00048853096,0.00015891869,0.0000781322,0.000041575415,0.00027941877,0.0000025102838],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032381173,0.000089322995,0.0011551848,0.000017121043,0.0000013582992,0.0016194292,0.0004415057,0.000030032843,0.99533665,0.00036255282,0.00001987566,0.0008946062],"study_design_scores_gemma":[0.00075596373,0.00014801852,0.88282794,0.000020236725,0.000019820678,0.0006028512,0.00007679735,0.002086544,0.112784445,0.00008717286,0.0004631892,0.00012705177],"about_ca_topic_score_codex":0.000009281396,"about_ca_topic_score_gemma":0.000020054194,"teacher_disagreement_score":0.8825522,"about_ca_system_score_codex":0.000006948465,"about_ca_system_score_gemma":0.000008131542,"threshold_uncertainty_score":0.31948975},"labels":[],"label_agreement":null},{"id":"W3208940149","doi":"10.1101/2021.10.26.466004","title":"Expectation violations enhance neuronal encoding of sensory information in mouse primary visual cortex","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Centre of Excellence for Integrative Brain Function, Australian Research Council; Nvidia; Australian Research Council; Canadian Institute for Advanced Research; Medical Research Council; National Health and Medical Research Council","keywords":"Visual cortex; Neuroscience; Calcium imaging; Sensory system; Stimulus (psychology); Population; Predictability; Psychology; Surround suppression; Visual perception; Cognitive psychology; Physics; Chemistry; Medicine; Perception; Calcium","score_opus":0.015633035109148808,"score_gpt":0.23690626439389809,"score_spread":0.22127322928474927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208940149","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952464,0.000032733737,0.0028778783,0.000060212282,0.00096848153,0.00051356934,0.00013115238,0.00014628055,0.000023306397],"genre_scores_gemma":[0.9985849,0.00016624464,0.000690618,0.00032639335,0.000098230295,0.00008322252,0.0000027039357,0.00004178977,0.0000058422615],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974868,0.00023397249,0.00079771795,0.0006487532,0.00050671265,0.00032603013],"domain_scores_gemma":[0.9982253,0.00019980028,0.0006882317,0.0004892002,0.00029959285,0.00009791998],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002696456,0.00033424376,0.00040058416,0.00047581163,0.00011871794,0.00018393538,0.0002610768,0.00027690863,0.000022608741],"category_scores_gemma":[0.00069717463,0.00039839908,0.0001182164,0.0006309043,0.0000861826,0.00089482276,0.0002853236,0.000657245,0.000013594132],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031273103,0.00011353713,0.0016910123,0.0002415481,0.000006542133,0.000012424355,0.000039755036,0.0011523941,0.9965072,0.00018981582,0.000006187995,0.00000830738],"study_design_scores_gemma":[0.00024838018,0.000044290595,0.14482386,0.00017595984,0.000014559858,3.0301248e-8,0.000010240012,0.015064662,0.83922035,0.000001117542,0.000046239533,0.00035032246],"about_ca_topic_score_codex":0.00003162592,"about_ca_topic_score_gemma":0.0000037877658,"teacher_disagreement_score":0.15728687,"about_ca_system_score_codex":0.00027266899,"about_ca_system_score_gemma":0.0004233912,"threshold_uncertainty_score":0.9998468},"labels":[],"label_agreement":null},{"id":"W3209275847","doi":"","title":"Synaptic mechanisms underlying direction selectivity in starburst amacrine cell dendrites","year":2019,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Amacrine cell; Neuroscience; Selectivity; Chemistry; Biology; Retina; Biochemistry","score_opus":0.05029246011540569,"score_gpt":0.3200740686330548,"score_spread":0.26978160851764915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209275847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99510545,0.000010585919,0.00004289592,0.00021384521,0.00094341073,0.0004703239,0.0000039653605,0.00008324951,0.003126256],"genre_scores_gemma":[0.9988169,0.000003291702,0.0003624502,0.00034906386,0.000014964335,0.000030330371,0.0000015478981,0.000019262108,0.00040217038],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9969791,0.0003679293,0.0002875201,0.001155094,0.00051003334,0.00070029736],"domain_scores_gemma":[0.9987685,0.00053233275,0.00018301795,0.00023495048,0.000087351626,0.00019383198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008035122,0.00025351098,0.0002781602,0.00042067247,0.0003785076,0.00010770521,0.00045026178,0.000102248305,0.00011720763],"category_scores_gemma":[0.000871661,0.00023814553,0.00004983948,0.0023581123,0.0013298475,0.00086265896,0.00023065058,0.00044792288,0.00017132077],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018672037,0.00012542175,0.012745423,0.000014745064,0.0000019681036,0.0000829044,0.00014712242,0.0003237626,0.9847198,0.0016997877,0.0000017460118,0.00011861488],"study_design_scores_gemma":[0.0002982511,0.00083794823,0.08645957,0.0000294363,0.0000047563417,0.00020563057,0.000110183595,0.026318109,0.86095923,0.024500083,0.0000043488058,0.00027242204],"about_ca_topic_score_codex":0.00020585752,"about_ca_topic_score_gemma":0.000021360185,"teacher_disagreement_score":0.12376057,"about_ca_system_score_codex":0.00032425273,"about_ca_system_score_gemma":0.00022128526,"threshold_uncertainty_score":0.9711293},"labels":[],"label_agreement":null},{"id":"W3209706103","doi":"10.1101/2021.10.29.21265658","title":"Synchrony-Division Neural Multiplexing: An Encoding Model","year":2021,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children; Toronto Rehabilitation Institute; University of Toronto; University Health Network","funders":"","keywords":"Asynchronous communication; Computer science; Multiplexing; ENCODE; Homogeneous; Stimulus (psychology); Cascade; Neural coding; Sensory system; Neural decoding; Nonlinear system; Neural ensemble; Neuroscience; Artificial intelligence; Decoding methods; Algorithm; Mathematics; Physics; Biology; Psychology; Telecommunications; Chemistry","score_opus":0.08496368650969233,"score_gpt":0.30466276705148726,"score_spread":0.21969908054179493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209706103","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.986053,0.000045031433,0.009546988,0.00039893558,0.0025399954,0.00033019172,0.00004158253,0.00029894797,0.0007453264],"genre_scores_gemma":[0.9975207,0.0000687443,0.0007495865,0.00079063256,0.00022475897,0.00002240301,0.00007565448,0.00007120063,0.00047634655],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99677604,0.00028506058,0.00042890903,0.0014578268,0.0005813582,0.00047077957],"domain_scores_gemma":[0.99834484,0.0001742063,0.00023951498,0.0009509724,0.000077532815,0.00021295165],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030990102,0.00041836424,0.00039511907,0.00016837138,0.00028344794,0.0004114122,0.00069120096,0.0002893139,0.000066984845],"category_scores_gemma":[0.00068412675,0.00039519713,0.0002342834,0.0002136949,0.000090841146,0.00036767294,0.0011186547,0.0010311999,0.000019154915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013680079,0.000104258426,0.0016754468,0.000084145686,0.0000037505438,0.0001152551,0.00023252577,0.2986136,0.69576114,0.00035597116,0.000026383446,0.0030138402],"study_design_scores_gemma":[0.00017555736,0.00005195194,0.0016194145,0.00009485963,0.000012990142,0.000019100335,0.000025337435,0.94909966,0.04760961,0.00084016233,0.000048939037,0.00040244334],"about_ca_topic_score_codex":0.000038962702,"about_ca_topic_score_gemma":0.000020850588,"teacher_disagreement_score":0.650486,"about_ca_system_score_codex":0.00009703485,"about_ca_system_score_gemma":0.000105301435,"threshold_uncertainty_score":0.99985},"labels":[],"label_agreement":null},{"id":"W3210081606","doi":"10.1088/2632-072x/ac35b4","title":"Deconstructing scale-free neuronal avalanches: behavioral transitions and neuronal response","year":2021,"lang":"en","type":"article","venue":"Journal of Physics Complexity","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hotchkiss Brain Institute; University of Lethbridge; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Branch Out Neurological Foundation; Alberta Innovates - Technology Futures","keywords":"Neuroscience; Population; Sensory system; Psychology; Prefrontal cortex; Resting state fMRI; Hippocampus; Mnemonic; Cognition; Cognitive psychology","score_opus":0.0820344537536763,"score_gpt":0.29736640798026426,"score_spread":0.21533195422658796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210081606","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953471,0.0000120525465,0.0020813309,0.0017537917,0.0005406238,0.000049378395,0.000083315725,0.00001681934,0.00011563103],"genre_scores_gemma":[0.99676406,0.000011701267,0.0023302415,0.00057088357,0.00027054377,7.725448e-7,0.0000022909442,0.000015461046,0.000034041408],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984452,0.00037188304,0.00036533026,0.0002429519,0.00037005998,0.00020457868],"domain_scores_gemma":[0.99889195,0.00035156435,0.0002572456,0.00020430282,0.00015330632,0.00014164486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023604523,0.00013991025,0.00024083718,0.000055122673,0.00026538566,0.00010794616,0.00019473233,0.000034384462,0.00004333444],"category_scores_gemma":[0.00023837326,0.00013577704,0.00016660622,0.00023286122,0.00027428564,0.00037176817,0.00009942406,0.00045499398,0.000002456207],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003758246,0.0002688282,0.0014219291,0.000013841839,0.000006265099,0.00016465115,0.00018078006,0.00009979429,0.98436934,0.005277135,0.00011435676,0.0077072303],"study_design_scores_gemma":[0.0054725213,0.0018532176,0.28579393,0.00020302148,0.00024130307,0.011320261,0.0005885094,0.01646164,0.45722404,0.21832348,0.0015923205,0.0009257343],"about_ca_topic_score_codex":0.0000024413187,"about_ca_topic_score_gemma":0.0000094138795,"teacher_disagreement_score":0.5271453,"about_ca_system_score_codex":0.000032712425,"about_ca_system_score_gemma":0.00013402922,"threshold_uncertainty_score":0.5536827},"labels":[],"label_agreement":null},{"id":"W3210323664","doi":"10.1523/eneuro.0241-21.2021","title":"Accurate Localization of Linear Probe Electrode Arrays across Multiple Brains","year":2021,"lang":"en","type":"article","venue":"eNeuro","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; Canadian Institutes of Health Research; Searle Scholars Program; Howard Hughes Medical Institute; Robert and Janice McNair Foundation; Simons Foundation; Hospital for Sick Children; Wellcome Trust; National Institutes of Health; Government of Canada; Pew Charitable Trusts","keywords":"Electrode; Workflow; Electrophysiology; Computer science; Electrode array; Biomedical engineering; Semi automatic; Microscopy; Neuroscience; Artificial intelligence; Computer vision; Pattern recognition (psychology); Materials science; Physics; Optics; Biology; Medicine","score_opus":0.032060949871428525,"score_gpt":0.2853835032359093,"score_spread":0.25332255336448073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210323664","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9162613,0.000014492534,0.08170857,0.0005962049,0.0005605896,0.0001738996,0.000044209963,0.00009944164,0.00054126006],"genre_scores_gemma":[0.99698055,0.000046547477,0.00016716322,0.0016764081,0.00008235261,0.0000071337163,0.000019188215,0.000022350414,0.0009983305],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99886113,0.00011497871,0.00020850437,0.00036998952,0.00019920128,0.000246164],"domain_scores_gemma":[0.9993223,0.00019909386,0.00010379531,0.00024715517,0.000079371996,0.000048272854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007706626,0.00010721975,0.00012583986,0.000026427278,0.00015037034,0.000035368255,0.00012353208,0.00004554695,0.000029407836],"category_scores_gemma":[0.0014389586,0.00010213011,0.00006170915,0.00044552257,0.00004989258,0.00014535816,0.00007083022,0.00012925036,0.000021407315],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023661314,0.00007701765,0.000539777,0.000019788458,0.0000015594179,0.000027622524,0.00011543387,0.008654828,0.9889237,0.00067884644,0.00013454845,0.00080316776],"study_design_scores_gemma":[0.00026733574,0.000072291776,0.00058406324,0.0000077620725,0.0000029120763,0.000024049554,0.000012032012,0.14087117,0.851369,0.0002784652,0.006418273,0.00009259386],"about_ca_topic_score_codex":0.000007475607,"about_ca_topic_score_gemma":0.000037924605,"teacher_disagreement_score":0.1375547,"about_ca_system_score_codex":0.000014403466,"about_ca_system_score_gemma":0.00004309473,"threshold_uncertainty_score":0.4164745},"labels":[],"label_agreement":null},{"id":"W3210460317","doi":"10.1101/2021.10.21.465374","title":"Neural knowledge assembly in humans and deep networks","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Artificial neural network; Computer science; Dorsum; Transitive relation; Cognitive science; Artificial intelligence; Psychology; Biology; Mathematics","score_opus":0.0205678036023697,"score_gpt":0.2344261704607087,"score_spread":0.213858366858339,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210460317","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941954,0.0013578319,0.0009928762,0.00016002364,0.0025180755,0.0004877289,0.000020636508,0.00022879298,0.00003864225],"genre_scores_gemma":[0.99805975,0.0006584754,0.00020720463,0.00048113798,0.00037744347,0.00009953086,2.5036582e-7,0.000103353144,0.000012877837],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99680144,0.00033396832,0.0004931964,0.0014899437,0.0002539815,0.00062750373],"domain_scores_gemma":[0.9983496,0.00020134449,0.00024610045,0.0008358313,0.00014467718,0.00022245354],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003841032,0.0005189516,0.0005339469,0.00028070653,0.00019272631,0.00053505064,0.00043773607,0.00048322743,0.000026338968],"category_scores_gemma":[0.00039902588,0.00056512724,0.00012209306,0.00069284695,0.00013414203,0.00025084827,0.00084713456,0.0012497946,0.000011428667],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002308572,0.00020199298,0.0080414815,0.00021510449,0.000014228455,0.00030435593,0.000019109577,0.0015180929,0.98856187,0.001027882,0.00005218157,0.000020589794],"study_design_scores_gemma":[0.0013123298,0.00015266817,0.44913882,0.00071190484,0.00009886188,1.833957e-7,0.000009621866,0.39717945,0.14746656,0.0000068662753,0.0017225341,0.0022002114],"about_ca_topic_score_codex":0.000033928867,"about_ca_topic_score_gemma":0.000055788543,"teacher_disagreement_score":0.8410953,"about_ca_system_score_codex":0.00017430422,"about_ca_system_score_gemma":0.000167076,"threshold_uncertainty_score":0.99968004},"labels":[],"label_agreement":null},{"id":"W3210796687","doi":"10.3389/fnins.2021.783674","title":"Editorial: The Contrast Sensitivity Function: From Laboratory to Clinic","year":2021,"lang":"en","type":"editorial","venue":"Frontiers in Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Eye Institute; National Natural Science Foundation of China","keywords":"Contrast (vision); Sensitivity (control systems); Function (biology); Perception; Psychology; Medicine; Neuroscience; Computer science; Biology; Artificial intelligence; Engineering","score_opus":0.012575797665605078,"score_gpt":0.2535872124568332,"score_spread":0.24101141479122812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210796687","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011345407,0.00008729449,0.0036097702,0.0008079415,0.9923209,0.0005797594,0.0010969971,0.00012434623,0.00023844435],"genre_scores_gemma":[0.0029676948,0.00029658992,0.000106094936,0.0043284385,0.9906958,0.000072107905,0.0000458966,0.000072580544,0.0014148208],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9928661,0.0013008135,0.00063847925,0.0022554672,0.0021591,0.00078002433],"domain_scores_gemma":[0.99500513,0.0029571024,0.0003570091,0.0011411433,0.00028006124,0.00025953545],"candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001379578,0.00053325243,0.0006844948,0.00024307924,0.0005313927,0.0006015245,0.0010488025,0.0006650011,0.000026121661],"category_scores_gemma":[0.018730117,0.00043847878,0.00018187301,0.0021173356,0.00053455296,0.0004202478,0.00048039714,0.0023067878,0.00006720448],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012966363,0.00007131925,0.0000836136,0.000009442235,0.00000201835,0.00010258426,0.000036823225,0.00008474613,0.053400613,0.000012451407,0.945569,0.0004977187],"study_design_scores_gemma":[0.0003670822,0.00018055782,0.00034400774,0.00006954036,0.000026172982,0.0000012857623,0.000041895717,0.0009616867,0.0012189395,0.00023943992,0.9960926,0.00045679073],"about_ca_topic_score_codex":0.00010527005,"about_ca_topic_score_gemma":0.00011887043,"teacher_disagreement_score":0.052181672,"about_ca_system_score_codex":0.0002438272,"about_ca_system_score_gemma":0.0008251875,"threshold_uncertainty_score":0.99999493},"labels":[],"label_agreement":null},{"id":"W3210815168","doi":"10.3389/fnsys.2021.697129","title":"Consciousness as a Product of Evolution: Contents, Selector Circuits, and Trajectories in Experience Space","year":2021,"lang":"en","type":"article","venue":"Frontiers in Systems Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Qualia; Consciousness; Space (punctuation); Computer science; Premise; Simple (philosophy); Cognitive science; Product (mathematics); Perspective (graphical); Psychology; Mathematics; Artificial intelligence; Epistemology; Philosophy; Geometry; Neuroscience","score_opus":0.02236020933110474,"score_gpt":0.24187627536011694,"score_spread":0.2195160660290122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210815168","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99008,0.00096147123,0.002139305,0.00018796434,0.0058341995,0.00048014623,0.00001640711,0.000036963243,0.00026353882],"genre_scores_gemma":[0.9988557,0.00013979938,0.00005091239,0.00013312942,0.0000372957,0.00005460878,5.7251503e-7,0.000013597589,0.0007143936],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9973025,0.00034301303,0.00045387843,0.0009874448,0.0004906204,0.00042256207],"domain_scores_gemma":[0.99917,0.00011196717,0.00018320647,0.00034566637,0.00009294728,0.0000961825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025782542,0.00019237053,0.0003896769,0.00024960603,0.00012658456,0.00010110423,0.00030780773,0.000057383437,0.0000019244899],"category_scores_gemma":[0.0020742894,0.00018988425,0.000034820052,0.0019523385,0.00072770484,0.0004908845,0.00009682632,0.0002087125,9.363888e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002153513,0.000082441846,0.14300105,0.00008685488,5.00707e-7,0.00013627295,0.0008060975,0.00022289414,0.85208565,0.0032447418,0.000115640985,0.00019631728],"study_design_scores_gemma":[0.002670955,0.0005524877,0.26880655,0.0007265216,0.000014433969,0.0017404659,0.009436691,0.039998997,0.6693558,0.0011761874,0.0042760894,0.0012448262],"about_ca_topic_score_codex":0.00023506557,"about_ca_topic_score_gemma":0.000050062405,"teacher_disagreement_score":0.18272986,"about_ca_system_score_codex":0.00012343096,"about_ca_system_score_gemma":0.00019113322,"threshold_uncertainty_score":0.7743255},"labels":[],"label_agreement":null},{"id":"W3211537379","doi":"10.3389/fmed.2021.752021","title":"Brief Postnatal Visual Deprivation Triggers Long-Lasting Interactive Structural and Functional Reorganization of the Human Cortex","year":2021,"lang":"en","type":"article","venue":"Frontiers in Medicine","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Hospital for Sick Children","funders":"Fundamental Research Funds for the Central Universities; Zhejiang University; Fonds Wetenschappelijk Onderzoek; Fonds De La Recherche Scientifique - FNRS","keywords":"Visual cortex; Neuroscience; Cortex (anatomy); Sensory deprivation; Psychology; Cataracts; Sensory system; Medicine; Ophthalmology","score_opus":0.013058406322010923,"score_gpt":0.26045457145388234,"score_spread":0.24739616513187143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211537379","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909334,0.00004267956,0.006227763,0.00061854295,0.0018817197,0.00011728002,0.0000039478614,0.00001227379,0.00016238265],"genre_scores_gemma":[0.99911976,0.000012810205,0.0001037244,0.00040454214,0.00011643967,0.0000015063464,0.000032152497,0.000009217403,0.00019983466],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990407,0.00010558572,0.00023711183,0.0002546581,0.00025868547,0.000103232844],"domain_scores_gemma":[0.99953437,0.000104964805,0.00015539161,0.00009530866,0.00008250377,0.0000274704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010905474,0.00008657678,0.00015584451,0.000092157956,0.00013160922,0.000012244137,0.00006172458,0.00004072965,0.000048230908],"category_scores_gemma":[0.0012618003,0.000063166575,0.000019370284,0.00048759498,0.00018906081,0.00016644226,0.000061010192,0.0001814862,1.9493395e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008058066,0.000023785044,0.1958435,0.000028261627,0.000009567037,0.000022411172,0.00042434817,0.00009884486,0.79845124,0.0008745764,0.00071388046,0.0034290317],"study_design_scores_gemma":[0.0010250519,0.00009719038,0.91194266,0.00010149465,0.000018702398,0.00009014956,0.000461925,0.01642316,0.06877626,0.0009474934,0.000032165175,0.00008372261],"about_ca_topic_score_codex":0.000022358829,"about_ca_topic_score_gemma":0.000016187361,"teacher_disagreement_score":0.72967494,"about_ca_system_score_codex":0.000063221225,"about_ca_system_score_gemma":0.000029312783,"threshold_uncertainty_score":0.25758582},"labels":[],"label_agreement":null},{"id":"W3212572250","doi":"10.1098/rsta.2021.0246","title":"Greater than the parts: a review of the information decomposition approach to causal emergence","year":2022,"lang":"en","type":"review","venue":"Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Gates Cambridge Trust; Wellcome Trust","keywords":"Rotation formalisms in three dimensions; Epistemology; Formalism (music); Consciousness; Computer science; Cognitive science; Management science; Data science; Sociology; Psychology; Engineering; Philosophy; Mathematics","score_opus":0.05652675628420044,"score_gpt":0.28752974966200334,"score_spread":0.2310029933778029,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212572250","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0053091603,0.7089202,0.19344924,0.056728944,0.004975849,0.020391468,0.0014484455,0.00057985925,0.008196854],"genre_scores_gemma":[0.15910086,0.83718675,0.0010015139,0.0013861888,0.0002856237,0.0009030951,0.000006609523,0.00005109502,0.00007824877],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982441,0.00014704626,0.0004759576,0.00025974354,0.0006718843,0.00020126764],"domain_scores_gemma":[0.9988498,0.0005490153,0.00019727672,0.00031943325,0.000020978636,0.00006347197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040565646,0.00023117896,0.00056019495,0.000023354467,0.0005126393,0.00003745394,0.000788466,0.000059340084,0.000024789751],"category_scores_gemma":[0.0002047731,0.00009956516,0.0008344804,0.0009843706,0.00047788746,0.00013315275,0.00013048059,0.000503912,0.0000025236125],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031809133,0.0025029802,0.0000017208606,0.33624157,0.000500423,6.2565766e-7,0.0045823245,0.08784721,0.00055074116,0.40787992,0.00073649595,0.15912417],"study_design_scores_gemma":[0.00044121832,0.00088844314,0.000061746825,0.0605178,0.0036137407,0.00018029382,0.0001894475,0.7287799,0.0004942431,0.093598016,0.109222166,0.0020129918],"about_ca_topic_score_codex":0.000003823819,"about_ca_topic_score_gemma":3.7340623e-8,"teacher_disagreement_score":0.6409327,"about_ca_system_score_codex":0.000028215392,"about_ca_system_score_gemma":0.0000392879,"threshold_uncertainty_score":0.40601495},"labels":[],"label_agreement":null},{"id":"W3213171382","doi":"10.1016/j.pneurobio.2021.102186","title":"The functional characterization of callosal connections","year":2021,"lang":"en","type":"review","venue":"Progress in Neurobiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; McGill University; Montreal Neurological Institute and Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Max-Planck-Gesellschaft; Istituto Italiano di Tecnologia; Centre National de la Recherche Scientifique; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; École Polytechnique Fédérale de Lausanne","keywords":"Neuroscience; Corpus callosum; Excitatory postsynaptic potential; Functional connectivity; Inhibitory postsynaptic potential; Psychology; Computer science; Biology","score_opus":0.06961301187282623,"score_gpt":0.32694628572920975,"score_spread":0.2573332738563835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213171382","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021061804,0.99229133,0.000032852404,0.00026047765,0.0043083117,0.00074267783,0.00011977907,0.00004801578,0.00009037712],"genre_scores_gemma":[0.0010679136,0.9980671,0.0000035156472,0.000077703786,0.00012967805,0.00023052421,0.00020730279,0.000027102758,0.00018917458],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.997792,0.00078223756,0.0005737188,0.00050117157,0.00009947848,0.0002514152],"domain_scores_gemma":[0.9982282,0.00097603654,0.0004384604,0.00028031346,0.000049792732,0.000027196123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015994647,0.00021762194,0.00065836636,0.00013701647,0.00015297871,0.0000359478,0.00025406975,0.00020776354,0.00002807345],"category_scores_gemma":[0.0003596088,0.00014347129,0.00021374205,0.0005551503,0.00033821803,0.00004864588,0.00014784164,0.00044347203,0.000012171188],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013196831,0.00011531036,0.00010115175,0.00081075885,0.000014978456,0.00002225264,0.0000051747606,0.0000013534776,0.0015027667,0.016963754,0.000037966423,0.98041135],"study_design_scores_gemma":[0.00010421607,0.00009602638,0.00022818806,0.0007043652,0.000049255705,0.00020452836,0.0000011680545,0.00006936211,0.0001673603,0.00006316168,0.9981486,0.00016372226],"about_ca_topic_score_codex":7.93777e-7,"about_ca_topic_score_gemma":0.0000054966326,"teacher_disagreement_score":0.99811065,"about_ca_system_score_codex":0.000033727258,"about_ca_system_score_gemma":0.00013332785,"threshold_uncertainty_score":0.5850589},"labels":[],"label_agreement":null},{"id":"W3213218947","doi":"10.1111/ejn.15535","title":"Low‐beta repetitive transcranial magnetic stimulation to human dorsolateral prefrontal cortex during object recognition memory sample presentation, at a task‐related frequency observed in local field potentials in homologous macaque cortex, impairs subsequent recollection but not familiarity","year":2021,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Biotechnology and Biological Sciences Research Council; Medical Research Council; Wellcome Trust","keywords":"Transcranial magnetic stimulation; Macaque; Dorsolateral prefrontal cortex; Neuroscience; Working memory; Prefrontal cortex; Psychology; Task (project management); Posterior parietal cortex; Local field potential; Stimulation; Cognition","score_opus":0.030205028763194013,"score_gpt":0.2488602827370417,"score_spread":0.2186552539738477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213218947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99572647,0.000010877929,0.0017439972,0.00027636343,0.0014017287,0.0005569123,0.000060616894,0.000037275455,0.00018577743],"genre_scores_gemma":[0.998828,0.00006088037,0.0001503156,0.00053486833,0.00007280464,0.000007575741,0.000015950083,0.000034642937,0.0002949834],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9950453,0.0018043721,0.0012447918,0.0008295848,0.00059990666,0.00047605243],"domain_scores_gemma":[0.9986032,0.00027267833,0.0004863892,0.00024134177,0.00019549146,0.00020089505],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00070067507,0.00027556563,0.00035868346,0.0004655458,0.00037310788,0.00015620848,0.00034243398,0.00007609904,0.000103036924],"category_scores_gemma":[0.0011423195,0.00028577843,0.00016862998,0.0012406226,0.00015313289,0.0007327736,0.000115005074,0.0006545501,0.000010700477],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050538476,0.00024896153,0.0032437767,0.000027294438,0.0000019772465,0.0031266771,0.0005653162,0.004394396,0.9865771,0.000004841112,0.000005199963,0.0012990575],"study_design_scores_gemma":[0.0017114106,0.0017341491,0.7569659,0.0001440694,0.000017353235,0.0009654509,0.000074618336,0.004729731,0.23325446,0.00016741372,0.0000017647425,0.00023371764],"about_ca_topic_score_codex":0.00033720554,"about_ca_topic_score_gemma":0.0010413292,"teacher_disagreement_score":0.7537221,"about_ca_system_score_codex":0.00041938407,"about_ca_system_score_gemma":0.00013237102,"threshold_uncertainty_score":0.9999594},"labels":[],"label_agreement":null},{"id":"W3213347133","doi":"10.1371/journal.pcbi.1009478","title":"Self-organization of a doubly asynchronous irregular network state for spikes and bursts","year":2021,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Einstein Stiftung Berlin","keywords":"Neuroscience; Asynchronous communication; Inhibitory postsynaptic potential; Computer science; Network model; Mechanism (biology); Dendrite (mathematics); State (computer science); Physics; Biology; Artificial intelligence; Computer network; Algorithm; Mathematics","score_opus":0.01689135128961038,"score_gpt":0.23608572351954515,"score_spread":0.21919437222993476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213347133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9329154,0.00006366607,0.06578633,0.00065233355,0.0002310374,0.00020167409,0.000053408537,0.000048863363,0.00004731835],"genre_scores_gemma":[0.9902399,0.000029004214,0.009025008,0.0004428427,0.000077150224,0.000007366745,0.0001410913,0.000010443674,0.000027195052],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993185,0.000067927474,0.00016358487,0.0002568497,0.00006531098,0.00012787184],"domain_scores_gemma":[0.9991906,0.0004453082,0.00009371245,0.000057676534,0.00018405494,0.000028638273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000050942974,0.0000732164,0.00012722907,0.00003227818,0.00009467592,0.000016582022,0.00004931339,0.00004089746,0.000010927685],"category_scores_gemma":[0.00018704664,0.00006979192,0.000021721156,0.00021000685,0.000059253824,0.000048308895,0.000044204335,0.000037729467,0.0000028464183],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009506614,0.00041458706,0.019194659,0.00023065408,0.0000674886,0.000013981161,0.00027568697,0.10160707,0.719454,0.15147454,0.0003014728,0.006870816],"study_design_scores_gemma":[0.0021161903,0.000792214,0.03096197,0.000043684606,0.00006897603,0.000150657,0.000016623862,0.5294016,0.1888256,0.24530768,0.0018602781,0.00045451504],"about_ca_topic_score_codex":0.0000011091626,"about_ca_topic_score_gemma":0.0000015667007,"teacher_disagreement_score":0.5306284,"about_ca_system_score_codex":0.000014941705,"about_ca_system_score_gemma":0.000058360267,"threshold_uncertainty_score":0.28460318},"labels":[],"label_agreement":null},{"id":"W3213601708","doi":"10.3390/e23111494","title":"Hidden Hypergraphs, Error-Correcting Codes, and Critical Learning in Hopfield Networks","year":2021,"lang":"en","type":"article","venue":"Entropy","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Hopfield network; Theoretical computer science; Artificial neural network; Scalability; Artificial intelligence; Attractor; Cluster analysis; Algorithm; Mathematics","score_opus":0.018728807075106362,"score_gpt":0.2631696631738873,"score_spread":0.24444085609878094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213601708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993651,0.00020170056,0.0023412695,0.0018856742,0.00084069424,0.00005166626,9.706673e-7,0.000063194246,0.0009638322],"genre_scores_gemma":[0.99832946,0.00009148062,0.00015709817,0.0008909649,0.000107277396,0.0000038435564,0.0000023005803,0.00001001143,0.00040753337],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990796,0.00014734328,0.00012474779,0.0003048383,0.000107463515,0.00023600011],"domain_scores_gemma":[0.9992418,0.00057957397,0.000022907525,0.00008359986,0.000016254711,0.00005581973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009863234,0.000080738704,0.0001089704,0.000043562006,0.00013253785,0.000079498044,0.000049495982,0.000055707143,0.000061799656],"category_scores_gemma":[0.0014224511,0.000079645164,0.00003015246,0.00023463459,0.00004640423,0.00009073034,0.000065689805,0.00037639667,0.0000056674976],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011925055,0.0001966631,0.14956272,0.000051490435,0.000007478421,0.0013285796,0.00040907355,0.0038853912,0.69327855,0.0696245,0.0010143707,0.08052193],"study_design_scores_gemma":[0.0014183967,0.0003439223,0.02948629,0.00017947252,0.00002892299,0.00080144766,0.0008484823,0.87864953,0.07589057,0.005893428,0.0057174475,0.000742085],"about_ca_topic_score_codex":0.000020724066,"about_ca_topic_score_gemma":0.000037746668,"teacher_disagreement_score":0.87476414,"about_ca_system_score_codex":0.000014596865,"about_ca_system_score_gemma":0.000013671295,"threshold_uncertainty_score":0.32478353},"labels":[],"label_agreement":null},{"id":"W3213775419","doi":"10.1007/s00422-021-00912-7","title":"Evolution of the Wilson–Cowan equations","year":2021,"lang":"en","type":"editorial","venue":"Biological Cybernetics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Binocular rivalry; Dynamical systems theory; Nonlinear system; Artificial neural network; Rivalry; Neural system; Artificial intelligence; Complex system; Range (aeronautics); Cognitive science; Computer science; Statistical physics; Psychology; Neuroscience; Visual perception; Physics; Economics","score_opus":0.038062488439399904,"score_gpt":0.2637003775611048,"score_spread":0.2256378891217049,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213775419","genre_codex":"editorial","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016870102,0.00023641402,0.00060719234,0.00029046184,0.97879297,0.00033032792,0.00044896625,0.000058763562,0.0023647905],"genre_scores_gemma":[0.55427426,0.00040239247,0.00008373655,0.00014581821,0.44069403,0.000024511624,0.0001408381,0.000026996355,0.0042074546],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981122,0.00033853826,0.00033296391,0.00046481198,0.00053191016,0.0002195639],"domain_scores_gemma":[0.99726576,0.0018329523,0.00028992456,0.00041041378,0.0001553381,0.00004560019],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00015978629,0.000192549,0.00025571033,0.000031881074,0.0001352325,0.0000380056,0.00048481993,0.0006907826,0.00006590723],"category_scores_gemma":[0.0110927345,0.00011268994,0.00020769877,0.00035209805,0.00030235102,0.000022698738,0.00029965516,0.00061248674,0.000018900393],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002930267,0.00020363035,0.00014533185,0.000037323545,0.000009584587,0.0000065806594,0.00002513177,0.0001285539,0.1699234,0.03867348,0.78964376,0.0011739329],"study_design_scores_gemma":[0.00021414169,0.00027529837,0.00085115415,0.00007808973,0.000038647806,0.0000019344257,0.000013505581,0.0012841586,0.005956337,0.0064883903,0.9845119,0.00028641126],"about_ca_topic_score_codex":0.000032367712,"about_ca_topic_score_gemma":0.00002207003,"teacher_disagreement_score":0.538099,"about_ca_system_score_codex":0.00011919158,"about_ca_system_score_gemma":0.00019083242,"threshold_uncertainty_score":0.99723727},"labels":[],"label_agreement":null},{"id":"W3215017765","doi":"10.1016/j.brs.2021.10.267","title":"Variability in TMS-EEG response can partially be described by the phase of ongoing brain oscillation","year":2021,"lang":"en","type":"article","venue":"Brain stimulation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Oscillation (cell signaling); Electroencephalography; Phase (matter); Neuroscience; Psychology; Audiology; Medicine; Physics; Biology","score_opus":0.050041498037711046,"score_gpt":0.31481725579163894,"score_spread":0.2647757577539279,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215017765","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97451335,0.0000075320154,0.00712865,0.017494775,0.0002070256,0.00038453445,0.00007320119,0.000040882707,0.0001500545],"genre_scores_gemma":[0.99714476,0.0000017987884,0.00010612705,0.0022674114,0.000029387249,0.000013952241,0.0000623727,0.000015502059,0.00035866673],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99657536,0.0019282491,0.0004567123,0.00044905447,0.0003658695,0.00022476302],"domain_scores_gemma":[0.9940283,0.0052724676,0.00018830474,0.00036236146,0.00009710754,0.000051461626],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0022628417,0.00013683763,0.00017177798,0.00008384592,0.00016235592,0.000062207815,0.0001232945,0.000085832755,0.000060700575],"category_scores_gemma":[0.014071686,0.000119153796,0.00006493518,0.0007470045,0.00009177749,0.00020894158,0.000057420064,0.0001609229,0.0000022137342],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006436717,0.00016365487,0.0021927047,0.000011583897,0.0000022187535,0.000006821745,0.0004405162,0.014029818,0.97453016,0.0010275837,0.0006163325,0.006334944],"study_design_scores_gemma":[0.0038605754,0.00027846466,0.09796796,0.00004618816,0.000015194492,0.000016884593,0.00008655045,0.761335,0.12973425,0.0030389111,0.0033291944,0.0002908291],"about_ca_topic_score_codex":0.00008466909,"about_ca_topic_score_gemma":0.0002939922,"teacher_disagreement_score":0.8447959,"about_ca_system_score_codex":0.00012408025,"about_ca_system_score_gemma":0.00015144596,"threshold_uncertainty_score":0.9942332},"labels":[],"label_agreement":null},{"id":"W3215155546","doi":"10.1101/2021.11.10.468062","title":"Sequence learning attenuates cortical responses in both frontal and perceptual cortices in early infancy","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institutes of Health; James S. McDonnell Foundation; Princeton University; Bill and Melinda Gates Foundation","keywords":"Perception; Psychology; Frontal lobe; Neuroscience; Sensory system; Cognitive psychology; Perceptual learning","score_opus":0.02884756621591972,"score_gpt":0.2510517367194952,"score_spread":0.2222041705035755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215155546","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99829346,0.00025646348,0.00004645006,0.00015097526,0.00068271015,0.000383897,0.00005137974,0.00012920426,0.000005445388],"genre_scores_gemma":[0.99874115,0.00042464156,0.00034596463,0.00023689396,0.000102565966,0.00007385387,3.1235552e-7,0.00006373765,0.000010889052],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99655795,0.00065627624,0.0005621482,0.0012847743,0.00038031567,0.0005585506],"domain_scores_gemma":[0.9985806,0.00047577033,0.00023987168,0.00044280192,0.0000868558,0.00017413798],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005120045,0.00041209027,0.00050471746,0.0003437531,0.0001514607,0.00043451067,0.00030526752,0.000353464,0.000032963835],"category_scores_gemma":[0.0024046272,0.00044528258,0.000069875656,0.00054658396,0.0002733394,0.00039606023,0.0005546443,0.0016936113,0.000012945125],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008444567,0.00006523318,0.27330938,0.00007050328,0.000004342474,0.00042859005,0.0000791328,0.00009446648,0.7257185,0.00013995999,0.0000019839513,0.0000034798675],"study_design_scores_gemma":[0.00044732387,0.000110649984,0.9476625,0.0004297705,0.000016784925,1.8670562e-7,0.000035573314,0.006669307,0.044024307,0.0000021014253,0.000072820905,0.0005287038],"about_ca_topic_score_codex":0.0003791291,"about_ca_topic_score_gemma":0.00009721357,"teacher_disagreement_score":0.6816942,"about_ca_system_score_codex":0.00016938837,"about_ca_system_score_gemma":0.00033411637,"threshold_uncertainty_score":0.9997999},"labels":[],"label_agreement":null},{"id":"W3215244705","doi":"10.1101/2021.11.17.469021","title":"Hidden temporal structure of the ongoing task impacts detection strategy and is reflected in pupillary dynamics","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"International Laboratory for Brain, Music and Sound Research","funders":"Agence Nationale de la Recherche","keywords":"Task (project management); Context (archaeology); Dynamics (music); Computer science; Adaptation (eye); Pupillary response; Cognitive psychology; Psychology; Artificial intelligence; Pupil; Neuroscience","score_opus":0.013762666976457023,"score_gpt":0.22291591557946872,"score_spread":0.20915324860301168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215244705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99766314,0.00017188136,0.000083677354,0.000159774,0.0009982276,0.00053403777,0.00029747313,0.00008533677,0.000006481311],"genre_scores_gemma":[0.9992497,0.00017529436,0.00014583665,0.00024969436,0.000094196206,0.000012126128,4.9919475e-7,0.00006898964,0.0000036694425],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974518,0.00029356574,0.00051365147,0.000949414,0.0004007939,0.00039081645],"domain_scores_gemma":[0.9982344,0.00008442328,0.0005345295,0.0008379435,0.00018930192,0.000119416756],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018732276,0.00041386622,0.00043691756,0.00024046976,0.00016279376,0.00025932712,0.00038617494,0.00049636164,0.000011759096],"category_scores_gemma":[0.00045145839,0.00035859144,0.00011128338,0.0010411427,0.00014213406,0.00022121532,0.00053934037,0.0010733582,6.952403e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026776414,0.000034978882,0.009344219,0.00024950292,0.000014662323,0.000028368484,0.000015290518,0.000096592084,0.990023,0.0001475226,0.0000043099494,0.000014753134],"study_design_scores_gemma":[0.0002897637,0.00005571173,0.24179785,0.00030769542,0.000032457112,2.3289839e-7,0.000008042394,0.011360026,0.74574685,0.000017112938,0.000022863263,0.0003613748],"about_ca_topic_score_codex":0.00028182726,"about_ca_topic_score_gemma":0.00044148436,"teacher_disagreement_score":0.24427615,"about_ca_system_score_codex":0.0003280992,"about_ca_system_score_gemma":0.00042358544,"threshold_uncertainty_score":0.99988663},"labels":[],"label_agreement":null},{"id":"W3215603152","doi":"10.1101/2021.11.21.469446","title":"Transient inhibition to light explains stronger V1 responses to dark stimuli","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Excitatory postsynaptic potential; Visual cortex; Darkness; Inhibitory postsynaptic potential; Electrophysiology; Stimulus (psychology); Psychology; Visual system; Biology; Physics; Cognitive psychology; Optics","score_opus":0.02830808036050639,"score_gpt":0.24563973702175398,"score_spread":0.2173316566612476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215603152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9855776,0.000061627026,0.005337956,0.0037760355,0.0029378955,0.0013612043,0.00048745912,0.0004315934,0.000028659842],"genre_scores_gemma":[0.99349993,0.000048720725,0.0021377348,0.003322108,0.00041306877,0.0003807646,7.3939e-7,0.00014980782,0.00004714449],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9953719,0.00040254262,0.0006336052,0.0020327568,0.00078251096,0.0007767292],"domain_scores_gemma":[0.9971848,0.00018276693,0.00021775362,0.0013973651,0.00036434326,0.0006529359],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00048330828,0.0006657392,0.00057354843,0.0005721611,0.00032225755,0.00063441036,0.00049868005,0.0003869201,0.00008173554],"category_scores_gemma":[0.0011394263,0.0007195914,0.00022244212,0.0011781715,0.000058536385,0.00026871372,0.0006163944,0.00078850874,0.00019091781],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019336591,0.00018803007,0.0001474186,0.00011231403,0.000016734328,0.0002628491,0.000049792347,0.000779981,0.9967632,0.00028566289,0.001194558,0.0000060645234],"study_design_scores_gemma":[0.00036309127,0.00023118398,0.020762056,0.0005063628,0.000050566974,8.078791e-8,0.000009245808,0.00036136786,0.96502876,0.0000014536396,0.011745934,0.00093989284],"about_ca_topic_score_codex":0.000022530143,"about_ca_topic_score_gemma":0.0000090585445,"teacher_disagreement_score":0.031734467,"about_ca_system_score_codex":0.0004307463,"about_ca_system_score_gemma":0.00045931028,"threshold_uncertainty_score":0.99952555},"labels":[],"label_agreement":null},{"id":"W3215677757","doi":"10.1073/pnas.2105031118","title":"Temporal order of signal propagation within and across intrinsic brain networks","year":2021,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; Canadian Institutes of Health Research; School of Medicine, Stanford University","keywords":"Neuroscience; SIGNAL (programming language); Resting state fMRI; Human brain; Order (exchange); Computer science; Psychology; Physics","score_opus":0.04002004337153128,"score_gpt":0.2986408279962228,"score_spread":0.2586207846246915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215677757","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956033,0.000028767667,0.000019906756,0.0036775083,0.000035047073,0.00012068348,0.000008973908,0.000006918735,0.00049886754],"genre_scores_gemma":[0.99880415,0.000010662313,0.00040281448,0.00057652366,0.000044245677,0.0000032427681,1.4978151e-7,0.000002968487,0.00015523903],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985733,0.00001449914,0.0002991181,0.00025615082,0.00074116956,0.00011578229],"domain_scores_gemma":[0.99902207,0.00019460951,0.00045295586,0.0000065805452,0.00030019195,0.000023586947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095446437,0.000070019545,0.00011902418,0.00005601492,0.00018838154,0.00003479306,0.00027090684,0.000058213616,0.0000063117636],"category_scores_gemma":[0.0013592395,0.000047241392,0.00003428257,0.001117391,0.0008475137,0.00041425484,0.00015943307,0.00014532337,1.6202388e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017694512,0.000030930063,0.0044487305,0.000042180753,0.0000023091452,1.6005071e-8,0.00016348973,0.0007938378,0.95489997,0.038612455,0.00010251929,0.0008858473],"study_design_scores_gemma":[0.0001798618,0.00006769012,0.022669546,0.00006763233,0.0000032961527,0.00002425507,0.00016159864,0.044603884,0.9082302,0.023888474,0.00003439629,0.000069195274],"about_ca_topic_score_codex":0.000002931806,"about_ca_topic_score_gemma":2.565951e-7,"teacher_disagreement_score":0.046669822,"about_ca_system_score_codex":0.0000122821475,"about_ca_system_score_gemma":0.00003958583,"threshold_uncertainty_score":0.31226996},"labels":[],"label_agreement":null},{"id":"W3215840774","doi":"10.1101/2021.11.03.467014","title":"Age-dependent increased sag amplitude in human pyramidal neurons dampens baseline cortical activity","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network; Centre for Addiction and Mental Health","funders":"Natural Sciences and Engineering Research Council of Canada; Krembil Foundation","keywords":"Neuroscience; Human brain; Neuron; Extracellular; Premovement neuronal activity; Electrophysiology; Psychology; Biology; Cell biology","score_opus":0.02813803941497221,"score_gpt":0.25314787703914643,"score_spread":0.22500983762417423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215840774","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951903,0.000032133088,0.0013754797,0.0003000119,0.0015353708,0.0008619403,0.00025582474,0.00043034847,0.000018550512],"genre_scores_gemma":[0.998121,0.00007322776,0.00025835796,0.00086727,0.00034212047,0.00016401573,0.0000015690949,0.00016026356,0.00001212511],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99413556,0.001107294,0.0007571118,0.0022543184,0.00082583167,0.0009199014],"domain_scores_gemma":[0.99676573,0.00047457864,0.00040885046,0.0017069669,0.00018688479,0.0004569679],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00097414985,0.00075612304,0.00084471493,0.00038450575,0.00035178836,0.0006960029,0.00078801153,0.0005674032,0.00012488502],"category_scores_gemma":[0.0021629224,0.00084412144,0.0002546015,0.0007536963,0.00027631418,0.00028065167,0.0012393428,0.002475333,0.00003425847],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064663036,0.00071079895,0.0052376934,0.00014924936,0.00001809193,0.0015468021,0.0000053912763,0.00026271524,0.99130565,0.00066918804,0.000025743368,0.000003990148],"study_design_scores_gemma":[0.0008241366,0.00008645866,0.42950973,0.00021034121,0.0000686624,1.731017e-7,0.000001890944,0.005589818,0.5625386,0.0000060282064,0.00022503118,0.00093910925],"about_ca_topic_score_codex":0.00051599264,"about_ca_topic_score_gemma":0.00015365347,"teacher_disagreement_score":0.42876706,"about_ca_system_score_codex":0.00047467282,"about_ca_system_score_gemma":0.0005254966,"threshold_uncertainty_score":0.999826},"labels":[],"label_agreement":null},{"id":"W3215979055","doi":"10.1016/j.cub.2022.04.029","title":"Long-range cortical synchronization supports abrupt visual learning","year":2022,"lang":"en","type":"preprint","venue":"Current Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Synchronization (alternating current); Task (project management); Neuroscience; Sensory system; Psychology; Computer science; Cognitive psychology; Channel (broadcasting)","score_opus":0.04240088717149725,"score_gpt":0.34236312205932284,"score_spread":0.2999622348878256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215979055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97004855,0.0004984756,0.012171582,0.00031541332,0.015499314,0.0005767426,0.000085044885,0.00029313983,0.00051176245],"genre_scores_gemma":[0.99727184,0.0006521529,0.000008774126,0.00016548322,0.0004266749,0.000088613044,0.0010201809,0.000032983477,0.00033327617],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973905,0.0006584275,0.00037335447,0.0009693347,0.00019877318,0.00040957495],"domain_scores_gemma":[0.99908537,0.00025679776,0.0002717029,0.0002498368,0.000039479182,0.00009680527],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00023417482,0.00027405834,0.00031561908,0.00016337498,0.00031558974,0.00005832649,0.00029884774,0.0002265781,0.001585793],"category_scores_gemma":[0.0007294124,0.00026234917,0.00014077697,0.00018837024,0.00016889497,0.00004705452,0.001138701,0.0017959172,0.00008632544],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037181744,0.0018168172,0.4991858,0.0011219766,0.000067274166,0.00031950235,0.0005416252,0.011938354,0.07261612,0.019717792,0.003398287,0.38890463],"study_design_scores_gemma":[0.0024777818,0.0038783234,0.12099669,0.00034643544,0.00036828814,0.0003710662,0.00010359424,0.54280233,0.0043394906,0.011848679,0.30824706,0.0042202594],"about_ca_topic_score_codex":0.00001004744,"about_ca_topic_score_gemma":0.0000042775105,"teacher_disagreement_score":0.530864,"about_ca_system_score_codex":0.00015760529,"about_ca_system_score_gemma":0.00011742728,"threshold_uncertainty_score":0.9999829},"labels":[],"label_agreement":null},{"id":"W3216716499","doi":"10.3389/fncir.2021.751331","title":"Projections of the Mouse Primary Visual Cortex","year":2021,"lang":"en","type":"review","venue":"Frontiers in Neural Circuits","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University of Toronto Mississauga; University of Toronto","keywords":"Neuroscience; Visual cortex; Optogenetics; Neocortex; Perception; Blindsight; Visual system; Visual perception; N2pc; Psychology; Visual processing; Cortex (anatomy); Biology","score_opus":0.045525208419812266,"score_gpt":0.2985678587224142,"score_spread":0.2530426503026019,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216716499","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010179055,0.988939,0.00007922705,0.00003638489,0.006671912,0.0015526809,0.000110559464,0.00006186821,0.0015304892],"genre_scores_gemma":[0.0011151418,0.9945659,0.000014588974,0.00026847018,0.0001330347,0.00010794723,0.000045415793,0.000068158835,0.0036813328],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971246,0.0006207761,0.0007100364,0.0007355232,0.0004415372,0.00036748935],"domain_scores_gemma":[0.99871254,0.0001688375,0.00049501215,0.0005222892,0.000041667896,0.000059638547],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001436194,0.00037578944,0.0012503675,0.00028986175,0.0001497298,0.000055955366,0.000610595,0.00025094632,0.00001725025],"category_scores_gemma":[0.000421059,0.0002650249,0.0006229963,0.0015831119,0.00019097076,0.00014770006,0.00021957544,0.00084413803,0.0000056730396],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000026842679,0.00016340228,0.00011581558,0.003515935,0.000021106967,0.00003702288,0.000028905473,0.0000122495885,0.0010171011,0.0001394217,0.0049390662,0.9900073],"study_design_scores_gemma":[0.00045376475,0.00014957499,0.00035727434,0.0040412983,0.00037402485,0.0002632106,0.000035857134,0.00120464,0.00039552228,0.00009708541,0.9917595,0.00086824165],"about_ca_topic_score_codex":0.000010045899,"about_ca_topic_score_gemma":0.00000524535,"teacher_disagreement_score":0.989139,"about_ca_system_score_codex":0.00023241126,"about_ca_system_score_gemma":0.00031994176,"threshold_uncertainty_score":0.9999802},"labels":[],"label_agreement":null},{"id":"W3216865711","doi":"10.7554/elife.73783","title":"Structure and function of axo-axonic inhibition","year":2021,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":92,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Army Research Office; National Institute of Mental Health; National Institute of Neurological Disorders and Stroke; National Eye Institute; Intelligence Advanced Research Projects Activity; G. Harold and Leila Y. Mathers Foundation","keywords":"Inhibitory postsynaptic potential; Excitatory postsynaptic potential; Calcium imaging; Interneuron; Population; Visual cortex; Neocortex; Synapse","score_opus":0.01634066133125829,"score_gpt":0.22413509588319472,"score_spread":0.2077944345519364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216865711","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99849975,0.000050375253,0.00026518235,0.0002653243,0.00035581845,0.00004234563,0.000015371443,0.000020310657,0.0004855506],"genre_scores_gemma":[0.9986973,0.0000523615,0.000038980863,0.0008477071,0.00006122747,0.0000010556315,0.000007939411,0.000005003361,0.00028847082],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99949497,0.000035309342,0.00009182374,0.00017067279,0.00013636102,0.00007085727],"domain_scores_gemma":[0.99976915,0.000038166756,0.000043140375,0.0000875838,0.000036048074,0.000025917318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000030929637,0.000048348444,0.000062642765,0.000026471049,0.000051013565,0.000016891756,0.000013133917,0.000034715646,0.00008754674],"category_scores_gemma":[0.00013894292,0.00004369537,0.000019745017,0.000147217,0.000029915267,0.00009129174,0.0000285041,0.000069333466,0.0000048941274],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012581446,0.000010230844,0.00030421914,0.0000123473665,9.912316e-7,0.000008025784,0.000012057577,0.000021077012,0.9918158,0.004082873,0.00021885555,0.0035009403],"study_design_scores_gemma":[0.0002075996,0.00006432631,0.014714927,0.000011230661,0.0000065154877,0.000038229973,0.000014339702,0.00087806064,0.9802041,0.0017496689,0.002054957,0.000056025805],"about_ca_topic_score_codex":0.000002251689,"about_ca_topic_score_gemma":0.000008242027,"teacher_disagreement_score":0.014410708,"about_ca_system_score_codex":0.000007883827,"about_ca_system_score_gemma":0.000018170498,"threshold_uncertainty_score":0.17818455},"labels":[],"label_agreement":null},{"id":"W3217316642","doi":"10.1121/10.0008062","title":"Laminar specificity of the auditory awareness negativity under multitone masking: A biophysical modeling study","year":2021,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Magnetoencephalography; Neuroscience; Laminar flow; Thalamus; Masking (illustration); Electroencephalography; Excitatory postsynaptic potential; Perception; Auditory cortex; Electrophysiology; Millisecond; Computer science; Inhibitory postsynaptic potential; Psychology; Physics","score_opus":0.03968763106940962,"score_gpt":0.2797263062566904,"score_spread":0.2400386751872808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217316642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8638151,0.000013120751,0.13210063,0.0031671668,0.0007303728,0.0001341985,0.00000890602,0.0000054581114,0.000025014811],"genre_scores_gemma":[0.9982353,0.000054437565,0.00071227417,0.0006067802,0.00028399186,7.1271353e-7,7.029759e-8,0.000012598131,0.00009384347],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978179,0.0006273044,0.00042671885,0.00015850089,0.0007789951,0.00019058133],"domain_scores_gemma":[0.9977082,0.001049478,0.0005395279,0.0004336817,0.0002210614,0.000048050384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044589714,0.00013576465,0.0003339389,0.000009970322,0.00034685482,0.000019090843,0.0006789215,0.000047148056,0.000013997079],"category_scores_gemma":[0.00060895225,0.00006367823,0.0004812601,0.00051063264,0.00071996887,0.000084884865,0.00043061495,0.00059797644,9.3179165e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008541567,0.0007905272,0.0001725782,0.000020033925,0.00004593662,0.0000018999337,0.00055205607,0.18271619,0.8143746,0.000016363118,0.00052679924,0.00069757254],"study_design_scores_gemma":[0.00036929676,0.00022199478,0.00491882,0.00005472018,0.00018218334,0.000033136883,0.0038866966,0.9410692,0.0480149,0.001116565,0.000038821127,0.00009367547],"about_ca_topic_score_codex":0.000047840655,"about_ca_topic_score_gemma":0.0000015482574,"teacher_disagreement_score":0.76635975,"about_ca_system_score_codex":0.000063062944,"about_ca_system_score_gemma":0.00015685732,"threshold_uncertainty_score":0.26677617},"labels":[],"label_agreement":null},{"id":"W3217557077","doi":"10.3389/fninf.2021.748370","title":"Modeling Neurodegeneration in silico With Deep Learning","year":2021,"lang":"en","type":"article","venue":"Frontiers in Neuroinformatics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Children's Hospital; Hotchkiss Brain Institute; University of Calgary","funders":"Alberta Innovates; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Ministry of Innovation and Advanced Education; Calgary Foundation","keywords":"Artificial intelligence; Computer science; Deep learning; Cognition; Neuroscience; Cognitive neuroscience of visual object recognition; Convolutional neural network; Artificial neural network; Machine learning; Object (grammar); Psychology","score_opus":0.013919196861607587,"score_gpt":0.20870873765801562,"score_spread":0.19478954079640803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217557077","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92278147,0.000027066466,0.07469578,0.00018458627,0.0006284711,0.00015003128,0.0000012183491,0.000052899304,0.0014784912],"genre_scores_gemma":[0.99400866,0.00021285123,0.0046334104,0.0009170778,0.000025378284,0.000008906697,0.000011106608,0.000021422036,0.00016118756],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987224,0.00011283916,0.00037300904,0.00024563566,0.0002589403,0.00028722116],"domain_scores_gemma":[0.999609,0.000049616876,0.000070189315,0.00019205186,0.000030413861,0.000048745464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011366754,0.00014183723,0.00017562545,0.00021128093,0.00009650726,0.0001097545,0.000120750534,0.00005015671,0.000003894861],"category_scores_gemma":[0.00041195497,0.00013491315,0.000029659213,0.00068442815,0.000027375489,0.0005790728,0.000054827266,0.00043852345,0.0000058446876],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003094589,0.00003436592,0.004847088,0.00002617352,7.2742745e-7,0.00010190995,0.00038238964,0.9801005,0.008067499,0.0003203465,0.000035337584,0.0060527087],"study_design_scores_gemma":[0.0004576847,0.00006724375,0.00041820435,0.000022709752,0.000002808751,0.000043379885,0.00028429058,0.9925469,0.0055236644,0.0002316673,0.0002543073,0.00014710972],"about_ca_topic_score_codex":0.000004821794,"about_ca_topic_score_gemma":0.00005765921,"teacher_disagreement_score":0.07122721,"about_ca_system_score_codex":0.000054556178,"about_ca_system_score_gemma":0.00004511395,"threshold_uncertainty_score":0.5501599},"labels":[],"label_agreement":null},{"id":"W3217684967","doi":"10.3389/fnsys.2021.720744","title":"Complexity Collapse, Fluctuating Synchrony, and Transient Chaos in Neural Networks With Delay Clusters","year":2021,"lang":"en","type":"article","venue":"Frontiers in Systems Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chaotic; Control theory (sociology); Computer science; Noise (video); Mathematics; Topology (electrical circuits); Physics","score_opus":0.02538074942391716,"score_gpt":0.23050695067726595,"score_spread":0.2051262012533488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217684967","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95298916,0.00032382068,0.040541247,0.00041293126,0.0046186363,0.0006958996,0.000014669474,0.0000612682,0.00034234463],"genre_scores_gemma":[0.9983071,0.000073904164,0.00037053818,0.0009619781,0.00004777755,0.00004333905,0.0000022208462,0.000024255443,0.00016887525],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968746,0.0004518378,0.000461808,0.0010843924,0.00048765715,0.0006397427],"domain_scores_gemma":[0.999199,0.00013566433,0.00015191441,0.00031974373,0.000040326617,0.0001533526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037032706,0.00026053705,0.00039559207,0.00022349533,0.0002601198,0.00026601442,0.0003044106,0.00007797614,0.000001512579],"category_scores_gemma":[0.00023853262,0.00023251277,0.00003665533,0.0016852397,0.00052028545,0.00042694583,0.000115487965,0.00038358517,4.3452968e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033598268,0.00030667178,0.100785136,0.00029551916,0.0000037942689,0.003005598,0.0012745208,0.76135886,0.12428088,0.00094827014,0.0011186042,0.0062861876],"study_design_scores_gemma":[0.0007600801,0.0001587798,0.017393403,0.00010646327,0.000004098912,0.0005157616,0.00033981347,0.979706,0.00039745588,0.000019321644,0.00033265678,0.00026616716],"about_ca_topic_score_codex":0.00008526647,"about_ca_topic_score_gemma":0.00018724511,"teacher_disagreement_score":0.21834716,"about_ca_system_score_codex":0.00013611582,"about_ca_system_score_gemma":0.00007373326,"threshold_uncertainty_score":0.9481596},"labels":[],"label_agreement":null},{"id":"W34706521","doi":"10.1007/978-3-319-08123-6_26","title":"Artificial Astrocyte Networks, as Components in Artificial Neural Networks","year":2014,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Artificial neural network; Computer science; Neuron; Astrocyte; Nervous system network models; Artificial neuron; Neurophysiology; Neuroscience; Artificial intelligence; Types of artificial neural networks; Time delay neural network; Biology","score_opus":0.03271414925775096,"score_gpt":0.24343685752903566,"score_spread":0.2107227082712847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W34706521","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024278613,0.000049298513,0.96705896,0.0005291308,0.0067519653,0.0005683492,0.0000056246517,0.00011651678,0.0006415584],"genre_scores_gemma":[0.9935425,0.000020724061,0.0008911575,0.0033793957,0.0019288596,0.000007656331,0.000015541804,0.00006138537,0.00015277311],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9952721,0.0001262727,0.00081747916,0.0018283931,0.0009160877,0.0010396584],"domain_scores_gemma":[0.99786156,0.00077927153,0.00036877804,0.00071419775,0.000072385534,0.00020380205],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00069324137,0.00063334807,0.00063837663,0.00068735884,0.0003842633,0.0004916453,0.0013023756,0.00043743828,0.000045270757],"category_scores_gemma":[0.00021912213,0.000599306,0.00016684133,0.00068985886,0.00087290246,0.00024680287,0.00061692914,0.0016503944,0.000053528314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007957252,0.000028901002,0.000040888226,0.0000071521727,0.0000014320809,0.00011533438,0.000035474575,0.7140515,0.0034180202,0.005754639,0.000007323822,0.27645975],"study_design_scores_gemma":[0.00013868781,0.00023282856,0.0002244429,0.00013694735,0.00000627333,0.0000680893,8.192847e-8,0.96356523,0.0011552102,0.0336484,0.00027306197,0.00055074197],"about_ca_topic_score_codex":0.00004820202,"about_ca_topic_score_gemma":0.00034137824,"teacher_disagreement_score":0.9692639,"about_ca_system_score_codex":0.0002551936,"about_ca_system_score_gemma":0.00010108246,"threshold_uncertainty_score":0.9996458},"labels":[],"label_agreement":null},{"id":"W35730775","doi":"10.1007/978-1-4614-6409-9_6","title":"Relevance Realization and the Neurodynamics and Neuroconnectivity of General Intelligence","year":2013,"lang":"en","type":"book-chapter","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Relevance (law); Realization (probability); Cognitive science; Neuroanatomy; Psychology; Computer science; Artificial intelligence; Graph; Neuroscience; Theoretical computer science; Mathematics; Political science","score_opus":0.021181235629623162,"score_gpt":0.22574725787849306,"score_spread":0.2045660222488699,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W35730775","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09582932,0.0004962871,0.029367194,0.0031371946,0.0017437175,0.0032685685,0.00010482181,0.00023389759,0.865819],"genre_scores_gemma":[0.5171197,0.012478196,0.00016674346,0.0024720386,0.00014020804,0.000021013246,0.00000981068,0.00008899063,0.46750328],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988519,0.000066324465,0.00027901388,0.0004922494,0.00018931474,0.00012119847],"domain_scores_gemma":[0.9986264,0.0007246237,0.00026124704,0.00028561702,0.000057938876,0.000044180837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012734668,0.00021697066,0.00026609199,0.00006430085,0.000108849104,0.000059308986,0.00013646082,0.00011213374,0.000042380467],"category_scores_gemma":[0.0003879219,0.00014275277,0.00006298315,0.000041972053,0.0005382372,0.0001367446,0.0001628723,0.000250122,0.000005819675],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042006344,0.0000045555403,0.0000049360465,0.00003729318,0.0000030693034,0.0000021783296,0.000018864945,0.00008854879,0.0063939434,0.976333,0.00008389817,0.01698767],"study_design_scores_gemma":[0.0005295503,0.00029519602,0.00039858583,0.000085960855,0.00008464193,0.00017423481,0.0000054374605,0.4399127,0.0036711944,0.5426764,0.011598989,0.0005670828],"about_ca_topic_score_codex":0.00006276464,"about_ca_topic_score_gemma":0.000036159712,"teacher_disagreement_score":0.43982416,"about_ca_system_score_codex":0.000010076101,"about_ca_system_score_gemma":0.000012896721,"threshold_uncertainty_score":0.5821289},"labels":[],"label_agreement":null},{"id":"W36155415","doi":"10.1016/j.dcn.2022.101154","title":"Temporal dynamics of early brain activity explored using EEG and computational models","year":2013,"lang":"en","type":"dissertation","venue":"Doctoral thesis, UCL (University College London).","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Brain activity and meditation; Electroencephalography; Network dynamics; Neuroscience; Mechanism (biology); Dynamics (music); Population; Computer science; Computational model; Psychology; Statistical physics; Artificial intelligence; Physics; Mathematics; Medicine","score_opus":0.04716793894936093,"score_gpt":0.24720534670915129,"score_spread":0.20003740775979034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W36155415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99536854,0.000020939004,0.001443503,0.00028683303,0.00044492356,0.0006609155,0.0012249298,0.000080028934,0.00046935974],"genre_scores_gemma":[0.9900118,0.000029996821,0.00091534783,0.000074812866,0.00003144021,0.0000022010154,0.00034017747,0.00005091645,0.00854327],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977498,0.0002961543,0.00027023212,0.0007471943,0.00058855856,0.00034806735],"domain_scores_gemma":[0.99837816,0.00040228097,0.00057733915,0.00028225544,0.000198839,0.00016111681],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000144829,0.00041351913,0.0006006537,0.00051158987,0.00044713294,0.00007208972,0.00039971003,0.00034715157,0.000077223005],"category_scores_gemma":[0.000064681015,0.000475277,0.0002155593,0.0006479905,0.00018302041,0.0012297524,0.00013436787,0.0003868924,0.000008305847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.01212805,0.002122304,0.0040981,0.0022133712,0.0006365972,0.00083265407,0.006329659,0.028969219,0.4588016,0.4579528,0.0038805346,0.022035105],"study_design_scores_gemma":[0.0014010294,0.0002997933,0.009158329,0.00015182827,0.00013830603,0.000020445848,0.0013023803,0.973958,0.0013923857,0.01123745,0.00013510737,0.0008049587],"about_ca_topic_score_codex":0.0011787397,"about_ca_topic_score_gemma":0.0006150042,"teacher_disagreement_score":0.9449888,"about_ca_system_score_codex":0.00028323603,"about_ca_system_score_gemma":0.0002022132,"threshold_uncertainty_score":0.99976987},"labels":[],"label_agreement":null},{"id":"W392052671","doi":"10.1017/cbo9780511610608.003","title":"Neurophenomenology: An Introduction for Neurophilosophers","year":2005,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":157,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Consciousness; Subjectivity; Cognitive science; Neural correlates of consciousness; Psychology; Explanatory model; Epistemology; Neuroscience; Cognitive psychology; Cognition; Philosophy","score_opus":0.041621563454751175,"score_gpt":0.21562915969353053,"score_spread":0.17400759623877934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W392052671","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015540841,0.000011269592,0.000530267,0.0006873715,0.0014392221,0.00094279554,0.00040072648,0.00033954054,0.9940947],"genre_scores_gemma":[0.0036217882,0.00004764579,0.00009420586,0.0006715632,0.001882731,0.000002132393,0.00006845004,0.00010147224,0.99351],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980497,0.0000786372,0.000202251,0.0011275167,0.0002068967,0.0003349982],"domain_scores_gemma":[0.9987628,0.00009426992,0.00025868515,0.00061492814,0.00009847002,0.00017088352],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000065930115,0.0003975838,0.0003303136,0.0002157978,0.0003429216,0.00006259997,0.0005021892,0.0002799092,0.000008483047],"category_scores_gemma":[0.000035629466,0.0004736401,0.00019371504,0.000012919159,0.0002853772,0.00021753494,0.0001842279,0.00048193277,0.000015846515],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030239107,0.000020105665,6.128981e-8,0.000031607888,0.000013827995,0.00008056643,0.000007932833,0.00007125675,0.02402629,0.9624982,0.008484504,0.0044632684],"study_design_scores_gemma":[0.000537954,0.00043937782,0.0000019929294,0.000008189331,0.00010818755,0.00005009344,0.000003379076,0.0010503492,0.002040085,0.00014613707,0.9951812,0.0004330751],"about_ca_topic_score_codex":0.000005522387,"about_ca_topic_score_gemma":4.9615034e-7,"teacher_disagreement_score":0.98669666,"about_ca_system_score_codex":0.0001597112,"about_ca_system_score_gemma":0.000047019283,"threshold_uncertainty_score":0.99977154},"labels":[],"label_agreement":null},{"id":"W4200009014","doi":"10.3791/56776-v","title":"Two-photon Calcium Imaging in Neuronal Dendrites in Brain Slices","year":2018,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Soma; Neuroscience; Calcium imaging; GABAergic; Inhibitory postsynaptic potential; Dendritic spike; Two-photon excitation microscopy; Synaptic plasticity; Intracellular; Electrophysiology; Dendrite (mathematics); Calcium in biology; Parvalbumin; Dendritic spine; Biology; Biophysics; Calcium; Chemistry; Physics; Excitatory postsynaptic potential; Cell biology; Hippocampal formation; Optics; Fluorescence","score_opus":0.04832385291073759,"score_gpt":0.4337994118307048,"score_spread":0.3854755589199672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200009014","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973658,0.00008058815,0.00011324493,0.00049052236,0.0010802499,0.000116543895,0.0000017722106,0.000011083019,0.0007402375],"genre_scores_gemma":[0.99693143,0.000015831676,0.00027742304,0.0024180752,0.00021921839,0.0000042769434,5.193146e-7,0.000019990723,0.000113217066],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981377,0.00026981454,0.00060145545,0.0002509661,0.000425734,0.00031430824],"domain_scores_gemma":[0.9992067,0.00020500924,0.00032703276,0.00011322664,0.000054179985,0.00009381063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041268888,0.0001542051,0.00025049227,0.00044144772,0.00006641925,0.00008918172,0.00026739674,0.000033306165,0.00012259818],"category_scores_gemma":[0.0003702701,0.00013439042,0.00008347021,0.0003876633,0.000098944525,0.0005180175,0.000074620446,0.00023497114,0.000017072838],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028910677,0.00022904559,0.009523876,0.0000036444135,0.0000018212352,0.00013729383,0.00051980675,0.000009519055,0.9880141,0.00031410754,0.00025471032,0.00070296915],"study_design_scores_gemma":[0.0033824344,0.00034569297,0.010246054,0.000098494296,0.0000031424265,0.00014816222,0.00021750864,0.0067008366,0.97675043,0.00050468865,0.0014317902,0.00017076354],"about_ca_topic_score_codex":0.000077372024,"about_ca_topic_score_gemma":0.00002194546,"teacher_disagreement_score":0.011263667,"about_ca_system_score_codex":0.000112196336,"about_ca_system_score_gemma":0.0000473564,"threshold_uncertainty_score":0.5480282},"labels":[],"label_agreement":null},{"id":"W4200009856","doi":"10.1101/2021.12.02.471005","title":"<i>In vitro</i> neurons learn and exhibit sentience when embodied in a simulated game-world","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Global Health Research; Canadian Institute for Advanced Research","funders":"","keywords":"Computer science; Embodied cognition; Leverage (statistics); Artificial intelligence; Human–computer interaction; Inference; Neuroscience; Psychology","score_opus":0.01856492806310394,"score_gpt":0.22469636443073104,"score_spread":0.2061314363676271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200009856","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99638623,0.0002040666,0.000085735264,0.00091792847,0.0013988671,0.00071895815,0.00006719433,0.00018846165,0.00003254114],"genre_scores_gemma":[0.9974668,0.00022642498,0.00026793082,0.0016920725,0.00011082494,0.000056846497,3.221714e-7,0.000101843165,0.00007695735],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9958906,0.00040009565,0.0006567762,0.0018756508,0.0004381205,0.0007387362],"domain_scores_gemma":[0.99816257,0.00025006168,0.00031277395,0.0009313753,0.00011538389,0.00022784516],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040063646,0.00056727923,0.00065491,0.00065688224,0.00010929267,0.00046652879,0.00046732952,0.0003145336,0.00003925737],"category_scores_gemma":[0.00065295195,0.0006432376,0.0001165532,0.0012307899,0.00017995137,0.000397669,0.0008381394,0.0014472645,0.000019119307],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065565626,0.0001684377,0.003038222,0.00016650144,0.000005994162,0.0006706344,0.000023242066,0.001255391,0.9943752,0.00018354194,0.000043481534,0.0000037413947],"study_design_scores_gemma":[0.0015288608,0.000064129934,0.036977146,0.0005947625,0.000042412856,2.121925e-7,0.0000069460216,0.060340773,0.89628357,0.000032866858,0.0027643938,0.0013639405],"about_ca_topic_score_codex":0.00017839695,"about_ca_topic_score_gemma":0.000052462194,"teacher_disagreement_score":0.09809169,"about_ca_system_score_codex":0.0002102811,"about_ca_system_score_gemma":0.0002720632,"threshold_uncertainty_score":0.9996019},"labels":[],"label_agreement":null},{"id":"W4200199429","doi":"10.1109/embc46164.2021.9629631","title":"Identification of Beta Oscillatory Patterns During a Hand Grip Motor Task: A Comparative Analysis pre- and post-Exercise","year":2021,"lang":"en","type":"article","venue":"2021 43rd Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"BETA (programming language); Beta Rhythm; Motor cortex; Electroencephalography; Task (project management); Motor system; Primary motor cortex; Motor learning; Neuroplasticity","score_opus":0.030766853026105597,"score_gpt":0.2936158366197919,"score_spread":0.2628489835936863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200199429","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957448,0.00009688833,0.0021754277,0.0007871753,0.0007301199,0.00014544977,0.00028123573,0.000010075014,0.000028807124],"genre_scores_gemma":[0.99851507,0.00048755945,0.000090492904,0.00007104661,0.0000796107,0.000013021629,0.000052886568,0.000006577609,0.0006837297],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99866307,0.000086534325,0.00048621494,0.00038006285,0.00022885972,0.00015527365],"domain_scores_gemma":[0.99885297,0.00021336152,0.00026546585,0.00024189743,0.000382094,0.00004421243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025270547,0.0001587799,0.0003896218,0.00018208685,0.000058709953,0.000020313875,0.00030781087,0.0000999852,0.00006437226],"category_scores_gemma":[0.00030301593,0.00012433893,0.00015901691,0.00054936873,0.00029787672,0.000119102275,0.00012953187,0.0002488714,0.0000010600312],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003105578,0.00004262579,0.010681656,0.00005558625,0.00013286047,8.0437883e-7,0.0022722767,0.0026822987,0.98359287,0.000406934,0.000052244035,0.000048819038],"study_design_scores_gemma":[0.0014360228,0.00014747768,0.65089124,0.0005460214,0.00031975232,0.000025350628,0.0014106336,0.11205629,0.23219833,0.00019631798,0.00038699497,0.00038556076],"about_ca_topic_score_codex":0.00014209325,"about_ca_topic_score_gemma":0.00011952454,"teacher_disagreement_score":0.7513945,"about_ca_system_score_codex":0.00004225253,"about_ca_system_score_gemma":0.00004149697,"threshold_uncertainty_score":0.5070394},"labels":[],"label_agreement":null},{"id":"W4200224863","doi":"10.1101/2021.11.02.467022","title":"Automatic Detection and Neurotransmitter Prediction of Synapses in Electron Microscopy","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"National Institute of Neurological Disorders and Stroke","keywords":"Synapse; Connectomics; Computer science; Neuroscience; Artificial intelligence; Neurotransmitter; Connectome; Ciona intestinalis; Machine learning; Biology; Pattern recognition (psychology)","score_opus":0.012265076731501753,"score_gpt":0.22039070947281433,"score_spread":0.20812563274131257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200224863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99718857,0.00021960876,0.0007684957,0.000089182475,0.0009504261,0.00054686377,0.00006765172,0.00016740337,0.0000018110085],"genre_scores_gemma":[0.9988782,0.00045088274,0.00026607772,0.00017910512,0.00007497135,0.00009120844,1.5488533e-7,0.000058134658,0.000001270952],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977712,0.00024112497,0.00049813394,0.0008923434,0.00026103173,0.00033614627],"domain_scores_gemma":[0.9989302,0.000104596336,0.00029036225,0.0004931075,0.000098728786,0.00008296567],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00024393966,0.00032509828,0.00039925484,0.0003247305,0.00008247963,0.00014562409,0.00018570504,0.00030901484,0.000013028378],"category_scores_gemma":[0.00027439508,0.00035487948,0.000084655185,0.0005202436,0.00010666645,0.00021040521,0.00015445905,0.0006525594,0.0000022592842],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021621005,0.00008680792,0.0028612164,0.0004592132,0.000009257444,0.000025119418,0.0000073893243,0.00005232979,0.9964348,0.000027398004,0.0000030159729,0.0000118111575],"study_design_scores_gemma":[0.00026378944,0.00010074645,0.15678176,0.0002637766,0.000031443888,1.0591641e-7,8.259567e-7,0.013892052,0.828421,0.0000024806152,0.000037213347,0.00020477398],"about_ca_topic_score_codex":0.000047171747,"about_ca_topic_score_gemma":0.000008352633,"teacher_disagreement_score":0.1680138,"about_ca_system_score_codex":0.0001237484,"about_ca_system_score_gemma":0.00013961621,"threshold_uncertainty_score":0.9998903},"labels":[],"label_agreement":null},{"id":"W4200325796","doi":"10.1073/pnas.2103702118","title":"Pop-out search instigates beta-gated feature selectivity enhancement across V4 layers","year":2021,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Eye Institute","keywords":"Stimulus (psychology); Neuroscience; Visual cortex; Rhythm; Cortical neurons; Gating; Psychology; Cerebral cortex; Biology; Cognitive psychology; Physics","score_opus":0.0719875687680101,"score_gpt":0.341856704945497,"score_spread":0.2698691361774869,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200325796","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.986015,0.000030230629,0.0000024056942,0.010820753,0.00006984191,0.0001499955,0.000029703351,0.000016913753,0.0028651436],"genre_scores_gemma":[0.99737704,0.00003940336,0.0003004879,0.000916436,0.000053397624,0.0000053453605,2.7500244e-7,0.000004385854,0.0013032572],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99759275,0.00002084983,0.00021655891,0.00043906688,0.001470936,0.00025987058],"domain_scores_gemma":[0.99914604,0.00018884905,0.00023879684,0.000011208208,0.00036890412,0.000046223475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009924945,0.00011037564,0.00015185047,0.0000732571,0.00048759353,0.00008018594,0.00060202973,0.000084953936,0.00001786094],"category_scores_gemma":[0.0010807482,0.000075152,0.000083968145,0.0014179576,0.0007659889,0.0005348659,0.00025596673,0.00031010844,0.0000032682667],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000110761175,0.000054872336,0.0030224416,0.0000348881,0.0000052257064,2.785752e-8,0.00019547684,0.00010135845,0.9848112,0.010729767,0.0004901065,0.0005435698],"study_design_scores_gemma":[0.00012817781,0.000040571456,0.015506811,0.000043345146,0.000004581966,0.00001094263,0.000110218134,0.0022273634,0.97547317,0.005955262,0.00041749093,0.00008204784],"about_ca_topic_score_codex":0.0000042492184,"about_ca_topic_score_gemma":4.5856427e-7,"teacher_disagreement_score":0.01248437,"about_ca_system_score_codex":0.000056124263,"about_ca_system_score_gemma":0.00007117392,"threshold_uncertainty_score":0.37502244},"labels":[],"label_agreement":null},{"id":"W4200347130","doi":"10.3389/fnins.2021.753820","title":"The Menstrual Cycle Modulates Whole-Brain Turbulent Dynamics","year":2021,"lang":"en","type":"article","venue":"Frontiers in Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"Horizon 2020 Framework Programme","keywords":"Menstrual cycle; Follicular phase; Luteal phase; Hormone; Endocrinology; Internal medicine; Physiology; Neuroscience; Psychology; Biology; Medicine","score_opus":0.012286349106414568,"score_gpt":0.230504075043693,"score_spread":0.21821772593727842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200347130","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93823856,0.00017692291,0.009426092,0.03996423,0.010229683,0.0003463334,0.000036414818,0.00013663314,0.0014451422],"genre_scores_gemma":[0.98796487,0.00015860164,0.00046328013,0.0056610713,0.000058182763,0.000020791338,0.0000037895702,0.000024320103,0.005645092],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975097,0.00023990637,0.00029897355,0.00083461823,0.0005212614,0.0005954967],"domain_scores_gemma":[0.9989907,0.00025821288,0.000100617835,0.00050110527,0.000037717065,0.00011165859],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031574376,0.00018918852,0.0001687103,0.00009467189,0.0006131749,0.0003297091,0.00065693754,0.000059139147,0.0000034835425],"category_scores_gemma":[0.0014710419,0.00014719644,0.00007827174,0.0011314217,0.0005076074,0.00033581763,0.00022004783,0.0003449656,0.000009976493],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006657658,0.00023802696,0.004698422,0.000019069694,0.0000020885968,0.00080191053,0.00020365801,0.012259832,0.8947591,0.021532105,0.026953463,0.038465753],"study_design_scores_gemma":[0.00039810291,0.00009104864,0.0058910567,0.000017461663,0.0000034850173,0.00019184682,0.00018311155,0.9010367,0.034147132,0.012209084,0.045528974,0.00030203944],"about_ca_topic_score_codex":0.000006403373,"about_ca_topic_score_gemma":0.000034203604,"teacher_disagreement_score":0.88877684,"about_ca_system_score_codex":0.0001357089,"about_ca_system_score_gemma":0.00009068596,"threshold_uncertainty_score":0.60024965},"labels":[],"label_agreement":null},{"id":"W4200426593","doi":"10.3791/56196-v","title":"Reversible Cooling-induced Deactivations to Study Cortical Contributions to Obstacle Memory in the Walking Cat","year":2017,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Neuroscience; Obstacle; Posterior parietal cortex; Obstacle avoidance; Sensory system; Adaptation (eye); Psychology; Computer science; Artificial intelligence","score_opus":0.08631124886885334,"score_gpt":0.4652367584781177,"score_spread":0.37892550960926435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200426593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99648905,0.000004918742,0.000536807,0.0014593945,0.0007402854,0.0005667395,0.0000054618854,0.0000078388275,0.00018950852],"genre_scores_gemma":[0.99824965,0.0000022737725,0.00014981639,0.0013934778,0.000109032706,0.000023387029,3.6483468e-7,0.000010312951,0.000061682316],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99831533,0.00032413835,0.00043252576,0.00019410643,0.0004918193,0.00024208303],"domain_scores_gemma":[0.9987515,0.0003081504,0.00030849813,0.00034123924,0.0001432672,0.00014732454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073091825,0.00011379967,0.00022045113,0.00016713166,0.00078356,0.00024863734,0.0005567852,0.000035374007,0.000026032116],"category_scores_gemma":[0.0036381688,0.00008231853,0.00007429154,0.00021940286,0.000023882658,0.00034211724,0.00012118392,0.00022310019,0.000019418874],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028059518,0.0007836294,0.00073935464,9.701124e-7,0.000010999427,0.00008068838,0.003453099,0.000030681826,0.9934864,0.00034919032,0.0002496768,0.00053469825],"study_design_scores_gemma":[0.0037474162,0.0016266746,0.06655468,0.00006986698,0.00003688124,0.00009176447,0.004966046,0.00048294585,0.92143583,0.00022088563,0.0005410145,0.00022598926],"about_ca_topic_score_codex":0.00006848232,"about_ca_topic_score_gemma":0.000013762739,"teacher_disagreement_score":0.07205059,"about_ca_system_score_codex":0.00018195898,"about_ca_system_score_gemma":0.0000623571,"threshold_uncertainty_score":0.60265887},"labels":[],"label_agreement":null},{"id":"W4200463709","doi":"10.3389/fnhum.2021.786035","title":"Inhibitory Control in the Absence of Awareness: Interactions Between Frontal and Motor Cortex Oscillations Mediate Implicitly Learned Responses","year":2021,"lang":"en","type":"article","venue":"Frontiers in Human Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Waterloo; SickKids Foundation; Hospital for Sick Children","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Psychology; Neuroscience; Cognition; Covert; Premotor cortex; Electroencephalography; Frontal cortex; Frontal lobe; Supplementary motor area; Stimulus (psychology); Cognitive psychology; Audiology; Functional magnetic resonance imaging","score_opus":0.042619902971546365,"score_gpt":0.3048393319459593,"score_spread":0.2622194289744129,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200463709","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943279,0.00004716079,0.0031280932,0.000705001,0.0011958841,0.00029851618,0.00008943955,0.000023016297,0.0001849859],"genre_scores_gemma":[0.9986054,0.000060062863,0.00007447554,0.0008990723,0.000053827112,0.000027624985,0.000002984193,0.000011296281,0.0002653018],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9977698,0.0005094541,0.00042247467,0.0006193567,0.0003780275,0.0003008938],"domain_scores_gemma":[0.9987589,0.00063204445,0.00017630905,0.00032705104,0.000042162937,0.00006354529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040527896,0.00015443299,0.00025701433,0.00030999666,0.00033842074,0.00010151543,0.0003795288,0.000049089238,0.000005766252],"category_scores_gemma":[0.0012125325,0.0001319382,0.000055032004,0.00079737394,0.00057243387,0.0004203016,0.00010207456,0.0003519036,5.158554e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003461227,0.00006065025,0.17997552,0.000010164325,6.794655e-7,0.000046616693,0.0003483018,0.00016299184,0.8183759,0.00040281136,0.00016811512,0.00041364564],"study_design_scores_gemma":[0.0006986252,0.00015759525,0.971475,0.000046224948,0.000007779035,0.00003996886,0.00047136284,0.015964443,0.008078344,0.002078561,0.0007885651,0.00019350277],"about_ca_topic_score_codex":0.00006938905,"about_ca_topic_score_gemma":0.00013086376,"teacher_disagreement_score":0.81029755,"about_ca_system_score_codex":0.000056441695,"about_ca_system_score_gemma":0.00010895507,"threshold_uncertainty_score":0.53802836},"labels":[],"label_agreement":null},{"id":"W4200521396","doi":"10.1523/jneurosci.1085-21.2021","title":"Biased Orientation and Color Tuning of the Human Visual Gamma Rhythm","year":2021,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Agriculture","funders":"National Institute of Neurological Disorders and Stroke; National Eye Institute; National Institute of Mental Health; Robert and Janice McNair Foundation","keywords":"Visual cortex; Stimulus (psychology); Population; Rhythm; Orientation (vector space); Psychophysics; Visual perception; Electrophysiology","score_opus":0.04511013198836963,"score_gpt":0.3080718205096894,"score_spread":0.2629616885213198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200521396","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99780965,0.000009301467,0.00030493469,0.0006477375,0.0010733184,0.000049262722,0.0000022928791,0.000004130305,0.0000993747],"genre_scores_gemma":[0.99864435,0.000025512765,0.000043900724,0.001003668,0.000049961007,4.177504e-7,7.03079e-8,0.000004988562,0.0002271199],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988254,0.00014748066,0.00029154026,0.00018284339,0.00042966515,0.00012310677],"domain_scores_gemma":[0.9991498,0.00015766826,0.00041102633,0.00010620567,0.000117170304,0.000058123143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023121666,0.00006678297,0.00011582702,0.00006723025,0.00024112775,0.00007213985,0.00016304756,0.000020133604,0.000004350921],"category_scores_gemma":[0.00131808,0.000045115183,0.000060746097,0.0005777726,0.0002221198,0.00030479883,0.0000877366,0.00016723257,3.04513e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009490306,0.000041058793,0.0014859396,0.000006309665,2.8922742e-7,0.000055614706,0.000058425616,0.00012501284,0.9967989,0.0007874626,0.000022684995,0.00060884096],"study_design_scores_gemma":[0.00046185023,0.00044239336,0.14944398,0.00005415409,0.000012483271,0.0015950715,0.000078041136,0.012070834,0.8345843,0.00042190705,0.00074971205,0.00008524846],"about_ca_topic_score_codex":0.0000017283209,"about_ca_topic_score_gemma":0.0000023629111,"teacher_disagreement_score":0.16221455,"about_ca_system_score_codex":0.000015953463,"about_ca_system_score_gemma":0.00008070178,"threshold_uncertainty_score":0.1854584},"labels":[],"label_agreement":null},{"id":"W4200580750","doi":"10.3758/s13423-021-02034-4","title":"Alpha suppression indexes a spotlight of visual-spatial attention that can shine on both perceptual and memory representations","year":2021,"lang":"en","type":"review","venue":"Psychonomic Bulletin & Review","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":90,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Eye Institute; National Institute of Mental Health; National Institute on Aging; National Institutes of Health","keywords":"Psychology; Cognitive psychology; Perception; Stimulus (psychology); Cognition; Electroencephalography; Selection (genetic algorithm); Working memory; Task (project management); Selective attention; Cognitive science; Neuroscience; Computer science; Artificial intelligence","score_opus":0.061251818540320135,"score_gpt":0.3530590568694085,"score_spread":0.2918072383290884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200580750","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004321922,0.9936526,0.00002172741,0.0015778297,0.0016263578,0.0018031183,0.00014990906,0.00004980824,0.00068646524],"genre_scores_gemma":[0.0003749594,0.99616754,0.000039753508,0.0011881724,0.00026785038,0.00021681651,0.00024605557,0.000086328786,0.0014125176],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9959082,0.00096374267,0.0011363905,0.0012909137,0.00038300414,0.00031775847],"domain_scores_gemma":[0.9974564,0.0005673832,0.0010563625,0.0007281775,0.00004138007,0.00015032243],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00047863374,0.00057452655,0.0020562774,0.0002076144,0.00017222852,0.00008389955,0.0003295656,0.00022390088,0.0013832173],"category_scores_gemma":[0.00035368127,0.00045345956,0.0006933594,0.0003016013,0.00016152178,0.00005839338,0.00018718859,0.0005426736,0.000120923636],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017126558,0.00021599795,0.000008629591,0.023775924,0.000037981026,0.000015960602,0.000024832347,6.1999765e-7,0.00023372278,0.00012829978,0.024360936,0.95118],"study_design_scores_gemma":[0.00027105992,0.00013543571,0.00007872857,0.0632172,0.00048049228,0.00011007649,0.000010082104,0.000012055655,0.000027043972,0.000010044111,0.9352471,0.00040067043],"about_ca_topic_score_codex":0.00009651904,"about_ca_topic_score_gemma":0.00001391637,"teacher_disagreement_score":0.9507793,"about_ca_system_score_codex":0.0000931814,"about_ca_system_score_gemma":0.00009693363,"threshold_uncertainty_score":0.99979174},"labels":[],"label_agreement":null},{"id":"W4200608973","doi":"10.1038/s41598-021-02825-8","title":"Response triggering by an acoustic stimulus increases with stimulus intensity and is best predicted by startle reflex activation","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science","keywords":"Stimulus (psychology); Moro reflex; Reflex; Audiology; Startle response; Neuroscience; Startle reaction; Acoustic Startle Reflex; Psychology; Medicine; Cognitive psychology","score_opus":0.02141202645059423,"score_gpt":0.2608153648600398,"score_spread":0.23940333840944558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200608973","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99729306,0.000022125781,0.00084623403,0.0003580389,0.0009581757,0.00024455044,0.0000905489,0.00010896035,0.00007828935],"genre_scores_gemma":[0.99438906,0.0000068218437,0.000088878485,0.00035605783,0.00002082439,0.000010701123,0.00014187464,0.000021235495,0.004964567],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997444,0.00019085503,0.00032241596,0.0011573137,0.0005879223,0.00029752802],"domain_scores_gemma":[0.99847275,0.0002011411,0.00023007739,0.00062295684,0.00026130365,0.00021177212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007286427,0.00017732753,0.00019231114,0.000108214736,0.00056052115,0.0005147095,0.00008102502,0.0000667964,0.00007216531],"category_scores_gemma":[0.0016629668,0.00015158701,0.000028437446,0.0006887422,0.00029877946,0.000619278,0.00010328114,0.0001621673,0.000002776586],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005093999,0.00019394852,0.0005321374,0.000012981398,0.0000042221777,0.0003902685,0.00011714185,0.0001622517,0.9861743,9.622721e-7,0.010693405,0.0012089792],"study_design_scores_gemma":[0.00034226457,0.0003800741,0.0011878213,0.00006395556,0.000028755427,0.00064568873,0.00015710264,0.018521717,0.9710568,0.00022976618,0.0071387542,0.0002472835],"about_ca_topic_score_codex":0.00009555838,"about_ca_topic_score_gemma":0.000025844212,"teacher_disagreement_score":0.018359466,"about_ca_system_score_codex":0.000079117,"about_ca_system_score_gemma":0.00017953706,"threshold_uncertainty_score":0.61815387},"labels":[],"label_agreement":null},{"id":"W4205145207","doi":"10.36939/ir.202201121120","title":"nalysis of Impact of Alcohol on Brain's Activity","year":2021,"lang":"en","type":"dissertation","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Electroencephalography; Brain activity and meditation; Python (programming language); Computer science; Association (psychology); Brain function; Cognition; Electrophysiology; Psychology; Scalp; Open source; Neuroscience; Artificial intelligence; Medicine; Software","score_opus":0.03394533087285054,"score_gpt":0.33779679922206374,"score_spread":0.30385146834921317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205145207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9741973,0.0000044154967,0.000013310778,0.00007880012,0.00030583687,0.00012541412,0.000058687565,0.000015984086,0.02520025],"genre_scores_gemma":[0.97486275,0.000026047888,0.0000080307145,0.00009096395,0.000023745493,0.0000046569994,0.000119635006,0.00001909221,0.024845101],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99875164,0.00010178348,0.00023932848,0.00038939773,0.00038426442,0.00013361187],"domain_scores_gemma":[0.9985949,0.0005441457,0.00039231064,0.00032584564,0.00010092465,0.00004187225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008624161,0.00018757528,0.0004088831,0.0002134578,0.000036019457,0.000016976493,0.00014926556,0.00015194037,0.0005678459],"category_scores_gemma":[0.0008525714,0.00014451038,0.0005280424,0.0004844671,0.000024466153,0.000074967604,0.00001645487,0.00020010043,0.0000063246016],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018965817,0.00016218329,0.000086883694,0.000074120486,0.000038622726,0.0000047699746,0.000051744613,0.00016404322,0.9925963,0.00047750928,0.00052652287,0.0056275884],"study_design_scores_gemma":[0.00018290864,0.00035009353,0.019934554,0.00006422208,0.000050131777,0.0000017680392,0.000044300392,0.0014223625,0.9775986,0.00017168191,0.000027746695,0.00015164493],"about_ca_topic_score_codex":0.0003015212,"about_ca_topic_score_gemma":0.00013394728,"teacher_disagreement_score":0.01984767,"about_ca_system_score_codex":0.00004512373,"about_ca_system_score_gemma":0.00011365478,"threshold_uncertainty_score":0.62175137},"labels":[],"label_agreement":null},{"id":"W4205159755","doi":"10.1101/2022.01.13.476265","title":"Comparison of neural population dynamics in the regression subspace between continuous and categorical task parameters","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Japan Society for the Promotion of Science; Research Foundation for the Electrotechnology of Chubu; National Natural Science Foundation of China; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Categorical variable; Computer science; Population; Artificial intelligence; Subspace topology; Stimulus (psychology); Artificial neural network; Machine learning; Pattern recognition (psychology); Psychology","score_opus":0.03551326611041367,"score_gpt":0.27869804417817484,"score_spread":0.24318477806776118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205159755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99746215,0.00011589755,0.00019355872,0.0005564701,0.0007375184,0.00069773546,0.00015336818,0.00007900776,0.0000042950905],"genre_scores_gemma":[0.9994581,0.000051952025,0.00018126094,0.0001233327,0.000065761255,0.00006775842,0.0000021073008,0.000047720834,0.000002054222],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99704045,0.0006459901,0.00059562136,0.0008217316,0.00054899696,0.00034721132],"domain_scores_gemma":[0.99797475,0.0005491532,0.0006450647,0.00068371795,0.000059106835,0.0000881824],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00058122847,0.0003554985,0.0006091226,0.00024998948,0.00020764043,0.00014117837,0.0005261857,0.00025151356,0.0000050182084],"category_scores_gemma":[0.0005242333,0.0002908179,0.000099039295,0.0006320465,0.00013214366,0.00012278739,0.00047042416,0.0011491321,0.000001085219],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000075226075,0.00018850238,0.8203757,0.00021267054,0.000013484542,0.000046463374,0.00005511606,0.0010809515,0.17553458,0.0023265395,0.000060544953,0.000030213472],"study_design_scores_gemma":[0.00039179987,0.00018811443,0.91151035,0.000082402665,0.00007131197,6.997061e-8,0.000038421127,0.0735177,0.013617154,0.000036381014,0.000073532414,0.0004727572],"about_ca_topic_score_codex":0.00043056282,"about_ca_topic_score_gemma":0.000020390698,"teacher_disagreement_score":0.16191743,"about_ca_system_score_codex":0.000304625,"about_ca_system_score_gemma":0.000055333174,"threshold_uncertainty_score":0.9999544},"labels":[],"label_agreement":null},{"id":"W4205199471","doi":"10.3791/50131-v","title":"Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy","year":2013,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital","funders":"","keywords":"Neuroimaging; Computer science; Electroencephalography; Artificial neural network; SIGNAL (programming language); Artificial intelligence; Nonlinear system; Entropy (arrow of time); Sensitivity (control systems); Sample entropy; Spectral density; Pattern recognition (psychology); Neuroscience; Machine learning; Psychology; Physics","score_opus":0.02657316274005296,"score_gpt":0.3800819664403579,"score_spread":0.35350880370030496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205199471","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99279684,0.000337361,0.005489497,0.00032314542,0.0005080531,0.00036473828,0.000016739183,0.000016147322,0.00014750019],"genre_scores_gemma":[0.99857616,0.00018014014,0.0008328334,0.00016849177,0.000040373503,0.000006727357,0.0000049025953,0.000017873128,0.00017247802],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99845517,0.000127888,0.0006207589,0.00025477458,0.0003497465,0.00019166993],"domain_scores_gemma":[0.9988596,0.000077510624,0.0005854797,0.0002727737,0.00008043428,0.0001242253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016301297,0.00013020061,0.0002520156,0.00014298425,0.000097374206,0.00008155868,0.00033833768,0.000039194172,0.00018419337],"category_scores_gemma":[0.00010869929,0.0001081176,0.00007662708,0.00018613788,0.00009511005,0.00067983294,0.000157029,0.00016663651,0.000014974613],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039647224,0.00026753393,0.00034283326,0.0000067688025,0.000017468114,0.0000083466075,0.00011111252,0.000009218322,0.99652547,0.0005580384,0.00044973684,0.0016638174],"study_design_scores_gemma":[0.0048898337,0.00061179535,0.011012211,0.00008377586,0.00007412511,0.00045294556,0.00035073864,0.02280221,0.95325494,0.0022648785,0.0038603863,0.0003421509],"about_ca_topic_score_codex":0.000025725572,"about_ca_topic_score_gemma":1.921495e-7,"teacher_disagreement_score":0.04327053,"about_ca_system_score_codex":0.00002364602,"about_ca_system_score_gemma":0.000023802524,"threshold_uncertainty_score":0.4408908},"labels":[],"label_agreement":null},{"id":"W4205636920","doi":"10.3410/f.1148262.605412","title":"Faculty Opinions recommendation of The neural basis for combinatorial coding in a cortical population response.","year":2009,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"National Institutes of Health; Life Sciences Research Foundation; Howard Hughes Medical Institute","keywords":"Coding (social sciences); Population; Neural coding; Basis (linear algebra); Psychology; Computer science; Neuroscience; Mathematics; Medicine; Statistics; Environmental health","score_opus":0.04712534428367326,"score_gpt":0.36007171341470534,"score_spread":0.3129463691310321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205636920","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00004307021,0.000049474318,0.000018345534,0.18387437,0.0026448825,0.0019404903,0.81139886,0.000023258,0.000007268075],"genre_scores_gemma":[0.001353053,0.000060596823,0.00007825633,0.005797832,0.00024492206,0.00020480655,0.99203247,0.00002099142,0.00020704922],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9946356,0.0014404126,0.0015686711,0.0007168785,0.0012728986,0.00036555267],"domain_scores_gemma":[0.99486446,0.000958893,0.0013941779,0.0010392384,0.001589596,0.0001536158],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019354516,0.0004142424,0.0007253591,0.0002812917,0.00039104788,0.00014622672,0.0013571832,0.0005515066,0.00005850559],"category_scores_gemma":[0.04029719,0.0002490748,0.00062050234,0.0023819706,0.0002387843,0.00033930622,0.0003216434,0.0011182022,0.0000049125165],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015779422,0.00030866038,0.000011103119,0.0013332495,0.000011313226,1.5984891e-7,0.000035841647,0.0000010088859,0.000084767795,0.001337462,0.99561155,0.0011071194],"study_design_scores_gemma":[0.00086720794,0.00021905558,0.012115883,0.004175623,0.00007811482,0.000022058632,0.000008076211,0.00039917088,0.00008036675,0.00019341453,0.9815925,0.00024853426],"about_ca_topic_score_codex":0.000039936007,"about_ca_topic_score_gemma":0.000010037099,"teacher_disagreement_score":0.18063365,"about_ca_system_score_codex":0.00021363737,"about_ca_system_score_gemma":0.0002633162,"threshold_uncertainty_score":0.9999961},"labels":[],"label_agreement":null},{"id":"W4205694558","doi":"10.21203/rs.3.rs-1019411/v1","title":"Serotonin regulation of behaviour via large-scale neuromodulation of serotonin receptor networks","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children","funders":"Wellcome Trust","keywords":"Neuromodulation; Serotonin; 5-HT receptor; Neuroscience; Serotonergic; Psychology; Receptor; Biology; Medicine; Internal medicine; Stimulation","score_opus":0.05672473482629166,"score_gpt":0.3531140135295803,"score_spread":0.29638927870328863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205694558","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911671,0.000049747854,0.0037025134,0.00032630475,0.0008728985,0.0029279725,0.00042560862,0.00008014705,0.00044768417],"genre_scores_gemma":[0.9975435,0.00013761039,0.0002690216,0.000024492041,0.00014264935,0.00041218745,0.0005055831,0.00007152916,0.00089342735],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9942739,0.0014796042,0.00072777877,0.0010012924,0.0019216244,0.00059580343],"domain_scores_gemma":[0.9973421,0.00048594055,0.0005459268,0.0010212092,0.00047483156,0.00013000851],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019729533,0.000273006,0.00046118032,0.0005735167,0.00034544797,0.00006401765,0.0006580165,0.00033881757,0.0011127655],"category_scores_gemma":[0.00045980408,0.00028706354,0.00025410755,0.0011121016,0.00018231648,0.00016622721,0.0016325617,0.0018522058,0.000009596925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080046523,0.0009986188,0.032745734,0.0013911698,0.000019225712,0.00001547385,0.0006493273,0.2540568,0.7015442,0.0022967963,0.001118889,0.004363291],"study_design_scores_gemma":[0.00070809294,0.0011830615,0.1562909,0.00042204413,0.000024230112,0.000007643481,0.00017069008,0.71307606,0.12401287,0.0024165781,0.0012388065,0.00044902813],"about_ca_topic_score_codex":0.0001988638,"about_ca_topic_score_gemma":0.000039561153,"teacher_disagreement_score":0.57753134,"about_ca_system_score_codex":0.00024336063,"about_ca_system_score_gemma":0.00016177827,"threshold_uncertainty_score":0.99995816},"labels":[],"label_agreement":null},{"id":"W4205764517","doi":"10.3791/50212-v","title":"How to Detect Amygdala Activity with Magnetoencephalography using Source Imaging","year":2013,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute of Mental Health","keywords":"Backward masking; Stimulus (psychology); Engram; Magnetoencephalography; Psychology; Computer science; Neuroscience; Fear conditioning; Classical conditioning; Amygdala; Cognitive psychology; Perception; Conditioning; Electroencephalography; Mathematics","score_opus":0.03154104677934192,"score_gpt":0.3559130114681695,"score_spread":0.32437196468882756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205764517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9609818,0.000042907326,0.037846554,0.00039536037,0.00034738806,0.0002513561,0.0000010303788,0.000024257284,0.00010934976],"genre_scores_gemma":[0.9945752,0.000008696518,0.004351495,0.00073958695,0.00010925827,0.000008395022,1.0695725e-7,0.000028892731,0.0001783924],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985051,0.00015387383,0.00023228046,0.00025641252,0.0005295168,0.00032278805],"domain_scores_gemma":[0.99903107,0.00007711946,0.00038208408,0.00016177482,0.00012335546,0.00022462751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013086904,0.0001920838,0.00026035064,0.0003068675,0.00016448442,0.00036773903,0.00023742742,0.00003130951,0.000047622896],"category_scores_gemma":[0.00011510239,0.00013923275,0.00012308892,0.00044212997,0.000071380404,0.00095373316,0.00006596958,0.00018321493,0.000007514796],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017797558,0.000073714284,0.0005575948,0.0000045423308,0.000009763478,0.000027833712,0.0001880508,0.00006836931,0.9898979,0.000009139863,0.00017208538,0.00881304],"study_design_scores_gemma":[0.0011962637,0.00067154295,0.0015400288,0.000065079395,0.000018943678,0.00034048918,0.00025701785,0.0059474153,0.988277,0.00009049255,0.0013589017,0.00023679892],"about_ca_topic_score_codex":0.00004596807,"about_ca_topic_score_gemma":6.4374075e-7,"teacher_disagreement_score":0.033593383,"about_ca_system_score_codex":0.00007419307,"about_ca_system_score_gemma":0.000029998571,"threshold_uncertainty_score":0.5677747},"labels":[],"label_agreement":null},{"id":"W4205787442","doi":"10.1016/j.tins.2021.12.008","title":"Informing deep neural networks by multiscale principles of neuromodulatory systems","year":2022,"lang":"en","type":"review","venue":"Trends in Neurosciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute; Centre Hospitalier Universitaire Sainte-Justine; Université du Québec à Trois-Rivières","funders":"","keywords":"Neuroscience; Flexibility (engineering); Context (archaeology); Computer science; Adaptation (eye); Biological neural network; Artificial neural network; Adaptive behavior; Artificial intelligence; Neural system; Cognitive science; Psychology; Biology","score_opus":0.10734220796725112,"score_gpt":0.323311648778441,"score_spread":0.21596944081118985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205787442","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024353594,0.98076946,0.000069250775,0.000023226761,0.013086811,0.0008754182,0.00020749323,0.00018778082,0.0023451848],"genre_scores_gemma":[0.015710926,0.9818809,0.0000065984996,0.000104425424,0.00009855033,0.00018163341,0.000041354084,0.000072557115,0.0019030799],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9949616,0.0007351646,0.0013666125,0.0012831555,0.0009256919,0.0007277686],"domain_scores_gemma":[0.9970939,0.0010234612,0.0011046852,0.0006199108,0.000012391704,0.0001456212],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00050227175,0.00058773224,0.0013907256,0.0009736117,0.00034363876,0.00017161707,0.0015311233,0.00018054979,0.00007074292],"category_scores_gemma":[0.00043399853,0.000482086,0.00040670185,0.003200658,0.00047604696,0.000468536,0.0005978879,0.0009754534,0.000002172286],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006787004,0.00013841098,0.000037509973,0.0010340835,0.000002322088,0.00007858701,0.000029399449,0.01505916,0.000264294,0.0003537939,0.00006144585,0.9829342],"study_design_scores_gemma":[0.0001343444,0.00022068711,0.000026578242,0.00027138554,0.000037737016,0.00015944186,0.000012679401,0.35132477,0.00001021393,0.0000020182772,0.6473933,0.00040687373],"about_ca_topic_score_codex":0.000054463977,"about_ca_topic_score_gemma":0.000016700522,"teacher_disagreement_score":0.9825273,"about_ca_system_score_codex":0.00010453162,"about_ca_system_score_gemma":0.000053583608,"threshold_uncertainty_score":0.9997631},"labels":[],"label_agreement":null},{"id":"W4205788612","doi":"10.1016/j.cub.2021.11.011","title":"Neural processing: Cracking the code to extract relevant social information","year":2022,"lang":"en","type":"letter","venue":"Current Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cape Breton University","funders":"","keywords":"Corollary; Biology; Sensory system; Neural coding; Coding (social sciences); Neuroscience; Information processing; Social decision making; Code (set theory); Fish <Actinopterygii>; Sensory processing; Cognitive science; Cognitive psychology; Computer science; Fishery; Psychology","score_opus":0.0739329735200168,"score_gpt":0.32652434131809627,"score_spread":0.25259136779807945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205788612","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009264284,0.0001342027,0.0007058976,0.9744361,0.012986094,0.00092338,0.00048594372,0.00020269133,0.0008614251],"genre_scores_gemma":[0.10660198,0.0000673312,0.000008795278,0.8864248,0.0051154844,0.00026419424,0.0010652334,0.000042031734,0.00041014288],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99820894,0.00031987042,0.00036372594,0.00040447508,0.00025473666,0.00044825528],"domain_scores_gemma":[0.9991255,0.00024244167,0.00035538216,0.00020102735,0.000046192992,0.000029473676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018360995,0.00024384492,0.000227937,0.00015783361,0.00072996947,0.00014970418,0.00057355734,0.00022064659,0.00013391326],"category_scores_gemma":[0.00039067972,0.00016674107,0.0001161514,0.00030265597,0.000118894306,0.0002150056,0.00028341133,0.0020384945,0.000089719695],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003436378,0.00001537792,0.000018117067,0.000075719894,0.000002610142,0.000009511631,0.00046518314,0.00003835021,0.0026987034,0.00030119988,0.72381616,0.27252468],"study_design_scores_gemma":[0.000083548504,0.000106403124,0.00006842091,0.000009852742,0.000012497992,0.000034305318,0.000016052807,0.003009409,0.000055930577,0.000532573,0.9958611,0.00020989624],"about_ca_topic_score_codex":0.0000040891837,"about_ca_topic_score_gemma":0.0000020363643,"teacher_disagreement_score":0.2723148,"about_ca_system_score_codex":0.00010558081,"about_ca_system_score_gemma":0.000082836916,"threshold_uncertainty_score":0.88563573},"labels":[],"label_agreement":null},{"id":"W4205855380","doi":"10.1101/2022.01.18.476764","title":"pyNeurode: a real-time neural signal processing framework","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Discovery Centre","funders":"Simons Initiative for the Developing Brain","keywords":"Spike sorting; Computer science; Python (programming language); Spike (software development); Sorting; Brain–computer interface; Graphical user interface; Decoding methods; Software; Process (computing); Latency (audio); Computer hardware; Algorithm; Neuroscience","score_opus":0.019900649890203494,"score_gpt":0.23812711158562858,"score_spread":0.2182264616954251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205855380","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930084,0.0001385359,0.0010226121,0.0006956723,0.0022454972,0.001023686,0.00033370138,0.0014385089,0.00009343223],"genre_scores_gemma":[0.99556845,0.00015513942,0.0015798776,0.0013458474,0.0007139639,0.0003040042,5.195651e-7,0.00027530713,0.00005688652],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9946568,0.00049571024,0.0006981739,0.0021919394,0.00102137,0.0009359899],"domain_scores_gemma":[0.99710006,0.00032560492,0.00070686155,0.001328746,0.00019028634,0.00034846514],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00052403635,0.0008032842,0.0006763732,0.00037903138,0.0007603951,0.0006843447,0.0012207108,0.0004913166,0.00066121714],"category_scores_gemma":[0.00059065555,0.0008729676,0.0002805775,0.0011668677,0.00020345575,0.0003295758,0.001494425,0.0024549481,0.00013583704],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006918015,0.00016465463,0.00046172258,0.0002386835,0.000013040886,0.00028312177,0.000009438877,0.0011472716,0.9964934,0.0008347099,0.00026546724,0.000019314939],"study_design_scores_gemma":[0.001340184,0.00076005416,0.041172277,0.0010706855,0.00038419096,7.320206e-7,0.000007209859,0.27689987,0.6552492,0.0002017628,0.017228687,0.0056851963],"about_ca_topic_score_codex":0.000027936663,"about_ca_topic_score_gemma":2.7404926e-7,"teacher_disagreement_score":0.34124422,"about_ca_system_score_codex":0.00037062884,"about_ca_system_score_gemma":0.0005630455,"threshold_uncertainty_score":0.9998464},"labels":[],"label_agreement":null},{"id":"W4205866692","doi":"10.1145/3487918","title":"Behavioural Plasticity Can Help Evolving Agents in Dynamic Environments but at the Cost of Volatility","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Autonomous and Adaptive Systems","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Norges Forskningsråd; Universitetet i Oslo; Aston University","keywords":"Computer science; Process (computing); Task (project management); Neuromodulation; Artificial intelligence; Human–computer interaction; Neuroscience; Psychology; Engineering","score_opus":0.06372176393739751,"score_gpt":0.25309000645584667,"score_spread":0.18936824251844916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205866692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98190355,0.000024245475,0.01606788,0.0005830093,0.00024315312,0.00066368654,0.00042277394,0.000022853723,0.00006886239],"genre_scores_gemma":[0.99921006,0.000025299541,0.000015218168,0.00015672205,0.000008674902,0.00004451027,0.0000037293257,0.000013984915,0.0005218268],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873096,0.00015850557,0.0003066862,0.0003935311,0.0002095494,0.00020074488],"domain_scores_gemma":[0.99932617,0.00024828786,0.00013040993,0.00019119745,0.000010430128,0.000093505136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008706234,0.0001611,0.0002094492,0.000046978763,0.00025175742,0.000031337917,0.00017738284,0.00005712,0.0000411118],"category_scores_gemma":[0.000056850236,0.00012415346,0.00006167422,0.00014586268,0.00014455114,0.000102554426,0.000022135348,0.00022903139,0.000007525288],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012494075,0.001225783,0.034337807,0.00024815396,0.00011237196,0.000101880396,0.0044140653,0.10032072,0.8222449,0.0004542072,0.000074656244,0.035216074],"study_design_scores_gemma":[0.0009812044,0.00057268736,0.124274895,0.00007258738,0.000047023994,0.00002550304,0.00088884163,0.8570075,0.015536207,0.0000316,0.00027222163,0.00028974647],"about_ca_topic_score_codex":0.0006636561,"about_ca_topic_score_gemma":0.0006110795,"teacher_disagreement_score":0.8067087,"about_ca_system_score_codex":0.00021677303,"about_ca_system_score_gemma":0.000022604856,"threshold_uncertainty_score":0.5062831},"labels":[],"label_agreement":null},{"id":"W4206137362","doi":"10.7554/elife.67256.sa2","title":"Author response: Rotational dynamics in motor cortex are consistent with a feedback controller","year":2021,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Dynamics (music); Rotational dynamics; Control theory (sociology); Motor cortex; Controller (irrigation); Neuroscience; Computer science; Psychology; Physics; Control (management); Biology; Artificial intelligence; Acoustics; Quantum mechanics","score_opus":0.043782107952482954,"score_gpt":0.2983576621823447,"score_spread":0.2545755542298618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206137362","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032540694,0.0068075173,0.0011147225,0.9100245,0.010492811,0.009974596,0.008548693,0.00047939684,0.02001706],"genre_scores_gemma":[0.013460863,0.0004915215,0.00024572303,0.022837725,0.00012779953,0.000348375,0.00057268416,0.00008475742,0.96183056],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9961479,0.0006385406,0.00068976596,0.001122218,0.0009717624,0.0004298312],"domain_scores_gemma":[0.9972649,0.0012455402,0.00051459536,0.00044667273,0.0003755403,0.00015270991],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005507947,0.00048793876,0.0009585341,0.00024751452,0.0001241509,0.00014977927,0.0003064953,0.00026281615,0.0009230191],"category_scores_gemma":[0.0021610318,0.00037224332,0.00024203569,0.0006609543,0.00015597825,0.00010224506,0.00011711039,0.00075236824,0.000082040475],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0043792967,0.0005895141,0.00029471712,0.0023285933,0.000092675036,0.0015233245,0.000022405398,0.00011209274,0.009190284,0.006695667,0.97172153,0.0030499024],"study_design_scores_gemma":[0.0044097914,0.0008347898,0.01587011,0.008685876,0.00024456397,0.0006436695,0.00017205357,0.077483356,0.00009017359,0.00028272133,0.8896058,0.0016770962],"about_ca_topic_score_codex":0.00006665472,"about_ca_topic_score_gemma":0.001815366,"teacher_disagreement_score":0.94181347,"about_ca_system_score_codex":0.0006015144,"about_ca_system_score_gemma":0.0005895777,"threshold_uncertainty_score":0.9999903},"labels":[],"label_agreement":null},{"id":"W4206169982","doi":"10.3389/fnsys.2021.767461","title":"Predictive Neuronal Adaptation as a Basis for Consciousness","year":2022,"lang":"en","type":"article","venue":"Frontiers in Systems Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Compute Canada","keywords":"Surprise; Consciousness; Computer science; Adaptation (eye); Artificial neural network; Artificial intelligence; Neural correlates of consciousness; Neuroscience; Machine learning; Psychology; Cognition; Communication","score_opus":0.027859346237953324,"score_gpt":0.24443574328884515,"score_spread":0.21657639705089182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206169982","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82213473,0.00009250187,0.13291028,0.00088281743,0.03877206,0.0032002556,0.00054396025,0.00025609572,0.0012072941],"genre_scores_gemma":[0.99598926,0.000012907466,0.00014543979,0.0014833581,0.00007188707,0.0008859696,0.000004193993,0.000026942878,0.0013800388],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99708337,0.00043359442,0.00036280407,0.00093287433,0.000727004,0.00046033555],"domain_scores_gemma":[0.99908876,0.0002886812,0.0002131698,0.00026892143,0.0000408374,0.000099601624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005051222,0.00018139748,0.00023791734,0.00034723006,0.00076645665,0.00013186394,0.00058350246,0.000034971286,0.000006960815],"category_scores_gemma":[0.0011323247,0.00019033697,0.00007869889,0.0011111686,0.00021432036,0.00037797756,0.00017210247,0.00026658687,0.0000026503349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011229871,0.0005170212,0.008610029,0.00013099803,0.0000038350727,0.00017050027,0.0018336303,0.37335846,0.57806784,0.015493798,0.016515011,0.0041758795],"study_design_scores_gemma":[0.00075166684,0.0010345965,0.002025084,0.00001811858,0.000008563964,0.00016194912,0.0014616487,0.96546125,0.003123646,0.0011398462,0.02449085,0.0003227473],"about_ca_topic_score_codex":0.000053545322,"about_ca_topic_score_gemma":0.000002946785,"teacher_disagreement_score":0.5921028,"about_ca_system_score_codex":0.00022773008,"about_ca_system_score_gemma":0.00016637129,"threshold_uncertainty_score":0.7761716},"labels":[],"label_agreement":null},{"id":"W4206213075","doi":"10.3791/52082-v","title":"Investigating the Effects of Antipsychotics and Schizotypy on the N400 Using Event-Related Potentials and Semantic Categorization","year":2014,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Douglas Mental Health University Institute; McGill University","funders":"Brain and Behavior Research Foundation","keywords":"Cognition; Neuroscience; Functional magnetic resonance imaging; Categorization; N400; Cognitive neuroscience; Brain activity and meditation; Psychology; Event-related potential; Temporal resolution; Contrast (vision); Cognitive psychology; Brain mapping; Computer science; Electroencephalography; Artificial intelligence; Physics","score_opus":0.030869515753840254,"score_gpt":0.3685805642389313,"score_spread":0.33771104848509104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206213075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99691904,0.00011103299,0.0019154622,0.00024407047,0.0006003111,0.0001862166,3.8709632e-7,0.0000049165546,0.000018589084],"genre_scores_gemma":[0.99935395,0.00009941243,0.00010574814,0.000370079,0.000043843593,8.7370955e-7,2.2693644e-7,0.000012493698,0.000013405644],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986582,0.00044738475,0.0003753236,0.00012225083,0.0002860992,0.00011076208],"domain_scores_gemma":[0.9986834,0.0005270104,0.0005878919,0.0001045785,0.000048125323,0.00004901303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047797317,0.00010539887,0.00017790042,0.00007223339,0.00022673603,0.0000708765,0.00010670052,0.000041573236,0.000002853909],"category_scores_gemma":[0.0009308817,0.000057201734,0.00004399692,0.00016635284,0.00013005499,0.00012792044,0.000036606096,0.00014726074,4.7950937e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046076802,0.000048908474,0.00043451035,0.000024901687,0.000015658068,0.0000014294944,0.00032367388,0.00009031942,0.99410856,0.004471561,0.000011775526,0.00042263672],"study_design_scores_gemma":[0.0012735381,0.00050932827,0.0028970381,0.00028843444,0.000050220777,0.00007058745,0.000098777855,0.055173744,0.9360838,0.0034520673,0.000014977334,0.00008749024],"about_ca_topic_score_codex":0.000004737941,"about_ca_topic_score_gemma":1.2259932e-7,"teacher_disagreement_score":0.05802475,"about_ca_system_score_codex":0.00001222757,"about_ca_system_score_gemma":0.0000141018545,"threshold_uncertainty_score":0.23326191},"labels":[],"label_agreement":null},{"id":"W4206222539","doi":"10.1016/j.cub.2020.09.069","title":"The claustrum","year":2020,"lang":"en","type":"review","venue":"Current Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":108,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Institute of Neurological Disorders and Stroke; Howard Hughes Medical Institute","keywords":"Claustrum; Biology; Neuroscience; Consciousness; Cognitive science; Evolutionary biology; Psychology","score_opus":0.17905336837093028,"score_gpt":0.39971159043492466,"score_spread":0.22065822206399438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206222539","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[7.364585e-7,0.9923585,0.000023457123,0.00031009634,0.0064461753,0.00031627523,0.00006161285,0.000052193755,0.0004309229],"genre_scores_gemma":[0.000007067518,0.9991213,8.94454e-7,0.000091012014,0.00048720586,0.0000481755,0.000039883573,0.000015953963,0.00018848901],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986448,0.00032512122,0.0002754853,0.0004460382,0.00005526153,0.00025328013],"domain_scores_gemma":[0.9989118,0.00058577076,0.00019943222,0.000238006,0.000007932776,0.000057045796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000072851704,0.00021156548,0.000492398,0.000032374577,0.00019508632,0.000041192554,0.00047452378,0.0001348583,0.000019321347],"category_scores_gemma":[0.0004209631,0.000106570755,0.00025282477,0.00022243705,0.00016279254,0.000015713222,0.00018433726,0.0005423025,0.00060060126],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000010859468,0.00000516048,2.4514566e-7,0.00036160412,0.000002795578,0.0000015507786,8.539182e-7,7.2346853e-9,0.000012765455,0.015137977,0.0020137061,0.9824622],"study_design_scores_gemma":[0.000023770233,0.0000459555,1.3103761e-7,0.00024226528,0.0000378634,0.000022314696,2.8342419e-7,0.000020662426,0.0000027697827,0.00080238364,0.9986845,0.00011705673],"about_ca_topic_score_codex":3.8063524e-7,"about_ca_topic_score_gemma":5.776105e-7,"teacher_disagreement_score":0.99667084,"about_ca_system_score_codex":0.000031522704,"about_ca_system_score_gemma":0.00007144413,"threshold_uncertainty_score":0.7719714},"labels":[],"label_agreement":null},{"id":"W4206224004","doi":"10.3410/f.1016531.200897","title":"Faculty Opinions recommendation of Balanced inhibition underlies tuning and sharpens spike timing in auditory cortex.","year":2003,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Excitatory postsynaptic potential; Receptive field; Neuroscience; Inhibitory postsynaptic potential; Auditory cortex; Lateral inhibition; Cortex (anatomy); Psychology","score_opus":0.04971950755412567,"score_gpt":0.3397683368677714,"score_spread":0.29004882931364573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206224004","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000023720586,0.0001877775,0.00004068159,0.06290117,0.001370563,0.0009778949,0.93440604,0.000027283118,0.00006485395],"genre_scores_gemma":[0.00017975153,0.0005331466,0.00017443163,0.0053332495,0.00015439566,0.00010646247,0.99304867,0.000021727938,0.0004481708],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99620974,0.00053512875,0.0012582203,0.00075426995,0.000927449,0.00031520048],"domain_scores_gemma":[0.99646467,0.0002536888,0.0012784259,0.0007009102,0.001137653,0.00016462646],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009181922,0.00041538262,0.0006977299,0.00043287815,0.00023893213,0.00014248236,0.00054474425,0.00046760336,0.0001597702],"category_scores_gemma":[0.0067113386,0.0002980884,0.00024517401,0.0016152132,0.00033945325,0.000477586,0.0003056345,0.0009612984,0.000013852531],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000099438075,0.00016318273,0.0000064374212,0.0030605758,0.00001215164,6.061704e-7,0.000057488756,3.7348647e-7,0.00028559638,0.0003422063,0.9950533,0.0010081758],"study_design_scores_gemma":[0.00055595837,0.00010293206,0.0019728018,0.008317461,0.000047291407,0.000047332273,0.000024526484,0.00010451003,0.00009102157,0.00007641619,0.9883804,0.00027939654],"about_ca_topic_score_codex":0.000026608524,"about_ca_topic_score_gemma":0.000012567004,"teacher_disagreement_score":0.05864261,"about_ca_system_score_codex":0.00012923607,"about_ca_system_score_gemma":0.00021054523,"threshold_uncertainty_score":0.99994713},"labels":[],"label_agreement":null},{"id":"W4206307626","doi":"10.3791/3282-v","title":"Recording Large-scale Neuronal Ensembles with Silicon Probes in the Anesthetized Rat","year":2011,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Heritage Foundation for Medical Research","keywords":"Electrophysiology; Neuroscience; Somatosensory system; Premovement neuronal activity; Forelimb; Neuron; Local field potential; Cortical neurons; Electrode; SIGNAL (programming language); Computer science; Physics; Biology","score_opus":0.05441131545486418,"score_gpt":0.35681517327971185,"score_spread":0.3024038578248477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206307626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99830735,0.00004547559,0.00018042774,0.00018240848,0.00036641178,0.00021526158,9.871087e-7,0.000012333012,0.0006893715],"genre_scores_gemma":[0.99838835,0.000044086948,0.0004463309,0.0009201788,0.000064062624,0.000011696456,4.764673e-7,0.000019081135,0.00010570959],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99832296,0.00037557617,0.00040730907,0.00019956409,0.00043593222,0.00025864382],"domain_scores_gemma":[0.99927723,0.00011250279,0.00035180376,0.00014874045,0.000047480866,0.00006222081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004620981,0.00015362886,0.00023879237,0.000142424,0.00012203281,0.00006535685,0.00031214344,0.00004071879,0.00007696351],"category_scores_gemma":[0.000077580946,0.000087009495,0.00009041297,0.0002540042,0.000056284556,0.00032993403,0.00003303138,0.00023039243,0.0000060063903],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015295927,0.00071151624,0.0026760893,0.000007905069,0.0000064207848,0.00020036593,0.0045333114,0.000007594637,0.98906386,0.00058639696,0.00023185213,0.00044508805],"study_design_scores_gemma":[0.004062373,0.00166682,0.0029633539,0.00010427909,0.000018624156,0.0008295314,0.0015631765,0.00071931066,0.9853134,0.00057400594,0.0019760435,0.00020903863],"about_ca_topic_score_codex":0.000011702169,"about_ca_topic_score_gemma":0.000005739646,"teacher_disagreement_score":0.003750424,"about_ca_system_score_codex":0.000030542156,"about_ca_system_score_gemma":0.00003440114,"threshold_uncertainty_score":0.35481444},"labels":[],"label_agreement":null},{"id":"W4206411254","doi":"10.1016/j.tics.2021.11.007","title":"Intrinsic neural timescales: temporal integration and segregation","year":2022,"lang":"en","type":"review","venue":"Trends in Cognitive Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":233,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Royal Ottawa Mental Health Centre","funders":"Economic and Social Research Council; Wellcome Trust","keywords":"Psychology; Magnetoencephalography; Perception; Hierarchy; Neuroscience; Cognitive psychology; Electroencephalography","score_opus":0.2798414833323114,"score_gpt":0.4239091031212015,"score_spread":0.1440676197888901,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206411254","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0041689114,0.97508395,0.000041379157,0.00023663677,0.0017492882,0.00090263895,0.0002320326,0.00015722356,0.017427964],"genre_scores_gemma":[0.03387517,0.96454406,0.00003350423,0.00019515154,0.00007518586,0.00013681407,0.00014430162,0.000021343729,0.0009744872],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973715,0.00053056836,0.0004252702,0.000942731,0.00044372957,0.00028620745],"domain_scores_gemma":[0.99849665,0.0010119115,0.00031275966,0.00010197685,0.000019590592,0.00005710243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055285415,0.00031109308,0.00055446767,0.00105508,0.00040013777,0.00019556165,0.00027767266,0.000094839736,0.00045517544],"category_scores_gemma":[0.00063424016,0.00023471289,0.00013046789,0.0026229434,0.00061581726,0.0004502477,0.00018730377,0.00051782076,0.000012006559],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000050816598,0.000028233586,0.000018316083,0.0001216447,0.0000013878932,0.000015370304,0.000057619105,8.72303e-7,0.0000055646788,0.00060609734,0.000025876401,0.9991139],"study_design_scores_gemma":[0.0020915493,0.0038680232,0.0010942097,0.010107753,0.0007764707,0.0011731978,0.0015503297,0.027082894,0.00021975352,0.0095007615,0.93837297,0.004162103],"about_ca_topic_score_codex":0.000034776174,"about_ca_topic_score_gemma":0.00007461033,"teacher_disagreement_score":0.99495184,"about_ca_system_score_codex":0.00009070448,"about_ca_system_score_gemma":0.00008712875,"threshold_uncertainty_score":0.9571314},"labels":[],"label_agreement":null},{"id":"W4206611890","doi":"10.1093/cercor/bhab528","title":"Propofol anesthesia concentration rather than abrupt behavioral unresponsiveness linearly degrades responses in the rat primary auditory cortex","year":2021,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Azrieli Foundation; Israel Science Foundation","keywords":"Propofol; Auditory cortex; Anesthesia; Neuroscience; Medicine; Cortex (anatomy); Psychology","score_opus":0.03598184008955218,"score_gpt":0.2825772585316492,"score_spread":0.24659541844209704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206611890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961343,0.00010190799,0.000050125964,0.0019949174,0.0007998807,0.0005893591,0.000014116304,0.00008501398,0.00023042316],"genre_scores_gemma":[0.9938668,0.000039273626,0.000046362376,0.0027359552,0.0002546082,0.000063158426,0.000047215693,0.000035741385,0.002910871],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99681723,0.0011996941,0.0003762884,0.000659163,0.00052226125,0.00042534943],"domain_scores_gemma":[0.9986592,0.0004982003,0.00016600647,0.0004793816,0.0001143911,0.00008284333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036406645,0.00026819474,0.0002633703,0.00008002288,0.0002951026,0.00026862926,0.0003607394,0.0001397841,0.00009071911],"category_scores_gemma":[0.00026407512,0.00020009704,0.00012740916,0.0006176758,0.00024277682,0.00042868094,0.000055924243,0.00039630645,0.00005216122],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006517601,0.0003487986,0.018176576,0.00002353219,0.0000033633974,0.0013484783,0.0005158681,0.00001163539,0.97460717,0.0014255061,0.00069964025,0.0021876607],"study_design_scores_gemma":[0.001228736,0.00057407195,0.8929809,0.00007155375,0.000045068413,0.0008887395,0.0005499696,0.0010019814,0.09569714,0.00049305253,0.005957106,0.0005116851],"about_ca_topic_score_codex":0.00003228202,"about_ca_topic_score_gemma":0.00011053849,"teacher_disagreement_score":0.87891006,"about_ca_system_score_codex":0.00011789989,"about_ca_system_score_gemma":0.00040991552,"threshold_uncertainty_score":0.8159721},"labels":[],"label_agreement":null},{"id":"W4206940381","doi":"10.1101/2022.01.19.476936","title":"Tracking the dynamics of perisaccadic visual signals with magnetoencephalography","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Canada First Research Excellence Fund; Health Canada; National Institutes of Health; Fondation Brain Canada; McGill University","keywords":"Magnetoencephalography; Saccade; Eye movement; Computer science; Visual cortex; Computer vision; Artificial intelligence; Stimulus (psychology); Neuroscience; Visual perception; Visual processing; Perception; Psychology; Electroencephalography; Cognitive psychology","score_opus":0.016617881418841865,"score_gpt":0.22983157893420086,"score_spread":0.213213697515359,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206940381","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995098,0.00020884065,0.0017011616,0.00039983966,0.0010772,0.0008836866,0.0003587052,0.00023348813,0.000039069175],"genre_scores_gemma":[0.99863744,0.00017883645,0.00024563342,0.00045768532,0.00014635028,0.00020332349,5.184593e-7,0.000118227,0.000012007507],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99656624,0.00038805444,0.0005489132,0.0011257168,0.00083585,0.00053525437],"domain_scores_gemma":[0.99762475,0.0003028671,0.00071975193,0.001008925,0.00020607072,0.0001376471],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005786547,0.0005206787,0.00051398366,0.00034628026,0.00047086924,0.00024249451,0.0010412668,0.00021823963,0.00020774723],"category_scores_gemma":[0.00021955365,0.00040213598,0.00024059082,0.0013018344,0.00044952735,0.00018540265,0.00060812,0.0012507701,0.000006068069],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010440371,0.00022233192,0.005861112,0.00019481932,0.000051637926,0.00008344926,0.000023262237,0.0025669776,0.98710614,0.0037341563,0.000037899157,0.000013835811],"study_design_scores_gemma":[0.001637002,0.0020111573,0.17390184,0.0006812112,0.00060225767,6.3584076e-7,0.000113013724,0.11609038,0.69814193,0.0000654795,0.0034983847,0.0032567175],"about_ca_topic_score_codex":0.000056435845,"about_ca_topic_score_gemma":0.000007334983,"teacher_disagreement_score":0.28896418,"about_ca_system_score_codex":0.00017905742,"about_ca_system_score_gemma":0.00031594964,"threshold_uncertainty_score":0.99984306},"labels":[],"label_agreement":null},{"id":"W4206978743","doi":"10.1101/2022.01.24.477526","title":"Multilevel Development of Cognitive Abilities in an Artificial Neural Network","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute; Centre Hospitalier Universitaire Sainte-Justine","funders":"Horizon 2020 Framework Programme; Institut de Valorisation des Données; European Commission","keywords":"Cognition; Workspace; Perception; Computer science; Information processing; Representation (politics); Task (project management); Cognitive psychology; Sensory system; Artificial neural network; Psychology; Artificial intelligence; Neuroscience","score_opus":0.044951447312727925,"score_gpt":0.25785574490409296,"score_spread":0.21290429759136503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206978743","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99641615,0.000047013644,0.00030661098,0.00003874824,0.0019712597,0.00081319443,0.00024541497,0.0001538414,0.0000077486675],"genre_scores_gemma":[0.99810845,0.000012125231,0.0010246696,0.000220527,0.00023865212,0.00031016106,9.854646e-7,0.000080121805,0.000004315271],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9965302,0.00040847805,0.00081858266,0.0011591022,0.0005185106,0.000565176],"domain_scores_gemma":[0.9982765,0.00036794387,0.0004676834,0.0005649169,0.00017817688,0.00014479588],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000643496,0.00043262882,0.0005115146,0.00027704317,0.0002657345,0.00011448565,0.0005131369,0.00022705787,0.00013009369],"category_scores_gemma":[0.00064785086,0.00048561266,0.0001052681,0.0005375615,0.00017552216,0.00020148428,0.00074133987,0.00090360723,0.000008336795],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020896792,0.00048548862,0.008515315,0.00020781941,0.000017522712,0.000064034786,0.00016929772,0.005826153,0.983251,0.0011864918,0.0000128847505,0.000055052315],"study_design_scores_gemma":[0.0007121434,0.00024743954,0.32648194,0.00045610446,0.00004731515,2.682372e-8,0.000060702783,0.041085273,0.6291111,0.000048088405,0.00035481324,0.0013950126],"about_ca_topic_score_codex":0.000029114002,"about_ca_topic_score_gemma":0.000025488622,"teacher_disagreement_score":0.35413983,"about_ca_system_score_codex":0.0002642073,"about_ca_system_score_gemma":0.0005481464,"threshold_uncertainty_score":0.99975955},"labels":[],"label_agreement":null},{"id":"W4206994710","doi":"10.31219/osf.io/8enxy","title":"Are we in time? How predictive coding and dynamical systems explain musical synchrony","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Anticipation (artificial intelligence); Predictive coding; Musical; Synchronization (alternating current); Cognitive science; Coding (social sciences); Dynamical systems theory; Contrast (vision); Cognitive psychology; Computer science; Psychology; Communication; Artificial intelligence; Sociology; Art","score_opus":0.0354198391732339,"score_gpt":0.24786046614555854,"score_spread":0.21244062697232463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206994710","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98749685,0.000107487605,0.0055862386,0.003241255,0.0016545774,0.0007906417,0.00011443183,0.00016556577,0.0008429509],"genre_scores_gemma":[0.99724257,0.00024764397,0.000052004423,0.00025743537,0.00016374665,0.000090171314,0.000029062114,0.000033053766,0.0018843419],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972839,0.0004062999,0.00029345034,0.0012093507,0.00045997533,0.00034707418],"domain_scores_gemma":[0.9987425,0.0004802997,0.00023146988,0.0003646886,0.00004185116,0.00013915438],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002581998,0.00033051393,0.0005222294,0.00017910007,0.000093594994,0.0006333474,0.00027616153,0.00037915897,0.00004305943],"category_scores_gemma":[0.00053895096,0.00029405803,0.000092788636,0.00019925016,0.00013380435,0.00016403428,0.0010941662,0.00095260964,0.000007594109],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00082507,0.0021066214,0.019798052,0.0068081687,0.00019692162,0.008979689,0.0024860182,0.03474711,0.88398165,0.021147707,0.011541914,0.007381111],"study_design_scores_gemma":[0.0003587079,0.000064990476,0.0043245484,0.00094723393,0.000019256751,0.00011168864,0.0004462739,0.992111,0.00082466356,0.00023055098,0.00016035234,0.0004007271],"about_ca_topic_score_codex":0.000040841504,"about_ca_topic_score_gemma":0.000060308328,"teacher_disagreement_score":0.9573639,"about_ca_system_score_codex":0.00023043575,"about_ca_system_score_gemma":0.0000546799,"threshold_uncertainty_score":0.9999512},"labels":[],"label_agreement":null},{"id":"W4207003902","doi":"10.1101/2022.01.21.476869","title":"A survey of neurophysiological differentiation across mouse visual brain areas and timescales","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"Tiny Blue Dot Foundation","keywords":"Visual cortex; Stimulus (psychology); Neuroscience; Neurophysiology; Perception; Brain activity and meditation; Visual perception; Thalamus; Psychology; Electroencephalography; Cognitive psychology","score_opus":0.028865026551559998,"score_gpt":0.2606501885442343,"score_spread":0.23178516199267427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4207003902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971824,0.000058946254,0.0002052576,0.000105280546,0.0006903943,0.00046296002,0.0011117221,0.00018143452,0.0000015539644],"genre_scores_gemma":[0.99926984,0.00012130068,0.000041787047,0.00033006066,0.0000761621,0.00007132672,0.0000024259184,0.00007028059,0.000016816515],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99670476,0.0008275982,0.00047586233,0.0011549096,0.00043022813,0.00040666718],"domain_scores_gemma":[0.99808174,0.0005256553,0.00048909435,0.00059427763,0.00015645342,0.00015277228],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00052724604,0.00040622786,0.0005207453,0.0001261507,0.00026749994,0.00016562156,0.0004095161,0.0002500147,0.00005863107],"category_scores_gemma":[0.0016007703,0.00039307436,0.00011120983,0.00044505976,0.00023005369,0.00011528822,0.001266891,0.00071543176,0.000006834252],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009204699,0.00020959771,0.0127595775,0.00012131235,0.0000142458075,0.000015864103,0.0000055378505,0.000113287926,0.9864512,0.00015993293,0.000052477164,0.0000049101996],"study_design_scores_gemma":[0.00027387554,0.00017476034,0.78965354,0.000027253003,0.000014895571,1.580359e-8,9.3611067e-7,0.007818374,0.20158651,0.0000027429965,0.0000851717,0.0003619016],"about_ca_topic_score_codex":0.00011540017,"about_ca_topic_score_gemma":0.000006069238,"teacher_disagreement_score":0.78486466,"about_ca_system_score_codex":0.00007959496,"about_ca_system_score_gemma":0.00010190882,"threshold_uncertainty_score":0.9998521},"labels":[],"label_agreement":null},{"id":"W4207039587","doi":"10.1101/2022.01.21.477243","title":"Time-resolved parameterization of aperiodic and periodic brain activity","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Canada First Research Excellence Fund; Health Canada; National Institutes of Health; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada; McGill University","keywords":"Aperiodic graph; Computer science; Spectral density; Artificial neural network; Artificial intelligence; Pattern recognition (psychology); Biological system; Statistical physics; Mathematics; Physics","score_opus":0.017867304111727014,"score_gpt":0.22402410176470983,"score_spread":0.2061567976529828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4207039587","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970084,0.00007794295,0.00041827012,0.00047856808,0.000763065,0.000671028,0.000355731,0.00021610294,0.000010912984],"genre_scores_gemma":[0.99890935,0.00010079094,0.00026517943,0.00040583967,0.00008513098,0.00013009067,5.0241357e-7,0.00008192723,0.000021199214],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9972834,0.00039627103,0.00038790802,0.0011061359,0.0004678585,0.00035844196],"domain_scores_gemma":[0.99818736,0.0002229351,0.0005232554,0.00082164584,0.00009070467,0.00015408585],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042262246,0.00040930408,0.00051359006,0.00027006541,0.00031077696,0.00019498865,0.000397175,0.00025673912,0.00020177609],"category_scores_gemma":[0.0008496771,0.00045045078,0.00012904225,0.00052180595,0.0003196927,0.00019075582,0.0007981517,0.0006676182,0.000014206053],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006415738,0.00010461212,0.00068526674,0.00021891057,0.000015309231,0.00001815193,0.000014988623,0.00012468814,0.99845433,0.00023047709,0.00005650326,0.000012579017],"study_design_scores_gemma":[0.0008939097,0.00041187357,0.086118504,0.00019689927,0.00011015895,1.075035e-7,0.0000055285013,0.063707665,0.8426949,0.00000927792,0.0045694853,0.0012817209],"about_ca_topic_score_codex":0.000023100263,"about_ca_topic_score_gemma":5.500395e-7,"teacher_disagreement_score":0.15575948,"about_ca_system_score_codex":0.00014054836,"about_ca_system_score_gemma":0.0002523438,"threshold_uncertainty_score":0.9997947},"labels":[],"label_agreement":null},{"id":"W4207067068","doi":"10.1038/s42256-021-00430-y","title":"Neurons learn by predicting future activity","year":2022,"lang":"en","type":"article","venue":"Nature Machine Intelligence","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; Defense Advanced Research Projects Agency; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Compute Canada","keywords":"Surprise; Predictive coding; Computer science; Artificial intelligence; Neuroscience; Machine learning; Artificial neural network; Coding (social sciences); Psychology; Mathematics; Communication","score_opus":0.010743879025906233,"score_gpt":0.2650758268683593,"score_spread":0.25433194784245305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4207067068","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9562606,0.00090954296,0.0074210465,0.01732826,0.008658282,0.0006835991,0.00058603083,0.0006435479,0.007509041],"genre_scores_gemma":[0.99317163,0.00007244178,0.00003062081,0.0034814982,0.00026694685,0.00002958545,0.000016482749,0.000030499725,0.0029002947],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99801224,0.000269758,0.0001704879,0.00064209854,0.00057232036,0.00033308007],"domain_scores_gemma":[0.9991504,0.00028733886,0.00012804939,0.0003220262,0.000022873746,0.000089290275],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00022466849,0.00020095182,0.00014666704,0.0000908693,0.0007682424,0.00006401125,0.0005565175,0.000111291505,0.00053401466],"category_scores_gemma":[0.00041511343,0.00018495163,0.000096096024,0.0006550495,0.000057627258,0.00017322761,0.00038254965,0.0028360437,0.00002401163],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022161595,0.00033406809,0.0016493807,0.000024870638,0.000007710148,0.00009067186,0.00017848334,0.003534735,0.7616223,0.005522081,0.0140118925,0.21280216],"study_design_scores_gemma":[0.00020005729,0.00073619554,0.0012458581,0.000008926856,0.000021581001,0.00040395706,0.00013933839,0.19059885,0.39724937,0.0025585443,0.40616655,0.00067077717],"about_ca_topic_score_codex":0.00004714086,"about_ca_topic_score_gemma":0.000015594665,"teacher_disagreement_score":0.39215466,"about_ca_system_score_codex":0.00008289143,"about_ca_system_score_gemma":0.000028350807,"threshold_uncertainty_score":0.99946445},"labels":[],"label_agreement":null},{"id":"W4207070314","doi":"10.1142/s0218127422300014","title":"Meet ANIBOT: The First Biologically-Inspired Animal Robot","year":2022,"lang":"en","type":"article","venue":"International Journal of Bifurcation and Chaos","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Realization (probability); Central pattern generator; Robot; Jump; Computer science; Generator (circuit theory); CpG site; Topology (electrical circuits); Artificial intelligence; Mathematics; Physics; Engineering; Biology; Power (physics); Electrical engineering","score_opus":0.029727959015715927,"score_gpt":0.263207343215518,"score_spread":0.23347938419980205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4207070314","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9512583,0.000069481,0.00038462805,0.046097282,0.0013663908,0.00009199812,0.000019234021,0.00001445567,0.0006982548],"genre_scores_gemma":[0.9946149,0.00010423976,0.00002903268,0.0048615527,0.00023065569,0.0000069655393,0.000001922971,0.0000048771753,0.00014588419],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990803,0.000074739655,0.0002464281,0.0001180455,0.00040335453,0.00007715189],"domain_scores_gemma":[0.99939513,0.00012643517,0.00027951336,0.00006106589,0.000103916274,0.000033931876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002571885,0.00006435747,0.00007323614,0.00009387236,0.00026161186,0.00007224153,0.0003638183,0.000017420736,0.00017319863],"category_scores_gemma":[0.00015384972,0.000042007014,0.000060696762,0.00011346193,0.000056773457,0.00012658347,0.0001157497,0.0001564252,0.0000034903849],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000915911,0.0004414736,0.0046896017,0.00000610061,0.0000642616,0.000119069635,0.0009026297,0.0025233128,0.8993615,0.063490555,0.0046582776,0.022827303],"study_design_scores_gemma":[0.0042999624,0.0037106967,0.19765611,0.000055664947,0.00006736197,0.006416335,0.0014605024,0.0525068,0.050937288,0.017261934,0.66493005,0.00069731876],"about_ca_topic_score_codex":0.00000536122,"about_ca_topic_score_gemma":0.000004962069,"teacher_disagreement_score":0.8484242,"about_ca_system_score_codex":0.00005429251,"about_ca_system_score_gemma":0.000024045452,"threshold_uncertainty_score":0.20121333},"labels":[],"label_agreement":null},{"id":"W4207072344","doi":"10.31234/osf.io/538fw","title":"Predictive neuronal adaptation as a basis for consciousness.","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Compute Canada","keywords":"Surprise; Consciousness; Computer science; Adaptation (eye); Artificial neural network; Artificial intelligence; Stimulus (psychology); Machine learning; Neuroscience; Cognitive psychology; Psychology; Communication","score_opus":0.04636434681688731,"score_gpt":0.27419714932964123,"score_spread":0.22783280251275392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4207072344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8479296,0.000029424173,0.12878785,0.0031578941,0.0059914137,0.0020593118,0.00047269798,0.00038679302,0.011185036],"genre_scores_gemma":[0.9925348,0.000058989895,0.0008721806,0.002804336,0.00019053907,0.00033452213,0.00011305975,0.000035385117,0.0030561443],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981935,0.00011220129,0.00025363875,0.000901922,0.00031306784,0.00022567026],"domain_scores_gemma":[0.9986769,0.0006314956,0.00016575574,0.00028924926,0.00015781773,0.000078815174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010680755,0.00022833729,0.00023739833,0.00009541058,0.00014893318,0.00021757412,0.0002091537,0.00018304639,0.00021206588],"category_scores_gemma":[0.0013277679,0.00021435418,0.00020647571,0.00012635793,0.000073922354,0.00012242851,0.000319857,0.000336256,0.000016766153],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001604117,0.0010425794,0.00026588194,0.0010761309,0.00015686956,0.00017737361,0.0025093998,0.07285096,0.7804255,0.07815637,0.008934954,0.0527999],"study_design_scores_gemma":[0.0008459483,0.00069439516,0.0012600377,0.0001737061,0.00013747111,0.000062233805,0.0006037037,0.82342833,0.14583251,0.02296354,0.0031807502,0.00081734534],"about_ca_topic_score_codex":0.000079647136,"about_ca_topic_score_gemma":0.000059246904,"teacher_disagreement_score":0.7505774,"about_ca_system_score_codex":0.00006881976,"about_ca_system_score_gemma":0.00030688406,"threshold_uncertainty_score":0.874111},"labels":[],"label_agreement":null},{"id":"W4210367280","doi":"10.1007/s10548-022-00889-x","title":"A Roadmap for Computational Modelling of M/EEG","year":2022,"lang":"en","type":"editorial","venue":"Brain Topography","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Ottawa; University Health Network","funders":"Charité – Universitätsmedizin Berlin; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Deutsche Forschungsgemeinschaft","keywords":"Electroencephalography; Computer science; Neurology; Artificial intelligence; Machine learning; Psychology; Neuroscience","score_opus":0.030833462874002345,"score_gpt":0.2669725894343312,"score_spread":0.23613912656032887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210367280","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010775125,0.00011890686,0.05692694,0.0005182852,0.9368181,0.0009568038,0.0027294469,0.00012315079,0.0007308244],"genre_scores_gemma":[0.031998936,0.00030671497,0.008797283,0.0022166003,0.945478,0.0010679904,0.0047928784,0.0003965625,0.004945029],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976391,0.00012122734,0.0004204122,0.00066774385,0.0008727176,0.00027875227],"domain_scores_gemma":[0.99517006,0.004002691,0.00037652566,0.00025750988,0.00013312948,0.000060111728],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034735998,0.0002485331,0.00036111352,0.00045716087,0.0002509393,0.000051207466,0.0004145191,0.00023885594,0.00009459683],"category_scores_gemma":[0.0007608185,0.000260122,0.00049459696,0.00058460166,0.00010997419,0.00008762608,0.000107839296,0.00045329865,0.0000018642556],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001161971,0.000086443055,0.0000025142929,0.00014041638,0.00001810919,0.0000029737755,0.00003943941,0.09036201,0.00096726505,0.004332056,0.9030813,0.00085128704],"study_design_scores_gemma":[0.0005264626,0.00028995203,0.0000031005084,0.000024334113,0.000024603329,0.000001353139,0.000010992737,0.0952275,0.00012416381,0.022231828,0.8812686,0.0002670822],"about_ca_topic_score_codex":0.000025911424,"about_ca_topic_score_gemma":0.0000026170708,"teacher_disagreement_score":0.048129655,"about_ca_system_score_codex":0.00003361703,"about_ca_system_score_gemma":0.00014507369,"threshold_uncertainty_score":0.9999851},"labels":[],"label_agreement":null},{"id":"W4210374016","doi":"10.3389/fncir.2022.799581","title":"Neural Substrates and Models of Omission Responses and Predictive Processes","year":2022,"lang":"en","type":"review","venue":"Frontiers in Neural Circuits","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; International Laboratory for Brain, Music and Sound Research","funders":"Universität Leipzig; Deutsche Forschungsgemeinschaft","keywords":"Neuroscience; Psychology; Corollary; Connectionism; Computational model; Cognitive science; Cognition; Computer science; Artificial intelligence","score_opus":0.08033379983322808,"score_gpt":0.29364078676549643,"score_spread":0.21330698693226835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210374016","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014574108,0.9828055,0.00004932455,0.000027216649,0.0010065129,0.0009769623,0.00032867494,0.000047745045,0.00018398045],"genre_scores_gemma":[0.052836504,0.94669217,0.00001496049,0.000052406103,0.000038488517,0.00010393366,0.000031598764,0.0000514125,0.00017854132],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99727845,0.00053092174,0.00060079724,0.0008912275,0.0003574303,0.00034120076],"domain_scores_gemma":[0.998421,0.0007723885,0.00042509465,0.00023618559,0.000029089522,0.00011620217],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021328065,0.0004263908,0.0011403887,0.000490911,0.0001744129,0.00006941975,0.000306929,0.00017676513,0.00000972581],"category_scores_gemma":[0.00079213304,0.00035739728,0.00011116082,0.00079545163,0.00025686523,0.00043941263,0.00019896994,0.0006045358,1.8522604e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013020071,0.00007879092,0.00023976169,0.011717831,0.000017550943,0.00009771239,0.00023477412,0.00020548118,0.00020701924,0.0000750589,0.00028576952,0.9867101],"study_design_scores_gemma":[0.0058711777,0.006996258,0.001893545,0.02284579,0.0025137353,0.0040688515,0.0014259699,0.36039692,0.0015852504,0.022915946,0.56203616,0.007450377],"about_ca_topic_score_codex":0.0000066382354,"about_ca_topic_score_gemma":0.0000019591482,"teacher_disagreement_score":0.97925967,"about_ca_system_score_codex":0.00006831486,"about_ca_system_score_gemma":0.00014667661,"threshold_uncertainty_score":0.9998878},"labels":[],"label_agreement":null},{"id":"W4210465778","doi":"10.1016/j.biopsycho.2022.108283","title":"Resting-state networks of believers and non-believers: An EEG microstate study","year":2022,"lang":"en","type":"article","venue":"Biological Psychology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Ministate; Psychology; Agnosticism; Electroencephalography; Resting state fMRI; Atheism; Representation (politics); Cognitive psychology; Epistemology; Philosophy; Neuroscience","score_opus":0.06154203723677654,"score_gpt":0.3262954880590278,"score_spread":0.26475345082225127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210465778","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979675,0.00002107597,0.00023598508,0.00027199028,0.0006848377,0.00036474882,0.0000332038,0.000048997394,0.00037167556],"genre_scores_gemma":[0.996911,0.000055555876,0.00004663325,0.002786996,0.00002526137,0.000028634453,0.000009501185,0.000010135008,0.00012631665],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99811476,0.0005344873,0.0002791623,0.0006616168,0.00011062827,0.00029932865],"domain_scores_gemma":[0.9992647,0.00022608855,0.00015114926,0.00025880244,0.00001843303,0.0000808259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041295693,0.00013994108,0.00021934201,0.00006793845,0.00025717862,0.0000137226725,0.00027314926,0.000059758528,0.000083487874],"category_scores_gemma":[0.00012031515,0.00011085528,0.00003875673,0.00028532042,0.00026690713,0.000050270464,0.00025664933,0.0003261462,0.0000041280273],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010785939,0.0010538003,0.0428103,0.000003251016,0.000009850681,0.00012667084,0.00035320257,0.0013362871,0.9378534,0.00011590627,0.0005629706,0.014695773],"study_design_scores_gemma":[0.0027596704,0.016994566,0.96406376,0.0000039043935,0.000012100331,0.00017274822,0.00058160216,0.007173483,0.0007409514,0.0027050304,0.0043293536,0.0004628394],"about_ca_topic_score_codex":0.00003104366,"about_ca_topic_score_gemma":0.0000065716504,"teacher_disagreement_score":0.93711245,"about_ca_system_score_codex":0.000015485368,"about_ca_system_score_gemma":0.000007441376,"threshold_uncertainty_score":0.45205474},"labels":[],"label_agreement":null},{"id":"W4210478741","doi":"10.1093/cercor/bhab504","title":"Intrinsic dynamics and topography of sensory input systems","year":2022,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Ottawa","funders":"National Key Research and Development Program of China; Canadian Institutes of Health Research","keywords":"Sample entropy; Sensory system; Functional magnetic resonance imaging; Dynamics (music); Computer science; Neuroscience; Artificial intelligence; Biological system; Psychology; Pattern recognition (psychology); Biology","score_opus":0.017517625896669293,"score_gpt":0.22305470260335555,"score_spread":0.20553707670668625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210478741","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99675477,0.00005539106,0.00008485549,0.00016901844,0.00086882175,0.00019689945,0.000089128625,0.000050170715,0.0017309284],"genre_scores_gemma":[0.9983348,0.000018753402,0.0000107463575,0.00040227748,0.00003425298,0.000013208365,0.00000918584,0.00001304204,0.0011637232],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990126,0.00011621193,0.00019263338,0.00028756558,0.00023069655,0.00016030793],"domain_scores_gemma":[0.9995367,0.00008874306,0.000114874,0.00018458145,0.000022331262,0.000052782474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009781706,0.000096516844,0.00015130447,0.00013558187,0.00019476427,0.000027932178,0.00012870166,0.000025670588,0.00004792477],"category_scores_gemma":[0.000046074445,0.000093778115,0.000052761818,0.00035245987,0.00009607791,0.00007958905,0.00018626648,0.00018585354,0.0000026538341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028442737,0.00031292372,0.049451917,0.00031246466,0.000034117205,0.0001264109,0.00031311653,0.0011958276,0.49167582,0.42267728,0.0012655949,0.03235009],"study_design_scores_gemma":[0.003553679,0.0034643854,0.20480315,0.00006901651,0.00012942005,0.0015178593,0.0018503298,0.7375327,0.017921202,0.01033036,0.01707874,0.0017492109],"about_ca_topic_score_codex":0.00005423832,"about_ca_topic_score_gemma":0.000009409977,"teacher_disagreement_score":0.7363368,"about_ca_system_score_codex":0.000040350536,"about_ca_system_score_gemma":0.00001661339,"threshold_uncertainty_score":0.38241604},"labels":[],"label_agreement":null},{"id":"W4210489807","doi":"10.1101/2022.01.31.478431","title":"GLMsingle: a toolbox for improving single-trial fMRI response estimates","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"National Science Foundation","keywords":"Computer science; Functional magnetic resonance imaging; Voxel; Artificial intelligence; Human Connectome Project; Machine learning; Python (programming language); Generalizability theory; Toolbox; Pattern recognition (psychology); Functional connectivity; Neuroscience; Psychology; Mathematics; Statistics","score_opus":0.033604628652932296,"score_gpt":0.24973919806677064,"score_spread":0.21613456941383835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210489807","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9826204,0.00013520858,0.0038354865,0.00068231317,0.008022175,0.0029916056,0.0007867198,0.0009140877,0.000012011628],"genre_scores_gemma":[0.9920543,0.000013514914,0.004854041,0.0007428665,0.0008150581,0.0012190435,8.772844e-7,0.00025639034,0.00004392975],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9951877,0.0004349967,0.0007756549,0.0020103524,0.0006821557,0.000909142],"domain_scores_gemma":[0.9959078,0.0013437152,0.0007762675,0.0014593821,0.00024772045,0.00026514113],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014300284,0.0007383461,0.0006725673,0.00044924082,0.0007983729,0.000769266,0.0009815888,0.0004381043,0.00009790771],"category_scores_gemma":[0.0069123553,0.0008146286,0.0003647325,0.00068738393,0.0001682757,0.0002979669,0.00096247054,0.0010436013,0.000022417998],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011451597,0.00031854564,0.000051283343,0.00028105476,0.000020993944,0.00006992715,0.000007289187,0.0002751149,0.98661876,0.0006572714,0.00023735459,0.000010792162],"study_design_scores_gemma":[0.009192445,0.0015468794,0.0012445272,0.000160683,0.00018393066,1.1957894e-7,0.0000044077397,0.016430663,0.9550012,0.00003051856,0.014581999,0.001622632],"about_ca_topic_score_codex":0.000026645374,"about_ca_topic_score_gemma":0.0000010744023,"teacher_disagreement_score":0.03161758,"about_ca_system_score_codex":0.0007258429,"about_ca_system_score_gemma":0.0007591702,"threshold_uncertainty_score":0.9994305},"labels":[],"label_agreement":null},{"id":"W4210510200","doi":"10.1016/j.neuron.2022.01.005","title":"Orthogonal representations for robust context-dependent task performance in brains and neural networks","year":2022,"lang":"en","type":"article","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":256,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"H2020 European Research Council; Royal Society; European Research Council; Wellcome Trust; Canadian Institute for Advanced Research","keywords":"Artificial neural network; Computer science; Curse of dimensionality; Artificial intelligence; Neural coding; Coding (social sciences); Context (archaeology); Computational neuroscience; Robustness (evolution); Machine learning; Pattern recognition (psychology); Biology; Mathematics","score_opus":0.035128671525583535,"score_gpt":0.2538584100485478,"score_spread":0.2187297385229643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210510200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967112,0.000031900774,0.0007147041,0.0009620798,0.00076558394,0.00048630568,0.000045922385,0.000043166812,0.00023916078],"genre_scores_gemma":[0.996818,0.000031525888,0.000017076989,0.0023425554,0.00006406295,0.000157826,0.00001543495,0.000019065492,0.00053445395],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99879783,0.00012088445,0.00018554596,0.00044425533,0.00020405916,0.00024739202],"domain_scores_gemma":[0.99943495,0.00027464263,0.00006461303,0.00016453731,0.000011817283,0.000049434235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014320483,0.000103518745,0.00011038414,0.00008603446,0.00038816975,0.000047732643,0.00013457466,0.00002148619,0.000027349588],"category_scores_gemma":[0.00011138852,0.000107860826,0.000045697612,0.0002139892,0.00004476107,0.00017433468,0.000152706,0.0002824,7.876572e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037635275,0.00019184039,0.028495256,0.000025329691,0.00000379288,0.000057212575,0.00019840724,0.8840151,0.035995893,0.0040287185,0.0006312584,0.04598087],"study_design_scores_gemma":[0.00075589266,0.00039088808,0.045106467,0.000002088647,0.0000056359017,0.000078124474,0.00004768756,0.9503523,0.00022031549,0.000058642217,0.002855489,0.00012644002],"about_ca_topic_score_codex":0.000015236476,"about_ca_topic_score_gemma":0.000055520235,"teacher_disagreement_score":0.066337265,"about_ca_system_score_codex":0.00003259864,"about_ca_system_score_gemma":0.000013937035,"threshold_uncertainty_score":0.43984368},"labels":[],"label_agreement":null},{"id":"W4210615170","doi":"10.1101/2022.02.01.478650","title":"Dissociable Roles of FEF Neurons in Initiating Saccades","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Saccade; Neuroscience; Context (archaeology); Variable (mathematics); Psychology; Neuron; Eye movement; Computer science; Cognitive psychology; Biology; Mathematics","score_opus":0.024492698343188922,"score_gpt":0.2397008353697217,"score_spread":0.21520813702653277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210615170","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973429,0.000101974314,0.00006374433,0.00019144146,0.001170057,0.00049729977,0.00034202766,0.00018778679,0.00010280982],"genre_scores_gemma":[0.99890256,0.00014425552,0.00022669365,0.0003531842,0.00011990149,0.00014914009,2.714832e-7,0.00009433473,0.000009673401],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9970423,0.0003616364,0.0006240638,0.0009790352,0.0004920875,0.00050089014],"domain_scores_gemma":[0.9981584,0.00032024496,0.0005992117,0.0007268379,0.000084790256,0.00011050308],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005129321,0.00037880504,0.00050876103,0.00037326722,0.00021355858,0.00012761698,0.00067079696,0.00022975629,0.00017386637],"category_scores_gemma":[0.0011571898,0.00043202785,0.00014917564,0.00087099243,0.000108424036,0.00019422821,0.0009839952,0.0011670965,0.000012172766],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022479102,0.00016642208,0.010696366,0.00019697213,0.000009380581,0.00005663018,0.000019682697,0.0014882241,0.98481554,0.0024893512,0.00003549397,0.0000034574996],"study_design_scores_gemma":[0.0006741596,0.00015340772,0.14609616,0.00038422068,0.000057374804,3.279141e-8,0.000024300709,0.008978929,0.8397674,0.00007255319,0.0027095107,0.0010819259],"about_ca_topic_score_codex":0.00006558763,"about_ca_topic_score_gemma":0.000008095806,"teacher_disagreement_score":0.14504811,"about_ca_system_score_codex":0.00023471496,"about_ca_system_score_gemma":0.00029081,"threshold_uncertainty_score":0.99981314},"labels":[],"label_agreement":null},{"id":"W4210707135","doi":"10.1101/2022.02.02.478787","title":"Replay in human visual cortex is linked to the formation of successor representations and independent of consciousness","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Max-Planck-Institut für Bildungsforschung; International Max Planck Research School for Advanced Methods in Process and Systems Engineering; International Max Planck Research School for Environmental, Cellular and Molecular Microbiology; Max-Planck-Gesellschaft; University College London; European Commission; McMaster University","keywords":"Successor cardinal; Task (project management); Functional magnetic resonance imaging; Computer science; Consciousness; Artificial intelligence; Probabilistic logic; Cognitive psychology; Psychology; Perception; Neuroscience","score_opus":0.023128004478327795,"score_gpt":0.27827396611809674,"score_spread":0.25514596163976894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210707135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99737495,0.000032581058,0.00028193896,0.00046161495,0.00051301165,0.0010097097,0.00027141947,0.00004221439,0.000012543631],"genre_scores_gemma":[0.999324,0.00005605294,0.000060553713,0.00030276307,0.000040763014,0.00017662249,5.575229e-7,0.000030637188,0.000007997213],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977532,0.0002496139,0.00066663034,0.00064032536,0.00047669152,0.00021355179],"domain_scores_gemma":[0.9982629,0.00017547964,0.0006218131,0.0006873597,0.00017686808,0.00007560445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060860324,0.000213442,0.0003410493,0.00035892305,0.00019793995,0.00007917646,0.00042038367,0.0001369732,0.000045938497],"category_scores_gemma":[0.00039973226,0.00019659549,0.000069740745,0.00069258636,0.0001214998,0.00016280712,0.00069910317,0.00048169956,0.0000018353082],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039459297,0.000106926775,0.007313674,0.0001728839,0.000008164555,0.000008824298,0.00010453263,0.000413856,0.99068636,0.0010919207,0.000051144543,0.0000022281768],"study_design_scores_gemma":[0.00056035875,0.00015779253,0.39050722,0.00015186293,0.000041174844,6.877201e-8,0.000041408784,0.0060478044,0.6017936,0.000022816675,0.00034036385,0.00033554423],"about_ca_topic_score_codex":0.00023426162,"about_ca_topic_score_gemma":0.0000417906,"teacher_disagreement_score":0.3888928,"about_ca_system_score_codex":0.00010516845,"about_ca_system_score_gemma":0.00012988398,"threshold_uncertainty_score":0.80169314},"labels":[],"label_agreement":null},{"id":"W4210709080","doi":"10.1016/j.neuroimage.2022.118974","title":"Periodic/Aperiodic parameterization of transient oscillations (PAPTO)–Implications for healthy ageing","year":2022,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Biotechnology and Biological Sciences Research Council; Dalhousie University; Medical Research Council; Nova Scotia Department of Health and Wellness; Natural Sciences and Engineering Research Council of Canada; University of Cambridge","keywords":"Aperiodic graph; Magnetoencephalography; Transient (computer programming); Somatosensory system; Neurophysiology; Neuroscience; Rhythm; Resting state fMRI; Psychology; Electroencephalography; Computer science; Speech recognition; Physics; Mathematics; Acoustics","score_opus":0.05915662212657263,"score_gpt":0.29387454195961793,"score_spread":0.2347179198330453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210709080","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97740096,0.0000136059925,0.014568392,0.0051656174,0.0005549595,0.00091271405,0.00055221043,0.000102817,0.000728748],"genre_scores_gemma":[0.9968833,0.000019148452,0.00034859317,0.0022220446,0.000030155552,0.00026082978,0.000052923802,0.000026139689,0.00015691268],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986831,0.00015304562,0.00031973308,0.0004208606,0.0002015334,0.0002217273],"domain_scores_gemma":[0.999157,0.00027270755,0.00016831252,0.00029604783,0.000041775358,0.00006414806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013423288,0.000110758665,0.00014631734,0.00014030901,0.0009099549,0.000047249734,0.00019281488,0.00002121419,0.00008050445],"category_scores_gemma":[0.00027031894,0.00012184909,0.00011050918,0.0005145257,0.00008614289,0.0001355647,0.000060178423,0.00014460937,0.0000028406057],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006222056,0.000109875175,0.00027184648,0.000030069517,0.0000013319658,0.0000019159233,0.00020020636,0.0031219514,0.9873355,0.0047892486,0.00024457206,0.0038312653],"study_design_scores_gemma":[0.0054631894,0.007441908,0.3080965,0.00003574491,0.00016977898,0.00034287278,0.00042310564,0.27406868,0.06569893,0.009119691,0.32750002,0.0016396123],"about_ca_topic_score_codex":0.000008995911,"about_ca_topic_score_gemma":0.0000034809161,"teacher_disagreement_score":0.9216366,"about_ca_system_score_codex":0.00004618829,"about_ca_system_score_gemma":0.00006122066,"threshold_uncertainty_score":0.6998729},"labels":[],"label_agreement":null},{"id":"W4210742369","doi":"10.1016/j.neuron.2022.01.003","title":"Premotor activity in the claustrum","year":2022,"lang":"en","type":"letter","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta","funders":"","keywords":"Claustrum; Neuroscience; Electrophysiology; Sensory system; Psychology; Task (project management)","score_opus":0.041784984208872084,"score_gpt":0.25424163800636645,"score_spread":0.21245665379749437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210742369","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19965255,0.0000033716767,0.0000024252054,0.79027295,0.002802323,0.0006539791,0.000072944254,0.00007441953,0.006465015],"genre_scores_gemma":[0.14286847,0.000018614892,0.0000010434786,0.850751,0.001074154,0.00007307567,0.000019751775,0.00004163848,0.005152251],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975667,0.0007661495,0.00013831654,0.00060977455,0.0005767608,0.00034226885],"domain_scores_gemma":[0.99876416,0.0005724051,0.00011926427,0.0005250741,0.0000045168604,0.000014590244],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00013894645,0.00020983299,0.00016216947,0.00011376128,0.00017108268,0.0000937597,0.0006545874,0.00018472417,0.00029303937],"category_scores_gemma":[0.00017617787,0.00015467161,0.000099053446,0.00031583608,0.000050734536,0.00010021061,0.00015639619,0.0033683786,0.000047164755],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036852998,0.00004197453,0.000024866838,0.00003585467,7.266949e-7,0.0009535732,0.000034247274,0.000016788475,0.03586063,0.00004581204,0.96062165,0.002326998],"study_design_scores_gemma":[0.00011014047,0.00022502663,0.0012638475,0.0000044975795,0.0000060370535,0.00006692945,0.000002073219,0.0005833493,0.0009000003,0.00018173449,0.9965004,0.00015600794],"about_ca_topic_score_codex":0.00004358985,"about_ca_topic_score_gemma":0.00000839082,"teacher_disagreement_score":0.06047802,"about_ca_system_score_codex":0.00006989512,"about_ca_system_score_gemma":0.000028927236,"threshold_uncertainty_score":0.9989309},"labels":[],"label_agreement":null},{"id":"W4210886924","doi":"10.1162/jocn_a_01828","title":"Temporal Predictability Modulates Cortical Activity and Functional Connectivity in the Frontoparietal Network in 6-Month-Old Infants","year":2022,"lang":"en","type":"article","venue":"Journal of Cognitive Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Science Foundation Graduate Research Fellowship Program; James S. McDonnell Foundation","keywords":"Psychology; Neuroscience; Predictability; Functional connectivity; Parietal lobe; Nerve net; Sensory system; Occipital lobe; Brain mapping; Frontal lobe; Resting state fMRI; Functional magnetic resonance imaging; Cognitive psychology","score_opus":0.03108689603210218,"score_gpt":0.26466739190569954,"score_spread":0.23358049587359736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210886924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99741536,0.00002225176,0.00047823804,0.0006445667,0.0009779116,0.00030412903,0.000024097248,0.000007835585,0.00012559263],"genre_scores_gemma":[0.99833643,0.0000148569015,0.000006506743,0.0015142448,0.00008469309,0.000017865317,5.3813983e-7,0.0000067216333,0.00001816318],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99666405,0.0013399476,0.00039167932,0.00042288486,0.0008447765,0.00033664887],"domain_scores_gemma":[0.99714077,0.0022862207,0.0003107494,0.00011591993,0.000061359024,0.00008496447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020559246,0.00014739357,0.00025070898,0.00013713496,0.0004506781,0.000094897005,0.00025474504,0.000033218483,0.000022884828],"category_scores_gemma":[0.004125644,0.00011073819,0.00007266886,0.0008185902,0.00045660202,0.0006680667,0.00021664173,0.0011464629,3.4057697e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002013502,0.0010711268,0.8089237,0.000008382834,0.0000019389713,0.00038646342,0.00058367214,0.006548462,0.17711532,0.0005587024,0.000061789506,0.0027269013],"study_design_scores_gemma":[0.00088638027,0.0008951052,0.955948,0.000016629729,0.000007617572,0.00046985128,0.00019412219,0.03906046,0.0009761669,0.0013962289,0.000041004314,0.00010844665],"about_ca_topic_score_codex":0.00005488054,"about_ca_topic_score_gemma":0.000111348236,"teacher_disagreement_score":0.17613915,"about_ca_system_score_codex":0.000080272985,"about_ca_system_score_gemma":0.000120569704,"threshold_uncertainty_score":0.49808744},"labels":[],"label_agreement":null},{"id":"W4210887302","doi":"10.1016/j.bbr.2022.113788","title":"Temporo-spatial Theory of Consciousness (TTC) – Bridging the gap of neuronal activity and phenomenal states","year":2022,"lang":"en","type":"review","venue":"Behavioural Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":137,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Ottawa","funders":"","keywords":"Consciousness; Stimulus (psychology); Neuroscience; Psychology; Cognitive psychology; Cognitive science; Electromagnetic theories of consciousness","score_opus":0.2648410006856326,"score_gpt":0.40725174874136444,"score_spread":0.14241074805573184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210887302","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43600678,0.5523691,0.00010058617,0.0017107878,0.0011425414,0.005398953,0.0023793124,0.00010076024,0.0007911944],"genre_scores_gemma":[0.17272703,0.8255195,0.00000494489,0.0000763037,0.00011403071,0.00023275542,0.00006782626,0.00008961772,0.0011679895],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9919241,0.004672527,0.0006026517,0.00075760536,0.0014572997,0.0005858334],"domain_scores_gemma":[0.9891799,0.009557158,0.00048946886,0.00055553723,0.00010014138,0.000117810094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038657915,0.00034019933,0.00094657985,0.00040714763,0.00059542235,0.00009665188,0.0008629776,0.00011878077,0.0003670302],"category_scores_gemma":[0.0014788939,0.00022926682,0.00029679303,0.0008164101,0.0014051615,0.00013314336,0.0010857417,0.0016280296,0.0000032071316],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012841495,0.0001859942,0.000116607465,0.002254841,0.00002127234,0.00005040099,0.00013177335,0.000003175675,0.004774413,0.001732859,0.0002714553,0.9903288],"study_design_scores_gemma":[0.0037649914,0.0063760015,0.011369435,0.007269468,0.0011757221,0.0016095538,0.0012913591,0.0036405008,0.007902177,0.010199297,0.941594,0.003807489],"about_ca_topic_score_codex":0.00060448895,"about_ca_topic_score_gemma":0.000042795986,"teacher_disagreement_score":0.9865213,"about_ca_system_score_codex":0.00011275624,"about_ca_system_score_gemma":0.0004229059,"threshold_uncertainty_score":0.93492293},"labels":[],"label_agreement":null},{"id":"W4210998270","doi":"10.1101/2022.02.07.479359","title":"Directional Absolute Coherence: a phase-based measure of effective connectivity for neurophysiology data","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Interpretability; Computer science; Coherence (philosophical gambling strategy); Python (programming language); Measure (data warehouse); Brain stimulation; Artificial intelligence; Neurophysiology; Pattern recognition (psychology); Neuroscience; Data mining; Mathematics; Psychology; Statistics","score_opus":0.04575842701453393,"score_gpt":0.27829465821382254,"score_spread":0.23253623119928862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210998270","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97804576,0.00007468314,0.0066077397,0.00018248265,0.0037466076,0.002643502,0.008394416,0.0002942299,0.000010587892],"genre_scores_gemma":[0.9977649,0.000017551334,0.00050308957,0.00036690716,0.00027369906,0.0009620496,0.0000062089207,0.000100762016,0.0000048460465],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9960196,0.0006657429,0.00046916443,0.0018825834,0.00051059766,0.00045228872],"domain_scores_gemma":[0.9957253,0.0012921373,0.00070885627,0.001782697,0.00035448384,0.00013654643],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000693799,0.0004794265,0.0006887158,0.00024601872,0.00035973926,0.000077504534,0.0011499269,0.00027145635,0.00008399401],"category_scores_gemma":[0.002483446,0.0005110217,0.00021249292,0.0005683675,0.0002472934,0.00017003455,0.0009955625,0.00086212275,0.000006512867],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005360688,0.0005470156,0.00018742899,0.000329304,0.00005125079,0.000015723668,0.0000015800024,0.0007732973,0.99694735,0.00034597138,0.0002514957,0.000013520491],"study_design_scores_gemma":[0.0029008077,0.0010999892,0.037721924,0.00014807378,0.00020158153,5.065291e-8,8.880914e-7,0.052539364,0.89904416,0.000027321188,0.0053938073,0.00092203345],"about_ca_topic_score_codex":0.000044989098,"about_ca_topic_score_gemma":0.00000269189,"teacher_disagreement_score":0.097903185,"about_ca_system_score_codex":0.00020602591,"about_ca_system_score_gemma":0.0006569609,"threshold_uncertainty_score":0.99973416},"labels":[],"label_agreement":null},{"id":"W4211197896","doi":"10.1101/2022.02.07.479380","title":"Direct Modulation Index: a measure of phase amplitude coupling for neurophysiology data","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"Bundesministerium für Bildung und Forschung; Eberhard Karls Universität Tübingen","keywords":"Robustness (evolution); Computer science; Amplitude; Neurophysiology; Modulation index; Measure (data warehouse); Pattern recognition (psychology); Artificial intelligence; Speech recognition; Physics; Data mining; Neuroscience","score_opus":0.05972892082996286,"score_gpt":0.2829503631682068,"score_spread":0.22322144233824395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211197896","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9807813,0.00007810472,0.012142292,0.00010156907,0.0023791934,0.0013515078,0.0029115784,0.00024952798,0.000004916947],"genre_scores_gemma":[0.9985542,0.00007585391,0.0005029542,0.00021038175,0.00028698146,0.00024285645,0.0000068174513,0.00011642235,0.000003499704],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966842,0.00016822896,0.0005978424,0.001661176,0.00047012462,0.00041843535],"domain_scores_gemma":[0.99643505,0.0003498725,0.00072027853,0.0021299324,0.00024619602,0.000118694195],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00057100836,0.0004110527,0.00059080514,0.00025804277,0.00027649986,0.00010109162,0.0012203135,0.0002436087,0.000031333188],"category_scores_gemma":[0.0013980635,0.0004482646,0.00014725048,0.0004997896,0.00011474277,0.00021069348,0.0013984093,0.000604747,0.0000031482116],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021351909,0.00027627326,0.00032847258,0.0002642505,0.00003111822,0.000010666432,0.000002428296,0.010930612,0.98739463,0.00048016454,0.0000617874,0.0000060964962],"study_design_scores_gemma":[0.0018587377,0.0004029198,0.019212201,0.00014132983,0.00015593668,2.7637228e-8,0.000001372425,0.6458177,0.32750282,0.00002154889,0.0039644637,0.0009209178],"about_ca_topic_score_codex":0.000027585236,"about_ca_topic_score_gemma":0.0000010224265,"teacher_disagreement_score":0.6598918,"about_ca_system_score_codex":0.00012796112,"about_ca_system_score_gemma":0.0003098963,"threshold_uncertainty_score":0.9997969},"labels":[],"label_agreement":null},{"id":"W4212981389","doi":"10.1016/j.jneumeth.2022.109532","title":"Spectrum dependency to rate and spike timing in neuronal spike trains","year":2022,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hamilton Health Sciences; McMaster University","funders":"National Institute of General Medical Sciences","keywords":"Spike (software development); Spike train; Computer science; Dependency (UML); Train; Pattern recognition (psychology); Fast Fourier transform; Feature (linguistics); Spectral density; Biological system; Mathematics; Speech recognition; Artificial intelligence; Algorithm; Biology; Telecommunications","score_opus":0.09805970810796742,"score_gpt":0.3803097073177931,"score_spread":0.2822499992098257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212981389","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9768152,0.000016987806,0.015389793,0.0044531324,0.0028375094,0.00018690982,0.000007333,0.00001527692,0.00027784385],"genre_scores_gemma":[0.98510695,0.000042954853,0.0072134407,0.0071742544,0.000102420796,0.0000067957753,8.0095845e-8,0.000021497437,0.00033160913],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9964456,0.0013949517,0.0005656053,0.00051717984,0.0006362655,0.0004404096],"domain_scores_gemma":[0.9986089,0.0006001003,0.00033923757,0.00018571744,0.000024604045,0.00024143877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031519765,0.00017554894,0.00029297007,0.00064157724,0.00040077374,0.00013526082,0.00061978947,0.000024501283,0.000043652755],"category_scores_gemma":[0.002401076,0.00015781273,0.0000986729,0.0014266875,0.00011575596,0.00044836217,0.00036934452,0.0007804036,0.0000013463854],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007558812,0.000079887606,0.0005379185,0.0000045132083,3.0214133e-7,0.00033071914,0.00015613837,0.0040701246,0.980249,0.00062499905,0.00003083876,0.013839959],"study_design_scores_gemma":[0.002886471,0.009297986,0.42024627,0.00006802448,0.000047397974,0.012436567,0.00046118497,0.12982698,0.36037368,0.022869518,0.040163256,0.0013226713],"about_ca_topic_score_codex":0.0000059704157,"about_ca_topic_score_gemma":0.0000059766226,"teacher_disagreement_score":0.6198753,"about_ca_system_score_codex":0.000092292874,"about_ca_system_score_gemma":0.0001184528,"threshold_uncertainty_score":0.64354163},"labels":[],"label_agreement":null},{"id":"W4213039713","doi":"10.3390/app12041942","title":"Effects of Synaptic Pruning on Phase Synchronization in Chimera States of Neural Network","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Wuhan Polytechnic University; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Artificial neural network; Synchronization (alternating current); Computer science; Neuroscience; Artificial intelligence; Topology (electrical circuits); Mathematics; Psychology; Combinatorics","score_opus":0.01385137315087944,"score_gpt":0.25247687950026815,"score_spread":0.2386255063493887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213039713","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99862653,0.000023887527,0.00017951793,0.00007410285,0.00024410717,0.00028168163,0.0000029340592,0.000016398584,0.0005508154],"genre_scores_gemma":[0.9996367,0.000007604083,0.000051273975,0.00024100082,0.000015430738,0.00003070031,0.0000020729076,0.0000049413925,0.000010281517],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989019,0.00009297234,0.00019257651,0.00027084447,0.000351499,0.00019019323],"domain_scores_gemma":[0.9992136,0.00052119506,0.0001585823,0.00007934182,0.0000067497613,0.0000205684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032821,0.00007373524,0.00012817541,0.0001235641,0.00023920392,0.000014564017,0.00022749319,0.000011874521,0.000018428034],"category_scores_gemma":[0.00007199398,0.00006437464,0.000020535395,0.0011462764,0.00019824223,0.00007155658,0.000085230815,0.0001071266,9.317074e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006012852,0.00016392676,0.00027683604,0.0000283892,0.0000012832827,0.0000037449574,0.00019325363,0.42463115,0.5549391,0.014798583,0.000019697532,0.004883925],"study_design_scores_gemma":[0.0009997468,0.0016253496,0.0014017341,0.00002899771,0.0000084582425,0.0000043585674,0.00016187405,0.76164746,0.22965778,0.0042609265,0.00004119014,0.00016213438],"about_ca_topic_score_codex":0.000013525664,"about_ca_topic_score_gemma":0.0000026481937,"teacher_disagreement_score":0.3370163,"about_ca_system_score_codex":0.000023772649,"about_ca_system_score_gemma":0.000028715061,"threshold_uncertainty_score":0.26251218},"labels":[],"label_agreement":null},{"id":"W4213085263","doi":"10.1038/s41562-021-01285-4","title":"Theory as adversarial collaboration","year":2022,"lang":"en","type":"article","venue":"Nature Human Behaviour","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Advanced Research","keywords":"Adversarial system; Phenomenon; Consciousness; Core (optical fiber); Epistemology; Data science; Computer science; Psychology; Cognitive science; Sociology; Artificial intelligence; Philosophy","score_opus":0.013159387753093915,"score_gpt":0.2866889599224467,"score_spread":0.2735295721693528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213085263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99124265,0.000021550852,0.000009323464,0.00046493008,0.0023028976,0.00025317806,0.00006469537,0.00011945326,0.0055213217],"genre_scores_gemma":[0.98934,0.0000011904233,0.000008752644,0.0023658841,0.00018709736,0.000041721636,0.000046584613,0.000018935469,0.0079898145],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986898,0.00024680482,0.00012482502,0.00034209926,0.00043258784,0.0001639304],"domain_scores_gemma":[0.99957377,0.000063850275,0.00008433071,0.00020068466,0.00003316229,0.00004419724],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00022701666,0.00010381175,0.000084309875,0.00009864649,0.0007129179,0.000065893364,0.00023039844,0.000099173354,0.0014298311],"category_scores_gemma":[0.00013806579,0.0001035954,0.00005439896,0.000350488,0.000037108577,0.00014029088,0.00012771403,0.000814191,0.000035241334],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014517226,0.00016344622,0.0006893047,0.0000023096636,0.0000020663042,0.00008985346,0.0003172879,0.00009721414,0.61078,0.3811641,0.0059076557,0.000641567],"study_design_scores_gemma":[0.008414504,0.0045553017,0.055326413,0.000023377072,0.00029320733,0.0006665149,0.0032979539,0.0010976243,0.34591487,0.252349,0.3254317,0.0026295322],"about_ca_topic_score_codex":0.000008847492,"about_ca_topic_score_gemma":0.000010963074,"teacher_disagreement_score":0.31952405,"about_ca_system_score_codex":0.0001148338,"about_ca_system_score_gemma":0.000044749217,"threshold_uncertainty_score":0.999483},"labels":[],"label_agreement":null},{"id":"W4213094879","doi":"10.1109/rbme.2022.3151340","title":"Data Transformation in the Processing of Neuronal Signals: A Powerful Tool to Illuminate Informative Contents","year":2022,"lang":"en","type":"review","venue":"IEEE Reviews in Biomedical Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; Transformation (genetics); Signal processing; Artificial intelligence; Pattern recognition (psychology); Digital signal processing; Biology; Computer hardware","score_opus":0.1345977153484419,"score_gpt":0.35087269470241467,"score_spread":0.21627497935397277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213094879","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003081331,0.9891446,0.0045270375,0.00015143059,0.0010843028,0.004107926,0.00046845773,0.00004085995,0.00016722201],"genre_scores_gemma":[0.0004282007,0.9987272,0.000084558946,0.00029760585,0.000049584873,0.0002420298,0.00013918527,0.000024929528,0.0000067146743],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99669415,0.00034002028,0.0016099911,0.00040287105,0.0006272009,0.000325797],"domain_scores_gemma":[0.9985625,0.00055315683,0.00036304738,0.00044691024,0.000010622124,0.00006374326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00196909,0.00032642955,0.0011595172,0.00053782854,0.000038824834,0.000040916108,0.0013017119,0.00010879727,0.000033419732],"category_scores_gemma":[0.0015297311,0.000212067,0.00016082475,0.0020793173,0.000055360564,0.0004184028,0.00016059125,0.0008163459,0.000015732488],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000037312807,0.000052801824,4.5238743e-8,0.012796956,0.0000024140652,0.000012984111,0.00038475363,0.00009562656,0.00013955371,0.000031098676,0.00007853655,0.9864015],"study_design_scores_gemma":[0.00012837768,0.000075283846,0.0000016353026,0.009505775,0.000031586962,0.000046556466,0.000021800905,0.018914571,0.000006485083,0.000002821116,0.97105205,0.0002130533],"about_ca_topic_score_codex":0.000004669838,"about_ca_topic_score_gemma":0.0000017256992,"teacher_disagreement_score":0.9861885,"about_ca_system_score_codex":0.00012154238,"about_ca_system_score_gemma":0.00008244988,"threshold_uncertainty_score":0.8647841},"labels":[],"label_agreement":null},{"id":"W4213260613","doi":"10.3390/e24020270","title":"From Shorter to Longer Timescales: Converging Integrated Information Theory (IIT) with the Temporo-Spatial Theory of Consciousness (TTC)","year":2022,"lang":"en","type":"article","venue":"Entropy","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; European Commission","keywords":"Consciousness; Multitude; Integrated information theory; Stream of consciousness (narrative mode); Electromagnetic theories of consciousness; Stimulus (psychology); Information theory; Cognitive psychology; Psychology; Physics; Computer science; Statistical physics; Neuroscience; Mathematics; Epistemology; Philosophy; Statistics","score_opus":0.0077081604220293936,"score_gpt":0.2029278634029913,"score_spread":0.1952197029809619,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213260613","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95990974,0.0000070796946,0.03762114,0.0007170084,0.00052496535,0.00041140278,0.0001517619,0.000058617206,0.0005982572],"genre_scores_gemma":[0.99712425,0.0000013283401,0.00003323792,0.002244833,0.000051004277,0.000054166798,0.000044556517,0.000012670839,0.0004339188],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986215,0.0004328669,0.00021635013,0.0001980908,0.00035913748,0.00017204785],"domain_scores_gemma":[0.9990281,0.00048082735,0.00014515004,0.000255217,0.000045469315,0.00004523266],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003406525,0.0001273948,0.00013959623,0.000083365325,0.00025404734,0.00005485769,0.0002775785,0.00002323511,0.0010162792],"category_scores_gemma":[0.00011439734,0.000078106605,0.000046802943,0.00026923447,0.00014066507,0.00021878381,0.00013200312,0.00022097927,0.000042312924],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006842068,0.00031130525,0.0043027345,0.000034609824,0.000115260096,0.000054120344,0.024531439,0.006881736,0.7393904,0.16072951,0.008093762,0.04871309],"study_design_scores_gemma":[0.008331942,0.004010121,0.02404207,0.00020059918,0.00037276113,0.0001681389,0.052665807,0.12323014,0.63884115,0.047219016,0.098435156,0.002483078],"about_ca_topic_score_codex":0.00008862107,"about_ca_topic_score_gemma":0.00001140743,"teacher_disagreement_score":0.1163484,"about_ca_system_score_codex":0.000058172278,"about_ca_system_score_gemma":0.000043817527,"threshold_uncertainty_score":0.99989694},"labels":[],"label_agreement":null},{"id":"W4214666928","doi":"10.1093/texcom/tgac011","title":"Inattentive and hyperactive traits differentially associate with interindividual functional synchrony during video viewing in young children without ADHD","year":2022,"lang":"en","type":"article","venue":"Cerebral Cortex Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Children's Hospital; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Psychology; Functional magnetic resonance imaging; Attention deficit hyperactivity disorder; Developmental psychology; Brain activity and meditation; Default mode network; Typically developing; Dorsum; Audiology; Autism; Neuroscience; Electroencephalography; Clinical psychology","score_opus":0.030911407005670216,"score_gpt":0.2522532912711074,"score_spread":0.2213418842654372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214666928","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972649,0.000042477765,0.00009744605,0.00071481016,0.00014285115,0.00044184696,0.00013201444,0.0000708475,0.0010927573],"genre_scores_gemma":[0.9989069,0.00003576536,0.00010368147,0.00018969242,0.00002990652,0.00019073681,0.00010024627,0.000030355497,0.0004127274],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99820346,0.00045438844,0.00027805293,0.00045529415,0.00032773544,0.00028108107],"domain_scores_gemma":[0.999059,0.0001921294,0.00020445701,0.00043409914,0.00004194063,0.00006834689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001539479,0.00019380478,0.00022273425,0.00019379039,0.0011393399,0.0001148517,0.0005152799,0.000036296307,0.00011871765],"category_scores_gemma":[0.00008602563,0.00018921071,0.00005473525,0.00042454604,0.00018070161,0.0004199229,0.0010315719,0.0007397848,0.00000575317],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005605411,0.00117481,0.71864986,0.0000337512,0.00019557084,0.00001843246,0.007148082,0.0004352772,0.25929418,0.005816378,0.00006316295,0.006609934],"study_design_scores_gemma":[0.001160565,0.0001547467,0.99438596,0.00003412814,0.000036633377,0.00019355518,0.0005024189,0.0025987788,0.00044450277,0.00020653044,0.000041336527,0.00024083139],"about_ca_topic_score_codex":0.00014543853,"about_ca_topic_score_gemma":0.0005416084,"teacher_disagreement_score":0.2757361,"about_ca_system_score_codex":0.00025063317,"about_ca_system_score_gemma":0.000055814522,"threshold_uncertainty_score":0.8762997},"labels":[],"label_agreement":null},{"id":"W4214741992","doi":"10.1016/j.celrep.2022.110412","title":"Parallel processing in active dendrites during periods of intense spiking activity","year":2022,"lang":"en","type":"article","venue":"Cell Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Canadian Institutes of Health Research","keywords":"Receptive field; Traverse; Neuroscience; Retina; Dendritic spike; Computer science; Computation; Neuron; Parallel processing; Biological system; Physics; Biology; Excitatory postsynaptic potential; Parallel computing; Algorithm; Cartography; Inhibitory postsynaptic potential; Geography","score_opus":0.020522465421161016,"score_gpt":0.24690732556418407,"score_spread":0.22638486014302306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214741992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979762,0.000020234835,0.000033894063,0.000047268557,0.00028723967,0.00015507548,0.0000016764452,0.00002931144,0.0014491254],"genre_scores_gemma":[0.9992638,0.000005444088,0.000037234673,0.000045493416,0.000015834526,0.000027816579,9.828378e-7,0.000013535016,0.00058984186],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988872,0.00007847107,0.00023118367,0.00037077218,0.00024695063,0.000185446],"domain_scores_gemma":[0.9994239,0.000042909403,0.00031448816,0.00016672268,0.000021200512,0.000030777555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016745021,0.00009231491,0.00014522915,0.00012007099,0.00020823328,0.000022525608,0.00007197765,0.000021924036,0.000046334317],"category_scores_gemma":[0.00016526954,0.00009471691,0.000050024322,0.00031787297,0.00004377145,0.00018446318,0.00017789572,0.00025467464,4.0354917e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007795311,0.00008458646,0.008143818,0.00005040922,4.5078266e-7,0.0009313759,0.0005275258,0.0012701715,0.9861897,0.0000053781773,0.0000033924396,0.0027152332],"study_design_scores_gemma":[0.00020873951,0.000081013546,0.06500393,0.000026908712,0.0000051295833,0.0006426643,0.00039034284,0.004869188,0.9281795,0.00025850307,0.00016578975,0.00016827547],"about_ca_topic_score_codex":0.000044306184,"about_ca_topic_score_gemma":0.000010349811,"teacher_disagreement_score":0.05801019,"about_ca_system_score_codex":0.000104405495,"about_ca_system_score_gemma":0.00005455346,"threshold_uncertainty_score":0.38624436},"labels":[],"label_agreement":null},{"id":"W4214776307","doi":"10.1016/b978-008045046-9.01818-0","title":"Signal Identification: Peripheral and Central Mechanisms","year":2009,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Identification (biology); Peripheral; SIGNAL (programming language); Computer science; Neuroscience; Psychology; Biology","score_opus":0.018057701516744518,"score_gpt":0.22537049013526578,"score_spread":0.20731278861852126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214776307","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000313382,0.00011035266,0.00012759563,0.00023103932,0.00072377175,0.00047368376,0.000043535154,0.0001079251,0.9978687],"genre_scores_gemma":[0.02217385,0.00009279335,0.000094465875,0.0014637647,0.0002802176,0.000010260698,0.000013727689,0.000050799612,0.9758201],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99828315,0.000032471362,0.00034044133,0.000681795,0.00035569945,0.00030641828],"domain_scores_gemma":[0.999274,0.00004193811,0.00020632717,0.0002992862,0.00003341283,0.00014499559],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008062766,0.00033390397,0.00028386834,0.000087328175,0.00021594443,0.00017887981,0.00020448129,0.00021440384,0.0003000685],"category_scores_gemma":[0.000015447995,0.00031465158,0.00013586626,0.000012565071,0.00012484854,0.00007866315,0.00006760256,0.0003688358,0.00006078477],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001436439,0.000005206688,1.866599e-7,0.000016560669,0.0000050958997,0.000036764024,0.00003780141,0.0000012942857,0.049456626,0.098101705,0.000043540254,0.85228086],"study_design_scores_gemma":[0.0002920935,0.00019370845,0.000076023985,0.00011189916,0.0000656327,0.00015619688,0.000003079974,0.00053006975,0.0067205476,0.23192538,0.7592999,0.00062550814],"about_ca_topic_score_codex":1.5127027e-7,"about_ca_topic_score_gemma":0.0000037921336,"teacher_disagreement_score":0.85165536,"about_ca_system_score_codex":0.000068843496,"about_ca_system_score_gemma":0.00004178498,"threshold_uncertainty_score":0.99993056},"labels":[],"label_agreement":null},{"id":"W4214896267","doi":"10.3389/fncir.2022.856716","title":"Editorial: Dopamine Neuron Diversity in Circuits and Diseases","year":2022,"lang":"en","type":"editorial","venue":"Frontiers in Neural Circuits","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Institute on Drug Abuse; National Institute of Mental Health; National Institutes of Health; Azrieli Foundation; Parkinson's Foundation; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada","keywords":"Neuroscience; Dopamine; Biological neural network; Neuronal circuits; Psychology; Neuron; Cognitive science","score_opus":0.016106041481928856,"score_gpt":0.2326942035733526,"score_spread":0.21658816209142376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214896267","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027387975,0.00055806246,0.000010118862,0.00010887095,0.96993196,0.0007186187,0.0008827915,0.00013137549,0.00027025258],"genre_scores_gemma":[0.15282124,0.0010272338,0.0000021262306,0.0002221491,0.84478927,0.000086986074,0.0002776394,0.000108127126,0.00066521566],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9943808,0.0006481685,0.0006047198,0.0017863725,0.0017468861,0.0008330943],"domain_scores_gemma":[0.99780786,0.0010137248,0.0003454902,0.00052984507,0.000059695227,0.0002433633],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00034335203,0.0006295468,0.00087949506,0.00084015104,0.00049154926,0.00017707764,0.00096112967,0.0005582774,0.00004364799],"category_scores_gemma":[0.0033146692,0.0007023243,0.00016195643,0.0010053369,0.00022527445,0.00055480277,0.0013521599,0.0024215737,0.000004293009],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000078463585,0.00014728837,0.00813002,0.00013685734,0.0000057019397,0.0003446724,0.00009411985,0.00013949563,0.0007059728,0.000013271652,0.9819507,0.008253453],"study_design_scores_gemma":[0.0030822342,0.00051159074,0.008562505,0.00009401287,0.00007999055,0.000012722393,0.00007861198,0.0023741499,0.000038698025,0.0010864759,0.98281765,0.0012613396],"about_ca_topic_score_codex":0.00020890556,"about_ca_topic_score_gemma":0.00006847391,"teacher_disagreement_score":0.12543327,"about_ca_system_score_codex":0.00055909454,"about_ca_system_score_gemma":0.00015472427,"threshold_uncertainty_score":0.9998799},"labels":[],"label_agreement":null},{"id":"W4220678824","doi":"10.1162/neco_a_01491","title":"Direct Discriminative Decoder Models for Analysis of High-Dimensional Dynamical Neural Data","year":2022,"lang":"en","type":"article","venue":"Neural Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto; University Health Network","funders":"","keywords":"Computer science; Inference; Discriminative model; Artificial intelligence; Machine learning; Scalability; Population","score_opus":0.09619327541379022,"score_gpt":0.3269426924543762,"score_spread":0.23074941704058596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220678824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9398088,0.000008914198,0.056998234,0.00064327277,0.0006008677,0.0003811567,0.0014302164,0.000060904636,0.00006764318],"genre_scores_gemma":[0.99687123,8.496566e-7,0.00068343175,0.0005423411,0.000027776197,0.000039242546,0.0017452202,0.000018548577,0.00007135883],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99802953,0.0002747061,0.0003368147,0.00065889256,0.00049324037,0.00020683491],"domain_scores_gemma":[0.99854994,0.00080253114,0.00022561182,0.0002927471,0.00007838777,0.000050765062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020109743,0.00014727496,0.00029714513,0.00030700566,0.00034371976,0.00003403197,0.00036455825,0.000025869129,0.000032619042],"category_scores_gemma":[0.00015381082,0.00013782158,0.00013971273,0.0009246615,0.00006715737,0.00041035563,0.00042391548,0.00015026261,6.0412157e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018950236,0.000114209804,0.000037068294,0.000008701188,0.00004185507,0.000003839858,0.00006681276,0.97002316,0.019933661,0.0024738223,0.00021442551,0.0068929177],"study_design_scores_gemma":[0.00039018682,0.00025371765,0.0023293567,0.0000013545671,0.00026358658,0.000006514526,0.000022196222,0.99184686,0.0010319714,0.003700408,0.000012724562,0.00014114918],"about_ca_topic_score_codex":0.00008121343,"about_ca_topic_score_gemma":0.000037847676,"teacher_disagreement_score":0.05706244,"about_ca_system_score_codex":0.00006465894,"about_ca_system_score_gemma":0.000022599263,"threshold_uncertainty_score":0.5620201},"labels":[],"label_agreement":null},{"id":"W4220682101","doi":"10.7554/elife.72139","title":"Laminar microcircuitry of visual cortex producing attention-associated electric fields","year":2022,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Eye Institute; NIH Office of the Director; National Institutes of Health","keywords":"Neuroscience; Electric field; Macaque; Visual cortex; Laminar flow; Electroencephalography; Psychology; Physics; Biology","score_opus":0.014986977999359925,"score_gpt":0.24759753250484268,"score_spread":0.23261055450548276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220682101","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998505,0.000026497284,0.00006643079,0.00022378995,0.0005099496,0.00014765227,0.000011988563,0.000054266482,0.00045444223],"genre_scores_gemma":[0.99693453,0.000012875217,0.0000040147133,0.00082012283,0.000049130093,0.000016905022,0.000011304193,0.000012246795,0.0021388973],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988563,0.00012266055,0.00019523983,0.00028957232,0.00034760882,0.0001886136],"domain_scores_gemma":[0.99956375,0.000099145196,0.00014923191,0.00012387197,0.000036112542,0.000027892951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021552079,0.0000763896,0.00011608348,0.00009140066,0.0002634831,0.0000140965485,0.00011543234,0.000029504312,0.000117647636],"category_scores_gemma":[0.00032445206,0.00008070736,0.000067121386,0.00056255906,0.000017150172,0.000058337933,0.00008491266,0.00021999406,0.000011416215],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013919571,0.00017028648,0.0028885917,0.000007978705,0.000004194063,0.000011017891,0.00007471482,0.00006621604,0.9943705,0.00017775536,0.0012330714,0.0009817308],"study_design_scores_gemma":[0.0012208796,0.0018332644,0.23385793,0.000026645948,0.000049959224,0.000114297014,0.00021703451,0.025042605,0.7333221,0.00045801763,0.0033028394,0.00055444275],"about_ca_topic_score_codex":0.000029498167,"about_ca_topic_score_gemma":0.000004587128,"teacher_disagreement_score":0.26104844,"about_ca_system_score_codex":0.000063847845,"about_ca_system_score_gemma":0.000043047392,"threshold_uncertainty_score":0.32911503},"labels":[],"label_agreement":null},{"id":"W4220682388","doi":"10.1101/2022.03.25.485521","title":"Xenon LFP Analysis Platform is a Novel Graphical User Interface for Analysis of Local Field Potential from Large-Scale MEA Recordings","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Xenon Pharmaceuticals (Canada)","funders":"","keywords":"Computer science; Visualization; Graphical user interface; Python (programming language); Interface (matter); Data mining","score_opus":0.020601252585082375,"score_gpt":0.2471606330447778,"score_spread":0.22655938045969543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220682388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6303921,0.00001470763,0.36683077,0.00019284965,0.00051026396,0.0003405171,0.0016173659,0.000099544464,0.0000019255717],"genre_scores_gemma":[0.9954575,0.000035096575,0.0033742678,0.00079597806,0.00008680936,0.00017525791,0.000004553168,0.000061427534,0.00000914355],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99621105,0.00008791243,0.0008315337,0.0016470053,0.00065963314,0.00056285504],"domain_scores_gemma":[0.99727505,0.00039318058,0.00066732767,0.001175036,0.0002769063,0.00021251792],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005651287,0.00047713736,0.0010505216,0.00128869,0.00031588116,0.00016587178,0.0008432285,0.0003830769,0.000570701],"category_scores_gemma":[0.00026473755,0.0004939432,0.001195705,0.0039963657,0.00011413219,0.00022791472,0.0008273451,0.00074352865,0.0000037723582],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033003205,0.0003339632,0.012295495,0.000047265723,0.0016925316,0.0000062700205,0.000028726341,0.007908703,0.9767944,0.00050636166,0.000051991847,0.0000042196434],"study_design_scores_gemma":[0.0007676334,0.00022427576,0.05227529,0.00002978641,0.0051315613,1.0908696e-8,0.000030371317,0.344237,0.59550196,0.0000173154,0.0010761437,0.0007086409],"about_ca_topic_score_codex":0.0004119419,"about_ca_topic_score_gemma":0.00006977623,"teacher_disagreement_score":0.38129246,"about_ca_system_score_codex":0.00017597114,"about_ca_system_score_gemma":0.00010372717,"threshold_uncertainty_score":0.9997512},"labels":[],"label_agreement":null},{"id":"W4220706416","doi":"10.1101/2022.03.07.483263","title":"Dentate gyrus mossy cells exhibit sparse coding via adaptive spike threshold dynamics","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Krembil Foundation","keywords":"Dentate gyrus; Neuroscience; Inhibitory postsynaptic potential; Hippocampal formation; Glutamatergic; Excitatory postsynaptic potential; Computer science; Local field potential; Electrophysiology; Physics; Biological system; Chemistry; Biology; Glutamate receptor","score_opus":0.027629102421961014,"score_gpt":0.22773494474088962,"score_spread":0.2001058423189286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220706416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9808737,0.00014298501,0.0063802977,0.00024055345,0.008376,0.0016423241,0.0013058754,0.0008727993,0.00016546121],"genre_scores_gemma":[0.9965718,0.00039924128,0.0008981133,0.0010050135,0.00042640587,0.00030802385,0.0000016248028,0.00028496192,0.00010484236],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9941799,0.0003141727,0.0008729363,0.0024260478,0.0010861899,0.0011207296],"domain_scores_gemma":[0.99648464,0.00022047984,0.0008735042,0.0017705918,0.00021865168,0.00043214153],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000666189,0.0010073931,0.0008242723,0.0004840699,0.0007577007,0.00052301557,0.0013679247,0.00048265528,0.0003714151],"category_scores_gemma":[0.0001850321,0.0011432018,0.0003806585,0.0010528151,0.00025866428,0.00037132858,0.0021147009,0.0021864916,0.00019145558],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011587532,0.00022296615,0.0010857676,0.00016238129,0.00004745679,0.00054862344,0.000011119472,0.0036488292,0.9885988,0.0052686515,0.0002830668,0.0000064589926],"study_design_scores_gemma":[0.00090997247,0.00027799606,0.004839375,0.00024597198,0.00019598729,3.4890485e-7,0.000013203752,0.18520878,0.8035985,0.00007052055,0.0024441178,0.002195215],"about_ca_topic_score_codex":0.000115136674,"about_ca_topic_score_gemma":0.000018235229,"teacher_disagreement_score":0.18500029,"about_ca_system_score_codex":0.0012644344,"about_ca_system_score_gemma":0.00039609036,"threshold_uncertainty_score":0.9991018},"labels":[],"label_agreement":null},{"id":"W4220726505","doi":"10.1016/j.concog.2022.103306","title":"While you were sleeping: Evidence for high-level executive processing of an auditory narrative during sleep","year":2022,"lang":"en","type":"article","venue":"Consciousness and Cognition","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Ottawa; Western University","funders":"","keywords":"Psychology; Sleep (system call); Wakefulness; Cognition; Cognitive psychology; Narrative; Audiology; Non-rapid eye movement sleep; Consciousness; Mind-wandering; Electroencephalography; Neuroscience; Medicine","score_opus":0.061686897461385205,"score_gpt":0.2835053659485363,"score_spread":0.22181846848715112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220726505","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966624,0.00008289144,0.0016200308,0.00021721242,0.0006094359,0.0004904164,0.00016846175,0.00005674409,0.000092433685],"genre_scores_gemma":[0.9991278,0.000016153117,0.000073290525,0.00016899941,0.00012638378,0.00027933277,0.000028602077,0.000016886193,0.00016251815],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988195,0.00012272758,0.00020890078,0.00043924144,0.00022805094,0.00018160009],"domain_scores_gemma":[0.9992719,0.00021154429,0.00022192278,0.000100902624,0.00013970664,0.000053982272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000177318,0.00012551177,0.00016908106,0.00009659605,0.0010234693,0.000049213755,0.00010929776,0.000035836885,0.00003672651],"category_scores_gemma":[0.00020847585,0.00012889964,0.000037311605,0.0001888432,0.00015124211,0.00050766376,0.00008943124,0.0001344382,5.459839e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071309536,0.00017537958,0.0001517665,0.00025542613,0.000009028431,0.000013386227,0.0028386079,0.0003152591,0.96603423,0.0011488548,0.000052816824,0.028292168],"study_design_scores_gemma":[0.0067424667,0.003513134,0.028579142,0.0009213146,0.0003068354,0.00029699216,0.026693573,0.09722595,0.8012226,0.03234215,0.0004870195,0.0016687785],"about_ca_topic_score_codex":0.000011989921,"about_ca_topic_score_gemma":0.000013434471,"teacher_disagreement_score":0.16481157,"about_ca_system_score_codex":0.000042623564,"about_ca_system_score_gemma":0.000051844934,"threshold_uncertainty_score":0.7871801},"labels":[],"label_agreement":null},{"id":"W4220739652","doi":"10.1038/s41467-022-29220-9","title":"Author Correction: Diversity amongst human cortical pyramidal neurons revealed via their sag currents and frequency preferences","year":2022,"lang":"en","type":"erratum","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vale (Canada); Toronto Rehabilitation Institute; University Health Network; University of Toronto; Centre for Addiction and Mental Health; Ontario Brain Institute","funders":"","keywords":"Cortical neurons; Diversity (politics); Neuroscience; Biology; Political science; Law","score_opus":0.05711815654493266,"score_gpt":0.3082641355123679,"score_spread":0.2511459789674353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220739652","genre_codex":"editorial","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2901036,0.018024575,0.00022169629,0.036276646,0.41676328,0.007834938,0.0058356263,0.0032861244,0.22165354],"genre_scores_gemma":[0.9585796,0.0015686527,0.00004655161,0.00072381,0.00030615416,0.00009431225,0.0013873603,0.00004719593,0.037246354],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968368,0.0010203813,0.00041234333,0.00081826193,0.0005547134,0.00035751695],"domain_scores_gemma":[0.9965021,0.00075819925,0.00040121126,0.0020279638,0.00013093448,0.0001795737],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00026439485,0.0004087969,0.00040682737,0.00023725466,0.0049961954,0.00017267112,0.0023179627,0.00072327204,0.00028479702],"category_scores_gemma":[0.0008681767,0.00038522552,0.00016976513,0.00066201977,0.00069900043,0.0002478807,0.0039680623,0.008715952,0.0000123355785],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026482441,0.0005977134,0.0079609435,0.00006688938,0.00004550124,0.000012691319,0.00054988405,0.000003382125,0.004077034,0.005977095,0.97711116,0.0035711993],"study_design_scores_gemma":[0.000665681,0.00065754424,0.1913009,0.00022073778,0.00037982792,0.00017626886,0.00027911837,0.010698478,0.000104438746,0.007997821,0.7859407,0.00157846],"about_ca_topic_score_codex":0.0001736494,"about_ca_topic_score_gemma":0.0016302458,"teacher_disagreement_score":0.668476,"about_ca_system_score_codex":0.00018045289,"about_ca_system_score_gemma":0.000113264,"threshold_uncertainty_score":0.99986},"labels":[],"label_agreement":null},{"id":"W4220746846","doi":"10.1101/2022.03.14.483878","title":"Functional architecture of cerebral cortex during naturalistic movie-watching","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Google (Canada); McGill University; Montreal Neurological Institute and Hospital","funders":"National Brain Mapping Laboratory","keywords":"Neuroscience; Stimulus (psychology); Sensory system; Visual cortex; Cerebral cortex; Computer science; Neuroimaging; Functional connectivity; Functional magnetic resonance imaging; Cytoarchitecture; Functional neuroimaging; Psychology; Cognition; Cognitive psychology","score_opus":0.01633920073130382,"score_gpt":0.2148333872458917,"score_spread":0.1984941865145879,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220746846","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99325675,0.00015250532,0.00055525603,0.00030323816,0.004140384,0.00059691985,0.00061468454,0.00035290787,0.000027361022],"genre_scores_gemma":[0.9983399,0.000049660193,0.00046574158,0.00037459686,0.00046524277,0.00011740853,0.0000013714626,0.00013119105,0.000054903263],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99614996,0.00029065978,0.0006582734,0.001414136,0.00090086844,0.00058612484],"domain_scores_gemma":[0.9976904,0.00022424391,0.0006831493,0.0010403576,0.00016080699,0.00020103755],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00031563352,0.0005857792,0.0005870359,0.0004169114,0.0004760922,0.00015477127,0.0007120577,0.00031018042,0.0004403015],"category_scores_gemma":[0.000623618,0.0006062866,0.00030955102,0.00067182555,0.00017227909,0.00016006842,0.0011702706,0.0020080018,0.000020229132],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010581544,0.00010436264,0.0015081824,0.000454155,0.000036941045,0.00008337438,0.000008887126,0.004008704,0.9915135,0.0020946963,0.00007945457,0.000001915507],"study_design_scores_gemma":[0.0010568495,0.00013238311,0.3883152,0.00033188556,0.00014308597,5.49379e-7,0.0000051737725,0.0039545726,0.6026804,0.00008675927,0.0018122805,0.0014808923],"about_ca_topic_score_codex":0.000052092553,"about_ca_topic_score_gemma":0.0000023284244,"teacher_disagreement_score":0.38883314,"about_ca_system_score_codex":0.00032544506,"about_ca_system_score_gemma":0.00032021865,"threshold_uncertainty_score":0.99963886},"labels":[],"label_agreement":null},{"id":"W4220762953","doi":"10.1016/j.neuroimage.2021.118850","title":"Microstates and power envelope hidden Markov modeling probe bursting brain activity at different timescales","year":2021,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Medical Research Council; Fonds De La Recherche Scientifique - FNRS; National Institute for Health and Care Research; NIHR Oxford Biomedical Research Centre; Fonds Erasme; Canadian Centre for Applied Research in Cancer Control; Wellcome Trust","keywords":"Hidden Markov model; Ministate; Electroencephalography; Magnetoencephalography; Pattern recognition (psychology); Artificial intelligence; Bursting; Computer science; Neuroscience; Speech recognition; Psychology","score_opus":0.026159790598887636,"score_gpt":0.2488000170378588,"score_spread":0.2226402264389712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220762953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942064,0.00004046149,0.0006366962,0.003435533,0.00028391316,0.00018666431,0.00003322234,0.00010598581,0.0010710882],"genre_scores_gemma":[0.9943859,0.0000590409,0.0002711929,0.0014984375,0.00003807794,0.000008133336,0.0000075009507,0.000038419745,0.0036933075],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982832,0.00019530128,0.00018184147,0.00075577694,0.00022935346,0.00035452846],"domain_scores_gemma":[0.9991223,0.0003879898,0.00007394328,0.00026799872,0.00003854415,0.00010917433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008514708,0.00022262288,0.00020132803,0.00005257824,0.00032703835,0.00019856806,0.0001188115,0.000054520042,0.00008005648],"category_scores_gemma":[0.00061262737,0.00019874677,0.00006552394,0.0001615159,0.000083510466,0.00024186466,0.00042848574,0.00025338065,0.00002185811],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045627625,0.00005940743,0.0010522691,0.000028307944,0.0000021308206,0.0001550713,0.00008811832,0.000022444008,0.9919558,0.000055181834,0.0002648648,0.0062707653],"study_design_scores_gemma":[0.00064497953,0.00012629374,0.023440912,0.00005153297,0.000015962925,0.00035278685,0.000028699718,0.11077607,0.8624983,0.0006222763,0.00097164465,0.00047058082],"about_ca_topic_score_codex":0.000008616184,"about_ca_topic_score_gemma":0.000015052709,"teacher_disagreement_score":0.12945755,"about_ca_system_score_codex":0.000043868746,"about_ca_system_score_gemma":0.000018675344,"threshold_uncertainty_score":0.8104658},"labels":[],"label_agreement":null},{"id":"W4220766334","doi":"10.1101/2022.03.14.484357","title":"Reciprocal feature encoding by cortical excitatory and inhibitory neurons","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Azrieli Foundation; Israel Science Foundation; Natural Sciences and Engineering Research Council of Canada; International Development Research Centre","keywords":"Inhibitory postsynaptic potential; Excitatory postsynaptic potential; Neuroscience; Receptive field; Optogenetics; Population; Local field potential; Cortical neurons; Cortex (anatomy); Biology","score_opus":0.017656010623477415,"score_gpt":0.2243453417225488,"score_spread":0.2066893310990714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220766334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928651,0.0005775391,0.00030136143,0.00074594957,0.0037603106,0.0007178511,0.00045421135,0.0005225683,0.000055103283],"genre_scores_gemma":[0.996759,0.0004097386,0.0002501016,0.0017595221,0.00040056254,0.00020827865,5.854911e-7,0.00015070003,0.000061537896],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9959737,0.00048138044,0.00043631057,0.0017778644,0.00066615635,0.00066460116],"domain_scores_gemma":[0.9979608,0.00036121407,0.00031338006,0.0008728446,0.00008981525,0.0004019687],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00047414476,0.0005986675,0.000499676,0.00024204739,0.000664772,0.00032504875,0.0005363377,0.00045711815,0.00009035837],"category_scores_gemma":[0.0009276425,0.000652718,0.00014729534,0.000478797,0.00031241306,0.00022802239,0.0012619473,0.0027078714,0.00002063843],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043323333,0.000103974,0.0011894738,0.00014195262,0.000011719715,0.00014815255,0.000007295094,0.00002051956,0.9929582,0.0010108462,0.004360257,0.0000042737583],"study_design_scores_gemma":[0.0015146906,0.0005627634,0.052213445,0.00037814505,0.00022951636,7.9536284e-7,0.00001792067,0.0065427623,0.7848056,0.00002814257,0.1504174,0.003288811],"about_ca_topic_score_codex":0.000010050968,"about_ca_topic_score_gemma":6.1760704e-7,"teacher_disagreement_score":0.2081526,"about_ca_system_score_codex":0.00028688143,"about_ca_system_score_gemma":0.00028564327,"threshold_uncertainty_score":0.9995929},"labels":[],"label_agreement":null},{"id":"W4220786247","doi":"10.31234/osf.io/bd6eh","title":"Neural decoding reveals the functional anatomy of auditory integration and competition in speech perception","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"National Institutes of Health","keywords":"Auditory cortex; Active listening; Stimulus (psychology); Perception; Psychology; Cognition; Cognitive psychology; Speech perception; Computer science; Neuroscience; Communication","score_opus":0.03846886385131476,"score_gpt":0.28957788567171655,"score_spread":0.2511090218204018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220786247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99360377,0.000012251887,0.0010348324,0.001163609,0.0020427522,0.00043782016,0.000030097148,0.000038595055,0.0016362468],"genre_scores_gemma":[0.99847525,0.0001236496,0.00013063267,0.0004758011,0.0001818182,0.000054188302,0.00007864071,0.000012716762,0.00046729547],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983589,0.00033349756,0.00035657402,0.00045989055,0.00036124466,0.00012991398],"domain_scores_gemma":[0.9991875,0.00029663072,0.00023227783,0.00021532737,0.000042592616,0.000025631012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004558664,0.00016070453,0.00018508082,0.00021525819,0.00017114937,0.000062635336,0.00015291324,0.000098285054,0.0007208081],"category_scores_gemma":[0.00019264859,0.00012210911,0.00007592103,0.0002064835,0.000102610764,0.00014412425,0.00035907005,0.0006904257,0.0000029853568],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016421647,0.00014432415,0.00758795,0.00016000692,0.0000068940576,0.000012500714,0.00038999683,0.0070148585,0.92466426,0.03326764,0.0011119383,0.025475444],"study_design_scores_gemma":[0.0007158116,0.0002455929,0.5666973,0.00017274087,0.00004008523,0.000104903294,0.0013660372,0.39198485,0.0060558044,0.031263623,0.0007827818,0.00057045085],"about_ca_topic_score_codex":0.00010234504,"about_ca_topic_score_gemma":0.000120573015,"teacher_disagreement_score":0.9186084,"about_ca_system_score_codex":0.00015594519,"about_ca_system_score_gemma":0.000033557015,"threshold_uncertainty_score":0.78923434},"labels":[],"label_agreement":null},{"id":"W4220792187","doi":"10.1152/jn.00380.2021","title":"Differential impact of movement on the alpha and gamma dynamics serving visual processing","year":2022,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute of General Medical Sciences; National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; National Institute on Aging","keywords":"Neuroscience; Alpha (finance); Movement (music); Visual processing; Dynamics (music); Communication; Psychology; Computer science; Physics; Perception; Developmental psychology","score_opus":0.021304238117133858,"score_gpt":0.2798420330468045,"score_spread":0.25853779492967066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220792187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998909,0.0000037496975,0.000058036338,0.0005325225,0.00037869773,0.00007313146,0.000009150677,0.0000042476568,0.000031453765],"genre_scores_gemma":[0.99899596,0.000023459392,0.0000036956708,0.000847134,0.00008531568,0.0000017865498,6.1873254e-7,0.0000118498465,0.000030202063],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989255,0.0002693039,0.00027845573,0.00014554447,0.00023616823,0.00014504715],"domain_scores_gemma":[0.9991631,0.00023771494,0.00043481225,0.00008733632,0.000039316634,0.000037702786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005139097,0.00010043981,0.00018792729,0.000094932744,0.00021911699,0.000020940666,0.0002063384,0.000016226557,0.00006594997],"category_scores_gemma":[0.00010976881,0.000060136226,0.0001144308,0.00015348132,0.00007267272,0.00006745579,0.00017833913,0.00036164024,3.9371017e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003345287,0.00013167145,0.00009601293,0.000009439492,0.0000073476754,0.00003178954,0.000042984095,0.0051084748,0.99006075,0.00037729574,0.000017709002,0.0037819913],"study_design_scores_gemma":[0.0013477477,0.018353645,0.21724008,0.000042023363,0.00005476558,0.00056879484,0.00019305875,0.7277054,0.02911381,0.0050294674,0.00007520932,0.00027596435],"about_ca_topic_score_codex":0.0000057435245,"about_ca_topic_score_gemma":3.255929e-7,"teacher_disagreement_score":0.9609469,"about_ca_system_score_codex":0.000057177484,"about_ca_system_score_gemma":0.00003885313,"threshold_uncertainty_score":0.24522841},"labels":[],"label_agreement":null},{"id":"W4220807307","doi":"10.3390/ijms23073452","title":"Phasic Dopamine Changes and Hebbian Mechanisms during Probabilistic Reversal Learning in Striatal Circuits: A Computational Study","year":2022,"lang":"en","type":"article","venue":"International Journal of Molecular Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université de Montréal","funders":"","keywords":"Neuroscience; Dopamine; Reinforcement learning; Hebbian theory; Dopaminergic; Action selection; Psychology; Basal ganglia; Probabilistic logic; Neuromodulation; Computer science; Artificial intelligence; Artificial neural network; Stimulation","score_opus":0.024462261139224076,"score_gpt":0.2740720570019783,"score_spread":0.24960979586275422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220807307","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969011,0.000028246075,0.0012519287,0.0011084812,0.00050780026,0.00013865542,0.000006391532,0.000008476723,0.000048929385],"genre_scores_gemma":[0.9995744,0.000006350008,0.0001533261,0.00018923008,0.000038922048,0.000006742363,0.0000010300331,0.000005312125,0.000024677209],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99804574,0.00023845384,0.00025885238,0.00024093891,0.0010856668,0.00013035118],"domain_scores_gemma":[0.99945086,0.00013321474,0.0002652297,0.0000347481,0.00007307948,0.000042856205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072674645,0.00008129817,0.00011309518,0.00040558758,0.00022929012,0.00012598546,0.00040872864,0.000010354739,0.00003067509],"category_scores_gemma":[0.00036935727,0.00007545736,0.000033379973,0.00034613628,0.000086953,0.00021316703,0.00019790539,0.0002553891,3.8832295e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014323826,0.0005881386,0.0045214607,0.0000086289265,0.000028699791,0.0016298788,0.001131865,0.371639,0.6042031,0.0057850834,0.0000033985407,0.010317473],"study_design_scores_gemma":[0.027762571,0.026876993,0.12080283,0.00043389626,0.00015948557,0.016517939,0.028915849,0.5634437,0.093115695,0.11896613,0.00063476694,0.0023701],"about_ca_topic_score_codex":0.000015877653,"about_ca_topic_score_gemma":0.000015376458,"teacher_disagreement_score":0.5110874,"about_ca_system_score_codex":0.00010530476,"about_ca_system_score_gemma":0.000080065016,"threshold_uncertainty_score":0.30770618},"labels":[],"label_agreement":null},{"id":"W4220827944","doi":"10.7554/elife.72875","title":"Minimal requirements for a neuron to coregulate many properties and the implications for ion channel correlations and robustness","year":2022,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Ion channel; Channel (broadcasting); Control theory (sociology); Robustness (evolution); Property (philosophy); Offset (computer science); Topology (electrical circuits); Value (mathematics)","score_opus":0.0964683116526443,"score_gpt":0.2785059305543599,"score_spread":0.1820376189017156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220827944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97192615,0.000031558782,0.009430709,0.016258555,0.00037706518,0.0018074053,0.00011314402,0.00002961251,0.000025801177],"genre_scores_gemma":[0.9956953,0.000011291597,0.0000900689,0.0017023444,0.000054570777,0.0013743828,0.000008660996,0.000012757793,0.0010506072],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936736,0.00004321963,0.00012145298,0.00024536828,0.00009127295,0.00013131817],"domain_scores_gemma":[0.99959224,0.00016687176,0.000054043547,0.000115565126,0.000033260836,0.000038029924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014625034,0.00006774862,0.0000752742,0.00004060664,0.00090899476,0.0000517837,0.00007385459,0.000011847494,0.0000018414329],"category_scores_gemma":[0.00021467735,0.000049193888,0.000025874335,0.0001073305,0.00006543075,0.0000764152,0.00011695473,0.000046414294,3.7270547e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003146947,0.00021663093,0.00065938954,0.00011388712,0.0000192229,9.0353683e-7,0.0017890033,0.029197771,0.8377416,0.10846313,0.010408279,0.008243202],"study_design_scores_gemma":[0.0032264777,0.00088111614,0.03750472,0.000015300557,0.000055244556,0.000055237717,0.00023889866,0.93458617,0.004963173,0.002800172,0.0153928315,0.0002806656],"about_ca_topic_score_codex":0.000004375384,"about_ca_topic_score_gemma":0.0000039557544,"teacher_disagreement_score":0.9053884,"about_ca_system_score_codex":0.000015792115,"about_ca_system_score_gemma":0.0000122118745,"threshold_uncertainty_score":0.69913447},"labels":[],"label_agreement":null},{"id":"W4220832908","doi":"10.1038/s41598-021-04684-9","title":"Estimating null and potent modes of feedforward communication in a computational model of cortical activity","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Feed forward; Null (SQL); Null model; Pairwise comparison; Neuroscience; Visual space; Computer science; Pattern recognition (psychology); Artificial intelligence; Biology; Perception; Data mining","score_opus":0.041029391255169106,"score_gpt":0.2751044827270823,"score_spread":0.23407509147191322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220832908","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929629,0.000005547709,0.0062745363,0.00013253302,0.00027380066,0.00014655924,0.000008346092,0.00000946596,0.00018628551],"genre_scores_gemma":[0.9958457,4.7827996e-7,0.00405285,0.000014590416,0.0000012922357,0.000010894975,0.000007818076,0.0000039481183,0.00006244896],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998795,0.00010693373,0.0003091705,0.00028986853,0.00040767994,0.000091398106],"domain_scores_gemma":[0.999275,0.00011964474,0.0002858184,0.00024918505,0.00004402992,0.000026270533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008496436,0.000049694958,0.000113623995,0.00011808809,0.00024361761,0.000027836653,0.00008005268,0.0000128860065,0.000007122063],"category_scores_gemma":[0.000261096,0.000049669074,0.000028776742,0.00029087346,0.00022257898,0.00012328496,0.00020439936,0.000121034325,1.0342201e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012132053,0.000086330496,0.0008641706,0.000012608884,5.632631e-7,0.0000043003265,0.00012397024,0.592635,0.40433177,0.0011552364,0.000014743608,0.0007591791],"study_design_scores_gemma":[0.00007389555,0.00002463305,0.0019587625,0.000009306332,0.0000027751692,0.000047180576,0.000030599225,0.9448235,0.01924134,0.03374428,0.000002700367,0.000040997573],"about_ca_topic_score_codex":0.000028149627,"about_ca_topic_score_gemma":0.000004947335,"teacher_disagreement_score":0.38509044,"about_ca_system_score_codex":0.000033942957,"about_ca_system_score_gemma":0.000063606385,"threshold_uncertainty_score":0.2025446},"labels":[],"label_agreement":null},{"id":"W4220833196","doi":"10.1038/s41537-022-00239-7","title":"Does temporal irregularity drive prediction failure in schizophrenia? temporal modelling of ERPs","year":2022,"lang":"en","type":"article","venue":"Schizophrenia","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Deutsche Forschungsgemeinschaft; Canadian Institutes of Health Research; European Commission","keywords":"N100; Electroencephalography; Psychology; Schizophrenia (object-oriented programming); Event-related potential; Latency (audio); Audiology; Auditory event; Computer science; Speech recognition; Neuroscience; Cognition; Medicine","score_opus":0.021724239003598052,"score_gpt":0.2246581244264807,"score_spread":0.20293388542288265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220833196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953022,0.000022470109,0.001344661,0.0007253879,0.0014058127,0.00050411036,0.00037389807,0.00015215509,0.00016933176],"genre_scores_gemma":[0.99714947,0.000010719031,0.0019377226,0.000111996735,0.00015747097,0.00008321838,0.00008055594,0.000040406016,0.0004284172],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99707025,0.0003573581,0.00062338286,0.00079927145,0.000739128,0.0004106054],"domain_scores_gemma":[0.9989414,0.00012172358,0.00030880436,0.0004731432,0.000047110312,0.00010779792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045396667,0.00027817377,0.00036159094,0.0004010064,0.00042388367,0.000057917026,0.00045726134,0.000105434934,0.00018024677],"category_scores_gemma":[0.000098806646,0.00022181043,0.00016574169,0.0009621571,0.00015116793,0.00045646273,0.00033434553,0.00080629694,0.000009581048],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010852977,0.0016449481,0.05491588,0.00024330454,0.000053493313,0.00028424116,0.0011341914,0.27873614,0.5977675,0.040115222,0.002101245,0.012150849],"study_design_scores_gemma":[0.007869874,0.0010150989,0.010262482,0.00011931135,0.000058530517,0.0001080914,0.0005020209,0.86478764,0.04700361,0.061893404,0.0052135694,0.0011663779],"about_ca_topic_score_codex":0.00031783906,"about_ca_topic_score_gemma":0.00036168873,"teacher_disagreement_score":0.58605146,"about_ca_system_score_codex":0.00014194897,"about_ca_system_score_gemma":0.00014574834,"threshold_uncertainty_score":0.9045167},"labels":[],"label_agreement":null},{"id":"W4220837084","doi":"10.7554/elife.72549","title":"Cell-type-specific responses to associative learning in the primary motor cortex","year":2022,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Neuroscience; Associative learning; Psychology; Classical conditioning; Stimulus (psychology); Primary motor cortex; Cell type; Associative property; Motor learning; Premovement neuronal activity; Conditioning; Motor cortex; Biology; Cognitive psychology; Cell; Stimulation","score_opus":0.03202863314175685,"score_gpt":0.256287979996244,"score_spread":0.22425934685448712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220837084","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937307,0.000034365345,0.0000131280685,0.0016016877,0.0004973829,0.0002456013,0.0000141239225,0.000041869094,0.003821114],"genre_scores_gemma":[0.9828058,0.000028704248,0.000020794101,0.008060467,0.00006185046,0.00004007248,0.0000041772073,0.000011242504,0.008966902],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99834263,0.0006510947,0.00012394076,0.00025020933,0.0004531007,0.0001790077],"domain_scores_gemma":[0.9990201,0.00074093364,0.0000635561,0.0001298742,0.000016921382,0.000028594253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055627635,0.00007154928,0.000083420375,0.0000837642,0.00037893935,0.0000444354,0.00019675071,0.000015965328,0.00010354168],"category_scores_gemma":[0.0004907936,0.000057859597,0.000033194632,0.000538849,0.000017032262,0.000051710686,0.0001398688,0.0003788515,0.00008085545],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032506313,0.00009726336,0.0032215784,0.0000024789706,9.045723e-7,0.000077218894,0.0016734626,0.00039054913,0.97898334,0.00044420784,0.014078307,0.0007056147],"study_design_scores_gemma":[0.0004897764,0.0011185001,0.5079249,0.000005386894,0.0000038220182,0.000022089318,0.0016199844,0.0015942063,0.0069226664,0.00012186499,0.47990152,0.00027524956],"about_ca_topic_score_codex":0.000008417476,"about_ca_topic_score_gemma":0.0000018415433,"teacher_disagreement_score":0.9720607,"about_ca_system_score_codex":0.0001363601,"about_ca_system_score_gemma":0.000041097624,"threshold_uncertainty_score":0.29145336},"labels":[],"label_agreement":null},{"id":"W4220849199","doi":"10.1101/2022.03.16.484595","title":"Resolving the mesoscopic missing link: Biophysical modeling of EEG from cortical columns in primates","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Eye Institute; NIH Office of the Director","keywords":"Local field potential; Computer science; Electroencephalography; Neuroscience; Macaque; Mesoscopic physics; Artificial intelligence; Physics; Psychology","score_opus":0.0261453517224906,"score_gpt":0.24080413008842477,"score_spread":0.21465877836593417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220849199","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951851,0.00021025087,0.001253085,0.0011571643,0.0011987791,0.00061451225,0.00020885661,0.0001601967,0.000012051055],"genre_scores_gemma":[0.99809605,0.00013052156,0.0010144416,0.00034582158,0.0002165878,0.000102363505,5.066548e-7,0.00009056434,0.000003139285],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964166,0.00048026378,0.0007678227,0.0011419482,0.0006301802,0.00056315033],"domain_scores_gemma":[0.99762785,0.0006404286,0.00040089156,0.0010939107,0.00009663764,0.00014030363],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005937631,0.000406467,0.0005828838,0.00020191296,0.0003599984,0.00023072009,0.000862455,0.0002693963,0.00007897396],"category_scores_gemma":[0.0010620742,0.0003721917,0.00017124078,0.00059604476,0.0001991864,0.00013973328,0.0011320022,0.001685136,0.000008326418],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004227752,0.00012464069,0.001715322,0.00011410822,0.000014868193,0.000041578238,0.00001945519,0.006801626,0.9901141,0.0009938634,0.000015018451,0.0000031486443],"study_design_scores_gemma":[0.00039890723,0.00006240953,0.031181563,0.00039662616,0.00007494535,1.6906238e-8,0.0000071745444,0.74116683,0.22586273,0.00007805061,0.0002228471,0.00054791203],"about_ca_topic_score_codex":0.0003238256,"about_ca_topic_score_gemma":0.000007096629,"teacher_disagreement_score":0.76425135,"about_ca_system_score_codex":0.0003205325,"about_ca_system_score_gemma":0.00044034826,"threshold_uncertainty_score":0.999873},"labels":[],"label_agreement":null},{"id":"W4220850730","doi":"10.1371/journal.pone.0265719","title":"Processing time affects sequential memory performance beginning at the level of visual encoding","year":2022,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"Japan Society for the Promotion of Science; Hokkaido University","keywords":"Recall; Encoding (memory); Stimulus (psychology); Visual short-term memory; Task (project management); Visual memory; Neuroscience; Working memory; Cognitive psychology; Psychology; Cognition; Computer science; Audiology; Medicine","score_opus":0.11528136393830903,"score_gpt":0.268031364933626,"score_spread":0.152750000995317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220850730","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978959,0.000020931877,0.000020839105,0.00026602158,0.000091551025,0.00018980542,0.000013370742,0.000041383846,0.0014602143],"genre_scores_gemma":[0.9949496,0.000005771424,0.000037973245,0.00029664295,0.00006763334,0.000027646283,0.000004421823,0.00001543411,0.004594881],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988684,0.00009762555,0.00011956414,0.00022390501,0.00050624105,0.00018426466],"domain_scores_gemma":[0.99959534,0.00011646665,0.00013107173,0.00011436889,0.000018733812,0.000023990615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024393706,0.0000825697,0.000115998075,0.00005402288,0.0007239858,0.000025852316,0.00017484251,0.000015560576,0.00022878178],"category_scores_gemma":[0.00009344066,0.000067006345,0.000032881628,0.00026311332,0.00007857571,0.00015211804,0.00029240834,0.0001907053,0.000019637686],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004130686,0.00017242013,0.00022560182,0.000071480936,0.000005057988,0.0000039858655,0.00021300731,0.00057145255,0.9966666,0.000015101795,0.000047173173,0.001966809],"study_design_scores_gemma":[0.00015769438,0.00019584747,0.00042441988,0.000043919445,0.000022002017,0.000012939972,0.000027404012,0.17206866,0.8269181,0.00001093356,0.000032976026,0.00008509824],"about_ca_topic_score_codex":0.0000037275,"about_ca_topic_score_gemma":0.0000010481428,"teacher_disagreement_score":0.1714972,"about_ca_system_score_codex":0.000081247366,"about_ca_system_score_gemma":0.00003509949,"threshold_uncertainty_score":0.55683863},"labels":[],"label_agreement":null},{"id":"W4220894640","doi":"10.1002/hbm.25835","title":"Spatiotemporally resolved multivariate pattern analysis for M/ <scp>EEG</scp>","year":2022,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"H2020 European Research Council; Biotechnology and Biological Sciences Research Council; Novo Nordisk; Novo Nordisk Fonden; Medical Research Council Canada; Wellcome Trust; James S. McDonnell Foundation","keywords":"Interpretability; Magnetoencephalography; Computer science; Decoding methods; Artificial intelligence; Electroencephalography; Generative model; Brain activity and meditation; Multivariate statistics; Encoding (memory); Machine learning; Pattern recognition (psychology); Psychology; Neuroscience; Generative grammar","score_opus":0.06255684142788061,"score_gpt":0.2816182688519698,"score_spread":0.21906142742408918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220894640","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7969103,0.000010171923,0.19855922,0.0016347889,0.00045208458,0.000768736,0.00015058751,0.00024349823,0.0012706473],"genre_scores_gemma":[0.9893029,8.1574393e-7,0.00021881073,0.004336328,0.000116128285,0.0001928228,0.00014239042,0.0000381265,0.0056517026],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99773884,0.00030283126,0.00039061307,0.0007242478,0.00039832178,0.0004451662],"domain_scores_gemma":[0.9982545,0.0009394629,0.00028151704,0.00039672584,0.000041457915,0.000086376065],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007114807,0.00019994802,0.00027799178,0.0004798649,0.0015374213,0.00014446686,0.00040474383,0.000045143745,0.00014601399],"category_scores_gemma":[0.0007365637,0.00021686248,0.0002879788,0.00094463,0.000047861748,0.00014521834,0.00026926064,0.00026745684,0.000012175346],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007132234,0.00008772399,0.0039258837,0.0000315905,0.00007021468,0.000021905857,0.00091933546,0.0059681805,0.9815509,0.0025331455,0.003280431,0.0016036005],"study_design_scores_gemma":[0.0028333429,0.0006066562,0.3109227,0.00003172153,0.00021553262,0.000016241302,0.001136833,0.46502063,0.0048551406,0.011491878,0.20229462,0.00057468755],"about_ca_topic_score_codex":0.00013929958,"about_ca_topic_score_gemma":0.0000771605,"teacher_disagreement_score":0.9766957,"about_ca_system_score_codex":0.00010891762,"about_ca_system_score_gemma":0.000024878507,"threshold_uncertainty_score":0.9997624},"labels":[],"label_agreement":null},{"id":"W4220897466","doi":"10.1101/2022.03.08.483425","title":"Hippocampal gamma and sharp wave/ripples mediate bidirectional interactions with cortical networks during sleep","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; European Commission","keywords":"Neocortex; Hippocampal formation; Neuroscience; Memory consolidation; Hippocampus; Slow-wave sleep; Pyramidal cell; Psychology; Electroencephalography","score_opus":0.018421975816038327,"score_gpt":0.21700281096087498,"score_spread":0.19858083514483665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220897466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99429286,0.00017097576,0.0009896351,0.00031923104,0.0029691758,0.0005529664,0.00022577014,0.0004511656,0.000028199698],"genre_scores_gemma":[0.9977678,0.00036511302,0.00043310094,0.00028698726,0.00067063275,0.00031682677,0.0000011756856,0.00012411074,0.00003426562],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99671644,0.00027446172,0.0004620757,0.0013962041,0.0005575769,0.000593245],"domain_scores_gemma":[0.9982312,0.00031610945,0.00034953264,0.00064275437,0.00013142271,0.00032903074],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028837586,0.00052654534,0.0004368493,0.00030734437,0.00077152066,0.00035630626,0.00031076022,0.00021496645,0.00030976176],"category_scores_gemma":[0.00031738274,0.0005137283,0.00014124188,0.0005808821,0.00023482306,0.00026344802,0.0007878337,0.0018274303,0.000012039817],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035749553,0.00024831214,0.008597193,0.00018813105,0.00013863275,0.00042101854,0.000014959572,0.0051451265,0.9830572,0.0016597314,0.0001626218,0.000009584749],"study_design_scores_gemma":[0.0024086135,0.000490615,0.6116241,0.0005700785,0.0004920052,0.000006221479,0.000020146776,0.19918323,0.17106587,0.000024369201,0.010788271,0.0033264812],"about_ca_topic_score_codex":0.000026817315,"about_ca_topic_score_gemma":0.000012106378,"teacher_disagreement_score":0.81199133,"about_ca_system_score_codex":0.0003008263,"about_ca_system_score_gemma":0.0001685176,"threshold_uncertainty_score":0.9997314},"labels":[],"label_agreement":null},{"id":"W4220906738","doi":"10.7554/elife.77177","title":"The role of higher-order thalamus during learning and correct performance in goal-directed behavior","year":2022,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"National Health and Medical Research Council; Australian Research Council; Sylvia and Charles Viertel Charitable Foundation","keywords":"Thalamus; Optogenetics; Somatosensory system; Sensory system; Premovement neuronal activity; Sensory processing; Encoding (memory); Cortex (anatomy)","score_opus":0.00784074403709545,"score_gpt":0.22452811540938822,"score_spread":0.21668737137229277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220906738","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984758,0.00010957644,2.2126794e-7,0.000054386936,0.00031280128,0.000113356095,0.0000022818358,0.000042424177,0.00088913884],"genre_scores_gemma":[0.9976673,0.000110251276,0.0000054059597,0.000037427268,0.00001767391,0.00004384501,0.000001020001,0.000008958115,0.0021080885],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99927855,0.000102860555,0.000119012984,0.00016148467,0.0001982089,0.00013988285],"domain_scores_gemma":[0.99971354,0.00011416194,0.00006510288,0.00007428179,0.000014017498,0.000018906307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012901222,0.00005872601,0.000069160866,0.000040988303,0.00039310497,0.000017672539,0.00007328265,0.00001318364,0.000038786355],"category_scores_gemma":[0.00009194592,0.000046844798,0.000014915705,0.00027167477,0.000041109186,0.00005516342,0.000119788216,0.0002408539,0.0000018554939],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007294477,0.000045420973,0.35458463,0.000006272406,9.543222e-7,0.000009848327,0.0001925527,0.0008666428,0.6347384,0.0000932167,0.000009431074,0.009379675],"study_design_scores_gemma":[0.00038346072,0.00015542061,0.85317546,0.000007236166,0.00000449184,0.00003707606,0.0001809123,0.020429075,0.11372624,0.00000969274,0.011778996,0.00011190383],"about_ca_topic_score_codex":0.000020769348,"about_ca_topic_score_gemma":0.000009775602,"teacher_disagreement_score":0.5210122,"about_ca_system_score_codex":0.000024746845,"about_ca_system_score_gemma":0.000011320358,"threshold_uncertainty_score":0.30234852},"labels":[],"label_agreement":null},{"id":"W4220916618","doi":"10.1002/biot.202100561","title":"Dopaminergic signaling regulates zebrafish larvae's response to electricity","year":2022,"lang":"en","type":"article","venue":"Biotechnology Journal","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Quinpirole; Dopamine; Dopaminergic; Apomorphine; Zebrafish; Agonist; Dopamine receptor; Neuroscience; Dopamine receptor D2; Dopamine agonist; Biology; Dopaminergic pathways; Chemistry; Pharmacology; Receptor; Biochemistry","score_opus":0.01537461741726601,"score_gpt":0.23300921605625424,"score_spread":0.21763459863898824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220916618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9743821,0.000042751817,0.0006772646,0.023820646,0.0006804092,0.00013170371,0.000009724478,0.0002007697,0.00005460644],"genre_scores_gemma":[0.99633,0.000019114375,0.0003200631,0.0023933349,0.000085648375,0.0000133508565,7.039018e-7,0.000020592242,0.00081718655],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99820006,0.00040089965,0.00027096906,0.0003683876,0.00033242715,0.0004272682],"domain_scores_gemma":[0.9992659,0.00022334137,0.00015922292,0.00021981873,0.000029659934,0.00010204649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008549658,0.00013843333,0.00016209336,0.00061306823,0.0010403054,0.00007480367,0.00054564246,0.00011898858,0.00021604126],"category_scores_gemma":[0.0010284998,0.00013017081,0.00008576834,0.0011574929,0.00007388328,0.00009460713,0.00030057007,0.0010682318,0.000032220985],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052405044,0.000053037587,0.000030670133,8.761952e-7,0.000003794842,0.00026430798,0.000021223526,0.0014950037,0.99144924,0.0011802065,0.0019307972,0.0030468034],"study_design_scores_gemma":[0.00040386445,0.0010785777,0.0003007504,0.0000048406587,0.0000077819905,0.004245276,0.000059654863,0.0022453119,0.9419717,0.0032569845,0.04622503,0.00020018026],"about_ca_topic_score_codex":0.0000030155172,"about_ca_topic_score_gemma":0.0000010475782,"teacher_disagreement_score":0.04947748,"about_ca_system_score_codex":0.00019159756,"about_ca_system_score_gemma":0.00006735278,"threshold_uncertainty_score":0.80012923},"labels":[],"label_agreement":null},{"id":"W4220960592","doi":"10.1016/j.celrep.2021.110232","title":"Reduced inhibition in depression impairs stimulus processing in human cortical microcircuits","year":2022,"lang":"en","type":"article","venue":"Cell Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; University of Toronto; Centre for Addiction and Mental Health","funders":"Krembil Foundation; Centre for Addiction and Mental Health Foundation; Kavli Foundation","keywords":"Neuroscience; Inhibitory postsynaptic potential; Excitatory postsynaptic potential; Stimulus (psychology); Human brain; Somatostatin; Psychology; Premovement neuronal activity; Interneuron; Cognition; Electrophysiology; Biology","score_opus":0.021321512883292596,"score_gpt":0.2629517061949345,"score_spread":0.24163019331164193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220960592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99726963,0.00002875196,0.00003220759,0.000040970634,0.00027913626,0.000281208,0.0000010834837,0.00005099063,0.0020160484],"genre_scores_gemma":[0.99936974,0.0000016732765,0.000007215175,0.00019620247,0.000023260429,0.00005595887,0.00001364692,0.000018097433,0.0003141803],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99835247,0.00013635786,0.0004320386,0.0005232509,0.00029351423,0.0002623886],"domain_scores_gemma":[0.9995321,0.0000356162,0.00019232155,0.00017193652,0.000013170768,0.000054836622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003385055,0.00010678237,0.00013099509,0.00018048314,0.00034700483,0.000052456933,0.000047674883,0.000042680098,0.00006403738],"category_scores_gemma":[0.00014348081,0.00011146885,0.000035597837,0.0004582032,0.000043376072,0.00014588489,0.00012641177,0.00040620004,0.0000016115703],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001196502,0.0001982214,0.0074254,0.000021282785,8.967174e-8,0.0026929844,0.00020624355,0.0018067927,0.98540205,0.000007590143,0.000062744766,0.0021646146],"study_design_scores_gemma":[0.00054258335,0.00013214897,0.045228366,0.000057470836,0.000004421607,0.001016483,0.0001324664,0.008555325,0.9425814,0.0011776738,0.0003080098,0.0002636588],"about_ca_topic_score_codex":0.00004338245,"about_ca_topic_score_gemma":0.000017220213,"teacher_disagreement_score":0.042820677,"about_ca_system_score_codex":0.00019743292,"about_ca_system_score_gemma":0.00007807201,"threshold_uncertainty_score":0.45455676},"labels":[],"label_agreement":null},{"id":"W4221040162","doi":"10.1101/2022.03.31.486619","title":"Brain-wide projections and differential encoding of prefrontal neuronal classes underlying learned and innate threat avoidance","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; National Alliance for Research on Schizophrenia and Depression","keywords":"Neuroscience; Ventral tegmental area; Prefrontal cortex; Nucleus accumbens; Midbrain; Ventral pallidum; Psychology; Biology; Basal ganglia; Cognition; Central nervous system; Dopamine","score_opus":0.044317833177699585,"score_gpt":0.2612933943342279,"score_spread":0.2169755611565283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221040162","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957047,0.0001588578,0.0012073998,0.0006503729,0.001175173,0.0006349133,0.00025285978,0.00019139564,0.000024331828],"genre_scores_gemma":[0.99877733,0.0003839016,0.00022753271,0.00032188089,0.00008649484,0.0001164483,3.748716e-7,0.00006460263,0.000021462496],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99730414,0.00028164117,0.00042687013,0.0011922376,0.0004039742,0.0003911379],"domain_scores_gemma":[0.9983756,0.00051037164,0.00041671246,0.00047218407,0.00008299101,0.00014213302],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022782461,0.00041689663,0.00043596278,0.00021831048,0.0005061742,0.00024055602,0.00029189742,0.00019224585,0.00003428443],"category_scores_gemma":[0.00087911723,0.00044127885,0.00009282327,0.0003911004,0.00026905537,0.00024632516,0.0010016827,0.0008690135,0.0000012466578],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006338086,0.00008432771,0.0144386105,0.00030752155,0.000024915655,0.000018663415,0.00001649754,0.00008384704,0.98259395,0.002324401,0.000031689015,0.000012188221],"study_design_scores_gemma":[0.0012453174,0.00043925567,0.71471083,0.0003544951,0.00015380977,5.994667e-7,0.000022526176,0.010340749,0.2699443,0.00013148744,0.0014287202,0.0012279234],"about_ca_topic_score_codex":0.00006605835,"about_ca_topic_score_gemma":0.000011245272,"teacher_disagreement_score":0.71264964,"about_ca_system_score_codex":0.00016547098,"about_ca_system_score_gemma":0.00022666086,"threshold_uncertainty_score":0.9998039},"labels":[],"label_agreement":null},{"id":"W4221074462","doi":"10.1016/j.dcn.2022.101096","title":"A practical guide to applying machine learning to infant EEG data","year":2022,"lang":"en","type":"article","venue":"Developmental Cognitive Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Pacific Centre for Reproductive Medicine","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Electroencephalography; Oddball paradigm; Artificial intelligence; Computer science; Cognition; Psychology; Machine learning; Perception; Pattern recognition (psychology); Cognitive psychology; Speech recognition; Event-related potential; Neuroscience","score_opus":0.09471033399982041,"score_gpt":0.35029684553930573,"score_spread":0.2555865115394853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221074462","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96016645,0.0000046486493,0.024261514,0.003828122,0.0019251128,0.0022354776,0.00060618785,0.00032426542,0.006648199],"genre_scores_gemma":[0.9628354,0.0000054076054,0.0027174999,0.032286316,0.000025914083,0.00031607083,0.00004657445,0.00003193761,0.0017349136],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9961105,0.00032500678,0.0003396561,0.0015297651,0.0010943987,0.00060068537],"domain_scores_gemma":[0.9987237,0.00052044424,0.00010662931,0.0002624186,0.000050549967,0.00033624825],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007273426,0.00023540092,0.0001793527,0.00028163847,0.0016755849,0.00021698837,0.00093520526,0.00001911634,0.00015353537],"category_scores_gemma":[0.007909676,0.00024174931,0.000030568517,0.0018975019,0.00010928048,0.00056909735,0.0047067287,0.0005767714,0.00020293659],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001564712,0.00013253458,0.001579733,0.0000048332804,0.000001200489,0.00030950824,0.00030682757,0.00024809438,0.9844513,0.0002828314,0.0015821676,0.01094453],"study_design_scores_gemma":[0.00096691906,0.0013478014,0.0231162,0.00004544482,0.000018936373,0.0019419793,0.0013897876,0.05222712,0.09139123,0.00005574874,0.8262484,0.0012504483],"about_ca_topic_score_codex":0.00004604421,"about_ca_topic_score_gemma":0.000019882475,"teacher_disagreement_score":0.89306,"about_ca_system_score_codex":0.00016205138,"about_ca_system_score_gemma":0.00023725058,"threshold_uncertainty_score":0.9996241},"labels":[],"label_agreement":null},{"id":"W4221078731","doi":"10.1177/15500594221084994","title":"EEG Microstates in Early Phase Psychosis: The Effects of Acute Caffeine Consumption","year":2022,"lang":"en","type":"article","venue":"Clinical EEG and Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University; Mount Saint Vincent University; Dalhousie University","funders":"","keywords":"Ministate; Electroencephalography; Psychosis; Psychology; Schizophrenia (object-oriented programming); Population; Neuroscience; Caffeine; Psychiatry; Audiology; Medicine","score_opus":0.045312732034549656,"score_gpt":0.3679176802759605,"score_spread":0.32260494824141084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221078731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966896,0.00008462532,0.00003720271,0.0009029506,0.0018445447,0.0003520962,0.000039364768,0.000025009265,0.000024576097],"genre_scores_gemma":[0.9945454,0.0010405197,0.000006903053,0.004124687,0.000014044859,0.000041331674,9.763795e-7,0.000008661804,0.00021745691],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99797255,0.0004606342,0.000430579,0.00059235614,0.00029232225,0.00025155416],"domain_scores_gemma":[0.9978508,0.001595793,0.00018887754,0.0002661184,0.000013528487,0.0000849141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061285635,0.00011909397,0.00020240028,0.00007720587,0.00036023313,0.000052046715,0.0003748901,0.000030578707,0.000008101543],"category_scores_gemma":[0.000989407,0.00008582863,0.00007665785,0.0005195367,0.0007305443,0.00014978302,0.0002490631,0.0004167492,0.0000032467792],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001783198,0.00043908763,0.012035676,0.000020240293,0.0000011087451,0.000044096254,0.00009820644,0.000015308418,0.9805809,0.0003372,0.00018645836,0.0060633817],"study_design_scores_gemma":[0.007634611,0.010396962,0.8304303,0.000085895044,0.00008753743,0.00021570323,0.000046801742,0.021644074,0.11931134,0.0019061262,0.0076581025,0.00058251864],"about_ca_topic_score_codex":0.000016176838,"about_ca_topic_score_gemma":0.000003017616,"teacher_disagreement_score":0.8612696,"about_ca_system_score_codex":0.000010585432,"about_ca_system_score_gemma":0.000021470036,"threshold_uncertainty_score":0.349999},"labels":[],"label_agreement":null},{"id":"W4221080810","doi":"10.3389/fncir.2022.630621","title":"Altered Brain Criticality in Schizophrenia: New Insights From Magnetoencephalography","year":2022,"lang":"en","type":"article","venue":"Frontiers in Neural Circuits","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université de Montréal","funders":"Engineering and Physical Sciences Research Council; Medical Research Council; Institut de Valorisation des Données; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Fonds de Recherche du Québec - Santé; Cardiff University; Fonds de recherche du Québec – Nature et technologies; UK Research and Innovation","keywords":"Magnetoencephalography; Schizophrenia (object-oriented programming); Neuroscience; Psychology; Resting state fMRI; Neurocognitive; Similarity (geometry); Population; Cognition; Psychosis; Brain activity and meditation; Cognitive psychology; Medicine; Artificial intelligence; Electroencephalography; Psychiatry; Computer science","score_opus":0.02150830528305457,"score_gpt":0.23546562432202642,"score_spread":0.21395731903897186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221080810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98995775,0.0004742459,0.0006753006,0.0023039146,0.0051364503,0.00045910833,0.00009716444,0.00010396268,0.00079211715],"genre_scores_gemma":[0.9944375,0.000018961839,0.00016069117,0.0048963414,0.00017093414,0.00006069129,0.000033220666,0.00002930738,0.00019231158],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.996842,0.0006638444,0.00048240877,0.00095319666,0.00053172663,0.000526789],"domain_scores_gemma":[0.9990177,0.00030113582,0.000091602466,0.00039491497,0.000012529189,0.0001821114],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014311635,0.0002577508,0.00036722596,0.0005634441,0.00023272316,0.00008222392,0.0006049555,0.000077879995,0.00015635976],"category_scores_gemma":[0.00042850495,0.00027844973,0.00012698825,0.0016014712,0.0001388692,0.00038316424,0.00022315235,0.00086526084,0.0000075391745],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011378935,0.0012110159,0.11740822,0.00006558586,0.000022957065,0.0019567048,0.0020874657,0.0062479926,0.5662712,0.011266136,0.08267291,0.20965196],"study_design_scores_gemma":[0.010366439,0.0010618088,0.5216712,0.0000643636,0.000032560125,0.00010152537,0.0006803424,0.14592385,0.0062500965,0.2971279,0.014797409,0.0019225149],"about_ca_topic_score_codex":0.000409168,"about_ca_topic_score_gemma":0.00014997677,"teacher_disagreement_score":0.56002104,"about_ca_system_score_codex":0.0001706428,"about_ca_system_score_gemma":0.00006892505,"threshold_uncertainty_score":0.99996674},"labels":[],"label_agreement":null},{"id":"W4221089849","doi":"10.1089/brain.2021.0174","title":"Cross-Scale Dynamicity of Entropy and Connectivity in the Sleeping Brain","year":2022,"lang":"en","type":"article","venue":"Brain Connectivity","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Functional magnetic resonance imaging; Functional connectivity; Psychology; Neuroscience; Entropy (arrow of time); Brain mapping; Human brain; Sleep Stages; Computer science; Artificial intelligence; Pattern recognition (psychology); Cognitive psychology; Electroencephalography; Polysomnography; Physics","score_opus":0.02137394976418105,"score_gpt":0.2731085664248846,"score_spread":0.25173461666070357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221089849","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99001414,0.00001839608,0.0009332001,0.0072121164,0.0003414198,0.00055056525,0.00011541888,0.000051432686,0.00076330226],"genre_scores_gemma":[0.9957876,0.0000029130601,0.000017815779,0.003919111,0.000038004673,0.00007132384,0.0000043713426,0.000017394586,0.00014143685],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9966791,0.0015658451,0.00029306472,0.00065656373,0.00044335006,0.00036202258],"domain_scores_gemma":[0.9930695,0.0062564127,0.00020227786,0.00039457492,0.000026363203,0.000050849372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022587797,0.00018775684,0.00029556465,0.00014159187,0.0005976472,0.00007461026,0.00036732285,0.0000537234,0.00009040893],"category_scores_gemma":[0.0031201066,0.00016430562,0.00009969934,0.00068341003,0.00029863368,0.0002683108,0.00037667507,0.00053803483,0.0000017747647],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033344922,0.00064391026,0.121459246,0.00006305229,0.0000086341,0.000055175926,0.0014420762,0.0018901834,0.83166856,0.032255307,0.0003669482,0.009813457],"study_design_scores_gemma":[0.0024505688,0.00076209725,0.82370263,0.000018845712,0.000012446872,0.0002823116,0.000518542,0.118698336,0.03171094,0.01789976,0.0033866435,0.00055685116],"about_ca_topic_score_codex":0.00045779225,"about_ca_topic_score_gemma":0.00052653864,"teacher_disagreement_score":0.79995763,"about_ca_system_score_codex":0.00012174486,"about_ca_system_score_gemma":0.000046098045,"threshold_uncertainty_score":0.67001885},"labels":[],"label_agreement":null},{"id":"W4221089971","doi":"10.1101/2022.03.14.484293","title":"Temporal dynamics of competition between statistical learning and episodic memory in intracranial recordings of human visual cortex","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Advanced Research; National Institutes of Health; National Science Foundation","keywords":"Computer science; Episodic memory; Task (project management); Neural correlates of consciousness; Cognitive psychology; Artificial intelligence; Dynamics (music); Encoding (memory); Perspective (graphical); Cognitive science; Psychology; Neuroscience; Cognition","score_opus":0.015656718707179353,"score_gpt":0.25738177072143786,"score_spread":0.2417250520142585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221089971","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99702835,0.000021174139,0.0013249045,0.000057486002,0.0004858365,0.0004616821,0.0005252136,0.000081921884,0.000013412552],"genre_scores_gemma":[0.99916357,0.000062332285,0.00053625565,0.000025268602,0.00010202358,0.00003382667,0.0000062965087,0.00006594634,0.0000044775816],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9971293,0.00043399652,0.0008270315,0.0008253511,0.00045808198,0.0003262169],"domain_scores_gemma":[0.9983799,0.00035591697,0.00075920386,0.00027601275,0.000109566856,0.00011940687],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00071213767,0.0003291851,0.00069997465,0.000418973,0.00017003802,0.000058286154,0.00027079417,0.00024678218,0.00012013036],"category_scores_gemma":[0.0004897883,0.00039251603,0.000078346275,0.00045544814,0.00032029155,0.00011754393,0.00055864133,0.0012259834,0.0000015362366],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000071133516,0.00015987545,0.13118681,0.0005365039,0.000016737167,0.000062371895,0.000012283984,0.00006957095,0.8631727,0.0046735927,0.0000039245147,0.000034451168],"study_design_scores_gemma":[0.0016661392,0.0012631415,0.8743071,0.0005755523,0.00014617934,1.5709949e-7,0.00004152637,0.039588172,0.0810018,0.00015574924,0.00011511039,0.0011393481],"about_ca_topic_score_codex":0.0002783629,"about_ca_topic_score_gemma":0.000023652748,"teacher_disagreement_score":0.78217095,"about_ca_system_score_codex":0.0002500588,"about_ca_system_score_gemma":0.0001612646,"threshold_uncertainty_score":0.99985266},"labels":[],"label_agreement":null},{"id":"W4221093366","doi":"10.1101/2022.03.04.482986","title":"Misinterpreting the horseshoe effect in neuroscience","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Dimensionality reduction; Curse of dimensionality; Neuroscience; Horseshoe (symbol); Variation (astronomy); Artificial intelligence; Statistical physics; Dynamical systems theory; Systems neuroscience; Computer science; Psychology; Cognitive psychology; Cognitive science; Physics","score_opus":0.016535454726888443,"score_gpt":0.23814626667923458,"score_spread":0.22161081195234614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221093366","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925642,0.000116630545,0.00018681733,0.0008271887,0.004805295,0.0010421283,0.000089711415,0.0002974568,0.00007057091],"genre_scores_gemma":[0.9969719,0.00009106778,0.000049878017,0.0022750841,0.0001875324,0.0003131626,6.162734e-8,0.000094676994,0.000016648151],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9955646,0.0009175506,0.00050425343,0.0015983692,0.0007110239,0.0007042147],"domain_scores_gemma":[0.9974631,0.0005953562,0.00038967238,0.0013573464,0.000053255597,0.00014123849],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014283397,0.0005153668,0.0004274573,0.00030768538,0.00051414274,0.0004530036,0.0015707192,0.00019380897,0.000071208124],"category_scores_gemma":[0.0023535083,0.00042116092,0.00019372496,0.0012287848,0.00024985388,0.0001869546,0.0016956633,0.0019149922,0.000027655535],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038464143,0.00006166111,0.004462848,0.000091277136,0.0000026105251,0.0001508349,0.000009385371,0.0009736997,0.99335784,0.00071575114,0.00013070172,0.000004906968],"study_design_scores_gemma":[0.00091346784,0.00052607333,0.14808798,0.0005172291,0.00008016982,2.2669364e-7,0.000006464982,0.05842837,0.7704566,0.000026768545,0.0189529,0.002003747],"about_ca_topic_score_codex":0.00005736105,"about_ca_topic_score_gemma":0.0000028706284,"teacher_disagreement_score":0.22290125,"about_ca_system_score_codex":0.00031628943,"about_ca_system_score_gemma":0.00022710586,"threshold_uncertainty_score":0.99982405},"labels":[],"label_agreement":null},{"id":"W4221148165","doi":"10.48550/arxiv.2203.09719","title":"Evolution as Explanation: The Origins of Neural Codes and their Efficiencies","year":2022,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; California Institute of Technology","keywords":"Natural selection; Selection (genetic algorithm); Explanatory power; Process (computing); Neural coding; Adaptive evolution; Computer science; Natural (archaeology); Artificial neural network; Evolutionary dynamics; Coding (social sciences); Cognitive science; Artificial intelligence; Sociology; Biology; Psychology; Epistemology; Philosophy","score_opus":0.0722717027288682,"score_gpt":0.19359235639653924,"score_spread":0.12132065366767104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221148165","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952764,0.00003632862,0.0021273561,0.00017732443,0.0006792751,0.0002439917,0.000083195846,0.000054261298,0.0013218516],"genre_scores_gemma":[0.99889165,0.00017481131,0.0000020504397,0.0000866488,0.00003477095,0.000001307941,0.000010136927,0.000008981731,0.0007896549],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99890447,0.00020400548,0.00012895734,0.00051821995,0.00009227173,0.00015206142],"domain_scores_gemma":[0.9990761,0.00026992464,0.00021554319,0.00035190905,0.00004629861,0.000040191342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016636016,0.00016384484,0.0001580511,0.00012723563,0.0003586207,0.000031541535,0.00043843285,0.00006824024,0.00007771641],"category_scores_gemma":[0.000111795984,0.00012695591,0.00009569885,0.0004002428,0.00023542966,0.000113077534,0.00066067127,0.00036193713,0.0000035685011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001180776,0.00008570204,0.0034688653,0.00006306914,0.00001556681,0.000039013954,0.0004665525,0.33934543,0.019753655,0.6363254,0.00009385032,0.00022476909],"study_design_scores_gemma":[0.00035910882,0.0002203079,0.007487446,0.00002171235,0.00005554223,0.000030231215,0.0015807175,0.9415388,0.0039328444,0.042626828,0.0017911709,0.00035528332],"about_ca_topic_score_codex":0.00027164066,"about_ca_topic_score_gemma":0.000040535127,"teacher_disagreement_score":0.60219336,"about_ca_system_score_codex":0.00020460067,"about_ca_system_score_gemma":0.000064188214,"threshold_uncertainty_score":0.51771116},"labels":[],"label_agreement":null},{"id":"W4223454465","doi":"10.1111/psyp.14052","title":"Recommendations and publication guidelines for studies using frequency domain and time‐frequency domain analyses of neural time series","year":2022,"lang":"en","type":"article","venue":"Psychophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":146,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Institute of Mental Health; National Institute on Aging","keywords":"Replication (statistics); Data science; Field (mathematics); Computer science; Brain function; Psychology; Function (biology); Time domain; Cognitive science; Neuroscience; Medicine","score_opus":0.16505482462084214,"score_gpt":0.4078256230793009,"score_spread":0.24277079845845878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4223454465","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98660856,0.00032714862,0.0002293648,0.011673621,0.00038160593,0.00036673635,0.00021488595,0.000037489746,0.00016058945],"genre_scores_gemma":[0.9134412,0.0009581569,0.07754922,0.00609639,0.00036724348,0.00047993477,0.00032447206,0.000068743764,0.0007146579],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99866754,0.00024982175,0.00039126282,0.00041945456,0.00009342531,0.00017849066],"domain_scores_gemma":[0.9990226,0.00030193425,0.00026111555,0.00018830146,0.00019046153,0.00003559567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022874895,0.00013605478,0.0002650557,0.000162212,0.00047012282,0.00002118918,0.00012206297,0.000032970725,0.00007351768],"category_scores_gemma":[0.00048549828,0.00012123588,0.000052259067,0.0003291875,0.00021881216,0.00025134714,0.00010889903,0.00008597261,0.0000017158322],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006051432,0.000034079618,0.000048188766,0.000018993758,0.000019400575,4.70756e-7,0.00011971247,0.000034013563,0.99417084,0.0031218934,0.0015351502,0.00083672866],"study_design_scores_gemma":[0.0015437953,0.0018942889,0.0011335143,0.00002588685,0.00009724926,0.00015413787,0.0009779193,0.014824621,0.01787528,0.9591323,0.0017844607,0.0005565254],"about_ca_topic_score_codex":0.000024657566,"about_ca_topic_score_gemma":0.0000025432075,"teacher_disagreement_score":0.9762956,"about_ca_system_score_codex":0.00002871837,"about_ca_system_score_gemma":0.000018641605,"threshold_uncertainty_score":0.49438557},"labels":[],"label_agreement":null},{"id":"W4223582258","doi":"10.1016/j.ijpsycho.2022.04.007","title":"Entrainment of somatosensory beta and gamma oscillations accompany improvement in tactile acuity after periodic and aperiodic repetitive sensory stimulation","year":2022,"lang":"en","type":"article","venue":"International Journal of Psychophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Baycrest Hospital","funders":"Canadian Institutes of Health Research; University of Toronto","keywords":"Somatosensory system; Sensory stimulation therapy; Stimulation; Stimulus (psychology); Magnetoencephalography; Aperiodic graph; Sensory system; Neuroscience; Psychology; Entrainment (biomusicology); Audiology; Sensation; Communication; Electroencephalography; Rhythm; Medicine; Cognitive psychology; Mathematics; Internal medicine","score_opus":0.014985790540816541,"score_gpt":0.2723061291103613,"score_spread":0.2573203385695447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4223582258","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99773026,0.00004028661,0.000056734767,0.0010370184,0.0008642187,0.00012525334,0.00006953341,0.000003770003,0.000072941475],"genre_scores_gemma":[0.999109,0.000119282864,0.00006346044,0.00057340326,0.00008372888,0.00001066736,0.0000037677266,0.0000065960985,0.000030068066],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988033,0.00015106205,0.00041330396,0.00020983662,0.00031423755,0.00010826618],"domain_scores_gemma":[0.99924695,0.0001758576,0.0003772012,0.00007640867,0.000081548606,0.000042046293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014993471,0.00009265713,0.00017550643,0.00024441144,0.00007095852,0.000020893936,0.00011887321,0.000028144425,0.00014918111],"category_scores_gemma":[0.00005490145,0.00008676628,0.000056926576,0.00007837589,0.00012470859,0.0001468116,0.000107994296,0.00020982538,7.063763e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000612091,0.00014799675,0.004187335,0.0000059715767,0.000023095223,0.00003857972,0.00047955962,0.0006560754,0.9887388,0.0003148613,0.000016099095,0.004779534],"study_design_scores_gemma":[0.004736182,0.0018208958,0.9251531,0.00005956305,0.000042986467,0.00078480254,0.0011148484,0.014238055,0.04187577,0.007990686,0.0018312092,0.00035192847],"about_ca_topic_score_codex":0.00001058818,"about_ca_topic_score_gemma":0.0000049554114,"teacher_disagreement_score":0.94686306,"about_ca_system_score_codex":0.000092179114,"about_ca_system_score_gemma":0.00003341484,"threshold_uncertainty_score":0.35382265},"labels":[],"label_agreement":null},{"id":"W4223619953","doi":"10.1101/2022.04.08.487686","title":"A Neurodynamic Model of Inter-Brain Coupling in the Gamma Band","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Jewish General Hospital; Université de Montréal; Mila - Quebec Artificial Intelligence Institute; Centre Hospitalier Universitaire Sainte-Justine","funders":"Jewish General Hospital; Institut de Valorisation des Données; Compute Canada","keywords":"Coupling (piping); Neuroscience; Physics; Electroencephalography; Synchronization (alternating current); Theta rhythm; Psychology; Kuramoto model; Rhythm; Frequency band; Computer science; Telecommunications; Engineering; Bandwidth (computing)","score_opus":0.028588750969233724,"score_gpt":0.2361438467466361,"score_spread":0.2075550957774024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4223619953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949226,0.00005641742,0.00177768,0.0011416253,0.0009479724,0.000791228,0.00021863918,0.00012223629,0.000021598013],"genre_scores_gemma":[0.99791694,0.00008544794,0.00014175974,0.0014624007,0.00008275841,0.00020811449,2.6692592e-7,0.00008974403,0.0000125973265],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969969,0.00027055337,0.0006369074,0.001081706,0.00054858805,0.00046539068],"domain_scores_gemma":[0.997687,0.0004155213,0.00048203935,0.0012491804,0.00008517616,0.00008111993],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010004143,0.00042738437,0.00045708896,0.00037451292,0.0001787682,0.00015535031,0.0012404373,0.00020136534,0.000037136033],"category_scores_gemma":[0.00071618916,0.00038165282,0.00018578894,0.0007730755,0.0001490329,0.00013943577,0.00062223023,0.0014132244,0.0000061510873],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043454,0.0001481742,0.0008120537,0.00015876391,0.0000070090928,0.000052111856,0.00002172648,0.06441573,0.93234485,0.0018968445,0.000098612916,6.7377925e-7],"study_design_scores_gemma":[0.00045091246,0.000108545784,0.0067525506,0.00014864809,0.00003355425,4.832464e-8,0.00000816262,0.9140122,0.07744988,0.00004083213,0.00044993832,0.0005447132],"about_ca_topic_score_codex":0.00004283302,"about_ca_topic_score_gemma":0.000007098838,"teacher_disagreement_score":0.85489494,"about_ca_system_score_codex":0.00018636472,"about_ca_system_score_gemma":0.00028143148,"threshold_uncertainty_score":0.99986356},"labels":[],"label_agreement":null},{"id":"W4224022215","doi":"10.1101/2022.04.01.483303","title":"Trait anxiety is associated with hidden state inference during aversive reversal learning","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"NIHR Oxford Biomedical Research Centre; Medical Research Council; Max-Planck-Gesellschaft; Bundesministerium für Bildung und Forschung; McMaster University; European Commission; National Institute for Health and Care Research; Australian Government; Wellcome Trust","keywords":"Psychology; Anxiety; Contingency; Inference; Context (archaeology); Expectancy theory; Cognitive psychology; Trait; Trait anxiety; Population; Developmental psychology; Social psychology; Artificial intelligence; Computer science; Medicine","score_opus":0.014974577529581116,"score_gpt":0.21232216032498732,"score_spread":0.1973475827954062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224022215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968277,0.00002967836,0.00016772145,0.00019601262,0.00084684667,0.000673302,0.00062175083,0.00059490866,0.00004204066],"genre_scores_gemma":[0.9985596,0.00022145805,0.00016663842,0.00046533876,0.00010728029,0.00012855357,0.000001163548,0.0001542292,0.00019573129],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99573296,0.00044247086,0.00046626487,0.0016760683,0.0008950699,0.0007871535],"domain_scores_gemma":[0.99768585,0.00023284288,0.0007827316,0.000779638,0.00025863486,0.00026029005],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00043260437,0.0006464338,0.00057452294,0.0002938591,0.0007610568,0.0003543142,0.00074671203,0.0002906905,0.00036455074],"category_scores_gemma":[0.0010347595,0.0006808763,0.00018207844,0.00095789775,0.00016326092,0.0003418818,0.0009863728,0.0023423252,0.000033208635],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013254322,0.00012077181,0.013171747,0.00016119375,0.00009850039,0.00030297783,0.00009052192,0.0019194614,0.9837667,0.00013495338,0.00009719349,0.0000034745217],"study_design_scores_gemma":[0.0023735922,0.0005013044,0.28809083,0.00073842495,0.0002547902,2.613963e-7,0.000031561332,0.007843161,0.6932679,0.00001554294,0.0040175677,0.0028650798],"about_ca_topic_score_codex":0.000072163195,"about_ca_topic_score_gemma":0.000005394657,"teacher_disagreement_score":0.2904988,"about_ca_system_score_codex":0.0007565826,"about_ca_system_score_gemma":0.0005051839,"threshold_uncertainty_score":0.9999593},"labels":[],"label_agreement":null},{"id":"W4224049153","doi":"10.1007/s11229-022-03505-4","title":"Some dilemmas for an account of neural representation: A reply to Poldrack","year":2022,"lang":"en","type":"article","venue":"Synthese","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Philosophy of language; Philosophy of science; Metaphysics; Representation (politics); Epistemology; Philosophy; Psychology; Mathematics; Artificial intelligence; Cognitive science; Mathematical economics; Computer science; Political science; Law","score_opus":0.06824894973354315,"score_gpt":0.3163950905330432,"score_spread":0.24814614079950006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224049153","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947657,0.0000063562024,0.00007349186,0.003479563,0.00069877284,0.0005230774,0.00014878258,0.000051030755,0.000253252],"genre_scores_gemma":[0.9948598,0.0000015244639,0.00011227717,0.0038453115,0.00015315102,0.00018689412,0.0000071070626,0.000018290144,0.0008156496],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988688,0.00010924135,0.0001937075,0.0003798542,0.0002722329,0.00017614999],"domain_scores_gemma":[0.9991247,0.00031353833,0.000094750314,0.00037353576,0.0000290071,0.00006447501],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019240148,0.000080137834,0.000118745476,0.00009301495,0.00019628384,0.000030363286,0.00024997367,0.00001214411,0.000097774915],"category_scores_gemma":[0.0006883575,0.0000762916,0.00007092404,0.00026618992,0.00003052903,0.00026200069,0.0001385155,0.00007560424,0.000006873344],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003366712,0.00014030069,0.00020888794,0.000015042587,0.0000027812937,0.000007906388,0.00039887556,0.0024448961,0.9826007,0.0063263597,0.0021599233,0.005357647],"study_design_scores_gemma":[0.001233065,0.004223449,0.0057264,0.000021932246,0.000047006382,0.00015667628,0.0016177599,0.10739727,0.77383584,0.0197546,0.085173674,0.0008123288],"about_ca_topic_score_codex":0.00011264,"about_ca_topic_score_gemma":0.000006618512,"teacher_disagreement_score":0.20876487,"about_ca_system_score_codex":0.0000350339,"about_ca_system_score_gemma":0.000019756946,"threshold_uncertainty_score":0.31110814},"labels":[],"label_agreement":null},{"id":"W4224068385","doi":"10.1101/2022.04.12.488024","title":"Spatial reasoning via recurrent neural dynamics in mouse retrosplenial cortex","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of General Medical Sciences; Canadian Institute for Advanced Research; McKnight Foundation; Companhia Brasileira de Metalurgia e Mineração; Vallee Foundation; Office of Naval Research; Simons Foundation; Howard Hughes Medical Institute; Simons Center for the Social Brain, Massachusetts Institute of Technology; National Institutes of Health; National Science Foundation","keywords":"Retrosplenial cortex; Sensory system; Chromatin structure remodeling (RSC) complex; Dynamics (music); Context (archaeology); Perception; Cued speech; Spatial relation; Computer science; Cognition; Task (project management); Cognitive map; Psychology; Artificial intelligence; Neuroscience; Cognitive science; Cognitive psychology; Cortex (anatomy); Chemistry; Biology","score_opus":0.0147386615600978,"score_gpt":0.22666752441843005,"score_spread":0.21192886285833226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224068385","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895562,0.00006740077,0.00116774,0.00026723975,0.006575161,0.0010180204,0.00083469594,0.00048978964,0.00002375905],"genre_scores_gemma":[0.9980778,0.00015167994,0.0003893743,0.0004017875,0.00048125818,0.00027133053,0.000003144995,0.00019562742,0.000027976159],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9948386,0.0005079729,0.00085412833,0.00199562,0.00089347793,0.00091019756],"domain_scores_gemma":[0.99741626,0.00014952381,0.0006902271,0.0013332929,0.00013355566,0.00027713622],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.000609226,0.0007433048,0.0007081997,0.0005053593,0.00037460125,0.00032832642,0.0010016544,0.00043678857,0.00017386416],"category_scores_gemma":[0.0007798488,0.0008652964,0.00024984303,0.00087255135,0.00015197338,0.00024435265,0.0014840198,0.0026032012,0.000029667508],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021230202,0.00032893094,0.016963476,0.00018156868,0.00001761833,0.00037425457,0.000009907859,0.0008747038,0.97896254,0.001956594,0.00008219931,0.000035899087],"study_design_scores_gemma":[0.001494513,0.00042359618,0.10716732,0.00023763016,0.00007649104,2.7681705e-7,0.000005762156,0.78608185,0.10077351,0.000013401451,0.0014841801,0.0022414734],"about_ca_topic_score_codex":0.00045412246,"about_ca_topic_score_gemma":0.000118254626,"teacher_disagreement_score":0.878189,"about_ca_system_score_codex":0.0019113964,"about_ca_system_score_gemma":0.00034199128,"threshold_uncertainty_score":0.9996978},"labels":[],"label_agreement":null},{"id":"W4224081697","doi":"10.1101/2022.04.04.487026","title":"Delay-related activity in marmoset prefrontal cortex","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada First Research Excellence Fund","keywords":"Marmoset; Macaque; Neuroscience; Prefrontal cortex; Electrophysiology; Callithrix; Primate; Psychology; Neural activity; Stimulus (psychology); Working memory; Biology; Cognitive psychology; Cognition","score_opus":0.01781622893061299,"score_gpt":0.2257224244623217,"score_spread":0.20790619553170872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224081697","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943389,0.00008281607,0.00008800122,0.00020677304,0.0032414342,0.0009872395,0.0005568975,0.00042004348,0.00007789029],"genre_scores_gemma":[0.9988169,0.00014517498,0.0001344058,0.00033783808,0.00010477024,0.00028072885,6.643733e-7,0.0001323928,0.000047128415],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9959888,0.00047340104,0.0005524145,0.0016836298,0.00061922864,0.00068253424],"domain_scores_gemma":[0.9979266,0.00017185691,0.0004790152,0.001145461,0.00006997673,0.00020711683],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00054364157,0.0005777557,0.00055456645,0.00040186217,0.00026285215,0.00019811162,0.000785689,0.00045620743,0.0003835374],"category_scores_gemma":[0.0003728209,0.00065487,0.00019067789,0.00091416866,0.00013217598,0.00026625136,0.0012768946,0.0020824024,0.000076007935],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009077755,0.00028197587,0.0032472853,0.000096157324,0.000018769157,0.00036309252,0.000006188347,0.00036460656,0.99485004,0.0005643795,0.000109985085,0.000006729124],"study_design_scores_gemma":[0.0010734997,0.00022479972,0.6324337,0.00017869665,0.00007302081,1.8736816e-7,0.0000026814262,0.021633156,0.33822605,0.000029732537,0.004421134,0.001703299],"about_ca_topic_score_codex":0.0001513894,"about_ca_topic_score_gemma":0.00001369617,"teacher_disagreement_score":0.656624,"about_ca_system_score_codex":0.00076533033,"about_ca_system_score_gemma":0.0003977281,"threshold_uncertainty_score":0.9995903},"labels":[],"label_agreement":null},{"id":"W4224088859","doi":"10.1101/2022.04.12.487991","title":"Neural signatures of task-related fluctuations in auditory attention change with age","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto; Western University","funders":"Canadian Institutes of Health Research; Canada First Research Excellence Fund; Max-Planck-Institut für Kognitions- und Neurowissenschaften; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Active listening; Magnetoencephalography; Psychology; Dissociation (chemistry); Audiology; Task (project management); Cognitive psychology; Auditory cortex; Neural activity; Neural correlates of consciousness; Developmental psychology; Cognition; Electroencephalography; Neuroscience; Communication; Medicine","score_opus":0.020735036523046188,"score_gpt":0.22575902810169995,"score_spread":0.20502399157865375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224088859","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954012,0.00014960993,0.00006349119,0.00027056911,0.00255813,0.0010539739,0.0002741753,0.00021190124,0.000016947508],"genre_scores_gemma":[0.99882805,0.00008563553,0.0001329785,0.00024314508,0.00020997772,0.0003920076,0.000001906426,0.00008918769,0.000017081076],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9971774,0.00032952928,0.00051825534,0.0009943247,0.00058388116,0.00039660986],"domain_scores_gemma":[0.9983102,0.00012771985,0.0005817658,0.0007522535,0.00012323947,0.00010482602],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033925998,0.00040037028,0.00043156557,0.0005571655,0.0001829211,0.0000838762,0.00049456075,0.00029776705,0.0000974484],"category_scores_gemma":[0.00023392758,0.00039872757,0.00012882843,0.001074143,0.00018012137,0.0002448887,0.00042444278,0.0012215644,0.000008513526],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048705948,0.00016651339,0.002105344,0.00015051696,0.00001800909,0.00015956041,0.000017405928,0.0016920071,0.99473006,0.000848157,0.000060823317,0.0000029082448],"study_design_scores_gemma":[0.0012714653,0.00035701424,0.9040869,0.0004141121,0.00012331933,7.63884e-8,0.000008628014,0.01716986,0.074190155,0.000021021708,0.0011882874,0.0011691436],"about_ca_topic_score_codex":0.00008422996,"about_ca_topic_score_gemma":0.000014853256,"teacher_disagreement_score":0.9205399,"about_ca_system_score_codex":0.00024749493,"about_ca_system_score_gemma":0.0001636868,"threshold_uncertainty_score":0.99984646},"labels":[],"label_agreement":null},{"id":"W4224094912","doi":"10.1073/pnas.2113961119","title":"Mice exhibit stochastic and efficient action switching during probabilistic decision making","year":2022,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; National Eye Institute; Canadian Institutes of Health Research; National Science Foundation; National Institutes of Health; Government of Canada; Simons Foundation","keywords":"Action selection; Task (project management); Action (physics); Set (abstract data type); Probabilistic logic; Inference; Computer science; Markov decision process; Artificial intelligence; Reinforcement learning; Bayesian inference; Representation (politics); Machine learning; Bayesian probability; Markov process; Mathematics; Psychology; Statistics; Perception","score_opus":0.04850265050383621,"score_gpt":0.30603048582754744,"score_spread":0.2575278353237112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224094912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99876416,0.000016491065,0.000025990172,0.0005939997,0.000068126305,0.0002169011,0.0000062843574,0.000014425246,0.00029359994],"genre_scores_gemma":[0.99956065,0.0000024168844,0.00020912103,0.00015070189,0.00003066313,0.0000143284615,1.7754665e-8,0.000004097417,0.000027992019],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980563,0.000012556742,0.00024406757,0.00033314523,0.0012176217,0.00013633109],"domain_scores_gemma":[0.99919033,0.00036019212,0.00036207165,0.00000674989,0.00005998873,0.000020648971],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088503415,0.0000772179,0.00009318931,0.0001885676,0.00091213884,0.000040009727,0.00040201156,0.000023151833,0.000009440968],"category_scores_gemma":[0.0014217403,0.00005666256,0.00004001434,0.00077548856,0.0002328885,0.00023474035,0.0003791546,0.00021734532,3.0980533e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041379997,0.00003097955,0.00014837971,0.000038382277,9.4263254e-7,9.709842e-9,0.00011098821,0.036727138,0.94891953,0.013147025,0.000007887109,0.00082732644],"study_design_scores_gemma":[0.00045820663,0.00016551276,0.055920344,0.00025133076,0.000020407626,0.00021448512,0.00051092764,0.4975146,0.3222334,0.12244646,0.000020679128,0.00024365261],"about_ca_topic_score_codex":0.0000014653855,"about_ca_topic_score_gemma":3.5781348e-8,"teacher_disagreement_score":0.62668616,"about_ca_system_score_codex":0.000079454505,"about_ca_system_score_gemma":0.000015423588,"threshold_uncertainty_score":0.7015527},"labels":[],"label_agreement":null},{"id":"W4224117423","doi":"10.1101/2022.04.01.486760","title":"Impact on backpropagation of the spatial heterogeneity of sodium channel kinetics in the axon initial segment","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Axon; Backpropagation; Sodium channel; Gating; Stimulation; Biophysics; Chemistry; Neuroscience; Sodium; Computer science; Biology; Artificial neural network; Artificial intelligence","score_opus":0.030392388663133433,"score_gpt":0.25977904854605477,"score_spread":0.22938665988292134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224117423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99648976,0.00001725335,0.00016382044,0.00025254488,0.001606983,0.0010299006,0.00039870385,0.000027867665,0.000013182712],"genre_scores_gemma":[0.9993393,0.000032817465,0.000023286522,0.0002896445,0.00016602645,0.00010792607,4.4268972e-7,0.000039768398,8.103883e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9971974,0.0006385701,0.0005327021,0.0005872962,0.0007552018,0.0002888276],"domain_scores_gemma":[0.99796367,0.00016951292,0.00068257045,0.0010247738,0.00011116972,0.000048330596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005883534,0.00032564497,0.0003385107,0.00017103652,0.0001219441,0.000055199933,0.00081913936,0.00016841869,0.000027957072],"category_scores_gemma":[0.00030878859,0.0002157072,0.00022616277,0.0005507786,0.00014484438,0.00005388929,0.00054425985,0.0007299545,0.00000244611],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014022354,0.00041910066,0.0026612696,0.00012061477,0.000012963625,0.000008322068,0.00002222809,0.002847543,0.9935494,0.0001942688,0.000019121266,0.0000049082328],"study_design_scores_gemma":[0.00030881623,0.00032843565,0.24889217,0.00008437867,0.000025151936,2.4383917e-8,0.0000024433427,0.003113411,0.7470071,0.000006258058,0.00004268153,0.00018916134],"about_ca_topic_score_codex":0.00013297504,"about_ca_topic_score_gemma":0.000015202182,"teacher_disagreement_score":0.24654236,"about_ca_system_score_codex":0.00023260302,"about_ca_system_score_gemma":0.00019772611,"threshold_uncertainty_score":0.8796284},"labels":[],"label_agreement":null},{"id":"W4224240000","doi":"10.1016/j.physo.2022.100104","title":"Resonant neuronal groups","year":2022,"lang":"en","type":"article","venue":"Physics Open","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Collège de Maisonneuve","funders":"","keywords":"Chaotic; Neuron; Spiking neural network; Biological neuron model; Biological neural network; Artificial neural network; Computer science; Premovement neuronal activity; Neuroscience; Nonlinear system; Topology (electrical circuits); Physics; Mathematics; Artificial intelligence; Psychology","score_opus":0.062153449172535825,"score_gpt":0.2861185318708625,"score_spread":0.22396508269832668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224240000","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95748687,0.0000055341957,0.00044715605,0.0026132115,0.0013071769,0.0006097134,0.0001093426,0.00007709198,0.037343886],"genre_scores_gemma":[0.993264,0.0000027876847,0.000027321548,0.0038173255,0.00009851262,0.00007258239,0.000009474426,0.000015295258,0.0026926917],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991081,0.00010733966,0.00008280547,0.0002972421,0.00024833373,0.00015623124],"domain_scores_gemma":[0.999629,0.00007885145,0.00004834046,0.00020073136,0.0000071369127,0.000035906476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010227402,0.0000684261,0.00007715825,0.000013177211,0.00044942435,0.00010906011,0.00060944754,0.0000056367917,0.0002224381],"category_scores_gemma":[0.000029095578,0.00006556809,0.000036115463,0.00023435394,0.000023766357,0.00022494305,0.0011461007,0.00017459496,0.000064527085],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012097149,0.0003224487,0.00029001397,0.0000048956604,0.0000027939682,0.000039543924,0.00013770667,0.0011022264,0.5224222,0.42634258,0.009940508,0.039274108],"study_design_scores_gemma":[0.0017699114,0.0010336421,0.008362973,0.000007472427,0.000019284984,0.00007923196,0.000118464326,0.10136035,0.08825951,0.33317015,0.4649636,0.0008554169],"about_ca_topic_score_codex":0.000038127135,"about_ca_topic_score_gemma":0.0000017860095,"teacher_disagreement_score":0.45502308,"about_ca_system_score_codex":0.000030644707,"about_ca_system_score_gemma":0.000024849287,"threshold_uncertainty_score":0.34566543},"labels":[],"label_agreement":null},{"id":"W4224943545","doi":"10.51628/001c.35302","title":"Current State and Future Directions for Learning in Biological Recurrent Neural Networks: A Perspective Piece","year":2022,"lang":"en","type":"article","venue":"Neurons Behavior Data analysis and Theory","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University; Mila - Quebec Artificial Intelligence Institute","funders":"","keywords":"Cognitive science; Perspective (graphical); Computational neuroscience; Computer science; Artificial intelligence; Field (mathematics); Generative grammar; CLARITY; Artificial neural network; Neuroscience; Cognitive neuroscience; Learning theory; Adversarial system; Cognition; Biological neural network; Psychology; Cognitive psychology; Biology; Mathematics","score_opus":0.047116680484883086,"score_gpt":0.3167621447838664,"score_spread":0.2696454642989833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224943545","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99572015,0.0010411071,0.0012517843,0.00032924645,0.00051478966,0.00038143116,0.0007042652,0.000042924872,0.000014328838],"genre_scores_gemma":[0.9967101,0.0026200574,0.000016986476,0.00011524797,0.00007906578,0.00017010322,0.0002275175,0.000012787313,0.00004813877],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99779683,0.0007037531,0.00021607406,0.000889775,0.00013847942,0.00025510383],"domain_scores_gemma":[0.99905056,0.00041103203,0.00010971499,0.00032999844,0.00002189407,0.0000767998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048952363,0.00016169333,0.0002427669,0.00030836777,0.00065930974,0.00009037443,0.00024369809,0.000022281694,0.00005336941],"category_scores_gemma":[0.00016724088,0.00013839605,0.000088046254,0.0009460868,0.00011146523,0.00016519777,0.0005595003,0.00055081723,2.7984666e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041753176,0.0007914582,0.060766086,0.000008877844,0.000053362513,0.000043073458,0.00046573963,0.0028687615,0.0038893938,0.010418048,0.00006955206,0.9202081],"study_design_scores_gemma":[0.0010633118,0.0010501617,0.3419007,0.0000055551377,0.0012609347,0.00007894127,0.0013861867,0.6102803,0.00003639539,0.002380357,0.039900143,0.0006570304],"about_ca_topic_score_codex":0.000024737237,"about_ca_topic_score_gemma":0.00008487264,"teacher_disagreement_score":0.9195511,"about_ca_system_score_codex":0.000041975873,"about_ca_system_score_gemma":0.00001202298,"threshold_uncertainty_score":0.5643627},"labels":[],"label_agreement":null},{"id":"W4225105056","doi":"10.1016/j.neuroimage.2022.119245","title":"Variability and task-responsiveness of electrophysiological dynamics: Scale-free stability and oscillatory flexibility","year":2022,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Royal Ottawa Mental Health Centre; University of Ottawa","funders":"NIH Blueprint for Neuroscience Research; National Institute of Mental Health; Medical Research Council; Biotechnology and Biological Sciences Research Council; Instituto de Salud Carlos III; Canadian Institutes of Health Research; HORIZON EUROPE Framework Programme; Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina; McDonnell Center for Systems Neuroscience; National Institutes of Health; University of Cambridge; Physicians' Services Incorporated Foundation","keywords":"Flexibility (engineering); Electrophysiology; Task (project management); Dynamics (music); Stability (learning theory); Scale (ratio); Computer science; Neuroscience; Psychology; Mathematics; Physics; Machine learning; Statistics; Engineering","score_opus":0.023580494482794145,"score_gpt":0.24579207286003085,"score_spread":0.2222115783772367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225105056","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998106,0.000012759502,0.00012322766,0.00039703594,0.000204465,0.00039446985,0.00034091697,0.000070980175,0.00035015066],"genre_scores_gemma":[0.99938834,0.000016879627,0.00006205698,0.0004383309,0.000015426675,0.000026187656,0.000005313756,0.000013857471,0.00003360607],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99673194,0.001402731,0.00031069477,0.00094675744,0.0003338624,0.0002740427],"domain_scores_gemma":[0.99793893,0.0010585326,0.00013036968,0.0007247684,0.00004813554,0.0000992908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008374879,0.00017816176,0.0002955448,0.000059995204,0.0003666617,0.00002892289,0.00029311495,0.000045859226,0.000097908414],"category_scores_gemma":[0.0018609393,0.00016390946,0.00006711538,0.00030214578,0.0006364661,0.00014014816,0.00093896413,0.00041008973,6.7919547e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006825446,0.00019055248,0.009342485,0.000056394634,0.0000014929266,0.000010987105,0.000036822406,0.000042170668,0.9863884,0.0020611535,0.00001591266,0.0011711],"study_design_scores_gemma":[0.0015744198,0.00345656,0.78174573,0.000006439596,0.000039142444,0.00016816892,0.00010988494,0.07479114,0.084071785,0.052761547,0.00063898024,0.0006361894],"about_ca_topic_score_codex":0.000026487274,"about_ca_topic_score_gemma":0.000008639863,"teacher_disagreement_score":0.90231663,"about_ca_system_score_codex":0.00009564528,"about_ca_system_score_gemma":0.00005204085,"threshold_uncertainty_score":0.6684033},"labels":[],"label_agreement":null},{"id":"W4225132401","doi":"10.3389/fnins.2022.913913","title":"Editorial: The Interplay Between Consciousness and Attention in Atypical Contexts of Experience","year":2022,"lang":"en","type":"editorial","venue":"Frontiers in Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Consciousness; Perception; Psychology; Cognitive science; Cognitive psychology; Neuroscience","score_opus":0.011576564733152845,"score_gpt":0.28443236796466065,"score_spread":0.2728558032315078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225132401","genre_codex":"editorial","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.095626935,0.000053911797,0.00026219507,0.00015014183,0.90317607,0.0004980698,0.00015780599,0.000024348908,0.000050522875],"genre_scores_gemma":[0.5506435,0.00040636485,0.000032114556,0.0002235526,0.44814748,0.00015887199,0.000019933323,0.000045421788,0.00032276037],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9956685,0.0006013883,0.00067132304,0.00119797,0.0013849761,0.0004758797],"domain_scores_gemma":[0.99761456,0.0013742243,0.0004121701,0.00046251222,0.000053368112,0.00008316183],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00085843983,0.00030901624,0.0005502119,0.00039461075,0.00025086725,0.00012740167,0.0012816018,0.0003989764,0.0000060039224],"category_scores_gemma":[0.0053678514,0.0002523199,0.00008305775,0.001100116,0.0013633495,0.00035338223,0.0006544176,0.0020148754,6.1681413e-7],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023030491,0.00008837344,0.021170057,0.000055701257,0.0000010403764,0.000029974744,0.00050022744,0.000040107694,0.025624497,0.00009943284,0.950632,0.0015283283],"study_design_scores_gemma":[0.001222205,0.0005001408,0.012602052,0.00016370199,0.00001764575,0.0000076111774,0.00035821096,0.0023593516,0.001245191,0.0010947894,0.9798247,0.00060439284],"about_ca_topic_score_codex":0.00007894458,"about_ca_topic_score_gemma":0.000027612,"teacher_disagreement_score":0.45502856,"about_ca_system_score_codex":0.0001635419,"about_ca_system_score_gemma":0.00017706888,"threshold_uncertainty_score":0.9999929},"labels":[],"label_agreement":null},{"id":"W4225165265","doi":"10.1101/2022.04.22.489199","title":"Aperiodic brain activity and response to anesthesia vary in disorders of consciousness","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"International Laboratory for Brain, Music and Sound Research; Université de Montréal; McGill University; Mila - Quebec Artificial Intelligence Institute; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Western University; Hôpital du Sacré-Cœur de Montréal; McGill University Health Centre; Montreal General Hospital","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada Research Chairs; Canada First Research Excellence Fund; Canada Excellence Research Chairs, Government of Canada; McGill University; Canadian Institute for Advanced Research","keywords":"Aperiodic graph; Electroencephalography; Consciousness; Component (thermodynamics); Anesthetic; Psychology; Propofol; Anesthesia; Neuroscience; Medicine; Mathematics; Physics","score_opus":0.012971649691719564,"score_gpt":0.2292634530521078,"score_spread":0.21629180336038822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225165265","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99527663,0.00005442521,0.0001010457,0.003088877,0.00040331823,0.00085212744,0.00010239267,0.000117715426,0.0000034548561],"genre_scores_gemma":[0.99858254,0.00007325747,0.00013867454,0.0009033509,0.000029005258,0.00019512692,6.638965e-8,0.00006916072,0.000008825665],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99694896,0.00081309036,0.0003592148,0.0011021175,0.00038886105,0.0003877683],"domain_scores_gemma":[0.9980739,0.0006439758,0.00027080273,0.00078683294,0.00005084869,0.0001736603],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000999421,0.0003690795,0.00048907514,0.0005202057,0.00016603345,0.00010052082,0.00044418257,0.00020949246,0.000039054703],"category_scores_gemma":[0.0011743441,0.00041769134,0.00008297655,0.00088055315,0.00019871202,0.00013360723,0.0006331743,0.000677798,0.0000050705253],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066814944,0.00015548254,0.0074260933,0.00014712987,0.000006021887,0.000104919294,0.000035042154,0.00024944422,0.9909366,0.00022416202,0.00003759179,0.000009371022],"study_design_scores_gemma":[0.0008635071,0.00035096853,0.7434073,0.00018505535,0.000025218083,1.7890987e-7,0.00001109414,0.0017800046,0.24869798,0.000015315647,0.0037105281,0.000952866],"about_ca_topic_score_codex":0.00013637518,"about_ca_topic_score_gemma":0.000018486406,"teacher_disagreement_score":0.74223864,"about_ca_system_score_codex":0.00020731625,"about_ca_system_score_gemma":0.0003967635,"threshold_uncertainty_score":0.9998275},"labels":[],"label_agreement":null},{"id":"W4225275445","doi":"10.1177/09593543221092708","title":"Equivocating on unconsciousness","year":2022,"lang":"en","type":"article","venue":"Theory & Psychology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Subliminal stimuli; Unconscious mind; Consciousness; Unconsciousness; Psychology; Meaning (existential); Cognitive psychology; Subconscious; Cognitive science; Psychoanalysis; Neuroscience; Psychotherapist","score_opus":0.04838089806677201,"score_gpt":0.33126270521444934,"score_spread":0.2828818071476773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225275445","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9196638,0.00001005583,0.00042708404,0.0018814061,0.0024576234,0.00012837075,0.000011067551,0.0001257199,0.0752949],"genre_scores_gemma":[0.9751587,0.0000031843847,0.0000117273485,0.022331486,0.00007783662,0.00004568788,0.0000024788035,0.000016925746,0.0023520063],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984369,0.0006656832,0.0001283326,0.00039136014,0.00014532475,0.00023238116],"domain_scores_gemma":[0.9991315,0.00044309377,0.000069354894,0.00031423688,0.0000067017136,0.00003511746],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00052062504,0.000088914436,0.000095036135,0.00009226221,0.00040009286,0.0000115972625,0.00029115734,0.000023948682,0.0012728422],"category_scores_gemma":[0.00016746935,0.00008347707,0.000041808213,0.0002483497,0.000107689535,0.000031605297,0.000111848,0.0002890567,0.00020009532],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003445814,0.0001572616,0.00007158279,0.0000022030456,0.0000024672684,0.000045827255,0.00016567513,0.00034019083,0.50161296,0.45774367,0.0014111762,0.038102385],"study_design_scores_gemma":[0.0014833618,0.0022307297,0.001754422,0.0000068598674,0.000013773257,0.0005894568,0.0003284281,0.0010625414,0.019166794,0.91133225,0.061516285,0.00051511603],"about_ca_topic_score_codex":0.0000016111162,"about_ca_topic_score_gemma":8.082039e-7,"teacher_disagreement_score":0.48244616,"about_ca_system_score_codex":0.000029911405,"about_ca_system_score_gemma":0.000010797952,"threshold_uncertainty_score":0.9996401},"labels":[],"label_agreement":null},{"id":"W4225401868","doi":"10.1101/2022.04.29.489963","title":"Neural networks with optimized single-neuron adaptation uncover biologically plausible regularization","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research; Computer Research Institute of Montréal; Université de Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"Fonds de recherche du Québec – Nature et technologies; National Institutes of Health; Fonds de Recherche du Québec - Santé; Institut de Valorisation des Données; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Computer science; Artificial neural network; Neural coding; Robustness (evolution); Biological neural network; Models of neural computation; Neuron; Nonlinear system; Coding (social sciences); Artificial intelligence; Biological system; Neuroscience; Mathematics; Machine learning; Physics; Biology","score_opus":0.026880812466638728,"score_gpt":0.208679777282028,"score_spread":0.18179896481538926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225401868","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.917079,0.000080166305,0.07658895,0.00046703222,0.002875461,0.0016763655,0.00018620516,0.0009906094,0.000056251432],"genre_scores_gemma":[0.9933774,0.000088768946,0.004575077,0.0011763333,0.00031417081,0.00025915742,0.0000040521354,0.00015864383,0.000046399346],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9958351,0.00056965486,0.0005775367,0.0017120133,0.0006675026,0.0006381707],"domain_scores_gemma":[0.997703,0.0002381335,0.0007601571,0.0008687105,0.00022833701,0.00020162026],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003955389,0.00065395853,0.0005439475,0.0002787034,0.00048364923,0.00045064013,0.00063409575,0.00041712585,0.00017508827],"category_scores_gemma":[0.0004433608,0.00059513666,0.00015672157,0.0010285587,0.00016221897,0.00033299773,0.0006663358,0.001206014,0.000009646076],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033917543,0.00016175916,0.00046908722,0.000047952723,0.0000188678,0.00007271357,0.0000033014496,0.48038954,0.5174414,0.0009762588,0.000074908385,0.000005066893],"study_design_scores_gemma":[0.0014144814,0.0008742336,0.00894108,0.00011750936,0.00013319697,2.462357e-7,0.0000033965,0.9340143,0.05125964,0.0000119936385,0.001902837,0.001327067],"about_ca_topic_score_codex":0.000024390722,"about_ca_topic_score_gemma":0.0000027655708,"teacher_disagreement_score":0.46618173,"about_ca_system_score_codex":0.0003609206,"about_ca_system_score_gemma":0.0002183973,"threshold_uncertainty_score":0.99965},"labels":[],"label_agreement":null},{"id":"W4225414052","doi":"10.1038/s41583-022-00587-4","title":"Theories of consciousness","year":2022,"lang":"en","type":"review","venue":"Nature reviews. Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":823,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Consciousness; Phenomenon; Electromagnetic theories of consciousness; Cognitive science; Epistemology; Empirical research; Integrated information theory; Psychology; Cognitive psychology; Philosophy","score_opus":0.07079527210257486,"score_gpt":0.3586299530224324,"score_spread":0.28783468091985753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225414052","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000027256888,0.99018276,0.000032211236,0.000042159678,0.0049319784,0.0016467388,0.00017470744,0.00008560093,0.0029010905],"genre_scores_gemma":[0.00005871107,0.9971275,0.00002222977,0.0014736435,0.00010704774,0.00021063333,0.00001315466,0.00006172812,0.000925403],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9943877,0.0014522441,0.0011819658,0.0015003196,0.00095618627,0.000521622],"domain_scores_gemma":[0.9958847,0.0013327275,0.0014881222,0.0011216236,0.000034889505,0.00013789973],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001113403,0.00064961985,0.002434824,0.0003746129,0.0004447303,0.00009988733,0.0021189037,0.00036770751,0.00022442052],"category_scores_gemma":[0.0067482623,0.00045086246,0.0009554877,0.003222463,0.0006939449,0.00025901187,0.00065288163,0.0023647957,0.00004128673],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029583016,0.00006253212,4.265057e-7,0.0080711655,0.0000012012131,0.000035547382,0.000008976683,6.356299e-7,0.00047549844,0.028274711,0.00056361465,0.9625027],"study_design_scores_gemma":[0.00004949573,0.000106057494,7.1385824e-7,0.0019697475,0.00012585096,0.0002894316,0.0000013712393,0.000012493675,0.00007249984,0.00063374214,0.9963435,0.00039512728],"about_ca_topic_score_codex":0.0000018523256,"about_ca_topic_score_gemma":0.0000010315063,"teacher_disagreement_score":0.9957799,"about_ca_system_score_codex":0.0000908266,"about_ca_system_score_gemma":0.00035872994,"threshold_uncertainty_score":0.99993676},"labels":[],"label_agreement":null},{"id":"W4225576959","doi":"10.1007/s00422-022-00941-w","title":"Beyond Wilson–Cowan dynamics: oscillations and chaos without inhibition","year":2022,"lang":"en","type":"article","venue":"Biological Cybernetics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Université du Québec; McGill University","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Fonds de recherche du Québec – Nature et technologies; Université Laval","keywords":"Statistical physics; Chaotic; Markov chain; Bifurcation; Dynamics (music); Mean field theory; CHAOS (operating system); Physics; Mathematics; Computer science; Applied mathematics; Artificial intelligence; Statistics; Nonlinear system","score_opus":0.03288311393683228,"score_gpt":0.24539958698751235,"score_spread":0.21251647305068008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225576959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927418,0.000032045773,0.00029267877,0.001203643,0.00031887955,0.00024865213,0.00013675894,0.00010533624,0.0049202046],"genre_scores_gemma":[0.99736035,0.00007001999,0.00015584331,0.0014555826,0.00006882103,0.000035718644,0.00005585404,0.00001069987,0.0007870912],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99882144,0.000170736,0.00017897552,0.00041032984,0.00019893127,0.00021956826],"domain_scores_gemma":[0.99953294,0.00015145703,0.00008142294,0.00013892737,0.000015729518,0.000079540754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014232348,0.00012667736,0.00012731193,0.000056723504,0.0004605105,0.000048209746,0.000098045275,0.000062302366,0.00016086298],"category_scores_gemma":[0.00019495853,0.00010319681,0.000041446394,0.00022430783,0.0001812099,0.00004958203,0.00026795137,0.00023989342,0.000014427907],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013830476,0.00033016872,0.045537934,0.00001336528,0.000007668019,0.000051945673,0.00024352201,0.0006741527,0.5039892,0.4277917,0.00073988765,0.020482106],"study_design_scores_gemma":[0.003241308,0.0063796276,0.20645678,0.000027189355,0.00007252351,0.00092286075,0.00084142224,0.4088158,0.01601958,0.27315453,0.08179796,0.0022704238],"about_ca_topic_score_codex":0.000011271765,"about_ca_topic_score_gemma":0.0000137804645,"teacher_disagreement_score":0.48796964,"about_ca_system_score_codex":0.00007645764,"about_ca_system_score_gemma":0.000010790054,"threshold_uncertainty_score":0.4208244},"labels":[],"label_agreement":null},{"id":"W4226014933","doi":"10.1017/s0140525x21002016","title":"Measures of differentiation and integration: One step closer to consciousness","year":2022,"lang":"en","type":"letter","venue":"Behavioral and Brain Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Consciousness; Psychology; Wakefulness; Cognitive psychology; Consolidation (business); Neuroscience; Cognitive science; Electroencephalography; Economics","score_opus":0.10973007842802951,"score_gpt":0.3066672905496053,"score_spread":0.19693721212157578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226014933","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8036871,0.00004688591,0.00013750297,0.19476338,0.00064669305,0.0004184475,0.00011692505,0.000032989083,0.00015009256],"genre_scores_gemma":[0.8618398,0.000043037024,0.00018239375,0.13600731,0.0002706004,0.000065622546,0.000035549863,0.00001651864,0.0015392044],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99790245,0.00020393507,0.00026943447,0.00064985745,0.0007443229,0.00023000066],"domain_scores_gemma":[0.999327,0.00025083474,0.00017794664,0.00014083211,0.00004671322,0.000056693025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003326829,0.00019595263,0.00027164712,0.00024272632,0.00043927404,0.0001956507,0.00026773333,0.000107469816,0.00011631005],"category_scores_gemma":[0.00012527696,0.00015264448,0.000042613243,0.0004356576,0.0005093088,0.00020074105,0.00019852523,0.0003946453,0.0000015933464],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000115660245,0.00030842985,0.0038914697,0.00013663573,0.0000073664983,0.000058586542,0.00076708634,0.000008029238,0.7121229,0.0024122125,0.18170424,0.09846734],"study_design_scores_gemma":[0.003506824,0.025953645,0.079106644,0.0009105414,0.00062819454,0.00048135358,0.0019489805,0.0038215402,0.12767927,0.013131432,0.7373825,0.005449078],"about_ca_topic_score_codex":0.00018254292,"about_ca_topic_score_gemma":0.00010565065,"teacher_disagreement_score":0.5844437,"about_ca_system_score_codex":0.000021558031,"about_ca_system_score_gemma":0.000043873035,"threshold_uncertainty_score":0.6224661},"labels":[],"label_agreement":null},{"id":"W4226029090","doi":"10.1016/j.celrep.2021.110081","title":"Spatiotemporal structure of sensory-evoked and spontaneous activity revealed by mesoscale imaging in anesthetized and awake mice","year":2021,"lang":"en","type":"article","venue":"Cell Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stimulus (psychology); Evoked activity; Neuroscience; Sensory system; Mesoscale meteorology; Premovement neuronal activity; Electrophysiology; Wakefulness; Visual cortex; Brain activity and meditation; Evoked potential; Psychology; Electroencephalography; Physics; Stimulation; Cognitive psychology","score_opus":0.007428492401135454,"score_gpt":0.21447135514093926,"score_spread":0.2070428627398038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226029090","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989344,0.000118971584,0.000011081796,0.00022944775,0.00014505738,0.0001444227,0.0000140436305,0.000017417315,0.00038517985],"genre_scores_gemma":[0.9985883,0.00006812957,0.00007499308,0.00011159092,0.000010953405,9.954114e-7,0.0000073270753,0.000012618287,0.0011250982],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99889433,0.00011752036,0.00023155994,0.00045310962,0.00015557792,0.00014792698],"domain_scores_gemma":[0.99939173,0.000107897176,0.00021493951,0.00019453117,0.000031468644,0.000059421513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010353366,0.0001182454,0.00020707787,0.00004407666,0.00005265116,0.000031590596,0.000026741982,0.00005286398,0.000015470468],"category_scores_gemma":[0.00017198951,0.00011397575,0.000025779844,0.00013150033,0.00007800885,0.00009603337,0.00004827934,0.00013557589,1.421733e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028464498,0.000033367054,0.019937743,0.00004280155,5.724876e-7,0.008105494,0.00006358691,0.000006234066,0.97029597,0.000005057683,0.00005432539,0.0014263655],"study_design_scores_gemma":[0.0003675788,0.00002333108,0.022672456,0.000022862612,0.000009561848,0.014649155,0.00002758844,0.0014738772,0.95953685,0.00057961093,0.00048013992,0.00015697572],"about_ca_topic_score_codex":0.00009346564,"about_ca_topic_score_gemma":0.00006772166,"teacher_disagreement_score":0.010759126,"about_ca_system_score_codex":0.000019359863,"about_ca_system_score_gemma":0.00003397754,"threshold_uncertainty_score":0.46477962},"labels":[],"label_agreement":null},{"id":"W4226078465","doi":"10.1016/j.chaos.2022.112051","title":"Distinctive nonlinear dimensionality of neural spiking activity in extrastriate cortex during spatial working memory; a Higuchi fractal analysis","year":2022,"lang":"en","type":"article","venue":"Chaos Solitons & Fractals","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Western University","funders":"Whitehall Foundation; National Institutes of Health; National Science Foundation","keywords":"Working memory; Extrastriate cortex; Neuroscience; Receptive field; Psychology; Sensory system; Computer science; Visual cortex; Cognition; Sensory cortex; Cognitive psychology","score_opus":0.02647440101048718,"score_gpt":0.2679766436605763,"score_spread":0.2415022426500891,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226078465","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99769956,0.000015616642,0.00034953962,0.00020495367,0.0007235169,0.0004321678,0.00026257292,0.000069159556,0.00024293117],"genre_scores_gemma":[0.99945575,0.000004635911,0.00004453738,0.00011033645,0.00017472848,0.000060444258,0.000045482953,0.000032357133,0.00007175509],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9966656,0.0005428996,0.0005960833,0.00087474193,0.0007672228,0.0005534721],"domain_scores_gemma":[0.9980844,0.00068318285,0.00062111195,0.00044193066,0.00004342042,0.00012590799],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00047559026,0.00030566973,0.0006330025,0.00049580034,0.00054991967,0.000052386364,0.0003326352,0.00007568686,0.00027722865],"category_scores_gemma":[0.0004437557,0.0003162858,0.00036817553,0.0016823158,0.00015323014,0.00029839986,0.00052163226,0.00079118524,0.0000032658377],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069692085,0.000652358,0.040972017,0.000024427318,0.00007345377,0.00017579224,0.0004117504,0.011400733,0.9406371,0.000048379687,0.0000021488115,0.004904879],"study_design_scores_gemma":[0.0010331271,0.00016950554,0.6508194,0.00002618194,0.0001663144,0.000036045883,0.0002226023,0.24557659,0.10129186,0.00017296124,0.000045408156,0.00043998883],"about_ca_topic_score_codex":0.0011444298,"about_ca_topic_score_gemma":0.00032042357,"teacher_disagreement_score":0.8393453,"about_ca_system_score_codex":0.00027597861,"about_ca_system_score_gemma":0.00007508082,"threshold_uncertainty_score":0.99992895},"labels":[],"label_agreement":null},{"id":"W4226111270","doi":"10.1177/09637214211053635","title":"Are We in Time? How Predictive Coding and Dynamical Systems Explain Musical Synchrony","year":2022,"lang":"en","type":"article","venue":"Current Directions in Psychological Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Predictive coding; Anticipation (artificial intelligence); Psychology; Synchronization (alternating current); Musical; Coding (social sciences); Contrast (vision); Cognitive psychology; Dynamical systems theory; Cognitive science; Neural system; Communication; Computer science; Neuroscience; Artificial intelligence; Mathematics","score_opus":0.0688041398071476,"score_gpt":0.34573358239782837,"score_spread":0.27692944259068075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226111270","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933235,0.00016360723,0.0004717309,0.001604351,0.0032124883,0.0004481443,0.000042670472,0.00010454171,0.00062898174],"genre_scores_gemma":[0.9992621,0.00021071204,0.000015106024,0.00010762006,0.0000520835,0.00023629621,0.0000015482555,0.000006451145,0.000108098895],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971893,0.00042402968,0.0002390217,0.0010630244,0.0006267996,0.00045781385],"domain_scores_gemma":[0.9991471,0.00035198528,0.00012667879,0.000217151,0.000020707708,0.00013638864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094209745,0.00015410135,0.0002040135,0.00041302232,0.0006661833,0.00018576015,0.0004846971,0.000046781875,0.00005355467],"category_scores_gemma":[0.00088810077,0.00013155608,0.000038475544,0.0025471305,0.00073069613,0.00029816438,0.00039109524,0.0007145936,0.0000071179397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00087222335,0.0121453395,0.18762256,0.00016412884,0.000008795213,0.0007610605,0.0016961456,0.020163443,0.53386045,0.046864506,0.0076315384,0.18820979],"study_design_scores_gemma":[0.0011908101,0.00067636213,0.30674982,0.0001935073,0.0000072788584,0.00041879542,0.000712188,0.6763641,0.00020414458,0.0026093018,0.010240651,0.0006330218],"about_ca_topic_score_codex":0.000006092278,"about_ca_topic_score_gemma":0.0000068787417,"teacher_disagreement_score":0.6562007,"about_ca_system_score_codex":0.0004314578,"about_ca_system_score_gemma":0.000018853183,"threshold_uncertainty_score":0.5364702},"labels":[],"label_agreement":null},{"id":"W4226150746","doi":"10.21203/rs.3.rs-1136564/v1","title":"Sensory prediction errors increase coding efficiency in mouse visual cortex through gain amplification","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Centre of Excellence for Integrative Brain Function, Australian Research Council; Australian Research Council; National Health and Medical Research Council; Canadian Institute for Advanced Research; Nvidia","keywords":"Sensory system; Visual cortex; Coding (social sciences); Coding gain; Predictive coding; Computer science; Neuroscience; Psychology; Mathematics; Statistics","score_opus":0.11001265247021362,"score_gpt":0.3963231769282691,"score_spread":0.2863105244580555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226150746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940751,0.00006317817,0.0015813258,0.00030026387,0.00058526493,0.0014089989,0.00023437644,0.00019159177,0.0015598573],"genre_scores_gemma":[0.9962196,0.0017403081,0.00006717203,0.00008553232,0.00019888136,0.0002230752,0.000359451,0.000058870693,0.0010471367],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9934846,0.0019281387,0.00058730046,0.0015371279,0.0016634392,0.00079940254],"domain_scores_gemma":[0.997579,0.0009323171,0.00018838598,0.0007577179,0.00036483235,0.00017775042],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017449294,0.00031584708,0.00035605422,0.00050949067,0.00044396054,0.00041312698,0.00045404444,0.000409798,0.00009245421],"category_scores_gemma":[0.00327277,0.00032713165,0.0001540192,0.001176363,0.00027228825,0.0003273773,0.0009063851,0.0022828253,0.000055113138],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016200563,0.0006655621,0.0029426685,0.000659794,0.000006151806,0.00021041681,0.00097289565,0.0061332523,0.9851445,0.001760494,0.00014916624,0.0011930927],"study_design_scores_gemma":[0.0014353994,0.00072088337,0.046571217,0.001564347,0.000021485994,0.00005638331,0.0042399643,0.7402376,0.20162277,0.0020499618,0.00038834158,0.0010916388],"about_ca_topic_score_codex":0.0013127548,"about_ca_topic_score_gemma":0.0001896787,"teacher_disagreement_score":0.7835217,"about_ca_system_score_codex":0.0007562641,"about_ca_system_score_gemma":0.00046574188,"threshold_uncertainty_score":0.9999181},"labels":[],"label_agreement":null},{"id":"W4226217014","doi":"10.7554/elife.72875.sa2","title":"Author response: Minimal requirements for a neuron to coregulate many properties and the implications for ion channel correlations and robustness","year":2022,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Robustness (evolution); Channel (broadcasting); Computer science; Telecommunications; Biology; Genetics","score_opus":0.17263941734089716,"score_gpt":0.3444306204190567,"score_spread":0.17179120307815954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226217014","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02046595,0.0018880584,0.016719596,0.9366742,0.0038936944,0.017358936,0.0027066912,0.0001433661,0.00014953327],"genre_scores_gemma":[0.034317277,0.0010631378,0.00051661883,0.017809087,0.000338528,0.016713416,0.00045503728,0.00015455518,0.9286323],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979955,0.00026716804,0.0004266177,0.00078485,0.00022618588,0.0002997031],"domain_scores_gemma":[0.99801785,0.0010929999,0.00024149042,0.00040181662,0.00015111499,0.000094729054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079575117,0.00027853472,0.00038244235,0.00014500291,0.0010931354,0.00014439377,0.00027832488,0.00008770241,0.000026897369],"category_scores_gemma":[0.0020215698,0.00018480996,0.0001212111,0.0002705006,0.00017063222,0.00011957766,0.00029395585,0.00018761956,0.0000010758986],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0048596794,0.000096291624,0.0000036097854,0.001766053,0.000026798938,7.6797585e-7,0.0001769541,0.0006103628,0.022626534,0.013844158,0.9494514,0.006537385],"study_design_scores_gemma":[0.0015174837,0.0008328523,0.0012823057,0.00041195596,0.00027818835,0.000060929342,0.000036850663,0.08291603,0.00015341389,0.0011146893,0.910939,0.00045632565],"about_ca_topic_score_codex":0.000014776324,"about_ca_topic_score_gemma":0.000021304184,"teacher_disagreement_score":0.92848283,"about_ca_system_score_codex":0.00005668863,"about_ca_system_score_gemma":0.00008199236,"threshold_uncertainty_score":0.8407625},"labels":[],"label_agreement":null},{"id":"W4226232203","doi":"10.21203/rs.3.rs-1478619/v1","title":"Exact mean-field models for spiking neural networks with adaptation","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Moment closure; Ansatz; Artificial neural network; Statistical physics; Mean field theory; Spike (software development); Bursting; Computer science; Field (mathematics); Physics; Mathematics; Artificial intelligence; Neuroscience","score_opus":0.15551841614100442,"score_gpt":0.3792877597477699,"score_spread":0.22376934360676548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226232203","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.358349,0.00040183382,0.61866647,0.004193425,0.002640025,0.008794177,0.00031770914,0.0005209478,0.0061164484],"genre_scores_gemma":[0.9968889,0.00015847565,0.00035817653,0.00030267367,0.00035920253,0.0009767083,0.00013090053,0.00007503919,0.0007499293],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99622446,0.00039301979,0.00027106295,0.0010371472,0.001326256,0.00074802455],"domain_scores_gemma":[0.9970893,0.0017700751,0.00014492002,0.0006070892,0.00025082388,0.00013775883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001061932,0.00025828215,0.00026332197,0.0003382693,0.00077345636,0.00036192997,0.0005801705,0.00018713585,0.00011120973],"category_scores_gemma":[0.00051836914,0.00022213621,0.00015989474,0.0005131306,0.000075765405,0.0002588841,0.00089184596,0.0021105572,0.0000021962953],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056230405,0.000061526356,0.000042472908,0.00025807656,0.000008101085,0.00003891555,0.00026863857,0.97687304,0.0013508445,0.0051258686,0.00048762132,0.014922578],"study_design_scores_gemma":[0.00031174687,0.0009856804,0.000050858256,0.00011803905,0.000009093813,0.000008133908,0.00030041081,0.9896984,0.00073922647,0.0067623476,0.000763737,0.0002522911],"about_ca_topic_score_codex":0.00025323092,"about_ca_topic_score_gemma":0.00014664071,"teacher_disagreement_score":0.6385399,"about_ca_system_score_codex":0.00024391744,"about_ca_system_score_gemma":0.00016828212,"threshold_uncertainty_score":0.9169438},"labels":[],"label_agreement":null},{"id":"W4226242386","doi":"10.3389/fncel.2021.787170","title":"Corticothalamic Projections Gate Alpha Rhythms in the Pulvinar","year":2021,"lang":"en","type":"article","venue":"Frontiers in Cellular Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Excitatory postsynaptic potential; Thalamus; Rhythm; Asynchronous communication; Terminal (telecommunication); Inhibitory postsynaptic potential; Physics; Biology; Computer science","score_opus":0.029135307790397996,"score_gpt":0.24568665421816582,"score_spread":0.21655134642776783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226242386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9807046,0.00010102318,0.0075561637,0.0017938556,0.007208449,0.00044724433,0.000007694161,0.000054695778,0.0021262837],"genre_scores_gemma":[0.99493265,0.00018251626,0.00028324977,0.0026743913,0.00004609472,0.00004392819,0.0000025538832,0.000017504832,0.0018170989],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973423,0.00043948297,0.00033376148,0.0008512824,0.0004963289,0.00053684186],"domain_scores_gemma":[0.99919873,0.000118852535,0.000093060065,0.0005079114,0.000024948027,0.000056509834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038244584,0.00018089736,0.00018586141,0.00023467255,0.0002713908,0.00019611286,0.0005542438,0.000053363667,0.0000071600202],"category_scores_gemma":[0.00086863874,0.00014729236,0.00007719667,0.0025376,0.0003089111,0.00035631264,0.00011869967,0.0004657585,0.000010771424],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014583806,0.00025560817,0.008938495,0.000014745743,3.6585067e-7,0.0016409627,0.00026754977,0.0014101651,0.9827253,0.0013888606,0.0011752069,0.0021681362],"study_design_scores_gemma":[0.0016152937,0.00044869038,0.09742924,0.00010865365,0.00002289535,0.0015989186,0.0010474547,0.471547,0.37553924,0.013596115,0.035924606,0.0011219016],"about_ca_topic_score_codex":0.000023309523,"about_ca_topic_score_gemma":0.000038345264,"teacher_disagreement_score":0.6071861,"about_ca_system_score_codex":0.000090516616,"about_ca_system_score_gemma":0.00012359717,"threshold_uncertainty_score":0.60064083},"labels":[],"label_agreement":null},{"id":"W4226251484","doi":"10.1007/978-981-16-8826-3_19","title":"Rotational Opponent Motion Detection Impact in Biological Motion Perception","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Motion (physics); Perception; Computer vision; Artificial intelligence; Biological motion; Computer science; Psychology; Neuroscience","score_opus":0.03657192151308411,"score_gpt":0.2522630001117501,"score_spread":0.21569107859866601,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226251484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60548383,0.002594994,0.36741987,0.0004318661,0.010272048,0.0049259253,0.00018553727,0.0003144795,0.008371419],"genre_scores_gemma":[0.99787056,0.00081536727,0.000005938924,0.00011152386,0.0005077467,0.00006568903,0.00017296323,0.000033564927,0.00041665812],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980489,0.00025116382,0.00046164705,0.00067524,0.00029871156,0.00026433158],"domain_scores_gemma":[0.99917746,0.00034094483,0.00024360101,0.00015642428,0.000024851182,0.00005675057],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040155387,0.00031934172,0.0003599819,0.0003191738,0.00016536222,0.00009944226,0.0000915006,0.00048920634,0.00017369489],"category_scores_gemma":[0.00011492975,0.0002620084,0.000116672745,0.00014528634,0.000054904413,0.00012253842,0.00005883393,0.0008662808,0.00000425919],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018629493,0.000043038446,0.0011445261,0.000046219382,0.000007721552,0.000038833427,0.00008191538,0.8601808,0.012401327,0.0038265602,0.000008930981,0.122033834],"study_design_scores_gemma":[0.00048560332,0.0004219768,0.011309054,0.00018040216,0.000012002329,0.00017684381,0.0000062040986,0.9791348,0.000026153131,0.0069267186,0.00087342766,0.00044684578],"about_ca_topic_score_codex":0.00019322062,"about_ca_topic_score_gemma":0.00017611541,"teacher_disagreement_score":0.3923867,"about_ca_system_score_codex":0.0005025689,"about_ca_system_score_gemma":0.000013907027,"threshold_uncertainty_score":0.9999832},"labels":[],"label_agreement":null},{"id":"W4226281036","doi":"10.1523/eneuro.0280-21.2021","title":"Measuring Stimulus-Evoked Neurophysiological Differentiation in Distinct Populations of Neurons in Mouse Visual Cortex","year":2022,"lang":"en","type":"article","venue":"eNeuro","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"Natural Sciences and Engineering Research Council of Canada; Tiny Blue Dot Foundation","keywords":"Neuroscience; Stimulus (psychology); Neurophysiology; Psychology; Calcium imaging; Visual cortex; Excitatory postsynaptic potential; Biology; Inhibitory postsynaptic potential; Cognitive psychology; Medicine","score_opus":0.06304273682097723,"score_gpt":0.27341985984232203,"score_spread":0.21037712302134481,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226281036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99894637,0.000002129236,0.00005866414,0.00012817491,0.00044990753,0.00022580878,0.00003132673,0.00004606675,0.00011152499],"genre_scores_gemma":[0.9995176,0.0000035843473,0.0000065637914,0.00020247702,0.000019769484,0.00003574428,0.000018240631,0.000018730247,0.0001772819],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99820566,0.0005051341,0.00033671147,0.00042013158,0.0003124035,0.00021995943],"domain_scores_gemma":[0.99941635,0.00023695019,0.00012471876,0.00017157439,0.000011145969,0.000039264014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009123884,0.00012479909,0.00017775263,0.00022422423,0.00014199023,0.000016604958,0.00018854342,0.000022616801,0.000066421264],"category_scores_gemma":[0.00058798457,0.00012510386,0.00005842268,0.0005650331,0.000040473184,0.000098457014,0.00022481426,0.00033998408,0.000003357447],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000092479604,0.0003590087,0.026096616,0.000006453653,3.7641198e-7,0.000039009432,0.000036792026,0.024057282,0.9482693,0.0006051917,0.0000063328303,0.00043116574],"study_design_scores_gemma":[0.00042987213,0.0002847337,0.8537072,0.0000029347523,0.0000027193903,0.0000063254665,0.000008890335,0.13304009,0.011941112,0.0004354165,0.000027243437,0.00011348548],"about_ca_topic_score_codex":0.000061276056,"about_ca_topic_score_gemma":0.000064911066,"teacher_disagreement_score":0.9363282,"about_ca_system_score_codex":0.00005325471,"about_ca_system_score_gemma":0.00001539617,"threshold_uncertainty_score":0.5101587},"labels":[],"label_agreement":null},{"id":"W4226338412","doi":"10.1007/978-3-030-89439-9_3","title":"A User’s Guide to Generalized Integrate-and-Fire Models","year":2021,"lang":"en","type":"article","venue":"Advances in experimental medicine and biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"General Dynamics (Canada); University of Ottawa","funders":"","keywords":"Intuition; Computer science; Extensibility; Adaptation (eye); Artificial intelligence; Theoretical computer science; Cognitive science; Human–computer interaction; Programming language; Neuroscience","score_opus":0.0503890732652648,"score_gpt":0.37461668381417673,"score_spread":0.3242276105489119,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226338412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9848027,0.009140106,0.00037912538,0.002615586,0.00055109826,0.00012449888,0.000003917784,0.000020423091,0.0023624974],"genre_scores_gemma":[0.9862882,0.0047190734,0.0007018923,0.007792015,0.000080698934,0.000029599632,0.0000075104476,0.0000064932547,0.00037455535],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991382,0.00007544126,0.00018315432,0.00038739934,0.00004816182,0.00016766143],"domain_scores_gemma":[0.99969304,0.00009934234,0.000029208388,0.00009378193,0.000012689124,0.00007191452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000058282352,0.0001107155,0.00019573761,0.0000503949,0.000052327825,0.0000068350764,0.00006104109,0.00004203271,0.000034377925],"category_scores_gemma":[0.00013288538,0.00007657119,0.000013163511,0.00015950626,0.00017098812,0.00014003333,0.0001003231,0.000075389755,0.0000017903117],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053020372,0.000029233266,0.0003064659,0.0000041158733,0.0000010740096,0.000025858793,0.00023417942,0.00002179901,0.95541924,0.027347844,0.00016346254,0.016393682],"study_design_scores_gemma":[0.0026578535,0.0016793926,0.0001319007,0.00012475158,0.0000075424405,0.00027925958,0.002604153,0.010798403,0.8046123,0.017305868,0.15942103,0.0003775853],"about_ca_topic_score_codex":0.00007502585,"about_ca_topic_score_gemma":0.000046557787,"teacher_disagreement_score":0.15925756,"about_ca_system_score_codex":0.00002060235,"about_ca_system_score_gemma":0.000009082426,"threshold_uncertainty_score":0.31224823},"labels":[],"label_agreement":null},{"id":"W4226369264","doi":"10.3389/fevo.2021.802300","title":"Why Can the Brain (and Not a Computer) Make Sense of the Liar Paradox?","year":2021,"lang":"en","type":"article","venue":"Frontiers in Ecology and Evolution","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Agència de Gestió d'Ajuts Universitaris i de Recerca; Ministerio de Economía y Competitividad; Austrian Science Fund; Santa Fe Institute","keywords":"Negation; Representation (politics); Computer science; Self-reference; Cognitive science; Contrast (vision); Sense (electronics); Cognitive psychology; Psychology; Epistemology; Artificial intelligence; Philosophy","score_opus":0.008778973302656066,"score_gpt":0.20012274635092736,"score_spread":0.1913437730482713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226369264","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9785338,0.00007592553,0.0015038276,0.018085554,0.0016098584,0.000119769546,0.000010254305,0.0000066496686,0.000054358108],"genre_scores_gemma":[0.9926834,0.0000787951,0.00019090413,0.0067862887,0.000033154254,0.000004808847,0.0000010547803,0.0000034149537,0.00021818596],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921536,0.0002817042,0.000116746334,0.00019477468,0.000061794344,0.00012963101],"domain_scores_gemma":[0.9996168,0.00016648202,0.000058296126,0.00012531197,0.0000152362745,0.000017899521],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015731735,0.00006074129,0.00010381861,0.00003323199,0.00016781442,0.000010794089,0.0000564765,0.00006827811,0.0000016630462],"category_scores_gemma":[0.00019648328,0.000040143124,0.000024932562,0.00016545212,0.00027046775,0.000031614454,0.000082646984,0.00014267747,2.786461e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025770455,0.00015444233,0.8205742,0.0000762624,0.000026889044,0.00006971935,0.0012289414,0.001482067,0.081778854,0.021314638,0.061011106,0.012025169],"study_design_scores_gemma":[0.0004152958,0.00007632999,0.9222189,0.000012167511,0.000010841206,0.00012487466,0.000120557626,0.06549216,0.0022444057,0.0065930453,0.0026199084,0.00007147806],"about_ca_topic_score_codex":0.00003479992,"about_ca_topic_score_gemma":0.000710834,"teacher_disagreement_score":0.10164473,"about_ca_system_score_codex":0.000032114134,"about_ca_system_score_gemma":0.000027836944,"threshold_uncertainty_score":0.16369891},"labels":[],"label_agreement":null},{"id":"W4226382742","doi":"10.1007/s10827-022-00825-9","title":"Exact mean-field models for spiking neural networks with adaptation","year":2022,"lang":"en","type":"article","venue":"Journal of Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Moment closure; Artificial neural network; Ansatz; Statistical physics; Bursting; Mean field theory; Spike (software development); Computer science; Physics; Artificial intelligence; Neuroscience","score_opus":0.04896618141639022,"score_gpt":0.2678971265825815,"score_spread":0.2189309451661913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226382742","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26800656,0.000012106819,0.7294832,0.001162121,0.001074653,0.00017736126,0.0000070593615,0.000016907172,0.000060054186],"genre_scores_gemma":[0.9926207,0.0000049360965,0.002316795,0.0048754322,0.000120773526,0.000011141548,0.0000014955168,0.000014795405,0.00003390596],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981613,0.000093559865,0.00036483505,0.0002728226,0.0008824701,0.00022502283],"domain_scores_gemma":[0.9983268,0.0008202609,0.000524505,0.00008135196,0.00016176834,0.000085318265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039102667,0.00011804294,0.0001511835,0.00018695352,0.00062510814,0.00011940823,0.00036446657,0.000015891937,0.000011296889],"category_scores_gemma":[0.00020371968,0.00009810995,0.000096492,0.00054100715,0.00008075215,0.000748805,0.00007195687,0.00031536934,1.4784956e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002748269,0.00005939929,0.000024704064,0.000003441923,9.782232e-7,0.000029591814,0.00007935679,0.976709,0.010415692,0.008594053,0.000110749665,0.003698176],"study_design_scores_gemma":[0.0004994087,0.0016689849,0.0002462841,0.0000063574134,0.0000084554,0.0007370719,0.00004684507,0.9847187,0.0006162898,0.0110800145,0.00026115592,0.000110449335],"about_ca_topic_score_codex":0.0000018363664,"about_ca_topic_score_gemma":8.83797e-7,"teacher_disagreement_score":0.72716635,"about_ca_system_score_codex":0.000055595614,"about_ca_system_score_gemma":0.00010850333,"threshold_uncertainty_score":0.48078895},"labels":[],"label_agreement":null},{"id":"W4229003285","doi":"10.1101/2022.05.06.490864","title":"Single neurons and networks in the claustrum integrate input from widespread cortical sources","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Clarendon Fund; Biotechnology and Biological Sciences Research Council; European Commission; Natural Sciences and Engineering Research Council of Canada; Wellcome Trust","keywords":"Claustrum; Neuroscience; Efferent; Sensory system; Thalamus; Cortex (anatomy); Biology; Psychology","score_opus":0.02497837682516602,"score_gpt":0.22197333134975772,"score_spread":0.1969949545245917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229003285","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99542344,0.00020566101,0.00045642004,0.0009593721,0.0019913015,0.0005842603,0.00018520607,0.00017793714,0.000016428832],"genre_scores_gemma":[0.9970987,0.00019916591,0.00011500464,0.0020607566,0.00029600816,0.00014660024,6.5531054e-7,0.000077360106,0.0000057739444],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99647576,0.0008201046,0.00048110433,0.001244872,0.00043465634,0.00054350315],"domain_scores_gemma":[0.99763894,0.00093818543,0.00028837807,0.00094081514,0.000046615314,0.00014706643],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.000532611,0.0004630251,0.00041126102,0.00018276644,0.00036432114,0.00054435874,0.0008088631,0.0002924026,0.000064623506],"category_scores_gemma":[0.0008571702,0.00038696371,0.00010279389,0.00061861944,0.00027863987,0.00014765287,0.0009575699,0.0023409578,0.000008201055],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008891612,0.00025433188,0.015851984,0.000040384824,0.000017495267,0.00026247272,0.000040008243,0.0014073453,0.9800611,0.0017033517,0.0002556032,0.000016970127],"study_design_scores_gemma":[0.0017326734,0.0008019981,0.6479123,0.000595943,0.0003081564,5.5295936e-7,0.00008651199,0.14009155,0.18222041,0.00017831067,0.02311932,0.00295223],"about_ca_topic_score_codex":0.00019505598,"about_ca_topic_score_gemma":0.000025565758,"teacher_disagreement_score":0.7978407,"about_ca_system_score_codex":0.00013750403,"about_ca_system_score_gemma":0.00011530264,"threshold_uncertainty_score":0.99996066},"labels":[],"label_agreement":null},{"id":"W4229014080","doi":"10.1002/hipo.23420","title":"Tonic excitation of nucleus reuniens decreases prefrontal‐hippocampal coordination during slow‐wave states","year":2022,"lang":"en","type":"article","venue":"Hippocampus","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tonic (physiology); Optogenetics; Neuroscience; Prefrontal cortex; Stimulation; Hippocampal formation; Chemistry; Thalamus; Psychology; Cognition","score_opus":0.019743283762002448,"score_gpt":0.23268518076359676,"score_spread":0.21294189700159433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229014080","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974427,0.000046128596,0.00015981597,0.00020899392,0.0007075363,0.00035657754,0.00009318884,0.000118971686,0.0008660875],"genre_scores_gemma":[0.9984709,0.000032125183,0.00014923139,0.00021220205,0.00004459332,0.00006780163,0.000068066525,0.000032202162,0.0009228885],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99811834,0.00026606413,0.00034731178,0.00045970597,0.00049540884,0.00031316385],"domain_scores_gemma":[0.9990332,0.00025543326,0.00027218333,0.0002892081,0.0000615409,0.0000884082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021403843,0.00016995416,0.00019075445,0.00020280993,0.00050159806,0.00004183892,0.00019864397,0.000040046954,0.00027794318],"category_scores_gemma":[0.0003275691,0.00018073937,0.00009393296,0.00047903956,0.00009548881,0.00028365615,0.00018328358,0.00021096026,0.000015677047],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030709448,0.00026283428,0.00078011036,0.00006286094,0.000010426207,0.00005421135,0.00081632845,0.0030269767,0.98258984,0.002983708,0.00036327014,0.008742319],"study_design_scores_gemma":[0.0074892975,0.0042020124,0.17624097,0.0001582213,0.00018471663,0.001129065,0.0052098515,0.17888066,0.4757824,0.1419396,0.006674714,0.0021084927],"about_ca_topic_score_codex":0.000054884527,"about_ca_topic_score_gemma":0.000016877955,"teacher_disagreement_score":0.50680745,"about_ca_system_score_codex":0.00021668336,"about_ca_system_score_gemma":0.00005775759,"threshold_uncertainty_score":0.7370338},"labels":[],"label_agreement":null},{"id":"W4229018528","doi":"10.1093/cercor/bhac177","title":"Temporal irreversibility of neural dynamics as a signature of consciousness","year":2022,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica; Consejo Nacional de Investigaciones Científicas y Técnicas","keywords":"Wakefulness; Electrocorticography; Psychology; Electroencephalography; Consciousness; Neuroscience; Neural correlates of consciousness; Arrow of time; Neurophysiology; Perception; Cognitive psychology; Artificial intelligence; Computer science; Cognition; Physics","score_opus":0.015657462817920586,"score_gpt":0.24440045659404086,"score_spread":0.22874299377612028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229018528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967925,0.000018159177,0.0000388519,0.00030639308,0.0008565352,0.0002886796,0.00027006204,0.000043280594,0.0013855404],"genre_scores_gemma":[0.9985602,0.0000015712453,0.000024920242,0.0004542076,0.000019114526,0.000008886163,0.000036652997,0.000015533798,0.0008789083],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99840194,0.00019814874,0.00033747882,0.0004139969,0.00043438774,0.00021406848],"domain_scores_gemma":[0.9990889,0.00015511453,0.00028951312,0.0003418185,0.000060076203,0.000064613836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017851724,0.00014115367,0.00026551745,0.00009657462,0.00017797388,0.000010658021,0.00036926667,0.000052692987,0.0005334483],"category_scores_gemma":[0.00018659918,0.00013560207,0.00015099424,0.00051701366,0.00022139876,0.00012591804,0.00029546345,0.00035829563,0.00000390464],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010504231,0.0008244355,0.079066806,0.0002436875,0.000025237208,0.000100781304,0.0004962237,0.0016574156,0.8660049,0.041930716,0.0014729988,0.007126402],"study_design_scores_gemma":[0.0057221227,0.0060554924,0.17820986,0.00005911749,0.00017928238,0.00061976066,0.0032696167,0.6248512,0.1320832,0.044610642,0.0025068203,0.001832831],"about_ca_topic_score_codex":0.00017052516,"about_ca_topic_score_gemma":0.000053159092,"teacher_disagreement_score":0.73392165,"about_ca_system_score_codex":0.000089758534,"about_ca_system_score_gemma":0.00008974723,"threshold_uncertainty_score":0.58408844},"labels":[],"label_agreement":null},{"id":"W4229373330","doi":"10.3389/fncir.2022.897273","title":"Editorial: The Neuroethology of Social Behavior","year":2022,"lang":"en","type":"editorial","venue":"Frontiers in Neural Circuits","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Neuroethology; Neuroscience; Psychology; Cognitive science; Cognitive psychology; Sensory system","score_opus":0.01815044744369524,"score_gpt":0.26861492469271664,"score_spread":0.2504644772490214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229373330","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0048477156,0.000065898144,0.000014070496,0.0002640548,0.99300563,0.0006799893,0.0005289668,0.000069930364,0.00052376435],"genre_scores_gemma":[0.022883346,0.00008247223,0.0000045814313,0.00022146598,0.97534895,0.00026851275,0.00012077441,0.00009895225,0.00097096787],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99515456,0.0010658333,0.00069006655,0.00094823365,0.0015574188,0.0005838975],"domain_scores_gemma":[0.9976505,0.0010884876,0.0006082798,0.00049861067,0.000096732656,0.000057383048],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00051327737,0.00041497633,0.0007161371,0.00033653938,0.0004573262,0.000067072375,0.0013951991,0.00065500906,0.000089578825],"category_scores_gemma":[0.002461783,0.00035161118,0.00030138038,0.00075776794,0.00047648913,0.00015592396,0.0003883748,0.002962267,0.000004306527],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006016882,0.00009425306,0.00011072007,0.000038787875,0.0000047437284,0.00006482436,0.00015715645,0.000032409735,0.0054844692,0.000072623974,0.9894321,0.004447734],"study_design_scores_gemma":[0.00061251054,0.00031194807,0.00031509477,0.000006600396,0.00006691464,0.000009160213,0.00006746388,0.00019701483,0.00022041392,0.00033045764,0.9975268,0.00033558582],"about_ca_topic_score_codex":0.000035191457,"about_ca_topic_score_gemma":0.000009203827,"teacher_disagreement_score":0.01803563,"about_ca_system_score_codex":0.00020109155,"about_ca_system_score_gemma":0.0001947324,"threshold_uncertainty_score":0.9998936},"labels":[],"label_agreement":null},{"id":"W4229825233","doi":"10.3410/f.1148873.605960","title":"Faculty Opinions recommendation of Conditional bursting enhances resonant firing in neocortical layer 2-3 pyramidal neurons.","year":2009,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Bursting; Layer (electronics); Neocortex; Neuroscience; Pyramidal cell; Psychology; Materials science; Hippocampus; Nanotechnology","score_opus":0.05042504810133884,"score_gpt":0.35919561903990344,"score_spread":0.3087705709385646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229825233","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000020354037,0.00019066657,0.000047148584,0.15131257,0.00089490373,0.000959551,0.8464915,0.000034711076,0.000048563583],"genre_scores_gemma":[0.00038908428,0.00023485735,0.00018212052,0.009164748,0.00028741724,0.00012965806,0.98924375,0.000021402378,0.00034693844],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99472195,0.0006133739,0.0017460892,0.0009087993,0.0015564957,0.00045327705],"domain_scores_gemma":[0.99527735,0.00047371548,0.0013224343,0.00084760034,0.001855547,0.00022334469],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010133045,0.0004858522,0.00080096733,0.00043298272,0.00026753722,0.0001569692,0.0012354173,0.0005016027,0.00023553259],"category_scores_gemma":[0.017097628,0.00033297105,0.00044489247,0.00217165,0.0004165603,0.0004697418,0.00037789278,0.0014170657,0.000029301998],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020777616,0.00037177993,0.0000060599236,0.0016673881,0.000012591692,0.0000015531647,0.000028446688,0.0000015680578,0.00019335856,0.00080472854,0.99176043,0.0051312884],"study_design_scores_gemma":[0.000491268,0.00015665854,0.004160782,0.005614059,0.000050043654,0.000060419454,0.0000075522485,0.00028566387,0.00027019682,0.00021148096,0.9883812,0.0003106515],"about_ca_topic_score_codex":0.00003193528,"about_ca_topic_score_gemma":0.000010832871,"teacher_disagreement_score":0.14275225,"about_ca_system_score_codex":0.00012583111,"about_ca_system_score_gemma":0.0003428302,"threshold_uncertainty_score":0.99991226},"labels":[],"label_agreement":null},{"id":"W4230580653","doi":"10.31234/osf.io/fjscd","title":"TCDre C","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kingswood University","funders":"","keywords":"Consciousness; Cognitive science; Nothing; Electromagnetic theories of consciousness; Psychology; Computer science; Epistemology; Cognitive psychology; Artificial intelligence; Neuroscience; Philosophy","score_opus":0.0749868311319897,"score_gpt":0.27949620862618907,"score_spread":0.20450937749419937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230580653","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4353863,0.000025274514,0.009509987,0.04440676,0.008866818,0.0009704945,0.000120146586,0.0014658256,0.4992484],"genre_scores_gemma":[0.9882151,0.00003211843,0.00015215368,0.0072460626,0.00021404964,0.000010548921,0.000009235732,0.000016066377,0.00410469],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99913114,0.000031928303,0.000106330896,0.00047161675,0.00015082001,0.00010813855],"domain_scores_gemma":[0.999633,0.000052116528,0.000029013028,0.00021603279,0.0000091995435,0.00006064769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000022856982,0.00011558473,0.000114057075,0.000026288857,0.000039218165,0.00007775657,0.0002272113,0.000092072485,0.00028806442],"category_scores_gemma":[0.00019167933,0.00009519265,0.00007937389,0.000068434514,0.000022494934,0.000026324655,0.0005817727,0.00038589016,0.00042208866],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018963723,0.000034262262,0.000053437383,0.00009551511,0.000003865158,0.00007601254,0.000045002376,0.00032857357,0.9024316,0.06627213,0.024598703,0.0060419533],"study_design_scores_gemma":[0.00036344974,0.000168288,0.0011665539,0.000066265035,0.000030974476,0.000035048375,0.000018579522,0.16307352,0.53152055,0.19303055,0.109449685,0.0010765154],"about_ca_topic_score_codex":0.0000112347925,"about_ca_topic_score_gemma":0.0000021042083,"teacher_disagreement_score":0.5528288,"about_ca_system_score_codex":0.000014869821,"about_ca_system_score_gemma":0.000027294016,"threshold_uncertainty_score":0.5425236},"labels":[],"label_agreement":null},{"id":"W4230767030","doi":"10.21203/rs.3.rs-244360/v1","title":"Oscillatory Visual Mechanisms Revealed by Random Temporal Sampling","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stimulus (psychology); Pattern recognition (psychology); Artificial intelligence; Perception; Computer science; Visual perception; Cognition; Spectral density; Psychology; Cognitive psychology; Neuroscience","score_opus":0.10272554972728587,"score_gpt":0.4016769565046007,"score_spread":0.29895140677731485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230767030","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97840166,0.00067770435,0.013287494,0.0012420305,0.0021881568,0.0022205038,0.00034092675,0.00031562085,0.0013258944],"genre_scores_gemma":[0.9946263,0.00048710295,0.00038118905,0.0002326904,0.0003022957,0.0002046188,0.00028527214,0.00009019582,0.003390349],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9930776,0.0016701202,0.0004951006,0.0016096529,0.0021844488,0.0009631098],"domain_scores_gemma":[0.99707067,0.0012328535,0.00016913022,0.0007907903,0.00040555195,0.0003309896],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0023193536,0.00037839287,0.0005556487,0.00038808002,0.0006432777,0.0007523984,0.0006688724,0.00047531934,0.00034918397],"category_scores_gemma":[0.002787091,0.0003565895,0.00031862923,0.0006857849,0.00020003687,0.00016686477,0.0019266661,0.00262251,0.00009082241],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035030313,0.0002740486,0.00043590498,0.0009005513,0.000023163406,0.00022913633,0.00016609886,0.00032603167,0.9874633,0.0018412968,0.0047035515,0.003286624],"study_design_scores_gemma":[0.016406316,0.0037742788,0.0048691095,0.008656041,0.00015270707,0.00024080796,0.003696019,0.18028018,0.61204135,0.101227656,0.061296303,0.007359249],"about_ca_topic_score_codex":0.00019737765,"about_ca_topic_score_gemma":0.000026549806,"teacher_disagreement_score":0.37542194,"about_ca_system_score_codex":0.00033951228,"about_ca_system_score_gemma":0.00051118986,"threshold_uncertainty_score":0.9998886},"labels":[],"label_agreement":null},{"id":"W4232210483","doi":"10.31234/osf.io/gd5v7","title":"Non-linear Analysis of Models for Biological Pattern Formation: Application to Ocular Dominance Stripes","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pattern formation; Ocular dominance; Property (philosophy); Statistical physics; Computation; Linearization; Visual cortex; Mathematics; Neuroscience; Biological system; Physics; Computer science; Nonlinear system; Biology; Algorithm","score_opus":0.05748639094951167,"score_gpt":0.29766148235318585,"score_spread":0.24017509140367418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232210483","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33654183,0.0000070378837,0.6621569,0.00025849757,0.00010768464,0.0006480439,0.00013771694,0.00002220836,0.00012011192],"genre_scores_gemma":[0.99497986,0.00006998155,0.0033721554,0.0007004488,0.000047627935,0.00035309265,0.00037128234,0.000008866243,0.00009668699],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99853486,0.000036406764,0.00043408136,0.00063686346,0.00019846775,0.00015933177],"domain_scores_gemma":[0.9989292,0.0001224487,0.00025740938,0.00047106502,0.00016850229,0.000051376155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016857145,0.00017169431,0.00044829596,0.0002097443,0.000060812097,0.000049501927,0.0002876905,0.00017344629,0.00001768892],"category_scores_gemma":[0.00008899132,0.00013965036,0.00033541356,0.0005837436,0.000026091699,0.000115654635,0.0002854118,0.00012770438,0.0000026771902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006627453,0.00014930948,0.00018986418,0.00018644329,0.000097703,0.0000017445581,0.00014911895,0.7347745,0.23536861,0.0021455586,0.00009796205,0.02677297],"study_design_scores_gemma":[0.00010696154,0.000055150897,0.00041149076,0.000017018408,0.00012352348,6.225941e-7,0.000020267133,0.9298586,0.06826588,0.00083704514,0.0001507002,0.00015269982],"about_ca_topic_score_codex":0.00005024598,"about_ca_topic_score_gemma":0.00004216664,"teacher_disagreement_score":0.65878475,"about_ca_system_score_codex":0.000038464845,"about_ca_system_score_gemma":0.000024156241,"threshold_uncertainty_score":0.5694777},"labels":[],"label_agreement":null},{"id":"W4232409208","doi":"10.2139/ssrn.3929658","title":"Parallel Computations in an Active Dendritic Arbor During Natural Patterns of Activity","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Natural (archaeology); Computer science; Geography; Archaeology","score_opus":0.013391395981557107,"score_gpt":0.263315648286942,"score_spread":0.24992425230538487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232409208","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973736,0.000054183813,0.00187359,0.00031275424,0.00027391445,0.00006468829,0.0000064218116,0.000012532898,0.000028324408],"genre_scores_gemma":[0.9993785,0.00026906378,0.000026127436,0.00005901994,0.000062639825,0.0000026040027,0.0000023243235,0.000011804781,0.0001879032],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998356,0.00020348752,0.00017615246,0.00022739451,0.00020019921,0.0008368113],"domain_scores_gemma":[0.99957335,0.00009998232,0.00011781662,0.00010283854,0.00005837064,0.00004764339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016298358,0.000098092976,0.00014163257,0.000107607375,0.00013690023,0.00004003084,0.00012984537,0.000035674417,0.000010684588],"category_scores_gemma":[0.00012012233,0.00009504709,0.00006905961,0.00023270505,0.000024648692,0.00040521903,0.00003360238,0.0012756229,0.0000018656765],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001525827,0.0002997911,0.005746762,0.000015566118,0.000016180682,0.00008438024,0.00016078919,0.001989224,0.9649872,0.01735265,3.1708473e-7,0.009194533],"study_design_scores_gemma":[0.003429484,0.0006539251,0.50556505,0.000114468414,0.00003845394,0.003134989,0.0017599169,0.03333685,0.36991385,0.081507646,0.000008303874,0.0005370784],"about_ca_topic_score_codex":0.000023683988,"about_ca_topic_score_gemma":0.002301005,"teacher_disagreement_score":0.59507334,"about_ca_system_score_codex":0.0003905273,"about_ca_system_score_gemma":0.0005144071,"threshold_uncertainty_score":0.5542018},"labels":[],"label_agreement":null},{"id":"W4233334260","doi":"10.22215/etd/2008-08386","title":"On the search for the neural correlates of unified consciousness","year":2008,"lang":"en","type":"dissertation","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Library and Archives Canada","funders":"","keywords":"Consciousness; Psychology; Humanities; Computer science; Art; Neuroscience","score_opus":0.04384970356023381,"score_gpt":0.28735494059431266,"score_spread":0.24350523703407884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233334260","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98684174,0.000025386702,0.00006204971,0.0010392311,0.0022980697,0.0010583359,0.000042413638,0.000035024812,0.008597757],"genre_scores_gemma":[0.9655446,0.00011045833,0.0000016974285,0.00062606524,0.000041286527,0.000058336365,0.000051706887,0.00002386148,0.03354201],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989342,0.00008878271,0.00020616534,0.00027753387,0.0003120064,0.00018127708],"domain_scores_gemma":[0.99470836,0.0047380016,0.00013245076,0.0002983835,0.00010138254,0.000021415472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015014336,0.0001597026,0.00015611637,0.00005830022,0.00042157923,0.000038436294,0.00039213517,0.00010814451,0.0000814283],"category_scores_gemma":[0.0004184837,0.00007323917,0.00013924796,0.00020579853,0.00013618958,0.00003275348,0.00001714031,0.0003175123,0.000013933681],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019973922,0.00023865757,0.00015498149,0.00021861016,0.000053317803,0.000012150851,0.001465252,0.0038502135,0.2421804,0.7193104,0.018324712,0.012193929],"study_design_scores_gemma":[0.0012088887,0.0012761517,0.0065048747,0.00015540385,0.00013468157,0.000045669705,0.0030849627,0.320194,0.6557987,0.008708753,0.0021198012,0.000768131],"about_ca_topic_score_codex":0.00004865131,"about_ca_topic_score_gemma":0.000078073885,"teacher_disagreement_score":0.7106016,"about_ca_system_score_codex":0.000012224859,"about_ca_system_score_gemma":0.00005780863,"threshold_uncertainty_score":0.3242489},"labels":[],"label_agreement":null},{"id":"W4233540220","doi":"10.1101/259713","title":"Neurocognitive Aging and Brain Signal Complexity","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"","keywords":"Neurocognitive; Cognition; Balance (ability); Neuroscience; Psychology; Cognitive aging; Perspective (graphical); Cognitive psychology; Neuroimaging; Computer science; Cognitive science; Artificial intelligence","score_opus":0.036996629267431226,"score_gpt":0.2455244632531166,"score_spread":0.2085278339856854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233540220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940814,0.00006686114,0.0017822781,0.0011301285,0.0013549108,0.00072540034,0.00034593666,0.00045882506,0.000054286345],"genre_scores_gemma":[0.9953264,0.00006475521,0.00063692796,0.003132819,0.00065223867,0.00006632673,2.377326e-7,0.00010780886,0.000012514962],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9966759,0.00034344156,0.00040324757,0.0015667012,0.0004237406,0.00058694294],"domain_scores_gemma":[0.9980906,0.00034963046,0.00036642049,0.0006527272,0.0002525989,0.00028802734],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00043764204,0.0005487815,0.00045527556,0.000247599,0.000410096,0.00044162973,0.00044566308,0.00029646428,0.00007663693],"category_scores_gemma":[0.0006984982,0.0005797154,0.00011643295,0.00039565118,0.00058650796,0.0002257102,0.0009513732,0.00090004236,0.00008266391],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031074374,0.0000666265,0.0009674337,0.00014656667,0.000015913192,0.0000846979,0.0000073121064,0.0000070677797,0.99666137,0.001609719,0.0003956716,0.0000065623535],"study_design_scores_gemma":[0.0007815997,0.00022872376,0.10165775,0.0004177876,0.000084371364,2.1941928e-7,0.0000022771892,0.012549467,0.87841105,0.0001779198,0.004273505,0.0014152966],"about_ca_topic_score_codex":0.0000284448,"about_ca_topic_score_gemma":0.000002312054,"teacher_disagreement_score":0.11825027,"about_ca_system_score_codex":0.00010113489,"about_ca_system_score_gemma":0.00017758906,"threshold_uncertainty_score":0.99966544},"labels":[],"label_agreement":null},{"id":"W4234712707","doi":"10.3410/f.13409025.14779152","title":"Faculty Opinions recommendation of Ionic mechanisms of endogenous bursting in CA3 hippocampal pyramidal neurons: a model study.","year":2011,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Bursting; Hippocampal formation; Neuroscience; Endogeny; Hippocampus; Psychology; Chemistry; Computer science; Biochemistry","score_opus":0.0913047477831823,"score_gpt":0.3408826527200916,"score_spread":0.2495779049369093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234712707","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000049957707,0.00012316782,0.00015275845,0.01937613,0.0010187037,0.0024769546,0.976721,0.000036739155,0.00004461545],"genre_scores_gemma":[0.0023199024,0.00016147879,0.00030808672,0.001901918,0.000080083504,0.0002522139,0.99477917,0.00003574591,0.00016137479],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99400246,0.00085780444,0.0021853393,0.000973718,0.0015341415,0.00044652418],"domain_scores_gemma":[0.99378693,0.0002748683,0.0022612957,0.0014054106,0.002064297,0.00020717121],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015749672,0.0005666562,0.0011192674,0.0006116695,0.0002199162,0.000079276564,0.0018334399,0.00050136005,0.00011981313],"category_scores_gemma":[0.0098860385,0.00039507396,0.0005111677,0.0025221808,0.00031979269,0.00037916336,0.00067495817,0.001257339,0.000012520912],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041600473,0.0015856104,0.000005610877,0.0037526619,0.00004037772,0.0000014945458,0.0003065505,0.000010644446,0.00045434776,0.0013363939,0.99110967,0.0013550402],"study_design_scores_gemma":[0.0016465381,0.00088663376,0.00063221174,0.007814548,0.00025639246,0.000114046175,0.000113281974,0.0020936457,0.0005577454,0.00095890375,0.9842597,0.0006663514],"about_ca_topic_score_codex":0.00015384099,"about_ca_topic_score_gemma":0.0000246554,"teacher_disagreement_score":0.018058224,"about_ca_system_score_codex":0.00012659303,"about_ca_system_score_gemma":0.0005271059,"threshold_uncertainty_score":0.9998501},"labels":[],"label_agreement":null},{"id":"W4234774201","doi":"10.1167/13.9.504","title":"Rapid object recognition in the absence of conscious awareness","year":2013,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Contrast (vision); Luminance; Perception; Backward masking; Psychology; Artificial intelligence; Computer vision; Communication; Audiology; Computer science; Neuroscience; Medicine","score_opus":0.03723807856740168,"score_gpt":0.28906056297062055,"score_spread":0.25182248440321886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234774201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99823236,0.000034202632,0.00009909601,0.0007673929,0.00039658978,0.00010540263,0.0000016759494,0.0000026017326,0.00036069672],"genre_scores_gemma":[0.99923456,0.00021275977,0.00006400699,0.00041892618,0.00004974072,0.0000012794923,3.2796834e-7,0.0000035495884,0.000014827444],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989396,0.00016401074,0.0004538761,0.00007899824,0.00027927462,0.00008424471],"domain_scores_gemma":[0.99877524,0.00037219387,0.0006367769,0.00008584231,0.0001075935,0.000022377912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056665245,0.000052656887,0.00012157623,0.0001151614,0.00004533037,0.000035877187,0.00016498785,0.000030221294,0.00006624534],"category_scores_gemma":[0.00075193046,0.000029912111,0.00006292174,0.00022592246,0.00004709994,0.00029546212,0.000015957577,0.00016354659,0.000016864371],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043864722,0.00010665905,0.000813094,0.000012727074,9.694127e-7,0.000019567433,0.00016806586,0.00004388584,0.9216793,0.000040938605,0.0007897614,0.076281175],"study_design_scores_gemma":[0.0026382562,0.0040718634,0.6794262,0.00087679166,0.000022581915,0.0014447591,0.000862421,0.016896017,0.2621574,0.029559715,0.0016758181,0.0003681939],"about_ca_topic_score_codex":0.000028151557,"about_ca_topic_score_gemma":0.000005119791,"teacher_disagreement_score":0.67861307,"about_ca_system_score_codex":0.000015018874,"about_ca_system_score_gemma":0.000029337154,"threshold_uncertainty_score":0.12197805},"labels":[],"label_agreement":null},{"id":"W4235179470","doi":"10.3410/f.732876393.793554138","title":"Faculty Opinions recommendation of Electrophysiological Evidence for the Development of a Self-Sustained Large-Scale Epileptic Network in the Kainate Mouse Model of Temporal Lobe Epilepsy.","year":2018,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Epilepsy; Kainate receptor; Electrophysiology; Neuroscience; Temporal lobe; Psychology; Computer science; Medicine; Internal medicine","score_opus":0.06331370539410885,"score_gpt":0.3560064998450005,"score_spread":0.29269279445089164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235179470","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00008147341,0.00019932922,0.0010095806,0.0503736,0.00034398798,0.0027854333,0.94518304,0.000018843932,0.0000047386534],"genre_scores_gemma":[0.0010157881,0.00033261062,0.0024262497,0.0027095068,0.00015213099,0.00049771636,0.9927016,0.000017998093,0.0001464061],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99500674,0.0008552005,0.0019004428,0.000652511,0.0011364905,0.00044862268],"domain_scores_gemma":[0.9929859,0.001095944,0.0020395226,0.0011676425,0.002615212,0.00009574519],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0032407618,0.00041152813,0.0008248182,0.00017800015,0.00034776138,0.000060255516,0.0021688603,0.00040584727,0.00003521523],"category_scores_gemma":[0.008813718,0.00019940297,0.00049147854,0.001994027,0.00041972767,0.0002480968,0.000454972,0.00074730377,0.00000256671],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010175235,0.00052195444,0.0000051486445,0.003415167,0.00003774619,5.2347602e-8,0.00027557235,0.00001449513,0.00019189484,0.0006447778,0.99439526,0.00039616314],"study_design_scores_gemma":[0.000542947,0.0004337177,0.00054146897,0.0034440435,0.00010970716,0.000004975778,0.00005257171,0.0053732092,0.00021299286,0.00023800439,0.9888143,0.0002320496],"about_ca_topic_score_codex":0.000011013752,"about_ca_topic_score_gemma":0.000015976239,"teacher_disagreement_score":0.04766409,"about_ca_system_score_codex":0.000107948144,"about_ca_system_score_gemma":0.00060263695,"threshold_uncertainty_score":0.99953544},"labels":[],"label_agreement":null},{"id":"W4235179573","doi":"10.3410/f.735707710.793560400","title":"Faculty Opinions recommendation of Asymmetric recruitment and actin-dependent cortical flows drive the neuroblast polarity cycle.","year":2019,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Polarity (international relations); Neuroblast; Actin; Computer science; Cell biology; Psychology; Neuroscience; Business; Biology; Neurogenesis; Genetics; Cell","score_opus":0.06834481083089684,"score_gpt":0.35831338859299816,"score_spread":0.28996857776210133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235179573","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000016095297,0.00017617417,0.000029694645,0.17415203,0.0018052759,0.0024540427,0.82129073,0.000026424077,0.00004952633],"genre_scores_gemma":[0.00023827446,0.0006712298,0.00008020004,0.008344642,0.00020365969,0.00020520043,0.9896389,0.00002743313,0.0005904634],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9941993,0.0012382837,0.0014126009,0.0009901451,0.001749923,0.00040975946],"domain_scores_gemma":[0.9940619,0.0008354461,0.0015141474,0.0015045416,0.0018084018,0.00027559057],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014731467,0.0005386495,0.0008106071,0.00036203518,0.00046376724,0.00025949898,0.0015309344,0.0005305746,0.00015054314],"category_scores_gemma":[0.014680985,0.00030003517,0.00047120402,0.0023122395,0.00039900024,0.00037764164,0.0009227596,0.0018612012,0.000054097705],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023194249,0.00035228903,0.0000059638237,0.0018517557,0.000041671254,4.248093e-7,0.000043333355,5.568743e-7,0.00008272702,0.00044273876,0.9935774,0.003577911],"study_design_scores_gemma":[0.00051985943,0.00025039213,0.0028321126,0.0020752444,0.00015783333,0.00008563824,0.000017705084,0.00024170463,0.000096206466,0.000041310897,0.99339586,0.00028612762],"about_ca_topic_score_codex":0.00005368086,"about_ca_topic_score_gemma":0.000009941772,"teacher_disagreement_score":0.16834816,"about_ca_system_score_codex":0.00012558207,"about_ca_system_score_gemma":0.000275693,"threshold_uncertainty_score":0.99994516},"labels":[],"label_agreement":null},{"id":"W4236043596","doi":"10.31234/osf.io/gykex","title":"Delineating implicit and explicit processes in neurofeedback learning","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fonds De La Recherche Scientifique - FNRS; Universitaire Stichting; Canadian Institute for Advanced Research","keywords":"Neurofeedback; Categorization; Psychology; Cognitive psychology; Psychological intervention; Implicit learning; Neural correlates of consciousness; Computer science; Cognition; Artificial intelligence; Electroencephalography; Neuroscience","score_opus":0.05722897629741797,"score_gpt":0.2872038435288495,"score_spread":0.2299748672314315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236043596","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99180526,0.000049186514,0.0014001518,0.0024627186,0.0002398773,0.00038134874,0.000006237982,0.00021473382,0.0034405196],"genre_scores_gemma":[0.99705595,0.0002988781,0.0002349214,0.0016891606,0.000120984245,0.000040805357,0.0000073523065,0.00003668922,0.00051525974],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99822,0.00009177339,0.00033431815,0.00091202057,0.00018743867,0.00025444754],"domain_scores_gemma":[0.99923766,0.00033425484,0.00015456077,0.00015036184,0.000039026356,0.000084157735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009323007,0.00024762755,0.0002733742,0.00011197503,0.00009936855,0.00019188283,0.00020864116,0.00012812993,0.0000252097],"category_scores_gemma":[0.0019581397,0.00022630257,0.000036984646,0.0003321889,0.000025673646,0.00010892304,0.0008549488,0.0009989854,0.00001654679],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010366043,0.000087608714,0.016207775,0.0020054048,0.0000064029473,0.00014301934,0.0011028149,0.016722828,0.93627626,0.0032946728,0.00022494687,0.02382464],"study_design_scores_gemma":[0.0011365911,0.00048670446,0.009438065,0.00063454174,0.00003594402,0.000103289036,0.00063421426,0.8721418,0.097087696,0.012088479,0.004469321,0.0017433959],"about_ca_topic_score_codex":0.00014216942,"about_ca_topic_score_gemma":0.000059903272,"teacher_disagreement_score":0.8554189,"about_ca_system_score_codex":0.000029191882,"about_ca_system_score_gemma":0.00007353301,"threshold_uncertainty_score":0.9228351},"labels":[],"label_agreement":null},{"id":"W4236209853","doi":"10.1017/s147292880100022x","title":"Corticothalamic operations through prevalent inhibition of thalamocortical neurons","year":2001,"lang":"en","type":"article","venue":"Thalamus & Related Systems","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Neuroscience; Thalamus; Thalamic reticular nucleus; Cortex (anatomy); Neocortex; Reticular connective tissue; Cortical neurons; GABAergic; Electrophysiology; Biology; Inhibitory postsynaptic potential; Anatomy","score_opus":0.034116085782778555,"score_gpt":0.2657888705265213,"score_spread":0.23167278474374273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236209853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9843912,0.000103136816,0.001193308,0.00034569405,0.0016151711,0.00090619497,0.000026095995,0.00021310765,0.011206052],"genre_scores_gemma":[0.99662185,0.00027235324,0.00002048045,0.00010695642,0.00008052204,0.00006482881,0.00002068515,0.000042977877,0.0027693608],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972907,0.00038056396,0.0008587249,0.0005623238,0.0005017478,0.00040594107],"domain_scores_gemma":[0.99890345,0.00019968482,0.0002064932,0.00049597566,0.00009454302,0.00009983721],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020048209,0.0002460939,0.00035101135,0.000120644414,0.00024260879,0.00008257875,0.00018256299,0.00016034253,0.000102564205],"category_scores_gemma":[0.00026777707,0.0002147258,0.00014410542,0.0006621446,0.0001978367,0.00040595655,0.0000703217,0.00034539262,0.00017019174],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000434185,0.0003241991,0.002481473,0.00007784273,0.00001875789,0.0001560429,0.00035424743,0.0119264545,0.92753994,0.056521595,0.00011664801,0.0004393875],"study_design_scores_gemma":[0.0055521983,0.0024839018,0.058095988,0.0012100738,0.0005026143,0.0077026254,0.00066784734,0.536269,0.37457246,0.00699752,0.0038595907,0.0020861535],"about_ca_topic_score_codex":0.00012415805,"about_ca_topic_score_gemma":0.000010652374,"teacher_disagreement_score":0.5529675,"about_ca_system_score_codex":0.00007646143,"about_ca_system_score_gemma":0.00005152666,"threshold_uncertainty_score":0.87562644},"labels":[],"label_agreement":null},{"id":"W4236739887","doi":"10.1017/s1472928802000067","title":"Thalamic short-term plasticity and its impact on the neocortex","year":2002,"lang":"en","type":"article","venue":"Thalamus & Related Systems","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Hyperpolarization (physics); Neuroscience; Neocortex; Thalamus; Depolarization; Inhibitory postsynaptic potential; Midbrain reticular formation; Stimulus (psychology); Chemistry; Biology; Stimulation; Reticular formation; Psychology; Biophysics","score_opus":0.03797749527468126,"score_gpt":0.25528549786552585,"score_spread":0.2173080025908446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236739887","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9859264,0.00019888542,0.0000069541798,0.0002511633,0.0008641351,0.0006577621,0.000025668382,0.00015879367,0.0119102495],"genre_scores_gemma":[0.9969593,0.00015158945,2.0332459e-7,0.000104865736,0.00008677229,0.000027797489,0.0000021006326,0.000033854933,0.0026334757],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99811566,0.00029327525,0.0003345023,0.0004946414,0.00036390746,0.000397999],"domain_scores_gemma":[0.9987643,0.00067281915,0.00012700833,0.0002908443,0.000027772972,0.00011728952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002113537,0.0002743144,0.00025690414,0.00009417125,0.0003260335,0.00016843202,0.00024061723,0.00015532169,0.00015855553],"category_scores_gemma":[0.00018333628,0.00015755363,0.000100556324,0.0003236447,0.00007888937,0.00015527042,0.000056967172,0.00046867484,0.00036701682],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000116498464,0.000317826,0.008901611,0.00010832378,0.00010052658,0.00046055354,0.0011099289,0.0046523223,0.9436755,0.03598292,0.0018620335,0.0027119624],"study_design_scores_gemma":[0.0007253098,0.00084770285,0.05075826,0.00028421104,0.00007135675,0.0016232003,0.000087138935,0.93460816,0.009650563,0.00034296548,0.00035111728,0.0006500118],"about_ca_topic_score_codex":0.000024226432,"about_ca_topic_score_gemma":0.0000015831296,"teacher_disagreement_score":0.93402493,"about_ca_system_score_codex":0.00007112755,"about_ca_system_score_gemma":0.000008506849,"threshold_uncertainty_score":0.642485},"labels":[],"label_agreement":null},{"id":"W4237544780","doi":"10.1101/2021.05.12.443763","title":"How spatial attention affects the decision process: looking through the lens of Bayesian hierarchical diffusion model &amp; EEG analysis","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Science Foundation","keywords":"Bayesian probability; Artificial intelligence; Computer science; Bayesian inference; Cognition; Pattern recognition (psychology); Machine learning; Psychology; Neuroscience","score_opus":0.020576897675990313,"score_gpt":0.24302678624389373,"score_spread":0.22244988856790343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237544780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7274908,0.000091073925,0.269762,0.0012457962,0.0006370984,0.00062115764,0.00007032238,0.00007561349,0.0000061472438],"genre_scores_gemma":[0.9977403,0.00027269073,0.0012457931,0.00034504454,0.0001983357,0.000108585875,0.0000014122979,0.00007614774,0.000011643417],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99597424,0.00051463826,0.00051026273,0.0013740569,0.0011269499,0.0004998672],"domain_scores_gemma":[0.9965861,0.00051395356,0.00074904424,0.0017010042,0.00035003832,0.00009990329],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006119742,0.00053073757,0.000642415,0.00025607785,0.00061721663,0.00068221154,0.0009602588,0.00040375433,0.000017628681],"category_scores_gemma":[0.0011771468,0.00034738606,0.00055550877,0.0016785763,0.0003060675,0.00036162045,0.0008127687,0.0011703025,0.0000033112572],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006649523,0.00017862709,0.0018836716,0.00016183146,0.000120609286,0.000012947346,0.00006067126,0.014460686,0.98211944,0.00088724453,0.0000151605755,0.00003260661],"study_design_scores_gemma":[0.00073006743,0.00010240297,0.089660875,0.0007901707,0.0014715857,1.13208394e-7,0.000026222478,0.7258696,0.17969804,0.00021797995,0.00029819217,0.001134763],"about_ca_topic_score_codex":0.00006813755,"about_ca_topic_score_gemma":0.000078120065,"teacher_disagreement_score":0.8024214,"about_ca_system_score_codex":0.00013245067,"about_ca_system_score_gemma":0.00028329855,"threshold_uncertainty_score":0.99989784},"labels":[],"label_agreement":null},{"id":"W4237819364","doi":"10.3410/f.1022452.254727","title":"Faculty Opinions recommendation of Threshold firing frequency-current relationships of neurons in rat somatosensory cortex: type 1 and type 2 dynamics.","year":2004,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Somatosensory system; Dynamics (music); Neuroscience; Current (fluid); Cortex (anatomy); Type (biology); Psychology; Biology; Engineering; Electrical engineering; Paleontology","score_opus":0.06363015069586168,"score_gpt":0.3440222020687763,"score_spread":0.2803920513729146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237819364","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0001307924,0.00088586396,0.000009357992,0.04037523,0.0018046777,0.001069148,0.9556618,0.000025100575,0.00003807486],"genre_scores_gemma":[0.0010778384,0.0011977487,0.00011861168,0.00078572833,0.00007225873,0.00004006846,0.99653506,0.000023737723,0.00014893197],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962453,0.00046101827,0.0014663732,0.0006787547,0.0008716903,0.00027686596],"domain_scores_gemma":[0.99515355,0.0002970658,0.0013606915,0.0009114452,0.0021122834,0.00016499378],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007657784,0.0003950683,0.00071196794,0.00045970557,0.00019495407,0.00007095618,0.00080195884,0.00042715136,0.00006552219],"category_scores_gemma":[0.010985666,0.00028624496,0.00021302221,0.0028697771,0.00039156756,0.0003512482,0.00033919764,0.0013605852,0.000011922496],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018993982,0.0003175545,0.00009661013,0.0043935273,0.000016206535,5.305779e-7,0.000056270972,0.0000025434401,0.00015051563,0.0028132715,0.99121004,0.00092392217],"study_design_scores_gemma":[0.00054704584,0.00016919713,0.005565456,0.008112827,0.000080999,0.00004427507,0.000013171073,0.00026669566,0.00006333626,0.00044119914,0.9844058,0.00028996146],"about_ca_topic_score_codex":0.000032502165,"about_ca_topic_score_gemma":0.000037529873,"teacher_disagreement_score":0.040873323,"about_ca_system_score_codex":0.00015356015,"about_ca_system_score_gemma":0.0004718443,"threshold_uncertainty_score":0.999959},"labels":[],"label_agreement":null},{"id":"W4238670428","doi":"10.3410/f.1098709.554830","title":"Faculty Opinions recommendation of Spike timing-dependent plasticity: a learning rule for dendritic integration in rat CA1 pyramidal neurons.","year":2007,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Spike (software development); Neuroscience; Plasticity; Neuroplasticity; Psychology; Computer science; Biology; Artificial intelligence; Materials science","score_opus":0.05029953160240123,"score_gpt":0.3548162614507506,"score_spread":0.3045167298483494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238670428","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000018937282,0.00009067838,0.0007436686,0.055562668,0.0018285379,0.0019357951,0.93974745,0.00004443674,0.000027797203],"genre_scores_gemma":[0.00024592975,0.00016216295,0.0003018075,0.0037790376,0.00022751998,0.0002745868,0.9941443,0.000035603167,0.0008290568],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99507076,0.0005549914,0.0017016706,0.0009031844,0.0013028552,0.00046655332],"domain_scores_gemma":[0.9947747,0.0007220771,0.0014274714,0.0006387047,0.002226807,0.00021026986],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013785377,0.000516077,0.0008135083,0.00067036774,0.00030944723,0.00019427207,0.0010701006,0.00059805595,0.000111952766],"category_scores_gemma":[0.024733443,0.00036865543,0.00046825423,0.0018867216,0.00028866215,0.00043369702,0.00033804443,0.0015454288,0.00002087594],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004467057,0.00035360624,0.000004638627,0.0030349663,0.00001384024,8.635632e-7,0.00006203869,0.0000058251712,0.00027909013,0.00042847477,0.9912889,0.004483106],"study_design_scores_gemma":[0.000795637,0.00025365796,0.00034711312,0.005660149,0.00009222715,0.00004939486,0.000028937415,0.00078694127,0.00059954706,0.00005715918,0.9910029,0.00032631322],"about_ca_topic_score_codex":0.000055351917,"about_ca_topic_score_gemma":0.00004188148,"teacher_disagreement_score":0.054396816,"about_ca_system_score_codex":0.00020223399,"about_ca_system_score_gemma":0.00029953377,"threshold_uncertainty_score":0.99987656},"labels":[],"label_agreement":null},{"id":"W4238686471","doi":"10.3410/f.1010000.141107","title":"Faculty Opinions recommendation of Moving visual stimuli rapidly induce direction sensitivity of developing tectal neurons.","year":2002,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Receptive field; Neuroscience; Neuron; Glutamate receptor; Retina; Biological neural network; NMDA receptor; Neural activity; Visual field; Computer science; Biology; Receptor","score_opus":0.05129207432261971,"score_gpt":0.3499078428877065,"score_spread":0.29861576856508676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238686471","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000044063505,0.00013948703,0.00018014862,0.061698392,0.0018276541,0.0011950228,0.93481535,0.00005798671,0.000041927156],"genre_scores_gemma":[0.00057336455,0.0003452664,0.00029354732,0.002849169,0.00022893741,0.00007392916,0.99527913,0.000033254957,0.00032337458],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9940756,0.001328167,0.0017177776,0.00092418503,0.0015665576,0.0003877187],"domain_scores_gemma":[0.99298686,0.00063721184,0.0022920794,0.00090900494,0.0029791142,0.00019573049],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015597143,0.00055933796,0.0009827734,0.0005478874,0.00034760885,0.000115199015,0.0008271553,0.00060982886,0.00013132617],"category_scores_gemma":[0.019458055,0.00040353177,0.00056154205,0.0030556514,0.00040521356,0.0005525877,0.0005512905,0.0012368534,0.000023367007],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018465773,0.00036384293,0.0000043157975,0.003854948,0.000037539277,7.125999e-7,0.00005046929,0.0000013363913,0.000980402,0.00013483276,0.9862073,0.008345829],"study_design_scores_gemma":[0.00043145206,0.00018273597,0.0016847121,0.0058126245,0.000100702346,0.00008787624,0.000011525874,0.0005253526,0.0012926674,0.000014099752,0.9894891,0.00036715044],"about_ca_topic_score_codex":0.000080660735,"about_ca_topic_score_gemma":0.000009060309,"teacher_disagreement_score":0.06046384,"about_ca_system_score_codex":0.00015981504,"about_ca_system_score_gemma":0.000337087,"threshold_uncertainty_score":0.99984163},"labels":[],"label_agreement":null},{"id":"W4239781247","doi":"10.1017/s1472928801000164","title":"Thalamocortical connectivity in a rat brain slice preparation: participation of the ventrobasal complex to synchronous activities","year":2001,"lang":"en","type":"article","venue":"Thalamus & Related Systems","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; McGill University; Montreal Neurological Institute and Hospital","funders":"Fonds de Recherche du Québec - Santé","keywords":"Thalamus; Antidromic; Neuroscience; Cortex (anatomy); Chemistry; Orthodromic; Somatosensory system; Geniculate; Ictal; Cerebral cortex; Electrophysiology; Biology; Electroencephalography; Nucleus","score_opus":0.03435202996208471,"score_gpt":0.2928864335619254,"score_spread":0.2585344035998407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239781247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99372333,0.00001682157,0.00029228933,0.0010339202,0.0009620673,0.0011330392,0.000008152153,0.000071312425,0.002759093],"genre_scores_gemma":[0.9989969,0.0000045586376,0.0000038224457,0.00017269995,0.00005592938,0.00011165667,0.0000035639039,0.000018222741,0.0006326366],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997626,0.00075064844,0.000512355,0.00040201363,0.00037714792,0.00033184318],"domain_scores_gemma":[0.99864405,0.0006144193,0.00023034382,0.00039429098,0.000038235175,0.00007863719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042124826,0.00017010374,0.0002980465,0.00010102487,0.00014894243,0.000060278042,0.00021167204,0.0001137346,0.000035046076],"category_scores_gemma":[0.00054667884,0.0001309237,0.00008372081,0.00074294145,0.000105571155,0.00021624709,0.00007805757,0.00022664665,0.00002850203],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040638447,0.00041033342,0.027739,0.000071907365,0.000018216837,0.00004787824,0.0021275938,0.041988853,0.90923774,0.01682674,0.00034272714,0.00078261143],"study_design_scores_gemma":[0.0031639722,0.001454593,0.31465957,0.00055515685,0.00008339422,0.0007101293,0.00082501234,0.5731467,0.10016647,0.0011396357,0.0032020546,0.0008933533],"about_ca_topic_score_codex":0.00021848943,"about_ca_topic_score_gemma":0.00019835623,"teacher_disagreement_score":0.8090713,"about_ca_system_score_codex":0.00015652261,"about_ca_system_score_gemma":0.000054369313,"threshold_uncertainty_score":0.5338913},"labels":[],"label_agreement":null},{"id":"W4239802080","doi":"10.3410/f.732604736.793560110","title":"Faculty Opinions recommendation of Motor Cortex Embeds Muscle-like Commands in an Untangled Population Response.","year":2019,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"N. Bud Grossman Center for Memory Research and Care; G. Harold and Leila Y. Mathers Foundation; McKnight Foundation; Kavli Foundation; Burroughs Wellcome Fund; Simons Foundation; Helen Hay Whitney Foundation; Searle Scholars Program; Alfred P. Sloan Foundation; Howard Hughes Medical Institute; National Institutes of Health; National Science Foundation","keywords":"Motor cortex; Neuroscience; Robustness (evolution); Population; Cortex (anatomy); Primary motor cortex; Computer science; Biology; Medicine; Stimulation; Gene","score_opus":0.049584588777329394,"score_gpt":0.3616944837892446,"score_spread":0.3121098950119152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239802080","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000154847,0.000088257846,0.000012763935,0.06698091,0.0020165334,0.0019426331,0.9287496,0.000037521368,0.000016896733],"genre_scores_gemma":[0.0006384328,0.00013149096,0.00010497107,0.006738263,0.00015610577,0.00016131515,0.9912048,0.000036738704,0.00082785933],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9936347,0.001624542,0.0018251432,0.0009831061,0.0015329168,0.00039959964],"domain_scores_gemma":[0.99374974,0.000459143,0.0017957368,0.0017348203,0.002014854,0.00024568857],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018497527,0.00055054756,0.00096814206,0.00071852334,0.00022835299,0.00017649635,0.0016051151,0.0007419806,0.00028079806],"category_scores_gemma":[0.007931598,0.0003865172,0.00047289373,0.0027321961,0.0002299998,0.0007276575,0.00041933008,0.0011745367,0.00004188893],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013870608,0.00048471746,0.00003254876,0.0022785328,0.00001557868,5.5328775e-7,0.00006692665,7.427069e-7,0.00046799605,0.00016242765,0.99542737,0.0009238992],"study_design_scores_gemma":[0.00085532264,0.00037568092,0.03618666,0.0043501635,0.000064934735,0.000023742865,0.000018546847,0.00025965954,0.000027334887,0.000031294057,0.9574423,0.0003643605],"about_ca_topic_score_codex":0.0000933912,"about_ca_topic_score_gemma":0.000033994547,"teacher_disagreement_score":0.06245519,"about_ca_system_score_codex":0.00022812391,"about_ca_system_score_gemma":0.0003021468,"threshold_uncertainty_score":0.9998587},"labels":[],"label_agreement":null},{"id":"W4240199872","doi":"10.32920/ryerson.14644236.v1","title":"Musicianship and neural synchronization at multiple timescales","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; McGill University","funders":"","keywords":"Synchronization (alternating current); Electroencephalography; Psychology; Neuroscience; Rhythm; Plasticity; Physics; Acoustics; Mathematics; Topology (electrical circuits)","score_opus":0.03604105721684256,"score_gpt":0.242824280462383,"score_spread":0.20678322324554044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240199872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928414,0.00009730539,0.0023601719,0.00086004456,0.0013087175,0.00029321393,0.000025372341,0.00015338745,0.0020603538],"genre_scores_gemma":[0.994967,0.000115084,0.0001718593,0.0015656111,0.00013230786,0.00001616877,0.00009195045,0.000027356453,0.002912688],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985335,0.00011901106,0.00019623671,0.0007433384,0.0002075237,0.00020042164],"domain_scores_gemma":[0.9992509,0.00023402555,0.000101093945,0.00030077237,0.00003897904,0.0000742672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006372679,0.00021308172,0.00019675655,0.0000641748,0.00017847856,0.00023271122,0.00013568166,0.00017920232,0.00017144946],"category_scores_gemma":[0.00038391154,0.00019174095,0.000071502516,0.00011282744,0.00008484038,0.00010586794,0.000939964,0.00029752942,0.000015162476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010768829,0.000235675,0.02630327,0.0007166466,0.000025106432,0.0002511305,0.0004968167,0.012010527,0.8990599,0.0021134182,0.0033921623,0.05528764],"study_design_scores_gemma":[0.0002739123,0.00004014601,0.01108977,0.00006219619,0.000023580302,0.000062048064,0.000029570925,0.9507037,0.03636564,0.0004488876,0.00049286505,0.00040769696],"about_ca_topic_score_codex":0.000050855833,"about_ca_topic_score_gemma":0.00030646732,"teacher_disagreement_score":0.93869317,"about_ca_system_score_codex":0.00007572697,"about_ca_system_score_gemma":0.00002876827,"threshold_uncertainty_score":0.7818969},"labels":[],"label_agreement":null},{"id":"W4242202484","doi":"10.3410/f.733565089.793560120","title":"Faculty Opinions recommendation of Task-dependent representations of stimulus and choice in mouse parietal cortex.","year":2019,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Stimulus (psychology); Posterior parietal cortex; Neuroscience; Psychology; Sensory system; Perception; Visual cortex; Visual perception; Cognitive psychology","score_opus":0.04417104866076678,"score_gpt":0.36201169977121095,"score_spread":0.3178406511104442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242202484","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00005113041,0.00018326685,0.00002633586,0.0485091,0.00084598083,0.0014938823,0.94884056,0.000016601398,0.00003317309],"genre_scores_gemma":[0.00040375747,0.00039204082,0.00009358316,0.0019746001,0.00007779504,0.00010799671,0.995755,0.000020009162,0.0011751753],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99569094,0.0005304055,0.001552975,0.00077737845,0.0011790495,0.00026922466],"domain_scores_gemma":[0.9949504,0.00045912707,0.0016554184,0.0011452048,0.0016262422,0.00016359826],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007811716,0.00037661308,0.00079726573,0.0004129085,0.00012631479,0.00009262992,0.0009704295,0.00042273436,0.00013213624],"category_scores_gemma":[0.010035593,0.000262485,0.00030385744,0.0015565879,0.00036080953,0.0004246466,0.00051586464,0.0008448919,0.00001442133],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019146984,0.00038957252,0.000044451015,0.0038389945,0.000027295604,2.7668708e-7,0.00006629226,0.0000017872339,0.00045327062,0.00019650723,0.99421966,0.0007427453],"study_design_scores_gemma":[0.000780722,0.00015482471,0.00477457,0.0029420513,0.000074724696,0.000024458268,0.000019430061,0.00019199042,0.00022824173,0.0000252962,0.99054724,0.00023642983],"about_ca_topic_score_codex":0.00016712114,"about_ca_topic_score_gemma":0.00003119335,"teacher_disagreement_score":0.04691451,"about_ca_system_score_codex":0.00007361754,"about_ca_system_score_gemma":0.00024165456,"threshold_uncertainty_score":0.9999827},"labels":[],"label_agreement":null},{"id":"W4242802716","doi":"10.3410/f.726562212.793526750","title":"Faculty Opinions recommendation of Analysis of neuronal spike trains, deconstructed.","year":2016,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Spike (software development); Train; Computer science; Data science; Geography; Cartography; Software engineering","score_opus":0.038233061240144306,"score_gpt":0.3445546031951883,"score_spread":0.306321541955044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242802716","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000012649225,0.000115754716,0.0000644569,0.092707925,0.0011864018,0.00083648664,0.90498835,0.000028258422,0.000059718714],"genre_scores_gemma":[0.000079342,0.00040826172,0.00014764088,0.0040759626,0.00015110287,0.00007656661,0.9944773,0.00002211426,0.0005617488],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99444735,0.00067823683,0.0020143837,0.00088946987,0.0016154044,0.00035512936],"domain_scores_gemma":[0.9921136,0.0004518167,0.0026148625,0.0014540451,0.0031139445,0.00025173338],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00095770555,0.00050461944,0.0012583805,0.00095273554,0.00019590317,0.0000828378,0.0017090853,0.0005355166,0.0007878402],"category_scores_gemma":[0.01108293,0.000301873,0.0011887035,0.004889778,0.0006432318,0.0003713822,0.0004230023,0.00075,0.000016405253],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016990694,0.00026345637,0.000010055179,0.0021365616,0.00020257875,2.1764885e-7,0.000023648518,3.6677957e-7,0.00017075487,0.0008409885,0.9918426,0.004491756],"study_design_scores_gemma":[0.00044775885,0.00013505082,0.0028424042,0.0030574556,0.0006751066,0.000021551958,0.000006130186,0.000067071946,0.00019192162,0.0000460873,0.99222803,0.00028140587],"about_ca_topic_score_codex":0.000027547758,"about_ca_topic_score_gemma":0.000009473637,"teacher_disagreement_score":0.08948891,"about_ca_system_score_codex":0.00008341835,"about_ca_system_score_gemma":0.00038393968,"threshold_uncertainty_score":0.9999433},"labels":[],"label_agreement":null},{"id":"W4242819136","doi":"10.3410/f.1157335.617477","title":"Faculty Opinions recommendation of Sensory transmission in cerebellar granule cells relies on similarly coded mossy fiber inputs.","year":2009,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Granule cell; Neuroscience; Sensory system; Cerebellum; Mossy fiber (hippocampus); Chemistry; Computer science; Communication; Biology; Psychology; Central nervous system","score_opus":0.03704021544378687,"score_gpt":0.3277977075964241,"score_spread":0.29075749215263724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242819136","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000057952157,0.0002001801,0.000021672473,0.14748444,0.0007367916,0.0013941532,0.84999716,0.000042770404,0.000117058786],"genre_scores_gemma":[0.000028602872,0.001033303,0.00024073487,0.012333641,0.00014469137,0.00008065369,0.98398155,0.000032019885,0.0021247845],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9942462,0.0008854937,0.0017420638,0.0010211974,0.0016703353,0.00043473236],"domain_scores_gemma":[0.99520946,0.0003113636,0.0013328061,0.001278477,0.0016065547,0.00026132687],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010679836,0.0006299268,0.000976804,0.00057027466,0.00026904678,0.00014729041,0.0013221491,0.0008222124,0.00033800476],"category_scores_gemma":[0.0037243841,0.00041677748,0.00058638834,0.0023637481,0.00030322085,0.00038705603,0.00019773828,0.0015545664,0.000070769645],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049186132,0.0005876311,4.6817098e-7,0.0027975454,0.000013767023,0.0000010753112,0.00007763023,0.00000469731,0.0003665252,0.0000963542,0.99027604,0.005729058],"study_design_scores_gemma":[0.00077452156,0.00031098374,0.00022412748,0.007860621,0.00007110837,0.000019928204,0.0000065220356,0.00010196722,0.0015321258,0.00007316922,0.9886333,0.00039164975],"about_ca_topic_score_codex":0.000031646447,"about_ca_topic_score_gemma":0.000004978569,"teacher_disagreement_score":0.1351508,"about_ca_system_score_codex":0.00014526039,"about_ca_system_score_gemma":0.00026329185,"threshold_uncertainty_score":0.9998284},"labels":[],"label_agreement":null},{"id":"W4243035722","doi":"10.3410/f.733228478.793560132","title":"Faculty Opinions recommendation of Two-photon imaging of neuronal activity in motor cortex of marmosets during upper-limb movement tasks.","year":2019,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Japan Society for the Promotion of Science; Japan Agency for Medical Research and Development; Konica Minolta Imaging Science Foundation; Howard Hughes Medical Institute","keywords":"Neuroscience; Primary motor cortex; Calcium imaging; Premovement neuronal activity; Two-photon excitation microscopy; Cognition; Cortex (anatomy); Task (project management); Motor cortex; Brain activity and meditation; Psychology; Computer science; Electroencephalography; Physics; Medicine; Calcium","score_opus":0.03108826636087138,"score_gpt":0.3385078602783434,"score_spread":0.30741959391747203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243035722","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011177249,0.000122049096,0.0000122385,0.032819904,0.0011579705,0.0017466049,0.9629842,0.000015571648,0.000023728386],"genre_scores_gemma":[0.0026555446,0.00033161012,0.00010211244,0.001746882,0.00007462529,0.000102823265,0.994722,0.000026298823,0.00023808659],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9950138,0.00060024566,0.0016952865,0.0008170117,0.0015204714,0.00035319582],"domain_scores_gemma":[0.9942677,0.00027508245,0.0024780922,0.0012043113,0.0016233368,0.0001514972],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009254102,0.00046991906,0.0010131183,0.0005803728,0.00011074263,0.00005495895,0.0012577191,0.0002829204,0.00019630814],"category_scores_gemma":[0.003931215,0.00034009304,0.0005746323,0.0017692101,0.00032119552,0.00043923795,0.00062279595,0.00092872314,0.000008174699],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000877878,0.0008294083,0.00010615919,0.009546515,0.000033984154,5.056016e-7,0.000044749588,0.0000013161799,0.014498665,0.00014835248,0.97338086,0.0013216785],"study_design_scores_gemma":[0.0012567599,0.0002335264,0.041525967,0.008177925,0.00008224335,0.000018708904,0.000010911758,0.00035412147,0.004948018,0.000036687878,0.94301146,0.00034365398],"about_ca_topic_score_codex":0.00012589894,"about_ca_topic_score_gemma":0.000006825741,"teacher_disagreement_score":0.041419808,"about_ca_system_score_codex":0.00014473866,"about_ca_system_score_gemma":0.00029551404,"threshold_uncertainty_score":0.9999051},"labels":[],"label_agreement":null},{"id":"W4243445756","doi":"10.3410/f.10089956.10849055","title":"Faculty Opinions recommendation of Recoding of sensory information across the retinothalamic synapse.","year":2011,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"National Institutes of Health; National Science Foundation","keywords":"ENCODE; Neuroscience; Sensory system; Stimulus (psychology); Synapse; Information transmission; Computer science; Psychology; Biology; Cognitive psychology; Computer network","score_opus":0.05516424811928999,"score_gpt":0.3475960740745149,"score_spread":0.29243182595522493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243445756","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000019891044,0.0001148564,0.0000390034,0.071745366,0.0014941173,0.0013159028,0.9251276,0.000033106186,0.0001101385],"genre_scores_gemma":[0.00017909177,0.0005334664,0.0001058556,0.0044981516,0.00013592355,0.000111128196,0.99395066,0.000018625045,0.00046711086],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9950686,0.00072808977,0.002003854,0.00051322574,0.001320347,0.00036588253],"domain_scores_gemma":[0.99148995,0.00041314642,0.0031885016,0.0014595044,0.0033124262,0.00013645848],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018909702,0.00044624862,0.00075250573,0.00026763155,0.00037826927,0.00012839644,0.0017712879,0.00057212997,0.00022128003],"category_scores_gemma":[0.014475107,0.0002547186,0.0005799174,0.0019308111,0.0005985038,0.0007887395,0.0005837063,0.0011245068,0.000044505654],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020649575,0.00013895058,0.0000034192067,0.004062106,0.000034292865,1.0303081e-7,0.00027097113,3.089511e-7,0.000084938154,0.00061253115,0.99192667,0.0028450878],"study_design_scores_gemma":[0.00034707895,0.00012132481,0.00074974285,0.0046105175,0.00008201494,0.000049705355,0.00005745979,0.00004966489,0.00062430854,0.00005548283,0.99301094,0.00024174305],"about_ca_topic_score_codex":0.00006319107,"about_ca_topic_score_gemma":0.000004769985,"teacher_disagreement_score":0.068823025,"about_ca_system_score_codex":0.00008841732,"about_ca_system_score_gemma":0.00024199994,"threshold_uncertainty_score":0.9999905},"labels":[],"label_agreement":null},{"id":"W4243637992","doi":"10.31234/osf.io/f8mje","title":"Cortical sources of the auditory attentional blink","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Baycrest Hospital","funders":"","keywords":"Attentional blink; Psychology; P3b; Neuroscience; Perception; Electroencephalography; Event-related potential","score_opus":0.053096831546737853,"score_gpt":0.26571006973985223,"score_spread":0.21261323819311437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243637992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97607964,0.0000064448554,0.0012376698,0.009450474,0.0052023646,0.0002572856,0.00003802182,0.00007090995,0.007657189],"genre_scores_gemma":[0.99484885,0.000007153415,0.000045438162,0.0015740753,0.00040985065,0.0000071515888,0.0000026345379,0.000009433684,0.0030953959],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99886495,0.000108636516,0.00021202528,0.00035530474,0.00035865873,0.00010040024],"domain_scores_gemma":[0.9993518,0.00018679936,0.00014405063,0.0002454336,0.000029562689,0.000042343814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006511249,0.00010742642,0.00013467988,0.000023409115,0.000085140455,0.00003153589,0.00037485547,0.00010011431,0.00019007553],"category_scores_gemma":[0.0004080763,0.00006609207,0.00019666494,0.00009148857,0.00017675031,0.000021452901,0.00080913055,0.0005378748,0.000032323198],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050744595,0.00014814903,0.004048256,0.00018503828,0.000019723788,0.000010485637,0.00006150111,0.0012696366,0.91360223,0.059542265,0.020070607,0.0009913906],"study_design_scores_gemma":[0.0008893541,0.00028278105,0.4052327,0.00025107048,0.00019148481,0.00006363697,0.00008241435,0.19208096,0.27086028,0.10011713,0.0288373,0.0011108657],"about_ca_topic_score_codex":0.0000066992843,"about_ca_topic_score_gemma":0.0000017767082,"teacher_disagreement_score":0.6427419,"about_ca_system_score_codex":0.000013378108,"about_ca_system_score_gemma":0.00007855679,"threshold_uncertainty_score":0.26951566},"labels":[],"label_agreement":null},{"id":"W4244183327","doi":"10.31231/osf.io/dxhtv","title":"Brain in a Vat or Body in a World: Brainbound Versus Enactive View of Experience","year":2017,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Embodied cognition; Consciousness; Argument (complex analysis); Epistemology; Psychology; Thought experiment; Cognitive science; Electromagnetic theories of consciousness; Cognitive psychology; Philosophy; Biology","score_opus":0.09552534549365653,"score_gpt":0.36664243928966533,"score_spread":0.2711170937960088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244183327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97558093,0.00003319085,0.00008927044,0.0013189676,0.0018452315,0.0009105303,0.000030977568,0.00004265472,0.02014824],"genre_scores_gemma":[0.9912149,0.00012688835,0.00009733951,0.0006634763,0.00005042253,0.00012513732,0.000005527293,0.000025508503,0.007690852],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974728,0.00022696164,0.0005309136,0.0010058916,0.00037522014,0.00038816582],"domain_scores_gemma":[0.9974854,0.0011315419,0.0004093262,0.0008631152,0.000036577057,0.00007405781],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000338918,0.00032644835,0.0005636617,0.00054483785,0.000077935394,0.00014725575,0.00084842386,0.0001801964,0.00026316923],"category_scores_gemma":[0.002461237,0.00026414235,0.00011763087,0.0004533557,0.00026654088,0.00028986754,0.00091925624,0.0007237577,0.00001415921],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.014429227,0.002678285,0.0055165137,0.0017788454,0.000062111714,0.0023302317,0.018095985,0.0014890094,0.8195505,0.057755034,0.0022785324,0.074035704],"study_design_scores_gemma":[0.035991404,0.0045264205,0.11414337,0.011233424,0.00011293437,0.00018799477,0.0047541247,0.14494118,0.52893233,0.070399925,0.07520302,0.009573861],"about_ca_topic_score_codex":0.0011697708,"about_ca_topic_score_gemma":0.00853922,"teacher_disagreement_score":0.29061818,"about_ca_system_score_codex":0.00023120956,"about_ca_system_score_gemma":0.00024354165,"threshold_uncertainty_score":0.9999811},"labels":[],"label_agreement":null},{"id":"W4244600797","doi":"10.1007/978-3-319-47829-6_1481-1","title":"Stuck-in-Time Hypothesis","year":2017,"lang":"en","type":"book-chapter","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science","score_opus":0.05340073350234596,"score_gpt":0.23993784884429942,"score_spread":0.18653711534195344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244600797","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00063866755,0.000008025243,0.0000041706253,0.0003625133,0.0003610108,0.0001956333,0.000021602287,0.000068188114,0.9983402],"genre_scores_gemma":[0.0074977195,0.000110479545,0.00002871854,0.0008071127,0.000117891424,0.0000036247613,0.0000020492696,0.000044778106,0.9913876],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99883974,0.000011747369,0.00017989968,0.0004995191,0.00028586952,0.0001832581],"domain_scores_gemma":[0.9990447,0.00022130295,0.00014589883,0.00052259123,0.000012591919,0.000052895146],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00008839835,0.00022140148,0.00025255754,0.00013393453,0.00010864246,0.00011970757,0.0004549134,0.00018762345,0.0022773365],"category_scores_gemma":[0.00012567127,0.00018444781,0.0001140058,0.0000073113833,0.00008564822,0.000096106756,0.0001214104,0.00024306207,0.0034714923],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001333183,0.00011628985,0.000054626595,0.00007713503,0.000031554373,0.00093883194,0.000034255194,0.00001227394,0.16065024,0.65519136,0.022808228,0.15995191],"study_design_scores_gemma":[0.0005303412,0.00019123305,0.00039541515,0.00019732342,0.000044436332,0.00006563471,6.631131e-7,0.0009882047,0.008864232,0.20201348,0.7856191,0.0010899741],"about_ca_topic_score_codex":0.000009684417,"about_ca_topic_score_gemma":0.000023697014,"teacher_disagreement_score":0.7628108,"about_ca_system_score_codex":0.000042854663,"about_ca_system_score_gemma":0.00002237427,"threshold_uncertainty_score":0.9986347},"labels":[],"label_agreement":null},{"id":"W4244990218","doi":"10.1017/s147292880100005x","title":"Dendritic organization in thalamocortical neurons and state-dependent functions of inhibitory synaptic inputs","year":2001,"lang":"en","type":"article","venue":"Thalamus & Related Systems","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Soma; Neuroscience; Inhibitory postsynaptic potential; Postsynaptic potential; Excitatory postsynaptic potential; Dendrite (mathematics); Reticular connective tissue; Postsynaptic Current; Synapse; Physics; Chemistry; Biology; Biophysics; Anatomy; Receptor","score_opus":0.013500704061773157,"score_gpt":0.2175929929551859,"score_spread":0.20409228889341274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244990218","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99666655,0.000106040614,0.0002918477,0.00015233265,0.0011343065,0.00046791896,0.00001002657,0.00011659217,0.0010543921],"genre_scores_gemma":[0.99876237,0.00014163525,0.0000020406655,0.000044339293,0.00003034758,0.000016131713,0.000008075253,0.000037812733,0.0009572521],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99802876,0.00030772953,0.00059626217,0.00044649895,0.00031820821,0.00030255166],"domain_scores_gemma":[0.9991384,0.0002458041,0.0001683226,0.00025066055,0.0000917313,0.00010505723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022173718,0.00017705064,0.00026804063,0.0002659839,0.00011364162,0.00005738154,0.00011332328,0.0001391205,0.000028850041],"category_scores_gemma":[0.00045772528,0.0001667413,0.00002881922,0.0010514406,0.00012556664,0.00022689419,0.00007053851,0.0003259385,0.000056118868],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005984329,0.00035708322,0.12685029,0.00015190973,0.000026147763,0.00051217264,0.00063400046,0.0077397004,0.85911953,0.003832225,0.000050513332,0.000666579],"study_design_scores_gemma":[0.010806164,0.0028924225,0.55633414,0.0018465302,0.00044441244,0.015601469,0.0019277798,0.31478754,0.088499576,0.0030222717,0.00089818466,0.0029395171],"about_ca_topic_score_codex":0.00010121798,"about_ca_topic_score_gemma":0.000032405325,"teacher_disagreement_score":0.77062,"about_ca_system_score_codex":0.0000814016,"about_ca_system_score_gemma":0.00004900207,"threshold_uncertainty_score":0.6799513},"labels":[],"label_agreement":null},{"id":"W4245440997","doi":"10.1002/9780470171455.ch1","title":"The Correlative Brain","year":2007,"lang":"en","type":"other","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; McMaster University","funders":"","keywords":"Correlation; Correlative; Novelty; Coding (social sciences); Perception; Sensory system; Neuroscience; Novelty detection; Pattern recognition (psychology); Population; Computer science; Artificial intelligence; Psychology; Communication; Mathematics; Medicine; Statistics","score_opus":0.022631937688998217,"score_gpt":0.26901618189222914,"score_spread":0.24638424420323093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245440997","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000006626751,0.000033749875,0.0011913179,0.0010588776,0.0014945335,0.00017687338,0.0000075487515,0.00017473417,0.99585575],"genre_scores_gemma":[0.0002951802,0.000065260974,0.0000182064,0.0034329675,0.00018925549,0.0000035235043,0.0000018033816,0.00013363182,0.99586016],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99932307,0.000043238422,0.000079562764,0.00022417044,0.00016506726,0.00016488852],"domain_scores_gemma":[0.99907434,0.00061929366,0.00008035914,0.00019103666,0.00000476795,0.000030181021],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00010135697,0.000110584595,0.00007239566,0.000080096805,0.00010830311,0.000041076837,0.00016663238,0.000105999236,0.0017380747],"category_scores_gemma":[0.00027342583,0.000059644535,0.000044604138,0.00015864227,0.00010433068,0.000013497965,0.00003875678,0.00018418276,0.0010458587],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003643344,0.0000045471406,0.0000018121699,0.0000013805168,0.0000015828531,0.0000056219765,0.0000035316552,2.7916565e-7,0.0010093107,0.07726015,0.9135448,0.008163334],"study_design_scores_gemma":[0.00005384968,0.000021967284,0.000008806816,0.0000087904655,0.0000017713069,0.0000054079514,0.0000050136014,0.0003704098,0.00044247927,0.0007209046,0.99827385,0.00008676114],"about_ca_topic_score_codex":0.000027507298,"about_ca_topic_score_gemma":0.00011025593,"teacher_disagreement_score":0.08472904,"about_ca_system_score_codex":0.000013591966,"about_ca_system_score_gemma":0.0000109361445,"threshold_uncertainty_score":0.99973196},"labels":[],"label_agreement":null},{"id":"W4245621135","doi":"10.31219/osf.io/pszgx","title":"Grand Unified Theories of the brain need better understanding of behavior: the two-tiered emergence of function.","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"Horizon 2020 Framework Programme; Agence Nationale de la Recherche","keywords":"Synergetics (Haken); Computer science; Cognitive science; Realization (probability); Task (project management); Function (biology); Artificial intelligence; Brain function; Neuroscience; Psychology; Mathematics; Physics; Economics","score_opus":0.06029144897446479,"score_gpt":0.27774431154962603,"score_spread":0.21745286257516125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245621135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97176945,0.000024962665,0.013269226,0.0024122102,0.0039809914,0.00096970424,0.0001374789,0.00003672503,0.0073992447],"genre_scores_gemma":[0.99826247,0.000025847681,0.00003855077,0.00047746394,0.00007313283,0.00002079965,0.0000049405658,0.000020767138,0.0010760179],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99794877,0.00034001382,0.00058674195,0.0004110942,0.00051592005,0.00019745593],"domain_scores_gemma":[0.99773276,0.00050511875,0.00071297376,0.0008891324,0.000131037,0.000028997705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051416544,0.00023477331,0.0003372767,0.00010406666,0.0002087726,0.000030123761,0.0007267385,0.00013748645,0.00032221508],"category_scores_gemma":[0.00030838203,0.00012522111,0.0002770875,0.00042074802,0.0010928545,0.00007838222,0.00062770705,0.00035851815,0.0000013712327],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029883956,0.00013283556,0.0040386003,0.00018660665,0.000050988754,7.468614e-7,0.0007118593,0.00042694452,0.762517,0.22832088,0.0027907663,0.00052392797],"study_design_scores_gemma":[0.0011391453,0.00047095187,0.011222817,0.00028186824,0.00040516656,0.0000098096925,0.0021304414,0.0035010937,0.5768796,0.40305895,0.00034425073,0.0005558958],"about_ca_topic_score_codex":0.00016594499,"about_ca_topic_score_gemma":0.00010415937,"teacher_disagreement_score":0.18563738,"about_ca_system_score_codex":0.0000282649,"about_ca_system_score_gemma":0.00007631,"threshold_uncertainty_score":0.51063687},"labels":[],"label_agreement":null},{"id":"W4245945048","doi":"10.1167/13.9.837","title":"Assessing lateral interactions within the early visual areas of adults with autism.","year":2013,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Université du Québec à Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Autism; Psychology; Visual cortex; Neuroscience; Audiology; Visual perception; Contrast (vision); Perception; Cognitive psychology; Developmental psychology; Medicine; Computer science; Artificial intelligence","score_opus":0.01800658827218321,"score_gpt":0.30521948593253967,"score_spread":0.28721289766035646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245945048","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973478,0.000004794337,0.00049178756,0.0013010382,0.000551511,0.00008804937,6.004859e-7,0.000006447698,0.0002080205],"genre_scores_gemma":[0.99941695,0.000004755957,0.0002170519,0.0001766755,0.00006431373,9.181631e-7,2.1717244e-7,0.000008455129,0.00011064664],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99907327,0.000099368684,0.00032008483,0.000095562624,0.00031840926,0.00009330376],"domain_scores_gemma":[0.99902016,0.00017785933,0.0005485158,0.000087509856,0.000115936054,0.000050016857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016584496,0.00007536809,0.00011825132,0.00009084656,0.00011876572,0.00018642862,0.00012950749,0.000023441598,0.000044425557],"category_scores_gemma":[0.00011098273,0.000037468177,0.000060856786,0.00016981461,0.000058573158,0.0012074357,0.000029363115,0.00027752985,0.000009302575],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002683656,0.0001883117,0.003559093,0.000013346452,0.000010376995,0.000026034113,0.0006569191,0.00039136503,0.9822258,0.0003757965,0.00026378172,0.012020849],"study_design_scores_gemma":[0.0011261139,0.0027312825,0.89748555,0.00085544103,0.000034199344,0.0008577133,0.00046165913,0.050270166,0.044520408,0.0013534891,0.0001433584,0.00016059856],"about_ca_topic_score_codex":0.000041193674,"about_ca_topic_score_gemma":0.000006532672,"teacher_disagreement_score":0.93770534,"about_ca_system_score_codex":0.000023004972,"about_ca_system_score_gemma":0.000030331628,"threshold_uncertainty_score":0.17977355},"labels":[],"label_agreement":null},{"id":"W4246252518","doi":"10.1007/978-1-4614-6675-8_644","title":"Proprioceptor Models","year":2015,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Psychology","score_opus":0.05811878881232818,"score_gpt":0.2656418617102304,"score_spread":0.20752307289790223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246252518","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001177295,0.000079355465,0.0055615185,0.00035583143,0.0030838598,0.00053849706,0.00019825897,0.00013045497,0.9888749],"genre_scores_gemma":[0.09617372,0.0005203716,0.0014645159,0.0015989823,0.000647518,0.00001994288,0.000044944158,0.00013319869,0.8993968],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99673915,0.000040584608,0.00054366706,0.0008833998,0.0015167848,0.00027638866],"domain_scores_gemma":[0.9984423,0.00028306476,0.0005037011,0.00030803058,0.00026720884,0.00019568756],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018549775,0.00035665787,0.00037159727,0.00025949607,0.00013926964,0.0000491478,0.00063810515,0.00015892099,0.00009314356],"category_scores_gemma":[0.00035302853,0.0003344116,0.00014694034,0.0001592678,0.00052493747,0.00041932872,0.00022354706,0.00040132058,0.00006835351],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044161967,0.00008042037,0.0000036356573,0.000055063258,0.0000022826248,0.000052507636,0.00007253473,0.18774055,0.0046290737,0.78946066,0.0118010575,0.0060580783],"study_design_scores_gemma":[0.00026526093,0.0003021154,0.000037610593,0.000063453765,0.000017261076,0.00006785148,0.000001327651,0.09023417,0.00019312819,0.6250833,0.2832528,0.00048167305],"about_ca_topic_score_codex":0.0000021589337,"about_ca_topic_score_gemma":6.6596203e-7,"teacher_disagreement_score":0.27145177,"about_ca_system_score_codex":0.00006325836,"about_ca_system_score_gemma":0.00047981623,"threshold_uncertainty_score":0.9999108},"labels":[],"label_agreement":null},{"id":"W4246261760","doi":"10.31234/osf.io/wgjy7","title":"Deep Inhalation Eliminates Spatial Wrapping","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Inhalation; Exhalation; Perception; Neuroscience; Neocortex; Medicine; Anesthesia; Psychology; Computer science","score_opus":0.03160787729955312,"score_gpt":0.257084740134742,"score_spread":0.22547686283518886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246261760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74251676,0.000028160792,0.19543676,0.0014010295,0.00760989,0.0010397631,0.000013976697,0.00041620227,0.051537454],"genre_scores_gemma":[0.9962365,0.00004971166,0.00018142477,0.0007390021,0.00020543122,0.00001732952,0.000034871344,0.000023115397,0.002512608],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986388,0.000071083414,0.00022642376,0.00061005686,0.00025486277,0.00019874157],"domain_scores_gemma":[0.9992538,0.00016191739,0.00016237043,0.0003424511,0.000039082603,0.000040354258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009931342,0.00019499945,0.00017986115,0.00012744163,0.00007789422,0.00014010881,0.00022253489,0.00020088117,0.00022525738],"category_scores_gemma":[0.00021874669,0.00017185906,0.000101115635,0.00008792915,0.000030108853,0.00009709883,0.00045992376,0.0004120477,0.00028857784],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000088108325,0.00014804167,0.0017136153,0.0004362176,0.00001754912,0.000029370196,0.00028101716,0.09004449,0.77209586,0.014538673,0.0007615164,0.119845554],"study_design_scores_gemma":[0.00014768327,0.00005413017,0.002465827,0.000050539482,0.000012766481,0.000007566491,0.000010967484,0.9229022,0.06754617,0.0058170287,0.0006757857,0.00030932375],"about_ca_topic_score_codex":0.00012097491,"about_ca_topic_score_gemma":0.00003307935,"teacher_disagreement_score":0.8328577,"about_ca_system_score_codex":0.000052774783,"about_ca_system_score_gemma":0.00003412043,"threshold_uncertainty_score":0.7008209},"labels":[],"label_agreement":null},{"id":"W4246724578","doi":"10.12688/f1000research.22584.1","title":"Computationally going where experiments cannot: a dynamical assessment of dendritic ion channel currents during in vivo-like states","year":2020,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Neuroscience; Population; Medicine","score_opus":0.07262824145986496,"score_gpt":0.3845222272299463,"score_spread":0.3118939857700813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246724578","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995186,0.00008469313,0.0011026913,0.00082523545,0.0009568786,0.0010320357,0.00037973656,0.000069993155,0.00036277084],"genre_scores_gemma":[0.99867445,0.00024352329,0.00024178707,0.00007664429,0.00009787902,0.00017615326,0.000120573015,0.00005807415,0.0003108878],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9957453,0.0004930512,0.0006312108,0.0010247563,0.0015204464,0.0005852129],"domain_scores_gemma":[0.99873745,0.0003771251,0.00020275147,0.00032644335,0.00015286486,0.00020333263],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032222903,0.0003111688,0.00044211332,0.0004598828,0.0001405192,0.00016231595,0.0006781641,0.00016872738,0.00011208305],"category_scores_gemma":[0.00021655428,0.00032888024,0.00012672367,0.00047626876,0.00015079531,0.00015430166,0.0016779124,0.0012681796,0.000017406226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024630968,0.000801721,0.008539044,0.0024887498,0.000037969705,0.00036988896,0.00096396334,0.07513534,0.9093765,0.0010128098,0.00048814138,0.0005395888],"study_design_scores_gemma":[0.0009094269,0.00015853092,0.02685566,0.00079971616,0.0000073310184,0.000010319515,0.0001270337,0.9459936,0.022049656,0.002675179,0.00006399342,0.0003495772],"about_ca_topic_score_codex":0.0003285942,"about_ca_topic_score_gemma":0.00012566983,"teacher_disagreement_score":0.88732684,"about_ca_system_score_codex":0.00054327823,"about_ca_system_score_gemma":0.00038386186,"threshold_uncertainty_score":0.9999163},"labels":[],"label_agreement":null},{"id":"W4246833382","doi":"10.32920/ryerson.14653833","title":"Routing simulation of brain network topology.","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Routing table; Computer science; Static routing; Equal-cost multi-path routing; Computer network; Routing (electronic design automation); Link-state routing protocol; Dynamic Source Routing; Policy-based routing; Metrics; Distributed computing; IP forwarding; Network packet; Routing protocol","score_opus":0.04437535886319276,"score_gpt":0.3010132635342584,"score_spread":0.2566379046710656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246833382","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.916532,0.000029098786,0.06163786,0.0017173542,0.003301152,0.00033424603,0.00000898757,0.00012717255,0.016312124],"genre_scores_gemma":[0.9962467,0.000008962943,0.0004174789,0.0015197819,0.00023230935,0.00000425398,0.000020941947,0.000013667426,0.0015358892],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987273,0.00016685622,0.00030125695,0.00045359216,0.00016499033,0.00018599596],"domain_scores_gemma":[0.9986494,0.0007378395,0.00022807931,0.00030483905,0.00005006045,0.000029770968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020008958,0.00013299323,0.00022830727,0.000039927683,0.00006861797,0.000049153026,0.00015878941,0.00018915594,0.00020872444],"category_scores_gemma":[0.0008302263,0.00012421454,0.00011678339,0.00015771427,0.00005044301,0.000050773244,0.0005050164,0.00032437578,0.0000042563415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010259078,0.00002310108,0.00035299474,0.00003898868,0.0000044202716,0.000007770183,0.000049980514,0.9455553,0.04107349,0.009633167,0.00019971597,0.0030507648],"study_design_scores_gemma":[0.00010040821,0.000033086966,0.0010022393,0.00006615586,0.000010103084,0.00000371996,0.000023966824,0.97852784,0.011680345,0.008120119,0.0002657444,0.00016624643],"about_ca_topic_score_codex":0.00004817595,"about_ca_topic_score_gemma":0.000027243033,"teacher_disagreement_score":0.07971471,"about_ca_system_score_codex":0.000025616653,"about_ca_system_score_gemma":0.00004845347,"threshold_uncertainty_score":0.5065322},"labels":[],"label_agreement":null},{"id":"W4246954923","doi":"10.31226/osf.io/a69dt","title":"Electrophysiological monitoring of inhibition in mammalian species, from rodents to humans","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Neuroscience; Electrophysiology; Biology; Animal species; Inhibitory postsynaptic potential; Human brain; Zoology","score_opus":0.04995100438706628,"score_gpt":0.274006418265741,"score_spread":0.22405541387867473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246954923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99605215,0.0000046470655,0.0004449725,0.00014426603,0.0012371961,0.00040488862,0.000071208226,0.00003622564,0.0016044464],"genre_scores_gemma":[0.99772847,0.000043982094,0.0002193789,0.00017035649,0.00021421317,0.000019357114,0.00003461766,0.000014797888,0.001554849],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983948,0.00008971155,0.0003224331,0.00068379735,0.00028009462,0.00022917359],"domain_scores_gemma":[0.9993779,0.000081401864,0.00012347965,0.0003436474,0.000025645468,0.00004794664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006345872,0.00018643429,0.00029504875,0.00015115472,0.000027092276,0.00004673102,0.00019548589,0.00018054346,0.00013408459],"category_scores_gemma":[0.00010703436,0.0001616861,0.00008786614,0.00016512304,0.000025242709,0.000057205394,0.00048495305,0.0004443141,0.000076564385],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000066059634,0.00006705375,0.003622271,0.000019847048,0.0000013652724,0.000011413222,0.000027508582,0.0031620816,0.9921759,0.000582809,0.000089277164,0.00017446348],"study_design_scores_gemma":[0.00020364176,0.00023666036,0.22233418,0.00014236591,0.0000047412677,5.823656e-7,0.000019248819,0.0009764058,0.76992077,0.005791659,0.00012078816,0.00024898746],"about_ca_topic_score_codex":0.0004952319,"about_ca_topic_score_gemma":0.00004434596,"teacher_disagreement_score":0.22225511,"about_ca_system_score_codex":0.00012378253,"about_ca_system_score_gemma":0.00002271226,"threshold_uncertainty_score":0.65933675},"labels":[],"label_agreement":null},{"id":"W4246968025","doi":"10.1121/1.4800198","title":"Prolonged low-grade noise exposure induces aging-like functional and structural changes in cortical auditory pathways","year":2013,"lang":"en","type":"article","venue":"Proceedings of meetings on acoustics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"","keywords":"Auditory cortex; Neuroscience; Inhibitory postsynaptic potential; Interneuron; Noise (video); Auditory pathways; Noise exposure; Psychology; Audiology; Biology; Medicine; Hearing loss; Computer science","score_opus":0.02041726620621103,"score_gpt":0.2209062307985208,"score_spread":0.20048896459230975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246968025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978018,0.000014863302,0.0000051273682,0.0008015535,0.00062341517,0.0004111883,0.000011066251,0.00007887569,0.0002521532],"genre_scores_gemma":[0.9986168,0.00004305471,0.00017904057,0.0006816141,0.00030831754,0.000053329444,0.0000023426994,0.000027923787,0.00008759046],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99836236,0.000015848576,0.00031680113,0.0005044112,0.00043599567,0.00036456125],"domain_scores_gemma":[0.99906015,0.0002706335,0.0002644106,0.00006601362,0.00021591423,0.00012285534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002280878,0.00023402536,0.00024699947,0.00019890326,0.00015532502,0.00011000142,0.000169325,0.00014808738,0.000025926394],"category_scores_gemma":[0.0012796009,0.00020111955,0.000032331063,0.00028370225,0.00021230953,0.00026849573,0.00010764124,0.0004715594,0.000006807679],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056995825,0.0000684784,0.0066975853,0.00015232817,0.0000031202446,0.000002401683,0.00025721703,0.00004646696,0.9906286,0.0005292022,0.00048006538,0.0010775133],"study_design_scores_gemma":[0.0017687901,0.0014072818,0.48397386,0.0004118025,0.000049656548,0.000069134825,0.0010788332,0.040855058,0.46587536,0.0036810646,0.000078957775,0.0007502104],"about_ca_topic_score_codex":0.00001195996,"about_ca_topic_score_gemma":0.000002815722,"teacher_disagreement_score":0.5247533,"about_ca_system_score_codex":0.000045001838,"about_ca_system_score_gemma":0.000023624218,"threshold_uncertainty_score":0.82014173},"labels":[],"label_agreement":null},{"id":"W4247492970","doi":"10.1371/annotation/1fe001e2-eb2a-4891-a947-a0105812911b","title":"Correction: Emergence of Resonances in Neural Systems: The Interplay between Adaptive Threshold and Short-Term Synaptic Plasticity","year":2011,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Term (time); Plasticity; Synaptic plasticity; Neuroscience; Neuroplasticity; Physics; Biology; Quantum mechanics","score_opus":0.10385171375821017,"score_gpt":0.2614759568263248,"score_spread":0.15762424306811462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247492970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99832594,0.000084687104,0.00008545056,0.000034838555,0.00036207162,0.00027842904,0.000016337273,0.000023373914,0.00078887155],"genre_scores_gemma":[0.99972135,0.00006187547,0.000010773762,0.000027683647,0.000053524516,0.000025329531,5.658381e-7,0.000008264049,0.000090605354],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990054,0.000089460256,0.0002526373,0.0002720831,0.00021955224,0.00016090475],"domain_scores_gemma":[0.9993786,0.00033462528,0.00008952673,0.00012881686,0.000031807685,0.000036629845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011236892,0.00010570822,0.0001982582,0.000059988844,0.00007864575,0.00001632327,0.00017409411,0.000041479845,0.000018257742],"category_scores_gemma":[0.00018070877,0.000074453914,0.000022777913,0.00020533445,0.0001769344,0.00015647156,0.00008247915,0.00020355641,0.000003005988],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006137004,0.0010210299,0.6728549,0.00023427591,0.00010646821,0.000048094604,0.0026690545,0.0001572639,0.31673446,0.0027124132,0.00015170629,0.0026966196],"study_design_scores_gemma":[0.0002794227,0.0012916647,0.4682824,0.0007285261,0.00012052404,0.00002213031,0.0005471945,0.41659632,0.111527994,0.00029147905,0.0000032038017,0.00030915308],"about_ca_topic_score_codex":0.00009252185,"about_ca_topic_score_gemma":0.000092425194,"teacher_disagreement_score":0.41643906,"about_ca_system_score_codex":0.000012725379,"about_ca_system_score_gemma":0.000008933473,"threshold_uncertainty_score":0.30361426},"labels":[],"label_agreement":null},{"id":"W4250039990","doi":"10.1007/978-3-319-26911-5_1","title":"Introduction","year":2016,"lang":"en","type":"book-chapter","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Political science","score_opus":0.023400533699064124,"score_gpt":0.21987105389730027,"score_spread":0.19647052019823616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250039990","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000016345448,0.000004807799,0.00033396872,0.0050384537,0.001953167,0.0000993099,0.000011995079,0.00012248431,0.9924195],"genre_scores_gemma":[0.00097273977,0.00009836613,0.000013252274,0.0008349122,0.0021589259,0.0000018124601,0.0000028899187,0.00002836639,0.9958887],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99921757,0.0000058200103,0.00011684187,0.000400197,0.00015764732,0.00010194676],"domain_scores_gemma":[0.99960166,0.000046296038,0.000070998816,0.0002286872,0.000018107523,0.000034228196],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0000332893,0.00013497418,0.00010382734,0.00007044374,0.00005261902,0.00002311461,0.000087633845,0.00011338333,0.0072150347],"category_scores_gemma":[0.000050561946,0.000088344,0.00006687297,0.000009824919,0.00005268711,0.00007307978,0.000038995127,0.0001238753,0.0037411794],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000060383795,0.0000017675507,5.6214954e-8,0.0000029490147,0.0000011159929,0.0000038958624,5.961499e-7,1.9192223e-7,0.06024343,0.883649,0.033873517,0.022217426],"study_design_scores_gemma":[0.000048263842,0.000036338493,6.904217e-7,0.000008398567,0.000004495463,0.000022636012,7.8549306e-8,0.000018879366,0.0072677988,0.091263145,0.9012016,0.00012769866],"about_ca_topic_score_codex":3.0256004e-7,"about_ca_topic_score_gemma":0.0000011010881,"teacher_disagreement_score":0.86732805,"about_ca_system_score_codex":0.000036461952,"about_ca_system_score_gemma":0.000010542718,"threshold_uncertainty_score":0.99703455},"labels":[],"label_agreement":null},{"id":"W4250219424","doi":"10.1007/978-4-431-73021-7_14","title":"Large-Scale Network Dynamics in Neurocognitive Function","year":2007,"lang":"en","type":"book-chapter","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Baycrest Hospital","funders":"","keywords":"Neurocognitive; Context (archaeology); Computer science; Function (biology); Neurophysiology; Cognitive science; Scale (ratio); Dynamics (music); Artificial neural network; Psychology; Neuroscience; Cognitive psychology; Cognition; Artificial intelligence; Biology; Geography; Cartography","score_opus":0.028202755058000663,"score_gpt":0.24344024111235169,"score_spread":0.21523748605435103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250219424","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005542934,0.000026647338,0.007738443,0.00012791014,0.0020172126,0.00054383936,0.00007279258,0.00017250163,0.98874635],"genre_scores_gemma":[0.026180325,0.00027044624,0.0000805532,0.0074657896,0.00072949886,0.000013887677,0.00015686576,0.00014177048,0.9649609],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977725,0.000035212513,0.00042869337,0.0008430354,0.00038392792,0.0005366395],"domain_scores_gemma":[0.9990775,0.0002828934,0.00019930587,0.00028164542,0.00005738812,0.00010127082],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025075316,0.00039290663,0.00033542025,0.00027209314,0.00013968347,0.00005821584,0.00017428987,0.0004207213,0.0007197148],"category_scores_gemma":[0.00005636114,0.00037799784,0.00016216293,0.00015752988,0.00007738385,0.0001468875,0.00013689512,0.0008590512,0.00042539087],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029462943,0.000075652606,0.00012769132,0.000032848722,0.000008850513,0.00022211295,0.000024833507,0.0002377651,0.00034714915,0.9759809,0.0020646832,0.020582901],"study_design_scores_gemma":[0.0019494493,0.0010457591,0.0014523988,0.0003917266,0.00013462538,0.00013878822,0.0000993817,0.16424765,0.00020271624,0.27945772,0.54859996,0.0022798558],"about_ca_topic_score_codex":0.000009318211,"about_ca_topic_score_gemma":0.0023828926,"teacher_disagreement_score":0.6965232,"about_ca_system_score_codex":0.0002421036,"about_ca_system_score_gemma":0.000032533466,"threshold_uncertainty_score":0.9998672},"labels":[],"label_agreement":null},{"id":"W4250779158","doi":"10.1109/ieeeconf53345.2021.9723396","title":"Tracking the dynamics of perisaccadic visual signals with magnetoencephalography","year":2021,"lang":"en","type":"article","venue":"2021 55th Asilomar Conference on Signals, Systems, and Computers","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Magnetoencephalography; Computer science; Saccade; Eye movement; Computer vision; Visual cortex; Artificial intelligence; Stimulus (psychology); Visual perception; Visual processing; Perception; Neuroscience; Electroencephalography; Psychology; Cognitive psychology","score_opus":0.03321175576721518,"score_gpt":0.2539617283799013,"score_spread":0.22074997261268609,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250779158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9453993,0.0007662283,0.046735425,0.0013984164,0.0012582389,0.0007999989,0.000115662675,0.000090072856,0.0034366993],"genre_scores_gemma":[0.9987333,0.00023406961,0.000106784726,0.0005191846,0.000101284575,0.000024622723,0.000020686504,0.000024209203,0.00023587837],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99734205,0.000538342,0.0004674273,0.0007064092,0.00057361816,0.00037212865],"domain_scores_gemma":[0.99849683,0.00046651118,0.00032239498,0.00034678655,0.000230521,0.00013697134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028489943,0.00031273338,0.00046978978,0.00014753391,0.00030347376,0.0004019164,0.00030969124,0.00009114854,0.00007467406],"category_scores_gemma":[0.000052086776,0.00021605083,0.00011607073,0.0006093368,0.0003255187,0.00018812259,0.00008979907,0.00027327103,0.000008255021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000993371,0.0012957053,0.010219159,0.0010276039,0.00042437445,0.0013922404,0.0025769093,0.015758963,0.42373952,0.33736953,0.0013494858,0.20385313],"study_design_scores_gemma":[0.0018151557,0.0029786762,0.006251118,0.0013916113,0.00015768052,0.0006192197,0.0067729237,0.9586026,0.017888105,0.0010475054,0.0013013926,0.0011740212],"about_ca_topic_score_codex":0.00006442831,"about_ca_topic_score_gemma":0.00004317994,"teacher_disagreement_score":0.9428436,"about_ca_system_score_codex":0.000028679331,"about_ca_system_score_gemma":0.0001477025,"threshold_uncertainty_score":0.8810297},"labels":[],"label_agreement":null},{"id":"W4251960865","doi":"10.32920/ryerson.14644236","title":"Musicianship and neural synchronization at multiple timescales","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; McGill University","funders":"","keywords":"Synchronization (alternating current); Electroencephalography; Psychology; Neuroscience; Rhythm; Physics; Acoustics; Speech recognition; Computer science; Mathematics; Topology (electrical circuits)","score_opus":0.03604105721684256,"score_gpt":0.242824280462383,"score_spread":0.20678322324554044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251960865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928414,0.00009730539,0.0023601719,0.00086004456,0.0013087175,0.00029321393,0.000025372341,0.00015338745,0.0020603538],"genre_scores_gemma":[0.994967,0.000115084,0.0001718593,0.0015656111,0.00013230786,0.00001616877,0.00009195045,0.000027356453,0.002912688],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985335,0.00011901106,0.00019623671,0.0007433384,0.0002075237,0.00020042164],"domain_scores_gemma":[0.9992509,0.00023402555,0.000101093945,0.00030077237,0.00003897904,0.0000742672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006372679,0.00021308172,0.00019675655,0.0000641748,0.00017847856,0.00023271122,0.00013568166,0.00017920232,0.00017144946],"category_scores_gemma":[0.00038391154,0.00019174095,0.000071502516,0.00011282744,0.00008484038,0.00010586794,0.000939964,0.00029752942,0.000015162476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010768829,0.000235675,0.02630327,0.0007166466,0.000025106432,0.0002511305,0.0004968167,0.012010527,0.8990599,0.0021134182,0.0033921623,0.05528764],"study_design_scores_gemma":[0.0002739123,0.00004014601,0.01108977,0.00006219619,0.000023580302,0.000062048064,0.000029570925,0.9507037,0.03636564,0.0004488876,0.00049286505,0.00040769696],"about_ca_topic_score_codex":0.000050855833,"about_ca_topic_score_gemma":0.00030646732,"teacher_disagreement_score":0.93869317,"about_ca_system_score_codex":0.00007572697,"about_ca_system_score_gemma":0.00002876827,"threshold_uncertainty_score":0.7818969},"labels":[],"label_agreement":null},{"id":"W4253550384","doi":"10.1111/j.1528-1167.2005.01067_4.x","title":"Ictogenesis","year":2005,"lang":"en","type":"article","venue":"Epilepsia","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Neuroscience; CNQX; Ictal; Dentate gyrus; Hippocampal formation; Bicuculline; Neocortex; Physics; GABAergic; Epilepsy; Interneuron; Glutamate receptor; Biology; Receptor; GABAA receptor; Medicine; Internal medicine; AMPA receptor; Inhibitory postsynaptic potential","score_opus":0.02908729605478894,"score_gpt":0.2551303431403426,"score_spread":0.22604304708555367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253550384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.965805,0.000014238849,0.00051971036,0.0029423558,0.0003793579,0.000077059725,0.0000047830563,0.00012775509,0.030129738],"genre_scores_gemma":[0.9922714,0.000022429633,0.00023590644,0.0030238298,0.00022362296,0.000005730627,9.662539e-7,0.000009560999,0.0042065294],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994344,0.000027532886,0.00008725519,0.0001930833,0.00011313848,0.00014458947],"domain_scores_gemma":[0.9997199,0.00006129428,0.000025445419,0.00014143683,0.0000070677816,0.000044844764],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000045623667,0.00005914922,0.000055421675,0.000034108267,0.00008283156,0.000024859584,0.000100934936,0.000024857754,0.0003911498],"category_scores_gemma":[0.0000901853,0.000052792915,0.000038724364,0.0001274423,0.00002408901,0.00011162957,0.000025530164,0.000053729724,0.0010726363],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013073305,0.00004584285,0.00093965925,0.0000025016168,0.0000010497046,0.000008185137,0.00003244381,0.00016761383,0.89798373,0.02377905,0.007148825,0.069878004],"study_design_scores_gemma":[0.00031645613,0.00007810858,0.018542085,0.0000053329563,0.000006314113,0.000045201254,0.0000058727487,0.019158352,0.49241313,0.0014542761,0.4677351,0.0002397762],"about_ca_topic_score_codex":0.0000024198914,"about_ca_topic_score_gemma":0.0000026196406,"teacher_disagreement_score":0.46058628,"about_ca_system_score_codex":0.000018277717,"about_ca_system_score_gemma":0.000006577303,"threshold_uncertainty_score":0.99970514},"labels":[],"label_agreement":null},{"id":"W4253863974","doi":"10.1088/0954-898x_15_3_001","title":"The emergence of temporal hyperacuity from widely tuned cell populations","year":2004,"lang":"en","type":"article","venue":"Network Computation in Neural Systems","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Regina","keywords":"Hyperacuity; Computer science; Population; Auditory cortex; Psychophysics; Neuroscience; Coincidence detection in neurobiology; Temporal resolution; Neural coding; Artificial intelligence; Coincidence; Biology; Perception; Physics","score_opus":0.047633181606669156,"score_gpt":0.27435737149002365,"score_spread":0.2267241898833545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253863974","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98665553,0.00020220438,0.007850547,0.00041200937,0.0039730254,0.00047349156,0.000015981426,0.000060673785,0.0003565498],"genre_scores_gemma":[0.9993342,0.00001864845,0.00017912776,0.000106058564,0.00023498964,0.000022346505,0.000023173516,0.000014328539,0.00006709023],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982334,0.00026727866,0.0006059446,0.00031656394,0.00032569046,0.00025113524],"domain_scores_gemma":[0.99899876,0.0003783596,0.00032982908,0.00018163458,0.000059881662,0.000051553397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020649441,0.00013702802,0.00018839016,0.000044458655,0.00030961234,0.00007832871,0.00021218557,0.00005576526,0.0000046899345],"category_scores_gemma":[0.000070198614,0.00010543301,0.00006506741,0.0006128719,0.000066046,0.0001786374,0.000046777954,0.00016909094,0.000011845232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000312118,0.00003370639,0.008910991,0.000008741302,0.0000012248059,0.000004751318,0.000061950894,0.9795,0.00795619,0.002130643,0.00032003433,0.0010405459],"study_design_scores_gemma":[0.00071000535,0.00013478573,0.039003458,0.000063816995,0.000008034966,0.000009116188,0.00008780394,0.9487856,0.0007360495,0.009979829,0.00027184945,0.00020966874],"about_ca_topic_score_codex":0.0014568203,"about_ca_topic_score_gemma":0.00034698384,"teacher_disagreement_score":0.030714428,"about_ca_system_score_codex":0.000041882115,"about_ca_system_score_gemma":0.000028088256,"threshold_uncertainty_score":0.42994335},"labels":[],"label_agreement":null},{"id":"W4254132153","doi":"10.12688/f1000research.8809.2","title":"The referential brain: why do some neurons learn and some do not?","year":2017,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Neuroscience; Open peer review; Adaptation (eye); Structural plasticity; Plant biology; Neuroplasticity; Biology; Functional organization; Cortex (anatomy); Psychology","score_opus":0.10552811941012538,"score_gpt":0.3558796929590382,"score_spread":0.2503515735489128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254132153","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8550722,0.0010212337,0.00004833217,0.12750262,0.00686033,0.002222218,0.0004401563,0.00029970656,0.0065332125],"genre_scores_gemma":[0.9431727,0.006851231,0.000010624306,0.0025563529,0.0016375028,0.00016718385,0.000028805644,0.0001256413,0.045449942],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9950545,0.0007102229,0.00036330987,0.0014299097,0.0015110795,0.00093099236],"domain_scores_gemma":[0.9953977,0.0020345345,0.00023218688,0.0019175252,0.00012811039,0.00028996548],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0013762885,0.00038336095,0.0003437616,0.000239348,0.0021424962,0.0033403898,0.0021303918,0.00036626225,0.00009828066],"category_scores_gemma":[0.0037588745,0.000276422,0.00019088415,0.00011113833,0.0010115835,0.00041401834,0.005088099,0.0031068188,0.00021485778],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013171827,0.00030806192,0.0004831758,0.0007291425,0.0000868633,0.00049637887,0.00044857175,0.00028217764,0.42088357,0.25691465,0.16972433,0.1483259],"study_design_scores_gemma":[0.0015466076,0.00071798754,0.011400353,0.00033231717,0.000049674894,0.00011055003,0.00007271856,0.014226327,0.020061994,0.2912825,0.65882206,0.0013768777],"about_ca_topic_score_codex":0.00018382259,"about_ca_topic_score_gemma":0.000062961946,"teacher_disagreement_score":0.48909777,"about_ca_system_score_codex":0.00007689389,"about_ca_system_score_gemma":0.0002614511,"threshold_uncertainty_score":0.99996877},"labels":[],"label_agreement":null},{"id":"W4255657138","doi":"10.1017/s0140525x01393925","title":"Magical attention","year":2001,"lang":"en","type":"article","venue":"Behavioral and Brain Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Cognitive psychology; Short-term memory; Psychology; Episodic memory; Term (time); Computer science; Cognitive science; Cognition; Neuroscience; Working memory","score_opus":0.09950529401241633,"score_gpt":0.33798916382210165,"score_spread":0.23848386980968533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255657138","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99349093,0.000015446843,0.000058974005,0.004092786,0.0002481122,0.000077453886,0.0000022037211,0.000052549152,0.0019615544],"genre_scores_gemma":[0.9968973,0.000033077096,0.00010424348,0.0007484628,0.000050264294,0.00000459591,6.1161586e-7,0.0000029126595,0.002158566],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99905986,0.000045468554,0.00010378473,0.0003473607,0.00024307704,0.00020043743],"domain_scores_gemma":[0.99975955,0.00006531197,0.0000336463,0.00006235884,0.0000101562155,0.000068995425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019543026,0.000076649725,0.00006810976,0.000058629365,0.00035512043,0.00014751876,0.0001286269,0.000030074929,0.0000941981],"category_scores_gemma":[0.000051642997,0.000053827716,0.0000311714,0.000347902,0.0003967072,0.00030609244,0.000052802938,0.0000644693,0.000033477103],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011074903,0.0000890654,0.06920709,0.0000015999256,1.641741e-7,0.000034728422,0.00002896877,0.000001777929,0.8633366,0.0051620156,0.00030446408,0.06182245],"study_design_scores_gemma":[0.0010721269,0.0020350541,0.90825933,0.000051876545,0.000024540708,0.0012053736,0.00044219595,0.0054014623,0.033275552,0.015667303,0.031695925,0.00086926],"about_ca_topic_score_codex":0.000024511053,"about_ca_topic_score_gemma":0.000007070353,"teacher_disagreement_score":0.83905226,"about_ca_system_score_codex":0.0000065954578,"about_ca_system_score_gemma":0.0000094510115,"threshold_uncertainty_score":0.27313352},"labels":[],"label_agreement":null},{"id":"W4255784057","doi":"10.22215/etd/2014-10408","title":"Contextual Coherence in the Visual Imagination: An Interdisciplinary Analysis","year":2014,"lang":"en","type":"dissertation","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Coherence (philosophical gambling strategy); Cognitive science; Cognition; Computer science; Computation; Cognitive psychology; Psychology; Artificial intelligence; Algorithm; Mathematics; Neuroscience","score_opus":0.021046411764256288,"score_gpt":0.35174620963657444,"score_spread":0.3306997978723181,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255784057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9604963,0.00000939067,0.0004570903,0.00041322265,0.000607613,0.00032728055,0.000010669931,0.000054288357,0.03762416],"genre_scores_gemma":[0.9907774,0.000005192304,0.0000093986855,0.0008487398,0.00009253017,0.000052425585,0.0006187886,0.000014903569,0.007580661],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981901,0.00033494845,0.00031443505,0.0005707952,0.0003979519,0.00019175923],"domain_scores_gemma":[0.9991245,0.00029493004,0.00017693327,0.00030161807,0.00006232591,0.000039640745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003333262,0.000214119,0.00026829523,0.0003835885,0.00018287545,0.0002054308,0.0004825208,0.00011891377,0.00025996703],"category_scores_gemma":[0.000116375464,0.00014204843,0.0001425958,0.0010091298,0.000054261895,0.00026496654,0.000044689183,0.00035810127,0.000049627157],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024052917,0.0043350346,0.010592155,0.00050171313,0.0004098672,0.0004884368,0.03362358,0.0020549279,0.41160846,0.15501963,0.009086506,0.3698744],"study_design_scores_gemma":[0.001935795,0.002590862,0.37729096,0.00016828834,0.0012607914,0.000055592267,0.02582704,0.5427928,0.022572642,0.020890022,0.0020032888,0.00261189],"about_ca_topic_score_codex":0.000075849115,"about_ca_topic_score_gemma":0.0046547474,"teacher_disagreement_score":0.54073787,"about_ca_system_score_codex":0.000034648318,"about_ca_system_score_gemma":0.000030929747,"threshold_uncertainty_score":0.5792567},"labels":[],"label_agreement":null},{"id":"W4255817204","doi":"10.4103/0028-3886.181574","title":"A summary of some of the recently published seminal papers in neuroscience","year":2016,"lang":"en","type":"article","venue":"Neurology India","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Western Hospital","funders":"","keywords":"Medicine; Neuroscience; MEDLINE; Cognitive science","score_opus":0.012762304245694904,"score_gpt":0.22399514946975427,"score_spread":0.21123284522405936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255817204","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99105483,0.0000074128398,0.0000013179495,0.005497977,0.0011816446,0.00015919517,0.00002024687,0.000014279737,0.0020631207],"genre_scores_gemma":[0.99473214,0.000068624635,0.0000022279073,0.0048828726,0.000022278859,0.00000688562,2.2608282e-7,0.000008752212,0.00027598933],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985314,0.00026490813,0.00028975,0.0003945964,0.0002484015,0.0002709624],"domain_scores_gemma":[0.9989551,0.00041503008,0.00021710608,0.0003544102,0.00001841985,0.000039938077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002044294,0.000102170874,0.00016307992,0.00014090816,0.000048673774,0.000008174629,0.0005400551,0.000086229964,0.000032619217],"category_scores_gemma":[0.0013853556,0.000057578596,0.00006555831,0.0005161703,0.00053465465,0.0002190736,0.00017251672,0.00021010319,0.0000025286008],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008914103,0.000055461893,0.058137044,0.000006214175,3.4891508e-7,0.000013861365,0.00002280331,0.000007711003,0.93644017,0.0028044882,0.00021064395,0.0022121412],"study_design_scores_gemma":[0.0007399259,0.00054849056,0.80746394,0.000027049524,0.0000053408717,0.00006490589,0.000002596899,0.0002048644,0.18322651,0.0022337555,0.0053613354,0.000121275574],"about_ca_topic_score_codex":0.000010478613,"about_ca_topic_score_gemma":0.000013178504,"teacher_disagreement_score":0.75321364,"about_ca_system_score_codex":0.000009574041,"about_ca_system_score_gemma":0.000058137954,"threshold_uncertainty_score":0.2347987},"labels":[],"label_agreement":null},{"id":"W4255892549","doi":"10.1186/s13408-020-00083-y","title":"Correction to: Linking demyelination to compound action potential dispersion with a spike-diffuse-spike approach","year":2020,"lang":"en","type":"erratum","venue":"The Journal of Mathematical Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Spike (software development); Computer science; Action (physics); Artificial intelligence; Natural language processing; Physics","score_opus":0.045354281912678394,"score_gpt":0.27584009666654236,"score_spread":0.23048581475386395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255892549","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09216465,0.000025818887,0.8206679,0.012122804,0.06874606,0.0019261815,0.000018049896,0.00016792542,0.004160572],"genre_scores_gemma":[0.95392984,0.00030693747,0.0032134792,0.011596268,0.0043462184,0.000027024422,0.000010343112,0.00020338678,0.026366519],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9956937,0.0004220047,0.00077993405,0.00060897425,0.0020373985,0.00045802677],"domain_scores_gemma":[0.9976144,0.000498104,0.00087044976,0.00038532988,0.00021878078,0.00041293047],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000943617,0.00041460554,0.00055808877,0.00035420488,0.0006208652,0.0004005946,0.0012000717,0.00016099821,0.00001332496],"category_scores_gemma":[0.002601158,0.00024910865,0.00019139942,0.0013703891,0.00022665875,0.00046639945,0.00029836706,0.0019205323,0.000053547323],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014911466,0.0008112417,0.0000036396618,0.00036581265,0.000009953977,0.00014445293,0.0011749482,0.01682074,0.8001004,0.00046148727,0.17355451,0.0050616926],"study_design_scores_gemma":[0.0012643574,0.007150605,0.0007450402,0.0022060594,0.0003948311,0.009000037,0.0005361866,0.91587013,0.014715415,0.002802167,0.0440165,0.0012986698],"about_ca_topic_score_codex":0.0000036502458,"about_ca_topic_score_gemma":0.0000031502095,"teacher_disagreement_score":0.8990494,"about_ca_system_score_codex":0.00017632282,"about_ca_system_score_gemma":0.00017227208,"threshold_uncertainty_score":0.9999961},"labels":[],"label_agreement":null},{"id":"W4256135550","doi":"10.1017/s0048577201981867","title":"Neural sources involved in auditory target detection and novelty processing: An event-related fMRI study","year":2001,"lang":"en","type":"article","venue":"Psychophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Inferior parietal lobule; Psychology; Functional magnetic resonance imaging; Neuroscience; Middle temporal gyrus; Superior temporal gyrus; Insula; Novelty; Inferior frontal gyrus; Neural correlates of consciousness; Cognition","score_opus":0.02228695709280426,"score_gpt":0.2807009238291332,"score_spread":0.25841396673632894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4256135550","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980567,0.00002389428,0.00006184108,0.00018028182,0.001167444,0.0003444519,0.0000016739522,0.00009079761,0.000072907525],"genre_scores_gemma":[0.99922264,0.000019265717,0.000009801926,0.00041150607,0.00017218867,0.000038943672,0.000003952473,0.000018236979,0.00010349457],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984648,0.00027423256,0.00025885904,0.0006123613,0.00011550854,0.00027421745],"domain_scores_gemma":[0.9995429,0.00006133454,0.00012244977,0.00017948492,0.00002303696,0.00007077936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012311195,0.00016524036,0.0001909406,0.00015141428,0.00017391509,0.000034679524,0.00013767894,0.00010011173,0.000020526079],"category_scores_gemma":[0.0000710992,0.00014521487,0.000028753424,0.00041004852,0.00010995932,0.0002881663,0.000040091265,0.00027537605,0.000011303452],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002687328,0.00048501667,0.009373997,0.0000064579635,0.0000022971358,0.000014753202,0.00033200585,0.00065203256,0.9822099,0.0000040391924,0.000010888435,0.00663986],"study_design_scores_gemma":[0.0034578636,0.0032820029,0.69028,0.000014254354,0.000015386562,0.00005750765,0.0008039651,0.283764,0.012170967,0.005179634,0.00043756937,0.0005368199],"about_ca_topic_score_codex":0.00004777666,"about_ca_topic_score_gemma":0.00013435274,"teacher_disagreement_score":0.97003895,"about_ca_system_score_codex":0.000024717534,"about_ca_system_score_gemma":0.000011410441,"threshold_uncertainty_score":0.59216905},"labels":[],"label_agreement":null},{"id":"W4280539061","doi":"10.1093/acrefore/9780190264086.013.346","title":"Models of Decision-Making Over Time","year":2022,"lang":"en","type":"preprint","venue":"Oxford Research Encyclopedia of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Perception; Sensory system; Noise (video); Computer science; Process (computing); Filter (signal processing); Threshold model; Point (geometry); Cognitive psychology; Range (aeronautics); Class (philosophy); Artificial intelligence; Psychology; Machine learning; Mathematics; Engineering","score_opus":0.08384005812593785,"score_gpt":0.3744720835188047,"score_spread":0.2906320253928668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280539061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88219005,0.00007709526,0.0014845423,0.00020115513,0.0026134409,0.0012976812,0.00041068415,0.00008417695,0.11164116],"genre_scores_gemma":[0.9870893,0.008224972,0.0007162785,0.00023409678,0.00011025052,0.0001234372,0.000006069972,0.00007365889,0.0034219467],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99154234,0.00080294814,0.00091147167,0.0017244383,0.0041015707,0.000917256],"domain_scores_gemma":[0.99433124,0.003143941,0.00058343925,0.0014650982,0.00027561895,0.00020063506],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020645838,0.0003635389,0.0006069507,0.0011152476,0.0005086639,0.00011550966,0.0030908629,0.00019201117,0.0004015396],"category_scores_gemma":[0.0069450093,0.0003372858,0.00029690674,0.002199605,0.0011700613,0.00047844846,0.006922641,0.0021252665,0.0000068092086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062291615,0.0010724823,0.00067332626,0.00066218496,0.0000067900323,0.00042491505,0.0005366481,0.115566105,0.7805943,0.012636076,0.002967,0.08423724],"study_design_scores_gemma":[0.0006237968,0.001642083,0.0060894554,0.0007426417,0.000027542234,0.000071999566,0.0000577341,0.72720003,0.0067404103,0.20199539,0.05368271,0.001126198],"about_ca_topic_score_codex":0.000039509432,"about_ca_topic_score_gemma":0.0000034785862,"teacher_disagreement_score":0.7738539,"about_ca_system_score_codex":0.00014893018,"about_ca_system_score_gemma":0.00071923365,"threshold_uncertainty_score":0.9999079},"labels":[],"label_agreement":null},{"id":"W4280541226","doi":"10.1016/j.neubiorev.2022.104690","title":"Cross-frequency coupling in psychiatric disorders: A systematic review","year":2022,"lang":"en","type":"review","venue":"Neuroscience & Biobehavioral Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":63,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"Australian Research Council; Department of Psychiatry, University of Toronto; Ontario Ministry of Health and Long-Term Care; Scottish Rite Charitable Foundation of Canada; BrightFocus Foundation; BrainsWay; Canadian Institutes of Health Research; Weston Brain Institute; Centre for Addiction and Mental Health Foundation; Fondation Brain Canada; Centre for Addiction and Mental Health; National Institutes of Health; Ontario Ministry of Research, Innovation and Science; Canada Research Chairs; Brain and Behavior Research Foundation","keywords":"Schizophrenia (object-oriented programming); Autism spectrum disorder; Psychology; Anxiety; Psychiatry; Magnetoencephalography; Endophenotype; Bipolar disorder; Attention deficit hyperactivity disorder; Dementia; Depression (economics); Neuroscience; Disease; Autism; Electroencephalography; Clinical psychology; Audiology; Cognition; Medicine","score_opus":0.15142158358438068,"score_gpt":0.41046051449896925,"score_spread":0.25903893091458857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280541226","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000030414634,0.984909,0.000011306945,0.0000100986435,0.0029439414,0.01162256,0.00009731795,0.00015554245,0.00021984211],"genre_scores_gemma":[0.000015274354,0.9931257,0.000031096115,0.0018660517,0.00006531099,0.004408829,0.000034903063,0.0001326721,0.0003201703],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9898405,0.0011368181,0.0038969116,0.002622234,0.0013460302,0.0011575246],"domain_scores_gemma":[0.9949913,0.000061079096,0.002670463,0.0019597101,0.000027546086,0.00028992078],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0028353103,0.0012603009,0.005156776,0.0008273793,0.0006441852,0.0004054774,0.0028938625,0.00025528777,0.00050420535],"category_scores_gemma":[0.0045957915,0.0009360129,0.0017624839,0.0065626088,0.0003439306,0.00070326583,0.0006048222,0.0018419974,0.00029260592],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013771752,0.00029723535,0.00003239615,0.6957856,7.4291755e-8,0.00006969607,0.0000056540816,0.0000023934272,0.000058930444,0.00017441077,0.00011486504,0.3034574],"study_design_scores_gemma":[0.00009523012,0.00019010698,0.0000045489355,0.16611269,0.0006041314,0.00016534001,0.0000015045877,0.000077013734,1.4695229e-7,0.00003607422,0.83193016,0.0007830509],"about_ca_topic_score_codex":0.000039932478,"about_ca_topic_score_gemma":0.000021955795,"teacher_disagreement_score":0.8318153,"about_ca_system_score_codex":0.00050343195,"about_ca_system_score_gemma":0.0003795034,"threshold_uncertainty_score":0.99930906},"labels":[],"label_agreement":null},{"id":"W4280572104","doi":"10.1101/2022.05.16.492063","title":"Quantifying rhythmicity in perceptual reports","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo; Deutsche Forschungsgemeinschaft","keywords":"Statistics; Mathematics; Sensitivity (control systems); Weighting; Range (aeronautics); Population; Sample size determination; Bonferroni correction; Computer science; Engineering; Physics","score_opus":0.044489439629548856,"score_gpt":0.2578129958020161,"score_spread":0.21332355617246726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280572104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938245,0.00010546369,0.00018255298,0.00024947285,0.0043398687,0.00072490436,0.0001129571,0.00042272726,0.000037541602],"genre_scores_gemma":[0.9980631,0.00014653985,0.0004625879,0.00069296657,0.00027811568,0.00021196567,3.1567774e-7,0.00012682338,0.000017593844],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9955588,0.00038739966,0.00080038677,0.0018812979,0.0006966168,0.00067551783],"domain_scores_gemma":[0.9975923,0.00016966116,0.0005761627,0.001384395,0.00009315983,0.00018435401],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00089964166,0.0005321191,0.00056608336,0.00047350914,0.0003237492,0.000256363,0.0004894036,0.00034160368,0.00033974336],"category_scores_gemma":[0.0010701789,0.0006044234,0.00019966238,0.0008760065,0.00012673764,0.00022827197,0.00122744,0.0017794695,0.000037711252],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028497465,0.00013736462,0.011107477,0.00013247014,0.000007632318,0.0015603781,0.000014051603,0.00083676924,0.98502636,0.001023166,0.00012384809,0.0000020137495],"study_design_scores_gemma":[0.00089233526,0.00021015345,0.48867983,0.00049122487,0.000083119434,0.0000012949018,0.000022096268,0.013284703,0.4752824,0.00003384112,0.017948397,0.0030706143],"about_ca_topic_score_codex":0.00014375441,"about_ca_topic_score_gemma":0.000012947503,"teacher_disagreement_score":0.5097439,"about_ca_system_score_codex":0.00056211295,"about_ca_system_score_gemma":0.00038721008,"threshold_uncertainty_score":0.9996407},"labels":[],"label_agreement":null},{"id":"W4280574773","doi":"10.1007/s11682-022-00643-8","title":"Alterations to cognitive abilities and functional networks in rats post broad-band intense noise exposure","year":2022,"lang":"en","type":"article","venue":"Brain Imaging and Behavior","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Auditory cortex; Audiology; Cognition; Default mode network; Neuroscience; Anterior cingulate cortex; Psychology; Noise (video); Morris water navigation task; Noise-induced hearing loss; Hearing loss; Medicine; Noise exposure; Computer science","score_opus":0.018562486242436834,"score_gpt":0.251336157724299,"score_spread":0.23277367148186218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280574773","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950554,0.00008584554,0.00018717574,0.003681207,0.00043600032,0.00034921058,0.000103828344,0.000039603987,0.00006175775],"genre_scores_gemma":[0.9933806,0.000007681371,0.00001600518,0.0053956467,0.00005945594,0.00022146337,0.00003217439,0.000014248822,0.0008726915],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988896,0.00015618489,0.00017035732,0.00042192359,0.00015488667,0.00020704241],"domain_scores_gemma":[0.99934876,0.00039843417,0.000036113994,0.00008522845,0.0000474599,0.000083982566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020037476,0.0001247717,0.000111349116,0.00015970328,0.00045670624,0.0001399814,0.00004553165,0.000017160684,0.00007901661],"category_scores_gemma":[0.00023828278,0.00012542983,0.000026594707,0.00022410012,0.00010836408,0.00018047239,0.00011267147,0.00023579315,0.000001740941],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037896002,0.00034699513,0.11032266,0.000017871424,0.000003379567,0.00018250498,0.0023820326,0.0006977866,0.8363373,0.00045899942,0.0023974697,0.04647401],"study_design_scores_gemma":[0.0023542452,0.00082469755,0.96563905,0.00008825634,0.00007304811,0.00094910583,0.0056321598,0.014039366,0.008009848,0.00030763444,0.0013055339,0.00077703455],"about_ca_topic_score_codex":0.00007090386,"about_ca_topic_score_gemma":0.000050846673,"teacher_disagreement_score":0.8553164,"about_ca_system_score_codex":0.000034674984,"about_ca_system_score_gemma":0.000023608925,"threshold_uncertainty_score":0.51148796},"labels":[],"label_agreement":null},{"id":"W4280579682","doi":"10.1101/2022.05.12.491644","title":"Adult-born granule cells improve stimulus encoding and discrimination in the dentate gyrus","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agencia Nacional de Promoción Científica y Tecnológica; International Development Research Centre","keywords":"Dentate gyrus; Neuroscience; Population; Stimulus (psychology); Neurogenesis; Biology; Stimulation; Psychology; Central nervous system; Medicine","score_opus":0.017624131594266065,"score_gpt":0.23177359827052219,"score_spread":0.21414946667625612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280579682","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953646,0.000097380864,0.0002754544,0.0005173734,0.0023375172,0.0009782666,0.0002623998,0.00013292923,0.000034080214],"genre_scores_gemma":[0.99797136,0.00043237532,0.00018695835,0.000883532,0.00015439483,0.0002944038,4.369375e-7,0.00006456842,0.000011971052],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9970883,0.00039592714,0.0004305714,0.001100107,0.00052755425,0.0004575336],"domain_scores_gemma":[0.9984861,0.00026499212,0.00033418863,0.0007254746,0.00008843879,0.00010080334],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006546947,0.0003989139,0.0003056494,0.00026579582,0.0003817347,0.00041135759,0.0006386715,0.0001690133,0.000029831237],"category_scores_gemma":[0.00038034635,0.00034689426,0.000092379516,0.0005447569,0.00012167913,0.00023826092,0.00064605696,0.0010066623,0.0000120794375],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030356967,0.000099581186,0.0009666535,0.00017155745,0.000005468898,0.00009797696,0.00007311048,0.00018314963,0.9964884,0.0018198573,0.000049171962,0.000014717539],"study_design_scores_gemma":[0.0011050468,0.00021311945,0.056280047,0.00020304212,0.00010929528,1.5987162e-7,0.0000813641,0.023298396,0.9163153,0.00007816398,0.0011843954,0.0011316265],"about_ca_topic_score_codex":0.00016932216,"about_ca_topic_score_gemma":0.000022193322,"teacher_disagreement_score":0.08017305,"about_ca_system_score_codex":0.00022984468,"about_ca_system_score_gemma":0.00011867421,"threshold_uncertainty_score":0.9998983},"labels":[],"label_agreement":null},{"id":"W4281385642","doi":"10.1523/jneurosci.1899-21.2022","title":"Spontaneous Spiking Is Governed by Broadband Fluctuations","year":2022,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Eye Institute; National Institute of Mental Health; National Institutes of Health; Canada First Research Excellence Fund; National Science Foundation","keywords":"Local field potential; Narrowband; Neuroscience; Neocortex; Population; Physics; Broadband; Computer science; Psychology; Telecommunications","score_opus":0.024374075327118393,"score_gpt":0.2556349976997421,"score_spread":0.2312609223726237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281385642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934475,0.000031520052,0.0007581406,0.00261502,0.0022552893,0.000091659706,0.00004944596,0.000017953796,0.0007334998],"genre_scores_gemma":[0.98922306,0.00004638178,0.00003637038,0.008456556,0.000064743246,0.0000022588085,2.739424e-7,0.00001167749,0.002158692],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979843,0.00013437892,0.0003472282,0.0002841173,0.001006662,0.00024333908],"domain_scores_gemma":[0.9990666,0.000178598,0.0004341749,0.00016403667,0.00004431797,0.0001122639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031187874,0.000106623585,0.00014142855,0.0001288429,0.0006864196,0.0001235556,0.00059485936,0.000015421385,0.00014670295],"category_scores_gemma":[0.00065520883,0.00009545973,0.00010186796,0.0006808846,0.000105354295,0.00038490235,0.00015926082,0.00039496765,0.000004922699],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037786558,0.00007671698,0.000047818237,0.000001683192,3.9880177e-7,0.00065186474,0.000083795065,0.0007169085,0.9926546,0.00018560566,0.0042245016,0.0013182869],"study_design_scores_gemma":[0.0018443957,0.004264181,0.009364734,0.000027913442,0.0000505736,0.08619216,0.0002468186,0.06726379,0.26293606,0.0033511359,0.5636489,0.0008093738],"about_ca_topic_score_codex":0.000004380367,"about_ca_topic_score_gemma":5.7088243e-7,"teacher_disagreement_score":0.72971857,"about_ca_system_score_codex":0.00010982176,"about_ca_system_score_gemma":0.00008618721,"threshold_uncertainty_score":0.5279454},"labels":[],"label_agreement":null},{"id":"W4281388304","doi":"10.1016/j.celrep.2022.110863","title":"Loss of neuronal heterogeneity in epileptogenic human tissue impairs network resilience to sudden changes in synchrony","year":2022,"lang":"en","type":"article","venue":"Cell Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Ontario Brain Institute; University of Toronto","funders":"","keywords":"Epileptogenesis; Neuroscience; Epilepsy; Biological neural network; Nerve net; Biology; Population; Medicine","score_opus":0.018990371841314604,"score_gpt":0.26485150815059966,"score_spread":0.24586113630928505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281388304","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981805,0.000037886733,0.000011866842,0.00018163472,0.0006256074,0.00040547524,0.0000068511595,0.000023471528,0.000526712],"genre_scores_gemma":[0.99902135,0.0000112208345,0.000017820228,0.00039928802,0.000057815512,0.000068747664,0.0000061468177,0.000018458366,0.00039912306],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99794245,0.00021208948,0.00044446372,0.0006261203,0.0003879161,0.00038694005],"domain_scores_gemma":[0.99917156,0.00009247135,0.00023511196,0.00040091554,0.000015613117,0.00008430458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052907196,0.00013631623,0.00021948619,0.00016669036,0.00014162224,0.000015412708,0.00021402646,0.00003411801,0.00013867994],"category_scores_gemma":[0.000117832125,0.00014844167,0.000046470104,0.000759066,0.00006010553,0.000060926257,0.00036552225,0.00022931062,0.0000033784254],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034612676,0.00015775149,0.096708655,0.000025753228,6.4087607e-7,0.0018331632,0.00011139318,0.030394267,0.8696256,0.000046661753,0.00038414306,0.0006773577],"study_design_scores_gemma":[0.00039854934,0.0013388239,0.32566577,0.00004189523,0.000008270262,0.000644889,0.00006233632,0.0015197624,0.66328925,0.001079743,0.005437547,0.000513145],"about_ca_topic_score_codex":0.00017254526,"about_ca_topic_score_gemma":0.0010225588,"teacher_disagreement_score":0.22895712,"about_ca_system_score_codex":0.000113343514,"about_ca_system_score_gemma":0.00004738497,"threshold_uncertainty_score":0.60532755},"labels":[],"label_agreement":null},{"id":"W4281553727","doi":"10.1371/journal.pcbi.1010080","title":"Performance-gated deliberation: A context-adapted strategy in which urgency is opportunity cost","year":2022,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"Fonds de Recherche du Québec - Santé; Institut de Valorisation des Données; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Deliberation; Reinforcement learning; Computer science; Context (archaeology); Artificial intelligence; Task (project management); Heuristic; Machine learning; Process (computing); Economics; Biology","score_opus":0.08925774088287312,"score_gpt":0.28143501970136686,"score_spread":0.19217727881849372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281553727","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99485123,0.00001177778,0.0002844809,0.0023637577,0.00027410538,0.00038153795,0.0001646555,0.00006438074,0.0016040897],"genre_scores_gemma":[0.9952219,0.000013158033,0.00003751384,0.004012569,0.00003408195,0.00008113541,0.0004164123,0.000010420244,0.00017280967],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985722,0.0003025724,0.00032039118,0.00038274511,0.00020120644,0.00022092184],"domain_scores_gemma":[0.99934125,0.00025646936,0.00011446112,0.000097426346,0.00011352436,0.000076877],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014566997,0.00012381656,0.00015697503,0.000160969,0.00034227467,0.000020781508,0.00016894507,0.000048444454,0.0014513367],"category_scores_gemma":[0.00014225452,0.00012561768,0.000030402067,0.0005999519,0.000052856645,0.00012209215,0.000102496626,0.00028514827,0.000036689264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009203355,0.0020274054,0.031213949,0.00005992555,0.00006065392,0.00008941717,0.000993896,0.6164456,0.17731737,0.090199046,0.00440099,0.076271385],"study_design_scores_gemma":[0.00064389856,0.0004475413,0.010784964,0.000004033648,0.0000047759613,0.000048484944,0.00005158215,0.9778467,0.0010245783,0.0042529474,0.0047007715,0.00018974318],"about_ca_topic_score_codex":0.000024256116,"about_ca_topic_score_gemma":0.000028023784,"teacher_disagreement_score":0.36140105,"about_ca_system_score_codex":0.00009352549,"about_ca_system_score_gemma":0.00022366477,"threshold_uncertainty_score":0.9994615},"labels":[],"label_agreement":null},{"id":"W4281560543","doi":"10.1371/journal.pbio.3001650","title":"Brain stimulation competes with ongoing oscillations for control of spike timing in the primate brain","year":2022,"lang":"en","type":"article","venue":"PLoS Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":115,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Ottawa; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Parkinson Canada","keywords":"Biology; Spike (software development); Neuroscience; Primate; Stimulation; Mammalian brain","score_opus":0.04468068540804491,"score_gpt":0.2925119619541007,"score_spread":0.24783127654605577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281560543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9857883,0.0000069596003,0.00609102,0.007050123,0.000078639234,0.00066456257,0.000097264965,0.000021451473,0.00020167258],"genre_scores_gemma":[0.9968854,5.946824e-7,0.00017205028,0.002758052,0.00002221967,0.00009608458,0.000027057818,0.0000074042214,0.000031107265],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913293,0.00026703026,0.00016516545,0.00019806063,0.000087857276,0.00014895153],"domain_scores_gemma":[0.9972791,0.0024595445,0.000118222655,0.00011341999,0.000019345698,0.000010353961],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030949854,0.00006599094,0.00012204462,0.00008898905,0.00021330715,0.0000101293535,0.00013579341,0.000020267878,0.000018802673],"category_scores_gemma":[0.000480103,0.000045525758,0.000027919488,0.00021220444,0.000064103995,0.000042585598,0.00003239622,0.000097718854,7.3871377e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015997807,0.0000969746,0.012703407,0.000017038268,0.0000052695177,0.0000013567512,0.00032310694,0.023274932,0.93526596,0.027158113,0.00005856741,0.000935314],"study_design_scores_gemma":[0.0026867331,0.0019493325,0.016041076,0.000017781163,0.000023386821,0.000025524114,0.0002199226,0.9567406,0.01130384,0.007000886,0.0037760686,0.00021481296],"about_ca_topic_score_codex":0.000011979299,"about_ca_topic_score_gemma":0.000028258592,"teacher_disagreement_score":0.9334657,"about_ca_system_score_codex":0.000025306117,"about_ca_system_score_gemma":0.000021088792,"threshold_uncertainty_score":0.18564865},"labels":[],"label_agreement":null},{"id":"W4281636778","doi":"10.1038/s42003-022-03450-5","title":"Deconvolution improves the detection and quantification of spike transmission gain from spike trains","year":2022,"lang":"en","type":"article","venue":"Communications Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Israel Science Foundation; Canadian Institutes of Health Research; Rosetrees Trust; International Development Research Centre","keywords":"Spike (software development); Deconvolution; Spike train; Computer science; Transmission (telecommunications); Point process; Pattern recognition (psychology); Artificial intelligence; Train; Biological system; Algorithm; Mathematics; Statistics; Telecommunications","score_opus":0.06251261582336753,"score_gpt":0.2950025395376224,"score_spread":0.23248992371425486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281636778","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9569313,0.0009363746,0.03491619,0.005802444,0.00031569498,0.00047007375,0.000121176934,0.00006434836,0.00044240555],"genre_scores_gemma":[0.9985252,0.0006904578,0.0002667831,0.00027891996,0.000014006826,0.000092912735,0.00007334377,0.0000076113492,0.000050782746],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987069,0.0006545252,0.00024168793,0.0002285351,0.000064852466,0.00010351954],"domain_scores_gemma":[0.998473,0.0005682314,0.00017130349,0.00073849625,0.000025585485,0.000023422584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002996582,0.00007600335,0.00009908998,0.000077819925,0.0008114881,0.000013270507,0.0005014999,0.00004633486,0.00002915716],"category_scores_gemma":[0.00013011137,0.00006003792,0.000043672742,0.00025593326,0.0003342034,0.00006473585,0.00020950727,0.0002316284,0.0000023860514],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023395663,0.000052557443,0.00013896682,0.0000020378636,0.00000241562,4.02561e-8,0.0001726176,0.00002841289,0.88401735,0.008787596,0.000008922025,0.10676572],"study_design_scores_gemma":[0.0010323501,0.00088485196,0.037620842,0.000013695271,0.000076457,0.000043124997,0.00124758,0.4627155,0.3432495,0.051170986,0.10154399,0.00040111624],"about_ca_topic_score_codex":0.00018943602,"about_ca_topic_score_gemma":0.00009385836,"teacher_disagreement_score":0.54076785,"about_ca_system_score_codex":0.000034939832,"about_ca_system_score_gemma":0.000020925956,"threshold_uncertainty_score":0.6241392},"labels":[],"label_agreement":null},{"id":"W4281741876","doi":"10.1101/2022.06.02.494429","title":"A multifaceted architectural framework of the mouse claustrum complex","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Clarendon Fund; National Institutes of Health; Wellcome Trust; Norges Forskningsråd; Natural Sciences and Engineering Research Council of Canada; European Commission; Kavli Foundation","keywords":"Claustrum; Parvalbumin; Neuroscience; Striatum; Biology; Calbindin; Myelin; Cytoarchitecture; Nucleus; Anatomy; Immunohistochemistry; Central nervous system","score_opus":0.030240212364968436,"score_gpt":0.2432366563379588,"score_spread":0.21299644397299036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281741876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99472123,0.00003759696,0.0004644266,0.00072805275,0.0020751115,0.00094722054,0.00073826005,0.00027840625,0.000009693711],"genre_scores_gemma":[0.9972834,0.000027369926,0.0013959658,0.00086156133,0.000171514,0.00012924681,3.054406e-7,0.00010519772,0.000025430469],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.996681,0.0004777691,0.0005489425,0.0010542378,0.0007149724,0.00052311085],"domain_scores_gemma":[0.99702203,0.00027994043,0.0006619921,0.0017737688,0.00011965252,0.00014260359],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002936734,0.0004804982,0.0004886418,0.00018883563,0.00041133468,0.00013308116,0.0013885499,0.00031746834,0.00027385177],"category_scores_gemma":[0.0011036514,0.00039776048,0.00031191474,0.0008354468,0.00031544108,0.00006672308,0.001907667,0.0019799261,0.00001579718],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046113084,0.00009867273,0.0019129472,0.00014063128,0.000022558255,0.000010612704,0.000013769871,0.0015913476,0.9942198,0.001814992,0.00012561452,0.0000029715034],"study_design_scores_gemma":[0.0004093235,0.0000918945,0.10605404,0.00014912261,0.000063581516,6.585147e-8,0.0000044972094,0.010338636,0.87834203,0.00003990201,0.0037515357,0.0007553902],"about_ca_topic_score_codex":0.000062432024,"about_ca_topic_score_gemma":0.0000019229667,"teacher_disagreement_score":0.115877755,"about_ca_system_score_codex":0.00020595756,"about_ca_system_score_gemma":0.0002278252,"threshold_uncertainty_score":0.9998474},"labels":[],"label_agreement":null},{"id":"W4281829041","doi":"10.1101/2022.06.01.494224","title":"Inter-regional delays fluctuate in the human cerebral cortex","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Alfred P. Sloan Foundation","keywords":"Neuroscience; Latency (audio); Lag; Local field potential; Cerebral cortex; Cortex (anatomy); Coupling (piping); Coupling strength; Physics; Human brain; Psychology; Computer science; Telecommunications; Materials science","score_opus":0.03186178952089044,"score_gpt":0.24776147875766108,"score_spread":0.21589968923677064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281829041","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99556863,0.000053148025,0.00016187427,0.0011054813,0.0018709172,0.0007763562,0.00017941756,0.00021584792,0.000068329144],"genre_scores_gemma":[0.9960436,0.000040121107,0.00009022169,0.0030585148,0.0003332317,0.00031405507,9.529556e-7,0.000092598246,0.00002665362],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99634737,0.0005296484,0.0005565654,0.0012974303,0.0006801439,0.00058885204],"domain_scores_gemma":[0.99796736,0.00019230657,0.00037556337,0.0012633692,0.00008232027,0.00011905432],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000720722,0.0005002242,0.00039286795,0.00033385513,0.00047292357,0.00033268024,0.0014682916,0.00023631155,0.0002929013],"category_scores_gemma":[0.00021329423,0.00043616604,0.00020785478,0.00072799437,0.00019246293,0.00017111596,0.0009663306,0.0017763476,0.00005472978],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027622078,0.00021083365,0.0036238842,0.00008015784,0.000015397483,0.00023674566,0.00003198587,0.00017042873,0.98357624,0.010947264,0.0010770317,0.0000023918626],"study_design_scores_gemma":[0.0027734812,0.00064209255,0.7754769,0.0005111174,0.00019940487,0.0000010634424,0.000055393335,0.016688041,0.12758352,0.00040331998,0.07166135,0.0040043085],"about_ca_topic_score_codex":0.000115865456,"about_ca_topic_score_gemma":0.000015279862,"teacher_disagreement_score":0.85599273,"about_ca_system_score_codex":0.00031394517,"about_ca_system_score_gemma":0.00021289679,"threshold_uncertainty_score":0.999809},"labels":[],"label_agreement":null},{"id":"W4281962728","doi":"10.1101/2022.06.01.494420","title":"Precise and stable edge orientation signaling by human first-order tactile neurons","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research; Vetenskapsrådet; Canada Research Chairs","keywords":"Receptive field; Orientation (vector space); Neuron; Neuroscience; Computer science; SIGNAL (programming language); Artificial intelligence; Mathematics; Geometry; Biology","score_opus":0.019607043354449766,"score_gpt":0.2343526570977595,"score_spread":0.21474561374330972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281962728","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99651545,0.00013829417,0.00035228723,0.00018866186,0.001398028,0.00081613753,0.00034471843,0.0002158686,0.00003055878],"genre_scores_gemma":[0.99878263,0.00016395263,0.00020595739,0.0002713392,0.000112379596,0.00030498818,0.0000013604173,0.00010458465,0.000052781925],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9970782,0.0002243892,0.0004459968,0.001345183,0.00042119526,0.00048503745],"domain_scores_gemma":[0.99856687,0.00019349957,0.0003362249,0.0006435167,0.000095800184,0.00016406657],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00035678537,0.0004054119,0.00035268295,0.00027468448,0.0005396082,0.00032657658,0.00037189317,0.00019593927,0.0002167684],"category_scores_gemma":[0.00036334406,0.00047454538,0.00006404324,0.0007097271,0.000087962224,0.0003097253,0.00060641725,0.00091310526,0.000009681662],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024139832,0.00014889978,0.0035257011,0.00014169494,0.0000063758885,0.000036697667,0.00001523682,0.0008112095,0.9943989,0.0004323238,0.00045728462,0.0000015302567],"study_design_scores_gemma":[0.0013810806,0.00026789558,0.028677331,0.00022624135,0.0000865266,7.5945636e-8,0.000013381644,0.011832699,0.9254723,0.000030012226,0.03040321,0.0016092433],"about_ca_topic_score_codex":0.00013462383,"about_ca_topic_score_gemma":0.000009778766,"teacher_disagreement_score":0.0689266,"about_ca_system_score_codex":0.00025550398,"about_ca_system_score_gemma":0.00014056386,"threshold_uncertainty_score":0.99977064},"labels":[],"label_agreement":null},{"id":"W4281988724","doi":"10.1101/2022.05.27.493754","title":"Connecting Covert Attention and Visual Perception to the Spatiotemporal Dynamics of Alpha Band Activity, Cross-Frequency Coupling (CFC), and Functional Connectivity using Multivariate Pattern Analysis (MVPA)","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Covert; Cued speech; Electroencephalography; Alpha (finance); Perception; Psychology; Stimulus (psychology); Neuroscience; Pattern recognition (psychology); Speech recognition; Cognitive psychology; Communication; Computer science; Developmental psychology","score_opus":0.030863027603930962,"score_gpt":0.2793375005252189,"score_spread":0.24847447292128794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281988724","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9041328,0.000025469146,0.09321892,0.00021815697,0.0010035837,0.0007166352,0.00058439525,0.00009879005,0.0000012647888],"genre_scores_gemma":[0.9993198,0.000038683218,0.00023836293,0.00012046997,0.00016547884,0.000041331095,0.0000038780167,0.000069775655,0.0000022529987],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99675584,0.0003196661,0.00054079416,0.0013763867,0.000614933,0.00039241053],"domain_scores_gemma":[0.99785775,0.00040652527,0.00079624203,0.0005025044,0.0002775162,0.00015947958],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011428252,0.00047080067,0.00060090946,0.00047521718,0.00092682836,0.0004458797,0.00021707545,0.00026257875,0.0000646587],"category_scores_gemma":[0.00059394515,0.0004613703,0.00019775738,0.0009624132,0.00015599198,0.0004000598,0.00076176476,0.0007825239,0.0000013452352],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009343047,0.00011325562,0.14408436,0.00013581311,0.00013916158,0.00000820672,0.000022859453,0.013966882,0.8413166,0.00007748096,9.355687e-7,0.00004102924],"study_design_scores_gemma":[0.00031889437,0.000077959216,0.5145594,0.000049423743,0.000246039,1.5045507e-7,0.000013203071,0.46811453,0.016280992,0.0000039087645,0.000003847348,0.0003316607],"about_ca_topic_score_codex":0.0016149331,"about_ca_topic_score_gemma":0.0002016356,"teacher_disagreement_score":0.8250356,"about_ca_system_score_codex":0.0005026674,"about_ca_system_score_gemma":0.0001514711,"threshold_uncertainty_score":0.9997838},"labels":[],"label_agreement":null},{"id":"W4282013083","doi":"10.1101/2022.06.06.495037","title":"Feedforward attentional selection in sensory cortex","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Eye Institute; National Institutes of Health; Vanderbilt University","keywords":"Sensory system; Stimulus (psychology); Neuroscience; Psychology; Sensory cortex; Feed forward; Surround suppression; Cognitive psychology; Cortex (anatomy); Sensory memory; Cognition; Working memory; Perception; Visual perception","score_opus":0.023077875151662774,"score_gpt":0.2344413800858355,"score_spread":0.21136350493417275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282013083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953585,0.000050871226,0.00034837428,0.00030534813,0.0025975949,0.0006637041,0.00024724632,0.00037540053,0.000052939737],"genre_scores_gemma":[0.99822044,0.000113553586,0.00026316076,0.0006335293,0.00032003128,0.00023733775,5.494346e-7,0.000103156446,0.00010825478],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99651915,0.0003327398,0.0005334367,0.001403607,0.00066454755,0.0005465393],"domain_scores_gemma":[0.9987279,0.00012681833,0.0003774428,0.00049264927,0.00012312339,0.00015204727],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00049184187,0.0004431306,0.00040312845,0.00052918284,0.00030691706,0.00019427635,0.00045651838,0.00030617949,0.00041608102],"category_scores_gemma":[0.0003410284,0.00052052404,0.00018367598,0.0009218365,0.00009221661,0.00019570965,0.00058733247,0.0014407684,0.000088060224],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004543144,0.00013137657,0.0077062813,0.00009866691,0.0000129306345,0.00008254136,0.000003041068,0.0011330596,0.9883898,0.0022044056,0.00019072254,0.0000017300048],"study_design_scores_gemma":[0.0011469916,0.000192533,0.6834559,0.00018659882,0.000074697215,2.6283772e-7,0.0000057509537,0.025589453,0.27377743,0.000047947102,0.01381568,0.0017067496],"about_ca_topic_score_codex":0.000057843914,"about_ca_topic_score_gemma":0.0000073825136,"teacher_disagreement_score":0.71461236,"about_ca_system_score_codex":0.0006665684,"about_ca_system_score_gemma":0.00038014152,"threshold_uncertainty_score":0.9997246},"labels":[],"label_agreement":null},{"id":"W4282823303","doi":"10.1101/2022.06.10.495710","title":"Off-manifold coding in visual cortex revealed by sleep","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute on Drug Abuse; Leon Levy Foundation; Whitehall Foundation; Feldstein Medical Foundation; Brain and Behavior Research Foundation","keywords":"Visual cortex; Stimulus (psychology); Neuroscience; Separable space; Manifold (fluid mechanics); Subspace topology; Coding (social sciences); Neural coding; Psychology; Communication; Computer science; Artificial intelligence; Cognitive psychology; Mathematics; Mathematical analysis","score_opus":0.015843168061110663,"score_gpt":0.23627738830165224,"score_spread":0.22043422024054157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282823303","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942436,0.000276884,0.00019692353,0.00029978593,0.0030819695,0.0009802175,0.00042099576,0.0004364897,0.000063096566],"genre_scores_gemma":[0.99751353,0.0004677557,0.00011059502,0.0011629112,0.00023017042,0.0002867386,0.0000011221285,0.00016408441,0.000063107866],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99544066,0.0004192857,0.0007689199,0.0018293919,0.00074965047,0.0007920931],"domain_scores_gemma":[0.9978738,0.00024379759,0.00055974344,0.0009782866,0.00010039654,0.00024400004],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007244082,0.00063506543,0.0006604762,0.000451949,0.00032839456,0.0002937323,0.0008720648,0.00038637038,0.00031484393],"category_scores_gemma":[0.00062221946,0.0007384166,0.00018679845,0.0010458902,0.00008868011,0.00023332733,0.0011392253,0.001683616,0.00007031367],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005404148,0.00023528692,0.0053506866,0.00014799729,0.0000145962795,0.00022162661,0.000005246664,0.00011612875,0.9916539,0.0013983544,0.00079744845,0.0000046453415],"study_design_scores_gemma":[0.0030503117,0.00057980703,0.22190025,0.0006857839,0.000172615,2.6151e-7,0.000014128464,0.060682923,0.66176057,0.000025964267,0.04670005,0.0044273445],"about_ca_topic_score_codex":0.00006987132,"about_ca_topic_score_gemma":0.000005395771,"teacher_disagreement_score":0.32989338,"about_ca_system_score_codex":0.00063705735,"about_ca_system_score_gemma":0.00024337658,"threshold_uncertainty_score":0.9995067},"labels":[],"label_agreement":null},{"id":"W4282826100","doi":"10.1101/2022.06.10.495595","title":"Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformers","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; Canadian Institute for Advanced Research; McKnight Foundation; Alfred P. Sloan Foundation; National Institutes of Health; National Science Foundation","keywords":"Computer science; Population; Decoding methods; Transfer of learning; Architecture; Artificial intelligence; Sight; Transformer; Biological neuron model; Theoretical computer science; Machine learning; Artificial neural network; Algorithm; Geography; Engineering","score_opus":0.015281942947222038,"score_gpt":0.2260996494274213,"score_spread":0.21081770648019926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282826100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946182,0.00016514034,0.002311072,0.0009650146,0.0002878555,0.0012084063,0.00032765864,0.00006185408,0.000054843564],"genre_scores_gemma":[0.9988167,0.00026308288,0.00035771247,0.0002145417,0.000042994667,0.00024048676,3.0320408e-7,0.000050533723,0.000013600064],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99798024,0.00032899136,0.00031146005,0.0006743246,0.0004340456,0.00027097095],"domain_scores_gemma":[0.99827427,0.00077759667,0.00035368354,0.00044282767,0.000079621495,0.00007201486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006935253,0.00028598146,0.00032493242,0.00015796084,0.0007788595,0.00023207894,0.0003640655,0.000102150625,0.0000062362997],"category_scores_gemma":[0.00030420997,0.00018377868,0.000072080955,0.00068005256,0.0007255809,0.00014153995,0.00039049363,0.0007160011,1.4002781e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022208078,0.00039697904,0.12186188,0.0010696446,0.0008875658,0.00012283084,0.0017232663,0.014334009,0.7121139,0.14491911,0.00020231746,0.00014765716],"study_design_scores_gemma":[0.0072318106,0.0007065159,0.70568746,0.0005008579,0.0012814085,0.0000017374977,0.00052891864,0.21292043,0.06803419,0.00053792034,0.0007258204,0.0018429111],"about_ca_topic_score_codex":0.00013179185,"about_ca_topic_score_gemma":0.000072244606,"teacher_disagreement_score":0.64407974,"about_ca_system_score_codex":0.0001306061,"about_ca_system_score_gemma":0.00027213217,"threshold_uncertainty_score":0.74942774},"labels":[],"label_agreement":null},{"id":"W4282931189","doi":"10.7554/elife.77470.sa2","title":"Author response: Intrinsic excitability mechanisms of neuronal ensemble formation","year":2022,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Neuroscience; Psychology; Chemistry; Physics","score_opus":0.06763822056930165,"score_gpt":0.31489022037165426,"score_spread":0.24725199980235263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282931189","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06702592,0.0025326596,0.058767,0.7400445,0.06403508,0.013497515,0.006871872,0.0016281774,0.045597296],"genre_scores_gemma":[0.1079404,0.0008136003,0.00053090404,0.022512827,0.00020878881,0.00038469158,0.0006777145,0.00012715628,0.86680394],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9960671,0.0011223404,0.0007567148,0.0006834921,0.0010707948,0.00029954666],"domain_scores_gemma":[0.9975904,0.000987604,0.00053423893,0.00066859514,0.00013416231,0.000084980995],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015997919,0.00030350086,0.0005515254,0.0002253987,0.00019683984,0.000033697364,0.00048198987,0.00013947824,0.0048158867],"category_scores_gemma":[0.0029431812,0.00026737998,0.00028026788,0.0005919154,0.00006559003,0.00022561925,0.0003994352,0.0006307821,0.000049592207],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000522504,0.00016892982,3.5049766e-7,0.0027274685,0.0000061781984,0.000015977856,0.000028008735,0.000023736771,0.20430453,0.015497898,0.7587677,0.017936684],"study_design_scores_gemma":[0.00021883023,0.0006213995,0.00012385356,0.00021570393,0.000056404326,0.00006973738,0.000010700534,0.0012241954,0.024606805,0.00934482,0.96315116,0.0003564132],"about_ca_topic_score_codex":0.000032188174,"about_ca_topic_score_gemma":0.000019376987,"teacher_disagreement_score":0.8212066,"about_ca_system_score_codex":0.00017516232,"about_ca_system_score_gemma":0.00019122013,"threshold_uncertainty_score":0.9999778},"labels":[],"label_agreement":null},{"id":"W4282933246","doi":"10.1146/annurev-vision-100720-031711","title":"Visual Attention in the Prefrontal Cortex","year":2022,"lang":"en","type":"review","venue":"Annual Review of Vision Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research","keywords":"Prefrontal cortex; Neuroscience; Psychology; Cognitive psychology; N2pc; Visual processing; Sulcus; Visual cortex; Visual perception; Perception; Cognition","score_opus":0.05447255718451113,"score_gpt":0.42124971978728865,"score_spread":0.3667771626027775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282933246","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00007052483,0.99567753,0.000007835067,0.00010134337,0.0008708861,0.0013321313,0.000070678885,0.000014755881,0.0018543184],"genre_scores_gemma":[0.00018030357,0.9984295,0.000009451759,0.001061749,0.000046953985,0.00010031161,0.000020447063,0.000014539187,0.00013678387],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99520546,0.00080422824,0.0009691886,0.00086465996,0.0018135804,0.00034290145],"domain_scores_gemma":[0.9978144,0.00071991904,0.0007685109,0.0005703763,0.00006436135,0.00006243523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038685128,0.00027697827,0.0009527241,0.00031947717,0.00030959802,0.000069146736,0.0017934069,0.00005454442,0.00022390783],"category_scores_gemma":[0.0020968732,0.00015851182,0.00041837027,0.0035911554,0.00048226677,0.00056029623,0.00051609107,0.00051330373,0.000066207416],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016563232,0.000101454025,3.5250494e-7,0.012673245,7.0602493e-7,0.000012594521,0.000026229305,8.171877e-8,0.00020809949,0.00056911435,0.00040148426,0.986005],"study_design_scores_gemma":[0.000044800487,0.00029823286,0.00010572326,0.023668183,0.000051048875,0.00010311141,0.00003499109,0.000045662386,0.0000021459186,0.000024859128,0.9754477,0.000173509],"about_ca_topic_score_codex":0.000010149414,"about_ca_topic_score_gemma":0.0000018081026,"teacher_disagreement_score":0.9858315,"about_ca_system_score_codex":0.00013025501,"about_ca_system_score_gemma":0.00032516208,"threshold_uncertainty_score":0.64639246},"labels":[],"label_agreement":null},{"id":"W4282942329","doi":"10.21203/rs.3.rs-1761381/v1","title":"Intrinsic neural timescales mediate the cognitive bias of self – Temporal integration in default-mode network","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Default mode network; Cognition; Operationalization; Cognitive psychology; Psychology; Neuroscience; Physics","score_opus":0.11137056506224738,"score_gpt":0.3907100407133251,"score_spread":0.27933947565107775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282942329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941635,0.00020660159,0.000057402132,0.0016001067,0.00080031686,0.001888047,0.00026795207,0.000082196464,0.00093384954],"genre_scores_gemma":[0.9982183,0.0004024866,0.000027794067,0.00014755668,0.00028558343,0.0003921089,0.0002459855,0.000041970645,0.00023822337],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9931886,0.0032789886,0.00055805175,0.0008024552,0.0015297662,0.00064212363],"domain_scores_gemma":[0.9953665,0.0034291367,0.00027379938,0.00051642064,0.00031818284,0.0000959415],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0024649233,0.0002709397,0.00037355465,0.00044720818,0.0003780916,0.00015554448,0.0007684009,0.00019128073,0.00016184773],"category_scores_gemma":[0.0032078417,0.00019365297,0.00018226421,0.0014388957,0.00034883135,0.00013398512,0.0018833795,0.0031797828,0.000020860629],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008219334,0.005071884,0.21029992,0.004995083,0.0002855084,0.0019207114,0.027210958,0.282792,0.05239241,0.034468714,0.021165818,0.35117766],"study_design_scores_gemma":[0.00204433,0.0020240482,0.13145863,0.0021053483,0.000066643384,0.00004137037,0.0038060746,0.80523366,0.009789345,0.040081717,0.0021288618,0.0012199857],"about_ca_topic_score_codex":0.0007813211,"about_ca_topic_score_gemma":0.0008523484,"teacher_disagreement_score":0.5224417,"about_ca_system_score_codex":0.00025387155,"about_ca_system_score_gemma":0.00032015258,"threshold_uncertainty_score":0.99911994},"labels":[],"label_agreement":null},{"id":"W4282946392","doi":"10.1093/cercor/bhac194","title":"Saccades and presaccadic stimulus repetition alter cortical network topology and dynamics: evidence from EEG and graph theoretical analysis","year":2022,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto; York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Saccade; Neuroscience; Psychology; Stimulus (psychology); Fixation (population genetics); Frontal eye fields; Electroencephalography; Eye movement; Posterior parietal cortex; Parietal lobe; Supramarginal gyrus; Prefrontal cortex; Cognitive psychology; Cognition; Functional magnetic resonance imaging; Biology","score_opus":0.01439120277222162,"score_gpt":0.25213934015471495,"score_spread":0.23774813738249334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282946392","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955276,0.00034064372,0.0019089361,0.0014891187,0.00026477614,0.00020606336,0.000070742775,0.000054515163,0.00013756774],"genre_scores_gemma":[0.9981997,0.0002841801,0.00012909614,0.0011462402,0.00006787965,0.000024265915,0.00002914136,0.000014342128,0.000105170664],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99798155,0.00042659836,0.00026398912,0.00077090797,0.00023907106,0.00031790673],"domain_scores_gemma":[0.99854845,0.00094228133,0.00009432462,0.0002379303,0.000018785277,0.00015820813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025044143,0.00017292071,0.00028409387,0.00012047059,0.0005768106,0.0001150594,0.00013199622,0.00007308781,0.0005919495],"category_scores_gemma":[0.00028990288,0.00015702345,0.00006473963,0.00044813787,0.0007520888,0.0001923775,0.00038799082,0.0004000109,0.0000019943257],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011732267,0.00015542851,0.44010204,0.00005302581,0.00023746918,0.00021082707,0.0004513441,0.0014999604,0.06675215,0.47548777,0.0005789771,0.013297771],"study_design_scores_gemma":[0.00039908328,0.00054060883,0.48127255,0.000016653477,0.00041321316,0.00010802803,0.000094738876,0.4354754,0.0001933129,0.081153326,0.0000448447,0.0002882275],"about_ca_topic_score_codex":0.00010100691,"about_ca_topic_score_gemma":0.000105976455,"teacher_disagreement_score":0.43397546,"about_ca_system_score_codex":0.000040058545,"about_ca_system_score_gemma":0.00001468689,"threshold_uncertainty_score":0.6481432},"labels":[],"label_agreement":null},{"id":"W4282961344","doi":"10.1093/cercor/bhac231","title":"Sensory experience selectively reorganizes the late component of evoked responses","year":2022,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Krembil Foundation; University of Lethbridge","funders":"Canadian Institutes of Health Research; Alberta Innovates; Natural Sciences and Engineering Research Council of Canada; Alzheimer Society","keywords":"Neuroscience; Sensory system; Component (thermodynamics); Psychology","score_opus":0.034303740468608894,"score_gpt":0.26012663023608984,"score_spread":0.22582288976748094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282961344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99754393,0.000019312769,0.000018553432,0.0007440839,0.0004929114,0.00022736633,0.000043080847,0.00006482161,0.00084593805],"genre_scores_gemma":[0.99313223,0.000008555883,0.000012377982,0.0009294141,0.000027030714,0.000027773198,0.000002426148,0.00001656354,0.0058436287],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984859,0.00043015694,0.00020899801,0.0002899456,0.00037352095,0.00021145352],"domain_scores_gemma":[0.9991255,0.00037427552,0.00014806211,0.00027405928,0.00003803627,0.000040095238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017422027,0.00011368612,0.00013675519,0.00006213874,0.00057333306,0.000025280518,0.0003441581,0.000018986855,0.000368498],"category_scores_gemma":[0.00026942964,0.000084714484,0.00006516855,0.00045347173,0.00018640872,0.00009156975,0.00025103395,0.0002377844,0.00001385539],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025833535,0.000050389262,0.0014773444,0.0000038971234,0.000003044414,0.000010849538,0.0008676707,0.00008353412,0.9943009,0.0023391817,0.00025585887,0.00034899998],"study_design_scores_gemma":[0.0007550867,0.0007906344,0.22027683,0.000009405714,0.000020205569,0.00020777354,0.0018030418,0.010129568,0.7565897,0.002668005,0.0063567325,0.0003930029],"about_ca_topic_score_codex":0.00004281405,"about_ca_topic_score_gemma":0.000004095922,"teacher_disagreement_score":0.23771118,"about_ca_system_score_codex":0.00005863089,"about_ca_system_score_gemma":0.000045258937,"threshold_uncertainty_score":0.44096723},"labels":[],"label_agreement":null},{"id":"W4283017323","doi":"10.1101/2022.06.14.494674","title":"Distinct trajectories in low-dimensional neural oscillation state space track dynamic decision-making in humans","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute; Université de Montréal","funders":"","keywords":"Magnetoencephalography; Representation (politics); Computer science; Sensory system; Action (physics); Balance (ability); Neuroscience; Dynamic functional connectivity; Cognitive psychology; Psychology; Electroencephalography; Physics; Functional connectivity","score_opus":0.014542776593851843,"score_gpt":0.2471608823217092,"score_spread":0.23261810572785738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283017323","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943532,0.00011080332,0.00034007934,0.0001803225,0.0035669913,0.00090682856,0.00029052375,0.00024315491,0.00000813339],"genre_scores_gemma":[0.99890274,0.000051181567,0.000461793,0.00019406063,0.00009513823,0.00015207779,0.0000011133706,0.00013074552,0.000011125668],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9952565,0.0004375118,0.00090116047,0.001769722,0.0008877564,0.00074736256],"domain_scores_gemma":[0.9976343,0.0007210471,0.00051764277,0.00088000466,0.000110036584,0.00013698825],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00075373537,0.00063747197,0.0006214562,0.0008144218,0.00031606967,0.00028464315,0.0006182524,0.00026556916,0.00012980416],"category_scores_gemma":[0.0011068723,0.00070366217,0.00015958381,0.0014193584,0.0001455667,0.00036562042,0.0007129484,0.0016050095,0.000017316946],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049894775,0.00052600115,0.07830387,0.00037352403,0.000016680087,0.0009712116,0.000095207084,0.11001892,0.80837166,0.00073625235,0.00004308875,0.00004466527],"study_design_scores_gemma":[0.0007940908,0.00010144078,0.8594632,0.0006407958,0.000018628614,9.913577e-8,0.0000060117427,0.13204637,0.0055516814,0.00013269304,0.00017838593,0.0010665824],"about_ca_topic_score_codex":0.00008481108,"about_ca_topic_score_gemma":0.00026939172,"teacher_disagreement_score":0.80281997,"about_ca_system_score_codex":0.0010609364,"about_ca_system_score_gemma":0.00036038124,"threshold_uncertainty_score":0.99954146},"labels":[],"label_agreement":null},{"id":"W4283158739","doi":"10.1016/j.biosystems.2022.104729","title":"Phase offset determines alpha modulation of gamma phase coherence and hence signal transmission","year":2022,"lang":"en","type":"article","venue":"Biosystems","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Coherence (philosophical gambling strategy); Offset (computer science); Phase coherence; Phase (matter); Sine; Physics; Transmission (telecommunications); Sine wave; Modulation (music); Coherence time; Phase modulation; Optics; Algorithm; Statistical physics; Computer science; Mathematics; Acoustics; Quantum mechanics; Telecommunications; Geometry; Condensed matter physics","score_opus":0.03869253608972956,"score_gpt":0.2870552066449572,"score_spread":0.24836267055522765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283158739","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996172,0.0000718502,0.002862975,0.00007043781,0.00025670626,0.00035737385,0.00011017139,0.000033225326,0.000065245185],"genre_scores_gemma":[0.99966055,0.000012022183,0.00004164058,0.00006313184,0.000037144422,0.000027187372,0.000014768449,0.000008868701,0.00013466428],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989315,0.000114816954,0.0002487745,0.00029389444,0.00028523515,0.00012573476],"domain_scores_gemma":[0.99957556,0.0000673045,0.00014110854,0.00012530516,0.000023825407,0.000066888504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014346698,0.00009748838,0.00014822253,0.00007837568,0.00018447604,0.000022232249,0.000092944596,0.000025908745,0.000056787245],"category_scores_gemma":[0.00002029235,0.000086759224,0.000042288022,0.0002195867,0.000044699536,0.000119714976,0.000036573838,0.00007251601,0.0000014740448],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001823293,0.00028521314,0.00016729897,0.00006671917,0.0000015017803,0.000013923755,0.000063035855,0.00005862641,0.94793075,0.00009486928,0.000052753927,0.051082995],"study_design_scores_gemma":[0.0031016653,0.0021512122,0.0002799289,0.000053991036,0.0000147321825,0.00018821421,0.000036757454,0.5607579,0.4297057,0.0001383743,0.0033999388,0.00017161555],"about_ca_topic_score_codex":0.000019991758,"about_ca_topic_score_gemma":7.3174823e-7,"teacher_disagreement_score":0.5606992,"about_ca_system_score_codex":0.00002226251,"about_ca_system_score_gemma":0.000025465644,"threshold_uncertainty_score":0.35379383},"labels":[],"label_agreement":null},{"id":"W4283259549","doi":"10.1038/s42256-022-00498-0","title":"Gradient-based learning drives robust representations in recurrent neural networks by balancing compression and expansion","year":2022,"lang":"en","type":"article","venue":"Nature Machine Intelligence","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"Fonds de Recherche du Québec - Santé; Fonds de recherche du Québec – Nature et technologies; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Recurrent neural network; Curse of dimensionality; Computer science; Gradient descent; Chaotic; Artificial intelligence; Artificial neural network; Generalization; Machine learning; Mathematics","score_opus":0.014088740659743757,"score_gpt":0.27536614395041625,"score_spread":0.2612774032906725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283259549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9598301,0.0013711525,0.03537069,0.0012008363,0.0015194655,0.000415516,0.00002805361,0.00012316466,0.00014102018],"genre_scores_gemma":[0.99880373,0.00010941201,0.00012666997,0.00070867245,0.000034366105,0.000036110458,0.000072454,0.00001757716,0.00009099718],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981848,0.00037979803,0.00026059672,0.0005762343,0.0003349219,0.00026363853],"domain_scores_gemma":[0.9991658,0.0004413862,0.00013119943,0.00016981641,0.000020354268,0.00007146936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002256006,0.00016506661,0.00014864653,0.00016000417,0.00053998525,0.00006164747,0.0002239421,0.00007414321,0.00006576621],"category_scores_gemma":[0.00035717688,0.00015165904,0.000045589066,0.00058469235,0.00006125911,0.00013261427,0.00022540812,0.0018529973,7.886546e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009774118,0.00010984256,0.0146512445,0.000011913099,0.0000010987749,0.000030148225,0.00015303327,0.8927923,0.047417004,0.00039758164,0.00033647637,0.04400165],"study_design_scores_gemma":[0.00014524521,0.00015899717,0.0023640948,0.000026058644,0.0000036735325,0.000023620289,0.00008747516,0.9888196,0.007345145,0.00012905986,0.00073674077,0.00016026251],"about_ca_topic_score_codex":0.00007785956,"about_ca_topic_score_gemma":0.00003571182,"teacher_disagreement_score":0.09602736,"about_ca_system_score_codex":0.00006894498,"about_ca_system_score_gemma":0.0000107957185,"threshold_uncertainty_score":0.8050454},"labels":[],"label_agreement":null},{"id":"W4283583520","doi":"10.1073/pnas.2115229119","title":"Learning in deep neural networks and brains with similarity-weighted interleaved learning","year":2022,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"National Institute of Neurological Disorders and Stroke; Defense Advanced Research Projects Agency; National Institutes of Health","keywords":"Interleaving; Computer science; MNIST database; Artificial intelligence; Similarity (geometry); Artificial neural network; Speedup; Deep learning; ENCODE; Machine learning","score_opus":0.027954607065848135,"score_gpt":0.2628016375285744,"score_spread":0.23484703046272626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283583520","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962726,0.00001891514,0.000006055983,0.002434235,0.000020736717,0.00012706648,0.000001165251,0.000016119608,0.0011030998],"genre_scores_gemma":[0.9991569,0.000010046767,0.000074013544,0.0005903443,0.00002150427,0.00001003696,1.0701183e-7,0.0000048062952,0.00013226483],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99853957,0.000039215218,0.00020459286,0.00029399124,0.000759577,0.00016303071],"domain_scores_gemma":[0.99935234,0.00027010153,0.00029967722,0.00000452678,0.0000493679,0.00002399601],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000925023,0.000081678045,0.00011610011,0.00018716726,0.00055895525,0.000038727954,0.0004071432,0.000030325611,0.000010976821],"category_scores_gemma":[0.00055857905,0.000056495486,0.00002866139,0.0011350757,0.0004842722,0.00035190515,0.000294041,0.0006569081,6.501119e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017439938,0.00009005704,0.11817509,0.000043931006,0.0000058414976,1.8476486e-7,0.0009656688,0.23521093,0.61231774,0.028504983,0.000029720111,0.0044814367],"study_design_scores_gemma":[0.00025440697,0.0002944491,0.053619165,0.000020334486,0.0000036390782,0.000036663998,0.00051313307,0.9288356,0.012239446,0.0039996384,0.000091752285,0.000091808746],"about_ca_topic_score_codex":0.0000049236273,"about_ca_topic_score_gemma":3.6425715e-7,"teacher_disagreement_score":0.6936246,"about_ca_system_score_codex":0.000033553708,"about_ca_system_score_gemma":0.000009674625,"threshold_uncertainty_score":0.42990884},"labels":[],"label_agreement":null},{"id":"W4283770692","doi":"10.1016/j.cub.2022.06.015","title":"A corollary discharge mediates saccade-related inhibition of single units in mnemonic structures of the human brain","year":2022,"lang":"en","type":"article","venue":"Current Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Brain Institute; Toronto Western Hospital; Toronto Rehabilitation Institute; University Health Network; University of Toronto; University of Calgary","funders":"","keywords":"Saccade; Neuroscience; Corollary; Biology; Inhibitory postsynaptic potential; Premovement neuronal activity; Population; Mnemonic; Temporal lobe; Psychology; Eye movement; Cognitive psychology","score_opus":0.044567889831081876,"score_gpt":0.28287670313442587,"score_spread":0.238308813303344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283770692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99786896,0.0001883667,0.0000024935723,0.0005392638,0.000992136,0.00019589026,0.00013850935,0.000015434422,0.00005893912],"genre_scores_gemma":[0.9997702,0.000016383092,5.785552e-7,0.000098800425,0.000013883407,0.000010656146,0.000060646962,0.00000610696,0.00002274558],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988638,0.00040969872,0.00028202077,0.00020190114,0.00010088674,0.00014166954],"domain_scores_gemma":[0.99943197,0.0001763854,0.00022492453,0.00013533221,0.000015604082,0.000015790727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014132669,0.00008040578,0.00014291417,0.00011252867,0.000112602705,0.0000028465938,0.00017512678,0.000041851763,0.00006687475],"category_scores_gemma":[0.00025962488,0.000057253772,0.00004257986,0.0005955907,0.00018016122,0.00003277788,0.00021251586,0.00025491448,5.4685444e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013399805,0.000085221,0.009324754,0.000014536352,0.0000014912762,4.5172715e-7,0.00013381525,0.00009920971,0.9697211,0.019583017,0.00011830789,0.00090469286],"study_design_scores_gemma":[0.0023222528,0.0011993612,0.110216446,0.00007638151,0.000022878448,0.000032522075,0.00018897085,0.0027278992,0.79914874,0.08068867,0.0030087756,0.00036711083],"about_ca_topic_score_codex":0.000017632054,"about_ca_topic_score_gemma":0.00002081096,"teacher_disagreement_score":0.17057237,"about_ca_system_score_codex":0.000033533186,"about_ca_system_score_gemma":0.00002865477,"threshold_uncertainty_score":0.2334741},"labels":[],"label_agreement":null},{"id":"W4283771488","doi":"10.1101/2022.06.30.498324","title":"Rhythmic information sampling in the brain during visual recognition","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Stimulus (psychology); Magnetoencephalography; Rhythm; Visual cortex; Snapshot (computer storage); Psychology; Visual perception; Perception; Neuroscience; Visual processing; Electroencephalography; Computer science; Cognitive psychology; Physics","score_opus":0.02847439346768067,"score_gpt":0.24777307159552417,"score_spread":0.2192986781278435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283771488","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957589,0.000026108075,0.00047558977,0.0007977964,0.001495784,0.0009844011,0.00019454338,0.00024243191,0.000024459336],"genre_scores_gemma":[0.99706936,0.000087525426,0.0001895716,0.0018879394,0.0002710528,0.0004394113,0.0000019735605,0.00005046551,0.0000027079695],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99720937,0.0004469177,0.0005986369,0.00067230617,0.000603958,0.00046881195],"domain_scores_gemma":[0.9984455,0.00031879352,0.000454476,0.00061799405,0.00008824606,0.00007499276],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000983378,0.00036896497,0.00027765773,0.00048364204,0.0004448174,0.00046369852,0.00052725256,0.00022449256,0.00009137342],"category_scores_gemma":[0.0010867193,0.00035083605,0.0001231553,0.00090931763,0.00006144481,0.00064288033,0.0005030236,0.0013649544,0.00008225895],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000742001,0.00009572209,0.00055294414,0.0002641294,0.000007930786,0.00005168244,0.000058414324,0.0009775045,0.99742854,0.00040082049,0.000061620245,0.000026503662],"study_design_scores_gemma":[0.0029811377,0.00038072214,0.43076414,0.00086984783,0.00010731331,0.0000011860461,0.00011447737,0.022928528,0.5197467,0.00014358335,0.018613027,0.0033492837],"about_ca_topic_score_codex":0.000042664833,"about_ca_topic_score_gemma":0.000003051661,"teacher_disagreement_score":0.4776818,"about_ca_system_score_codex":0.00037279824,"about_ca_system_score_gemma":0.00017568935,"threshold_uncertainty_score":0.9998944},"labels":[],"label_agreement":null},{"id":"W4283802007","doi":"10.1101/2022.06.29.497821","title":"Adaptive Unscented Kalman Filter for Neuronal State and Parameter Estimation","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Kalman filter; Control theory (sociology); Ensemble Kalman filter; Unscented transform; Robustness (evolution); Computer science; Alpha beta filter; Extended Kalman filter; Invariant extended Kalman filter; Adaptive filter; Fast Kalman filter; Benchmark (surveying); Residual; Kernel adaptive filter; Filter (signal processing); Algorithm; Filter design; Artificial intelligence; Moving horizon estimation; Computer vision","score_opus":0.02973840129191308,"score_gpt":0.23986659454166662,"score_spread":0.21012819324975354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283802007","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97954756,0.000047743386,0.015311082,0.00043736064,0.0017748071,0.0014594167,0.0011981016,0.00021886198,0.000005073686],"genre_scores_gemma":[0.9942266,0.00006787657,0.0039368905,0.0010125411,0.00011051357,0.0004955392,0.0000012459099,0.00010517375,0.000043667533],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973919,0.00019823527,0.00038830723,0.0012150964,0.0003638478,0.00044266024],"domain_scores_gemma":[0.99840415,0.00037090993,0.00036524408,0.00057083723,0.00012543163,0.00016340292],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028625428,0.00042374755,0.00034684155,0.0002177576,0.00032993386,0.00024152551,0.00031957586,0.00014998426,0.00007217678],"category_scores_gemma":[0.00054409594,0.0004488709,0.0001248257,0.00026855685,0.00011976081,0.00020773838,0.00051785534,0.000633824,0.000013419043],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003094486,0.00017336289,0.0005587906,0.00028391334,0.000042863143,0.00003853914,0.0000142264025,0.0031456146,0.9926694,0.0021096172,0.0006181793,0.000036045814],"study_design_scores_gemma":[0.0017321724,0.00067706354,0.05878425,0.00019998694,0.00017320139,1.1791715e-7,0.0000030711255,0.56055254,0.36706778,0.00028924458,0.008767012,0.0017535397],"about_ca_topic_score_codex":0.000011898322,"about_ca_topic_score_gemma":0.0000011668171,"teacher_disagreement_score":0.62560165,"about_ca_system_score_codex":0.00015544555,"about_ca_system_score_gemma":0.00014617662,"threshold_uncertainty_score":0.99979633},"labels":[],"label_agreement":null},{"id":"W4283820620","doi":"10.3389/fnhum.2022.874241","title":"Qualia and Phenomenal Consciousness Arise From the Information Structure of an Electromagnetic Field in the Brain","year":2022,"lang":"en","type":"article","venue":"Frontiers in Human Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Qualia; Consciousness; Physicalism; Cognitive science; Psychology; Neuroscience; Philosophy; Epistemology; Metaphysics","score_opus":0.011008134887088466,"score_gpt":0.23571021319976906,"score_spread":0.2247020783126806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283820620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972696,0.000016253496,0.0003117789,0.0013193478,0.00065319124,0.00029797936,0.000049453647,0.000009857415,0.000072547904],"genre_scores_gemma":[0.9921011,0.0000056322874,0.000051246174,0.007778687,0.000016885497,0.000015749672,0.0000054232105,0.0000039994725,0.00002129353],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998389,0.0004934465,0.0002495986,0.00027388657,0.00038799786,0.00020608956],"domain_scores_gemma":[0.9992808,0.0002814026,0.00013313125,0.00027201467,0.000008009608,0.000024608946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034355288,0.00009736896,0.000111258865,0.00012393315,0.00042667423,0.00010842829,0.00070818816,0.00002213674,0.000018185128],"category_scores_gemma":[0.00035769408,0.000067316294,0.000018177485,0.0006218935,0.00026253719,0.00042614943,0.00013037819,0.0003851788,5.2140937e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010478634,0.000091766946,0.011506998,0.000010638418,5.29686e-7,0.000018907447,0.00641585,0.0027101529,0.96881664,0.0048246277,0.0019470444,0.0035520408],"study_design_scores_gemma":[0.0037827888,0.0054265875,0.43831575,0.000034660457,0.000025575542,0.00019141626,0.011544714,0.35531077,0.042162515,0.13282408,0.009306232,0.0010749329],"about_ca_topic_score_codex":0.00020675256,"about_ca_topic_score_gemma":0.00014122463,"teacher_disagreement_score":0.92665416,"about_ca_system_score_codex":0.000027555656,"about_ca_system_score_gemma":0.000028450373,"threshold_uncertainty_score":0.32816765},"labels":[],"label_agreement":null},{"id":"W4284962724","doi":"10.1016/j.neuron.2022.05.025","title":"Novelty and uncertainty regulate the balance between exploration and exploitation through distinct mechanisms in the human brain","year":2022,"lang":"en","type":"article","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":74,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Novelty; Task (project management); Computer science; Exploit; Search engine indexing; Conflation; Artificial intelligence; Balance (ability); Machine learning; Neuroscience; Psychology; Economics; Social psychology","score_opus":0.05788174992992569,"score_gpt":0.2811737625300489,"score_spread":0.2232920126001232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4284962724","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9836624,0.000007763854,0.0008764251,0.014661986,0.00015121463,0.00038103736,0.000022569177,0.000029343735,0.00020720628],"genre_scores_gemma":[0.99680114,0.000012230394,0.000012852221,0.0029070773,0.00004342978,0.00008312531,0.000017345395,0.000011443862,0.000111355504],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985919,0.0004896878,0.00015637268,0.00033777728,0.0002760488,0.0001482191],"domain_scores_gemma":[0.99917287,0.0005178122,0.00009193389,0.00019369881,0.000007835739,0.00001583565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040422103,0.00010308599,0.000086635155,0.000029459225,0.00071858097,0.0000945796,0.0001693145,0.000018360603,0.000008150563],"category_scores_gemma":[0.00015731131,0.00006760307,0.000018088494,0.00025244348,0.00007588174,0.00028588346,0.00011926378,0.00024459636,8.958377e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007715701,0.000092942115,0.0022544847,0.000028872288,0.0000029479788,0.000025421456,0.0064351414,0.0020382938,0.8461235,0.13177629,0.00095797644,0.010186969],"study_design_scores_gemma":[0.0021772475,0.0017544187,0.41806266,0.000025646368,0.00003852221,0.00010247752,0.0030429119,0.055609662,0.009049449,0.49622864,0.013271742,0.0006366331],"about_ca_topic_score_codex":0.00006324128,"about_ca_topic_score_gemma":0.00005108818,"teacher_disagreement_score":0.83707404,"about_ca_system_score_codex":0.000024570176,"about_ca_system_score_gemma":0.0000063146053,"threshold_uncertainty_score":0.5526817},"labels":[],"label_agreement":null},{"id":"W4285058133","doi":"10.2139/ssrn.4131656","title":"Stable Neural Population Dynamics in the Regression Subspace for Continuous and Categorical Parameters in the Monkey Orbitofrontal Cortex and Hippocampus","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Orbitofrontal cortex; Hippocampus; Categorical variable; Neuroscience; Population; Subspace topology; Psychology; Mathematics; Artificial intelligence; Prefrontal cortex; Statistics; Computer science; Cognition; Sociology; Demography","score_opus":0.012928490541513118,"score_gpt":0.24388365828420258,"score_spread":0.23095516774268945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285058133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99561346,0.0003254274,0.00026124794,0.0031170377,0.00022262361,0.00042412162,0.000006308875,0.0000072228054,0.000022530041],"genre_scores_gemma":[0.99902546,0.00034003763,0.000009667695,0.00044234504,0.000032000247,0.000037046768,0.000010822472,0.000011933822,0.00009067126],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99797094,0.0004731883,0.0002105576,0.00024712156,0.00028598297,0.0008121953],"domain_scores_gemma":[0.9993516,0.000367682,0.00013843784,0.00010555691,0.000010330554,0.000026401516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013855426,0.00012164803,0.00013802922,0.00009559323,0.00052124506,0.000119833276,0.00021655351,0.000034640547,0.0000010697066],"category_scores_gemma":[0.00013485183,0.000073516334,0.000039347895,0.00025995288,0.000044175387,0.00017402318,0.000048823465,0.001363118,1.1049499e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0038092902,0.0010043236,0.24599712,0.000058573765,0.000039827202,0.00033157523,0.005922022,0.008825729,0.022235485,0.5282045,0.00054143084,0.18303011],"study_design_scores_gemma":[0.0026748767,0.0024452237,0.061088387,0.000011915599,0.000037155427,0.006677264,0.021355873,0.54525435,0.000034652225,0.3598536,0.00020647145,0.0003602537],"about_ca_topic_score_codex":0.00046536032,"about_ca_topic_score_gemma":0.0041503003,"teacher_disagreement_score":0.53642863,"about_ca_system_score_codex":0.0006010967,"about_ca_system_score_gemma":0.00009534146,"threshold_uncertainty_score":0.5922145},"labels":[],"label_agreement":null},{"id":"W4285095162","doi":"10.1162/netn_a_00265","title":"FiNN: A toolbox for neurophysiological network analysis","year":2022,"lang":"en","type":"article","venue":"Network Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Toolbox; Neurophysiology; Computer science; Neuroscience; Cognitive science; Psychology; Programming language","score_opus":0.04211533795930173,"score_gpt":0.26364711037739896,"score_spread":0.22153177241809724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285095162","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94419277,0.000078111865,0.035920598,0.002687068,0.011555076,0.0018797405,0.00017407056,0.00070754916,0.0028050216],"genre_scores_gemma":[0.9777872,0.000020704818,0.00030479606,0.01952435,0.00060360756,0.0002714973,0.000011720201,0.000025581752,0.0014505206],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99633926,0.0004323776,0.00035668438,0.0012908678,0.00060542725,0.00097540324],"domain_scores_gemma":[0.9983101,0.00076258724,0.000214961,0.0005273715,0.000031155752,0.00015381776],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004904249,0.00024315638,0.00034116264,0.000120073324,0.0022917485,0.00015391239,0.0009553245,0.000039788243,0.00014385374],"category_scores_gemma":[0.0005111091,0.00022183875,0.00035286078,0.005094442,0.00022108605,0.00018289965,0.00047822695,0.00040929776,0.000009315646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013745273,0.00008526057,0.0007477741,0.0000032212993,0.0000037617588,0.000035164318,0.00001050277,0.8856973,0.09348019,0.009353311,0.008952011,0.0014940547],"study_design_scores_gemma":[0.00037388652,0.0012896184,0.017840628,0.00000212234,0.00010508553,0.00004688964,0.0000062673057,0.82193476,0.00044512507,0.0059831394,0.15150897,0.00046347763],"about_ca_topic_score_codex":0.000004031408,"about_ca_topic_score_gemma":0.0000031077316,"teacher_disagreement_score":0.14255697,"about_ca_system_score_codex":0.000048139616,"about_ca_system_score_gemma":0.00004628791,"threshold_uncertainty_score":0.9990071},"labels":[],"label_agreement":null},{"id":"W4285123649","doi":"10.2139/ssrn.4081702","title":"Transcranial Alternating Current Stimulation (Tacs) Alters Auditory Steady-State Oscillatory Rhythms and Their Cross-Frequency Couplings","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Carleton University; Royal Ottawa Mental Health Centre","funders":"","keywords":"Transcranial alternating current stimulation; Psychology; Audiology; Neuroscience; Transcranial magnetic stimulation; Electroencephalography; Auditory cortex; Stimulation; Medicine","score_opus":0.015247330247632503,"score_gpt":0.26057219928545394,"score_spread":0.24532486903782144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285123649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99042904,0.0008410267,0.0053732214,0.0002687049,0.0027089443,0.00021804999,0.000028327542,0.00006404243,0.000068630434],"genre_scores_gemma":[0.99771756,0.0012870562,0.000008808667,0.00017949901,0.00055270933,0.00001341812,0.0000045970205,0.000039206116,0.0001971689],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99705064,0.00019191665,0.0004106545,0.00045690485,0.00050160324,0.001388304],"domain_scores_gemma":[0.99922854,0.00014787447,0.00031876637,0.00014403561,0.000051765448,0.00010899903],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0013107175,0.00023170625,0.0001910204,0.00016228681,0.0013055571,0.00016476183,0.0002622241,0.000031034917,0.00003603738],"category_scores_gemma":[0.00007941796,0.0002088987,0.0001224794,0.0002167262,0.00010568359,0.00042483938,0.00007611023,0.0022305034,0.000004379512],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046502758,0.00022228099,0.00491317,0.000046060693,0.000063312415,0.000039844726,0.0019107199,0.061900992,0.7882193,0.026527958,0.000040306713,0.11565104],"study_design_scores_gemma":[0.009068267,0.0042284788,0.007479373,0.00009762586,0.00008869859,0.005737787,0.0016931795,0.42335925,0.0072638164,0.5310585,0.007866718,0.0020583493],"about_ca_topic_score_codex":0.000023181266,"about_ca_topic_score_gemma":0.000034763478,"teacher_disagreement_score":0.7809555,"about_ca_system_score_codex":0.0009836365,"about_ca_system_score_gemma":0.00058077835,"threshold_uncertainty_score":0.99999464},"labels":[],"label_agreement":null},{"id":"W4285175911","doi":"10.1007/978-3-319-55065-7_1508","title":"Unconditioned Stimulus","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Psychology","score_opus":0.03443703215178965,"score_gpt":0.2398389303801273,"score_spread":0.20540189822833765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285175911","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00006877379,0.000008336677,0.000070487135,0.00048367714,0.0011435263,0.00018353354,0.00012581653,0.00016531811,0.9977505],"genre_scores_gemma":[0.008684377,0.000060336777,0.000016833927,0.003130273,0.00011038843,0.000010802407,0.000069640024,0.000041860494,0.98787546],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989569,0.000013831477,0.00015649255,0.00042332837,0.00032011626,0.0001293122],"domain_scores_gemma":[0.99946976,0.00013223538,0.000092954426,0.00024166578,0.000012912545,0.000050502324],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000041693518,0.00017256242,0.0001453624,0.00010362022,0.00019881768,0.000033804667,0.00016493216,0.000080496495,0.054459475],"category_scores_gemma":[0.000038636976,0.00015817797,0.000107176136,0.000027119402,0.000049578302,0.00007883629,0.00013038395,0.00032276852,0.0007970428],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010088355,0.000007631433,1.8927199e-7,0.0000056426843,0.00000287104,0.0000654704,0.0000030652825,0.000045583027,0.006768149,0.97936785,0.011398905,0.0023245574],"study_design_scores_gemma":[0.00012493388,0.000112589994,0.000002466889,0.000005125757,0.000012185336,0.000033580774,9.2283847e-7,0.0005383189,0.00073368073,0.08976165,0.90844333,0.00023121662],"about_ca_topic_score_codex":0.000006013127,"about_ca_topic_score_gemma":0.0000057013026,"teacher_disagreement_score":0.8970444,"about_ca_system_score_codex":0.00007750504,"about_ca_system_score_gemma":0.000030514302,"threshold_uncertainty_score":0.9999809},"labels":[],"label_agreement":null},{"id":"W4285283018","doi":"10.2139/ssrn.4103238","title":"Activating Parvalbumin-Expressing Interneurons Produces Iceberg Effects in Mouse Primary Visual Cortex Neurons","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Parvalbumin; Visual cortex; Neuroscience; Iceberg; Cortex (anatomy); Interneuron; Biology; Geography; Inhibitory postsynaptic potential","score_opus":0.010647124101145634,"score_gpt":0.24978738614041676,"score_spread":0.23914026203927113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285283018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973224,0.00012746974,0.0004969135,0.0005165195,0.0007924931,0.00031632994,0.0000033580332,0.00007677137,0.0003477424],"genre_scores_gemma":[0.99680054,0.00018028592,0.000016881502,0.0008155665,0.00018219945,0.000040956053,0.0000037207462,0.00005704185,0.0019027836],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9958204,0.00070670363,0.00038405063,0.0005883415,0.0005522399,0.0019482762],"domain_scores_gemma":[0.99898565,0.0003995382,0.00031459902,0.00019371344,0.000020306374,0.00008619539],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0009785693,0.00023959154,0.00024292234,0.0002865381,0.0007812873,0.00014792637,0.00046098608,0.000035670288,0.000020612048],"category_scores_gemma":[0.0005216413,0.0002338318,0.000115501025,0.0004965208,0.00006128788,0.00047623753,0.00032395168,0.0037420257,0.0000069617968],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001639188,0.00027942102,0.000952886,0.000016475382,0.000009558531,0.00007324488,0.0001487898,0.0009354567,0.9728244,0.0026181678,0.000031682554,0.021945987],"study_design_scores_gemma":[0.011488519,0.014650333,0.040548265,0.00031818487,0.00014878923,0.016139723,0.0042525628,0.07366018,0.75322855,0.07325183,0.0083665205,0.003946546],"about_ca_topic_score_codex":0.000035050376,"about_ca_topic_score_gemma":0.00006596438,"teacher_disagreement_score":0.21959586,"about_ca_system_score_codex":0.0011520454,"about_ca_system_score_gemma":0.00078747707,"threshold_uncertainty_score":0.9985564},"labels":[],"label_agreement":null},{"id":"W4285404394","doi":"10.1016/j.neulet.2022.136804","title":"Activating parvalbumin-expressing interneurons produces iceberg effects in mouse primary visual cortex neurons","year":2022,"lang":"en","type":"article","venue":"Neuroscience Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Parvalbumin; Receptive field; Neuroscience; Biology; Interneuron; Excitatory postsynaptic potential; Stimulus (psychology); Visual cortex; Inhibitory postsynaptic potential; Pyramidal cell; Psychology","score_opus":0.018573220192334757,"score_gpt":0.2557148382993519,"score_spread":0.23714161810701712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285404394","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99283516,0.000004512408,0.00026173104,0.003335783,0.0024996425,0.0006093778,0.000012124271,0.00021393812,0.00022771586],"genre_scores_gemma":[0.9582644,0.00000489956,0.000043029693,0.041018393,0.00008660939,0.00014265509,0.0000032456187,0.000053597883,0.00038315853],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9956306,0.00071225496,0.00039972967,0.001491051,0.00094757613,0.0008187914],"domain_scores_gemma":[0.9985514,0.0006103731,0.0002638299,0.0004297191,0.000011174444,0.00013350284],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034224548,0.00032234183,0.00027315065,0.00039932923,0.0009211581,0.0002705234,0.0008712422,0.000029942901,0.000015370408],"category_scores_gemma":[0.0010360173,0.00033305094,0.00010145485,0.0012864055,0.00032907698,0.0008475061,0.0008147518,0.0009769553,0.000008885392],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051021925,0.00021460628,0.002776107,0.000029176717,4.019661e-7,0.00029467032,0.0001766894,0.0036216008,0.98981494,0.00005722835,0.00029753541,0.0026660378],"study_design_scores_gemma":[0.0009971982,0.00078101247,0.07352104,0.00004195632,0.000008685414,0.00028384465,0.00006713815,0.044017106,0.87506795,0.0000489949,0.0043571596,0.0008079106],"about_ca_topic_score_codex":0.00003529597,"about_ca_topic_score_gemma":0.000004210831,"teacher_disagreement_score":0.11474697,"about_ca_system_score_codex":0.0001910675,"about_ca_system_score_gemma":0.00006461891,"threshold_uncertainty_score":0.99991214},"labels":[],"label_agreement":null},{"id":"W4285404488","doi":"10.1016/j.neuroimage.2022.119440","title":"Evidence suggesting common mechanisms underlie contralateral and ipsilateral negative BOLD responses in the human visual cortex","year":2022,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute on Aging; National Institutes of Health","keywords":"Neuroscience; Stimulus (psychology); Stimulation; Visual cortex; Psychology; Biology; Anatomy; Cognitive psychology","score_opus":0.07157337708669138,"score_gpt":0.3197679765559179,"score_spread":0.2481945994692265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285404488","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971985,0.000013486701,0.000023971115,0.0017453386,0.00025749407,0.0004096165,0.000022909553,0.000063794265,0.00026486223],"genre_scores_gemma":[0.99418336,0.000011203656,0.000018622692,0.0053558396,0.000026524298,0.00004584211,0.00000316952,0.000021161693,0.0003342661],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9972604,0.0012315866,0.00026223116,0.00051427906,0.00039728917,0.00033422947],"domain_scores_gemma":[0.99799126,0.0016123698,0.000121505225,0.00021507803,0.000012449202,0.000047324233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053574535,0.00017494564,0.0001741203,0.00011232192,0.00081425556,0.00021456213,0.00032084048,0.00002547113,0.00005964831],"category_scores_gemma":[0.0004141861,0.00014228665,0.000044584347,0.00032440416,0.00013618935,0.0003359809,0.0002673368,0.0005826402,0.0000036099834],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017414826,0.00007117553,0.0030471724,0.0000077291015,9.673896e-7,0.00050276547,0.00049159233,0.00005918246,0.9905755,0.0044429824,0.000067583795,0.0005591939],"study_design_scores_gemma":[0.0018476561,0.003240483,0.8737051,0.00007915723,0.000029805033,0.0011201261,0.00067200704,0.042514253,0.04966239,0.026243314,0.00021833762,0.0006673738],"about_ca_topic_score_codex":0.00013061696,"about_ca_topic_score_gemma":0.000051730585,"teacher_disagreement_score":0.94091314,"about_ca_system_score_codex":0.000046285233,"about_ca_system_score_gemma":0.00002075468,"threshold_uncertainty_score":0.6262678},"labels":[],"label_agreement":null},{"id":"W4285496461","doi":"10.1101/2022.07.12.499686","title":"Spatiotemporal properties of glutamate input support direction selectivity in the dendrites of retinal starburst amacrine cells","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Amacrine cell; Glutamate receptor; Stimulus (psychology); Kinetics; Retinal; Excitatory postsynaptic potential; Selectivity; Neuroscience; Chemistry; Biophysics; Biological system; Inhibitory postsynaptic potential; Retina; Physics; Biology; Psychology; Biochemistry","score_opus":0.023291060252879317,"score_gpt":0.22159912905329177,"score_spread":0.19830806880041246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285496461","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975028,0.0000805227,0.00005769359,0.00019931087,0.0010155969,0.00081392715,0.00022241779,0.000091845846,0.000015861096],"genre_scores_gemma":[0.99931616,0.00016617969,0.00012481149,0.00010674787,0.00009081282,0.00013051402,3.2753402e-7,0.0000537015,0.0000107684755],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968628,0.0006489679,0.00067012414,0.0007798599,0.0006821019,0.00035612992],"domain_scores_gemma":[0.9981274,0.00012798159,0.00075081154,0.0007408485,0.000196638,0.00005633452],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011077963,0.00035253665,0.000495918,0.00033418433,0.00015356811,0.000078971934,0.00060109847,0.00016156012,0.00005304357],"category_scores_gemma":[0.0004034208,0.00029882442,0.00013872329,0.0009341221,0.0002064127,0.0001765635,0.00045669024,0.0008693613,0.0000029672685],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012434358,0.00028675332,0.010600007,0.0005267543,0.000012028115,0.000026593741,0.000049195456,0.00040170786,0.987756,0.00017332286,0.000039811315,0.0000034684713],"study_design_scores_gemma":[0.00023002333,0.0002098914,0.058825303,0.00014065261,0.00003236524,6.9665234e-8,0.000007857506,0.0018543891,0.9379614,0.0000038797675,0.00044664284,0.0002875174],"about_ca_topic_score_codex":0.00039379013,"about_ca_topic_score_gemma":0.000025879948,"teacher_disagreement_score":0.049794603,"about_ca_system_score_codex":0.00019193684,"about_ca_system_score_gemma":0.000346676,"threshold_uncertainty_score":0.9999464},"labels":[],"label_agreement":null},{"id":"W4285585406","doi":"10.1016/j.conb.2022.102605","title":"Attention control in the primate brain","year":2022,"lang":"en","type":"review","venue":"Current Opinion in Neurobiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":54,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Eye Institute; National Institute of Mental Health; Natural Sciences and Engineering Research Council of Canada","keywords":"Neuroscience; Cognition; Control (management); Psychology; Attentional control; Network dynamics; Primate; Cognitive psychology; Selection (genetic algorithm); Cognitive science; Computer science; Artificial intelligence","score_opus":0.156569673472622,"score_gpt":0.4083400942762885,"score_spread":0.2517704208036665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285585406","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00012425352,0.9717171,0.000030284498,0.0008836989,0.024485981,0.0023386022,0.00019139059,0.00005694928,0.00017170163],"genre_scores_gemma":[0.00014383363,0.9981056,5.101954e-7,0.00058069016,0.00023378411,0.0005948788,0.00028507272,0.000030314639,0.000025335796],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9943731,0.0034600033,0.0007493741,0.0008279592,0.00016758557,0.0004219757],"domain_scores_gemma":[0.9968807,0.0022619553,0.00041535325,0.00040772193,0.00000625815,0.000028024715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006899755,0.0003462127,0.0008022051,0.0004247009,0.00011643323,0.000042807413,0.0007508486,0.00014364865,0.000094457355],"category_scores_gemma":[0.00056123256,0.00023806242,0.00028744576,0.0008120044,0.00010166186,0.000071269074,0.00017690667,0.0013284747,0.000060027913],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024659406,0.0003272424,0.00005360155,0.0046937894,0.0000036483061,0.000012256681,0.000034185003,0.000021924312,0.000106908985,0.0063938242,0.00404663,0.9842813],"study_design_scores_gemma":[0.00038640603,0.00013350806,0.00007277808,0.0008362148,0.000012402747,0.00011208244,0.0000031438815,0.00016913163,1.69669e-7,0.00017750039,0.99788797,0.00020867276],"about_ca_topic_score_codex":0.0000036236033,"about_ca_topic_score_gemma":0.0000021489884,"teacher_disagreement_score":0.99384135,"about_ca_system_score_codex":0.00011243282,"about_ca_system_score_gemma":0.00007951407,"threshold_uncertainty_score":0.9707904},"labels":[],"label_agreement":null},{"id":"W4285590190","doi":"10.3389/frai.2022.807406","title":"Generative Models of Brain Dynamics","year":2022,"lang":"en","type":"review","venue":"Frontiers in Artificial Intelligence","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine; Mila - Quebec Artificial Intelligence Institute","funders":"Institut de Valorisation des Données; Consejo Nacional de Investigaciones Científicas y Técnicas; Canada Excellence Research Chairs, Government of Canada; Canadian Institute for Advanced Research","keywords":"Generative grammar; Computer science; Cognitive science; Abstraction; Generative model; Artificial intelligence; Computational neuroscience; Dynamics (music); Machine learning; Intersection (aeronautics); Computational model; Data science; Psychology; Epistemology; Engineering","score_opus":0.16028745193541646,"score_gpt":0.3434879593599968,"score_spread":0.18320050742458036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285590190","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000008920581,0.7408124,0.25079155,0.000109241395,0.004936367,0.0010535923,0.00031897708,0.000051301253,0.0019176131],"genre_scores_gemma":[0.00008786591,0.9973727,0.00153136,0.00014495528,0.00008524237,0.00013365537,0.00007017179,0.00005920508,0.0005148835],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966129,0.000588323,0.0011412879,0.0008339033,0.0004359141,0.00038763776],"domain_scores_gemma":[0.9983257,0.00057602196,0.00054617197,0.0004593298,0.000024143856,0.000068626476],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004484396,0.00039424075,0.0012413312,0.00060036447,0.00014203033,0.000049783815,0.0007978651,0.00020627472,0.00014633269],"category_scores_gemma":[0.00062428246,0.00037597513,0.00038845587,0.0014169539,0.0002513568,0.00018473474,0.0002494067,0.0007701191,0.000014327096],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014555724,0.000090188085,3.1931685e-7,0.0006838921,0.000009199496,0.00002599623,0.000094734016,0.0030272452,0.000015723232,0.061401352,0.0004847142,0.93415207],"study_design_scores_gemma":[0.000015351014,0.00014792102,2.6315e-8,0.0007695924,0.00006513946,0.000017871034,0.00021119996,0.4832149,0.00044703396,0.14132226,0.37323093,0.00055774883],"about_ca_topic_score_codex":0.000034221448,"about_ca_topic_score_gemma":0.000047804555,"teacher_disagreement_score":0.93359435,"about_ca_system_score_codex":0.0004880228,"about_ca_system_score_gemma":0.00020674596,"threshold_uncertainty_score":0.9998692},"labels":[],"label_agreement":null},{"id":"W4285987717","doi":"10.1093/cercor/bhac274","title":"Local neurodynamics as a signature of cortical areas: new insights from sleep","year":2022,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"International Science and Technology Center","keywords":"Wakefulness; Sleep (system call); Neuroscience; Psychology; Somatosensory system; Rapid eye movement sleep; Stereoelectroencephalography; Electroencephalography; Computer science","score_opus":0.01256404249674817,"score_gpt":0.2235880190498207,"score_spread":0.21102397655307253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285987717","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99454176,0.00005255279,0.0017279065,0.00043410523,0.0012802276,0.00023311749,0.000087262844,0.00009994632,0.0015430925],"genre_scores_gemma":[0.99585,0.0000060782677,0.000038046925,0.0029561068,0.00009811298,0.000009827285,0.000059078877,0.000033290642,0.000949409],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998003,0.00020598734,0.00032699897,0.0006099902,0.0005790699,0.00027493766],"domain_scores_gemma":[0.9989702,0.0002685218,0.00015774115,0.0003770477,0.000030376863,0.0001960754],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000039059436,0.00020217647,0.00025854804,0.000096626194,0.00026960735,0.00003529597,0.00042282345,0.00008158091,0.00092506775],"category_scores_gemma":[0.00021563971,0.00018857492,0.00013992158,0.00049527467,0.00013853615,0.00014698418,0.00034369744,0.00073306676,0.00005122054],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006251355,0.00036026322,0.001039343,0.000015293814,0.000020663889,0.00032323916,0.00034340884,0.003542332,0.9272499,0.053314287,0.0021244576,0.011041666],"study_design_scores_gemma":[0.003400334,0.0031288206,0.10666129,0.00003353486,0.00015690083,0.0003034867,0.0006610617,0.735796,0.048659287,0.085330114,0.014566734,0.0013024675],"about_ca_topic_score_codex":0.00024456438,"about_ca_topic_score_gemma":0.000047564645,"teacher_disagreement_score":0.87859064,"about_ca_system_score_codex":0.00007921906,"about_ca_system_score_gemma":0.000113045644,"threshold_uncertainty_score":0.9999882},"labels":[],"label_agreement":null},{"id":"W4286615415","doi":"10.31234/osf.io/eq54h","title":"Adaptation in sensory cortex drives bistable switching during auditory stream segregation","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital","funders":"Office of Naval Research; National Institutes of Health","keywords":"Percept; Auditory cortex; Perception; Neuroscience; Bistability; Sensory system; Neural adaptation; Psychology; Functional magnetic resonance imaging; Stimulus (psychology); Neurophysiology; Auditory perception; Anterior cingulate cortex; Adaptation (eye); Cognitive psychology; Physics; Cognition","score_opus":0.03276283294742488,"score_gpt":0.25856817180621744,"score_spread":0.22580533885879256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286615415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9908589,0.000015059308,0.0008035161,0.00016204067,0.0031576464,0.00048190786,0.00003334456,0.00021690216,0.004270652],"genre_scores_gemma":[0.99284583,0.000120276236,0.00021099034,0.00014004832,0.00017898701,0.00007810962,0.000058569425,0.000038002257,0.0063291597],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977568,0.0002482001,0.0004009042,0.00085716293,0.0004533009,0.0002836463],"domain_scores_gemma":[0.999053,0.00019990826,0.0003059323,0.00035839205,0.000028267581,0.00005451479],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002004888,0.00025518917,0.0002339109,0.00037041874,0.0002833815,0.00013592756,0.0002312173,0.00013839673,0.0003153435],"category_scores_gemma":[0.00021469165,0.0002688895,0.000093839364,0.00025275315,0.000026692473,0.00026947586,0.0005134243,0.000920397,0.000016638136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061605744,0.00010028601,0.0008694996,0.00016170477,0.00000520563,0.000068062094,0.00058150716,0.15052004,0.8420898,0.0015420598,0.000059305683,0.003940976],"study_design_scores_gemma":[0.0010555643,0.00012298905,0.081775695,0.00020510562,0.000030241617,0.00003227584,0.0016035006,0.8481972,0.054686997,0.010058172,0.0010969391,0.001135292],"about_ca_topic_score_codex":0.00045149683,"about_ca_topic_score_gemma":0.000356548,"teacher_disagreement_score":0.78740275,"about_ca_system_score_codex":0.00039028228,"about_ca_system_score_gemma":0.000117361946,"threshold_uncertainty_score":0.99997634},"labels":[],"label_agreement":null},{"id":"W4286651810","doi":"10.7554/elife.73930.sa2","title":"Author response: Sigma oscillations protect or reinstate motor memory depending on their temporal coordination with slow waves","year":2022,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; McGill University; Montreal Neurological Institute and Hospital; Canadian Sleep & Circadian Network","funders":"","keywords":"Sigma; Physics; Motor coordination; Control theory (sociology); Psychology; Computer science; Neuroscience; Quantum mechanics; Artificial intelligence","score_opus":0.07787489432129349,"score_gpt":0.31709329918146334,"score_spread":0.23921840486016985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286651810","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06430492,0.0010089597,0.0054103294,0.7956623,0.021579407,0.036784053,0.009617995,0.003554287,0.062077772],"genre_scores_gemma":[0.03324081,0.00016109369,0.00027861106,0.004278899,0.00019972454,0.00084538304,0.00040734335,0.00013881158,0.96044934],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9951766,0.0012423048,0.0006110537,0.001302391,0.001182411,0.00048522028],"domain_scores_gemma":[0.99689204,0.0014212157,0.00062342954,0.00076920097,0.00014698943,0.00014713232],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001458776,0.0006098473,0.00064218696,0.0005628416,0.0009920513,0.00019845222,0.00051308784,0.0001817495,0.002441073],"category_scores_gemma":[0.0026957898,0.00038503663,0.0002142152,0.0011113255,0.0001110158,0.0002858556,0.00020931641,0.0010400641,0.000042348183],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0064535867,0.00026436223,0.0000064368555,0.0018516275,0.00005960337,0.00038111332,0.00013383495,0.0009878328,0.05832068,0.00083052035,0.90329677,0.027413609],"study_design_scores_gemma":[0.00054093706,0.0028313189,0.00008269002,0.001174463,0.00006545743,0.00015742486,0.00005426156,0.008642844,0.00274263,0.00013951983,0.9828109,0.0007575148],"about_ca_topic_score_codex":0.00007894728,"about_ca_topic_score_gemma":0.00013153286,"teacher_disagreement_score":0.8983716,"about_ca_system_score_codex":0.00044815204,"about_ca_system_score_gemma":0.00049989246,"threshold_uncertainty_score":0.99986017},"labels":[],"label_agreement":null},{"id":"W4286852613","doi":"10.3791/52642-v","title":"A Large Lateral Craniotomy Procedure for Mesoscale Wide-field Optical Imaging of Brain Activity","year":2017,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Craniotomy; Optogenetics; Neuroscience; Medicine; Anatomy; Biomedical engineering; Biology; Surgery","score_opus":0.03624036021217917,"score_gpt":0.4251110780024753,"score_spread":0.3888707177902961,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286852613","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902964,0.000020052272,0.0061112368,0.0022638512,0.0006677176,0.0002799178,0.000009702333,0.000010327415,0.00034079346],"genre_scores_gemma":[0.99803704,0.000008390771,0.00054148294,0.0009870605,0.00012632238,0.000010181545,4.074984e-7,0.000020068834,0.00026906675],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987054,0.000065033135,0.0003852957,0.00020758857,0.00036305495,0.00027361955],"domain_scores_gemma":[0.9985052,0.00031510997,0.0007322427,0.00022395395,0.00010976584,0.00011372956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037347706,0.00014453422,0.00033281752,0.00008934234,0.00028351892,0.00013874762,0.0003695456,0.00006043103,0.00003750797],"category_scores_gemma":[0.0018896372,0.00011613518,0.0002177633,0.00004477336,0.00006540366,0.0006325109,0.000104391416,0.00017266478,0.0000016391273],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009753136,0.00039436127,0.002838136,0.000035503588,0.000015331074,0.000023134306,0.00026528255,0.000001079024,0.99266225,0.0007853679,0.001404639,0.0005996062],"study_design_scores_gemma":[0.0033889648,0.00048473696,0.0037830852,0.00009403318,0.000017280705,0.00005658287,0.00004880556,0.0031869446,0.98695445,0.0007014123,0.0011551086,0.00012859967],"about_ca_topic_score_codex":0.0000049778437,"about_ca_topic_score_gemma":9.2940775e-7,"teacher_disagreement_score":0.0077406177,"about_ca_system_score_codex":0.00003770847,"about_ca_system_score_gemma":0.000055820456,"threshold_uncertainty_score":0.47358552},"labels":[],"label_agreement":null},{"id":"W4286855960","doi":"10.3791/50872-v","title":"Functional Imaging of Auditory Cortex in Adult Cats using High-field fMRI","year":2014,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"","keywords":"Auditory cortex; Neuroscience; Sensory system; Functional magnetic resonance imaging; Stimulus (psychology); CATS; Auditory system; Electrophysiology; Psychology; Auditory imagery; Medicine; Cognition","score_opus":0.03232889848494993,"score_gpt":0.3726437925436777,"score_spread":0.3403148940587278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286855960","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99253976,0.000027520167,0.004257565,0.00013077259,0.0027490861,0.0000714646,0.0000014630278,0.000007525403,0.00021482055],"genre_scores_gemma":[0.9983446,0.000017680306,0.00045743724,0.0007859546,0.00032396667,0.0000015204549,6.6528077e-7,0.000015443642,0.00005271739],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983877,0.00016892828,0.0005888873,0.00017687434,0.0004918777,0.00018572384],"domain_scores_gemma":[0.99887913,0.00020357543,0.0005911462,0.00011634382,0.00013264673,0.00007716033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026521296,0.00012430499,0.00027252678,0.00025446346,0.00006387478,0.000027175645,0.00015030298,0.000046374378,0.00009942539],"category_scores_gemma":[0.00045209157,0.00010911614,0.00010287548,0.0001885813,0.000047014863,0.00030734067,0.00004576981,0.00019038742,0.0000046932405],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002762215,0.0001922134,0.0015728206,0.000009807299,0.000006069272,0.000016010888,0.00012027236,0.0001843885,0.99561673,0.0007879262,0.00054058473,0.0006769533],"study_design_scores_gemma":[0.002667531,0.00034009683,0.0081039285,0.00015593648,0.000014683653,0.00009556669,0.00012793712,0.017144807,0.9703946,0.0005626251,0.00023616658,0.00015612738],"about_ca_topic_score_codex":0.0000605216,"about_ca_topic_score_gemma":0.0000015831417,"teacher_disagreement_score":0.025222138,"about_ca_system_score_codex":0.00009275254,"about_ca_system_score_gemma":0.00005286739,"threshold_uncertainty_score":0.4449627},"labels":[],"label_agreement":null},{"id":"W4288045162","doi":"10.1016/j.neucom.2022.07.060","title":"NPDS toolbox: Neural population (De) synchronization toolbox for MATLAB","year":2022,"lang":"en","type":"article","venue":"Neurocomputing","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Iran National Science Foundation; Cognitive Sciences and Technologies Council","keywords":"Toolbox; Computer science; MATLAB; Asynchronous communication; Population; Synchronization (alternating current); Artificial neural network; Nonlinear system; Artificial intelligence; Computational science; Algorithm; Physics","score_opus":0.023282493158436165,"score_gpt":0.25912436561066415,"score_spread":0.23584187245222799,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288045162","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97526854,0.0000069206167,0.021058274,0.0008277886,0.0014921866,0.0006201987,0.000022357215,0.00029238107,0.00041132263],"genre_scores_gemma":[0.995893,8.126385e-7,0.00042036953,0.0029164432,0.0003144961,0.000058211248,0.00004689148,0.000042975207,0.0003067823],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99832916,0.00020049658,0.0002838273,0.00050459616,0.00029717432,0.00038474132],"domain_scores_gemma":[0.99921274,0.00034152894,0.00017672803,0.00018354408,0.00002900423,0.00005646366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002445484,0.00015051929,0.00013712388,0.00011359718,0.0010305943,0.00013241949,0.00023560209,0.000032420485,0.000043448355],"category_scores_gemma":[0.00031738172,0.00016804104,0.0000900289,0.00042500292,0.000016513532,0.00019782576,0.00012422261,0.0002412018,0.000004749401],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014570056,0.0001665499,0.005856257,0.00009634837,0.0000043205855,0.000039268227,0.0002785743,0.43436912,0.42086044,0.011127516,0.0014834082,0.12557249],"study_design_scores_gemma":[0.0004238663,0.00024680502,0.006754674,0.000004799205,0.000009077437,0.00011880197,0.000027152028,0.98410344,0.0030059803,0.0006923574,0.004419022,0.00019403335],"about_ca_topic_score_codex":0.000027823033,"about_ca_topic_score_gemma":0.0000018115798,"teacher_disagreement_score":0.5497343,"about_ca_system_score_codex":0.00015483133,"about_ca_system_score_gemma":0.000025205743,"threshold_uncertainty_score":0.7926603},"labels":[],"label_agreement":null},{"id":"W4288693293","doi":"10.1017/s2633903x2200006x","title":"Automatic classification and neurotransmitter prediction of synapses in electron microscopy","year":2022,"lang":"en","type":"article","venue":"Biological Imaging","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"National Institute of Neurological Disorders and Stroke; National Science Foundation","keywords":"Synapse; Connectomics; Computer science; Artificial intelligence; Neuroscience; Ciona intestinalis; Neurotransmitter; Connectome; Function (biology); Machine learning; Biology; Pattern recognition (psychology); Cell biology","score_opus":0.03955221037434947,"score_gpt":0.27749988594497466,"score_spread":0.23794767557062518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288693293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988018,0.00004590743,0.00013360986,0.0006035482,0.00010671465,0.00014759088,0.000014031849,0.00004375908,0.000102984144],"genre_scores_gemma":[0.9992776,0.000040251674,0.000049267022,0.00057287805,0.000009153431,0.000031080832,0.000005997947,0.000003886286,0.00000991387],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992348,0.0001685475,0.00016011724,0.00023572454,0.00007657248,0.0001242542],"domain_scores_gemma":[0.9997437,0.00011092203,0.00005808065,0.00006629922,0.0000053460835,0.000015674752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012839863,0.00005864675,0.00008118425,0.0000695033,0.0000893641,0.000013096566,0.00007111208,0.000013860657,0.0000358922],"category_scores_gemma":[0.00008578591,0.000047686473,0.00001932881,0.00017596014,0.00007368833,0.00006664821,0.000045959678,0.0001343173,6.804517e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015013695,0.000040202456,0.04366348,0.0000060134735,3.1897665e-7,0.0000028470188,0.000018707437,0.000010744541,0.95118785,0.00046642424,0.000018520886,0.00456988],"study_design_scores_gemma":[0.0003538587,0.00031387308,0.70362645,0.00000953732,0.0000041241638,0.000067874396,0.000047659483,0.17318983,0.12009799,0.0015233825,0.00066111464,0.00010432018],"about_ca_topic_score_codex":0.0000069547364,"about_ca_topic_score_gemma":2.9679364e-7,"teacher_disagreement_score":0.83108985,"about_ca_system_score_codex":0.000026615866,"about_ca_system_score_gemma":0.000006135576,"threshold_uncertainty_score":0.1944598},"labels":[],"label_agreement":null},{"id":"W4288695432","doi":"10.1523/eneuro.0281-21.2022","title":"Detecting Spontaneous Neural Oscillation Events in Primate Auditory Cortex","year":2022,"lang":"en","type":"article","venue":"eNeuro","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Columbia College","funders":"Army Research Office; Life Sciences Division, Army Research Office; National Institute of Biomedical Imaging and Bioengineering; National Institute on Deafness and Other Communication Disorders; National Institute of Mental Health; U.S. Army; James S. McDonnell Foundation; National Institutes of Health; National Science Foundation","keywords":"Oscillation (cell signaling); Electroencephalography; Neuroscience; Amplitude; Waveform; Electrophysiology; Physics; Psychology; Biology","score_opus":0.017212290423347404,"score_gpt":0.24390604295931076,"score_spread":0.22669375253596336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288695432","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959745,0.0000040751083,0.000015573709,0.0001897266,0.0028564825,0.00019055641,0.000008016239,0.000094242816,0.00066685065],"genre_scores_gemma":[0.9983477,0.0000035610437,0.000007205427,0.00092587015,0.00010549042,0.00002317702,0.0000032762212,0.00002134264,0.0005623926],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986095,0.0002577769,0.00019017082,0.0003768901,0.00032726902,0.00023842423],"domain_scores_gemma":[0.9994733,0.00022039536,0.00009910128,0.00016132444,0.0000075528737,0.000038327344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015788662,0.00010378082,0.00009541635,0.00012605949,0.00030724047,0.000015438052,0.0001625871,0.000018614743,0.00010021748],"category_scores_gemma":[0.0002873879,0.00011306383,0.000042373184,0.00033273944,0.000015084514,0.00010860687,0.00016071045,0.00029730052,0.000018909415],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000099845645,0.000060834816,0.0030815068,0.0000074874233,6.566717e-7,0.0009783269,0.00009406503,0.018845174,0.9709551,0.00010369944,0.000067036664,0.005706318],"study_design_scores_gemma":[0.002022694,0.0012840499,0.34055224,0.000018499155,0.000016000173,0.0065566115,0.00012780038,0.59409875,0.036874264,0.0021103811,0.015339865,0.0009988823],"about_ca_topic_score_codex":0.00002031183,"about_ca_topic_score_gemma":0.000023056196,"teacher_disagreement_score":0.9340808,"about_ca_system_score_codex":0.00012193866,"about_ca_system_score_gemma":0.000018656367,"threshold_uncertainty_score":0.46106088},"labels":[],"label_agreement":null},{"id":"W4288709727","doi":"10.1002/hbm.26024","title":"Default mode network mediates low‐frequency fluctuations in brain activity and behavior during sustained attention","year":2022,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre; Mental Health Research Canada; University of Ottawa","funders":"Canadian Institutes of Health Research; Université de Recherche Paris Sciences et Lettres; National Natural Science Foundation of China","keywords":"Default mode network; Neuroscience; Cognition; Psychology; Brain activity and meditation; Neural activity; Task-positive network; Cognitive psychology; Electroencephalography","score_opus":0.022907973502521224,"score_gpt":0.26824729098525724,"score_spread":0.24533931748273602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288709727","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99633145,0.000015053539,0.00037690203,0.002147675,0.00025225888,0.0005441388,0.000018020608,0.000120848614,0.00019365929],"genre_scores_gemma":[0.99820095,0.000004810931,0.00005126932,0.00056656817,0.00012619974,0.00024461694,0.000032136402,0.000029049766,0.0007443968],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99798614,0.00038590492,0.00028874047,0.000567407,0.00031968282,0.00045210167],"domain_scores_gemma":[0.99916893,0.00036224257,0.00015114648,0.0002232465,0.000021877713,0.00007253164],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004708492,0.00018076632,0.0001823172,0.00027488847,0.0014722034,0.00010040062,0.00018365053,0.000049777667,0.000100250945],"category_scores_gemma":[0.00038321127,0.0002118141,0.00006218417,0.000621267,0.00008031981,0.00034655727,0.00026058196,0.00041379372,0.0000031673776],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012124228,0.00009204188,0.0063257017,0.00004024851,0.000002233299,0.00005483704,0.00041711866,0.0025641625,0.98619896,0.0038051119,0.00010878261,0.00037866266],"study_design_scores_gemma":[0.0011525396,0.000098648634,0.95712775,0.000046791687,0.00001284458,0.00004940259,0.0005917634,0.027528184,0.000895993,0.011980265,0.00007538322,0.000440421],"about_ca_topic_score_codex":0.00014404375,"about_ca_topic_score_gemma":0.00026284307,"teacher_disagreement_score":0.985303,"about_ca_system_score_codex":0.00023374833,"about_ca_system_score_gemma":0.000030250249,"threshold_uncertainty_score":0.99982774},"labels":[],"label_agreement":null},{"id":"W4288758295","doi":"10.1038/s41598-022-17055-9","title":"Stimulation with acoustic white noise enhances motor excitability and sensorimotor integration","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"Ministero dell’Istruzione, dell’Università e della Ricerca; Ministero della Salute","keywords":"Neuroscience; Stimulation; Neuroplasticity; Psychology","score_opus":0.016239124895199474,"score_gpt":0.23775974097834923,"score_spread":0.22152061608314977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288758295","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929299,0.000005615925,0.0020967552,0.0001377346,0.0038896084,0.00047269487,0.000009229214,0.00007894534,0.0003795522],"genre_scores_gemma":[0.9967126,8.6026137e-7,0.0001576049,0.000060922375,0.000036685342,0.00005622699,0.00001970513,0.0000099942545,0.0029453465],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99803215,0.00011745775,0.00026204108,0.00082752755,0.00058069103,0.00018010254],"domain_scores_gemma":[0.9991654,0.00008330471,0.00022096506,0.00038710193,0.000074134376,0.000069074646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007005934,0.0001114374,0.00010708748,0.00012317744,0.00088566996,0.0002560372,0.000065224915,0.000019360758,0.0002722118],"category_scores_gemma":[0.000338064,0.00008882689,0.00002984853,0.00048545707,0.00020020985,0.0003251462,0.00008016345,0.00013699109,0.0000040394198],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050057417,0.000052428488,0.0029964685,0.00001050696,9.90419e-7,0.00006588673,0.00018445928,0.0036654691,0.9915612,0.000035834484,0.00013514925,0.0012415595],"study_design_scores_gemma":[0.0008533757,0.0016358679,0.13909598,0.000048533966,0.000090654925,0.0022331183,0.0010567744,0.43788552,0.3894129,0.017702853,0.008791791,0.0011926431],"about_ca_topic_score_codex":0.000009495283,"about_ca_topic_score_gemma":0.000020142252,"teacher_disagreement_score":0.6021483,"about_ca_system_score_codex":0.00007792532,"about_ca_system_score_gemma":0.000057748734,"threshold_uncertainty_score":0.68119466},"labels":[],"label_agreement":null},{"id":"W4289261251","doi":"10.1093/braincomms/fcac198","title":"Altered visual entrainment in patients with Alzheimer’s disease: magnetoencephalography evidence","year":2022,"lang":"en","type":"article","venue":"Brain Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute of General Medical Sciences; National Institute of Mental Health; National Institute on Aging; National Institutes of Health","keywords":"Magnetoencephalography; Entrainment (biomusicology); Stimulus (psychology); Audiology; Rhythm; Neuroscience; Psychology; Alzheimer's disease; Visual cortex; Disease; Medicine; Internal medicine; Electroencephalography; Cognitive psychology","score_opus":0.05292867585639975,"score_gpt":0.29549773602121276,"score_spread":0.242569060164813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289261251","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9773158,0.0006008876,0.000116609845,0.019336792,0.00025472158,0.0013402593,0.0001537292,0.00012465558,0.0007565333],"genre_scores_gemma":[0.9955042,0.00007746691,0.00019620238,0.0036629708,0.0000110065275,0.0003949831,0.00007890905,0.000017241591,0.000057048],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980883,0.00062377506,0.00023279234,0.00035706355,0.0004469,0.00025118742],"domain_scores_gemma":[0.9979219,0.0007754024,0.00011329031,0.0010590993,0.000026565496,0.00010374166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022410348,0.00012896846,0.000107225795,0.00017883783,0.0006223307,0.00005038293,0.0009801141,0.0000137264715,0.00016643143],"category_scores_gemma":[0.0002179697,0.00012446109,0.000051232535,0.00082510675,0.00019800695,0.00023833361,0.00067575386,0.00029979253,0.000009866305],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023456474,0.012651986,0.7862627,0.00005690445,0.000083819665,0.000049596303,0.002665656,0.0065283314,0.031619243,0.060560245,0.013305445,0.0838704],"study_design_scores_gemma":[0.0014505687,0.0008381293,0.9561731,0.000056095694,0.000039984647,0.0000037184398,0.00012549064,0.018430745,0.00013270606,0.001319782,0.02097412,0.0004555333],"about_ca_topic_score_codex":0.000029831259,"about_ca_topic_score_gemma":0.000035309666,"teacher_disagreement_score":0.16991042,"about_ca_system_score_codex":0.00007941253,"about_ca_system_score_gemma":0.000060034217,"threshold_uncertainty_score":0.5075376},"labels":[],"label_agreement":null},{"id":"W4289262131","doi":"10.1371/journal.pbio.3001735","title":"Human electromagnetic and haemodynamic networks systematically converge in unimodal cortex and diverge in transmodal cortex","year":2022,"lang":"en","type":"article","venue":"PLoS Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Fonds de recherche du Québec – Nature et technologies; Canadian Institutes of Health Research; National Institutes of Health; Fondation Brain Canada; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Biology; Cortex (anatomy); Neuroscience; Cognitive psychology; Psychology","score_opus":0.014047023207744513,"score_gpt":0.22908785978374335,"score_spread":0.21504083657599884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289262131","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99874365,0.00009037428,0.000051796036,0.00026894695,0.00018361905,0.0004407346,0.000019363662,0.000030002902,0.00017148787],"genre_scores_gemma":[0.9993461,0.000048861813,0.000008021091,0.00040681218,0.000017081707,0.00007101833,0.000016636002,0.000013425346,0.00007208584],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982984,0.00044592304,0.00031353012,0.00049421785,0.0000951803,0.00035274925],"domain_scores_gemma":[0.9995478,0.00019209347,0.000069728114,0.00012702645,0.0000069201337,0.00005646028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001855286,0.00014661331,0.00030582186,0.0001628276,0.00016000577,0.000017709874,0.00014470748,0.00007990542,0.00005897085],"category_scores_gemma":[0.00004287916,0.000138959,0.000023500535,0.00026149783,0.00017073158,0.00004996756,0.00013816402,0.00037025972,0.0000011542969],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000117151496,0.00018897177,0.02314707,0.00008352171,0.000005966571,0.000095672185,0.00011967411,0.000113859,0.9539422,0.021932438,0.000007111311,0.00024636695],"study_design_scores_gemma":[0.001946505,0.0026432385,0.30083016,0.00003634508,0.000023169416,0.00019947816,0.000062127816,0.68537945,0.0002550244,0.008219708,0.00003043675,0.00037436886],"about_ca_topic_score_codex":0.00010911837,"about_ca_topic_score_gemma":0.0002711988,"teacher_disagreement_score":0.9536872,"about_ca_system_score_codex":0.00006201876,"about_ca_system_score_gemma":0.000016000096,"threshold_uncertainty_score":0.5666583},"labels":[],"label_agreement":null},{"id":"W4289637844","doi":"10.1101/2022.08.01.502331","title":"A topological connectome surface network with spin-half particles can produce brain-like signals and store memory","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Relevance (law); Surface (topology); Function (biology); Brain function; Topology (electrical circuits); Cognitive science; Neuroscience; Computer science; Psychology; Mathematics; Biology; Political science; Cell biology; Geometry","score_opus":0.024472639552336584,"score_gpt":0.23408998800375988,"score_spread":0.2096173484514233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289637844","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930283,0.00039131296,0.000106730295,0.0033653867,0.0013392803,0.0011704304,0.00014615171,0.0004416242,0.000010797624],"genre_scores_gemma":[0.9961084,0.00010445187,0.00061908463,0.002503693,0.00036643964,0.00014150393,4.1576573e-7,0.00011140035,0.000044624885],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9957081,0.00055528217,0.0004448912,0.001871293,0.0005982223,0.0008221738],"domain_scores_gemma":[0.9976158,0.00043268624,0.0004319299,0.0010300433,0.000149335,0.00034020137],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00080922164,0.0006055197,0.0006302887,0.00010164131,0.0005308414,0.00031605974,0.00054632983,0.00025818555,0.00013622496],"category_scores_gemma":[0.0005519247,0.0005365988,0.00009641719,0.0007155223,0.0003911218,0.00013826968,0.0008953098,0.0010848605,0.0000104482715],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001725335,0.00015382702,0.006511731,0.00019329606,0.000046842015,0.00035054298,0.000023548246,0.008766442,0.9812428,0.0019179214,0.000616925,0.0000035903286],"study_design_scores_gemma":[0.0033530074,0.0025656894,0.17297655,0.0007752028,0.0004174446,0.000002614244,0.00006781619,0.02063751,0.7698891,0.00014716417,0.023604983,0.0055628987],"about_ca_topic_score_codex":0.00009610062,"about_ca_topic_score_gemma":0.000020315618,"teacher_disagreement_score":0.21135367,"about_ca_system_score_codex":0.00021399099,"about_ca_system_score_gemma":0.00037796635,"threshold_uncertainty_score":0.99970853},"labels":[],"label_agreement":null},{"id":"W4289667319","doi":"10.1101/2022.08.02.502429","title":"Perceptual stability reflected in neuronal pattern similarities in human visual cortex","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Advanced Research","keywords":"Visual cortex; Stimulus (psychology); Neuroscience; Perception; Stimulation; Visual perception; Premovement neuronal activity; Psychology; Cognitive psychology","score_opus":0.035650134864540474,"score_gpt":0.26781906796290733,"score_spread":0.23216893309836686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289667319","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99682623,0.00002394254,0.00004456977,0.00022156657,0.0013683253,0.0008359446,0.0003733586,0.0002844775,0.000021598717],"genre_scores_gemma":[0.99852437,0.000042450858,0.000029759001,0.000849949,0.0001620788,0.00026572443,0.0000016886272,0.000116982934,0.0000070077285],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9950131,0.0008554985,0.00083636167,0.0018293192,0.0007176564,0.0007480504],"domain_scores_gemma":[0.9983078,0.00022130017,0.0003196183,0.00088516885,0.00010241968,0.00016365228],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00063696125,0.0005831872,0.00061566074,0.00056665216,0.0002604591,0.00022873272,0.00072158023,0.00035059993,0.00064360467],"category_scores_gemma":[0.0004970648,0.00069355004,0.0001477516,0.0009234185,0.00022992032,0.00022459582,0.0011689886,0.0023129547,0.000012329842],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005124168,0.00043059912,0.053192846,0.00015950005,0.0000049108303,0.00019650298,0.000037387792,0.0001673388,0.9455676,0.00016635779,0.000022929491,0.000002786435],"study_design_scores_gemma":[0.0006985165,0.00021725982,0.9039254,0.00009941658,0.000014434067,3.273221e-8,0.00001959367,0.0049288766,0.08897879,0.000011874199,0.00028570727,0.0008201052],"about_ca_topic_score_codex":0.0003900702,"about_ca_topic_score_gemma":0.0001920512,"teacher_disagreement_score":0.8565888,"about_ca_system_score_codex":0.0007744239,"about_ca_system_score_gemma":0.00037229276,"threshold_uncertainty_score":0.99998873},"labels":[],"label_agreement":null},{"id":"W4289782297","doi":"10.1101/2022.08.02.502469","title":"Representing experience over time: sustained sensory patterns and transient frontroparietal patterns","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; Azrieli Foundation","keywords":"Sensory system; Perception; Stimulus (psychology); Consciousness; Cognitive psychology; Representation (politics); Psychology; Neuroscience; Time perception; Contrast (vision); Computer science; Artificial intelligence","score_opus":0.016168820093220095,"score_gpt":0.23000532991074976,"score_spread":0.21383650981752966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289782297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946603,0.00008618866,0.0013434493,0.00025217852,0.0016273931,0.00087905367,0.000717715,0.00041246446,0.000021228025],"genre_scores_gemma":[0.9983423,0.00016308676,0.0001186142,0.0005951961,0.000304952,0.00024816123,9.856267e-7,0.00014129585,0.00008541294],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9953919,0.00040179433,0.0006201435,0.0020262287,0.00076857966,0.00079137075],"domain_scores_gemma":[0.9976882,0.00019890256,0.00045065992,0.001248965,0.00011663438,0.00029666783],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038673735,0.00063839584,0.00057392847,0.00025709873,0.0005285032,0.00046322856,0.00059313735,0.00027232128,0.0004962087],"category_scores_gemma":[0.00041771063,0.00069112505,0.00020478261,0.00031105554,0.00016001497,0.00028297532,0.001208864,0.0011288786,0.000015387717],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006580284,0.00012384003,0.026641654,0.00024121914,0.000026817812,0.0003961718,0.00007462701,0.00019652671,0.97193193,0.00021755547,0.00007982466,0.0000040402874],"study_design_scores_gemma":[0.0022226546,0.00028006776,0.3648032,0.00039372785,0.00022043323,7.236823e-7,0.000099423574,0.05785631,0.5664465,0.000009018163,0.0044447943,0.0032231815],"about_ca_topic_score_codex":0.00015528424,"about_ca_topic_score_gemma":0.0000030325084,"teacher_disagreement_score":0.40548545,"about_ca_system_score_codex":0.00026897163,"about_ca_system_score_gemma":0.00015284227,"threshold_uncertainty_score":0.999554},"labels":[],"label_agreement":null},{"id":"W4289938705","doi":"10.1016/j.neunet.2022.08.001","title":"Online spike sorting via deep contractive autoencoder","year":2022,"lang":"en","type":"article","venue":"Neural Networks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centrale des Syndicats du Québec; Group for Research in Decision Analysis","funders":"Australian Research Council","keywords":"Spike sorting; Spike (software development); Computer science; Autoencoder; Sorting; Artificial intelligence; Pattern recognition (psychology); Noise (video); Pipeline (software); Machine learning; Artificial neural network; Algorithm","score_opus":0.02008111125922325,"score_gpt":0.2511521056987771,"score_spread":0.23107099443955387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289938705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96724313,0.00009550057,0.02403507,0.0019800966,0.0042298427,0.00052019,0.000029530212,0.0003726978,0.001493936],"genre_scores_gemma":[0.9913934,0.000010611817,0.00008121621,0.0074359616,0.0004241002,0.000038846618,0.000028052955,0.000034382978,0.0005534655],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99811035,0.00022741457,0.0002962629,0.0005245874,0.0003620383,0.0004793142],"domain_scores_gemma":[0.99910593,0.000333355,0.00020666831,0.00022995823,0.000025367248,0.000098705954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014175946,0.0001859537,0.00019021102,0.00006317515,0.00070890493,0.000059675145,0.00028397172,0.000049468712,0.00036756348],"category_scores_gemma":[0.00012215538,0.00017699804,0.00011475554,0.00041821285,0.000061176506,0.00019948836,0.00025669317,0.0008298658,0.000008433375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020824913,0.0003052218,0.0006466993,0.0000044485814,0.0000071653085,0.00021866628,0.00008888497,0.8670606,0.045460485,0.0009439394,0.0006386902,0.08441696],"study_design_scores_gemma":[0.0003308023,0.00025249217,0.0014675101,0.000002019313,0.000010743495,0.00013969663,0.0000395739,0.9947318,0.00035590056,0.00065667694,0.0018129913,0.00019980108],"about_ca_topic_score_codex":0.000026210815,"about_ca_topic_score_gemma":0.00003171526,"teacher_disagreement_score":0.12767121,"about_ca_system_score_codex":0.00008203947,"about_ca_system_score_gemma":0.000011934028,"threshold_uncertainty_score":0.721777},"labels":[],"label_agreement":null},{"id":"W4290039438","doi":"10.1016/j.patter.2022.100555","title":"A scale-dependent measure of system dimensionality","year":2022,"lang":"en","type":"article","venue":"Patterns","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; University of British Columbia; NIH Blueprint for Neuroscience Research; Santa Fe Institute; University of Washington; Aspen Center for Physics; Simons Foundation; National Institutes of Health; National Science Foundation","keywords":"Curse of dimensionality; Measure (data warehouse); Attractor; Scale (ratio); Generalization; Dimension (graph theory); Population; Degrees of freedom (physics and chemistry); Markov chain; Dimensionality reduction; Mathematics; Dynamical systems theory; Lorenz system; Computer science; Artificial intelligence; Statistical physics; Statistics; Physics; Data mining","score_opus":0.02979444256255033,"score_gpt":0.23638596133252537,"score_spread":0.20659151876997506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4290039438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997734,0.0000044990447,0.0003534381,0.00021846045,0.0006513068,0.00012493086,0.0001788021,0.00004751233,0.0006870277],"genre_scores_gemma":[0.9992746,7.084228e-7,0.000004444738,0.00031599734,0.000024222356,0.000023738547,0.0000044039466,0.000008237275,0.00034366365],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988786,0.00017457583,0.00014432194,0.00022218854,0.00046947226,0.000110823414],"domain_scores_gemma":[0.9996271,0.00006035328,0.00008108401,0.00018153856,0.000017090371,0.00003284637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020065239,0.000060086382,0.00009577217,0.000034925488,0.00014131411,0.000008014606,0.0001416486,0.000011757498,0.00013000346],"category_scores_gemma":[0.000019690939,0.000047470672,0.000052572042,0.000098319084,0.000014735065,0.000033533142,0.00015941117,0.000110461704,0.000011954524],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005935547,0.00015431707,0.036330894,0.00011755378,0.000004465334,0.000041140436,0.00014010316,0.0004779003,0.95802927,0.0016855448,0.00011517352,0.0028442994],"study_design_scores_gemma":[0.0021307555,0.0008188918,0.12326329,0.00017650919,0.00006905818,0.00070034794,0.001294321,0.0320134,0.8344166,0.00080582674,0.0034890692,0.00082190096],"about_ca_topic_score_codex":0.00007992027,"about_ca_topic_score_gemma":0.000011557041,"teacher_disagreement_score":0.12361263,"about_ca_system_score_codex":0.00006341848,"about_ca_system_score_gemma":0.00001233492,"threshold_uncertainty_score":0.19357978},"labels":[],"label_agreement":null},{"id":"W4290706255","doi":"10.1016/j.neuroscience.2022.07.026","title":"A Guide for the Multiplexed: The Development of Visual Feature Maps in the Brain","year":2022,"lang":"en","type":"review","venue":"Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"ENCODE; Computer science; Feature (linguistics); Neuroscience; Focus (optics); Feature extraction; Encoding (memory); Artificial intelligence; Multiplexing; Biological neural network; Pattern recognition (psychology); Machine learning; Biology","score_opus":0.11558039617403594,"score_gpt":0.37260161992103097,"score_spread":0.25702122374699504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4290706255","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005241045,0.9457116,0.0012576407,0.015819885,0.012806528,0.02077879,0.00064612937,0.00017896105,0.002276376],"genre_scores_gemma":[0.0005269537,0.9801871,0.00018101519,0.011468748,0.00018765677,0.0021989439,0.00002007901,0.00007626438,0.0051532476],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99657005,0.00071605295,0.00059648603,0.0007916655,0.000880344,0.00044537787],"domain_scores_gemma":[0.9918744,0.0069339415,0.00047265904,0.00066600065,0.000019711968,0.000033294327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002052504,0.00033025732,0.00046434224,0.00012866576,0.0011364649,0.00016212012,0.002853349,0.0000806577,0.000010282549],"category_scores_gemma":[0.003848034,0.00013854037,0.000303151,0.0016819932,0.0003786729,0.000098913784,0.0004678958,0.00078866654,0.000003442897],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011548407,0.0001114864,0.000001954957,0.0006650636,0.0000018361375,0.000009514698,0.00047774933,0.000048157657,0.0032151176,0.0012133634,0.005682359,0.98856187],"study_design_scores_gemma":[0.000098495744,0.000094673116,0.000050892148,0.00015344596,0.000025252944,0.00006648512,0.00007041723,0.001036801,0.000059139973,0.00003931664,0.9981474,0.00015765171],"about_ca_topic_score_codex":0.000008761165,"about_ca_topic_score_gemma":0.00005643127,"teacher_disagreement_score":0.9924651,"about_ca_system_score_codex":0.000078258265,"about_ca_system_score_gemma":0.0004361657,"threshold_uncertainty_score":0.87408835},"labels":[],"label_agreement":null},{"id":"W4290988341","doi":"10.3389/fnsys.2022.945722","title":"On the origins and evolution of qualia: An experience-space perspective","year":2022,"lang":"en","type":"article","venue":"Frontiers in Systems Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Qualia; Consciousness; Space (punctuation); Cognitive science; Epistemology; Perspective (graphical); Meaning (existential); Computer science; Commensurability (mathematics); Psychology; Artificial intelligence; Mathematics; Philosophy; Pure mathematics","score_opus":0.02958219309126594,"score_gpt":0.2679442093535386,"score_spread":0.23836201626227263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4290988341","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99118394,0.00007024092,0.0026799736,0.00047744918,0.0045265974,0.0004611161,0.00002776463,0.000032270145,0.00054066087],"genre_scores_gemma":[0.99916756,0.000014328998,0.000019986024,0.00030679,0.00002291323,0.00010222465,1.8964198e-7,0.000010293757,0.00035570102],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99760735,0.00065456756,0.00022307198,0.0006404989,0.0006134539,0.00026103237],"domain_scores_gemma":[0.99922466,0.00016282781,0.00017205655,0.00035162017,0.00002803271,0.000060798753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004925015,0.00012767778,0.00016890655,0.0002171329,0.0005608148,0.000063151,0.0004957133,0.000023217945,0.0000038176704],"category_scores_gemma":[0.0006178504,0.000097521835,0.000030190979,0.0010823399,0.0005397971,0.00029999713,0.00014383784,0.00026479672,5.5607234e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009611388,0.00016847013,0.0077954065,0.000011377267,5.8069463e-7,0.000022216293,0.0051697344,0.009563243,0.3642727,0.6120514,0.0007833988,0.00006532535],"study_design_scores_gemma":[0.0011701697,0.0034847397,0.026364014,0.00006951456,0.000011630757,0.00029300712,0.13320304,0.7904537,0.017569695,0.017724393,0.008778448,0.00087763875],"about_ca_topic_score_codex":0.00036984507,"about_ca_topic_score_gemma":0.0000059109925,"teacher_disagreement_score":0.78089046,"about_ca_system_score_codex":0.00043066588,"about_ca_system_score_gemma":0.000059724956,"threshold_uncertainty_score":0.4313391},"labels":[],"label_agreement":null},{"id":"W4291155702","doi":"10.5772/intechopen.105756","title":"Early Visual Areas are Activated during Object Recognition in Emerging Images","year":2022,"lang":"en","type":"book-chapter","venue":"IntechOpen eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Retinotopy; Silhouette; Object (grammar); Cognitive neuroscience of visual object recognition; Voxel; Artificial intelligence; Visual field; Computer vision; Psychology; Pattern recognition (psychology); Computer science; Communication; Neuroscience","score_opus":0.03107239817877561,"score_gpt":0.2594577507809972,"score_spread":0.2283853526022216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291155702","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4127424,0.0000119962715,0.000008854655,0.00008904023,0.00076380867,0.00082090136,0.00013029967,0.0002486955,0.585184],"genre_scores_gemma":[0.75483227,0.00004182241,0.000009795397,0.00026832768,0.00012152811,0.0000980258,0.000034927554,0.00013082831,0.24446249],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977349,0.000096231335,0.00045962853,0.0008939112,0.00045118408,0.0003641252],"domain_scores_gemma":[0.99899334,0.00014709165,0.00042734944,0.000303607,0.00005341409,0.000075182455],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017338162,0.00042188997,0.000400066,0.0006115599,0.00027365383,0.00015874759,0.00035990338,0.00021324554,0.0011226656],"category_scores_gemma":[0.0001768932,0.0004501439,0.00017601109,0.000070136564,0.000092961134,0.00023783956,0.00041336095,0.001349357,0.00014489208],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004088462,0.00003778074,0.000034884728,0.00007086374,0.000021826785,0.00087101304,0.00017102453,0.000009824159,0.95501375,0.0008091623,0.00009203082,0.04245898],"study_design_scores_gemma":[0.0018221145,0.00055632513,0.0015953786,0.0018477888,0.00007320887,0.00032628493,0.0001469738,0.00014529249,0.9406551,0.01847852,0.03217884,0.002174174],"about_ca_topic_score_codex":0.00014508882,"about_ca_topic_score_gemma":0.0000688279,"teacher_disagreement_score":0.34208983,"about_ca_system_score_codex":0.00033217116,"about_ca_system_score_gemma":0.000049234328,"threshold_uncertainty_score":0.999795},"labels":[],"label_agreement":null},{"id":"W4291222663","doi":"10.1016/j.neuroimage.2022.119561","title":"Quantifying rhythmicity in perceptual reports","year":2022,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Agence Nationale de la Recherche; Fundação de Amparo à Pesquisa do Estado de São Paulo; Deutsche Forschungsgemeinschaft","keywords":"Statistics; Mathematics; Range (aeronautics); Population; Sensitivity (control systems); Bonferroni correction; Sample size determination; Weighting; Computer science","score_opus":0.07349068611584214,"score_gpt":0.28945830941035855,"score_spread":0.2159676232945164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291222663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948336,0.0000048627753,0.000034332996,0.00053279276,0.0010369763,0.0001634647,0.000009558191,0.00009283388,0.0032915762],"genre_scores_gemma":[0.9967672,0.0000052315895,0.000029143312,0.0024196755,0.00003898293,0.000023015406,0.0000031180389,0.000019461884,0.0006941206],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984518,0.0002267237,0.0002305607,0.0005206521,0.0003235033,0.0002467159],"domain_scores_gemma":[0.999477,0.000119432465,0.0000840331,0.00027282504,0.0000069293956,0.000039729213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022980213,0.00009920827,0.000111647685,0.00012506402,0.00027993493,0.00004316263,0.00012170559,0.000015531054,0.0004186135],"category_scores_gemma":[0.0003493086,0.00010594428,0.000053997952,0.00042143487,0.000042635515,0.00015604956,0.00024177796,0.00041020027,0.000021717859],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024490546,0.00007333463,0.0037591509,0.000004600945,2.2243198e-7,0.0027954422,0.000117321346,0.0007305628,0.9898747,0.0006644909,0.00053117337,0.0014244757],"study_design_scores_gemma":[0.0021653478,0.0014467766,0.6057384,0.000025171468,0.000020349937,0.0148094725,0.00082776946,0.113339834,0.12094293,0.0041854195,0.13467954,0.0018189651],"about_ca_topic_score_codex":0.00004357083,"about_ca_topic_score_gemma":0.000018093242,"teacher_disagreement_score":0.86893183,"about_ca_system_score_codex":0.000056368895,"about_ca_system_score_gemma":0.000021678845,"threshold_uncertainty_score":0.45835242},"labels":[],"label_agreement":null},{"id":"W4291551895","doi":"10.7554/elife.73155","title":"Local field potentials reflect cortical population dynamics in a region-specific and frequency-dependent manner","year":2022,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Neurological Disorders and Stroke; National Science Foundation; European Research Council; Ministerio de Ciencia e Innovación; Engineering and Physical Sciences Research Council; Comunidad de Madrid","keywords":"Local field potential; Neuroscience; Dynamics (music); Population; Correlation; Psychology; Mathematics","score_opus":0.028427686962117497,"score_gpt":0.2612568158898857,"score_spread":0.2328291289277682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291551895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912255,0.000045834568,0.0052086646,0.0019136016,0.00062867923,0.00019608498,0.000010194668,0.000048012313,0.00072346546],"genre_scores_gemma":[0.9978591,0.00006344286,0.000043720003,0.0016249616,0.000041853644,0.000024681389,0.000014519758,0.00001295096,0.00031474893],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99866414,0.00019134756,0.0002312763,0.0003655594,0.00035167616,0.00019597083],"domain_scores_gemma":[0.9995703,0.00014114806,0.00005957339,0.000163286,0.000011694031,0.00005395881],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018693836,0.000093487164,0.00011700269,0.00010785889,0.00023231795,0.00004044702,0.000089687295,0.000044227632,0.00008304769],"category_scores_gemma":[0.00011852964,0.00009300293,0.00003291538,0.00022610363,0.000033334305,0.00009897989,0.00012222792,0.00032656328,0.0000074553695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011413854,0.0008718541,0.0858281,0.0000702062,0.000017038716,0.0031574972,0.0005131551,0.008572891,0.3275017,0.5020034,0.005728341,0.06459443],"study_design_scores_gemma":[0.004223351,0.0034245255,0.20906971,0.00008318631,0.000046384008,0.0025651727,0.0014417566,0.6981571,0.024213007,0.04929217,0.0055386443,0.0019450104],"about_ca_topic_score_codex":0.00021605493,"about_ca_topic_score_gemma":0.00027389225,"teacher_disagreement_score":0.6895842,"about_ca_system_score_codex":0.00020825137,"about_ca_system_score_gemma":0.000011773672,"threshold_uncertainty_score":0.37925494},"labels":[],"label_agreement":null},{"id":"W4291570820","doi":"10.32470/ccn.2022.1311-0","title":"Using Massive Individual fMRI Movie Data to Align Artificial and Brain Representations in an Auditory Network","year":2022,"lang":"en","type":"article","venue":"2022 Conference on Cognitive Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut Universitaire de Gériatrie de Montréal; Université de Montréal","funders":"","keywords":"Computer science; Functional magnetic resonance imaging; Artificial intelligence; Speech recognition; Natural language processing; Psychology; Neuroscience","score_opus":0.2869422172437027,"score_gpt":0.38944523186935875,"score_spread":0.10250301462565603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291570820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97565264,0.000004867731,0.016997846,0.0033805217,0.0015199606,0.0007793348,0.0013246462,0.000058628906,0.0002815589],"genre_scores_gemma":[0.98767763,0.000003308476,0.00045125486,0.011397825,0.0001488185,0.00007091252,0.00017576179,0.000017656283,0.000056835303],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99599063,0.00084677205,0.00033448046,0.0014386245,0.0009911846,0.00039832367],"domain_scores_gemma":[0.9980523,0.0011922645,0.00017532962,0.00028621402,0.00011185734,0.00018205016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006159763,0.0001978275,0.0001779563,0.00032159084,0.0011210601,0.0003044933,0.0007181319,0.00002753642,0.00010585631],"category_scores_gemma":[0.0014839456,0.00022746492,0.000023607763,0.0013937742,0.00029060477,0.0006371652,0.0011591077,0.00041859323,0.000008622677],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028866954,0.0004637349,0.0018287693,0.000008047129,0.0000030198225,0.00024809787,0.0005879504,0.74806947,0.18792073,0.04871957,0.001263468,0.010598446],"study_design_scores_gemma":[0.00033687628,0.00055535114,0.03423031,0.000024040213,0.000008862757,0.000043728938,0.00047441,0.94862235,0.00032683395,0.014881109,0.00018479116,0.00031136922],"about_ca_topic_score_codex":0.00002082842,"about_ca_topic_score_gemma":0.000039743052,"teacher_disagreement_score":0.20055284,"about_ca_system_score_codex":0.000061192535,"about_ca_system_score_gemma":0.0003217391,"threshold_uncertainty_score":0.92757505},"labels":[],"label_agreement":null},{"id":"W4291796132","doi":"10.1101/2022.08.11.503675","title":"Functional organization of mouse auditory cortex in response to stimulus complexity and brain state","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Canadian Institutes of Health Research; Alberta Innovates; Natural Sciences and Engineering Research Council of Canada; Alzheimer Society; University of Lethbridge","keywords":"Auditory cortex; Neuroscience; Stimulus (psychology); Functional organization; Sensory system; Cerebral cortex; Biology; Psychology; Cognitive psychology","score_opus":0.024092901284570336,"score_gpt":0.23188276892740095,"score_spread":0.2077898676428306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291796132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951968,0.000015288633,0.0011014559,0.00075776945,0.0014151329,0.0006811926,0.00068120455,0.00014930568,0.0000018193258],"genre_scores_gemma":[0.9985799,0.000027761216,0.00033305745,0.00076626084,0.00008882654,0.00005965442,0.0000010022821,0.00008183897,0.00006169193],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9971213,0.0005707424,0.00050168,0.0009837248,0.0005030605,0.00031950968],"domain_scores_gemma":[0.9982294,0.00040971008,0.00034726263,0.00061064557,0.00022520161,0.00017781259],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00082298886,0.00032293444,0.00038499295,0.0005046528,0.0001831612,0.000093844494,0.0003071305,0.00014872925,0.00016590914],"category_scores_gemma":[0.0021683255,0.0003805746,0.00004693632,0.0010544099,0.00015689814,0.00013745626,0.0008269006,0.0006008415,0.00001595172],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038798247,0.0001323611,0.004975032,0.00009768681,0.000008386462,0.00003164402,0.000016949713,0.0027323214,0.9907636,0.0003523821,0.00050030486,0.0000013709829],"study_design_scores_gemma":[0.000649481,0.00015967645,0.7748781,0.000060011967,0.000013361332,4.5452563e-8,0.0000037118916,0.0027956325,0.21971466,0.000010399117,0.001233034,0.00048189334],"about_ca_topic_score_codex":0.000059885435,"about_ca_topic_score_gemma":0.00000792871,"teacher_disagreement_score":0.7710489,"about_ca_system_score_codex":0.000377276,"about_ca_system_score_gemma":0.00041197237,"threshold_uncertainty_score":0.99986464},"labels":[],"label_agreement":null},{"id":"W4292399759","doi":"10.1101/2022.08.16.504134","title":"Separate and shared low-dimensional neural architectures for error-based and reinforcement motor learning","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Reinforcement learning; Neural system; Motor learning; Reinforcement; Sensory system; Neuroscience; Computer science; Artificial neural network; Motor cortex; Mean squared prediction error; Motor system; Task (project management); Artificial intelligence; Psychology; Machine learning; Engineering","score_opus":0.02127783533806647,"score_gpt":0.24040760743915726,"score_spread":0.2191297721010908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292399759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996191,0.0001526116,0.0004968075,0.00040238482,0.00087252347,0.0012724601,0.00036182778,0.00024718343,0.0000031834156],"genre_scores_gemma":[0.99724674,0.000016669239,0.0008594066,0.0011231571,0.00015126327,0.0004638875,0.0000017736621,0.00009568415,0.00004139548],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972504,0.00018976573,0.00039801298,0.0012459093,0.0004187927,0.0004971559],"domain_scores_gemma":[0.9985257,0.00033158454,0.00035929013,0.00044901474,0.00010518073,0.00022924537],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00036927138,0.00048614855,0.00040696136,0.00026775335,0.0006129146,0.000283836,0.00026987848,0.00018485794,0.00006666931],"category_scores_gemma":[0.000498107,0.00049396965,0.00012470776,0.00021138358,0.00014835701,0.00006534356,0.00063782657,0.000848787,0.0000025929814],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031742887,0.00004381942,0.0008035054,0.00039148913,0.000020571591,0.000031607302,0.000007865793,0.07659838,0.9215214,0.00018997701,0.000067634006,0.000006300319],"study_design_scores_gemma":[0.0017275432,0.0006325717,0.026176134,0.00019268802,0.00009017142,1.5389102e-7,0.0000025535974,0.8188412,0.14678286,0.000010877698,0.004405021,0.0011382303],"about_ca_topic_score_codex":0.000018011473,"about_ca_topic_score_gemma":9.707217e-7,"teacher_disagreement_score":0.77473855,"about_ca_system_score_codex":0.00011773707,"about_ca_system_score_gemma":0.00018888313,"threshold_uncertainty_score":0.9997512},"labels":[],"label_agreement":null},{"id":"W4292448945","doi":"10.1093/cercor/bhac289","title":"Delay-related activity in marmoset prefrontal cortex","year":2022,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada First Research Excellence Fund","keywords":"Marmoset; Prefrontal cortex; Neuroscience; Ventrolateral prefrontal cortex; Psychology; Consumer neuroscience; Cognitive psychology; Biology; Cognition","score_opus":0.018865528001502485,"score_gpt":0.23803842594222135,"score_spread":0.21917289794071887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292448945","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923359,0.000011996253,0.000019869316,0.00030876143,0.0011501003,0.00035533844,0.00009357736,0.000118599164,0.0056058345],"genre_scores_gemma":[0.9954913,0.0000055727296,0.00001007547,0.0007325832,0.00002756151,0.0000525293,0.000028143679,0.00002752367,0.0036246604],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99815327,0.0002464301,0.00024491327,0.00059439015,0.00037314414,0.00038785138],"domain_scores_gemma":[0.999402,0.000101110025,0.00012197218,0.00027670478,0.000010731571,0.00008748124],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00016602522,0.00017576742,0.00019128695,0.00013398124,0.0003163336,0.00004236908,0.00030265594,0.000056977686,0.0014695748],"category_scores_gemma":[0.000071471004,0.00018024404,0.00008997599,0.0005767749,0.00006992061,0.00024602286,0.00033023668,0.00060020917,0.00008723395],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029009397,0.00035042022,0.008390687,0.000011220922,0.0000063554094,0.00028401607,0.00014151164,0.00030323706,0.9727318,0.0026098944,0.0011512091,0.013729531],"study_design_scores_gemma":[0.0018586551,0.00091497443,0.8732111,0.000011350249,0.0000200128,0.0004345833,0.00012166477,0.099089235,0.012927841,0.0047663264,0.005906272,0.0007380005],"about_ca_topic_score_codex":0.0001473036,"about_ca_topic_score_gemma":0.000112711554,"teacher_disagreement_score":0.959804,"about_ca_system_score_codex":0.00023409499,"about_ca_system_score_gemma":0.00005648545,"threshold_uncertainty_score":0.99944323},"labels":[],"label_agreement":null},{"id":"W4292707814","doi":"10.3389/fncom.2022.980613","title":"Combining backpropagation with Equilibrium Propagation to improve an Actor-Critic reinforcement learning framework","year":2022,"lang":"en","type":"article","venue":"Frontiers in Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Royal University; University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Compute Canada","keywords":"Backpropagation; Reinforcement learning; Computer science; Artificial intelligence; Variety (cybernetics); Artificial neural network; Task (project management); Machine learning; Propagation of uncertainty; Algorithm; Engineering","score_opus":0.018713650393969508,"score_gpt":0.2571294174646655,"score_spread":0.238415767070696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292707814","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5644624,0.0000022559984,0.43212423,0.0007803976,0.0018257553,0.0005783498,0.000007012884,0.000095252406,0.00012433535],"genre_scores_gemma":[0.9888147,8.649076e-7,0.007915314,0.0028314819,0.000047235895,0.00014160167,0.00002424633,0.000026366677,0.00019817607],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970485,0.0003189452,0.00032466016,0.00085393357,0.0010508691,0.00040310257],"domain_scores_gemma":[0.9992536,0.00017942033,0.00016650895,0.00019264867,0.00006550936,0.00014236553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039874087,0.00018294333,0.00016275264,0.00035680248,0.00068716664,0.00019934123,0.00042557783,0.000028393919,0.000016536525],"category_scores_gemma":[0.00057384354,0.00018611965,0.00002975303,0.0014613428,0.00013292817,0.0007548195,0.00022358337,0.0005363645,0.0000038708727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012774013,0.00007808035,0.0018369368,0.000009388147,4.6081743e-7,0.000018845018,0.00024406973,0.88534874,0.10684513,0.0037700217,0.000048918755,0.0016716501],"study_design_scores_gemma":[0.00037207713,0.0016693405,0.004497655,0.000019675465,0.0000031602494,0.00003009629,0.00019363675,0.98363537,0.003591369,0.005380033,0.0003449246,0.00026269475],"about_ca_topic_score_codex":0.000007985418,"about_ca_topic_score_gemma":7.776059e-7,"teacher_disagreement_score":0.4243523,"about_ca_system_score_codex":0.0002475957,"about_ca_system_score_gemma":0.00014083061,"threshold_uncertainty_score":0.75897396},"labels":[],"label_agreement":null},{"id":"W4292707928","doi":"10.3389/fphys.2022.955566","title":"The effects of membrane potential oscillations on the excitability of rat hypoglossal motoneurons","year":2022,"lang":"en","type":"article","venue":"Frontiers in Physiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Natural Science Foundation of China; National Institutes of Health; National Science Foundation","keywords":"Membrane potential; Biophysics; Electrophysiology; Depolarization; Chemistry; Neuroscience; Sodium channel; Tonic (physiology); Calcium; Resting potential; Afterhyperpolarization; Potassium channel; Noise (video); Ion channel; Sodium; Biology; Biochemistry; Receptor","score_opus":0.008863634784095444,"score_gpt":0.21314396843459318,"score_spread":0.20428033365049775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292707928","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99388486,0.000023309163,0.0000951806,0.00079116534,0.0045483876,0.00043148926,0.000017992983,0.000010083901,0.00019752294],"genre_scores_gemma":[0.9994281,0.000034291857,0.000016457276,0.00026543968,0.000025928959,0.00006326834,0.000002354789,0.000007082961,0.00015708462],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99844146,0.00075022085,0.0002057119,0.00024286687,0.00018470378,0.00017503991],"domain_scores_gemma":[0.9983264,0.0011709364,0.00013259891,0.00033909047,0.000015524794,0.00001543906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020385574,0.00008379096,0.00016515606,0.000055551736,0.0003450458,0.0000044905073,0.0003282051,0.000025081465,0.000018297058],"category_scores_gemma":[0.0006745701,0.000051471015,0.00008583299,0.00030412976,0.0004111239,0.000029033085,0.00015214308,0.00024419528,6.385367e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021439148,0.00011109356,0.00018079826,0.000015536583,0.0000047176877,0.000001676247,0.000060320734,0.0059331874,0.98738575,0.004176122,0.0013992834,0.00051715114],"study_design_scores_gemma":[0.0022974042,0.0036102377,0.13127108,0.00002305934,0.000055741173,0.000019277926,0.0006340559,0.1424553,0.58463264,0.12863241,0.0058993823,0.0004694357],"about_ca_topic_score_codex":0.000013098448,"about_ca_topic_score_gemma":0.0000018182945,"teacher_disagreement_score":0.4027531,"about_ca_system_score_codex":0.00003276754,"about_ca_system_score_gemma":0.000025895099,"threshold_uncertainty_score":0.26538482},"labels":[],"label_agreement":null},{"id":"W4293063570","doi":"10.3389/fncom.2022.903883","title":"Patterns of synchronization in 2D networks of inhibitory neurons","year":2022,"lang":"en","type":"article","venue":"Frontiers in Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Generalization; Diagonal; Synchronization (alternating current); Coupling (piping); Inhibitory postsynaptic potential; Computer science; Stability (learning theory); Artificial neural network; Torus; Network model; Topology (electrical circuits); Symmetry (geometry); Biological system; Statistical physics; Physics; Neuroscience; Mathematics; Artificial intelligence; Biology; Machine learning; Combinatorics; Geometry","score_opus":0.01420734766405686,"score_gpt":0.2289128659102113,"score_spread":0.21470551824615441,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293063570","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8275228,0.00002375596,0.16942482,0.00018705156,0.0024883721,0.00023291438,0.000047659232,0.000015614378,0.000057012672],"genre_scores_gemma":[0.9989884,0.000013687962,0.00038666104,0.0005285699,0.000015588847,0.000016897204,0.00000798252,0.000010503022,0.000031707405],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99817896,0.00026447434,0.0004114341,0.00041395397,0.0005289825,0.00020221387],"domain_scores_gemma":[0.9993956,0.00019098463,0.00022545835,0.00012782856,0.000027564816,0.000032559816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024379366,0.00009787709,0.0001696139,0.00042536203,0.00010983724,0.0000124411,0.0003425972,0.000021443999,0.000009981047],"category_scores_gemma":[0.0002192517,0.00011314617,0.0000404844,0.0013282981,0.00012757326,0.0001957926,0.00019402205,0.00024367138,1.5886074e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026550539,0.00014251283,0.07542966,0.000012258225,2.1397823e-7,0.0000148400595,0.00005305619,0.90921444,0.012581612,0.0011167953,0.00009313751,0.00131492],"study_design_scores_gemma":[0.00029208983,0.00014414416,0.12608397,0.000011855492,0.0000013075793,0.000011477292,0.00003463902,0.87121785,0.0006519066,0.0013926487,0.000074225296,0.00008389999],"about_ca_topic_score_codex":0.000019349181,"about_ca_topic_score_gemma":0.0000040106797,"teacher_disagreement_score":0.1714656,"about_ca_system_score_codex":0.000086175336,"about_ca_system_score_gemma":0.00008552192,"threshold_uncertainty_score":0.4613967},"labels":[],"label_agreement":null},{"id":"W4293109604","doi":"10.3389/fphys.2022.931147","title":"Resting state electroretinography: An innovative approach to intrinsic retinal function monitoring","year":2022,"lang":"en","type":"article","venue":"Frontiers in Physiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Hôpital Maisonneuve-Rosemont; École de Technologie Supérieure; McGill University Health Centre; Montreal Children's Hospital","funders":"Canadian Institutes of Health Research","keywords":"Retinal; Electroretinography; Erg; Retina; Stimulus (psychology); Neuroscience; Electrophysiology; Scotopic vision; Photic Stimulation; Evoked potential; Retinal Disorder; Electroencephalography; Ophthalmology; Medicine; Audiology; Biology; Psychology; Visual perception","score_opus":0.021833682447449126,"score_gpt":0.24688401459007775,"score_spread":0.22505033214262862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293109604","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99268997,0.000011808908,0.003844931,0.000064061875,0.0022775636,0.00032618328,0.000008556889,0.0000827987,0.00069414196],"genre_scores_gemma":[0.99674267,0.000005580325,0.0023061607,0.00050631596,0.00014941089,0.00017293084,0.000021953674,0.000021456888,0.00007350461],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998039,0.00046726892,0.00023583171,0.00063715206,0.00020093177,0.00041979796],"domain_scores_gemma":[0.99952364,0.000047890113,0.000116246316,0.0002152811,0.000041452044,0.000055480683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002820359,0.00014831591,0.00020554838,0.0004581532,0.0003346589,0.000020485742,0.00025495712,0.000032882548,0.0000057840334],"category_scores_gemma":[0.00014226761,0.00015626122,0.000032037784,0.002035435,0.00007418186,0.00015517813,0.00017930249,0.00055576337,0.0000018023355],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010558311,0.0001694145,0.013520722,0.000011009107,0.000006404256,0.0000064865467,0.00065189146,0.009426719,0.9558113,0.0011871889,0.0006491067,0.017503921],"study_design_scores_gemma":[0.0024129301,0.008541371,0.76690835,0.000032145403,0.000024128674,0.00007319485,0.0035920949,0.058925316,0.08508297,0.06362004,0.009158865,0.0016285669],"about_ca_topic_score_codex":0.000027335569,"about_ca_topic_score_gemma":7.544682e-7,"teacher_disagreement_score":0.8707283,"about_ca_system_score_codex":0.000147144,"about_ca_system_score_gemma":0.000031967764,"threshold_uncertainty_score":0.6372147},"labels":[],"label_agreement":null},{"id":"W4293197071","doi":"10.1007/978-1-0716-1006-0_166","title":"Neuronal Model Reduction","year":2022,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Reduction (mathematics); Computer science; Mathematics; Geometry","score_opus":0.030719397142248913,"score_gpt":0.25051211172338295,"score_spread":0.21979271458113403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293197071","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008358254,0.000030457848,0.0041322256,0.0008892746,0.004315006,0.0006146552,0.00042875257,0.00018528175,0.9810461],"genre_scores_gemma":[0.20212574,0.0011932849,0.0014678184,0.0026159862,0.00044038412,0.000048321697,0.00011873194,0.00018595638,0.7918038],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964731,0.000059842958,0.00058998785,0.0010537418,0.0015379493,0.00028539146],"domain_scores_gemma":[0.99860084,0.00027713345,0.00058299117,0.00032033602,0.000093400835,0.00012528518],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001580958,0.00035745822,0.00032898082,0.00035579744,0.00038530937,0.000042023206,0.00064958713,0.00009696806,0.00040958432],"category_scores_gemma":[0.00023366278,0.00038712376,0.0002062697,0.00020660037,0.00045972646,0.00038364518,0.00033372402,0.0006300712,0.000029639223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035694407,0.000056047855,0.0000015935269,0.00002258149,0.0000012251081,0.00001890805,0.00003331601,0.5592306,0.012970804,0.42315692,0.0018892423,0.0025830283],"study_design_scores_gemma":[0.00032680095,0.00045494025,0.00015952956,0.00003124162,0.000033155513,0.0002499978,0.000002222025,0.431499,0.0006929606,0.33927444,0.22655274,0.00072297076],"about_ca_topic_score_codex":0.0000021009696,"about_ca_topic_score_gemma":2.7740452e-7,"teacher_disagreement_score":0.22466351,"about_ca_system_score_codex":0.00007842208,"about_ca_system_score_gemma":0.00036609668,"threshold_uncertainty_score":0.9998581},"labels":[],"label_agreement":null},{"id":"W4293198466","doi":"10.1007/978-1-0716-1006-0_731","title":"Local Field Potential, Synchrony of","year":2022,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; University of Calgary","funders":"","keywords":"Local field potential; Field (mathematics); Geography; Psychology; Mathematics; Neuroscience; Pure mathematics","score_opus":0.014834600217721497,"score_gpt":0.23620682573079657,"score_spread":0.22137222551307506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293198466","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008074733,0.00012814197,0.048323885,0.001114378,0.0057008206,0.0007915607,0.0004909359,0.00011858297,0.93525696],"genre_scores_gemma":[0.8758158,0.0008953733,0.00046344424,0.0021512846,0.00013529135,0.000013858088,0.000036647638,0.000071658265,0.12041661],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99714464,0.00005629879,0.00061518943,0.00068980135,0.001276183,0.0002179103],"domain_scores_gemma":[0.99822706,0.00067310873,0.00062889024,0.00028637203,0.000097341515,0.00008723434],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013892807,0.00026510397,0.00036467105,0.00027599616,0.00017983901,0.000017930732,0.00064752717,0.00009813412,0.0008544155],"category_scores_gemma":[0.00028979624,0.00027470847,0.00020591207,0.00018591995,0.00054412434,0.0002007783,0.0003407233,0.00041922266,0.000013538577],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012775473,0.00020602834,0.000019287902,0.000193858,0.000006888027,0.00019155517,0.00006666745,0.31799418,0.028581984,0.626387,0.0047227796,0.021502024],"study_design_scores_gemma":[0.0010300102,0.0042372406,0.0010302718,0.00021818883,0.00011831146,0.00044231964,0.000015579279,0.16267891,0.009161508,0.28311625,0.53634214,0.0016092462],"about_ca_topic_score_codex":0.000009604623,"about_ca_topic_score_gemma":8.8208645e-7,"teacher_disagreement_score":0.8677411,"about_ca_system_score_codex":0.00003973136,"about_ca_system_score_gemma":0.00026301836,"threshold_uncertainty_score":0.9999705},"labels":[],"label_agreement":null},{"id":"W4293499407","doi":"10.21203/rs.3.rs-1903144/v1","title":"What computations can be done with traveling waves in visual cortex?","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Vector Institute; Canadian Open Neuroscience Platform; Compute Canada; Canada First Research Excellence Fund; National Science Foundation","keywords":"Computation; Visual cortex; Traveling wave; Cortex (anatomy); Computer science; Neuroscience; Physics; Psychology; Mathematics; Mathematical analysis; Algorithm","score_opus":0.10462800126898471,"score_gpt":0.4066540036757479,"score_spread":0.3020260024067632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293499407","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932345,0.00008970664,0.00017021409,0.0039211083,0.0006581569,0.0011923467,0.00015225272,0.000074956784,0.00050672627],"genre_scores_gemma":[0.99716234,0.00065761356,0.00006173294,0.000261956,0.00009969225,0.00024950507,0.0002243044,0.000049190792,0.0012336889],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99570376,0.0008420777,0.00029851223,0.0009683054,0.0015638997,0.00062343123],"domain_scores_gemma":[0.9982928,0.0009171222,0.000092880924,0.0003864254,0.0001598934,0.0001508906],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00084453716,0.0002231445,0.00027723832,0.0005660519,0.0005229624,0.0006373937,0.00044855408,0.00011988181,0.00021262582],"category_scores_gemma":[0.00035749195,0.00020165018,0.00007676196,0.0010589105,0.00021741475,0.00020334049,0.0009665982,0.0024372865,0.000008399794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025363301,0.004726323,0.013776445,0.0056838538,0.00013883405,0.0067234854,0.025217518,0.48838577,0.35288522,0.02383618,0.002145583,0.07394449],"study_design_scores_gemma":[0.0037494125,0.0046577095,0.105607346,0.003957554,0.00004065895,0.0001727819,0.029048467,0.81425476,0.013543763,0.016021876,0.006457323,0.002488373],"about_ca_topic_score_codex":0.0007726728,"about_ca_topic_score_gemma":0.0016521974,"teacher_disagreement_score":0.33934143,"about_ca_system_score_codex":0.0003987045,"about_ca_system_score_gemma":0.00047968118,"threshold_uncertainty_score":0.9998641},"labels":[],"label_agreement":null},{"id":"W4293637556","doi":"10.1101/2022.08.17.504249","title":"Behavioral entrainment to rhythmic auditory stimulation can be modulated by tACS depending on the electrical stimulation field properties","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"H. Lundbeck A/S; Lundbeckfonden","keywords":"Transcranial alternating current stimulation; Entrainment (biomusicology); Perception; Rhythm; Neuroscience; Stimulation; Auditory cortex; Local field potential; Psychology; Physics; Acoustics; Transcranial magnetic stimulation","score_opus":0.033655074684455395,"score_gpt":0.2444896051736418,"score_spread":0.2108345304891864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293637556","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99291503,0.00002828041,0.0007147107,0.0016972611,0.0022032645,0.0019037323,0.00021814357,0.0003136793,0.000005894156],"genre_scores_gemma":[0.9965394,0.00002523661,0.000080082165,0.0025184392,0.00033419832,0.00037414388,0.0000020613406,0.0001014733,0.0000249414],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99634707,0.00040995338,0.0005060277,0.0011982387,0.0009534236,0.0005852705],"domain_scores_gemma":[0.9982309,0.00027404094,0.0003362845,0.000846995,0.000112190486,0.00019963125],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004254561,0.00050644664,0.00034009604,0.00026500778,0.00067330373,0.00031588157,0.00052238593,0.00028861678,0.00016345533],"category_scores_gemma":[0.0005842648,0.00043849746,0.00013184942,0.00062073744,0.000050544786,0.00012725148,0.00044249636,0.0011387803,0.000017687917],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011686319,0.00018541836,0.00044158593,0.000026410527,0.000014104232,0.000024440942,0.000026402955,0.01923884,0.9784822,0.0002857578,0.0011435621,0.0000144000205],"study_design_scores_gemma":[0.0004126568,0.0006605458,0.012155547,0.0001165974,0.00007879422,6.19384e-8,0.000005094252,0.0892802,0.8931626,0.0000055272403,0.003246109,0.00087627507],"about_ca_topic_score_codex":0.00009844702,"about_ca_topic_score_gemma":0.0000035053931,"teacher_disagreement_score":0.08531963,"about_ca_system_score_codex":0.001003614,"about_ca_system_score_gemma":0.00021780613,"threshold_uncertainty_score":0.9998067},"labels":[],"label_agreement":null},{"id":"W4293659516","doi":"10.3390/brainsci12091135","title":"Parietal Alpha Oscillations: Cognitive Load and Mental Toughness","year":2022,"lang":"en","type":"article","venue":"Brain Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Russian Science Foundation","keywords":"Psychology; Mental toughness; Cognition; Alpha (finance); Cognitive psychology; Raven's Progressive Matrices; Task (project management); Trait; Aptitude; Elementary cognitive task; Intelligence quotient; Developmental psychology; Neuroscience; Psychometrics; Medicine; Internal consistency","score_opus":0.0410437311463335,"score_gpt":0.2927289107882292,"score_spread":0.25168517964189574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293659516","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98661625,0.000059129423,0.000058426675,0.005084689,0.00071050564,0.00022722917,0.000063025844,0.000049962975,0.0071307807],"genre_scores_gemma":[0.99540013,0.000012332205,0.000034817607,0.003201232,0.000035936548,0.000031738684,0.0000030265187,0.0000045574034,0.0012762079],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984612,0.00014559574,0.000120011246,0.00045592122,0.0006074295,0.0002098414],"domain_scores_gemma":[0.9992793,0.00052084005,0.00006481195,0.00006304296,0.000017575543,0.000054392356],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00050826085,0.00008618501,0.00007862693,0.000071632116,0.0016648178,0.0001446925,0.00018438259,0.000013055503,0.00023072377],"category_scores_gemma":[0.0005575978,0.00007539877,0.000028412267,0.0006204282,0.0005572936,0.000323424,0.00025387222,0.00009896773,0.000011682972],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025331907,0.00050575455,0.023022309,0.000031292704,0.000015769403,0.00010975499,0.0065113367,0.00064433395,0.6985557,0.102784984,0.01833718,0.14922823],"study_design_scores_gemma":[0.007105309,0.0067515783,0.09302698,0.00009675044,0.000066331115,0.0024919892,0.030391099,0.3565308,0.07459858,0.08061483,0.3447348,0.003590982],"about_ca_topic_score_codex":0.000027775845,"about_ca_topic_score_gemma":0.000014626031,"teacher_disagreement_score":0.62395716,"about_ca_system_score_codex":0.00004042669,"about_ca_system_score_gemma":0.00008544297,"threshold_uncertainty_score":0.99963486},"labels":[],"label_agreement":null},{"id":"W4293720290","doi":"10.1016/j.neuroimage.2022.119593","title":"Resolving the mesoscopic missing link: Biophysical modeling of EEG from cortical columns in primates","year":2022,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Eye Institute; National Institute of Mental Health; NIH Office of the Director; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Local field potential; Computer science; Electroencephalography; Neuroscience; Macaque; Artificial intelligence; Psychology","score_opus":0.036704525406604335,"score_gpt":0.26475369787648456,"score_spread":0.2280491724698802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293720290","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99555314,0.000019272391,0.00042900656,0.0029767128,0.00032582934,0.00018592147,0.000033267293,0.00004281045,0.00043402953],"genre_scores_gemma":[0.9987343,0.000009459455,0.000121218654,0.00098947,0.000046324658,0.000014328712,0.0000041973053,0.000020581008,0.00006012925],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983702,0.0003354955,0.0002895026,0.0003938959,0.0003524796,0.00025845508],"domain_scores_gemma":[0.99892795,0.0006410529,0.00008249692,0.00029470213,0.000012156728,0.000041666102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001799006,0.00010653866,0.00016564908,0.000061508406,0.00033808497,0.00006028563,0.00031330241,0.000022626265,0.00007673031],"category_scores_gemma":[0.00045604215,0.000089894704,0.000062880354,0.00030908672,0.000095233234,0.00010530909,0.00031243855,0.0005405018,0.000004882088],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039236864,0.000074047,0.00044539853,0.0000074294903,8.826485e-7,0.000043005337,0.000116990304,0.0074192616,0.99055946,0.00053342385,0.000042408075,0.00071845873],"study_design_scores_gemma":[0.000248852,0.000093251554,0.0072354404,0.000011825941,0.000008481826,0.000007081937,0.00003831154,0.96830994,0.022239925,0.0015246614,0.00018888459,0.00009332272],"about_ca_topic_score_codex":0.00014628952,"about_ca_topic_score_gemma":0.000009438535,"teacher_disagreement_score":0.96831954,"about_ca_system_score_codex":0.000044689095,"about_ca_system_score_gemma":0.000042564523,"threshold_uncertainty_score":0.36657995},"labels":[],"label_agreement":null},{"id":"W4293787223","doi":"10.1101/2022.08.30.505888","title":"Signature of random connectivity in the distribution of neuronal tuning curves","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Azrieli Foundation; Israel Science Foundation; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; European Commission; International Development Research Centre","keywords":"Neuroscience; Inhibitory postsynaptic potential; Population; Neuron; Excitatory postsynaptic potential; Distribution (mathematics); Transformation (genetics); Computer science; Biological system; Physics; Topology (electrical circuits); Mathematics; Biology; Mathematical analysis","score_opus":0.01885214307583364,"score_gpt":0.22839509705125136,"score_spread":0.20954295397541772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293787223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996244,0.00033618833,0.0005500307,0.00042087256,0.0008323158,0.00072801945,0.0008272834,0.00005173582,0.000009532804],"genre_scores_gemma":[0.99916005,0.00029365905,0.000021331576,0.00033572657,0.000061841776,0.00009604636,0.0000014016895,0.000028642933,0.000001307766],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99723995,0.00083137245,0.0004701184,0.00062330166,0.0005766645,0.0002585999],"domain_scores_gemma":[0.99784565,0.0007338691,0.00058206107,0.0006696604,0.00012472994,0.000044053264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011364092,0.00026860568,0.0004519393,0.00012764064,0.000121533994,0.00003700214,0.00064352655,0.00016506079,0.000035663914],"category_scores_gemma":[0.0016370934,0.00022979124,0.00016334261,0.00077038695,0.00015683255,0.00011166896,0.000409506,0.0011276463,8.168483e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000119170785,0.00019251462,0.0026608778,0.00049514894,0.000009427129,0.000020255917,0.00000983211,0.0009010983,0.9930129,0.0024547107,0.00012258657,0.0000014685081],"study_design_scores_gemma":[0.001609463,0.0002379838,0.35401925,0.00078478595,0.00009988423,7.024465e-8,0.000009507106,0.0099360375,0.6312641,0.000036097754,0.0013590743,0.00064376235],"about_ca_topic_score_codex":0.000048565904,"about_ca_topic_score_gemma":0.0000017694591,"teacher_disagreement_score":0.36174884,"about_ca_system_score_codex":0.00009381809,"about_ca_system_score_gemma":0.0002026159,"threshold_uncertainty_score":0.9370615},"labels":[],"label_agreement":null},{"id":"W4293799681","doi":"10.1101/2022.08.18.504295","title":"Supraorbital whiskers act as wind-antennae in rat anemotaxis","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Whisker; Airflow; Whiskers; Anatomy; Materials science; Medicine; Physics; Composite material","score_opus":0.018283812072552592,"score_gpt":0.23125230560181365,"score_spread":0.21296849352926106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293799681","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99250543,0.00013536598,0.000032502725,0.0008050102,0.004741065,0.0009926494,0.00023606913,0.00042926375,0.00012262708],"genre_scores_gemma":[0.9976621,0.00024646602,0.00017450248,0.0012495384,0.00027071068,0.00014343772,7.5873805e-7,0.00017482978,0.000077610595],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99514854,0.0004483685,0.00069450843,0.0019795655,0.0008281615,0.0009008556],"domain_scores_gemma":[0.99745226,0.00022802493,0.00046204356,0.0014388624,0.00012110942,0.00029768675],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006723369,0.00072685676,0.0006609235,0.0006243375,0.00033423697,0.00036535528,0.000993825,0.00042286504,0.0005755987],"category_scores_gemma":[0.0010744827,0.00080427434,0.00026775314,0.001277091,0.0001871276,0.0003646961,0.0012567249,0.0020230175,0.0001894829],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010881234,0.00022204613,0.0072615864,0.00013588423,0.000017755723,0.00073133764,0.000014718275,0.00040365398,0.98963666,0.0010901734,0.00037397494,0.0000034225786],"study_design_scores_gemma":[0.002610031,0.00073366874,0.13615672,0.0005308197,0.00013811642,8.007565e-7,0.000033426917,0.008310431,0.80184704,0.00005762323,0.04545414,0.0041271923],"about_ca_topic_score_codex":0.00020528988,"about_ca_topic_score_gemma":0.000011106004,"teacher_disagreement_score":0.18778962,"about_ca_system_score_codex":0.0006658121,"about_ca_system_score_gemma":0.00063974736,"threshold_uncertainty_score":0.9994408},"labels":[],"label_agreement":null},{"id":"W4293864110","doi":"10.1101/2022.08.25.505270","title":"Intrinsic neural diversity quenches the dynamic volatility of neural networks","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; University of Toronto; University Health Network","funders":"","keywords":"Neuroscience; Robustness (evolution); Homeostatic plasticity; Default mode network; Artificial neural network; Biology; Brain function; Network dynamics; Computer science; Artificial intelligence; Synaptic plasticity; Cognition; Mathematics; Metaplasticity","score_opus":0.02034827157943802,"score_gpt":0.2183449012752465,"score_spread":0.19799662969580847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293864110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935321,0.0002606104,0.00048200533,0.0005762511,0.0037044734,0.000868146,0.0002908419,0.00027722027,0.000008308378],"genre_scores_gemma":[0.9988857,0.000118073156,0.000053504315,0.00061796117,0.00017624651,0.00007048458,5.5459464e-7,0.00006905676,0.000008415755],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9961396,0.0006753281,0.0006054903,0.0012659022,0.00071416935,0.000599537],"domain_scores_gemma":[0.9968651,0.00041347696,0.00073485496,0.0016150593,0.00020595458,0.0001655502],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007144802,0.0005495058,0.000568422,0.00019034557,0.0009615528,0.00016074163,0.0015421401,0.0002879768,0.00012741356],"category_scores_gemma":[0.0005907361,0.00047593727,0.00033455962,0.0008724746,0.00044232886,0.00022757414,0.0045575188,0.0018852864,0.0000041549883],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042375046,0.00057263754,0.087316655,0.000590769,0.00014488664,0.00022866705,0.0000734184,0.04251316,0.86543083,0.0022755505,0.0003385875,0.00009110287],"study_design_scores_gemma":[0.00037502244,0.00013602214,0.35322592,0.00004341492,0.00012902947,8.876116e-8,0.0000064923743,0.6306763,0.014377594,0.000021176176,0.00029894564,0.00070996216],"about_ca_topic_score_codex":0.00020622932,"about_ca_topic_score_gemma":0.000013106268,"teacher_disagreement_score":0.85105324,"about_ca_system_score_codex":0.00033724072,"about_ca_system_score_gemma":0.00015247572,"threshold_uncertainty_score":0.9997692},"labels":[],"label_agreement":null},{"id":"W4294237697","doi":"10.1038/s41467-022-32646-w","title":"Small, correlated changes in synaptic connectivity may facilitate rapid motor learning","year":2022,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Biotechnology and Biological Sciences Research Council; Engineering and Physical Sciences Research Council; Research Councils UK; Wellcome Trust; Simons Foundation","keywords":"Covariance; Neuroscience; Adaptation (eye); Inhibitory postsynaptic potential; Nerve net; Computer science; Local adaptation; Motor learning; Artificial neural network; Biology; Artificial intelligence; Mathematics; Statistics; Medicine","score_opus":0.0641229947724604,"score_gpt":0.27656637719997607,"score_spread":0.21244338242751565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294237697","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9806342,0.00093943183,0.000031553587,0.013896888,0.0005868128,0.00050648226,0.00008573646,0.00020884012,0.0031100458],"genre_scores_gemma":[0.99722314,0.0003536902,0.000096543234,0.0010374157,0.000009108427,0.00017222961,0.00005176039,0.0000150399555,0.0010410676],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99821544,0.0009853496,0.00014779832,0.00028297552,0.00016518513,0.00020327278],"domain_scores_gemma":[0.99773383,0.0013202606,0.00009974532,0.00077424414,0.000031968928,0.000039927905],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0004094004,0.00011022363,0.00013057195,0.00018767179,0.0008314024,0.00003221234,0.00080441625,0.000099412806,0.00011279924],"category_scores_gemma":[0.0012298083,0.000116073585,0.000046222234,0.00072122767,0.00010003709,0.00007950195,0.0007083733,0.0024627978,0.000019261885],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022180189,0.00088023016,0.01015216,0.00002958306,0.000033128257,0.000035379133,0.0020565435,0.0055494243,0.9094092,0.042180497,0.0009084811,0.028543575],"study_design_scores_gemma":[0.0020845563,0.0012622252,0.05192027,0.000049879654,0.000051390223,0.00017009788,0.0017100851,0.42431954,0.0062646256,0.002017578,0.5090791,0.0010706313],"about_ca_topic_score_codex":0.000050824125,"about_ca_topic_score_gemma":0.00071760576,"teacher_disagreement_score":0.9031446,"about_ca_system_score_codex":0.00014489178,"about_ca_system_score_gemma":0.000030710213,"threshold_uncertainty_score":0.99983853},"labels":[],"label_agreement":null},{"id":"W4294292785","doi":"10.1101/2022.08.31.506056","title":"Nonlinear computation by a habenula-driven recurrent inhibitory network in the raphe","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Facilitation; Inhibitory postsynaptic potential; Raphe; Neuroscience; Serotonergic; Psychology; Serotonin; Medicine; Internal medicine; Receptor","score_opus":0.01975449088871361,"score_gpt":0.23594476873945194,"score_spread":0.21619027785073833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294292785","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913727,0.0005004936,0.0007124217,0.00078780577,0.0045856587,0.0013813578,0.0003750317,0.00025643417,0.000028091621],"genre_scores_gemma":[0.9965251,0.0002715355,0.0005480964,0.0015763432,0.000649789,0.0003336457,0.000002805964,0.00008751629,0.000005162658],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9961629,0.0008375255,0.000569305,0.0011555718,0.00071344455,0.0005612383],"domain_scores_gemma":[0.9982655,0.0003179798,0.00046474687,0.0007652688,0.00007938334,0.00010712364],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00083845697,0.00045296943,0.00038885276,0.00019170681,0.00039949385,0.00027971913,0.0008147889,0.00024309821,0.000042454772],"category_scores_gemma":[0.00024855352,0.00041336287,0.00016263193,0.0010641008,0.00012302915,0.00014148874,0.0006227043,0.00163414,0.000022909106],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013119796,0.0007673847,0.0030060576,0.00026271265,0.00003053321,0.00017924795,0.000060060225,0.022944378,0.9548834,0.001234278,0.016464323,0.000036452613],"study_design_scores_gemma":[0.004491643,0.0014491278,0.06866301,0.0014488405,0.00031248506,4.1631773e-7,0.00005285557,0.5019592,0.15778767,0.00014885222,0.25788337,0.0058025066],"about_ca_topic_score_codex":0.00003050504,"about_ca_topic_score_gemma":0.0000053350177,"teacher_disagreement_score":0.7970957,"about_ca_system_score_codex":0.00028866023,"about_ca_system_score_gemma":0.00023436273,"threshold_uncertainty_score":0.9998318},"labels":[],"label_agreement":null},{"id":"W4294818997","doi":"10.1073/pnas.2118163119","title":"Physiological noise facilitates multiplexed coding of vibrotactile-like signals in somatosensory cortex","year":2022,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"","keywords":"Stimulus (psychology); Neuroscience; Somatosensory system; Neural coding; ENCODE; Computer science; Biology; Psychology","score_opus":0.07977867599562685,"score_gpt":0.3006528554732737,"score_spread":0.22087417947764684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294818997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982438,0.0000138168425,2.6929715e-7,0.0007017003,0.000039262843,0.0002180781,0.00005404317,0.000010527943,0.0007185221],"genre_scores_gemma":[0.9993973,0.000013416097,0.00011054728,0.00033919766,0.000012369575,0.000019477735,1.3103126e-7,0.0000028637824,0.000104740444],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99800026,0.000031456162,0.0003831279,0.0003132554,0.0011150076,0.00015686342],"domain_scores_gemma":[0.99894345,0.00046716607,0.0004771877,0.000008719367,0.000081214406,0.000022270968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081640005,0.000087666645,0.00018336336,0.0001953266,0.00025136775,0.0000110693245,0.00068447064,0.000036455825,0.000038977334],"category_scores_gemma":[0.0011377807,0.00006099629,0.0000848214,0.0009804254,0.0007016046,0.00030454004,0.00028774585,0.0002216493,5.9465486e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003823837,0.000085515654,0.0021862376,0.00003442638,0.0000015522978,1.6813049e-8,0.00011942062,0.0018445754,0.98739785,0.008118102,0.00009381023,0.000080277954],"study_design_scores_gemma":[0.00024266492,0.00013654128,0.081383996,0.000033670884,0.0000028712661,0.000008077189,0.00040049595,0.028263414,0.86916196,0.02021587,0.000062188046,0.00008824121],"about_ca_topic_score_codex":0.0000067329183,"about_ca_topic_score_gemma":3.3342722e-8,"teacher_disagreement_score":0.118235864,"about_ca_system_score_codex":0.000036996633,"about_ca_system_score_gemma":0.000021248556,"threshold_uncertainty_score":0.25850913},"labels":[],"label_agreement":null},{"id":"W4294844329","doi":"10.1371/journal.pcbi.1010427","title":"MouseNet: A biologically constrained convolutional neural network model for the mouse visual cortex","year":2022,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute on Drug Abuse; National Institutes of Health","keywords":"Visual cortex; Computer science; Artificial intelligence; Convolutional neural network; Pattern recognition (psychology); Connectome; Artificial neural network; Visual processing; Cognitive neuroscience of visual object recognition; Neuroscience; Object (grammar); Biology; Functional connectivity; Perception","score_opus":0.05421912008504706,"score_gpt":0.28008198540537,"score_spread":0.22586286532032293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294844329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.856595,0.00005129048,0.13634376,0.0042315633,0.00056855346,0.0009434074,0.0009999204,0.00017394581,0.00009257908],"genre_scores_gemma":[0.99090856,0.00000431435,0.0011401675,0.006730783,0.00018083934,0.00029089552,0.00043807912,0.000014885868,0.0002914632],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99850464,0.00023264652,0.00028054585,0.00045568583,0.00018478303,0.0003416879],"domain_scores_gemma":[0.9973697,0.0022620407,0.00014693741,0.00009306166,0.000077241224,0.00005099874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018995337,0.00015184854,0.00017057497,0.000046725287,0.0009889381,0.000026738915,0.0002919983,0.000052982192,0.00012441706],"category_scores_gemma":[0.00021500651,0.00011047349,0.000112279304,0.00018495592,0.0003371949,0.00003883044,0.00019631317,0.00022717283,0.000008118183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019727375,0.00010823345,0.0002257099,0.0000021220092,0.000017590537,0.0000014986632,0.000013735796,0.816646,0.08017185,0.10137623,0.00078129553,0.00045848262],"study_design_scores_gemma":[0.0005159981,0.00043030005,0.0006171454,4.873261e-7,0.000011478354,0.000041582127,0.000010382233,0.96003735,0.000090353824,0.037505314,0.00060287304,0.00013674605],"about_ca_topic_score_codex":0.0000028247161,"about_ca_topic_score_gemma":0.0000022435108,"teacher_disagreement_score":0.14339136,"about_ca_system_score_codex":0.00005374744,"about_ca_system_score_gemma":0.000102517995,"threshold_uncertainty_score":0.76062125},"labels":[],"label_agreement":null},{"id":"W4294845329","doi":"10.1101/2022.09.05.506681","title":"Neural cognitive signals during spontaneous movements in the macaque","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Cognition; Neurophysiology; Macaque; Neuroscience; Psychology; Task (project management); Prefrontal cortex; Movement (music); Neuron; Posterior parietal cortex; Cognitive psychology","score_opus":0.020722639766228658,"score_gpt":0.23391046188093226,"score_spread":0.2131878221147036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294845329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99613214,0.00007449273,0.00003012292,0.00028830962,0.0014496334,0.0013547963,0.00042013376,0.00019884581,0.000051531075],"genre_scores_gemma":[0.9966869,0.00010638814,0.00002104609,0.0023076837,0.000238346,0.0005106753,5.38126e-7,0.000100939615,0.000027493064],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99594665,0.00070373697,0.0005428466,0.0013194098,0.0008042352,0.00068313896],"domain_scores_gemma":[0.9981823,0.00041784442,0.00039575167,0.0007904887,0.00009108769,0.00012254517],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00049779133,0.0005375056,0.0004183684,0.0003303766,0.00043502823,0.00032990472,0.0010172107,0.00021660261,0.00023329453],"category_scores_gemma":[0.00059595704,0.00048674134,0.00017337261,0.0007859683,0.00011489312,0.0001691218,0.00089991366,0.001680454,0.000037607926],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012959115,0.00021308332,0.0017646659,0.00013363181,0.000018186798,0.00428628,0.000040138486,0.0008874747,0.99228585,0.00021689519,0.000022014749,0.0000021709213],"study_design_scores_gemma":[0.002149537,0.00033824943,0.21617258,0.00048749414,0.00009765043,0.0000030930091,0.000084852254,0.010626326,0.7666474,0.000035590252,0.001098525,0.0022586912],"about_ca_topic_score_codex":0.00007476448,"about_ca_topic_score_gemma":0.0000070592005,"teacher_disagreement_score":0.22563846,"about_ca_system_score_codex":0.00032671535,"about_ca_system_score_gemma":0.00016387191,"threshold_uncertainty_score":0.9997584},"labels":[],"label_agreement":null},{"id":"W4295037454","doi":"10.1016/j.tins.2022.08.007","title":"How critical is brain criticality?","year":2022,"lang":"en","type":"review","venue":"Trends in Neurosciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":261,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute; Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Criticality; Edge of chaos; Computer science; Cognitive science; Cognition; Self-organized criticality; Neuroscience; Metric (unit); Randomness; Field (mathematics); Psychology; Artificial intelligence; Physics; Mathematics; Engineering","score_opus":0.21752050369053863,"score_gpt":0.41863388210674873,"score_spread":0.2011133784162101,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295037454","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000041956817,0.95275444,0.000035407425,0.019977866,0.013683832,0.00054157333,0.00060572353,0.00033041823,0.012028812],"genre_scores_gemma":[0.00040160172,0.9821325,0.000022879727,0.004536812,0.00016590956,0.00016024036,0.000011704203,0.000056764948,0.0125116035],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99436414,0.0011035176,0.0006130947,0.0019244222,0.001111089,0.0008837518],"domain_scores_gemma":[0.99497384,0.003993555,0.00016974728,0.0006396732,0.000011741606,0.00021144573],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00054597214,0.0005483296,0.0011439522,0.001076518,0.00050250103,0.00072838704,0.001456423,0.00017773223,0.001020673],"category_scores_gemma":[0.00592571,0.0004449288,0.00051639054,0.0039464473,0.0009791024,0.0005416775,0.00052463077,0.0011700715,0.00002548689],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002595916,0.00016483395,0.0000015020156,0.00086780835,7.8946994e-7,0.00028509158,0.000022067383,4.417309e-7,0.00010711949,0.013341662,0.0026221655,0.98258394],"study_design_scores_gemma":[0.00006914386,0.00021700724,0.0000042821844,0.00027426562,0.000035715475,0.00021072192,0.000013516506,0.00031630322,0.000021859023,0.0009868959,0.99739385,0.00045643927],"about_ca_topic_score_codex":0.000009692779,"about_ca_topic_score_gemma":0.0000067310734,"teacher_disagreement_score":0.99477166,"about_ca_system_score_codex":0.000119484954,"about_ca_system_score_gemma":0.00012839778,"threshold_uncertainty_score":0.99989253},"labels":[],"label_agreement":null},{"id":"W4295338951","doi":"10.1101/2022.09.12.506984","title":"Epiphenomenal neural activity in the primate cortex","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Yale University","keywords":"Neural activity; Neuroscience; Brain activity and meditation; Dissociation (chemistry); Neural ensemble; Prefrontal cortex; Cognition; Brain function; Primate; Sentence; Psychology; Neural correlates of consciousness; Computer science; Cognitive psychology; Artificial intelligence; Electroencephalography; Chemistry","score_opus":0.025509274359364745,"score_gpt":0.24385406617179609,"score_spread":0.21834479181243133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295338951","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99517995,0.000060675156,0.00010031432,0.00095375744,0.0022063956,0.0009610512,0.00023737857,0.00023162925,0.00006882814],"genre_scores_gemma":[0.9975145,0.00009153183,0.00007157295,0.0016205083,0.00024700226,0.00036101456,2.2030936e-7,0.00008317609,0.000010497724],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9962227,0.0007200192,0.00040990594,0.0012725558,0.00072399754,0.0006508263],"domain_scores_gemma":[0.99783564,0.0002914168,0.00041388726,0.0012819418,0.00005863519,0.000118512435],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00087853294,0.000490812,0.00042646806,0.00025881152,0.0003906434,0.00035296194,0.0012145154,0.0001962565,0.00013445756],"category_scores_gemma":[0.0003366228,0.00042150708,0.00017115653,0.0008585079,0.00014554073,0.00022583472,0.0009720684,0.0018688198,0.00003135196],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006353568,0.00023484882,0.0019896557,0.000102665734,0.000008715,0.00020126415,0.000014888704,0.00050192414,0.99514055,0.0016370558,0.0000981938,0.0000067022493],"study_design_scores_gemma":[0.0011544405,0.0003055618,0.75378317,0.0001123293,0.00008921569,2.524379e-7,0.000010761518,0.035384484,0.19815572,0.00004918543,0.009075061,0.0018798035],"about_ca_topic_score_codex":0.000062218205,"about_ca_topic_score_gemma":0.000003974637,"teacher_disagreement_score":0.79698485,"about_ca_system_score_codex":0.0003598505,"about_ca_system_score_gemma":0.00024545178,"threshold_uncertainty_score":0.9998237},"labels":[],"label_agreement":null},{"id":"W4295487996","doi":"10.7554/elife.77348","title":"Time-resolved parameterization of aperiodic and periodic brain activity","year":2022,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":108,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute of Biomedical Imaging and Bioengineering; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada First Research Excellence Fund; Health Canada; National Institutes of Health","keywords":"Aperiodic graph; Computer science; Artificial neural network; Sprint; Spectral density; Artificial intelligence; Statistical physics; Biological system; Pattern recognition (psychology); Mathematics; Physics; Biology","score_opus":0.01901392412226826,"score_gpt":0.23733425720960602,"score_spread":0.21832033308733775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295487996","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982848,0.000010523607,0.0001417747,0.00097310514,0.0001521594,0.00013478115,0.00003203344,0.000036378195,0.00023441162],"genre_scores_gemma":[0.99819297,0.00000688981,0.000024583871,0.0011440858,0.000017659138,0.000017760063,0.0000053123463,0.000008994503,0.0005817212],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916667,0.00015279122,0.00010168931,0.00022279522,0.00024850754,0.000107546046],"domain_scores_gemma":[0.9996229,0.00012680091,0.00007971727,0.00012416166,0.000010066349,0.000036373018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001408126,0.00006771885,0.000103279184,0.00005669844,0.00024650944,0.00002484387,0.00006686413,0.000017178532,0.00022040808],"category_scores_gemma":[0.00027917535,0.00006761815,0.000030001938,0.00020007245,0.00009582968,0.00008802365,0.00012113297,0.00010090141,0.000008474439],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046973124,0.00003944459,0.00023628217,0.0000070976384,0.0000011593495,0.0000035013436,0.00016179756,0.00012714532,0.99496657,0.00016590989,0.0002697736,0.003974378],"study_design_scores_gemma":[0.0016446204,0.0016692625,0.039637722,0.000015791778,0.00002539812,0.00013768509,0.0002355484,0.5498211,0.3708721,0.0002967853,0.035045464,0.00059855724],"about_ca_topic_score_codex":0.000008314164,"about_ca_topic_score_gemma":8.9057914e-7,"teacher_disagreement_score":0.6240944,"about_ca_system_score_codex":0.000019317893,"about_ca_system_score_gemma":0.000022627553,"threshold_uncertainty_score":0.2757388},"labels":[],"label_agreement":null},{"id":"W4295874847","doi":"10.1101/2022.09.09.507300","title":"Intrinsic reward-like dopamine and acetylcholine dynamics in striatum","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institutes of Health; York University; Yale University","keywords":"Neuroscience; Striatum; Dopamine; Acetylcholine; Tonic (physiology); Psychology; Cholinergic; Glutamatergic; Biology; Glutamate receptor","score_opus":0.017466351456545452,"score_gpt":0.22603564849777547,"score_spread":0.20856929704123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295874847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937375,0.0002635811,0.00015014857,0.00076888537,0.0033232016,0.0008829641,0.0005208062,0.00032633005,0.000026561142],"genre_scores_gemma":[0.9972914,0.00095054123,0.00041135948,0.00072125165,0.00026216955,0.00018099962,0.0000014198537,0.00013783509,0.00004305557],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9961195,0.00032908085,0.0006700257,0.0016718715,0.00054985,0.0006596697],"domain_scores_gemma":[0.9978529,0.00020652983,0.00043675493,0.0011533303,0.00011264195,0.00023783054],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006905054,0.00060131395,0.0006382981,0.00059267774,0.00023918129,0.00026973523,0.000661454,0.00037471246,0.000072312796],"category_scores_gemma":[0.0007627626,0.00066824834,0.00012013957,0.0010704022,0.00016232954,0.00021922721,0.0017131049,0.0018874265,0.000016130825],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002682564,0.00054039346,0.018361427,0.00061429775,0.000045468634,0.00060590415,0.00001473885,0.00067128637,0.96829104,0.01016937,0.0003385684,0.00007921576],"study_design_scores_gemma":[0.010110136,0.0011875755,0.57348496,0.001304762,0.0004269103,0.0000013696516,0.00006531472,0.13112763,0.21899736,0.00018050284,0.054299794,0.0088136885],"about_ca_topic_score_codex":0.00013631438,"about_ca_topic_score_gemma":0.000041870975,"teacher_disagreement_score":0.7492937,"about_ca_system_score_codex":0.0009648105,"about_ca_system_score_gemma":0.0002977202,"threshold_uncertainty_score":0.99957687},"labels":[],"label_agreement":null},{"id":"W4296001847","doi":"10.21203/rs.3.rs-2011398/v1","title":"Adaptive Unscented Kalman Filter for Neuronal State and Parameter Estimation","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Krembil Foundation; University of Toronto; University Health Network","funders":"","keywords":"Kalman filter; Control theory (sociology); Ensemble Kalman filter; Robustness (evolution); Unscented transform; Computer science; Alpha beta filter; Extended Kalman filter; Invariant extended Kalman filter; Adaptive filter; Fast Kalman filter; Benchmark (surveying); Residual; Kernel adaptive filter; Covariance; Filter (signal processing); Algorithm; Mathematics; Filter design; Artificial intelligence; Moving horizon estimation; Computer vision; Statistics","score_opus":0.1322949029979593,"score_gpt":0.3913180850829968,"score_spread":0.2590231820850375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296001847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98178655,0.00005777897,0.008883332,0.0021020416,0.0008332152,0.0038390947,0.001869186,0.00009959666,0.00052917603],"genre_scores_gemma":[0.99448174,0.00013272282,0.0007730172,0.00028327777,0.00008223404,0.0008796963,0.00023848037,0.000054600376,0.0030742423],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967717,0.00066173356,0.00023762016,0.0009313762,0.0008846494,0.0005129272],"domain_scores_gemma":[0.99748707,0.0017375256,0.000102253936,0.00037893152,0.00016286777,0.00013134132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006957771,0.00020652727,0.00020627273,0.00032935207,0.00048932456,0.00024287758,0.0003000545,0.000091374925,0.00023281778],"category_scores_gemma":[0.0014389879,0.00019350635,0.00010726282,0.0002536384,0.0001755373,0.00012730369,0.0011397336,0.0012425003,0.000017747087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.013621123,0.002891279,0.004591788,0.010711511,0.00027346238,0.0006915499,0.0049375365,0.17691804,0.20926233,0.04733075,0.061636914,0.46713373],"study_design_scores_gemma":[0.0006528922,0.0013394712,0.0071207895,0.0001411531,0.000011832148,0.000009790414,0.00007667718,0.930771,0.0041774423,0.049678195,0.00565743,0.00036330603],"about_ca_topic_score_codex":0.00005029049,"about_ca_topic_score_gemma":0.000013081159,"teacher_disagreement_score":0.75385296,"about_ca_system_score_codex":0.00015771462,"about_ca_system_score_gemma":0.00012490549,"threshold_uncertainty_score":0.78909594},"labels":[],"label_agreement":null},{"id":"W4296102910","doi":"10.3389/fnhum.2022.977776","title":"Multimodal resting-state connectivity predicts affective neurofeedback performance","year":2022,"lang":"en","type":"article","venue":"Frontiers in Human Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal; McGill University; Montreal Neurological Institute and Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Neurofeedback; Resting state fMRI; Functional connectivity; Psychology; Mind-wandering; Neuroscience; Cognitive psychology; Default mode network; Computer science; Electroencephalography; Cognition","score_opus":0.022648696927151882,"score_gpt":0.24695730910741812,"score_spread":0.22430861218026624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296102910","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9904107,0.000008186999,0.0021649785,0.00017021687,0.0053026364,0.00062311516,0.00004669962,0.00019241236,0.0010810567],"genre_scores_gemma":[0.99735796,0.00001277505,0.00010721484,0.001385856,0.000046298304,0.00013224903,0.0000023595917,0.00003585919,0.00091940584],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9962318,0.00062067463,0.00033581737,0.0012891075,0.00080002786,0.00072255207],"domain_scores_gemma":[0.99896336,0.00019518232,0.0002197813,0.0004589533,0.000026077198,0.00013664181],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00056552986,0.00027274402,0.00026933264,0.0004085628,0.001413517,0.00011639603,0.0009013841,0.000032834894,0.000019366846],"category_scores_gemma":[0.00085631764,0.0002952048,0.000076329314,0.001471564,0.00052120996,0.00064588693,0.0006332026,0.0008543445,0.0000021735782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021194575,0.00042421787,0.1104905,0.000035389417,0.0000010263851,0.00026757922,0.00053598545,0.13955605,0.7396618,0.00044255666,0.0014045225,0.006968422],"study_design_scores_gemma":[0.001304163,0.0010352407,0.22712311,0.000018811359,0.00000589358,0.00012005908,0.00007917046,0.72857094,0.038195997,0.0016961219,0.0012637053,0.0005867665],"about_ca_topic_score_codex":0.00003919454,"about_ca_topic_score_gemma":0.000005141179,"teacher_disagreement_score":0.7014658,"about_ca_system_score_codex":0.00024789906,"about_ca_system_score_gemma":0.00007143681,"threshold_uncertainty_score":0.99995},"labels":[],"label_agreement":null},{"id":"W4296343695","doi":"10.1101/2022.09.18.508403","title":"The Role of Frontal Eye Field in Saccadic Mixed-strategy Decision-making","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Saccadic masking; Task (project management); Psychology; Perception; Cognitive psychology; Neuroscience; Computer science; Eye movement; Economics","score_opus":0.011160655588907185,"score_gpt":0.237556102162893,"score_spread":0.2263954465739858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296343695","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959284,0.00066261186,0.00022627687,0.00011845093,0.0022313148,0.00051989336,0.000118524236,0.00010132847,0.00009320798],"genre_scores_gemma":[0.99897647,0.00027005546,0.00022079944,0.00020573396,0.00013133294,0.00012539748,8.422115e-8,0.00006357269,0.0000065749446],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99714506,0.00026217426,0.0006382826,0.00090458815,0.00056869444,0.00048117666],"domain_scores_gemma":[0.99735206,0.0009974865,0.00046760438,0.0010089327,0.00008403472,0.00008987667],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00063315406,0.00035862232,0.00039201244,0.00024767622,0.00033289235,0.00019459659,0.0010181039,0.0002668354,0.000113330025],"category_scores_gemma":[0.001244975,0.00031702078,0.00017308898,0.0006008129,0.00010512311,0.00013399444,0.00092884834,0.0011805075,0.000014357591],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014506519,0.00012781922,0.009642,0.00005362891,0.00001701379,0.00007793084,0.00000851051,0.0012670856,0.9834287,0.0048699565,0.000108545246,0.0002537166],"study_design_scores_gemma":[0.0008043845,0.00039381822,0.17885123,0.00071657746,0.00006758212,9.584027e-8,0.000054549277,0.024244303,0.77699435,0.0008490618,0.015573553,0.0014505131],"about_ca_topic_score_codex":0.00007919543,"about_ca_topic_score_gemma":0.000031555024,"teacher_disagreement_score":0.20643438,"about_ca_system_score_codex":0.0002262107,"about_ca_system_score_gemma":0.0003150866,"threshold_uncertainty_score":0.9999282},"labels":[],"label_agreement":null},{"id":"W4296344533","doi":"10.1101/2022.09.17.506014","title":"Distributed coding of evidence accumulation across the mouse brain using microcircuits with a diversity of timescales","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Group for Research in Decision Analysis","funders":"","keywords":"Neuroscience; Brain activity and meditation; Computer science; Biology; Electroencephalography","score_opus":0.10868004957283704,"score_gpt":0.2961206296839892,"score_spread":0.18744058011115217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296344533","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922212,0.0000678871,0.0052773547,0.00018674094,0.00025885826,0.00064179604,0.0012586424,0.000086923916,5.938348e-7],"genre_scores_gemma":[0.99950594,0.000053568783,0.00021062173,0.00012018799,0.00004390725,0.000018421071,6.914141e-7,0.000041877905,0.0000047826097],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975289,0.00033670312,0.00043152244,0.0007331379,0.0006242323,0.00034547743],"domain_scores_gemma":[0.9973123,0.00056768354,0.0009328136,0.0008249457,0.000286113,0.00007612629],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007567026,0.0003119536,0.00040856225,0.00010387439,0.00067126565,0.00009696023,0.00079484005,0.00015726486,0.000021538031],"category_scores_gemma":[0.0008841247,0.00023958833,0.00013298466,0.00078013353,0.00031786013,0.00025999986,0.0019209301,0.0005536918,0.0000011298969],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009044461,0.00006812276,0.01597802,0.00027450634,0.000027316113,0.0000106181915,0.000052225492,0.006215768,0.97708225,0.00017779003,0.000021512315,0.0000014332294],"study_design_scores_gemma":[0.00032901627,0.00008888667,0.07714518,0.0003962041,0.00007793918,6.659258e-8,0.000017199673,0.014592712,0.90688276,0.0000029475207,0.00008070844,0.00038636022],"about_ca_topic_score_codex":0.00017929691,"about_ca_topic_score_gemma":0.000005463859,"teacher_disagreement_score":0.07019947,"about_ca_system_score_codex":0.00026101473,"about_ca_system_score_gemma":0.0002222972,"threshold_uncertainty_score":0.9770129},"labels":[],"label_agreement":null},{"id":"W4296458639","doi":"10.1073/pnas.2201304119","title":"Multilevel development of cognitive abilities in an artificial neural network","year":2022,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine","funders":"Fonds de recherche du Québec; Institut de Valorisation des Données","keywords":"Cognition; Workspace; Perception; Computer science; Information processing; Cognitive psychology; Representation (politics); Connectionism; Artificial neural network; Psychology; Artificial intelligence; Neuroscience","score_opus":0.10631008348294786,"score_gpt":0.3237222065266319,"score_spread":0.21741212304368407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296458639","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987869,0.000006518246,8.193028e-7,0.00041917412,0.000050277173,0.00017497144,0.000019786285,0.000005580481,0.00053596566],"genre_scores_gemma":[0.9993648,8.5338445e-7,0.000284975,0.0002574299,0.00003134907,0.000021817963,1.6494377e-7,0.0000026099003,0.00003601758],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982397,0.000021625792,0.00036087158,0.00023681996,0.0010019128,0.00013904786],"domain_scores_gemma":[0.9992179,0.00031426924,0.00034363868,0.000004619177,0.00010195587,0.000017596343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011145588,0.000064370455,0.00011052448,0.0001325067,0.00033419408,0.000012343356,0.0004877273,0.000022500275,0.000021404765],"category_scores_gemma":[0.0007456426,0.000048496033,0.00003516109,0.000760816,0.00054780947,0.00033079128,0.00021873169,0.00016353089,1.6856413e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008015154,0.00015070292,0.0077445447,0.000024628123,0.0000016897803,1.0110849e-8,0.0014817388,0.0060507525,0.9439318,0.03745823,0.000024986954,0.0030507606],"study_design_scores_gemma":[0.00020194045,0.00017253595,0.16617697,0.0000529524,0.000003792717,0.0000056393333,0.0015976476,0.0665195,0.69702053,0.06809978,0.000027180893,0.0001215314],"about_ca_topic_score_codex":0.0000030638128,"about_ca_topic_score_gemma":4.0954407e-7,"teacher_disagreement_score":0.24691129,"about_ca_system_score_codex":0.000036514124,"about_ca_system_score_gemma":0.00004696746,"threshold_uncertainty_score":0.25703844},"labels":[],"label_agreement":null},{"id":"W4296473144","doi":"10.1121/2.0001624","title":"Does musical training affect neuro-cognition of emotions? An EEG study with Indian Classical Instrumental Music","year":2022,"lang":"en","type":"article","venue":"Proceedings of meetings on acoustics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Timbre; Electroencephalography; Psychology; Musical; Affect (linguistics); Cognitive psychology; Arousal; Cognition; Brain activity and meditation; Pitch (Music); Classical music; Audiology; Communication; Perception; Social psychology; Neuroscience; Art; Visual arts","score_opus":0.030688080761659433,"score_gpt":0.25136714918558367,"score_spread":0.22067906842392424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296473144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979163,2.5722056e-7,0.000021162221,0.00022864772,0.00033444507,0.000675081,0.00006249774,0.00009352008,0.0006681132],"genre_scores_gemma":[0.9990949,0.0000013039593,0.00022166315,0.0004533947,0.00008927238,0.000056663437,0.000007343055,0.00004365556,0.000031788102],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977255,0.000054122676,0.0003921459,0.0005986822,0.00092098967,0.00030855022],"domain_scores_gemma":[0.99890476,0.0002662153,0.00046497845,0.00010196608,0.00014407592,0.00011800393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044728458,0.00022801878,0.000308993,0.00027532116,0.00040353017,0.000064503656,0.00030900957,0.000049111888,0.0000417198],"category_scores_gemma":[0.00081662025,0.00016592047,0.0000622136,0.0006858711,0.00019851017,0.00026810763,0.00017174697,0.00051574456,0.0000010017866],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006096749,0.0017698279,0.002326457,0.00008775581,0.000012092364,0.000017193957,0.002986434,0.0003288638,0.9865955,0.0005918775,0.000073429284,0.0046009035],"study_design_scores_gemma":[0.016085733,0.124817826,0.15535806,0.00076755317,0.001163748,0.0007751645,0.18504733,0.13799314,0.37069067,0.003801209,0.0003931998,0.0031063505],"about_ca_topic_score_codex":0.000006196692,"about_ca_topic_score_gemma":0.0000036773338,"teacher_disagreement_score":0.6159048,"about_ca_system_score_codex":0.000059723337,"about_ca_system_score_gemma":0.000043270302,"threshold_uncertainty_score":0.67660403},"labels":[],"label_agreement":null},{"id":"W4296552502","doi":"10.1038/s42003-022-03967-9","title":"A Hidden Markov Model reveals magnetoencephalography spectral frequency-specific abnormalities of brain state power and phase-coupling in neuropathic pain","year":2022,"lang":"en","type":"article","venue":"Communications Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Brain Institute; St. Michael's Hospital; Toronto Western Hospital; Hospital for Sick Children; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research; Multiple Sclerosis Society; Multiple Sclerosis Society of Canada; University of Toronto; MAYDAY Fund","keywords":"Magnetoencephalography; Neuropathic pain; Neuroscience; Brain activity and meditation; Default mode network; Resting state fMRI; Neuromodulation; Electroencephalography; Psychology; Medicine; Functional magnetic resonance imaging; Central nervous system","score_opus":0.03887258076655126,"score_gpt":0.2830776442949092,"score_spread":0.24420506352835797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296552502","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993458,0.0010576498,0.0014229419,0.0026281034,0.00009623198,0.00029933226,0.00023259681,0.000043777974,0.00076136756],"genre_scores_gemma":[0.99615496,0.0011244587,0.0015575669,0.00092540286,0.000005056767,0.00008916895,0.00004322644,0.00001409941,0.000086078566],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99741495,0.0015045966,0.000414035,0.0003203756,0.000091111106,0.00025493457],"domain_scores_gemma":[0.99751264,0.001416776,0.00017367123,0.00082885637,0.000028344757,0.00003969701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016636003,0.00012622455,0.00020438267,0.0003290906,0.00031839084,0.000019228168,0.0007496857,0.000039111263,0.000054596596],"category_scores_gemma":[0.0003512616,0.00013118928,0.000055970515,0.00055390125,0.00052373286,0.000102433754,0.0005098094,0.00043116233,9.303289e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000845027,0.0003670749,0.01125919,0.000018954355,0.000005218345,0.000010632796,0.00100365,0.0009189403,0.9124847,0.06481444,0.00023352707,0.008799141],"study_design_scores_gemma":[0.0016137485,0.0016591587,0.008177608,0.00003216112,0.000010443042,0.00010773413,0.000723158,0.8198314,0.0012346137,0.16418985,0.0018544976,0.0005656453],"about_ca_topic_score_codex":0.000046230834,"about_ca_topic_score_gemma":0.00003530966,"teacher_disagreement_score":0.9112501,"about_ca_system_score_codex":0.000035438712,"about_ca_system_score_gemma":0.000034728186,"threshold_uncertainty_score":0.5349744},"labels":[],"label_agreement":null},{"id":"W4296713068","doi":"10.1152/jn.00114.2022","title":"Adaptation-induced plasticity in the sensory cortex","year":2022,"lang":"en","type":"review","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; York University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Neuroscience; Visual cortex; Neuroplasticity; Stimulus (psychology); Sensory system; Plasticity; Sensory Adaptation; Adaptation (eye); Receptive field; Neurochemical; Psychology; Cognitive psychology","score_opus":0.1500159138772869,"score_gpt":0.3292714650770018,"score_spread":0.17925555119971487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296713068","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2715994,0.6954709,0.00009128974,0.0009350585,0.026274914,0.0034190556,0.00021680871,0.000092538125,0.0018999678],"genre_scores_gemma":[0.007279375,0.9912913,0.000005562625,0.0009944667,0.0003332715,0.000010555655,0.0000024667404,0.00002793286,0.000055082608],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966669,0.0017346005,0.0007718475,0.0002840322,0.00033093715,0.00021169287],"domain_scores_gemma":[0.995682,0.0030106637,0.0010571397,0.00018485005,0.000025926192,0.000039408835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000096680946,0.00023010637,0.0008876262,0.00028557214,0.0001258804,0.00002679044,0.0006657591,0.0000940313,0.00007894337],"category_scores_gemma":[0.0011371513,0.00013678988,0.0003999021,0.00048067828,0.00006005289,0.00007914196,0.000090698006,0.0015439558,0.000020405441],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014951148,0.00040531586,2.1732238e-7,0.0012874305,0.000030923373,0.003975716,0.0001746288,0.0012897266,0.07675583,0.00094447396,0.00017790002,0.91480833],"study_design_scores_gemma":[0.00020061043,0.0012210399,0.000116744275,0.00021524035,0.00012245927,0.0027386677,0.000029392557,0.0009483972,0.000006855,0.00026780178,0.99395007,0.00018271062],"about_ca_topic_score_codex":0.0000033480135,"about_ca_topic_score_gemma":7.707034e-7,"teacher_disagreement_score":0.9937722,"about_ca_system_score_codex":0.00006133817,"about_ca_system_score_gemma":0.0001820503,"threshold_uncertainty_score":0.67078054},"labels":[],"label_agreement":null},{"id":"W4296776320","doi":"10.1093/cercor/bhac348","title":"Age-dependent increased sag amplitude in human pyramidal neurons dampens baseline cortical activity","year":2022,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network; Centre for Addiction and Mental Health","funders":"Natural Sciences and Engineering Research Council of Canada; Centre for Addiction and Mental Health","keywords":"Neuroscience; Human brain; Neuron; Extracellular; Premovement neuronal activity; Psychology; Biology; Cell biology","score_opus":0.03273147266628262,"score_gpt":0.27555717297900045,"score_spread":0.24282570031271783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296776320","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967386,0.000003043848,0.00018477453,0.000479068,0.00061351067,0.00042752395,0.00010849647,0.0001624383,0.0012825248],"genre_scores_gemma":[0.9968559,0.0000023828818,0.000013081321,0.001972471,0.00009441337,0.000068847716,0.000046689922,0.000041487066,0.00090473634],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9968977,0.0007491321,0.00035103905,0.00083928276,0.0006165511,0.00054630765],"domain_scores_gemma":[0.99884766,0.00034812637,0.00012464535,0.00046747617,0.000017837121,0.00019426564],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000437479,0.00024457663,0.00028914475,0.00017472934,0.0006602223,0.00010615852,0.00042111546,0.000056960576,0.0011695147],"category_scores_gemma":[0.00041986062,0.00025369963,0.000118644486,0.00047733716,0.00015160601,0.00019211216,0.00053352246,0.0009950625,0.000038789556],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018585745,0.0005933677,0.009941634,0.0000104856545,0.0000033931144,0.0005705972,0.000046355086,0.00031359197,0.98239636,0.004034666,0.00025686895,0.001646804],"study_design_scores_gemma":[0.0023915344,0.0008621884,0.9341439,0.00001029112,0.00003305938,0.00019572997,0.0000760243,0.036029477,0.021219634,0.0022888465,0.0020174657,0.00073186756],"about_ca_topic_score_codex":0.0005890699,"about_ca_topic_score_gemma":0.00056413555,"teacher_disagreement_score":0.96117675,"about_ca_system_score_codex":0.0002233777,"about_ca_system_score_gemma":0.00007115592,"threshold_uncertainty_score":0.99999154},"labels":[],"label_agreement":null},{"id":"W4296806557","doi":"10.1016/j.celrep.2022.111383","title":"Error correction and improved precision of spike timing in converging cortical networks","year":2022,"lang":"en","type":"article","venue":"Cell Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"H2020 European Research Council; European Research Council; Canadian Institutes of Health Research; Azrieli Foundation; Israel Science Foundation; United States-Israel Binational Science Foundation; Rosetrees Trust; International Development Research Centre","keywords":"Optogenetics; Neuroscience; Postsynaptic potential; Spike (software development); Biology; Interneuron; Noise (video); Coincidence detection in neurobiology; Computer science; Artificial intelligence; Inhibitory postsynaptic potential; Receptor; Coincidence; Medicine","score_opus":0.0192808850831782,"score_gpt":0.24347186133965493,"score_spread":0.22419097625647672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296806557","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99564946,0.00002254016,0.0008529782,0.000021217425,0.002222968,0.00018369644,6.0410736e-7,0.000020489135,0.0010260607],"genre_scores_gemma":[0.99893606,0.0000119562565,0.000017924,0.000086912914,0.000018982784,0.000011990546,0.0000032101334,0.000008962994,0.00090398703],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990505,0.00007888476,0.00029179364,0.00029655272,0.00014966942,0.00013257952],"domain_scores_gemma":[0.99945855,0.00017281828,0.00019133904,0.00013113367,0.000010946198,0.000035193727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031865283,0.00006461398,0.00010979029,0.00006867443,0.00012637282,0.000013286514,0.000033285083,0.000029291663,0.000046793943],"category_scores_gemma":[0.00021621597,0.000064707674,0.000023832428,0.00018901173,0.000032974775,0.0000649748,0.000114569346,0.00024413783,2.1535679e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006170839,0.000091576825,0.008926532,0.000014342868,6.334171e-7,0.0003050365,0.00011152847,0.015060646,0.96473956,0.000016622143,0.00022484355,0.010446952],"study_design_scores_gemma":[0.00020011475,0.00019396452,0.007667271,0.000011796103,0.0000064374653,0.0004281711,0.00009262338,0.9351007,0.05513485,0.00009096627,0.00096516113,0.00010794473],"about_ca_topic_score_codex":0.000036970756,"about_ca_topic_score_gemma":0.000006109634,"teacher_disagreement_score":0.9200401,"about_ca_system_score_codex":0.000040236,"about_ca_system_score_gemma":0.00001774265,"threshold_uncertainty_score":0.2638702},"labels":[],"label_agreement":null},{"id":"W4296848278","doi":"10.21203/rs.3.rs-2072358/v1","title":"Neural activation patterns evoked by social inference in the laboratory predict the number of real-life social contacts","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"National Institute of Mental Health","keywords":"Inference; Social life; Computer science; Psychology; Neuroscience; Artificial intelligence; Cognitive psychology; Sociology","score_opus":0.09293002479754116,"score_gpt":0.40784930091110866,"score_spread":0.3149192761135675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296848278","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9893592,0.0000070351866,0.000019823452,0.0064456156,0.00029771306,0.0012058275,0.0014040049,0.000034386358,0.001226413],"genre_scores_gemma":[0.99822795,0.0001146293,4.778882e-7,0.00050987786,0.00032144427,0.00045173988,0.00017971212,0.000029483768,0.00016466905],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99230385,0.00406152,0.00039799573,0.0005881911,0.002135536,0.000512918],"domain_scores_gemma":[0.99643606,0.0025674014,0.0002795664,0.00042550408,0.00023675672,0.000054712695],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0020811758,0.00021649619,0.0002753226,0.00013800971,0.00087045965,0.00021324895,0.0011450392,0.00021702886,0.0002942852],"category_scores_gemma":[0.0024326802,0.00014719523,0.00012803043,0.000853074,0.00030051277,0.0001699254,0.0010238703,0.002909029,0.0000064854044],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030704734,0.0031318343,0.38685468,0.0038062495,0.0001422213,0.000187958,0.05156036,0.0015018906,0.3948012,0.064384386,0.08141708,0.0091416715],"study_design_scores_gemma":[0.0013849067,0.00039525123,0.9646054,0.0001934578,0.000023318626,0.000002358488,0.007406694,0.012088652,0.0050156573,0.004411369,0.0038563395,0.0006165865],"about_ca_topic_score_codex":0.0016061702,"about_ca_topic_score_gemma":0.00013695327,"teacher_disagreement_score":0.57775074,"about_ca_system_score_codex":0.00027915923,"about_ca_system_score_gemma":0.00048012615,"threshold_uncertainty_score":0.9993913},"labels":[],"label_agreement":null},{"id":"W4297229778","doi":"10.1101/2022.09.23.509245","title":"Neural population dynamics of human working memory","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Eye Institute; York University","keywords":"Receptive field; Working memory; Neuroscience; Population; Dynamics (music); Saccade; Foveal; Visual cortex; Sensory system; Cortex (anatomy); Psychology; Computer science; Cognitive psychology; Eye movement; Cognition; Biology","score_opus":0.02862902457418198,"score_gpt":0.243424248078336,"score_spread":0.214795223504154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297229778","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953293,0.000065328306,0.00015773221,0.00017523456,0.0030713454,0.00061093457,0.00018922774,0.0003446339,0.000056254783],"genre_scores_gemma":[0.9989994,0.000031461062,0.00021275254,0.00023916963,0.00026995852,0.00009283642,0.0000022427478,0.00012890711,0.000023225666],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9967462,0.00031145313,0.0006899306,0.0011245873,0.00066854263,0.0004593199],"domain_scores_gemma":[0.99767923,0.00012236169,0.0008400108,0.0011142639,0.00010725123,0.00013685027],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00044623791,0.0004587854,0.00052830786,0.00039779468,0.0004222487,0.00015092501,0.0007402679,0.00028598768,0.00013826815],"category_scores_gemma":[0.00028475793,0.0005279764,0.00023010426,0.0006980872,0.000110160414,0.00016214587,0.00096990034,0.0010953742,0.0000064606247],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027979717,0.000121355064,0.011448717,0.00020987635,0.000017303444,0.000044246473,0.000005745733,0.002461611,0.9790287,0.0065908027,0.000032131153,0.000011542093],"study_design_scores_gemma":[0.001298014,0.0004249059,0.4005155,0.00053739524,0.00026611754,1.339566e-7,0.000014656716,0.16147389,0.43185467,0.0001572977,0.0006709592,0.0027864757],"about_ca_topic_score_codex":0.00015803966,"about_ca_topic_score_gemma":0.0000122366455,"teacher_disagreement_score":0.54717404,"about_ca_system_score_codex":0.0004961497,"about_ca_system_score_gemma":0.00010292815,"threshold_uncertainty_score":0.9997172},"labels":[],"label_agreement":null},{"id":"W4297341762","doi":"10.1101/2022.09.26.509498","title":"Preserved neural population dynamics across animals performing similar behaviour","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"","keywords":"Dynamics (music); Population; Neuroscience; Biology; Selection (genetic algorithm); Neural decoding; Neural activity; Psychology; Cognitive psychology; Artificial intelligence; Computer science; Decoding methods","score_opus":0.028823534468594557,"score_gpt":0.260853507540624,"score_spread":0.2320299730720294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297341762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928512,0.00009978128,0.00017200888,0.00036381857,0.0033432627,0.001103548,0.0013756817,0.0006804183,0.000010288477],"genre_scores_gemma":[0.9982507,0.00007578422,0.00038380295,0.00037886266,0.00036257226,0.00029079954,0.000004656313,0.0002218222,0.000030950436],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9950684,0.00038882444,0.0008025743,0.0018291777,0.00092696794,0.0009840736],"domain_scores_gemma":[0.9971434,0.00015965794,0.00074580475,0.0014757081,0.00019529239,0.00028015065],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007691516,0.00074214494,0.00063232624,0.00024693998,0.0010242923,0.00061731855,0.0011140206,0.00046747195,0.00014492965],"category_scores_gemma":[0.0007023155,0.00083743496,0.00031586236,0.00073951774,0.00010926685,0.00044981297,0.0019739233,0.001729827,0.000020517886],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012847636,0.00024465975,0.16922997,0.00035895396,0.000031244734,0.00018001122,0.000019596524,0.005976134,0.8222879,0.0014540256,0.00007800318,0.000011005073],"study_design_scores_gemma":[0.0006936445,0.00023136742,0.65991175,0.00013033295,0.00011966944,1.797005e-7,0.000014333054,0.25573128,0.08082411,0.00001693221,0.00064193463,0.0016844638],"about_ca_topic_score_codex":0.0002386644,"about_ca_topic_score_gemma":0.000019875157,"teacher_disagreement_score":0.74146384,"about_ca_system_score_codex":0.00086088077,"about_ca_system_score_gemma":0.000158767,"threshold_uncertainty_score":0.99940765},"labels":[],"label_agreement":null},{"id":"W4297373817","doi":"10.1016/j.tics.2022.08.011","title":"Going down to go up: understanding human auditory cognition by investigating cortical–subcortical interactions","year":2022,"lang":"en","type":"review","venue":"Trends in Cognitive Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"","keywords":"Psychology; Cognition; Cognitive science; Neuroscience; Auditory cortex; Cognitive psychology; Selective auditory attention; Process (computing); Selective attention","score_opus":0.5008343228439708,"score_gpt":0.47729659319662227,"score_spread":0.023537729647348515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297373817","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01671029,0.4980493,0.0058667,0.0017925019,0.03792132,0.0073161554,0.0039056214,0.0019129509,0.42652518],"genre_scores_gemma":[0.2584765,0.72876376,0.00018049336,0.0027367754,0.0010123594,0.0013189476,0.0007673761,0.00019660393,0.0065472047],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99542594,0.00083891733,0.0008247128,0.0014110572,0.0008364426,0.000662944],"domain_scores_gemma":[0.9952712,0.0038928827,0.00040653843,0.00015956932,0.00002843256,0.0002413657],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008456507,0.00044624426,0.0007654734,0.0012336842,0.0016842341,0.00035068358,0.0004889023,0.00011331705,0.0013688762],"category_scores_gemma":[0.002800095,0.00040271354,0.000249915,0.003745062,0.000946201,0.0004972809,0.00036258236,0.0012567013,0.00011570134],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015802709,0.00025026852,0.00003455089,0.0005458073,0.00002802796,0.000067254885,0.0003627903,0.000008863938,0.00311192,0.008886862,0.0047305697,0.98195726],"study_design_scores_gemma":[0.0015028031,0.0028278977,0.000101982376,0.026274648,0.0011989487,0.00040273654,0.0039504995,0.0036006991,0.0009432396,0.010051963,0.9448096,0.0043349657],"about_ca_topic_score_codex":0.0000127172725,"about_ca_topic_score_gemma":0.0000807667,"teacher_disagreement_score":0.97762233,"about_ca_system_score_codex":0.0006129073,"about_ca_system_score_gemma":0.0001623306,"threshold_uncertainty_score":0.99984246},"labels":[],"label_agreement":null},{"id":"W4297497819","doi":"10.1038/s41586-022-05270-3","title":"State-dependent pupil dilation rapidly shifts visual feature selectivity","year":2022,"lang":"en","type":"article","venue":"Nature","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":85,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"National Eye Institute; Interior Business Center; Deutsche Forschungsgemeinschaft; National Institute of General Medical Sciences; Carl-Zeiss-Stiftung; Intelligence Advanced Research Projects Activity; National Institutes of Health; National Science Foundation","keywords":"Pupillary response; Neuroscience; Stimulus (psychology); Visual cortex; Sensory system; Psychology; Pupil; Population; Context (archaeology); Cognitive psychology; Biology; Medicine","score_opus":0.009811840214285137,"score_gpt":0.2606941819688831,"score_spread":0.25088234175459795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297497819","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928545,0.000086439606,0.00012035551,0.0029071607,0.0018292229,0.00030117054,0.00009309356,0.00018042147,0.0016276365],"genre_scores_gemma":[0.9928809,0.000010637736,0.00001882046,0.003680863,0.00012366402,0.000027982067,0.000029176192,0.000023351155,0.0032046477],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982484,0.00023158084,0.00010107805,0.0004899698,0.0006691247,0.00025985396],"domain_scores_gemma":[0.99951893,0.00013019223,0.00009250994,0.00016399582,0.00003353676,0.00006081526],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0002240544,0.00014455421,0.000117024916,0.0001036199,0.00053948147,0.000074869306,0.00019958416,0.00026644845,0.00016360155],"category_scores_gemma":[0.00019414352,0.00013365378,0.000067644476,0.00057186035,0.00002188881,0.00021240056,0.00016000959,0.003196603,0.000017251792],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004105175,0.00034819244,0.0031378164,0.000020800182,0.000009926189,0.00010384998,0.00021305782,0.0026801855,0.9554378,0.0025519098,0.016966647,0.0181193],"study_design_scores_gemma":[0.0035996651,0.00221786,0.22249874,0.000021561644,0.00006204335,0.00036351982,0.00012388958,0.0714124,0.4632509,0.017300662,0.2172783,0.0018704387],"about_ca_topic_score_codex":0.000009099202,"about_ca_topic_score_gemma":0.000025882482,"teacher_disagreement_score":0.49218687,"about_ca_system_score_codex":0.00016026621,"about_ca_system_score_gemma":0.000048959722,"threshold_uncertainty_score":0.99910307},"labels":[],"label_agreement":null},{"id":"W4297636293","doi":"10.1523/jneurosci.23-37-11741.2003","title":"Synchronous, Focally Modulated β-Band Oscillations Characterize Local Field Potential Activity in the Striatum of Awake Behaving Monkeys","year":2003,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":288,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"National Institutes of Health; National Institute of Neurological Disorders and Stroke; National Eye Institute; Massachusetts Institute of Technology","keywords":"Neuroscience; Basal ganglia; Striatum; Local field potential; Biology; Neocortex; Macaque; Premovement neuronal activity; Indirect pathway of movement; Psychology; Dopamine; Central nervous system","score_opus":0.02533804542364937,"score_gpt":0.2552903270205485,"score_spread":0.22995228159689912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297636293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9848292,0.000006220735,0.012976891,0.0007398609,0.0011457218,0.00014603704,0.0000072698313,0.0000064905903,0.00014229814],"genre_scores_gemma":[0.99925345,0.000042663734,0.00003593206,0.00058658293,0.000039502036,0.0000013145026,1.2820986e-7,0.000007391593,0.00003304705],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980735,0.00034757244,0.00045422724,0.0002507103,0.00061483943,0.00025912203],"domain_scores_gemma":[0.9988205,0.0003226174,0.0005020095,0.0002089551,0.000074878946,0.000071050854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051108893,0.00012679868,0.00020792156,0.000181151,0.00018572895,0.00009206179,0.00044034122,0.00005926583,0.000009980033],"category_scores_gemma":[0.0012313833,0.00008931672,0.00011762445,0.0007022805,0.00017686812,0.0005421067,0.000031243842,0.0004429011,7.013007e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043404998,0.00016712263,0.0011333622,0.0000052928744,5.4877324e-7,0.000079454694,0.000053239415,0.0028895056,0.99364007,0.0001681276,0.000019570374,0.0018002995],"study_design_scores_gemma":[0.0011518924,0.0022643574,0.45576596,0.00008267292,0.000033454406,0.0012634326,0.00007485392,0.060432043,0.47742242,0.0007628301,0.00045026522,0.00029582446],"about_ca_topic_score_codex":0.000020816691,"about_ca_topic_score_gemma":0.000009080466,"teacher_disagreement_score":0.51621765,"about_ca_system_score_codex":0.000038211685,"about_ca_system_score_gemma":0.00013193693,"threshold_uncertainty_score":0.36422303},"labels":[],"label_agreement":null},{"id":"W4297731325","doi":"10.1113/jp282758","title":"Logarithmically scaled, gamma distributed neuronal spiking","year":2022,"lang":"en","type":"review","venue":"The Journal of Physiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Mila - Quebec Artificial Intelligence Institute","funders":"Biotechnology and Biological Sciences Research Council; Academy of Medical Sciences; Wellcome Trust","keywords":"Neuron; Scaling; Gamma distribution; Distribution (mathematics); Biological neural network; Population; Biological system; Statistical physics; Forebrain; Probability distribution; Physics; Neuroscience; Mathematics; Computer science; Biology; Statistics; Mathematical analysis; Geometry; Central nervous system","score_opus":0.06967995707616845,"score_gpt":0.3100243198579465,"score_spread":0.24034436278177804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297731325","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0043566525,0.9881268,0.00028099417,0.00054510956,0.0054641766,0.00066520146,0.00023189785,0.00004303714,0.00028613702],"genre_scores_gemma":[0.0008129143,0.99795014,0.000009040557,0.0004478235,0.00062612805,0.000005437698,0.000020175452,0.00003324014,0.00009508759],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99686164,0.0015322621,0.00073598494,0.0002382222,0.00033203894,0.0002998786],"domain_scores_gemma":[0.99638176,0.001894382,0.0013273659,0.00028813313,0.000037173853,0.00007116523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051241275,0.00027439834,0.001033432,0.0001292643,0.00025584217,0.000022874794,0.0010543283,0.000110366374,0.0004569269],"category_scores_gemma":[0.0005483462,0.00015158493,0.0005627268,0.00036341202,0.00019584321,0.00007414552,0.00034637935,0.0015112037,0.00002547401],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002479534,0.00022529656,3.3019086e-7,0.0015575679,0.00009925742,0.00014243172,0.000026227284,0.00033507077,0.05963401,0.0012984128,0.0027544668,0.933679],"study_design_scores_gemma":[0.0001486437,0.0004045262,0.000024581032,0.00026749622,0.0002702849,0.0015590788,0.0000035859387,0.00010316943,0.000041012016,0.0010283793,0.99599653,0.00015270813],"about_ca_topic_score_codex":0.0000019683412,"about_ca_topic_score_gemma":5.051933e-7,"teacher_disagreement_score":0.9932421,"about_ca_system_score_codex":0.000102827384,"about_ca_system_score_gemma":0.00016653027,"threshold_uncertainty_score":0.65655124},"labels":[],"label_agreement":null},{"id":"W4298136706","doi":"10.26443/msurj.v5i1.81","title":"The discrimination of correlated and anti-correlated motion in the human visual system","year":2010,"lang":"en","type":"article","venue":"McGill Science Undergraduate Research Journal","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Stimulus (psychology); Perception; Psychophysics; Motion perception; Visual perception; Artificial intelligence; Computer science; Neuroscience; Computer vision; Psychology; Pattern recognition (psychology); Cognitive psychology","score_opus":0.05823280451332398,"score_gpt":0.36348507615011477,"score_spread":0.3052522716367908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298136706","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925936,0.000008283755,0.0000794347,0.0048205974,0.0006053121,0.00028681228,0.0000026710043,0.000014476571,0.0015888542],"genre_scores_gemma":[0.9996942,0.00012749965,0.0000072927396,0.000026353197,0.000035972516,0.0000054683246,5.9943807e-7,0.000007732001,0.00009487209],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99625146,0.00076926907,0.00037791082,0.00032596674,0.0017188129,0.0005565722],"domain_scores_gemma":[0.9983446,0.00077790394,0.00019469384,0.00021749329,0.00034270523,0.00012260281],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0090323845,0.00010441742,0.000111684225,0.0004696516,0.0046022832,0.00050511817,0.0007452347,0.000058711295,0.000001995802],"category_scores_gemma":[0.0019014949,0.000054560496,0.000039503255,0.0021288428,0.0017593958,0.00062927295,0.00014979679,0.0014981395,0.000005635599],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012794783,0.000065643566,0.00065580785,0.000009677762,0.0000010870361,0.000022318325,0.00009431212,0.00006901249,0.8707998,0.12189091,0.000025288942,0.006353388],"study_design_scores_gemma":[0.0025348389,0.0013138946,0.15639435,0.00045415986,0.000029251663,0.00453169,0.0056680394,0.53811514,0.22216913,0.06710886,0.0010869788,0.00059365015],"about_ca_topic_score_codex":0.00009316159,"about_ca_topic_score_gemma":0.00013800047,"teacher_disagreement_score":0.6486306,"about_ca_system_score_codex":0.00012639439,"about_ca_system_score_gemma":0.000078788355,"threshold_uncertainty_score":0.9966936},"labels":[],"label_agreement":null},{"id":"W4298173426","doi":"10.26443/msurj.v11i1.165","title":"Reduction in Noise Correlation is Associated with Improved Behavioural Performance","year":2016,"lang":"en","type":"article","venue":"McGill Science Undergraduate Research Journal","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Correlation; Macaque; Stimulus (psychology); Perception; Psychology; Visual perception; Coherence (philosophical gambling strategy); Communication; Neuroscience; Computer science; Artificial intelligence; Cognitive psychology; Mathematics; Statistics","score_opus":0.08117486361928143,"score_gpt":0.3239493961371481,"score_spread":0.24277453251786668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298173426","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9883237,0.000002843724,0.00018365266,0.009786541,0.00042089366,0.00025534193,0.000009264711,0.00003303544,0.0009847569],"genre_scores_gemma":[0.99774617,0.0002198787,0.000042750617,0.00007646142,0.00004205681,0.000011259638,5.421307e-7,0.000016039934,0.0018448447],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9959675,0.00033385842,0.00032882253,0.0005678073,0.0018186183,0.000983372],"domain_scores_gemma":[0.99855006,0.0002454923,0.00019265388,0.00021970179,0.0005063343,0.00028577505],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003505748,0.00014863946,0.00014053877,0.0008657685,0.0019443318,0.00025731046,0.00050401315,0.00006268713,0.000028387623],"category_scores_gemma":[0.0015217137,0.000087913315,0.00004232117,0.0027954918,0.0010596749,0.0022549795,0.00011382331,0.0007423574,0.00003992846],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012579885,0.00010403104,0.005681064,0.0000020826508,0.0000016351713,0.000030426942,0.00003733947,0.000092700764,0.9711604,0.00091076765,0.0000839121,0.021769818],"study_design_scores_gemma":[0.0048913816,0.003279317,0.11672267,0.0007921921,0.000014541996,0.002265564,0.0001787113,0.11073878,0.7446143,0.015179663,0.000492979,0.0008298856],"about_ca_topic_score_codex":0.000046440502,"about_ca_topic_score_gemma":0.000044035016,"teacher_disagreement_score":0.22654611,"about_ca_system_score_codex":0.0012070627,"about_ca_system_score_gemma":0.00029050416,"threshold_uncertainty_score":0.999355},"labels":[],"label_agreement":null},{"id":"W4298366122","doi":"10.1007/978-3-030-44982-7_31-1","title":"Memory Consolidation: Neural Data Analysis and Mathematical Modeling","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Memory consolidation; Computer science; Artificial neural network; Consolidation (business); Neuroscience; Sleep (system call); Hebbian theory; Cognition; Artificial intelligence; Perception; Cognitive science; Psychology","score_opus":0.10876098664399413,"score_gpt":0.2871238303174334,"score_spread":0.17836284367343924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298366122","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008580541,0.000048429916,0.012420987,0.0008577921,0.00022953379,0.0003213442,0.00038950887,0.00014784366,0.9847265],"genre_scores_gemma":[0.070455335,0.00021073816,0.00051127566,0.0016111345,0.00014609122,0.000009879696,0.00068770006,0.000065740554,0.92630213],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983492,0.000030584626,0.00030185896,0.00080334675,0.0003751332,0.00013987589],"domain_scores_gemma":[0.99873304,0.00022614593,0.00010838788,0.0008407704,0.0000181507,0.00007351813],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017322523,0.00020684963,0.00032580303,0.00023576345,0.00019907358,0.00010505549,0.00038038308,0.000083403116,0.01539082],"category_scores_gemma":[0.0001037189,0.00018137968,0.00009098016,0.00009495215,0.00007623008,0.00022375818,0.0008033037,0.00032551945,0.000072820716],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006660391,0.000054953096,0.000002869569,0.000113130234,0.00028259415,0.00015498814,0.000044515626,0.009518244,0.0017528614,0.96735525,0.001240539,0.019413423],"study_design_scores_gemma":[0.000077250996,0.000033223936,4.37298e-7,0.000004395248,0.00041059832,0.00004886217,0.000005131705,0.9763918,0.000032267646,0.01667157,0.006110254,0.00021420253],"about_ca_topic_score_codex":0.000008163041,"about_ca_topic_score_gemma":0.000010436595,"teacher_disagreement_score":0.9668736,"about_ca_system_score_codex":0.000021960946,"about_ca_system_score_gemma":0.000020452406,"threshold_uncertainty_score":0.9855092},"labels":[],"label_agreement":null},{"id":"W4298395845","doi":"10.31234/osf.io/2h4z8","title":"Behavioral and neural measures of confidence using a novel auditory pitch identification task","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Canadian Institute for Advanced Research","keywords":"Perception; Psychology; Metacognition; Low Confidence; Neural correlates of consciousness; Confidence interval; Auditory perception; Task (project management); Tone (literature); Audiology; Cognitive psychology; Cognition; Statistics; Social psychology; Mathematics; Neuroscience","score_opus":0.14758954917264594,"score_gpt":0.33188796674257903,"score_spread":0.1842984175699331,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298395845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9880153,0.00003837487,0.007886964,0.00012023065,0.0031895498,0.00042167216,0.00013685587,0.00006336719,0.00012767538],"genre_scores_gemma":[0.99900174,0.00003635056,0.00020615326,0.000120916426,0.00009710851,0.000030253586,0.00001597218,0.000021999891,0.00046952558],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980289,0.00011875959,0.00041931611,0.00071228814,0.00054668065,0.00017408076],"domain_scores_gemma":[0.99891454,0.0001029753,0.00042747238,0.0004130908,0.00008478061,0.00005714929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027902302,0.00020071675,0.00024674524,0.00015859603,0.00018572167,0.00011484954,0.0003180217,0.00011014411,0.00011491836],"category_scores_gemma":[0.0001605836,0.00020077647,0.000091635025,0.00015063642,0.00017581343,0.0001552933,0.00072636333,0.00048038096,9.757124e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021505866,0.00008817974,0.00030706162,0.000058117406,0.000002747764,0.0000033313033,0.00009439313,0.0023133636,0.99513537,0.0010607659,0.000049303173,0.00086584745],"study_design_scores_gemma":[0.001150821,0.00044663466,0.032897662,0.00018035492,0.00037016894,0.00023903586,0.00056830136,0.67466116,0.27991706,0.006306809,0.001520164,0.0017418102],"about_ca_topic_score_codex":0.000608994,"about_ca_topic_score_gemma":0.000030171037,"teacher_disagreement_score":0.7152183,"about_ca_system_score_codex":0.000077034965,"about_ca_system_score_gemma":0.00009128999,"threshold_uncertainty_score":0.8187427},"labels":[],"label_agreement":null},{"id":"W4299317654","doi":"10.48550/arxiv.1612.06975","title":"Similarities and differences between stimulus tuning in the\\n inferotemporal visual cortex and convolutional networks","year":2016,"lang":"","type":"preprint","venue":"arXiv (Cornell University)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Categorization; Stimulus (psychology); Pattern recognition (psychology); Visual cortex; Convolutional neural network; Artificial intelligence; Clutter; Cognitive neuroscience of visual object recognition; Computer science; Neuroscience; Psychology; Communication; Object (grammar); Cognitive psychology; Radar","score_opus":0.08469294602934467,"score_gpt":0.21060568720547412,"score_spread":0.12591274117612944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4299317654","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97157025,0.00009977092,0.026486734,0.00031953884,0.00048078204,0.00055326516,0.00009334019,0.000044207725,0.00035209773],"genre_scores_gemma":[0.9976048,0.0012957953,0.0000057600596,0.00024813286,0.00021440511,0.0000019211327,0.000021063033,0.00002120865,0.0005869358],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967027,0.0006803629,0.00040559933,0.0014336596,0.00018240673,0.0005952873],"domain_scores_gemma":[0.9972424,0.0017557837,0.00036552481,0.0003443298,0.00009162531,0.00020033347],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005181682,0.0005283713,0.00056627917,0.0002998417,0.0006567508,0.00029180924,0.00057201914,0.00042776574,0.000035379926],"category_scores_gemma":[0.00015074867,0.00043985562,0.000113091846,0.00044356543,0.0014421205,0.00051149103,0.0011158339,0.0010538761,0.0000042852785],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002718706,0.00011301276,0.95048815,0.00013276293,0.0000536462,0.00030944828,0.00035839665,0.0052017923,0.00040682094,0.0413069,0.000025590256,0.0013316087],"study_design_scores_gemma":[0.00088281196,0.00026931544,0.50585043,0.00024493458,0.00008516202,0.000011151646,0.00033964895,0.47507986,0.0000062694207,0.016727518,0.000036611542,0.00046624296],"about_ca_topic_score_codex":0.00021085828,"about_ca_topic_score_gemma":0.00014414648,"teacher_disagreement_score":0.46987808,"about_ca_system_score_codex":0.00011731985,"about_ca_system_score_gemma":0.00012024391,"threshold_uncertainty_score":0.99980533},"labels":[],"label_agreement":null},{"id":"W4300482752","doi":"10.2139/ssrn.4077802","title":"Resting GABA and Glutamate Concentrations Do Not Predict Visual Gamma Frequency or Amplitude","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Amplitude; Glutamate receptor; gamma-Aminobutyric acid; Neuroscience; Chemistry; Physics; Audiology; Mathematics; Psychology; Medicine; Biochemistry; Optics","score_opus":0.017140805505699457,"score_gpt":0.2674602251083879,"score_spread":0.25031941960268844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4300482752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98592454,0.0000911486,0.011758635,0.00089915755,0.00045520984,0.00014613594,0.0000065994786,0.000067528104,0.00065106334],"genre_scores_gemma":[0.9975688,0.0009007874,0.00008137859,0.0004337478,0.0003536552,0.0000050801323,0.0000016491938,0.000020912777,0.0006340122],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975365,0.00018712615,0.00029898694,0.0003184288,0.00028898157,0.0013700037],"domain_scores_gemma":[0.9992507,0.00027924957,0.0001805801,0.0001181164,0.00004701162,0.00012432765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008755391,0.0001536127,0.00014739175,0.00007454471,0.0005424629,0.00024630994,0.00016622427,0.000057904243,0.00002663736],"category_scores_gemma":[0.00092894724,0.00011722787,0.000050022576,0.00018322104,0.000094585856,0.00032200446,0.000038061447,0.0010306864,0.00001340948],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000171192,0.00007366524,0.004543895,0.000013882817,0.000021003956,0.000018000886,0.000106368876,0.00009609076,0.63373786,0.33130398,0.000044031287,0.029870018],"study_design_scores_gemma":[0.007345764,0.008777358,0.030984655,0.00032904636,0.00022467434,0.016127745,0.0009361355,0.10284295,0.03590247,0.7886536,0.00595225,0.0019233141],"about_ca_topic_score_codex":0.00001691209,"about_ca_topic_score_gemma":0.00020805914,"teacher_disagreement_score":0.5978354,"about_ca_system_score_codex":0.00022386199,"about_ca_system_score_gemma":0.0004900701,"threshold_uncertainty_score":0.47804138},"labels":[],"label_agreement":null},{"id":"W4300598651","doi":"10.1007/978-1-4614-7320-6_390-1","title":"Correlation Analysis of Parallel Spike Trains","year":2014,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Spike (software development); Train; Computer science; Geography; Cartography","score_opus":0.023056981540667505,"score_gpt":0.24986064224236024,"score_spread":0.22680366070169272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4300598651","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017155303,0.00004190432,0.27952588,0.0003825863,0.002748456,0.00077669206,0.00056775,0.00012242698,0.698679],"genre_scores_gemma":[0.8182505,0.00037609768,0.0012601453,0.001120669,0.00014759476,0.0000096782205,0.00015737004,0.00006499258,0.17861298],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99695027,0.00006801055,0.00083263696,0.0007779357,0.0011532004,0.00021792618],"domain_scores_gemma":[0.9974085,0.00090197026,0.001073979,0.00033153273,0.0001785775,0.00010543667],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021499359,0.00031074797,0.00063297316,0.00086728483,0.00012131074,0.00002497205,0.00050447823,0.0001508393,0.000119599135],"category_scores_gemma":[0.00047806793,0.00030631127,0.00039153488,0.00062575337,0.0005469281,0.00014973659,0.00010304489,0.0002799948,0.000016701655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028996032,0.000046440477,0.00014987997,0.000034270197,0.000019150935,0.000007239318,0.00005946627,0.6381218,0.0024705396,0.35508198,0.0002845181,0.0036957534],"study_design_scores_gemma":[0.00037868714,0.00042956742,0.021015326,0.00006818918,0.0005385958,0.000015853693,0.0000021213057,0.8792733,0.00013113169,0.058961645,0.038603906,0.0005816892],"about_ca_topic_score_codex":0.0000047940853,"about_ca_topic_score_gemma":0.0000050147614,"teacher_disagreement_score":0.8010952,"about_ca_system_score_codex":0.00002989448,"about_ca_system_score_gemma":0.00014113207,"threshold_uncertainty_score":0.9999389},"labels":[],"label_agreement":null},{"id":"W4300861583","doi":"10.1038/s43588-022-00315-z","title":"Homeostatic coordination and up-regulation of neural activity by activity-dependent myelination","year":2022,"lang":"en","type":"article","venue":"Nature Computational Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Hospital for Sick Children; University of Ottawa; University Health Network","funders":"CIHR Skin Research Training Centre; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Neuroscience; Myelin; Homeostatic plasticity; Oligodendrocyte; Neuroplasticity; Axon; Premovement neuronal activity; Neural activity; Homeostasis; Mechanism (biology); Biology; Chemistry; Central nervous system; Neurotransmission; Physics; Metaplasticity; Cell biology; Receptor","score_opus":0.011651492620085524,"score_gpt":0.26968826925444656,"score_spread":0.25803677663436103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4300861583","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896638,0.000022177832,0.0072663883,0.0019167857,0.00067331584,0.00025537863,0.00007363266,0.000035168043,0.00009336537],"genre_scores_gemma":[0.99941874,0.0000019173726,0.0001336152,0.00026341408,0.000018518911,0.000015224646,0.000017809725,0.000006927323,0.00012381107],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997811,0.00015895964,0.00014348379,0.0004695059,0.0012465037,0.00017054366],"domain_scores_gemma":[0.9989826,0.00047347625,0.00023458434,0.00009833111,0.00015237054,0.000058652506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005416443,0.00010490636,0.00010842585,0.0002409977,0.00076580193,0.000071461385,0.00021530599,0.000042622145,0.00003237159],"category_scores_gemma":[0.00047806522,0.0001062063,0.000027386362,0.0010668313,0.00026081476,0.00071508036,0.00018534006,0.0003650845,9.832336e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006295307,0.00009832703,0.00032156816,0.000010245948,0.0000011338427,6.772099e-7,0.00008763972,0.044907954,0.9120245,0.007459775,0.00010537606,0.034919824],"study_design_scores_gemma":[0.00039293608,0.00015198569,0.105897106,0.0000030450651,0.0000050259964,0.000029303535,0.000018484876,0.81967306,0.06579711,0.007815205,0.000081429076,0.00013529678],"about_ca_topic_score_codex":0.000016395834,"about_ca_topic_score_gemma":0.0000022694262,"teacher_disagreement_score":0.8462274,"about_ca_system_score_codex":0.00018346786,"about_ca_system_score_gemma":0.00009673469,"threshold_uncertainty_score":0.58900064},"labels":[],"label_agreement":null},{"id":"W4300862313","doi":"10.1016/j.neubiorev.2022.104903","title":"Towards characterizing the canonical computations generating phenomenal experience","year":2022,"lang":"en","type":"review","venue":"Neuroscience & Biobehavioral Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Advanced Research","keywords":"Metacognition; Introspection; Unobservable; Cognitive science; Perception; Cognition; Cognitive psychology; Psychology; Computer science; Artificial intelligence; Epistemology; Neuroscience","score_opus":0.33163314469862265,"score_gpt":0.4212674502510389,"score_spread":0.08963430555241625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4300862313","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00076079473,0.99158764,0.00015820762,0.000033819284,0.004167595,0.0027074353,0.00014892237,0.00015642212,0.00027919313],"genre_scores_gemma":[0.00019464768,0.9941283,0.00014079052,0.003403204,0.00030729617,0.001452951,0.000040963805,0.00007753194,0.00025429897],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9935954,0.0011660006,0.0015354173,0.0017573643,0.0010572865,0.00088852836],"domain_scores_gemma":[0.9973972,0.00004647995,0.0012162257,0.0010505528,0.00002763253,0.0002619053],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0009565213,0.0007991147,0.0015598619,0.00021076351,0.0022237056,0.00071635586,0.0022484516,0.00013518805,0.00045802596],"category_scores_gemma":[0.0010748636,0.0005009618,0.00087074755,0.0021185842,0.0006404066,0.00047949486,0.00096624775,0.0014292457,0.000092013615],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000011913993,0.00007957194,0.0000015529816,0.0003289262,4.9137526e-8,0.00003653107,0.000086657856,0.000003993369,0.0060582324,0.00025607692,0.00016578517,0.99298143],"study_design_scores_gemma":[0.000052240528,0.000144253,0.0000089660325,0.0005340052,0.00011929292,0.0003238497,0.000016433427,0.0005246953,0.0000124066855,0.000007199864,0.9977319,0.00052471727],"about_ca_topic_score_codex":0.00003227975,"about_ca_topic_score_gemma":0.000004971642,"teacher_disagreement_score":0.99756616,"about_ca_system_score_codex":0.0003239499,"about_ca_system_score_gemma":0.0005274502,"threshold_uncertainty_score":0.9997442},"labels":[],"label_agreement":null},{"id":"W4301180992","doi":"10.1523/jneurosci.0597-22.2022","title":"Stable Working Memory and Perceptual Representations in Macaque Lateral Prefrontal Cortex during Naturalistic Vision","year":2022,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Douglas Mental Health University Institute; Ottawa Hospital; McGill University; Western University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Mnemonic; Working memory; Macaque; Psychology; Perception; Neuroscience; Visual memory; Prefrontal cortex; Visual perception; Eye movement; Encoding (memory); Cognitive psychology; Communication; Cognition","score_opus":0.028626821331806534,"score_gpt":0.2799101198423591,"score_spread":0.25128329851055253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4301180992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99798316,0.000020557247,0.00002066597,0.0004044186,0.0012622935,0.00010706068,0.00000618813,0.000010909846,0.000184775],"genre_scores_gemma":[0.99872816,0.00003998662,0.00003979409,0.00052126043,0.000048183458,0.000003175034,3.1736593e-7,0.000009195719,0.0006099567],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983656,0.00020101781,0.000338071,0.00031816552,0.00054240564,0.00023478516],"domain_scores_gemma":[0.99933875,0.00013332575,0.00031200287,0.00011126141,0.000021032034,0.00008366016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022750051,0.00009568377,0.00013997445,0.00025499696,0.00048632277,0.00012609562,0.0002807969,0.000017352808,0.000031079348],"category_scores_gemma":[0.00041196003,0.00008575645,0.000045335735,0.00051048654,0.00012839936,0.0005870224,0.00025819178,0.00053475733,5.8685345e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082100356,0.0000541268,0.0033255618,0.0000049535815,2.521596e-7,0.0003474197,0.000319394,0.0032529496,0.9922018,0.00008257183,0.000022689355,0.00030620402],"study_design_scores_gemma":[0.0008185007,0.0005046982,0.95185417,0.000035165984,0.000006710832,0.003433357,0.00037852934,0.033661015,0.008514342,0.00032836694,0.00028393717,0.00018119602],"about_ca_topic_score_codex":0.000019015355,"about_ca_topic_score_gemma":0.000010106078,"teacher_disagreement_score":0.98368746,"about_ca_system_score_codex":0.00010741888,"about_ca_system_score_gemma":0.000044514225,"threshold_uncertainty_score":0.37404507},"labels":[],"label_agreement":null},{"id":"W4301400550","doi":"10.7554/elife.77430.sa2","title":"Author response: A partially nested cortical hierarchy of neural states underlies event segmentation in the human brain","year":2022,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Hierarchy; Neuroscience; Event (particle physics); Human brain; Segmentation; Computer science; Artificial intelligence; Psychology; Cognitive science; Physics; Political science","score_opus":0.08723106483043767,"score_gpt":0.3795381103036284,"score_spread":0.2923070454731907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4301400550","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3756858,0.00067634135,0.0002775443,0.6164812,0.0023826146,0.0033319294,0.0005619285,0.000123722,0.00047893327],"genre_scores_gemma":[0.61463046,0.0005439019,0.00006252613,0.06367049,0.00017919888,0.0008673953,0.0017477351,0.000115580435,0.31818268],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9936521,0.0035831323,0.00082707294,0.00056777406,0.0010358073,0.0003341179],"domain_scores_gemma":[0.9962724,0.0028331582,0.0003543876,0.00043051684,0.000054334345,0.000055214816],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020322013,0.00028322983,0.0004427665,0.00021812717,0.00026645281,0.000076640084,0.0005346782,0.00008732647,0.0011229904],"category_scores_gemma":[0.0016090338,0.0001954955,0.00018206998,0.00070176116,0.00017970918,0.00010870464,0.00018713245,0.000780557,0.0000063397883],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000655783,0.0005635778,0.000101547426,0.0013619025,0.000019774516,0.00017738799,0.0010039818,0.00096741837,0.17521329,0.0062236884,0.80805314,0.0056585106],"study_design_scores_gemma":[0.001690261,0.0037149703,0.015776463,0.0009805396,0.00023559021,0.00018750996,0.001112531,0.023440527,0.0037696108,0.0046345717,0.9432355,0.0012218886],"about_ca_topic_score_codex":0.00016049396,"about_ca_topic_score_gemma":0.00046699154,"teacher_disagreement_score":0.55281067,"about_ca_system_score_codex":0.00012407408,"about_ca_system_score_gemma":0.00015184224,"threshold_uncertainty_score":0.99979013},"labels":[],"label_agreement":null},{"id":"W4301401197","doi":"10.31234/osf.io/65zsc","title":"Not with a “zap” but with a “beep”: measuring the origins of perinatal experience","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Australian Research Council; Horizon 2020 Framework Programme; Deutsche Forschungsgemeinschaft; European Commission; Eberhard Karls Universität Tübingen; Bundesministerium für Bildung und Forschung; Tiny Blue Dot Foundation; Canadian Institute for Advanced Research","keywords":"Consciousness; Magnetoencephalography; Psychology; Neuroscience; Functional magnetic resonance imaging; Electroencephalography; Cognition; Cognitive science; Mind-wandering; Infant development; Cognitive psychology; Developmental psychology","score_opus":0.047219808491286396,"score_gpt":0.2581624169964128,"score_spread":0.2109426085051264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4301401197","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99272484,0.000007804832,0.0011528913,0.00038750286,0.00038845165,0.00054641254,0.00005338122,0.00009689779,0.0046418062],"genre_scores_gemma":[0.9970638,0.000014696951,0.00025058663,0.0006029502,0.00004308884,0.00025301884,0.0000026273672,0.000033718065,0.0017355105],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977693,0.00010726142,0.00022536953,0.0007641484,0.00085973536,0.0002741998],"domain_scores_gemma":[0.9987559,0.00015912624,0.0002337512,0.0007331071,0.000059249844,0.000058887315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015576734,0.00027670263,0.0002622626,0.00008348775,0.00030032214,0.00010468858,0.0007615871,0.000053709675,0.0003048169],"category_scores_gemma":[0.00008523673,0.00014815081,0.00008006802,0.000294077,0.00030564278,0.00011238363,0.00088147016,0.0007051603,0.0000033289268],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0037566556,0.00064399064,0.008447298,0.00086025643,0.00012966436,0.0008265624,0.011089405,0.043542,0.7888885,0.13590351,0.00008497361,0.0058271936],"study_design_scores_gemma":[0.0023829613,0.0031290026,0.010922971,0.0004954422,0.0001495984,0.0013042766,0.006428686,0.05046603,0.8878087,0.0005852789,0.033843156,0.0024838992],"about_ca_topic_score_codex":0.0007301778,"about_ca_topic_score_gemma":0.00011638114,"teacher_disagreement_score":0.13531822,"about_ca_system_score_codex":0.00016613708,"about_ca_system_score_gemma":0.00018193811,"threshold_uncertainty_score":0.6041415},"labels":[],"label_agreement":null},{"id":"W4301487418","doi":"","title":"First hitting times of stochastic processes and Mean-Field Methods in Neurosciences","year":2010,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Stochastic process; Field (mathematics); Computer science; Statistics; Mathematics","score_opus":0.023621362237774515,"score_gpt":0.27955727034153904,"score_spread":0.25593590810376454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4301487418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5171415,0.0012594608,0.4404143,0.025202451,0.0022365027,0.0011104068,0.000064885746,0.00014385853,0.012426622],"genre_scores_gemma":[0.93380874,0.0006200647,0.059090562,0.00018544531,0.000025137497,0.000050342478,0.000015183768,0.00003900548,0.006165539],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99255705,0.0044340333,0.0008300897,0.0012316182,0.00047368297,0.0004735091],"domain_scores_gemma":[0.9842064,0.0125950165,0.000890969,0.0011189352,0.0010038357,0.00018484636],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006828714,0.00039572525,0.0005265071,0.0003184248,0.0004783382,0.00037816176,0.0011947491,0.0003509881,0.000112247544],"category_scores_gemma":[0.022572136,0.00040114147,0.00011895313,0.001063138,0.0008353083,0.00033453782,0.0013684599,0.0011581994,0.0000056915105],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007852194,0.0018359087,0.0050556716,0.0025999865,0.000028522469,0.000020108846,0.018904211,0.002136868,0.49780455,0.2853961,0.000096567055,0.18604298],"study_design_scores_gemma":[0.0007993302,0.000008548023,0.006928384,0.0056174756,0.000083246516,0.000091232236,0.00029632807,0.45906675,0.5040844,0.019462468,0.002555037,0.0010067811],"about_ca_topic_score_codex":0.0017699504,"about_ca_topic_score_gemma":0.0066430815,"teacher_disagreement_score":0.45692986,"about_ca_system_score_codex":0.00004668029,"about_ca_system_score_gemma":0.00032036394,"threshold_uncertainty_score":0.9998441},"labels":[],"label_agreement":null},{"id":"W4303473185","doi":"10.1101/2022.10.04.510901","title":"Cortical Contributions to Medial Frontal β-Bursts during Executive Control","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Neuroscience; Electroencephalography; Macaque; Frontal lobe; Cortex (anatomy); Psychology; Cerebral cortex; Local field potential; Supplementary eye field","score_opus":0.01178451370240574,"score_gpt":0.23832917392594336,"score_spread":0.22654466022353761,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4303473185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98480755,0.000066189,0.002264254,0.0013670294,0.005282595,0.0016291294,0.003987367,0.0005638793,0.000031983996],"genre_scores_gemma":[0.9969724,0.000039880884,0.00015406347,0.001166679,0.0008229772,0.00069984404,8.9814984e-7,0.000116678755,0.000026574908],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99547344,0.0004903918,0.00063675793,0.0016313165,0.0008422164,0.0009258461],"domain_scores_gemma":[0.99739134,0.00036949894,0.00033002417,0.0009959147,0.0002919167,0.00062127446],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00045788748,0.000602711,0.00068816217,0.00033830124,0.0008096882,0.0002755911,0.0007759115,0.00036338775,0.0002875734],"category_scores_gemma":[0.0026674948,0.0006639119,0.00026730707,0.00061557937,0.00018265567,0.00017467201,0.001041135,0.001761417,0.00014494722],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024924192,0.00017983171,0.0011285435,0.00004661024,0.000038774393,0.00029016033,0.000010962848,0.00038264983,0.9941062,0.0031819134,0.0003847775,3.821628e-7],"study_design_scores_gemma":[0.0030436995,0.00036377314,0.16412716,0.00017314489,0.00023597897,3.0086488e-7,0.000008239001,0.0037246759,0.81956834,0.000018422596,0.0068834056,0.0018528518],"about_ca_topic_score_codex":0.00003924745,"about_ca_topic_score_gemma":0.0000041832354,"teacher_disagreement_score":0.1745378,"about_ca_system_score_codex":0.0010615577,"about_ca_system_score_gemma":0.0004995842,"threshold_uncertainty_score":0.9995812},"labels":[],"label_agreement":null},{"id":"W4303520510","doi":"10.1101/2022.10.07.511138","title":"Fast burst fraction transients convey information independent of the firing rate","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Mila - Quebec Artificial Intelligence Institute; University of Ottawa","funders":"","keywords":"Bursting; Computer science; Modulation (music); Sharpening; Stimulus (psychology); Representation (politics); Neuroscience; Stimulation; Artificial intelligence; Somatosensory system; Pattern recognition (psychology); Speech recognition; Psychology; Physics; Cognitive psychology","score_opus":0.0164061326684062,"score_gpt":0.21496413160550001,"score_spread":0.1985579989370938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4303520510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992648,0.000026109183,0.0013243885,0.0002489349,0.0042815534,0.0008679099,0.0004007372,0.00015217662,0.000050192604],"genre_scores_gemma":[0.9990491,0.00007736421,0.000048601723,0.0005551408,0.00009476328,0.000121003395,5.956176e-7,0.000043566677,0.000009821353],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99749756,0.00032184992,0.00060382596,0.0005536347,0.00069272355,0.00033042495],"domain_scores_gemma":[0.9978995,0.00010613483,0.00083446916,0.00087534846,0.0001886078,0.00009597076],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005578937,0.00033812807,0.0003293565,0.00023100803,0.0003744939,0.00018357592,0.00068814075,0.00023195101,0.00009400649],"category_scores_gemma":[0.00040461894,0.0003043864,0.00018647646,0.0006196245,0.00010327374,0.00053895864,0.0005689013,0.0010717993,0.000025138146],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056433782,0.00008403359,0.0029481552,0.00023270273,0.000021287375,0.0000038779403,0.000022466123,0.0032708596,0.99265194,0.00062179344,0.00007438646,0.000012075991],"study_design_scores_gemma":[0.00067085685,0.000073043455,0.22381118,0.00019176245,0.00007485662,4.5804445e-8,0.000010086827,0.007485458,0.75897354,0.000012782084,0.008123217,0.0005731742],"about_ca_topic_score_codex":0.00005431932,"about_ca_topic_score_gemma":0.0000020451646,"teacher_disagreement_score":0.23367839,"about_ca_system_score_codex":0.00033029172,"about_ca_system_score_gemma":0.0002597349,"threshold_uncertainty_score":0.9999408},"labels":[],"label_agreement":null},{"id":"W4303520644","doi":"10.1101/2022.10.05.511024","title":"Neural representational geometries correlate with behavioral differences in monkeys and recurrent neural networks","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Columbia College","funders":"","keywords":"Cued speech; Stimulus (psychology); Artificial neural network; Task (project management); Neural activity; Computer science; Prefrontal cortex; Cognitive psychology; Psychology; Artificial intelligence; Neuroscience; Cognition","score_opus":0.0319484458629981,"score_gpt":0.24579092589641166,"score_spread":0.21384248003341355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4303520644","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99577385,0.00028028263,0.00020390273,0.00027664588,0.002331676,0.0007565531,0.00018249964,0.00019056491,0.000004046233],"genre_scores_gemma":[0.9988666,0.00027936164,0.00011098185,0.0002021541,0.00016078647,0.00028789137,0.0000015349608,0.00007775629,0.000012901283],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964158,0.00029875795,0.0005392891,0.0014930874,0.00066115026,0.00059192366],"domain_scores_gemma":[0.9983416,0.00026879914,0.00044605194,0.0006337325,0.000102686565,0.00020710648],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00024591776,0.00055003725,0.00053593813,0.00050106447,0.0003418974,0.00040561604,0.0004874193,0.00023038224,0.00008067738],"category_scores_gemma":[0.000183829,0.0005136288,0.00009289106,0.001081669,0.00029425605,0.00031024445,0.00087423326,0.0016411563,0.0000021973772],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006747696,0.00075801654,0.8650083,0.00023322093,0.00004821175,0.00091054797,0.000057189904,0.024595084,0.10629579,0.0012055964,0.00012278355,0.00009049846],"study_design_scores_gemma":[0.0007901083,0.0003969322,0.80481607,0.000102263686,0.00006715647,3.6602773e-7,0.000010586885,0.19008987,0.0027672101,0.000005914094,0.00009410038,0.00085943635],"about_ca_topic_score_codex":0.00015055545,"about_ca_topic_score_gemma":0.000016435457,"teacher_disagreement_score":0.16549478,"about_ca_system_score_codex":0.0001770258,"about_ca_system_score_gemma":0.00011987087,"threshold_uncertainty_score":0.99973154},"labels":[],"label_agreement":null},{"id":"W4304695089","doi":"10.1016/j.neuron.2022.09.001","title":"In vitro neurons learn and exhibit sentience when embodied in a simulated game-world","year":2022,"lang":"en","type":"article","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":359,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Economic and Social Research Council; Horizon 2020 Framework Programme; Murdoch Children's Research Institute; Monash University; National Health and Medical Research Council; European Commission; Medical Research Council; Children’s Hospital of Wisconsin Research Institute; Wellcome Trust","keywords":"Computer science; Sentience; Embodied cognition; Inference; Neuroscience; Sensory system; Artificial intelligence; Biological neural network; Human–computer interaction; Machine learning; Psychology","score_opus":0.023582489843851716,"score_gpt":0.24711182160369613,"score_spread":0.2235293317598444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4304695089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995383,0.000012379369,0.000004080358,0.0024316106,0.0005385112,0.00029364045,0.000011744494,0.000055025375,0.0012699651],"genre_scores_gemma":[0.99247026,0.00001269921,0.0000062398976,0.004029315,0.000019538285,0.00001826955,0.0000028280526,0.000023221204,0.0034176535],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982002,0.00032621188,0.00023615941,0.0006130649,0.00028232014,0.00034203942],"domain_scores_gemma":[0.99941486,0.00023509313,0.0000705796,0.00021208057,0.0000064255487,0.000060963328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013622202,0.00014421814,0.0001619999,0.00034944987,0.00013211953,0.000053240048,0.00019088344,0.00002133302,0.00011151177],"category_scores_gemma":[0.00018173555,0.00015673357,0.000032776374,0.00071224326,0.000061061655,0.00021919304,0.00029437806,0.0005535594,0.000011355858],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024092545,0.0001563653,0.0024010665,0.000012148923,4.0966816e-7,0.00043498183,0.00027892506,0.01030226,0.9834261,0.00033421797,0.0002777434,0.0021348686],"study_design_scores_gemma":[0.0046514366,0.0010194221,0.04879973,0.00002720302,0.0000144033,0.00023794269,0.00015174036,0.7860134,0.083191216,0.0067060334,0.06820434,0.0009831004],"about_ca_topic_score_codex":0.00012458528,"about_ca_topic_score_gemma":0.000084813175,"teacher_disagreement_score":0.9002349,"about_ca_system_score_codex":0.000058448077,"about_ca_system_score_gemma":0.00002020664,"threshold_uncertainty_score":0.63914096},"labels":[],"label_agreement":null},{"id":"W4304695092","doi":"10.1113/jp283133","title":"Particle‐swarm based modelling reveals two distinct classes of CRH <sup>PVN</sup> neurons","year":2022,"lang":"en","type":"article","venue":"The Journal of Physiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hotchkiss Brain Institute; Ontario Brain Institute; University of Calgary","funders":"Canadian Institutes of Health Research; Universidade Estadual de Ponta Grossa","keywords":"Bursting; Neuroscience; Electrophysiology; Physics; Neuron; Biological system; Computer science; Biology","score_opus":0.04816087541467904,"score_gpt":0.2754098821669329,"score_spread":0.22724900675225387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4304695092","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99651396,0.00003627924,0.0019391248,0.0009898681,0.0002823997,0.00009909346,0.000018794242,0.000010492963,0.00010996761],"genre_scores_gemma":[0.99866194,0.000028571478,0.000048031685,0.0010450431,0.00011943316,0.0000033821711,9.933367e-7,0.000014620122,0.000077971825],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979844,0.000937119,0.00042894811,0.00014641945,0.0002757513,0.00022737928],"domain_scores_gemma":[0.99803144,0.0011128177,0.0005079074,0.00023067149,0.00006362496,0.000053552987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005406165,0.0001102171,0.00025891242,0.00006133451,0.00027498268,0.000008765567,0.00043714602,0.000017556456,0.00012789822],"category_scores_gemma":[0.0001705619,0.00007264663,0.00013409874,0.0002554664,0.00015159699,0.000109055145,0.00013319711,0.00041281374,0.000003088968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020939151,0.00007075032,0.000026173975,0.00000609446,0.0000036207746,0.0000045322117,0.00005923928,0.5013591,0.49731457,0.0007111422,0.00014357772,0.00009179504],"study_design_scores_gemma":[0.0006189646,0.0009832731,0.0006844432,0.0000104950905,0.000049748916,0.00010877118,0.000110640765,0.9260275,0.05360662,0.017265746,0.00043728953,0.00009651948],"about_ca_topic_score_codex":0.00001605677,"about_ca_topic_score_gemma":9.1797546e-7,"teacher_disagreement_score":0.44370797,"about_ca_system_score_codex":0.000030997486,"about_ca_system_score_gemma":0.000057204536,"threshold_uncertainty_score":0.29624435},"labels":[],"label_agreement":null},{"id":"W4304775793","doi":"10.1038/s41467-022-33536-x","title":"A consensus statement on detection of hippocampal sharp wave ripples and differentiation from other fast oscillations","year":2022,"lang":"en","type":"review","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":169,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge; McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; National Metal and Materials Technology Center; Fondation pour la Recherche Médicale; National Institutes of Health; National Science Foundation; U.S. Department of Health and Human Services; Howard Hughes Medical Institute","keywords":"Hippocampal formation; Neuroscience; Computer science; Ripple; Episodic memory; Foundation (evidence); Cognitive psychology; Statement (logic); Data science; Cognitive science; Psychology; Physics; History; Cognition; Epistemology","score_opus":0.10959956627944943,"score_gpt":0.3396205386997732,"score_spread":0.23002097242032377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4304775793","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001761771,0.99021053,0.000101106496,0.00047478024,0.00077600457,0.0014590744,0.0039298013,0.0001052436,0.0011816953],"genre_scores_gemma":[0.07099424,0.9276813,0.00016671357,0.00014531835,0.000041995114,0.00018211566,0.000642712,0.000041771607,0.00010381881],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99779785,0.0007460965,0.0005610725,0.00043275967,0.00031752852,0.00014467268],"domain_scores_gemma":[0.9958201,0.0021621324,0.00067713234,0.0012435495,0.000045080054,0.000051984418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015920712,0.00026791557,0.000510717,0.00027298674,0.00053347845,0.000058267335,0.00045997454,0.00027486373,0.00011916125],"category_scores_gemma":[0.00044602776,0.00023344964,0.00018517663,0.00045663666,0.00014694237,0.00004907598,0.0003761321,0.0012322756,0.0000074192326],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025184834,0.0003137648,0.00001229831,0.00048402228,0.00010695458,0.000001268831,0.0001926073,0.000011523972,0.0028953739,0.01112087,0.00029458318,0.98454154],"study_design_scores_gemma":[0.00017463644,0.000084581094,0.00012589422,0.00044647156,0.00023736061,0.000008507199,0.000035163397,0.0019397294,0.00011050751,0.0006024296,0.99600285,0.00023184366],"about_ca_topic_score_codex":0.00005906302,"about_ca_topic_score_gemma":0.00040764554,"teacher_disagreement_score":0.9957083,"about_ca_system_score_codex":0.00018074532,"about_ca_system_score_gemma":0.0000705784,"threshold_uncertainty_score":0.95198},"labels":[],"label_agreement":null},{"id":"W4304780429","doi":"10.1016/j.isci.2022.105335","title":"Optokinetic set-point adaptation functions as an internal dynamic calibration mechanism for oculomotor disequilibrium","year":2022,"lang":"en","type":"article","venue":"iScience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Institutes of Health; Universität Zürich; Inselspital, Universitätsspital Bern; Canadian Institutes of Health Research; EMDO Stiftung; McGill University","keywords":"Optokinetic reflex; Adaptation (eye); Sensory Adaptation; Neuroscience; Set (abstract data type); Mechanism (biology); Psychology; Eye movement; Sensory system; Computer science; Physics","score_opus":0.028533914528347394,"score_gpt":0.27463514361392505,"score_spread":0.24610122908557766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4304780429","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79719394,0.000007609801,0.19791804,0.0012898482,0.0022964657,0.0006534645,0.0001720422,0.00014964766,0.00031890738],"genre_scores_gemma":[0.9946802,0.0000031195907,0.00043075104,0.0012219001,0.00006110561,0.00027910614,0.000050615603,0.000020468537,0.0032526788],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982002,0.0001334953,0.00023373247,0.00064961216,0.00048402042,0.0002989332],"domain_scores_gemma":[0.9993141,0.00011886142,0.00013533879,0.00026526445,0.00005092158,0.00011546005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024977626,0.00013815191,0.000100058656,0.00014517125,0.0008302294,0.00018060408,0.00039577752,0.00002634319,0.00019871135],"category_scores_gemma":[0.00027279434,0.000134684,0.00007439664,0.00046670646,0.00009272212,0.0008922198,0.00016571784,0.0001538361,0.000018741486],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009531385,0.0000976917,0.000017764372,0.000008028027,0.0000013207418,0.000006050974,0.0004465327,0.006785008,0.9472462,0.04213414,0.0001219631,0.003039996],"study_design_scores_gemma":[0.00027979253,0.0010344257,0.00019890165,0.0000041435515,0.000009330203,0.00007771399,0.0004060271,0.95627904,0.016497819,0.024155991,0.0008737591,0.00018307746],"about_ca_topic_score_codex":0.000056382305,"about_ca_topic_score_gemma":0.000037814592,"teacher_disagreement_score":0.949494,"about_ca_system_score_codex":0.00014865326,"about_ca_system_score_gemma":0.000093448536,"threshold_uncertainty_score":0.6385537},"labels":[],"label_agreement":null},{"id":"W4306642564","doi":"10.1073/pnas.2200257119","title":"Neural event segmentation of continuous experience in human infants","year":2022,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Advanced Research; National Center for Advancing Translational Sciences; James S. McDonnell Foundation; National Science Foundation","keywords":"Segmentation; Event (particle physics); Perception; Cognition; Sensory system; Cognitive psychology; Psychology; Visual perception; Computer science; Artificial intelligence; Neuroscience","score_opus":0.06064625476124597,"score_gpt":0.33982881252068214,"score_spread":0.2791825577594362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306642564","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981579,0.000009133502,3.045885e-7,0.00063227525,0.000041411018,0.0001803225,0.0000126659115,0.0000048928614,0.0009610479],"genre_scores_gemma":[0.99959075,0.0000033178578,0.00004593375,0.000240509,0.000011557891,0.00002339467,8.868301e-8,0.0000021942267,0.00008225208],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981909,0.000017237448,0.00033533399,0.00021298991,0.0011364162,0.00010712163],"domain_scores_gemma":[0.999354,0.00008968744,0.0004781074,0.000006448706,0.000057855264,0.00001390977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066786236,0.000057259454,0.00010486493,0.00017562669,0.00023249551,0.000010422193,0.0005891737,0.000017960376,0.000026446658],"category_scores_gemma":[0.00035849604,0.000043447424,0.000043830132,0.0009314133,0.00043551915,0.00035221968,0.00021495979,0.00013317965,1.0236217e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001366611,0.000051730945,0.01842862,0.000011692752,5.3368444e-7,8.992352e-9,0.00041613457,0.0010643882,0.9651772,0.014519214,0.000028859915,0.00028799177],"study_design_scores_gemma":[0.00019311183,0.00011707133,0.11355302,0.000016730279,0.0000016902513,0.000007979267,0.00056948495,0.0079189185,0.8671941,0.010346777,0.00002636767,0.000054766828],"about_ca_topic_score_codex":0.0000132161895,"about_ca_topic_score_gemma":9.358641e-8,"teacher_disagreement_score":0.09798307,"about_ca_system_score_codex":0.000039249677,"about_ca_system_score_gemma":0.000012529996,"threshold_uncertainty_score":0.1788191},"labels":[],"label_agreement":null},{"id":"W4306648531","doi":"10.1101/2022.10.13.511989","title":"Decoding Fear or Safety and Approach or Avoidance by Brain-Wide Network Dynamics","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Psychology; Decoding methods; Coping (psychology); Fear conditioning; Stimulus (psychology); Neuroscience; Cognitive psychology; Developmental psychology; Amygdala; Clinical psychology; Computer science","score_opus":0.019503035972435696,"score_gpt":0.22645368092522977,"score_spread":0.20695064495279408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306648531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93634176,0.0010324307,0.042661883,0.004145388,0.0072231963,0.003818647,0.0027303179,0.0017713952,0.0002749533],"genre_scores_gemma":[0.9833717,0.0019169004,0.006093805,0.0066028265,0.0006373095,0.00034080684,0.000004431555,0.00036253908,0.00066968176],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9951409,0.0004752128,0.0007259885,0.002074167,0.00063146936,0.00095223024],"domain_scores_gemma":[0.9963769,0.0013476989,0.00062123506,0.0012026376,0.00010356866,0.00034799456],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001009239,0.0007559975,0.00075928017,0.00018021348,0.0009831751,0.00050142367,0.0008967336,0.00042515382,0.00015230836],"category_scores_gemma":[0.002285895,0.0006844061,0.00014500365,0.0010669675,0.00022700363,0.00026450175,0.0015965211,0.0016628257,0.000013196505],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004447505,0.001143656,0.017896762,0.003337652,0.0003425107,0.001014256,0.000071866,0.020079572,0.8806897,0.024486907,0.046323057,0.00016657142],"study_design_scores_gemma":[0.0041519455,0.0009661077,0.0332767,0.0009806278,0.00037258703,0.0000021085414,0.00004198479,0.62570155,0.03401773,0.00006116315,0.2933041,0.007123404],"about_ca_topic_score_codex":0.00003163043,"about_ca_topic_score_gemma":0.000011774365,"teacher_disagreement_score":0.84667194,"about_ca_system_score_codex":0.000650904,"about_ca_system_score_gemma":0.00042835865,"threshold_uncertainty_score":0.9995607},"labels":[],"label_agreement":null},{"id":"W4306734772","doi":"10.21203/rs.3.rs-2167237/v1","title":"Respiration organizes gamma synchrony in the prefronto-thalamic network","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research","keywords":"Prefrontal cortex; Neuroscience; Thalamus; Hippocampus; Local field potential; Psychology; Biology; Cognition","score_opus":0.10146097988921722,"score_gpt":0.3792427092215797,"score_spread":0.2777817293323625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306734772","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9833075,0.0006920785,0.00008322853,0.0043333205,0.0011944243,0.0028559384,0.00008441839,0.00011939021,0.0073297448],"genre_scores_gemma":[0.99558586,0.00086118316,0.000020973233,0.00038240867,0.0006792657,0.0006174648,0.00009602676,0.000051830368,0.0017049885],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9920424,0.0038215122,0.00038230733,0.0010172107,0.0019311518,0.0008053759],"domain_scores_gemma":[0.99706894,0.0015214365,0.00013062666,0.0010921856,0.00011958182,0.000067245644],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0037347008,0.00024460582,0.00025708092,0.00031130004,0.000747398,0.00043590105,0.0013490146,0.00020481546,0.00078056013],"category_scores_gemma":[0.0019451207,0.00018610725,0.00011346678,0.0013125334,0.00016883902,0.0001392071,0.0017936117,0.0031880958,0.00008734451],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023617423,0.0031857828,0.08502585,0.0057479218,0.00010228927,0.002897685,0.014616641,0.22599922,0.1880056,0.13203156,0.27154154,0.068484195],"study_design_scores_gemma":[0.0029081756,0.0044603976,0.39286602,0.0019769298,0.000062120766,0.00017677856,0.0031275253,0.1288635,0.0062795044,0.16833867,0.28792053,0.003019823],"about_ca_topic_score_codex":0.0003616409,"about_ca_topic_score_gemma":0.00052911515,"teacher_disagreement_score":0.30784017,"about_ca_system_score_codex":0.0005732692,"about_ca_system_score_gemma":0.0003362717,"threshold_uncertainty_score":0.9991116},"labels":[],"label_agreement":null},{"id":"W4306734833","doi":"10.1101/2022.10.14.512209","title":"Deep learning based decoding of local field potential events","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Deutsche Forschungsgemeinschaft; European Commission","keywords":"Local field potential; Computer science; Decoding methods; Artificial intelligence; Cluster analysis; Pattern recognition (psychology); Neural decoding; Artificial neural network; Population; Neuroscience; Psychology; Algorithm","score_opus":0.014647053136017198,"score_gpt":0.2246278716766779,"score_spread":0.2099808185406607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306734833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8976733,0.00008936131,0.098336525,0.0002079462,0.002886836,0.00045841435,0.000051474068,0.0002764734,0.000019632416],"genre_scores_gemma":[0.9983608,0.000063511296,0.0007354044,0.00049556064,0.00016410263,0.000079634185,3.6503053e-7,0.00008936382,0.000011232711],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.996993,0.00036379328,0.0005255535,0.0010073412,0.00064291595,0.00046738316],"domain_scores_gemma":[0.9982157,0.00025926315,0.0005491341,0.0006896623,0.00012865504,0.00015761216],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004581504,0.00039069614,0.0004362468,0.0003084623,0.00033366648,0.00008093254,0.00064185826,0.00029162463,0.00041501503],"category_scores_gemma":[0.00062553823,0.00044393152,0.0002505202,0.00049337355,0.000079233476,0.0001198145,0.0007565285,0.0013220825,0.000017549579],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000085000356,0.00012979755,0.0020035205,0.0002337153,0.000019682086,0.00008612757,0.0000029260962,0.046186887,0.9508605,0.00033626435,0.000031309202,0.000024244817],"study_design_scores_gemma":[0.0005605353,0.00027426565,0.008268949,0.00016128659,0.00007394819,3.6220797e-8,0.0000049999057,0.25264114,0.736228,0.000007004951,0.0011225085,0.00065733504],"about_ca_topic_score_codex":0.000039844006,"about_ca_topic_score_gemma":0.0000011926971,"teacher_disagreement_score":0.21463254,"about_ca_system_score_codex":0.00020660987,"about_ca_system_score_gemma":0.00023385626,"threshold_uncertainty_score":0.9998012},"labels":[],"label_agreement":null},{"id":"W4306751367","doi":"10.1073/pnas.2214638119","title":"Temporal scaling of human scalp-recorded potentials","year":2022,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"RES’EAU-WaterNET; Biotechnology and Biological Sciences Research Council; UK Research and Innovation; Government of Canada; Wellcome Trust; Brain and Behavior Research Foundation","keywords":"Electroencephalography; Computer science; Duration (music); Scaling; Interval (graph theory); Time perception; Scalp; Variable (mathematics); Pattern recognition (psychology); Artificial intelligence; Perception; Mathematics; Psychology; Neuroscience; Biology","score_opus":0.07263769912635339,"score_gpt":0.3192426059627713,"score_spread":0.24660490683641795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306751367","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99486405,0.00001096823,8.1516924e-7,0.0016701386,0.000061757586,0.00014462143,0.000026410322,0.000010273955,0.0032109502],"genre_scores_gemma":[0.9992055,0.0000032359633,0.000162671,0.0003372462,0.000036019323,0.000008064046,1.2494671e-7,0.0000036218185,0.00024346392],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997784,0.00001774059,0.0003680944,0.0002524202,0.001451953,0.00012579287],"domain_scores_gemma":[0.9991199,0.000109120636,0.0006343415,0.000007634382,0.000107318025,0.000021692082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013066749,0.0000689981,0.00013791272,0.00018849657,0.0005523094,0.000017320554,0.00084984885,0.00002739523,0.00005683092],"category_scores_gemma":[0.0005230589,0.00005005114,0.00009338916,0.0010009252,0.0006257151,0.00028471652,0.00032775317,0.00016492508,3.8639547e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010296126,0.000046552846,0.0021446897,0.000021244872,0.0000017029012,4.4316577e-9,0.000043272674,0.00028481727,0.948183,0.0488463,0.0001968227,0.00022129258],"study_design_scores_gemma":[0.00013980092,0.000106270025,0.0133344205,0.00002183687,0.000005877907,0.000008949539,0.0001211602,0.003964527,0.90508074,0.077031486,0.00011749805,0.00006744848],"about_ca_topic_score_codex":0.000012294206,"about_ca_topic_score_gemma":3.7111782e-8,"teacher_disagreement_score":0.04310228,"about_ca_system_score_codex":0.000026590593,"about_ca_system_score_gemma":0.000021319544,"threshold_uncertainty_score":0.42479733},"labels":[],"label_agreement":null},{"id":"W4306751729","doi":"10.1073/pnas.2207912119","title":"Multiple forms of working memory emerge from synapse–astrocyte interactions in a neuron–glia network model","year":2022,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"HORIZON EUROPE Marie Sklodowska-Curie Actions; European Commission","keywords":"Neuroscience; Synapse; Neuron; Population; Biological neural network; Premovement neuronal activity; Astrocyte; Memory formation; Working memory; Biology; Central nervous system; Hippocampus; Cognition; Medicine","score_opus":0.08578536731199939,"score_gpt":0.2950384207279174,"score_spread":0.20925305341591804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306751729","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996977,0.00001960943,0.000008471354,0.0011571991,0.000098551835,0.000175318,0.000036901205,0.000010042512,0.0015169638],"genre_scores_gemma":[0.9990076,0.00001091265,0.00036106576,0.00043851585,0.000043800777,0.000025112911,2.836523e-7,0.0000050804974,0.0001076721],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981445,0.000016313856,0.00039795495,0.00030591254,0.0009568215,0.00017846549],"domain_scores_gemma":[0.9990586,0.0003060336,0.0005456204,0.000012046003,0.0000549212,0.000022778711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006581297,0.000087696906,0.00014949126,0.00018214218,0.00033224816,0.000014789412,0.00077712,0.000022771936,0.000021939117],"category_scores_gemma":[0.0005699943,0.00006666135,0.00008465864,0.00118563,0.00029423964,0.00043685827,0.00040203842,0.00032956226,2.8722508e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058849924,0.000063866275,0.0076486957,0.0000098440105,0.0000031933755,1.4629088e-8,0.00015267439,0.14602631,0.8335029,0.012074385,0.0001921614,0.000267108],"study_design_scores_gemma":[0.0002636062,0.000058094927,0.020578766,0.00005836351,0.000008336539,0.0000053159,0.00023393454,0.7347912,0.18175755,0.06206904,0.00007811453,0.00009763353],"about_ca_topic_score_codex":0.000017409773,"about_ca_topic_score_gemma":0.0000015727957,"teacher_disagreement_score":0.6517453,"about_ca_system_score_codex":0.000053533557,"about_ca_system_score_gemma":0.000026897706,"threshold_uncertainty_score":0.2718371},"labels":[],"label_agreement":null},{"id":"W4306916534","doi":"10.3390/e24101498","title":"How the Brain Becomes the Mind: Can Thermodynamics Explain the Emergence and Nature of Emotions?","year":2022,"lang":"en","type":"article","venue":"Entropy","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Carnot cycle; Non-equilibrium thermodynamics; Cognitive psychology; Psychology; Thermodynamic system; Computer science; Statistical physics; Thermodynamics; Physics","score_opus":0.015223097922001468,"score_gpt":0.23235599740471113,"score_spread":0.21713289948270967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306916534","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8591516,0.00012165641,0.00014340424,0.13938975,0.0006663723,0.000291733,0.0000755126,0.0000116106385,0.00014835292],"genre_scores_gemma":[0.99502367,0.000059342852,0.000007894021,0.003307414,0.000059120855,0.00003571535,0.0000035381183,0.000010128521,0.0014931671],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988351,0.00038051824,0.000105297695,0.00021291479,0.00030102918,0.00016517226],"domain_scores_gemma":[0.99891686,0.00059415406,0.00010650138,0.00034688297,0.0000147945675,0.000020787342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030048093,0.00009701868,0.00007661896,0.000025034939,0.00092322857,0.00006852918,0.0004664305,0.000025591587,0.000087048735],"category_scores_gemma":[0.00026933374,0.00004422806,0.000061153914,0.00027959264,0.00019669198,0.000052841795,0.0002127675,0.00046029384,7.629712e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008063229,0.00011934847,0.0011928071,0.000012932412,0.00003430588,0.000013206071,0.0043573976,0.0014686831,0.60159606,0.36082634,0.0128828725,0.017415408],"study_design_scores_gemma":[0.0020321629,0.0012800096,0.096100226,0.000029325223,0.00017287208,0.0005862859,0.029591015,0.4408103,0.050842017,0.08749119,0.28985235,0.0012122705],"about_ca_topic_score_codex":0.000027350858,"about_ca_topic_score_gemma":0.00007955866,"teacher_disagreement_score":0.550754,"about_ca_system_score_codex":0.000020416748,"about_ca_system_score_gemma":0.000019647705,"threshold_uncertainty_score":0.7100821},"labels":[],"label_agreement":null},{"id":"W4307138641","doi":"10.1038/s41598-022-22430-7","title":"Neuromodulator-dependent synaptic tagging and capture retroactively controls neural coding in spiking neural networks","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Georg-August-Universität Göttingen; Deutsche Forschungsgemeinschaft","keywords":"Neuromodulation; Neuroscience; Memory consolidation; Computer science; Consolidation (business); Spiking neural network; Artificial neural network; Psychology; Artificial intelligence; Central nervous system; Hippocampus","score_opus":0.0195759496418376,"score_gpt":0.23058303830489726,"score_spread":0.21100708866305967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307138641","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98741204,0.00009188631,0.00019070636,0.000488707,0.010929798,0.00052683015,0.0000051663133,0.00010987221,0.00024499468],"genre_scores_gemma":[0.99879295,0.0000028254476,0.000009848521,0.00063841604,0.000071780814,0.000047468056,0.000009870485,0.000031608524,0.00039526215],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9962348,0.00034141983,0.00056337344,0.0014469218,0.0007935808,0.0006199206],"domain_scores_gemma":[0.99869454,0.00018600044,0.00043466137,0.00050837465,0.000035101843,0.00014134265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013811958,0.00023867191,0.00029297263,0.0003314375,0.0011771526,0.0005617494,0.00021474621,0.00005220124,0.000051208626],"category_scores_gemma":[0.00046469943,0.00023678513,0.000088832254,0.00083412183,0.00019970273,0.00043202762,0.0004478902,0.00073665084,7.866976e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008957298,0.00010357239,0.018671243,0.00002151107,0.0000079504925,0.007116975,0.00041701124,0.17335992,0.7962453,0.0007729628,0.00025991877,0.0029341138],"study_design_scores_gemma":[0.0003699422,0.000091212445,0.007122717,0.000013413553,0.000015041657,0.0033831282,0.00015433152,0.9848656,0.0019360542,0.0011578155,0.00056552474,0.00032521886],"about_ca_topic_score_codex":0.000055542878,"about_ca_topic_score_gemma":0.000027073705,"teacher_disagreement_score":0.8115057,"about_ca_system_score_codex":0.0001642702,"about_ca_system_score_gemma":0.0000370622,"threshold_uncertainty_score":0.9655817},"labels":[],"label_agreement":null},{"id":"W4307139460","doi":"10.1038/s41467-022-33942-1","title":"Functional architecture of executive control and associated event-related potentials in macaques","year":2022,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Institute of Mental Health; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; U.S. Department of Health and Human Services; Government of Canada; National Eye Institute; Vanderbilt University; York University","keywords":"Neuroscience; Saccade; Electrophysiology; Local field potential; Event-related potential; Psychology; Executive functions; Stimulus (psychology); Microstimulation; Computer science; Biology; Cognition; Eye movement; Cognitive psychology","score_opus":0.01556124246572407,"score_gpt":0.26697692524909405,"score_spread":0.25141568278337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307139460","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97676885,0.0018724753,0.00020498164,0.016213294,0.0005182297,0.000747862,0.000609137,0.00009386966,0.0029713148],"genre_scores_gemma":[0.9985802,0.000099532044,0.00004507749,0.00083606294,0.000004842524,0.000050398652,0.000081054335,0.000008529246,0.00029427485],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99866104,0.00062399457,0.00022265052,0.00017601621,0.00020648989,0.00010981573],"domain_scores_gemma":[0.9987486,0.00064661965,0.00016426812,0.00037149322,0.000044243094,0.000024763107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025446562,0.000078082296,0.00013407605,0.00015461736,0.00032478207,0.000012185539,0.0003398203,0.00009320523,0.000045664456],"category_scores_gemma":[0.00054460956,0.00007673429,0.000049300357,0.0005006657,0.00011937246,0.000055958353,0.00027252827,0.0010695616,8.520245e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019500927,0.000803786,0.008468274,0.000008999824,0.000054600954,0.0000070641636,0.0006282828,0.004355611,0.881786,0.098157056,0.002485627,0.0030496959],"study_design_scores_gemma":[0.009958796,0.0008636596,0.7511617,0.00010905634,0.00019730575,0.00023141701,0.0009344807,0.10081759,0.015608003,0.090700544,0.02832606,0.0010913898],"about_ca_topic_score_codex":0.000023958753,"about_ca_topic_score_gemma":0.00011316932,"teacher_disagreement_score":0.866178,"about_ca_system_score_codex":0.000060036607,"about_ca_system_score_gemma":0.000033241908,"threshold_uncertainty_score":0.46467724},"labels":[],"label_agreement":null},{"id":"W4307259037","doi":"10.1101/2022.10.20.513073","title":"Reduced oriens-lacunosum/moleculare (OLM) cell model identifies biophysical current balances for <i>in vivo</i> theta frequency spiking resonance","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto; Ontario Brain Institute; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada; Universities Space Research Association","keywords":"Neuroscience; Computer science; Computational model; Compartment (ship); Computational neuroscience; In vivo; Biological system; Artificial intelligence; Biology","score_opus":0.02473698484728894,"score_gpt":0.2479664203336411,"score_spread":0.22322943548635216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307259037","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9887824,0.0010889487,0.0017277914,0.00026083871,0.004546514,0.0017238935,0.0014881473,0.00032860067,0.000052881278],"genre_scores_gemma":[0.9965027,0.0006638773,0.00092109595,0.00030237375,0.00035928437,0.001035115,0.0000013712842,0.00017171632,0.000042449214],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9949819,0.00025798572,0.0007878829,0.0022819524,0.00077176606,0.0009185242],"domain_scores_gemma":[0.99740696,0.0001967104,0.0006190146,0.0013716279,0.00021495078,0.00019073267],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00052295666,0.0007490633,0.0007211463,0.00034167268,0.00046088872,0.000385695,0.0011970521,0.00028442565,0.000032673634],"category_scores_gemma":[0.000431753,0.00080129894,0.0003642127,0.0008892234,0.0001786659,0.000322286,0.00085700175,0.0012620217,0.000011504867],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006301913,0.00027190775,0.0002934879,0.00044942173,0.000007391756,0.0000490501,0.000018272858,0.0018421698,0.9932302,0.0035129809,0.00025791,0.0000041663397],"study_design_scores_gemma":[0.0006516314,0.00008940047,0.0010923855,0.0003523354,0.000057865276,3.265403e-8,0.0000042282677,0.051975667,0.9411563,0.00026466616,0.0032552755,0.0011001582],"about_ca_topic_score_codex":0.00003000243,"about_ca_topic_score_gemma":0.0000037974964,"teacher_disagreement_score":0.05207387,"about_ca_system_score_codex":0.00042060806,"about_ca_system_score_gemma":0.00048317693,"threshold_uncertainty_score":0.99944377},"labels":[],"label_agreement":null},{"id":"W4307405281","doi":"10.1002/cjs.11738","title":"Variation pattern classification of functional data","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Discriminative model; Pattern recognition (psychology); Artificial intelligence; Consistency (knowledge bases); Feature (linguistics); Mathematics; Moment (physics); Computer science; Basis (linear algebra); Dimensionality reduction","score_opus":0.1343620250027681,"score_gpt":0.25286635951700537,"score_spread":0.11850433451423728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307405281","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16042982,0.00004330481,0.8191983,0.0022531599,0.0051486846,0.00017665257,0.011927125,0.0000070673345,0.00081586494],"genre_scores_gemma":[0.99891406,0.000005107245,0.00047532516,0.00032622833,0.00008261836,8.223333e-7,0.000088319015,0.0000071578033,0.00010033578],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99906886,0.00009229274,0.00027853771,0.00010663787,0.00035547145,0.00009821031],"domain_scores_gemma":[0.9990362,0.00016626903,0.0003543416,0.0001695646,0.0001516607,0.00012198537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035859738,0.0000452777,0.00007843052,0.00016141823,0.00018387979,0.000023369626,0.00026544454,0.000013397232,0.0005566001],"category_scores_gemma":[0.00068019767,0.00004699419,0.000015424908,0.00016680072,0.000041233783,0.00013047011,0.000027734064,0.000170822,0.0000029463727],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017032766,0.0002300562,0.014368873,0.00009715901,0.0000680706,0.0005496452,0.0010694547,0.019228939,0.36861214,0.20750268,0.20312822,0.18497443],"study_design_scores_gemma":[0.0012256686,0.00090220454,0.5230186,0.000023804028,0.00011500679,0.00088099117,0.00038606097,0.35943693,0.00065593456,0.02278686,0.0902038,0.00036414704],"about_ca_topic_score_codex":0.0005678046,"about_ca_topic_score_gemma":0.0017522381,"teacher_disagreement_score":0.8384843,"about_ca_system_score_codex":0.00015341012,"about_ca_system_score_gemma":0.0007718997,"threshold_uncertainty_score":0.60943806},"labels":[],"label_agreement":null},{"id":"W4307414263","doi":"10.1101/2022.10.26.513932","title":"Spike-phase coupling patterns reveal laminar identity in primate cortex","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Institutes of Health; Canada First Research Excellence Fund","keywords":"Laminar flow; Neuroscience; Laminar organization; Cerebral cortex; Electrophysiology; Cortex (anatomy); Computer science; Biological system; Pattern recognition (psychology); Physics; Biology; Artificial intelligence; Mechanics","score_opus":0.024226060578036803,"score_gpt":0.2781186723381913,"score_spread":0.25389261176015454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307414263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933724,0.000096955504,0.0008768129,0.0001557858,0.0033743328,0.0010066987,0.0007151337,0.0003896147,0.00001228631],"genre_scores_gemma":[0.99828225,0.00029613753,0.00019813834,0.0005198397,0.00026789968,0.0002630148,0.0000013168274,0.00014719246,0.000024189134],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9956581,0.00020695465,0.0008014667,0.0017493833,0.0008136025,0.0007704803],"domain_scores_gemma":[0.99760485,0.00013960298,0.00062481285,0.0012859979,0.00012071787,0.00022400598],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00094158767,0.00060165627,0.00063762633,0.00048154793,0.0003405091,0.00039552027,0.0010203713,0.00032123498,0.00021843164],"category_scores_gemma":[0.0004723502,0.00070464145,0.0001955724,0.00094598584,0.00010195728,0.00047218884,0.0014902723,0.0016390661,0.000059273527],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006698593,0.0004159902,0.012371394,0.00039003565,0.000012436166,0.00067874236,0.000010010404,0.00060064206,0.98398316,0.0014163328,0.00005173914,0.0000025556317],"study_design_scores_gemma":[0.003805754,0.0005342857,0.40452152,0.0009933092,0.00016909992,3.1672985e-7,0.000015930385,0.052277263,0.5304044,0.000047758218,0.0039991103,0.0032312886],"about_ca_topic_score_codex":0.00014182267,"about_ca_topic_score_gemma":0.000017873148,"teacher_disagreement_score":0.45357877,"about_ca_system_score_codex":0.00067228166,"about_ca_system_score_gemma":0.00031384215,"threshold_uncertainty_score":0.99954045},"labels":[],"label_agreement":null},{"id":"W4307578558","doi":"10.1101/2022.10.26.513942","title":"Resting-state EEG dynamics help explain differences in response control in ADHD: Insight into electrophysiological mechanisms and sex differences","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Brock University","funders":"Brock University","keywords":"Psychology; Electroencephalography; Resting state fMRI; Electrophysiology; Neuroscience; Endophenotype; Attention deficit hyperactivity disorder; Alpha (finance); Response inhibition; Audiology; Developmental psychology; Cognition; Clinical psychology; Medicine","score_opus":0.020338235043428608,"score_gpt":0.22411109310645566,"score_spread":0.20377285806302706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307578558","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962473,0.00013527021,0.000969042,0.0005101674,0.00073574256,0.000999872,0.00018155985,0.00021750966,0.000003572239],"genre_scores_gemma":[0.9980658,0.00039230767,0.0003630142,0.0005259257,0.000057166657,0.0005053666,5.887336e-7,0.00007434022,0.00001545565],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9939332,0.001982614,0.00079992093,0.0019018691,0.0005800068,0.0008024127],"domain_scores_gemma":[0.99735,0.0011823378,0.000468919,0.00071734993,0.00006645433,0.00021493659],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001125321,0.000709605,0.0009574608,0.0007168559,0.00030440485,0.0003022643,0.00078659004,0.0003968839,0.000032927164],"category_scores_gemma":[0.0015221724,0.00065648765,0.00010335159,0.0009554284,0.00024947594,0.00019331159,0.00089383544,0.0018189929,0.0000045540323],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009811703,0.00020152677,0.008803779,0.000102659236,0.000011306324,0.0003642947,0.00007639888,0.0001683303,0.98766786,0.0016079335,0.0000034124587,0.000011350632],"study_design_scores_gemma":[0.002574353,0.0018509809,0.7513408,0.00048281043,0.000043842483,3.0279247e-7,0.00006739767,0.16811113,0.07167796,0.001520038,0.00010551676,0.0022248672],"about_ca_topic_score_codex":0.000252283,"about_ca_topic_score_gemma":0.000088308094,"teacher_disagreement_score":0.9159899,"about_ca_system_score_codex":0.0006121633,"about_ca_system_score_gemma":0.0003161255,"threshold_uncertainty_score":0.9995886},"labels":[],"label_agreement":null},{"id":"W4307775810","doi":"10.7554/elife.81476","title":"Precise and stable edge orientation signaling by human first-order tactile neurons","year":2022,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research; Vetenskapsrådet; Canada Research Chairs; Health Research","keywords":"Orientation (vector space); Enhanced Data Rates for GSM Evolution; Neuroscience; Order (exchange); Cell biology; Biology; Computer science; Artificial intelligence; Mathematics; Business; Geometry","score_opus":0.022297281020126448,"score_gpt":0.2540521912043551,"score_spread":0.23175491018422867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307775810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99825865,0.000022164408,0.00011617142,0.00030036745,0.00034340413,0.00017291096,0.00003318004,0.000036468336,0.0007166655],"genre_scores_gemma":[0.9975265,0.00001356081,0.000017964483,0.0006628164,0.000027162676,0.00004689926,0.000015042865,0.0000126378445,0.0016774088],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99914557,0.0000755781,0.00012165111,0.00028384387,0.00021884972,0.00015452746],"domain_scores_gemma":[0.99969494,0.000108093904,0.000049642706,0.000096058764,0.000011599431,0.00003964313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000111090856,0.00006839277,0.00006714584,0.00005733468,0.00045701058,0.00004682882,0.000063306616,0.000013150966,0.00024581718],"category_scores_gemma":[0.000101072976,0.000073397154,0.000013569968,0.00027347272,0.000020423908,0.00015829403,0.00008968068,0.00015009183,0.000005513402],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002524434,0.000103580955,0.002482727,0.000008542725,7.6791173e-7,0.00001366307,0.0002742366,0.0022814996,0.98770785,0.00055524684,0.0061073788,0.0004392764],"study_design_scores_gemma":[0.0032023173,0.0012130275,0.011595767,0.000025592883,0.000026129788,0.00007621681,0.0007375614,0.097262114,0.51734394,0.0013075834,0.366255,0.00095477456],"about_ca_topic_score_codex":0.00006669411,"about_ca_topic_score_gemma":0.00002469042,"teacher_disagreement_score":0.47036391,"about_ca_system_score_codex":0.000038114642,"about_ca_system_score_gemma":0.000011763477,"threshold_uncertainty_score":0.3515002},"labels":[],"label_agreement":null},{"id":"W4307825691","doi":"10.1101/2022.10.29.514374","title":"Routing States Transition During Oscillatory Bursts and Attentional Selection","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Mental Health; Canadian Institutes of Health Research","keywords":"Neuroscience; Striatum; Routing (electronic design automation); Ventral striatum; Anterior cingulate cortex; Psychology; Computer science; Biology; Cognition; Computer network","score_opus":0.013559955010945264,"score_gpt":0.21215207523404211,"score_spread":0.19859212022309686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307825691","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962889,0.00009766237,0.0006638936,0.0003018891,0.0014404122,0.00050919736,0.00023036002,0.00046076026,0.00000695465],"genre_scores_gemma":[0.99872935,0.00022687804,0.00017955192,0.00028799742,0.00033105072,0.00013007985,9.75853e-7,0.00009682816,0.000017302387],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9969877,0.00026044733,0.00043210125,0.0012856561,0.00055437715,0.00047969507],"domain_scores_gemma":[0.9989049,0.000096351425,0.000337577,0.00036657057,0.00012458421,0.00017004673],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042124034,0.0004242154,0.0003288932,0.00031532347,0.00080750516,0.00028908008,0.00023023496,0.00022802965,0.0001160339],"category_scores_gemma":[0.00014763093,0.0004978772,0.0001251095,0.00048171525,0.000108377615,0.0002877984,0.0003578768,0.00093223754,0.000011717056],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004587914,0.000054208584,0.0036807628,0.00021666366,0.000020750162,0.000032454125,0.000018774617,0.0018442188,0.9932835,0.0007761179,0.000025503778,0.0000011768327],"study_design_scores_gemma":[0.0012596007,0.00018379153,0.37313592,0.00033617072,0.000148942,7.476915e-7,0.000018292812,0.047148712,0.57467437,0.00004905675,0.0012871331,0.0017572325],"about_ca_topic_score_codex":0.00003669347,"about_ca_topic_score_gemma":0.000001963056,"teacher_disagreement_score":0.4186091,"about_ca_system_score_codex":0.00040776728,"about_ca_system_score_gemma":0.00015818026,"threshold_uncertainty_score":0.9997473},"labels":[],"label_agreement":null},{"id":"W4308099311","doi":"10.1038/s42003-022-04109-x","title":"The complexity of the stream of consciousness","year":2022,"lang":"en","type":"article","venue":"Communications Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"NIHR Cambridge Biomedical Research Centre; Canadian Institute for Advanced Research; University of Cambridge; James S. McDonnell Foundation; Evelyn Trust; Royal College of Anaesthetists; Cambridge University Hospitals; Cambridge Trust; Wellcome Trust; Canada Excellence Research Chairs, Government of Canada; National Institute for Health and Care Research; Medical Research Council","keywords":"Consciousness; Phenomenology (philosophy); Cognitive science; Psychology; Representation (politics); Cognitive psychology; Computer science; Epistemology; Neuroscience; Philosophy","score_opus":0.11326598891553041,"score_gpt":0.31825558276708216,"score_spread":0.20498959385155174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308099311","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9700204,0.00026481433,0.00005607605,0.020931892,0.0005348284,0.00033147476,0.0002443887,0.00002112415,0.0075950064],"genre_scores_gemma":[0.99948585,0.00009629375,0.000034014243,0.00022203666,0.0000027113733,0.000026493986,0.0000063118923,0.0000023559062,0.00012391534],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99897605,0.0006839535,0.00015277237,0.000071440074,0.000049910268,0.0000659004],"domain_scores_gemma":[0.9977919,0.0008043239,0.00016156511,0.001205019,0.000030215855,0.000007006355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018735578,0.000032499473,0.00006518761,0.000016389084,0.00083026657,0.0000029938085,0.0014570382,0.000012251864,0.000020616626],"category_scores_gemma":[0.00023709646,0.000018736848,0.000042351912,0.0002355304,0.0021353527,0.000009766103,0.001181983,0.00014509053,8.881016e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009285994,0.000076320546,0.0029762525,0.0000015833549,0.0000028779432,1.7642257e-8,0.00006635431,0.00002965695,0.20482892,0.7893266,0.00017257372,0.0025095367],"study_design_scores_gemma":[0.00088583305,0.00060028624,0.052533463,0.00001159323,0.00003971815,0.00005798305,0.0014768703,0.031228412,0.12062033,0.489687,0.3025735,0.00028501198],"about_ca_topic_score_codex":0.00005374387,"about_ca_topic_score_gemma":0.000111008936,"teacher_disagreement_score":0.30240095,"about_ca_system_score_codex":0.00001306472,"about_ca_system_score_gemma":0.000030177584,"threshold_uncertainty_score":0.7867796},"labels":[],"label_agreement":null},{"id":"W4308410241","doi":"10.1523/jneurosci.0708-22.2022","title":"Temporal Dynamics of Competition between Statistical Learning and Episodic Memory in Intracranial Recordings of Human Visual Cortex","year":2022,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute of Mental Health; Canadian Institute for Advanced Research; National Institutes of Health; National Science Foundation","keywords":"Episodic memory; Computer science; Task (project management); Neural correlates of consciousness; Artificial intelligence; Cognitive psychology; Encoding (memory); Dynamics (music); Cognitive science; Machine learning; Psychology; Neuroscience; Cognition","score_opus":0.023350179308253272,"score_gpt":0.2974236825885878,"score_spread":0.27407350328033453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308410241","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977658,0.0000039043875,0.0014589506,0.00017937859,0.00041339555,0.00008397528,0.000030118352,0.0000053043,0.00005919395],"genre_scores_gemma":[0.99972,0.000018048588,0.0001028372,0.000076361575,0.000035056597,9.023252e-7,0.0000022785878,0.000008856188,0.00003566993],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998017,0.000330812,0.00065252685,0.00022594418,0.0005999461,0.00017373549],"domain_scores_gemma":[0.998688,0.0003719043,0.0007578335,0.000056367993,0.000050969717,0.00007494966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007454624,0.000093971306,0.00029719627,0.00031305695,0.0002075668,0.000025478479,0.00022615238,0.000024002851,0.00002688551],"category_scores_gemma":[0.00064523553,0.000091475944,0.00004791085,0.0005085857,0.00035613234,0.00024352846,0.00015232558,0.00057683775,1.3388457e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000086667336,0.00012941456,0.052169044,0.000026254424,6.557393e-7,0.00010461153,0.00007857596,0.00032809327,0.94150925,0.0014233678,0.0000052840805,0.0041387915],"study_design_scores_gemma":[0.0021355597,0.011555047,0.8003592,0.00010777913,0.000039357346,0.0011679138,0.0006932608,0.16478258,0.01379358,0.004824242,0.00017216553,0.0003693037],"about_ca_topic_score_codex":0.00003242219,"about_ca_topic_score_gemma":0.000010923229,"teacher_disagreement_score":0.92771566,"about_ca_system_score_codex":0.000069200876,"about_ca_system_score_gemma":0.000061306804,"threshold_uncertainty_score":0.37302807},"labels":[],"label_agreement":null},{"id":"W4308424874","doi":"10.3389/fnetp.2022.974373","title":"On the scaling properties of oscillatory modes with balanced energy","year":2022,"lang":"en","type":"article","venue":"Frontiers in Network Physiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Scaling; Dissipative system; Aperiodic graph; Amplitude; Dissipation; Statistical physics; Constraint (computer-aided design); Action (physics); Energy (signal processing); Physics; Function (biology); Mathematics; Quantum mechanics","score_opus":0.014657964684159147,"score_gpt":0.18004780432869757,"score_spread":0.16538983964453843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308424874","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975808,0.00012909425,0.00056473666,0.00020296674,0.0009446113,0.00012679119,0.0000034206348,0.000020453479,0.00042708198],"genre_scores_gemma":[0.99797225,0.0000335946,0.00007063542,0.0016453072,0.00006809667,0.00007202431,0.0000015327395,0.000012085982,0.00012449671],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892306,0.00032011556,0.00013007525,0.00026092422,0.0001401958,0.00022560018],"domain_scores_gemma":[0.99957985,0.00010883329,0.00009334761,0.00019418287,0.000009004404,0.000014784632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011319801,0.00009356539,0.00017425531,0.00004588015,0.00021654736,0.000004788716,0.00022227252,0.000023093362,0.00001377139],"category_scores_gemma":[0.00003212465,0.00005652591,0.00003253814,0.0003060442,0.00018559846,0.00002979973,0.00009809591,0.00018014046,3.3259442e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006841996,0.000046906527,0.00047455175,0.000006947527,0.0000069253424,0.0000023515645,0.00006362887,0.6728993,0.29739124,0.02144137,0.0060971538,0.00088546146],"study_design_scores_gemma":[0.0008508915,0.0010498004,0.0025160788,0.00007777482,0.000010982277,0.000009588238,0.00042944742,0.8960718,0.036203474,0.05824549,0.004144843,0.00038982704],"about_ca_topic_score_codex":0.000017589025,"about_ca_topic_score_gemma":0.0000043517093,"teacher_disagreement_score":0.26118776,"about_ca_system_score_codex":0.000041157622,"about_ca_system_score_gemma":0.000022237977,"threshold_uncertainty_score":0.23050597},"labels":[],"label_agreement":null},{"id":"W4308450600","doi":"10.31234/osf.io/juzrh","title":"Amplitude modulation perceptually distinguishes music and speech","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute on Deafness and Other Communication Disorders; National Institutes of Health; York University","keywords":"Speech recognition; Computer science; Noise (video); Judgement; Speech perception; Perception; Psychology; Acoustics; Artificial intelligence; Physics","score_opus":0.06318691729869648,"score_gpt":0.27817859374841525,"score_spread":0.21499167644971878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308450600","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9773482,0.000010166345,0.0008050173,0.00045444153,0.0013898553,0.00037215254,0.000034298577,0.00019577004,0.019390114],"genre_scores_gemma":[0.9934828,0.000043568583,0.0005200707,0.00090151274,0.00017255092,0.00003470317,0.000055437784,0.000026717455,0.004762628],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983582,0.000104137354,0.00022191524,0.00079577114,0.00033398255,0.00018598278],"domain_scores_gemma":[0.99929607,0.0001566262,0.00012119738,0.00033981176,0.000025616244,0.000060702838],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00015336557,0.00020364026,0.00018238873,0.00008918081,0.0002472504,0.00021406087,0.00021451362,0.00009106627,0.0012417393],"category_scores_gemma":[0.00035793454,0.00018873601,0.00006932331,0.00010528891,0.00007065994,0.00006488493,0.001178121,0.0004791645,0.0000121536195],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012844215,0.00039592353,0.0077771386,0.00055268774,0.000029349798,0.000193972,0.0021110652,0.011815473,0.72109914,0.060883295,0.0046762773,0.19033723],"study_design_scores_gemma":[0.0009616794,0.00048921927,0.25177175,0.00011467959,0.000107628664,0.000223316,0.0006114841,0.54008186,0.005390554,0.1714018,0.02615212,0.0026938943],"about_ca_topic_score_codex":0.00016580809,"about_ca_topic_score_gemma":0.000051422427,"teacher_disagreement_score":0.7157086,"about_ca_system_score_codex":0.00006850534,"about_ca_system_score_gemma":0.000029199522,"threshold_uncertainty_score":0.9996713},"labels":[],"label_agreement":null},{"id":"W4308766444","doi":"10.1523/jneurosci.1503-22.2022","title":"Recent Advances at the Interface of Neuroscience and Artificial Neural Networks","year":2022,"lang":"en","type":"review","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Institute on Drug Abuse; Medical Research Council; National Health and Medical Research Council; Natural Sciences and Engineering Research Council of Canada; European Commission; Alfred P. Sloan Foundation; Deutsche Forschungsgemeinschaft; National Alliance for Research on Schizophrenia and Depression; National Institutes of Health; Newcastle University","keywords":"Computer science; Flexibility (engineering); Artificial neural network; Computational neuroscience; Cognition; Adaptability; Artificial intelligence; Cognitive neuroscience; Cognitive science; Systems neuroscience; Neuroscience; Nervous system network models; Interface (matter); Psychology; Recurrent neural network; Types of artificial neural networks; Biology","score_opus":0.10158641318163866,"score_gpt":0.3620137702600563,"score_spread":0.2604273570784177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308766444","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024258662,0.98737663,0.0002570297,0.0004945686,0.008810409,0.00048984104,0.000034895584,0.000016982884,0.00009378841],"genre_scores_gemma":[0.0028688686,0.9958525,0.0000059278113,0.0008359971,0.00017317457,0.0000093846575,4.6284143e-7,0.000033369655,0.00022037177],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9953423,0.0008466206,0.0013419639,0.00077298156,0.0012017364,0.00049437926],"domain_scores_gemma":[0.99542576,0.0012156963,0.0026283266,0.00046862153,0.00007423085,0.00018739077],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010502011,0.00041410438,0.0010295828,0.00029153336,0.0007331188,0.00019771766,0.001738274,0.00008235551,0.000039034083],"category_scores_gemma":[0.0025152897,0.0002509989,0.0003860893,0.001800753,0.0012034026,0.00061559153,0.0010019721,0.0012653816,0.0000010918071],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004470192,0.00007406409,0.0000027616004,0.00028151227,0.0000011144655,0.00009017658,0.000024737694,0.0029038212,0.011238767,0.0000854122,0.00015795439,0.98509496],"study_design_scores_gemma":[0.00007551939,0.0007342398,0.000025990399,0.0002772065,0.00008268,0.0028098554,0.000011409945,0.01060415,0.00016195202,0.000055639757,0.9849384,0.00022295618],"about_ca_topic_score_codex":9.4132474e-7,"about_ca_topic_score_gemma":0.0000032467738,"teacher_disagreement_score":0.98487204,"about_ca_system_score_codex":0.00011910774,"about_ca_system_score_gemma":0.00017927824,"threshold_uncertainty_score":0.9999942},"labels":[],"label_agreement":null},{"id":"W4308769609","doi":"10.1523/jneurosci.1132-22.2022","title":"Dendritic Mechanisms for<i>In Vivo</i>Neural Computations and Behavior","year":2022,"lang":"en","type":"review","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Air Force Office of Scientific Research; Université de Bordeaux; Australian Research Council; National Health and Medical Research Council; European Commission; Agence Nationale de la Recherche; Sylvia and Charles Viertel Charitable Foundation","keywords":"Neuroscience; Computer science; Computational model; Artificial intelligence; Cognitive science; Biology; Psychology","score_opus":0.10548546026636946,"score_gpt":0.3495585291565013,"score_spread":0.24407306889013186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308769609","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0060570715,0.9639886,0.0061923848,0.0004085635,0.018841362,0.003755332,0.0005146296,0.00007652129,0.00016551239],"genre_scores_gemma":[0.0018440386,0.99686354,0.00032870765,0.0005977029,0.00007803457,0.00007399426,0.0000010106367,0.000039525497,0.00017343825],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976126,0.00026580438,0.000798255,0.00047599393,0.000528568,0.000318754],"domain_scores_gemma":[0.9979033,0.0009905322,0.00078016566,0.00015732995,0.000033628046,0.00013507636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004222581,0.0002553525,0.00076712784,0.00054769,0.00030351928,0.00016658528,0.0005931526,0.00006539763,0.000017393773],"category_scores_gemma":[0.00085420575,0.00021148878,0.0003156241,0.00077898824,0.00013715739,0.000345982,0.00016381737,0.0006116621,5.861071e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031478656,0.0007240401,0.0000060206785,0.0036712717,0.0000038502108,0.0018225275,0.000094161485,0.00034344385,0.06325811,0.007461338,0.0002705502,0.9223132],"study_design_scores_gemma":[0.0006643534,0.0016823625,0.000049776478,0.0011322846,0.00045305878,0.013832994,0.000027085538,0.0066435826,0.00020568345,0.0018665459,0.9728166,0.00062570226],"about_ca_topic_score_codex":0.0000012025131,"about_ca_topic_score_gemma":0.0000017382766,"teacher_disagreement_score":0.97254604,"about_ca_system_score_codex":0.00009515555,"about_ca_system_score_gemma":0.00016939436,"threshold_uncertainty_score":0.8624262},"labels":[],"label_agreement":null},{"id":"W4308994400","doi":"10.1038/s41467-022-34410-6","title":"Intrinsic brain dynamics in the Default Mode Network predict involuntary fluctuations of visual awareness","year":2022,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"NIHR Cambridge Biomedical Research Centre; Royal College of Anaesthetists; China Scholarship Council; National Institute for Health and Care Research; Medical Research Council; Canadian Institute for Advanced Research; University of Minnesota","keywords":"Default mode network; Precuneus; Perception; Electroencephalography; Consciousness; Neuroscience; Phase synchronization; Cognitive psychology; Brain activity and meditation; Visual perception; Psychology; Resting state fMRI; Computer science; Functional magnetic resonance imaging","score_opus":0.023396383588879185,"score_gpt":0.31280543464248245,"score_spread":0.28940905105360326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308994400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95840675,0.0007232379,0.0008551021,0.034872603,0.0008497666,0.0010026691,0.00046305676,0.00010941268,0.0027174042],"genre_scores_gemma":[0.9950596,0.00010384205,0.00023927337,0.0039087106,0.000041659558,0.00017920545,0.00039312636,0.000015100147,0.00005950237],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979933,0.00093026465,0.0003033943,0.00021901826,0.000365206,0.00018882345],"domain_scores_gemma":[0.9966896,0.0018647091,0.0001525465,0.0012079285,0.000059540278,0.000025663687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005037047,0.000108771324,0.00013281901,0.00014045574,0.00088752253,0.000027673577,0.0017187331,0.0000890477,0.000016353299],"category_scores_gemma":[0.00062627275,0.00009437316,0.00006820506,0.0015509368,0.00016395595,0.0001260109,0.0007648366,0.0014680083,0.0000017545775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012849111,0.0017421261,0.034351643,0.00003183666,0.000027599472,0.000009727625,0.0020736232,0.10616489,0.015194951,0.81179345,0.019476527,0.009005115],"study_design_scores_gemma":[0.00039177117,0.00014791408,0.032922465,0.000015479247,0.00002298458,0.000036208523,0.0008642958,0.94019526,0.0001093112,0.01258433,0.012517436,0.00019255697],"about_ca_topic_score_codex":0.00022207818,"about_ca_topic_score_gemma":0.0058957334,"teacher_disagreement_score":0.8340304,"about_ca_system_score_codex":0.00019756184,"about_ca_system_score_gemma":0.00011659566,"threshold_uncertainty_score":0.6826196},"labels":[],"label_agreement":null},{"id":"W4309251537","doi":"10.1101/2022.11.15.516556","title":"Selective control of synaptic plasticity in heterogeneous networks through transcranial alternating current stimulation (tACS)","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Ontario Brain Institute; University of Ottawa; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Transcranial alternating current stimulation; Neuroscience; Transcranial direct-current stimulation; Stimulation; Neuroplasticity; Brain stimulation; Biological neural network; Synaptic plasticity; Psychology; Computer science; Transcranial magnetic stimulation; Biology","score_opus":0.020799411684207143,"score_gpt":0.24478526801114095,"score_spread":0.2239858563269338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309251537","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93735796,0.00020011715,0.05867115,0.00003151438,0.0022207643,0.0011019174,0.000264187,0.00014885346,0.0000035452224],"genre_scores_gemma":[0.999064,0.00014185581,0.00014513246,0.0001128316,0.00026186914,0.00018959692,4.2904367e-7,0.00008392451,3.5175842e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99656856,0.00046790985,0.0007761367,0.0011202827,0.00054586626,0.0005212375],"domain_scores_gemma":[0.9981849,0.00048915617,0.0006553647,0.00041843185,0.00015639058,0.0000957442],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030157762,0.0004641172,0.00062872644,0.00023024749,0.00018627907,0.00008940759,0.0004773768,0.00023756309,0.00004218877],"category_scores_gemma":[0.00048126935,0.00052212324,0.00018999803,0.0006263983,0.00010220851,0.00017640831,0.00022947956,0.0013179667,0.0000028188665],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019380092,0.00022742772,0.0032426403,0.00016481028,0.000034266493,0.000038448197,0.000015784533,0.4555965,0.54004586,0.00043149566,0.0000019716622,0.0000070036526],"study_design_scores_gemma":[0.0016185341,0.0002508876,0.022057885,0.00026609772,0.00009869039,6.394175e-8,9.900037e-7,0.87750673,0.0974717,0.000020645773,0.00006369792,0.00064404495],"about_ca_topic_score_codex":0.00008179879,"about_ca_topic_score_gemma":0.000007562239,"teacher_disagreement_score":0.44257414,"about_ca_system_score_codex":0.00044146995,"about_ca_system_score_gemma":0.00020150989,"threshold_uncertainty_score":0.999723},"labels":[],"label_agreement":null},{"id":"W4309265099","doi":"10.1007/s00422-022-00951-8","title":"Variational and phase response analysis for limit cycles with hard boundaries, with applications to neuromechanical control problems","year":2022,"lang":"en","type":"article","venue":"Biological Cybernetics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Information and Communications Technology; Medical Research Council; Instituto de Salud Carlos III; National Science Foundation; Canadian Institutes of Health Research; National Institute of Neurological Disorders and Stroke; Bundesministerium für Bildung und Forschung; National Institute on Drug Abuse; UK Research and Innovation; Deutsche Forschungsgemeinschaft; U.S. Department of Energy; Agencia Estatal de Investigación; Agence Nationale de la Recherche; National Institutes of Health","keywords":"Robustness (evolution); Control theory (sociology); Computer science; Central pattern generator; Nonlinear system; Limit cycle; Motor control; Sensory system; Neural system; Neuroscience; Artificial intelligence; Physics; Rhythm; Psychology; Biology; Control (management)","score_opus":0.05294510465622751,"score_gpt":0.273093098360012,"score_spread":0.2201479937037845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309265099","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75540227,0.0000130324115,0.23957664,0.00303622,0.000033407592,0.0012227282,0.00062958803,0.00006435909,0.00002176916],"genre_scores_gemma":[0.9936854,0.0000039123474,0.0028387846,0.002140549,0.000030320374,0.0010442385,0.000052213712,0.000011010531,0.00019356621],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986426,0.00021833989,0.00017643883,0.0005284273,0.00021986035,0.00021433101],"domain_scores_gemma":[0.9987335,0.00083460414,0.00008919125,0.00017273898,0.000050081933,0.00011987407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028199606,0.00013065776,0.00019514209,0.00009291268,0.00059656036,0.0001337745,0.00015908998,0.0000391455,0.000042170675],"category_scores_gemma":[0.00023997398,0.00008686253,0.00004668038,0.00056835444,0.00016103368,0.000029119134,0.00007992187,0.00013392883,0.000001815008],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.028641513,0.0018666378,0.008477914,0.000018974173,0.00025169912,0.00003222755,0.00019717574,0.029844025,0.71881944,0.20561029,0.00035479924,0.0058852923],"study_design_scores_gemma":[0.012755475,0.047497008,0.14150764,0.000009703406,0.0009858673,0.00023063178,0.00012519804,0.22378325,0.0030726197,0.01569662,0.5528262,0.0015097642],"about_ca_topic_score_codex":0.0000055799537,"about_ca_topic_score_gemma":0.000010866191,"teacher_disagreement_score":0.7157468,"about_ca_system_score_codex":0.000036192836,"about_ca_system_score_gemma":0.000054557808,"threshold_uncertainty_score":0.45883206},"labels":[],"label_agreement":null},{"id":"W4309360833","doi":"10.1093/gigascience/giac108","title":"An <i>in vitro</i> whole-cell electrophysiology dataset of human cortical neurons","year":2022,"lang":"en","type":"article","venue":"GigaScience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network; Ontario Brain Institute; Centre for Addiction and Mental Health","funders":"","keywords":"Electrophysiology; Neuroscience; Set (abstract data type); Cortical neurons; Neurophysiology; Metadata; Computer science; Multielectrode array; Patch clamp; Current clamp; Biology; Chemistry; Microelectrode; World Wide Web","score_opus":0.021052139756430454,"score_gpt":0.26742362361989946,"score_spread":0.24637148386346902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309360833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988641,0.0000027656981,0.00007212341,0.00016791005,0.00020968357,0.0001182324,0.0004079088,0.00002174269,0.00013551803],"genre_scores_gemma":[0.99816704,0.0000018587411,0.000045840014,0.0015736489,0.0000144077485,0.000018112942,0.00011774325,0.000007708245,0.000053640604],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99828994,0.0002945499,0.00022720624,0.00053670444,0.0002773834,0.00037422823],"domain_scores_gemma":[0.99932307,0.000101532736,0.00009277459,0.00039431642,0.000009387806,0.00007891534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026735288,0.000091090784,0.0001338852,0.00010657014,0.0003636117,0.000020611415,0.00066994986,0.000017072323,0.000061487095],"category_scores_gemma":[0.000074400334,0.000088709814,0.000029606697,0.0006492799,0.00028087222,0.00019404823,0.0002205677,0.00031457038,0.000009943118],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003688339,0.0002338196,0.00006145664,0.0000028027418,1.0865077e-7,0.000024372399,0.000030843275,0.0005308203,0.997636,0.0010202564,0.00020102055,0.00022160752],"study_design_scores_gemma":[0.00029883388,0.0014240256,0.002608261,9.100182e-7,0.000003060038,0.000033143544,0.00003964563,0.023108093,0.96943074,0.0008703613,0.0020350476,0.00014788091],"about_ca_topic_score_codex":0.00004948822,"about_ca_topic_score_gemma":0.000008337764,"teacher_disagreement_score":0.028205272,"about_ca_system_score_codex":0.000033472574,"about_ca_system_score_gemma":0.000045486027,"threshold_uncertainty_score":0.36174813},"labels":[],"label_agreement":null},{"id":"W4309436561","doi":"10.1016/j.brs.2022.11.003","title":"Phase-amplitude coupling in high-gamma frequency range induces LTP-like plasticity in human motor cortex: EEG-TMS evidence","year":2022,"lang":"en","type":"letter","venue":"Brain stimulation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Ontario Brain Institute; Centre for Addiction and Mental Health","funders":"H2020 European Research Council; Horizon 2020; Medizinischen Fakultät, Eberhard Karls Universität Tübingen; European Research Council; Eberhard Karls Universität Tübingen; Academy of Finland","keywords":"Transcranial magnetic stimulation; Transcranial alternating current stimulation; Neuroscience; Coupling (piping); Oscillation (cell signaling); Amplitude; Motor cortex; Physics; Phase (matter); Plasticity; Human brain; Electroencephalography; Long-term potentiation; Neuroplasticity; Stimulation; Nuclear magnetic resonance; Psychology; Materials science; Chemistry; Optics; Quantum mechanics","score_opus":0.07253692882286318,"score_gpt":0.3184885264781234,"score_spread":0.24595159765526026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309436561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.967578,0.000045616605,0.0005428118,0.028329855,0.0015433603,0.0015372582,0.00019621385,0.00016085987,0.00006604407],"genre_scores_gemma":[0.92593086,0.000021169799,0.00007472557,0.071932316,0.0007296873,0.00023637142,0.0004467948,0.00009440263,0.0005336786],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9951532,0.00044813624,0.0010432915,0.0014981584,0.0011444894,0.0007127103],"domain_scores_gemma":[0.9953251,0.0034472726,0.0006089559,0.00047611943,0.000064832544,0.00007771599],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00061269815,0.00056465255,0.0006499246,0.0009094511,0.00036884437,0.00021555238,0.00063103513,0.00059449224,0.00051607116],"category_scores_gemma":[0.0018488235,0.0006187919,0.00014320038,0.0010055917,0.00012902483,0.00070643745,0.000201291,0.002491046,0.000025607951],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030252783,0.00045513548,0.0035650868,0.00030847258,0.000011046778,0.00096086436,0.00023312123,0.022144685,0.95331615,0.00045620772,0.017672164,0.0005745252],"study_design_scores_gemma":[0.01606734,0.0045700762,0.31100205,0.0024830839,0.00016235457,0.00008050956,0.000056881065,0.6234894,0.0021258527,0.011991001,0.023251636,0.0047198185],"about_ca_topic_score_codex":0.0010137424,"about_ca_topic_score_gemma":0.00022360634,"teacher_disagreement_score":0.9511903,"about_ca_system_score_codex":0.00074451393,"about_ca_system_score_gemma":0.00012642895,"threshold_uncertainty_score":0.9998102},"labels":[],"label_agreement":null},{"id":"W4309550487","doi":"10.1101/2022.11.18.517108","title":"Dendritic excitability controls overdispersion","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Interval (graph theory); Attractor; Cable theory; Dispersion (optics); Statistical physics; Neuronal firing; Computer science; Neuroscience; Function (biology); Range (aeronautics); Physics; Biological system; Mathematics; Psychology; Biology; Mathematical analysis; Materials science; Quantum mechanics; Electrophysiology","score_opus":0.019248866010774923,"score_gpt":0.23141988949427916,"score_spread":0.21217102348350425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309550487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99202144,0.00018676814,0.00046710842,0.0005197557,0.004549287,0.0010754472,0.00054387894,0.0005593018,0.00007698344],"genre_scores_gemma":[0.99768573,0.00012310379,0.00021545101,0.0011866923,0.00034821988,0.0002975459,3.5706867e-7,0.00011632213,0.000026562919],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99578637,0.00048489406,0.0005553053,0.0017292377,0.0007729906,0.00067120505],"domain_scores_gemma":[0.99729025,0.00035658167,0.00037523653,0.0015497458,0.00014933024,0.00027887616],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00062789314,0.00055440736,0.0005766642,0.00023486667,0.0005180156,0.0003051305,0.0008187055,0.0003294407,0.00063019566],"category_scores_gemma":[0.0011660488,0.0005985334,0.00030972765,0.0005257093,0.0001812762,0.00023165459,0.0012568928,0.0013522342,0.0001031413],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005887635,0.0001868676,0.0016936043,0.00017992764,0.000016750286,0.000100021556,0.0000034637858,0.0002051911,0.9944233,0.0029497517,0.00018059071,0.0000016576929],"study_design_scores_gemma":[0.002795593,0.00049421925,0.21767005,0.0003703014,0.00030578757,1.948155e-7,0.000011668108,0.019654876,0.71093184,0.0001506248,0.043943398,0.0036714382],"about_ca_topic_score_codex":0.000041039715,"about_ca_topic_score_gemma":0.0000013758907,"teacher_disagreement_score":0.28349146,"about_ca_system_score_codex":0.0006088258,"about_ca_system_score_gemma":0.00031762928,"threshold_uncertainty_score":0.9996466},"labels":[],"label_agreement":null},{"id":"W4309600359","doi":"10.1523/eneuro.0265-22.2022","title":"Cortical Pyramidal and Parvalbumin Cells Exhibit Distinct Spatiotemporal Extracellular Electric Potentials","year":2022,"lang":"en","type":"article","venue":"eNeuro","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; HORIZON EUROPE European Research Council; Azrieli Foundation; Israel Science Foundation; United States-Israel Binational Science Foundation; Rosetrees Trust; International Development Research Centre","keywords":"Neocortex; Extracellular; Parvalbumin; Optogenetics; Neuroscience; Hippocampal formation; Depolarization; Electrophysiology; Waveform; Soma; Biological system; Biology; Pattern recognition (psychology); Physics; Biophysics; Computer science; Artificial intelligence; Cell biology; Voltage","score_opus":0.017854190507303906,"score_gpt":0.22203297456118626,"score_spread":0.20417878405388235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309600359","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997541,0.000052371426,0.0004922809,0.00043928938,0.00075525587,0.00023062824,0.00002673163,0.0000934439,0.00036895994],"genre_scores_gemma":[0.9970004,0.000016959939,0.000024163639,0.00059391826,0.00008650124,0.00002458436,0.000008345429,0.000028714863,0.0022163868],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981279,0.00034355736,0.00024949372,0.0005452604,0.00040860803,0.00032520073],"domain_scores_gemma":[0.999285,0.00027528935,0.00010041379,0.00021470794,0.000011481198,0.00011310287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021959827,0.00015601992,0.00015805395,0.000090448026,0.0005064429,0.00008329111,0.00017165754,0.00003129828,0.00035050255],"category_scores_gemma":[0.00023789595,0.00015552269,0.00006446447,0.0003303909,0.000071769275,0.00009668867,0.00020261896,0.00038037958,0.000029022327],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004982945,0.00010026278,0.00058667205,0.000007095769,0.0000014131514,0.00021590256,0.000019919353,0.00016392191,0.99464357,0.0013421803,0.00047645989,0.00239277],"study_design_scores_gemma":[0.0007604937,0.0008246859,0.017889112,0.0000037878297,0.000037369125,0.00031514288,0.000020279887,0.06741503,0.88547987,0.0016531039,0.025077613,0.00052349066],"about_ca_topic_score_codex":0.000019754201,"about_ca_topic_score_gemma":0.0000025993138,"teacher_disagreement_score":0.10916368,"about_ca_system_score_codex":0.000032506003,"about_ca_system_score_gemma":0.000027652986,"threshold_uncertainty_score":0.63420314},"labels":[],"label_agreement":null},{"id":"W4309987655","doi":"10.1101/2022.11.25.517931","title":"Neural alpha oscillations and pupil size differentially index cognitive demand under competing audio-visual task conditions","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft","keywords":"Cognition; Task (project management); Psychology; Pupil diameter; Cognitive psychology; Elementary cognitive task; Alpha (finance); Electroencephalography; Cognitive resource theory; Audiology; Pupil; Neuroscience; Developmental psychology","score_opus":0.0182814211428609,"score_gpt":0.249556630375425,"score_spread":0.2312752092325641,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309987655","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992897,0.00010345796,0.0019477012,0.00051458325,0.001884148,0.0009770495,0.0012342186,0.00040762295,0.000034218003],"genre_scores_gemma":[0.9979822,0.000121500125,0.00008150505,0.0011138241,0.0003076948,0.00023846314,0.0000036492565,0.00012396976,0.000027211057],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9961071,0.00052988064,0.00059441593,0.0015094192,0.000634373,0.00062482903],"domain_scores_gemma":[0.99728334,0.0011148314,0.00055431353,0.0004949029,0.00024481877,0.0003077676],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033654567,0.000619,0.0005580819,0.00030084504,0.0012087693,0.00055581756,0.00037230868,0.000297088,0.0003106159],"category_scores_gemma":[0.0010177937,0.0006837321,0.00017394667,0.0006123232,0.0003792414,0.00027517523,0.0011497277,0.0012833953,0.000017965634],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006483378,0.00023160338,0.014335643,0.00014348513,0.000081434395,0.00007758025,0.000020205656,0.0011019307,0.98197466,0.0019011738,0.00006455223,0.000002880038],"study_design_scores_gemma":[0.0019589884,0.00026180592,0.90654373,0.00029817145,0.00036167967,5.8576006e-7,0.000046656005,0.0476127,0.04055632,0.00008953682,0.00047807422,0.0017917409],"about_ca_topic_score_codex":0.000036334895,"about_ca_topic_score_gemma":0.000009189789,"teacher_disagreement_score":0.94141835,"about_ca_system_score_codex":0.0002061228,"about_ca_system_score_gemma":0.00029790215,"threshold_uncertainty_score":0.99956137},"labels":[],"label_agreement":null},{"id":"W4310113667","doi":"10.7554/elife.77599","title":"Improving the accuracy of single-trial fMRI response estimates using GLMsingle","year":2022,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":171,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"National Science Foundation","keywords":"Functional magnetic resonance imaging; Computer science; Voxel; Artificial intelligence; Replicate; Python (programming language); Machine learning; Generalizability theory; Putamen; Pattern recognition (psychology); Neuroscience; Statistics; Psychology; Mathematics","score_opus":0.06634597806164595,"score_gpt":0.29308871988126306,"score_spread":0.22674274181961712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310113667","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99749917,0.00002258082,0.00039790542,0.0005094184,0.0011532174,0.00027717336,0.000017254624,0.00004817952,0.00007513047],"genre_scores_gemma":[0.9987861,0.0000011362566,0.000235106,0.000733637,0.0001109464,0.000012553637,9.8426e-7,0.000016484122,0.000103067985],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99861985,0.00031265718,0.00022536692,0.00024012677,0.000413276,0.00018872094],"domain_scores_gemma":[0.9978746,0.0015785518,0.00022619846,0.00026359523,0.00002694321,0.00003008956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006379355,0.00009062882,0.00010830744,0.000066012966,0.0006004677,0.000059165148,0.00022036815,0.000018430044,0.00006553622],"category_scores_gemma":[0.004581131,0.00006944887,0.00006853719,0.00033298755,0.000080299986,0.00012940985,0.0002896751,0.00017047656,0.0000037148852],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0052932217,0.00007801972,0.00002973388,0.0000042304027,0.000001469023,0.00000965299,0.0001058204,0.0021908586,0.9907222,0.0001677466,0.00011002692,0.001287057],"study_design_scores_gemma":[0.004207943,0.0010282398,0.00025728933,0.0000112278585,0.000023459203,0.00009987885,0.00018845046,0.17152654,0.818098,0.00024332265,0.004105986,0.00020965135],"about_ca_topic_score_codex":0.00005831751,"about_ca_topic_score_gemma":0.0000016127631,"teacher_disagreement_score":0.17262414,"about_ca_system_score_codex":0.00007497836,"about_ca_system_score_gemma":0.0000832963,"threshold_uncertainty_score":0.5484373},"labels":[],"label_agreement":null},{"id":"W4310368322","doi":"10.1101/2022.11.28.518128","title":"Experience Alters the Timing Rules Governing Synaptic Plasticity and Learning","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Synaptic plasticity; Plasticity; Neuroscience; Metaplasticity; Synaptic scaling; Nonsynaptic plasticity; Spike-timing-dependent plasticity; Computer science; Psychology; Chemistry; Materials science; Biochemistry","score_opus":0.025237228467596365,"score_gpt":0.23047878101380428,"score_spread":0.2052415525462079,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310368322","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99621814,0.00015634563,0.0013499083,0.0002156449,0.0012432197,0.00040046286,0.000090384056,0.00030391256,0.00002200104],"genre_scores_gemma":[0.9985308,0.00020096841,0.00030484304,0.0005139374,0.00017419661,0.00017756465,1.5916667e-7,0.00008119565,0.00001634141],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996976,0.00044889378,0.0003618632,0.001152442,0.00054706493,0.00051372545],"domain_scores_gemma":[0.99809915,0.00075414154,0.00042325622,0.00051393727,0.00005838153,0.0001511527],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004907976,0.0004223737,0.000330134,0.00012255395,0.00129467,0.00045193927,0.00062315445,0.00015574315,0.000092669965],"category_scores_gemma":[0.0019302886,0.00037109127,0.00009593002,0.00031012297,0.00027679253,0.00019772237,0.0014190965,0.0018279841,0.00003204762],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029735284,0.00003294899,0.002437301,0.000119576085,0.000022692708,0.0000712228,0.00010121918,0.004018766,0.9922638,0.00086590316,0.000028816894,0.000008044312],"study_design_scores_gemma":[0.0013550314,0.0005534035,0.17291622,0.0009402417,0.00036782213,0.0000011462279,0.0003003658,0.48514763,0.30161092,0.000019814423,0.032580785,0.0042066067],"about_ca_topic_score_codex":0.000056208177,"about_ca_topic_score_gemma":9.425022e-7,"teacher_disagreement_score":0.69065285,"about_ca_system_score_codex":0.000222078,"about_ca_system_score_gemma":0.00012945161,"threshold_uncertainty_score":0.9998741},"labels":[],"label_agreement":null},{"id":"W4310544637","doi":"10.1016/j.neuroimage.2022.119776","title":"Ensemble learning for the detection of pli-de-passages in the superior temporal sulcus","year":2022,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Centre for Research on Brain Language and Music","funders":"National Institute of Mental Health; McDonnell Center for Systems Neuroscience; China Scholarship Council; National Institutes of Health; NIH Blueprint for Neuroscience Research; Agence Nationale de la Recherche; Fondation Aix-Marseille Universite","keywords":"Sulcus; Artificial intelligence; Pattern recognition (psychology); Computer science; Robustness (evolution); Computer vision; Neuroscience; Psychology; Biology","score_opus":0.03271644495993828,"score_gpt":0.26141389162820977,"score_spread":0.2286974466682715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310544637","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99596006,0.000019724253,0.0012802428,0.001621058,0.00033155177,0.00045141493,0.000009801043,0.000030110423,0.000296057],"genre_scores_gemma":[0.99845976,0.000011825124,0.0000096998265,0.00084054715,0.00004050753,0.00013950128,0.0000013752973,0.000015025246,0.00048176822],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99885213,0.00037687639,0.00014590798,0.00021852036,0.00021978308,0.00018678447],"domain_scores_gemma":[0.9987901,0.00093051593,0.000075624244,0.00017957993,0.000011574918,0.00001261306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053641363,0.0000761026,0.00008071515,0.000055191238,0.0004974878,0.000045934703,0.00027251776,0.00001552067,0.000020793663],"category_scores_gemma":[0.0004778296,0.000050061968,0.000070363916,0.00031471663,0.000055045297,0.00007827243,0.00008031071,0.00035817584,0.0000013208787],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007428327,0.000037735277,0.0010247593,0.000008457125,6.415055e-7,0.000012579614,0.0002890521,0.0018621511,0.98944867,0.00019651139,0.000059829545,0.006985362],"study_design_scores_gemma":[0.0017629488,0.0027085987,0.107218385,0.000008693635,0.00004127093,0.00035906452,0.0024845228,0.27057102,0.50981766,0.001781169,0.10285766,0.0003889751],"about_ca_topic_score_codex":0.00007267308,"about_ca_topic_score_gemma":0.000049235005,"teacher_disagreement_score":0.47963095,"about_ca_system_score_codex":0.000025198615,"about_ca_system_score_gemma":0.000019472434,"threshold_uncertainty_score":0.38263243},"labels":[],"label_agreement":null},{"id":"W4310968080","doi":"10.1101/2022.11.28.518256","title":"Inferring Cognitive State Underlying Conflict Choices in Verbal Stroop Task Using Heterogeneous Input Discriminative-Generative Decoder Model","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Krembil Foundation; University of Toronto; University Health Network","funders":"","keywords":"Prefrontal cortex; Stroop effect; Psychology; Cognition; Neuroscience; Cognitive psychology; Precuneus; Population; Generative model; Discriminative model; Computer science; Artificial intelligence; Generative grammar; Medicine","score_opus":0.08721933692196668,"score_gpt":0.3026845525840642,"score_spread":0.2154652156620975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310968080","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9787577,0.0002047449,0.017282171,0.000044628865,0.0011118308,0.0011857359,0.0011498177,0.00024192108,0.000021458678],"genre_scores_gemma":[0.9976977,0.00019002527,0.00087228394,0.0006345757,0.000104930936,0.0002963806,0.0000019372042,0.00018955804,0.000012600338],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9949308,0.0006015026,0.00080738676,0.001982427,0.0007460985,0.0009318007],"domain_scores_gemma":[0.9977769,0.00033931024,0.00071126904,0.0006669507,0.00024734103,0.00025817496],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00048892054,0.0008587719,0.0007603482,0.00062113465,0.0005951288,0.0005205916,0.00065085135,0.00028788383,0.00004180073],"category_scores_gemma":[0.0004946345,0.00096445414,0.00020150539,0.00074070756,0.00024227792,0.0005462687,0.0014025684,0.0016418587,0.000008178087],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009393024,0.00016495628,0.001197148,0.00013862841,0.000053450694,0.00020153463,0.0001593897,0.21378633,0.7839075,0.0002885307,0.0000025231395,0.0000060807247],"study_design_scores_gemma":[0.0009938889,0.00012564247,0.0040771402,0.00036371947,0.00009896851,1.7951993e-7,0.000028190261,0.67926407,0.31367588,0.00003623055,0.00007818394,0.0012579337],"about_ca_topic_score_codex":0.0002416137,"about_ca_topic_score_gemma":0.0000632257,"teacher_disagreement_score":0.47023162,"about_ca_system_score_codex":0.0010022105,"about_ca_system_score_gemma":0.0006927495,"threshold_uncertainty_score":0.9992806},"labels":[],"label_agreement":null},{"id":"W4310984249","doi":"10.3389/fncom.2022.1037550","title":"Quasicriticality explains variability of human neural dynamics across life span","year":2022,"lang":"en","type":"article","venue":"Frontiers in Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institut de Valorisation des Données; National Science Foundation","keywords":"Life span; Dynamics (music); Span (engineering); Neural system; Computer science; Neuroscience; Psychology; Biology; Evolutionary biology; Engineering","score_opus":0.034137656052064036,"score_gpt":0.3017602178160157,"score_spread":0.26762256176395166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310984249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8988318,0.000003785431,0.09650669,0.001142501,0.0026239567,0.00027922762,0.00036501297,0.00005674241,0.00019028386],"genre_scores_gemma":[0.9966335,0.0000011970288,0.0011285328,0.0020836282,0.000027333896,0.000033951335,0.000022672784,0.000015031564,0.00005414345],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99655277,0.00067322503,0.0005506002,0.0008390451,0.0009309249,0.00045341087],"domain_scores_gemma":[0.9988598,0.0004557459,0.00018850328,0.0002982008,0.00005734006,0.00014040462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000909292,0.00017492071,0.00027386314,0.00015875965,0.0008135617,0.00005687376,0.00066322275,0.000033813827,0.000017838327],"category_scores_gemma":[0.0014838264,0.00019607162,0.00009814876,0.0012412635,0.00068841915,0.00031273562,0.00048291692,0.0004541526,7.5489464e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013036095,0.0010541904,0.17605166,0.000056467372,0.0000016401943,0.000059511574,0.00033996615,0.69887143,0.027886616,0.09328814,0.0005698858,0.001690106],"study_design_scores_gemma":[0.00034943287,0.00022248,0.099661596,0.0000029561788,0.0000022250852,0.000022132548,0.00017272559,0.87583274,0.00023665538,0.023204926,0.000113273345,0.00017886607],"about_ca_topic_score_codex":0.00003297687,"about_ca_topic_score_gemma":0.0000057330567,"teacher_disagreement_score":0.17696127,"about_ca_system_score_codex":0.00022683611,"about_ca_system_score_gemma":0.00011445065,"threshold_uncertainty_score":0.79955685},"labels":[],"label_agreement":null},{"id":"W4311183605","doi":"10.1088/1741-2552/aca82b","title":"Analysis of the neural mechanism of spectra decrease in MCI by a thalamo-cortical coupled neural mass model","year":2022,"lang":"en","type":"article","venue":"Journal of Neural Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Neurophysiology; Electroencephalography; Neurofeedback; Clinical neurophysiology; Neuroscience; Correlation; Psychology; Mathematics","score_opus":0.014277646257034886,"score_gpt":0.21914654328417588,"score_spread":0.20486889702714098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311183605","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99597085,0.000036761023,0.0028846306,0.0004570716,0.00046974374,0.00012537547,0.000032755746,0.000012151954,0.000010659389],"genre_scores_gemma":[0.99962974,0.000010560864,0.000086861706,0.00018974365,0.00002695064,0.000004512176,0.0000013552998,0.000022373008,0.00002788564],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978695,0.00013712152,0.00077100657,0.00021226614,0.00072256604,0.00028752137],"domain_scores_gemma":[0.99886596,0.00027334754,0.000455764,0.00022816713,0.00004962085,0.00012711641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003338786,0.00018248486,0.00048211677,0.00045119226,0.00007979606,0.000028677794,0.0004990323,0.00003756477,0.00004275986],"category_scores_gemma":[0.00039343737,0.00014012515,0.0004431856,0.0014111295,0.00003852014,0.00024567064,0.00013695056,0.0007591933,8.4619614e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060452297,0.00004270109,0.00027484348,0.0000072395615,0.000023882423,0.000032924334,0.000041859978,0.50713056,0.49194962,0.00039872664,0.000003489283,0.000033721466],"study_design_scores_gemma":[0.00046049542,0.00020696872,0.0025760937,0.000008483409,0.00020322402,0.0001178484,0.00004049088,0.9663513,0.029795518,0.000121580335,0.0000023526975,0.00011569162],"about_ca_topic_score_codex":0.000020027313,"about_ca_topic_score_gemma":0.0000033738108,"teacher_disagreement_score":0.4621541,"about_ca_system_score_codex":0.00009652238,"about_ca_system_score_gemma":0.000041513187,"threshold_uncertainty_score":0.57141376},"labels":[],"label_agreement":null},{"id":"W4311238649","doi":"10.21203/rs.3.rs-2322228/v1","title":"Solving large-scale MEG/EEG source localisation and functional connectivity problems simultaneously using state-space models","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary","funders":"Engineering and Physical Sciences Research Council","keywords":"Electroencephalography; Functional connectivity; Scale (ratio); Computer science; Magnetoencephalography; Space (punctuation); State space; Artificial intelligence; Pattern recognition (psychology); Neuroscience; Mathematics; Psychology; Cartography; Geography; Statistics","score_opus":0.11289265074219042,"score_gpt":0.3451475309318431,"score_spread":0.23225488018965268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311238649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9007674,0.00014140956,0.09538961,0.00049156847,0.0005190933,0.0016467487,0.00038247433,0.00019109565,0.00047059415],"genre_scores_gemma":[0.9975148,0.00020525063,0.00017618592,0.00010481004,0.00013812001,0.00016318719,0.00010973594,0.000087603374,0.0015003468],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99362063,0.001502699,0.00037473376,0.0015449228,0.0020266522,0.0009303873],"domain_scores_gemma":[0.99668294,0.0018746556,0.00021210396,0.00058636296,0.0003985271,0.0002454008],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0023522289,0.00036020202,0.00037457084,0.00047363396,0.0016421833,0.00054388127,0.0003125848,0.00023411255,0.00021031691],"category_scores_gemma":[0.0012793673,0.00036847248,0.00013486807,0.0006391305,0.0002651603,0.00040257527,0.0023957663,0.0024919112,0.000008694195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001588555,0.00018003206,0.000560574,0.00059205247,0.000012164585,0.00004035702,0.0014962909,0.94341785,0.051589984,0.00085125654,0.00013352897,0.0009670371],"study_design_scores_gemma":[0.00039185915,0.000189569,0.00031520522,0.00016868468,0.000010788662,0.000036118894,0.00079115346,0.9789587,0.001156838,0.016097305,0.0015137921,0.00036995337],"about_ca_topic_score_codex":0.0006903288,"about_ca_topic_score_gemma":0.00031306883,"teacher_disagreement_score":0.09674735,"about_ca_system_score_codex":0.00072696473,"about_ca_system_score_gemma":0.0004009554,"threshold_uncertainty_score":0.99987674},"labels":[],"label_agreement":null},{"id":"W4311255680","doi":"10.1016/j.neuroimage.2022.119805","title":"Corticospinal excitability is highest at the early rising phase of sensorimotor µ-rhythm","year":2022,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"European Research Council; National Institutes of Health; Bundesministerium für Wirtschaft und Energie; Emil Aaltosen Säätiö; Fondation Brain Canada; Eberhard Karls Universität Tübingen; European Commission; Centre for Addiction and Mental Health Foundation; Horizon 2020; Canadian Institutes of Health Research; KAUTE-Säätiö","keywords":"Electroencephalography; Transcranial magnetic stimulation; Sensorimotor rhythm; Neuroscience; Rhythm; Psychology; Primary motor cortex; Stimulus (psychology); Motor cortex; Somatosensory system; Scalp; Audiology; Stimulation; Physics; Brain–computer interface; Medicine; Cognitive psychology; Anatomy","score_opus":0.04694304730616925,"score_gpt":0.2936435256598738,"score_spread":0.24670047835370454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311255680","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99535257,0.000011641158,0.000066452354,0.0023898464,0.0008707444,0.00031485496,0.00020353789,0.000056295557,0.000734044],"genre_scores_gemma":[0.9964706,0.000005506145,0.000021112084,0.002400828,0.00006326186,0.000020243444,0.00000224162,0.000022115242,0.0009941417],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981503,0.00031275366,0.00028577144,0.00048904057,0.000502756,0.00025937828],"domain_scores_gemma":[0.9988745,0.0003152988,0.00019126563,0.0005285095,0.000031857395,0.000058561014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020234316,0.0001364084,0.00015355444,0.000045185974,0.00063264556,0.0000428744,0.00023466861,0.00001831114,0.00062478],"category_scores_gemma":[0.00024339936,0.000108731976,0.000118680044,0.00034815067,0.0002117707,0.00012846994,0.0003515459,0.00031445554,0.000031675107],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027731006,0.0002022032,0.00040911254,0.000012464841,0.0000017061036,0.0000909216,0.00011188369,0.00004205547,0.99518293,0.0001894243,0.00062965584,0.002850338],"study_design_scores_gemma":[0.0039413483,0.004597296,0.4061251,0.000014858875,0.00008772144,0.0009787377,0.00009691349,0.020928891,0.4698454,0.0018947693,0.090723135,0.0007658377],"about_ca_topic_score_codex":0.000050237308,"about_ca_topic_score_gemma":0.0000021923966,"teacher_disagreement_score":0.5253375,"about_ca_system_score_codex":0.000070929666,"about_ca_system_score_gemma":0.000023237313,"threshold_uncertainty_score":0.6840903},"labels":[],"label_agreement":null},{"id":"W4311617740","doi":"10.1101/2022.12.04.518156","title":"Stimulus information guides the emergence of behavior related signals in primary somatosensory cortex during learning","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Canadian Institute for Advanced Research; University of Toronto; Mila - Quebec Artificial Intelligence Institute; Montreal Neurological Institute and Hospital; The Scarborough Hospital","funders":"Alliance de recherche numérique du Canada; Natural Sciences and Engineering Research Council of Canada; Horizon 2020 Framework Programme; Wellcome Trust; Canadian Institute for Advanced Research","keywords":"Sensory system; Somatosensory system; Neuroscience; Stimulus (psychology); Perception; Population; Psychology; Sensory cortex; Secondary somatosensory cortex; Cognitive psychology; Medicine","score_opus":0.01513679356953515,"score_gpt":0.22277768489921176,"score_spread":0.2076408913296766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311617740","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99720854,0.00011924784,0.00004617201,0.00008854347,0.0011652127,0.0009950034,0.00009904958,0.0002278808,0.00005034611],"genre_scores_gemma":[0.99907845,0.00029696804,0.00009615341,0.00014109307,0.000039881877,0.00026779962,9.090756e-7,0.00005844158,0.000020319992],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99669695,0.00045370197,0.0010874496,0.0006401135,0.00068457134,0.0004371967],"domain_scores_gemma":[0.99772406,0.00020817612,0.0010434804,0.0007605882,0.00017446803,0.000089231966],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007716338,0.00038730106,0.0004425846,0.0004232782,0.00037885655,0.00011864365,0.000696773,0.00024735156,0.00020485425],"category_scores_gemma":[0.0008348937,0.00036572057,0.00015467551,0.0009498997,0.00015403073,0.00047722395,0.00088356424,0.0014455525,0.000022966251],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003960488,0.00008661963,0.012017642,0.00025444131,0.000011445459,0.000045781162,0.000041803887,0.014168149,0.973129,0.00017892692,0.000020673335,0.0000059611734],"study_design_scores_gemma":[0.00052070257,0.00008537553,0.6529645,0.00021849891,0.00006431714,1.7388976e-7,0.000028421653,0.009005304,0.33617762,0.000004336655,0.000335515,0.0005952942],"about_ca_topic_score_codex":0.00005777443,"about_ca_topic_score_gemma":0.0000010581152,"teacher_disagreement_score":0.6409468,"about_ca_system_score_codex":0.00023678163,"about_ca_system_score_gemma":0.00028429765,"threshold_uncertainty_score":0.9998795},"labels":[],"label_agreement":null},{"id":"W4311619462","doi":"10.1101/2022.12.05.519094","title":"Predicting distributed working memory activity in a large-scale mouse brain: the importance of the cell type-specific connectome","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Office of Naval Research; York University; National Institutes of Health; National Science Foundation","keywords":"Connectomics; Connectome; Neuroscience; Working memory; Cognition; Computer science; Interneuron; Psychology; Functional connectivity; Inhibitory postsynaptic potential","score_opus":0.021839697225856047,"score_gpt":0.21912222776383727,"score_spread":0.19728253053798123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311619462","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948142,0.00018220748,0.00013682143,0.00094894116,0.002067869,0.001042973,0.00062059617,0.00016179943,0.000024602361],"genre_scores_gemma":[0.9988937,0.000100965415,0.00003247423,0.00056362746,0.00016618315,0.00013411228,5.0706313e-7,0.00008519435,0.000023274428],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9965312,0.00062064076,0.00054933433,0.0010794416,0.00063338253,0.00058601965],"domain_scores_gemma":[0.9967266,0.00058403396,0.0008604331,0.0016285266,0.000110079985,0.000090332636],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011623042,0.0004162046,0.0004538231,0.00013718674,0.0004770048,0.00014154034,0.0012040543,0.00023543659,0.00006816691],"category_scores_gemma":[0.0006928583,0.0003204581,0.00019760706,0.0015627854,0.00018449969,0.0001255501,0.0015099726,0.0017866497,0.00000410424],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007224246,0.00019637635,0.07172991,0.000110456574,0.000009342096,0.000021987962,0.000035786914,0.0014470097,0.9260173,0.00019073987,0.00016782414,0.0000010208918],"study_design_scores_gemma":[0.00068862067,0.000054658412,0.21677025,0.0001697233,0.000027756543,5.6316836e-8,0.000031261952,0.011091546,0.76670015,0.000006619803,0.0038863332,0.0005730583],"about_ca_topic_score_codex":0.000029683883,"about_ca_topic_score_gemma":0.00003471699,"teacher_disagreement_score":0.15931718,"about_ca_system_score_codex":0.00037724906,"about_ca_system_score_gemma":0.00028956853,"threshold_uncertainty_score":0.9999247},"labels":[],"label_agreement":null},{"id":"W4311664787","doi":"10.1038/s41593-022-01213-3","title":"Serotonin regulation of behavior via large-scale neuromodulation of serotonin receptor networks","year":2022,"lang":"en","type":"article","venue":"Nature Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":98,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"National Institutes of Health; Wellcome Trust; Wellcome; U.S. Department of Health and Human Services","keywords":"Neuromodulation; Neuroscience; Serotonin; 5-HT receptor; Serotonergic; Psychology; Receptor; Biology; Central nervous system","score_opus":0.011871060544456727,"score_gpt":0.249660716713295,"score_spread":0.2377896561688383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311664787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920539,0.000019428104,0.0038118153,0.00025036634,0.0026334524,0.0008983097,0.00009351677,0.00007518274,0.0001640073],"genre_scores_gemma":[0.9983828,0.000011047528,0.00020720714,0.0009118544,0.00004990335,0.00009909479,0.000017014443,0.000026705564,0.0002943864],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9971832,0.0002875923,0.0004472956,0.00074441056,0.0009828691,0.00035461513],"domain_scores_gemma":[0.9987153,0.00014422351,0.00049912103,0.00047110248,0.00009096502,0.00007931788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044015958,0.00018718807,0.00023776309,0.00021547927,0.00044342724,0.000027561366,0.00057327194,0.00013191835,0.00011879752],"category_scores_gemma":[0.00028475953,0.00018905825,0.000116183764,0.0017311635,0.0001773177,0.0003553665,0.00031572446,0.00082062004,0.0000015388949],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007228925,0.00022412401,0.0031546045,0.000011886226,2.9035405e-7,0.000003527952,0.00005522861,0.029536102,0.9646036,0.0011101769,0.00012329515,0.0011048446],"study_design_scores_gemma":[0.0004591162,0.00064819516,0.11996629,0.000010695418,0.0000146097855,0.000059517337,0.000018200224,0.4165672,0.4589989,0.00020965135,0.002815548,0.00023208487],"about_ca_topic_score_codex":0.000007255819,"about_ca_topic_score_gemma":0.000003774362,"teacher_disagreement_score":0.50560474,"about_ca_system_score_codex":0.000055280463,"about_ca_system_score_gemma":0.00004399764,"threshold_uncertainty_score":0.7709572},"labels":[],"label_agreement":null},{"id":"W4311731693","doi":"10.1167/jov.22.14.4382","title":"Metamer generation 2.0: using fMRI and deep learning to assess the specificity of human visual processing and encoding","year":2022,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Artificial intelligence; Visual cortex; Encoding (memory); Computer science; Pattern recognition (psychology); Convolutional neural network; Visual processing; Object (grammar); Function (biology); Image (mathematics); Visual perception; Neuroscience; Computer vision; Psychology; Biology; Perception","score_opus":0.09206929535076605,"score_gpt":0.3595865233762736,"score_spread":0.2675172280255076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311731693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962478,0.00008923574,0.0032484701,0.00017093144,0.0001505474,0.00005915655,3.3402773e-7,0.0000028870998,0.000030630457],"genre_scores_gemma":[0.99942553,0.000028171504,0.00030719885,0.00010752479,0.00010726184,4.2006704e-7,1.9970535e-7,0.0000065591375,0.000017118204],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902993,0.00021770746,0.00024182776,0.000115982955,0.00031829425,0.000076247445],"domain_scores_gemma":[0.9994599,0.00008886565,0.00032827526,0.000034306522,0.00005361911,0.00003501219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007237186,0.00005677088,0.00011472659,0.0001142093,0.00067052135,0.000099529374,0.00006436531,0.0000128213505,0.000012391827],"category_scores_gemma":[0.00014536428,0.0000393797,0.000027443506,0.00018479537,0.000029898501,0.00024066806,0.000101739824,0.00023716128,6.362868e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002248295,0.00002237877,0.0007405329,0.00000696003,0.0000014279713,0.0000047431513,0.00033327713,0.005231326,0.9771751,0.00006778115,0.0000050476656,0.016388923],"study_design_scores_gemma":[0.00046870697,0.0019001721,0.022605434,0.000073705305,0.00005474187,0.00048049376,0.00146871,0.74969244,0.22220011,0.00023906812,0.0006448991,0.0001715369],"about_ca_topic_score_codex":0.0000036412805,"about_ca_topic_score_gemma":0.0000013542865,"teacher_disagreement_score":0.754975,"about_ca_system_score_codex":0.000034149663,"about_ca_system_score_gemma":0.000012831756,"threshold_uncertainty_score":0.51571757},"labels":[],"label_agreement":null},{"id":"W4311800861","doi":"10.1167/jov.22.14.4302","title":"Differential mechanisms of learning-related change","year":2022,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Stimulus (psychology); Contiguity; Cued speech; Pattern recognition (psychology); Computer science; Cognitive psychology; Artificial intelligence; Set (abstract data type); Psychology","score_opus":0.026095811825767826,"score_gpt":0.26679714246058156,"score_spread":0.24070133063481375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311800861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99698263,0.000013931029,0.00089934416,0.00048813506,0.0014117295,0.00006089898,0.0000029186517,0.0000082130055,0.00013221375],"genre_scores_gemma":[0.9994755,0.000028797878,0.000026088479,0.0000991707,0.000049809165,0.0000010357284,7.741343e-7,0.000008288373,0.00031057815],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989293,0.00016964729,0.00027615952,0.000088326495,0.0004487728,0.0000877802],"domain_scores_gemma":[0.9993472,0.000069928756,0.00045261218,0.00005780266,0.000035285695,0.000037133057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001958349,0.000055200646,0.00013018848,0.0001476312,0.00014539936,0.000011888958,0.00014546486,0.000021585694,0.00062533736],"category_scores_gemma":[0.00010434219,0.00004346914,0.00010525921,0.00019641672,0.000015723785,0.00012389544,0.00010630193,0.00034922065,0.000003056303],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010575343,0.00010718844,0.000041516614,0.000004395736,0.0000027267322,0.000026195989,0.000097519114,0.0003244797,0.99110055,0.0020763145,0.00009144865,0.006021908],"study_design_scores_gemma":[0.006149613,0.027416514,0.03587539,0.00020458478,0.00014458474,0.0020140752,0.00064204785,0.14590111,0.7183404,0.050479848,0.012191103,0.00064071803],"about_ca_topic_score_codex":0.0000021402375,"about_ca_topic_score_gemma":1.5099383e-7,"teacher_disagreement_score":0.27276015,"about_ca_system_score_codex":0.000030408799,"about_ca_system_score_gemma":0.000011153495,"threshold_uncertainty_score":0.68470055},"labels":[],"label_agreement":null},{"id":"W4311803061","doi":"10.1167/jov.22.14.4150","title":"Temporal dynamics of neural ensemble coding of remembered target location in the primate prefrontal cortex","year":2022,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Primate; Neural ensemble; Computer science; Coding (social sciences); Decoding methods; Neuroscience; Prefrontal cortex; Working memory; Neural coding; Macaque; Spatial memory; Artificial intelligence; Pattern recognition (psychology); Psychology; Cognition; Mathematics","score_opus":0.021428132107051284,"score_gpt":0.2819494548117845,"score_spread":0.2605213227047332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311803061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980227,0.000028979779,0.00061411376,0.0005280371,0.00046636927,0.00013675069,0.0000123927975,0.0000030659587,0.00018763114],"genre_scores_gemma":[0.99964255,0.000018982693,0.00016890142,0.000093503324,0.000024563975,0.0000012357605,0.0000059906447,0.000007634779,0.000036655638],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99842525,0.0002569749,0.00054487644,0.000108915614,0.000555339,0.000108649234],"domain_scores_gemma":[0.99883497,0.00014539761,0.0007936728,0.000125659,0.00007863612,0.000021679094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007449144,0.00007187128,0.00017898335,0.00015135838,0.00009488655,0.000015287775,0.0002661796,0.000022141112,0.000026310958],"category_scores_gemma":[0.00016192104,0.000051274706,0.000077956785,0.00037210886,0.00003938634,0.00021901875,0.00008123385,0.0002736903,2.785645e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044170328,0.00027567393,0.002651192,0.00004495702,0.0000028527154,0.00003155592,0.00037237568,0.011096916,0.9809794,0.000909272,0.00019824611,0.0029958657],"study_design_scores_gemma":[0.001658956,0.003998775,0.12103182,0.00012676063,0.000026598454,0.0005780968,0.0012343933,0.83595705,0.032055415,0.0028904213,0.0002688484,0.00017285472],"about_ca_topic_score_codex":0.000023502234,"about_ca_topic_score_gemma":0.000021543114,"teacher_disagreement_score":0.948924,"about_ca_system_score_codex":0.0001061224,"about_ca_system_score_gemma":0.000051062398,"threshold_uncertainty_score":0.20909218},"labels":[],"label_agreement":null},{"id":"W4311827658","doi":"10.1101/2022.12.15.520591","title":"Reconstructing Spatio-Temporal Trajectories of Visual Object Memories in the Human Brain","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Encoding (memory); Object (grammar); Recall; Artificial intelligence; Episodic memory; Visual memory; Perception; Functional magnetic resonance imaging; Pattern recognition (psychology); Psychology; Cognition; Neuroscience; Cognitive psychology","score_opus":0.02571809748755061,"score_gpt":0.25930578464373605,"score_spread":0.23358768715618544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311827658","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99638456,0.000060761053,0.000045212106,0.00035657926,0.002023339,0.00074247364,0.00018955821,0.00015546675,0.00004207695],"genre_scores_gemma":[0.9988508,0.000021055099,0.00023834189,0.00033797818,0.00029289047,0.00017495237,0.0000010090171,0.00007469202,0.000008286989],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99633294,0.0007796457,0.0007750559,0.0009857458,0.0006689164,0.00045767706],"domain_scores_gemma":[0.9976944,0.0005585818,0.0007432312,0.00082135416,0.00011253605,0.00006991898],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013117978,0.00044888371,0.0005473707,0.0003709828,0.00044933156,0.00022288003,0.0008564021,0.0002244219,0.000122010664],"category_scores_gemma":[0.0011721213,0.000408429,0.00018396597,0.0010405477,0.0003018142,0.00021753996,0.0005123563,0.0012319017,0.0000032679375],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041086332,0.00016259334,0.054997962,0.00026449148,0.000017703203,0.000071705304,0.00012669846,0.00016243268,0.940146,0.0039076027,0.0000977002,0.0000039810157],"study_design_scores_gemma":[0.0010107358,0.00046657684,0.15787733,0.00033155334,0.00007802063,3.265219e-7,0.00021722881,0.0023509422,0.83303094,0.00013072097,0.003033437,0.0014721871],"about_ca_topic_score_codex":0.00023918893,"about_ca_topic_score_gemma":0.000045490015,"teacher_disagreement_score":0.1071151,"about_ca_system_score_codex":0.00020498126,"about_ca_system_score_gemma":0.00036367835,"threshold_uncertainty_score":0.99983674},"labels":[],"label_agreement":null},{"id":"W4311842076","doi":"10.1101/2022.12.06.519376","title":"Pynapple, a toolbox for data analysis in neuroscience","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Azrieli Foundation; Israel Science Foundation; Natural Sciences and Engineering Research Council of Canada; International Development Research Centre","keywords":"Computer science; Python (programming language); Toolbox; Neuroinformatics; Data type; Computer architecture; Software engineering; Human–computer interaction; Data mining; Programming language; Data science","score_opus":0.05478534585935739,"score_gpt":0.2742709028397638,"score_spread":0.2194855569804064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311842076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97174704,0.00013407377,0.015942896,0.0009319914,0.0039105345,0.0022313974,0.0046086214,0.00046737163,0.000026085134],"genre_scores_gemma":[0.9961888,0.00011856442,0.0015365174,0.001392355,0.00015447929,0.0004953217,0.000003651957,0.0000869077,0.000023364531],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99493086,0.00026201335,0.0006316865,0.0028322113,0.0006300649,0.00071318133],"domain_scores_gemma":[0.99578226,0.00032297385,0.00046679997,0.0031491746,0.00009458607,0.00018418967],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011655729,0.00047824404,0.00064472266,0.00091265526,0.00034124978,0.00039157787,0.002714056,0.00022309287,0.00007491549],"category_scores_gemma":[0.0019216768,0.0005247791,0.00022335972,0.0034132209,0.00015054972,0.00037691943,0.0024203393,0.00090454024,0.000008231827],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006088884,0.00022979456,0.006831489,0.00013828251,0.000033371096,0.00008548527,0.000004201469,0.003633161,0.9861687,0.0024431953,0.00036683123,0.0000046128835],"study_design_scores_gemma":[0.0012417613,0.0002509621,0.17494994,0.00008389641,0.00074286136,4.9396807e-8,0.0000045946385,0.6750298,0.08027294,0.000037010668,0.06508821,0.00229797],"about_ca_topic_score_codex":0.000104099505,"about_ca_topic_score_gemma":0.000023616818,"teacher_disagreement_score":0.90589577,"about_ca_system_score_codex":0.00025156798,"about_ca_system_score_gemma":0.00041430994,"threshold_uncertainty_score":0.9997204},"labels":[],"label_agreement":null},{"id":"W4311924632","doi":"10.1101/2022.12.19.521088","title":"Hippocampal ripples coincide with “up-state” and cortical spindles in Retrosplenial Cortex","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Retrosplenial cortex; Neuroscience; Hippocampal formation; Neocortex; Hippocampus; Memory consolidation; Local field potential; Cortex (anatomy); Psychology","score_opus":0.01631838997164515,"score_gpt":0.22393369003327723,"score_spread":0.2076153000616321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311924632","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967398,0.00012044465,0.00019435433,0.00022062376,0.0013456343,0.0007757463,0.00039455667,0.00019332118,0.000015495667],"genre_scores_gemma":[0.9983163,0.00028464463,0.00045912454,0.00045969978,0.00015105918,0.00018878709,5.71933e-7,0.00011496159,0.000024872512],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9962239,0.00032201817,0.0005606349,0.0015570299,0.00066755846,0.0006688298],"domain_scores_gemma":[0.9982647,0.0002142683,0.0003651744,0.0007823443,0.00009920718,0.00027431035],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00046797274,0.0005624512,0.0006006461,0.0003148838,0.00031511948,0.00030321963,0.00046478788,0.0002495741,0.00014802911],"category_scores_gemma":[0.00047802928,0.00054481806,0.00008456836,0.0006244853,0.00036353842,0.00018607911,0.0007889921,0.0016328868,0.000018965626],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032825905,0.00013758002,0.03638655,0.00015491286,0.000020139296,0.0005412217,0.00001734241,0.00014401013,0.9607825,0.0013975024,0.00008555767,0.0000043819227],"study_design_scores_gemma":[0.0017985856,0.000585442,0.83736545,0.0002916535,0.00008074676,7.434616e-7,0.000011080758,0.0054638716,0.15018967,0.000035350622,0.0026523548,0.0015250354],"about_ca_topic_score_codex":0.000097382865,"about_ca_topic_score_gemma":0.00004630165,"teacher_disagreement_score":0.8105929,"about_ca_system_score_codex":0.00031522562,"about_ca_system_score_gemma":0.00044512257,"threshold_uncertainty_score":0.9997003},"labels":[],"label_agreement":null},{"id":"W4311981839","doi":"10.1016/j.nicl.2022.103277","title":"Spectral slowing in chronic stroke reflects abnormalities in both periodic and aperiodic neural dynamics","year":2022,"lang":"en","type":"article","venue":"NeuroImage Clinical","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Baycrest Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Heart and Stroke Foundation of Canada","keywords":"Magnetoencephalography; Aperiodic graph; Neuroscience; Stroke (engine); Rhythm; Frequency domain; Psychology; Electroencephalography; Dysfunctional family; Audiology; Physics; Medicine; Mathematics; Internal medicine","score_opus":0.0524746687984663,"score_gpt":0.32969002987377455,"score_spread":0.27721536107530825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311981839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960231,0.00008442962,0.000011488834,0.0012709129,0.0011679269,0.00033461888,0.00005122478,0.00008403033,0.0009722678],"genre_scores_gemma":[0.99657416,0.00014856331,0.000030932966,0.0024252578,0.00014932804,0.0000396097,0.00001028085,0.00003994097,0.00058189617],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9962844,0.0009279065,0.00079087855,0.00096356834,0.0004077021,0.0006255387],"domain_scores_gemma":[0.9985565,0.00080914097,0.00013818954,0.0003611484,0.000008406682,0.0001265965],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007792355,0.00024710843,0.00040969194,0.00027459668,0.00032708282,0.0001603639,0.00035204864,0.00007693018,0.000110975736],"category_scores_gemma":[0.0007454514,0.00026536206,0.00014345195,0.00049927464,0.00033709497,0.00034563392,0.0004652052,0.0016473188,0.0000073241126],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022350335,0.0017624752,0.47972608,0.00029229495,0.000016610424,0.012767168,0.001581194,0.015354953,0.4194031,0.011206349,0.00044260462,0.055212144],"study_design_scores_gemma":[0.0031457527,0.0021747036,0.44557387,0.000022190978,0.000012456237,0.00045444633,0.0002692271,0.54544383,0.0003564813,0.00051410944,0.0015007469,0.0005321582],"about_ca_topic_score_codex":0.00008911325,"about_ca_topic_score_gemma":0.00049778295,"teacher_disagreement_score":0.5300889,"about_ca_system_score_codex":0.00036242927,"about_ca_system_score_gemma":0.00016255309,"threshold_uncertainty_score":0.99997985},"labels":[],"label_agreement":null},{"id":"W4312019927","doi":"10.1038/s41593-022-01220-4","title":"Neural cognitive signals during spontaneous movements in the macaque","year":2022,"lang":"en","type":"article","venue":"Nature Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute on Deafness and Other Communication Disorders; Canadian Institutes of Health Research; Government of Canada","keywords":"Neuroscience; Cognition; Psychology; Neurophysiology; Macaque; Prefrontal cortex","score_opus":0.016194136023705324,"score_gpt":0.26319960859246605,"score_spread":0.24700547256876074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312019927","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955909,0.00002043663,0.000008653151,0.0011120173,0.001411076,0.00048816527,0.000056649365,0.00005365724,0.0012584015],"genre_scores_gemma":[0.9700623,0.000010209733,0.000001543401,0.029173302,0.000051432176,0.00007744876,0.0000021878302,0.000014294273,0.00060725934],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9971119,0.00047388897,0.00020347553,0.00073309266,0.0010196025,0.00045799458],"domain_scores_gemma":[0.99913836,0.00044778752,0.0001071969,0.00023378745,0.000018668281,0.000054196422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028386235,0.00017172736,0.00011959184,0.00017321297,0.0008969946,0.00012970588,0.00090833055,0.000051615894,0.00006373875],"category_scores_gemma":[0.0008753944,0.00013154709,0.00006358114,0.0014374543,0.00014180454,0.00024052584,0.0003262445,0.0015229521,0.0000060042603],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011258678,0.00014209861,0.00058021926,0.000005577179,2.4733862e-7,0.0034990604,0.00027262338,0.0022767237,0.99197227,0.0005106991,0.000060195813,0.00056771305],"study_design_scores_gemma":[0.0050871396,0.0030392786,0.2916586,0.00007230922,0.000026826712,0.030415129,0.002796681,0.16403675,0.48344004,0.005466453,0.011650955,0.002309838],"about_ca_topic_score_codex":0.000011071667,"about_ca_topic_score_gemma":0.000010141358,"teacher_disagreement_score":0.5085322,"about_ca_system_score_codex":0.00006911696,"about_ca_system_score_gemma":0.00003213086,"threshold_uncertainty_score":0.6899048},"labels":[],"label_agreement":null},{"id":"W4312045144","doi":"10.1152/jn.00357.2022","title":"Pain-related gamma band activity is dependent on the features of nociceptive stimuli: a comparison of laser and contact heat","year":2022,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"International Collaboration On Repair Discoveries; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada; Craig H. Neilsen Foundation","keywords":"Neuroscience; Nociception; Stimulation; Electroencephalography; Laser; Psychology; Noxious stimulus; Perception; Audiology; Chemistry; Physics; Optics; Medicine","score_opus":0.03408316881234762,"score_gpt":0.28222248741176836,"score_spread":0.24813931859942073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312045144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99786115,0.000014465761,0.000011789388,0.0014873324,0.00036944586,0.00012769496,0.000029495659,0.000003331814,0.00009532677],"genre_scores_gemma":[0.9985517,0.000040783758,0.0000028506622,0.001302221,0.000026662656,0.0000018893896,3.6214584e-7,0.000009384157,0.0000641403],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99808365,0.001022086,0.0003095225,0.00018019993,0.00027782295,0.00012670898],"domain_scores_gemma":[0.99778926,0.0014927837,0.0004765809,0.00013818024,0.00006329773,0.000039899653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015836192,0.000111532005,0.00034753777,0.00009104112,0.00014893171,0.000008016455,0.000194728,0.00003497742,0.0000800689],"category_scores_gemma":[0.0003033967,0.00007140133,0.000112623275,0.00015798846,0.000118721684,0.000055995213,0.00008852316,0.0006026999,6.7359997e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013418713,0.00024668593,0.00018127532,0.0000100355755,0.000020308267,0.000030873696,0.00026477315,0.0059057716,0.9906701,0.000105906714,0.0003571289,0.0008653143],"study_design_scores_gemma":[0.0019215066,0.019569067,0.24263035,0.0000364717,0.0000773878,0.00027683793,0.00038003168,0.01424294,0.7191771,0.000987208,0.00049528247,0.00020580165],"about_ca_topic_score_codex":0.000016012782,"about_ca_topic_score_gemma":0.0000012556903,"teacher_disagreement_score":0.27149293,"about_ca_system_score_codex":0.000023491351,"about_ca_system_score_gemma":0.000027205362,"threshold_uncertainty_score":0.2911662},"labels":[],"label_agreement":null},{"id":"W4312072242","doi":"10.21203/rs.3.rs-2356429/v1","title":"Noradrenergic modulation of whole brain dynamics mediates perceptual switches","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Modulation (music); Dynamics (music); Perception; Neuroscience; Psychology; Cognitive psychology; Cognitive science; Communication; Computer science; Physics; Acoustics","score_opus":0.08533095683978048,"score_gpt":0.36891894638572575,"score_spread":0.2835879895459453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312072242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924269,0.000060449107,0.00024137757,0.0037405284,0.00066477316,0.00078661455,0.00071224885,0.00009612167,0.0012709863],"genre_scores_gemma":[0.9961585,0.00011808746,0.000048030008,0.000084123814,0.00019584075,0.00016255236,0.00079266704,0.00006118472,0.0023790433],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9949787,0.00093611446,0.00045009397,0.0009697198,0.002092969,0.00057240116],"domain_scores_gemma":[0.99729663,0.0012992568,0.00021220016,0.0007839965,0.0002606676,0.0001472582],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013992973,0.00026766816,0.00037188572,0.0006824218,0.00040681302,0.00013720997,0.0008234151,0.0002537908,0.00051756704],"category_scores_gemma":[0.0021991623,0.00026039037,0.00021702383,0.0008646044,0.00032174215,0.00014159238,0.0021413716,0.0018442044,0.0000371691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002462831,0.0006665739,0.009270669,0.0017149496,0.000033446566,0.00008003285,0.0019085866,0.11299066,0.8293867,0.0142984195,0.0046905633,0.024713108],"study_design_scores_gemma":[0.00071764505,0.0010203472,0.050104145,0.0003103525,0.0000185595,0.000014299517,0.0025132732,0.89025456,0.017170722,0.033330757,0.0037250656,0.0008202687],"about_ca_topic_score_codex":0.0003665923,"about_ca_topic_score_gemma":0.00028539132,"teacher_disagreement_score":0.812216,"about_ca_system_score_codex":0.00050721125,"about_ca_system_score_gemma":0.0003089761,"threshold_uncertainty_score":0.99998486},"labels":[],"label_agreement":null},{"id":"W4312090003","doi":"10.1523/eneuro.0274-22.2022","title":"Decomposing Neural Representational Patterns of Discriminatory and Hedonic Information during Somatosensory Stimulation","year":2022,"lang":"en","type":"article","venue":"eNeuro","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; University of British Columbia","funders":"Canada Foundation for Innovation; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Somatosensory system; Stimulation; Neuroscience; Psychology; Cognitive psychology","score_opus":0.018240577148380108,"score_gpt":0.24523774381566488,"score_spread":0.22699716666728476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312090003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99912167,0.0000049970995,0.00009866354,0.00015442361,0.00032882937,0.000118195385,0.000029972054,0.000035101795,0.00010813783],"genre_scores_gemma":[0.9996123,0.0000051854377,0.0000156524,0.00026558526,0.000018093546,0.0000100927555,0.000016739728,0.000007402054,0.000048954484],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991659,0.000115622934,0.00020222353,0.00015580031,0.0002584913,0.00010195565],"domain_scores_gemma":[0.9995822,0.00014065308,0.00012940419,0.00010609097,0.000013907128,0.000027768114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000058168527,0.000067572306,0.00006910682,0.00011504128,0.00026831366,0.00002944612,0.00006866157,0.000010941794,0.000038245882],"category_scores_gemma":[0.0000880347,0.00007253237,0.000029225406,0.00009695372,0.00002358463,0.00046271362,0.00013482608,0.00011071306,0.0000012323409],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000091243004,0.00004426899,0.04144926,0.0000671026,0.0000020530047,0.000013040305,0.00050254475,0.050098564,0.90332264,0.0017790816,0.000013561806,0.002616659],"study_design_scores_gemma":[0.0006913969,0.00011927231,0.72074515,0.000007656494,0.000009504559,0.00017415635,0.00018733853,0.15887672,0.118436165,0.00046377696,0.00013291114,0.00015597254],"about_ca_topic_score_codex":0.000012609777,"about_ca_topic_score_gemma":9.867512e-7,"teacher_disagreement_score":0.7848865,"about_ca_system_score_codex":0.000025257457,"about_ca_system_score_gemma":0.000009221989,"threshold_uncertainty_score":0.29577842},"labels":[],"label_agreement":null},{"id":"W4312129462","doi":"10.1038/s42003-022-04297-6","title":"Beyond noise to function: reframing the global brain activity and its dynamic topography","year":2022,"lang":"en","type":"review","venue":"Communications Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre","funders":"Canadian Institutes of Health Research; Horizon 2020 Framework Programme; Shenzhen-Hong Kong Institute of Brain Science; Shenzhen University; Hangzhou Normal University; National Natural Science Foundation of China; European Commission","keywords":"Cognitive reframing; Noise (video); SIGNAL (programming language); Neuroscience; Brain activity and meditation; Brain function; Function (biology); Arousal; Psychology; Computer science; Cognitive science; Cognitive psychology; Electroencephalography; Artificial intelligence; Biology; Social psychology","score_opus":0.0876849697353725,"score_gpt":0.3745867637057994,"score_spread":0.2869017939704269,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312129462","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00035188752,0.9879078,0.00016957693,0.0060574356,0.0008176559,0.001147906,0.0004202808,0.00010511905,0.0030223073],"genre_scores_gemma":[0.005243964,0.992011,0.000052087336,0.0017469838,0.000036400936,0.0004807078,0.00015024272,0.000022168628,0.00025641857],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971447,0.0016096059,0.0003144929,0.0005700987,0.00009719689,0.00026393353],"domain_scores_gemma":[0.99567103,0.002097296,0.0002570106,0.0018703304,0.000024192086,0.00008011202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038920628,0.00027979325,0.00051924976,0.00016111216,0.0011981569,0.00006705489,0.0016106477,0.00018176112,0.00006349468],"category_scores_gemma":[0.0006034003,0.00020301063,0.0002151669,0.0013133886,0.0002647792,0.00007474069,0.0020333952,0.0007228007,0.000037737107],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007788125,0.000048772083,0.0000042143106,0.00015392703,0.000021020878,6.559519e-7,0.000018531104,7.8618774e-7,0.0002678973,0.037175383,0.00015886224,0.96214217],"study_design_scores_gemma":[0.00005312294,0.00014080318,0.00003664321,0.000074438394,0.00010029555,0.00006928931,0.00001250833,0.0003304041,8.848136e-7,0.0025241566,0.9964525,0.0002049314],"about_ca_topic_score_codex":0.000017570592,"about_ca_topic_score_gemma":0.000109621484,"teacher_disagreement_score":0.99629366,"about_ca_system_score_codex":0.00016748163,"about_ca_system_score_gemma":0.000084824904,"threshold_uncertainty_score":0.9215375},"labels":[],"label_agreement":null},{"id":"W4312258934","doi":"10.1109/iscas48785.2022.9937512","title":"pyNeurode: a real-time neural signal processing framework","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Discovery Centre","funders":"Simons Initiative for the Developing Brain","keywords":"Spike sorting; Computer science; Python (programming language); Spike (software development); Graphical user interface; Decoding methods; Sorting; Brain–computer interface; Software; Process (computing); Computer hardware; Algorithm","score_opus":0.02894183438913472,"score_gpt":0.2654860865199743,"score_spread":0.23654425213083957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312258934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9737997,0.000051238854,0.0003309261,0.0022297113,0.0058824923,0.0005932077,0.00027356652,0.00022009686,0.01661908],"genre_scores_gemma":[0.99196523,0.000043323183,0.0000030846272,0.0011592525,0.00063887885,0.00016699098,0.000023139835,0.00005168492,0.005948424],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967911,0.00034744717,0.0004746722,0.0008486743,0.00117982,0.00035828532],"domain_scores_gemma":[0.99889445,0.00036906832,0.00029969178,0.00023239173,0.00007045503,0.00013395176],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00039462218,0.00026980534,0.00027322036,0.00018950617,0.0007661704,0.00042007153,0.0004938273,0.00007229787,0.00038135],"category_scores_gemma":[0.000066475026,0.0002565793,0.00011019389,0.000347003,0.000065448316,0.00026657773,0.0001631652,0.00054979423,0.000056469285],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009315667,0.0002176985,0.0004727744,0.000050924285,0.000019497755,0.00021910966,0.00041663044,0.015974242,0.96347195,0.010616828,0.0018322578,0.0066149216],"study_design_scores_gemma":[0.0009716118,0.0010094846,0.0011159003,0.0001447725,0.00003620327,0.0016691814,0.00026844215,0.96479493,0.005555758,0.00081471767,0.022737043,0.000881935],"about_ca_topic_score_codex":0.000058386242,"about_ca_topic_score_gemma":0.0000013146118,"teacher_disagreement_score":0.9579162,"about_ca_system_score_codex":0.00020279664,"about_ca_system_score_gemma":0.000039345116,"threshold_uncertainty_score":0.9999886},"labels":[],"label_agreement":null},{"id":"W4312347854","doi":"10.1007/978-3-031-03945-4_31","title":"Memory Consolidation: Neural Data Analysis and Mathematical Modeling","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Memory consolidation; Computer science; Artificial neural network; Consolidation (business); Sleep (system call); Neuroscience; Hebbian theory; Artificial intelligence; Cognition; Cognitive science; Perception; Psychology","score_opus":0.10876098664399413,"score_gpt":0.2871238303174334,"score_spread":0.17836284367343924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312347854","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008580541,0.000048429916,0.012420987,0.0008577921,0.00022953379,0.0003213442,0.00038950887,0.00014784366,0.9847265],"genre_scores_gemma":[0.070455335,0.00021073816,0.00051127566,0.0016111345,0.00014609122,0.000009879696,0.00068770006,0.000065740554,0.92630213],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983492,0.000030584626,0.00030185896,0.00080334675,0.0003751332,0.00013987589],"domain_scores_gemma":[0.99873304,0.00022614593,0.00010838788,0.0008407704,0.0000181507,0.00007351813],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017322523,0.00020684963,0.00032580303,0.00023576345,0.00019907358,0.00010505549,0.00038038308,0.000083403116,0.01539082],"category_scores_gemma":[0.0001037189,0.00018137968,0.00009098016,0.00009495215,0.00007623008,0.00022375818,0.0008033037,0.00032551945,0.000072820716],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006660391,0.000054953096,0.000002869569,0.000113130234,0.00028259415,0.00015498814,0.000044515626,0.009518244,0.0017528614,0.96735525,0.001240539,0.019413423],"study_design_scores_gemma":[0.000077250996,0.000033223936,4.37298e-7,0.000004395248,0.00041059832,0.00004886217,0.000005131705,0.9763918,0.000032267646,0.01667157,0.006110254,0.00021420253],"about_ca_topic_score_codex":0.000008163041,"about_ca_topic_score_gemma":0.000010436595,"teacher_disagreement_score":0.9668736,"about_ca_system_score_codex":0.000021960946,"about_ca_system_score_gemma":0.000020452406,"threshold_uncertainty_score":0.9855092},"labels":[],"label_agreement":null},{"id":"W4312558863","doi":"10.1162/netn_e_00273","title":"Editorial: Focus feature on consciousness and cognition","year":2022,"lang":"en","type":"editorial","venue":"Network Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Simon Fraser University","funders":"","keywords":"Consciousness; Cognition; Cognitive science; Focus (optics); Neuroimaging; Feature (linguistics); Neuroscience; Cognitive neuroscience; Brain function; Psychology; Computer science; Cognitive psychology; Data science","score_opus":0.0128772455396066,"score_gpt":0.2495144010214745,"score_spread":0.23663715548186792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312558863","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003003783,0.000060677674,0.000027777898,0.00042959885,0.9958659,0.0005528282,0.00035918585,0.00024893112,0.002154744],"genre_scores_gemma":[0.003780941,0.00075391534,0.000008660566,0.0016001911,0.9907722,0.00011117934,0.00006160128,0.000087397544,0.0028239302],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9940347,0.00047157478,0.00031649013,0.0019748285,0.0023970183,0.00080535223],"domain_scores_gemma":[0.99602437,0.0026795776,0.0004056888,0.0005556261,0.00010831637,0.0002263925],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00057791633,0.00053878926,0.00045919922,0.00017051963,0.0014339363,0.00046597392,0.00080835616,0.00057687477,0.00003754543],"category_scores_gemma":[0.0041014384,0.000507701,0.000118411546,0.0010534702,0.00051301374,0.0002762753,0.0005375604,0.002613942,0.000017576385],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014028644,0.000052309402,0.0000028009042,0.00002055171,9.50552e-7,0.000054200154,0.000009852975,0.00042839398,0.0076653273,0.00033593609,0.9900485,0.0012408443],"study_design_scores_gemma":[0.000434957,0.0007282239,0.000014125237,0.000055350836,0.000030179895,0.000018381621,0.0000029486805,0.0010555626,0.0003020826,0.002012509,0.99484915,0.00049655355],"about_ca_topic_score_codex":0.000012419569,"about_ca_topic_score_gemma":0.000012599283,"teacher_disagreement_score":0.0073632444,"about_ca_system_score_codex":0.00010468105,"about_ca_system_score_gemma":0.00023450895,"threshold_uncertainty_score":0.99986607},"labels":[],"label_agreement":null},{"id":"W4312591075","doi":"10.7554/elife.76506.sa2","title":"Author response: Mesoscale cortex-wide neural dynamics predict self-initiated actions in mice several seconds prior to movement","year":2022,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; University of British Columbia","funders":"","keywords":"Mesoscale meteorology; Dynamics (music); Neuroscience; Movement (music); Cortex (anatomy); Psychology; Computer science; Physical medicine and rehabilitation; Geography; Medicine; Physics; Meteorology","score_opus":0.053673640850507444,"score_gpt":0.32511573687911244,"score_spread":0.271442096028605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312591075","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28008556,0.0007062512,0.000744185,0.615678,0.039853256,0.014431018,0.019889165,0.0027481122,0.025864413],"genre_scores_gemma":[0.024198376,0.0005363501,0.00033859536,0.09608041,0.0002144311,0.0011544462,0.0016197663,0.00022308234,0.87563455],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99358153,0.0012643536,0.001227006,0.0017311589,0.0012640835,0.00093185034],"domain_scores_gemma":[0.99679774,0.0013710969,0.00045300456,0.00084575993,0.00014875425,0.00038363854],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011934137,0.00076602504,0.00093698973,0.000754333,0.00048975775,0.00017400121,0.0009631667,0.00031630037,0.004761657],"category_scores_gemma":[0.0017024779,0.0007558273,0.00036478255,0.0017486123,0.000062302846,0.00030785426,0.0007583226,0.0018175466,0.000107767984],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080816564,0.00061429915,0.00007603129,0.0009169469,0.000050520535,0.0002691208,0.00013788867,0.001358071,0.010915326,0.00036185145,0.98187447,0.002617334],"study_design_scores_gemma":[0.0009256657,0.000989158,0.0038294985,0.00046651176,0.00017172821,0.00010150439,0.0000814519,0.13651542,0.0003938014,0.00010570764,0.8552138,0.0012057523],"about_ca_topic_score_codex":0.0003398333,"about_ca_topic_score_gemma":0.0019358012,"teacher_disagreement_score":0.8497701,"about_ca_system_score_codex":0.0017197044,"about_ca_system_score_gemma":0.0005517111,"threshold_uncertainty_score":0.99948925},"labels":[],"label_agreement":null},{"id":"W4312765827","doi":"10.7554/elife.77772.sa0","title":"Editor's evaluation: Deep learning-based feature extraction for prediction and interpretation of sharp-wave ripples in the rodent hippocampus","year":2022,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Hippocampus; Interpretation (philosophy); Artificial intelligence; Feature (linguistics); Extraction (chemistry); Rodent; Feature extraction; Pattern recognition (psychology); Computer science; Psychology; Neuroscience; Biology; Chemistry; Chromatography; Paleontology; Philosophy","score_opus":0.03858317559125417,"score_gpt":0.31759103051088233,"score_spread":0.27900785491962815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312765827","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023552535,0.073859364,0.09800815,0.39793605,0.31756064,0.06679596,0.0076333405,0.0010404324,0.013613527],"genre_scores_gemma":[0.8293096,0.020633806,0.0008722778,0.022472795,0.016290208,0.013069356,0.029029006,0.0003419429,0.06798101],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970219,0.0007444897,0.00042849997,0.0006023797,0.0010322231,0.00017046431],"domain_scores_gemma":[0.99789613,0.0010638583,0.0005384014,0.0002468476,0.0002260489,0.000028701677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017788283,0.00024059147,0.00031416863,0.00020899695,0.00021386755,0.000072814735,0.00017279197,0.00018315125,0.00035527983],"category_scores_gemma":[0.0019543278,0.00017899169,0.00015157742,0.00034258713,0.00005384986,0.00018698924,0.00004490879,0.0007230004,0.000001102151],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003917037,0.00027151767,0.000060135975,0.0033224905,0.000026715703,0.00000390607,0.0003492375,0.029497936,0.0027541467,0.00017273144,0.7561152,0.20703426],"study_design_scores_gemma":[0.000533171,0.0005112485,0.00057018554,0.000500888,0.00019998952,0.000025309035,0.00009337116,0.65074646,0.00016041816,0.00054239406,0.34594178,0.00017475786],"about_ca_topic_score_codex":0.00003234547,"about_ca_topic_score_gemma":0.0002412285,"teacher_disagreement_score":0.80575705,"about_ca_system_score_codex":0.00019566162,"about_ca_system_score_gemma":0.00010748065,"threshold_uncertainty_score":0.7299069},"labels":[],"label_agreement":null},{"id":"W4313004647","doi":"10.7554/elife.76635.sa0","title":"Editor's evaluation: Putting perception into action with inverse optimal control for continuous psychophysics","year":2022,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Psychophysics; Perception; Action (physics); Inverse; Control (management); Computer science; Artificial intelligence; Mathematics; Psychology; Physics; Neuroscience; Geometry","score_opus":0.04889924464145553,"score_gpt":0.34012073032671697,"score_spread":0.29122148568526146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313004647","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011970671,0.0015824526,0.17326039,0.29218173,0.44531226,0.051042404,0.0029518388,0.0022379563,0.019460278],"genre_scores_gemma":[0.029310944,0.008457417,0.01691498,0.13133983,0.14999278,0.022448698,0.014382412,0.0011046596,0.62604827],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99644125,0.00034735526,0.00045698756,0.001047028,0.0013588652,0.00034850134],"domain_scores_gemma":[0.99796516,0.0003896107,0.0005859578,0.00043652146,0.00052877126,0.000093998024],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00095313654,0.0004203834,0.00056244043,0.00013585665,0.0005589318,0.00013932624,0.00029915446,0.00017580387,0.001835785],"category_scores_gemma":[0.00060873316,0.00035279948,0.00026361266,0.0003635472,0.00007953013,0.0003606092,0.00006150729,0.00060307933,0.00003992935],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016761887,0.000083497274,0.0000015971156,0.0006983849,0.000021876409,0.0000015137899,0.00003122825,0.0015597349,0.007596372,0.000060294064,0.9302237,0.059554197],"study_design_scores_gemma":[0.0019435977,0.0009664416,0.00000959875,0.00035378733,0.00051224476,0.000026129683,0.00009425492,0.09441355,0.00009813815,0.000424347,0.90066504,0.0004928608],"about_ca_topic_score_codex":0.00006486178,"about_ca_topic_score_gemma":0.000059616206,"teacher_disagreement_score":0.606588,"about_ca_system_score_codex":0.00042580607,"about_ca_system_score_gemma":0.00024940915,"threshold_uncertainty_score":0.9998924},"labels":[],"label_agreement":null},{"id":"W4313068060","doi":"10.3934/mbe.2023176","title":"Higuchi fractal dimension is a unique indicator of working memory content represented in spiking activity of visual neurons in extrastriate cortex","year":2022,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Eye Institute","keywords":"Extrastriate cortex; Neuroscience; Visual cortex; Fractal dimension; Dimension (graph theory); Content (measure theory); Psychology; Cortex (anatomy); Fractal; Mathematics; Mathematical analysis; Combinatorics","score_opus":0.04528642637097699,"score_gpt":0.26132888577300717,"score_spread":0.21604245940203018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313068060","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977565,0.0000070211836,0.001500767,0.00014038013,0.00020458459,0.00028787577,0.000007695394,0.00002942755,0.000065784036],"genre_scores_gemma":[0.99965566,0.0000044647395,0.00024389917,0.000044925197,0.000006849896,0.000021943939,5.5699536e-7,0.000010909602,0.00001081445],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99827635,0.00010325213,0.0004432867,0.00038855182,0.00050274807,0.0002858363],"domain_scores_gemma":[0.99907076,0.00049731054,0.0002003338,0.00016512601,0.000008703116,0.000057768317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005628911,0.00013380278,0.00029595153,0.0003894649,0.000062650906,0.000017346694,0.00025938268,0.00003635216,0.00003783589],"category_scores_gemma":[0.00056174013,0.00012321387,0.000066849854,0.0010476336,0.00010440675,0.00014398026,0.00027678852,0.00032945228,7.616864e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030824736,0.00026586192,0.0016003082,0.000037148853,0.0000011639529,0.00001992464,0.0003168455,0.002512701,0.9934349,0.0011108904,6.764074e-7,0.00066874357],"study_design_scores_gemma":[0.00032057884,0.0002093484,0.021499172,0.0001277654,0.000004379209,0.000017635994,0.00019624238,0.5101914,0.46703237,0.0002474801,0.0000070386504,0.00014659423],"about_ca_topic_score_codex":0.000040492956,"about_ca_topic_score_gemma":0.0000037222278,"teacher_disagreement_score":0.52640253,"about_ca_system_score_codex":0.000069625516,"about_ca_system_score_gemma":0.000032978754,"threshold_uncertainty_score":0.5024516},"labels":[],"label_agreement":null},{"id":"W4313280470","doi":"10.1002/hbm.26190","title":"Direct modulation index: A measure of phase amplitude coupling for neurophysiology data","year":2022,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Brain Institute; University of Toronto; University Health Network","funders":"Bundesministerium für Bildung und Forschung; Eberhard Karls Universität Tübingen","keywords":"Measure (data warehouse); Neurophysiology; Amplitude; Coupling (piping); Modulation (music); Phase (matter); Index (typography); Amplitude modulation; Physics; Modulation index; Neuroscience; Psychology; Frequency modulation; Computer science; Materials science; Optics; Data mining; Acoustics; Telecommunications; Quantum mechanics; Pulse-width modulation","score_opus":0.1374367435083191,"score_gpt":0.32927811852547456,"score_spread":0.19184137501715545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313280470","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97575665,0.000008222155,0.022485228,0.00036921297,0.00036019026,0.00052923185,0.000199732,0.00008164549,0.00020988284],"genre_scores_gemma":[0.9986814,9.320605e-7,0.00006339915,0.0007417951,0.00010282735,0.000056305107,0.00018012727,0.000024010384,0.00014916259],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998567,0.000119646465,0.00028382926,0.00056729885,0.00024582056,0.00021643117],"domain_scores_gemma":[0.9987653,0.00043266293,0.00021471675,0.000521064,0.00003380995,0.000032482832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004378281,0.0001148116,0.00019244716,0.00014293207,0.00070230936,0.00002873514,0.00046974127,0.000026056343,0.000043272732],"category_scores_gemma":[0.00056189,0.00012516275,0.000057859994,0.00026923246,0.0000557273,0.00015035238,0.00038938766,0.00015875821,9.66929e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006421885,0.00010570627,0.00007155514,0.000034670844,0.0000053281747,0.000002830172,0.000092023205,0.016497575,0.9794836,0.0024373885,0.00038051422,0.00082459353],"study_design_scores_gemma":[0.0016308745,0.00041944504,0.00763459,0.000018931278,0.000011387055,0.000009118443,0.000070775466,0.9750161,0.0023339726,0.003489875,0.009121805,0.00024310302],"about_ca_topic_score_codex":0.00001214761,"about_ca_topic_score_gemma":0.0000031948082,"teacher_disagreement_score":0.9771496,"about_ca_system_score_codex":0.000035693978,"about_ca_system_score_gemma":0.000023362609,"threshold_uncertainty_score":0.5401667},"labels":[],"label_agreement":null},{"id":"W4313281277","doi":"10.1002/hbm.26187","title":"Scale‐free dynamics of core‐periphery topography","year":2022,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Ottawa","funders":"","keywords":"Core (optical fiber); Resting state fMRI; Dynamics (music); Scale (ratio); Task (project management); Noise (video); Neuroscience; Psychology; Physics; Cartography; Computer science; Geography; Artificial intelligence; Optics; Acoustics","score_opus":0.041668335209284715,"score_gpt":0.25393092054218985,"score_spread":0.21226258533290515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313281277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.986971,0.000011105738,0.0008248091,0.0017059371,0.00054761005,0.00023971012,0.00007664781,0.00012334583,0.009499831],"genre_scores_gemma":[0.9954381,0.000002450864,0.00012774208,0.0020474028,0.00006325658,0.00003335354,0.000025529062,0.00002579924,0.0022363476],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984774,0.000137028,0.0003040993,0.00040394135,0.00040247597,0.0002750272],"domain_scores_gemma":[0.9990816,0.00019277344,0.00017891567,0.00046961827,0.000022512015,0.000054548233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031863706,0.00013939368,0.00018882309,0.00025323208,0.00076670456,0.00003443348,0.0005354282,0.000032265507,0.00046722105],"category_scores_gemma":[0.00015127596,0.00013618794,0.00015048473,0.00067117496,0.00015597905,0.00010415857,0.00045011466,0.00028050417,0.0000037779998],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016293376,0.000087602006,0.0022857632,0.00003753544,0.000005180404,0.000016861297,0.0003140609,0.00026457955,0.9442343,0.047203943,0.0031374253,0.0023964671],"study_design_scores_gemma":[0.0059525943,0.0025677674,0.20469964,0.00022572668,0.00007161344,0.000456104,0.0070826975,0.16935441,0.01576903,0.45186782,0.13872989,0.0032227011],"about_ca_topic_score_codex":0.000029028482,"about_ca_topic_score_gemma":0.000038413862,"teacher_disagreement_score":0.92846525,"about_ca_system_score_codex":0.0000848404,"about_ca_system_score_gemma":0.000017532353,"threshold_uncertainty_score":0.5896949},"labels":[],"label_agreement":null},{"id":"W4313339680","doi":"10.1515/revneuro-2022-0120","title":"Anticipatory attractors, functional neurochemistry and “Throw &amp; Catch” mechanisms as illustrations of constructivism","year":2022,"lang":"en","type":"review","venue":"Reviews in the Neurosciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Neurochemistry; Autopoiesis; Enactivism; Neuroscience; Neurophenomenology; Cognitive science; Constructivism (international relations); Psychology; Computer science; Artificial intelligence; Neurology","score_opus":0.23064952897070193,"score_gpt":0.3677288229439594,"score_spread":0.1370792939732575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313339680","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021790809,0.99025977,0.0000691295,0.000116184376,0.0044805217,0.0017565062,0.00010860689,0.000038682378,0.0009915464],"genre_scores_gemma":[0.0011785396,0.99753,0.00003418002,0.00051346404,0.000068925794,0.00021749054,0.000015282976,0.000024360574,0.0004177983],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9955559,0.0014035236,0.0009778404,0.0009860195,0.00073204003,0.00034468097],"domain_scores_gemma":[0.99678755,0.0015986573,0.0009341988,0.00058588566,0.00001529277,0.00007841648],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012306744,0.00043184726,0.0011362657,0.00021034466,0.00047412267,0.00011645148,0.0009140567,0.000118009266,0.00017925969],"category_scores_gemma":[0.0021456338,0.00027896184,0.00033763435,0.0013610679,0.0008407606,0.00022514082,0.00023464218,0.0008533179,0.000013984466],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001444517,0.00065381906,0.000029682573,0.015891915,0.000011866262,0.00009976453,0.00030907517,0.00002070393,0.038902137,0.027826497,0.0011888277,0.9150513],"study_design_scores_gemma":[0.0000589392,0.00010576733,0.000018916367,0.0007686165,0.00010832352,0.0009161718,0.000029019979,0.000023111155,0.00007197561,0.0010695537,0.99655,0.00027957794],"about_ca_topic_score_codex":0.000013407962,"about_ca_topic_score_gemma":0.0000069526404,"teacher_disagreement_score":0.9953612,"about_ca_system_score_codex":0.00004034963,"about_ca_system_score_gemma":0.00026775853,"threshold_uncertainty_score":0.99996626},"labels":[],"label_agreement":null},{"id":"W4313410521","doi":"10.1016/j.cortex.2022.12.003","title":"Feasibility of unconscious instrumental conditioning: A registered replication","year":2022,"lang":"en","type":"article","venue":"Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Dr Mortimer and Theresa Sackler Foundation; University of Sussex","keywords":"Psychology; Unconscious mind; Cognitive psychology; Replicate; Conditioning","score_opus":0.06971151732646298,"score_gpt":0.3036604059732558,"score_spread":0.2339488886467928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313410521","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996113,0.000004634172,0.00005582243,0.00030632335,0.0003369282,0.00024214486,0.00007445816,0.00004350158,0.0028232008],"genre_scores_gemma":[0.9986311,0.0000020009647,0.000017646225,0.0004617424,0.000011880671,0.000032016742,0.000029303113,0.0000059661897,0.0008083001],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990934,0.00008550169,0.00017861118,0.00036070423,0.00019417926,0.00008759251],"domain_scores_gemma":[0.99928,0.000055111508,0.00016918307,0.00045050625,0.000017320792,0.000027897348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014738837,0.00005232558,0.00007877917,0.000041166022,0.00021075633,0.000011828485,0.00013834467,0.000012644939,0.00023381782],"category_scores_gemma":[0.00021130597,0.000055263168,0.000043484724,0.0002091135,0.000083599356,0.00006843637,0.00010253428,0.00009435218,0.000006063792],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006725371,0.00011901041,0.008623837,0.000009028258,0.0000014001813,0.0000049890773,0.000062800165,0.000029452423,0.98271614,0.0049495404,0.000680428,0.002736146],"study_design_scores_gemma":[0.00455184,0.0023837187,0.46981102,0.00003031799,0.000054469925,0.0008107945,0.0008756567,0.027484557,0.4323913,0.041851945,0.018906958,0.0008474156],"about_ca_topic_score_codex":0.000015837075,"about_ca_topic_score_gemma":0.0000056085096,"teacher_disagreement_score":0.5503248,"about_ca_system_score_codex":0.00009322605,"about_ca_system_score_gemma":0.00003250147,"threshold_uncertainty_score":0.2560141},"labels":[],"label_agreement":null},{"id":"W4313527530","doi":"10.1101/2023.01.01.522410","title":"The predictive power of intrinsic timescale during the perceptual decision-making process across the mouse brain","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Group for Research in Decision Analysis","funders":"","keywords":"Neuroscience; Perception; Stimulus (psychology); Population; Psychology; Context (archaeology); Hierarchy; Biology; Cognitive psychology","score_opus":0.013871328966760783,"score_gpt":0.25497696020447247,"score_spread":0.2411056312377117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313527530","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99445546,0.0000987037,0.0004381174,0.0012079387,0.001742431,0.0012908026,0.0004180417,0.00034081348,0.000007723701],"genre_scores_gemma":[0.99865365,0.00013191784,0.000033855787,0.0003974771,0.0003044861,0.00026551087,9.938975e-8,0.00014462695,0.00006840054],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9960211,0.0003947175,0.00069928146,0.0011473313,0.0009738203,0.0007637342],"domain_scores_gemma":[0.9945135,0.0024768948,0.00067220983,0.0018263588,0.00040489002,0.00010614679],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0014542605,0.00051952485,0.00040480096,0.00010595327,0.0016346822,0.00057319156,0.001983731,0.0003110941,0.000019583958],"category_scores_gemma":[0.0042802007,0.0002897979,0.0002515988,0.0010066581,0.0008352524,0.00020282021,0.0016541474,0.001439126,0.00005800065],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004722773,0.00015790688,0.002520808,0.00023640253,0.00011840673,0.000057071153,0.00074974785,0.0036215947,0.9903352,0.000814633,0.0008708589,0.000045054137],"study_design_scores_gemma":[0.0011731515,0.00030912293,0.49077225,0.0012701437,0.00012927523,6.1541084e-7,0.0006627832,0.015165335,0.48611146,0.00021084791,0.0024826883,0.0017123348],"about_ca_topic_score_codex":0.000015458381,"about_ca_topic_score_gemma":0.000012391206,"teacher_disagreement_score":0.50422376,"about_ca_system_score_codex":0.00019739075,"about_ca_system_score_gemma":0.00028090997,"threshold_uncertainty_score":0.9999554},"labels":[],"label_agreement":null},{"id":"W4313533900","doi":"10.1101/2023.01.03.521866","title":"Decoding the relative contributions of extrinsic and intrinsic mechanisms in mediating heterogeneous spiking activities of sensory neurons in vivo using computational modeling","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada First Research Excellence Fund","keywords":"Neuroscience; In vivo; Conductance; Biological system; Sensory system; Decoding methods; Electric fish; Computer science; Biophysics; Biology; Chemistry; Physics; Fish <Actinopterygii>; Algorithm","score_opus":0.04437195039433042,"score_gpt":0.25829779073051307,"score_spread":0.21392584033618264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313533900","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96774143,0.00008104662,0.030672757,0.00008915384,0.00051197497,0.0005524005,0.00028586248,0.00006451799,8.828672e-7],"genre_scores_gemma":[0.99801105,0.00010369668,0.0016982284,0.000047537254,0.00004955306,0.00003357058,1.8417482e-7,0.000055714983,4.3331374e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975031,0.00037593374,0.00074757007,0.000656941,0.0003650209,0.00035143597],"domain_scores_gemma":[0.99775094,0.0011165278,0.00060531695,0.0003185646,0.00014844157,0.00006021985],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00070550834,0.00030029335,0.00049947,0.00058504473,0.00017430112,0.00006107993,0.00022871072,0.00020703564,0.0000018207296],"category_scores_gemma":[0.0012178766,0.00029833478,0.00009296875,0.0007032892,0.00016122084,0.00020455863,0.00048462694,0.0007212131,3.7097894e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018719407,0.000029914696,0.00078599167,0.00010536558,0.000010859789,0.000026876733,0.000045839268,0.30089882,0.6944704,0.0036047536,8.946599e-8,0.0000023637815],"study_design_scores_gemma":[0.00027900634,0.000023094122,0.0016888034,0.00037701093,0.000024036308,1.5186475e-7,0.000017382965,0.6767321,0.32028046,0.00038527275,2.908231e-7,0.00019239684],"about_ca_topic_score_codex":0.00013687409,"about_ca_topic_score_gemma":0.000020102389,"teacher_disagreement_score":0.3758333,"about_ca_system_score_codex":0.00022837995,"about_ca_system_score_gemma":0.00024238064,"threshold_uncertainty_score":0.9999469},"labels":[],"label_agreement":null},{"id":"W4313559906","doi":"10.3390/dynamics3010001","title":"Non-Equilibrium ϕ4 Theory in a Hierarchy: Towards Manipulating Holograms in Quantum Brain Dynamics","year":2023,"lang":"en","type":"article","venue":"Dynamics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Japan Society for the Promotion of Science; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Hierarchy; Statistical physics; Quantum field theory; Computer science; Quantum; Degrees of freedom (physics and chemistry); Physics; Classical mechanics; Quantum mechanics","score_opus":0.03263563419453445,"score_gpt":0.2844407789286159,"score_spread":0.25180514473408144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313559906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99217963,0.0000048659504,0.0014428034,0.0022913974,0.00092932576,0.00047740186,0.00006918838,0.00029891005,0.002306495],"genre_scores_gemma":[0.99733883,0.000025429075,0.00008258168,0.00091279193,0.00005657499,0.000047922276,0.00018093773,0.000075638935,0.0012792987],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971201,0.00027018116,0.0005585119,0.0008082386,0.00038152747,0.0008614799],"domain_scores_gemma":[0.9986138,0.0006072499,0.00018685112,0.00046199284,0.000024885272,0.00010525012],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00106227,0.000314591,0.0003615005,0.0007297742,0.00010180605,0.0001190625,0.0005019099,0.00021759862,0.000014748486],"category_scores_gemma":[0.0010469377,0.0003196989,0.00012222612,0.0024893517,0.00016658913,0.00031682005,0.0003621449,0.0006726903,0.00008061873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005269126,0.0006550071,0.18135247,0.00035765226,0.000019436011,0.003006104,0.0016562277,0.07548792,0.08782526,0.52589864,0.00030429743,0.122910075],"study_design_scores_gemma":[0.0005564778,0.00011361354,0.069585204,0.000055676297,0.000003197769,0.000028744678,0.0002671098,0.9009517,0.00010885896,0.027979277,0.000029097087,0.0003210341],"about_ca_topic_score_codex":0.00024722723,"about_ca_topic_score_gemma":0.0017676625,"teacher_disagreement_score":0.8254638,"about_ca_system_score_codex":0.00048020144,"about_ca_system_score_gemma":0.000071870636,"threshold_uncertainty_score":0.9999255},"labels":[],"label_agreement":null},{"id":"W4313643875","doi":"10.1523/jneurosci.0802-22.2022","title":"Temporal Dynamics Underlying Prelimbic Prefrontal Cortical Regulation of Action Selection and Outcome Evaluation during Risk/Reward Decision-Making","year":2023,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Action selection; Context (archaeology); Psychology; Prefrontal cortex; Neuroscience; Action (physics); Infralimbic cortex; Cognitive psychology; Cognition; Biology; Perception","score_opus":0.1042163453403232,"score_gpt":0.3707801964761672,"score_spread":0.266563851135844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313643875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98926306,0.0000063247912,0.008958532,0.00009581296,0.0014020987,0.0002121234,0.0000048746806,0.000036918573,0.000020259395],"genre_scores_gemma":[0.99951774,0.000050942843,0.0002944153,0.000031238505,0.000054516906,0.0000024017456,6.887274e-7,0.000014234587,0.000033836885],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9974174,0.00028199345,0.0006856361,0.00033384003,0.0010557711,0.00022539686],"domain_scores_gemma":[0.9981977,0.00048486536,0.0009207856,0.000120562254,0.00019561863,0.00008048382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011290442,0.00012841706,0.00020299443,0.00045415142,0.00041726092,0.000103102844,0.00016949988,0.000065964916,0.0000057738766],"category_scores_gemma":[0.004528186,0.00011277052,0.0000873132,0.0010262004,0.00011171651,0.0009608724,0.00006314387,0.00036402355,0.0000017631492],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019552301,0.00004130601,0.037459586,0.000024514751,0.0000014293825,0.0000073132414,0.000077754834,0.024033383,0.9246729,0.000091655806,0.0000059670883,0.0133886635],"study_design_scores_gemma":[0.0002554679,0.00025218175,0.5208636,0.00004816162,0.00002107077,0.00022205444,0.000051523166,0.4732441,0.0038775767,0.0010983959,0.0000030679091,0.00006278128],"about_ca_topic_score_codex":0.0000059392987,"about_ca_topic_score_gemma":0.000031958793,"teacher_disagreement_score":0.9207953,"about_ca_system_score_codex":0.0002082573,"about_ca_system_score_gemma":0.00007545849,"threshold_uncertainty_score":0.5420988},"labels":[],"label_agreement":null},{"id":"W4315645269","doi":"10.1103/physrevlett.130.028401","title":"Rhythms from Two Competing Periodic Sources Embedded in an Excitable Medium","year":2023,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; McGill University","funders":"Canadian Institutes of Health Research; Compute Canada; Natural Sciences and Engineering Research Council of Canada; Heart and Stroke Foundation of Canada","keywords":"Excitable medium; Cellular automaton; Optogenetics; Physics; Stimulus (psychology); Periodic boundary conditions; Statistical physics; Rhythm; Traveling wave; Boundary value problem; Classical mechanics; Neuroscience; Computer science; Mechanics; Mathematical analysis; Biology; Quantum mechanics; Mathematics; Acoustics; Artificial intelligence","score_opus":0.03831891103276464,"score_gpt":0.3139328301183668,"score_spread":0.2756139190856022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315645269","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9904858,0.0002431676,0.00002131448,0.008540714,0.00024955202,0.000231877,0.0000108827935,0.00013995817,0.00007672275],"genre_scores_gemma":[0.9736525,0.00076972507,0.000025356465,0.025064891,0.0003854824,0.000035388824,0.000028095978,0.000022395985,0.000016169923],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984108,0.00023729855,0.00022516245,0.00047653422,0.0003080361,0.000342125],"domain_scores_gemma":[0.99914855,0.00040645243,0.000086409535,0.00026004898,0.00000934154,0.000089223424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018557547,0.00015721886,0.00032513234,0.000054866636,0.000105659776,0.00007182648,0.00022324621,0.000007653717,0.0000452664],"category_scores_gemma":[0.00023827533,0.000130987,0.000101604004,0.00064471405,0.00008093104,0.00024911397,0.00008493126,0.00022506778,0.00037899218],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000069029475,0.00003978603,0.00070818374,0.00015480458,0.0000018885758,0.00006452504,0.00031929166,0.000711728,0.9942104,0.00016909197,0.00051890605,0.003094483],"study_design_scores_gemma":[0.0030261239,0.00041267584,0.05732413,0.0068818014,0.00015498327,0.000032901757,0.0003624162,0.8382802,0.04952671,0.00522612,0.036186107,0.0025858108],"about_ca_topic_score_codex":0.000055000743,"about_ca_topic_score_gemma":0.0000138048845,"teacher_disagreement_score":0.9446837,"about_ca_system_score_codex":0.000027639684,"about_ca_system_score_gemma":0.000010452306,"threshold_uncertainty_score":0.53414947},"labels":[],"label_agreement":null},{"id":"W4315706211","doi":"10.1101/2023.01.11.523605","title":"Online abstraction during statistical learning revealed by neural entrainment from intracranial recordings","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Advanced Research; Yale University; National Science Foundation","keywords":"Entrainment (biomusicology); Abstraction; Statistical learning; Perception; Concept learning; Computer science; Artificial intelligence; Cognition; Neural correlates of consciousness; Psychology; Cognitive psychology; Machine learning; Neuroscience; Rhythm","score_opus":0.0197453017999294,"score_gpt":0.2342586771890248,"score_spread":0.2145133753890954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315706211","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99169326,0.000011925087,0.003185083,0.00050155167,0.002235076,0.0005223759,0.00090646866,0.0009422967,0.000001958435],"genre_scores_gemma":[0.99731565,0.00012677647,0.0014537491,0.00025122246,0.0005987046,0.00009035759,0.0000058263267,0.00014250894,0.000015212949],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99620265,0.00027316483,0.00070032914,0.0015305853,0.00060689053,0.000686402],"domain_scores_gemma":[0.99815047,0.00044258585,0.00045456187,0.00053566205,0.00010850833,0.00030823925],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033945017,0.0005112701,0.00046127746,0.0001784617,0.00042373475,0.0003362418,0.00041090065,0.00031275602,0.00012343221],"category_scores_gemma":[0.0012971768,0.0005571498,0.00012549123,0.0003746705,0.00011326842,0.00027427232,0.0003879579,0.0015549241,0.00013556566],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000111279274,0.00016951721,0.005964872,0.000062909014,0.000021197335,0.00019070804,0.0000065833983,0.0006195693,0.9926795,0.000081978396,0.00007525736,0.000016627217],"study_design_scores_gemma":[0.0010253089,0.00013172512,0.5350934,0.00016695849,0.00007367826,1.7134388e-7,0.000008549809,0.044143476,0.41789427,0.0000257997,0.0004412473,0.0009954032],"about_ca_topic_score_codex":0.00019785929,"about_ca_topic_score_gemma":0.000005664751,"teacher_disagreement_score":0.57478523,"about_ca_system_score_codex":0.00036326805,"about_ca_system_score_gemma":0.00008017205,"threshold_uncertainty_score":0.99968797},"labels":[],"label_agreement":null},{"id":"W4315779641","doi":"10.1038/s41467-023-35824-6","title":"Distributed context-dependent choice information in mouse posterior cortex","year":2023,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"RIKEN Brain Science Institute; RIKEN; Japan Society for the Promotion of Science; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Computer science; Context (archaeology); Sensory system; Cognition; Neuroscience; Task (project management); Posterior parietal cortex; Inference; Visual cortex; Artificial intelligence; Machine learning; Cognitive psychology; Psychology; Biology","score_opus":0.02952675195824703,"score_gpt":0.2982051454292363,"score_spread":0.26867839347098926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315779641","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98736674,0.00011600153,0.000059445185,0.009449265,0.0004214987,0.0005099168,0.00057157234,0.00036418161,0.0011413636],"genre_scores_gemma":[0.996849,0.00022462504,0.000026080812,0.0019901479,0.000012305469,0.000054906737,0.00053278345,0.000008362325,0.00030176228],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99910694,0.00012249858,0.00025056856,0.00014102609,0.00020167611,0.00017727504],"domain_scores_gemma":[0.99833846,0.00048332094,0.00009415584,0.0009749667,0.00006389002,0.000045208824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016470863,0.00009332982,0.00010379791,0.00019277286,0.00022060328,0.000091865986,0.000728434,0.00014875039,0.000010667476],"category_scores_gemma":[0.0011420127,0.00008996537,0.00004607764,0.000834114,0.00006248979,0.0005285213,0.0003419477,0.00068668416,0.00023484945],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012747859,0.00050282886,0.01306339,0.00006233735,0.00002767895,0.000013342027,0.0011892742,0.0010017237,0.8219515,0.06371883,0.015605064,0.082736544],"study_design_scores_gemma":[0.0026708436,0.00017321794,0.3131536,0.000074783806,0.0000284889,0.00004909191,0.00083362166,0.13663119,0.02712582,0.0010022717,0.5174175,0.00083957956],"about_ca_topic_score_codex":0.00006741381,"about_ca_topic_score_gemma":0.0008200233,"teacher_disagreement_score":0.7948257,"about_ca_system_score_codex":0.00007878066,"about_ca_system_score_gemma":0.00002720861,"threshold_uncertainty_score":0.36686814},"labels":[],"label_agreement":null},{"id":"W4315786088","doi":"10.1007/s11071-023-08238-8","title":"Coherence resonance and stochastic synchronization in a small-world neural network: an interplay in the presence of spike-timing-dependent plasticity","year":2023,"lang":"en","type":"article","venue":"Nonlinear Dynamics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vector Institute; University of Toronto; Perimeter Institute","funders":"Deutsche Forschungsgemeinschaft","keywords":"Hebbian theory; Spike-timing-dependent plasticity; Synchronization (alternating current); Coherence (philosophical gambling strategy); Computer science; Artificial neural network; Topology (electrical circuits); Constructive; Spike (software development); Noise (video); Biological neural network; Stochastic neural network; Network topology; Stochastic resonance; Process (computing); Channel (broadcasting); Recurrent neural network; Physics; Mathematics; Artificial intelligence; Postsynaptic potential; Biology; Machine learning","score_opus":0.03415085218306547,"score_gpt":0.2851228988837463,"score_spread":0.25097204670068085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315786088","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99309754,0.000013752151,0.0058499933,0.00022064634,0.00026337052,0.00041318225,0.000044335844,0.00004290273,0.00005428715],"genre_scores_gemma":[0.9993349,0.00001914857,0.00024172645,0.00016638632,0.00006298757,0.000022436785,0.000025307343,0.000017459559,0.00010969349],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99843585,0.00021361455,0.0003432102,0.0004274576,0.00023938231,0.00034050926],"domain_scores_gemma":[0.99872077,0.0008240591,0.00016322768,0.000216089,0.00003291529,0.000042955566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040515748,0.0001540525,0.00018559207,0.00017872996,0.00008258587,0.00005932201,0.0003478769,0.000060087732,0.000004119451],"category_scores_gemma":[0.0007280883,0.00012659177,0.00002292777,0.0012359057,0.00014507736,0.00018128958,0.00015167987,0.0003466087,0.0000030094113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025865162,0.00024109645,0.032486584,0.000089139394,0.0000021354865,0.00011242334,0.00083231664,0.930599,0.005580301,0.0038566533,0.00001913186,0.025922582],"study_design_scores_gemma":[0.0002854806,0.00014759079,0.032395758,0.00009329193,0.000004289171,0.000016335816,0.00008086339,0.9661991,0.000081936996,0.00057144574,0.0000061942533,0.00011768437],"about_ca_topic_score_codex":0.00017876744,"about_ca_topic_score_gemma":0.017116627,"teacher_disagreement_score":0.03560014,"about_ca_system_score_codex":0.000065060565,"about_ca_system_score_gemma":0.000040386225,"threshold_uncertainty_score":0.9551479},"labels":[],"label_agreement":null},{"id":"W4315797302","doi":"10.3389/fncir.2022.1129196","title":"Editorial: Development and plasticity of multisensory circuits","year":2023,"lang":"en","type":"editorial","venue":"Frontiers in Neural Circuits","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network","funders":"","keywords":"Neuroscience; Neuronal circuits; Biological neural network; Neuroplasticity; Psychology; Neural engineering; Cognitive science","score_opus":0.023525902032524085,"score_gpt":0.24851229597655305,"score_spread":0.22498639394402897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315797302","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018070659,0.00009509119,0.00012442669,0.000018475734,0.9806423,0.0004739918,0.00027611764,0.00015457105,0.0001443604],"genre_scores_gemma":[0.039374676,0.0002439462,0.000054746,0.000035095145,0.9591399,0.000064788466,0.00009013704,0.0001454321,0.0008512683],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.995648,0.00023191028,0.0008518217,0.0011884021,0.0014063022,0.0006735139],"domain_scores_gemma":[0.99680895,0.0020896585,0.0004798219,0.00029090757,0.00014896436,0.00018168369],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034530283,0.0005288004,0.0008805436,0.00060003955,0.00015847317,0.000082842846,0.00050888624,0.00092368416,0.0000039336337],"category_scores_gemma":[0.0074453303,0.0005431629,0.000111586945,0.0006387661,0.0002446397,0.00021807292,0.00021746752,0.0013188756,0.0000151767],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003228401,0.00005441433,0.00018974442,0.00032116138,0.000013475022,0.00005655767,0.0001692256,0.00009389488,0.010734494,0.000010075859,0.97223324,0.016091423],"study_design_scores_gemma":[0.0019692618,0.00022848502,0.0012711373,0.00044608573,0.000056144192,0.0000049352234,0.00006099511,0.0039605666,0.00838071,0.00031180453,0.98217523,0.0011346537],"about_ca_topic_score_codex":0.000033291366,"about_ca_topic_score_gemma":0.000034035787,"teacher_disagreement_score":0.021502396,"about_ca_system_score_codex":0.00023453687,"about_ca_system_score_gemma":0.00026709292,"threshold_uncertainty_score":0.999702},"labels":[],"label_agreement":null},{"id":"W4316468884","doi":"10.7554/elife.79513","title":"Inhibition is a prevalent mode of activity in the neocortex around awake hippocampal ripples in mice","year":2023,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Alberta Prion Research Institute; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Neocortex; Neuroscience; Hippocampal formation; Excitatory postsynaptic potential; Glutamate receptor; Ripple; Wakefulness; Hippocampus; Electrophysiology; Cortex (anatomy); Premovement neuronal activity; Biology; Psychology; Inhibitory postsynaptic potential; Electroencephalography; Physics","score_opus":0.041453873238484096,"score_gpt":0.2941191681416337,"score_spread":0.2526652949031496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316468884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978294,0.0000050939943,0.000032261116,0.0012545295,0.0001447568,0.00029141252,0.000033843018,0.000027293754,0.00038143518],"genre_scores_gemma":[0.9988232,0.000083839775,0.000005831363,0.0008715369,0.000042783566,0.00003451728,0.0000040721425,0.000007528433,0.00012665024],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998921,0.00016454713,0.00017357484,0.00024758684,0.00031460833,0.00017868656],"domain_scores_gemma":[0.99949735,0.00023973717,0.00007548709,0.00015553135,0.000012215728,0.000019701814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002829786,0.000083640545,0.00010712828,0.00012935359,0.000043752938,0.000024498282,0.000097108175,0.00004251019,0.000009904105],"category_scores_gemma":[0.00017090322,0.00006452745,0.000043518896,0.00066912716,0.000045171855,0.00014970258,0.000046957502,0.00016594424,0.000030442901],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005973283,0.00017722664,0.005759188,0.000046814515,0.0000012978492,0.000032974942,0.0015011627,0.001020068,0.987483,0.00062284776,0.0006726465,0.0026230314],"study_design_scores_gemma":[0.0011787626,0.00020653414,0.31601498,0.00013784338,0.00000953735,0.000024651683,0.0005842277,0.19936459,0.4752439,0.0060741953,0.0008609343,0.00029985703],"about_ca_topic_score_codex":0.00022430696,"about_ca_topic_score_gemma":0.00036961833,"teacher_disagreement_score":0.5122391,"about_ca_system_score_codex":0.000035921745,"about_ca_system_score_gemma":0.000025164856,"threshold_uncertainty_score":0.2631353},"labels":[],"label_agreement":null},{"id":"W4316496315","doi":"10.1016/j.neuroimage.2023.119883","title":"Neural signatures of task-related fluctuations in auditory attention and age-related changes","year":2023,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada First Research Excellence Fund; Max-Planck-Institut für Kognitions- und Neurowissenschaften; Deutsche Forschungsgemeinschaft","keywords":"Active listening; Magnetoencephalography; Psychology; Dissociation (chemistry); Audiology; Auditory cortex; Task (project management); Cognitive psychology; Healthy aging; Age groups; Developmental psychology; Neuroscience; Electroencephalography; Medicine; Communication; Gerontology","score_opus":0.021777434350942076,"score_gpt":0.2559061576579146,"score_spread":0.2341287233069725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316496315","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964006,0.000021627235,0.000003570375,0.001484152,0.0010245928,0.00024705843,0.000024905557,0.00016625883,0.00062724925],"genre_scores_gemma":[0.99830574,0.00009446756,0.0000049349637,0.00023113965,0.00003264396,0.000011912444,0.000026128351,0.00002158938,0.0012714323],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99877256,0.00016587958,0.00023914906,0.00038913553,0.00021323145,0.00022002409],"domain_scores_gemma":[0.99939954,0.0002492136,0.00011466815,0.00017054279,0.0000216631,0.000044340482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014307602,0.00012697552,0.00015379093,0.0003518475,0.000096399424,0.000032541717,0.00011487835,0.000085723404,0.000025813923],"category_scores_gemma":[0.0004055079,0.000121938334,0.000043483484,0.00095266144,0.00015646122,0.00016727007,0.00008436741,0.00028106562,0.000031519176],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011426606,0.000027584938,0.00033199732,0.000018487552,0.0000016926331,0.00011245782,0.00009629915,0.00048142322,0.9957457,0.0005239837,0.000533685,0.0021152317],"study_design_scores_gemma":[0.0010084622,0.00026821558,0.859932,0.000043260494,0.000020717136,0.000027511127,0.00004280482,0.11902801,0.016102396,0.0027432386,0.00051652046,0.00026688376],"about_ca_topic_score_codex":0.000016021184,"about_ca_topic_score_gemma":0.0000328063,"teacher_disagreement_score":0.97964334,"about_ca_system_score_codex":0.000012726877,"about_ca_system_score_gemma":0.000008957006,"threshold_uncertainty_score":0.4972501},"labels":[],"label_agreement":null},{"id":"W4316654353","doi":"10.1016/j.isci.2023.106000","title":"Pupillary dynamics reflect the impact of temporal expectation on detection strategy","year":2023,"lang":"en","type":"article","venue":"iScience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"International Laboratory for Brain, Music and Sound Research","funders":"H2020 European Research Council; European Research Council; Agence Nationale de la Recherche","keywords":"Pupillometry; Computer science; Pupillary response; Probabilistic logic; Perception; Context (archaeology); Cognitive psychology; Psychology; Artificial intelligence; Neuroscience; Pupil","score_opus":0.05139492423511641,"score_gpt":0.33184388607716164,"score_spread":0.28044896184204526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316654353","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99636847,0.00000387257,0.00055716274,0.00017030089,0.00032020418,0.00015737831,0.000012356682,0.0000906689,0.0023195662],"genre_scores_gemma":[0.999571,0.000019232753,0.00000442571,0.000055770277,0.000031426036,0.00000891582,0.0000033129077,0.000007658246,0.0002982485],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989285,0.000090297086,0.00015133843,0.00028751665,0.0003328896,0.0002094816],"domain_scores_gemma":[0.9993919,0.0002061173,0.00011358256,0.00022134496,0.000031527732,0.00003550686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026006353,0.00009250762,0.00007638484,0.00013988253,0.00026142958,0.000056863853,0.00023831558,0.00003271094,0.000009909244],"category_scores_gemma":[0.0002968108,0.000055973378,0.00007731082,0.0015258688,0.00015727256,0.00021575177,0.000037811995,0.000116027055,0.000046320132],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040637213,0.000026436031,0.00061267155,0.000003558326,0.0000011961378,0.0000064911,0.0001238939,0.017329812,0.9548732,0.0013364885,0.00007618215,0.02556943],"study_design_scores_gemma":[0.00014497321,0.0010844687,0.09455797,0.000012140722,0.0000028595211,0.000023977782,0.00020632817,0.7558569,0.14490561,0.0030423058,0.000024118093,0.0001383761],"about_ca_topic_score_codex":0.00014446735,"about_ca_topic_score_gemma":0.000090612746,"teacher_disagreement_score":0.8099676,"about_ca_system_score_codex":0.00009425723,"about_ca_system_score_gemma":0.00005012388,"threshold_uncertainty_score":0.22825281},"labels":[],"label_agreement":null},{"id":"W4317036747","doi":"10.3389/fnagi.2022.952101","title":"Concurrent behavioral and electrophysiological longitudinal recordings for in vivo assessment of aging","year":2023,"lang":"en","type":"article","venue":"Frontiers in Aging Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto; Centre for Addiction and Mental Health","funders":"Centre for Addiction and Mental Health; BrightFocus Foundation","keywords":"Electroencephalography; Electrophysiology; Neuroscience; Cognition; Sleep (system call); Psychology; Medicine; Computer science","score_opus":0.054573417527192296,"score_gpt":0.33360413639929476,"score_spread":0.27903071887210246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317036747","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99143505,0.000012057282,0.0061302986,0.0002451665,0.00179474,0.00029460018,0.0000134169295,0.00004850461,0.000026147445],"genre_scores_gemma":[0.9990033,0.0001272815,0.00055551255,0.00016445092,0.000019030096,0.000038229162,0.000001054598,0.00000975592,0.0000813805],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99836373,0.00007774461,0.00026417218,0.0006447398,0.00022079531,0.00042882265],"domain_scores_gemma":[0.9995721,0.0001353374,0.00010566623,0.00011936801,0.000015362719,0.000052143034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003367673,0.00012947363,0.00022575403,0.00035533574,0.00011263599,0.00005109288,0.00023805576,0.000032970656,0.0000013628443],"category_scores_gemma":[0.00021941726,0.00012070426,0.00004316914,0.0010557229,0.0002477902,0.00021751023,0.00012559471,0.0002015982,1.7244574e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008648588,0.000060296177,0.13508637,0.000027445236,1.7958736e-7,0.000023670778,0.00004216818,0.00044072096,0.85879594,0.0004538006,0.00025875302,0.0048020165],"study_design_scores_gemma":[0.00086869294,0.0008910404,0.4600924,0.00010721397,0.000006989778,0.000017043563,0.00009367258,0.46450758,0.07069662,0.0018238436,0.000550837,0.00034407654],"about_ca_topic_score_codex":0.000019064046,"about_ca_topic_score_gemma":0.000004858694,"teacher_disagreement_score":0.7880993,"about_ca_system_score_codex":0.00006681493,"about_ca_system_score_gemma":0.00003352318,"threshold_uncertainty_score":0.4922177},"labels":[],"label_agreement":null},{"id":"W4317478017","doi":"10.7554/elife.72951","title":"Temporal derivative computation in the dorsal raphe network revealed by an experimentally driven augmented integrate-and-fire modeling framework","year":2023,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research; Krembil Foundation; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada","keywords":"Dorsal raphe nucleus; Neuroscience; Biological neural network; Computer science; Excitatory postsynaptic potential; Computation; Raphe nuclei; Inhibitory postsynaptic potential; Serotonergic; Biology; Serotonin; Algorithm","score_opus":0.0443512763406925,"score_gpt":0.3096925433560236,"score_spread":0.2653412670153311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317478017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99100953,0.000030277666,0.007397064,0.00072195474,0.00032246503,0.0003412065,0.000009063519,0.00011809408,0.000050358074],"genre_scores_gemma":[0.99695617,0.00004473522,0.00048909016,0.0022516828,0.00008153656,0.000042936306,0.00007662903,0.000018204086,0.000039015882],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985915,0.00028676164,0.00023188528,0.00036008022,0.0002823955,0.0002473656],"domain_scores_gemma":[0.99951476,0.00020811628,0.00007473885,0.00013725692,0.000021418155,0.00004373784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028323178,0.00013886274,0.00013148076,0.00004904231,0.0002415485,0.000105704545,0.000149783,0.00006790587,0.00000639737],"category_scores_gemma":[0.00013160756,0.00010211793,0.000031574098,0.00068053085,0.000055769553,0.00020325299,0.00006220698,0.00026452082,0.0000113787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069670595,0.00054576196,0.031391177,0.000044614535,0.000035378875,0.00018415993,0.017087318,0.6704443,0.24000946,0.0069477893,0.020814303,0.011799013],"study_design_scores_gemma":[0.00027544753,0.00013481743,0.0016807645,0.000048253623,0.0000029205958,0.0000043688137,0.0010010806,0.9940003,0.00092284026,0.0016971809,0.00010336854,0.00012862618],"about_ca_topic_score_codex":0.00006554132,"about_ca_topic_score_gemma":0.000012357345,"teacher_disagreement_score":0.323556,"about_ca_system_score_codex":0.00003165865,"about_ca_system_score_gemma":0.000015672706,"threshold_uncertainty_score":0.41642484},"labels":[],"label_agreement":null},{"id":"W4317497802","doi":"10.1101/2023.01.16.524224","title":"All-optical interrogation of excitability during seizure propagation reveals high local inhibition amidst baseline excitability","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Brain Institute; University of Toronto; University Health Network","funders":"University of Toronto; Mitacs; Wellcome Trust","keywords":"Neuroscience; Inhibitory postsynaptic potential; Wavefront; Epilepsy; In vivo; Physics; Psychology; Biology; Optics","score_opus":0.026635095945331148,"score_gpt":0.23919627239871402,"score_spread":0.21256117645338288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317497802","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97581136,0.000014892235,0.019043677,0.0007827996,0.0016800187,0.0014045248,0.0004603172,0.00079903123,0.0000033950432],"genre_scores_gemma":[0.9983355,0.000040280185,0.0006868455,0.00016017478,0.00038636843,0.00024770488,0.000005752489,0.00012726898,0.0000101421065],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9946778,0.0006698478,0.0013151909,0.0018620358,0.00087475026,0.00060038356],"domain_scores_gemma":[0.99647754,0.00040116408,0.00082144083,0.0013781491,0.00066955254,0.0002521633],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018181964,0.00061278633,0.000722451,0.00036474827,0.00020305734,0.00015446992,0.0003997995,0.00065489655,0.00004646582],"category_scores_gemma":[0.0022084976,0.0006394181,0.00025228344,0.0008649657,0.00046786328,0.00043814935,0.0006845813,0.001088094,0.000061008457],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016184004,0.00027543653,0.0009418431,0.0013301986,0.000022757307,0.000035296453,0.000012972888,0.0011140243,0.99461555,0.0014682023,0.000017084038,0.0000048022725],"study_design_scores_gemma":[0.00053319166,0.00010425306,0.26320162,0.00051481446,0.00007350188,8.895052e-8,0.000008424519,0.012026817,0.72282696,0.00012557764,0.000018006176,0.00056671066],"about_ca_topic_score_codex":0.000116802126,"about_ca_topic_score_gemma":0.000017887476,"teacher_disagreement_score":0.27178857,"about_ca_system_score_codex":0.0010592939,"about_ca_system_score_gemma":0.00032715226,"threshold_uncertainty_score":0.9996057},"labels":[],"label_agreement":null},{"id":"W4317666360","doi":"10.1016/j.neuroimage.2023.119896","title":"Intrinsic neural timescales mediate the cognitive bias of self – temporal integration as key mechanism","year":2023,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Douglas Mental Health University Institute; Royal Ottawa Mental Health Centre; University of Ottawa","funders":"FP7 Coordination of Research Activities; Physicians' Services Incorporated Foundation; Social Sciences and Humanities Research Council of Canada; European Commission; Natural Sciences and Engineering Research Council of Canada; Horizon 2020; Canadian Institutes of Health Research","keywords":"Psychology; Dorsolateral prefrontal cortex; Operationalization; Cognitive psychology; Cognition; Prefrontal cortex; Neuroscience; Default mode network; Mechanism (biology)","score_opus":0.049367438607831056,"score_gpt":0.2756754580327033,"score_spread":0.22630801942487228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317666360","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943413,0.0000042799593,0.00008681562,0.0019326428,0.000867121,0.000405229,0.000050442373,0.00031445615,0.0019977172],"genre_scores_gemma":[0.9974621,0.00005862363,0.000014544947,0.0014986339,0.000096550684,0.000022289074,0.000025162284,0.000030488643,0.00079162716],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99828565,0.0003315291,0.00029130816,0.00041469996,0.000411863,0.000264927],"domain_scores_gemma":[0.99860233,0.0008400796,0.00018534028,0.00023643841,0.00007366361,0.00006212099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002753749,0.00018045417,0.00017279004,0.00020840351,0.00018776127,0.00008200942,0.00025996886,0.000053886142,0.000050333078],"category_scores_gemma":[0.0014382325,0.00012201834,0.000106194304,0.0010288286,0.00014376626,0.00024677446,0.00015161672,0.00029643,0.00030968626],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011789683,0.00009958085,0.00033115366,0.000025060794,0.0000074706027,0.00017861988,0.00070951117,0.00003068428,0.96294653,0.0122189205,0.0008399123,0.022494633],"study_design_scores_gemma":[0.0012719685,0.0012068546,0.033531047,0.000063629195,0.00008526374,0.00014429254,0.00040646244,0.118300885,0.8245349,0.018714093,0.0012285352,0.00051209365],"about_ca_topic_score_codex":0.000028096594,"about_ca_topic_score_gemma":0.000016986995,"teacher_disagreement_score":0.13841169,"about_ca_system_score_codex":0.000012652881,"about_ca_system_score_gemma":0.00003324772,"threshold_uncertainty_score":0.49757636},"labels":[],"label_agreement":null},{"id":"W4317691709","doi":"10.1117/1.nph.10.1.015001","title":"Chronic multiscale resolution of mouse brain networks using combined mesoscale cortical imaging and subcortical fiber photometry","year":2023,"lang":"en","type":"article","venue":"Neurophotonics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Fondation Brain Canada","keywords":"Neuroimaging; Mesoscale meteorology; Neuroscience; Optical imaging; Photometry (optics); High resolution; Computer science; Artificial intelligence; Remote sensing; Psychology; Computer vision; Physics; Geology; Optics","score_opus":0.023132730073068423,"score_gpt":0.26856736695219646,"score_spread":0.24543463687912803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317691709","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99799097,0.000062876934,0.0005215714,0.00030918475,0.00045507247,0.00032501406,0.000022681521,0.00018282188,0.00012982942],"genre_scores_gemma":[0.998575,0.00015591018,0.00014665954,0.00043422505,0.000064970016,0.000008780307,0.000009401645,0.00005436472,0.0005507285],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978906,0.00022238627,0.00040956296,0.0006072435,0.00035351378,0.00051671074],"domain_scores_gemma":[0.998623,0.00070128986,0.00012671715,0.00035396693,0.00003886598,0.00015611923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024305843,0.00020321122,0.00028112202,0.00019089715,0.00023345675,0.000059838985,0.00016811956,0.00009356319,0.000057191053],"category_scores_gemma":[0.0005255535,0.00020117522,0.000096409174,0.0007450949,0.0003181702,0.00015374583,0.00025028904,0.00042700744,0.00003440115],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000870825,0.00005121534,0.0010521167,0.00003487949,0.0000031111217,0.000077092074,0.000013737773,0.0070310147,0.99002165,0.00031404776,0.00023995545,0.0010740742],"study_design_scores_gemma":[0.000678792,0.00017859528,0.0041843383,0.000016933447,0.000017410614,0.000056378973,0.0000069881835,0.8906549,0.103530936,0.000046715337,0.0004556547,0.00017230875],"about_ca_topic_score_codex":0.000021546975,"about_ca_topic_score_gemma":0.000005977271,"teacher_disagreement_score":0.88649076,"about_ca_system_score_codex":0.00007532094,"about_ca_system_score_gemma":0.000048762944,"threshold_uncertainty_score":0.82036877},"labels":[],"label_agreement":null},{"id":"W4317771628","doi":"10.1093/pnasnexus/pgac265","title":"A generative adversarial model of intrusive imagery in the human brain","year":2023,"lang":"en","type":"article","venue":"PNAS Nexus","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Institut Universitaire en Santé Mentale de Québec","funders":"National Institute of Mental Health; Canadian Institutes of Health Research; Templeton World Charity Foundation; New York University; Alexander von Humboldt-Stiftung; York University; James S. McDonnell Foundation","keywords":"Adversarial system; Mental image; Psychology; Perception; Generative grammar; Perspective (graphical); Cognitive psychology; Leverage (statistics); Consciousness; Cognitive science; Cognition; Computer science; Artificial intelligence; Neuroscience","score_opus":0.058409097178246716,"score_gpt":0.2961539618197408,"score_spread":0.23774486464149408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317771628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916677,0.000002255227,0.00047647394,0.0028609699,0.00027401673,0.00022057211,0.00002927603,0.000038298404,0.0044304472],"genre_scores_gemma":[0.9971059,0.0000034798325,0.000026834428,0.0019501908,0.00009727419,0.000021693133,0.0000074175773,0.000008744322,0.0007784776],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911666,0.00014056405,0.00015790328,0.00021896433,0.00019734011,0.00016854268],"domain_scores_gemma":[0.99939626,0.00033550564,0.0000636113,0.00016872823,0.000017353237,0.000018554965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022737845,0.00008010632,0.0001023862,0.000105107414,0.00010118718,0.000027432816,0.00019475346,0.000032775613,0.000011652142],"category_scores_gemma":[0.0004234392,0.000057385943,0.000047825182,0.00047908025,0.0000834869,0.00011254721,0.000069976035,0.00013803494,0.000025478017],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018217366,0.00003002793,0.000027731294,0.000005163033,0.000001323172,0.000023351204,0.0015686303,0.0121413,0.9591752,0.023969922,0.0025503049,0.0004888221],"study_design_scores_gemma":[0.0007716989,0.00014418515,0.0014661987,0.0000126773775,0.0000072078183,0.0000075476037,0.0003866175,0.83856875,0.077419095,0.08072451,0.0003144332,0.00017708258],"about_ca_topic_score_codex":0.00004302933,"about_ca_topic_score_gemma":0.000037903435,"teacher_disagreement_score":0.8817561,"about_ca_system_score_codex":0.000018877136,"about_ca_system_score_gemma":0.000026255955,"threshold_uncertainty_score":0.23401308},"labels":[],"label_agreement":null},{"id":"W4317778891","doi":"10.1016/j.tins.2022.12.006","title":"Continual task learning in natural and artificial agents","year":2023,"lang":"en","type":"review","venue":"Trends in Neurosciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Medical Research Council; Wellcome Trust; Canadian Institute for Advanced Research","keywords":"Task (project management); Computer science; Artificial intelligence; Artificial neural network; Focus (optics); Natural (archaeology); Cognitive science; Psychology; Biology","score_opus":0.14800383904163839,"score_gpt":0.3830272366474789,"score_spread":0.2350233976058405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317778891","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0897906,0.8801474,0.0000028863963,0.0005058393,0.024282714,0.001408505,0.00013084439,0.0007640589,0.0029671388],"genre_scores_gemma":[0.020600844,0.9724082,0.0000031770774,0.00011695161,0.00010232312,0.000044012802,0.00001096109,0.000038814684,0.0066747623],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968217,0.00048397027,0.0006113466,0.0011289762,0.00042390224,0.000530091],"domain_scores_gemma":[0.998874,0.0006220312,0.00026511235,0.00016118732,0.000006293747,0.00007137136],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00044151957,0.00034349272,0.0007836997,0.0012796918,0.00017315887,0.00023881403,0.00045355465,0.0001317986,0.000012266839],"category_scores_gemma":[0.0009559296,0.00027150533,0.00013140829,0.0032900104,0.0003290402,0.00025124272,0.00024602318,0.0009326765,0.00002794006],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000044666012,0.000035477886,0.000057688387,0.00030673904,6.1742253e-7,0.00021284081,0.00004943042,0.000020978969,0.0005072273,0.0002849493,0.00005796455,0.9984616],"study_design_scores_gemma":[0.00048177084,0.00049428514,0.002938312,0.004157592,0.00006816394,0.0002125346,0.000078735095,0.018496526,0.00006592336,0.00054881227,0.97097474,0.0014825753],"about_ca_topic_score_codex":0.000033158147,"about_ca_topic_score_gemma":0.00021591176,"teacher_disagreement_score":0.99697906,"about_ca_system_score_codex":0.000045635043,"about_ca_system_score_gemma":0.000051519353,"threshold_uncertainty_score":0.9999737},"labels":[],"label_agreement":null},{"id":"W4317780663","doi":"10.1016/j.neuroimage.2023.119871","title":"Modeling brain dynamics and gaze behavior: Starting point bias and drift rate relate to frontal midline theta oscillations","year":2023,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Saint Vincent University","funders":"National Institute of Mental Health; National Alliance for Research on Schizophrenia and Depression; Brain and Behavior Research Foundation","keywords":"Psychology; Gaze; Cued speech; Cognitive psychology; Task (project management); Saccade; Dynamics (music); Neuroscience; Eye movement","score_opus":0.055661899729787336,"score_gpt":0.28282594976972153,"score_spread":0.2271640500399342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317780663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909096,0.0000074226245,0.0016806575,0.0059703547,0.00032702854,0.00037678215,0.00009834494,0.00024890437,0.00038094624],"genre_scores_gemma":[0.99628764,0.000050515162,0.00017327325,0.0017932754,0.000043608245,0.000015749827,0.000019713112,0.000045374556,0.0015708753],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998367,0.00015689597,0.00029437605,0.0006361811,0.00019399507,0.0003515558],"domain_scores_gemma":[0.99916756,0.00032829554,0.00006461956,0.00025129813,0.000029861196,0.00015835773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003886098,0.00018945638,0.00016841474,0.00019712708,0.0003722556,0.00019949139,0.00010544057,0.000053293013,0.000009834082],"category_scores_gemma":[0.00088127604,0.00018089054,0.000045828314,0.00043904255,0.00006272486,0.00030300883,0.00024996436,0.00026233343,0.00003878885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004681326,0.000036404865,0.0023575642,0.000018992618,0.0000025070012,0.00017830115,0.0004265911,0.013992082,0.9766589,0.0018728515,0.00028997788,0.0041190437],"study_design_scores_gemma":[0.00030763733,0.00011720594,0.011080986,0.000017059207,0.000014823748,0.00003502417,0.00007163885,0.98578024,0.0012750512,0.0010007153,0.00010265343,0.0001969414],"about_ca_topic_score_codex":0.000049679933,"about_ca_topic_score_gemma":0.0001754346,"teacher_disagreement_score":0.9753838,"about_ca_system_score_codex":0.000027246731,"about_ca_system_score_gemma":0.000014396637,"threshold_uncertainty_score":0.7376502},"labels":[],"label_agreement":null},{"id":"W4317790307","doi":"10.1101/2023.01.23.525101","title":"Neurophysiological signatures of cortical micro-architecture","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute of General Medical Sciences; Fonds de recherche du Québec – Nature et technologies; Canadian Institutes of Health Research; National Institutes of Health; Health Canada; Canada First Research Excellence Fund; Canada Research Chairs; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada; McGill University; Michael J. Fox Foundation for Parkinson's Research","keywords":"Neurophysiology; Magnetoencephalography; Neuroscience; Computer science; Cortex (anatomy); Electroencephalography; Biology","score_opus":0.026106048166215038,"score_gpt":0.23389287736868133,"score_spread":0.2077868292024663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317790307","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952284,0.00007098007,0.00064243854,0.0004133571,0.0022209738,0.0005253228,0.00034237874,0.00055091095,0.000005226976],"genre_scores_gemma":[0.9979936,0.00013409661,0.000659821,0.0006702214,0.00035894217,0.000054523065,2.8536522e-7,0.0001158099,0.000012717938],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9967571,0.00037185982,0.0005333516,0.0013241395,0.00047634044,0.0005372388],"domain_scores_gemma":[0.9978071,0.00047500944,0.00037076438,0.0009841337,0.00016201485,0.00020099107],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023853673,0.0004950046,0.0005935068,0.00024443064,0.00016084743,0.0001078787,0.00076890714,0.0005762919,0.000032633772],"category_scores_gemma":[0.0016181484,0.00043145675,0.00027000296,0.0006111601,0.0003345914,0.000055843426,0.0008985141,0.0017598065,0.00008329034],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006857096,0.00010948068,0.00018214599,0.0001915036,0.000016144673,0.00012938652,0.000002076579,0.000987718,0.9968016,0.0012826591,0.0002272982,0.0000014039762],"study_design_scores_gemma":[0.000233435,0.00018510017,0.08344268,0.00014472962,0.00004773708,2.9007689e-8,4.1552408e-7,0.0016229517,0.9130605,0.000055470715,0.00065200485,0.0005549532],"about_ca_topic_score_codex":0.00001118974,"about_ca_topic_score_gemma":4.3200933e-7,"teacher_disagreement_score":0.08374112,"about_ca_system_score_codex":0.00005856771,"about_ca_system_score_gemma":0.00016455169,"threshold_uncertainty_score":0.99981374},"labels":[],"label_agreement":null},{"id":"W4317802019","doi":"10.1016/j.isci.2023.106026","title":"Effects of neuromodulation-inspired mechanisms on the performance of deep neural networks in a spatial learning task","year":2023,"lang":"en","type":"article","venue":"iScience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vector Institute; Western University","funders":"Canada First Research Excellence Fund; Vector Institute; Western University","keywords":"Neuromodulation; Dropout (neural networks); Neuroscience; Computer science; Artificial intelligence; Task (project management); Hyperparameter; Artificial neural network; Neuroplasticity; Machine learning; Psychology","score_opus":0.013067923400784364,"score_gpt":0.21955927787578094,"score_spread":0.20649135447499659,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317802019","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963925,0.000003888622,0.0025985434,0.00020889565,0.0004610075,0.00022774722,6.4239384e-7,0.00003712745,0.00006964015],"genre_scores_gemma":[0.999714,0.000013597297,0.000008546409,0.00018818337,0.000017626611,0.000012906637,5.887765e-7,0.000007442373,0.000037113998],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99882144,0.00014560422,0.00018920522,0.00027410346,0.0003450371,0.0002245984],"domain_scores_gemma":[0.99894696,0.00072249456,0.00013708892,0.00014876486,0.000019320352,0.00002534227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029942527,0.00008722723,0.00010931479,0.00012504947,0.00014675393,0.000018988896,0.00028564528,0.000028824074,0.0000043688574],"category_scores_gemma":[0.00061472715,0.000061260565,0.00003671705,0.0012084658,0.0001326806,0.00013573642,0.00008655304,0.0001805701,0.000006263909],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019990683,0.000018510267,0.0009272645,0.000016042855,2.0028574e-7,0.0000054212655,0.00009980683,0.30340314,0.6839064,0.0011747428,0.0000012268866,0.010427266],"study_design_scores_gemma":[0.0001102783,0.0003001892,0.064960554,0.000018354116,0.0000013500209,0.000001711875,0.0000066593557,0.81016695,0.12423041,0.00015212143,0.0000024304122,0.000049015438],"about_ca_topic_score_codex":0.000033449287,"about_ca_topic_score_gemma":0.000015549549,"teacher_disagreement_score":0.559676,"about_ca_system_score_codex":0.000011599876,"about_ca_system_score_gemma":0.0000089985715,"threshold_uncertainty_score":0.24981335},"labels":[],"label_agreement":null},{"id":"W4318333103","doi":"10.1093/cercor/bhac521","title":"Spontaneous activity in cortical neurons is stereotyped and non-Poisson","year":2023,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Poisson distribution; Cortical neurons; Autocorrelation; Cerebral cortex; Poisson process; Logarithm; Mathematics; Biology; Statistics; Mathematical analysis","score_opus":0.026352637010034836,"score_gpt":0.263561146534609,"score_spread":0.23720850952457415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318333103","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972555,0.0000016753501,0.000016750653,0.00095965684,0.00041398933,0.0002047291,0.000018782166,0.00010943728,0.00101949],"genre_scores_gemma":[0.9972065,0.000022354685,0.0000048506,0.000996137,0.000039494626,0.000007505099,0.000002859484,0.000019218747,0.0017010703],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988089,0.000078272365,0.00014023084,0.00046679267,0.00017688406,0.0003288964],"domain_scores_gemma":[0.9994295,0.00022036096,0.000040866573,0.00019548151,0.0000098327055,0.000103906044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008583302,0.00013421368,0.00015916445,0.000116836185,0.000111957954,0.00005979094,0.00011016578,0.00006449891,0.000075075004],"category_scores_gemma":[0.00016634418,0.00012393385,0.00003850912,0.00045140908,0.00007472151,0.00014367988,0.0001201339,0.00027774842,0.00019161667],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022769302,0.00008541645,0.009172993,0.000029535584,0.0000024895899,0.002161279,0.00023750184,0.000010122698,0.9731426,0.00062371814,0.000747868,0.013558777],"study_design_scores_gemma":[0.00057983526,0.00029688329,0.8874083,0.000015267564,0.00000798142,0.00040125457,0.000028508404,0.094534904,0.015343762,0.0007546539,0.0003863846,0.00024226266],"about_ca_topic_score_codex":0.000057403133,"about_ca_topic_score_gemma":0.00012385883,"teacher_disagreement_score":0.95779884,"about_ca_system_score_codex":0.000028425682,"about_ca_system_score_gemma":0.000020597103,"threshold_uncertainty_score":0.50538754},"labels":[],"label_agreement":null},{"id":"W4318612293","doi":"10.1007/s12559-023-10121-y","title":"Toward a Brain-Inspired Theory of Artificial Learning","year":2023,"lang":"en","type":"article","venue":"Cognitive Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Artificial intelligence; Cognition; Process (computing); Artificial neural network; Cognitive science; Cognitive architecture; Context (archaeology); Key (lock); Machine learning; Psychology; Neuroscience","score_opus":0.08819699296151347,"score_gpt":0.30759369874255676,"score_spread":0.2193967057810433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318612293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85392493,0.000002756359,0.14395753,0.0002570656,0.00027994555,0.00015833614,0.00000966762,0.00017800393,0.0012317759],"genre_scores_gemma":[0.99923885,0.0000039672777,0.0000151570175,0.00035747708,0.00005664869,0.000008855292,0.000041693278,0.000012583402,0.0002647984],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990537,0.00024468102,0.00016388725,0.0002302961,0.0001735458,0.00013388308],"domain_scores_gemma":[0.99830097,0.0014437527,0.000107498585,0.000019408448,0.00010053328,0.000027858898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002472822,0.0000748518,0.000097084805,0.0001547529,0.000114243936,0.000025569292,0.0000365776,0.000032244396,0.00001952028],"category_scores_gemma":[0.0021608016,0.00007450636,0.00004975666,0.0005818594,0.00008267862,0.000098083416,0.000040445044,0.0001033128,0.00016817455],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015200503,0.000040718827,0.00019557837,0.000029385326,0.0000057484344,0.000017244543,0.000606281,0.0016160824,0.42389452,0.004594412,0.00010315078,0.56874484],"study_design_scores_gemma":[0.00070425606,0.0004899375,0.027964253,0.000099871635,0.00002467132,0.000009177419,0.0011227409,0.73036504,0.18628655,0.052555572,0.000112672475,0.00026522702],"about_ca_topic_score_codex":0.0000013281073,"about_ca_topic_score_gemma":5.581624e-7,"teacher_disagreement_score":0.728749,"about_ca_system_score_codex":0.0000114575605,"about_ca_system_score_gemma":0.000019775081,"threshold_uncertainty_score":0.30382812},"labels":[],"label_agreement":null},{"id":"W4318775919","doi":"10.3390/brainsci13020245","title":"Biologically-Based Computation: How Neural Details and Dynamics Are Suited for Implementing a Variety of Algorithms","year":2023,"lang":"en","type":"article","venue":"Brain Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Research Council Canada; Canada Research Chairs; Canada Foundation for Innovation; Air Force Office of Scientific Research; Ontario Innovation Trust","keywords":"Computer science; Variety (cybernetics); Computation; Probabilistic logic; Computational neuroscience; Grid; Algorithm; Path (computing); Theoretical computer science; Dynamics (music); Artificial intelligence; Mathematics","score_opus":0.0998122240634566,"score_gpt":0.3280639134986008,"score_spread":0.2282516894351442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318775919","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9657841,0.000005705577,0.02111019,0.0122340005,0.00023631856,0.00035233883,0.000120957375,0.000109458415,0.00004698],"genre_scores_gemma":[0.9964628,0.0000031782513,0.0023756833,0.0010093759,0.000029621138,0.000020984024,0.000021285994,0.00000577697,0.00007126253],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986878,0.000089566616,0.00018859825,0.00044693402,0.00025120488,0.00033588216],"domain_scores_gemma":[0.9980378,0.0015710894,0.00020204544,0.00007623548,0.00006170944,0.000051081613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008531186,0.000107164655,0.00015718865,0.00014567873,0.0004676516,0.00016176075,0.0002064338,0.000039704,0.0000036152946],"category_scores_gemma":[0.0011399593,0.000081328275,0.00005967086,0.0011093344,0.00043981653,0.000168723,0.00009235359,0.000053701755,7.8837064e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012235735,0.00017732875,0.085901245,0.00033549013,0.000016766522,0.00003107774,0.00041188864,0.011455912,0.70840365,0.034057707,0.002813568,0.15627299],"study_design_scores_gemma":[0.0003100603,0.00025074006,0.019809956,0.000010449104,0.0000036905983,0.0000046232662,0.0002773541,0.9731548,0.0033257045,0.0025367113,0.00020464598,0.000111308196],"about_ca_topic_score_codex":0.000009696289,"about_ca_topic_score_gemma":0.000032089636,"teacher_disagreement_score":0.96169883,"about_ca_system_score_codex":0.000012612577,"about_ca_system_score_gemma":0.00003321611,"threshold_uncertainty_score":0.35968453},"labels":[],"label_agreement":null},{"id":"W4319082991","doi":"10.3390/bios13020220","title":"Pre-Stimulus Power but Not Phase Predicts Prefrontal Cortical Excitability in TMS-EEG","year":2023,"lang":"en","type":"article","venue":"Biosensors","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; Toronto Dementia Research Alliance; University of Toronto; Centre for Addiction and Mental Health","funders":"University of Toronto; Canadian Institutes of Health Research; Biogen; Centre for Addiction and Mental Health; Brain and Behavior Research Foundation","keywords":"Electroencephalography; Neuroscience; Stimulus (psychology); Psychology; Prefrontal cortex; Cognitive psychology; Cognition","score_opus":0.03523328038585947,"score_gpt":0.29482275675015013,"score_spread":0.25958947636429064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319082991","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967105,0.0000030048714,0.000027727128,0.0005290695,0.0009969831,0.00046300355,0.00015116473,0.00030724687,0.0008113126],"genre_scores_gemma":[0.99780166,0.000009865766,0.000021834641,0.00038897333,0.000053009175,0.00002342764,0.000012121694,0.000024094175,0.0016649852],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99794537,0.00018428222,0.0003405457,0.0006520501,0.00038995442,0.00048782173],"domain_scores_gemma":[0.99899477,0.00041125776,0.000060589897,0.00035051085,0.000023661773,0.00015923679],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026800318,0.0001858877,0.00019898757,0.00014641817,0.00011962424,0.00004784699,0.00019031261,0.000116620206,0.00011332718],"category_scores_gemma":[0.0015904664,0.00016507175,0.00008586071,0.0005565181,0.0001894489,0.00017136209,0.00012171481,0.00027959113,0.0003215584],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042278142,0.00032005503,0.0013155122,0.000016438855,0.000002236158,0.00016038559,0.0001980132,0.00013075014,0.9959258,0.00033371398,0.00032566607,0.00084867206],"study_design_scores_gemma":[0.0027566317,0.00088825845,0.7242396,0.000030058145,0.000012539094,0.00003782319,0.00011506653,0.14125732,0.1283386,0.00038255472,0.0015001101,0.0004414594],"about_ca_topic_score_codex":0.00004260729,"about_ca_topic_score_gemma":0.000029529896,"teacher_disagreement_score":0.86758715,"about_ca_system_score_codex":0.000086587155,"about_ca_system_score_gemma":0.000036549052,"threshold_uncertainty_score":0.6731431},"labels":[],"label_agreement":null},{"id":"W4319224787","doi":"10.1093/nc/niac019","title":"Adaptation in the sensory cortex drives bistable switching during auditory stream segregation","year":2023,"lang":"en","type":"article","venue":"Neuroscience of Consciousness","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital","funders":"National Institute of General Medical Sciences; Office of Naval Research; National Institutes of Health","keywords":"Bistability; Adaptation (eye); Sensory system; Auditory cortex; Neuroscience; Communication; Psychology; Physics; Optoelectronics","score_opus":0.03255938879156799,"score_gpt":0.26516259844358075,"score_spread":0.23260320965201275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319224787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996936,0.0000035678968,0.00018408014,0.00060310494,0.0014601146,0.0002892077,0.000010720493,0.00011373154,0.00039944067],"genre_scores_gemma":[0.99913645,0.000052386633,0.000008696097,0.00035777752,0.00005140279,0.000020922424,0.0000017953956,0.000013113542,0.00035744376],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99801695,0.0002458359,0.00030434513,0.00048763095,0.0006083371,0.00033691913],"domain_scores_gemma":[0.9989249,0.0004900116,0.00020639041,0.00029216218,0.000044804,0.00004174506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004439631,0.00013857747,0.00014824371,0.0003235826,0.0003864659,0.000105027604,0.00041922365,0.00004491958,0.0000039672973],"category_scores_gemma":[0.0008370871,0.000108952176,0.000050439754,0.0016718454,0.00024927635,0.0005351532,0.00007162448,0.00020570819,0.000014224273],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017419186,0.000037823214,0.0015062033,0.000024972833,2.1315667e-7,0.000037935726,0.0006798007,0.006649879,0.98809654,0.0013248896,0.00003151511,0.0015927898],"study_design_scores_gemma":[0.00085047487,0.00018597137,0.47138283,0.00009351046,0.000010562336,0.000089001165,0.0020083536,0.30033955,0.22110957,0.003078331,0.00046338135,0.00038845366],"about_ca_topic_score_codex":0.00004885099,"about_ca_topic_score_gemma":0.00008361104,"teacher_disagreement_score":0.76698697,"about_ca_system_score_codex":0.000029709889,"about_ca_system_score_gemma":0.00007595587,"threshold_uncertainty_score":0.44429407},"labels":[],"label_agreement":null},{"id":"W4319232951","doi":"10.1101/2023.02.01.526489","title":"Mesotrode: chronic simultaneous mesoscale cortical imaging and subcortical or peripheral nerve spiking activity recording in mice","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada; Fondation Leducq; Michael Smith Health Research BC; Heart and Stroke Foundation of Canada","keywords":"Neuroscience; Local field potential; Optogenetics; Electrophysiology; Neuron; Mesoscale meteorology; Connectome; Cortex (anatomy); Premovement neuronal activity; Nerve net; Biology; Psychology; Functional connectivity; Physics","score_opus":0.024502686437913247,"score_gpt":0.2529911413714789,"score_spread":0.22848845493356562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319232951","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943077,0.00013981182,0.0013798914,0.0007274586,0.0020829455,0.00071925396,0.00007981468,0.0005585987,0.000004518149],"genre_scores_gemma":[0.9982284,0.00030659413,0.00047073394,0.00019922949,0.00048686663,0.000105276704,1.9708509e-7,0.00017947941,0.00002327131],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9955172,0.00040207573,0.0006321928,0.0019274693,0.0005030726,0.0010179717],"domain_scores_gemma":[0.9975301,0.0010356099,0.00030888748,0.00069509074,0.00010123468,0.00032906787],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005306547,0.0006472786,0.000717968,0.0003257235,0.0003247092,0.0004849396,0.00046703295,0.0003834083,0.00004277955],"category_scores_gemma":[0.0021885664,0.0006378409,0.00014750366,0.0006282413,0.00027736527,0.0003255659,0.00096631545,0.0018199198,0.00003456574],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001888877,0.000100905265,0.0059167035,0.0002761937,0.00001413075,0.001429696,0.000007869497,0.0008562807,0.99089104,0.0002418218,0.000026509417,0.000049965693],"study_design_scores_gemma":[0.0011850371,0.00020616168,0.07523998,0.0006542324,0.00011312386,0.000001301262,0.0000063161287,0.6268854,0.2937834,0.000015176861,0.0003781944,0.0015316644],"about_ca_topic_score_codex":0.00020878628,"about_ca_topic_score_gemma":0.00007469662,"teacher_disagreement_score":0.6971077,"about_ca_system_score_codex":0.000860861,"about_ca_system_score_gemma":0.0004466704,"threshold_uncertainty_score":0.99960726},"labels":[],"label_agreement":null},{"id":"W4319322259","doi":"10.22541/au.167565800.07181637/v1","title":"Gamma-patterned sensory stimulation reverses synaptic plasticity deficits in rat models of early Alzheimer's disease","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Science Foundation of Henan Province; Zhengzhou University; China Scholarship Council; Science Foundation Ireland; National Natural Science Foundation of China; McGill University","keywords":"Long-term potentiation; Stimulation; Neuroscience; Hippocampal formation; Synaptic plasticity; Hippocampus; Amyloid precursor protein; Alzheimer's disease; Sensory system; Genetically modified mouse; Sensory stimulation therapy; Amyloid (mycology); Medicine; Transgene; Psychology; Internal medicine; Biology; Disease; Pathology; Receptor","score_opus":0.11313134318062379,"score_gpt":0.29232686367970184,"score_spread":0.17919552049907805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319322259","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901215,0.000019048439,0.0073099304,0.0002117373,0.0010364647,0.00074346387,0.00018133334,0.00018215457,0.0001943942],"genre_scores_gemma":[0.99894994,0.000053985048,0.00008221921,0.0001550382,0.00004683055,0.000037627724,0.00003361901,0.000047032096,0.00059372315],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975898,0.00021806758,0.0005499329,0.00087315415,0.0004669755,0.0003020541],"domain_scores_gemma":[0.9984217,0.0007113133,0.00028241813,0.00038368936,0.00007309979,0.00012776529],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014222074,0.00030914543,0.00038453293,0.00034028734,0.00005326655,0.0000643339,0.00026861095,0.00018681565,0.000036166373],"category_scores_gemma":[0.00047121482,0.00029440803,0.00014939687,0.00025225733,0.00008783512,0.00020871301,0.0004622231,0.0004405236,0.000053104057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040679445,0.00013145407,0.0025647006,0.00020332984,0.000022956296,0.00012354631,0.00008537364,0.9594222,0.03424586,0.002302733,0.000058816015,0.0004322747],"study_design_scores_gemma":[0.00031433234,0.000055297038,0.016378805,0.00020850709,0.00009639909,0.0000014641837,0.0000094437155,0.9659723,0.005253582,0.011394653,0.0000017381387,0.0003134914],"about_ca_topic_score_codex":0.00041844678,"about_ca_topic_score_gemma":0.00012319969,"teacher_disagreement_score":0.02899228,"about_ca_system_score_codex":0.000063076026,"about_ca_system_score_gemma":0.000100119556,"threshold_uncertainty_score":0.9999508},"labels":[],"label_agreement":null},{"id":"W4319442588","doi":"10.1101/2023.02.06.527384","title":"Reassessing the Functional Significance of BOLD Variability","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"","keywords":"Psychology; Artifact (error); Independence (probability theory); Cognitive psychology; Neuroscience; Statistics; Mathematics","score_opus":0.043530033213127615,"score_gpt":0.2427864603395335,"score_spread":0.19925642712640587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319442588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9839894,0.000045593068,0.0075667505,0.0011758496,0.005311993,0.00094607775,0.00037401041,0.00055044104,0.00003986371],"genre_scores_gemma":[0.99852353,0.000065999535,0.0003409367,0.0003273306,0.00044807163,0.00017153576,2.1452706e-7,0.000091681024,0.0000306687],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9966263,0.0004777043,0.0005992366,0.0012062461,0.00066180446,0.00042867183],"domain_scores_gemma":[0.9965747,0.0009284798,0.00061072654,0.0014564833,0.00030793838,0.00012167549],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001433377,0.00039484256,0.00041948535,0.00014926697,0.00031650302,0.0002034235,0.0006771381,0.00031220145,0.000041182568],"category_scores_gemma":[0.0022385484,0.0003229793,0.0002054945,0.00082135387,0.00033896678,0.00016050684,0.00057832553,0.0009210014,0.000050188988],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031949046,0.000097030555,0.0026562053,0.00020973153,0.000019842078,0.000012247985,0.0000025427512,0.00067654066,0.9901027,0.005832504,0.0003558843,0.0000028155919],"study_design_scores_gemma":[0.000260335,0.000050545474,0.2959897,0.0002770022,0.00008755938,2.7971932e-8,0.0000020509888,0.0091207875,0.69181794,0.00020676044,0.0015675875,0.0006196914],"about_ca_topic_score_codex":0.00006106963,"about_ca_topic_score_gemma":0.0000017117561,"teacher_disagreement_score":0.29828477,"about_ca_system_score_codex":0.00018330444,"about_ca_system_score_gemma":0.0005417707,"threshold_uncertainty_score":0.9999222},"labels":[],"label_agreement":null},{"id":"W4319602737","doi":"10.1177/09637214221128252","title":"Life Detection From Biological Motion","year":2023,"lang":"en","type":"article","venue":"Current Directions in Psychological Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Biological motion; Motion (physics); Motion detection; Observer (physics); Identification (biology); Psychology; Computer vision; Neurophysiology; Artificial intelligence; Point (geometry); Communication; Computer science; Neuroscience; Biology","score_opus":0.14809711553501126,"score_gpt":0.40196096942771453,"score_spread":0.2538638538927033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319602737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98904395,0.000033819946,0.00155252,0.00046708158,0.006370837,0.00021321142,0.000014428643,0.00053999055,0.0017641765],"genre_scores_gemma":[0.9989243,0.0004973431,0.000029835503,0.00028238574,0.00015463673,0.000067944755,0.0000051030893,0.000005167079,0.000033291562],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99774754,0.00016072666,0.0002661138,0.0010140518,0.00036565957,0.0004458944],"domain_scores_gemma":[0.9991209,0.00029727735,0.00007008151,0.00026464954,0.00003339035,0.00021371176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055697217,0.00013581968,0.00013087066,0.0004133095,0.00048828052,0.00010609473,0.0004025528,0.0000856245,0.00012060546],"category_scores_gemma":[0.004612041,0.00010185395,0.00006511105,0.0053229877,0.00058427744,0.00030740772,0.00012685062,0.0003581127,0.0005739137],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030354235,0.0003230319,0.0049363826,0.0000013904182,4.5363856e-7,0.000006447571,0.00003498667,0.00022268186,0.5686581,0.0017548096,0.0002778637,0.42375347],"study_design_scores_gemma":[0.0005996414,0.00028404678,0.8735865,0.000030319812,0.0000039500856,0.000017136752,0.000058716592,0.042626325,0.032161992,0.03707232,0.01309639,0.00046268495],"about_ca_topic_score_codex":0.000019982279,"about_ca_topic_score_gemma":0.000010709584,"teacher_disagreement_score":0.8686501,"about_ca_system_score_codex":0.00010455931,"about_ca_system_score_gemma":0.000017920898,"threshold_uncertainty_score":0.7376691},"labels":[],"label_agreement":null},{"id":"W4319663005","doi":"10.1523/jneurosci.1220-22.2023","title":"Model-Based Approach Shows ON Pathway Afferents Elicit a Transient Decrease of V1 Responses","year":2023,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Visual cortex; Electrophysiology; Inhibitory postsynaptic potential; Excitatory postsynaptic potential; Darkness; Visual system; Psychology; Stimulus (psychology); Biology; Cognitive psychology","score_opus":0.09729471990029037,"score_gpt":0.2940919479320863,"score_spread":0.19679722803179595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319663005","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99392515,0.000003569755,0.0042240894,0.0005493416,0.0006983981,0.0001615121,0.000041886422,0.00003396863,0.000362099],"genre_scores_gemma":[0.99770373,0.000025214676,0.0001630399,0.001631145,0.00002763267,0.0000039804736,4.766134e-7,0.000017569477,0.00042720334],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974307,0.00024617265,0.00053055194,0.00038911964,0.0010744238,0.0003290252],"domain_scores_gemma":[0.99853367,0.00040839988,0.0004277388,0.00027748672,0.00009061118,0.0002620964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000629433,0.00017221275,0.0002661968,0.0005493581,0.00015620474,0.00006044235,0.0006008162,0.000046879813,0.0000055474047],"category_scores_gemma":[0.0021424845,0.00012917249,0.00020895965,0.0011774942,0.0002205794,0.0002473606,0.000044673503,0.0002874069,0.000005077061],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037200828,0.00029805084,0.00007088674,0.000018011153,5.6621394e-7,0.00008512744,0.00007325325,0.06787622,0.92933106,0.00057645875,0.00010565044,0.0011926772],"study_design_scores_gemma":[0.00070409727,0.0012720036,0.0054412023,0.00005753039,0.000009886929,0.000117897274,0.000020222811,0.7706581,0.22076021,0.0004955396,0.00030641613,0.0001569119],"about_ca_topic_score_codex":0.0000011449514,"about_ca_topic_score_gemma":4.4692345e-7,"teacher_disagreement_score":0.7085709,"about_ca_system_score_codex":0.000038563554,"about_ca_system_score_gemma":0.00025033645,"threshold_uncertainty_score":0.52675015},"labels":[],"label_agreement":null},{"id":"W4319771362","doi":"10.31234/osf.io/6rs8d","title":"Distinguishing neural correlates of prediction errors on perceptual content and detection of content","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Max-Planck-Gesellschaft; European Commission; Leverhulme Trust; Wellcome Trust; Canadian Institute for Advanced Research","keywords":"Content (measure theory); Perception; Neural correlates of consciousness; Artificial intelligence; Computer science; Psychology; Pattern recognition (psychology); Cognitive psychology; Mathematics; Cognition; Neuroscience","score_opus":0.13884484900464755,"score_gpt":0.2712070674578343,"score_spread":0.13236221845318674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319771362","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945303,0.000010835165,0.0008150363,0.00014852866,0.003425108,0.00048882473,0.0001762102,0.00015423917,0.0002508931],"genre_scores_gemma":[0.9989682,0.000057718895,0.000018797782,0.00006341735,0.000059045396,0.000020831432,0.00002477367,0.00002859315,0.00075862627],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99821603,0.00011612767,0.00054511306,0.0005825812,0.00036518468,0.00017494496],"domain_scores_gemma":[0.9987381,0.0003960331,0.00044534827,0.00024251505,0.000117176925,0.000060842427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021181037,0.00022543862,0.00034749994,0.0001850521,0.00009119318,0.00003807816,0.00013927488,0.0001876051,0.0000103196035],"category_scores_gemma":[0.0014318307,0.00018683655,0.00013757996,0.00012226883,0.0001858174,0.00007526395,0.00030908434,0.0004973818,0.0000030193705],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024836182,0.000091323076,0.011134431,0.00022734325,0.000018233895,0.000006125474,0.00039835024,0.0033880393,0.9787649,0.0009107573,0.000029928255,0.004782207],"study_design_scores_gemma":[0.0007301683,0.0014184506,0.32362556,0.00048485276,0.000092723436,0.000026593165,0.0012632615,0.5040726,0.16695873,0.00096464925,0.000011495535,0.00035088233],"about_ca_topic_score_codex":0.0005778037,"about_ca_topic_score_gemma":0.00009002657,"teacher_disagreement_score":0.81180614,"about_ca_system_score_codex":0.00005331807,"about_ca_system_score_gemma":0.000015351507,"threshold_uncertainty_score":0.7618974},"labels":[],"label_agreement":null},{"id":"W4319985090","doi":"10.21203/rs.3.rs-2560175/v1","title":"A fundamental inequality governing the rate coding response of sensory neurons","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inequality; Coding (social sciences); Sensory system; Adaptation (eye); Neural coding; Spike (software development); Psychology; Mathematics; Neuroscience; Computer science; Statistics; Mathematical analysis","score_opus":0.28793382994055944,"score_gpt":0.4347913063923289,"score_spread":0.14685747645176944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319985090","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928682,0.000022131428,0.0000836435,0.0040895515,0.0007560081,0.0009316302,0.00085945113,0.00012543707,0.0002639811],"genre_scores_gemma":[0.99533755,0.00022008199,0.0000100215375,0.00015141576,0.00013252899,0.000089105095,0.000023250328,0.00005429774,0.0039817235],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9895881,0.0070734965,0.0004373545,0.00083152286,0.001446955,0.00062259095],"domain_scores_gemma":[0.9889565,0.009580771,0.00023349644,0.00092424185,0.00019069477,0.00011425702],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.007614573,0.00022041993,0.0002888813,0.00029516572,0.00058038277,0.00023339658,0.0007310121,0.00016153678,0.000055297503],"category_scores_gemma":[0.013366053,0.00016544486,0.00020658471,0.0007129022,0.00046262032,0.00008298482,0.0025517445,0.0022093265,0.00016014105],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014385668,0.000088128116,0.0016955857,0.00063003256,0.000013285452,0.00016926214,0.00064165366,0.0017339977,0.98979837,0.0010344676,0.0023339388,0.00042269795],"study_design_scores_gemma":[0.0023405836,0.0026226188,0.40539908,0.0036190767,0.00007071455,0.000086757784,0.006305353,0.22103481,0.32817802,0.011111283,0.017337142,0.0018945823],"about_ca_topic_score_codex":0.00028350792,"about_ca_topic_score_gemma":0.000038489212,"teacher_disagreement_score":0.6616204,"about_ca_system_score_codex":0.00025307096,"about_ca_system_score_gemma":0.00031641286,"threshold_uncertainty_score":0.9949448},"labels":[],"label_agreement":null},{"id":"W4320723430","doi":"10.1101/2023.02.13.528352","title":"Hyperpolarization-activated cation channels shape the spiking frequency preference of human cortical layer 5 pyramidal neurons","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Ontario Brain Institute; University Health Network","funders":"Krembil Foundation; University of Toronto; Savoy Foundation","keywords":"Neuroscience; In silico; Premovement neuronal activity; Hyperpolarization (physics); Biological neural network; Ion channel; Human brain; Afterhyperpolarization; Nerve net; Electrophysiology; Biology; Physics; Nuclear magnetic resonance; Receptor","score_opus":0.07356930277189425,"score_gpt":0.2598951447361819,"score_spread":0.18632584196428767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320723430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99492353,0.000020332998,0.00095670373,0.0004529736,0.002149342,0.00087877637,0.00014858079,0.00045634553,0.000013428406],"genre_scores_gemma":[0.9990036,0.000052800664,0.000097906865,0.00025864324,0.00029682252,0.00014903788,0.0000013297793,0.00012590249,0.000013988633],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99682504,0.00034539538,0.0006621881,0.0010937653,0.0005864305,0.0004871546],"domain_scores_gemma":[0.99750924,0.00030493407,0.0006192148,0.0010818135,0.0003440946,0.00014070272],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042427887,0.00044318446,0.00040956502,0.00024857605,0.00050978834,0.00026889358,0.0008172313,0.00036581053,0.000042192474],"category_scores_gemma":[0.0013549414,0.00038542118,0.0001363493,0.0009565633,0.00027686372,0.00023499047,0.0005165309,0.0011186501,0.0000414785],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011108422,0.000091619186,0.0032391732,0.000113781374,0.000017622539,0.000012504574,0.000015172837,0.0003555601,0.9879222,0.008202908,0.000016950591,0.000001387597],"study_design_scores_gemma":[0.00019792098,0.000091493086,0.16720279,0.00019808272,0.000065097774,3.8346652e-8,0.000002400513,0.01704729,0.8146139,0.00008335304,0.00004614044,0.00045149072],"about_ca_topic_score_codex":0.00012809996,"about_ca_topic_score_gemma":0.000004703485,"teacher_disagreement_score":0.1733083,"about_ca_system_score_codex":0.00013496811,"about_ca_system_score_gemma":0.00027277775,"threshold_uncertainty_score":0.99985975},"labels":[],"label_agreement":null},{"id":"W4322579692","doi":"10.7554/elife.72951.sa2","title":"Author response: Temporal derivative computation in the dorsal raphe network revealed by an experimentally driven augmented integrate-and-fire modeling framework","year":2022,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Dorsal raphe nucleus; Computation; Computer science; Derivative (finance); Geology; Algorithm; Biology","score_opus":0.07014959839819342,"score_gpt":0.35813200766691133,"score_spread":0.28798240926871793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322579692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68254584,0.013290496,0.05769382,0.2180125,0.012551188,0.012710104,0.0012725097,0.00085855194,0.0010649796],"genre_scores_gemma":[0.8970138,0.0016113721,0.00428959,0.050404575,0.00041713458,0.0012608691,0.0040495074,0.00022651856,0.040726624],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9937721,0.0030229213,0.0007810155,0.0011179105,0.0008415257,0.0004645337],"domain_scores_gemma":[0.9979819,0.0009970255,0.00040187998,0.00045747525,0.00007083487,0.00009087635],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015858157,0.0005181156,0.00062107714,0.00012735106,0.00057516136,0.00022062517,0.00066400674,0.00025755397,0.0003443962],"category_scores_gemma":[0.00065444864,0.00037278244,0.00014597367,0.0010430128,0.00011882391,0.00025028587,0.0002791415,0.0015414243,0.0000044542317],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015822081,0.0004246274,0.00011109108,0.00033316726,0.000039247607,0.0001014319,0.0016781066,0.031316966,0.0038655575,0.000976319,0.9538027,0.0057685534],"study_design_scores_gemma":[0.00054360746,0.0008573546,0.00006302239,0.0015032524,0.000057670426,0.000043421278,0.00097575714,0.8973044,0.000054972348,0.0019088734,0.095937565,0.0007500636],"about_ca_topic_score_codex":0.0002750856,"about_ca_topic_score_gemma":0.000041269097,"teacher_disagreement_score":0.8659875,"about_ca_system_score_codex":0.00022482235,"about_ca_system_score_gemma":0.00013332718,"threshold_uncertainty_score":0.9998724},"labels":[],"label_agreement":null},{"id":"W4322620966","doi":"10.1117/12.2672661","title":"Reinforcing feature distributions of hidden units of Boltzmann machine using correlations","year":2023,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Boltzmann machine; Computer science; Randomness; Encoding (memory); Artificial intelligence; Probabilistic logic; Hebbian theory; Probability distribution; Information theory; Visual cortex; Feature (linguistics); Inference; Machine learning; Theoretical computer science; Artificial neural network; Mathematics; Psychology","score_opus":0.050741386842495975,"score_gpt":0.277968649327968,"score_spread":0.22722726248547204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322620966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886418,0.000006018923,0.0070676357,0.00045259015,0.00032072797,0.00013404251,0.00026203814,0.000092615155,0.0030225087],"genre_scores_gemma":[0.99573165,0.000010054809,0.00018092444,0.000034743225,0.00001625551,0.0000013010274,0.000071001516,0.000006743677,0.0039473143],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999411,0.000027006812,0.00016720846,0.00012558482,0.00014872561,0.00012049759],"domain_scores_gemma":[0.9994735,0.00017162664,0.00010292215,0.00014973912,0.00007168866,0.00003052326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007525827,0.000063384345,0.00009965101,0.00011810068,0.00012821423,0.000009467667,0.00008904312,0.00004209469,0.00003684389],"category_scores_gemma":[0.00045301783,0.00005380959,0.000039118742,0.0014197837,0.00005529026,0.000119602766,0.000063881365,0.00009929992,0.000009458428],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012700746,0.00001760645,0.0020492096,0.000027302864,0.0000044015674,0.0000038243393,0.000064505875,0.0059635546,0.92240506,0.06690933,0.0014683658,0.0010741298],"study_design_scores_gemma":[0.00030742917,0.00010082612,0.010877149,0.000054686665,0.000029060277,0.000020745356,0.0000825215,0.77539736,0.21001348,0.0017259662,0.0012420154,0.0001487527],"about_ca_topic_score_codex":0.00007058107,"about_ca_topic_score_gemma":0.000015119142,"teacher_disagreement_score":0.7694338,"about_ca_system_score_codex":0.00001639745,"about_ca_system_score_gemma":0.000031707776,"threshold_uncertainty_score":0.21942914},"labels":[],"label_agreement":null},{"id":"W4322627142","doi":"10.1016/j.neuroimage.2023.119998","title":"Coherence fails to reliably capture inter-areal interactions in bidirectional neural systems with transmission delays","year":2023,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"European Research Council; Bundesministerium für Bildung und Forschung; European Commission","keywords":"Coherence (philosophical gambling strategy); Computer science; Computation; Transmission (telecommunications); Causality (physics); Artifact (error); Artificial intelligence; Algorithm; Distributed computing; Telecommunications; Physics; Mathematics; Statistics","score_opus":0.036763102033630125,"score_gpt":0.27796957920635484,"score_spread":0.24120647717272473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322627142","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899987,0.0000048749475,0.0015294937,0.0030915868,0.0015639294,0.00058099517,0.000048647325,0.0003982912,0.0027834799],"genre_scores_gemma":[0.99570096,0.000008701412,0.000046387457,0.0009807718,0.000074594755,0.00008566408,0.0000145297245,0.00003772779,0.0030506896],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99819213,0.00016247208,0.00027464522,0.0006615313,0.0003321529,0.00037703785],"domain_scores_gemma":[0.9992133,0.00026699426,0.00006828467,0.0002481245,0.00004851103,0.00015482998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011515193,0.00020855207,0.00018672591,0.00037139142,0.00016309452,0.000200881,0.000228174,0.000042541902,0.00004506357],"category_scores_gemma":[0.00014318271,0.00016998388,0.000054903358,0.0013989719,0.000049238104,0.0004851431,0.00006123057,0.00045303575,0.00018773584],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002876538,0.000093741335,0.0012371995,0.000040787723,0.000002516916,0.00053490273,0.0003074433,0.01578439,0.9701312,0.00014467881,0.0065838317,0.004851651],"study_design_scores_gemma":[0.0028315464,0.0020842783,0.10027024,0.0007781516,0.000045500674,0.0019696045,0.0009057217,0.74126923,0.058098897,0.00026288,0.089747846,0.0017360882],"about_ca_topic_score_codex":0.000361348,"about_ca_topic_score_gemma":0.00019537417,"teacher_disagreement_score":0.9120323,"about_ca_system_score_codex":0.00006515742,"about_ca_system_score_gemma":0.000034280936,"threshold_uncertainty_score":0.6931741},"labels":[],"label_agreement":null},{"id":"W4322720140","doi":"10.1007/s10827-023-00845-z","title":"Adaptive unscented Kalman filter for neuronal state and parameter estimation","year":2023,"lang":"en","type":"article","venue":"Journal of Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Kalman filter; Ensemble Kalman filter; Computer science; Extended Kalman filter; Control theory (sociology); Invariant extended Kalman filter; Robustness (evolution); Unscented transform; Alpha beta filter; Adaptive filter; Fast Kalman filter; Kernel adaptive filter; Residual; Benchmark (surveying); Covariance; Filter (signal processing); Algorithm; Mathematics; Filter design; Artificial intelligence; Moving horizon estimation; Statistics; Computer vision","score_opus":0.05339354321204616,"score_gpt":0.29773682576778077,"score_spread":0.24434328255573462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322720140","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8646325,0.0000028304694,0.13262068,0.0016213403,0.00086556637,0.00018079164,0.000034438526,0.000023756003,0.00001809283],"genre_scores_gemma":[0.9949242,0.000014990948,0.0028335075,0.0020121466,0.00004769072,0.000004153295,0.0000022304162,0.000011166951,0.00014990178],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986156,0.00008177891,0.00034384505,0.00025794495,0.00049754995,0.00020326105],"domain_scores_gemma":[0.99823976,0.0011358127,0.00031537836,0.000057701374,0.00015045254,0.00010087645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028110968,0.0001086111,0.00013543473,0.0002582571,0.00020714338,0.00011744792,0.00017425735,0.000018891944,0.0000048863762],"category_scores_gemma":[0.0010362362,0.000091034235,0.000070932496,0.00050682295,0.00020235348,0.00051931915,0.000050204246,0.0001382197,0.0000071203667],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003152647,0.00009357802,0.0002558037,0.000023478997,0.0000030746733,0.000056710167,0.00012315388,0.817443,0.15372896,0.008052754,0.0017745772,0.018129626],"study_design_scores_gemma":[0.00044187275,0.00056960306,0.031420093,0.00001526219,0.0000055132064,0.00016754883,0.0000048046772,0.9093937,0.0028567475,0.05472534,0.0003112167,0.00008827519],"about_ca_topic_score_codex":3.686122e-7,"about_ca_topic_score_gemma":1.8375093e-7,"teacher_disagreement_score":0.15087222,"about_ca_system_score_codex":0.0000180024,"about_ca_system_score_gemma":0.000065329245,"threshold_uncertainty_score":0.37122682},"labels":[],"label_agreement":null},{"id":"W4322722366","doi":"10.1016/j.celrep.2023.112200","title":"Thalamic control of sensory processing and spindles in a biophysical somatosensory thalamoreticular circuit model of wakefulness and sleep","year":2023,"lang":"en","type":"article","venue":"Cell Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"Horizon 2020; Horizon 2020 Framework Programme; HORIZON EUROPE Framework Programme; Board of the Swiss Federal Institutes of Technology; Ministerio de Ciencia e Innovación; Wenzhou Medical University; École Polytechnique Fédérale de Lausanne; European Commission; Krembil Foundation; Agencia Estatal de Investigación; Ministerio de Ciencia, Innovación y Universidades","keywords":"Thalamic reticular nucleus; Wakefulness; Neuroscience; Thalamus; Somatosensory system; Sensory system; Arousal; Sleep spindle; Sensory processing; Sleep (system call); Reticular activating system; Psychology; Biology; Nucleus; Electroencephalography; Reticular formation; Computer science; Slow-wave sleep","score_opus":0.02497877933152888,"score_gpt":0.2283126157491798,"score_spread":0.2033338364176509,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322722366","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990072,0.000058905272,0.0003147422,0.000030557967,0.00006092988,0.00020558403,0.0000059158656,0.000031160645,0.00028499993],"genre_scores_gemma":[0.9998204,0.00002706143,0.000012391454,0.00002776384,0.000010152074,0.0000083431105,0.0000013779867,0.000015531448,0.00007699445],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99887514,0.00004316601,0.00034085967,0.00036414425,0.0002043774,0.00017233536],"domain_scores_gemma":[0.999425,0.000089561705,0.00024419426,0.00016720543,0.000031268835,0.000042778778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016803957,0.000113842914,0.00025882435,0.00013076916,0.00004129917,0.000015585905,0.000037254806,0.0000608024,8.725723e-7],"category_scores_gemma":[0.00011417503,0.000100773024,0.000038234622,0.00021867291,0.00021539161,0.000091195594,0.0000420846,0.00009390948,4.1893375e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010534241,0.000049766943,0.0049646725,0.0002595191,0.0000015516067,0.00029823885,0.00014652184,0.0024924784,0.99017024,0.0002599125,9.870884e-7,0.0013455633],"study_design_scores_gemma":[0.0002442664,0.000030502782,0.0070017558,0.0000520582,0.000013646928,0.000123998,0.00004574634,0.4340647,0.5551493,0.0031801173,0.0000010541054,0.000092859045],"about_ca_topic_score_codex":0.0000063332463,"about_ca_topic_score_gemma":0.0000010664776,"teacher_disagreement_score":0.43502092,"about_ca_system_score_codex":0.000008005221,"about_ca_system_score_gemma":0.00002837548,"threshold_uncertainty_score":0.41094047},"labels":[],"label_agreement":null},{"id":"W4322762302","doi":"10.1038/s41467-023-36608-8","title":"Expectation violations enhance neuronal encoding of sensory information in mouse primary visual cortex","year":2023,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Centre of Excellence for Integrative Brain Function, Australian Research Council; National Health and Medical Research Council; Nvidia; Australian Research Council; Canadian Institute for Advanced Research; Medical Research Council; Department of Education and Training","keywords":"Visual cortex; Neuroscience; Calcium imaging; Stimulus (psychology); Sensory system; Population; Photic Stimulation; Predictability; Surround suppression; Psychology; Biology; Visual perception; Chemistry; Cognitive psychology; Physics; Medicine; Perception; Calcium","score_opus":0.02759667773338389,"score_gpt":0.31578204930087855,"score_spread":0.2881853715674947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322762302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953517,0.0000302549,0.00021060147,0.0010757945,0.00020353709,0.00026777992,0.000054908258,0.00014061936,0.0026648252],"genre_scores_gemma":[0.9983507,0.000359208,0.00030902342,0.00051333377,0.000015135029,0.000039269336,0.00023968735,0.000009084821,0.0001645774],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99895906,0.00016850317,0.00035147404,0.00014372259,0.0002362647,0.00014094319],"domain_scores_gemma":[0.9984682,0.0007109042,0.0001916506,0.0005103991,0.00008942632,0.000029420686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017062898,0.00008936549,0.00010951148,0.0003886571,0.00020233949,0.000030169624,0.0003859726,0.00012131753,0.000006806245],"category_scores_gemma":[0.0007223994,0.00009532197,0.000045031247,0.0010563601,0.000084764,0.0006782859,0.00017464157,0.00054903014,0.000042237643],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016209033,0.00007009836,0.0014066637,0.0000152127795,0.000001655848,4.3358276e-7,0.00047200161,0.0005398173,0.98739743,0.006760902,0.0001933074,0.0031262494],"study_design_scores_gemma":[0.0008222411,0.00015221912,0.4795184,0.0000834709,0.000016829063,0.000011905833,0.00079949497,0.29155967,0.22022183,0.0008849849,0.0054378305,0.00049113325],"about_ca_topic_score_codex":0.000010647916,"about_ca_topic_score_gemma":0.000063446554,"teacher_disagreement_score":0.7671756,"about_ca_system_score_codex":0.00006375228,"about_ca_system_score_gemma":0.00004976935,"threshold_uncertainty_score":0.38871172},"labels":[],"label_agreement":null},{"id":"W4323075331","doi":"10.31234/osf.io/tswpa","title":"Neural Networks Need Real-World Behavior","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Parallels; Task (project management); Computer science; Artificial intelligence; Deep neural networks; Artificial neural network; Object (grammar); Cognitive science; Path (computing); Cognitive neuroscience of visual object recognition; Human–computer interaction; Psychology; Engineering","score_opus":0.07639339179409477,"score_gpt":0.30924165809407766,"score_spread":0.2328482662999829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323075331","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9304607,0.000012163858,0.0024313398,0.0040991763,0.027282195,0.0021572148,0.000114082155,0.0034089212,0.030034207],"genre_scores_gemma":[0.9305587,0.00012916945,0.00006139303,0.0013560015,0.00060163636,0.00019192407,0.00007926037,0.00009238444,0.06692952],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99765444,0.0001203568,0.0003905582,0.0010065961,0.00035444467,0.00047360652],"domain_scores_gemma":[0.99868065,0.0002597308,0.00018456866,0.0006984243,0.00003679154,0.00013985884],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015195091,0.00034994906,0.00032404254,0.00026263073,0.00016234584,0.00025866285,0.000533176,0.00023292922,0.00020517726],"category_scores_gemma":[0.00010333107,0.00030642853,0.00023561787,0.0004919307,0.000080451355,0.00008627788,0.0011485748,0.0010475098,0.00015826442],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042659586,0.0010814128,0.043122035,0.00044408545,0.000072423274,0.0028969422,0.00019584935,0.5037404,0.15080787,0.07236293,0.13967769,0.085171774],"study_design_scores_gemma":[0.00022750636,0.00006669087,0.029627403,0.000036107453,0.00006455473,0.000013303856,0.000009811113,0.964666,0.0017288175,0.0019990527,0.00090853067,0.00065219804],"about_ca_topic_score_codex":0.00095613784,"about_ca_topic_score_gemma":0.0008245761,"teacher_disagreement_score":0.46092564,"about_ca_system_score_codex":0.000078730685,"about_ca_system_score_gemma":0.000031416625,"threshold_uncertainty_score":0.9999388},"labels":[],"label_agreement":null},{"id":"W4323637127","doi":"10.1126/sciadv.ade7996","title":"A cortical zoom-in operation underlies covert shifts of visual spatial attention","year":2023,"lang":"en","type":"article","venue":"Science Advances","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Wilson Centre; York University; University of Toronto","funders":"Deutsche Forschungsgemeinschaft","keywords":"Visual cortex; Focus (optics); Receptive field; Computer science; Covert; Coding (social sciences); Visual spatial attention; Neuroscience; Visual perception; Psychology; Artificial intelligence; Perception; Physics; Mathematics; Optics","score_opus":0.025870448285337428,"score_gpt":0.32334296947449304,"score_spread":0.2974725211891556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323637127","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99686414,0.000007751432,0.0015603667,0.00030275516,0.00074306765,0.0001329057,0.000002822992,0.00004816571,0.00033801424],"genre_scores_gemma":[0.99963397,0.000028897717,0.00004298748,0.00011134803,0.00002706786,0.0000125273045,0.0000023123434,0.0000040440077,0.00013683124],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99867237,0.000046055327,0.00019798559,0.00035536828,0.00048656182,0.00024164314],"domain_scores_gemma":[0.99963206,0.0001384511,0.000062300016,0.000094830924,0.00003162532,0.000040729006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036900374,0.00006990298,0.0000959396,0.00021247461,0.00019494396,0.000058191763,0.00017764725,0.000020541502,0.000019073674],"category_scores_gemma":[0.00059033866,0.000058974638,0.000025636227,0.0012687177,0.00048325185,0.0009394159,0.00006552548,0.00007605733,0.00005308523],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002305051,0.000038731458,0.0028985252,0.0000089162095,1.8379872e-7,0.0000044654716,0.00013032081,0.001330231,0.9822733,0.0021056198,0.0000057151456,0.011180966],"study_design_scores_gemma":[0.00053257926,0.0006008258,0.22086027,0.00005509874,0.000004065251,0.0000061876003,0.0009976138,0.25170922,0.5194696,0.0053208787,0.0001962458,0.00024739304],"about_ca_topic_score_codex":0.000023899669,"about_ca_topic_score_gemma":0.00010942976,"teacher_disagreement_score":0.46280366,"about_ca_system_score_codex":0.000037415008,"about_ca_system_score_gemma":0.000068520174,"threshold_uncertainty_score":0.2404916},"labels":[],"label_agreement":null},{"id":"W4323660526","doi":"10.1016/j.neuron.2023.02.014","title":"Neural knowledge assembly in humans and neural networks","year":2023,"lang":"en","type":"article","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Economic and Social Research Council; Canadian Institute for Advanced Research; Medical Research Council; Universidad de Granada; University of Oxford; Wellcome Trust","keywords":"Artificial neural network; Computer science; Dorsum; Transitive relation; Neural activity; Artificial intelligence; Cognitive science; Psychology; Neuroscience; Biology; Mathematics","score_opus":0.038524900576060644,"score_gpt":0.2820258323564316,"score_spread":0.24350093178037094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323660526","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99572486,0.000029529469,0.00001865498,0.0007847211,0.0012800263,0.00018864889,0.0000030677638,0.0002318249,0.0017386908],"genre_scores_gemma":[0.9974647,0.000075414144,0.0000014468219,0.0009363418,0.00014669128,0.00001529156,0.0000045094393,0.000029837263,0.0013257655],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985852,0.00016137438,0.0001935114,0.00051442435,0.00013732648,0.00040816146],"domain_scores_gemma":[0.9993741,0.00029272097,0.000045030327,0.0001964337,0.000010709125,0.00008104109],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012461451,0.0001597251,0.00014753375,0.00018573154,0.00014148165,0.00009039326,0.00016190796,0.00006365735,0.000012919335],"category_scores_gemma":[0.00016080734,0.00015002923,0.00004287185,0.0007241291,0.00006451849,0.00020966302,0.000153458,0.0003255889,0.000039906947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019440513,0.00026504332,0.033879302,0.00009194368,0.000003356357,0.0009246903,0.00054779777,0.034828693,0.81544846,0.0055664587,0.00799478,0.100255065],"study_design_scores_gemma":[0.00035129642,0.00016246866,0.13523735,0.0000067543024,0.0000030147262,0.000018722249,0.000009660876,0.86180335,0.00080086885,0.00012979792,0.0013213386,0.00015535607],"about_ca_topic_score_codex":0.000015216352,"about_ca_topic_score_gemma":0.000084922554,"teacher_disagreement_score":0.8269747,"about_ca_system_score_codex":0.000016824562,"about_ca_system_score_gemma":0.00000653643,"threshold_uncertainty_score":0.61180145},"labels":[],"label_agreement":null},{"id":"W4323666459","doi":"10.31234/osf.io/zn75q","title":"As without, so within: How the brain’s temporospatial alignment to the environment shapes consciousness","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Royal Ottawa Mental Health Centre; University of Ottawa","funders":"","keywords":"Consciousness; Neuroscience; Psychology; Entrainment (biomusicology); Brain activity and meditation; Layer (electronics); Premovement neuronal activity; Cognitive psychology; Cognitive science; Communication; Physics; Electroencephalography; Chemistry","score_opus":0.04101100410694956,"score_gpt":0.2611486469332075,"score_spread":0.22013764282625795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323666459","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4156952,0.00003616508,0.0072815875,0.5600187,0.009321049,0.0053120754,0.00023349833,0.00059313053,0.001508556],"genre_scores_gemma":[0.931706,0.000082388695,0.00007342482,0.023553068,0.00038460776,0.00038701363,0.000017533956,0.00008176424,0.043714184],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99638563,0.00037532992,0.0003827741,0.0012836409,0.0011010037,0.00047159052],"domain_scores_gemma":[0.99780124,0.00064750103,0.00030480235,0.0010679169,0.000023737162,0.00015477813],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00082180934,0.0004897174,0.00034109486,0.0000756057,0.0008282767,0.0008763067,0.0012956536,0.00018649742,0.0001905917],"category_scores_gemma":[0.0004568084,0.00024853484,0.00020059633,0.00015966239,0.00036410196,0.000069224014,0.0023329346,0.00072929816,0.00082303805],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005359403,0.000743941,0.0033042426,0.0003448142,0.0003650333,0.00033812705,0.013873713,0.25953358,0.39098412,0.07096043,0.2400574,0.018958647],"study_design_scores_gemma":[0.0018511502,0.0015095518,0.0097792065,0.00047584483,0.00033653385,0.00018983976,0.0032499644,0.1897488,0.10902373,0.042660978,0.63711476,0.0040596565],"about_ca_topic_score_codex":0.0005832464,"about_ca_topic_score_gemma":0.0005174836,"teacher_disagreement_score":0.53646564,"about_ca_system_score_codex":0.00015832706,"about_ca_system_score_gemma":0.00014097364,"threshold_uncertainty_score":0.99999666},"labels":[],"label_agreement":null},{"id":"W4323804505","doi":"10.1093/cercor/bhad034","title":"Enhanced neural mechanisms of set shifting in musically trained adolescents and young adults: converging fMRI, EEG, and behavioral evidence","year":2023,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Jenny ja Antti Wihurin Rahasto; Academy of Finland","keywords":"Psychology; Neural correlates of consciousness; Set (abstract data type); P3b; Task (project management); Executive functions; Audiology; Electroencephalography; Scalp; Working memory; Cognitive psychology; Event-related potential; Developmental psychology; Neuroscience; Cognition; Medicine; Computer science","score_opus":0.03653947141521306,"score_gpt":0.2820188074676268,"score_spread":0.24547933605241373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323804505","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99873245,0.000013102336,0.00021251671,0.00016052042,0.0004271018,0.00032331332,0.000019720368,0.00009013701,0.000021132395],"genre_scores_gemma":[0.99953294,0.00003524042,0.00004324406,0.00025724253,0.000022196691,0.000012863332,0.000006655512,0.000021413063,0.00006819092],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99839205,0.000096909265,0.00033623807,0.00055551855,0.00026444835,0.00035482424],"domain_scores_gemma":[0.9994612,0.000112342495,0.00013837386,0.0001544081,0.000032143864,0.00010153609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019170184,0.00018061488,0.00024230797,0.00015676662,0.00010630871,0.00005960896,0.0001492254,0.00007258427,0.000013522765],"category_scores_gemma":[0.0002736601,0.000173781,0.000042834286,0.0004933883,0.00011948129,0.00038053867,0.00017123624,0.00021779088,0.0000038556],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001612337,0.000031876745,0.013292589,0.00012465015,0.0000012230345,0.00004813231,0.0009498954,0.000010388982,0.9764235,0.00051035354,0.0000075046114,0.008438662],"study_design_scores_gemma":[0.0020004383,0.0006429505,0.7845563,0.0009898971,0.000025216123,0.000051862073,0.0008261623,0.14554986,0.06347808,0.0014193652,0.000001651757,0.0004581806],"about_ca_topic_score_codex":0.00011045559,"about_ca_topic_score_gemma":0.00016914085,"teacher_disagreement_score":0.9129454,"about_ca_system_score_codex":0.000024531257,"about_ca_system_score_gemma":0.000018649482,"threshold_uncertainty_score":0.7086583},"labels":[],"label_agreement":null},{"id":"W4324077718","doi":"10.3389/fncom.2023.1040629","title":"A survey of neurophysiological differentiation across mouse visual brain areas and timescales","year":2023,"lang":"en","type":"article","venue":"Frontiers in Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"Natural Sciences and Engineering Research Council of Canada; Tiny Blue Dot Foundation","keywords":"Visual cortex; Neuroscience; Stimulus (psychology); Neurophysiology; Perception; Visual perception; Psychology; Population; Brain activity and meditation; Thalamus; Electroencephalography; Cognitive psychology; Medicine","score_opus":0.039300097659260014,"score_gpt":0.30253601343584857,"score_spread":0.26323591577658856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4324077718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9876295,0.000005089739,0.010963317,0.00035106076,0.0007103109,0.00016066364,0.00010168945,0.00006915357,0.000009247345],"genre_scores_gemma":[0.9989578,0.000021868222,0.00015600762,0.0006559009,0.000012654063,0.00000722981,0.000032752778,0.000010550786,0.00014523279],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99814117,0.00032965658,0.00027834726,0.00057319214,0.0003951447,0.0002824678],"domain_scores_gemma":[0.9989258,0.0007400994,0.0001223779,0.00009637684,0.000047309142,0.00006804757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032224195,0.0001307703,0.00019103196,0.00018445696,0.00016883205,0.0000665423,0.00021685677,0.000043640546,0.0000016753884],"category_scores_gemma":[0.0017908128,0.000119061355,0.000032824693,0.0013180927,0.00041513826,0.00021496542,0.00018109781,0.0001398243,0.0000040120985],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018953749,0.00028335507,0.19498177,0.000040201994,0.0000016187444,0.000038227277,0.00016117228,0.12097065,0.6724546,0.0008288737,0.0018576547,0.00819232],"study_design_scores_gemma":[0.00014783049,0.00008349607,0.5382701,0.0000035492662,4.3304638e-7,0.0000027513158,0.000006256178,0.45931667,0.0010398551,0.0010543887,0.000010599772,0.000064042404],"about_ca_topic_score_codex":0.000020010953,"about_ca_topic_score_gemma":0.0000061659825,"teacher_disagreement_score":0.6714148,"about_ca_system_score_codex":0.00001682608,"about_ca_system_score_gemma":0.000028105347,"threshold_uncertainty_score":0.4855181},"labels":[],"label_agreement":null},{"id":"W4324089356","doi":"10.1101/2023.03.11.532146","title":"Neural manifolds and learning regimes in neural-interface tasks","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Institut de Valorisation des Données; Simons Foundation","keywords":"Artificial neural network; Brain–computer interface; Manifold (fluid mechanics); Adaptation (eye); Dimension (graph theory); Artificial intelligence; Computer science; Neuroscience; Psychology; Mathematics; Electroencephalography","score_opus":0.02678243928580918,"score_gpt":0.24207410934047796,"score_spread":0.2152916700546688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4324089356","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994708,0.0003118279,0.00014256452,0.0011066938,0.0022794262,0.00060156995,0.000064737644,0.0007673096,0.000017881002],"genre_scores_gemma":[0.99841905,0.00036808578,0.00014069027,0.000414107,0.00023578898,0.000085689164,2.3043802e-7,0.00017679784,0.00015953605],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99620205,0.00044437198,0.0005526031,0.0016711334,0.00041207878,0.0007177862],"domain_scores_gemma":[0.9982197,0.00032732106,0.00037471106,0.00077018485,0.00009093637,0.00021712431],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00057156984,0.0006002915,0.00054984516,0.00047647284,0.00025995853,0.00046629863,0.00054715207,0.00042508898,0.00001733452],"category_scores_gemma":[0.0010018408,0.0006344426,0.0001210248,0.0007092708,0.00015644144,0.0002768577,0.0010550891,0.0020004744,0.000074993884],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005257149,0.000055819564,0.0062062866,0.00027133152,0.0000130925355,0.00035662582,0.000018181685,0.0036453975,0.98865545,0.00050660083,0.00020483047,0.000013838223],"study_design_scores_gemma":[0.00146576,0.00037529558,0.29322147,0.0008860856,0.00011858539,5.993045e-7,0.000017335356,0.3488651,0.34884575,0.00003289704,0.0035706772,0.0026004426],"about_ca_topic_score_codex":0.00014973125,"about_ca_topic_score_gemma":0.000011121715,"teacher_disagreement_score":0.63980967,"about_ca_system_score_codex":0.00015524562,"about_ca_system_score_gemma":0.00009304844,"threshold_uncertainty_score":0.99961066},"labels":[],"label_agreement":null},{"id":"W4327756816","doi":"10.1016/j.cognition.2023.105439","title":"What sticks after statistical learning: The persistence of implicit versus explicit memory traces","year":2023,"lang":"en","type":"article","venue":"Cognition","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Psychology; Implicit learning; Cognitive psychology; Dissociation (chemistry); Statistical learning; Sequence learning; Popularity; Cognitive science; Implicit memory; Statistical hypothesis testing; Unconscious mind; Construct (python library); Cognition; Social psychology; Artificial intelligence; Computer science; Neuroscience","score_opus":0.06490802562217221,"score_gpt":0.28867484127049486,"score_spread":0.22376681564832265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4327756816","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99673676,0.000022331138,0.0003966172,0.0005781207,0.00072942016,0.0001629203,0.000021180967,0.000081863676,0.0012708065],"genre_scores_gemma":[0.9990067,0.00013376786,0.0000064670576,0.00024312093,0.00005913462,0.000045342178,0.000023150384,0.00001077488,0.00047156445],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99910915,0.000104750114,0.00013605543,0.00023866346,0.00023916717,0.0001722023],"domain_scores_gemma":[0.9987911,0.0009551395,0.000061681014,0.000108985136,0.00004682285,0.000036281803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013836594,0.00008278253,0.00008492319,0.00005560356,0.0001438551,0.000081626575,0.000095960975,0.000037014408,0.00015540975],"category_scores_gemma":[0.0006559737,0.00006159655,0.000045963137,0.00028282998,0.00011570372,0.0002592576,0.00004437475,0.00014991408,0.00016575698],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012301975,0.0001020186,0.00013494585,0.00010304893,0.000017271032,0.00007537759,0.0016301069,0.00036760184,0.9263917,0.0022892808,0.000966718,0.06669174],"study_design_scores_gemma":[0.0053114262,0.0028728428,0.084438324,0.0005149702,0.000518112,0.0001047847,0.028220775,0.1706469,0.6818354,0.019592388,0.004567371,0.001376657],"about_ca_topic_score_codex":0.0000017313445,"about_ca_topic_score_gemma":0.0000040210543,"teacher_disagreement_score":0.24455625,"about_ca_system_score_codex":0.0000124873295,"about_ca_system_score_gemma":0.000012332166,"threshold_uncertainty_score":0.25118342},"labels":[],"label_agreement":null},{"id":"W4327860821","doi":"10.1101/2023.03.17.533173","title":"Structured connectivity in the output of the cerebellar cortex","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Canada First Research Excellence Fund; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Neuroscience; Cerebellum; Optogenetics; Cerebellar cortex; Deep cerebellar nuclei; Purkinje cell; Nucleus; Biology","score_opus":0.030123141693355854,"score_gpt":0.23050379777790797,"score_spread":0.2003806560845521,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4327860821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947027,0.00003567716,0.00008430176,0.00087696494,0.0029382792,0.0009444278,0.00027152328,0.00013327274,0.000012856308],"genre_scores_gemma":[0.99906266,0.00005738269,0.00003365094,0.0005399608,0.00016033842,0.00006732805,7.650976e-8,0.00006508394,0.000013504418],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9971873,0.00055007724,0.00043748054,0.0008593283,0.00058180146,0.00038396736],"domain_scores_gemma":[0.9973788,0.00043833893,0.00047624556,0.0015303694,0.00011845666,0.00005774036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072651583,0.00035489726,0.00038523768,0.00015448782,0.00018951004,0.00013249762,0.0012255404,0.00030704436,0.000009207143],"category_scores_gemma":[0.0012620359,0.00023324444,0.00018750149,0.0009844322,0.000224633,0.00007674345,0.0006600496,0.001028562,0.00001683758],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018619632,0.000061967854,0.0071593313,0.00013013842,0.000011769298,0.00002363237,0.000019145053,0.00030823148,0.9893988,0.002684191,0.00018232597,0.0000018986311],"study_design_scores_gemma":[0.00027166482,0.000032052347,0.65404177,0.00013604332,0.00003419324,3.158635e-8,0.000004645157,0.0022343388,0.34213397,0.00008779947,0.00070326054,0.00032026618],"about_ca_topic_score_codex":0.00012104455,"about_ca_topic_score_gemma":0.000042015134,"teacher_disagreement_score":0.6472648,"about_ca_system_score_codex":0.00011600001,"about_ca_system_score_gemma":0.000249249,"threshold_uncertainty_score":0.9511432},"labels":[],"label_agreement":null},{"id":"W4353004537","doi":"10.2139/ssrn.4384135","title":"Lactate's Behavioral Switch in the Brain: An In-Silico Model","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Extracellular; Astrocyte; Neuroscience; Chemistry; Biophysics; In silico; Biology; Cell biology; Central nervous system; Biochemistry","score_opus":0.040772199494735664,"score_gpt":0.30693691274366397,"score_spread":0.2661647132489283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4353004537","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947201,0.000019451229,0.0001574902,0.004545048,0.00013795569,0.00013593216,0.0000019128438,0.00003758386,0.00024452712],"genre_scores_gemma":[0.99780643,0.00036753132,0.000003279722,0.0009715147,0.000076994744,0.000010702251,0.0000028893442,0.000018875553,0.0007417558],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973758,0.00021221094,0.00023114837,0.00026084838,0.00032322732,0.0015967742],"domain_scores_gemma":[0.999596,0.00010045308,0.00006785283,0.00017654532,0.000013912578,0.00004523272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016821563,0.00012222436,0.00011160134,0.00024447285,0.00016573546,0.00010261783,0.00043351832,0.00005504671,0.0000052497285],"category_scores_gemma":[0.00008025955,0.00008740453,0.00005880947,0.00082285743,0.00003441521,0.00035676756,0.000034214805,0.001791199,0.000031594605],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002594869,0.00070798583,0.009382622,0.000007696481,0.0000058768446,0.00028590782,0.0023201443,0.026144557,0.677332,0.22922473,0.00042722007,0.05390176],"study_design_scores_gemma":[0.0016662291,0.0011166736,0.013181103,0.000018993478,0.00001066283,0.0010998487,0.002831831,0.37237585,0.0016482057,0.60528225,0.00035461155,0.00041378094],"about_ca_topic_score_codex":0.00007263599,"about_ca_topic_score_gemma":0.004071674,"teacher_disagreement_score":0.6756838,"about_ca_system_score_codex":0.00031343912,"about_ca_system_score_gemma":0.00046518567,"threshold_uncertainty_score":0.77819675},"labels":[],"label_agreement":null},{"id":"W4353007778","doi":"10.5281/zenodo.7757458","title":"Theta-and gamma-band oscillatory uncoupling in the macaque hippocampus","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Hippocampus; Macaque; Neuroscience; Physics; Psychology","score_opus":0.062014964368879585,"score_gpt":0.26146376814667177,"score_spread":0.19944880377779217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4353007778","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95476294,0.000023959015,0.00010256788,0.0024722,0.00016895779,0.00040207148,0.000047254456,0.00052511756,0.04149491],"genre_scores_gemma":[0.99821997,0.0001434322,0.0000046481528,0.00051781983,0.00006684496,5.9378554e-8,0.00006730709,0.00034394622,0.00063595653],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985136,0.00033411445,0.00016556735,0.00037629294,0.00032052092,0.00028989647],"domain_scores_gemma":[0.99942005,0.00012218552,0.000054673375,0.00027878425,0.000060663817,0.00006361853],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007951638,0.00010062487,0.00009206937,0.00020286655,0.0013451172,0.0005433664,0.0005453024,0.000040437328,0.0006186211],"category_scores_gemma":[0.0008722718,0.000078140016,0.00003151804,0.0008983574,0.00014342173,0.0001599159,0.00036040205,0.00026381586,0.0021234304],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019884047,0.00021170196,0.00013295139,0.0001796185,0.000024561328,0.0003043514,0.0063477335,0.001803199,0.6146843,0.038818862,0.11096711,0.22632678],"study_design_scores_gemma":[0.000796565,0.00027271488,0.0049366117,0.000036639223,0.000013744039,0.00033164927,0.0007978934,0.014259906,0.00471877,0.008465545,0.96504635,0.0003235983],"about_ca_topic_score_codex":0.000007728813,"about_ca_topic_score_gemma":7.7531615e-7,"teacher_disagreement_score":0.85407925,"about_ca_system_score_codex":0.000044818476,"about_ca_system_score_gemma":0.0000021704627,"threshold_uncertainty_score":0.999955},"labels":[],"label_agreement":null},{"id":"W4353055589","doi":"10.1038/s41586-023-05813-2","title":"Population dynamics of head-direction neurons during drift and reorientation","year":2023,"lang":"en","type":"article","venue":"Nature","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"","keywords":"Population; Landmark; Neuroscience; Orientation (vector space); Sensory cue; Psychology; Physics; Communication; Computer science; Artificial intelligence; Geometry; Mathematics","score_opus":0.011446379557210729,"score_gpt":0.27422119947372453,"score_spread":0.2627748199165138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4353055589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99788153,0.000008193273,0.000021487012,0.0007863368,0.0007926933,0.00010811316,0.000017642767,0.00012433587,0.00025967936],"genre_scores_gemma":[0.9991973,0.000045797773,0.000019004372,0.000116548705,0.000044038447,0.0000032339572,0.000048304297,0.000010079805,0.0005157058],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99938303,0.000040094146,0.00010817363,0.0002103702,0.0001600376,0.00009828823],"domain_scores_gemma":[0.9997363,0.00006283351,0.00006767409,0.0000874836,0.000021895365,0.000023813858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006160566,0.00006188689,0.000069144524,0.0001320798,0.00011726917,0.000018580153,0.00003771845,0.00021347027,0.0000035915778],"category_scores_gemma":[0.00022919572,0.000059737224,0.000023174223,0.0005248495,0.000018811481,0.00016052873,0.000026043579,0.00041292835,0.0000033557776],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008646819,0.000028923667,0.032377545,0.000092200025,0.000002627197,0.000010956441,0.00012566545,0.00086465,0.93542993,0.019703524,0.00015113765,0.011126349],"study_design_scores_gemma":[0.00024511098,0.000052483712,0.9135889,0.000017518007,0.0000063905904,0.000018319754,0.00002162834,0.06051866,0.022838695,0.0024616653,0.00014332263,0.00008730743],"about_ca_topic_score_codex":0.000028933673,"about_ca_topic_score_gemma":0.0001009346,"teacher_disagreement_score":0.9125913,"about_ca_system_score_codex":0.000027466538,"about_ca_system_score_gemma":0.000003723546,"threshold_uncertainty_score":0.24360132},"labels":[],"label_agreement":null},{"id":"W4353074833","doi":"10.7554/elife.79305","title":"Open-source tools for behavioral video analysis: Setup, methods, and best practices","year":2023,"lang":"en","type":"review","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":95,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Mental Health; National Institute on Drug Abuse; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; National Science Foundation","keywords":"Computer science; Documentation; Video tracking; Data science; Scalability; Set (abstract data type); Multimedia; Video content analysis; Human–computer interaction; Video processing; Artificial intelligence","score_opus":0.500844501148324,"score_gpt":0.5462511197277957,"score_spread":0.0454066185794717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4353074833","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00016351926,0.9903258,0.0028239172,0.00024666236,0.001188137,0.0038421145,0.00071558263,0.00022946524,0.0004647815],"genre_scores_gemma":[0.0000037042528,0.98672825,0.0031015512,0.00030956493,0.00021047723,0.00055452413,0.00016965023,0.00008657305,0.008835711],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970696,0.00064982654,0.00060154113,0.001054337,0.00029506884,0.00032961657],"domain_scores_gemma":[0.99422204,0.0038403808,0.0012337265,0.0005099411,0.000057067296,0.00013682626],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0013222728,0.00036751945,0.0014028284,0.0003256075,0.00029389272,0.001323361,0.0006281177,0.00022075564,0.0000261716],"category_scores_gemma":[0.0043328614,0.0002902818,0.00045641858,0.001330399,0.00006390513,0.0006952347,0.0006340732,0.0003561058,0.00008351347],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009883529,0.000078191224,0.000001603469,0.0016291166,0.00012786897,0.000014229468,0.000017848817,0.0000034742284,0.00008798998,0.0002242651,0.0011314523,0.99667406],"study_design_scores_gemma":[0.000115181734,0.00016688758,0.0000017501725,0.00065456703,0.004568688,0.000028671508,0.000025505418,0.0004824299,0.00003767907,0.00003040475,0.99355567,0.0003325481],"about_ca_topic_score_codex":0.0001426524,"about_ca_topic_score_gemma":0.00008162691,"teacher_disagreement_score":0.9963415,"about_ca_system_score_codex":0.00004524122,"about_ca_system_score_gemma":0.00012169489,"threshold_uncertainty_score":0.99995494},"labels":[],"label_agreement":null},{"id":"W4360607983","doi":"10.1038/s41467-023-37322-1","title":"Subjective signal strength distinguishes reality from imagination","year":2023,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":112,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Max-Planck-Gesellschaft; European Commission; Leverhulme Trust; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Wellcome Trust; Canadian Institute for Advanced Research","keywords":"Perception; Virtual reality; Psychophysics; Cognitive psychology; Cognitive science; Psychology; SIGNAL (programming language); Computer science; Reality testing; Sensory system; Artificial intelligence; Cognition; Neuroscience","score_opus":0.04712727657086547,"score_gpt":0.3302106934188572,"score_spread":0.28308341684799176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360607983","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91357774,0.00044414846,0.00043787312,0.034598563,0.0013019461,0.0006418874,0.0011682524,0.0014987991,0.04633079],"genre_scores_gemma":[0.9982199,0.00019241215,0.00028490342,0.0004691973,0.00008145839,0.000029448367,0.00044191617,0.000013012927,0.00026774156],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989849,0.0002462702,0.00014785641,0.0002695245,0.00020429485,0.00014717392],"domain_scores_gemma":[0.9974115,0.0014312573,0.00009342107,0.0009199189,0.000100842684,0.00004307692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016775235,0.000094830524,0.00008793243,0.000088282686,0.00045884633,0.00007714311,0.00068391644,0.00011026953,0.000024184637],"category_scores_gemma":[0.0015695806,0.00008961394,0.00005059126,0.0007849813,0.00013674506,0.00016864044,0.00028459376,0.00066925876,0.00008373694],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067491266,0.00053475343,0.021707175,0.000015040844,0.000033690052,0.000015823067,0.0012606266,0.00013885985,0.56143564,0.32813525,0.029741444,0.05691419],"study_design_scores_gemma":[0.0006528591,0.000078717865,0.5988283,0.000047727768,0.00004957296,0.0000069684934,0.0003204653,0.16106643,0.05064547,0.09003156,0.09767928,0.0005926296],"about_ca_topic_score_codex":0.00014262265,"about_ca_topic_score_gemma":0.00041844917,"teacher_disagreement_score":0.57712114,"about_ca_system_score_codex":0.000057689576,"about_ca_system_score_gemma":0.000028340752,"threshold_uncertainty_score":0.36543503},"labels":[],"label_agreement":null},{"id":"W4360841624","doi":"10.1016/j.neulet.2023.137212","title":"Reduced connectivity of primary auditory and motor cortices during exposure to auditory white noise","year":2023,"lang":"en","type":"article","venue":"Neuroscience Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Auditory cortex; Neuroscience; Magnetoencephalography; Primary motor cortex; Psychology; Motor cortex; Masking (illustration); Audiology; Electroencephalography; Medicine","score_opus":0.02059387801228107,"score_gpt":0.23179653823970806,"score_spread":0.21120266022742698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360841624","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910388,0.0000020967423,0.000050005314,0.004135499,0.0041463324,0.00032526077,0.000026759612,0.00018420383,0.0000910184],"genre_scores_gemma":[0.99259025,0.000018686054,0.000023554363,0.0066763298,0.00027126083,0.000027401122,6.859409e-7,0.0000209022,0.00037093656],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99786174,0.00013311444,0.00024903144,0.0007983689,0.00053335226,0.00042437325],"domain_scores_gemma":[0.9990675,0.00024501042,0.00016001245,0.00033429847,0.00002489021,0.00016830344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021932421,0.00017920301,0.00021275153,0.0002866326,0.00031334726,0.00008093487,0.00033442155,0.00004404493,0.000004915717],"category_scores_gemma":[0.0008030783,0.00017243318,0.000057915022,0.00094281696,0.00034677543,0.00046764195,0.0002381194,0.00019303973,0.000019427793],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005192275,0.00002497672,0.0037823475,0.000051681156,4.892311e-7,0.000049020542,0.00013121578,0.0009362389,0.99349445,0.0000097508255,0.0011567262,0.0003112067],"study_design_scores_gemma":[0.0002476296,0.00023443028,0.83075494,0.000025816198,0.0000054638804,0.000021546472,0.000018013956,0.0012563177,0.16680466,0.000011833823,0.00041964528,0.00019970088],"about_ca_topic_score_codex":0.0000062603044,"about_ca_topic_score_gemma":0.000001995486,"teacher_disagreement_score":0.8269726,"about_ca_system_score_codex":0.000050049493,"about_ca_system_score_gemma":0.000032988337,"threshold_uncertainty_score":0.70316213},"labels":[],"label_agreement":null},{"id":"W4360946677","doi":"10.1101/2023.03.24.534099","title":"Positive and biphasic extracellular waveforms correspond to return currents and axonal spikes","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Azrieli Foundation; Israel Science Foundation; United States-Israel Binational Science Foundation; Rosetrees Trust; International Development Research Centre","keywords":"Extracellular; Waveform; Neuroscience; Physics; Inhibitory postsynaptic potential; Electrophysiology; Biophysics; Biology; Cell biology; Voltage","score_opus":0.0274438762111667,"score_gpt":0.23951987423088172,"score_spread":0.21207599801971502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360946677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99400723,0.0003480779,0.00076484104,0.0005333351,0.0025538793,0.000886421,0.00059821125,0.00030358648,0.0000043927334],"genre_scores_gemma":[0.99831265,0.0003742736,0.0003345324,0.00040275106,0.0002760488,0.00009656177,6.8218674e-7,0.00011693956,0.00008554639],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968805,0.00013832771,0.00041632808,0.0015223533,0.00047821,0.00056431425],"domain_scores_gemma":[0.9983435,0.00021872588,0.00025179316,0.0006091534,0.00015243758,0.00042434607],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004394728,0.00053932454,0.000457535,0.00042721294,0.00028819044,0.00043754705,0.00034060303,0.00032424182,0.000016127695],"category_scores_gemma":[0.0006375758,0.00050987495,0.00008577973,0.0005734318,0.00018292443,0.00022026288,0.0008866063,0.00073957135,0.000067627116],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008913975,0.000041928044,0.0034664317,0.00015419052,0.000014536222,0.00016110083,0.000017543813,0.000017666662,0.9951674,0.00066612434,0.00017135686,0.000032617307],"study_design_scores_gemma":[0.00095821614,0.00038622922,0.22700171,0.0009999183,0.00012481515,5.6563886e-7,0.00000792091,0.011789635,0.7517788,0.000066020686,0.005092566,0.0017936386],"about_ca_topic_score_codex":0.000033872024,"about_ca_topic_score_gemma":0.0000037151342,"teacher_disagreement_score":0.2433886,"about_ca_system_score_codex":0.00012637707,"about_ca_system_score_gemma":0.00013513333,"threshold_uncertainty_score":0.9997353},"labels":[],"label_agreement":null},{"id":"W4360953590","doi":"10.1101/2023.03.25.534198","title":"A neuronal least-action principle for real-time learning in cortical circuits","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Seventh Framework Programme; Horizon 2020 Framework Programme; European Commission; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Action (physics); Cortical neurons; Computer science; Neuroscience; Psychology; Physics","score_opus":0.052854524173278856,"score_gpt":0.27496163693998443,"score_spread":0.22210711276670558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360953590","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99397665,0.000008171024,0.0012894259,0.00033318845,0.0021178804,0.0011792772,0.00013318725,0.0009472398,0.000014977874],"genre_scores_gemma":[0.99825746,0.00013154176,0.00023585437,0.00016990608,0.0004394291,0.0004326312,0.0000010136118,0.00019556822,0.00013660146],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.996312,0.00031972482,0.0006178887,0.0015299462,0.0004772149,0.00074322394],"domain_scores_gemma":[0.998082,0.0005339287,0.00038147584,0.00061772746,0.00016646009,0.000218416],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006968857,0.00047269306,0.0005091754,0.00040439446,0.00028527784,0.0002509924,0.00042405198,0.00042846444,0.000027881993],"category_scores_gemma":[0.0024415115,0.0005393321,0.00019023471,0.0006807902,0.00010427699,0.00020005285,0.0004224459,0.00132329,0.00020080573],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060014016,0.000103225604,0.0022413416,0.00021842364,0.000009958345,0.00005288227,0.0000040649384,0.0018974587,0.994305,0.0010315144,0.000068352565,0.0000077373115],"study_design_scores_gemma":[0.0014156413,0.0004137059,0.4063946,0.00046661048,0.00008341968,1.317667e-7,0.0000026984221,0.17054997,0.413524,0.000033724784,0.005563169,0.0015523224],"about_ca_topic_score_codex":0.00003762157,"about_ca_topic_score_gemma":0.0000056743306,"teacher_disagreement_score":0.58078104,"about_ca_system_score_codex":0.00033928067,"about_ca_system_score_gemma":0.00039103246,"threshold_uncertainty_score":0.9997058},"labels":[],"label_agreement":null},{"id":"W4361196070","doi":"10.1016/j.celrep.2023.112318","title":"Transcriptomic cell type structures in vivo neuronal activity across multiple timescales","year":2023,"lang":"en","type":"article","venue":"Cell Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Neurological Disorders and Stroke; McKnight Foundation; Canadian Institute for Advanced Research; National Institutes of Health; National Science Foundation; Washington University in St. Louis; Alfred P. Sloan Foundation","keywords":"Transcriptome; In vivo; Cell biology; Biology; Cell type; Cell; Computational biology; Neuroscience; Gene expression; Genetics; Gene","score_opus":0.026779957392276826,"score_gpt":0.26354780143391326,"score_spread":0.23676784404163645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361196070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958693,0.000008278373,0.000013353364,0.00007479864,0.001649713,0.00020605365,0.00002601527,0.00015607166,0.001996457],"genre_scores_gemma":[0.99446625,0.000026356396,0.000010542077,0.00015696396,0.000053976186,0.0000072516677,0.000007015632,0.000027718688,0.005243922],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99849474,0.000067581685,0.00023771191,0.0005657183,0.00025136032,0.00038290778],"domain_scores_gemma":[0.99934083,0.00015274894,0.000120494005,0.0002914606,0.00001735768,0.00007710118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015505227,0.00015849035,0.00015948541,0.00008071588,0.00012991525,0.00005905083,0.00010993326,0.000081769824,0.00008348971],"category_scores_gemma":[0.00014542471,0.00014597313,0.00007509636,0.0004919642,0.00006776728,0.0001482583,0.00006131639,0.00022865324,0.000042092186],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044928252,0.000051650204,0.0052335984,0.000026749567,4.810741e-7,0.00066312455,0.00011190287,0.0009610056,0.9913489,0.0000055557935,0.0009234686,0.0006285901],"study_design_scores_gemma":[0.0002230524,0.00005291249,0.05879059,0.000004355038,0.0000028376023,0.000057580637,0.000016150905,0.0069227037,0.9288527,0.0004435767,0.0044686133,0.00016494462],"about_ca_topic_score_codex":0.000051893585,"about_ca_topic_score_gemma":0.000069975824,"teacher_disagreement_score":0.06249626,"about_ca_system_score_codex":0.00003326089,"about_ca_system_score_gemma":0.00004035674,"threshold_uncertainty_score":0.59526116},"labels":[],"label_agreement":null},{"id":"W4361269753","doi":"10.1016/j.cell.2023.02.036","title":"A thalamic-primary auditory cortex circuit mediates resilience to stress","year":2023,"lang":"en","type":"article","venue":"Cell","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":60,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Southern Medical University; National Natural Science Foundation of China; McGill University","keywords":"Neuroscience; Optogenetics; Biology; Parvalbumin; Chronic stress; Auditory cortex; Synaptogenesis; Neuroplasticity","score_opus":0.020344142991518016,"score_gpt":0.23259695656445248,"score_spread":0.21225281357293446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361269753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.981057,0.000010707773,0.00006271186,0.00039921972,0.002176691,0.00018579651,0.000041247018,0.0002446988,0.015821962],"genre_scores_gemma":[0.9866459,0.000061865016,0.0000094324,0.0017052346,0.00026294924,0.000019823827,0.000012323596,0.000019805524,0.011262688],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99871147,0.00005490622,0.00015068872,0.00044929585,0.00031473383,0.0003188936],"domain_scores_gemma":[0.9991823,0.00034293527,0.00005320357,0.00028337902,0.000020599684,0.00011762163],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00012407801,0.00011353992,0.0001134955,0.000120154786,0.00013586221,0.000048126974,0.00031166288,0.00004708855,0.00006625617],"category_scores_gemma":[0.0002144125,0.00010511519,0.000044101034,0.000584461,0.00005885977,0.00010702238,0.00013796457,0.00012795092,0.0017823373],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006824566,0.000026166997,0.00039261722,0.000027773163,4.5731028e-7,0.0000594101,0.0001028049,0.0002489584,0.98473126,0.00012096918,0.013304127,0.0009786424],"study_design_scores_gemma":[0.00048670825,0.00027487395,0.17321569,0.00005951152,0.000012963334,0.000012995339,0.0001873082,0.0062815445,0.7955322,0.0024017072,0.020927215,0.0006072236],"about_ca_topic_score_codex":0.000009072739,"about_ca_topic_score_gemma":0.000007241161,"teacher_disagreement_score":0.18919899,"about_ca_system_score_codex":0.00004373236,"about_ca_system_score_gemma":0.000037824397,"threshold_uncertainty_score":0.9989949},"labels":[],"label_agreement":null},{"id":"W4361275484","doi":"10.3390/e25040589","title":"Synchrony-Division Neural Multiplexing: An Encoding Model","year":2023,"lang":"en","type":"article","venue":"Entropy","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children; Toronto Rehabilitation Institute; University of Toronto; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Computer science; Asynchronous communication; Stimulus (psychology); Multiplexing; ENCODE; Homogeneous; Cascade; Neural decoding; Neural coding; Sensory system; Neural ensemble; Nonlinear system; Neuroscience; Artificial intelligence; Decoding methods; Algorithm; Physics; Biology; Psychology; Statistical physics; Chemistry","score_opus":0.06632163635424596,"score_gpt":0.30007305502931714,"score_spread":0.23375141867507118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361275484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99425757,0.0000030129536,0.003381281,0.0005311708,0.0006970027,0.00013673701,0.000014403785,0.0004652848,0.0005135181],"genre_scores_gemma":[0.99813676,0.000013449253,0.00014224648,0.00052856916,0.00011550978,0.0000053464555,0.000014957624,0.000023121049,0.001020021],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99879354,0.00006498305,0.00014472628,0.00040342074,0.00026583552,0.00032749292],"domain_scores_gemma":[0.9994993,0.000106905805,0.000048769827,0.00022960402,0.0000138122905,0.00010159129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011081939,0.00011936028,0.00009800833,0.000109595596,0.00024527952,0.0000890369,0.00019415609,0.000041293817,0.00003876372],"category_scores_gemma":[0.00023527916,0.00010465821,0.00005808054,0.00032554913,0.00003770825,0.00033584048,0.00009449702,0.00014078655,0.00023936454],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013790521,0.000025149606,0.00025116466,0.0000047472254,6.5042235e-7,0.000025991267,0.00009992903,0.103344336,0.88514704,0.008148715,0.00043877808,0.002499687],"study_design_scores_gemma":[0.0002343873,0.00007761098,0.00068247,0.000005778986,0.000001999539,0.000004957461,0.000018140057,0.9573497,0.03936416,0.0018637505,0.00027655988,0.000120453515],"about_ca_topic_score_codex":0.0000075375524,"about_ca_topic_score_gemma":0.000001685981,"teacher_disagreement_score":0.8540054,"about_ca_system_score_codex":0.00003488806,"about_ca_system_score_gemma":0.000011981051,"threshold_uncertainty_score":0.4267838},"labels":[],"label_agreement":null},{"id":"W4361298273","doi":"10.1101/2023.03.28.534599","title":"Learning to learn: Single session acquisition of new rules by freely-moving mice","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Azrieli Foundation; Israel Science Foundation; United States-Israel Binational Science Foundation; International Development Research Centre","keywords":"Session (web analytics); Task (project management); Computer science; Cognition; Artificial intelligence; Human–computer interaction; Machine learning; Cognitive psychology; Psychology; Neuroscience","score_opus":0.02693071163857803,"score_gpt":0.23737790934439512,"score_spread":0.2104471977058171,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361298273","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926432,0.00009497951,0.0030964804,0.00072315696,0.0019844424,0.0005581782,0.00018169833,0.0007028913,0.000015013414],"genre_scores_gemma":[0.99718624,0.000108959284,0.001441922,0.00041255317,0.00039257962,0.000039586434,0.0000013482721,0.00017654002,0.0002402531],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99663883,0.00025535093,0.00059432973,0.0013270769,0.00062408653,0.000560312],"domain_scores_gemma":[0.99793416,0.00024372987,0.00058716565,0.0007032066,0.00020506581,0.0003266618],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00046212002,0.00048723439,0.00051482895,0.0003967291,0.0002712552,0.00027241706,0.00059980416,0.00036206972,0.000044292658],"category_scores_gemma":[0.0009986629,0.00053221144,0.00016699581,0.00079439656,0.000071818125,0.00024397936,0.0008455841,0.0008747629,0.00021879227],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043270953,0.000081863356,0.0005742316,0.0001953704,0.0000148656045,0.000023048386,0.000018612176,0.0013696345,0.9959495,0.00012733553,0.0015816996,0.000020566993],"study_design_scores_gemma":[0.00028894105,0.00022367746,0.0088489195,0.0007592266,0.000050468025,3.2903035e-8,0.000008389193,0.002834679,0.9827092,0.000012801622,0.0036249328,0.000638692],"about_ca_topic_score_codex":0.00020333838,"about_ca_topic_score_gemma":0.000003088861,"teacher_disagreement_score":0.013240262,"about_ca_system_score_codex":0.0002450481,"about_ca_system_score_gemma":0.00022771578,"threshold_uncertainty_score":0.99971294},"labels":[],"label_agreement":null},{"id":"W4361816142","doi":"10.1101/2023.03.30.534922","title":"Spectrally and temporally resolved estimation of neural signal diversity","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research; McGill University; Montreal Neurological Institute and Hospital","funders":"Gates Cambridge Trust; University of Kent; Cambridge Trust; Wellcome Trust","keywords":"Estimator; Computer science; Leverage (statistics); Entropy (arrow of time); Complexity index; Cognition; Consciousness; Computational complexity theory; Artificial intelligence; Theoretical computer science; Algorithm; Mathematics; Psychology; Statistics; Physics","score_opus":0.03287386307154632,"score_gpt":0.22784827293830587,"score_spread":0.19497440986675954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361816142","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99564445,0.000038588805,0.001857135,0.0004215405,0.00090888276,0.0005228041,0.00021593689,0.00038427618,0.000006411628],"genre_scores_gemma":[0.9984302,0.00008146485,0.0010935622,0.00018054948,0.00011843566,0.000018530638,3.5905873e-7,0.00006344587,0.000013440614],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976147,0.00015258195,0.00043048413,0.0009550583,0.00049154414,0.00035564858],"domain_scores_gemma":[0.9985159,0.00017201624,0.00045375526,0.00057414785,0.00014303168,0.00014116515],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004001624,0.00036236562,0.00041380047,0.00027632038,0.00028705227,0.00014236424,0.00044323743,0.00027230426,0.00001489143],"category_scores_gemma":[0.00039399287,0.00038407868,0.00011939867,0.00043790057,0.00019719698,0.00022248113,0.0013597613,0.000549833,0.000018201645],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006661753,0.00006161946,0.0053872275,0.0002704133,0.000018754927,0.000077062905,0.000009878917,0.0017945792,0.9913689,0.00078779954,0.00015067396,0.0000064731344],"study_design_scores_gemma":[0.0006988333,0.00023982362,0.29473072,0.00029621547,0.00011372732,6.529819e-8,0.0000021231,0.1341941,0.5686444,0.00010444997,0.000095049705,0.00088045845],"about_ca_topic_score_codex":0.00010240746,"about_ca_topic_score_gemma":0.0000043626005,"teacher_disagreement_score":0.42272446,"about_ca_system_score_codex":0.00010032233,"about_ca_system_score_gemma":0.00014612394,"threshold_uncertainty_score":0.9998611},"labels":[],"label_agreement":null},{"id":"W4361818145","doi":"10.1101/2023.03.30.534278","title":"Estimating receptive fields of simple and complex cells in early visual cortex: A convolutional neural network model with parameterized rectification","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Simple cell; Receptive field; Visual cortex; Computer science; Binocular neurons; Biological system; Parameterized complexity; Artificial intelligence; Simple (philosophy); Convolutional neural network; Pattern recognition (psychology); Neuroscience; Algorithm; Psychology","score_opus":0.043432322220591894,"score_gpt":0.2559723108514763,"score_spread":0.2125399886308844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361818145","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98455554,0.00000983801,0.013707535,0.00009766164,0.00062087894,0.00070034486,0.00014771974,0.00015899244,0.0000014866417],"genre_scores_gemma":[0.9908421,0.000024060262,0.008707534,0.00012264132,0.000112109396,0.00012032257,0.0000012779362,0.00006467663,0.000005266747],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99763864,0.00020035158,0.00052356464,0.0009265791,0.000324479,0.00038638036],"domain_scores_gemma":[0.998448,0.00035019623,0.0005291009,0.00039235855,0.00017498662,0.00010536362],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00036572578,0.0003313768,0.00046455846,0.00018241852,0.00014082174,0.00012023509,0.00022358792,0.00025356177,0.0000054803722],"category_scores_gemma":[0.0002574747,0.0003344265,0.00006028196,0.0005864113,0.00019944858,0.00015145759,0.00025710513,0.00058925233,0.0000042266042],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015133231,0.000072217386,0.0037210407,0.00013025539,0.000012407204,0.00001259879,0.000018864524,0.119243495,0.8763138,0.00026693157,0.000053288786,0.0000037642797],"study_design_scores_gemma":[0.00042220848,0.00015398212,0.13562553,0.00015845292,0.00002525392,3.358886e-8,0.0000014813219,0.8397823,0.023451466,0.00004559706,0.0000055217142,0.00032818996],"about_ca_topic_score_codex":0.00012191162,"about_ca_topic_score_gemma":0.00001630469,"teacher_disagreement_score":0.85286236,"about_ca_system_score_codex":0.000095741205,"about_ca_system_score_gemma":0.000172594,"threshold_uncertainty_score":0.9999108},"labels":[],"label_agreement":null},{"id":"W4362512797","doi":"10.21203/rs.3.rs-2728662/v1","title":"Intra- and inter-brain synchrony oscillations underlying social adjustment","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Generalitat de Catalunya; European Regional Development Fund; Institució Catalana de Recerca i Estudis Avançats; Ministerio de Ciencia, Innovación y Universidades","keywords":"Reinforcement learning; Conformity; Synchronization (alternating current); Psychology; Cognitive psychology; Coherence (philosophical gambling strategy); Computer science; Electroencephalography; Task (project management); Cluster analysis; Artificial intelligence; Neuroscience; Social psychology; Mathematics; Statistics","score_opus":0.24698199898975642,"score_gpt":0.4368895779455286,"score_spread":0.18990757895577215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362512797","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91710657,0.00027372458,0.003622015,0.06459716,0.003965426,0.0038930608,0.00075885694,0.00087875995,0.0049044564],"genre_scores_gemma":[0.9953618,0.00032827797,0.00003677492,0.00024332706,0.0004437255,0.00019339053,0.00006474098,0.000061501756,0.0032664633],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9963903,0.0007182122,0.00029435626,0.000983169,0.0009686293,0.00064533856],"domain_scores_gemma":[0.99780226,0.0014247822,0.00008907681,0.0003731284,0.00015270004,0.00015805048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010216556,0.00023465278,0.00025460456,0.0005385087,0.0008060422,0.00040683156,0.0003590107,0.0002687577,0.00008900831],"category_scores_gemma":[0.0017735234,0.0002242974,0.00011697043,0.00056826026,0.00034323067,0.00011236561,0.0018327357,0.0016016556,0.00014393518],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003904324,0.0007919826,0.0025101705,0.0072849984,0.00019535376,0.00061366794,0.007678076,0.0031162198,0.35640645,0.16047783,0.15985933,0.30067548],"study_design_scores_gemma":[0.003471073,0.002651842,0.20146373,0.004482612,0.00011163069,0.00011078773,0.006881818,0.31005216,0.0076898225,0.41100708,0.04816181,0.0039156424],"about_ca_topic_score_codex":0.00016423278,"about_ca_topic_score_gemma":0.00015218701,"teacher_disagreement_score":0.34871665,"about_ca_system_score_codex":0.00040056743,"about_ca_system_score_gemma":0.00021079667,"threshold_uncertainty_score":0.91465825},"labels":[],"label_agreement":null},{"id":"W4362601295","doi":"10.1371/journal.pone.0283257","title":"Seeing Ɔ, remembering C: Illusions in short-term memory","year":2023,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Illusion; Perception; Memory errors; Visual short-term memory; Cognitive psychology; Iconic memory; Sensory memory; Short-term memory; Inference; Term (time); Computer science; Episodic memory; Visual perception; Psychology; Visual memory; Cognition; Working memory; Recall; Artificial intelligence; Neuroscience","score_opus":0.11683350266736489,"score_gpt":0.2650167294728882,"score_spread":0.1481832268055233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362601295","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944138,0.0000042199867,0.000005179384,0.0004406062,0.00014704082,0.00014688483,0.000003853567,0.00020543508,0.0046329796],"genre_scores_gemma":[0.99771464,0.0000653758,0.000042096974,0.00023458323,0.000065827524,0.000017944338,0.0000036670722,0.00001708296,0.0018387769],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990892,0.000035295718,0.00013750458,0.00026442064,0.00024262314,0.00023099997],"domain_scores_gemma":[0.9996366,0.00012369199,0.000013588636,0.00017046304,0.00001026816,0.000045414417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000118372176,0.000073299154,0.00010534266,0.00014867813,0.00011111616,0.000027375356,0.000115078605,0.000032989283,0.0000524896],"category_scores_gemma":[0.00029310712,0.0000729186,0.000025760659,0.0005560919,0.000023839804,0.00012160012,0.0001384218,0.00014988719,0.00017857278],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000048323905,0.000105688196,0.0021980263,0.000024451749,0.0000019564795,0.000071559036,0.00010785158,0.00011035595,0.99628115,0.00012233028,0.000028085436,0.0009437327],"study_design_scores_gemma":[0.00025449175,0.000066715525,0.042092342,0.00027975868,0.000016413656,0.0000070895303,0.0000666591,0.09719151,0.8591755,0.0004991838,0.00007435586,0.0002759575],"about_ca_topic_score_codex":0.0000087455255,"about_ca_topic_score_gemma":0.000043600146,"teacher_disagreement_score":0.13710561,"about_ca_system_score_codex":0.000033663997,"about_ca_system_score_gemma":0.00000899091,"threshold_uncertainty_score":0.29735342},"labels":[],"label_agreement":null},{"id":"W4362676256","doi":"10.1101/2023.04.05.535772","title":"Control of working memory maintenance by theta-gamma phase amplitude coupling of human hippocampal neurons","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"Deutsche Akademie der Naturforscher Leopoldina - Nationale Akademie der Wissenschaften; Cedars-Sinai Medical Center; National Institute of Neurological Disorders and Stroke; Johns Hopkins University; National Science Foundation","keywords":"Hippocampal formation; Hippocampus; Working memory; Neuroscience; Coupling (piping); Cognition; Psychology; Amplitude; Physics; Materials science","score_opus":0.04446841442488008,"score_gpt":0.25989942802062566,"score_spread":0.21543101359574557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362676256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99138427,0.00013441847,0.0043248027,0.00020615506,0.0018536375,0.0009613478,0.00075829175,0.00036735763,0.000009701052],"genre_scores_gemma":[0.9990312,0.00010163435,0.000117580894,0.00021390026,0.00020829008,0.00011982096,7.521162e-7,0.00017911807,0.000027726208],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9960331,0.00014986961,0.0010840062,0.0013530042,0.0006761838,0.00070384814],"domain_scores_gemma":[0.996385,0.0004482509,0.0013292871,0.0013351999,0.00028935255,0.0002129153],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00083521457,0.0006015178,0.0009753273,0.00032741396,0.00023032253,0.00012933432,0.00095404114,0.00035728578,0.00002378087],"category_scores_gemma":[0.000783394,0.00061585737,0.00033395452,0.000665965,0.00038392455,0.00012639332,0.00046540218,0.0009516382,0.000016884034],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009668929,0.00028456142,0.0010984881,0.00029286425,0.00005106398,0.00004597348,0.000007259648,0.0010771544,0.99544054,0.0014209615,0.00018019028,0.0000042398883],"study_design_scores_gemma":[0.0022732923,0.0002772368,0.0049079703,0.0007684636,0.00017019775,4.7587196e-8,0.0000038010796,0.022218222,0.96813685,0.00004093309,0.00039433478,0.0008086364],"about_ca_topic_score_codex":0.000057366993,"about_ca_topic_score_gemma":0.0000027145966,"teacher_disagreement_score":0.02730369,"about_ca_system_score_codex":0.00013550802,"about_ca_system_score_gemma":0.00021226659,"threshold_uncertainty_score":0.99962926},"labels":[],"label_agreement":null},{"id":"W4362677776","doi":"10.1055/s-0043-1766105","title":"Brightening the Study of Listening Effort with Functional Near-Infrared Spectroscopy: A Scoping Review","year":2023,"lang":"en","type":"review","venue":"Seminars in Hearing","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Active listening; Functional near-infrared spectroscopy; Modalities; Cognitive neuroscience; Cognition; Neuroimaging; Reading (process); Psychology; Popularity; Functional neuroimaging; Reflective listening; Cognitive science; Cognitive psychology; Neuroscience; Computer science; Informational listening; Communication","score_opus":0.0990916342242215,"score_gpt":0.35680355364856187,"score_spread":0.25771191942434035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362677776","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0037711717,0.99064386,0.000021144791,0.0000219499,0.00055863586,0.004230989,0.0000056083272,0.0001111585,0.00063551],"genre_scores_gemma":[0.00017700784,0.9983215,0.00011020882,0.00008019511,0.00009895656,0.00036568518,0.000010220028,0.00009681264,0.0007394355],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9967388,0.00030310283,0.001024648,0.00082585897,0.0006552189,0.000452363],"domain_scores_gemma":[0.9976119,0.001083527,0.0006136405,0.0005982427,0.000036752957,0.00005595147],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00096936605,0.00042089552,0.0014936666,0.00022227768,0.00035623534,0.00011884285,0.00043098175,0.00010562166,0.000021260268],"category_scores_gemma":[0.00043449228,0.00026698265,0.00022757663,0.00181984,0.00009849494,0.0001472033,0.0003166913,0.0008958222,0.00001790729],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014815392,0.00056233525,0.0012079022,0.43331593,0.00021536657,0.0010524838,0.0013391289,0.001002904,0.00032381588,0.0002698885,0.0006054548,0.5599566],"study_design_scores_gemma":[0.00032080573,0.00050856324,0.00010034336,0.98474807,0.00040479747,0.0003019043,0.00009297468,0.0007145844,0.00003340982,0.000038224047,0.012237405,0.0004989044],"about_ca_topic_score_codex":0.00006951573,"about_ca_topic_score_gemma":0.000074463635,"teacher_disagreement_score":0.5594577,"about_ca_system_score_codex":0.00015134155,"about_ca_system_score_gemma":0.00027921403,"threshold_uncertainty_score":0.99997824},"labels":[],"label_agreement":null},{"id":"W4363645305","doi":"10.1371/journal.pcbi.1010986","title":"In-silico EEG biomarkers of reduced inhibition in human cortical microcircuits in depression","year":2023,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Ontario Brain Institute; Centre for Addiction and Mental Health","funders":"Krembil Foundation; University of Toronto","keywords":"In silico; Electroencephalography; Neuroscience; Depression (economics); Human brain; Computational biology; Biology; Genetics","score_opus":0.04241821086095582,"score_gpt":0.3027142887858238,"score_spread":0.260296077924868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4363645305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991276,0.000004857042,0.00004079759,0.0003376948,0.00011721919,0.00017949611,0.000012238636,0.00002473737,0.00015533304],"genre_scores_gemma":[0.9995975,0.0000047013505,0.000030998952,0.00023155962,0.00001224179,0.0000184139,0.00008848675,0.000006722404,0.0000093645685],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99885494,0.00020837545,0.00034273145,0.00031424774,0.000098126715,0.00018160298],"domain_scores_gemma":[0.99931294,0.00050996727,0.00007403221,0.000058194324,0.000020990545,0.000023895904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015109472,0.000077953555,0.00014820285,0.0004873793,0.000033918146,0.000005310016,0.00005906041,0.00008750142,0.000014870192],"category_scores_gemma":[0.00027045602,0.000076731325,0.000025358746,0.0007643268,0.00009947452,0.00007162235,0.000054500422,0.00014402968,0.00001752814],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037592712,0.0001280354,0.02424347,0.000012990166,0.000001326074,0.000027026337,0.00006273045,0.0032529107,0.96867007,0.0031527148,0.000029973906,0.000381174],"study_design_scores_gemma":[0.001066858,0.00012428121,0.6508315,0.00007197782,0.0000017638582,0.0000131316365,0.000021694716,0.07248103,0.23909722,0.036150098,0.000009339982,0.00013106401],"about_ca_topic_score_codex":0.000032850166,"about_ca_topic_score_gemma":0.00004076307,"teacher_disagreement_score":0.72957283,"about_ca_system_score_codex":0.000051214334,"about_ca_system_score_gemma":0.00002610427,"threshold_uncertainty_score":0.31290126},"labels":[],"label_agreement":null},{"id":"W4365443707","doi":"10.1113/jp284606","title":"Seventy years later: the legacy of the Hodgkin and Huxley model in computational neuroscience","year":2023,"lang":"en","type":"editorial","venue":"The Journal of Physiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Biotechnology and Biological Sciences Research Council; Academy of Medical Sciences","keywords":"Hodgkin–Huxley model; Computational neuroscience; Neuroscience; Cognitive science; Psychology; Computer science","score_opus":0.024205904046679737,"score_gpt":0.27813482846574533,"score_spread":0.2539289244190656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365443707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68344146,0.000015630778,0.0000400037,0.0014684581,0.31484187,0.00013474196,0.000040750583,0.0000045389106,0.000012522584],"genre_scores_gemma":[0.96710765,0.00024530897,0.000007726558,0.00044824154,0.03198355,0.0000016394903,0.000001463684,0.000017809885,0.0001866044],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99829817,0.00055016676,0.00035869906,0.0001612442,0.00046415816,0.00016759208],"domain_scores_gemma":[0.99692553,0.0021717285,0.00061610795,0.00019256688,0.00007198193,0.00002209463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007137517,0.00011875431,0.0002401178,0.000073976866,0.00012068394,0.000025142155,0.0008054636,0.00010518748,0.0000019232625],"category_scores_gemma":[0.0010392169,0.000054296484,0.000092057075,0.00028350798,0.0004618254,0.000108901026,0.0002684254,0.00087578606,0.0000014876949],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022243308,0.00005392931,0.0000107563465,0.000028217564,0.0000068285563,0.000005741829,0.00037064726,0.31345898,0.5345696,0.0003551266,0.15055874,0.00035898277],"study_design_scores_gemma":[0.0024127283,0.0012870246,0.070554644,0.00036682584,0.00016754612,0.00016404109,0.00014096855,0.74661005,0.003744377,0.13214122,0.04181316,0.0005974295],"about_ca_topic_score_codex":0.000017967888,"about_ca_topic_score_gemma":0.000012896132,"teacher_disagreement_score":0.5308252,"about_ca_system_score_codex":0.000023508092,"about_ca_system_score_gemma":0.00017072824,"threshold_uncertainty_score":0.38049033},"labels":[],"label_agreement":null},{"id":"W4365515021","doi":"10.1098/rsfs.2022.0076","title":"As without, so within: how the brain's temporo-spatial alignment to the environment shapes consciousness","year":2023,"lang":"en","type":"article","venue":"Interface Focus","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Royal Ottawa Mental Health Centre; University of Ottawa","funders":"","keywords":"Consciousness; Neuroscience; Brain activity and meditation; Entrainment (biomusicology); Layer (electronics); Psychology; Cognitive psychology; Computer science; Cognitive science; Physics; Electroencephalography; Chemistry","score_opus":0.02343256109490442,"score_gpt":0.25686918215984555,"score_spread":0.23343662106494115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365515021","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7643136,0.00006334706,0.003787281,0.2286944,0.0013112171,0.00097803,0.000039020462,0.00019015024,0.00062298164],"genre_scores_gemma":[0.9892017,0.000019813406,0.000010472124,0.002839539,0.00012934838,0.00013136957,7.877612e-7,0.000033372835,0.0076335887],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99814075,0.00020922725,0.00020275966,0.00053792284,0.00053881557,0.0003705512],"domain_scores_gemma":[0.9989278,0.00040072115,0.00011623471,0.0004444929,0.000014242596,0.00009655483],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00040763267,0.00022281401,0.00015437999,0.00005541123,0.0005214808,0.0003359361,0.0006351911,0.000052175914,0.00012326479],"category_scores_gemma":[0.0003015539,0.00012024726,0.00007894526,0.00023995459,0.00023541578,0.00009858893,0.00032854517,0.0002295093,0.0015015482],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012861687,0.00006682639,0.00019300994,0.000008676416,0.000024588846,0.000038487102,0.0032159882,0.0088526495,0.9348882,0.0017922058,0.031104177,0.019686561],"study_design_scores_gemma":[0.00038613455,0.0005630151,0.0005828864,0.00003915369,0.000019537956,0.00005101437,0.0010373399,0.014043668,0.5029383,0.0014128712,0.47858873,0.00033738592],"about_ca_topic_score_codex":0.00022734384,"about_ca_topic_score_gemma":0.0002267533,"teacher_disagreement_score":0.44748455,"about_ca_system_score_codex":0.000063378946,"about_ca_system_score_gemma":0.00003186256,"threshold_uncertainty_score":0.9992759},"labels":[],"label_agreement":null},{"id":"W4365519996","doi":"10.1016/j.bspc.2023.104945","title":"Detecting memory content in firing rate signals using a machine learning approach: A fractal analysis","year":2023,"lang":"en","type":"article","venue":"Biomedical Signal Processing and Control","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; York University","funders":"Midwestern State University; Whitehall Foundation; National Institutes of Health; National Science Foundation","keywords":"Fractal dimension; Fractal; Computer science; Pattern recognition (psychology); Artificial intelligence; Modulation (music); Fractal analysis; Biological system; Mathematics; Physics; Acoustics; Mathematical analysis","score_opus":0.05217295981865776,"score_gpt":0.2675186800112993,"score_spread":0.21534572019264153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365519996","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9514228,0.00025390406,0.047567174,0.00027484045,0.000051174226,0.00018499947,0.000007835785,0.00017526532,0.00006202065],"genre_scores_gemma":[0.9991987,0.000012784423,0.00007559495,0.00045059892,0.00010017865,0.00002152815,0.000008660265,0.000019118257,0.0001128605],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978994,0.00030773814,0.00039237182,0.00056611275,0.00037153036,0.00046284316],"domain_scores_gemma":[0.9990703,0.00047901648,0.00018029462,0.000067112924,0.000030741976,0.00017256674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010622211,0.00019346215,0.0003845772,0.00053908385,0.00041930526,0.00018449216,0.00012147504,0.00010576634,0.000023535575],"category_scores_gemma":[0.00054631487,0.00015677128,0.00010699149,0.0018798099,0.00015247252,0.00015759272,0.00006684316,0.00043315243,0.0000043931664],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013667467,0.000060264843,0.0022690212,0.00006722334,0.0000324581,0.00008373812,0.00017300724,0.006655639,0.891536,0.0000040269088,9.988215e-7,0.09898098],"study_design_scores_gemma":[0.0011939231,0.000092564456,0.001379907,0.00006176279,0.00010525405,0.00001943066,0.00014817974,0.9930698,0.003597205,0.00009027272,0.000049531616,0.00019213247],"about_ca_topic_score_codex":0.00016775605,"about_ca_topic_score_gemma":0.0000096164795,"teacher_disagreement_score":0.9864142,"about_ca_system_score_codex":0.000042152307,"about_ca_system_score_gemma":0.000043765653,"threshold_uncertainty_score":0.63929474},"labels":[],"label_agreement":null},{"id":"W4366083753","doi":"10.7554/elife.84512","title":"Spike-phase coupling patterns reveal laminar identity in primate cortex","year":2023,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Eye Institute; Canadian Institutes of Health Research; Alliance de recherche numérique du Canada; National Alliance for Research on Schizophrenia and Depression; National Science Foundation; National Institutes of Health; Canada First Research Excellence Fund","keywords":"Laminar flow; Neuroscience; Laminar organization; Cerebral cortex; Electrophysiology; Cortex (anatomy); Computer science; Biology; Pattern recognition (psychology); Physics; Artificial intelligence; Mechanics","score_opus":0.04108799778709022,"score_gpt":0.34282455746171825,"score_spread":0.30173655967462804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366083753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981827,0.000004449206,0.00024391238,0.00027800427,0.0007411394,0.00016087951,0.0000326925,0.00016350638,0.00019272923],"genre_scores_gemma":[0.9980826,0.00008459795,0.000009656945,0.00068365433,0.000092365124,0.000012005398,0.000015189841,0.000016363258,0.0010036015],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988623,0.000027185188,0.00020639585,0.00032223793,0.00031079724,0.0002710538],"domain_scores_gemma":[0.9995979,0.000085577594,0.000064245505,0.00017880245,0.000016888955,0.00005660724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028786305,0.00009480238,0.000117772,0.0001259181,0.00009667716,0.00006415934,0.00013339338,0.00003943713,0.000036410867],"category_scores_gemma":[0.00023926732,0.000092897455,0.00003994207,0.00055397936,0.00002532933,0.00026779008,0.000105231025,0.00014951233,0.00041884874],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046764,0.0001454017,0.023081133,0.000059537182,0.0000017287842,0.0006690928,0.0001596654,0.00048589104,0.9706526,0.0019555325,0.0010292421,0.0017134227],"study_design_scores_gemma":[0.0029417404,0.00041723577,0.5077763,0.0001781553,0.0000147748615,0.00005833134,0.0001518086,0.32918817,0.15394112,0.0011566425,0.0035100353,0.0006656514],"about_ca_topic_score_codex":0.00004627099,"about_ca_topic_score_gemma":0.00008072606,"teacher_disagreement_score":0.8167115,"about_ca_system_score_codex":0.00004046496,"about_ca_system_score_gemma":0.000016301221,"threshold_uncertainty_score":0.5383593},"labels":[],"label_agreement":null},{"id":"W4366506622","doi":"10.1038/s41562-023-01592-y","title":"Multiplexing working memory and time in the trajectories of neural networks","year":2023,"lang":"en","type":"article","venue":"Nature Human Behaviour","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"National Institutes of Health; National Institute of Neurological Disorders and Stroke; U.S. Department of Health and Human Services","keywords":"Working memory; Recurrent neural network; Task (project management); Artificial neural network; Excitatory postsynaptic potential; Neuroscience; Computer science; Multiplexing; Cognition; Artificial intelligence; Psychology; Inhibitory postsynaptic potential","score_opus":0.031741107259236824,"score_gpt":0.28093031536699753,"score_spread":0.2491892081077607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366506622","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99892575,0.00005537875,0.0000022370248,0.00018520345,0.0003237721,0.00017203172,0.0000043376203,0.000061729304,0.00026957967],"genre_scores_gemma":[0.99930435,0.0000063231537,0.000005185385,0.0002801178,0.00010801961,0.00000837254,0.000009253909,0.000013136358,0.00026526078],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99910414,0.000110628,0.00015316468,0.00023516134,0.00020004125,0.00019686337],"domain_scores_gemma":[0.9994999,0.0002550356,0.000066284905,0.00014687417,0.00001150703,0.000020374036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026725596,0.000101680664,0.000117036165,0.00011234271,0.0001708242,0.000049124446,0.00018416594,0.00013363604,0.000009275257],"category_scores_gemma":[0.000093988565,0.00007352835,0.00004074197,0.0004894001,0.00007952813,0.00008028091,0.000055912747,0.0006340388,0.0000014968476],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009820742,0.00016563213,0.17424667,0.00004080625,0.0000053445333,0.00033660114,0.0035128053,0.00544372,0.7951089,0.0076720975,0.0015149305,0.011854272],"study_design_scores_gemma":[0.00071160047,0.00013649715,0.90797734,0.000064575775,0.000020349724,0.00004506042,0.0003287958,0.08325366,0.006280728,0.00078360335,0.00011044005,0.0002873685],"about_ca_topic_score_codex":0.000016867203,"about_ca_topic_score_gemma":0.000051445488,"teacher_disagreement_score":0.7888282,"about_ca_system_score_codex":0.000010762441,"about_ca_system_score_gemma":0.0000034822656,"threshold_uncertainty_score":0.29983988},"labels":[],"label_agreement":null},{"id":"W4366596341","doi":"10.3389/fnsys.2023.1193488","title":"Editorial: Deciphering population neuronal dynamics: from theories to experiments","year":2023,"lang":"en","type":"editorial","venue":"Frontiers in Systems Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Biotechnology and Biological Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Academy of Medical Sciences; Wellcome Trust; National Institutes of Health; National Science Foundation","keywords":"Neuroscience; Dynamics (music); Population; Cognitive science; Psychology; Medicine; Environmental health","score_opus":0.016763373320436103,"score_gpt":0.27389071132496834,"score_spread":0.25712733800453225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366596341","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0071602734,0.00003502482,0.004611667,0.000055394114,0.98566484,0.00094377564,0.0009760019,0.00040212457,0.0001508883],"genre_scores_gemma":[0.017451122,0.00010113718,0.00013272186,0.00013574374,0.978927,0.0003019739,0.00020015954,0.00020539525,0.002544712],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99219656,0.00057032047,0.0009893032,0.0024166643,0.0028320674,0.0009951028],"domain_scores_gemma":[0.9968403,0.0013392543,0.0005039289,0.0008959722,0.00011333414,0.00030721602],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00067284924,0.0006832098,0.0008540539,0.00066800765,0.00034382183,0.0008810056,0.0016806236,0.00067504065,0.0000025696893],"category_scores_gemma":[0.009317888,0.0006941941,0.00014959925,0.001743767,0.00018788369,0.00066214066,0.0005721831,0.0011060694,0.00005835264],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000103016224,0.000041547653,0.00057170267,0.000042822085,0.0000020929492,0.000040334835,0.00011123846,0.0038798258,0.012857955,0.00015881182,0.98170346,0.00048722152],"study_design_scores_gemma":[0.000556455,0.00026606373,0.0007349111,0.00042036263,0.000017243354,0.0000016466051,0.00015755775,0.05415125,0.00042539343,0.00084280904,0.9413424,0.0010838722],"about_ca_topic_score_codex":0.0012617979,"about_ca_topic_score_gemma":0.00011552904,"teacher_disagreement_score":0.05027142,"about_ca_system_score_codex":0.00087689934,"about_ca_system_score_gemma":0.00017579964,"threshold_uncertainty_score":0.99955094},"labels":[],"label_agreement":null},{"id":"W4366602404","doi":"10.1093/brain/awad125","title":"Cortical microstructural gradients capture memory network reorganization in temporal lobe epilepsy","year":2023,"lang":"en","type":"article","venue":"Brain","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; McGill University; Montreal Neurological Institute and Hospital","funders":"Institute for Information and Communications Technology Promotion; Science and Engineering Research Council; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Fonds de Recherche du Québec - Santé; Institute for Basic Science; National Research Foundation of Korea; Canada Research Chairs; Hospital for Sick Children; National Research Foundation; Brain Research UK","keywords":"Temporal lobe; Epilepsy; Neuroscience; Psychology","score_opus":0.01630473891078917,"score_gpt":0.24294069304780425,"score_spread":0.22663595413701507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366602404","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995256,0.0000071731306,0.00007142799,0.0024930825,0.0013521144,0.0002446379,0.000016386859,0.0001835022,0.00037567105],"genre_scores_gemma":[0.994589,0.000006050475,0.00005293827,0.0026732436,0.00020045812,0.0000069390703,0.00007690577,0.000027715108,0.002366808],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985526,0.00017940112,0.00024312396,0.00041056323,0.0002087618,0.00040555114],"domain_scores_gemma":[0.99943376,0.00021824596,0.00006512231,0.00018457542,0.000018940267,0.00007935868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002302447,0.00013784664,0.00014373161,0.000107680076,0.00015287768,0.00005689659,0.0001675238,0.0000957301,0.00006267876],"category_scores_gemma":[0.00078010256,0.00012589105,0.000042579475,0.0013491671,0.00007833309,0.00014327973,0.00008990511,0.0002548866,0.00016951676],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000114905706,0.000051851646,0.08686567,0.00003055249,0.0000037622417,0.00034716044,0.0005487295,0.002589641,0.8417983,0.0064406535,0.058642805,0.0025659725],"study_design_scores_gemma":[0.001971539,0.00020337991,0.89430565,0.00008048521,0.000011678188,0.00019010129,0.0002157595,0.060750157,0.020071613,0.014013791,0.0073926775,0.00079316535],"about_ca_topic_score_codex":0.000044709872,"about_ca_topic_score_gemma":0.000109995206,"teacher_disagreement_score":0.8217267,"about_ca_system_score_codex":0.00005358011,"about_ca_system_score_gemma":0.00002484269,"threshold_uncertainty_score":0.51336884},"labels":[],"label_agreement":null},{"id":"W4366703917","doi":"10.7554/elife.83232.sa2","title":"Author response: TMS-evoked responses are driven by recurrent large-scale network dynamics","year":2022,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Transcranial magnetic stimulation; Electroencephalography; Computer science; Neuroscience; Brain activity and meditation; Neurophysiology; Network dynamics; Human Connectome Project; Artificial intelligence; Psychology; Stimulation; Functional connectivity; Mathematics","score_opus":0.04409331846449801,"score_gpt":0.3208785573577705,"score_spread":0.2767852388932725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366703917","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0073087113,0.025492363,0.0017453685,0.8305522,0.06567888,0.0070258216,0.048012953,0.00200626,0.012177441],"genre_scores_gemma":[0.00045068547,0.004852607,0.00015593714,0.017237898,0.00051241886,0.00039971372,0.0025202157,0.00018555726,0.97368497],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99105406,0.003169483,0.0010005552,0.0019679798,0.0016122877,0.0011956228],"domain_scores_gemma":[0.99466515,0.0021931657,0.001247054,0.001399289,0.00016851859,0.00032681684],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002313541,0.0008469192,0.0011894945,0.00026416458,0.0009821027,0.00019611105,0.0013101758,0.00043078372,0.0056693833],"category_scores_gemma":[0.004312942,0.00077118067,0.00058236276,0.0013945805,0.00014742886,0.00015819467,0.0010549872,0.002021073,0.00020323328],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001157203,0.00018725195,0.000035099165,0.0004671063,0.00001625855,0.0000875061,0.000017161601,0.000074877265,0.0005988573,0.0003155536,0.9953841,0.0016590179],"study_design_scores_gemma":[0.00034845274,0.0004674837,0.00022304768,0.0009501294,0.00011877492,0.000060723374,0.00003490016,0.015489155,0.000029126059,0.00020120194,0.9812016,0.0008754321],"about_ca_topic_score_codex":0.00002538544,"about_ca_topic_score_gemma":0.00044754441,"teacher_disagreement_score":0.9615075,"about_ca_system_score_codex":0.00079610205,"about_ca_system_score_gemma":0.00034594012,"threshold_uncertainty_score":0.9994739},"labels":[],"label_agreement":null},{"id":"W4366768049","doi":"","title":"Synchrony as a Tool to Establish Focus of Attention for Autonomous Robots","year":2012,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"NeuroDevNet","funders":"","keywords":"Robot; Focus (optics); Computer science; Human–computer interaction; Artificial intelligence","score_opus":0.01740963371135154,"score_gpt":0.2409969110354921,"score_spread":0.22358727732414055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366768049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8367179,0.000072047675,0.14102203,0.0056400206,0.00038775062,0.00072988635,0.000045351047,0.00013511609,0.015249891],"genre_scores_gemma":[0.98206955,0.000022308815,0.009695574,0.00024734833,0.000027662018,0.00008123127,0.000029262175,0.000026291078,0.007800746],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977714,0.0008914391,0.00033370798,0.00038099854,0.00026234286,0.0003601544],"domain_scores_gemma":[0.9973021,0.0010585443,0.00022418315,0.00070556725,0.0005551742,0.00015443363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020021722,0.00014888583,0.00018134022,0.00013645315,0.00024284753,0.00012184919,0.0004188973,0.00007536274,0.00006587124],"category_scores_gemma":[0.0032762429,0.00015128344,0.00012780582,0.00043857849,0.00008239285,0.00037907355,0.00019413726,0.000107343134,0.0000548819],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033757497,0.0005196762,0.0013877043,0.000049812403,0.000008460963,6.624284e-7,0.0013187263,0.000053846125,0.6955301,0.20658529,0.000877181,0.09363479],"study_design_scores_gemma":[0.00078920455,0.000005087238,0.013861216,0.00027726608,0.0000331352,0.000024264296,0.00004954123,0.01268948,0.9463915,0.0028640574,0.02261979,0.00039546142],"about_ca_topic_score_codex":0.00022027196,"about_ca_topic_score_gemma":0.00013174614,"teacher_disagreement_score":0.2508614,"about_ca_system_score_codex":0.00007514351,"about_ca_system_score_gemma":0.00006313047,"threshold_uncertainty_score":0.616916},"labels":[],"label_agreement":null},{"id":"W4366773391","doi":"10.3390/brainsci13040695","title":"Prolonged Intrinsic Neural Timescales Dissociate from Phase Coherence in Schizophrenia","year":2023,"lang":"en","type":"article","venue":"Brain Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Universität Wien; Canadian Institutes of Health Research; European Commission","keywords":"Schizophrenia (object-oriented programming); Coherence (philosophical gambling strategy); Psychology; Electroencephalography; Neuroscience; Phase coherence; Synchronization (alternating current); Audiology; Cognitive psychology; Physics; Computer science; Medicine; Psychiatry","score_opus":0.053387647738912254,"score_gpt":0.3189809951773783,"score_spread":0.2655933474384661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366773391","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910615,0.000019790506,0.000012068386,0.0071098367,0.00060258625,0.0002827217,0.000057956386,0.0002264083,0.00062709855],"genre_scores_gemma":[0.9981111,0.000011220863,0.000053810665,0.0010300138,0.000085259635,0.00003330071,0.000010945377,0.000009951428,0.0006543577],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99782944,0.00022531842,0.00026454282,0.0007167921,0.00049048476,0.00047342727],"domain_scores_gemma":[0.99860734,0.0009943593,0.000111112895,0.00018206901,0.000015607899,0.000089493384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006031958,0.00015877342,0.00018505337,0.0002570034,0.00038352708,0.00021439962,0.00056441594,0.000056662535,0.00009813369],"category_scores_gemma":[0.0014990806,0.00012860983,0.00005531226,0.0026281804,0.0005142579,0.00045893484,0.00016137383,0.00019728736,0.0002736233],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018316264,0.00018790149,0.007450502,0.000008177076,0.0000026367175,0.00014521922,0.00046730466,0.00047773562,0.87104523,0.0025718324,0.003263777,0.11419651],"study_design_scores_gemma":[0.0067753475,0.0013061606,0.36266035,0.00013521042,0.000014851124,0.000026179,0.00047086627,0.47286806,0.09190112,0.0589567,0.003550538,0.001334623],"about_ca_topic_score_codex":0.00009904712,"about_ca_topic_score_gemma":0.0001967838,"teacher_disagreement_score":0.7791441,"about_ca_system_score_codex":0.000029286726,"about_ca_system_score_gemma":0.000065448636,"threshold_uncertainty_score":0.52445567},"labels":[],"label_agreement":null},{"id":"W4366775400","doi":"10.31234/osf.io/6afs3","title":"The inner screen model of consciousness: applying the free energy principle directly to the study of conscious experience","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"John Templeton Foundation","keywords":"Consciousness; Covert; Action (physics); Cognitive science; Focus (optics); Energy (signal processing); Quantum; Psychology; Holography; Computer science; Cognitive psychology; Neuroscience; Physics; Philosophy; Quantum mechanics; Linguistics; Optics","score_opus":0.0684512363095466,"score_gpt":0.3004691723267914,"score_spread":0.2320179360172448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366775400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.983447,0.000036553127,0.006855473,0.002653206,0.0013398502,0.003345311,0.00015121776,0.00015265495,0.0020186899],"genre_scores_gemma":[0.9936508,0.000086801134,0.00005201778,0.00075158407,0.00006357973,0.0013632164,0.000002228909,0.000041794523,0.0039879903],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965866,0.0003840844,0.00096962904,0.0007842188,0.00090945046,0.00036597374],"domain_scores_gemma":[0.9949236,0.0017066052,0.00086266256,0.0022466653,0.00019491615,0.00006556832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010352558,0.00031626617,0.00042661256,0.0001010785,0.0006484155,0.00015211335,0.002859756,0.00010720146,0.0000074376126],"category_scores_gemma":[0.0021193635,0.00014062849,0.00015702721,0.0005561908,0.00051838835,0.000055084398,0.0041966834,0.00044181568,0.0000053906956],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041416474,0.00082941353,0.0018818135,0.00009867779,0.00015551287,0.000016873264,0.015468702,0.64541584,0.21165225,0.10493308,0.0054491335,0.013684552],"study_design_scores_gemma":[0.0008754685,0.0004946817,0.0011902635,0.00013491775,0.00010246882,0.000009527906,0.010479435,0.89947486,0.063780345,0.01730328,0.005380257,0.0007744928],"about_ca_topic_score_codex":0.0028933478,"about_ca_topic_score_gemma":0.0078119263,"teacher_disagreement_score":0.25405905,"about_ca_system_score_codex":0.000038255646,"about_ca_system_score_gemma":0.00014367483,"threshold_uncertainty_score":0.57346636},"labels":[],"label_agreement":null},{"id":"W4367024432","doi":"10.7554/elife.67684.sa0","title":"Editor's evaluation: Interacting rhythms enhance sensitivity of target detection in a fronto-parietal computational model of visual attention","year":2021,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Columbia College","funders":"","keywords":"Rhythm; Working memory; Cognitive psychology; Computer science; Neuroscience; Flexibility (engineering); Computational model; Task (project management); Visual search; Psychology; Cognition; Artificial intelligence; Cognitive science; Physics","score_opus":0.040095882935139215,"score_gpt":0.3452807940949245,"score_spread":0.3051849111597853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367024432","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22050662,0.0017493066,0.69741446,0.0064943354,0.065950796,0.0036852253,0.0010518468,0.00013598282,0.0030113955],"genre_scores_gemma":[0.99052787,0.00022108764,0.0018228784,0.0003886189,0.0011894564,0.00006009194,0.0009387662,0.000033998556,0.004817236],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99634624,0.00071126746,0.0008638103,0.0006742628,0.0012119662,0.00019244626],"domain_scores_gemma":[0.997384,0.0006846382,0.000889493,0.00019225864,0.00081044785,0.000039170296],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001497014,0.0002589097,0.0006250114,0.00018864282,0.000063513064,0.000027868009,0.00008043803,0.00019116815,0.00015900789],"category_scores_gemma":[0.002261865,0.0002631755,0.0002382272,0.0003997447,0.000070063936,0.00033443538,0.000114062364,0.0004692997,0.0000045614966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012369819,0.0006251892,0.000026070842,0.0031897898,0.000039700903,0.000013887675,0.00007634725,0.3378731,0.6000928,0.000075263735,0.02378316,0.03408094],"study_design_scores_gemma":[0.00023734667,0.00008068565,0.00010459435,0.0015020623,0.00005746093,0.000027149492,0.000015178291,0.97403604,0.022834577,0.00026492134,0.0006315633,0.00020840777],"about_ca_topic_score_codex":0.00018786821,"about_ca_topic_score_gemma":0.000572816,"teacher_disagreement_score":0.77002126,"about_ca_system_score_codex":0.00020496106,"about_ca_system_score_gemma":0.00029433856,"threshold_uncertainty_score":0.99998206},"labels":[],"label_agreement":null},{"id":"W4367053718","doi":"10.31219/osf.io/x7wpj","title":"Diminished state space theory of human aging","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Deutsche Forschungsgemeinschaft","keywords":"Representation (politics); Cognition; Space (punctuation); Psychology; Computer science; Cognitive science; State (computer science); Function (biology); Cognitive psychology; State space; Cognitive aging; Neuroscience; Political science; Mathematics","score_opus":0.07915574591608503,"score_gpt":0.30679551127950594,"score_spread":0.2276397653634209,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367053718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97782046,0.0000053128038,0.0025966177,0.0008576612,0.0017955102,0.00034208826,0.000057548605,0.00037462232,0.016150163],"genre_scores_gemma":[0.95407885,0.00003959125,0.000060831935,0.00025109644,0.000050983646,0.00001309307,0.000011645676,0.000038371367,0.045455538],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99856824,0.00015319938,0.00026643704,0.0005502578,0.00025592043,0.00020592687],"domain_scores_gemma":[0.9989127,0.00033964915,0.0002093597,0.00046177546,0.000030279216,0.000046254478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034806898,0.00017634631,0.0002345466,0.00014542129,0.00008396307,0.00006337745,0.00032658933,0.00007833606,0.000109172586],"category_scores_gemma":[0.0002412847,0.00014951805,0.00012075501,0.00014210172,0.00010032012,0.00004649881,0.000814418,0.0003688777,0.00005193847],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024905134,0.00005830779,0.00031763193,0.00026700698,0.00001384505,0.000040815714,0.00036540203,0.0014094837,0.89087415,0.10306769,0.0011564287,0.0024043298],"study_design_scores_gemma":[0.00026239108,0.00012437228,0.0047900286,0.00018436262,0.000028135826,0.000003917778,0.000112774105,0.0060318573,0.49549824,0.49210984,0.00036562592,0.00048845995],"about_ca_topic_score_codex":0.000072773044,"about_ca_topic_score_gemma":0.000026233478,"teacher_disagreement_score":0.3953759,"about_ca_system_score_codex":0.000022658058,"about_ca_system_score_gemma":0.00003017716,"threshold_uncertainty_score":0.6097169},"labels":[],"label_agreement":null},{"id":"W4367187170","doi":"10.1016/j.neuroimage.2023.120142","title":"Unsupervised representation learning of spontaneous MEG data with nonlinear ICA","year":2023,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Academy of Finland; European Research Council; Canadian Institute for Advanced Research","keywords":"Magnetoencephalography; Computer science; Independent component analysis; Artificial intelligence; Pattern recognition (psychology); Unsupervised learning; Decoding methods; Generalizability theory; Representation (politics); Machine learning; Speech recognition; Electroencephalography; Psychology; Neuroscience","score_opus":0.07277255043737878,"score_gpt":0.3034520202294717,"score_spread":0.23067946979209292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367187170","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965931,0.0000018247279,0.00020129171,0.0005064049,0.00017132239,0.00017858972,0.000054334174,0.00022652472,0.0020666001],"genre_scores_gemma":[0.9977619,0.00005076287,0.00020493919,0.00023534248,0.000055651453,0.0000033187125,0.00012049258,0.00003095033,0.0015366235],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986107,0.0001409806,0.00017702088,0.0005416228,0.0003353795,0.00019430912],"domain_scores_gemma":[0.9988576,0.00035534054,0.00009369648,0.0006140498,0.00003280053,0.00004647744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012803222,0.000104360006,0.00013240144,0.000107424006,0.00011258079,0.000042813634,0.0003583275,0.000026695052,0.000036225872],"category_scores_gemma":[0.00080107653,0.00008771642,0.000026174044,0.00073940645,0.00007603295,0.00025539714,0.00021475666,0.00019717841,0.00008711938],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001316496,0.000035327193,0.00078153115,0.000021263111,0.0000021651085,0.0012026578,0.000057985,0.0017651602,0.9914216,0.00009238813,0.00032154884,0.0041667237],"study_design_scores_gemma":[0.0010530574,0.0007549548,0.024585908,0.000035914883,0.000035114183,0.00081052113,0.00010261255,0.85167795,0.11103014,0.00010314545,0.009488498,0.00032219163],"about_ca_topic_score_codex":0.000026765163,"about_ca_topic_score_gemma":0.000008636446,"teacher_disagreement_score":0.8803915,"about_ca_system_score_codex":0.000006464171,"about_ca_system_score_gemma":0.000022473896,"threshold_uncertainty_score":0.3576972},"labels":[],"label_agreement":null},{"id":"W4367187781","doi":"10.1016/j.celrep.2023.112449","title":"Ensembles code for associative learning in the primate lateral prefrontal cortex","year":2023,"lang":"en","type":"article","venue":"Cell Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Ottawa Hospital; University of Ottawa","funders":"Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Associative learning; Neuroscience; Primate; Stimulus (psychology); Prefrontal cortex; Associative property; Psychology; Cognition; Saccade; Cognitive psychology; Eye movement","score_opus":0.029205010273079937,"score_gpt":0.2758945392502365,"score_spread":0.24668952897715657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367187781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99467653,0.0000047198714,0.000035040517,0.00024412181,0.00044613032,0.0003533866,0.000008299751,0.00009305033,0.0041387463],"genre_scores_gemma":[0.991022,0.000011919993,0.000012441459,0.00025725184,0.000038891932,0.000047860958,0.000019339237,0.000013027055,0.008577288],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99903876,0.000081271806,0.00019797054,0.00027787982,0.00017582839,0.00022827227],"domain_scores_gemma":[0.99935216,0.00032435858,0.0001750026,0.00011242574,0.000016509095,0.00001957166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042334766,0.00007907945,0.00009647985,0.000044790686,0.00016105578,0.00005688362,0.00006847474,0.000038616436,0.0000057425063],"category_scores_gemma":[0.00038729687,0.000056691082,0.00005339645,0.00018875443,0.000022279328,0.00008085945,0.000033830227,0.00013502126,0.000013334805],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032235497,0.00006026978,0.017486349,0.000033438228,0.0000026130263,0.00088951277,0.0017397297,0.0006204991,0.9750303,0.00020920434,0.002520245,0.0013756298],"study_design_scores_gemma":[0.0010073463,0.0006088024,0.5792665,0.00006356923,0.000034535584,0.00036003542,0.0008841989,0.08012235,0.27441326,0.011637636,0.050934095,0.0006676702],"about_ca_topic_score_codex":0.000010757513,"about_ca_topic_score_gemma":0.00003538789,"teacher_disagreement_score":0.700617,"about_ca_system_score_codex":0.000038857444,"about_ca_system_score_gemma":0.000023586646,"threshold_uncertainty_score":0.23117952},"labels":[],"label_agreement":null},{"id":"W4367295936","doi":"10.1101/2023.04.25.538296","title":"Organization of orbitofrontal-auditory pathways in the Mongolian gerbil","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Illinois at Urbana-Champaign; York University","keywords":"Medial geniculate body; Auditory cortex; Neuroscience; Inferior colliculus; Orbitofrontal cortex; Sensory system; Thalamus; Psychology; Midbrain; Auditory system; Prefrontal cortex; Cognition; Central nervous system; Nucleus","score_opus":0.027447312332132223,"score_gpt":0.21524395373746305,"score_spread":0.18779664140533084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367295936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99473315,0.000029488921,0.00029667557,0.00040587827,0.0033714825,0.00068295817,0.00017970211,0.00028722553,0.000013453807],"genre_scores_gemma":[0.99871135,0.00016827502,0.00010832414,0.00031062457,0.00049076206,0.00008233913,5.185585e-7,0.000118628035,0.0000092032615],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9973187,0.0003053153,0.00054642156,0.00087911694,0.00056056364,0.0003899111],"domain_scores_gemma":[0.9979307,0.00023211012,0.0004622766,0.0010835407,0.00021022218,0.0000811456],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00059356197,0.0003652191,0.00037594035,0.00031349898,0.00014407535,0.00014547141,0.00086643687,0.00035508903,0.000020034384],"category_scores_gemma":[0.0011355435,0.00031410443,0.00010001223,0.0013733617,0.00013491561,0.00015522855,0.000420066,0.00073776767,0.000094191375],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007530281,0.00011443288,0.0044774273,0.00018251255,0.000007584916,0.00007048537,0.000035401583,0.0003198882,0.9926175,0.0015591456,0.00060669135,0.0000014039883],"study_design_scores_gemma":[0.0003886305,0.00006805816,0.35836923,0.0003016411,0.000040828963,4.790332e-8,0.00001591649,0.0025482466,0.63655066,0.000035411296,0.0010454695,0.00063585397],"about_ca_topic_score_codex":0.000091360664,"about_ca_topic_score_gemma":0.000009924198,"teacher_disagreement_score":0.35606682,"about_ca_system_score_codex":0.00017835491,"about_ca_system_score_gemma":0.0002896656,"threshold_uncertainty_score":0.9999311},"labels":[],"label_agreement":null},{"id":"W4367394382","doi":"10.1038/s41598-023-33951-0","title":"Enriched environment exposure during development positively impacts the structure and function of the visual cortex in mice","year":2023,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Visual cortex; Environmental enrichment; Cortex (anatomy); Biology; Visual field; Neuroscience; Psychology","score_opus":0.010819018730860032,"score_gpt":0.2186374465076155,"score_spread":0.20781842777675547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367394382","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99741364,0.000015979913,0.000006786832,0.0001411356,0.0020710123,0.0002997138,0.0000022138927,0.000019297082,0.000030236435],"genre_scores_gemma":[0.99912095,0.000005046543,0.000005289521,0.000041273754,0.000015165136,0.000005489283,0.000005054967,0.00000742991,0.0007942735],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99850917,0.00008061377,0.00029944186,0.00046545634,0.0004431837,0.00020213387],"domain_scores_gemma":[0.9994299,0.00005573727,0.00022391492,0.0002374854,0.000016212636,0.00003679112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049185334,0.00009830454,0.00008726763,0.00009733357,0.00041048485,0.00009142415,0.000090799054,0.000037196707,0.000015658938],"category_scores_gemma":[0.00013803235,0.00005635918,0.000030729003,0.00059925363,0.0001813796,0.00011038627,0.00015844706,0.000117849566,0.000003223572],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001236345,0.000015265696,0.016415125,0.000012501942,0.0000021609944,0.00003228428,0.00044590357,0.00017611038,0.9819849,0.000016502974,0.000042229847,0.0008446635],"study_design_scores_gemma":[0.00006927694,0.000014752626,0.6516656,0.000011317814,0.0000035600954,0.000060626608,0.00006671541,0.00022729323,0.3472217,0.00040051536,0.00020849377,0.000050114115],"about_ca_topic_score_codex":0.000008768907,"about_ca_topic_score_gemma":0.000026694286,"teacher_disagreement_score":0.6352505,"about_ca_system_score_codex":0.000051511477,"about_ca_system_score_gemma":0.000052087642,"threshold_uncertainty_score":0.3157159},"labels":[],"label_agreement":null},{"id":"W4367672446","doi":"10.21203/rs.3.rs-2356429/v2","title":"Gain neuromodulation mediates perceptual switches: evidence from pupillometry, fMRI, and RNN Modelling","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Neuromodulation; Pupillometry; Neuroscience; Psychology; Recurrent neural network; Perception; Cognitive psychology; Computer science; Artificial intelligence; Pupil; Stimulation; Artificial neural network","score_opus":0.31455026744905623,"score_gpt":0.4039605146364574,"score_spread":0.08941024718740115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367672446","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891166,0.0004527739,0.0057020797,0.0022479335,0.00089332537,0.0009978014,0.0002325337,0.00028642995,0.000070507645],"genre_scores_gemma":[0.9924193,0.0057839975,0.00022291797,0.00007828867,0.0005732016,0.0001370942,0.00013156651,0.00009610964,0.0005575283],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9941202,0.0009028741,0.0004444806,0.0017937651,0.0019857984,0.00075292465],"domain_scores_gemma":[0.9935512,0.0049312604,0.0001424838,0.0008112722,0.00027781117,0.00028596123],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016950285,0.00035877916,0.00038665097,0.0007812256,0.0004884323,0.0006568014,0.0006564465,0.0003812195,0.00009033835],"category_scores_gemma":[0.005739915,0.0003349115,0.00013681865,0.00091269956,0.00029874165,0.00036463057,0.0019533196,0.002125715,0.00021859896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037181054,0.0002175358,0.015003222,0.0017155064,0.000041774092,0.0003185752,0.004736808,0.26430938,0.69520694,0.00063187117,0.0022134474,0.015233116],"study_design_scores_gemma":[0.00017401783,0.0001999255,0.010230079,0.0011001457,0.0000137784455,0.0000043119912,0.0003493387,0.9592834,0.007869156,0.020277537,0.000104316176,0.00039400885],"about_ca_topic_score_codex":0.0017447012,"about_ca_topic_score_gemma":0.00008572227,"teacher_disagreement_score":0.694974,"about_ca_system_score_codex":0.0001893502,"about_ca_system_score_gemma":0.00016363534,"threshold_uncertainty_score":0.9999103},"labels":[],"label_agreement":null},{"id":"W4367836220","doi":"10.1101/2023.05.03.539222","title":"Evoked Responses to Localized Sounds Suggest Linear Representation of Elevation in Human Auditory Cortex","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Stiftung der Deutschen Wirtschaft","keywords":"Binaural recording; Monaural; Auditory cortex; Elevation (ballistics); Sound localization; Population; Precedence effect; Cortex (anatomy); Neuroscience; Psychology; Computer science; Speech recognition; Physics; Medicine","score_opus":0.043791004954822424,"score_gpt":0.29197930644134334,"score_spread":0.24818830148652093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367836220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99467754,0.000013134616,0.00101252,0.0003241231,0.0023731897,0.0010320627,0.00019423553,0.00036545473,0.0000077482255],"genre_scores_gemma":[0.9984779,0.000059292393,0.00039565473,0.00020829037,0.0004110962,0.00021547393,0.0000015518048,0.00012052381,0.00011022844],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9962678,0.00047500836,0.00088548864,0.0012822882,0.0006571329,0.00043229086],"domain_scores_gemma":[0.9973413,0.00044557411,0.0006108406,0.0011033337,0.00033768834,0.0001612644],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00078028726,0.00039921596,0.00056729803,0.0009176903,0.00015458724,0.00011402305,0.0005132576,0.00038621094,0.000023509754],"category_scores_gemma":[0.0029048978,0.0004567176,0.00014116676,0.0016544485,0.00013501232,0.00018633333,0.00044017026,0.0006104705,0.00006972063],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019658286,0.00011282961,0.0078117764,0.00015985146,0.000011694571,0.000045656987,0.000015297082,0.0010631518,0.9896539,0.00062708714,0.00030102287,0.0000011817983],"study_design_scores_gemma":[0.00062430825,0.00014716167,0.38997295,0.0003380743,0.000030644216,1.5136912e-8,0.000004562348,0.0052853166,0.6024631,0.000035190365,0.00058813964,0.0005104751],"about_ca_topic_score_codex":0.00023879683,"about_ca_topic_score_gemma":0.000027944448,"teacher_disagreement_score":0.38719073,"about_ca_system_score_codex":0.0003237165,"about_ca_system_score_gemma":0.00030408124,"threshold_uncertainty_score":0.99978846},"labels":[],"label_agreement":null},{"id":"W4367837406","doi":"10.1101/2023.05.03.539191","title":"How well do models of visual cortex generalize to out of distribution samples?","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Visual cortex; Artificial intelligence; Computer science; Generalization; Artificial neural network; Cognitive neuroscience of visual object recognition; Robustness (evolution); Machine learning; Stimulus (psychology); Pattern recognition (psychology); Neuroscience; Object (grammar); Psychology; Biology; Cognitive psychology; Mathematics","score_opus":0.046872897944098234,"score_gpt":0.2559952981862987,"score_spread":0.20912240024220044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367837406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9621761,0.00004153129,0.03117523,0.00036054695,0.0026297458,0.0008266369,0.002533281,0.00025215338,0.0000047881526],"genre_scores_gemma":[0.99864525,0.00016584432,0.0005917855,0.00013197264,0.00022776214,0.00008776784,0.000002628003,0.00010565027,0.000041347237],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.996904,0.00016559263,0.00061844103,0.001172229,0.0006602625,0.00047948182],"domain_scores_gemma":[0.9975365,0.00014294175,0.00067900855,0.0009779666,0.0004300177,0.00023361406],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00039066275,0.00045528656,0.00066241215,0.00025693246,0.000098200886,0.00017786323,0.00059997657,0.00036121972,0.0000121878375],"category_scores_gemma":[0.00062121544,0.0004742278,0.00023089311,0.00070576696,0.00014051494,0.00019442421,0.00069665554,0.00042414825,0.00003065531],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055491848,0.00013210851,0.000474414,0.00028618728,0.000024227405,0.000013198167,0.0000058791834,0.0018380962,0.9921277,0.004622362,0.00041750632,0.0000028378586],"study_design_scores_gemma":[0.0003513371,0.0001957966,0.020084165,0.00029694414,0.00007281145,1.1271647e-8,0.0000027420144,0.01658631,0.9601268,0.00007073042,0.0015891256,0.0006232156],"about_ca_topic_score_codex":0.000069694535,"about_ca_topic_score_gemma":0.000004874937,"teacher_disagreement_score":0.036469154,"about_ca_system_score_codex":0.00017412718,"about_ca_system_score_gemma":0.00022459314,"threshold_uncertainty_score":0.99977094},"labels":[],"label_agreement":null},{"id":"W4367849579","doi":"10.1007/s00415-023-11728-9","title":"Decreased aperiodic neural activity in Parkinson’s disease and dementia with Lewy bodies","year":2023,"lang":"en","type":"article","venue":"Journal of Neurology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Movement Disorders","funders":"","keywords":"Dementia with Lewy bodies; Aperiodic graph; Parkinson's disease; Electroencephalography; Neuroscience; Dementia; Neurology; Audiology; Psychology; Disease; Medicine; Internal medicine; Mathematics","score_opus":0.02334176561301948,"score_gpt":0.2494145947855898,"score_spread":0.22607282917257032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367849579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938947,0.00003669273,0.000016008997,0.005618096,0.00030092857,0.0000831712,0.0000037297125,0.000019307545,0.000027347289],"genre_scores_gemma":[0.9978827,0.00018355063,0.0000068106765,0.0018317373,0.000058042464,0.0000034601069,3.4449224e-7,0.000011289282,0.000022042112],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989868,0.00021178913,0.00018549367,0.0002109028,0.0001796704,0.00022535505],"domain_scores_gemma":[0.99930984,0.00026465236,0.00017474816,0.000091866525,0.000021512868,0.00013738718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015117232,0.00010591041,0.00018012775,0.0002440203,0.00008146233,0.000038087586,0.00010854319,0.000032397133,0.000009752102],"category_scores_gemma":[0.00027017508,0.00007861103,0.000041715837,0.00021182165,0.00012367178,0.00021308314,0.000053550557,0.00028597514,0.000003418484],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005611196,0.00020849056,0.5951645,0.000041526917,0.000020945774,0.006589033,0.00012121693,0.0016897814,0.38320544,0.0001213374,0.00047096045,0.006755575],"study_design_scores_gemma":[0.0009247101,0.00091237074,0.9783148,0.0000073324677,0.000028153878,0.0004162204,0.0000049324713,0.015856702,0.000804869,0.00037093333,0.0022713928,0.000087585504],"about_ca_topic_score_codex":0.000007761698,"about_ca_topic_score_gemma":0.00004534174,"teacher_disagreement_score":0.3831503,"about_ca_system_score_codex":0.0000073799097,"about_ca_system_score_gemma":0.000040096336,"threshold_uncertainty_score":0.32056648},"labels":[],"label_agreement":null},{"id":"W4368355877","doi":"10.7554/elife.86548","title":"Theta- and gamma-band oscillatory uncoupling in the macaque hippocampus","year":2023,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Eye Institute; Krembil Foundation; Alzheimer's Society; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada; National Institute of Neurological Disorders and Stroke; Whitehall Foundation","keywords":"Hippocampus; Neuroscience; Macaque; Physics; Biology","score_opus":0.03821385233714875,"score_gpt":0.2668799228922771,"score_spread":0.22866607055512833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4368355877","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996044,0.00003297892,0.00000793072,0.0014139775,0.00035915626,0.00012939509,0.0000036823453,0.00006597934,0.001942902],"genre_scores_gemma":[0.99702144,0.00016756175,0.0000030012409,0.0022564332,0.00008231041,0.000010939229,0.0000012507154,0.00000916831,0.00044791642],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991969,0.00006430854,0.00010931507,0.00022948699,0.0002192205,0.00018076958],"domain_scores_gemma":[0.9994691,0.00031427667,0.000030383115,0.00014838512,0.000007797346,0.00003007547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003193378,0.00007622593,0.000074188734,0.000072349125,0.0001269361,0.00005857843,0.000100878955,0.000034386387,0.000008839092],"category_scores_gemma":[0.00022809986,0.000049755163,0.000023710758,0.00037459718,0.0000555992,0.00007008556,0.000035814683,0.00014786387,0.000074183066],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008336623,0.00008141464,0.034439936,0.00007310314,0.00000720747,0.0004963514,0.002582064,0.002633182,0.9147818,0.012070805,0.010185669,0.022565078],"study_design_scores_gemma":[0.0037147063,0.000608562,0.40276873,0.00019772402,0.00004773144,0.00051955756,0.0020811083,0.23082545,0.18098862,0.06953681,0.107033804,0.0016771983],"about_ca_topic_score_codex":0.000014431276,"about_ca_topic_score_gemma":0.000031290238,"teacher_disagreement_score":0.7337932,"about_ca_system_score_codex":0.0000117490845,"about_ca_system_score_gemma":0.000014057195,"threshold_uncertainty_score":0.20289567},"labels":[],"label_agreement":null},{"id":"W4372183631","doi":"10.1016/j.bandc.2023.105988","title":"Vividness as the similarity between generated imagery and an internal model","year":2023,"lang":"en","type":"article","venue":"Brain and Cognition","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Mental image; Psychology; Perception; Cognitive psychology; Framing (construction); Auditory imagery; Visual perception; Cognitive science; Similarity (geometry); Creative visualization; Cognition; Artificial intelligence; Visualization; Neuroscience; Image (mathematics); Computer science","score_opus":0.06234909202233462,"score_gpt":0.3029402945825336,"score_spread":0.24059120256019895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4372183631","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99445164,0.000004552773,0.0010824817,0.0032204965,0.00008757614,0.00012219923,0.000050472227,0.00009467536,0.0008858913],"genre_scores_gemma":[0.99513173,0.00004908545,0.000011290805,0.0041532656,0.00011090564,0.00001115099,0.00004722699,0.000009305761,0.00047606553],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993137,0.000102207436,0.00009036017,0.00024884168,0.00011663961,0.00012822171],"domain_scores_gemma":[0.99961144,0.00019743262,0.000032043004,0.0000752016,0.000024020115,0.000059885733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020810787,0.00007929142,0.00006709068,0.00005025728,0.00025954546,0.00014174583,0.0000568277,0.00004028831,0.0000097400325],"category_scores_gemma":[0.0002009651,0.000058315123,0.00001656689,0.00017111699,0.00009497323,0.00021698317,0.000058935435,0.00011215646,0.000014154755],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000077451135,0.000039953105,0.0008657466,0.00002612045,0.0000075927874,0.00002722967,0.00040871947,0.000104249375,0.9353243,0.0031051168,0.0020712537,0.057942253],"study_design_scores_gemma":[0.000712181,0.00019493597,0.027599787,0.00003099749,0.000034396948,0.000054999913,0.0001689294,0.8283796,0.05578833,0.086386696,0.00037019036,0.00027895745],"about_ca_topic_score_codex":0.000013596137,"about_ca_topic_score_gemma":0.000007336988,"teacher_disagreement_score":0.879536,"about_ca_system_score_codex":0.0000043524365,"about_ca_system_score_gemma":0.000011360718,"threshold_uncertainty_score":0.23780216},"labels":[],"label_agreement":null},{"id":"W4372286277","doi":"10.7554/elife.84512.sa2","title":"Author response: Spike-phase coupling patterns reveal laminar identity in primate cortex","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Primate; Spike (software development); Identity (music); Laminar flow; Neuroscience; Coupling (piping); Biology; Computer science; Physics; Materials science; Mechanics; Acoustics","score_opus":0.08693705536038684,"score_gpt":0.40491451596633526,"score_spread":0.31797746060594845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4372286277","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7642651,0.0018633737,0.0018495546,0.18176524,0.035548422,0.005946134,0.0052336794,0.0017439383,0.001784551],"genre_scores_gemma":[0.013723695,0.0030895416,0.00004170104,0.0066307816,0.00035342667,0.0001611089,0.0005080987,0.00016936955,0.9753223],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99582547,0.00031161317,0.0009361991,0.0012834227,0.0009947203,0.0006485827],"domain_scores_gemma":[0.997777,0.0007665803,0.00044268652,0.0007566775,0.000103649,0.00015340399],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0022601646,0.00049072196,0.0008121261,0.0004467729,0.00017492106,0.00020230468,0.00070916506,0.00031009314,0.0005076451],"category_scores_gemma":[0.0027824617,0.00044644522,0.00025051832,0.0011413335,0.00007315855,0.00033992113,0.00043238024,0.00096794567,0.00071005226],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045120364,0.00034096144,0.00013136498,0.0054829526,0.000011847609,0.001946279,0.000037436006,0.0000354359,0.055796754,0.00057961117,0.9310462,0.00413995],"study_design_scores_gemma":[0.0026314384,0.0011597911,0.011112251,0.015273153,0.00024498397,0.00021808686,0.000043942946,0.027200883,0.003471246,0.0009820259,0.9351801,0.0024820664],"about_ca_topic_score_codex":0.00029141476,"about_ca_topic_score_gemma":0.00085391296,"teacher_disagreement_score":0.97353774,"about_ca_system_score_codex":0.00026164524,"about_ca_system_score_gemma":0.00018031908,"threshold_uncertainty_score":0.9997987},"labels":[],"label_agreement":null},{"id":"W4372319248","doi":"10.1093/cercor/bhad154","title":"Inter-individual variability during neurodevelopment: an investigation of linear and nonlinear resting-state EEG features in an age-homogenous group of infants","year":2023,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; HEC Montréal; Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research; Kids Brain Health Network; National Science Foundation","keywords":"Electroencephalography; Resting state fMRI; Population; Fractal dimension; Psychology; Approximate entropy; Pattern recognition (psychology); Audiology; Neuroscience; Mathematics; Cognitive psychology; Medicine; Fractal","score_opus":0.0295535690645109,"score_gpt":0.2614817222624753,"score_spread":0.2319281531979644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4372319248","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993247,0.0000023822772,0.000009748547,0.000037010854,0.00019042501,0.00026241012,0.00006930411,0.00008099637,0.000023061855],"genre_scores_gemma":[0.9992635,0.000010795961,0.0004624134,0.00009248197,0.000025143781,0.000006007298,0.000076878685,0.000021796755,0.000040960556],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99826294,0.00027263575,0.0004346251,0.00051771855,0.00025802388,0.00025404763],"domain_scores_gemma":[0.9992247,0.00014905681,0.00019809326,0.00027136056,0.00004689411,0.000109859575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000470162,0.00015812497,0.00023046524,0.00023178078,0.00010467133,0.000037081576,0.00021652343,0.00006818881,0.0000054248662],"category_scores_gemma":[0.00043829324,0.00015215267,0.000028437134,0.00065913016,0.00018057702,0.00039314074,0.00018630248,0.00022986601,0.0000015615472],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013267183,0.000075700715,0.20242916,0.00012672704,0.0000033804283,0.000043086235,0.0024852476,0.00020300233,0.79061157,0.000105876454,0.0000028468316,0.003780721],"study_design_scores_gemma":[0.000425965,0.00032790654,0.9397966,0.00004646343,0.0000059574504,0.000014459841,0.00005886968,0.013691836,0.044429056,0.0010605184,0.0000019135011,0.00014040637],"about_ca_topic_score_codex":0.00013455693,"about_ca_topic_score_gemma":0.00040717368,"teacher_disagreement_score":0.7461825,"about_ca_system_score_codex":0.000020576728,"about_ca_system_score_gemma":0.000040062034,"threshold_uncertainty_score":0.62046057},"labels":[],"label_agreement":null},{"id":"W4372335748","doi":"10.1038/s41586-023-06126-0","title":"Author Correction: Population dynamics of head-direction neurons during drift and reorientation","year":2023,"lang":"en","type":"erratum","venue":"Nature","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"","keywords":"Head (geology); Dynamics (music); Population; Physics; Geology; Paleontology; Demography; Acoustics; Sociology","score_opus":0.014561525538386586,"score_gpt":0.2862080162738741,"score_spread":0.2716464907354875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4372335748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54041594,0.00027284762,0.00013405501,0.004377893,0.44522655,0.0012183413,0.00046363173,0.0010304423,0.006860303],"genre_scores_gemma":[0.5797501,0.00043557174,0.000028926994,0.00025406864,0.0016017683,0.000029252882,0.0015397562,0.00012718292,0.41623333],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9981207,0.00013551684,0.00034828947,0.0006838284,0.00048912206,0.00022252335],"domain_scores_gemma":[0.9990248,0.00014244633,0.00040905335,0.00026221137,0.00009696042,0.00006451553],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0001287917,0.0002645335,0.00029288454,0.00039484174,0.00030332015,0.000073571704,0.00011941492,0.001972032,0.000012735572],"category_scores_gemma":[0.00088193547,0.0002702087,0.00010170517,0.0008458939,0.000052669602,0.00023489713,0.00007494944,0.0036285582,0.0000069815005],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005703148,0.00021865468,0.0046897894,0.0017265211,0.000053398704,0.00010575658,0.00041905724,0.0011684184,0.056781534,0.0076647378,0.8925668,0.03403502],"study_design_scores_gemma":[0.0011951881,0.00065913325,0.651968,0.0011042374,0.00025856993,0.00040376376,0.00014066767,0.25406975,0.0054964353,0.0039343135,0.079259,0.0015109451],"about_ca_topic_score_codex":0.00015062025,"about_ca_topic_score_gemma":0.0009734649,"teacher_disagreement_score":0.8133078,"about_ca_system_score_codex":0.00017757942,"about_ca_system_score_gemma":0.000037893784,"threshold_uncertainty_score":0.999975},"labels":[],"label_agreement":null},{"id":"W4375947830","doi":"10.1523/jneurosci.1838-22.2023","title":"Rhythmic Information Sampling in the Brain during Visual Recognition","year":2023,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Fonds de recherche du Québec; Université de Montréal; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Rhythm; Sampling (signal processing); Computer science; Pattern recognition (psychology); Artificial intelligence; Communication; Speech recognition; Neuroscience; Psychology; Computer vision; Art","score_opus":0.067958833695409,"score_gpt":0.31092537610600535,"score_spread":0.24296654241059634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4375947830","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956163,0.0000012616722,0.00036114352,0.0028640693,0.0009231333,0.00010504652,0.000002946237,0.000021668184,0.00010438933],"genre_scores_gemma":[0.99677336,0.00005161088,0.000017436088,0.0030307686,0.00009177389,0.0000026543942,5.370364e-7,0.0000042040997,0.000027634342],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986166,0.00014622009,0.0003811266,0.00011954353,0.0005202874,0.00021623733],"domain_scores_gemma":[0.99915814,0.0003887288,0.000289281,0.00008287708,0.000042278694,0.00003867715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086730206,0.00007422994,0.0000871679,0.00041453622,0.00020171222,0.00018502946,0.0002830167,0.00002443294,0.0000028127083],"category_scores_gemma":[0.0026320138,0.000051017356,0.00005481413,0.0015537819,0.0000634165,0.0015350373,0.000044514243,0.00029108074,0.00003490126],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003275503,0.000018885983,0.0001527392,0.000009327792,1.1606617e-7,0.00006782374,0.00028162455,0.0012792109,0.99141794,0.00006167427,0.0000946874,0.006583194],"study_design_scores_gemma":[0.0018747264,0.0011948466,0.80162984,0.00021376912,0.000010127696,0.005678555,0.00088087167,0.08739537,0.08758648,0.005545303,0.0075198915,0.00047019342],"about_ca_topic_score_codex":0.0000018193056,"about_ca_topic_score_gemma":0.0000013230638,"teacher_disagreement_score":0.9038315,"about_ca_system_score_codex":0.000030734373,"about_ca_system_score_gemma":0.00003453123,"threshold_uncertainty_score":0.31509563},"labels":[],"label_agreement":null},{"id":"W4375948164","doi":"10.1523/jneurosci.2181-22.2023","title":"Neural α Oscillations and Pupil Size Differentially Index Cognitive Demand under Competing Audiovisual Task Conditions","year":2023,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"Deutsche Forschungsgemeinschaft; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Government of Canada","keywords":"Pupil size; Index (typography); Task (project management); Pupil; Cognition; Psychology; Cognitive psychology; Computer science; Audiology; Neuroscience; Medicine; Economics","score_opus":0.04051388147419961,"score_gpt":0.30457993237080316,"score_spread":0.26406605089660357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4375948164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949889,0.000007827839,0.0017338697,0.0015735796,0.0013069584,0.00013736612,0.000038423812,0.000053854063,0.0001591808],"genre_scores_gemma":[0.9977639,0.00008322093,0.000011406184,0.0017309873,0.00012567948,0.000002513719,0.0000010714228,0.0000151949625,0.00026604545],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99806684,0.00020955811,0.00042331067,0.00035616994,0.00060430466,0.00033982834],"domain_scores_gemma":[0.997672,0.0015018828,0.00039638754,0.00009916823,0.00013395889,0.00019659963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031716874,0.00016090427,0.00021887805,0.00027430803,0.00066209264,0.00026495804,0.00024047802,0.000044601227,0.000014995025],"category_scores_gemma":[0.0025456648,0.00013416806,0.00009509298,0.0010095902,0.00045736224,0.00062268536,0.00015227956,0.0003547632,0.000008498655],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033762786,0.00005372715,0.0042792126,0.000007972967,0.000002123971,0.00010493444,0.000094108065,0.0019526628,0.9924173,0.0006014808,0.00010074804,0.0003520008],"study_design_scores_gemma":[0.0009943345,0.0005323541,0.88763833,0.00006589049,0.000036514866,0.0010448411,0.0002263865,0.10163209,0.0052123824,0.002226063,0.00014622655,0.00024458926],"about_ca_topic_score_codex":0.0000023797102,"about_ca_topic_score_gemma":0.000004470805,"teacher_disagreement_score":0.9872049,"about_ca_system_score_codex":0.000023359189,"about_ca_system_score_gemma":0.000075908225,"threshold_uncertainty_score":0.54712147},"labels":[],"label_agreement":null},{"id":"W4376114573","doi":"10.1038/s42003-023-04879-y","title":"Scale-free dynamics in the core-periphery topography and task alignment decline from conscious to unconscious states","year":2023,"lang":"en","type":"article","venue":"Communications Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Ottawa","funders":"","keywords":"Neuroscience; Dynamics (music); Consciousness; Noise (video); Brain activity and meditation; Task (project management); Scale (ratio); Electroencephalography; Psychology; Unconscious mind; White noise; Cognitive psychology; Communication; Computer science; Artificial intelligence; Cartography; Geography; Telecommunications","score_opus":0.043232844235021016,"score_gpt":0.3071350376634429,"score_spread":0.2639021934284219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376114573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9600291,0.00013366212,0.00018047045,0.037934203,0.00021576244,0.0003842481,0.00047681917,0.000090054935,0.0005556365],"genre_scores_gemma":[0.9911116,0.0016175237,0.00052932074,0.006248618,0.000016093485,0.00011179886,0.00029724537,0.000009840275,0.000057969657],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988014,0.00035066012,0.0002453216,0.0002998289,0.0000790629,0.00022371995],"domain_scores_gemma":[0.9967343,0.00163203,0.00006251034,0.0014943606,0.000025455416,0.00005133964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031955875,0.000115018745,0.00014731538,0.00016364602,0.00028653748,0.00004782155,0.0012937108,0.00006748904,0.0000056512677],"category_scores_gemma":[0.0003444144,0.000077916884,0.000035726513,0.00079744717,0.0005219361,0.00003804971,0.0009928216,0.00018492503,0.00003635638],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002109504,0.00081450486,0.4536613,0.000022487082,0.00005397725,0.000035881578,0.0055162436,0.0003733031,0.28689498,0.09826807,0.01841959,0.13572872],"study_design_scores_gemma":[0.0023118714,0.0008847387,0.11957512,0.00006345484,0.000056911547,0.00006844452,0.0049617714,0.19558965,0.0015505222,0.5293453,0.14466289,0.00092933944],"about_ca_topic_score_codex":0.00045697167,"about_ca_topic_score_gemma":0.0096635595,"teacher_disagreement_score":0.4310772,"about_ca_system_score_codex":0.000047377744,"about_ca_system_score_gemma":0.000017674245,"threshold_uncertainty_score":0.5392493},"labels":[],"label_agreement":null},{"id":"W4376122947","doi":"10.48550/arxiv.2305.05328","title":"Dynamical properties and mechanisms of metastability: a perspective in neuroscience","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Fundação de Amparo à Pesquisa do Estado de São Paulo; Deutsche Forschungsgemeinschaft; Canada First Research Excellence Fund; Deutscher Akademischer Austauschdienst; National Science Foundation","keywords":"Metastability; Context (archaeology); Computer science; Perspective (graphical); Dynamical systems theory; Space (punctuation); Statistical physics; Physics; Artificial intelligence; Quantum mechanics","score_opus":0.1825317033441873,"score_gpt":0.21137727847161839,"score_spread":0.028845575127431078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376122947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9854993,0.000007306067,0.012997927,0.0002645503,0.00042279143,0.0004285575,0.000047490277,0.000091755006,0.00024028037],"genre_scores_gemma":[0.99919796,0.00008873617,0.00002587123,0.00008138684,0.000007688566,0.0000018096055,0.0000011762203,0.000018614204,0.00057673606],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997977,0.00022561503,0.00019002293,0.0012328594,0.0001180783,0.0002564225],"domain_scores_gemma":[0.99916244,0.00013643412,0.00015332105,0.00039782704,0.00007090057,0.000079054225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025249817,0.00021458826,0.00031755414,0.00032916057,0.00007927225,0.000039953582,0.00041709098,0.00013052516,0.0000049940318],"category_scores_gemma":[0.0005972486,0.00021042294,0.00009942538,0.00071303075,0.00044239254,0.00017819996,0.001090952,0.00046918172,0.0000049514806],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001861936,0.00018355717,0.0012384043,0.00016732186,0.000006935595,0.00025960218,0.00029050672,0.044411223,0.26279852,0.69039166,0.000003229277,0.00006283567],"study_design_scores_gemma":[0.000299147,0.00014134821,0.0044941246,0.0000789677,0.000032541095,0.0000069457724,0.00052048976,0.63705724,0.00778116,0.3493099,0.0000040559207,0.00027405284],"about_ca_topic_score_codex":0.0004608665,"about_ca_topic_score_gemma":0.00022898476,"teacher_disagreement_score":0.59264606,"about_ca_system_score_codex":0.00016705458,"about_ca_system_score_gemma":0.00009338996,"threshold_uncertainty_score":0.8580798},"labels":[],"label_agreement":null},{"id":"W4376150308","doi":"10.1101/2023.05.10.540244","title":"Behavioral Classification of Sequential Neural Activity Using Time Varying Recurrent Neural Networks","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institutes of Health; National Science Foundation","keywords":"Recurrent neural network; Computer science; Artificial intelligence; Artificial neural network; Neural decoding; Sequence (biology); Machine learning; Decoding methods; Pattern recognition (psychology); Algorithm","score_opus":0.08681488909900198,"score_gpt":0.29004491231779267,"score_spread":0.2032300232187907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376150308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9900243,0.000036359575,0.0028913363,0.00012669439,0.005282066,0.00082711584,0.00027021786,0.0005398419,0.000002028088],"genre_scores_gemma":[0.99881154,0.00004172308,0.00026894239,0.000058062233,0.00057222316,0.00006811315,0.000001359008,0.00017127425,0.000006749598],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99600637,0.0004651624,0.00070991577,0.0014751306,0.00064345764,0.0006999815],"domain_scores_gemma":[0.9972442,0.0001571122,0.0010174887,0.0010978263,0.0002593428,0.00022406646],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00047657007,0.0006146842,0.0006465316,0.0003806989,0.0003065695,0.00027041844,0.00065737916,0.00052935665,0.000026261347],"category_scores_gemma":[0.00023343535,0.00068049505,0.00031191332,0.0008829084,0.0002186437,0.00039044293,0.0007806401,0.0012794655,0.000023134775],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082838524,0.00018662578,0.0011219503,0.0001233355,0.000016689128,0.000041499403,0.0000037669943,0.014498111,0.9837985,0.00006334317,0.000029799356,0.000033523345],"study_design_scores_gemma":[0.00026405728,0.00008725629,0.022851491,0.00014205731,0.000118974625,8.29736e-8,4.1509722e-7,0.7917052,0.18425946,0.000001683044,0.000019675554,0.00054967654],"about_ca_topic_score_codex":0.00010158876,"about_ca_topic_score_gemma":0.0000018827548,"teacher_disagreement_score":0.7995391,"about_ca_system_score_codex":0.0003679848,"about_ca_system_score_gemma":0.00020938789,"threshold_uncertainty_score":0.99956465},"labels":[],"label_agreement":null},{"id":"W4376650668","doi":"10.1016/j.clinph.2023.03.030","title":"N°15 – Posterior to anterior gradient of NREM to REM sleep transitions in the human brain: A stereo-electro-encephalography study","year":2023,"lang":"es","type":"article","venue":"Clinical Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Non-rapid eye movement sleep; Sleep (system call); Psychology; Neuroscience; Sleep spindle; Eye movement; K-complex; Anatomy; Audiology; Medicine; Computer science","score_opus":0.060992889172217214,"score_gpt":0.3689107220874699,"score_spread":0.30791783291525265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376650668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98057246,0.0000072946755,0.000013811552,0.015249616,0.0016754866,0.0022257508,0.000112872745,0.000085323176,0.000057359335],"genre_scores_gemma":[0.9809894,0.000057105473,0.000010589791,0.018422991,0.00025807085,0.00013018312,0.000011614325,0.000049465634,0.00007061151],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9924726,0.0031654935,0.001616503,0.0015102023,0.00039699435,0.0008382015],"domain_scores_gemma":[0.9964293,0.0018584352,0.00027955003,0.0010757475,0.00010093502,0.0002559883],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008926909,0.00041577427,0.00096014014,0.00069272524,0.00032103813,0.00009552612,0.0011975926,0.00016495908,0.000024057763],"category_scores_gemma":[0.00089389744,0.00032068227,0.00050174183,0.0035127932,0.00046713755,0.00010194881,0.0003854755,0.0008121475,0.00020461813],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006513737,0.0019575837,0.0048994883,0.000048429003,0.000024404018,0.00042579634,0.0015169798,0.00015386751,0.9820462,0.00030039292,0.0005450179,0.0074304794],"study_design_scores_gemma":[0.0010067747,0.026437668,0.96859646,0.00008702495,0.00005270301,0.00002867087,0.00049002917,0.0004926481,0.00037503964,0.00032306355,0.0017743161,0.00033559208],"about_ca_topic_score_codex":0.000028046798,"about_ca_topic_score_gemma":0.00006403552,"teacher_disagreement_score":0.98167115,"about_ca_system_score_codex":0.00001915607,"about_ca_system_score_gemma":0.000035721234,"threshold_uncertainty_score":0.99992454},"labels":[],"label_agreement":null},{"id":"W4376867494","doi":"10.1093/cercor/bhad168","title":"Dual-stream cortical pathways mediate sensory prediction","year":2023,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Project 211; National Natural Science Foundation of China; Natural Science Foundation of Shanghai","keywords":"Sensory system; Neuroscience; Dual (grammatical number); Psychology","score_opus":0.04258331939559919,"score_gpt":0.25083182438299706,"score_spread":0.2082485049873979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376867494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99198806,0.000004084377,0.000052595657,0.0004431735,0.002030659,0.00020697479,0.00015900253,0.0008119475,0.0043035294],"genre_scores_gemma":[0.9955679,0.000051297815,0.000011204292,0.0006776829,0.00034977717,0.000019177958,0.00006756387,0.000030044872,0.0032253284],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983123,0.000111847454,0.00026282197,0.00051450153,0.00038098564,0.00041756593],"domain_scores_gemma":[0.9992281,0.00023394046,0.000071403214,0.00026796322,0.00003131583,0.00016726709],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014727589,0.00016457746,0.00015454525,0.00012446729,0.00025312087,0.00006318235,0.00011653932,0.00010112472,0.00019012035],"category_scores_gemma":[0.0004505365,0.00014507955,0.000091904156,0.0005381385,0.00011346295,0.00019949111,0.00009904793,0.00028519105,0.001477801],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004363879,0.000053031978,0.0028422899,0.000017412485,0.0000047923245,0.00018528226,0.000092526745,0.00006237145,0.97969854,0.0059218435,0.005390629,0.00568762],"study_design_scores_gemma":[0.0017607256,0.000909291,0.5933174,0.000049228107,0.0000645933,0.00030804586,0.00023350975,0.24361087,0.13885413,0.0108366795,0.0092245275,0.0008310034],"about_ca_topic_score_codex":0.0000066690172,"about_ca_topic_score_gemma":0.000006607176,"teacher_disagreement_score":0.84084445,"about_ca_system_score_codex":0.000041069325,"about_ca_system_score_gemma":0.00003412435,"threshold_uncertainty_score":0.99929965},"labels":[],"label_agreement":null},{"id":"W4376876719","doi":"10.7554/elife.85786","title":"Pynapple, a toolbox for data analysis in neuroscience","year":2023,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Azrieli Foundation; Israel Science Foundation; Natural Sciences and Engineering Research Council of Canada; Institut de science ouverte Tanenbaum; International Development Research Centre","keywords":"Python (programming language); Computer science; Toolbox; Neuroinformatics; Data type; Data mining; Artificial intelligence; Data science; Programming language","score_opus":0.15282174095203266,"score_gpt":0.3524358714671734,"score_spread":0.19961413051514076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376876719","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879468,0.000005825669,0.0072762007,0.0024316832,0.0008024786,0.0004020278,0.0002756018,0.00022234602,0.0006370302],"genre_scores_gemma":[0.9959875,0.000032829153,0.00012294506,0.0024516783,0.00004983004,0.000029056439,0.000066671346,0.000009382909,0.001250127],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998701,0.000037384965,0.00016019281,0.0005961088,0.00024233467,0.00026300986],"domain_scores_gemma":[0.9991022,0.00025472895,0.000044160817,0.0005383232,0.000013053616,0.000047535872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039092402,0.000073807285,0.00012167187,0.00030852962,0.000099874655,0.00006493259,0.000448929,0.000025533778,0.000010150047],"category_scores_gemma":[0.0014949772,0.00006612541,0.00004801712,0.0032596744,0.00004430486,0.0002316945,0.0001867022,0.00007070268,0.00004939987],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000915208,0.00015408598,0.021495866,0.00003224027,0.000011736702,0.0001232193,0.00013913478,0.009577187,0.9193122,0.010741774,0.026537614,0.011783415],"study_design_scores_gemma":[0.00019926827,0.000043020038,0.04193079,0.0000021416245,0.000019950017,0.0000022618026,0.00001071675,0.9226154,0.0040334435,0.00025900293,0.030770762,0.00011325488],"about_ca_topic_score_codex":0.00002970717,"about_ca_topic_score_gemma":0.0001206812,"teacher_disagreement_score":0.91527873,"about_ca_system_score_codex":0.0000117868985,"about_ca_system_score_gemma":0.000022845798,"threshold_uncertainty_score":0.2696516},"labels":[],"label_agreement":null},{"id":"W4376959108","doi":"10.1038/s41597-023-02214-y","title":"Responses of pyramidal cell somata and apical dendrites in mouse visual cortex over multiple days","year":2023,"lang":"en","type":"article","venue":"Scientific Data","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université de Montréal; Vector Institute; Canadian Institute for Advanced Research; Montreal Neurological Institute and Hospital; University of Toronto; Mila - Quebec Artificial Intelligence Institute; The Scarborough Hospital; York University","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Government of Canada; Canadian Institute for Advanced Research; Alfred P. Sloan Foundation","keywords":"Visual cortex; Pyramidal cell; Neuroscience; Biology; Cortex (anatomy); Cerebral cortex; Anatomy; Hippocampus","score_opus":0.06469699247135695,"score_gpt":0.31159061401491306,"score_spread":0.2468936215435561,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376959108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99566174,0.000013731303,0.00002160719,0.000094729316,0.0007385406,0.00015169533,0.003197782,0.000060920895,0.000059231243],"genre_scores_gemma":[0.9941172,0.000014141233,0.000052361906,0.000060627353,0.000018079836,0.000002829657,0.0004906967,0.000011210088,0.005232869],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982533,0.0001030051,0.00023125777,0.0007919506,0.00035865925,0.0002618293],"domain_scores_gemma":[0.9985092,0.0005518276,0.000069010384,0.0007841095,0.000017336755,0.000068477515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006558832,0.000095653035,0.00012545999,0.00027704856,0.00014966344,0.00019952137,0.0005944467,0.00004253133,0.00003456837],"category_scores_gemma":[0.0014005075,0.000085814834,0.000018321538,0.00082329486,0.00046737806,0.00043674512,0.0010837789,0.00010903087,0.000068733876],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058578775,0.00009130067,0.0069953697,0.000021964019,6.161053e-7,0.000023045577,0.000056535944,0.000010238494,0.9848113,0.00013658867,0.0072496813,0.00054478284],"study_design_scores_gemma":[0.0010140304,0.000086615546,0.111962475,0.00002985328,0.000007568772,0.000011490103,0.00016110885,0.42416233,0.4536597,0.00040341957,0.008237706,0.00026369674],"about_ca_topic_score_codex":0.000040882598,"about_ca_topic_score_gemma":0.00014923011,"teacher_disagreement_score":0.5311516,"about_ca_system_score_codex":0.000010334843,"about_ca_system_score_gemma":0.000043772412,"threshold_uncertainty_score":0.34994274},"labels":[],"label_agreement":null},{"id":"W4377011305","doi":"10.1016/j.celrep.2023.112526","title":"A vocalization-processing network in marmosets","year":2023,"lang":"en","type":"article","venue":"Cell Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada First Research Excellence Fund","keywords":"Callithrix; Marmoset; Perception; Active listening; Non-human; Neuroscience; Primate; Psychology; Functional magnetic resonance imaging; Communication; Biology; Cognitive psychology","score_opus":0.024860950263432803,"score_gpt":0.254669590063878,"score_spread":0.22980863980044522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377011305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97530764,0.000032614153,0.0005383695,0.00018433863,0.0015741489,0.00016298617,5.6067e-7,0.00023128338,0.021968039],"genre_scores_gemma":[0.995475,0.000028049028,0.000027051787,0.00047126703,0.0001039529,0.000009863619,0.000008751192,0.000014339366,0.003861706],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906754,0.000029602845,0.00021794745,0.00030389806,0.00015826237,0.00022275993],"domain_scores_gemma":[0.99964756,0.000052625404,0.00010227364,0.00014680937,0.000012314219,0.000038446215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019875221,0.000068147194,0.0000763448,0.00006634894,0.000090730486,0.00004665425,0.000045233322,0.000036620128,0.000038314894],"category_scores_gemma":[0.00016607447,0.00006446959,0.000023966926,0.00083847286,0.000019532461,0.00009108309,0.000044783963,0.000075016236,0.000053246753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046870362,0.00021419414,0.10302805,0.0002711677,0.0000020533491,0.020522056,0.00049794145,0.13362552,0.60786366,0.0010883429,0.07417098,0.058669154],"study_design_scores_gemma":[0.00062502566,0.00012008527,0.086335845,0.00022295564,0.000015437801,0.000781721,0.00007627078,0.6449679,0.084287636,0.04792623,0.13366243,0.0009784692],"about_ca_topic_score_codex":0.000007215726,"about_ca_topic_score_gemma":0.000005584897,"teacher_disagreement_score":0.523576,"about_ca_system_score_codex":0.000019598892,"about_ca_system_score_gemma":0.000028991306,"threshold_uncertainty_score":0.26289937},"labels":[],"label_agreement":null},{"id":"W4377024346","doi":"10.1101/2023.05.17.541168","title":"Modeling and Simulation of Neocortical Micro- and Mesocircuitry. Part II: Physiology and Experimentation","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Neuroscience; Optogenetics; Stimulus (psychology); Computer science; Somatosensory system; Connectome; Inhibitory postsynaptic potential; Biology; Functional connectivity; Psychology; Cognitive psychology","score_opus":0.04270910787195815,"score_gpt":0.2672879610353834,"score_spread":0.22457885316342524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377024346","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977527,0.00017130953,0.0010736968,0.000101267025,0.00037653645,0.00036917385,0.000048978985,0.000105353734,9.579608e-7],"genre_scores_gemma":[0.9989604,0.0003703324,0.0003341489,0.000120923774,0.00012791439,0.000040900246,2.9522914e-7,0.000042408526,0.0000027242952],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984443,0.00010376437,0.0003312503,0.00074118533,0.00014990108,0.0002296081],"domain_scores_gemma":[0.9992511,0.0001428724,0.00017370051,0.00025470718,0.00008403005,0.000093559465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019172185,0.00022845596,0.0003052139,0.000100983154,0.00018451063,0.000068327616,0.00007999115,0.00022541446,0.0000040497607],"category_scores_gemma":[0.00023302148,0.00024086912,0.00003419977,0.00014653403,0.0001518389,0.00012282157,0.00037891016,0.0002440642,0.0000013377427],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002202756,0.000024145384,0.00051979726,0.0001609025,0.000011108162,0.000003242675,0.000020275142,0.012529555,0.9859624,0.0007391323,0.0000037814766,0.0000036534702],"study_design_scores_gemma":[0.0003628268,0.00008417966,0.015470236,0.0001170395,0.000047923742,3.3972455e-8,0.000006598472,0.6281922,0.3552705,0.000098227894,0.000031090978,0.00031917245],"about_ca_topic_score_codex":0.000018348203,"about_ca_topic_score_gemma":5.8920443e-7,"teacher_disagreement_score":0.6306919,"about_ca_system_score_codex":0.00003143671,"about_ca_system_score_gemma":0.000050649403,"threshold_uncertainty_score":0.9822358},"labels":[],"label_agreement":null},{"id":"W4377043397","doi":"10.7554/elife.85786.1.sa2","title":"Reviewer #1 (Public Review): Pynapple: a toolbox for data analysis in neuroscience","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Azrieli Foundation; Israel Science Foundation; Natural Sciences and Engineering Research Council of Canada; International Development Research Centre","keywords":"Computer science; Toolbox; Python (programming language); Data stream mining; Flexibility (engineering); Data sharing; R package; Data type; Data mining; Data science; Programming language","score_opus":0.22653517031975498,"score_gpt":0.39137912074873216,"score_spread":0.16484395042897718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377043397","genre_codex":"commentary","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000010340957,0.25325507,0.01393652,0.65554845,0.03544237,0.01856227,0.014288796,0.0010688633,0.007887313],"genre_scores_gemma":[0.000012944227,0.57394856,0.00013584817,0.12082969,0.00029358856,0.00066374434,0.0047832113,0.00007991356,0.2992525],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99292207,0.0004510041,0.0014907806,0.0031087394,0.0011643968,0.0008630368],"domain_scores_gemma":[0.9937009,0.0010336865,0.0007395753,0.0037878358,0.00053353625,0.00020446163],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003773706,0.00061793014,0.0019704213,0.000790984,0.00018275566,0.00019626056,0.0037377898,0.00019699874,0.00054451404],"category_scores_gemma":[0.056598824,0.0004798381,0.0006505879,0.009828225,0.0001513633,0.00055047584,0.0011314921,0.0007002529,0.00016518704],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023803343,0.00005300209,0.0000079702395,0.010846526,0.000013765323,0.000015139858,7.7241816e-7,0.0000028713903,0.000114111914,0.00030939648,0.9696344,0.018999625],"study_design_scores_gemma":[0.000117181764,0.000061463856,0.000051711984,0.0047746105,0.000792823,0.0000074203313,4.5189583e-7,0.016596766,0.000004635455,0.00007905115,0.97700655,0.0005073313],"about_ca_topic_score_codex":0.00014804742,"about_ca_topic_score_gemma":0.001343,"teacher_disagreement_score":0.53471875,"about_ca_system_score_codex":0.000100100755,"about_ca_system_score_gemma":0.00029879992,"threshold_uncertainty_score":0.99976534},"labels":[],"label_agreement":null},{"id":"W4377089038","doi":"10.1016/j.pneurobio.2023.102466","title":"Causal manipulation of gaze-following in the macaque temporal cortex","year":2023,"lang":"en","type":"article","venue":"Progress in Neurobiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Werner Reichardt Centre for Neuroscience; Deutsche Forschungsgemeinschaft","keywords":"Gaze; Neuroscience; Macaque; Psychology; Cognition; Neuroimaging; Context (archaeology); Biology","score_opus":0.04866641727139328,"score_gpt":0.3123788955886181,"score_spread":0.26371247831722483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377089038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99810034,0.00001513282,0.000005668639,0.0007064009,0.0006554354,0.0002990099,0.0000047378517,0.000045757435,0.000167536],"genre_scores_gemma":[0.99951565,0.00001930309,0.000010480861,0.0003218379,0.000026625707,0.000044825196,0.000017598695,0.000010371809,0.000033316435],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987391,0.00034421196,0.00026950543,0.00029972545,0.00009980106,0.00024762872],"domain_scores_gemma":[0.99940705,0.00031609135,0.00009243126,0.00016423539,0.0000072501334,0.000012966952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002582249,0.000093958886,0.00014578164,0.00019714079,0.000039704933,0.000013366216,0.00023043032,0.000068264366,0.0000057383804],"category_scores_gemma":[0.00015035977,0.00006883474,0.000045541772,0.00075774384,0.0001044651,0.000069935304,0.000071733055,0.00020424007,0.000014069253],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080932004,0.00011808709,0.81975687,0.000034780194,0.0000021513295,0.00037957754,0.00029011798,0.00035756404,0.16678904,0.0062381043,0.000084896994,0.005867868],"study_design_scores_gemma":[0.00065450877,0.00032200184,0.96741277,0.000037629496,0.0000048469633,0.000053294298,0.00005656673,0.02074207,0.007427561,0.0027145927,0.00041020327,0.00016395756],"about_ca_topic_score_codex":0.000020340738,"about_ca_topic_score_gemma":0.000067839435,"teacher_disagreement_score":0.15936148,"about_ca_system_score_codex":0.00001238875,"about_ca_system_score_gemma":0.00001243,"threshold_uncertainty_score":0.28069994},"labels":[],"label_agreement":null},{"id":"W4377091138","doi":"10.1038/s41467-023-38574-7","title":"A rapid theta network mechanism for flexible information encoding","year":2023,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Office of Naval Research; National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; Multidisciplinary University Research Initiative; National Institutes of Health; U.S. Department of Health and Human Services; U.S. Department of Defense","keywords":"Neuroscience; Mechanism (biology); Computer science; ENCODE; Gating; Encoding (memory); Electroencephalography; Task-positive network; Task (project management); Striatum; Default mode network; Psychology; Biology; Functional magnetic resonance imaging; Physics","score_opus":0.06144541771420232,"score_gpt":0.3119770984130814,"score_spread":0.2505316806988791,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377091138","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09735004,0.0026364175,0.076779865,0.32220507,0.024835138,0.015642006,0.0016544748,0.016311323,0.44258568],"genre_scores_gemma":[0.9923842,0.0009143342,0.0017818874,0.0037284777,0.000086413886,0.00017988912,0.00018783791,0.000012502382,0.0007244509],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99929833,0.00007055093,0.0001746583,0.00011979243,0.00013288297,0.00020381068],"domain_scores_gemma":[0.9982538,0.00071102276,0.0000974376,0.0008132244,0.000089422996,0.000035043206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002858608,0.00008154345,0.00007984861,0.00011358793,0.0007108394,0.00009252024,0.00068117754,0.00013435753,0.000008671918],"category_scores_gemma":[0.00075645535,0.0000743923,0.000068710826,0.0008050224,0.000037218124,0.00040588362,0.00024073571,0.00038684817,0.00010388793],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009472703,0.000012527802,0.000010863205,0.00000753435,0.0000031750822,1.00528986e-7,0.00010311872,0.00018338577,0.01909966,0.95843965,0.016524486,0.005606015],"study_design_scores_gemma":[0.00042913153,0.00008194198,0.00036877615,0.000030126252,0.000019997397,0.000008530024,0.00010504229,0.25063774,0.013673183,0.15017012,0.58422905,0.0002463218],"about_ca_topic_score_codex":0.0000022698748,"about_ca_topic_score_gemma":0.000015537165,"teacher_disagreement_score":0.8950342,"about_ca_system_score_codex":0.000027023276,"about_ca_system_score_gemma":0.00002429848,"threshold_uncertainty_score":0.54672736},"labels":[],"label_agreement":null},{"id":"W4377139087","doi":"10.1016/j.neuroimage.2023.120154","title":"Aperiodic brain activity and response to anesthesia vary in disorders of consciousness","year":2023,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; McGill University; International Laboratory for Brain, Music and Sound Research; Western University; Hôpital du Sacré-Cœur de Montréal; McGill University Health Centre; Montreal General Hospital","funders":"Fonds de recherche du Québec – Nature et technologies; Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec; Canada Research Chairs; Canada First Research Excellence Fund; McGill University; Canada Excellence Research Chairs, Government of Canada; International Anesthesia Research Society","keywords":"Aperiodic graph; Electroencephalography; Unconsciousness; Wakefulness; Consciousness; Anesthetic; Psychology; Anesthesia; Propofol; Neuroscience; Medicine; Mathematics","score_opus":0.019316248662183073,"score_gpt":0.26656914293057254,"score_spread":0.24725289426838948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377139087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9880192,0.0000016858131,0.00001929364,0.011381907,0.00008466262,0.00024386856,0.000007993211,0.00007785121,0.00016350776],"genre_scores_gemma":[0.99799305,0.000016534765,0.000008266728,0.0016047811,0.000006701886,0.000013012938,5.923398e-7,0.000016789052,0.0003402932],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99879175,0.00033732192,0.00012495271,0.0003772808,0.00016153109,0.00020713206],"domain_scores_gemma":[0.9987109,0.00097367517,0.00004099485,0.00020359833,0.000007888046,0.000062988474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031052585,0.00010275629,0.00014279547,0.000255419,0.00006601835,0.000030742318,0.00011885012,0.000033157092,0.0000075767207],"category_scores_gemma":[0.0010522952,0.000101200996,0.000027901473,0.00084439444,0.00012139537,0.00013210363,0.00007845049,0.0001202433,0.0000265897],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049750536,0.000037928414,0.0027611696,0.00001610938,2.9856474e-7,0.0001531838,0.00020306607,0.00005669898,0.99018085,0.00007137699,0.00020739791,0.0058143903],"study_design_scores_gemma":[0.0007001624,0.0004462804,0.94167703,0.000020532594,0.0000028046272,0.00006764152,0.00005003565,0.006175405,0.04725512,0.00051560916,0.0028675427,0.00022185616],"about_ca_topic_score_codex":0.00004091769,"about_ca_topic_score_gemma":0.000051175208,"teacher_disagreement_score":0.94292575,"about_ca_system_score_codex":0.000011576976,"about_ca_system_score_gemma":0.000026455586,"threshold_uncertainty_score":0.4126857},"labels":[],"label_agreement":null},{"id":"W4377219918","doi":"10.7554/elife.84566","title":"Multi-centre analysis of networks and genes modulated by hypothalamic stimulation in patients with aggressive behaviours","year":2023,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre; SickKids Foundation; University Health Network; University of Toronto; Health Sciences Centre; Sunnybrook Hospital; Hospital for Sick Children","funders":"Canadian Institutes of Health Research; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Gene; Stimulation; Biology; Neuroscience; Computational biology; Genetics; Psychology","score_opus":0.013776864135018621,"score_gpt":0.23213817638812154,"score_spread":0.2183613122531029,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377219918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995187,0.000018117678,0.00014958154,0.00002324496,0.000058668407,0.00015005661,0.000050805596,0.000029286746,0.0000015504459],"genre_scores_gemma":[0.99966717,0.000036357244,0.0000193104,0.0000445732,0.000004051664,0.0000022583301,0.00015310923,0.000009164432,0.00006399116],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99926364,0.00004763959,0.00014170604,0.00023359813,0.0001818822,0.00013151094],"domain_scores_gemma":[0.9996221,0.00006691607,0.00014428268,0.0000964433,0.000038755825,0.00003148089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000045741428,0.0000790399,0.0001366544,0.00021190707,0.00003895932,0.000013748797,0.000039322986,0.000040027517,0.0000047068916],"category_scores_gemma":[0.000058343147,0.00006524555,0.000023950357,0.0011451088,0.000034062607,0.0000758778,0.000027225471,0.000053735424,0.0000010320944],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031461546,0.000072661125,0.7954992,0.000001663372,0.000013693721,0.000004596204,0.00003697824,0.19227324,0.010615292,0.0000017462858,0.000023562048,0.0014259135],"study_design_scores_gemma":[0.00038725173,0.000022472794,0.53385335,0.0000065923873,0.000035200686,6.47381e-8,0.0000037503214,0.46473032,0.0009192132,6.7462537e-7,7.8381436e-7,0.000040344938],"about_ca_topic_score_codex":0.00005332351,"about_ca_topic_score_gemma":0.00006675141,"teacher_disagreement_score":0.27245706,"about_ca_system_score_codex":0.000014448865,"about_ca_system_score_gemma":0.000004082579,"threshold_uncertainty_score":0.26606363},"labels":[],"label_agreement":null},{"id":"W4377565454","doi":"10.1111/desc.13413","title":"Network connectivity underlying episodic memory in children: Application of a pediatric brain tumor survivor injury model","year":2023,"lang":"en","type":"article","venue":"Developmental Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Holland Bloorview Kids Rehabilitation Hospital; Hospital for Sick Children; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Episodic memory; Psychology; White matter; Neuroscience; Fractional anisotropy; Diffusion MRI; Recall; Cognitive psychology; Cognition; Magnetic resonance imaging; Medicine","score_opus":0.03503659316328781,"score_gpt":0.2757889986340716,"score_spread":0.24075240547078378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377565454","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99663013,0.0000030712924,0.0018889125,0.00012726652,0.00058047776,0.00038601004,0.0000108302465,0.00009340762,0.00027991494],"genre_scores_gemma":[0.99907625,0.0000061506316,0.0003901124,0.00033330187,0.00009215571,0.000044056633,0.0000044022954,0.000010381516,0.00004316535],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99807096,0.00006106036,0.00027995513,0.0006028199,0.00054227933,0.00044292046],"domain_scores_gemma":[0.9993247,0.00028017463,0.00013632674,0.00015132598,0.00002904293,0.00007846719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012565672,0.00012629034,0.00014352737,0.0003198925,0.00030759358,0.00004152517,0.00041562013,0.00003352104,0.0000035646606],"category_scores_gemma":[0.0005616318,0.000124411,0.00002588017,0.0046001,0.0002445848,0.00040559162,0.0002585728,0.0001412651,0.000039228347],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034267796,0.000096792064,0.17231943,0.000020762714,0.0000012103139,0.0000056245367,0.00026627225,0.020634633,0.79226637,0.0026422164,0.0005058903,0.01120656],"study_design_scores_gemma":[0.00031541975,0.000051585794,0.5366814,0.0000116188785,0.0000027850913,0.000016468524,0.00005500208,0.428672,0.028265182,0.0055913646,0.000009679671,0.0003274971],"about_ca_topic_score_codex":0.000097243086,"about_ca_topic_score_gemma":0.0000558226,"teacher_disagreement_score":0.7640012,"about_ca_system_score_codex":0.0001692024,"about_ca_system_score_gemma":0.00027847028,"threshold_uncertainty_score":0.50733334},"labels":[],"label_agreement":null},{"id":"W4377967869","doi":"10.1101/2023.05.22.541797","title":"Wired together, change together: Spike timing modifies transmission in converging assemblies","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Azrieli Foundation; Israel Science Foundation; United States-Israel Binational Science Foundation; Rosetrees Trust; International Development Research Centre","keywords":"Postsynaptic potential; Neuroscience; Optogenetics; Neurotransmission; Inhibitory postsynaptic potential; Spike-timing-dependent plasticity; Spike (software development); Biology; Stimulation; Excitatory postsynaptic potential; Computer science; Receptor","score_opus":0.07609311588670223,"score_gpt":0.264592661970269,"score_spread":0.18849954608356675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377967869","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919204,0.00037234326,0.0012781345,0.0012869318,0.002899658,0.0011530409,0.000117052805,0.00095349905,0.000018951265],"genre_scores_gemma":[0.99661314,0.001153976,0.000490096,0.0006666516,0.00041039393,0.00038343848,4.980959e-7,0.000227959,0.00005381791],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99593323,0.00032021845,0.00067303545,0.0016090899,0.00063192693,0.0008325015],"domain_scores_gemma":[0.9980055,0.00030081405,0.00038678412,0.00094993645,0.00012862694,0.00022833425],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007449757,0.0006901517,0.00068428164,0.0006976537,0.00026592542,0.00035536478,0.000733369,0.00059532234,0.000038938677],"category_scores_gemma":[0.0004054776,0.0007117199,0.00021640057,0.0009881943,0.00013869032,0.0004015177,0.00048784158,0.00096059183,0.00008984687],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004226798,0.000096423144,0.0019846049,0.00039072888,0.000016608568,0.00017787423,0.00008735834,0.00038932156,0.99625015,0.00041249336,0.000092005,0.00006016242],"study_design_scores_gemma":[0.001043699,0.000113802096,0.032612607,0.0018035754,0.00007439228,8.0962046e-8,0.00002280629,0.056303687,0.9011868,0.00005394974,0.0050596627,0.0017249135],"about_ca_topic_score_codex":0.0002411027,"about_ca_topic_score_gemma":0.000016783877,"teacher_disagreement_score":0.09506333,"about_ca_system_score_codex":0.0002832623,"about_ca_system_score_gemma":0.00019271913,"threshold_uncertainty_score":0.9995334},"labels":[],"label_agreement":null},{"id":"W4377984980","doi":"10.1101/2023.05.23.541971","title":"Functional Subtypes of Synaptic Dynamics in Mouse and Human","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Facilitation; Biology; Synaptic plasticity; Glutamatergic; Cluster analysis; Metaplasticity; Neuroplasticity; Neurotransmission; Evolutionary biology; Computer science; Artificial intelligence; Glutamate receptor; Genetics","score_opus":0.0291045201557352,"score_gpt":0.23036635139974998,"score_spread":0.20126183124401478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377984980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997976,0.000041693645,0.00018673939,0.00021778652,0.0007688226,0.00036908797,0.00021147056,0.00022163588,0.0000067287983],"genre_scores_gemma":[0.99939084,0.00011399775,0.000105461935,0.00010803154,0.00009228961,0.000058541835,5.783049e-7,0.00008586937,0.000044384797],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997866,0.00011826435,0.00046537482,0.00088940974,0.00032718535,0.00033376546],"domain_scores_gemma":[0.9987339,0.00016919604,0.000304363,0.000575734,0.000110286455,0.00010656988],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00035696843,0.00032305552,0.00039923575,0.00044108252,0.00011015945,0.00009221281,0.00027412258,0.00030955026,0.000014224625],"category_scores_gemma":[0.00036375228,0.00034969486,0.000080571626,0.0004751655,0.00018851862,0.000116340656,0.00042616765,0.00060239324,0.000022564089],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024124869,0.000086473316,0.017974371,0.00028506297,0.000017735809,0.000035950347,0.0000020851478,0.0002902389,0.965594,0.015646912,0.000042527183,5.469793e-7],"study_design_scores_gemma":[0.00087291026,0.0001765509,0.45481396,0.00043419687,0.00006632629,6.725306e-8,0.0000061202513,0.033348072,0.5089616,0.0001474955,0.000112210604,0.0010604884],"about_ca_topic_score_codex":0.00014009191,"about_ca_topic_score_gemma":0.000062104475,"teacher_disagreement_score":0.45663235,"about_ca_system_score_codex":0.00025289404,"about_ca_system_score_gemma":0.00012801801,"threshold_uncertainty_score":0.9998955},"labels":[],"label_agreement":null},{"id":"W4378070370","doi":"10.7554/elife.86548.sa2","title":"Author response: Theta- and gamma-band oscillatory uncoupling in the macaque hippocampus","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Macaque; Hippocampus; Neuroscience; Psychology; Physics","score_opus":0.08386493647785262,"score_gpt":0.33851205346849383,"score_spread":0.25464711699064124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378070370","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16377734,0.013509646,0.00006642104,0.77699655,0.019108424,0.0051664254,0.0006417502,0.0007753318,0.019958125],"genre_scores_gemma":[0.0404547,0.007680719,0.000017170976,0.02862238,0.00042965505,0.00019412527,0.00005589032,0.00012906476,0.92241627],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99680513,0.0006973775,0.0004854451,0.000897774,0.00068848074,0.00042577108],"domain_scores_gemma":[0.9963713,0.0026844265,0.00020413379,0.00061331975,0.000046415236,0.00008036951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024023266,0.00038521725,0.00049994333,0.00025108433,0.00022252697,0.0001698615,0.00052153907,0.0002650277,0.00012162013],"category_scores_gemma":[0.0025130364,0.00023439704,0.00014568851,0.00075664057,0.0001545121,0.00008834867,0.00014601638,0.0009329163,0.00012508505],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012667397,0.000029484976,0.000032754237,0.0009952032,0.0000075952457,0.0002191538,0.00010273374,0.00003236313,0.0063880533,0.00062886294,0.9838326,0.007604537],"study_design_scores_gemma":[0.00024569148,0.000121457015,0.00055367145,0.0011891928,0.000055180055,0.00013181094,0.000040900963,0.0014032393,0.00030144586,0.0038864014,0.99162525,0.00044578654],"about_ca_topic_score_codex":0.00009002276,"about_ca_topic_score_gemma":0.0003118445,"teacher_disagreement_score":0.9024582,"about_ca_system_score_codex":0.00007591286,"about_ca_system_score_gemma":0.00015406268,"threshold_uncertainty_score":0.9558434},"labels":[],"label_agreement":null},{"id":"W4378070737","doi":"10.1016/j.neuroimage.2023.120178","title":"Novel multivariate methods to track frequency shifts of neural oscillations in EEG/MEG recordings","year":2023,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Horizon 2020 Framework Programme; Diputación Foral de Gipuzkoa; Ministry of Science and ICT, South Korea; Bundesministerium für Bildung und Forschung; Ministerio de Ciencia e Innovación; Ontario Ministry of Research and Innovation; Ikerbasque, Basque Foundation for Science; Ministry of Science, ICT and Future Planning; Institute for Information and Communications Technology Promotion; Deutsche Forschungsgemeinschaft; H2020 Future and Emerging Technologies; Eusko Jaurlaritza; Ministerio de Economía y Competitividad; Korea University; Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España","keywords":"Instantaneous phase; Electroencephalography; Time–frequency analysis; SIGNAL (programming language); Pattern recognition (psychology); Noise (video); Computer science; Frequency analysis; Mathematics; Speech recognition; Artificial intelligence; Algorithm; Computer vision","score_opus":0.08435134108802368,"score_gpt":0.3597212427203787,"score_spread":0.27536990163235503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378070737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902243,0.0000020790885,0.0038554936,0.0021059918,0.0011192249,0.0004175074,0.00007217526,0.00020402858,0.0019992127],"genre_scores_gemma":[0.9909716,0.000007611845,0.00721586,0.0012076255,0.000045159384,0.000024435607,0.000005169519,0.000039965853,0.00048254326],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99807876,0.00023410445,0.00042670354,0.00062571553,0.0002497787,0.00038493992],"domain_scores_gemma":[0.99859977,0.0007791644,0.0001248004,0.00034942737,0.00003880737,0.00010801054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042438702,0.00017913926,0.0002418533,0.00044815624,0.000103032646,0.000051467243,0.0002924366,0.000060502898,0.000035679295],"category_scores_gemma":[0.0024561589,0.00017551295,0.00009635328,0.0020182417,0.000059524118,0.00030650012,0.00013998729,0.00027003157,0.00008004922],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021621552,0.00005382194,0.00078424194,0.000013566752,8.523623e-7,0.000026515583,0.00018217966,0.0009918154,0.98725086,0.0009060123,0.00015133413,0.009617149],"study_design_scores_gemma":[0.0010051063,0.0003556451,0.6858615,0.00004085087,0.000012890366,0.000027535281,0.000043068867,0.156108,0.15213299,0.002621956,0.0013333649,0.00045704414],"about_ca_topic_score_codex":0.00021512482,"about_ca_topic_score_gemma":0.00004684133,"teacher_disagreement_score":0.8351179,"about_ca_system_score_codex":0.000031363317,"about_ca_system_score_gemma":0.00002407756,"threshold_uncertainty_score":0.715721},"labels":[],"label_agreement":null},{"id":"W4378228627","doi":"10.1101/2023.05.23.541792","title":"Endogenous pathology in tauopathy mice progresses via brain networks","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institutes of Health","keywords":"Tauopathy; Tau pathology; Neuroscience; Human brain; Tau protein; Biology; Psychology; Pathology; Disease; Alzheimer's disease; Medicine; Neurodegeneration","score_opus":0.033265819487216915,"score_gpt":0.23283919492326333,"score_spread":0.19957337543604642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378228627","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98783773,0.00044469387,0.0028032963,0.0010136466,0.005186315,0.0014753222,0.00017485698,0.0010511978,0.00001295554],"genre_scores_gemma":[0.9967549,0.00035630923,0.00038150954,0.0012230346,0.0005715739,0.00047379558,6.986623e-7,0.00022123632,0.000016937207],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9953636,0.00053930556,0.0007209835,0.0019170429,0.00041919015,0.0010398566],"domain_scores_gemma":[0.99744594,0.0005028243,0.00050361024,0.0011681052,0.000154641,0.0002249024],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008393784,0.0006698725,0.00067966245,0.0005174947,0.00020989889,0.00025789827,0.0008961271,0.00073114183,0.000018359784],"category_scores_gemma":[0.0011671452,0.0007187864,0.0001775094,0.0012376874,0.00022177298,0.00016953424,0.000937289,0.0014784589,0.00015228236],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004643526,0.00018146235,0.0030183801,0.00018061616,0.000012396092,0.0020781774,0.000009631739,0.0019508617,0.99189293,0.0004218747,0.00019479291,0.000012422165],"study_design_scores_gemma":[0.0018400756,0.00050598744,0.08691617,0.0009020819,0.00011690445,0.0000021463402,0.000005273109,0.06966114,0.8326596,0.00009421797,0.0039506075,0.0033457673],"about_ca_topic_score_codex":0.00006162182,"about_ca_topic_score_gemma":0.00002289926,"teacher_disagreement_score":0.15923333,"about_ca_system_score_codex":0.00025488413,"about_ca_system_score_gemma":0.00026316682,"threshold_uncertainty_score":0.9995263},"labels":[],"label_agreement":null},{"id":"W4378230964","doi":"10.1101/2023.05.24.541981","title":"Pupil size predicts the onset of exploration and changes in prefrontal dynamics","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université de Montréal","funders":"National Eye Institute; Institut de Valorisation des Données; Natural Sciences and Engineering Research Council of Canada; Jacobs Foundation; Canadian Institute for Advanced Research","keywords":"Pupil size; Pupil; Psychology; Neuroscience","score_opus":0.03301360522578215,"score_gpt":0.22812286787813565,"score_spread":0.1951092626523535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378230964","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994769,0.00006571413,0.0002569248,0.0019706697,0.0013412453,0.0008464904,0.00055798877,0.00018724258,0.0000047521517],"genre_scores_gemma":[0.99848056,0.00077916647,0.00012630605,0.00019387928,0.00012391464,0.00020518573,5.6506883e-7,0.00007079193,0.000019629717],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99794346,0.00021534074,0.00037365645,0.00077417534,0.00036880522,0.0003245501],"domain_scores_gemma":[0.9984018,0.0004020119,0.0003551086,0.0006628776,0.00009425066,0.00008392279],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005204159,0.00031484218,0.0003349616,0.00019009277,0.000118091695,0.00012896233,0.00038745816,0.00026829029,0.0000055193873],"category_scores_gemma":[0.0010745424,0.00026819462,0.00005453384,0.0005078807,0.00019602118,0.00018556988,0.0005433431,0.0005550242,0.000008162991],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000083921506,0.00012139389,0.006886225,0.0004136426,0.000020507532,0.000055158667,0.000055820637,0.0004529151,0.9901888,0.0015855043,0.00012235093,0.0000137581665],"study_design_scores_gemma":[0.00096309296,0.0002999751,0.49410868,0.0007996679,0.00008869478,1.1764924e-7,0.00003586936,0.10467,0.39755672,0.00020042928,0.00033277582,0.0009439574],"about_ca_topic_score_codex":0.00010403857,"about_ca_topic_score_gemma":0.00031146646,"teacher_disagreement_score":0.59263206,"about_ca_system_score_codex":0.00016152274,"about_ca_system_score_gemma":0.00014428276,"threshold_uncertainty_score":0.99997705},"labels":[],"label_agreement":null},{"id":"W4378471598","doi":"10.1038/s41598-023-35516-7","title":"Respiration organizes gamma synchrony in the prefronto-thalamic network","year":2023,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Institute of Neurological Disorders and Stroke; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Prefrontal cortex; Neuroscience; Thalamus; Hippocampus; Local field potential; Biology; Cognition","score_opus":0.03007755229241633,"score_gpt":0.2564480468077171,"score_spread":0.22637049451530078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378471598","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98809487,0.000026484468,0.00004420929,0.0008287469,0.008482918,0.0003964462,0.0000010125457,0.00014997528,0.0019753112],"genre_scores_gemma":[0.99383557,0.000012306466,0.000012188227,0.00024014995,0.00017575135,0.00003032152,0.00002077628,0.000013206338,0.005659747],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.997778,0.00018856072,0.0003629047,0.0007235615,0.0005755354,0.00037146904],"domain_scores_gemma":[0.9989056,0.0001592351,0.00017165368,0.0006921653,0.000036490415,0.00003487779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022494865,0.000107074324,0.00010479916,0.0001409487,0.00047626763,0.0004306835,0.00022024542,0.000047523517,0.000061374936],"category_scores_gemma":[0.0007834739,0.000073983916,0.00004702061,0.0022242067,0.00014732759,0.0002565645,0.00007936612,0.00013906074,0.0001688552],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001658945,0.00007751122,0.015933644,0.000026350854,0.0000025340755,0.0013648949,0.0009414147,0.0052491575,0.79096776,0.0022345358,0.17725943,0.005926169],"study_design_scores_gemma":[0.00068061316,0.00033405484,0.25774306,0.00019581511,0.000039335377,0.0018008392,0.0004251829,0.0576347,0.11702883,0.20909838,0.3538165,0.0012026696],"about_ca_topic_score_codex":0.000020107791,"about_ca_topic_score_gemma":0.000155766,"teacher_disagreement_score":0.67393893,"about_ca_system_score_codex":0.00004680414,"about_ca_system_score_gemma":0.000063161264,"threshold_uncertainty_score":0.4153091},"labels":[],"label_agreement":null},{"id":"W4378533148","doi":"10.1101/2023.05.26.542452","title":"Motor cortex latent dynamics encode spatial and temporal arm movement parameters independently","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"Medical Research Council; National Institutes of Health","keywords":"Movement (music); Trajectory; Motor cortex; Dynamics (music); Population; Neuroscience; Computer science; Cortex (anatomy); Primary motor cortex; ENCODE; Physical medicine and rehabilitation; Psychology; Physics; Biology; Medicine","score_opus":0.02614414169320014,"score_gpt":0.2260505825273312,"score_spread":0.19990644083413106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378533148","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98984694,0.00004082307,0.0022976038,0.00050243945,0.00424282,0.0012828037,0.0011378452,0.00064216764,0.000006531041],"genre_scores_gemma":[0.9974679,0.00031082696,0.0007042442,0.00082754873,0.0002190861,0.0002197397,0.0000022105896,0.00018251802,0.00006596731],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99577075,0.00018788563,0.0007001899,0.0018048963,0.00080327154,0.00073298084],"domain_scores_gemma":[0.99769866,0.00016330235,0.0005755977,0.0010295453,0.00015324682,0.00037962466],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00047987164,0.0007052599,0.00059892953,0.00037523493,0.00026796144,0.0004915666,0.0006039556,0.00051320525,0.000028605758],"category_scores_gemma":[0.00036461075,0.0007342916,0.00019170379,0.0004038647,0.00020432827,0.00018578127,0.0010767154,0.0010608687,0.000099695775],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010251445,0.00025340568,0.02567037,0.00028661103,0.00007157423,0.0003060383,0.000008046541,0.00019037255,0.9718437,0.0011326103,0.00012161656,0.000013139336],"study_design_scores_gemma":[0.0017507117,0.0006973926,0.56647575,0.0005535525,0.00023760674,1.6954536e-7,0.000008115271,0.23195863,0.19484358,0.0002223979,0.00054113194,0.0027110006],"about_ca_topic_score_codex":0.00064689247,"about_ca_topic_score_gemma":0.000092251525,"teacher_disagreement_score":0.7770001,"about_ca_system_score_codex":0.000507509,"about_ca_system_score_gemma":0.00025956178,"threshold_uncertainty_score":0.9995108},"labels":[],"label_agreement":null},{"id":"W4378782804","doi":"10.1038/s41583-023-00705-w","title":"The neuroconnectionist research programme","year":2023,"lang":"en","type":"review","venue":"Nature reviews. Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":230,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute; Montreal Neurological Institute and Hospital; McGill University; Canadian Institute for Advanced Research","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Falsifiability; Cognitive science; Perspective (graphical); Set (abstract data type); Computer science; Neuroeconomics; Research program; Philosophy of science; Core (optical fiber); Models of neural computation; Artificial intelligence; Computational model; Artificial neural network; Data science; Psychology; Management science; Epistemology; Cognitive psychology","score_opus":0.4017446187101053,"score_gpt":0.49193311185285804,"score_spread":0.09018849314275273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378782804","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000010924173,0.9849698,0.000008398295,0.0007556147,0.007654927,0.0048247296,0.000032564665,0.00039214065,0.0013607243],"genre_scores_gemma":[0.000006771733,0.98683685,0.000008538781,0.0009655821,0.00062769727,0.0012575773,0.000007805219,0.00014590306,0.010143281],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9887692,0.003732667,0.0013236813,0.0024776363,0.0018999263,0.0017969171],"domain_scores_gemma":[0.991774,0.0051021315,0.0007883944,0.0018264793,0.00016740146,0.00034156727],"candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0057877447,0.00075980864,0.001549417,0.00050141104,0.0041289143,0.0017731613,0.003572954,0.0006652634,0.000006210366],"category_scores_gemma":[0.031694293,0.00041928297,0.00095916586,0.009749912,0.0013466493,0.0003057872,0.00094296975,0.0068481243,0.001452937],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023265936,0.000034946264,1.3969455e-7,0.003445699,0.0000012596662,0.000067550995,0.000003258678,2.558749e-7,0.00013411719,0.009268926,0.007849499,0.979192],"study_design_scores_gemma":[0.000043745516,0.0001409422,0.0000018292777,0.0032866509,0.000054812706,0.00033574607,0.0000018781618,0.00007607891,0.000012631046,0.0006550907,0.99500114,0.0003894735],"about_ca_topic_score_codex":0.0000068524837,"about_ca_topic_score_gemma":0.000024418703,"teacher_disagreement_score":0.9871516,"about_ca_system_score_codex":0.00021385842,"about_ca_system_score_gemma":0.0005371881,"threshold_uncertainty_score":0.9998259},"labels":[],"label_agreement":null},{"id":"W4378806741","doi":"10.1103/physreve.107.054308","title":"Global excitability and network structure in the human brain","year":2023,"lang":"en","type":"article","venue":"Physical review. E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Connectome; Computer science; Pairwise comparison; Shuffling; Network topology; Human brain; Brain function; Human Connectome Project; Topology (electrical circuits); Global network; Neuroscience; Artificial intelligence; Mathematics; Functional connectivity; Biology; Computer network","score_opus":0.03106480378443187,"score_gpt":0.35100805622663667,"score_spread":0.3199432524422048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378806741","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931498,0.00022062448,0.000003959404,0.0055924756,0.000083891675,0.00028120007,0.000013697342,0.000034398538,0.0006199436],"genre_scores_gemma":[0.99359834,0.00037173054,0.000001884205,0.0058194534,0.00016960817,0.000012087965,0.000004815916,0.000003842819,0.000018213737],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99903274,0.00023577818,0.000116227915,0.0002608243,0.0001693772,0.00018505302],"domain_scores_gemma":[0.99939466,0.00033492534,0.00003459998,0.00019975072,0.0000062042245,0.000029847406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002467697,0.00008412733,0.00015811935,0.0000067840338,0.00010116475,0.000029079818,0.00014378752,0.000013691749,0.000008111352],"category_scores_gemma":[0.0004677829,0.000050463623,0.000050183102,0.0007524291,0.0000687432,0.000060325827,0.00006986957,0.00012179436,0.00001605768],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022858096,0.00024312735,0.028142905,0.0014487216,0.000006629339,0.000067872985,0.00029984748,0.00040926263,0.1642047,0.6642461,0.05309952,0.08780849],"study_design_scores_gemma":[0.00013786917,0.00006971637,0.5007563,0.00015610806,0.000009813536,0.000008310072,0.0000058953474,0.00390983,0.000058769052,0.4817332,0.013007735,0.00014638614],"about_ca_topic_score_codex":0.000009233498,"about_ca_topic_score_gemma":0.00003261851,"teacher_disagreement_score":0.47261345,"about_ca_system_score_codex":0.000014088738,"about_ca_system_score_gemma":0.0000049463742,"threshold_uncertainty_score":0.20578468},"labels":[],"label_agreement":null},{"id":"W4378837742","doi":"10.7554/elife.87691","title":"Mesotrode allows chronic simultaneous mesoscale cortical imaging and subcortical or peripheral nerve spiking activity recording in mice","year":2023,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada; Fondation Leducq; Michael Smith Health Research BC; Heart and Stroke Foundation of Canada","keywords":"Neuroscience; Local field potential; Optogenetics; Electrophysiology; Neuron; Connectome; Premovement neuronal activity; Nerve net; Cortex (anatomy); Mesoscale meteorology; Biology; Functional connectivity; Physics","score_opus":0.025687130594348555,"score_gpt":0.2845292290368226,"score_spread":0.258842098442474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378837742","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973593,0.00002665478,0.0003210658,0.0011929609,0.0005231569,0.000200178,0.0000060432867,0.00019467039,0.00017599222],"genre_scores_gemma":[0.99867284,0.00010635916,0.0000727931,0.0004424364,0.00019186601,0.00001482614,0.0000023709945,0.000030646053,0.00046588114],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981573,0.0001616071,0.00024649958,0.00058545655,0.000307226,0.00054187386],"domain_scores_gemma":[0.9986606,0.0009714432,0.000056377183,0.00015625791,0.00001721724,0.00013809654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023003471,0.00017820756,0.00022587735,0.00010849207,0.00020863078,0.000111433954,0.00011353805,0.000060654063,0.00006599645],"category_scores_gemma":[0.0012457935,0.00015424998,0.000055485034,0.0003949259,0.00011471109,0.0002490795,0.00017058178,0.0003952867,0.000047975635],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020687663,0.000047954258,0.0056492863,0.000027780909,0.0000026929138,0.0011716513,0.00009513894,0.0013644845,0.9753805,0.00021413728,0.00014063773,0.01569887],"study_design_scores_gemma":[0.00061572914,0.0001444364,0.01528768,0.000036428508,0.00001084815,0.00015604074,0.000049736056,0.9535682,0.028952576,0.00006506659,0.00085291656,0.00026034645],"about_ca_topic_score_codex":0.000102160775,"about_ca_topic_score_gemma":0.00028457696,"teacher_disagreement_score":0.9522037,"about_ca_system_score_codex":0.00017242506,"about_ca_system_score_gemma":0.000060234324,"threshold_uncertainty_score":0.6290131},"labels":[],"label_agreement":null},{"id":"W4378837764","doi":"10.7554/elife.87691.1","title":"Mesotrode: chronic simultaneous mesoscale cortical imaging and subcortical or peripheral nerve spiking activity recording in mice","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada; Fondation Leducq; Michael Smith Health Research BC; Heart and Stroke Foundation of Canada","keywords":"Neuroscience; Local field potential; Optogenetics; Electrophysiology; Neuron; Mesoscale meteorology; Connectome; Cortex (anatomy); Premovement neuronal activity; Nerve net; Biology; Functional connectivity; Physics","score_opus":0.041019643307223894,"score_gpt":0.2997069905765861,"score_spread":0.2586873472693622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378837764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917794,0.000037856375,0.0033165433,0.0018528167,0.0017191232,0.00055988913,0.000021380534,0.00035849647,0.00035452787],"genre_scores_gemma":[0.9971951,0.0001983332,0.00028293187,0.0002610785,0.00028330923,0.0000438058,0.000007122394,0.000078793135,0.0016494994],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965578,0.00030506623,0.00049276464,0.0015028084,0.0003975472,0.0007440599],"domain_scores_gemma":[0.997421,0.0018382275,0.00015388594,0.00036644327,0.000031496376,0.00018894677],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000302521,0.00043796195,0.00054778095,0.00019577004,0.00021870795,0.00034074485,0.00030945582,0.00024119898,0.00015350748],"category_scores_gemma":[0.0016021293,0.00037127658,0.00013641675,0.00026720477,0.00020951281,0.00021445069,0.0012231714,0.0016252525,0.000027327958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006928772,0.00019783733,0.005947919,0.0004334277,0.000016827476,0.0032569382,0.00014327174,0.011154763,0.93332183,0.0010034716,0.00016688863,0.04366392],"study_design_scores_gemma":[0.00048858864,0.00012541562,0.0045324727,0.00014910821,0.000032164775,0.00016734979,0.000039450275,0.98286355,0.010162986,0.00080571184,0.00010523047,0.00052795815],"about_ca_topic_score_codex":0.0007121662,"about_ca_topic_score_gemma":0.00129577,"teacher_disagreement_score":0.9717088,"about_ca_system_score_codex":0.000531434,"about_ca_system_score_gemma":0.00018365191,"threshold_uncertainty_score":0.99987394},"labels":[],"label_agreement":null},{"id":"W4378904697","doi":"10.7554/elife.87691.1.sa0","title":"Reviewer #2 (Public Review): Mesotrode: chronic simultaneous mesoscale cortical imaging and subcortical or peripheral nerve spiking activity recording in mice","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada; Fondation Leducq; Michael Smith Health Research BC; Heart and Stroke Foundation of Canada","keywords":"Neuroscience; Local field potential; Optogenetics; Neuron; Electrophysiology; Mesoscale meteorology; Cortex (anatomy); Nerve net; Premovement neuronal activity; Connectome; Biology; Functional connectivity; Physics","score_opus":0.05185675756077161,"score_gpt":0.3267078101911565,"score_spread":0.2748510526303849,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378904697","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022098593,0.5197521,0.0018876164,0.3982602,0.035857555,0.014442127,0.0005699817,0.0021580874,0.00497377],"genre_scores_gemma":[0.029352434,0.8344872,0.00017207647,0.023620129,0.0015573378,0.00037085518,0.00017160323,0.00031311976,0.10995524],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9933541,0.0010254754,0.0013457697,0.0020638264,0.0009816835,0.0012291707],"domain_scores_gemma":[0.9953807,0.0026821697,0.00049712876,0.0007452274,0.0003237278,0.00037101924],"candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014194722,0.0008513706,0.0019525384,0.0002425326,0.0003036797,0.00024627105,0.00059666677,0.00027225883,0.0013705835],"category_scores_gemma":[0.024391524,0.00064993533,0.00040505495,0.0011749625,0.0002692508,0.00046312858,0.00066595274,0.002093686,0.000121295256],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009769125,0.00021752394,0.00011392428,0.04267478,0.000030109606,0.0018898891,0.0000124185035,0.000017909664,0.01240232,0.00019907315,0.59791636,0.344428],"study_design_scores_gemma":[0.00065128354,0.00031570083,0.0001654339,0.035597216,0.00039806022,0.0006194427,0.0000051038405,0.087600105,0.0001886099,0.00005368653,0.8728734,0.0015319097],"about_ca_topic_score_codex":0.0002626874,"about_ca_topic_score_gemma":0.0011381265,"teacher_disagreement_score":0.37464008,"about_ca_system_score_codex":0.0007446008,"about_ca_system_score_gemma":0.0004084868,"threshold_uncertainty_score":0.99959517},"labels":[],"label_agreement":null},{"id":"W4378906462","doi":"10.7554/elife.87691.1.sa1","title":"Reviewer #1 (Public Review): Mesotrode: chronic simultaneous mesoscale cortical imaging and subcortical or peripheral nerve spiking activity recording in mice","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada; Fondation Leducq; Michael Smith Health Research BC; Heart and Stroke Foundation of Canada","keywords":"Neuroscience; Local field potential; Optogenetics; Electrophysiology; Neuron; Cortex (anatomy); Premovement neuronal activity; Nerve net; Mesoscale meteorology; Psychology; Biology; Physics","score_opus":0.05185675756077161,"score_gpt":0.3267078101911565,"score_spread":0.2748510526303849,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378906462","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021185547,0.52369773,0.0020377317,0.39514032,0.035951357,0.0142765995,0.00057347404,0.002141544,0.004995676],"genre_scores_gemma":[0.030523207,0.82997566,0.00016368271,0.02376902,0.0015122795,0.00036438563,0.00016751346,0.00031120155,0.11321305],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9934087,0.001015946,0.001343889,0.002048703,0.00096596335,0.0012168178],"domain_scores_gemma":[0.99540484,0.002670163,0.0004939423,0.0007375033,0.00032828763,0.00036525],"candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014019355,0.0008476214,0.001945695,0.00024213472,0.000297258,0.00024289692,0.00059760036,0.00026594216,0.0013385445],"category_scores_gemma":[0.025050035,0.000645518,0.0004094947,0.0011551061,0.00027033873,0.0004593612,0.00066626986,0.0021037294,0.00011948026],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010231799,0.00022000584,0.00011421949,0.042843454,0.00003056578,0.0019158134,0.000012597835,0.000016437665,0.012635435,0.00019524213,0.60964906,0.33226487],"study_design_scores_gemma":[0.0006493165,0.00032172792,0.00015350347,0.037925955,0.0003907002,0.0006452449,0.0000055210207,0.090839356,0.00018892899,0.00005039816,0.86731654,0.0015127939],"about_ca_topic_score_codex":0.00026773024,"about_ca_topic_score_gemma":0.0011926066,"teacher_disagreement_score":0.3713713,"about_ca_system_score_codex":0.0007411279,"about_ca_system_score_gemma":0.00039890833,"threshold_uncertainty_score":0.99959964},"labels":[],"label_agreement":null},{"id":"W4378953749","doi":"10.1152/jn.00443.2022","title":"Use-dependent facilitation of electrical transmission involves changes to postsynaptic K<sup>+</sup> current","year":2023,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Facilitation; Neuroscience; Postsynaptic potential; Postsynaptic Current; Excitatory postsynaptic potential; Neurotransmission; Inhibitory postsynaptic potential; Neural facilitation; Physics; Biophysics; Biology; Chemistry; Receptor","score_opus":0.06042546617481927,"score_gpt":0.2933618723673152,"score_spread":0.23293640619249595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378953749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99698263,0.000016851869,0.0003362828,0.001955014,0.0005159537,0.00014784146,0.000011457279,0.00002982343,0.0000041504745],"genre_scores_gemma":[0.9985439,0.0005766731,0.000053473195,0.0005947623,0.00012065174,0.0000031590632,0.0000021564792,0.000017322387,0.00008787507],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983947,0.00032324882,0.00042282455,0.00025717987,0.00034380448,0.00025821754],"domain_scores_gemma":[0.9987594,0.00061004335,0.00023418428,0.00013445801,0.00013211455,0.0001298078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008761838,0.00013722033,0.00029905332,0.00046669194,0.00006961655,0.000018314442,0.00023164743,0.00005539137,0.00001360372],"category_scores_gemma":[0.0007863857,0.00010485238,0.00012428743,0.00065053423,0.00005750764,0.00015572281,0.0000526768,0.0003074134,0.000038527414],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031730437,0.00008663076,0.000014607861,0.000026752065,0.0000045876013,0.000045403092,0.00018863495,0.013343106,0.9598683,0.00015038069,0.00018811051,0.02576619],"study_design_scores_gemma":[0.0028002523,0.03137603,0.0817609,0.00034204763,0.00016028032,0.0006754169,0.00021146293,0.40812683,0.43946245,0.0073434683,0.026715713,0.0010251225],"about_ca_topic_score_codex":0.0000034592547,"about_ca_topic_score_gemma":4.1588606e-7,"teacher_disagreement_score":0.5204058,"about_ca_system_score_codex":0.000030129286,"about_ca_system_score_gemma":0.00004060648,"threshold_uncertainty_score":0.4275756},"labels":[],"label_agreement":null},{"id":"W4378975508","doi":"10.1162/jocn_a_02012","title":"Intracranial Entrainment Reveals Statistical Learning across Levels of Abstraction","year":2023,"lang":"en","type":"article","venue":"Journal of Cognitive Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Advanced Research; University of Pennsylvania; Yale University; National Science Foundation","keywords":"Entrainment (biomusicology); Psychology; Statistical learning; Abstraction; Cognitive psychology; Concept learning; Perception; Variation (astronomy); Communication; Artificial intelligence; Neuroscience; Computer science; Rhythm","score_opus":0.062064353222165705,"score_gpt":0.349805580535475,"score_spread":0.2877412273133093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378975508","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9884659,0.0000031108978,0.00940127,0.00023651904,0.0013787342,0.00012277861,0.00010711616,0.000025851332,0.00025870148],"genre_scores_gemma":[0.99921,0.000077500095,0.00005001958,0.00039124125,0.00012487295,0.0000017508154,7.6141197e-7,0.0000123034215,0.00013152866],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9976501,0.00024590487,0.0005829871,0.0002847808,0.00087285286,0.0003633917],"domain_scores_gemma":[0.9973118,0.0015970088,0.00066990056,0.000065893015,0.00021924362,0.00013617743],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00096934196,0.000128049,0.00023752132,0.0001609537,0.0002356354,0.000082030754,0.00022435386,0.000044293887,0.00004435891],"category_scores_gemma":[0.008985962,0.00010870299,0.00009273882,0.0007359736,0.00036065458,0.00048458957,0.00007379346,0.0004748209,0.000022211101],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012444264,0.00008206635,0.0010413467,0.000013694797,0.000001506341,0.00021686144,0.0002267379,0.0004364665,0.9772221,0.00031882204,0.000034228353,0.020281754],"study_design_scores_gemma":[0.0013789099,0.0023789012,0.65377223,0.00022539948,0.00003419845,0.0010623455,0.00066528685,0.011632369,0.32512096,0.0030016112,0.00043609497,0.00029171084],"about_ca_topic_score_codex":0.0000014041347,"about_ca_topic_score_gemma":6.256532e-7,"teacher_disagreement_score":0.6527309,"about_ca_system_score_codex":0.00003373604,"about_ca_system_score_gemma":0.00006883127,"threshold_uncertainty_score":0.99936175},"labels":[],"label_agreement":null},{"id":"W4379106456","doi":"10.1101/2023.05.27.542584","title":"ElecFeX: A user-friendly toolkit for efficient feature extraction from single-cell electrophysiological recordings","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; McGill University","keywords":"Computer science; Graphical user interface; Software; Profiling (computer programming); Interface (matter); MATLAB; Electrophysiology; User Friendly; Human–computer interaction; Data mining; Neuroscience","score_opus":0.02637257078740158,"score_gpt":0.232810396916394,"score_spread":0.20643782612899242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379106456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97568345,0.000028821958,0.01879494,0.00047663267,0.0024642872,0.0012428032,0.0002920238,0.0010107512,0.00000628416],"genre_scores_gemma":[0.99284995,0.00004743504,0.005386797,0.00042186718,0.00061516045,0.00047107047,0.0000021097035,0.00014897213,0.000056661454],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9961005,0.00017160251,0.0004814939,0.001973684,0.0004461367,0.00082658784],"domain_scores_gemma":[0.99749076,0.0006187896,0.0005068872,0.000888623,0.00026463403,0.00023028528],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032466528,0.00059487973,0.0005303548,0.00023372499,0.0004156051,0.0003905075,0.00062815717,0.000571397,0.000022633034],"category_scores_gemma":[0.0010954405,0.000566151,0.00031637828,0.00070677744,0.00009660546,0.00017493268,0.0003503448,0.000996689,0.0001166757],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031999685,0.00027976508,0.00016191964,0.000066111155,0.000014455036,0.000029766688,0.0000020699456,0.00074368116,0.99736315,0.00042286518,0.00059046375,0.0000057313914],"study_design_scores_gemma":[0.0006060253,0.00050188514,0.009363918,0.00007983977,0.000055454257,3.6544446e-8,0.0000016132324,0.014480975,0.9699011,0.00003112144,0.0042767623,0.0007013094],"about_ca_topic_score_codex":0.000034108114,"about_ca_topic_score_gemma":0.0000019403715,"teacher_disagreement_score":0.027462116,"about_ca_system_score_codex":0.0003723508,"about_ca_system_score_gemma":0.00014433514,"threshold_uncertainty_score":0.99967897},"labels":[],"label_agreement":null},{"id":"W4379203068","doi":"10.1016/j.tics.2023.05.005","title":"Social and nonlinear dynamics unite: musical group synchrony","year":2023,"lang":"en","type":"review","venue":"Trends in Cognitive Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Pairwise comparison; Psychology; Dynamics (music); Rhythm; Musical; Synchronization (alternating current); Cognitive psychology; Transformational leadership; Communication; Cognitive science; Social psychology; Developmental psychology; Computer science","score_opus":0.3450766608505046,"score_gpt":0.4648587280348452,"score_spread":0.11978206718434059,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379203068","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012226883,0.92885095,0.0001817949,0.0014187352,0.005236691,0.002385959,0.0028695196,0.0010064051,0.045823075],"genre_scores_gemma":[0.0024963515,0.99533695,0.00004222617,0.00018886122,0.00033834757,0.00006764522,0.00014620862,0.00004585259,0.001337533],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99697375,0.00037045105,0.00045932404,0.0011726763,0.0005124433,0.0005113662],"domain_scores_gemma":[0.99794215,0.0015973913,0.00024835602,0.00009855631,0.00002854992,0.00008497639],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006235802,0.0003915991,0.0008370289,0.0010576985,0.0005116051,0.00022417174,0.00041526018,0.00022885544,0.000052192485],"category_scores_gemma":[0.0006196069,0.0003043249,0.00019616187,0.0041629486,0.0016844901,0.00022963187,0.00032023745,0.00059598824,0.000052771375],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000038099329,0.000048068134,0.000007367153,0.00043448753,0.0000049689606,0.00006347592,0.000042733223,2.2589208e-7,0.0000023019643,0.0035152424,0.000047279565,0.99583006],"study_design_scores_gemma":[0.0035610986,0.003665166,0.001717742,0.036517594,0.0019077472,0.0008910999,0.0016891571,0.12555122,0.000019782225,0.01407999,0.80252105,0.0078783445],"about_ca_topic_score_codex":0.00003270895,"about_ca_topic_score_gemma":0.00041449853,"teacher_disagreement_score":0.9879517,"about_ca_system_score_codex":0.00010731172,"about_ca_system_score_gemma":0.000101791484,"threshold_uncertainty_score":0.9999409},"labels":[],"label_agreement":null},{"id":"W4379387303","doi":"10.1101/2023.05.31.543092","title":"<tt>conn2res</tt> : A toolbox for connectome-based reservoir computing","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; McGill University; Mila - Quebec Artificial Intelligence Institute; Montreal Neurological Institute and Hospital","funders":"","keywords":"Computer science; Connectomics; Connectome; Toolbox; Reservoir computing; Computational neuroscience; Artificial intelligence; Python (programming language); Network dynamics; Spiking neural network; Artificial neural network; Biological neural network; Neuromorphic engineering; Theoretical computer science; Neuroscience; Machine learning; Recurrent neural network; Functional connectivity","score_opus":0.052517881167173174,"score_gpt":0.26327913240799017,"score_spread":0.210761251240817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379387303","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97163355,0.00007756041,0.014980087,0.002006155,0.005932386,0.0023620191,0.0010661157,0.0019261232,0.000016018786],"genre_scores_gemma":[0.99439806,0.000027231192,0.0023142935,0.0015846041,0.00095989223,0.000366323,0.0000016493592,0.00030448416,0.000043445685],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9949507,0.00032153787,0.0008260306,0.0021713353,0.00064650876,0.0010838874],"domain_scores_gemma":[0.9954222,0.0014882856,0.00067415007,0.0016190647,0.00046543646,0.00033088028],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001223591,0.00076834887,0.00078831805,0.00053860695,0.00058021874,0.00061549974,0.0011335253,0.0005945196,0.00002696026],"category_scores_gemma":[0.0035099578,0.0008198188,0.00039848822,0.0010102583,0.00020026077,0.00018419899,0.0006519058,0.0010056284,0.00014734345],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014459049,0.00013619299,0.0008489,0.00078582385,0.000039621507,0.00009669459,0.0000068549184,0.0037528302,0.989089,0.0033498514,0.0017458159,0.000003824922],"study_design_scores_gemma":[0.002052297,0.00029665677,0.0151444,0.00093724974,0.00013020639,4.2310123e-8,0.000004331382,0.19822857,0.7688001,0.00007461713,0.01241199,0.0019195715],"about_ca_topic_score_codex":0.000057771456,"about_ca_topic_score_gemma":0.000008457523,"teacher_disagreement_score":0.22028893,"about_ca_system_score_codex":0.0003359744,"about_ca_system_score_gemma":0.00063903385,"threshold_uncertainty_score":0.9994253},"labels":[],"label_agreement":null},{"id":"W4379616912","doi":"10.1101/2023.06.06.543581","title":"Evaluation of abstract rule-based associations in the human premotor cortex during passive observation","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Canada First Research Excellence Fund; Health Canada; National Institutes of Health; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada; McGill University","keywords":"Premotor cortex; Embodied cognition; Cognition; Stimulus (psychology); Psychology; Neuroscience; Cognitive psychology; Mirror neuron; Sensory system; Computer science; Artificial intelligence","score_opus":0.07951492862999313,"score_gpt":0.2857783858809665,"score_spread":0.20626345725097336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379616912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99662155,0.0000146711045,0.000050090723,0.00042748966,0.00086711295,0.0014924273,0.00034180845,0.0001746474,0.000010181758],"genre_scores_gemma":[0.9991632,0.00001414722,0.00008013228,0.00013788465,0.00017342782,0.00035790514,0.0000025475156,0.00006618094,0.000004555201],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9961347,0.00058563077,0.00069015654,0.00077996316,0.0014705572,0.0003389719],"domain_scores_gemma":[0.99705666,0.00038022434,0.000987095,0.00082386937,0.0006954396,0.00005673837],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002328256,0.0003155743,0.0003299298,0.000341465,0.0002736139,0.00017353246,0.0005492862,0.00031414293,0.00001997043],"category_scores_gemma":[0.0024987615,0.000295342,0.00014646117,0.00085004815,0.00007521636,0.00019336412,0.00013252947,0.00067513296,0.000020859736],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007981001,0.0001538965,0.0093735615,0.00012580268,0.000015903437,0.000009490319,0.000014932841,0.0030907544,0.98685,0.0003304806,0.000024466759,0.0000027098706],"study_design_scores_gemma":[0.0004779326,0.000020895814,0.7918898,0.00017259986,0.000090636175,3.0061906e-9,0.0000027782678,0.013127473,0.1939391,0.00004044672,0.000009600569,0.00022874954],"about_ca_topic_score_codex":0.00013328053,"about_ca_topic_score_gemma":0.00003241059,"teacher_disagreement_score":0.79291093,"about_ca_system_score_codex":0.0006187411,"about_ca_system_score_gemma":0.0005196108,"threshold_uncertainty_score":0.9999499},"labels":[],"label_agreement":null},{"id":"W4379617874","doi":"10.1101/2023.06.06.543824","title":"Age-dependent modulation of the excitability of layer V pyramidal neurons by dopamine D1 receptors in mice’s primary motor cortex","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Nautical Research Society","funders":"Université de Bordeaux; Centre National de la Recherche Scientifique; Agence Nationale de la Recherche","keywords":"Neuroscience; Dopaminergic; Dopamine; Dopamine receptor D1; Dopamine receptor; Primary motor cortex; Receptor; Pyramidal cell; Biology; Psychology; Motor cortex; Chemistry; Internal medicine; Stimulation; Medicine; Hippocampus","score_opus":0.02372136324170017,"score_gpt":0.22554093306197623,"score_spread":0.20181956982027605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379617874","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99454087,0.000039045135,0.00012064631,0.0002587858,0.0030205844,0.0012106923,0.00064799807,0.00015400007,0.0000073989304],"genre_scores_gemma":[0.99933857,0.00010241802,0.0000961225,0.00012271701,0.00008884638,0.000097730655,9.755355e-7,0.00010149508,0.000051124673],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9963505,0.00042280369,0.00094074133,0.0011477455,0.0007266498,0.00041150977],"domain_scores_gemma":[0.9973844,0.0002778158,0.00083653897,0.0012002696,0.00019392889,0.00010700706],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006721557,0.00042995007,0.0005965489,0.00025489373,0.000095008494,0.00006186523,0.00079843216,0.0003602459,0.000018129918],"category_scores_gemma":[0.0009183598,0.0003852573,0.00021780722,0.0008571111,0.0003120065,0.00015826347,0.00078947353,0.0008129429,0.000008921306],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062119834,0.00024550522,0.011870352,0.0003646852,0.000011702336,0.000009775924,0.0000072767275,0.0005497451,0.98670065,0.000110327055,0.00006401825,0.0000038272788],"study_design_scores_gemma":[0.0003204996,0.00005718605,0.63894415,0.00014128999,0.00002444558,1.31762645e-8,0.000001363209,0.003298565,0.35680723,0.000012449252,0.000107896725,0.00028491073],"about_ca_topic_score_codex":0.00025635544,"about_ca_topic_score_gemma":0.000025791913,"teacher_disagreement_score":0.6298934,"about_ca_system_score_codex":0.00032400416,"about_ca_system_score_gemma":0.00025527907,"threshold_uncertainty_score":0.9998599},"labels":[],"label_agreement":null},{"id":"W4379619364","doi":"10.1101/2023.06.06.543895","title":"When Neural Activity Fails to Reveal Causal Contributions","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"National Institutes of Health; Deutsche Forschungsgemeinschaft","keywords":"Neural activity; Artificial neural network; Computer science; Causal structure; Artificial intelligence; Causal model; Cognition; Causal inference; Cognitive science; Machine learning; Psychology; Neuroscience; Mathematics; Econometrics","score_opus":0.03439661296555049,"score_gpt":0.25997861698484337,"score_spread":0.22558200401929288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379619364","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9826203,0.000019341793,0.0027343808,0.005068162,0.005246115,0.0013366361,0.0017301599,0.0012363556,0.000008577314],"genre_scores_gemma":[0.9971243,0.000026160653,0.000325438,0.0012038557,0.0007481532,0.00033514708,5.317475e-7,0.0001552915,0.00008113229],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9958427,0.000354794,0.00048551348,0.0017487032,0.0006355693,0.0009327166],"domain_scores_gemma":[0.9970738,0.0003217267,0.00034651606,0.001387329,0.00033659866,0.00053399225],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00057181506,0.00062434044,0.00061785843,0.00038531303,0.00043354143,0.00062745716,0.00079360954,0.000490568,0.000036925456],"category_scores_gemma":[0.0022156166,0.000665535,0.0002338395,0.000814314,0.00013861424,0.00036153558,0.0011421021,0.0012747492,0.00053884834],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053330743,0.00008742856,0.00046909164,0.00008109687,0.000021466714,0.00012415345,0.000005318509,0.0003102249,0.9947516,0.0009984096,0.0030937768,0.0000041433077],"study_design_scores_gemma":[0.0005289526,0.00016719438,0.08350054,0.00020605985,0.00009129711,7.506588e-8,0.0000012664407,0.0061650104,0.9031128,0.000045095163,0.0049164924,0.0012651541],"about_ca_topic_score_codex":0.00016356674,"about_ca_topic_score_gemma":0.00001314152,"teacher_disagreement_score":0.0916387,"about_ca_system_score_codex":0.00047078004,"about_ca_system_score_gemma":0.0003609252,"threshold_uncertainty_score":0.9995796},"labels":[],"label_agreement":null},{"id":"W4380086665","doi":"10.1038/s41467-023-39076-2","title":"Waves traveling over a map of visual space can ignite short-term predictions of sensory input","year":2023,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Eye Institute; Alliance de recherche numérique du Canada; National Institutes of Health; Canada First Research Excellence Fund; National Science Foundation","keywords":"Traveling wave; Perception; Computer science; Embedding; Term (time); Visual space; Visual perception; Artificial intelligence; Sensory system; Artificial neural network; Physics; Neuroscience; Biology; Mathematics","score_opus":0.04201991184690626,"score_gpt":0.32673036777238146,"score_spread":0.28471045592547517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380086665","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940647,0.00017031748,0.00013039204,0.0032920693,0.00044381976,0.00030429702,0.00038874062,0.00015233926,0.0010533491],"genre_scores_gemma":[0.99836886,0.0003819561,0.00022532257,0.00015864517,0.00003447883,0.000016202643,0.00007871283,0.000018089146,0.00071775494],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99899375,0.00014981892,0.00027118763,0.00019426459,0.00023601303,0.00015497787],"domain_scores_gemma":[0.9982312,0.00062575354,0.000118936245,0.0008712234,0.00010374457,0.00004915273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015051231,0.00010411611,0.00015062942,0.00019903255,0.000229357,0.000016551729,0.00050087256,0.00015787572,0.000011783065],"category_scores_gemma":[0.0003045502,0.0001009136,0.000092462746,0.00069312827,0.00021727293,0.00009063039,0.00026076814,0.00060149346,0.0000067534925],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011392409,0.00017263973,0.0031003407,0.000037128026,0.000015278505,0.0000016555526,0.00044343562,0.00047113103,0.98462856,0.0098494915,0.00071924325,0.00054969924],"study_design_scores_gemma":[0.0009471736,0.00043225032,0.24179082,0.00032473155,0.00018658524,0.00004007976,0.0010110898,0.3893304,0.34555906,0.0020699936,0.017597148,0.000710698],"about_ca_topic_score_codex":0.000027390659,"about_ca_topic_score_gemma":0.00024258542,"teacher_disagreement_score":0.6390695,"about_ca_system_score_codex":0.000027728436,"about_ca_system_score_gemma":0.00004838136,"threshold_uncertainty_score":0.41151372},"labels":[],"label_agreement":null},{"id":"W4380290759","doi":"10.1177/15500594231179679","title":"Transcranial Alternating Current Stimulation Alters Auditory Steady-State Oscillatory Rhythms and Their Cross-Frequency Couplings","year":2023,"lang":"en","type":"article","venue":"Clinical EEG and Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Royal Ottawa Mental Health Centre; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transcranial alternating current stimulation; Neuroscience; Electroencephalography; Stimulation; Auditory cortex; Rhythm; Temporal lobe; Audiology; Neuroplasticity; Psychology; Transcranial magnetic stimulation; Physics; Epilepsy; Medicine; Acoustics","score_opus":0.08522730202443332,"score_gpt":0.36891851673256826,"score_spread":0.28369121470813496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380290759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922065,0.000051893203,0.0007746451,0.00037567367,0.0059988876,0.00026574408,0.00004294695,0.00022261364,0.00006107913],"genre_scores_gemma":[0.9971739,0.0013047897,0.000014183951,0.0010545744,0.00027151653,0.000009910813,0.0000021345506,0.000023353046,0.00014565153],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972604,0.00016380068,0.0006178368,0.0011210195,0.0003706024,0.00046635498],"domain_scores_gemma":[0.9980204,0.0011844818,0.00021954425,0.00024899296,0.000046988815,0.0002796036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009788555,0.00024107972,0.00027272518,0.00012284164,0.0006166892,0.00025657867,0.0002536093,0.00007277356,0.00000382218],"category_scores_gemma":[0.0015204402,0.00019489968,0.000099491284,0.0005131198,0.0010668281,0.00050025416,0.00015265246,0.00045671168,0.000016396478],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009922506,0.0001109662,0.0247585,0.00008035634,0.0000017935614,0.00005293712,0.00038007752,0.0030096245,0.9045286,0.0007106176,0.000108196386,0.06615909],"study_design_scores_gemma":[0.0014993998,0.00072217797,0.35749316,0.0000884536,0.000010879459,0.000055681892,0.00002523563,0.6278874,0.0039913068,0.004671371,0.0030062443,0.00054865493],"about_ca_topic_score_codex":0.0000066592006,"about_ca_topic_score_gemma":0.000002533493,"teacher_disagreement_score":0.9005373,"about_ca_system_score_codex":0.000017699056,"about_ca_system_score_gemma":0.00005457686,"threshold_uncertainty_score":0.7947778},"labels":[],"label_agreement":null},{"id":"W4380322268","doi":"10.1101/2023.06.09.543951","title":"Neural signatures of visual awareness independent of post-perceptual processing","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Templeton World Charity Foundation; Canadian Institute for Advanced Research; American Psychological Foundation; National Science Foundation","keywords":"Perception; P3b; Stimulus (psychology); Psychology; Electroencephalography; Cognitive psychology; Consciousness; Neural correlates of consciousness; Visual perception; Mismatch negativity; Backward masking; Event-related potential; Computer science; Cognition; Neuroscience","score_opus":0.029064748414665297,"score_gpt":0.2644154729535303,"score_spread":0.235350724538865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380322268","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99641085,0.00012266132,0.00039768286,0.00013426378,0.001664919,0.0005796978,0.00036801343,0.00031862163,0.0000032979872],"genre_scores_gemma":[0.9991304,0.000054620283,0.00019620662,0.00018077884,0.00023007055,0.000059283713,6.837595e-7,0.00013953033,0.000008424631],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9964496,0.00021736001,0.0007874051,0.0011525641,0.0009020267,0.00049105025],"domain_scores_gemma":[0.99745667,0.00018648851,0.00086245604,0.0006828285,0.0006522163,0.00015936991],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040266864,0.00049425656,0.00070380047,0.00048211616,0.00015355443,0.00012498358,0.0007533702,0.0005334414,0.00002614551],"category_scores_gemma":[0.00082506443,0.000503439,0.00022122788,0.00077751494,0.00027593767,0.00022381984,0.0007953817,0.00091186096,0.000013165723],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000084701074,0.00023586987,0.0021600528,0.00087651575,0.000021873837,0.000030956326,0.000020401154,0.0012068374,0.99509704,0.00023693305,0.000016964354,0.000011881575],"study_design_scores_gemma":[0.00034141552,0.00020006819,0.118576676,0.0004733177,0.0000701626,2.323687e-8,0.00000969417,0.01404364,0.86572665,0.000006070847,0.00002394683,0.00052834325],"about_ca_topic_score_codex":0.00010451896,"about_ca_topic_score_gemma":0.000005774336,"teacher_disagreement_score":0.12937038,"about_ca_system_score_codex":0.000104197745,"about_ca_system_score_gemma":0.00058731117,"threshold_uncertainty_score":0.99974173},"labels":[],"label_agreement":null},{"id":"W4380487452","doi":"10.31234/osf.io/r49sy","title":"A novel method for estimating properties of attentional oscillators reveals an age-related decline in flexibility","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Flexibility (engineering); Cognitive flexibility; Psychology; Computer science; Cognitive psychology; Econometrics; Economics; Mathematics; Statistics; Neuroscience; Cognition","score_opus":0.200734052430296,"score_gpt":0.3780355206310304,"score_spread":0.17730146820073442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380487452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8203769,0.00000471803,0.17581397,0.0008060601,0.001270702,0.0013133487,0.00015489732,0.00017851876,0.00008090233],"genre_scores_gemma":[0.7614048,0.0000027249648,0.23628989,0.00025793552,0.00006155267,0.00015752825,0.000064021304,0.00004443946,0.0017171205],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99733245,0.00019710178,0.0009037995,0.0009650829,0.00034577894,0.00025576042],"domain_scores_gemma":[0.99854606,0.0004659405,0.0003863981,0.00042036333,0.00012062095,0.00006062261],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018522436,0.00023673408,0.0004619618,0.00022662211,0.000083170264,0.0000617127,0.00032620036,0.00023208113,0.000015644591],"category_scores_gemma":[0.003267141,0.00019083243,0.00019133913,0.0003212116,0.00010841319,0.00011750122,0.0006056561,0.0003686317,0.0000032838382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000083672596,0.00018895135,0.00050364534,0.0005314066,0.000009096461,0.0000022540464,0.000082627594,0.06775899,0.92571014,0.0033476986,0.000022953662,0.001758555],"study_design_scores_gemma":[0.0004244477,0.00009022677,0.0041390117,0.00028825164,0.000015964048,0.000006767578,0.00001873068,0.9318993,0.018433519,0.04445329,0.0000064590436,0.00022401247],"about_ca_topic_score_codex":0.00060174265,"about_ca_topic_score_gemma":0.00029830998,"teacher_disagreement_score":0.90727663,"about_ca_system_score_codex":0.00007991118,"about_ca_system_score_gemma":0.00009781311,"threshold_uncertainty_score":0.77819204},"labels":[],"label_agreement":null},{"id":"W4380550423","doi":"10.1101/2023.06.13.544847","title":"Aberrant cortical activity, functional connectivity, and neural assembly architecture after photothrombotic stroke in mice","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta","funders":"","keywords":"Somatosensory system; Forelimb; Neuroscience; Barrel cortex; Calcium imaging; Cortex (anatomy); Neuroplasticity; Stroke (engine); Cerebral cortex; Premovement neuronal activity; Biology; Psychology; Medicine; Calcium; Physics; Internal medicine","score_opus":0.028966502928997228,"score_gpt":0.236038965570297,"score_spread":0.20707246264129978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380550423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99343544,0.000049387978,0.0011396799,0.0012134655,0.0025034081,0.0008457926,0.00041712925,0.0003913756,0.000004334997],"genre_scores_gemma":[0.9984503,0.000073257324,0.00015430317,0.000596483,0.0002907956,0.0002672517,2.9669906e-7,0.00014409769,0.000023251327],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99594754,0.00045350697,0.00044390318,0.0017750151,0.0006261981,0.000753857],"domain_scores_gemma":[0.997852,0.0008593119,0.000254423,0.00065094343,0.000102417725,0.00028085435],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004743161,0.0006491996,0.0006570358,0.00048000153,0.00019497072,0.00036968602,0.00032939258,0.0005108519,0.000028076012],"category_scores_gemma":[0.001019731,0.0006616811,0.00017035061,0.0005717974,0.00026945607,0.00019873642,0.0009096772,0.0020787306,0.000030129126],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002093376,0.00019583212,0.0073697353,0.00021489871,0.00002512658,0.0002860094,0.000007563959,0.00065908214,0.99080986,0.00018761569,0.000028229186,0.0000067277056],"study_design_scores_gemma":[0.0006895734,0.00012007825,0.77189356,0.00018405024,0.000060269693,4.5081495e-7,0.0000012236085,0.020822657,0.20540032,0.000025718746,0.000053572472,0.0007485295],"about_ca_topic_score_codex":0.00010366899,"about_ca_topic_score_gemma":0.00008429388,"teacher_disagreement_score":0.7854095,"about_ca_system_score_codex":0.000224548,"about_ca_system_score_gemma":0.00022643845,"threshold_uncertainty_score":0.9995834},"labels":[],"label_agreement":null},{"id":"W4380576095","doi":"10.7554/elife.88608.1.sa3","title":"eLife Assessment: Differentiation and Integration of Competing Memories: A Neural Network Model","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Institutes of Health","keywords":"Competitor analysis; Set (abstract data type); Computer science; Dynamics (music); Artificial neural network; Cognitive science; Competitive learning; Artificial intelligence; Psychology; Cognitive psychology; Neuroscience","score_opus":0.06826456925180567,"score_gpt":0.3293635121654518,"score_spread":0.2610989429136461,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380576095","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1923336,0.012140087,0.3476717,0.23150131,0.09330796,0.0204367,0.004611687,0.0050084363,0.09298854],"genre_scores_gemma":[0.645025,0.047914177,0.0039343853,0.017822891,0.0021836173,0.00033579397,0.0044539073,0.0003445148,0.27798572],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99795645,0.0001693586,0.00056456914,0.00053381914,0.0005365007,0.00023932113],"domain_scores_gemma":[0.9986284,0.00043540593,0.00049302465,0.00024995237,0.00013695438,0.000056256788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036004558,0.00027730176,0.000516341,0.00010221817,0.0001490235,0.0000826449,0.00017702332,0.00011056646,0.000039712482],"category_scores_gemma":[0.00046163847,0.00022027819,0.000104751605,0.00039076913,0.00006103997,0.00015226364,0.00017183559,0.00040407912,0.000004276905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007813531,0.00021935967,0.00017097854,0.008531351,0.000063469786,0.0000113116685,0.00014243275,0.03630859,0.07348676,0.027301077,0.81144696,0.042239595],"study_design_scores_gemma":[0.00015094156,0.00011086789,0.00020325772,0.0012541648,0.00008042737,0.000004132287,0.00000960427,0.9940219,0.0002651701,0.0010858494,0.002592151,0.0002215501],"about_ca_topic_score_codex":0.00004169947,"about_ca_topic_score_gemma":0.000137646,"teacher_disagreement_score":0.9577133,"about_ca_system_score_codex":0.000042433887,"about_ca_system_score_gemma":0.000056047702,"threshold_uncertainty_score":0.89826834},"labels":[],"label_agreement":null},{"id":"W4380988328","doi":"10.1016/j.isci.2023.107139","title":"Descending pathways increase sensory neural response heterogeneity to facilitate decoding and behavior","year":2023,"lang":"en","type":"article","venue":"iScience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Sensory system; Stimulus (psychology); Population; Neural coding; Biology; Sensory stimulation therapy; Psychology; Medicine","score_opus":0.1507057786333902,"score_gpt":0.3074572425174853,"score_spread":0.15675146388409508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380988328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984975,0.000007733198,0.00014421747,0.0003666304,0.0004274603,0.00022854295,0.000056916793,0.00020373405,0.00006727193],"genre_scores_gemma":[0.9987116,0.000011563476,0.00013066354,0.0006853728,0.000019294499,0.000026102565,7.999789e-7,0.000010041424,0.0004045722],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99828357,0.00020673715,0.00016119354,0.0006195036,0.0003020781,0.0004269432],"domain_scores_gemma":[0.9990103,0.000458681,0.00003987674,0.00022664946,0.000020254141,0.00024422174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007405402,0.00013017215,0.000104674255,0.00022236163,0.0004968878,0.00015457126,0.00021679405,0.000029912724,0.000006213166],"category_scores_gemma":[0.0014886087,0.000118210075,0.00003771983,0.0008274933,0.00015602919,0.0003186984,0.0002659236,0.000107350665,0.0001179072],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000795634,0.000013275067,0.0029973944,0.0000046634113,1.9599327e-7,0.00014593909,0.00026283725,0.00014771287,0.9840511,0.00007838102,0.00003325659,0.0121856695],"study_design_scores_gemma":[0.0004293564,0.0004444713,0.37144986,0.000033661443,0.000013429451,0.0003221564,0.0002523008,0.10076571,0.5245932,0.00021380029,0.00090316957,0.00057892204],"about_ca_topic_score_codex":0.000027337812,"about_ca_topic_score_gemma":0.000017241298,"teacher_disagreement_score":0.45945796,"about_ca_system_score_codex":0.000043985812,"about_ca_system_score_gemma":0.000023276252,"threshold_uncertainty_score":0.4820467},"labels":[],"label_agreement":null},{"id":"W4381490648","doi":"10.1016/j.neuron.2023.05.030","title":"The mode is the message","year":2023,"lang":"en","type":"letter","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre; McGill University","funders":"Canadian Institutes of Health Research","keywords":"Posterior parietal cortex; Neuroscience; Neuron; Visual cortex; Cortex (anatomy); Eye movement; Psychology","score_opus":0.03827071472574476,"score_gpt":0.2651792545099552,"score_spread":0.22690853978421047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381490648","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002272557,0.000013093186,0.0000075425837,0.98752373,0.0045889025,0.00033154577,0.00007613397,0.00018725471,0.004999263],"genre_scores_gemma":[0.0033039623,0.0003259588,4.809078e-7,0.9018611,0.0019841867,0.000047760015,0.000011147014,0.000084140825,0.0923813],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980391,0.0002634977,0.0001845773,0.0005469113,0.0005545155,0.0004113735],"domain_scores_gemma":[0.99745446,0.0015799704,0.00012887226,0.0007986871,0.000016557848,0.00002142994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001011994,0.00022882786,0.00013149825,0.00004008669,0.00068594003,0.0002867779,0.0008585399,0.00020169393,0.000028538883],"category_scores_gemma":[0.00030018965,0.000113422495,0.0001578323,0.00026454788,0.00015270368,0.00005660969,0.00019560456,0.0018197878,0.0007339456],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004383972,0.000002340094,9.1175673e-7,0.000009820394,0.000001957906,0.00012735439,0.000020536676,0.000012375184,0.0065204124,0.0002000184,0.991439,0.0016609116],"study_design_scores_gemma":[0.000047450252,0.000040392246,0.000047504276,0.000008408404,0.000012512581,0.00001827002,0.0000020383914,0.004021472,0.0017774502,0.0019181741,0.9919789,0.00012742975],"about_ca_topic_score_codex":0.000028521094,"about_ca_topic_score_gemma":0.000010001566,"teacher_disagreement_score":0.08738203,"about_ca_system_score_codex":0.00002275276,"about_ca_system_score_gemma":0.000023547906,"threshold_uncertainty_score":0.9433631},"labels":[],"label_agreement":null},{"id":"W4381716880","doi":"10.3758/s13428-023-02098-1","title":"From pre-processing to advanced dynamic modeling of pupil data","year":2023,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Max-Planck-Gesellschaft; Deutsche Forschungsgemeinschaft","keywords":"Pupillometry; Computer science; Variety (cybernetics); Dynamic time warping; Pupil; Pupil size; Artificial intelligence; Psychology","score_opus":0.5692682817835731,"score_gpt":0.6245009920505697,"score_spread":0.05523271026699661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381716880","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9213786,0.000034874112,0.07685974,0.0003499133,0.00030743703,0.0005544459,0.00022326542,0.00014463055,0.00014707],"genre_scores_gemma":[0.91130245,0.00006166871,0.08728336,0.000045698645,0.00005551366,0.0001339687,0.00008455926,0.00005016204,0.0009826055],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99623704,0.0010697849,0.00033606004,0.00091652235,0.0008788769,0.0005616882],"domain_scores_gemma":[0.9974943,0.0009694056,0.00005736843,0.001143135,0.00015986797,0.00017591967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036539189,0.00013057259,0.00022329137,0.0004415987,0.0002628984,0.000102726255,0.0012136301,0.00007121164,0.000040081562],"category_scores_gemma":[0.003861872,0.000119924036,0.0000436459,0.0020441809,0.00010291783,0.00040903842,0.001351265,0.00044171404,0.00004560842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004519603,0.00003714301,0.000036054505,0.00001382825,6.983019e-7,0.0000133089,0.00012980404,0.0017542905,0.6571992,0.000018727034,0.000034533263,0.34071723],"study_design_scores_gemma":[0.00019049541,0.0001063157,0.0015329871,0.000059970287,0.00000866172,0.0000023690798,0.00023718565,0.92375916,0.07188261,0.0016366094,0.00044164827,0.00014195412],"about_ca_topic_score_codex":0.00025827566,"about_ca_topic_score_gemma":0.000026679556,"teacher_disagreement_score":0.9220049,"about_ca_system_score_codex":0.0000637697,"about_ca_system_score_gemma":0.00010378747,"threshold_uncertainty_score":0.48903602},"labels":[],"label_agreement":null},{"id":"W4381801537","doi":"10.1038/s42003-023-05042-3","title":"Cortical recurrence supports resilience to sensory variance in the primary visual cortex","year":2023,"lang":"en","type":"article","venue":"Communications Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Agence Nationale de la Recherche; Government of Canada; CIHR Skin Research Training Centre; Canadian Institutes of Health Research; Aix-Marseille Université","keywords":"Sensory system; Visual cortex; Variance (accounting); Computer science; Population; Neuroscience; Encoding (memory); Population variance; Psychology; Artificial intelligence","score_opus":0.06717530252220229,"score_gpt":0.35772230544089195,"score_spread":0.2905470029186897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381801537","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97600967,0.000045015673,0.0005516028,0.016326962,0.00042654728,0.00052840024,0.00003654672,0.00013597879,0.0059392727],"genre_scores_gemma":[0.994374,0.00038829874,0.00023005223,0.0045675766,0.00002024876,0.00009429752,0.000044050852,0.000006349734,0.00027515384],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99824524,0.00081514963,0.00024918487,0.00032137052,0.00009646258,0.00027257172],"domain_scores_gemma":[0.9967446,0.0019865828,0.000057392954,0.0011360018,0.000029051218,0.00004640401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005724148,0.00008815208,0.000115811476,0.00012576343,0.00030460337,0.000026803218,0.0011627467,0.000062346124,0.000013759565],"category_scores_gemma":[0.0013548774,0.0000673719,0.000028523431,0.001148002,0.0003729998,0.000066320325,0.00048138632,0.00034772573,0.00032012985],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005208472,0.00027620033,0.015896859,0.000010536859,0.0000021667604,0.000029425966,0.00069289695,0.00006846991,0.8448802,0.11225059,0.0027637498,0.02307678],"study_design_scores_gemma":[0.0003520908,0.00053331,0.88518137,0.000041540214,0.000009751353,0.000139702,0.00033523553,0.034665648,0.0018758125,0.012241109,0.064196415,0.00042802904],"about_ca_topic_score_codex":0.000016646683,"about_ca_topic_score_gemma":0.000057808655,"teacher_disagreement_score":0.8692845,"about_ca_system_score_codex":0.000032621818,"about_ca_system_score_gemma":0.000052971154,"threshold_uncertainty_score":0.41147283},"labels":[],"label_agreement":null},{"id":"W4382315328","doi":"10.7554/elife.77690.sa0","title":"Editor's evaluation: Interplay between external inputs and recurrent dynamics during movement preparation and execution in a network model of motor cortex","year":2022,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Movement (music); Macaque; Feed forward; Primary motor cortex; Neuroscience; Premotor cortex; Dynamics (music); Recurrent neural network; Linear subspace; Motor cortex; Task (project management); Artificial neural network; Artificial intelligence; Psychology; Mathematics; Biology; Control engineering; Physics","score_opus":0.03451887625466411,"score_gpt":0.3332321772367979,"score_spread":0.2987133009821338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382315328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9233716,0.00918323,0.009957824,0.00813153,0.03401199,0.010658404,0.0022095465,0.000152196,0.0023236857],"genre_scores_gemma":[0.9206652,0.030462006,0.000748379,0.0028134694,0.0071879155,0.0015676405,0.0024913214,0.00014699754,0.03391708],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99717814,0.0002703037,0.0007121986,0.0007178826,0.0008925365,0.00022896267],"domain_scores_gemma":[0.99894196,0.000130194,0.0005045682,0.00024860507,0.00010524341,0.000069425514],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008562354,0.00027520783,0.00046251892,0.00017024117,0.00012217378,0.0000514022,0.00016068164,0.00012382896,0.000097783115],"category_scores_gemma":[0.00017997251,0.0002663214,0.00006772008,0.00022628492,0.000055054534,0.00019822447,0.00035284212,0.0004163859,4.6330499e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031093159,0.0017088401,0.008039745,0.030844077,0.00029136674,0.000037673755,0.0015699281,0.14424868,0.097417474,0.0068429583,0.48465097,0.22123897],"study_design_scores_gemma":[0.0005632634,0.00039776074,0.002711359,0.0017752956,0.0001238021,0.0000063855346,0.000005724382,0.9897172,0.00012489081,0.0016387522,0.0026096713,0.000325898],"about_ca_topic_score_codex":0.000054316526,"about_ca_topic_score_gemma":0.00024398701,"teacher_disagreement_score":0.8454685,"about_ca_system_score_codex":0.0004512501,"about_ca_system_score_gemma":0.000102422244,"threshold_uncertainty_score":0.9999789},"labels":[],"label_agreement":null},{"id":"W4382362322","doi":"10.21203/rs.3.rs-3101836/v1","title":"An adversarial collaboration to critically evaluate theories of consciousness","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"Templeton World Charity Foundation; Max-Planck-Gesellschaft","keywords":"Psychology; Functional magnetic resonance imaging; Consciousness; Cognitive psychology; Neural correlates of consciousness; Cognitive science; Stimulus (psychology); Visual cortex; Magnetoencephalography; Prefrontal cortex; Neuroscience; Electromagnetic theories of consciousness; Cognition; Electroencephalography","score_opus":0.10244538221796133,"score_gpt":0.4482308974503312,"score_spread":0.34578551523236983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382362322","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98217297,0.000014135322,0.0018532184,0.007335716,0.0029528355,0.0026779599,0.001198232,0.00024553208,0.0015494305],"genre_scores_gemma":[0.9983828,0.000049446167,0.00012266864,0.00015282014,0.0003180037,0.00021422411,0.00008053021,0.000045772216,0.0006337388],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.994815,0.0016406444,0.00036483744,0.000870217,0.001809573,0.0004997399],"domain_scores_gemma":[0.99535286,0.001462559,0.00007580233,0.00077871257,0.002101605,0.00022843509],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0025912202,0.00018702743,0.00030184846,0.0005157431,0.00029058964,0.0003245636,0.00064058177,0.00022758899,0.0000886222],"category_scores_gemma":[0.012322561,0.00017169295,0.000079778765,0.0011707658,0.00038121993,0.00016357994,0.00081128033,0.0007415438,0.00014730019],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011660466,0.00031612645,0.000400771,0.0010947232,0.000017003616,0.00009587603,0.001666847,0.0111399945,0.7608001,0.21804072,0.0024045957,0.0028571705],"study_design_scores_gemma":[0.0015817326,0.004589729,0.00797846,0.0014414197,0.000057032965,0.000008087277,0.0042812726,0.09724252,0.27444693,0.604984,0.002201257,0.0011876038],"about_ca_topic_score_codex":0.00017188098,"about_ca_topic_score_gemma":0.00025545186,"teacher_disagreement_score":0.4863532,"about_ca_system_score_codex":0.00015231011,"about_ca_system_score_gemma":0.0007774765,"threshold_uncertainty_score":0.9959971},"labels":[],"label_agreement":null},{"id":"W4382362983","doi":"10.1101/2023.06.26.546352","title":"Prestimulus neural variability affects behavioral performances mediated by poststimulus-evoked responses at the intraindividual and interindividual levels","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"National Natural Science Foundation of China","keywords":"Stimulus (psychology); Psychology; Perception; Audiology; Electroencephalography; Sensory system; Neuroscience; Cognitive psychology; Medicine","score_opus":0.04433030239517887,"score_gpt":0.26802892716145865,"score_spread":0.22369862476627977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382362983","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894629,0.00011938042,0.000081601516,0.0014183264,0.002693553,0.0014266681,0.0040765973,0.000717687,0.000003296115],"genre_scores_gemma":[0.9986059,0.000096306525,0.00009415181,0.00046104926,0.0002286807,0.00028588515,0.000004378183,0.00015184986,0.00007176231],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99467826,0.0010879828,0.00061320065,0.0018512782,0.000853138,0.0009161642],"domain_scores_gemma":[0.99584967,0.0018931476,0.0005107651,0.0012349887,0.00015535305,0.00035606767],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016603259,0.00081854063,0.000629745,0.00024991482,0.00077276415,0.00065067527,0.0010116532,0.0005368063,0.00006918764],"category_scores_gemma":[0.0026727708,0.0006625439,0.00015910862,0.0006147917,0.0008700997,0.00036701918,0.0025804655,0.0013535417,0.00006333291],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002642926,0.00015949915,0.016027398,0.00018477155,0.00004355335,0.00008438411,0.00005489954,0.00015076333,0.98190284,0.00005973432,0.0010472429,0.000020601754],"study_design_scores_gemma":[0.0014602519,0.00075557816,0.607672,0.0002552232,0.00029028286,8.593299e-7,0.000009060385,0.03301699,0.3532694,0.000013326494,0.0015483632,0.0017086962],"about_ca_topic_score_codex":0.00007209883,"about_ca_topic_score_gemma":0.000017892891,"teacher_disagreement_score":0.62863344,"about_ca_system_score_codex":0.00029634885,"about_ca_system_score_gemma":0.00027892407,"threshold_uncertainty_score":0.9995826},"labels":[],"label_agreement":null},{"id":"W4382631101","doi":"10.1523/eneuro.0016-23.2023","title":"Stable Neural Population Dynamics in the Regression Subspace for Continuous and Categorical Task Parameters in Monkeys","year":2023,"lang":"en","type":"article","venue":"eNeuro","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Moonshot Research and Development Program; Ministry of Education, Culture, Sports, Science and Technology; Japan Society for the Promotion of Science; National Natural Science Foundation of China; Data Center of Management Science, National Natural Science Foundation of China - Peking University; Research Foundation for the Electrotechnology of Chubu","keywords":"Neural coding; Categorical variable; Population; Computer science; Artificial intelligence; Coding (social sciences); Subspace topology; Pattern recognition (psychology); Artificial neural network; Machine learning; Mathematics; Statistics","score_opus":0.0330378325864703,"score_gpt":0.2750705412592082,"score_spread":0.2420327086727379,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382631101","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965432,0.000006166581,0.00008726564,0.002502859,0.00034816822,0.0003952004,0.000011683485,0.00004725818,0.00005819245],"genre_scores_gemma":[0.9990661,0.000035905654,0.000018797808,0.0005341148,0.00001829414,0.000044479937,0.000028054548,0.000014809049,0.0002394005],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892956,0.00016926894,0.00016479708,0.00032464426,0.00015760558,0.0002540997],"domain_scores_gemma":[0.99906003,0.0007004345,0.00005659818,0.00014678067,0.00000787467,0.000028276418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019470445,0.000104514096,0.00012292381,0.00013437994,0.00009395826,0.000067087276,0.00011959465,0.000046844994,6.0257497e-7],"category_scores_gemma":[0.00053171586,0.00007366196,0.000028657263,0.0005617665,0.000028801916,0.00013656009,0.000041834308,0.00016474957,0.0000024278843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012816972,0.0005540395,0.5272644,0.00025475354,0.0000060104944,0.0010773527,0.0025698293,0.056367926,0.28822148,0.053925917,0.005238757,0.06323784],"study_design_scores_gemma":[0.0005318294,0.00015913277,0.15664577,0.0000100382495,0.0000036055837,0.000021810414,0.00016376341,0.8364651,0.0011881319,0.004500377,0.00017619338,0.0001342099],"about_ca_topic_score_codex":0.00034118982,"about_ca_topic_score_gemma":0.00048640498,"teacher_disagreement_score":0.7800972,"about_ca_system_score_codex":0.000047925623,"about_ca_system_score_gemma":0.000005223542,"threshold_uncertainty_score":0.30038476},"labels":[],"label_agreement":null},{"id":"W4382652027","doi":"10.1101/2023.06.28.546924","title":"Learning better with Dale’s Law: A Spectral Perspective","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Recurrent neural network; Singular value decomposition; Computer science; Artificial neural network; Artificial intelligence; Feed forward; Perspective (graphical); Singular value; Constraint (computer-aided design); Law; Mathematics; Engineering; Physics","score_opus":0.02141940845334666,"score_gpt":0.22667167784107037,"score_spread":0.2052522693877237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382652027","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99354666,0.000040576106,0.0006560443,0.00166586,0.001612423,0.00074586214,0.00011807166,0.0014277535,0.0001867644],"genre_scores_gemma":[0.99704665,0.0000640982,0.00070786773,0.0009911665,0.00068864046,0.00014871426,2.1493837e-7,0.00023978262,0.000112872985],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9962556,0.0002368355,0.0003523597,0.0017799529,0.00061499834,0.00076028693],"domain_scores_gemma":[0.9980669,0.00018181406,0.0003559079,0.00089902605,0.00026252863,0.00023383473],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003228536,0.0006216844,0.00050193176,0.00027969907,0.00041358167,0.00047782346,0.000518623,0.00034600665,0.000042198306],"category_scores_gemma":[0.0003865877,0.0005787087,0.00017411761,0.0006715456,0.00027825427,0.00024552635,0.0005115772,0.0018384595,0.00030040092],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000079292375,0.00008808168,0.0022039812,0.000117273004,0.00005693734,0.00044737413,0.00002937472,0.0007396138,0.97535187,0.02072121,0.00016429056,6.905341e-7],"study_design_scores_gemma":[0.001481812,0.0008293784,0.080640644,0.0007902434,0.00024715508,3.565175e-7,0.000038349885,0.008156521,0.89881504,0.00023244768,0.005762373,0.0030056941],"about_ca_topic_score_codex":0.0002444472,"about_ca_topic_score_gemma":0.000024293944,"teacher_disagreement_score":0.078436665,"about_ca_system_score_codex":0.00044039686,"about_ca_system_score_gemma":0.00024851534,"threshold_uncertainty_score":0.99966645},"labels":[],"label_agreement":null},{"id":"W4382699443","doi":"10.1142/9789811263033_0010","title":"Phase Locking and Lyapunov Exponent Behavior in Brain Networks of Epileptic Patients","year":2023,"lang":"en","type":"book-chapter","venue":"WORLD SCIENTIFIC eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto; Ontario Brain Institute; University of Calgary; University of Victoria","funders":"","keywords":"Lyapunov exponent; Neuroscience; Epilepsy; Psychology; Phase locking; Phase (matter); Statistical physics; Physics; Nonlinear system; Quantum mechanics","score_opus":0.04620136703111125,"score_gpt":0.2669213083258313,"score_spread":0.22071994129472003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382699443","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6871286,0.00010201938,0.00014334622,0.00022397451,0.014133416,0.0039213537,0.00044405356,0.0003495318,0.2935537],"genre_scores_gemma":[0.37636828,0.0000016949173,0.000011194931,0.000104087856,0.000046525107,0.000028029255,0.000042181862,0.000056031426,0.623342],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972108,0.00005871031,0.0006641205,0.0010464422,0.0006065037,0.00041344974],"domain_scores_gemma":[0.998621,0.000291213,0.00039669394,0.00049542217,0.00006676014,0.00012890933],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004972566,0.00034101988,0.0004246435,0.0009968332,0.0002363417,0.00017035015,0.000295017,0.0001466851,0.000061018804],"category_scores_gemma":[0.00006894902,0.00033697172,0.0001682666,0.00017866513,0.0005655722,0.00007314008,0.0002823324,0.00047362,0.000030403158],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007414763,0.0019236471,0.0020563013,0.0006855313,0.00006802074,0.0010307177,0.0015005887,0.0005554912,0.34844366,0.29473442,0.02593197,0.32232818],"study_design_scores_gemma":[0.038851414,0.006447075,0.010476415,0.012475872,0.0012884956,0.00010503982,0.00013654299,0.10714089,0.045489002,0.09880227,0.665873,0.012913991],"about_ca_topic_score_codex":0.000005717226,"about_ca_topic_score_gemma":0.000752348,"teacher_disagreement_score":0.63994104,"about_ca_system_score_codex":0.00007930863,"about_ca_system_score_gemma":0.0000422958,"threshold_uncertainty_score":0.9999082},"labels":[],"label_agreement":null},{"id":"W4382721584","doi":"10.1016/j.neuroimage.2023.120256","title":"Attentional modulation of inter-areal coherence explained by frequency shifts","year":2023,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"H2020 European Research Council; European Research Council; Bundesministerium für Bildung und Forschung; European Commission","keywords":"Coherence (philosophical gambling strategy); Communication source; Salience (neuroscience); Coherence time; Computer science; Coherence theory; Coherence length; Physics; Telecommunications; Artificial intelligence; Quantum mechanics","score_opus":0.039664994307059075,"score_gpt":0.2709363932583194,"score_spread":0.23127139895126034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382721584","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951814,0.0000020813113,0.00092902506,0.0006504181,0.0005435263,0.00017021051,0.00012894408,0.00016728099,0.0022271075],"genre_scores_gemma":[0.9983378,0.000010120835,0.00003597477,0.0003200876,0.00003596683,0.000014521265,0.0000615767,0.000017524231,0.0011663988],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988137,0.000092258015,0.00023573708,0.0003813221,0.0002780434,0.00019897638],"domain_scores_gemma":[0.999422,0.00017589127,0.00011206217,0.00020547502,0.000034074,0.000050486207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000101035876,0.00011207157,0.00011400148,0.00010819315,0.00008808863,0.000033961427,0.00018703385,0.000038144106,0.00012308935],"category_scores_gemma":[0.00030177418,0.00010857074,0.00006499463,0.0004853737,0.00008123153,0.00026086683,0.00007171483,0.00012299043,0.00013990371],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014886656,0.000039023947,0.0014276444,0.000013633438,9.960554e-7,0.000017835733,0.000023429715,0.000046400997,0.9916352,0.001320014,0.0033201652,0.0021407786],"study_design_scores_gemma":[0.0017486196,0.00089539104,0.44495848,0.00008635693,0.000021849213,0.00004356038,0.000050591894,0.14569286,0.38352314,0.02070861,0.0015500458,0.0007205242],"about_ca_topic_score_codex":0.000022226151,"about_ca_topic_score_gemma":0.00000494796,"teacher_disagreement_score":0.60811204,"about_ca_system_score_codex":0.000015749498,"about_ca_system_score_gemma":0.00001410316,"threshold_uncertainty_score":0.44273862},"labels":[],"label_agreement":null},{"id":"W4382930886","doi":"10.1073/pnas.2218841120","title":"Intrinsic neural diversity quenches the dynamic volatility of neural networks","year":2023,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; University of Toronto; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Artificial neural network; Volatility (finance); Computer science; Statistical physics; Artificial intelligence; Econometrics; Economics; Physics","score_opus":0.057366438494010845,"score_gpt":0.2888723537357643,"score_spread":0.23150591524175346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382930886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99397767,0.000017443757,0.0000013521583,0.005208284,0.00009906677,0.00018641622,0.000016087126,0.000024928735,0.00046876035],"genre_scores_gemma":[0.9994508,0.000022907643,0.000015335785,0.00038040406,0.00003628393,0.000003128729,1.287207e-7,0.000002964102,0.000088056964],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981283,0.000023570547,0.0002936634,0.0002837383,0.0010836764,0.00018705704],"domain_scores_gemma":[0.99887615,0.00047437006,0.00044533712,0.000015557232,0.00016241822,0.000026136544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011722655,0.000095598996,0.00014046993,0.0001311818,0.0005731507,0.000024490291,0.0011521743,0.000058131838,0.0000064636356],"category_scores_gemma":[0.0012366195,0.000054008837,0.0001102662,0.0018857185,0.0014908804,0.00045529802,0.0007125396,0.00024354641,6.675289e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008541592,0.000077193254,0.074458554,0.000104371386,0.000012098078,4.9440896e-8,0.00046371602,0.01330812,0.86506563,0.040809307,0.00072131964,0.0048942124],"study_design_scores_gemma":[0.000080331876,0.000042956362,0.34712443,0.000014725399,0.000007651828,0.0000045767056,0.00007915797,0.5984257,0.031133631,0.023023123,0.000008848036,0.000054887063],"about_ca_topic_score_codex":0.000016698732,"about_ca_topic_score_gemma":4.2180676e-7,"teacher_disagreement_score":0.833932,"about_ca_system_score_codex":0.000026300913,"about_ca_system_score_gemma":0.000012707121,"threshold_uncertainty_score":0.54932106},"labels":[],"label_agreement":null},{"id":"W4382931649","doi":"10.1101/2023.06.27.546752","title":"Cortical Origin of Theta Error Signals","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Institute of Mental Health; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Macaque; Neuroscience; Electroencephalography; Physics; Local field potential; Modulation (music); Electrophysiology; Psychology","score_opus":0.05793595595681941,"score_gpt":0.2715631823317039,"score_spread":0.2136272263748845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382931649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99394053,0.00005278588,0.00087217917,0.00050718547,0.0029651383,0.00066580775,0.0003940547,0.0005762211,0.000026112],"genre_scores_gemma":[0.998694,0.0001176788,0.0002923676,0.00033074402,0.00027988278,0.0000904085,1.7188702e-7,0.00013484844,0.000059894945],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9967656,0.00026721432,0.0006524427,0.0011683878,0.0006121309,0.00053420424],"domain_scores_gemma":[0.9975371,0.00039777023,0.00047230342,0.0011465972,0.00022690765,0.00021936835],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00057268655,0.00044926605,0.00059045735,0.00028322445,0.00014641447,0.00013225366,0.0007167632,0.00039572176,0.00007802476],"category_scores_gemma":[0.0013024727,0.00042706577,0.00023507907,0.000705745,0.0002318757,0.00012346989,0.0006184188,0.00093233236,0.00024348752],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032034397,0.00011688827,0.0010831691,0.00021018049,0.000023272325,0.000069962654,0.0000024849226,0.00025247424,0.9941629,0.003684352,0.0003615315,7.2695684e-7],"study_design_scores_gemma":[0.00029274684,0.00009425495,0.034889467,0.00025973388,0.00007787545,2.077678e-8,0.0000010653391,0.0078112506,0.9541168,0.000048494476,0.0018031119,0.00060514704],"about_ca_topic_score_codex":0.000029100385,"about_ca_topic_score_gemma":0.000001364599,"teacher_disagreement_score":0.040046092,"about_ca_system_score_codex":0.00011094923,"about_ca_system_score_gemma":0.0003215961,"threshold_uncertainty_score":0.9998181},"labels":[],"label_agreement":null},{"id":"W4382931658","doi":"10.1523/jneurosci.2089-22.2023","title":"Interchangeable Role of Motor Cortex and Reafference for the Stable Execution of an Orofacial Action","year":2023,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Institute of Neurological Disorders and Stroke; Canadian Institutes of Health Research; National Institutes of Health; Ben-Gurion University of the Negev; Weizmann Institute of Science; Université Laval; Northwestern University","keywords":"Efference copy; Neuroscience; Sensory system; Psychology; Primary motor cortex; Motor system; Motor control; Motor cortex; Motor learning; Posterior parietal cortex; Sensory cortex; Perception; Stimulation","score_opus":0.08487819839937577,"score_gpt":0.3133900690438033,"score_spread":0.22851187064442752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382931658","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99743474,0.000016299347,0.0012122479,0.00021909233,0.0008856708,0.00017272717,0.000027187487,0.0000096307285,0.000022391498],"genre_scores_gemma":[0.99934345,0.0002950356,0.000059173253,0.00010416209,0.000054752792,0.0000035672294,2.7446845e-7,0.0000059608233,0.00013361113],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989805,0.000065076696,0.0002850529,0.00017229548,0.0003279245,0.0001691136],"domain_scores_gemma":[0.9989666,0.00029952222,0.00043155617,0.00012719151,0.00012087567,0.00005430212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005172917,0.00007082448,0.00014145377,0.00015054211,0.00015385305,0.000034497705,0.00027899808,0.000027417604,0.0000023861792],"category_scores_gemma":[0.0008326718,0.000047424935,0.000053133666,0.0004783404,0.00019323442,0.0004565477,0.00006330712,0.00011088494,3.216803e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015465816,0.000030365374,0.00009100382,0.00001550013,5.504849e-7,0.0000018953281,0.000099310906,0.00012649714,0.99026567,0.0005562848,0.00002790534,0.008630376],"study_design_scores_gemma":[0.00044668213,0.0027917358,0.10971388,0.000048490525,0.000023423749,0.00014777177,0.0004552498,0.21319881,0.6686752,0.0033031479,0.0010915663,0.000104057886],"about_ca_topic_score_codex":0.000017469674,"about_ca_topic_score_gemma":0.000007184156,"teacher_disagreement_score":0.32159048,"about_ca_system_score_codex":0.00001475459,"about_ca_system_score_gemma":0.000046108227,"threshold_uncertainty_score":0.19339328},"labels":[],"label_agreement":null},{"id":"W4382931804","doi":"10.1073/pnas.2220523120","title":"Subspace partitioning in the human prefrontal cortex resolves cognitive interference","year":2023,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Montreal Neurological Institute and Hospital; National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; Deutsche Forschungsgemeinschaft","keywords":"Prefrontal cortex; Cognition; Neuroscience; Coding (social sciences); Computer science; Subspace topology; ENCODE; Task (project management); Neural coding; Interference (communication); Psychology; Artificial intelligence; Biology; Channel (broadcasting); Mathematics; Engineering; Telecommunications","score_opus":0.09921524209996646,"score_gpt":0.3411798013582645,"score_spread":0.24196455925829802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382931804","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902631,0.0000063928255,5.3839807e-7,0.0028892737,0.000024374709,0.00017253219,0.000012138163,0.000015450818,0.0066162143],"genre_scores_gemma":[0.9992957,0.000012567309,0.000013349337,0.00043437214,0.000031018506,0.000017579905,1.9599867e-7,0.0000024313986,0.00019277811],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985906,0.000019484165,0.00021037931,0.00024104098,0.0007911095,0.00014737257],"domain_scores_gemma":[0.99928665,0.00038555666,0.00023180262,0.0000061081173,0.00007616151,0.000013705388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001071948,0.000066724766,0.00008116829,0.00015202267,0.00031839352,0.000048348225,0.00064741675,0.00003497776,0.000007301245],"category_scores_gemma":[0.0011679082,0.000038632563,0.000041695006,0.0013342052,0.0007862079,0.00041119344,0.00012734026,0.00018533778,0.0000035128555],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009031136,0.000024748235,0.00788487,0.000014333591,0.0000010895538,2.5081592e-8,0.0005621426,0.00002716749,0.92902404,0.062136244,0.00021191435,0.00010438709],"study_design_scores_gemma":[0.00013788306,0.00007940273,0.638681,0.00014995052,0.0000040733576,0.000007684507,0.0011561579,0.0036649555,0.2969607,0.059065133,0.000024412226,0.00006861118],"about_ca_topic_score_codex":0.0000078559115,"about_ca_topic_score_gemma":9.3495333e-7,"teacher_disagreement_score":0.6320633,"about_ca_system_score_codex":0.000016701193,"about_ca_system_score_gemma":0.000012435589,"threshold_uncertainty_score":0.28968158},"labels":[],"label_agreement":null},{"id":"W4382934074","doi":"10.1101/2023.07.02.547439","title":"Postsynaptic frequency filters shaped by the interplay of synaptic short-term plasticity and cellular time scales","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Consejo Nacional de Investigaciones Científicas y Técnicas; Division of Mathematical Sciences; York University; National Science Foundation","keywords":"Neuroscience; Synaptic plasticity; Synaptic augmentation; Excitatory postsynaptic potential; Nonsynaptic plasticity; Postsynaptic potential; Synaptic scaling; Neural facilitation; Metaplasticity; Post-tetanic potentiation; Synaptic fatigue; Inhibitory postsynaptic potential; Computer science; Biological system; Biology; Receptor","score_opus":0.016732591031939782,"score_gpt":0.22321045414112456,"score_spread":0.20647786310918478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382934074","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99606943,0.00015148072,0.00089587714,0.00030427633,0.0009246804,0.0006835539,0.00067704765,0.00028922482,0.0000044127364],"genre_scores_gemma":[0.9992782,0.0001134487,0.00012035687,0.0001766928,0.000101608006,0.00007979522,8.356945e-7,0.000112729176,0.000016371185],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99705106,0.00025066859,0.000601298,0.0011458618,0.00044655908,0.0005045699],"domain_scores_gemma":[0.9979117,0.0006487499,0.00035019,0.0007708441,0.00013349789,0.00018504847],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038216694,0.0005233472,0.00054497446,0.000206191,0.00021854612,0.00021289184,0.0007822421,0.00034647796,0.00004189376],"category_scores_gemma":[0.00070796977,0.0004316445,0.00015333423,0.00035408812,0.00051383965,0.0001442684,0.00076231215,0.00076465495,0.0000850907],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027950407,0.00006366566,0.0015354666,0.00022750086,0.000061734194,0.000053538835,0.0000078447165,0.00002398079,0.99758154,0.00028041424,0.00013461262,0.000001727174],"study_design_scores_gemma":[0.00038070072,0.00029213564,0.03599848,0.0006438283,0.0002456687,2.7943386e-7,0.000003681712,0.05010257,0.91115487,0.000035436773,0.000047265483,0.0010951092],"about_ca_topic_score_codex":0.000037392085,"about_ca_topic_score_gemma":0.000003035216,"teacher_disagreement_score":0.08642671,"about_ca_system_score_codex":0.00011817,"about_ca_system_score_gemma":0.000108718115,"threshold_uncertainty_score":0.99981356},"labels":[],"label_agreement":null},{"id":"W4382986741","doi":"10.1101/2023.07.03.547364","title":"Stimulus-dependent functional network topology in mouse visual cortex","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; Canadian Institute for Advanced Research","funders":"","keywords":"Visual cortex; Neuroscience; Stimulus (psychology); Functional connectivity; Network topology; Topology (electrical circuits); Psychology; Computer science; Cognitive psychology; Mathematics; Combinatorics; Computer network","score_opus":0.0306435466892803,"score_gpt":0.25082253997331405,"score_spread":0.22017899328403376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382986741","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879153,0.00007244092,0.0017525076,0.00048821422,0.008039453,0.0007693383,0.00019218514,0.00075674936,0.000013807672],"genre_scores_gemma":[0.99702424,0.00019905486,0.00017899762,0.0009483366,0.0010612204,0.0002188488,9.189739e-7,0.00016527144,0.00020311677],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9957782,0.00032463248,0.00068865146,0.0017000291,0.0006026196,0.0009058827],"domain_scores_gemma":[0.99807084,0.0003403517,0.00037930737,0.0008252033,0.0001489352,0.00023536039],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00063760113,0.00056928553,0.00057800027,0.00040510396,0.0002348178,0.00021090975,0.00053418614,0.00061920437,0.0001223735],"category_scores_gemma":[0.00060591166,0.00062362914,0.00016498684,0.000794871,0.00018077988,0.00016224397,0.00093331386,0.0013676882,0.00041295786],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011774919,0.0002011008,0.0071523204,0.00009334208,0.00002548262,0.00029777514,0.0000027944975,0.011821762,0.97658354,0.0028860762,0.0008155267,0.0000025140416],"study_design_scores_gemma":[0.0025814183,0.00046818916,0.55653006,0.0004166607,0.00011641564,2.8949776e-7,0.0000062143954,0.08923442,0.343757,0.00019927954,0.0036214085,0.0030686639],"about_ca_topic_score_codex":0.000108564695,"about_ca_topic_score_gemma":0.00004450456,"teacher_disagreement_score":0.63282657,"about_ca_system_score_codex":0.00039761097,"about_ca_system_score_gemma":0.0003829493,"threshold_uncertainty_score":0.9996215},"labels":[],"label_agreement":null},{"id":"W4382987925","doi":"10.1101/2023.06.30.547168","title":"Morphological variability may limit single-cell specificity to electric field stimulation","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Ontario Brain Institute; University of Ottawa; University Health Network","funders":"","keywords":"Neuroscience; Stimulation; Visual cortex; Biology; Cell type; Parvalbumin; Cell","score_opus":0.049749650592028835,"score_gpt":0.2432542277797535,"score_spread":0.19350457718772468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382987925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9817942,0.000012017227,0.01214536,0.0013334492,0.0024520508,0.0011654361,0.00008561632,0.0009540384,0.000057882415],"genre_scores_gemma":[0.9963135,0.000036721696,0.0013126188,0.0015440303,0.00051581836,0.00012560362,3.505315e-7,0.00010710471,0.00004426706],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9956538,0.0004241892,0.0006374323,0.0019771075,0.0005911937,0.0007162778],"domain_scores_gemma":[0.9967614,0.0009884761,0.00033570518,0.0013443225,0.00024063731,0.00032945556],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00087409164,0.00055757095,0.00052385195,0.00036815394,0.00024300137,0.00034163002,0.0007192558,0.0006625023,0.00010651986],"category_scores_gemma":[0.0032369352,0.0005670723,0.00020272266,0.0013659598,0.000044802135,0.00013825737,0.00069711084,0.00114391,0.00046995212],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008108808,0.00031906608,0.0027014515,0.000099186276,0.0000069372654,0.00009871697,0.0000024498104,0.0016391353,0.9937686,0.00053379487,0.0007443663,0.000005249575],"study_design_scores_gemma":[0.00024119102,0.00033154525,0.054867372,0.00006424052,0.000040807216,3.759581e-8,3.6942893e-7,0.009789548,0.93238467,0.000051381376,0.0014894883,0.0007393223],"about_ca_topic_score_codex":0.000040089788,"about_ca_topic_score_gemma":0.0000014499497,"teacher_disagreement_score":0.061383862,"about_ca_system_score_codex":0.00042799948,"about_ca_system_score_gemma":0.00016988663,"threshold_uncertainty_score":0.9996781},"labels":[],"label_agreement":null},{"id":"W4383199202","doi":"10.1162/netn_a_00328","title":"Top-down threat bias in pain perception is predicted by higher segregation between resting-state networks","year":2023,"lang":"en","type":"article","venue":"Network Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Nova Scotia Health Authority; Dalhousie University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Nova Scotia Health Research Foundation","keywords":"Resting state fMRI; Perception; Psychology; Anxiety; Pain perception; Affect (linguistics); Sensory system; Cognitive psychology; Audiology; Clinical psychology; Neuroscience; Medicine; Psychiatry; Physical therapy; Communication","score_opus":0.06185661164590079,"score_gpt":0.2746165293396,"score_spread":0.21275991769369923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383199202","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99107647,0.000011741666,0.0030779927,0.002214175,0.0019844577,0.00055421254,0.000056267516,0.00060979434,0.00041486297],"genre_scores_gemma":[0.9906187,0.00021746544,0.000028578896,0.005153398,0.0003657934,0.00004508621,0.000051562576,0.000043739998,0.0034756775],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9959093,0.0006969719,0.0005084135,0.0011957946,0.00070469815,0.0009848587],"domain_scores_gemma":[0.9982064,0.0009134111,0.0002231028,0.0004307954,0.000042006348,0.0001843104],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014462973,0.0003039138,0.00026529332,0.00021026458,0.0005071631,0.00025181967,0.00051834376,0.00014178714,0.000040784646],"category_scores_gemma":[0.000787634,0.00028373106,0.00007917845,0.004539995,0.00025608053,0.0005440899,0.0002001915,0.00051302963,0.000041582407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000114126145,0.00011256849,0.37357903,0.000038699152,0.000002287902,0.00012329158,0.00034679644,0.22116779,0.19469623,0.00031295914,0.11979684,0.089709364],"study_design_scores_gemma":[0.0003308449,0.00024292895,0.3252356,0.0000649991,0.0000060559078,0.0000053101844,0.000006652776,0.66583323,0.0006849598,0.001674708,0.0055909473,0.00032375706],"about_ca_topic_score_codex":0.00006546132,"about_ca_topic_score_gemma":0.00001774793,"teacher_disagreement_score":0.44466543,"about_ca_system_score_codex":0.000093813396,"about_ca_system_score_gemma":0.00003565595,"threshold_uncertainty_score":0.9999615},"labels":[],"label_agreement":null},{"id":"W4383550400","doi":"10.31234/osf.io/6eqxh","title":"Steps towards a minimal unifying model of consciousness: An integration of models of consciousness based on the free energy principle","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Consciousness; Cognitive science; Schema (genetic algorithms); Computer science; Extant taxon; Psychology; Cognitive psychology; Machine learning; Neuroscience","score_opus":0.11433968100731874,"score_gpt":0.2988271494304491,"score_spread":0.18448746842313035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383550400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77008873,0.000005043036,0.22384806,0.0006735234,0.0005493089,0.0006574511,0.0008263667,0.00011936572,0.0032321443],"genre_scores_gemma":[0.99767905,0.000031176634,0.0011810202,0.00031513014,0.000025176723,0.00006547733,0.00005108267,0.00005124483,0.000600642],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99691975,0.00035096033,0.0008898971,0.0007560084,0.00082690344,0.000256465],"domain_scores_gemma":[0.9966189,0.0007165532,0.0008448351,0.001364806,0.00038331223,0.00007156736],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006768273,0.0003575447,0.00062717474,0.0003650612,0.00008678314,0.00004297651,0.0010583698,0.00028647739,0.00002403942],"category_scores_gemma":[0.0006774893,0.0002482777,0.00024824226,0.0003750629,0.00042234937,0.00015265464,0.0006657527,0.00039489078,6.559914e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002016227,0.000199406,0.000017186108,0.00017772918,0.00001096828,0.0000017461691,0.00020678932,0.59208584,0.25717625,0.14927082,0.000047106325,0.0006045577],"study_design_scores_gemma":[0.0002928128,0.00019321912,0.00003132928,0.00019501944,0.00002752675,7.0093347e-7,0.0001395798,0.74717426,0.21398498,0.037787054,0.0000024071005,0.00017112054],"about_ca_topic_score_codex":0.0012115295,"about_ca_topic_score_gemma":0.0008262453,"teacher_disagreement_score":0.22759031,"about_ca_system_score_codex":0.00006447763,"about_ca_system_score_gemma":0.00054978696,"threshold_uncertainty_score":0.99999696},"labels":[],"label_agreement":null},{"id":"W4383598111","doi":"10.1016/j.xpro.2023.102370","title":"Studying naturalistic human communication using dual-EEG and audio-visual recordings","year":2023,"lang":"en","type":"article","venue":"STAR Protocols","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"H2020 European Research Council; European Research Council; Max Planck Instituut voor Psycholinguïstiek; Max-Planck-Gesellschaft; CANDU Owners Group","keywords":"Computer science; Protocol (science); Data collection; Electroencephalography; Dual (grammatical number); Process (computing); Human–computer interaction; Psychology; Neuroscience","score_opus":0.1323344896187762,"score_gpt":0.39639979415319476,"score_spread":0.26406530453441857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383598111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97377855,0.0000022974166,0.000028991155,0.00020966085,0.00007027592,0.025419055,0.000008852202,0.00020652064,0.00027579043],"genre_scores_gemma":[0.9892316,0.0000039347624,0.00018145239,0.00020000704,0.000040029754,0.009858495,0.000009679218,0.000024600678,0.000450204],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988351,0.000177005,0.00021316856,0.00032489336,0.00021431388,0.00023553018],"domain_scores_gemma":[0.9993723,0.00017514118,0.000122054356,0.00024127029,0.000037285095,0.0000519211],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037305593,0.0001230227,0.00013672876,0.00011598761,0.0006540268,0.00017136407,0.00013728936,0.000048323094,0.000018560415],"category_scores_gemma":[0.00030661572,0.00011383273,0.00003068035,0.00044107472,0.00009228974,0.0002491854,0.00022611479,0.00021043663,0.000021163203],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002906773,0.000032761556,0.0007870707,0.00006886098,0.0000032838907,0.000013568905,0.00021678153,0.00002997277,0.9937871,0.0024494603,0.00028641557,0.0022956603],"study_design_scores_gemma":[0.009747413,0.0040363353,0.18124405,0.002766208,0.00013434443,0.00032025398,0.0021390268,0.44254786,0.2384186,0.077059,0.037744872,0.003842069],"about_ca_topic_score_codex":0.00005821271,"about_ca_topic_score_gemma":0.000014053298,"teacher_disagreement_score":0.75536853,"about_ca_system_score_codex":0.000053143456,"about_ca_system_score_gemma":0.000016168582,"threshold_uncertainty_score":0.50303113},"labels":[],"label_agreement":null},{"id":"W4383814983","doi":"10.1016/j.cub.2023.05.049","title":"Active sensing: How to eliminate self-generated noise","year":2023,"lang":"en","type":"letter","venue":"Current Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Biology; Spike (software development); Noise (video); Biological system; Active noise control; Artificial intelligence; Computer science; Noise reduction","score_opus":0.0722437249584079,"score_gpt":0.3015972464382156,"score_spread":0.2293535214798077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383814983","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.052961886,0.00004873593,0.00034952795,0.9148863,0.028859671,0.00094932667,0.0007504061,0.0008969705,0.0002971702],"genre_scores_gemma":[0.039233245,0.00067795994,0.0001278396,0.9315867,0.014773138,0.00010701744,0.0028047995,0.0002934523,0.010395871],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99748534,0.00037927149,0.0002092518,0.0011123166,0.00016357377,0.00065022486],"domain_scores_gemma":[0.99887294,0.00036761735,0.0001843689,0.00038778808,0.000097081196,0.00009019481],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000085200074,0.00039666632,0.00039284228,0.00034631902,0.0001566673,0.0000802525,0.00033422626,0.0005514953,0.00001617397],"category_scores_gemma":[0.00046557814,0.00033482426,0.00013670394,0.00056536245,0.00009372535,0.0000500042,0.00024056877,0.0013804707,0.0007461471],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019970956,0.00001878371,0.000004409259,0.00004599671,0.000011860679,0.00012712114,0.000040063,0.0000043507666,0.19361533,0.000059450864,0.78222895,0.02382369],"study_design_scores_gemma":[0.00014640123,0.00019837142,0.000042991316,0.00003452408,0.000029561003,0.000026676998,0.0000026795303,0.0014939853,0.021789238,0.00027915093,0.9755479,0.00040848635],"about_ca_topic_score_codex":0.000006592936,"about_ca_topic_score_gemma":0.0000045978604,"teacher_disagreement_score":0.19331896,"about_ca_system_score_codex":0.000092541355,"about_ca_system_score_gemma":0.000059512833,"threshold_uncertainty_score":0.99991035},"labels":[],"label_agreement":null},{"id":"W4383907243","doi":"10.1038/s41598-023-38292-6","title":"Intra- and inter-brain synchrony oscillations underlying social adjustment","year":2023,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; International Laboratory for Brain, Music and Sound Research; Montreal Neurological Institute and Hospital","funders":"Ministerio de Ciencia e Innovación; Generalitat de Catalunya; European Regional Development Fund; Institució Catalana de Recerca i Estudis Avançats; Ministerio de Ciencia, Innovación y Universidades","keywords":"Computer science; Neuroscience; Data science; Biology","score_opus":0.06035259249796195,"score_gpt":0.3029943788677451,"score_spread":0.24264178636978315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383907243","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9830225,0.0000108160475,0.00042201852,0.0036974826,0.010404743,0.0002644622,0.0000051088796,0.0002548254,0.0019180506],"genre_scores_gemma":[0.99238795,0.000004175671,0.000022221768,0.00026082215,0.00008390442,0.00001582073,0.000018473884,0.000012317231,0.0071943006],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99831396,0.000059481335,0.00027667714,0.00071065314,0.00035438949,0.00028480715],"domain_scores_gemma":[0.99937457,0.000121023375,0.00013437596,0.0002578871,0.000034606666,0.00007751726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006536585,0.000104211074,0.00010457987,0.00022088243,0.0008416828,0.00034259103,0.00007323376,0.000043155054,0.00006372607],"category_scores_gemma":[0.00046324774,0.00009437096,0.000051579227,0.00088774506,0.00026886884,0.00021487678,0.00012920612,0.000098935976,0.00005888356],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004221146,0.000031843156,0.000508416,0.000024623727,0.000004278236,0.0002494069,0.00059200946,0.00011867989,0.9042084,0.003678122,0.061393037,0.029186925],"study_design_scores_gemma":[0.0011418328,0.00039078933,0.085327715,0.00019819858,0.00008929082,0.0021712715,0.0019882233,0.10984647,0.104633935,0.31498817,0.37720445,0.002019674],"about_ca_topic_score_codex":0.000007722905,"about_ca_topic_score_gemma":0.000018152092,"teacher_disagreement_score":0.7995745,"about_ca_system_score_codex":0.000055721262,"about_ca_system_score_gemma":0.000050164756,"threshold_uncertainty_score":0.6473628},"labels":[],"label_agreement":null},{"id":"W4384023405","doi":"10.1016/j.plrev.2023.07.006","title":"Beyond simple laboratory studies: Developing sophisticated models to study rich behavior","year":2023,"lang":"en","type":"review","venue":"Physics of Life Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":88,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Office of Naval Research Global; European Research Council; Natural Sciences and Engineering Research Council of Canada; Horizon 2020 Framework Programme; Ministero dell'Università e della Ricerca","keywords":"Toolbox; Computer science; Cognitive science; Cognitive neuroscience; Cognition; Computational neuroscience; Variety (cybernetics); Artificial intelligence; Ethology; Data science; Analytics; Social neuroscience; Computational model; Management science; Psychology; Social cognition; Neuroscience","score_opus":0.4463773372879974,"score_gpt":0.44635676439984084,"score_spread":0.00002057288815654479,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384023405","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00021901437,0.9925448,0.00031011525,0.000030089925,0.00064298284,0.005806332,0.00027745287,0.00012288734,0.000046368696],"genre_scores_gemma":[0.00009909026,0.9970565,0.00024496083,0.00037766394,0.000286768,0.0016989607,0.000037847734,0.00013388095,0.000064333326],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9954073,0.0007852672,0.0018295815,0.0010409021,0.0005225449,0.00041439512],"domain_scores_gemma":[0.9966965,0.0007906348,0.0011839422,0.00091040245,0.00024214429,0.0001763915],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00084917975,0.00066701055,0.0037346766,0.00019318564,0.00019436266,0.000047678375,0.0007572086,0.00010581478,0.0000045278825],"category_scores_gemma":[0.0015129246,0.0005138238,0.00044780385,0.0028916893,0.000067977235,0.00018895866,0.0005389044,0.0003869158,0.00040606395],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000053874014,0.0006224941,0.0000045631386,0.034477238,0.00019161664,0.00003021179,0.0003680761,0.000019645986,0.000090909205,0.006833595,0.0023362017,0.95502007],"study_design_scores_gemma":[0.00028920817,0.00036710242,0.000002964182,0.011110837,0.0027104805,0.0000029630437,0.00009498726,0.000104373525,0.000038049566,0.007338044,0.97644377,0.0014972216],"about_ca_topic_score_codex":0.000004458859,"about_ca_topic_score_gemma":0.0000037554807,"teacher_disagreement_score":0.97410756,"about_ca_system_score_codex":0.00017085293,"about_ca_system_score_gemma":0.0003312408,"threshold_uncertainty_score":0.99973136},"labels":[],"label_agreement":null},{"id":"W4384263503","doi":"10.48550/arxiv.2307.05731","title":"Social human collective decision-making and its applications with brain network models","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Agencia Estatal de Investigación; Basque Center for Applied Mathematics; Ministerio de Ciencia, Innovación y Universidades","keywords":"Computer science; Inference; Context (archaeology); Probabilistic logic; Bayesian inference; Process (computing); Influence diagram; Group decision-making; Bayesian probability; Artificial intelligence; Management science; Machine learning; Psychology; Engineering; Decision tree","score_opus":0.1337977592583712,"score_gpt":0.24049181717807064,"score_spread":0.10669405791969944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384263503","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8257089,0.00001290139,0.16782296,0.00024830308,0.0002052508,0.0011579025,0.00007346156,0.00034051598,0.00442979],"genre_scores_gemma":[0.9960762,0.00003444502,0.00006424192,0.00021357692,0.00015940632,0.000010219171,0.0000098710225,0.000040250532,0.0033917925],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99825555,0.00010922551,0.00013961123,0.0010880426,0.00010772842,0.00029982653],"domain_scores_gemma":[0.99864936,0.0007086909,0.00020476221,0.00027258837,0.000087639244,0.000076951095],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001359138,0.00024217497,0.00024560269,0.00017641409,0.0009887554,0.0001042767,0.00036348714,0.00019693079,0.000009006229],"category_scores_gemma":[0.0000600388,0.0002576187,0.00008395256,0.000912713,0.00012373501,0.00017304094,0.00071874086,0.0004753615,0.000018050752],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001169122,0.00004029573,0.00011905697,0.000035032583,0.000026504707,0.000100946294,0.00013146551,0.6703662,0.00056468346,0.32741556,0.0007426182,0.0003406586],"study_design_scores_gemma":[0.00027263272,0.00005313967,0.00050910906,0.000088222725,0.000046838417,0.000004414816,0.00003612671,0.45154455,0.000032091102,0.54701716,0.00009977848,0.00029595871],"about_ca_topic_score_codex":0.000013642807,"about_ca_topic_score_gemma":0.00011908888,"teacher_disagreement_score":0.21960157,"about_ca_system_score_codex":0.00018495753,"about_ca_system_score_gemma":0.00010728728,"threshold_uncertainty_score":0.9999876},"labels":[],"label_agreement":null},{"id":"W4384342623","doi":"10.1007/s10548-023-00988-3","title":"Normative Intercorrelations Between EEG Microstate Characteristics","year":2023,"lang":"en","type":"article","venue":"Brain Topography","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Leibniz-Gemeinschaft; Leibniz-Institut für Arbeitsforschung an der TU Dortmund","keywords":"Ministate; Electroencephalography; Normative; Psychology; Default mode network; Cognitive psychology; Neuroscience; Functional magnetic resonance imaging","score_opus":0.029158938546969285,"score_gpt":0.2698039992745792,"score_spread":0.24064506072760994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384342623","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99115485,0.0000034875618,0.0011934923,0.0036849412,0.0007649563,0.0002428111,0.0003231053,0.00041388778,0.0022184856],"genre_scores_gemma":[0.9965549,0.000038429767,0.000058595222,0.0017385737,0.00009667642,0.000021181235,0.00012788032,0.00002240488,0.0013413348],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988307,0.00010797922,0.00025941193,0.0003165474,0.00017980131,0.00030559965],"domain_scores_gemma":[0.99888855,0.0006679941,0.000109821514,0.00021403049,0.000032331045,0.00008726755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017298362,0.00014441783,0.00015146185,0.00042011685,0.00026261166,0.00009723614,0.00019474383,0.00005911597,0.000047105656],"category_scores_gemma":[0.00036278964,0.00013613721,0.0001383182,0.001540154,0.00012604705,0.00022354345,0.00009443598,0.00020693068,0.0005657002],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007083139,0.00013754713,0.11323294,0.00008772944,0.00005986696,0.000110655725,0.0033345625,0.00005357888,0.69616187,0.019703371,0.06078421,0.10626284],"study_design_scores_gemma":[0.0005907238,0.00022219108,0.8767775,0.00005524091,0.000027560298,0.000016580501,0.00019190417,0.004178785,0.012955242,0.0128586395,0.09154233,0.0005832461],"about_ca_topic_score_codex":0.000008049663,"about_ca_topic_score_gemma":0.0000032650737,"teacher_disagreement_score":0.7635446,"about_ca_system_score_codex":0.000013961716,"about_ca_system_score_gemma":0.000012003126,"threshold_uncertainty_score":0.72711205},"labels":[],"label_agreement":null},{"id":"W4384342896","doi":"10.1038/s41467-023-39825-3","title":"Trait anxiety is associated with hidden state inference during aversive reversal learning","year":2023,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Medical Research Council; Max-Planck-Gesellschaft; Bundesministerium für Bildung und Forschung; National Institute for Health and Care Research; Australian Government; MQ: Transforming Mental Health; Wellcome Trust; European Commission; McMaster University","keywords":"Anxiety; Psychology; Inference; Contingency; Context (archaeology); Trait; Expectancy theory; Cognitive psychology; Trait anxiety; Population; Developmental psychology; Social psychology; Computer science; Artificial intelligence; Medicine; Psychiatry","score_opus":0.027265087921799692,"score_gpt":0.2812315979338138,"score_spread":0.2539665100120141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384342896","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923716,0.000031821408,0.000018426214,0.0040163365,0.00010833634,0.00019792709,0.00008868475,0.00037474063,0.0027921232],"genre_scores_gemma":[0.9952374,0.00052905147,0.000092832386,0.0005826649,0.000011045915,0.000017172553,0.00008128514,0.000018912064,0.0034296312],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998944,0.00019970862,0.0001289831,0.0002579581,0.00024155057,0.0002278171],"domain_scores_gemma":[0.998482,0.000612261,0.00012686994,0.0006236232,0.00009954688,0.000055711324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013951652,0.00011446083,0.00011006248,0.00011289755,0.00072035624,0.000068576286,0.0006484926,0.00012435892,0.000024884179],"category_scores_gemma":[0.0011314836,0.00010355492,0.000047269736,0.0011165467,0.000116786454,0.00021996594,0.0003065446,0.0012999744,0.0000582213],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019991066,0.00037984038,0.060183026,0.0000564371,0.00015968477,0.00007349404,0.010042615,0.0025066019,0.8922603,0.013901663,0.010560784,0.009675625],"study_design_scores_gemma":[0.0034236566,0.000458891,0.7697583,0.00041930904,0.00014347926,0.000072671195,0.0013526869,0.098820746,0.06174772,0.003678463,0.05846098,0.0016631085],"about_ca_topic_score_codex":0.000015719359,"about_ca_topic_score_gemma":0.00018426254,"teacher_disagreement_score":0.8305126,"about_ca_system_score_codex":0.00007969813,"about_ca_system_score_gemma":0.000044792232,"threshold_uncertainty_score":0.5647814},"labels":[],"label_agreement":null},{"id":"W4384564245","doi":"10.1016/j.neuron.2023.06.012","title":"Routing states transition during oscillatory bursts and attentional selection","year":2023,"lang":"en","type":"article","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Mental Health; Canadian Institutes of Health Research; Canadian Food Inspection Agency","keywords":"Striatum; Neuroscience; Anterior cingulate cortex; Ventral striatum; Psychology; Routing (electronic design automation); Prefrontal cortex; Biology; Cognition; Computer science; Computer network; Dopamine","score_opus":0.018410040641197625,"score_gpt":0.23430822099292417,"score_spread":0.21589818035172653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384564245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99841285,0.0000024366004,0.000085379535,0.0006502428,0.00036209935,0.00009576159,0.000007392683,0.00025696176,0.00012689056],"genre_scores_gemma":[0.99908155,0.000050646944,0.0000042086494,0.0002685645,0.00008952476,0.0000059233844,0.000008489868,0.0000148151275,0.00047626148],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99916565,0.000057929203,0.00010691227,0.00031024538,0.00017516679,0.00018406514],"domain_scores_gemma":[0.99978817,0.000070018665,0.000036015394,0.000051500647,0.000013571648,0.000040738556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007575942,0.0000804017,0.000059899845,0.00010278264,0.00027820808,0.000052571682,0.0000338278,0.000029683475,0.00001395474],"category_scores_gemma":[0.000051567356,0.0000815843,0.000026917709,0.00030845532,0.000030272404,0.00018799622,0.000021736705,0.000109069355,0.00003958954],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021558693,0.0000075336934,0.0013749663,0.000018684357,8.292522e-7,0.00001150049,0.000090495574,0.0014641227,0.9958288,0.00036382268,0.0000767303,0.00074093015],"study_design_scores_gemma":[0.00078600197,0.0002208471,0.57932335,0.0000364252,0.000013614514,0.00016837295,0.00007730688,0.27519327,0.14159286,0.0015572429,0.0007217662,0.00030893047],"about_ca_topic_score_codex":0.000007660991,"about_ca_topic_score_gemma":0.0000043866225,"teacher_disagreement_score":0.85423595,"about_ca_system_score_codex":0.000021694377,"about_ca_system_score_gemma":0.000006189042,"threshold_uncertainty_score":0.3326911},"labels":[],"label_agreement":null},{"id":"W4384565113","doi":"10.1016/j.isci.2023.107387","title":"Auditory white noise exposure results in intrinsic cortical excitability changes","year":2023,"lang":"en","type":"article","venue":"iScience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Ministero della Salute; Fonds Wetenschappelijk Onderzoek","keywords":"Magnetoencephalography; Neuroscience; Auditory cortex; Stimulus (psychology); Cortical neurons; White noise; White matter; Psychology; Audiology; Electroencephalography; Medicine; Cognitive psychology; Magnetic resonance imaging; Computer science","score_opus":0.03851592038812856,"score_gpt":0.27022450888287236,"score_spread":0.2317085884947438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384565113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99213153,0.000008326509,0.00002502846,0.004111699,0.0017227189,0.00018219257,0.000022016578,0.00016253724,0.0016339237],"genre_scores_gemma":[0.998168,0.00003753272,0.000019008241,0.00051025394,0.00014771534,0.000020822368,0.0000019806266,0.000006891079,0.001087817],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99817955,0.0001387575,0.00021346069,0.0006481488,0.00041460487,0.0004054439],"domain_scores_gemma":[0.9990891,0.00039269766,0.000058232297,0.00033544184,0.000027196362,0.000097316806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007311469,0.00010727786,0.00011672722,0.000178329,0.00017485967,0.00006296711,0.00032324306,0.000052830896,0.000019399273],"category_scores_gemma":[0.0024729853,0.000091159105,0.000029312003,0.0016990643,0.00031916838,0.00023193902,0.00017332504,0.00022468528,0.00022923046],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011824407,0.00010436825,0.00910036,0.000021835423,4.1075018e-7,0.0001403178,0.0007979116,0.0003952769,0.9587103,0.001069718,0.0016149158,0.0279263],"study_design_scores_gemma":[0.00044194845,0.00023174584,0.9716213,0.000024536077,0.0000015772765,0.0000117533455,0.00010479138,0.012547863,0.009831683,0.0009917362,0.003980182,0.00021091863],"about_ca_topic_score_codex":0.000013769517,"about_ca_topic_score_gemma":0.00018062217,"teacher_disagreement_score":0.9625209,"about_ca_system_score_codex":0.000057744484,"about_ca_system_score_gemma":0.00004499362,"threshold_uncertainty_score":0.37173605},"labels":[],"label_agreement":null},{"id":"W4384651987","doi":"10.1101/2023.07.18.549575","title":"Nonlinear manifolds underlie neural population activity during behaviour","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"National Institute of Neurological Disorders and Stroke; Engineering and Physical Sciences Research Council; National Institutes of Health","keywords":"Nonlinear system; Neuroscience; Population; Artificial neural network; Manifold (fluid mechanics); Curse of dimensionality; Computer science; Nonlinear dimensionality reduction; Psychology; Artificial intelligence; Dimensionality reduction; Biological system; Biology; Physics; Engineering; Sociology","score_opus":0.03560805254876895,"score_gpt":0.2501941386427008,"score_spread":0.21458608609393184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384651987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928922,0.000017622286,0.0001865995,0.0005461142,0.0039427793,0.0007529028,0.00032958807,0.0013281332,0.0000040513783],"genre_scores_gemma":[0.99839854,0.00007808248,0.00028629793,0.00015666883,0.0006762604,0.00011256636,0.0000010528123,0.00023623435,0.000054269058],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99618214,0.00023040711,0.00050747395,0.0016773937,0.0006700622,0.000732542],"domain_scores_gemma":[0.9977608,0.000118721306,0.0005112205,0.0012123571,0.00013686776,0.0002600715],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00031191742,0.00064528495,0.00051552046,0.00040145707,0.00045025026,0.0004302048,0.00060288026,0.00046106963,0.000028046778],"category_scores_gemma":[0.00037270083,0.0007140212,0.00025136585,0.00067883224,0.00007930692,0.0003766632,0.0008265465,0.0011829189,0.00015994936],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005082665,0.00014404539,0.022111764,0.00021303567,0.00001572469,0.00018566073,0.0000022543586,0.00063800364,0.9763964,0.00020841109,0.00003139788,0.0000025058746],"study_design_scores_gemma":[0.00037461866,0.00004336647,0.5871429,0.000117784664,0.00006040246,7.905872e-8,6.0549655e-7,0.02076153,0.3907247,0.000006756692,0.000054809858,0.0007124707],"about_ca_topic_score_codex":0.00037675333,"about_ca_topic_score_gemma":0.000026495774,"teacher_disagreement_score":0.58567166,"about_ca_system_score_codex":0.00042769915,"about_ca_system_score_gemma":0.00013962177,"threshold_uncertainty_score":0.9995311},"labels":[],"label_agreement":null},{"id":"W4384829332","doi":"10.3390/e25071086","title":"Probing Intrinsic Neural Timescales in EEG with an Information-Theory Inspired Approach: Permutation Entropy Time Delay Estimation (PE-TD)","year":2023,"lang":"en","type":"article","venue":"Entropy","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Ottawa","funders":"Università degli Studi di Padova; National Natural Science Foundation of China; Shanghai Center for Brain Science and Brain-Inspired Technology","keywords":"Permutation (music); Entropy estimation; Entropy (arrow of time); Electroencephalography; Statistical physics; Information theory; Artificial intelligence; Computer science; Artificial neural network; Transfer entropy; Mathematics; Algorithm; Pattern recognition (psychology); Principle of maximum entropy; Physics; Statistics; Psychology; Neuroscience; Quantum mechanics; Estimator","score_opus":0.013848795048466004,"score_gpt":0.22789166158033222,"score_spread":0.21404286653186622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384829332","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99016696,0.0000032700502,0.007795395,0.00029025305,0.00016215126,0.00065889955,0.000016299247,0.0003916911,0.000515105],"genre_scores_gemma":[0.9979668,0.0000064534615,0.0009100523,0.00036730702,0.00004750909,0.00008381849,0.00034399095,0.000025940722,0.0002481046],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99830323,0.00024723558,0.0003604571,0.00035054598,0.00037751655,0.00036098764],"domain_scores_gemma":[0.99930024,0.00015539974,0.00017945097,0.00022911165,0.00004606326,0.00008971731],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030022056,0.0002058712,0.00017935649,0.00041245128,0.0002007565,0.0001995019,0.00018424045,0.0000732764,0.000040528947],"category_scores_gemma":[0.00025459492,0.00017316255,0.000042201296,0.00094593724,0.000088467255,0.0018989035,0.000051819527,0.0002176558,0.00041370848],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019423193,0.0005137165,0.0021412398,0.0001849032,0.00002653956,0.000117831834,0.0076930467,0.37223262,0.35934836,0.12097302,0.0005344843,0.13429192],"study_design_scores_gemma":[0.0009518921,0.00029873924,0.0075482614,0.000022574046,0.00001207321,0.00004132557,0.00013861459,0.9844618,0.0036507256,0.002477933,0.00015511744,0.00024094369],"about_ca_topic_score_codex":0.000013098027,"about_ca_topic_score_gemma":0.000003391376,"teacher_disagreement_score":0.61222917,"about_ca_system_score_codex":0.000109897155,"about_ca_system_score_gemma":0.000045364068,"threshold_uncertainty_score":0.7061364},"labels":[],"label_agreement":null},{"id":"W4385066267","doi":"10.7554/elife.87820","title":"Behavioral entrainment to rhythmic auditory stimulation can be modulated by tACS depending on the electrical stimulation field properties","year":2023,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"H. Lundbeck A/S; Max-Planck-Gesellschaft; Lundbeckfonden","keywords":"Entrainment (biomusicology); Stimulation; Rhythm; Neuroscience; Transcranial alternating current stimulation; Psychology; Communication; Physics; Acoustics","score_opus":0.060756687329766884,"score_gpt":0.2856232494150667,"score_spread":0.22486656208529984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385066267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99432784,0.0000025176973,0.00028283722,0.0039096037,0.00066428207,0.00055965304,0.000015892998,0.00017670091,0.000060689945],"genre_scores_gemma":[0.99554676,0.0000073051947,0.000007370495,0.0035956865,0.00017380709,0.00004007997,0.000022425906,0.000019339985,0.00058719824],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985701,0.00010721485,0.0001874334,0.00032835678,0.0005228031,0.00028411025],"domain_scores_gemma":[0.99942374,0.0002385869,0.000056714507,0.00017940784,0.00002660605,0.0000749708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016397193,0.0001308021,0.00009317183,0.000100908204,0.00030562122,0.00007842396,0.00010156305,0.000063847794,0.000043316486],"category_scores_gemma":[0.00039350794,0.0000940858,0.000040930954,0.0004441943,0.000017407867,0.00008243489,0.000046931258,0.00017977446,0.000078371944],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007035065,0.000048873797,0.00025946242,0.0000024887513,0.0000021183303,0.000009531449,0.00021706868,0.024884738,0.9596085,0.00018778913,0.011681628,0.0030274687],"study_design_scores_gemma":[0.00029366778,0.0006572226,0.008374246,0.000023831934,0.000012078241,0.0000045941983,0.0000346946,0.4766535,0.51076585,0.00006581354,0.0028796594,0.00023485473],"about_ca_topic_score_codex":0.000045476492,"about_ca_topic_score_gemma":0.000011738611,"teacher_disagreement_score":0.45176876,"about_ca_system_score_codex":0.00013627856,"about_ca_system_score_gemma":0.00002277142,"threshold_uncertainty_score":0.38367078},"labels":[],"label_agreement":null},{"id":"W4385069307","doi":"10.7554/elife.87820.1","title":"Behavioral entrainment to rhythmic auditory stimulation can be modulated by tACS depending on the electrical stimulation field properties","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Entrainment (biomusicology); Stimulation; Rhythm; Neuroscience; Field (mathematics); Psychology; Communication; Physics; Acoustics; Mathematics","score_opus":0.09450596403687817,"score_gpt":0.2988122064073574,"score_spread":0.20430624237047923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385069307","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98648727,0.0000032830496,0.0027404625,0.0062934556,0.0021381893,0.0018056097,0.000060637634,0.00034167108,0.0001294314],"genre_scores_gemma":[0.9943134,0.000013533035,0.00003354215,0.0028683401,0.00026214644,0.00014732398,0.00008973045,0.000053746513,0.0022182176],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99732816,0.00021776304,0.00040566924,0.000872018,0.00075790234,0.0004184909],"domain_scores_gemma":[0.9987801,0.00043332516,0.00016620934,0.00045559197,0.000052090985,0.000112713955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023551547,0.0003455481,0.00023544836,0.00019090033,0.00034291696,0.00023921208,0.00030596435,0.00026828283,0.000104758066],"category_scores_gemma":[0.0004738831,0.00024305012,0.00011423582,0.00030359224,0.000030231107,0.00007519662,0.00032016495,0.00072112004,0.0000514023],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015770653,0.00014326294,0.00015392213,0.000020325366,0.0000104515175,0.000015081428,0.00026416738,0.178932,0.8049974,0.00046555602,0.010966844,0.0038733],"study_design_scores_gemma":[0.0002760426,0.0007031594,0.0023728183,0.00010299162,0.00004362523,0.000004486707,0.000032435564,0.7547982,0.23979855,0.0007215723,0.0005965023,0.000549654],"about_ca_topic_score_codex":0.00037696137,"about_ca_topic_score_gemma":0.00007496881,"teacher_disagreement_score":0.57586616,"about_ca_system_score_codex":0.0004331718,"about_ca_system_score_gemma":0.00006892444,"threshold_uncertainty_score":0.99112964},"labels":[],"label_agreement":null},{"id":"W4385073648","doi":"10.1002/cjs.11790","title":"Oscillating neural circuits: Phase, amplitude, and the complex normal distribution","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute on Drug Abuse; National Institute of Mental Health; National Institutes of Health","keywords":"Coherence (philosophical gambling strategy); Canonical correlation; Multivariate statistics; Mathematics; Frequency domain; Latent variable; Series (stratigraphy); Multivariate normal distribution; Statistical physics; Amplitude; Correlation; Statistics; Mathematical analysis; Physics","score_opus":0.05514196822133931,"score_gpt":0.27121251053415224,"score_spread":0.21607054231281292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385073648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9294713,0.000051407384,0.059860576,0.0038112304,0.00176887,0.00024945653,0.0041528028,0.000025509236,0.00060884934],"genre_scores_gemma":[0.9991362,0.000026837437,0.00008507536,0.0005091338,0.00011406364,7.501945e-7,0.000038154707,0.000008099677,0.000081671285],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912804,0.000089171044,0.00027085052,0.00009585862,0.0001708227,0.00024527978],"domain_scores_gemma":[0.99888897,0.0005198315,0.00018220581,0.00007060306,0.00009212,0.00024629937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003054109,0.00007728489,0.00012901318,0.00008353262,0.00040541758,0.00016076138,0.00012654146,0.000022184744,0.000036547757],"category_scores_gemma":[0.0012546602,0.000056079625,0.00002901881,0.00029813402,0.00027605155,0.000107402724,0.000013613585,0.0001889458,0.0000060248726],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023892266,0.000045946348,0.0087887,0.00012948936,0.00005751162,0.0023889127,0.002002195,0.004486228,0.045713585,0.5130372,0.097514115,0.3255972],"study_design_scores_gemma":[0.01044355,0.0008961921,0.13621853,0.000098746554,0.00014869259,0.0027237358,0.0008084112,0.743275,0.0005579067,0.042151883,0.061963763,0.0007136152],"about_ca_topic_score_codex":0.00041829378,"about_ca_topic_score_gemma":0.0012706799,"teacher_disagreement_score":0.7387887,"about_ca_system_score_codex":0.000053316387,"about_ca_system_score_gemma":0.00015248236,"threshold_uncertainty_score":0.31181854},"labels":[],"label_agreement":null},{"id":"W4385173010","doi":"10.1002/advs.202301756","title":"Electrophysiological In Vitro Study of Long‐Range Signal Transmission by Astrocytic Networks","year":2023,"lang":"en","type":"article","venue":"Advanced Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Defence Medical Centre","funders":"Stoneygate Trust; European Research Council; Engineering and Physical Sciences Research Council; Medical Research Council; University of Cambridge; Evelyn Trust; Horizon 2020 Framework Programme; KDDI Foundation; Wellcome Trust; Cambridge Trust; Rosetrees Trust; European Commission; Multiple Sclerosis Society; National Institute for Health and Care Research; Yoshida Scholarship Foundation","keywords":"Neuroscience; Gap junction; Electrophysiology; Stimulation; Astrocyte; Premovement neuronal activity; SIGNAL (programming language); Biological neural network; Connectome; Nerve net; Local field potential; Biology; Computer science; Central nervous system; Intracellular; Functional connectivity; Cell biology","score_opus":0.01783849295298284,"score_gpt":0.26957814526001267,"score_spread":0.2517396523070298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385173010","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954507,0.000013461233,0.0039586313,0.00004219994,0.000108443746,0.00030830328,0.0000022204622,0.00006460664,0.000051465184],"genre_scores_gemma":[0.99969673,0.000034897457,0.00006146546,0.00009390219,0.000011144102,0.000021090365,0.0000016766268,0.000006804553,0.000072295436],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982668,0.00007849253,0.00021564025,0.00055991963,0.00043253566,0.00044658786],"domain_scores_gemma":[0.99947757,0.00018100788,0.00007043705,0.00016507591,0.000026067359,0.000079859004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002528154,0.000112064576,0.00016352178,0.00014954021,0.00017484892,0.000021973015,0.00039329007,0.000028688288,0.000008873729],"category_scores_gemma":[0.000100913094,0.00008769603,0.000030552146,0.0025819808,0.00023869502,0.0003044383,0.00006639091,0.00019275516,0.0000070895976],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018611262,0.00014917758,0.0001254424,0.0000025819295,2.391812e-7,0.000019674113,0.000041975403,0.020358518,0.95242465,0.00001558607,0.000005612464,0.026670463],"study_design_scores_gemma":[0.00085105625,0.0017195977,0.01362341,0.000013787578,0.0000026184855,0.0000046055984,0.000081608705,0.36034477,0.62286854,0.00030047973,0.000022606248,0.00016692388],"about_ca_topic_score_codex":0.000007573424,"about_ca_topic_score_gemma":0.0000024252672,"teacher_disagreement_score":0.33998623,"about_ca_system_score_codex":0.000050236573,"about_ca_system_score_gemma":0.000029782157,"threshold_uncertainty_score":0.35761404},"labels":[],"label_agreement":null},{"id":"W4385245199","doi":"10.1109/iscas46773.2023.10182039","title":"HUXIN: In-Memory Crossbar Core for Integration of Biologically Inspired Stochastic Neuron Models","year":2023,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of Toronto","funders":"","keywords":"Memristor; Solver; Crossbar switch; Quantization (signal processing); Computer science; Nonlinear system; Computation; Dynamical systems theory; Stability (learning theory); Algorithm; Electronic engineering; Physics","score_opus":0.13259139405081125,"score_gpt":0.31015025663867984,"score_spread":0.1775588625878686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385245199","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9709498,0.0000019540757,0.027179735,0.00031532554,0.00032218447,0.00046231682,0.000028586737,0.00011813371,0.00062191],"genre_scores_gemma":[0.99841124,0.0000087317185,0.00011380877,0.00048695772,0.000018344637,0.000049921204,0.000018622803,0.000010592314,0.0008817948],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912155,0.000028460752,0.00024308405,0.00030635466,0.00011446852,0.00018609136],"domain_scores_gemma":[0.9993766,0.0003475254,0.000071174894,0.00013530036,0.000039559472,0.000029841109],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014503549,0.00009560789,0.00013726653,0.00013685375,0.000058858677,0.00001940908,0.0001357502,0.000061648694,0.000011681883],"category_scores_gemma":[0.00047759304,0.00007126334,0.000056903526,0.00044988602,0.000073405805,0.00014325905,0.000048985203,0.000080477424,0.000012280015],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009915779,0.00003884965,0.000015030147,0.000011053273,5.1014797e-7,0.0000023414245,0.00005234703,0.033373427,0.9425137,0.016699784,0.00014286132,0.0070509566],"study_design_scores_gemma":[0.00043627908,0.0003998056,0.002006912,0.000016416188,0.0000021915018,0.0000028669026,0.00003668319,0.93998915,0.032133702,0.024864875,0.000013396321,0.0000977213],"about_ca_topic_score_codex":0.000019202836,"about_ca_topic_score_gemma":0.000033725915,"teacher_disagreement_score":0.91038,"about_ca_system_score_codex":0.000016788656,"about_ca_system_score_gemma":0.000018408879,"threshold_uncertainty_score":0.2906035},"labels":[],"label_agreement":null},{"id":"W4385327595","doi":"10.1063/5.0165773","title":"Diversity-induced trivialization and resilience of neural dynamics","year":2024,"lang":"en","type":"article","venue":"Chaos An Interdisciplinary Journal of Nonlinear Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Ontario Brain Institute; University of Ottawa; University Health Network","funders":"Krembil Foundation; Natural Sciences and Engineering Research Council of Canada; Institut national de recherche en informatique et en automatique (INRIA)","keywords":"Resilience (materials science); Nonlinear system; Robustness (evolution); Computer science; Artificial neural network; Dynamical systems theory; Statistical physics; Mechanism (biology); System dynamics; Control theory (sociology); Artificial intelligence; Physics; Control (management); Biology","score_opus":0.03256953556189414,"score_gpt":0.32839937007777786,"score_spread":0.29582983451588374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385327595","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948007,0.000042117867,0.002781166,0.0006822303,0.0014242309,0.00008434397,0.000012585257,0.000019349589,0.0001532749],"genre_scores_gemma":[0.9993731,0.000040364444,0.0003171748,0.000053680487,0.00014511622,3.3209434e-7,7.1084844e-7,0.00000908408,0.00006043897],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99841094,0.0000667244,0.00039847204,0.00034473438,0.00057562516,0.00020348163],"domain_scores_gemma":[0.9991224,0.00013094918,0.00023153913,0.00017126996,0.00018542696,0.00015841241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007309366,0.00012130898,0.00018748065,0.000491452,0.0007943143,0.000137108,0.00060601305,0.000040234474,0.00001085553],"category_scores_gemma":[0.00022193513,0.00009380694,0.000077431025,0.00096745964,0.00061019376,0.0016855374,0.0013967033,0.00024969236,0.0000017520381],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019816,0.00017050457,0.0013444654,0.000089079294,0.0000053406416,0.0002188059,0.0039961217,0.00082322257,0.95180464,0.0045523895,0.000021005742,0.036776286],"study_design_scores_gemma":[0.00020316117,0.0014667107,0.0039705057,0.00017339007,0.000018316896,0.00077259005,0.00059149193,0.9513679,0.039070096,0.0022111074,0.0000141305845,0.00014060453],"about_ca_topic_score_codex":0.0000040984764,"about_ca_topic_score_gemma":0.0000101734795,"teacher_disagreement_score":0.95054466,"about_ca_system_score_codex":0.000087948,"about_ca_system_score_gemma":0.00012562689,"threshold_uncertainty_score":0.6109304},"labels":[],"label_agreement":null},{"id":"W4385331364","doi":"10.1093/brain/awad255","title":"Predictive coding and stochastic resonance as fundamental principles of auditory phantom perception","year":2023,"lang":"en","type":"review","venue":"Brain","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Center for Advancing Translational Sciences; European Research Council; Economic and Social Research Council; Deutsche Forschungsgemeinschaft; European Commission; Wellcome Trust; California Department of Fish and Game","keywords":"Predictive coding; Perception; Imaging phantom; Auditory perception; Coding (social sciences); Psychology; Speech perception; Cognitive psychology; Audiology; Speech recognition; Cognitive science; Computer science; Neuroscience; Medicine; Mathematics; Statistics; Radiology","score_opus":0.10861176228515845,"score_gpt":0.3474855620523763,"score_spread":0.23887379976721784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385331364","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0065146564,0.9815676,0.0010189429,0.00019611206,0.0041743387,0.0035270057,0.0012643683,0.00044734377,0.0012895908],"genre_scores_gemma":[0.001946417,0.99301994,0.000016138567,0.0000822634,0.00037019982,0.00008974417,0.00002968705,0.000059712755,0.0043858835],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983118,0.00020651334,0.00038761707,0.0005687849,0.0003113944,0.00021388568],"domain_scores_gemma":[0.99844265,0.00094417523,0.00034259068,0.00018717772,0.00001859373,0.000064812775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026259667,0.00024887844,0.00058944034,0.00018406367,0.00013030542,0.000039274775,0.00017014175,0.00014450139,0.000025358639],"category_scores_gemma":[0.0009327768,0.0002149519,0.0001464758,0.00030078064,0.00018508501,0.00011218367,0.0001693966,0.00025547307,0.00006814271],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006306999,0.000095843796,0.0000030024182,0.011339101,0.00003752678,0.000048153444,0.0003341699,0.000035154368,0.008324869,0.0039863084,0.0014531107,0.9742797],"study_design_scores_gemma":[0.0004553131,0.00062860124,0.0004087406,0.018862356,0.00023524088,0.00016423101,0.000120860175,0.0068027596,0.000031959175,0.00035580268,0.9712668,0.000667335],"about_ca_topic_score_codex":0.000009496247,"about_ca_topic_score_gemma":0.000004476439,"teacher_disagreement_score":0.97361237,"about_ca_system_score_codex":0.00012198039,"about_ca_system_score_gemma":0.00009951222,"threshold_uncertainty_score":0.8765484},"labels":[],"label_agreement":null},{"id":"W4385332506","doi":"10.1101/2023.07.28.550946","title":"The hippocampal theta oscillation may be generated by chimera dynamics","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Cumming School of Medicine, University of Calgary","keywords":"Hippocampal formation; Oscillation (cell signaling); Neuroscience; Physics; Chimera (genetics); Interneuron; Theta rhythm; Population; Topology (electrical circuits); Biology; Inhibitory postsynaptic potential; Mathematics","score_opus":0.02831304043438307,"score_gpt":0.23577079455832708,"score_spread":0.20745775412394402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385332506","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9830295,0.0001839587,0.0010578865,0.005504301,0.006718948,0.0011162872,0.0012241877,0.0011272661,0.000037708676],"genre_scores_gemma":[0.99715775,0.0007944583,0.00011372535,0.0007886004,0.00045300214,0.00016535517,0.00000411325,0.0002144064,0.00030855698],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99604297,0.0004015696,0.00062196347,0.0014440138,0.0007293072,0.0007601585],"domain_scores_gemma":[0.9971742,0.00037522198,0.00054443965,0.0014349495,0.0002476287,0.00022358127],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007741915,0.000630428,0.00041537132,0.00018261414,0.0009185793,0.00084732176,0.00094206486,0.00050001807,0.000018915369],"category_scores_gemma":[0.000760652,0.0005174433,0.00019899629,0.00092668575,0.0002534616,0.0001792623,0.0006573156,0.0010825847,0.00015050225],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037300473,0.000057292633,0.00081663014,0.000054521366,0.000040223702,0.000023356424,0.0000041748676,0.0006260444,0.9900386,0.0045139696,0.003777863,0.000010062846],"study_design_scores_gemma":[0.0009910744,0.00018873441,0.026061574,0.00023078326,0.00019242374,1.2416866e-7,0.000007072893,0.36351573,0.5669288,0.00014495965,0.039184052,0.0025546425],"about_ca_topic_score_codex":0.0000768605,"about_ca_topic_score_gemma":0.00002047188,"teacher_disagreement_score":0.42310974,"about_ca_system_score_codex":0.00040577917,"about_ca_system_score_gemma":0.0003004981,"threshold_uncertainty_score":0.9997277},"labels":[],"label_agreement":null},{"id":"W4385355073","doi":"10.1016/b978-0-443-15548-2.00005-3","title":"Auditory cortical event-related potentials in the human brain","year":2023,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Novelty; Mismatch negativity; Neuroscience; Psychology; Magnetoencephalography; Auditory cortex; Deviance (statistics); Auditory event; Audiology; Electroencephalography; Cognition; Medicine; Computer science","score_opus":0.030252380545500807,"score_gpt":0.27179297194972013,"score_spread":0.24154059140421932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385355073","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0040623504,0.000023006583,0.0000018283924,0.0009816764,0.0024487027,0.00083659904,0.00003896775,0.00015216494,0.9914547],"genre_scores_gemma":[0.058168933,0.000020862813,0.0000014632511,0.0021553084,0.00042248488,0.00003976422,0.00002345449,0.00009202251,0.9390757],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974661,0.0002562172,0.0006231268,0.00067274604,0.0006098259,0.00037201628],"domain_scores_gemma":[0.99850744,0.00060077,0.0002470642,0.00054563466,0.000026071899,0.000073012096],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006878372,0.0003553881,0.00037656704,0.00020651065,0.00029473923,0.00009596004,0.0005313861,0.00035204997,0.00019298204],"category_scores_gemma":[0.00024682868,0.0002644494,0.00027157276,0.00004945492,0.00025314596,0.000044140193,0.0001553094,0.0011855281,0.0007891996],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028937002,0.000058669262,0.0000061411415,0.000095861775,0.00004439161,0.0012803415,0.00045968,0.000021384381,0.13978201,0.2940791,0.005822029,0.5583215],"study_design_scores_gemma":[0.0006402936,0.00022100052,0.00086215936,0.00040621217,0.00009048298,0.00009485536,0.00001649006,0.00024131892,0.0002919765,0.16647445,0.829883,0.00077779044],"about_ca_topic_score_codex":0.0000010010045,"about_ca_topic_score_gemma":0.000042200143,"teacher_disagreement_score":0.8240609,"about_ca_system_score_codex":0.00006837463,"about_ca_system_score_gemma":0.000054126496,"threshold_uncertainty_score":0.9999888},"labels":[],"label_agreement":null},{"id":"W4385355183","doi":"10.1016/b978-0-443-15548-2.00004-1","title":"Animal studies of deviance detection along the auditory pathway","year":2023,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Neuroscience; Auditory cortex; Inferior colliculus; Sensory system; Psychology; Superior colliculus; Stimulus (psychology); Biology; Cognitive psychology","score_opus":0.05322644348943772,"score_gpt":0.26583083723356576,"score_spread":0.21260439374412804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385355183","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008524208,0.00065609097,0.000007155463,0.00019926,0.0062644626,0.00092902035,0.00007689603,0.00023908471,0.9831038],"genre_scores_gemma":[0.119255334,0.00035582893,0.000005044143,0.00027961814,0.00064793427,0.00004248966,0.0000015054255,0.000075839496,0.8793364],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983604,0.000068199086,0.00042341728,0.00050554227,0.00041722343,0.00022519524],"domain_scores_gemma":[0.99851656,0.0004970157,0.00042139643,0.00042623238,0.00009930124,0.000039507624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028381118,0.0003037358,0.0003794569,0.00010753381,0.0002752737,0.000026859143,0.0002922473,0.00016304497,0.000013348836],"category_scores_gemma":[0.00025456122,0.00021186819,0.00022106663,0.000037578775,0.000383378,0.000050020528,0.00019110447,0.00046238807,0.00014241866],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003210693,0.0000037936845,0.0000012301289,0.00013419654,0.000036166966,0.000032108794,0.00013518233,0.00000352242,0.0871992,0.00514425,0.000113062684,0.90716517],"study_design_scores_gemma":[0.00024134059,0.00045019836,0.00017937044,0.0006717687,0.00011507104,0.000045902238,0.000049905688,0.00019059489,0.049637765,0.01892685,0.9288947,0.00059653743],"about_ca_topic_score_codex":5.259416e-7,"about_ca_topic_score_gemma":0.00008669976,"teacher_disagreement_score":0.9287816,"about_ca_system_score_codex":0.00006355748,"about_ca_system_score_gemma":0.000057848443,"threshold_uncertainty_score":0.8639734},"labels":[],"label_agreement":null},{"id":"W4385355216","doi":"10.1016/b978-0-443-15548-2.00010-7","title":"Brain networks involved in deviance and novelty detection: Are they sensory modality specific?","year":2023,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Mismatch negativity; Inferior frontal gyrus; Psychology; Auditory cortex; Predictive coding; Sensory system; Cognition; Cognitive psychology; Neuroscience; Coding (social sciences); Electroencephalography","score_opus":0.04882692561010196,"score_gpt":0.2435616616599003,"score_spread":0.19473473604979835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385355216","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0174223,0.00047012637,0.00015286417,0.0012224616,0.00359179,0.0018969085,0.0001840518,0.0005093989,0.9745501],"genre_scores_gemma":[0.1462532,0.00053767476,0.00001968534,0.001717852,0.0005527009,0.000040552888,0.000008697364,0.00013774847,0.8507319],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99751693,0.00011788577,0.0005160136,0.001082513,0.00035390558,0.0004127544],"domain_scores_gemma":[0.9984701,0.00045403547,0.00034729356,0.0005492128,0.000048805963,0.00013053897],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003997422,0.00048204404,0.0005376461,0.00019923455,0.0002001185,0.00011362546,0.00023500946,0.0004331036,0.000020357975],"category_scores_gemma":[0.00012210508,0.00046726206,0.00015352973,0.00005426814,0.00020435729,0.00008477693,0.00021457975,0.0010272645,0.000068823865],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009560028,0.000012929359,0.00007206887,0.000110811736,0.000013046757,0.00024392124,0.00008661945,0.00015730348,0.0081005925,0.0071311113,0.00006517252,0.9839108],"study_design_scores_gemma":[0.0016722699,0.0002451239,0.00448302,0.0016045002,0.000057420297,0.00013926304,0.00004562196,0.01505342,0.0023925272,0.11312819,0.85866416,0.0025144862],"about_ca_topic_score_codex":0.000002688161,"about_ca_topic_score_gemma":0.0012379676,"teacher_disagreement_score":0.9813963,"about_ca_system_score_codex":0.00014006121,"about_ca_system_score_gemma":0.000030070058,"threshold_uncertainty_score":0.9997779},"labels":[],"label_agreement":null},{"id":"W4385374906","doi":"10.1101/2023.07.28.551047","title":"Intrinsic neural timescales attenuate information transfer along the uni-transmodal hierarchy","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; European Commission","keywords":"Hierarchy; Transfer (computing); Information transfer; Computer science; Sensory system; Associative property; Neuroscience; Psychology; Mathematics; Political science; Pure mathematics","score_opus":0.023494535415516743,"score_gpt":0.21785620044254084,"score_spread":0.1943616650270241,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385374906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9867685,0.000057938552,0.002388137,0.004806472,0.003381263,0.0012008689,0.0004598498,0.0009234461,0.000013536948],"genre_scores_gemma":[0.997369,0.00023525863,0.000074877054,0.0015720626,0.00040905408,0.00020486668,0.0000016754315,0.000114618124,0.00001861063],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9966361,0.0003413741,0.00073602115,0.0008722894,0.0007080936,0.00070614426],"domain_scores_gemma":[0.9978989,0.00030751474,0.00020995931,0.0011296992,0.00024773253,0.00020622517],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00060294446,0.00060343585,0.00044006095,0.00037613255,0.00048983673,0.0006230065,0.0009875578,0.00040118003,0.000031195694],"category_scores_gemma":[0.00035628935,0.00048770834,0.00026854916,0.000971828,0.00030195396,0.00072974956,0.00037306405,0.0014509101,0.0003437852],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015715357,0.00009914985,0.0016796129,0.00052598596,0.00007540325,0.00010622867,0.00007803553,0.002690056,0.98665965,0.006987884,0.00082372787,0.00011710399],"study_design_scores_gemma":[0.001959012,0.00029118205,0.32355306,0.00061358226,0.00033166562,4.521473e-7,0.000013198442,0.06590047,0.5880763,0.0001298911,0.016238786,0.002892444],"about_ca_topic_score_codex":0.00011679117,"about_ca_topic_score_gemma":0.000013565809,"teacher_disagreement_score":0.39858338,"about_ca_system_score_codex":0.00016131932,"about_ca_system_score_gemma":0.0002541594,"threshold_uncertainty_score":0.99975747},"labels":[],"label_agreement":null},{"id":"W4385406163","doi":"10.1007/s10548-023-00987-4","title":"EEG Microstates in Social and Affective Neuroscience","year":2023,"lang":"en","type":"review","venue":"Brain Topography","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"European Research Council","keywords":"Electroencephalography; Social neuroscience; Psychology; Facial expression; Perception; Cognitive psychology; Cognition; Field (mathematics); Cognitive neuroscience; Gaze; Social cognition; Neuroscience; Communication","score_opus":0.07933775237298221,"score_gpt":0.35126902418571654,"score_spread":0.27193127181273435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385406163","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022322703,0.9919515,0.000016723901,0.0006414248,0.0015597296,0.0020616169,0.00031291752,0.00036858598,0.0008551914],"genre_scores_gemma":[0.00024071937,0.9981961,0.0000075491666,0.00078953465,0.00009770664,0.00011535213,0.000012929723,0.00006457431,0.00047548104],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974223,0.00041957182,0.0003852016,0.0010419872,0.0002511897,0.00047979073],"domain_scores_gemma":[0.9983778,0.0011121386,0.0002225077,0.00019438377,0.000012985057,0.00008019854],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003409836,0.00039296804,0.00081705203,0.0009563837,0.00029339158,0.00018904822,0.0003405767,0.00020287016,0.000004050481],"category_scores_gemma":[0.0005777292,0.00033707416,0.00036401016,0.0030766216,0.000402074,0.00015718483,0.00021915289,0.00050330395,0.00002421308],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000085439115,0.00007195968,0.000044514472,0.0038468828,0.0000070528677,0.00016043689,0.00016539414,6.4109645e-7,0.0017336211,0.00393693,0.002228853,0.9877952],"study_design_scores_gemma":[0.00022084049,0.00011864715,0.000947917,0.001329081,0.00004556196,0.00006351915,0.000020490486,0.000052570977,0.000017929626,0.002854741,0.99375135,0.0005773488],"about_ca_topic_score_codex":0.000033218326,"about_ca_topic_score_gemma":0.000038939426,"teacher_disagreement_score":0.9915225,"about_ca_system_score_codex":0.00003309511,"about_ca_system_score_gemma":0.00005571774,"threshold_uncertainty_score":0.99990815},"labels":[],"label_agreement":null},{"id":"W4385417249","doi":"10.1038/s42003-023-05168-4","title":"Comparative analysis of multifaceted neural effects associated with varying endogenous cognitive load","year":2023,"lang":"en","type":"article","venue":"Communications Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Research Grants Council, University Grants Committee","keywords":"Cognition; Computer science; Dynamics (music); Variation (astronomy); Task (project management); Cognitive neuroscience; Psychology; Cognitive psychology; Artificial intelligence; Neuroscience; Cognitive science; Engineering","score_opus":0.13862923135379157,"score_gpt":0.3455551888574448,"score_spread":0.20692595750365322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385417249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965179,0.00005566202,0.00015823756,0.00018764543,0.000058884652,0.00031880676,0.00013974514,0.0001355374,0.0024275624],"genre_scores_gemma":[0.999155,0.00007957103,0.00004734427,0.00016730386,0.0000031386046,0.00005947413,0.00042926357,0.0000064519745,0.00005248218],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985413,0.0007340731,0.00020042218,0.00024084044,0.00008758726,0.00019577834],"domain_scores_gemma":[0.99447304,0.004577573,0.00020723972,0.00053783105,0.0001697095,0.00003461653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016147287,0.00011068821,0.00033832772,0.00030794082,0.00027721314,0.000011543189,0.00042693404,0.00006303297,0.000008385711],"category_scores_gemma":[0.0010028802,0.00009006293,0.00008099672,0.0028436058,0.00043966243,0.00005329154,0.00022813107,0.00017623551,0.000021619344],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007970852,0.00023596044,0.010815871,0.000006375474,0.0005537014,0.000005269303,0.0013873037,0.001157185,0.9817383,0.0012361342,0.0000135041155,0.0027706742],"study_design_scores_gemma":[0.001255648,0.00061301456,0.06907494,0.000041017127,0.00085646776,0.000006512649,0.00023473619,0.84718776,0.08012491,0.0002642427,0.000060301,0.00028043202],"about_ca_topic_score_codex":0.00005553598,"about_ca_topic_score_gemma":0.00013704598,"teacher_disagreement_score":0.9016134,"about_ca_system_score_codex":0.000043241216,"about_ca_system_score_gemma":0.000033024106,"threshold_uncertainty_score":0.36726597},"labels":[],"label_agreement":null},{"id":"W4385450708","doi":"10.1101/2023.07.31.551212","title":"Spatiotemporal resonance in mouse primary visual cortex","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Isaac Newton Trust; European Commission; Leverhulme Trust","keywords":"Visual cortex; Primary (astronomy); Neuroscience; Cortex (anatomy); Psychology; Physics","score_opus":0.026942518532703796,"score_gpt":0.24401448187644156,"score_spread":0.21707196334373777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385450708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949675,0.000117662654,0.00021960103,0.00036436797,0.002388872,0.0008328079,0.00031393513,0.0007805255,0.000014734585],"genre_scores_gemma":[0.9975192,0.0003885576,0.00037481444,0.0008359712,0.00035122636,0.00018984734,8.466388e-7,0.00019745872,0.00014208336],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9960337,0.0002488314,0.0006932132,0.0016850145,0.0006407108,0.0006985297],"domain_scores_gemma":[0.99804825,0.00019119788,0.00042894634,0.0009996679,0.00013138197,0.00020054335],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005588075,0.0005601653,0.0005864449,0.00048279457,0.00015555626,0.00025337035,0.0006600258,0.00050614926,0.00001934966],"category_scores_gemma":[0.000646352,0.0006221148,0.0001523168,0.00094952487,0.00015594067,0.00025409533,0.0007992982,0.001210738,0.00023901717],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006077753,0.00015881378,0.008332113,0.0002068578,0.000006417248,0.00026222845,0.0000040580853,0.00010850289,0.99000764,0.00052401726,0.0003218137,0.0000067758738],"study_design_scores_gemma":[0.0006947298,0.00010765299,0.526631,0.0003572055,0.000018115046,2.6357387e-8,9.727312e-7,0.00943134,0.45888376,0.0000156023,0.0027707997,0.0010887936],"about_ca_topic_score_codex":0.00014503514,"about_ca_topic_score_gemma":0.000020367133,"teacher_disagreement_score":0.5311239,"about_ca_system_score_codex":0.0004558924,"about_ca_system_score_gemma":0.0004682822,"threshold_uncertainty_score":0.999623},"labels":[],"label_agreement":null},{"id":"W4385466498","doi":"10.1007/978-3-031-20910-9_24","title":"How Can I Disentangle Physiological and Pathological High-Frequency Oscillations?","year":2023,"lang":"en","type":"book-chapter","venue":"Studies in neuroscience, psychology and behavioral economics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Ictal; Neuroscience; Neurocognitive; Electroencephalography; Neurophysiology; Cognition; Epilepsy; Psychology; Pathological; Medicine; Pathology","score_opus":0.2112914867634695,"score_gpt":0.36466024767101973,"score_spread":0.15336876090755022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385466498","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9855823,0.00021419264,0.0000025614104,0.0034121089,0.0045256177,0.0005013445,0.0003027445,0.00012465981,0.0053344592],"genre_scores_gemma":[0.94270796,0.02336617,0.00005191578,0.002796083,0.00016550874,0.00005494399,0.000016678863,0.000048852417,0.030791888],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973539,0.00007664798,0.0004045184,0.0016032693,0.00010707583,0.000454548],"domain_scores_gemma":[0.99909866,0.00017576695,0.00024649096,0.00033503573,0.0000259142,0.00011815787],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0001779472,0.0004391287,0.0006313286,0.0002732485,0.00042260208,0.00010640036,0.00029047354,0.00036615503,0.0000069792277],"category_scores_gemma":[0.00017194352,0.0003681857,0.0000855761,0.00012480156,0.0031985203,0.00018651035,0.00044969766,0.00062926754,0.000007188742],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018618992,0.0004873094,0.011835648,0.00010632635,0.000018216391,0.0019125572,0.0004301915,0.00004446988,0.09005497,0.86139435,0.0016347219,0.031895045],"study_design_scores_gemma":[0.0026628664,0.0045089284,0.16569509,0.00016870825,0.00018321307,0.0010791918,0.0002851129,0.0003481068,0.00018536628,0.80750906,0.0143567985,0.003017564],"about_ca_topic_score_codex":0.000004569918,"about_ca_topic_score_gemma":0.000083777115,"teacher_disagreement_score":0.15385944,"about_ca_system_score_codex":0.000057170073,"about_ca_system_score_gemma":0.000020207954,"threshold_uncertainty_score":0.99987704},"labels":[],"label_agreement":null},{"id":"W4385481140","doi":"10.1371/journal.pcbi.1011280","title":"Hybrid predictive coding: Inferring, fast and slow","year":2023,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"European Research Council; Biotechnology and Biological Sciences Research Council; Engineering and Physical Sciences Research Council; Canadian Institute for Advanced Research; Directorate for Biological Sciences; Medical Research Council; National Institutes of Natural Sciences; Dr Mortimer and Theresa Sackler Foundation; University of Sussex","keywords":"Inference; Computer science; Artificial intelligence; Machine learning; Coding (social sciences); Artificial neural network; Bayesian inference; Algorithm; Pattern recognition (psychology); Bayesian probability; Mathematics","score_opus":0.03957638592692329,"score_gpt":0.26671931037139585,"score_spread":0.22714292444447257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385481140","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913602,0.0000043396312,0.0061951033,0.00081146753,0.00027299582,0.00012230434,0.000090720954,0.00019152304,0.00095136836],"genre_scores_gemma":[0.9988568,0.000015628722,0.00009983326,0.00068208773,0.00006779209,0.000013280868,0.00008203383,0.0000073440374,0.00017521891],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999313,0.000061193685,0.00010971712,0.000282041,0.00008445238,0.00014960986],"domain_scores_gemma":[0.9993204,0.0005143104,0.00004357616,0.000047747544,0.000030742427,0.000043250722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000051707855,0.000075668206,0.000088613706,0.000107326974,0.00012850783,0.000021194546,0.00006733472,0.000028408349,0.000016042075],"category_scores_gemma":[0.0002467323,0.000067689245,0.000019697087,0.00014167967,0.000114391194,0.000060078815,0.00008929445,0.0000853923,0.00010073266],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014314597,0.0001700467,0.025678808,0.000052829135,0.00005000714,0.000076274395,0.00029663218,0.033498447,0.65860826,0.26257628,0.0034720758,0.015377212],"study_design_scores_gemma":[0.00031114923,0.00024000583,0.032266118,0.000008743197,0.0000057292623,0.000041464664,0.000009403595,0.88543355,0.007411044,0.073491715,0.0006557542,0.00012531178],"about_ca_topic_score_codex":0.0000021349028,"about_ca_topic_score_gemma":3.7877572e-7,"teacher_disagreement_score":0.8519351,"about_ca_system_score_codex":0.000013460832,"about_ca_system_score_gemma":0.00001644411,"threshold_uncertainty_score":0.27602875},"labels":[],"label_agreement":null},{"id":"W4385485070","doi":"10.1109/icasspw59220.2023.10193527","title":"Dynamic Source Localization and Functional Connectivity Estimation With State-Space Models: Preliminary Feasibility Analysis","year":2023,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary","funders":"Engineering and Physical Sciences Research Council","keywords":"Computer science; Estimation; State space; State (computer science); Space (punctuation); Algorithm; Mathematics; Statistics; Engineering","score_opus":0.034384167397320545,"score_gpt":0.25715818091973436,"score_spread":0.22277401352241383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385485070","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48537487,0.0000018128073,0.5138721,0.00022983893,0.000034697037,0.00015613557,0.000008015867,0.0001883599,0.0001341557],"genre_scores_gemma":[0.9977268,0.000012234081,0.0004959536,0.00017771785,0.000004889941,0.00001334742,0.00006500522,0.000014650577,0.0014893847],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998638,0.00010016332,0.00016142058,0.0005603035,0.00033464702,0.00020552003],"domain_scores_gemma":[0.9991698,0.00039264184,0.000087126034,0.00020551257,0.000067699075,0.000077181794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003373711,0.00013952509,0.00015209483,0.0003120508,0.0002595835,0.00007825457,0.000046773952,0.000048720736,0.000023172828],"category_scores_gemma":[0.00016838539,0.000111704234,0.000045035682,0.0019032252,0.00010988269,0.00047264269,0.00005951128,0.00009874935,0.000012803387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031685835,0.000052264986,0.0040415535,0.000020996005,0.000021580408,0.0000042482734,0.0001070795,0.9851559,0.0059490334,0.0012153704,0.0000520449,0.0030630887],"study_design_scores_gemma":[0.0002576465,0.00018002925,0.052232265,0.0000042589268,0.00006992775,0.0000083628565,0.00007349162,0.9411762,0.0013100987,0.0045415075,0.000009626329,0.00013659506],"about_ca_topic_score_codex":0.000071626375,"about_ca_topic_score_gemma":0.00027641616,"teacher_disagreement_score":0.5133762,"about_ca_system_score_codex":0.00007444296,"about_ca_system_score_gemma":0.00002467205,"threshold_uncertainty_score":0.45551667},"labels":[],"label_agreement":null},{"id":"W4385604105","doi":"10.1101/2023.08.01.551579","title":"Cell-type specific population codes link inferior temporal cortex to object recognition behavior","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Simons Foundation Autism Research Initiative; Simons Foundation","keywords":"Macaque; Neuroscience; Population; Inhibitory postsynaptic potential; Cognitive neuroscience of visual object recognition; Object (grammar); Categorization; Excitatory postsynaptic potential; Psychology; Pattern recognition (psychology); Biology; Artificial intelligence; Computer science","score_opus":0.05014460421577101,"score_gpt":0.2555267492174311,"score_spread":0.20538214500166013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385604105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891842,0.00004600799,0.00037504866,0.00026309091,0.0067352015,0.001711707,0.00059999083,0.0010751865,0.000009568556],"genre_scores_gemma":[0.9964852,0.00022900828,0.0013683819,0.00039813892,0.000897123,0.0003274593,0.000010162455,0.00023240472,0.0000521771],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9960077,0.00023995111,0.00075659604,0.0017184742,0.0006376055,0.00063971407],"domain_scores_gemma":[0.99752116,0.00015114284,0.00051426835,0.0010876319,0.0003859822,0.00033983623],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00047288448,0.0006386315,0.0005733411,0.00059977314,0.00033370225,0.0005230901,0.0005166097,0.0005653131,0.0000815041],"category_scores_gemma":[0.0004996486,0.00071119895,0.00018965473,0.0012849487,0.00007076745,0.00026136072,0.00050648843,0.000913774,0.0010287431],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007330896,0.00012160673,0.01283608,0.00013633555,0.000008171533,0.000112359055,0.0000059828453,0.00007919477,0.9859711,0.000064287044,0.0005649055,0.000026648268],"study_design_scores_gemma":[0.0004101607,0.00026043077,0.63258564,0.0003192961,0.00009861748,7.471118e-8,0.0000022474676,0.00087573536,0.36189714,0.000019801517,0.0022930044,0.001237806],"about_ca_topic_score_codex":0.00019556165,"about_ca_topic_score_gemma":0.000014500809,"teacher_disagreement_score":0.624074,"about_ca_system_score_codex":0.00035949895,"about_ca_system_score_gemma":0.00021589514,"threshold_uncertainty_score":0.99974906},"labels":[],"label_agreement":null},{"id":"W4385611896","doi":"10.1101/2023.08.03.551852","title":"Decision-related activity and movement selection in primate visual cortex","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research","keywords":"Receptive field; Saccade; Neuroscience; Psychology; Perception; Sensory system; Population; Visual cortex; Cognitive psychology; Communication; Eye movement; Medicine","score_opus":0.01948803192437312,"score_gpt":0.25868182227162106,"score_spread":0.23919379034724794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385611896","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960785,0.000029423785,0.0006624051,0.00017236946,0.0017152983,0.0007936508,0.000062846135,0.000481095,0.0000044467943],"genre_scores_gemma":[0.9988946,0.0003358637,0.00022071476,0.00021983313,0.00008394814,0.00012305194,1.259335e-7,0.00010279166,0.000019104102],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9970078,0.0001788535,0.00048273502,0.001376506,0.00045990228,0.00049423083],"domain_scores_gemma":[0.99874854,0.00026886913,0.0003451712,0.00036796211,0.00010281715,0.00016663909],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005686178,0.00043424053,0.00042684333,0.00048699137,0.00018848015,0.00026499692,0.00024677903,0.00042373885,0.000019607298],"category_scores_gemma":[0.0006053048,0.0004595754,0.000083253726,0.0009834883,0.00009026197,0.00022432099,0.0005948534,0.000908216,0.00006305377],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006524271,0.00014015759,0.004584937,0.00009242744,0.000013564532,0.00005308034,0.0000034748987,0.00030692123,0.9943161,0.00035606048,0.000035334506,0.000032710595],"study_design_scores_gemma":[0.00041834658,0.0000920696,0.54893327,0.00022923469,0.000022923337,2.7537904e-8,5.8033027e-7,0.050302405,0.39935675,0.00006417546,0.00008278246,0.0004974553],"about_ca_topic_score_codex":0.00012667665,"about_ca_topic_score_gemma":0.000027360806,"teacher_disagreement_score":0.5949593,"about_ca_system_score_codex":0.00036572153,"about_ca_system_score_gemma":0.00019905326,"threshold_uncertainty_score":0.9997856},"labels":[],"label_agreement":null},{"id":"W4385718863","doi":"10.51628/001c.85131","title":"Deep Direct Discriminative Decoders for High-dimensional Time-series Data Analysis","year":2023,"lang":"en","type":"article","venue":"Neurons Behavior Data analysis and Theory","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Brain Institute; Toronto Rehabilitation Institute; University of Toronto; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Computer science; Discriminative model; Series (stratigraphy); Recurrent neural network; Time series; Scalability; Dimension (graph theory); State space; Artificial intelligence; Heteroscedasticity; Algorithm; Artificial neural network; Machine learning; Mathematics","score_opus":0.06010322405401847,"score_gpt":0.31513662880854904,"score_spread":0.25503340475453057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385718863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9513449,0.000052500698,0.02460722,0.0007692104,0.0004078384,0.00068800175,0.021604775,0.0003252889,0.00020024725],"genre_scores_gemma":[0.97896594,0.0001307664,0.0005193514,0.00027271165,0.000050689738,0.00006299011,0.01794577,0.000038070702,0.0020136912],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99683243,0.0003855278,0.00035762964,0.0016684479,0.000373675,0.00038227518],"domain_scores_gemma":[0.9960601,0.0011959141,0.00017355832,0.002383881,0.000049669918,0.00013690318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086186023,0.00027181613,0.0005401975,0.0008993298,0.0005458122,0.00019945133,0.0011214286,0.00006687295,0.00023870448],"category_scores_gemma":[0.00082778576,0.00022532573,0.00020166836,0.003300558,0.0002796604,0.0008532232,0.0013753664,0.00014800862,0.000034254776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025300577,0.0030345027,0.04903873,0.00016628393,0.012656955,0.0010755988,0.00082326774,0.014727636,0.5343832,0.07578043,0.017021725,0.28876165],"study_design_scores_gemma":[0.0006878156,0.00025885928,0.108849,0.0000072892553,0.04379057,0.0000145933445,0.0001734102,0.83523214,0.0050877277,0.0037538498,0.001285362,0.0008593714],"about_ca_topic_score_codex":0.00006461779,"about_ca_topic_score_gemma":0.00046784666,"teacher_disagreement_score":0.8205045,"about_ca_system_score_codex":0.000015022683,"about_ca_system_score_gemma":0.00002424341,"threshold_uncertainty_score":0.9188517},"labels":[],"label_agreement":null},{"id":"W4385719582","doi":"10.7554/elife.89131.1.sa3","title":"eLife Assessment: When and why does motor preparation arise in recurrent neural network models of motor control?","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Engineering and Physical Sciences Research Council","keywords":"Initialization; Movement (music); Computer science; Artificial neural network; Motor control; Variety (cybernetics); Control (management); Movement control; Motor cortex; State (computer science); Neuroscience; Motor system; Recurrent neural network; Control theory (sociology); Artificial intelligence; Psychology; Physical medicine and rehabilitation; Physics; Medicine; Algorithm","score_opus":0.05004011453313592,"score_gpt":0.32394594882384464,"score_spread":0.2739058342907087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385719582","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15715216,0.069457516,0.0392891,0.4237372,0.15826552,0.08004406,0.022107461,0.0039155115,0.04603148],"genre_scores_gemma":[0.21344899,0.174867,0.0021766226,0.05701132,0.004421289,0.0033083598,0.0022413007,0.00062075973,0.54190433],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99675524,0.00039984196,0.00087971694,0.00089369644,0.00067500706,0.0003965194],"domain_scores_gemma":[0.99823004,0.00056707213,0.00053376827,0.00042897274,0.00012924161,0.00011091685],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006202562,0.00039612415,0.0008447788,0.000187581,0.00008439692,0.000097755015,0.0002924489,0.00021571793,0.00007964275],"category_scores_gemma":[0.00032774472,0.0002801013,0.00017908332,0.00031057352,0.00007757599,0.00033334392,0.00016631538,0.0004997693,0.0000047595545],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043736832,0.00029088478,0.00015583377,0.004198381,0.000048568254,0.000051738214,0.00006459389,0.0168107,0.0056324042,0.0045840624,0.9537934,0.013932074],"study_design_scores_gemma":[0.0007182284,0.00044854652,0.00021011523,0.0014873637,0.00010283552,0.00000800451,0.0000035082192,0.8882989,0.00003412026,0.0048718094,0.10339364,0.0004229244],"about_ca_topic_score_codex":0.00027401722,"about_ca_topic_score_gemma":0.0005440511,"teacher_disagreement_score":0.8714882,"about_ca_system_score_codex":0.00008473746,"about_ca_system_score_gemma":0.00009150108,"threshold_uncertainty_score":0.99996513},"labels":[],"label_agreement":null},{"id":"W4385728260","doi":"10.1093/cercor/bhad297","title":"Increased noise relates to abnormal excitation-inhibition balance in schizophrenia: a combined empirical and computational study","year":2023,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Paul Scherrer Institut; Canadian Institutes of Health Research; European Commission","keywords":"Electroencephalography; Noise (video); Excitation; Neuroscience; Balance (ability); Population; Brain activity and meditation; Psychology; Chemistry; Physics; Computer science; Artificial intelligence; Medicine","score_opus":0.02579703144001832,"score_gpt":0.27970484464255435,"score_spread":0.253907813202536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385728260","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978333,0.0000019220079,0.000087722714,0.001031426,0.00016780908,0.0005686414,0.000022634833,0.00015437107,0.00013219],"genre_scores_gemma":[0.99870557,0.0000019125812,0.00008983649,0.0009313403,0.000037343616,0.000050892028,0.000050000217,0.000015945137,0.000117169904],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99859995,0.00014635561,0.00027193534,0.0004646372,0.0002814214,0.0002356877],"domain_scores_gemma":[0.99931675,0.00035215836,0.00005816775,0.00011592876,0.000038214774,0.000118784956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018893491,0.00013906117,0.00016532582,0.0002639566,0.00016386191,0.000081125785,0.00007771446,0.000048001308,0.000025468771],"category_scores_gemma":[0.0003389395,0.00013499497,0.000028998162,0.0010104631,0.00004803203,0.00024148842,0.000094831616,0.00017537198,0.00014746442],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017700263,0.00087482185,0.8845598,0.000050159437,0.0000134358925,0.00039497158,0.0017540362,0.0061469316,0.0945285,0.0050974423,0.0026452213,0.0021646474],"study_design_scores_gemma":[0.0019649193,0.00040967358,0.88855267,0.000017468878,0.0000046085966,0.000009746867,0.0001005614,0.104286455,0.00015949197,0.0043376065,0.0000100095,0.00014677341],"about_ca_topic_score_codex":0.000046033852,"about_ca_topic_score_gemma":0.000060928294,"teacher_disagreement_score":0.098139524,"about_ca_system_score_codex":0.0000414382,"about_ca_system_score_gemma":0.00003346389,"threshold_uncertainty_score":0.55049354},"labels":[],"label_agreement":null},{"id":"W4385754090","doi":"10.1523/eneuro.0215-23.2023","title":"Hyperpolarization-Activated Cation Channels Shape the Spiking Frequency Preference of Human Cortical Layer 5 Pyramidal Neurons","year":2023,"lang":"en","type":"article","venue":"eNeuro","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Ontario Brain Institute; University Health Network","funders":"Krembil Foundation; University of Toronto; Savoy Foundation; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Hyperpolarization (physics); Neuroscience; Cortical neurons; Chemistry; Biophysics; Biology","score_opus":0.09756415822906539,"score_gpt":0.28995269337937146,"score_spread":0.19238853515030607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385754090","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99718255,0.0000018437051,0.00012802916,0.00076556706,0.0006731997,0.00023579915,0.000012023783,0.0001751382,0.00082587235],"genre_scores_gemma":[0.99896324,0.0000118842645,0.00000537854,0.0005429884,0.00008756128,0.0000201246,0.000017053859,0.00002491023,0.00032685464],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99868345,0.00018313168,0.00024584855,0.00035332475,0.00029566427,0.00023860521],"domain_scores_gemma":[0.999129,0.00036498596,0.00012163783,0.0002868118,0.000049643826,0.00004793382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012648528,0.00012489098,0.00011460516,0.000099759745,0.00035420098,0.00006156913,0.0002751161,0.000050613107,0.00006419483],"category_scores_gemma":[0.00084582064,0.00009539126,0.00004869562,0.0007970322,0.00011897315,0.00017775627,0.00009147484,0.00025219892,0.000045530403],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006161567,0.000031887044,0.0015004607,0.000007943261,0.0000014848562,0.0000067044034,0.000105095336,0.00044991143,0.98614556,0.011325261,0.00004051978,0.00037901913],"study_design_scores_gemma":[0.00023271466,0.00023610702,0.14577642,0.000020550307,0.00001621703,0.0000155336,0.000025923258,0.069367155,0.7802005,0.0036858274,0.00022220955,0.00020084393],"about_ca_topic_score_codex":0.000034120338,"about_ca_topic_score_gemma":0.000005492349,"teacher_disagreement_score":0.20594504,"about_ca_system_score_codex":0.00001463877,"about_ca_system_score_gemma":0.000026479222,"threshold_uncertainty_score":0.38899428},"labels":[],"label_agreement":null},{"id":"W4385814092","doi":"10.1016/j.brainresbull.2023.110733","title":"Locus coeruleus integrity predicts ease of attaining and maintaining neural states of high attentiveness","year":2023,"lang":"en","type":"article","venue":"Brain Research Bulletin","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"National Institute of Dental and Craniofacial Research; National Institute on Aging; National Institutes of Health; National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; Canadian Institute for Advanced Research; University of Southern California; National Aeronautics and Space Administration","keywords":"Locus coeruleus; Neuroscience; Psychology; Neuroimaging; Cognition; Salience (neuroscience); Norepinephrine; Brain activity and meditation; Electroencephalography; Dopamine; Central nervous system","score_opus":0.09229938139449048,"score_gpt":0.35456392005397913,"score_spread":0.2622645386594886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385814092","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9892288,0.000026613063,0.00012185593,0.009709419,0.00013815131,0.00036258466,0.00011215922,0.00007675097,0.00022368103],"genre_scores_gemma":[0.9987074,0.000090530804,0.00005512169,0.00019336444,0.00004688573,0.000029347331,0.000023016955,0.000027072092,0.0008272252],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9966619,0.0009768668,0.00037375488,0.0005309444,0.00085235335,0.0006042026],"domain_scores_gemma":[0.9948801,0.0043032,0.00013134273,0.00028525616,0.00023894779,0.00016116371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002894913,0.00014993647,0.0002847813,0.0004239932,0.00022840106,0.000059811486,0.00032544305,0.000080961014,0.00012043873],"category_scores_gemma":[0.006507682,0.00013351571,0.000060111357,0.0009763945,0.00075226114,0.00007403089,0.0005418314,0.0005955721,0.000033510536],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017359986,0.00035583848,0.017978774,0.0008997097,0.00004533716,0.0006832703,0.0016099896,0.0031281062,0.89332837,0.023283897,0.024096217,0.032854512],"study_design_scores_gemma":[0.009105554,0.0063826935,0.2666702,0.0017577003,0.000048284608,0.00017667057,0.010509618,0.25585422,0.38488963,0.037046883,0.02596851,0.0015900361],"about_ca_topic_score_codex":0.0005445985,"about_ca_topic_score_gemma":0.000014920876,"teacher_disagreement_score":0.5084387,"about_ca_system_score_codex":0.000036189467,"about_ca_system_score_gemma":0.00006825042,"threshold_uncertainty_score":0.77907735},"labels":[],"label_agreement":null},{"id":"W4385837043","doi":"10.1101/2023.08.11.553052","title":"Linking reduced prefrontal microcircuit inhibition in schizophrenia to EEG biomarkers in silico","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"IAMGOLD; Krembil Foundation; University of Toronto","keywords":"In silico; Schizophrenia (object-oriented programming); Neuroscience; Prefrontal cortex; Electroencephalography; Psychology; Computer science; Chemistry; Cognitive psychology; Psychiatry; Biochemistry; Cognition","score_opus":0.02614108047456365,"score_gpt":0.23555707114199392,"score_spread":0.20941599066743027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385837043","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948555,0.000055103876,0.00014013548,0.0005354982,0.0023421065,0.0013987846,0.00019112567,0.0004722029,0.0000095299165],"genre_scores_gemma":[0.99825084,0.00007510805,0.00047610933,0.0004637011,0.00021544656,0.00033819926,0.0000011520596,0.00017108837,0.000008330147],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9956675,0.00028122216,0.0008269484,0.0019275489,0.0004886495,0.0008080999],"domain_scores_gemma":[0.9982824,0.0001568577,0.00032639864,0.00089137733,0.00009825817,0.0002447481],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00075187447,0.0005912727,0.00056064216,0.0013298013,0.0001413322,0.00031962895,0.00045919608,0.0005837721,0.000011642393],"category_scores_gemma":[0.0007457552,0.0007023934,0.00014888312,0.001974352,0.000090263886,0.00026253998,0.0007529585,0.0011732707,0.0001874013],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012889908,0.00011576343,0.0020038718,0.00018316113,0.000011981937,0.00026782436,0.000022645394,0.00046284325,0.9965252,0.00020113074,0.000064062966,0.000012591154],"study_design_scores_gemma":[0.00094758894,0.00007224413,0.21168275,0.0013801531,0.000017155271,7.6615066e-8,0.000004084358,0.0021855996,0.7825895,0.00003249814,0.00019027352,0.0008980671],"about_ca_topic_score_codex":0.00021576624,"about_ca_topic_score_gemma":0.00012652566,"teacher_disagreement_score":0.21393572,"about_ca_system_score_codex":0.00087304815,"about_ca_system_score_gemma":0.000382583,"threshold_uncertainty_score":0.9995427},"labels":[],"label_agreement":null},{"id":"W4385924413","doi":"10.1101/2023.08.15.553425","title":"Laminar Dynamics of Target Selection in the Posterior Parietal Cortex of the Common Marmoset","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research; Canada First Research Excellence Fund","keywords":"Marmoset; Neuroscience; Posterior parietal cortex; Visual cortex; Stimulus (psychology); Electrophysiology; Saccadic masking; Biology; Eye movement; Psychology; Cognitive psychology","score_opus":0.019880920326652413,"score_gpt":0.2285649831703026,"score_spread":0.20868406284365018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385924413","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962983,0.000023478997,0.00010360736,0.0006806012,0.001366488,0.0008470608,0.0005872759,0.00008445781,0.000008718229],"genre_scores_gemma":[0.99938774,0.000049663275,0.00011719104,0.00022397164,0.00007218957,0.00007053646,7.283069e-7,0.00006494094,0.00001301664],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99742573,0.00045222804,0.00062796194,0.00062730873,0.00053188595,0.00033490817],"domain_scores_gemma":[0.99806863,0.00023311704,0.0007087514,0.0008021899,0.00014314704,0.00004417964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071118516,0.00032684745,0.00043970702,0.00018037783,0.00014021451,0.00008026362,0.00095630175,0.000293035,0.000009124793],"category_scores_gemma":[0.00039554152,0.00023705437,0.00018568932,0.0011585125,0.00023809774,0.000094212075,0.0005515071,0.00083114207,0.00000694498],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055232445,0.00014699482,0.023825707,0.00026862582,0.000014843202,0.000014815928,0.000020054516,0.00032768716,0.9734479,0.0017885506,0.00008628474,0.0000032598691],"study_design_scores_gemma":[0.00030979494,0.00014221987,0.71063,0.00026675875,0.000055443255,1.479818e-7,0.000010826127,0.030706119,0.25726387,0.00006540332,0.0001980018,0.00035144042],"about_ca_topic_score_codex":0.0001727675,"about_ca_topic_score_gemma":0.0000940251,"teacher_disagreement_score":0.7161841,"about_ca_system_score_codex":0.00016134678,"about_ca_system_score_gemma":0.0002052868,"threshold_uncertainty_score":0.9666797},"labels":[],"label_agreement":null},{"id":"W4385933087","doi":"10.1101/2023.08.16.553483","title":"Attentional selection and communication through coherence: Scope and limitations","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Coherence (philosophical gambling strategy); Mechanism (biology); Neuroscience; Cognitive psychology; Scope (computer science); Cognition; Stimulus (psychology); Psychology; Computer science; Perception; Cognitive science; Physics","score_opus":0.06628899584030944,"score_gpt":0.26338844960176017,"score_spread":0.19709945376145072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385933087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947835,0.0003557574,0.0015896914,0.0012863876,0.0007337056,0.0006487401,0.000118327065,0.00045164512,0.00003224928],"genre_scores_gemma":[0.99403816,0.0031393836,0.0021579585,0.00028930578,0.0001058517,0.00016986672,9.423846e-7,0.000061071594,0.00003747996],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9981683,0.00019992616,0.0003079547,0.0007995579,0.00027323258,0.00025106038],"domain_scores_gemma":[0.998608,0.00037934788,0.00026028464,0.00045692557,0.00019828428,0.000097152566],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002954817,0.00027278558,0.00023026357,0.0001483217,0.00047785498,0.00036061727,0.00022211207,0.00024735605,0.000009514622],"category_scores_gemma":[0.0006823762,0.00029766245,0.00004647568,0.0004557657,0.00018355392,0.00031668288,0.00045024793,0.0005587039,0.00003827796],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015900396,0.00004924155,0.0024446328,0.00015305587,0.000021185519,0.000004551633,0.000016107708,0.00012294714,0.9842055,0.012541102,0.00041602418,0.000009754599],"study_design_scores_gemma":[0.0013550716,0.00026114017,0.6673347,0.0011148788,0.00024345276,4.0684424e-7,0.000019678504,0.028218655,0.29091215,0.0012746411,0.0073527535,0.0019124594],"about_ca_topic_score_codex":0.00005211944,"about_ca_topic_score_gemma":0.000021223515,"teacher_disagreement_score":0.69329333,"about_ca_system_score_codex":0.000086342734,"about_ca_system_score_gemma":0.00013263823,"threshold_uncertainty_score":0.99994755},"labels":[],"label_agreement":null},{"id":"W4385999592","doi":"10.1007/s00422-023-00971-y","title":"A Fundamental Inequality Governing the Rate Coding Response of Sensory Neurons","year":2023,"lang":"en","type":"article","venue":"Biological Cybernetics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Inequality; Coding (social sciences); Sensory system; Neural coding; Auditory system; Adaptation (eye); Mathematics; Psychology; Neuroscience; Computer science; Cognitive science; Cognitive psychology; Mathematical analysis; Statistics","score_opus":0.138255678978477,"score_gpt":0.30975250284583894,"score_spread":0.17149682386736195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385999592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980807,0.0000060655702,0.000044345845,0.0009850754,0.00027714123,0.00014221438,0.0000848809,0.0001017808,0.00027780718],"genre_scores_gemma":[0.9980196,0.000091111004,0.000016049295,0.00087278266,0.000040553485,0.000005806061,0.0000050814588,0.000007433241,0.000941609],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9981917,0.00093055074,0.00022470889,0.00026670008,0.00015832472,0.00022798569],"domain_scores_gemma":[0.99691236,0.0027222435,0.0001159841,0.00018858799,0.000017158804,0.00004364251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008215475,0.00010205549,0.00012523675,0.000029207185,0.00014867076,0.000027910797,0.00019738726,0.00006354157,0.000034363013],"category_scores_gemma":[0.0031490978,0.000059862734,0.00007215568,0.00034137064,0.00024958153,0.000025056665,0.00020523615,0.00017676981,0.00009846092],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002704795,0.000024114124,0.0040881936,0.0000038289213,0.0000015715316,0.000017274831,0.00006681822,0.00011224954,0.9927068,0.0020633405,0.00030898725,0.0003363591],"study_design_scores_gemma":[0.0005986281,0.0011583589,0.78152335,0.00002335632,0.000013854708,0.000032497406,0.00032275036,0.033403363,0.16647917,0.0016274683,0.014467648,0.00034954466],"about_ca_topic_score_codex":0.00000802776,"about_ca_topic_score_gemma":9.0124684e-7,"teacher_disagreement_score":0.8262276,"about_ca_system_score_codex":0.000021853753,"about_ca_system_score_gemma":0.000013189723,"threshold_uncertainty_score":0.37699917},"labels":[],"label_agreement":null},{"id":"W4386068703","doi":"10.7554/elife.89674.1","title":"A neuronal least-action principle for real-time learning in cortical circuits","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Neuroscience; Action (physics); Biological neural network; Cortical neurons; Synaptic weight; Computer science; Gradient descent; Neuron; Winner-take-all; Dendritic spike; Artificial neural network; Neuroplasticity; Artificial intelligence; Psychology; Physics; Excitatory postsynaptic potential","score_opus":0.11675810195059684,"score_gpt":0.3371740034395795,"score_spread":0.22041590148898266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386068703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98953396,7.8408476e-7,0.0035017873,0.0008197954,0.0017137583,0.0009576429,0.000029956287,0.0006231908,0.0028191232],"genre_scores_gemma":[0.9704959,0.000062503634,0.00010062322,0.00023137718,0.00022970185,0.00022228024,0.00007667166,0.0000755641,0.0285054],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978008,0.00018362438,0.00038286715,0.0009299415,0.00030760127,0.0003951371],"domain_scores_gemma":[0.9987819,0.00069570105,0.0001535547,0.00024167023,0.00004026291,0.00008686457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032530687,0.00023027512,0.0002798457,0.00020716753,0.0001462239,0.00011826966,0.00021222918,0.00021628551,0.00009038646],"category_scores_gemma":[0.0015411836,0.00022804725,0.00014514873,0.00022064558,0.000047907295,0.00009143303,0.000388259,0.00093182153,0.00020968769],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011735617,0.00012829031,0.0011823794,0.00020873242,0.0000059048884,0.000036510883,0.000052179435,0.026816119,0.9585772,0.0054241484,0.00040412135,0.007047022],"study_design_scores_gemma":[0.0006361147,0.00034912385,0.051141664,0.00009639697,0.000020145846,0.000020959535,0.000018416433,0.926842,0.012607491,0.0043639652,0.0033552544,0.00054846867],"about_ca_topic_score_codex":0.000080853104,"about_ca_topic_score_gemma":0.000060722345,"teacher_disagreement_score":0.94596976,"about_ca_system_score_codex":0.00012382862,"about_ca_system_score_gemma":0.00011562814,"threshold_uncertainty_score":0.92994976},"labels":[],"label_agreement":null},{"id":"W4386073895","doi":"10.7554/elife.89674","title":"A neuronal least-action principle for real-time learning in cortical circuits","year":2023,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Seventh Framework Programme; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; HORIZON EUROPE Framework Programme; European Space Agency","keywords":"Neuroscience; Action (physics); Computer science; Sensory system; Synaptic weight; Artificial intelligence; Artificial neural network; Psychology; Physics","score_opus":0.07277185054741576,"score_gpt":0.32292971222478656,"score_spread":0.2501578616773708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386073895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99756265,5.68895e-7,0.00020687975,0.00045375447,0.00038819457,0.00022338131,0.00000585485,0.00025220984,0.00090650964],"genre_scores_gemma":[0.9947733,0.000025884543,0.000014429029,0.00030459504,0.00012798555,0.000042341635,0.000013737487,0.000020185995,0.0046775197],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989595,0.000084859945,0.00016327108,0.00030691223,0.00021939418,0.00026610497],"domain_scores_gemma":[0.9994368,0.000351474,0.000045948458,0.000087796696,0.000019810479,0.000058149755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022163843,0.00007918001,0.00009835146,0.00010352894,0.00014153672,0.00003466247,0.00006225365,0.000042275868,0.000034371722],"category_scores_gemma":[0.0012113111,0.000079323705,0.000045354856,0.0003771653,0.000026234438,0.00010862548,0.000041643005,0.00018618113,0.0003444609],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037732265,0.000029534163,0.0015340014,0.000012534518,7.7080557e-7,0.000016851029,0.0000374318,0.002000917,0.9906205,0.0013104834,0.00043397286,0.0039652786],"study_design_scores_gemma":[0.00094799395,0.00046413482,0.24316292,0.000024043571,0.000006571934,0.000029261177,0.000029845387,0.66699624,0.05883802,0.00031742436,0.028899666,0.00028387574],"about_ca_topic_score_codex":0.000008845989,"about_ca_topic_score_gemma":0.0000082008555,"teacher_disagreement_score":0.9317825,"about_ca_system_score_codex":0.00003559539,"about_ca_system_score_gemma":0.00003770345,"threshold_uncertainty_score":0.44274628},"labels":[],"label_agreement":null},{"id":"W4386074663","doi":"10.1016/j.cub.2023.07.060","title":"Visual attention to features and space in mice using reverse correlation","year":2023,"lang":"en","type":"article","venue":"Current Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Stimulus (psychology); Biology; Correlation; Neuroscience; Visual field; Visual space; Visual attention; Cognitive psychology; Artificial intelligence; Pattern recognition (psychology); Computer science; Perception; Psychology; Mathematics","score_opus":0.05831731522481336,"score_gpt":0.34995934921072813,"score_spread":0.29164203398591476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386074663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972181,0.000029012137,0.00043540934,0.0005469927,0.0015552334,0.00013914114,0.000007758687,0.000037131453,0.000031221338],"genre_scores_gemma":[0.99956673,0.00006746555,0.000021876824,0.00012835803,0.000056155157,0.0000039209463,0.000021415379,0.0000045101906,0.00012957433],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9994131,0.00008036731,0.00008441539,0.0002450206,0.000037709964,0.00013939086],"domain_scores_gemma":[0.99980783,0.00007789857,0.000033589193,0.000041395946,0.000009197567,0.000030075465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009178407,0.00005924808,0.00006672499,0.00016117244,0.000054903878,0.000012660753,0.00003474385,0.000044115433,0.0000036930219],"category_scores_gemma":[0.00020286025,0.000053881755,0.0000145776285,0.00037749813,0.000029294319,0.000056199344,0.000057111512,0.00009474159,0.000042919746],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024326459,0.000015490292,0.01391081,0.000008853882,3.955971e-7,0.0000021554977,0.000046699388,0.0002100411,0.973713,0.001744908,0.0005210905,0.009802249],"study_design_scores_gemma":[0.0012843407,0.0005088379,0.69191486,0.00017204303,0.000019662237,0.000080972575,0.000146718,0.26513052,0.018036269,0.0039421087,0.018176822,0.00058686524],"about_ca_topic_score_codex":0.000022256037,"about_ca_topic_score_gemma":0.00002038442,"teacher_disagreement_score":0.95567673,"about_ca_system_score_codex":0.00002421027,"about_ca_system_score_gemma":0.00000626219,"threshold_uncertainty_score":0.21972342},"labels":[],"label_agreement":null},{"id":"W4386083906","doi":"10.7554/elife.82566","title":"Statistical inference on representational geometries","year":2023,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Deutsche Forschungsgemeinschaft","keywords":"Overfitting; Bootstrapping (finance); Inference; Computer science; Artificial intelligence; Machine learning; Python (programming language); Resampling; Generalization; Toolbox; Big data; Statistical inference; Computational neuroscience; Artificial neural network; Data mining; Mathematics; Statistics","score_opus":0.08362729769444643,"score_gpt":0.35476798418683275,"score_spread":0.2711406864923863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386083906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913355,0.0000011114473,0.0013755278,0.0013501247,0.0005767393,0.000078214376,0.00007753268,0.000188506,0.005016724],"genre_scores_gemma":[0.99585444,0.000021701602,0.000044484914,0.0014933828,0.00008068053,0.000009194625,0.000023127197,0.0000062430286,0.0024667638],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991661,0.000029870482,0.00009287541,0.00021742737,0.0003579182,0.00013586252],"domain_scores_gemma":[0.99873406,0.0010671187,0.000022960168,0.00010979099,0.000019498271,0.000046559195],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008862432,0.000051875395,0.00005207627,0.00011281617,0.00010024879,0.000043520708,0.000061331666,0.000018913086,0.00019108872],"category_scores_gemma":[0.0031191923,0.000044486045,0.000016152055,0.0005139006,0.000053064192,0.00006542325,0.000041527364,0.00008137115,0.0016928688],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013191887,0.000113633854,0.012091551,0.000018949184,0.000005358996,0.00023827546,0.00012264894,0.0027539195,0.23219542,0.6511664,0.085037984,0.01612399],"study_design_scores_gemma":[0.00074045104,0.0005227044,0.6727652,0.000023509267,0.0000069980497,0.000020663496,0.00006264212,0.045283146,0.20435216,0.028810235,0.046968486,0.0004438047],"about_ca_topic_score_codex":0.0000063222174,"about_ca_topic_score_gemma":0.0000014937312,"teacher_disagreement_score":0.6606737,"about_ca_system_score_codex":0.000010808532,"about_ca_system_score_gemma":0.000018276307,"threshold_uncertainty_score":0.9990844},"labels":[],"label_agreement":null},{"id":"W4386084087","doi":"10.1162/neco_a_01671","title":"Desiderata for Normative Models of Synaptic Plasticity","year":2024,"lang":"en","type":"article","venue":"Neural Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; National Institutes of Health; National Science Foundation","keywords":"Normative; Plasticity; Computer science; Cognitive science; Set (abstract data type); Consistency (knowledge bases); Computational model; Artificial neural network; Synaptic plasticity; Artificial intelligence; Normative model of decision-making; Psychology; Machine learning; Epistemology; Physics; Biology","score_opus":0.06885741615085489,"score_gpt":0.29581417427376067,"score_spread":0.22695675812290578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386084087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5672957,0.000012475535,0.43154597,0.00021665603,0.00040992835,0.0002328257,0.000035826,0.00008162081,0.00016900283],"genre_scores_gemma":[0.99915224,0.0000026637188,0.00055525167,0.00018577886,0.00003935371,0.000014121183,0.000010541899,0.000010723062,0.000029338511],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993148,0.000047961206,0.0001808165,0.00021488023,0.00013203514,0.00010954577],"domain_scores_gemma":[0.99912494,0.0007130178,0.00004964765,0.00003994123,0.000047286507,0.000025140158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005624036,0.000079634716,0.00009577824,0.00007990767,0.00007341349,0.00006166232,0.00005908643,0.000027417786,0.0000036922513],"category_scores_gemma":[0.00014843955,0.000068152905,0.000053423726,0.00017575955,0.000035656612,0.0003724953,0.000020816875,0.00007351197,0.0000065135137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009694235,0.00003512435,0.0000034608656,0.00025133925,0.000009460673,0.0000080814,0.00029815306,0.57811975,0.35887074,0.038222954,0.0004093573,0.0236746],"study_design_scores_gemma":[0.00011218548,0.00017746564,0.00007186437,0.000022844593,0.000010714355,0.000012921624,0.000007980085,0.93439716,0.028223857,0.036889903,0.000011077533,0.00006203339],"about_ca_topic_score_codex":0.0000066282723,"about_ca_topic_score_gemma":0.0000020136351,"teacher_disagreement_score":0.43185654,"about_ca_system_score_codex":0.00002190572,"about_ca_system_score_gemma":0.000017964874,"threshold_uncertainty_score":0.2779195},"labels":[],"label_agreement":null},{"id":"W4386085524","doi":"10.1101/2023.08.22.554318","title":"Movies reveal the fine-grained organization of infant visual cortex","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Faculty of Arts and Sciences; Canadian Institute for Advanced Research; Yale University; James S. McDonnell Foundation","keywords":"Visual cortex; Psychology; Dorsum; Cognitive psychology; Functional connectivity; Neuroscience; Computer science; Biology","score_opus":0.02004427800753683,"score_gpt":0.2357211959301314,"score_spread":0.21567691792259458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386085524","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949221,0.0000338715,0.00066891697,0.00079610664,0.0021798161,0.0007118668,0.00022759127,0.00045418352,0.0000055409537],"genre_scores_gemma":[0.99888384,0.0001349096,0.00012676757,0.0003083788,0.00030364987,0.000057954305,8.4753907e-7,0.00013215451,0.000051499283],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99741304,0.00021576359,0.00059343164,0.00087299617,0.0005279186,0.0003768736],"domain_scores_gemma":[0.99764663,0.0002944046,0.00061752636,0.0009084867,0.0004302174,0.00010270623],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00048085992,0.00039503424,0.00043378962,0.00022982665,0.0002524297,0.00017125312,0.00064648525,0.00029142582,0.00003047764],"category_scores_gemma":[0.002323978,0.00031881087,0.0001241667,0.0013846778,0.00021035851,0.00012614497,0.00070004887,0.0005876278,0.00007747757],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014806556,0.00005986903,0.0042967414,0.00017025968,0.000021767863,0.000020213682,0.000012240862,0.00016414451,0.9930118,0.0017620969,0.00046442114,0.0000016471932],"study_design_scores_gemma":[0.00029415957,0.00008213369,0.2647294,0.0002077715,0.00007426862,3.6758163e-8,0.000003418283,0.0042723604,0.729225,0.000017212444,0.00059420563,0.0005000785],"about_ca_topic_score_codex":0.00006163599,"about_ca_topic_score_gemma":0.0000047234407,"teacher_disagreement_score":0.26378685,"about_ca_system_score_codex":0.0000959453,"about_ca_system_score_gemma":0.0003028506,"threshold_uncertainty_score":0.9999264},"labels":[],"label_agreement":null},{"id":"W4386125524","doi":"10.1101/2023.08.23.554473","title":"Temporal weighting of cortical and subcortical spikes reveals stimulus dependent differences in their contributions to behavior","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Visual cortex; Stimulus (psychology); Neuroscience; Luminance; Visual perception; Psychology; Perception; Visual processing; Superior colliculus; Surround suppression; Visual N1; Visual system; Artificial intelligence; Computer science; Cognitive psychology","score_opus":0.036742586033478915,"score_gpt":0.26733217643351587,"score_spread":0.23058959040003696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386125524","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957883,0.000049827977,0.0009362614,0.00039819622,0.00087548606,0.0009574833,0.00061688374,0.0003768644,7.047533e-7],"genre_scores_gemma":[0.9990946,0.00008042633,0.00026808676,0.00011101265,0.00011361781,0.0002375444,2.6118278e-7,0.00009124942,0.000003219028],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99698883,0.00026844672,0.0007649889,0.0010279473,0.000409779,0.0005399973],"domain_scores_gemma":[0.99815476,0.0005255067,0.0002728942,0.00054491305,0.0002021708,0.00029978447],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00057751674,0.00038498171,0.0006570839,0.00033115904,0.00011003853,0.00014803532,0.00036691033,0.00031641792,0.0000055554638],"category_scores_gemma":[0.0022128152,0.0003469761,0.00009612927,0.0005514358,0.00019871653,0.00009752134,0.00067089463,0.00076241733,0.000008441111],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033612578,0.00013984622,0.23261379,0.000075596654,0.0000058543646,0.0000819526,0.0000063326424,0.000013215012,0.765431,0.0015877233,0.0000089553805,0.0000021487979],"study_design_scores_gemma":[0.00029848886,0.00012271966,0.76895636,0.00026035646,0.00004554023,5.9964364e-8,0.0000036220115,0.0020949903,0.2278256,0.00002263712,0.000010567686,0.0003590858],"about_ca_topic_score_codex":0.00010662763,"about_ca_topic_score_gemma":0.000026095253,"teacher_disagreement_score":0.5376054,"about_ca_system_score_codex":0.00015611277,"about_ca_system_score_gemma":0.00018894313,"threshold_uncertainty_score":0.9998982},"labels":[],"label_agreement":null},{"id":"W4386129888","doi":"10.1016/j.conb.2023.102755","title":"Cortical contribution to visuomotor coordination in locomotion and reaching","year":2023,"lang":"en","type":"review","venue":"Current Opinion in Neurobiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Context (archaeology); Psychology; Forelimb; GRASP; Communication; Cognitive psychology; Biology; Computer science","score_opus":0.16135468469916897,"score_gpt":0.41552979791274136,"score_spread":0.2541751132135724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386129888","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022975473,0.9075936,0.0012764923,0.0014803299,0.0559201,0.009795526,0.00041789963,0.0005066648,0.000033874912],"genre_scores_gemma":[0.0028694514,0.99623036,0.000003488858,0.00004380145,0.00023992197,0.00025001031,0.00030277576,0.000036234364,0.00002396982],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967811,0.0011542755,0.0007345249,0.000853094,0.000104329854,0.00037269486],"domain_scores_gemma":[0.99852526,0.00095668953,0.00023148821,0.0001797594,0.000024224943,0.000082572806],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00047814674,0.00029328873,0.00078241964,0.0007479169,0.00007475978,0.000042170494,0.00017401084,0.00024285157,0.0000042359284],"category_scores_gemma":[0.0019584554,0.00026466168,0.00009129493,0.00087919564,0.00006572489,0.000094524,0.00019848827,0.0008299514,0.00008343642],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004514999,0.00024639576,0.00019073406,0.0066299792,0.000003945579,0.000009276887,0.000040580137,0.000028139639,0.0015736277,0.016225392,0.00050774374,0.97449905],"study_design_scores_gemma":[0.00063799275,0.00042060937,0.0018992537,0.0105720535,0.000023587967,0.00008580762,0.0000022835607,0.0021143595,0.000012193307,0.000561802,0.98315233,0.00051770033],"about_ca_topic_score_codex":0.0000066179227,"about_ca_topic_score_gemma":0.000006498268,"teacher_disagreement_score":0.9826446,"about_ca_system_score_codex":0.00019490144,"about_ca_system_score_gemma":0.000045973637,"threshold_uncertainty_score":0.99998057},"labels":[],"label_agreement":null},{"id":"W4386135286","doi":"10.7554/elife.90080.1","title":"Aberrant cortical activity, functional connectivity, and neural assembly architecture after photothrombotic stroke in mice","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta","funders":"","keywords":"Forelimb; Somatosensory system; Neuroscience; Barrel cortex; Calcium imaging; Cortex (anatomy); Neuroplasticity; Stroke (engine); Cerebral cortex; Premovement neuronal activity; Biology; Psychology; Medicine; Calcium; Physics; Internal medicine","score_opus":0.0493600666579417,"score_gpt":0.27494673711944706,"score_spread":0.22558667046150535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386135286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99014276,0.000011411027,0.002474836,0.0035738808,0.0022546472,0.0007315377,0.0001788467,0.00024606983,0.00038598716],"genre_scores_gemma":[0.9965501,0.00003791721,0.00007230717,0.0010598567,0.00016477193,0.00015434762,0.000014903065,0.00006596435,0.0018798321],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99670273,0.00038603134,0.0003456542,0.0014510547,0.00056287093,0.0005516722],"domain_scores_gemma":[0.9977113,0.0015894291,0.00013291322,0.00036365585,0.00003421652,0.00016849596],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027954404,0.00047905504,0.0005322831,0.00035265883,0.00012568303,0.00026102315,0.0002213799,0.0003714693,0.00010443529],"category_scores_gemma":[0.00064934563,0.00042092244,0.00017583586,0.00025666898,0.00021970437,0.00012677304,0.0012278182,0.0020446947,0.00002712963],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063365966,0.00035078314,0.0057767043,0.0002487795,0.000027134254,0.00034988156,0.00010785118,0.006083035,0.9825465,0.0005977709,0.0001612775,0.0031165862],"study_design_scores_gemma":[0.0010786176,0.00028031878,0.75452846,0.00013332693,0.000062682484,0.00022311964,0.000023390596,0.20870782,0.026626011,0.0073640235,0.00004403952,0.0009281499],"about_ca_topic_score_codex":0.00032332464,"about_ca_topic_score_gemma":0.0017526328,"teacher_disagreement_score":0.9559205,"about_ca_system_score_codex":0.00010935733,"about_ca_system_score_gemma":0.0000891782,"threshold_uncertainty_score":0.9998243},"labels":[],"label_agreement":null},{"id":"W4386158218","doi":"10.3389/fnint.2023.1271818","title":"Editorial: Reproducibility in neuroscience","year":2023,"lang":"en","type":"editorial","venue":"Frontiers in Integrative Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Reproducibility; Neuroscience; Psychology; Chemistry; Chromatography","score_opus":0.025619928463029136,"score_gpt":0.29812403489809514,"score_spread":0.272504106435066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386158218","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013764915,0.000028585975,0.0007362505,0.0003930569,0.99513286,0.0010094024,0.0003291231,0.0003124072,0.0006818448],"genre_scores_gemma":[0.0038846214,0.0010780712,0.00015011417,0.00062892435,0.9886932,0.00032000194,0.000032535438,0.00016529894,0.005047282],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98527443,0.0012004211,0.0012966709,0.0077311564,0.0029653162,0.0015319859],"domain_scores_gemma":[0.9934739,0.0025471882,0.0006641869,0.002773529,0.00026855778,0.0002726288],"candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00419611,0.0009239731,0.0011460655,0.0015869015,0.00033663085,0.00047365812,0.0030305258,0.0008679744,0.000004954218],"category_scores_gemma":[0.1807484,0.00080457266,0.00024404844,0.006880735,0.0017095073,0.0011292521,0.0007795259,0.0044162627,0.00003789973],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011875861,0.00017311571,0.00055529934,0.00004018857,3.4477833e-7,0.00013873079,0.00020362472,0.00028822265,0.031958543,0.00010092707,0.9656945,0.0007277774],"study_design_scores_gemma":[0.00053481775,0.00041649543,0.0010209644,0.000254728,0.0000065501813,0.000002708138,0.00010091497,0.009891513,0.0023462812,0.003489337,0.98108554,0.00085015845],"about_ca_topic_score_codex":0.00033445953,"about_ca_topic_score_gemma":0.00036772634,"teacher_disagreement_score":0.1765523,"about_ca_system_score_codex":0.0008549144,"about_ca_system_score_gemma":0.0009227266,"threshold_uncertainty_score":0.9994405},"labels":[],"label_agreement":null},{"id":"W4386162565","doi":"10.7554/elife.85786.2.sa3","title":"Author Response: Pynapple, a toolbox for data analysis in neuroscience","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Python (programming language); Computer science; Toolbox; R package; Data type; Data mining; Programming language","score_opus":0.23704062007006743,"score_gpt":0.4164739293339022,"score_spread":0.17943330926383477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386162565","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012949287,0.0014768605,0.024887402,0.9072491,0.024119876,0.008430216,0.028149333,0.0012791363,0.003113128],"genre_scores_gemma":[0.00064811984,0.00092662574,0.00035463687,0.020473795,0.00015586955,0.0003046969,0.0018033398,0.00008045451,0.97525245],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.994864,0.00045496077,0.0007584922,0.0024573123,0.00081984856,0.0006453889],"domain_scores_gemma":[0.99470866,0.002381364,0.00032940472,0.002362085,0.000084330735,0.00013413979],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0031315528,0.00040468428,0.000888251,0.0010774406,0.00018177419,0.00020069788,0.002518918,0.00021694445,0.00015536186],"category_scores_gemma":[0.018268287,0.00033725274,0.00031667293,0.0064872033,0.00013229466,0.00029697205,0.0008179709,0.0005012475,0.000088334506],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011684962,0.000046879828,0.000012385069,0.00043181976,0.000010381711,0.000046181158,0.0000043148475,0.00007712332,0.0044908347,0.00034761484,0.9914922,0.0029233892],"study_design_scores_gemma":[0.00014622966,0.000103122016,0.0005344914,0.0001880012,0.00028821322,0.000006866995,0.0000023256932,0.11613178,0.00006462268,0.00015520053,0.8820226,0.00035650603],"about_ca_topic_score_codex":0.00021373175,"about_ca_topic_score_gemma":0.0013913052,"teacher_disagreement_score":0.97213936,"about_ca_system_score_codex":0.00008413797,"about_ca_system_score_gemma":0.00027940626,"threshold_uncertainty_score":0.999908},"labels":[],"label_agreement":null},{"id":"W4386162587","doi":"10.7554/elife.85786.2","title":"Pynapple, a toolbox for data analysis in neuroscience","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Azrieli Foundation; Natural Sciences and Engineering Research Council of Canada; International Development Research Centre","keywords":"Computer science; Python (programming language); Toolbox; Neuroinformatics; Data type; Data mining; Programming language; Data science","score_opus":0.2523147579570882,"score_gpt":0.36957425735521243,"score_spread":0.11725949939812425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386162587","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3740982,0.000032436845,0.5727278,0.017378597,0.014062946,0.006563006,0.0071784654,0.0018646988,0.0060938336],"genre_scores_gemma":[0.9825062,0.0001227881,0.0016793768,0.003095108,0.00013382733,0.000249229,0.0007014644,0.00005564092,0.011456373],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967619,0.00008033699,0.00039562036,0.0020271556,0.0003415508,0.00039342925],"domain_scores_gemma":[0.9974409,0.0005157673,0.00016161025,0.0017848891,0.000026359727,0.000070484144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005937113,0.00022917375,0.00037860745,0.0006779644,0.00009724645,0.0002516727,0.001911388,0.00014473684,0.000024070681],"category_scores_gemma":[0.001985774,0.00020201498,0.0001666333,0.0019896785,0.00008532163,0.00019297279,0.0023013998,0.00038057804,0.000023753017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004950583,0.0012742431,0.028890982,0.0011272532,0.0001922915,0.000479766,0.0003301911,0.27605912,0.5240637,0.07983308,0.05398275,0.03327153],"study_design_scores_gemma":[0.00013901501,0.00003224897,0.0077414378,0.000010280178,0.00008934931,0.0000014428499,0.0000067427773,0.98186964,0.0007086118,0.005579309,0.0035627591,0.0002591581],"about_ca_topic_score_codex":0.0004001457,"about_ca_topic_score_gemma":0.0014313725,"teacher_disagreement_score":0.70581055,"about_ca_system_score_codex":0.00004170087,"about_ca_system_score_gemma":0.000089247944,"threshold_uncertainty_score":0.82379323},"labels":[],"label_agreement":null},{"id":"W4386242415","doi":"10.1167/jov.23.9.5510","title":"Saccades alter cortical network modularity and decrease lateralization in a visual perception task","year":2023,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto; York University","funders":"","keywords":"Psychology; Task-positive network; Neuroscience; Fixation (population genetics); Saccade; Stimulus (psychology); Visual field; Cued speech; Electroencephalography; Perception; Audiology; Eye movement; Cognitive psychology; Cognition; Default mode network; Population; Medicine","score_opus":0.020870974763896464,"score_gpt":0.313925775868824,"score_spread":0.2930548011049275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386242415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99812365,0.000008859626,0.0009096565,0.00056510634,0.00029694123,0.000063439424,8.905756e-7,0.000013831695,0.000017628252],"genre_scores_gemma":[0.99903923,0.00026913872,0.00008486713,0.00040654175,0.00015648697,5.851664e-7,0.0000022754616,0.000007395862,0.000033499942],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99906343,0.00016244593,0.00027517302,0.00013146497,0.00022742501,0.00014008602],"domain_scores_gemma":[0.9995958,0.00011899709,0.000113430375,0.000044620316,0.000033607404,0.00009351838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004258808,0.00006608559,0.00011446196,0.00014430442,0.00008260134,0.000066476365,0.000048233713,0.00005356653,0.000022104688],"category_scores_gemma":[0.0003870212,0.000051357114,0.000037671212,0.00033569903,0.000028797842,0.0003264902,0.00004015952,0.00019273315,0.000009235649],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031113415,0.000106862244,0.016839651,0.000019786134,0.0000019404984,0.00012707364,0.0001589837,0.0045952187,0.9626135,0.00031516858,0.0007283609,0.014182304],"study_design_scores_gemma":[0.00046734945,0.0003891833,0.6331232,0.00008245181,0.0000074063073,0.000080330996,0.000017320097,0.36246192,0.0005537147,0.002577002,0.00017031566,0.000069787864],"about_ca_topic_score_codex":0.0000058792843,"about_ca_topic_score_gemma":0.0000053886465,"teacher_disagreement_score":0.9620598,"about_ca_system_score_codex":0.00003235547,"about_ca_system_score_gemma":0.000014344686,"threshold_uncertainty_score":0.20942824},"labels":[],"label_agreement":null},{"id":"W4386242443","doi":"10.1167/jov.23.9.5354","title":"Non-monotonic plasticity from real-time inception of competition between object representations","year":2023,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Neurofeedback; Session (web analytics); Object (grammar); Psychology; Perception; Neural correlates of consciousness; Similarity (geometry); Computer science; Neuroplasticity; Representation (politics); Cognitive psychology; Monotonic function; Neuroscience; Artificial intelligence; Electroencephalography; Cognition; Mathematics; Image (mathematics)","score_opus":0.02582119504944313,"score_gpt":0.3120515002129133,"score_spread":0.28623030516347014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386242443","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99777967,0.000001444411,0.0009911475,0.0002725417,0.00031292817,0.00009211958,0.0000433466,0.000023493933,0.00048332426],"genre_scores_gemma":[0.99931514,0.00016114913,0.00017884054,0.00002231551,0.00020391052,8.4467285e-7,0.00001727441,0.000009480672,0.00009105761],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987722,0.00010360401,0.00045729376,0.0001531443,0.00040333375,0.00011039626],"domain_scores_gemma":[0.9985369,0.000688562,0.00051187054,0.00010539631,0.00009969594,0.000057600817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024209729,0.00007654768,0.0002008439,0.00023515974,0.00009878866,0.00002955292,0.00013322243,0.00005360545,0.00007694132],"category_scores_gemma":[0.00032941852,0.0000641491,0.00010691723,0.0004521783,0.00004775303,0.00031464308,0.00005257276,0.0001610667,0.00008467954],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000071868926,0.000041410935,0.0017688774,0.000006317663,0.0000050552526,0.000010425006,0.000082984705,0.0012244898,0.9945898,0.00006420479,0.0005437206,0.0015908395],"study_design_scores_gemma":[0.000670222,0.0007441197,0.82779294,0.00017976247,0.000040275794,0.000010754658,0.00005349415,0.0326161,0.13439806,0.003300829,0.00009478855,0.00009862557],"about_ca_topic_score_codex":0.000050865343,"about_ca_topic_score_gemma":0.0000034701518,"teacher_disagreement_score":0.86019176,"about_ca_system_score_codex":0.00004873307,"about_ca_system_score_gemma":0.00003511696,"threshold_uncertainty_score":0.26159245},"labels":[],"label_agreement":null},{"id":"W4386243597","doi":"10.1101/2023.08.28.555132","title":"The marmoset default-mode network identified by deactivations in task-based fMRI studies","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research; Canada First Research Excellence Fund","keywords":"Marmoset; Default mode network; Neuroscience; Callithrix; Macaque; Prefrontal cortex; Psychology; Posterior cingulate; Ventrolateral prefrontal cortex; Entorhinal cortex; Dorsolateral prefrontal cortex; Anterior cingulate cortex; Functional magnetic resonance imaging; Hippocampus; Biology; Primate; Cognition","score_opus":0.0405959427498707,"score_gpt":0.27551563783309957,"score_spread":0.23491969508322885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386243597","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9847134,0.0006607635,0.0014411289,0.0038366385,0.0064959815,0.0014680238,0.0005892298,0.0007877624,0.000007104573],"genre_scores_gemma":[0.9970756,0.00073068665,0.00018379568,0.0008477728,0.0003247418,0.0006313187,0.0000014586836,0.00014247229,0.00006214488],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99623734,0.00043253528,0.00068985735,0.001283438,0.0005633293,0.0007934742],"domain_scores_gemma":[0.9965045,0.001392448,0.0005106758,0.0012198539,0.0002360899,0.00013646345],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009658935,0.0005235627,0.00047749275,0.00020799776,0.0007508643,0.00047096948,0.0008374781,0.00031891724,0.0000043267623],"category_scores_gemma":[0.0021366253,0.00045128522,0.00016050879,0.001327919,0.00024819345,0.00017021074,0.0006097296,0.0010687279,0.00008770808],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063020925,0.00011022817,0.0027927896,0.0001442677,0.00005924842,0.000058454392,0.000008178995,0.0081311045,0.9682395,0.0014833865,0.018905962,0.0000038857556],"study_design_scores_gemma":[0.0026555164,0.00020667589,0.15149622,0.0019238407,0.00029730526,5.7990782e-8,0.000036146354,0.09486811,0.7013701,0.0008568305,0.042309105,0.003980106],"about_ca_topic_score_codex":0.00010452462,"about_ca_topic_score_gemma":0.000077230034,"teacher_disagreement_score":0.26686937,"about_ca_system_score_codex":0.00039804733,"about_ca_system_score_gemma":0.0003152799,"threshold_uncertainty_score":0.9997939},"labels":[],"label_agreement":null},{"id":"W4386247199","doi":"10.1167/jov.23.9.5314","title":"Characterizing the spatial organization of population codes in macaque prefrontal cortex during visuospatial tasks","year":2023,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Prefrontal cortex; Population; Functional magnetic resonance imaging; Macaque; Spatial memory; Working memory; Psychology; Spatial analysis; Cognition; Decoding methods; Neuroscience; Computer science; Geography","score_opus":0.013032767703724343,"score_gpt":0.2642945690299249,"score_spread":0.2512618013262005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386247199","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99864703,0.0000018567036,0.00021009281,0.00040448856,0.0005965516,0.000107109336,0.000005446772,0.0000129211985,0.000014484398],"genre_scores_gemma":[0.99968594,0.00005488836,0.000014686826,0.000045662604,0.00015315942,4.777599e-7,0.000010051515,0.000012560431,0.000022565046],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989327,0.0001048663,0.00042094028,0.00010910352,0.00032454252,0.00010781888],"domain_scores_gemma":[0.99926496,0.00009645004,0.00046986074,0.000077581775,0.000065758344,0.000025385572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021707531,0.000071258924,0.00013905045,0.00018738478,0.00009866114,0.00003602544,0.000121645244,0.000045091765,0.000021493586],"category_scores_gemma":[0.00038230515,0.0000491541,0.00004255364,0.00046936597,0.000020644376,0.00031319848,0.000052723382,0.00016705185,0.0000046502714],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007786063,0.000032221793,0.017933562,0.000014161274,0.0000014451856,0.000015990687,0.00017073224,0.0005381531,0.97835684,0.00003625757,0.000008009093,0.002814762],"study_design_scores_gemma":[0.00034073956,0.00013785514,0.8736841,0.00008338359,0.0000050446247,0.000042033134,0.000030409581,0.014819718,0.110719815,0.00008112716,0.000010404143,0.000045348766],"about_ca_topic_score_codex":0.00008569495,"about_ca_topic_score_gemma":0.00003888431,"teacher_disagreement_score":0.86763704,"about_ca_system_score_codex":0.000058000587,"about_ca_system_score_gemma":0.000015975269,"threshold_uncertainty_score":0.2004446},"labels":[],"label_agreement":null},{"id":"W4386247237","doi":"10.1167/jov.23.9.5564","title":"Endogenous activity outside the target location in Area MT predicts perceptual sensitivity in behaving marmosets","year":2023,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Receptive field; Context (archaeology); Population; Neuroscience; Sensitivity (control systems); Perception; Premovement neuronal activity; Sensory system; Neural activity; Modulation (music); Psychology; Physics; Biology; Medicine","score_opus":0.05446631285570618,"score_gpt":0.2877719641838529,"score_spread":0.23330565132814673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386247237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977597,0.0000085400825,0.0003090102,0.001134953,0.0005171393,0.00014955166,0.000004980887,0.000016400494,0.00009972421],"genre_scores_gemma":[0.9996549,0.00005821983,0.00002572955,0.00013655226,0.00007747543,0.0000015735345,0.0000013685789,0.0000102886,0.00003389878],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985687,0.00033918343,0.00028829035,0.0001753194,0.00041893937,0.0002095398],"domain_scores_gemma":[0.9990771,0.00047385696,0.00022067742,0.00012647438,0.00005431275,0.000047616188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012590756,0.0000973073,0.00015844229,0.00025605678,0.00010389225,0.000049052964,0.00011391886,0.000057950212,0.000008953218],"category_scores_gemma":[0.0007695946,0.00006730771,0.000059518974,0.0006519098,0.000043313954,0.00039211876,0.00007523389,0.00042872725,0.00001161302],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011621164,0.00013153374,0.009748262,0.0000078623525,9.892051e-7,0.00042572108,0.00054715964,0.007774468,0.96866536,0.000009472751,0.0001405124,0.012432436],"study_design_scores_gemma":[0.00049948145,0.00035442907,0.8659328,0.00011441778,0.000005409447,0.00033454137,0.00018939396,0.11107759,0.021046506,0.00029766012,0.000056773417,0.000090979556],"about_ca_topic_score_codex":0.00005956372,"about_ca_topic_score_gemma":0.00012626061,"teacher_disagreement_score":0.94761884,"about_ca_system_score_codex":0.00013983625,"about_ca_system_score_gemma":0.00005575908,"threshold_uncertainty_score":0.2744729},"labels":[],"label_agreement":null},{"id":"W4386247389","doi":"10.1167/jov.23.9.5736","title":"Probing the role of bypass connections in core object recognition by chemogenetic suppression of macaque V4 neurons","year":2023,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Macaque; Neuroscience; Visual cortex; Computer science; Object (grammar); Artificial intelligence; Pattern recognition (psychology); Cognitive neuroscience of visual object recognition; Cortex (anatomy); Computer vision; Biology","score_opus":0.02942202302255735,"score_gpt":0.2820035011556814,"score_spread":0.25258147813312404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386247389","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998668,0.00003300636,0.000034149507,0.0005545795,0.00035504994,0.00015290629,0.000020702017,0.00000865983,0.0001729212],"genre_scores_gemma":[0.9995693,0.00025179758,0.000021648355,0.000060634015,0.000034097244,0.0000024478097,0.000003794172,0.000010745041,0.000045551715],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99890953,0.00012994547,0.00042897734,0.00012408722,0.0002857126,0.00012172052],"domain_scores_gemma":[0.99895835,0.00036951195,0.0004485739,0.00010707571,0.000083752406,0.000032736327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028420868,0.00007536785,0.00015429336,0.00020281534,0.00007814833,0.00001478653,0.00014736991,0.000049833536,0.00002295905],"category_scores_gemma":[0.00044028217,0.000050370767,0.00008623268,0.00058437686,0.00005008183,0.00014169783,0.000049954262,0.00023501454,0.000003797868],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008536602,0.00007789013,0.00045407534,0.000013161583,0.0000021571375,0.0000048244133,0.00010760344,0.0005565011,0.9882313,0.000024047407,0.00062691513,0.009816153],"study_design_scores_gemma":[0.0005284282,0.0006631185,0.011494782,0.00026284583,0.00001899068,0.00008479734,0.00020800214,0.022719378,0.9608947,0.0025431265,0.00051131536,0.00007052919],"about_ca_topic_score_codex":0.000013226818,"about_ca_topic_score_gemma":0.0000056335134,"teacher_disagreement_score":0.02733662,"about_ca_system_score_codex":0.00002329043,"about_ca_system_score_gemma":0.000030842664,"threshold_uncertainty_score":0.20540603},"labels":[],"label_agreement":null},{"id":"W4386247548","doi":"10.1167/jov.23.9.5603","title":"Functional architecture of visual responses in supplementary eye field","year":2023,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Saccade; Neuroscience; Visual cortex; Receptive field; Laminar flow; Laminar organization; Latency (audio); Psychology; Eye movement; Computer science; Physics","score_opus":0.024773363831783763,"score_gpt":0.3296701881652092,"score_spread":0.30489682433342546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386247548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952566,0.000007696471,0.0001847293,0.003854565,0.00058477843,0.000046017525,0.000011267889,0.0000052479863,0.000049080863],"genre_scores_gemma":[0.9990404,0.00004668253,0.00006427534,0.00046857027,0.00010750661,4.7499935e-7,0.000002544314,0.000005505521,0.0002639907],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99902445,0.00010876422,0.000317382,0.00009644643,0.00034599984,0.00010694237],"domain_scores_gemma":[0.99914694,0.0005597082,0.00017043429,0.0000567973,0.000032235384,0.000033872562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036569266,0.000057789708,0.00011582469,0.00038569543,0.00003611497,0.0000119536535,0.0000876645,0.000033611934,0.0002201789],"category_scores_gemma":[0.00046527706,0.000043202654,0.00007703791,0.00038721395,0.000020674524,0.0000909123,0.00004609146,0.00020807955,0.000006424325],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009848343,0.000081953796,0.0035721348,0.000011211204,0.000002158848,0.000078262216,0.000054140924,0.0008406019,0.9797171,0.00006981239,0.004761675,0.009826149],"study_design_scores_gemma":[0.0021167204,0.005245445,0.5620288,0.0002463191,0.000014973704,0.00018059032,0.00017793353,0.0059583564,0.40933955,0.004898639,0.009603201,0.00018947333],"about_ca_topic_score_codex":0.0000069605053,"about_ca_topic_score_gemma":0.000008563489,"teacher_disagreement_score":0.5703775,"about_ca_system_score_codex":0.000019449255,"about_ca_system_score_gemma":0.000032425403,"threshold_uncertainty_score":0.24108045},"labels":[],"label_agreement":null},{"id":"W4386249513","doi":"10.1523/eneuro.0212-23.2023","title":"A Simple, Lightweight, and Low-Cost Customizable Multielectrode Array for Local Field Potential Recordings","year":2023,"lang":"en","type":"article","venue":"eNeuro","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University; University of Guelph","funders":"National Institute of Mental Health; National Institute on Alcohol Abuse and Alcoholism; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Local field potential; Computer science; Multielectrode array; Electrode array; Brain activity and meditation; Computer hardware; Neuroscience; Electrode; Microelectrode; Engineering; Electroencephalography; Electrical engineering; Voltage; Chemistry; Biology","score_opus":0.014567523641781684,"score_gpt":0.24769887436562213,"score_spread":0.23313135072384045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386249513","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94205296,0.000007247896,0.051958658,0.0024754985,0.0014874571,0.00068005605,0.000042096894,0.00035732088,0.0009386735],"genre_scores_gemma":[0.99425286,0.00008130515,0.00006648401,0.0025495598,0.00019294357,0.000062033636,0.000012391447,0.000031102925,0.0027513416],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998811,0.000040411585,0.00015803946,0.00047108898,0.00013579155,0.0003836597],"domain_scores_gemma":[0.9992248,0.00045363748,0.000052279436,0.00015970462,0.000022017293,0.00008756723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010085444,0.0001377425,0.00013862236,0.00010507097,0.00024381735,0.00008151337,0.0001295339,0.00006618126,0.00003073485],"category_scores_gemma":[0.00042142256,0.00012380388,0.000070657195,0.00030004824,0.0000387575,0.00013941064,0.000052921823,0.0001512301,0.000048966816],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015607198,0.000024902774,0.000070447946,0.000025413066,0.0000023783828,0.000029826297,0.000022660899,0.0006668349,0.96521306,0.00038149997,0.019236028,0.0141708795],"study_design_scores_gemma":[0.000744212,0.00033862522,0.0002414879,0.000009423801,0.000011819394,0.00003141417,0.000011148242,0.20296702,0.7419717,0.0017995542,0.051647965,0.0002256415],"about_ca_topic_score_codex":0.000024076862,"about_ca_topic_score_gemma":0.000012693491,"teacher_disagreement_score":0.22324136,"about_ca_system_score_codex":0.000014466679,"about_ca_system_score_gemma":0.000016548314,"threshold_uncertainty_score":0.5048576},"labels":[],"label_agreement":null},{"id":"W4386249579","doi":"10.1167/jov.23.9.4972","title":"Putative excitatory and inhibitory neurons in the macaque inferior temporal cortex play distinct roles in core object recognition","year":2023,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Macaque; Neuroscience; Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Population; Neural decoding; Visual cortex; Biology; Pattern recognition (psychology); Artificial intelligence; Psychology; Decoding methods; Computer science","score_opus":0.038657616500196154,"score_gpt":0.3045991181931361,"score_spread":0.26594150169293995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386249579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99884087,0.000016856075,0.000013342554,0.00053662964,0.00033672288,0.00014308168,0.000018148146,0.000010657157,0.00008367814],"genre_scores_gemma":[0.99941516,0.0001115505,0.000015472222,0.00034699528,0.00007554532,0.0000034442803,0.0000052978794,0.00000984318,0.000016693493],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987947,0.00026356542,0.00035530387,0.00016157569,0.00028283443,0.00014205658],"domain_scores_gemma":[0.99897116,0.00064764696,0.00024354245,0.000062862695,0.000033445966,0.00004133971],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005110886,0.00009777884,0.00014826213,0.0003191624,0.000081929225,0.000056886387,0.000102979066,0.00004743785,0.0000052628016],"category_scores_gemma":[0.0005716375,0.00006508869,0.00004622787,0.00047831863,0.00007678377,0.00032201986,0.0000333031,0.0004125117,0.00000794004],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007709299,0.00030365612,0.066522345,0.000055340784,0.0000046903606,0.0022080983,0.0037857168,0.00026894858,0.8742833,0.00013482128,0.0017931423,0.049869012],"study_design_scores_gemma":[0.0007083393,0.00066571904,0.9881894,0.00016042437,0.0000052684545,0.00014532228,0.0005052429,0.0046964814,0.0011305441,0.0035035608,0.00019581079,0.00009387444],"about_ca_topic_score_codex":0.000014213069,"about_ca_topic_score_gemma":0.00011904672,"teacher_disagreement_score":0.9216671,"about_ca_system_score_codex":0.000039742103,"about_ca_system_score_gemma":0.000040304276,"threshold_uncertainty_score":0.26542395},"labels":[],"label_agreement":null},{"id":"W4386258892","doi":"10.1167/jov.23.9.4777","title":"Measuring competitive oscillatory activity in visual cortical populations using fMRI","year":2023,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Functional magnetic resonance imaging; Visual cortex; Receptive field; Neuroscience; Stimulus (psychology); Voxel; Physics; Electroencephalography; Visual field; Psychology; Artificial intelligence; Pattern recognition (psychology); Computer science; Cognitive psychology","score_opus":0.1222986877738779,"score_gpt":0.36208080720805874,"score_spread":0.23978211943418085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386258892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983023,0.0000038696785,0.0004641629,0.00029163936,0.0007381661,0.00005371787,0.0000015429706,0.000015569738,0.00012907412],"genre_scores_gemma":[0.9997277,0.0000136636945,0.00008183698,0.00005442389,0.00009391005,2.1369345e-7,2.294846e-7,0.000008385606,0.000019591318],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99892706,0.00017184236,0.00025345292,0.00012330948,0.00037697938,0.00014736316],"domain_scores_gemma":[0.99948174,0.00017508783,0.00017298906,0.000054156448,0.000052116655,0.00006388741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043003183,0.000066930595,0.0001391848,0.00029556867,0.00012995076,0.00003686162,0.0000689608,0.000039646555,0.000011923921],"category_scores_gemma":[0.0005381354,0.000056548415,0.00006924788,0.00049503864,0.000034033706,0.00033360242,0.000050336595,0.00029235106,0.000012158157],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000696451,0.00006936125,0.004162336,0.000004888266,0.0000010424445,0.000079618614,0.00004561994,0.0033889322,0.98995334,0.00050904014,0.000025717738,0.0016904649],"study_design_scores_gemma":[0.00046998553,0.0002742394,0.70817,0.00014242245,0.000008177993,0.00009734677,0.000069758215,0.26750085,0.022405813,0.0006573296,0.00010021211,0.00010384774],"about_ca_topic_score_codex":0.000006785108,"about_ca_topic_score_gemma":0.000009773958,"teacher_disagreement_score":0.96754754,"about_ca_system_score_codex":0.00011501533,"about_ca_system_score_gemma":0.000038757866,"threshold_uncertainty_score":0.23059775},"labels":[],"label_agreement":null},{"id":"W4386294925","doi":"10.3389/fnins.2023.1258393","title":"The dorsal lateral geniculate nucleus and the pulvinar as essential partners for visual cortical functions","year":2023,"lang":"en","type":"review","venue":"Frontiers in Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Neuroscience; Thalamus; Lateral geniculate nucleus; Visual cortex; Sensory system; Retinotopy; Visual system; Somatosensory system; Cortex (anatomy); Psychology; Receptive field","score_opus":0.04748523900123839,"score_gpt":0.3516143389798133,"score_spread":0.3041290999785749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386294925","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006240352,0.87818134,0.006313249,0.0032128242,0.0916624,0.012663414,0.00032843696,0.0006913656,0.00070660183],"genre_scores_gemma":[0.0015509825,0.99231327,0.00002681193,0.00055696256,0.0001872084,0.00047894762,0.000008395383,0.00007595769,0.004801448],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99635005,0.00063028134,0.000647601,0.0011242034,0.00048704984,0.00076084025],"domain_scores_gemma":[0.9976628,0.0014796577,0.00029311128,0.0004212829,0.00002662713,0.00011655395],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008785818,0.0004018868,0.00073092093,0.00018345723,0.0015043116,0.0006313436,0.0008640031,0.00016177745,0.000001794612],"category_scores_gemma":[0.0024517993,0.00021947021,0.000376912,0.0011227891,0.0019743927,0.00021809565,0.0003796791,0.0007222774,0.000020153895],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013284682,0.00034153982,0.000087694636,0.0032225817,0.000068356654,0.00043002077,0.00028822853,0.0002864555,0.0013609986,0.0518754,0.042328786,0.8983815],"study_design_scores_gemma":[0.00064358435,0.00018698491,0.00004767187,0.00028668912,0.00017119298,0.00015188141,0.000026405785,0.040413585,0.0000068620448,0.0019714462,0.9557392,0.000354526],"about_ca_topic_score_codex":0.0000138475825,"about_ca_topic_score_gemma":0.000008141843,"teacher_disagreement_score":0.91341037,"about_ca_system_score_codex":0.000074683754,"about_ca_system_score_gemma":0.00017292703,"threshold_uncertainty_score":0.9997956},"labels":[],"label_agreement":null},{"id":"W4386319152","doi":"10.1016/j.neuroimage.2023.120351","title":"Altered age-related alpha and gamma prefrontal-occipital connectivity serving distinct cognitive interference variants","year":2023,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; National Institute of General Medical Sciences; National Institute on Drug Abuse; National Institute on Aging; National Institutes of Health","keywords":"Psychology; Magnetoencephalography; Cognition; Temporoparietal junction; Neuroscience; Stimulus (psychology); Prefrontal cortex; Cognitive psychology; Audiology; Electroencephalography; Medicine","score_opus":0.04089492539091528,"score_gpt":0.2720106400108413,"score_spread":0.23111571461992603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386319152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99380916,0.0000053700246,0.0003007678,0.00029614972,0.0010185526,0.00037240406,0.00013059416,0.00038687614,0.0036801365],"genre_scores_gemma":[0.9982294,0.000022828135,0.000009748393,0.00035724763,0.00005983929,0.000020256924,0.00002711432,0.000038268758,0.0012353072],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99803495,0.00025823136,0.0002465702,0.0008332225,0.00021587117,0.0004111544],"domain_scores_gemma":[0.9987494,0.0007356113,0.000117616466,0.00023208189,0.00003602857,0.00012928154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017549674,0.00023897138,0.00022372595,0.000099466684,0.00026436883,0.00019505076,0.0001982017,0.000067343644,0.000071647526],"category_scores_gemma":[0.0013254923,0.00022675184,0.00006031157,0.00048231988,0.00019787051,0.00046066358,0.0003895262,0.0003481782,0.00018425976],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014866472,0.00010286096,0.0029787777,0.00004691264,0.000010127423,0.0009674258,0.0004135374,0.0000066250927,0.9823113,0.00044270203,0.00025033616,0.012320743],"study_design_scores_gemma":[0.0013331065,0.0005279876,0.9135614,0.00010824752,0.00003486316,0.00023501663,0.00008575406,0.058598045,0.022461152,0.0025068005,0.000099379096,0.0004482242],"about_ca_topic_score_codex":0.000039139908,"about_ca_topic_score_gemma":0.000046867262,"teacher_disagreement_score":0.95985013,"about_ca_system_score_codex":0.000023183073,"about_ca_system_score_gemma":0.00001806469,"threshold_uncertainty_score":0.9246672},"labels":[],"label_agreement":null},{"id":"W4386347705","doi":"10.1111/ejn.16129","title":"Gamma‐patterned sensory stimulation reverses synaptic plasticity deficits in rat models of early Alzheimer's disease","year":2023,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Trinity College","funders":"Natural Science Foundation of Henan Province; Zhengzhou University; National Natural Science Foundation of China; China Scholarship Council; Science Foundation Ireland; Health Research Board","keywords":"Long-term potentiation; Stimulation; Neuroscience; Hippocampal formation; Hippocampus; Synaptic plasticity; Amyloid precursor protein; Alzheimer's disease; Sensory system; Genetically modified mouse; Sensory stimulation therapy; Psychology; Medicine; Transgene; Internal medicine; Biology; Disease; Receptor","score_opus":0.09190784890227109,"score_gpt":0.27627511861762527,"score_spread":0.18436726971535417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386347705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963279,0.00001531073,0.0020886702,0.000234408,0.00096207834,0.00013825885,0.000015629854,0.000035940724,0.0001818478],"genre_scores_gemma":[0.99936914,0.000070723574,0.00003353339,0.00035332254,0.000053960644,5.4954137e-7,3.9314205e-7,0.00002561087,0.00009274524],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973203,0.0006902042,0.0006426275,0.00037581852,0.00065793836,0.0003131273],"domain_scores_gemma":[0.99860436,0.00040539753,0.0005139442,0.0001841009,0.0000946538,0.00019755008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006299223,0.00016494961,0.0002217699,0.00045838548,0.000109582805,0.00007253838,0.00047503805,0.000015585301,0.0000044751773],"category_scores_gemma":[0.0013980973,0.00014408931,0.00010663959,0.001012032,0.00020965714,0.0007483407,0.00013171397,0.00027830893,0.000025334233],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022075875,0.00007021216,0.0010431369,0.000013501022,0.0000012960261,0.0012913776,0.000111595495,0.19527367,0.8007671,0.0002176958,0.00003571507,0.00095390214],"study_design_scores_gemma":[0.0008935183,0.00075028127,0.35634887,0.00018896507,0.000043826654,0.00013100285,0.000025282574,0.62538695,0.015354376,0.000533657,0.00007124384,0.00027202934],"about_ca_topic_score_codex":0.0000025128707,"about_ca_topic_score_gemma":8.68264e-7,"teacher_disagreement_score":0.7854128,"about_ca_system_score_codex":0.000022120277,"about_ca_system_score_gemma":0.00006306771,"threshold_uncertainty_score":0.58757913},"labels":[],"label_agreement":null},{"id":"W4386438682","doi":"10.1002/jmri.28997","title":"Editorial for “Associations of Brain Entropy Estimated by Resting State <scp>fMRI</scp> With Physiological Indices, Body Mass Index, and Cognition”","year":2023,"lang":"en","type":"letter","venue":"Journal of Magnetic Resonance Imaging","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary","funders":"","keywords":"Library science; Citation; Psychology; Medicine; Computer science","score_opus":0.02122360447903707,"score_gpt":0.26716865245158367,"score_spread":0.2459450479725466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386438682","genre_codex":"empirical","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57016486,0.004835888,0.0069406177,0.32876095,0.076760486,0.0046709445,0.007050165,0.0004446636,0.00037141325],"genre_scores_gemma":[0.29404712,0.00539605,0.015234214,0.3648349,0.30452397,0.0005153144,0.0017282288,0.0013988578,0.01232134],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99715465,0.00024120844,0.00078540435,0.00043186377,0.0008968186,0.0004900712],"domain_scores_gemma":[0.9938921,0.003758837,0.001725006,0.00013569617,0.00040888353,0.000079515004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055174733,0.00030324707,0.0005680955,0.00025553652,0.00021674768,0.00019735376,0.00029353716,0.00020348685,0.000003939068],"category_scores_gemma":[0.0050686672,0.00024148688,0.000119925855,0.0003766581,0.00025601036,0.00028322524,0.00006370595,0.0013739389,0.0000014181448],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006370346,0.000029921825,0.0012785449,0.000089593865,0.000010605591,0.00012036127,0.000036777106,0.000056601726,0.12493378,0.0000048483184,0.8712881,0.0020871302],"study_design_scores_gemma":[0.010346141,0.004475473,0.04433911,0.0027177215,0.0004993039,0.0004448619,0.00013765269,0.049797717,0.0070797517,0.012925895,0.8663936,0.00084272213],"about_ca_topic_score_codex":0.000016449,"about_ca_topic_score_gemma":0.0000012519621,"teacher_disagreement_score":0.27611774,"about_ca_system_score_codex":0.00007441394,"about_ca_system_score_gemma":0.00014602086,"threshold_uncertainty_score":0.9847549},"labels":[],"label_agreement":null},{"id":"W4386446387","doi":"10.1101/2023.09.01.555947","title":"Tauopathy severely disrupts homeostatic set-points in emergent neural dynamics but not in the activity of individual neurons","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Advanced Research; BrightFocus Foundation; National Institutes of Health; National Science Foundation","keywords":"Tauopathy; Neuroscience; Set (abstract data type); Dynamics (music); Neural activity; Homeostasis; Cognitive science; Computer science; Biology; Psychology; Medicine; Cell biology; Neurodegeneration; Disease; Internal medicine","score_opus":0.04470147632960576,"score_gpt":0.2579488939356618,"score_spread":0.21324741760605603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386446387","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99324054,0.000018729177,0.00010992845,0.0013106215,0.0022360983,0.0012089539,0.0017152189,0.00015731854,0.000002578598],"genre_scores_gemma":[0.998764,0.00014448703,0.000072671006,0.00059281726,0.000090503025,0.00020407047,0.000001583379,0.00012331469,0.0000065836753],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9951241,0.0009191818,0.0008268756,0.0013575092,0.0010043469,0.00076796545],"domain_scores_gemma":[0.9972196,0.0006320695,0.00065532175,0.0012466325,0.000101769976,0.00014455718],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012308817,0.000618268,0.0006779521,0.0006499056,0.00014285262,0.00020002277,0.001360441,0.0003481283,0.000009825014],"category_scores_gemma":[0.0013340508,0.00056084356,0.00020056768,0.0016298726,0.0002112772,0.00026494943,0.0010421448,0.0017202465,0.000027547725],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038588687,0.0011099845,0.035234567,0.001042454,0.000049196187,0.001104698,0.00028028508,0.006732312,0.9522278,0.0016133484,0.00016062957,0.00005889281],"study_design_scores_gemma":[0.0006229525,0.00014385997,0.87040365,0.00020680515,0.000052665375,1.568494e-7,0.00001993349,0.078201935,0.04962157,0.000024479514,0.000028749695,0.000673224],"about_ca_topic_score_codex":0.00033797036,"about_ca_topic_score_gemma":0.00019910462,"teacher_disagreement_score":0.9026062,"about_ca_system_score_codex":0.00028655698,"about_ca_system_score_gemma":0.0002887535,"threshold_uncertainty_score":0.99968433},"labels":[],"label_agreement":null},{"id":"W4386494643","doi":"10.1113/jp283728","title":"Adaptive spike threshold dynamics associated with sparse spiking of hilar mossy cells are captured by a simple model","year":2023,"lang":"en","type":"article","venue":"The Journal of Physiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"General Dynamics (Canada); University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Krembil Foundation","keywords":"Spike (software development); Dynamics (music); Simple (philosophy); Neuroscience; Biological system; Computer science; Chemistry; Biophysics; Biology; Physics","score_opus":0.03545218269743119,"score_gpt":0.24142969822529903,"score_spread":0.20597751552786783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386494643","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99825263,0.000014172885,0.0008179879,0.00041743537,0.00017749188,0.00012631687,0.000109071094,0.000017431463,0.00006746061],"genre_scores_gemma":[0.9992821,0.00006311018,0.000015365193,0.00040174826,0.000039719664,0.0000013336747,0.000007113009,0.000021494423,0.00016799427],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99881107,0.00017677339,0.00031708012,0.00015554283,0.00026820332,0.0002713064],"domain_scores_gemma":[0.9984841,0.00033615346,0.000841525,0.00018099947,0.00010678475,0.00005047545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033050496,0.0001473366,0.00034107335,0.00008711694,0.00011646967,0.000008845438,0.00033881748,0.00007789173,0.000007888996],"category_scores_gemma":[0.00011260892,0.0000876049,0.00009382555,0.0003998483,0.0001767937,0.00011224299,0.00008041145,0.00037232044,0.0000036607248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027121248,0.000054782442,0.000034624765,0.0000052291703,0.000021568116,0.0000099419185,0.00011954489,0.19194148,0.80610967,0.00028503189,0.0011196912,0.000027197575],"study_design_scores_gemma":[0.00064219564,0.0007220443,0.002161273,0.00004967607,0.00006547575,0.00002283735,0.0002578136,0.8913889,0.09297652,0.011558768,0.000016588938,0.00013790125],"about_ca_topic_score_codex":0.000015942727,"about_ca_topic_score_gemma":0.000043781645,"teacher_disagreement_score":0.71313316,"about_ca_system_score_codex":0.00006631564,"about_ca_system_score_gemma":0.00004625169,"threshold_uncertainty_score":0.3572424},"labels":[],"label_agreement":null},{"id":"W4386502139","doi":"10.31234/osf.io/cte2q","title":"The Fundamental Tension in Integrated Information Theory 4.0’s Realist Idealism","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agencia Nacional de Investigación y Desarrollo; Azrieli Foundation; Fonds De La Recherche Scientifique - FNRS","keywords":"Epistemology; Ontology; Idealism; Consciousness; Qualia; Reductionism; Realism; Eliminative materialism; Philosophy; Metaphysics; Critical realism (philosophy of perception); Focus (optics); Physics","score_opus":0.04362501257396283,"score_gpt":0.2742045246357715,"score_spread":0.23057951206180866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386502139","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8959946,0.000045402696,0.009223579,0.024320152,0.021041673,0.0041769524,0.00071042124,0.002106064,0.042381164],"genre_scores_gemma":[0.99132407,0.00038410394,0.000047045974,0.002694978,0.00006542118,0.00009062062,0.00034164754,0.000026259313,0.005025878],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982982,0.00029252633,0.00047372785,0.00033332952,0.00033751727,0.0002646435],"domain_scores_gemma":[0.9986591,0.00061895075,0.00021005534,0.00041687646,0.000051104213,0.000043962977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007453133,0.00021064097,0.00016353039,0.00019711103,0.00023635724,0.00041000845,0.00037922923,0.00018315815,0.000024491837],"category_scores_gemma":[0.00095568324,0.00012672319,0.000087040935,0.0003268594,0.00011942734,0.00018731476,0.0006314067,0.0007289092,0.00019542976],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052899076,0.000058349728,0.00039246952,0.00012425413,0.000015141508,0.000054004242,0.0008572102,0.003123632,0.050059516,0.86415404,0.025049176,0.05558321],"study_design_scores_gemma":[0.0010416294,0.00017425064,0.016660165,0.00043575795,0.000026674328,0.00004724805,0.0021532355,0.2643496,0.010302289,0.6622763,0.04147519,0.0010576281],"about_ca_topic_score_codex":0.0011688727,"about_ca_topic_score_gemma":0.00078702107,"teacher_disagreement_score":0.26122597,"about_ca_system_score_codex":0.00018168744,"about_ca_system_score_gemma":0.000059064005,"threshold_uncertainty_score":0.51676214},"labels":[],"label_agreement":null},{"id":"W4386506875","doi":"10.1016/j.isci.2023.107847","title":"Short-term auditory priming in freely-moving mice","year":2023,"lang":"en","type":"article","venue":"iScience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Azrieli Foundation; Israel Science Foundation; International Development Research Centre","keywords":"Response priming; Priming (agriculture); Stimulus (psychology); Neuroscience; Psychology; Negative priming; Subliminal stimuli; Cognition; Cognitive psychology; Repetition priming; Lexical decision task; Selective attention; Biology","score_opus":0.04739226480278972,"score_gpt":0.2840651737050354,"score_spread":0.2366729089022457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386506875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951313,0.000009608554,0.00013691079,0.00037236427,0.0016721592,0.00011051866,0.0000030328965,0.00015314037,0.0024109723],"genre_scores_gemma":[0.9984339,0.00002587895,0.000045545366,0.00033617578,0.00011414047,0.000010557597,7.2027467e-7,0.000008829407,0.0010242605],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99862427,0.000045062945,0.00015641424,0.00047483266,0.00033043107,0.00036901637],"domain_scores_gemma":[0.9994843,0.00021937201,0.00003543023,0.000189255,0.000011702884,0.000059927985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033432106,0.00009060809,0.00008369138,0.00020020244,0.00019823035,0.00008417859,0.00038242748,0.00003436038,0.000012454814],"category_scores_gemma":[0.00044186806,0.00008369631,0.000030857795,0.0011762707,0.00013609392,0.00038814964,0.00017142293,0.00014956061,0.0001758957],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024717829,0.000011626648,0.0043430375,0.0000068863155,1.2083048e-7,0.0000614401,0.00016109471,0.00028856652,0.9780841,0.00046160357,0.00022837942,0.0163507],"study_design_scores_gemma":[0.0002669614,0.00009796481,0.6851292,0.000115689574,0.0000037820444,0.00005378373,0.0001877499,0.12816383,0.17957504,0.0015192882,0.0043489365,0.000537717],"about_ca_topic_score_codex":0.000016322218,"about_ca_topic_score_gemma":0.0000389615,"teacher_disagreement_score":0.798509,"about_ca_system_score_codex":0.00005521693,"about_ca_system_score_gemma":0.000033689295,"threshold_uncertainty_score":0.34130362},"labels":[],"label_agreement":null},{"id":"W4386533789","doi":"10.1371/journal.pcbi.1011427","title":"A whole-task brain model of associative recognition that accounts for human behavior and neuroimaging data","year":2023,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; University of Waterloo","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Nvidia","keywords":"Neuroscience; Brain activity and meditation; Neuroimaging; Prefrontal cortex; Functional magnetic resonance imaging; Cognition; Associative property; Psychology; Human brain; Electroencephalography; Computer science; Stimulus (psychology); Cognitive psychology","score_opus":0.2651542267940771,"score_gpt":0.36330497461863287,"score_spread":0.0981507478245558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386533789","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98909897,0.0000024161254,0.005360213,0.0014746824,0.00009674695,0.00032472596,0.0035501292,0.00005960865,0.000032532527],"genre_scores_gemma":[0.99599904,0.0000034750503,0.00061363116,0.00084491493,0.00003174172,0.000041059593,0.002400882,0.000011774012,0.000053460593],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912196,0.00008034312,0.0001576203,0.0003894512,0.000105972016,0.00014467082],"domain_scores_gemma":[0.99862826,0.0010328662,0.00014366026,0.00010208745,0.00006900424,0.000024152541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016201088,0.000082675775,0.00012910168,0.000114762566,0.0001472577,0.000022165774,0.00015269361,0.00004500193,0.0000025061875],"category_scores_gemma":[0.00047347418,0.00008058869,0.000023730052,0.00013673447,0.000090193746,0.00017347929,0.00016029121,0.00007376223,0.0000076837805],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025980942,0.000086320695,0.0033703481,0.000022489823,0.000010182777,0.0000015280606,0.00009083114,0.0010828642,0.98586583,0.0022749146,0.0005624046,0.006606281],"study_design_scores_gemma":[0.00042955988,0.000100388716,0.013716462,0.000009605968,0.000020038298,0.000003034211,0.000014876878,0.90705305,0.0020661473,0.076453194,0.000035056688,0.00009860225],"about_ca_topic_score_codex":0.000004561847,"about_ca_topic_score_gemma":0.0000038808816,"teacher_disagreement_score":0.9837997,"about_ca_system_score_codex":0.000013816325,"about_ca_system_score_gemma":0.000021704276,"threshold_uncertainty_score":0.32863113},"labels":[],"label_agreement":null},{"id":"W4386609900","doi":"10.1038/s41593-023-01425-1","title":"Interoceptive rhythms in the brain","year":2023,"lang":"en","type":"review","venue":"Nature Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":207,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agence Nationale de la Recherche; Hôpitaux Universitaires de Genève; European Commission; Canadian Institute for Advanced Research","keywords":"Interoception; Neuroscience; Sensory system; Cognition; Perception; Psychology; Multisensory integration; Rhythm; Neuroimaging; Medicine","score_opus":0.0915891762257612,"score_gpt":0.3798564843827583,"score_spread":0.28826730815699714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386609900","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00016070445,0.9808719,0.000039384446,0.0028304406,0.009850845,0.0026869676,0.00016492562,0.00038600352,0.0030088155],"genre_scores_gemma":[0.0006027296,0.9851142,0.0000035184107,0.012122053,0.00023681117,0.0001342489,0.0000065999134,0.000059465467,0.0017203423],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99598557,0.00073821546,0.0004909793,0.0013637184,0.00083321874,0.000588309],"domain_scores_gemma":[0.99663365,0.0023092697,0.00030711503,0.00065978494,0.000020792297,0.000069365764],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0007337171,0.00045794572,0.0007138514,0.0004634348,0.0002491238,0.00029427194,0.0019821844,0.00048274972,0.000007035339],"category_scores_gemma":[0.005581947,0.00026623614,0.00032872855,0.004303861,0.00032410756,0.00025267256,0.0003252838,0.0033124068,0.00020445896],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012301789,0.00015571059,0.000001596883,0.0034859953,0.0000022283145,0.0014421802,0.00028023028,0.000013718674,0.0018551762,0.016842177,0.015184766,0.96072394],"study_design_scores_gemma":[0.00006403985,0.00008996234,0.00002148628,0.0014566581,0.00001760097,0.00036592802,0.000011852824,0.0002657247,0.000016007569,0.00047717753,0.9969302,0.0002833534],"about_ca_topic_score_codex":0.0000037973675,"about_ca_topic_score_gemma":0.00001807459,"teacher_disagreement_score":0.9817454,"about_ca_system_score_codex":0.000085256164,"about_ca_system_score_gemma":0.00013536803,"threshold_uncertainty_score":0.99997896},"labels":[],"label_agreement":null},{"id":"W4386646755","doi":"10.7554/elife.88683","title":"Spectrally and temporally resolved estimation of neural signal diversity","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research; McGill University; Montreal Neurological Institute and Hospital","funders":"Gates Cambridge Trust; University of Kent; Cambridge Trust; Wellcome Trust","keywords":"Estimator; Computer science; Leverage (statistics); Entropy (arrow of time); Complexity index; Consciousness; Cognition; Computational complexity theory; Artificial intelligence; Theoretical computer science; Algorithm; Mathematics; Psychology; Statistics; Physics","score_opus":0.06642566686670896,"score_gpt":0.26851051329330794,"score_spread":0.20208484642659896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386646755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99158126,0.000005523972,0.0049682376,0.0011432949,0.00058674865,0.00036305145,0.000060279428,0.00020860836,0.0010829787],"genre_scores_gemma":[0.9975188,0.000030029176,0.00066399615,0.00021015338,0.000038038917,0.0000035849257,0.00002312184,0.000015475704,0.0014968279],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99867004,0.000074585856,0.00024782674,0.00052513083,0.00032242923,0.000159988],"domain_scores_gemma":[0.9993232,0.00017359664,0.00019492557,0.00022345514,0.00003430084,0.000050557323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016871009,0.0001704615,0.00022252247,0.00013525797,0.00015047535,0.000061223385,0.0002379741,0.00012598341,0.000041670937],"category_scores_gemma":[0.00015213274,0.00015384947,0.00008452598,0.00013097367,0.00010801934,0.000109200155,0.0016814503,0.00030937657,0.0000105286745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077910937,0.00037235933,0.021259366,0.0015022622,0.00007212705,0.00033220914,0.00096693094,0.14379932,0.7737685,0.019830786,0.007219458,0.030097608],"study_design_scores_gemma":[0.00037085457,0.00023361157,0.041921802,0.00007210494,0.000039682247,0.000011836029,0.00002011616,0.89792156,0.028376834,0.03064067,0.000024055076,0.0003668535],"about_ca_topic_score_codex":0.00030415325,"about_ca_topic_score_gemma":0.000053541313,"teacher_disagreement_score":0.75412226,"about_ca_system_score_codex":0.000028125161,"about_ca_system_score_gemma":0.00003467151,"threshold_uncertainty_score":0.62737995},"labels":[],"label_agreement":null},{"id":"W4386648346","doi":"10.7554/elife.88683.1","title":"Spectrally and temporally resolved estimation of neural signal diversity","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research; McGill University; Montreal Neurological Institute and Hospital","funders":"Gates Cambridge Trust; University of Kent; Cambridge Trust; Wellcome Trust","keywords":"Estimator; Computer science; Leverage (statistics); Entropy (arrow of time); Complexity index; Consciousness; Cognition; Computational complexity theory; Artificial intelligence; Theoretical computer science; Algorithm; Mathematics; Psychology; Statistics; Physics","score_opus":0.06642566686670896,"score_gpt":0.26851051329330794,"score_spread":0.20208484642659896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386648346","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99158126,0.000005523972,0.0049682376,0.0011432949,0.00058674865,0.00036305145,0.000060279428,0.00020860836,0.0010829787],"genre_scores_gemma":[0.9975188,0.000030029176,0.00066399615,0.00021015338,0.000038038917,0.0000035849257,0.00002312184,0.000015475704,0.0014968279],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99867004,0.000074585856,0.00024782674,0.00052513083,0.00032242923,0.000159988],"domain_scores_gemma":[0.9993232,0.00017359664,0.00019492557,0.00022345514,0.00003430084,0.000050557323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016871009,0.0001704615,0.00022252247,0.00013525797,0.00015047535,0.000061223385,0.0002379741,0.00012598341,0.000041670937],"category_scores_gemma":[0.00015213274,0.00015384947,0.00008452598,0.00013097367,0.00010801934,0.000109200155,0.0016814503,0.00030937657,0.0000105286745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077910937,0.00037235933,0.021259366,0.0015022622,0.00007212705,0.00033220914,0.00096693094,0.14379932,0.7737685,0.019830786,0.007219458,0.030097608],"study_design_scores_gemma":[0.00037085457,0.00023361157,0.041921802,0.00007210494,0.000039682247,0.000011836029,0.00002011616,0.89792156,0.028376834,0.03064067,0.000024055076,0.0003668535],"about_ca_topic_score_codex":0.00030415325,"about_ca_topic_score_gemma":0.000053541313,"teacher_disagreement_score":0.75412226,"about_ca_system_score_codex":0.000028125161,"about_ca_system_score_gemma":0.00003467151,"threshold_uncertainty_score":0.62737995},"labels":[],"label_agreement":null},{"id":"W4386697433","doi":"10.1101/2023.09.13.557619","title":"Changes in functional connectivity preserve scale-free neuronal and behavioral dynamics","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hotchkiss Brain Institute; University of Lethbridge; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Branch Out Neurological Foundation; Alberta Innovates; Killam Trusts","keywords":"Neuroscience; Functional connectivity; Information transmission; Network dynamics; Dynamic functional connectivity; Consciousness; Biological neural network; Resting state fMRI; Robustness (evolution); Nerve net; Information flow; Dynamics (music); Computer science; Biology; Psychology; Mathematics","score_opus":0.04564135097620726,"score_gpt":0.24806366508272873,"score_spread":0.20242231410652148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386697433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99298453,0.00003801543,0.0002542592,0.0015571566,0.0028407262,0.0007592172,0.0010844668,0.00047551596,0.000006085925],"genre_scores_gemma":[0.9986193,0.00016961448,0.00015742872,0.00029192158,0.00032304644,0.00026341257,0.0000013861047,0.00013797052,0.000035916237],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9964631,0.00027538947,0.00039625485,0.0016559558,0.00058307784,0.0006261768],"domain_scores_gemma":[0.9979585,0.00030842103,0.00028906332,0.0010698347,0.00014392735,0.00023029494],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00051397766,0.00054275076,0.0004972234,0.00046926193,0.00021372827,0.0002971686,0.0005911293,0.00046143006,0.000025948384],"category_scores_gemma":[0.00066537835,0.0006019133,0.00010651376,0.00065405376,0.00024382285,0.00024152194,0.0016588153,0.0011976121,0.00002422567],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001456841,0.0003760705,0.085089475,0.0003193128,0.000016534541,0.00018167119,0.000008078325,0.00041160194,0.9107077,0.0024189577,0.00031141686,0.0000134880665],"study_design_scores_gemma":[0.0008522139,0.00017266581,0.902373,0.00021107626,0.00005067512,1.2581674e-7,0.0000028679467,0.029633526,0.06557445,0.000095282325,0.00019191808,0.00084218825],"about_ca_topic_score_codex":0.00022827343,"about_ca_topic_score_gemma":0.0010506946,"teacher_disagreement_score":0.84513324,"about_ca_system_score_codex":0.00032467587,"about_ca_system_score_gemma":0.00020418061,"threshold_uncertainty_score":0.9996432},"labels":[],"label_agreement":null},{"id":"W4386716721","doi":"10.1007/978-3-031-42505-9_3","title":"Reinforcement Learning with Brain-Inspired Modulation Improves Adaptation to Environmental Changes","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge; Mount Royal University","funders":"","keywords":"Reinforcement learning; Computer science; Adaptation (eye); Artificial intelligence; Machine learning; Contrast (vision); Neuroscience","score_opus":0.023954010679723112,"score_gpt":0.22358995839151494,"score_spread":0.19963594771179183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386716721","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013753174,0.0000058621863,0.98213214,0.0017948899,0.0008977261,0.0007434306,0.0000051331417,0.0001698673,0.0004977531],"genre_scores_gemma":[0.9904159,0.000018666984,0.00335653,0.0024497975,0.00023512624,0.000020445865,0.000021986512,0.000049497034,0.0034321079],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975558,0.000024448296,0.00022539322,0.0010201432,0.0007996802,0.00037454764],"domain_scores_gemma":[0.9990671,0.00030862252,0.00019098127,0.0003080773,0.000024350395,0.000100863326],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002532493,0.00031146244,0.00021448047,0.000519284,0.00029515047,0.00018432077,0.00037680968,0.00011861929,0.00001328943],"category_scores_gemma":[0.00013361081,0.00026648864,0.000038880135,0.00033057772,0.00022483186,0.00022005827,0.00027505486,0.0003830209,0.000055875335],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002292278,0.0000047764192,0.000007722479,0.000009991049,0.0000015600239,0.000015153155,0.00043634718,0.60786986,0.0944892,0.00047299222,0.0000020248929,0.29666746],"study_design_scores_gemma":[0.00019878687,0.00089317595,0.00039926625,0.00014214664,0.000004889691,0.000014324995,0.0000010892629,0.98355544,0.010790082,0.0030455189,0.0005606119,0.00039466686],"about_ca_topic_score_codex":0.000016843316,"about_ca_topic_score_gemma":0.000117680276,"teacher_disagreement_score":0.9787756,"about_ca_system_score_codex":0.00025523797,"about_ca_system_score_gemma":0.00006134659,"threshold_uncertainty_score":0.9999787},"labels":[],"label_agreement":null},{"id":"W4386768249","doi":"10.22541/au.169479365.55311793/v1","title":"Predicting Fast Visual Discrimination Through Slow Theta Oscillation of Visual ERPs","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Electroencephalography; Psychology; Event-related potential; Context (archaeology); Visual processing; Oscillation (cell signaling); Visual cortex; Pattern recognition (psychology); Visual perception; Neuroscience; Principal component analysis; Audiology; Artificial intelligence; Cognitive psychology; Perception; Computer science; Biology","score_opus":0.06383289797164511,"score_gpt":0.3282344091445063,"score_spread":0.2644015111728612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386768249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97078925,0.0000067317183,0.01514514,0.000697268,0.0034523595,0.00069625274,0.00009227856,0.00045784868,0.008662877],"genre_scores_gemma":[0.99288565,0.00008341117,0.00015080991,0.00012676441,0.00029342092,0.000032849217,0.00013924864,0.00005715019,0.00623071],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973937,0.00017078943,0.0005800757,0.00086272275,0.00070560136,0.00028706796],"domain_scores_gemma":[0.9986254,0.00040721984,0.0005026266,0.00030507852,0.00011137786,0.00004829532],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002911534,0.00029957225,0.00032951217,0.00018362103,0.00017344952,0.00012689746,0.00027205923,0.00025832743,0.000051252264],"category_scores_gemma":[0.0007200968,0.00025676406,0.00019031132,0.00034024887,0.00010754907,0.00034299193,0.00073284877,0.00045748526,0.00004406522],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021307437,0.00066599896,0.01063175,0.0010655912,0.00006123933,0.000022397317,0.0022516667,0.025954653,0.91303456,0.02291465,0.0012645074,0.021919895],"study_design_scores_gemma":[0.00036954542,0.00035807557,0.01465147,0.00027666593,0.00007246227,0.000008431117,0.00033055863,0.87441283,0.09232209,0.016556239,0.00014105813,0.0005005536],"about_ca_topic_score_codex":0.00030402048,"about_ca_topic_score_gemma":0.00008508153,"teacher_disagreement_score":0.84845823,"about_ca_system_score_codex":0.00008653814,"about_ca_system_score_gemma":0.000071717914,"threshold_uncertainty_score":0.99998844},"labels":[],"label_agreement":null},{"id":"W4386796652","doi":"10.1101/2023.09.15.557976","title":"Mapping the Changing Neural Architecture of Narrative Processing Using Naturalistic Stimuli: an fMRI Study","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Narrative; Narrative network; Functional magnetic resonance imaging; Psychology; Precuneus; Cognitive psychology; Narrative criticism; Angular gyrus; Semantic memory; Intraparietal sulcus; Parahippocampal gyrus; Narrative art; Neural correlates of consciousness; Neuroscience; Cognitive science; Narrative inquiry; Cognition; Temporal lobe; Linguistics; History","score_opus":0.06727356139982905,"score_gpt":0.28121826115090426,"score_spread":0.21394469975107522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386796652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99328613,0.000101483296,0.0022100946,0.00032520312,0.0019491289,0.0015891944,0.00009543234,0.00044229228,0.0000010517982],"genre_scores_gemma":[0.99851483,0.0000079626325,0.00047629976,0.00025689258,0.00047708605,0.00009951531,3.188206e-7,0.00016049876,0.00000662421],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.995928,0.00060859387,0.00064950384,0.0013812808,0.0007210803,0.000711553],"domain_scores_gemma":[0.99732745,0.00032082625,0.00081131916,0.0010501458,0.00033683772,0.00015342933],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008095521,0.00062640134,0.00060228375,0.0006468639,0.00085368316,0.00041822201,0.00096030545,0.00025565134,0.000006213667],"category_scores_gemma":[0.001084943,0.00049601676,0.00015404135,0.0019199707,0.00020584375,0.00027514505,0.00086171454,0.0014529597,0.0000034760449],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045631976,0.00016748013,0.0012445281,0.00036057233,0.00003737812,0.000097553246,0.0015036988,0.018016692,0.9784205,0.000087675435,0.0000047930585,0.000013496227],"study_design_scores_gemma":[0.0012479897,0.00053072383,0.08646197,0.0016356707,0.00029540408,5.4189985e-7,0.0018363335,0.744746,0.16080594,0.000048521913,0.00006648745,0.002324357],"about_ca_topic_score_codex":0.00006785096,"about_ca_topic_score_gemma":0.000007602611,"teacher_disagreement_score":0.81761456,"about_ca_system_score_codex":0.00017541944,"about_ca_system_score_gemma":0.00027655717,"threshold_uncertainty_score":0.9997491},"labels":[],"label_agreement":null},{"id":"W4386823232","doi":"10.2139/ssrn.4568527","title":"Representational Drift Enables the Temporal Integration of Experiences in ACC Ensemble Activity","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Computer science","score_opus":0.05516765220315356,"score_gpt":0.3114816371475469,"score_spread":0.25631398494439334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386823232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915831,0.00009762429,0.0047845957,0.001917688,0.0010952714,0.0002820458,0.000006829369,0.000029346533,0.00020346807],"genre_scores_gemma":[0.99694306,0.0014256398,0.00001959505,0.000053001553,0.0002088937,0.00006001076,0.000008104778,0.000020991936,0.0012607024],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972793,0.0003943555,0.0004207524,0.00043548658,0.00055024045,0.0009198588],"domain_scores_gemma":[0.99871475,0.00037694103,0.0005388976,0.00026768952,0.0000682256,0.000033482153],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0015776365,0.00019673086,0.00024147917,0.00023053121,0.00020587005,0.00012903179,0.00054729707,0.00013691832,0.000013810628],"category_scores_gemma":[0.0006887576,0.00013479039,0.00016244348,0.00036591964,0.00013372602,0.00025933713,0.00023869675,0.002897154,0.0000052568735],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077089947,0.00046584572,0.00718703,0.000075038646,0.00009561649,0.000043214764,0.008440024,0.01113039,0.77101666,0.1442271,0.00046415647,0.056084003],"study_design_scores_gemma":[0.0006490516,0.00041272154,0.00931783,0.00019026252,0.000030359044,0.00027098443,0.015505807,0.023997243,0.115949795,0.8330808,0.00012389637,0.00047124564],"about_ca_topic_score_codex":0.0006649561,"about_ca_topic_score_gemma":0.0039582173,"teacher_disagreement_score":0.6888537,"about_ca_system_score_codex":0.0004118147,"about_ca_system_score_gemma":0.0015896069,"threshold_uncertainty_score":0.9994032},"labels":[],"label_agreement":null},{"id":"W4386828252","doi":"10.1038/s42003-023-05328-6","title":"Positive and biphasic extracellular waveforms correspond to return currents and axonal spikes","year":2023,"lang":"en","type":"article","venue":"Communications Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Azrieli Foundation; Israel Science Foundation; United States-Israel Binational Science Foundation; Rosetrees Trust; International Development Research Centre","keywords":"Extracellular; Waveform; Neuroscience; Physics; Biophysics; Chemistry; Psychology; Biology; Voltage; Biochemistry","score_opus":0.06699382626238497,"score_gpt":0.3276380169774759,"score_spread":0.26064419071509093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386828252","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939233,0.0003531888,0.00022964842,0.004415373,0.00021005199,0.0002170335,0.00008282315,0.00006800161,0.0005005916],"genre_scores_gemma":[0.99757975,0.001013236,0.00017757372,0.00046170698,0.000016241083,0.000028319922,0.00008219498,0.0000076082492,0.000633342],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992668,0.00015566093,0.00013120697,0.0002398025,0.000042744738,0.00016376861],"domain_scores_gemma":[0.9988922,0.00050012756,0.000043447104,0.00046686028,0.000026158887,0.00007120437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015591389,0.00008455015,0.00009912086,0.00015579475,0.0003123792,0.00003135191,0.00029689036,0.000054758366,0.000010051081],"category_scores_gemma":[0.00030194267,0.000069360394,0.00001767278,0.00036769395,0.00028223463,0.000069226815,0.00052808895,0.0001434802,0.000056529076],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043507047,0.00003540931,0.0080850925,0.0000061716196,0.0000038376893,0.000003251039,0.00034068344,0.0000023690095,0.88709635,0.030561995,0.0004225207,0.07339882],"study_design_scores_gemma":[0.0026670964,0.0023173392,0.26465377,0.00019112404,0.00008013715,0.0005305716,0.0008962133,0.19236894,0.07135981,0.06812474,0.3951547,0.0016555232],"about_ca_topic_score_codex":0.0000126637615,"about_ca_topic_score_gemma":0.000022209786,"teacher_disagreement_score":0.81573653,"about_ca_system_score_codex":0.000013436883,"about_ca_system_score_gemma":0.000011009178,"threshold_uncertainty_score":0.2828435},"labels":[],"label_agreement":null},{"id":"W4386847711","doi":"10.7554/elife.89369","title":"The information bottleneck as a principle underlying multi-area cortical representations during decision-making","year":2023,"lang":"en","type":"preprint","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; Natural Sciences and Engineering Research Council of Canada; Hellman Foundation; National Science Foundation; National Institutes of Health; Nvidia","keywords":"Computer science; Task (project management); Premotor cortex; Dorsolateral prefrontal cortex; Artificial intelligence; Representation (politics); Perception; Bottleneck; Neuroscience; Prefrontal cortex; Cognition; Machine learning; Psychology; Dorsum; Biology","score_opus":0.10946921012511733,"score_gpt":0.3811136594136807,"score_spread":0.27164444928856335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386847711","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.971345,0.000015664658,0.023085326,0.0008632497,0.002982662,0.0007405656,0.00004313225,0.00041264432,0.0005117619],"genre_scores_gemma":[0.9977124,0.00022823736,0.0006966312,0.00043700708,0.00009260945,0.00013844618,0.000019388075,0.000033648954,0.000641632],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976425,0.00012848407,0.000613316,0.00048690598,0.00076410215,0.00036465263],"domain_scores_gemma":[0.9968537,0.0019245344,0.00032953237,0.00068584766,0.000113257214,0.0000931326],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0003792579,0.0002219979,0.00018158545,0.00016233423,0.0012295719,0.00067423825,0.00039971262,0.00016358725,0.000020486426],"category_scores_gemma":[0.009805566,0.00017353758,0.00015243154,0.00031073007,0.00009064541,0.0003580196,0.0011819991,0.00080023817,0.0004605951],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015755458,0.0006913815,0.017740453,0.0011111217,0.00030862028,0.000827763,0.008380412,0.625377,0.17664152,0.07920722,0.006152311,0.08198666],"study_design_scores_gemma":[0.0009154315,0.00007093849,0.22446936,0.0008137106,0.00005745268,0.0001243026,0.0006193736,0.75034297,0.005188975,0.012168325,0.0043877144,0.00084145553],"about_ca_topic_score_codex":0.000035477246,"about_ca_topic_score_gemma":0.00006775198,"teacher_disagreement_score":0.2067289,"about_ca_system_score_codex":0.00015086686,"about_ca_system_score_gemma":0.00013650542,"threshold_uncertainty_score":0.9985353},"labels":[],"label_agreement":null},{"id":"W4386898394","doi":"10.1016/j.tics.2023.08.015","title":"Musical synchrony, dynamical systems and information processing: Merger or redundancy?","year":2023,"lang":"en","type":"review","venue":"Trends in Cognitive Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Musical; Psychology; Interpersonal communication; Redundancy (engineering); Scopus; Cognitive psychology; Perception; Dynamics (music); Cognitive science; Communication; Computer science; Neuroscience; MEDLINE","score_opus":0.2827457664366396,"score_gpt":0.44152587895482387,"score_spread":0.15878011251818425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386898394","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023621772,0.9663516,0.00023275049,0.0005033265,0.0054541584,0.0024374642,0.00078246655,0.00071335793,0.02116265],"genre_scores_gemma":[0.012176745,0.98565555,0.000019428822,0.000118117314,0.00014632959,0.00022263228,0.00006809513,0.000027709162,0.0015653948],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971059,0.00029246355,0.0007122138,0.00080209284,0.0006307435,0.00045656553],"domain_scores_gemma":[0.9982889,0.00103467,0.00040264375,0.00011538915,0.000054518907,0.00010387147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007107466,0.00036695506,0.0008182083,0.0011741103,0.00036320553,0.00054664176,0.00034601556,0.00021047729,0.000045851477],"category_scores_gemma":[0.00132819,0.00023188248,0.00011316454,0.003821506,0.000938342,0.0013324644,0.0001972722,0.00043305845,0.00007748168],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010507775,0.000025462445,0.000001913151,0.0019985223,0.000003730351,0.000026536956,0.00006728169,0.00000332476,0.0000032328094,0.00094079884,0.00008174777,0.99683696],"study_design_scores_gemma":[0.0013659495,0.0016231643,0.0004755215,0.06831303,0.0006558304,0.0010941944,0.0010697367,0.12822264,0.000010066444,0.0005297625,0.79364294,0.0029971355],"about_ca_topic_score_codex":0.000023365174,"about_ca_topic_score_gemma":0.000037340058,"teacher_disagreement_score":0.9938398,"about_ca_system_score_codex":0.00009188436,"about_ca_system_score_gemma":0.00027308302,"threshold_uncertainty_score":0.94558936},"labels":[],"label_agreement":null},{"id":"W4386953665","doi":"10.1073/pnas.2300445120","title":"Internal feedback in the cortical perception–action loop enables fast and accurate behavior","year":2023,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; Office of Naval Research; Natural Sciences and Engineering Research Council of Canada; Government of Canada; National Science Foundation","keywords":"Sensory system; Internal model; Feed forward; Computer science; Perception; Neuroscience; Feedback loop; Action (physics); Control (management); Artificial intelligence; Psychology; Control engineering; Physics; Engineering","score_opus":0.10568608552155483,"score_gpt":0.348258889562896,"score_spread":0.24257280404134118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386953665","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99437904,0.0000032092107,7.879479e-7,0.0044281734,0.000041904837,0.00015316474,0.000007160767,0.000011457469,0.00097508845],"genre_scores_gemma":[0.9991342,0.000053337895,0.000027156771,0.00050820794,0.000043143453,0.0000147850715,9.0220794e-8,0.0000023499508,0.00021674021],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99867135,0.000017329934,0.00020906296,0.00021695209,0.00075766916,0.00012762558],"domain_scores_gemma":[0.9995187,0.00023749826,0.00016121911,0.000006116007,0.000058906684,0.000017578868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096096494,0.00006370623,0.000073459,0.00015022182,0.00023142154,0.0000641842,0.00044374997,0.00004206774,0.000010419381],"category_scores_gemma":[0.00071498146,0.00003536872,0.00003411586,0.00096802734,0.00065259315,0.00048040124,0.00010837907,0.00020187379,0.0000038655576],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001285227,0.00002974269,0.009229923,0.000015982312,6.535761e-7,2.8316482e-8,0.00019665179,0.0000538165,0.9792195,0.009388432,0.00029105734,0.0015613447],"study_design_scores_gemma":[0.00013628858,0.000058791185,0.89713204,0.000040223684,0.000006511905,0.000037858455,0.001031789,0.018849816,0.07170821,0.010883271,0.000052285126,0.00006293738],"about_ca_topic_score_codex":0.000007009243,"about_ca_topic_score_gemma":3.4919896e-7,"teacher_disagreement_score":0.9075113,"about_ca_system_score_codex":0.00001952747,"about_ca_system_score_gemma":0.000010116989,"threshold_uncertainty_score":0.24045068},"labels":[],"label_agreement":null},{"id":"W4387043781","doi":"10.1038/s41467-023-41689-6","title":"Neurophysiological signatures of cortical micro-architecture","year":2023,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of General Medical Sciences; Fonds de recherche du Québec – Nature et technologies; Canadian Institutes of Health Research; National Institutes of Health; Health Canada; Canada First Research Excellence Fund; Canada Research Chairs; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada; McGill University","keywords":"Neurophysiology; Neuroscience; Magnetoencephalography; Cortex (anatomy); Computer science; Biology; Electroencephalography","score_opus":0.03960825353176251,"score_gpt":0.3102681864532578,"score_spread":0.2706599329214953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387043781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98646057,0.0002863041,0.000059462294,0.009277551,0.00042324007,0.0002672289,0.00008013347,0.0003361312,0.0028093616],"genre_scores_gemma":[0.99732804,0.00032191793,0.0005011866,0.0015678713,0.00003415346,0.000013266593,0.000041364336,0.000012589589,0.00017959414],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989466,0.0002950155,0.00018004677,0.00022978017,0.00017443078,0.00017411847],"domain_scores_gemma":[0.99751574,0.0013102166,0.00007303027,0.0010007973,0.00005132357,0.000048871017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000098302524,0.000099746,0.00013256895,0.00011332915,0.0002541625,0.000017821783,0.0009639219,0.00020656482,0.000018518773],"category_scores_gemma":[0.0013980867,0.00007688455,0.00009204483,0.00087990996,0.00029535496,0.000041936833,0.0004561057,0.0013546142,0.000054493794],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016457614,0.00006025392,0.000078754,0.000004841747,0.0000022331037,0.000002967199,0.000027059878,0.00016246868,0.9623174,0.03435584,0.0020522356,0.0009195014],"study_design_scores_gemma":[0.0011574911,0.0007874013,0.2943302,0.00008039486,0.0000784767,0.00007704921,0.000112962574,0.03794158,0.44495776,0.036508128,0.18294178,0.0010267622],"about_ca_topic_score_codex":0.0000017137704,"about_ca_topic_score_gemma":0.000006598318,"teacher_disagreement_score":0.5173596,"about_ca_system_score_codex":0.0000090712665,"about_ca_system_score_gemma":0.000018315135,"threshold_uncertainty_score":0.58851993},"labels":[],"label_agreement":null},{"id":"W4387048100","doi":"10.1038/s41467-023-41745-1","title":"Feedforward attentional selection in sensory cortex","year":2023,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Eye Institute; NIH Office of the Director; U.S. Department of Health and Human Services; Government of Canada; National Institutes of Health; Human Frontier Science Program; Natural Sciences and Engineering Research Council of Canada","keywords":"Sensory system; Selection (genetic algorithm); Feed forward; Neuroscience; Computer science; Cortex (anatomy); Biology; Artificial intelligence","score_opus":0.047792572006906224,"score_gpt":0.3228754577948443,"score_spread":0.27508288578793805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387048100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9760711,0.000088189794,0.000054216453,0.012589954,0.0005282678,0.00030055572,0.000040763043,0.00041400883,0.00991295],"genre_scores_gemma":[0.9960798,0.00029117244,0.00015106522,0.0008657195,0.000034525394,0.00003230466,0.00005818533,0.000011515534,0.0024757108],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991734,0.0001423564,0.00015096672,0.00020381685,0.00017148461,0.00015794887],"domain_scores_gemma":[0.99911624,0.0003646582,0.00005161447,0.00039268276,0.000043575958,0.000031216972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016710184,0.000073046365,0.00007227377,0.00023990388,0.00026942007,0.000033467073,0.0004057594,0.00013563938,0.000024112824],"category_scores_gemma":[0.00037137113,0.000073436255,0.00004684944,0.0013126418,0.000068945184,0.00013084499,0.00016259361,0.0007310577,0.00024785707],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001686785,0.000108319684,0.010720741,0.0000072799835,0.0000043117843,0.000004544011,0.000082886356,0.00030452965,0.85374004,0.12357321,0.0079019265,0.003535335],"study_design_scores_gemma":[0.0006238064,0.000059522717,0.72619313,0.000032039876,0.000012474081,0.000058653295,0.00013818665,0.16138133,0.0062104445,0.0069071557,0.09803251,0.00035076757],"about_ca_topic_score_codex":0.000010413959,"about_ca_topic_score_gemma":0.00037347406,"teacher_disagreement_score":0.8475296,"about_ca_system_score_codex":0.000060066344,"about_ca_system_score_gemma":0.000028601558,"threshold_uncertainty_score":0.3185784},"labels":[],"label_agreement":null},{"id":"W4387094460","doi":"10.21203/rs.3.rs-2356429/v3","title":"Gain neuromodulation mediates perceptual switches: evidence from pupillometry, fMRI, and RNN Modelling","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Neuromodulation; Perception; Neuroscience; Recurrent neural network; Pupillometry; Psychology; Task (project management); Computer science; Cognitive psychology; Artificial intelligence; Artificial neural network; Pupil","score_opus":0.31455026744905623,"score_gpt":0.4039605146364574,"score_spread":0.08941024718740115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387094460","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891166,0.0004527739,0.0057020797,0.0022479335,0.00089332537,0.0009978014,0.0002325337,0.00028642995,0.000070507645],"genre_scores_gemma":[0.9924193,0.0057839975,0.00022291797,0.00007828867,0.0005732016,0.0001370942,0.00013156651,0.00009610964,0.0005575283],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9941202,0.0009028741,0.0004444806,0.0017937651,0.0019857984,0.00075292465],"domain_scores_gemma":[0.9935512,0.0049312604,0.0001424838,0.0008112722,0.00027781117,0.00028596123],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016950285,0.00035877916,0.00038665097,0.0007812256,0.0004884323,0.0006568014,0.0006564465,0.0003812195,0.00009033835],"category_scores_gemma":[0.005739915,0.0003349115,0.00013681865,0.00091269956,0.00029874165,0.00036463057,0.0019533196,0.002125715,0.00021859896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037181054,0.0002175358,0.015003222,0.0017155064,0.000041774092,0.0003185752,0.004736808,0.26430938,0.69520694,0.00063187117,0.0022134474,0.015233116],"study_design_scores_gemma":[0.00017401783,0.0001999255,0.010230079,0.0011001457,0.0000137784455,0.0000043119912,0.0003493387,0.9592834,0.007869156,0.020277537,0.000104316176,0.00039400885],"about_ca_topic_score_codex":0.0017447012,"about_ca_topic_score_gemma":0.00008572227,"teacher_disagreement_score":0.694974,"about_ca_system_score_codex":0.0001893502,"about_ca_system_score_gemma":0.00016363534,"threshold_uncertainty_score":0.9999103},"labels":[],"label_agreement":null},{"id":"W4387132660","doi":"10.7554/elife.90624","title":"Supercomputer framework for reverse engineering firing patterns of neuron populations to identify their synaptic inputs","year":2023,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Argonne National Laboratory; National Institute of Neurological Disorders and Stroke; Canadian Institutes of Health Research; Deutsche Forschungsgemeinschaft; U.S. Department of Energy; Office of Science; National Institutes of Health; National Science Foundation","keywords":"Computer science; Neuromodulation; Excitatory postsynaptic potential; Massively parallel; Process (computing); Artificial neural network; Neuroscience; Input/output; Inhibitory postsynaptic potential; Artificial intelligence; Biology; Parallel computing","score_opus":0.07045435540737531,"score_gpt":0.31722300669103604,"score_spread":0.2467686512836607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387132660","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8792581,0.0000017081996,0.1183473,0.0008334887,0.001171067,0.0002213663,0.000039468836,0.0001242522,0.0000032265095],"genre_scores_gemma":[0.9970451,0.0000061164674,0.0016833573,0.0010214621,0.00013736813,0.00002464818,0.000007705492,0.000022961474,0.000051253144],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922824,0.000018248073,0.00017465618,0.0002445929,0.00014064637,0.00019359188],"domain_scores_gemma":[0.9994018,0.00028855077,0.000032471613,0.00019550555,0.000024702736,0.00005693986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009506249,0.000090112866,0.00010777862,0.00013983145,0.00006966626,0.000032656288,0.000117760894,0.000041354866,0.000008235854],"category_scores_gemma":[0.0005490698,0.000085543244,0.000067750654,0.00032426743,0.0000054727466,0.00010421034,0.0000940735,0.00009575961,0.000035159796],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014262546,0.000031528143,0.004472853,0.0001214118,0.00000778801,0.00001424876,0.0004116094,0.047890075,0.9341635,0.010028541,0.0007169448,0.0021272444],"study_design_scores_gemma":[0.0004360006,0.0003118496,0.2725447,0.00041865485,0.000025176527,0.00001917577,0.000033814536,0.5296088,0.18758096,0.0037481212,0.004728575,0.000544177],"about_ca_topic_score_codex":0.000006231297,"about_ca_topic_score_gemma":0.0000044010617,"teacher_disagreement_score":0.7465825,"about_ca_system_score_codex":0.000016442704,"about_ca_system_score_gemma":0.000005408732,"threshold_uncertainty_score":0.34883523},"labels":[],"label_agreement":null},{"id":"W4387197010","doi":"10.1162/opmi_a_00100","title":"Toward ‘Computational-Rationality’ Approaches to Arbitrating Models of Cognition: A Case Study Using Perceptual Metacognition","year":2023,"lang":"en","type":"article","venue":"Open Mind","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Metacognition; Perception; Generative model; Computational model; Rationality; Computer science; Cognition; Process (computing); Artificial intelligence; Machine learning; Cognitive psychology; Psychology; Generative grammar","score_opus":0.6171854960153721,"score_gpt":0.3842684052281527,"score_spread":0.2329170907872194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387197010","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911612,6.6897866e-7,0.00565056,0.00018793996,0.00008337296,0.0010058271,0.00008906839,0.0000070433885,0.0018142627],"genre_scores_gemma":[0.9940796,1.3441381e-7,0.0055511673,0.00011588856,0.000042925185,0.000042909694,0.000053806078,0.000012381003,0.00010118136],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986121,0.00017573751,0.00030890966,0.00043126423,0.00032741873,0.00014456436],"domain_scores_gemma":[0.99940395,0.00024404509,0.000107116655,0.000107822365,0.00007472029,0.00006235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042527876,0.00011233679,0.0001587191,0.00014288195,0.00022911288,0.00017796193,0.00014314223,0.0000306952,0.00014740584],"category_scores_gemma":[0.00014368747,0.00011029386,0.000044230732,0.00068004814,0.000037863865,0.00054649403,0.00016972331,0.00008362672,0.00006607346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020865376,0.0012885291,0.00040594736,0.00004530449,0.00006645914,0.0015156292,0.026500188,0.7944075,0.13888535,0.0026802337,0.000050231836,0.03394598],"study_design_scores_gemma":[0.0006837145,0.00029297255,0.0004647139,0.0000252902,0.00007819889,0.00063697394,0.016751224,0.96561944,0.007891041,0.007304501,0.00000894197,0.0002430037],"about_ca_topic_score_codex":0.00008155899,"about_ca_topic_score_gemma":0.000037568458,"teacher_disagreement_score":0.17121193,"about_ca_system_score_codex":0.000023268003,"about_ca_system_score_gemma":0.00006756741,"threshold_uncertainty_score":0.44976532},"labels":[],"label_agreement":null},{"id":"W4387319057","doi":"10.2139/ssrn.4590315","title":"Understanding How Differences in Morphology, Intrinsic Properties, and Extrinsic Synaptic Input Shape Spiking Activity in Sensory Neural Populations in vivo","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Sensory system; Neuroscience; Morphology (biology); Neural activity; In vivo; Biology; Zoology","score_opus":0.23942982854898648,"score_gpt":0.2880329929549866,"score_spread":0.0486031644060001,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387319057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99489343,0.0003046881,0.00046250725,0.0029076636,0.00085282535,0.0004976044,0.000007660937,0.000054771353,0.000018868304],"genre_scores_gemma":[0.99692863,0.0026671558,0.000008095255,0.0000631391,0.00010497407,0.000027039197,0.0000018122018,0.000044879027,0.00015426718],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99597144,0.0006187376,0.00046470485,0.0008010621,0.00032868277,0.0018153582],"domain_scores_gemma":[0.9991207,0.00022952085,0.00034277508,0.0002139035,0.000018995144,0.00007408015],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0011567579,0.00037480108,0.0005334714,0.0012503781,0.000223145,0.00025753866,0.00032533242,0.00029608826,0.000004419862],"category_scores_gemma":[0.00054170325,0.00034061712,0.0000872791,0.0006582754,0.00016360273,0.00036255893,0.00044054972,0.006120419,0.0000013470949],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009881614,0.0006068793,0.5084485,0.0004202741,0.000094498006,0.0014108848,0.0014026338,0.013698461,0.39209515,0.053754207,0.000010163061,0.0270702],"study_design_scores_gemma":[0.0026232912,0.0006733989,0.2608617,0.0011155482,0.00005458168,0.0017597978,0.0023694946,0.42069975,0.0010297652,0.3074288,0.0000039050256,0.0013799919],"about_ca_topic_score_codex":0.0005956402,"about_ca_topic_score_gemma":0.028771514,"teacher_disagreement_score":0.4070013,"about_ca_system_score_codex":0.0030612738,"about_ca_system_score_gemma":0.0006635788,"threshold_uncertainty_score":0.9999046},"labels":[],"label_agreement":null},{"id":"W4387358425","doi":"10.1101/2023.10.03.560770","title":"Laminar architecture of visual responses in supplementary eye field of macaques","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Saccade; Neuroscience; Laminar flow; Laminar organization; Receptive field; Visual cortex; Latency (audio); Psychology; Computer science; Eye movement; Physics","score_opus":0.02196946912640281,"score_gpt":0.27631922448047136,"score_spread":0.25434975535406856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387358425","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996764,0.000046168647,0.00019595318,0.00068500894,0.0008313659,0.0005092481,0.0008635038,0.00010107768,0.00000366975],"genre_scores_gemma":[0.9987479,0.0001789499,0.0005571826,0.0002568437,0.0001092134,0.000060582926,6.0251296e-7,0.000069146205,0.000019574605],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975119,0.00030001052,0.000640637,0.00077174895,0.00041440123,0.00036126762],"domain_scores_gemma":[0.9982192,0.00054256467,0.0004258827,0.00063271425,0.00010066005,0.00007901305],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00044050266,0.00033337675,0.00050592853,0.00060045486,0.000048389193,0.000036297028,0.00048718526,0.00028733435,0.00006159068],"category_scores_gemma":[0.00091679284,0.0003407404,0.00014358717,0.0006493577,0.00012856613,0.000059679795,0.0005784123,0.000652911,0.000006355937],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002291213,0.00013959371,0.01564982,0.00046275722,0.000015092738,0.00007699905,0.00001531863,0.000120708035,0.982837,0.00031867492,0.00012918834,0.0000057146326],"study_design_scores_gemma":[0.00028926035,0.00026129256,0.06750766,0.00038333551,0.000022554057,1.1326308e-8,0.0000040661866,0.00053981,0.9302238,0.000024120247,0.00045011617,0.00029396906],"about_ca_topic_score_codex":0.00028407839,"about_ca_topic_score_gemma":0.00002988552,"teacher_disagreement_score":0.052613214,"about_ca_system_score_codex":0.00007519379,"about_ca_system_score_gemma":0.00020659571,"threshold_uncertainty_score":0.99990445},"labels":[],"label_agreement":null},{"id":"W4387402302","doi":"10.3389/fnins.2023.1293552","title":"Editorial: Auditory perception and phantom perception in brains, minds and machines","year":2023,"lang":"en","type":"editorial","venue":"Frontiers in Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Deutsche Forschungsgemeinschaft","keywords":"Perception; Imaging phantom; Psychology; Auditory perception; Audiology; Cognitive psychology; Cognitive science; Neuroscience; Medicine; Nuclear medicine","score_opus":0.011508887018175278,"score_gpt":0.2612118814870642,"score_spread":0.2497029944688889,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387402302","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.064943954,0.000031810257,0.0001380288,0.00024403083,0.9339321,0.00041990334,0.00010803847,0.00012277422,0.000059335627],"genre_scores_gemma":[0.017209318,0.0042841346,0.00015633028,0.00023512532,0.9763524,0.00007832338,0.000044982207,0.00009922624,0.0015401617],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99535143,0.00036825158,0.0005144725,0.0018617068,0.0012385249,0.000665631],"domain_scores_gemma":[0.99851525,0.00068257534,0.00023951031,0.00034398428,0.000051412055,0.00016724321],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008745849,0.00047804322,0.0005226792,0.0009834004,0.00027379917,0.0003452976,0.000524795,0.000690745,0.0000037590946],"category_scores_gemma":[0.005584759,0.00047790128,0.00006432736,0.0010988424,0.0006756178,0.00071596325,0.0003351082,0.001350131,0.000007827734],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006605462,0.00004221886,0.0008097762,0.000071412134,4.2046793e-7,0.000033233475,0.00024307174,0.000025269504,0.100367896,0.000003850882,0.8919551,0.006381721],"study_design_scores_gemma":[0.0013498735,0.00043369638,0.03584898,0.0002635063,0.00001864709,0.0000117782465,0.00019997402,0.041722458,0.000039991446,0.0008182933,0.9183166,0.0009762083],"about_ca_topic_score_codex":0.00014468982,"about_ca_topic_score_gemma":0.00010466704,"teacher_disagreement_score":0.1003279,"about_ca_system_score_codex":0.00026144934,"about_ca_system_score_gemma":0.00016031245,"threshold_uncertainty_score":0.99976724},"labels":[],"label_agreement":null},{"id":"W4387404664","doi":"10.31234/osf.io/f6amv","title":"If engrams are the answer, what is the question?","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Trinity College Dublin","keywords":"Engram; Cognitive science; Construct (python library); Psychology; Neuroscience; Epistemology; Computer science; Philosophy","score_opus":0.05027983188062491,"score_gpt":0.3019549939765032,"score_spread":0.2516751620958783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387404664","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2952543,0.00058668264,0.003920258,0.6290452,0.055911146,0.0043598963,0.0002255938,0.0022614072,0.008435551],"genre_scores_gemma":[0.91289836,0.0047983355,0.000023935445,0.027008796,0.00079694693,0.00019617057,0.000019345178,0.000065387634,0.05419271],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981898,0.00025960317,0.00021616447,0.0006628175,0.00042145938,0.0002501629],"domain_scores_gemma":[0.9981212,0.00064594374,0.00017317255,0.00096332666,0.000053497115,0.00004286069],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041838578,0.00023057358,0.00015415427,0.000044068205,0.00041531105,0.001019038,0.00083616853,0.00015602968,0.00010918814],"category_scores_gemma":[0.00029415014,0.00010743804,0.00018243477,0.0002460343,0.00016051679,0.00016543563,0.00082705315,0.0008334066,0.00045726303],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017800351,0.0005915157,0.0033357022,0.00061850017,0.00019013969,0.00027817392,0.0055031255,0.017899271,0.0398458,0.27058873,0.41288984,0.24808122],"study_design_scores_gemma":[0.0005958718,0.00023504278,0.019193223,0.0011733505,0.00019743036,0.00009108693,0.0062314193,0.24168888,0.0333245,0.40239045,0.29280764,0.002071112],"about_ca_topic_score_codex":0.000197193,"about_ca_topic_score_gemma":0.000097183736,"teacher_disagreement_score":0.6176441,"about_ca_system_score_codex":0.00003693639,"about_ca_system_score_gemma":0.000034189747,"threshold_uncertainty_score":0.9826607},"labels":[],"label_agreement":null},{"id":"W4387431988","doi":"10.1093/cercor/bhad367","title":"Cortical origin of theta error signals","year":2023,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Systems, Applications & Products in Data Processing (Canada); York University","funders":"National Eye Institute; National Institute of Mental Health; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Macaque; Neuroscience; Local field potential; Electrophysiology; Electroencephalography; Pyramidal cell; Physics; Psychology; Hippocampus","score_opus":0.06638260514700735,"score_gpt":0.306380491003048,"score_spread":0.23999788585604065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387431988","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932886,0.000003733798,0.00006808511,0.00050394813,0.0005772922,0.0001489622,0.000025031119,0.00016157738,0.005222821],"genre_scores_gemma":[0.9947257,0.0000091066195,0.00001211361,0.00049471867,0.00006280259,0.000006538407,0.0000073461133,0.000016083726,0.0046655796],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988904,0.0000756939,0.00021922524,0.00029981937,0.00025812056,0.00025675446],"domain_scores_gemma":[0.99937683,0.00022626444,0.00007413016,0.00021777961,0.000027795866,0.000077209326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012658222,0.00010269752,0.00015787322,0.00008643635,0.00008802025,0.000022181035,0.00018889741,0.000048957256,0.0003944015],"category_scores_gemma":[0.0002948273,0.00008169516,0.000087492386,0.00055455667,0.000110329005,0.00010509734,0.00007754039,0.00014799993,0.0005351723],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032831853,0.000040040864,0.001981079,0.0000167415,0.0000030879978,0.000024374987,0.000028659208,0.00004924661,0.97856665,0.014716404,0.0030848128,0.0014560708],"study_design_scores_gemma":[0.0014337526,0.0009373527,0.33618054,0.00006945105,0.00005838595,0.0000750701,0.00014655564,0.15070945,0.46759528,0.02747667,0.014542147,0.00077534595],"about_ca_topic_score_codex":0.000009179276,"about_ca_topic_score_gemma":0.0000040708887,"teacher_disagreement_score":0.51097137,"about_ca_system_score_codex":0.000013093694,"about_ca_system_score_gemma":0.000027565467,"threshold_uncertainty_score":0.68787354},"labels":[],"label_agreement":null},{"id":"W4387448055","doi":"10.1109/ojcsys.2023.3322906","title":"Training Reflexes Using Adaptive Feedforward Control","year":2023,"lang":"en","type":"article","venue":"IEEE Open Journal of Control Systems","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Feed forward; Disturbance (geology); Computer science; Control theory (sociology); Control engineering; Feedforward neural network; Controller (irrigation); Adaptive control; Control (management); Internal model; Reflex; Engineering; Artificial intelligence; Artificial neural network; Neuroscience; Psychology; Biology","score_opus":0.15681360088078325,"score_gpt":0.33949473601251623,"score_spread":0.18268113513173298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387448055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92857784,0.00022344242,0.046371244,0.001347743,0.014582083,0.0021537726,0.00013593868,0.00010857677,0.0064993612],"genre_scores_gemma":[0.99803346,0.00001555479,0.000037524984,0.00045929197,0.0007604865,0.000011880064,2.9372845e-7,0.000033733853,0.0006477619],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973932,0.00054936134,0.0008227447,0.00026118336,0.0005637392,0.00040979308],"domain_scores_gemma":[0.9977596,0.0006909111,0.0009686099,0.00018482632,0.00021262592,0.00018343079],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017838894,0.00019527473,0.00069925067,0.00026056703,0.00026510828,0.00052801165,0.0006789565,0.00008004721,0.0000107842025],"category_scores_gemma":[0.00038253842,0.00014973737,0.00019685821,0.0004552616,0.00006435892,0.0008252652,0.000033229924,0.00030741727,0.00004435426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010366577,0.000031840595,0.000108743356,0.000019397401,0.00009390356,0.00041512062,0.0002994045,0.09015036,0.90223175,0.0018095539,0.0008269057,0.0029763877],"study_design_scores_gemma":[0.014572555,0.0019207123,0.0004860297,0.0008132465,0.00025351005,0.0025214856,0.0018167902,0.96104246,0.005692959,0.0014349375,0.008779165,0.00066614716],"about_ca_topic_score_codex":0.00006059833,"about_ca_topic_score_gemma":0.0000043282434,"teacher_disagreement_score":0.8965388,"about_ca_system_score_codex":0.000102652506,"about_ca_system_score_gemma":0.00017802826,"threshold_uncertainty_score":0.6106113},"labels":[],"label_agreement":null},{"id":"W4387487981","doi":"10.1101/2023.10.08.560888","title":"Multiunit frontal eye field activity codes the visuomotor transformation, but not gaze prediction or target memory, in a delayed saccade task","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada First Research Excellence Fund; Deutsche Forschungsgemeinschaft","keywords":"Saccade; Gaze; Eye movement; Population; Working memory; Psychology; Coding (social sciences); Neuroscience; Frontal eye fields; Visual field; Computer science; Cognition; Artificial intelligence; Communication; Mathematics","score_opus":0.02697986298391214,"score_gpt":0.2465926110796836,"score_spread":0.21961274809577147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387487981","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9858462,0.000019680305,0.005668234,0.0016386331,0.0026933863,0.0017886074,0.0017142451,0.0006222787,0.00000869281],"genre_scores_gemma":[0.9977366,0.00021345296,0.0002399514,0.00074628985,0.0003654247,0.0005164681,0.0000017526852,0.00011249558,0.00006759869],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9965204,0.00043842912,0.00066826923,0.0011108359,0.0006366742,0.00062538957],"domain_scores_gemma":[0.9978827,0.0004977423,0.00040081734,0.0008903727,0.00015310006,0.00017524988],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007888393,0.00057294295,0.0005103372,0.00035293712,0.00040269902,0.000319489,0.0007319448,0.00058677606,0.000058225825],"category_scores_gemma":[0.0010532527,0.00045926514,0.00019022402,0.00075330137,0.00013066221,0.000506981,0.00029796833,0.001494249,0.00007754866],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053973903,0.00015840025,0.0009543847,0.0001736932,0.000034005432,0.00005532008,0.00006404285,0.00081994146,0.99689186,0.00007172832,0.00022529403,0.000011594922],"study_design_scores_gemma":[0.0008711697,0.00019495065,0.10086465,0.00021308842,0.000058972502,7.903161e-8,0.000012177648,0.072620474,0.8237926,0.0000063564326,0.00076937967,0.0005961245],"about_ca_topic_score_codex":0.00056916085,"about_ca_topic_score_gemma":0.000111132416,"teacher_disagreement_score":0.17309928,"about_ca_system_score_codex":0.00034684487,"about_ca_system_score_gemma":0.00036843936,"threshold_uncertainty_score":0.9997859},"labels":[],"label_agreement":null},{"id":"W4387498128","doi":"10.7554/elife.90069.1.sa3","title":"eLife Assessment: Representational drift as a result of implicit regularization","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Generality; Concept drift; Regularization (linguistics); Computer science; Coding (social sciences); Artificial intelligence; Machine learning; Network dynamics; Mathematics; Statistics; Psychology; Data stream mining","score_opus":0.05805004519719192,"score_gpt":0.37618006876053556,"score_spread":0.31813002356334363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387498128","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015305172,0.0009913569,0.0067620743,0.30676177,0.021483058,0.0062052845,0.0045245565,0.0013517267,0.6503897],"genre_scores_gemma":[0.001038118,0.006524073,0.00030928702,0.009663116,0.0003884451,0.00011552959,0.0031520126,0.00008408013,0.9787253],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966246,0.0002106624,0.0007730404,0.00086437893,0.0012757133,0.00025163396],"domain_scores_gemma":[0.99777883,0.00054601324,0.000622737,0.0006420433,0.00032944718,0.00008093563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000461667,0.00026850958,0.00049010094,0.00023866056,0.00011865035,0.00006207426,0.0003885378,0.00021030268,0.000595629],"category_scores_gemma":[0.0023130858,0.00023425503,0.00022529902,0.0009264128,0.00007793575,0.00014997886,0.00020745023,0.00036991772,0.00018190178],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001274854,0.000049517326,0.000011486651,0.0007984631,0.000015225561,0.000013758886,0.0000057913876,0.00007021122,0.03000131,0.039111633,0.92815274,0.0017570849],"study_design_scores_gemma":[0.00058901793,0.00024693427,0.0011138981,0.0020018113,0.00016590259,0.00005717916,0.000011636879,0.006663447,0.010091156,0.0137151,0.96469796,0.00064597686],"about_ca_topic_score_codex":0.00021250582,"about_ca_topic_score_gemma":0.00003351079,"teacher_disagreement_score":0.3283357,"about_ca_system_score_codex":0.000061763734,"about_ca_system_score_gemma":0.00028660658,"threshold_uncertainty_score":0.9552643},"labels":[],"label_agreement":null},{"id":"W4387536281","doi":"10.1101/2023.10.09.560813","title":"Striatal calcium transients detected by fiber photometry propagate to axons","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Photometry (optics); Neuroscience; Neuropil; Soma; Neuronal firing; Calcium imaging; Calcium; Physics; Biology; Electrophysiology; Chemistry; Central nervous system; Astrophysics","score_opus":0.0340980131778414,"score_gpt":0.24761639927680035,"score_spread":0.21351838609895896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387536281","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9893825,0.000025213649,0.0012497694,0.0004443537,0.0032699052,0.0017664689,0.0026274328,0.0012244037,0.000009953231],"genre_scores_gemma":[0.9979138,0.000036554826,0.00034070027,0.0005641586,0.00027773363,0.00040830058,0.0000014402477,0.00024784444,0.0002095069],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9954312,0.00022598743,0.0006329676,0.0019692173,0.0008023295,0.00093829056],"domain_scores_gemma":[0.9975058,0.00016637945,0.00030634322,0.0012476098,0.00022645795,0.0005474211],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00039169422,0.0007055136,0.00057036517,0.000591065,0.00029383568,0.0004006132,0.0008879034,0.00052251614,0.00010246361],"category_scores_gemma":[0.0008768244,0.00073112285,0.0002250955,0.0018891223,0.00011066643,0.00018792806,0.00062552915,0.0010865749,0.0009320528],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007051085,0.00011723265,0.00021376339,0.00014902215,0.000029089826,0.000051206727,0.000004570364,0.00010241476,0.9970755,0.000021444464,0.002160676,0.000004578876],"study_design_scores_gemma":[0.00062194857,0.00011967645,0.011561111,0.00018997869,0.00006029143,1.9314049e-8,7.815226e-7,0.0010609303,0.9797113,0.0000016018523,0.005783123,0.0008892435],"about_ca_topic_score_codex":0.00008050784,"about_ca_topic_score_gemma":0.000003533899,"teacher_disagreement_score":0.017364195,"about_ca_system_score_codex":0.00029990388,"about_ca_system_score_gemma":0.00028463185,"threshold_uncertainty_score":0.99984586},"labels":[],"label_agreement":null},{"id":"W4387640827","doi":"10.1101/2023.10.13.562291","title":"Representations of the intrinsic value of information in mouse orbitofrontal cortex","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Advanced Research; McKnight Foundation; National Institutes of Health; National Science Foundation; James S. McDonnell Foundation; Howard Hughes Medical Institute","keywords":"Orbitofrontal cortex; Value (mathematics); Information retrieval; Information seeking; Psychology; Computer science; Cognitive psychology; Statistics; Mathematics; Neuroscience; Prefrontal cortex; Cognition","score_opus":0.019086190752348974,"score_gpt":0.2331566452570343,"score_spread":0.21407045450468534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387640827","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967721,0.000010708627,0.00025597558,0.0001968784,0.0015741698,0.0007013648,0.00037513385,0.00010016844,0.000013474914],"genre_scores_gemma":[0.99947,0.000068711,0.00018689648,0.00011007668,0.00005215666,0.000065081265,3.7013405e-7,0.00003328151,0.000013439836],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99805224,0.00017092345,0.00070965855,0.00039583322,0.00044423935,0.00022708157],"domain_scores_gemma":[0.9979926,0.00015662653,0.00071705086,0.0008994345,0.0001801023,0.000054226337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032200778,0.00021822014,0.0003133146,0.0003474675,0.00007346755,0.000056791607,0.00054519944,0.0002042992,0.000007274445],"category_scores_gemma":[0.0011653329,0.00019220002,0.00013244528,0.00090058276,0.00015550232,0.0002948145,0.0005884492,0.0004952943,0.00001906876],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023285505,0.00006586701,0.0076552317,0.00020179524,0.000009758424,0.0000034347681,0.000023095203,0.0019371472,0.98567516,0.004323274,0.00007975767,0.0000022128854],"study_design_scores_gemma":[0.00026680747,0.000025018942,0.35811514,0.00014846107,0.000017105827,1.12345395e-8,0.000005774867,0.005417359,0.6357218,0.000021461903,0.000085355074,0.00017570563],"about_ca_topic_score_codex":0.00032678616,"about_ca_topic_score_gemma":0.000015238315,"teacher_disagreement_score":0.3504599,"about_ca_system_score_codex":0.000132412,"about_ca_system_score_gemma":0.0002872493,"threshold_uncertainty_score":0.78376895},"labels":[],"label_agreement":null},{"id":"W4387654758","doi":"10.22541/au.169735586.60442724/v1","title":"Statistics Learning of Target Regularities in a Pop-out Search: Behavioral Performance and Neural Mechanisms","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Feature (linguistics); Pattern recognition (psychology); Artificial intelligence; Feature selection; Computer science; Machine learning; Mathematics","score_opus":0.10255517968334771,"score_gpt":0.30784756407277486,"score_spread":0.20529238438942715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387654758","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9868303,0.0000074548725,0.011584774,0.00015486435,0.00069402053,0.00031058307,0.00016595227,0.000103256185,0.00014878201],"genre_scores_gemma":[0.98954827,0.00015476359,0.003712722,0.00005925504,0.00002213117,0.000020109415,0.00005797165,0.000036309917,0.006388483],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983203,0.00015654786,0.0003383601,0.0005139021,0.00037365462,0.00029724385],"domain_scores_gemma":[0.9994195,0.00015348215,0.00012364773,0.00019961881,0.000046420708,0.000057291076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030095622,0.00020238232,0.00029709798,0.0002484566,0.00008996012,0.00008628962,0.00019527007,0.00014493926,0.000037946455],"category_scores_gemma":[0.00013552852,0.00019357649,0.00004074675,0.00013309804,0.00013565226,0.00010064128,0.00071766943,0.000806137,0.00000502865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051449117,0.0005234266,0.043635093,0.0041889423,0.000024572733,0.00052629376,0.0053965407,0.10344433,0.68523693,0.12855163,0.00069817115,0.027259594],"study_design_scores_gemma":[0.00036693976,0.00054055307,0.0127662625,0.00016646189,0.000015924545,0.000016724072,0.000360523,0.927854,0.03943823,0.018038565,0.000026146643,0.00040964337],"about_ca_topic_score_codex":0.00030004556,"about_ca_topic_score_gemma":0.000094971474,"teacher_disagreement_score":0.8244097,"about_ca_system_score_codex":0.00003644877,"about_ca_system_score_gemma":0.00005128504,"threshold_uncertainty_score":0.789382},"labels":[],"label_agreement":null},{"id":"W4387665790","doi":"10.1371/journal.pcbi.1011571","title":"Establishing brain states in neuroimaging data","year":2023,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Economic and Social Research Council; National Institute of Mental Health; Medical Research Council; McDonnell Center for Systems Neuroscience; National Institutes of Health; National Institute for Health and Care Research; King's College London; UK Research and Innovation; Wellcome Trust; King’s College London","keywords":"Neuroimaging; Resting state fMRI; Computer science; Brain activity and meditation; Task (project management); Neuroscience; Electroencephalography; Wakefulness; Cognitive science; Computational neuroscience; Dynamical systems theory; Artificial intelligence; Psychology; Cognitive psychology","score_opus":0.10792600125744028,"score_gpt":0.3238372868142769,"score_spread":0.21591128555683664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387665790","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9860416,0.0000063312873,0.0014296948,0.01136158,0.00037046592,0.00012249706,0.00017221611,0.00019345565,0.00030212977],"genre_scores_gemma":[0.9948025,0.000011082622,0.00030212634,0.0037022426,0.000064981614,0.000005954866,0.0010212498,0.000011869679,0.00007800225],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99884814,0.00016721117,0.00017758213,0.00046961967,0.00011067823,0.00022677638],"domain_scores_gemma":[0.99724853,0.0024781802,0.000049512808,0.00017410796,0.00001886498,0.000030804204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021487966,0.00007945998,0.00009883387,0.000217904,0.000082387334,0.00005762936,0.0003524813,0.000028334889,0.000017932762],"category_scores_gemma":[0.0014699252,0.000075371245,0.000013116295,0.00061259855,0.00006395319,0.00027297495,0.00033044894,0.00014294854,0.00012321958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007061243,0.00021921397,0.038754776,0.00005131212,0.0000122496795,0.00023488367,0.0003521703,0.24015853,0.6271018,0.051422063,0.014982951,0.026639478],"study_design_scores_gemma":[0.00018437426,0.000028946846,0.011948719,0.000006717182,0.0000011058352,0.000009268629,0.000013569009,0.93708515,0.00038040537,0.04846703,0.0017873864,0.00008732114],"about_ca_topic_score_codex":0.000022536404,"about_ca_topic_score_gemma":0.000011952412,"teacher_disagreement_score":0.69692665,"about_ca_system_score_codex":0.000015745985,"about_ca_system_score_gemma":0.000027162841,"threshold_uncertainty_score":0.30735502},"labels":[],"label_agreement":null},{"id":"W4387667659","doi":"10.3390/e25101453","title":"The Fundamental Tension in Integrated Information Theory 4.0’s Realist Idealism","year":2023,"lang":"en","type":"article","venue":"Entropy","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agencia Nacional de Investigación y Desarrollo; Azrieli Foundation; Fonds De La Recherche Scientifique - FNRS","keywords":"Idealism; Theoretical physics; Tension (geology); Epistemology; Physics; Classical mechanics; Philosophy; Moment (physics)","score_opus":0.017883543548785647,"score_gpt":0.2475352516685956,"score_spread":0.22965170811980995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387667659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99300647,0.000006135267,0.00029220403,0.0031555467,0.0011689471,0.0002591364,0.000027576245,0.00019636891,0.0018876195],"genre_scores_gemma":[0.99783003,0.000092109665,0.0000068783415,0.0012180208,0.0000329925,0.00001530696,0.000049312577,0.0000062305508,0.00074912084],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991816,0.0001419191,0.00018007708,0.000115089664,0.00018423572,0.00019705038],"domain_scores_gemma":[0.9994728,0.00028485653,0.00005966858,0.00013870794,0.000016083439,0.000027885404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003122367,0.00007238743,0.00005735004,0.00009440836,0.00021142533,0.000115401606,0.00012388984,0.000030528612,0.000019238032],"category_scores_gemma":[0.00050326786,0.000044767894,0.000029877036,0.00049410143,0.00006248265,0.00020570835,0.000053596155,0.0001366793,0.00032393486],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021100116,0.000015049406,0.0005556458,0.0000058862615,0.0000020154928,0.00002315119,0.00043485966,0.00021044209,0.3387689,0.6274292,0.010896794,0.021447042],"study_design_scores_gemma":[0.002958395,0.0004179256,0.08063474,0.0001071861,0.000014791282,0.00007467927,0.003480922,0.2923234,0.0700749,0.23150901,0.31769386,0.0007101618],"about_ca_topic_score_codex":0.000075435644,"about_ca_topic_score_gemma":0.000032680804,"teacher_disagreement_score":0.3959202,"about_ca_system_score_codex":0.000064266445,"about_ca_system_score_gemma":0.000011955125,"threshold_uncertainty_score":0.41636354},"labels":[],"label_agreement":null},{"id":"W4387674347","doi":"10.7554/elife.85786.3","title":"Pynapple, a toolbox for data analysis in neuroscience","year":2023,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; International Development Research Centre","keywords":"Python (programming language); Computer science; Toolbox; Neuroinformatics; Data type; Data stream mining; R package; Data mining; Artificial intelligence; Data science; Programming language","score_opus":0.15282174095203266,"score_gpt":0.3524358714671734,"score_spread":0.19961413051514076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387674347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879468,0.000005825669,0.0072762007,0.0024316832,0.0008024786,0.0004020278,0.0002756018,0.00022234602,0.0006370302],"genre_scores_gemma":[0.9959875,0.000032829153,0.00012294506,0.0024516783,0.00004983004,0.000029056439,0.000066671346,0.000009382909,0.001250127],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998701,0.000037384965,0.00016019281,0.0005961088,0.00024233467,0.00026300986],"domain_scores_gemma":[0.9991022,0.00025472895,0.000044160817,0.0005383232,0.000013053616,0.000047535872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039092402,0.000073807285,0.00012167187,0.00030852962,0.000099874655,0.00006493259,0.000448929,0.000025533778,0.000010150047],"category_scores_gemma":[0.0014949772,0.00006612541,0.00004801712,0.0032596744,0.00004430486,0.0002316945,0.0001867022,0.00007070268,0.00004939987],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000915208,0.00015408598,0.021495866,0.00003224027,0.000011736702,0.0001232193,0.00013913478,0.009577187,0.9193122,0.010741774,0.026537614,0.011783415],"study_design_scores_gemma":[0.00019926827,0.000043020038,0.04193079,0.0000021416245,0.000019950017,0.0000022618026,0.00001071675,0.9226154,0.0040334435,0.00025900293,0.030770762,0.00011325488],"about_ca_topic_score_codex":0.00002970717,"about_ca_topic_score_gemma":0.0001206812,"teacher_disagreement_score":0.91527873,"about_ca_system_score_codex":0.0000117868985,"about_ca_system_score_gemma":0.000022845798,"threshold_uncertainty_score":0.2696516},"labels":[],"label_agreement":null},{"id":"W4387700987","doi":"10.1371/journal.pcbi.1011465","title":"Integrated information theory (IIT) 4.0: Formulating the properties of phenomenal existence in physical terms","year":2023,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":249,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"National Research Council Canada; Templeton World Charity Foundation; Tiny Blue Dot Foundation","keywords":"Axiom; Quality (philosophy); Computer science; Mathematical theory; Mathematics; Epistemology; Physics","score_opus":0.05901149464885014,"score_gpt":0.2599130016673461,"score_spread":0.20090150701849596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387700987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99814427,0.0000018480225,0.00078592385,0.00033621254,0.00007767651,0.00016936152,0.000016608608,0.00004730557,0.00042077334],"genre_scores_gemma":[0.99949235,0.0000015062489,0.00006975341,0.000324712,0.000025399862,0.000022718092,0.00004256272,0.0000034503769,0.000017522578],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993023,0.0001403998,0.00021075008,0.00011210948,0.00010862767,0.00012581237],"domain_scores_gemma":[0.9992654,0.000525195,0.00009860582,0.000059180766,0.00003964269,0.000011977037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014067866,0.000068418405,0.00009813779,0.00010871854,0.00007705413,0.000015890946,0.00013117275,0.000024674508,0.0000039592],"category_scores_gemma":[0.00039746676,0.000039689785,0.000028162263,0.00040333995,0.00014509946,0.00018537427,0.00006136858,0.00011596706,0.000030221749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015656398,0.000078253106,0.0013209997,0.00004089895,0.000008516098,0.0000010685662,0.0018076828,0.04041822,0.6433115,0.29823735,0.000012111677,0.014606838],"study_design_scores_gemma":[0.00018915733,0.000110787565,0.005328981,0.000024922876,0.0000022696024,0.0000032393789,0.00014582074,0.84394103,0.014435675,0.13571449,0.000038281876,0.000065323016],"about_ca_topic_score_codex":0.000006476779,"about_ca_topic_score_gemma":0.0000013193,"teacher_disagreement_score":0.8035228,"about_ca_system_score_codex":0.000020701666,"about_ca_system_score_gemma":0.000022560302,"threshold_uncertainty_score":0.16185024},"labels":[],"label_agreement":null},{"id":"W4387701351","doi":"10.3758/s13423-023-02396-x","title":"Need for cross-level iterative re-entry in models of visual processing","year":2023,"lang":"en","type":"article","venue":"Psychonomic Bulletin & Review","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Psychology; Cognitive psychology; Visual processing; Cognitive science; Perception; Neuroscience","score_opus":0.10406579770486403,"score_gpt":0.3729732465847224,"score_spread":0.2689074488798584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387701351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9087833,0.02355757,0.0074006505,0.032324966,0.0031919265,0.008529185,0.00035892907,0.00044863397,0.015404843],"genre_scores_gemma":[0.9597007,0.02826683,0.00069262704,0.0064669563,0.00014614112,0.0004669787,0.00003341647,0.00006562291,0.004160751],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984993,0.00008500303,0.00057079335,0.00046320073,0.000117013966,0.00026471054],"domain_scores_gemma":[0.9992592,0.00022239219,0.00024917256,0.00017812056,0.00004652317,0.000044604632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005090053,0.00015566342,0.00036663443,0.000104794184,0.000077227865,0.00004950105,0.00018233474,0.000049052032,0.00008888144],"category_scores_gemma":[0.00027176115,0.00013897262,0.00012586068,0.00042640688,0.00006333598,0.00010411387,0.000045232457,0.0001242254,0.000102552796],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012284099,0.0011824368,0.0011796234,0.031679623,0.00003682661,0.00002832689,0.0011277889,0.005032439,0.18425983,0.00953249,0.18034163,0.58437055],"study_design_scores_gemma":[0.007441383,0.0010324449,0.0051812762,0.028107336,0.00011602679,0.000046263336,0.000189634,0.37685987,0.014051382,0.017723884,0.54714966,0.0021008104],"about_ca_topic_score_codex":0.000006266544,"about_ca_topic_score_gemma":0.0000017917399,"teacher_disagreement_score":0.5822697,"about_ca_system_score_codex":0.000036440357,"about_ca_system_score_gemma":0.00003190315,"threshold_uncertainty_score":0.5667139},"labels":[],"label_agreement":null},{"id":"W4387728576","doi":"10.1017/s0963180123000543","title":"Theoretical Neurobiology of Consciousness Applied to Human Cerebral Organoids","year":2023,"lang":"en","type":"article","venue":"Cambridge Quarterly of Healthcare Ethics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Canadian Sleep & Circadian Network; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Canadian Institute for Advanced Research","funders":"University of Cambridge","keywords":"Consciousness; Neuroscience; Cognitive science; Organoid; Electromagnetic theories of consciousness; Psychology; Integrated information theory; Human brain","score_opus":0.04669028312955326,"score_gpt":0.3319630590043942,"score_spread":0.28527277587484096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387728576","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98307323,0.0000036638341,0.00020404466,0.014514813,0.0008364995,0.00045722123,0.00013763155,0.00015469184,0.00061818387],"genre_scores_gemma":[0.99724483,0.0000064875526,0.000031501,0.0024451644,0.000086602486,0.000020545165,0.00002928151,0.000035096404,0.00010050021],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99752444,0.00048355837,0.00059314526,0.00054936425,0.0003801956,0.00046928623],"domain_scores_gemma":[0.9977672,0.0011914206,0.00019166933,0.00046231915,0.00019753784,0.00018986774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007691559,0.00019245052,0.00042296766,0.00025156827,0.00022767806,0.000016390548,0.00036960872,0.0003079843,0.000023432636],"category_scores_gemma":[0.0003544173,0.00018071872,0.0000904957,0.0008074942,0.0007857118,0.000043931883,0.00006917114,0.00079640385,0.0000683388],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054813656,0.000029985462,0.00016151415,0.0002206005,0.0000022209679,0.0000056185095,0.00095352106,0.0000074861277,0.34941408,0.6472824,0.00027954477,0.0015881808],"study_design_scores_gemma":[0.0034564412,0.024579022,0.047164604,0.0004161064,0.00007462263,0.00017408149,0.005211926,0.0022340573,0.814251,0.099273786,0.0012520235,0.0019123222],"about_ca_topic_score_codex":0.00010374013,"about_ca_topic_score_gemma":0.00005469489,"teacher_disagreement_score":0.5480087,"about_ca_system_score_codex":0.000029726547,"about_ca_system_score_gemma":0.00018397337,"threshold_uncertainty_score":0.73694956},"labels":[],"label_agreement":null},{"id":"W4387729682","doi":"10.1152/jn.00056.2023","title":"Resilience of FEF neuronal saccade code to V4 perturbations","year":2023,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Institute of Neurological Disorders and Stroke; National Eye Institute; National Institute of Mental Health; National Institutes of Health","keywords":"Saccade; Neuroscience; Predictability; Eye movement; Psychology; Neuron; Microsaccade; Physics; Saccadic masking","score_opus":0.038767334062187624,"score_gpt":0.2902846277186975,"score_spread":0.2515172936565099,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387729682","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962724,0.0000016156837,0.0001341293,0.002058418,0.0012244444,0.00007697927,0.000022067843,0.000022274518,0.00018766992],"genre_scores_gemma":[0.996919,0.00006979346,0.00006806295,0.002212688,0.00018131417,0.0000016356103,9.739387e-7,0.000014758631,0.000531825],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99870265,0.00017532216,0.00042035122,0.00022060507,0.00026293355,0.00021813365],"domain_scores_gemma":[0.9987405,0.00058432453,0.0002868288,0.00017460136,0.00010778539,0.00010596847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005931465,0.000101851685,0.00023139842,0.0002937891,0.00008787606,0.00001300715,0.00037192498,0.000039399143,0.000033096298],"category_scores_gemma":[0.0014366945,0.00008151135,0.00011633119,0.0007391484,0.000100351244,0.00012722219,0.00010696213,0.00026233622,0.00009765029],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012165622,0.00004094432,0.000025684016,0.0000068975764,0.0000020220423,0.00006366626,0.000040416075,0.01754337,0.9789752,0.00091821287,0.0014543352,0.0008075959],"study_design_scores_gemma":[0.0012249061,0.008239426,0.6074025,0.00007690182,0.00004781876,0.0007952108,0.000065243046,0.0389968,0.2964156,0.008269041,0.037984636,0.00048191685],"about_ca_topic_score_codex":0.0000022848715,"about_ca_topic_score_gemma":7.289904e-7,"teacher_disagreement_score":0.6825596,"about_ca_system_score_codex":0.000015806138,"about_ca_system_score_gemma":0.00005152831,"threshold_uncertainty_score":0.33239365},"labels":[],"label_agreement":null},{"id":"W4387782363","doi":"10.1038/s41593-023-01461-x","title":"The rat frontal orienting field dynamically encodes value for economic decisions under risk","year":2023,"lang":"en","type":"article","venue":"Nature Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Major Research Plan; East China Normal University; National Natural Science Foundation of China; Wellcome Trust; York University; New York University Shanghai; Higher Education Discipline Innovation Project; Gatsby Charitable Foundation; NYU-ECNU Institute of Brain and Cognitive Science, New York University Shanghai; Wellcome","keywords":"Lottery; Cued speech; Neuroscience; Psychology; Frontal cortex; Posterior parietal cortex; Cognitive psychology; Economics; Microeconomics","score_opus":0.018859226817238256,"score_gpt":0.2933879804226532,"score_spread":0.27452875360541495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387782363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9722979,0.000026353744,0.008621802,0.004281671,0.013073176,0.00059514336,0.00008979948,0.00028175794,0.0007324048],"genre_scores_gemma":[0.9947779,0.00017807228,0.00013464487,0.0032333662,0.00016084354,0.000039901293,0.0000028871689,0.000022288383,0.0014500704],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979156,0.000117267155,0.00025840133,0.0008010574,0.0003567459,0.0005508899],"domain_scores_gemma":[0.99415267,0.0051540188,0.00015131397,0.00040765855,0.00002860396,0.000105732484],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00055002334,0.00017563111,0.00012979966,0.0001048151,0.0018242683,0.00036919722,0.0008124204,0.00015580122,0.000004585806],"category_scores_gemma":[0.0067914133,0.00012005581,0.00014360233,0.0005144852,0.00020691521,0.00029529817,0.00024014025,0.0006639923,0.00005622198],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016367337,0.00003531353,0.00073371705,0.0000054351462,0.0000018428652,0.000020755286,0.000046710233,0.013437902,0.8446232,0.11996387,0.008169691,0.012797885],"study_design_scores_gemma":[0.0005278574,0.0003866372,0.009092986,0.000019290725,0.00001778847,0.00005240765,0.00006590272,0.840034,0.07238341,0.0402571,0.036751136,0.00041148538],"about_ca_topic_score_codex":0.000009496966,"about_ca_topic_score_gemma":0.00006233163,"teacher_disagreement_score":0.8265961,"about_ca_system_score_codex":0.00006307242,"about_ca_system_score_gemma":0.00008322469,"threshold_uncertainty_score":0.99947524},"labels":[],"label_agreement":null},{"id":"W4387783865","doi":"10.1016/j.neuron.2023.09.022","title":"Radial astrocyte synchronization modulates the visual system during behavioral-state transitions","year":2023,"lang":"en","type":"article","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"École des Neurosciences Paris Île de France; European Research Council; Ministère de l'Enseignement supérieur, de la Recherche et de l'Innovation; Azrieli Foundation; Israel Science Foundation; United States-Israel Binational Science Foundation; H2020 European Research Council; Agence Nationale de la Recherche","keywords":"Locus coeruleus; Optogenetics; Neuroscience; Zebrafish; Astrocyte; Norepinephrine; Neuron; Optic tectum; Biology; Premovement neuronal activity; Physics; Central nervous system; Psychology; Dopamine","score_opus":0.019376536080599714,"score_gpt":0.2550345149095261,"score_spread":0.2356579788289264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387783865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99729204,0.00000254686,0.0004524914,0.00051818613,0.00086161454,0.00027455422,0.000029007497,0.00047061755,0.000098966244],"genre_scores_gemma":[0.9992246,0.000015828211,0.0000026617408,0.0000952265,0.00013202317,0.000028505343,0.000016132266,0.000029909963,0.00045513595],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99887043,0.00012680236,0.00017009473,0.00032509927,0.00023765904,0.0002699311],"domain_scores_gemma":[0.9996432,0.00006388105,0.00005637413,0.00016773726,0.000018624552,0.0000501763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000065531334,0.00012189041,0.00008995178,0.00009711529,0.0004973085,0.0001058491,0.00013370896,0.000033376804,0.000010405574],"category_scores_gemma":[0.00002609133,0.00009578781,0.00006235305,0.000547659,0.000052445164,0.00018499566,0.000036976315,0.00016232223,0.00015426027],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000380684,0.00003296437,0.00012718618,0.00003168061,0.0000014259771,0.0000702917,0.0001719758,0.019736014,0.97704774,0.00029089965,0.000068660214,0.00238311],"study_design_scores_gemma":[0.00081499905,0.0003657471,0.048376895,0.000047394733,0.000038779774,0.00015514898,0.0001279464,0.7622592,0.18702842,0.000072936455,0.0004051411,0.00030740612],"about_ca_topic_score_codex":0.00001435151,"about_ca_topic_score_gemma":0.000009027918,"teacher_disagreement_score":0.7900193,"about_ca_system_score_codex":0.00005333625,"about_ca_system_score_gemma":0.000013979597,"threshold_uncertainty_score":0.39061135},"labels":[],"label_agreement":null},{"id":"W4387811732","doi":"10.1007/s12043-023-02628-8","title":"Synchronization and firing patterns of coupled one-dimensional neuron maps","year":2023,"lang":"en","type":"article","venue":"Pramana","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Synchronization (alternating current); Computer science; Synchronization networks; Electrical Synapses; Topology (electrical circuits); Biological neural network; Piecewise; Biological system; Neuroscience; Mathematics; Biology; Telecommunications; Gap junction; Machine learning","score_opus":0.03057655377662655,"score_gpt":0.2464359108665348,"score_spread":0.21585935708990825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387811732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985642,0.000009275778,0.00037084325,0.0005675296,0.00020798027,0.00010493247,0.000014704606,0.00007390141,0.000086627],"genre_scores_gemma":[0.999349,0.000049760838,0.00001563105,0.00024286068,0.000027772585,0.0000036133724,0.000016816131,0.000010627467,0.00028391185],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937916,0.00003049893,0.00011091974,0.00020065394,0.0001645835,0.000114199705],"domain_scores_gemma":[0.999674,0.00013002745,0.000055908928,0.000094573,0.000016503249,0.000028987442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007658684,0.000057634144,0.00007099705,0.0000724019,0.00006904221,0.000020284555,0.00005163321,0.00002328266,0.000021839574],"category_scores_gemma":[0.00015569312,0.00005618435,0.000016171898,0.00019559961,0.000022623579,0.000095127754,0.000073520256,0.000058185466,0.000022648217],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003428788,0.000059689257,0.01151811,0.00014048122,0.000005201463,0.000027207723,0.00008552339,0.0034760665,0.96447706,0.0043211617,0.00034787672,0.015507337],"study_design_scores_gemma":[0.00049952994,0.0001741441,0.12950543,0.000060146613,0.000014939159,0.000014264771,0.000010963104,0.83946973,0.027505267,0.0020833914,0.0004906634,0.00017155123],"about_ca_topic_score_codex":0.000022281754,"about_ca_topic_score_gemma":0.00001016226,"teacher_disagreement_score":0.9369718,"about_ca_system_score_codex":0.000008930233,"about_ca_system_score_gemma":0.000007173046,"threshold_uncertainty_score":0.22911313},"labels":[],"label_agreement":null},{"id":"W4387823406","doi":"10.1523/eneuro.0282-23.2023","title":"Distributed Coding of Evidence Accumulation across the Mouse Brain Using Microcircuits with a Diversity of Timescales","year":2023,"lang":"en","type":"article","venue":"eNeuro","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; HEC Montréal","funders":"","keywords":"Neuroscience; Brain activity and meditation; Computer science; Biology; Electroencephalography","score_opus":0.23138362274177124,"score_gpt":0.3519376604992401,"score_spread":0.12055403775746884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387823406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99774444,0.000003065737,0.001505601,0.0003939307,0.00006386834,0.0001369704,0.00010200652,0.000043201984,0.0000069195835],"genre_scores_gemma":[0.9996811,0.000012045521,0.000010048977,0.00013773813,0.000012053467,9.5341545e-7,0.000005696716,0.000007768651,0.00013259641],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99916595,0.000106651234,0.00013392816,0.00020123158,0.00024007281,0.00015214537],"domain_scores_gemma":[0.99874556,0.00085775746,0.00015112184,0.00017744733,0.000046062465,0.00002203929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002086193,0.00007431257,0.000101526086,0.000034594486,0.00028738528,0.000020928383,0.00020167074,0.000024191302,0.000003544831],"category_scores_gemma":[0.0007306882,0.000047450027,0.00003991362,0.0006007702,0.00013358073,0.0001782261,0.0002504775,0.00007718384,0.0000028160182],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040807226,0.000012331291,0.008590969,0.000025064368,0.0000022018844,0.000005604135,0.00032002796,0.007422525,0.98309916,0.00008481586,0.000081776794,0.00031473453],"study_design_scores_gemma":[0.00025227692,0.0001030871,0.078677125,0.00007635609,0.000012711655,0.000012631685,0.00009322762,0.06766113,0.8528399,0.000102597965,0.0000619893,0.00010700717],"about_ca_topic_score_codex":0.000054300835,"about_ca_topic_score_gemma":0.000013573092,"teacher_disagreement_score":0.13025928,"about_ca_system_score_codex":0.000017191649,"about_ca_system_score_gemma":0.000014409858,"threshold_uncertainty_score":0.22103643},"labels":[],"label_agreement":null},{"id":"W4387893716","doi":"10.1002/hbm.26525","title":"EEG microstates in early‐to‐middle childhood show associations with age, biological sex, and alpha power","year":2023,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"Australian Research Council; Deakin University","keywords":"Ministate; Electroencephalography; Psychology; Neuroscience","score_opus":0.054339636273009785,"score_gpt":0.2637474818126137,"score_spread":0.20940784553960393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387893716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964573,0.0000047750377,0.00004879299,0.001975186,0.00006993075,0.00031078534,0.000028967812,0.0001707808,0.0009335108],"genre_scores_gemma":[0.99613476,0.0000053379176,0.00006048598,0.002079123,0.00002767595,0.000025130166,0.000026578124,0.000018618046,0.0016222736],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99870735,0.00011250148,0.00018620005,0.00047174806,0.000151675,0.00037052782],"domain_scores_gemma":[0.9993331,0.00037562248,0.00006175322,0.00013814257,0.00001383622,0.00007756313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030755083,0.0001440636,0.00017207571,0.00025397644,0.00036731712,0.00015591602,0.0001261416,0.000064126696,0.00001838987],"category_scores_gemma":[0.00036125488,0.000121458244,0.000029569463,0.00071478024,0.00008522926,0.000117653246,0.00012188492,0.00019565616,0.000049100887],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000067952146,0.00006318169,0.03611031,0.0000068339546,0.000006004253,0.00009344994,0.00358745,0.00006025914,0.9561038,0.002792659,0.00082285266,0.00034637967],"study_design_scores_gemma":[0.00039275526,0.00021833334,0.99465495,0.00004357088,0.0000014778734,0.0000078359935,0.00030183292,0.00013720986,0.00058844266,0.002441003,0.0010083651,0.00020421085],"about_ca_topic_score_codex":0.000032561442,"about_ca_topic_score_gemma":0.00007450634,"teacher_disagreement_score":0.9585447,"about_ca_system_score_codex":0.000037090427,"about_ca_system_score_gemma":0.000010301793,"threshold_uncertainty_score":0.49529234},"labels":[],"label_agreement":null},{"id":"W4387895910","doi":"10.1101/2023.10.20.563146","title":"Closure in the Visual Cortex: How do we sample?","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Polygon (computer graphics); Illusion; Curvature; Luminance; Visual cortex; Eccentricity (behavior); Computer science; Arc length; Mathematics; Geometry; Artificial intelligence; Arc (geometry); Psychology; Neuroscience; Telecommunications","score_opus":0.03516392008537915,"score_gpt":0.25331159482791515,"score_spread":0.218147674742536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387895910","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9870944,0.00019194305,0.00042363707,0.0065259174,0.0036961406,0.0010874593,0.00044727215,0.00052613666,0.0000070997776],"genre_scores_gemma":[0.99718845,0.000854422,0.00016681475,0.000825827,0.00056863733,0.0002379108,3.6796627e-7,0.00013685897,0.000020711135],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9962254,0.00046448412,0.0004296629,0.0014330561,0.00075829093,0.00068907585],"domain_scores_gemma":[0.9974013,0.00075491617,0.0003611235,0.0012163606,0.00012663504,0.00013967374],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008698635,0.0005541161,0.0004635425,0.00036727783,0.0002463932,0.00075817876,0.0011053312,0.00046311546,0.000023183224],"category_scores_gemma":[0.001476795,0.0004540305,0.00020393041,0.0012836142,0.00016529452,0.00018204594,0.00059345074,0.0014392129,0.00012832205],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039143266,0.0001876041,0.008716507,0.0002444,0.000020322695,0.00027896717,0.00002623466,0.00009922604,0.9833787,0.0056873066,0.0013126051,0.000008963638],"study_design_scores_gemma":[0.0018591844,0.00047130766,0.7231438,0.0013977014,0.00018716244,2.530353e-7,0.000051919815,0.011252668,0.2055779,0.00042254906,0.052208953,0.0034265989],"about_ca_topic_score_codex":0.00006172355,"about_ca_topic_score_gemma":0.000018810606,"teacher_disagreement_score":0.7778008,"about_ca_system_score_codex":0.0001668888,"about_ca_system_score_gemma":0.00028953736,"threshold_uncertainty_score":0.99979115},"labels":[],"label_agreement":null},{"id":"W4387934614","doi":"10.1073/pnas.2220749120","title":"Predictions and rewards affect decision-making but not subjective experience","year":2023,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"HORIZON EUROPE Excellent Science; H2020 European Research Council; Agencia Nacional de Investigación y Desarrollo; Leverhulme Trust; Horizon 2020 Framework Programme; Wellcome Trust; Canadian Institute for Advanced Research","keywords":"Illusion; Perception; Affect (linguistics); Stochastic game; Prior probability; Cognitive psychology; Sensory system; Psychology; Cognition; Stimulus (psychology); Computer science; Bayes' theorem; Bayesian inference; Bayesian probability; Artificial intelligence; Mathematics; Communication; Mathematical economics","score_opus":0.056515544546111324,"score_gpt":0.34044241495737315,"score_spread":0.28392687041126186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387934614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99644035,0.0000076134434,0.000006776262,0.0010996981,0.00007864046,0.00016475059,0.000023260016,0.0000388963,0.0021400207],"genre_scores_gemma":[0.9992409,0.00004268396,0.00021389207,0.0003132457,0.000048046564,0.000016318025,2.4849884e-8,0.000003695855,0.00012122097],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981909,0.0000089197365,0.0002101234,0.00034584032,0.0010917251,0.00015252658],"domain_scores_gemma":[0.998802,0.00082020485,0.0002286022,0.000008358849,0.000112325135,0.00002847716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007940946,0.00007964788,0.00010260343,0.00023398368,0.00047197493,0.000045080687,0.0004643113,0.000050920273,0.000005386352],"category_scores_gemma":[0.004142134,0.00005315201,0.00005046058,0.0016359827,0.0008835684,0.00056372373,0.00022661245,0.00013448157,0.0000019073584],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023021606,0.0000129035525,0.0027764966,0.000015284772,0.0000016787145,1.5990805e-8,0.00029557417,0.00022669086,0.97132814,0.024070866,0.0001928555,0.0010564848],"study_design_scores_gemma":[0.00012106052,0.00008549333,0.29071072,0.00014893485,0.0000056905137,0.000028731802,0.0003810703,0.03411743,0.6019394,0.07229985,0.00006323139,0.0000984218],"about_ca_topic_score_codex":0.0000026824232,"about_ca_topic_score_gemma":6.557212e-8,"teacher_disagreement_score":0.36938876,"about_ca_system_score_codex":0.00002583799,"about_ca_system_score_gemma":0.000019175697,"threshold_uncertainty_score":0.49588203},"labels":[],"label_agreement":null},{"id":"W4387937729","doi":"10.1101/2023.10.24.563271","title":"Visual statistical learning alters low-dimensional cortical architecture","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":true,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Perirhinal cortex; Visual cortex; Entorhinal cortex; Psychology; Neuroscience; Temporal lobe; Temporal cortex; Sensory system; Cognitive psychology; Cognition; Hippocampus; Recognition memory","score_opus":0.02019176486763974,"score_gpt":0.2507792400680395,"score_spread":0.23058747520039974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387937729","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98151064,0.000021924732,0.012898734,0.00047480062,0.003233892,0.000545746,0.0002909317,0.0010174998,0.000005802533],"genre_scores_gemma":[0.99724144,0.000031172058,0.001111473,0.0007563733,0.00054217887,0.00008792388,0.0000015053483,0.00019203399,0.000035882753],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99559593,0.00049175887,0.0005701625,0.0016560053,0.0008604741,0.0008256658],"domain_scores_gemma":[0.9976625,0.0008840026,0.00028275602,0.00058640685,0.0001514216,0.00043293968],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00048405075,0.0005927827,0.0005363058,0.00030945012,0.00041462982,0.00030945483,0.0004458161,0.0004530501,0.00009778317],"category_scores_gemma":[0.002521802,0.0005892391,0.00017336092,0.00050986616,0.0003075621,0.00009222338,0.00084136106,0.0026176125,0.00046584246],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008774195,0.00012638414,0.0006937346,0.00018365921,0.000027738097,0.00043777635,0.0000039626407,0.005187134,0.99013126,0.0027804421,0.0003343557,0.0000058075834],"study_design_scores_gemma":[0.0017308533,0.0007953992,0.1574994,0.001088517,0.00026842515,5.777386e-7,0.0000046078426,0.211827,0.6189547,0.00017138165,0.0040326915,0.0036264346],"about_ca_topic_score_codex":0.000021921958,"about_ca_topic_score_gemma":0.0000014750167,"teacher_disagreement_score":0.37117657,"about_ca_system_score_codex":0.0001922922,"about_ca_system_score_gemma":0.0003620875,"threshold_uncertainty_score":0.9996834},"labels":[],"label_agreement":null},{"id":"W4387949129","doi":"10.7554/elife.82823","title":"Quantifying decision-making in dynamic, continuously evolving environments","year":2023,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"European Social Fund; Fundação para a Ciência e a Tecnologia; Institut National de Physique Nucléaire et de Physique des Particules; Agencia Nacional de Promoción Científica y Tecnológica; Science and Technology Facilities Council; Medical Research Council; Natural Sciences and Engineering Research Council of Canada; Narodowa Agencja Wymiany Akademickiej; Centre National pour la Recherche Scientifique et Technique; Centre National de la Recherche Scientifique; Israel Science Foundation; Japan Society for the Promotion of Science; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Bundesministerium für Wissenschaft, Forschung und Wirtschaft; Generalitat Valenciana; Austrian Science Fund; European Regional Development Fund; Bundesministerium für Bildung und Forschung; Ministerstvo Školství, Mládeže a Tělovýchovy; U.S. Department of Energy; National Natural Science Foundation of China; Fundação de Amparo à Pesquisa do Estado de São Paulo; H2020 Marie Skłodowska-Curie Actions; Javna Agencija za Raziskovalno Dejavnost RS; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Ministry of Education, Culture, Sports, Science and Technology; National Science Foundation; Compute Canada; Max-Planck-Gesellschaft; Royal Society; Leverhulme Trust; Wellcome Trust; Danmarks Grundforskningsfond; Alexander von Humboldt-Stiftung; British Columbia Knowledge Development Fund; Türkiye Enerji, Nükleer ve Maden Araştırma Kurumu; Deutsche Forschungsgemeinschaft; Centres de Recerca de Catalunya; CERN; Agence Nationale de la Recherche; Agencia Nacional de Investigación y Desarrollo; Generalitat de Catalunya; Canarie; Ministerio de Ciencia e Innovación; European Commission","keywords":"Sensory system; Electroencephalography; Flexibility (engineering); Perception; Weighting; Cognitive psychology; Neuroscience; Computer science; Process (computing); Psychology; Mathematics; Statistics; Medicine","score_opus":0.037107680609788134,"score_gpt":0.30762105862305894,"score_spread":0.2705133780132708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387949129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968645,0.00002391967,0.0014010398,0.00015763957,0.0007268322,0.0001474847,0.0000050628464,0.00011822111,0.0005553152],"genre_scores_gemma":[0.99860245,0.00009876772,0.00019952511,0.0005972759,0.00003056112,0.000010562957,0.0000026514217,0.000023427983,0.00043479883],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99860686,0.000058375383,0.00024121156,0.00039706932,0.0003745193,0.00032196837],"domain_scores_gemma":[0.99907076,0.0006116472,0.000070321694,0.00019972531,0.0000053161284,0.000042216758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028879606,0.00011254798,0.0001312771,0.00020939423,0.00014115106,0.00007109481,0.00014896477,0.00004963355,0.00006132265],"category_scores_gemma":[0.0011327594,0.00010888444,0.000048179943,0.0005028364,0.000032061092,0.00020280102,0.00014330022,0.00016300479,0.00067465083],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004504813,0.00006331427,0.02070387,0.000013248635,0.0000027239041,0.00042613564,0.0002993119,0.0030257846,0.9182565,0.00058428163,0.00085624604,0.055723514],"study_design_scores_gemma":[0.00070862664,0.0000708651,0.30254278,0.00026502795,0.0000050770545,0.000031491054,0.00015590912,0.68014306,0.009296015,0.0013309731,0.00502983,0.00042036135],"about_ca_topic_score_codex":0.0000071538625,"about_ca_topic_score_gemma":0.000056771296,"teacher_disagreement_score":0.9089605,"about_ca_system_score_codex":0.000072032824,"about_ca_system_score_gemma":0.000010227846,"threshold_uncertainty_score":0.86714965},"labels":[],"label_agreement":null},{"id":"W4387956572","doi":"10.1177/23727322231195268","title":"Perceptual Learning: Policy Insights From Basic Research to Real-World Applications","year":2023,"lang":"en","type":"article","venue":"Policy Insights from the Behavioral and Brain Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; McMaster University","funders":"Biotechnology and Biological Sciences Research Council","keywords":"Perception; Agency (philosophy); Translational research; Perceptual learning; Psychology; Cognitive science; Cognitive psychology; Computer science; Neuroscience; Medicine; Sociology","score_opus":0.21102188750700257,"score_gpt":0.42783474235876745,"score_spread":0.21681285485176488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387956572","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9515109,0.000026531461,0.000014548052,0.042854615,0.00018961178,0.00060454535,0.000113269845,0.00024104414,0.004444922],"genre_scores_gemma":[0.98808664,0.00014895973,0.000048490983,0.0035286408,0.001326952,0.00018421606,0.000041471398,0.000025558045,0.006609078],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9960597,0.0006931785,0.0003486913,0.0011269783,0.0010687953,0.00070265925],"domain_scores_gemma":[0.99673665,0.0022515985,0.000096172786,0.00047840888,0.00008622384,0.00035095465],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004247374,0.00027156962,0.00025201918,0.0010434503,0.0030458365,0.00066160015,0.0011165813,0.00009487149,0.000047903482],"category_scores_gemma":[0.00067385397,0.00016885284,0.0000847429,0.007278828,0.0015640011,0.0004351571,0.0006538344,0.0005412949,0.0005722666],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004057542,0.0001593946,0.00400034,0.000003955061,0.000004730614,0.000019293746,0.00980356,0.000117585034,0.7779378,0.17587325,0.006260869,0.025778642],"study_design_scores_gemma":[0.00081956177,0.0012189765,0.31475154,0.000102811646,0.000038476053,0.000011679825,0.0061962823,0.0044585126,0.021918792,0.31077263,0.33846337,0.0012473789],"about_ca_topic_score_codex":0.044049554,"about_ca_topic_score_gemma":0.0060546333,"teacher_disagreement_score":0.756019,"about_ca_system_score_codex":0.00011421122,"about_ca_system_score_gemma":0.0002889892,"threshold_uncertainty_score":0.99825203},"labels":[],"label_agreement":null},{"id":"W4387965059","doi":"10.1113/jp281510","title":"Silences, spikes and bursts: Three‐part knot of the neural code","year":2023,"lang":"en","type":"review","venue":"The Journal of Physiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Neuroscience; Neural coding; Physics; Computer science; Communication; Biology; Psychology","score_opus":0.10938450439680086,"score_gpt":0.3312126228588758,"score_spread":0.22182811846207495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387965059","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034317993,0.9603829,0.0000056762183,0.0007027541,0.0038927896,0.0005222357,0.00008369974,0.000015905853,0.00007608655],"genre_scores_gemma":[0.0053923745,0.9937788,0.0000018097404,0.0001713756,0.0004405064,0.0000028153781,7.920683e-7,0.000021601749,0.000189902],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981719,0.0006606753,0.0005999317,0.0001640324,0.00021479894,0.00018861158],"domain_scores_gemma":[0.99703133,0.0012883296,0.0013069148,0.00028950782,0.000047942263,0.00003596686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004377579,0.00020003814,0.0008486668,0.00007545921,0.00013518517,0.000012626066,0.0007772517,0.00010072913,0.000017726166],"category_scores_gemma":[0.0003690427,0.00008198811,0.00031188107,0.00031314473,0.000458568,0.00006258566,0.00017781867,0.000613886,0.000008126397],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002623838,0.00019558103,0.000015779235,0.010912672,0.00022646003,0.000034659504,0.00025586085,0.0004507678,0.285156,0.004633626,0.0070158825,0.6908403],"study_design_scores_gemma":[0.00071061397,0.0020998754,0.0011836514,0.012454096,0.0020659366,0.0025749488,0.00009380241,0.0012770747,0.0019536268,0.022984298,0.9518549,0.00074720354],"about_ca_topic_score_codex":0.000009513042,"about_ca_topic_score_gemma":0.0000147903065,"teacher_disagreement_score":0.944839,"about_ca_system_score_codex":0.00001862147,"about_ca_system_score_gemma":0.00008272775,"threshold_uncertainty_score":0.3343378},"labels":[],"label_agreement":null},{"id":"W4388013865","doi":"10.1162/jocn_a_02079","title":"Rhythmically Modulating Neural Entrainment during Exposure to Regularities Influences Statistical Learning","year":2023,"lang":"en","type":"article","venue":"Journal of Cognitive Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Entrainment (biomusicology); Psychology; Stimulus (psychology); Rhythm; Perception; Statistical learning; Cognitive psychology; Implicit learning; Visual perception; Communication; Cognition; Neuroscience; Artificial intelligence; Computer science","score_opus":0.030030750828328234,"score_gpt":0.28793432365024335,"score_spread":0.2579035728219151,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388013865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952482,0.000004933321,0.0027040918,0.0007276416,0.0009536941,0.00016490245,0.0000171893,0.00006559782,0.00011377406],"genre_scores_gemma":[0.99796164,0.00003138284,0.00012247369,0.0014576995,0.0001841202,0.0000058066526,6.55394e-7,0.000017918928,0.0002183236],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99716836,0.00029637798,0.000536946,0.00041991426,0.0010309614,0.0005474426],"domain_scores_gemma":[0.9980683,0.0010639646,0.0003239362,0.0000858714,0.00017749425,0.00028046803],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0005363989,0.0001787281,0.0002398936,0.00034413865,0.00047824415,0.00024788245,0.0002938469,0.000038334907,0.00001757521],"category_scores_gemma":[0.011164334,0.00015241122,0.00008830997,0.0010318832,0.00027602786,0.00059880846,0.00017521787,0.00050012156,0.000018758723],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012143612,0.000031537093,0.00230941,0.000013857508,0.0000011331499,0.0006134192,0.00036615212,0.015571099,0.976621,0.00037367057,0.000017088554,0.0039602397],"study_design_scores_gemma":[0.001182362,0.003243244,0.7893284,0.000374232,0.000030280495,0.001601846,0.00097032596,0.051873606,0.1494793,0.0011560493,0.00024132182,0.0005190229],"about_ca_topic_score_codex":0.0000013456958,"about_ca_topic_score_gemma":6.7008517e-7,"teacher_disagreement_score":0.82714164,"about_ca_system_score_codex":0.000045262994,"about_ca_system_score_gemma":0.0000657024,"threshold_uncertainty_score":0.997165},"labels":[],"label_agreement":null},{"id":"W4388019593","doi":"10.1371/journal.pone.0293546","title":"Repetitive sensorimotor mu-alpha phase-targeted afferent stimulation produces no phase-dependent plasticity related changes in somatosensory evoked potentials or sensory thresholds","year":2023,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"H2020 European Research Council; Deutsche Forschungsgemeinschaft; Bundesministerium für Wirtschaft und Energie; European Commission","keywords":"Neuroscience; Somatosensory system; Stimulation; Transcranial magnetic stimulation; Sensory system; Somatosensory evoked potential; Neuroplasticity; Spike-timing-dependent plasticity; Motor cortex; Primary motor cortex; Sensory processing; Electroencephalography; Evoked potential; Physics; Psychology; Postsynaptic potential; Biology","score_opus":0.09548141858249586,"score_gpt":0.29634479784663703,"score_spread":0.20086337926414116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388019593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954768,0.000012716379,0.000015439991,0.0008200967,0.0006238911,0.0016948476,0.00032400974,0.00076808815,0.0002641352],"genre_scores_gemma":[0.99321276,0.00020331539,0.00007395306,0.0001719738,0.00027452267,0.000116054245,0.000113507034,0.0000807331,0.005753184],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.996044,0.00044998268,0.0006335639,0.0011674865,0.0010300718,0.000674896],"domain_scores_gemma":[0.9981265,0.0007700308,0.00034525053,0.0003914126,0.00020322899,0.00016358249],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038378575,0.00039730265,0.00056799426,0.0005554278,0.00027110436,0.00010077847,0.00021446821,0.00021485882,0.00036817745],"category_scores_gemma":[0.002708993,0.00034734278,0.0000864604,0.00094202394,0.00012391523,0.00031141896,0.00012719088,0.00043288775,0.0005052153],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013208721,0.003361048,0.0005430176,0.00015413327,0.000062303494,0.00033162092,0.00025574645,0.0003699219,0.99297005,0.00007431815,0.00007519538,0.00048177477],"study_design_scores_gemma":[0.0045626326,0.001196367,0.0035717078,0.00027351396,0.00010426181,0.000015823372,0.0000786546,0.12685512,0.8626502,0.00023361121,0.000020877746,0.0004372369],"about_ca_topic_score_codex":0.000027487826,"about_ca_topic_score_gemma":0.00008385989,"teacher_disagreement_score":0.13031985,"about_ca_system_score_codex":0.00016716454,"about_ca_system_score_gemma":0.00006424827,"threshold_uncertainty_score":0.99989784},"labels":[],"label_agreement":null},{"id":"W4388115406","doi":"10.1101/2023.10.27.564407","title":"Increasing spectral DCM flexibility and speed by leveraging Julia’s ModelingToolkit and automated differentiation","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Flexibility (engineering); Computation; Computer science; Algorithm; Mathematics; Statistics","score_opus":0.0356417377491983,"score_gpt":0.2447784074145401,"score_spread":0.2091366696653418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388115406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99476624,0.00012860357,0.0010859435,0.00034088976,0.0010632653,0.00060530973,0.0002980387,0.0017081866,0.000003503825],"genre_scores_gemma":[0.99854827,0.00031007917,0.000594347,0.00022064998,0.00017049834,0.000022983795,0.0000017415315,0.00011922614,0.000012220368],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965867,0.00029647298,0.0005267834,0.0016349086,0.00041277404,0.0005423732],"domain_scores_gemma":[0.9983882,0.00022397935,0.000349044,0.00066534284,0.00012302345,0.00025042603],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00067887997,0.00053304655,0.00049302913,0.00024667615,0.0003439918,0.00065150426,0.0002682554,0.0003531981,0.000009109944],"category_scores_gemma":[0.00083085115,0.0005689779,0.00008142425,0.00037694388,0.00015356104,0.00029842943,0.0006324787,0.00072264083,0.000014863003],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004803864,0.000053357584,0.0068887267,0.00023024096,0.000020700474,0.000016970263,0.000011165139,0.00039191698,0.9920258,0.00016201929,0.00014691343,0.0000041379253],"study_design_scores_gemma":[0.0005373284,0.00004448664,0.12819381,0.00024789726,0.0000802829,1.5418881e-7,0.000002145868,0.6553706,0.21460643,0.00006564863,0.000071651906,0.0007795797],"about_ca_topic_score_codex":0.00029162376,"about_ca_topic_score_gemma":0.0000038096405,"teacher_disagreement_score":0.7774194,"about_ca_system_score_codex":0.00023373665,"about_ca_system_score_gemma":0.00012561303,"threshold_uncertainty_score":0.99967617},"labels":[],"label_agreement":null},{"id":"W4388125868","doi":"10.7554/elife.91034","title":"A dynamic neural resource model bridges sensory and working memory","year":2023,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Wellcome Trust; McMaster University","keywords":"Sensory system; Working memory; Sensory memory; Encoding (memory); Computer science; Recall; Population; Representation (politics); Neuroscience; Cognition; Artificial intelligence; Cognitive psychology; Psychology","score_opus":0.05044865677777285,"score_gpt":0.2678018339528787,"score_spread":0.21735317717510586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388125868","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99633205,0.00003106348,0.0001536207,0.0015466902,0.00023989743,0.00010567437,0.000009158725,0.0003212356,0.0012605882],"genre_scores_gemma":[0.9906687,0.00007261649,0.00004661503,0.0024037766,0.00005510117,0.000006613464,0.0000040260147,0.000024011106,0.0067185275],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99894565,0.000058516773,0.00012625106,0.00036557607,0.00024347477,0.00026054436],"domain_scores_gemma":[0.9995245,0.00017105733,0.000043749973,0.00017571305,0.00000957755,0.00007544786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014347966,0.000110183595,0.00010358617,0.000104914725,0.00019676365,0.000067685716,0.000085099105,0.000042780637,0.0000035783928],"category_scores_gemma":[0.0001970454,0.00010278843,0.000038173348,0.0002625378,0.00006929955,0.000084832354,0.00012289132,0.0001615932,0.000057607005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007262754,0.000026621183,0.0006137091,0.000032822147,0.0000041419426,0.00020748658,0.0004790478,0.09599596,0.86852694,0.00083437294,0.0036565964,0.029549684],"study_design_scores_gemma":[0.0001536372,0.000021139635,0.0030171499,0.0000116048195,0.0000037964232,0.000040489933,0.000054215918,0.99107987,0.0044195578,0.00016385473,0.0009126252,0.00012204993],"about_ca_topic_score_codex":0.000005437761,"about_ca_topic_score_gemma":0.0000076753095,"teacher_disagreement_score":0.8950839,"about_ca_system_score_codex":0.000019166322,"about_ca_system_score_gemma":0.000010323504,"threshold_uncertainty_score":0.41915905},"labels":[],"label_agreement":null},{"id":"W4388125870","doi":"10.7554/elife.91034.1.sa3","title":"eLife Assessment: A dynamic neural resource model bridges sensory and working memory","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Wellcome Trust; McMaster University","keywords":"Sensory system; Sensory memory; Working memory; Computer science; Recall; Encoding (memory); Representation (politics); Population; Artificial intelligence; Neuroscience; Cognitive psychology; Psychology; Cognition","score_opus":0.08373454083315764,"score_gpt":0.33545655925673384,"score_spread":0.2517220184235762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388125870","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.048109315,0.02858465,0.007574215,0.5560185,0.03176889,0.010787247,0.0036408887,0.008263897,0.3052524],"genre_scores_gemma":[0.018186364,0.01976325,0.0002515634,0.033470336,0.0003670697,0.00009065088,0.00034516677,0.00022895721,0.92729664],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996271,0.00027573446,0.00056680077,0.0013805983,0.00091152283,0.0005943015],"domain_scores_gemma":[0.9981368,0.00063741277,0.00033056684,0.0006480341,0.00006185585,0.00018529636],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005128146,0.000564385,0.00073487405,0.0002714735,0.00032137093,0.00023101043,0.00043252658,0.00027042566,0.000046685618],"category_scores_gemma":[0.0004601984,0.00049147336,0.00023327924,0.00043066987,0.000153145,0.0001334751,0.0005162274,0.0011077009,0.000056886805],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028995839,0.000071379734,0.00001206975,0.0031270545,0.000031481322,0.0002777304,0.000029699557,0.0066627236,0.010832048,0.0009186477,0.91288024,0.06512791],"study_design_scores_gemma":[0.00019310942,0.000047063564,0.00005946955,0.0012115713,0.000094074145,0.00009900147,0.00001944169,0.8709939,0.0000553472,0.00017845654,0.12648983,0.0005587041],"about_ca_topic_score_codex":0.00006628108,"about_ca_topic_score_gemma":0.00012807814,"teacher_disagreement_score":0.8643312,"about_ca_system_score_codex":0.00018867727,"about_ca_system_score_gemma":0.00011291653,"threshold_uncertainty_score":0.9997537},"labels":[],"label_agreement":null},{"id":"W4388125929","doi":"10.7554/elife.91034.1","title":"A dynamic neural resource model bridges sensory and working memory","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Wellcome Trust; McMaster University","keywords":"Sensory system; Sensory memory; Working memory; Computer science; Encoding (memory); Recall; Population; Representation (politics); Neuroscience; Cognitive psychology; Artificial intelligence; Psychology; Cognition","score_opus":0.08467039122708672,"score_gpt":0.2818074069794994,"score_spread":0.1971370157524127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388125929","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98675007,0.000057925172,0.0029276507,0.0032696105,0.0011540147,0.00048085768,0.000055160406,0.00087130384,0.004433423],"genre_scores_gemma":[0.9581589,0.00016590141,0.00032734787,0.001776358,0.00008344763,0.000028542565,0.000019237033,0.00008336877,0.03935689],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99766576,0.00012735439,0.0003009114,0.0011679638,0.0003477566,0.00039026103],"domain_scores_gemma":[0.9988547,0.00033208448,0.00015361604,0.000524677,0.00001895733,0.00011599165],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020575104,0.0003412823,0.00030857182,0.0002136366,0.0002057529,0.000253365,0.0003110298,0.00023548614,0.000008315697],"category_scores_gemma":[0.00022736406,0.00031351205,0.00012636655,0.00014359869,0.00013716603,0.00006879976,0.0013525585,0.0008622719,0.000030124806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011865381,0.000059161524,0.0001933167,0.0003205178,0.000018553548,0.00026112085,0.00036130034,0.77726805,0.18859021,0.0018789213,0.0020166049,0.028913572],"study_design_scores_gemma":[0.00013403714,0.000019260018,0.00057949574,0.00007127508,0.000017709286,0.000042124837,0.000046293233,0.99336874,0.0011130215,0.004151036,0.000115017625,0.00034200665],"about_ca_topic_score_codex":0.000055690467,"about_ca_topic_score_gemma":0.0000637277,"teacher_disagreement_score":0.21610066,"about_ca_system_score_codex":0.000067418085,"about_ca_system_score_gemma":0.000036545778,"threshold_uncertainty_score":0.9999317},"labels":[],"label_agreement":null},{"id":"W4388191255","doi":"10.1101/2023.10.25.563871","title":"Cortico-thalamic communication for action coordination in a skilled motor sequence","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"National Institute of Mental Health; National Institutes of Health","keywords":"Projection (relational algebra); Order (exchange); Neuroscience; Neuron; Psychology; Computer science; Economics; Algorithm","score_opus":0.0666289142816462,"score_gpt":0.28883570486366783,"score_spread":0.22220679058202164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388191255","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910741,0.000040798735,0.002864215,0.0012744407,0.0018476851,0.0020305635,0.00028002897,0.0005844187,0.000003737958],"genre_scores_gemma":[0.9971005,0.0002791575,0.000949855,0.00022740038,0.00014116113,0.0011111463,0.0000023346913,0.00012342208,0.00006506183],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9972782,0.00026997298,0.0006044669,0.0010440506,0.00035018605,0.0004531369],"domain_scores_gemma":[0.9974884,0.00047311178,0.0005736045,0.0010828356,0.00027859845,0.000103447994],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006786724,0.00038583815,0.00040403695,0.00048554232,0.00024135665,0.0002415833,0.0005957666,0.00041687174,0.000008184896],"category_scores_gemma":[0.0017754879,0.00043994066,0.00014279701,0.0007340427,0.00010976199,0.0003186449,0.00033811916,0.0006800461,0.00005291953],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060894643,0.000106993226,0.001089447,0.00022139215,0.000009468433,0.0000098919845,0.0000070023802,0.00040017077,0.99601233,0.0019754895,0.00009885913,0.000008047472],"study_design_scores_gemma":[0.0018048114,0.0002054886,0.15470807,0.0008472854,0.00009234939,7.601527e-8,0.000008242542,0.21925208,0.6199624,0.000282974,0.0015028922,0.0013333366],"about_ca_topic_score_codex":0.00011069381,"about_ca_topic_score_gemma":0.00003605624,"teacher_disagreement_score":0.37604997,"about_ca_system_score_codex":0.0006426929,"about_ca_system_score_gemma":0.000247491,"threshold_uncertainty_score":0.9998052},"labels":[],"label_agreement":null},{"id":"W4388208561","doi":"10.1007/s42113-023-00183-4","title":"Modeling Time Cell Neuron-Level Dynamics","year":2023,"lang":"en","type":"article","venue":"Computational Brain & Behavior","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Neuron; Time constant; Standard deviation; Mechanism (biology); Biological system; Interval (graph theory); Neuroscience; Artificial neural network; Artificial intelligence; Physics; Mathematics; Statistics; Biology","score_opus":0.060961865357620756,"score_gpt":0.28569458241050233,"score_spread":0.22473271705288156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388208561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98051804,0.0000024459719,0.015563716,0.0017865803,0.00055222824,0.00030341,0.00020153113,0.00042576558,0.0006462643],"genre_scores_gemma":[0.99076945,0.000002175788,0.0006588775,0.0016488201,0.000085150044,0.00004445621,0.00032295793,0.000047228714,0.0064208885],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99834377,0.0000851615,0.00027287047,0.0005204746,0.00045275688,0.00032497503],"domain_scores_gemma":[0.99908704,0.00050024514,0.0000614921,0.00017800134,0.000068174966,0.000105051535],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00015598313,0.00017927271,0.00014178557,0.0002043848,0.00027960492,0.00010157235,0.0002559913,0.00006637091,0.00008495371],"category_scores_gemma":[0.0001762669,0.00018946438,0.000099872435,0.0006168068,0.000054459477,0.00019209388,0.0001350971,0.00019815877,0.001416319],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018119767,0.0001599625,0.00021915771,0.000010734727,0.0000015360001,0.0001166696,0.000059364833,0.8619164,0.12018745,0.003921497,0.0027665275,0.010622546],"study_design_scores_gemma":[0.00029724988,0.00005529695,0.004937231,0.0000058218952,0.000009716771,0.000025680916,0.000009891931,0.9916549,0.00045273607,0.002215888,0.00012989086,0.00020569625],"about_ca_topic_score_codex":0.000008583596,"about_ca_topic_score_gemma":0.0000026239222,"teacher_disagreement_score":0.12973846,"about_ca_system_score_codex":0.000075136864,"about_ca_system_score_gemma":0.000059598646,"threshold_uncertainty_score":0.9993612},"labels":[],"label_agreement":null},{"id":"W4388373562","doi":"10.1101/2023.11.03.565500","title":"The feature landscape of visual cortex","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute; Canadian Institute for Advanced Research; McGill University; Montreal Neurological Institute and Hospital","funders":"Fonds de recherche du Québec – Nature et technologies; Biotechnology and Biological Sciences Research Council; Canadian Institutes of Health Research; Office of Naval Research; Compute Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research; Nvidia","keywords":"Visual cortex; ENCODE; Feature (linguistics); Neuroscience; Visual perception; Computer science; Cortical neurons; Perception; Pattern recognition (psychology); Psychology; Artificial intelligence; Biology","score_opus":0.019140866535479462,"score_gpt":0.24026791755047489,"score_spread":0.2211270510149954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388373562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924526,0.00022244673,0.00015516208,0.0011364508,0.0046625505,0.00061663816,0.0002547166,0.00047548054,0.000023920937],"genre_scores_gemma":[0.99848384,0.00052936835,0.00007974772,0.00023016955,0.00037138083,0.00007531574,2.0923181e-7,0.00010721494,0.0001227834],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975974,0.00016667628,0.0003804764,0.0008697454,0.0005255117,0.00046017533],"domain_scores_gemma":[0.99784595,0.0004068722,0.0004645275,0.0009449644,0.00020560053,0.00013206177],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00045708552,0.00037478676,0.00037266064,0.00015994358,0.0003148442,0.00023458447,0.00071861973,0.00036991053,0.000012447034],"category_scores_gemma":[0.0008224483,0.00028746453,0.00018543248,0.0006672707,0.00018210946,0.00008289513,0.0006237652,0.0008591772,0.00008922182],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038739163,0.000054311276,0.0012108216,0.00011636068,0.000023716262,0.000036860703,0.0000024056394,0.000050527204,0.9947223,0.0016294937,0.0021110505,0.0000034039567],"study_design_scores_gemma":[0.00054703635,0.00019799526,0.20097116,0.00033425092,0.0001007481,4.5543132e-8,0.000004917067,0.012724976,0.77011573,0.000032621803,0.014042929,0.000927591],"about_ca_topic_score_codex":0.000014025369,"about_ca_topic_score_gemma":0.000003930152,"teacher_disagreement_score":0.22460657,"about_ca_system_score_codex":0.00006176418,"about_ca_system_score_gemma":0.0002383765,"threshold_uncertainty_score":0.99995774},"labels":[],"label_agreement":null},{"id":"W4388459989","doi":"10.1163/22134468-bja10097","title":"Causation Bridges the Two Times","year":2023,"lang":"en","type":"article","venue":"Timing & Time Perception","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Causation; Affordance; Contingency; Phenomenology (philosophy); Epistemology; Bridge (graph theory); Philosophy of science; Psychology; Cognitive science; Causality (physics); Cognitive psychology; Philosophy; Physics; Quantum mechanics","score_opus":0.05054053079210988,"score_gpt":0.29257486138093375,"score_spread":0.24203433058882387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388459989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99058264,0.000001694089,0.0002976463,0.0034959132,0.00031248585,0.00019420432,0.000007575697,0.0004437047,0.0046641114],"genre_scores_gemma":[0.97180235,0.00002088641,0.00003413881,0.00066191226,0.00023511729,0.000017465103,0.000035976565,0.000018851804,0.02717327],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903977,0.00010433583,0.00013184811,0.00027696777,0.00024081882,0.00020624445],"domain_scores_gemma":[0.99952734,0.00016895904,0.0000552784,0.00019550587,0.000022075094,0.000030861913],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00026630514,0.00010081408,0.00007473774,0.00009047757,0.00037598642,0.000096391166,0.00013178747,0.000034491637,0.0011230033],"category_scores_gemma":[0.00015066973,0.000073522715,0.000053809254,0.00036263323,0.00006528603,0.00019892903,0.00005362938,0.00011246367,0.011648249],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010799196,0.000010843009,0.00007767007,0.0000041808185,0.0000012743612,0.00000298851,0.0003613808,0.0018409695,0.95772797,0.00040201997,0.0077084685,0.031851463],"study_design_scores_gemma":[0.0003157641,0.00009120486,0.061858185,0.000025226478,0.000025306783,0.000042524505,0.00015501808,0.91524714,0.013086021,0.0014462417,0.007436612,0.00027076312],"about_ca_topic_score_codex":0.000043756147,"about_ca_topic_score_gemma":0.0000036850297,"teacher_disagreement_score":0.94464195,"about_ca_system_score_codex":0.000050623134,"about_ca_system_score_gemma":0.000010446509,"threshold_uncertainty_score":0.99979013},"labels":[],"label_agreement":null},{"id":"W4388460992","doi":"10.1016/j.arcontrol.2023.100912","title":"Learning and forgetting in systems neuroscience: A control perspective","year":2023,"lang":"en","type":"article","venue":"Annual Reviews in Control","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Forgetting; Robustness (evolution); Neuroscience; Reflex; Computer science; Brainstem; Sensory system; Artificial intelligence; Motor learning; Control engineering; Machine learning; Cognitive science; Psychology; Engineering; Cognitive psychology; Biology","score_opus":0.028206655971848557,"score_gpt":0.3172855397468076,"score_spread":0.28907888377495905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388460992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9720647,0.008480066,0.0010689482,0.006283429,0.0023170696,0.0055962065,0.00007362922,0.00035280353,0.0037631546],"genre_scores_gemma":[0.9953812,0.0025083881,0.0000024915594,0.0012711443,0.00006580934,0.00015735211,5.220559e-7,0.000014275609,0.00059881207],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99772215,0.00066198304,0.00043024082,0.00055248506,0.0002091262,0.0004240147],"domain_scores_gemma":[0.9988394,0.00078252656,0.00015593006,0.00011822928,0.000038226473,0.00006572471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015939076,0.00015909778,0.00042805134,0.0002579384,0.0001332538,0.000087463515,0.00014678108,0.000053117605,0.0000021735889],"category_scores_gemma":[0.007096867,0.00013072397,0.000058869846,0.0009732958,0.00007823515,0.00029924916,0.00004556889,0.0003783486,0.000033751585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005207749,0.0003029825,0.1537695,0.00069851615,0.000009827672,0.0010970283,0.0077270656,0.017446728,0.58229893,0.06567067,0.0015338672,0.1689241],"study_design_scores_gemma":[0.006411277,0.00081454974,0.03389549,0.00072082074,0.000024397987,0.000100175006,0.0030893064,0.8346847,0.00013340799,0.0015599044,0.11782285,0.00074307626],"about_ca_topic_score_codex":0.00008754288,"about_ca_topic_score_gemma":0.000032460335,"teacher_disagreement_score":0.81723803,"about_ca_system_score_codex":0.000068717396,"about_ca_system_score_gemma":0.00002309888,"threshold_uncertainty_score":0.84961253},"labels":[],"label_agreement":null},{"id":"W4388470180","doi":"10.2139/ssrn.4624961","title":"Cortical Network and Projection Neuron Types that Articulate Serial Order in a Skilled Motor Behavior","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Projection (relational algebra); Order (exchange); Neuroscience; Computer science; Psychology; Economics; Algorithm","score_opus":0.026615921251793177,"score_gpt":0.27099071828619303,"score_spread":0.24437479703439985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388470180","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948696,0.000104298866,0.0005005885,0.0006038272,0.0031209565,0.0006790691,0.0000052351543,0.00008902763,0.00002740898],"genre_scores_gemma":[0.9945529,0.0031465548,0.00003123766,0.00011573685,0.000729477,0.00007202669,0.000006721425,0.000059595237,0.0012857688],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99666417,0.00034192775,0.00037472558,0.0005998449,0.00033575072,0.0016836042],"domain_scores_gemma":[0.9993236,0.00012707082,0.00023390805,0.00018343481,0.000044213713,0.00008775276],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0009052339,0.00027350828,0.0003083107,0.00018108927,0.0002344272,0.00021930155,0.00018681333,0.00023885471,0.000011581839],"category_scores_gemma":[0.00035146315,0.00023730402,0.00010393184,0.00030933166,0.00006560897,0.0001336294,0.0002621737,0.0041824738,0.000016186821],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011049969,0.0031478188,0.13417253,0.0005183653,0.0005577351,0.0021604637,0.0014067558,0.07771145,0.5573224,0.11181681,0.0007498012,0.09938592],"study_design_scores_gemma":[0.006981954,0.004654466,0.32042915,0.0006154827,0.0007647083,0.006017736,0.00043649995,0.21556714,0.0020550606,0.43906724,0.0006332263,0.0027773273],"about_ca_topic_score_codex":0.00009927393,"about_ca_topic_score_gemma":0.0013275553,"teacher_disagreement_score":0.55526733,"about_ca_system_score_codex":0.00045255903,"about_ca_system_score_gemma":0.0007861642,"threshold_uncertainty_score":0.99811494},"labels":[],"label_agreement":null},{"id":"W4388488592","doi":"10.1038/s41586-023-06714-0","title":"Preserved neural dynamics across animals performing similar behaviour","year":2023,"lang":"en","type":"article","venue":"Nature","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":123,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"National Institute of Neurological Disorders and Stroke; Engineering and Physical Sciences Research Council; European Commission; National Institutes of Health; UK Research and Innovation; Horizon 2020 Framework Programme; Wellcome Trust","keywords":"Biological neural network; Dynamics (music); Neuroscience; Evolutionary dynamics; Artificial neural network; Biology; Neural activity; Population; Nerve net; Selection (genetic algorithm); Psychology; Artificial intelligence; Computer science","score_opus":0.02851674209077466,"score_gpt":0.31160148567093227,"score_spread":0.2830847435801576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388488592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99491817,0.00003135562,0.000006392237,0.002585766,0.0011917042,0.0002072815,0.00016949745,0.0003752497,0.0005145743],"genre_scores_gemma":[0.9960291,0.0000256193,0.000022292403,0.0013252735,0.00014831414,0.000013245168,0.000043153097,0.000034339908,0.0023587043],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984429,0.00005582788,0.00016687672,0.00046289244,0.00038451946,0.00048700438],"domain_scores_gemma":[0.9993636,0.00014896279,0.00007020246,0.0002855641,0.000047061985,0.00008459513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020643625,0.0001693825,0.00014240171,0.000071762865,0.00037522212,0.00013406959,0.0003584525,0.0006184864,0.000029601293],"category_scores_gemma":[0.0005228948,0.00014671704,0.00010345515,0.00072479947,0.000050855833,0.00025413165,0.00022031995,0.0017815162,0.00007514505],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028993073,0.00016468586,0.11217782,0.00015442159,0.000015096064,0.000678048,0.00064038124,0.0030441966,0.8425989,0.009037834,0.011805285,0.01939338],"study_design_scores_gemma":[0.00063744595,0.00021793362,0.2026246,0.00002727756,0.000016745184,0.00007717046,0.00019219599,0.7518168,0.03872803,0.0012445358,0.003914937,0.00050234643],"about_ca_topic_score_codex":0.000011356043,"about_ca_topic_score_gemma":0.00005522767,"teacher_disagreement_score":0.8038709,"about_ca_system_score_codex":0.00005567604,"about_ca_system_score_gemma":0.000014603103,"threshold_uncertainty_score":0.7739901},"labels":[],"label_agreement":null},{"id":"W4388522620","doi":"10.1088/978-0-7503-5097-6ch4","title":"Mathematical models","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Computer science","score_opus":0.1081294632388206,"score_gpt":0.26036344118316385,"score_spread":0.15223397794434324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388522620","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000136959425,0.00000151521,0.0023128423,0.0003399298,0.0003635079,0.00014530262,0.000019204654,0.00032376774,0.9964802],"genre_scores_gemma":[0.0012307902,0.000059803195,0.00006851583,0.000781752,0.00008639311,0.0000045359507,0.00000476552,0.00006304839,0.9977004],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990659,0.0000049187347,0.00016796075,0.00035220676,0.00026993387,0.00013910166],"domain_scores_gemma":[0.9994607,0.00018403008,0.000050619867,0.00023762864,0.000012976169,0.0000540478],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00004923222,0.00016200688,0.00016840223,0.00007728048,0.00005037098,0.000039713595,0.0001442516,0.00015022155,0.0011731486],"category_scores_gemma":[0.000044951037,0.00012561136,0.00010705845,0.000020581678,0.000049366463,0.000061857034,0.000095821735,0.0002065692,0.0060210275],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000021817261,0.0000033970027,5.143204e-9,0.000015755586,0.0000016414344,0.000029255347,0.0000033589486,0.00003881567,0.0013367995,0.99406904,0.0033986052,0.0011011717],"study_design_scores_gemma":[0.000037249894,0.000023181876,7.0722976e-8,0.000029143062,0.000007345272,0.000016073387,4.60933e-7,0.04567159,0.00031607505,0.94056374,0.0131861055,0.00014898069],"about_ca_topic_score_codex":5.9212e-7,"about_ca_topic_score_gemma":0.0000012728254,"teacher_disagreement_score":0.05350529,"about_ca_system_score_codex":0.000017096781,"about_ca_system_score_gemma":0.000012853347,"threshold_uncertainty_score":0.9997399},"labels":[],"label_agreement":null},{"id":"W4388525150","doi":"10.1103/physreve.108.054404","title":"Algebraic approach to spike-time neural codes in the hippocampus","year":2023,"lang":"en","type":"article","venue":"Physical review. E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Institute of Mental Health; Canada First Research Excellence Fund; Kyoto University; Arthur J. Schmitt Foundation; Compute Canada; Natural Sciences and Engineering Research Council of Canada; Cystinosis Research Foundation; National Science Foundation","keywords":"Spike (software development); Computer science; Neural coding; Focus (optics); Neuroscience; Algorithm; Theoretical computer science; Artificial intelligence; Physics; Biology","score_opus":0.039118050525913495,"score_gpt":0.3207098306495286,"score_spread":0.28159178012361513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388525150","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9877982,0.00014543973,0.00002353028,0.0059513254,0.00014955628,0.00071257754,0.0000082622255,0.000105964995,0.0051051443],"genre_scores_gemma":[0.9899869,0.00057924,0.000011114505,0.008909162,0.00015816945,0.00012716487,0.000010232892,0.000015730326,0.000202283],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985704,0.0002162369,0.00019019056,0.00039279726,0.00032977425,0.00030059833],"domain_scores_gemma":[0.99921656,0.00033872842,0.000048468875,0.00031831657,0.000012283366,0.00006567397],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00032672074,0.0001403341,0.00025403933,0.000051600877,0.0000816288,0.00003878331,0.00037248246,0.000015491705,0.000010665509],"category_scores_gemma":[0.0007164433,0.00008627887,0.00012685123,0.0014161561,0.000038906357,0.000099155426,0.00010063015,0.00020471806,0.0014531683],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004515785,0.000966849,0.0002759922,0.001112448,0.000007022247,0.00006790275,0.0006826548,0.000801724,0.66752476,0.0806986,0.06542011,0.18239677],"study_design_scores_gemma":[0.0009478087,0.0009160221,0.04358455,0.0009919517,0.00012282969,0.00010996489,0.0000768364,0.5619017,0.008030616,0.32888404,0.052726183,0.0017075108],"about_ca_topic_score_codex":0.0000052397095,"about_ca_topic_score_gemma":0.0000010100226,"teacher_disagreement_score":0.65949416,"about_ca_system_score_codex":0.000016205062,"about_ca_system_score_gemma":0.000007919879,"threshold_uncertainty_score":0.9993243},"labels":[],"label_agreement":null},{"id":"W4388590640","doi":"10.1101/2023.11.07.566057","title":"Bidirectional chemogenetic modulation of claustral activity causes altered cortical dynamics","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta","funders":"Canadian Institutes of Health Research; National Alliance for Research on Schizophrenia and Depression; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada","keywords":"Claustrum; Neuroscience; Prefrontal cortex; Sensory system; Inhibitory postsynaptic potential; Cortex (anatomy); Cerebral cortex; Biology; Psychology; Anatomy; Cognition; Nucleus","score_opus":0.04448149438039119,"score_gpt":0.2563449163068922,"score_spread":0.21186342192650104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388590640","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99272376,0.000010623571,0.0024410072,0.00021206228,0.003166232,0.00050656387,0.0005361002,0.0003993368,0.0000042896786],"genre_scores_gemma":[0.99892265,0.00007786548,0.00036633151,0.00005697097,0.0003713927,0.000072773,9.3374155e-7,0.00010643687,0.000024636372],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9972268,0.00020578956,0.000490513,0.0010640842,0.0005733375,0.00043948926],"domain_scores_gemma":[0.99815065,0.00023829848,0.00046361645,0.00074525614,0.000228088,0.0001740949],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002927789,0.00041120214,0.00046142685,0.0002921268,0.00016962251,0.00011099234,0.00034676684,0.00043752306,0.000025840038],"category_scores_gemma":[0.00071945856,0.00045239122,0.00019082363,0.00062382553,0.00020167483,0.00014349625,0.00037074508,0.0007884249,0.000038925413],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005657161,0.00014070052,0.005433211,0.00017913134,0.00002874682,0.000014623468,0.0000015359567,0.0021197826,0.9912153,0.00075952226,0.00004605158,0.0000048432676],"study_design_scores_gemma":[0.0001856131,0.000051064853,0.3829407,0.00008028377,0.00004289336,3.5988087e-8,3.5626448e-7,0.10403861,0.5122903,0.000016110997,0.000027637338,0.0003264007],"about_ca_topic_score_codex":0.0000842998,"about_ca_topic_score_gemma":0.000014650344,"teacher_disagreement_score":0.478925,"about_ca_system_score_codex":0.00034050498,"about_ca_system_score_gemma":0.00028900412,"threshold_uncertainty_score":0.99979275},"labels":[],"label_agreement":null},{"id":"W4388590917","doi":"10.1093/cercor/bhad401","title":"Bistable perception, precision and neuromodulation","year":2023,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Medical Research Council; Medical Research Council Canada; Wellcome Trust","keywords":"Bistability; Perception; Stimulus (psychology); Visual perception; Computer science; Cognitive psychology; Psychology; Neuroscience; Inference; Cognition; Artificial intelligence; Physics","score_opus":0.032139634419058996,"score_gpt":0.26013392324705437,"score_spread":0.22799428882799538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388590917","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967752,0.0000024842113,0.00018158932,0.000582778,0.0004951805,0.00014756349,0.000007909106,0.00023235353,0.0015749066],"genre_scores_gemma":[0.99526715,0.000041000956,0.000026413069,0.000492833,0.00006904314,0.000006135523,0.000016641226,0.0000144131745,0.004066376],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991381,0.000048612168,0.00012296127,0.0003457876,0.00017029901,0.00017423883],"domain_scores_gemma":[0.9996566,0.00008104237,0.000038953454,0.00014463029,0.000019874204,0.00005890927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000087169,0.00008423148,0.00007608123,0.00009933468,0.00019674488,0.000079493155,0.00006928632,0.000039146136,0.00012447305],"category_scores_gemma":[0.00017097582,0.00007445549,0.000026684924,0.00041968125,0.000040353727,0.00024269265,0.00006992027,0.000082163446,0.00030269756],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021380129,0.000013560635,0.0035307661,0.000010403928,6.350838e-7,0.000008323292,0.00006675878,0.00007911754,0.96443826,0.0014673764,0.0030911192,0.027272295],"study_design_scores_gemma":[0.0003205501,0.0001500179,0.8260401,0.0000108242175,0.0000055843466,0.000034044806,0.00003249941,0.15725854,0.004093211,0.006199072,0.005680674,0.00017489442],"about_ca_topic_score_codex":0.000009118528,"about_ca_topic_score_gemma":0.0000047775334,"teacher_disagreement_score":0.96034503,"about_ca_system_score_codex":0.000015265108,"about_ca_system_score_gemma":0.0000075642024,"threshold_uncertainty_score":0.38906658},"labels":[],"label_agreement":null},{"id":"W4388601390","doi":"10.1002/hipo.23585","title":"Granule cells perform frequency‐dependent pattern separation in a computational model of the dentate gyrus","year":2023,"lang":"en","type":"article","venue":"Hippocampus","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Research Nova Scotia","keywords":"Dentate gyrus; Neuroscience; Perforant path; Hippocampal formation; Electrophysiology; Chemistry; Granule cell; Perforant Pathway; Biological system; Physics; Biology","score_opus":0.03166239146852474,"score_gpt":0.26767484337382963,"score_spread":0.2360124519053049,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388601390","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99743515,0.0000026022485,0.0010579674,0.0003256438,0.0005001207,0.00022726871,0.000043959582,0.00003747258,0.00036983157],"genre_scores_gemma":[0.9991691,0.000011976366,0.000044485998,0.0004099385,0.000013886137,0.00001829041,0.000010773265,0.000010411791,0.00031109698],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989724,0.00006735376,0.00022418551,0.00023455608,0.0003281124,0.0001733744],"domain_scores_gemma":[0.99960953,0.000092945316,0.00009612798,0.00014990228,0.000024530926,0.000026978398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015218345,0.00009012972,0.000093322444,0.00009564216,0.000100272395,0.000024587434,0.00017440475,0.00003891629,0.00002238096],"category_scores_gemma":[0.000031583877,0.0000694152,0.000056096782,0.00037102113,0.000050207127,0.00012255661,0.00006233904,0.0001261733,0.00007995781],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014205047,0.000055467113,0.006766168,0.00002427855,0.0000017896125,0.000009015209,0.00042167163,0.4909454,0.4955767,0.0008871739,0.00014861577,0.0051495335],"study_design_scores_gemma":[0.00031400315,0.000029124209,0.0099304365,0.000013431325,0.0000035080775,0.000006419464,0.000023934923,0.919193,0.034148004,0.036255114,0.00000335069,0.00007967457],"about_ca_topic_score_codex":0.000057165795,"about_ca_topic_score_gemma":0.0001322159,"teacher_disagreement_score":0.4614287,"about_ca_system_score_codex":0.000048471782,"about_ca_system_score_gemma":0.000044598575,"threshold_uncertainty_score":0.28306696},"labels":[],"label_agreement":null},{"id":"W4388620212","doi":"10.1101/2023.11.08.566069","title":"Unveiling the neural dynamics of conscious perception in rapid object recognition","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vector Institute; Western University","funders":"Canada First Research Excellence Fund","keywords":"Categorization; Object (grammar); Cognitive neuroscience of visual object recognition; Perception; Artificial intelligence; Computer science; Dynamics (music); Electroencephalography; Pattern recognition (psychology); Identification (biology); Feed forward; Psychology; Cognitive psychology; Neuroscience; Biology","score_opus":0.03697606045784084,"score_gpt":0.23877581929402064,"score_spread":0.2017997588361798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388620212","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99455726,0.00004660517,0.00034811202,0.00076718087,0.0027144165,0.0008801299,0.00035773424,0.00031663847,0.000011920268],"genre_scores_gemma":[0.9986673,0.0003959203,0.00018191186,0.0003088965,0.00020718564,0.00012434326,0.0000016819773,0.00010351146,0.0000092244745],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967294,0.0004223381,0.00096566405,0.0009789289,0.00044317334,0.00046053616],"domain_scores_gemma":[0.99748844,0.00040254465,0.0010066694,0.00080379704,0.00021086118,0.00008766608],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010736699,0.00040610033,0.00048242536,0.00041875042,0.00018367167,0.00015590055,0.0005280461,0.00037278005,0.00003860244],"category_scores_gemma":[0.001771766,0.00035918993,0.00020153468,0.0009789662,0.00023792862,0.0001655155,0.00038351474,0.0010732597,0.0000826653],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053802265,0.00008610944,0.0018966761,0.00023493191,0.000012007765,0.000041304193,0.000019765745,0.0010385187,0.9962931,0.00020055736,0.00006112617,0.00006206987],"study_design_scores_gemma":[0.0012543319,0.0002841641,0.30188805,0.0010184301,0.00014223652,2.599814e-7,0.000055722754,0.4581622,0.23533659,0.00015272948,0.00014735643,0.0015579426],"about_ca_topic_score_codex":0.00015201756,"about_ca_topic_score_gemma":0.00006035429,"teacher_disagreement_score":0.7609565,"about_ca_system_score_codex":0.00034320183,"about_ca_system_score_gemma":0.00021493969,"threshold_uncertainty_score":0.99988604},"labels":[],"label_agreement":null},{"id":"W4388642140","doi":"10.1162/imag_a_00035","title":"Synchrony in auditory 40-Hz gamma oscillations increases in older age and correlates with hearing abilities and cortical GABA levels","year":2023,"lang":"en","type":"article","venue":"Imaging Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Audiology; Auditory cortex; Psychology; Neuroscience; Neural correlates of consciousness; Medicine; Cognition","score_opus":0.030224808670586027,"score_gpt":0.2657438935029257,"score_spread":0.2355190848323397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388642140","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99845237,0.000020710788,0.00009222665,0.00064367545,0.00031210153,0.00021198572,0.000012176015,0.00011153873,0.00014324622],"genre_scores_gemma":[0.9991908,0.00005754425,0.000029958865,0.00047851697,0.000025653691,0.000016968439,6.5913844e-7,0.000015291605,0.00018460774],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983286,0.00012223907,0.00021283698,0.0006668143,0.0002696509,0.00039983485],"domain_scores_gemma":[0.9988639,0.000811123,0.00004844447,0.00016411682,0.00001449418,0.00009796009],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026631932,0.0001514325,0.00015412486,0.00031291827,0.00025768598,0.00021014568,0.00012297495,0.000024462472,0.000003892536],"category_scores_gemma":[0.001198962,0.00013330593,0.00001440156,0.0009775484,0.0008422146,0.0005670073,0.00017064213,0.00026387727,0.0000037647865],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024438541,0.00005837952,0.5631204,0.000040333314,2.4751233e-7,0.0005084143,0.00037537605,0.0011733377,0.43265662,0.0006359395,0.00004568076,0.0013607924],"study_design_scores_gemma":[0.00028103034,0.00004518705,0.87926567,0.000074860676,0.0000020402838,0.00013166813,0.000093989445,0.11880384,0.00071615906,0.00038881705,0.000050658742,0.00014606793],"about_ca_topic_score_codex":0.00013544134,"about_ca_topic_score_gemma":0.000114661096,"teacher_disagreement_score":0.43194047,"about_ca_system_score_codex":0.000039636707,"about_ca_system_score_gemma":0.000046591842,"threshold_uncertainty_score":0.54360586},"labels":[],"label_agreement":null},{"id":"W4388644634","doi":"","title":"The Recording and Quantification of Event-Related Potentials: I. Stimulus Presentation and Data Acquisition","year":2015,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Event-related potential; Stimulus (psychology); Presentation (obstetrics); Neuroscience; Psychology; Computer science; Cognitive psychology; Electroencephalography; Medicine","score_opus":0.3934236755905774,"score_gpt":0.5539173847146834,"score_spread":0.16049370912410604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388644634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927471,0.00283993,0.00223813,0.00058451877,0.0007897313,0.00044586512,0.00005636738,0.000016965956,0.00028138486],"genre_scores_gemma":[0.99355656,0.0061079245,0.00004756122,0.00005594352,0.000042214582,0.000007096642,0.000028773902,0.000015694335,0.00013826044],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9980068,0.00042667994,0.00057955,0.0003996133,0.0004347233,0.00015259055],"domain_scores_gemma":[0.9979326,0.0005356188,0.0008065406,0.00043082683,0.00018201042,0.00011237064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018141426,0.00012673881,0.00023384894,0.00021336667,0.000301991,0.0008714677,0.0009955665,0.000054220294,0.00009989918],"category_scores_gemma":[0.0012233455,0.00009652859,0.000029781326,0.00048681017,0.00016131022,0.002686273,0.00074474723,0.00015122263,0.0000019027501],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023971783,0.00007106183,0.023053063,0.000031860367,0.000025133068,0.000003776887,0.00007939411,0.00043875218,0.9250478,0.00050783117,0.0042373007,0.046264276],"study_design_scores_gemma":[0.0018102308,0.00007912922,0.5715713,0.00042151375,0.00020264836,0.00008863253,0.00038446713,0.14599742,0.2244397,0.05230256,0.0021696985,0.00053272874],"about_ca_topic_score_codex":0.00033938017,"about_ca_topic_score_gemma":0.000021764696,"teacher_disagreement_score":0.70060813,"about_ca_system_score_codex":0.000025312886,"about_ca_system_score_gemma":0.000044983855,"threshold_uncertainty_score":0.8403583},"labels":[],"label_agreement":null},{"id":"W4388660588","doi":"10.7554/elife.87691.2","title":"Mesotrode allows chronic simultaneous mesoscale cortical imaging and subcortical or peripheral nerve spiking activity recording in mice","year":2023,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Fondation Leducq","keywords":"Neuroscience; Local field potential; Optogenetics; Connectome; Neuron; Electrophysiology; Premovement neuronal activity; Cortex (anatomy); Nerve net; Cerebral cortex; Mesoscale meteorology; Biology; Functional connectivity; Physics","score_opus":0.025687130594348555,"score_gpt":0.2845292290368226,"score_spread":0.258842098442474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388660588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973593,0.00002665478,0.0003210658,0.0011929609,0.0005231569,0.000200178,0.0000060432867,0.00019467039,0.00017599222],"genre_scores_gemma":[0.99867284,0.00010635916,0.0000727931,0.0004424364,0.00019186601,0.00001482614,0.0000023709945,0.000030646053,0.00046588114],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981573,0.0001616071,0.00024649958,0.00058545655,0.000307226,0.00054187386],"domain_scores_gemma":[0.9986606,0.0009714432,0.000056377183,0.00015625791,0.00001721724,0.00013809654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023003471,0.00017820756,0.00022587735,0.00010849207,0.00020863078,0.000111433954,0.00011353805,0.000060654063,0.00006599645],"category_scores_gemma":[0.0012457935,0.00015424998,0.000055485034,0.0003949259,0.00011471109,0.0002490795,0.00017058178,0.0003952867,0.000047975635],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020687663,0.000047954258,0.0056492863,0.000027780909,0.0000026929138,0.0011716513,0.00009513894,0.0013644845,0.9753805,0.00021413728,0.00014063773,0.01569887],"study_design_scores_gemma":[0.00061572914,0.0001444364,0.01528768,0.000036428508,0.00001084815,0.00015604074,0.000049736056,0.9535682,0.028952576,0.00006506659,0.00085291656,0.00026034645],"about_ca_topic_score_codex":0.000102160775,"about_ca_topic_score_gemma":0.00028457696,"teacher_disagreement_score":0.9522037,"about_ca_system_score_codex":0.00017242506,"about_ca_system_score_gemma":0.000060234324,"threshold_uncertainty_score":0.6290131},"labels":[],"label_agreement":null},{"id":"W4388692409","doi":"10.1101/2023.11.12.566749","title":"Single-Channel EEG Artifact Identification with the Spectral Slope","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Discovery Centre","funders":"","keywords":"Electroencephalography; Artifact (error); Computer science; Pattern recognition (psychology); Artificial intelligence; Channel (broadcasting); Autoregressive model; Logarithm; Identification (biology); SIGNAL (programming language); Speech recognition; Mathematics; Statistics","score_opus":0.03722956437408077,"score_gpt":0.22498938002189833,"score_spread":0.18775981564781757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388692409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98877877,0.00003962579,0.003202878,0.0032217326,0.0027162675,0.0009931499,0.00015612284,0.0008707116,0.000020715162],"genre_scores_gemma":[0.99846476,0.000067227265,0.00011107818,0.00049816683,0.00038813957,0.00019000721,4.4472685e-7,0.0001622545,0.000117902746],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968017,0.00020646502,0.0004339867,0.0013427682,0.00062754494,0.0005875597],"domain_scores_gemma":[0.9975652,0.00017332441,0.00051102036,0.0013906808,0.00020005908,0.00015971341],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005340226,0.0004956468,0.0003374764,0.00022493137,0.00042689615,0.000713836,0.0007883943,0.00025805022,0.000023022154],"category_scores_gemma":[0.00041289514,0.0003715797,0.00014173689,0.00086833327,0.00022353054,0.00023515323,0.00037656634,0.00087028946,0.0003830609],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038341004,0.00008348747,0.00014672986,0.000074669006,0.000023736337,0.000058786554,0.000009816909,0.0008683544,0.9972479,0.00092932145,0.0005162408,0.0000026519917],"study_design_scores_gemma":[0.0002924545,0.00012686987,0.085430436,0.0001808203,0.00009657607,9.395459e-8,0.000005568,0.005075588,0.9057909,0.000039575916,0.002142846,0.0008182213],"about_ca_topic_score_codex":0.000029463723,"about_ca_topic_score_gemma":0.000013170106,"teacher_disagreement_score":0.09145691,"about_ca_system_score_codex":0.00021892741,"about_ca_system_score_gemma":0.00018966862,"threshold_uncertainty_score":0.99987364},"labels":[],"label_agreement":null},{"id":"W4388721949","doi":"10.1038/s41593-023-01502-5","title":"George Aghajanian (1932–2023)","year":2023,"lang":"en","type":"editorial","venue":"Nature Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Temerty Faculty of Medicine, University of Toronto; University of Toronto","keywords":"George (robot); Innovator; Dopamine; Neuroscience; Psychology; Serotonin; Psychoanalysis; Medicine; Art; Art history; Internal medicine; Political science; Law","score_opus":0.01558620626405648,"score_gpt":0.28547914902390964,"score_spread":0.26989294275985315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388721949","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008926955,0.0000469106,0.000023548402,0.00094359374,0.9928781,0.0004126013,0.0007740379,0.0007497715,0.0032787733],"genre_scores_gemma":[0.0084782615,0.0006416503,0.000023470384,0.004882613,0.91681165,0.0000699106,0.000119920805,0.00027106493,0.06870144],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9924601,0.00024224177,0.00050021097,0.0026200241,0.0029961176,0.0011813524],"domain_scores_gemma":[0.9951281,0.0028535244,0.00041696941,0.001090444,0.0001791209,0.000331874],"candidate_categories":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0005505838,0.00068732165,0.00054034486,0.00051535544,0.00068977155,0.00058230094,0.0023088576,0.002095505,0.000041257736],"category_scores_gemma":[0.031450145,0.00061196415,0.00028231068,0.0027823225,0.00044915022,0.00046742897,0.00066546974,0.005887965,0.0008449253],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021414586,0.00003980811,0.0000020330353,0.000043806995,7.270573e-7,0.0002912723,0.000008708499,0.00002140079,0.13019097,0.00055748346,0.86814725,0.0006751038],"study_design_scores_gemma":[0.00021838912,0.00018836015,0.00008144552,0.00006557867,0.000017321478,0.000020574118,0.0000024410806,0.0012538179,0.0045825397,0.0005814086,0.9923802,0.0006079101],"about_ca_topic_score_codex":0.000026846674,"about_ca_topic_score_gemma":0.000039298888,"teacher_disagreement_score":0.12560843,"about_ca_system_score_codex":0.0001480862,"about_ca_system_score_gemma":0.0003917704,"threshold_uncertainty_score":0.999933},"labels":[],"label_agreement":null},{"id":"W4388762792","doi":"10.7554/elife.91605.1.sa2","title":"eLife Assessment: Novel Cyclic Homogeneous Oscillation Detection Method for High Accuracy and Specific Characterization of Neural Dynamics","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital","funders":"","keywords":"Oscillation (cell signaling); Pattern recognition (psychology); Electroencephalography; Computer science; Harmonics; Speech recognition; Spectral density; Artificial intelligence; Physics; Neuroscience; Chemistry; Psychology","score_opus":0.057431547363216914,"score_gpt":0.3391623312478845,"score_spread":0.28173078388466755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388762792","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053386103,0.00023659262,0.9042071,0.014355855,0.015145885,0.0054243444,0.00639863,0.0005049242,0.0003405736],"genre_scores_gemma":[0.49745387,0.13386814,0.035144005,0.016404258,0.006759346,0.0025482904,0.05477863,0.0017451316,0.25129834],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99709386,0.00017259737,0.00083858933,0.0009862125,0.0005800482,0.00032868594],"domain_scores_gemma":[0.99681467,0.0010981237,0.0012865454,0.00042253535,0.0002929941,0.00008513619],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00054414506,0.0004269597,0.00069961406,0.00035776274,0.00023739504,0.00012939693,0.00023425228,0.00030064833,0.00003275065],"category_scores_gemma":[0.0009807893,0.00039383807,0.00019724255,0.00070096384,0.000058268397,0.0002803895,0.0001360008,0.000332612,0.000005860819],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003733429,0.00005689565,0.000007265258,0.0015239727,0.000015919562,0.0000018589396,0.000005077243,0.00010679407,0.86261034,0.001502209,0.0014324273,0.13269989],"study_design_scores_gemma":[0.0010806991,0.00060471,0.005187084,0.0007974206,0.00031781604,0.00012514378,0.000007729975,0.86282945,0.036269758,0.00067221565,0.09104533,0.0010626353],"about_ca_topic_score_codex":0.00008800428,"about_ca_topic_score_gemma":0.00013831121,"teacher_disagreement_score":0.8690631,"about_ca_system_score_codex":0.00018189715,"about_ca_system_score_gemma":0.000062351704,"threshold_uncertainty_score":0.99985135},"labels":[],"label_agreement":null},{"id":"W4388773113","doi":"10.31219/osf.io/af4n5","title":"Unifying consciousness theories with MaxCon: maximizing configurations of the brain web","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Consciousness; Cognitive science; Simplicity; Perspective (graphical); Computer science; Epistemology; Convergence (economics); Cognition; Conceptual framework; Subject (documents); Integrated information theory; Psychology; Cognitive psychology; Artificial intelligence; Neuroscience","score_opus":0.04659454642522071,"score_gpt":0.2689605855241277,"score_spread":0.222366039098907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388773113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90656525,0.000020591562,0.007934239,0.033655588,0.0049016285,0.0019756434,0.00039943279,0.00070409226,0.04384355],"genre_scores_gemma":[0.99066484,0.000023328748,0.00009685504,0.0008705872,0.000054016677,0.000047960544,0.000010163186,0.00003766674,0.008194557],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99838966,0.00020711907,0.00031080827,0.00052084913,0.00035167043,0.00021989447],"domain_scores_gemma":[0.9980461,0.0008701297,0.0003048879,0.0006433846,0.00009672751,0.000038791866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002539944,0.00022926183,0.00027389586,0.00010153067,0.0003009525,0.00015074515,0.000516976,0.00012949343,0.00007762507],"category_scores_gemma":[0.0005111914,0.00013437473,0.0001141912,0.000381942,0.00046229464,0.00008048331,0.0005454731,0.00049503,0.000014281742],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057568726,0.000038659797,0.0009992397,0.00023591169,0.000028096943,0.000018661318,0.00034839706,0.0061720414,0.37911913,0.61152726,0.00083382335,0.000621179],"study_design_scores_gemma":[0.0021558744,0.0003352518,0.008778279,0.0018957884,0.00024390536,0.00021830776,0.0031629973,0.09914333,0.53153807,0.34361848,0.006742066,0.002167619],"about_ca_topic_score_codex":0.00008495583,"about_ca_topic_score_gemma":0.00036003665,"teacher_disagreement_score":0.2679088,"about_ca_system_score_codex":0.000030681553,"about_ca_system_score_gemma":0.00025516335,"threshold_uncertainty_score":0.5479643},"labels":[],"label_agreement":null},{"id":"W4388797187","doi":"10.3389/fnins.2023.1331086","title":"Editorial: Brain plasticity following sensory loss: from basic mechanisms to therapy","year":2023,"lang":"en","type":"editorial","venue":"Frontiers in Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Neuroplasticity; Neuroscience; Sensory system; Sensory loss; Psychology","score_opus":0.02015293027908048,"score_gpt":0.2642202493263321,"score_spread":0.2440673190472516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388797187","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0056234654,0.000011324695,0.011368921,0.0005525155,0.980322,0.0007915966,0.00082991685,0.00044051392,0.000059741476],"genre_scores_gemma":[0.002291454,0.00026473938,0.00062099,0.0022213806,0.9921298,0.00013699521,0.000044142205,0.0002184244,0.002072084],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99151057,0.0005354038,0.00071967236,0.0029346645,0.0030401254,0.0012595758],"domain_scores_gemma":[0.99425906,0.004165681,0.00033093477,0.0007699771,0.000082535684,0.0003917853],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00082739774,0.00076168287,0.000873263,0.00081551226,0.00045850335,0.00051997177,0.002056448,0.0008378511,0.000007638359],"category_scores_gemma":[0.025306163,0.00075339834,0.00031878546,0.0022527154,0.00024620842,0.00051654514,0.000514423,0.0018071899,0.00010277956],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012511949,0.00005358992,0.000017807391,0.000009201614,0.0000023841947,0.00019416706,0.000067013025,0.0002449307,0.22806372,0.00003470442,0.77065367,0.0005336923],"study_design_scores_gemma":[0.0009264139,0.00042794162,0.00008422142,0.00014818064,0.000013788341,9.880214e-7,0.000027427266,0.0042625475,0.009192584,0.0044345395,0.97955865,0.00092274434],"about_ca_topic_score_codex":0.00019701752,"about_ca_topic_score_gemma":0.000043730037,"teacher_disagreement_score":0.21887113,"about_ca_system_score_codex":0.00036161902,"about_ca_system_score_gemma":0.00039642045,"threshold_uncertainty_score":0.9994917},"labels":[],"label_agreement":null},{"id":"W4388821881","doi":"10.1016/j.neuroimage.2023.120458","title":"Solving large-scale MEG/EEG source localisation and functional connectivity problems simultaneously using state-space models","year":2023,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Medical Research Council; Florida Atlantic University Foundation; UK Research and Innovation","keywords":"Computer science; Leverage (statistics); Estimator; Gradient descent; Covariance; Scale (ratio); Regularization (linguistics); Artificial intelligence; Algorithm; Pattern recognition (psychology); Machine learning; Mathematics; Artificial neural network; Statistics","score_opus":0.0522302410709002,"score_gpt":0.2545146939984611,"score_spread":0.20228445292756092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388821881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.912256,0.000006961094,0.08586422,0.00036461285,0.00041881745,0.00033346703,0.00004775711,0.0003956263,0.0003125476],"genre_scores_gemma":[0.9979695,0.00003344051,0.00010211032,0.0006326666,0.0000639194,0.000010756597,0.000012735706,0.000052263444,0.0011225778],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979675,0.00019263805,0.00022361388,0.0007428628,0.00040900047,0.00046442656],"domain_scores_gemma":[0.99884784,0.0006130192,0.00012210768,0.00023555013,0.00006527216,0.0001162332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031439515,0.00021439546,0.00018370338,0.00015581337,0.0005280848,0.00020062595,0.000094696414,0.0000645474,0.000018910725],"category_scores_gemma":[0.00042515688,0.00021370496,0.00005886401,0.0005661791,0.0001103385,0.0006408602,0.00017608861,0.00028099323,0.000034064124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036149217,0.00003997467,0.00031067056,0.000032796193,0.0000018709839,0.000036677447,0.0003634016,0.387691,0.6103561,0.00024640554,0.00014060126,0.0007443745],"study_design_scores_gemma":[0.00042347555,0.00008144575,0.0015621757,0.00001641394,0.000010107638,0.000073689924,0.000078359124,0.98549277,0.008392471,0.0028824888,0.0007696988,0.00021690516],"about_ca_topic_score_codex":0.00005260887,"about_ca_topic_score_gemma":0.000056387253,"teacher_disagreement_score":0.60196364,"about_ca_system_score_codex":0.000050674083,"about_ca_system_score_gemma":0.000034546923,"threshold_uncertainty_score":0.87146354},"labels":[],"label_agreement":null},{"id":"W4388857379","doi":"10.1523/jneurosci.1009-23.2023","title":"Responses to Pattern-Violating Visual Stimuli Evolve Differently Over Days in Somata and Distal Apical Dendrites","year":2023,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada); McGill University; Université de Montréal; Vector Institute; Canadian Institute for Advanced Research; University of Toronto; Mila - Quebec Artificial Intelligence Institute; The Scarborough Hospital; York University","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada; Allen Institute; Canada Research Chairs; Government of Ontario; Government of Canada; Canadian Institute for Advanced Research; Alfred P. Sloan Foundation","keywords":"Neocortex; Neuroscience; Calcium imaging; Visual cortex; Sensory system; Apical dendrite; Biology; Cerebral cortex; Calcium; Chemistry","score_opus":0.05535338667947718,"score_gpt":0.3326519926192194,"score_spread":0.2772986059397422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388857379","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973143,0.000005841424,0.00075197074,0.00096532016,0.00080335396,0.00010464073,0.000015596552,0.000025711215,0.000013286295],"genre_scores_gemma":[0.9985197,0.000031944102,0.00003589864,0.0011747162,0.00008148051,0.0000019433992,2.670664e-7,0.000013030654,0.00014101148],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9981085,0.00017271584,0.00041148585,0.00037715648,0.000581742,0.00034838065],"domain_scores_gemma":[0.9986829,0.0007868143,0.00018294471,0.000119646415,0.000030339103,0.00019731342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000350356,0.0001414286,0.00020246343,0.00041093538,0.00016794368,0.00022379354,0.0003192022,0.000034531207,0.0000059867953],"category_scores_gemma":[0.003019278,0.00011179667,0.000055927525,0.0009065914,0.00012757473,0.0005082253,0.00027246756,0.0002991677,0.000006692598],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000087492765,0.00005792915,0.05858138,0.0000085168,2.8960517e-7,0.00035924822,0.000110741676,0.00015252506,0.9377461,0.000043446704,0.0000936186,0.0027587002],"study_design_scores_gemma":[0.00038785939,0.0006066967,0.90308565,0.00007544212,0.0000035360563,0.00024866333,0.00004661974,0.08433765,0.010737351,0.00020702602,0.000120777724,0.00014270346],"about_ca_topic_score_codex":0.000006231375,"about_ca_topic_score_gemma":0.000007636455,"teacher_disagreement_score":0.92700875,"about_ca_system_score_codex":0.000035797297,"about_ca_system_score_gemma":0.000039289414,"threshold_uncertainty_score":0.45589358},"labels":[],"label_agreement":null},{"id":"W4388914515","doi":"10.1016/j.nlm.2023.107866","title":"The influence of learning history on anterograde interference","year":2023,"lang":"en","type":"article","venue":"Neurobiology of Learning and Memory","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada","keywords":"Session (web analytics); Asymptote; Psychology; Motor learning; Interference theory; Duration (music); Cognitive psychology; Task (project management); Audiology; Neuroscience; Cognition; Working memory; Computer science; Physics; Medicine; Mathematics","score_opus":0.025322395116734533,"score_gpt":0.25269357812130194,"score_spread":0.2273711830045674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388914515","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984677,0.000037988615,0.000002864899,0.00026049136,0.00037198316,0.000063256855,8.0174846e-7,0.00007869961,0.00071624166],"genre_scores_gemma":[0.99656874,0.00055658736,0.000002170283,0.00012415834,0.000015606405,0.0000040364216,0.0000012792825,0.0000094587385,0.0027179613],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99891585,0.00036701892,0.00019262909,0.00026405242,0.00007456706,0.0001858901],"domain_scores_gemma":[0.99847007,0.0011738148,0.00019028923,0.00010842497,0.000028519198,0.000028872239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000269354,0.000094145566,0.00014876739,0.000102660575,0.00016349606,0.0000059433737,0.00015161827,0.000053654952,0.0000051433085],"category_scores_gemma":[0.0013087887,0.00006769557,0.000041821833,0.00014135551,0.0005000713,0.000039248345,0.000092155045,0.0004572081,0.000012805812],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008319744,0.000012526229,0.0041923085,0.000021704798,0.0000027652359,0.000004374409,0.00023436143,0.0039222077,0.9844823,0.0003870945,0.000106094514,0.006551064],"study_design_scores_gemma":[0.0024212436,0.015000223,0.3154096,0.00061552547,0.000066133514,0.00020123471,0.001712625,0.017710969,0.5029403,0.0008334178,0.14205696,0.001031783],"about_ca_topic_score_codex":0.000006394891,"about_ca_topic_score_gemma":0.0000013534592,"teacher_disagreement_score":0.48154202,"about_ca_system_score_codex":0.000010977595,"about_ca_system_score_gemma":0.000017262231,"threshold_uncertainty_score":0.2760545},"labels":[],"label_agreement":null},{"id":"W4388929318","doi":"10.1101/2023.11.22.568048","title":"Adolescent Thalamocortical Inhibition Alters Prefrontal Excitation-Inhibition Balance","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Columbia College","funders":"","keywords":"Prefrontal cortex; Excitatory postsynaptic potential; Neuroscience; Inhibitory postsynaptic potential; Nucleus accumbens; Thalamus; Psychology; Chemistry; Cognition; Central nervous system","score_opus":0.02898508389577577,"score_gpt":0.23634315486658988,"score_spread":0.2073580709708141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388929318","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98881346,0.000036729878,0.004483198,0.00080159813,0.0031650693,0.0012019568,0.00039979038,0.0010796837,0.000018495133],"genre_scores_gemma":[0.99737453,0.00016462035,0.00043314006,0.0008135892,0.00068594905,0.00033302695,0.000002623934,0.00016678499,0.000025732965],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9959793,0.00025819876,0.0006755197,0.001646928,0.00075673946,0.0006832942],"domain_scores_gemma":[0.99815243,0.00014835593,0.00045932352,0.0007387108,0.0002134594,0.00028772512],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00037858423,0.00058066397,0.0004445522,0.00032498167,0.0002890997,0.00036056616,0.0002746975,0.00045442954,0.000033075743],"category_scores_gemma":[0.00064106734,0.0006307976,0.00022247828,0.000595659,0.00019083291,0.00036583393,0.00043819752,0.0009941197,0.0004135582],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005196957,0.00017354128,0.0010260975,0.00029592717,0.0000129655955,0.0001958445,0.000006473354,0.00022075762,0.995514,0.0018944605,0.00060609257,0.0000018895365],"study_design_scores_gemma":[0.0008085302,0.0001256803,0.2173388,0.0010015497,0.000071949784,1.8332597e-7,0.0000035232351,0.013867367,0.76525664,0.00009922097,0.00034144783,0.0010850874],"about_ca_topic_score_codex":0.000021095526,"about_ca_topic_score_gemma":0.0000026540745,"teacher_disagreement_score":0.23025732,"about_ca_system_score_codex":0.00048022685,"about_ca_system_score_gemma":0.00020717739,"threshold_uncertainty_score":0.99961436},"labels":[],"label_agreement":null},{"id":"W4388973544","doi":"10.1016/j.fmre.2023.08.010","title":"Functional diversity of visual cortex improves constraint-free natural image reconstruction from human brain activity","year":2023,"lang":"en","type":"article","venue":"Fundamental Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China; Natural Science Foundation of Shanghai","keywords":"Computer science; Artificial intelligence; Functional magnetic resonance imaging; Visual cortex; Constraint (computer-aided design); Pattern recognition (psychology); Feature (linguistics); Decoding methods; Computer vision; Psychology; Neuroscience; Mathematics; Algorithm","score_opus":0.09035213629813134,"score_gpt":0.3636308745531583,"score_spread":0.27327873825502697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388973544","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963378,0.0000030552908,0.000024673755,0.0010198394,0.0009398308,0.0003385609,0.00032171895,0.000115122864,0.00089941005],"genre_scores_gemma":[0.9974043,0.000009141056,0.000030851596,0.00007991596,0.00016644962,0.000011979085,0.00007521886,0.000016123035,0.0022060522],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9971888,0.00035913486,0.0002186549,0.00061079423,0.0011418796,0.0004807051],"domain_scores_gemma":[0.9982582,0.0010842006,0.00010680753,0.00030621825,0.00012085609,0.00012376333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006955076,0.00014917307,0.0001910849,0.00034978995,0.0010558957,0.00010715906,0.00037831574,0.00008862849,0.00051204546],"category_scores_gemma":[0.0010569625,0.00014631134,0.000117802236,0.0007953759,0.0010645951,0.0005060732,0.0014320093,0.00063699204,0.0001676023],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026513074,0.00011622799,0.0043542273,0.000018017936,0.000013271022,0.000022348524,0.000072500334,9.0025907e-7,0.9795872,0.00047231073,0.003386458,0.011691387],"study_design_scores_gemma":[0.0015224875,0.000653972,0.6032959,0.000035719702,0.000008130468,0.00002741904,0.000700086,0.0046892874,0.3801526,0.00852461,0.00014058487,0.0002492007],"about_ca_topic_score_codex":0.00074461626,"about_ca_topic_score_gemma":0.00015370421,"teacher_disagreement_score":0.5994346,"about_ca_system_score_codex":0.00021619085,"about_ca_system_score_gemma":0.00007668238,"threshold_uncertainty_score":0.8121203},"labels":[],"label_agreement":null},{"id":"W4389055989","doi":"10.3389/fpsyg.2023.1306023","title":"When philosophical nuance matters: safeguarding consciousness research from restrictive assumptions","year":2023,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; Medical Research Council; Azrieli Foundation; Israel Science Foundation","keywords":"Consciousness; Epistemology; Physicalism; Functionalism (philosophy of mind); Psychology; Artificial consciousness; Electromagnetic theories of consciousness; Philosophy of science; Cognitive science; Metaphysics; Philosophy","score_opus":0.1124998361254617,"score_gpt":0.3879471393468367,"score_spread":0.275447303221375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389055989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79055387,0.00014585351,0.019037513,0.16385037,0.015789403,0.0008498516,0.00020841807,0.00046394058,0.009100802],"genre_scores_gemma":[0.9903305,0.0004697119,0.0018318068,0.0062417095,0.00043517075,0.00013422861,0.00003479153,0.000045036886,0.00047703434],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971305,0.00072633347,0.0002919455,0.0008824041,0.0003629717,0.0006058363],"domain_scores_gemma":[0.9986773,0.0006646581,0.00006438123,0.0004598446,0.00004420353,0.00008961174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005991822,0.00014418007,0.00024964148,0.0008024782,0.00025369495,0.000052867355,0.00047034252,0.00020188924,0.00007486257],"category_scores_gemma":[0.00056384556,0.00014746997,0.000060078084,0.0014618408,0.00049136777,0.00017813341,0.00013801793,0.00079489424,0.0004703939],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056396186,0.0002591959,0.036971167,0.000015422926,0.000026563552,0.0006519653,0.00090845383,0.00011551248,0.1230613,0.009910147,0.8010594,0.026456896],"study_design_scores_gemma":[0.0011586011,0.00015018489,0.043038636,0.000049270802,0.0000066981333,0.000020686153,0.00030882464,0.006210556,0.0008048164,0.9213247,0.026644554,0.00028251615],"about_ca_topic_score_codex":0.000049100352,"about_ca_topic_score_gemma":0.000014337204,"teacher_disagreement_score":0.9114145,"about_ca_system_score_codex":0.000108158914,"about_ca_system_score_gemma":0.000026985635,"threshold_uncertainty_score":0.6046119},"labels":[],"label_agreement":null},{"id":"W4389084140","doi":"10.1121/10.0023397","title":"Spatial separation between two sounds affects the timing of action potentials elicited by the sounds in the rat's auditory midbrain neurons","year":2023,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Natural sounds; Sound (geography); Acoustics; Inferior colliculus; Auditory system; Midbrain; Sensory system; Computer science; Speech recognition; Neuroscience; Psychology; Physics","score_opus":0.03762629217049311,"score_gpt":0.3173957846537931,"score_spread":0.27976949248329996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389084140","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9202065,0.000027388822,0.043324444,0.0348056,0.00105749,0.00044380166,0.000026219772,0.00001910643,0.00008947743],"genre_scores_gemma":[0.996432,0.00015463575,0.000051897674,0.0026214614,0.0005873583,0.00000418417,0.0000019675572,0.000017027034,0.00012945544],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966894,0.0014944063,0.00048566688,0.00014555424,0.0008976311,0.00028738318],"domain_scores_gemma":[0.9934247,0.0052402937,0.00083471276,0.00038496015,0.00007892412,0.000036380432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002087389,0.00016254825,0.00027323503,0.00003371364,0.0006450317,0.00006874516,0.0010145798,0.00006474908,0.00001361987],"category_scores_gemma":[0.0009880782,0.00006412907,0.0003840951,0.0009323957,0.00087443664,0.00014829749,0.00017615058,0.0007901022,0.0000038078854],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010734303,0.000071512586,0.00011920235,0.000017463259,0.0000414895,8.615666e-7,0.0014281942,0.017164022,0.9160394,0.000011928658,0.05860566,0.0063929157],"study_design_scores_gemma":[0.0013741632,0.0011825145,0.03367502,0.00012475577,0.0008168582,0.00013211969,0.0068049678,0.8981016,0.04832326,0.004468601,0.0046578594,0.00033824914],"about_ca_topic_score_codex":0.00013896485,"about_ca_topic_score_gemma":0.0000066150055,"teacher_disagreement_score":0.88093764,"about_ca_system_score_codex":0.000056058514,"about_ca_system_score_gemma":0.000067120214,"threshold_uncertainty_score":0.49611273},"labels":[],"label_agreement":null},{"id":"W4389100028","doi":"10.7554/elife.90735","title":"A novel method for estimating properties of attentional oscillators reveals an age-related decline in flexibility","year":2023,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Max-Planck-Gesellschaft","keywords":"Flexibility (engineering); Cognitive psychology; Cognitive flexibility; Psychology; Computer science; Mathematics; Statistics; Neuroscience; Cognition","score_opus":0.13418591382843767,"score_gpt":0.36308647010044814,"score_spread":0.22890055627201047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389100028","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98586035,0.000003748333,0.012729497,0.00052556396,0.0003613668,0.00036249845,0.000035095432,0.00008820678,0.00003367434],"genre_scores_gemma":[0.96732914,0.0000014250335,0.031856652,0.0003516683,0.000040693736,0.000034921737,0.000013291626,0.000013932002,0.00035826408],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877113,0.00009337453,0.00038147453,0.00033273964,0.00024482267,0.00017648455],"domain_scores_gemma":[0.9993842,0.00024554544,0.00011735439,0.00015462378,0.000056844463,0.000041432177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011471123,0.0000849448,0.00016592343,0.00011351019,0.00008064561,0.000019772606,0.00009929035,0.00004932306,0.0000064375567],"category_scores_gemma":[0.0025012149,0.000070104805,0.00006188442,0.0004992881,0.000057625093,0.00013209275,0.00007165627,0.00008436418,0.000006196135],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004291857,0.00006905006,0.0009832844,0.000054244756,0.0000019130496,0.000001833259,0.00008822152,0.008789961,0.98709553,0.0012650207,0.000041257004,0.0015667626],"study_design_scores_gemma":[0.00053330214,0.00010770349,0.017657971,0.0000644067,0.0000048131205,0.000007870633,0.000024401868,0.91559654,0.06279075,0.0030515858,0.000054365846,0.00010630656],"about_ca_topic_score_codex":0.0000592114,"about_ca_topic_score_gemma":0.000038288235,"teacher_disagreement_score":0.9243048,"about_ca_system_score_codex":0.000024833153,"about_ca_system_score_gemma":0.000029523895,"threshold_uncertainty_score":0.29943684},"labels":[],"label_agreement":null},{"id":"W4389135084","doi":"10.7554/elife.88028","title":"Sensory collectives in natural systems","year":2023,"lang":"en","type":"review","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Children's Hospital; University of Calgary","funders":"Office of Naval Research; Natural Sciences and Engineering Research Council of Canada; H2020 Marie Skłodowska-Curie Actions; Universität Konstanz; Canada Research Chairs; Max-Planck-Gesellschaft; Deutsche Forschungsgemeinschaft; Gips-Schüle-Stiftung; Alexander von Humboldt-Stiftung; Zukunftskolleg, Universität Konstanz","keywords":"Sensory system; Context (archaeology); Ecology; Cognitive science; Adaptation (eye); Population; Communication; Psychology; Biology; Sociology; Cognitive psychology; Neuroscience","score_opus":0.13003939144085863,"score_gpt":0.3544063756633646,"score_spread":0.22436698422250595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389135084","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0001097777,0.9937826,0.0000011478618,0.000014689003,0.0039871014,0.000765756,0.00005456667,0.00015563815,0.0011287371],"genre_scores_gemma":[0.00012360304,0.9784279,0.0000015462319,0.0000686574,0.00025232258,0.000096079966,0.000011118093,0.000050895018,0.020967914],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982192,0.00034755436,0.00038407993,0.0004966425,0.0002951149,0.00025742012],"domain_scores_gemma":[0.9988619,0.0006912619,0.0001727745,0.00021261985,0.000017414366,0.00004401394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001887992,0.00023776937,0.0007639593,0.00032257134,0.000077963545,0.00008114045,0.00016756947,0.00014831561,0.0000043510204],"category_scores_gemma":[0.0006999962,0.0001828756,0.00018320863,0.0009833995,0.000036869278,0.000060483366,0.00008284943,0.0004871187,0.0005252414],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047514342,0.00025066896,0.000012559593,0.07479635,0.00012222874,0.0030025584,0.00025533952,0.00020539394,0.0015903078,0.010137452,0.0228347,0.8867449],"study_design_scores_gemma":[0.000074666874,0.000020927566,0.0000052924993,0.0039069946,0.000023950657,0.00008385771,0.000009033938,0.0010109994,0.000011352964,0.000012796329,0.9945981,0.00024203083],"about_ca_topic_score_codex":0.000024546995,"about_ca_topic_score_gemma":0.000015465788,"teacher_disagreement_score":0.9717634,"about_ca_system_score_codex":0.00014986096,"about_ca_system_score_gemma":0.000109233544,"threshold_uncertainty_score":0.74574506},"labels":[],"label_agreement":null},{"id":"W4389142554","doi":"10.7554/elife.85012","title":"Eelbrain, a Python toolkit for time-continuous analysis with temporal response functions","year":2023,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":88,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; McMaster University","funders":"National Institute on Deafness and Other Communication Disorders; Office of Naval Research; Multidisciplinary University Research Initiative; Fonds Wetenschappelijk Onderzoek; National Institutes of Health; National Science Foundation","keywords":"Python (programming language); Computer science; Programming language; Computational biology; Biology","score_opus":0.021995520138694585,"score_gpt":0.2599372643095134,"score_spread":0.23794174417081884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389142554","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991867,0.0000038796247,0.003714713,0.0026515373,0.00025328776,0.00038914307,0.00013615041,0.00047343542,0.00051084504],"genre_scores_gemma":[0.92981154,0.000003525018,0.000213906,0.0014016988,0.00012703192,0.000118970485,0.00008005204,0.00003493263,0.068208344],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99857545,0.00013470814,0.00019487609,0.00047091517,0.0003070453,0.00031701318],"domain_scores_gemma":[0.99871373,0.0007088244,0.0000913026,0.00031748848,0.000075175725,0.00009345132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005227696,0.00014227777,0.00021447694,0.00039716222,0.00029249612,0.00009669858,0.00011551164,0.000053714655,0.000090669884],"category_scores_gemma":[0.0009571129,0.00011322669,0.00016811173,0.0022589008,0.000058414676,0.00015192595,0.00004355635,0.00009901588,0.00050239096],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0071681887,0.000216521,0.010600251,0.000029410168,0.00026691455,0.00018978906,0.00039412422,0.0058482243,0.85086536,0.00071130693,0.11929408,0.0044158394],"study_design_scores_gemma":[0.0041896477,0.003807008,0.12610365,0.000047168633,0.0010794302,0.000098825345,0.0004082034,0.35760236,0.052089833,0.0005268132,0.45247406,0.0015729815],"about_ca_topic_score_codex":0.000017166258,"about_ca_topic_score_gemma":0.000036118574,"teacher_disagreement_score":0.7987755,"about_ca_system_score_codex":0.000032191077,"about_ca_system_score_gemma":0.00005252677,"threshold_uncertainty_score":0.6457387},"labels":[],"label_agreement":null},{"id":"W4389146215","doi":"10.1101/2023.11.28.568861","title":"Visual to default network pathways: A double dissociation between semantic and spatial cognition","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Global Brain Health Institute","keywords":"Semantic memory; Functional magnetic resonance imaging; Default mode network; Cognition; Spatial contextual awareness; Cognitive psychology; Episodic memory; Psychology; Computer science; Dissociation (chemistry); Context (archaeology); Neuroscience; Artificial intelligence; Biology; Chemistry","score_opus":0.03952479985514168,"score_gpt":0.25370741868928176,"score_spread":0.21418261883414008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389146215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9877409,0.000027480104,0.007510557,0.00047763085,0.002069075,0.0011895822,0.00030356323,0.00067527127,0.0000059377153],"genre_scores_gemma":[0.9975106,0.00007272976,0.00023145381,0.0003879618,0.0014398174,0.00021136124,0.0000025875204,0.00013331066,0.000010189689],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9969435,0.00017583297,0.0004899806,0.0012595375,0.00051431847,0.00061684113],"domain_scores_gemma":[0.99844354,0.00025844586,0.00037555923,0.00043839272,0.00019226604,0.00029176607],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005332128,0.00045162253,0.00047852105,0.00023321716,0.00037062677,0.00043766003,0.00026864832,0.00042218564,0.0000083521],"category_scores_gemma":[0.00048996165,0.0004955655,0.00010761595,0.0007180179,0.00006544305,0.00016609477,0.0006238126,0.0005973579,0.00016060975],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000101309306,0.00007914909,0.013175802,0.0002632863,0.000050763487,0.000052994845,0.000018387143,0.00047079806,0.9849944,0.00044639022,0.0003104115,0.000036295565],"study_design_scores_gemma":[0.0014940744,0.00035513553,0.66109025,0.00093228114,0.00034653812,4.100962e-8,0.000003885722,0.021187725,0.31193224,0.00018112047,0.0007352999,0.0017413943],"about_ca_topic_score_codex":0.00018784704,"about_ca_topic_score_gemma":0.00003372272,"teacher_disagreement_score":0.67306215,"about_ca_system_score_codex":0.0001721797,"about_ca_system_score_gemma":0.00014829276,"threshold_uncertainty_score":0.9997496},"labels":[],"label_agreement":null},{"id":"W4389164949","doi":"10.1038/s41467-023-43777-z","title":"Endogenous noise of neocortical neurons correlates with atypical sensory response variability in the Fmr1−/y mouse model of autism","year":2023,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Vancouver Coastal Health","funders":"Fondation de France; Fondation pour la Recherche Médicale; Institut National de la Santé et de la Recherche Médicale","keywords":"Neuroscience; Autism; Sensory system; Sensory processing; Stimulus (psychology); Fragile X syndrome; Endogeny; Biological neural network; Psychology; Biology; Developmental psychology; Cognitive psychology","score_opus":0.061837692022313526,"score_gpt":0.29015037236447877,"score_spread":0.22831268034216523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389164949","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9904373,0.000022190443,0.0001660579,0.008207599,0.000042051925,0.00039294356,0.00011753275,0.000060259477,0.0005540565],"genre_scores_gemma":[0.99899447,0.00009954071,0.0002858322,0.00039650674,0.0000035330204,0.000024193512,0.000011918017,0.000013253869,0.0001707581],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977031,0.0013331686,0.00030192963,0.00022349234,0.0002613105,0.0001770092],"domain_scores_gemma":[0.9924393,0.005687435,0.00011239514,0.0016661038,0.000057747857,0.000036997913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088930386,0.000105218714,0.00016399045,0.00012484973,0.00016339125,0.000012629298,0.00091590296,0.00016175161,0.0000028939758],"category_scores_gemma":[0.0027482496,0.00007288157,0.0000620735,0.00084313494,0.00046531588,0.00007482282,0.00020384678,0.0010505362,0.000005259893],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066703645,0.000411551,0.0023394993,0.000011758343,0.0000041392836,0.0000047084663,0.00061695295,0.008882977,0.91286105,0.07395204,0.00011898615,0.00012927766],"study_design_scores_gemma":[0.0006900229,0.00030019233,0.08321345,0.000029109546,0.000049581886,0.000057672212,0.00013370148,0.87835795,0.03030704,0.006306002,0.00034087704,0.0002144338],"about_ca_topic_score_codex":0.000013338398,"about_ca_topic_score_gemma":0.00006049341,"teacher_disagreement_score":0.88255405,"about_ca_system_score_codex":0.000025557212,"about_ca_system_score_gemma":0.000096276766,"threshold_uncertainty_score":0.45641154},"labels":[],"label_agreement":null},{"id":"W4389233039","doi":"10.1523/eneuro.0096-23.2023","title":"Meso-Py: Dual Brain Cortical Calcium Imaging in Mice during Head-Fixed Social Stimulus Presentation","year":2023,"lang":"en","type":"article","venue":"eNeuro","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada; Nvidia","keywords":"Neuroscience; Whisking in animals; Calcium imaging; Stimulus (psychology); Somatosensory system; Psychology; Medicine; Calcium","score_opus":0.04441902130600799,"score_gpt":0.32463904201366617,"score_spread":0.28022002070765817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389233039","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99139863,0.0000025434047,0.00012420895,0.0064285314,0.0008076377,0.00019597085,0.000015217624,0.00021525193,0.0008119877],"genre_scores_gemma":[0.9962058,0.000003348342,0.000008095543,0.0014412377,0.00016049287,0.000019548404,0.000011108629,0.000020820033,0.0021295524],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99839467,0.00025386142,0.00024070984,0.00044716403,0.0002795144,0.00038405598],"domain_scores_gemma":[0.99919254,0.000576938,0.00005078366,0.00010765879,0.000017673317,0.000054428954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016105759,0.00012988951,0.00012853557,0.00020939206,0.00024815233,0.000076988545,0.000121123245,0.000041151266,0.0000194585],"category_scores_gemma":[0.0010043444,0.0001380271,0.00005553067,0.00071890984,0.00006634577,0.00019862775,0.00013008491,0.00025382295,0.00006410945],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007214254,0.00003923242,0.002270891,0.000018756344,8.715822e-7,0.00025038258,0.00020760355,0.0007130423,0.9935124,0.00067197287,0.0012704345,0.00097230077],"study_design_scores_gemma":[0.0018587074,0.000071781054,0.5503859,0.000027405145,0.00001142346,0.00004864664,0.00012514622,0.17284448,0.27254173,0.0007341509,0.00097596744,0.00037467695],"about_ca_topic_score_codex":0.000056941604,"about_ca_topic_score_gemma":0.000035183417,"teacher_disagreement_score":0.72097063,"about_ca_system_score_codex":0.000053492593,"about_ca_system_score_gemma":0.000031769545,"threshold_uncertainty_score":0.56285816},"labels":[],"label_agreement":null},{"id":"W4389273954","doi":"10.1038/s41598-023-48656-7","title":"Processing of the same narrative stimuli elicits common functional connectivity dynamics between individuals","year":2023,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Canada Excellence Research Chairs, Government of Canada; Ministère de l'Enseignement Supérieur et de la Recherche; European Commission; Wellcome Trust; Canadian Institute for Advanced Research","keywords":"Brain activity and meditation; Dynamics (music); Functional connectivity; Information processing; Cognition; Synchronization (alternating current); Cognitive psychology; Sensory processing; Network dynamics; Neuroscience; Psychology; Electroencephalography; Functional magnetic resonance imaging; Anticipation (artificial intelligence); Sensory system; Computer science; Artificial intelligence","score_opus":0.05815101249825837,"score_gpt":0.2978757580273736,"score_spread":0.2397247455291152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389273954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99278,0.0000051310412,0.00026937248,0.0008902311,0.004842038,0.00037732127,0.000041828473,0.00012858817,0.0006654474],"genre_scores_gemma":[0.9968281,6.204139e-7,0.00001501791,0.00010505756,0.000062192885,0.000015562564,0.000057497546,0.000014522551,0.0029014207],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974223,0.00017911776,0.00046324808,0.0007248612,0.00091838726,0.00029209236],"domain_scores_gemma":[0.99833995,0.00035600422,0.0005678527,0.0005202479,0.00013427735,0.000081690916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014193661,0.0001443019,0.00021528476,0.00018744156,0.0010538166,0.00020672067,0.0002119837,0.000069795446,0.000028820465],"category_scores_gemma":[0.0014210988,0.000103184466,0.00010891928,0.002131403,0.00055121776,0.00028810636,0.00023327637,0.00021457694,0.000010228538],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025066329,0.00020017884,0.4845659,0.0001521441,0.000025942414,0.0001113238,0.0034938639,0.0101856105,0.4641816,0.0022460043,0.01393181,0.02088055],"study_design_scores_gemma":[0.00040307333,0.000120554,0.6326993,0.00017232528,0.00006132996,0.00023889398,0.0010529102,0.07652352,0.16781323,0.11647624,0.0038622976,0.00057630794],"about_ca_topic_score_codex":0.000026941056,"about_ca_topic_score_gemma":0.000070524955,"teacher_disagreement_score":0.29636836,"about_ca_system_score_codex":0.000085607695,"about_ca_system_score_gemma":0.00019787106,"threshold_uncertainty_score":0.81052125},"labels":[],"label_agreement":null},{"id":"W4389338091","doi":"10.7554/elife.92860.1.sa3","title":"eLife Assessment: Natural forgetting reversibly modulates engram expression","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Irish Research Council; Science Foundation Ireland","keywords":"Engram; Forgetting; Optogenetics; Recall; Neuroscience; Psychology; Object (grammar); Computer science; Cognitive psychology; Artificial intelligence","score_opus":0.0467666031087467,"score_gpt":0.3366475624185376,"score_spread":0.2898809593097909,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389338091","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015237485,0.02460332,0.0030388704,0.4903434,0.24715829,0.015541429,0.003115225,0.012524027,0.18843795],"genre_scores_gemma":[0.011064146,0.014307254,0.000938729,0.016945375,0.0010130906,0.00010683089,0.0010589354,0.00017075636,0.9543949],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965528,0.00020967514,0.0005533609,0.0011035765,0.0010281771,0.00055240846],"domain_scores_gemma":[0.99809545,0.00065288664,0.000397399,0.0005895648,0.000139601,0.00012506667],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00047862428,0.00047685238,0.0005955943,0.00022630436,0.0003821487,0.00016479574,0.0005924282,0.00026820548,0.00028357923],"category_scores_gemma":[0.0014932596,0.0003650383,0.0003524649,0.00064363104,0.00005167547,0.00029053763,0.0004821421,0.0011364425,0.00027146502],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003890599,0.000023961966,0.0000046988275,0.0011865878,0.000007805796,0.00003251297,0.0000035924436,0.0000147913115,0.063227266,0.00029442346,0.9270548,0.008145646],"study_design_scores_gemma":[0.00023043138,0.00007304462,0.000051714018,0.0043549794,0.00007587815,0.000022644743,0.000007548223,0.018102698,0.013012956,0.00056967046,0.9628104,0.0006880442],"about_ca_topic_score_codex":0.000034365206,"about_ca_topic_score_gemma":0.000018619412,"teacher_disagreement_score":0.76595694,"about_ca_system_score_codex":0.00012346015,"about_ca_system_score_gemma":0.000103252554,"threshold_uncertainty_score":0.99988014},"labels":[],"label_agreement":null},{"id":"W4389348186","doi":"10.7554/elife.92860.1","title":"Natural forgetting reversibly modulates engram expression","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Irish Research Council; Science Foundation Ireland","keywords":"Engram; Forgetting; Optogenetics; Recall; Neuroscience; Object (grammar); Psychology; Computer science; Cognitive psychology; Artificial intelligence","score_opus":0.05060989088806202,"score_gpt":0.2813946780204774,"score_spread":0.2307847871324154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389348186","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98029244,0.000038990715,0.0013719982,0.0023402688,0.010612081,0.00071174145,0.000042070555,0.0014935032,0.0030969044],"genre_scores_gemma":[0.97499055,0.00007190043,0.0008886697,0.0005963634,0.00026280602,0.000028032146,0.000045049917,0.00005059832,0.02306602],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980795,0.0000893754,0.00026930167,0.000872887,0.00035287763,0.00033610195],"domain_scores_gemma":[0.9989537,0.00031613375,0.00016974786,0.00045136668,0.00003942597,0.00006959955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016938009,0.0002637173,0.00022265944,0.00016689966,0.00022878026,0.00017352955,0.00041114216,0.00021867748,0.000046801844],"category_scores_gemma":[0.0007257243,0.00021175115,0.00018297616,0.00019708206,0.000040277715,0.00014227972,0.0013002064,0.00084086676,0.00015349522],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017225488,0.000020704412,0.00009023387,0.00010976328,0.000004538451,0.000030479843,0.000041467156,0.0013727242,0.9883373,0.0009888387,0.006222565,0.0027642094],"study_design_scores_gemma":[0.00025024897,0.000045788012,0.000825399,0.00036413773,0.000020029573,0.000012897837,0.00003994463,0.27573672,0.6878255,0.031988565,0.0022220998,0.0006686978],"about_ca_topic_score_codex":0.00003383535,"about_ca_topic_score_gemma":0.000009117707,"teacher_disagreement_score":0.30051178,"about_ca_system_score_codex":0.000056296118,"about_ca_system_score_gemma":0.000029578154,"threshold_uncertainty_score":0.8634961},"labels":[],"label_agreement":null},{"id":"W4389391185","doi":"10.1017/s0140525x23001504","title":"Neural networks need real-world behavior","year":2023,"lang":"en","type":"article","venue":"Behavioral and Brain Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Parallels; Task (project management); Computer science; Artificial intelligence; Artificial neural network; Object (grammar); Deep neural networks; Cognitive science; Path (computing); Cognitive neuroscience of visual object recognition; Psychology; Neuroscience; Cognitive psychology; Engineering","score_opus":0.09310631226901676,"score_gpt":0.3430056596293378,"score_spread":0.24989934736032104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389391185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950004,0.0000096038475,0.0000125550505,0.0025008721,0.00091753766,0.00025482994,0.000012599857,0.000322044,0.0009695172],"genre_scores_gemma":[0.99474823,0.00004231051,0.00003270207,0.00097579986,0.00012759611,0.000045657074,0.000006764002,0.000012788955,0.004008143],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99810034,0.0000959341,0.00022956892,0.00064045354,0.0004062834,0.0005274371],"domain_scores_gemma":[0.999347,0.00024012929,0.00008114241,0.00015893774,0.0000193075,0.00015352447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041640384,0.0001811326,0.00016781375,0.00028023944,0.00075177825,0.0003015431,0.00032144616,0.000055501358,0.000059451864],"category_scores_gemma":[0.00006099284,0.00013790817,0.000068737165,0.0020729941,0.00063108344,0.00042738797,0.00018603721,0.00017017628,0.00003216837],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005823276,0.0003257049,0.22627217,0.000015283978,0.0000018529428,0.0004081464,0.00030617247,0.0013914417,0.54404134,0.014605417,0.00997393,0.2026003],"study_design_scores_gemma":[0.00091360434,0.0012965094,0.6663712,0.000034684545,0.000058380876,0.00014136358,0.0004890718,0.31453148,0.008729239,0.0016655697,0.0046223947,0.001146471],"about_ca_topic_score_codex":0.00028968643,"about_ca_topic_score_gemma":0.00021929997,"teacher_disagreement_score":0.5353121,"about_ca_system_score_codex":0.000015567326,"about_ca_system_score_gemma":0.000020315261,"threshold_uncertainty_score":0.57821465},"labels":[],"label_agreement":null},{"id":"W4389397248","doi":"10.1017/s0140525x23001711","title":"Neither hype nor gloom do DNNs justice","year":2023,"lang":"en","type":"article","venue":"Behavioral and Brain Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Google (Canada)","funders":"","keywords":"Gloom; Economic Justice; Deep neural networks; Epistemology; Philosophy; Computer science; Political science; Artificial intelligence; Psychology; Artificial neural network; Law; Neuroscience","score_opus":0.11442877651242099,"score_gpt":0.3514465838051833,"score_spread":0.23701780729276228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389397248","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933569,0.000017865115,0.000021287695,0.0036307776,0.0007545668,0.00012987056,0.000023969342,0.00015835972,0.0019064483],"genre_scores_gemma":[0.99403393,0.000033666132,0.00007797752,0.0015585001,0.00010519194,0.0000110447345,0.0000017951153,0.000008277433,0.0041696224],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985533,0.000059631053,0.0001419907,0.00052319956,0.00037028594,0.00035158845],"domain_scores_gemma":[0.99947524,0.00023493412,0.000053478812,0.00011648906,0.000017970897,0.0001019105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035757085,0.0001252028,0.000109651824,0.00012520295,0.000621563,0.0002770451,0.00026531806,0.000045484117,0.00008023292],"category_scores_gemma":[0.00016318505,0.00008937355,0.000041208266,0.0011031597,0.0004557887,0.00033760673,0.00013279806,0.000095495576,0.00016806232],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021226519,0.00011003462,0.014939345,0.000018723582,8.4185024e-7,0.000073657095,0.00035141423,0.00004634918,0.89368486,0.01615675,0.0064026914,0.06819408],"study_design_scores_gemma":[0.0034031225,0.005765505,0.56706315,0.0002246167,0.0003007452,0.0006373305,0.006811797,0.05688913,0.12530728,0.0309563,0.19888504,0.0037559744],"about_ca_topic_score_codex":0.000055246135,"about_ca_topic_score_gemma":0.000023385717,"teacher_disagreement_score":0.7683776,"about_ca_system_score_codex":0.000008892171,"about_ca_system_score_gemma":0.000029113087,"threshold_uncertainty_score":0.4780623},"labels":[],"label_agreement":null},{"id":"W4389406005","doi":"10.1101/2023.12.05.570327","title":"Dynamics of brainstem arousal systems and pupil size predict cortical interactions for flexible decision-making","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"Deutsche Forschungsgemeinschaft","keywords":"Brainstem; Neuroscience; Arousal; Scale (ratio); Computer science; Psychology; Geography; Cartography","score_opus":0.030175643210821713,"score_gpt":0.2712801812904019,"score_spread":0.24110453807958016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389406005","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.943493,0.000069037254,0.046085052,0.00027467834,0.0063836775,0.001532808,0.0014803176,0.00067095604,0.000010448276],"genre_scores_gemma":[0.99727803,0.000090797155,0.0017574608,0.00010176792,0.00032321646,0.00026784997,5.342469e-7,0.00014638533,0.000033945224],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968519,0.00015251695,0.0008435801,0.0011853108,0.00047100414,0.0004956754],"domain_scores_gemma":[0.9947101,0.0033439447,0.0005950189,0.0008319731,0.00032500387,0.00019398969],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006137309,0.00044348536,0.0006404669,0.00030892235,0.00029636346,0.0003900575,0.0004524103,0.00035085608,0.000006314283],"category_scores_gemma":[0.0046995017,0.0004525463,0.00018341455,0.0005258556,0.0001915353,0.0002178408,0.0006011257,0.00071889657,0.000011027169],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031067865,0.00022312472,0.0034336795,0.0015374181,0.00010038993,0.000060345425,0.000011998408,0.0028654798,0.9696343,0.02140044,0.0003963003,0.000025844261],"study_design_scores_gemma":[0.0012845432,0.00043509004,0.042243462,0.003953689,0.0002958986,7.526525e-7,0.000029862642,0.9093171,0.03962232,0.0002595996,0.0011384739,0.0014192355],"about_ca_topic_score_codex":0.000023623952,"about_ca_topic_score_gemma":0.000008430015,"teacher_disagreement_score":0.930012,"about_ca_system_score_codex":0.00028704284,"about_ca_system_score_gemma":0.000270481,"threshold_uncertainty_score":0.99979264},"labels":[],"label_agreement":null},{"id":"W4389521942","doi":"10.1113/jp286013","title":"Connecting levels of analysis in the computational era","year":2023,"lang":"en","type":"article","venue":"The Journal of Physiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"General Dynamics (Canada); University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Content (measure theory); Computer science; Content analysis; Information retrieval; Data science; World Wide Web; Mathematics; Sociology; Social science","score_opus":0.05971695417946716,"score_gpt":0.309958076948391,"score_spread":0.25024112276892385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389521942","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981017,0.0000042821953,0.00030276467,0.00138644,0.00011587018,0.000031062016,0.0000046439754,0.0000027628444,0.000050444025],"genre_scores_gemma":[0.9994869,0.000009094586,0.000017369692,0.00042747622,0.000047282054,2.3279033e-7,5.941773e-7,0.0000021253443,0.000008923073],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991232,0.000402668,0.0002152822,0.000048983842,0.00013007222,0.000079771715],"domain_scores_gemma":[0.99783295,0.0018024624,0.00024989058,0.000069215865,0.00003763168,0.000007817395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006791404,0.000036823087,0.0001319135,0.00014718654,0.000062703766,0.000004587631,0.00022172877,0.000014634533,0.000027446255],"category_scores_gemma":[0.00025937066,0.000017855884,0.00007829163,0.00087616406,0.00004798058,0.000041352505,0.00002704103,0.00016129349,0.000004418272],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031849857,0.00001480563,0.00007998206,0.0000023923276,0.000017552573,0.0000025107581,0.00048696328,0.23884986,0.7588282,0.0011840338,0.00004413446,0.00045768626],"study_design_scores_gemma":[0.00045693092,0.00033217584,0.69806486,0.00001114691,0.000119726414,0.000090302776,0.0009136277,0.22649083,0.016830256,0.05655255,0.00006513158,0.00007248645],"about_ca_topic_score_codex":0.000007712735,"about_ca_topic_score_gemma":0.000007778731,"teacher_disagreement_score":0.74199796,"about_ca_system_score_codex":0.000006373649,"about_ca_system_score_gemma":0.000014158516,"threshold_uncertainty_score":0.07281418},"labels":[],"label_agreement":null},{"id":"W4389614903","doi":"10.7554/elife.92495.1.sa2","title":"eLife Assessment: Multi-day Neuron Tracking in High Density Electrophysiology Recordings using EMD","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Institutes of Health; University College London","keywords":"Computer science; Electrophysiology; Spike (software development); Tracking (education); Adaptation (eye); Neuron; Artificial intelligence; Receptive field; Pattern recognition (psychology); SIGNAL (programming language); Premovement neuronal activity; Neuroscience; Computer vision; Biology; Psychology","score_opus":0.09266902233348907,"score_gpt":0.3604953948912293,"score_spread":0.2678263725577402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389614903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90017015,0.0010313011,0.0070303674,0.03466619,0.04876505,0.004826354,0.00035993158,0.0016725273,0.0014781068],"genre_scores_gemma":[0.4436749,0.086364225,0.0046690684,0.105709195,0.0038424442,0.00033476212,0.0018070671,0.0012810808,0.35231727],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9958011,0.0006992609,0.00074497337,0.0014671775,0.00051198,0.0007755458],"domain_scores_gemma":[0.9981329,0.00066193903,0.0004724243,0.0005047712,0.0001253966,0.0001026007],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006418628,0.00053309376,0.000992941,0.00039358076,0.00022048049,0.00010690855,0.00048027767,0.00035060832,0.00012433446],"category_scores_gemma":[0.0013833387,0.000484517,0.00025170622,0.0010454791,0.000076541044,0.00021792215,0.0003010075,0.0014825697,0.00009385113],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028719229,0.00019836363,0.00012514202,0.0012982206,0.00001633543,0.00039763522,0.000011245155,0.00037501016,0.8909615,0.00037251844,0.084192485,0.022022786],"study_design_scores_gemma":[0.0038789767,0.0019107737,0.059313476,0.010382378,0.0006950433,0.0004613302,0.000024161043,0.49861708,0.034757078,0.0025248916,0.38072202,0.006712796],"about_ca_topic_score_codex":0.0016828004,"about_ca_topic_score_gemma":0.000813962,"teacher_disagreement_score":0.85620445,"about_ca_system_score_codex":0.00034100524,"about_ca_system_score_gemma":0.00018445431,"threshold_uncertainty_score":0.9997606},"labels":[],"label_agreement":null},{"id":"W4389625243","doi":"10.4324/9781003396536-15","title":"Affordance Switching in Self-Organizing Brain-Body-Environment Systems","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Affordance; Human–computer interaction; Psychology; Computer science; Cognitive science; Neuroscience; Communication","score_opus":0.026977331890071662,"score_gpt":0.21555840304758825,"score_spread":0.1885810711575166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389625243","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0073543875,0.000111392146,0.0013367614,0.0017946807,0.0044475454,0.0016113435,0.000043204633,0.001303489,0.9819972],"genre_scores_gemma":[0.079878196,0.00055815344,0.00008211617,0.0010527222,0.000294778,0.000023957147,0.0000116961155,0.00020853191,0.91788983],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.997684,0.000039055536,0.00048313593,0.00090244703,0.0005033092,0.00038806672],"domain_scores_gemma":[0.99881536,0.00042728684,0.00023157959,0.000428157,0.00000937593,0.00008826004],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002776197,0.00039176142,0.00038282885,0.00026035908,0.00014574318,0.00013377184,0.00031200307,0.00024386031,0.00011737073],"category_scores_gemma":[0.00008688269,0.0003635736,0.0001032808,0.00008580066,0.00002860323,0.00014196646,0.00023732835,0.00061451126,0.0013200053],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017507313,0.00004521325,0.000047150243,0.00025743994,0.000020146317,0.00049901137,0.00013360348,0.0012901028,0.15360261,0.8396671,0.0022212127,0.002198917],"study_design_scores_gemma":[0.002188143,0.0007000899,0.0006190797,0.0024166377,0.00012312541,0.00044162627,0.00016490815,0.15653154,0.0083490955,0.06159718,0.7617219,0.0051466827],"about_ca_topic_score_codex":0.00003884603,"about_ca_topic_score_gemma":0.000022220585,"teacher_disagreement_score":0.7780699,"about_ca_system_score_codex":0.00028226298,"about_ca_system_score_gemma":0.000031343683,"threshold_uncertainty_score":0.9998816},"labels":[],"label_agreement":null},{"id":"W4389683501","doi":"10.31234/osf.io/gbzd6","title":"The conductor model of consciousness, our neuromorphic twins, and the human-AI deal","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Horizon 2020 Framework Programme","keywords":"Consciousness; Turing test; Artificial intelligence; Artificial consciousness; Neuromorphic engineering; Blueprint; Cognitive science; Computer science; Turing; Artificial neural network; Artificial general intelligence; Psychology; Engineering; Neuroscience","score_opus":0.11497910872220579,"score_gpt":0.3045733044334008,"score_spread":0.189594195711195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389683501","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97260886,0.00004601638,0.00034450722,0.02305308,0.0017474861,0.000976767,0.00014033829,0.0001732921,0.00090962247],"genre_scores_gemma":[0.9891682,0.00036168835,0.00001446232,0.0016912251,0.00008500921,0.000054481112,0.000006962904,0.000036668785,0.008581278],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981485,0.00026766304,0.00039122583,0.00057737523,0.00036271967,0.00025249005],"domain_scores_gemma":[0.9983333,0.00065350585,0.0002655387,0.0006145867,0.00008005307,0.000053021748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000525884,0.00024259005,0.0003237099,0.000055716617,0.00051099574,0.00022128032,0.00060964696,0.00013210821,0.0000045540646],"category_scores_gemma":[0.00037758308,0.000122013786,0.00013709211,0.000114754344,0.00058115425,0.00005508133,0.001071358,0.0007297025,0.0000116933725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019895498,0.00007676748,0.00029678905,0.00022106236,0.000047559326,0.000023096445,0.00030298662,0.02260564,0.42348906,0.5386254,0.013574571,0.00053806306],"study_design_scores_gemma":[0.0012030429,0.00006140599,0.0006196588,0.00004930489,0.00007274627,0.000025937345,0.00014038461,0.7954934,0.00802607,0.19354776,0.00039647895,0.00036378723],"about_ca_topic_score_codex":0.00022481583,"about_ca_topic_score_gemma":0.00014905326,"teacher_disagreement_score":0.77288777,"about_ca_system_score_codex":0.000014300879,"about_ca_system_score_gemma":0.000109560395,"threshold_uncertainty_score":0.49755776},"labels":[],"label_agreement":null},{"id":"W4389703547","doi":"10.1152/jn.00086.2023","title":"Reversible deactivation of motor cortex reveals that areas in parietal cortex are differentially dependent on motor cortex for the generation of movement","year":2023,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Neurological Disorders and Stroke; James S. McDonnell Foundation","keywords":"Posterior parietal cortex; Neuroscience; Motor cortex; Movement (music); Cortex (anatomy); Psychology; Primary motor cortex; Motor area; Physics; Stimulation","score_opus":0.05915485093482431,"score_gpt":0.27273190163759614,"score_spread":0.21357705070277183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389703547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973026,0.000005378913,0.0003160614,0.00041285626,0.0013883563,0.0004968672,0.000059167218,0.000008118653,0.000010597994],"genre_scores_gemma":[0.9987109,0.00023766718,0.000017679162,0.0005650214,0.00018573731,0.000014584062,0.000008753528,0.000018876653,0.0002408018],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99830157,0.00020981574,0.0006376617,0.00026323687,0.00038622247,0.00020147371],"domain_scores_gemma":[0.99761975,0.00071731035,0.0012401302,0.00021798667,0.00016009533,0.00004472714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015280716,0.00015066507,0.0003857817,0.0002466697,0.000089439214,0.00001622429,0.00026007794,0.00007248377,0.00001495008],"category_scores_gemma":[0.00051545806,0.00010515209,0.00018846853,0.0002532531,0.00007360809,0.00013637566,0.00006100471,0.00022794814,0.000002419749],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000902908,0.00018089775,0.0004943209,0.000036461803,0.000017881976,0.000019851379,0.000028980656,0.0015362409,0.99572426,0.0003443531,0.00013880512,0.00057502446],"study_design_scores_gemma":[0.0009962549,0.0024425783,0.86411196,0.000053224256,0.000037288937,0.000013468089,0.000051541218,0.026595486,0.10446379,0.0010955018,0.00003993133,0.00009897377],"about_ca_topic_score_codex":0.000013629319,"about_ca_topic_score_gemma":0.000009411329,"teacher_disagreement_score":0.8912605,"about_ca_system_score_codex":0.00005240503,"about_ca_system_score_gemma":0.000046020712,"threshold_uncertainty_score":0.42879775},"labels":[],"label_agreement":null},{"id":"W4389762390","doi":"10.1101/2023.12.14.571653","title":"Striatal dopamine reflects individual long-term learning trajectories","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; Medical Research Council; UK Research and Innovation; Wellcome Trust; Canadian Institute for Advanced Research","keywords":"Dopamine; Neuroscience; Psychology; Mirroring; Stimulus (psychology); Cognitive psychology; Striatum; Artificial intelligence; Machine learning; Computer science; Communication","score_opus":0.0462939729410095,"score_gpt":0.2619858118943922,"score_spread":0.21569183895338268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389762390","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99152136,0.00010416471,0.00045060352,0.00020738806,0.0050821244,0.0007020828,0.00037911136,0.0015430835,0.000010062779],"genre_scores_gemma":[0.9978193,0.00025557936,0.0001964811,0.00016906844,0.0010720304,0.00014827176,0.0000026515777,0.00024243536,0.00009419415],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9954852,0.00034851852,0.00063480955,0.0017718673,0.0008878945,0.000871709],"domain_scores_gemma":[0.99758697,0.00036159166,0.00057393365,0.0009884511,0.00019123984,0.00029781047],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006407224,0.0007290835,0.00062790303,0.0004821143,0.00047002904,0.00070536986,0.0009185481,0.00057667535,0.00004321104],"category_scores_gemma":[0.0017599881,0.00076830067,0.00022716707,0.0010486504,0.00019171687,0.00031063508,0.0010769366,0.0019383933,0.00021896878],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005460467,0.00009847068,0.014455962,0.00029893054,0.00006544075,0.00021743121,0.000012253024,0.0002873569,0.9838728,0.00051170343,0.00011597631,0.000009115721],"study_design_scores_gemma":[0.0006598122,0.00022501945,0.32158503,0.00036365548,0.00014809537,7.0065056e-8,0.0000020359432,0.0004966835,0.6747417,0.00000671877,0.00060340104,0.001167804],"about_ca_topic_score_codex":0.00003146225,"about_ca_topic_score_gemma":0.000008715043,"teacher_disagreement_score":0.30913106,"about_ca_system_score_codex":0.00024126323,"about_ca_system_score_gemma":0.0003883383,"threshold_uncertainty_score":0.9994768},"labels":[],"label_agreement":null},{"id":"W4389782639","doi":"10.1038/s41598-023-49847-y","title":"Temporal encoding in deep reinforcement learning agents","year":2023,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Neurological Institute and Hospital; Mila - Quebec Artificial Intelligence Institute; Canadian Institute for Advanced Research; McGill University; McGill University Health Centre","funders":"Compute Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research; Nvidia","keywords":"Mnemonic; Reinforcement learning; Encoding (memory); Computer science; Task (project management); Carry (investment); Working memory; Recurrent neural network; Reinforcement; Representation (politics); Neuroscience; Artificial intelligence; Artificial neural network; Cognition; Cognitive psychology; Psychology","score_opus":0.04711267251915957,"score_gpt":0.28247160060743437,"score_spread":0.2353589280882748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389782639","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98440725,0.0000030083268,0.00017167669,0.00014345492,0.007931462,0.00021788583,1.1737326e-7,0.00018899061,0.0069361287],"genre_scores_gemma":[0.979805,0.0000049486575,0.00001238236,0.000070944094,0.000032444954,0.000016386786,0.000023548411,0.000011131932,0.020023212],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979453,0.000060849725,0.00039076433,0.0006914096,0.00053982146,0.000371825],"domain_scores_gemma":[0.99935085,0.000052322015,0.00017983148,0.0003194735,0.0000241205,0.00007338353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012209933,0.000098958175,0.00010497383,0.00037732103,0.00037979055,0.00025419632,0.000109905974,0.00003550367,0.00012463809],"category_scores_gemma":[0.0007540096,0.00009141917,0.000054485503,0.0015359806,0.000084521496,0.00024797316,0.00013189156,0.00015987242,0.00019127625],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001060916,0.00003831733,0.042827055,0.000029313736,0.0000019199792,0.003568783,0.00075842504,0.118545026,0.8238944,0.0004683866,0.0051390408,0.0047187544],"study_design_scores_gemma":[0.00039491637,0.00011020655,0.012195586,0.00010398309,0.000006899042,0.00031935485,0.0003638897,0.7236061,0.15413316,0.01105659,0.09712323,0.0005860858],"about_ca_topic_score_codex":0.000024968687,"about_ca_topic_score_gemma":0.00002431399,"teacher_disagreement_score":0.66976124,"about_ca_system_score_codex":0.00006460156,"about_ca_system_score_gemma":0.000036303147,"threshold_uncertainty_score":0.37279657},"labels":[],"label_agreement":null},{"id":"W4389850796","doi":"10.1007/s11571-023-10031-7","title":"Modelling neural probabilistic computation using vector symbolic architectures","year":2023,"lang":"en","type":"article","venue":"Cognitive Neurodynamics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Air Force Office of Scientific Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation; Neuro Research Charitable Trust; National Coordination Office; Ontario Innovation Trust","keywords":"Probabilistic logic; Computer science; Connectionism; Theoretical computer science; Probability distribution; Artificial intelligence; Probability density function; Kernel density estimation; Entropy (arrow of time); Artificial neural network; Mathematics","score_opus":0.07107184893808045,"score_gpt":0.2954904424616859,"score_spread":0.22441859352360544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389850796","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.960153,0.0000046632836,0.037316646,0.00017808109,0.0009270504,0.0005432226,0.000090304864,0.00049990544,0.0002871412],"genre_scores_gemma":[0.99895805,0.000011230535,0.000085601474,0.0006002778,0.000112199246,0.00002065181,0.000054272274,0.00006857159,0.00008915074],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979257,0.00022923939,0.00029026778,0.00071890187,0.00035282952,0.00048304236],"domain_scores_gemma":[0.99862224,0.0009031271,0.00013381922,0.00014436207,0.000086578504,0.00010988514],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000113151895,0.00026688384,0.00021850852,0.00030380613,0.00036509935,0.00012700606,0.00016542572,0.00006956214,0.0000057002826],"category_scores_gemma":[0.00072089216,0.00026273308,0.00011154864,0.0010724881,0.00016668104,0.000120955745,0.00012758674,0.00035990647,0.00007010623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057372526,0.000038507125,0.000100317484,0.00003307635,0.0000036124895,0.00007606948,0.00010855392,0.92885965,0.066879496,0.0009777696,0.000004898183,0.0028606602],"study_design_scores_gemma":[0.00031505025,0.0001091785,0.002228572,0.000036231224,0.000029837824,0.00007377458,0.000024754156,0.99035114,0.00084650307,0.0057160063,0.000006515848,0.000262407],"about_ca_topic_score_codex":0.00001599193,"about_ca_topic_score_gemma":0.0000053143544,"teacher_disagreement_score":0.066033,"about_ca_system_score_codex":0.000051403917,"about_ca_system_score_gemma":0.000040487106,"threshold_uncertainty_score":0.9999825},"labels":[],"label_agreement":null},{"id":"W4389924416","doi":"10.1167/jov.23.15.3","title":"Invited Session I: 30 years of normalization in the visual system: Spatiotemporal fluctuations in E/I balance &amp; their impact on perception","year":2023,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Stimulus (psychology); Sensory system; Perception; Neuroscience; Normalization (sociology); Visual cortex; Excitatory postsynaptic potential; Population; Physics; Psychology; Computer science; Inhibitory postsynaptic potential; Cognitive psychology","score_opus":0.029604730079143354,"score_gpt":0.3350205924167431,"score_spread":0.30541586233759976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389924416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99862254,0.0000040463588,0.00034465277,0.00055947166,0.0002713586,0.00015635796,0.000007200511,0.000011489893,0.000022905677],"genre_scores_gemma":[0.9996278,0.00007018545,0.000017340097,0.00018935227,0.00006460755,0.0000016873341,0.000014150524,0.000008824395,0.0000060139673],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99849224,0.00036570177,0.00046286485,0.00012033108,0.00043777758,0.000121106146],"domain_scores_gemma":[0.99912405,0.00029488077,0.00038074114,0.00011274695,0.00006076995,0.0000267941],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008987093,0.00008786952,0.00016249076,0.00052661885,0.000053127715,0.000035855017,0.00014376048,0.000060624487,0.00001175647],"category_scores_gemma":[0.00033038226,0.000052446554,0.000080260834,0.0010848525,0.00002350352,0.00031339453,0.000022195183,0.00021535208,0.000014411326],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020894717,0.00018602794,0.012905796,0.00003579061,0.0000018824848,0.000021505859,0.0013362478,0.024622826,0.95234317,0.00005886136,0.00073456607,0.007544361],"study_design_scores_gemma":[0.0004506794,0.00044635442,0.86448354,0.0003386529,0.0000030798067,0.000024449922,0.00034217315,0.13260524,0.0010879844,0.00010617815,0.00005608002,0.000055618253],"about_ca_topic_score_codex":0.000035273708,"about_ca_topic_score_gemma":0.000016714892,"teacher_disagreement_score":0.9512552,"about_ca_system_score_codex":0.00013197788,"about_ca_system_score_gemma":0.000023420707,"threshold_uncertainty_score":0.21387084},"labels":[],"label_agreement":null},{"id":"W4389939008","doi":"10.7554/elife.92119","title":"Movies reveal the fine-grained organization of infant visual cortex","year":2023,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Faculty of Arts and Sciences; Canadian Institute for Advanced Research; Yale University; James S. McDonnell Foundation","keywords":"Visual cortex; Neuroscience; Cortex (anatomy); Computer science; Cognitive science; Psychology; Communication","score_opus":0.018892115714242517,"score_gpt":0.2652054919480424,"score_spread":0.24631337623379987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389939008","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99770224,0.000002914845,0.0000825367,0.0013271971,0.0003651989,0.000116212366,0.000010539257,0.00010027249,0.0002928766],"genre_scores_gemma":[0.9974056,0.00002887356,0.000006264837,0.0006738675,0.00007830913,0.0000034653358,0.000013593671,0.000011549453,0.0017784878],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993142,0.000049695467,0.00014638784,0.00014564898,0.00023231354,0.00011175625],"domain_scores_gemma":[0.9995514,0.000169791,0.00007333306,0.0001270155,0.000056830355,0.000021585149],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013541823,0.000059684844,0.000076351316,0.000050637842,0.00011603323,0.000020399691,0.00009485288,0.000024467352,0.000038090468],"category_scores_gemma":[0.0010927515,0.00003934024,0.000024948993,0.00086581055,0.000054772205,0.000060281316,0.00006770966,0.00006199549,0.00011085546],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008147877,0.00001674907,0.0038026422,0.000009772356,0.0000020159528,0.0000055869186,0.0001908233,0.00011909869,0.98651546,0.0028297466,0.005706904,0.0007930254],"study_design_scores_gemma":[0.00045970592,0.00020800003,0.41666177,0.00002489326,0.000015497799,0.00002060419,0.00014093315,0.030804543,0.544867,0.00052611064,0.0060577802,0.00021318866],"about_ca_topic_score_codex":0.00001319931,"about_ca_topic_score_gemma":0.0000066372113,"teacher_disagreement_score":0.4416485,"about_ca_system_score_codex":0.000007170266,"about_ca_system_score_gemma":0.000021226779,"threshold_uncertainty_score":0.16042484},"labels":[],"label_agreement":null},{"id":"W4390045593","doi":"10.7554/elife.92854.1","title":"Synaptic interactions between stellate cells and parvalbumin interneurons in layer 2 of the medial entorhinal cortex are organized at the scale of grid cell clusters","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Discovery Centre","funders":"Biotechnology and Biological Sciences Research Council","keywords":"Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Neuroscience; Parvalbumin; Hepatic stellate cell; Entorhinal cortex; Optogenetics; Postsynaptic potential; Interneuron; Biology; Hippocampus; Receptor","score_opus":0.0385906154704016,"score_gpt":0.2612652809306756,"score_spread":0.22267466546027398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390045593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941055,0.000007732781,0.000033102977,0.0011215504,0.0034047053,0.0006542045,0.0002860711,0.000031387088,0.0003557351],"genre_scores_gemma":[0.9956322,0.00009836103,0.0000081644275,0.00014451213,0.00009184524,0.000013779778,0.000010947728,0.00003629761,0.0039639412],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978693,0.00037762476,0.0005899418,0.0005716305,0.0003596652,0.0002318167],"domain_scores_gemma":[0.9975762,0.0011824116,0.00058356393,0.0005498741,0.000047780617,0.000060213817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002593055,0.00025091483,0.00041042222,0.00013593007,0.00009226403,0.00004231399,0.0005788148,0.00012586133,0.00011695269],"category_scores_gemma":[0.00017302342,0.00015129542,0.00016266355,0.0002926073,0.0003949428,0.000056820045,0.0020861318,0.0007252298,0.000023436725],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011716368,0.00009457757,0.022987494,0.00024792802,0.000029863642,0.000009356537,0.00091438036,0.00090254087,0.9732648,0.000011792743,0.0013130958,0.0001070121],"study_design_scores_gemma":[0.0010053059,0.0001464,0.079444125,0.00044257066,0.00022366349,0.000018521618,0.0006855007,0.01293867,0.90388566,0.00034377555,0.00044451343,0.00042128266],"about_ca_topic_score_codex":0.000320684,"about_ca_topic_score_gemma":0.0019392839,"teacher_disagreement_score":0.06937912,"about_ca_system_score_codex":0.00008531277,"about_ca_system_score_gemma":0.000049258982,"threshold_uncertainty_score":0.6169648},"labels":[],"label_agreement":null},{"id":"W4390066789","doi":"10.1177/20416695231214440","title":"Continuous psychophysics for two-variable experiments; A new “Bayesian participant” approach","year":2023,"lang":"en","type":"article","venue":"i-Perception","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Australian Research Council; University of Manitoba","keywords":"Psychophysics; Computer science; Bayesian probability; Stimulus (psychology); Artificial intelligence; Pattern recognition (psychology); Machine learning; Perception; Cognitive psychology; Psychology","score_opus":0.09309698136562344,"score_gpt":0.3343410651260085,"score_spread":0.24124408376038503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390066789","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8177832,0.0000060821326,0.17204362,0.0006863058,0.0017130803,0.001240325,0.0000394261,0.0006617666,0.0058262306],"genre_scores_gemma":[0.9891583,0.000013390493,0.002996214,0.0009470221,0.00052776193,0.00022452426,0.00006917529,0.000041768453,0.006021893],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99856883,0.000059493235,0.0002222184,0.00051582087,0.00021904522,0.0004145724],"domain_scores_gemma":[0.9994382,0.00007772318,0.00007691519,0.00026559882,0.000025142312,0.00011640297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015383076,0.00015943048,0.00017646448,0.00008321115,0.00021731583,0.000108180604,0.00015260752,0.00006475201,0.000099683726],"category_scores_gemma":[0.000094077826,0.00015076005,0.0000918825,0.00050288264,0.000040772884,0.0002452083,0.00003586244,0.00009986286,0.0002410764],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007768972,0.000094304596,0.000034507393,0.0000147777955,0.0000042644815,0.0000011498666,0.00045947253,0.00066525454,0.9701407,0.003942039,0.010267376,0.0142984735],"study_design_scores_gemma":[0.0053951833,0.00095386547,0.002413137,0.00006295015,0.00010613942,0.000029524834,0.002268736,0.8906891,0.045594275,0.026824735,0.024540149,0.0011222131],"about_ca_topic_score_codex":0.00005833812,"about_ca_topic_score_gemma":0.0000018082466,"teacher_disagreement_score":0.9245464,"about_ca_system_score_codex":0.000045253913,"about_ca_system_score_gemma":0.000029917646,"threshold_uncertainty_score":0.6147816},"labels":[],"label_agreement":null},{"id":"W4390082881","doi":"10.1101/2023.12.20.572703","title":"Effects of oscillation phase on discrimination performance in a visual tilt illusion","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Illusion; Visual processing; Stimulus (psychology); Grating; Psychology; Oscillation (cell signaling); Perception; Sensory system; Psychophysics; Optical illusion; Visual perception; Physics; Cognitive psychology; Neuroscience; Optics; Chemistry","score_opus":0.02428092952280639,"score_gpt":0.2625750131819055,"score_spread":0.23829408365909913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390082881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964049,0.000019754543,0.00039711533,0.00011465911,0.0018694104,0.0009198992,0.00004700237,0.000219981,0.0000072740927],"genre_scores_gemma":[0.99922675,0.00024372997,0.00006865527,0.00010512064,0.00014857925,0.000116811134,5.7196127e-7,0.00007911621,0.0000106944835],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975649,0.00018753698,0.00048286794,0.0008856751,0.00054164213,0.0003373939],"domain_scores_gemma":[0.9986351,0.00028453371,0.00042954492,0.0004392386,0.00012270747,0.000088863984],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038953702,0.00035213988,0.00037134215,0.0006231456,0.00011605688,0.00007239229,0.00027252876,0.0002907553,0.0000048584784],"category_scores_gemma":[0.0008515158,0.0003521181,0.00009435198,0.000801083,0.000081272054,0.00020545172,0.00029525944,0.0005185247,0.000048257963],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012500107,0.00034805198,0.00086061493,0.0008054072,0.000004536049,0.00002849567,0.000013064157,0.0007568913,0.99656117,0.00045320496,0.000010744634,0.000032823365],"study_design_scores_gemma":[0.00090685807,0.0003424184,0.1724522,0.00081912056,0.000022917775,6.3532677e-9,7.023521e-7,0.058708824,0.76633304,0.0000051759316,0.00007760666,0.00033112793],"about_ca_topic_score_codex":0.000020144227,"about_ca_topic_score_gemma":0.0000023692503,"teacher_disagreement_score":0.23022813,"about_ca_system_score_codex":0.00025201877,"about_ca_system_score_gemma":0.00012454714,"threshold_uncertainty_score":0.99989307},"labels":[],"label_agreement":null},{"id":"W4390092087","doi":"10.48550/arxiv.2312.12767","title":"Information thermodynamics of transition paths between multiple mesostates","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pairwise comparison; Statistical physics; Generality; Work (physics); Trajectory; Metastability; Markov chain; Computer science; Transition (genetics); Mechanism (biology); Asymmetry; Sampling (signal processing); Mathematics; Physics; Chemistry; Thermodynamics; Artificial intelligence; Statistics","score_opus":0.08179153913858689,"score_gpt":0.19052665572687355,"score_spread":0.10873511658828666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390092087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9383209,0.00000131671,0.059482157,0.000096443284,0.00041437495,0.00035885154,0.0006161725,0.00019558665,0.0005142124],"genre_scores_gemma":[0.99921274,0.00014437866,0.000022052642,0.000066504304,0.000038714617,0.000001034406,0.00028730286,0.000020592648,0.00020669293],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989238,0.0001165523,0.0002689254,0.00037190682,0.000111446454,0.00020738872],"domain_scores_gemma":[0.9988212,0.00031548334,0.00033222084,0.00037526776,0.000090411464,0.000065410604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000150562,0.00020996128,0.0002567234,0.00028783508,0.000103598846,0.000039132832,0.00035637344,0.00022610973,0.000013196864],"category_scores_gemma":[0.00013844775,0.00023092127,0.0001794062,0.00044064817,0.00010279936,0.00044839314,0.00025089533,0.0003619359,0.000062968335],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002751151,0.00012259434,0.007442023,0.00063278776,0.00008110154,0.00006865636,0.0016820568,0.93476117,0.02377149,0.02734478,0.00012915875,0.0036890423],"study_design_scores_gemma":[0.00054034026,0.00009113751,0.008601436,0.00009192199,0.00008805216,0.0000011652587,0.00023801792,0.9480342,0.005144008,0.036729924,0.00009132189,0.00034846982],"about_ca_topic_score_codex":0.00018204478,"about_ca_topic_score_gemma":0.00003137893,"teacher_disagreement_score":0.060891844,"about_ca_system_score_codex":0.00009764796,"about_ca_system_score_gemma":0.000052941698,"threshold_uncertainty_score":0.94166964},"labels":[],"label_agreement":null},{"id":"W4390128060","doi":"10.1016/j.pneurobio.2023.102563","title":"Phase of neural oscillations as a reference frame for attention-based routing in visual cortex","year":2023,"lang":"en","type":"article","venue":"Progress in Neurobiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Deutsche Forschungsgemeinschaft","keywords":"Neuroscience; Stimulus (psychology); Receptive field; Visual cortex; Sensory system; Local field potential; Psychology; Perception; Visual perception; Postsynaptic potential; Computer science; Biology; Cognitive psychology","score_opus":0.06620297008773804,"score_gpt":0.38104229653424887,"score_spread":0.3148393264465108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390128060","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981125,0.000006678195,0.00008318226,0.0006194996,0.00044763685,0.0005514002,0.000047458634,0.00008303334,0.000048621147],"genre_scores_gemma":[0.9993614,0.000006933824,0.000043426167,0.00030546804,0.000022498265,0.00014621025,0.000060833096,0.000015893567,0.00003735088],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998521,0.00018742998,0.0003907711,0.00046407423,0.000086413405,0.00035031897],"domain_scores_gemma":[0.998799,0.0008125224,0.00017321913,0.00014272938,0.00003992256,0.000032590495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020289615,0.00012446042,0.00021040834,0.00033114472,0.00007007138,0.000017369572,0.00017046779,0.00009402689,0.000010622546],"category_scores_gemma":[0.0007061794,0.00011841119,0.000056418754,0.00081387756,0.00018025163,0.000072907686,0.00006409529,0.00019744728,0.000011265379],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005718362,0.00086165254,0.14711137,0.000091183414,0.0000029416674,0.000051938652,0.000076415934,0.0012851885,0.8220734,0.008536968,0.000027415908,0.019309662],"study_design_scores_gemma":[0.0040056882,0.0023283968,0.11082042,0.00006752969,0.000007793523,0.000014561059,0.000030173293,0.86704993,0.013661502,0.001580739,0.00017177532,0.00026149885],"about_ca_topic_score_codex":0.000012542722,"about_ca_topic_score_gemma":0.000032966225,"teacher_disagreement_score":0.86576474,"about_ca_system_score_codex":0.000020176452,"about_ca_system_score_gemma":0.000040677885,"threshold_uncertainty_score":0.48286682},"labels":[],"label_agreement":null},{"id":"W4390143495","doi":"10.1101/2023.12.22.573036","title":"Specific inhibition and disinhibition in the higher-order structure of a cortical connectome","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute; Centre Hospitalier Universitaire Sainte-Justine","funders":"Alliance de recherche numérique du Canada; Centre de recherche du CHU Sainte-Justine; Fonds de Recherche du Québec - Santé; Board of the Swiss Federal Institutes of Technology; Institut de Valorisation des Données; École Polytechnique Fédérale de Lausanne; Canadian Institute for Advanced Research","keywords":"Disinhibition; Connectome; Neuroscience; Inhibitory postsynaptic potential; Excitatory postsynaptic potential; Neuron; Computer science; Biology; Psychology; Functional connectivity","score_opus":0.028237586592537545,"score_gpt":0.23165843642454234,"score_spread":0.20342084983200479,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390143495","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99675816,0.00006552962,0.00018899527,0.00088951294,0.0010056267,0.00061987253,0.0003445945,0.00012321646,0.0000044741123],"genre_scores_gemma":[0.9990652,0.0001766911,0.00012949773,0.00032912917,0.00020510454,0.000036234364,8.481374e-7,0.00005499837,0.0000023052532],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977268,0.00030363086,0.00044780227,0.00079808076,0.00041701904,0.000306682],"domain_scores_gemma":[0.9986623,0.0003284574,0.00026596282,0.00055419485,0.00011744533,0.0000716474],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00031328574,0.00030433593,0.00033335516,0.00024697755,0.000119044686,0.00016231986,0.00020612392,0.0003025348,0.000027283302],"category_scores_gemma":[0.0003493069,0.00024771172,0.00006433681,0.00083561934,0.00024034533,0.00012930908,0.00023686477,0.0008166023,0.0000106619345],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032732256,0.000059109792,0.00081741635,0.00014947893,0.000004323299,0.000055533863,0.000011718268,0.000049875456,0.98923534,0.009493606,0.000089889334,9.887373e-7],"study_design_scores_gemma":[0.000702877,0.000114403876,0.35497957,0.00040912672,0.000035429537,1.3419721e-7,0.000005823817,0.0011582355,0.64136,0.00035777446,0.00035746908,0.00051912613],"about_ca_topic_score_codex":0.000020646017,"about_ca_topic_score_gemma":0.000005405097,"teacher_disagreement_score":0.35416216,"about_ca_system_score_codex":0.00007634629,"about_ca_system_score_gemma":0.00007230461,"threshold_uncertainty_score":0.9999975},"labels":[],"label_agreement":null},{"id":"W4390167859","doi":"10.1016/j.tins.2023.11.008","title":"The pulvinar as a hub of visual processing and cortical integration","year":2023,"lang":"en","type":"article","venue":"Trends in Neurosciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":68,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Neuroscience; Thalamus; Sensory system; Psychology; Visual processing; Cognition; Predictive coding; Sensory processing; Coding (social sciences); Perception","score_opus":0.04846485251583611,"score_gpt":0.34659676668663275,"score_spread":0.29813191417079665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390167859","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99703133,0.000010416814,0.000025015703,0.0010107828,0.0005941802,0.000051107934,0.0000011006941,0.00004637645,0.001229691],"genre_scores_gemma":[0.9983349,0.00008030105,0.000006557282,0.00014130262,0.000014689263,0.000008528142,4.8170233e-7,0.000004589265,0.0014086822],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989125,0.00010260535,0.00018765684,0.00030197628,0.0002894492,0.00020579647],"domain_scores_gemma":[0.999454,0.00035044117,0.00007129994,0.000076584125,0.000012414656,0.00003526114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030074018,0.00007468976,0.0000848281,0.00019687552,0.00030923178,0.00012106449,0.00017489333,0.000022806275,0.0000032512269],"category_scores_gemma":[0.00084461545,0.000046026664,0.000020570053,0.0017274118,0.0004997752,0.00022142332,0.00007234162,0.0001277892,0.0000035184585],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036704118,0.0000370121,0.0009622214,0.000005988417,1.3884676e-7,0.000015337724,0.00021335209,0.00006249223,0.8237861,0.0053039463,0.00007300772,0.16950372],"study_design_scores_gemma":[0.00046270006,0.0013499624,0.16639224,0.000056808978,0.0000067467677,0.00007780337,0.00075487775,0.7220566,0.10115878,0.0066446313,0.0007853435,0.00025345158],"about_ca_topic_score_codex":0.000013299713,"about_ca_topic_score_gemma":0.000039555005,"teacher_disagreement_score":0.7226273,"about_ca_system_score_codex":0.000009131621,"about_ca_system_score_gemma":0.000025166974,"threshold_uncertainty_score":0.23783922},"labels":[],"label_agreement":null},{"id":"W4390274368","doi":"10.1038/s43588-023-00580-6","title":"Dendritic excitability controls overdispersion","year":2023,"lang":"en","type":"article","venue":"Nature Computational Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"General Dynamics (Canada); University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Interval (graph theory); Attractor; Neuronal firing; Neuroscience; Dispersion (optics); Computer science; Function (biology); Cable theory; Statistical physics; Dendrite (mathematics); Range (aeronautics); Biological system; Physics; Mathematics; Psychology; Biology; Mathematical analysis; Electrophysiology; Materials science","score_opus":0.017038512297765575,"score_gpt":0.2984889458744503,"score_spread":0.2814504335766847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390274368","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99258494,0.000011240458,0.0016231099,0.0025576435,0.0011763442,0.00018159334,0.000018778546,0.00020233732,0.0016439802],"genre_scores_gemma":[0.99774516,0.0000027146932,0.00026411758,0.0017904262,0.00007058923,0.0000058815326,0.0000071043173,0.000005140934,0.00010888241],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99813265,0.00004647066,0.00013013445,0.00051637477,0.0008824056,0.0002919612],"domain_scores_gemma":[0.99871004,0.0008862588,0.000044779797,0.00013553933,0.000121902536,0.00010151171],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000479292,0.00008683861,0.00008260549,0.00017941918,0.000526636,0.00011939536,0.00033216027,0.00006502684,0.000038982686],"category_scores_gemma":[0.0021667187,0.00007343459,0.0000477336,0.0020125029,0.0003967098,0.00039326734,0.000120890356,0.00026963578,0.00022070686],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003481415,0.000067389155,0.0017455484,0.00001412666,0.0000013226388,0.000033078188,0.00007623987,0.044282485,0.6772885,0.2701491,0.00073771644,0.0055696974],"study_design_scores_gemma":[0.0004314992,0.00007214429,0.30610853,0.000014333541,0.0000032572866,0.000040233623,0.00001978464,0.533471,0.007971962,0.1503049,0.0013401008,0.00022224776],"about_ca_topic_score_codex":0.0000026464857,"about_ca_topic_score_gemma":0.0000015849641,"teacher_disagreement_score":0.66931653,"about_ca_system_score_codex":0.00009075618,"about_ca_system_score_gemma":0.00010989113,"threshold_uncertainty_score":0.40505117},"labels":[],"label_agreement":null},{"id":"W4390297995","doi":"10.1002/jeab.897","title":"A neural autopilot theory of habit: Evidence from consumer purchases and social media use","year":2023,"lang":"en","type":"article","venue":"Journal of the Experimental Analysis of Behavior","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Booth School of Business, University of Chicago; Alfred P. Sloan Foundation; University of Chicago; National Science Foundation","keywords":"Autopilot; Counterfactual thinking; Computer science; Set (abstract data type); Process (computing); Field (mathematics); Choice set; Social media; Consumer behaviour; Habit; Exploit; Econometrics; Psychology; Economics; Social psychology","score_opus":0.1154373122322481,"score_gpt":0.3272234385327618,"score_spread":0.21178612630051372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390297995","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99907887,0.00017882149,0.0000065367585,0.00020715018,0.0003564311,0.00007158878,0.00009155405,0.0000072990033,0.000001739272],"genre_scores_gemma":[0.99974823,0.00004309958,0.00002831112,0.00007218797,0.000040905703,0.0000030216117,0.0000022170411,0.00000800574,0.000054047367],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985041,0.00024815236,0.0004824274,0.00015710479,0.0004912407,0.00011699642],"domain_scores_gemma":[0.99817675,0.00094579195,0.0006138437,0.0001542064,0.00006366871,0.000045722878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025549796,0.00010865822,0.00038045045,0.00027330592,0.000107177955,0.0000362433,0.0002903673,0.000037229653,0.000084458814],"category_scores_gemma":[0.0003929593,0.000069856804,0.0004165084,0.0006465487,0.0003299787,0.0003101714,0.00016688927,0.00013298495,9.559815e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015340856,0.00015467229,0.022671234,0.0000022741178,0.000093372015,0.000015295158,0.0010108551,0.000050170627,0.9747764,0.00010008531,0.000055926117,0.000916295],"study_design_scores_gemma":[0.0003045388,0.0001325985,0.37110105,0.000032257267,0.0013160355,0.000011594695,0.0006691466,0.0016031053,0.6246429,0.00009340264,0.00000644117,0.00008689695],"about_ca_topic_score_codex":0.0000637219,"about_ca_topic_score_gemma":0.000017090113,"teacher_disagreement_score":0.35013348,"about_ca_system_score_codex":0.000027048101,"about_ca_system_score_gemma":0.000020428051,"threshold_uncertainty_score":0.2848678},"labels":[],"label_agreement":null},{"id":"W4390428237","doi":"10.1016/j.celrep.2023.113633","title":"The neural correlates of arousal: Ventral posterolateral nucleus-global transient co-activation","year":2023,"lang":"en","type":"article","venue":"Cell Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mental Health Research Canada; University of Ottawa","funders":"","keywords":"Transient (computer programming); Nucleus; Neuroscience; Arousal; Psychology; Biology; Chemistry; Computer science","score_opus":0.01894367717743898,"score_gpt":0.2487670391576524,"score_spread":0.22982336198021341,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390428237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99602413,0.0000072612297,0.000025811405,0.0003266278,0.0015699073,0.0002200165,0.000008946573,0.000118657714,0.0016986405],"genre_scores_gemma":[0.9991923,0.000021152622,0.0000026441237,0.00014494402,0.00003824392,0.000006915125,0.000015346028,0.000013846147,0.00056463416],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987711,0.00005690137,0.00034729074,0.00028423694,0.00027341893,0.00026706286],"domain_scores_gemma":[0.9993349,0.00011610348,0.00022765715,0.00023903615,0.000027622418,0.000054681357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015768052,0.00010998544,0.00011155297,0.000030345756,0.00018911106,0.000058607147,0.000094508774,0.000047265195,0.000010239231],"category_scores_gemma":[0.00009421649,0.00007925773,0.00009111106,0.00029688256,0.00008497448,0.00012955957,0.000028210425,0.000105894775,0.000016768865],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010637592,0.00006003802,0.013218134,0.000023527407,0.000004077187,0.00039364706,0.00015866676,0.0019669258,0.9789319,0.00014649995,0.0014529416,0.0035372877],"study_design_scores_gemma":[0.00056509447,0.00053189124,0.2575114,0.000042649575,0.00002926156,0.00076345203,0.00010573574,0.055659395,0.6727605,0.0028537933,0.008802793,0.0003740521],"about_ca_topic_score_codex":0.000017031907,"about_ca_topic_score_gemma":0.0000024129588,"teacher_disagreement_score":0.3061714,"about_ca_system_score_codex":0.00003378212,"about_ca_system_score_gemma":0.000021139707,"threshold_uncertainty_score":0.32320362},"labels":[],"label_agreement":null},{"id":"W4390428303","doi":"10.1016/j.celrep.2023.113620","title":"Brain-state-dependent constraints on claustrocortical communication and function","year":2023,"lang":"en","type":"article","venue":"Cell Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Women and Children’s Health Research Institute","funders":"","keywords":"Claustrum; Neuroscience; Non-rapid eye movement sleep; Memory consolidation; Vigilance (psychology); Retrosplenial cortex; Arousal; Wakefulness; Sleep spindle; Biology; Psychology; Cortex (anatomy); Eye movement; Electroencephalography; Hippocampus","score_opus":0.02941531996034972,"score_gpt":0.26091542352589214,"score_spread":0.23150010356554243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390428303","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9835781,0.0000062048607,0.00019138886,0.00090655,0.00049573154,0.00023215564,0.0000031672193,0.0002097668,0.014376978],"genre_scores_gemma":[0.9942452,0.000052686064,0.0000101013275,0.00096540136,0.000025510855,0.000016939463,0.000015900738,0.00001573793,0.004652571],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99881804,0.00008022135,0.00025606464,0.00039054317,0.000251619,0.00020352591],"domain_scores_gemma":[0.9991032,0.00029286422,0.00013058279,0.00035708377,0.000023897883,0.00009236117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002695804,0.00010642012,0.000098783545,0.00009129554,0.00018690091,0.00006935461,0.000055446988,0.00005533729,0.00008060995],"category_scores_gemma":[0.0003154275,0.00009732945,0.000033034627,0.00020349794,0.00015039774,0.00009360177,0.00007702256,0.00018898347,0.00011919549],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007742728,0.00010599945,0.00199635,0.000028078854,0.0000038210283,0.0006965724,0.00008929687,0.00030963882,0.9484578,0.0021935496,0.006863723,0.03917775],"study_design_scores_gemma":[0.0017087989,0.0013696563,0.12520202,0.000120247314,0.00006288543,0.0017694458,0.00031274557,0.015358614,0.76581323,0.036669403,0.05049868,0.0011142598],"about_ca_topic_score_codex":0.000006056813,"about_ca_topic_score_gemma":0.0000041304447,"teacher_disagreement_score":0.18264455,"about_ca_system_score_codex":0.00002817258,"about_ca_system_score_gemma":0.000022235703,"threshold_uncertainty_score":0.39689797},"labels":[],"label_agreement":null},{"id":"W4390442404","doi":"10.1101/2023.12.30.573666","title":"Principles of visual cortex excitatory microcircuit organization","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; International Brain Research Organization; Canada First Research Excellence Fund; Universities Space Research Association; Canadian Institutes of Health Research; McGill University Health Centre; McGill University","keywords":"Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Neuroscience; Synapse; Optogenetics; Visual cortex; Barrel cortex; Synaptic plasticity; Chemistry; Biophysics; Biology; Sensory system; Receptor","score_opus":0.0317611128278877,"score_gpt":0.23853719015238464,"score_spread":0.20677607732449693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390442404","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99388516,0.00005613572,0.0016838068,0.00011981281,0.0026151822,0.00063857844,0.00025753482,0.00072850805,0.00001530096],"genre_scores_gemma":[0.9986688,0.00023690976,0.00023272408,0.00023876959,0.0002923358,0.00004715165,9.03522e-7,0.00022149738,0.00006090161],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968241,0.00017704579,0.00073626195,0.0012303543,0.00056121853,0.0004710337],"domain_scores_gemma":[0.9974813,0.00019920398,0.0007840993,0.0008609024,0.00049408677,0.0001804394],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00039939725,0.00047817273,0.00052178424,0.00040169072,0.00019382838,0.00016152798,0.0006338921,0.00045543676,0.000049446742],"category_scores_gemma":[0.0013914414,0.00052795804,0.00014102596,0.0011980255,0.00019629083,0.00017426978,0.0006846309,0.0006124204,0.00018497837],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001070601,0.0001273492,0.0046395487,0.000351979,0.000031181095,0.000038724265,0.000007984144,0.00014010599,0.9914522,0.0031084449,0.00009055425,0.0000012298806],"study_design_scores_gemma":[0.00026205502,0.00006531469,0.1515736,0.0002280678,0.00006442991,2.8752973e-8,0.0000021198011,0.0016284185,0.8444861,0.0000067173546,0.0011272922,0.0005558384],"about_ca_topic_score_codex":0.000025249841,"about_ca_topic_score_gemma":0.0000018710056,"teacher_disagreement_score":0.14696607,"about_ca_system_score_codex":0.00021587954,"about_ca_system_score_gemma":0.00048368683,"threshold_uncertainty_score":0.9997172},"labels":[],"label_agreement":null},{"id":"W4390581266","doi":"10.7554/elife.85442","title":"Cell type-specific connectome predicts distributed working memory activity in the mouse brain","year":2023,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; National Institutes of Health; University of Bristol; Biotechnology and Biological Sciences Research Council; York University; Office of Naval Research; Simons Foundation","keywords":"Connectomics; Connectome; Neuroscience; Working memory; Cognition; Interneuron; Computer science; Psychology; Functional connectivity; Inhibitory postsynaptic potential","score_opus":0.05647713941483706,"score_gpt":0.2597859842935108,"score_spread":0.20330884487867373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390581266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99567306,0.00001571711,0.00006875699,0.0021101504,0.0005419899,0.00022790696,0.000042067903,0.00017769373,0.0011426425],"genre_scores_gemma":[0.9974664,0.00006711113,0.0000025633442,0.0012877559,0.00013000699,0.000012549641,0.00002959098,0.000014922435,0.0009891125],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987394,0.0002144862,0.0001235222,0.00030898038,0.00033277884,0.00028083962],"domain_scores_gemma":[0.9989205,0.0006960617,0.000055435557,0.0002711924,0.000014248688,0.00004257223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043294937,0.0001056526,0.00010259522,0.00008595565,0.00014383232,0.000077678065,0.00021442668,0.000051830313,0.000024392626],"category_scores_gemma":[0.0004287668,0.00007852705,0.00003848328,0.0011169353,0.00004898792,0.00009676538,0.000076250355,0.00025670978,0.00023203867],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007873989,0.00009753467,0.0006633567,0.000010413958,0.0000012983443,0.000103969614,0.00039460385,0.00094548904,0.9512499,0.0006259737,0.044417366,0.0014113794],"study_design_scores_gemma":[0.0022008708,0.0003612044,0.11563727,0.000052565134,0.0000089475,0.000035830457,0.00056491786,0.053056337,0.6872823,0.0005662285,0.13947727,0.00075624976],"about_ca_topic_score_codex":0.000012379673,"about_ca_topic_score_gemma":0.000016363978,"teacher_disagreement_score":0.26396757,"about_ca_system_score_codex":0.000037441416,"about_ca_system_score_gemma":0.000018744107,"threshold_uncertainty_score":0.32022402},"labels":[],"label_agreement":null},{"id":"W4390583208","doi":"10.1007/s11357-023-01057-0","title":"Modulation of movement-related oscillatory signatures by cognitive interference in healthy aging","year":2024,"lang":"en","type":"article","venue":"GeroScience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; National Institute of General Medical Sciences; National Institute on Drug Abuse; National Institute on Aging; National Institutes of Health","keywords":"Interference (communication); Modulation (music); Movement (music); Cognition; Psychology; Neuroscience; Cognitive psychology; Communication; Physics; Computer science; Telecommunications; Acoustics; Channel (broadcasting)","score_opus":0.021263622253401147,"score_gpt":0.27830031113392234,"score_spread":0.25703668888052117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390583208","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946309,0.00020858888,0.0030052909,0.00031944853,0.0009215634,0.00020739064,0.000034078967,0.00007248591,0.0006002839],"genre_scores_gemma":[0.99879664,0.000055169166,0.000015187647,0.0007993452,0.000010402907,0.000008901057,0.0000029958203,0.000008855431,0.0003024973],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985962,0.000080596874,0.00026893555,0.00052516616,0.0002786589,0.00025046352],"domain_scores_gemma":[0.99949455,0.00025202645,0.000074453805,0.0001030339,0.000025010298,0.000050903243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029215927,0.000109485154,0.0001137478,0.00021014725,0.000079198115,0.00006918288,0.00017425402,0.00005180739,0.000027292921],"category_scores_gemma":[0.00023550876,0.00009805298,0.00003358153,0.0009706475,0.00020407962,0.00038855898,0.000070392125,0.00021771895,0.000013242449],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018328497,0.000030912164,0.0004457592,0.000027931286,6.670235e-7,0.000005369728,0.0002622715,0.00041684168,0.9899648,0.002405498,0.00006141568,0.006360223],"study_design_scores_gemma":[0.0005023249,0.0006055219,0.011718598,0.00054186396,0.0000059982426,0.0000065735135,0.00015590352,0.59913075,0.37964052,0.007195655,0.00013712312,0.00035916542],"about_ca_topic_score_codex":0.0000427557,"about_ca_topic_score_gemma":0.000010120849,"teacher_disagreement_score":0.61032426,"about_ca_system_score_codex":0.00006581244,"about_ca_system_score_gemma":0.000055842156,"threshold_uncertainty_score":0.39984846},"labels":[],"label_agreement":null},{"id":"W4390649618","doi":"10.1101/2024.01.04.573933","title":"The neurodevelopmental trajectory of beta band oscillations: an OPM-MEG study","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children","funders":"Engineering and Physical Sciences Research Council; National Institutes of Health","keywords":"Magnetoencephalography; Neuroscience; Somatosensory system; Electrophysiology; Brain activity and meditation; Psychology; Electroencephalography; Sensory system; Cognition; Neuroimaging; Stimulus (psychology); Computer science; Cognitive psychology","score_opus":0.025926314688872867,"score_gpt":0.24376792023184332,"score_spread":0.21784160554297044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390649618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938973,0.00025965355,0.000029173505,0.0002256917,0.003847953,0.0012037911,0.00020440259,0.00030107514,0.00003093998],"genre_scores_gemma":[0.9990796,0.00014504099,0.00009976488,0.00013630808,0.0002584877,0.00014532634,1.946279e-7,0.00011121333,0.000024075789],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99658173,0.00038046378,0.0006765315,0.0012730318,0.0006605283,0.00042772162],"domain_scores_gemma":[0.9978238,0.00026145545,0.00035167605,0.0012134487,0.00018025,0.00016940408],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00072404183,0.00047410335,0.00040416236,0.00025381375,0.00045912561,0.00045357106,0.00081879215,0.00020238491,0.000015746835],"category_scores_gemma":[0.00030913763,0.00038251485,0.00014763794,0.0006866506,0.00021692405,0.0001631459,0.0006518249,0.00091308873,0.000035634555],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003561281,0.00028806966,0.0037282228,0.00012417081,0.000047099988,0.0000472638,0.000038062066,0.00017523697,0.99455726,0.00081602955,0.00013147295,0.000011493513],"study_design_scores_gemma":[0.00073304283,0.0005213262,0.47826204,0.00025299957,0.00022578031,1.1694118e-7,0.000038488037,0.00404646,0.5114155,0.000039565064,0.0032329692,0.0012317304],"about_ca_topic_score_codex":0.000035989837,"about_ca_topic_score_gemma":0.000016665628,"teacher_disagreement_score":0.4831418,"about_ca_system_score_codex":0.00015168171,"about_ca_system_score_gemma":0.0004810573,"threshold_uncertainty_score":0.9998627},"labels":[],"label_agreement":null},{"id":"W4390660994","doi":"10.1101/2024.01.05.574379","title":"Interpretable deep learning for deconvolutional analysis of neural signals","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Multidisciplinary University Research Initiative; Office of Defense Programs; National Institutes of Health; Engineering and Physical Sciences Research Council; Army Research Office; National Alliance for Research on Schizophrenia and Depression; U.S. Department of Defense","keywords":"Artificial intelligence; Computer science; Artificial neural network; Salience (neuroscience); Deep learning; Machine learning; Pattern recognition (psychology)","score_opus":0.019291416022569025,"score_gpt":0.2440759163866567,"score_spread":0.22478450036408767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390660994","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98385614,0.0005434952,0.012143754,0.00016463634,0.0019138475,0.00062475126,0.00043011812,0.0003038685,0.000019388443],"genre_scores_gemma":[0.9986079,0.000069260925,0.000610864,0.00020836918,0.00019484901,0.00018515353,0.0000011358878,0.00008543396,0.0000370614],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99713266,0.00015738151,0.00064920075,0.001198819,0.00039186978,0.00047008594],"domain_scores_gemma":[0.99802613,0.00047248218,0.00047421438,0.0005673883,0.00031053738,0.00014926925],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005083135,0.00042096726,0.000741503,0.0008731419,0.00016504807,0.00023082008,0.00048754772,0.00030985507,0.000106313804],"category_scores_gemma":[0.0009078404,0.0004297438,0.0006180907,0.001420092,0.00012907437,0.00012387673,0.00060961477,0.00079673744,0.000018687766],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052223844,0.000060855105,0.0010620045,0.0003069428,0.00038631298,0.000011095835,0.000006888781,0.03377174,0.96206623,0.002217784,0.000050421113,0.000007474128],"study_design_scores_gemma":[0.00016499331,0.00008690002,0.0064758216,0.0001309171,0.0011303853,1.3046178e-8,0.0000013991544,0.72743315,0.26344088,0.000043433403,0.0006368905,0.00045522166],"about_ca_topic_score_codex":0.000022032878,"about_ca_topic_score_gemma":0.0000039288766,"teacher_disagreement_score":0.6986254,"about_ca_system_score_codex":0.000175095,"about_ca_system_score_gemma":0.00018668726,"threshold_uncertainty_score":0.99981546},"labels":[],"label_agreement":null},{"id":"W4390666253","doi":"10.1093/cercor/bhad522","title":"GABAergic inhibition shapes behavior and neural dynamics in human visual working memory","year":2024,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Université de Lyon; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Agence Nationale de la Recherche","keywords":"Working memory; Neuroscience; Functional magnetic resonance imaging; Psychology; Cognition; gamma-Aminobutyric acid; GABAA receptor; Magnetoencephalography; GABAergic; Inhibitory postsynaptic potential; Electroencephalography; Medicine; Receptor; Internal medicine","score_opus":0.025774251845619114,"score_gpt":0.2808727952838307,"score_spread":0.2550985434382116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390666253","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99732774,0.000069659,0.00003410245,0.00021512006,0.00061368116,0.0002447506,0.000009735134,0.00017901757,0.0013062023],"genre_scores_gemma":[0.99883187,0.000013343052,0.000008324646,0.00032492017,0.00012920328,0.000025813402,0.000023985103,0.000031163792,0.0006113822],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986781,0.0000643299,0.00024076077,0.000539628,0.00019221916,0.00028497662],"domain_scores_gemma":[0.99971586,0.00007644192,0.00004084106,0.00008487123,0.000009599457,0.00007239845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009852875,0.00017355944,0.0001450283,0.00021023041,0.00015646752,0.00024905067,0.00007566263,0.00008320174,0.00007436819],"category_scores_gemma":[0.00002890933,0.00016401702,0.000057911653,0.00038387778,0.00010133967,0.00032635027,0.000103152764,0.00033731584,0.000014625773],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035777346,0.0001334555,0.013704556,0.00009595666,0.0000033608512,0.00078737194,0.00016595071,0.000052382013,0.898273,0.022085333,0.00008778935,0.06457508],"study_design_scores_gemma":[0.0006748252,0.00039159032,0.12401038,0.00022979816,0.000041090716,0.00032940984,0.00021164345,0.8592701,0.011223623,0.0029261892,0.00009685323,0.00059449027],"about_ca_topic_score_codex":0.000046171557,"about_ca_topic_score_gemma":0.00033741866,"teacher_disagreement_score":0.8870494,"about_ca_system_score_codex":0.00013446371,"about_ca_system_score_gemma":0.000015180034,"threshold_uncertainty_score":0.66884196},"labels":[],"label_agreement":null},{"id":"W4390699255","doi":"10.1111/cogs.13400","title":"Scientists Invent New Hypotheses, Do Brains?","year":2024,"lang":"en","type":"article","venue":"Cognitive Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Azrieli Foundation","keywords":"Categorization; Bayes' theorem; Bayesian probability; Inference; Cognition; Computer science; Bayesian inference; Artificial intelligence; Machine learning; Bayes factor; Contrast (vision); Bayesian statistics; Cognitive architecture; Cognitive science; Psychology","score_opus":0.06301624435979318,"score_gpt":0.317019674460645,"score_spread":0.2540034301008518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390699255","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92530257,0.0003194926,0.0067665456,0.0014697963,0.004985444,0.00048669864,0.000049175924,0.00039398306,0.06022629],"genre_scores_gemma":[0.9920895,0.000025136509,0.000052404077,0.0015108098,0.00015739913,0.000008383174,0.000001075736,0.0000138409205,0.0061414526],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99761605,0.000046532095,0.00015238007,0.0009787801,0.00074683584,0.000459396],"domain_scores_gemma":[0.99903584,0.0004001714,0.0000358769,0.0001780267,0.00008689786,0.00026318795],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00052434567,0.00014335428,0.000095421325,0.0003581091,0.0004608621,0.0010317328,0.00044961926,0.000028683144,0.00022543735],"category_scores_gemma":[0.0025179805,0.00011749348,0.00006384401,0.002653484,0.0012426109,0.0009224129,0.00021649832,0.00018338926,0.0010004324],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009612033,0.000032544103,0.00009707409,0.000015347183,0.0000013978145,0.000104343264,0.00023250065,0.000005635952,0.74009454,0.0499245,0.0014897225,0.20799278],"study_design_scores_gemma":[0.0006336302,0.00046164848,0.013577106,0.00077015726,0.000033210752,0.0003915646,0.00021538904,0.04302485,0.81160635,0.07847108,0.04985983,0.0009551645],"about_ca_topic_score_codex":0.000012048723,"about_ca_topic_score_gemma":0.0000058210644,"teacher_disagreement_score":0.20703761,"about_ca_system_score_codex":0.00008663892,"about_ca_system_score_gemma":0.00049134815,"threshold_uncertainty_score":0.9997774},"labels":[],"label_agreement":null},{"id":"W4390700285","doi":"10.1101/2024.01.09.572970","title":"Do Topographic Deep ANN Models of the Primate Ventral Stream Predict the Perceptual Effects of Direct IT Cortical Interventions?","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Primate; Perception; Neuroscience; Psychological intervention; Computer science; Artificial intelligence; Psychology; Cognitive psychology","score_opus":0.021849602342626222,"score_gpt":0.24609554434852385,"score_spread":0.22424594200589762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390700285","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943439,0.00067361706,0.00035881053,0.00032086618,0.0027476612,0.0011189791,0.00026453263,0.00013969216,0.000031982796],"genre_scores_gemma":[0.99920547,0.00027645816,0.00006033819,0.00012565352,0.00012709781,0.0001309466,1.5607957e-7,0.000065410015,0.0000084678595],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9970649,0.00047782258,0.0006710288,0.0008017403,0.00058926316,0.00039526774],"domain_scores_gemma":[0.997745,0.00038415086,0.0004240937,0.0011738624,0.00016612739,0.00010679462],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004967011,0.0003878545,0.00047290855,0.00017822033,0.0001795935,0.00014824602,0.0008803863,0.00025346945,0.000018946539],"category_scores_gemma":[0.00062687224,0.00025262192,0.0006801623,0.0007288935,0.0005349264,0.00010063489,0.0010745097,0.0010181788,0.0000064878404],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064215084,0.00044042044,0.0014070136,0.003073543,0.00015232062,0.000028198829,0.000073115145,0.0016826337,0.9839635,0.008916103,0.00018515943,0.000013814026],"study_design_scores_gemma":[0.0006269404,0.00046456954,0.08471078,0.0049430323,0.0009410053,2.1566552e-7,0.000016681986,0.06534416,0.8416784,0.0003629699,0.00014260646,0.00076866796],"about_ca_topic_score_codex":0.00002258135,"about_ca_topic_score_gemma":0.000003959227,"teacher_disagreement_score":0.1422851,"about_ca_system_score_codex":0.00008639803,"about_ca_system_score_gemma":0.0001765447,"threshold_uncertainty_score":0.9999926},"labels":[],"label_agreement":null},{"id":"W4390700568","doi":"10.1101/2024.01.08.574696","title":"HUB-DT: A tool for unsupervised behavioural discovery and analysis","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Computer science; Pipeline (software); Function (biology); Artificial intelligence; Measure (data warehouse); Range (aeronautics); Machine learning; Task (project management); Granularity; Data mining; Engineering","score_opus":0.02487159834154159,"score_gpt":0.23692929178133937,"score_spread":0.21205769343979777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390700568","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99244916,0.00028046936,0.0020149709,0.0004592121,0.0016762782,0.0010002351,0.0017576269,0.00035799487,0.0000040705104],"genre_scores_gemma":[0.99780643,0.00014112721,0.00082681514,0.0004321393,0.00025492435,0.0003620349,0.0000013525473,0.000115567535,0.00005962392],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968992,0.000103114726,0.00049055665,0.0016231786,0.0003653569,0.0005186275],"domain_scores_gemma":[0.99838537,0.00020146635,0.00021567906,0.00089121924,0.00013736296,0.00016887624],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00035610728,0.0005405824,0.0006125902,0.00054162875,0.00022564441,0.0010715161,0.00040168175,0.0003599774,0.000015986729],"category_scores_gemma":[0.00033952616,0.0005153538,0.0004288413,0.0010234483,0.00013691657,0.00025354262,0.00076725706,0.00065052015,0.000017372176],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005642631,0.000087026994,0.008033836,0.000559229,0.0001626878,0.000058326274,0.000006803774,0.00008475032,0.9872207,0.003598566,0.00012559089,0.000006033744],"study_design_scores_gemma":[0.0014842969,0.00032713232,0.27556407,0.00058351574,0.005721293,9.682725e-8,0.000004171699,0.05786862,0.65332186,0.00026029674,0.0016412451,0.003223364],"about_ca_topic_score_codex":0.000040539362,"about_ca_topic_score_gemma":0.0000050739127,"teacher_disagreement_score":0.33389884,"about_ca_system_score_codex":0.00015394931,"about_ca_system_score_gemma":0.00019997254,"threshold_uncertainty_score":0.9999655},"labels":[],"label_agreement":null},{"id":"W4390729136","doi":"10.1016/j.tics.2023.11.005","title":"Information decomposition and the informational architecture of the brain","year":2024,"lang":"en","type":"review","venue":"Trends in Cognitive Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":130,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"NIHR Cambridge Biomedical Research Centre; Fonds de recherche du Québec – Nature et technologies; Royal College of Anaesthetists; National Institute for Health and Care Research; McGill University; UCLH Biomedical Research Centre; Canadian Institute for Advanced Research","keywords":"Cognition; Cognitive science; Redundancy (engineering); Information processing; Psychology; Cognitive architecture; Neuroscience; Architecture; Information theory; Computer science; Cognitive psychology","score_opus":0.10219559731142074,"score_gpt":0.4069999340572984,"score_spread":0.30480433674587765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390729136","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021260234,0.93407506,0.0002435583,0.0064388704,0.0022733891,0.0019223866,0.00081065466,0.000074181145,0.052035894],"genre_scores_gemma":[0.028992778,0.9687745,0.000023806308,0.0015454319,0.000080066464,0.00012348504,0.000058347512,0.000009666278,0.00039191198],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99863976,0.00027853908,0.00040726634,0.00016270361,0.00038087016,0.00013088065],"domain_scores_gemma":[0.99817675,0.0014038183,0.0002974505,0.00008126048,0.000024790002,0.000015954838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006956133,0.00015967186,0.00029823865,0.00045393445,0.00021825543,0.00016533831,0.0003067524,0.00006445498,0.000018008428],"category_scores_gemma":[0.0005776267,0.000066581306,0.00015535911,0.0017315185,0.0012571414,0.00039833796,0.0001709275,0.00033895616,0.00000917663],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000075547855,0.0000043523883,9.893992e-7,0.00041278324,0.0000033049564,1.9674043e-7,0.00038561047,0.0000101993255,0.0000016808102,0.010153454,0.0000959768,0.9889239],"study_design_scores_gemma":[0.0026131903,0.00046663263,0.0006303923,0.03343605,0.0009824005,0.00079126214,0.00093153067,0.016650926,0.0001940938,0.05482216,0.8872206,0.0012607272],"about_ca_topic_score_codex":0.0000087243225,"about_ca_topic_score_gemma":0.000017785549,"teacher_disagreement_score":0.98766315,"about_ca_system_score_codex":0.000020826186,"about_ca_system_score_gemma":0.00008703335,"threshold_uncertainty_score":0.463199},"labels":[],"label_agreement":null},{"id":"W4390734685","doi":"10.1073/pnas.2220532121","title":"Cortical <i>miR-709</i> links glutamatergic signaling to NREM sleep EEG slow waves in an activity-dependent manner","year":2024,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Canadian Sleep & Circadian Network; Université de Montréal; Université Laval; Hôpital du Sacré-Cœur de Montréal; Centre hospitalier universitaire de Québec","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Non-rapid eye movement sleep; Glutamatergic; Neuroscience; Electroencephalography; Sleep (system call); Psychology; Medicine; Computer science; Internal medicine; Glutamate receptor; Receptor","score_opus":0.04731794870854663,"score_gpt":0.3109040829903259,"score_spread":0.2635861342817793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390734685","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99212015,0.000016816492,0.0000059904905,0.006081065,0.00012510181,0.00021224906,0.00001505215,0.000032248456,0.0013913295],"genre_scores_gemma":[0.9985624,0.000009814057,0.00018735872,0.00094113435,0.00007908648,0.000012248366,7.6567986e-8,0.000007822405,0.00020008099],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99763596,0.000021648895,0.00030735345,0.0005079142,0.0012891266,0.00023796728],"domain_scores_gemma":[0.9994556,0.00025699942,0.00012433254,0.000011868677,0.0000819651,0.00006924746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011828548,0.00012365151,0.00015000331,0.00030255568,0.00019039046,0.00015651585,0.0006965035,0.00011840754,0.000011719128],"category_scores_gemma":[0.00044349852,0.00008278859,0.00006648618,0.0011631487,0.0003483389,0.0009659054,0.0001823009,0.0004789164,0.000006466387],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027600281,0.00005339688,0.00039507146,0.000050206756,0.0000017992351,1.4202703e-7,0.00015661056,0.001522248,0.9701847,0.02648132,0.000050628347,0.0010762672],"study_design_scores_gemma":[0.00008505585,0.00012714327,0.01009975,0.00013719247,0.0000064970504,0.000017730665,0.0000619659,0.084941395,0.8831931,0.02107378,0.00013293317,0.00012348934],"about_ca_topic_score_codex":0.00000495118,"about_ca_topic_score_gemma":3.140233e-7,"teacher_disagreement_score":0.086991645,"about_ca_system_score_codex":0.000057723963,"about_ca_system_score_gemma":0.000025324458,"threshold_uncertainty_score":0.33760205},"labels":[],"label_agreement":null},{"id":"W4390751937","doi":"10.7554/elife.87356.2.sa2","title":"eLife Assessment: A dynamical computational model of theta generation in hippocampal circuits to study theta-gamma oscillations during neurostimulation","year":2024,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Hippocampal formation; Neurostimulation; Neuroscience; Theta rhythm; Reset (finance); Physics; Amplitude; Stimulation; Psychology; Quantum mechanics","score_opus":0.10300883557613588,"score_gpt":0.3595945303348308,"score_spread":0.2565856947586949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390751937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9278306,0.00022808247,0.03046547,0.024607046,0.0039926283,0.0072236494,0.0016359356,0.00030202614,0.003714602],"genre_scores_gemma":[0.9831944,0.000090866706,0.0003259869,0.0014263703,0.00015688087,0.00015698328,0.000706071,0.000072814226,0.013869609],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99563426,0.00039049223,0.0011387853,0.0011928568,0.0013184852,0.00032510585],"domain_scores_gemma":[0.9986066,0.0002859444,0.00029969207,0.00045402357,0.00023453358,0.00011920853],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00052146893,0.00044383845,0.00065845443,0.00062669034,0.00017454369,0.00015060081,0.00033001334,0.00016520213,0.00009867956],"category_scores_gemma":[0.00040373811,0.0003943212,0.00021315683,0.0010087953,0.000041948886,0.00021907175,0.00024588115,0.000612033,0.00003862183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000106787365,0.00039580677,0.00011676147,0.0004042403,0.000017970737,0.0000138139185,0.00010653223,0.9716686,0.0203569,0.001829967,0.0039018074,0.0011769289],"study_design_scores_gemma":[0.00040658732,0.00016635563,0.002988258,0.00028096722,0.00010800851,0.000012895039,0.000007259014,0.99326295,0.00009446714,0.002078865,0.00024161869,0.00035179197],"about_ca_topic_score_codex":0.000040866013,"about_ca_topic_score_gemma":0.00017104663,"teacher_disagreement_score":0.05536386,"about_ca_system_score_codex":0.00025225332,"about_ca_system_score_gemma":0.00024750014,"threshold_uncertainty_score":0.99985087},"labels":[],"label_agreement":null},{"id":"W4390770048","doi":"10.21203/rs.3.rs-3830199/v1","title":"Horizontal cortical connections shape intrinsic traveling waves into feature-selective motifs that regulate perceptual sensitivity","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Eye Institute; Canada First Research Excellence Fund; Fondation pour la Recherche Médicale; Canadian Institutes of Health Research; Alliance de recherche numérique du Canada; George E. Hewitt Foundation for Medical Research; National Alliance for Research on Schizophrenia and Depression; Research to Prevent Blindness; National Institutes of Health; National Science Foundation","keywords":"Perception; Sensitivity (control systems); Traveling wave; Feature (linguistics); Neuroscience; Psychology; Communication; Pattern recognition (psychology); Computer science; Artificial intelligence; Physics; Mathematics; Engineering; Electronic engineering; Philosophy; Mathematical analysis","score_opus":0.07408473033805345,"score_gpt":0.3576558249616909,"score_spread":0.28357109462363744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390770048","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901829,0.00015124903,0.00028985637,0.0038039463,0.0020020464,0.001455069,0.00025984534,0.00039616323,0.0014589259],"genre_scores_gemma":[0.9969683,0.000229188,0.00010844473,0.00009120765,0.0008731752,0.00012203582,0.00009144368,0.00011106082,0.0014051389],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99277097,0.0020251507,0.00034567167,0.002034711,0.0017419079,0.0010816113],"domain_scores_gemma":[0.9961126,0.002265294,0.00009115009,0.0006999997,0.00044884585,0.0003821042],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0016978754,0.0005228872,0.00055759447,0.00063615054,0.0010935287,0.00082516624,0.00037367537,0.0006705454,0.00011769843],"category_scores_gemma":[0.003166361,0.00046760275,0.0004101674,0.0010556307,0.0007441629,0.00017402093,0.0022861261,0.0073899,0.00030107237],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071619527,0.00052117236,0.0005274133,0.0016276243,0.0001471339,0.0019515373,0.005179607,0.00097119785,0.9194034,0.018564865,0.004521255,0.04586862],"study_design_scores_gemma":[0.0011170143,0.0025234967,0.068360254,0.0026088236,0.00020032053,0.001035167,0.0054222657,0.66859865,0.16858356,0.0770358,0.002018841,0.0024957808],"about_ca_topic_score_codex":0.00043764053,"about_ca_topic_score_gemma":0.00057256734,"teacher_disagreement_score":0.7508198,"about_ca_system_score_codex":0.0009513043,"about_ca_system_score_gemma":0.00052398123,"threshold_uncertainty_score":0.99977756},"labels":[],"label_agreement":null},{"id":"W4390822672","doi":"10.1101/2024.01.10.575061","title":"Criticality and universality in neuronal cultures during ‘up’ and ‘down’ states","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Neuroscience; Universality (dynamical systems); Statistical physics; Hippocampal formation; Physics; Premovement neuronal activity; Criticality; Calcium imaging; Multifractal system; Phase transition; Biology; Mathematics; Calcium; Quantum mechanics; Chemistry","score_opus":0.014772237751438724,"score_gpt":0.2362072468181327,"score_spread":0.221435009066694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390822672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968932,0.00028876163,0.000017646968,0.0009891584,0.0009420917,0.00034064098,0.00029446845,0.00022333502,0.00001065766],"genre_scores_gemma":[0.99895,0.00046143375,0.000074899806,0.00031236283,0.00011238858,0.000025218886,1.4251735e-7,0.000049370206,0.000014171752],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9975261,0.00020911852,0.0003280024,0.0012601827,0.0002701229,0.0004064625],"domain_scores_gemma":[0.9990685,0.00015065393,0.000090828464,0.00041002923,0.00007433766,0.00020567988],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002923244,0.00037773006,0.0003417914,0.000195697,0.00014839352,0.00046893815,0.000202574,0.00024479767,0.000011043778],"category_scores_gemma":[0.00037720587,0.00036993934,0.000056868914,0.00031547365,0.00028924632,0.00015416853,0.0009898957,0.00099047,0.000007951069],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000451,0.000050420927,0.0041078627,0.0008559709,0.000010187082,0.0001735721,0.000019231615,0.000025963302,0.9875643,0.007107942,0.000037604364,0.0000018042846],"study_design_scores_gemma":[0.0007271615,0.000068572044,0.64656645,0.0005358904,0.000080124635,2.5879237e-7,0.000012028578,0.0066692755,0.34288505,0.0005234869,0.0008867371,0.0010450056],"about_ca_topic_score_codex":0.00011951211,"about_ca_topic_score_gemma":0.0000098989185,"teacher_disagreement_score":0.6446793,"about_ca_system_score_codex":0.00012539419,"about_ca_system_score_gemma":0.00010603115,"threshold_uncertainty_score":0.99987525},"labels":[],"label_agreement":null},{"id":"W4390827379","doi":"10.1101/2024.01.10.574378","title":"Neural Ensembles in the Lateral Prefrontal Cortex Temporally Multiplex Task Features During Virtual Navigation","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa; London Health Sciences Centre; Western University","funders":"","keywords":"Neuroscience; Computer science; Prefrontal cortex; Task (project management); Sensory system; Encoding (memory); Psychology; Cognition","score_opus":0.013349953757802981,"score_gpt":0.22350924627976035,"score_spread":0.21015929252195736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390827379","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946096,0.00020103878,0.0000122365045,0.000550531,0.002784262,0.001091116,0.00032952725,0.00040970554,0.000012018469],"genre_scores_gemma":[0.998496,0.000051230225,0.00007418312,0.00045125932,0.00056083046,0.00020245662,0.0000019659979,0.00012439086,0.000037682436],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9962442,0.0003866531,0.0006053443,0.0014562411,0.00067639584,0.00063116616],"domain_scores_gemma":[0.9984072,0.0001610355,0.00031496343,0.00089282735,0.00009333926,0.00013066568],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042206125,0.00064722577,0.0004320308,0.00030769306,0.0002837558,0.0007941149,0.0008315943,0.0004377608,0.000010019343],"category_scores_gemma":[0.00022949568,0.0005218491,0.00021229537,0.0006012391,0.00016165977,0.0002728126,0.000740996,0.0018970879,0.000057344394],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008928489,0.00009594957,0.0017615589,0.00024773393,0.000016217342,0.00051964156,0.00007047245,0.00046873695,0.9959711,0.00065768335,0.00009767268,0.0000039881243],"study_design_scores_gemma":[0.0008488236,0.0001704402,0.7128576,0.0007236832,0.000077081335,0.0000013150122,0.000015129532,0.015855556,0.26790884,0.000040638093,0.00031880464,0.0011820998],"about_ca_topic_score_codex":0.00020059035,"about_ca_topic_score_gemma":0.000045984383,"teacher_disagreement_score":0.7280622,"about_ca_system_score_codex":0.0002606426,"about_ca_system_score_gemma":0.00018450012,"threshold_uncertainty_score":0.9997233},"labels":[],"label_agreement":null},{"id":"W4390913146","doi":"10.1038/s41380-023-02337-z","title":"Temporal imprecision of phase coherence in schizophrenia and psychosis—dynamic mechanisms and diagnostic marker","year":2024,"lang":"en","type":"review","venue":"Molecular Psychiatry","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Ottawa","funders":"","keywords":"Psychology; Coherence (philosophical gambling strategy); Neuroscience; Psychosis; Cognitive psychology; Mathematics; Psychiatry; Statistics","score_opus":0.017872831962566116,"score_gpt":0.32008121298845776,"score_spread":0.30220838102589165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390913146","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007122485,0.989226,0.0008111679,0.00008113014,0.001365024,0.0010012602,0.00009810473,0.00004995628,0.00024490056],"genre_scores_gemma":[0.009551672,0.98840165,0.0014814674,0.00010117626,0.00002187573,0.0000964221,0.000019005345,0.0001248667,0.00020186606],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99780273,0.00021754862,0.0005681695,0.00092185347,0.0002493524,0.0002403447],"domain_scores_gemma":[0.9990621,0.00019265678,0.00024783073,0.0003837659,0.0000100331645,0.00010360104],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019436261,0.00042863356,0.00080739916,0.00043159424,0.000038437993,0.00007658723,0.00021829351,0.0002180512,0.00002928678],"category_scores_gemma":[0.00017712983,0.00034679752,0.00018406533,0.0005815286,0.00009931789,0.000060569768,0.0001638316,0.00044094297,0.000023635339],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006024651,0.00026522964,0.000016558923,0.008736491,0.00003471898,0.00012449233,0.000008599868,5.938026e-7,0.0044514476,0.0066016866,0.00028181844,0.9794181],"study_design_scores_gemma":[0.017836832,0.0064264303,0.00050736225,0.20939308,0.0070479787,0.003919583,0.00007777066,0.017541813,0.0006605576,0.29983678,0.4276574,0.009094423],"about_ca_topic_score_codex":0.000012106744,"about_ca_topic_score_gemma":0.000030240586,"teacher_disagreement_score":0.9703237,"about_ca_system_score_codex":0.00002328647,"about_ca_system_score_gemma":0.00007681616,"threshold_uncertainty_score":0.9998984},"labels":[],"label_agreement":null},{"id":"W4390975871","doi":"10.1038/s41593-023-01554-7","title":"A ubiquitous spectrolaminar motif of local field potential power across the primate cortex","year":2024,"lang":"en","type":"article","venue":"Nature Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":115,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Institute of Mental Health; Office of Naval Research; National Institutes of Health; Simons Center for the Social Brain, Massachusetts Institute of Technology; Canadian Institutes of Health Research; JPB Foundation; Canada First Research Excellence Fund; National Eye Institute; Vanderbilt University","keywords":"Macaque; Neuroscience; Laminar flow; Local field potential; Laminar organization; Primate; Marmoset; Cerebral cortex; Biology; Physics","score_opus":0.006688516535209735,"score_gpt":0.2798584743515617,"score_spread":0.27316995781635195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390975871","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9774842,0.0002275686,0.008098718,0.0042411867,0.007993543,0.00033339293,0.000052989813,0.00019511573,0.0013732512],"genre_scores_gemma":[0.9937512,0.00005784061,0.00001403025,0.0053004376,0.00011014993,0.000006276611,5.9690996e-7,0.00001970639,0.00073971314],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977426,0.000088580615,0.00024280962,0.0007475839,0.0007026042,0.00047580176],"domain_scores_gemma":[0.99905753,0.00032911063,0.00008213283,0.00041756622,0.000041454226,0.00007217877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027613106,0.00019054218,0.00015590664,0.00007223567,0.00031597939,0.0002631396,0.00075722684,0.0001652634,0.000029674553],"category_scores_gemma":[0.00046367565,0.00012141086,0.00013982116,0.0009552802,0.00051488087,0.0003085463,0.000239241,0.001042992,0.000020941367],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004097762,0.000041604842,0.000012746023,0.00002390259,7.85763e-7,0.00021186013,0.000096173986,0.00017671242,0.98655915,0.008064348,0.00074451923,0.004027215],"study_design_scores_gemma":[0.0002191393,0.00109372,0.006099876,0.00005873418,0.000017249362,0.0008617633,0.000086399516,0.0830838,0.89277476,0.001988047,0.013406028,0.00031046162],"about_ca_topic_score_codex":0.000007444254,"about_ca_topic_score_gemma":0.0000045112756,"teacher_disagreement_score":0.09378437,"about_ca_system_score_codex":0.000029610008,"about_ca_system_score_gemma":0.00006623597,"threshold_uncertainty_score":0.49509913},"labels":[],"label_agreement":null},{"id":"W4390993403","doi":"10.1109/biocas58349.2023.10388799","title":"A Lightweight CNN Spike Sorting Method Enhanced by Scattering Convolution Network","year":2023,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Key Research and Development Program of China","keywords":"Computer science; Sorting; Spike sorting; Computation; Spike (software development); Convolutional neural network; Convolution (computer science); Artificial intelligence; Pattern recognition (psychology); Transmission (telecommunications); Wavelet; Reduction (mathematics); Artificial neural network; Algorithm; Telecommunications; Mathematics","score_opus":0.026922963162355585,"score_gpt":0.28537903652012886,"score_spread":0.25845607335777326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390993403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77500516,0.000015260446,0.20308422,0.0023329295,0.0020927947,0.00036342526,0.000006592014,0.0011378721,0.015961736],"genre_scores_gemma":[0.98431104,0.000035141144,0.0013842712,0.0018084389,0.00025392158,0.000028174394,0.000012778579,0.000025522573,0.012140724],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985787,0.00009994046,0.00024304085,0.00044694435,0.00020184157,0.00042949538],"domain_scores_gemma":[0.9993838,0.0002553962,0.0000998001,0.00017435341,0.000018322182,0.0000683232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033579714,0.00012924476,0.00013733616,0.000062435385,0.0002792183,0.00007665498,0.00013977416,0.000055537716,0.00013339167],"category_scores_gemma":[0.00015301301,0.00011119284,0.000063137246,0.0007317745,0.000030140398,0.00017940786,0.00010522854,0.00012839437,0.0004334714],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008768968,0.000008251512,0.00006125037,0.000008254395,0.0000017794806,0.000003013053,0.000027776847,0.00079170277,0.98052275,0.0023886536,0.008388971,0.0077888276],"study_design_scores_gemma":[0.00020974391,0.000059502476,0.00041536227,0.000023370125,0.000006816038,0.000005771315,0.000018608027,0.15505509,0.8329441,0.0032161202,0.007820017,0.00022549917],"about_ca_topic_score_codex":0.000018626684,"about_ca_topic_score_gemma":0.000006657574,"teacher_disagreement_score":0.20930587,"about_ca_system_score_codex":0.00003262033,"about_ca_system_score_gemma":0.000010220623,"threshold_uncertainty_score":0.55715424},"labels":[],"label_agreement":null},{"id":"W4391035658","doi":"10.7554/elife.92459","title":"Inter-regional delays fluctuate in the human cerebral cortex","year":2024,"lang":"en","type":"preprint","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Institute for Basic Science; Alfred P. Sloan Foundation","keywords":"Neuroscience; Latency (audio); Cerebral cortex; Lag; Local field potential; Cortex (anatomy); Coupling (piping); Human brain; Coupling strength; Physics; Psychology; Computer science; Telecommunications; Engineering","score_opus":0.05534601949924176,"score_gpt":0.3029984781914952,"score_spread":0.24765245869225347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391035658","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9869442,0.000052368032,0.00006115953,0.0047400203,0.002430194,0.00036637546,0.000050886374,0.00010405952,0.005250737],"genre_scores_gemma":[0.9914285,0.000026390722,0.00001422045,0.0061912653,0.00047004546,0.000057962785,0.000042366733,0.000030458628,0.0017388242],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981323,0.00016546795,0.0003102988,0.0006807421,0.0004490946,0.00026207994],"domain_scores_gemma":[0.9992476,0.00013288241,0.00009611697,0.00045595533,0.00002285801,0.000044574048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000285362,0.00023950746,0.00019038521,0.00015271058,0.000111529305,0.00023573569,0.0005338722,0.00014675195,0.000091265894],"category_scores_gemma":[0.00009188505,0.00016492278,0.00016230131,0.00019362388,0.00010627872,0.000040790117,0.00084138365,0.0013310696,0.00030679468],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015169755,0.0007362802,0.0024244997,0.00084554445,0.00008166095,0.0024678782,0.00650681,0.0020549002,0.457025,0.29270005,0.2223298,0.012675896],"study_design_scores_gemma":[0.0022511478,0.0008361104,0.08792832,0.0020186407,0.00024570923,0.0012401477,0.0006495682,0.21833274,0.020240432,0.50031745,0.16207506,0.0038646895],"about_ca_topic_score_codex":0.000117974705,"about_ca_topic_score_gemma":0.00015146741,"teacher_disagreement_score":0.43678457,"about_ca_system_score_codex":0.00006929115,"about_ca_system_score_gemma":0.00006039287,"threshold_uncertainty_score":0.6725356},"labels":[],"label_agreement":null},{"id":"W4391035706","doi":"10.7554/elife.92459.1","title":"Inter-regional delays fluctuate in the human cerebral cortex","year":2024,"lang":"en","type":"preprint","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Institute for Basic Science; Alfred P. Sloan Foundation","keywords":"Neuroscience; Latency (audio); Local field potential; Lag; Cerebral cortex; Cortex (anatomy); Coupling (piping); Human brain; Coupling strength; Physics; Psychology; Computer science; Telecommunications; Materials science","score_opus":0.05534601949924176,"score_gpt":0.3029984781914952,"score_spread":0.24765245869225347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391035706","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9869442,0.000052368032,0.00006115953,0.0047400203,0.002430194,0.00036637546,0.000050886374,0.00010405952,0.005250737],"genre_scores_gemma":[0.9914285,0.000026390722,0.00001422045,0.0061912653,0.00047004546,0.000057962785,0.000042366733,0.000030458628,0.0017388242],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981323,0.00016546795,0.0003102988,0.0006807421,0.0004490946,0.00026207994],"domain_scores_gemma":[0.9992476,0.00013288241,0.00009611697,0.00045595533,0.00002285801,0.000044574048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000285362,0.00023950746,0.00019038521,0.00015271058,0.000111529305,0.00023573569,0.0005338722,0.00014675195,0.000091265894],"category_scores_gemma":[0.00009188505,0.00016492278,0.00016230131,0.00019362388,0.00010627872,0.000040790117,0.00084138365,0.0013310696,0.00030679468],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015169755,0.0007362802,0.0024244997,0.00084554445,0.00008166095,0.0024678782,0.00650681,0.0020549002,0.457025,0.29270005,0.2223298,0.012675896],"study_design_scores_gemma":[0.0022511478,0.0008361104,0.08792832,0.0020186407,0.00024570923,0.0012401477,0.0006495682,0.21833274,0.020240432,0.50031745,0.16207506,0.0038646895],"about_ca_topic_score_codex":0.000117974705,"about_ca_topic_score_gemma":0.00015146741,"teacher_disagreement_score":0.43678457,"about_ca_system_score_codex":0.00006929115,"about_ca_system_score_gemma":0.00006039287,"threshold_uncertainty_score":0.6725356},"labels":[],"label_agreement":null},{"id":"W4391045485","doi":"10.15353/cjo.v49i2.4549","title":"Detection of Visual Field Defect Using Topographic Evoked Potential in Children","year":2021,"lang":"en","type":"article","venue":"Canadian journal of optometry/CJO. Canadian journal of optometry","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Latency (audio); Visual field; Computer science; Population; Code (set theory); Set (abstract data type); Neuroscience; Cognitive psychology; Psychology; Artificial intelligence; Medicine","score_opus":0.01124605503000997,"score_gpt":0.28221565132880516,"score_spread":0.2709695962987952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391045485","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938896,0.001197521,0.0015554528,0.0004030117,0.002605243,0.00014987563,0.000058064783,0.0000038296653,0.00013741665],"genre_scores_gemma":[0.9985208,0.00012679384,0.00034902772,0.00042805605,0.0004716399,5.738707e-7,0.0000024528667,0.00005339786,0.000047277186],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99602914,0.0004163692,0.001526798,0.00036004797,0.00074489124,0.00092275784],"domain_scores_gemma":[0.9951872,0.00028221012,0.0013392018,0.0002693552,0.0008679049,0.0020541248],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010615129,0.00036257476,0.000828571,0.00850012,0.00032799196,0.000281463,0.0006843592,0.00033214397,0.00036354622],"category_scores_gemma":[0.001707919,0.00037404915,0.0007750889,0.005773096,0.0002324623,0.0008183442,0.000028553943,0.0013805929,0.0000034349214],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000077542325,0.000053861768,0.89442533,0.000037749367,0.00013441112,0.0020013088,0.00008804096,0.0019351653,0.09921323,0.0000053606987,0.00009805626,0.0019299177],"study_design_scores_gemma":[0.0017522003,0.00073846406,0.89590025,0.00038508011,0.00018463953,0.012808221,0.00026454995,0.001313608,0.086035155,0.000023015757,0.00012676789,0.00046804248],"about_ca_topic_score_codex":0.00538601,"about_ca_topic_score_gemma":0.0049675326,"teacher_disagreement_score":0.0131780775,"about_ca_system_score_codex":0.0007696219,"about_ca_system_score_gemma":0.0042699105,"threshold_uncertainty_score":0.99987113},"labels":[],"label_agreement":null},{"id":"W4391065318","doi":"10.1016/j.bpsgos.2023.10.003","title":"Consideration of Research Approaches in Systems Neurobiology","year":2024,"lang":"en","type":"article","venue":"Biological Psychiatry Global Open Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Cognitive science; Psychology; Computer science","score_opus":0.3560472339869135,"score_gpt":0.4364075442349709,"score_spread":0.0803603102480574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391065318","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97270685,0.0002386755,0.00010953374,0.0024187043,0.003150643,0.0006949443,0.000033851305,0.000045429548,0.020601364],"genre_scores_gemma":[0.9993783,0.000030181514,0.00019791367,0.00024771315,0.00005808734,0.000026481954,0.0000017735213,0.000002712518,0.00005682549],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975535,0.00047248736,0.00033525887,0.0009084273,0.0003281733,0.00040215073],"domain_scores_gemma":[0.9992043,0.00035541898,0.000050247392,0.00025598533,0.000054961332,0.000079115234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024514215,0.00010336534,0.0001815031,0.00014996689,0.00019927803,0.00044475409,0.0012712256,0.00009378454,0.000016706184],"category_scores_gemma":[0.0010161591,0.00006746418,0.000033718334,0.0027744737,0.0015194141,0.00037520108,0.00064437266,0.00023403204,0.00004726977],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005667175,0.00011359066,0.014759455,0.00002635913,7.8601107e-7,0.000009575167,0.000012552462,0.00029533435,0.08330187,0.90003645,0.00044852518,0.0009388382],"study_design_scores_gemma":[0.0015513661,0.005399944,0.3424575,0.0007348061,0.000010360603,0.0007148604,0.0012943166,0.18771075,0.013198853,0.43704817,0.0085843215,0.0012947617],"about_ca_topic_score_codex":0.00013513629,"about_ca_topic_score_gemma":0.00003640518,"teacher_disagreement_score":0.46298826,"about_ca_system_score_codex":0.00009190127,"about_ca_system_score_gemma":0.00036030565,"threshold_uncertainty_score":0.5598344},"labels":[],"label_agreement":null},{"id":"W4391130466","doi":"10.1101/2024.01.23.576792","title":"Local Inhibitory Dynamics Underpin Temporal Integration and Functional Segregation between Barrels and Septa in the Mouse Barrel Cortex","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Somatosensory system; Barrel (horology); Barrel cortex; Neuroscience; Identity (music); Cortex (anatomy); Psychology; Art; History; Aesthetics","score_opus":0.020497209489068472,"score_gpt":0.2239933158662097,"score_spread":0.20349610637714124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391130466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98989093,0.00029504765,0.006277715,0.0011734895,0.0010592947,0.0007765511,0.00031621582,0.00019853943,0.000012193867],"genre_scores_gemma":[0.99879754,0.00016054425,0.00013430075,0.00043024382,0.00027563024,0.00009921023,0.0000053524623,0.000077190096,0.000019968023],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.997146,0.00032551144,0.0005257502,0.0011602251,0.0004976336,0.00034484366],"domain_scores_gemma":[0.99875265,0.0002660635,0.00023668037,0.0004985285,0.00010489696,0.00014116462],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007287387,0.0004772245,0.00036148238,0.0003653961,0.00023014734,0.0005407757,0.00023197819,0.00046838511,0.000006737439],"category_scores_gemma":[0.00023431449,0.0004014912,0.00008386475,0.0005376494,0.00033364168,0.0002503675,0.0004545817,0.0014734733,0.000015768208],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009983099,0.0001504146,0.014407964,0.00067785714,0.000057374713,0.00010305524,0.00009313595,0.00037437005,0.9499414,0.03320778,0.00061022997,0.00027657818],"study_design_scores_gemma":[0.0016053872,0.00034976736,0.524295,0.0011759894,0.00031965648,0.0000010607989,0.00012592164,0.32970855,0.13764456,0.0016757103,0.0008465161,0.002251888],"about_ca_topic_score_codex":0.000110580084,"about_ca_topic_score_gemma":0.00008111932,"teacher_disagreement_score":0.81229687,"about_ca_system_score_codex":0.000363453,"about_ca_system_score_gemma":0.0002619528,"threshold_uncertainty_score":0.9998437},"labels":[],"label_agreement":null},{"id":"W4391176094","doi":"10.1038/s41598-024-52423-7","title":"Downstream network transformations dissociate neural activity from causal functional contributions","year":2024,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Universitätsklinikum Hamburg-Eppendorf; National Institutes of Health; National Institute of Biomedical Imaging and Bioengineering; Deutsche Forschungsgemeinschaft","keywords":"Artificial neural network; Neural activity; Computer science; Artificial intelligence; Causal model; Causal structure; Cognition; Neural system; Nervous system network models; Machine learning; Cognitive science; Neuroscience; Psychology; Recurrent neural network; Types of artificial neural networks; Mathematics","score_opus":0.019574845082616418,"score_gpt":0.2562756033418229,"score_spread":0.2367007582592065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391176094","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9515605,0.00008045208,0.006525977,0.0016750714,0.037196804,0.00033115986,0.0002937209,0.00043209962,0.0019042154],"genre_scores_gemma":[0.9960954,0.0000064213878,0.000016561375,0.00008428131,0.00042410687,0.000036590747,0.0002616116,0.000014241192,0.0030607388],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977339,0.00009936305,0.00035538105,0.00083483756,0.0005614821,0.00041506632],"domain_scores_gemma":[0.99903804,0.0002530923,0.00011101217,0.00038100727,0.000074641874,0.0001422149],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051113416,0.000164151,0.00015284438,0.00010860295,0.0010724235,0.0009695219,0.000091131886,0.00007842658,0.0003576464],"category_scores_gemma":[0.00025185666,0.00013955488,0.00018309565,0.0009492243,0.0002277759,0.00078118156,0.00004315789,0.00028600454,0.000112347174],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040691466,0.00023438408,0.0010933542,0.000023433166,0.000040715862,0.0007985299,0.0002651014,0.008725799,0.8722675,0.0074244523,0.09358408,0.015501951],"study_design_scores_gemma":[0.00053367234,0.00015520633,0.02731295,0.00017723063,0.00023178055,0.0011027826,0.00005496299,0.4047234,0.14077665,0.19901189,0.22475244,0.0011670529],"about_ca_topic_score_codex":0.000067826215,"about_ca_topic_score_gemma":0.00008840626,"teacher_disagreement_score":0.73149085,"about_ca_system_score_codex":0.00012257061,"about_ca_system_score_gemma":0.00014968726,"threshold_uncertainty_score":0.9349122},"labels":[],"label_agreement":null},{"id":"W4391221311","doi":"10.7554/elife.93191","title":"Evidence from pupillometry, fMRI, and RNN modelling shows that gain neuromodulation mediates task-relevant perceptual switches","year":2024,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Health and Medical Research Council; Australian Research Council","keywords":"Pupillometry; Neuromodulation; Neuroscience; Psychology; Perception; Cognitive psychology; Pupil; Stimulation","score_opus":0.09522004614085117,"score_gpt":0.2724220141523339,"score_spread":0.17720196801148275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391221311","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97935116,0.0014728371,0.016124824,0.0013464545,0.0011968692,0.00018479693,0.000045074914,0.00022142616,0.000056532834],"genre_scores_gemma":[0.9964151,0.0019877132,0.00025875002,0.00073056197,0.00033906207,0.000012671316,0.000013345018,0.00003482885,0.00020798758],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981661,0.00009735507,0.00022328024,0.0007247631,0.0005252748,0.00026325052],"domain_scores_gemma":[0.99849534,0.0010896949,0.000052955373,0.00021875362,0.000024816882,0.00011845845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025768348,0.00020092743,0.0001703703,0.00015055384,0.00016480802,0.00033718412,0.00013705165,0.00008155172,0.00008148009],"category_scores_gemma":[0.0005173257,0.00016719384,0.000065784494,0.00029094014,0.00008580063,0.0006343421,0.000110830275,0.00026424794,0.000094119816],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029047456,0.000020833231,0.001873959,0.00003619466,0.000006425751,0.000052291547,0.0010308035,0.008567363,0.9796515,0.0002759728,0.00054182956,0.007913741],"study_design_scores_gemma":[0.000087395594,0.00007699842,0.00239424,0.0001607162,0.000021983149,0.000018071674,0.00009846638,0.9293241,0.06595235,0.001136093,0.00051298307,0.00021662685],"about_ca_topic_score_codex":0.0001446439,"about_ca_topic_score_gemma":0.000020825495,"teacher_disagreement_score":0.9207567,"about_ca_system_score_codex":0.00003790682,"about_ca_system_score_gemma":0.000028087788,"threshold_uncertainty_score":0.68179667},"labels":[],"label_agreement":null},{"id":"W4391221400","doi":"10.7554/elife.93191.1","title":"Gain neuromodulation mediates perceptual switches: evidence from pupillometry, fMRI, and RNN Modelling","year":2024,"lang":"en","type":"preprint","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Pupillometry; Neuromodulation; Psychology; Cognitive psychology; Perception; Neuroscience; Computer science; Pupil; Stimulation","score_opus":0.09490462797954878,"score_gpt":0.2894281930144549,"score_spread":0.1945235650349061,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391221400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98638123,0.0014322659,0.0069403015,0.0013845215,0.0029660538,0.00037213863,0.00012307272,0.00026884407,0.00013155023],"genre_scores_gemma":[0.9951777,0.0024862946,0.00043755208,0.0006705617,0.0008105013,0.00003559882,0.000050023456,0.00006661367,0.00026518182],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997026,0.00015016225,0.00042486994,0.0013843208,0.0007088767,0.0003057492],"domain_scores_gemma":[0.99829304,0.0008428372,0.00017025127,0.00047844203,0.00005921224,0.00015622732],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003237221,0.00038177936,0.00034657502,0.00024910408,0.00014526627,0.00043777103,0.00027620533,0.00028150616,0.00006332083],"category_scores_gemma":[0.0009619379,0.00034941596,0.0001292846,0.0002675892,0.000107393156,0.00019471551,0.0011225705,0.0010565801,0.00014973823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010496524,0.00008417973,0.0018048376,0.00048847916,0.000037481783,0.00014208365,0.0031086535,0.20205142,0.78019005,0.00056504784,0.001644093,0.009778683],"study_design_scores_gemma":[0.000093868926,0.00005864889,0.0010975417,0.0004929893,0.00005840019,0.000011046139,0.000048233305,0.96489567,0.021087829,0.011557254,0.00019094728,0.00040759268],"about_ca_topic_score_codex":0.00035532375,"about_ca_topic_score_gemma":0.000021178692,"teacher_disagreement_score":0.7628442,"about_ca_system_score_codex":0.000075757955,"about_ca_system_score_gemma":0.00007596511,"threshold_uncertainty_score":0.9998958},"labels":[],"label_agreement":null},{"id":"W4391229943","doi":"10.7554/elife.93191.1.sa3","title":"Author Response: Gain neuromodulation mediates perceptual switches: evidence from pupillometry, fMRI, and RNN Modelling","year":2024,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Pupillometry; Neuromodulation; Neuroscience; Psychology; Cognitive psychology; Perception; Computer science; Cognitive science; Pupil","score_opus":0.14433054202659573,"score_gpt":0.34401279048658145,"score_spread":0.19968224845998572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391229943","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30235767,0.086005084,0.025267761,0.5500035,0.027679905,0.0037845585,0.002351116,0.001622708,0.00092768326],"genre_scores_gemma":[0.266193,0.037659537,0.0013192651,0.016403172,0.0021003175,0.00020327864,0.0006624573,0.00037188598,0.6750871],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.995079,0.00060631207,0.0007667289,0.0019376756,0.0011374154,0.00047290607],"domain_scores_gemma":[0.9948461,0.0038346394,0.00026803606,0.00068749057,0.00012751119,0.00023619979],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013013303,0.0006412793,0.0007397707,0.00045449188,0.00022058183,0.00043632914,0.00048583478,0.00040682504,0.00071543833],"category_scores_gemma":[0.0047376957,0.0005209036,0.00023569002,0.0008393776,0.00015708026,0.0004412585,0.00039099288,0.001080452,0.00031664388],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032222236,0.000057363915,0.00002214883,0.0023597018,0.000030496432,0.00012683793,0.00041672727,0.0021156855,0.14244844,0.00015443617,0.8398492,0.01209679],"study_design_scores_gemma":[0.00018178702,0.00034482894,0.00016674965,0.008074439,0.00037761297,0.000067555295,0.000045659195,0.66441315,0.0028508268,0.002807437,0.31952158,0.0011483862],"about_ca_topic_score_codex":0.00042076866,"about_ca_topic_score_gemma":0.000049915016,"teacher_disagreement_score":0.6741594,"about_ca_system_score_codex":0.00012839667,"about_ca_system_score_gemma":0.00015674146,"threshold_uncertainty_score":0.99972427},"labels":[],"label_agreement":null},{"id":"W4391246748","doi":"10.1101/2024.01.25.577245","title":"Amplifying post-stimulation oscillatory dynamics by engaging synaptic plasticity with periodic stimulation: a modelling study","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Brain Institute; University of Toronto; University of Ottawa; Royal Ottawa Mental Health Centre; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Neuroscience; Stimulation; Synaptic plasticity; Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Neuroplasticity; Population; Biological neural network; Plasticity; Biology; Physics; Medicine; Receptor","score_opus":0.022795700320610228,"score_gpt":0.22996062909854184,"score_spread":0.2071649287779316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391246748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.942437,0.00016328787,0.052819874,0.00011806899,0.0013733496,0.001710329,0.0004236822,0.00094507996,0.0000093459075],"genre_scores_gemma":[0.9982513,0.000024212572,0.00081890204,0.0001972221,0.0002675586,0.00017309436,0.0000019153015,0.00025578056,0.000010016572],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9949472,0.00033782498,0.00077695464,0.0022071856,0.0009912337,0.0007396221],"domain_scores_gemma":[0.99742556,0.00045130175,0.0004965136,0.0009082537,0.00042158295,0.0002967747],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005664424,0.0009002472,0.00069280807,0.00053032686,0.0007601917,0.001029808,0.0005268543,0.00041087568,0.000021292299],"category_scores_gemma":[0.00036531137,0.00088232406,0.00015813316,0.00088851975,0.0001780146,0.00033261054,0.00072988885,0.0019761482,0.000063037194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017620057,0.00037085943,0.006124511,0.00062438817,0.00014538677,0.00018626508,0.000092212395,0.5251065,0.46636096,0.0007873961,0.000017398645,0.000007966139],"study_design_scores_gemma":[0.0006105785,0.00031634813,0.0041953153,0.00048237544,0.0003024485,1.7355022e-7,0.00002703065,0.9868733,0.0060916073,0.000014049418,0.000039274066,0.0010474627],"about_ca_topic_score_codex":0.000095042444,"about_ca_topic_score_gemma":0.000013310277,"teacher_disagreement_score":0.46176687,"about_ca_system_score_codex":0.0008982606,"about_ca_system_score_gemma":0.00049258576,"threshold_uncertainty_score":0.99936277},"labels":[],"label_agreement":null},{"id":"W4391302568","doi":"10.1101/2024.01.29.577766","title":"Encoding of vibrotactile stimuli by mechanoreceptors in rodent glabrous skin","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"","keywords":"Stimulus (psychology); Somatosensory system; Rodent; Neuroscience; Population; Mechanoreceptor; Neural coding; Biology; Coding (social sciences); Sensory system; Communication; Psychology; Medicine; Mathematics; Cognitive psychology","score_opus":0.016601386050704724,"score_gpt":0.23215118256690506,"score_spread":0.21554979651620035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391302568","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936788,0.0003744907,0.000328382,0.0001950711,0.003792656,0.00080652314,0.00046945346,0.00030225862,0.000052331576],"genre_scores_gemma":[0.9987177,0.0002789139,0.00033023744,0.00016508013,0.00018816548,0.00014735511,3.7735757e-7,0.0001389485,0.00003317104],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99640995,0.00019863175,0.00074517843,0.001456497,0.0006096596,0.0005800922],"domain_scores_gemma":[0.9982453,0.00018368242,0.00041898797,0.0008506835,0.0001184061,0.00018293601],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00044391677,0.000564309,0.00062153273,0.000530594,0.000086198925,0.00021029073,0.0006650389,0.00046049786,0.00008225904],"category_scores_gemma":[0.00043340723,0.0005876116,0.00019783064,0.0010053556,0.000110433415,0.00015046229,0.0009514866,0.0011982031,0.00007939169],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032772314,0.00015439573,0.00039546494,0.00045804627,0.000017946511,0.000052928055,0.000013694774,0.0003224574,0.99677265,0.0012337221,0.0005375181,0.0000084234225],"study_design_scores_gemma":[0.0002816368,0.000084932944,0.0010965609,0.00053763326,0.000039940147,2.995326e-8,0.0000028108307,0.007461967,0.98819375,0.000037239846,0.0016748195,0.00058868446],"about_ca_topic_score_codex":0.00020441541,"about_ca_topic_score_gemma":0.000009107177,"teacher_disagreement_score":0.008578885,"about_ca_system_score_codex":0.00042078996,"about_ca_system_score_gemma":0.00027000078,"threshold_uncertainty_score":0.9996575},"labels":[],"label_agreement":null},{"id":"W4391345536","doi":"10.3390/s24030842","title":"Two-Stage Atomic Decomposition of Multichannel EEG and the Previously Undetectable Sleep Spindles","year":2024,"lang":"en","type":"article","venue":"Sensors","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sleep spindle; Electroencephalography; Sleep (system call); Matching pursuit; Computer science; Sleep Stages; Pattern recognition (psychology); Pipeline (software); SIGNAL (programming language); Artificial intelligence; Noise (video); Matching (statistics); Slow-wave sleep; Psychology; Neuroscience; Polysomnography; Mathematics; Statistics","score_opus":0.015362845088612048,"score_gpt":0.27007139394538093,"score_spread":0.25470854885676886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391345536","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976477,0.00017998823,0.00017884083,0.00041425155,0.000382215,0.00026237333,0.000013853501,0.00006658487,0.0008542079],"genre_scores_gemma":[0.9987215,0.000108758606,0.000055450884,0.0001467632,0.000033568787,0.0000059877525,0.0000013114377,0.000014105422,0.0009125924],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999231,0.00010675298,0.0001468069,0.00024389788,0.00012268046,0.00014887504],"domain_scores_gemma":[0.99943954,0.00033871553,0.000043293938,0.00013462239,0.000012915425,0.00003090948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017313083,0.00009138792,0.00011431578,0.000061285995,0.000099942634,0.0000723161,0.00007383618,0.00002838109,0.000017407763],"category_scores_gemma":[0.000087036584,0.000059509664,0.000056016816,0.00016584567,0.00015401437,0.0000822457,0.00004251952,0.00011010819,0.00002036219],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001452144,0.000021579099,0.000042182375,0.00012609443,0.00001184349,0.00002226705,0.00059457566,0.004062408,0.9603436,0.030485239,0.000023823737,0.0041211853],"study_design_scores_gemma":[0.0006567254,0.000073324714,0.00024970665,0.00006032275,0.000028052333,0.000046419485,0.00011934175,0.7932603,0.20265374,0.0023862764,0.000357587,0.000108230866],"about_ca_topic_score_codex":0.000080252874,"about_ca_topic_score_gemma":0.000025535712,"teacher_disagreement_score":0.78919786,"about_ca_system_score_codex":0.00001907026,"about_ca_system_score_gemma":0.000009191614,"threshold_uncertainty_score":0.24267338},"labels":[],"label_agreement":null},{"id":"W4391349448","doi":"10.7554/elife.87820.3","title":"Behavioral entrainment to rhythmic auditory stimulation can be modulated by tACS depending on the electrical stimulation field properties","year":2024,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Transcranial alternating current stimulation; Entrainment (biomusicology); Perception; Neuroscience; Rhythm; Auditory cortex; Stimulation; Local field potential; Computer science; Psychology; Physics; Transcranial magnetic stimulation; Acoustics","score_opus":0.04644112392257834,"score_gpt":0.28221210816546627,"score_spread":0.23577098424288792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391349448","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929782,0.000019315135,0.0009850131,0.004174564,0.0010564843,0.00052590674,0.000017055501,0.00015224515,0.000091185284],"genre_scores_gemma":[0.995721,0.000008320924,0.00001206747,0.0034086476,0.00024232666,0.000033096738,0.000012581495,0.000020754576,0.0005412266],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986528,0.00009343195,0.00018342794,0.00036016124,0.00047400018,0.00023613744],"domain_scores_gemma":[0.9994882,0.0002334003,0.000032263368,0.00015560818,0.000020930247,0.00006965081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013658675,0.00013602758,0.00008571765,0.00008639054,0.00021979207,0.00016021628,0.0000874589,0.00006400836,0.00006602622],"category_scores_gemma":[0.0002271696,0.00009333966,0.00004617227,0.00028581166,0.000017400745,0.00010685282,0.000034404067,0.00022528265,0.000045918758],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057367117,0.000051169754,0.00006747843,0.000005721082,0.0000032375722,0.000015411273,0.00024802337,0.010904709,0.9730961,0.0005725698,0.009031574,0.00594668],"study_design_scores_gemma":[0.00013972312,0.00058301125,0.0011484495,0.000049306625,0.000016564933,0.000009259506,0.000017101038,0.53539383,0.45632353,0.000071167146,0.0060489587,0.00019908273],"about_ca_topic_score_codex":0.000042183092,"about_ca_topic_score_gemma":0.000009649405,"teacher_disagreement_score":0.5244891,"about_ca_system_score_codex":0.00018305934,"about_ca_system_score_gemma":0.000031824035,"threshold_uncertainty_score":0.38062808},"labels":[],"label_agreement":null},{"id":"W4391467187","doi":"10.1101/2024.02.02.578603","title":"Neural Dynamics of the Processing of Speech Features: Evidence for a Progression of Features from Acoustic to Sentential Processing","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto; McMaster University","funders":"National Institutes of Health; National Science Foundation","keywords":"Magnetoencephalography; Speech perception; Speech processing; Neurocomputational speech processing; Speech recognition; Lateralization of brain function; Psychology; Computer science; Neural correlates of consciousness; Perception; Electroencephalography; Cognitive psychology; Cognition; Neuroscience","score_opus":0.028418347141934353,"score_gpt":0.2845180026156486,"score_spread":0.2560996554737142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391467187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99057806,0.0012108245,0.002666774,0.00082265196,0.00175428,0.0020291186,0.0008131657,0.00012281566,0.000002330582],"genre_scores_gemma":[0.99576026,0.000038014834,0.0035373287,0.00010516426,0.00031170607,0.00013208902,5.229334e-7,0.00010355284,0.000011367059],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9967815,0.00013692802,0.0007440941,0.0011048646,0.00083214045,0.00040044438],"domain_scores_gemma":[0.9970498,0.000267986,0.0010660616,0.00081169454,0.00068867515,0.00011576331],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00037377817,0.0004580066,0.0006462302,0.0002607865,0.00016512425,0.00019616482,0.0009532458,0.0003669074,0.0000029393725],"category_scores_gemma":[0.0017713695,0.000353606,0.00029054098,0.0009901074,0.00025587788,0.00016817561,0.0010723803,0.00077264087,7.3733935e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026824218,0.00011157875,0.0005281328,0.0047217566,0.000023300738,0.0000064667747,0.0000374782,0.00068434514,0.9931184,0.00013613065,0.00004251577,0.00032165227],"study_design_scores_gemma":[0.0002364535,0.00015364013,0.01245016,0.009955257,0.00029584594,9.994895e-8,0.000009673672,0.05443269,0.92202026,0.000066064604,0.00000974029,0.00037011394],"about_ca_topic_score_codex":0.00006137498,"about_ca_topic_score_gemma":0.000020017846,"teacher_disagreement_score":0.07109814,"about_ca_system_score_codex":0.00016194998,"about_ca_system_score_gemma":0.0006495464,"threshold_uncertainty_score":0.9998916},"labels":[],"label_agreement":null},{"id":"W4391543914","doi":"10.1101/2024.01.31.578243","title":"Thalamic feedback shapes brain responses evoked by cortical stimulation in mice and humans","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Fondazione Regionale per la Ricerca Biomedica; Regione Lombardia; Università degli Studi di Milano; Canadian Institute for Advanced Research; Ministero dell'Università e della Ricerca; National Institutes of Health; National Science Foundation","keywords":"Neuroscience; Bursting; Stimulation; Thalamus; Optogenetics; GABAergic; Cortical neurons; Psychology; Thalamic stimulator; Deep brain stimulation; Biology; Medicine; Inhibitory postsynaptic potential","score_opus":0.02054228710266845,"score_gpt":0.24932760806524532,"score_spread":0.22878532096257687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391543914","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99620616,0.0005060824,0.00012136663,0.0010469913,0.0008357025,0.00067607866,0.0002746602,0.0003218766,0.000011060528],"genre_scores_gemma":[0.99869573,0.00015970392,0.00010066871,0.0006529926,0.00014648223,0.00008035151,3.9503746e-7,0.00010621886,0.000057464043],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99674714,0.0004098874,0.0005354755,0.0014372931,0.00038917444,0.00048101912],"domain_scores_gemma":[0.99855804,0.0005856339,0.00018626594,0.00042638768,0.00008208472,0.00016157332],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00058641855,0.00047732715,0.00042455367,0.0003857699,0.00016001826,0.0004376682,0.00032603362,0.00042543773,0.000025124205],"category_scores_gemma":[0.0012897874,0.00049376435,0.00008882252,0.00055931974,0.00020056641,0.00016018303,0.0006006691,0.0012135416,0.00006331155],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010052572,0.00008195508,0.002236673,0.0002502451,0.00000982302,0.00007722762,0.000013741784,0.000113113834,0.9955035,0.0013331091,0.00027633263,0.000003789479],"study_design_scores_gemma":[0.0013066919,0.00025765857,0.48063812,0.0012609162,0.00013057562,2.0595388e-7,0.000006295602,0.07832366,0.43368787,0.00023965389,0.0023455718,0.001802787],"about_ca_topic_score_codex":0.00004232596,"about_ca_topic_score_gemma":0.000009596716,"teacher_disagreement_score":0.5618156,"about_ca_system_score_codex":0.00022189962,"about_ca_system_score_gemma":0.00020320846,"threshold_uncertainty_score":0.9997514},"labels":[],"label_agreement":null},{"id":"W4391810045","doi":"10.7554/elife.87356.3.sa0","title":"eLife assessment: A dynamical computational model of theta generation in hippocampal circuits to study theta-gamma oscillations during neurostimulation","year":2024,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Neurostimulation; Theta rhythm; Hippocampal formation; Neuroscience; Electronic circuit; Physics; Psychology; Stimulation; Quantum mechanics","score_opus":0.10300883557613588,"score_gpt":0.3595945303348308,"score_spread":0.2565856947586949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391810045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9278306,0.00022808247,0.03046547,0.024607046,0.0039926283,0.0072236494,0.0016359356,0.00030202614,0.003714602],"genre_scores_gemma":[0.9831944,0.000090866706,0.0003259869,0.0014263703,0.00015688087,0.00015698328,0.000706071,0.000072814226,0.013869609],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99563426,0.00039049223,0.0011387853,0.0011928568,0.0013184852,0.00032510585],"domain_scores_gemma":[0.9986066,0.0002859444,0.00029969207,0.00045402357,0.00023453358,0.00011920853],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00052146893,0.00044383845,0.00065845443,0.00062669034,0.00017454369,0.00015060081,0.00033001334,0.00016520213,0.00009867956],"category_scores_gemma":[0.00040373811,0.0003943212,0.00021315683,0.0010087953,0.000041948886,0.00021907175,0.00024588115,0.000612033,0.00003862183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000106787365,0.00039580677,0.00011676147,0.0004042403,0.000017970737,0.0000138139185,0.00010653223,0.9716686,0.0203569,0.001829967,0.0039018074,0.0011769289],"study_design_scores_gemma":[0.00040658732,0.00016635563,0.002988258,0.00028096722,0.00010800851,0.000012895039,0.000007259014,0.99326295,0.00009446714,0.002078865,0.00024161869,0.00035179197],"about_ca_topic_score_codex":0.000040866013,"about_ca_topic_score_gemma":0.00017104663,"teacher_disagreement_score":0.05536386,"about_ca_system_score_codex":0.00025225332,"about_ca_system_score_gemma":0.00024750014,"threshold_uncertainty_score":0.99985087},"labels":[],"label_agreement":null},{"id":"W4391850776","doi":"10.1016/j.celrep.2024.113785","title":"Functional subtypes of synaptic dynamics in mouse and human","year":2024,"lang":"en","type":"article","venue":"Cell Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Glutamatergic; Neuroscience; Cluster analysis; Biology; Human brain; Dynamics (music); Computer science; Computational biology; Evolutionary biology; Artificial intelligence; Psychology; Glutamate receptor; Genetics","score_opus":0.017730929361555934,"score_gpt":0.23401239370694257,"score_spread":0.21628146434538664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391850776","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948606,0.000064560925,0.00006397921,0.000060457223,0.00042815926,0.00007534176,0.000003219943,0.000038500213,0.0044052107],"genre_scores_gemma":[0.9951766,0.00001690926,0.0000082396355,0.000035198333,0.000019582796,0.000003579998,0.0000063816806,0.0000101375645,0.0047233794],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99929374,0.00001729493,0.000204054,0.00027177332,0.000119820106,0.00009333714],"domain_scores_gemma":[0.99972165,0.00007097369,0.00005182016,0.00011816821,0.000010378502,0.000027016553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001165334,0.00006401212,0.00008155701,0.000103226055,0.000032722448,0.000029224373,0.000022958478,0.00003631025,0.000032730684],"category_scores_gemma":[0.000055559187,0.000057094774,0.000026607873,0.00014318948,0.0000562544,0.000080201855,0.00003088304,0.00009648166,0.0000035775863],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000061519036,0.000047861246,0.008182852,0.00011622234,0.0000020577947,0.0007310208,0.000023971963,0.00013139893,0.9788829,0.011197236,0.0001552647,0.00052304973],"study_design_scores_gemma":[0.00037941997,0.00043897488,0.036777534,0.00017351162,0.000044002652,0.0019453103,0.00011892468,0.13080657,0.7971107,0.028830811,0.0027410234,0.0006332517],"about_ca_topic_score_codex":0.000037148366,"about_ca_topic_score_gemma":0.00005439096,"teacher_disagreement_score":0.18177225,"about_ca_system_score_codex":0.000043968164,"about_ca_system_score_gemma":0.000020622685,"threshold_uncertainty_score":0.23282573},"labels":[],"label_agreement":null},{"id":"W4391885288","doi":"10.7554/elife.94561.1","title":"The neurodevelopmental trajectory of beta band oscillations: an OPM-MEG study","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children","funders":"Engineering and Physical Sciences Research Council; National Institutes of Health","keywords":"BETA (programming language); Trajectory; Beta Rhythm; Physics; Computer science; Neuroscience; Psychology; Electroencephalography; Astronomy; Programming language","score_opus":0.04885143807998848,"score_gpt":0.2942374138233965,"score_spread":0.24538597574340804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391885288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9887678,0.000052597687,0.000023463692,0.00045081953,0.0031693848,0.0008936886,0.000049266833,0.00012985386,0.0064630993],"genre_scores_gemma":[0.9964125,0.000067451234,0.000031515287,0.00015975401,0.000094094794,0.000048789072,0.0000091686225,0.00003101642,0.0031456726],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99795717,0.00022605098,0.00042431918,0.0007439596,0.00045356867,0.0001949515],"domain_scores_gemma":[0.9989208,0.00029113187,0.00013235593,0.0005530966,0.00004212507,0.000060490926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003414048,0.00023313706,0.00021101575,0.000120720026,0.00026297328,0.00024301994,0.00048737574,0.000083063125,0.000045909015],"category_scores_gemma":[0.00010789237,0.00014953795,0.00010532134,0.00022314076,0.00011628248,0.000070548405,0.0006616241,0.00055887824,0.000023696297],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038436998,0.0031773262,0.01683868,0.0006944408,0.00028903186,0.00020125127,0.006660613,0.009165585,0.85871065,0.023488307,0.0074606924,0.07292907],"study_design_scores_gemma":[0.002789366,0.00410298,0.6529902,0.0004171093,0.0006467318,0.00015914901,0.0054326197,0.10828108,0.15278992,0.05235239,0.01603958,0.003998829],"about_ca_topic_score_codex":0.00007503697,"about_ca_topic_score_gemma":0.00025489766,"teacher_disagreement_score":0.7059207,"about_ca_system_score_codex":0.00004560194,"about_ca_system_score_gemma":0.0001475303,"threshold_uncertainty_score":0.6097981},"labels":[],"label_agreement":null},{"id":"W4391924280","doi":"10.1038/s41467-024-45922-8","title":"A neurophysiological basis for aperiodic EEG and the background spectral trend","year":2024,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":133,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Electroencephalography; Aperiodic graph; Neurophysiology; Neuroscience; Rhythm; EEG-fMRI; Brain activity and meditation; Computer science; Pattern recognition (psychology); Artificial intelligence; Psychology; Medicine; Mathematics","score_opus":0.04681215107545981,"score_gpt":0.3136413493414476,"score_spread":0.2668291982659878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391924280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.850026,0.009930987,0.0003879347,0.12479768,0.0016858889,0.0013261088,0.0002723182,0.0004615077,0.011111547],"genre_scores_gemma":[0.99538887,0.0010964277,0.0003617421,0.0026045807,0.000060634702,0.000084082414,0.000014616344,0.0000108330005,0.0003782314],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99929136,0.00016893109,0.00010944582,0.00023001163,0.000077717654,0.00012254405],"domain_scores_gemma":[0.99686724,0.0024606222,0.000023264409,0.0006068545,0.000012491477,0.000029522917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001268506,0.00008731277,0.000093727765,0.000041037987,0.00047726606,0.00020784154,0.00048795607,0.00008628018,0.000013116618],"category_scores_gemma":[0.00029469145,0.000050671802,0.00008905266,0.00027222955,0.0004299907,0.00008975884,0.00018051919,0.0005988719,0.000008858043],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006229582,0.00003728557,0.000005971237,0.000012634788,0.0000070423516,0.0000015233873,0.000103107806,0.0000039988627,0.12291357,0.8705208,0.0020349734,0.0042968206],"study_design_scores_gemma":[0.0014339499,0.00036572502,0.013859199,0.00006708235,0.00015172819,0.00017556745,0.00022324304,0.2354335,0.0020168214,0.055863008,0.68992186,0.0004883184],"about_ca_topic_score_codex":0.0000029438656,"about_ca_topic_score_gemma":0.000042061583,"teacher_disagreement_score":0.81465775,"about_ca_system_score_codex":0.000015612237,"about_ca_system_score_gemma":0.000014794302,"threshold_uncertainty_score":0.3670793},"labels":[],"label_agreement":null},{"id":"W4391944526","doi":"10.3390/ijms25042399","title":"Holographic Brain Theory: Super-Radiance, Memory Capacity and Control Theory","year":2024,"lang":"en","type":"article","venue":"International Journal of Molecular Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Japan Science and Technology Agency","keywords":"Radiance; Holography; Computer science; Control (management); Remote sensing; Artificial intelligence; Optics; Physics; Geology","score_opus":0.016941222248750682,"score_gpt":0.2646062765719625,"score_spread":0.24766505432321181,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391944526","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9704408,0.00095639855,0.017068448,0.007363803,0.0022947905,0.00006535409,0.000015054179,0.000021745209,0.0017735884],"genre_scores_gemma":[0.9956241,0.00012308534,0.00014802505,0.0038548177,0.00013509516,0.0000015481014,1.98833e-7,0.000006630475,0.00010650177],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984242,0.00032201514,0.00023162818,0.00024837343,0.0006238684,0.00014994438],"domain_scores_gemma":[0.9988627,0.0008010295,0.00010317363,0.00006369624,0.00009216894,0.00007723393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017485966,0.00009966634,0.0001157547,0.00040280056,0.000102139355,0.00035128833,0.00051145646,0.000037089216,0.000043828495],"category_scores_gemma":[0.0007949298,0.00007108696,0.000118109645,0.00029887163,0.00068550656,0.0004649334,0.000041190306,0.00021487828,0.0000057499897],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005674278,0.000025441217,0.00022229599,0.0000050638187,0.000033774715,0.00051821803,0.00014301215,0.0001747099,0.6944446,0.28502646,0.00011702972,0.019232644],"study_design_scores_gemma":[0.0012590305,0.00090834306,0.0036294356,0.0002623862,0.000065927,0.0054212823,0.00029530434,0.013771449,0.16643865,0.8013431,0.0061684386,0.00043668938],"about_ca_topic_score_codex":0.000003411312,"about_ca_topic_score_gemma":0.0000014740659,"teacher_disagreement_score":0.52800596,"about_ca_system_score_codex":0.000022444994,"about_ca_system_score_gemma":0.00007566176,"threshold_uncertainty_score":0.33874816},"labels":[],"label_agreement":null},{"id":"W4391953610","doi":"10.1063/5.0176956","title":"Rapid changes in synchronizability in conductance-based neuronal networks with conductance-based coupling","year":2024,"lang":"en","type":"article","venue":"Chaos An Interdisciplinary Journal of Nonlinear Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Brain Institute; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Conductance; Coupling (piping); Stability (learning theory); Topology (electrical circuits); Inhibitory postsynaptic potential; Computer science; Physics; Statistical physics; Biological system; Mathematics; Neuroscience; Biology; Combinatorics; Materials science","score_opus":0.03784356451652952,"score_gpt":0.313065771892063,"score_spread":0.2752222073755335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391953610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916916,0.00024505236,0.003430461,0.0026291187,0.0016014354,0.00027536787,0.000018428756,0.000039984832,0.00006853617],"genre_scores_gemma":[0.9980512,0.000042074593,0.0011100147,0.00042064706,0.00032028917,0.000009645191,0.0000032618093,0.000031097396,0.000011758064],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970461,0.00012181373,0.00065714115,0.0008160347,0.00075969216,0.00059919694],"domain_scores_gemma":[0.998495,0.00043808235,0.00028207418,0.00035317423,0.00019946751,0.00023221942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017603253,0.00029139826,0.00040342158,0.0008790708,0.00028150596,0.000315445,0.0008566957,0.00007980996,0.00008901742],"category_scores_gemma":[0.00019204314,0.00021583821,0.00009360578,0.0023588308,0.0011726527,0.0011957706,0.00018610129,0.00095105224,0.0000039722877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016767188,0.0010891799,0.005703933,0.00026122015,0.00000726123,0.0026405093,0.0010223348,0.47181815,0.50299704,0.00034246405,0.00004073742,0.012400446],"study_design_scores_gemma":[0.0007980508,0.0019399027,0.0036858304,0.0008566133,0.000007820169,0.00021909468,0.00023212741,0.97011775,0.021625614,0.00019649472,0.000056535544,0.0002641991],"about_ca_topic_score_codex":0.000004950079,"about_ca_topic_score_gemma":0.00020725846,"teacher_disagreement_score":0.49829957,"about_ca_system_score_codex":0.00039763245,"about_ca_system_score_gemma":0.0008955312,"threshold_uncertainty_score":0.88016266},"labels":[],"label_agreement":null},{"id":"W4392002273","doi":"10.3389/fpsyg.2024.1323493","title":"The oscillatory features of visual processing are altered in healthy aging","year":2024,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Institut Universitaire de Gériatrie de Montréal","funders":"","keywords":"Psychology; Perception; Audiology; Visual processing; Pattern recognition (psychology); Visual perception; Visual field; Artificial intelligence; Noise (video); Communication; Speech recognition; Cognitive psychology; Computer science; Neuroscience; Medicine","score_opus":0.021784999799727988,"score_gpt":0.3391493804822689,"score_spread":0.3173643806825409,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392002273","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.959518,0.009260811,0.003369356,0.008934472,0.016177798,0.0003531748,0.000007355692,0.00008600758,0.0022929953],"genre_scores_gemma":[0.9975743,0.00043156274,0.00017327751,0.0016112995,0.00008868714,0.000012048493,6.541492e-7,0.000013503097,0.00009463481],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9988985,0.00014987067,0.00022780965,0.00036106107,0.00011064825,0.00025209325],"domain_scores_gemma":[0.9996763,0.000093403,0.00006829777,0.00012847694,0.00000873775,0.00002482646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027417077,0.000086149244,0.00014075729,0.00024388306,0.00007111455,0.000035416055,0.00016735186,0.00006967939,0.0000019746492],"category_scores_gemma":[0.00009014425,0.00006406767,0.00003156734,0.00051605114,0.00015627009,0.00008498159,0.000026751797,0.00032415774,0.0000019346703],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066551205,0.00017540484,0.041391857,0.00026507123,0.0000076255155,0.00014683681,0.0010154811,0.00008300876,0.05498982,0.001427585,0.043130387,0.85670143],"study_design_scores_gemma":[0.005099652,0.0021525435,0.5364619,0.00159713,0.000028609104,0.00043096297,0.0030545783,0.13262735,0.010737488,0.12606877,0.18033282,0.0014082143],"about_ca_topic_score_codex":0.000006917206,"about_ca_topic_score_gemma":0.0000392866,"teacher_disagreement_score":0.8552932,"about_ca_system_score_codex":0.000044832417,"about_ca_system_score_gemma":0.00003200026,"threshold_uncertainty_score":0.2612604},"labels":[],"label_agreement":null},{"id":"W4392028318","doi":"10.1523/jneurosci.1157-23.2023","title":"Attention-Driven Modulation of Auditory Cortex Activity during Selective Listening in a Multispeaker Setting","year":2024,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"International Laboratory for Brain, Music and Sound Research; McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Deutsche Forschungsgemeinschaft; Carl von Ossietzky Universität Oldenburg","keywords":"Auditory cortex; Planum temporale; Psychology; Stimulus (psychology); Functional magnetic resonance imaging; Perception; Auditory perception; Active listening; Neuroscience; Brain activity and meditation; Sensory system; Cognitive neuroscience of music; Selective auditory attention; Cognitive psychology; Audiology; Cognition; Electroencephalography; Communication; Selective attention; Medicine","score_opus":0.019167452904374962,"score_gpt":0.2754376931634315,"score_spread":0.25627024025905654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392028318","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963427,0.000009523404,0.001160143,0.0002091565,0.0020725885,0.000102113874,0.0000037214627,0.0000191425,0.0000808956],"genre_scores_gemma":[0.9995662,0.00002410545,0.00009586173,0.000049112088,0.00013903824,0.000001378694,7.80977e-8,0.000011601222,0.00011259851],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984731,0.00014393838,0.00038773718,0.00030858436,0.00048473422,0.00020190765],"domain_scores_gemma":[0.9991662,0.00024026437,0.0003648574,0.00009253363,0.00007882116,0.000057346693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031721397,0.00010575428,0.00016930529,0.00038481905,0.00011329116,0.00008644629,0.00018942603,0.0000377711,0.0000024841363],"category_scores_gemma":[0.0007800014,0.000092495146,0.00010812897,0.0008801296,0.000104638966,0.0010509278,0.00005962662,0.00040243645,0.0000015429117],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037507743,0.000050679057,0.0034771496,0.000038210186,9.0853973e-7,0.00014258808,0.00014361806,0.0071120732,0.9874413,0.000043068085,0.000009016194,0.0015038707],"study_design_scores_gemma":[0.00017289048,0.00011187343,0.64704865,0.0001539185,0.0000048345046,0.0002541222,0.000012054332,0.3003539,0.051728226,0.00006651977,0.000023975697,0.00006904835],"about_ca_topic_score_codex":0.000006821455,"about_ca_topic_score_gemma":0.0000055371597,"teacher_disagreement_score":0.9357131,"about_ca_system_score_codex":0.000115812734,"about_ca_system_score_gemma":0.000083940206,"threshold_uncertainty_score":0.37718427},"labels":[],"label_agreement":null},{"id":"W4392123086","doi":"10.3389/fncom.2024.1347748","title":"Noise-induced synchrony of two-neuron motifs with asymmetric noise and uneven coupling","year":2024,"lang":"en","type":"article","venue":"Frontiers in Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Coupling (piping); Noise (video); Physics; Asymmetry; Neuron; Biological neuron model; Synchronization (alternating current); Stimulus (psychology); Bifurcation; Biological system; Statistical physics; Computer science; Neuroscience; Telecommunications; Nonlinear system; Quantum mechanics; Artificial intelligence; Biology; Psychology; Engineering","score_opus":0.019516658056797986,"score_gpt":0.2596833616625866,"score_spread":0.24016670360578862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392123086","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.879313,0.00009575372,0.117578596,0.00048769047,0.0019593784,0.00028026302,0.000022537355,0.00007867857,0.00018412093],"genre_scores_gemma":[0.9967967,0.000028772125,0.0026286982,0.0004014965,0.00003618102,0.00000966528,0.0000023929515,0.000023101744,0.00007295055],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99793357,0.000074594114,0.00030054746,0.0007984401,0.00060377637,0.0002890872],"domain_scores_gemma":[0.99914765,0.00046949927,0.00009651602,0.00014770792,0.00004482064,0.00009379938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027719873,0.00018563839,0.00020930001,0.00051089894,0.00013948359,0.00015245622,0.000266846,0.000035988345,0.0000016679046],"category_scores_gemma":[0.00034344418,0.0001622358,0.000038726255,0.0022149715,0.00029157475,0.00045987917,0.00009582773,0.00025947194,0.000002502371],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000073520256,0.00013863397,0.012701184,0.00014574302,0.000003056327,0.00021579953,0.00010533054,0.6742123,0.2946684,0.007245829,0.00023434787,0.0102558425],"study_design_scores_gemma":[0.00032693736,0.00023910792,0.028247397,0.00007435757,0.000007398692,0.00007596062,0.000011852396,0.9631098,0.004728061,0.0029338181,0.0000768301,0.00016850699],"about_ca_topic_score_codex":0.000015908252,"about_ca_topic_score_gemma":0.0000019006795,"teacher_disagreement_score":0.28994036,"about_ca_system_score_codex":0.00006316711,"about_ca_system_score_gemma":0.00013313832,"threshold_uncertainty_score":0.66157836},"labels":[],"label_agreement":null},{"id":"W4392200794","doi":"10.1101/2024.02.21.581426","title":"Feature selectivity of corticocortical feedback along the primate dorsal visual pathway","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Microstimulation; Neuroscience; Stimulus (psychology); Primate; Sensory system; Dorsum; Visual cortex; Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Psychology; Biology; Cognitive psychology; Anatomy; Stimulation","score_opus":0.014408033945151649,"score_gpt":0.24104740915377776,"score_spread":0.22663937520862612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392200794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993766,0.00027779734,0.00027939898,0.0012374584,0.0028488801,0.00091564417,0.00024339913,0.00041198908,0.000019433013],"genre_scores_gemma":[0.99876624,0.00008291387,0.00016522293,0.00036165072,0.00035705444,0.00011172125,2.0338514e-7,0.0001301257,0.000024881714],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99650943,0.00031456933,0.00050249475,0.0013293411,0.0007113679,0.00063280447],"domain_scores_gemma":[0.9978646,0.0003296745,0.00042219786,0.0009692848,0.00024940755,0.00016481763],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005599782,0.0005765817,0.0005806039,0.00018363832,0.0002283827,0.00036249717,0.0006450211,0.00050938706,0.000023430777],"category_scores_gemma":[0.00080457475,0.00043420537,0.00028510566,0.0009134651,0.00034747797,0.00011874534,0.0011904953,0.0019333715,0.000082250066],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053475578,0.00016224224,0.0017463308,0.00045987513,0.000045507775,0.000095523574,0.0000075700486,0.00006805131,0.99321795,0.0038764523,0.00025550826,0.000011503441],"study_design_scores_gemma":[0.00022258046,0.00012464983,0.055239215,0.00030485148,0.00012633065,1.8893391e-7,0.0000011911022,0.0076819253,0.93474895,0.000030650364,0.0009771093,0.00054235564],"about_ca_topic_score_codex":0.00003361303,"about_ca_topic_score_gemma":0.0000053129893,"teacher_disagreement_score":0.05846901,"about_ca_system_score_codex":0.00020767449,"about_ca_system_score_gemma":0.0006311954,"threshold_uncertainty_score":0.999811},"labels":[],"label_agreement":null},{"id":"W4392203284","doi":"10.1016/j.cub.2024.02.004","title":"Differences in the expression of cortex-wide neural dynamics are related to behavioral phenotype","year":2024,"lang":"en","type":"article","venue":"Current Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Institutes of Health; National Center for Advancing Translational Sciences; National Eye Institute; National Institute of Mental Health; Simons Foundation Autism Research Initiative","keywords":"Biology; Phenotype; Neuroscience; Expression (computer science); Dynamics (music); Evolutionary biology; Genetics; Gene; Psychology","score_opus":0.0604859697693725,"score_gpt":0.330733894499407,"score_spread":0.2702479247300345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392203284","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99607855,0.00020681931,0.00009462469,0.00075216504,0.0025019886,0.00019753704,0.00005268674,0.000038398783,0.00007720755],"genre_scores_gemma":[0.99972194,0.00004948956,0.000004126324,0.0001169478,0.000022080527,0.000016598322,0.000022058592,0.000006559264,0.000040182058],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990145,0.00018258637,0.00021802369,0.00031705937,0.000088755754,0.00017910691],"domain_scores_gemma":[0.99946284,0.00028312686,0.000057144553,0.00015470381,0.000013619982,0.00002858631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009676705,0.00010520226,0.0001406183,0.00010980869,0.000044632052,0.000024073559,0.00025228158,0.000061696985,0.000024916586],"category_scores_gemma":[0.00012469801,0.000062209416,0.00004813525,0.00036697552,0.00009482311,0.000051653242,0.00007843798,0.00025455974,0.000017168595],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000097689066,0.0003773879,0.15881258,0.00008654113,0.0000023834546,0.00003686044,0.0009329844,0.00003341807,0.73483604,0.024837622,0.00062333484,0.079323165],"study_design_scores_gemma":[0.0009772456,0.0025746776,0.7938267,0.00083392306,0.000070383714,0.00006775716,0.00079005084,0.14645419,0.023336368,0.02428813,0.005750606,0.0010300011],"about_ca_topic_score_codex":0.000013323513,"about_ca_topic_score_gemma":0.000040134677,"teacher_disagreement_score":0.7114997,"about_ca_system_score_codex":0.000024017103,"about_ca_system_score_gemma":0.000012110308,"threshold_uncertainty_score":0.25368264},"labels":[],"label_agreement":null},{"id":"W4392229423","doi":"10.1101/2024.02.23.581841","title":"Object motion representation in the macaque ventral stream – a gateway to understanding the brain’s intuitive physics engine","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada First Research Excellence Fund; Simons Foundation Autism Research Initiative","keywords":"Gateway (web page); Macaque; Representation (politics); Motion (physics); Object (grammar); Computer science; Cognitive science; Physics; Neuroscience; Artificial intelligence; Biology; Psychology; World Wide Web","score_opus":0.039245816527409896,"score_gpt":0.25930115176396595,"score_spread":0.22005533523655607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392229423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97314143,0.00004885451,0.015301783,0.006689781,0.0023488076,0.0019347813,0.00021383767,0.00026808886,0.000052660806],"genre_scores_gemma":[0.99757534,0.00004708422,0.000085041,0.0013895411,0.00053569477,0.00028503407,7.113478e-7,0.00007555714,0.000006018977],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9971969,0.00039954457,0.00038155288,0.0010309276,0.0005191272,0.00047196477],"domain_scores_gemma":[0.9983283,0.0005029863,0.00019871409,0.0008117555,0.00006861907,0.000089588226],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006032497,0.00039985607,0.00027582378,0.00021883016,0.00023496817,0.0006197787,0.00058337377,0.00019710018,0.000010188857],"category_scores_gemma":[0.00067763013,0.00028855944,0.0001537585,0.001350529,0.00008792442,0.00016048667,0.0004491718,0.0011962762,0.00004990372],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006125679,0.00013770172,0.00034417966,0.00020255269,0.000036591362,0.00015044797,0.00043566248,0.0057521826,0.93934345,0.05299981,0.0005072947,0.000028886223],"study_design_scores_gemma":[0.0008668924,0.0003442097,0.037041117,0.0013305556,0.00020487586,4.5715947e-7,0.00026338708,0.055671975,0.89695734,0.0052134916,0.000552774,0.0015529306],"about_ca_topic_score_codex":0.000080351536,"about_ca_topic_score_gemma":0.0000152145385,"teacher_disagreement_score":0.04991979,"about_ca_system_score_codex":0.00067419483,"about_ca_system_score_gemma":0.00016910871,"threshold_uncertainty_score":0.99995667},"labels":[],"label_agreement":null},{"id":"W4392229873","doi":"10.21203/rs.3.rs-3805722/v1","title":"Efficient value encoding through convergence of tactile and visual value information in the primate putamen","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Ministry of Science and ICT, South Korea; National Research Foundation","keywords":"Encoding (memory); Putamen; Value (mathematics); Primate; Convergence (economics); Computer science; Artificial intelligence; Neuroscience; Psychology; Economics; Machine learning","score_opus":0.06268434745741544,"score_gpt":0.39945853680894444,"score_spread":0.33677418935152903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392229873","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99385124,0.00013485274,0.00023072286,0.0010496782,0.00052478025,0.0012336058,0.00007571887,0.00003637359,0.0028630442],"genre_scores_gemma":[0.99928564,0.00033331919,0.000034898247,0.00012324004,0.00005432916,0.00010251268,0.00001467883,0.000012980074,0.000038409697],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99689037,0.00064311264,0.00039456837,0.0004280852,0.001249576,0.00039426325],"domain_scores_gemma":[0.99853677,0.00088519475,0.0001235734,0.00028876474,0.000120314726,0.00004540602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001882859,0.00016876817,0.0002045997,0.00033667084,0.00017196497,0.00030299946,0.0003699059,0.00014482212,0.000017172462],"category_scores_gemma":[0.000962219,0.000119703815,0.00007105113,0.00069866097,0.00022348555,0.00014861696,0.0013080335,0.0013506742,0.000041223135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006625741,0.00097382086,0.0016192305,0.029170409,0.000057865884,0.0002709074,0.053548913,0.2368088,0.29154304,0.36298186,0.001813548,0.02054904],"study_design_scores_gemma":[0.00023853416,0.00030289873,0.0018623048,0.0011602804,0.000010552307,0.000022149818,0.0015387114,0.9435463,0.032156296,0.018213475,0.00071808294,0.00023040314],"about_ca_topic_score_codex":0.0003648526,"about_ca_topic_score_gemma":0.0000045883003,"teacher_disagreement_score":0.7067375,"about_ca_system_score_codex":0.00015331864,"about_ca_system_score_gemma":0.00019989377,"threshold_uncertainty_score":0.5868082},"labels":[],"label_agreement":null},{"id":"W4392241782","doi":"10.7554/elife.96231","title":"Building a mathematical model of the brain","year":2024,"lang":"en","type":"editorial","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network","funders":"","keywords":"Mathematical model; Computer science; Computational model; Computational neuroscience; Cognitive science; Neuroscience; Hippocampal formation; Artificial intelligence; Theoretical computer science; Biology; Psychology; Mathematics","score_opus":0.026011679713342343,"score_gpt":0.2895253657596199,"score_spread":0.26351368604627756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392241782","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025208325,0.00002588911,0.0027324988,0.0017426721,0.9901966,0.0002578895,0.00024614987,0.000082292296,0.002195185],"genre_scores_gemma":[0.015242552,0.00004581444,0.0005386818,0.0011127571,0.94936186,0.000045769382,0.00000794922,0.00013493768,0.033509657],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982402,0.00005769869,0.0002598178,0.0003551912,0.0009185234,0.00016860483],"domain_scores_gemma":[0.9983697,0.0010729679,0.00011664475,0.0003490737,0.000055253055,0.00003634496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023629286,0.00015979951,0.00021389122,0.000055668053,0.0000639804,0.000059710717,0.0003461302,0.00025704456,0.000013798786],"category_scores_gemma":[0.0058253696,0.000098770695,0.00018142922,0.00019043505,0.00008662535,0.00003989103,0.0002648189,0.00066447846,0.000048554975],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005347921,0.000015350086,4.0791637e-8,0.00015382022,0.000003000126,0.0000026847438,0.00002699353,0.00046927476,0.061399583,0.019648358,0.9181345,0.0001410642],"study_design_scores_gemma":[0.00011801862,0.000035229627,1.6943059e-7,0.00032723148,0.000038144157,0.0000041690882,0.0000022752924,0.4049287,0.020610606,0.06822178,0.5055138,0.00019986219],"about_ca_topic_score_codex":0.0000024684246,"about_ca_topic_score_gemma":0.0000012044228,"teacher_disagreement_score":0.41262066,"about_ca_system_score_codex":0.000052777817,"about_ca_system_score_gemma":0.00020238059,"threshold_uncertainty_score":0.69739324},"labels":[],"label_agreement":null},{"id":"W4392303327","doi":"10.1016/j.plrev.2024.02.009","title":"From abstract networks to biological realities","year":2024,"lang":"en","type":"review","venue":"Physics of Life Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Computer science; Biological network; Cognitive science; Data science; Psychology; Computational biology; Biology","score_opus":0.2755091466262733,"score_gpt":0.39268369668271536,"score_spread":0.11717455005644206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392303327","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000062970034,0.99618363,0.00022875566,0.000072252034,0.0011703338,0.0010541901,0.00032376536,0.0000599875,0.00090078893],"genre_scores_gemma":[0.000022505972,0.9969474,0.00007194257,0.00046769198,0.0019268446,0.00014669236,0.00011697068,0.000049964907,0.000249962],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973452,0.00029109386,0.0011341459,0.0007514386,0.00020430596,0.00027383026],"domain_scores_gemma":[0.99812907,0.0005252732,0.00058384583,0.000584822,0.000020872725,0.00015611538],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000317904,0.00047903316,0.0025005643,0.000059145827,0.000044719072,0.00007634869,0.00052934926,0.00018662206,0.00004470247],"category_scores_gemma":[0.00058422127,0.00029003114,0.0010568467,0.00056052353,0.000070326234,0.00007721777,0.00024071806,0.00051381584,0.00081031286],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000022365873,0.000033144857,1.3030579e-7,0.0063368008,0.000018219205,0.0000037753484,0.000011241376,0.0000052243035,0.000024377,0.0028895226,0.011964015,0.9787113],"study_design_scores_gemma":[0.000016813583,0.000043652526,3.7999757e-7,0.011202278,0.00023803483,0.0000015346764,0.0000011551523,0.000048753558,0.000002807993,0.0023038199,0.98586196,0.00027882998],"about_ca_topic_score_codex":0.000036038833,"about_ca_topic_score_gemma":0.0000011850074,"teacher_disagreement_score":0.9784325,"about_ca_system_score_codex":0.00004065071,"about_ca_system_score_gemma":0.0000716687,"threshold_uncertainty_score":0.9999677},"labels":[],"label_agreement":null},{"id":"W4392344629","doi":"10.1101/2024.02.25.581959","title":"A model for cortical activity sequences","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Horizon 2020 Framework Programme; Vetenskapsrådet; Deutsche Forschungsgemeinschaft; European Commission","keywords":"Neural activity; Neuroscience; Functional connectivity; Computer science; Sequence (biology); Cortex (anatomy); Physics; Psychology; Biology","score_opus":0.048308350901553825,"score_gpt":0.26527587811803727,"score_spread":0.21696752721648344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392344629","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97919375,0.000088594825,0.014568752,0.0009010979,0.0027330006,0.0010585657,0.00077010505,0.0006681866,0.000017961904],"genre_scores_gemma":[0.9969062,0.00007223539,0.0015392016,0.0005051003,0.000378617,0.000434016,9.416188e-8,0.00011807017,0.000046452213],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971282,0.000106872685,0.0003381954,0.001472068,0.00039658343,0.00055807317],"domain_scores_gemma":[0.99840665,0.0002577903,0.00019768804,0.00076455734,0.00015303526,0.00022026194],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00039437518,0.00047006202,0.00042822235,0.00019062012,0.00023466414,0.00042116927,0.00048722926,0.00042285805,0.0000110152305],"category_scores_gemma":[0.00076571223,0.0004480464,0.00025454725,0.00035014,0.00017529658,0.00013857428,0.00065435254,0.0011056276,0.00006874951],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050269347,0.000079142395,0.0000330051,0.00041266013,0.000018977496,0.000032176293,0.0000037190812,0.0010087219,0.9877813,0.010317083,0.00025921615,0.0000037691095],"study_design_scores_gemma":[0.00013665954,0.000050160503,0.00051909365,0.00013205533,0.000071034505,1.8039172e-8,2.1752723e-7,0.5994598,0.39861357,0.0002520074,0.0003176266,0.0004476992],"about_ca_topic_score_codex":0.000012352606,"about_ca_topic_score_gemma":0.0000024550247,"teacher_disagreement_score":0.59845114,"about_ca_system_score_codex":0.00022896682,"about_ca_system_score_gemma":0.0005811065,"threshold_uncertainty_score":0.9997971},"labels":[],"label_agreement":null},{"id":"W4392373915","doi":"10.1101/2024.02.29.582669","title":"Functional Specialization and Distributed Processing across Marmoset Lateral Prefrontal Subregions","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada First Research Excellence Fund","keywords":"Marmoset; Callithrix; Neuroscience; Macaque; Primate; Stimulus (psychology); Receptive field; Biology; Saccade; Prefrontal cortex; Visual space; Functional specialization; Psychology; Eye movement; Cognition; Cognitive psychology","score_opus":0.023943487493001746,"score_gpt":0.23814577287015798,"score_spread":0.21420228537715624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392373915","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896519,0.00027381498,0.0032862124,0.00062998635,0.0029415118,0.0005678308,0.0020608106,0.00057741354,0.000010474538],"genre_scores_gemma":[0.9984048,0.00010255462,0.00015406373,0.00026533077,0.0008126805,0.00010223217,0.000006590285,0.00010460827,0.000047114903],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9972379,0.000103733,0.00041905747,0.0013024459,0.00042165036,0.00051520875],"domain_scores_gemma":[0.9988933,0.000052527386,0.0002495475,0.00043652082,0.00016984744,0.00019823511],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023317737,0.0004771456,0.00033777903,0.00014031942,0.00044236684,0.000963701,0.00023952343,0.0003739788,0.000040172028],"category_scores_gemma":[0.00018963299,0.00047730483,0.00010881743,0.0005298617,0.00021260478,0.0002546149,0.0008260841,0.00079147454,0.000053883665],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007411781,0.00010309696,0.0019787743,0.00058852625,0.000026716993,0.00010124215,0.00002201088,0.00019767178,0.9940183,0.0019483037,0.0009211364,0.000020058475],"study_design_scores_gemma":[0.0016511043,0.0002084394,0.55339473,0.0016192147,0.00033151472,0.0000015781542,0.000012775731,0.07714687,0.34538472,0.0003729752,0.016722864,0.0031531902],"about_ca_topic_score_codex":0.00001957676,"about_ca_topic_score_gemma":0.0000062002105,"teacher_disagreement_score":0.6486336,"about_ca_system_score_codex":0.00025956487,"about_ca_system_score_gemma":0.000253863,"threshold_uncertainty_score":0.99976784},"labels":[],"label_agreement":null},{"id":"W4392382171","doi":"10.1016/j.plrev.2024.03.002","title":"Beyond task response—Pre-stimulus activity modulates contents of consciousness","year":2024,"lang":"en","type":"review","venue":"Physics of Life Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Ottawa","funders":"","keywords":"Stimulus (psychology); Psychology; Consciousness; Neural correlates of consciousness; Cognitive psychology; Neutral stimulus; Neural activity; Stimulus control; Neuroscience; Cognition","score_opus":0.11023209550822949,"score_gpt":0.36093465804802166,"score_spread":0.2507025625397922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392382171","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009001252,0.9950742,0.00017693016,0.000043868906,0.0010714328,0.0018834322,0.000589966,0.00004518107,0.0002148766],"genre_scores_gemma":[0.0051763714,0.9938502,0.000032091477,0.00009543113,0.00017688295,0.000120725585,0.000022369759,0.00008337517,0.00044259737],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9957169,0.0012595631,0.0014013385,0.0008409199,0.00046218187,0.00031905432],"domain_scores_gemma":[0.9958003,0.0013015356,0.001751039,0.0009133303,0.00009424717,0.00013955147],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000805143,0.000632221,0.0038430595,0.00016049719,0.00006729954,0.00004529791,0.00064755965,0.00019281023,0.000011456944],"category_scores_gemma":[0.0018461654,0.0004468691,0.0014359434,0.0009224832,0.0002771275,0.00020418002,0.00031719427,0.0005468327,0.0001335885],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000096811906,0.00021656742,0.0000013657137,0.056952327,0.00007583956,0.0000064693245,0.000036744506,0.000008036484,0.009318553,0.0014324895,0.0009008123,0.930954],"study_design_scores_gemma":[0.00022601015,0.0002227335,0.000003853577,0.024422953,0.0015039478,0.000013284176,0.0000017558167,0.0008589562,0.00094895804,0.0021020747,0.96903783,0.0006576135],"about_ca_topic_score_codex":0.000017796141,"about_ca_topic_score_gemma":0.0000012484091,"teacher_disagreement_score":0.968137,"about_ca_system_score_codex":0.00007123737,"about_ca_system_score_gemma":0.0002378944,"threshold_uncertainty_score":0.9997983},"labels":[],"label_agreement":null},{"id":"W4392405981","doi":"10.1016/j.nsa.2024.103962","title":"Alteration of global signal topography of self and sensory input regions in schizophrenia","year":2024,"lang":"en","type":"article","venue":"Neuroscience Applied","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Schizophrenia (object-oriented programming); Sensory system; SIGNAL (programming language); Psychology; Cognitive psychology; Neuroscience; Computer science; Psychiatry","score_opus":0.019490928183223434,"score_gpt":0.252968220014433,"score_spread":0.23347729183120955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392405981","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972002,0.000019787887,0.0009778176,0.00016779255,0.0002950292,0.00020788459,0.000021557584,0.000060197344,0.001049765],"genre_scores_gemma":[0.99947876,0.000044331162,0.00014406165,0.00028076267,0.000020167456,0.000008655179,5.4361664e-7,0.000005868803,0.000016881113],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99883616,0.000041864285,0.00024038955,0.00045133274,0.00026639298,0.0001638604],"domain_scores_gemma":[0.9996327,0.000102385544,0.00006410232,0.00014114338,0.000013226219,0.000046444922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012923159,0.000101923586,0.00013104458,0.00014835435,0.00005918271,0.00005349579,0.00013865948,0.00003969672,0.0000027232727],"category_scores_gemma":[0.000043573713,0.000091830356,0.00003767392,0.0012289245,0.00026125467,0.00017380112,0.000060687587,0.00011484676,0.0000014841844],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003078001,0.000041356136,0.00037707086,0.000033618267,3.2335547e-7,0.000007967705,0.00004947713,0.00019659064,0.89993274,0.09692261,0.000012806279,0.0023946515],"study_design_scores_gemma":[0.0010613654,0.00058149506,0.06195302,0.00011630474,0.00002483399,0.0001243245,0.000051491235,0.16960971,0.7369616,0.028161073,0.000905648,0.00044911422],"about_ca_topic_score_codex":0.000008470457,"about_ca_topic_score_gemma":0.000006775442,"teacher_disagreement_score":0.16941312,"about_ca_system_score_codex":0.000016191767,"about_ca_system_score_gemma":0.000048212572,"threshold_uncertainty_score":0.37447333},"labels":[],"label_agreement":null},{"id":"W4392446425","doi":"10.1101/2024.03.01.583035","title":"A comprehensive investigation of intracortical and corticothalamic models of the alpha rhythm","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Neuroscience; Sigmoid function; Limit cycle; Computer science; Alpha (finance); Artificial intelligence; Statistical physics; Artificial neural network; Psychology; Cognitive science; Limit (mathematics); Physics; Mathematics; Developmental psychology","score_opus":0.027514462918228805,"score_gpt":0.22464644580362017,"score_spread":0.19713198288539135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392446425","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99713117,0.00024192013,0.000281744,0.00034184076,0.00121822,0.00053717336,0.00016319982,0.000079256,0.000005466621],"genre_scores_gemma":[0.99922603,0.00015273553,0.00023333028,0.00022829369,0.0000742944,0.000033570053,5.996488e-8,0.000048665912,0.0000030024066],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99806947,0.00015334606,0.0005302745,0.00065696024,0.00036835557,0.00022160601],"domain_scores_gemma":[0.99849665,0.00017066293,0.0003857905,0.000635519,0.00021496676,0.00009640232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013246483,0.00027809956,0.0003851793,0.00013810232,0.000065617736,0.0000669022,0.00025952054,0.00020825388,0.0000035098826],"category_scores_gemma":[0.00021530138,0.00022280133,0.00011490458,0.00044438615,0.0005030557,0.00008874357,0.0007591368,0.0006128601,0.0000032710107],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014509393,0.000024757024,0.0005407552,0.0006609354,0.000020304387,0.00000976697,0.000013041924,0.0004497596,0.9862579,0.011986372,0.000019011039,0.0000029009793],"study_design_scores_gemma":[0.00016105028,0.00004999254,0.05401536,0.00049437786,0.00010282364,1.4660583e-7,0.00000139963,0.08177999,0.86229354,0.00083690626,0.000023243887,0.00024118595],"about_ca_topic_score_codex":0.00002568992,"about_ca_topic_score_gemma":8.571099e-7,"teacher_disagreement_score":0.123964354,"about_ca_system_score_codex":0.000058198802,"about_ca_system_score_gemma":0.00024089133,"threshold_uncertainty_score":0.9085575},"labels":[],"label_agreement":null},{"id":"W4392456524","doi":"10.1016/j.neuron.2024.02.004","title":"An integrative, multiscale view on neural theories of consciousness","year":2024,"lang":"en","type":"article","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":106,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"FP7 Coordination of Research Activities; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Livsvitenskap, Universitetet i Oslo; Norges Forskningsråd; Horizon 2020 Framework Programme; Templeton World Charity Foundation; European Research Council; Ministero dell’Istruzione, dell’Università e della Ricerca; Eesti Teadusagentuur; Seventh Framework Programme; Universitetet i Oslo; European Commission","keywords":"Consciousness; Variety (cybernetics); Cognitive science; Isolation (microbiology); Epistemology; Psychology; Sociology; Cognitive psychology; Computer science; Artificial intelligence; Neuroscience; Philosophy; Biology","score_opus":0.017410324069658173,"score_gpt":0.28686425529777015,"score_spread":0.269453931228112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392456524","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938633,0.000051127987,0.00018254797,0.000531548,0.0023179892,0.00017564757,0.000039313305,0.00016626735,0.0026722578],"genre_scores_gemma":[0.9983993,0.000049131417,0.000010629603,0.0008038458,0.00006186328,0.000009126527,0.0000032318435,0.00002068339,0.0006422001],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99894905,0.00017372334,0.00015832442,0.00038589767,0.00018471599,0.00014830666],"domain_scores_gemma":[0.99930835,0.00036662555,0.00003589362,0.00022336749,0.000017735396,0.000048004356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006977123,0.00013426255,0.00013827345,0.00008194084,0.00007082639,0.00007746535,0.00016822923,0.000034668723,0.000052802407],"category_scores_gemma":[0.0001393437,0.00009298963,0.000062089435,0.00025272253,0.00016205964,0.00021802355,0.000027194692,0.00020463928,0.000034532113],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006152845,0.00008416435,0.00008485549,0.000052255662,0.0000014410452,0.00004981076,0.00018889243,0.00016161292,0.8769588,0.07634445,0.00019753173,0.045814693],"study_design_scores_gemma":[0.00040919555,0.0027203583,0.003750424,0.0002461098,0.00002563073,0.000080993756,0.00010513032,0.2068913,0.761993,0.011770079,0.011591083,0.0004166855],"about_ca_topic_score_codex":0.000011509155,"about_ca_topic_score_gemma":0.000013265926,"teacher_disagreement_score":0.2067297,"about_ca_system_score_codex":0.000011320239,"about_ca_system_score_gemma":0.000015035686,"threshold_uncertainty_score":0.3792007},"labels":[],"label_agreement":null},{"id":"W4392488904","doi":"10.1371/journal.pbio.3002512","title":"Cross-frequency coupling in cortico-hippocampal networks supports the maintenance of sequential auditory information in short-term memory","year":2024,"lang":"en","type":"article","venue":"PLoS Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; International Laboratory for Brain, Music and Sound Research; Institut Universitaire en Santé Mentale de Québec; Centre for Research on Brain Language and Music","funders":"Fonds de Recherche du Québec - Santé; Université de Lyon; Brain and Behavior Research Foundation; Agence Nationale de la Recherche; Centre Lyonnais d'Acoustique, Université de Lyon; CHIST-ERA; Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec; Fondation Brain Canada","keywords":"Neuroscience; Hippocampal formation; Hippocampus; Dentate gyrus; Biology; Coupling (piping); Memory consolidation; Spatial memory; Working memory; Computer science; Cognition","score_opus":0.023589888581800226,"score_gpt":0.27778840260849813,"score_spread":0.2541985140266979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392488904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963454,0.000058803555,0.0005738148,0.00015522006,0.0022324112,0.00026406592,0.000019121831,0.000039686965,0.00031147883],"genre_scores_gemma":[0.9994081,0.000095760995,0.000007724859,0.00023906775,0.0001579291,0.000031541418,0.000025867499,0.000008144111,0.000025850431],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988245,0.0000720093,0.00046940608,0.00024117692,0.00010131156,0.00029163004],"domain_scores_gemma":[0.9994393,0.00026856567,0.00006367776,0.00017441405,0.000028165821,0.000025884428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031104888,0.0001126839,0.00015900427,0.00014098131,0.000047627338,0.000045260003,0.00019099312,0.00012423474,0.000055002052],"category_scores_gemma":[0.00024132314,0.00007940218,0.000048203667,0.00029654097,0.0002522768,0.00029164102,0.00007203331,0.00033199985,0.000011821415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012412583,0.00009178321,0.10210672,0.00014834665,0.000011199517,0.00011963234,0.0005012741,0.027271053,0.8597238,0.004961058,0.00011619958,0.0048248],"study_design_scores_gemma":[0.0003963892,0.00023433554,0.09301714,0.0001788367,0.000013170493,0.000061214305,0.00005784688,0.8837252,0.018957086,0.0029027204,0.00019097728,0.0002650798],"about_ca_topic_score_codex":0.000048181853,"about_ca_topic_score_gemma":0.000090614005,"teacher_disagreement_score":0.85645413,"about_ca_system_score_codex":0.00007647667,"about_ca_system_score_gemma":0.0000644847,"threshold_uncertainty_score":0.32379273},"labels":[],"label_agreement":null},{"id":"W4392542066","doi":"10.1093/nc/niae001","title":"Sources of richness and ineffability for phenomenally conscious states","year":2024,"lang":"en","type":"article","venue":"Neuroscience of Consciousness","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research; Université de Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"Social Sciences and Humanities Research Council of Canada; Good Ventures Foundation; Samsung; Institut de Valorisation des Données; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Consciousness; Physicalism; Epistemology; Perspective (graphical); State (computer science); Cognitive science; Perception; Sociology; Psychology; Philosophy; Computer science; Metaphysics; Artificial intelligence","score_opus":0.02100694591930905,"score_gpt":0.27051975725497046,"score_spread":0.24951281133566142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392542066","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947981,0.00013553484,0.0024297016,0.00078884076,0.0009967114,0.00045104997,0.00015034103,0.00008275051,0.00016693995],"genre_scores_gemma":[0.99927115,0.000081561586,0.000057144956,0.0003537831,0.000025265577,0.000027694781,0.0000010708982,0.000016261794,0.00016604923],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982929,0.00007714681,0.00038811663,0.00063403236,0.00033026552,0.0002774922],"domain_scores_gemma":[0.9982376,0.0011918247,0.00014230164,0.00023373746,0.00010974854,0.00008479259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042654635,0.00016304482,0.00028823444,0.00019261097,0.00014633342,0.00010463265,0.00031199667,0.000045175555,0.0000062235395],"category_scores_gemma":[0.00090191554,0.00013248736,0.00007773646,0.00063759275,0.0014449029,0.00029159346,0.000109672495,0.00010247619,8.1872537e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006408782,0.000079471734,0.0033644424,0.000448639,0.0000016396162,0.0000073648857,0.0002662651,0.00026037756,0.97689176,0.013083159,0.00005715286,0.005475635],"study_design_scores_gemma":[0.0010499561,0.0014569622,0.010357573,0.00022264627,0.00006489607,0.00016305665,0.00029181206,0.14093599,0.7969861,0.041519165,0.006331464,0.00062036136],"about_ca_topic_score_codex":0.000016173633,"about_ca_topic_score_gemma":0.000007956531,"teacher_disagreement_score":0.17990564,"about_ca_system_score_codex":0.000012983431,"about_ca_system_score_gemma":0.00011755495,"threshold_uncertainty_score":0.54026777},"labels":[],"label_agreement":null},{"id":"W4392590770","doi":"10.1007/s10670-024-00792-w","title":"Informational Models of the Phenomenon of Consciousness and the Mechanistic Project in Neuroscience","year":2024,"lang":"en","type":"article","venue":"Erkenntnis","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Phenomenon; Consciousness; Ontology; Cognitive science; Epistemology; Neuroscience; Neurophenomenology; Psychology; Philosophy; Autopoiesis","score_opus":0.02879146779692995,"score_gpt":0.24968138037589507,"score_spread":0.22088991257896512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392590770","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98906934,0.00008130862,0.0021622318,0.0013245179,0.00074950984,0.0006641086,0.00006161173,0.000025613574,0.005861759],"genre_scores_gemma":[0.9994563,0.000039186332,0.000013251652,0.00029015058,0.000008185363,0.000013622009,3.0991157e-7,0.0000038600588,0.00017513585],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927896,0.00007898358,0.00019143519,0.00013707633,0.0002215471,0.00009200404],"domain_scores_gemma":[0.99948174,0.0003060444,0.00006338049,0.00012280761,0.000016404409,0.000009647588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029882047,0.000058834143,0.000088722845,0.00007032191,0.00006926339,0.000038323607,0.00018886568,0.000017125682,0.0000032894454],"category_scores_gemma":[0.00016165599,0.000030160063,0.00003106213,0.0004895211,0.00036434355,0.00019322883,0.000099786776,0.00009714856,6.115553e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057808866,0.000023105811,0.00004732764,0.00011257278,0.0000012151351,0.0000016728717,0.0014544806,0.0021049695,0.14318135,0.8509446,0.000052695574,0.0020181956],"study_design_scores_gemma":[0.0003323079,0.000045634537,0.0005495263,0.000054892113,0.000006802161,0.000022358763,0.000076776516,0.93016696,0.008170721,0.060075615,0.00043865206,0.000059750713],"about_ca_topic_score_codex":0.000043316617,"about_ca_topic_score_gemma":0.000012938132,"teacher_disagreement_score":0.928062,"about_ca_system_score_codex":0.00001065433,"about_ca_system_score_gemma":0.00006841962,"threshold_uncertainty_score":0.1342439},"labels":[],"label_agreement":null},{"id":"W4392703650","doi":"10.7554/elife.82952.sa0","title":"Editor's evaluation: Coordinated head direction representations in mouse anterodorsal thalamic nucleus and retrosplenial cortex","year":2022,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Retrosplenial cortex; Neuroscience; Thalamus; Nucleus; Cortex (anatomy); Chromatin structure remodeling (RSC) complex; Head (geology); Psychology; Biology; Paleontology","score_opus":0.04452562568482754,"score_gpt":0.34104393568076696,"score_spread":0.2965183099959394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392703650","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3909981,0.008719892,0.00021470187,0.16426373,0.34531927,0.01835329,0.007927037,0.002810208,0.061393805],"genre_scores_gemma":[0.23338734,0.022190735,0.000096188516,0.009672898,0.0096587185,0.0015685823,0.006050903,0.0003115975,0.71706307],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9960142,0.00077393075,0.00062035024,0.0011871445,0.0010765673,0.00032780936],"domain_scores_gemma":[0.9985753,0.00031751383,0.00034491273,0.00049693644,0.00018071549,0.00008460025],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000885249,0.00034795405,0.00051947485,0.00032802558,0.00031902466,0.00013243228,0.0002645494,0.00018796971,0.002100285],"category_scores_gemma":[0.0014509625,0.0003399505,0.00012363827,0.0008234965,0.0001062549,0.0002858944,0.00025865028,0.0008368695,0.000024013501],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048193735,0.00012820702,0.00017422892,0.00025204025,0.000009296664,0.000018114997,0.000025465117,0.00005680083,0.016783273,0.00008108849,0.978638,0.0037852721],"study_design_scores_gemma":[0.0019747743,0.0005580561,0.0071104392,0.00059458,0.0002166652,0.00018822304,0.000041508505,0.051206224,0.00080043596,0.00027955647,0.9360645,0.00096502755],"about_ca_topic_score_codex":0.0010888719,"about_ca_topic_score_gemma":0.0012242205,"teacher_disagreement_score":0.6556692,"about_ca_system_score_codex":0.00039532306,"about_ca_system_score_gemma":0.00015004,"threshold_uncertainty_score":0.9999052},"labels":[],"label_agreement":null},{"id":"W4392748034","doi":"10.7554/elife.93060","title":"Aligned and oblique dynamics in recurrent neural networks","year":2024,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Science North","funders":"Israel Science Foundation; Agence Nationale de la Recherche; Deutsche Forschungsgemeinschaft","keywords":"Oblique case; Feed forward; Artificial neural network; Recurrent neural network; Feedforward neural network; Computer science; Relation (database); Stability (learning theory); Representation (politics); Perspective (graphical); Artificial intelligence; Dynamics (music); Physics; Machine learning; Engineering; Control engineering","score_opus":0.016727713033283444,"score_gpt":0.2594451815140629,"score_spread":0.24271746848077944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392748034","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99366695,0.00030631016,0.0010391461,0.0020711194,0.0017647754,0.00015314668,0.000008818698,0.00012221518,0.0008675228],"genre_scores_gemma":[0.99817014,0.00028888226,0.000015363976,0.0011107251,0.00010885769,0.000009683594,0.000005709795,0.000013374981,0.000277275],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919903,0.00005933374,0.00013633515,0.00030494606,0.000120968296,0.00017940132],"domain_scores_gemma":[0.99968845,0.00014143782,0.000016594735,0.00009345666,0.000007559431,0.000052496074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011978479,0.00009128811,0.00008301285,0.00008660372,0.000041778127,0.000113940485,0.000056629375,0.000047737176,0.000009922727],"category_scores_gemma":[0.000093190676,0.0000786535,0.000026779564,0.00029981066,0.000036046622,0.00012786206,0.00005628981,0.00011348183,0.000008972696],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002560637,0.00029892777,0.012393563,0.00031084314,0.0000166781,0.001817575,0.00059164286,0.018405989,0.07478827,0.40007976,0.008971346,0.48206937],"study_design_scores_gemma":[0.00008221064,0.000057677385,0.0011778586,0.00002804781,0.0000021525714,0.000036366237,0.000008756677,0.99627405,0.00047884617,0.00037615522,0.0013852236,0.00009265158],"about_ca_topic_score_codex":0.00001704763,"about_ca_topic_score_gemma":0.00010949335,"teacher_disagreement_score":0.9778681,"about_ca_system_score_codex":0.00006493224,"about_ca_system_score_gemma":0.000011308872,"threshold_uncertainty_score":0.3207397},"labels":[],"label_agreement":null},{"id":"W4392763218","doi":"10.1523/eneuro.0364-23.2024","title":"Parallel Streams of Direct Corticogeniculate Feedback from Mid-level Extrastriate Cortex in the Macaque Monkey","year":2024,"lang":"en","type":"article","venue":"eNeuro","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Biological Sciences","funders":"National Eye Institute; Center for Visual Science; National Institutes of Health","keywords":"Macaque; Extrastriate cortex; Neuroscience; Psychology; Computer science; Artificial intelligence; Visual cortex","score_opus":0.042375696568053706,"score_gpt":0.26218878145890495,"score_spread":0.21981308489085125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392763218","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961324,0.00009960013,0.00011618343,0.0005632887,0.00088008173,0.00023946456,0.00018944213,0.000064268876,0.0017153],"genre_scores_gemma":[0.99853015,0.00018411013,0.000039303737,0.000562869,0.000073110015,0.000016040056,0.000014094865,0.000023910421,0.0005564197],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99848616,0.00019580421,0.00031704517,0.0004726269,0.00029322726,0.00023511126],"domain_scores_gemma":[0.9988205,0.0007471851,0.00007349379,0.00030430278,0.0000115738585,0.00004294164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009835238,0.00016388074,0.00017908057,0.00007737977,0.0000497231,0.00008767777,0.00029772086,0.00005350082,0.00007557848],"category_scores_gemma":[0.00019888728,0.0001128502,0.000113724695,0.00042433877,0.0000693029,0.00011967542,0.000056798453,0.00024048206,0.0000569439],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072962284,0.00008859828,0.0008106393,0.000017193612,0.000008440582,0.00029147053,0.00018647926,0.0008398472,0.9880215,0.0007485886,0.00048774068,0.008426556],"study_design_scores_gemma":[0.0019488257,0.00057533185,0.28261647,0.00026398432,0.00013549012,0.00014828349,0.00010417433,0.1623949,0.53097516,0.010775819,0.00920267,0.00085886254],"about_ca_topic_score_codex":0.00036916306,"about_ca_topic_score_gemma":0.00009653241,"teacher_disagreement_score":0.4570463,"about_ca_system_score_codex":0.000018246912,"about_ca_system_score_gemma":0.000030955023,"threshold_uncertainty_score":0.46018973},"labels":[],"label_agreement":null},{"id":"W4392850352","doi":"10.1038/s41593-024-01588-5","title":"Local origin of excitatory–inhibitory tuning equivalence in a cortical network","year":2024,"lang":"en","type":"article","venue":"Nature Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Azrieli Foundation; Canadian Institutes of Health Research; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; International Development Research Centre; Government of Canada; Wellcome Trust; Wellcome","keywords":"Inhibitory postsynaptic potential; Excitatory postsynaptic potential; Neuroscience; Optogenetics; Receptive field; Cortical neurons; Biology; Physics","score_opus":0.025561048587035777,"score_gpt":0.29613932305125984,"score_spread":0.27057827446422406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392850352","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97985774,0.000566308,0.008620751,0.0005974933,0.007963324,0.00029141892,0.000013292214,0.00021778895,0.0018719072],"genre_scores_gemma":[0.99758875,0.00006551126,0.00007426501,0.0018479654,0.00014771936,0.000008555119,4.366918e-7,0.000019686957,0.00024708366],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974689,0.00017902684,0.00033113247,0.00084626616,0.00065718323,0.00051751506],"domain_scores_gemma":[0.9988563,0.00068819366,0.000061481594,0.00024808897,0.000027993192,0.00011793481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046199452,0.00018160431,0.00019303955,0.00020323839,0.00012714199,0.00009854328,0.00045761935,0.00017319924,0.000015661777],"category_scores_gemma":[0.0010694247,0.00015626624,0.000081107435,0.0020480934,0.00060883525,0.00042926532,0.00015230887,0.0013797234,0.000014997203],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029713216,0.00004242975,0.0005481256,0.00005974149,2.8894794e-7,0.00032859077,0.000046095618,0.0027094407,0.9523332,0.040897764,0.0005376854,0.0024669408],"study_design_scores_gemma":[0.00044877146,0.0006114546,0.02001332,0.0007143205,0.000015060282,0.0003126019,0.000041789805,0.8089559,0.14072023,0.0070838975,0.020407597,0.0006750386],"about_ca_topic_score_codex":0.000005335424,"about_ca_topic_score_gemma":0.000007001079,"teacher_disagreement_score":0.81161296,"about_ca_system_score_codex":0.00006832165,"about_ca_system_score_gemma":0.00014504218,"threshold_uncertainty_score":0.6372352},"labels":[],"label_agreement":null},{"id":"W4392857912","doi":"10.1371/journal.pone.0300075","title":"Stationary stable cross-correlation pattern and task specific deviations in unresponsive wakefulness syndrome as well as clinically healthy subjects","year":2024,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Consejo Nacional de Ciencia y Tecnología","keywords":"Wakefulness; Correlation; Electroencephalography; Audiology; Neuroscience; Sleep (system call); Psychology; Medicine; Mathematics; Computer science","score_opus":0.05299736214646823,"score_gpt":0.2981872335737613,"score_spread":0.2451898714272931,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392857912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99593794,0.000111661975,0.0006928413,0.0013684658,0.00037826583,0.000513632,0.00007758805,0.00010809348,0.0008114838],"genre_scores_gemma":[0.9956072,0.00029436147,0.00006989584,0.0014043492,0.00005464375,0.000056893732,0.000054209155,0.00002977534,0.0024286946],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99810624,0.00020173808,0.0004411687,0.000583172,0.00040123425,0.00026641993],"domain_scores_gemma":[0.9982261,0.0013239452,0.00009259635,0.00018541061,0.000069964655,0.00010194752],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003597265,0.00014447806,0.0001923552,0.0002391646,0.00018287794,0.00023982218,0.00009909622,0.00009293428,0.00038993492],"category_scores_gemma":[0.00059552636,0.0001459255,0.000033685566,0.00055535976,0.00008536559,0.00051223335,0.000058702026,0.00034602627,0.001452769],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004463847,0.008964243,0.28020567,0.002687116,0.0001961801,0.0052421116,0.0038113957,0.004581958,0.61790717,0.0476915,0.0018789456,0.022369852],"study_design_scores_gemma":[0.0032660856,0.0045746476,0.6923845,0.0016533961,0.00012428088,0.0004893615,0.00030241522,0.20957936,0.027540855,0.051661413,0.0069174166,0.0015062568],"about_ca_topic_score_codex":0.000051581515,"about_ca_topic_score_gemma":0.00003409075,"teacher_disagreement_score":0.5903663,"about_ca_system_score_codex":0.0001075071,"about_ca_system_score_gemma":0.0001418836,"threshold_uncertainty_score":0.99932474},"labels":[],"label_agreement":null},{"id":"W4392931885","doi":"10.1109/ojemb.2024.3377923","title":"Bayesian Inference of Hidden Cognitive Performance and Arousal States in Presence of Music","year":2024,"lang":"en","type":"article","venue":"IEEE Open Journal of Engineering in Medicine and Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University; Directorate for Computer and Information Science and Engineering; New York University; National Science Foundation","keywords":"Inference; Bayesian inference; Arousal; Cognitive psychology; Cognition; Bayesian probability; Psychology; Computer science; Artificial intelligence; Speech recognition; Social psychology; Neuroscience","score_opus":0.047369446480185505,"score_gpt":0.31292445894692483,"score_spread":0.26555501246673935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392931885","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998477,0.00031723396,0.00066601497,0.00014061859,0.00025797842,0.00007471874,0.0000028002153,0.000001594925,0.00006203954],"genre_scores_gemma":[0.99821395,0.0016267062,0.000068606576,0.000040192903,0.00003649925,0.0000011995513,3.998831e-7,0.0000034777559,0.00000898895],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994309,0.000033791293,0.0002945741,0.00010175105,0.000050715385,0.00008825065],"domain_scores_gemma":[0.99921596,0.0006184663,0.000078299956,0.000030471738,0.00002840606,0.000028396911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034247484,0.000062868596,0.00022822166,0.00022292564,0.0000065410895,0.0000072120724,0.00010550444,0.00003152715,0.000006314565],"category_scores_gemma":[0.0003831017,0.000042317453,0.00000852311,0.00020506531,0.00011699615,0.00014468048,0.00003725192,0.00018002612,6.8314016e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021425316,0.000042067528,0.04062959,0.0005105213,0.000015021655,0.00011023809,0.0018044239,0.0017704142,0.9186778,0.0007044731,0.000049882678,0.03547129],"study_design_scores_gemma":[0.005317235,0.012134196,0.16953744,0.01456391,0.00007055877,0.001055909,0.0010149266,0.6921569,0.099899344,0.0033744301,0.00038598772,0.00048915425],"about_ca_topic_score_codex":0.000050998548,"about_ca_topic_score_gemma":0.000013895778,"teacher_disagreement_score":0.81877846,"about_ca_system_score_codex":0.00000577681,"about_ca_system_score_gemma":0.000023185728,"threshold_uncertainty_score":0.17256556},"labels":[],"label_agreement":null},{"id":"W4393032872","doi":"10.32920/25413334","title":"Neural Dynamics of Inhibitory Control in Musicians with Absolute Pitch: Theta Synchrony as an Oscillatory Signature of Information Conflict","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; Toronto Metropolitan University; University of Toronto; Hospital for Sick Children","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Signature (topology); Dynamics (music); Inhibitory control; Inhibitory postsynaptic potential; Theta rhythm; Control (management); Neuroscience; Psychology; Physics; Mathematics; Computer science; Electroencephalography; Artificial intelligence; Acoustics; Geometry","score_opus":0.011541757556330896,"score_gpt":0.23307115451886143,"score_spread":0.22152939696253054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393032872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9869471,0.00006472248,0.00054218207,0.0005281533,0.0014161041,0.001080242,0.00043369806,0.00012457065,0.00886319],"genre_scores_gemma":[0.9982062,0.00003672696,0.00003425527,0.0012338998,0.00006877251,0.000027213393,0.000074897354,0.000036675283,0.00028134324],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976631,0.00015536879,0.0007694851,0.0005281139,0.0005923462,0.00029161893],"domain_scores_gemma":[0.9984651,0.00017113419,0.0005630704,0.000563215,0.0001533727,0.00008409472],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003027072,0.00038139694,0.0005623929,0.00051195733,0.000042539246,0.00008876238,0.0004089279,0.00042228,0.000035838268],"category_scores_gemma":[0.000097396965,0.00029452192,0.00015219503,0.00035587803,0.00025629508,0.0004056409,0.00033492502,0.0012068967,0.000009845783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033711125,0.0011030955,0.0017548447,0.0075440095,0.00026826203,0.00026404008,0.009123617,0.2965055,0.45579585,0.19635585,0.0013813374,0.026532464],"study_design_scores_gemma":[0.0010914863,0.0007489712,0.0019285459,0.0004555088,0.000083304214,0.00003424868,0.000347145,0.98440874,0.005176073,0.004912969,0.0002891857,0.0005238525],"about_ca_topic_score_codex":0.0004659443,"about_ca_topic_score_gemma":0.00064365583,"teacher_disagreement_score":0.6879032,"about_ca_system_score_codex":0.00016549109,"about_ca_system_score_gemma":0.00028987395,"threshold_uncertainty_score":0.9999507},"labels":[],"label_agreement":null},{"id":"W4393032935","doi":"10.32920/25413334.v1","title":"Neural Dynamics of Inhibitory Control in Musicians with Absolute Pitch: Theta Synchrony as an Oscillatory Signature of Information Conflict","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; Toronto Metropolitan University; University of Toronto; Hospital for Sick Children","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inhibitory postsynaptic potential; Signature (topology); Dynamics (music); Theta rhythm; Neuroscience; Inhibitory control; Control (management); Psychology; Computer science; Mathematics; Artificial intelligence; Electroencephalography","score_opus":0.011541757556330896,"score_gpt":0.23307115451886143,"score_spread":0.22152939696253054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393032935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9869471,0.00006472248,0.00054218207,0.0005281533,0.0014161041,0.001080242,0.00043369806,0.00012457065,0.00886319],"genre_scores_gemma":[0.9982062,0.00003672696,0.00003425527,0.0012338998,0.00006877251,0.000027213393,0.000074897354,0.000036675283,0.00028134324],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976631,0.00015536879,0.0007694851,0.0005281139,0.0005923462,0.00029161893],"domain_scores_gemma":[0.9984651,0.00017113419,0.0005630704,0.000563215,0.0001533727,0.00008409472],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003027072,0.00038139694,0.0005623929,0.00051195733,0.000042539246,0.00008876238,0.0004089279,0.00042228,0.000035838268],"category_scores_gemma":[0.000097396965,0.00029452192,0.00015219503,0.00035587803,0.00025629508,0.0004056409,0.00033492502,0.0012068967,0.000009845783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033711125,0.0011030955,0.0017548447,0.0075440095,0.00026826203,0.00026404008,0.009123617,0.2965055,0.45579585,0.19635585,0.0013813374,0.026532464],"study_design_scores_gemma":[0.0010914863,0.0007489712,0.0019285459,0.0004555088,0.000083304214,0.00003424868,0.000347145,0.98440874,0.005176073,0.004912969,0.0002891857,0.0005238525],"about_ca_topic_score_codex":0.0004659443,"about_ca_topic_score_gemma":0.00064365583,"teacher_disagreement_score":0.6879032,"about_ca_system_score_codex":0.00016549109,"about_ca_system_score_gemma":0.00028987395,"threshold_uncertainty_score":0.9999507},"labels":[],"label_agreement":null},{"id":"W4393064360","doi":"10.1093/cercor/bhae083","title":"Hippocampal ripples coincide with “up-state” and spindles in retrosplenial cortex","year":2024,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Canadian Institutes of Health Research; Alberta Innovates; Alberta Prion Research Institute; Natural Sciences and Engineering Research Council of Canada; European Commission; University of Lethbridge; National Science Foundation","keywords":"Retrosplenial cortex; Neuroscience; Hippocampal formation; Subiculum; Neocortex; Memory consolidation; Hippocampus; Local field potential; Cortex (anatomy); Psychology; Dentate gyrus","score_opus":0.01605781269133852,"score_gpt":0.24300500828887964,"score_spread":0.22694719559754112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393064360","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99674195,0.00013452562,0.00011918585,0.0004184014,0.0008274376,0.00026924597,0.00005591055,0.00013044124,0.0013029071],"genre_scores_gemma":[0.99655074,0.00008707261,0.000063878215,0.0004652582,0.00010706227,0.000015562868,0.000011688884,0.00003620312,0.0026625234],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983487,0.00006187728,0.00024804316,0.00068180927,0.0002825906,0.00037697118],"domain_scores_gemma":[0.9994909,0.00012759553,0.000052538693,0.00019178042,0.000019619614,0.00011753481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011387127,0.00022501418,0.00021723882,0.00015966604,0.000112714406,0.00024943025,0.0001404224,0.00006909314,0.00015136934],"category_scores_gemma":[0.0000728921,0.00017382453,0.00004607315,0.00044634484,0.0002117846,0.00033469117,0.000080234946,0.0003321238,0.00008593288],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072884,0.00011023064,0.047366537,0.00026324397,0.00002590343,0.0015033757,0.00081056537,0.000047953516,0.8848695,0.020535719,0.002835523,0.040902592],"study_design_scores_gemma":[0.0029721654,0.002189534,0.85600495,0.0005932636,0.00006814973,0.0014724773,0.00026167155,0.06286217,0.04093745,0.01746846,0.013589133,0.0015805503],"about_ca_topic_score_codex":0.00009614862,"about_ca_topic_score_gemma":0.0006463895,"teacher_disagreement_score":0.8439321,"about_ca_system_score_codex":0.00006431842,"about_ca_system_score_gemma":0.0000790025,"threshold_uncertainty_score":0.70883584},"labels":[],"label_agreement":null},{"id":"W4393160601","doi":"10.1523/jneurosci.2223-23.2024","title":"The Brain’s Topographical Organization Shapes Dynamic Interaction Patterns That Support Flexible Behavior Based on Rules and Long-Term Knowledge","year":2024,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; McGill University; Montreal Neurological Institute and Hospital","funders":"Institute of Psychology, Chinese Academy of Sciences; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Default mode network; Flexibility (engineering); Cognition; Neuroscience; Subnetwork; Working memory; Computer science; Cognitive flexibility; Psychology; Cognitive psychology; Adaptive behavior; Term (time); Developmental psychology","score_opus":0.03397461538828143,"score_gpt":0.31399913304386395,"score_spread":0.2800245176555825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393160601","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99064654,0.00002944466,0.0028476326,0.0033699113,0.002858424,0.00014154789,0.000011013645,0.00004426635,0.00005124401],"genre_scores_gemma":[0.99823946,0.00025286837,0.0000072816288,0.001129392,0.00007701524,0.000003487408,0.0000010258146,0.000020683112,0.00026880443],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985439,0.00013107408,0.00029588537,0.0003553717,0.00044876963,0.00022499086],"domain_scores_gemma":[0.9988665,0.0006396078,0.00017324396,0.00013275976,0.000075094824,0.00011278112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003433969,0.00015121358,0.0001237954,0.00029661748,0.0003985176,0.00081862824,0.00033456442,0.000046915306,0.000021433896],"category_scores_gemma":[0.00049720955,0.00009664149,0.00008496439,0.0005863569,0.00019806651,0.0005620678,0.00006879574,0.0004046853,0.000008353972],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007754456,0.0002242155,0.023071732,0.00005042361,0.0000017250585,0.00037810355,0.00009914007,0.00011359136,0.9409218,0.0007940828,0.00015992469,0.034107726],"study_design_scores_gemma":[0.00030580827,0.0016175086,0.8926936,0.00021503228,0.000041190404,0.0018844154,0.000027353319,0.0827997,0.01822571,0.00017451297,0.0017756609,0.00023950392],"about_ca_topic_score_codex":7.87526e-7,"about_ca_topic_score_gemma":0.000007679523,"teacher_disagreement_score":0.92269605,"about_ca_system_score_codex":0.000058349466,"about_ca_system_score_gemma":0.000083582316,"threshold_uncertainty_score":0.7894051},"labels":[],"label_agreement":null},{"id":"W4393220520","doi":"10.1101/2024.03.21.586122","title":"Operation regimes of spinal circuits controlling locomotion and role of supraspinal drives and sensory feedback","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Sensory system; Neuroscience; Control theory (sociology); Computer science; Psychology; Control (management); Artificial intelligence","score_opus":0.01660720409608426,"score_gpt":0.22674908835775448,"score_spread":0.21014188426167021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393220520","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99677885,0.0014310533,0.0003760512,0.0001796499,0.00052222714,0.0005042552,0.000111876376,0.000083356914,0.000012668128],"genre_scores_gemma":[0.99891096,0.0005543112,0.00026352593,0.000047333484,0.00014659112,0.000023496541,1.5848148e-7,0.000047108486,0.000006518494],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980788,0.00014755841,0.00047520583,0.0007853645,0.0002862397,0.00022679032],"domain_scores_gemma":[0.9989066,0.00008066031,0.00036659677,0.00035862444,0.0001851574,0.00010234856],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003295184,0.00030818788,0.0004585198,0.00025929546,0.000096911695,0.0001486951,0.00014819973,0.00024518254,0.0000056324857],"category_scores_gemma":[0.00022769847,0.00030966543,0.00007657607,0.0002106598,0.00024487588,0.00015073178,0.0002990481,0.00044269412,0.0000036464521],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005061305,0.000045705736,0.00090931414,0.00071043277,0.000024231394,0.000009747843,0.000015450392,0.00014513146,0.99283844,0.005209429,0.000004342899,0.000037139886],"study_design_scores_gemma":[0.00043387446,0.0002555188,0.03420234,0.0007410378,0.000103523686,2.1016021e-7,0.000008574066,0.018623035,0.94513184,0.000100769175,0.0000689073,0.0003303807],"about_ca_topic_score_codex":0.000024554722,"about_ca_topic_score_gemma":0.000001075195,"teacher_disagreement_score":0.047706634,"about_ca_system_score_codex":0.00004633738,"about_ca_system_score_gemma":0.00013708789,"threshold_uncertainty_score":0.99993557},"labels":[],"label_agreement":null},{"id":"W4393221246","doi":"10.3389/fncir.2024.1389110","title":"Agranular frontal cortical microcircuit underlying cognitive control in macaques","year":2024,"lang":"en","type":"article","venue":"Frontiers in Neural Circuits","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Eye Institute; National Institute of Mental Health; Natural Sciences and Engineering Research Council of Canada","keywords":"Neuroscience; GABAergic; Sensory system; Cortex (anatomy); Cognition; Neocortex; Frontal cortex; Psychology; Biology; Inhibitory postsynaptic potential","score_opus":0.032126342794514706,"score_gpt":0.2728104255700471,"score_spread":0.24068408277553238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393221246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97716206,0.001443358,0.013958488,0.0004857894,0.004159821,0.00076085306,0.000079396144,0.00022450769,0.0017257215],"genre_scores_gemma":[0.99774027,0.00007531197,0.000017489607,0.0017346409,0.000096601936,0.00005463028,0.000014276089,0.00004792356,0.00021888442],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973389,0.00032189215,0.00045890934,0.0008743692,0.00034998186,0.000655944],"domain_scores_gemma":[0.99920195,0.00045463958,0.000052771964,0.00015054487,0.000016682221,0.00012343659],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023149513,0.00029329496,0.00038982034,0.00047598695,0.000116745105,0.00021644693,0.0002467288,0.0001609465,0.000031497253],"category_scores_gemma":[0.00036516445,0.00028767413,0.00014182388,0.00072010985,0.00019059563,0.00049443136,0.000039458406,0.0008655044,0.00004518914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029485894,0.0003123792,0.07412481,0.00023858796,0.00004431,0.005339614,0.0013602782,0.00024313811,0.7249551,0.0028868283,0.002881897,0.18731819],"study_design_scores_gemma":[0.007329943,0.00070894195,0.17028125,0.001122035,0.00014634215,0.000633608,0.0012427667,0.7714058,0.023133215,0.020007761,0.001958814,0.0020295158],"about_ca_topic_score_codex":0.00004839561,"about_ca_topic_score_gemma":0.000054161603,"teacher_disagreement_score":0.7711627,"about_ca_system_score_codex":0.0002445991,"about_ca_system_score_gemma":0.000058365855,"threshold_uncertainty_score":0.99995756},"labels":[],"label_agreement":null},{"id":"W4393236387","doi":"10.1101/2024.03.24.585592","title":"Heterogeneity in slow synaptic transmission diversifies Purkinje cell timing","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Fonds de Recherche du Québec - Santé; McGill University Health Centre; Canadian Institutes of Health Research; Canada First Research Excellence Fund; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Transmission (telecommunications); Computer science; Purkinje cell; Neuroscience; Biology; Cerebellum; Telecommunications","score_opus":0.02676319366731993,"score_gpt":0.22796445016441594,"score_spread":0.201201256497096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393236387","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948783,0.00064456154,0.00044444835,0.00037637696,0.002389861,0.0006411851,0.00013351819,0.00044782396,0.000043939905],"genre_scores_gemma":[0.99846685,0.00041902383,0.00044076503,0.0002852007,0.00017948876,0.00006928196,2.0057546e-7,0.00011599474,0.000023181039],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9966053,0.0002135072,0.00050574745,0.0015774505,0.00047787238,0.0006201624],"domain_scores_gemma":[0.99856776,0.00014273962,0.00020781856,0.00078521896,0.00007372123,0.00022271348],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003916926,0.00057222485,0.00048390173,0.00048089557,0.00018766942,0.00035837965,0.0006168111,0.0004892607,0.000033261556],"category_scores_gemma":[0.00013588669,0.00057523174,0.00023396086,0.00066712085,0.0001182189,0.00015843933,0.00080641976,0.0013314876,0.00017225038],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000337204,0.00011402743,0.00048814729,0.0007348292,0.000015062135,0.00032451854,0.000014230097,0.00051373575,0.9974157,0.00023945331,0.000096376556,0.0000101646665],"study_design_scores_gemma":[0.00034505952,0.00007262017,0.004793994,0.0006583809,0.00008103718,5.5489224e-8,0.000002157954,0.021889655,0.96968734,0.000028127206,0.0016447239,0.0007968482],"about_ca_topic_score_codex":0.000047014277,"about_ca_topic_score_gemma":0.0000028961604,"teacher_disagreement_score":0.027728396,"about_ca_system_score_codex":0.00031994306,"about_ca_system_score_gemma":0.00022169168,"threshold_uncertainty_score":0.9996699},"labels":[],"label_agreement":null},{"id":"W4393275896","doi":"10.1142/9789811285073_0006","title":"Actin Networks Voltage Circuits","year":2024,"lang":"en","type":"book-chapter","venue":"WORLD SCIENTIFIC eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Electronic circuit; Voltage; Computer science; Electrical engineering; Engineering","score_opus":0.0393669639121078,"score_gpt":0.24104891265411754,"score_spread":0.20168194874200973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393275896","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00010099247,0.00013427048,0.00025032047,0.00014247718,0.01668001,0.00049797137,0.00009080876,0.0004216291,0.9816815],"genre_scores_gemma":[0.06034073,0.000002598266,0.000004258254,0.000567605,0.000636214,0.00001754166,0.000032670585,0.00013263526,0.93826574],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99642307,0.000022824719,0.0004693967,0.0017202045,0.00078993506,0.0005745679],"domain_scores_gemma":[0.99835247,0.00021676812,0.00023511528,0.00091806863,0.00006326483,0.00021430397],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00043749515,0.0005079667,0.00038437152,0.0007651385,0.0005991842,0.0011356605,0.00062274246,0.00023289803,0.00077114854],"category_scores_gemma":[0.000029105038,0.0004678414,0.00034501243,0.00016863312,0.0005635667,0.000090568625,0.0003211527,0.0011706919,0.0022274952],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009224935,0.000010897283,4.3247638e-7,0.00006869989,0.000015608271,0.00030455086,0.00006062912,0.00007472444,0.045668207,0.843475,0.09052017,0.01979189],"study_design_scores_gemma":[0.00008452693,0.000023928209,8.792943e-7,0.0002540059,0.000050037346,0.000040316863,0.0000015385028,0.0042326692,0.002683609,0.050308257,0.94183326,0.00048699032],"about_ca_topic_score_codex":0.0000016637133,"about_ca_topic_score_gemma":0.00044928901,"teacher_disagreement_score":0.85131305,"about_ca_system_score_codex":0.00013761088,"about_ca_system_score_gemma":0.00009071527,"threshold_uncertainty_score":0.99990124},"labels":[],"label_agreement":null},{"id":"W4393373629","doi":"10.1371/journal.pbio.3002564","title":"Visual perception of highly memorable images is mediated by a distributed network of ventral visual regions that enable a late memorability response","year":2024,"lang":"en","type":"article","venue":"PLoS Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; Vector Institute; Western University","funders":"Army Research Office; Office of Naval Research; Multidisciplinary University Research Initiative; McGovern Institute for Brain Research, Massachusetts Institute of Technology; MathWorks; Massachusetts Institute of Technology; Office of Defense Programs; National Science Foundation","keywords":"Visual cortex; Magnetoencephalography; Fusiform gyrus; Functional magnetic resonance imaging; Temporal cortex; Neuroscience; Perception; Visual perception; Temporal lobe; Superior temporal sulcus; Cortex (anatomy); Visual memory; Visual processing; Visual system; Sulcus; Biology; Psychology; Cognition; Electroencephalography","score_opus":0.026330787717394142,"score_gpt":0.28261529225711846,"score_spread":0.2562845045397243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393373629","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99535793,0.00011839987,0.00042086415,0.0023816659,0.00040782217,0.0002786862,0.000877089,0.00011903346,0.0000385304],"genre_scores_gemma":[0.9989469,0.00017117016,0.000030286601,0.00022540706,0.000062093924,0.000021122698,0.00022397237,0.0000182635,0.0003007725],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979257,0.0006254821,0.00036197976,0.00053376734,0.00016669538,0.00038639418],"domain_scores_gemma":[0.99852157,0.0009767986,0.00014663558,0.00020670837,0.00007168061,0.000076591874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044211335,0.00017403958,0.00034747404,0.000079684854,0.0000955112,0.000024953213,0.0001679255,0.00021624085,0.00015889073],"category_scores_gemma":[0.000684764,0.0001422114,0.0001230139,0.00061564945,0.0003874688,0.000145909,0.00009402935,0.00025730982,0.000025104035],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008528342,0.00021902878,0.0012269514,0.0000684915,0.000023331888,0.000008871747,0.00010120938,0.00003655583,0.9925923,0.00014906308,0.0045595453,0.00016183408],"study_design_scores_gemma":[0.0006035366,0.0016420473,0.007427604,0.00011497617,0.00009335859,0.000018522203,0.00009328921,0.059461426,0.92351437,0.003065278,0.003648718,0.00031685736],"about_ca_topic_score_codex":0.00006999952,"about_ca_topic_score_gemma":0.0000040327163,"teacher_disagreement_score":0.069077894,"about_ca_system_score_codex":0.000075391465,"about_ca_system_score_gemma":0.00007670589,"threshold_uncertainty_score":0.57992125},"labels":[],"label_agreement":null},{"id":"W4393493596","doi":"10.5281/zenodo.4650288","title":"In silico voltage-sensitive dye imaging reveals the emergent dynamics of cortical populations: figure data","year":2021,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute","funders":"","keywords":"In silico; Voltage-sensitive dye; Dynamics (music); Biology; Cartography; Neuroscience; Geography; Psychology; Electrophysiology; Genetics","score_opus":0.07721075423326476,"score_gpt":0.3027024713125985,"score_spread":0.22549171707933371,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393493596","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014503,0.000049622915,0.0004893395,0.0026350147,0.00050648773,0.0005984837,0.99316967,0.000092669994,0.0010083913],"genre_scores_gemma":[0.016384108,0.0003211824,0.000020160955,0.00057837594,0.00014104582,7.442396e-8,0.98169106,0.0004742997,0.00038971656],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968432,0.000897366,0.00052853697,0.0007990472,0.0005820818,0.0003497782],"domain_scores_gemma":[0.9976899,0.00012874062,0.00028826605,0.0014687271,0.00032811024,0.00009626874],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000809593,0.00021464024,0.00026741452,0.00024291147,0.0011041593,0.0004001663,0.00179242,0.00009684885,0.004363043],"category_scores_gemma":[0.005842096,0.00018968747,0.00006341687,0.000942142,0.00025058113,0.00030419062,0.003128057,0.00078878645,0.0007624603],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031212257,0.00013410459,0.0000021184733,0.000082128085,0.000009152303,0.00008551736,0.000038968195,0.0000671895,0.005895715,0.0012246997,0.99001265,0.0024165341],"study_design_scores_gemma":[0.00020174694,0.000054422002,0.00029556238,0.00009489806,0.000034514236,0.00012365215,0.00015329233,0.014992636,0.0001638725,0.0002145076,0.9834647,0.0002061612],"about_ca_topic_score_codex":0.00009217011,"about_ca_topic_score_gemma":0.00002031684,"teacher_disagreement_score":0.014933809,"about_ca_system_score_codex":0.00018087903,"about_ca_system_score_gemma":0.000010991122,"threshold_uncertainty_score":0.9965471},"labels":[],"label_agreement":null},{"id":"W4393530231","doi":"10.5281/zenodo.4734581","title":"Dataset: Measuring stimulus-evoked neurophysiological differentiation in distinct populations of neurons in mouse visual cortex","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Neuroscience; Neurophysiology; Stimulus (psychology); Visual cortex; Psychology; Biology; Cognitive psychology","score_opus":0.10780587226537137,"score_gpt":0.3088353958042361,"score_spread":0.20102952353886472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393530231","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.049424846,0.000009077637,4.0030028e-7,0.000017119664,0.00019866317,0.000342144,0.9499847,0.00001905218,0.0000039401634],"genre_scores_gemma":[0.111018725,0.000009583562,0.0000016054507,0.00011299192,0.000055012977,0.0000780187,0.8886821,0.000020456971,0.00002145539],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.997637,0.0003701728,0.00053950195,0.00077057164,0.00038052016,0.00030223938],"domain_scores_gemma":[0.9987012,0.000367316,0.0003295444,0.00049202674,0.00003997292,0.00006991555],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003766359,0.00029890728,0.00042282077,0.00028176192,0.000075337666,0.00006760905,0.00039884285,0.00019603405,0.008363624],"category_scores_gemma":[0.004850708,0.00028682954,0.00009025341,0.00054463634,0.000017640321,0.00016090194,0.00043597913,0.0006458413,0.00012422512],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052942043,0.0005230946,0.00008056416,0.00033156728,0.0000023959371,0.00021763024,0.0000037413065,0.0008413978,0.04789246,0.0000019282224,0.94989437,0.00015793114],"study_design_scores_gemma":[0.0025992207,0.0007882618,0.6738707,0.0038106153,0.00007537823,0.000045579534,0.000014576079,0.073141545,0.006703485,0.00010774135,0.23668121,0.0021616975],"about_ca_topic_score_codex":0.000101923164,"about_ca_topic_score_gemma":0.0007875457,"teacher_disagreement_score":0.71321315,"about_ca_system_score_codex":0.00006783844,"about_ca_system_score_gemma":0.000058175912,"threshold_uncertainty_score":0.9999584},"labels":[],"label_agreement":null},{"id":"W4393614933","doi":"10.5281/zenodo.4734580","title":"Dataset: Measuring stimulus-evoked neurophysiological differentiation in distinct populations of neurons in mouse visual cortex","year":2021,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Neuroscience; Neurophysiology; Stimulus (psychology); Visual cortex; Visual evoked potentials; Psychology; Biology; Cognitive psychology","score_opus":0.08231084685846243,"score_gpt":0.28857211050391,"score_spread":0.20626126364544758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393614933","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17489934,0.000008748684,0.00008174116,0.00008811196,0.00022741755,0.00048775203,0.8239779,0.00009770398,0.00013129106],"genre_scores_gemma":[0.26154938,0.00008034185,0.000006375634,0.000072309194,0.00005176391,1.4635289e-7,0.73787004,0.00032067165,0.000048958485],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99643254,0.0011671351,0.0006004487,0.0008689103,0.0005369356,0.00039405376],"domain_scores_gemma":[0.99870676,0.00011122349,0.00030374527,0.0006168873,0.00014609247,0.000115290975],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00029769176,0.00026662333,0.0003659025,0.00054758607,0.0006066753,0.0003335848,0.00090782484,0.00014190549,0.0019007358],"category_scores_gemma":[0.003204132,0.00027653898,0.000071458366,0.000991177,0.00015759825,0.00023256219,0.001462912,0.00074227026,0.00038468474],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027475946,0.0015491621,0.000023603867,0.0003019135,0.000011428733,0.00020585737,0.00005731493,0.001347614,0.33416498,0.00019302117,0.657589,0.0042813215],"study_design_scores_gemma":[0.0016959751,0.0007960117,0.03992125,0.00019940635,0.000046720317,0.00009309134,0.000048071895,0.01600626,0.0024418447,0.00014891273,0.93780017,0.00080228824],"about_ca_topic_score_codex":0.00011234503,"about_ca_topic_score_gemma":0.000026275498,"teacher_disagreement_score":0.33172312,"about_ca_system_score_codex":0.00015401238,"about_ca_system_score_gemma":0.000008430158,"threshold_uncertainty_score":0.9999687},"labels":[],"label_agreement":null},{"id":"W4393805880","doi":"10.5281/zenodo.5781567","title":"Dataset: Measuring stimulus-evoked neurophysiological differentiation in distinct populations of neurons in mouse visual cortex","year":2021,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Neuroscience; Stimulus (psychology); Neurophysiology; Visual cortex; Psychology; Biology; Cognitive psychology","score_opus":0.08231084685846243,"score_gpt":0.28857211050391,"score_spread":0.20626126364544758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393805880","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17489934,0.000008748684,0.00008174116,0.00008811196,0.00022741755,0.00048775203,0.8239779,0.00009770398,0.00013129106],"genre_scores_gemma":[0.26154938,0.00008034185,0.000006375634,0.000072309194,0.00005176391,1.4635289e-7,0.73787004,0.00032067165,0.000048958485],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99643254,0.0011671351,0.0006004487,0.0008689103,0.0005369356,0.00039405376],"domain_scores_gemma":[0.99870676,0.00011122349,0.00030374527,0.0006168873,0.00014609247,0.000115290975],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00029769176,0.00026662333,0.0003659025,0.00054758607,0.0006066753,0.0003335848,0.00090782484,0.00014190549,0.0019007358],"category_scores_gemma":[0.003204132,0.00027653898,0.000071458366,0.000991177,0.00015759825,0.00023256219,0.001462912,0.00074227026,0.00038468474],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027475946,0.0015491621,0.000023603867,0.0003019135,0.000011428733,0.00020585737,0.00005731493,0.001347614,0.33416498,0.00019302117,0.657589,0.0042813215],"study_design_scores_gemma":[0.0016959751,0.0007960117,0.03992125,0.00019940635,0.000046720317,0.00009309134,0.000048071895,0.01600626,0.0024418447,0.00014891273,0.93780017,0.00080228824],"about_ca_topic_score_codex":0.00011234503,"about_ca_topic_score_gemma":0.000026275498,"teacher_disagreement_score":0.33172312,"about_ca_system_score_codex":0.00015401238,"about_ca_system_score_gemma":0.000008430158,"threshold_uncertainty_score":0.9999687},"labels":[],"label_agreement":null},{"id":"W4393850614","doi":"10.7554/elife.90080.2","title":"Aberrant cortical activity, functional connectivity, and neural assembly architecture after photothrombotic stroke in mice","year":2024,"lang":"en","type":"preprint","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta","funders":"","keywords":"Forelimb; Somatosensory system; Neuroscience; Barrel cortex; Calcium imaging; Cortex (anatomy); Stroke (engine); Neuroplasticity; Cerebral cortex; Biology; Psychology; Medicine; Calcium; Internal medicine; Physics","score_opus":0.029387245901602115,"score_gpt":0.26790767244555236,"score_spread":0.23852042654395025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393850614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920239,0.00012377254,0.00038126987,0.0030157296,0.003090371,0.000576399,0.00024331671,0.00014612087,0.00039912428],"genre_scores_gemma":[0.997323,0.00005531025,0.00004404296,0.0014767103,0.0003357257,0.00012399681,0.00001075663,0.00005900742,0.0005714546],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9969863,0.00031759005,0.00031487786,0.001290594,0.0006314873,0.0004591407],"domain_scores_gemma":[0.99857265,0.00081167766,0.00010391985,0.0003144267,0.00003323533,0.00016409867],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0002587891,0.00044495187,0.00047264888,0.00028902353,0.00009629234,0.00030131644,0.00015564621,0.00032977038,0.000063404834],"category_scores_gemma":[0.0005076756,0.0003978188,0.00017608597,0.0002070632,0.00019324938,0.00007704445,0.0013600356,0.0026551823,0.000032678814],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005470847,0.00030686485,0.001778015,0.00044573887,0.000034331213,0.00063944916,0.00020799557,0.0030762833,0.98810005,0.00058988674,0.00027753407,0.003996778],"study_design_scores_gemma":[0.0017579396,0.0005859079,0.5478696,0.0006561028,0.00023121428,0.0009974968,0.00003451255,0.32529792,0.107548155,0.012553222,0.00049223506,0.001975688],"about_ca_topic_score_codex":0.000104561754,"about_ca_topic_score_gemma":0.00041799468,"teacher_disagreement_score":0.8805519,"about_ca_system_score_codex":0.00011935462,"about_ca_system_score_gemma":0.00012334582,"threshold_uncertainty_score":0.99984735},"labels":[],"label_agreement":null},{"id":"W4393930371","doi":"10.1016/j.isci.2024.109662","title":"Regional homogeneity as a marker of sensory cortex dysmaturity in preterm infants","year":2024,"lang":"en","type":"article","venue":"iScience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Child Health and Human Development; Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research","keywords":"Sensory system; Visual cortex; Neuroscience; Autism; Cortex (anatomy); Medicine; In utero; Audiology; Psychology; Biology; Developmental psychology; Pregnancy; Fetus","score_opus":0.031165927843679633,"score_gpt":0.28269656679987115,"score_spread":0.25153063895619154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393930371","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99470264,0.00012885235,0.000033096676,0.0003661212,0.00057145127,0.0001312714,0.000018806364,0.000042915835,0.0040048435],"genre_scores_gemma":[0.99840343,0.00006873261,0.00004737376,0.00043015828,0.000022364986,0.0000053535637,5.975303e-7,0.000005672025,0.0010163292],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99875057,0.00006644578,0.00017721573,0.00044429023,0.00035683846,0.00020466009],"domain_scores_gemma":[0.9994896,0.00019816551,0.00004231211,0.00020014947,0.000018540808,0.00005120551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002691979,0.00008716427,0.000098549404,0.00013141839,0.000058315887,0.000056160457,0.0002300935,0.0000426783,0.000046277804],"category_scores_gemma":[0.00027036606,0.00007261141,0.000047243888,0.0006374507,0.00028122423,0.00029395116,0.00008766188,0.00015449579,0.000040477804],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033240714,0.000035040637,0.0026175827,0.000035976194,6.492025e-7,0.00009304233,0.00015225112,0.000022314476,0.9864276,0.004081193,0.00013134276,0.006369773],"study_design_scores_gemma":[0.0003648312,0.0002708737,0.6050199,0.00032666395,0.000008913642,0.00055084575,0.000047186728,0.13117287,0.24065281,0.014253534,0.0068550818,0.00047645328],"about_ca_topic_score_codex":0.000055184988,"about_ca_topic_score_gemma":0.000034766243,"teacher_disagreement_score":0.7457748,"about_ca_system_score_codex":0.00003176357,"about_ca_system_score_gemma":0.00008782366,"threshold_uncertainty_score":0.2961007},"labels":[],"label_agreement":null},{"id":"W4393982725","doi":"10.1016/b978-0-12-821935-5.00024-7","title":"Entrainment—How the brain synchronizes with its environment","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Entrainment (biomusicology); Computer science; Neuroscience; Human–computer interaction; Psychology; Physics; Acoustics","score_opus":0.018084352655947857,"score_gpt":0.2071336193879104,"score_spread":0.18904926673196254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393982725","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00011008208,0.00066160545,0.000012725927,0.0056781773,0.0006551853,0.001014533,0.00008259634,0.00011319375,0.9916719],"genre_scores_gemma":[0.0074622943,0.00028159178,0.000015414213,0.003244635,0.00036641798,0.00007940251,0.000010424519,0.00013535049,0.98840445],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977581,0.00004545441,0.00023784702,0.0008897454,0.00068281067,0.00038608097],"domain_scores_gemma":[0.99890095,0.00020443753,0.00017471622,0.000599662,0.000012127879,0.00010807965],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001776753,0.0005185585,0.00031274577,0.000081223865,0.00025262425,0.00026615596,0.00041585005,0.00017539537,0.0003655707],"category_scores_gemma":[0.00002572015,0.00030501408,0.00019301205,0.000017189144,0.0003177459,0.000057102985,0.00021930654,0.00071108947,0.0006978371],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002688244,0.000013331817,2.22206e-7,0.00012499935,0.000091151116,0.000325989,0.00019579694,0.0000090190215,0.020680234,0.14816837,0.00089567783,0.8294683],"study_design_scores_gemma":[0.00016344893,0.00019459774,0.000001345572,0.0002110799,0.00011383749,0.000111488895,0.0000068367503,0.00022294123,0.0026557767,0.008785499,0.98713434,0.00039883205],"about_ca_topic_score_codex":7.5719235e-8,"about_ca_topic_score_gemma":0.0000046248347,"teacher_disagreement_score":0.98623866,"about_ca_system_score_codex":0.00017574515,"about_ca_system_score_gemma":0.000054280543,"threshold_uncertainty_score":0.9999402},"labels":[],"label_agreement":null},{"id":"W4393982779","doi":"10.1016/b978-0-12-821935-5.00013-2","title":"Neural variability in rest and task states","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Rest (music); Task (project management); Computer science; Psychology; Medicine; Engineering","score_opus":0.017657846557730825,"score_gpt":0.2394090387675712,"score_spread":0.22175119220984035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393982779","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0075859902,0.00016328742,8.635631e-7,0.00034387287,0.0009264856,0.00047626067,0.0001151976,0.00009169434,0.99029636],"genre_scores_gemma":[0.060344335,0.0001476166,0.00001023222,0.00072762236,0.00013234247,0.000019527837,0.000011563074,0.00006316358,0.9385436],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982688,0.000064738466,0.00035487665,0.0008305999,0.00022956597,0.00025143486],"domain_scores_gemma":[0.99909747,0.00035628362,0.00008999712,0.0003489177,0.000018953137,0.00008841174],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003431059,0.000318754,0.00032367458,0.00015817278,0.000066684006,0.00012184221,0.00015871,0.0001884152,0.000050825376],"category_scores_gemma":[0.00010750322,0.0002733311,0.000089001245,0.000024387695,0.00021051185,0.000056638633,0.00020927971,0.0006938799,0.000075404845],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032684493,0.000009432497,0.000017486494,0.00021262307,0.000006602985,0.00023943097,0.00013056303,0.0000060798798,0.005251939,0.0578818,0.000055921897,0.93615544],"study_design_scores_gemma":[0.00015249287,0.00009043442,0.000094308336,0.00021062915,0.000031960135,0.00005336406,0.0000021748708,0.0029121253,0.00017919256,0.29557115,0.7003115,0.00039068444],"about_ca_topic_score_codex":0.0000018034744,"about_ca_topic_score_gemma":0.00005314816,"teacher_disagreement_score":0.93576473,"about_ca_system_score_codex":0.00006997608,"about_ca_system_score_gemma":0.000032837004,"threshold_uncertainty_score":0.99997187},"labels":[],"label_agreement":null},{"id":"W4393982784","doi":"10.1016/b978-0-12-821935-5.00021-1","title":"From scale-free activity to temporo-spatial nestedness","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Nestedness; Scale (ratio); Computer science; Geography; Geology; Cartography","score_opus":0.022989213077240337,"score_gpt":0.24862676548869855,"score_spread":0.22563755241145822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393982784","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008663258,0.000049582224,0.00003321077,0.0008056952,0.0051113004,0.00085590465,0.0007184455,0.00030291485,0.9834597],"genre_scores_gemma":[0.024820397,0.000013681819,0.000043242773,0.0013081975,0.0015361093,0.000055480898,0.000020651589,0.00017125507,0.972031],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972369,0.000043282882,0.00037094264,0.0013340518,0.0006420568,0.000372731],"domain_scores_gemma":[0.9981624,0.00020571404,0.00017486446,0.0011515158,0.000048353977,0.0002571627],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00012008046,0.0005826434,0.0005536039,0.00022137343,0.00016371698,0.00022861564,0.00071713445,0.000382505,0.00024908557],"category_scores_gemma":[0.00008376456,0.0005237281,0.00030312446,0.000038978505,0.00013192787,0.000084641164,0.0006931512,0.00081026717,0.0014283407],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000078593526,0.000013495722,0.0000016369133,0.00005951565,0.000018642542,0.00017510518,0.00012488158,0.000002137894,0.040766027,0.0030812172,0.00067923416,0.9549995],"study_design_scores_gemma":[0.00022174351,0.00013296313,0.00003258176,0.00041962037,0.0000973824,0.000022554745,0.0000023231678,0.0002036963,0.0074460777,0.059414543,0.93132114,0.00068536674],"about_ca_topic_score_codex":0.000029903773,"about_ca_topic_score_gemma":0.0003773768,"teacher_disagreement_score":0.9543142,"about_ca_system_score_codex":0.00014785906,"about_ca_system_score_gemma":0.000094023024,"threshold_uncertainty_score":0.9997214},"labels":[],"label_agreement":null},{"id":"W4393982793","doi":"10.1016/b978-0-12-821935-5.00006-5","title":"Neural variability shapes perception and cognition","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Cognition; Perception; Psychology; Cognitive psychology; Cognitive science; Neuroscience","score_opus":0.023831752345894828,"score_gpt":0.2447819774262879,"score_spread":0.22095022508039308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393982793","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0039739576,0.000059660037,0.000005570411,0.00021650447,0.0008285769,0.0005125604,0.00010651582,0.00018449688,0.99411213],"genre_scores_gemma":[0.1511157,0.00009825794,0.000018202787,0.0008284066,0.0003389223,0.000022606228,0.000021284577,0.0000636158,0.847493],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.998353,0.00004673649,0.00029661882,0.00082440185,0.00027749577,0.00020177134],"domain_scores_gemma":[0.99939275,0.00016820803,0.00010535547,0.0002003596,0.000040305407,0.00009303659],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020132415,0.00033619243,0.00027444115,0.00012200676,0.00015136413,0.00016401384,0.000109493114,0.00025098532,0.00030977125],"category_scores_gemma":[0.00006838062,0.0002961272,0.00014468179,0.000015764246,0.00021101833,0.000087455,0.00013984037,0.00055299577,0.00026765783],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020892936,0.000005675497,0.0000010309506,0.00015358797,0.0000083471705,0.000030089188,0.000060302227,6.700482e-7,0.024532089,0.024086747,0.000031641863,0.95106894],"study_design_scores_gemma":[0.00025873884,0.00023791411,0.00015169314,0.00037857474,0.00029466528,0.00023333228,0.000006840036,0.006862198,0.0002884293,0.4022938,0.58820355,0.00079022767],"about_ca_topic_score_codex":2.635132e-7,"about_ca_topic_score_gemma":0.0000047570293,"teacher_disagreement_score":0.9502787,"about_ca_system_score_codex":0.000059447597,"about_ca_system_score_gemma":0.00002171856,"threshold_uncertainty_score":0.9999491},"labels":[],"label_agreement":null},{"id":"W4393982810","doi":"10.1016/b978-0-12-821935-5.00003-x","title":"Background and foreground layers I","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Aesthetics; Art","score_opus":0.040636505781437925,"score_gpt":0.2616842542946748,"score_spread":0.22104774851323686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393982810","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010224117,0.0005043835,0.0000022306665,0.00019091881,0.0013124761,0.00036832664,0.000054551278,0.00013128281,0.9964134],"genre_scores_gemma":[0.00637253,0.0002252162,0.00002251296,0.0011432015,0.00033496215,0.000015311996,0.0000075468233,0.00011164933,0.99176705],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983798,0.000013835619,0.00027013288,0.00077406043,0.00029780695,0.00026430862],"domain_scores_gemma":[0.9992833,0.00013349648,0.00010564343,0.00033580908,0.000021145015,0.00012061274],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00010455206,0.00038543894,0.00031726962,0.00015314385,0.00014152723,0.0002524936,0.00017556934,0.00024333739,0.00013701073],"category_scores_gemma":[0.000014493489,0.00032826778,0.00015917688,0.000016166254,0.00022872913,0.000071452836,0.00019521874,0.00054006715,0.00048106123],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012170591,0.0000024594324,3.9357704e-7,0.000121562414,0.000016813645,0.00012649012,0.0000349204,2.417082e-7,0.002569954,0.30544835,0.00024035988,0.6914263],"study_design_scores_gemma":[0.00010020506,0.000078549245,0.0000023100458,0.00018131307,0.000061431434,0.00011772711,0.000003853725,0.0001153632,0.0001880624,0.14923754,0.8495921,0.00032156525],"about_ca_topic_score_codex":4.0329843e-7,"about_ca_topic_score_gemma":0.00001534653,"teacher_disagreement_score":0.8493517,"about_ca_system_score_codex":0.000070119415,"about_ca_system_score_gemma":0.000035390225,"threshold_uncertainty_score":0.9999169},"labels":[],"label_agreement":null},{"id":"W4393982840","doi":"10.1016/b978-0-12-821935-5.00011-9","title":"From broccoli to the brain—Scale-free activity","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Scale (ratio); Psychology; Computer science; Geography; Cartography","score_opus":0.023026331825832462,"score_gpt":0.24838259603287938,"score_spread":0.2253562642070469,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393982840","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019225639,0.000088421635,0.000012240017,0.009744457,0.003155431,0.0009193254,0.0006101935,0.00020584255,0.9833415],"genre_scores_gemma":[0.006284017,0.000019760257,0.000021317299,0.008171027,0.0015537121,0.00006284615,0.000008309681,0.00013128114,0.9837477],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976368,0.00005264138,0.00028802763,0.0010767195,0.0005845784,0.0003612339],"domain_scores_gemma":[0.9978811,0.0004014724,0.0001372569,0.0013743014,0.00003454922,0.0001713195],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00016683053,0.00048592035,0.00039469093,0.00013153043,0.00024100498,0.0002632434,0.0009840124,0.00027097846,0.0002467955],"category_scores_gemma":[0.00015239946,0.00033889222,0.0003313927,0.000041139127,0.0001467351,0.00006007467,0.000795324,0.00095315836,0.0022098694],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044239823,0.000007489733,1.6655366e-7,0.000029442477,0.000022890918,0.00006239711,0.00019381584,0.000002972695,0.024407439,0.010820611,0.008497665,0.95591086],"study_design_scores_gemma":[0.00010947923,0.00007557401,0.000017916349,0.00017931154,0.00006275697,0.000016269707,0.0000025910188,0.00011290342,0.0026128087,0.084341444,0.9120925,0.00037644978],"about_ca_topic_score_codex":0.000009267486,"about_ca_topic_score_gemma":0.00028708545,"teacher_disagreement_score":0.9555344,"about_ca_system_score_codex":0.00011449052,"about_ca_system_score_gemma":0.000065294356,"threshold_uncertainty_score":0.9999063},"labels":[],"label_agreement":null},{"id":"W4393982868","doi":"10.1016/b978-0-12-821935-5.00004-1","title":"Background and foreground layers II—nonlinear and asymmetric relationship","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Nonlinear system; Computer science; Physics; Quantum mechanics","score_opus":0.049697531651302466,"score_gpt":0.2694980695102168,"score_spread":0.21980053785891435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393982868","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0069030127,0.001458804,0.000004065184,0.00028003784,0.00075269694,0.00046669066,0.00007753654,0.00010986309,0.9899473],"genre_scores_gemma":[0.032152686,0.00033581813,0.00011991268,0.0005745185,0.00028156897,0.000013791457,0.000015504107,0.00009832282,0.9664079],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982394,0.00002558362,0.00034042567,0.0008222568,0.0003145673,0.00025778354],"domain_scores_gemma":[0.9989481,0.00042124873,0.0001441242,0.00030655845,0.000031519558,0.00014846417],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019798952,0.00039272118,0.00033602677,0.00041666764,0.0003712144,0.00025175253,0.00013195371,0.00030806317,0.000028637367],"category_scores_gemma":[0.00008798078,0.00034611436,0.00011289943,0.000063641455,0.0002649773,0.00011421357,0.00028221513,0.00071389956,0.00009470786],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019468684,0.000006322413,0.000020169571,0.00018124912,0.000022512802,0.000070748785,0.00007209032,5.492856e-7,0.0003311809,0.30465424,0.00014703504,0.69447446],"study_design_scores_gemma":[0.00022012256,0.00018855241,0.00009639464,0.00021224553,0.00012468279,0.00017775687,0.0000076236693,0.00067341654,0.000054933713,0.13191624,0.8658876,0.0004404647],"about_ca_topic_score_codex":7.568017e-7,"about_ca_topic_score_gemma":0.000015581805,"teacher_disagreement_score":0.86574054,"about_ca_system_score_codex":0.0000683005,"about_ca_system_score_gemma":0.00004042398,"threshold_uncertainty_score":0.9998991},"labels":[],"label_agreement":null},{"id":"W4393982889","doi":"10.1016/b978-0-12-821935-5.00002-8","title":"Temporo-spatial theory of consciousness I—form and level/state","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Consciousness; State (computer science); Cognitive science; Psychology; Computer science; Epistemology; Philosophy; Algorithm","score_opus":0.028767860400922562,"score_gpt":0.23964171186500055,"score_spread":0.210873851464078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393982889","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028850504,0.00027878745,0.00001787834,0.00006961342,0.0011641377,0.00047643736,0.0003468541,0.00007632522,0.99468493],"genre_scores_gemma":[0.08570086,0.0001479535,0.00001292572,0.00032745212,0.00011598735,0.000012423446,0.00000731358,0.00007836857,0.9135967],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984167,0.00003189126,0.00042433123,0.00059184764,0.00031853613,0.00021670159],"domain_scores_gemma":[0.99904543,0.0002508289,0.00023922866,0.0003274252,0.000048638438,0.00008842137],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000253483,0.00034972472,0.0004337029,0.00017642848,0.000093212744,0.00006375701,0.0001940917,0.00017945164,0.0000892092],"category_scores_gemma":[0.000047563502,0.00028533058,0.00015265922,0.00001637957,0.00045462945,0.000046442074,0.00021175275,0.00042600083,0.00007203637],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004938657,0.0000045902384,0.0000017956747,0.0002213023,0.0000217383,0.000071266215,0.0001705315,3.3305125e-7,0.008797624,0.12065303,0.000027019738,0.86998135],"study_design_scores_gemma":[0.00022111705,0.00016591774,0.000016682108,0.00047961672,0.00009815196,0.00009966348,0.000006412321,0.00010950388,0.0076240273,0.55781573,0.43289626,0.00046694672],"about_ca_topic_score_codex":0.0000016404538,"about_ca_topic_score_gemma":0.00004263671,"teacher_disagreement_score":0.8695144,"about_ca_system_score_codex":0.000034669803,"about_ca_system_score_gemma":0.000078146186,"threshold_uncertainty_score":0.9999599},"labels":[],"label_agreement":null},{"id":"W4393982899","doi":"10.1016/b978-0-12-821935-5.00001-6","title":"The fluctuating brain—essentials of neural variability","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Neuroscience; Psychology","score_opus":0.021584968129975835,"score_gpt":0.25744963551799493,"score_spread":0.2358646673880191,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393982899","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008784445,0.00014640256,0.0000065594118,0.00082953135,0.0024003445,0.00058926526,0.00006761857,0.00009434946,0.9949875],"genre_scores_gemma":[0.04135428,0.000038169932,0.0000164115,0.00056687405,0.00035595897,0.000019417328,0.000004844217,0.00007712179,0.9575669],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99777097,0.000105674044,0.00065927027,0.0006791519,0.00049159484,0.0002933493],"domain_scores_gemma":[0.9971165,0.0016904806,0.00036167348,0.00068829284,0.000073966774,0.00006910791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074384885,0.00034880932,0.0003960834,0.000077748235,0.00027590175,0.00014272716,0.00044869242,0.0001933889,0.000097722084],"category_scores_gemma":[0.0006305799,0.00023473431,0.00034774916,0.000030792737,0.00040661945,0.000045947574,0.00030218725,0.00062759226,0.00008799897],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001596187,0.0000042046045,4.9315787e-7,0.00014048065,0.00001991445,0.000017297929,0.000055169134,0.000004095215,0.034768343,0.17413713,0.00013747698,0.7906994],"study_design_scores_gemma":[0.000095383744,0.000080798236,0.000005936778,0.00019709946,0.0000864082,0.00003454225,0.0000031656327,0.001771019,0.004480873,0.25946838,0.7334628,0.00031359508],"about_ca_topic_score_codex":5.453606e-7,"about_ca_topic_score_gemma":0.000007814666,"teacher_disagreement_score":0.79038584,"about_ca_system_score_codex":0.000050632138,"about_ca_system_score_gemma":0.00007149635,"threshold_uncertainty_score":0.9572187},"labels":[],"label_agreement":null},{"id":"W4394001343","doi":"10.1016/b978-0-12-821935-5.00038-7","title":"Scale-free activity—bridge between environment and brain","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Bridge (graph theory); Scale (ratio); Neuroscience; Psychology; Biology; Geography; Cartography; Anatomy","score_opus":0.026305738434799265,"score_gpt":0.2358692675897492,"score_spread":0.2095635291549499,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394001343","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0055563273,0.00015070409,0.000007823847,0.0019606268,0.00052129116,0.00059977133,0.00037233933,0.000129244,0.99070185],"genre_scores_gemma":[0.016037073,0.00014796486,0.000020616199,0.0008090563,0.00048346783,0.000022555067,0.000010507105,0.0001214799,0.9823473],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979421,0.00003544429,0.00027580356,0.0009964376,0.00043892337,0.0003112854],"domain_scores_gemma":[0.99872124,0.00027105637,0.00014279081,0.0006894562,0.000006923754,0.00016854156],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016875207,0.00046129865,0.0004405815,0.00016252922,0.00014937669,0.00013650842,0.00032255639,0.00027881862,0.000096243195],"category_scores_gemma":[0.00003506662,0.0003720488,0.00018481619,0.00001283548,0.00028160767,0.0000674825,0.00060996163,0.0007144582,0.0004224678],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010351531,0.000004504913,0.0000072877515,0.000092028466,0.000018738234,0.000059339603,0.000036911497,2.1895973e-7,0.008983967,0.004261699,0.00036331077,0.98616165],"study_design_scores_gemma":[0.00018504757,0.00012449494,0.00024394083,0.00017402766,0.00009660368,0.000037131733,4.3155362e-7,0.000036243877,0.002046598,0.058422048,0.9381837,0.0004496895],"about_ca_topic_score_codex":6.746019e-7,"about_ca_topic_score_gemma":0.0000063744164,"teacher_disagreement_score":0.98571193,"about_ca_system_score_codex":0.00009866886,"about_ca_system_score_gemma":0.000025160833,"threshold_uncertainty_score":0.99987316},"labels":[],"label_agreement":null},{"id":"W4394001394","doi":"10.1016/b978-0-12-821935-5.00045-4","title":"The jungle of consciousness—current neuroscientific theories","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Jungle; Consciousness; Current (fluid); Psychology; Philosophy; Cognitive science; Psychoanalysis; Neuroscience; History; Physics; Archaeology","score_opus":0.02027140363404337,"score_gpt":0.2503303145746524,"score_spread":0.230058910940609,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394001394","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00045276,0.001622516,0.00000288799,0.00022431825,0.012346989,0.00054996746,0.0001726239,0.00010468957,0.98452324],"genre_scores_gemma":[0.02602551,0.00043234276,0.0000014125817,0.0001475437,0.0001825798,0.000015700045,0.0000049950554,0.00007577887,0.97311413],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979127,0.00005135575,0.0004889664,0.0007029761,0.0005459065,0.0002981108],"domain_scores_gemma":[0.9983881,0.00048315476,0.00029329432,0.00068233773,0.00007830458,0.00007479684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002981342,0.000357193,0.000333908,0.00013442074,0.00039691047,0.000244554,0.0005413139,0.00011939949,0.0000360369],"category_scores_gemma":[0.00013411514,0.00022731858,0.0003049137,0.00004606333,0.0010851634,0.000040006413,0.00030789903,0.00060599914,0.00020727458],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010386948,0.0000052740393,3.2857818e-7,0.000088864545,0.0000058336263,0.00001254111,0.000049641243,7.6305525e-7,0.0072420007,0.48136696,0.00017582013,0.5110416],"study_design_scores_gemma":[0.000055235116,0.000048123136,0.0000014274209,0.00018688157,0.00004822012,0.0000137442985,0.0000033183996,0.00007520409,0.0027841176,0.21594119,0.78065515,0.00018737839],"about_ca_topic_score_codex":1.294287e-7,"about_ca_topic_score_gemma":0.000011863911,"teacher_disagreement_score":0.7804793,"about_ca_system_score_codex":0.000036779846,"about_ca_system_score_gemma":0.000101464706,"threshold_uncertainty_score":0.9269783},"labels":[],"label_agreement":null},{"id":"W4394001400","doi":"10.1016/b978-0-12-821935-5.00043-0","title":"Neurodynamic mechanisms of neural variability","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Neuroscience; Computer science; Psychology","score_opus":0.01774854453463774,"score_gpt":0.23312066267567624,"score_spread":0.21537211814103852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394001400","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007364464,0.000035601857,0.000052067997,0.00018512602,0.0024938963,0.00063094497,0.0001554855,0.00018874828,0.99552166],"genre_scores_gemma":[0.09134985,0.00002183283,0.00004496313,0.0007495343,0.0001386352,0.000017267086,0.000011076075,0.00012731487,0.90753955],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974462,0.00006913502,0.0006239876,0.0010310827,0.0005162074,0.0003134124],"domain_scores_gemma":[0.99847865,0.00027547122,0.0002955635,0.0007792705,0.000059626636,0.00011140669],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028710565,0.0004899385,0.00056652154,0.00020675607,0.00008590723,0.000063231186,0.00043985818,0.00030065022,0.00023277185],"category_scores_gemma":[0.00010758095,0.000430622,0.0004290179,0.00003770473,0.00022371313,0.000055994744,0.00028049658,0.0007999118,0.0002027275],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002578129,0.000012688262,2.7284514e-7,0.00026768193,0.00001568292,0.00008474573,0.000020905783,0.0000117168875,0.076906264,0.56741554,0.000023738785,0.35521498],"study_design_scores_gemma":[0.00014397183,0.00023415376,0.0000057830634,0.00019452213,0.00014934051,0.000085690306,9.495231e-7,0.005899171,0.0043914374,0.80145466,0.18693224,0.0005080979],"about_ca_topic_score_codex":4.7556074e-7,"about_ca_topic_score_gemma":0.000005083523,"teacher_disagreement_score":0.35470688,"about_ca_system_score_codex":0.000075935546,"about_ca_system_score_gemma":0.00006553912,"threshold_uncertainty_score":0.99981457},"labels":[],"label_agreement":null},{"id":"W4394001407","doi":"10.1016/b978-0-12-821935-5.00037-5","title":"Brain and world—converging free energy principle and dynamic layer model of brain","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Layer (electronics); Free energy principle; Neuroscience; Computer science; Psychology; Materials science; Nanotechnology","score_opus":0.021315418998256636,"score_gpt":0.24667270645392597,"score_spread":0.22535728745566933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394001407","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0043108966,0.0007036517,0.00009243174,0.0013725098,0.00047690005,0.0003443575,0.00022364201,0.00010816215,0.99236745],"genre_scores_gemma":[0.038580585,0.00015849913,0.00010029809,0.0020901654,0.000068085945,0.000012847893,0.00000838674,0.00011286563,0.95886827],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99805856,0.000031185467,0.0004346384,0.00086038193,0.0003279317,0.0002872831],"domain_scores_gemma":[0.9987933,0.0003084157,0.00021282799,0.0005230784,0.000031602445,0.00013076465],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019655141,0.00042845955,0.00047819834,0.0003816801,0.0001001012,0.00009053622,0.00025705458,0.00019680183,0.00003280795],"category_scores_gemma":[0.000078491204,0.0003939699,0.00013570729,0.00003616784,0.00028259493,0.00007992229,0.00056755356,0.00042163188,0.000008623471],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003230513,0.0000073088445,0.00000195221,0.0003345605,0.000033352957,0.00004850299,0.00012274973,0.000057868176,0.06881405,0.45527422,0.0002323654,0.47504076],"study_design_scores_gemma":[0.00041616586,0.00009241582,0.000005818385,0.00055513415,0.00007959746,0.000058375103,0.0000025762056,0.13431528,0.0017759475,0.31574896,0.5463431,0.0006066364],"about_ca_topic_score_codex":0.0000019937227,"about_ca_topic_score_gemma":0.00021997004,"teacher_disagreement_score":0.54611075,"about_ca_system_score_codex":0.000056121404,"about_ca_system_score_gemma":0.000061313025,"threshold_uncertainty_score":0.9998512},"labels":[],"label_agreement":null},{"id":"W4394001415","doi":"10.1016/b978-0-12-821935-5.00041-7","title":"Temporo-spatial theory of consciousness (TTC) II","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Consciousness; Psychology; Cognitive science; Neuroscience","score_opus":0.020610210928608673,"score_gpt":0.23700921918225915,"score_spread":0.21639900825365047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394001415","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00078555476,0.0002680615,0.000011592437,0.000104589875,0.0023976127,0.0005126552,0.0001824716,0.0001303022,0.99560714],"genre_scores_gemma":[0.0772293,0.00006062177,0.000009273614,0.0004913787,0.00031335882,0.000019081093,0.000010791544,0.00010550572,0.9217607],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99800795,0.0000500953,0.0005202859,0.0007161451,0.00045121036,0.00025431445],"domain_scores_gemma":[0.99876356,0.00025338348,0.00029956052,0.00052994024,0.0000623149,0.00009122739],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027148487,0.000411429,0.000514343,0.00021282221,0.0001636036,0.000045549466,0.00035649035,0.00029769522,0.0003836509],"category_scores_gemma":[0.000071879535,0.0003440161,0.00031897312,0.000022944985,0.0004256552,0.000039352202,0.00034093033,0.0005730206,0.00022868834],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044628196,0.000010530934,6.336693e-7,0.00015962611,0.00002446955,0.00007854874,0.00011012813,8.456868e-7,0.015206663,0.3154581,0.00010301317,0.6688028],"study_design_scores_gemma":[0.00016248738,0.00017930083,0.0000020138455,0.00038556967,0.0000981203,0.000045637444,0.000003813766,0.000061986044,0.006396523,0.26232836,0.72997147,0.00036472737],"about_ca_topic_score_codex":0.0000010051724,"about_ca_topic_score_gemma":0.000018195595,"teacher_disagreement_score":0.7298685,"about_ca_system_score_codex":0.00005108425,"about_ca_system_score_gemma":0.00011054552,"threshold_uncertainty_score":0.9999012},"labels":[],"label_agreement":null},{"id":"W4394011002","doi":"10.1038/s41467-024-46926-0","title":"EEG decoders track memory dynamics","year":2024,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Stanford Bio-X; University of Pennsylvania; National Institute of Mental Health; McMaster University; U.S. Department of Health and Human Services","keywords":"Mnemonic; Recall; Episodic memory; Computer science; Encoding (memory); Task (project management); Context (archaeology); Cognition; Electroencephalography; Encoding specificity principle; Artificial intelligence; Cognitive psychology; Context-dependent memory; Dynamics (music); Semantic memory; Free recall; Speech recognition; Natural language processing; Psychology; Neuroscience","score_opus":0.02941581412670736,"score_gpt":0.3127301879939135,"score_spread":0.28331437386720615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394011002","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27440953,0.021232767,0.004682093,0.20341085,0.011394225,0.0017744022,0.0006385471,0.0040043015,0.47845328],"genre_scores_gemma":[0.9936764,0.0007231285,0.0007418415,0.002009628,0.000035778794,0.000022797476,0.000055864537,0.000023434259,0.00271109],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991646,0.00010885939,0.00014876017,0.00026461444,0.00015850764,0.0001546938],"domain_scores_gemma":[0.99806494,0.00066967943,0.000029292263,0.0011509431,0.00003250016,0.000052677442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001324383,0.00010416292,0.00008137632,0.00011571272,0.00029824796,0.00014788289,0.00085708237,0.00017306334,0.000037645266],"category_scores_gemma":[0.00031863322,0.00009365198,0.00008547628,0.00054128974,0.00013867309,0.00021466958,0.00019541645,0.0011146361,0.0001613623],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010248414,0.00014561805,0.00006605063,0.000038167458,0.000016419744,0.000017555767,0.00027222763,0.00012888979,0.07918641,0.8213746,0.02151319,0.07723061],"study_design_scores_gemma":[0.00016914688,0.00004725971,0.0011056731,0.00006252891,0.000041497962,0.00009826561,0.00015393374,0.73784584,0.003874926,0.011499137,0.24474359,0.00035821396],"about_ca_topic_score_codex":0.000008800762,"about_ca_topic_score_gemma":0.00041169295,"teacher_disagreement_score":0.8098755,"about_ca_system_score_codex":0.00009691379,"about_ca_system_score_gemma":0.00004672346,"threshold_uncertainty_score":0.48426008},"labels":[],"label_agreement":null},{"id":"W4394018708","doi":"10.1016/j.conb.2024.102859","title":"Toward a neuroscience of natural behavior","year":2024,"lang":"en","type":"article","venue":"Current Opinion in Neurobiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Canadian Institutes of Health Research","keywords":"Natural (archaeology); Neuroscience; Computer science; Data science; Cognitive science; Neurophysiology; Computational neuroscience; Animal behavior; Psychology; Biology","score_opus":0.1131916897729926,"score_gpt":0.36303329786210925,"score_spread":0.24984160808911665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394018708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93053246,0.00091417326,0.00014385073,0.0010377559,0.066679835,0.00038540407,0.000049503553,0.00014075599,0.00011624733],"genre_scores_gemma":[0.99903524,0.00061890605,0.000004740023,0.000119477445,0.00012719813,0.00003360509,0.000008120796,0.0000117552045,0.00004094917],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986089,0.00014776495,0.0002981597,0.0005693292,0.00011358502,0.00026226268],"domain_scores_gemma":[0.9995168,0.00020624559,0.000057045298,0.00016524119,0.000015751142,0.00003892277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008137725,0.00013384956,0.00015768647,0.00026253413,0.000032887703,0.000031174233,0.00027461778,0.000045912806,0.000018438777],"category_scores_gemma":[0.00025070235,0.000111248584,0.000077907396,0.0006316788,0.00021104609,0.00015007395,0.00012512255,0.00036670957,0.000022504631],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024382814,0.0001315668,0.0011242671,0.0001955081,3.297995e-7,0.000014144078,0.00006470495,0.00004065376,0.9605547,0.016787045,0.0007469033,0.020315763],"study_design_scores_gemma":[0.0024145544,0.0025644398,0.1581144,0.0015513654,0.000040493287,0.0021131309,0.000046570607,0.12537257,0.2719705,0.0064180093,0.42736727,0.0020266855],"about_ca_topic_score_codex":0.0000031899497,"about_ca_topic_score_gemma":5.063381e-7,"teacher_disagreement_score":0.6885842,"about_ca_system_score_codex":0.000020478088,"about_ca_system_score_gemma":0.000041183364,"threshold_uncertainty_score":0.45365855},"labels":[],"label_agreement":null},{"id":"W4394019177","doi":"10.1016/j.neuroimage.2024.120602","title":"Repertoire of timescales in uni – and transmodal regions mediate working memory capacity","year":2024,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Ottawa","funders":"","keywords":"Working memory; Prefrontal cortex; Functional magnetic resonance imaging; Hippocampus; Neuroscience; Psychology; Dynamics (music); Task (project management); Cortex (anatomy); Dorsolateral prefrontal cortex; Cognitive psychology; Computer science; Cognition","score_opus":0.04477816616581184,"score_gpt":0.24683246661462438,"score_spread":0.20205430044881253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394019177","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941735,0.00010693999,0.00008982278,0.0018960967,0.00041695256,0.0001234072,0.00001337926,0.000083022234,0.0030968464],"genre_scores_gemma":[0.9990193,0.00015743471,0.000039965984,0.0002945904,0.000038143302,0.0000044790063,0.0000011024428,0.00001710857,0.00042785303],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990237,0.000103878425,0.00017978431,0.00038106376,0.00015096887,0.00016061934],"domain_scores_gemma":[0.99946684,0.00029270706,0.000027736292,0.00016057573,0.000007016786,0.000045103076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012030572,0.00010123772,0.00012896415,0.00013699356,0.00005294245,0.00004410118,0.00009473373,0.000042636726,0.000011395192],"category_scores_gemma":[0.00014024088,0.00008854201,0.000046978636,0.00035259462,0.00017800294,0.00015831737,0.000033417866,0.00024246497,0.000004323135],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019443596,0.000028343078,0.00027608624,0.00007210468,0.0000012016973,0.00021715253,0.00029707834,0.00003381463,0.9840014,0.003742937,0.00014120269,0.011169237],"study_design_scores_gemma":[0.0018054096,0.0006455129,0.067475036,0.0010905915,0.000085252206,0.00083995063,0.0001667224,0.23687555,0.6425911,0.032084443,0.015150618,0.0011897672],"about_ca_topic_score_codex":0.000031748546,"about_ca_topic_score_gemma":0.00004523621,"teacher_disagreement_score":0.34141025,"about_ca_system_score_codex":0.000012440514,"about_ca_system_score_gemma":0.00001700977,"threshold_uncertainty_score":0.36106384},"labels":[],"label_agreement":null},{"id":"W4394563652","doi":"10.1093/scan/nsae026","title":"A practical guide to EEG hyperscanning in joint action research: from motivation to implementation","year":2024,"lang":"en","type":"article","venue":"Social Cognitive and Affective Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; National Research Foundation; Danmarks Grundforskningsfond; Villum Fonden; Aarhus Universitet","keywords":"Psychology; Interpretability; Action (physics); Electroencephalography; Cognition; Cognitive psychology; Mirror neuron; Selection (genetic algorithm); Cognitive science; Computer science; Neuroscience; Artificial intelligence","score_opus":0.26867937284326043,"score_gpt":0.4850648821867315,"score_spread":0.21638550934347106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394563652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98580223,0.0000038033616,0.007811177,0.0040271864,0.000587737,0.00083486264,0.000060115504,0.0000639555,0.000808935],"genre_scores_gemma":[0.99713814,0.000012594914,0.000050329505,0.002404681,0.00015829784,0.000119106,0.0000041430812,0.000015883381,0.000096805226],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.997486,0.0005673607,0.00017889989,0.0008782616,0.00051320775,0.0003762477],"domain_scores_gemma":[0.99839395,0.0012847091,0.000033739438,0.000052202064,0.00011217138,0.000123238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007188772,0.00013150639,0.00012626525,0.00044180427,0.0005204645,0.0003530203,0.00006810894,0.000046048477,0.000016878903],"category_scores_gemma":[0.0048084874,0.00012839331,0.000036052894,0.0018281018,0.00015606477,0.0006875378,0.0001524746,0.00037419653,0.000034717476],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064595486,0.000035584042,0.00052601384,0.000007791464,9.2124503e-7,0.000042530202,0.0016495707,0.000004684937,0.9595867,0.0019501336,0.0006425951,0.03548889],"study_design_scores_gemma":[0.00059333176,0.0013085775,0.6282559,0.00020224214,0.000016832206,0.000019686153,0.0076643624,0.0039320854,0.3504549,0.0047142017,0.0024232436,0.00041461925],"about_ca_topic_score_codex":0.00029945275,"about_ca_topic_score_gemma":0.00017016628,"teacher_disagreement_score":0.6277299,"about_ca_system_score_codex":0.00018339914,"about_ca_system_score_gemma":0.00009555343,"threshold_uncertainty_score":0.5756556},"labels":[],"label_agreement":null},{"id":"W4394565913","doi":"10.1523/jneurosci.1161-23.2024","title":"Differential Modulation of Local Field Potentials in the Primary and Premotor Cortices during Ipsilateral and Contralateral Reach to Grasp in Macaque Monkeys","year":2024,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université de Montréal","funders":"Canadian Institutes of Health Research; Institut de Valorisation des Données","keywords":"Macaque; GRASP; Differential (mechanical device); Neuroscience; Modulation (music); Local field potential; Psychology; Physics; Computer science; Acoustics","score_opus":0.01594519682076275,"score_gpt":0.2543463935947682,"score_spread":0.23840119677400542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394565913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99721396,0.000015123577,0.0011122362,0.0009833605,0.0004962057,0.00015794206,0.0000027015194,0.0000044847743,0.000013965918],"genre_scores_gemma":[0.9993954,0.00007377316,0.000019002777,0.00044400946,0.00003799769,0.000001478998,9.8058514e-8,0.000004695185,0.000023545006],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988503,0.000114764174,0.00036815682,0.00021924624,0.0002906829,0.00015685002],"domain_scores_gemma":[0.99957806,0.0001786767,0.00010757521,0.000069991234,0.000015552441,0.00005015904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013805003,0.00008573732,0.00015398132,0.00022209514,0.000043916396,0.00014589512,0.00016114974,0.00003128023,0.0000018362255],"category_scores_gemma":[0.00013631117,0.000056388617,0.00003174146,0.00029122474,0.00008991686,0.00046116408,0.000059104535,0.00022259973,1.1893178e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000112934176,0.00003010327,0.0051987744,0.00004290248,4.025132e-7,0.00013481268,0.00025102895,0.00045518685,0.9910676,0.00011133058,0.0000032166727,0.0025917445],"study_design_scores_gemma":[0.00029054712,0.00044295134,0.8783656,0.00011990883,0.0000057080824,0.0004142866,0.000020763366,0.06010811,0.05978044,0.00037541866,0.000008070294,0.000068202244],"about_ca_topic_score_codex":0.000030868436,"about_ca_topic_score_gemma":0.0000124118205,"teacher_disagreement_score":0.9312871,"about_ca_system_score_codex":0.000019509696,"about_ca_system_score_gemma":0.000018448145,"threshold_uncertainty_score":0.2299461},"labels":[],"label_agreement":null},{"id":"W4394600693","doi":"10.31234/osf.io/knjfw","title":"Decoupling Measurements and Processes: On the Epiphenomenon Debate Surrounding Brain Oscillations in Field Potentials","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Mila - Quebec Artificial Intelligence Institute; Montreal Neurological Institute and Hospital","funders":"University of Glasgow; Fonds de recherche du Québec – Nature et technologies; European Commission","keywords":"Epiphenomenon; Decoupling (probability); Field (mathematics); Physics; Neuroscience; Psychology; Engineering; Philosophy; Epistemology; Control engineering; Mathematics","score_opus":0.1047796214586919,"score_gpt":0.3108309483880616,"score_spread":0.20605132692936967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394600693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96467036,0.000101047495,0.0011579696,0.017468855,0.0014015115,0.00092456356,0.0000160174,0.00011856264,0.0141410865],"genre_scores_gemma":[0.9952775,0.00011597958,0.000043578795,0.0027488794,0.00008420815,0.00006915309,0.0000040915797,0.000027170898,0.0016294156],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99821156,0.000109551955,0.00033233015,0.00072670897,0.00036211422,0.00025771323],"domain_scores_gemma":[0.9980335,0.0014939927,0.00011160771,0.00027174028,0.00004188077,0.00004728337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007850372,0.00023377298,0.00019776543,0.00023082246,0.0002161541,0.00049762323,0.00023221661,0.00012855271,0.000059359125],"category_scores_gemma":[0.002246807,0.00015835995,0.000050726354,0.0003613195,0.000038702914,0.000072227296,0.0005185473,0.0006157806,0.00003099661],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043597555,0.00076537236,0.012085492,0.006888446,0.00021735272,0.0002356086,0.005458012,0.091796294,0.71275485,0.1202404,0.008221599,0.040900618],"study_design_scores_gemma":[0.001081427,0.0005409446,0.0022700427,0.0047578253,0.00015749292,0.000057203775,0.0006094264,0.30041847,0.11196484,0.5733033,0.0025151372,0.0023239495],"about_ca_topic_score_codex":0.00011339338,"about_ca_topic_score_gemma":0.00036690317,"teacher_disagreement_score":0.60079,"about_ca_system_score_codex":0.00009543858,"about_ca_system_score_gemma":0.000099359604,"threshold_uncertainty_score":0.6457732},"labels":[],"label_agreement":null},{"id":"W4394685947","doi":"10.1101/2024.04.09.588714","title":"Unique cortical and subcortical activation patterns for different conspecific calls in marmosets","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research; Canada First Research Excellence Fund; Government of Canada","keywords":"Neuroscience; Marmoset; Psychology; Biology; Communication; Paleontology","score_opus":0.027275504301437204,"score_gpt":0.2445871501132019,"score_spread":0.21731164581176468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394685947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932848,0.000044712648,0.0027162237,0.00073247787,0.0015272374,0.001153135,0.00033361634,0.00020339809,0.0000043833784],"genre_scores_gemma":[0.99862146,0.000192189,0.00014988407,0.00038513448,0.00023109614,0.00032447802,6.785921e-7,0.00008876822,0.000006309189],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99742764,0.00016693868,0.00048855477,0.0011882134,0.00027344545,0.00045518944],"domain_scores_gemma":[0.99861765,0.0004828345,0.00013902046,0.00047425728,0.00008695255,0.0001993092],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00024793303,0.0004122473,0.00042175918,0.00024000357,0.00009908364,0.0002966025,0.00021554237,0.00039295535,0.000020528492],"category_scores_gemma":[0.00056132046,0.0003868793,0.00009900843,0.00021137555,0.0001280566,0.000078129604,0.0004593324,0.0010241669,0.00001170368],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008227515,0.00013483706,0.006428483,0.0005059929,0.000012397756,0.000057378544,0.0000046400805,0.00000998379,0.9802981,0.012369101,0.000089505265,0.0000072962625],"study_design_scores_gemma":[0.00064181647,0.00015256219,0.34599546,0.0006608576,0.0000643285,8.068126e-8,0.0000020218406,0.019411469,0.63167423,0.00019371152,0.00045424598,0.00074920134],"about_ca_topic_score_codex":0.00001824042,"about_ca_topic_score_gemma":0.0000057909765,"teacher_disagreement_score":0.34862387,"about_ca_system_score_codex":0.0002540432,"about_ca_system_score_gemma":0.00014348768,"threshold_uncertainty_score":0.9998583},"labels":[],"label_agreement":null},{"id":"W4394743787","doi":"10.1016/j.neubiorev.2024.105670","title":"A measure centrality index for systematic empirical comparison of consciousness theories","year":2024,"lang":"en","type":"review","venue":"Neuroscience & Biobehavioral Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Ottawa","funders":"Fundación Tatiana Pérez de Guzmán el Bueno","keywords":"Consciousness; Centrality; Integrated information theory; Electromagnetic theories of consciousness; Measure (data warehouse); Information theory; Causality (physics); Psychology; Cognitive science; Context (archaeology); Computer science; Cognitive psychology; Artificial intelligence; Mathematics; Data mining; Neuroscience; Statistics","score_opus":0.30328389737285605,"score_gpt":0.4790254649726434,"score_spread":0.17574156759978737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394743787","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00012721006,0.9865355,0.00058732723,0.000010615673,0.0031884618,0.008973951,0.0004022812,0.00013810166,0.00003655355],"genre_scores_gemma":[0.006036268,0.9918789,0.00003182243,0.0002589953,0.00009813105,0.0013569406,0.00001796686,0.00008855361,0.00023242297],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99271345,0.0011080895,0.0027700884,0.0016755721,0.0009795058,0.0007533026],"domain_scores_gemma":[0.9966376,0.00009316812,0.0018123527,0.0010792528,0.00012242352,0.00025519126],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017240043,0.0009423149,0.0048413468,0.00034775506,0.00030411108,0.00035439612,0.001402428,0.0003835352,0.000012998884],"category_scores_gemma":[0.0033280917,0.0005733738,0.00173101,0.0018828637,0.00084456196,0.00026953802,0.00029302354,0.0007862986,0.00006144003],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015382884,0.00040539866,0.00006996439,0.36889043,5.121288e-7,0.000016639347,0.00009731172,6.5706485e-7,0.001426845,0.002405664,0.0012296705,0.6254415],"study_design_scores_gemma":[0.000101215104,0.0003044912,0.0000037372563,0.06543182,0.0014375589,0.00008083046,0.00001723031,0.0003022313,0.000039052422,0.00020918509,0.9314937,0.0005789208],"about_ca_topic_score_codex":0.0000068298637,"about_ca_topic_score_gemma":0.000008833583,"teacher_disagreement_score":0.93026406,"about_ca_system_score_codex":0.0001684655,"about_ca_system_score_gemma":0.0003913868,"threshold_uncertainty_score":0.99967176},"labels":[],"label_agreement":null},{"id":"W4394745146","doi":"10.7554/elife.89674.2","title":"A neuronal least-action principle for real-time learning in cortical circuits","year":2024,"lang":"en","type":"preprint","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Neuroscience; Computer science; Action (physics); Sensory system; Trajectory; Synaptic weight; Gradient descent; Artificial intelligence; Psychology; Artificial neural network; Physics","score_opus":0.06733172118538154,"score_gpt":0.3282558349122743,"score_spread":0.2609241137268927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394745146","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99336916,0.000011910492,0.00038365796,0.0006744675,0.0022705635,0.0006642431,0.000043668835,0.0003067226,0.0022756103],"genre_scores_gemma":[0.9927845,0.00008844938,0.000052620646,0.00033670396,0.0004699819,0.0001604207,0.00004658775,0.00006245358,0.0059982827],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979104,0.00016038069,0.00035693953,0.00085857173,0.00037349982,0.0003402392],"domain_scores_gemma":[0.99917245,0.00035544464,0.00012211718,0.0002184407,0.00004031444,0.000091218295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030898713,0.00022842728,0.00026310928,0.00017726273,0.00011269219,0.00014813418,0.00015099092,0.0002019754,0.000052503914],"category_scores_gemma":[0.0011869224,0.00023023537,0.00015199184,0.00018221559,0.00004677741,0.000055890025,0.00047031295,0.0013315779,0.00024341028],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011759649,0.00012518292,0.00037916464,0.0004310923,0.00000906568,0.000086623586,0.0001230979,0.012520987,0.97130626,0.0048195664,0.0008265445,0.009254788],"study_design_scores_gemma":[0.00069208595,0.0004730641,0.01800087,0.0003563678,0.000055877863,0.000074989985,0.000017671166,0.91352624,0.03568282,0.004749031,0.025572633,0.0007983317],"about_ca_topic_score_codex":0.000028541153,"about_ca_topic_score_gemma":0.000016284774,"teacher_disagreement_score":0.93562347,"about_ca_system_score_codex":0.00014084515,"about_ca_system_score_gemma":0.00019893418,"threshold_uncertainty_score":0.9388726},"labels":[],"label_agreement":null},{"id":"W4394805838","doi":"10.1101/2024.04.11.589131","title":"Distinct mechanisms of visual and sound adaptation in the cat visual cortex","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Ontario Brain Institute; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Visual cortex; Stimulus (psychology); Adaptation (eye); Sensory system; Neuroscience; Stimulus modality; Auditory cortex; Visual N1; Computer science; Visual perception; Psychology; Communication; Cognitive psychology; Perception","score_opus":0.02217720072181804,"score_gpt":0.251513654182366,"score_spread":0.22933645346054796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394805838","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951227,0.000087814326,0.002551441,0.00019411635,0.0012082336,0.0006101317,0.000111004374,0.00010438287,0.00001018992],"genre_scores_gemma":[0.99924886,0.000050629358,0.00019059918,0.0002303893,0.0001279487,0.00008827914,3.2359625e-7,0.000059070808,0.0000039241218],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99771684,0.00023034484,0.00044247502,0.0008592635,0.00045082785,0.00030026893],"domain_scores_gemma":[0.9989212,0.00024906793,0.0002736436,0.00039162155,0.00008882987,0.00007560233],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00057176454,0.00034321126,0.00033151734,0.0002458997,0.000110135006,0.00025058712,0.00031547673,0.00023650053,0.000009254149],"category_scores_gemma":[0.00033985337,0.00027909788,0.00008546047,0.00055057404,0.00014708184,0.000093912015,0.0004317335,0.0005639799,0.000016362288],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032015952,0.00012026523,0.00026507088,0.00029520065,0.0000106796815,0.000060310962,0.000036900314,0.000035939956,0.98656076,0.01256152,0.000012357837,0.000008990361],"study_design_scores_gemma":[0.001037448,0.0007907429,0.18225445,0.0008198766,0.00029314432,4.6443682e-7,0.00008262604,0.26645723,0.5429542,0.0034159448,0.00023147273,0.001662414],"about_ca_topic_score_codex":0.00007754126,"about_ca_topic_score_gemma":0.000024292955,"teacher_disagreement_score":0.44360656,"about_ca_system_score_codex":0.000099108314,"about_ca_system_score_gemma":0.00016442996,"threshold_uncertainty_score":0.99996614},"labels":[],"label_agreement":null},{"id":"W4394806536","doi":"10.1101/2024.04.11.589111","title":"Feedback scales the spatial tuning of cortical responses during both visual working memory and long-term memory","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Mental Health; York University","keywords":"Mnemonic; Visual memory; Visual cortex; Working memory; Perception; Psychology; Visual field; Receptive field; Neuroscience; Sensory memory; Visual short-term memory; Visual perception; Contrast (vision); Spatial memory; Cognitive psychology; Computer science; Cognition; Computer vision","score_opus":0.021904383425970606,"score_gpt":0.24818510337708152,"score_spread":0.22628071995111093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394806536","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99574697,0.00070966216,0.00018700589,0.00026952778,0.0021081131,0.0006196621,0.00006171295,0.00028385452,0.000013518368],"genre_scores_gemma":[0.99866337,0.0002624376,0.00009040356,0.00015861542,0.0006040426,0.000059350965,1.2676121e-7,0.00012994563,0.00003168298],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9964593,0.000474694,0.000658458,0.0012470948,0.0006024839,0.0005579586],"domain_scores_gemma":[0.9978808,0.00063162873,0.00039271306,0.00078803976,0.00010760293,0.0001991693],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007222841,0.00053855946,0.0005437698,0.00031416884,0.00042491237,0.00044005833,0.00052373804,0.00034694298,0.000021889933],"category_scores_gemma":[0.0008475623,0.00044548375,0.00018198157,0.0004686362,0.000603604,0.0001152727,0.0016149037,0.0014608257,0.000018133494],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022416959,0.00006650105,0.0069615585,0.000622371,0.00004098081,0.00019860105,0.000023865801,0.000047443962,0.9915708,0.00020382494,0.000008019959,0.00003189082],"study_design_scores_gemma":[0.00031385428,0.00006847846,0.4323323,0.0009810985,0.00011404875,5.0247235e-7,0.0000058981623,0.0036574404,0.5620225,0.000005753722,0.000010809223,0.00048727874],"about_ca_topic_score_codex":0.00003235204,"about_ca_topic_score_gemma":0.000011303773,"teacher_disagreement_score":0.42954823,"about_ca_system_score_codex":0.00014050091,"about_ca_system_score_gemma":0.0002518999,"threshold_uncertainty_score":0.99979967},"labels":[],"label_agreement":null},{"id":"W4394852073","doi":"10.1016/j.neuroimage.2024.120610","title":"Lead/Lag directionality is not generally equivalent to causality in nonlinear systems: Comparison of phase slope index and conditional mutual information","year":2024,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Akademie Věd České Republiky; Grantová Agentura České Republiky","keywords":"Directionality; Amplitude; Coupling (piping); Lag; SIGNAL (programming language); Nonlinear system; Phase (matter); Surrogate data; Causality (physics); Computer science; Statistical physics; Physics; Mathematics; Engineering; Optics","score_opus":0.06691079297928365,"score_gpt":0.3540425348460921,"score_spread":0.28713174186680845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394852073","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99425966,0.000022143131,0.0019318364,0.001011725,0.00080486655,0.00037422334,0.0010144451,0.0000635881,0.00051749713],"genre_scores_gemma":[0.9981513,0.000010405146,0.00006564789,0.0013519791,0.00008553284,0.000020926711,0.000070275295,0.000010531026,0.00023337435],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983772,0.00013655271,0.00050923234,0.0003509579,0.00044349334,0.00018253278],"domain_scores_gemma":[0.99938476,0.00021717053,0.00009434769,0.00015863113,0.00006594899,0.00007915003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024353316,0.00014353635,0.00021294999,0.00022017072,0.00007514374,0.00015985598,0.00010282105,0.000055303466,0.000037553156],"category_scores_gemma":[0.00024357224,0.00013773912,0.000045893517,0.00038041477,0.00008597036,0.0006235855,0.00009018233,0.00022897866,0.00004323151],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039313352,0.00040410523,0.0037493422,0.000496227,0.000009446841,0.000041988722,0.0006973671,0.0024233656,0.97633165,0.004914825,0.0039269803,0.0066115814],"study_design_scores_gemma":[0.0014195038,0.00058697205,0.047701333,0.000100329664,0.000018928522,0.000068939575,0.000070783746,0.8415169,0.08286496,0.00024785227,0.025059966,0.00034351292],"about_ca_topic_score_codex":0.00009271412,"about_ca_topic_score_gemma":0.000015366746,"teacher_disagreement_score":0.89346665,"about_ca_system_score_codex":0.00006203654,"about_ca_system_score_gemma":0.00005506089,"threshold_uncertainty_score":0.56168383},"labels":[],"label_agreement":null},{"id":"W4394874979","doi":"10.1038/s41586-024-07309-z","title":"Control of working memory by phase–amplitude coupling of human hippocampal neurons","year":2024,"lang":"en","type":"article","venue":"Nature","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":140,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"National Institute of Neurological Disorders and Stroke; Deutsche Akademie der Naturforscher Leopoldina - Nationale Akademie der Wissenschaften; Cedars-Sinai Medical Center; Johns Hopkins University; National Institutes of Health; National Science Foundation","keywords":"Working memory; Hippocampal formation; Hippocampus; Neuroscience; Cognition; Spatial memory; Coupling (piping); Psychology; Computer science; Materials science","score_opus":0.024179649471837705,"score_gpt":0.298384893743013,"score_spread":0.2742052442711753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394874979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99640566,0.0008074676,0.0004710831,0.00040656087,0.0010116146,0.00016128641,0.00007913803,0.00007253306,0.00058467546],"genre_scores_gemma":[0.9990585,0.000013084111,0.000008971999,0.00057765754,0.00009881794,0.000003614064,0.000008039297,0.000018249735,0.0002130951],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990619,0.000021385938,0.00020584086,0.00028821148,0.00026375556,0.00015893797],"domain_scores_gemma":[0.9994131,0.0002872774,0.00007876712,0.00015816207,0.000025500942,0.00003724396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013535933,0.0001060868,0.00016803828,0.00008310982,0.00006944994,0.00003550971,0.00016871802,0.00027098737,0.000036626378],"category_scores_gemma":[0.00013377829,0.00009115669,0.00009167197,0.00027918397,0.0000724797,0.000072880626,0.000027777154,0.0010588134,0.0000026713951],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002934859,0.00006182479,0.00007834999,0.000055069548,0.0000062709896,0.000011977274,0.000032548138,0.0001315423,0.9920727,0.0049470724,0.0009210546,0.0016522543],"study_design_scores_gemma":[0.0017610455,0.0005270021,0.00034502672,0.0002878268,0.000077979166,0.00002402533,0.000025504045,0.08360955,0.90153104,0.0023771634,0.009130631,0.00030319783],"about_ca_topic_score_codex":0.000004833756,"about_ca_topic_score_gemma":0.0000020931852,"teacher_disagreement_score":0.090541646,"about_ca_system_score_codex":0.000016568696,"about_ca_system_score_gemma":0.000019924402,"threshold_uncertainty_score":0.4600076},"labels":[],"label_agreement":null},{"id":"W4394894506","doi":"10.1016/j.neubiorev.2024.105681","title":"Therapeutic potential of gamma entrainment using sensory stimulation for cognitive symptoms associated with schizophrenia","year":2024,"lang":"en","type":"article","venue":"Neuroscience & Biobehavioral Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; University of Saskatchewan","funders":"Canadian Institutes of Health Research","keywords":"Schizophrenia (object-oriented programming); Entrainment (biomusicology); Stimulation; Sensory system; Neuroscience; Psychology; Psychosis; Sensory stimulation therapy; Cognition; Medicine; Psychiatry; Internal medicine","score_opus":0.11017195216351863,"score_gpt":0.35018612000977245,"score_spread":0.24001416784625382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394894506","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9843268,0.00091527303,0.011970548,0.000014666799,0.0009356345,0.001596681,0.00013672742,0.00009046562,0.0000132158],"genre_scores_gemma":[0.99895185,0.00026704342,0.00011257109,0.00044307898,0.00004965222,0.000057297675,0.000011040068,0.000031523323,0.000075939926],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978024,0.00016504688,0.00045014633,0.0007176246,0.00048616948,0.0003786161],"domain_scores_gemma":[0.99936754,0.000029091965,0.00025329113,0.00018064528,0.000076599295,0.0000928207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039441462,0.0002564943,0.00032170117,0.00015571092,0.00021704246,0.00016444488,0.00018728439,0.00006944442,0.000020426096],"category_scores_gemma":[0.00031737259,0.00018623738,0.00018441552,0.00071239495,0.00031701886,0.00038664837,0.00004244488,0.00017492249,0.000005310121],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008226567,0.00010992438,0.00018134987,0.00004011542,1.9489882e-7,0.000015277323,0.000029039824,0.000107287226,0.8877933,0.00023401366,0.000006102741,0.1114011],"study_design_scores_gemma":[0.0035937196,0.00527262,0.019049758,0.0029079355,0.0013245743,0.00027408035,0.000078800585,0.7276457,0.21527095,0.0006621401,0.022154242,0.0017654726],"about_ca_topic_score_codex":0.000003864448,"about_ca_topic_score_gemma":0.0000024301637,"teacher_disagreement_score":0.7275384,"about_ca_system_score_codex":0.00008401397,"about_ca_system_score_gemma":0.00009172009,"threshold_uncertainty_score":0.759454},"labels":[],"label_agreement":null},{"id":"W4394914158","doi":"10.1016/j.cub.2024.03.061","title":"Stimulus-dependent differences in cortical versus subcortical contributions to visual detection in mice","year":2024,"lang":"en","type":"article","venue":"Current Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; National Eye Institute; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Stimulus (psychology); Neuroscience; Psychology; Cortical neurons; Visual cortex; Cognitive psychology","score_opus":0.0527870778003149,"score_gpt":0.369389683523967,"score_spread":0.3166026057236521,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394914158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894879,0.0001307202,0.0041472884,0.00059573,0.005261052,0.00022863477,0.000043262276,0.00006477813,0.00004066068],"genre_scores_gemma":[0.9996753,0.000073777155,0.0000025154773,0.00006026071,0.0001131878,0.000047283225,0.000008638226,0.000005808404,0.000013281942],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986546,0.00020881544,0.00025501617,0.00046093983,0.00009102309,0.00032960039],"domain_scores_gemma":[0.99911463,0.0006978373,0.00001652823,0.00006687506,0.000017905424,0.000086196436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014295503,0.00011215048,0.00015433562,0.00022327663,0.000050587,0.000040249135,0.00010091193,0.00008791532,0.000031305946],"category_scores_gemma":[0.0010946757,0.00009315801,0.00003859481,0.00045758986,0.000087616296,0.00006184509,0.000077812,0.00039640232,0.00013847384],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046558407,0.00027243397,0.0057543092,0.000017724247,0.000003046843,0.000037262947,0.00005571301,0.00002820997,0.90877473,0.020343266,0.000023528013,0.064224176],"study_design_scores_gemma":[0.0048844684,0.005240408,0.25253847,0.00026445385,0.000062473686,0.00007243625,0.00012263852,0.5189146,0.20199303,0.007971703,0.0066990107,0.0012363275],"about_ca_topic_score_codex":0.0000355893,"about_ca_topic_score_gemma":0.00039775704,"teacher_disagreement_score":0.7067817,"about_ca_system_score_codex":0.00016738474,"about_ca_system_score_gemma":0.00003992773,"threshold_uncertainty_score":0.37988734},"labels":[],"label_agreement":null},{"id":"W4394998793","doi":"10.1016/j.neuron.2024.03.031","title":"Taking consciousness for real: Increasing the ecological validity of the study of conscious vs. unconscious processes","year":2024,"lang":"en","type":"review","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"H2020 European Research Council; European Research Council; Canadian Institute for Advanced Research","keywords":"Unconscious mind; Consciousness; Ecological validity; Psychology; Cognition; Cognitive psychology; Field (mathematics); Cognitive science; Process (computing); Ecology; Computer science; Neuroscience","score_opus":0.1321937965766182,"score_gpt":0.36311272604725114,"score_spread":0.23091892947063294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394998793","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61183417,0.35755557,0.000015073461,0.0005268734,0.00946472,0.018443348,0.00075972785,0.00036364072,0.0010369152],"genre_scores_gemma":[0.47652462,0.52277374,0.0000037895845,0.00014244631,0.00012582408,0.00026318326,0.000004044241,0.00006628851,0.0000960183],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9957138,0.0013836155,0.0012806408,0.0008036059,0.0004909092,0.00032745642],"domain_scores_gemma":[0.990556,0.006041215,0.0025083642,0.00069152546,0.00015840559,0.00004450242],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0010264907,0.00043614508,0.0013653932,0.00012320236,0.0003657701,0.000100618854,0.0010341174,0.00019282373,0.000007221702],"category_scores_gemma":[0.009605109,0.00020546609,0.00046685548,0.0009955607,0.00047400667,0.000060990387,0.0004616503,0.000618902,0.000003263492],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007119077,0.006559377,0.0022609304,0.2115882,0.00042848967,0.0002921388,0.0021202478,0.00022889834,0.0056578526,0.004829158,0.0044579534,0.76086485],"study_design_scores_gemma":[0.0032921084,0.01193836,0.0032910905,0.026133971,0.0154580865,0.0018535372,0.0007387032,0.0014565983,0.002161372,0.0043960386,0.9262694,0.00301071],"about_ca_topic_score_codex":0.00010757608,"about_ca_topic_score_gemma":0.0003619967,"teacher_disagreement_score":0.92181146,"about_ca_system_score_codex":0.00006640486,"about_ca_system_score_gemma":0.0005027566,"threshold_uncertainty_score":0.9987374},"labels":[],"label_agreement":null},{"id":"W4395454126","doi":"10.1007/978-3-031-54864-2_17","title":"Synaptic Tagging in the ACC: Basic Mechanisms and Functional Implications","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Neuroscience; Computer science; Communication; Biology; Psychology","score_opus":0.04328813531397106,"score_gpt":0.2430344540199174,"score_spread":0.19974631870594634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395454126","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006005966,0.0001036506,0.0020773045,0.013409162,0.00089644763,0.00056798797,0.00006189176,0.00014890033,0.98213404],"genre_scores_gemma":[0.3461944,0.00022505905,0.00006865177,0.009954022,0.0001946008,0.000078221376,0.00003063705,0.00006620537,0.64318824],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99899614,0.0000141727305,0.00017650695,0.0004799427,0.0001916616,0.00014158517],"domain_scores_gemma":[0.99934965,0.000320973,0.00004968355,0.00023658099,0.0000129902355,0.000030118656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000138012,0.00017890785,0.000118881915,0.00016199712,0.00013286831,0.00013925819,0.00013589786,0.00010927475,0.0003263366],"category_scores_gemma":[0.000033441633,0.0001181046,0.00006274753,0.00006767264,0.00006198916,0.0000765056,0.0000917064,0.00038808034,0.00020132263],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000027573374,0.0000048038396,4.9839576e-7,0.000014219428,0.0000052736887,0.000010737879,0.000012332136,0.000008211307,0.013290858,0.9847755,0.0007200925,0.0011547473],"study_design_scores_gemma":[0.00008138527,0.000053731757,0.00012160736,0.000052423726,0.00004010902,0.00022742905,0.000015138547,0.0030623989,0.0001546266,0.9496683,0.046304356,0.00021849884],"about_ca_topic_score_codex":0.000005385631,"about_ca_topic_score_gemma":0.000034001885,"teacher_disagreement_score":0.34559378,"about_ca_system_score_codex":0.000037490885,"about_ca_system_score_gemma":0.000023542907,"threshold_uncertainty_score":0.48161662},"labels":[],"label_agreement":null},{"id":"W4395462287","doi":"10.1162/neco_a_01656","title":"The Determining Role of Covariances in Large Networks of Stochastic Neurons","year":2024,"lang":"en","type":"article","venue":"Neural Computation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Moment closure; Curse of dimensionality; Mean field theory; Dynamical systems theory; Moment (physics); Applied mathematics; Nonlinear system; Mathematics; Markov chain; Statistical physics; Limit (mathematics); Stochastic neural network; Dynamical system (definition); Artificial neural network; Computer science; Recurrent neural network; Physics; Mathematical analysis; Artificial intelligence","score_opus":0.01852305199101199,"score_gpt":0.27010997619748656,"score_spread":0.25158692420647455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395462287","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96904653,0.00013981227,0.029534578,0.00015871406,0.0007810902,0.00015022515,0.0000053939443,0.000034523993,0.0001491232],"genre_scores_gemma":[0.9998471,0.000008465771,0.000020344483,0.000060733037,0.00003408758,0.0000047719795,0.0000022373006,0.000008135203,0.000014139489],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992306,0.000097201686,0.00022937306,0.00017061326,0.00013740468,0.00013476697],"domain_scores_gemma":[0.9989689,0.00085408514,0.00007847476,0.00006485575,0.000018678316,0.000015028076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001334554,0.000065248714,0.000088566274,0.00006641439,0.000068704896,0.000041715004,0.00009453042,0.00002351715,0.0000015390725],"category_scores_gemma":[0.00013004131,0.00004801819,0.00003745113,0.0003605463,0.000048309237,0.000120941375,0.000035298042,0.00013132783,0.0000012895707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050833707,0.000031062613,0.00029615333,0.00003179169,0.000002287885,0.000010295402,0.00022854129,0.7360369,0.1444993,0.009429002,0.000015079942,0.10936878],"study_design_scores_gemma":[0.0000973924,0.0001027794,0.0059699207,0.000032466432,0.0000039332626,0.000008421034,0.000028276536,0.99007106,0.0015217378,0.0020993317,0.000024053175,0.00004063158],"about_ca_topic_score_codex":0.000006756146,"about_ca_topic_score_gemma":0.000024415373,"teacher_disagreement_score":0.2540342,"about_ca_system_score_codex":0.000009623377,"about_ca_system_score_gemma":0.000014462924,"threshold_uncertainty_score":0.19581251},"labels":[],"label_agreement":null},{"id":"W4395674001","doi":"10.5376/bm.2024.15.0003","title":"Unveiling the Mechanism of Proprioception in Primates: The Application of Task-Driven Neural Network Models","year":2024,"lang":"en","type":"article","venue":"Bioscience Methods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mechanism (biology); Task (project management); Proprioception; Neuroscience; Artificial neural network; Computer science; Artificial intelligence; Communication; Cognitive science; Biology; Psychology; Engineering; Philosophy; Epistemology","score_opus":0.06389666896708411,"score_gpt":0.3569771324151138,"score_spread":0.2930804634480297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395674001","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29727834,0.00011880275,0.6999538,0.0009624765,0.0007543568,0.0006049303,0.0000056705735,0.000047146706,0.0002745014],"genre_scores_gemma":[0.9868201,0.000048768587,0.012814196,0.00018403234,0.000045904424,0.00004094957,6.036994e-7,0.000008398447,0.000037052127],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99840355,0.00046062525,0.00029824502,0.000353947,0.00028198812,0.00020166472],"domain_scores_gemma":[0.99890965,0.00061270146,0.00013367398,0.0002917108,0.00003199194,0.000020268062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020167632,0.000095839365,0.0001231481,0.00007438411,0.00013523198,0.000050622155,0.00045099496,0.000043828426,0.0000030710805],"category_scores_gemma":[0.00021619114,0.000050346895,0.00006297108,0.0013836301,0.0002776142,0.00022583868,0.00011318023,0.00016091805,0.0000018918278],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000051256366,0.0000130433045,0.000015165723,0.000025652012,5.7828765e-7,2.906854e-7,0.0002226261,0.043100476,0.8072174,0.11922202,0.0000056057597,0.030171985],"study_design_scores_gemma":[0.00002879484,0.000046040146,0.00023965718,0.000023087405,0.0000056851254,0.0000048197553,0.000051157167,0.84366554,0.11521074,0.040577047,0.00009843738,0.000049010137],"about_ca_topic_score_codex":0.000033763852,"about_ca_topic_score_gemma":0.000006339564,"teacher_disagreement_score":0.80056506,"about_ca_system_score_codex":0.000030631152,"about_ca_system_score_gemma":0.000049251183,"threshold_uncertainty_score":0.20530868},"labels":[],"label_agreement":null},{"id":"W4395701620","doi":"10.1101/2024.04.22.590560","title":"Neural activity for complex sounds in the marmoset medial prefrontal cortex","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Robarts Clinical Trials","funders":"","keywords":"Marmoset; Prefrontal cortex; Neuroscience; Consumer neuroscience; Psychology; Ventrolateral prefrontal cortex; Neural activity; Cognitive psychology; Biology; Cognition","score_opus":0.03963003020735686,"score_gpt":0.25892085132309206,"score_spread":0.2192908211157352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395701620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99072325,0.0000635892,0.00027363925,0.001360958,0.0043208473,0.0017359192,0.0012176736,0.00027478076,0.000029363157],"genre_scores_gemma":[0.9973174,0.000032857508,0.00020339683,0.0009769746,0.0008017175,0.0005453998,0.0000011409502,0.00010906052,0.000012060268],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99674916,0.00030500267,0.00042196584,0.0013407025,0.00054399314,0.0006391535],"domain_scores_gemma":[0.9981659,0.0004483712,0.0002574557,0.00091131416,0.0000893388,0.00012758996],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00064954534,0.0005403575,0.0004713026,0.00022909751,0.00022942743,0.0005389869,0.0009115967,0.00035869709,0.000025436899],"category_scores_gemma":[0.0004425936,0.00043977235,0.00025200692,0.0005186561,0.00020307442,0.00014449803,0.0007011503,0.0013207395,0.00003769908],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012213273,0.0001410633,0.00030221065,0.00027346078,0.000013944747,0.00007450073,0.000017175475,0.000047635407,0.9967613,0.0013322044,0.0009047716,0.000009548601],"study_design_scores_gemma":[0.0020803502,0.00057248323,0.56152385,0.0003650186,0.00027882314,5.1431e-7,0.000010698128,0.19434674,0.2260705,0.00040904738,0.011951512,0.0023904275],"about_ca_topic_score_codex":0.00005279789,"about_ca_topic_score_gemma":0.000032761112,"teacher_disagreement_score":0.77069086,"about_ca_system_score_codex":0.00025760868,"about_ca_system_score_gemma":0.00026621256,"threshold_uncertainty_score":0.9998054},"labels":[],"label_agreement":null},{"id":"W4396530378","doi":"10.7554/elife.90080.3","title":"Aberrant cortical activity, functional connectivity, and neural assembly architecture after photothrombotic stroke in mice","year":2024,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Forelimb; Neuroscience; Somatosensory system; Barrel cortex; Calcium imaging; Cortex (anatomy); Neuroplasticity; Cerebral cortex; Stroke (engine); Biological neural network; Biology; Medicine; Calcium; Internal medicine; Physics","score_opus":0.02367334423374939,"score_gpt":0.25891614192522455,"score_spread":0.23524279769147516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396530378","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948481,0.000075755626,0.0009701724,0.0023450376,0.0010971933,0.00021429955,0.000044537694,0.00011233657,0.00029258075],"genre_scores_gemma":[0.9979821,0.000022818454,0.000025230333,0.0013114358,0.00015613159,0.000032510117,0.0000020409025,0.000024264624,0.0004434588],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984565,0.0001564617,0.00015417371,0.0005730465,0.0003554273,0.00030442872],"domain_scores_gemma":[0.99893755,0.00080281124,0.000023566832,0.000120195196,0.000013704152,0.000102197635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016145047,0.0001806111,0.00017962795,0.00015387886,0.000084003084,0.00017809398,0.00006060425,0.00008140381,0.00007049071],"category_scores_gemma":[0.0002905471,0.00015274924,0.00006839929,0.0002522518,0.00011605323,0.00019110931,0.00010851548,0.0005774497,0.000025560998],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017007753,0.00009398745,0.0015869216,0.000048664177,0.0000064152036,0.00026695625,0.000088468056,0.00025895386,0.9923346,0.00068349944,0.00012235646,0.004339107],"study_design_scores_gemma":[0.00093928055,0.00045006748,0.5993209,0.00011477712,0.00004197258,0.0008463844,0.000023293798,0.2609994,0.13446335,0.0010491295,0.0011613646,0.00059011666],"about_ca_topic_score_codex":0.00003381527,"about_ca_topic_score_gemma":0.00017870794,"teacher_disagreement_score":0.85787123,"about_ca_system_score_codex":0.000048260954,"about_ca_system_score_gemma":0.000039968327,"threshold_uncertainty_score":0.62289333},"labels":[],"label_agreement":null},{"id":"W4396544623","doi":"10.3390/life14050578","title":"The Pathophysiological Underpinnings of Gamma-Band Alterations in Psychiatric Disorders","year":2024,"lang":"en","type":"article","venue":"Life","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Neurochemical; Neuroscience; Schizophrenia (object-oriented programming); Neuroinflammation; Bipolar disorder; Major depressive disorder; Abnormality; Pathophysiology; Psychosis; Psychology; Psychiatry; Medicine; Inflammation; Cognition; Pathology; Internal medicine","score_opus":0.01812130996860657,"score_gpt":0.2607722819228495,"score_spread":0.24265097195424296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396544623","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99142814,0.00017440163,0.00038207415,0.0055192797,0.0007137993,0.00011108027,0.0000051958314,0.000035745485,0.0016302924],"genre_scores_gemma":[0.99887633,0.00021913057,0.00001323764,0.00053885893,0.00005339814,0.000010148451,0.000001020464,0.0000045419033,0.00028331456],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99946856,0.000052523174,0.00013262202,0.00016044399,0.000085614745,0.000100202626],"domain_scores_gemma":[0.999549,0.00031602598,0.000021865022,0.000087549306,0.00000419135,0.000021380923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000071543895,0.000048842165,0.000052187122,0.00004426108,0.000088843866,0.000049028065,0.00008479208,0.000023807215,0.000008586932],"category_scores_gemma":[0.00019395332,0.000029032817,0.000039760977,0.00036061197,0.000060298546,0.000056511748,0.000015906318,0.000108011525,0.000013204364],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010072891,0.00016218725,0.0017889353,0.00007438604,0.0000059274926,0.0000100786065,0.00036717101,0.0017617712,0.72568554,0.24645342,0.0043595135,0.019230336],"study_design_scores_gemma":[0.0012209066,0.0013722266,0.13081495,0.00014699402,0.000036612502,0.00001804508,0.00036653221,0.305306,0.020311045,0.48413953,0.055468757,0.0007983941],"about_ca_topic_score_codex":0.000012008541,"about_ca_topic_score_gemma":0.000026555477,"teacher_disagreement_score":0.7053745,"about_ca_system_score_codex":0.0000067889177,"about_ca_system_score_gemma":0.00002157067,"threshold_uncertainty_score":0.11839239},"labels":[],"label_agreement":null},{"id":"W4396551329","doi":"10.7554/elife.97100.1.sa3","title":"eLife Assessment: Syngap1 regulates the synaptic drive and membrane excitability of Parvalbumin-positive interneurons in mouse auditory cortex","year":2024,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Parvalbumin; Neuroscience; Auditory cortex; Interneuron; Synaptic membrane; Psychology; Chemistry; Biology; Membrane; Inhibitory postsynaptic potential","score_opus":0.022173867750478426,"score_gpt":0.2975568095443549,"score_spread":0.2753829417938765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396551329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83284605,0.010722722,0.00018735278,0.09891257,0.024380218,0.008949362,0.0041317223,0.0005261778,0.019343833],"genre_scores_gemma":[0.86975306,0.012257836,0.000039378247,0.004652531,0.0002741041,0.00018014408,0.00014160477,0.000099840334,0.11260151],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99649936,0.00062012847,0.00078220846,0.0011307147,0.0006219376,0.00034562562],"domain_scores_gemma":[0.996777,0.0019510067,0.0003527035,0.00070117856,0.0001253365,0.000092789334],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007235733,0.00046293423,0.0008118738,0.0001801258,0.00009125299,0.00009513097,0.00048760558,0.00020059854,0.00016178098],"category_scores_gemma":[0.000887572,0.00030207535,0.00022627827,0.00039275724,0.00059056317,0.00014544601,0.00048897386,0.00108583,0.000024181954],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017194092,0.000972944,0.00014332622,0.02147205,0.00037846473,0.0004154621,0.00047123904,0.00008773646,0.6187311,0.0134052,0.3369601,0.0067904457],"study_design_scores_gemma":[0.004355157,0.006080941,0.04436707,0.057032377,0.005118088,0.0014444973,0.000928596,0.21690622,0.15523507,0.013693159,0.48593396,0.008904849],"about_ca_topic_score_codex":0.00021881252,"about_ca_topic_score_gemma":0.00041406552,"teacher_disagreement_score":0.463496,"about_ca_system_score_codex":0.00014709278,"about_ca_system_score_gemma":0.00016187731,"threshold_uncertainty_score":0.99994314},"labels":[],"label_agreement":null},{"id":"W4396567209","doi":"10.7554/elife.97100.1","title":"Syngap1 regulates the synaptic drive and membrane excitability of Parvalbumin-positive interneurons in mouse auditory cortex","year":2024,"lang":"en","type":"preprint","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Université de Montréal; Université du Québec à Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Parvalbumin; Neuroscience; Auditory cortex; Interneuron; Synaptic membrane; Biology; Chemistry; Psychology; Membrane; Inhibitory postsynaptic potential","score_opus":0.016328908628283633,"score_gpt":0.250277991688829,"score_spread":0.2339490830605454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396567209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99580634,0.0001584587,0.000015077243,0.0008075519,0.001986192,0.0006404759,0.00018017639,0.00006646298,0.0003392876],"genre_scores_gemma":[0.998583,0.00027223097,0.000013741855,0.00029504253,0.0001358004,0.000052289455,0.000008506211,0.00003340185,0.0006059872],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99776566,0.00035770732,0.00044756508,0.00084597344,0.0003463852,0.00023670681],"domain_scores_gemma":[0.9981198,0.0009882513,0.0002106965,0.0005580336,0.00005681303,0.00006645555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003814009,0.00028071133,0.00038067697,0.00013319404,0.00006504331,0.00008050153,0.00030030592,0.00016972523,0.000016624765],"category_scores_gemma":[0.0007799613,0.00020499688,0.00012904062,0.00016282573,0.0005086107,0.00005526472,0.0012522242,0.0010144776,0.000018904931],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012855325,0.00016106006,0.0003643131,0.00060442305,0.00005278856,0.000116989206,0.0012051177,0.00066102843,0.99313474,0.0026356988,0.00030599986,0.0006292838],"study_design_scores_gemma":[0.00079816394,0.00061105203,0.0905058,0.0015666325,0.00026216096,0.00016043591,0.00046138687,0.15847677,0.72722983,0.01832576,0.00037668712,0.0012253433],"about_ca_topic_score_codex":0.00012954827,"about_ca_topic_score_gemma":0.000119560056,"teacher_disagreement_score":0.26590493,"about_ca_system_score_codex":0.0000846181,"about_ca_system_score_gemma":0.00008286079,"threshold_uncertainty_score":0.835953},"labels":[],"label_agreement":null},{"id":"W4396620435","doi":"10.1016/j.celrep.2024.114189","title":"Highly local activation of inhibition at the seizure wavefront in vivo","year":2024,"lang":"en","type":"article","venue":"Cell Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Brain Institute; Toronto Rehabilitation Institute; University of Toronto; University Health Network","funders":"University of Toronto; Mitacs; Wellcome Trust","keywords":"Optogenetics; Penumbra; Neuroscience; Wavefront; In vivo; Premovement neuronal activity; Epilepsy; Biological neural network; Epileptic seizure; Neuron; Depolarization; Medicine; Physics; Biology; Optics; Internal medicine","score_opus":0.013441767079953358,"score_gpt":0.22406164767903308,"score_spread":0.2106198805990797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396620435","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909332,0.000034455752,0.0006984063,0.00057358143,0.00053171214,0.00017111734,0.0000028183836,0.00003653703,0.0070182006],"genre_scores_gemma":[0.99371856,0.000016370066,0.000004307197,0.0001800812,0.000039505736,0.000009256052,0.000004795534,0.000009688879,0.006017425],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991695,0.000037605278,0.00023030407,0.00026344802,0.00019691329,0.00010221683],"domain_scores_gemma":[0.9996129,0.00009673322,0.00008681761,0.00017043526,0.000014012605,0.000019045676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016219515,0.00006828935,0.000068347814,0.00005970858,0.000047820602,0.000023589408,0.000026208121,0.000045717286,0.00007670011],"category_scores_gemma":[0.000059343096,0.000046065208,0.000041604573,0.000230632,0.000058661255,0.00011928126,0.00004224739,0.00010856639,0.000009087171],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010376459,0.00002323113,0.000074511685,0.00003755669,5.195845e-7,0.0003050521,0.00008724223,0.0007207231,0.9934927,0.00028930316,0.0032991797,0.0016595634],"study_design_scores_gemma":[0.000040053015,0.000032545846,0.00035902386,0.000045076904,0.0000032608127,0.00012368751,0.000018424565,0.007597174,0.97398436,0.0012682389,0.016474623,0.00005353608],"about_ca_topic_score_codex":0.00004889706,"about_ca_topic_score_gemma":0.000028585719,"teacher_disagreement_score":0.019508386,"about_ca_system_score_codex":0.00009516529,"about_ca_system_score_gemma":0.00002893375,"threshold_uncertainty_score":0.18784848},"labels":[],"label_agreement":null},{"id":"W4396663624","doi":"10.1101/2024.05.02.592033","title":"Hemispheric specialization of functions are tuned by conduction velocities of neuronal propagation in large-scale brain networks","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Connectome; Lateralization of brain function; Context (archaeology); Computer science; Electroencephalography; Neuroscience; Psychology; Brain activity and meditation; Cognitive psychology; Functional connectivity; Biology","score_opus":0.014041832279177753,"score_gpt":0.21370076032542193,"score_spread":0.1996589280462442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396663624","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98781055,0.00018848303,0.007501385,0.00040740424,0.0027037452,0.00069715217,0.00050970813,0.0001619739,0.000019611663],"genre_scores_gemma":[0.99906164,0.00013103778,0.000108365246,0.0001510645,0.00031362352,0.000098869474,0.000003845547,0.0000800399,0.000051494695],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99745095,0.00022643224,0.0007295372,0.000847441,0.0004197978,0.00032583086],"domain_scores_gemma":[0.9983829,0.000115698764,0.00070432073,0.00046262355,0.00025716668,0.00007726262],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00039291833,0.00034669245,0.000462129,0.00027245318,0.000094220624,0.00008910628,0.00023200593,0.0003231431,0.00004338902],"category_scores_gemma":[0.00038889312,0.0003796999,0.00012964048,0.0012090418,0.00015743234,0.00020133406,0.00026553593,0.0006645514,0.00000801898],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053612308,0.00017016144,0.0008563314,0.00052496704,0.0000131814195,0.0000049280134,0.00001622991,0.0045296913,0.9920918,0.00058288564,0.0011514015,0.0000048640486],"study_design_scores_gemma":[0.00058307406,0.00012625958,0.030805748,0.00071090594,0.000076584656,5.6427673e-8,0.000026400423,0.08392218,0.88212836,0.00002933803,0.0009960032,0.00059511774],"about_ca_topic_score_codex":0.000029904195,"about_ca_topic_score_gemma":0.000014667609,"teacher_disagreement_score":0.10996341,"about_ca_system_score_codex":0.00019247382,"about_ca_system_score_gemma":0.00018463518,"threshold_uncertainty_score":0.9998655},"labels":[],"label_agreement":null},{"id":"W4396709360","doi":"10.1063/5.0201838","title":"Non-trivial relationship between behavioral avalanches and internal neuronal dynamics in a recurrent neural network","year":2024,"lang":"en","type":"article","venue":"Chaos An Interdisciplinary Journal of Nonlinear Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge; University of Calgary","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Dynamics (music); Network dynamics; Biological neural network; Chaotic; Premovement neuronal activity; Statistical physics; Recurrent neural network; Probability distribution; Population; Neuroscience; Complex dynamics; Computer science; Artificial neural network; Artificial intelligence; Physics; Psychology; Mathematics; Statistics","score_opus":0.056659273098095854,"score_gpt":0.3632502053251077,"score_spread":0.30659093222701184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396709360","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951379,0.000054540287,0.0006296598,0.0010160438,0.002869084,0.00013630984,0.00003145624,0.000024660527,0.00010035916],"genre_scores_gemma":[0.9982578,0.000015867214,0.0005072942,0.000050230272,0.0010627388,0.0000023333962,0.000004285129,0.000021522406,0.000077936995],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997666,0.00010503725,0.0006843962,0.0005298955,0.00058226887,0.0004324131],"domain_scores_gemma":[0.9989471,0.00029001271,0.00022956381,0.00018321964,0.000084534906,0.00026557606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010901018,0.00021481059,0.00028113526,0.0005895004,0.00037837672,0.00044939326,0.00065160566,0.00006863738,0.000012121163],"category_scores_gemma":[0.00014342945,0.00017390594,0.00011834676,0.0010190165,0.0006200739,0.0015895505,0.00062815,0.000983422,0.000006741453],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00078663655,0.0009779108,0.81620747,0.00023735473,0.000016807082,0.0023499331,0.005980664,0.004651753,0.043633074,0.004352239,0.00037338707,0.120432764],"study_design_scores_gemma":[0.0003775415,0.0019656378,0.28023437,0.00041381718,0.000022991475,0.001046041,0.0002699185,0.7117992,0.00051716715,0.003049411,0.00004307621,0.00026084678],"about_ca_topic_score_codex":0.000005325432,"about_ca_topic_score_gemma":0.0000486236,"teacher_disagreement_score":0.7071474,"about_ca_system_score_codex":0.00026822402,"about_ca_system_score_gemma":0.00018136788,"threshold_uncertainty_score":0.70916784},"labels":[],"label_agreement":null},{"id":"W4396770123","doi":"10.7554/elife.95764.1.sa4","title":"Author response: Shortcutting from self-motion signals: quantifying trajectories and active sensing in an open maze","year":2024,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Motion (physics); Computer science; Artificial intelligence","score_opus":0.16521407701527624,"score_gpt":0.39984926817145494,"score_spread":0.2346351911561787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396770123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84210676,0.0055721765,0.0012147175,0.12232009,0.016482783,0.006135893,0.0024908802,0.0012412901,0.002435383],"genre_scores_gemma":[0.795689,0.0021551044,0.005176234,0.011534165,0.0015329568,0.00012891357,0.0013236116,0.00050811813,0.18195193],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99575657,0.0012247511,0.0006071616,0.0015428461,0.0004816381,0.00038704404],"domain_scores_gemma":[0.99764067,0.0015041254,0.00024560466,0.00039919076,0.00008831535,0.00012211785],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015277911,0.00046124068,0.00072036736,0.00031045012,0.00019114131,0.0010174372,0.00039892536,0.000298589,0.00013442068],"category_scores_gemma":[0.0013864401,0.00040044868,0.00008279773,0.00066837826,0.000060792972,0.00077429495,0.00049481366,0.0009362598,0.000021609614],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011338453,0.00021510833,0.00007057328,0.0031682055,0.00007264325,0.0008141981,0.0028905557,0.000029591076,0.78231865,0.0006490409,0.060918458,0.14771914],"study_design_scores_gemma":[0.0011886809,0.0013804126,0.00444171,0.02868056,0.00094049366,0.00032330974,0.0015300432,0.16601896,0.032552615,0.006333899,0.75258,0.0040293084],"about_ca_topic_score_codex":0.0010185655,"about_ca_topic_score_gemma":0.0017631828,"teacher_disagreement_score":0.749766,"about_ca_system_score_codex":0.00021102837,"about_ca_system_score_gemma":0.00017296817,"threshold_uncertainty_score":0.99984473},"labels":[],"label_agreement":null},{"id":"W4396770206","doi":"10.7554/elife.95764","title":"Shortcutting from self-motion signals reveals a cognitive map in mice","year":2024,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Krembil Foundation","keywords":"Motion (physics); Computer science; Neuroscience; Artificial intelligence; Biology","score_opus":0.02659360257650882,"score_gpt":0.2765440400693091,"score_spread":0.24995043749280027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396770206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99565995,0.00017029802,0.0007302673,0.00082766457,0.0008400366,0.00022033563,0.00007284605,0.00021927094,0.0012593546],"genre_scores_gemma":[0.9974458,0.000036481586,0.00009423326,0.0016986878,0.0002403933,0.000017617389,0.00001806281,0.00001778891,0.00043089138],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988254,0.00012538893,0.0002051733,0.0004222199,0.00023218872,0.0001896876],"domain_scores_gemma":[0.99921286,0.00061395956,0.0000358885,0.0000684433,0.000022814222,0.000046050416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023309939,0.00010357685,0.00010964164,0.00010156863,0.000057767014,0.000114443515,0.00006487715,0.000053894655,0.00008899563],"category_scores_gemma":[0.0003433479,0.0000961453,0.000046551046,0.00030525832,0.00001809292,0.00020949481,0.000043121898,0.0001973118,0.0003887373],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018167364,0.0000507645,0.00091023615,0.000033480817,0.0000058035853,0.00018891855,0.00044473697,0.000030128433,0.9902388,0.00056188257,0.0008849916,0.0066320905],"study_design_scores_gemma":[0.0010526245,0.0003013104,0.02739214,0.0017725717,0.00009577598,0.000064635184,0.00048546278,0.23111522,0.7164513,0.011241263,0.009012588,0.0010151195],"about_ca_topic_score_codex":0.00004899282,"about_ca_topic_score_gemma":0.00001749513,"teacher_disagreement_score":0.27378753,"about_ca_system_score_codex":0.000046952286,"about_ca_system_score_gemma":0.000020998552,"threshold_uncertainty_score":0.49965614},"labels":[],"label_agreement":null},{"id":"W4396770408","doi":"10.7554/elife.95764.1","title":"Shortcutting from self-motion signals: quantifying trajectories and active sensing in an open maze","year":2024,"lang":"en","type":"preprint","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Krembil Foundation","keywords":"Motion (physics); Computer science; Artificial intelligence","score_opus":0.10913942213007734,"score_gpt":0.34802523639380184,"score_spread":0.23888581426372452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396770408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964698,0.00008328512,0.00029704487,0.00028618827,0.0016748206,0.0005624075,0.00012317713,0.00018798918,0.00031527216],"genre_scores_gemma":[0.998165,0.00008733579,0.00096572173,0.0003074043,0.0003216011,0.000012264607,0.000056049106,0.000049333736,0.000035294586],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99770844,0.00030205373,0.00033568052,0.0011035376,0.00030042304,0.00024983782],"domain_scores_gemma":[0.9991164,0.0003270484,0.00015528433,0.00027961135,0.00004080464,0.000080806545],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038119094,0.00027289195,0.00033615518,0.00016950084,0.00012337016,0.0009950659,0.00023270224,0.00020478135,0.000012208916],"category_scores_gemma":[0.00028345283,0.00026782157,0.00004450634,0.00021308336,0.000040954896,0.00034847882,0.0013839954,0.0009054379,0.000010443234],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001025312,0.00008846085,0.0014196332,0.00018155338,0.000023998988,0.00024887043,0.0059110643,0.0007880046,0.9581101,0.00059601746,0.000027674678,0.032502104],"study_design_scores_gemma":[0.0006012287,0.00022847776,0.026799284,0.0017084609,0.00013734857,0.000049988746,0.0016341051,0.73500687,0.20792833,0.024069289,0.00045963362,0.0013769806],"about_ca_topic_score_codex":0.00086709973,"about_ca_topic_score_gemma":0.0006424172,"teacher_disagreement_score":0.75018173,"about_ca_system_score_codex":0.00012546788,"about_ca_system_score_gemma":0.000083174804,"threshold_uncertainty_score":0.9999774},"labels":[],"label_agreement":null},{"id":"W4396809840","doi":"10.1101/2024.05.08.593229","title":"An unbiased method to partition diverse neuronal responses into functional ensembles reveals interpretable population dynamics during innate social behavior","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"National Defense Science and Engineering Graduate; National Institute of Mental Health; Yale University; Howard Hughes Medical Institute","keywords":"Dynamics (music); Partition (number theory); Population; Biology; Computer science; Mathematics; Psychology; Sociology; Combinatorics; Demography","score_opus":0.030635179705698377,"score_gpt":0.2861600927007524,"score_spread":0.255524912995054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396809840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98904824,0.000013496151,0.0049644033,0.0005325862,0.0028956814,0.000925246,0.0009205099,0.0006963587,0.0000034964312],"genre_scores_gemma":[0.99589694,0.000010648916,0.0023256815,0.0005126508,0.00063537696,0.00040379047,0.0000081451535,0.00016528371,0.000041477146],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99533844,0.00083931297,0.00071204966,0.0017979388,0.0007182662,0.0005939646],"domain_scores_gemma":[0.9981526,0.00016916907,0.00038142476,0.0007003424,0.00028470936,0.00031175066],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007756303,0.00062693947,0.0005190955,0.00072655553,0.000637304,0.0006790635,0.00045082232,0.00046223679,0.000060793976],"category_scores_gemma":[0.00047348582,0.00070332544,0.00023104346,0.00086152536,0.000084167536,0.00043292274,0.00079890527,0.0010444315,0.00008842375],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042275732,0.00016522968,0.0028648383,0.0002588484,0.00002251473,0.000100450736,0.000028617776,0.001134398,0.9925157,0.0023662704,0.00008924522,0.000031129515],"study_design_scores_gemma":[0.0005153966,0.00027438664,0.5946236,0.000381856,0.0003158917,3.8332004e-7,0.000013176048,0.030289158,0.3718872,0.00022003133,0.00011487005,0.0013640147],"about_ca_topic_score_codex":0.00024706204,"about_ca_topic_score_gemma":0.00004854622,"teacher_disagreement_score":0.6206285,"about_ca_system_score_codex":0.0009012662,"about_ca_system_score_gemma":0.00024050471,"threshold_uncertainty_score":0.99954176},"labels":[],"label_agreement":null},{"id":"W4396811506","doi":"10.1101/2024.05.09.593381","title":"A Translaminar Spacetime Code Supports Touch-Evoked Traveling Waves","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Traveling wave; Stimulus (psychology); Neuroscience; Sensory system; Calcium imaging; Physics; Perception; Electrophysiology; Inhibitory postsynaptic potential; Communication; Psychology; Chemistry; Mathematics; Calcium; Mathematical analysis","score_opus":0.01944115461214536,"score_gpt":0.23025419646829848,"score_spread":0.21081304185615313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396811506","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9876819,0.000406322,0.0008348189,0.0021026614,0.005436263,0.0011816308,0.0008916516,0.0012973851,0.0001673295],"genre_scores_gemma":[0.9968791,0.00030207,0.00080569705,0.0006446855,0.00072061154,0.00015992585,5.9491794e-7,0.00028364922,0.00020367355],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99513876,0.00021845616,0.0007345633,0.002238365,0.00073438353,0.0009354513],"domain_scores_gemma":[0.9976397,0.00017694605,0.00032941386,0.0013266798,0.0001644139,0.00036283713],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004987718,0.0008874613,0.0007511455,0.00038400808,0.00026431866,0.0006457036,0.00075004285,0.00066318177,0.00013483157],"category_scores_gemma":[0.00033971437,0.00089913333,0.0004021659,0.0007809621,0.00021867477,0.0001760223,0.0005814033,0.0016992943,0.0003331091],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004305046,0.000111746325,0.000053293024,0.000609634,0.00004228922,0.0006136153,0.000030541447,0.0001361308,0.99554175,0.002114971,0.0006909846,0.000012002321],"study_design_scores_gemma":[0.0004538829,0.00014385793,0.0031962113,0.00078555767,0.000230591,3.5497882e-7,0.0000041826424,0.015005676,0.96980923,0.0001908651,0.008696544,0.0014830352],"about_ca_topic_score_codex":0.00004298181,"about_ca_topic_score_gemma":0.000007915982,"teacher_disagreement_score":0.0257325,"about_ca_system_score_codex":0.00023753184,"about_ca_system_score_gemma":0.000522054,"threshold_uncertainty_score":0.99934596},"labels":[],"label_agreement":null},{"id":"W4396885856","doi":"10.1038/s41467-024-48008-7","title":"De novo motor learning creates structure in neural activity that shapes adaptation","year":2024,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"National Institute of Neurological Disorders and Stroke; Engineering and Physical Sciences Research Council; Biotechnology and Biological Sciences Research Council; Fonds de Recherche du Québec - Santé; U.S. Department of Health and Human Services; National Institutes of Health; Simons Foundation; Research Councils UK; Wellcome Trust","keywords":"Adaptation (eye); Artificial neural network; Motor learning; Neural adaptation; Population; Computer science; Repertoire; Neuroscience; Artificial intelligence; Neural activity; Biology","score_opus":0.04499020738689274,"score_gpt":0.30952504348669846,"score_spread":0.2645348360998057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396885856","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991347,0.0015012549,0.00020305887,0.0052392427,0.00026550938,0.00019921396,0.00003893688,0.00021518454,0.0009905599],"genre_scores_gemma":[0.99849784,0.0003150447,0.00037535233,0.00039789602,0.000038423525,0.000020161804,0.00002093934,0.000018062377,0.00031624947],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990978,0.0002571808,0.000096132135,0.0002412203,0.0001400622,0.00016756223],"domain_scores_gemma":[0.99874884,0.00079717045,0.000040419338,0.00035439932,0.000022637456,0.00003652262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000110380264,0.00010887587,0.00008745216,0.00015645754,0.00024843303,0.00019851036,0.00045512232,0.00017528133,0.000026405429],"category_scores_gemma":[0.00047961954,0.0000975642,0.00004967006,0.00045777363,0.000069569716,0.0003630161,0.00014517926,0.0016212703,0.000006948756],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035222525,0.00006339593,0.0038106241,0.000028828297,0.000006302686,0.000014157792,0.00077446864,0.0036967697,0.927316,0.017043123,0.00009672748,0.047114376],"study_design_scores_gemma":[0.000108198685,0.000043208423,0.0430054,0.000041696974,0.000010814491,0.000041465995,0.000087284265,0.9382973,0.007204561,0.0012710164,0.009743666,0.00014542959],"about_ca_topic_score_codex":0.000042657415,"about_ca_topic_score_gemma":0.0005402227,"teacher_disagreement_score":0.9346005,"about_ca_system_score_codex":0.00009498674,"about_ca_system_score_gemma":0.00004083416,"threshold_uncertainty_score":0.7043703},"labels":[],"label_agreement":null},{"id":"W4396898244","doi":"10.1111/cogs.13453","title":"Autonomous Sensory Meridian Response (ASMR) and the Functions of Consciousness","year":2024,"lang":"en","type":"article","venue":"Cognitive Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Consciousness; Phenomenon; Cognitive psychology; Cognition; Psychology; Cognitive science; Epistemology; Neuroscience","score_opus":0.026884880802872147,"score_gpt":0.2812116321313942,"score_spread":0.25432675132852206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396898244","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914956,0.00013117885,0.0011706704,0.0018363238,0.0009080562,0.00025818465,0.00006990961,0.000071364135,0.0040587126],"genre_scores_gemma":[0.99759406,0.000030911702,0.000010466188,0.00054137746,0.000027211061,0.00001607094,3.948307e-7,0.000006752011,0.001772737],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987372,0.00021386372,0.00014065385,0.0004379567,0.00026992566,0.00020040051],"domain_scores_gemma":[0.99726623,0.0023812235,0.000043098742,0.00013186986,0.0001089175,0.000068628404],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0011656526,0.00008998347,0.00010447257,0.0001806041,0.00046046067,0.00016593175,0.00016154289,0.000021133148,0.000028882474],"category_scores_gemma":[0.0029757032,0.000057697816,0.000042360265,0.0009752049,0.0050010555,0.0002945249,0.000106126616,0.00014026737,0.00004820471],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042644725,0.000016498832,0.000043987413,0.00001602494,0.000002984375,0.000026531674,0.00072524115,0.000008527369,0.9632619,0.016235212,0.000044895845,0.019191757],"study_design_scores_gemma":[0.0020357382,0.0005801439,0.023202078,0.00034083487,0.00011657667,0.0007013635,0.003093677,0.104593575,0.849618,0.010561009,0.004558216,0.00059879007],"about_ca_topic_score_codex":0.000012755054,"about_ca_topic_score_gemma":0.000004568971,"teacher_disagreement_score":0.1136439,"about_ca_system_score_codex":0.000023784018,"about_ca_system_score_gemma":0.00024049098,"threshold_uncertainty_score":0.9977068},"labels":[],"label_agreement":null},{"id":"W4396904311","doi":"10.3389/fnsys.2024.1414351","title":"Editorial: Rising stars in systems neuroscience: 2022","year":2024,"lang":"en","type":"editorial","venue":"Frontiers in Systems Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Neuroscience; Stars; Front (military); Volume (thermodynamics); Cognitive science; Psychology; Physics; Engineering; Astronomy; Mechanical engineering","score_opus":0.01461428125198953,"score_gpt":0.2593550294409959,"score_spread":0.2447407481890064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396904311","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002510152,0.0013716462,0.0007288633,0.00010340657,0.9917004,0.0019821739,0.00064673607,0.00037836836,0.0005782721],"genre_scores_gemma":[0.028429562,0.001577707,0.000020285901,0.00019819234,0.9613487,0.00040555265,0.00003132157,0.00026666775,0.007722004],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98442066,0.0014627045,0.0020634201,0.0045722662,0.005390788,0.0020901663],"domain_scores_gemma":[0.9960373,0.00097167597,0.00090898253,0.0014687771,0.00019145354,0.00042181928],"candidate_categories":["metaresearch","metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0032338724,0.0011889896,0.0016225047,0.0025781828,0.00050671597,0.0028176706,0.0032304567,0.0013412512,0.000001930696],"category_scores_gemma":[0.008547576,0.0011467644,0.00027470558,0.006089963,0.0008950898,0.001426177,0.0008148247,0.004430602,0.000046970283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005801518,0.000098256205,0.00021943111,0.0005514618,0.0000010701772,0.00055145845,0.000112548856,0.0077921445,0.0464635,0.00013279285,0.94391257,0.00010677392],"study_design_scores_gemma":[0.0005235825,0.00027434883,0.00005777396,0.0009821602,0.000018946686,0.00004027361,0.00014803704,0.09622748,0.00010399751,0.00010179539,0.9005241,0.0009975374],"about_ca_topic_score_codex":0.0008561443,"about_ca_topic_score_gemma":0.00005338419,"teacher_disagreement_score":0.08843534,"about_ca_system_score_codex":0.0014157328,"about_ca_system_score_gemma":0.0011744578,"threshold_uncertainty_score":0.99995524},"labels":[],"label_agreement":null},{"id":"W4396936227","doi":"10.1101/2024.05.10.593623","title":"Convolutional architectures are cortex-aligned de novo","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"","keywords":"Computer science; Computer architecture; Parallel computing; Neuroscience; Psychology","score_opus":0.017219467386410864,"score_gpt":0.2275172639258997,"score_spread":0.21029779653948882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396936227","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919456,0.00038724803,0.00067313,0.0010470088,0.0036523964,0.0005781337,0.00083190855,0.0008362374,0.00004832862],"genre_scores_gemma":[0.9966469,0.000071182236,0.0006083486,0.0015509251,0.00077664154,0.00015153305,2.9694837e-7,0.00014396834,0.000050230716],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9966221,0.00019988253,0.00045189666,0.0014721603,0.0005614742,0.00069248595],"domain_scores_gemma":[0.9981448,0.00018975888,0.00032170638,0.00088405854,0.00016515031,0.00029450725],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003442398,0.00057914364,0.00045346873,0.00035252888,0.00024228898,0.00039999333,0.000634284,0.0004672142,0.00008566323],"category_scores_gemma":[0.0006202447,0.00057630555,0.0002513133,0.00054002175,0.00023681244,0.0000492356,0.0008654679,0.0010462092,0.00026612787],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003866149,0.00008006554,0.0007964765,0.0003393513,0.000034460933,0.0003520532,0.0000049180276,0.00036580203,0.9892136,0.008246362,0.0005265941,0.0000016787974],"study_design_scores_gemma":[0.0006118771,0.00011617939,0.110024296,0.000899964,0.00019127155,8.8748084e-7,0.0000022752522,0.014039673,0.8650316,0.0007392233,0.0066163945,0.0017263581],"about_ca_topic_score_codex":0.000026337588,"about_ca_topic_score_gemma":0.000004855345,"teacher_disagreement_score":0.12418198,"about_ca_system_score_codex":0.0003980919,"about_ca_system_score_gemma":0.0006408885,"threshold_uncertainty_score":0.99966884},"labels":[],"label_agreement":null},{"id":"W4397004544","doi":"10.7554/elife.97545","title":"GABAergic inhibition in human hMT+ predicts visuo-spatial intelligence mediated through the frontal cortex","year":2024,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Zhejiang University; Ministry of Education, India; Horizon 2020 Framework Programme; National Natural Science Foundation of China; European Commission","keywords":"Frontal cortex; Neuroscience; Perception; Functional magnetic resonance imaging; GABAergic; Psychology; Mediation; Sensory system; Cognitive psychology","score_opus":0.028282472124061535,"score_gpt":0.28385893847353355,"score_spread":0.255576466349472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4397004544","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99088174,0.00009950636,0.003187963,0.0010677116,0.001507146,0.00032448882,0.00003703594,0.0002064115,0.0026879942],"genre_scores_gemma":[0.9978639,0.00009876793,0.000007868443,0.0013319758,0.00026833234,0.000029520375,0.000034233555,0.00002026818,0.0003451189],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998563,0.0001111596,0.00027558516,0.00041445147,0.00039689743,0.00023890981],"domain_scores_gemma":[0.9994877,0.00023116615,0.000046816545,0.0001735304,0.000018470544,0.00004234767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017143805,0.00013837739,0.00010939511,0.00007093878,0.00015968396,0.00012564538,0.00010956682,0.000069428155,0.00015563304],"category_scores_gemma":[0.00021383679,0.0000975563,0.00005680998,0.00041466905,0.00012609505,0.00028322695,0.000086054104,0.00033448194,0.00022326112],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042396303,0.00010830456,0.0001835203,0.000039625516,0.0000052803375,0.000387753,0.0013674168,0.00041713013,0.97724146,0.014832526,0.0025538409,0.0028207714],"study_design_scores_gemma":[0.00072784355,0.0008140759,0.019594522,0.0005073207,0.00003418473,0.00023535137,0.00041191696,0.39047983,0.5551556,0.014544957,0.016723145,0.00077126885],"about_ca_topic_score_codex":0.00028535514,"about_ca_topic_score_gemma":0.00039752733,"teacher_disagreement_score":0.42208585,"about_ca_system_score_codex":0.00006972634,"about_ca_system_score_gemma":0.00003749507,"threshold_uncertainty_score":0.39782307},"labels":[],"label_agreement":null},{"id":"W4397007090","doi":"10.7554/elife.94902","title":"A double dissociation between semantic and spatial cognition in visual to default network pathways","year":2024,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Biotechnology and Biological Sciences Research Council; Université de Bordeaux; European Commission","keywords":"Semantic memory; Functional magnetic resonance imaging; Default mode network; Cognition; Spatial contextual awareness; Cognitive psychology; Psychology; Computer science; Context (archaeology); Episodic memory; Dissociation (chemistry); Neuroscience; Spatial memory; Working memory; Artificial intelligence; Geography; Chemistry","score_opus":0.032212332793142284,"score_gpt":0.287682568378464,"score_spread":0.2554702355853217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4397007090","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953651,0.000022898737,0.0028608914,0.00058955036,0.00048389533,0.00023711096,0.000014342737,0.000087162145,0.00033903762],"genre_scores_gemma":[0.99887204,0.000017256503,0.000018523633,0.00049153314,0.00045926622,0.000017928207,0.00001928681,0.000012361948,0.00009181585],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991748,0.00004342731,0.00014182636,0.00027065276,0.00018951016,0.00017983868],"domain_scores_gemma":[0.99970764,0.00015653703,0.000022394257,0.000044746743,0.000012058528,0.00005662337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017037187,0.00007729339,0.00009168195,0.000071237046,0.000077535835,0.000117151554,0.000030049086,0.000046576046,0.00000876789],"category_scores_gemma":[0.00008956008,0.00007263245,0.000021654952,0.00030296922,0.000012804835,0.00012019279,0.00004241289,0.00011034694,0.000073896],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044715247,0.00021898557,0.08078717,0.00029613034,0.00003119428,0.00030916187,0.002528195,0.0020566504,0.6659909,0.009514068,0.0042478354,0.23357257],"study_design_scores_gemma":[0.0021120308,0.0008981352,0.5207704,0.0006200529,0.00008860335,0.000029211295,0.00007895877,0.3818059,0.07656,0.009859754,0.006289553,0.00088743004],"about_ca_topic_score_codex":0.00010958042,"about_ca_topic_score_gemma":0.00025538597,"teacher_disagreement_score":0.58943087,"about_ca_system_score_codex":0.000033665547,"about_ca_system_score_gemma":0.000016181704,"threshold_uncertainty_score":0.29618654},"labels":[],"label_agreement":null},{"id":"W4397031963","doi":"10.1016/j.bbr.2024.115062","title":"Application of scaling to mouse spontaneous movement: Path curvature varies with speed and linear distance features isochrony","year":2024,"lang":"en","type":"article","venue":"Behavioural Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Curvature; Scaling; Path (computing); Physics; Neuroscience; Psychology; Geometry; Mathematics; Computer science","score_opus":0.04248515279378893,"score_gpt":0.33439706900528915,"score_spread":0.2919119162115002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4397031963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926579,0.0001855366,0.0016902616,0.004290713,0.000073880095,0.0007473097,0.00014203062,0.00008989199,0.0001225042],"genre_scores_gemma":[0.9954014,0.000030144694,0.00035205908,0.00042793667,0.00006542075,0.00003583159,0.000022109854,0.00003379448,0.0036313229],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979408,0.00014349652,0.00018374265,0.00059756933,0.00074938184,0.00038505608],"domain_scores_gemma":[0.99892867,0.0004953097,0.00003371968,0.0002866232,0.00011807074,0.00013762082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004795654,0.00015530415,0.00015759454,0.00019408241,0.00023213589,0.00020866434,0.00022577196,0.00008153241,0.000014430208],"category_scores_gemma":[0.00023445232,0.00011651947,0.000035456593,0.00078356883,0.00024150703,0.00016233756,0.00014082824,0.000504566,0.000011055639],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000332736,0.000075834076,0.001118789,0.00013923665,0.0000064497967,0.00032929002,0.0005599619,0.00015220052,0.97784835,0.010375324,0.00089329033,0.008168513],"study_design_scores_gemma":[0.0016790007,0.0037091842,0.06943664,0.0009905328,0.00009043863,0.0010562048,0.0009823706,0.10073206,0.79939294,0.0047351024,0.015642807,0.001552702],"about_ca_topic_score_codex":0.0003049439,"about_ca_topic_score_gemma":0.00014881208,"teacher_disagreement_score":0.17845543,"about_ca_system_score_codex":0.0000824768,"about_ca_system_score_gemma":0.000047403693,"threshold_uncertainty_score":0.4751526},"labels":[],"label_agreement":null},{"id":"W4398184957","doi":"10.1093/cercor/bhae174","title":"The meso-connectomes of mouse, marmoset, and macaque: network organization and the emergence of higher cognition","year":2024,"lang":"en","type":"review","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Center for Advancing Translational Sciences; National Institute of Mental Health; Simons Foundation; National Institutes of Health; National Science Foundation","keywords":"Marmoset; Macaque; Connectome; Cognition; Neuroscience; Psychology; Biology; Cognitive psychology; Cognitive science; Functional connectivity","score_opus":0.027070770977646347,"score_gpt":0.28195988432419317,"score_spread":0.25488911334654685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398184957","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016341328,0.9953972,0.000018896713,0.0001772583,0.0011297734,0.0008701766,0.00009428644,0.00004004427,0.000638215],"genre_scores_gemma":[0.01571309,0.9817432,0.0000051707166,0.00009312879,0.00012700762,0.000019878174,0.000033829994,0.000038782317,0.0022259182],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985724,0.0002477652,0.00046265902,0.00035706218,0.00019446925,0.00016561459],"domain_scores_gemma":[0.998547,0.0007390872,0.0003911455,0.00022190726,0.000067068846,0.000033766053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019273453,0.00022787727,0.00054092903,0.00004599994,0.00019271957,0.00007057939,0.00020172005,0.000115685194,0.00007053391],"category_scores_gemma":[0.000268386,0.00011133041,0.00010395372,0.000681945,0.0004020745,0.00007041045,0.00018419237,0.00023687979,0.0000074820896],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013183516,0.000053033604,0.00008349224,0.020299433,0.0002840812,0.000012504382,0.00015402108,0.0000049836194,0.0016759379,0.23952428,0.019199036,0.7185774],"study_design_scores_gemma":[0.0023133904,0.00059138116,0.00077924336,0.010928886,0.0072386567,0.00046510462,0.0001184989,0.002493588,0.0014566572,0.03818758,0.9336128,0.0018142074],"about_ca_topic_score_codex":0.00000743769,"about_ca_topic_score_gemma":0.000009915065,"teacher_disagreement_score":0.91441375,"about_ca_system_score_codex":0.000008523846,"about_ca_system_score_gemma":0.000050634524,"threshold_uncertainty_score":0.45399225},"labels":[],"label_agreement":null},{"id":"W4398255925","doi":"10.1017/cjn.2024.234","title":"P.133 Neurons in the lateral prefrontal cortex encode task features during virtual navigation","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Neuroscience; Prefrontal cortex; Neuron; Task (project management); ENCODE; Feature (linguistics); Psychology; Computer science; Biology; Cognition","score_opus":0.02192941323440328,"score_gpt":0.2562340457521514,"score_spread":0.23430463251774813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398255925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894815,0.000487047,0.0000121506555,0.0060109445,0.0023671659,0.0002126488,0.000024703395,0.000033692584,0.0013701678],"genre_scores_gemma":[0.99577487,0.00022177893,0.00007092671,0.0034428956,0.0003966221,0.0000046898385,5.33953e-7,0.000014790556,0.00007287142],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9944963,0.0015611663,0.000828864,0.00076074566,0.001035813,0.0013171275],"domain_scores_gemma":[0.99747294,0.0010859718,0.00037114302,0.00016160618,0.0001075999,0.0008007121],"candidate_categories":["sts","scholarly_communication"],"consensus_categories":["sts"],"category_scores_codex":[0.0029655588,0.00036001898,0.00035488213,0.0010150574,0.0026412737,0.0021475323,0.0023692434,0.00017155767,0.00006879056],"category_scores_gemma":[0.0016305892,0.00020919595,0.00025396846,0.0020654842,0.004168695,0.0018290099,0.00007773031,0.002167412,0.000007521565],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009614025,0.00036166084,0.5209406,0.00012684321,0.000048464968,0.21943413,0.011872746,0.05308763,0.113086954,0.04829778,0.004348274,0.027433502],"study_design_scores_gemma":[0.0005521531,0.05427015,0.7238749,0.00020329293,0.00005343055,0.16641928,0.00058607396,0.01524562,0.0013894584,0.032679886,0.0039306954,0.00079504395],"about_ca_topic_score_codex":0.0009467622,"about_ca_topic_score_gemma":0.031213759,"teacher_disagreement_score":0.2029343,"about_ca_system_score_codex":0.00024534034,"about_ca_system_score_gemma":0.0014803477,"threshold_uncertainty_score":0.9988883},"labels":[],"label_agreement":null},{"id":"W4399009772","doi":"10.1016/j.celrep.2024.114244","title":"Stimulus information guides the emergence of behavior-related signals in primary somatosensory cortex during learning","year":2024,"lang":"en","type":"article","venue":"Cell Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Canadian Institute for Advanced Research; University of Toronto; Mila - Quebec Artificial Intelligence Institute; Montreal Neurological Institute and Hospital; The Scarborough Hospital","funders":"Alliance de recherche numérique du Canada; Natural Sciences and Engineering Research Council of Canada; Horizon 2020 Framework Programme; Wellcome Trust; Canadian Institute for Advanced Research","keywords":"Sensory system; Somatosensory system; Neuroscience; Perception; Stimulus (psychology); Psychology; Secondary somatosensory cortex; Perceptual learning; Sensory cortex; Cortex (anatomy); Cognitive psychology","score_opus":0.012743765940206656,"score_gpt":0.2345821247330238,"score_spread":0.22183835879281716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399009772","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99260044,0.00010231926,0.00003350321,0.00003755233,0.00069059816,0.0002449282,0.0000013099645,0.00008575958,0.0062035886],"genre_scores_gemma":[0.99841285,0.00007573212,0.000007729131,0.00004033743,0.000011312099,0.000014903492,0.00000655581,0.000010180181,0.0014204026],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99871975,0.000061442246,0.0005977408,0.00020392737,0.0002624416,0.00015467253],"domain_scores_gemma":[0.9994231,0.00011225409,0.00023279143,0.0001743592,0.000030348718,0.000027189622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029017357,0.00009478294,0.00010965943,0.00012578299,0.000095116484,0.0000508094,0.00007217096,0.000050515453,0.00008519544],"category_scores_gemma":[0.00020937703,0.000071664486,0.00005881906,0.0003725763,0.000054987428,0.00039892513,0.000060959377,0.00023145517,0.000018071405],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005193393,0.000020955984,0.0038367782,0.00010197986,0.0000012249692,0.00044626495,0.0003211586,0.007630004,0.9854109,0.000031212494,0.00006963625,0.0021246586],"study_design_scores_gemma":[0.00018575652,0.00010071892,0.16915073,0.00021857885,0.00003744591,0.00091364764,0.00025765825,0.043761462,0.78327906,0.000466433,0.0013207037,0.00030778348],"about_ca_topic_score_codex":0.000023597471,"about_ca_topic_score_gemma":0.0000013149527,"teacher_disagreement_score":0.20213185,"about_ca_system_score_codex":0.00002979722,"about_ca_system_score_gemma":0.000048400285,"threshold_uncertainty_score":0.2922393},"labels":[],"label_agreement":null},{"id":"W4399033744","doi":"10.1101/2024.05.24.595859","title":"A cortical locus for modulation of arousal states","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"NIH Office of the Director; National Institutes of Health; National Institute of Mental Health; National Alliance for Research on Schizophrenia and Depression; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada","keywords":"Arousal; Optogenetics; Neuroscience; Locus coeruleus; Psychology; Sensory system; Prefrontal cortex; Pupil; Pupillometry; Visual cortex; Pupillary response; Cognition; Central nervous system","score_opus":0.022019347276523344,"score_gpt":0.24317577693718923,"score_spread":0.22115642966066587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399033744","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902279,0.00007338291,0.0057858187,0.00029108606,0.0020540492,0.0008514094,0.00044133127,0.0002673102,0.000007755055],"genre_scores_gemma":[0.9982987,0.000051410698,0.00096192496,0.0001690757,0.00024786283,0.00016138048,4.642832e-7,0.000096353884,0.00001282106],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978547,0.000086468084,0.0004835291,0.0008989302,0.0003294452,0.0003469344],"domain_scores_gemma":[0.9986316,0.00024592198,0.00025973146,0.00056721794,0.00017358302,0.000121919285],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003025238,0.0003245156,0.00038416093,0.00017475113,0.00009015922,0.00013722098,0.0002729884,0.0002834212,0.000015689977],"category_scores_gemma":[0.00059381116,0.00031813592,0.0001722913,0.0003552584,0.0001268707,0.000074480864,0.00043554403,0.000537654,0.000030117897],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060990602,0.00008019437,0.00019574605,0.00048708025,0.000019432697,0.000015200086,0.00000418107,0.0013513436,0.99355626,0.0039872467,0.00023820494,0.0000040944446],"study_design_scores_gemma":[0.00036504,0.00017411813,0.0064843767,0.00024974073,0.00011373523,2.2956142e-8,7.867034e-7,0.20574057,0.7847217,0.0004630013,0.0011533668,0.00053354684],"about_ca_topic_score_codex":0.000017139384,"about_ca_topic_score_gemma":0.000001302837,"teacher_disagreement_score":0.20883459,"about_ca_system_score_codex":0.00012694905,"about_ca_system_score_gemma":0.00017654509,"threshold_uncertainty_score":0.99992704},"labels":[],"label_agreement":null},{"id":"W4399118344","doi":"10.1126/sciadv.adk7214","title":"Decision-related activity and movement selection in primate visual cortex","year":2024,"lang":"en","type":"article","venue":"Science Advances","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Perception; Sensory system; Psychology; Saccade; Population; Receptive field; Primate; Task (project management); Cognitive psychology; Neuroplasticity; Sensory cue; Communication; Eye movement; Medicine","score_opus":0.011356364821596176,"score_gpt":0.3198744892613308,"score_spread":0.3085181244397346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399118344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99753875,0.00013499125,0.00060379575,0.00017925745,0.0008160122,0.00013921909,0.0000017140237,0.00007888029,0.0005073578],"genre_scores_gemma":[0.9993717,0.0001396691,0.00011522153,0.00014079944,0.0000129969685,0.000008010324,1.289846e-7,0.0000047696567,0.00020667934],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987545,0.000021597252,0.00012252413,0.0005319958,0.00034034185,0.00022902038],"domain_scores_gemma":[0.9996752,0.00017571321,0.000030621337,0.00005119821,0.00001593071,0.00005131488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035001468,0.00008204243,0.00007346779,0.00023190443,0.00020247113,0.0001981177,0.000107389984,0.000020537209,0.000017110528],"category_scores_gemma":[0.00022316481,0.000064656226,0.00001492307,0.0015511271,0.0002854893,0.0014954424,0.00006569189,0.00012349141,0.000017502787],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010703945,0.000017872522,0.00037709842,0.000006631893,2.0065535e-7,0.0000059330423,0.000029502775,0.00022753753,0.7807841,0.0012009174,0.0000021360306,0.21733741],"study_design_scores_gemma":[0.00014872744,0.00024127052,0.05727126,0.00008857222,0.000002719036,0.000026768523,0.000031434578,0.26481602,0.65150774,0.024894418,0.0007785182,0.00019256384],"about_ca_topic_score_codex":0.000014148478,"about_ca_topic_score_gemma":0.000051515395,"teacher_disagreement_score":0.26458848,"about_ca_system_score_codex":0.00008606603,"about_ca_system_score_gemma":0.00006507624,"threshold_uncertainty_score":0.26366046},"labels":[],"label_agreement":null},{"id":"W4399139474","doi":"10.1093/brain/awae173","title":"Establishing connectivity through microdissections of midbrain stimulation-related neural circuits","year":2024,"lang":"en","type":"article","venue":"Brain","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Mental Health","keywords":"Midbrain; Neuroscience; Biological neural network; Stimulation; Deep brain stimulation; Functional connectivity; Psychology; Medicine; Central nervous system","score_opus":0.03679691552776943,"score_gpt":0.28829871606862795,"score_spread":0.2515018005408585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399139474","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98682034,0.000094421615,0.0032806445,0.003389831,0.0017769963,0.00027953158,0.000068169225,0.0003092166,0.0039808736],"genre_scores_gemma":[0.997653,0.0000055901646,0.00004918525,0.00057399913,0.0000880543,0.000009785144,0.00001584444,0.000029321416,0.0015751934],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985584,0.0001825777,0.0003053261,0.0004921641,0.00021851392,0.00024303472],"domain_scores_gemma":[0.9976597,0.001958661,0.0000767336,0.00021957021,0.000035996218,0.000049326372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026012992,0.00015223882,0.00016821917,0.00014618508,0.00018204887,0.00017349201,0.0001564042,0.0000906826,0.000140738],"category_scores_gemma":[0.0018080788,0.00014451108,0.00012147737,0.0009661769,0.00010699091,0.0007666808,0.000053118372,0.00027785028,0.000034820205],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000073695087,0.00005511422,0.00031726522,0.000054242217,0.000008717384,0.000027842409,0.0004984562,0.0013194166,0.9556026,0.032446478,0.0018167653,0.007845752],"study_design_scores_gemma":[0.0011605971,0.00041899626,0.026582565,0.00030817144,0.00006903495,0.00042398853,0.00023135569,0.6153252,0.28562206,0.051668413,0.017266156,0.000923479],"about_ca_topic_score_codex":0.000104688756,"about_ca_topic_score_gemma":0.000037897305,"teacher_disagreement_score":0.6699805,"about_ca_system_score_codex":0.000049203943,"about_ca_system_score_gemma":0.0000497113,"threshold_uncertainty_score":0.5892991},"labels":[],"label_agreement":null},{"id":"W4399202112","doi":"10.1371/journal.pcbi.1011145","title":"How well do models of visual cortex generalize to out of distribution samples?","year":2024,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada; Compute Canada","keywords":"Artificial intelligence; Computer science; Visual cortex; Generalization; Artificial neural network; Cognitive neuroscience of visual object recognition; Robustness (evolution); Machine learning; Stimulus (psychology); Pattern recognition (psychology); Neuroscience; Object (grammar); Psychology; Biology; Cognitive psychology; Mathematics","score_opus":0.057936670483204084,"score_gpt":0.29713344648719786,"score_spread":0.23919677600399378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399202112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80167425,0.00003270769,0.19599797,0.0009031812,0.0004760881,0.0001551283,0.0006102967,0.00003904436,0.00011135745],"genre_scores_gemma":[0.998675,0.000009310838,0.0006208613,0.0002116949,0.000066510416,0.000008140468,0.00030280362,0.000007716184,0.00009796386],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991648,0.000075576674,0.00019904293,0.0002965321,0.0001404281,0.00012358173],"domain_scores_gemma":[0.9993714,0.00037004382,0.000066828565,0.000065070824,0.00008604561,0.000040628693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005762654,0.00008755299,0.00015385887,0.000081476595,0.000032012143,0.000025280406,0.000096470845,0.000052686137,0.000020614818],"category_scores_gemma":[0.00010892249,0.00007468763,0.00006009191,0.00019755552,0.000085797845,0.00007957508,0.00005675258,0.000063294305,0.000016788346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000407035,0.000088803215,0.00013415172,0.00004062677,0.000013800967,0.000002095834,0.000041126637,0.023667838,0.76523364,0.20864221,0.00033097685,0.0017640396],"study_design_scores_gemma":[0.00017510584,0.00050505914,0.001331834,0.00003148079,0.000016321866,0.0000075370817,0.000008906091,0.8459327,0.051442094,0.09871997,0.0016920752,0.00013690101],"about_ca_topic_score_codex":0.0000065953045,"about_ca_topic_score_gemma":0.0000016919388,"teacher_disagreement_score":0.82226485,"about_ca_system_score_codex":0.000025913065,"about_ca_system_score_gemma":0.000036932724,"threshold_uncertainty_score":0.30456734},"labels":[],"label_agreement":null},{"id":"W4399269839","doi":"10.1101/2024.06.01.596905","title":"A melancholy machine: simulated synapse loss induces depression-like behaviors in deep reinforcement learning","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge; Mount Royal University","funders":"","keywords":"Reinforcement learning; Synapse; Reinforcement; Depression (economics); Psychology; Neuroscience; Artificial intelligence; Computer science; Cognitive psychology; Social psychology; Economics; Keynesian economics","score_opus":0.01421610992021845,"score_gpt":0.24042549001974373,"score_spread":0.22620938009952526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399269839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948468,0.00046921606,0.00026225785,0.00013418274,0.00265398,0.00091923575,0.000039040016,0.0006541103,0.00002116154],"genre_scores_gemma":[0.99877685,0.00026812294,0.0000753577,0.00034071587,0.00017263612,0.00014721866,0.0000011294143,0.00017873086,0.000039231047],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9955501,0.00033234502,0.0008376942,0.0017959774,0.00070104154,0.0007828577],"domain_scores_gemma":[0.99799037,0.00019428645,0.00044658472,0.0009569818,0.00013614612,0.0002756388],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0005836179,0.00074981723,0.00061675225,0.00069941,0.00024816502,0.00047200752,0.0007174595,0.0006761343,0.00007784898],"category_scores_gemma":[0.00059290294,0.0007300027,0.00020159471,0.001096285,0.00012623206,0.00021716172,0.0014553169,0.0029631993,0.00014684173],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000690908,0.00012127871,0.006047776,0.00027895538,0.000026913234,0.00076902506,0.000026734164,0.062474336,0.9299694,0.0001844084,0.000023584269,0.000008517557],"study_design_scores_gemma":[0.0013516425,0.000210959,0.034177344,0.0017895469,0.00022049887,3.7161712e-7,0.0000057704665,0.25686106,0.7020618,0.000022495822,0.0010770616,0.0022214937],"about_ca_topic_score_codex":0.00018186356,"about_ca_topic_score_gemma":0.000008205374,"teacher_disagreement_score":0.22790761,"about_ca_system_score_codex":0.00042422736,"about_ca_system_score_gemma":0.00025591807,"threshold_uncertainty_score":0.9995151},"labels":[],"label_agreement":null},{"id":"W4399274597","doi":"10.1101/2024.05.28.596262","title":"Contributions of action potentials to scalp EEG: theory and biophysical simulations","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Electroencephalography; Action (physics); Scalp; Neuroscience; Psychology; Cognitive science; Statistical physics; Physics; Medicine; Anatomy; Quantum mechanics","score_opus":0.018807184872122774,"score_gpt":0.2665036931939191,"score_spread":0.24769650832179632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399274597","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899156,0.00009308439,0.005019834,0.00076573266,0.0016549045,0.00069173734,0.0016081603,0.00024521872,0.0000057004922],"genre_scores_gemma":[0.9990756,0.0000670672,0.00019060413,0.00029145597,0.0002445447,0.000056629484,4.1220306e-7,0.00005776011,0.000015939464],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978441,0.0002680372,0.00040712373,0.00087165786,0.00030466053,0.00030441317],"domain_scores_gemma":[0.9983867,0.00037584009,0.0002031336,0.0005766473,0.0002536622,0.00020404963],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040212277,0.00031272182,0.00037911252,0.000328438,0.00018550556,0.00019924493,0.00022175814,0.0002710636,0.000024985166],"category_scores_gemma":[0.0011664815,0.00030841856,0.00013418515,0.0006428281,0.0001588866,0.00012282879,0.0006001423,0.00053771894,0.000054309603],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004373331,0.00008139059,0.000032062395,0.0001515281,0.00002551894,0.000008581253,0.0000035680002,0.00057067146,0.9493537,0.049652915,0.00006921723,0.000007095162],"study_design_scores_gemma":[0.00017349444,0.00006779759,0.007786286,0.00023771536,0.00013490836,2.7446811e-8,0.000001230217,0.0065698083,0.98351485,0.0005974064,0.0005649021,0.00035158294],"about_ca_topic_score_codex":0.000015279109,"about_ca_topic_score_gemma":8.4596775e-7,"teacher_disagreement_score":0.04905551,"about_ca_system_score_codex":0.000119989614,"about_ca_system_score_gemma":0.0001712686,"threshold_uncertainty_score":0.9999368},"labels":[],"label_agreement":null},{"id":"W4399282900","doi":"10.1371/journal.pcbi.1012178","title":"Synergistic information supports modality integration and flexible learning in neural networks solving multiple tasks","year":2024,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Gates Cambridge Trust; Imperial College London; Wellcome; Cambridge Trust; Ad Astra Chandaria Foundation; Wellcome Trust","keywords":"Computer science; Cognition; Modality (human–computer interaction); Set (abstract data type); Information processing; Artificial neural network; Modalities; Artificial intelligence; Information integration; Cognitive science; Machine learning; Human–computer interaction; Psychology; Neuroscience; Data mining","score_opus":0.023755917197372124,"score_gpt":0.26050198447969436,"score_spread":0.23674606728232223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399282900","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84378177,0.000046884536,0.15450655,0.00067240116,0.00045287612,0.00016787177,0.000013749294,0.00019253182,0.00016533438],"genre_scores_gemma":[0.9989629,0.000010889987,0.00026672203,0.00037350983,0.000057777732,0.000017106315,0.0002748054,0.0000065383174,0.000029787427],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991109,0.0001316324,0.0002600127,0.00024123043,0.00008799818,0.00016825179],"domain_scores_gemma":[0.9989954,0.0008367222,0.000057518562,0.000042616077,0.000033118195,0.0000346263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014822303,0.000101730686,0.00010786348,0.00017692473,0.00011087218,0.00011454002,0.000050772273,0.00007282189,0.000015213018],"category_scores_gemma":[0.00050224696,0.00009051907,0.000024289478,0.00023579503,0.00006803922,0.0004345046,0.00005076922,0.00026510636,0.0000101601445],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040579005,0.000028984661,0.008454364,0.00004352113,0.0000052743007,0.000010662284,0.00020040105,0.8939589,0.026530132,0.02378727,0.000038746795,0.046901166],"study_design_scores_gemma":[0.00012494523,0.00007480715,0.006565004,0.00002214541,0.0000036694744,0.000014483159,0.000015236948,0.9843971,0.00039820577,0.008202205,0.000090063244,0.000092110735],"about_ca_topic_score_codex":0.0000348964,"about_ca_topic_score_gemma":0.000012428186,"teacher_disagreement_score":0.15518107,"about_ca_system_score_codex":0.000044160002,"about_ca_system_score_gemma":0.000024587489,"threshold_uncertainty_score":0.36912605},"labels":[],"label_agreement":null},{"id":"W4399302923","doi":"10.1101/2024.05.31.596786","title":"Distinct Excitability Properties of Cardiac Calbindin Neurons: Identifying a Unique Neuronal Population","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Neuroscience; Calbindin; Population; Biology; Medicine; Internal medicine; Calcium","score_opus":0.03593610395627718,"score_gpt":0.240594174153627,"score_spread":0.20465807019734983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399302923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931274,0.0003690822,0.00008380162,0.00021577913,0.004253267,0.0010447383,0.0004454252,0.0004515094,0.000009004152],"genre_scores_gemma":[0.9990795,0.0000940909,0.000118047246,0.00009118089,0.00028748123,0.0001796764,6.0139075e-7,0.00013588477,0.000013511579],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99601394,0.0005330276,0.0007940605,0.0015263871,0.00064694585,0.0004856243],"domain_scores_gemma":[0.99793345,0.00013680228,0.00045710584,0.0010909267,0.00020732073,0.00017441645],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006022602,0.0005580452,0.0006382375,0.00033300943,0.00019762102,0.00032782994,0.0005223952,0.00033914484,0.000014808858],"category_scores_gemma":[0.0011521353,0.0005329076,0.00033118788,0.00067815004,0.00021434,0.00021059155,0.0010932952,0.0011694265,0.000031379608],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039059007,0.00008641467,0.004112869,0.0014446673,0.000022426859,0.000018035376,0.000009943841,0.00006556961,0.99278724,0.0013831889,0.000024379537,0.000006201279],"study_design_scores_gemma":[0.00012180123,0.000070019116,0.3145144,0.00076032954,0.00013394447,4.0928313e-8,0.0000016613909,0.004203712,0.6791317,0.00008624382,0.0002885396,0.00068763306],"about_ca_topic_score_codex":0.00025999235,"about_ca_topic_score_gemma":0.0000063551433,"teacher_disagreement_score":0.31365559,"about_ca_system_score_codex":0.00027635886,"about_ca_system_score_gemma":0.0003012391,"threshold_uncertainty_score":0.9997122},"labels":[],"label_agreement":null},{"id":"W4399387842","doi":"10.1016/j.neuroimage.2024.120668","title":"Unveiling the neural dynamics of conscious perception in rapid object recognition","year":2024,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vector Institute; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Vector Institute; Canada First Research Excellence Fund","keywords":"Perception; Electroencephalography; Cognitive neuroscience of visual object recognition; Object (grammar); Psychology; Dynamics (music); Artificial intelligence; Identification (biology); Computer science; Visual perception; Cognitive psychology; Pattern recognition (psychology); Neuroscience; Biology","score_opus":0.03575907441833499,"score_gpt":0.26782630053055645,"score_spread":0.23206722611222147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399387842","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938597,0.00003646078,0.00019848597,0.0016794075,0.0011727494,0.00027128632,0.000047201473,0.00011467017,0.0026200486],"genre_scores_gemma":[0.9988231,0.00011633339,0.00002386826,0.0006967479,0.00007020573,0.00001105148,0.000015666283,0.00002338682,0.00021961659],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986034,0.00021706936,0.0003877182,0.0003852095,0.00020716699,0.00019942994],"domain_scores_gemma":[0.99919367,0.0004489881,0.00011253035,0.0001943136,0.000023783461,0.000026700276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003061865,0.00012498049,0.00013254205,0.00016201145,0.00008480429,0.000103009734,0.00015157394,0.000046505054,0.00011228709],"category_scores_gemma":[0.00058345264,0.00009243199,0.00009637831,0.00055766926,0.00013874154,0.00024179314,0.00004887782,0.00036326298,0.00007446908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003835673,0.000040287097,0.0001630647,0.00006533592,0.000001264637,0.00009554562,0.00018440123,0.00020580892,0.88766766,0.00044486,0.00020267557,0.110890746],"study_design_scores_gemma":[0.00029549835,0.00026095775,0.014547289,0.00007708226,0.0000176218,0.00020071387,0.00014541256,0.96579087,0.015711823,0.0023067943,0.00044420018,0.00020172787],"about_ca_topic_score_codex":0.000036077683,"about_ca_topic_score_gemma":0.000065405846,"teacher_disagreement_score":0.96558505,"about_ca_system_score_codex":0.000052759326,"about_ca_system_score_gemma":0.00002660532,"threshold_uncertainty_score":0.37692672},"labels":[],"label_agreement":null},{"id":"W4399390344","doi":"10.1016/j.crmeth.2024.100791","title":"ElecFeX is a user-friendly toolbox for efficient feature extraction from single-cell electrophysiological recordings","year":2024,"lang":"en","type":"article","venue":"Cell Reports Methods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; McGill University","keywords":"Toolbox; Computer science; Electrophysiology; Graphical user interface; Interface (matter); MATLAB; Artificial intelligence; Set (abstract data type); Software; Brain–computer interface; Human–computer interaction; Feature extraction; Feature (linguistics); Machine learning; Pattern recognition (psychology); Electroencephalography; Neuroscience; Biology","score_opus":0.03532891387652548,"score_gpt":0.3274781157858995,"score_spread":0.29214920190937405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399390344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.676401,0.0003561468,0.31329888,0.00045292187,0.0047385227,0.00065226486,0.000023428958,0.00036260957,0.0037141866],"genre_scores_gemma":[0.82000214,0.0000797432,0.15485607,0.0011138183,0.000745682,0.00013584085,0.00005278204,0.00010661363,0.022907298],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9971722,0.00028981722,0.0004488873,0.0013295759,0.00028016738,0.00047934576],"domain_scores_gemma":[0.997687,0.0014073161,0.00026534437,0.00044586297,0.00006941451,0.00012506862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070835795,0.00029778102,0.0003207067,0.00012369716,0.00022812553,0.00028762638,0.00014675576,0.00024862375,0.00013540118],"category_scores_gemma":[0.0007614189,0.00023697261,0.00032889642,0.00049093686,0.000057224835,0.00016421582,0.00005343508,0.0004959752,0.000017883665],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011394881,0.0001556523,0.0000049237506,0.00005463014,0.0000047718822,0.00022128827,0.000038703918,0.00008853342,0.96375316,0.00008882771,0.00870125,0.026774295],"study_design_scores_gemma":[0.000101370744,0.00050285284,0.00003475252,0.000021615715,0.000044890432,0.00011970686,0.0000127044905,0.02063474,0.7636927,0.0018249687,0.21277447,0.00023526738],"about_ca_topic_score_codex":0.000018045757,"about_ca_topic_score_gemma":5.633112e-7,"teacher_disagreement_score":0.20407322,"about_ca_system_score_codex":0.00014928707,"about_ca_system_score_gemma":0.00006684066,"threshold_uncertainty_score":0.96634626},"labels":[],"label_agreement":null},{"id":"W4399436165","doi":"10.1016/b978-0-323-99738-6.00006-x","title":"Brain wave theory","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cape Breton University","funders":"","keywords":"Physics; Psychology","score_opus":0.026405188717593713,"score_gpt":0.24146378823179998,"score_spread":0.21505859951420628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399436165","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000050137365,0.0002712643,0.0000054225748,0.00057168026,0.0021467751,0.0004139681,0.00008434233,0.00023871679,0.99621767],"genre_scores_gemma":[0.0014291799,0.00005501552,0.000013596048,0.004947441,0.0005496976,0.000020174517,0.000010523415,0.00014866405,0.9928257],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99814487,0.00004558342,0.00032346693,0.0008175865,0.00037017872,0.0002983305],"domain_scores_gemma":[0.99882257,0.00039990363,0.00012729004,0.00051528227,0.00002528281,0.00010968347],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00026489454,0.00041930983,0.00033519373,0.00018657901,0.00012471901,0.00013528063,0.00024570528,0.00028425155,0.0006182463],"category_scores_gemma":[0.00009945865,0.0003478187,0.00031335908,0.000018772002,0.00019805475,0.000041963573,0.00021503866,0.0007669278,0.0020713129],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010985301,0.0000020033349,1.4390747e-8,0.000043812426,0.000009887073,0.00017330672,0.000033529108,1.9769584e-7,0.0042046243,0.4456995,0.0005249487,0.54929715],"study_design_scores_gemma":[0.00005268814,0.00004518756,2.6504122e-7,0.00014661961,0.000032862223,0.000065352906,0.0000010303795,0.000057492583,0.0006791306,0.3903226,0.6083555,0.00024127681],"about_ca_topic_score_codex":7.056057e-8,"about_ca_topic_score_gemma":0.0000031943796,"teacher_disagreement_score":0.6078305,"about_ca_system_score_codex":0.00007624258,"about_ca_system_score_gemma":0.000055029694,"threshold_uncertainty_score":0.99989736},"labels":[],"label_agreement":null},{"id":"W4399436188","doi":"10.1016/b978-0-323-99738-6.00017-4","title":"Electro-neuro-consciousness","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cape Breton University","funders":"","keywords":"Consciousness; Cognitive science; Psychology; Neuroscience","score_opus":0.017633198958797964,"score_gpt":0.23685782442026235,"score_spread":0.21922462546146437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399436188","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00020413278,0.0002853144,0.0000024182705,0.00036611356,0.002603262,0.00050894683,0.00006563607,0.0003585732,0.9956056],"genre_scores_gemma":[0.005121751,0.00013750969,0.000008846145,0.0026243771,0.00058595464,0.000032244305,0.000009698313,0.00019156603,0.99128807],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976252,0.000027901722,0.0003955131,0.0010588377,0.0004619923,0.00043056745],"domain_scores_gemma":[0.99886763,0.00021886748,0.00016028385,0.0005767296,0.00004114488,0.00013533332],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000117226315,0.0005229031,0.00043059015,0.00025205166,0.00016773089,0.00019273045,0.0004112003,0.00029537943,0.00025808075],"category_scores_gemma":[0.00006837742,0.00046062536,0.00033527522,0.00003360316,0.00018423592,0.00005337967,0.00020228323,0.0009989894,0.002346913],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020000596,0.0000061314186,2.7325387e-7,0.00010821674,0.000018524417,0.0003990935,0.000026914311,9.532121e-7,0.037906393,0.24900126,0.00089481357,0.7116174],"study_design_scores_gemma":[0.00009200709,0.0000935235,5.5325427e-7,0.00014888457,0.00006927167,0.00015542636,4.843732e-7,0.00010917482,0.004556452,0.13025151,0.86409754,0.00042515204],"about_ca_topic_score_codex":1.9199719e-7,"about_ca_topic_score_gemma":0.000006178668,"teacher_disagreement_score":0.86320275,"about_ca_system_score_codex":0.00009466588,"about_ca_system_score_gemma":0.00009171649,"threshold_uncertainty_score":0.9997845},"labels":[],"label_agreement":null},{"id":"W4399436194","doi":"10.1016/b978-0-323-99738-6.00009-5","title":"The spike/waves of consciousness","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cape Breton University","funders":"","keywords":"Spike (software development); Consciousness; Psychology; History; Neuroscience; Computer science","score_opus":0.020115735655253077,"score_gpt":0.24346559093902367,"score_spread":0.2233498552837706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399436194","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00026404863,0.00057605497,8.8739336e-7,0.0002715985,0.002133345,0.00036672674,0.00006741697,0.00006716988,0.9962528],"genre_scores_gemma":[0.009621313,0.0002838425,0.0000047562257,0.00033192764,0.00021711753,0.000013249738,0.000002544315,0.0000664287,0.9894588],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99858826,0.000022831813,0.00037352557,0.0004473924,0.00035617972,0.00021181889],"domain_scores_gemma":[0.9988441,0.00036477816,0.00020883788,0.00048089895,0.00004649619,0.00005492616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016183224,0.00027338945,0.0002925636,0.00008525891,0.00018200757,0.00009532551,0.00036271306,0.00015774844,0.000053414784],"category_scores_gemma":[0.00006223656,0.00017371816,0.0002366694,0.000018756713,0.00048673563,0.000023454706,0.00018121634,0.00043646834,0.00024216328],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012526927,0.0000024241233,2.831283e-7,0.000078091856,0.000013988207,0.000033756634,0.000033613192,5.478149e-7,0.008591972,0.3361637,0.00018445309,0.65488464],"study_design_scores_gemma":[0.000055798893,0.00005361957,0.000001351774,0.00019395724,0.000045163357,0.000028300174,0.000002953664,0.00006124331,0.0031530506,0.13810769,0.8581216,0.00017527565],"about_ca_topic_score_codex":2.7245372e-7,"about_ca_topic_score_gemma":0.000016135275,"teacher_disagreement_score":0.85793716,"about_ca_system_score_codex":0.000030528685,"about_ca_system_score_gemma":0.00006453364,"threshold_uncertainty_score":0.7084021},"labels":[],"label_agreement":null},{"id":"W4399436218","doi":"10.1016/b978-0-323-99738-6.00012-5","title":"Delta consciousness","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cape Breton University","funders":"","keywords":"Delta; Consciousness; Psychology; Physics; Neuroscience","score_opus":0.023872924616779752,"score_gpt":0.24669069763016188,"score_spread":0.22281777301338213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399436218","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00012740173,0.00027659957,0.0000022619965,0.00022388969,0.0027202477,0.00039653757,0.00013749098,0.0002510777,0.9958645],"genre_scores_gemma":[0.0042506666,0.000094504634,0.000011491128,0.0015669736,0.00043810785,0.000021497612,0.000013557097,0.00012835045,0.99347484],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99822205,0.00001697554,0.00032582248,0.0007872067,0.00036686737,0.0002810649],"domain_scores_gemma":[0.9991212,0.00013290792,0.00012558448,0.00046993242,0.00003751342,0.00011289756],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00010211511,0.00039419127,0.00034870344,0.00017247922,0.00013315363,0.00015100201,0.00031158188,0.0002679359,0.00032160062],"category_scores_gemma":[0.00003752811,0.0003385878,0.00024767916,0.000019549558,0.00021116738,0.000039144077,0.00020401765,0.0006360511,0.0020873453],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009245901,0.0000033210295,2.1359126e-7,0.00008984233,0.000013000388,0.0002528813,0.000027725908,7.846403e-7,0.00410208,0.24232052,0.0005026234,0.75267774],"study_design_scores_gemma":[0.00007728281,0.0000447016,4.100397e-7,0.00021219227,0.0000569912,0.00009058317,9.0128526e-7,0.00011824167,0.0009094311,0.13048182,0.8676665,0.00034097346],"about_ca_topic_score_codex":2.7605213e-7,"about_ca_topic_score_gemma":0.00001631832,"teacher_disagreement_score":0.86716384,"about_ca_system_score_codex":0.000070051414,"about_ca_system_score_gemma":0.00007097974,"threshold_uncertainty_score":0.9999066},"labels":[],"label_agreement":null},{"id":"W4399436222","doi":"10.1016/b978-0-323-99738-6.00016-2","title":"Artificial neurons and perfect zombies","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cape Breton University","funders":"","keywords":"Computer science","score_opus":0.028550356667844577,"score_gpt":0.24278982451841277,"score_spread":0.2142394678505682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399436222","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0037963185,0.00021123583,6.989607e-7,0.00030892325,0.0019287616,0.00034175708,0.00006654191,0.00016374924,0.993182],"genre_scores_gemma":[0.021175046,0.00012280709,0.000005959647,0.00077787036,0.00041969214,0.000014354993,0.0000046746018,0.00009420285,0.9773854],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99848115,0.000023000457,0.0002682004,0.000733278,0.00025732393,0.0002370133],"domain_scores_gemma":[0.9993593,0.00015204329,0.00008123379,0.00029419488,0.00001743676,0.0000957649],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000887219,0.00034639696,0.00029484602,0.00016270166,0.00017545649,0.00020186215,0.00014357688,0.00015592873,0.000095741074],"category_scores_gemma":[0.000047972095,0.0002999328,0.00015893408,0.000015888176,0.00023672813,0.00004272895,0.00018551585,0.0005878182,0.00046046192],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012301788,0.0000032664157,3.7913318e-7,0.00007473831,0.000007979328,0.00012645003,0.000045156474,4.5317745e-7,0.01669873,0.12782998,0.00011803085,0.8550825],"study_design_scores_gemma":[0.000036225887,0.00013005124,0.0000068519453,0.000132429,0.000075822434,0.00010853651,0.0000013396558,0.00019547204,0.0016441415,0.12854679,0.8687915,0.00033080697],"about_ca_topic_score_codex":2.4880023e-7,"about_ca_topic_score_gemma":0.000013142723,"teacher_disagreement_score":0.8686735,"about_ca_system_score_codex":0.000028323031,"about_ca_system_score_gemma":0.000033813936,"threshold_uncertainty_score":0.9999453},"labels":[],"label_agreement":null},{"id":"W4399436224","doi":"10.1016/b978-0-323-99738-6.00010-1","title":"Alpha wave consciousness","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cape Breton University","funders":"","keywords":"Consciousness; Psychology; Psychoanalysis; Neuroscience","score_opus":0.029418456493437342,"score_gpt":0.24396056221388818,"score_spread":0.21454210572045085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399436224","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00013170543,0.00028706607,0.0000020439966,0.00026392975,0.003295389,0.0004724093,0.000113488764,0.00025869187,0.9951753],"genre_scores_gemma":[0.0054139947,0.00011148226,0.000013630479,0.0017369154,0.0005335091,0.000025083213,0.000012049497,0.00014327365,0.99201006],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.997998,0.000020503127,0.00036376453,0.00087908545,0.0004168451,0.0003218234],"domain_scores_gemma":[0.999023,0.00015529367,0.00014638396,0.00050546764,0.00004162056,0.00012822916],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000115678304,0.0004486689,0.00040255988,0.00018892728,0.00014303776,0.0001607455,0.0002490408,0.00029872864,0.0004202905],"category_scores_gemma":[0.000038928174,0.00038397883,0.00029065495,0.000021216365,0.00024430148,0.000044672564,0.00021670824,0.0007111106,0.0020750233],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011131943,0.0000041810026,1.18901625e-7,0.00009963381,0.000017115457,0.00046508407,0.000041993557,4.0354834e-7,0.005874719,0.21130812,0.0005474511,0.78163004],"study_design_scores_gemma":[0.00009694219,0.000058084857,5.8338827e-7,0.0002392262,0.00006654753,0.00014505636,0.0000013119396,0.00016252544,0.0014238962,0.1286787,0.8687373,0.0003898228],"about_ca_topic_score_codex":2.2460723e-7,"about_ca_topic_score_gemma":0.000010187255,"teacher_disagreement_score":0.8681899,"about_ca_system_score_codex":0.0000848996,"about_ca_system_score_gemma":0.00007458168,"threshold_uncertainty_score":0.99986124},"labels":[],"label_agreement":null},{"id":"W4399436423","doi":"10.1016/b978-0-323-99738-6.00003-4","title":"Formula consciousness: The other side of the equation","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cape Breton University","funders":"","keywords":"Consciousness; Psychology; Psychoanalysis; Mathematics; Philosophy; Epistemology","score_opus":0.03169690837529941,"score_gpt":0.2454157012513079,"score_spread":0.21371879287600848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399436423","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00033740347,0.00015507913,0.000007693453,0.0008036719,0.0013941085,0.00062973454,0.000061968836,0.000042492997,0.99656785],"genre_scores_gemma":[0.040163256,0.00002207493,0.0000033182732,0.0017053395,0.00018692501,0.000021808466,0.0000013853529,0.000059302347,0.95783657],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99880743,0.000041286614,0.00032194587,0.00033010697,0.0003436115,0.00015563506],"domain_scores_gemma":[0.99888134,0.00026731868,0.0002579208,0.00052702415,0.000040973257,0.00002542797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001981256,0.00022834197,0.00020192412,0.00005744452,0.00016201084,0.00006249206,0.00040191994,0.00014101653,0.00009123649],"category_scores_gemma":[0.00007279553,0.00011538806,0.00026604382,0.0000273087,0.00029981998,0.000030732463,0.00017111591,0.00041212802,0.00020968392],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011219971,0.000004395557,0.0000011450238,0.000081362145,0.000019614208,0.000003866149,0.00016945568,0.00001151464,0.0151162725,0.49363288,0.00017983756,0.49076843],"study_design_scores_gemma":[0.000068490575,0.0000211095,0.000003587734,0.00022199399,0.000069067304,0.000015082743,0.0000039508323,0.0005007277,0.003932652,0.17887186,0.8161535,0.00013798113],"about_ca_topic_score_codex":0.0000015378685,"about_ca_topic_score_gemma":0.000052787094,"teacher_disagreement_score":0.81597364,"about_ca_system_score_codex":0.00004109881,"about_ca_system_score_gemma":0.000062061954,"threshold_uncertainty_score":0.47053885},"labels":[],"label_agreement":null},{"id":"W4399436656","doi":"10.1016/b978-0-323-99738-6.00014-9","title":"The other physiologic frequencies of consciousness: Focusing on gamma and subdelta","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cape Breton University","funders":"","keywords":"Consciousness; Psychology; History; Neuroscience","score_opus":0.029545170270804118,"score_gpt":0.245063488611603,"score_spread":0.21551831834079888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399436656","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0070671896,0.0007757158,6.396817e-7,0.00030473652,0.0007671541,0.00037900964,0.000067750436,0.000061450126,0.9905763],"genre_scores_gemma":[0.08648426,0.0003001036,0.0000062313725,0.0007068696,0.00018931249,0.000013223182,0.000001321428,0.000059488764,0.9122392],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987536,0.00003578287,0.00028186178,0.00048017132,0.00024808387,0.00020048639],"domain_scores_gemma":[0.99893534,0.00043480564,0.00019824793,0.0003557594,0.00003572296,0.000040146893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015916611,0.00028494935,0.0002946237,0.00008141443,0.00020945535,0.00009287347,0.00021203884,0.00015119034,0.000023386288],"category_scores_gemma":[0.000065303015,0.00016979137,0.00013492927,0.000016911294,0.0006248856,0.00002517202,0.00011948113,0.0003685644,0.00004972341],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032461172,0.0000041619187,8.085959e-7,0.00009736263,0.000019185512,0.000022893782,0.00007640177,0.00000173827,0.088857636,0.2921479,0.00005463192,0.6186848],"study_design_scores_gemma":[0.000109175344,0.00021592624,0.0000075259195,0.0004886487,0.000051823557,0.000024072539,0.000010394275,0.00010815564,0.008084911,0.25574544,0.7348636,0.00029033222],"about_ca_topic_score_codex":0.0000014204035,"about_ca_topic_score_gemma":0.00002585093,"teacher_disagreement_score":0.734809,"about_ca_system_score_codex":0.000030514087,"about_ca_system_score_gemma":0.000034361135,"threshold_uncertainty_score":0.69238913},"labels":[],"label_agreement":null},{"id":"W4399498660","doi":"10.1162/imag_a_00195","title":"Predicting brain age across the adult lifespan with spontaneous oscillations and functional coupling in resting brain networks captured with magnetoencephalography","year":2024,"lang":"en","type":"article","venue":"Imaging Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Magnetoencephalography; Resting state fMRI; Ageing; Neuroscience; Psychology; Brain activity and meditation; Neurophysiology; Aging brain; Rhythm; Brain aging; Electroencephalography; Audiology; Cognition; Medicine; Internal medicine","score_opus":0.013204269663800566,"score_gpt":0.2426597058994046,"score_spread":0.22945543623560405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399498660","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97768635,0.00011201188,0.012058914,0.008415823,0.0007877354,0.00043156373,0.000020241181,0.0002731258,0.00021423982],"genre_scores_gemma":[0.9944286,0.000017996628,0.00010008283,0.00500156,0.0001389006,0.000033634202,0.0000030758601,0.00003824442,0.0002379364],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972994,0.00011073102,0.0002778911,0.00108712,0.0005550458,0.0006698205],"domain_scores_gemma":[0.9977851,0.0016599764,0.000100414174,0.00028140534,0.00005307741,0.00012005359],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0005541586,0.0002719838,0.00015896816,0.00018908302,0.0010057655,0.0010421673,0.00027289218,0.000037754373,0.0000022942656],"category_scores_gemma":[0.0010197668,0.00017811966,0.000038664526,0.0020829018,0.0010055181,0.0006477698,0.00013259386,0.00066154124,0.0000010532979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020364116,0.000054046057,0.12279922,0.000062160645,0.000003189039,0.006403391,0.0015164039,0.56404704,0.30022237,0.0019073309,0.00021897451,0.0025622363],"study_design_scores_gemma":[0.00026113054,0.00013703454,0.075413376,0.00019281224,0.000007534185,0.0037789806,0.00021065246,0.9190977,0.0001829949,0.00011778951,0.00036419145,0.00023576464],"about_ca_topic_score_codex":0.00015224352,"about_ca_topic_score_gemma":0.0007312335,"teacher_disagreement_score":0.35505068,"about_ca_system_score_codex":0.00004250433,"about_ca_system_score_gemma":0.00007621117,"threshold_uncertainty_score":0.9999949},"labels":[],"label_agreement":null},{"id":"W4399555342","doi":"10.1016/j.celrep.2024.114348","title":"Decoding state-dependent cortical-cerebellar cellular functional connectivity in the mouse brain","year":2024,"lang":"en","type":"article","venue":"Cell Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Fondation Leducq","keywords":"Neuroscience; Cerebellum; Cerebellar cortex; Biology; Cortex (anatomy); Cerebral cortex; Functional connectivity; Population; Deep cerebellar nuclei; Medicine","score_opus":0.027520903165032255,"score_gpt":0.245855328907351,"score_spread":0.21833442574231876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399555342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899011,0.00008036169,0.003281659,0.00073607895,0.0013356825,0.00030681954,0.000006152786,0.00012282367,0.00422928],"genre_scores_gemma":[0.9942001,0.000023026865,0.000009429557,0.00091423205,0.00008924647,0.000022670747,0.000008966352,0.000024706069,0.004707631],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980009,0.00022719614,0.00036292133,0.000633844,0.0004725129,0.00030257736],"domain_scores_gemma":[0.99857247,0.00090891396,0.00008312624,0.00034885565,0.00001991094,0.00006673404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009806361,0.00015611811,0.00013226457,0.00010463944,0.0001803661,0.00022873467,0.00010131748,0.000059711005,0.00014911528],"category_scores_gemma":[0.0005277361,0.000113165275,0.00009124295,0.00033380656,0.00006651405,0.0001746562,0.00006498672,0.000429185,0.0000658762],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015218698,0.0001135873,0.0010368247,0.00004177207,0.0000025606969,0.004481654,0.00016498439,0.00097215344,0.9888109,0.0009882202,0.002319303,0.001052853],"study_design_scores_gemma":[0.0002428381,0.00013237543,0.0025523645,0.00002934844,0.00001868415,0.0011319871,0.000116056595,0.035893735,0.9300777,0.0076668104,0.021737069,0.00040106865],"about_ca_topic_score_codex":0.000036501,"about_ca_topic_score_gemma":0.000041341784,"teacher_disagreement_score":0.058733206,"about_ca_system_score_codex":0.00009184039,"about_ca_system_score_gemma":0.00007403515,"threshold_uncertainty_score":0.4614746},"labels":[],"label_agreement":null},{"id":"W4399565070","doi":"10.1101/2024.06.12.598676","title":"A General Framework for Characterizing Optimal Communication in Brain Networks","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Computer science; Leverage (statistics); Broadcasting (networking); Models of communication; Node (physics); Distributed computing; Communications system; Theoretical computer science; Artificial intelligence; Computer network; Communication","score_opus":0.02443439802193996,"score_gpt":0.25633114111080735,"score_spread":0.23189674308886737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399565070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97402537,0.0004881586,0.017426178,0.0032260907,0.002823499,0.001344919,0.00021609,0.00044351854,0.0000061796713],"genre_scores_gemma":[0.9834632,0.00026921023,0.012584021,0.002127054,0.00072733586,0.0006456985,0.000001224235,0.00016739052,0.000014863595],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971176,0.00024072832,0.00058074464,0.0011968692,0.00025330667,0.00061079534],"domain_scores_gemma":[0.99768966,0.0005386539,0.00033138107,0.001191229,0.00010548194,0.00014360764],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007180386,0.00047990296,0.00046913308,0.000322452,0.00019384685,0.0005562121,0.0007413721,0.0006597021,0.000012987719],"category_scores_gemma":[0.00085889926,0.0005236424,0.0001974377,0.00063129084,0.00010383314,0.0001552737,0.0009890164,0.0017788133,0.000024977317],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000685081,0.00009071428,0.00022322882,0.00030333886,0.000019582863,0.000032358144,0.000014047711,0.002705406,0.95890653,0.037318353,0.00030661782,0.000011322029],"study_design_scores_gemma":[0.000798024,0.00016511988,0.0156179145,0.002728286,0.00010240108,1.0146764e-7,0.0000030149567,0.6674932,0.3020933,0.0007165444,0.008316576,0.0019654778],"about_ca_topic_score_codex":0.000018695839,"about_ca_topic_score_gemma":0.0000026871744,"teacher_disagreement_score":0.6647878,"about_ca_system_score_codex":0.00027944986,"about_ca_system_score_gemma":0.00019157899,"threshold_uncertainty_score":0.9997215},"labels":[],"label_agreement":null},{"id":"W4399594169","doi":"10.1016/j.neuroimage.2024.120686","title":"Modulation of neuronal activity in human centromedian nucleus during an auditory attention and working memory task","year":2024,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Brain Institute; University of Toronto","funders":"","keywords":"Neuroscience; Modulation (music); Task (project management); Psychology; Working memory; Cognitive psychology; Nucleus; Audiology; Cognition; Medicine; Physics; Acoustics","score_opus":0.02507229773508099,"score_gpt":0.2576448093990845,"score_spread":0.23257251166400353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399594169","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982653,0.000005804685,0.00004395591,0.00016864398,0.0009908996,0.00015673043,0.000010750076,0.00009066122,0.00026721798],"genre_scores_gemma":[0.99958354,0.00001675,0.000011585004,0.000046717087,0.00019713886,0.000004313372,0.0000041311946,0.000025315927,0.0001104782],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987769,0.00015431138,0.00017250687,0.00048531877,0.00022004635,0.00019090164],"domain_scores_gemma":[0.9996295,0.00007967104,0.000062817206,0.00016134024,0.000008641158,0.000058061953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000110549845,0.00011616051,0.00011485464,0.00021449693,0.0001092941,0.000092316484,0.00008478009,0.000042867257,0.000011873859],"category_scores_gemma":[0.000057542216,0.00012261125,0.000039841536,0.0002531286,0.00008062005,0.0005398635,0.00006404868,0.0002475357,0.0000033446956],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023678009,0.000053279582,0.0016156879,0.000065068954,7.653029e-7,0.00007248731,0.00006684595,0.000175638,0.9921153,0.00016683477,0.000006689357,0.0056376993],"study_design_scores_gemma":[0.00026866296,0.00009651627,0.8906462,0.00005028547,0.0000055361447,0.000019510886,0.0000071099353,0.06390993,0.0446076,0.0002031671,0.000072398085,0.000113054135],"about_ca_topic_score_codex":0.000016546517,"about_ca_topic_score_gemma":0.000024103954,"teacher_disagreement_score":0.94750774,"about_ca_system_score_codex":0.00003823128,"about_ca_system_score_gemma":0.000010786053,"threshold_uncertainty_score":0.4999942},"labels":[],"label_agreement":null},{"id":"W4399701675","doi":"10.1101/2024.06.13.598937","title":"Deriving connectivity from spiking activity in detailed models of large-scale cortical microcircuits","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Neuroscience; Cortical neurons; Computer science; Psychology","score_opus":0.024600303199399428,"score_gpt":0.23804718912159467,"score_spread":0.21344688592219524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399701675","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99117076,0.00023714338,0.005270406,0.0001209603,0.0016199346,0.0006594369,0.0006159199,0.00028832717,0.000017128856],"genre_scores_gemma":[0.9989398,0.000095342984,0.0004203433,0.0001516471,0.00018219653,0.00008596879,2.1047481e-7,0.00012212117,0.0000023841737],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9961108,0.0004081259,0.00061553053,0.0016890699,0.0004937717,0.0006826891],"domain_scores_gemma":[0.99778575,0.0005451229,0.00040184814,0.000938703,0.00013889124,0.00018969235],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006756329,0.00055226055,0.00082339573,0.00034892437,0.00014120698,0.00021028332,0.0005186063,0.0005588878,0.000025804662],"category_scores_gemma":[0.00064700376,0.000598802,0.00024105691,0.00071440596,0.0001442431,0.0002701584,0.0011948836,0.0018258814,0.000025571879],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045395085,0.00026679644,0.0048678564,0.00032303474,0.000025725802,0.00009158373,0.000028665365,0.00067149685,0.9924301,0.0012371589,0.0000073672245,0.000004836347],"study_design_scores_gemma":[0.00037578325,0.000031836236,0.0697604,0.0006128906,0.00006821557,2.4963313e-8,0.000002971334,0.12250134,0.8058508,0.00022812295,0.000019517018,0.0005480684],"about_ca_topic_score_codex":0.00016974083,"about_ca_topic_score_gemma":0.00011102564,"teacher_disagreement_score":0.18657926,"about_ca_system_score_codex":0.00035724076,"about_ca_system_score_gemma":0.0003746526,"threshold_uncertainty_score":0.99964637},"labels":[],"label_agreement":null},{"id":"W4399734744","doi":"10.1016/j.cub.2024.05.007","title":"Engrams","year":2024,"lang":"en","type":"article","venue":"Current Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Hospital for Sick Children; University of Toronto; Canadian Institute for Advanced Research","funders":"National Institute of Mental Health","keywords":"Engram; Function (biology); Psychology; Cognitive science; Neuroscience; Biology; Evolutionary biology","score_opus":0.0691503258870366,"score_gpt":0.33908506886015943,"score_spread":0.2699347429731228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399734744","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95423484,0.0028704444,0.0040582246,0.002164489,0.028197816,0.00021149594,0.000049365557,0.0006145209,0.007598792],"genre_scores_gemma":[0.9990392,0.0002250479,0.000005485523,0.0001732105,0.00021503035,0.000007195836,0.000008821978,0.000004999295,0.00032104485],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99950856,0.00003833575,0.00006579305,0.00023299632,0.000027929056,0.00012639994],"domain_scores_gemma":[0.9997889,0.000099221645,0.000008360237,0.000073987474,0.000004214918,0.000025349113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000040907988,0.000052714015,0.00004721218,0.000043135453,0.00003473415,0.000027285641,0.00007498169,0.00002764016,0.00008694333],"category_scores_gemma":[0.00007669814,0.000037752114,0.00003560367,0.00012917383,0.00005252273,0.000035324818,0.000032350385,0.00011555581,0.00048833055],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024307271,0.00001459422,0.000092613205,0.000014268128,7.9512114e-7,0.000004014405,0.000013704856,9.374873e-7,0.43438792,0.168354,0.0018250789,0.39528963],"study_design_scores_gemma":[0.000046596837,0.00005694627,0.000104655934,0.000013373478,0.0000028966178,0.000017640978,0.0000012320454,0.005890586,0.018994793,0.0151492255,0.95964026,0.00008177314],"about_ca_topic_score_codex":0.0000010421506,"about_ca_topic_score_gemma":5.14595e-7,"teacher_disagreement_score":0.95781523,"about_ca_system_score_codex":0.000010324942,"about_ca_system_score_gemma":0.000009512812,"threshold_uncertainty_score":0.6276664},"labels":[],"label_agreement":null},{"id":"W4399886330","doi":"10.1016/j.cub.2024.05.045","title":"Temporal information in the anterior cingulate cortex relates to accumulated experiences","year":2024,"lang":"en","type":"article","venue":"Current Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Anterior cingulate cortex; Recall; Neuroscience; Cognition; Psychology; Cognitive flexibility; Flexibility (engineering); Task (project management); Working memory; Session (web analytics); Premovement neuronal activity; Cognitive psychology; Computer science; Mathematics; Statistics","score_opus":0.04324844540671215,"score_gpt":0.3375037434046407,"score_spread":0.29425529799792854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399886330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99566007,0.00016535468,0.0002283616,0.0008270911,0.0026937267,0.00021369556,0.00000816295,0.000065079774,0.00013848094],"genre_scores_gemma":[0.9992577,0.00005439149,0.000005167411,0.0005603193,0.00004637003,0.00003944498,0.00001631714,0.0000029149344,0.000017372371],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992903,0.00008912046,0.00020881243,0.00018490343,0.00006252093,0.00016433926],"domain_scores_gemma":[0.99971664,0.000117230236,0.000032862747,0.0001003979,0.000009707451,0.000023142718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015107579,0.00008160159,0.00007903524,0.00014038292,0.00006257158,0.000098191245,0.0001746973,0.000041259376,0.00003194237],"category_scores_gemma":[0.00016047488,0.000048391845,0.000030274532,0.0004096898,0.000054821525,0.0002460344,0.000047685236,0.00014484259,0.00013288761],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015631357,0.000117845244,0.007722846,0.00011521399,0.0000067472643,0.00003781566,0.038400285,0.00021635728,0.5237954,0.015617332,0.0025764243,0.41123736],"study_design_scores_gemma":[0.0010384279,0.001760957,0.062672935,0.00064672483,0.000023325907,0.00023787167,0.004171792,0.29757413,0.023795353,0.009596263,0.5973159,0.0011663053],"about_ca_topic_score_codex":0.000015718704,"about_ca_topic_score_gemma":0.0000059189524,"teacher_disagreement_score":0.5947395,"about_ca_system_score_codex":0.000017096052,"about_ca_system_score_gemma":0.000015261616,"threshold_uncertainty_score":0.19733623},"labels":[],"label_agreement":null},{"id":"W4399887767","doi":"10.7554/elife.90735.4","title":"A novel method for estimating properties of attentional oscillators reveals an age-related decline in flexibility","year":2024,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Flexibility (engineering); Neuroscience; Biology; Cognitive psychology; Computer science; Psychology; Mathematics; Statistics","score_opus":0.10535626247829545,"score_gpt":0.359228528881296,"score_spread":0.2538722664030006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399887767","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94977736,0.000035453755,0.0484867,0.00057628826,0.0006110364,0.000344489,0.000038580616,0.00007620088,0.000053917684],"genre_scores_gemma":[0.9484667,0.0000015592562,0.050799392,0.00031661455,0.000055598248,0.000026909975,0.0000067052492,0.000014282729,0.00031224213],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99881536,0.000080186415,0.00037239448,0.00036806433,0.00021990197,0.0001441184],"domain_scores_gemma":[0.9994838,0.00023853399,0.00006332827,0.0001323872,0.000043712724,0.000038233553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009385206,0.00008868996,0.00015145607,0.00009596949,0.000056159683,0.000043153614,0.00008429514,0.000049450693,0.000010196417],"category_scores_gemma":[0.001369617,0.00006950022,0.00007059543,0.00030880768,0.000057591275,0.00017496553,0.000051176397,0.00010809464,0.0000034695543],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033722023,0.00007129326,0.00022117945,0.00013252346,0.0000029857938,0.000003041593,0.0001003308,0.003476093,0.98852104,0.00420557,0.000030738887,0.0032014914],"study_design_scores_gemma":[0.0002570771,0.00010262478,0.0021811659,0.00015460898,0.0000074084114,0.000018445897,0.000012241817,0.9318477,0.061563708,0.003624306,0.00013440402,0.000096336495],"about_ca_topic_score_codex":0.000054014123,"about_ca_topic_score_gemma":0.000030613992,"teacher_disagreement_score":0.92837155,"about_ca_system_score_codex":0.000034263343,"about_ca_system_score_gemma":0.00004253842,"threshold_uncertainty_score":0.2834137},"labels":[],"label_agreement":null},{"id":"W4399909081","doi":"10.1016/j.neuroimage.2024.120696","title":"Deep learning based decoding of single local field potential events","year":2024,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"H2020 European Research Council; Horizon 2020; European Research Council; Horizon 2020 Framework Programme; Deutsche Forschungsgemeinschaft; European Commission","keywords":"Local field potential; Computer science; Artificial intelligence; Pattern recognition (psychology); Cluster analysis; Decoding methods; Neural coding; Neuroscience; Electroencephalography; Artificial neural network; Neural activity; Stimulus (psychology); Neural decoding; Psychology; Algorithm","score_opus":0.022241535514556283,"score_gpt":0.2552928960903453,"score_spread":0.23305136057578899,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399909081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.773645,0.000035123947,0.22102319,0.0006934271,0.0016717843,0.00012768173,0.0000038779935,0.00021670046,0.002583222],"genre_scores_gemma":[0.9987346,0.0000075309217,0.000100957506,0.0006339896,0.00006368232,0.0000023535752,0.0000020965758,0.000021655293,0.000433119],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99899507,0.00009565734,0.00016631476,0.0003366418,0.0002202475,0.00018604481],"domain_scores_gemma":[0.99946076,0.00031595235,0.000040337105,0.00012347504,0.000015188874,0.00004430863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008117035,0.0000989346,0.00009737785,0.00010356423,0.00008496816,0.000057880625,0.00012282858,0.000040864274,0.00014410993],"category_scores_gemma":[0.00033503037,0.00009319093,0.000095057236,0.00024185574,0.00003862776,0.00015540107,0.000053767857,0.00024255259,0.000046381232],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025820502,0.000038534836,0.000083388826,0.000047673184,0.0000011565115,0.0001485512,0.000013783486,0.0054690535,0.9628698,0.00017946855,0.0000867605,0.031035975],"study_design_scores_gemma":[0.00013051914,0.00033853628,0.00030965303,0.000034893365,0.000009474588,0.000026130327,0.0000061595856,0.6574799,0.34013727,0.00020266221,0.0012363974,0.00008841411],"about_ca_topic_score_codex":0.000006963547,"about_ca_topic_score_gemma":0.0000020380544,"teacher_disagreement_score":0.65201086,"about_ca_system_score_codex":0.000017125332,"about_ca_system_score_gemma":0.000014723701,"threshold_uncertainty_score":0.3800216},"labels":[],"label_agreement":null},{"id":"W4399911841","doi":"","title":"Frugal inference for control.","year":2025,"lang":"en","type":"preprint","venue":"PubMed","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Air Force Office of Scientific Research","keywords":"Inference; Computer science; Linear-quadratic-Gaussian control; Approximate inference; Stochastic control; Mathematical optimization; Control (management); Optimal control; Artificial intelligence; Mathematics","score_opus":0.04904799219782299,"score_gpt":0.26986949460421644,"score_spread":0.22082150240639345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399911841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35322428,0.00046762673,0.297348,0.033859078,0.081167266,0.05020597,0.011034015,0.0027066267,0.16998716],"genre_scores_gemma":[0.9803966,0.000031734693,0.00005543884,0.0025070352,0.00023841768,0.008384865,0.000018847515,0.000011467886,0.00835556],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985937,0.00006131535,0.00021806145,0.00060262263,0.00016464914,0.00035967515],"domain_scores_gemma":[0.99870473,0.0006956371,0.00013243026,0.00033290515,0.000059061113,0.00007525431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020580721,0.00018427402,0.00024364679,0.000103682796,0.000091128386,0.00012935087,0.00037487954,0.00017621672,0.000006703305],"category_scores_gemma":[0.002117858,0.00016875839,0.00015482336,0.00009405552,0.000047159232,0.000052080424,0.0002753651,0.00033797254,0.0000048837624],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067503564,0.0002960151,0.0016144022,0.0010325924,0.00007349396,0.000017359604,0.000060031045,0.0062292116,0.004275572,0.094711356,0.012605687,0.87840927],"study_design_scores_gemma":[0.007193476,0.00017007034,0.15250209,0.00022459587,0.00041793816,0.000011355313,0.0000119645765,0.22194953,0.03882419,0.3315487,0.24438924,0.0027568773],"about_ca_topic_score_codex":0.000015022349,"about_ca_topic_score_gemma":0.000008831057,"teacher_disagreement_score":0.8756524,"about_ca_system_score_codex":0.000061008977,"about_ca_system_score_gemma":0.00006686331,"threshold_uncertainty_score":0.68817675},"labels":[],"label_agreement":null},{"id":"W4400032953","doi":"10.7554/elife.98002","title":"Single neurons and networks in the mouse claustrum integrate input from widespread cortical sources","year":2024,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Clarendon Fund; Biotechnology and Biological Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Wellcome Trust","keywords":"Claustrum; Neuroscience; Computer science; Biology","score_opus":0.029872918605393754,"score_gpt":0.24853073377864163,"score_spread":0.21865781517324787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400032953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960318,0.00012109907,0.0005268531,0.0022919031,0.0005467471,0.00010713737,0.000014103029,0.00007972117,0.0002806212],"genre_scores_gemma":[0.9960877,0.00008024155,0.000013726313,0.0033426832,0.00016567367,0.000007453535,0.0000050324365,0.000013729108,0.00028378642],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99901724,0.00016629299,0.00014593649,0.00031509553,0.0001645001,0.00019095463],"domain_scores_gemma":[0.9989471,0.0008311543,0.000019296634,0.00015064116,0.000005983555,0.000045821085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013747894,0.000103166385,0.00008805549,0.00004567341,0.00009109257,0.00028823843,0.00011975798,0.000052061983,0.000017668794],"category_scores_gemma":[0.0003262817,0.000065784676,0.000029765139,0.00023044068,0.000112866575,0.0001183012,0.00006448795,0.00042237446,0.000022312262],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012322303,0.00020776175,0.0071040457,0.000020802909,0.000010389193,0.00053234264,0.0015352091,0.0016345538,0.9406858,0.011465626,0.010276892,0.026403356],"study_design_scores_gemma":[0.0004346727,0.00049677916,0.021549752,0.00012274679,0.00003958955,0.000115772134,0.00037320927,0.86502266,0.066070795,0.002300271,0.043017063,0.00045670025],"about_ca_topic_score_codex":0.000083283005,"about_ca_topic_score_gemma":0.00012170121,"teacher_disagreement_score":0.874615,"about_ca_system_score_codex":0.000013330397,"about_ca_system_score_gemma":0.00001049293,"threshold_uncertainty_score":0.27794898},"labels":[],"label_agreement":null},{"id":"W4400038630","doi":"10.1038/s41467-024-48829-6","title":"Claustrum neurons projecting to the anterior cingulate restrict engagement during sleep and behavior","year":2024,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Israel Science Foundation; Hebrew University of Jerusalem; National Alliance for Research on Schizophrenia and Depression; Canadian Institute for Advanced Research","keywords":"Claustrum; Disengagement theory; Anterior cingulate cortex; Psychology; Neuroscience; Task (project management); Population; Sleep (system call); Cognition; Medicine","score_opus":0.04189816543246647,"score_gpt":0.32460609079892644,"score_spread":0.28270792536645994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400038630","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9804494,0.0006109267,0.000022611439,0.016794251,0.0006937565,0.0005915421,0.000022957362,0.00018136963,0.0006331964],"genre_scores_gemma":[0.99809945,0.00029238706,0.00029651716,0.0007587811,0.00006614076,0.0001171818,0.000003404126,0.000019181221,0.000346949],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99904275,0.0002011989,0.00015759317,0.00028739005,0.0001386206,0.00017243413],"domain_scores_gemma":[0.99862826,0.00037900277,0.000034833654,0.00088822155,0.000022479147,0.00004718554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020692425,0.000103615974,0.00007025924,0.00012595132,0.0009374686,0.0002661509,0.00057059835,0.00006915061,0.000005138193],"category_scores_gemma":[0.00042149736,0.00007535166,0.000039410825,0.00058162404,0.00005978845,0.00012302793,0.00067447394,0.0011462381,0.000014713373],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018645347,0.00012321323,0.0021710284,0.000054297518,0.000012489371,0.000037428163,0.0014255592,0.000066569206,0.94563895,0.012797227,0.00096414296,0.036690433],"study_design_scores_gemma":[0.00059955684,0.00037318552,0.6042285,0.00047755512,0.00032411868,0.000685506,0.000700232,0.069691524,0.045454733,0.0003900752,0.2760853,0.0009897462],"about_ca_topic_score_codex":0.000014118516,"about_ca_topic_score_gemma":0.000119669035,"teacher_disagreement_score":0.9001842,"about_ca_system_score_codex":0.00003906718,"about_ca_system_score_gemma":0.000016818343,"threshold_uncertainty_score":0.7210345},"labels":[],"label_agreement":null},{"id":"W4400068432","doi":"10.1097/wnr.0000000000002069","title":"Theta oscillations linked to auditory informativeness and context disambiguation","year":2024,"lang":"en","type":"article","venue":"Neuroreport","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Neurological Institute and Hospital; Université de Montréal; McGill University; International Laboratory for Brain, Music and Sound Research; Institut Universitaire de Gériatrie de Montréal","funders":"","keywords":"Tone (literature); Context (archaeology); Speech recognition; Task (project management); Sequence (biology); Event-related potential; Interval (graph theory); Computer science; Psychology; Electroencephalography; Mathematics; Neuroscience; Biology","score_opus":0.03637274434344775,"score_gpt":0.28473315253875675,"score_spread":0.248360408195309,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400068432","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98673534,0.000016959684,0.0017052658,0.0021149511,0.0026670985,0.00031926436,0.000016679574,0.00023296154,0.0061914613],"genre_scores_gemma":[0.99679285,0.000020607415,0.000013207151,0.0013931781,0.00015200954,0.00002427224,0.000006101307,0.000014276597,0.0015835005],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99908656,0.000038564696,0.00022732068,0.0003032187,0.00021569165,0.0001286427],"domain_scores_gemma":[0.999499,0.00018156844,0.00004762545,0.00016457737,0.000028444587,0.00007877649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012730648,0.00009978363,0.00008878226,0.00011515924,0.00014157462,0.00016832486,0.00006249258,0.000033784127,0.000026480397],"category_scores_gemma":[0.00040737254,0.00008332551,0.00003619972,0.00029306638,0.000049000075,0.00039112216,0.00006020471,0.00012293426,0.00009287583],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051445655,0.000055860153,0.0016943684,0.00012576449,0.000010860978,0.00028327465,0.0019194599,0.0008231165,0.7360727,0.022530068,0.00575099,0.23068208],"study_design_scores_gemma":[0.00044907097,0.0005322038,0.23255585,0.0001607185,0.000051622505,0.00085420866,0.00018496539,0.11812658,0.021271959,0.008485343,0.61654395,0.0007835336],"about_ca_topic_score_codex":0.00001007241,"about_ca_topic_score_gemma":0.000007711111,"teacher_disagreement_score":0.7148008,"about_ca_system_score_codex":0.00002290982,"about_ca_system_score_gemma":0.000043523974,"threshold_uncertainty_score":0.33979157},"labels":[],"label_agreement":null},{"id":"W4400117685","doi":"10.1162/jocn_a_02209","title":"Needing: An Active Inference Process for Physiological Motivation","year":2024,"lang":"en","type":"article","venue":"Journal of Cognitive Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Centre for Interdisciplinary Research in Rehabilitation","funders":"","keywords":"Surprise; Inference; Psychology; Cognitive psychology; Cognition; Process (computing); Through-the-lens metering; Organism; Reward system; Cognitive science; Computer science; Neuroscience; Communication; Artificial intelligence","score_opus":0.15525316062910943,"score_gpt":0.38388065697201745,"score_spread":0.22862749634290802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400117685","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9785592,0.000008248106,0.0191,0.00036171702,0.0014495616,0.00024188831,0.000030018493,0.000043312044,0.00020607725],"genre_scores_gemma":[0.9983361,0.000031312742,0.000021662001,0.0012475133,0.0002753639,0.000011898063,0.0000011270153,0.000012181525,0.000062854386],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985655,0.00009015704,0.00028923864,0.0003949321,0.00042185085,0.00023834876],"domain_scores_gemma":[0.9979395,0.0013037433,0.00022115272,0.000056623303,0.00035725924,0.00012170387],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00025904682,0.00013825508,0.00016617817,0.00021026413,0.00019242696,0.00022055613,0.00028455298,0.00004657174,0.000009258836],"category_scores_gemma":[0.009241182,0.000098781544,0.00009920173,0.00067213847,0.00022867814,0.0017750686,0.00003159943,0.00031614068,0.000002822559],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015259134,0.00011002659,0.00005888358,0.00002141762,0.0000011168355,0.000029457638,0.0002312177,0.00021123135,0.9864874,0.0014239891,0.000024617662,0.011248055],"study_design_scores_gemma":[0.0006306047,0.005366181,0.022369327,0.00037458978,0.000041636424,0.0003176365,0.00041298664,0.09942972,0.85213447,0.018265335,0.00033159743,0.00032591898],"about_ca_topic_score_codex":2.6401727e-7,"about_ca_topic_score_gemma":1.6147413e-7,"teacher_disagreement_score":0.13435292,"about_ca_system_score_codex":0.000029551484,"about_ca_system_score_gemma":0.00013774492,"threshold_uncertainty_score":0.9991044},"labels":[],"label_agreement":null},{"id":"W4400194221","doi":"10.1371/journal.pone.0299784","title":"Behavioral and neural measures of confidence using a novel auditory pitch identification task","year":2024,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Identification (biology); Audiology; Task (project management); Confidence interval; Speech recognition; Biology; Computer science; Statistics; Medicine; Mathematics; Ecology; Engineering","score_opus":0.1875764438421088,"score_gpt":0.2972910336335641,"score_spread":0.10971458979145526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400194221","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979317,0.00009395622,0.0011731059,0.00015292184,0.00038392653,0.00015099098,0.00003076723,0.000057092802,0.000025521198],"genre_scores_gemma":[0.9994837,0.000028033519,0.00013993528,0.00004890079,0.00009781174,0.000006652416,0.0000018359398,0.000012049517,0.00018109546],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99908423,0.000030491567,0.00017521961,0.0002810025,0.00032125154,0.000107814965],"domain_scores_gemma":[0.99964744,0.00008000507,0.00005903918,0.00012907076,0.000048677306,0.000035764013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011172126,0.00007557943,0.00010470955,0.00008171884,0.00006845711,0.0000894777,0.0000805933,0.000035035227,0.000011040237],"category_scores_gemma":[0.0001217374,0.000072294155,0.000025781148,0.00017491289,0.00010080617,0.00025034248,0.000036838002,0.000110177476,0.000004703001],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009448275,0.00019470355,0.00018293475,0.000079546524,0.000004740688,0.0000035686637,0.00008778817,0.00001658235,0.9980413,0.0007270849,0.000011238755,0.00064108917],"study_design_scores_gemma":[0.00012922454,0.0001045798,0.0033168804,0.00018957607,0.000115313436,0.000019490695,0.000023912307,0.1942542,0.80118597,0.00048704704,0.000033646334,0.0001401864],"about_ca_topic_score_codex":0.000047032074,"about_ca_topic_score_gemma":0.000006683943,"teacher_disagreement_score":0.19685534,"about_ca_system_score_codex":0.000022386483,"about_ca_system_score_gemma":0.00002317305,"threshold_uncertainty_score":0.29480702},"labels":[],"label_agreement":null},{"id":"W4400378335","doi":"10.1101/2024.07.02.601788","title":"Thalamic Influence Over Adaptive Cortical Dynamics Across Conscious States","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Dynamics (music); Laminar flow; Control (management); Neuroscience; Psychology; Computer science; Physics; Mechanics; Artificial intelligence","score_opus":0.015060280501474503,"score_gpt":0.24743699856534546,"score_spread":0.23237671806387095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400378335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99222153,0.0001655774,0.0005631517,0.00029486674,0.0030639428,0.00079053,0.0020171483,0.00085599354,0.00002725632],"genre_scores_gemma":[0.9981134,0.00024988875,0.00022783084,0.0007991978,0.00024139763,0.00014597744,5.7622833e-7,0.00019120953,0.000030540537],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9952505,0.00024362773,0.0006849221,0.0019611379,0.0008555552,0.0010042442],"domain_scores_gemma":[0.9972728,0.00043353744,0.00036408188,0.0011951679,0.00040291037,0.00033153908],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0005653757,0.0007817186,0.0006280619,0.00020850386,0.00035776116,0.00078708294,0.00080544234,0.000597419,0.000027822922],"category_scores_gemma":[0.000955293,0.0007704532,0.00024335943,0.0007425201,0.0006062349,0.00022426945,0.0018168974,0.0023321966,0.00031377652],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008532219,0.00014272016,0.0038933698,0.00034639938,0.00006524962,0.00044252982,0.000025253263,0.0014834087,0.98095036,0.012400033,0.00015997194,0.0000053852796],"study_design_scores_gemma":[0.0010706657,0.00041031005,0.23352993,0.0013214095,0.00029961872,6.51274e-7,0.000021018215,0.40413386,0.35419208,0.0006783135,0.0010078927,0.0033342612],"about_ca_topic_score_codex":0.00014867823,"about_ca_topic_score_gemma":0.000026722746,"teacher_disagreement_score":0.6267583,"about_ca_system_score_codex":0.0008609329,"about_ca_system_score_gemma":0.000653757,"threshold_uncertainty_score":0.9999695},"labels":[],"label_agreement":null},{"id":"W4400447672","doi":"10.1038/s41467-024-49704-0","title":"Stimulus type shapes the topology of cellular functional networks in mouse visual cortex","year":2024,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Government of Canada; National Eye Institute; U.S. Department of Health and Human Services","keywords":"Stimulus (psychology); Neuroscience; Sensory system; Visual cortex; Functional connectivity; Nerve net; Electrophysiology; Biology; Psychology; Cognitive psychology","score_opus":0.030296535170080786,"score_gpt":0.30831520094266884,"score_spread":0.27801866577258805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400447672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9474751,0.01585132,0.003887288,0.021434503,0.0037512386,0.00076384057,0.0000609711,0.00028031674,0.006495472],"genre_scores_gemma":[0.99786884,0.000522562,0.000047187725,0.0007721097,0.00005473866,0.0000118946255,0.000027172495,0.000010377506,0.00068514684],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927044,0.00017266582,0.00016630348,0.00016439422,0.00011304447,0.00011316877],"domain_scores_gemma":[0.9984914,0.0009598324,0.000039116785,0.0004450536,0.00004560453,0.000019015999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015771837,0.000072582705,0.0000819848,0.00008482058,0.00014568621,0.00003127814,0.0004791082,0.00014428436,0.000054783195],"category_scores_gemma":[0.00023243423,0.000052198266,0.000043749093,0.00058791536,0.00020457082,0.00007185327,0.00020619851,0.00090688374,0.000015700962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005229627,0.00020387638,0.0005942698,0.000013755499,0.000014146152,0.000006083296,0.00012572198,0.004137279,0.641794,0.34503493,0.0033124126,0.004711223],"study_design_scores_gemma":[0.00015198723,0.000102398495,0.0075392146,0.000022714983,0.000018183457,0.000016550179,0.00006315737,0.9563007,0.00495765,0.0015296792,0.029167194,0.00013056656],"about_ca_topic_score_codex":0.000018140241,"about_ca_topic_score_gemma":0.0002296524,"teacher_disagreement_score":0.9521634,"about_ca_system_score_codex":0.000028498704,"about_ca_system_score_gemma":0.000041715575,"threshold_uncertainty_score":0.3940009},"labels":[],"label_agreement":null},{"id":"W4400520533","doi":"10.1016/j.clinph.2024.07.004","title":"Stochastic resonance in the sensory systems and its applications in neural prosthetics","year":2024,"lang":"en","type":"review","venue":"Clinical Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Vancouver Coastal Health","funders":"Australian Research Council","keywords":"Sensory system; Stochastic resonance; Neuroscience; Cognitive science; Computer science; Psychology; Artificial intelligence; Noise (video)","score_opus":0.16271556949906216,"score_gpt":0.409019163664444,"score_spread":0.24630359416538186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400520533","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007845973,0.9877141,0.000004380754,0.00019262503,0.0014822608,0.0025820131,0.00008631599,0.000050283845,0.000042011485],"genre_scores_gemma":[0.025406219,0.9730055,9.2241277e-7,0.00055120216,0.00029048507,0.00046489012,0.000012209138,0.000047973484,0.00022060568],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9955546,0.0018556155,0.0010625913,0.0010662026,0.00013630031,0.00032463463],"domain_scores_gemma":[0.99429005,0.004944038,0.00023256792,0.00046182072,0.000015993683,0.00005554701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003065482,0.0003348729,0.0010906791,0.00015179161,0.00006831609,0.000059266233,0.00048870547,0.00029383338,8.97481e-7],"category_scores_gemma":[0.001190142,0.00019659479,0.00020865981,0.0006499355,0.00027646596,0.000038008395,0.0002160551,0.0016609885,0.00009734496],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008563316,0.0008322355,0.000007758488,0.01783142,0.000014656795,0.00094795885,0.000097873104,0.00064512936,0.00074478635,0.033166457,0.00029346676,0.94533265],"study_design_scores_gemma":[0.00036414675,0.0008531222,0.00034393443,0.0028741695,0.00025247099,0.00048832386,0.000017687113,0.053170037,3.595239e-7,0.001169964,0.9397832,0.0006825575],"about_ca_topic_score_codex":0.000002589834,"about_ca_topic_score_gemma":0.000002258049,"teacher_disagreement_score":0.94465005,"about_ca_system_score_codex":0.000019682388,"about_ca_system_score_gemma":0.000058146088,"threshold_uncertainty_score":0.8016903},"labels":[],"label_agreement":null},{"id":"W4400578985","doi":"10.1523/eneuro.0450-23.2024","title":"Detection of Memory Engrams in Mammalian Neuronal Circuits","year":2024,"lang":"en","type":"article","venue":"eNeuro","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Neuroscience; Biological neural network; Premovement neuronal activity; Neuron; Hippocampal formation; Stimulation; Nerve net; Engram; Electrophysiology; Neuronal circuits; Biology","score_opus":0.023524237695446416,"score_gpt":0.24173304335775186,"score_spread":0.21820880566230544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400578985","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952474,0.000026660246,0.00016835617,0.00023374922,0.0018074196,0.00010544969,0.0000068493855,0.000087718625,0.0023163543],"genre_scores_gemma":[0.9987546,0.00001840949,0.0000023734397,0.00033103992,0.000079945064,0.0000075928197,9.415787e-7,0.000018114124,0.0007869578],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990761,0.0000916206,0.00017040972,0.00032431562,0.0001824006,0.00015513624],"domain_scores_gemma":[0.9996139,0.0001848144,0.00002725431,0.00013158984,0.000007984184,0.000034465767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009578665,0.0000871502,0.00008462154,0.0001614305,0.000029775676,0.00003590739,0.00010397491,0.0000361052,0.000034866753],"category_scores_gemma":[0.00019223876,0.00008268734,0.000053786112,0.00050008134,0.00003814016,0.00013369793,0.000031458174,0.00019790587,0.00004158173],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006605946,0.000021531798,0.000055669665,0.000030728886,4.5559173e-7,0.00007447777,0.000038623584,0.00017792865,0.9394278,0.00069818157,0.000024466824,0.05944354],"study_design_scores_gemma":[0.00014005098,0.00016609931,0.009889017,0.00002389511,0.00000410529,0.0000596854,0.000006592242,0.014530372,0.9696554,0.0008481352,0.004565548,0.00011111434],"about_ca_topic_score_codex":0.000019781928,"about_ca_topic_score_gemma":0.000025105966,"teacher_disagreement_score":0.059332427,"about_ca_system_score_codex":0.000019532063,"about_ca_system_score_gemma":0.000016784315,"threshold_uncertainty_score":0.33718917},"labels":[],"label_agreement":null},{"id":"W4400611612","doi":"10.1101/2024.07.09.602643","title":"Ultraslow serotonin oscillations in the hippocampus delineate substates across NREM and waking","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Douglas Mental Health University Institute","funders":"Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft","keywords":"Non-rapid eye movement sleep; Serotonin; Hippocampus; Neuroscience; Psychology; Sleep (system call); Medicine; Electroencephalography; Internal medicine; Computer science","score_opus":0.023761449517728035,"score_gpt":0.2568307369254685,"score_spread":0.23306928740774044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400611612","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953507,0.00048348066,0.00012668411,0.0011908442,0.0013807014,0.00089236925,0.0002870326,0.00027412866,0.00001406471],"genre_scores_gemma":[0.9978945,0.0006278573,0.00022349991,0.0007384528,0.00022942065,0.00019272961,3.3072544e-7,0.00008771958,0.000005469145],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99708706,0.0002659776,0.00049511046,0.0011950273,0.00036156605,0.00059522776],"domain_scores_gemma":[0.99842274,0.00037843746,0.0002140809,0.00075368513,0.00011725718,0.00011377622],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008964854,0.0004663397,0.0003431422,0.00019849799,0.00034366891,0.0008885534,0.00051202165,0.00029780378,0.0000073874726],"category_scores_gemma":[0.00040524098,0.00037632108,0.00010648412,0.0008693792,0.0001912753,0.00015148136,0.0005046691,0.0012420649,0.00004247274],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021482881,0.00006314907,0.0034940368,0.0003251509,0.000016808846,0.00015056382,0.00014555227,0.00066992483,0.9931885,0.00179466,0.00007280345,0.000057383855],"study_design_scores_gemma":[0.0017641354,0.00025297032,0.19147816,0.0026390925,0.00027393203,0.0000019695094,0.00013049213,0.14087166,0.6427884,0.002624843,0.01316205,0.0040123127],"about_ca_topic_score_codex":0.000069487935,"about_ca_topic_score_gemma":0.000037650134,"teacher_disagreement_score":0.3504001,"about_ca_system_score_codex":0.00013838445,"about_ca_system_score_gemma":0.00015382578,"threshold_uncertainty_score":0.99986887},"labels":[],"label_agreement":null},{"id":"W4400660011","doi":"10.1007/978-3-031-62983-9_15","title":"If Engrams Are the Answer, What Is the Question?","year":2024,"lang":"en","type":"article","venue":"Advances in neurobiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College; Canadian Institute for Advanced Research","funders":"","keywords":"Engram; Neuroscience; Medicine; Psychology","score_opus":0.013224023305427744,"score_gpt":0.29602973634243845,"score_spread":0.2828057130370107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400660011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85251415,0.02020436,0.0004948622,0.094513774,0.028650984,0.0010228493,0.000046542904,0.00040625565,0.0021462175],"genre_scores_gemma":[0.96916366,0.01741881,0.000006165876,0.012650518,0.00018410312,0.000042894568,0.000002165667,0.000013804593,0.0005178815],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987382,0.00033110616,0.00016600755,0.00044642558,0.00007659085,0.00024162665],"domain_scores_gemma":[0.9984238,0.0012016662,0.00005044676,0.00029364164,0.00001218633,0.000018224024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018083506,0.00012530314,0.00010226167,0.0000471172,0.00015847123,0.00014541448,0.00035970888,0.00005008287,0.00002744559],"category_scores_gemma":[0.00018529702,0.000062642954,0.000056213237,0.00039791278,0.00030653412,0.0005407574,0.00008627547,0.00037684944,0.000082316816],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014427844,0.00017174456,0.0040122466,0.00013017138,0.000013217965,0.0003518144,0.001242768,0.0054656216,0.19903891,0.27227816,0.0038805057,0.51327056],"study_design_scores_gemma":[0.00017476465,0.00026835303,0.0018274578,0.00014232623,0.000011103021,0.00021383887,0.00035251465,0.010497527,0.013633528,0.046484627,0.9261428,0.00025112843],"about_ca_topic_score_codex":0.0000056599865,"about_ca_topic_score_gemma":0.000043231055,"teacher_disagreement_score":0.9222623,"about_ca_system_score_codex":0.000016694055,"about_ca_system_score_gemma":0.0000112544785,"threshold_uncertainty_score":0.25545055},"labels":[],"label_agreement":null},{"id":"W4400724818","doi":"10.1016/j.neuron.2024.06.027","title":"Dissecting attention: Rate modulation vs. phase locking","year":2024,"lang":"en","type":"letter","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Deutsche Forschungsgemeinschaft","keywords":"Modulation (music); Phase locking; Phase (matter); Psychology; Neuroscience; Communication; Physics; Acoustics","score_opus":0.0406706738742403,"score_gpt":0.29035228598728496,"score_spread":0.24968161211304465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400724818","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35784003,0.00003386251,0.00050432194,0.6132206,0.022810034,0.00075356464,0.0000885382,0.00084577606,0.003903327],"genre_scores_gemma":[0.48849168,0.000027911594,0.0000074434765,0.4804416,0.00752516,0.000032703898,0.00020443634,0.00016268657,0.02310636],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99771434,0.00016891955,0.00033500334,0.0009976024,0.0003972022,0.00038692114],"domain_scores_gemma":[0.99910736,0.00025278088,0.00019423362,0.00036029168,0.000044627366,0.000040703457],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012345763,0.00033205948,0.00023463952,0.00021950455,0.00023357428,0.0003755562,0.0002208256,0.000295875,0.00007125945],"category_scores_gemma":[0.00028179266,0.0003124751,0.00018759325,0.00037028908,0.00004183388,0.00023397741,0.000107253996,0.0017170832,0.00034424657],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043383647,0.000042982665,0.000018128481,0.0003599603,0.000007684205,0.0016643347,0.00002611667,0.00029131817,0.47964793,0.00022107254,0.5109476,0.006729498],"study_design_scores_gemma":[0.0004917667,0.00033071134,0.000247389,0.00022740097,0.0000744608,0.0001374402,0.0000023589287,0.123971164,0.007075844,0.0017545879,0.865104,0.0005828478],"about_ca_topic_score_codex":0.000007910303,"about_ca_topic_score_gemma":0.0000015481995,"teacher_disagreement_score":0.4725721,"about_ca_system_score_codex":0.000073759984,"about_ca_system_score_gemma":0.000018116129,"threshold_uncertainty_score":0.9999327},"labels":[],"label_agreement":null},{"id":"W4400735858","doi":"10.1016/j.tics.2024.06.007","title":"Quality space computations for consciousness","year":2024,"lang":"en","type":"review","venue":"Trends in Cognitive Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Max-Planck-Gesellschaft; UK Research and Innovation; HORIZON EUROPE Framework Programme; Government of the United Kingdom; Wellcome Trust; Canadian Institute for Advanced Research","keywords":"Psychology; Consciousness; Space (punctuation); Quality (philosophy); Cognitive science; Cognitive psychology; Computation; Neuroscience; Epistemology; Computer science; Algorithm","score_opus":0.448047709155864,"score_gpt":0.5268660899636766,"score_spread":0.07881838080781256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400735858","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000088213805,0.976289,0.0008181283,0.0003965482,0.0025330314,0.00089395995,0.001308767,0.00015449624,0.017517889],"genre_scores_gemma":[0.002811818,0.992396,0.00016521815,0.00019692171,0.00015274496,0.00032491135,0.000080263075,0.000030812043,0.003841286],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973095,0.00033373723,0.0005082906,0.0011155818,0.00035425185,0.00037862736],"domain_scores_gemma":[0.9959676,0.0035582273,0.00024525748,0.000112916714,0.000054267806,0.00006169414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000881138,0.00032344623,0.00079657824,0.000912115,0.0003190282,0.00027132744,0.00037869383,0.00012205238,0.000050032286],"category_scores_gemma":[0.0009996862,0.000230611,0.00034757267,0.0029632698,0.000868113,0.00017272336,0.00011466865,0.0003111316,0.000072101815],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000032312776,0.00004158613,0.000001859963,0.001246272,0.000005803864,0.000009258682,0.000050053775,0.0000037257823,0.0000045021266,0.014804805,0.00035282315,0.9834761],"study_design_scores_gemma":[0.00063425605,0.00050988194,0.000035079775,0.01533427,0.00066197786,0.00009823692,0.00031025714,0.004315769,0.00004834725,0.024424603,0.9520899,0.0015374003],"about_ca_topic_score_codex":0.000017817069,"about_ca_topic_score_gemma":0.000111950845,"teacher_disagreement_score":0.98193866,"about_ca_system_score_codex":0.00006766602,"about_ca_system_score_gemma":0.00022227176,"threshold_uncertainty_score":0.94040436},"labels":[],"label_agreement":null},{"id":"W4400859167","doi":"10.1038/s41380-024-02667-6","title":"Integration of valence and conflict processing through cellular-field interactions in human subgenual cingulate during emotional face processing in treatment-resistant depression","year":2024,"lang":"en","type":"article","venue":"Molecular Psychiatry","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hotchkiss Brain Institute; University of Lethbridge; University of Calgary","funders":"Alberta Innovates","keywords":"Psychology; Emotional valence; Valence (chemistry); Depression (economics); Neuroscience; Face (sociological concept); Anterior cingulate cortex; Cognitive psychology; Cognition; Clinical psychology","score_opus":0.022435956887255526,"score_gpt":0.3060127021437806,"score_spread":0.2835767452565251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400859167","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913462,0.0010104234,0.0065032537,0.00032290444,0.00028642174,0.0002162944,0.000006911952,0.00004376548,0.0002638563],"genre_scores_gemma":[0.9993485,0.000037185597,0.0003795751,0.00006751189,0.000031276315,0.000017983886,0.000008227049,0.000019639736,0.000090067835],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99881095,0.00007397016,0.0003179011,0.00045346617,0.00016989645,0.00017381235],"domain_scores_gemma":[0.9997275,0.000028410172,0.00008791343,0.00010991034,0.000017997267,0.000028254022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007001612,0.0001561866,0.00014269062,0.00020703267,0.00012264324,0.000102519654,0.00007339106,0.000047407695,0.000008691025],"category_scores_gemma":[0.000034698278,0.00013966704,0.000048641963,0.0004015854,0.000043195778,0.00036332806,0.000031673615,0.00021003926,8.35331e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005361085,0.00010206965,0.0023869656,0.00022586121,0.0000018637388,0.000041786334,0.0008201327,0.00037436432,0.9912927,0.0007643092,0.0000017818361,0.0039345524],"study_design_scores_gemma":[0.000640313,0.000149486,0.016540792,0.0019631835,0.000019054438,0.000051898995,0.00035204616,0.039671876,0.9381788,0.0021653224,0.000037729587,0.00022949377],"about_ca_topic_score_codex":0.00010744008,"about_ca_topic_score_gemma":0.0002388835,"teacher_disagreement_score":0.0531139,"about_ca_system_score_codex":0.00007079009,"about_ca_system_score_gemma":0.000059649316,"threshold_uncertainty_score":0.5695457},"labels":[],"label_agreement":null},{"id":"W4400861430","doi":"10.1088/1741-2552/ad6594","title":"Spiking Laguerre Volterra networks—predicting neuronal activity from local field potentials","year":2024,"lang":"en","type":"article","venue":"Journal of Neural Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Laguerre polynomials; Computer science; Field (mathematics); Local field potential; Artificial intelligence; Biological system; Neuroscience; Mathematics; Psychology; Mathematical analysis; Biology","score_opus":0.015895702623354994,"score_gpt":0.23294890639169574,"score_spread":0.21705320376834075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400861430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8079572,0.00015266896,0.18540259,0.00062161987,0.00567967,0.000047527792,0.0000050058575,0.00009489247,0.000038849186],"genre_scores_gemma":[0.99792314,0.00004319175,0.00008774499,0.00028463162,0.0015940767,9.762226e-7,6.6288317e-7,0.00003356137,0.00003199163],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987074,0.000046661968,0.00036248122,0.00024916002,0.00034833996,0.00028592162],"domain_scores_gemma":[0.9989444,0.0006676665,0.00012891745,0.000109925844,0.000027475495,0.00012160595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016353402,0.00018267261,0.00023007316,0.00016277033,0.00007750115,0.00021364125,0.00021324914,0.00007836017,0.000041070645],"category_scores_gemma":[0.00030876315,0.00015543035,0.00021311744,0.00026114975,0.000018525558,0.000633346,0.0000796248,0.0008363273,0.000003704916],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004077316,0.0000130347225,0.00006634218,0.00002147068,0.000013225423,0.0005098246,0.000026865837,0.36461788,0.59706634,0.00007042797,0.00014698354,0.037406813],"study_design_scores_gemma":[0.00013926432,0.00020658936,0.0015050059,0.00016523682,0.00002817875,0.0003862349,0.000006528977,0.96078515,0.035915084,0.000039922856,0.0006865829,0.00013624418],"about_ca_topic_score_codex":0.00001952889,"about_ca_topic_score_gemma":0.0000017963066,"teacher_disagreement_score":0.59616727,"about_ca_system_score_codex":0.000053556916,"about_ca_system_score_gemma":0.00001999133,"threshold_uncertainty_score":0.63382655},"labels":[],"label_agreement":null},{"id":"W4401059351","doi":"10.1016/j.nbd.2024.106619","title":"Neurophysiological, structural, and molecular alterations in the prefrontal and auditory cortices following noise-induced hearing loss","year":2024,"lang":"en","type":"article","venue":"Neurobiology of Disease","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Royal National Institute for Deaf People; National Institute on Aging; Alzheimer’s Research UK; Clinical Trials Fund, Canadian Institutes of Health Research","keywords":"Auditory cortex; Neuroscience; Prefrontal cortex; Neuroplasticity; Hearing loss; Psychology; Synaptic plasticity; Synaptophysin; Tinnitus; Biology; Audiology; Medicine; Cognition; Psychiatry","score_opus":0.021036524087415208,"score_gpt":0.26951456152869113,"score_spread":0.24847803744127592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401059351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99827915,0.000086859596,0.0000056666445,0.0007989264,0.00056269934,0.00019198882,0.000017155653,0.00002930506,0.000028265144],"genre_scores_gemma":[0.99896085,0.000034607598,0.000006022828,0.00092614116,0.000041805422,0.000012397279,0.000004109245,0.00000754617,0.0000065026247],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990445,0.00022701762,0.00014528778,0.00037560493,0.00006671633,0.0001408712],"domain_scores_gemma":[0.9994894,0.000294494,0.00003157425,0.00012660775,0.0000053542094,0.000052535346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004787015,0.000105862884,0.00011128679,0.00005475206,0.00010763837,0.000056919544,0.00010377262,0.000031838306,0.0000033249553],"category_scores_gemma":[0.00015588372,0.00007007622,0.00004823446,0.000110261666,0.00015672887,0.00012879992,0.00007563596,0.00016573841,0.0000012992151],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045040273,0.000016911199,0.00090769585,0.00003130233,0.0000026138423,0.000077447585,0.000056892863,0.00006891143,0.9975133,0.0010334187,0.000010559328,0.00023590523],"study_design_scores_gemma":[0.000678225,0.0011020792,0.93960893,0.00009495497,0.0001084219,0.00004624653,0.00006789174,0.021779252,0.030656911,0.00530159,0.00016603761,0.0003894338],"about_ca_topic_score_codex":0.0000081975395,"about_ca_topic_score_gemma":0.0000025342938,"teacher_disagreement_score":0.9668564,"about_ca_system_score_codex":0.000004675018,"about_ca_system_score_gemma":0.000017427597,"threshold_uncertainty_score":0.28576252},"labels":[],"label_agreement":null},{"id":"W4401107805","doi":"10.1038/s41467-024-49568-4","title":"Irrational choices via a curvilinear representational geometry for value","year":2024,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; McGill University Health Centre","funders":"National Institute of Mental Health; Natural Sciences and Engineering Research Council of Canada; Institut de Valorisation des Données; Jacobs Foundation; National Institute on Drug Abuse; Frederick Gardner Cottrell Foundation; National Institutes of Health; Research Corporation for Science Advancement","keywords":"Irrational number; Ventromedial prefrontal cortex; Value (mathematics); Curvilinear coordinates; Focus (optics); Computer science; Psychology; Geometry; Mathematics; Prefrontal cortex; Neuroscience; Physics; Cognition; Machine learning","score_opus":0.046660587359700016,"score_gpt":0.3652626336917294,"score_spread":0.3186020463320294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401107805","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23917755,0.04073648,0.17127347,0.39959654,0.025489166,0.009171618,0.0050030607,0.0047532804,0.104798816],"genre_scores_gemma":[0.98958063,0.00019227034,0.005989587,0.0019438091,0.00026018787,0.00015549202,0.000340189,0.000019977251,0.0015178311],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990774,0.00008605364,0.0001833365,0.00030008226,0.0002250995,0.000128046],"domain_scores_gemma":[0.9972458,0.0019033315,0.000044750363,0.0006749398,0.000089171524,0.000042008738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018997071,0.000092518414,0.000074966345,0.00015384643,0.00040030663,0.0001539203,0.00058845774,0.00013067003,0.000045056087],"category_scores_gemma":[0.0007764514,0.00008397561,0.00009737788,0.0005709997,0.00010151254,0.00029005978,0.00014458888,0.0005403154,0.000052597617],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001511056,0.00009821979,0.00018137762,0.000029539311,0.000014938778,0.0000010317929,0.00005381532,0.00025225515,0.13594331,0.8495583,0.010412514,0.0034395866],"study_design_scores_gemma":[0.00018390437,0.00004166127,0.0022590356,0.000024684576,0.000023330153,0.000031007647,0.000012560717,0.46230045,0.0056904834,0.026480177,0.5027802,0.00017247263],"about_ca_topic_score_codex":0.000007424478,"about_ca_topic_score_gemma":0.00003703583,"teacher_disagreement_score":0.8230781,"about_ca_system_score_codex":0.000041910273,"about_ca_system_score_gemma":0.00006441717,"threshold_uncertainty_score":0.3424426},"labels":[],"label_agreement":null},{"id":"W4401206819","doi":"10.1093/cercor/bhae316","title":"Cortical–subcortical interactions underlie processing of auditory predictions measured with 7T fMRI","year":2024,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; McGill University; International Laboratory for Brain, Music and Sound Research; Centre for Research on Brain Language and Music; Montreal Neurological Institute and Hospital","funders":"National Institute on Deafness and Other Communication Disorders; Canadian Institutes of Health Research; National Institutes of Health; Concordia University; Fondation Pour l'Audition; Canada Research Chairs; Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec; Fondation Brain Canada; McGill University","keywords":"Predictability; Auditory cortex; Neuroscience; Functional magnetic resonance imaging; Psychology; Predictive coding; Sensory system; Perception; Contrast (vision); Auditory perception; Cognitive psychology; Coding (social sciences); Computer science; Artificial intelligence; Physics","score_opus":0.03287570775490819,"score_gpt":0.2737547901080517,"score_spread":0.2408790823531435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401206819","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9514572,0.00009857048,0.02921453,0.0014411875,0.0035566555,0.00046308275,0.000047284353,0.00068803085,0.013033449],"genre_scores_gemma":[0.9981989,0.000010357771,0.0001184143,0.00018035059,0.00026833036,0.000025952912,0.000007801587,0.00003335262,0.0011565351],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984598,0.00007368458,0.00031542577,0.00048247993,0.00039785905,0.00027076367],"domain_scores_gemma":[0.999268,0.00022654345,0.000072905124,0.00021663496,0.00008340012,0.00013253988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000084985695,0.00016639344,0.00017947903,0.00014091682,0.00023349171,0.00015423994,0.00013830734,0.00006182083,0.00021214958],"category_scores_gemma":[0.00019814508,0.00012777314,0.00009038148,0.0005633991,0.0002751314,0.00053397944,0.00004455586,0.00045013413,0.000066334105],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021658927,0.0003491651,0.0010276121,0.0002864665,0.000049396036,0.00009784141,0.00023399909,0.00032359728,0.9587899,0.021488482,0.00364374,0.013493206],"study_design_scores_gemma":[0.0015871282,0.0024115504,0.14080968,0.0014205282,0.0006140885,0.0012248277,0.0007437738,0.75006056,0.07506238,0.0063919104,0.018288685,0.0013849162],"about_ca_topic_score_codex":0.000008863838,"about_ca_topic_score_gemma":0.00003789121,"teacher_disagreement_score":0.88372755,"about_ca_system_score_codex":0.00008833232,"about_ca_system_score_gemma":0.00018677462,"threshold_uncertainty_score":0.5210437},"labels":[],"label_agreement":null},{"id":"W4401208160","doi":"10.2139/ssrn.4910890","title":"Idiothetic Representations are Modulated by Availability of Sensory Inputs and Task-Demands in Hippocampal-Septal Circuit","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Hippocampal formation; Task (project management); Computer science; Sensory system; Neuroscience; Cognitive psychology; Communication; Psychology; Engineering","score_opus":0.01859816032655783,"score_gpt":0.2627832402141875,"score_spread":0.24418507988762964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401208160","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949491,0.0021361066,0.00044906244,0.0010596613,0.0006131633,0.00035928117,0.00010430816,0.000048438193,0.00028085936],"genre_scores_gemma":[0.9949265,0.003538975,0.000005100485,0.00009386863,0.00008548192,0.00001355575,0.000013905712,0.000043291224,0.0012793124],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965544,0.0003725439,0.00070028857,0.0008065071,0.00041580293,0.0011504709],"domain_scores_gemma":[0.9987924,0.00018858448,0.000464552,0.00038458043,0.00007155845,0.00009829376],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0011475888,0.00030504787,0.00044574725,0.00033255655,0.00011698739,0.00012282692,0.00029382863,0.0002632303,0.000021096695],"category_scores_gemma":[0.00052639196,0.00028572034,0.0002359487,0.0003518504,0.00018531596,0.0001001605,0.00034612982,0.004411882,0.0000093222325],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018837015,0.0004668668,0.007390176,0.00057205,0.00020874146,0.000096003845,0.00084578263,0.0031650825,0.9645415,0.012327856,0.0003093861,0.009888184],"study_design_scores_gemma":[0.0008301028,0.00030736445,0.0042892136,0.00044318606,0.00012392022,0.00090588076,0.00028021514,0.015406589,0.008603841,0.96823,0.000052442,0.000527261],"about_ca_topic_score_codex":0.00009281482,"about_ca_topic_score_gemma":0.00025882735,"teacher_disagreement_score":0.9559377,"about_ca_system_score_codex":0.0007720301,"about_ca_system_score_gemma":0.0008720086,"threshold_uncertainty_score":0.99995947},"labels":[],"label_agreement":null},{"id":"W4401289136","doi":"10.1038/s42003-024-06642-3","title":"Dynamic mechanisms that couple the brain and breathing to the external environment","year":2024,"lang":"en","type":"review","venue":"Communications Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Carleton University; Queen's University; Royal Ottawa Mental Health Centre","funders":"Japan Atomic Energy Agency; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; European Commission","keywords":"Breathing; Neuroscience; Computer science; Medicine; Psychology; Anesthesia","score_opus":0.10101480956029536,"score_gpt":0.35447892177245655,"score_spread":0.2534641122121612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401289136","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000012759005,0.97946036,0.0039097155,0.014994377,0.00038512217,0.0008693516,0.00012269158,0.00004509254,0.00020053735],"genre_scores_gemma":[0.001131916,0.99521244,0.00041188096,0.0018655508,0.000022051696,0.00033912703,0.000045894918,0.000028500253,0.00094266277],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99836254,0.00071971636,0.0002512657,0.00039645386,0.000078489385,0.00019151607],"domain_scores_gemma":[0.9964211,0.0014913568,0.00013397362,0.0019070078,0.000005182124,0.0000413724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048147672,0.00022401089,0.0003336193,0.000080100355,0.0006125732,0.0001175317,0.0018276958,0.00013087709,0.000017130078],"category_scores_gemma":[0.00013010691,0.00010730734,0.0001371599,0.00017862805,0.0003019315,0.000028741328,0.00185767,0.00062355073,0.00024385065],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000011680994,0.000019740828,3.170415e-7,0.00018351844,0.00001934383,0.0000017791643,0.00011316913,0.0000027619024,0.00078905537,0.07946847,0.00038050432,0.9190202],"study_design_scores_gemma":[0.000020641099,0.000041554642,0.000001547312,0.0003827928,0.00013008587,0.00023168119,0.00001814349,0.0031787548,0.0000028869308,0.0071956487,0.98867095,0.00012530755],"about_ca_topic_score_codex":0.000017258115,"about_ca_topic_score_gemma":0.00003452902,"teacher_disagreement_score":0.9882904,"about_ca_system_score_codex":0.00007742681,"about_ca_system_score_gemma":0.000031140724,"threshold_uncertainty_score":0.47114795},"labels":[],"label_agreement":null},{"id":"W4401321974","doi":"10.1038/s42003-024-06613-8","title":"Critical dynamics in spontaneous EEG predict anesthetic-induced loss of consciousness and perturbational complexity","year":2024,"lang":"en","type":"article","venue":"Communications Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute; Artificial Intelligence in Medicine (Canada); McGill University; Université Laval; Université de Montréal; McGill University Health Centre; Montreal General Hospital","funders":"National Institute of Neurological Disorders and Stroke; Fonds de recherche du Québec – Nature et technologies; Canadian Institutes of Health Research; Fonds de Recherche du Québec - Santé; Fonds De La Recherche Scientifique - FNRS; Fondazione Regionale per la Ricerca Biomedica; Natural Sciences and Engineering Research Council of Canada; Institut de Valorisation des Données; McGill University; Regione Lombardia; Fondazione Europea Ricerca Biomedica; Canada Excellence Research Chairs, Government of Canada; Canada First Research Excellence Fund; Canada Research Chairs","keywords":"Electroencephalography; Consciousness; Anesthetic; Dynamics (music); Neuroscience; Psychology; Anesthesia; Medicine","score_opus":0.058942585493719044,"score_gpt":0.3277411141090525,"score_spread":0.26879852861533343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401321974","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98761815,0.00030060927,0.00040007534,0.009255728,0.00022676306,0.00016852608,0.00014659083,0.000060306844,0.0018232717],"genre_scores_gemma":[0.9991282,0.00020588365,0.0003322207,0.00019564349,0.000008832419,0.000018117742,0.00006581643,0.000007974649,0.000037270325],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990439,0.0002934423,0.00023800867,0.000233563,0.000057185174,0.00013393162],"domain_scores_gemma":[0.9975544,0.0018535104,0.000030326446,0.00047636364,0.00004914309,0.000036257985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016841751,0.000084927124,0.00014420804,0.00012978443,0.000113457645,0.000027153523,0.000361164,0.000087590895,0.000019701156],"category_scores_gemma":[0.0006071745,0.00007688692,0.00002888926,0.0002392174,0.0011540409,0.00006838043,0.00021862431,0.00023148127,0.000006123466],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018651297,0.000096886746,0.003101668,0.000028677972,0.0000024275864,0.000030030395,0.00007724974,0.00000391926,0.028826712,0.9648778,0.000009941384,0.002926046],"study_design_scores_gemma":[0.00031655,0.00033261668,0.015340975,0.00009036492,0.000018943592,0.0027780584,0.0001315052,0.820278,0.0007510197,0.15787102,0.0018475301,0.00024339512],"about_ca_topic_score_codex":0.000051952484,"about_ca_topic_score_gemma":0.0003972602,"teacher_disagreement_score":0.8202741,"about_ca_system_score_codex":0.00006764422,"about_ca_system_score_gemma":0.000052779094,"threshold_uncertainty_score":0.42521116},"labels":[],"label_agreement":null},{"id":"W4401328231","doi":"10.1371/journal.pcbi.1011431","title":"Attentional selection and communication through coherence: Scope and limitations","year":2024,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Coherence (philosophical gambling strategy); Scope (computer science); Selection (genetic algorithm); Computer science; Cognitive psychology; Psychology; Data science; Cognitive science; Artificial intelligence; Mathematics; Statistics","score_opus":0.08422949403857763,"score_gpt":0.30542131154622665,"score_spread":0.22119181750764902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401328231","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97510785,0.000841833,0.015632536,0.0050662905,0.00024784825,0.00026465542,0.000045890254,0.0001842087,0.0026088948],"genre_scores_gemma":[0.99581647,0.0003531626,0.0029739493,0.00054316025,0.00004130459,0.00002600997,0.000105549465,0.000007498212,0.00013288003],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99927944,0.000121396544,0.00013683854,0.0002874396,0.00008079069,0.000094093295],"domain_scores_gemma":[0.99864894,0.0011945685,0.000033082695,0.000046078087,0.00005101058,0.000026331967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000066244174,0.00007814214,0.000073887466,0.000069673246,0.0002313542,0.00009014013,0.000050993036,0.000051103212,0.000026950014],"category_scores_gemma":[0.00016835054,0.000070792856,0.000016931572,0.00019310441,0.00015564992,0.0002117422,0.000051104842,0.00012358298,0.000030872692],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018713592,0.000051533472,0.0009585335,0.000042428408,0.000022343938,0.0000015989589,0.00020606772,0.0012809482,0.15492839,0.8292494,0.00050353556,0.012736548],"study_design_scores_gemma":[0.00028776852,0.00023345237,0.01292544,0.00006339727,0.00002668095,0.0001530323,0.000032414555,0.46758226,0.002231079,0.5113081,0.0049526743,0.00020372761],"about_ca_topic_score_codex":0.000006922959,"about_ca_topic_score_gemma":0.000010252108,"teacher_disagreement_score":0.46630132,"about_ca_system_score_codex":0.000019246796,"about_ca_system_score_gemma":0.00003162633,"threshold_uncertainty_score":0.2886849},"labels":[],"label_agreement":null},{"id":"W4401364655","doi":"10.1101/2024.08.01.606216","title":"A Bayesian Model-Selection Approach for Determining the Number of Spectral Peaks in Neural Power Spectra","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Canada First Research Excellence Fund; Health Canada; National Institutes of Health; Fondation Brain Canada; McGill University","keywords":"Magnetoencephalography; Robustness (evolution); Neurophysiology; Computer science; Selection (genetic algorithm); Aperiodic graph; Spectrogram; Model selection; Bayesian information criterion; Artificial intelligence; Sensitivity (control systems); Bayesian probability; Machine learning; Electroencephalography; Pattern recognition (psychology); Mathematics; Psychology; Neuroscience","score_opus":0.020929966063002105,"score_gpt":0.2447585963084663,"score_spread":0.2238286302454642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401364655","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9796592,0.00004449827,0.017052751,0.00023797495,0.0011460762,0.0013540323,0.00015970592,0.0002163037,0.0001294706],"genre_scores_gemma":[0.9946482,0.000017007329,0.004478967,0.00019737217,0.00024196948,0.0002637327,2.9955842e-7,0.00013311204,0.000019338493],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971261,0.00013629081,0.00058843277,0.0011910017,0.00037565932,0.00058253313],"domain_scores_gemma":[0.99869317,0.00014000571,0.0003151792,0.00062036223,0.0001307825,0.0001004782],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00048170693,0.00047812946,0.00046220364,0.00025655565,0.0001447666,0.0002455337,0.00054701086,0.00032518536,0.0000134222455],"category_scores_gemma":[0.00028037274,0.0004034865,0.00027168772,0.0006971758,0.00013201231,0.00013672239,0.0003457927,0.001142722,0.000006107],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013047177,0.00026314985,0.004187818,0.0005627771,0.00003101335,0.000015600579,0.000043613483,0.014257763,0.9716305,0.0087549705,0.00011544394,0.000006870421],"study_design_scores_gemma":[0.0003752989,0.000070132846,0.008235565,0.00010910103,0.000060936436,1.3999937e-7,0.0000025799159,0.87335527,0.11713187,0.00013877616,0.000038179267,0.00048215233],"about_ca_topic_score_codex":0.000017487835,"about_ca_topic_score_gemma":0.0000039232855,"teacher_disagreement_score":0.8590975,"about_ca_system_score_codex":0.00023441938,"about_ca_system_score_gemma":0.00025545683,"threshold_uncertainty_score":0.9998417},"labels":[],"label_agreement":null},{"id":"W4401390246","doi":"10.1101/2024.08.05.604527","title":"Formation of brain-wide neural geometry during visual item recognition in monkeys","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Population; Neuroscience; Artificial neural network; Computer science; Artificial intelligence; Dynamics (music); Pattern recognition (psychology); Biology; Psychology","score_opus":0.020274301048902495,"score_gpt":0.23464607676520235,"score_spread":0.21437177571629987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401390246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99609697,0.00010935432,0.0001424458,0.00057975535,0.0018490877,0.0006903034,0.00020243478,0.00031620698,0.000013434091],"genre_scores_gemma":[0.9989165,0.000108165455,0.000120810335,0.0004095254,0.00022342605,0.00010851703,9.969582e-7,0.00010361564,0.000008427593],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9969489,0.00021157396,0.00083776785,0.0010032967,0.0005008745,0.0004975781],"domain_scores_gemma":[0.9982006,0.00049272017,0.0004869653,0.00051865313,0.00016685024,0.00013420274],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00037840463,0.00045798364,0.00047775125,0.0010520382,0.00010414088,0.00021361806,0.0003464611,0.0004002572,0.00002402656],"category_scores_gemma":[0.0019357215,0.0004966621,0.00018724699,0.0012962698,0.00008808654,0.00039895397,0.0006365937,0.0011055005,0.00007863368],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058086538,0.00010101969,0.0011708214,0.0012335449,0.000009069728,0.00008963542,0.000012639229,0.0002720419,0.9968606,0.00010646767,0.00006850388,0.00001756363],"study_design_scores_gemma":[0.00041218495,0.00007461749,0.035204325,0.00071530335,0.000034273096,1.1562742e-7,0.000003816388,0.032196537,0.9307067,0.000041392665,0.00007900104,0.0005317749],"about_ca_topic_score_codex":0.000036076566,"about_ca_topic_score_gemma":0.0000049705823,"teacher_disagreement_score":0.06615395,"about_ca_system_score_codex":0.00032836053,"about_ca_system_score_gemma":0.00012794048,"threshold_uncertainty_score":0.9997485},"labels":[],"label_agreement":null},{"id":"W4401409469","doi":"10.1101/2024.08.07.606541","title":"Stochastic Wiring of Cell Types Enhances Fitness by Generating Phenotypic Variability","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research; McGill University; Mila - Quebec Artificial Intelligence Institute","funders":"","keywords":"Generalization; Artificial neural network; Process (computing); Biological neural network; Stochastic process; Computer science; Variable (mathematics); Feature (linguistics); Population; Probability distribution; Bayesian probability; Artificial intelligence; Biology; Machine learning; Mathematics; Statistics","score_opus":0.013488798999453308,"score_gpt":0.21900077700666515,"score_spread":0.20551197800721183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401409469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98782814,0.0005987777,0.007248265,0.00007508029,0.0029192844,0.000528995,0.00046084265,0.00030963396,0.00003098219],"genre_scores_gemma":[0.9983006,0.00006910884,0.0009701856,0.00010754879,0.00033684404,0.00009303532,3.250406e-7,0.00010137612,0.000020937578],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99690056,0.00022900419,0.0006184972,0.0013631447,0.0004376191,0.0004511808],"domain_scores_gemma":[0.9980438,0.00032529008,0.00043651485,0.00086258474,0.0001900499,0.0001417615],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006285583,0.0004853058,0.00052287703,0.0001644145,0.00016594745,0.00021976077,0.00053370773,0.00032498364,0.00005022049],"category_scores_gemma":[0.0006824996,0.00048095948,0.00015063645,0.00053096685,0.00016952089,0.0001280806,0.0007410039,0.0008737797,0.000057390203],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000152996,0.00010073674,0.000046531684,0.00090281904,0.0000168863,0.0000066230946,0.000007591193,0.0021606574,0.9959346,0.00072609365,0.000077681565,0.0000044829867],"study_design_scores_gemma":[0.0001309276,0.000043092063,0.00024533484,0.00028771846,0.00008002685,1.098491e-8,9.257098e-7,0.03609166,0.9624948,0.000050020968,0.00009929116,0.00047619772],"about_ca_topic_score_codex":0.00002663025,"about_ca_topic_score_gemma":0.0000010127713,"teacher_disagreement_score":0.033931002,"about_ca_system_score_codex":0.00015766502,"about_ca_system_score_gemma":0.00030216214,"threshold_uncertainty_score":0.9997642},"labels":[],"label_agreement":null},{"id":"W4401413184","doi":"10.52202/079017-2559","title":"Towards a \"Universal Translator\" for Neural Dynamics at Single-Cell, Single-Spike Resolution","year":2024,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Spike (software development); Dynamics (music); Computer science; Resolution (logic); Artificial intelligence; Pattern recognition (psychology); Physics; Acoustics","score_opus":0.044247361794192835,"score_gpt":0.2460807198922667,"score_spread":0.20183335809807387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401413184","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89708877,0.00015326162,0.06120437,0.0071570855,0.0044742585,0.0009156926,0.00025833969,0.001066323,0.027681882],"genre_scores_gemma":[0.9832187,0.000011363252,0.00053445273,0.0006281953,0.0001447688,0.000015208173,0.000038179074,0.000049224076,0.015359862],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99842894,0.000049041282,0.00022603656,0.000625528,0.00026811418,0.00040235306],"domain_scores_gemma":[0.9994083,0.00021622228,0.00003918031,0.00019874926,0.000033066135,0.000104490224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010741894,0.0002082571,0.00015076855,0.00014883673,0.00023714548,0.00019383199,0.00018032597,0.000113652706,0.00008706248],"category_scores_gemma":[0.00006290122,0.00018426936,0.0002025095,0.00036670224,0.00009415052,0.00037388064,0.000059724345,0.00015623,0.000044515367],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017957517,0.00013389676,0.000008553057,0.00010293952,0.0000044664434,0.00004050131,0.00013099292,0.00057955075,0.94710124,0.020984659,0.002524852,0.028208802],"study_design_scores_gemma":[0.00045312388,0.00068115594,0.000015384334,0.000021685959,0.000032429587,0.00005767364,0.00004370064,0.8906152,0.08068157,0.0012157037,0.02590052,0.0002818005],"about_ca_topic_score_codex":0.000025338755,"about_ca_topic_score_gemma":0.00017192832,"teacher_disagreement_score":0.8900357,"about_ca_system_score_codex":0.00042128869,"about_ca_system_score_gemma":0.000037656213,"threshold_uncertainty_score":0.7514286},"labels":[],"label_agreement":null},{"id":"W4401416190","doi":"10.1101/2024.08.06.606687","title":"Local lateral connectivity is sufficient for replicating cortex-like topographical organization in deep neural networks","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; McGill University","funders":"","keywords":"Visual cortex; Neuroscience; Cortex (anatomy); Modular design; Sensory system; Computer science; Robustness (evolution); Deep learning; Artificial intelligence; Psychology; Cognitive science; Biology","score_opus":0.013110958215064517,"score_gpt":0.2250182439751953,"score_spread":0.21190728576013076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401416190","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9653274,0.00015910994,0.028887277,0.00064580387,0.0030925102,0.0012623111,0.00013540681,0.0004876121,0.0000025816673],"genre_scores_gemma":[0.9977054,0.000046864447,0.00021906277,0.0013645277,0.00029716262,0.00020250879,0.0000013302879,0.00015907268,0.0000040891023],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99620694,0.00017874918,0.0006590052,0.0019135257,0.00035542712,0.0006863746],"domain_scores_gemma":[0.9979511,0.0002942779,0.0003047566,0.0009067064,0.0003481415,0.00019503765],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005234624,0.0005313569,0.0005061304,0.00035939759,0.0002384205,0.0004305344,0.00046899365,0.00056707964,0.000020861416],"category_scores_gemma":[0.00063243404,0.00055182626,0.0001711801,0.0019275432,0.00017749351,0.00012650166,0.00072400796,0.0012622203,0.0000125621755],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013100842,0.0004238614,0.015220331,0.0006085377,0.00003679502,0.00014010278,0.000045737135,0.014458844,0.9609101,0.007753897,0.00021268846,0.00005812752],"study_design_scores_gemma":[0.00041146443,0.0001247468,0.037129298,0.00015641356,0.000057631147,1.7243941e-7,0.0000026075643,0.9012905,0.059895463,0.000034433087,0.00019981591,0.00069746294],"about_ca_topic_score_codex":0.00004961718,"about_ca_topic_score_gemma":0.000015598342,"teacher_disagreement_score":0.9010146,"about_ca_system_score_codex":0.00031053254,"about_ca_system_score_gemma":0.00014640752,"threshold_uncertainty_score":0.99969333},"labels":[],"label_agreement":null},{"id":"W4401501720","doi":"10.1101/2024.08.10.607449","title":"Neural Mechanism Underlying Successful Classification of Amnestic Mild Cognitive Impairment Using Multi-Sensory-Evoked Potentials","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Sinai Hospital; Public Health Ontario; University of Toronto; Baycrest Hospital","funders":"Canadian Institutes of Health Research; Morris Kerzner Memorial Fund; Natural Sciences and Engineering Research Council of Canada; Alzheimer Society","keywords":"Stimulus modality; Sensory system; Electroencephalography; Cognition; Neuroscience; Psychology; Cognitive impairment; Somatosensory evoked potential; Somatosensory system; Audiology; Scalp; Modality (human–computer interaction); Modalities; Artificial intelligence; Medicine; Computer science","score_opus":0.08540670921913508,"score_gpt":0.2971569763810667,"score_spread":0.21175026716193163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401501720","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9850743,0.00018473544,0.008575648,0.00017236947,0.0035083957,0.0015143901,0.0005447014,0.00042203924,0.0000034429493],"genre_scores_gemma":[0.99806905,0.00008350345,0.0011624154,0.0001786707,0.00019625314,0.00011557475,8.3185756e-7,0.00018162647,0.000012055377],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9956227,0.00042822503,0.0009172222,0.001687569,0.00070234155,0.0006419666],"domain_scores_gemma":[0.9973476,0.00027604948,0.00088782044,0.0007920167,0.00046112936,0.0002354124],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005300928,0.00070105895,0.0006977147,0.00058834377,0.0002921018,0.00037295808,0.0005131755,0.0004997723,0.000025954801],"category_scores_gemma":[0.00054209225,0.00072550133,0.0003109206,0.0007848374,0.00022801066,0.00021261525,0.00073700276,0.0010409135,0.000042858148],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006256527,0.00021387795,0.00037459732,0.00074436323,0.00005995445,0.00008412272,0.000014667839,0.00045094232,0.99593186,0.0020558722,0.0000038141234,0.0000033386211],"study_design_scores_gemma":[0.0006530683,0.00010958239,0.023940278,0.00097335957,0.00037592702,2.1366724e-7,0.000017047514,0.268627,0.70445085,0.00009361853,0.0000047233493,0.00075437484],"about_ca_topic_score_codex":0.00010538315,"about_ca_topic_score_gemma":0.0000040221717,"teacher_disagreement_score":0.29148105,"about_ca_system_score_codex":0.00037345782,"about_ca_system_score_gemma":0.00039598573,"threshold_uncertainty_score":0.9995196},"labels":[],"label_agreement":null},{"id":"W4401503243","doi":"10.1101/2024.08.12.607618","title":"“Superiority of Rhythmic Auditory Signals over Electrical Stimulation to Entrain Behavior”","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Entrainment (biomusicology); Stimulus (psychology); Rhythm; Transcranial alternating current stimulation; Sensory system; Neuroscience; Psychology; Auditory perception; Auditory system; Perception; Stimulation; Auditory cortex; Audiology; Communication; Physics; Cognitive psychology; Acoustics; Medicine; Transcranial magnetic stimulation","score_opus":0.01885430735257372,"score_gpt":0.25064800917883134,"score_spread":0.23179370182625764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401503243","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99322456,0.00010943444,0.0006057509,0.00014817315,0.0038800833,0.0012658162,0.00039955633,0.00035713203,0.000009472425],"genre_scores_gemma":[0.99796927,0.000045018296,0.00038990483,0.00038260262,0.00085146044,0.000227508,2.8962438e-7,0.00011804322,0.00001590831],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9964332,0.00022598715,0.0006814425,0.0013723776,0.00073542196,0.0005515836],"domain_scores_gemma":[0.9981625,0.00019434304,0.00028648623,0.0008586164,0.00021115004,0.00028687177],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00044097682,0.0005152667,0.00057030295,0.00049857615,0.00012105154,0.00021038056,0.00043718272,0.00048528382,0.00009856095],"category_scores_gemma":[0.0006273546,0.0005434427,0.00024887137,0.00096728915,0.0001023749,0.00012664167,0.0006279474,0.0010606399,0.00013020443],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004393681,0.00015068238,0.0015861178,0.00018540355,0.000016852155,0.00009400757,0.000007671868,0.0005387665,0.996206,0.00083684834,0.00032569392,0.000008010368],"study_design_scores_gemma":[0.0002841727,0.00020598693,0.15782225,0.0002792003,0.00015287902,6.976243e-8,3.639218e-7,0.010596597,0.8281755,0.000029847708,0.0016846575,0.00076849334],"about_ca_topic_score_codex":0.000028095776,"about_ca_topic_score_gemma":0.0000015921198,"teacher_disagreement_score":0.16803053,"about_ca_system_score_codex":0.0004096951,"about_ca_system_score_gemma":0.000450832,"threshold_uncertainty_score":0.99970174},"labels":[],"label_agreement":null},{"id":"W4401507363","doi":"10.1523/eneuro.0284-24.2024","title":"Adolescent Thalamoprefrontal Inhibition Leads to Changes in Intrinsic Prefrontal Network Connectivity","year":2024,"lang":"en","type":"article","venue":"eNeuro","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Columbia College","funders":"National Institute of Mental Health","keywords":"Prefrontal cortex; Neuroscience; Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Thalamus; Nucleus accumbens; Psychology; Chemistry; Cognition; Central nervous system","score_opus":0.02259256680274093,"score_gpt":0.24850853636774042,"score_spread":0.22591596956499949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401507363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935299,0.00005312401,0.0002148548,0.0018946549,0.0023619155,0.00037921773,0.000017361923,0.00020240241,0.0013465468],"genre_scores_gemma":[0.9966259,0.000032001997,0.000017679504,0.0023569984,0.0004936604,0.000042374086,0.000005556573,0.000028806493,0.00039703818],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998574,0.00013563193,0.00014507855,0.000587322,0.00021199028,0.0003459863],"domain_scores_gemma":[0.99957037,0.00014574082,0.000023613968,0.00016604562,0.000008499835,0.000085727304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001470194,0.000162302,0.00013970559,0.00014225571,0.00007509629,0.00010532035,0.00009382022,0.00005635726,0.00004142875],"category_scores_gemma":[0.000136131,0.00015171563,0.000047772755,0.0004864083,0.000033299624,0.00018145132,0.00013091517,0.00029547224,0.00014159246],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012046206,0.00012260636,0.0029485507,0.00006303877,0.0000017278361,0.00043262148,0.00019264797,0.0013060833,0.960361,0.004167686,0.0028806964,0.027402865],"study_design_scores_gemma":[0.0009119379,0.0014118142,0.28624764,0.00070809457,0.000021938398,0.00031724942,0.000036284626,0.018934367,0.65521693,0.0033507105,0.031831153,0.0010118636],"about_ca_topic_score_codex":0.000021657419,"about_ca_topic_score_gemma":0.0008059885,"teacher_disagreement_score":0.30514407,"about_ca_system_score_codex":0.00012689043,"about_ca_system_score_gemma":0.000021814845,"threshold_uncertainty_score":0.61867845},"labels":[],"label_agreement":null},{"id":"W4401575815","doi":"10.7554/elife.88608.2.sa4","title":"eLife Assessment: Differentiation and Integration of Competing Memories: A Neural Network Model","year":2024,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Competitor analysis; Set (abstract data type); Mechanism (biology); Computer science; Competitive learning; Dynamics (music); Cognitive science; Unsupervised learning; Neural correlates of consciousness; Artificial neural network; Artificial intelligence; Psychology; Neuroscience; Cognitive psychology; Cognition","score_opus":0.05183058235397741,"score_gpt":0.32355584642274354,"score_spread":0.2717252640687661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401575815","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10711264,0.047871333,0.27092323,0.2986702,0.098009795,0.015540731,0.0042243768,0.003002733,0.15464497],"genre_scores_gemma":[0.73739225,0.022348428,0.0030594443,0.015155784,0.0016606916,0.0001808218,0.0021358808,0.00018781846,0.21787886],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99803513,0.00013570936,0.0005455902,0.000577432,0.00049439707,0.00021176564],"domain_scores_gemma":[0.9990045,0.0002648771,0.00033350274,0.00023167902,0.00011180201,0.000053677297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030130395,0.00029118315,0.0004875167,0.000098622484,0.000107008826,0.00013022016,0.00015687861,0.00010953523,0.000063612606],"category_scores_gemma":[0.00022641847,0.00021970304,0.00011607575,0.0003116887,0.000060999104,0.00014721851,0.00017267562,0.00050479325,0.000004013872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049705028,0.00015350856,0.00003581089,0.011436701,0.00005574575,0.000010653714,0.00011801791,0.012180556,0.05879183,0.044729173,0.8383365,0.034101766],"study_design_scores_gemma":[0.00009703041,0.000110593304,0.000037737023,0.0019969177,0.00014105388,0.0000086849,0.0000069844905,0.98622626,0.0003296133,0.0020137758,0.0088145565,0.00021678967],"about_ca_topic_score_codex":0.000027713102,"about_ca_topic_score_gemma":0.00008659335,"teacher_disagreement_score":0.9740457,"about_ca_system_score_codex":0.00004873451,"about_ca_system_score_gemma":0.00006382124,"threshold_uncertainty_score":0.89592296},"labels":[],"label_agreement":null},{"id":"W4401600518","doi":"10.21105/joss.06877","title":"PyNeuroTrace - Python code for neural activity timeseries","year":2024,"lang":"en","type":"article","venue":"The Journal of Open Source Software","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Computer science; Python (programming language); Artificial neural network; Signal processing; Biological neural network; Artificial intelligence; Pattern recognition (psychology); Biological system; Machine learning; Biology; Digital signal processing; Computer hardware","score_opus":0.059709342514553364,"score_gpt":0.328706519138111,"score_spread":0.26899717662355765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401600518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97060424,0.00015165725,0.020891132,0.006319347,0.0012488338,0.0005040963,0.00006623683,0.000087991604,0.00012649134],"genre_scores_gemma":[0.9937074,0.000049619677,0.000314907,0.0008570039,0.00025706924,0.0000072056137,6.7869433e-7,0.000050003215,0.0047561186],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988303,0.00022523607,0.0002485894,0.0001859285,0.00028723758,0.0002226943],"domain_scores_gemma":[0.9979973,0.0014363913,0.0002024381,0.00021747212,0.00007132957,0.00007509295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007669041,0.00014413975,0.00020708701,0.00006818497,0.00033269697,0.0005711751,0.00091291877,0.000041471645,0.000052005144],"category_scores_gemma":[0.00091430737,0.00008656901,0.00015045972,0.0002508589,0.00010853661,0.00090524874,0.00024155885,0.0004129881,0.00001655671],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030286293,0.00019356499,0.00024653412,0.00023401724,0.00006572497,0.00016658536,0.0026766388,0.0122388275,0.74648213,0.0008226908,0.03963324,0.1942114],"study_design_scores_gemma":[0.0021365893,0.003668261,0.0032220178,0.00053287833,0.0004127494,0.005702545,0.0007077471,0.100569256,0.26950943,0.012519555,0.60003555,0.000983428],"about_ca_topic_score_codex":0.000010188154,"about_ca_topic_score_gemma":0.000005857686,"teacher_disagreement_score":0.5604023,"about_ca_system_score_codex":0.000035149533,"about_ca_system_score_gemma":0.00007177842,"threshold_uncertainty_score":0.5507854},"labels":[],"label_agreement":null},{"id":"W4401607495","doi":"10.1523/jneurosci.0455-24.2024","title":"Heterogeneity in Slow Synaptic Transmission Diversifies Purkinje Cell Timing","year":2024,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; McGill University Health Centre; Montreal General Hospital","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec; Canada First Research Excellence Fund; Universities Space Research Association; Canadian Institutes of Health Research; McGill University Health Centre; McGill University; Canada Foundation for Innovation; Institut de recherche, Centre universitaire de santé McGill","keywords":"Purkinje cell; Neuroscience; Transmission (telecommunications); Computer science; Biology; Cerebellum; Telecommunications","score_opus":0.05006097506702655,"score_gpt":0.27629730738638236,"score_spread":0.2262363323193558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401607495","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940857,0.00016513077,0.0023905472,0.00090051803,0.0020498675,0.000073375166,0.0000026859348,0.000025398327,0.00030676834],"genre_scores_gemma":[0.99875563,0.00031146305,0.000088592045,0.00055844034,0.000056469842,5.773456e-7,5.59006e-8,0.000009965649,0.00021878559],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985105,0.00010785896,0.00033257133,0.0003182163,0.00047948948,0.00025140488],"domain_scores_gemma":[0.9994307,0.0002142808,0.00011356339,0.00010587999,0.000023827872,0.00011170814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034574507,0.00011849456,0.00014998675,0.00032815212,0.00012411077,0.00019787616,0.0003849276,0.000038759328,0.000008516318],"category_scores_gemma":[0.0002027519,0.00008992871,0.00012028242,0.00070221594,0.000117368334,0.00072649895,0.00005706432,0.00037058486,0.000009278388],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023208195,0.000050832452,0.00016564416,0.000033801654,3.4456264e-7,0.0007192319,0.00010005183,0.0011912422,0.99289787,0.00008372968,0.00008713332,0.004646895],"study_design_scores_gemma":[0.0005445635,0.0011304591,0.010902661,0.00036696927,0.00002656857,0.0018006491,0.000055557106,0.25159422,0.718297,0.0009630927,0.0139523735,0.00036587886],"about_ca_topic_score_codex":0.0000026603416,"about_ca_topic_score_gemma":8.442236e-7,"teacher_disagreement_score":0.27460086,"about_ca_system_score_codex":0.00005459403,"about_ca_system_score_gemma":0.0000674681,"threshold_uncertainty_score":0.36671865},"labels":[],"label_agreement":null},{"id":"W4401613385","doi":"10.1038/s41467-024-51399-2","title":"Existence of multiple transitions of the critical state due to anesthetics","year":2024,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hotchkiss Brain Institute; Centre for Addiction and Mental Health; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Killam Trusts","keywords":"Wakefulness; Neuroscience; Anesthetic; Ketamine; Isoflurane; Amnesia; Pentobarbital; Consciousness; Anesthesia; Medicine; Psychology; Cognitive psychology; Electroencephalography","score_opus":0.03896356132323346,"score_gpt":0.3234841651594684,"score_spread":0.2845206038362349,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401613385","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8701093,0.0017355976,0.0039680847,0.11618669,0.0013856074,0.0008742822,0.0009612139,0.00017554249,0.004603654],"genre_scores_gemma":[0.9975786,0.000059088,0.001596493,0.00062499224,0.0000068413306,0.000013757489,0.0000034021612,0.000008165192,0.00010866921],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99934095,0.0001279157,0.00016929592,0.00012513367,0.00015262277,0.000084078354],"domain_scores_gemma":[0.99796987,0.0009781165,0.0000240279,0.0009096023,0.00008667555,0.00003171609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009594504,0.000056280103,0.0000794167,0.00005664562,0.00014486993,0.000019829899,0.0006764054,0.000057493828,0.0000051778165],"category_scores_gemma":[0.0008031353,0.000040717736,0.000073230505,0.0005961279,0.00027954383,0.00006223025,0.00013071949,0.00043179077,0.0000055057153],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000100505395,0.0001731005,0.000102094054,0.000059138325,0.000003935407,0.0000029866915,0.00091997895,0.00014310218,0.5380683,0.45763412,0.00054658146,0.0023366362],"study_design_scores_gemma":[0.000454311,0.0004098445,0.031344578,0.00095645554,0.00015160056,0.0003977922,0.0003137836,0.17196144,0.57178104,0.06083468,0.1607492,0.00064525614],"about_ca_topic_score_codex":0.000007962061,"about_ca_topic_score_gemma":0.00012141271,"teacher_disagreement_score":0.39679945,"about_ca_system_score_codex":0.0000131379875,"about_ca_system_score_gemma":0.00003738508,"threshold_uncertainty_score":0.18759401},"labels":[],"label_agreement":null},{"id":"W4401671178","doi":"10.1016/j.neuroscience.2024.08.017","title":"Towards discovery and implementation of neurophysiologic biomarkers of Alzheimer’s disease using entropy methods","year":2024,"lang":"en","type":"review","venue":"Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vale (Canada); University of Toronto","funders":"","keywords":"Magnetoencephalography; Neuroimaging; Disease; Neurophysiology; Neuroscience; Electroencephalography; Alzheimer's disease; Psychology; Brain function; Medicine; Pathology","score_opus":0.1617509500236288,"score_gpt":0.45300099116187564,"score_spread":0.2912500411382468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401671178","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011624153,0.9816486,0.0012771158,0.00004614229,0.0033289958,0.0013620391,0.0006180167,0.00006438449,0.000030543037],"genre_scores_gemma":[0.008739232,0.9905374,0.0004761689,0.00012312947,0.000039418297,0.000020437312,0.0000064614123,0.000039363716,0.000018410228],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99700457,0.00061116763,0.0006944855,0.0010085013,0.0003884218,0.00029288317],"domain_scores_gemma":[0.9986337,0.0002120884,0.0006229338,0.00038285274,0.000027035314,0.00012142695],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028493043,0.00036069966,0.0008222569,0.0003469457,0.000100720004,0.00010896839,0.00039890633,0.00006537402,0.000005499755],"category_scores_gemma":[0.00040687996,0.00025644293,0.0003405503,0.0011627835,0.0005635716,0.0003669568,0.00043183588,0.00020936623,0.0000011795679],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013066701,0.00004382543,0.0000075076323,0.004672911,0.000009693939,0.000033662218,0.000013911987,0.000012937984,0.3524298,0.0019962103,0.000016420196,0.64075005],"study_design_scores_gemma":[0.0025148315,0.007107024,0.009835483,0.03020954,0.03245848,0.0012281704,0.00023831878,0.11074642,0.17157145,0.015974067,0.6090063,0.009109915],"about_ca_topic_score_codex":0.00003146304,"about_ca_topic_score_gemma":3.0758358e-7,"teacher_disagreement_score":0.63164014,"about_ca_system_score_codex":0.000027740052,"about_ca_system_score_gemma":0.00029876834,"threshold_uncertainty_score":0.9999888},"labels":[],"label_agreement":null},{"id":"W4401793904","doi":"10.1523/jneurosci.2308-23.2024","title":"Aperiodic EEG Predicts Variability of Visual Temporal Processing","year":2024,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Tamkeen; York University; New York University Abu Dhabi","keywords":"Aperiodic graph; Sensory system; Electroencephalography; Stimulus (psychology); Perception; Psychology; Rhythm; Brain activity and meditation; Neuroscience; Visual perception; Audiology; Communication; Pattern recognition (psychology); Cognitive psychology; Mathematics; Physics; Medicine","score_opus":0.029119566741830555,"score_gpt":0.29862385353038456,"score_spread":0.269504286788554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401793904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99190557,0.00005560399,0.004548004,0.0005624638,0.0024288734,0.000095496755,0.000006805857,0.000037167705,0.00035999378],"genre_scores_gemma":[0.999164,0.000033147615,0.00011993967,0.00042100064,0.00011099224,9.736175e-7,1.0321915e-7,0.000011327771,0.0001385004],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99800444,0.00014915733,0.0005493712,0.00033747498,0.0007358656,0.0002237128],"domain_scores_gemma":[0.9990943,0.00024397572,0.0003134361,0.00012491834,0.00010081399,0.00012254143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083114277,0.00012261274,0.00020631793,0.00021330794,0.00013136509,0.00020826889,0.0003864625,0.000041577652,0.000011922027],"category_scores_gemma":[0.0017204119,0.00008942957,0.00012112508,0.00096928974,0.00036189693,0.0009097284,0.00007874353,0.00034468647,0.0000026971961],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031768235,0.00010969266,0.001043469,0.00009294786,4.9042274e-7,0.000117367716,0.0000831016,0.00014828186,0.9907441,0.00028953733,0.00007615786,0.007263085],"study_design_scores_gemma":[0.0007974719,0.0046150954,0.088005066,0.0008246801,0.00007421188,0.004121924,0.000069392605,0.62159735,0.25844702,0.0052827895,0.015592938,0.0005720537],"about_ca_topic_score_codex":0.0000017746414,"about_ca_topic_score_gemma":2.9785173e-7,"teacher_disagreement_score":0.73229706,"about_ca_system_score_codex":0.0000395215,"about_ca_system_score_gemma":0.00032057814,"threshold_uncertainty_score":0.3646832},"labels":[],"label_agreement":null},{"id":"W4401922129","doi":"10.1137/24m1631146","title":"Population Dynamics in Networks of Izhikevich Neurons with Global Delayed Coupling","year":2024,"lang":"en","type":"article","venue":"SIAM Journal on Applied Dynamical Systems","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Coupling (piping); Dynamics (music); Population; Statistical physics; Physics; Control theory (sociology); Computer science; Medicine; Artificial intelligence; Materials science","score_opus":0.011868670449416087,"score_gpt":0.24561783469114892,"score_spread":0.23374916424173284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401922129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9381179,0.000092687296,0.056834914,0.0002125941,0.0018854501,0.0005368114,0.0000423452,0.00011742613,0.002159858],"genre_scores_gemma":[0.99948657,0.00003977034,0.00006565489,0.00009128846,0.00019246362,0.000015510721,0.00002202805,0.000039985283,0.00004670781],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997677,0.00009337773,0.0007214518,0.00048046975,0.0006065532,0.00042112308],"domain_scores_gemma":[0.999066,0.00029165664,0.00024216037,0.00020359998,0.000035874156,0.00016071167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040695016,0.00026226637,0.00039938683,0.0001905603,0.0001270865,0.00026419555,0.00024035448,0.00015920993,0.0000061874434],"category_scores_gemma":[0.000044232005,0.0001957337,0.00009829848,0.0009971375,0.000064091575,0.00014551444,0.00004082057,0.0007667626,0.0000114623035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004539993,0.00010929497,0.0023422204,0.00008569911,0.000018113846,0.00018674944,0.000009461648,0.77182126,0.004788091,0.21674562,0.000016894415,0.003422606],"study_design_scores_gemma":[0.00043129985,0.00030740525,0.003958141,0.0002826119,0.000020633672,0.00041522697,0.000039511568,0.9934166,0.000015389955,0.0008667066,0.000043619548,0.00020282266],"about_ca_topic_score_codex":0.0000780896,"about_ca_topic_score_gemma":0.00015230745,"teacher_disagreement_score":0.22159538,"about_ca_system_score_codex":0.00081516255,"about_ca_system_score_gemma":0.000049111615,"threshold_uncertainty_score":0.79817885},"labels":[],"label_agreement":null},{"id":"W4402110618","doi":"10.1101/2024.08.30.610583","title":"Estimating the Excitatory-Inhibitory Balance from Electrocorticography Data using Physics-Informed Neural Networks","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Brain Institute; University of Calgary","funders":"","keywords":"Excitatory postsynaptic potential; Electrocorticography; Inhibitory postsynaptic potential; Artificial neural network; Balance (ability); Neuroscience; Computer science; Artificial intelligence; Psychology; Electroencephalography","score_opus":0.03324461763794219,"score_gpt":0.2541159324871439,"score_spread":0.22087131484920175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402110618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96769184,0.000989924,0.019468034,0.00024934713,0.00904478,0.001039242,0.0006789579,0.00082957046,0.000008333129],"genre_scores_gemma":[0.9924194,0.000073227384,0.002707696,0.0009989579,0.0034905535,0.00009746959,0.0000032579412,0.00020739266,0.0000019968668],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99522763,0.00026472076,0.00077316683,0.00209102,0.0007012778,0.0009422078],"domain_scores_gemma":[0.9954521,0.0005248182,0.0006837126,0.0029564006,0.00015524989,0.00022773487],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00046844286,0.0008028594,0.0005876356,0.00017355224,0.000579231,0.0010994837,0.0019694685,0.00038800706,0.000011354153],"category_scores_gemma":[0.0005833072,0.000677512,0.0002557368,0.0011297633,0.00031906832,0.00047459107,0.0027319475,0.0023256093,0.000031430227],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044649187,0.000079747064,0.0014230978,0.00028159036,0.00011309203,0.000114603754,0.000013722649,0.035206616,0.9615061,0.0004846245,0.00069818087,0.000033956858],"study_design_scores_gemma":[0.00020423488,0.000029229315,0.0019765135,0.0003990186,0.00019834407,8.216141e-8,0.0000013859728,0.96003914,0.036067706,0.0000829182,0.0002615053,0.0007399231],"about_ca_topic_score_codex":0.000090504436,"about_ca_topic_score_gemma":0.000004468001,"teacher_disagreement_score":0.9254384,"about_ca_system_score_codex":0.00025433477,"about_ca_system_score_gemma":0.0005223142,"threshold_uncertainty_score":0.99997604},"labels":[],"label_agreement":null},{"id":"W4402221041","doi":"10.1371/journal.pone.0308809","title":"A biophysical minimal model to investigate age-related changes in CA1 pyramidal cell electrical activity","year":2024,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México; Natural Sciences and Engineering Research Council of Canada","keywords":"Bursting; Neuroscience; Flexibility (engineering); Ion channel; Pyramidal cell; Computer science; Biological system; Computational model; Biophysics; Physics; Biology; Artificial intelligence; Hippocampus; Mathematics","score_opus":0.07018866976567498,"score_gpt":0.24627953836577693,"score_spread":0.17609086860010195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402221041","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944241,0.000009270051,0.000041935706,0.00416479,0.00007912274,0.0002944995,0.000020514299,0.00018250736,0.00078325364],"genre_scores_gemma":[0.9970117,0.000016951222,0.00016484321,0.00073541637,0.00006503488,0.00004567145,0.0000026726038,0.00002857528,0.0019291246],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998565,0.00006943512,0.00012949077,0.00055058714,0.00033067874,0.00035480777],"domain_scores_gemma":[0.99952114,0.00013812115,0.000022491893,0.00015463593,0.000012696138,0.00015092704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007826913,0.00015545862,0.0002008407,0.00021234009,0.00005097846,0.00009043409,0.00014444176,0.000090744536,0.000011288426],"category_scores_gemma":[0.0001621901,0.000143783,0.00004390562,0.00092357426,0.000074959615,0.00012907614,0.000089057125,0.0004168836,0.00013578593],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051301173,0.0006991356,0.000023983952,0.000048270696,0.0000051763427,0.00012598587,0.0001372109,0.00030273048,0.99653006,0.0013778629,0.00008296683,0.00061534083],"study_design_scores_gemma":[0.000092332484,0.00017083492,0.00024230371,0.000036777878,0.000012548662,0.0000013628242,7.0569473e-7,0.50857383,0.4899016,0.0008452489,0.000014224797,0.00010823558],"about_ca_topic_score_codex":0.00003312908,"about_ca_topic_score_gemma":0.00004861885,"teacher_disagreement_score":0.5082711,"about_ca_system_score_codex":0.00009002451,"about_ca_system_score_gemma":0.00004866747,"threshold_uncertainty_score":0.58633006},"labels":[],"label_agreement":null},{"id":"W4402278111","doi":"10.1101/2024.09.03.610998","title":"Spike frequency adaptation in primate lateral prefrontal cortex neurons results from interplay between intrinsic properties and circuit dynamics","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; London Health Sciences Centre; York University; Centre for Addiction and Mental Health; Western University; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Prefrontal cortex; Neuroscience; Spike (software development); Primate; Adaptation (eye); Dynamics (music); Psychology; Computer science; Physics; Acoustics; Cognition","score_opus":0.032488219875535726,"score_gpt":0.23170371247920446,"score_spread":0.19921549260366872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402278111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99311066,0.00019190121,0.00019619722,0.00032614754,0.0021451928,0.0010081322,0.0025784054,0.0004131128,0.000030263407],"genre_scores_gemma":[0.99883527,0.00016578485,0.00025751532,0.00016230885,0.00031250753,0.00010577925,0.0000059933705,0.00013899997,0.000015862413],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9960183,0.00024590918,0.00091447274,0.0018457052,0.000417412,0.0005582359],"domain_scores_gemma":[0.9983418,0.0001594964,0.00040511036,0.0007897215,0.00010729763,0.0001965944],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003296874,0.00063724135,0.00059944636,0.0004470234,0.00013807678,0.000584854,0.0004856028,0.0004459133,0.0000066360494],"category_scores_gemma":[0.00047459605,0.00062299997,0.000107309614,0.00045709024,0.00020092473,0.0003260673,0.0009541158,0.0014986999,0.000048084432],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013038222,0.00009001452,0.0075839125,0.00035637678,0.00004170619,0.00024889625,0.00014817306,0.00010026835,0.98971224,0.0014931423,0.00001434514,0.000080561396],"study_design_scores_gemma":[0.0016393601,0.00032876834,0.8029221,0.0022990063,0.00023160501,2.6353368e-7,0.000013764831,0.08278297,0.10720659,0.0005304892,0.00013235743,0.0019126945],"about_ca_topic_score_codex":0.000844914,"about_ca_topic_score_gemma":0.00018562113,"teacher_disagreement_score":0.88250566,"about_ca_system_score_codex":0.00057294057,"about_ca_system_score_gemma":0.00032505678,"threshold_uncertainty_score":0.9996221},"labels":[],"label_agreement":null},{"id":"W4402289073","doi":"10.1016/j.celrep.2024.114707","title":"Horizontal cortical connections shape intrinsic traveling waves into feature-selective motifs that regulate perceptual sensitivity","year":2024,"lang":"en","type":"article","venue":"Cell Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Eye Institute; Canadian Institutes of Health Research; Alliance de recherche numérique du Canada; Western University; National Alliance for Research on Schizophrenia and Depression; University of Utah; Research to Prevent Blindness; Canada First Research Excellence Fund; Brain and Behavior Research Foundation; National Institutes of Health; National Science Foundation","keywords":"Perception; Sensitivity (control systems); Feature (linguistics); Biology; Neuroscience; Traveling wave; Communication; Biological system; Psychology; Mathematics; Engineering","score_opus":0.019618076383898512,"score_gpt":0.24324459452852443,"score_spread":0.22362651814462592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402289073","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99171364,0.00006610684,0.0011831839,0.00048627498,0.0029830837,0.0002943301,0.000006776765,0.00034178505,0.002924797],"genre_scores_gemma":[0.99721205,0.00003219091,0.00009752242,0.00017092301,0.0002968458,0.000010996977,0.000014187067,0.000042113614,0.0021231808],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979106,0.00017039015,0.0002722288,0.0009257172,0.0003592615,0.00036181256],"domain_scores_gemma":[0.99897474,0.00044773598,0.000090018715,0.00027781026,0.000054800694,0.00015489377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033373066,0.00024243885,0.00023279843,0.00011680284,0.00039764482,0.000235942,0.00005199863,0.00015025509,0.00006840794],"category_scores_gemma":[0.00045922905,0.0002129587,0.00017498157,0.00041248553,0.0001785359,0.0002876093,0.00008263907,0.00063134957,0.000044008768],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028131655,0.00006944674,0.00031564917,0.00003877575,0.00000973667,0.00411467,0.00066495506,0.00008912418,0.9842099,0.00058349845,0.0007812289,0.009094907],"study_design_scores_gemma":[0.00020937216,0.00043806367,0.025852758,0.000107128726,0.00011398246,0.009423269,0.0005229192,0.12704824,0.827545,0.003392307,0.004616844,0.0007301613],"about_ca_topic_score_codex":0.000054925324,"about_ca_topic_score_gemma":0.000059731283,"teacher_disagreement_score":0.15666491,"about_ca_system_score_codex":0.00017225402,"about_ca_system_score_gemma":0.00010118523,"threshold_uncertainty_score":0.86842036},"labels":[],"label_agreement":null},{"id":"W4402310763","doi":"10.7554/elife.91605.3.sa0","title":"eLife assessment: Novel cyclic homogeneous oscillation detection method for high accuracy and specific characterization of neural dynamics","year":2024,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital","funders":"","keywords":"Homogeneous; Characterization (materials science); Oscillation (cell signaling); Dynamics (music); Computer science; Artificial neural network; Pattern recognition (psychology); Artificial intelligence; Biological system; Statistical physics; Physics; Chemistry; Materials science; Nanotechnology; Biology; Acoustics","score_opus":0.044758601714553,"score_gpt":0.3338824542261322,"score_spread":0.28912385251157924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402310763","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039707016,0.00095379545,0.90432155,0.022001268,0.019415693,0.005261871,0.0072880867,0.00039884512,0.0006518607],"genre_scores_gemma":[0.6211602,0.07437044,0.030341223,0.015309686,0.005725006,0.0016011153,0.031137196,0.0011084195,0.21924672],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99715143,0.0001425111,0.0008142248,0.001055581,0.0005405268,0.0002957005],"domain_scores_gemma":[0.9976435,0.00071494264,0.00091799605,0.00039585814,0.00024593965,0.00008178521],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00046641592,0.00044538957,0.0006656961,0.00034692354,0.00017825526,0.00019174143,0.00021100603,0.0002982198,0.000049202226],"category_scores_gemma":[0.0005298444,0.00039294924,0.00021554672,0.00057653367,0.000058233218,0.0002723321,0.00013658358,0.00040325383,0.0000055487344],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032851065,0.000054376844,0.000002446027,0.00255524,0.000018519147,0.000002296832,0.0000056158074,0.000053974647,0.8508045,0.003002438,0.0019813483,0.14148639],"study_design_scores_gemma":[0.00059778657,0.00048916263,0.0009802477,0.0009670239,0.00041886634,0.0001929006,0.0000047571534,0.7578846,0.035374388,0.00093015045,0.20131479,0.0008453027],"about_ca_topic_score_codex":0.00006174109,"about_ca_topic_score_gemma":0.000092533584,"teacher_disagreement_score":0.87398034,"about_ca_system_score_codex":0.00020503442,"about_ca_system_score_gemma":0.00006977164,"threshold_uncertainty_score":0.99985224},"labels":[],"label_agreement":null},{"id":"W4402323711","doi":"10.1007/978-3-031-71533-4_24","title":"“Value” Emerges from Imperfect Memory","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Imperfect; Value (mathematics); Machine learning","score_opus":0.01914579287497921,"score_gpt":0.2465225574670319,"score_spread":0.2273767645920527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402323711","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028761873,0.0024193635,0.8477039,0.005483047,0.044530097,0.0016074785,0.00026989717,0.0010955147,0.06812884],"genre_scores_gemma":[0.9704035,0.00034949277,0.0076991287,0.007934363,0.0029837233,0.000016564192,0.000021490616,0.0001693273,0.010422437],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9964993,0.000030525818,0.00036330186,0.0017872648,0.00083001255,0.0004896067],"domain_scores_gemma":[0.99825335,0.0007223817,0.00013100408,0.0007226239,0.000046075307,0.00012459244],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030658892,0.00047271003,0.0003852403,0.00051704457,0.00021452577,0.0003858896,0.0010968088,0.0002574162,0.00016796327],"category_scores_gemma":[0.00018585601,0.00038818235,0.00017264683,0.00042753504,0.0006426602,0.00024076244,0.0006846692,0.0009741261,0.0003134189],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000338452,0.00004111289,0.000019878295,0.00009573313,0.000016045848,0.00067946955,0.0005069749,0.032224927,0.23316829,0.034807,0.00023558844,0.69817114],"study_design_scores_gemma":[0.00017515579,0.00021948836,0.000049102433,0.00044071765,0.000027095299,0.00006911069,1.5198361e-7,0.41340634,0.0687815,0.5114213,0.004571607,0.0008384223],"about_ca_topic_score_codex":0.00006515447,"about_ca_topic_score_gemma":0.0000593834,"teacher_disagreement_score":0.94164157,"about_ca_system_score_codex":0.00019170028,"about_ca_system_score_gemma":0.00016755234,"threshold_uncertainty_score":0.999857},"labels":[],"label_agreement":null},{"id":"W4402326824","doi":"10.1016/j.neuron.2024.08.006","title":"Failure in a population: Tauopathy disrupts homeostatic set-points in emergent dynamics despite stability in the constituent neurons","year":2024,"lang":"en","type":"article","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute on Aging; National Institute of Neurological Disorders and Stroke; Canadian Institute for Advanced Research; JPB Foundation; BrightFocus Foundation; National Institutes of Health; National Science Foundation","keywords":"Tauopathy; Neuroscience; Set (abstract data type); Dynamics (music); Population; Homeostasis; Biology; Psychology; Computer science; Neurodegeneration; Disease; Cell biology; Medicine","score_opus":0.030763815316294442,"score_gpt":0.276679074707521,"score_spread":0.24591525939122658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402326824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916337,0.000028832234,0.000054584747,0.00628646,0.0010050941,0.00071482005,0.00005749509,0.000058309153,0.0001607146],"genre_scores_gemma":[0.99876994,0.000047504764,0.0000131653305,0.0010090991,0.00002637434,0.00006274585,0.000025924686,0.000022085953,0.000023189197],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975513,0.0005781025,0.00046715737,0.00067269575,0.0003595721,0.00037112486],"domain_scores_gemma":[0.99907756,0.00045101196,0.000055721397,0.00035313668,0.000010308008,0.000052262276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004184378,0.0002085773,0.00018931953,0.00027837852,0.00006866113,0.00013152476,0.00025549345,0.00005953929,0.000038048827],"category_scores_gemma":[0.00047340032,0.00016421282,0.00006558641,0.0012311331,0.00008269311,0.000290705,0.00008754812,0.000584272,0.000027357286],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046594546,0.001945103,0.77067804,0.0010809987,0.0000069577313,0.006646515,0.009266935,0.015195675,0.0867167,0.070904106,0.00067309383,0.03641994],"study_design_scores_gemma":[0.00062683347,0.00026244635,0.61808807,0.00013797746,0.000010167598,0.00009579016,0.0003075039,0.37432382,0.0003180905,0.004371318,0.0011066267,0.0003513436],"about_ca_topic_score_codex":0.00029492693,"about_ca_topic_score_gemma":0.010084459,"teacher_disagreement_score":0.35912815,"about_ca_system_score_codex":0.00021366213,"about_ca_system_score_gemma":0.00004422057,"threshold_uncertainty_score":0.6696405},"labels":[],"label_agreement":null},{"id":"W4402333075","doi":"10.1016/j.neuroscience.2024.09.010","title":"KETAMINE: Neural- and network-level changes","year":2024,"lang":"en","type":"review","venue":"Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Université du Québec à Montréal; York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Neuroscience; Ketamine; Neuroplasticity; Cognition; Psychology; Modularity (biology); Computer science; Biology","score_opus":0.16139449767380004,"score_gpt":0.3445685897601174,"score_spread":0.18317409208631735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402333075","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000044233453,0.991584,0.000031076288,0.00038727088,0.0061901007,0.0006926478,0.00012565586,0.0002676792,0.00067731994],"genre_scores_gemma":[0.00015077933,0.9908377,0.000018870447,0.0021197845,0.00051692745,0.00008020353,0.0000050201484,0.000082558625,0.0061881538],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.996448,0.0002270613,0.00038924156,0.0017278973,0.00050109276,0.0007067158],"domain_scores_gemma":[0.9986757,0.0003573708,0.00022646831,0.00051336794,0.000017468088,0.00020962612],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025479932,0.0005947479,0.0009286986,0.0002594731,0.00033998533,0.00053859805,0.00072460854,0.00019020618,0.000010983987],"category_scores_gemma":[0.00052396563,0.0004210487,0.00021077557,0.0016275897,0.00042052768,0.00021193674,0.000632033,0.0007663176,0.00010877289],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014431123,0.000015342246,9.944571e-7,0.0029643106,0.0000012531855,0.00017595387,0.0000069055536,0.0000059443855,0.000558596,0.0016697266,0.0025463083,0.9920532],"study_design_scores_gemma":[0.000037390313,0.00013079778,0.00001215325,0.0013503168,0.00016409316,0.0006900852,5.4197926e-7,0.003134018,0.000011681099,0.00018256491,0.9938711,0.00041525584],"about_ca_topic_score_codex":0.0000035843761,"about_ca_topic_score_gemma":0.000008141958,"teacher_disagreement_score":0.99163795,"about_ca_system_score_codex":0.000039575287,"about_ca_system_score_gemma":0.00008743189,"threshold_uncertainty_score":0.9998241},"labels":[],"label_agreement":null},{"id":"W4402358462","doi":"10.1016/j.cub.2024.07.091","title":"Spatiotemporal resonance in mouse primary visual cortex","year":2024,"lang":"en","type":"article","venue":"Current Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"H2020 Marie Skłodowska-Curie Actions; Natural Sciences and Engineering Research Council of Canada; Horizon 2020 Framework Programme; Horizon 2020; Leverhulme Trust; Canadian Institutes of Health Research; Alberta Innovates","keywords":"Visual cortex; Flicker; Neuroscience; Biology; Stimulus (psychology); Cortex (anatomy); Perception; Visual perception; Physics; Psychology; Computer science","score_opus":0.04037110396904368,"score_gpt":0.32511593699845487,"score_spread":0.28474483302941117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402358462","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99461216,0.0013126243,0.00022390738,0.00033448866,0.0028109855,0.00013388404,0.000035595356,0.00010404061,0.00043230772],"genre_scores_gemma":[0.99862236,0.00042520923,0.00000956228,0.00026788475,0.00013431955,0.000013997909,0.000036627644,0.000009418142,0.00048061396],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991089,0.00008614923,0.00016242724,0.00038876943,0.000058243037,0.00019551504],"domain_scores_gemma":[0.99973375,0.000113105525,0.000024754643,0.000091258466,0.000007060356,0.000030066853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000891883,0.00009075465,0.00010646398,0.000108725595,0.000030854586,0.000025528514,0.00009958731,0.00005454223,0.000030116618],"category_scores_gemma":[0.00007858548,0.000074808915,0.00003579448,0.00022928647,0.00008511765,0.00008228353,0.00006037987,0.00021442863,0.00011502885],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032811306,0.00008739981,0.005789462,0.000048674443,7.605606e-7,0.000022726132,0.000032624386,0.0000026084065,0.70872355,0.014657649,0.0009034066,0.26969835],"study_design_scores_gemma":[0.0009481724,0.0008151103,0.0975981,0.00019775584,0.000008537132,0.00005829855,0.000009652785,0.0748677,0.068866916,0.010518799,0.7453277,0.00078326557],"about_ca_topic_score_codex":0.000010432739,"about_ca_topic_score_gemma":0.000012424798,"teacher_disagreement_score":0.7444243,"about_ca_system_score_codex":0.000050919734,"about_ca_system_score_gemma":0.00003928767,"threshold_uncertainty_score":0.3050619},"labels":[],"label_agreement":null},{"id":"W4402404767","doi":"10.7554/elife.98841.2","title":"Operation regimes of spinal circuits controlling locomotion and role of supraspinal drives and sensory feedback","year":2024,"lang":"en","type":"preprint","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; Université de Sherbrooke","funders":"","keywords":"Sensory system; Neuroscience; Spinal manipulation; Computer science; Psychology; Medicine","score_opus":0.025573675896606283,"score_gpt":0.26707139537477187,"score_spread":0.2414977194781656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402404767","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99704677,0.0011354806,0.00032132948,0.00033092243,0.00041500432,0.00031546137,0.000044178007,0.000029373014,0.00036145773],"genre_scores_gemma":[0.9988835,0.00063891243,0.00007673208,0.00006886257,0.00012607392,0.000007967992,0.0000075541034,0.000016213999,0.0001741987],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987637,0.00009840702,0.00032208563,0.00044801077,0.0002517362,0.00011610243],"domain_scores_gemma":[0.99944663,0.00007104124,0.00020507134,0.00015859133,0.00007141271,0.000047240923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019353961,0.00016220953,0.00029354662,0.00013192544,0.00005554081,0.00007129258,0.00006467694,0.00012915835,0.0000060007737],"category_scores_gemma":[0.0001568867,0.00014966846,0.00005685895,0.00006528629,0.00014831618,0.00007349861,0.00023699795,0.00030224878,0.00000282272],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006189173,0.000029205774,0.0003600548,0.00045714222,0.000012875526,0.0000053722147,0.00020228316,0.00082670455,0.9859909,0.004557681,0.000018303548,0.0074775866],"study_design_scores_gemma":[0.0008972981,0.000807751,0.019145062,0.0012144813,0.00014078032,0.00010407389,0.00022754463,0.17207482,0.79318076,0.011551002,0.00021610702,0.00044029928],"about_ca_topic_score_codex":0.00002956615,"about_ca_topic_score_gemma":0.000004579182,"teacher_disagreement_score":0.19281012,"about_ca_system_score_codex":0.000015849693,"about_ca_system_score_gemma":0.000049275353,"threshold_uncertainty_score":0.6103303},"labels":[],"label_agreement":null},{"id":"W4402421663","doi":"10.1038/s41467-026-72146-9","title":"Modeling Attention and Binding in the Brain through Bidirectional Recurrent Gating","year":2024,"lang":"en","type":"preprint","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Health Information","funders":"Institute for Information and Communications Technology Promotion; Korea University; Ministry of Science and ICT, South Korea; Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft","keywords":"Gating; Neuroscience; Psychology; Computer science","score_opus":0.08855569005545816,"score_gpt":0.3616632506721412,"score_spread":0.27310756061668306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402421663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91259825,0.007175526,0.0004089483,0.07081384,0.0025036912,0.00089814817,0.00013783998,0.00019140595,0.005272347],"genre_scores_gemma":[0.9958418,0.0017383414,0.0009356221,0.0010266822,0.00010221514,0.00012116765,0.00012704807,0.000020106874,0.00008703287],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984233,0.00044110708,0.0002867691,0.00044024456,0.00025659706,0.00015200983],"domain_scores_gemma":[0.9981164,0.00081624696,0.000096600896,0.0009108813,0.00004163709,0.000018278526],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00058124884,0.00016790602,0.00013211575,0.00016329481,0.00043185067,0.00027278188,0.00079456536,0.00031315396,0.0000025409097],"category_scores_gemma":[0.00072658766,0.00013131356,0.0000856108,0.0004582272,0.00008401159,0.0000943663,0.0015759119,0.0041167433,0.00000921802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005416768,0.00068039005,0.0010982149,0.0007386967,0.00006961291,0.000019967387,0.0075938357,0.017291337,0.15942642,0.768226,0.0072302893,0.03757107],"study_design_scores_gemma":[0.00011145186,0.0000185388,0.00040394947,0.00053325255,0.000031076437,0.000040296458,0.00025631054,0.93418384,0.00011844217,0.060227122,0.00383374,0.00024201306],"about_ca_topic_score_codex":0.000052611307,"about_ca_topic_score_gemma":0.00044686417,"teacher_disagreement_score":0.91689247,"about_ca_system_score_codex":0.00009582395,"about_ca_system_score_gemma":0.00004888833,"threshold_uncertainty_score":0.9981808},"labels":[],"label_agreement":null},{"id":"W4402429781","doi":"10.3389/fncir.2024.1456558","title":"Criticality and universality in neuronal cultures during “up” and “down” states","year":2024,"lang":"en","type":"article","venue":"Frontiers in Neural Circuits","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hotchkiss Brain Institute; McGill University; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Universality (dynamical systems); Neuroscience; Criticality; Psychology; Self-organized criticality; Cognitive psychology; Physics","score_opus":0.015485784461448632,"score_gpt":0.2526892150769539,"score_spread":0.23720343061550528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402429781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964849,0.00044849608,0.00007745766,0.001164519,0.0013300072,0.00016755314,0.000034822075,0.00007313051,0.00021912741],"genre_scores_gemma":[0.99910605,0.00022917634,0.000011908379,0.00037068696,0.000036730635,0.000005416306,0.0000031609168,0.000013208349,0.00022367213],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99859244,0.00016101636,0.00019628249,0.00057984533,0.00016649449,0.00030391582],"domain_scores_gemma":[0.9996443,0.00013438417,0.000018014156,0.000102891565,0.00000974552,0.0000906872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012677463,0.00015180807,0.00017495245,0.0001729642,0.000084952844,0.00018299058,0.00009515344,0.00006163019,0.0000063504617],"category_scores_gemma":[0.00018135278,0.0001391079,0.000028079285,0.0003328719,0.00020516738,0.00041374538,0.00007923398,0.00035009836,0.000001105969],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029936372,0.00022516592,0.37913865,0.0017169963,0.000021157688,0.0025471395,0.0036932481,0.0006519246,0.5143145,0.02075052,0.0037816036,0.07285973],"study_design_scores_gemma":[0.001209887,0.00013128888,0.83093977,0.00015361258,0.00001824003,0.00017036658,0.00046767693,0.13741836,0.008242939,0.019348575,0.00133086,0.00056844455],"about_ca_topic_score_codex":0.000056541714,"about_ca_topic_score_gemma":0.000031817784,"teacher_disagreement_score":0.50607157,"about_ca_system_score_codex":0.00006183821,"about_ca_system_score_gemma":0.0000138088535,"threshold_uncertainty_score":0.5672655},"labels":[],"label_agreement":null},{"id":"W4402443675","doi":"10.1101/2024.09.10.612351","title":"Measuring the neurodevelopmental trajectory of excitatory-inhibitory balance via visual gamma oscillations","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Holland Bloorview Kids Rehabilitation Hospital; Mental Health Research Canada; Hospital for Sick Children","funders":"","keywords":"Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Balance (ability); Trajectory; Neuroscience; Physics; Psychology; Astronomy","score_opus":0.023063891438245873,"score_gpt":0.22456550368933137,"score_spread":0.20150161225108548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402443675","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915304,0.000437267,0.0005362206,0.00027791143,0.0057406975,0.00078911125,0.00017695075,0.00045750878,0.00005391366],"genre_scores_gemma":[0.9984121,0.00010421465,0.00023435063,0.00033485363,0.00059218984,0.00013963494,2.1983037e-7,0.00015770072,0.000024785875],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99610984,0.0003289661,0.0007650713,0.0013589724,0.0008670353,0.000570097],"domain_scores_gemma":[0.99791753,0.00028975762,0.00047328617,0.0009117693,0.00022014239,0.00018753638],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006167505,0.00060766435,0.0005013257,0.00035990725,0.00035775662,0.00023872673,0.0007256074,0.0003199402,0.000027481803],"category_scores_gemma":[0.0004085931,0.00052900414,0.00028204764,0.00082481746,0.00034861846,0.00016132605,0.00088284863,0.0013408421,0.00010135142],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023310773,0.00008421674,0.0009985702,0.00035008142,0.000033980457,0.000046188077,0.000021141095,0.00032500806,0.9973468,0.0005198646,0.00024309939,0.000007695531],"study_design_scores_gemma":[0.0003336875,0.000082182785,0.076969296,0.0005196052,0.00010816628,2.4825638e-7,0.0000050385647,0.012739412,0.90636396,0.000035524045,0.0019065142,0.0009363581],"about_ca_topic_score_codex":0.000022593678,"about_ca_topic_score_gemma":0.000003627823,"teacher_disagreement_score":0.09098288,"about_ca_system_score_codex":0.00030448515,"about_ca_system_score_gemma":0.0006157576,"threshold_uncertainty_score":0.99971616},"labels":[],"label_agreement":null},{"id":"W4402559991","doi":"10.1101/2024.09.17.613530","title":"Cortical state contributions to neuronal response variability in the early visual cortex: A system identification approach","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Visual cortex; Identification (biology); Neuroscience; Cortex (anatomy); State (computer science); Cognitive science; Psychology; Computer science; Biology; Botany","score_opus":0.01638144755786549,"score_gpt":0.25855445194676413,"score_spread":0.24217300438889863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402559991","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98512226,0.000016017282,0.008617552,0.00087308727,0.0018312227,0.0019617262,0.0011916095,0.0003783576,0.000008186645],"genre_scores_gemma":[0.99855334,0.000005406056,0.00010509338,0.00037947518,0.00018212556,0.000697514,6.5087494e-7,0.00006725687,0.000009129354],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9933396,0.0028814452,0.0008403136,0.0016212601,0.00074090034,0.00057647785],"domain_scores_gemma":[0.9970026,0.001061302,0.00025124176,0.001161779,0.00029875402,0.00022431041],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004966494,0.00043223597,0.0004146765,0.00034334644,0.0002839441,0.0008239338,0.0007326735,0.0002787872,0.000003834439],"category_scores_gemma":[0.004020995,0.0003679229,0.00015573339,0.0013546683,0.0001640721,0.000120200704,0.0006121496,0.00162556,0.00015930003],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003796,0.00026848604,0.00038984467,0.00024705977,0.000013204946,0.00008425802,0.00003789203,0.00022771815,0.98684,0.011448685,0.00006161926,0.0000016235286],"study_design_scores_gemma":[0.00051923183,0.0002555816,0.80609804,0.0003142892,0.0001470205,4.5921115e-7,0.000013155146,0.084404126,0.106682114,0.00007183399,0.0005434214,0.0009507092],"about_ca_topic_score_codex":0.00004849977,"about_ca_topic_score_gemma":0.00000177493,"teacher_disagreement_score":0.8801579,"about_ca_system_score_codex":0.000745634,"about_ca_system_score_gemma":0.0005645188,"threshold_uncertainty_score":0.9998773},"labels":[],"label_agreement":null},{"id":"W4402565257","doi":"10.2139/ssrn.4959409","title":"Sensing, Feeling and Sentience in Unicellular Organisms and Living Cells","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Sentience; Feeling; Biology; Ecology; Communication; Psychology; Environmental ethics; Philosophy; Social psychology","score_opus":0.010214210882790044,"score_gpt":0.2239723940056433,"score_spread":0.21375818312285327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402565257","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937559,0.0030915607,0.0011613418,0.0004985124,0.0011669381,0.0001548443,0.0000027369272,0.00004135794,0.00012685456],"genre_scores_gemma":[0.9833507,0.015118653,0.00007649454,0.00012473066,0.00017556077,7.784521e-7,6.033998e-7,0.00004214964,0.0011103158],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99725634,0.00017105599,0.00033119213,0.0006565247,0.0002622347,0.00132265],"domain_scores_gemma":[0.9993702,0.000174527,0.0001738936,0.0001671457,0.00002671636,0.000087525856],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0012920531,0.00026170607,0.00024749004,0.00027446428,0.00019027303,0.00044670628,0.00018188858,0.00016927943,0.0000050023814],"category_scores_gemma":[0.00017183556,0.0002417675,0.00005942067,0.00021905167,0.00008693787,0.0000971555,0.00077004527,0.0050516217,0.000008061992],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019807978,0.000037922462,0.00031982333,0.0001819009,0.000028685807,0.00022684662,0.0007765091,0.00085589517,0.95263696,0.019785935,0.000013169662,0.025116568],"study_design_scores_gemma":[0.00038338432,0.0002525525,0.0003116134,0.0013146176,0.00011209898,0.0048028654,0.0012757342,0.13109873,0.026716834,0.8325525,0.00025145346,0.00092761416],"about_ca_topic_score_codex":0.00007257589,"about_ca_topic_score_gemma":0.0003096366,"teacher_disagreement_score":0.9259201,"about_ca_system_score_codex":0.00043289716,"about_ca_system_score_gemma":0.0007718377,"threshold_uncertainty_score":0.99724376},"labels":[],"label_agreement":null},{"id":"W4402576597","doi":"10.4006/0836-1398-37.3.212","title":"Quantum information processing in a neuron","year":2024,"lang":"en","type":"article","venue":"Physics Essays","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Physics; Quantum; Quantum mechanics","score_opus":0.026278549593605142,"score_gpt":0.2615874967709897,"score_spread":0.23530894717738454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402576597","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8698287,0.00008400659,0.030973684,0.0019503873,0.0021976996,0.00047196762,0.000025431738,0.00066346594,0.093804665],"genre_scores_gemma":[0.9993736,0.000013152102,0.000011707841,0.0004448135,0.0000788485,0.000012284392,0.0000050656918,0.000008744331,0.000051789884],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942666,0.000022977449,0.00012117388,0.00014782039,0.00014489437,0.00013646854],"domain_scores_gemma":[0.9998272,0.000041195755,0.000025830403,0.000075101256,0.000010630892,0.000020044385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006206251,0.000072375486,0.000058214733,0.00006271723,0.000050371567,0.00020188096,0.00007340559,0.000019695155,0.0000043114],"category_scores_gemma":[0.000046857396,0.00006439976,0.00002551858,0.00045289297,0.000020250729,0.0011774908,0.00002842591,0.00014796102,0.00011909066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013780123,0.000043825665,0.00006867154,0.00021401573,4.836114e-7,0.000018539153,0.00062640203,0.0012638413,0.1737992,0.59809566,0.00029622065,0.22555938],"study_design_scores_gemma":[0.000088861074,0.00002961598,0.0001611981,0.000060546816,0.0000024523363,0.00000592783,0.000015117042,0.829406,0.0055038184,0.16288328,0.0017382874,0.00010487237],"about_ca_topic_score_codex":0.000009099324,"about_ca_topic_score_gemma":0.000001295809,"teacher_disagreement_score":0.82814217,"about_ca_system_score_codex":0.000026663782,"about_ca_system_score_gemma":0.000027938122,"threshold_uncertainty_score":0.2626146},"labels":[],"label_agreement":null},{"id":"W4402603705","doi":"10.1007/978-3-031-55229-8","title":"The Neuron in Context","year":2024,"lang":"en","type":"book","venue":"SpringerBriefs in psychology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ruhr-Universität Bochum; McGill University","keywords":"Context (archaeology); Computer science; Cognitive science; Psychology; Geography; Archaeology","score_opus":0.03251995031899572,"score_gpt":0.30947532549666007,"score_spread":0.27695537517766433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402603705","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0085136285,0.0023035225,0.000011747557,0.007333364,0.0154870795,0.0007302502,0.000020909141,0.0001409333,0.9654586],"genre_scores_gemma":[0.0798594,0.0037616554,0.0000064079,0.012924805,0.00059040106,0.00011035697,0.0000071862264,0.00015613985,0.90258366],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99764544,0.00017255261,0.0004991345,0.0009900589,0.00020810791,0.00048471024],"domain_scores_gemma":[0.9985975,0.0005939778,0.00012244856,0.0006290149,0.000011397575,0.00004564273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038155622,0.00029535932,0.00031357212,0.00031195444,0.00007259007,0.00008808637,0.0006045868,0.00035715575,0.000054657066],"category_scores_gemma":[0.00027944695,0.0002309301,0.00011085567,0.00027491988,0.00031276807,0.00005058013,0.00018466919,0.001621658,0.00068929844],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038287698,0.00015761542,0.00018656676,0.00016877624,0.0000152215225,0.0028437532,0.00029746548,0.000026602556,0.015800083,0.49141383,0.16079308,0.32791412],"study_design_scores_gemma":[0.00029771894,0.0001065981,0.0007092284,0.00012287969,0.000004546157,0.000069344205,0.0000030782815,0.00018112396,0.000086537504,0.09139248,0.9068034,0.00022304257],"about_ca_topic_score_codex":0.000017647319,"about_ca_topic_score_gemma":0.00079683354,"teacher_disagreement_score":0.7460103,"about_ca_system_score_codex":0.00015026533,"about_ca_system_score_gemma":0.000090048285,"threshold_uncertainty_score":0.94170564},"labels":[],"label_agreement":null},{"id":"W4402622579","doi":"10.1016/j.cub.2024.08.037","title":"Brainstem inhibitory neurons enhance behavioral feature selectivity by sharpening the tuning of excitatory neurons","year":2024,"lang":"en","type":"article","venue":"Current Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Biology; Sharpening; Brainstem; Neuroscience; Cortical neurons; Feature (linguistics); Artificial intelligence; Computer science","score_opus":0.04029666566394218,"score_gpt":0.3261684501199019,"score_spread":0.28587178445595973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402622579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99158275,0.0014376797,0.00067175814,0.00096094667,0.0046510217,0.00023354571,0.000118167794,0.00014652699,0.00019760698],"genre_scores_gemma":[0.9991461,0.000109448505,0.0000056012263,0.00022833192,0.00017342827,0.000024750567,0.000019626948,0.000022009517,0.0002706934],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984259,0.0003585791,0.00019656493,0.00057651266,0.0001221776,0.00032023797],"domain_scores_gemma":[0.9991163,0.00047610115,0.000092589646,0.00023295099,0.000025578613,0.000056497087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017643256,0.00018418636,0.00017679005,0.00008950377,0.0002049796,0.000049933264,0.00028127737,0.000089057394,0.000017035094],"category_scores_gemma":[0.00015597933,0.00013211618,0.00010896885,0.000392494,0.00029010497,0.00015174701,0.00014641063,0.0007127233,0.000015930726],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010786079,0.000056638095,0.00074821914,0.00003591961,0.0000023714763,0.0000051110646,0.00011053034,0.0000056398203,0.9550702,0.0013871796,0.006453294,0.036114093],"study_design_scores_gemma":[0.0004799955,0.001308624,0.005485623,0.00032028442,0.00009854622,0.0001672544,0.00008587331,0.02126912,0.5662433,0.0011613494,0.4024666,0.00091345364],"about_ca_topic_score_codex":0.000007832847,"about_ca_topic_score_gemma":0.0000073311667,"teacher_disagreement_score":0.3960133,"about_ca_system_score_codex":0.000035984922,"about_ca_system_score_gemma":0.00006098096,"threshold_uncertainty_score":0.53875417},"labels":[],"label_agreement":null},{"id":"W4402637267","doi":"10.1016/j.neuroimage.2024.120862","title":"Reliable measurement of auditory-driven gamma synchrony with a single EEG electrode: A simultaneous EEG-MEG study","year":2024,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Ministero della Salute; Academic Medical Organization of Southwestern Ontario","keywords":"Electroencephalography; Magnetoencephalography; Audiology; EEG-fMRI; Psychology; Speech recognition; Computer science; Neuroscience; Medicine","score_opus":0.024912782697060175,"score_gpt":0.24336669247319895,"score_spread":0.21845390977613877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402637267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99446434,0.0000896686,0.00059837045,0.00035718965,0.0010619323,0.0008860889,0.000019883673,0.0003355372,0.0021870006],"genre_scores_gemma":[0.99844533,0.000027048705,0.00005697248,0.00021592151,0.000117428935,0.000034685792,0.0000015912551,0.00006918018,0.0010318434],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9972159,0.00015916549,0.00032311582,0.0008650128,0.0010081985,0.00042855548],"domain_scores_gemma":[0.99888134,0.0002862293,0.00010917005,0.0004930757,0.00013380866,0.00009638654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021969914,0.00027154997,0.00027452337,0.00016050132,0.00014404625,0.00017408798,0.00028743557,0.0000472633,0.00004756388],"category_scores_gemma":[0.0004714076,0.00021707585,0.000086131295,0.00065174705,0.0001075548,0.00022632291,0.00008709048,0.00036155622,0.00007047371],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014969039,0.0006147523,0.0001270857,0.00009274427,0.000015197345,0.0010107406,0.00012968994,0.0016871366,0.9927133,0.00007195006,0.0017282593,0.0016594848],"study_design_scores_gemma":[0.0038835409,0.032035068,0.0077961762,0.0006791266,0.0005039792,0.0008350969,0.00023794452,0.33149382,0.54814947,0.00037260648,0.07212575,0.0018874331],"about_ca_topic_score_codex":0.00003340873,"about_ca_topic_score_gemma":0.000057011497,"teacher_disagreement_score":0.44456384,"about_ca_system_score_codex":0.0001539652,"about_ca_system_score_gemma":0.00011946783,"threshold_uncertainty_score":0.8852096},"labels":[],"label_agreement":null},{"id":"W4402660621","doi":"10.1101/2024.09.12.612641","title":"Behavioral Evidence for Two Modes of Attention","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Agence Nationale de la Recherche; Fondation Pour l'Audition; Aix-Marseille Université","keywords":"Rhythm; Categorization; Perception; Stimulus (psychology); Psychology; Cognitive psychology; Mode (computer interface); Sensory system; Communication; Computer science; Neuroscience; Artificial intelligence; Human–computer interaction; Physics; Acoustics","score_opus":0.07442983698682347,"score_gpt":0.3109086640898496,"score_spread":0.2364788271030261,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402660621","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931336,0.0003854328,0.0019093874,0.00024575516,0.0025328451,0.0010486556,0.00043812572,0.0003015582,0.000004620021],"genre_scores_gemma":[0.99782246,0.00010473777,0.0012206563,0.0000991702,0.00031980043,0.00030599578,2.0378013e-7,0.00010339758,0.000023548364],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99743617,0.00010006072,0.00052349624,0.0011506308,0.0004046999,0.0003849409],"domain_scores_gemma":[0.9982115,0.00020790193,0.00037049822,0.00080765825,0.00028143037,0.00012099424],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00043211126,0.00038891588,0.00041336272,0.00027196246,0.00011561649,0.00021043644,0.00048710997,0.00025528873,0.0000128212905],"category_scores_gemma":[0.00044264953,0.00039277948,0.00030034187,0.00041079771,0.00013654219,0.00018948689,0.000582587,0.00053177547,0.00003286746],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054428772,0.000098478515,0.00032741655,0.0007352293,0.000012903334,0.0000137892175,0.0000023975883,0.00016931469,0.99234205,0.006129383,0.00010800919,0.0000066013486],"study_design_scores_gemma":[0.0002898013,0.00015292103,0.002828747,0.0011222394,0.00019073894,2.0264316e-8,9.3052734e-7,0.018603124,0.97601074,0.00012914294,0.00018588452,0.00048571086],"about_ca_topic_score_codex":0.000048141803,"about_ca_topic_score_gemma":0.0000024671683,"teacher_disagreement_score":0.018433807,"about_ca_system_score_codex":0.000166088,"about_ca_system_score_gemma":0.00025912313,"threshold_uncertainty_score":0.9998524},"labels":[],"label_agreement":null},{"id":"W4402664250","doi":"10.1101/2024.09.09.611991","title":"Multiplexing of functionally distinct inputs by intrinsic modulation of spike timing in a monoaminergic nucleus","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Neuroscience; Excitatory postsynaptic potential; Population; Bursting; Electrophysiology; Dorsal raphe nucleus; Biology; Serotonergic; Inhibitory postsynaptic potential; Serotonin","score_opus":0.02158083666694208,"score_gpt":0.22664100579075758,"score_spread":0.2050601691238155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402664250","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99625206,0.00015683429,0.000860782,0.00012283823,0.0014208195,0.0005324082,0.0004738477,0.00015803702,0.000022394886],"genre_scores_gemma":[0.9989995,0.000053260886,0.0005393089,0.00007344496,0.00016611977,0.00006252328,0.000001298958,0.00009475683,0.000009816333],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997128,0.00013355612,0.0008797617,0.0010125695,0.0004980165,0.00034807404],"domain_scores_gemma":[0.9982726,0.00019496238,0.00061387906,0.0006199082,0.00019705582,0.00010158022],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00039891974,0.00041979435,0.00055071595,0.0005600698,0.00006167154,0.00008360431,0.00036273742,0.000322938,0.000017444523],"category_scores_gemma":[0.0006392325,0.00044495138,0.00016365711,0.0009346722,0.00013362675,0.00014592001,0.00062404084,0.00072426366,0.000013484508],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006221495,0.000122203,0.0038826263,0.0006467713,0.000019167974,0.00002344121,0.000010941659,0.0028763602,0.9912565,0.0010234907,0.000048491278,0.000027828266],"study_design_scores_gemma":[0.0006572342,0.00012149354,0.108397804,0.001091263,0.00006112658,5.2769902e-8,0.0000016114933,0.13287246,0.75566965,0.000076257886,0.00037158438,0.0006794739],"about_ca_topic_score_codex":0.00008872389,"about_ca_topic_score_gemma":0.000007616361,"teacher_disagreement_score":0.23558682,"about_ca_system_score_codex":0.00024616675,"about_ca_system_score_gemma":0.0002074824,"threshold_uncertainty_score":0.9998002},"labels":[],"label_agreement":null},{"id":"W4402675256","doi":"10.7554/elife.99473.1.sa4","title":"eLife Assessment: Ultrastructural sublaminar-specific diversity of excitatory synaptic boutons in layer 1 of the adult human temporal lobe neocortex","year":2024,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Neocortex; Excitatory postsynaptic potential; Ultrastructure; Neuroscience; Temporal lobe; Layer (electronics); Biology; Pathology; Anatomy; Medicine; Chemistry; Inhibitory postsynaptic potential; Epilepsy","score_opus":0.044672880093023594,"score_gpt":0.3046111439958824,"score_spread":0.2599382639028588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402675256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95819527,0.0018004507,0.000032758613,0.010328821,0.009527235,0.0023176332,0.0015446376,0.00012855865,0.016124643],"genre_scores_gemma":[0.9631817,0.0008963182,0.000030484585,0.0012374839,0.000099748635,0.000016685373,0.00010262336,0.00003891623,0.03439607],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99668723,0.00030595082,0.00083048217,0.0007989223,0.0010187257,0.0003586632],"domain_scores_gemma":[0.9982345,0.00022619017,0.0005559427,0.0007158363,0.00019389932,0.00007362413],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034423167,0.00041976172,0.0007806401,0.00023257983,0.00019913111,0.000043768177,0.0009488751,0.00022396272,0.00043355345],"category_scores_gemma":[0.0001477457,0.00028506745,0.0004591488,0.00076220644,0.00042111875,0.00014694361,0.00081499736,0.0009841756,0.000014058967],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006497392,0.00046750112,0.018497916,0.012178771,0.0001463159,0.00019190481,0.00034506494,0.00005768412,0.16336934,0.03421363,0.7682905,0.0021763502],"study_design_scores_gemma":[0.004578214,0.0025035997,0.48030362,0.033962462,0.0019332565,0.00042847134,0.00091275515,0.0054336856,0.027145302,0.016054746,0.42088693,0.005856949],"about_ca_topic_score_codex":0.0007067135,"about_ca_topic_score_gemma":0.0007544206,"teacher_disagreement_score":0.4618057,"about_ca_system_score_codex":0.00018969337,"about_ca_system_score_gemma":0.00017125384,"threshold_uncertainty_score":0.9999601},"labels":[],"label_agreement":null},{"id":"W4402679059","doi":"10.7554/elife.95764.2.sa0","title":"Author response: Shortcutting from self-motion signals: quantifying trajectories and active sensing in an open maze","year":2024,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Motion (physics); Computer science; Artificial intelligence","score_opus":0.16521407701527624,"score_gpt":0.39984926817145494,"score_spread":0.2346351911561787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402679059","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84210676,0.0055721765,0.0012147175,0.12232009,0.016482783,0.006135893,0.0024908802,0.0012412901,0.002435383],"genre_scores_gemma":[0.795689,0.0021551044,0.005176234,0.011534165,0.0015329568,0.00012891357,0.0013236116,0.00050811813,0.18195193],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99575657,0.0012247511,0.0006071616,0.0015428461,0.0004816381,0.00038704404],"domain_scores_gemma":[0.99764067,0.0015041254,0.00024560466,0.00039919076,0.00008831535,0.00012211785],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015277911,0.00046124068,0.00072036736,0.00031045012,0.00019114131,0.0010174372,0.00039892536,0.000298589,0.00013442068],"category_scores_gemma":[0.0013864401,0.00040044868,0.00008279773,0.00066837826,0.000060792972,0.00077429495,0.00049481366,0.0009362598,0.000021609614],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011338453,0.00021510833,0.00007057328,0.0031682055,0.00007264325,0.0008141981,0.0028905557,0.000029591076,0.78231865,0.0006490409,0.060918458,0.14771914],"study_design_scores_gemma":[0.0011886809,0.0013804126,0.00444171,0.02868056,0.00094049366,0.00032330974,0.0015300432,0.16601896,0.032552615,0.006333899,0.75258,0.0040293084],"about_ca_topic_score_codex":0.0010185655,"about_ca_topic_score_gemma":0.0017631828,"teacher_disagreement_score":0.749766,"about_ca_system_score_codex":0.00021102837,"about_ca_system_score_gemma":0.00017296817,"threshold_uncertainty_score":0.99984473},"labels":[],"label_agreement":null},{"id":"W4402679196","doi":"10.7554/elife.95764.2","title":"Shortcutting from self-motion signals: quantifying trajectories and active sensing in an open maze","year":2024,"lang":"en","type":"preprint","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Motion (physics); Computer vision; Artificial intelligence","score_opus":0.10913942213007734,"score_gpt":0.34802523639380184,"score_spread":0.23888581426372452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402679196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964698,0.00008328512,0.00029704487,0.00028618827,0.0016748206,0.0005624075,0.00012317713,0.00018798918,0.00031527216],"genre_scores_gemma":[0.998165,0.00008733579,0.00096572173,0.0003074043,0.0003216011,0.000012264607,0.000056049106,0.000049333736,0.000035294586],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99770844,0.00030205373,0.00033568052,0.0011035376,0.00030042304,0.00024983782],"domain_scores_gemma":[0.9991164,0.0003270484,0.00015528433,0.00027961135,0.00004080464,0.000080806545],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038119094,0.00027289195,0.00033615518,0.00016950084,0.00012337016,0.0009950659,0.00023270224,0.00020478135,0.000012208916],"category_scores_gemma":[0.00028345283,0.00026782157,0.00004450634,0.00021308336,0.000040954896,0.00034847882,0.0013839954,0.0009054379,0.000010443234],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001025312,0.00008846085,0.0014196332,0.00018155338,0.000023998988,0.00024887043,0.0059110643,0.0007880046,0.9581101,0.00059601746,0.000027674678,0.032502104],"study_design_scores_gemma":[0.0006012287,0.00022847776,0.026799284,0.0017084609,0.00013734857,0.000049988746,0.0016341051,0.73500687,0.20792833,0.024069289,0.00045963362,0.0013769806],"about_ca_topic_score_codex":0.00086709973,"about_ca_topic_score_gemma":0.0006424172,"teacher_disagreement_score":0.75018173,"about_ca_system_score_codex":0.00012546788,"about_ca_system_score_gemma":0.000083174804,"threshold_uncertainty_score":0.9999774},"labels":[],"label_agreement":null},{"id":"W4402683513","doi":"10.1101/2024.09.15.613134","title":"A Hopfield network model of neuromodulatory arousal state","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Arousal; Neuroscience; Hopfield network; State (computer science); Computer science; Psychology; Cognitive science; Artificial intelligence; Artificial neural network; Algorithm","score_opus":0.02409933948664928,"score_gpt":0.21935787823815528,"score_spread":0.195258538751506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402683513","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912993,0.00028237767,0.0025398394,0.00027170702,0.0039618746,0.0006248691,0.0004092229,0.0005626575,0.000048191116],"genre_scores_gemma":[0.9973317,0.00023441673,0.0009031174,0.00077820546,0.00044920563,0.00008030941,1.1617447e-7,0.00018050992,0.000042422427],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99649215,0.00016288325,0.0006792365,0.0014410702,0.00056528195,0.00065938325],"domain_scores_gemma":[0.99776363,0.00014834783,0.000432523,0.0012629548,0.00016604873,0.0002265164],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040900524,0.0005810541,0.00060461747,0.00025602072,0.00012799005,0.00020620237,0.00067356153,0.0003901131,0.000016111522],"category_scores_gemma":[0.0002643959,0.0005949608,0.000273353,0.00061307324,0.00017048224,0.00011792986,0.0012428053,0.0014450485,0.000064325206],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041459534,0.00007508486,0.00014514975,0.00045098178,0.000029495834,0.00008887435,0.000005615195,0.04753519,0.9475707,0.0033623443,0.00069097365,0.000004143384],"study_design_scores_gemma":[0.0002655096,0.00011041998,0.0014877669,0.00046228824,0.00010958983,4.8086044e-8,3.2874058e-7,0.5465532,0.44900146,0.00067120715,0.00046826398,0.0008699442],"about_ca_topic_score_codex":0.000021036294,"about_ca_topic_score_gemma":0.0000018259617,"teacher_disagreement_score":0.49901798,"about_ca_system_score_codex":0.000112700414,"about_ca_system_score_gemma":0.0004779937,"threshold_uncertainty_score":0.9996502},"labels":[],"label_agreement":null},{"id":"W4402762459","doi":"10.1101/2024.09.07.611827","title":"Controlled retrieval relies on directed interactions between semantic control regions and visual cortex: MEG evidence from oscillatory dynamics","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Dynamics (music); Magnetoencephalography; Neuroscience; Control (management); Visual cortex; Computer science; Natural language processing; Psychology; Artificial intelligence; Electroencephalography","score_opus":0.022882186958981185,"score_gpt":0.2579550994278509,"score_spread":0.2350729124688697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402762459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.988165,0.00071573583,0.0009214815,0.001719738,0.004402706,0.0016273077,0.0012384058,0.0011917521,0.000017832575],"genre_scores_gemma":[0.99742615,0.00071566296,0.000095408366,0.00049767183,0.00090997067,0.00012739112,0.0000016090247,0.00017563261,0.000050511822],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99500245,0.00058844115,0.000936152,0.0021081814,0.0007491679,0.00061562686],"domain_scores_gemma":[0.9946536,0.00299163,0.00067455776,0.00097061123,0.00033845622,0.000371165],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005710135,0.000840215,0.0012574027,0.00058269623,0.0004557601,0.00074242457,0.00047578133,0.0005415898,0.000022694681],"category_scores_gemma":[0.0035952898,0.00079673214,0.00033480555,0.0007633085,0.00034855597,0.00026246108,0.00064220704,0.0020997499,0.00010747702],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00093173876,0.00012951305,0.0039029364,0.0002415968,0.000292509,0.00017165358,0.000015658907,0.00007683723,0.9927066,0.0012264852,0.00029603852,0.000008437482],"study_design_scores_gemma":[0.007933261,0.0010967994,0.3122627,0.009308779,0.003437913,5.7225054e-7,0.000019617579,0.51373017,0.14616439,0.0003645374,0.0013753225,0.0043058973],"about_ca_topic_score_codex":0.00014282428,"about_ca_topic_score_gemma":0.000028712793,"teacher_disagreement_score":0.8465422,"about_ca_system_score_codex":0.00060324185,"about_ca_system_score_gemma":0.00042097212,"threshold_uncertainty_score":0.99944836},"labels":[],"label_agreement":null},{"id":"W4402769654","doi":"10.3390/s24186103","title":"Implications of Aperiodic and Periodic EEG Components in Classification of Major Depressive Disorder from Source and Electrode Perspectives","year":2024,"lang":"en","type":"article","venue":"Sensors","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Aperiodic graph; Electroencephalography; Major depressive disorder; Alpha (finance); Psychology; Anhedonia; Audiology; Pattern recognition (psychology); Neuroscience; Clinical psychology; Mathematics; Medicine; Cognitive psychology; Amygdala; Combinatorics","score_opus":0.01966331823281184,"score_gpt":0.25347564819400237,"score_spread":0.23381232996119053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402769654","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99789923,0.000584192,0.00014702276,0.0009949657,0.00003279675,0.00015364842,0.000050494255,0.000020690564,0.00011696639],"genre_scores_gemma":[0.9996426,0.00020378656,0.000030291772,0.000020505528,0.000008376325,0.000008628841,0.00000695577,0.000009508241,0.00006935532],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99931556,0.000059006677,0.00014910307,0.00030265618,0.00008181765,0.000091848706],"domain_scores_gemma":[0.99962455,0.0001600189,0.00005629908,0.00011492812,0.000018515037,0.000025676814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000034256766,0.00007478927,0.000113424496,0.0001107091,0.000057774425,0.00003252782,0.000049366143,0.000035230947,0.000009827765],"category_scores_gemma":[0.00008630019,0.00006717588,0.00002231837,0.0001963008,0.00019028266,0.00007322214,0.000026955588,0.000091964444,0.0000013249517],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020426689,0.000035196117,0.014678593,0.000023329347,0.000004377637,7.7179e-7,0.0016537393,0.000044362867,0.9781346,0.0029020372,0.0000039365136,0.0024986346],"study_design_scores_gemma":[0.0003257544,0.0000642353,0.9133775,0.00004927027,0.000021087337,0.000011362395,0.0010618161,0.06279091,0.020090792,0.0018815852,0.00021473422,0.00011090941],"about_ca_topic_score_codex":0.00015045726,"about_ca_topic_score_gemma":0.00005373893,"teacher_disagreement_score":0.9580438,"about_ca_system_score_codex":0.000016980071,"about_ca_system_score_gemma":0.000012330954,"threshold_uncertainty_score":0.2739353},"labels":[],"label_agreement":null},{"id":"W4402802034","doi":"10.1101/2024.09.20.613944","title":"<i>S</i> timulus-modulated <i>a</i> pproach to <i>s</i> teady- <i>s</i> tate: A new paradigm for event-related fMRI","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Robarts Research Institute","keywords":"Neuroscience; Stimulus (psychology); Psychology; Functional connectivity; Cognitive psychology; Cognitive science; Computer science","score_opus":0.019074875011056414,"score_gpt":0.23969167666578314,"score_spread":0.22061680165472672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402802034","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9365257,0.0017951967,0.009034233,0.014282568,0.01863117,0.010987017,0.0034922466,0.0050381823,0.00021365464],"genre_scores_gemma":[0.9886855,0.00018346195,0.0019132484,0.0059039844,0.0010485132,0.0009860719,0.0000049026817,0.0006462056,0.0006281308],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99189395,0.00026406063,0.0014851831,0.0037371889,0.0009535183,0.0016660753],"domain_scores_gemma":[0.99535197,0.00035387682,0.0006257214,0.002228864,0.0002813206,0.0011582621],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00085288554,0.0015067421,0.0012587928,0.00066409673,0.00044576524,0.0010146684,0.0015182667,0.0011185841,0.00004843979],"category_scores_gemma":[0.0007619287,0.0015431356,0.0007097651,0.0022510688,0.00016911635,0.00029143895,0.0015446559,0.0020181576,0.0008060609],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018508524,0.00024067599,0.00003188981,0.00059806206,0.000117313815,0.000116090385,0.00002393163,0.0032941496,0.9627234,0.0042402726,0.028413026,0.000016101967],"study_design_scores_gemma":[0.0016363589,0.000361442,0.00033664715,0.00086580514,0.00042124814,5.030343e-7,0.0000016719694,0.018445434,0.89065105,0.00061704963,0.08420485,0.0024579356],"about_ca_topic_score_codex":0.00008430785,"about_ca_topic_score_gemma":0.00000532745,"teacher_disagreement_score":0.07207235,"about_ca_system_score_codex":0.00055412616,"about_ca_system_score_gemma":0.0012051878,"threshold_uncertainty_score":0.9999719},"labels":[],"label_agreement":null},{"id":"W4402912265","doi":"10.1167/jov.24.10.420","title":"The brain knows more is stored in visual long-term memory than we can report","year":2024,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Term (time); Long-term memory; Computer science; Neuroscience; Cognitive psychology; Psychology; Cognition; Physics","score_opus":0.02160795177165109,"score_gpt":0.33604559053389094,"score_spread":0.31443763876223985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402912265","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9670995,0.00039702829,0.00006310389,0.02992369,0.0022168676,0.00010162682,0.000002893148,0.000016353695,0.000178938],"genre_scores_gemma":[0.99629104,0.0003694238,0.00000902485,0.00063767756,0.0002989356,0.0000011337983,7.553788e-7,0.00001750423,0.0023744875],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99849606,0.0001158467,0.0004764014,0.0002175562,0.0005085655,0.00018554695],"domain_scores_gemma":[0.99910295,0.00038225894,0.00022878541,0.00016018513,0.000046982,0.00007886044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007629081,0.00011139647,0.0001474831,0.00018740183,0.00012956014,0.00020002176,0.00020395197,0.000055555716,0.000023740895],"category_scores_gemma":[0.00038413933,0.000065350185,0.0001392332,0.00033414073,0.000062279396,0.0002521422,0.00006414995,0.00042198383,0.000008149979],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021070938,0.00013219206,0.0020804752,0.000052909047,0.000012397674,0.007860562,0.00083738,0.0000856766,0.8482962,0.00015878868,0.016700778,0.12357191],"study_design_scores_gemma":[0.002745927,0.0046988376,0.6418152,0.0036122992,0.00010529679,0.023828678,0.00080127176,0.09155483,0.16294624,0.004156118,0.06264412,0.0010912087],"about_ca_topic_score_codex":0.000011516177,"about_ca_topic_score_gemma":0.000060274888,"teacher_disagreement_score":0.68535,"about_ca_system_score_codex":0.00011432212,"about_ca_system_score_gemma":0.00010692075,"threshold_uncertainty_score":0.2664903},"labels":[],"label_agreement":null},{"id":"W4402914635","doi":"10.1016/j.tins.2024.08.006","title":"Transformers and cortical waves: encoders for pulling in context across time","year":2024,"lang":"en","type":"review","venue":"Trends in Neurosciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fields Institute for Research in Mathematical Sciences; Western University","funders":"National Institute of Neurological Disorders and Stroke; National Eye Institute; Office of Naval Research; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; National Science Foundation; National Institutes of Health; National Institute on Drug Abuse; Canada First Research Excellence Fund","keywords":"Transformer; Neuroscience; Context (archaeology); Encoder; Psychology; Computer science; Electrical engineering; Engineering; Biology; Voltage","score_opus":0.11146961768645554,"score_gpt":0.3963183412108785,"score_spread":0.284848723524423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402914635","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010653662,0.9792499,0.000088977766,0.0005242542,0.005767811,0.0016791502,0.00060658914,0.00018765594,0.001242025],"genre_scores_gemma":[0.012578147,0.9845265,0.000017232576,0.0002468264,0.000055285793,0.00014343695,0.000010802774,0.000045108107,0.0023766728],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99683654,0.00018900551,0.0006924545,0.001279375,0.00031275078,0.0006898805],"domain_scores_gemma":[0.9987016,0.0009085091,0.00012136485,0.00015140687,0.0000072867215,0.000109853485],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00056798797,0.000413574,0.0009245322,0.00061141053,0.00018022837,0.0003017399,0.00039588453,0.00018089915,0.000013611255],"category_scores_gemma":[0.00037561194,0.000300468,0.00025650422,0.0017874172,0.0005976878,0.00027906868,0.000076525794,0.0006182273,0.00001390984],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012052283,0.000045698773,0.0000030132683,0.0012869543,0.0000013680809,0.000055802502,0.0002121453,0.0000065658114,0.0005743724,0.00042250764,0.000043468015,0.99733603],"study_design_scores_gemma":[0.00092140684,0.00105824,0.000042256233,0.006541053,0.00022869429,0.00033990227,0.0003111039,0.07111626,0.00016366408,0.0008578454,0.9168791,0.0015404306],"about_ca_topic_score_codex":0.000015424874,"about_ca_topic_score_gemma":0.00015145596,"teacher_disagreement_score":0.9957956,"about_ca_system_score_codex":0.000066428925,"about_ca_system_score_gemma":0.0000778698,"threshold_uncertainty_score":0.99994475},"labels":[],"label_agreement":null},{"id":"W4402970678","doi":"10.1101/2024.09.29.615736","title":"Convergent neural dynamical systems for task control in artificial networks and human brains","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Office of Naval Research; McMaster University","keywords":"Control reconfiguration; Task (project management); Computer science; Artificial intelligence; Economics; Embedded system; Management","score_opus":0.019817338067047687,"score_gpt":0.23734811221205115,"score_spread":0.21753077414500346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402970678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9849678,0.000530996,0.0046857623,0.0005664652,0.006190245,0.0021433074,0.00058275973,0.0003296088,0.000003023578],"genre_scores_gemma":[0.99797726,0.000064342355,0.000020800684,0.0005058102,0.0007892467,0.0005002524,8.1590485e-7,0.00013148162,0.000010010686],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99657017,0.00023347957,0.00073244545,0.001482044,0.0003042997,0.0006775582],"domain_scores_gemma":[0.99851763,0.00027381946,0.0002729075,0.00058431586,0.00011216207,0.00023915517],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00056284573,0.0005403122,0.00064536085,0.00031238256,0.00018029328,0.0005934614,0.00035147343,0.00051672896,0.000005249704],"category_scores_gemma":[0.00025886105,0.0005460831,0.00017103108,0.000368215,0.00017973265,0.00009414825,0.00041055772,0.0010793279,0.000010635879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009321018,0.00011218581,0.0009788597,0.000567967,0.000032122887,0.00011440713,0.000004662386,0.009102186,0.9629252,0.025867077,0.00019961441,0.0000025310728],"study_design_scores_gemma":[0.0007476793,0.00015034614,0.0063028117,0.0003133144,0.00009523702,1.07292855e-7,0.0000017541041,0.9851324,0.005566033,0.00005784976,0.0008830916,0.0007494036],"about_ca_topic_score_codex":0.00008350134,"about_ca_topic_score_gemma":0.000018522318,"teacher_disagreement_score":0.9760302,"about_ca_system_score_codex":0.00025286985,"about_ca_system_score_gemma":0.0001324774,"threshold_uncertainty_score":0.99969906},"labels":[],"label_agreement":null},{"id":"W4403028693","doi":"10.7554/elife.97545.4","title":"GABAergic inhibition in human hMT+ predicts visuo-spatial intelligence mediated through the frontal cortex","year":2024,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Horizon 2020 Framework Programme; National Natural Science Foundation of China","keywords":"Frontal cortex; Neuroscience; Perception; GABAergic; Psychology; Functional magnetic resonance imaging; Mediation; Sensory system; Cognitive psychology","score_opus":0.028282472124061535,"score_gpt":0.28385893847353355,"score_spread":0.255576466349472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403028693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99088174,0.00009950636,0.003187963,0.0010677116,0.001507146,0.00032448882,0.00003703594,0.0002064115,0.0026879942],"genre_scores_gemma":[0.9978639,0.00009876793,0.000007868443,0.0013319758,0.00026833234,0.000029520375,0.000034233555,0.00002026818,0.0003451189],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998563,0.0001111596,0.00027558516,0.00041445147,0.00039689743,0.00023890981],"domain_scores_gemma":[0.9994877,0.00023116615,0.000046816545,0.0001735304,0.000018470544,0.00004234767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017143805,0.00013837739,0.00010939511,0.00007093878,0.00015968396,0.00012564538,0.00010956682,0.000069428155,0.00015563304],"category_scores_gemma":[0.00021383679,0.0000975563,0.00005680998,0.00041466905,0.00012609505,0.00028322695,0.000086054104,0.00033448194,0.00022326112],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042396303,0.00010830456,0.0001835203,0.000039625516,0.0000052803375,0.000387753,0.0013674168,0.00041713013,0.97724146,0.014832526,0.0025538409,0.0028207714],"study_design_scores_gemma":[0.00072784355,0.0008140759,0.019594522,0.0005073207,0.00003418473,0.00023535137,0.00041191696,0.39047983,0.5551556,0.014544957,0.016723145,0.00077126885],"about_ca_topic_score_codex":0.00028535514,"about_ca_topic_score_gemma":0.00039752733,"teacher_disagreement_score":0.42208585,"about_ca_system_score_codex":0.00006972634,"about_ca_system_score_gemma":0.00003749507,"threshold_uncertainty_score":0.39782307},"labels":[],"label_agreement":null},{"id":"W4403096482","doi":"10.1162/imag_a_00320","title":"Valenced tactile information is evoked by neutral visual cues following emotional learning","year":2024,"lang":"en","type":"article","venue":"Imaging Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Psychology; Cognitive psychology; Communication","score_opus":0.011876656765609632,"score_gpt":0.27724810266729,"score_spread":0.2653714459016804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403096482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9816475,0.00005016002,0.006948411,0.0025414494,0.00504691,0.00021632742,0.000030582076,0.0007355364,0.0027831125],"genre_scores_gemma":[0.9942617,0.000030550447,0.000032819524,0.0041455836,0.00007435825,0.000012053143,0.000008161582,0.000019532426,0.0014152813],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979343,0.000096475145,0.00028592334,0.0006185114,0.00059220026,0.0004726117],"domain_scores_gemma":[0.9994226,0.00020745643,0.00008007542,0.00014191683,0.000029869845,0.000118092685],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00023272645,0.0002053656,0.00012319237,0.00023220076,0.0005931853,0.0011539191,0.0003202991,0.00003252887,0.000030271305],"category_scores_gemma":[0.00057502434,0.00019406072,0.00013425015,0.0009136066,0.00016297845,0.0040040207,0.000116026895,0.00042146863,0.00014643378],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006100969,0.000022411943,0.0010814676,0.000023315055,6.6760344e-7,0.000031487376,0.00021145656,0.00045759437,0.9862472,0.0007156655,0.0023649156,0.008837727],"study_design_scores_gemma":[0.00020998511,0.00011630726,0.0032425702,0.00009350487,0.000011917774,0.00013771618,0.000053975666,0.7435025,0.18828775,0.0005028416,0.06345198,0.00038896877],"about_ca_topic_score_codex":0.000021419415,"about_ca_topic_score_gemma":3.1367978e-7,"teacher_disagreement_score":0.79795945,"about_ca_system_score_codex":0.000064050815,"about_ca_system_score_gemma":0.000073658644,"threshold_uncertainty_score":0.999883},"labels":[],"label_agreement":null},{"id":"W4403110513","doi":"10.1523/jneurosci.1234-24.2024","title":"Challenges and Approaches in the Study of Neural Entrainment","year":2024,"lang":"en","type":"review","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche; Fondation Pour l'Audition","keywords":"Entrainment (biomusicology); Computer science; Medicine; Internal medicine","score_opus":0.3418908555875268,"score_gpt":0.3642570225702298,"score_spread":0.022366166982702995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403110513","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013853978,0.9838765,0.0000014242728,0.00031099608,0.0011364144,0.00062320736,0.0000039643105,0.000004877729,0.00018859544],"genre_scores_gemma":[0.12796938,0.8718187,0.0000022537404,0.00010362118,0.00006968273,0.000008936052,4.6835e-8,0.000012648928,0.000014729208],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972449,0.0006407124,0.0007601883,0.00042249696,0.00072920386,0.00020252884],"domain_scores_gemma":[0.9985972,0.0004476301,0.0006465997,0.00024042996,0.00001461087,0.000053540167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009989673,0.00023669538,0.00072611525,0.0003521087,0.000055674293,0.000103670485,0.0008126578,0.000051802137,4.2688725e-7],"category_scores_gemma":[0.00041056657,0.00011828579,0.00017753136,0.0005718659,0.00017619834,0.00019272356,0.00015913422,0.0007125789,6.4449625e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000072788557,0.0005196258,0.0000018585367,0.0019810693,0.0000032374355,0.00043777682,0.0013496517,0.000013084422,0.0005038861,0.00057752355,0.00001814197,0.9945869],"study_design_scores_gemma":[0.0020928602,0.020906143,0.0042111916,0.015946142,0.0025827137,0.029085293,0.007428058,0.007539294,0.00007374894,0.0018633319,0.9064274,0.0018438173],"about_ca_topic_score_codex":8.049209e-7,"about_ca_topic_score_gemma":0.0000034096151,"teacher_disagreement_score":0.9927431,"about_ca_system_score_codex":0.000026350659,"about_ca_system_score_gemma":0.000062233084,"threshold_uncertainty_score":0.48235545},"labels":[],"label_agreement":null},{"id":"W4403110520","doi":"10.1523/jneurosci.1236-24.2024","title":"Large-Scale Mechanistic Models of Brain Circuits with Biophysically and Morphologically Detailed Neurons","year":2024,"lang":"en","type":"review","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"Army Research Office; National Institute of Biomedical Imaging and Bioengineering; École Polytechnique Fédérale de Lausanne; National Institute on Deafness and Other Communication Disorders; National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; Krembil Foundation; HORIZON EUROPE Framework Programme; Board of the Swiss Federal Institutes of Technology; European Commission; National Institutes of Health; National Science Foundation","keywords":"Neuroscience; Computer science; Computational neuroscience; Connectome; Neuroinformatics; Computational model; Neuroimaging; Brain activity and meditation; Biological neural network; Brain stimulation; Magnetoencephalography; Electroencephalography; Psychology; Artificial intelligence; Functional connectivity","score_opus":0.06633089090927098,"score_gpt":0.30121217217832874,"score_spread":0.23488128126905777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403110520","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046257667,0.89401686,0.04557841,0.0017127718,0.007191241,0.0031782843,0.0008492938,0.00024685194,0.00096859375],"genre_scores_gemma":[0.041471135,0.95698726,0.00015662321,0.00084452116,0.000115485294,0.000009801276,9.430015e-7,0.0000695918,0.00034465658],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99659026,0.00032994384,0.0009711337,0.0007996062,0.0008757131,0.00043333517],"domain_scores_gemma":[0.99750936,0.00057926757,0.0011957671,0.00034385463,0.00012337131,0.0002483957],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00048311395,0.00045341323,0.001385207,0.00043194514,0.00014925473,0.00019335569,0.00085896975,0.0001386728,0.0000041282988],"category_scores_gemma":[0.0007440712,0.00026689644,0.00039094922,0.0012923139,0.0004173023,0.0004066618,0.0002719514,0.0009420872,0.0000053061717],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000093954004,0.0009843059,0.0000021481103,0.010066693,0.000033501445,0.0048571643,0.00018841382,0.0005182771,0.802182,0.01632113,0.00045353745,0.16429888],"study_design_scores_gemma":[0.004252981,0.03679638,0.000317495,0.052394535,0.008738859,0.09472193,0.00012654813,0.16939251,0.003815335,0.046570137,0.5765158,0.0063574887],"about_ca_topic_score_codex":4.6336388e-7,"about_ca_topic_score_gemma":0.0000011192309,"teacher_disagreement_score":0.79836667,"about_ca_system_score_codex":0.000038421415,"about_ca_system_score_gemma":0.00032195778,"threshold_uncertainty_score":0.9999783},"labels":[],"label_agreement":null},{"id":"W4403116527","doi":"10.1101/2024.10.03.616355","title":"Conflict neurons in cingulate cortex of macaques","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Neuroscience; Cingulate cortex; Anterior cingulate cortex; Psychology; Cortex (anatomy); Macaque; Cognition; Central nervous system","score_opus":0.02304392408095588,"score_gpt":0.24207288756113202,"score_spread":0.21902896348017614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403116527","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99547064,0.000289279,0.0000448209,0.00029031798,0.0026341814,0.0005889342,0.00027615516,0.00032870763,0.000076976125],"genre_scores_gemma":[0.9987461,0.0003490953,0.00013295539,0.00039203482,0.00017162289,0.00006231401,1.2898337e-7,0.00011911975,0.000026635802],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99708486,0.00017209248,0.0006565674,0.0012220027,0.0003970719,0.0004674009],"domain_scores_gemma":[0.99833643,0.00015426193,0.00034424706,0.0009008047,0.00011995817,0.00014428662],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030972378,0.00046010825,0.00055785786,0.0005138095,0.00006133412,0.00016805553,0.0005264487,0.00034783507,0.000038041424],"category_scores_gemma":[0.0004102728,0.0004738769,0.00017701188,0.0007608028,0.00017287953,0.000088704764,0.0008185788,0.0011569455,0.000068879104],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025854255,0.00007585076,0.000901377,0.0004380983,0.000013059504,0.00019703782,0.000008472989,0.00013395095,0.9937769,0.0043256064,0.00010081198,0.0000029556115],"study_design_scores_gemma":[0.00033509312,0.000095907744,0.07465728,0.0007167188,0.000064674976,6.334433e-8,0.0000010189063,0.01109249,0.909806,0.00006780086,0.002479973,0.000682939],"about_ca_topic_score_codex":0.00010291124,"about_ca_topic_score_gemma":0.0000059030244,"teacher_disagreement_score":0.08397088,"about_ca_system_score_codex":0.00013557564,"about_ca_system_score_gemma":0.00028726476,"threshold_uncertainty_score":0.9997713},"labels":[],"label_agreement":null},{"id":"W4403153431","doi":"10.1101/2024.10.04.616712","title":"Brain-like neural dynamics for behavioral control develop through reinforcement learning","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada","keywords":"Reinforcement learning; Dynamics (music); Reinforcement; Control (management); Psychology; Artificial intelligence; Computer science; Cognitive science; Cognitive psychology; Social psychology","score_opus":0.026859841752687477,"score_gpt":0.25891283733749165,"score_spread":0.2320529955848042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403153431","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94402665,0.0002423751,0.0362439,0.002904188,0.01106781,0.0032896167,0.0006189478,0.0015634866,0.000043054857],"genre_scores_gemma":[0.9951928,0.00005167914,0.0009831057,0.002094489,0.00053369807,0.00067529187,0.0000031603022,0.00027149788,0.00019424422],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99552685,0.0001933652,0.00084868324,0.001815105,0.0006257506,0.0009902215],"domain_scores_gemma":[0.9975622,0.00036603157,0.00052471145,0.00088578585,0.00042551322,0.0002357503],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005360377,0.0008496627,0.00071061414,0.00026925592,0.0004871486,0.0006977591,0.00072906807,0.00058314396,0.000029184092],"category_scores_gemma":[0.00074302405,0.00087583484,0.00036172508,0.00069708214,0.00017800981,0.00025856553,0.0008651895,0.0017512997,0.00008351849],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023005254,0.00017091236,0.0006221157,0.0009464091,0.00010055752,0.00018228592,0.000035595865,0.016360588,0.96095926,0.018732704,0.0016298131,0.000029682156],"study_design_scores_gemma":[0.0028117618,0.00085926714,0.0021609897,0.0006932863,0.0005752325,3.8590719e-7,0.000012471483,0.8162262,0.1430204,0.00014617271,0.03035881,0.0031350355],"about_ca_topic_score_codex":0.00005409935,"about_ca_topic_score_gemma":0.000009686989,"teacher_disagreement_score":0.81793886,"about_ca_system_score_codex":0.0007239506,"about_ca_system_score_gemma":0.0005517667,"threshold_uncertainty_score":0.99936926},"labels":[],"label_agreement":null},{"id":"W4403209839","doi":"10.1523/jneurosci.1252-24.2024","title":"Encoding of Vibrotactile Stimuli by Mechanoreceptors in Rodent Glabrous Skin","year":2024,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Canadian Institutes of Health Research; Hospital for Sick Children","keywords":"Stimulus (psychology); Mechanoreceptor; Rodent; Somatosensory system; Neuroscience; Population; Biology; Neural coding; Sensory system; Psychology; Medicine","score_opus":0.02798169096176568,"score_gpt":0.28287751611407247,"score_spread":0.2548958251523068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403209839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99369824,0.00009916415,0.0016808141,0.00050430256,0.0035252196,0.00010362329,0.000012042684,0.000018640318,0.00035795415],"genre_scores_gemma":[0.9989685,0.00021695072,0.00006634926,0.0003374612,0.00006262293,0.0000013976858,1.2121782e-7,0.000013067628,0.0003335632],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981539,0.00010706691,0.0005190714,0.00031635386,0.0006522505,0.00025134342],"domain_scores_gemma":[0.99919593,0.00028679633,0.00025215384,0.00012513614,0.00004156423,0.00009842933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040768413,0.00012629962,0.0002076216,0.00037053134,0.00006157608,0.000121605364,0.00044303053,0.000039916147,0.000023140698],"category_scores_gemma":[0.0006940131,0.00009993248,0.00010806167,0.0010929377,0.00011849679,0.000697574,0.0000761066,0.00035787086,0.0000045309102],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002454582,0.000075414544,0.00014441964,0.000022963914,4.731906e-7,0.00011367341,0.00009909908,0.0007763845,0.994341,0.00041705818,0.0005553125,0.0034296464],"study_design_scores_gemma":[0.0002850819,0.0008438744,0.0015463507,0.00019482126,0.000008774243,0.0005328267,0.00004566742,0.053431146,0.9339236,0.00074996083,0.008261361,0.00017656383],"about_ca_topic_score_codex":0.000014044527,"about_ca_topic_score_gemma":0.000003155309,"teacher_disagreement_score":0.060417436,"about_ca_system_score_codex":0.00007708235,"about_ca_system_score_gemma":0.00008687384,"threshold_uncertainty_score":0.4075128},"labels":[],"label_agreement":null},{"id":"W4403319443","doi":"10.1093/cercor/bhae407","title":"Functional specialization and distributed processing across marmoset lateral prefrontal subregions","year":2024,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada First Research Excellence Fund","keywords":"Marmoset; Prefrontal cortex; Neuroscience; Functional specialization; Psychology; Primate; Working memory; Callithrix; Ventrolateral prefrontal cortex; Cognitive psychology; Cognition; Biology","score_opus":0.029799228955800526,"score_gpt":0.26777598589100926,"score_spread":0.23797675693520873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403319443","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990635,0.00008099063,0.0061639138,0.00071211054,0.0012088608,0.000175238,0.00028982697,0.00025049082,0.00048357653],"genre_scores_gemma":[0.99676174,0.000015414138,0.000018021408,0.00028788036,0.00032355342,0.000010633436,0.00025409437,0.000020401605,0.0023082749],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989193,0.00003331291,0.00016197748,0.0004461491,0.00018901666,0.00025021308],"domain_scores_gemma":[0.9997317,0.00004031529,0.000036433037,0.000088935514,0.000025355665,0.00007724509],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005806451,0.00013702754,0.000098313205,0.0000408995,0.00031754666,0.0004224129,0.00006648349,0.000062738676,0.00016960688],"category_scores_gemma":[0.000043454274,0.00011803138,0.000044759738,0.00029513988,0.00011366869,0.00048568365,0.00007214718,0.00015092663,0.000047623354],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042392028,0.00024076081,0.021439888,0.00054431317,0.00003555617,0.00031039584,0.00129476,0.00023111778,0.7718017,0.040628612,0.022534722,0.14051422],"study_design_scores_gemma":[0.00089638395,0.00024750503,0.7088408,0.00016980816,0.000046573376,0.0006614591,0.00012719174,0.23999482,0.0074598487,0.0077456073,0.03309613,0.0007138779],"about_ca_topic_score_codex":0.000011233135,"about_ca_topic_score_gemma":0.000031447707,"teacher_disagreement_score":0.7643419,"about_ca_system_score_codex":0.000058371483,"about_ca_system_score_gemma":0.00003669824,"threshold_uncertainty_score":0.481318},"labels":[],"label_agreement":null},{"id":"W4403327784","doi":"10.1038/s42003-024-07019-2","title":"Neural activity for complex sounds in the marmoset anterior cingulate cortex","year":2024,"lang":"en","type":"article","venue":"Communications Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research; Canada First Research Excellence Fund; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Marmoset; Anterior cingulate cortex; Neuroscience; Neural activity; Cingulate cortex; Psychology; Cortex (anatomy); Auditory cortex; Communication; Biology; Cognitive psychology; Cognition; Central nervous system; Paleontology","score_opus":0.13429638010415312,"score_gpt":0.38004215088030596,"score_spread":0.24574577077615284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403327784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9764378,0.0002393717,0.0014185659,0.018933313,0.0005028776,0.0005452924,0.00015438451,0.00010381916,0.0016645433],"genre_scores_gemma":[0.9979718,0.00015733096,0.00017850344,0.0013910844,0.000029592225,0.00010353041,0.000050678813,0.000008537753,0.00010899744],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911016,0.00034078464,0.00014256539,0.00021128207,0.000033020413,0.00016220177],"domain_scores_gemma":[0.99792504,0.001252296,0.000037211783,0.00075694517,0.0000141024,0.000014379294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024629856,0.00007989685,0.00010187421,0.000079508936,0.00024512547,0.00007397352,0.0007657978,0.000047422607,0.0000130993985],"category_scores_gemma":[0.00015706764,0.00005543999,0.00005990984,0.00028113252,0.00025400115,0.00007086677,0.00019564676,0.00020464102,0.000014059646],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028384558,0.00007276076,0.00056756346,0.000015247829,0.0000035929193,0.0000017543626,0.0001995864,0.000005979282,0.9306339,0.036231596,0.00056464405,0.031675],"study_design_scores_gemma":[0.00035514717,0.00029595234,0.065371335,0.000024646983,0.00001659571,0.000103738035,0.000069708534,0.787034,0.001034572,0.02276594,0.12271032,0.0002180795],"about_ca_topic_score_codex":0.000029192399,"about_ca_topic_score_gemma":0.00013803017,"teacher_disagreement_score":0.92959934,"about_ca_system_score_codex":0.000024403686,"about_ca_system_score_gemma":0.000016613123,"threshold_uncertainty_score":0.2260777},"labels":[],"label_agreement":null},{"id":"W4403469262","doi":"10.1101/2024.10.15.618398","title":"Synchrony dynamics underlie irregular neocortical spiking","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Nautical Research Society","funders":"","keywords":"Neuroscience; Nerve net; Electrophysiology; Cortical neurons; Sensory system; Biology; Dynamics (music); Psychology","score_opus":0.018964166623676847,"score_gpt":0.22995628809962795,"score_spread":0.21099212147595112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403469262","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98118705,0.00045027552,0.005303075,0.0018984253,0.00810071,0.0010441416,0.00034730282,0.0015238371,0.00014518722],"genre_scores_gemma":[0.99702424,0.00015195785,0.000774853,0.00080002495,0.0008020873,0.0001328788,4.905926e-7,0.00026070702,0.00005278723],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9953785,0.00019009184,0.0006953,0.0020702332,0.00075930875,0.0009065656],"domain_scores_gemma":[0.9974611,0.0002009863,0.0003041971,0.0015009015,0.00016008722,0.00037274006],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004208101,0.00079166493,0.00063152605,0.0004024008,0.0002828366,0.0008417203,0.00083418575,0.00071267737,0.000075417855],"category_scores_gemma":[0.00056762795,0.0008109265,0.00033537997,0.0008221024,0.00028530764,0.00016514931,0.001662475,0.0019995589,0.00047127553],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024076,0.00012623453,0.0002876196,0.00066314236,0.0000500963,0.0005528649,0.0000033424897,0.00034735212,0.930162,0.067410745,0.0003513122,0.000021207068],"study_design_scores_gemma":[0.0008125616,0.00027124246,0.011587502,0.0019175246,0.00058178464,6.678787e-7,0.0000051942757,0.4483812,0.5238202,0.0013567201,0.0076184366,0.0036469446],"about_ca_topic_score_codex":0.000026552794,"about_ca_topic_score_gemma":0.0000047830126,"teacher_disagreement_score":0.44803384,"about_ca_system_score_codex":0.0008995502,"about_ca_system_score_gemma":0.00055911415,"threshold_uncertainty_score":0.9994342},"labels":[],"label_agreement":null},{"id":"W4403489004","doi":"10.7554/elife.95764.3.sa0","title":"Author response: Shortcutting from self-motion signals: quantifying trajectories and active sensing in an open maze","year":2024,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Motion (physics); Computer science; Artificial intelligence; Computer vision","score_opus":0.16521407701527624,"score_gpt":0.39984926817145494,"score_spread":0.2346351911561787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403489004","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84210676,0.0055721765,0.0012147175,0.12232009,0.016482783,0.006135893,0.0024908802,0.0012412901,0.002435383],"genre_scores_gemma":[0.795689,0.0021551044,0.005176234,0.011534165,0.0015329568,0.00012891357,0.0013236116,0.00050811813,0.18195193],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99575657,0.0012247511,0.0006071616,0.0015428461,0.0004816381,0.00038704404],"domain_scores_gemma":[0.99764067,0.0015041254,0.00024560466,0.00039919076,0.00008831535,0.00012211785],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015277911,0.00046124068,0.00072036736,0.00031045012,0.00019114131,0.0010174372,0.00039892536,0.000298589,0.00013442068],"category_scores_gemma":[0.0013864401,0.00040044868,0.00008279773,0.00066837826,0.000060792972,0.00077429495,0.00049481366,0.0009362598,0.000021609614],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011338453,0.00021510833,0.00007057328,0.0031682055,0.00007264325,0.0008141981,0.0028905557,0.000029591076,0.78231865,0.0006490409,0.060918458,0.14771914],"study_design_scores_gemma":[0.0011886809,0.0013804126,0.00444171,0.02868056,0.00094049366,0.00032330974,0.0015300432,0.16601896,0.032552615,0.006333899,0.75258,0.0040293084],"about_ca_topic_score_codex":0.0010185655,"about_ca_topic_score_gemma":0.0017631828,"teacher_disagreement_score":0.749766,"about_ca_system_score_codex":0.00021102837,"about_ca_system_score_gemma":0.00017296817,"threshold_uncertainty_score":0.99984473},"labels":[],"label_agreement":null},{"id":"W4403489064","doi":"10.7554/elife.95764.3","title":"Shortcutting from self-motion signals: quantifying trajectories and active sensing in an open maze","year":2024,"lang":"en","type":"preprint","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Motion (physics); Computer science; Computer vision","score_opus":0.10913942213007734,"score_gpt":0.34802523639380184,"score_spread":0.23888581426372452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403489064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964698,0.00008328512,0.00029704487,0.00028618827,0.0016748206,0.0005624075,0.00012317713,0.00018798918,0.00031527216],"genre_scores_gemma":[0.998165,0.00008733579,0.00096572173,0.0003074043,0.0003216011,0.000012264607,0.000056049106,0.000049333736,0.000035294586],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99770844,0.00030205373,0.00033568052,0.0011035376,0.00030042304,0.00024983782],"domain_scores_gemma":[0.9991164,0.0003270484,0.00015528433,0.00027961135,0.00004080464,0.000080806545],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038119094,0.00027289195,0.00033615518,0.00016950084,0.00012337016,0.0009950659,0.00023270224,0.00020478135,0.000012208916],"category_scores_gemma":[0.00028345283,0.00026782157,0.00004450634,0.00021308336,0.000040954896,0.00034847882,0.0013839954,0.0009054379,0.000010443234],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001025312,0.00008846085,0.0014196332,0.00018155338,0.000023998988,0.00024887043,0.0059110643,0.0007880046,0.9581101,0.00059601746,0.000027674678,0.032502104],"study_design_scores_gemma":[0.0006012287,0.00022847776,0.026799284,0.0017084609,0.00013734857,0.000049988746,0.0016341051,0.73500687,0.20792833,0.024069289,0.00045963362,0.0013769806],"about_ca_topic_score_codex":0.00086709973,"about_ca_topic_score_gemma":0.0006424172,"teacher_disagreement_score":0.75018173,"about_ca_system_score_codex":0.00012546788,"about_ca_system_score_gemma":0.000083174804,"threshold_uncertainty_score":0.9999774},"labels":[],"label_agreement":null},{"id":"W4403507800","doi":"10.1016/j.tics.2024.09.013","title":"Large-scale interactions in predictive processing: oscillatory versus transient dynamics","year":2024,"lang":"en","type":"review","venue":"Trends in Cognitive Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"HORIZON EUROPE Framework Programme; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Fondo Nacional de Desarrollo Científico y Tecnológico; Agencia Nacional de Investigación y Desarrollo; Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft; European Commission","keywords":"Psychology; Transient (computer programming); Scale (ratio); Dynamics (music); Cognitive psychology; Neuroscience; Cognitive science; Computer science; Physics","score_opus":0.2194262513135378,"score_gpt":0.4465059595632982,"score_spread":0.2270797082497604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403507800","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014660453,0.89945155,0.00022174393,0.00022362919,0.0066300486,0.00097124773,0.0014865395,0.00023813202,0.08931105],"genre_scores_gemma":[0.04823962,0.9486538,0.00002770383,0.00008869664,0.00016056305,0.0003032171,0.00009748058,0.000055618788,0.0023732884],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99637574,0.00030510986,0.0006452837,0.0014929258,0.00056966644,0.0006112796],"domain_scores_gemma":[0.9987493,0.00074102805,0.00022896462,0.00014241804,0.00004472654,0.000093569324],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005903245,0.00047217536,0.0008031357,0.00206109,0.00025126227,0.00023572471,0.00045643584,0.00014596112,0.00008988306],"category_scores_gemma":[0.00029452183,0.00036211853,0.0002940569,0.005337107,0.0006717882,0.00051046745,0.00014996146,0.0010404029,0.0000575852],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004684878,0.00019427144,0.0000117634145,0.0007765421,0.000007949252,0.000070443384,0.0006638547,0.000014778764,0.000002554914,0.00033531632,0.000081571845,0.9977941],"study_design_scores_gemma":[0.0035083755,0.0022655283,0.0003966512,0.07271107,0.0017932084,0.00028264956,0.008117756,0.20716701,0.00003069276,0.0017628263,0.69828737,0.0036768524],"about_ca_topic_score_codex":0.000017680935,"about_ca_topic_score_gemma":0.0025053765,"teacher_disagreement_score":0.99411726,"about_ca_system_score_codex":0.000503177,"about_ca_system_score_gemma":0.00035197544,"threshold_uncertainty_score":0.99988306},"labels":[],"label_agreement":null},{"id":"W4403582933","doi":"10.1145/3686015.3689352","title":"Fitness Value of Subjective Information for Living Organisms","year":2024,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Universitas Brawijaya","keywords":"Value (mathematics); Computer science; Machine learning","score_opus":0.014969746997943966,"score_gpt":0.24990612555872158,"score_spread":0.23493637856077762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403582933","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79470694,0.000006450072,0.19393547,0.00036729683,0.0013605931,0.0003810766,0.00003445765,0.0001779825,0.009029744],"genre_scores_gemma":[0.9987017,0.0000038053195,0.00023591019,0.0002570046,0.000025856754,0.000009947769,0.00000203337,0.0000050934095,0.00075864536],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996264,0.000012596545,0.00011024012,0.00009001095,0.00008582388,0.00007493982],"domain_scores_gemma":[0.9994736,0.00040391518,0.000023803006,0.00005573832,0.000029105215,0.000013893659],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000093910065,0.000043920118,0.00004887099,0.00006494179,0.00004205335,0.000054976226,0.00005250294,0.000022831937,0.00004918662],"category_scores_gemma":[0.00034558034,0.000033978784,0.000033364868,0.00019057622,0.000017409131,0.00048978516,0.000022140328,0.00003504087,0.000023420489],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011624229,0.000014761124,0.000045373286,0.0001482562,0.0000031139596,4.9823643e-7,0.0005563751,0.0003079404,0.57128906,0.41537607,0.00039545278,0.0118514765],"study_design_scores_gemma":[0.000088371875,0.00017798439,0.0014929683,0.00005806911,0.0000089779205,0.000010146353,0.00013719178,0.28368646,0.70191884,0.009687129,0.0026264165,0.00010742217],"about_ca_topic_score_codex":0.000011105742,"about_ca_topic_score_gemma":0.0000015012761,"teacher_disagreement_score":0.40568894,"about_ca_system_score_codex":0.000017457194,"about_ca_system_score_gemma":0.000022467428,"threshold_uncertainty_score":0.13856146},"labels":[],"label_agreement":null},{"id":"W4403597622","doi":"10.1162/jocn_a_02261","title":"Rhythm-based Temporal Expectations: Unique Contributions of Predictability and Periodicity","year":2024,"lang":"en","type":"article","venue":"Journal of Cognitive Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Norges Forskningsråd; Réseau de cancérologie Rossy","keywords":"Entrainment (biomusicology); Predictability; Rhythm; Aperiodic graph; Psychology; Time perception; Perception; Cognitive psychology; Communication; Neuroscience; Mathematics; Physics","score_opus":0.024693322550599296,"score_gpt":0.3033374017514993,"score_spread":0.2786440792009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403597622","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97691566,0.00013626357,0.020770479,0.000920966,0.0007218828,0.00018985204,0.00017567755,0.000026192825,0.00014304082],"genre_scores_gemma":[0.999338,0.000060953913,0.00005640716,0.0004549394,0.000051176332,0.000004659961,8.527126e-7,0.0000066832895,0.00002635778],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99850047,0.00023045612,0.00041589118,0.00027575056,0.00041614636,0.0001612685],"domain_scores_gemma":[0.99798626,0.0012318811,0.00024068587,0.00007608187,0.00034927367,0.0001158211],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041890444,0.0001091395,0.00018846891,0.00021920637,0.00017141365,0.00011550823,0.00012569495,0.00003719452,0.000011558388],"category_scores_gemma":[0.0060304995,0.0000857511,0.00009767366,0.000641962,0.00077460904,0.0005384223,0.000035762307,0.00029391146,0.0000010571445],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015319945,0.00019115332,0.0027351812,0.000073100055,0.0000024615044,0.00021086814,0.00029198406,0.000075053715,0.99173474,0.0023723554,0.000054498007,0.0021054305],"study_design_scores_gemma":[0.0013577724,0.0030159908,0.06522848,0.00082736096,0.00009706696,0.0016895693,0.00045837084,0.084787436,0.8373898,0.00404765,0.00076859625,0.00033187628],"about_ca_topic_score_codex":0.000003835651,"about_ca_topic_score_gemma":0.000001806416,"teacher_disagreement_score":0.15434489,"about_ca_system_score_codex":0.00003366051,"about_ca_system_score_gemma":0.00031264417,"threshold_uncertainty_score":0.72195065},"labels":[],"label_agreement":null},{"id":"W4403598308","doi":"10.1371/journal.pcbi.1012505","title":"Abrupt and spontaneous strategy switches emerge in simple regularised neural networks","year":2024,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"HORIZON EUROPE European Research Council; H2020 European Research Council; HORIZON EUROPE Framework Programme; Horizon 2020 Framework Programme; International Max Planck Research School for Advanced Methods in Process and Systems Engineering; Max-Planck-Gesellschaft; European Commission; Gatsby Charitable Foundation; Bundesministerium für Bildung und Forschung; Australian Government; Wellcome Trust","keywords":"Gating; Artificial neural network; Computer science; Artificial intelligence; Task (project management); Cognition; Gradient descent; Mechanism (biology); Noise (video); Simple (philosophy); Perspective (graphical); Biological neural network; Machine learning; Cognitive psychology; Neuroscience; Psychology; Physics; Engineering","score_opus":0.028797910588998426,"score_gpt":0.267916261832365,"score_spread":0.23911835124336658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403598308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963103,0.00018667895,0.0018053513,0.0009920493,0.00029493717,0.00014376207,0.000021649092,0.00009115023,0.00015413157],"genre_scores_gemma":[0.99915016,0.000021651254,0.000057504752,0.00053060905,0.00008932207,0.000009881419,0.00006906354,0.000011781306,0.000060028826],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903756,0.00009212927,0.00019547714,0.00039590997,0.00007606304,0.00020286145],"domain_scores_gemma":[0.99928844,0.0005630093,0.000029097882,0.00005986164,0.000016372735,0.000043229673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000070130045,0.00011341217,0.00012833554,0.00011067038,0.00006506742,0.00005615031,0.00007770868,0.000077548735,0.00004253975],"category_scores_gemma":[0.00006934912,0.00009821623,0.000029476869,0.00022661513,0.00008308884,0.00007749284,0.000047880032,0.00018531589,0.000008242799],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021160518,0.00022255011,0.0035461797,0.00008767158,0.000032364427,0.0016203695,0.00014448156,0.57593256,0.2128754,0.16234468,0.0004309833,0.042551197],"study_design_scores_gemma":[0.00012524222,0.00013870846,0.0035945978,0.0000063960238,0.0000043118275,0.0003142323,0.0000066072075,0.9573784,0.00026655348,0.037864342,0.00019361511,0.00010700271],"about_ca_topic_score_codex":0.000015785932,"about_ca_topic_score_gemma":0.000030550036,"teacher_disagreement_score":0.38144585,"about_ca_system_score_codex":0.0000230007,"about_ca_system_score_gemma":0.000021709648,"threshold_uncertainty_score":0.40051416},"labels":[],"label_agreement":null},{"id":"W4403646807","doi":"10.1101/2024.10.19.619207","title":"Structural compromise in spiking cortex and connected networks","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Compromise; Neuroscience; Cortex (anatomy); Computer science; Psychology; Political science","score_opus":0.01772796894841968,"score_gpt":0.2229541092894972,"score_spread":0.2052261403410775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403646807","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99491894,0.0005331454,0.00010296083,0.00020241512,0.0030547625,0.0006893881,0.00008817842,0.00039879433,0.000011417514],"genre_scores_gemma":[0.99878097,0.00016627568,0.0001813174,0.00037364374,0.00032532134,0.0000624204,2.6288376e-7,0.00010375963,0.000006044292],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971958,0.000154527,0.00047622493,0.0013727184,0.00027252262,0.0005282394],"domain_scores_gemma":[0.9987563,0.00016428402,0.00022781505,0.000593371,0.0000744264,0.00018379354],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026113476,0.0004967874,0.00048640356,0.00030834146,0.00014071874,0.00047803367,0.000340639,0.0004031835,0.00002216906],"category_scores_gemma":[0.00026376615,0.0004956568,0.00008773379,0.00060971593,0.0001602292,0.00011090429,0.00089991675,0.001446056,0.000016214632],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000427548,0.000024194103,0.0026081167,0.00028863348,0.00001580627,0.00029348774,0.0000067195906,0.0011891285,0.9924484,0.003027166,0.000046699774,0.000008877163],"study_design_scores_gemma":[0.0009190112,0.00009237329,0.23070556,0.0009864499,0.0000858884,2.735962e-7,0.0000021934488,0.6924328,0.07290934,0.0001132042,0.00038150646,0.0013714124],"about_ca_topic_score_codex":0.000055551893,"about_ca_topic_score_gemma":0.000009743238,"teacher_disagreement_score":0.9195391,"about_ca_system_score_codex":0.00017257854,"about_ca_system_score_gemma":0.00012383815,"threshold_uncertainty_score":0.9997495},"labels":[],"label_agreement":null},{"id":"W4403654753","doi":"10.1162/netn_a_00420","title":"Whole-brain modular dynamics at rest predict sensorimotor learning performance","year":2024,"lang":"en","type":"article","venue":"Network Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Rest (music); Modular design; Dynamics (music); Computer science; Psychology; Neuroscience; Artificial intelligence; Cognitive psychology; Physics","score_opus":0.01883393322680531,"score_gpt":0.234715914183966,"score_spread":0.21588198095716069,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403654753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98462754,0.00007975741,0.002195307,0.003387571,0.006106668,0.00036048083,0.000025672527,0.0008196036,0.0023973929],"genre_scores_gemma":[0.9708864,0.00013855447,0.000057802088,0.0028510978,0.0006230427,0.000025200328,0.000010076445,0.00006145996,0.025346363],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99644524,0.00023387674,0.0003406892,0.0013230101,0.0007567568,0.0009004019],"domain_scores_gemma":[0.99873215,0.00048013416,0.00009753064,0.00044327535,0.000030522788,0.00021639798],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004896011,0.00031511267,0.00021132032,0.00013994589,0.0010556193,0.00043899246,0.00056147005,0.000106261214,0.000026581432],"category_scores_gemma":[0.0006438623,0.00028376476,0.0001169023,0.001622851,0.0003872901,0.000668097,0.00037705482,0.0007302812,0.00024409122],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051455205,0.00003201133,0.0026404893,0.00007458508,0.0000013152905,0.00025709177,0.000047415957,0.22556756,0.75381863,0.0026725882,0.006367354,0.008469484],"study_design_scores_gemma":[0.000106549494,0.00031260063,0.009138692,0.000078623954,0.0000068470645,0.00019183573,0.0000031239624,0.86653847,0.0026908615,0.00014040378,0.12052455,0.000267477],"about_ca_topic_score_codex":0.000004427542,"about_ca_topic_score_gemma":0.0000080120235,"teacher_disagreement_score":0.7511278,"about_ca_system_score_codex":0.00021954761,"about_ca_system_score_gemma":0.000067322886,"threshold_uncertainty_score":0.99996144},"labels":[],"label_agreement":null},{"id":"W4403862767","doi":"10.1523/jneurosci.1018-23.2024","title":"Effects of Ketamine on Frontoparietal Interactions in a Rule-Based Antisaccade Task in Macaque Monkeys","year":2024,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials; Western University; York University","funders":"Canadian Institutes of Health Research; Radboud Universiteit; Canada Research Chairs","keywords":"Antisaccade task; Macaque; Neuroscience; Psychology; Cognition; NMDA receptor; Ketamine; Prefrontal cortex; Supplementary eye field; Saccadic masking; Eye movement; Cognitive psychology; Receptor; Medicine; Internal medicine","score_opus":0.02133164584149959,"score_gpt":0.2879191468117696,"score_spread":0.26658750097027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403862767","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954042,0.000029152536,0.0010325148,0.0009574059,0.0022157214,0.00014898385,0.000006604825,0.000013137626,0.00019227745],"genre_scores_gemma":[0.9989425,0.000060335482,0.000046126985,0.0007592631,0.000050842667,0.00000354532,1.649121e-7,0.000011453697,0.00012578382],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983729,0.00015866697,0.00048818366,0.00031168535,0.00044203838,0.00022649362],"domain_scores_gemma":[0.998848,0.0007355113,0.0002019617,0.000115393916,0.00002498674,0.00007411175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017006883,0.00013192806,0.00023027282,0.00071672467,0.00003948261,0.00008564658,0.0003206036,0.000030737036,0.000005383923],"category_scores_gemma":[0.0011487409,0.00010540461,0.00010989393,0.0010593508,0.00012923719,0.0005265334,0.00003809446,0.0005936695,0.000004633172],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000083684325,0.00024364608,0.00069553184,0.000059543443,4.3570913e-7,0.00092341175,0.00005146477,0.003279384,0.99289834,0.00025916353,0.00003118339,0.0014741772],"study_design_scores_gemma":[0.00092346704,0.0010011976,0.14398256,0.00066764717,0.000011699918,0.0003390859,0.000011095886,0.15465505,0.6965211,0.0005196309,0.0011821438,0.00018531067],"about_ca_topic_score_codex":0.00002147643,"about_ca_topic_score_gemma":0.00001940459,"teacher_disagreement_score":0.29637727,"about_ca_system_score_codex":0.000086902255,"about_ca_system_score_gemma":0.000103693485,"threshold_uncertainty_score":0.42982754},"labels":[],"label_agreement":null},{"id":"W4403980520","doi":"10.51656/aqb3ss93","title":"Oscillations gamma dans le cortex auditif comme marqueurs de l’intégration des modulations spectro-temporelles de stimuli naturels","year":2024,"lang":"fr","type":"article","venue":"Psycause revue scientifique étudiante de l École de psychologie de l Université Laval","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"McGill University; Université Laval","funders":"","keywords":"Biology; INT; Computer science","score_opus":0.044905248596879055,"score_gpt":0.28332867339072254,"score_spread":0.23842342479384349,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403980520","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8164797,0.0017419964,0.13947809,0.030863438,0.003946174,0.0009149141,0.00082313595,0.0005536171,0.0051989546],"genre_scores_gemma":[0.9674483,0.005499849,0.005868162,0.0013440597,0.0005199189,0.00004046256,0.0001236425,0.00011343419,0.01904218],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.994685,0.0011291517,0.00056576484,0.0015376912,0.00038478762,0.0016976107],"domain_scores_gemma":[0.9971832,0.00079395605,0.00027815992,0.0008441343,0.0002488921,0.00065163185],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0018389894,0.00056194677,0.00042265482,0.0007936542,0.0015579596,0.0008208887,0.0008966935,0.0006318781,0.00014095989],"category_scores_gemma":[0.00069462915,0.0006846067,0.00046352673,0.0027174335,0.0010642254,0.00089689065,0.00020304532,0.0013315047,0.00010182733],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020701403,0.00090698135,0.027018756,0.0006845405,0.00019201009,0.0040581273,0.005556217,0.038591757,0.7795077,0.1033381,0.033766028,0.0061727865],"study_design_scores_gemma":[0.001650499,0.00039958066,0.3154786,0.0017677844,0.0005240064,0.004240365,0.0018394056,0.5836969,0.021972448,0.043304596,0.023695638,0.0014301834],"about_ca_topic_score_codex":0.0010833264,"about_ca_topic_score_gemma":0.004686135,"teacher_disagreement_score":0.7575352,"about_ca_system_score_codex":0.0032183605,"about_ca_system_score_gemma":0.0012766088,"threshold_uncertainty_score":0.99974185},"labels":[],"label_agreement":null},{"id":"W4404008076","doi":"10.1016/j.tins.2024.10.003","title":"The claustrum and synchronized brain states","year":2024,"lang":"en","type":"review","venue":"Trends in Neurosciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta","funders":"","keywords":"Claustrum; Neuroscience; Memory consolidation; Wakefulness; Cognition; Brain activity and meditation; Psychology; Neural activity; Electroencephalography; Hippocampus","score_opus":0.07984618174055837,"score_gpt":0.37436518177997496,"score_spread":0.2945190000394166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404008076","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002134634,0.9920484,0.0000014163676,0.0016421595,0.0046850406,0.00026252028,0.00006359654,0.00011239815,0.0009710148],"genre_scores_gemma":[0.00036018871,0.986093,0.0000033460587,0.00028967942,0.00008682515,0.00006278683,0.000004758635,0.00003384138,0.0130656045],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969937,0.00042123793,0.00052006246,0.0011089026,0.000413906,0.00054218643],"domain_scores_gemma":[0.9977292,0.0016390302,0.00018876673,0.0003460112,0.0000062530407,0.00009075577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005101882,0.0004081436,0.00062809844,0.0005003126,0.00042578686,0.00082244264,0.00073644624,0.00011853286,0.000014334953],"category_scores_gemma":[0.00050858787,0.000212599,0.00018598154,0.0022883874,0.0008427802,0.0001849166,0.00032742415,0.0006781458,0.0000320719],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002393703,0.000013116255,9.353405e-7,0.00049833965,0.0000013513379,0.000063607135,0.000016761405,0.0000015203002,0.000055213368,0.0019694772,0.002073639,0.99530363],"study_design_scores_gemma":[0.00006261531,0.000121441626,0.0000066752523,0.0007918693,0.000051253784,0.00014303665,0.000009498337,0.0018486651,0.0000073237165,0.00097530446,0.99573267,0.00024967728],"about_ca_topic_score_codex":0.000012960709,"about_ca_topic_score_gemma":0.00006670481,"teacher_disagreement_score":0.99505395,"about_ca_system_score_codex":0.00005164339,"about_ca_system_score_gemma":0.000080887614,"threshold_uncertainty_score":0.8669536},"labels":[],"label_agreement":null},{"id":"W4404012145","doi":"10.31234/osf.io/nxh4s","title":"Memory-guided perception is shaped by dynamic two-stage theta- and alpha-mediated retrieval","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto; Western University","funders":"","keywords":"Alpha (finance); Perception; Psychology; Stage (stratigraphy); Cognitive psychology; Computer science; Neuroscience; Developmental psychology; Biology","score_opus":0.03398227534492045,"score_gpt":0.3015504386846453,"score_spread":0.2675681633397249,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404012145","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9820624,0.00012915563,0.00026336618,0.004283222,0.0023705792,0.0009391652,0.00096271664,0.000604297,0.008385084],"genre_scores_gemma":[0.9207979,0.00066485355,0.000070602306,0.0032593056,0.00010409791,0.000024808309,0.00027109918,0.0000909665,0.07471638],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966007,0.00018308146,0.00052836223,0.0016572081,0.0006021058,0.00042856846],"domain_scores_gemma":[0.9987564,0.0002183778,0.00019773711,0.00058426574,0.000064164735,0.00017902812],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00036605707,0.00053138076,0.00044650762,0.00023463051,0.00016928617,0.00047463868,0.00036832644,0.0003846957,0.001525432],"category_scores_gemma":[0.00027841964,0.0004358012,0.00021276333,0.00031960395,0.00018452751,0.00012806388,0.0011925449,0.0011915149,0.00046282384],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006459739,0.000045782246,0.000008240448,0.00019428569,0.000019756735,0.00003438778,0.00022818022,0.000025977006,0.99043846,0.00020510897,0.0073004775,0.0014347201],"study_design_scores_gemma":[0.0009848695,0.00018597189,0.00038106085,0.00012999117,0.00015436007,0.00007804861,0.00015378218,0.9581697,0.026402066,0.009218413,0.00303933,0.0011023822],"about_ca_topic_score_codex":0.0001737635,"about_ca_topic_score_gemma":0.000031090185,"teacher_disagreement_score":0.9640364,"about_ca_system_score_codex":0.00018902014,"about_ca_system_score_gemma":0.000084417436,"threshold_uncertainty_score":0.9998094},"labels":[],"label_agreement":null},{"id":"W4404117106","doi":"10.3389/fams.2024.1471447","title":"Corrigendum: A scalar Poincaré map for anti-phase bursting in coupled inhibitory neurons with synaptic depression","year":2024,"lang":"en","type":"erratum","venue":"Frontiers in Applied Mathematics and Statistics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Wellcome Trust","keywords":"Bursting; Inhibitory postsynaptic potential; Neuroscience; Scalar (mathematics); Depression (economics); Psychology; Mathematics; Economics; Geometry","score_opus":0.01876643195030473,"score_gpt":0.2548507437432072,"score_spread":0.23608431179290248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404117106","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030599101,0.0007003015,0.9656164,0.00009328926,0.02315606,0.0030241634,0.0019283595,0.00013738897,0.0022840989],"genre_scores_gemma":[0.033485282,0.001948941,0.9385885,0.0006139238,0.0010767013,0.0012459382,0.0015255121,0.0008187245,0.020696498],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99736387,0.00002849232,0.0007171122,0.00090818334,0.00042780454,0.00055454235],"domain_scores_gemma":[0.99877053,0.0003636948,0.0003595975,0.00034291446,0.00003674192,0.00012654335],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030935212,0.00051323907,0.0008584009,0.0004829194,0.00016503791,0.00020990113,0.00023813028,0.00035380918,0.0000050501126],"category_scores_gemma":[0.00028338862,0.00044838336,0.000051333198,0.00033462796,0.00020884268,0.00005034135,0.00013685941,0.0010524768,0.000004318495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039284528,0.0009997207,0.00007116854,0.012675555,0.000082298066,0.00093880453,0.0009994982,0.0003602561,0.009651337,0.03689851,0.9189177,0.018012268],"study_design_scores_gemma":[0.001563339,0.00022854115,0.000009643488,0.0011395112,0.00015141699,0.00003273588,0.0002563075,0.94844943,0.00013175358,0.03891794,0.008537424,0.00058195635],"about_ca_topic_score_codex":0.0000072052435,"about_ca_topic_score_gemma":0.000030391766,"teacher_disagreement_score":0.9480892,"about_ca_system_score_codex":0.00013239191,"about_ca_system_score_gemma":0.0001631814,"threshold_uncertainty_score":0.9997968},"labels":[],"label_agreement":null},{"id":"W4404121427","doi":"10.1101/2024.11.05.622159","title":"In vivo cell-type and brain region classification via multimodal contrastive learning","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Max-Planck-Gesellschaft; Boehringer Ingelheim Fonds; European Commission; National Institute of Neurological Disorders and Stroke; McKnight Foundation; Canadian Institute for Advanced Research; Giovanni Armenise-Harvard Foundation; Wellcome Trust; National Institutes of Health; National Science Foundation","keywords":"Computer science; Artificial intelligence; Embedding; Neuroscience; Inference; Pattern recognition (psychology); Machine learning; Psychology","score_opus":0.019644660123757266,"score_gpt":0.23194190929928268,"score_spread":0.21229724917552542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404121427","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99421245,0.00022294206,0.0010786974,0.001311326,0.0020798466,0.0007102907,0.00003396227,0.00030871548,0.00004177508],"genre_scores_gemma":[0.9985973,0.00022821692,0.00017631162,0.00049098826,0.0002501886,0.0000757621,1.659511e-7,0.00009867456,0.000082369625],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99723494,0.0002916265,0.00042500722,0.0013497976,0.00028348152,0.00041514126],"domain_scores_gemma":[0.99866617,0.00029339924,0.0002935232,0.0004284988,0.00016607059,0.00015232172],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00037798155,0.00042536744,0.00037834438,0.0003694117,0.00015151824,0.00027690388,0.00023951703,0.00043079778,0.00001569143],"category_scores_gemma":[0.00079208467,0.00044942257,0.00006620587,0.00074118533,0.00014213976,0.00017675482,0.00040980353,0.0014488823,0.000050539795],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000587968,0.00006399284,0.0010452938,0.00023504587,0.0000072002013,0.0001352224,0.000019235007,0.0002035999,0.9968447,0.0011072854,0.0002728784,0.0000067607143],"study_design_scores_gemma":[0.0007646366,0.00019403438,0.02667089,0.00047001772,0.000060067763,2.2271554e-7,0.000008088996,0.19623482,0.77083385,0.000076303935,0.0036634756,0.0010235732],"about_ca_topic_score_codex":0.00006053217,"about_ca_topic_score_gemma":0.0000038380654,"teacher_disagreement_score":0.22601081,"about_ca_system_score_codex":0.00023825088,"about_ca_system_score_gemma":0.00019955687,"threshold_uncertainty_score":0.99979573},"labels":[],"label_agreement":null},{"id":"W4404143231","doi":"10.7554/elife.101850.1","title":"Assemblies, synapse clustering and network topology interact with plasticity to explain structure-function relationships of the cortical connectome","year":2024,"lang":"en","type":"preprint","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute; Centre Hospitalier Universitaire Sainte-Justine","funders":"Board of the Swiss Federal Institutes of Technology; École Polytechnique Fédérale de Lausanne","keywords":"Connectome; Neuroscience; Functional connectivity; Synapse; Function (biology); Cluster analysis; Neuroplasticity; Computer science; Topology (electrical circuits); Psychology; Biology; Mathematics; Artificial intelligence; Evolutionary biology; Combinatorics","score_opus":0.032719098593997846,"score_gpt":0.2635202584045103,"score_spread":0.23080115981051247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404143231","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9880812,0.000027895896,0.0077863373,0.0009114213,0.0024787204,0.00041464972,0.000059195707,0.00005820309,0.00018234625],"genre_scores_gemma":[0.99876505,0.000008893449,0.00016345781,0.00066688564,0.00023536579,0.000020319556,0.0000066633875,0.000023241077,0.000110142246],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998409,0.00030525596,0.00029879046,0.0005229211,0.0002545959,0.00020947005],"domain_scores_gemma":[0.99844813,0.0010216071,0.00014915176,0.0002560612,0.000045550354,0.00007947639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018366854,0.00020056608,0.00026062047,0.00008763691,0.00019391881,0.00008746292,0.00014839527,0.0001740419,0.00002468794],"category_scores_gemma":[0.0012271276,0.00013107552,0.000048121125,0.00024753268,0.00012478553,0.00004303532,0.0009707039,0.0012251185,0.000005323447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030849641,0.00014240055,0.030224446,0.0011811104,0.00024324896,0.00011703294,0.0016819265,0.4183982,0.4291218,0.109391175,0.004869189,0.001544518],"study_design_scores_gemma":[0.0014079652,0.002338732,0.41701686,0.0029544262,0.00072593975,0.00087235,0.0004143623,0.4780171,0.047521826,0.04405344,0.002801494,0.0018754988],"about_ca_topic_score_codex":0.000029881807,"about_ca_topic_score_gemma":0.00046024594,"teacher_disagreement_score":0.38679242,"about_ca_system_score_codex":0.000058736812,"about_ca_system_score_gemma":0.00006540791,"threshold_uncertainty_score":0.53451043},"labels":[],"label_agreement":null},{"id":"W4404143990","doi":"10.7554/elife.101850","title":"Assemblies, synapse clustering, and network topology interact with plasticity to explain structure-function relationships of the cortical connectome","year":2024,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute; Centre Hospitalier Universitaire Sainte-Justine","funders":"Alliance de recherche numérique du Canada; Fonds de Recherche du Québec - Santé; Board of the Swiss Federal Institutes of Technology; Institut de Valorisation des Données; Centre de recherche du CHU Sainte-Justine; École Polytechnique Fédérale de Lausanne; Canadian Institute for Advanced Research; Canada Foundation for Innovation; Google","keywords":"Connectome; Neuroscience; Synapse; Functional connectivity; Cluster analysis; Connectomics; Function (biology); Topology (electrical circuits); Computer science; Psychology; Mathematics; Biology; Artificial intelligence; Evolutionary biology; Combinatorics","score_opus":0.025060781662481078,"score_gpt":0.2549446622740373,"score_spread":0.2298838806115562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404143990","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98371786,0.000018599327,0.014145317,0.0007642087,0.0009624456,0.00017262233,0.000014795657,0.00004632793,0.00015782539],"genre_scores_gemma":[0.99892545,0.0000041909725,0.000086790664,0.0007189077,0.00011631872,0.0000062644235,0.0000016495643,0.000010446661,0.00012999933],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991261,0.00016459853,0.00015549544,0.0002519117,0.00015592681,0.0001460024],"domain_scores_gemma":[0.9988687,0.00090379664,0.000039792416,0.000111630754,0.000021285048,0.00005479225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011513544,0.00008996335,0.000108121174,0.000048402304,0.00016599616,0.000052889296,0.00006534366,0.000050369013,0.00003683147],"category_scores_gemma":[0.0007309725,0.000055296456,0.000020912019,0.000294377,0.00008889045,0.00009519146,0.000090834335,0.00029674033,0.0000053600015],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013113095,0.000069882786,0.03605305,0.00016946746,0.000063538,0.00006294269,0.0008751563,0.033917017,0.7433418,0.17682432,0.005640032,0.0016714701],"study_design_scores_gemma":[0.0009356804,0.0025341823,0.5804961,0.0005553038,0.00017390725,0.0008253524,0.00027107104,0.3390737,0.0567498,0.005143158,0.012552178,0.00068964006],"about_ca_topic_score_codex":0.000011713356,"about_ca_topic_score_gemma":0.00025108753,"teacher_disagreement_score":0.68659204,"about_ca_system_score_codex":0.000024354067,"about_ca_system_score_gemma":0.000025070158,"threshold_uncertainty_score":0.2254924},"labels":[],"label_agreement":null},{"id":"W4404177982","doi":"10.1523/jneurosci.0670-24.2024","title":"Unique Cortical and Subcortical Activation Patterns for Different Conspecific Calls in Marmosets","year":2024,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"Canadian Institutes of Health Research; Canada First Research Excellence Fund; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Neuroscience; Callithrix; Psychology; Communication; Biology; Primate","score_opus":0.0523619186266876,"score_gpt":0.302538130364145,"score_spread":0.2501762117374574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404177982","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98330134,0.00001250699,0.013390326,0.0017409268,0.0013456166,0.00016003741,0.000009384546,0.0000140211505,0.000025861742],"genre_scores_gemma":[0.99887764,0.00015785063,0.000034760753,0.00077594863,0.00008492987,0.000004110974,2.344309e-7,0.000009552323,0.000054977485],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987835,0.00009351758,0.00034906663,0.00027998898,0.00028637436,0.00020755242],"domain_scores_gemma":[0.9989015,0.00079463306,0.000083988874,0.000075739925,0.000032267548,0.00011188854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023600782,0.00010038403,0.00015020081,0.00017588204,0.000073528936,0.0001810489,0.00014455465,0.000038627728,0.0000059143777],"category_scores_gemma":[0.0009272987,0.00007238024,0.000056236928,0.00022471468,0.00013754633,0.0003441706,0.00004063392,0.00032472092,7.3017577e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064599335,0.000066461034,0.0024565805,0.000030450721,3.9457782e-7,0.000118342534,0.000031386575,0.000022432776,0.9895262,0.0051728566,0.00008846364,0.0024217942],"study_design_scores_gemma":[0.0008512145,0.0017580066,0.644199,0.00032863198,0.000019605928,0.0012510064,0.00003804546,0.1616953,0.18205488,0.004754341,0.0027431352,0.00030681532],"about_ca_topic_score_codex":0.0000013144753,"about_ca_topic_score_gemma":0.0000020253444,"teacher_disagreement_score":0.8074714,"about_ca_system_score_codex":0.00005037276,"about_ca_system_score_gemma":0.00004836759,"threshold_uncertainty_score":0.29515803},"labels":[],"label_agreement":null},{"id":"W4404185084","doi":"10.7554/elife.99693","title":"Modeling and simulation of neocortical micro- and mesocircuitry (Part II, Physiology and experimentation)","year":2024,"lang":"en","type":"preprint","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Neuroscience; Optogenetics; Stimulus (psychology); Computer science; Connectome; Somatosensory system; Inhibitory postsynaptic potential; Biology; Functional connectivity; Psychology; Cognitive psychology","score_opus":0.04900334218917165,"score_gpt":0.31417528520377036,"score_spread":0.26517194301459873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404185084","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99819136,0.00052111316,0.0003731411,0.00019256181,0.0004074342,0.00019330862,0.000019888028,0.000029595116,0.000071604634],"genre_scores_gemma":[0.99902195,0.0002853042,0.00013466498,0.00032571307,0.00012984492,0.000012411688,0.000009572222,0.000013241821,0.00006727749],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907297,0.000048630514,0.00021597896,0.00044180884,0.00011205418,0.00010856319],"domain_scores_gemma":[0.99966234,0.00010622864,0.000059091697,0.0001031889,0.000024928737,0.000044212615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000078763966,0.00012350643,0.00018425331,0.000046038847,0.00008791257,0.00003899909,0.000031480078,0.00011655049,0.00000875735],"category_scores_gemma":[0.000085144966,0.00011532212,0.000027003505,0.00004005201,0.000099861114,0.000043314725,0.00048849534,0.00021979184,0.0000010960845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027749444,0.000020695396,0.000069223795,0.00020847004,0.000010636013,0.0000031251886,0.00049377244,0.07748182,0.91880995,0.0018241826,0.000032877415,0.0010174982],"study_design_scores_gemma":[0.0001424791,0.00005129808,0.00028937202,0.00005794984,0.000026089114,0.000008722522,0.000033261964,0.95604163,0.032780603,0.0104011595,0.000045956116,0.000121454614],"about_ca_topic_score_codex":0.000010530435,"about_ca_topic_score_gemma":9.835421e-7,"teacher_disagreement_score":0.88602936,"about_ca_system_score_codex":0.000011159638,"about_ca_system_score_gemma":0.000022439232,"threshold_uncertainty_score":0.47026995},"labels":[],"label_agreement":null},{"id":"W4404185155","doi":"10.7554/elife.99693.1","title":"Modeling and Simulation of Neocortical Micro- and Mesocircuitry. Part II: Physiology and Experimentation","year":2024,"lang":"en","type":"preprint","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Cognitive science; Neuroscience; Neocortex; Computer science; Psychology","score_opus":0.05212225559330071,"score_gpt":0.3197431391561745,"score_spread":0.26762088356287383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404185155","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99825066,0.00047469744,0.00041572284,0.00016695348,0.00038549656,0.00020830776,0.000017700568,0.000029124563,0.000051339634],"genre_scores_gemma":[0.9991124,0.00034382174,0.000099205536,0.00023604163,0.00012328244,0.0000134287175,0.00001094476,0.0000130042545,0.0000478697],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907756,0.00005450139,0.0002105437,0.00043816704,0.000111676214,0.00010752448],"domain_scores_gemma":[0.99967843,0.000095583935,0.00006279736,0.00009781141,0.000024050567,0.000041314306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008367543,0.000121435565,0.00017869081,0.00004427516,0.00008331429,0.000039627044,0.000028012115,0.00011990958,0.000006278638],"category_scores_gemma":[0.00008605124,0.00011307169,0.000025597876,0.00003890606,0.00008765833,0.000041776973,0.0004217021,0.00020401434,8.706561e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026706066,0.000017733955,0.000055054992,0.00019210488,0.000008042346,0.0000022601293,0.0005380879,0.073717125,0.9226694,0.0013615987,0.000019330086,0.0013925432],"study_design_scores_gemma":[0.00013319624,0.000057483157,0.00028564752,0.00005591382,0.000025058813,0.000006566613,0.000032549124,0.9526659,0.036349878,0.010239536,0.000037711096,0.00011052121],"about_ca_topic_score_codex":0.000013351278,"about_ca_topic_score_gemma":0.000001165557,"teacher_disagreement_score":0.8863195,"about_ca_system_score_codex":0.000011758761,"about_ca_system_score_gemma":0.000019278072,"threshold_uncertainty_score":0.46109298},"labels":[],"label_agreement":null},{"id":"W4404199554","doi":"10.1038/s41597-024-04010-8","title":"Neural Dynamics of Creative Movements During the Rehearsal and Performance of “LiveWire\"","year":2024,"lang":"en","type":"article","venue":"Scientific Data","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McGill University; Rice University; National Science Foundation","keywords":"Electrooculography; Forehead; Electroencephalography; Computer science; Dynamics (music); Brain activity and meditation; Inertial measurement unit; Motion (physics); Artificial intelligence; Brain–computer interface; Computer vision; Psychology; Eye movement; Neuroscience; Medicine","score_opus":0.03630925699347074,"score_gpt":0.27132811150185093,"score_spread":0.2350188545083802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404199554","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99647677,0.00004997833,0.000021871305,0.00017336979,0.001077011,0.0001278028,0.0016882875,0.000017987255,0.00036694555],"genre_scores_gemma":[0.9958743,0.000030229374,0.00002017416,0.000019006506,0.000015506568,0.0000015692377,0.00009226265,0.0000062655677,0.0039407057],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989367,0.00003979271,0.00016961462,0.0004433899,0.00027932294,0.00013118892],"domain_scores_gemma":[0.99916404,0.000087962144,0.000060074708,0.00063777436,0.000025749765,0.000024407973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037118135,0.00006805274,0.000079724094,0.00008080522,0.00018136234,0.00013693243,0.00051699305,0.00001564172,0.000026829708],"category_scores_gemma":[0.00012554132,0.000044864762,0.000017664339,0.00044402215,0.00048188138,0.00045834438,0.00059874885,0.00009379389,0.000004677404],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009154414,0.000077419616,0.003891367,0.0005208131,0.000016455955,0.000010753319,0.0005598595,0.00014845385,0.95819235,0.0039539677,0.0013064515,0.031230547],"study_design_scores_gemma":[0.00010308809,0.000077724995,0.021777246,0.00007946779,0.000010591948,0.000013027568,0.000090799986,0.93348825,0.04338017,0.00022675774,0.0006797572,0.00007312921],"about_ca_topic_score_codex":0.0000220762,"about_ca_topic_score_gemma":0.000019255824,"teacher_disagreement_score":0.9333398,"about_ca_system_score_codex":0.00001463149,"about_ca_system_score_gemma":0.000023502807,"threshold_uncertainty_score":0.1829532},"labels":[],"label_agreement":null},{"id":"W4404204508","doi":"10.1101/2024.11.09.622778","title":"Anterior cingulate neurons display subregion-specific interaction with frontal eye fields as revealed by combined antidromic stimulation and resting state imaging","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Antidromic; Neuroscience; Stimulation; Resting state fMRI; Frontal eye fields; Psychology; Eye movement","score_opus":0.010568464458336336,"score_gpt":0.22779598850586208,"score_spread":0.21722752404752574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404204508","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99420613,0.00027320028,0.0014222201,0.000625013,0.0020610327,0.0007900086,0.00015543026,0.00045705424,0.000009933298],"genre_scores_gemma":[0.9987313,0.00033784658,0.00026496526,0.00027468102,0.00015331783,0.000052734016,0.0000014980093,0.00015052843,0.000033092325],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99690884,0.00019375137,0.00055235473,0.0015000124,0.00036379945,0.00048126804],"domain_scores_gemma":[0.99842197,0.00017302044,0.00046101704,0.0006304853,0.0001258976,0.0001876265],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026848857,0.0005722352,0.0004654893,0.0003127774,0.0003199372,0.0008061919,0.0002599751,0.00017825775,0.000011832362],"category_scores_gemma":[0.0001530425,0.0005495563,0.000092574024,0.00039317016,0.00015060077,0.00037406702,0.00049454125,0.0011228212,0.000028357626],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027406926,0.000056098415,0.00827067,0.00024072325,0.000021550512,0.0002627248,0.000025087806,0.00037260493,0.99014556,0.00010796487,0.00019797165,0.000024951527],"study_design_scores_gemma":[0.002934726,0.0007286992,0.2902161,0.0049909623,0.00028303103,0.000003945988,0.000015149442,0.28461194,0.41207692,0.00010954301,0.0011767994,0.0028522166],"about_ca_topic_score_codex":0.00012139659,"about_ca_topic_score_gemma":0.000006572729,"teacher_disagreement_score":0.5780687,"about_ca_system_score_codex":0.00020456927,"about_ca_system_score_gemma":0.00011504794,"threshold_uncertainty_score":0.9996956},"labels":[],"label_agreement":null},{"id":"W4404239898","doi":"10.7554/elife.101780","title":"A general framework for characterizing optimal communication in brain networks","year":2024,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Deutsche Forschungsgemeinschaft; Natural Sciences and Engineering Research Council of Canada; Templeton World Charity Foundation; Fondation Brain Canada","keywords":"Computer science; Cognitive science; Psychology","score_opus":0.03501718463408897,"score_gpt":0.3063857017794151,"score_spread":0.2713685171453261,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404239898","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9161004,0.00020131264,0.07359913,0.008504758,0.0009531054,0.00030906737,0.000012618418,0.00014159741,0.00017801259],"genre_scores_gemma":[0.9896061,0.000103570324,0.0039153094,0.0055348156,0.0003114127,0.00006814733,0.000019143614,0.000020944763,0.0004205507],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928534,0.000062949,0.00014826113,0.00022902418,0.00009319436,0.00018122938],"domain_scores_gemma":[0.9991837,0.0005703691,0.00002734188,0.00017774913,0.000009640477,0.000031181553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022889594,0.00007588696,0.00008078259,0.00006355164,0.00008371683,0.00013786007,0.00011762033,0.00006850935,0.000014319176],"category_scores_gemma":[0.00031736307,0.00007153727,0.00004688064,0.00022903223,0.00002494664,0.00016017228,0.00005316161,0.00023677073,0.000014476506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013246435,0.000091042544,0.00036065135,0.0000764948,0.000007783922,0.000038745588,0.0006304882,0.009599394,0.5588889,0.38989592,0.006694206,0.033583894],"study_design_scores_gemma":[0.00011869707,0.00005298816,0.0013157554,0.00011536139,0.0000026517064,0.000010449291,0.00000848744,0.9597953,0.008689727,0.0019113577,0.027853845,0.00012541073],"about_ca_topic_score_codex":0.0000052608166,"about_ca_topic_score_gemma":0.0000049089663,"teacher_disagreement_score":0.95019585,"about_ca_system_score_codex":0.00003244422,"about_ca_system_score_gemma":0.000014732362,"threshold_uncertainty_score":0.29172054},"labels":[],"label_agreement":null},{"id":"W4404240705","doi":"10.7554/elife.101780.1","title":"A General Framework for Characterizing Optimal Communication in Brain Networks","year":2024,"lang":"en","type":"preprint","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Computer science; Cognitive science; Neuroscience; Psychology","score_opus":0.04455698363890703,"score_gpt":0.31630914756961925,"score_spread":0.2717521639307122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404240705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9524907,0.00039863307,0.029541051,0.0124098165,0.003479691,0.0010784402,0.000099044446,0.00021584667,0.0002868155],"genre_scores_gemma":[0.9795137,0.00037835253,0.009695816,0.008054322,0.00096856063,0.00041660768,0.00016940472,0.00007584352,0.000727361],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998426,0.00014592732,0.0003467561,0.00059815374,0.00018490646,0.00029820745],"domain_scores_gemma":[0.9986197,0.00059166213,0.00015465489,0.00055124535,0.000027508744,0.00005523006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040558542,0.00021992554,0.00025215314,0.000135539,0.0001003567,0.00025877915,0.00035820366,0.00035141158,0.000013107343],"category_scores_gemma":[0.0006168042,0.0002212293,0.00014313022,0.00018760301,0.000046078654,0.000058063837,0.0009928861,0.0013989618,0.000019827432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000650797,0.0004545376,0.0005192352,0.0012571593,0.000069558395,0.00013652536,0.002155763,0.20861545,0.28508508,0.43989354,0.021749657,0.039412685],"study_design_scores_gemma":[0.00017500139,0.000051097115,0.0007595127,0.0006189552,0.000013593358,0.000009195962,0.0000096439835,0.9622692,0.0046596685,0.023377763,0.007692852,0.00036350824],"about_ca_topic_score_codex":0.000019709796,"about_ca_topic_score_gemma":0.000013157143,"teacher_disagreement_score":0.75365376,"about_ca_system_score_codex":0.00009474167,"about_ca_system_score_gemma":0.00005539618,"threshold_uncertainty_score":0.90214694},"labels":[],"label_agreement":null},{"id":"W4404275918","doi":"10.3390/e26110967","title":"Entropy of Neuronal Spike Patterns","year":2024,"lang":"en","type":"review","venue":"Entropy","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Computer science; Entropy (arrow of time); Predictability; Artificial neural network; Artificial intelligence; Neural coding; Dimensionality reduction; Information theory; Machine learning; Mathematics","score_opus":0.053483796102406604,"score_gpt":0.3179783059116803,"score_spread":0.2644945098092737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404275918","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00034893636,0.99353814,0.00008169935,0.000090108515,0.0043156887,0.0005871573,0.00048073285,0.00012557756,0.00043197253],"genre_scores_gemma":[0.00046737227,0.99671924,0.000013117461,0.00014894233,0.00046531705,0.00003233945,0.000043263026,0.000075060285,0.0020353347],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99786973,0.00018046107,0.00055253983,0.0006737433,0.00040286436,0.00032063853],"domain_scores_gemma":[0.9990241,0.00019283243,0.00028663102,0.00039299473,0.000016121498,0.00008733522],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000076985176,0.00038534778,0.0008946357,0.00020771842,0.00004685199,0.00007493372,0.00040960422,0.0001419871,0.00033306907],"category_scores_gemma":[0.00013392585,0.00027316628,0.000657354,0.00033438083,0.000064143576,0.00006468285,0.00018950283,0.00052176235,0.00069487304],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000154029,0.0001698302,0.000008629939,0.02328803,0.00006343942,0.0003057738,0.000022848624,0.0000026006282,0.0038286017,0.13036571,0.005843356,0.8360858],"study_design_scores_gemma":[0.00007745195,0.00011240793,0.000002974162,0.0023292894,0.00036288577,0.00006541865,7.8852764e-7,0.00013575838,0.0002160378,0.00054511207,0.99591684,0.0002350199],"about_ca_topic_score_codex":0.000006478072,"about_ca_topic_score_gemma":7.821198e-7,"teacher_disagreement_score":0.9900735,"about_ca_system_score_codex":0.00006431221,"about_ca_system_score_gemma":0.00008697023,"threshold_uncertainty_score":0.99997205},"labels":[],"label_agreement":null},{"id":"W4404320921","doi":"10.1093/cercor/bhae415","title":"Neural signatures of visual awareness independent of postperceptual processing","year":2024,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Templeton World Charity Foundation; Canadian Institute for Advanced Research; American Psychological Foundation; National Science Foundation","keywords":"P3b; Psychology; Perception; Stimulus (psychology); Consciousness; Preconscious; Electroencephalography; Cognitive psychology; Backward masking; Neural correlates of consciousness; Visual perception; Event-related potential; Neuroscience; Cognition; Unconscious mind","score_opus":0.024264640861577976,"score_gpt":0.29263734656378354,"score_spread":0.26837270570220556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404320921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99789417,0.00018173047,0.0001556813,0.000106147105,0.00088037405,0.00014064428,0.00002742575,0.00008504802,0.00052880996],"genre_scores_gemma":[0.99939144,0.000007777768,0.000013540387,0.00015348532,0.000097486634,0.0000038243334,0.000008358994,0.000022652323,0.00030141053],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998704,0.000057679124,0.00029130097,0.00037698873,0.00036951623,0.0002004766],"domain_scores_gemma":[0.99958336,0.00009676241,0.00009056263,0.00011963018,0.000055937937,0.00005376615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008028423,0.00014294105,0.00019464873,0.00014107922,0.00006607604,0.000056623172,0.00018816597,0.00008488482,0.00012264689],"category_scores_gemma":[0.00008300894,0.00011477508,0.00010272818,0.00038809457,0.00014333264,0.0002661821,0.00008941551,0.00022699012,0.000008517654],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005583524,0.00006402067,0.000989565,0.00020137282,0.0000039502584,0.000022580625,0.0001863327,0.00012665511,0.9789636,0.0015362941,0.00008614715,0.01776361],"study_design_scores_gemma":[0.00048069752,0.0009734238,0.073927395,0.00029693884,0.000051583123,0.00008825302,0.00028283647,0.259385,0.66239023,0.0014218491,0.0002736739,0.00042814424],"about_ca_topic_score_codex":0.000032048894,"about_ca_topic_score_gemma":0.000010331208,"teacher_disagreement_score":0.3165734,"about_ca_system_score_codex":0.000022508868,"about_ca_system_score_gemma":0.000092802686,"threshold_uncertainty_score":0.46803918},"labels":[],"label_agreement":null},{"id":"W4404364130","doi":"10.52202/079017-4147","title":"RTify: Aligning Deep Neural Networks with Human Behavioral Decisions","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"NIH Office of the Director; Office of Naval Research; National Institutes of Health; Agence Nationale de la Recherche; National Science Foundation","keywords":"Computer science; Artificial intelligence; Recurrent neural network; Convolutional neural network; Deep learning; Machine learning; Focus (optics); Artificial neural network; Perception; Observer (physics); Psychophysics; Task (project management); Computational model; Psychology; Neuroscience","score_opus":0.06929528483446744,"score_gpt":0.32310988734990914,"score_spread":0.2538146025154417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404364130","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9781314,0.0000649548,0.011363441,0.0005670294,0.0030236423,0.0006038192,0.000022112336,0.00068054395,0.005543028],"genre_scores_gemma":[0.99601483,0.000015235264,0.00043535233,0.00075761153,0.00032771498,0.00007359448,0.000049045426,0.00009008822,0.002236502],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99735796,0.000096604526,0.00038483003,0.0012216597,0.00046152444,0.0004774401],"domain_scores_gemma":[0.99881226,0.00018529905,0.0001387875,0.0006460426,0.00004959411,0.00016801077],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013302636,0.00042972763,0.00033372224,0.00020315932,0.0003367726,0.0006303992,0.0005014211,0.00027640138,0.00016120293],"category_scores_gemma":[0.00004499046,0.00031160185,0.00019838657,0.0003360846,0.00012785438,0.00008728766,0.0015722231,0.0015288801,0.000053798427],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028389037,0.00089772034,0.0022448616,0.00021130149,0.00009081054,0.0034765948,0.0006753392,0.5931714,0.22272919,0.051427644,0.0080940835,0.116697155],"study_design_scores_gemma":[0.00024237279,0.00036558995,0.0004670635,0.00020160999,0.00016244258,0.00013898422,0.00004348507,0.9838093,0.0038061214,0.009672938,0.00029854308,0.00079155003],"about_ca_topic_score_codex":0.00014033943,"about_ca_topic_score_gemma":0.00038234564,"teacher_disagreement_score":0.3906379,"about_ca_system_score_codex":0.00007772104,"about_ca_system_score_gemma":0.000032541833,"threshold_uncertainty_score":0.9999336},"labels":[],"label_agreement":null},{"id":"W4404370479","doi":"10.1523/jneurosci.1068-24.2024","title":"Nonresponsive Neurons Improve Population Coding of Object Location","year":2024,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Neural coding; Neuroscience; Midbrain; Population; Stimulus (psychology); Sensory system; Stimulus modality; Coding (social sciences); Computer science; Biology; Psychology; Central nervous system; Mathematics","score_opus":0.03521696798309455,"score_gpt":0.2992248151016004,"score_spread":0.2640078471185059,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404370479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9881571,0.00004924959,0.005937855,0.00069504615,0.0048124893,0.00012240738,0.000008747894,0.000027514727,0.00018958194],"genre_scores_gemma":[0.9990515,0.0000850276,0.00006324426,0.00045890512,0.00012090288,9.5044703e-7,2.1709559e-7,0.000012007613,0.00020726274],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984393,0.0001451904,0.00045108236,0.00026950383,0.00052296265,0.00017193226],"domain_scores_gemma":[0.998865,0.00044730993,0.0003394346,0.00014155066,0.00013263605,0.00007406909],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004265666,0.000103796396,0.00015601557,0.00034660904,0.00010650881,0.00012810016,0.00027365045,0.000032484633,0.000004636594],"category_scores_gemma":[0.0024316767,0.00008268389,0.000102072794,0.0010275512,0.00011112463,0.0008039479,0.000049497892,0.00025947776,0.0000039128518],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045334138,0.000028448289,0.00009460336,0.000034743418,5.576404e-7,0.00006737614,0.000056982786,0.0011564132,0.9907902,0.0022928594,0.00005167272,0.005380813],"study_design_scores_gemma":[0.00038637238,0.0021034193,0.07603682,0.0003613626,0.000049496357,0.0016071779,0.00005393935,0.23968822,0.674154,0.0028586322,0.0023938715,0.00030669372],"about_ca_topic_score_codex":0.000006636914,"about_ca_topic_score_gemma":0.000001167471,"teacher_disagreement_score":0.3166362,"about_ca_system_score_codex":0.00004822749,"about_ca_system_score_gemma":0.00012095356,"threshold_uncertainty_score":0.3371751},"labels":[],"label_agreement":null},{"id":"W4404431057","doi":"10.1101/2024.11.13.623515","title":"Modeling Complex Animal Behavior with Latent State Inverse Reinforcement Learning","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Animal behavior; Reinforcement learning; Computer science; Artificial intelligence; Statistical physics; Physics; Biology","score_opus":0.03891492840163722,"score_gpt":0.23826716049801266,"score_spread":0.19935223209637545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404431057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945728,0.0000458882,0.0024366514,0.00018097437,0.0009246254,0.0009575933,0.000078072524,0.00078387395,0.000019476362],"genre_scores_gemma":[0.99815786,0.00012563897,0.00070914836,0.00033625835,0.00018094342,0.0002439408,7.6719436e-7,0.0001883814,0.000057042318],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964393,0.00013714332,0.000569579,0.0014649295,0.0006944602,0.0006945878],"domain_scores_gemma":[0.99845195,0.000040645733,0.00027123862,0.00073278544,0.00022152685,0.00028186716],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033804792,0.00065078714,0.00048658522,0.0003357416,0.00030978737,0.0005528323,0.00044681266,0.00023628525,0.00005632126],"category_scores_gemma":[0.00010199784,0.0005987657,0.00015777466,0.0005189271,0.00012069513,0.00017377887,0.0010279979,0.0016603194,0.00016899382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000097102355,0.00006452825,0.0005581959,0.00025934,0.000032426364,0.0003256851,0.000013888564,0.1422184,0.8558718,0.00051310455,0.000043446682,0.0000020858467],"study_design_scores_gemma":[0.0004362814,0.00030899668,0.0019732097,0.00040430686,0.00017298292,1.3808915e-7,0.00000276425,0.87285316,0.12245354,0.000004259381,0.00045805718,0.0009323001],"about_ca_topic_score_codex":0.00009943026,"about_ca_topic_score_gemma":0.0000061320766,"teacher_disagreement_score":0.7334182,"about_ca_system_score_codex":0.00037190982,"about_ca_system_score_gemma":0.00032821172,"threshold_uncertainty_score":0.99964637},"labels":[],"label_agreement":null},{"id":"W4404431120","doi":"10.1101/2024.11.13.621472","title":"Individual brain activity patterns during task are predicted by distinct resting-state networks that may reflect local neurobiological features","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Resting state fMRI; Functional connectivity; Task (project management); Neuroscience; Psychology; Brain activity and meditation; Cognitive psychology; Electroencephalography","score_opus":0.021659454098358632,"score_gpt":0.23615894460365616,"score_spread":0.21449949050529754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404431120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98670787,0.00018945326,0.0016101933,0.0011808659,0.0030518498,0.0009908155,0.0048083765,0.0014523685,0.00000820803],"genre_scores_gemma":[0.998055,0.00015391395,0.000031828695,0.00066962035,0.0005670981,0.00019973055,0.0000063149246,0.00022797505,0.00008854059],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99378157,0.000871631,0.0005769688,0.0028019336,0.0007593941,0.0012085249],"domain_scores_gemma":[0.9969372,0.0005831739,0.0007093344,0.0012162803,0.00012368306,0.00043033736],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0005997977,0.0010874446,0.00081448804,0.00029335212,0.00048863265,0.0009362172,0.001077394,0.00087515695,0.000023285802],"category_scores_gemma":[0.0010177861,0.0009832405,0.0002989058,0.0007953389,0.00036869437,0.000197124,0.0024423648,0.0038714604,0.00002233409],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027238208,0.00022588878,0.018115677,0.0006209443,0.0000894358,0.0010050841,0.0000098791,0.0016543138,0.9740619,0.000040808118,0.0038807625,0.000022904072],"study_design_scores_gemma":[0.0006535377,0.00023652367,0.66850215,0.0010310586,0.00015401351,0.0000011746481,0.000001953999,0.008417142,0.31851792,0.000014148181,0.0008546065,0.0016157485],"about_ca_topic_score_codex":0.000060016602,"about_ca_topic_score_gemma":0.000019327554,"teacher_disagreement_score":0.655544,"about_ca_system_score_codex":0.0003454993,"about_ca_system_score_gemma":0.00018135914,"threshold_uncertainty_score":0.9992618},"labels":[],"label_agreement":null},{"id":"W4404522586","doi":"10.1038/s42003-024-07235-w","title":"From the brain’s encoding of input dynamics to its behavior: neural dynamics shape bias in decision making","year":2024,"lang":"en","type":"article","venue":"Communications Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Royal Ottawa Mental Health Centre; University of Ottawa","funders":"","keywords":"Electroencephalography; Dynamics (music); Entrainment (biomusicology); Task (project management); Neural activity; Spectral density; Psychology; Artificial neural network; Neural correlates of consciousness; Encoding (memory); Neuroscience; Computer science; Rhythm; Pattern recognition (psychology); Artificial intelligence; Cognition; Cognitive psychology; Physics; Acoustics","score_opus":0.12752552152452454,"score_gpt":0.378243939390188,"score_spread":0.2507184178656635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404522586","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9848337,0.0003427512,0.0012227959,0.011358184,0.0005968218,0.00038403706,0.00029539838,0.00007655634,0.00088975567],"genre_scores_gemma":[0.9977632,0.00016276645,0.0007770381,0.0010289283,0.000032119442,0.00005936779,0.000093196584,0.000018744346,0.000064622545],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985517,0.00038768348,0.00040832776,0.0003495043,0.00009493635,0.00020784732],"domain_scores_gemma":[0.99372196,0.005011193,0.000088387234,0.0011034937,0.000041857547,0.000033106644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034658544,0.00013323259,0.00017135602,0.00021403165,0.00019057932,0.000070093665,0.0014067873,0.00011074645,0.000047880498],"category_scores_gemma":[0.0013760976,0.000102194215,0.00007388845,0.000816723,0.00017947116,0.000116428484,0.0009571962,0.0004126249,0.000051966526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056072313,0.00018199728,0.015360723,0.00001532773,0.000010006194,0.000012048664,0.0009402037,0.00064345665,0.11970375,0.15473808,0.00030747647,0.7080309],"study_design_scores_gemma":[0.00009858814,0.00008215741,0.008255169,0.00012130804,0.00001317349,0.000016688276,0.0001331069,0.98378223,0.0003223783,0.004749064,0.0022849157,0.00014121707],"about_ca_topic_score_codex":0.00010946394,"about_ca_topic_score_gemma":0.001982978,"teacher_disagreement_score":0.9831388,"about_ca_system_score_codex":0.0001749223,"about_ca_system_score_gemma":0.000038233382,"threshold_uncertainty_score":0.41673592},"labels":[],"label_agreement":null},{"id":"W4404535551","doi":"10.3390/e26110981","title":"Non-Equilibrium Quantum Brain Dynamics: Water Coupled with Phonons and Photons","year":2024,"lang":"en","type":"article","venue":"Entropy","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Phonon; Photon; Physics; Dynamics (music); Quantum; Statistical physics; Quantum dynamics; Quantum mechanics","score_opus":0.008880241954654321,"score_gpt":0.22581459508070803,"score_spread":0.21693435312605372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404535551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914275,0.000024177056,0.0018100999,0.004976871,0.00072869664,0.00023714686,0.000031165193,0.00017574434,0.00058863586],"genre_scores_gemma":[0.99575615,0.00001518211,0.000040291623,0.0008003598,0.000087078995,0.000018613393,0.000018068888,0.0000339966,0.0032302567],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988823,0.000027643357,0.00012689973,0.00046219263,0.00017445796,0.00032650595],"domain_scores_gemma":[0.9995628,0.00013195502,0.00001784248,0.00018364133,0.000012245621,0.00009151478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008492429,0.00015920497,0.00013171992,0.00008811587,0.00010210747,0.00022945364,0.00010308539,0.00004362133,0.00014128286],"category_scores_gemma":[0.000022402557,0.00009919916,0.00004231441,0.00015893368,0.00012070582,0.00020946268,0.00006880201,0.00018138425,0.0001593004],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006224258,0.000026648378,0.00013759233,0.00003413652,0.000008090505,0.00014764362,0.0001581799,0.00005225133,0.9851785,0.0130516635,0.0009259671,0.00021709777],"study_design_scores_gemma":[0.0003650034,0.00024536875,0.00025866303,0.00003657524,0.000016476628,0.00011978738,0.000032062504,0.8968609,0.0966758,0.0015547646,0.00363459,0.0001999807],"about_ca_topic_score_codex":0.00003959483,"about_ca_topic_score_gemma":0.000023008462,"teacher_disagreement_score":0.8968087,"about_ca_system_score_codex":0.000049526043,"about_ca_system_score_gemma":0.000025468798,"threshold_uncertainty_score":0.40452245},"labels":[],"label_agreement":null},{"id":"W4404535977","doi":"10.3390/e26110996","title":"Derangetropy in Probability Distributions and Information Dynamics","year":2024,"lang":"en","type":"article","venue":"Entropy","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of Toronto","funders":"","keywords":"Statistical physics; Probability distribution; Information theory; Scalar (mathematics); Entropy (arrow of time); Computer science; Principle of maximum entropy; Mathematics; Probability and statistics; Representation (politics); Information diagram; Theoretical computer science; Maximum entropy thermodynamics; Artificial intelligence; Binary entropy function; Statistics; Physics","score_opus":0.011570305978775348,"score_gpt":0.23322486881661253,"score_spread":0.2216545628378372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404535977","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9840191,0.000031151416,0.012077063,0.002315543,0.00041171405,0.00020408223,0.000092642535,0.00010423898,0.0007444709],"genre_scores_gemma":[0.9995997,0.000041110736,0.0000990658,0.00014380807,0.000021030832,0.000014425465,0.000029917604,0.000003166621,0.00004776439],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99948895,0.000032799515,0.00012525609,0.00014060765,0.00009058727,0.00012181717],"domain_scores_gemma":[0.9997892,0.000080100486,0.0000143360085,0.00007680323,0.000008879734,0.000030682255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000076263685,0.00005915441,0.000052137682,0.000068661226,0.000056051966,0.00013254602,0.000040763072,0.000028857496,0.000019277366],"category_scores_gemma":[0.00019928969,0.000050332605,0.000019637153,0.00025445377,0.000044275363,0.0006702054,0.00002826448,0.00011796528,0.000038744307],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015547575,0.000025009409,0.0027675943,0.000053287586,0.0000010731932,0.000008191912,0.00007596577,0.000044148444,0.011917562,0.9709477,0.00015357167,0.013990337],"study_design_scores_gemma":[0.0004000626,0.00011325712,0.04514591,0.00004856076,0.000008463013,0.0000463541,0.000029046385,0.8401701,0.005370017,0.08956743,0.018874867,0.00022596611],"about_ca_topic_score_codex":0.00001687073,"about_ca_topic_score_gemma":0.000026603697,"teacher_disagreement_score":0.88138026,"about_ca_system_score_codex":0.00012310121,"about_ca_system_score_gemma":0.000016120328,"threshold_uncertainty_score":0.2052504},"labels":[],"label_agreement":null},{"id":"W4404553647","doi":"10.1016/j.plrev.2024.11.012","title":"Connecting brain and mind through temporo-spatial dynamics: Towards a theory of common currency","year":2024,"lang":"en","type":"review","venue":"Physics of Life Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Royal Ottawa Mental Health Centre","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Social Sciences and Humanities Research Council of Canada; Physicians' Services Incorporated Foundation; Horizon 2020 Framework Programme; HORIZON EUROPE Framework Programme","keywords":"Dynamics (music); Computer science; Currency; Cognitive psychology; Artificial intelligence; Cognitive science; Neuroscience; Psychology; Linguistics","score_opus":0.15616784788838214,"score_gpt":0.3863355226612733,"score_spread":0.23016767477289116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404553647","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000088326604,0.994782,0.0012545283,0.000079738464,0.0007373908,0.0013862269,0.00041583885,0.000024334535,0.0012316302],"genre_scores_gemma":[0.000720924,0.99845773,0.00014142544,0.00010078742,0.00029897582,0.000057897265,0.00007854985,0.00007371036,0.00006999683],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99605083,0.00096584525,0.00164802,0.0007503192,0.0003202212,0.00026477754],"domain_scores_gemma":[0.99638665,0.0011545451,0.0017462893,0.00058278174,0.000045826142,0.00008392776],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009862188,0.0005748651,0.003180919,0.00009344985,0.00007877171,0.000052451953,0.00044546518,0.00016915821,0.000018338553],"category_scores_gemma":[0.0014481636,0.0004089686,0.0008857023,0.00058495876,0.00017544712,0.00019917665,0.00033938757,0.0005954379,0.000033216256],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004405893,0.000080617945,9.275369e-7,0.04621887,0.000033722023,0.0000022855406,0.000118432305,3.4524686e-7,0.00003585334,0.01958809,0.0001605375,0.93375593],"study_design_scores_gemma":[0.00014374626,0.00018372152,3.7054375e-7,0.031861037,0.0010271292,0.000025691246,0.000019909488,0.00087988854,0.00005351864,0.019733705,0.94553125,0.0005400523],"about_ca_topic_score_codex":0.000053577227,"about_ca_topic_score_gemma":0.00001554958,"teacher_disagreement_score":0.9453707,"about_ca_system_score_codex":0.000058172838,"about_ca_system_score_gemma":0.00018856554,"threshold_uncertainty_score":0.9998362},"labels":[],"label_agreement":null},{"id":"W4404597328","doi":"10.1093/cercor/bhae455","title":"Introspective psychophysics for the study of subjective experience","year":2024,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Introspection; Psychophysics; Psychology; Cognitive psychology; Perception; Phenomenology (philosophy); Cognitive science; Neuroscience; Epistemology","score_opus":0.03135590771844033,"score_gpt":0.3058260289288665,"score_spread":0.2744701212104262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404597328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944737,0.000030667554,0.0020834247,0.00015914718,0.001638869,0.00090538495,0.000021450212,0.00006603336,0.0006213526],"genre_scores_gemma":[0.9990614,0.0000069034036,0.000010577981,0.0001542557,0.00015541163,0.00014101164,6.931958e-7,0.000015612408,0.00045411428],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99911433,0.00003435267,0.00014559757,0.00038035135,0.00017728344,0.00014809147],"domain_scores_gemma":[0.99919677,0.00046824882,0.000047117195,0.00021885833,0.00004457582,0.00002444314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006155523,0.00010364784,0.00011075494,0.000037519876,0.00015542199,0.00006790725,0.00020469989,0.000021725704,0.000024171099],"category_scores_gemma":[0.00011019381,0.00006558752,0.00007556429,0.00038925765,0.00009967888,0.00016068325,0.00004592256,0.00012420276,0.000010519801],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052693207,0.00085274165,0.0029902305,0.000079185666,0.00007511032,0.000017594019,0.019161055,0.00016409007,0.8157683,0.1131281,0.0012268773,0.046009786],"study_design_scores_gemma":[0.0041242214,0.011028071,0.29960248,0.00014042533,0.00026385603,0.000060933227,0.027399246,0.27978313,0.26468828,0.10695317,0.0046551125,0.0013010773],"about_ca_topic_score_codex":0.00003450841,"about_ca_topic_score_gemma":0.000024574905,"teacher_disagreement_score":0.55108,"about_ca_system_score_codex":0.000031795407,"about_ca_system_score_gemma":0.000019463125,"threshold_uncertainty_score":0.26745814},"labels":[],"label_agreement":null},{"id":"W4404623454","doi":"10.1038/s42003-024-07256-5","title":"Claustrum modulation drives altered prefrontal cortex dynamics and connectivity","year":2024,"lang":"en","type":"article","venue":"Communications Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta","funders":"Canadian Institutes of Health Research; Canada Foundation for Innovation; Canada Research Chairs; Scottish Rite Charitable Foundation of Canada; Government of Canada; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada","keywords":"Claustrum; Prefrontal cortex; Neuroscience; Sensory system; Ventromedial prefrontal cortex; Cortex (anatomy); Calcium imaging; Cerebral cortex; Biology; Psychology; Chemistry; Calcium; Cognition","score_opus":0.04515743340806012,"score_gpt":0.3115752269360062,"score_spread":0.2664177935279461,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404623454","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98731124,0.00026703306,0.005739515,0.0034386253,0.0005297321,0.00020578872,0.000080572136,0.00017225371,0.0022552556],"genre_scores_gemma":[0.99868333,0.00044346324,0.00028514423,0.00015249496,0.00003205665,0.000023962428,0.000116326955,0.000009885888,0.00025332798],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921894,0.00020845837,0.00013896571,0.0002757743,0.000033229273,0.00012465392],"domain_scores_gemma":[0.9988621,0.00048083186,0.00003887722,0.00056698144,0.000017020584,0.000034173434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000089329165,0.00008677437,0.00009462213,0.000082623745,0.00022857026,0.000059571066,0.00026549277,0.00007985316,0.000012646339],"category_scores_gemma":[0.0001337697,0.000078241355,0.00002928675,0.00015758487,0.00032394382,0.00013849912,0.0002852552,0.0002007012,0.000019324847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012020863,0.000050950912,0.0041798837,0.000013919176,0.000009402104,8.502464e-7,0.00012999008,0.000013176004,0.48464018,0.44095367,0.00006656071,0.0699294],"study_design_scores_gemma":[0.00010642674,0.0001014804,0.06408176,0.000013007439,0.00000971811,0.00004177829,0.000033433847,0.9105823,0.0008519924,0.021327341,0.002732287,0.00011846786],"about_ca_topic_score_codex":0.00003580983,"about_ca_topic_score_gemma":0.0002431773,"teacher_disagreement_score":0.91056913,"about_ca_system_score_codex":0.00006446085,"about_ca_system_score_gemma":0.000018645165,"threshold_uncertainty_score":0.31905898},"labels":[],"label_agreement":null},{"id":"W4404626309","doi":"10.1016/j.bbr.2024.115355","title":"Resting-state functional connectivity in gelotophobes: A neuroscientific perspective on the fear of laughter","year":2024,"lang":"en","type":"article","venue":"Behavioural Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre","funders":"Ministry of Science and Technology, Taiwan; National Science and Technology Council","keywords":"Laughter; Functional connectivity; Psychology; Perspective (graphical); Resting state fMRI; Neuroscience; Cognitive psychology","score_opus":0.1860798740446557,"score_gpt":0.38498441880643863,"score_spread":0.19890454476178293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404626309","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98208517,0.000028959144,0.000021959067,0.014682176,0.0007554521,0.0006447534,0.000069547794,0.00006706956,0.0016449176],"genre_scores_gemma":[0.99218357,0.000010761852,0.0000046503155,0.00037315403,0.000053181626,0.00008236104,0.0000028483494,0.000027783859,0.007261696],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99621207,0.00108906,0.0002541897,0.00081221596,0.0011060009,0.000526448],"domain_scores_gemma":[0.9933406,0.005999675,0.000039960752,0.00037396807,0.00016749691,0.00007828397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023362606,0.00015647445,0.00014954543,0.00055718457,0.00034735468,0.00028226912,0.00034581596,0.00005973859,0.00017782755],"category_scores_gemma":[0.0048948023,0.00010579791,0.00011049879,0.0018927933,0.00059536257,0.00020351642,0.0001922874,0.0010845442,0.00012207468],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026446173,0.0002826807,0.0032160114,0.000037604,0.0000031458687,0.00028989065,0.0007558242,0.00017445092,0.9214574,0.06534574,0.006998064,0.0011747024],"study_design_scores_gemma":[0.0013365207,0.0020514545,0.54295665,0.00070568017,0.000014014716,0.00020177565,0.0019053753,0.057714984,0.33990246,0.048610594,0.0038207716,0.00077968434],"about_ca_topic_score_codex":0.0005968048,"about_ca_topic_score_gemma":0.00029778562,"teacher_disagreement_score":0.58155495,"about_ca_system_score_codex":0.00027216942,"about_ca_system_score_gemma":0.00018667175,"threshold_uncertainty_score":0.5859889},"labels":[],"label_agreement":null},{"id":"W4404652429","doi":"10.1101/2024.11.22.624912","title":"A modular gate system for autonomous control of rodent behavior","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Modular design; Python (programming language); Embedded system; Software; Documentation; Extensibility; Construct (python library); Interface (matter); Operating system; Programming language","score_opus":0.01759563815728516,"score_gpt":0.22575325500258572,"score_spread":0.20815761684530057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404652429","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98261636,0.00038134222,0.005989963,0.00017725326,0.0054599876,0.0026937723,0.0020125424,0.0006607773,0.00000798877],"genre_scores_gemma":[0.9976193,0.0000277538,0.00044433778,0.00012190692,0.0003466986,0.001256596,2.5881093e-7,0.00016404912,0.000019152263],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968574,0.00012919522,0.00073390617,0.0013370962,0.00042523813,0.0005171699],"domain_scores_gemma":[0.99779075,0.00013684164,0.0005167076,0.0010671582,0.00029831097,0.00019021139],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00048494575,0.0005232016,0.00071704754,0.0003057162,0.00013276126,0.00023197691,0.0005758872,0.00040458393,0.0000074799486],"category_scores_gemma":[0.00023167512,0.0005172205,0.00038108538,0.0003356788,0.000109575834,0.00007962118,0.0004226091,0.0005904114,0.000044137178],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054369928,0.00011540323,0.00012215429,0.0016672423,0.000042823325,0.00008444769,0.0000032319028,0.0009549412,0.9893912,0.007533867,0.000026867117,0.0000034187763],"study_design_scores_gemma":[0.00084718067,0.00016969319,0.0036785728,0.00070379284,0.00048754935,1.0845847e-7,0.0000016565846,0.086283386,0.9061115,0.000013097279,0.0009941618,0.0007092987],"about_ca_topic_score_codex":0.000034636272,"about_ca_topic_score_gemma":9.556331e-7,"teacher_disagreement_score":0.085328445,"about_ca_system_score_codex":0.00038701072,"about_ca_system_score_gemma":0.00037180155,"threshold_uncertainty_score":0.99972796},"labels":[],"label_agreement":null},{"id":"W4404730186","doi":"10.3389/fpsyg.2024.1493423","title":"The function(s) of consciousness: an evolutionary perspective","year":2024,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Psychology; Perspective (graphical); Consciousness; Function (biology); Cognitive science; Cognitive psychology; Neuroscience; Artificial intelligence; Evolutionary biology; Computer science","score_opus":0.0181247472912762,"score_gpt":0.30188239680336726,"score_spread":0.28375764951209104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404730186","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53786504,0.020199642,0.1823101,0.030049888,0.13077712,0.001606175,0.00014231139,0.0007049059,0.0963448],"genre_scores_gemma":[0.99778295,0.00040044895,0.00038217884,0.000798111,0.000114956405,0.00002394034,0.0000019820832,0.000013541603,0.0004819007],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990049,0.0001707073,0.00016623452,0.0003742478,0.000108861714,0.00017506331],"domain_scores_gemma":[0.99953884,0.00014131305,0.00003422864,0.0002278601,0.000030075988,0.000027654105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017714094,0.00007833952,0.000099378456,0.00016376388,0.00010754123,0.000022494696,0.00018678304,0.000067989786,0.000025405358],"category_scores_gemma":[0.00012234703,0.000056989385,0.000045734454,0.00044179597,0.00038340178,0.00013980303,0.000021232556,0.0002046201,0.000015434754],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009735812,0.00033580515,0.0067432653,0.000029609271,0.00004534139,0.000100586694,0.000896763,0.000105463834,0.07823348,0.5147179,0.21120994,0.18660827],"study_design_scores_gemma":[0.0005293863,0.00068209175,0.019093206,0.000025991274,0.0000187202,0.00009373189,0.0016526602,0.024165897,0.0005668292,0.8479199,0.10503725,0.00021437397],"about_ca_topic_score_codex":0.000010559918,"about_ca_topic_score_gemma":0.000010889694,"teacher_disagreement_score":0.4599179,"about_ca_system_score_codex":0.00005671808,"about_ca_system_score_gemma":0.00003385066,"threshold_uncertainty_score":0.23239598},"labels":[],"label_agreement":null},{"id":"W4404762581","doi":"10.7554/elife.93060.3","title":"Aligned and oblique dynamics in recurrent neural networks","year":2024,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Science North","funders":"Agence Nationale de la Recherche; Deutsche Forschungsgemeinschaft; Israel Science Foundation; Human Frontier Science Program","keywords":"Oblique case; Feed forward; Artificial neural network; Recurrent neural network; Feedforward neural network; Computer science; Stability (learning theory); Relation (database); Representation (politics); Perspective (graphical); Artificial intelligence; Dynamics (music); Physics; Control theory (sociology); Statistical physics; Control (management); Machine learning; Engineering; Control engineering","score_opus":0.016727713033283444,"score_gpt":0.2594451815140629,"score_spread":0.24271746848077944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404762581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99366695,0.00030631016,0.0010391461,0.0020711194,0.0017647754,0.00015314668,0.000008818698,0.00012221518,0.0008675228],"genre_scores_gemma":[0.99817014,0.00028888226,0.000015363976,0.0011107251,0.00010885769,0.000009683594,0.000005709795,0.000013374981,0.000277275],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919903,0.00005933374,0.00013633515,0.00030494606,0.000120968296,0.00017940132],"domain_scores_gemma":[0.99968845,0.00014143782,0.000016594735,0.00009345666,0.000007559431,0.000052496074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011978479,0.00009128811,0.00008301285,0.00008660372,0.000041778127,0.000113940485,0.000056629375,0.000047737176,0.000009922727],"category_scores_gemma":[0.000093190676,0.0000786535,0.000026779564,0.00029981066,0.000036046622,0.00012786206,0.00005628981,0.00011348183,0.000008972696],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002560637,0.00029892777,0.012393563,0.00031084314,0.0000166781,0.001817575,0.00059164286,0.018405989,0.07478827,0.40007976,0.008971346,0.48206937],"study_design_scores_gemma":[0.00008221064,0.000057677385,0.0011778586,0.00002804781,0.0000021525714,0.000036366237,0.000008756677,0.99627405,0.00047884617,0.00037615522,0.0013852236,0.00009265158],"about_ca_topic_score_codex":0.00001704763,"about_ca_topic_score_gemma":0.00010949335,"teacher_disagreement_score":0.9778681,"about_ca_system_score_codex":0.00006493224,"about_ca_system_score_gemma":0.000011308872,"threshold_uncertainty_score":0.3207397},"labels":[],"label_agreement":null},{"id":"W4404856835","doi":"10.1038/s42003-024-07224-z","title":"A function-based mapping of sensory integration along the cortical hierarchy","year":2024,"lang":"en","type":"article","venue":"Communications Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Children's Hospital; Queen's University; University of British Columbia","funders":"China Scholarship Council; European Commission; National Institute for Health and Care Research; Department of Health and Social Care; Wellcome Trust","keywords":"Sensory system; Stimulus modality; Cognition; Hierarchy; Sensory processing; Sensory cortex; Psychology; Computer science; Neuroscience","score_opus":0.09279561692566386,"score_gpt":0.3207365600937791,"score_spread":0.22794094316811525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404856835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7415337,0.0020051226,0.19187316,0.04908819,0.0021707874,0.00091416814,0.0001131016,0.0005155861,0.011786186],"genre_scores_gemma":[0.99838203,0.00012222766,0.0003796706,0.000855362,0.0000284559,0.000038593964,0.000035791643,0.000007226478,0.00015061951],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989837,0.00047474384,0.00021996883,0.00016664714,0.000051484523,0.00010350192],"domain_scores_gemma":[0.99695766,0.002188765,0.000047180583,0.0007451441,0.000042008134,0.00001924752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024914386,0.000067159104,0.00008073867,0.00011257632,0.00025623466,0.000028821853,0.00040068402,0.00005615674,0.00003519581],"category_scores_gemma":[0.0005110298,0.000044019584,0.000061915496,0.0003987116,0.00050336035,0.00005086119,0.00011250383,0.00030820823,0.000037183687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011840991,0.000035494482,0.0003663673,0.000009913628,0.00000579042,4.4358723e-7,0.00009472021,0.00002878379,0.67862463,0.29705057,0.00015392732,0.023617508],"study_design_scores_gemma":[0.00022967094,0.0002823228,0.0067321127,0.00009932915,0.00004408185,0.000028979222,0.00024789784,0.8548432,0.03304036,0.023613801,0.08063206,0.0002061842],"about_ca_topic_score_codex":0.000027598568,"about_ca_topic_score_gemma":0.000045019537,"teacher_disagreement_score":0.8548144,"about_ca_system_score_codex":0.000023853194,"about_ca_system_score_gemma":0.00005236189,"threshold_uncertainty_score":0.19707759},"labels":[],"label_agreement":null},{"id":"W4404962483","doi":"10.21203/rs.3.rs-5485282/v1","title":"Cortico-thalamic communication for action coordination in a skilled motor sequence","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Sequence (biology); Action (physics); Motor coordination; Neuroscience; Communication; Psychology; Computer science; Biology; Physics; Genetics","score_opus":0.20575431298307872,"score_gpt":0.4620637108573475,"score_spread":0.25630939787426876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404962483","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9875135,0.00019700301,0.0003587976,0.005984516,0.0008156184,0.003851113,0.0002604977,0.00018027487,0.0008386678],"genre_scores_gemma":[0.99402916,0.00049198366,0.00013598283,0.000055107455,0.00011390166,0.0016080714,0.00020721232,0.000051503546,0.0033070617],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967594,0.0007592739,0.0003963615,0.00084278313,0.00076516106,0.00047701044],"domain_scores_gemma":[0.9973265,0.0013831634,0.00012958424,0.0007368458,0.00034632563,0.000077610486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015280275,0.00020684105,0.0002453874,0.0008080193,0.00026307863,0.00036678548,0.00053896307,0.00030539642,0.000028891793],"category_scores_gemma":[0.0027935866,0.00020237689,0.00014152838,0.00073651265,0.00016303938,0.0001542213,0.0009645322,0.0018395614,0.00008086374],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036783947,0.0003444922,0.00036427254,0.0032195481,0.000013353965,0.00003726476,0.00051551516,0.0013976252,0.9387396,0.028599314,0.0015464926,0.024854707],"study_design_scores_gemma":[0.0008686307,0.00051137124,0.0050314656,0.0021155796,0.000020352829,0.000020187961,0.00030748284,0.7596903,0.027797429,0.20017402,0.0029494395,0.00051377784],"about_ca_topic_score_codex":0.000309187,"about_ca_topic_score_gemma":0.0003533563,"teacher_disagreement_score":0.91094214,"about_ca_system_score_codex":0.0009396425,"about_ca_system_score_gemma":0.00029344388,"threshold_uncertainty_score":0.82526904},"labels":[],"label_agreement":null},{"id":"W4405061251","doi":"10.1371/journal.pcsy.0000024","title":"Long-range temporal correlation development in resting-state fMRI signal in preterm infants: Scanned shortly after birth and at term-equivalent age","year":2024,"lang":"en","type":"article","venue":"PLOS complex systems.","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Sinai Hospital; BC Children's Hospital; University of Toronto; SickKids Foundation; Hospital for Sick Children; University of British Columbia","funders":"Canadian Institutes of Health Research; Cystic Fibrosis Canada","keywords":"Hurst exponent; Resting state fMRI; Correlation; White matter; Gestational age; Cerebellum; Psychology; Neuroscience; Medicine; Mathematics; Biology; Statistics; Magnetic resonance imaging","score_opus":0.04875232782787084,"score_gpt":0.25568521049498194,"score_spread":0.2069328826671111,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405061251","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976064,0.00023745405,0.00019377752,0.00006704589,0.0004452838,0.0009695862,0.000046157606,0.00012569154,0.00030861833],"genre_scores_gemma":[0.99853534,0.000014729208,0.00003849921,0.000087006294,0.00004785864,0.00016913956,0.000029147574,0.00003629626,0.0010419654],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976659,0.00023220589,0.00063843396,0.0006665491,0.0004136234,0.00038328176],"domain_scores_gemma":[0.9994025,0.00019630668,0.00010250382,0.00018244227,0.000019676287,0.000096548116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029824994,0.00024560853,0.00029237088,0.00038139542,0.00009475988,0.00024167573,0.00013298664,0.000068304755,0.000040620045],"category_scores_gemma":[0.000059093723,0.0002202817,0.000034868837,0.0004080322,0.000074084994,0.0002991761,0.00017158453,0.00022018523,0.000036360023],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051342574,0.00013623817,0.91446936,0.0015548789,0.000016248725,0.0021923857,0.0023812796,0.0014106595,0.07524822,0.00012460048,0.00009804611,0.0018546234],"study_design_scores_gemma":[0.00060241745,0.00013529627,0.6978954,0.0015945393,0.00000792542,0.000099082776,0.000019957932,0.2977664,0.00079593196,0.000055197226,0.00063779484,0.00039009316],"about_ca_topic_score_codex":0.00009140403,"about_ca_topic_score_gemma":0.0010766014,"teacher_disagreement_score":0.29635572,"about_ca_system_score_codex":0.00033060784,"about_ca_system_score_gemma":0.00005043674,"threshold_uncertainty_score":0.8982827},"labels":[],"label_agreement":null},{"id":"W4405106943","doi":"10.1016/j.bbr.2024.115389","title":"Tactile suppression is linked to movement onset for startle-triggered responses","year":2024,"lang":"en","type":"article","venue":"Behavioural Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Neuroscience; Psychology; Moro reflex; Audiology; Medicine; Reflex","score_opus":0.22171808358665238,"score_gpt":0.43991522062308613,"score_spread":0.21819713703643376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405106943","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95992273,0.0000418849,0.00017660341,0.03580189,0.0008742857,0.0017774877,0.0010103122,0.00018956023,0.00020522167],"genre_scores_gemma":[0.95586425,0.000018963692,0.00020794109,0.0029310957,0.00014216984,0.00048020165,0.000041244093,0.000057096306,0.040257033],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99633324,0.00049297285,0.00032046656,0.00092149863,0.0010879327,0.0008438593],"domain_scores_gemma":[0.9957492,0.0032743951,0.000028491895,0.00047578293,0.0001704466,0.0003017027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015257671,0.00020361968,0.00018680224,0.0006007706,0.0005411856,0.00053983077,0.00044473645,0.00012619844,0.00054389104],"category_scores_gemma":[0.0022788846,0.00016701562,0.00015371015,0.0009016938,0.000116101895,0.00026301097,0.00029863365,0.00054451503,0.00033381488],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005959399,0.000086843604,0.0002519044,0.000044135188,0.0000035016415,0.00005946549,0.00026682628,0.0000044212825,0.8339448,0.0006040508,0.15569998,0.008438138],"study_design_scores_gemma":[0.0007470485,0.0018477746,0.0077629113,0.00022691264,0.000014095034,0.000020667008,0.00019893867,0.0095735155,0.83712316,0.00493428,0.137083,0.00046770353],"about_ca_topic_score_codex":0.00018085926,"about_ca_topic_score_gemma":0.000030440797,"teacher_disagreement_score":0.04005181,"about_ca_system_score_codex":0.00022158894,"about_ca_system_score_gemma":0.00018618934,"threshold_uncertainty_score":0.68106997},"labels":[],"label_agreement":null},{"id":"W4405209731","doi":"10.1137/23m1618028","title":"Distributed Delay and Desynchronization in a Neural Mass Model","year":2024,"lang":"en","type":"article","venue":"SIAM Journal on Applied Dynamical Systems","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Artificial neural network; Artificial intelligence","score_opus":0.015938868755054184,"score_gpt":0.2406103731689951,"score_spread":0.22467150441394093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405209731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7875927,0.0001732891,0.20880255,0.00064647134,0.0011599034,0.00044769465,0.000060400842,0.00014350416,0.0009734595],"genre_scores_gemma":[0.9993986,0.000050308012,0.000058887494,0.00017973756,0.00013669181,0.000021464675,0.000013303147,0.000031056985,0.000109936045],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983592,0.00010146315,0.0004221583,0.0004146555,0.00037033277,0.00033219776],"domain_scores_gemma":[0.99942327,0.00019350642,0.00008185333,0.00011534744,0.000018405497,0.00016761872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028105456,0.0001942374,0.00022062531,0.00019759675,0.00013974385,0.0005979709,0.00013712779,0.00011675576,0.000005876573],"category_scores_gemma":[0.00006719918,0.00015007009,0.000053808646,0.00044358027,0.00005689007,0.00016932342,0.000033017834,0.0006055507,0.0000233372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015877439,0.000076236,0.00012895043,0.00011885788,0.000009328258,0.0003432281,0.000051945066,0.58049285,0.24940187,0.16352414,0.00014223656,0.0055516073],"study_design_scores_gemma":[0.0003528529,0.00008231242,0.0001409125,0.00009609153,0.000007658395,0.00040168414,0.00001658475,0.99515265,0.00012275878,0.003236253,0.00022395699,0.0001662562],"about_ca_topic_score_codex":0.0000049786654,"about_ca_topic_score_gemma":0.0000034425736,"teacher_disagreement_score":0.41465986,"about_ca_system_score_codex":0.00028416392,"about_ca_system_score_gemma":0.000038533468,"threshold_uncertainty_score":0.61196804},"labels":[],"label_agreement":null},{"id":"W4405242466","doi":"10.1101/2024.12.05.627057","title":"In Search of Transcriptomic Correlates of Neuronal Firing-Rate Adaptation across Subtypes, Regions and Species: A Patch-seq Analysis","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Common Fund; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Office of Naval Research; Simons Foundation; National Science Foundation; National Institutes of Health; Canada First Research Excellence Fund","keywords":"Neuroscience; ENCODE; Parvalbumin; Macaque; Biology; Transcriptome; Visual cortex; Adaptation (eye); Calcium imaging; Gene; Gene expression; Genetics; Calcium; Chemistry","score_opus":0.030627904185795977,"score_gpt":0.24794059211942104,"score_spread":0.21731268793362507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405242466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968641,0.00035985606,0.00063157,0.00028621688,0.00070877123,0.0004087345,0.0006674515,0.00006932508,0.000003986064],"genre_scores_gemma":[0.99900615,0.00062399486,0.00013168044,0.00006770478,0.000055399454,0.00003281595,5.899267e-7,0.000055009543,0.000026647283],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99734163,0.00024190889,0.00067515485,0.0009906036,0.0003702831,0.0003804372],"domain_scores_gemma":[0.9985605,0.00026170295,0.00031408295,0.0005716482,0.00018134853,0.0001107468],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005921013,0.00034256672,0.0006210608,0.0006204225,0.0000777639,0.000115904804,0.0003227583,0.00027018192,0.000020254725],"category_scores_gemma":[0.00024023432,0.00035317105,0.00022301721,0.0018472199,0.00028877234,0.00014067368,0.00032609203,0.00080570724,0.000006108238],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009639646,0.0001028476,0.015783887,0.0005940556,0.00010050261,0.000045629306,0.00014697817,0.005134542,0.9746778,0.0032993327,0.000015986387,0.0000020194764],"study_design_scores_gemma":[0.0006258088,0.00017477409,0.42297393,0.0005258161,0.00048489918,6.0126496e-8,0.000028089718,0.170039,0.40418944,0.00015991597,0.00012907015,0.0006692128],"about_ca_topic_score_codex":0.00025805732,"about_ca_topic_score_gemma":0.00011018159,"teacher_disagreement_score":0.5704884,"about_ca_system_score_codex":0.000105123945,"about_ca_system_score_gemma":0.00023312293,"threshold_uncertainty_score":0.99989206},"labels":[],"label_agreement":null},{"id":"W4405253241","doi":"10.1111/ejn.16641","title":"Perspective: Hippocampal theta rhythm as a potential vestibuloacoustic biomarker of anxiety","year":2024,"lang":"en","type":"review","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; University of Manitoba; Riverview Hospital","funders":"","keywords":"Anxiety; Neuroscience; Hippocampal formation; Biomarker; Psychology; Rhythm; Medicine; Psychiatry; Biology; Internal medicine","score_opus":0.05721353211100713,"score_gpt":0.32603614022503635,"score_spread":0.26882260811402925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405253241","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013944826,0.9801087,0.00095521257,0.00025960425,0.010752363,0.00056721625,0.00013444292,0.00008290949,0.0057450975],"genre_scores_gemma":[0.03032501,0.9674587,0.000050196617,0.00025325903,0.0004374748,0.0000014998894,9.231984e-7,0.00012331137,0.0013495767],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9943679,0.0016551076,0.0013878635,0.0009436326,0.0011558784,0.0004896257],"domain_scores_gemma":[0.99706876,0.0002160747,0.0016665139,0.0005342471,0.00021727532,0.0002971042],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013831531,0.00058206293,0.001182122,0.0007209822,0.00019563362,0.0003086151,0.0014770919,0.00007458233,0.000027256665],"category_scores_gemma":[0.002281231,0.00039607752,0.0010177782,0.0017210637,0.00071974524,0.0003812483,0.00045790858,0.0012355404,0.00015041747],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000118355965,0.00041044477,4.8156585e-7,0.0048067137,0.000051722902,0.014216908,0.00024129922,0.00020872292,0.22060324,0.002242508,0.0019988888,0.7551007],"study_design_scores_gemma":[0.00041830368,0.0019787943,0.00009244863,0.007975417,0.0015054421,0.054966826,0.000052089432,0.0018454163,0.00017157712,0.0007691266,0.92934275,0.0008818161],"about_ca_topic_score_codex":0.0000018702934,"about_ca_topic_score_gemma":1.043432e-7,"teacher_disagreement_score":0.92734385,"about_ca_system_score_codex":0.00013590635,"about_ca_system_score_gemma":0.0005241102,"threshold_uncertainty_score":0.9998491},"labels":[],"label_agreement":null},{"id":"W4405269959","doi":"10.1007/s11071-024-10670-3","title":"Input driven synchronization of chaotic neural networks with analyticaly determined conditional Lyapunov exponents","year":2024,"lang":"en","type":"article","venue":"Nonlinear Dynamics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Lyapunov exponent; Control theory (sociology); Synchronization (alternating current); Eigenvalues and eigenvectors; Lyapunov function; Chaotic; Mathematics; Recurrent neural network; Aperiodic graph; Artificial neural network; Matrix (chemical analysis); Stability (learning theory); Computer science; Applied mathematics; Topology (electrical circuits); Nonlinear system; Physics; Artificial intelligence","score_opus":0.0139103470813118,"score_gpt":0.24659893731950214,"score_spread":0.23268859023819033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405269959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.788489,0.000017196771,0.20985168,0.0003502821,0.00055168656,0.0002508031,0.00014067904,0.00014665724,0.00020201734],"genre_scores_gemma":[0.9978674,0.000018723316,0.0008095103,0.00023287768,0.00018400203,0.000007742933,0.0005296124,0.000041756353,0.00030839705],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99859387,0.000059469014,0.00030676377,0.00042868702,0.00035370665,0.00025752906],"domain_scores_gemma":[0.9992751,0.00022745405,0.00012283056,0.0002131687,0.00007875721,0.0000827307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007754973,0.00018763864,0.00020230332,0.00016660425,0.000086708525,0.000086480235,0.00017002616,0.00009434812,0.00004402377],"category_scores_gemma":[0.000117999916,0.00015360641,0.00008081666,0.0006228028,0.00016395602,0.00023058942,0.000059190854,0.0002392576,0.000013235223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003672798,0.0004971039,0.010478251,0.00038373464,0.00010291442,0.0005061472,0.00013510248,0.90607214,0.035915483,0.02052677,0.00009746101,0.024917603],"study_design_scores_gemma":[0.0002738379,0.00023384791,0.0013542379,0.00006104191,0.000043985136,0.00008269654,0.000007633842,0.9971448,0.00036991286,0.0002109117,0.00004956395,0.00016749764],"about_ca_topic_score_codex":0.0000063238135,"about_ca_topic_score_gemma":0.000052450312,"teacher_disagreement_score":0.20937839,"about_ca_system_score_codex":0.000110746594,"about_ca_system_score_gemma":0.00005914401,"threshold_uncertainty_score":0.6263887},"labels":[],"label_agreement":null},{"id":"W4405281020","doi":"10.7554/elife.100830.1.sa1","title":"Reviewer #1 (Public review): Minimal background noise enhances neural speech tracking: Evidence of stochastic resonance","year":2024,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Speech recognition; Noise (video); Background noise; Computer science; Artificial neural network; Artificial intelligence; Telecommunications","score_opus":0.13221548461415028,"score_gpt":0.3607360311166051,"score_spread":0.22852054650245485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405281020","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00039384217,0.89544284,0.00024520216,0.08099591,0.017298654,0.002955038,0.00032146505,0.0002140324,0.002133026],"genre_scores_gemma":[0.0030435806,0.6725112,0.00013958049,0.030095676,0.0016402728,0.0002693465,0.00010485598,0.00014734258,0.2920481],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9922422,0.00062084553,0.0021263969,0.0021932076,0.001985144,0.00083217287],"domain_scores_gemma":[0.9939897,0.0016689147,0.00116318,0.0015027381,0.0014210799,0.0002543805],"candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018979518,0.0009844964,0.0021975012,0.00028117333,0.00014674851,0.00021644123,0.0016177786,0.00029304036,0.0024735096],"category_scores_gemma":[0.017439798,0.0007410599,0.00095222256,0.0019394808,0.00039870717,0.00076364336,0.000503604,0.0014395374,0.00054696476],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002155009,0.000077107376,3.6464093e-7,0.07252413,0.00001212619,0.000056543067,0.0000053552267,0.0000010387278,0.0052132034,0.00019799914,0.8564169,0.065473706],"study_design_scores_gemma":[0.00008820004,0.00038488928,0.000011597172,0.17063583,0.00043329547,0.00016621515,0.0000021766102,0.00082989,0.0008597433,0.00010082685,0.82572997,0.0007573376],"about_ca_topic_score_codex":0.00005229499,"about_ca_topic_score_gemma":0.0000907556,"teacher_disagreement_score":0.28991508,"about_ca_system_score_codex":0.00015662119,"about_ca_system_score_gemma":0.0003986718,"threshold_uncertainty_score":0.999504},"labels":[],"label_agreement":null},{"id":"W4405281230","doi":"10.7554/elife.100830","title":"Enhanced neural speech tracking through noise indicates stochastic resonance in humans","year":2024,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Stochastic resonance; Noise (video); Tracking (education); Speech recognition; Artificial neural network; Acoustics; Computer science; Audiology; Physics; Psychology; Artificial intelligence; Medicine","score_opus":0.03741446622570242,"score_gpt":0.2958071171712984,"score_spread":0.25839265094559594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405281230","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944238,0.0003757297,0.0020094134,0.0007902114,0.0010478364,0.00020090879,0.00001208591,0.0001867535,0.00095323136],"genre_scores_gemma":[0.99789035,0.000058409027,0.000053028078,0.0011131708,0.0001850212,0.000021183421,0.0000031617878,0.000025798352,0.00064985274],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99861777,0.000054197364,0.00022599533,0.0005011392,0.00030159135,0.00029929468],"domain_scores_gemma":[0.9995079,0.0002420742,0.00003858175,0.0001592122,0.0000134686325,0.000038770908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012542678,0.00014003644,0.00013333773,0.00010325705,0.00009710589,0.00013330596,0.00015503814,0.000054483124,0.00004279045],"category_scores_gemma":[0.00032382587,0.00012487998,0.000054369615,0.0005299558,0.00007112263,0.0003615697,0.000052640484,0.00032240857,0.00013409217],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003314854,0.000056610843,0.00010254608,0.000038720882,0.000001597023,0.00021737836,0.0010103193,0.0012173454,0.97273386,0.005055604,0.00034938296,0.01918347],"study_design_scores_gemma":[0.0007075342,0.00027695537,0.01555291,0.00044732384,0.000016308188,0.00007472118,0.000107325526,0.13405131,0.8372883,0.0057116435,0.005051318,0.00071435276],"about_ca_topic_score_codex":0.000026653925,"about_ca_topic_score_gemma":0.000043913737,"teacher_disagreement_score":0.13544558,"about_ca_system_score_codex":0.00005014302,"about_ca_system_score_gemma":0.000027290758,"threshold_uncertainty_score":0.50924575},"labels":[],"label_agreement":null},{"id":"W4405288040","doi":"10.7554/elife.100830.1","title":"Minimal background noise enhances neural speech tracking: Evidence of stochastic resonance","year":2024,"lang":"en","type":"preprint","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Speech recognition; Background noise; Noise (video); Computer science; Artificial neural network; Stochastic resonance; Active listening; Artificial intelligence; Psychology; Communication; Telecommunications","score_opus":0.09448994479766248,"score_gpt":0.3335567248419536,"score_spread":0.2390667800442911,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405288040","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99021256,0.002581084,0.00039230398,0.0008859182,0.0047094463,0.00048995175,0.00008597572,0.00014827648,0.00049449905],"genre_scores_gemma":[0.9969664,0.00029131508,0.00019997347,0.000449702,0.0005985458,0.000042738724,0.000004978112,0.000053387615,0.0013929271],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.996701,0.00015308388,0.0006300086,0.0012010537,0.00091482577,0.00040003678],"domain_scores_gemma":[0.99798244,0.0007873885,0.00035695758,0.0006306908,0.0001298414,0.00011266813],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00036984737,0.00039630214,0.00048173752,0.0001791398,0.000092902876,0.00021784799,0.00059188076,0.00022315029,0.00009652467],"category_scores_gemma":[0.0011537482,0.00035871996,0.00025906073,0.00037032203,0.0002501901,0.00018783807,0.0010103066,0.0010786431,0.00014679937],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031878523,0.0001219052,0.000038433,0.0011295786,0.000013173384,0.00022558049,0.00027460075,0.0023872883,0.97871965,0.001364199,0.0012485054,0.0141583225],"study_design_scores_gemma":[0.00045010756,0.0009532644,0.0041320124,0.005549049,0.00020523409,0.0002541399,0.000104106424,0.21179356,0.76611114,0.007549057,0.0012857218,0.0016125937],"about_ca_topic_score_codex":0.000052383006,"about_ca_topic_score_gemma":0.000025132165,"teacher_disagreement_score":0.21260847,"about_ca_system_score_codex":0.00008070491,"about_ca_system_score_gemma":0.00019061533,"threshold_uncertainty_score":0.99988645},"labels":[],"label_agreement":null},{"id":"W4405318623","doi":"10.1016/j.xinn.2024.100735","title":"Principles of visual cortex excitatory microcircuit organization","year":2024,"lang":"en","type":"article","venue":"The Innovation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Institute of Neurosciences, Mental Health and Addiction; Fonds de recherche du Québec – Nature et technologies; Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Universities Space Research Association; Canadian Institutes of Health Research; McGill University Health Centre; International Brain Research Organization; Réseau en Bio-Imagerie du Quebec","keywords":"Excitatory postsynaptic potential; Neuroscience; Visual cortex; Cortex (anatomy); Cognitive science; Psychology; Inhibitory postsynaptic potential","score_opus":0.03593216735156283,"score_gpt":0.27479894270326166,"score_spread":0.23886677535169884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405318623","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930009,0.000013223347,0.004342978,0.000546698,0.00052890927,0.00011870885,0.000004759482,0.000091266964,0.0013525205],"genre_scores_gemma":[0.9985028,0.000008591431,0.000011179851,0.00040771966,0.00007612439,0.0000026116697,0.000014005835,0.000013181839,0.00096380216],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994036,0.000031061798,0.000206541,0.00014150687,0.00014723097,0.00007006192],"domain_scores_gemma":[0.9996216,0.00010201324,0.00007505868,0.00009124133,0.00010447451,0.000005558327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018499243,0.00005422592,0.000048021244,0.00011933145,0.000077254874,0.000045756373,0.00008748299,0.000027706648,0.00004390271],"category_scores_gemma":[0.0002786216,0.0000384176,0.000011681486,0.0018174234,0.0000538723,0.00014365958,0.000026784324,0.00008075808,0.000038615068],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000022613658,0.000010606343,0.000088497174,0.000018951423,0.0000015701648,8.435287e-7,0.000087659435,0.000031273405,0.7714423,0.22465122,0.000090386115,0.0035744677],"study_design_scores_gemma":[0.00009316628,0.00007250349,0.013823949,0.000043728367,0.000010131732,0.000016719867,0.000046877354,0.018933143,0.95392793,0.0039104493,0.009014439,0.00010693731],"about_ca_topic_score_codex":0.0000035342389,"about_ca_topic_score_gemma":8.033608e-7,"teacher_disagreement_score":0.22074077,"about_ca_system_score_codex":0.000027713082,"about_ca_system_score_gemma":0.000040072307,"threshold_uncertainty_score":0.1566624},"labels":[],"label_agreement":null},{"id":"W4405351889","doi":"10.1038/s42005-025-02055-8","title":"Myelin-induced gain control in nonlinear neural networks","year":2025,"lang":"en","type":"article","venue":"Communications Physics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"CIHR Skin Research Training Centre; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Myelin; Automatic gain control; Control theory (sociology); Nonlinear system; Artificial neural network; Neuroscience; Control (management); Computer science; Psychology; Physics; Artificial intelligence; Central nervous system; Telecommunications","score_opus":0.043825012615255364,"score_gpt":0.30734080874848746,"score_spread":0.2635157961332321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405351889","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8290804,0.0003601251,0.11169611,0.028381014,0.0018377914,0.001992735,0.00008055271,0.0005219655,0.02604929],"genre_scores_gemma":[0.9956271,0.00009107202,0.00022595903,0.0037506998,0.000052790318,0.00004665808,0.000018259609,0.000010861061,0.00017660596],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99905795,0.00024025861,0.00022527513,0.00020875054,0.00008101276,0.00018672457],"domain_scores_gemma":[0.99800175,0.00062132743,0.00006835903,0.0012383022,0.00004155035,0.000028697244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000121409656,0.000106778294,0.00014041054,0.00006301336,0.00022777333,0.000053655614,0.00077442103,0.000051211548,0.0000026746561],"category_scores_gemma":[0.00016477822,0.000108553686,0.0000601857,0.0007365855,0.00009571374,0.00013335998,0.00023219213,0.00040205548,0.000012675786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010961106,0.0012940555,0.004958552,0.000027101254,0.000020788133,0.0000066034427,0.00020990471,0.080194935,0.39161438,0.2807835,0.0008722518,0.23990832],"study_design_scores_gemma":[0.0004713598,0.000019152782,0.0009235395,0.000015944768,0.0000073359397,6.613102e-7,0.000013297529,0.99185956,0.0014818633,0.0039842194,0.0011279973,0.00009506158],"about_ca_topic_score_codex":0.000027528891,"about_ca_topic_score_gemma":0.000048164948,"teacher_disagreement_score":0.9116646,"about_ca_system_score_codex":0.00004690357,"about_ca_system_score_gemma":0.0000325054,"threshold_uncertainty_score":0.4426691},"labels":[],"label_agreement":null},{"id":"W4405362899","doi":"10.1371/journal.pcbi.1012567","title":"Neural networks with optimized single-neuron adaptation uncover biologically plausible regularization","year":2024,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research; Computer Research Institute of Montréal; Université de Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Institut de Valorisation des Données; Canada Research Chairs; National Institute of General Medical Sciences; Canadian Institute for Advanced Research; Fonds de recherche du Québec – Nature et technologies; Université de Montréal; National Institutes of Health; National Science Foundation","keywords":"Computer science; Artificial neural network; Neural coding; Biological neural network; Neuron; Robustness (evolution); Activation function; Biological network; Coding (social sciences); Models of neural computation; Artificial intelligence; Biological system; Neuroscience; Machine learning; Mathematics; Biology","score_opus":0.042553280111535335,"score_gpt":0.23957043825270963,"score_spread":0.1970171581411743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405362899","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.371263,0.000054343982,0.62449443,0.0016364796,0.0007534616,0.0004307824,0.000040171635,0.00047877847,0.0008485687],"genre_scores_gemma":[0.99206644,0.00000969554,0.005786808,0.0013669565,0.00016492262,0.000026704301,0.00033682137,0.000024556948,0.00021712005],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984917,0.00022906106,0.0002554039,0.0006049593,0.00016949867,0.00024935137],"domain_scores_gemma":[0.9988527,0.0008356743,0.00008858102,0.0000862666,0.00008041134,0.00005636362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000083997475,0.00018598801,0.00017328047,0.0001412571,0.00014799791,0.00012702023,0.00012808714,0.000120082266,0.00007670177],"category_scores_gemma":[0.00015256295,0.00013465888,0.000054384433,0.00048193644,0.0001419894,0.0002084029,0.000050799037,0.00020432236,0.00002956932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020145952,0.000076680204,0.00012919624,0.000011160157,0.000014209741,0.000018916064,0.000019976245,0.89937633,0.06355629,0.033470556,0.00009078365,0.003034422],"study_design_scores_gemma":[0.00034966366,0.0007108114,0.00039481916,0.000020246314,0.000017979351,0.00006245328,0.0000039283577,0.98830533,0.0008424959,0.008750733,0.00036718388,0.00017432947],"about_ca_topic_score_codex":0.000003760919,"about_ca_topic_score_gemma":0.000002854584,"teacher_disagreement_score":0.6208034,"about_ca_system_score_codex":0.000053533808,"about_ca_system_score_gemma":0.000043166725,"threshold_uncertainty_score":0.549123},"labels":[],"label_agreement":null},{"id":"W4405363500","doi":"10.7554/elife.100123","title":"Imaging of brain electric field networks with spatially resolved EEG","year":2024,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"National Institute on Deafness and Other Communication Disorders; National Institute of Mental Health; Natural Sciences and Engineering Research Council of Canada; National Institute on Alcohol Abuse and Alcoholism; National Institute on Aging; National Institutes of Health; National Institute on Drug Abuse; Simons Foundation Autism Research Initiative","keywords":"Field (mathematics); Electric field; Neuroscience; Computer science; Physics; Psychology; Mathematics","score_opus":0.010105392787896407,"score_gpt":0.23592805112841114,"score_spread":0.22582265834051474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405363500","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.875716,0.0005462034,0.10317044,0.009737232,0.0013266412,0.00033893192,0.000004353431,0.0003405459,0.008819675],"genre_scores_gemma":[0.9958484,0.000037988415,0.00008428103,0.0032934907,0.000114637776,0.0000044702247,0.0000012047457,0.00001537096,0.00060012506],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992177,0.00003945912,0.00012881336,0.00024307602,0.00019899484,0.00017196401],"domain_scores_gemma":[0.99937886,0.00039508825,0.000033938053,0.00013573313,0.000020485071,0.00003589156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011932627,0.000080090766,0.00008666192,0.000080156366,0.000048647486,0.000057272257,0.0000847693,0.000025592257,0.00003511223],"category_scores_gemma":[0.0002013698,0.000060866238,0.00003681264,0.0004365636,0.000016386986,0.0000953073,0.000027232956,0.00016859098,0.000010604954],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011731197,0.00003226112,0.001108075,0.000041499003,0.0000074842746,0.00017441394,0.00007109096,0.002588936,0.9346148,0.005576463,0.012715098,0.042952593],"study_design_scores_gemma":[0.000205105,0.00033263973,0.0017269786,0.00009703337,0.000012654285,0.000053822725,0.0000050354056,0.77197933,0.21561797,0.00023160496,0.00955941,0.00017840418],"about_ca_topic_score_codex":0.000031621385,"about_ca_topic_score_gemma":0.000015295032,"teacher_disagreement_score":0.7693904,"about_ca_system_score_codex":0.000012744443,"about_ca_system_score_gemma":0.000036925052,"threshold_uncertainty_score":0.24820532},"labels":[],"label_agreement":null},{"id":"W4405397825","doi":"10.1101/2024.12.13.628359","title":"Single neuron diversity supports area functional specialization along the visual cortical pathways","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health; Western University","funders":"","keywords":"Diversity (politics); Neuroscience; Functional diversity; Neuron; Cortical neurons; Visual system; Visual cortex; Biology; Communication; Psychology; Ecology; Sociology","score_opus":0.036697652097486246,"score_gpt":0.21919782761648818,"score_spread":0.18250017551900194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405397825","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98812014,0.00006896797,0.0015825776,0.00058204157,0.008173234,0.0006423575,0.00022868661,0.00054938067,0.000052587642],"genre_scores_gemma":[0.99776125,0.000060391863,0.000032655378,0.0009039783,0.0010777554,0.000043974167,0.0000014480083,0.00009423867,0.000024337683],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9965097,0.0002834528,0.00047457856,0.0013627276,0.0008462054,0.00052339333],"domain_scores_gemma":[0.99834466,0.00025580043,0.00028365353,0.0006997809,0.00020444868,0.00021163763],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004374287,0.0004959457,0.0003368787,0.00020713476,0.0008447026,0.0005573549,0.00046087423,0.0003485095,0.00018677417],"category_scores_gemma":[0.0006781278,0.0004222169,0.00022738005,0.00062361156,0.00024752977,0.00017603689,0.002423039,0.0012410384,0.00016668542],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005688877,0.00022635827,0.0032796627,0.00012644165,0.000025144718,0.00027016707,0.000012640093,0.00026706333,0.98899174,0.005243666,0.0014942904,0.0000059130653],"study_design_scores_gemma":[0.0006678723,0.0004036581,0.3479491,0.0004032748,0.00046797126,7.980944e-7,0.000008919722,0.038938325,0.60145557,0.00024418888,0.0075647603,0.0018955661],"about_ca_topic_score_codex":0.00003309709,"about_ca_topic_score_gemma":0.000008460432,"teacher_disagreement_score":0.38753617,"about_ca_system_score_codex":0.00031310818,"about_ca_system_score_gemma":0.00030732405,"threshold_uncertainty_score":0.999823},"labels":[],"label_agreement":null},{"id":"W4405489441","doi":"10.1109/embc53108.2024.10781855","title":"Pilot Evaluation of Sevo Systems for Epilepsy: Equitable EEG for Coarse, Dense, and Curly Hair","year":2024,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Neurological Disorders and Stroke; Mastercard Foundation","keywords":"Epilepsy; Electroencephalography; Computer science; Neuroscience; Psychology","score_opus":0.11057316710190572,"score_gpt":0.33503706035837216,"score_spread":0.22446389325646643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405489441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.899551,0.0014045191,0.0798613,0.0010349447,0.006269498,0.005270875,0.00039645212,0.00026642898,0.005945013],"genre_scores_gemma":[0.9935193,0.000025971105,0.00022105336,0.00011978599,0.00007231021,0.00027117567,0.000011434283,0.000019474199,0.0057394756],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892396,0.000054235752,0.00021664449,0.00033660207,0.00026609053,0.00020249747],"domain_scores_gemma":[0.99894184,0.00068805116,0.00005258047,0.000121575904,0.00015730807,0.000038656875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009268909,0.00009393344,0.00013620491,0.00008285847,0.00010385593,0.00012263686,0.00006712592,0.000029604975,0.000015202039],"category_scores_gemma":[0.0004618329,0.000074817726,0.00004742479,0.00015422203,0.00003756778,0.00022202374,0.000029486657,0.0000405257,0.0000048295283],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015058405,0.00006780587,0.00005889537,0.0008656258,0.0000140986085,8.0673306e-7,0.0000546002,0.0013217032,0.8342058,0.12793866,0.02260832,0.0127131045],"study_design_scores_gemma":[0.00057156343,0.0007497202,0.00007707287,0.00006935709,0.00006302681,0.000012089095,0.000037531354,0.9685991,0.016409315,0.0071017114,0.0062061944,0.000103309314],"about_ca_topic_score_codex":0.00004578749,"about_ca_topic_score_gemma":0.000026648799,"teacher_disagreement_score":0.9672774,"about_ca_system_score_codex":0.00003957174,"about_ca_system_score_gemma":0.0000659298,"threshold_uncertainty_score":0.30509785},"labels":[],"label_agreement":null},{"id":"W4405515755","doi":"10.3390/anatomia3040024","title":"Morphological Research Directions at Neuroscience-Related Institutes of the German Max Planck Society, 1948–2002","year":2024,"lang":"en","type":"article","venue":"Anatomia","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Max-Planck-Gesellschaft","keywords":"German; Planck; Neuroscience; Cognitive science; Psychology; Physics; Philosophy; Astronomy","score_opus":0.07408714471262765,"score_gpt":0.34758823704399294,"score_spread":0.2735010923313653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405515755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98396975,0.00014651788,0.0000064914493,0.0025997094,0.0025195503,0.00020582828,0.000028936887,0.00012767877,0.010395529],"genre_scores_gemma":[0.98859686,0.00024662088,0.000007315104,0.0005362573,0.00006000418,0.000013242246,0.0000015004357,0.000011838521,0.010526389],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983822,0.00016466204,0.00019822165,0.00046508026,0.0004784113,0.00031140415],"domain_scores_gemma":[0.99925876,0.00032144846,0.0000378293,0.0002868855,0.000035261506,0.000059816124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034309374,0.00010340493,0.00010628672,0.000091746966,0.0006150997,0.00008917736,0.00038501128,0.00009341831,0.00013835229],"category_scores_gemma":[0.000299664,0.00006524778,0.00015640995,0.0015367947,0.0007470371,0.00016502422,0.00034025917,0.0004979487,0.00014277743],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009710362,0.000055587443,0.00065255613,0.000018282795,0.0000037236514,0.000070347225,0.00020283235,0.00007046834,0.93996567,0.021405159,0.036246333,0.001299314],"study_design_scores_gemma":[0.0004945369,0.00032313482,0.050289832,0.00014674733,0.000034581546,0.0008110489,0.000049900173,0.13484049,0.2220757,0.02307203,0.56737727,0.00048474642],"about_ca_topic_score_codex":0.000048769114,"about_ca_topic_score_gemma":0.000020808835,"teacher_disagreement_score":0.71788996,"about_ca_system_score_codex":0.00008957308,"about_ca_system_score_gemma":0.00006313815,"threshold_uncertainty_score":0.47309116},"labels":[],"label_agreement":null},{"id":"W4405573933","doi":"10.1038/s42003-024-07349-1","title":"Flexibility of intrinsic neural timescales during distinct behavioral states","year":2024,"lang":"en","type":"article","venue":"Communications Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; European Commission","keywords":"Rest (music); Neuroimaging; Psychology; Neuroscience; Electroencephalography; Neural activity; Task (project management); Brain activity and meditation; Stimulus (psychology); Cognitive psychology; Physics","score_opus":0.0849126018068027,"score_gpt":0.36036768627581783,"score_spread":0.2754550844690151,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405573933","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972736,0.00038616118,0.000069446854,0.0011253761,0.00023107654,0.00011811977,0.00010859088,0.00012577334,0.0005618554],"genre_scores_gemma":[0.9993747,0.00017342332,0.000117316806,0.000038367492,0.000016791779,0.000018450932,0.0000649884,0.000008269285,0.00018768584],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99916,0.00021957274,0.00022405757,0.00022680337,0.00003938832,0.00013016017],"domain_scores_gemma":[0.99864334,0.00041932048,0.000046092595,0.00083621586,0.000027059976,0.00002796304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010088671,0.00007973602,0.000113352144,0.00008207555,0.00014554047,0.000023381202,0.0004945084,0.000046404348,0.000040950003],"category_scores_gemma":[0.00011279874,0.000066221175,0.000053852695,0.0002431461,0.00052197615,0.00008050746,0.0004002846,0.00018917935,0.000026449985],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034237208,0.00023865601,0.0088995015,0.000057799152,0.0000066733937,0.0000033706337,0.00020185506,0.00003987214,0.9148991,0.03024615,0.000060820777,0.045311954],"study_design_scores_gemma":[0.0011657038,0.0014719219,0.18222362,0.00019484118,0.00016660409,0.0002624643,0.00028102222,0.31610024,0.39039272,0.08478246,0.021686655,0.0012717475],"about_ca_topic_score_codex":0.000046187917,"about_ca_topic_score_gemma":0.00005029642,"teacher_disagreement_score":0.5245064,"about_ca_system_score_codex":0.00002890628,"about_ca_system_score_gemma":0.000017902288,"threshold_uncertainty_score":0.2700421},"labels":[],"label_agreement":null},{"id":"W4405620681","doi":"10.7554/elife.89674.3","title":"A neuronal least-action principle for real-time learning in cortical circuits","year":2024,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"HORIZON EUROPE Framework Programme; Seventh Framework Programme; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Neuroscience; Action (physics); Computer science; Sensory system; Synaptic weight; Gradient descent; Artificial intelligence; Artificial neural network; Psychology; Physics","score_opus":0.05472227366293892,"score_gpt":0.31892084984392993,"score_spread":0.264198576180991,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405620681","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995845,0.0000067487445,0.00095984025,0.0005109254,0.0007039459,0.00021611738,0.000006636878,0.00022003762,0.0015307108],"genre_scores_gemma":[0.9952385,0.000029787534,0.000025599022,0.00028088343,0.00018743364,0.000033175875,0.000006786715,0.000021634163,0.0041762143],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990177,0.00007203236,0.00015910628,0.00034268343,0.00019513168,0.00021335688],"domain_scores_gemma":[0.9994914,0.00034295433,0.00002342955,0.00007406509,0.000014877022,0.000053254294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017825952,0.00008296265,0.00008903271,0.00008594396,0.00009552045,0.000081366205,0.000052079824,0.000042405223,0.00005687724],"category_scores_gemma":[0.000629358,0.00007857193,0.000052373656,0.00022265104,0.000026222895,0.00014820088,0.000028713626,0.00024365833,0.00018166735],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028949751,0.000030541083,0.00030112057,0.00003313423,0.0000012523694,0.00002928723,0.000042950698,0.00072222156,0.98495555,0.004840426,0.0003108217,0.008703766],"study_design_scores_gemma":[0.00041828843,0.00043081294,0.025884345,0.000061385224,0.000010251503,0.000072291004,0.000013729037,0.8421737,0.056479167,0.00037262886,0.073833756,0.00024962172],"about_ca_topic_score_codex":0.000008113663,"about_ca_topic_score_gemma":0.0000065109152,"teacher_disagreement_score":0.92847633,"about_ca_system_score_codex":0.000050648367,"about_ca_system_score_gemma":0.000056242177,"threshold_uncertainty_score":0.32040703},"labels":[],"label_agreement":null},{"id":"W4405807666","doi":"10.1016/j.isci.2024.111691","title":"Performance modulations phase-locked to action depend on internal state","year":2024,"lang":"en","type":"article","venue":"iScience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute; Centre Hospitalier Universitaire Sainte-Justine","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo; Deutsche Forschungsgemeinschaft","keywords":"Action (physics); Phase (matter); Chemistry; Physics; Quantum mechanics","score_opus":0.05832923463503118,"score_gpt":0.3328602900096133,"score_spread":0.2745310553745821,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405807666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989543,0.0000048655065,0.004995225,0.0008214864,0.001706377,0.00014053205,0.000012630915,0.0001319401,0.0026439293],"genre_scores_gemma":[0.9959812,0.000013537108,0.000059845337,0.0006180123,0.00006565672,0.000012646764,9.006794e-7,0.000008354217,0.0032398186],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989094,0.000022375976,0.00011787266,0.00042828967,0.00031318743,0.00020884592],"domain_scores_gemma":[0.9996191,0.00010802572,0.000021563146,0.00015062263,0.000016529415,0.00008413493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012516553,0.00008716756,0.00005285348,0.00016798975,0.00021199703,0.00020781359,0.00019768985,0.000015555392,0.000050901308],"category_scores_gemma":[0.00013277802,0.00007085548,0.000029226621,0.00062257826,0.00004469395,0.00047894305,0.000048520425,0.00013093108,0.00046777047],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025456337,0.000033814755,0.000040386774,0.000007118041,4.280254e-7,0.000010060359,0.00012632666,0.0063381735,0.81859523,0.0007471875,0.00022427643,0.17385153],"study_design_scores_gemma":[0.00010945727,0.0003745907,0.0019761992,0.000040737978,0.000001893897,0.000028483153,0.00000770334,0.70379066,0.2834204,0.00036108276,0.00977417,0.00011458245],"about_ca_topic_score_codex":0.000010740449,"about_ca_topic_score_gemma":0.000014458693,"teacher_disagreement_score":0.6974525,"about_ca_system_score_codex":0.00006852052,"about_ca_system_score_gemma":0.000029917644,"threshold_uncertainty_score":0.6012399},"labels":[],"label_agreement":null},{"id":"W4405837714","doi":"10.1371/journal.pcbi.1012693","title":"Therapeutic dose prediction of α5-GABA receptor modulation from simulated EEG of depression severity","year":2024,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"Krembil Foundation","keywords":"Electroencephalography; Neuroscience; Interneuron; Epilepsy; Major depressive disorder; Depression (economics); Treatment-resistant depression; Brain activity and meditation; Human brain; Medicine; Psychology; Pharmacology; Cognition; Inhibitory postsynaptic potential","score_opus":0.03999856961463036,"score_gpt":0.2752278568791387,"score_spread":0.23522928726450834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405837714","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9873778,0.00007735279,0.010916178,0.00016200138,0.0005647386,0.00017799226,0.0005730056,0.000086419204,0.00006449517],"genre_scores_gemma":[0.9990232,0.000015426413,0.00035970728,0.00009701984,0.000052905038,0.0000037826824,0.00041926958,0.000009809984,0.000018865685],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99900335,0.00015672168,0.00028904638,0.00031015254,0.0001516272,0.000089091765],"domain_scores_gemma":[0.998955,0.00074660976,0.00010841614,0.00008872723,0.00007727359,0.000023951081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006607611,0.00009060287,0.00014721017,0.00010574008,0.00004571662,0.000010349856,0.000079353784,0.00009788211,0.00009345071],"category_scores_gemma":[0.000100215184,0.000075684664,0.000055514844,0.00022686171,0.00008396136,0.00011212785,0.000035720383,0.000101835794,0.00001283053],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009412061,0.00009047572,0.0034508947,0.000025482588,0.000023330445,5.844597e-7,0.00006549382,0.06988464,0.9154749,0.0020662998,0.0000230984,0.008800708],"study_design_scores_gemma":[0.00020396839,0.000118993856,0.04818173,0.00003851488,0.0000143299385,0.0000015697134,0.0000028245668,0.87965596,0.042179152,0.029450674,0.00009674335,0.00005555936],"about_ca_topic_score_codex":0.000024020695,"about_ca_topic_score_gemma":9.613967e-7,"teacher_disagreement_score":0.8732957,"about_ca_system_score_codex":0.000026812739,"about_ca_system_score_gemma":0.00003242216,"threshold_uncertainty_score":0.30863312},"labels":[],"label_agreement":null},{"id":"W4405966187","doi":"10.1101/2024.12.09.627552","title":"Bounded optimality of time investments in rats, mice, and humans","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Bounded function; Stochastic game; Task (project management); Investment (military); Mathematical optimization; Time allocation; Interval (graph theory); Economics; Bounded rationality; Resource allocation; Investment decisions; Process (computing); Confidence interval; Computer science; Econometrics; Mathematics; Microeconomics; Behavioral economics; Statistics","score_opus":0.020078832643894273,"score_gpt":0.2342018590487825,"score_spread":0.21412302640488823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405966187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976397,0.000266104,0.000014116302,0.00018287425,0.0008334265,0.00059120456,0.0002538403,0.00015493653,0.00006378847],"genre_scores_gemma":[0.9986653,0.00022912925,0.0005260529,0.000328649,0.000084354404,0.00006269877,2.2072581e-7,0.00007049784,0.000033129138],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974994,0.00018350582,0.00053108146,0.0011056064,0.00032204328,0.0003583363],"domain_scores_gemma":[0.998782,0.000094499155,0.0002692188,0.00063359767,0.00008252156,0.00013819593],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00045276887,0.00038779457,0.00048006102,0.00035889144,0.000077390614,0.00020806657,0.00034526433,0.00030751232,0.000024840785],"category_scores_gemma":[0.0002489147,0.00040027316,0.000094743365,0.00053065096,0.00023370702,0.000119998775,0.00082966546,0.0007250345,0.00005351263],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021765421,0.00010086335,0.0010523058,0.00045888883,0.000016884604,0.00005423612,0.0000092358605,0.000034276396,0.9945464,0.003613485,0.00009065236,9.919348e-7],"study_design_scores_gemma":[0.0004928088,0.000091609436,0.059017707,0.00067196635,0.00007904137,3.6707316e-8,0.0000012676372,0.007592943,0.93029827,0.0003699245,0.0006389327,0.00074549246],"about_ca_topic_score_codex":0.000070055954,"about_ca_topic_score_gemma":0.0000037551529,"teacher_disagreement_score":0.064248145,"about_ca_system_score_codex":0.00015717321,"about_ca_system_score_gemma":0.00023570079,"threshold_uncertainty_score":0.9998449},"labels":[],"label_agreement":null},{"id":"W4406015915","doi":"10.1038/s41598-024-83970-8","title":"Emergence of structures in neuronal network activities","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Nonlinear system; Computer science; Complex network; Biological network; Biological neural network; Noise (video); Network dynamics; Range (aeronautics); Monotonic function; Artificial neural network; Artificial intelligence; Neuroscience; Biological system; Machine learning; Mathematics; Physics; Biology","score_opus":0.016657538392571884,"score_gpt":0.26077087238727253,"score_spread":0.24411333399470064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406015915","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9801765,0.00002472827,0.00012237941,0.00010875352,0.013624935,0.0001280965,0.0000013259662,0.00002233958,0.005790948],"genre_scores_gemma":[0.9963986,0.000004148468,0.00005534403,0.0000944076,0.000024978526,0.000005102656,0.000002012036,0.000003645264,0.0034117608],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998669,0.000055245036,0.00031732317,0.000489557,0.00026914207,0.00019970138],"domain_scores_gemma":[0.99938303,0.00007737233,0.00015249517,0.00034104072,0.000022695425,0.000023341841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003598694,0.000075677715,0.00011521986,0.00015838545,0.0001390087,0.000064328924,0.000115705254,0.000028639039,0.00011479369],"category_scores_gemma":[0.00028907045,0.000066459266,0.000046766712,0.0009485429,0.00021677878,0.00013954705,0.00008236944,0.00009514268,8.933465e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001644075,0.00003685193,0.013216809,0.000028361877,0.0000015369219,0.00008832734,0.00005531967,0.0052010533,0.9519709,0.010336443,0.015036974,0.004010994],"study_design_scores_gemma":[0.00011781714,0.000038061527,0.03901793,0.00006659202,0.000007282725,0.000056668996,0.000075322634,0.005491945,0.66591805,0.27743632,0.011577803,0.00019617047],"about_ca_topic_score_codex":0.000014752905,"about_ca_topic_score_gemma":0.00003891236,"teacher_disagreement_score":0.2860528,"about_ca_system_score_codex":0.000008012994,"about_ca_system_score_gemma":0.00007705937,"threshold_uncertainty_score":0.27101302},"labels":[],"label_agreement":null},{"id":"W4406069315","doi":"10.1016/j.tics.2024.12.003","title":"Processes and measurements: a framework for understanding neural oscillations in field potentials","year":2025,"lang":"en","type":"review","venue":"Trends in Cognitive Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Horizon 2020; Fonds de recherche du Québec – Nature et technologies; Horizon 2020 Framework Programme; H2020 Marie Skłodowska-Curie Actions; University of California, San Diego; Eberhard Karls Universität Tübingen; University of Glasgow","keywords":"Psychology; Neuroscience; Cognitive science; Field (mathematics); Cognitive psychology","score_opus":0.5650043090678338,"score_gpt":0.49315644398406483,"score_spread":0.071847865083769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406069315","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00014421565,0.97071606,0.01629142,0.00081695616,0.0013459263,0.0016913267,0.00024781516,0.000067275985,0.008678998],"genre_scores_gemma":[0.034490652,0.96390164,0.00041346962,0.0004490268,0.00006770869,0.00028853214,0.00001570099,0.000014653023,0.00035861693],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980331,0.00017803263,0.00039737593,0.0007798923,0.00028776572,0.00032384694],"domain_scores_gemma":[0.99402815,0.0056217425,0.00019796572,0.00007440117,0.00004129269,0.000036444773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005374517,0.0002390577,0.0005529741,0.0011259477,0.0003032013,0.0002029077,0.00022777719,0.00014376927,0.000025288644],"category_scores_gemma":[0.0069298176,0.00018883712,0.0000935017,0.0032599268,0.0002603717,0.00025928885,0.00008406973,0.0002503341,7.785603e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013749185,0.000049771144,0.000117719464,0.002795026,0.0000054535144,0.000004689392,0.00008237869,0.000006555245,0.000004876886,0.0064138724,0.000022551852,0.99048334],"study_design_scores_gemma":[0.0039959117,0.0033185896,0.00033973486,0.2768985,0.0015423503,0.00012343493,0.0031387666,0.0062404056,0.00048083783,0.6678756,0.030951962,0.00509393],"about_ca_topic_score_codex":0.00001213188,"about_ca_topic_score_gemma":0.000210003,"teacher_disagreement_score":0.9853894,"about_ca_system_score_codex":0.000084643434,"about_ca_system_score_gemma":0.00019902966,"threshold_uncertainty_score":0.829614},"labels":[],"label_agreement":null},{"id":"W4406090229","doi":"10.1162/imag_a_00448","title":"Structure–function coupling and decoupling during movie watching and resting state: Novel insights bridging EEG and structural imaging","year":2025,"lang":"en","type":"article","venue":"Imaging Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute; Montreal Neurological Institute and Hospital; Université de Montréal","funders":"","keywords":"Bridging (networking); Decoupling (probability); Resting state fMRI; Electroencephalography; Brain function; Coupling (piping); Neuroscience; Functional connectivity; Physics; Statistical physics; Computer science; Psychology; Cognitive science; Artificial intelligence; Materials science; Engineering","score_opus":0.009964678461645548,"score_gpt":0.2480372386826759,"score_spread":0.23807256022103035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406090229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98384,0.00033974298,0.0135321515,0.00055955304,0.0012102139,0.00025219252,0.000009680442,0.00020577031,0.00005067737],"genre_scores_gemma":[0.9979547,0.00009513873,0.00045003206,0.0013470125,0.000051340507,0.000004588978,0.0000011103637,0.00003144756,0.000064610984],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99729407,0.000035959172,0.00039391356,0.0013344989,0.0003465966,0.00059499114],"domain_scores_gemma":[0.9990465,0.0003010119,0.00019174592,0.00024850015,0.000055292687,0.00015693749],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00022823577,0.00034657674,0.00024869802,0.00038173236,0.00188212,0.0010990824,0.00021346583,0.000030878473,9.602818e-7],"category_scores_gemma":[0.00087965425,0.00032992536,0.000029374807,0.00064112816,0.00048478495,0.0015219753,0.00052493607,0.00047556421,2.1913297e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025219899,0.000005003918,0.035872098,0.00007693434,9.653537e-7,0.000029356062,0.00016063135,0.003967272,0.950659,0.00048120297,0.0000016376791,0.008720709],"study_design_scores_gemma":[0.0004856311,0.000013138365,0.18938158,0.00015501046,0.000015754944,0.00032845125,0.000059235506,0.7653442,0.0419183,0.0019692036,0.000037057853,0.00029240962],"about_ca_topic_score_codex":0.00008063719,"about_ca_topic_score_gemma":0.0000128536785,"teacher_disagreement_score":0.9087407,"about_ca_system_score_codex":0.000060066934,"about_ca_system_score_gemma":0.00004680793,"threshold_uncertainty_score":0.9999379},"labels":[],"label_agreement":null},{"id":"W4406109094","doi":"10.1016/j.celrep.2024.115159","title":"Spike frequency adaptation in primate lateral prefrontal cortex neurons results from interplay between intrinsic properties and circuit dynamics","year":2025,"lang":"en","type":"article","venue":"Cell Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre; University of Toronto; London Health Sciences Centre; Centre for Addiction and Mental Health; Western University; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Neuroscience; Prefrontal cortex; Adaptation (eye); Primate; Spike (software development); Biology; Dynamics (music); Psychology; Computer science; Cognition","score_opus":0.027780046408567943,"score_gpt":0.24214313958314973,"score_spread":0.2143630931745818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406109094","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99354386,0.000031763568,0.00024987553,0.00015506972,0.00082350406,0.00040966625,0.00005647737,0.0000748906,0.0046548615],"genre_scores_gemma":[0.99827987,0.00003096644,0.000046279045,0.00016397015,0.000035797704,0.000015239878,0.00008203721,0.000016304604,0.0013295376],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99821305,0.000083020255,0.00061013084,0.00068348803,0.00017220636,0.00023812878],"domain_scores_gemma":[0.9992481,0.000111223395,0.0002461473,0.00030817784,0.000028967594,0.00005737965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014720425,0.00017866942,0.00021762506,0.00015800475,0.00009803163,0.000108620734,0.0000985157,0.00008875503,0.0000048022025],"category_scores_gemma":[0.00029595685,0.00016089888,0.00003856626,0.00021387052,0.00008792216,0.00027358864,0.000117508294,0.00024989498,0.000003758042],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022485248,0.00019726448,0.14295813,0.0001280256,0.000013197376,0.0015459701,0.0016854894,0.0002259252,0.818168,0.00082567794,0.00008328068,0.033944175],"study_design_scores_gemma":[0.0011268551,0.00024394927,0.89838666,0.00028821858,0.000051693023,0.000089333706,0.00011107933,0.03156538,0.056795925,0.010549238,0.000295441,0.0004962422],"about_ca_topic_score_codex":0.0008208335,"about_ca_topic_score_gemma":0.00056808925,"teacher_disagreement_score":0.7613721,"about_ca_system_score_codex":0.00013916414,"about_ca_system_score_gemma":0.000077146295,"threshold_uncertainty_score":0.6561266},"labels":[],"label_agreement":null},{"id":"W4406178440","doi":"10.1038/s41593-024-01856-4","title":"A distinct hypothalamus–habenula circuit governs risk preference","year":2025,"lang":"en","type":"article","venue":"Nature Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Optogenetics; Neuroscience; Habenula; Glutamatergic; Excitatory postsynaptic potential; Action selection; Photostimulation; Lateral hypothalamus; Psychology; Glutamate receptor; Hypothalamus; Biology; Inhibitory postsynaptic potential; Central nervous system","score_opus":0.028002145020738452,"score_gpt":0.2606521845057813,"score_spread":0.23265003948504287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406178440","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94743264,0.000089451765,0.003076146,0.0010313392,0.0058478387,0.0005286907,0.000166561,0.0003593992,0.04146794],"genre_scores_gemma":[0.98838675,0.00010369112,0.000028979983,0.0062160594,0.000075487624,0.000023995573,0.0000017287206,0.00001723781,0.0051460415],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.996978,0.00019931552,0.00028123264,0.0012760638,0.00070421054,0.0005611865],"domain_scores_gemma":[0.9983843,0.0005547015,0.00019416912,0.00067053654,0.000060829167,0.00013548945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025060403,0.0002834565,0.00021834135,0.0001851416,0.00063228054,0.00026586495,0.0010656983,0.00022751342,0.000026269736],"category_scores_gemma":[0.0061600828,0.00024102214,0.00011819979,0.0018246265,0.0003463439,0.00053376437,0.000292424,0.0013494878,0.000040969662],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003735079,0.00015534747,0.008459105,0.000029693398,0.0000011887192,0.00005071469,0.000029383027,0.00007149967,0.91581446,0.06293358,0.0015660307,0.01085164],"study_design_scores_gemma":[0.0011094728,0.0003770673,0.6186024,0.00012761225,0.000056021367,0.000112722744,0.000017299682,0.02715853,0.20723957,0.038271602,0.10596781,0.0009598845],"about_ca_topic_score_codex":0.00001851345,"about_ca_topic_score_gemma":0.000024560739,"teacher_disagreement_score":0.7085749,"about_ca_system_score_codex":0.00008568584,"about_ca_system_score_gemma":0.00012666975,"threshold_uncertainty_score":0.98285973},"labels":[],"label_agreement":null},{"id":"W4406256016","doi":"10.1016/b978-0-443-29068-8.00070-2","title":"Habituation: Behavioral and neural mechanisms in model systems","year":2025,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Habituation; Psychology; Neural system; Cognitive psychology; Neuroscience; Computer science; Cognitive science","score_opus":0.03381638306392054,"score_gpt":0.2581876654719423,"score_spread":0.22437128240802173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406256016","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015485148,0.00017293089,0.0001985616,0.00012902752,0.0012756172,0.0010310763,0.00008593483,0.00009514857,0.9954632],"genre_scores_gemma":[0.063446,0.0000439978,0.000075491036,0.000417358,0.00005999748,0.000055544973,0.0000113579035,0.000041942272,0.9358483],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983509,0.0000393566,0.00040141118,0.00066222006,0.00030749984,0.00023862008],"domain_scores_gemma":[0.9993429,0.00006885073,0.0001602845,0.00031825007,0.000035212684,0.00007449823],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013232515,0.00033771578,0.00039017558,0.00025439943,0.000111197485,0.00012036528,0.00018659537,0.00026848065,0.0000113528085],"category_scores_gemma":[0.000020055038,0.00032448984,0.000092443115,0.000022770479,0.000083629675,0.00007899099,0.00015322311,0.00046190323,0.000009887404],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030226414,0.000017800705,0.0000024944268,0.00014665938,0.0000046931877,0.00009024667,0.00007704538,0.0004453034,0.009103115,0.320635,0.000058955626,0.6693885],"study_design_scores_gemma":[0.0013283115,0.00040929302,0.000016329472,0.0012839312,0.0001971185,0.00015620374,0.00001717585,0.7175712,0.0009980085,0.19717851,0.07917464,0.0016692865],"about_ca_topic_score_codex":0.0000020435111,"about_ca_topic_score_gemma":0.000031566466,"teacher_disagreement_score":0.7171259,"about_ca_system_score_codex":0.00008591499,"about_ca_system_score_gemma":0.00006859261,"threshold_uncertainty_score":0.9999207},"labels":[],"label_agreement":null},{"id":"W4406278722","doi":"10.1101/2025.01.10.632431","title":"Attentional enhancement and suppression of stimulus-synchronized BOLD oscillations","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Stimulus (psychology); Neuroscience; Psychology; Cognitive psychology","score_opus":0.019282587293078655,"score_gpt":0.24377108601840364,"score_spread":0.22448849872532498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406278722","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906113,0.0002360028,0.005210468,0.00045527346,0.0019425885,0.0007471788,0.0006042739,0.00013826755,0.000054633983],"genre_scores_gemma":[0.997789,0.0003343894,0.0013575675,0.00020903275,0.00011385265,0.000089437795,6.0814807e-7,0.000028092762,0.00007798414],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976975,0.00014661958,0.0005012206,0.0009186679,0.0004336364,0.0003024007],"domain_scores_gemma":[0.99843633,0.00019607421,0.00038131588,0.0006365714,0.00022721589,0.0001224696],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026265738,0.0003345988,0.00039414575,0.00026308268,0.00021244292,0.0001044691,0.00029303247,0.0002559926,0.00009241162],"category_scores_gemma":[0.00038888844,0.00033616152,0.000117140386,0.00036550875,0.00016196577,0.00013272082,0.00065397547,0.00040473242,0.000009488193],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003549674,0.00012224274,0.0011611278,0.00030750083,0.00002007298,0.0000048739257,0.0000027098831,0.00019291972,0.99489206,0.0030042657,0.00025132284,0.0000053886465],"study_design_scores_gemma":[0.0007019439,0.000074451185,0.030127008,0.0006078911,0.00008355001,1.39711505e-8,7.573633e-7,0.015507093,0.950191,0.00002949598,0.0022331425,0.0004436195],"about_ca_topic_score_codex":0.00001813823,"about_ca_topic_score_gemma":9.689606e-7,"teacher_disagreement_score":0.044701044,"about_ca_system_score_codex":0.0001281111,"about_ca_system_score_gemma":0.0003008201,"threshold_uncertainty_score":0.99990904},"labels":[],"label_agreement":null},{"id":"W4406284941","doi":"10.1038/s41467-026-73540-z","title":"Predictive acoustical processing in human cortical layers","year":2025,"lang":"en","type":"preprint","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Directorate for Biological Sciences; European Commission; UK Research and Innovation; National Science Foundation","keywords":"Predictive coding; Perception; Neuroscience; Computer science; Auditory cortex; Coding (social sciences); Psychology","score_opus":0.04322911286665837,"score_gpt":0.35759948305701583,"score_spread":0.31437037019035746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406284941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5991139,0.006936854,0.022745147,0.06506806,0.007412266,0.008636677,0.0018988888,0.0025802772,0.28560796],"genre_scores_gemma":[0.99684656,0.00022935694,0.0010261539,0.0011998371,0.000050799055,0.00014091669,0.00011299672,0.000014653357,0.00037871377],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982766,0.00037653587,0.0003471801,0.00051723194,0.0002522941,0.00023018503],"domain_scores_gemma":[0.9976304,0.0005591572,0.00013000738,0.0015130449,0.00010458333,0.00006279704],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00020939147,0.00020283998,0.00024296975,0.00023467842,0.0003515634,0.000111350695,0.0015698056,0.00076553057,0.000009175213],"category_scores_gemma":[0.0014769965,0.0002004335,0.000086275155,0.00044506064,0.00030849836,0.000081982966,0.00217847,0.006262261,0.000004007927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032310167,0.0044703684,0.008881709,0.0011162609,0.0000632908,0.00007809418,0.0026286459,0.0153153865,0.41762087,0.51555246,0.009542011,0.024407782],"study_design_scores_gemma":[0.0007390655,0.0001090362,0.03941435,0.0011141483,0.00015713208,0.00001539428,0.00015994119,0.9171689,0.0025319508,0.028121296,0.009637772,0.00083099015],"about_ca_topic_score_codex":0.000016835376,"about_ca_topic_score_gemma":0.0002051908,"teacher_disagreement_score":0.90185356,"about_ca_system_score_codex":0.00019570999,"about_ca_system_score_gemma":0.00022806317,"threshold_uncertainty_score":0.99603033},"labels":[],"label_agreement":null},{"id":"W4406290055","doi":"10.1101/2025.01.10.632350","title":"How Intrinsic Neural Timescales Relate To Event-Related Activity – Key Role For Intracolumnar Connections","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Mental Health Research Canada; General Dynamics (Canada)","funders":"","keywords":"Key (lock); Event (particle physics); Event-related potential; Psychology; Cognitive psychology; Neuroscience; Computer science; Cognitive science; Physics; Electroencephalography; Computer security","score_opus":0.014598472178183322,"score_gpt":0.22926636520226726,"score_spread":0.21466789302408393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406290055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97636265,0.00013065754,0.0073017925,0.0060672034,0.005253665,0.002935985,0.0010561392,0.000870339,0.00002159622],"genre_scores_gemma":[0.9968938,0.00008173724,0.0008013506,0.0006816269,0.00031653274,0.0007240178,7.406813e-7,0.00010754297,0.0003926156],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99623734,0.0002958471,0.0005169658,0.0017928701,0.00038056565,0.00077642506],"domain_scores_gemma":[0.99719733,0.0004590265,0.00045591593,0.0011516608,0.00037517297,0.00036086977],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00041807443,0.0006800819,0.00069071277,0.000537656,0.00058260467,0.0006431438,0.0007048139,0.0006927911,0.000020227564],"category_scores_gemma":[0.0017145473,0.0007523487,0.0003545491,0.0011499096,0.00013184489,0.0003768133,0.000712255,0.0012537811,0.000042630745],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014000523,0.00021019897,0.00017147661,0.00019202342,0.00006817573,0.000020193707,0.000009718623,0.001440132,0.99323493,0.0035162063,0.00089684577,0.00010009475],"study_design_scores_gemma":[0.0009965769,0.00037752197,0.014545005,0.00043051335,0.00028812434,1.5131826e-7,0.000004485262,0.07820269,0.87619317,0.00008645518,0.02720249,0.0016728293],"about_ca_topic_score_codex":0.000041763287,"about_ca_topic_score_gemma":0.000013204328,"teacher_disagreement_score":0.117041774,"about_ca_system_score_codex":0.00041295183,"about_ca_system_score_gemma":0.0003861527,"threshold_uncertainty_score":0.99949276},"labels":[],"label_agreement":null},{"id":"W4406311070","doi":"10.1371/journal.pcbi.1012683","title":"Dialogue mechanisms between astrocytic and neuronal networks: A whole-brain modelling approach","year":2025,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Canadian Institutes of Health Research; Concordia University","keywords":"Neuroscience; Glutamatergic; Nerve net; GABAergic; Computer science; Brain function; Premovement neuronal activity; Biological neural network; Network dynamics; Computational model; Network model; Artificial neural network; Biology; Artificial intelligence; Glutamate receptor; Inhibitory postsynaptic potential","score_opus":0.04014588872471528,"score_gpt":0.2504192447418055,"score_spread":0.2102733560170902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406311070","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22064981,0.0000147459195,0.7770319,0.0016435925,0.00015552524,0.00017293528,0.00003958197,0.00006149422,0.00023042002],"genre_scores_gemma":[0.99057657,0.0000026351672,0.006532635,0.0024488193,0.000098353434,0.000022250386,0.00019434805,0.000010025512,0.00011436976],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987722,0.00018771036,0.00021730525,0.0004895071,0.00009884197,0.00023442379],"domain_scores_gemma":[0.9986239,0.0011409076,0.00006599989,0.000082525614,0.0000330163,0.0000536668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001081541,0.0001419402,0.00019180644,0.00013190538,0.00019393556,0.000044623346,0.00013865788,0.00009108325,0.0000032084142],"category_scores_gemma":[0.00010843741,0.00013050143,0.00004069648,0.00022777445,0.000118134325,0.00006813523,0.000117165255,0.00020048983,0.000006841002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037056514,0.000063600026,0.0006070119,0.000019175519,0.00002054343,0.000002166914,0.000016611635,0.7222189,0.019689824,0.25527442,0.0001247431,0.0019260151],"study_design_scores_gemma":[0.00029215796,0.0000937884,0.0007451843,0.0000075108,0.000012396835,0.0000054543093,0.0000033155768,0.85879725,0.00027695394,0.13951941,0.0001517353,0.0000948161],"about_ca_topic_score_codex":0.0000033692006,"about_ca_topic_score_gemma":4.1601587e-7,"teacher_disagreement_score":0.7704993,"about_ca_system_score_codex":0.000025071955,"about_ca_system_score_gemma":0.000037971255,"threshold_uncertainty_score":0.5321694},"labels":[],"label_agreement":null},{"id":"W4406476980","doi":"10.1016/j.neuropsychologia.2025.109079","title":"Causal evidence for increased theta and gamma phase consistency in a parieto-frontal network during the maintenance of visual attention","year":2025,"lang":"en","type":"article","venue":"Neuropsychologia","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Health and Medical Research Council","keywords":"Psychology; Cognitive psychology; Consistency (knowledge bases); Neuroscience","score_opus":0.03954945611740871,"score_gpt":0.343331230185521,"score_spread":0.30378177406811224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406476980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970633,0.00008739888,0.00056659133,0.0006840433,0.0006074896,0.000601765,0.000012342012,0.000031056556,0.00034605086],"genre_scores_gemma":[0.9984916,0.000118343465,0.000041081115,0.00090788706,0.0000407075,0.00005406559,0.0000014843774,0.00000966103,0.00033517208],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99860567,0.0002344112,0.0003145543,0.0004611723,0.00011490762,0.00026927143],"domain_scores_gemma":[0.9988137,0.000737469,0.000141367,0.00024210059,0.000036137957,0.00002925107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032841193,0.00013210798,0.00017585058,0.000064525804,0.00016814275,0.000039507177,0.00018784414,0.000053157357,0.000005451784],"category_scores_gemma":[0.0010617713,0.00009401083,0.00006261933,0.00037923182,0.0002454805,0.00012240173,0.000082075276,0.00018693322,0.0000012812789],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017595105,0.00024246691,0.03661426,0.00007165092,0.0000054165707,0.00003533663,0.000030715593,0.00005051245,0.9516712,0.0034267183,0.00037466266,0.0057175853],"study_design_scores_gemma":[0.003476392,0.0008526036,0.97546226,0.000254241,0.000024874678,0.00006889845,0.000034008306,0.012929501,0.004449681,0.0020335228,0.00023451078,0.0001795214],"about_ca_topic_score_codex":0.000025373885,"about_ca_topic_score_gemma":0.00003420422,"teacher_disagreement_score":0.94722146,"about_ca_system_score_codex":0.000020932102,"about_ca_system_score_gemma":0.000023081377,"threshold_uncertainty_score":0.38336504},"labels":[],"label_agreement":null},{"id":"W4406521167","doi":"10.1016/s0029-7437(05)71010-7","title":"10.1016/s0029-7437(05)71010-7","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Neurocognitive; Psychology; Psychiatry; Cognition","score_opus":0.011763399446980067,"score_gpt":0.19110345193822026,"score_spread":0.1793400524912402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406521167","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006469977,0.0000042725856,0.000001748552,0.0007124899,0.0000016663869,0.0001780188,0.000018908344,0.00020104292,0.99241185],"genre_scores_gemma":[0.0015607057,3.2697923e-7,0.00002659123,0.00045391917,0.00012325573,0.000012833355,0.0000046191585,0.000023239723,0.9977945],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99894005,0.000051951454,0.00014862501,0.00036397073,0.00021091524,0.00028446643],"domain_scores_gemma":[0.9994601,0.00008932758,0.00002722366,0.00027383523,0.0000169813,0.00013250449],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00008341304,0.00013243794,0.00011978422,0.00006535677,0.00013028982,0.00006865414,0.00022571495,0.000047931357,0.9936283],"category_scores_gemma":[0.000107475906,0.0001204618,0.00005917325,0.00029985077,0.000037445843,0.00013298023,0.000042590895,0.00011906158,0.99363685],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072767725,0.000052081672,4.4606583e-8,0.0000032082664,0.0000015820992,0.000013010294,0.0000058792452,0.00014942918,0.023007149,0.000011108083,0.7175866,0.25909716],"study_design_scores_gemma":[0.00015034637,0.00018654307,0.000018315855,0.0000065701597,0.0000048674365,0.00002682872,1.9288719e-7,0.0027842738,0.0038489504,0.000044815708,0.9927708,0.00015749148],"about_ca_topic_score_codex":0.000009716556,"about_ca_topic_score_gemma":1.4639133e-7,"teacher_disagreement_score":0.2751842,"about_ca_system_score_codex":0.000027648839,"about_ca_system_score_gemma":0.000013143147,"threshold_uncertainty_score":0.49122897},"labels":[],"label_agreement":null},{"id":"W4406537969","doi":"10.1038/s41593-024-01845-7","title":"Dynamical constraints on neural population activity","year":2025,"lang":"en","type":"article","venue":"Nature Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; U.S. Department of Health and Human Services; National Institutes of Health; National Science Foundation","keywords":"Neuroscience; Population; Neuroscientist; Neural activity; Psychology; Cognitive science; Biology; Medicine; Central nervous system; Oligodendrocyte","score_opus":0.015563009168225972,"score_gpt":0.2966286570721065,"score_spread":0.28106564790388056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406537969","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9821626,0.00000410392,0.0006170642,0.0032085832,0.004412845,0.00027927881,0.000021342881,0.00018992882,0.009104268],"genre_scores_gemma":[0.98493695,0.0000051892566,0.000017847584,0.014193747,0.000045926896,0.000007985311,0.0000018377343,0.00000940217,0.0007811191],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9980067,0.00015026734,0.00015828492,0.00084865297,0.00047762258,0.00035844167],"domain_scores_gemma":[0.9991408,0.00033024867,0.00007960423,0.0003365097,0.000028059558,0.00008475133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013324273,0.00019111586,0.00015187453,0.00021583406,0.00037940094,0.00014139595,0.00041207692,0.00019575086,0.000017942291],"category_scores_gemma":[0.0019265743,0.00016242682,0.00008035106,0.0010495466,0.00032755765,0.00031158005,0.00010312217,0.0009845955,0.000013238575],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007713403,0.000114858085,0.0009999659,0.000008543924,3.3903663e-7,0.000026526115,0.0000035771984,0.000544656,0.9104186,0.04578247,0.00026300605,0.041760284],"study_design_scores_gemma":[0.00067901926,0.00035322655,0.5195502,0.000049340422,0.000011440423,0.00007017501,0.0000037731536,0.32199362,0.15034947,0.0043076775,0.002179484,0.00045260388],"about_ca_topic_score_codex":0.0000071227614,"about_ca_topic_score_gemma":0.0000061610076,"teacher_disagreement_score":0.7600692,"about_ca_system_score_codex":0.00007670331,"about_ca_system_score_gemma":0.000036644415,"threshold_uncertainty_score":0.66235733},"labels":[],"label_agreement":null},{"id":"W4406546345","doi":"10.1101/2025.01.16.633363","title":"A preparatory cranial potential for saccadic eye movements in macaque monkeys","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Institutes of Health","keywords":"Saccadic masking; Macaque; Neuroscience; Saccade; Eye movement; Frontal eye fields; Supplementary eye field; Electrophysiology; Electroencephalography; Psychology; Local field potential","score_opus":0.014808531883126246,"score_gpt":0.24556981934596742,"score_spread":0.23076128746284116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406546345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98681873,0.00007491194,0.00411969,0.00024007603,0.0047095795,0.0025845757,0.0010393033,0.00036137286,0.00005175968],"genre_scores_gemma":[0.9963804,0.00013186135,0.00068916363,0.001254795,0.00045657528,0.0008669154,6.99256e-7,0.00009263081,0.00012697274],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9960205,0.0002100542,0.0007551876,0.0017671757,0.0004748862,0.0007721989],"domain_scores_gemma":[0.9980243,0.00013003495,0.00041606065,0.0010362484,0.00019538298,0.00019801508],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002892224,0.00063522096,0.00062350987,0.0005656441,0.0002290726,0.00026478208,0.0008272481,0.0006221486,0.000033230226],"category_scores_gemma":[0.00052933994,0.00071623776,0.00027750095,0.00062728423,0.000111403235,0.00022272512,0.000632871,0.00086288276,0.000029371264],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020426734,0.00025897118,0.0013636969,0.00045630225,0.000032343632,0.00007163374,0.0000073156793,0.0011176644,0.9950556,0.0010661299,0.0003598238,0.000006263265],"study_design_scores_gemma":[0.0028865887,0.00019204049,0.026139088,0.0006878529,0.00009747681,2.1349607e-8,0.000002606982,0.05384815,0.9083434,0.00012037819,0.0060906154,0.0015918191],"about_ca_topic_score_codex":0.00007156453,"about_ca_topic_score_gemma":0.000008684756,"teacher_disagreement_score":0.086712226,"about_ca_system_score_codex":0.00044196137,"about_ca_system_score_gemma":0.00064982835,"threshold_uncertainty_score":0.9995289},"labels":[],"label_agreement":null},{"id":"W4406695564","doi":"10.7554/elife.99473.2.sa4","title":"eLife Assessment: Ultrastructural sublaminar-specific diversity of excitatory synaptic boutons in layer 1 of the adult human temporal lobe neocortex","year":2025,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Neocortex; Excitatory postsynaptic potential; Ultrastructure; Neuroscience; Temporal lobe; Biology; Layer (electronics); Anatomy; Chemistry; Inhibitory postsynaptic potential; Epilepsy","score_opus":0.03974747187112209,"score_gpt":0.3034677579580408,"score_spread":0.2637202860869187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406695564","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9422812,0.0011672309,0.00009704747,0.009404527,0.007903728,0.0032062447,0.0016300569,0.00011307457,0.034196924],"genre_scores_gemma":[0.9595001,0.0011673577,0.00004454992,0.0017540788,0.000060969272,0.000017512997,0.00011178286,0.000022333053,0.03732133],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9967736,0.0003888966,0.0008489976,0.0007296331,0.0009074381,0.0003514203],"domain_scores_gemma":[0.99786407,0.00031183165,0.0007173035,0.0007833786,0.00026040006,0.00006303442],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032531001,0.00040125416,0.00084070937,0.00024190528,0.0002605333,0.000028879766,0.0010813053,0.00023009004,0.0003320875],"category_scores_gemma":[0.00024420972,0.00028530337,0.00041841643,0.0007895101,0.00039886314,0.00014466225,0.00080523384,0.00082112313,0.0000034962982],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012310469,0.00087779737,0.07197887,0.013325808,0.00018252539,0.00011214205,0.00029120056,0.00010708331,0.16086963,0.049554672,0.6981608,0.004416333],"study_design_scores_gemma":[0.004909538,0.0014075242,0.7492402,0.021549579,0.0010268149,0.000109550405,0.00054360344,0.002466807,0.022305127,0.0062485486,0.18652803,0.0036646768],"about_ca_topic_score_codex":0.00082220597,"about_ca_topic_score_gemma":0.00073708344,"teacher_disagreement_score":0.67726135,"about_ca_system_score_codex":0.00018550748,"about_ca_system_score_gemma":0.00023401175,"threshold_uncertainty_score":0.9999599},"labels":[],"label_agreement":null},{"id":"W4406730440","doi":"10.1073/pnas.2408966122","title":"Layer-specific control of inhibition by NDNF interneurons","year":2025,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Innovation Cluster (Canada)","funders":"Deutsche Forschungsgemeinschaft; Wellcome Trust","keywords":"Neocortex; Neuroscience; Interneuron; Biology; Inhibitory postsynaptic potential","score_opus":0.03949107772567943,"score_gpt":0.2918051079524295,"score_spread":0.25231403022675003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406730440","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9839936,0.000051633804,0.000029586356,0.006108672,0.000067669884,0.0001795768,0.00004591872,0.000011237308,0.009512134],"genre_scores_gemma":[0.9986538,0.000037540158,0.000041325635,0.00090124574,0.000017803322,0.0000055576215,7.126272e-8,0.0000021201415,0.0003404977],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998677,0.000010317413,0.00030137727,0.00023447695,0.000674376,0.00010246374],"domain_scores_gemma":[0.9992629,0.00022592959,0.00034905595,0.0000072657804,0.00013941739,0.00001541925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000504834,0.00006915875,0.000120647484,0.00016387418,0.00012065363,0.000019763462,0.00044865443,0.000046879883,0.0000094458355],"category_scores_gemma":[0.0006336356,0.000047428697,0.000067814646,0.0008348565,0.0007238749,0.00030963664,0.00008909329,0.00012844698,8.3323863e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017528926,0.00003760594,0.0006217432,0.000022097658,0.0000016330587,1.9533766e-9,0.000015436251,0.000027218894,0.86087924,0.13574675,0.0023358827,0.000294845],"study_design_scores_gemma":[0.00020563843,0.000046704878,0.004705388,0.00006899827,0.000004263298,0.0000019969532,0.000023730963,0.002449866,0.9536525,0.0379398,0.00086144364,0.00003968642],"about_ca_topic_score_codex":0.0000023722403,"about_ca_topic_score_gemma":2.0928145e-8,"teacher_disagreement_score":0.09780695,"about_ca_system_score_codex":0.000020093037,"about_ca_system_score_gemma":0.000015042723,"threshold_uncertainty_score":0.26671472},"labels":[],"label_agreement":null},{"id":"W4406818045","doi":"10.1101/2025.01.24.634752","title":"Single cell approaches define the murine leptomeninges:cortical brain interface as a distinct cellular neighborhood comprised of neural and nonneural cell types","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Hospital for Sick Children; Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"","keywords":"Leptomeninges; Cell; Neuroscience; Neural cell; Cell type; Interface (matter); Biology; Cell biology; Computer science; Central nervous system; Genetics; Biochemistry","score_opus":0.026746542488640238,"score_gpt":0.21648193861051526,"score_spread":0.189735396121875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406818045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947631,0.00053121074,0.001308543,0.0009808152,0.0009638785,0.0008827919,0.00019415439,0.00019656593,0.00017895026],"genre_scores_gemma":[0.9989343,0.000033948927,0.00030987093,0.00033845694,0.00015569555,0.000069169844,7.657151e-7,0.000079322475,0.000078445715],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9964527,0.00045703314,0.00069955847,0.0013089874,0.0004962658,0.0005854393],"domain_scores_gemma":[0.9972513,0.00077076966,0.0005478919,0.0010640128,0.00015811174,0.00020796755],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00043686325,0.0006654144,0.0006814905,0.0002154808,0.00028661147,0.00026258727,0.0008074926,0.00034173057,0.00002841212],"category_scores_gemma":[0.0006289616,0.00054509414,0.00019691637,0.00058561057,0.00044025705,0.0001294621,0.0012842709,0.0012883078,0.0000133356525],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012544882,0.00039835236,0.0014953961,0.0006107203,0.00002195506,0.00003796089,0.00003130362,0.00033082507,0.9962438,0.0006286456,0.00006739025,0.000008202914],"study_design_scores_gemma":[0.0007440335,0.00030118076,0.0058485153,0.0001466952,0.00013559089,1.6484857e-7,0.000010104754,0.041586947,0.95027363,0.000014128752,0.0003595112,0.0005795151],"about_ca_topic_score_codex":0.00003941804,"about_ca_topic_score_gemma":0.000002615777,"teacher_disagreement_score":0.045970187,"about_ca_system_score_codex":0.00009814293,"about_ca_system_score_gemma":0.00018874645,"threshold_uncertainty_score":0.99970007},"labels":[],"label_agreement":null},{"id":"W4406832874","doi":"10.1101/2025.01.26.634933","title":"Symmetries and Continuous Attractors in Disordered Neural Circuits","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Harvard University; Kavli Foundation","keywords":"Homogeneous space; Attractor; Electronic circuit; Statistical physics; Computer science; Mathematics; Theoretical physics; Topology (electrical circuits); Physics; Mathematical analysis; Quantum mechanics; Combinatorics; Geometry","score_opus":0.019333043892938013,"score_gpt":0.2272780826324355,"score_spread":0.2079450387394975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406832874","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953551,0.00047018463,0.000117935546,0.00053339964,0.002143148,0.00077129784,0.00028510712,0.00028254293,0.000041281684],"genre_scores_gemma":[0.998533,0.00040024173,0.000057694,0.0007117267,0.00011495302,0.00009631922,2.0761502e-7,0.000053965552,0.00003190326],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9970609,0.00021553549,0.0005285949,0.0013138748,0.00032616945,0.00055490836],"domain_scores_gemma":[0.9983235,0.0003534186,0.0002976589,0.0007133075,0.00014908877,0.00016305511],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030550078,0.00051687215,0.00060431677,0.00057825254,0.0001663497,0.00035170474,0.00045444228,0.00041564673,0.0000114016375],"category_scores_gemma":[0.0015966588,0.0005445444,0.00010644404,0.00093830464,0.00018848943,0.00022245543,0.0005676406,0.00097756,0.00000842738],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003492406,0.00018476581,0.038330793,0.0004608549,0.000020762522,0.00012477531,0.000015347305,0.00010072306,0.9576282,0.0029269366,0.00011796213,0.000053933516],"study_design_scores_gemma":[0.001733877,0.00017962926,0.6226603,0.0008249762,0.00010764941,1.0478777e-7,0.000010339636,0.009817066,0.35885262,0.000053327884,0.0037612808,0.0019988616],"about_ca_topic_score_codex":0.000100987716,"about_ca_topic_score_gemma":0.0000143893385,"teacher_disagreement_score":0.5987756,"about_ca_system_score_codex":0.00013986148,"about_ca_system_score_gemma":0.00020625086,"threshold_uncertainty_score":0.9997006},"labels":[],"label_agreement":null},{"id":"W4406989539","doi":"10.7554/elife.99545.3.sa4","title":"eLife Assessment: Efficient coding in biophysically realistic excitatory-inhibitory spiking networks","year":2025,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"HORIZON EUROPE Marie Sklodowska-Curie Actions; National Institutes of Health; Technische Universität Berlin; European Commission; Simons Foundation Autism Research Initiative","keywords":"Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Coding (social sciences); Computer science; Mathematics; Neuroscience; Statistics; Biology","score_opus":0.03264587573280587,"score_gpt":0.32337173217023796,"score_spread":0.2907258564374321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406989539","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0057485723,0.012189056,0.108111344,0.079005145,0.1112308,0.012124875,0.0012565539,0.0023213297,0.6680123],"genre_scores_gemma":[0.4558865,0.033931613,0.00073182833,0.10963377,0.005403842,0.00077243766,0.0016080174,0.00040534468,0.39162663],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99609685,0.00035389958,0.0008342629,0.0012516575,0.00083711726,0.00062622124],"domain_scores_gemma":[0.99780107,0.0009636398,0.00038102438,0.0006085665,0.00011770052,0.00012799358],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006668948,0.0005226307,0.00083675224,0.0003621081,0.0002035108,0.00015863842,0.00053563627,0.00028305032,0.000100599806],"category_scores_gemma":[0.00079937064,0.00046580564,0.0002811615,0.0010492693,0.00010849014,0.00007140606,0.00034522856,0.0012608527,0.00002492127],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036015826,0.0005571793,0.000030904648,0.006417878,0.000026360847,0.00040196546,0.000015569083,0.02355028,0.012134578,0.051336553,0.88677853,0.0187142],"study_design_scores_gemma":[0.00065754796,0.00015173985,0.00038832903,0.017953148,0.00016509595,0.000014675935,0.000008299019,0.6076699,0.0002915182,0.0003786136,0.37099832,0.0013228181],"about_ca_topic_score_codex":0.000112807014,"about_ca_topic_score_gemma":0.000064429034,"teacher_disagreement_score":0.5841196,"about_ca_system_score_codex":0.00042060198,"about_ca_system_score_gemma":0.00030739597,"threshold_uncertainty_score":0.99977934},"labels":[],"label_agreement":null},{"id":"W4407010961","doi":"10.1126/sciadv.adr4038","title":"Touch-evoked traveling waves establish a translaminar spacetime code","year":2025,"lang":"en","type":"article","venue":"Science Advances","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Institute on Deafness and Other Communication Disorders; National Institute of Biomedical Imaging and Bioengineering; National Institute of Mental Health","keywords":"Traveling wave; Sensory system; Neuroscience; Electrophysiology; Barrel cortex; Perception; Physics; Spatiotemporal pattern; Somatosensory system; Inhibitory postsynaptic potential; Computer science; Psychology; Mathematics","score_opus":0.016784254402523967,"score_gpt":0.2852796087699424,"score_spread":0.26849535436741845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407010961","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94778484,0.0002974332,0.007142754,0.0045040944,0.0024566934,0.00039696752,0.000025333991,0.00024118136,0.037150685],"genre_scores_gemma":[0.99178106,0.0001194625,0.0008760328,0.001136422,0.00004406039,0.000014225582,7.7111577e-7,0.000007627444,0.0060203364],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99804896,0.00004070435,0.0002031281,0.00074537296,0.00047438307,0.00048743916],"domain_scores_gemma":[0.99929416,0.00020561276,0.00006916417,0.00028396636,0.000063350155,0.000083760286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032805174,0.00015425704,0.0001598568,0.00021967819,0.0006381685,0.00024767,0.0006396179,0.000033554337,0.000028945364],"category_scores_gemma":[0.0006687048,0.0001296833,0.000057669597,0.0020859858,0.00091579923,0.001500894,0.00006480617,0.00015300611,0.000022292474],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022470073,0.000031820782,0.000096524425,0.000016691503,6.340437e-7,0.0000074015175,0.00015161347,0.00050110917,0.93346274,0.005960589,0.00007064644,0.059677742],"study_design_scores_gemma":[0.00035602902,0.0001208569,0.0014760674,0.000078820834,0.000009341634,0.000012698863,0.00031686889,0.012645005,0.9417954,0.017405389,0.025516804,0.00026673017],"about_ca_topic_score_codex":0.000012509561,"about_ca_topic_score_gemma":0.00005819606,"teacher_disagreement_score":0.059411015,"about_ca_system_score_codex":0.000050205654,"about_ca_system_score_gemma":0.00016134695,"threshold_uncertainty_score":0.5288332},"labels":[],"label_agreement":null},{"id":"W4407013272","doi":"10.1162/netn_a_00442","title":"Firing rate distributions in plastic networks of spiking neurons","year":2025,"lang":"en","type":"article","venue":"Network Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Sentinelle Nord, Université Laval; Ministerio de Universidades; Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada; Université Laval","keywords":"Computer science","score_opus":0.020212891710677975,"score_gpt":0.25714075281303767,"score_spread":0.2369278611023597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407013272","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9064439,0.00008674324,0.08337206,0.0006175145,0.006447298,0.00041000432,0.000015789292,0.000134425,0.0024722791],"genre_scores_gemma":[0.9985276,0.000081583355,0.000031050156,0.001038483,0.00007132681,0.000016349439,0.0000015066958,0.000010092204,0.00022201425],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979723,0.00019949561,0.0004034596,0.00063912047,0.00019836375,0.0005872609],"domain_scores_gemma":[0.9983734,0.0010674587,0.00014322311,0.0003215225,0.000025790969,0.00006861156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003250503,0.0001710169,0.00021408073,0.00016084446,0.00032024374,0.00007984691,0.00047881703,0.0000572219,0.0000064804276],"category_scores_gemma":[0.0016276265,0.0001676942,0.00006912396,0.0028997113,0.00029716315,0.00023167909,0.0002475935,0.00036464338,0.000002655233],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041745327,0.00008792604,0.012588765,0.000018666851,4.8781357e-7,0.000038667742,0.000008112783,0.6403081,0.31330347,0.028791893,0.000391502,0.0044206604],"study_design_scores_gemma":[0.0002990439,0.00009008536,0.1647199,0.00013427285,0.000007962496,0.000009565742,0.0000018153489,0.82271296,0.0066422676,0.00316533,0.0020375093,0.00017930032],"about_ca_topic_score_codex":0.000007657969,"about_ca_topic_score_gemma":0.000029695308,"teacher_disagreement_score":0.30666122,"about_ca_system_score_codex":0.000042964617,"about_ca_system_score_gemma":0.00006108389,"threshold_uncertainty_score":0.6838371},"labels":[],"label_agreement":null},{"id":"W4407128543","doi":"10.1371/journal.pcbi.1012794","title":"Contributions of action potentials to scalp EEG: Theory and biophysical simulations","year":2025,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada","keywords":"Electroencephalography; Spectral density; Scalp; Neuroscience; Amplitude; Biological system; Electrophysiology; Physics; Local field potential; Spectral analysis; Neural activity; Pattern recognition (psychology); Statistical physics; Computer science; Artificial intelligence; Biology; Spectroscopy; Optics","score_opus":0.025504500814263562,"score_gpt":0.3232890571055946,"score_spread":0.297784556291331,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407128543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8888451,0.0000070777887,0.10835467,0.002053299,0.0001831183,0.00018210123,0.00021401879,0.000029782228,0.00013083495],"genre_scores_gemma":[0.99849004,0.0000031759416,0.0002704295,0.0010662903,0.00002449926,0.000007806385,0.00004920282,0.0000028185643,0.000085742286],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992784,0.00019432293,0.00016278357,0.00021051567,0.000059685033,0.00009429111],"domain_scores_gemma":[0.9982779,0.001477241,0.00005012822,0.000060472765,0.000102201266,0.00003207903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007721911,0.000062260384,0.000116677,0.00013818582,0.00013071565,0.000011850512,0.000055862954,0.00004632516,0.000019554358],"category_scores_gemma":[0.0007715756,0.000055698314,0.000030170511,0.00027058402,0.000118406075,0.000053795764,0.000053849824,0.000057855657,0.000009866175],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040212977,0.000054090764,0.000119274046,0.000004061226,0.0000069691964,1.4282945e-7,0.0000054949355,0.0073859915,0.6089595,0.3822203,0.000027235174,0.0011767261],"study_design_scores_gemma":[0.0004863142,0.00019246223,0.022866078,0.000023496255,0.000035832094,0.000003783324,0.0000113977185,0.170468,0.22348183,0.5818894,0.0004185293,0.00012288647],"about_ca_topic_score_codex":0.0000032479315,"about_ca_topic_score_gemma":8.793945e-7,"teacher_disagreement_score":0.38547766,"about_ca_system_score_codex":0.000018276201,"about_ca_system_score_gemma":0.00003010537,"threshold_uncertainty_score":0.22713113},"labels":[],"label_agreement":null},{"id":"W4407188285","doi":"10.1101/2025.02.05.636482","title":"Neural signatures of stream segregation: From childhood to adulthood","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital","funders":"","keywords":"Early adulthood; Developmental psychology; Psychology; Maternal deprivation; Young adult","score_opus":0.011781641755730609,"score_gpt":0.22057269620085235,"score_spread":0.20879105444512175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407188285","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99252105,0.00018852262,0.00044128773,0.00066548074,0.0027605537,0.0009419191,0.0021229698,0.00032986238,0.000028350216],"genre_scores_gemma":[0.99665225,0.000062466206,0.0013952152,0.001373726,0.0003419825,0.00010135214,0.0000010822899,0.000059252045,0.000012681088],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968543,0.00020692612,0.0005955451,0.0013777094,0.0005353505,0.00043014868],"domain_scores_gemma":[0.99753094,0.0002605726,0.00044242674,0.0012310169,0.0003005466,0.00023449652],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001678583,0.0005392435,0.00058282417,0.00036004814,0.0001562527,0.00016909646,0.0008360936,0.0004566792,0.000051428993],"category_scores_gemma":[0.0009105343,0.0005492879,0.00021178753,0.0008283655,0.00007889116,0.00015360778,0.00072326045,0.00085898576,0.000024965382],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052756797,0.00021646418,0.0009954998,0.00013546208,0.000038969836,0.000022327848,0.000021641747,0.0015246061,0.99489635,0.0017023217,0.000366152,0.000027455299],"study_design_scores_gemma":[0.00045276788,0.00011414212,0.099893086,0.00047990386,0.00008539887,7.0388255e-9,0.0000025669335,0.0032654395,0.89440584,0.000039595845,0.0006291324,0.0006321102],"about_ca_topic_score_codex":0.000082674174,"about_ca_topic_score_gemma":0.0000045372008,"teacher_disagreement_score":0.100490496,"about_ca_system_score_codex":0.00011977808,"about_ca_system_score_gemma":0.0003494691,"threshold_uncertainty_score":0.99969584},"labels":[],"label_agreement":null},{"id":"W4407209662","doi":"10.1162/imag_a_00486","title":"Individual connectivity-based parcellations reflect functional properties of human auditory cortex","year":2025,"lang":"en","type":"article","venue":"Imaging Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institutes of Health; National Institute on Deafness and Other Communication Disorders; Canadian Institutes of Health Research; China Postdoctoral Science Foundation","keywords":"Auditory cortex; Functional connectivity; Neuroscience; Computer science; Cortex (anatomy); Human brain; Psychology","score_opus":0.06153014263727976,"score_gpt":0.29448365137108695,"score_spread":0.23295350873380719,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407209662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98950565,0.00001688265,0.0035700852,0.0013159864,0.002258861,0.00024485867,0.000020654303,0.00016117956,0.0029058405],"genre_scores_gemma":[0.99610823,0.0000018762561,0.000024743358,0.0029626996,0.000050394698,0.000018686333,0.0000020410362,0.000010517274,0.00082078105],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99821955,0.00015855792,0.0002714309,0.00060123333,0.00046948096,0.0002797753],"domain_scores_gemma":[0.9992079,0.00020661764,0.00015151207,0.00029878397,0.00008294097,0.00005223903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025458564,0.0001511569,0.00015235077,0.0003097217,0.00064132945,0.000121504134,0.00034284123,0.000026187601,0.00001479041],"category_scores_gemma":[0.000814848,0.00013771986,0.00007455853,0.00088066893,0.0007185631,0.00031094815,0.00011527365,0.00020978485,0.000005345355],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015602358,0.00009196171,0.0044211447,0.00002270215,6.02782e-7,0.000004218438,0.00001921285,0.0007593598,0.99067897,0.002887097,0.0005391247,0.0005599906],"study_design_scores_gemma":[0.00042352956,0.00009548136,0.13900924,0.0000750482,0.000017652474,0.00001130234,0.00001592814,0.044309482,0.8123922,0.0011698853,0.0022704387,0.00020982602],"about_ca_topic_score_codex":0.000019845518,"about_ca_topic_score_gemma":0.0000056511394,"teacher_disagreement_score":0.1782868,"about_ca_system_score_codex":0.000040101186,"about_ca_system_score_gemma":0.00020040812,"threshold_uncertainty_score":0.5616053},"labels":[],"label_agreement":null},{"id":"W4407236644","doi":"10.1002/hbm.70153","title":"Attenuation of High Gamma Activity by Repetitive Motor Tasks","year":2025,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; Kindai University; Asahikawa Medical University","keywords":"Attenuation; Neuroscience; Psychology; Physics; Optics","score_opus":0.027929136300271842,"score_gpt":0.2706228284784491,"score_spread":0.24269369217817727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407236644","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9835144,0.0000055080313,0.00872972,0.0023609821,0.0002665239,0.00026279112,0.000035636942,0.000068603236,0.0047558155],"genre_scores_gemma":[0.990245,0.0000032715043,0.00004281375,0.0012117124,0.000042850286,0.000018388675,0.000011803144,0.000009277591,0.008414914],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998919,0.00014559615,0.00019797459,0.00038132173,0.00018062712,0.00017546135],"domain_scores_gemma":[0.9991942,0.00034497317,0.00015756984,0.0002322288,0.000043299606,0.000027713048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022567384,0.00011257025,0.00015824311,0.00014760859,0.00024835582,0.000032252006,0.00013299583,0.000059283353,0.00006861238],"category_scores_gemma":[0.000542308,0.00011627212,0.00006129844,0.00030262687,0.000094209456,0.00016134424,0.00007367256,0.00014616679,0.000007739068],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017067678,0.000042209987,0.00021727452,0.00003546428,0.000004226657,0.0000019571985,0.000062926345,0.00001071168,0.96640587,0.02761888,0.003080031,0.002503368],"study_design_scores_gemma":[0.0016065974,0.00027965868,0.32638603,0.00039209923,0.00002596593,0.0000061803426,0.00015693426,0.006197329,0.61099535,0.027070893,0.026302908,0.0005800446],"about_ca_topic_score_codex":0.00009613182,"about_ca_topic_score_gemma":0.000012240875,"teacher_disagreement_score":0.35541052,"about_ca_system_score_codex":0.00006178183,"about_ca_system_score_gemma":0.00001897214,"threshold_uncertainty_score":0.47414392},"labels":[],"label_agreement":null},{"id":"W4407255017","doi":"10.7554/elife.99693.2","title":"Modeling and Simulation of Neocortical Micro- and Mesocircuitry. Part II: Physiology and Experimentation","year":2025,"lang":"en","type":"preprint","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Neuroscience; Optogenetics; Stimulus (psychology); Computer science; Somatosensory system; Connectome; Inhibitory postsynaptic potential; Biology; Functional connectivity; Psychology; Cognitive psychology","score_opus":0.050272541395261564,"score_gpt":0.3223143383853543,"score_spread":0.27204179699009273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407255017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974962,0.00021170427,0.001550797,0.00012512918,0.000272622,0.0002274171,0.000021699927,0.000020046527,0.00007438663],"genre_scores_gemma":[0.9989246,0.00037693643,0.00015715063,0.00036247037,0.000070101174,0.000013380369,0.0000130928165,0.000005920085,0.000076306664],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911535,0.00006944199,0.00021357252,0.0003989468,0.00009850715,0.00010421132],"domain_scores_gemma":[0.99961203,0.00013169162,0.00008107261,0.00010772867,0.000032397507,0.0000350863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007848236,0.000115248455,0.00019157806,0.000044945904,0.00010925055,0.00002441464,0.000032904412,0.00012283595,0.000005066222],"category_scores_gemma":[0.00012870319,0.00011263648,0.000023115006,0.00003943444,0.00008237763,0.000052743602,0.0003139443,0.0001524259,1.957466e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050162504,0.00003217006,0.00025006503,0.00018302142,0.0000094154575,0.0000010721203,0.0005119754,0.15853362,0.83688146,0.0014361911,0.00001932315,0.0020915153],"study_design_scores_gemma":[0.00021912274,0.000049003593,0.0007597122,0.000052326985,0.000020576848,0.0000024432968,0.000029625871,0.9563451,0.039233718,0.0031342888,0.000047990794,0.000106126856],"about_ca_topic_score_codex":0.000017195407,"about_ca_topic_score_gemma":0.0000014181288,"teacher_disagreement_score":0.79781145,"about_ca_system_score_codex":0.000011322682,"about_ca_system_score_gemma":0.00002423869,"threshold_uncertainty_score":0.45931825},"labels":[],"label_agreement":null},{"id":"W4407263916","doi":"10.1016/j.ynirp.2025.100239","title":"Regional gray matter thickness correlations of the hearing and deaf feline brains","year":2025,"lang":"en","type":"article","venue":"Neuroimage Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre; McGill University","funders":"Canadian Institutes of Health Research","keywords":"Gray (unit); Audiology; Psychology; Neuroscience; Medicine; Nuclear medicine","score_opus":0.027908017369223815,"score_gpt":0.26872918704318915,"score_spread":0.24082116967396533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407263916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98517406,0.000020561,0.0009427575,0.006785661,0.0010757387,0.00023205872,0.0000037941395,0.000036270852,0.00572907],"genre_scores_gemma":[0.99135065,0.000013005591,0.000042230833,0.003993197,0.00002754448,0.000005667559,0.0000013716752,0.00000960343,0.004556704],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99897856,0.00007979312,0.00028403293,0.00034061953,0.00019285808,0.00012414872],"domain_scores_gemma":[0.9991839,0.0002122359,0.00016686057,0.0003665959,0.000043232463,0.000027165288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013631774,0.00009213425,0.00011023514,0.000066557164,0.00021006078,0.00004046436,0.000080998245,0.000038068883,0.000017635286],"category_scores_gemma":[0.00045360377,0.00006646697,0.000061759536,0.00031525668,0.00014757627,0.000108378845,0.00013682187,0.00019516794,0.000002376017],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015664475,0.000068317,0.14387083,0.000053578995,0.0000038883395,0.00013545672,0.00005365353,0.00025572235,0.8459352,0.002907279,0.005442439,0.0012579415],"study_design_scores_gemma":[0.00020541316,0.00002719658,0.95257753,0.000092812974,0.000029123546,0.0017668232,0.0000103220855,0.004969365,0.023844602,0.00607968,0.010246211,0.00015089537],"about_ca_topic_score_codex":0.000027473749,"about_ca_topic_score_gemma":0.000010642563,"teacher_disagreement_score":0.8220906,"about_ca_system_score_codex":0.00001026141,"about_ca_system_score_gemma":0.000042607255,"threshold_uncertainty_score":0.27104443},"labels":[],"label_agreement":null},{"id":"W4407278427","doi":"10.1101/2025.02.07.637062","title":"Computation-through-Dynamics Toolkit: Simulated datasets and quality metrics for dynamical models of neural activity","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; Université de Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"National Institute of Neurological Disorders and Stroke; National Institute on Drug Abuse; National Science Foundation; National Institutes of Health; Wu Tsai Neurosciences Institute, Stanford University; Fonds de recherche du Québec – Nature et technologies; Emory University; Meta","keywords":"Computer science; Benchmark (surveying); Computation; Artificial neural network; Artificial intelligence; Machine learning; Field (mathematics); Models of neural computation; System dynamics; Algorithm; Mathematics","score_opus":0.060541691630668984,"score_gpt":0.3046456054384745,"score_spread":0.24410391380780555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407278427","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8230321,0.000069702546,0.15861182,0.00022652467,0.0010963508,0.0012500036,0.015507099,0.00019930772,0.0000071108498],"genre_scores_gemma":[0.99595064,0.00010980385,0.0034919411,0.00026380923,0.000060955143,0.000048491842,0.000014713308,0.00005491834,0.00000474343],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965726,0.0003446472,0.0007433112,0.0013900305,0.00048285542,0.00046654505],"domain_scores_gemma":[0.99652195,0.0013402038,0.0007032179,0.00087512453,0.00040560856,0.0001539098],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005914807,0.0005269111,0.0008083668,0.00033063337,0.00023249383,0.00019768265,0.0005069694,0.0005012751,0.0000020578168],"category_scores_gemma":[0.0015283618,0.0005632,0.00018723775,0.00093205244,0.00023538934,0.00047821013,0.00079636456,0.000693161,8.7950104e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006383945,0.0008266394,0.00136944,0.0033891334,0.00016776059,0.00001920792,0.000018789362,0.15384218,0.7946512,0.04485354,0.00012622708,0.00009749453],"study_design_scores_gemma":[0.00070239,0.00007906796,0.004182488,0.00010411736,0.00010313905,1.5283456e-8,8.978256e-7,0.9490469,0.045017287,0.00017260772,0.00007436923,0.00051670894],"about_ca_topic_score_codex":0.00018233413,"about_ca_topic_score_gemma":0.000012058945,"teacher_disagreement_score":0.7952047,"about_ca_system_score_codex":0.000282011,"about_ca_system_score_gemma":0.0003079371,"threshold_uncertainty_score":0.99968195},"labels":[],"label_agreement":null},{"id":"W4407307662","doi":"10.1101/2025.02.07.637179","title":"Neocortical Layer-5 tLTD Relies on Non-Ionotropic Presynaptic NMDA Receptor Signaling","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; McGill University Health Centre; Montreal General Hospital","funders":"","keywords":"Ionotropic effect; NMDA receptor; Neuroscience; Layer (electronics); Chemistry; Receptor; Biology; Biochemistry","score_opus":0.02149465974294636,"score_gpt":0.23565160142222313,"score_spread":0.21415694167927676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407307662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9908715,0.00006844036,0.0015835406,0.00080430065,0.0046087517,0.0011350149,0.0002500707,0.0005657899,0.00011257474],"genre_scores_gemma":[0.99596655,0.00021780755,0.0011977109,0.0014645929,0.0006482843,0.00027040555,4.528966e-7,0.00010259361,0.00013159873],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99571425,0.00028854958,0.00072921434,0.0018520209,0.0006274964,0.0007884676],"domain_scores_gemma":[0.9971168,0.00051338517,0.00040116344,0.001446478,0.00023135786,0.00029080253],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033323703,0.000735039,0.0006759189,0.0004059874,0.00037613645,0.00040224765,0.00086450274,0.0006433027,0.00011353957],"category_scores_gemma":[0.001380642,0.00073477393,0.00027441187,0.00066078105,0.00018975286,0.00017463602,0.00072117476,0.0015654536,0.00033539205],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001065879,0.00018785123,0.00054708624,0.00030338325,0.00003762517,0.000029132305,0.000005323281,0.0010144856,0.99305505,0.00403145,0.0006738895,0.00000816961],"study_design_scores_gemma":[0.00050228235,0.00023722005,0.005787584,0.00084998494,0.000075060954,1.42674095e-8,0.0000013714806,0.006824359,0.97847176,0.000025396052,0.0063060243,0.0009189746],"about_ca_topic_score_codex":0.000029832101,"about_ca_topic_score_gemma":0.0000012473383,"teacher_disagreement_score":0.014583288,"about_ca_system_score_codex":0.00035756378,"about_ca_system_score_gemma":0.00047575476,"threshold_uncertainty_score":0.99951035},"labels":[],"label_agreement":null},{"id":"W4407505189","doi":"10.1103/physreve.111.021001","title":"Dynamical properties and mechanisms of metastability: A perspective in neuroscience","year":2025,"lang":"en","type":"article","venue":"Physical review. E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fields Institute for Research in Mathematical Sciences; Western University","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo; Deutsche Forschungsgemeinschaft; Canada First Research Excellence Fund; Deutscher Akademischer Austauschdienst","keywords":"Perspective (graphical); Dynamical systems theory; Metastability; Cognitive science; Computer science; Confusion; Simple (philosophy); Point (geometry); Statistical physics; Epistemology; Psychology; Artificial intelligence; Physics; Mathematics; Philosophy","score_opus":0.043284371386535445,"score_gpt":0.3264176173654916,"score_spread":0.2831332459789561,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407505189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891444,0.0009253214,0.0021606209,0.0049617365,0.00014748395,0.000700341,0.00000799136,0.000029953517,0.0019221609],"genre_scores_gemma":[0.99756956,0.00070799486,0.00002411659,0.0016079546,0.000004998709,0.0000276611,1.3668097e-7,0.000003910992,0.000053681324],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989655,0.00014910928,0.00017972471,0.00039585898,0.00017029405,0.00013951419],"domain_scores_gemma":[0.9995806,0.00013283362,0.00005096251,0.0001674121,0.000036184738,0.00003196656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017201559,0.00009639722,0.000286908,0.00005456719,0.000037640104,0.000014286824,0.00012635437,0.000011516171,0.0000020955024],"category_scores_gemma":[0.0017112674,0.00006834678,0.00006461241,0.00057147135,0.00020162147,0.00012120203,0.00012294234,0.00013298988,0.000001758287],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010083957,0.00010420816,0.000033718516,0.00020507914,4.6705307e-7,0.0000010936349,0.000020994208,0.0000032871649,0.61160725,0.3866285,0.0000036206925,0.0013816911],"study_design_scores_gemma":[0.00034666405,0.0003119766,0.005811862,0.0011414939,0.000051645227,0.000007024587,0.00007473399,0.08857,0.22036074,0.6827736,0.0003062145,0.00024407438],"about_ca_topic_score_codex":0.000026118574,"about_ca_topic_score_gemma":0.0000073905744,"teacher_disagreement_score":0.3912465,"about_ca_system_score_codex":0.000035467445,"about_ca_system_score_gemma":0.000030839947,"threshold_uncertainty_score":0.27871007},"labels":[],"label_agreement":null},{"id":"W4407750580","doi":"10.3390/e27020215","title":"Control of Inhibition-Stabilized Oscillations in Wilson-Cowan Networks with Homeostatic Plasticity","year":2025,"lang":"en","type":"article","venue":"Entropy","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital; University of Ottawa","funders":"","keywords":"Neuroscience; Physics; Homeostatic plasticity; Inhibitory postsynaptic potential; Excitatory postsynaptic potential; Asynchronous communication; Excitation; Plasticity; Synaptic plasticity; Statistical physics; Control theory (sociology); Computer science; Chemistry; Psychology; Metaplasticity; Quantum mechanics; Control (management); Artificial intelligence","score_opus":0.008118751541673892,"score_gpt":0.22506414135319877,"score_spread":0.2169453898115249,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407750580","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8959564,0.000012017095,0.102292456,0.00064018427,0.00018085534,0.00034082835,0.000022380153,0.00003189423,0.00052297226],"genre_scores_gemma":[0.9993124,0.000009775611,0.00010940967,0.000438601,0.000016215543,0.000020180883,0.0000035963315,0.0000065897057,0.00008321022],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912614,0.00009700629,0.00022720879,0.0002259979,0.00014364372,0.00018002013],"domain_scores_gemma":[0.9991563,0.00058223965,0.00008593286,0.00010975169,0.000034376,0.0000314277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000070679096,0.00009435293,0.00017692152,0.00013347187,0.00007176193,0.000023143664,0.00005912244,0.000034414457,0.00003617762],"category_scores_gemma":[0.0003096262,0.000075742995,0.00003307321,0.00055916933,0.00010779255,0.00009251226,0.000017356637,0.00013000258,0.000003056477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001253629,0.0004396081,0.045102503,0.00008151588,0.000019544117,0.00003539212,0.00016207177,0.16095439,0.548595,0.24194923,0.00034125173,0.00106585],"study_design_scores_gemma":[0.007270942,0.00041063377,0.05709105,0.0002268712,0.000044784334,0.0000069028397,0.00007256024,0.89965576,0.028979342,0.0054244534,0.00053938245,0.00027733258],"about_ca_topic_score_codex":0.00003631931,"about_ca_topic_score_gemma":0.00007697164,"teacher_disagreement_score":0.73870134,"about_ca_system_score_codex":0.00004568353,"about_ca_system_score_gemma":0.000045258388,"threshold_uncertainty_score":0.30887097},"labels":[],"label_agreement":null},{"id":"W4407758291","doi":"10.1101/2025.02.14.25322283","title":"Characterizing resting-state EEG oscillatory and aperiodic activity in neurodegenerative diseases: A multicentric study","year":2025,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Center for Innovative Medicine; University of California, San Diego; National Institute for Health and Care Research; Universidad de Antioquia; King's College London; NIHR Newcastle Biomedical Research Centre; Helse Vest; Wellcome Trust","keywords":"Aperiodic graph; Electroencephalography; Resting state fMRI; Neuroscience; Psychology; Medicine; Audiology; Mathematics","score_opus":0.030060884603434257,"score_gpt":0.27929386374043863,"score_spread":0.24923297913700437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407758291","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963814,0.000053771917,0.000032856366,0.00034888173,0.0013762848,0.0014279874,0.0001551994,0.00011947358,0.00010413844],"genre_scores_gemma":[0.9987751,0.00017835225,0.000013078969,0.00045736038,0.000053907566,0.00015087472,0.0000050956032,0.000025331141,0.00034087547],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99659294,0.0008806923,0.00036944688,0.0013947706,0.00034502533,0.0004171157],"domain_scores_gemma":[0.9984976,0.0005249271,0.0002719598,0.00051592046,0.000040692725,0.00014888414],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034087023,0.00039667022,0.00048304905,0.00040407502,0.00022877306,0.00023162903,0.0003151157,0.00010003268,0.0000061983196],"category_scores_gemma":[0.0015541626,0.00037510326,0.00007920612,0.0004850993,0.00011215165,0.00016809313,0.001091914,0.00087739545,0.0000047162953],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002892911,0.00092607277,0.54698956,0.0003811376,0.000017520528,0.00048338194,0.0017779822,0.0010502993,0.44068828,0.000021566666,0.000011292587,0.007363605],"study_design_scores_gemma":[0.00070969126,0.0001304319,0.9304941,0.00015151454,0.0000415235,0.000003845648,0.000047541125,0.06323285,0.0045638783,0.00009637754,0.00012323502,0.0004049629],"about_ca_topic_score_codex":0.00013275603,"about_ca_topic_score_gemma":0.00016231439,"teacher_disagreement_score":0.43612438,"about_ca_system_score_codex":0.00011698555,"about_ca_system_score_gemma":0.00016146476,"threshold_uncertainty_score":0.99987006},"labels":[],"label_agreement":null},{"id":"W4407766626","doi":"10.1063/5.0233158","title":"Role of short-term plasticity and slow temporal dynamics in enhancing time series prediction with a brain-inspired recurrent neural network","year":2025,"lang":"en","type":"article","venue":"Chaos An Interdisciplinary Journal of Nonlinear Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Random graph; Population; Recurrent neural network; Network dynamics; Artificial intelligence; Robustness (evolution); Artificial neural network; Log-normal distribution; Machine learning; Graph; Neuroscience; Theoretical computer science; Mathematics; Psychology; Biology","score_opus":0.010759010356962584,"score_gpt":0.27524264984863966,"score_spread":0.2644836394916771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407766626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976377,0.00002471731,0.000980294,0.0005511007,0.0004636603,0.00017081577,0.000026071302,0.000015445705,0.00013021193],"genre_scores_gemma":[0.99878603,0.000013540842,0.0009565465,0.000048975355,0.00012275118,0.0000024087294,0.0000032912624,0.000009644559,0.00005680647],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998206,0.00008760818,0.0006104435,0.0003811878,0.00040597748,0.00030874662],"domain_scores_gemma":[0.9990844,0.00014623228,0.0003150634,0.00015603253,0.00016927447,0.00012898787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000618445,0.00017571225,0.0003217753,0.00039499797,0.0003408529,0.00011481247,0.00040842086,0.000050440438,0.000004840588],"category_scores_gemma":[0.0001542955,0.00013422835,0.00005601702,0.00095255754,0.0006676003,0.0012846773,0.00040295316,0.00035064117,3.9581528e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002230663,0.0005555957,0.06155592,0.00011317373,0.000014394796,0.00012023337,0.0016018954,0.01202621,0.90131396,0.00063294295,0.0000387134,0.019796304],"study_design_scores_gemma":[0.00046610323,0.002907525,0.05826258,0.0006944258,0.000017715938,0.0004253054,0.00063189125,0.92162013,0.014090928,0.0007096856,0.000009267442,0.00016443204],"about_ca_topic_score_codex":0.000003338783,"about_ca_topic_score_gemma":0.00019313785,"teacher_disagreement_score":0.90959394,"about_ca_system_score_codex":0.00017578535,"about_ca_system_score_gemma":0.00020119663,"threshold_uncertainty_score":0.54736733},"labels":[],"label_agreement":null},{"id":"W4407802546","doi":"10.1523/jneurosci.0651-24.2025","title":"Ultra-high Field fMRI Reveals Effect of Ketamine on Vocal Processing in Common Marmosets","year":2025,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada First Research Excellence Fund","keywords":"Marmoset; Neuroscience; Psychology; Schizophrenia (object-oriented programming); Ketamine; Thalamus; Callithrix; Auditory cortex; Psychosis; Sensory system; Sensory processing; Biology; Primate","score_opus":0.01656023454968108,"score_gpt":0.2953195941749544,"score_spread":0.2787593596252733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407802546","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99594814,0.00001874452,0.00028772175,0.0015866887,0.0011317268,0.00014548445,0.0000024228627,0.000008427275,0.0008706224],"genre_scores_gemma":[0.9969621,0.000043236578,0.000020241603,0.002659749,0.000032922402,0.0000017080496,7.753849e-8,0.000006108765,0.00027388983],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99823016,0.0002613018,0.000546978,0.00026770317,0.00046535814,0.00022847876],"domain_scores_gemma":[0.99847704,0.00083739817,0.00041341336,0.00016523652,0.0000451387,0.00006179759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006724802,0.00013625027,0.00033948725,0.00035614663,0.0000931351,0.000057353427,0.00045636116,0.00005172158,0.0000036359963],"category_scores_gemma":[0.0022291336,0.000098550016,0.00008634188,0.000982207,0.00012955283,0.00028787626,0.000043748114,0.0004268798,8.728482e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026856302,0.000101700076,0.004158726,0.000069474125,2.8605882e-7,0.00010326191,0.000018433499,0.00040573705,0.9794051,0.0002762044,0.00018615257,0.015006371],"study_design_scores_gemma":[0.0009021509,0.003279607,0.09021419,0.0004993871,0.000012034475,0.00015476465,0.0000058548003,0.0039545274,0.8997036,0.00091574603,0.00023746213,0.00012066276],"about_ca_topic_score_codex":0.0000061101186,"about_ca_topic_score_gemma":0.0000026785863,"teacher_disagreement_score":0.086055465,"about_ca_system_score_codex":0.000038440605,"about_ca_system_score_gemma":0.000056919613,"threshold_uncertainty_score":0.4018753},"labels":[],"label_agreement":null},{"id":"W4407872094","doi":"10.1152/jn.00444.2024","title":"Intrinsic voltage fluctuations reveal a form of phase-amplitude coupling in electrosensory pyramidal neurons","year":2025,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Amplitude; Noise (video); Coupling (piping); Physics; Neuroscience; Membrane potential; Subthreshold conduction; Neuron; Biological system; Biology; Computer science; Voltage; Optics; Artificial intelligence","score_opus":0.023555144004822042,"score_gpt":0.2933596525744066,"score_spread":0.26980450856958454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407872094","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99772406,0.000012082519,0.0006863576,0.00051574444,0.0007973619,0.00014022418,0.0000078189205,0.000011712327,0.00010462725],"genre_scores_gemma":[0.9986651,0.000104060935,0.00004399664,0.00096117595,0.000091721384,0.000002465205,0.0000010862487,0.000012682739,0.000117725314],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99853957,0.000093999675,0.0006989325,0.00023822272,0.00016489504,0.00026441124],"domain_scores_gemma":[0.9986503,0.0005760537,0.0004114109,0.00018716691,0.0001270881,0.00004799336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000848953,0.00013751326,0.00038027397,0.00047917082,0.000076898104,0.000016631417,0.00027620455,0.0000639017,0.000009375283],"category_scores_gemma":[0.0010239193,0.0001202833,0.00014196374,0.00062003924,0.00014352016,0.00015732285,0.000072886134,0.0005426773,0.0000029136334],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034606483,0.00027413422,0.000059094476,0.000022230432,0.000006435208,0.00008883094,0.00003126438,0.0033880617,0.9913935,0.0028235132,0.00004369327,0.0015231557],"study_design_scores_gemma":[0.010287012,0.00890717,0.29587957,0.00023788436,0.0001560899,0.000742262,0.00007919672,0.13442035,0.48361817,0.062923886,0.0021002588,0.00064813544],"about_ca_topic_score_codex":0.000004827322,"about_ca_topic_score_gemma":0.0000027079736,"teacher_disagreement_score":0.50777537,"about_ca_system_score_codex":0.000049631246,"about_ca_system_score_gemma":0.00012294076,"threshold_uncertainty_score":0.49050105},"labels":[],"label_agreement":null},{"id":"W4407933745","doi":"10.1016/j.brs.2024.12.847","title":"EEG-TMS revealing top-down cortical interactions underlying episodic memory","year":2025,"lang":"en","type":"article","venue":"Brain stimulation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Episodic memory; Neuroscience; Psychology; Electroencephalography; Computer science; Cognition","score_opus":0.057354329488478496,"score_gpt":0.34299378939361447,"score_spread":0.28563945990513595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407933745","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8964111,0.000013831067,0.08459134,0.005315517,0.0016728775,0.00039265328,0.0000065976556,0.00022358251,0.011372468],"genre_scores_gemma":[0.98949367,0.00000347551,0.00028032117,0.0032406065,0.0000657338,0.000016915537,0.000017060162,0.000013327601,0.00686889],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986463,0.00018223883,0.00032455925,0.0004117255,0.00020632935,0.00022880784],"domain_scores_gemma":[0.9981133,0.0014550018,0.000091447546,0.00023623565,0.000046632667,0.00005738618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024340137,0.00013334818,0.00013988781,0.00020746232,0.00043257748,0.000111705085,0.00011740105,0.000066547116,0.00012537846],"category_scores_gemma":[0.0018855189,0.00013268979,0.00007825931,0.00051381625,0.000059349888,0.0003058148,0.00006230361,0.0002744144,0.00006360339],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006781105,0.00007224622,0.00067593146,0.000031972675,0.000006758994,0.000008675472,0.00011113738,0.019816652,0.9187002,0.028384859,0.0018747064,0.030249024],"study_design_scores_gemma":[0.00093882735,0.000092512615,0.04958498,0.00015285227,0.000039396367,0.00002224505,0.000107516964,0.9142873,0.014714346,0.013830732,0.00589635,0.00033290862],"about_ca_topic_score_codex":0.0000342852,"about_ca_topic_score_gemma":0.000019185189,"teacher_disagreement_score":0.90398586,"about_ca_system_score_codex":0.0001143567,"about_ca_system_score_gemma":0.00004126917,"threshold_uncertainty_score":0.5410933},"labels":[],"label_agreement":null},{"id":"W4407934212","doi":"10.1016/j.brs.2024.12.798","title":"Investigating the dynamics of evoked neural resonant activity during movement","year":2025,"lang":"en","type":"article","venue":"Brain stimulation","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Brain Institute; Toronto Rehabilitation Institute; University of Toronto; University Health Network","funders":"","keywords":"Neural activity; Neuroscience; Dynamics (music); Movement (music); Psychology; Acoustics; Physics","score_opus":0.02566200029025266,"score_gpt":0.2774097394897929,"score_spread":0.25174773919954024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407934212","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99030256,0.000004929276,0.0023556328,0.006116619,0.00028320597,0.0003318094,0.000009361718,0.000048435322,0.00054745964],"genre_scores_gemma":[0.9979299,0.0000017074441,0.000048447324,0.0008736481,0.000027309032,0.000011138332,0.0000048664174,0.000008132245,0.0010948653],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99898314,0.00015836995,0.00021874148,0.00025159022,0.00023220977,0.00015594772],"domain_scores_gemma":[0.9989328,0.0006246506,0.00015405327,0.00022848646,0.000036194706,0.000023813784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022091626,0.00010192106,0.00010709045,0.000085086045,0.00026898505,0.00003799924,0.00014085781,0.00004140101,0.0000066428784],"category_scores_gemma":[0.0010557896,0.0000769339,0.00005297356,0.00044240354,0.000091157315,0.00015632162,0.00009933465,0.00013895417,0.0000013434636],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038893184,0.000032765263,0.0054293135,0.000037879978,0.0000032856096,8.1834634e-7,0.00007535059,0.031239342,0.93011147,0.019724319,0.000044776683,0.013261768],"study_design_scores_gemma":[0.00027061417,0.000024325931,0.19218312,0.000026354264,0.00000525075,6.283704e-7,0.000014718032,0.74809533,0.05414341,0.005168005,0.000012273608,0.000055983706],"about_ca_topic_score_codex":0.000057623834,"about_ca_topic_score_gemma":0.00004428119,"teacher_disagreement_score":0.8759681,"about_ca_system_score_codex":0.000090275185,"about_ca_system_score_gemma":0.000026609869,"threshold_uncertainty_score":0.31372735},"labels":[],"label_agreement":null},{"id":"W4407948023","doi":"10.1101/2025.02.25.640158","title":"Combining Sampling Methods with Attractor Dynamics in Spiking Models of Head-Direction Systems","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Attractor; Sampling (signal processing); Head (geology); Dynamics (music); Computer science; Statistical physics; Mathematics; Physics; Geology; Computer vision; Mathematical analysis; Acoustics","score_opus":0.05828531316473094,"score_gpt":0.2993898026863085,"score_spread":0.24110448952157754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407948023","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83298564,0.0002592315,0.1616615,0.0000670133,0.0032173046,0.0011153143,0.00021738815,0.00036183264,0.000114782284],"genre_scores_gemma":[0.9860105,0.00013140161,0.013444671,0.000074694035,0.000097506105,0.0001433854,4.7296294e-7,0.00008544342,0.000011936513],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99638647,0.00051150966,0.0008608526,0.001266297,0.00044634714,0.0005284988],"domain_scores_gemma":[0.9973377,0.0005415404,0.000799066,0.00090816675,0.0002896517,0.00012387415],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011473619,0.00054348656,0.00086722104,0.0007191207,0.00016318251,0.00022149304,0.0004973513,0.00047362593,0.000002250969],"category_scores_gemma":[0.00041896885,0.0005503596,0.00013110865,0.0011969516,0.00011196567,0.00031645666,0.0003719104,0.0011499211,0.0000013025476],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011391519,0.00018293317,0.003828018,0.0012665237,0.000041578754,0.000024639823,0.00001778928,0.08924576,0.8899588,0.015293171,0.0000023654823,0.000024529272],"study_design_scores_gemma":[0.0006275042,0.00011446084,0.0058098496,0.0030472074,0.00008424012,9.471256e-8,0.000014120265,0.83368325,0.1556903,0.000034023342,0.000108441025,0.00078652275],"about_ca_topic_score_codex":0.0004933613,"about_ca_topic_score_gemma":0.000038823917,"teacher_disagreement_score":0.7444375,"about_ca_system_score_codex":0.0008725883,"about_ca_system_score_gemma":0.0004185999,"threshold_uncertainty_score":0.99969476},"labels":[],"label_agreement":null},{"id":"W4407981473","doi":"10.1016/j.plrev.2025.02.006","title":"From pre-stimulus activity to the contents of consciousness – A spatiotemporal view: Reply to comments on “Beyond task response-Pre-stimulus activity modulates contents of consciousness”","year":2025,"lang":"en","type":"review","venue":"Physics of Life Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre","funders":"","keywords":"Consciousness; Stimulus (psychology); Psychology; Cognitive psychology; Neuroscience","score_opus":0.0778540964668769,"score_gpt":0.34989546629063883,"score_spread":0.2720413698237619,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407981473","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18239568,0.7567054,0.004963935,0.0035003275,0.005359625,0.031253446,0.01533922,0.00017626036,0.0003061227],"genre_scores_gemma":[0.26786205,0.7273676,0.00012023859,0.0030277285,0.00021384432,0.00073623273,0.00010239562,0.00012501609,0.00044489795],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99044055,0.0039606076,0.0023399985,0.0015685571,0.0011057113,0.0005845676],"domain_scores_gemma":[0.98710805,0.0057828627,0.0038201963,0.002541243,0.00041513334,0.00033250733],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015931876,0.0011015363,0.005770224,0.00030723526,0.00022438014,0.00007211615,0.0017400541,0.00026779476,0.0000133900585],"category_scores_gemma":[0.007859678,0.000784304,0.0013482119,0.0015314275,0.0003786271,0.00028297902,0.00087920047,0.00075045804,0.000045667362],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032680363,0.0016953847,0.00011264555,0.018234564,0.00032388483,0.00000712148,0.00039405868,0.00030219756,0.017582014,0.00014015779,0.0050134338,0.9529265],"study_design_scores_gemma":[0.002981423,0.0029028908,0.0010424963,0.08576501,0.0024572734,0.0000059004465,0.00002948479,0.002845095,0.017217677,0.0007610693,0.8816005,0.002391178],"about_ca_topic_score_codex":0.001200561,"about_ca_topic_score_gemma":0.00005524331,"teacher_disagreement_score":0.9505353,"about_ca_system_score_codex":0.00022821587,"about_ca_system_score_gemma":0.00042534695,"threshold_uncertainty_score":0.9994608},"labels":[],"label_agreement":null},{"id":"W4407994738","doi":"10.1152/jn.00399.2024","title":"Volumetric mesoscopic electrophysiology: a new imaging modality for the nonhuman primate","year":2025,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Graymont (Canada)","funders":"National Institute of Mental Health; BRAIN Initiative","keywords":"Neuroscience; Disconnection; Local field potential; Electrophysiology; Mesoscopic physics; Electroencephalography; Computer science; Psychology; Physics","score_opus":0.0211950251840873,"score_gpt":0.2977549429667604,"score_spread":0.27655991778267314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407994738","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97624946,0.00008026662,0.013139158,0.007418181,0.0025645494,0.00032337292,0.000004533308,0.000026871347,0.00019361975],"genre_scores_gemma":[0.99338406,0.00029436196,0.00020354656,0.005222087,0.00035969316,0.000006036552,5.844297e-7,0.0000150701835,0.0005145687],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99865043,0.00019747618,0.00043177008,0.00027689966,0.00012478109,0.00031864186],"domain_scores_gemma":[0.9981082,0.0010927886,0.00036980497,0.00025829338,0.00011530101,0.000055621997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008535887,0.00015330722,0.000322526,0.00024548505,0.00026865068,0.000044505094,0.00052576663,0.00004361644,0.000010192014],"category_scores_gemma":[0.00096203,0.00009712231,0.00022545978,0.0005514149,0.00013197164,0.00013177686,0.000098601115,0.0003728938,0.000004957279],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028899015,0.00004902756,0.00002412062,0.000016358754,0.000014310419,0.000012057267,0.000009411645,0.00080913317,0.98208946,0.002361653,0.0009817136,0.013343749],"study_design_scores_gemma":[0.008045936,0.007243755,0.21540307,0.00011962417,0.00058811007,0.00064420997,0.000049154125,0.22756661,0.25889516,0.20989121,0.07060538,0.0009477904],"about_ca_topic_score_codex":0.000010650286,"about_ca_topic_score_gemma":5.1060863e-7,"teacher_disagreement_score":0.7231943,"about_ca_system_score_codex":0.000046632882,"about_ca_system_score_gemma":0.0001574335,"threshold_uncertainty_score":0.39605328},"labels":[],"label_agreement":null},{"id":"W4407995693","doi":"10.7554/elife.104996.1","title":"Intrinsic dynamic shapes responses to external stimulation in the human brain","year":2025,"lang":"en","type":"preprint","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Columbia College","funders":"","keywords":"Stimulation; Neuroscience; Brain stimulation; Human brain; Psychology","score_opus":0.04323045151074056,"score_gpt":0.339254854970361,"score_spread":0.29602440345962044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407995693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99073505,0.000027481865,0.0012290304,0.0057271225,0.0006954344,0.0007368318,0.00006504487,0.00007492347,0.0007090615],"genre_scores_gemma":[0.98662204,0.000017954255,0.00009684119,0.010083408,0.00013133348,0.00008115044,0.000014067006,0.000013325997,0.0029399074],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99779767,0.00051863585,0.00034900574,0.0006320962,0.00046487994,0.00023772335],"domain_scores_gemma":[0.9984803,0.0009072857,0.00011989422,0.00040742726,0.00004100225,0.00004409605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060564704,0.00021990408,0.00020479831,0.0003768519,0.0001710757,0.00020150728,0.000535852,0.00013569777,0.00003127666],"category_scores_gemma":[0.0016093411,0.00017336872,0.00009058868,0.00035815136,0.00004192506,0.000066783796,0.0005401148,0.00064822705,0.00004048042],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006724276,0.0004242582,0.006259376,0.00027093364,0.00001429145,0.0003043612,0.0025706924,0.05439802,0.8626626,0.020448564,0.005015457,0.046958994],"study_design_scores_gemma":[0.0007459338,0.00027114458,0.87862176,0.0007054518,0.000026831349,0.000026711883,0.000068849484,0.09125152,0.0046915393,0.016572047,0.0062692873,0.0007489367],"about_ca_topic_score_codex":0.00010459249,"about_ca_topic_score_gemma":0.00023908286,"teacher_disagreement_score":0.8723624,"about_ca_system_score_codex":0.0001247648,"about_ca_system_score_gemma":0.000083634164,"threshold_uncertainty_score":0.7069771},"labels":[],"label_agreement":null},{"id":"W4407995694","doi":"10.7554/elife.104996","title":"Intrinsic dynamic shapes responses to external stimulation in the human brain","year":2025,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Columbia College","funders":"National Institute on Deafness and Other Communication Disorders; National Institute of Mental Health; National Institutes of Health","keywords":"Stimulation; Brain stimulation; Neuroscience; Human brain; Psychology","score_opus":0.028255395126008262,"score_gpt":0.3256016688649939,"score_spread":0.29734627373898564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407995694","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99085754,0.000010936294,0.0010234405,0.006891214,0.0001952553,0.00024770273,0.000004075721,0.000036671183,0.00073317095],"genre_scores_gemma":[0.9836344,0.0000032495493,0.00003581013,0.014188813,0.000034427325,0.0000183254,0.0000012549623,0.000005293796,0.002078398],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990416,0.00020824361,0.0001606682,0.0002371251,0.00020789957,0.0001444466],"domain_scores_gemma":[0.9992236,0.0005591977,0.000030030358,0.00014853514,0.00001716362,0.000021477255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032840887,0.00007752851,0.00007241411,0.00019138056,0.00014923653,0.00008297611,0.00018666041,0.000028374157,0.00002019313],"category_scores_gemma":[0.0009916304,0.000057586727,0.00002856564,0.0004666409,0.000026758735,0.00008457857,0.00005990355,0.0001304965,0.00003891081],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009980826,0.000056930683,0.0039029934,0.000007118958,9.190951e-7,0.000026250707,0.00023381758,0.0009269959,0.96698415,0.014889879,0.0010424329,0.011828714],"study_design_scores_gemma":[0.0003721364,0.00011767115,0.9655976,0.000052745436,0.000003440316,0.000007741479,0.0000410742,0.018933345,0.006677542,0.0038889057,0.004188313,0.000119479],"about_ca_topic_score_codex":0.000029373012,"about_ca_topic_score_gemma":0.00012598824,"teacher_disagreement_score":0.9616946,"about_ca_system_score_codex":0.00004533806,"about_ca_system_score_gemma":0.000020492866,"threshold_uncertainty_score":0.23483185},"labels":[],"label_agreement":null},{"id":"W4408006389","doi":"10.21203/rs.3.rs-5800769/v1","title":"Restoring theta synchronization reverses social deficits in Shank2 mutant mice","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Mutant; Synchronization (alternating current); Neuroscience; Psychology; Biology; Computer science; Genetics; Gene; Telecommunications","score_opus":0.10978148311409193,"score_gpt":0.3927911386588118,"score_spread":0.2830096555447199,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408006389","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96956056,0.00032110748,0.00042152932,0.004032842,0.0022408373,0.0025265492,0.000326486,0.00024195317,0.020328114],"genre_scores_gemma":[0.99577045,0.00057388755,0.000021924405,0.00007989073,0.00023466963,0.00012123399,0.000049555027,0.000028242881,0.00312016],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99583685,0.0009962961,0.00035597803,0.001001399,0.0011565416,0.000652953],"domain_scores_gemma":[0.9984359,0.00067505235,0.00010939839,0.0004552519,0.00025470133,0.000069689995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011810056,0.00023486541,0.00029090804,0.00076596165,0.0004681926,0.00025240166,0.0006225569,0.00034469384,0.00005484067],"category_scores_gemma":[0.0028764757,0.00023357471,0.000116016425,0.0012726362,0.00016843248,0.00014275212,0.0013814771,0.0018612796,0.000043372936],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013039075,0.0016652475,0.008830442,0.014167158,0.00006985194,0.0014750188,0.0071256817,0.031554844,0.697823,0.16436894,0.008705859,0.062910065],"study_design_scores_gemma":[0.0054520075,0.0014029653,0.047916725,0.021186912,0.00013098199,0.00008513339,0.0037587858,0.50815815,0.18741462,0.18300869,0.03624994,0.0052350806],"about_ca_topic_score_codex":0.00042755617,"about_ca_topic_score_gemma":0.0003153639,"teacher_disagreement_score":0.5104084,"about_ca_system_score_codex":0.00082851463,"about_ca_system_score_gemma":0.0005024759,"threshold_uncertainty_score":0.95249003},"labels":[],"label_agreement":null},{"id":"W4408006867","doi":"10.1101/2025.02.27.640604","title":"Distinct distributed brain networks dissociate self-generated mental states","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Psychology; Computer science; Cognitive psychology","score_opus":0.012173274199915774,"score_gpt":0.22342048453800128,"score_spread":0.21124721033808552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408006867","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9795181,0.00020563755,0.004835207,0.0015661886,0.0050921217,0.001254151,0.0059571313,0.0015532711,0.000018170702],"genre_scores_gemma":[0.99762964,0.0002826012,0.00022136582,0.0011041984,0.00039879617,0.00017995464,0.00001971452,0.00010144411,0.00006228118],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99572414,0.00047094657,0.0007074902,0.0016803565,0.00050577143,0.00091132155],"domain_scores_gemma":[0.99749583,0.0003593987,0.00056410144,0.0010200344,0.00024726617,0.00031338056],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004880712,0.00080166146,0.0006760238,0.00021092323,0.00056196196,0.0005859332,0.0008069698,0.0005573129,0.00004076135],"category_scores_gemma":[0.00062480755,0.000816874,0.00025228277,0.0011167972,0.00014317835,0.00018718798,0.0009841417,0.0011470263,0.000031394724],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000108401015,0.00051852455,0.0046260604,0.00030329585,0.00018636456,0.00014934373,0.00001401101,0.002981993,0.9813126,0.0014472409,0.008346225,0.0000059437866],"study_design_scores_gemma":[0.0017342498,0.00018235686,0.0761223,0.0006976134,0.0003144668,6.686318e-8,0.0000034772231,0.39090395,0.5056732,0.000028912025,0.021481823,0.0028575263],"about_ca_topic_score_codex":0.000049503516,"about_ca_topic_score_gemma":0.000008052088,"teacher_disagreement_score":0.47563934,"about_ca_system_score_codex":0.0006414133,"about_ca_system_score_gemma":0.00034731068,"threshold_uncertainty_score":0.9994282},"labels":[],"label_agreement":null},{"id":"W4408020379","doi":"10.7554/elife.93191.2","title":"Gain neuromodulation mediates task-relevant perceptual switches: evidence from pupillometry, fMRI, and RNN Modelling","year":2025,"lang":"en","type":"preprint","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Pupillometry; Neuromodulation; Task (project management); Perception; Psychology; Cognitive psychology; Computer science; Neuroscience; Cognitive science; Pupil; Engineering","score_opus":0.0744970803331858,"score_gpt":0.28550830244247477,"score_spread":0.21101122210928897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408020379","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96081674,0.000778188,0.03373225,0.0012395908,0.0023511674,0.00051738665,0.0002458508,0.0002045109,0.00011433499],"genre_scores_gemma":[0.9932502,0.0038407815,0.0008115551,0.0011173561,0.00046935692,0.000045320558,0.00008453993,0.00003656925,0.0003443214],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966463,0.00023989473,0.0005409544,0.0014648528,0.0007429484,0.0003650741],"domain_scores_gemma":[0.99738514,0.0014458746,0.00028883538,0.00062022323,0.00009922674,0.00016067647],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003738688,0.00043808133,0.00045379417,0.0002936512,0.00022912055,0.00029131662,0.000386707,0.0003277495,0.000044589662],"category_scores_gemma":[0.0018354481,0.0004140896,0.00014129843,0.00030688482,0.00012231825,0.00027490655,0.0009212296,0.0009094041,0.00003904895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019690565,0.00015518114,0.0045027104,0.00040935993,0.00004463776,0.000069351765,0.0029823969,0.3496611,0.63010806,0.00040904613,0.0014443881,0.010016867],"study_design_scores_gemma":[0.00020173573,0.00006686414,0.0025088135,0.00060085335,0.00006452041,0.0000052963496,0.000071170405,0.9725862,0.020040007,0.0030810842,0.0003020763,0.00047139282],"about_ca_topic_score_codex":0.0006646303,"about_ca_topic_score_gemma":0.000034663783,"teacher_disagreement_score":0.6229251,"about_ca_system_score_codex":0.00009542755,"about_ca_system_score_gemma":0.00012388246,"threshold_uncertainty_score":0.9998311},"labels":[],"label_agreement":null},{"id":"W4408030000","doi":"10.1126/sciadv.ads6967","title":"Benchmarking macaque brain gene expression for horizontal and vertical translation","year":2025,"lang":"en","type":"article","venue":"Science Advances","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; McGill University Health Centre; McGill University; Montreal Neurological Institute and Hospital","funders":"Biotechnology and Biological Sciences Research Council; Wellcome Trust","keywords":"Macaque; Biology; Gene expression; Gene; Translation (biology); Rhesus macaque; Regulation of gene expression; Neuroscience; Genetics; Messenger RNA","score_opus":0.019832388542695336,"score_gpt":0.3027853327515165,"score_spread":0.28295294420882117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408030000","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94956106,0.00015571165,0.04608501,0.0020276706,0.00090864074,0.00030828183,0.0000062799263,0.00004432557,0.0009030023],"genre_scores_gemma":[0.9959481,0.000029336825,0.003286462,0.0005827582,0.000045685225,0.000021913145,0.000001296767,0.000003150583,0.00008129388],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990306,0.00001940532,0.000113808754,0.00043047732,0.00018947902,0.00021625483],"domain_scores_gemma":[0.9994918,0.00032653086,0.000021315342,0.000090411966,0.000022505898,0.000047435242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019301544,0.000073960975,0.00007253541,0.00010694211,0.00046958978,0.00008916039,0.00014651028,0.000024092986,0.000003489568],"category_scores_gemma":[0.00036053424,0.000060468064,0.000022751647,0.00041943818,0.00034332633,0.00077508914,0.000036730424,0.00005561167,7.437103e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028923401,0.000008562645,0.00014590868,0.000009903607,1.5213334e-7,5.2141957e-7,0.000026048114,0.000041286963,0.88295066,0.0038483832,0.000014813464,0.11292482],"study_design_scores_gemma":[0.00022677454,0.00010675141,0.0006733525,0.000027992503,0.000002361927,0.0000036636584,0.00002178821,0.016597092,0.9716667,0.0071652085,0.0034286014,0.00007974101],"about_ca_topic_score_codex":0.0000016181536,"about_ca_topic_score_gemma":0.000006434358,"teacher_disagreement_score":0.112845086,"about_ca_system_score_codex":0.000024511828,"about_ca_system_score_gemma":0.00004477588,"threshold_uncertainty_score":0.36117524},"labels":[],"label_agreement":null},{"id":"W4408106188","doi":"10.2139/ssrn.5162765","title":"Weathernerf: Restoring Vision of Neural Radiance Fields Under Adverse Weather Conditions","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Radiance; Adverse weather; Environmental science; Computer science; Remote sensing; Meteorology; Geography","score_opus":0.01823252909042462,"score_gpt":0.2872763036468707,"score_spread":0.26904377455644607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408106188","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9737642,0.0011296226,0.011195116,0.0037015288,0.004289407,0.00047750847,0.0000842335,0.00009612186,0.005262273],"genre_scores_gemma":[0.9835143,0.0034951132,0.000030944346,0.0003563924,0.00030077752,0.000011293759,0.0000073997758,0.000026140851,0.012257613],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99721026,0.00021763745,0.00046014923,0.00049387914,0.00038445694,0.0012335991],"domain_scores_gemma":[0.99881744,0.00017213299,0.00043210606,0.000417819,0.00008065939,0.000079861165],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0005652368,0.00027442345,0.00032786245,0.00026061924,0.00026829503,0.000052492116,0.00054383086,0.00026932004,0.000062087456],"category_scores_gemma":[0.0001679118,0.00025617192,0.00031968963,0.00023243364,0.00012511763,0.00017184882,0.00023908968,0.003999341,0.000010146469],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042307735,0.00048162765,0.0007457891,0.00021866628,0.0002625338,0.000053297066,0.00040653022,0.09690697,0.12914476,0.74956584,0.00081843213,0.020972457],"study_design_scores_gemma":[0.001241703,0.00066133577,0.0013147219,0.0005708856,0.00015879527,0.000396598,0.0004180278,0.022044197,0.006033108,0.96519125,0.0012866987,0.000682663],"about_ca_topic_score_codex":0.000092185626,"about_ca_topic_score_gemma":0.00033046457,"teacher_disagreement_score":0.2156254,"about_ca_system_score_codex":0.0007478724,"about_ca_system_score_gemma":0.0014039204,"threshold_uncertainty_score":0.99998903},"labels":[],"label_agreement":null},{"id":"W4408134836","doi":"10.3389/fnagi.2025.1498400","title":"Extreme signal amplitude events in neuromagnetic oscillations reveal brain aging processing across adulthood","year":2025,"lang":"en","type":"article","venue":"Frontiers in Aging Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fraser Health; Simon Fraser University; Royal Columbian Hospital","funders":"","keywords":"Magnetoencephalography; Neurophysiology; Neuroimaging; Electroencephalography; Brain activity and meditation; Neuroscience; Kurtosis; Psychology; Ageing; Biology; Mathematics; Statistics","score_opus":0.027317814519613712,"score_gpt":0.28721516287630794,"score_spread":0.2598973483566942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408134836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95928943,0.00010562351,0.032147605,0.004189868,0.003010746,0.00056676456,0.00001381062,0.00015989,0.00051629025],"genre_scores_gemma":[0.9925369,0.000028859698,0.0009707925,0.005095622,0.000040579576,0.000040149167,0.0000017603874,0.00002483485,0.0012604818],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9962455,0.00034953022,0.00058063964,0.0013356586,0.0005363759,0.0009522628],"domain_scores_gemma":[0.9990803,0.00022409292,0.000174763,0.00037175624,0.000036953803,0.000112161695],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006635651,0.00029768894,0.00030656584,0.0006456162,0.0005565225,0.00023096701,0.00078778807,0.00007407963,0.0000030215374],"category_scores_gemma":[0.0013302049,0.0003163352,0.000073456,0.0034509655,0.00030495593,0.00075840077,0.00030411317,0.000616671,0.000002949395],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042918957,0.00022399523,0.33585876,0.00012318934,6.290986e-7,0.00012417701,0.0009316796,0.008875295,0.61771774,0.00028696857,0.00074922125,0.03506543],"study_design_scores_gemma":[0.0013552209,0.000121977035,0.6219761,0.00057807425,0.0000068759796,0.00004602599,0.00027681317,0.360989,0.0071881562,0.0051930537,0.0016501843,0.0006185556],"about_ca_topic_score_codex":0.000039550116,"about_ca_topic_score_gemma":0.000038776117,"teacher_disagreement_score":0.6105296,"about_ca_system_score_codex":0.00019149273,"about_ca_system_score_gemma":0.00015004026,"threshold_uncertainty_score":0.9999289},"labels":[],"label_agreement":null},{"id":"W4408189893","doi":"10.7554/elife.92119.4","title":"Movies reveal the fine-grained organization of infant visual cortex","year":2025,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Advanced Research; James S. McDonnell Foundation","keywords":"Visual cortex; Neuroscience; Biology; Cortex (anatomy); Cognitive science; Evolutionary biology; Psychology","score_opus":0.010507257745804362,"score_gpt":0.2597462182071533,"score_spread":0.24923896046134897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408189893","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957283,0.000010824178,0.00061063713,0.0017824777,0.0004249335,0.0001343542,0.000006433015,0.00004003659,0.0012619952],"genre_scores_gemma":[0.9955151,0.000019578732,0.000014449015,0.001708815,0.000038793154,0.0000029443106,0.00000487293,0.000005741861,0.0026896927],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994112,0.000050846036,0.00015455419,0.00014145051,0.00015616526,0.00008578837],"domain_scores_gemma":[0.9995621,0.00015444364,0.00006680428,0.00013234903,0.000070304435,0.000014038296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000096845964,0.00005915596,0.00008073984,0.000046107572,0.000111899986,0.00002153007,0.0000990784,0.000026011738,0.000030305131],"category_scores_gemma":[0.0010520983,0.000039059658,0.00002432225,0.0005632125,0.000060323047,0.000052383977,0.000062527426,0.000066504464,0.000013745982],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014474349,0.000035660396,0.005921265,0.000015976448,0.0000035132043,0.0000019601487,0.00009857515,0.000055390105,0.97259945,0.015674798,0.004212505,0.0013664248],"study_design_scores_gemma":[0.00047321524,0.00012205522,0.22897257,0.000042217074,0.000022495435,0.0000080971495,0.00007151084,0.010552527,0.7510784,0.0007858339,0.0077240057,0.00014706512],"about_ca_topic_score_codex":0.000016295766,"about_ca_topic_score_gemma":0.000008844487,"teacher_disagreement_score":0.22305131,"about_ca_system_score_codex":0.000010316387,"about_ca_system_score_gemma":0.000037279533,"threshold_uncertainty_score":0.15928066},"labels":[],"label_agreement":null},{"id":"W4408224298","doi":"10.7554/elife.99545.4.sa0","title":"eLife Assessment: Efficient coding in biophysically realistic excitatory-inhibitory spiking networks","year":2025,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Coding (social sciences); Computer science; Neuroscience; Mathematics; Statistics; Biology","score_opus":0.03264587573280587,"score_gpt":0.32337173217023796,"score_spread":0.2907258564374321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408224298","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0057485723,0.012189056,0.108111344,0.079005145,0.1112308,0.012124875,0.0012565539,0.0023213297,0.6680123],"genre_scores_gemma":[0.4558865,0.033931613,0.00073182833,0.10963377,0.005403842,0.00077243766,0.0016080174,0.00040534468,0.39162663],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99609685,0.00035389958,0.0008342629,0.0012516575,0.00083711726,0.00062622124],"domain_scores_gemma":[0.99780107,0.0009636398,0.00038102438,0.0006085665,0.00011770052,0.00012799358],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006668948,0.0005226307,0.00083675224,0.0003621081,0.0002035108,0.00015863842,0.00053563627,0.00028305032,0.000100599806],"category_scores_gemma":[0.00079937064,0.00046580564,0.0002811615,0.0010492693,0.00010849014,0.00007140606,0.00034522856,0.0012608527,0.00002492127],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036015826,0.0005571793,0.000030904648,0.006417878,0.000026360847,0.00040196546,0.000015569083,0.02355028,0.012134578,0.051336553,0.88677853,0.0187142],"study_design_scores_gemma":[0.00065754796,0.00015173985,0.00038832903,0.017953148,0.00016509595,0.000014675935,0.000008299019,0.6076699,0.0002915182,0.0003786136,0.37099832,0.0013228181],"about_ca_topic_score_codex":0.000112807014,"about_ca_topic_score_gemma":0.000064429034,"teacher_disagreement_score":0.5841196,"about_ca_system_score_codex":0.00042060198,"about_ca_system_score_gemma":0.00030739597,"threshold_uncertainty_score":0.99977934},"labels":[],"label_agreement":null},{"id":"W4408275958","doi":"10.1038/s41593-025-01880-y","title":"Consciousness or pseudo-consciousness? A clash of two paradigms","year":2025,"lang":"en","type":"article","venue":"Nature Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Consciousness; Neuroscience; Psychology; Cognitive science; Neuroscientist; Cognitive psychology; Central nervous system","score_opus":0.01804162647307743,"score_gpt":0.30643800739702937,"score_spread":0.2883963809239519,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408275958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9751735,0.0000630469,0.0014658571,0.0025690258,0.0071265693,0.0006471485,0.000058199268,0.00024330411,0.012653403],"genre_scores_gemma":[0.98465484,0.00008645088,0.00010928231,0.0111527005,0.000051327694,0.000022037857,9.607056e-7,0.000016754093,0.003905651],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9972619,0.00017201998,0.0004129349,0.0010234732,0.000618631,0.0005110366],"domain_scores_gemma":[0.99823314,0.0007067502,0.000219609,0.00061708153,0.000105485975,0.00011792509],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028075607,0.00027151406,0.00034392223,0.00034881048,0.0003715957,0.00013327131,0.0010194592,0.00020470888,0.000024210141],"category_scores_gemma":[0.002534737,0.00020438865,0.00012054141,0.002623824,0.0008697252,0.00037592466,0.00024567748,0.00080537476,0.000012204998],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012447684,0.00012980113,0.0012468097,0.00004477447,0.000001101209,0.00006217763,0.000029770457,0.00020913061,0.91697633,0.0774284,0.0012601494,0.0024870678],"study_design_scores_gemma":[0.0025076147,0.0005127353,0.010408843,0.00020244461,0.00005091266,0.00033063279,0.000038973412,0.0427873,0.88586646,0.017616851,0.03890334,0.00077386555],"about_ca_topic_score_codex":0.000013634575,"about_ca_topic_score_gemma":0.000045682453,"teacher_disagreement_score":0.059811547,"about_ca_system_score_codex":0.000043349635,"about_ca_system_score_gemma":0.00029662123,"threshold_uncertainty_score":0.8334727},"labels":[],"label_agreement":null},{"id":"W4408283582","doi":"10.1016/j.plrev.2025.03.001","title":"Brain paradox – Timescales matter! Comment on “The paradox of the self-studying brain” by S.Battaglia, P. Servajean &amp; K. Friston","year":2025,"lang":"en","type":"review","venue":"Physics of Life Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre","funders":"","keywords":"Cognitive science; Psychology; Neuroscience","score_opus":0.09136760316695323,"score_gpt":0.33050453944319985,"score_spread":0.2391369362762466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408283582","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000056399873,0.9757125,0.00011741284,0.016969152,0.0007919255,0.004549874,0.00040811955,0.000045403598,0.0013492419],"genre_scores_gemma":[0.000055194258,0.977166,0.000047258407,0.020440083,0.00015641582,0.00028856585,0.00005906125,0.000070132126,0.0017172905],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99372506,0.0024734878,0.0018429037,0.0008468557,0.0006895131,0.00042220805],"domain_scores_gemma":[0.9910137,0.004406757,0.0024913326,0.0019300766,0.000056033557,0.000102077785],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012701569,0.0007808827,0.002865586,0.00007602857,0.00031313548,0.00006882521,0.0017678117,0.00016468945,0.000049632366],"category_scores_gemma":[0.0012231186,0.000430803,0.0016005398,0.0010639225,0.00020373931,0.00010728617,0.0005122995,0.00080887985,0.00022885484],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008512387,0.00056732324,0.000023730467,0.03227331,0.00009426176,5.187391e-7,0.00007943218,0.0000055080645,0.00017531116,0.0038826745,0.6605924,0.30229706],"study_design_scores_gemma":[0.000121200916,0.000054179472,0.0000033243457,0.015468699,0.0003394165,0.0000020027535,0.0000032487699,0.000031566473,0.00008905235,0.0005301182,0.9830041,0.00035309364],"about_ca_topic_score_codex":0.000030675616,"about_ca_topic_score_gemma":0.000003718428,"teacher_disagreement_score":0.32241172,"about_ca_system_score_codex":0.000115512536,"about_ca_system_score_gemma":0.00018602876,"threshold_uncertainty_score":0.9998144},"labels":[],"label_agreement":null},{"id":"W4408297406","doi":"10.7554/elife.100830.2","title":"Minimal background noise enhances neural speech tracking: Evidence of stochastic resonance","year":2025,"lang":"en","type":"preprint","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"","keywords":"Stochastic resonance; Noise (video); Speech recognition; Tracking (education); Computer science; Artificial neural network; Background noise; Acoustics; Psychology; Artificial intelligence; Physics","score_opus":0.09175079444333896,"score_gpt":0.33626266705990626,"score_spread":0.24451187261656732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408297406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99116856,0.00115039,0.0018417474,0.0006988894,0.0035121825,0.00058767607,0.0001181776,0.00010656667,0.00081579405],"genre_scores_gemma":[0.9958373,0.00032549104,0.0003362749,0.0007311474,0.00032352554,0.000043049444,0.0000061241412,0.000022485625,0.0023746546],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99689436,0.00020002031,0.0006399803,0.0010828753,0.0007963629,0.0003863981],"domain_scores_gemma":[0.9974302,0.0011210135,0.00047303736,0.00070145295,0.00018037444,0.00009392143],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034439468,0.00037400363,0.0005200052,0.0001820723,0.00012532694,0.00012736069,0.00070742425,0.00022911087,0.00007628431],"category_scores_gemma":[0.0017970786,0.0003571474,0.00023131231,0.0003761041,0.00023365999,0.0002442527,0.00072525674,0.0007802299,0.000027991235],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008252976,0.00030391035,0.00026462166,0.0013796277,0.000020235744,0.00012729164,0.00033616743,0.0074523194,0.957498,0.001849916,0.0016149505,0.028327651],"study_design_scores_gemma":[0.000768086,0.00078681397,0.011882769,0.0050749304,0.00016257762,0.000084165775,0.000092785944,0.15997148,0.8160203,0.0019603048,0.0016776174,0.0015181816],"about_ca_topic_score_codex":0.000068947695,"about_ca_topic_score_gemma":0.00003110264,"teacher_disagreement_score":0.15251915,"about_ca_system_score_codex":0.00007741567,"about_ca_system_score_gemma":0.0002447604,"threshold_uncertainty_score":0.99988806},"labels":[],"label_agreement":null},{"id":"W4408348064","doi":"10.1016/j.neunet.2025.107308","title":"Structural network measures reveal the emergence of heavy-tailed degree distributions in lottery ticket multilayer perceptrons","year":2025,"lang":"en","type":"article","venue":"Neural Networks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Children's Hospital; University of Alberta; University of Calgary","funders":"Alberta Innovates; Canada Research Chairs; Calgary Foundation","keywords":"Degree (music); Ticket; Perceptron; Computer science; Artificial neural network; Lottery; Artificial intelligence; Econometrics; Statistics; Pattern recognition (psychology); Mathematics; Physics; Computer network","score_opus":0.040949137663589215,"score_gpt":0.2753465201585767,"score_spread":0.23439738249498748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408348064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907753,0.00021237318,0.0032894767,0.0022697628,0.0022873005,0.00052504713,0.000033272503,0.00006630627,0.0005411928],"genre_scores_gemma":[0.99823964,0.00006522703,0.00003653833,0.0010336529,0.00023585514,0.00003488091,0.000015015198,0.000014869027,0.0003243123],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978088,0.00037275194,0.0005042891,0.0004684488,0.00026913066,0.0005765861],"domain_scores_gemma":[0.9987731,0.000514101,0.00014288645,0.0004439394,0.00006156706,0.00006440345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025399617,0.0002377481,0.00028300183,0.00006767024,0.00038395022,0.0000535416,0.0004850795,0.00011973274,0.000074224474],"category_scores_gemma":[0.00028769992,0.0001659119,0.00015548927,0.0010245721,0.0002618251,0.00015931943,0.00018488067,0.0005987896,0.0000034852965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007088287,0.00013290142,0.096651584,0.000048024285,0.000031055366,0.000037252612,0.0001767598,0.76241875,0.049283165,0.0071079843,0.03108699,0.05231673],"study_design_scores_gemma":[0.00047160895,0.00008699142,0.20875637,0.00007117189,0.000032776537,0.000015745783,0.000044905835,0.78745925,0.0012426792,0.0011759493,0.00040046664,0.0002420891],"about_ca_topic_score_codex":0.00007799887,"about_ca_topic_score_gemma":0.00048299436,"teacher_disagreement_score":0.11210478,"about_ca_system_score_codex":0.000043342672,"about_ca_system_score_gemma":0.000031384203,"threshold_uncertainty_score":0.6765691},"labels":[],"label_agreement":null},{"id":"W4408355514","doi":"10.21203/rs.3.rs-2432269/v3","title":"Imaging of brain electric field networks with spatially resolved EEG","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Electroencephalography; Neuroscience; Neuroimaging; Field (mathematics); Electric field; Computer science; Psychology; Physics; Mathematics","score_opus":0.036713245152634806,"score_gpt":0.347065461154661,"score_spread":0.3103522160020262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408355514","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7036599,0.0020629596,0.14615019,0.04538232,0.0030144225,0.0099736415,0.00028838599,0.0008012197,0.08866696],"genre_scores_gemma":[0.9963752,0.00029015623,0.000133975,0.0005851245,0.00014019401,0.000091408525,0.000021890606,0.000027805687,0.0023342476],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9963189,0.0007323453,0.00033609307,0.00086940237,0.0010627771,0.0006805038],"domain_scores_gemma":[0.99584675,0.002715219,0.00015064055,0.00078909635,0.00038828686,0.00010999105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001041855,0.00023667044,0.00033747416,0.0006500345,0.00023089147,0.00016382395,0.0007185546,0.00020409789,0.00006347088],"category_scores_gemma":[0.0023865264,0.00019757097,0.00012886617,0.0012667018,0.000097097676,0.00007608285,0.0009671869,0.002178558,0.000004975972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004573051,0.0010351854,0.021886084,0.0063296906,0.0001366009,0.0009855096,0.0006250256,0.105035886,0.5178909,0.024282938,0.050859615,0.26635954],"study_design_scores_gemma":[0.0010696956,0.0015030011,0.0072356537,0.0030483806,0.000030902807,0.000020138994,0.00006131004,0.87003934,0.10539368,0.0063834833,0.00444612,0.000768305],"about_ca_topic_score_codex":0.00051691814,"about_ca_topic_score_gemma":0.00012989347,"teacher_disagreement_score":0.76500344,"about_ca_system_score_codex":0.00012326271,"about_ca_system_score_gemma":0.00052257744,"threshold_uncertainty_score":0.9464871},"labels":[],"label_agreement":null},{"id":"W4408386736","doi":"10.1016/j.neuron.2025.02.006","title":"Interpretable deep learning for deconvolutional analysis of neural signals","year":2025,"lang":"en","type":"article","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada); McGill University; Mila - Quebec Artificial Intelligence Institute","funders":"Army Research Office; National Institute on Deafness and Other Communication Disorders; Engineering and Physical Sciences Research Council; Faculty of Arts and Sciences; Human Frontier Science Program; National Institutes of Health; Brain and Behavior Research Foundation; Canada First Research Excellence Fund; FAS Division of Science, Harvard University; McGill University","keywords":"Computer science; Artificial intelligence; Artificial neural network; Deep learning; Salience (neuroscience); Machine learning; Neural decoding; Pattern recognition (psychology); Decoding methods","score_opus":0.018321388343171426,"score_gpt":0.2777223668780648,"score_spread":0.25940097853489336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408386736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97271997,0.000029822273,0.024178093,0.0003077158,0.00046707026,0.00017820264,0.000012663205,0.000046972134,0.0020594792],"genre_scores_gemma":[0.99712944,0.000009508885,0.00004476602,0.00082806003,0.000015536914,0.000017053644,0.000009845197,0.0000064525107,0.001939354],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991356,0.00007626288,0.00021024694,0.00029659312,0.000116245144,0.00016505641],"domain_scores_gemma":[0.99911076,0.0006043267,0.00009352979,0.00012041626,0.000045359924,0.000025619485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009502919,0.000084535226,0.00019247607,0.00030917427,0.00011064798,0.000027025122,0.00013852632,0.000033656856,0.0000764773],"category_scores_gemma":[0.0005864083,0.00008047306,0.00018328031,0.00078427827,0.00004341473,0.00010178983,0.000049384613,0.00010843454,0.000002081043],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000121302815,0.000051217794,0.0044173286,0.000023145576,0.000048799087,0.0000013199573,0.000024234918,0.09440038,0.8863325,0.004686515,0.00016180243,0.009731415],"study_design_scores_gemma":[0.00018782292,0.00013062543,0.015011283,0.0000059655854,0.0001811712,8.114889e-7,0.0000065840745,0.94953084,0.03245285,0.00055343105,0.0018709804,0.00006764752],"about_ca_topic_score_codex":0.000008918863,"about_ca_topic_score_gemma":0.000012277987,"teacher_disagreement_score":0.85513043,"about_ca_system_score_codex":0.00001901523,"about_ca_system_score_gemma":0.000014527652,"threshold_uncertainty_score":0.3281596},"labels":[],"label_agreement":null},{"id":"W4408419088","doi":"10.1111/ejn.70038","title":"The Possibility Space Concept in Neuroscience: Possibilities, Constraints, and Explanations","year":2025,"lang":"en","type":"review","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; John Templeton Foundation; National Science Foundation","keywords":"Cognitive science; CLARITY; Computer science; Systems neuroscience; Space (punctuation); Impossibility; Cognitive neuroscience; Mainstream; Epistemology; Neuroscience; Data science; Psychology; Cognition; Biology","score_opus":0.06136526229345742,"score_gpt":0.32217219285600346,"score_spread":0.26080693056254606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408419088","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012905366,0.9821983,0.0007060287,0.0015813656,0.007951983,0.0013605824,0.00019183836,0.00006535628,0.0046540024],"genre_scores_gemma":[0.007483777,0.99008495,0.0000306304,0.0007510184,0.00013639113,0.0000043179625,8.2280457e-7,0.000030839885,0.0014772755],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9932336,0.0029842018,0.0015111829,0.0009461574,0.0007514978,0.00057334756],"domain_scores_gemma":[0.9953885,0.0024106803,0.0012600615,0.00059062376,0.00011222174,0.00023789855],"candidate_categories":["metaresearch","metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.002721998,0.00044481698,0.0008693477,0.0004921225,0.0007253497,0.00068369077,0.001791768,0.000059475933,0.000004302415],"category_scores_gemma":[0.010279271,0.00028118462,0.00030607177,0.0017788487,0.0027461846,0.0005266385,0.00044126986,0.0012578014,0.0000035968826],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000241356,0.00014506793,0.000017062766,0.00096776773,0.0000022703412,0.0011335508,0.00022800289,0.00003675196,0.0029127598,0.0067127207,0.0006941772,0.98712575],"study_design_scores_gemma":[0.00048781,0.00057861226,0.0016916714,0.0040653525,0.00008000983,0.0025621727,0.00010316849,0.00035244285,0.00003710271,0.0004917562,0.9890273,0.00052258844],"about_ca_topic_score_codex":0.0000025936095,"about_ca_topic_score_gemma":0.0000027327912,"teacher_disagreement_score":0.9883331,"about_ca_system_score_codex":0.00011338393,"about_ca_system_score_gemma":0.0008026194,"threshold_uncertainty_score":0.99996775},"labels":[],"label_agreement":null},{"id":"W4408420640","doi":"10.7554/elife.103757.2.sa0","title":"Author response: A toolbox for ablating excitatory and inhibitory synapses","year":2025,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Toolbox; Neuroscience; Chemistry; Biology; Computer science; Programming language","score_opus":0.06621996677274325,"score_gpt":0.34586659578573187,"score_spread":0.27964662901298865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408420640","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019185636,0.058712836,0.007169795,0.76641804,0.05496114,0.015920801,0.0055726864,0.0020084223,0.070050664],"genre_scores_gemma":[0.0013416033,0.0006852225,0.0004086372,0.01637905,0.00031530738,0.0002753542,0.000057176945,0.00004259806,0.98049504],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99776196,0.00028733863,0.00045531124,0.0008608495,0.00030706037,0.0003274941],"domain_scores_gemma":[0.9960022,0.0032224823,0.00022364175,0.00034938817,0.00011380914,0.00008848083],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009215038,0.00033305257,0.000505273,0.00021870728,0.0002808714,0.00010821755,0.00021724016,0.0002463322,0.000101923106],"category_scores_gemma":[0.008039868,0.00028199717,0.00017504624,0.00025704436,0.00010876894,0.00012614793,0.00014415212,0.00037782534,0.000009878564],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000124556,0.000017050646,0.000001066848,0.0032625636,0.0000074037353,0.0000091781985,0.000011836193,7.684835e-7,0.019119164,0.0010783701,0.9664536,0.0099144345],"study_design_scores_gemma":[0.00019945904,0.00016469439,0.00002848478,0.002432486,0.000067688765,0.00001783653,0.00001173238,0.00058989675,0.0017564379,0.00046378202,0.993944,0.00032353943],"about_ca_topic_score_codex":0.000012744902,"about_ca_topic_score_gemma":0.000014700976,"teacher_disagreement_score":0.9104444,"about_ca_system_score_codex":0.00007424661,"about_ca_system_score_gemma":0.0002712487,"threshold_uncertainty_score":0.9999632},"labels":[],"label_agreement":null},{"id":"W4408482272","doi":"10.1101/2025.03.14.643170","title":"Distinct Alpha Networks Modulate Different Aspects of Perceptual Decision-Making","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Columbia College","funders":"","keywords":"Alpha (finance); Perception; Psychology; Cognitive psychology; Computer science; Neuroscience; Developmental psychology","score_opus":0.016349001217206307,"score_gpt":0.23926634379334544,"score_spread":0.22291734257613913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408482272","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97256535,0.00017595863,0.02165295,0.00007281871,0.004130862,0.00070844963,0.00028733353,0.000318218,0.0000880512],"genre_scores_gemma":[0.99851763,0.00016870031,0.0005376919,0.00025893678,0.0003571139,0.00006592446,2.7212832e-7,0.000082076825,0.0000116632355],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99619406,0.00022480372,0.0007978373,0.0015219467,0.0006301423,0.00063121214],"domain_scores_gemma":[0.9968626,0.0006915135,0.0006086744,0.0014031461,0.00024646238,0.00018763395],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000301828,0.00068247796,0.00080280117,0.00036413944,0.00025264602,0.0002118472,0.0009130985,0.0004971301,0.000076481396],"category_scores_gemma":[0.0011019289,0.00064044987,0.00032319833,0.0006541929,0.00019948954,0.00013400303,0.0012486808,0.001023351,0.000013932838],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020746407,0.00045451033,0.0041930284,0.0005030358,0.00008991813,0.00014577052,0.000013874348,0.008653382,0.9741499,0.011193664,0.00023214458,0.00016332342],"study_design_scores_gemma":[0.0011321686,0.00025851748,0.4590191,0.004277106,0.00031785938,1.0442665e-7,0.000003505659,0.3388108,0.19280589,0.00033351957,0.00077716453,0.0022642694],"about_ca_topic_score_codex":0.000016128384,"about_ca_topic_score_gemma":0.000005736488,"teacher_disagreement_score":0.781344,"about_ca_system_score_codex":0.0002672864,"about_ca_system_score_gemma":0.00023057101,"threshold_uncertainty_score":0.9996047},"labels":[],"label_agreement":null},{"id":"W4408543788","doi":"10.7554/elife.101780.2.sa2","title":"eLife Assessment: A General Framework for Characterizing Optimal Communication in Brain Networks","year":2025,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Deutsche Forschungsgemeinschaft; Natural Sciences and Engineering Research Council of Canada; Templeton World Charity Foundation; Fondation Brain Canada","keywords":"Computer science","score_opus":0.051587472933170245,"score_gpt":0.3710213835472381,"score_spread":0.3194339106140679,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408543788","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012516779,0.0066767414,0.3757212,0.5796532,0.011536163,0.007328521,0.0008711141,0.00044525042,0.016516114],"genre_scores_gemma":[0.0033910892,0.059036914,0.07043266,0.39839607,0.0018091811,0.0025721164,0.006886474,0.00019975868,0.45727572],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99746585,0.00036314726,0.000669498,0.00074040063,0.00031525167,0.0004458455],"domain_scores_gemma":[0.99681824,0.0018348516,0.00037928956,0.00080557226,0.000095290714,0.00006676793],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007899016,0.0003646625,0.0006444703,0.0001978686,0.00020625058,0.00018365798,0.0007396768,0.00043828797,0.00012589144],"category_scores_gemma":[0.0012741515,0.0003413096,0.0002382625,0.0005347299,0.00005215141,0.0001716754,0.00033333697,0.0012300143,0.0000050479503],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042937616,0.00015800838,0.000021256672,0.0017298489,0.000018521774,0.000006497875,0.000013549213,0.0009264353,0.0023147457,0.08264228,0.88300073,0.029125206],"study_design_scores_gemma":[0.00026497376,0.00006920495,0.00012795666,0.0043215635,0.00003693765,0.0000045123943,0.000002314967,0.19766931,0.00010973711,0.0009805062,0.796018,0.00039496238],"about_ca_topic_score_codex":0.00004383101,"about_ca_topic_score_gemma":0.000052587206,"teacher_disagreement_score":0.4407596,"about_ca_system_score_codex":0.00017057366,"about_ca_system_score_gemma":0.00017099426,"threshold_uncertainty_score":0.9999039},"labels":[],"label_agreement":null},{"id":"W4408544493","doi":"10.7554/elife.101780.2.sa0","title":"Author response: A General Framework for Characterizing Optimal Communication in Brain Networks","year":2025,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Computer science; Cognitive science; Psychology; Neuroscience","score_opus":0.07039097059227714,"score_gpt":0.3721891359076734,"score_spread":0.30179816531539627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408544493","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024122784,0.003902407,0.077963166,0.9040794,0.0060763336,0.003678708,0.000496149,0.00025031375,0.0011412522],"genre_scores_gemma":[0.0011581037,0.0029335637,0.01552534,0.114027,0.00053903484,0.0009890856,0.0010758509,0.000087237015,0.8636648],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969566,0.0008733789,0.0006684072,0.0007691907,0.0002687515,0.0004636681],"domain_scores_gemma":[0.99426377,0.0043183165,0.00034295628,0.0009141169,0.00008877674,0.00007204332],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016723903,0.00036382102,0.00061911397,0.0002644303,0.00022017973,0.00015801458,0.0007721898,0.0005404268,0.00013005201],"category_scores_gemma":[0.00603708,0.00034008527,0.00024181661,0.00066045416,0.00006576376,0.00013820121,0.00032287536,0.0011665188,0.000008603271],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048345936,0.000066266635,0.0000027830768,0.00077718514,0.000007798015,0.000006608191,0.000021244352,0.00031390175,0.004341255,0.016358241,0.9654779,0.0121434005],"study_design_scores_gemma":[0.00021736047,0.00009779042,0.0001111415,0.0041432157,0.00002740318,0.0000072876783,0.0000025873082,0.07364482,0.00024010058,0.0008764422,0.9202729,0.00035896635],"about_ca_topic_score_codex":0.000029106206,"about_ca_topic_score_gemma":0.00003864217,"teacher_disagreement_score":0.86252356,"about_ca_system_score_codex":0.00016162496,"about_ca_system_score_gemma":0.00017388487,"threshold_uncertainty_score":0.9999051},"labels":[],"label_agreement":null},{"id":"W4408544591","doi":"10.7554/elife.101780.2","title":"A General Framework for Characterizing Optimal Communication in Brain Networks","year":2025,"lang":"en","type":"preprint","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Computer science; Cognitive science; Psychology","score_opus":0.04308893158133097,"score_gpt":0.3192346032353739,"score_spread":0.2761456716540429,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408544591","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7875302,0.00023018161,0.19280192,0.01314054,0.0034654192,0.0017749104,0.00018844452,0.00020673776,0.0006616629],"genre_scores_gemma":[0.93844604,0.0007933482,0.03117277,0.025024107,0.00094300794,0.00078312657,0.00039321787,0.00005670721,0.0023876447],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984709,0.00019351834,0.0003524785,0.00053600565,0.00015965568,0.00028741028],"domain_scores_gemma":[0.9982308,0.0008595086,0.00020827234,0.00061690167,0.00003893796,0.000045572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037613412,0.0002068687,0.000273347,0.00013787742,0.0001376841,0.00014675214,0.00043250748,0.00036132045,0.000010224412],"category_scores_gemma":[0.0009852069,0.00022020104,0.00012697463,0.00019071365,0.000042869713,0.00007668167,0.0006990523,0.00099346,0.0000034394789],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010889553,0.0007308812,0.0024421846,0.00095092,0.000067057365,0.000045673325,0.001635688,0.42233852,0.12929218,0.37373033,0.017495284,0.050182335],"study_design_scores_gemma":[0.00034916706,0.000047333167,0.0026292326,0.0006388951,0.000012057928,0.0000032476999,0.000009694217,0.9722598,0.005663322,0.0064304015,0.011569863,0.0003869532],"about_ca_topic_score_codex":0.000026331503,"about_ca_topic_score_gemma":0.000016472128,"teacher_disagreement_score":0.54992133,"about_ca_system_score_codex":0.00009066917,"about_ca_system_score_gemma":0.00007211705,"threshold_uncertainty_score":0.89795375},"labels":[],"label_agreement":null},{"id":"W4408558613","doi":"10.1007/s10994-024-06664-2","title":"Gender disentangled representation learning in neural rankers","year":2025,"lang":"en","type":"article","venue":"Machine Learning","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; Toronto Metropolitan University; University of Waterloo; University of Toronto","funders":"","keywords":"Representation (politics); Artificial neural network; Computer science; Artificial intelligence; Machine learning; Political science","score_opus":0.026069682320608932,"score_gpt":0.2943342839074334,"score_spread":0.26826460158682447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408558613","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.984724,0.00006228025,0.0011554324,0.0012344392,0.0004551016,0.00018685595,7.8176805e-7,0.00020485767,0.011976279],"genre_scores_gemma":[0.9933405,0.000023230637,0.00003239378,0.0006853452,0.000033990513,0.000013040801,0.000015683978,0.000015837968,0.0058399756],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985215,0.0004076129,0.00022311845,0.00041573832,0.00017984565,0.00025217875],"domain_scores_gemma":[0.9994618,0.00029254743,0.00008045591,0.000117537,0.000012884909,0.00003475646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019296342,0.00012812958,0.00014549428,0.00024560245,0.000247266,0.00008316745,0.00011969179,0.000045332887,0.00007835241],"category_scores_gemma":[0.0011096558,0.00012298684,0.00006553223,0.0006995558,0.000034825505,0.00017654969,0.0000909915,0.0005675159,0.000019468807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016455268,0.00005265763,0.4874659,0.000031348725,0.00000572136,0.00006905791,0.00037794324,0.16030852,0.30881134,0.001911716,0.00008548328,0.04071578],"study_design_scores_gemma":[0.00091945607,0.000045152487,0.08362998,0.00001842776,0.000008810972,0.000008847327,0.00013006745,0.9084277,0.0038769562,0.00050256704,0.0022789887,0.00015301385],"about_ca_topic_score_codex":0.00012167528,"about_ca_topic_score_gemma":0.000041839205,"teacher_disagreement_score":0.7481192,"about_ca_system_score_codex":0.0000573778,"about_ca_system_score_gemma":0.000015559903,"threshold_uncertainty_score":0.50152576},"labels":[],"label_agreement":null},{"id":"W4408561881","doi":"10.1162/imag_a_00527","title":"Measuring the neurodevelopmental trajectory of excitatory-inhibitory balance via visual gamma oscillations","year":2025,"lang":"en","type":"article","venue":"Imaging Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Holland Bloorview Kids Rehabilitation Hospital; SickKids Foundation; Mental Health Research Canada; Hospital for Sick Children","funders":"Engineering and Physical Sciences Research Council; Canadian Institutes of Health Research; Simons Foundation","keywords":"Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Neuroscience; Magnetoencephalography; Balance (ability); Neurophysiology; Visual cortex; Electroencephalography; Psychology; Physics; Audiology; Medicine","score_opus":0.022336239920345575,"score_gpt":0.26034114227635735,"score_spread":0.23800490235601177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408561881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98205626,0.000052514344,0.009044831,0.0014764979,0.0038630003,0.00033732064,0.000009331751,0.00016466588,0.0029955893],"genre_scores_gemma":[0.9959514,0.000015333635,0.000055425342,0.003342934,0.00004601349,0.00001628396,4.12623e-7,0.000015102712,0.0005570898],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99785095,0.00019138622,0.00035590105,0.0006722679,0.00054139545,0.00038810243],"domain_scores_gemma":[0.9990096,0.00036827038,0.00015923435,0.00033592936,0.00006226448,0.00006471654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003267253,0.00019205647,0.00015855323,0.00022040507,0.00065067055,0.00011872424,0.0005959114,0.000022743157,0.000005619667],"category_scores_gemma":[0.0007806073,0.00015467667,0.000087711196,0.0011691987,0.0007095029,0.00042839453,0.00020071953,0.0002647703,0.000008333727],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010116,0.000045694203,0.009570077,0.000014741261,4.823794e-7,0.000009821096,0.00006134194,0.00045221107,0.9856368,0.00052099116,0.0002443811,0.0034333933],"study_design_scores_gemma":[0.0004509707,0.00005758732,0.33227083,0.00008284544,0.000014152373,0.00008948148,0.000055165656,0.15307358,0.5074721,0.0007301915,0.005337421,0.00036567746],"about_ca_topic_score_codex":0.0000151887725,"about_ca_topic_score_gemma":0.00000385313,"teacher_disagreement_score":0.47816464,"about_ca_system_score_codex":0.000060023947,"about_ca_system_score_gemma":0.00015441311,"threshold_uncertainty_score":0.63075316},"labels":[],"label_agreement":null},{"id":"W4408598899","doi":"10.1117/1.jbo.30.s2.s23904","title":"Tetherless miniaturized point detector device for monitoring cortical surface hemodynamics in mice","year":2025,"lang":"en","type":"article","venue":"Journal of Biomedical Optics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Children's Hospital; Hotchkiss Brain Institute; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Cumming School of Medicine, University of Calgary; CMC Microsystems","keywords":"Detector; Biomedical engineering; Optics; Materials science; Point (geometry); Medicine; Physics","score_opus":0.02258677560125723,"score_gpt":0.30118863094484466,"score_spread":0.27860185534358745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408598899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98379153,0.000055479286,0.010664823,0.002724933,0.0024789937,0.00018756647,0.000011920176,0.0000134999445,0.000071232025],"genre_scores_gemma":[0.984151,0.00010639195,0.014935666,0.0004345167,0.0002017976,0.0000022958916,8.2194066e-7,0.000015288957,0.0001521939],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982614,0.00010539606,0.0007226734,0.00020573873,0.0003986451,0.0003061341],"domain_scores_gemma":[0.9976742,0.0016615194,0.00025719145,0.00011205115,0.00013424584,0.00016074853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065335404,0.00014198794,0.0003353691,0.00020201322,0.00007927933,0.000058220372,0.00031404346,0.00016416005,0.0000038922694],"category_scores_gemma":[0.0024759907,0.00011343262,0.00014427514,0.0005579063,0.00011053467,0.00012707882,0.00006592634,0.0005378413,0.0000017146908],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003829687,0.00025075485,0.00024682615,0.00007754666,0.000012766881,0.00006747213,0.000049594626,0.00010987463,0.9940174,0.00073045277,0.00005779722,0.0039965515],"study_design_scores_gemma":[0.009480167,0.0018163716,0.006047517,0.001074794,0.0002000247,0.00031802175,0.00058793224,0.49690747,0.47069022,0.0064854193,0.005707729,0.0006843243],"about_ca_topic_score_codex":0.000002578483,"about_ca_topic_score_gemma":0.0000029038665,"teacher_disagreement_score":0.5233272,"about_ca_system_score_codex":0.00016149045,"about_ca_system_score_gemma":0.00016646767,"threshold_uncertainty_score":0.46256483},"labels":[],"label_agreement":null},{"id":"W4408650686","doi":"10.1038/s41467-025-57995-0","title":"Computational memory capacity predicts aging and cognitive decline","year":2025,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Center for Innovative Medicine; HORIZON EUROPE Framework Programme; UK Dementia Research Institute; Vetenskapsrådet; Hjärnfonden; University College London; National Institute for Health and Care Research; Karolinska Institutet; EU Joint Programme – Neurodegenerative Disease Research; Familjen Erling-Perssons Stiftelse; Stiftelsen för Gamla Tjänarinnor; McGill University; European Commission; Alzheimer's Drug Discovery Foundation; Alzheimer's Association","keywords":"Cognition; Working memory; Neuroscience; Healthy aging; Effects of sleep deprivation on cognitive performance; Cohort; Computer science; Aging brain; Cognitive aging; Psychology; Medicine; Gerontology","score_opus":0.031544233862215935,"score_gpt":0.31336516593027836,"score_spread":0.2818209320680624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408650686","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92436606,0.0017431759,0.005001404,0.034094237,0.000611017,0.0005463174,0.00017480817,0.00023315489,0.033229824],"genre_scores_gemma":[0.9919324,0.00012640255,0.0012539999,0.006327873,0.00001619284,0.000016030055,0.00004109344,0.000004744313,0.000281248],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99936384,0.00013455858,0.00012056711,0.00018042732,0.00011137255,0.00008921405],"domain_scores_gemma":[0.99813926,0.001358594,0.00004839484,0.00032562815,0.000096006464,0.00003209955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012389384,0.00007160251,0.00007451442,0.000092699695,0.00044032035,0.000050291696,0.0003080019,0.00009025345,0.0000048654924],"category_scores_gemma":[0.000910485,0.00006917836,0.000023918119,0.0003150408,0.00022349588,0.00011088672,0.0003742562,0.0005844214,0.0000043501327],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000879848,0.00069900684,0.031658385,0.00009477942,0.00007747991,0.0000061997266,0.0008137651,0.0008583476,0.056939643,0.83911765,0.005571936,0.06407483],"study_design_scores_gemma":[0.0025077448,0.000094238916,0.42715937,0.00034393452,0.00016591535,0.00006896852,0.00026387098,0.417063,0.01461974,0.106044084,0.031095887,0.00057324267],"about_ca_topic_score_codex":0.000008175161,"about_ca_topic_score_gemma":0.00007763582,"teacher_disagreement_score":0.7330736,"about_ca_system_score_codex":0.00001837584,"about_ca_system_score_gemma":0.000034744975,"threshold_uncertainty_score":0.33866328},"labels":[],"label_agreement":null},{"id":"W4408655724","doi":"10.7554/elife.100830.3","title":"Enhanced neural speech tracking through noise indicates stochastic resonance in humans","year":2025,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Speech recognition; Background noise; Noise (video); Computer science; Stochastic resonance; Artificial neural network; Active listening; Speech processing; Speech perception; Artificial intelligence; Psychology; Communication; Neuroscience; Telecommunications; Perception","score_opus":0.02951948234838928,"score_gpt":0.2941734944171506,"score_spread":0.2646540120687613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408655724","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99274623,0.000111293644,0.0029531901,0.0009195903,0.0006605444,0.00023524273,0.000006499287,0.00008657167,0.002280857],"genre_scores_gemma":[0.9958041,0.000034256384,0.0000660309,0.0029232514,0.00006310529,0.000022782398,0.000002329163,0.000012093296,0.001072095],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987341,0.000065225744,0.00024448492,0.0004364059,0.00023078446,0.00028896533],"domain_scores_gemma":[0.99945843,0.0002262026,0.00006911256,0.00019634273,0.000022024098,0.000027897282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011276648,0.00013251005,0.00015545065,0.00011346803,0.00013885277,0.00005990759,0.00019325814,0.000057633108,0.00002073186],"category_scores_gemma":[0.0006006534,0.00012519905,0.000045941226,0.00059151097,0.00007821983,0.00023125988,0.00007066732,0.00026382785,0.000033739077],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007852378,0.00011860514,0.0008355795,0.00002456481,0.0000017570486,0.000047372527,0.00048411652,0.0016736713,0.9734871,0.007498644,0.00037816502,0.015371929],"study_design_scores_gemma":[0.0012579228,0.00013593952,0.06355105,0.00022320417,0.00001145527,0.000009365322,0.000092596194,0.02597978,0.9009411,0.0054890257,0.0018756326,0.00043291983],"about_ca_topic_score_codex":0.00003571864,"about_ca_topic_score_gemma":0.00007333401,"teacher_disagreement_score":0.07254597,"about_ca_system_score_codex":0.00005017519,"about_ca_system_score_gemma":0.00003149526,"threshold_uncertainty_score":0.5105469},"labels":[],"label_agreement":null},{"id":"W4408789707","doi":"10.1016/j.clinph.2025.03.028","title":"Burst suppression pattern on Stereo EEG of the isolated cortex after functional disconnection","year":2025,"lang":"en","type":"letter","venue":"Clinical Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Hospital for Sick Children; SickKids Foundation","funders":"","keywords":"Disconnection; Electroencephalography; Neuroscience; Cortex (anatomy); Burst suppression; Psychology; Biology; Chemistry; Philosophy","score_opus":0.0419706462764166,"score_gpt":0.2988772352469337,"score_spread":0.2569065889705171,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408789707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7346125,0.0000064252167,0.0001607266,0.23690587,0.026824983,0.00070701586,0.00036121364,0.000095090356,0.00032616168],"genre_scores_gemma":[0.539871,0.00004570459,6.833095e-7,0.45560896,0.0014252894,0.000030281371,0.000071204595,0.000034593995,0.0029122736],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99532497,0.0016374048,0.0009798063,0.00130323,0.00036132394,0.0003932874],"domain_scores_gemma":[0.99519074,0.0030551583,0.00060630974,0.0010150853,0.0000823068,0.000050400224],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00009326436,0.00041677503,0.000670219,0.00013008171,0.0001733292,0.000030491568,0.00058219314,0.0008961463,0.00022298915],"category_scores_gemma":[0.0010009792,0.00026332578,0.0006374105,0.0003103155,0.000560349,0.00006657048,0.00044475423,0.0032448878,0.00011056809],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024944292,0.0006831529,0.00095934107,0.00030813043,0.00006940761,0.00036888546,0.0000101224105,0.00018525479,0.2541074,0.000079885736,0.72764367,0.01309035],"study_design_scores_gemma":[0.0024385469,0.006018069,0.53679144,0.00082309515,0.00031192496,0.000070305585,0.0000038288404,0.009367323,0.0034696031,0.0028817744,0.43658823,0.0012358796],"about_ca_topic_score_codex":0.000010326514,"about_ca_topic_score_gemma":0.0000021064525,"teacher_disagreement_score":0.53583205,"about_ca_system_score_codex":0.000027875278,"about_ca_system_score_gemma":0.00007165997,"threshold_uncertainty_score":0.9999819},"labels":[],"label_agreement":null},{"id":"W4408838092","doi":"10.1101/2025.03.22.644729","title":"Comprehensive profiling of anaesthetised brain dynamics across phylogeny","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; McGill University; Montreal Neurological Institute and Hospital; Hospital for Sick Children; Université Laval","funders":"Wellcome Trust","keywords":"Neuroscience; Biology; Macaque; Connectome; Wakefulness; Biological neural network; Thalamus; Neuroimaging; Psychology; Electroencephalography; Functional connectivity","score_opus":0.023106840479952963,"score_gpt":0.2594678183617625,"score_spread":0.23636097788180957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408838092","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99131316,0.000153823,0.0023322457,0.00040724193,0.0021277955,0.0011208114,0.0021755411,0.00034157842,0.00002779907],"genre_scores_gemma":[0.99685585,0.00015448945,0.0017080769,0.0009240618,0.00013468027,0.00010850349,0.0000011671518,0.00008508583,0.000028073297],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99627507,0.00029873286,0.00076354557,0.001453258,0.0005131237,0.0006962498],"domain_scores_gemma":[0.996852,0.00032828885,0.0007214719,0.0014128356,0.00050763297,0.000177788],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003560314,0.0006337152,0.00079076446,0.00027720327,0.00026666655,0.0001750268,0.0009265954,0.0005563158,0.000007981426],"category_scores_gemma":[0.00061515777,0.00068350567,0.00029601756,0.00092108996,0.0003280991,0.00013333473,0.0010221021,0.00097627967,0.000015708196],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006140692,0.00013953564,0.0019366207,0.00073949684,0.000035098015,0.00004723111,0.000008416791,0.0007175229,0.9899413,0.0063084112,0.000048920414,0.0000160661],"study_design_scores_gemma":[0.000702457,0.00012207305,0.021245522,0.00046426684,0.000053540167,4.1026382e-8,0.0000070237065,0.03383432,0.9414473,0.000026931451,0.0012380066,0.0008585039],"about_ca_topic_score_codex":0.000057478504,"about_ca_topic_score_gemma":0.000004089825,"teacher_disagreement_score":0.048493963,"about_ca_system_score_codex":0.000300247,"about_ca_system_score_gemma":0.00047500498,"threshold_uncertainty_score":0.9995616},"labels":[],"label_agreement":null},{"id":"W4408928091","doi":"10.7554/elife.105013.2.sa3","title":"eLife Assessment: Non-allometric expansion and enhanced compartmentalization of Purkinje cell dendrites in the human cerebellum","year":2025,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Institute of Neurological Disorders and Stroke; National Institutes of Health; University of Chicago","keywords":"Compartmentalization (fire protection); Cerebellum; Allometry; Purkinje cell; Biology; Neuroscience; Ecology; Biochemistry","score_opus":0.03429406464185019,"score_gpt":0.3351295271715215,"score_spread":0.3008354625296713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408928091","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49155772,0.019470287,0.010190178,0.024444459,0.011567992,0.01669203,0.0011358339,0.0003082885,0.42463323],"genre_scores_gemma":[0.9245373,0.013341735,0.0000964658,0.005243573,0.00006439493,0.000087418375,0.00062210404,0.00002383332,0.05598316],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99769014,0.00028441128,0.00059540133,0.0005824253,0.0006297341,0.0002178983],"domain_scores_gemma":[0.9986807,0.00045487052,0.00037091295,0.00038003805,0.000078632074,0.000034814864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041952997,0.00028017582,0.0005147177,0.00052983954,0.00014895902,0.00007465783,0.00038971746,0.00013158341,0.00013020883],"category_scores_gemma":[0.00012517584,0.00019663144,0.00010035779,0.0015054794,0.00007477155,0.00011219551,0.0001680608,0.00032779053,0.0000039871516],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011063699,0.0010291452,0.00083833083,0.0095223375,0.00001572629,0.000013528298,0.00014361138,0.00006220588,0.62092024,0.0029619618,0.3580725,0.0064093634],"study_design_scores_gemma":[0.0055509256,0.0021721574,0.024295283,0.015595311,0.0008372423,0.00003561345,0.00049790577,0.017031262,0.5571471,0.0018173064,0.3720166,0.0030032613],"about_ca_topic_score_codex":0.000117387826,"about_ca_topic_score_gemma":0.00012244895,"teacher_disagreement_score":0.4329796,"about_ca_system_score_codex":0.00006437967,"about_ca_system_score_gemma":0.000066920904,"threshold_uncertainty_score":0.80183977},"labels":[],"label_agreement":null},{"id":"W4408959809","doi":"10.1016/b978-0-443-29068-8.00119-7","title":"Evolution of the nervous system in relation to behavior","year":2025,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Relation (database); Nervous system; Neuroscience; Computer science; Biology; Data mining","score_opus":0.016533872397490726,"score_gpt":0.23047374600973036,"score_spread":0.21393987361223965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408959809","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010613113,0.000039009254,0.000013201641,0.0000562168,0.0013907033,0.0012032432,0.000040036408,0.000039589937,0.98660487],"genre_scores_gemma":[0.29275182,0.000002159966,0.000011548617,0.00010856779,0.000044937515,0.00004352235,0.0000015203655,0.000017827877,0.70701814],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99874973,0.00005686895,0.0003939174,0.0003675031,0.0002943684,0.00013763552],"domain_scores_gemma":[0.9992067,0.00007073048,0.00021987809,0.00042732953,0.000043434477,0.000031909847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013836297,0.00018163693,0.00023932954,0.0002098902,0.000078910416,0.000016093252,0.000251747,0.00018903789,0.000007600906],"category_scores_gemma":[0.00006696713,0.00014015376,0.00013744105,0.000058266865,0.000048553786,0.00002881022,0.00013918118,0.00030924348,0.000024475226],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000295439,0.000012512585,0.00011793335,0.00018583752,0.0000033449653,0.000014085228,0.000067420864,0.000075199016,0.021487577,0.18695152,0.000056974895,0.79099804],"study_design_scores_gemma":[0.001381417,0.0005138611,0.038657665,0.010828999,0.0005638825,0.0001289445,0.00005421354,0.003598496,0.00990389,0.018926064,0.9136004,0.0018422032],"about_ca_topic_score_codex":0.0000039984034,"about_ca_topic_score_gemma":0.00005431698,"teacher_disagreement_score":0.9135434,"about_ca_system_score_codex":0.0003919868,"about_ca_system_score_gemma":0.00008772049,"threshold_uncertainty_score":0.57153046},"labels":[],"label_agreement":null},{"id":"W4408987257","doi":"10.1101/2025.03.27.645661","title":"On variability in local field potentials","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Local field potential; Logarithm; Electroencephalography; Fano factor; Statistics; Standard deviation; Stimulation; Electrophysiology; Mathematics; Pattern recognition (psychology); Neuroscience; Computer science; Artificial intelligence; Psychology; Mathematical analysis","score_opus":0.014872299015257398,"score_gpt":0.23270578444825388,"score_spread":0.21783348543299647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408987257","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97087735,0.00002789931,0.021536725,0.0011246237,0.004566876,0.0010246844,0.00025460953,0.000368472,0.00021873227],"genre_scores_gemma":[0.9969356,0.00005375123,0.00022271354,0.0024801511,0.0001366593,0.00011275835,1.0101742e-7,0.00003414962,0.000024084668],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99668705,0.0005124287,0.000529586,0.0014161555,0.00037849828,0.00047629466],"domain_scores_gemma":[0.9974404,0.00089032756,0.00021955415,0.0012095392,0.00010702518,0.00013316084],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009303459,0.0004296179,0.0004741954,0.00033552432,0.00011811013,0.00015629508,0.00059962086,0.0005507732,0.00008425813],"category_scores_gemma":[0.0027829213,0.00044373295,0.00015678747,0.00062194956,0.00009794402,0.00009958342,0.0005519522,0.00116687,0.000053213353],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019497858,0.0004197466,0.0010721358,0.00037312912,0.000016105007,0.0001231094,0.0000031021787,0.001723839,0.9684027,0.027125662,0.0005112602,0.00003424406],"study_design_scores_gemma":[0.0005507987,0.00016192722,0.018789588,0.0005598748,0.000037580103,1.036224e-8,5.610277e-7,0.0155725,0.9618505,0.00037786405,0.0012939038,0.00080485374],"about_ca_topic_score_codex":0.00007352482,"about_ca_topic_score_gemma":0.000004922592,"teacher_disagreement_score":0.026747799,"about_ca_system_score_codex":0.00030386233,"about_ca_system_score_gemma":0.00034517754,"threshold_uncertainty_score":0.99980146},"labels":[],"label_agreement":null},{"id":"W4409021067","doi":"10.1371/journal.pone.0320648","title":"Gradients in signal complexity of sleep-wake intracerebral EEG","year":2025,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke","keywords":"Electroencephalography; Neuroscience; Eye movement; Wakefulness; Temporal lobe; Frontal lobe; Cortex (anatomy); Cerebral cortex; Psychology; Anatomy; Biology; Epilepsy","score_opus":0.078788523235958,"score_gpt":0.2509907863947187,"score_spread":0.17220226315876072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409021067","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99538666,0.00000639656,0.000079750745,0.00063292746,0.000097303004,0.00017887897,0.000018379138,0.000026684344,0.003573046],"genre_scores_gemma":[0.9988658,0.000006859751,0.00020554227,0.00043448352,0.000012241559,0.000007453647,0.0000033930796,0.0000048571833,0.00045938828],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991704,0.00006140587,0.00019274892,0.00021911788,0.000195911,0.00016041606],"domain_scores_gemma":[0.99966997,0.00008965126,0.000053818687,0.00013491945,0.000023455717,0.000028163848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000078198966,0.00007284233,0.00016044511,0.00012285501,0.000042891515,0.0000133365775,0.00013982368,0.000034060515,0.000077864555],"category_scores_gemma":[0.00015149356,0.00007068848,0.000030153635,0.0003753029,0.00012570427,0.00008093632,0.00006585711,0.00014048567,0.000014164077],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060032882,0.001472501,0.017651988,0.00007646933,0.000009873539,0.000005452673,0.00004079123,0.000024812949,0.9524416,0.026991852,0.000042989253,0.0011816553],"study_design_scores_gemma":[0.00094857597,0.00020699497,0.13531365,0.00019824796,0.000027853344,0.0000011674898,0.000015168559,0.067812756,0.76863503,0.026638992,0.00003965972,0.00016191126],"about_ca_topic_score_codex":0.000040228384,"about_ca_topic_score_gemma":0.00007273298,"teacher_disagreement_score":0.18380655,"about_ca_system_score_codex":0.000032651184,"about_ca_system_score_gemma":0.00001419815,"threshold_uncertainty_score":0.28825927},"labels":[],"label_agreement":null},{"id":"W4409133088","doi":"10.32388/jsrqkj","title":"Predictive Coding Explains Asymmetric Connectivity in the Brain: A Neural Network Study","year":2025,"lang":"en","type":"preprint","venue":"Qeios","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Predictive coding; Functional connectivity; Artificial neural network; Computer science; Coding (social sciences); Neuroscience; Artificial intelligence; Psychology; Mathematics; Statistics","score_opus":0.04802594113506869,"score_gpt":0.29608583870228045,"score_spread":0.24805989756721175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409133088","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9806041,0.000047158777,0.0009896866,0.0032613995,0.0035486175,0.0034362695,0.00011031789,0.00016402313,0.007838409],"genre_scores_gemma":[0.99487966,0.000022268485,0.000008465913,0.003947197,0.00035335374,0.0003911004,0.00001016048,0.000017324308,0.0003704875],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996167,0.0014190257,0.00038516236,0.0010390463,0.0005170871,0.00047269827],"domain_scores_gemma":[0.99540746,0.0035678477,0.00022848394,0.0007035388,0.000042356343,0.000050289058],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010725211,0.00035301902,0.0004159634,0.00033812327,0.0003217923,0.00022629644,0.00082790304,0.00017974524,0.000008946435],"category_scores_gemma":[0.0022709982,0.00026713358,0.00015816731,0.001530221,0.00007117304,0.00014121104,0.00092162733,0.0015583906,0.000007596786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022084534,0.009077169,0.23040733,0.0009658627,0.00032262306,0.0025307967,0.025721744,0.56192553,0.00422244,0.05029759,0.04383927,0.068481214],"study_design_scores_gemma":[0.0025706782,0.001613963,0.2778571,0.0003780977,0.00015519994,0.00005232346,0.0020337608,0.7006815,0.0004474604,0.0112623125,0.0017551035,0.0011925187],"about_ca_topic_score_codex":0.00015178134,"about_ca_topic_score_gemma":0.0003299647,"teacher_disagreement_score":0.13875598,"about_ca_system_score_codex":0.00015652612,"about_ca_system_score_gemma":0.00009495729,"threshold_uncertainty_score":0.99997807},"labels":[],"label_agreement":null},{"id":"W4409254112","doi":"10.1016/j.physbeh.2025.114911","title":"Tactile stimulation and its impact on barrel cortex neuron receptive fields in whisker-deprived male rats","year":2025,"lang":"en","type":"article","venue":"Physiology & Behavior","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Kerman Neuroscience Research Center, Kerman University of Medical Sciences; Iran National Science Foundation","keywords":"Neuroscience; Receptive field; Somatosensory system; Stimulation; Barrel cortex; Sensory stimulation therapy; Neuron; Psychology; Sensory deprivation; Whisker; Barrel (horology); Sensory system; Chemistry; Materials science","score_opus":0.024428346640111922,"score_gpt":0.319603546348708,"score_spread":0.2951751997085961,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409254112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984787,0.000012827432,0.000007693692,0.00017800243,0.00053499365,0.00040941843,0.000022663386,0.00003733446,0.00031838287],"genre_scores_gemma":[0.9984661,0.00006239439,0.0000041872604,0.0006605211,0.000027333925,0.00005822873,0.000014378229,0.000010133747,0.0006967285],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989035,0.00015008543,0.00016665172,0.00048413666,0.000075616575,0.00021997717],"domain_scores_gemma":[0.99939275,0.0002998981,0.00006873041,0.00017074472,0.00002506691,0.000042808537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000045290224,0.00015740635,0.00018870491,0.00013384584,0.000103715276,0.000018501487,0.000098506425,0.000115432085,0.00013036851],"category_scores_gemma":[0.00014640967,0.00013465116,0.00005158189,0.00022058775,0.000049388058,0.00013674037,0.00006489823,0.00027692426,0.00003084691],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002401726,0.00014909173,0.0077764634,0.0000041684775,0.0000015665998,0.000011853951,0.00003956311,0.00051459053,0.9872104,0.00017833427,0.00013990133,0.0037338855],"study_design_scores_gemma":[0.00042155045,0.00039458275,0.9465895,0.00001806054,0.000015213899,0.000004284336,0.000008583437,0.006944527,0.045251075,0.00019428619,0.000045217614,0.00011311537],"about_ca_topic_score_codex":0.000039536462,"about_ca_topic_score_gemma":0.000029748575,"teacher_disagreement_score":0.9419593,"about_ca_system_score_codex":0.00005195753,"about_ca_system_score_gemma":0.00003078402,"threshold_uncertainty_score":0.5490915},"labels":[],"label_agreement":null},{"id":"W4409277108","doi":"10.1101/2025.04.07.647497","title":"Optimizing Biophysical Large-Scale Brain Circuit Models With Deep Neural Networks","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Douglas College","funders":"McDonnell Center for Systems Neuroscience; National Institutes of Health; National Medical Research Council; Medical Research Council; University of Pennsylvania","keywords":"Computer science; Speedup; Scalability; Population; Artificial intelligence; Field (mathematics); Machine learning; Mathematics","score_opus":0.017873872174951067,"score_gpt":0.21515909474307418,"score_spread":0.19728522256812311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409277108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58830434,0.00022579334,0.40414205,0.0009618003,0.0030387803,0.0015573214,0.0004154478,0.0012319648,0.00012251867],"genre_scores_gemma":[0.99449635,0.000069126305,0.002028271,0.0024661121,0.0005559519,0.00020437679,8.3306173e-7,0.00014178177,0.000037175458],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9953716,0.0002891602,0.0005671689,0.0020659778,0.000606435,0.0010997059],"domain_scores_gemma":[0.99720293,0.00029072314,0.0004194406,0.0014920611,0.00024917471,0.0003456936],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00036738336,0.0008388875,0.00076589256,0.00032276573,0.0004579304,0.0005215015,0.00096255686,0.0005799661,0.000021368265],"category_scores_gemma":[0.00016135453,0.0008032592,0.00026718294,0.0010908197,0.00020088391,0.00041917007,0.0008931987,0.0016775278,0.000014055047],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014246747,0.00038014603,0.00025299104,0.0003020486,0.00006807798,0.00019340428,0.000029879418,0.34596905,0.64155287,0.010901632,0.0001946258,0.000012832012],"study_design_scores_gemma":[0.0006355522,0.00009959201,0.00072190515,0.00023668383,0.00009055672,7.457846e-8,0.000002663723,0.9559785,0.0409419,0.000024807567,0.00033035636,0.0009373667],"about_ca_topic_score_codex":0.000020273537,"about_ca_topic_score_gemma":0.0000071039703,"teacher_disagreement_score":0.6100095,"about_ca_system_score_codex":0.00024299431,"about_ca_system_score_gemma":0.00023270179,"threshold_uncertainty_score":0.9994418},"labels":[],"label_agreement":null},{"id":"W4409283533","doi":"10.1038/s41586-025-08790-w","title":"Functional connectomics spanning multiple areas of mouse visual cortex","year":2025,"lang":"en","type":"article","venue":"Nature","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":156,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"National Institute of Neurological Disorders and Stroke; National Eye Institute; National Institute of Mental Health","keywords":"Connectomics; Neuroscience; Visual cortex; Calcium imaging; Computer science; Connectome; Cell type; Visual space; Biology; Functional connectivity; Cell; Chemistry","score_opus":0.013626012591367722,"score_gpt":0.26839791448378597,"score_spread":0.2547719018924183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409283533","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99603784,0.000048677142,0.0005856526,0.00046493916,0.0011547767,0.000115375515,0.000029810435,0.00005826182,0.0015046727],"genre_scores_gemma":[0.9937979,0.000009882361,0.00004027941,0.0024633398,0.000055298264,0.0000037251414,0.000017199098,0.000008184795,0.0036042123],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992559,0.000030757612,0.00013681316,0.0002618448,0.00018316337,0.00013154298],"domain_scores_gemma":[0.99940276,0.00031072638,0.0000694563,0.00012289199,0.000065520275,0.00002866147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006283684,0.00009242288,0.0001168053,0.000104966304,0.000093767594,0.000021110296,0.000103914026,0.00036347978,0.00004127965],"category_scores_gemma":[0.000800364,0.00008239036,0.00006328983,0.00031068714,0.00005111321,0.00008186298,0.000054301247,0.0008260421,0.000009439908],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001371009,0.000072284325,0.0056647174,0.00002038038,0.000006241676,0.0000044080375,0.000010477855,0.00026835725,0.9758917,0.013600165,0.0032486862,0.0010754925],"study_design_scores_gemma":[0.0012896106,0.000106436826,0.09008148,0.00004751944,0.000021260656,0.000014184586,0.000042283653,0.069821455,0.8279063,0.0014274223,0.009024019,0.00021800681],"about_ca_topic_score_codex":0.0000071950953,"about_ca_topic_score_gemma":0.000011007627,"teacher_disagreement_score":0.14798537,"about_ca_system_score_codex":0.000029217015,"about_ca_system_score_gemma":0.000042972966,"threshold_uncertainty_score":0.35887876},"labels":[],"label_agreement":null},{"id":"W4409305445","doi":"10.1093/pnasnexus/pgaf101","title":"Collective decision making by embodied neural agents","year":2025,"lang":"en","type":"article","venue":"PNAS Nexus","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute; Centre Hospitalier Universitaire Sainte-Justine","funders":"Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada; Institut de Valorisation des Données; Fonds De La Recherche Scientifique - FNRS; Alliance de recherche numérique du Canada; Mitacs; Canadian Institute for Advanced Research","keywords":"Embodied cognition; Computer science; Embodied agent; Collective behavior; Artificial neural network; Multi-agent system; Artificial intelligence; Simple (philosophy); Stimulus (psychology); Cognitive science; Psychology; Cognitive psychology; Sociology","score_opus":0.02778522997145312,"score_gpt":0.3031819101575828,"score_spread":0.27539668018612967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409305445","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85454196,0.000069385904,0.0052754087,0.00083327224,0.0033147838,0.00047952365,0.00003470091,0.00018840622,0.13526256],"genre_scores_gemma":[0.98479784,0.0000060558814,0.000059222904,0.003951545,0.000031856485,0.00001702183,0.000002506414,0.000011164895,0.011122804],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99890757,0.000072328694,0.00016813529,0.00040530635,0.00020371152,0.00024297983],"domain_scores_gemma":[0.99926364,0.00042299292,0.00005743365,0.00018897896,0.00002796793,0.000038960647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000071536946,0.00012547072,0.00012735653,0.000107938875,0.0002892168,0.00010617309,0.00019679831,0.0000529969,0.000064045205],"category_scores_gemma":[0.00060059654,0.00011282146,0.000059366575,0.0005556194,0.0000423168,0.00012825381,0.0001140716,0.00014759804,0.000050602],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008943898,0.0004191978,0.002498822,0.000046533572,0.000027594002,0.00014032175,0.00060667505,0.0016465004,0.5576222,0.018079054,0.19332637,0.22469233],"study_design_scores_gemma":[0.0035290474,0.00057505374,0.020654665,0.00027551263,0.00007746688,0.000058995713,0.00013755486,0.6167505,0.107558794,0.172999,0.07631928,0.0010641528],"about_ca_topic_score_codex":0.000008443975,"about_ca_topic_score_gemma":0.000007756614,"teacher_disagreement_score":0.61510396,"about_ca_system_score_codex":0.0001460337,"about_ca_system_score_gemma":0.000051264255,"threshold_uncertainty_score":0.46007255},"labels":[],"label_agreement":null},{"id":"W4409318831","doi":"10.1038/s41540-025-00499-w","title":"A mechanism for the emergence of low-dimensional structures in brain dynamics","year":2025,"lang":"en","type":"article","venue":"npj Systems Biology and Applications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Horizon 2020 Framework Programme","keywords":"Mechanism (biology); Dynamics (music); Neuroscience; Cognitive science; Economic geography; Psychology; Physics; Geography","score_opus":0.014654992417047452,"score_gpt":0.28886948621338926,"score_spread":0.27421449379634183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409318831","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5237063,0.00066888484,0.45553344,0.011714544,0.001828324,0.004704038,0.00054310594,0.00007206233,0.0012293025],"genre_scores_gemma":[0.9986584,0.000024685518,0.000046002275,0.00044250424,0.000022610122,0.00043904473,0.00001084469,0.0000025752558,0.00035330697],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994751,0.000044278506,0.00017075648,0.00019460684,0.000027688495,0.00008755285],"domain_scores_gemma":[0.999137,0.0006229892,0.00006466325,0.00013298272,0.000031408195,0.000010998263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000117867516,0.000056314642,0.00009201955,0.00005174834,0.00014518021,0.000006405936,0.00011239479,0.00006568084,0.0000023573366],"category_scores_gemma":[0.00009334271,0.000037619477,0.000021886426,0.00018672038,0.00009547242,0.000015450249,0.000032432337,0.00005986306,5.496806e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007359563,0.000010479518,0.00018387043,0.000027903005,0.0000024628318,3.1026737e-8,0.000005959258,0.00013766269,0.14758067,0.8508609,0.00011947313,0.0010632174],"study_design_scores_gemma":[0.0005878054,0.00009379013,0.0038524927,0.000048971793,0.000020032005,0.000013466659,0.00024349712,0.3962953,0.016074399,0.57825273,0.0043410724,0.00017642287],"about_ca_topic_score_codex":0.00004898588,"about_ca_topic_score_gemma":0.00007288306,"teacher_disagreement_score":0.47495213,"about_ca_system_score_codex":0.0000073967585,"about_ca_system_score_gemma":0.00001868952,"threshold_uncertainty_score":0.15340777},"labels":[],"label_agreement":null},{"id":"W4409324512","doi":"10.1371/journal.pcbi.1012926","title":"A comprehensive investigation of intracortical and corticothalamic models of the alpha rhythm","year":2025,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"Canadian Institutes of Health Research; Krembil Foundation","keywords":"Neuroscience; Sigmoid function; Computer science; Artificial intelligence; Statistical physics; Psychology; Artificial neural network; Cognitive science; Physics","score_opus":0.037736355326502984,"score_gpt":0.2623717127607283,"score_spread":0.2246353574342253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409324512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99339515,0.00002110761,0.0052012284,0.00093497295,0.00014422563,0.00014752864,0.000021280473,0.000009669168,0.00012482362],"genre_scores_gemma":[0.9987657,0.000007925204,0.0003951951,0.00079551345,0.0000074338845,0.00000465254,0.000006453079,0.0000024661745,0.000014637311],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936366,0.00011106338,0.00022046678,0.00016009806,0.00007545264,0.00006925517],"domain_scores_gemma":[0.99906635,0.0006583377,0.0001025974,0.00006946774,0.00008830036,0.000014921058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000025177504,0.00005677724,0.00012201077,0.000056547025,0.000045306522,0.000003901563,0.00006842938,0.000036477762,0.0000025173988],"category_scores_gemma":[0.00013087946,0.000040764364,0.00002706094,0.00018667197,0.00040917206,0.000038892264,0.000072621624,0.000069357855,5.339619e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025429566,0.000031688633,0.004541778,0.00004019544,0.000011397602,3.395504e-7,0.00004383968,0.0098144235,0.686815,0.29769424,0.000014941134,0.00096672913],"study_design_scores_gemma":[0.00019874108,0.00006173439,0.07594543,0.000023051602,0.000012343816,0.0000093681365,0.0000056754957,0.54503196,0.05186866,0.3267993,0.0000065323225,0.00003721909],"about_ca_topic_score_codex":0.0000058213095,"about_ca_topic_score_gemma":9.0280724e-7,"teacher_disagreement_score":0.63494635,"about_ca_system_score_codex":0.000008810035,"about_ca_system_score_gemma":0.000044533717,"threshold_uncertainty_score":0.16623226},"labels":[],"label_agreement":null},{"id":"W4409351468","doi":"10.1162/imag_a_00557","title":"Lesion-network mapping in task-dependent frequencies uncovers remote consequences of focal damage","year":2025,"lang":"en","type":"article","venue":"Imaging Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Eye Institute; Chuck Noll Foundation for Brain Injury Research; Research to Prevent Blindness; Eye and Ear Foundation of Pittsburgh; National Institutes of Health; National Science Foundation","keywords":"Lesion; Task (project management); Computer science; Remote sensing; Geology; Medicine; Pathology; Engineering; Systems engineering","score_opus":0.03357543780436496,"score_gpt":0.2813852314436242,"score_spread":0.24780979363925926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409351468","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9792556,0.000063462845,0.009941729,0.0029171833,0.0024529546,0.00029846927,0.000015746398,0.00010443676,0.0049504163],"genre_scores_gemma":[0.9954127,0.000077115634,0.00035428765,0.0036184376,0.000023222661,0.0000037595191,4.5144174e-7,0.000009505526,0.0005004869],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976157,0.00021274415,0.00043066102,0.00077173975,0.00046490337,0.000504228],"domain_scores_gemma":[0.99888796,0.00045748026,0.00018408019,0.00036373272,0.0000438095,0.00006292207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054521236,0.00018898484,0.00023087458,0.00032169913,0.00026071316,0.00013075152,0.0006478785,0.00003534016,0.0000055600926],"category_scores_gemma":[0.0015119619,0.00017689727,0.000066768334,0.0017332569,0.0010116127,0.00048116862,0.0002438017,0.00028729325,0.000004556125],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001090669,0.000024170478,0.02050311,0.000024284103,3.1863965e-7,0.00010536767,0.00004948718,0.0046082465,0.9673649,0.003950103,0.00014784258,0.003211231],"study_design_scores_gemma":[0.001111889,0.00013355665,0.12857096,0.000856339,0.000016037218,0.000149615,0.00033723502,0.23047234,0.58660644,0.047494594,0.003465396,0.0007856129],"about_ca_topic_score_codex":0.0002848351,"about_ca_topic_score_gemma":0.000031048825,"teacher_disagreement_score":0.38075852,"about_ca_system_score_codex":0.00008937729,"about_ca_system_score_gemma":0.00019698832,"threshold_uncertainty_score":0.72136617},"labels":[],"label_agreement":null},{"id":"W4409452257","doi":"10.1016/j.neubiorev.2025.106165","title":"Large-scale functional networks underlying visual attention","year":2025,"lang":"en","type":"review","venue":"Neuroscience & Biobehavioral Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Children's Hospital; University of British Columbia; University of British Columbia Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Psychology; Neuroscience; Cognitive psychology; Functional connectivity; Visual attention; Scale (ratio); Cognition; Cartography; Geography","score_opus":0.19662638155112974,"score_gpt":0.4145735037417354,"score_spread":0.21794712219060566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409452257","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000077521574,0.98212063,0.007068967,0.000009200935,0.00736534,0.0026852756,0.00008828725,0.00024825303,0.0003365089],"genre_scores_gemma":[0.0001366416,0.9940455,0.000039738778,0.0017760758,0.00025228778,0.0004801515,0.00011401757,0.0000721245,0.0030834945],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99341506,0.0007421373,0.0015850755,0.002287453,0.0008477437,0.0011225225],"domain_scores_gemma":[0.99770314,0.00003594621,0.0010509689,0.0008465833,0.00006583228,0.00029750768],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00096002524,0.00100655,0.0020966853,0.00055083836,0.0009697803,0.00051520584,0.0009843445,0.0004793516,0.00014900095],"category_scores_gemma":[0.0006524191,0.0007851633,0.0014677608,0.0029196688,0.00030867936,0.000613536,0.0005460174,0.0012563168,0.00025298935],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000044633393,0.00023457174,0.000011521159,0.0019828358,8.216047e-8,0.000022727992,0.0000033522606,0.000006613065,0.001095902,0.00020216194,0.0018633988,0.99457234],"study_design_scores_gemma":[0.00014162384,0.00016411513,0.00005565408,0.0052134134,0.00036340402,0.00009622431,0.0000048723955,0.0013094012,0.0000019561332,0.000018967952,0.9919699,0.0006604862],"about_ca_topic_score_codex":0.0000046759696,"about_ca_topic_score_gemma":0.000011646612,"teacher_disagreement_score":0.99391186,"about_ca_system_score_codex":0.00025651022,"about_ca_system_score_gemma":0.0003136676,"threshold_uncertainty_score":0.9994599},"labels":[],"label_agreement":null},{"id":"W4409458225","doi":"10.1113/jp288804","title":"Directional sensitivity of C‐low‐threshold mechanoreceptors: insights from <i>in vivo</i> calcium imaging","year":2025,"lang":"en","type":"article","venue":"The Journal of Physiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Calcium; In vivo; Calcium imaging; Sensitivity (control systems); Chemistry; Biophysics; Mechanoreceptor; Electrophysiology; Neuroscience; Anatomy; Biology; Stimulation","score_opus":0.013485151767512736,"score_gpt":0.24844519808679968,"score_spread":0.23496004631928694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409458225","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967964,0.00005074943,0.0006720156,0.0006620159,0.0013190792,0.000059383394,0.000009908554,0.0000058920295,0.00042454153],"genre_scores_gemma":[0.99880654,0.000044042783,0.000018287761,0.0009151619,0.0001419596,6.533249e-7,5.176716e-7,0.0000048043544,0.00006804899],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988904,0.00043915625,0.00029613884,0.00012185488,0.00013328005,0.00011918672],"domain_scores_gemma":[0.99862754,0.0009138514,0.00025021116,0.00012067838,0.00006599018,0.000021706448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002611772,0.00008852213,0.00022864238,0.00013305884,0.000066537395,0.000005692251,0.00014892995,0.00003574057,0.00003213916],"category_scores_gemma":[0.00017162946,0.000056272875,0.000083649174,0.0002512653,0.00012631624,0.00011388653,0.00006973133,0.00025811748,0.0000019198953],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021541209,0.00007080169,0.00013628729,0.000006395385,0.000007447382,0.000005375361,0.00007033043,0.001041471,0.9964536,0.0013716789,0.00036861777,0.00025259858],"study_design_scores_gemma":[0.00031392908,0.000048368627,0.0061622597,0.00005442631,0.000013206996,0.000017374074,0.000042285716,0.009195251,0.9618279,0.022051627,0.00022111557,0.000052254087],"about_ca_topic_score_codex":0.00010757991,"about_ca_topic_score_gemma":0.00004066853,"teacher_disagreement_score":0.034625683,"about_ca_system_score_codex":0.000037248024,"about_ca_system_score_gemma":0.000045753968,"threshold_uncertainty_score":0.22947411},"labels":[],"label_agreement":null},{"id":"W4409487652","doi":"10.1162/imag_a_00568","title":"Contextual expectations in the real-world modulate low-frequency neural oscillations","year":2025,"lang":"en","type":"article","venue":"Imaging Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Wellcome Trust","keywords":"Psychology; Computer science; Cognitive psychology","score_opus":0.026778173064104828,"score_gpt":0.30290451526619006,"score_spread":0.2761263422020852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409487652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96066785,0.000019620398,0.0012999928,0.014001748,0.002006423,0.0005051465,0.000018941417,0.00017593775,0.021304337],"genre_scores_gemma":[0.99008244,0.000014430443,0.000038192444,0.008638815,0.000033387165,0.000044777305,0.0000015669001,0.00001014888,0.0011362385],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99792415,0.00025842266,0.00033120505,0.00067675544,0.00037896974,0.0004304876],"domain_scores_gemma":[0.9987861,0.0005611571,0.00009366652,0.00046784006,0.000042400072,0.00004883348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002334703,0.00017393658,0.00013023491,0.00043379702,0.000643926,0.0003482906,0.0007376751,0.000017309987,0.0000073532233],"category_scores_gemma":[0.0010124618,0.000135142,0.000068192516,0.002776065,0.00043763954,0.0006314966,0.0001027901,0.00030491344,0.000015761987],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010080057,0.00012303017,0.020402623,0.000010136261,3.5723872e-7,0.00008847654,0.00069918775,0.003265487,0.8912555,0.08029975,0.00041751002,0.0034278533],"study_design_scores_gemma":[0.0006233883,0.00004665912,0.338585,0.000058405636,0.000010952354,0.000051415354,0.00036359899,0.6366435,0.009050569,0.012785976,0.0013812003,0.00039929486],"about_ca_topic_score_codex":0.00018481642,"about_ca_topic_score_gemma":0.00018213064,"teacher_disagreement_score":0.88220495,"about_ca_system_score_codex":0.00006099758,"about_ca_system_score_gemma":0.00007917471,"threshold_uncertainty_score":0.55109316},"labels":[],"label_agreement":null},{"id":"W4409488683","doi":"10.1038/s41467-025-58717-2","title":"Thalamic feedback shapes brain responses evoked by cortical stimulation in mice and humans","year":2025,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Mental Health","keywords":"Neuroscience; Stimulation; Thalamus; Brain stimulation; Deep brain stimulation; Biology; Psychology; Medicine; Internal medicine","score_opus":0.025796720563061756,"score_gpt":0.3259648878941977,"score_spread":0.30016816733113594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409488683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97519165,0.001196503,0.00012697668,0.020582613,0.00011114612,0.00030351683,0.00003470941,0.000071196504,0.0023816663],"genre_scores_gemma":[0.995051,0.0003130561,0.0001546287,0.0031259158,0.0000069818657,0.000022605102,0.000025864869,0.0000082745,0.0012916699],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988561,0.00042489052,0.00020715826,0.00025988073,0.00011065151,0.00014128913],"domain_scores_gemma":[0.99716574,0.0022389183,0.00005092656,0.00047734403,0.000037871327,0.000029227458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022520495,0.000101266916,0.000111991656,0.00016585435,0.00032659835,0.0000691147,0.00045786434,0.00017597186,0.0000074916384],"category_scores_gemma":[0.0019410317,0.000098867626,0.00002695338,0.00052186433,0.00018649608,0.00014794343,0.00023181947,0.00081299694,0.000005764842],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009072499,0.00018602698,0.010824674,0.00001313333,0.000003934208,0.0000011808335,0.0001502218,0.000041871055,0.9096514,0.07336721,0.0035209092,0.0021487235],"study_design_scores_gemma":[0.001418694,0.00010073462,0.83140945,0.00014779037,0.00003208442,0.00001019826,0.00013292098,0.099949464,0.008984626,0.009997159,0.047433767,0.00038307655],"about_ca_topic_score_codex":0.000018843728,"about_ca_topic_score_gemma":0.00040924508,"teacher_disagreement_score":0.9006668,"about_ca_system_score_codex":0.000053274474,"about_ca_system_score_gemma":0.000035432422,"threshold_uncertainty_score":0.40317047},"labels":[],"label_agreement":null},{"id":"W4409624264","doi":"10.1017/s0140525x25000068","title":"Sensory horizons and the functions of conscious vision","year":2025,"lang":"en","type":"article","venue":"Behavioral and Brain Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Consciousness; Unconscious mind; Cognitive science; Perception; Psychology; Reflexivity; Cognitive psychology; sort; Computer science; Neuroscience; Sociology","score_opus":0.039962625624248266,"score_gpt":0.3225772504735429,"score_spread":0.28261462484929467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409624264","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9881933,0.000096105454,0.00009061539,0.009437848,0.0003335502,0.00016100978,0.00001313557,0.000020679505,0.0016537936],"genre_scores_gemma":[0.9969267,0.000046926354,0.000039009665,0.00072213024,0.0000117307245,0.0000066057046,3.364112e-7,0.0000016109522,0.00224493],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991424,0.00010149867,0.0002049433,0.00026900164,0.00015856401,0.00012359828],"domain_scores_gemma":[0.9992355,0.00051247666,0.000109843175,0.00009074044,0.000021669352,0.000029752899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051600666,0.00007268244,0.00012231279,0.00008879303,0.00057833176,0.000092617964,0.00011296512,0.00002960989,0.000008707576],"category_scores_gemma":[0.00029291233,0.000040048533,0.00003466966,0.00041124749,0.0023305085,0.00013532817,0.00009801122,0.00007683718,0.0000012970988],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009369195,0.00011354201,0.008449476,0.000017684128,0.0000019138477,0.000003998045,0.0002343746,0.000011071502,0.8210338,0.0935811,0.0020100821,0.074449316],"study_design_scores_gemma":[0.015797794,0.007905156,0.44230902,0.0006224933,0.00054364814,0.00064519106,0.012001264,0.050983053,0.26090127,0.14839514,0.057668395,0.0022275762],"about_ca_topic_score_codex":0.000088755776,"about_ca_topic_score_gemma":0.00004062993,"teacher_disagreement_score":0.5601325,"about_ca_system_score_codex":0.000003973645,"about_ca_system_score_gemma":0.000030674477,"threshold_uncertainty_score":0.85868555},"labels":[],"label_agreement":null},{"id":"W4409654452","doi":"10.1093/nc/niaf009","title":"How do inner screens enable imaginative experience? Applying the free-energy principle directly to the study of conscious experience","year":2025,"lang":"en","type":"article","venue":"Neuroscience of Consciousness","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"John Templeton Foundation","keywords":"Phenomenology (philosophy); Consciousness; Cognitive psychology; Cognitive science; Object (grammar); Psychology; Component (thermodynamics); Focus (optics); Function (biology); Energy (signal processing); Control (management); Computer science; Trait; Epistemology; Aesthetics; Artificial intelligence; Philosophy; Mathematics; Neuroscience","score_opus":0.022749200971224435,"score_gpt":0.2881811584710289,"score_spread":0.2654319574998044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409654452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9870022,0.000041286195,0.0028510685,0.004242216,0.0017772081,0.0018415329,0.00003034313,0.00006946532,0.0021447015],"genre_scores_gemma":[0.99463797,0.000020598432,0.000026334956,0.0027071391,0.000033447188,0.00073314836,2.6698095e-7,0.000018090364,0.0018230105],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99612176,0.00045628106,0.0006960545,0.0010531058,0.0010931994,0.00057960587],"domain_scores_gemma":[0.99652356,0.0008743082,0.0006782803,0.001474928,0.000335862,0.00011305964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062573963,0.00032156368,0.00044808857,0.0002948108,0.000993356,0.0003748027,0.0027794873,0.000052194682,0.000007956039],"category_scores_gemma":[0.0052808463,0.00019234534,0.00010760346,0.0032465206,0.0022478946,0.00053329417,0.0010816834,0.00027004,0.0000012823868],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009910465,0.0005953511,0.00569811,0.00002124548,0.0000045058896,0.00002349239,0.007213427,0.0010585197,0.949085,0.028518192,0.0004971686,0.007185886],"study_design_scores_gemma":[0.0014010603,0.0011066195,0.009819542,0.000117977725,0.00004180173,0.00004710969,0.022403754,0.010775516,0.90713906,0.0026525233,0.043863073,0.0006319508],"about_ca_topic_score_codex":0.00036516722,"about_ca_topic_score_gemma":0.00031859518,"teacher_disagreement_score":0.043365903,"about_ca_system_score_codex":0.000045627225,"about_ca_system_score_gemma":0.00018330754,"threshold_uncertainty_score":0.8282461},"labels":[],"label_agreement":null},{"id":"W4409657694","doi":"10.1016/j.cobeha.2025.101524","title":"The Default Mode Network and inner time consciousness","year":2025,"lang":"en","type":"article","venue":"Current Opinion in Behavioral Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Default mode network; Consciousness; Mode (computer interface); Psychology; Cognitive psychology; Computer science; Human–computer interaction; Neuroscience; Cognition","score_opus":0.07220437018747083,"score_gpt":0.38353764038988125,"score_spread":0.3113332702024104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409657694","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874736,0.00080310006,0.000081403785,0.0017971857,0.008998821,0.00030113634,0.000007515056,0.00004768367,0.0004895266],"genre_scores_gemma":[0.99899244,0.00051980827,0.000022039148,0.00008683116,0.00009227217,0.000034321347,0.000001998735,0.0000033310255,0.00024697275],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988016,0.000112049944,0.00019499371,0.0003696581,0.0002213858,0.0003003276],"domain_scores_gemma":[0.9995315,0.00023398435,0.00005778105,0.00011757344,0.00001941285,0.000039724553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036965913,0.000101037265,0.00009517692,0.00007212544,0.00072892744,0.00022657259,0.00030816044,0.000033073935,0.000007800796],"category_scores_gemma":[0.00007971874,0.00006418172,0.000025332149,0.0008420604,0.00068600266,0.00019223215,0.00015131729,0.00015126403,0.000010081859],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010466701,0.0005339136,0.21456467,0.00007525841,0.0000020949785,0.0000026216253,0.00036046168,0.0044410597,0.036141735,0.18587688,0.027856372,0.53004026],"study_design_scores_gemma":[0.0024674472,0.0008456378,0.1929516,0.0014288398,0.000037953563,0.000040678155,0.00043890436,0.40237713,0.0043722573,0.12363495,0.26971364,0.001690957],"about_ca_topic_score_codex":0.000040206105,"about_ca_topic_score_gemma":0.000027953434,"teacher_disagreement_score":0.52834934,"about_ca_system_score_codex":0.0000266157,"about_ca_system_score_gemma":0.000056375662,"threshold_uncertainty_score":0.56063944},"labels":[],"label_agreement":null},{"id":"W4409678308","doi":"10.1038/s41386-025-02105-3","title":"Mapping brain-wide activity networks: brainways as a tool for neurobiological discovery","year":2025,"lang":"en","type":"article","venue":"Neuropsychopharmacology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Azrieli Foundation; Israel Science Foundation","keywords":"Computer science; Brain atlas; Neuroscience; Neuroimaging; Neuroinformatics; Biological neural network; Artificial intelligence; Brain mapping; Connectomics; Functional magnetic resonance imaging; Pattern recognition (psychology); Machine learning; Connectome; Psychology; Functional connectivity","score_opus":0.023981857385117523,"score_gpt":0.3118891382327545,"score_spread":0.28790728084763695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409678308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94635665,0.000020699325,0.021104407,0.020242527,0.0071259877,0.0012416821,0.000033169457,0.000286274,0.0035886045],"genre_scores_gemma":[0.87641835,0.0000949192,0.00003610986,0.11708231,0.0002989262,0.00022474004,0.000006226184,0.000032750024,0.005805656],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970921,0.0005525104,0.00036326383,0.0011509269,0.00013131666,0.00070987304],"domain_scores_gemma":[0.992712,0.006651627,0.00016324784,0.00033555264,0.000046567755,0.00009099008],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025815112,0.00033289625,0.0003682333,0.00022332653,0.00042462867,0.00014099388,0.00050086767,0.0001803962,0.000080245445],"category_scores_gemma":[0.0026844877,0.00030024728,0.00024732755,0.0007368661,0.00022058903,0.0003238565,0.00021793827,0.00055628025,0.000039181574],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011108718,0.00021570268,0.00033041948,0.000028357686,0.000014242968,0.00006312998,0.00001125105,0.00096560793,0.94490576,0.004368471,0.03954488,0.008441282],"study_design_scores_gemma":[0.011812245,0.0027877935,0.05443689,0.00006909589,0.00011695228,0.00026568084,0.000021227903,0.12811486,0.095192805,0.01691361,0.68860954,0.0016592706],"about_ca_topic_score_codex":0.0000033842982,"about_ca_topic_score_gemma":0.00000133671,"teacher_disagreement_score":0.84971297,"about_ca_system_score_codex":0.00005371075,"about_ca_system_score_gemma":0.000069831294,"threshold_uncertainty_score":0.999945},"labels":[],"label_agreement":null},{"id":"W4409718321","doi":"10.1101/2025.04.16.649221","title":"Nonlinear modulation of human exploration by distinct sources of uncertainty","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"National Institute of Mental Health; University of Minnesota","keywords":"Nonlinear system; Modulation (music); Econometrics; Computer science; Psychology; Environmental science; Biological system; Mathematics; Biology; Physics; Acoustics","score_opus":0.026079827859290954,"score_gpt":0.24751164259919461,"score_spread":0.22143181473990367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409718321","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952202,0.000052662082,0.0023681447,0.00011000211,0.00065511564,0.00052031764,0.00092342956,0.00013052924,0.000019629797],"genre_scores_gemma":[0.9993697,0.000052501273,0.00029200822,0.00005843749,0.00011590532,0.000051314644,0.0000026374291,0.00003492394,0.0000225913],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977139,0.00018118591,0.0006865939,0.00075475243,0.00042431182,0.00023921844],"domain_scores_gemma":[0.9978863,0.00012864485,0.00084053,0.0007373445,0.00033101655,0.0000761487],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00031054884,0.00033234534,0.000473627,0.00024692313,0.00014169002,0.000062566265,0.00041096582,0.0002842627,0.000015269166],"category_scores_gemma":[0.00044657523,0.00034344863,0.00014588256,0.0005175788,0.00016565976,0.00019461522,0.00029488464,0.00036059713,0.0000030031488],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028983799,0.00016462877,0.001509032,0.00044990785,0.000015877653,0.0000018990833,0.00000905426,0.002267474,0.9944685,0.0010075235,0.000072528805,0.000004578165],"study_design_scores_gemma":[0.0002902385,0.00010423661,0.00736991,0.00034168732,0.000050148763,2.6741707e-9,0.0000021138587,0.03768602,0.9534742,0.000030957755,0.00032349612,0.00032697478],"about_ca_topic_score_codex":0.000118119126,"about_ca_topic_score_gemma":0.0000047603544,"teacher_disagreement_score":0.040994298,"about_ca_system_score_codex":0.00010454506,"about_ca_system_score_gemma":0.0001643105,"threshold_uncertainty_score":0.9999018},"labels":[],"label_agreement":null},{"id":"W4409728130","doi":"10.1007/s12021-025-09727-4","title":"Mathematical and Dynamic Modeling of the Anatomical Localization of the Insula in the Brain","year":2025,"lang":"en","type":"review","venue":"Neuroinformatics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"İstanbul Medeniyet Üniversitesi","keywords":"Insula; Neuroimaging; Ellipsoid; Central sulcus; Neuroscience; Computer science; Artificial intelligence; Psychology; Geology; Geodesy","score_opus":0.033643545298375446,"score_gpt":0.30047004752212575,"score_spread":0.2668265022237503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409728130","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07582784,0.78403383,0.06338649,0.009187576,0.007035864,0.03445378,0.0013044616,0.00029640459,0.024473753],"genre_scores_gemma":[0.05945142,0.9381883,0.00006730786,0.0020587537,0.00001777709,0.000035753037,0.000009366838,0.000037254616,0.00013402123],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980165,0.0003671995,0.00092196174,0.00014719348,0.00039930563,0.00014784526],"domain_scores_gemma":[0.9977143,0.0012121729,0.00045364682,0.0005784904,0.000025418796,0.00001601942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036148174,0.00019943438,0.0005271487,0.000108855354,0.000101810416,0.00004017728,0.00073349674,0.00012875929,0.0000015692486],"category_scores_gemma":[0.0018364098,0.00008756801,0.00021336887,0.00087984744,0.00017962443,0.000094053874,0.00031857067,0.00047359098,0.0000010575485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033508626,0.00053212384,0.000037080452,0.16534007,0.00004209313,0.0000070762303,0.003720067,0.037523523,0.00015571456,0.20981565,0.00061204337,0.58218104],"study_design_scores_gemma":[0.00010067699,0.00001813433,0.0000044025082,0.0035659373,0.000077201126,0.000050705046,0.00003527211,0.98713285,0.00000793631,0.0027279984,0.006193367,0.00008549298],"about_ca_topic_score_codex":0.0000021404007,"about_ca_topic_score_gemma":0.0000048787592,"teacher_disagreement_score":0.94960934,"about_ca_system_score_codex":0.000027369864,"about_ca_system_score_gemma":0.00013125723,"threshold_uncertainty_score":0.357092},"labels":[],"label_agreement":null},{"id":"W4409764645","doi":"10.1101/2025.04.23.650255","title":"Neural oscillatory dynamics in joint action: distinct contributions of entrainment and beta modulation to self–other integration","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Centre for Interdisciplinary Research in Music Media and Technology","funders":"Universiteit Gent; Danmarks Grundforskningsfond; National Research Foundation; Université de Lille","keywords":"Entrainment (biomusicology); Dynamics (music); BETA (programming language); Joint (building); Action (physics); Modulation (music); Neuroscience; Psychology; Computer science; Cognitive science; Statistical physics; Physics; Engineering; Rhythm; Quantum mechanics","score_opus":0.020169867214493,"score_gpt":0.2454280664668435,"score_spread":0.22525819925235052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409764645","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872361,0.00003881889,0.008356718,0.00082415924,0.00131316,0.0011194928,0.00092566374,0.0001620166,0.000023907949],"genre_scores_gemma":[0.9989218,0.00005143452,0.00046002545,0.00030596624,0.000101983576,0.000119929224,0.0000012152171,0.000031241667,0.000006374279],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976419,0.0002203231,0.00061487075,0.0008627712,0.0003367195,0.00032339295],"domain_scores_gemma":[0.9986162,0.000116563955,0.00035427735,0.0005526563,0.00021589504,0.00014439005],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040141365,0.00036248344,0.0004364029,0.0004295079,0.00013465201,0.00011483658,0.00020200342,0.00028571693,0.000010423315],"category_scores_gemma":[0.00040995146,0.0003785739,0.00009654157,0.00059561303,0.00008276482,0.00016406145,0.00030418482,0.00051169284,0.0000034626225],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004779258,0.00017167682,0.0053295586,0.0002006652,0.00001980284,0.000006398732,0.000021105589,0.0010679325,0.98073643,0.012329885,0.000026940172,0.000041835094],"study_design_scores_gemma":[0.000684453,0.00012194391,0.20819877,0.00046265812,0.00007397122,5.441477e-8,0.000009500643,0.3455297,0.44382715,0.000041598592,0.00042114043,0.0006290426],"about_ca_topic_score_codex":0.000095129486,"about_ca_topic_score_gemma":0.0000642813,"teacher_disagreement_score":0.5369093,"about_ca_system_score_codex":0.0010177047,"about_ca_system_score_gemma":0.00019328903,"threshold_uncertainty_score":0.9998666},"labels":[],"label_agreement":null},{"id":"W4409781994","doi":"10.1093/cercor/bhaf071","title":"Evaluating the evolution and inter-individual variability of infant functional module development from 0 to 5 yr old","year":2025,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"National Natural Science Foundation of China","keywords":"Modular design; Development (topology); Computer science; Brain development; QUIET; Function (biology); Psychology; Developmental psychology; Cognitive psychology; Neuroscience; Artificial intelligence; Biology; Evolutionary biology; Mathematics; Programming language; Physics","score_opus":0.047578600870071104,"score_gpt":0.2948904460098423,"score_spread":0.24731184513977122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409781994","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9862392,0.000007723456,0.011674774,0.0005553665,0.00068201247,0.00029342272,0.00003124632,0.000026580676,0.00048966834],"genre_scores_gemma":[0.9978806,5.350891e-7,0.0006797772,0.0008226082,0.000038508977,0.000024474057,0.000011836799,0.0000048960437,0.0005367568],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987763,0.00014736339,0.00027183967,0.00039215985,0.00026747995,0.0001448488],"domain_scores_gemma":[0.99924165,0.00036303356,0.00007879169,0.00021492317,0.000060283513,0.00004134117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004886404,0.000103812585,0.00012133268,0.00006362827,0.00020350926,0.000044243003,0.00015139999,0.000041729632,0.000080724254],"category_scores_gemma":[0.00072159985,0.0000753431,0.000033424796,0.00026470216,0.00007047283,0.000096759475,0.00024911042,0.00012959757,0.000008629613],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034406097,0.00015908632,0.10500867,0.000047003476,0.000045930068,9.1023696e-7,0.0006810198,0.00074753596,0.78812605,0.036223937,0.00067801576,0.0679378],"study_design_scores_gemma":[0.0003135186,0.00012192126,0.9414369,0.000036699334,0.000022627853,0.000001739036,0.000057327816,0.03571636,0.012339114,0.009618154,0.00023283881,0.00010283635],"about_ca_topic_score_codex":0.00015588984,"about_ca_topic_score_gemma":0.00006365044,"teacher_disagreement_score":0.83642817,"about_ca_system_score_codex":0.00009755965,"about_ca_system_score_gemma":0.000111371715,"threshold_uncertainty_score":0.30724025},"labels":[],"label_agreement":null},{"id":"W4409900639","doi":"10.20935/acadbiol7653","title":"From biology to physics and the unknown: What would it mean to understand consciousness?","year":2025,"lang":"en","type":"article","venue":"Academia Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Consciousness; Cognitive science; Epistemology; Statistical physics; Physics; Psychology; Philosophy","score_opus":0.03621877904644884,"score_gpt":0.31888695056510735,"score_spread":0.28266817151865853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409900639","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8375038,0.00026615796,0.0071877427,0.1514752,0.0018071241,0.0005246139,0.000041732605,0.00005938744,0.0011342298],"genre_scores_gemma":[0.91189396,0.00047042163,0.000042556876,0.086795464,0.0001771825,0.000020839683,0.000008308078,0.000008165269,0.0005830751],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99857825,0.00028074667,0.00020827862,0.00057739404,0.00004971364,0.00030558757],"domain_scores_gemma":[0.99825716,0.0013425059,0.00005667693,0.00023800452,0.000023787255,0.000081850216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002209224,0.00015925898,0.0002608301,0.00006925769,0.000197063,0.00006011798,0.00033819064,0.0005626627,0.000016784976],"category_scores_gemma":[0.0005018113,0.00010222311,0.000041440457,0.00038481998,0.00047246713,0.000096796495,0.00032159453,0.0007558956,0.00004552682],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032450608,0.000015199077,0.0007011054,0.0000057297716,0.000022563429,0.0000017155389,0.0015011689,0.000029783569,0.4165198,0.5412209,0.0045659477,0.035091598],"study_design_scores_gemma":[0.0023717978,0.000339568,0.00058795005,0.0000744247,0.000057742684,0.000007964394,0.0021636009,0.0015306253,0.059013005,0.65736043,0.2760312,0.00046172144],"about_ca_topic_score_codex":0.00010701091,"about_ca_topic_score_gemma":0.000140705,"teacher_disagreement_score":0.3575068,"about_ca_system_score_codex":0.000041391515,"about_ca_system_score_gemma":0.000032038457,"threshold_uncertainty_score":0.433977},"labels":[],"label_agreement":null},{"id":"W4409947649","doi":"10.1101/2025.04.25.650655","title":"Resting state functional connectivity of the marmoset claustrum","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Claustrum; Marmoset; Functional connectivity; Resting state fMRI; State (computer science); Neuroscience; Biology; Computer science; Paleontology; Algorithm","score_opus":0.02723877235625892,"score_gpt":0.22847407246966409,"score_spread":0.20123530011340518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409947649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99228245,0.00003692779,0.000892238,0.0005810159,0.004432994,0.00064150756,0.0008747849,0.00019623437,0.000061830695],"genre_scores_gemma":[0.9989047,0.000036447895,0.00018225517,0.00051646604,0.00016728304,0.00006486702,1.400324e-7,0.000039489627,0.00008833886],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9971992,0.00036961146,0.0004983713,0.0009936483,0.00052507356,0.0004141059],"domain_scores_gemma":[0.9974311,0.0004380059,0.000609409,0.0011490185,0.00027375418,0.000098727745],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00053596334,0.00039241996,0.00039853228,0.0001736725,0.0003137978,0.00012037304,0.00062989193,0.00027093707,0.00003060178],"category_scores_gemma":[0.0017032645,0.00033291633,0.00020979343,0.00077331485,0.00023310975,0.000121948884,0.0010716569,0.0010399955,0.000010610118],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057310775,0.000084768486,0.009609228,0.00027435782,0.000024858384,0.000009020876,0.0000025295562,0.0010830581,0.98564416,0.0027302178,0.00047533488,0.0000051367824],"study_design_scores_gemma":[0.00032213432,0.00003377067,0.2627636,0.00036992115,0.00005307458,2.753687e-8,7.2833734e-7,0.0044393865,0.730058,0.00007336616,0.0014842033,0.00040175475],"about_ca_topic_score_codex":0.000062730636,"about_ca_topic_score_gemma":0.000006037523,"teacher_disagreement_score":0.25558615,"about_ca_system_score_codex":0.00019581181,"about_ca_system_score_gemma":0.0006180571,"threshold_uncertainty_score":0.99991226},"labels":[],"label_agreement":null},{"id":"W4410016869","doi":"10.1101/2025.04.29.651314","title":"Neural dynamics encoding risky choices during deliberation reveal separate choice subspaces","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute of Mental Health; University of Toronto; National Institutes of Health; National Science Foundation","keywords":"Deliberation; Linear subspace; Dynamics (music); Encoding (memory); Computer science; Artificial intelligence; Psychology; Mathematics; Political science; Pure mathematics","score_opus":0.018471069157784514,"score_gpt":0.24613874539304126,"score_spread":0.22766767623525674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410016869","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99219745,0.0002175097,0.00037300095,0.0005662811,0.00426813,0.0009767786,0.00047312028,0.0008081723,0.00011955572],"genre_scores_gemma":[0.99734765,0.00035277996,0.0005271837,0.0005144892,0.00065441616,0.00019484056,0.0000015009834,0.0001081919,0.0002989244],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9953172,0.00037986477,0.0008121116,0.0019685624,0.00064388185,0.0008783381],"domain_scores_gemma":[0.9970347,0.0003491285,0.00078606023,0.0012315776,0.0003251211,0.00027335502],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00044525176,0.0008503684,0.00068787124,0.0005352996,0.0007778329,0.0009016392,0.000939298,0.0006050028,0.000021474334],"category_scores_gemma":[0.0008935529,0.0009203137,0.0002610234,0.00101315,0.00014875052,0.000683427,0.00085777056,0.0014683154,0.000041984647],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006523328,0.00009193106,0.0059670256,0.0005767127,0.00003817682,0.000059894242,0.000009159699,0.0058784257,0.9862726,0.0009359872,0.000096337935,0.000008556411],"study_design_scores_gemma":[0.0010026726,0.000089700545,0.11054587,0.000739479,0.00018414015,1.5697067e-7,0.0000035742692,0.19020376,0.6943564,0.00001071834,0.001118846,0.0017447331],"about_ca_topic_score_codex":0.00013154667,"about_ca_topic_score_gemma":0.000059700855,"teacher_disagreement_score":0.2919162,"about_ca_system_score_codex":0.0006370948,"about_ca_system_score_gemma":0.0003280499,"threshold_uncertainty_score":0.99932474},"labels":[],"label_agreement":null},{"id":"W4410022517","doi":"10.1088/2632-072x/add3a9","title":"Unraveling high-order interactions in electrophysiological brain signals using elliptical distributions: moving beyond the Gaussian approximation","year":2025,"lang":"en","type":"article","venue":"Journal of Physics Complexity","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"International Laboratory for Brain, Music and Sound Research","funders":"","keywords":"Gaussian; Electrophysiology; Statistical physics; Physics; Mathematics; Neuroscience; Psychology; Quantum mechanics","score_opus":0.06860675833622731,"score_gpt":0.32414896059511417,"score_spread":0.25554220225888685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410022517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6824385,0.000009426616,0.31382036,0.0031374097,0.0003317575,0.00011932696,0.000009611114,0.00000974239,0.00012384608],"genre_scores_gemma":[0.99702704,0.0000075444254,0.001902832,0.00080229377,0.00022269976,0.0000026339687,0.0000055313567,0.00000617108,0.000023236522],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985519,0.00032465972,0.0004808631,0.0001877767,0.00023038496,0.00022441115],"domain_scores_gemma":[0.99863005,0.000742663,0.00031123322,0.00014108526,0.00013541878,0.0000395277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003344734,0.00012792113,0.00023256612,0.00009612346,0.00033213536,0.00011145748,0.00023453683,0.00003390461,0.000018092253],"category_scores_gemma":[0.0006415358,0.00008787945,0.000119404,0.00081102457,0.0001649124,0.00032863303,0.000080744816,0.0006404062,0.0000023957105],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057180656,0.0001730067,0.000037065893,0.0000088954275,0.00000813071,0.000005427452,0.000027936952,0.009465258,0.76134855,0.22708078,0.000052935513,0.0017348427],"study_design_scores_gemma":[0.0003393221,0.00010190661,0.004391274,0.00007453809,0.000023396433,0.00003119504,0.0000594978,0.3882367,0.0567422,0.54979134,0.00009234509,0.00011626203],"about_ca_topic_score_codex":0.00002546927,"about_ca_topic_score_gemma":0.000009615958,"teacher_disagreement_score":0.70460635,"about_ca_system_score_codex":0.00019187911,"about_ca_system_score_gemma":0.0000917661,"threshold_uncertainty_score":0.358362},"labels":[],"label_agreement":null},{"id":"W4410050936","doi":"10.3389/fncir.2025.1618351","title":"Summary statistics of learning link changing neural representations to behavior","year":2025,"lang":"en","type":"article","venue":"Frontiers in Neural Circuits","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Society of Fellows, Harvard University; Defense Advanced Research Projects Agency; National Institutes of Health; Harvard University; National Science Foundation","keywords":"Artificial neural network; Perspective (graphical); Computer science; Artificial intelligence; Task (project management); Set (abstract data type); Machine learning; Engineering","score_opus":0.023347848081412746,"score_gpt":0.28417108737671737,"score_spread":0.2608232392953046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410050936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9551337,0.000107589454,0.03547124,0.0009981035,0.005177218,0.0008601763,0.00010119241,0.00011976087,0.0020310255],"genre_scores_gemma":[0.9954682,0.000022873599,0.00054051384,0.0006711515,0.000055787445,0.000059139307,0.000020620226,0.000019639958,0.0031420584],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99835396,0.00017188556,0.00038152823,0.00046131609,0.00024319098,0.00038814452],"domain_scores_gemma":[0.99932045,0.00020755218,0.000110912224,0.00023259484,0.000053396943,0.00007510615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014368244,0.00015618805,0.000249156,0.00072470336,0.00019044016,0.00004868004,0.00026042433,0.000063913685,0.00001072688],"category_scores_gemma":[0.00081719604,0.00016918352,0.00006214242,0.0013748385,0.000080293394,0.00018197471,0.00012394754,0.00035111225,0.0000034344052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000820582,0.00017271082,0.24918701,0.00014382874,0.0000119139195,0.00019772927,0.0009234883,0.023136111,0.3203909,0.0044745565,0.009263316,0.39201638],"study_design_scores_gemma":[0.0024638956,0.000726222,0.28679144,0.00033042254,0.00015581577,0.000045546327,0.0016306386,0.6302841,0.06862558,0.0036870437,0.0040734853,0.0011858502],"about_ca_topic_score_codex":0.000021853944,"about_ca_topic_score_gemma":0.000010844087,"teacher_disagreement_score":0.60714793,"about_ca_system_score_codex":0.00006824961,"about_ca_system_score_gemma":0.00003109128,"threshold_uncertainty_score":0.68991035},"labels":[],"label_agreement":null},{"id":"W4410067592","doi":"10.1016/b978-0-443-27380-3.00016-6","title":"Neurothermodynamics as a contributing factor shaping the mammalian brain","year":2025,"lang":"en","type":"book-chapter","venue":"Evolution of Nervous Systems","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Factor (programming language); Psychology; Neuroscience; Computer science; Programming language","score_opus":0.030470914992723284,"score_gpt":0.24853337254341976,"score_spread":0.21806245755069648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410067592","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019268787,0.0021196585,0.013686693,0.005371472,0.013534383,0.005810564,0.002047957,0.00071802735,0.9374425],"genre_scores_gemma":[0.62089515,0.000028379422,0.0000026346877,0.0004200608,0.00028076945,0.000021827305,0.000015206053,0.000056572288,0.3782794],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972215,0.00021694189,0.00080252497,0.0006847468,0.00062875845,0.000445515],"domain_scores_gemma":[0.9973547,0.0008449714,0.0009018258,0.0006439179,0.00017580441,0.000078764795],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003757842,0.00043161132,0.000566161,0.00024772206,0.00042663916,0.0001225346,0.00057644,0.00036046837,0.0000626938],"category_scores_gemma":[0.000729567,0.00033824617,0.00031677153,0.00014408748,0.0001859981,0.00010542566,0.00020110169,0.0005913346,0.000076845914],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005996484,0.000019577994,0.000028883394,0.00033718543,0.0000350431,0.00003473233,0.00006419279,0.0009220666,0.05147794,0.9432065,0.0020164866,0.0017974186],"study_design_scores_gemma":[0.002258431,0.0011793768,0.001413131,0.0048264363,0.0002995024,0.00087039656,0.00023451522,0.4440154,0.0013058608,0.036209796,0.5047152,0.0026719302],"about_ca_topic_score_codex":0.0003598662,"about_ca_topic_score_gemma":0.0000458115,"teacher_disagreement_score":0.9069967,"about_ca_system_score_codex":0.00043960963,"about_ca_system_score_gemma":0.00021636834,"threshold_uncertainty_score":0.99990696},"labels":[],"label_agreement":null},{"id":"W4410092597","doi":"10.1101/2025.05.04.651766","title":"Function of the auditory cortex characterized by its intrinsic dynamic coactivation patterns estimated in individuals","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; China Postdoctoral Science Foundation; Massachusetts Life Sciences Center; Changping Laboratory","keywords":"Coactivation; Function (biology); Auditory cortex; Psychology; Neuroscience; Audiology; Biology; Medicine; Electromyography; Evolutionary biology","score_opus":0.01618710330195402,"score_gpt":0.2306672437224186,"score_spread":0.21448014042046457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410092597","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99158704,0.00006586202,0.0009516307,0.00020251735,0.004144699,0.0014916379,0.0013605373,0.0001903666,0.0000057191605],"genre_scores_gemma":[0.99888045,0.00018627042,0.000029163868,0.00042331693,0.00011277111,0.00027747484,0.000003000035,0.00005379061,0.00003376025],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.996925,0.00040432805,0.00074391114,0.0010125942,0.0005156422,0.00039850656],"domain_scores_gemma":[0.99765086,0.00021498934,0.0009695291,0.0008594223,0.00022336804,0.00008181253],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040919127,0.00047179346,0.0005384947,0.00040739728,0.00015517863,0.00012375062,0.00064025057,0.00047939183,0.000028848528],"category_scores_gemma":[0.0005106937,0.00043076678,0.00014543248,0.0009946994,0.00009964687,0.00026183,0.00056130893,0.0009869375,0.000011501105],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048684626,0.00016802977,0.010559917,0.0003800424,0.000026513197,0.0000028723186,0.000004329631,0.00006551204,0.9885113,0.00012529096,0.00007973913,0.000027759583],"study_design_scores_gemma":[0.0005717452,0.000042075982,0.64613813,0.00058244175,0.00005939402,1.048684e-8,0.0000010144379,0.004106162,0.347644,0.0000044402514,0.000488979,0.00036163026],"about_ca_topic_score_codex":0.000028302367,"about_ca_topic_score_gemma":0.0000035520472,"teacher_disagreement_score":0.6408673,"about_ca_system_score_codex":0.00036285853,"about_ca_system_score_gemma":0.0004120961,"threshold_uncertainty_score":0.9998144},"labels":[],"label_agreement":null},{"id":"W4410099551","doi":"10.1113/jp288352","title":"Electrosensory midbrain neurons optimally decode ascending input during object localization","year":2025,"lang":"en","type":"article","venue":"The Journal of Physiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Sensory system; Decoding methods; Neuroscience; Midbrain; Neural decoding; Computer science; Neuron; Neural coding; Psychology; Algorithm; Central nervous system","score_opus":0.014411208488642331,"score_gpt":0.2629159819994696,"score_spread":0.24850477351082725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410099551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948518,0.00003425306,0.0030724637,0.00093938457,0.00061474775,0.000088065906,0.0000013046392,0.000017596172,0.00038035153],"genre_scores_gemma":[0.9976965,0.00015913737,0.000036717607,0.001639836,0.00012847198,8.885979e-7,4.719396e-7,0.000009868535,0.00032806065],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987922,0.0004429667,0.00029244547,0.00013370805,0.00011606889,0.00022266709],"domain_scores_gemma":[0.9990801,0.00043335365,0.00025300082,0.0001500757,0.0000532179,0.000030222667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002536589,0.00010376607,0.00017411643,0.00015481352,0.00025459644,0.00001966256,0.00028562185,0.000044495482,0.000018569051],"category_scores_gemma":[0.00044741534,0.00006910815,0.00008192693,0.00031040286,0.00009565148,0.00012225054,0.00006945059,0.0003237593,0.0000060891616],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022314517,0.000028361295,0.000056184203,0.000012660413,0.000008883298,0.000007056839,0.00004691164,0.011331752,0.9866747,0.0011767346,0.00018955627,0.00024400857],"study_design_scores_gemma":[0.00067239447,0.0003744448,0.028863316,0.000047841248,0.000047290472,0.00033813473,0.000040168437,0.030469975,0.93249106,0.006000055,0.0005269808,0.00012834674],"about_ca_topic_score_codex":0.0000028535667,"about_ca_topic_score_gemma":0.0000036265042,"teacher_disagreement_score":0.054183695,"about_ca_system_score_codex":0.000052793537,"about_ca_system_score_gemma":0.000056939538,"threshold_uncertainty_score":0.28181487},"labels":[],"label_agreement":null},{"id":"W4410130866","doi":"10.1101/2025.05.05.651928","title":"Investigating local negative feedback of Rac activity by mathematical models and cell motility simulations","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Motility; Negative feedback; Computer science; Control theory (sociology); Cell biology; Physics; Biology; Artificial intelligence; Control (management)","score_opus":0.028617365711414145,"score_gpt":0.24337823933448657,"score_spread":0.21476087362307242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410130866","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94887704,0.000039175502,0.04879369,0.00016418952,0.00024613578,0.00068088906,0.0010144162,0.00013656299,0.000047933416],"genre_scores_gemma":[0.99747944,0.000030420388,0.0022039237,0.00016093324,0.000035097102,0.000036818463,2.260578e-7,0.000036502155,0.000016655602],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974948,0.00028833948,0.00049298233,0.0010092305,0.00037680755,0.00033781686],"domain_scores_gemma":[0.9976325,0.0007746198,0.00046813863,0.000703591,0.00022132443,0.00019980724],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003177285,0.00041365065,0.0005495026,0.00014315768,0.00020060127,0.00011803187,0.00031500362,0.0003654473,0.000014579827],"category_scores_gemma":[0.000897592,0.00042907312,0.00010305698,0.00046213003,0.00046975721,0.00028669284,0.0006274405,0.00076457317,0.0000036038266],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014462325,0.00020339256,0.00043755735,0.0007626959,0.000014011264,0.0000018835051,0.00001835154,0.008137502,0.98850024,0.0018588675,0.00004465015,0.0000063842645],"study_design_scores_gemma":[0.00022776978,0.000022090211,0.0024331731,0.00018060012,0.000039391034,4.317028e-9,0.0000017485747,0.42028987,0.57608414,0.00048552357,0.000008651083,0.00022707142],"about_ca_topic_score_codex":0.00004830999,"about_ca_topic_score_gemma":0.0000013793665,"teacher_disagreement_score":0.41241613,"about_ca_system_score_codex":0.00013722325,"about_ca_system_score_gemma":0.00028123183,"threshold_uncertainty_score":0.9998161},"labels":[],"label_agreement":null},{"id":"W4410133623","doi":"10.3389/fninf.2025.1515873","title":"Net2Brain: a toolbox to compare artificial vision models with human brain responses","year":2025,"lang":"en","type":"article","venue":"Frontiers in Neuroinformatics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Freie Universität Berlin; Goethe-Universität Frankfurt am Main; Deutsche Forschungsgemeinschaft; European Commission","keywords":"Computer science; Toolbox; Python (programming language); Artificial intelligence; Visualization; Machine learning; Variety (cybernetics); Neuroimaging","score_opus":0.029681715161491203,"score_gpt":0.2853249489071101,"score_spread":0.25564323374561887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410133623","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8793219,0.000008639615,0.102302074,0.00495783,0.0012532774,0.0009539342,0.000038590984,0.00017513127,0.010988631],"genre_scores_gemma":[0.9809919,0.0000058343207,0.005169515,0.011944397,0.000030572694,0.000028954295,0.000010836364,0.000023854604,0.0017941496],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982368,0.00013178162,0.0005371756,0.00033060982,0.00035699917,0.00040665106],"domain_scores_gemma":[0.9990775,0.00023211162,0.00011534202,0.00043456123,0.000038236918,0.00010226302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023738906,0.0002288553,0.0002954703,0.00062814524,0.00027613732,0.00022025267,0.00037968767,0.000045896366,0.000004535456],"category_scores_gemma":[0.00038971807,0.00020001696,0.000053946314,0.0010686427,0.00010620754,0.00064293935,0.00011752549,0.00029924433,0.000012548196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004552167,0.00068480044,0.005402064,0.0004575245,0.00002910131,0.00027464892,0.004733338,0.30024332,0.11800093,0.14063343,0.38439304,0.04059563],"study_design_scores_gemma":[0.0010274114,0.00065272464,0.0035623205,0.00023141509,0.000014341539,0.000019271989,0.00068031636,0.9521669,0.008044803,0.017590549,0.015499944,0.00050998497],"about_ca_topic_score_codex":0.00001162817,"about_ca_topic_score_gemma":0.000050993163,"teacher_disagreement_score":0.6519236,"about_ca_system_score_codex":0.0000979746,"about_ca_system_score_gemma":0.00008126329,"threshold_uncertainty_score":0.8156455},"labels":[],"label_agreement":null},{"id":"W4410169185","doi":"10.1038/s12276-025-01456-7","title":"Quantitative dynamics of neural uncertainty in sensory processing and decision-making during discriminative learning","year":2025,"lang":"en","type":"article","venue":"Experimental & Molecular Medicine","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Research Foundation of Korea; Ministry of Science and ICT, South Korea; Korea Health Industry Development Institute; National Research Foundation","keywords":"Sensory system; Somatosensory system; Computer science; Artificial intelligence; Machine learning; Representation (politics); Discriminative model; Cognition; Psychology; Neuroscience","score_opus":0.017223313946317098,"score_gpt":0.3394019458048983,"score_spread":0.3221786318585812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410169185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946997,0.0006831767,0.0031079664,0.0002773511,0.00014901748,0.00019874507,0.0000018450257,0.000023164986,0.00085902814],"genre_scores_gemma":[0.99932396,0.000017110335,0.00036632371,0.00021639,0.000008022384,0.000010379538,0.0000029436387,0.000012885191,0.00004199337],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987999,0.000113851034,0.00028824128,0.00037415753,0.00024011522,0.00018374261],"domain_scores_gemma":[0.99945045,0.00027393483,0.00011942622,0.000092241804,0.00003005867,0.000033921744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000117546944,0.0001534191,0.00024087499,0.00024867323,0.00012442708,0.000015341613,0.00009257082,0.000038655235,0.000009279114],"category_scores_gemma":[0.0006027343,0.00012999588,0.000030223784,0.00040501822,0.0003020985,0.00012157065,0.00011798884,0.00021959272,2.8727604e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021480168,0.00005314817,0.00030564677,0.000049961516,0.0000032371113,0.00011044033,0.0014872003,0.002168401,0.9801794,0.0055714166,7.321551e-7,0.009855603],"study_design_scores_gemma":[0.0016997944,0.0005748517,0.0054126936,0.0014037067,0.000016683762,0.00004179562,0.015130765,0.5682971,0.4044101,0.0027889633,0.0000037494829,0.00021982388],"about_ca_topic_score_codex":0.00003921175,"about_ca_topic_score_gemma":0.00001456331,"teacher_disagreement_score":0.5757693,"about_ca_system_score_codex":0.00012382795,"about_ca_system_score_gemma":0.000018327382,"threshold_uncertainty_score":0.53010786},"labels":[],"label_agreement":null},{"id":"W4410204735","doi":"10.1016/j.pneurobio.2025.102776","title":"Neural dynamics encoding risky choices during deliberation reveal separate choice subspaces","year":2025,"lang":"en","type":"article","venue":"Progress in Neurobiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute of Mental Health; University of Toronto; National Institute of Mental Health and Neurosciences; National Institutes of Health; National Science Foundation","keywords":"Deliberation; Computer science; Representation (politics); Artificial intelligence; Machine learning; Artificial neural network; Psychology; Cognitive science","score_opus":0.018293691349205273,"score_gpt":0.29789006211575014,"score_spread":0.27959637076654487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410204735","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948878,0.00016638583,0.000024300289,0.0015361855,0.0016695344,0.00040880244,0.000013268683,0.00016158489,0.0011321142],"genre_scores_gemma":[0.99797326,0.00010669981,0.0000567944,0.0007071847,0.000077216624,0.0000884248,0.000016909169,0.000018818551,0.0009547142],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978826,0.00037177317,0.00039553066,0.0007506984,0.000101034864,0.0004983467],"domain_scores_gemma":[0.9990567,0.00041641688,0.0001824149,0.00026004788,0.000037716516,0.00004668502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001579315,0.00023818195,0.00026293608,0.00030786757,0.0002689271,0.0001174379,0.00034875216,0.00014245394,0.000009522527],"category_scores_gemma":[0.0003180933,0.00022182065,0.000064157284,0.0006663051,0.0002091508,0.0003131147,0.00019589938,0.00043299,0.00001076466],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040608982,0.0002570166,0.60660815,0.00022483162,0.000014020072,0.00011750061,0.00011589544,0.0048613297,0.3517437,0.008044201,0.00010644737,0.027500797],"study_design_scores_gemma":[0.0025323513,0.0004578067,0.58321714,0.00017755911,0.00003615986,0.0001268122,0.000035805588,0.29385573,0.11609489,0.0013320727,0.0013073654,0.0008263107],"about_ca_topic_score_codex":0.000018390774,"about_ca_topic_score_gemma":0.00028232453,"teacher_disagreement_score":0.2889944,"about_ca_system_score_codex":0.00009075944,"about_ca_system_score_gemma":0.000027133503,"threshold_uncertainty_score":0.90455836},"labels":[],"label_agreement":null},{"id":"W4410206987","doi":"10.7554/elife.100123.2","title":"Imaging of brain electric field networks with spatially resolved EEG","year":2025,"lang":"en","type":"preprint","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Electroencephalography; Field (mathematics); Electric field; Neuroscience; Neuroimaging; Psychology; Computer science; Physics; Mathematics","score_opus":0.012820155333793623,"score_gpt":0.24859459558593727,"score_spread":0.23577444025214364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410206987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58223295,0.00074559136,0.35124406,0.01765842,0.0057586282,0.0023108725,0.00007460855,0.00060295383,0.039371926],"genre_scores_gemma":[0.9907983,0.00014168482,0.00032785026,0.0069029196,0.00016619315,0.000024733601,0.000011789817,0.000020015466,0.0016064926],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99838763,0.00012109888,0.00030618484,0.0005724004,0.00034096077,0.0002717007],"domain_scores_gemma":[0.99853873,0.0006012922,0.0002544946,0.00047083708,0.00008213275,0.00005249978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019890208,0.00021806319,0.00029194163,0.0001754348,0.00007970913,0.00006169166,0.00031173718,0.00013422257,0.000025727908],"category_scores_gemma":[0.0006240336,0.000186988,0.00010009628,0.00036427434,0.000028155051,0.000046151752,0.0003534161,0.000706975,0.0000025984289],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001894259,0.0005042955,0.014631342,0.0010253808,0.00012850559,0.00041544248,0.00036417795,0.22540712,0.54751927,0.010860039,0.06295752,0.13429265],"study_design_scores_gemma":[0.000724471,0.0003584386,0.004283539,0.0006611513,0.00006917138,0.00002150303,0.0000069608877,0.8090026,0.1782573,0.0009618961,0.004978321,0.0006746625],"about_ca_topic_score_codex":0.00015700239,"about_ca_topic_score_gemma":0.000049500235,"teacher_disagreement_score":0.58359545,"about_ca_system_score_codex":0.00003572439,"about_ca_system_score_gemma":0.00018009086,"threshold_uncertainty_score":0.762515},"labels":[],"label_agreement":null},{"id":"W4410218966","doi":"10.1016/j.celrep.2025.115678","title":"Reliable sensory processing of superficial cortical interneurons is modulated by behavioral state","year":2025,"lang":"en","type":"article","venue":"Cell Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute on Deafness and Other Communication Disorders; Fonds de recherche du Québec – Nature et technologies; Fondation Bertarelli; Natural Sciences and Engineering Research Council of Canada; Nancy Lurie Marks Family Foundation","keywords":"Neuroscience; Sensory processing; Sensory system; Cortical neurons; Biology","score_opus":0.021220180964422762,"score_gpt":0.2739654095989491,"score_spread":0.25274522863452636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410218966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964958,0.00002322969,0.00023749593,0.0000790465,0.00055429555,0.00015743835,0.000012358339,0.0000620971,0.002378234],"genre_scores_gemma":[0.9875763,0.000011800123,0.000021985159,0.00033645096,0.000009331075,0.0000041515345,0.0000058197174,0.000014368776,0.012019782],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99868333,0.000035652367,0.00042984734,0.00043005223,0.00020589768,0.00021524617],"domain_scores_gemma":[0.9994478,0.00004245968,0.00015755318,0.00023652171,0.000062343184,0.000053271924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000091684575,0.00011710939,0.00016469092,0.00007119702,0.00009775233,0.000041579548,0.00007360653,0.000056936333,0.000040577925],"category_scores_gemma":[0.00011171822,0.00011052968,0.000057524587,0.00025011576,0.00010014722,0.00010445865,0.00006967914,0.00018589752,0.0000037267425],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026115955,0.00018020257,0.0034041724,0.000037101614,8.8977527e-7,0.00022150754,0.000070616465,0.00006081933,0.9929358,0.000009533989,0.0018254172,0.0012278607],"study_design_scores_gemma":[0.000108837994,0.00008815603,0.0009969714,0.000030790965,0.000019325515,0.000047054637,0.000015511512,0.009591853,0.98702854,0.00029285683,0.0016737955,0.00010631836],"about_ca_topic_score_codex":0.00004731867,"about_ca_topic_score_gemma":0.0000017665881,"teacher_disagreement_score":0.009641549,"about_ca_system_score_codex":0.00002904295,"about_ca_system_score_gemma":0.00007575045,"threshold_uncertainty_score":0.45072696},"labels":[],"label_agreement":null},{"id":"W4410246320","doi":"10.1016/j.neuroimage.2025.121255","title":"Time-dependent scale-free brain dynamics during naturalistic inputs","year":2025,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Ottawa","funders":"","keywords":"Brain activity and meditation; Human Connectome Project; Psychology; Stimulus (psychology); Exponent; Sensory system; Correlation; Neuroscience; Functional connectivity; Electroencephalography; Mathematics; Cognitive psychology","score_opus":0.009080963750356828,"score_gpt":0.24073217268994568,"score_spread":0.23165120893958885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410246320","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9683387,0.000010981859,0.00041900645,0.010278594,0.0013747126,0.0003279851,0.00009684386,0.00037048082,0.018782683],"genre_scores_gemma":[0.95502037,0.000011464632,0.00004229627,0.0066904267,0.000070530936,0.000012259167,0.000011038276,0.00003392612,0.0381077],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99811316,0.00016134084,0.00027506464,0.00070414663,0.0003461621,0.00040015994],"domain_scores_gemma":[0.9987148,0.00036888558,0.00008526541,0.0007081649,0.0000384745,0.00008442635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011980391,0.00023012898,0.00020021961,0.00021378636,0.00030081693,0.00016770366,0.0006229864,0.00008388777,0.00007472924],"category_scores_gemma":[0.0014133961,0.00022234548,0.00010051692,0.00052373833,0.00014748942,0.00025066274,0.00045673974,0.00044101593,0.00023900435],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006533798,0.00006820705,0.00021112783,0.000056116012,0.0000029086116,0.00017660968,0.000016588729,0.0001846192,0.99247015,0.0020357422,0.0034904068,0.0012221729],"study_design_scores_gemma":[0.005259826,0.00032169727,0.05300592,0.00022977567,0.000097849224,0.0005121849,0.000027302203,0.36031303,0.55647063,0.014792327,0.0073236353,0.0016457936],"about_ca_topic_score_codex":0.000011442148,"about_ca_topic_score_gemma":0.00003902571,"teacher_disagreement_score":0.4359995,"about_ca_system_score_codex":0.00012385561,"about_ca_system_score_gemma":0.0000330274,"threshold_uncertainty_score":0.9066985},"labels":[],"label_agreement":null},{"id":"W4410300225","doi":"10.1371/journal.pcbi.1012572","title":"Capturing the emergent dynamical structure in biophysical neural models","year":2025,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"H2020 European Research Council; National Foundation for Medical Research and Innovation","keywords":"Statistical physics; Dynamical systems theory; Granularity; Biological system; Independence (probability theory); Physics; Entropy (arrow of time); Computer science; Mathematics; Biology","score_opus":0.028077017282683657,"score_gpt":0.26673397154313017,"score_spread":0.2386569542604465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410300225","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990629,0.000012402048,0.0033415116,0.005105702,0.00042544515,0.00016175614,0.000035008532,0.000034173434,0.00025497866],"genre_scores_gemma":[0.9978046,0.0000027393655,0.000109420595,0.0019434876,0.00004717837,0.000010494007,0.000031446732,0.0000049699515,0.000045694953],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909884,0.00014062512,0.00018159072,0.0003076244,0.000093952665,0.00017738664],"domain_scores_gemma":[0.9994356,0.00038943285,0.000037279136,0.000092120696,0.000023919047,0.00002165636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003207447,0.000100476864,0.00011521351,0.000088257904,0.00010680038,0.000018776866,0.00018852751,0.000057642963,0.000017459164],"category_scores_gemma":[0.00008186843,0.00006728061,0.000044075932,0.00027747886,0.00011799579,0.000055417364,0.000100466095,0.00022133235,0.000005530256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004643619,0.00008854183,0.0008052051,0.000009331368,0.0000085790225,0.000005360151,0.00005124074,0.38784996,0.22975706,0.37923536,0.00006596724,0.002076985],"study_design_scores_gemma":[0.00014336868,0.000022088456,0.0051310826,0.00000390202,0.000003162658,0.000003624616,0.0000048840857,0.79535246,0.0011690566,0.19807798,0.00003297676,0.00005543973],"about_ca_topic_score_codex":0.000016642392,"about_ca_topic_score_gemma":0.000016972082,"teacher_disagreement_score":0.4075025,"about_ca_system_score_codex":0.000038800576,"about_ca_system_score_gemma":0.000026209234,"threshold_uncertainty_score":0.27436236},"labels":[],"label_agreement":null},{"id":"W4410395790","doi":"10.1101/2025.05.14.654107","title":"Coherent thalamic inputs organize head direction signal in the medial entorhinal cortex","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Azrieli Foundation; Natural Sciences and Engineering Research Council of Canada; International Development Research Centre","keywords":"Entorhinal cortex; Head (geology); Neuroscience; SIGNAL (programming language); Cortex (anatomy); Computer science; Psychology; Geology; Hippocampus; Paleontology","score_opus":0.019109951968851513,"score_gpt":0.2387053885790017,"score_spread":0.21959543661015019,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410395790","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924567,0.00010198382,0.0003330032,0.0008766487,0.004581724,0.0011002423,0.00018417592,0.00028937132,0.00007617506],"genre_scores_gemma":[0.99756706,0.00019382931,0.00006837677,0.0012787933,0.0005977257,0.00020319522,6.251851e-7,0.000053553944,0.000036866135],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99626064,0.0005865024,0.000586862,0.0012632938,0.0007336176,0.00056907715],"domain_scores_gemma":[0.9981316,0.00033588638,0.00036589245,0.00088188396,0.0001637351,0.0001210303],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007085419,0.0005449105,0.00047123551,0.00035351093,0.00025094033,0.00034276827,0.0009156437,0.00042745314,0.00008352019],"category_scores_gemma":[0.0004900215,0.00045968065,0.0001566812,0.0011006895,0.00013826997,0.0001692309,0.00045153772,0.0014205149,0.00005321456],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061042694,0.00023582419,0.004328298,0.0001340547,0.000013289587,0.00008826174,0.00002859697,0.00007020589,0.9938045,0.0009334148,0.00029554573,0.00000696887],"study_design_scores_gemma":[0.001377654,0.00022803352,0.29995143,0.0007142326,0.00013797315,2.7937054e-7,0.0000061863334,0.0059116287,0.6835612,0.000044561824,0.0067561115,0.0013106829],"about_ca_topic_score_codex":0.00009134985,"about_ca_topic_score_gemma":0.00005884201,"teacher_disagreement_score":0.31024328,"about_ca_system_score_codex":0.0004137458,"about_ca_system_score_gemma":0.00050093466,"threshold_uncertainty_score":0.9997855},"labels":[],"label_agreement":null},{"id":"W4410400187","doi":"10.7554/elife.93191.3","title":"Gain neuromodulation mediates task-relevant perceptual switches: evidence from pupillometry, fMRI, and RNN Modelling","year":2025,"lang":"en","type":"preprint","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Pupillometry; Neuromodulation; Task (project management); Psychology; Neuroscience; Cognitive psychology; Perception; Recurrent neural network; Computer science; Artificial intelligence; Pupil; Stimulation; Engineering; Artificial neural network","score_opus":0.0744970803331858,"score_gpt":0.28550830244247477,"score_spread":0.21101122210928897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410400187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96081674,0.000778188,0.03373225,0.0012395908,0.0023511674,0.00051738665,0.0002458508,0.0002045109,0.00011433499],"genre_scores_gemma":[0.9932502,0.0038407815,0.0008115551,0.0011173561,0.00046935692,0.000045320558,0.00008453993,0.00003656925,0.0003443214],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966463,0.00023989473,0.0005409544,0.0014648528,0.0007429484,0.0003650741],"domain_scores_gemma":[0.99738514,0.0014458746,0.00028883538,0.00062022323,0.00009922674,0.00016067647],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003738688,0.00043808133,0.00045379417,0.0002936512,0.00022912055,0.00029131662,0.000386707,0.0003277495,0.000044589662],"category_scores_gemma":[0.0018354481,0.0004140896,0.00014129843,0.00030688482,0.00012231825,0.00027490655,0.0009212296,0.0009094041,0.00003904895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019690565,0.00015518114,0.0045027104,0.00040935993,0.00004463776,0.000069351765,0.0029823969,0.3496611,0.63010806,0.00040904613,0.0014443881,0.010016867],"study_design_scores_gemma":[0.00020173573,0.00006686414,0.0025088135,0.00060085335,0.00006452041,0.0000052963496,0.000071170405,0.9725862,0.020040007,0.0030810842,0.0003020763,0.00047139282],"about_ca_topic_score_codex":0.0006646303,"about_ca_topic_score_gemma":0.000034663783,"teacher_disagreement_score":0.6229251,"about_ca_system_score_codex":0.00009542755,"about_ca_system_score_gemma":0.00012388246,"threshold_uncertainty_score":0.9998311},"labels":[],"label_agreement":null},{"id":"W4410430476","doi":"10.31234/osf.io/fbmw5_v1","title":"Pitch biases sensorimotor synchronization to auditory rhythms","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Rhythm; Synchronization (alternating current); Communication; Speech recognition; Psychology; Cognitive psychology; Audiology; Computer science; Acoustics; Telecommunications; Medicine; Physics","score_opus":0.04390610545154321,"score_gpt":0.28884656184607754,"score_spread":0.24494045639453432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410430476","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8951553,0.00009402922,0.011203331,0.008309218,0.054633792,0.002125742,0.00035475372,0.0019708194,0.026152983],"genre_scores_gemma":[0.97275233,0.00007124607,0.00030394737,0.0022575122,0.0023774966,0.00008247023,0.000032716132,0.000070032096,0.022052228],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997949,0.000081763144,0.00028058176,0.0010274037,0.0003862014,0.0002750451],"domain_scores_gemma":[0.9989959,0.0002426996,0.0000804492,0.00048401297,0.00006278216,0.00013414003],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001071484,0.0002913852,0.00022457153,0.00024398316,0.00010130617,0.00028787306,0.00022138319,0.0002104531,0.00031428802],"category_scores_gemma":[0.00076942705,0.00025084926,0.00012742032,0.0003295662,0.0000371855,0.000052569452,0.0010595141,0.0005368317,0.0017596293],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009693669,0.00024002093,0.000055806566,0.0013025068,0.000045582514,0.0005362052,0.00032487314,0.06900071,0.60376966,0.01162924,0.26431993,0.04867852],"study_design_scores_gemma":[0.0003600558,0.00050511176,0.00086714915,0.0013758596,0.00015227373,0.00016686265,0.000054795484,0.72453654,0.15925452,0.0274405,0.08289901,0.002387302],"about_ca_topic_score_codex":0.000055295215,"about_ca_topic_score_gemma":0.000016745253,"teacher_disagreement_score":0.6555359,"about_ca_system_score_codex":0.00019623166,"about_ca_system_score_gemma":0.00012570655,"threshold_uncertainty_score":0.9999944},"labels":[],"label_agreement":null},{"id":"W4410579692","doi":"10.1101/2025.05.20.655207","title":"Inhibitory Circuit Compensations in Female and Male Mice: Increased Synaptic Output Offsets Reduced Parvalbumin Interneuron Density","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Cumming School of Medicine, University of Calgary; Alberta Children's Hospital Research Institute; Directorate for Biological Sciences; National Institutes of Health; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada","keywords":"Parvalbumin; Interneuron; Inhibitory postsynaptic potential; Neuroscience; Psychology; Biology","score_opus":0.026535440701824994,"score_gpt":0.23118235597173897,"score_spread":0.20464691526991396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410579692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962895,0.00011487176,0.00013998404,0.00021342513,0.0017561973,0.00097246206,0.00022263527,0.00023753074,0.00005337667],"genre_scores_gemma":[0.998707,0.00011373101,0.0001630269,0.00063179777,0.00013861145,0.00012516072,8.945719e-7,0.00005822339,0.000061561135],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99643356,0.0004747655,0.0006580185,0.0015531484,0.00036562112,0.0005148913],"domain_scores_gemma":[0.9979563,0.0003579898,0.0003857952,0.000901189,0.00017217713,0.0002265972],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00049255823,0.00053233845,0.0006059271,0.0005778006,0.0002186483,0.00025001913,0.00047786455,0.00043818034,0.000022485403],"category_scores_gemma":[0.0010298062,0.00062839984,0.00012222394,0.0005791851,0.00022946131,0.00020197472,0.0007894821,0.0011073415,0.000035348574],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005051558,0.00018935691,0.0110992715,0.00036400981,0.000021885233,0.00015658622,0.00002338345,0.000058592283,0.9871056,0.00080731243,0.000118105185,0.0000053657886],"study_design_scores_gemma":[0.0010472741,0.00008313585,0.40877187,0.0010457009,0.00011691817,5.4350517e-7,0.000009781496,0.009981046,0.57749367,0.000016838589,0.00037223857,0.001060964],"about_ca_topic_score_codex":0.0002736305,"about_ca_topic_score_gemma":0.000032519234,"teacher_disagreement_score":0.40961194,"about_ca_system_score_codex":0.00035437546,"about_ca_system_score_gemma":0.0004217123,"threshold_uncertainty_score":0.99961674},"labels":[],"label_agreement":null},{"id":"W4410580388","doi":"10.1038/s42003-025-08212-7","title":"Neurogenetic phenotypes of learning-dependent plasticity for improved perceptual decisions","year":2025,"lang":"en","type":"article","venue":"Communications Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Biotechnology and Biological Sciences Research Council; Wellcome; Directorate for Biological Sciences; Montreal Neurological Institute and Hospital; Research Councils UK; Wellcome Trust","keywords":"Neuroscience; Perceptual learning; Neuroplasticity; Perception; Neuroimaging; Psychology; Plasticity; Phenotype; Cognition; Cognitive psychology; Biology; Gene; Genetics","score_opus":0.06048612714028051,"score_gpt":0.3304779233042422,"score_spread":0.2699917961639617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410580388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91688186,0.0002446021,0.074381694,0.0035888804,0.00052634394,0.0007656778,0.00013442714,0.000107499036,0.0033690396],"genre_scores_gemma":[0.9973546,0.00033583713,0.001375173,0.00032912722,0.000008554308,0.00005722999,0.00002370448,0.0000061914784,0.00050954655],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991995,0.00021599901,0.00022314301,0.00020600167,0.000025784806,0.0001295426],"domain_scores_gemma":[0.9966249,0.0026487499,0.00008774897,0.0005376952,0.0000780975,0.00002281188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000091959526,0.0000743947,0.00013186048,0.00010370486,0.00029444564,0.0000103377415,0.0006550505,0.000065934866,0.000013837558],"category_scores_gemma":[0.0027541143,0.00006622795,0.000059888065,0.000195997,0.00028967587,0.000022599563,0.0003696933,0.00015475338,0.000006698635],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004005038,0.0001027803,0.00046592837,0.0000038778785,0.000005595379,2.1811195e-8,0.00003315631,0.00023771146,0.9189861,0.06414936,0.000070072776,0.015905382],"study_design_scores_gemma":[0.0034473706,0.0024785106,0.025954884,0.00008509492,0.00021676226,0.00001838252,0.00047260677,0.47181877,0.26185688,0.09922995,0.13368028,0.0007405079],"about_ca_topic_score_codex":0.000010410413,"about_ca_topic_score_gemma":0.000042309424,"teacher_disagreement_score":0.65712917,"about_ca_system_score_codex":0.000015397707,"about_ca_system_score_gemma":0.000044318458,"threshold_uncertainty_score":0.3297131},"labels":[],"label_agreement":null},{"id":"W4410588714","doi":"10.1007/s11229-025-05068-6","title":"Attention, consciousness, and inattentional blindness","year":2025,"lang":"en","type":"article","venue":"Synthese","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council","keywords":"Inattentional blindness; Philosophy of language; Consciousness; Philosophy of science; Metaphysics; Change blindness; Blindness; Psychology; Cognitive psychology; Philosophy; Cognitive science; Epistemology; Perception; Medicine; Optometry","score_opus":0.015450927548133346,"score_gpt":0.2611872873445571,"score_spread":0.24573635979642375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410588714","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9877506,0.000031367657,0.0006759069,0.00317581,0.0006709508,0.000118274555,0.000011547987,0.00006021193,0.0075053405],"genre_scores_gemma":[0.9929177,0.000023748851,0.000024268093,0.0007864792,0.000023624201,0.000013521982,0.0000017840465,0.00000472881,0.0062041255],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993686,0.00005181061,0.00010641534,0.00025070674,0.00010585282,0.000116588104],"domain_scores_gemma":[0.99959743,0.00020153877,0.000030154093,0.000112920185,0.000029106344,0.000028827088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010402251,0.00006988555,0.000075925294,0.00009691108,0.00015865076,0.000059216636,0.00008158803,0.000035507644,0.000062610234],"category_scores_gemma":[0.0003969408,0.00006060708,0.000030132249,0.00021412798,0.00013257856,0.00010846959,0.00006236219,0.00007234055,0.00003485936],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004908347,0.00016179969,0.021003736,0.00006537279,0.000009245721,0.000019016954,0.00002115642,0.000006782265,0.69817615,0.25631687,0.0017060799,0.022464713],"study_design_scores_gemma":[0.003291355,0.00022927888,0.4554079,0.0005702918,0.00013409488,0.0002297928,0.0005112024,0.027219748,0.1616176,0.262164,0.087318495,0.00130626],"about_ca_topic_score_codex":0.00000866221,"about_ca_topic_score_gemma":0.000008250757,"teacher_disagreement_score":0.53655857,"about_ca_system_score_codex":0.000012990128,"about_ca_system_score_gemma":0.000021695545,"threshold_uncertainty_score":0.2471485},"labels":[],"label_agreement":null},{"id":"W4410590614","doi":"10.7554/elife.101850.2","title":"Assemblies, synapse clustering and network topology interact with plasticity to explain structure-function relationships of the cortical connectome","year":2025,"lang":"en","type":"preprint","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Connectome; Synapse; Neuroscience; Cluster analysis; Functional connectivity; Function (biology); Topology (electrical circuits); Computer science; Psychology; Mathematics; Biology; Artificial intelligence; Combinatorics; Evolutionary biology","score_opus":0.031922469345311205,"score_gpt":0.26609932510119033,"score_spread":0.23417685575587913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410590614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9691537,0.000013184761,0.027462589,0.00070655096,0.0018225403,0.00046049204,0.000073604075,0.000041608295,0.00026571605],"genre_scores_gemma":[0.9983879,0.000009682058,0.0002528993,0.0010017026,0.00013699943,0.000020206206,0.000007882874,0.000010931382,0.00017182564],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9984053,0.0003844959,0.0003028676,0.00047818132,0.00022587768,0.00020329774],"domain_scores_gemma":[0.9980149,0.0013857239,0.00019020634,0.00028067868,0.00006049347,0.00006797184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017275932,0.00019080489,0.0002784676,0.00008889206,0.00025107502,0.00005509192,0.00017303391,0.00017807359,0.000020131702],"category_scores_gemma":[0.001799655,0.00013058927,0.000043653465,0.00025078058,0.00011761931,0.000053827036,0.0007315476,0.00092753716,0.0000012800275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0039856317,0.00017801728,0.09031087,0.000798615,0.00020028294,0.00004068542,0.0011371218,0.6232015,0.19365825,0.08142995,0.0034514621,0.0016076079],"study_design_scores_gemma":[0.0015382437,0.0013653655,0.6887751,0.0018848962,0.000408973,0.00023125685,0.0002578321,0.25759092,0.034718674,0.009594973,0.002407241,0.0012264897],"about_ca_topic_score_codex":0.00003797833,"about_ca_topic_score_gemma":0.0005542267,"teacher_disagreement_score":0.59846425,"about_ca_system_score_codex":0.000056660945,"about_ca_system_score_gemma":0.00008129127,"threshold_uncertainty_score":0.53252757},"labels":[],"label_agreement":null},{"id":"W4410772152","doi":"10.1038/s44271-025-00268-9","title":"Semantic priming modulates the strength and direction of the Kanizsa illusion","year":2025,"lang":"en","type":"article","venue":"Communications Psychology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Illusion; Priming (agriculture); Cognitive psychology; Psychology; Neuroscience; Biology","score_opus":0.043485688230102654,"score_gpt":0.33483760164558646,"score_spread":0.29135191341548383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410772152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95676523,0.0003159968,0.0003271796,0.027058685,0.0005464402,0.00023773179,0.0000031541504,0.000031172545,0.014714377],"genre_scores_gemma":[0.9974493,0.00075076224,0.00007995394,0.0012307537,0.0000058150376,0.000012145776,0.0000010997367,0.0000031183322,0.0004670827],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99933225,0.0002740045,0.0001416529,0.00013585264,0.000045820478,0.00007040958],"domain_scores_gemma":[0.9983105,0.0004443466,0.00008213287,0.0011295384,0.000025686651,0.0000078105195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013613288,0.000051143204,0.0000641637,0.000048321253,0.0004725176,0.000013950505,0.0005516085,0.00003730132,0.000004208057],"category_scores_gemma":[0.00024654059,0.00003024426,0.000028282624,0.0003628549,0.00036686816,0.00003747534,0.0003720793,0.00016043696,0.0000016780701],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016412414,0.00018498805,0.003693229,0.000015660798,0.00001014273,1.04239334e-7,0.00038293906,0.000029332878,0.80797344,0.10427689,0.0007084379,0.08270842],"study_design_scores_gemma":[0.0008479793,0.0001203069,0.76005465,0.00016356465,0.00009799822,0.000064195185,0.00029241058,0.0641603,0.043990426,0.049576644,0.08038977,0.0002417704],"about_ca_topic_score_codex":0.000024306208,"about_ca_topic_score_gemma":0.000050538205,"teacher_disagreement_score":0.763983,"about_ca_system_score_codex":0.000009195995,"about_ca_system_score_gemma":0.000008847264,"threshold_uncertainty_score":0.36342713},"labels":[],"label_agreement":null},{"id":"W4410774195","doi":"10.1007/s00285-025-02234-9","title":"Bifurcations induced by nonlocal spatial memory versus nonlocal perception","year":2025,"lang":"en","type":"article","venue":"Journal of Mathematical Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"China Postdoctoral Science Foundation; Natural Science Foundation of Zhejiang Province; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Canada Research Chairs","keywords":"Statistical physics; Perception; Mathematics; Physics; Psychology; Neuroscience","score_opus":0.03509271998956717,"score_gpt":0.3142071195135985,"score_spread":0.2791143995240313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410774195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80023426,0.000011501086,0.18869375,0.0045605022,0.0017524495,0.0001437475,0.000011053368,0.000023963874,0.0045687966],"genre_scores_gemma":[0.9982772,0.000017793269,0.00057237415,0.00071318133,0.00015596805,0.000003734899,0.0000029529297,0.00000695541,0.00024987542],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998808,0.00017663675,0.00049451104,0.00017685932,0.0001524876,0.0001915033],"domain_scores_gemma":[0.9987002,0.00079718063,0.00020151513,0.00013682708,0.00008381542,0.000080461075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029629498,0.00011750228,0.00026182455,0.00015504422,0.00010233255,0.000026959353,0.0002266354,0.00015769755,0.00023833192],"category_scores_gemma":[0.001415864,0.00008534613,0.00012480876,0.00020406282,0.00014736301,0.00009276389,0.000058307294,0.00034978346,0.00008103824],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002418102,0.00024085294,0.000009644692,0.000018641947,0.000014130822,0.0000044760477,0.000038828548,0.0000069174876,0.9504748,0.016832244,0.0013163778,0.030801304],"study_design_scores_gemma":[0.017968358,0.012191893,0.0027598864,0.00054670183,0.00064637436,0.00097294396,0.0012693944,0.33687082,0.39289647,0.21271843,0.019483764,0.0016749407],"about_ca_topic_score_codex":0.0000047760523,"about_ca_topic_score_gemma":0.0000026992625,"teacher_disagreement_score":0.55757827,"about_ca_system_score_codex":0.00007968132,"about_ca_system_score_gemma":0.000075282864,"threshold_uncertainty_score":0.34803143},"labels":[],"label_agreement":null},{"id":"W4410812748","doi":"10.1089/brain.2025.0010","title":"Revisiting the Multilayer Network Framework for Electrophysiological Networks","year":2025,"lang":"en","type":"article","venue":"Brain Connectivity","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Brain Institute","funders":"","keywords":"Electrophysiology; Neuroscience; Computer science; Psychology","score_opus":0.02858049418243433,"score_gpt":0.2966708514328344,"score_spread":0.2680903572504001,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410812748","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3044678,0.0001017072,0.67298514,0.019142421,0.0012770825,0.0009207043,0.0000062964878,0.00019955357,0.000899268],"genre_scores_gemma":[0.9808855,0.000020070525,0.0007432165,0.016674712,0.0011798738,0.00012412788,0.0000021536123,0.000014156502,0.00035616188],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99826795,0.00039114096,0.0001924005,0.00055145496,0.00010600583,0.0004910556],"domain_scores_gemma":[0.9857401,0.013735432,0.00010435712,0.0003420381,0.000040642983,0.000037391983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006409414,0.00017171359,0.00021948843,0.000025831225,0.0007996063,0.00010785964,0.0002853124,0.00014431875,0.000017026718],"category_scores_gemma":[0.00786728,0.000114296956,0.0001667646,0.00053367316,0.0001057281,0.0000790844,0.00012609773,0.0004526338,0.0000048853794],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040595487,0.00004698822,0.00049992686,0.000026996662,0.000018006447,0.000004465331,0.000014651696,0.020941548,0.08365314,0.7929503,0.0053906087,0.09604743],"study_design_scores_gemma":[0.000492492,0.00021849503,0.016382998,0.00011212085,0.000026135382,0.00000782497,0.000014144024,0.6381985,0.0060544023,0.31302005,0.025118722,0.0003541078],"about_ca_topic_score_codex":0.0000057418615,"about_ca_topic_score_gemma":0.0000041741237,"teacher_disagreement_score":0.6764177,"about_ca_system_score_codex":0.000044444216,"about_ca_system_score_gemma":0.000027961465,"threshold_uncertainty_score":0.94184375},"labels":[],"label_agreement":null},{"id":"W4410943302","doi":"10.1038/s42003-025-08287-2","title":"Second-order threat conditioning in the amygdala-posterior piriform cortex network","year":2025,"lang":"en","type":"article","venue":"Communications Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Government of Canada","keywords":"Piriform cortex; Amygdala; Conditioning; Neuroscience; Order (exchange); Psychology; Mathematics; Business","score_opus":0.04044687825949731,"score_gpt":0.3230362588327361,"score_spread":0.2825893805732388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410943302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81070554,0.0007587937,0.0013998874,0.028696625,0.0009948736,0.00092464295,0.00006132825,0.00013476497,0.15632352],"genre_scores_gemma":[0.98940194,0.0002202793,0.00025537898,0.00920229,0.000022957773,0.00010543586,0.000078493125,0.000004943911,0.0007083074],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989684,0.00038380612,0.00022396202,0.00019295453,0.00003413919,0.00019672267],"domain_scores_gemma":[0.9977618,0.0010663177,0.00007289467,0.0010518667,0.000033552296,0.000013607784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025023604,0.00008744747,0.0001155854,0.00008042191,0.000471115,0.000044899243,0.0009556242,0.00007671325,0.00009537949],"category_scores_gemma":[0.00021057976,0.000064138185,0.000034905803,0.00063807436,0.00032166796,0.00007331515,0.0003070536,0.00029073603,0.000037425372],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003152679,0.00016558537,0.021796647,0.0000123817135,0.000011873595,0.0000024104309,0.00031838677,0.000086849366,0.08270749,0.872753,0.0036309357,0.018482909],"study_design_scores_gemma":[0.0016050941,0.00034231914,0.24934362,0.00012228993,0.000044768083,0.000116294446,0.0005699631,0.030079206,0.0021442582,0.23611745,0.4789457,0.00056901015],"about_ca_topic_score_codex":0.000018555238,"about_ca_topic_score_gemma":0.0005712011,"teacher_disagreement_score":0.63663554,"about_ca_system_score_codex":0.000030504332,"about_ca_system_score_gemma":0.00003993379,"threshold_uncertainty_score":0.36234832},"labels":[],"label_agreement":null},{"id":"W4410981192","doi":"10.1016/b978-0-443-27380-3.00006-3","title":"The evolution of premotor, parietal and orbitofrontal cortex in early primates: Affordances, action maps and extended feedback control","year":2025,"lang":"en","type":"book-chapter","venue":"Evolution of Nervous Systems","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Affordance; Orbitofrontal cortex; Premotor cortex; Posterior parietal cortex; Action (physics); Neuroscience; Psychology; Communication; Cognitive psychology; Biology; Anatomy; Cognition; Physics; Prefrontal cortex; Dorsum","score_opus":0.011979348132556716,"score_gpt":0.2199603216040703,"score_spread":0.2079809734715136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410981192","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.708393,0.04727166,0.013473397,0.00068986375,0.019885542,0.015986463,0.0026417163,0.0005248752,0.19113348],"genre_scores_gemma":[0.95886564,0.0005185597,0.000012925076,0.0000071955274,0.00010664386,0.000031210002,0.000011281172,0.000026936183,0.040419586],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9977565,0.00014436821,0.0008054475,0.00056614744,0.00046007012,0.00026750143],"domain_scores_gemma":[0.9982849,0.00032026248,0.00087495625,0.0003218435,0.0001353898,0.00006268025],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00035250175,0.00032133167,0.00057318126,0.00024141966,0.00021052403,0.00006883563,0.00017723418,0.00031378085,0.0000024288738],"category_scores_gemma":[0.00012554866,0.0002608613,0.00010704892,0.00010615151,0.00039645552,0.00023448706,0.00008152362,0.00032442916,0.000002776962],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002018977,0.00018954679,0.0039425073,0.002765447,0.00014496405,0.000021938706,0.0002295445,0.00039345757,0.2005742,0.77872854,0.0013701831,0.009620704],"study_design_scores_gemma":[0.018525189,0.008008481,0.47771433,0.011746175,0.001135765,0.0012589102,0.0021108682,0.33148208,0.0021158194,0.10338908,0.0383117,0.004201611],"about_ca_topic_score_codex":0.0012874315,"about_ca_topic_score_gemma":0.00046370382,"teacher_disagreement_score":0.67533946,"about_ca_system_score_codex":0.0006125467,"about_ca_system_score_gemma":0.00017709764,"threshold_uncertainty_score":0.9999844},"labels":[],"label_agreement":null},{"id":"W4411001766","doi":"10.1101/2025.05.30.656684","title":"<i>In vivo</i> neural activity of electrosensory pyramidal cells: Biophysical characterization and phenomenological modeling","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Canadian Institutes of Health Research; Canada First Research Excellence Fund","keywords":"Bursting; Neuroscience; In vivo; NMDA receptor; Neural coding; Physics; Population; Conductance; Biological system; Biophysics; Biology; Receptor","score_opus":0.01914418068313194,"score_gpt":0.22114085718457688,"score_spread":0.20199667650144493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411001766","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950063,0.000020526786,0.002969129,0.0002154751,0.0008276916,0.0005046752,0.00031555482,0.00013251483,0.000008095517],"genre_scores_gemma":[0.99907017,0.0002199895,0.00012844197,0.00032855684,0.00015308482,0.000051143168,1.7644021e-7,0.0000356017,0.000012866603],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975484,0.00021805216,0.0004211174,0.0010969868,0.00027643132,0.000439024],"domain_scores_gemma":[0.9988867,0.00010910954,0.0002928913,0.0005055702,0.000102030746,0.00010369279],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018921764,0.0004124191,0.00055453763,0.00027994032,0.00010102896,0.00010447523,0.00030218833,0.00037915606,0.0000086377895],"category_scores_gemma":[0.00014286228,0.0004249912,0.000101824335,0.00050873257,0.00016086185,0.00024461668,0.00044019954,0.00081173604,0.0000022155787],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010118485,0.00020197443,0.00011234651,0.00020256925,0.0000082725155,0.00002049753,0.000005555213,0.001462237,0.99687153,0.0010069014,0.0000023347989,0.0000046234713],"study_design_scores_gemma":[0.00021543745,0.000054010405,0.001347406,0.000060916485,0.000018475826,1.506467e-8,3.5623063e-7,0.32025546,0.6777443,0.0000074883783,0.00003083896,0.00026527702],"about_ca_topic_score_codex":0.000020529233,"about_ca_topic_score_gemma":6.9923635e-7,"teacher_disagreement_score":0.3191272,"about_ca_system_score_codex":0.0001280904,"about_ca_system_score_gemma":0.00013607813,"threshold_uncertainty_score":0.9998202},"labels":[],"label_agreement":null},{"id":"W4411024748","doi":"10.1038/s41586-025-08929-9","title":"Multi-timescale reinforcement learning in the brain","year":2025,"lang":"en","type":"article","venue":"Nature","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada); McGill University; Mila - Quebec Artificial Intelligence Institute","funders":"National Institute of Neurological Disorders and Stroke; National Institute on Deafness and Other Communication Disorders; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Reinforcement; Reinforcement learning; Neuroscience; Computer science; Cognitive science; Psychology; Artificial intelligence; Social psychology","score_opus":0.012820193419799378,"score_gpt":0.2788490326420329,"score_spread":0.2660288392222335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411024748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85549307,0.00026250834,0.002080994,0.0811155,0.0018709505,0.000900391,0.000002983621,0.00018897808,0.05808463],"genre_scores_gemma":[0.96122366,0.000009099314,0.000034772962,0.02343524,0.00002137101,0.000009107015,0.000002350916,0.0000030822935,0.015261321],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994042,0.00008892951,0.00008144182,0.0001679242,0.00013406118,0.00012346511],"domain_scores_gemma":[0.9996029,0.00023680917,0.000022878698,0.0001190465,0.000008887254,0.000009450537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019075847,0.00005879028,0.00005040198,0.000062381165,0.00010710926,0.00003934085,0.00017906072,0.00021237743,0.000019349918],"category_scores_gemma":[0.0006572263,0.00003802765,0.000029478366,0.0003791913,0.000020152143,0.000054569686,0.00003947709,0.0015507751,0.00001459072],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000075811826,0.00012826046,0.0026736322,0.000041497744,0.000004146839,0.000052781153,0.00065157143,0.014590908,0.8841633,0.043490276,0.031860214,0.02226761],"study_design_scores_gemma":[0.0018139627,0.00015755517,0.049720474,0.000099142584,0.000009413974,0.000016106233,0.00023122983,0.33667886,0.051180568,0.0017871959,0.5579951,0.00031042402],"about_ca_topic_score_codex":0.000008209635,"about_ca_topic_score_gemma":0.000018665141,"teacher_disagreement_score":0.8329827,"about_ca_system_score_codex":0.00002206357,"about_ca_system_score_gemma":0.000014408756,"threshold_uncertainty_score":0.67374325},"labels":[],"label_agreement":null},{"id":"W4411046772","doi":"10.7554/elife.100123.3","title":"Imaging of brain electric field networks with spatially resolved EEG","year":2025,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"National Institute on Deafness and Other Communication Disorders; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Simons Foundation Autism Research Initiative","keywords":"Electroencephalography; Neuroscience; Neuroimaging; Electric field; Computer science; Physics; Biology","score_opus":0.007834464791171858,"score_gpt":0.23438146673551055,"score_spread":0.2265470019443387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411046772","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8394964,0.000133451,0.1308844,0.009759218,0.0007058962,0.00034257426,0.0000019729578,0.00013237682,0.018543757],"genre_scores_gemma":[0.9899341,0.000021979542,0.00010598468,0.008882363,0.000037796708,0.0000048174456,8.818492e-7,0.000007024685,0.001005056],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999285,0.000047836373,0.00013968417,0.00021069117,0.00015098267,0.000165831],"domain_scores_gemma":[0.9993405,0.000369471,0.000061935236,0.00016850966,0.000034048182,0.000025563124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010692531,0.00007563981,0.000101548525,0.00008834056,0.00007042574,0.000025079711,0.000106444044,0.00002712299,0.000016628097],"category_scores_gemma":[0.0003815163,0.00006102724,0.000030939438,0.0004887343,0.000018059574,0.000060190887,0.00003685119,0.00013695231,0.0000025429467],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029603965,0.0000717182,0.010004608,0.000026888863,0.000008550387,0.00003747536,0.000034457506,0.0037289932,0.9271721,0.008685526,0.014256741,0.03567689],"study_design_scores_gemma":[0.00084452145,0.00036268137,0.017027847,0.00010770302,0.000019936107,0.0000143068255,0.000009793744,0.421719,0.5513328,0.00050324097,0.007816359,0.00024181862],"about_ca_topic_score_codex":0.000042890966,"about_ca_topic_score_gemma":0.000025990143,"teacher_disagreement_score":0.41799,"about_ca_system_score_codex":0.0000127482335,"about_ca_system_score_gemma":0.000042912972,"threshold_uncertainty_score":0.24886186},"labels":[],"label_agreement":null},{"id":"W4411055989","doi":"10.1371/journal.pbio.3003180","title":"Sensory stimuli dominate over rhythmic electrical stimulation in modulating behavior","year":2025,"lang":"en","type":"article","venue":"PLoS Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"H2020 European Research Council; Max-Planck-Gesellschaft","keywords":"Entrainment (biomusicology); Stimulus (psychology); Rhythm; Transcranial alternating current stimulation; Sensory system; Neuroscience; Perception; Stimulation; Auditory perception; Auditory system; Sensory stimulation therapy; Psychology; Audiology; Physics; Cognitive psychology; Acoustics; Medicine; Transcranial magnetic stimulation","score_opus":0.03997709965079966,"score_gpt":0.3136231923991992,"score_spread":0.27364609274839957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411055989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982347,0.000012705859,0.00040335505,0.00015273935,0.00027496964,0.00029590263,0.000007226921,0.0000564675,0.0005619684],"genre_scores_gemma":[0.9987801,0.000008512407,0.000094804105,0.0005831564,0.000037708545,0.000034303863,0.0000072954795,0.0000075671587,0.0004465754],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998941,0.0001619813,0.0002166401,0.00037618447,0.00006065304,0.00024355555],"domain_scores_gemma":[0.99936587,0.00040597713,0.000055059467,0.00013285535,0.000017311255,0.000022954184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007895701,0.00010293359,0.00015125319,0.00021081607,0.000070744936,0.0000143932175,0.000079523,0.000116467505,0.00003087123],"category_scores_gemma":[0.0005014155,0.00009303736,0.000035199766,0.00036452405,0.0000509065,0.00006362505,0.000053303873,0.0002072742,0.000018249584],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051802872,0.00008921394,0.032442406,0.0000052099494,0.0000015251541,0.00001527912,0.0000108249715,0.0006279177,0.95275676,0.0035650828,0.00001039341,0.010423601],"study_design_scores_gemma":[0.00090257585,0.00016662013,0.2079661,0.000019211362,0.00001733821,0.00000955673,0.0000025095053,0.6958596,0.09021818,0.0045097335,0.00015018854,0.00017838768],"about_ca_topic_score_codex":0.000021668555,"about_ca_topic_score_gemma":0.000009914991,"teacher_disagreement_score":0.8625386,"about_ca_system_score_codex":0.00007509622,"about_ca_system_score_gemma":0.000019674908,"threshold_uncertainty_score":0.37939534},"labels":[],"label_agreement":null},{"id":"W4411085665","doi":"10.1038/s41537-025-00622-0","title":"The electroencephalography protocol for the Accelerating Medicines Partnership® Schizophrenia Program: Reliability and stability of measures","year":2025,"lang":"en","type":"article","venue":"Schizophrenia","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; University of Calgary; Hotchkiss Brain Institute; McGill University; Douglas College","funders":"U.S. Department of Health and Human Services; National Institutes of Health; Wellcome Trust; National Institute of Mental Health; Wellcome; Foundation for the National Institutes of Health","keywords":"P3a; Audiology; Electroencephalography; P3b; Schizophrenia (object-oriented programming); Mismatch negativity; Psychology; Habituation; Event-related potential; Medicine; Psychiatry","score_opus":0.045985003221660596,"score_gpt":0.3282805665551021,"score_spread":0.2822955633334415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411085665","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8000652,0.0001400828,0.00064998976,0.009442734,0.00050903857,0.18793836,0.0000227098,0.00029453041,0.0009373378],"genre_scores_gemma":[0.8770236,0.000011329715,0.0005523247,0.00028195838,0.00009140204,0.12198884,0.0000010517082,0.000013349995,0.000036166708],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99785715,0.00032156595,0.00050438725,0.0005655821,0.00035280688,0.00039853065],"domain_scores_gemma":[0.9963184,0.0025350584,0.00028392096,0.00059709867,0.0002055201,0.00006000867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014283401,0.00022392593,0.0002447599,0.000067959285,0.0010950658,0.00018123799,0.00047912032,0.000075671436,0.0000051000134],"category_scores_gemma":[0.0039255093,0.000112922746,0.00014525357,0.00073280866,0.0009388916,0.00014604726,0.000091343725,0.00032032083,3.67238e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.017630031,0.00058948086,0.019568186,0.00084448967,0.00009034804,0.0000017367254,0.0002682742,0.00005107973,0.31587484,0.08561568,0.002815285,0.5566506],"study_design_scores_gemma":[0.015114451,0.0032969888,0.13687032,0.00050192286,0.0003148344,0.00002252684,0.0006553649,0.050960608,0.52094656,0.20011596,0.070071064,0.0011294032],"about_ca_topic_score_codex":0.000018788396,"about_ca_topic_score_gemma":0.00020681403,"teacher_disagreement_score":0.5555212,"about_ca_system_score_codex":0.000022428947,"about_ca_system_score_gemma":0.00013303771,"threshold_uncertainty_score":0.8422472},"labels":[],"label_agreement":null},{"id":"W4411116334","doi":"10.1007/s11047-025-10020-1","title":"Connectomes inform function: from time-varying dynamics to animal behaviour","year":2025,"lang":"en","type":"article","venue":"Natural Computing","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Institute of Neurological Disorders and Stroke; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Connectome; Theory of computation; Computer science; Function (biology); Dynamics (music); Biological system; Neuroscience; Algorithm; Functional connectivity; Biology; Physics","score_opus":0.012350535242938684,"score_gpt":0.26276054804366694,"score_spread":0.2504100128007283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411116334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98951876,0.00003519762,0.0021015953,0.0010562899,0.0022256498,0.00022296104,0.000018603712,0.00028181553,0.0045391265],"genre_scores_gemma":[0.9940428,9.469288e-7,0.00043004053,0.0039684647,0.00016979204,0.0000021911499,0.000032628457,0.0000130603385,0.001340069],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986809,0.000042495063,0.00026930045,0.00044682817,0.00024504235,0.00031544289],"domain_scores_gemma":[0.9991446,0.00044771694,0.000083935294,0.00018827959,0.00006936034,0.00006611565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000111749665,0.00018027263,0.00018846635,0.00017221925,0.00039462082,0.00018476872,0.0002513831,0.00008289112,0.000041250685],"category_scores_gemma":[0.00035787592,0.00016800327,0.00008293183,0.00066822954,0.000029172972,0.00020893576,0.0002863741,0.00039966908,0.000110274515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008154463,0.0001369992,0.026656957,0.00005473688,0.00005299533,0.00007160481,0.00035544173,0.0036979301,0.7325945,0.02943233,0.005195346,0.20093569],"study_design_scores_gemma":[0.00065923494,0.00021585502,0.056628752,0.00011799018,0.000035841404,0.00001420143,0.00006382844,0.9229434,0.016716283,0.0009626641,0.0012127886,0.00042916948],"about_ca_topic_score_codex":0.00006579957,"about_ca_topic_score_gemma":0.00002006624,"teacher_disagreement_score":0.9192455,"about_ca_system_score_codex":0.0001540598,"about_ca_system_score_gemma":0.000035236702,"threshold_uncertainty_score":0.68509746},"labels":[],"label_agreement":null},{"id":"W4411120348","doi":"10.1038/s42003-025-08295-2","title":"The spatial layout of antagonistic brain regions is explicable based on geometric principles","year":2025,"lang":"en","type":"article","venue":"Communications Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; McGill University; Montreal Neurological Institute and Hospital","funders":"Centre For Medical Engineering, King’s College London; Engineering and Physical Sciences Research Council; National Institute for Health and Care Research; NIHR Maudsley Biomedical Research Centre; UK Research and Innovation","keywords":"Task (project management); Brain activity and meditation; Perspective (graphical); Psychology; Cognition; Cognitive psychology; Spatial distribution; Correlation; Spatial cognition; Neural activity; Spatial ability; Neuroscience; Computer science; Geography; Artificial intelligence; Mathematics; Electroencephalography","score_opus":0.08231852155378398,"score_gpt":0.3337124440043133,"score_spread":0.25139392245052933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411120348","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22453324,0.0013064152,0.119366035,0.46589592,0.0023381505,0.0027820773,0.0006321786,0.0004454467,0.18270053],"genre_scores_gemma":[0.9945767,0.0002845371,0.00019087562,0.0033600982,0.000009170029,0.00005997406,0.000023876612,0.0000051898037,0.0014895892],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99903554,0.0003281381,0.00023412568,0.0001967441,0.000055360197,0.00015006604],"domain_scores_gemma":[0.9938801,0.0042309198,0.00012261506,0.001691674,0.000053393647,0.000021328895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023444051,0.00007843185,0.00011350567,0.00021013543,0.00064100546,0.000022791575,0.0010261445,0.00006131025,0.000012227243],"category_scores_gemma":[0.002046068,0.00005563763,0.00005730092,0.0008364545,0.00048885023,0.000019543879,0.0002961701,0.00017240223,0.00001617453],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069243,0.00031310847,0.0037193,0.000013870594,0.000010857379,2.6152563e-7,0.000037935104,0.00033790764,0.082720086,0.88833874,0.003643814,0.020794896],"study_design_scores_gemma":[0.0006270158,0.0003932599,0.00770569,0.00004533961,0.000024788487,0.0000030286392,0.00004593243,0.3160892,0.03387198,0.021404572,0.6195888,0.000200382],"about_ca_topic_score_codex":0.00007185527,"about_ca_topic_score_gemma":0.00007211704,"teacher_disagreement_score":0.8669341,"about_ca_system_score_codex":0.000030986383,"about_ca_system_score_gemma":0.00007216854,"threshold_uncertainty_score":0.49301606},"labels":[],"label_agreement":null},{"id":"W4411134566","doi":"10.1038/s41514-025-00243-y","title":"Evaluating EEG complexity and spectral signatures in Alzheimer’s disease and frontotemporal dementia: evidence for rostrocaudal asymmetry","year":2025,"lang":"en","type":"article","venue":"npj Aging","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Frontotemporal dementia; Neuroscience; Electroencephalography; Neuroimaging; Psychology; Dementia; Alzheimer's disease; Disease; Medicine; Pathology","score_opus":0.15165848015188738,"score_gpt":0.3926849978644967,"score_spread":0.2410265177126093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411134566","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919671,0.0030592442,0.0020821502,0.001955865,0.00028287407,0.000468517,0.000014777285,0.000038075454,0.00013143168],"genre_scores_gemma":[0.9976807,0.000033832337,0.0011784045,0.0009963362,0.000040054492,0.000021546866,0.0000027072358,0.000007552519,0.00003883108],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99891466,0.000089922774,0.00017269565,0.0004367441,0.00015251798,0.00023343161],"domain_scores_gemma":[0.9993173,0.0004335079,0.000058145808,0.00010692923,0.000017664303,0.00006644443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033394273,0.000118760785,0.00012989066,0.00010195328,0.00021250788,0.00012030788,0.00008787451,0.000030513436,0.0000061585156],"category_scores_gemma":[0.000623217,0.00011396133,0.000031654716,0.00015081135,0.000090396476,0.00027006975,0.00010419224,0.00015162144,3.0297343e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010281631,0.0001573929,0.4205985,0.0004081571,0.000076494995,0.00005694656,0.00031316356,0.0014735401,0.4609828,0.033141494,0.001031196,0.080732144],"study_design_scores_gemma":[0.0009934192,0.000111740395,0.5560004,0.0002817272,0.00013284449,0.0000020845926,0.000049575123,0.41665873,0.00481465,0.020652877,0.00008046788,0.00022145621],"about_ca_topic_score_codex":0.00005863868,"about_ca_topic_score_gemma":0.00008063569,"teacher_disagreement_score":0.45616814,"about_ca_system_score_codex":0.000027462243,"about_ca_system_score_gemma":0.00003975002,"threshold_uncertainty_score":0.46472082},"labels":[],"label_agreement":null},{"id":"W4411149557","doi":"10.7554/elife.104996.2","title":"Intrinsic dynamic shapes responses to external stimulation in the human brain","year":2025,"lang":"en","type":"preprint","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Columbia College","funders":"","keywords":"Stimulation; Neuroscience; Brain stimulation; Human brain; Psychology; Physics","score_opus":0.04323045151074056,"score_gpt":0.339254854970361,"score_spread":0.29602440345962044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411149557","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99073505,0.000027481865,0.0012290304,0.0057271225,0.0006954344,0.0007368318,0.00006504487,0.00007492347,0.0007090615],"genre_scores_gemma":[0.98662204,0.000017954255,0.00009684119,0.010083408,0.00013133348,0.00008115044,0.000014067006,0.000013325997,0.0029399074],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99779767,0.00051863585,0.00034900574,0.0006320962,0.00046487994,0.00023772335],"domain_scores_gemma":[0.9984803,0.0009072857,0.00011989422,0.00040742726,0.00004100225,0.00004409605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060564704,0.00021990408,0.00020479831,0.0003768519,0.0001710757,0.00020150728,0.000535852,0.00013569777,0.00003127666],"category_scores_gemma":[0.0016093411,0.00017336872,0.00009058868,0.00035815136,0.00004192506,0.000066783796,0.0005401148,0.00064822705,0.00004048042],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006724276,0.0004242582,0.006259376,0.00027093364,0.00001429145,0.0003043612,0.0025706924,0.05439802,0.8626626,0.020448564,0.005015457,0.046958994],"study_design_scores_gemma":[0.0007459338,0.00027114458,0.87862176,0.0007054518,0.000026831349,0.000026711883,0.000068849484,0.09125152,0.0046915393,0.016572047,0.0062692873,0.0007489367],"about_ca_topic_score_codex":0.00010459249,"about_ca_topic_score_gemma":0.00023908286,"teacher_disagreement_score":0.8723624,"about_ca_system_score_codex":0.0001247648,"about_ca_system_score_gemma":0.000083634164,"threshold_uncertainty_score":0.7069771},"labels":[],"label_agreement":null},{"id":"W4411154986","doi":"10.3390/e27060608","title":"Generalized Derangetropy Functionals for Modeling Cyclical Information Flow","year":2025,"lang":"en","type":"article","venue":"Entropy","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of Toronto","funders":"","keywords":"Information theory; Statistical physics; Entropy (arrow of time); Nonlinear system; Scalar (mathematics); Gaussian; Applied mathematics; Computer science; Mathematics; Mutual information; Stochastic process; Artificial intelligence; Physics","score_opus":0.02563724693781293,"score_gpt":0.27151869718142596,"score_spread":0.24588145024361302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411154986","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23005083,0.000017664997,0.76456106,0.002548452,0.0013501564,0.00037144768,0.000032964825,0.00011374594,0.00095365907],"genre_scores_gemma":[0.985306,0.000034423152,0.005399249,0.007640097,0.00021071798,0.0001316456,0.00006661289,0.000009915331,0.0012013242],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921536,0.000035440364,0.00022195802,0.00018071501,0.00015434486,0.00019215539],"domain_scores_gemma":[0.9996189,0.000118471624,0.00004271692,0.00012703564,0.00005522155,0.000037664006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000087625136,0.00009624312,0.00010716697,0.00011436476,0.00021275393,0.00009549727,0.000095003896,0.00005343833,0.000054415777],"category_scores_gemma":[0.00038670094,0.000084475745,0.0000932991,0.00017780648,0.000017084065,0.00034379144,0.000028502262,0.00008014128,0.000047861606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063742767,0.000084543004,0.00011704888,0.000057870202,0.000018468945,0.0000011838715,0.00005676745,0.12381748,0.35003936,0.48548636,0.014249453,0.025434038],"study_design_scores_gemma":[0.0008446006,0.00003352831,0.00004142134,0.0000072353528,0.000009917322,0.0000016414195,0.0000057218026,0.9352428,0.018073756,0.014577261,0.031078933,0.00008322326],"about_ca_topic_score_codex":0.0000048894885,"about_ca_topic_score_gemma":0.0000012979682,"teacher_disagreement_score":0.81142527,"about_ca_system_score_codex":0.00005328896,"about_ca_system_score_gemma":0.00002777253,"threshold_uncertainty_score":0.34448206},"labels":[],"label_agreement":null},{"id":"W4411163069","doi":"10.1098/rsos.220497","title":"How strong is the rhythm of perception? A registered replication of Hickok <i>et al</i> . (2015)","year":2025,"lang":"en","type":"article","venue":"Royal Society Open Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; Western University","funders":"Max-Planck-Gesellschaft","keywords":"Replication (statistics); Rhythm; Psychology; Perception; Cognitive psychology; Computer science; Biology; Medicine; Neuroscience; Virology; Internal medicine","score_opus":0.03987702183671659,"score_gpt":0.33179954135473183,"score_spread":0.29192251951801523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411163069","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.757266,0.000047338628,0.014758737,0.20878282,0.00058229966,0.0017040666,0.000081664075,0.000050191655,0.016726889],"genre_scores_gemma":[0.9760834,0.00004922929,0.0007560598,0.013553671,0.000007700614,0.000022687153,0.0000014601383,0.000004777532,0.009521016],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983091,0.000074879565,0.00022448764,0.0006822535,0.0005060957,0.00020318996],"domain_scores_gemma":[0.9983232,0.00015295425,0.0002660177,0.0010437804,0.00017617978,0.0000378789],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015704161,0.00009503165,0.0001485525,0.0000256749,0.00041404457,0.0002913447,0.0014399115,0.000031119318,0.000021917385],"category_scores_gemma":[0.00056094985,0.00006683277,0.000115096394,0.0009438563,0.00094994484,0.00047132059,0.0006745513,0.00013849583,0.0000026776033],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020083779,0.00007048777,0.0006182657,0.000024937213,0.0000042399047,1.8706677e-7,0.000743636,0.00012459673,0.9152881,0.01629533,0.059387404,0.0074227676],"study_design_scores_gemma":[0.0016439176,0.0004921436,0.112184316,0.00030208312,0.00005800349,0.000020469119,0.004570437,0.33792835,0.41688105,0.00540009,0.11988349,0.00063565053],"about_ca_topic_score_codex":0.00016482564,"about_ca_topic_score_gemma":0.0000089743235,"teacher_disagreement_score":0.498407,"about_ca_system_score_codex":0.000069164824,"about_ca_system_score_gemma":0.00021803171,"threshold_uncertainty_score":0.3500111},"labels":[],"label_agreement":null},{"id":"W4411189906","doi":"10.1101/2025.06.09.658695","title":"Intrinsic plasticity underlies malleability of neural network heterogeneity","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Ottawa; University Health Network","funders":"National Research Council Canada","keywords":"Malleability; Plasticity; Psychology; Computer science; Neuroscience; Cognitive psychology; Physics; Computer security","score_opus":0.026209727758849232,"score_gpt":0.23653301890530629,"score_spread":0.21032329114645706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411189906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937726,0.00012251086,0.0013710632,0.0002261376,0.00297354,0.0007448488,0.0004245639,0.000340811,0.000023909382],"genre_scores_gemma":[0.9983324,0.000121522884,0.00061224535,0.00046147243,0.00034451566,0.00007149424,1.9651868e-7,0.000048367758,0.0000077801715],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9962497,0.0004216695,0.00077436026,0.001425884,0.0004833125,0.0006450956],"domain_scores_gemma":[0.99722254,0.0005393562,0.0005845156,0.0011419842,0.00031962656,0.00019197691],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042480975,0.00058835157,0.0007707933,0.00019832065,0.00024309389,0.00014562393,0.0007961059,0.0004721913,0.000028358105],"category_scores_gemma":[0.0011896376,0.0005998034,0.00029373073,0.000731802,0.0003550077,0.00015297432,0.001247668,0.0009823819,0.000013000747],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002075156,0.00032061563,0.016108612,0.0011085866,0.0000751995,0.000035411278,0.000004033037,0.014420959,0.9612071,0.006252579,0.00024653974,0.000012860304],"study_design_scores_gemma":[0.0006010353,0.00020796484,0.20659122,0.00042563025,0.00015565816,3.8147668e-8,9.710311e-7,0.020169234,0.76995593,0.00007911037,0.0007823674,0.0010308283],"about_ca_topic_score_codex":0.00004869784,"about_ca_topic_score_gemma":0.000014504305,"teacher_disagreement_score":0.19125114,"about_ca_system_score_codex":0.0002287813,"about_ca_system_score_gemma":0.0003829811,"threshold_uncertainty_score":0.99964535},"labels":[],"label_agreement":null},{"id":"W4411209042","doi":"10.1016/j.cell.2025.05.025","title":"Dopamine encodes deep network teaching signals for individual learning trajectories","year":2025,"lang":"en","type":"article","venue":"Cell","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; Engineering and Physical Sciences Research Council; Gatsby Charitable Foundation; Medical Research Council; Canadian Institute for Advanced Research; Royal Society; UK Research and Innovation; Wellcome Trust; European Research Council; Human Frontier Science Program","keywords":"Biology; Optogenetics; Dopamine; Neuroscience; Dopaminergic; Associative learning; Machine learning; Artificial intelligence; Stimulus (psychology); Cognitive psychology; Computer science; Psychology","score_opus":0.02159981098291369,"score_gpt":0.26036447054448025,"score_spread":0.23876465956156656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411209042","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92717475,0.00017725436,0.052593954,0.00032828507,0.0016006447,0.00041061873,0.000009689514,0.00018926119,0.017515542],"genre_scores_gemma":[0.9905472,0.0000129753635,0.00060761475,0.00056976365,0.00022395037,0.000025091935,0.000010162667,0.0000119719,0.007991275],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991117,0.000102528364,0.00014672398,0.00027520471,0.00010817004,0.00025565305],"domain_scores_gemma":[0.9989905,0.00081018027,0.00006180818,0.000090999536,0.000015866663,0.00003066231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028958524,0.00010474351,0.000116906616,0.000053203057,0.00044594816,0.00010240222,0.00015523788,0.000047258727,0.000017350749],"category_scores_gemma":[0.0004095196,0.00009450953,0.00006122797,0.00016353674,0.00003552637,0.000099017176,0.000054273023,0.00022957627,0.000006326243],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006865807,0.00008413159,0.0017282414,0.00010173737,0.000008309794,0.0000057339544,0.00034139023,0.029904353,0.93193275,0.008741144,0.0025566777,0.024526898],"study_design_scores_gemma":[0.0013413613,0.00064462505,0.002139627,0.000103406746,0.000090972644,0.0000063426987,0.00038422196,0.11378788,0.7201958,0.0151692815,0.14553787,0.00059865],"about_ca_topic_score_codex":0.0000047465846,"about_ca_topic_score_gemma":0.0000059686045,"teacher_disagreement_score":0.21173696,"about_ca_system_score_codex":0.000017164286,"about_ca_system_score_gemma":0.000019333393,"threshold_uncertainty_score":0.3853987},"labels":[],"label_agreement":null},{"id":"W4411272964","doi":"10.1097/wnp.0000000000001177","title":"Alpha Rhythm, Alpha Coma, and Entropy in EEG","year":2025,"lang":"en","type":"article","venue":"Journal of Clinical Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Alpha rhythm; Electroencephalography; Alpha (finance); Rhythm; Coma (optics); Psychology; Medicine; Physics; Neuroscience; Internal medicine; Surgery; Optics","score_opus":0.04223449618347794,"score_gpt":0.3652214128262337,"score_spread":0.3229869166427558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411272964","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933528,0.000042615713,0.00007546515,0.0035178526,0.0026058091,0.000081469254,0.0000017760328,0.000008771295,0.00031345626],"genre_scores_gemma":[0.98984265,0.0009283652,0.000074240364,0.008697299,0.00020621583,9.438608e-7,2.497008e-7,0.000008243261,0.00024181428],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99758273,0.0006567827,0.0011129159,0.00030033835,0.00013385463,0.00021338115],"domain_scores_gemma":[0.99691015,0.002340909,0.00043338482,0.00016209029,0.000057693334,0.00009579607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033861547,0.00012268996,0.00054806215,0.000165515,0.000051930852,0.0000277166,0.0002150948,0.00011073948,0.00002046683],"category_scores_gemma":[0.003210589,0.00009215394,0.0001692652,0.00025612247,0.00024948784,0.00015678091,0.00012214345,0.0007351005,0.000010607546],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014747748,0.00047494288,0.007394037,0.00002800758,0.000015429177,0.00079252897,0.000011697577,0.0001534687,0.944646,0.011857252,0.0011996528,0.031952217],"study_design_scores_gemma":[0.0039092684,0.0031136307,0.935544,0.000078483135,0.00003440454,0.00033750135,0.000012441941,0.007281652,0.0041304743,0.024370965,0.02098555,0.00020159667],"about_ca_topic_score_codex":0.000003247903,"about_ca_topic_score_gemma":0.0000018373449,"teacher_disagreement_score":0.9405155,"about_ca_system_score_codex":0.000010277955,"about_ca_system_score_gemma":0.000069675014,"threshold_uncertainty_score":0.3843607},"labels":[],"label_agreement":null},{"id":"W4411302122","doi":"10.1016/j.jneumeth.2025.110510","title":"Making oscillation detection more robust","year":2025,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta","funders":"Hydrocephalus Canada; Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Oscillation (cell signaling); Computer science; Artificial intelligence; Psychology; Biology","score_opus":0.1390966598198325,"score_gpt":0.42514928253263745,"score_spread":0.28605262271280496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411302122","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30761936,0.000022043623,0.6846178,0.0011636472,0.0052712243,0.00009950329,8.32911e-7,0.000029558307,0.0011759708],"genre_scores_gemma":[0.97661346,0.0000406192,0.019761486,0.0029513496,0.00011659781,0.0000015818895,3.3017134e-8,0.00000923397,0.00050566107],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980876,0.0005285064,0.00046218353,0.00029872137,0.0003978417,0.00022513844],"domain_scores_gemma":[0.9986984,0.0004932056,0.00044855772,0.00017950307,0.00012145125,0.0000588408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013929601,0.00012312905,0.0001947382,0.0004920798,0.00031451214,0.00015786842,0.00036522598,0.00005545076,0.0000052942914],"category_scores_gemma":[0.004716137,0.00009867396,0.00013160298,0.0014721553,0.00015480877,0.0005814134,0.00008128342,0.00034900953,0.0000012075599],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003356309,0.000023794699,0.000118597716,0.000007765573,5.5392246e-7,0.000014882621,0.000025010531,0.004961847,0.9207825,0.00058735185,0.000033834072,0.07341032],"study_design_scores_gemma":[0.00037237216,0.00033276502,0.02503098,0.00007636164,0.00002851981,0.0005117431,0.000048147773,0.20764029,0.7477388,0.0045809974,0.013456762,0.00018231594],"about_ca_topic_score_codex":0.0000011104877,"about_ca_topic_score_gemma":7.138361e-7,"teacher_disagreement_score":0.66899407,"about_ca_system_score_codex":0.00008247751,"about_ca_system_score_gemma":0.00007707726,"threshold_uncertainty_score":0.5645997},"labels":[],"label_agreement":null},{"id":"W4411333617","doi":"10.1017/9781009546508.011","title":"Pattern systems and the brain","year":2025,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Neuroscience; Psychology","score_opus":0.020825058534274566,"score_gpt":0.19309317003067983,"score_spread":0.17226811149640525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411333617","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00018730848,0.00007887793,0.00052457023,0.0002787746,0.00067440874,0.0005845423,0.00022832322,0.00008349191,0.9973597],"genre_scores_gemma":[0.009200941,0.00012430213,8.3105715e-7,0.0008268705,0.000078158926,9.966897e-7,0.0000073632395,0.000017860399,0.9897427],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99891275,0.00010744434,0.00012964326,0.00048261145,0.000198522,0.0001690539],"domain_scores_gemma":[0.9988309,0.0005287239,0.00014908853,0.00038792266,0.000039837076,0.00006353585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011723987,0.00023804914,0.0002792649,0.00010002866,0.00028679447,0.0001092935,0.00035375723,0.00017924885,0.0000010828188],"category_scores_gemma":[0.00004539432,0.00019301272,0.000116383875,0.0000078024705,0.0004200067,0.00004942695,0.0003933587,0.00039160028,0.0000049147575],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000078405414,0.0000019370136,4.4232976e-7,0.000079780795,0.000018248711,0.00010264013,0.000012612219,0.000002340118,0.00026245334,0.9647318,0.03238424,0.0023251034],"study_design_scores_gemma":[0.0009298198,0.000024482519,0.0000039810757,0.00014936918,0.00008758815,0.000032117085,0.000010827503,0.0031478065,0.00015135894,0.000027700267,0.9952046,0.00023031044],"about_ca_topic_score_codex":0.00017328521,"about_ca_topic_score_gemma":0.0000018228578,"teacher_disagreement_score":0.9647041,"about_ca_system_score_codex":0.00006036277,"about_ca_system_score_gemma":0.000036329508,"threshold_uncertainty_score":0.78708297},"labels":[],"label_agreement":null},{"id":"W4411340734","doi":"10.7554/elife.107099","title":"Local Inhibitory Dynamics Underpin Temporal Integration and Functional Segregation between Barrels and Septa in the Mouse Barrel Cortex","year":2025,"lang":"en","type":"preprint","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"European Research Council; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Barrel cortex; Barrel (horology); Inhibitory postsynaptic potential; Neuroscience; Dynamics (music); Order (exchange); Cortex (anatomy); Biology; Physics; Geography; Somatosensory system; Acoustics","score_opus":0.031412721654326695,"score_gpt":0.263267718181186,"score_spread":0.2318549965268593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411340734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9624802,0.00011589383,0.032614652,0.002291436,0.00090909196,0.00073601963,0.00026731566,0.00007970941,0.00050569983],"genre_scores_gemma":[0.9970618,0.00017493467,0.00006900091,0.0012091354,0.00016302655,0.000048037542,0.00045079904,0.000016582919,0.0008066948],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978901,0.00032674504,0.00041327497,0.0007077902,0.00045947876,0.00020261345],"domain_scores_gemma":[0.99898946,0.00041096596,0.00018415156,0.00028853846,0.000058607555,0.00006828689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004913149,0.00028928413,0.00026686105,0.0002297058,0.0002070512,0.0002083177,0.00014382141,0.00032074147,0.0000067409833],"category_scores_gemma":[0.00025424737,0.00023055928,0.00006462484,0.00023142523,0.00023069762,0.00018332856,0.00033296988,0.0010002926,0.0000039461456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013532655,0.001133644,0.22016983,0.0023760875,0.00024644833,0.00020629803,0.0068812487,0.022913123,0.07947087,0.22483417,0.025016027,0.415399],"study_design_scores_gemma":[0.0014936515,0.00023080561,0.2609339,0.0004727044,0.000110339395,0.00004379554,0.0009435386,0.708686,0.0063000517,0.018667107,0.0011606571,0.000957436],"about_ca_topic_score_codex":0.00022673103,"about_ca_topic_score_gemma":0.0007508718,"teacher_disagreement_score":0.6857729,"about_ca_system_score_codex":0.00019112082,"about_ca_system_score_gemma":0.00015917885,"threshold_uncertainty_score":0.9401935},"labels":[],"label_agreement":null},{"id":"W4411340932","doi":"10.7554/elife.107099.1.sa4","title":"eLife Assessment: Local Inhibitory Dynamics Underpin Temporal Integration and Functional Segregation between Barrels and Septa in the Mouse Barrel Cortex","year":2025,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Barrel cortex; Barrel (horology); Dynamics (music); Inhibitory postsynaptic potential; Order (exchange); Cortex (anatomy); Neuroscience; Biology; Geography; Physics; Sensory system; Archaeology","score_opus":0.03690997390582496,"score_gpt":0.3049412456532819,"score_spread":0.26803127174745695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411340932","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11444554,0.012859279,0.39851207,0.37950507,0.018476145,0.017217036,0.006958765,0.0010985011,0.050927605],"genre_scores_gemma":[0.8353284,0.01107909,0.00028129705,0.023576882,0.0006260737,0.00025542412,0.009071493,0.000091408925,0.11968993],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967716,0.0005357295,0.00069567695,0.0009182371,0.0007909663,0.00028780993],"domain_scores_gemma":[0.9983661,0.0007658806,0.00029867003,0.0003542707,0.00012256496,0.000092471884],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00088673044,0.00045676646,0.00053437194,0.00031092294,0.00028237174,0.0002481728,0.00021943756,0.00037491816,0.000051889238],"category_scores_gemma":[0.00032379062,0.00032856967,0.00010856301,0.0005315861,0.00026555473,0.0003514443,0.00017996984,0.0011710522,0.000005252789],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000887039,0.00029782247,0.0045213033,0.003453812,0.000077509365,0.00003729489,0.00012425332,0.00015185053,0.0025572488,0.06291735,0.6709307,0.25484213],"study_design_scores_gemma":[0.004548734,0.0011902244,0.08363708,0.00844683,0.0010269172,0.00020973559,0.0011028148,0.57701564,0.00090980856,0.01630583,0.30192125,0.003685121],"about_ca_topic_score_codex":0.00033358604,"about_ca_topic_score_gemma":0.00189189,"teacher_disagreement_score":0.7208829,"about_ca_system_score_codex":0.0003217657,"about_ca_system_score_gemma":0.00032540277,"threshold_uncertainty_score":0.9999166},"labels":[],"label_agreement":null},{"id":"W4411341666","doi":"10.7554/elife.107099.1","title":"Local Inhibitory Dynamics Underpin Temporal Integration and Functional Segregation between Barrels and Septa in the Mouse Barrel Cortex","year":2025,"lang":"en","type":"preprint","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Barrel cortex; Barrel (horology); Inhibitory postsynaptic potential; Dynamics (music); Neuroscience; Order (exchange); Cortex (anatomy); Biology; Physics; Geography; Somatosensory system; Business","score_opus":0.031412721654326695,"score_gpt":0.263267718181186,"score_spread":0.2318549965268593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411341666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9624802,0.00011589383,0.032614652,0.002291436,0.00090909196,0.00073601963,0.00026731566,0.00007970941,0.00050569983],"genre_scores_gemma":[0.9970618,0.00017493467,0.00006900091,0.0012091354,0.00016302655,0.000048037542,0.00045079904,0.000016582919,0.0008066948],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978901,0.00032674504,0.00041327497,0.0007077902,0.00045947876,0.00020261345],"domain_scores_gemma":[0.99898946,0.00041096596,0.00018415156,0.00028853846,0.000058607555,0.00006828689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004913149,0.00028928413,0.00026686105,0.0002297058,0.0002070512,0.0002083177,0.00014382141,0.00032074147,0.0000067409833],"category_scores_gemma":[0.00025424737,0.00023055928,0.00006462484,0.00023142523,0.00023069762,0.00018332856,0.00033296988,0.0010002926,0.0000039461456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013532655,0.001133644,0.22016983,0.0023760875,0.00024644833,0.00020629803,0.0068812487,0.022913123,0.07947087,0.22483417,0.025016027,0.415399],"study_design_scores_gemma":[0.0014936515,0.00023080561,0.2609339,0.0004727044,0.000110339395,0.00004379554,0.0009435386,0.708686,0.0063000517,0.018667107,0.0011606571,0.000957436],"about_ca_topic_score_codex":0.00022673103,"about_ca_topic_score_gemma":0.0007508718,"teacher_disagreement_score":0.6857729,"about_ca_system_score_codex":0.00019112082,"about_ca_system_score_gemma":0.00015917885,"threshold_uncertainty_score":0.9401935},"labels":[],"label_agreement":null},{"id":"W4411429157","doi":"10.1101/2025.06.05.657711","title":"Widespread cortical representations of innate behaviors in the mouse","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Neuroscience; Cortical neurons; Sensory system; Cortex (anatomy); Psychology; Premovement neuronal activity; Barrel cortex; Motor cortex; Biology; Stimulation","score_opus":0.026269723169008705,"score_gpt":0.2697033369036502,"score_spread":0.2434336137346415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411429157","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971453,0.000033791366,0.0002702627,0.0005130121,0.00080724986,0.0007596699,0.0003126389,0.000108690816,0.000049417853],"genre_scores_gemma":[0.9988534,0.000100104895,0.00023506845,0.00051248766,0.00005581716,0.0001880249,2.9461646e-7,0.000028298016,0.000026505424],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99740195,0.00044576055,0.0005942994,0.00079380866,0.000432662,0.0003315286],"domain_scores_gemma":[0.99778265,0.0005076584,0.0003049506,0.0011773272,0.00015541112,0.000072020346],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005355828,0.0002922032,0.0003464798,0.00032177503,0.00013196925,0.000121614394,0.0007766483,0.00025830194,0.000016677403],"category_scores_gemma":[0.0015284143,0.00025072473,0.00013371391,0.00092055625,0.00021134723,0.000120016826,0.00041683513,0.00096770417,0.000010369111],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024557552,0.00022537845,0.005845499,0.00009951233,0.00000738294,0.000039964892,0.000020469373,0.00024461639,0.9867266,0.0066076242,0.00015686745,0.0000015660971],"study_design_scores_gemma":[0.00033302413,0.00004929866,0.1162106,0.00017277023,0.00007118679,2.3015618e-8,0.0000070656642,0.0020148077,0.8804281,0.000019670955,0.00034835647,0.00034508543],"about_ca_topic_score_codex":0.00014025251,"about_ca_topic_score_gemma":0.000011099225,"teacher_disagreement_score":0.11036511,"about_ca_system_score_codex":0.00009411643,"about_ca_system_score_gemma":0.0002545328,"threshold_uncertainty_score":0.9999945},"labels":[],"label_agreement":null},{"id":"W4411437200","doi":"10.7554/elife.101105.2","title":"Ultraslow serotonin oscillations in the hippocampus delineate substates across NREM and waking","year":2025,"lang":"en","type":"preprint","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Douglas Mental Health University Institute","funders":"","keywords":"Non-rapid eye movement sleep; Hippocampal formation; Neuroscience; Hippocampus; Local field potential; Physics; Psychology; Electroencephalography","score_opus":0.04225865505897061,"score_gpt":0.32162587338651966,"score_spread":0.27936721832754907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411437200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99500006,0.0001305685,0.00034002637,0.002040519,0.0008432871,0.00062715187,0.00016806577,0.00007127697,0.0007790659],"genre_scores_gemma":[0.99601024,0.00084004534,0.000109350076,0.0025210595,0.00009989738,0.00008184,0.000029078357,0.00001276887,0.00029571643],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998241,0.00022230521,0.00032070358,0.00059827603,0.0003084557,0.00030927645],"domain_scores_gemma":[0.9987749,0.0006221584,0.00013451472,0.00037657237,0.000051872383,0.000040012095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052316766,0.0002235541,0.00020846653,0.000088781184,0.00029312455,0.00028730134,0.00029109386,0.00014973515,0.00000611668],"category_scores_gemma":[0.0004640633,0.00016675232,0.00006901952,0.00030871382,0.00009852319,0.00008091247,0.00031551518,0.00066834403,0.000008218469],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053287693,0.00089962565,0.14579573,0.0021276583,0.00011798211,0.00075764384,0.043375473,0.1643183,0.21560922,0.017892051,0.00592824,0.4026452],"study_design_scores_gemma":[0.0028384482,0.0002474666,0.16986501,0.0018979013,0.00013119189,0.000284589,0.002405445,0.6298042,0.05628486,0.0850379,0.048315145,0.0028878744],"about_ca_topic_score_codex":0.00013369386,"about_ca_topic_score_gemma":0.00038858043,"teacher_disagreement_score":0.46548587,"about_ca_system_score_codex":0.000045158158,"about_ca_system_score_gemma":0.00006376804,"threshold_uncertainty_score":0.67999625},"labels":[],"label_agreement":null},{"id":"W4411448495","doi":"10.1007/s11229-025-05103-6","title":"Three arguments against metaphysical structuralism in consciousness research","year":2025,"lang":"en","type":"article","venue":"Synthese","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Azrieli Foundation; Tel Aviv University","keywords":"Structuralism (philosophy of science); Metaphysics; Consciousness; Epistemology; Philosophy; Philosophy of science; Counterintuitive; Sociology","score_opus":0.061318589047338994,"score_gpt":0.3483676215211022,"score_spread":0.2870490324737632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411448495","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98874366,0.000016044025,0.000061325416,0.0015728833,0.00050613744,0.00027310217,0.000010759117,0.000040778083,0.008775337],"genre_scores_gemma":[0.99879366,0.00001604844,0.000026867652,0.00048405124,0.000032877833,0.000031878757,0.0000014350798,0.000008839834,0.00060435216],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985053,0.00021667947,0.00016995323,0.0004168639,0.00034331816,0.00034789002],"domain_scores_gemma":[0.99881625,0.00077189226,0.000025892017,0.00030106696,0.00003949742,0.000045371267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037997315,0.00010428413,0.00015424743,0.0002799667,0.00014861391,0.00007826671,0.00031006656,0.00005489729,0.000029084891],"category_scores_gemma":[0.0010362002,0.00008414165,0.00004994348,0.00095538143,0.00021390979,0.00013274317,0.00016117336,0.00033628836,0.00006126474],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063251646,0.00009912554,0.0018954559,0.000025805111,0.000006273865,0.00005949669,0.00009736463,0.0000543412,0.8941663,0.07091235,0.00041489533,0.03220535],"study_design_scores_gemma":[0.0013155489,0.00011081386,0.052127462,0.00028173573,0.000015666097,0.00000856387,0.00026504995,0.037338346,0.6434417,0.25574332,0.008787621,0.00056422275],"about_ca_topic_score_codex":0.00010014158,"about_ca_topic_score_gemma":0.00021191574,"teacher_disagreement_score":0.25072464,"about_ca_system_score_codex":0.00007409896,"about_ca_system_score_gemma":0.00004537308,"threshold_uncertainty_score":0.34311968},"labels":[],"label_agreement":null},{"id":"W4411488586","doi":"10.7554/elife.93191.4","title":"Evidence from pupillometry, fMRI, and RNN modelling shows that gain neuromodulation mediates task-relevant perceptual switches","year":2025,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Health and Medical Research Council; Australian Research Council","keywords":"Perception; Neuromodulation; Neuroscience; Functional magnetic resonance imaging; Pupillometry; Stimulus (psychology); Psychology; Magnetoencephalography; Computer science; Cognitive psychology; Artificial intelligence; Electroencephalography; Pupil","score_opus":0.07634871707049697,"score_gpt":0.2710314235401769,"score_spread":0.19468270646967994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411488586","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97397107,0.00049474626,0.022740174,0.0015356087,0.00078850775,0.00021142942,0.000025768495,0.00011090288,0.00012179929],"genre_scores_gemma":[0.99623764,0.001234341,0.00031351717,0.001721334,0.00012931827,0.000013378762,0.000010110804,0.00001754924,0.00032281398],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983479,0.00011408949,0.00023758305,0.00063621294,0.00041111858,0.00025311287],"domain_scores_gemma":[0.99850124,0.0010230512,0.0000882817,0.0002616459,0.0000381565,0.00008761424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023267399,0.00018963257,0.00019377471,0.00016234936,0.00022523101,0.00016404684,0.0001654703,0.000085003696,0.000042340525],"category_scores_gemma":[0.0008935682,0.00016611203,0.00005610675,0.00031823432,0.00009245911,0.00042385704,0.00014269304,0.00021906107,0.000027130563],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005949826,0.00003824266,0.011593634,0.000022931463,0.000006619283,0.000012748578,0.0005102855,0.010910212,0.9696885,0.00037281154,0.000550787,0.00623373],"study_design_scores_gemma":[0.00024798594,0.000069448215,0.014517246,0.00014714399,0.000027155802,0.0000047908293,0.0001462774,0.8551683,0.12721792,0.0018595337,0.0003587868,0.0002354079],"about_ca_topic_score_codex":0.00018703305,"about_ca_topic_score_gemma":0.00003269183,"teacher_disagreement_score":0.84425807,"about_ca_system_score_codex":0.00003755725,"about_ca_system_score_gemma":0.0000316967,"threshold_uncertainty_score":0.6773852},"labels":[],"label_agreement":null},{"id":"W4411605660","doi":"10.7554/elife.105482.1","title":"Gamma Synchrony Mediates Figure-Ground Perception","year":2025,"lang":"en","type":"preprint","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Science North","funders":"","keywords":"Figure–ground; Perception; Common ground; Psychology; Physics; Cognitive psychology; Computer science; Communication; Neuroscience","score_opus":0.03087364624605344,"score_gpt":0.28172125228674644,"score_spread":0.250847606040693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411605660","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96731406,0.00022431665,0.000910711,0.0027615877,0.008296218,0.0006886385,0.00023469058,0.00043648214,0.019133272],"genre_scores_gemma":[0.9752472,0.0018516768,0.00013673434,0.0039022337,0.00097602245,0.00009231827,0.00013870755,0.00002846692,0.017626623],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99796456,0.00014178903,0.0003065492,0.00080685323,0.0004887226,0.00029152216],"domain_scores_gemma":[0.99894845,0.00023547705,0.0001599882,0.000501284,0.00006478678,0.00008999556],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018514058,0.00028660923,0.0002750856,0.00016118499,0.00016609354,0.00017287376,0.0003338567,0.00030424853,0.00041985733],"category_scores_gemma":[0.0005791596,0.00026645508,0.00017086412,0.00016860628,0.000081836595,0.00009869459,0.00054616894,0.0006931799,0.00038848392],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025972904,0.0006460485,0.0015671245,0.0018598808,0.00008879184,0.000260073,0.0015314491,0.004676321,0.69703186,0.012290061,0.1802179,0.09957077],"study_design_scores_gemma":[0.0030631237,0.0008334871,0.10735952,0.0025626256,0.00051508704,0.000137494,0.00042352118,0.28807166,0.1165115,0.030472077,0.44435495,0.005694937],"about_ca_topic_score_codex":0.00007846601,"about_ca_topic_score_gemma":0.000020416266,"teacher_disagreement_score":0.58052033,"about_ca_system_score_codex":0.00016055656,"about_ca_system_score_gemma":0.0001348865,"threshold_uncertainty_score":0.9999788},"labels":[],"label_agreement":null},{"id":"W4411605694","doi":"10.7554/elife.105482","title":"Principles of gamma synchrony predict figure–ground perception in texture stimuli","year":2025,"lang":"en","type":"preprint","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Science North","funders":"","keywords":"Figure–ground; Perception; Communication; Psychology; Geography; Neuroscience","score_opus":0.047826975861335906,"score_gpt":0.2955072643944581,"score_spread":0.2476802885331222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411605694","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98435277,0.000139545,0.0007844264,0.000597007,0.0018001341,0.00078326894,0.00029824357,0.000113238246,0.0111313565],"genre_scores_gemma":[0.9898171,0.00066152215,0.00013461075,0.0005426806,0.00022947513,0.00005523032,0.00007565484,0.000018894318,0.008464857],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9978216,0.00016967647,0.00051763,0.00073737383,0.00049789617,0.0002557665],"domain_scores_gemma":[0.9988785,0.00020319092,0.00026811444,0.00052220107,0.00006841299,0.000059576683],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026158764,0.00027420398,0.00036914455,0.00025770502,0.000067719644,0.00005677806,0.00035198056,0.00035945475,0.00015272699],"category_scores_gemma":[0.0006761321,0.00025527217,0.00014768366,0.00025671785,0.00010128301,0.0000903353,0.0005529984,0.000793472,0.00002546155],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009659231,0.0019325326,0.032525666,0.006801191,0.00010385904,0.00030873797,0.0034331162,0.15586875,0.6978381,0.020052634,0.013914427,0.06625503],"study_design_scores_gemma":[0.0018643696,0.000493895,0.5005896,0.0032283205,0.0001224308,0.000031124495,0.00017932434,0.4122276,0.017750569,0.0017525584,0.060363326,0.0013968846],"about_ca_topic_score_codex":0.00013320787,"about_ca_topic_score_gemma":0.00009555177,"teacher_disagreement_score":0.68008757,"about_ca_system_score_codex":0.00018006716,"about_ca_system_score_gemma":0.0001983756,"threshold_uncertainty_score":0.9999899},"labels":[],"label_agreement":null},{"id":"W4411622842","doi":"10.1093/cercor/bhaf134","title":"Learning to combine top-down context and feed-forward representations under ambiguity with apical and basal dendrites","year":2025,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research; McGill University; Mila - Quebec Artificial Intelligence Institute; Montreal Neurological Institute and Hospital; Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Fonds de Recherche du Québec - Santé; Alliance de recherche numérique du Canada; Natural Sciences and Engineering Research Council of Canada; Institut de Valorisation des Données; Canada First Research Excellence Fund; Centre hospitalier universitaire Sainte-Justine; McGill University; Canadian Institute for Advanced Research; Nvidia; Google","keywords":"Context (archaeology); Computer science; Top-down and bottom-up design; Sensory system; Ambiguity; Neuroscience; Leverage (statistics); Process (computing); Biology; Artificial intelligence","score_opus":0.01486105500011545,"score_gpt":0.2655339300072597,"score_spread":0.25067287500714425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411622842","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922425,0.00001800977,0.0013480826,0.003992776,0.00017133422,0.000244482,0.0000064575484,0.0000664897,0.0019098409],"genre_scores_gemma":[0.99071634,0.0000119009455,0.000097074066,0.0034598806,0.000023304225,0.000013054217,0.0000054510565,0.000010006419,0.0056629987],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998986,0.000075862656,0.0001471406,0.00045049083,0.00013999495,0.0002005139],"domain_scores_gemma":[0.9994323,0.000227416,0.000039823524,0.00014369731,0.000039053848,0.00011766537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000067402114,0.00012552907,0.0001584429,0.000090220645,0.0003001991,0.00015036351,0.000079839054,0.00004517412,0.000040827854],"category_scores_gemma":[0.00024823908,0.00010335616,0.000023396631,0.0002901931,0.00014715634,0.00014722541,0.00013938473,0.00021223951,0.0000096797485],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007853963,0.00022609757,0.43035913,0.00011835847,0.000056199253,0.000060589824,0.0007275505,0.00039943066,0.415126,0.10971488,0.004568171,0.037858203],"study_design_scores_gemma":[0.001738439,0.00078007526,0.9626648,0.00007136134,0.000047506768,0.00005316826,0.0009177178,0.010415202,0.015342834,0.005883678,0.0017450423,0.00034020838],"about_ca_topic_score_codex":0.00010246791,"about_ca_topic_score_gemma":0.00020234442,"teacher_disagreement_score":0.53230566,"about_ca_system_score_codex":0.000021621612,"about_ca_system_score_gemma":0.000025577847,"threshold_uncertainty_score":0.4214742},"labels":[],"label_agreement":null},{"id":"W4411672387","doi":"10.1227/neu.0000000000003602","title":"In Reply: Resting State Functional Networks in Gliomas: Validation With Direct Electric Stimulation Using a New Tool for Planning Brain Resections","year":2025,"lang":"en","type":"article","venue":"Neurosurgery","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Provincia Autonoma di Trento","keywords":"Medicine; Resting state fMRI; Electric stimulation; Stimulation; Neuroscience; Radiology; Internal medicine","score_opus":0.05123474473945034,"score_gpt":0.3001471798285498,"score_spread":0.2489124350890995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411672387","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94728625,0.000016608506,0.050284743,0.0006839426,0.0009401319,0.0005521197,0.0000038998583,0.00008936856,0.00014291334],"genre_scores_gemma":[0.9971083,0.000004961589,0.00017035632,0.0016806257,0.00013163079,0.000052110656,0.000013112101,0.000028033845,0.000810888],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981022,0.00023158811,0.0004581041,0.0006084248,0.00021541776,0.0003842747],"domain_scores_gemma":[0.9967973,0.0027575984,0.00017461313,0.000184143,0.000046844776,0.000039495622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005557287,0.00016892549,0.00020441532,0.00095880404,0.0002355187,0.00013462461,0.0000678206,0.00006130949,0.0000041440744],"category_scores_gemma":[0.0026728478,0.0001711264,0.000054253425,0.0028834597,0.000020598225,0.00052320125,0.000030256673,0.00028128448,5.4459974e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006281951,0.000041473722,0.036993794,0.000016585307,0.0000020205982,0.000034245913,0.0000208741,0.7686057,0.19133683,0.00011313233,0.001090494,0.0011166229],"study_design_scores_gemma":[0.00087031885,0.000109197565,0.06641045,0.0001706548,0.000008776666,0.000028017466,0.0000040894597,0.9180183,0.012596021,0.0010280111,0.0005548904,0.00020127474],"about_ca_topic_score_codex":0.0001141075,"about_ca_topic_score_gemma":0.00004249534,"teacher_disagreement_score":0.17874081,"about_ca_system_score_codex":0.00016785119,"about_ca_system_score_gemma":0.00018911189,"threshold_uncertainty_score":0.69783324},"labels":[],"label_agreement":null},{"id":"W4411744302","doi":"10.1101/2025.06.25.661535","title":"The spatiotemporal evolution of TMS-evoked potentials reflects direct cortical activation","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Ministero dell'Università e della Ricerca; Regione Lombardia; European Commission; Canadian Institute for Advanced Research; Fondazione Regionale per la Ricerca Biomedica; Massachusetts General Hospital","keywords":"Neuroscience; Cortical neurons; Psychology","score_opus":0.020637923365870486,"score_gpt":0.24631226996692407,"score_spread":0.2256743466010536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411744302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98942757,0.00013621677,0.004818962,0.0007851199,0.0031161318,0.0010752205,0.00018239091,0.00031426657,0.00014410769],"genre_scores_gemma":[0.99906856,0.00014898964,0.00023792309,0.00013022631,0.00021779026,0.00009522669,3.3067988e-7,0.00004042224,0.000060523904],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9969274,0.0005194405,0.00065132667,0.0008992055,0.00058062904,0.00042200883],"domain_scores_gemma":[0.99726385,0.00053783244,0.000690392,0.0010067868,0.00039189437,0.00010925366],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007136116,0.00037340738,0.00042903153,0.00023620379,0.00046454533,0.00018789085,0.0005444424,0.00038714605,0.000009309414],"category_scores_gemma":[0.002641077,0.0003158851,0.00018781831,0.00076398463,0.00022121947,0.00018144374,0.00041390196,0.00072731107,0.000011578858],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010200627,0.00008667454,0.0005681755,0.00013743904,0.000026908074,0.0000043658324,0.0000024722012,0.00017983779,0.9909678,0.007734176,0.00018410702,0.000006014773],"study_design_scores_gemma":[0.00027475497,0.00007546369,0.07026361,0.00028724904,0.0000689111,8.498487e-9,0.0000012121053,0.0065980107,0.92078555,0.0000650669,0.0012290705,0.00035112118],"about_ca_topic_score_codex":0.0000990812,"about_ca_topic_score_gemma":0.0000054221896,"teacher_disagreement_score":0.0701823,"about_ca_system_score_codex":0.00041666246,"about_ca_system_score_gemma":0.00062597485,"threshold_uncertainty_score":0.9999293},"labels":[],"label_agreement":null},{"id":"W4411980032","doi":"10.7554/elife.104996.3","title":"Intrinsic dynamic shapes responses to external stimulation in the human brain","year":2025,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Columbia College","funders":"National Institutes of Health","keywords":"Neuroscience; Brain stimulation; Stimulation; Human brain; Biology; Physics; Computer science","score_opus":0.028255395126008262,"score_gpt":0.3256016688649939,"score_spread":0.29734627373898564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411980032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99085754,0.000010936294,0.0010234405,0.006891214,0.0001952553,0.00024770273,0.000004075721,0.000036671183,0.00073317095],"genre_scores_gemma":[0.9836344,0.0000032495493,0.00003581013,0.014188813,0.000034427325,0.0000183254,0.0000012549623,0.000005293796,0.002078398],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990416,0.00020824361,0.0001606682,0.0002371251,0.00020789957,0.0001444466],"domain_scores_gemma":[0.9992236,0.0005591977,0.000030030358,0.00014853514,0.00001716362,0.000021477255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032840887,0.00007752851,0.00007241411,0.00019138056,0.00014923653,0.00008297611,0.00018666041,0.000028374157,0.00002019313],"category_scores_gemma":[0.0009916304,0.000057586727,0.00002856564,0.0004666409,0.000026758735,0.00008457857,0.00005990355,0.0001304965,0.00003891081],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009980826,0.000056930683,0.0039029934,0.000007118958,9.190951e-7,0.000026250707,0.00023381758,0.0009269959,0.96698415,0.014889879,0.0010424329,0.011828714],"study_design_scores_gemma":[0.0003721364,0.00011767115,0.9655976,0.000052745436,0.000003440316,0.000007741479,0.0000410742,0.018933345,0.006677542,0.0038889057,0.004188313,0.000119479],"about_ca_topic_score_codex":0.000029373012,"about_ca_topic_score_gemma":0.00012598824,"teacher_disagreement_score":0.9616946,"about_ca_system_score_codex":0.00004533806,"about_ca_system_score_gemma":0.000020492866,"threshold_uncertainty_score":0.23483185},"labels":[],"label_agreement":null},{"id":"W4411981267","doi":"10.7554/elife.101850.3","title":"Assemblies, synapse clustering, and network topology interact with plasticity to explain structure-function relationships of the cortical connectome","year":2025,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute; Centre Hospitalier Universitaire Sainte-Justine","funders":"Alliance de recherche numérique du Canada; Fonds de Recherche du Québec - Santé; Board of the Swiss Federal Institutes of Technology; Institut de Valorisation des Données; Centre de recherche du CHU Sainte-Justine; Canadian Institute for Advanced Research; Canada Foundation for Innovation; Google","keywords":"Connectome; Neuroscience; Connectomics; Synapse; Biology; Functional connectivity; Computer science","score_opus":0.01988139665872953,"score_gpt":0.25368176920038077,"score_spread":0.23380037254165123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411981267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97830087,0.0000065755407,0.01961325,0.00086882967,0.0006481554,0.00019745364,0.000008714154,0.000024033732,0.0003321364],"genre_scores_gemma":[0.9979931,0.0000026629855,0.000104835875,0.0016402088,0.000046462894,0.000006666969,0.0000012732812,0.000005469818,0.00019933339],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991512,0.00019292669,0.00016628623,0.00022383522,0.00012408839,0.00014168909],"domain_scores_gemma":[0.99887294,0.00085430325,0.00006545539,0.00013351561,0.00003240036,0.00004138125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010514247,0.000085812186,0.00012326316,0.000052457395,0.00022534885,0.000026715572,0.000078878904,0.000052846874,0.00001984497],"category_scores_gemma":[0.0012391096,0.00005541727,0.000018111416,0.0003232506,0.000096362506,0.00006505005,0.00011671064,0.00024994666,0.0000016471571],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022756036,0.00010920973,0.1773183,0.00009551795,0.00005726878,0.000014241501,0.00038804093,0.03699437,0.5714131,0.20517564,0.0050079213,0.0011507708],"study_design_scores_gemma":[0.00084649463,0.0007639509,0.90919584,0.00016983505,0.00007112424,0.00007748472,0.00013203535,0.04654753,0.036220606,0.0027461003,0.0029801219,0.00024889194],"about_ca_topic_score_codex":0.0000150589385,"about_ca_topic_score_gemma":0.0003891288,"teacher_disagreement_score":0.7318775,"about_ca_system_score_codex":0.000024363024,"about_ca_system_score_gemma":0.000028365856,"threshold_uncertainty_score":0.22598507},"labels":[],"label_agreement":null},{"id":"W4412024050","doi":"10.1101/2025.06.29.662192","title":"Ensembles and engrams in mouse cortical and sub-thalamic brain regions supporting context and memory recall","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Nutrition, Metabolism and Diabetes","funders":"National Institutes of Health; Saban Research Institute; Thailand Science Research and Innovation; University of Southern California","keywords":"Engram; Neuroscience; Recall; Context (archaeology); Psychology; Cognitive psychology; Biology","score_opus":0.019853963215382953,"score_gpt":0.23765551924163078,"score_spread":0.21780155602624782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412024050","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99681914,0.00039014066,0.00017072976,0.0011987021,0.000404333,0.0007076093,0.00012462225,0.00017338149,0.000011325126],"genre_scores_gemma":[0.9974603,0.000980454,0.00018948282,0.0011312714,0.000068196496,0.00007364278,2.7226554e-7,0.00004880815,0.000047578113],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99705267,0.000333166,0.00056452124,0.0013168278,0.00022307882,0.00050973595],"domain_scores_gemma":[0.99814516,0.00072716293,0.0002734761,0.0005289578,0.000088050416,0.00023721122],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006816767,0.00043974302,0.00053625717,0.00031147266,0.0002249316,0.0002881958,0.00020240269,0.0004050767,0.0000032921305],"category_scores_gemma":[0.0019455592,0.0004624686,0.00005616252,0.00030764288,0.00035213315,0.00016550737,0.00063871837,0.00081585,0.0000019375275],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046896126,0.00006152238,0.00615415,0.00032186895,0.000011888116,0.0001110878,0.000027509983,0.000006403533,0.9896435,0.0034941852,0.00006872388,0.000052229043],"study_design_scores_gemma":[0.0016418898,0.00017180035,0.11496098,0.0009371765,0.00009275704,0.0000010155145,0.000038190905,0.013190333,0.8665968,0.00008776906,0.0009082554,0.0013730307],"about_ca_topic_score_codex":0.000093022514,"about_ca_topic_score_gemma":0.000057456084,"teacher_disagreement_score":0.12304674,"about_ca_system_score_codex":0.00009022733,"about_ca_system_score_gemma":0.00018243917,"threshold_uncertainty_score":0.9997827},"labels":[],"label_agreement":null},{"id":"W4412075570","doi":"10.1523/jneurosci.0368-25.2025","title":"Sleep State Influences Early Sound Encoding at Cortical But Not Subcortical Levels","year":2025,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec","keywords":"Auditory cortex; Magnetoencephalography; Memory consolidation; Neuroscience; Thalamus; Sleep (system call); Psychology; Sleep spindle; Audiology; Non-rapid eye movement sleep; Eye movement; Electroencephalography; Medicine; Computer science; Hippocampus","score_opus":0.06110891404437494,"score_gpt":0.3085195685478433,"score_spread":0.24741065450346836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412075570","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99192894,0.000011824493,0.003677587,0.0011024777,0.0026898873,0.00010489004,0.000010328486,0.000027350212,0.00044669173],"genre_scores_gemma":[0.99449974,0.000036904024,0.000068545465,0.004377608,0.00006575224,0.0000016450898,4.3720245e-8,0.000009458502,0.000940328],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99725115,0.00020305734,0.0007221229,0.00044724587,0.00089367025,0.00048276884],"domain_scores_gemma":[0.998253,0.0007939347,0.00036936978,0.00022186333,0.00013460948,0.00022722276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005166207,0.00018436338,0.00028237584,0.00027988778,0.0005160742,0.0002961937,0.0006916266,0.000053725194,0.000016305377],"category_scores_gemma":[0.0036219815,0.00014347493,0.0001502425,0.0008354758,0.0005953329,0.000791892,0.00024900833,0.0005573581,0.000018622804],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001264158,0.00006096718,0.008312596,0.000008473659,0.0000013694346,0.00024085595,0.000045152585,0.00047227563,0.9879391,0.0019033774,0.00004108385,0.0008482841],"study_design_scores_gemma":[0.0005858144,0.0007943525,0.5771259,0.00005078207,0.000029136521,0.0006586879,0.000017453789,0.015563007,0.40041143,0.0037798465,0.0007242525,0.00025932008],"about_ca_topic_score_codex":0.000004988426,"about_ca_topic_score_gemma":0.000003549286,"teacher_disagreement_score":0.5875277,"about_ca_system_score_codex":0.00010976873,"about_ca_system_score_gemma":0.00011573625,"threshold_uncertainty_score":0.5850738},"labels":[],"label_agreement":null},{"id":"W4412182866","doi":"10.1101/2025.07.07.663227","title":"Calbindin Stratifies Midbrain Dopaminergic Neurons Governing Distinct Aspects of Locomotion","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Midbrain; Dopaminergic; Neuroscience; Dopamine; Biology; Central nervous system","score_opus":0.01926642888147152,"score_gpt":0.2282249757386707,"score_spread":0.2089585468571992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412182866","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920917,0.000098917284,0.0018078622,0.000383055,0.0031205511,0.0007621302,0.0010490151,0.00035056492,0.00033617683],"genre_scores_gemma":[0.9990225,0.00007272802,0.00026744936,0.00017262675,0.00021896705,0.00007753934,0.0000010141383,0.000065962864,0.000101230915],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9965251,0.00034245057,0.0007139602,0.0013129391,0.0005820696,0.0005234449],"domain_scores_gemma":[0.9974311,0.00037402107,0.00074509165,0.0010793264,0.00019989113,0.00017059124],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038069222,0.0005878294,0.0006213821,0.00034333314,0.00023318676,0.0002143594,0.00069048064,0.00037152067,0.00003758606],"category_scores_gemma":[0.0012638681,0.0006130541,0.00022942419,0.00079307734,0.00022076102,0.00019281486,0.000609887,0.00095023995,0.00002565735],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030818566,0.00017217733,0.0018099182,0.0005797656,0.00002364273,0.00007057806,0.000005680862,0.00045280406,0.9853924,0.011230968,0.000227101,0.000004145182],"study_design_scores_gemma":[0.0005309539,0.00016168975,0.0712515,0.00071725645,0.000119613556,7.027082e-8,0.000002796487,0.010802682,0.9135371,0.000047902155,0.0019506777,0.00087777304],"about_ca_topic_score_codex":0.00008039594,"about_ca_topic_score_gemma":0.000013465701,"teacher_disagreement_score":0.07185531,"about_ca_system_score_codex":0.00022621309,"about_ca_system_score_gemma":0.00048196444,"threshold_uncertainty_score":0.99963206},"labels":[],"label_agreement":null},{"id":"W4412201295","doi":"10.7554/elife.101105.3","title":"Ultraslow serotonin oscillations in the hippocampus delineate substates across NREM and waking","year":2025,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Douglas Mental Health University Institute","funders":"Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft","keywords":"Non-rapid eye movement sleep; Hippocampal formation; Neuroscience; Hippocampus; Local field potential; Psychology; Physics; Chemistry; Electroencephalography","score_opus":0.02474719797612933,"score_gpt":0.3064023681169977,"score_spread":0.2816551701408684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412201295","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99591064,0.000053862903,0.0002783152,0.0024478654,0.00024307574,0.00021659351,0.000011361214,0.00003569714,0.00080260617],"genre_scores_gemma":[0.99600637,0.00015867926,0.00004136306,0.003530507,0.000027062324,0.000019174593,0.000002752069,0.0000052229957,0.0002088523],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991868,0.00009222734,0.00015250903,0.0002321189,0.00014257099,0.00019373468],"domain_scores_gemma":[0.9993874,0.0003922949,0.000035265697,0.00014225439,0.000022538075,0.00002023826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029073344,0.00008202196,0.000076672244,0.00004635124,0.00026095452,0.00012258285,0.00010518993,0.000032924654,0.0000040444615],"category_scores_gemma":[0.00029121153,0.000057745492,0.000022700146,0.00040788524,0.000064756554,0.00010413472,0.000037057343,0.00014112474,0.000008059848],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013795219,0.0002131365,0.1524842,0.00010160559,0.000013613062,0.00011653807,0.007000053,0.0050378693,0.6387496,0.02176213,0.0021763463,0.17220698],"study_design_scores_gemma":[0.0026689044,0.00020329072,0.4998368,0.00027653915,0.000032823988,0.00015738702,0.002708544,0.24888992,0.14665039,0.03751498,0.060172036,0.00088837254],"about_ca_topic_score_codex":0.000039086026,"about_ca_topic_score_gemma":0.00021116203,"teacher_disagreement_score":0.49209917,"about_ca_system_score_codex":0.000017022076,"about_ca_system_score_gemma":0.000016384933,"threshold_uncertainty_score":0.23547928},"labels":[],"label_agreement":null},{"id":"W4412347335","doi":"10.1126/sciadv.adv7576","title":"Structural and genetic determinants of zebrafish functional brain networks","year":2025,"lang":"en","type":"article","venue":"Science Advances","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Grain Research Centre","funders":"","keywords":"Neuroscience; Zebrafish; Connectome; Neuroimaging; Biology; Calcium imaging; Vertebrate; Modularity (biology); Functional connectivity; Computer science; Evolutionary biology; Gene","score_opus":0.014158607049234299,"score_gpt":0.27344659128757004,"score_spread":0.25928798423833577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412347335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99707663,0.00017688486,0.0009820856,0.00023752503,0.0010015322,0.00009135477,0.0000030933118,0.000018863482,0.00041203963],"genre_scores_gemma":[0.99867743,0.00002258526,0.00019936997,0.00069147465,0.000026631864,0.000003597795,2.0829012e-7,0.0000024916949,0.0003761832],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990187,0.000023089167,0.0001556039,0.00036820976,0.00022543695,0.00020892386],"domain_scores_gemma":[0.9995291,0.00018428899,0.00007607305,0.0001273026,0.000040419436,0.0000427972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011059874,0.00007839762,0.00009914362,0.00012072118,0.000290998,0.000053088148,0.00020153588,0.000019901017,0.00001130785],"category_scores_gemma":[0.0003897426,0.00006279559,0.000020226616,0.00073690084,0.0009092602,0.00051134825,0.00009785773,0.000063736705,8.331325e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003526086,0.000011177668,0.038058665,0.00002530389,7.452923e-7,0.000005350881,0.000021986229,0.005155329,0.747601,0.0029441917,0.000068278634,0.20607272],"study_design_scores_gemma":[0.00036871262,0.00015146672,0.5721502,0.000053445412,0.0000064615015,0.000050361254,0.000044948378,0.15968439,0.25428873,0.012165753,0.0008331142,0.00020240725],"about_ca_topic_score_codex":0.000004119933,"about_ca_topic_score_gemma":0.000022377519,"teacher_disagreement_score":0.53409153,"about_ca_system_score_codex":0.000014361254,"about_ca_system_score_gemma":0.000056745663,"threshold_uncertainty_score":0.3350207},"labels":[],"label_agreement":null},{"id":"W4412426193","doi":"10.1016/j.ijpsycho.2025.113191","title":"Brain evolution and the continuous extension of control","year":2025,"lang":"en","type":"article","venue":"International Journal of Psychophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Extension (predicate logic); Control (management); Psychology; Cognitive science; Computer science; Artificial intelligence; Programming language","score_opus":0.007606127513881594,"score_gpt":0.2784797493631275,"score_spread":0.2708736218492459,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412426193","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9682399,0.00012314912,0.008674333,0.019035358,0.0032640784,0.000090889596,0.0000066975376,0.0000039810834,0.0005616101],"genre_scores_gemma":[0.99584913,0.00008336847,0.00003055709,0.0037202595,0.00013181972,0.0000012768376,3.3690807e-7,0.0000024580456,0.00018076127],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992003,0.00017847616,0.00030819254,0.00010171482,0.000149174,0.00006214934],"domain_scores_gemma":[0.99858207,0.0007676692,0.00032758518,0.00007276173,0.00023511589,0.000014806032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002500706,0.0000544144,0.00016743474,0.00013201153,0.000032586937,0.0000119623055,0.00021913387,0.00003464711,0.0000095770765],"category_scores_gemma":[0.00080403994,0.000032814612,0.00008478262,0.00007799664,0.00023839925,0.0000713781,0.000028324688,0.00012709212,0.0000013208175],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021724266,0.000044741817,0.0002004501,0.0000024983026,0.00003276941,0.000005693392,0.000021951557,0.00012601941,0.9317987,0.05962348,0.0012407168,0.004730583],"study_design_scores_gemma":[0.033506747,0.0013641204,0.16375972,0.00029136008,0.00011600428,0.00078965956,0.00018755975,0.023667432,0.042683244,0.72389704,0.009470826,0.0002662808],"about_ca_topic_score_codex":0.0000082608785,"about_ca_topic_score_gemma":0.0000010069002,"teacher_disagreement_score":0.88911545,"about_ca_system_score_codex":0.000018481856,"about_ca_system_score_gemma":0.00002420358,"threshold_uncertainty_score":0.13381411},"labels":[],"label_agreement":null},{"id":"W4412434852","doi":"10.1016/j.plrev.2025.07.009","title":"Brain dynamics shape cognition–Spatiotemporal Neuroscience","year":2025,"lang":"en","type":"review","venue":"Physics of Life Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre","funders":"Shenzhen Science and Technology Innovation Program; Horizon 2020; Canadian Institutes of Health Research; Shenzhen-Hong Kong Institute of Brain Science; Shenzhen University; Hangzhou Normal University; Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Cognition; Neuroscience; Dynamics (music); Cognitive neuroscience; Cognitive science; Computational neuroscience; Psychology","score_opus":0.13591255829898474,"score_gpt":0.3662296231762072,"score_spread":0.23031706487722248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412434852","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000019925387,0.99155277,0.0016717922,0.0002479252,0.0010936513,0.0021397395,0.0004559976,0.000073634714,0.002762499],"genre_scores_gemma":[0.000023308381,0.99634695,0.0001050408,0.0020195313,0.00024848303,0.00018612212,0.00017337989,0.000052177515,0.00084503],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9956893,0.0008091635,0.0015694641,0.0010420821,0.0004913369,0.00039869783],"domain_scores_gemma":[0.99604917,0.0011407619,0.0017487465,0.00081417133,0.00008577726,0.00016137856],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005497199,0.0006422765,0.0027641926,0.0001996754,0.00018385824,0.0000968965,0.0009805667,0.00018564766,0.000026420954],"category_scores_gemma":[0.004128612,0.0005182144,0.0011493029,0.0018806526,0.00024671335,0.00032266034,0.00032230074,0.00057957444,0.000114470495],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023430196,0.0001034384,6.5585607e-7,0.028097056,0.0000049554715,0.0000024476778,0.000003610606,0.0000017638046,0.000049852366,0.008583985,0.0019181579,0.9612317],"study_design_scores_gemma":[0.00010342936,0.000070112124,6.421458e-7,0.014096156,0.00028803328,0.000006751846,7.21958e-7,0.0027774216,0.000014820338,0.0016060428,0.98057634,0.00045954084],"about_ca_topic_score_codex":0.0000053739736,"about_ca_topic_score_gemma":0.0000031901816,"teacher_disagreement_score":0.9786582,"about_ca_system_score_codex":0.000085001404,"about_ca_system_score_gemma":0.00052799744,"threshold_uncertainty_score":0.99972695},"labels":[],"label_agreement":null},{"id":"W4412440315","doi":"10.1101/2025.07.09.663972","title":"Modular dynamics of conscious and unconscious states in marmoset cortex","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Marmoset; Unconscious mind; Modular design; Dynamics (music); Cortex (anatomy); Neuroscience; Cognitive science; Psychology; Callithrix; Cognitive psychology; Computer science; Communication; Psychoanalysis; Biology","score_opus":0.011093614913452319,"score_gpt":0.2193862382065602,"score_spread":0.20829262329310788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412440315","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952233,0.00025796294,0.0005099895,0.00037436606,0.0011985442,0.000730261,0.0015398012,0.0001475783,0.000018235682],"genre_scores_gemma":[0.99808276,0.00088589644,0.00047871118,0.0003854861,0.000038286096,0.000060697002,0.0000010031843,0.00004703952,0.000020120497],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99696916,0.00019801833,0.00091681565,0.0011405684,0.00032791,0.00044749974],"domain_scores_gemma":[0.997744,0.0002811352,0.0008139141,0.0008222006,0.0001967075,0.00014203318],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00050528237,0.00045916668,0.00071440754,0.00048113405,0.00009663611,0.0001229756,0.0004481271,0.00038462627,0.000010830633],"category_scores_gemma":[0.0008424886,0.0004915314,0.000102802,0.00065776764,0.00033768662,0.00010858837,0.0006619746,0.0007317349,0.0000042344627],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069821224,0.00018501132,0.017474532,0.000816621,0.000030882657,0.00014349687,0.000011034728,0.00091540563,0.9752735,0.0049897726,0.000075841286,0.000014092219],"study_design_scores_gemma":[0.0024100258,0.00028998856,0.27355334,0.0016395906,0.00018806409,2.2632918e-7,0.0000148054205,0.33347017,0.38474616,0.0006090391,0.0009452671,0.002133314],"about_ca_topic_score_codex":0.00018353385,"about_ca_topic_score_gemma":0.00008727703,"teacher_disagreement_score":0.5905273,"about_ca_system_score_codex":0.00025149548,"about_ca_system_score_gemma":0.00040692295,"threshold_uncertainty_score":0.99975365},"labels":[],"label_agreement":null},{"id":"W4412459098","doi":"10.1167/jov.25.9.2044","title":"The temporal features of size constancy in two- and three-dimensional stimuli reveals a real-world advantage","year":2025,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Subjective constancy; Communication; Biology; Psychology; Neuroscience; Perception","score_opus":0.014478884516808668,"score_gpt":0.328498292662326,"score_spread":0.3140194081455173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412459098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953306,0.00027877977,0.00004679161,0.0022219522,0.0004915346,0.00012461815,0.0000050207445,0.0000042060074,0.0014965378],"genre_scores_gemma":[0.99863845,0.00024300606,0.00023674278,0.0003130186,0.0000285153,4.8790946e-7,1.7996454e-7,0.0000044655535,0.0005351192],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989526,0.0001131434,0.00042130257,0.00012508854,0.00027232172,0.00011552374],"domain_scores_gemma":[0.99800134,0.0014565745,0.00032716698,0.000105995394,0.000071434726,0.000037484217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053495617,0.00008201281,0.00019231338,0.000106050975,0.000107652726,0.00003551137,0.00012282871,0.00002326711,0.0000066767907],"category_scores_gemma":[0.00063946046,0.000048304613,0.000059401358,0.0003092191,0.00011011246,0.00014996057,0.0000664118,0.0002522931,3.4292782e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011432702,0.00013478698,0.033443265,0.000036595917,0.0000070707865,0.00011541627,0.00003146435,0.00020077334,0.92136014,0.010129782,0.002405126,0.030992342],"study_design_scores_gemma":[0.0034203746,0.000788267,0.9294206,0.0012848567,0.00003069116,0.00015312292,0.000066274784,0.0050044465,0.013882499,0.044123985,0.0016418942,0.00018299698],"about_ca_topic_score_codex":0.000035040677,"about_ca_topic_score_gemma":0.00042956462,"teacher_disagreement_score":0.9074776,"about_ca_system_score_codex":0.00003098281,"about_ca_system_score_gemma":0.000049890117,"threshold_uncertainty_score":0.19698049},"labels":[],"label_agreement":null},{"id":"W4412459130","doi":"10.1167/jov.25.9.2115","title":"Attentional modulation of stimulus-synchronized BOLD oscillations in the human visual cortex","year":2025,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Stimulus (psychology); Neuroscience; Visual cortex; Psychology; Modulation (music); Cognitive psychology; Physics; Acoustics","score_opus":0.023149514780159197,"score_gpt":0.33936176719066163,"score_spread":0.31621225241050244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412459130","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956399,0.000015773705,0.002289006,0.0010703794,0.00035171513,0.00010555807,0.0000026657535,0.0000035566918,0.0005214279],"genre_scores_gemma":[0.9994941,0.000014569006,0.000062513725,0.00022418033,0.000053527052,7.39103e-7,0.0000020047778,0.0000033211386,0.00014505173],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99885625,0.00014577563,0.00044387922,0.00010039579,0.00037325599,0.00008042776],"domain_scores_gemma":[0.9992439,0.0002515755,0.00030465776,0.000084094085,0.00009918673,0.000016546386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004553584,0.000060467188,0.00012457566,0.00025172747,0.00012126681,0.000033709846,0.00014135751,0.00003712077,0.00003286882],"category_scores_gemma":[0.0002279713,0.000040326246,0.00009244438,0.00041211836,0.000045210072,0.00021134462,0.000027228356,0.0001664537,0.0000016812705],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050295264,0.0001947623,0.003193676,0.000009441388,0.0000028074148,0.0000049662676,0.000040795585,0.003227945,0.9849695,0.005072213,0.00035092118,0.0028827062],"study_design_scores_gemma":[0.00099641,0.0003536794,0.8894257,0.00011702111,0.00001435319,0.000019449999,0.000038609123,0.100170925,0.0025708454,0.005924228,0.00031777652,0.000051003568],"about_ca_topic_score_codex":0.0000060481543,"about_ca_topic_score_gemma":0.000007356574,"teacher_disagreement_score":0.9823986,"about_ca_system_score_codex":0.000048601592,"about_ca_system_score_gemma":0.000041663345,"threshold_uncertainty_score":0.16444565},"labels":[],"label_agreement":null},{"id":"W4412460945","doi":"10.1167/jov.25.9.1794","title":"Increased population receptive field size in early visual cortex following the loss of one eye","year":2025,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children; York University","funders":"","keywords":"Receptive field; Visual cortex; Neuroscience; Visual field; Visual field loss; Psychology","score_opus":0.012618817365820044,"score_gpt":0.30973706829361614,"score_spread":0.2971182509277961,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412460945","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99786776,0.000015702624,0.00023540393,0.0010667171,0.00052023894,0.00009238047,7.6050566e-7,0.000003453417,0.00019756469],"genre_scores_gemma":[0.9993371,0.000025798981,0.000054698474,0.00044094378,0.000039444967,4.8529586e-7,2.8230997e-7,0.000003850671,0.00009743665],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99900496,0.00015645726,0.00037613144,0.00009754745,0.00027903393,0.000085883796],"domain_scores_gemma":[0.9987535,0.0008187526,0.0002793087,0.00007762339,0.00004902582,0.000021784319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042765602,0.000059894697,0.0001571887,0.00012317514,0.00006325971,0.000027259417,0.00012297452,0.000048637263,0.000013445761],"category_scores_gemma":[0.0014110022,0.000040519204,0.00010647369,0.00036638015,0.000017060958,0.00021734126,0.00003646747,0.00022220468,0.0000010865446],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054246746,0.00016027842,0.050320487,0.000010482427,0.000007588121,0.000021058117,0.000119030316,0.00007410178,0.9390426,0.0003256535,0.00006898204,0.0093072485],"study_design_scores_gemma":[0.00069718325,0.0007096934,0.9634347,0.00029691856,0.000018169989,0.0000035594617,0.000039495917,0.0023572699,0.030388974,0.00197008,0.00003483387,0.000049114384],"about_ca_topic_score_codex":0.00012260907,"about_ca_topic_score_gemma":0.000015495807,"teacher_disagreement_score":0.91311425,"about_ca_system_score_codex":0.00004313764,"about_ca_system_score_gemma":0.000025721109,"threshold_uncertainty_score":0.16892034},"labels":[],"label_agreement":null},{"id":"W4412468814","doi":"10.1038/s41562-025-02270-x","title":"The development of aperiodic neural activity in the human brain","year":2025,"lang":"en","type":"article","venue":"Nature Human Behaviour","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; National Institute on Aging; Northwestern University","keywords":"Aperiodic graph; Neuroscience; Neural activity; Human brain; Psychology; Computer science; Mathematics; Combinatorics","score_opus":0.025134984352744295,"score_gpt":0.3177300623315876,"score_spread":0.2925950779788433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412468814","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99585265,0.000027741147,0.000006273449,0.0019615549,0.00033532424,0.00030153157,0.000003759648,0.000024466231,0.0014866927],"genre_scores_gemma":[0.9975352,9.694887e-7,0.000007981003,0.0011138603,0.000024651876,0.000030713494,0.0000033028314,0.000007493268,0.0012758195],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99874073,0.00021669635,0.00023492266,0.0002782375,0.00030736384,0.0002220617],"domain_scores_gemma":[0.99925315,0.0002828833,0.000100385725,0.00032020907,0.000025576624,0.000017787954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048044816,0.0001315559,0.00012078893,0.00009769957,0.0008670319,0.00009527421,0.0005556759,0.00013638157,0.000009853881],"category_scores_gemma":[0.00015044618,0.00007647678,0.00006521303,0.00038470238,0.00013421239,0.00007899626,0.00010103668,0.0008935486,0.0000017830868],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019198882,0.00017498255,0.015083583,0.000012801314,0.0000022921306,0.000009578689,0.0006184717,0.0000036793022,0.9583013,0.017714346,0.0009924399,0.007067346],"study_design_scores_gemma":[0.00036181143,0.000049035574,0.9412005,0.000022696215,0.000008513157,0.0000038757626,0.0001145211,0.00008057607,0.054312192,0.0009901142,0.002734837,0.000121345794],"about_ca_topic_score_codex":0.000016244954,"about_ca_topic_score_gemma":0.00070645695,"teacher_disagreement_score":0.9261169,"about_ca_system_score_codex":0.00005368138,"about_ca_system_score_gemma":0.000043418488,"threshold_uncertainty_score":0.6668596},"labels":[],"label_agreement":null},{"id":"W4412475100","doi":"10.7554/elife.98002.3.sa4","title":"Author response: Single neurons and networks in the mouse claustrum integrate input from widespread cortical sources","year":2025,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Claustrum; Neuroscience; Biology; Cortical neurons","score_opus":0.05786081229659285,"score_gpt":0.30922605249350044,"score_spread":0.2513652401969076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412475100","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30890697,0.005692776,0.0022874537,0.66440105,0.009013834,0.003215456,0.001201122,0.00042665284,0.0048546977],"genre_scores_gemma":[0.16772456,0.003144229,0.000094188865,0.086902864,0.00045557265,0.0001533135,0.000337677,0.00008812041,0.7410995],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99576247,0.0018340338,0.0005779356,0.0009569665,0.0004229544,0.0004456512],"domain_scores_gemma":[0.99349755,0.0055166325,0.00018798992,0.0006551015,0.00004513187,0.0000975955],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008558592,0.00043053503,0.00056906283,0.00017264183,0.00021551542,0.00033248228,0.0006526609,0.00034175563,0.00013910225],"category_scores_gemma":[0.004896497,0.00027074057,0.00013531653,0.00061512296,0.00027090052,0.00010306893,0.0003233295,0.0017802856,0.000013832894],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039411988,0.00014279273,0.00007243612,0.00017395403,0.0000097554675,0.00010285587,0.00006190869,0.00007771821,0.009975288,0.00072963844,0.97885144,0.009408069],"study_design_scores_gemma":[0.0002992082,0.00035662533,0.00089492655,0.0013911105,0.00013642992,0.000036280126,0.00004839475,0.018214528,0.0008841831,0.00050367747,0.9767439,0.00049075065],"about_ca_topic_score_codex":0.0003782721,"about_ca_topic_score_gemma":0.00077508704,"teacher_disagreement_score":0.7362448,"about_ca_system_score_codex":0.00005712475,"about_ca_system_score_gemma":0.00010157896,"threshold_uncertainty_score":0.9999745},"labels":[],"label_agreement":null},{"id":"W4412479560","doi":"10.1038/s42003-025-08448-3","title":"Infra-slow scale-free dynamics modulate the connection of neural and behavioral variability during attention","year":2025,"lang":"en","type":"article","venue":"Communications Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research; China Scholarship Council; National Natural Science Foundation of China; Natural Sciences and Engineering Research Council of Canada; European Commission; National Science Foundation","keywords":"Connection (principal bundle); Neuroscience; Dynamics (music); Scale (ratio); Psychology; Computer science; Communication; Geography; Cartography; Mathematics","score_opus":0.03235063533433922,"score_gpt":0.30688563068317715,"score_spread":0.2745349953488379,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412479560","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99344087,0.000035668265,0.0011034935,0.0040486977,0.00025537482,0.00023365246,0.0000405286,0.000040867693,0.0008008428],"genre_scores_gemma":[0.999367,0.00014178707,0.00016302944,0.00011424787,0.000006789809,0.000029953975,0.000030353003,0.000004249205,0.00014258998],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99894387,0.00046262823,0.00023847084,0.00020596884,0.000037309124,0.00011172993],"domain_scores_gemma":[0.9980897,0.00041397446,0.0001104924,0.0013102081,0.00005902809,0.00001660597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002484288,0.000078562596,0.00011405373,0.00007870247,0.0004125081,0.000019694655,0.0005936698,0.00007793262,0.0000037484378],"category_scores_gemma":[0.0003279399,0.000061484905,0.000043940025,0.00029210176,0.0005870962,0.00008255907,0.0006578922,0.00020410672,8.703929e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054995187,0.00022761662,0.13439941,0.00003129583,0.000009228343,1.580506e-7,0.000074490345,0.00011104619,0.71173865,0.13665602,0.00002255345,0.016674558],"study_design_scores_gemma":[0.0007292722,0.00015666493,0.5261669,0.000023314507,0.000060226896,0.000022766228,0.00010911561,0.4121861,0.0062485333,0.053930223,0.00020529184,0.00016158482],"about_ca_topic_score_codex":0.00008911702,"about_ca_topic_score_gemma":0.00023798196,"teacher_disagreement_score":0.7054901,"about_ca_system_score_codex":0.000046432153,"about_ca_system_score_gemma":0.0000131533325,"threshold_uncertainty_score":0.31727204},"labels":[],"label_agreement":null},{"id":"W4412501509","doi":"10.1101/2025.07.16.664881","title":"Dynamical independence reveals anaesthetic specific fragmentation of emergent structure in neural dynamics","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Fragmentation (computing); Independence (probability theory); Dynamics (music); Neural system; Statistical physics; Neuroscience; Computer science; Psychology; Physics; Mathematics; Statistics","score_opus":0.01575062036069855,"score_gpt":0.2380367713108406,"score_spread":0.22228615095014206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412501509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941826,0.00016736744,0.00096301886,0.0003317259,0.002462334,0.0008937103,0.0008668748,0.000121164245,0.000011201666],"genre_scores_gemma":[0.9986195,0.00030976458,0.00064262294,0.0002221347,0.000085062326,0.000052766685,0.0000018715347,0.00005515247,0.000011154839],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9961825,0.00033513404,0.000932214,0.0013296524,0.00070751266,0.000512958],"domain_scores_gemma":[0.9978714,0.000113988455,0.0006161302,0.0010331991,0.00021978252,0.00014548199],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033032705,0.0005373183,0.0006324829,0.00060353643,0.00010397772,0.00011108978,0.00077052525,0.00058661954,0.000053301796],"category_scores_gemma":[0.00028018374,0.0005759941,0.00016911021,0.0011149861,0.00016603064,0.00018840439,0.00052185036,0.0012944379,0.0000059321987],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007785448,0.0001676812,0.014991201,0.0004172425,0.000014027998,0.00007059721,0.000011287595,0.00583492,0.972501,0.00584446,0.000032989767,0.00003675207],"study_design_scores_gemma":[0.0013801518,0.00024523502,0.3737343,0.0011297141,0.000100238394,1.7323407e-7,0.000012056945,0.33285668,0.2883534,0.0003102032,0.00015197106,0.0017258604],"about_ca_topic_score_codex":0.00006828659,"about_ca_topic_score_gemma":0.000037958245,"teacher_disagreement_score":0.6841476,"about_ca_system_score_codex":0.00058457616,"about_ca_system_score_gemma":0.00023851046,"threshold_uncertainty_score":0.99966913},"labels":[],"label_agreement":null},{"id":"W4412549843","doi":"10.1017/s0140525x25101489","title":"Studying unconscious processing: Contention and consensus","year":2025,"lang":"en","type":"article","venue":"Behavioral and Brain Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Unconscious mind; Consciousness; Scope (computer science); Perception; Diversity (politics); Psychology; Field (mathematics); Computer science; Cognitive science; Cognitive psychology; Sociology; Psychoanalysis","score_opus":0.09934427386001615,"score_gpt":0.34755894237208546,"score_spread":0.2482146685120693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412549843","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99433213,0.0001555666,0.00005078149,0.0040699802,0.0002481207,0.00017614162,0.0000037754771,0.00005283236,0.0009106635],"genre_scores_gemma":[0.9972147,0.000015299158,0.00009628328,0.001135164,0.000011986908,0.000008581654,3.659915e-7,0.0000024081016,0.0015152633],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990298,0.000058629514,0.00014438666,0.0004186065,0.00016605706,0.00018251715],"domain_scores_gemma":[0.9996698,0.00014463053,0.000055237593,0.000055512377,0.000026890404,0.000047943588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003010081,0.00009620094,0.00010754444,0.00011245376,0.0006916505,0.0002734307,0.000094566836,0.000033799137,0.0000043178466],"category_scores_gemma":[0.00014260718,0.000071111004,0.000018375296,0.0004000182,0.0008082179,0.00014960617,0.00008366915,0.00007436123,0.0000011317043],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027008316,0.00011793761,0.058932267,0.00003082169,0.0000010042648,0.000019794248,0.00019750342,0.0000035002804,0.7114676,0.0077445796,0.00046034675,0.22099762],"study_design_scores_gemma":[0.008158408,0.0050088745,0.62560004,0.0010599825,0.0002891109,0.00095075177,0.012879554,0.06349888,0.18193628,0.074452125,0.023216413,0.002949605],"about_ca_topic_score_codex":0.000050272025,"about_ca_topic_score_gemma":0.000051494946,"teacher_disagreement_score":0.56666774,"about_ca_system_score_codex":0.000009067857,"about_ca_system_score_gemma":0.000045392324,"threshold_uncertainty_score":0.53196865},"labels":[],"label_agreement":null},{"id":"W4412596760","doi":"10.1111/ejn.70184","title":"Distinct Brain Electrical Activity Patterns in Dominant and Submissive Mice: Implications for Cognitive Impairments","year":2025,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Douglas Mental Health University Institute","funders":"Ministry of Science and Technology, Israel","keywords":"Novelty; Psychology; Prefrontal cortex; Neuroscience; Cognition; Recall; Cognitive psychology","score_opus":0.02924440616912384,"score_gpt":0.3088738679907546,"score_spread":0.2796294618216308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412596760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9759496,0.0000119858105,0.019737042,0.0033548607,0.00036435455,0.00028701045,0.000036936315,0.000007977015,0.00025027405],"genre_scores_gemma":[0.99797535,0.000040561437,0.000028296827,0.0016816009,0.000034210527,0.0000044466,3.4430934e-7,0.000010732019,0.00022442908],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99844825,0.0004229527,0.00032797531,0.00037396155,0.0001512591,0.00027560678],"domain_scores_gemma":[0.99856645,0.00085703895,0.0002891694,0.00009958719,0.000078893456,0.000108883425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006219617,0.00012916236,0.00017254487,0.0002502027,0.0002180706,0.000108509295,0.00030435307,0.000014652338,8.96395e-7],"category_scores_gemma":[0.0032916889,0.00010613082,0.00006976578,0.00055773085,0.0001497173,0.00028819765,0.000102377046,0.00025365956,7.6568017e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018206985,0.00015631542,0.0074253995,0.000011605594,9.234911e-7,0.00009611142,0.000046638917,0.00000497178,0.9731932,0.00025387257,0.00011746046,0.018511381],"study_design_scores_gemma":[0.0010824094,0.0006972761,0.97500557,0.00007651955,0.00001101638,0.00025740446,0.000011344661,0.0021689588,0.01983551,0.0003312942,0.00041523762,0.0001074829],"about_ca_topic_score_codex":0.0000018776166,"about_ca_topic_score_gemma":0.0000028288002,"teacher_disagreement_score":0.96758014,"about_ca_system_score_codex":0.00004475274,"about_ca_system_score_gemma":0.00007291521,"threshold_uncertainty_score":0.4327889},"labels":[],"label_agreement":null},{"id":"W4412688056","doi":"10.1016/j.plrev.2025.07.013","title":"From slow spontaneous oscillations to consciousness – Dynamic layer model of brain (DLB). Comment on “Dark brain energy: toward an integrative model of spontaneous slow oscillations” by Zhu-Qing Gong and Xi-Nian Zuo","year":2025,"lang":"en","type":"review","venue":"Physics of Life Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Ottawa","funders":"HORIZON EUROPE Framework Programme","keywords":"Consciousness; Physics; Psychology; Neuroscience; Philosophy; Statistical physics","score_opus":0.06469441864473312,"score_gpt":0.32777822425284564,"score_spread":0.2630838056081125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412688056","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005219348,0.8064567,0.150286,0.0051415423,0.0010724629,0.008870674,0.021162795,0.00018683597,0.0016036291],"genre_scores_gemma":[0.026586713,0.96603477,0.002094404,0.0034841262,0.00009717652,0.00020405157,0.0006502573,0.0001286857,0.0007198318],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9942887,0.0010944302,0.0021926109,0.0013089385,0.00066873996,0.00044662177],"domain_scores_gemma":[0.993481,0.0029475866,0.0018870502,0.001159523,0.00022121372,0.00030362883],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006311548,0.00096997543,0.0038380546,0.00037208002,0.00020862524,0.00007499756,0.00077222503,0.00028291382,0.0000054870975],"category_scores_gemma":[0.0014487109,0.00080624304,0.0007668943,0.000943283,0.00025120095,0.00025334055,0.0003080281,0.0005108495,0.0000031606985],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018497965,0.000789845,0.0000020753212,0.012614938,0.00019709114,0.000033147157,0.0011337943,0.048711706,0.017327035,0.015230111,0.007923121,0.89585215],"study_design_scores_gemma":[0.0006940411,0.0006688955,6.439903e-7,0.029996697,0.00095643813,0.00006619693,0.000093993396,0.7695704,0.00035575376,0.010245258,0.18564424,0.0017074398],"about_ca_topic_score_codex":0.00022379048,"about_ca_topic_score_gemma":0.00017121492,"teacher_disagreement_score":0.8941447,"about_ca_system_score_codex":0.00028902694,"about_ca_system_score_gemma":0.00055306696,"threshold_uncertainty_score":0.9994388},"labels":[],"label_agreement":null},{"id":"W4412692346","doi":"10.1038/s41593-025-02031-z","title":"A neural manifold view of the brain","year":2025,"lang":"en","type":"review","venue":"Nature Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":61,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"Engineering and Physical Sciences Research Council; Fonds de Recherche du Québec - Santé; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Research Councils UK","keywords":"Neuroscience; Manifold (fluid mechanics); Artificial neural network; Brain function; Population; Cognitive science; Function (biology); Biological neural network; Neural activity; Computer science; Psychology; Artificial intelligence; Biology; Sociology; Evolutionary biology","score_opus":0.032567759909624086,"score_gpt":0.3264935101945292,"score_spread":0.29392575028490514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412692346","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000031330947,0.9864896,0.000013506191,0.0009979754,0.008297384,0.0013259285,0.00014549891,0.00008550887,0.0026132446],"genre_scores_gemma":[0.0010602331,0.9838768,0.0000060552657,0.009553698,0.0000978808,0.000042500043,0.0000021572837,0.00003260486,0.005328049],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99627465,0.00061176566,0.0006148216,0.0012070508,0.00083221466,0.0004595167],"domain_scores_gemma":[0.99686396,0.0013083825,0.00059525925,0.0011037472,0.000048602076,0.000080053134],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00029128877,0.0004887266,0.0009960365,0.00025327096,0.00032573167,0.000117363954,0.0025999646,0.00049626746,0.000011765116],"category_scores_gemma":[0.0049029174,0.00028291778,0.0007528733,0.003476988,0.00032495338,0.00017907255,0.00074519287,0.002109442,0.000008349388],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000056709396,0.00009733695,0.0000024811852,0.012093284,0.000002277344,0.000039899223,0.000008027702,0.000008277375,0.0067696073,0.021311065,0.0047112913,0.9549508],"study_design_scores_gemma":[0.00006361862,0.00004976416,0.000020110627,0.0036595447,0.00007502928,0.00014017081,4.5480795e-7,0.00026379857,0.00033791398,0.00018752184,0.99495566,0.00024640135],"about_ca_topic_score_codex":0.0000025005843,"about_ca_topic_score_gemma":0.0000032733956,"teacher_disagreement_score":0.9902444,"about_ca_system_score_codex":0.00005446444,"about_ca_system_score_gemma":0.00036358845,"threshold_uncertainty_score":0.9999623},"labels":[],"label_agreement":null},{"id":"W4412717893","doi":"10.1101/2025.07.21.666053","title":"Individual differences in perceptual capacity depend on aperiodic slope, not alpha oscillations","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"National Health and Medical Research Council; Australian Research Council","keywords":"Aperiodic graph; Electroencephalography; Alpha (finance); Limit (mathematics); Perception; Oscillation (cell signaling); Psychology; Stimulus (psychology); Mathematics; Limiting; Limit cycle; Inhibitory postsynaptic potential; Excitatory postsynaptic potential; Statistics; Cognitive psychology; Neuroscience; Biology; Mathematical analysis","score_opus":0.05125533495942936,"score_gpt":0.24038960066305878,"score_spread":0.18913426570362943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412717893","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99458593,0.000028861858,0.00016147818,0.00045796589,0.0023179792,0.0007931263,0.0012765125,0.00028189732,0.00009627618],"genre_scores_gemma":[0.9978212,0.00011872091,0.00031272398,0.0012781296,0.00021870274,0.00017267508,6.730355e-7,0.000048251663,0.000028927965],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99603474,0.00037897093,0.00061277073,0.0015986058,0.0007455778,0.0006293557],"domain_scores_gemma":[0.9979941,0.0004065549,0.00030930268,0.000951643,0.00013651433,0.00020186946],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00043013954,0.00062276487,0.0006117923,0.00067364745,0.00037627327,0.00045236168,0.00086929434,0.00054475723,0.00009097973],"category_scores_gemma":[0.0008920486,0.00062325574,0.00016262878,0.00092205766,0.000223643,0.00020392009,0.0006380602,0.0014450836,0.00008037251],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008909688,0.00043137308,0.025287172,0.00023350438,0.000034568988,0.000073424955,0.000079792415,0.0004236236,0.9665047,0.0066414797,0.00017928726,0.00002198011],"study_design_scores_gemma":[0.0008009036,0.00016869971,0.8261595,0.0005511097,0.0000770269,4.3420616e-8,0.000007942205,0.0053297775,0.16437186,0.000018754814,0.0012643976,0.0012499999],"about_ca_topic_score_codex":0.00010772921,"about_ca_topic_score_gemma":0.000051571657,"teacher_disagreement_score":0.80213284,"about_ca_system_score_codex":0.00029134125,"about_ca_system_score_gemma":0.00046985337,"threshold_uncertainty_score":0.99962187},"labels":[],"label_agreement":null},{"id":"W4412723423","doi":"10.1162/imag.a.109","title":"Resting-state functional connectivity of the marmoset claustrum","year":2025,"lang":"en","type":"article","venue":"Imaging Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Marmoset; Claustrum; Resting state fMRI; Functional connectivity; Neuroscience; Biology; Paleontology","score_opus":0.026963663996080245,"score_gpt":0.2656717750620334,"score_spread":0.23870811106595313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412723423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9835153,0.0000065092854,0.0033334782,0.0053044464,0.0038379806,0.00019997096,0.000024178522,0.00008157685,0.003696552],"genre_scores_gemma":[0.9924767,0.000003995198,0.000017305592,0.004996061,0.000016936685,0.0000064331243,2.226127e-7,0.0000066829793,0.0024756575],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99848425,0.00015546527,0.00020704273,0.00051767676,0.00035926534,0.0002762851],"domain_scores_gemma":[0.999014,0.00037417034,0.00013811425,0.00038547182,0.00005070575,0.000037488135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025353258,0.000119740114,0.00010664667,0.00010040794,0.0004314995,0.000085930806,0.00047183377,0.000015272366,0.0000075416515],"category_scores_gemma":[0.002390312,0.00008774394,0.00007254476,0.0011764972,0.00063124264,0.00025278144,0.0002949448,0.00023424574,0.0000039479078],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017417835,0.00003548864,0.030475175,0.000010790608,2.4192678e-7,0.000004519442,0.000009310937,0.00073487515,0.9605122,0.004351489,0.0010376781,0.0028108088],"study_design_scores_gemma":[0.00026953674,0.000026757538,0.5410965,0.000046140176,0.000006802755,0.000054335065,0.0000070311157,0.0635612,0.38168183,0.008577099,0.0045301155,0.00014262726],"about_ca_topic_score_codex":0.000028060856,"about_ca_topic_score_gemma":0.0000053441904,"teacher_disagreement_score":0.57883036,"about_ca_system_score_codex":0.000032072927,"about_ca_system_score_gemma":0.000109556364,"threshold_uncertainty_score":0.3578094},"labels":[],"label_agreement":null},{"id":"W4412728282","doi":"10.1371/journal.pcbi.1013316","title":"Tracking causal pathways in TMS-evoked brain responses","year":2025,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Transcranial magnetic stimulation; Neuroscience; Electroencephalography; Brain activity and meditation; Primary motor cortex; Brain stimulation; Psychology; Stimulation; Computer science","score_opus":0.05901221805679553,"score_gpt":0.3025756752217307,"score_spread":0.24356345716493516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412728282","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906058,0.000018046247,0.0025313245,0.004916525,0.0003517399,0.0001579687,0.000037513943,0.00007107339,0.0013100529],"genre_scores_gemma":[0.99513805,0.0000033493232,0.00025238522,0.0041651763,0.000034473498,0.000016724474,0.000033152995,0.0000060179927,0.0003506928],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99885213,0.00030701136,0.00021758357,0.0003484172,0.00008450742,0.0001903434],"domain_scores_gemma":[0.997384,0.002423931,0.00005150955,0.00007979505,0.000036540827,0.000024233064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014654761,0.000096946256,0.00013566036,0.00025799617,0.000097652715,0.000025076566,0.00013091508,0.00007288691,0.00002529629],"category_scores_gemma":[0.0013150792,0.000090426314,0.00003455043,0.00037183083,0.00009429831,0.00006706899,0.00005875461,0.00015133538,0.000029403998],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001592365,0.00012342351,0.0065450114,0.000011588071,0.0000055452892,0.000024233435,0.00006254888,0.0037387863,0.79383266,0.19150588,0.00027233906,0.0037187475],"study_design_scores_gemma":[0.0016594591,0.00036248416,0.2014824,0.000076165474,0.000009427511,0.000034239973,0.00003707778,0.288509,0.039439905,0.4648153,0.0031824287,0.0003921089],"about_ca_topic_score_codex":0.000009229914,"about_ca_topic_score_gemma":0.0000151250815,"teacher_disagreement_score":0.75439274,"about_ca_system_score_codex":0.000049071063,"about_ca_system_score_gemma":0.00008677986,"threshold_uncertainty_score":0.36874783},"labels":[],"label_agreement":null},{"id":"W4412746309","doi":"10.1016/j.neuropsychologia.2025.109234","title":"Toward task mapping of primate prefrontal cortex","year":2025,"lang":"en","type":"article","venue":"Neuropsychologia","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research; Canada First Research Excellence Fund; Western University","keywords":"Psychology; Prefrontal cortex; Primate; Neuroscience; Task (project management); Cognitive psychology; Cognition","score_opus":0.03745591237568487,"score_gpt":0.29203391112954724,"score_spread":0.2545779987538624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412746309","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9519067,0.00001468719,0.0014442009,0.00055112445,0.0017228891,0.00022389328,0.000016674732,0.00012659837,0.043993253],"genre_scores_gemma":[0.9955673,0.000036480295,0.00012602961,0.002713173,0.000022297716,0.000008575376,0.0000021029566,0.000010743154,0.0015132824],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998828,0.000094803836,0.00026068758,0.0004522621,0.00014857783,0.00021568006],"domain_scores_gemma":[0.99941224,0.00010502928,0.00011261365,0.00031045743,0.000027192462,0.000032464013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000082495484,0.00012506697,0.0001627775,0.00013013833,0.0000665533,0.00002575331,0.00029205508,0.000058688885,0.00004038641],"category_scores_gemma":[0.00024392182,0.00010888134,0.00007125224,0.0004437057,0.00011514739,0.00008598174,0.000102913815,0.00018857034,0.000042362557],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004901441,0.000074965385,0.00085108523,0.000026226959,0.0000025671652,0.000025135878,0.000030336414,0.000008254376,0.9862416,0.0037250596,0.00096725614,0.007998536],"study_design_scores_gemma":[0.0012680842,0.0004973128,0.7992612,0.000076609824,0.00002080085,0.00008186371,0.000041309555,0.002549507,0.17643067,0.0040554428,0.015364512,0.00035270178],"about_ca_topic_score_codex":0.0000039397214,"about_ca_topic_score_gemma":4.412396e-7,"teacher_disagreement_score":0.8098109,"about_ca_system_score_codex":0.00001669204,"about_ca_system_score_gemma":0.000017556535,"threshold_uncertainty_score":0.44400522},"labels":[],"label_agreement":null},{"id":"W4412830850","doi":"10.1101/2025.07.29.667496","title":"Decision signals in the absence of spiking activity in primate visual cortex","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research","keywords":"Local field potential; Perception; Sensory system; Neuroscience; Correlation; Primate; Psychology; Visual cortex; Computer science; Communication; Mathematics","score_opus":0.022493184540760054,"score_gpt":0.2771020130417133,"score_spread":0.25460882850095323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412830850","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99677026,0.000056673955,0.0011530037,0.00011824721,0.0009377494,0.0007974243,0.00007776918,0.000063498235,0.000025347817],"genre_scores_gemma":[0.99910927,0.00017501916,0.0002349104,0.00031553823,0.000056086217,0.000080117556,5.3435738e-8,0.000026336797,0.0000026457994],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99709016,0.0003811142,0.000581113,0.00097017415,0.00055914104,0.00041827897],"domain_scores_gemma":[0.9977898,0.0008009075,0.00046350894,0.00078039896,0.00010892932,0.000056455923],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011806411,0.0003611313,0.0004967175,0.0004857547,0.000090551235,0.00013747205,0.00080211065,0.0002954064,0.0000103909015],"category_scores_gemma":[0.0010139736,0.00030930975,0.00011672823,0.0012766465,0.000118651566,0.0001909503,0.00054522423,0.00092637376,0.0000068725763],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000078345256,0.00022525886,0.0060851765,0.00019346946,0.0000036828205,0.00006177203,0.000011672786,0.00069113733,0.99208623,0.00051785633,0.0000104073515,0.000034997658],"study_design_scores_gemma":[0.00036052268,0.00005810173,0.38314867,0.0009289539,0.000010987523,1.8204258e-8,0.0000021934216,0.017561974,0.59744453,0.000033525375,0.00010264768,0.00034783586],"about_ca_topic_score_codex":0.00011759537,"about_ca_topic_score_gemma":0.000023718163,"teacher_disagreement_score":0.39464167,"about_ca_system_score_codex":0.0001956343,"about_ca_system_score_gemma":0.00033834702,"threshold_uncertainty_score":0.9999359},"labels":[],"label_agreement":null},{"id":"W4412987884","doi":"10.1101/2025.08.04.668381","title":"Noisy neural systems with static and dynamic Hopf bifurcation parameters","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Coastal Health; University of British Columbia","funders":"","keywords":"Hopf bifurcation; Bifurcation; Biological applications of bifurcation theory; Computer science; Neural system; Control theory (sociology); Artificial intelligence; Physics; Nonlinear system; Psychology; Neuroscience","score_opus":0.014808186437812135,"score_gpt":0.21916318129301918,"score_spread":0.20435499485520703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412987884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99256665,0.00021780124,0.002957361,0.00043398884,0.0019052179,0.0012043946,0.00032511997,0.0003796836,0.000009805112],"genre_scores_gemma":[0.9981695,0.00021723722,0.00073131593,0.0004839913,0.00005582849,0.00023636002,5.650697e-7,0.000069122725,0.00003612268],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970852,0.00025074638,0.00044611061,0.0013173107,0.0004211473,0.000479445],"domain_scores_gemma":[0.9980389,0.00024952824,0.0004294827,0.00090771186,0.00018333385,0.00019102823],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026868397,0.00053580664,0.00049062853,0.0003768747,0.00023053879,0.00053931115,0.00038743357,0.0002737844,0.0000030242556],"category_scores_gemma":[0.0002780871,0.0004872155,0.00007114289,0.0006160731,0.00019117839,0.00023384404,0.00030455043,0.0006764887,0.00001127525],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013932501,0.00014553322,0.002662344,0.001776097,0.00007688095,0.00010922384,0.000017867884,0.009556386,0.98340386,0.0019898661,0.00010246408,0.000020126623],"study_design_scores_gemma":[0.0016714786,0.00051175314,0.05645832,0.0018600819,0.00042049537,4.892204e-7,0.000014734031,0.83747,0.09805131,0.000018704539,0.0011165498,0.00240608],"about_ca_topic_score_codex":0.000094011506,"about_ca_topic_score_gemma":0.0000052453634,"teacher_disagreement_score":0.88535255,"about_ca_system_score_codex":0.00023360793,"about_ca_system_score_gemma":0.00026603875,"threshold_uncertainty_score":0.99975795},"labels":[],"label_agreement":null},{"id":"W4413028888","doi":"10.1007/978-3-032-00800-8_20","title":"Which Consciousness Can Be Artificialized? Local Percept-Perceiver Phenomenon for the Existence of Machine Consciousness","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Percept; Consciousness; Phenomenon; Computer science; Cognitive science; Artificial intelligence; Cognitive psychology; Psychology; Epistemology; Perception; Philosophy; Neuroscience","score_opus":0.02752114638250134,"score_gpt":0.26490488347339036,"score_spread":0.23738373709088903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413028888","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018504445,0.00014112573,0.9861889,0.0038959484,0.0035429453,0.0013923376,0.0002783561,0.000073523894,0.0026364357],"genre_scores_gemma":[0.99045014,0.000093247436,0.0028503868,0.0045520496,0.00024175819,0.00004125329,0.000015611055,0.000043401284,0.0017121439],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964784,0.000070844784,0.00061542296,0.001433871,0.00081106415,0.0005904328],"domain_scores_gemma":[0.99546236,0.0027510321,0.0003400603,0.0009315077,0.00041303673,0.000101986705],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0006925519,0.0005094272,0.0006351978,0.00042884366,0.0006189192,0.00021218201,0.0017104835,0.00025865668,0.000059103193],"category_scores_gemma":[0.0005202002,0.0003693333,0.00017016928,0.0007243712,0.0027494344,0.00014182822,0.0005046877,0.0006569081,0.0000034807815],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003851972,0.00017987144,0.00011327262,0.000557919,0.000038284095,0.0000432546,0.0027637028,0.09467906,0.054515336,0.100753196,0.00018063032,0.7457903],"study_design_scores_gemma":[0.0006929681,0.00037475125,0.000096430624,0.0004523936,0.000070625065,0.000058232934,0.000006638731,0.91639024,0.0142362295,0.06404314,0.0027618643,0.0008164685],"about_ca_topic_score_codex":0.00021783347,"about_ca_topic_score_gemma":0.0031613712,"teacher_disagreement_score":0.9885997,"about_ca_system_score_codex":0.00024558438,"about_ca_system_score_gemma":0.0006624321,"threshold_uncertainty_score":0.99996454},"labels":[],"label_agreement":null},{"id":"W4413092926","doi":"10.7554/elife.98002.3","title":"Single neurons and networks in the mouse claustrum integrate input from widespread cortical sources","year":2025,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Clarendon Fund; Biotechnology and Biological Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Wellcome Trust","keywords":"Claustrum; Neuroscience; Efferent; Sensory system; Thalamus; Biology; Cortex (anatomy); Connectomics; Connectome; Functional connectivity","score_opus":0.023399635794143593,"score_gpt":0.24709854787755886,"score_spread":0.22369891208341527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413092926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953696,0.000038997314,0.0007728804,0.002652954,0.00035615615,0.00012521466,0.000007973818,0.000039208946,0.00063698273],"genre_scores_gemma":[0.99122,0.000048892038,0.000016893231,0.008184486,0.000060412433,0.000007945394,0.0000037944942,0.000006716856,0.00045086173],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99905497,0.0001983532,0.00015705237,0.00027675243,0.00012809377,0.00018477826],"domain_scores_gemma":[0.99895525,0.00078496523,0.000033292235,0.00018328114,0.00000949176,0.00003370039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001244715,0.00009793538,0.00010168573,0.000049876297,0.00012752943,0.00013630516,0.00014726204,0.000054883112,0.000008976032],"category_scores_gemma":[0.0005832551,0.000065943066,0.000025426234,0.00025511862,0.0001231175,0.00007814989,0.000084684245,0.00034947862,0.0000060846814],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028376386,0.0004264412,0.051944006,0.000013964162,0.0000116476795,0.0001311973,0.00079175644,0.0022660273,0.8934777,0.017056597,0.011296288,0.022300633],"study_design_scores_gemma":[0.0019453459,0.0006660528,0.21144137,0.00016744647,0.00007394829,0.00004303597,0.0008423643,0.5329683,0.20094751,0.005734221,0.044424403,0.000746054],"about_ca_topic_score_codex":0.000110153975,"about_ca_topic_score_gemma":0.00019703152,"teacher_disagreement_score":0.69253016,"about_ca_system_score_codex":0.000013328154,"about_ca_system_score_gemma":0.000012059589,"threshold_uncertainty_score":0.26890802},"labels":[],"label_agreement":null},{"id":"W4413112980","doi":"10.1038/s42003-025-08603-w","title":"Author Correction: Infra-slow scale-free dynamics modulate the connection of neural and behavioral variability during attention","year":2025,"lang":"en","type":"erratum","venue":"Communications Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Ottawa","funders":"","keywords":"Connection (principal bundle); Dynamics (music); Scale (ratio); Psychology; Cognitive psychology; Neuroscience; Cognitive science; Computer science; Statistical physics; Mathematics; Physics; Geography; Cartography; Geometry","score_opus":0.03820363015901245,"score_gpt":0.31237738631919243,"score_spread":0.27417375616017997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413112980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8384699,0.00087627984,0.0036694729,0.02757616,0.100761645,0.0031548538,0.001716919,0.00058107066,0.023193706],"genre_scores_gemma":[0.9534041,0.0009012315,0.00012694723,0.00013296692,0.00014945112,0.00012895554,0.0008605462,0.00002468314,0.044271104],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973529,0.0011797135,0.00057031086,0.00054628344,0.00011605387,0.00023473053],"domain_scores_gemma":[0.9957463,0.00072969485,0.00048584698,0.0028084787,0.00018561275,0.000044078566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004570105,0.00026007628,0.0003725211,0.00021576342,0.00086222985,0.000056904006,0.0013251771,0.0005208429,0.000014361417],"category_scores_gemma":[0.00095708657,0.00021559557,0.00014711803,0.000531202,0.0010019949,0.000121188976,0.00141175,0.0012704359,0.000002123074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010597482,0.003980567,0.08307151,0.001794227,0.00037116202,0.000008117321,0.0012561852,0.0010064052,0.28384095,0.13745195,0.2850878,0.2010714],"study_design_scores_gemma":[0.0010406896,0.00061356096,0.09693888,0.0002679686,0.00043879048,0.00017811192,0.0002164164,0.8555855,0.00072077423,0.018485796,0.024701871,0.00081161765],"about_ca_topic_score_codex":0.00023983592,"about_ca_topic_score_gemma":0.0008511486,"teacher_disagreement_score":0.85457915,"about_ca_system_score_codex":0.00017653374,"about_ca_system_score_gemma":0.00008315907,"threshold_uncertainty_score":0.8791733},"labels":[],"label_agreement":null},{"id":"W4413116083","doi":"10.1038/s42003-025-08612-9","title":"Pathfinding: a neurodynamical account of intuition","year":2025,"lang":"en","type":"review","venue":"Communications Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Canadian Institutes of Health Research; Institut de Valorisation des Données; Canada First Research Excellence Fund; Natural Sciences and Engineering Research Council of Canada; Wellcome Trust","keywords":"Pathfinding; Intuition; Computer science; Psychology; Cognitive science; Theoretical computer science","score_opus":0.14274784190534628,"score_gpt":0.40560938261032736,"score_spread":0.2628615407049811,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413116083","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000015149682,0.9911923,0.00042950347,0.00021180799,0.0005095005,0.0006178353,0.00029962044,0.00007239414,0.00665191],"genre_scores_gemma":[0.0013150044,0.99757457,0.00017761193,0.00014070256,0.000021780643,0.00014807821,0.00041161623,0.000015790361,0.00019483402],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.997955,0.0008490961,0.00059560343,0.00037100675,0.000058417467,0.00017087092],"domain_scores_gemma":[0.99561715,0.002009123,0.00043358505,0.0018623393,0.000048314927,0.00002950192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016396261,0.00021273523,0.0007803818,0.00035931444,0.00015592421,0.000017366136,0.0016292651,0.00030264378,0.000020722155],"category_scores_gemma":[0.0010895837,0.00017526586,0.00028825438,0.0006881087,0.00038595614,0.000042760676,0.000970197,0.0005145535,0.000035886253],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020555087,0.000097994016,0.0000027087503,0.0015739438,0.00000905033,4.5964936e-7,0.000005620593,1.7144848e-7,0.00044747,0.20433965,0.00010267074,0.7934182],"study_design_scores_gemma":[0.000058503443,0.000063492625,0.0000021432293,0.0015327594,0.00012157873,0.000019320645,0.0000017740762,0.00030558172,0.0000115148905,0.0048899376,0.9928397,0.00015371761],"about_ca_topic_score_codex":0.0000069413627,"about_ca_topic_score_gemma":0.0000069366656,"teacher_disagreement_score":0.992737,"about_ca_system_score_codex":0.000068552625,"about_ca_system_score_gemma":0.0001694087,"threshold_uncertainty_score":0.7147134},"labels":[],"label_agreement":null},{"id":"W4413116984","doi":"10.1038/s41398-025-03510-4","title":"Temporal imprecision and its dynamics in schizophrenia","year":2025,"lang":"en","type":"article","venue":"Translational Psychiatry","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Ministry of Science and Technology, Taiwan; Universität Wien","keywords":"Millisecond; Schizophrenia (object-oriented programming); Psychology; Mismatch negativity; Coherence (philosophical gambling strategy); Electroencephalography; Neuroscience; Audiology; Cognitive psychology; Physics; Mathematics; Statistics","score_opus":0.015621004506985283,"score_gpt":0.27280331580956085,"score_spread":0.2571823113025756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413116984","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98367983,0.00022894533,0.0012392886,0.008552138,0.0010995578,0.00020160055,0.00003752943,0.000042479292,0.0049186205],"genre_scores_gemma":[0.9982389,0.000028490755,0.00062722625,0.0006662815,0.000040211504,0.000005832958,0.00001488987,0.00000699131,0.00037117896],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918646,0.0000411711,0.00020565084,0.0002957226,0.00014706535,0.00012395762],"domain_scores_gemma":[0.9997403,0.00010449094,0.000030288315,0.0000813662,0.00001285389,0.00003072245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009419498,0.00009689291,0.000092290684,0.00018469086,0.00009075367,0.00002992565,0.00008683311,0.00006640503,0.000023859666],"category_scores_gemma":[0.000028342025,0.00009271179,0.00003520211,0.00038595233,0.000026192216,0.00016108155,0.000013405875,0.00016343426,0.000009737049],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045574905,0.00012913073,0.06010722,0.00005213682,0.0000038353423,0.00000236367,0.00002177911,0.00037313893,0.014149883,0.90634114,0.0001854032,0.01817821],"study_design_scores_gemma":[0.0026274573,0.0000683649,0.24066435,0.000107867905,0.000011153651,0.000013157195,0.000024467125,0.45926565,0.0006338921,0.2957061,0.00060502667,0.0002725064],"about_ca_topic_score_codex":0.000008754455,"about_ca_topic_score_gemma":0.00032522535,"teacher_disagreement_score":0.61063504,"about_ca_system_score_codex":0.000022528742,"about_ca_system_score_gemma":0.00006849968,"threshold_uncertainty_score":0.3780677},"labels":[],"label_agreement":null},{"id":"W4413140320","doi":"10.1371/journal.pbio.3003268","title":"Transfer of motor learning is associated with patterns of activity in the default mode network","year":2025,"lang":"en","type":"article","venue":"PLoS Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Biology; Default mode network; Mode (computer interface); Motor learning; Neuroscience; Computer science; Human–computer interaction; Functional connectivity","score_opus":0.02551393698535461,"score_gpt":0.25783637779429497,"score_spread":0.23232244080894035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413140320","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99829406,0.000003925037,0.0008083172,0.0004138485,0.00004630966,0.00013122297,0.000026177293,0.0000092022365,0.0002669612],"genre_scores_gemma":[0.99932796,0.000013874528,0.0000029129676,0.00051229674,0.000007541071,0.000009556707,0.0000027962797,0.000003276792,0.00011978213],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99927634,0.0002881483,0.000103673265,0.00015048603,0.00005458523,0.0001267819],"domain_scores_gemma":[0.99936116,0.00048486877,0.000042682484,0.000087086584,0.00001781959,0.0000063946786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010712103,0.00005752853,0.00014330332,0.000038416503,0.000032950637,0.0000027753433,0.00011754359,0.00006079184,0.000007576636],"category_scores_gemma":[0.00014160485,0.000035243083,0.00002915451,0.00022011137,0.000051702198,0.00002860931,0.000015556541,0.00016512269,4.0205558e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011919467,0.00012019715,0.09056892,0.000014682281,0.000012661844,0.000001325605,0.0001281033,0.0008867322,0.9060551,0.0013835158,0.000008188401,0.00070137065],"study_design_scores_gemma":[0.0014425017,0.0016298655,0.28800333,0.00022122015,0.00006578548,0.0000027159242,0.0000744701,0.11282023,0.5928428,0.0023805841,0.00028752696,0.00022896558],"about_ca_topic_score_codex":0.00009258553,"about_ca_topic_score_gemma":0.00015430633,"teacher_disagreement_score":0.3132123,"about_ca_system_score_codex":0.000009363685,"about_ca_system_score_gemma":0.000013765667,"threshold_uncertainty_score":0.14371713},"labels":[],"label_agreement":null},{"id":"W4413151733","doi":"10.2139/ssrn.5389005","title":"Theory: Electromagnetic Waves Mediate Reciprocal Interactions between the Brain, Consciousness and the Mind in the Acquisition and Utilization of Knowledge","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Columbia College","funders":"","keywords":"Reciprocal; Consciousness; Cognitive science; Psychology; Brain waves; Physics; Neuroscience; Philosophy; Electroencephalography","score_opus":0.020661851903027103,"score_gpt":0.2905400003524187,"score_spread":0.2698781484493916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413151733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97868776,0.0035211935,0.0025134312,0.013326939,0.0004499048,0.00082682195,0.00002410199,0.000010425616,0.00063944084],"genre_scores_gemma":[0.99197394,0.006942035,0.000004174183,0.00038694878,0.00019899174,0.00003594874,0.000009366218,0.000011602406,0.00043700633],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.996199,0.0020459916,0.0004540508,0.00035690528,0.00024746035,0.0006965927],"domain_scores_gemma":[0.9954272,0.003810312,0.00038403255,0.00026474256,0.00008557825,0.000028126964],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.004375536,0.00022465581,0.00029761618,0.00019180762,0.00045908111,0.00017119425,0.00049097365,0.00012309138,0.0000072812004],"category_scores_gemma":[0.0008788338,0.00011258007,0.000099684454,0.00036053907,0.00058921194,0.00011042253,0.00023460184,0.0029232295,8.7277596e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012918963,0.00021471054,0.0018555607,0.00017015128,0.00022053585,0.000004898058,0.009935864,0.000106280844,0.011204219,0.7771099,0.00018753813,0.19769844],"study_design_scores_gemma":[0.0013073364,0.00031110234,0.0059762252,0.00017558507,0.00021918568,0.00034885228,0.0016042159,0.004868819,0.0010613651,0.98354566,0.0003897379,0.00019191648],"about_ca_topic_score_codex":0.000029123406,"about_ca_topic_score_gemma":0.0008131623,"teacher_disagreement_score":0.20643575,"about_ca_system_score_codex":0.00017322601,"about_ca_system_score_gemma":0.00072669855,"threshold_uncertainty_score":0.9993771},"labels":[],"label_agreement":null},{"id":"W4413151764","doi":"10.1101/2025.08.08.669382","title":"Reverse Predictivity: Going Beyond One-Way Mapping to Compare Artificial Neural Network Models and Brains","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Simons Foundation Autism Research Initiative","keywords":"Artificial neural network; Computer science; Artificial intelligence; Machine learning","score_opus":0.0491881464160301,"score_gpt":0.23802688435895322,"score_spread":0.1888387379429231,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413151764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98079395,0.00013387283,0.011288828,0.0014826058,0.003455969,0.0014967478,0.0006195344,0.00062352547,0.00010498655],"genre_scores_gemma":[0.9936513,0.000080515136,0.0020564366,0.003079533,0.0008684169,0.00014415369,5.9771577e-7,0.00008384054,0.00003523463],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99575615,0.00032093213,0.00065950904,0.001859576,0.0005357629,0.00086806336],"domain_scores_gemma":[0.9976697,0.0003117461,0.00036028036,0.0010595846,0.00019709893,0.00040157538],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00060274475,0.0006533096,0.0007470434,0.00039000457,0.00057697063,0.00054853404,0.0005631634,0.00029611692,0.000011304613],"category_scores_gemma":[0.00046075106,0.0007607339,0.00016068766,0.0010289388,0.00014614352,0.00038561947,0.0014235781,0.0011225919,0.000019160978],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013917351,0.00017537111,0.0020919242,0.00057280174,0.00006517741,0.0000911545,0.000051630934,0.07580254,0.90877914,0.010571427,0.0016108082,0.000048864866],"study_design_scores_gemma":[0.0008543553,0.00017919361,0.031552535,0.0022535229,0.00024722092,1.8428123e-7,0.000011174968,0.86208117,0.09400549,0.0005778483,0.005589613,0.0026477035],"about_ca_topic_score_codex":0.00005217976,"about_ca_topic_score_gemma":0.000023594896,"teacher_disagreement_score":0.8147736,"about_ca_system_score_codex":0.00024029412,"about_ca_system_score_gemma":0.00025472275,"threshold_uncertainty_score":0.99948436},"labels":[],"label_agreement":null},{"id":"W4413160539","doi":"10.3390/make7030082","title":"Multilayer Perceptron Mapping of Subjective Time Duration onto Mental Imagery Vividness and Underlying Brain Dynamics: A Neural Cognitive Modeling Approach","year":2025,"lang":"en","type":"article","venue":"Machine Learning and Knowledge Extraction","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children's Hospital of Eastern Ontario; Carleton University","funders":"","keywords":"Cognition; Duration (music); Dynamics (music); Mental image; Psychology; Multilayer perceptron; Artificial intelligence; Neural correlates of consciousness; Cognitive psychology; Artificial neural network; Neuroimaging; Computer science; Neuroscience; Art","score_opus":0.028333824630308542,"score_gpt":0.3081942580353396,"score_spread":0.2798604334050311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413160539","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9313526,0.00018649602,0.064093575,0.00020261647,0.00023774971,0.0003280555,0.000010848468,0.000091480826,0.003496558],"genre_scores_gemma":[0.9972997,0.00005063327,0.0001635883,0.000050999995,0.000036813766,0.000018587105,0.00005743551,0.0000205649,0.00230173],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99850804,0.00035684416,0.0002932966,0.00051717786,0.000121700024,0.00020294341],"domain_scores_gemma":[0.999215,0.00044332872,0.00015412447,0.00006309294,0.00007587947,0.000048590846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036636728,0.0002047003,0.00022948913,0.0002865811,0.0005291347,0.00010502903,0.000045416004,0.000094571034,0.000009576899],"category_scores_gemma":[0.0004919691,0.00020059098,0.00005731009,0.00027531042,0.00008568237,0.00044468077,0.00007763746,0.00047111037,0.000003165936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033023884,0.00021268683,0.004163548,0.00020295956,0.00002671874,0.0000024168708,0.003142415,0.0020445397,0.83790386,0.00021010728,0.000007512412,0.151753],"study_design_scores_gemma":[0.00069822924,0.00009777374,0.005279567,0.000111363064,0.000030092522,0.00004149553,0.0018251956,0.9895328,0.0020669175,0.00011281008,0.000027978176,0.00017574186],"about_ca_topic_score_codex":0.00016655869,"about_ca_topic_score_gemma":0.00006935237,"teacher_disagreement_score":0.98748827,"about_ca_system_score_codex":0.00011281192,"about_ca_system_score_gemma":0.000027004518,"threshold_uncertainty_score":0.81798625},"labels":[],"label_agreement":null},{"id":"W4413163765","doi":"10.7554/elife.106557.2","title":"SpikeMAP: An unsupervised pipeline for the identification of cortical excitatory and inhibitory neurons in high-density multielectrode arrays with ground-truth validation","year":2025,"lang":"en","type":"preprint","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ottawa","keywords":"Pipeline (software); Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Neuroscience; Ground truth; Multielectrode array; Identification (biology); Computer science; Artificial intelligence; Chemistry; Psychology; Biology; Microelectrode","score_opus":0.029402196794725156,"score_gpt":0.27081033618949496,"score_spread":0.2414081393947698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413163765","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9587024,0.000026033156,0.038998652,0.00039838266,0.00076350383,0.0009641946,0.0000895376,0.00004684847,0.000010482971],"genre_scores_gemma":[0.9989411,0.00011659792,0.00018965121,0.0003156583,0.0001334498,0.00010461095,0.00008393099,0.00001876784,0.00009618138],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980181,0.000260485,0.0005185783,0.0006792544,0.0003293327,0.00019427773],"domain_scores_gemma":[0.9982551,0.00077782554,0.0002848109,0.00048045305,0.00014877698,0.00005307263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055556226,0.00020683072,0.00026786805,0.00015671567,0.00016374304,0.000083578,0.00019224687,0.00013765409,0.000001905627],"category_scores_gemma":[0.0008385371,0.00015944098,0.000054853866,0.00019699607,0.00016837462,0.00014561972,0.00013636629,0.00047417963,6.876381e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068285374,0.00033280381,0.0016177132,0.00035751826,0.000013434908,0.0000056372646,0.00036917554,0.0060029016,0.98218715,0.0056868065,0.000110811736,0.0026331912],"study_design_scores_gemma":[0.0015322977,0.00029952664,0.12995012,0.00014469036,0.00014659938,0.0000087753815,0.00012649319,0.37790608,0.48705178,0.0023538675,0.00006718659,0.00041255538],"about_ca_topic_score_codex":0.00016221823,"about_ca_topic_score_gemma":0.00012883882,"teacher_disagreement_score":0.49513537,"about_ca_system_score_codex":0.000058267164,"about_ca_system_score_gemma":0.0001269053,"threshold_uncertainty_score":0.6501815},"labels":[],"label_agreement":null},{"id":"W4413181502","doi":"10.1109/isscs66034.2025.11105547","title":"Synchronization Regimes in Chaotic Spiking-Bursting Neurons: A Map-Based Approach","year":2025,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Bursting; Synchronization (alternating current); Computer science; Chaotic; Artificial intelligence; Neuroscience; Computer network","score_opus":0.021839771772656266,"score_gpt":0.24830108144891255,"score_spread":0.22646130967625627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413181502","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4776904,0.0000802685,0.40909928,0.0075225695,0.0018255314,0.001369563,0.000004580972,0.00067453284,0.101733275],"genre_scores_gemma":[0.9935993,0.0000037225627,0.00047247641,0.0026484586,0.000024669933,0.000021505384,0.0000051272727,0.000010817036,0.0032139479],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989554,0.000089992514,0.0001885101,0.0004132836,0.00013716276,0.00021563725],"domain_scores_gemma":[0.9995226,0.00018881267,0.00005180691,0.00019489916,0.000017231674,0.00002464068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000129451,0.000110839035,0.00010997044,0.00023949046,0.000105071886,0.000073639,0.00014471698,0.00004694539,0.000019376226],"category_scores_gemma":[0.0004946742,0.00009963776,0.000033482633,0.0007679804,0.000043466942,0.000121789424,0.00004515233,0.0001389246,0.000012829161],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020254386,0.0012978009,0.027585316,0.00096405187,0.000009986082,0.00010294428,0.00025009573,0.22147566,0.3016285,0.3774419,0.0035556583,0.06548554],"study_design_scores_gemma":[0.00041170942,0.000042334803,0.00212941,0.00006265444,0.000005108555,0.0000024290687,0.000021629563,0.98599285,0.009421298,0.0011156086,0.0006715761,0.0001234094],"about_ca_topic_score_codex":0.000033294327,"about_ca_topic_score_gemma":0.000011321922,"teacher_disagreement_score":0.7645172,"about_ca_system_score_codex":0.00006312851,"about_ca_system_score_gemma":0.00005437836,"threshold_uncertainty_score":0.40631098},"labels":[],"label_agreement":null},{"id":"W4413181688","doi":"10.3389/fncom.2025.1639829","title":"Maximum likelihood estimation of spatially dependent interactions in large populations of cortical neurons","year":2025,"lang":"en","type":"article","venue":"Frontiers in Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Spike (software development); Evoked activity; Poisson distribution; Spatial ecology; Spike train; Scale (ratio); Cortical neurons; Artificial intelligence; Neuroscience; Mathematics; Biology; Cartography; Geography","score_opus":0.024784617512466932,"score_gpt":0.3018134070359115,"score_spread":0.27702878952344456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413181688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5163465,0.0000063720204,0.4807447,0.0005463228,0.0018424524,0.0002224698,0.000043225828,0.00001545119,0.00023252136],"genre_scores_gemma":[0.9915156,0.0000050582457,0.007980327,0.00042469983,0.0000061283167,0.000013071085,0.000009180501,0.000006288461,0.000039654074],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99824053,0.00017519784,0.00057854847,0.0004039062,0.0003733093,0.00022849214],"domain_scores_gemma":[0.9992741,0.00029232656,0.00018252208,0.00015237353,0.00005858311,0.000040135652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000218732,0.00011129182,0.00019980928,0.00067849125,0.00010305434,0.000025738142,0.00026159486,0.0000299084,0.0000054944703],"category_scores_gemma":[0.0011898801,0.00012037597,0.000052433857,0.0013818066,0.00016572655,0.00031461316,0.00010282887,0.00024019055,9.661221e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006383665,0.0005638016,0.06602807,0.000033072563,9.769444e-7,0.000011041041,0.00006642422,0.86649054,0.040816907,0.02107832,0.00010442273,0.00474257],"study_design_scores_gemma":[0.00033008703,0.000043720975,0.24234754,0.000036728765,0.000004129848,0.00000433103,0.000011795072,0.7192183,0.0022926782,0.0356326,0.00001630931,0.000061752275],"about_ca_topic_score_codex":0.000034667868,"about_ca_topic_score_gemma":0.00009049166,"teacher_disagreement_score":0.4751691,"about_ca_system_score_codex":0.00007012365,"about_ca_system_score_gemma":0.00014910354,"threshold_uncertainty_score":0.49087894},"labels":[],"label_agreement":null},{"id":"W4413185371","doi":"10.1101/2025.08.09.669461","title":"Dissociable Spatial and Feature Tuning of Gamma and Alpha Rhythms in Human Visual Cortex","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bishop's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Alpha rhythm; Alpha (finance); Visual cortex; Feature (linguistics); Neuroscience; Rhythm; Psychology; Cognitive psychology; Communication; Artificial intelligence; Pattern recognition (psychology); Electroencephalography; Computer science; Physics; Developmental psychology; Philosophy","score_opus":0.012413762399188673,"score_gpt":0.24270814610391064,"score_spread":0.23029438370472197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413185371","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980883,0.00021233773,0.00020230193,0.00016080022,0.0006056531,0.00046072635,0.00015581293,0.000085345266,0.00002873019],"genre_scores_gemma":[0.99926555,0.00018814961,0.00015915211,0.00015089821,0.000118739365,0.00003665904,3.2183536e-7,0.00003584215,0.00004466957],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99800044,0.00013601167,0.00035464836,0.0009072796,0.00025532188,0.00034631632],"domain_scores_gemma":[0.9989813,0.00012699123,0.0003186048,0.00036372535,0.00009451861,0.0001148814],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002892038,0.00034913217,0.00049719954,0.00028075566,0.00016291195,0.00014085342,0.0001902013,0.0003716751,0.000009533121],"category_scores_gemma":[0.00028145578,0.00037192067,0.00005786274,0.00039026566,0.00017568881,0.00012779846,0.0005506893,0.0007005739,7.347195e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028755683,0.000067788584,0.012461391,0.0003591082,0.000012248074,0.000042391322,0.00001356173,0.000016206843,0.98564786,0.0013109305,0.000026362624,0.000013408448],"study_design_scores_gemma":[0.0011336183,0.00017878455,0.55990446,0.0010972674,0.00007732144,8.804121e-8,0.0000069341663,0.015085704,0.42096263,0.00003965893,0.0006785062,0.0008350058],"about_ca_topic_score_codex":0.00018364025,"about_ca_topic_score_gemma":0.000025395364,"teacher_disagreement_score":0.5646852,"about_ca_system_score_codex":0.00009058663,"about_ca_system_score_gemma":0.00014350162,"threshold_uncertainty_score":0.9998733},"labels":[],"label_agreement":null},{"id":"W4413269766","doi":"10.1371/journal.pcsy.0000057","title":"The impact of excitability heterogeneity and synaptic coupling on resilience and stability of a macro-scale brain network","year":2025,"lang":"en","type":"article","venue":"PLOS complex systems.","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Brain Institute; University of Ottawa; University Health Network; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Magnetoencephalography; Neuroscience; Coupling (piping); Network dynamics; Computer science; Resilience (materials science); Biological system; Psychology; Physics; Biology; Electroencephalography; Mathematics","score_opus":0.043957154205893495,"score_gpt":0.29253579186205236,"score_spread":0.24857863765615887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413269766","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99850976,0.00018527546,0.00016670111,0.00012217119,0.00011864934,0.0006020798,0.00005004134,0.000023282346,0.00022202347],"genre_scores_gemma":[0.9998834,0.000023347486,0.000012847462,0.00003159544,0.000015729645,0.00001599755,8.334284e-7,0.0000062050053,0.00001003279],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99844325,0.0002815266,0.00042732045,0.00040503894,0.0002084776,0.00023441925],"domain_scores_gemma":[0.99695915,0.0022804486,0.00019681925,0.00044237007,0.00006528215,0.000055926055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006964046,0.0001398558,0.0003258954,0.000035172154,0.0002642697,0.00005230961,0.00017764606,0.000044579858,0.0000022884294],"category_scores_gemma":[0.0006416083,0.0000922256,0.00006773629,0.00027812482,0.00046530893,0.00005894073,0.00013696638,0.00011680026,3.4637472e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035941988,0.00016262176,0.1592252,0.0005082555,0.000039223716,0.0000010780021,0.00008243189,0.0050067953,0.829747,0.004508467,0.00006832693,0.00029118356],"study_design_scores_gemma":[0.00033315577,0.00044420583,0.41759327,0.00020064789,0.000017277638,0.00000745556,0.00007061392,0.566434,0.013433772,0.001323023,0.000015568152,0.00012697943],"about_ca_topic_score_codex":0.00019840118,"about_ca_topic_score_gemma":0.00008493796,"teacher_disagreement_score":0.8163132,"about_ca_system_score_codex":0.000058844354,"about_ca_system_score_gemma":0.00003699253,"threshold_uncertainty_score":0.37608507},"labels":[],"label_agreement":null},{"id":"W4413313089","doi":"10.1101/2025.08.17.670701","title":"Cortical GABAergic inhibition dynamics around hippocampal sharp-wave ripples","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; University of Lethbridge","keywords":"GABAergic; Hippocampal formation; Dynamics (music); Neuroscience; Physics; Geology; Psychology; Acoustics","score_opus":0.02590693385671418,"score_gpt":0.2317005949924,"score_spread":0.2057936611356858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413313089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9868746,0.000116316565,0.0049889507,0.00066711585,0.004031492,0.001004025,0.0014197051,0.0007522823,0.00014550553],"genre_scores_gemma":[0.9969768,0.00025717865,0.0007347914,0.0011223874,0.0005508233,0.00018355419,0.000003310016,0.00010200463,0.000069167734],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99544334,0.00034577222,0.0008010839,0.001876774,0.00070195814,0.0008310448],"domain_scores_gemma":[0.9972702,0.00034562888,0.00047319572,0.0012806127,0.00029690322,0.00033341022],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00045930964,0.00077848387,0.00067593507,0.00044017675,0.00045359047,0.00057748734,0.00047638355,0.00075945386,0.0000718747],"category_scores_gemma":[0.0010013799,0.00083166576,0.0003077155,0.0008576924,0.0003019425,0.0002859588,0.00094627665,0.0017597887,0.00010830991],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009386369,0.0002938688,0.0008648285,0.00043416148,0.000048812915,0.00029553712,0.000005589744,0.0003047263,0.96237636,0.034908667,0.0003645215,0.000009052115],"study_design_scores_gemma":[0.0016632426,0.00028846037,0.03168391,0.00151553,0.00037970667,5.611616e-7,0.000011497497,0.25664964,0.70142645,0.00045214655,0.0028634656,0.0030653547],"about_ca_topic_score_codex":0.000039922958,"about_ca_topic_score_gemma":0.0000135233495,"teacher_disagreement_score":0.2609499,"about_ca_system_score_codex":0.00077180663,"about_ca_system_score_gemma":0.00056970166,"threshold_uncertainty_score":0.99941343},"labels":[],"label_agreement":null},{"id":"W4413348216","doi":"10.1101/2025.08.14.670214","title":"Distributed theta networks support the control of working memory: Evidence from scalp and intracranial EEG","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Institute of Neurological Disorders and Stroke; National Institutes of Health; Northwestern University","keywords":"Scalp; Electroencephalography; Control (management); Computer science; Psychology; Neuroscience; Cognitive psychology; Medicine; Artificial intelligence","score_opus":0.023409301231887995,"score_gpt":0.22421150036588602,"score_spread":0.20080219913399802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413348216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9630343,0.0008713094,0.028874725,0.0014166374,0.0031899812,0.0012342735,0.0011393753,0.00022915957,0.0000102572385],"genre_scores_gemma":[0.9980669,0.00066422095,0.00014815379,0.0006177011,0.0003680604,0.00008579608,6.3436045e-7,0.00004169761,0.0000068467843],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969052,0.00042326684,0.0006253332,0.0011312615,0.00044005652,0.00047487768],"domain_scores_gemma":[0.99661505,0.0012775051,0.0006073107,0.0011586222,0.00019428301,0.00014721174],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00076495187,0.0004787512,0.0006325944,0.00011285063,0.0002870559,0.00030798194,0.0008796615,0.00040610335,0.000030752737],"category_scores_gemma":[0.0011983288,0.00038117156,0.00016670907,0.0005583211,0.00035711742,0.00015867106,0.00070294825,0.0010444729,0.0000043001696],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032330526,0.000110870795,0.013837292,0.00016969182,0.00011813146,0.000080051905,0.000015566671,0.0030362294,0.98103166,0.00094713876,0.00025253545,0.000077508455],"study_design_scores_gemma":[0.0023800544,0.00024730456,0.36838278,0.0036934263,0.0009823147,1.831948e-7,0.0000091134925,0.37136978,0.24890187,0.00009401775,0.0019848791,0.001954281],"about_ca_topic_score_codex":0.00010289158,"about_ca_topic_score_gemma":0.00000798702,"teacher_disagreement_score":0.7321298,"about_ca_system_score_codex":0.0001017404,"about_ca_system_score_gemma":0.00028649412,"threshold_uncertainty_score":0.99986404},"labels":[],"label_agreement":null},{"id":"W4413362125","doi":"10.21203/rs.3.rs-5875634/v1","title":"Short-term and long-term test-retest reliability of memory, complexity, and randomness of EEG microstates sequence","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Term (time); Randomness; Sequence (biology); Reliability (semiconductor); Short-term memory; Computer science; Artificial intelligence; Psychology; Pattern recognition (psychology); Mathematics; Neuroscience; Statistics; Biology; Working memory; Physics; Genetics; Cognition","score_opus":0.12312215020300288,"score_gpt":0.4061604648916478,"score_spread":0.28303831468864493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413362125","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99532443,0.00026100376,0.000042089287,0.00052168994,0.00017816975,0.0016244656,0.0017182229,0.000035405727,0.00029453592],"genre_scores_gemma":[0.99797213,0.0014388574,0.00008060539,0.000023880859,0.0000247728,0.00006451805,0.00006545094,0.00001863777,0.0003111377],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99637246,0.0006687136,0.00058996957,0.0010814789,0.0008230271,0.00046435994],"domain_scores_gemma":[0.99428606,0.0038909628,0.0001776595,0.00083207985,0.00062200264,0.00019125864],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015367847,0.00029221768,0.00066863676,0.0003521271,0.00024200344,0.00014109045,0.00054786936,0.00022873319,0.00002188463],"category_scores_gemma":[0.004786416,0.00025546754,0.000118717944,0.00042894285,0.0023363547,0.00012955349,0.0023943188,0.0010186409,0.0000010145108],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004147626,0.00025885418,0.40751472,0.010263734,0.000011270782,0.000044164888,0.00022395032,0.00004069867,0.5754894,0.00034788303,0.000058036538,0.0053325],"study_design_scores_gemma":[0.0013509378,0.00055104564,0.78633916,0.0026412248,0.000035336983,0.00003443833,0.000050287228,0.0035379417,0.19744168,0.0075940937,0.000013333171,0.00041054655],"about_ca_topic_score_codex":0.0002456783,"about_ca_topic_score_gemma":0.00008688983,"teacher_disagreement_score":0.3788244,"about_ca_system_score_codex":0.000087156135,"about_ca_system_score_gemma":0.00027818058,"threshold_uncertainty_score":0.99998975},"labels":[],"label_agreement":null},{"id":"W4413401173","doi":"10.1016/j.celrep.2025.116167","title":"A consensus definition for deep layer 6 excitatory neurons in mouse somatosensory, visual, and motor cortex","year":2025,"lang":"en","type":"article","venue":"Cell Reports","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Science Foundation Graduate Research Fellowship Program; National Institute of Neurological Disorders and Stroke; National Institute of General Medical Sciences; National Institute on Deafness and Other Communication Disorders; National Eye Institute; National Institute of Mental Health; Discovery Institute; National Research Foundation of Korea; Natural Sciences and Engineering Research Council of Canada; Ministry of Science and ICT, South Korea; Boehringer Ingelheim Fonds; National Institutes of Health; Directorate for Biological Sciences; Korea Brain Research Institute; Johns Hopkins University; Esther A. and Joseph Klingenstein Fund; Brain and Behavior Research Foundation; National Science Foundation","keywords":"Neuroscience; Somatosensory system; Excitatory postsynaptic potential; Motor cortex; Visual cortex; Cortex (anatomy); Biology; Inhibitory postsynaptic potential; Stimulation","score_opus":0.03037147445719531,"score_gpt":0.2684529528887301,"score_spread":0.2380814784315348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413401173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957949,0.00005107181,0.00019655006,0.00012880184,0.00056517543,0.0005187061,0.000008934036,0.00006657514,0.0026692967],"genre_scores_gemma":[0.99643576,0.000033861314,0.000108697735,0.0008486408,0.000016897477,0.00006002189,0.000005094582,0.000017386901,0.002473666],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988261,0.00005565037,0.00032511255,0.00047219347,0.00010557885,0.00021534985],"domain_scores_gemma":[0.9992143,0.00036995113,0.0001393936,0.00018652418,0.00003223434,0.00005760634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001204525,0.00012680239,0.00015226148,0.00015563324,0.00011615844,0.000048793016,0.00003519295,0.00006897244,0.000006059073],"category_scores_gemma":[0.00045450247,0.00012820144,0.000051156807,0.00014107281,0.00008125577,0.000052939144,0.000037289075,0.00010474259,0.0000029927116],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004933866,0.00011682952,0.0018304642,0.00006726564,0.0000012570142,0.0003775302,0.000022307015,0.0000110913825,0.9961035,0.00063380145,0.00042273416,0.00036383618],"study_design_scores_gemma":[0.002753558,0.00079453964,0.06796398,0.00011631735,0.00007332672,0.001093649,0.0002565691,0.0570762,0.8325165,0.02407883,0.012304248,0.0009722784],"about_ca_topic_score_codex":0.000012740735,"about_ca_topic_score_gemma":0.000023318064,"teacher_disagreement_score":0.16358703,"about_ca_system_score_codex":0.000029790643,"about_ca_system_score_gemma":0.00005081776,"threshold_uncertainty_score":0.5227903},"labels":[],"label_agreement":null},{"id":"W4413479769","doi":"10.1101/2025.08.20.671381","title":"Source Reconstruction of Resting-State MEG and EEG Activity: A Technical Note on the Choice of Noise Covariance","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Columbian Hospital; Simon Fraser University","funders":"","keywords":"Covariance; Electroencephalography; Noise (video); Resting state fMRI; Speech recognition; Computer science; Econometrics; Mathematics; Psychology; Artificial intelligence; Statistics; Neuroscience","score_opus":0.023896142235295806,"score_gpt":0.24482763916206962,"score_spread":0.22093149692677383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413479769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99330956,0.000033313,0.0041528465,0.0006512862,0.00078582065,0.0006759543,0.00021826246,0.00013516378,0.000037808422],"genre_scores_gemma":[0.9986023,0.00014658966,0.0008495251,0.00022611917,0.00006127608,0.000059840615,3.577886e-8,0.00003327433,0.000021085818],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99778897,0.0002837493,0.00044723495,0.00086043566,0.0003507191,0.00026888918],"domain_scores_gemma":[0.99700403,0.0010094576,0.00075493654,0.00094339304,0.00020882781,0.000079337064],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005565283,0.00032865984,0.00045562594,0.00021626997,0.0001642636,0.000072669965,0.0004135221,0.00027407464,0.000004748118],"category_scores_gemma":[0.002719563,0.00027950542,0.00010707442,0.0006305197,0.0003813841,0.00010557731,0.00044728158,0.0008671616,0.0000019814793],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000111395704,0.00007380827,0.0007690002,0.00028018275,0.000011253847,0.0000029738085,0.000003936919,0.0003936604,0.9970963,0.0011401783,0.000020845144,0.00009644531],"study_design_scores_gemma":[0.00031128686,0.000111732006,0.046472985,0.00094713015,0.000058325877,9.496176e-8,6.140012e-7,0.009728521,0.941486,0.00002588998,0.000538849,0.00031858147],"about_ca_topic_score_codex":0.00009583636,"about_ca_topic_score_gemma":0.0000060061075,"teacher_disagreement_score":0.05561033,"about_ca_system_score_codex":0.00009927957,"about_ca_system_score_gemma":0.00026300034,"threshold_uncertainty_score":0.9999657},"labels":[],"label_agreement":null},{"id":"W4413612748","doi":"10.21203/rs.3.rs-7391041/v1","title":"Cortical GABAergic inhibition dynamics around hippocampal sharp-wave ripples","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; University of Lethbridge","keywords":"GABAergic; Hippocampal formation; Neuroscience; Dynamics (music); Physics; Psychology; Acoustics; Inhibitory postsynaptic potential","score_opus":0.11867269096853891,"score_gpt":0.3815513625170631,"score_spread":0.2628786715485242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413612748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9687873,0.00014354847,0.0021202092,0.0034097591,0.0018844396,0.0022042792,0.0019348451,0.00035489607,0.01916069],"genre_scores_gemma":[0.99242413,0.0005364035,0.000101771504,0.0002739182,0.0004503555,0.00025444658,0.00063038524,0.000046671877,0.005281936],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.993747,0.0012362261,0.00054922455,0.0015451466,0.0018648405,0.0010575424],"domain_scores_gemma":[0.9965462,0.0016295462,0.00013893141,0.0009524648,0.00043421428,0.0002986487],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0012162961,0.00041661112,0.0004463073,0.00073852774,0.0007193046,0.000661903,0.00047594105,0.0005880511,0.0002314641],"category_scores_gemma":[0.0028935485,0.00039562408,0.00030104612,0.00096070825,0.0005157272,0.00018153488,0.0023037079,0.0039821337,0.00018777241],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019921502,0.003053438,0.0037231285,0.010088072,0.00018102155,0.0038817578,0.0010015715,0.0070552235,0.18441243,0.713225,0.020934466,0.05045173],"study_design_scores_gemma":[0.0010737434,0.000740829,0.0051200385,0.0024253582,0.00005061043,0.000105293075,0.0006185406,0.81080604,0.016136698,0.15856017,0.003161996,0.0012006827],"about_ca_topic_score_codex":0.00017064516,"about_ca_topic_score_gemma":0.00025187386,"teacher_disagreement_score":0.8037508,"about_ca_system_score_codex":0.0009817529,"about_ca_system_score_gemma":0.0005926311,"threshold_uncertainty_score":0.99984956},"labels":[],"label_agreement":null},{"id":"W4413682603","doi":"10.1016/j.plrev.2025.08.009","title":"Surfing brain waves without sinking","year":2025,"lang":"en","type":"review","venue":"Physics of Life Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Brain waves; Computer science; Neuroscience; Psychology; Cognitive science; Electroencephalography","score_opus":0.14687608891283555,"score_gpt":0.3748231750255439,"score_spread":0.22794708611270836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413682603","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000022867994,0.99442446,0.0006265228,0.00008161007,0.0006451459,0.0013193892,0.000047756268,0.000048936057,0.0028039005],"genre_scores_gemma":[0.000008429774,0.9974649,0.00021148329,0.00071095396,0.00037660482,0.00008111558,0.000031698917,0.000050976178,0.0010638459],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99659723,0.0007765564,0.0012810009,0.0007122286,0.0003155668,0.00031738952],"domain_scores_gemma":[0.99627453,0.0014809144,0.0013875432,0.0007259928,0.00004132736,0.00008967802],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00064484146,0.00052714604,0.003186104,0.00012753566,0.000122038065,0.00006882025,0.0006126723,0.00013831847,0.000012952131],"category_scores_gemma":[0.002852855,0.00039291405,0.0011405544,0.00097578444,0.000087969885,0.00018040954,0.0002445425,0.00046320507,0.00008668379],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001220822,0.00003867314,0.0000015700105,0.052386984,0.000012828469,0.0000011014847,0.000009008332,0.0000012921976,0.00010279134,0.0052540596,0.00095032016,0.94124013],"study_design_scores_gemma":[0.00005892464,0.000022017015,1.8408e-7,0.039427195,0.00023471973,0.0000029830007,5.687488e-7,0.000063232874,0.000028825574,0.0011025905,0.9587415,0.000317268],"about_ca_topic_score_codex":0.000005724969,"about_ca_topic_score_gemma":0.0000012113285,"teacher_disagreement_score":0.95779115,"about_ca_system_score_codex":0.000051382518,"about_ca_system_score_gemma":0.0002822706,"threshold_uncertainty_score":0.9998523},"labels":[],"label_agreement":null},{"id":"W4413700125","doi":"10.1002/advs.202506833","title":"Dynamic Neural Deactivation Bridges Direct and Competitive Inhibition Processes","year":2025,"lang":"en","type":"article","venue":"Advanced Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Manchester Biomedical Research Centre; Shenzhen-Hong Kong Institute of Brain Science; Shenzhen Fundamental Research Program; National Natural Science Foundation of China; Department of Health and Social Care; National Institute for Health and Care Research","keywords":"Sensory system; Neuroscience; Inhibitory postsynaptic potential; Neuroimaging; Neural substrate; Cognition; Feed forward; Stimulus modality; Psychology; Computer science","score_opus":0.009959559889821458,"score_gpt":0.27012357143829513,"score_spread":0.2601640115484737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413700125","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99099874,0.00004002403,0.0021347343,0.00079530483,0.0003391235,0.00021092258,0.000007797584,0.00009854136,0.0053747944],"genre_scores_gemma":[0.99837464,0.00009038655,0.00024653983,0.0008774872,0.0000063606626,0.000018106906,0.0000020917855,0.000004521729,0.00037987973],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99888146,0.000027518005,0.00012314187,0.0005182603,0.00023388214,0.00021573514],"domain_scores_gemma":[0.9993861,0.00027106892,0.0000707989,0.00011930045,0.000109196444,0.000043590775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013377913,0.00010074826,0.000094268784,0.00017528687,0.00046527892,0.00011842592,0.00011857316,0.000019062052,0.0000021891653],"category_scores_gemma":[0.0014246224,0.00009031684,0.000012832742,0.0012956245,0.0005047375,0.001147098,0.00008292235,0.00008815032,0.0000030064964],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020268044,0.000020404013,0.00025553413,0.000023446823,3.0259216e-7,0.0000023686248,0.000036235982,0.0004836388,0.97051036,0.012735897,0.000002728623,0.015908806],"study_design_scores_gemma":[0.00032749493,0.000104164,0.032146696,0.00010216378,0.0000047488215,0.000016726888,0.00012065694,0.03574751,0.92411864,0.0065731998,0.0005499063,0.00018808596],"about_ca_topic_score_codex":0.000006316754,"about_ca_topic_score_gemma":0.000026647262,"teacher_disagreement_score":0.04639172,"about_ca_system_score_codex":0.00007583578,"about_ca_system_score_gemma":0.000087721826,"threshold_uncertainty_score":0.3683014},"labels":[],"label_agreement":null},{"id":"W4413744862","doi":"10.1038/s41467-025-62551-x","title":"Invariant inter-subject relational structures in high order human visual cortex","year":2025,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Bundesministerium für Bildung und Forschung; Australian Government; Canadian Institute for Advanced Research","keywords":"Invariant (physics); Visual cortex; Computer science; Subject (documents); Order (exchange); Neuroscience; Mathematics; Psychology; World Wide Web; Mathematical physics","score_opus":0.02638525655738416,"score_gpt":0.32985282737662586,"score_spread":0.3034675708192417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413744862","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96094006,0.00042053752,0.0007418587,0.015577453,0.0010869843,0.0005946093,0.00006400742,0.00017458016,0.0203999],"genre_scores_gemma":[0.99576926,0.000062833635,0.00083253335,0.0023888664,0.00002225531,0.000026645568,0.00010985923,0.000009406572,0.0007783307],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.998989,0.0002302218,0.00024728506,0.00025605413,0.00013827879,0.00013915976],"domain_scores_gemma":[0.99851876,0.00053411745,0.000079916885,0.0007657275,0.00007591161,0.000025571564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013226233,0.000110749555,0.000116961535,0.00025012754,0.0003757132,0.000055870198,0.0006976491,0.00020173965,0.000053960703],"category_scores_gemma":[0.00068899815,0.00010246721,0.000038021924,0.0009215983,0.00013509113,0.00014222288,0.0003798352,0.0011418846,0.000010098737],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010950445,0.000107791,0.003385479,0.0000041510143,0.000005113388,0.0000017325149,0.000042793912,0.000037937192,0.115089245,0.8795767,0.00088630227,0.00085181446],"study_design_scores_gemma":[0.001660248,0.00012789121,0.77668697,0.0001225994,0.00003885961,0.000020975636,0.00010421789,0.03074098,0.009526918,0.123850904,0.056578454,0.000541008],"about_ca_topic_score_codex":0.00008974934,"about_ca_topic_score_gemma":0.0019261086,"teacher_disagreement_score":0.7733015,"about_ca_system_score_codex":0.00008436317,"about_ca_system_score_gemma":0.000072719435,"threshold_uncertainty_score":0.4960984},"labels":[],"label_agreement":null},{"id":"W4413805917","doi":"10.1101/2025.08.28.672780","title":"Divergent Excitability of GABAergic Neurons Derived from Bipolar Disorder Patients Shapes Energy Shifts of Network Dynamics, possibly mimicking mania and depression","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"University of Haifa","keywords":"GABAergic; Mania; Depression (economics); Bipolar disorder; Neuroscience; Dynamics (music); Psychology; Psychiatry; Cognition","score_opus":0.010471603386587628,"score_gpt":0.2012863085556814,"score_spread":0.19081470516909377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413805917","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99270815,0.0010566042,0.002393831,0.000039641935,0.0017374068,0.00047990112,0.0014721479,0.000107826796,0.000004475573],"genre_scores_gemma":[0.99820995,0.00094041857,0.0005153745,0.00012997982,0.00010051469,0.000040870855,0.000002969778,0.000057314905,0.000002579315],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99654496,0.0003659806,0.00080286665,0.0013638926,0.00046039934,0.0004619033],"domain_scores_gemma":[0.99750715,0.00034113604,0.0008283782,0.00083582266,0.00031679746,0.00017071965],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020036053,0.00053749466,0.00069979555,0.00022889643,0.00022572713,0.00008154308,0.0005906266,0.00037962387,0.000020826537],"category_scores_gemma":[0.000529948,0.00054342806,0.00018689409,0.00052413676,0.00023534436,0.00017364664,0.0015445552,0.00045729228,8.740237e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014299739,0.000404337,0.3718845,0.0003821938,0.00006402669,0.000008498802,0.000015347736,0.0016837531,0.6245815,0.00073379267,0.000016458025,0.00008257513],"study_design_scores_gemma":[0.00052483176,0.00007192131,0.900069,0.0005468812,0.00011598737,3.7335717e-9,0.0000017242827,0.031825136,0.066172086,0.000057188303,0.00013042023,0.00048485128],"about_ca_topic_score_codex":0.00068069994,"about_ca_topic_score_gemma":0.00009186305,"teacher_disagreement_score":0.55840945,"about_ca_system_score_codex":0.00012870354,"about_ca_system_score_gemma":0.00015662395,"threshold_uncertainty_score":0.99970174},"labels":[],"label_agreement":null},{"id":"W4413941980","doi":"10.1101/2025.09.01.673156","title":"Enriched experience increases reciprocal synaptic connectivity and coding sparsity in higher-order cortex","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Advanced Research Projects Agency; National Institutes of Health","keywords":"Reciprocal; Coding (social sciences); Order (exchange); Functional connectivity; Cortex (anatomy); Computer science; Neuroscience; Psychology; Mathematics; Business; Statistics","score_opus":0.031771603924670766,"score_gpt":0.24423002192942128,"score_spread":0.21245841800475052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413941980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964186,0.00017255386,0.00059507054,0.0002353076,0.0014526963,0.00069545006,0.0001133726,0.00028272913,0.000034199482],"genre_scores_gemma":[0.99838424,0.00032842567,0.00032831915,0.0006262082,0.00011683412,0.00015699801,1.7039277e-7,0.000037878126,0.000020950678],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99669003,0.0003445086,0.00045941767,0.001611197,0.00034916,0.0005456745],"domain_scores_gemma":[0.99797446,0.0005962312,0.00030081125,0.0007571764,0.00016478344,0.00020654508],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004302887,0.00051040977,0.0006134245,0.0003371676,0.0002504941,0.0002328815,0.0004518419,0.00042712735,0.00003759528],"category_scores_gemma":[0.0018293561,0.0005530151,0.00007697379,0.0009135381,0.00028956836,0.00026292386,0.0009373081,0.00090616994,0.000008670338],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008635797,0.00020871636,0.021255938,0.00026376796,0.000017490327,0.00011888658,0.000014282469,0.000048117927,0.97361016,0.0043522925,0.000018641063,0.000005328868],"study_design_scores_gemma":[0.0010752295,0.00011794003,0.8166068,0.0006943883,0.00007918837,1.4924663e-7,0.0000083481455,0.014449004,0.16503637,0.00004732456,0.00053973304,0.0013455086],"about_ca_topic_score_codex":0.00030187477,"about_ca_topic_score_gemma":0.000020563755,"teacher_disagreement_score":0.80857384,"about_ca_system_score_codex":0.00030471885,"about_ca_system_score_gemma":0.0003033183,"threshold_uncertainty_score":0.99969214},"labels":[],"label_agreement":null},{"id":"W4414015692","doi":"10.1016/j.cub.2025.08.027","title":"Inactivation of primate cortex reveals inductive biases in visual learning","year":2025,"lang":"en","type":"article","venue":"Current Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; International Development Research Centre","keywords":"Biology; Primate; Visual cortex; Neuroscience; Cortex (anatomy); Cognitive psychology; Psychology","score_opus":0.0613033008742753,"score_gpt":0.38122535489098514,"score_spread":0.3199220540167098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414015692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982591,0.00004180888,0.0002827492,0.00008169515,0.0007492181,0.00012992272,0.0000040468462,0.000019503716,0.00043192966],"genre_scores_gemma":[0.9997353,0.000087828375,0.0000058087344,0.00006199348,0.000018724128,0.000009972402,0.00001342544,0.0000027872347,0.000064185566],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99924326,0.00017827407,0.00018774605,0.00022205737,0.000036272606,0.00013239442],"domain_scores_gemma":[0.9994769,0.0003109011,0.00011753084,0.00005563065,0.000026997795,0.0000120132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010977139,0.00006520525,0.00013262163,0.00019753452,0.00003748423,0.0000049475475,0.00006491198,0.000048062357,0.0000098232595],"category_scores_gemma":[0.0010084156,0.000056495377,0.000022946453,0.0003819185,0.00007806804,0.00006289073,0.000055829005,0.00017470981,0.0000036562733],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036310932,0.00007736131,0.028298294,0.000018926046,0.0000012004019,3.5129474e-7,0.000030082147,0.000033828117,0.9265057,0.007988635,0.000019259347,0.036990073],"study_design_scores_gemma":[0.0009507968,0.00061861554,0.35531497,0.0003153234,0.000011654639,0.0000031086354,0.0001210143,0.011738887,0.6157206,0.010796794,0.004156911,0.0002512773],"about_ca_topic_score_codex":0.000013993221,"about_ca_topic_score_gemma":0.0000035321145,"teacher_disagreement_score":0.32701668,"about_ca_system_score_codex":0.000043179156,"about_ca_system_score_gemma":0.000026468946,"threshold_uncertainty_score":0.23038146},"labels":[],"label_agreement":null},{"id":"W4414055894","doi":"10.1016/j.bpsgos.2025.100606","title":"Cortical GABAergic Neuron Dysregulation in Schizophrenia Is Age Dependent","year":2025,"lang":"en","type":"article","venue":"Biological Psychiatry Global Open Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Public Health Ontario; University of Toronto; Centre for Addiction and Mental Health","funders":"National Institute of Mental Health; Canadian Institutes of Health Research; Krembil Foundation; Takeda Pharmaceutical Company; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada; Roche; National Institutes of Health; Centre for Addiction and Mental Health; Simons Foundation","keywords":"GABAergic; Schizophrenia (object-oriented programming); Neuron; Pathological; Psychosis; Premovement neuronal activity","score_opus":0.043480112399820206,"score_gpt":0.33689403302231224,"score_spread":0.29341392062249205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414055894","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97080314,0.000030544456,0.00030530823,0.0038211972,0.0023468556,0.0005737694,0.00002272351,0.000058191727,0.022038287],"genre_scores_gemma":[0.9913983,0.000019384017,0.00066144974,0.007631723,0.000038484155,0.000017919327,0.0000023617524,0.0000031047655,0.00022730368],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9972435,0.0001940498,0.00040588022,0.0012178026,0.00041745658,0.0005212858],"domain_scores_gemma":[0.99919575,0.00010081943,0.00009742735,0.0004212906,0.000037496666,0.00014723593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006458473,0.00019725839,0.00022933207,0.00010987879,0.00042438193,0.00047179157,0.002024758,0.00011676268,0.000079690304],"category_scores_gemma":[0.0007445848,0.00014511659,0.000063082094,0.0024792368,0.000702487,0.0004605124,0.0011060733,0.00025260085,0.00008318669],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00082119904,0.0006179983,0.124351695,0.0000110206065,0.0000023713087,0.00005261747,0.000012389646,0.00020735076,0.25594088,0.60439813,0.0010916357,0.012492685],"study_design_scores_gemma":[0.0009892898,0.00028912694,0.920447,0.000036326528,0.0000043091122,0.000020584606,0.00002190539,0.005332531,0.0016380436,0.07029309,0.000668793,0.0002590266],"about_ca_topic_score_codex":0.00007240502,"about_ca_topic_score_gemma":0.000103435676,"teacher_disagreement_score":0.79609525,"about_ca_system_score_codex":0.00017419292,"about_ca_system_score_gemma":0.00026407777,"threshold_uncertainty_score":0.59176826},"labels":[],"label_agreement":null},{"id":"W4414084234","doi":"10.1111/ejn.70253","title":"Distinct Neural Mechanisms of Visual and Sound Adaptation in the Cat Visual Cortex","year":2025,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Visual cortex; Stimulus (psychology); Sensory system; Adaptation (eye); Auditory cortex; Neural adaptation; Inhibitory postsynaptic potential; Visual N1; Sensory Adaptation","score_opus":0.03431656875375243,"score_gpt":0.2877290809516284,"score_spread":0.25341251219787597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414084234","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98268914,0.0000127016965,0.015141612,0.0005676446,0.00088988035,0.00011313147,0.0000025048437,0.000007421242,0.0005759827],"genre_scores_gemma":[0.9982367,0.000025000612,0.000056407396,0.0015700539,0.000032716074,5.012705e-7,1.8714444e-7,0.000008719605,0.00006968776],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9978422,0.0007810477,0.00048803678,0.000262775,0.00043464228,0.00019127755],"domain_scores_gemma":[0.9990512,0.00034467576,0.00037736923,0.00011649259,0.000058215293,0.000052011506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083843793,0.00012380346,0.0001612024,0.00022820068,0.0001663966,0.00012529505,0.00046047414,0.000012366242,0.0000019510337],"category_scores_gemma":[0.0010314907,0.00008358444,0.00005968657,0.00072647573,0.00027643528,0.00032981453,0.00010402271,0.00023072689,0.000001180388],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007347242,0.00011219622,0.00033238856,0.000011244165,5.217313e-7,0.00020390017,0.00023292174,0.0002589053,0.9898466,0.0022952924,0.000016234906,0.006616356],"study_design_scores_gemma":[0.0011833623,0.0028178534,0.7562349,0.00009120327,0.00002965233,0.0008956828,0.0005568702,0.21935925,0.014381965,0.0039156694,0.00029946034,0.0002341767],"about_ca_topic_score_codex":0.000003186842,"about_ca_topic_score_gemma":0.0000049348946,"teacher_disagreement_score":0.9754646,"about_ca_system_score_codex":0.000015918255,"about_ca_system_score_gemma":0.000039491482,"threshold_uncertainty_score":0.34084746},"labels":[],"label_agreement":null},{"id":"W4414096315","doi":"10.1101/2025.09.09.675132","title":"The anterior cingulate cortex drives lateralized age-dependent modulation of claustrum circuits","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta","funders":"Canadian Institutes of Health Research; Health Canada; Azrieli Foundation; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada; Canadian Bee Research Fund; Government of Canada","keywords":"Claustrum; Parvalbumin; Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Anterior cingulate cortex; Cortex (anatomy); Optogenetics; Neuron","score_opus":0.01764105467542494,"score_gpt":0.2366012630816493,"score_spread":0.21896020840622438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414096315","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936651,0.000119681965,0.000746402,0.00026989207,0.0037673304,0.0008995521,0.00024325718,0.00025710996,0.00003166949],"genre_scores_gemma":[0.9988,0.00045575647,0.0001019868,0.00020934564,0.000160328,0.00007801095,3.0347715e-7,0.000057440644,0.00013685567],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968326,0.0003054927,0.00079308,0.0010461143,0.0005275132,0.0004951999],"domain_scores_gemma":[0.9974235,0.00021665901,0.00077252096,0.0012163803,0.00025066998,0.00012024804],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00045980883,0.00047254466,0.0005497579,0.0002477164,0.00038452062,0.00034936867,0.0007626966,0.0003660701,0.000016028484],"category_scores_gemma":[0.00044438336,0.00040119194,0.00022026771,0.00047312982,0.00022155029,0.00015623705,0.0006149238,0.00064961385,0.000012744783],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043508826,0.000054313423,0.0010827188,0.00018979596,0.000038078368,0.00003674724,0.000009262314,0.000380872,0.99674875,0.0013624552,0.000028505154,0.00002497136],"study_design_scores_gemma":[0.00079758983,0.00008243543,0.26665953,0.00073752244,0.000102743135,5.564474e-8,0.0000019008038,0.017115062,0.71279174,0.00007608624,0.00094644056,0.0006889271],"about_ca_topic_score_codex":0.000049826667,"about_ca_topic_score_gemma":0.0000070228907,"teacher_disagreement_score":0.28395706,"about_ca_system_score_codex":0.00015922802,"about_ca_system_score_gemma":0.00022972343,"threshold_uncertainty_score":0.999844},"labels":[],"label_agreement":null},{"id":"W4414105043","doi":"10.1016/j.neuroimage.2025.121460","title":"Spatial task instructions and global activation trends influence functional modularity in the cortical reach network","year":2025,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Canadian Institutes of Health Research; Canada First Research Excellence Fund; Canada Research Chairs","keywords":"Task (project management); Modularity (biology); Brain mapping; Attention network; Functional magnetic resonance imaging; Functional connectivity; Inferior parietal lobule; Sensory cue","score_opus":0.020189449157338134,"score_gpt":0.2644942297790936,"score_spread":0.24430478062175545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414105043","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98958015,0.0000034074842,0.0027737091,0.0032745567,0.00056001754,0.00013060139,0.000015181271,0.000047053334,0.0036153386],"genre_scores_gemma":[0.9964636,0.000008021845,0.0000397368,0.0032361022,0.00009261748,0.0000173655,0.000008175114,0.0000043040404,0.00013010688],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987317,0.00024735168,0.00019023017,0.00039726257,0.00022524115,0.00020824012],"domain_scores_gemma":[0.9994414,0.00024321707,0.000047797606,0.0002126449,0.000023543487,0.000031429485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000154718,0.00011496782,0.000097710705,0.00006869701,0.0003160824,0.000116046605,0.0001339662,0.000058262838,0.000010687976],"category_scores_gemma":[0.00047208054,0.00009213362,0.000034782708,0.00092209125,0.00015777987,0.00026502187,0.00007883689,0.00036489402,0.0000031085756],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005683734,0.00045652187,0.13563243,0.000037441674,0.000009996836,0.00007729997,0.00010484511,0.009440448,0.49831674,0.21400258,0.004253248,0.13710007],"study_design_scores_gemma":[0.00032603054,0.000052106487,0.96579987,0.000008538217,0.000008144281,0.000039842067,0.000006758711,0.026032178,0.00038559333,0.005555927,0.0017077535,0.00007728665],"about_ca_topic_score_codex":0.00013567292,"about_ca_topic_score_gemma":0.00011003617,"teacher_disagreement_score":0.8301674,"about_ca_system_score_codex":0.00004482789,"about_ca_system_score_gemma":0.000030545376,"threshold_uncertainty_score":0.37570998},"labels":[],"label_agreement":null},{"id":"W4414128864","doi":"10.1007/s11357-025-01862-9","title":"Effects of age and musical training on resting-state periodic oscillatory brain activity","year":2025,"lang":"en","type":"article","venue":"GeroScience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian University Music Society; Baycrest Hospital; University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Aperiodic graph; Cognition; Musical; Rhythm; Brain activity and meditation; Neuroplasticity; Electroencephalography; Training (meteorology); Brain function","score_opus":0.029677621905657914,"score_gpt":0.2702706433362814,"score_spread":0.2405930214306235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414128864","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99664575,0.000005787651,0.0007253564,0.0006904969,0.00056023826,0.00019528091,0.000003933032,0.00005195309,0.001121186],"genre_scores_gemma":[0.9972203,0.000008773229,0.000049582748,0.0017381656,0.000013539569,0.0000079155,9.04295e-8,0.0000056767217,0.0009560054],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99868506,0.00012396392,0.00012740513,0.000529711,0.00026562702,0.00026822166],"domain_scores_gemma":[0.9985636,0.0010984361,0.000077430384,0.00017692731,0.000012715912,0.00007090692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002915673,0.00011974274,0.00016883832,0.00013696495,0.00027350895,0.000071275965,0.00018123363,0.000051353185,0.000001768757],"category_scores_gemma":[0.0023850873,0.000103865474,0.00003736372,0.0005491093,0.00057823973,0.00014278364,0.00011098169,0.00022198987,0.000002431447],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030165513,0.0000403509,0.000086503904,0.000044926324,4.5074611e-7,0.000030696312,0.00034487015,0.000038595696,0.9782169,0.0019349679,0.000052582083,0.01917899],"study_design_scores_gemma":[0.00090127805,0.0008393105,0.26295388,0.00029696006,0.000010299985,0.000018803315,0.000047096022,0.020577585,0.7095541,0.002769444,0.0016632075,0.00036808362],"about_ca_topic_score_codex":0.000013003331,"about_ca_topic_score_gemma":0.0000060859793,"teacher_disagreement_score":0.26866284,"about_ca_system_score_codex":0.000030437266,"about_ca_system_score_gemma":0.00007209631,"threshold_uncertainty_score":0.42355108},"labels":[],"label_agreement":null},{"id":"W4414129234","doi":"10.1007/978-3-032-04558-4_32","title":"Correcting the Modified Stochastic Synaptic Model of Synaptic Dynamics Refinement of Vesicle and Neurotransmitters Functions","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Synaptic plasticity; Computational model; Neural facilitation; Synaptic vesicle; Dynamics (music); Field (mathematics); Stochastic modelling; Facilitation; Spiking neural network","score_opus":0.024884449932452403,"score_gpt":0.2335333480183599,"score_spread":0.2086488980859075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414129234","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038883228,0.00004634355,0.95871925,0.0005708645,0.0009096501,0.00041834515,0.000030378354,0.000027462986,0.00039447146],"genre_scores_gemma":[0.9977053,0.000011235061,0.0014053894,0.00059912767,0.0000274595,0.000007363796,0.0000018610396,0.000016721,0.0002255527],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980318,0.000037588594,0.00045760046,0.00073292607,0.0004609076,0.00027918108],"domain_scores_gemma":[0.9978699,0.0011936938,0.00029070288,0.00050173805,0.00009548224,0.000048492904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003222565,0.00027303374,0.00034893188,0.00037558482,0.00022501759,0.00005824862,0.00057958695,0.00011048297,0.000002784435],"category_scores_gemma":[0.0002878234,0.00020966398,0.000085761276,0.0004146963,0.00092302455,0.000100389596,0.00029893243,0.00050351856,5.728259e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027709846,0.000022460992,0.0000037529653,0.00008817273,0.000009615973,0.0000030134827,0.00014342327,0.87112147,0.016928136,0.008758829,0.0000013896216,0.10289205],"study_design_scores_gemma":[0.0001516994,0.00016519864,0.000019290952,0.00025470258,0.000036834314,0.00003253173,8.1701694e-7,0.98320735,0.0014546518,0.01451255,6.576292e-7,0.00016374957],"about_ca_topic_score_codex":0.000025951238,"about_ca_topic_score_gemma":0.000050778406,"teacher_disagreement_score":0.9588221,"about_ca_system_score_codex":0.00010543689,"about_ca_system_score_gemma":0.00016716283,"threshold_uncertainty_score":0.8549849},"labels":[],"label_agreement":null},{"id":"W4414151269","doi":"10.1016/j.cobeha.2025.101597","title":"Advancements in neural closed-loop manipulations in awake, behaving animals","year":2025,"lang":"en","type":"article","venue":"Current Opinion in Behavioral Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Canada Research Chairs","keywords":"Neural activity; Artificial neural network; Biological neural network; Neural ensemble; Models of neural computation; Neural system; Neural engineering","score_opus":0.20999744445114396,"score_gpt":0.4462756998385415,"score_spread":0.23627825538739752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414151269","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99323267,0.0002924006,0.00002875919,0.00039756502,0.00530273,0.0004514257,0.000010328835,0.00003199505,0.00025212616],"genre_scores_gemma":[0.9995859,0.00014875182,0.00004641,0.000042733678,0.000031350097,0.00007849948,0.000007285079,0.00000529771,0.000053772805],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978913,0.00014047048,0.0005076364,0.0006556986,0.00035878966,0.00044607607],"domain_scores_gemma":[0.99959326,0.00009130897,0.00010192342,0.00014943983,0.000017624132,0.000046455567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003677582,0.0001666229,0.00018194679,0.0007284044,0.00017836766,0.00012011725,0.00040123638,0.00005172577,0.00003633766],"category_scores_gemma":[0.00009942189,0.00015888941,0.00004429414,0.0024351277,0.00019610261,0.00060050556,0.00015525336,0.0002870385,0.000007140131],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008974246,0.0004079642,0.9353799,0.000021648922,9.600166e-8,0.0000030389647,0.00007471324,0.0014614362,0.014092604,0.00413979,0.000041643216,0.044368185],"study_design_scores_gemma":[0.0007058716,0.00011319321,0.96836597,0.00038280408,0.0000024422172,0.0000021499034,0.00013230476,0.026987337,0.0008401415,0.0014027436,0.0008142295,0.0002507895],"about_ca_topic_score_codex":0.00022137433,"about_ca_topic_score_gemma":0.00029045026,"teacher_disagreement_score":0.044117395,"about_ca_system_score_codex":0.00016646857,"about_ca_system_score_gemma":0.00006557511,"threshold_uncertainty_score":0.64793223},"labels":[],"label_agreement":null},{"id":"W4414151571","doi":"10.1101/2025.09.07.674721","title":"A unified model of cortico-hippocampal interactions through neural field theory","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Health and Medical Research Council","keywords":"Hippocampal formation; Hippocampus; Neurophysiology; Coupling (piping); Cortex (anatomy); Neural activity; Local field potential","score_opus":0.034233814394831745,"score_gpt":0.2615223977123176,"score_spread":0.22728858331748586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414151571","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9614986,0.00007636731,0.03229439,0.0006128916,0.0035988358,0.0007579819,0.0004996763,0.00036416607,0.00029710148],"genre_scores_gemma":[0.99656165,0.000113578026,0.0012696551,0.0016654774,0.00014298754,0.00009853616,2.4395402e-7,0.000049341295,0.00009853718],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9973327,0.00026058362,0.00064305303,0.0009879586,0.00035117412,0.00042453394],"domain_scores_gemma":[0.99738014,0.0005905153,0.0005008264,0.0011633828,0.0002497021,0.00011542612],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025400554,0.00045680182,0.0005203737,0.00024002854,0.00018730761,0.00012707656,0.0006625883,0.0003260511,0.000056545836],"category_scores_gemma":[0.0011241398,0.00046115788,0.0002562537,0.0005210111,0.00015294497,0.00024885812,0.00063128106,0.0010646309,0.000012560506],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014278149,0.00016831631,0.00017713041,0.00024051522,0.00003591357,0.000014480638,0.000018630284,0.0057301903,0.9607732,0.032489568,0.0002007039,0.000008521352],"study_design_scores_gemma":[0.0003655233,0.00009340161,0.0008756017,0.0003101776,0.00013075687,3.3916553e-8,0.0000041116987,0.19096841,0.80572677,0.0006103629,0.00035437272,0.00056050596],"about_ca_topic_score_codex":0.00004003675,"about_ca_topic_score_gemma":0.0000034540917,"teacher_disagreement_score":0.18523821,"about_ca_system_score_codex":0.000117583935,"about_ca_system_score_gemma":0.0004071876,"threshold_uncertainty_score":0.999784},"labels":[],"label_agreement":null},{"id":"W4414162108","doi":"10.1371/journal.pcbi.1013416","title":"Variation in the geometry of concept manifolds across human visual cortex","year":2025,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"NeuroRx Research (Canada)","funders":"National Eye Institute; Common Fund; National Science Foundation","keywords":"Visual cortex; Pattern recognition (psychology); Variation (astronomy); Curse of dimensionality; Manifold (fluid mechanics); Cortex (anatomy); SIGNAL (programming language); Human brain; Visual perception","score_opus":0.029105713817929188,"score_gpt":0.3273444189661576,"score_spread":0.2982387051482284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414162108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941669,0.000008951556,0.0043766103,0.0005309003,0.00019398874,0.00015792999,0.00003444909,0.000016088805,0.00051419483],"genre_scores_gemma":[0.9982844,0.0000011491809,0.00005592909,0.0015086114,0.000028638467,0.000010046548,0.000051798048,0.0000028234635,0.000056601937],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99915516,0.00017905711,0.00022605986,0.00021350174,0.00010237863,0.00012383204],"domain_scores_gemma":[0.99902076,0.0007640255,0.000092054965,0.00006983829,0.000044471613,0.000008824966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001430428,0.000066377215,0.00010961081,0.00009520877,0.00010881209,0.000015846204,0.00016341904,0.00005818083,0.00002244122],"category_scores_gemma":[0.00016688155,0.000050137787,0.000031076597,0.00040968147,0.00011977892,0.000043243534,0.000049693623,0.00010053086,0.000005200655],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033163644,0.00032686355,0.0063007916,0.000017747305,0.000011858494,0.0000037877273,0.00039536634,0.004765733,0.5585256,0.42808664,0.00007019428,0.0014622252],"study_design_scores_gemma":[0.00082655385,0.0003442051,0.77495736,0.000018683708,0.000009829991,0.000008192638,0.00009317031,0.107525505,0.008199675,0.10771125,0.0001763657,0.00012921402],"about_ca_topic_score_codex":0.000023451912,"about_ca_topic_score_gemma":0.000008521855,"teacher_disagreement_score":0.76865655,"about_ca_system_score_codex":0.000021140448,"about_ca_system_score_gemma":0.000023051232,"threshold_uncertainty_score":0.20445596},"labels":[],"label_agreement":null},{"id":"W4414236894","doi":"10.1101/2025.09.10.675474","title":"The head-direction signal is generated by multiple attractor-like networks","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Optogenetics; Thalamus; Population; Coherence (philosophical gambling strategy); Brainstem; Nucleus; Diencephalon; SIGNAL (programming language)","score_opus":0.02075482211867992,"score_gpt":0.22981041962517043,"score_spread":0.2090555975064905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414236894","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9694163,0.0016489194,0.009779204,0.0014294272,0.013663295,0.0017667407,0.0010099285,0.0012376828,0.00004847189],"genre_scores_gemma":[0.995499,0.0010761766,0.000121426434,0.002114419,0.00058630615,0.00021666683,0.0000011395185,0.000088106906,0.00029674574],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9963566,0.0003781519,0.000592205,0.0014521691,0.0004901074,0.00073074014],"domain_scores_gemma":[0.9974146,0.0005132651,0.0004562662,0.0010983408,0.00030458774,0.00021293949],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00050170464,0.0006193792,0.00042774575,0.00014808234,0.0009661113,0.00068062084,0.000748851,0.00061894685,0.000037959475],"category_scores_gemma":[0.00032294024,0.00053340354,0.0002210147,0.0008486669,0.00017572253,0.00017754885,0.00046281648,0.0013663267,0.00003659469],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000071319126,0.00011019042,0.0011864486,0.000052711777,0.000043417414,0.000012946604,0.0000025715196,0.0016315476,0.9833716,0.00014172772,0.013347615,0.000027869695],"study_design_scores_gemma":[0.00052713725,0.00007338327,0.006903938,0.00018420184,0.00007448178,3.17999e-8,8.6999296e-7,0.21243517,0.6785696,0.0000030692356,0.10034742,0.00088069105],"about_ca_topic_score_codex":0.00010998049,"about_ca_topic_score_gemma":0.0000152881,"teacher_disagreement_score":0.30480203,"about_ca_system_score_codex":0.00031722567,"about_ca_system_score_gemma":0.00030466047,"threshold_uncertainty_score":0.99971175},"labels":[],"label_agreement":null},{"id":"W4414334576","doi":"10.1242/jeb.250488","title":"Responses of a locust visual interneuron correlate with simple and compound object motion within the vertical plane","year":2025,"lang":"en","type":"article","venue":"Journal of Experimental Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Saskatchewan; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; University of Saskatchewan","keywords":"Looming; Horizontal plane; Efference copy; Object (grammar); Visual system; Orientation (vector space); Sensory cue; Movement (music); Motion perception","score_opus":0.019622624967091228,"score_gpt":0.3096274152874207,"score_spread":0.2900047903203295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414334576","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987141,0.00011249002,0.00022782107,0.0003548529,0.00038086838,0.00007718476,0.0000036256945,0.0000042192446,0.00012485648],"genre_scores_gemma":[0.9994322,0.000012744336,0.00001814315,0.00047230683,0.0000212934,0.0000010427482,9.0085916e-7,0.000003847433,0.00003749987],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992443,0.00021544896,0.0002575241,0.0001181256,0.00007665969,0.00008794871],"domain_scores_gemma":[0.99938136,0.00036793426,0.00014039075,0.000059514077,0.00002362637,0.00002715918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014585195,0.000077849756,0.0001536616,0.00008140608,0.00006397387,0.00001755809,0.00009640258,0.000039581915,0.000008188382],"category_scores_gemma":[0.00013878277,0.000042438984,0.000031690328,0.00009306085,0.0002944518,0.00006218411,0.00005824167,0.0001680761,7.063321e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023870473,0.00010330618,0.0020981145,0.0000033012147,0.000011588126,0.000022727158,0.00013607196,0.0000165803,0.9933285,0.0016489843,0.000050083294,0.00019368574],"study_design_scores_gemma":[0.000870812,0.0033505573,0.003900348,0.00003270828,0.000015830312,0.0006062327,0.00038565457,0.0023330285,0.9880379,0.00027193755,0.00014008017,0.000054950437],"about_ca_topic_score_codex":0.000012023875,"about_ca_topic_score_gemma":0.000003945934,"teacher_disagreement_score":0.00529065,"about_ca_system_score_codex":0.000024216193,"about_ca_system_score_gemma":0.000026253841,"threshold_uncertainty_score":0.17306115},"labels":[],"label_agreement":null},{"id":"W4414351981","doi":"10.1101/2025.09.16.676591","title":"Causal role for pulvinar burst firing in thalamo-cortical attention control","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Eye Institute; National Institute of Mental Health; Natural Sciences and Engineering Research Council of Canada; Princeton University","keywords":"Microstimulation; Thalamus; Population; Primate; Cognition; Bursting; Covert; Neocortex","score_opus":0.016425410812675855,"score_gpt":0.23656121332061011,"score_spread":0.22013580250793427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414351981","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98743445,0.00017045386,0.0059358114,0.00065407576,0.0032594777,0.0017965195,0.0004009824,0.00031897958,0.00002927872],"genre_scores_gemma":[0.998113,0.000057877798,0.00037733105,0.0004666964,0.00031252153,0.00056568295,5.217717e-7,0.000066219014,0.00004016288],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9967737,0.00022636987,0.0006225265,0.0013440696,0.00034783248,0.000685473],"domain_scores_gemma":[0.99819744,0.00040704673,0.00029354251,0.00075919344,0.00018224513,0.00016052909],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005936989,0.0004781847,0.0005551602,0.0003687828,0.00022884995,0.0002527896,0.0005122508,0.00047041438,0.000011143389],"category_scores_gemma":[0.0012102259,0.00051872886,0.00022682689,0.00046780985,0.00009917051,0.00019618635,0.00032334868,0.00091672136,0.000019356261],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012911945,0.00015256811,0.008546055,0.00030405566,0.000021728352,0.0000421397,0.0000026978357,0.0004500264,0.98505944,0.005205357,0.000079191945,0.0000076067386],"study_design_scores_gemma":[0.005418835,0.00041212863,0.46468598,0.0017505533,0.00035317216,1.1842879e-7,0.000006199561,0.1362176,0.38426214,0.000382269,0.004022565,0.0024884741],"about_ca_topic_score_codex":0.000035480625,"about_ca_topic_score_gemma":0.000010602452,"teacher_disagreement_score":0.6007973,"about_ca_system_score_codex":0.000345727,"about_ca_system_score_gemma":0.00028176318,"threshold_uncertainty_score":0.9997264},"labels":[],"label_agreement":null},{"id":"W4414363666","doi":"10.1101/2025.09.16.676611","title":"Resting-State fMRI and the Risk of Overinterpretation: Noise, Mechanisms, and a Missing Rosetta Stone","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Fonds de Recherche du Québec - Santé; National Institutes of Health; National Institute of Mental Health; U.S. Department of Health and Human Services","keywords":"Interpretability; Counterfactual thinking; Causal inference; Interpretation (philosophy); Correlation; Inference; Artificial neural network; Modality (human–computer interaction); Causal model; Modalities","score_opus":0.011707257779766974,"score_gpt":0.222549675369223,"score_spread":0.21084241758945602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414363666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9802254,0.0006695971,0.01567062,0.0008159202,0.0010384233,0.0008939837,0.00048723686,0.00016485639,0.000033958055],"genre_scores_gemma":[0.9962051,0.0009462832,0.0022602591,0.0004273555,0.00004999113,0.000051233237,9.834977e-8,0.00003623423,0.000023433233],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976905,0.00039954096,0.00046873814,0.0008700376,0.0002987283,0.00027245723],"domain_scores_gemma":[0.99781674,0.0006060264,0.0006214589,0.0006877536,0.00016061144,0.00010743099],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007899989,0.00035470474,0.000462112,0.00017162802,0.0002945222,0.00025896443,0.0003103762,0.00017127945,0.00000451698],"category_scores_gemma":[0.0015214195,0.0002879487,0.0000902425,0.00034477242,0.00037133088,0.00012661368,0.00066346454,0.00062084134,0.0000013720443],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029167417,0.000041381467,0.0007474113,0.0004958451,0.000051837378,0.00001708922,0.00004416615,0.00036768784,0.9862014,0.011665499,0.00003458641,0.00004140256],"study_design_scores_gemma":[0.002878437,0.00019114473,0.06396597,0.0017196952,0.00046616842,2.713252e-7,0.000008069073,0.14751159,0.779597,0.001990299,0.0005603219,0.0011110257],"about_ca_topic_score_codex":0.00010296722,"about_ca_topic_score_gemma":0.000004559651,"teacher_disagreement_score":0.2066044,"about_ca_system_score_codex":0.00005202203,"about_ca_system_score_gemma":0.00016544433,"threshold_uncertainty_score":0.99995726},"labels":[],"label_agreement":null},{"id":"W4414365934","doi":"10.3389/fpsyg.2025.1648930","title":"Scaling up from sentience: modularity, conscious broadcast, and a constitutive solution to the combination problem","year":2025,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Consciousness; Selection (genetic algorithm); Modular design; Action (physics); SIGNAL (programming language); Natural (archaeology); Scaling; Cognition; Natural selection; Scale (ratio)","score_opus":0.018883056174063703,"score_gpt":0.29693655448949774,"score_spread":0.278053498315434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414365934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5241099,0.00028289764,0.44425863,0.0145829255,0.010518976,0.0008971257,0.000035472658,0.000059280166,0.0052548195],"genre_scores_gemma":[0.991811,0.00010553083,0.0022596307,0.005474915,0.000026325617,0.00004121907,0.0000059587856,0.000005035237,0.0002703813],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987944,0.00019576137,0.0001970421,0.00048808104,0.00010704705,0.0002177144],"domain_scores_gemma":[0.9995765,0.00010939611,0.000057868743,0.00019157543,0.000029351693,0.00003530765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022235709,0.000103756545,0.00014572535,0.00020439974,0.00021320759,0.00005286845,0.0001858314,0.000095154704,0.000004181845],"category_scores_gemma":[0.0002135903,0.000087466105,0.000024036171,0.00048792327,0.00034316158,0.00010066951,0.000095740164,0.00021916891,0.000006458833],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005898308,0.0003655816,0.05561938,0.000028298573,0.00003414402,0.000037443762,0.0017774903,0.00034514783,0.09884258,0.052228924,0.09204211,0.69808906],"study_design_scores_gemma":[0.0054014567,0.00031899288,0.07483407,0.00019399797,0.000057904163,0.00006521222,0.0007564378,0.1572523,0.006939011,0.6944508,0.059111357,0.00061848457],"about_ca_topic_score_codex":0.00009025972,"about_ca_topic_score_gemma":0.00003237154,"teacher_disagreement_score":0.6974706,"about_ca_system_score_codex":0.00005052686,"about_ca_system_score_gemma":0.000027290842,"threshold_uncertainty_score":0.35667643},"labels":[],"label_agreement":null},{"id":"W4414384776","doi":"10.1073/pnas.2423297122","title":"Toward a unified taxonomy of information dynamics via Integrated Information Decomposition","year":2025,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Gates Cambridge Trust; European Commission; Wellcome Trust","keywords":"Dynamical systems theory; Key (lock); Complex system; Information system; Information theory; Taxonomy (biology); Dynamics (music)","score_opus":0.03565321204785069,"score_gpt":0.28070950085473706,"score_spread":0.24505628880688637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414384776","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9685308,0.000005183035,0.0018776724,0.0038746889,0.0001192551,0.0006004801,0.000070700575,0.000030065705,0.024891192],"genre_scores_gemma":[0.99836105,0.00000993183,0.0009424117,0.00063016184,0.0000070130545,0.000014863939,0.0000019447257,0.0000010398672,0.000031578293],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99864477,0.000009343211,0.00050657336,0.00010308537,0.0006385274,0.00009768017],"domain_scores_gemma":[0.9987524,0.00012151382,0.0007047924,0.000008528319,0.00039656067,0.000016200534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005458044,0.000080500075,0.00012169834,0.0004320315,0.00014192589,0.000043290715,0.00050541037,0.00007324514,0.0000046343316],"category_scores_gemma":[0.00076812465,0.000056913435,0.000060718052,0.0015550706,0.00040394758,0.002479163,0.000101375124,0.0001351752,0.0000014278054],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069971014,0.00003797812,0.0009424666,0.0001888583,0.0000065026,1.1631173e-9,0.0001327213,0.0009058176,0.4874824,0.50076,0.00031564478,0.009157624],"study_design_scores_gemma":[0.0002711666,0.000067915,0.011416544,0.00013215037,0.000011500043,0.000004782689,0.0002393957,0.19459787,0.7331452,0.059393637,0.0006368302,0.00008301764],"about_ca_topic_score_codex":0.000014494165,"about_ca_topic_score_gemma":1.1783093e-7,"teacher_disagreement_score":0.44136637,"about_ca_system_score_codex":0.00008160598,"about_ca_system_score_gemma":0.000043721797,"threshold_uncertainty_score":0.23208624},"labels":[],"label_agreement":null},{"id":"W4414533716","doi":"10.1038/s41467-025-63255-y","title":"Cortical evidence accumulation for visual perception occurs irrespective of reports","year":2025,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"HORIZON EUROPE Framework Programme; Grantová Agentura České Republiky; Ministerstvo Školství, Mládeže a Tělovýchovy; European Commission","keywords":"Perception; Stimulus (psychology); Sensory system; Visual cortex; Visual perception; Correlation; Multivariate statistics; Visual system","score_opus":0.09888948719242015,"score_gpt":0.44023312343345733,"score_spread":0.3413436362410372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414533716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9744476,0.00055802084,0.012140653,0.008002821,0.001097079,0.0013325372,0.000029986219,0.00013909377,0.002252201],"genre_scores_gemma":[0.99758196,0.0001445857,0.0013652908,0.0006096419,0.000020868329,0.000065091015,0.000023195447,0.0000062329964,0.00018313939],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990578,0.00016405834,0.00028528154,0.00024301436,0.000146744,0.000103066806],"domain_scores_gemma":[0.99674743,0.0020645568,0.00016186871,0.0007791436,0.00022298444,0.00002401961],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002736139,0.00007809495,0.000114106355,0.0001255342,0.00030927995,0.000027903157,0.0003184163,0.00015214004,0.000007793232],"category_scores_gemma":[0.0055127214,0.00007425371,0.00008134179,0.00046300652,0.00014668384,0.00021397181,0.00015132304,0.00042625086,0.0000019204597],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001333817,0.00024990068,0.0066778087,0.000031730837,0.000009672377,7.565902e-7,0.00014823266,0.000110154004,0.90414757,0.08060854,0.0017426107,0.006139663],"study_design_scores_gemma":[0.0007014704,0.0004287177,0.6540555,0.0004472556,0.00018860595,0.000035074827,0.00035441457,0.22716649,0.07415265,0.027138146,0.01487683,0.00045487302],"about_ca_topic_score_codex":0.00000948106,"about_ca_topic_score_gemma":0.000050789153,"teacher_disagreement_score":0.8299949,"about_ca_system_score_codex":0.000081675214,"about_ca_system_score_gemma":0.000076636024,"threshold_uncertainty_score":0.6599641},"labels":[],"label_agreement":null},{"id":"W4414557171","doi":"10.1002/hbm.70354","title":"Exploring Deep Magnetoencephalography via Thalamo‐Cortical Sleep Spindles","year":2025,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital; Concordia University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Magnetoencephalography; Thalamus; Sleep spindle; Functional connectivity; Wakefulness; Electroencephalography; Sleep Stages; Non-rapid eye movement sleep; Tractography; Deep brain stimulation","score_opus":0.08687791734575419,"score_gpt":0.27191065788203067,"score_spread":0.1850327405362765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414557171","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9371033,0.000051437026,0.04604533,0.001647345,0.0009510776,0.00032165518,0.0000020330742,0.00033386366,0.013543971],"genre_scores_gemma":[0.99572194,0.000018482222,0.00023708903,0.003090883,0.00015427588,0.00007968521,0.0000074178633,0.000021548785,0.0006686994],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99800736,0.00017375848,0.00036382006,0.0006731745,0.00027284777,0.0005090304],"domain_scores_gemma":[0.99902993,0.00038787484,0.000083426115,0.00037331614,0.000031013253,0.000094426265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002758462,0.00023272054,0.00022252869,0.00046596804,0.00084168685,0.00016238785,0.00035947567,0.00006739872,0.00011725232],"category_scores_gemma":[0.00036280398,0.00023155106,0.00016088768,0.00087215344,0.00019765005,0.0004253683,0.00017733978,0.00037687796,0.00005334234],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000079768315,0.000051163035,0.0017232763,0.000044609053,0.000007356804,0.00003403455,0.00018067939,0.00008542937,0.9320565,0.056981295,0.00011940067,0.008708288],"study_design_scores_gemma":[0.002034139,0.00048448163,0.7537598,0.0005521959,0.00006916454,0.000084335974,0.0009320666,0.06553181,0.042053144,0.100335196,0.03242023,0.0017434142],"about_ca_topic_score_codex":0.000016404078,"about_ca_topic_score_gemma":0.00001760769,"teacher_disagreement_score":0.8900033,"about_ca_system_score_codex":0.000045184952,"about_ca_system_score_gemma":0.000011809671,"threshold_uncertainty_score":0.9442378},"labels":[],"label_agreement":null},{"id":"W4414562516","doi":"10.1523/jneurosci.0520-25.2025","title":"Noninvasive Biomarkers for Assessing the Excitatory/Inhibitory Imbalance in Children with Epilepsy","year":2025,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Janeway Children's Health and Rehabilitation Centre","funders":"National Institute of Neurological Disorders and Stroke","keywords":"Magnetoencephalography; Epilepsy; Electroencephalography; Neurotypical; Electrophysiology; Inhibitory postsynaptic potential; Visual cortex; Transcranial magnetic stimulation; Evoked potential","score_opus":0.01830243526527443,"score_gpt":0.28305941615495117,"score_spread":0.26475698088967675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414562516","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992698,0.000035607703,0.0039000704,0.0016905591,0.0011319397,0.0002946352,0.000004186428,0.000009860808,0.0002351164],"genre_scores_gemma":[0.9966493,0.000035552777,0.0001811636,0.002933122,0.000066565284,0.000007700567,9.825486e-8,0.000008641005,0.00011783257],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986091,0.00013407502,0.000337731,0.00030078806,0.00034693873,0.00027134767],"domain_scores_gemma":[0.99878675,0.0005248979,0.00037340593,0.0001778287,0.00008411952,0.000053028136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000552,0.00012558223,0.00016849334,0.00023523532,0.00028411942,0.00019977088,0.0005327101,0.000030703653,7.574435e-7],"category_scores_gemma":[0.0010554865,0.00007517341,0.00008234561,0.00092604954,0.00034730625,0.0005901762,0.00005066321,0.000273184,4.5474866e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006762347,0.00008025796,0.11852848,0.000009750556,0.0000029418127,0.00004296345,0.000038625236,0.00067451136,0.87805575,0.0006613169,0.0004374627,0.0014003118],"study_design_scores_gemma":[0.001054478,0.000387117,0.9406761,0.00016379777,0.000018445427,0.00072534714,0.0000747897,0.0060460954,0.048919085,0.0008917143,0.00088225736,0.00016080652],"about_ca_topic_score_codex":0.0000026101714,"about_ca_topic_score_gemma":0.0000030202816,"teacher_disagreement_score":0.82913667,"about_ca_system_score_codex":0.00006160034,"about_ca_system_score_gemma":0.00024174702,"threshold_uncertainty_score":0.30654827},"labels":[],"label_agreement":null},{"id":"W4414564438","doi":"10.1016/j.neuroscience.2025.09.035","title":"Neuroanatomical correlates of auditory and visual statistical learning: Cortical and subcortical volume predictors","year":2025,"lang":"en","type":"article","venue":"Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Neuroimaging; Functional magnetic resonance imaging; Magnetic resonance imaging; Visual perception; Basal ganglia; Brain mapping; Human brain; Brain size; Statistical analysis","score_opus":0.009175853356766383,"score_gpt":0.25971755017900194,"score_spread":0.25054169682223554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414564438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99360996,0.000015291564,0.004415172,0.00032619148,0.0011270792,0.00014966112,0.000010226664,0.00007147268,0.0002749459],"genre_scores_gemma":[0.9988406,0.000081566985,0.00003026898,0.0005479194,0.000027233573,0.0000050516414,7.7721864e-7,0.000010151904,0.0004564349],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99807894,0.00022464714,0.00031781403,0.00069617556,0.0003553275,0.0003271224],"domain_scores_gemma":[0.9986445,0.0009483634,0.000072640156,0.000113257636,0.0000325036,0.00018875812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017369642,0.00015749417,0.00022140096,0.00013033376,0.00026642755,0.00008262343,0.00015019372,0.00007979775,0.000014261603],"category_scores_gemma":[0.004702492,0.00014048394,0.000029127685,0.00041242808,0.0016795496,0.00017147399,0.0002505879,0.00049012015,0.0000036047913],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013614712,0.00017436034,0.31024206,0.000047100963,0.000001371608,0.000056697874,0.000029782732,0.000058876336,0.6496574,0.035734817,0.0003203988,0.0035409483],"study_design_scores_gemma":[0.0002568196,0.0005188469,0.65695804,0.000013186993,0.000018284329,0.00004844301,0.000010838316,0.33688885,0.0038233802,0.00044989088,0.0008975207,0.00011589622],"about_ca_topic_score_codex":0.0000048601914,"about_ca_topic_score_gemma":7.678362e-7,"teacher_disagreement_score":0.645834,"about_ca_system_score_codex":0.000014453752,"about_ca_system_score_gemma":0.00006683221,"threshold_uncertainty_score":0.61883706},"labels":[],"label_agreement":null},{"id":"W4414641261","doi":"10.1111/ejn.70575","title":"Within- and Between- Channel Gaps Elicit Mismatch Negativity in the Aging Brain","year":2025,"lang":"en","type":"preprint","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mismatch negativity; Electrophysiology; Channel (broadcasting); Electroencephalography; Process (computing); Negativity effect","score_opus":0.057623625160196444,"score_gpt":0.2895870763178421,"score_spread":0.23196345115764563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414641261","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9811292,0.00007178981,0.001851497,0.012183518,0.0024430486,0.00030092034,0.000033999248,0.000026481941,0.0019594883],"genre_scores_gemma":[0.991082,0.00018198777,0.00008140958,0.007979724,0.00029619163,0.0000016089023,5.42032e-7,0.000021487762,0.00035505346],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9946079,0.0026292414,0.00085769047,0.0007294673,0.00078530266,0.00039039995],"domain_scores_gemma":[0.9972406,0.0010961909,0.0009889109,0.00046423657,0.00007516413,0.00013487041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039752666,0.00033607968,0.00041984467,0.00043450276,0.00031035018,0.0005272839,0.0017450919,0.000049298564,0.000001242901],"category_scores_gemma":[0.0031770642,0.00023660393,0.00014480561,0.00078479,0.00039307942,0.00033245745,0.0009517028,0.0020449155,0.0000026666676],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012112864,0.00034407678,0.003149248,0.0004833336,0.0000090464055,0.0043404396,0.007800092,0.013283107,0.951064,0.001565813,0.0018774843,0.015962237],"study_design_scores_gemma":[0.0034454635,0.0024411278,0.86120296,0.0045480723,0.000179993,0.0038194067,0.000771027,0.051855784,0.036532845,0.016931862,0.015840977,0.0024305116],"about_ca_topic_score_codex":0.000008812683,"about_ca_topic_score_gemma":0.000003836259,"teacher_disagreement_score":0.9145312,"about_ca_system_score_codex":0.000039137234,"about_ca_system_score_gemma":0.00013521106,"threshold_uncertainty_score":0.9648428},"labels":[],"label_agreement":null},{"id":"W4414697608","doi":"10.1101/2025.09.29.679241","title":"Lower Bound Estimates for Electrophysiological Power Dissipation in Human Gray Matter Using MEG","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; McGill University; Cleveland Clinic","keywords":"Electrophysiology; Dissipation; Magnetoencephalography; Energy budget; Human brain; Divergence (linguistics); Local field potential; Power (physics)","score_opus":0.023531258934618198,"score_gpt":0.2670854619664908,"score_spread":0.2435542030318726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414697608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99363387,0.00004763938,0.0034128937,0.00015395253,0.0013896467,0.0010053942,0.00017522566,0.00016812803,0.000013242189],"genre_scores_gemma":[0.99768704,0.000011924746,0.0011949156,0.0006756695,0.00013563746,0.00021933048,8.540538e-7,0.000059292634,0.000015335918],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99731743,0.00012592744,0.00050399604,0.0012319855,0.00024081279,0.0005798633],"domain_scores_gemma":[0.9986066,0.0001810539,0.00030237506,0.0006660232,0.00014631852,0.000097577766],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00024164564,0.0004778979,0.0004919075,0.00031626452,0.0002892761,0.00029909817,0.00042426496,0.00041623294,0.000052557032],"category_scores_gemma":[0.00037330264,0.0004535942,0.00017688258,0.00045011507,0.00012263645,0.0001811193,0.00031713492,0.00059177814,0.00001286118],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007972589,0.00016281343,0.0025319268,0.00015672667,0.00001160204,0.000015560086,0.0000019839397,0.0005068071,0.99480647,0.0016419467,0.00008397855,4.4304915e-7],"study_design_scores_gemma":[0.00063193525,0.00025638312,0.11866487,0.0004550994,0.00008044777,2.5982393e-8,5.909994e-7,0.021162381,0.8570007,0.0002935685,0.0004399946,0.0010139743],"about_ca_topic_score_codex":0.000033850523,"about_ca_topic_score_gemma":0.0000022219624,"teacher_disagreement_score":0.13780576,"about_ca_system_score_codex":0.0003264486,"about_ca_system_score_gemma":0.0001706064,"threshold_uncertainty_score":0.99979156},"labels":[],"label_agreement":null},{"id":"W4414700026","doi":"10.1101/2025.09.29.679383","title":"Beyond the straight path: high-density laminar recordings in the ventral hippocampus with curved microprobes","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microelectrode; Local field potential; Perpendicular; Planar; SIGNAL (programming language); Laminar flow; Dorsum; Electrical impedance; Orientation (vector space)","score_opus":0.011901960949876951,"score_gpt":0.20419293368595126,"score_spread":0.19229097273607432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414700026","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941334,0.000117704105,0.00024028997,0.0019370912,0.0019344409,0.0012046519,0.00023135143,0.00016727892,0.000033760476],"genre_scores_gemma":[0.99719936,0.00014489867,0.00037337787,0.0017557507,0.0002670182,0.00017269205,5.21517e-7,0.000053143744,0.00003326584],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99648947,0.000566131,0.0005191955,0.0012537702,0.00052295683,0.0006484564],"domain_scores_gemma":[0.9975675,0.00037866845,0.00041639604,0.0013817642,0.00016488087,0.00009083128],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00096556166,0.00057173485,0.00047246655,0.00018376774,0.00043829918,0.0004656286,0.0012689665,0.00033094228,0.000020578036],"category_scores_gemma":[0.00034378353,0.00035827505,0.00014830547,0.0009197525,0.00031041968,0.0001630771,0.0004476838,0.001571078,0.000017819539],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018549888,0.00031394183,0.00692583,0.00032503865,0.000041193336,0.00036298984,0.000070245784,0.00015673574,0.9843565,0.006400197,0.00082593656,0.00003586002],"study_design_scores_gemma":[0.0015159306,0.00033279194,0.5267246,0.00090798974,0.0002629866,7.226215e-7,0.000026624393,0.0016287528,0.46282786,0.0004039088,0.0036548004,0.0017130278],"about_ca_topic_score_codex":0.000237915,"about_ca_topic_score_gemma":0.000069521004,"teacher_disagreement_score":0.52152866,"about_ca_system_score_codex":0.0001989071,"about_ca_system_score_gemma":0.00031470903,"threshold_uncertainty_score":0.99988693},"labels":[],"label_agreement":null},{"id":"W4414757339","doi":"10.7554/elife.108270.1.sa3","title":"eLife Assessment: Fitting bifurcation structure, not voltage traces: A biophysically inspired derivation of reduced neuron models exemplified by potassium dynamics","year":2025,"lang":"en","type":"peer-review","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Bifurcation; Control theory (sociology); Dynamics (music); Phenomenological model; Potassium; Biological neuron model; Synchronization (alternating current); Quadratic equation; Voltage","score_opus":0.03663520434664587,"score_gpt":0.30313229964940436,"score_spread":0.2664970953027585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414757339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4401842,0.0020493,0.2634002,0.14158022,0.030726068,0.021196337,0.04179246,0.0028200627,0.056251165],"genre_scores_gemma":[0.89269423,0.0040058503,0.0011915857,0.01733835,0.00034558008,0.0002084162,0.011274298,0.00019844991,0.072743215],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99504787,0.00028981816,0.0015122038,0.0014550353,0.0012032178,0.0004918318],"domain_scores_gemma":[0.9960246,0.0005011176,0.0020097739,0.0009019246,0.00043938984,0.00012318298],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032834796,0.0007081431,0.0010819378,0.00037628645,0.00025285495,0.00016671744,0.0007757602,0.00046244994,0.000052708303],"category_scores_gemma":[0.000998729,0.00065087754,0.00032957812,0.0012132189,0.00012121989,0.00052328885,0.00023560207,0.00088833895,0.0000029833575],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052797102,0.00021186477,0.0000024175986,0.0032163828,0.000026761158,0.0000028322377,0.000017092,0.00073460944,0.91318184,0.008628908,0.054132182,0.019792287],"study_design_scores_gemma":[0.0012106793,0.00042470192,0.00026806013,0.0029023227,0.00041799695,0.0000093625395,0.000017388951,0.85830283,0.1145537,0.0035540583,0.0169754,0.0013634826],"about_ca_topic_score_codex":0.00024189641,"about_ca_topic_score_gemma":0.000053351927,"teacher_disagreement_score":0.85756826,"about_ca_system_score_codex":0.00033488427,"about_ca_system_score_gemma":0.00044989758,"threshold_uncertainty_score":0.9995943},"labels":[],"label_agreement":null},{"id":"W4414798346","doi":"10.1073/pnas.2512294122","title":"Overcoming the space clamp effect: Reliable recovery of local and effective synaptic conductances of neurons","year":2025,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Division of Mathematical Sciences; National Key Research and Development Program of China; Shanghai Jiao Tong University; Courant Institute of Mathematical Sciences, New York University; Science and Technology Commission of Shanghai Municipality; Shanghai Key Laboratory of Intelligent Information Processing; National Natural Science Foundation of China; York University; New York University Shanghai","keywords":"Excitatory postsynaptic potential; Soma; Inhibitory postsynaptic potential; Neuron; Current clamp; Conductance; Dendritic spike; Neurotransmission; Voltage clamp; Spike train","score_opus":0.020073978264273526,"score_gpt":0.27938003169534276,"score_spread":0.2593060534310692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414798346","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99369407,0.000098020326,0.000009187297,0.0022510034,0.00008897813,0.0003156852,0.000008949592,0.000005281832,0.0035288124],"genre_scores_gemma":[0.99950063,0.000057460104,0.00006527827,0.00024367092,0.000011248644,0.000009025709,1.8862027e-8,0.000002319247,0.00011033423],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99878246,0.000026729735,0.00025495313,0.00024554238,0.00057835144,0.00011196177],"domain_scores_gemma":[0.9977626,0.0016649,0.00042723276,0.000012719961,0.00011873467,0.00001377024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011257164,0.000084757456,0.00018719114,0.00013009827,0.00019013052,0.000016561871,0.0004667463,0.0000520634,0.0000020038556],"category_scores_gemma":[0.0019131138,0.00004715782,0.00006344324,0.0009143927,0.0018108853,0.00033429704,0.00016587423,0.0001715451,1.3322818e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005368421,0.000018457222,0.002194417,0.00015726329,0.0000065816025,4.790602e-9,0.00003849019,0.0003534895,0.9078375,0.08868376,0.00013246729,0.00052388804],"study_design_scores_gemma":[0.00015992086,0.00020187287,0.020406522,0.00020591331,0.000019820125,0.0000049090086,0.00008277046,0.005864255,0.9271598,0.0458049,0.00004502857,0.000044296274],"about_ca_topic_score_codex":0.000011107472,"about_ca_topic_score_gemma":1.3337305e-7,"teacher_disagreement_score":0.042878862,"about_ca_system_score_codex":0.000020022755,"about_ca_system_score_gemma":0.00002707712,"threshold_uncertainty_score":0.6672282},"labels":[],"label_agreement":null},{"id":"W4414865930","doi":"10.3389/fncir.2025.1634298","title":"Hippocampal phase precession may be generated by chimera dynamics","year":2025,"lang":"en","type":"article","venue":"Frontiers in Neural Circuits","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Cumming School of Medicine, University of Calgary","keywords":"Hippocampal formation; Oscillation (cell signaling); Chimera (genetics); Interneuron; Population; Precession; Rhythm; Theta rhythm","score_opus":0.018637569100611186,"score_gpt":0.285733160208281,"score_spread":0.2670955911076698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414865930","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9788815,0.00032847017,0.00712673,0.0024653538,0.0066251853,0.00057361147,0.00017039714,0.0001853394,0.0036434089],"genre_scores_gemma":[0.9918679,0.00011051906,0.00006359753,0.0033898186,0.00005585656,0.00003904035,0.00012459206,0.000029174456,0.0043194774],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99777985,0.00024999917,0.0004037022,0.0007572215,0.00029985452,0.00050939457],"domain_scores_gemma":[0.9993283,0.00008662663,0.00012084495,0.00032096746,0.000032651576,0.00011061828],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015181041,0.0002843845,0.0003151357,0.00031950563,0.0002329205,0.00012121267,0.0004093478,0.00016265856,0.00003187099],"category_scores_gemma":[0.00024925987,0.00026975677,0.0000872996,0.0011292128,0.00012366622,0.00033874955,0.00008615867,0.00045314926,0.000006059716],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017607074,0.00051778235,0.009521707,0.00006236361,0.00001396972,0.00006641382,0.000083716324,0.00064967485,0.5899775,0.0011131878,0.12903953,0.2687781],"study_design_scores_gemma":[0.003972638,0.0002861541,0.0014016407,0.00008183402,0.00003236229,0.000020604117,0.00007869011,0.87698984,0.10336348,0.0020085226,0.011125853,0.0006383841],"about_ca_topic_score_codex":0.000021224976,"about_ca_topic_score_gemma":0.000015934686,"teacher_disagreement_score":0.87634015,"about_ca_system_score_codex":0.00022652693,"about_ca_system_score_gemma":0.000054857333,"threshold_uncertainty_score":0.99997544},"labels":[],"label_agreement":null},{"id":"W4414905104","doi":"10.1101/2025.10.07.680895","title":"Compositional Recombination Relies on a Distributed Cortico-Cerebellar Network","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Health and Medical Research Council; Medical Research Council; Australian Research Council; Canadian Institutes of Health Research; University of Sydney","keywords":"Principle of compositionality; Cognition; Process (computing); Task (project management); Artificial neural network; Component (thermodynamics); Dimensionality reduction; Mechanism (biology)","score_opus":0.016928617517688458,"score_gpt":0.2257078830087016,"score_spread":0.20877926549101314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414905104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9810821,0.00014420277,0.005189471,0.0020302653,0.007233333,0.0012963809,0.0019818784,0.0008954714,0.00014693227],"genre_scores_gemma":[0.9971631,0.00022776975,0.00050135446,0.0014538552,0.00042383486,0.00013745585,0.00000578744,0.000053607535,0.000033212465],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9969247,0.00027665187,0.0005426072,0.0012094291,0.0005318219,0.00051478436],"domain_scores_gemma":[0.9978862,0.00036447326,0.00044626952,0.0008613957,0.00028372952,0.00015795688],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032268112,0.0004917101,0.0004463705,0.00021366276,0.00044549903,0.00029781176,0.00049194077,0.00042303998,0.000041096995],"category_scores_gemma":[0.00053208694,0.0005269355,0.00017665564,0.0007294861,0.00012121933,0.00011983985,0.0004279223,0.0009202375,0.00007609497],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002057746,0.00050095026,0.0012007756,0.0003041728,0.000065751374,0.00007929726,0.0000029365926,0.008224054,0.93457305,0.048366677,0.006467935,0.000008621989],"study_design_scores_gemma":[0.0018327731,0.0005037617,0.087756686,0.0022062473,0.00026106567,1.0551584e-7,0.0000012116769,0.043254822,0.8358378,0.0005283968,0.025474437,0.0023427303],"about_ca_topic_score_codex":0.000012093345,"about_ca_topic_score_gemma":0.0000011264906,"teacher_disagreement_score":0.09873529,"about_ca_system_score_codex":0.0004033184,"about_ca_system_score_gemma":0.00029745753,"threshold_uncertainty_score":0.99971825},"labels":[],"label_agreement":null},{"id":"W4414955718","doi":"10.1523/jneurosci.1041-25.2025","title":"Functional Connectivity Is Dominated by Aperiodic, Rather Than Oscillatory, Coupling","year":2025,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Région Bretagne; Institut des Neurosciences Cliniques de Rennes","keywords":"Aperiodic graph; Functional connectivity; Resting state fMRI; Identification (biology); Coupling (piping); Task (project management); Electroencephalography; Artificial neural network; Magnetoencephalography; Pattern recognition (psychology)","score_opus":0.02378557524217992,"score_gpt":0.2626124536688171,"score_spread":0.23882687842663716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414955718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885209,0.00005694263,0.0037855317,0.0029225461,0.0038205432,0.00011252898,0.000012603295,0.000029337785,0.00073905167],"genre_scores_gemma":[0.9903196,0.00006270709,0.0000143403995,0.007622928,0.000078756326,0.0000019112315,1.7655962e-7,0.000010265762,0.0018893031],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982594,0.000063158746,0.00039410783,0.0004044907,0.0005962939,0.0002825128],"domain_scores_gemma":[0.99888104,0.000307027,0.0003728845,0.00019163667,0.0001494205,0.00009801894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045010322,0.00016610656,0.0002330311,0.00023966846,0.00041476788,0.0002137177,0.0004051688,0.00006109856,0.000043133183],"category_scores_gemma":[0.001157115,0.00013355141,0.00014288355,0.0008792075,0.0003091898,0.0006050065,0.00009188225,0.00037976808,0.000011811949],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000085979365,0.000093533505,0.0014932724,0.0000067037486,0.0000014213039,0.000023773395,0.000016067976,0.00026767564,0.9892715,0.0006466603,0.007677496,0.0004158779],"study_design_scores_gemma":[0.0021701101,0.00075546675,0.071186095,0.00011707485,0.000045983354,0.0006077256,0.000058983063,0.089480996,0.75031316,0.0026114054,0.08212876,0.000524231],"about_ca_topic_score_codex":0.000004439283,"about_ca_topic_score_gemma":0.0000010125374,"teacher_disagreement_score":0.23895837,"about_ca_system_score_codex":0.00007416604,"about_ca_system_score_gemma":0.00016881527,"threshold_uncertainty_score":0.5446068},"labels":[],"label_agreement":null},{"id":"W4415071189","doi":"10.1101/2025.10.09.681394","title":"Phase-locking saccades to posterior alpha oscillations improves the neural representation of visual objects during memory formation","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital","funders":"University of Toronto; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Saccade; Magnetoencephalography; Fixation (population genetics); Representation (politics); Eye movement; Visual processing; Visual Objects; Gaze; Saccadic masking","score_opus":0.02238043361787499,"score_gpt":0.2789696895265384,"score_spread":0.2565892559086634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415071189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99498004,0.000057863974,0.0006354343,0.00058959867,0.0017825881,0.0014928477,0.00019845295,0.00024380648,0.000019381516],"genre_scores_gemma":[0.99875826,0.00004099939,0.00023584616,0.0004393466,0.00028034876,0.00017495197,7.12742e-7,0.000046865774,0.000022678581],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997156,0.00027458766,0.00074823695,0.0008832362,0.0005150449,0.0004228429],"domain_scores_gemma":[0.99779344,0.00027493812,0.0006549028,0.0008321591,0.00031872853,0.00012581622],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003057115,0.0004087131,0.00042178674,0.00048164686,0.00048652533,0.00031756744,0.000539442,0.0002245639,0.000008793818],"category_scores_gemma":[0.0009862272,0.00036546332,0.00018890941,0.0010948236,0.000100775476,0.00050607126,0.00067577185,0.0005160443,0.000008754376],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000094681054,0.00011446641,0.00014851199,0.00029192757,0.000018204824,0.0000056281156,0.000072599076,0.001182406,0.9979078,0.00009401538,0.000022714314,0.000047016725],"study_design_scores_gemma":[0.0006228077,0.00013437551,0.017443407,0.00025873852,0.0000674176,1.0385497e-7,0.000020768737,0.025074651,0.95598304,0.0000037811683,0.000042437783,0.00034847236],"about_ca_topic_score_codex":0.00005243614,"about_ca_topic_score_gemma":0.0000068252684,"teacher_disagreement_score":0.04192479,"about_ca_system_score_codex":0.00020146984,"about_ca_system_score_gemma":0.0001865037,"threshold_uncertainty_score":0.9998797},"labels":[],"label_agreement":null},{"id":"W4415214779","doi":"10.4006/0836-1398-38.1.57","title":"Ephaptic information flow: Information processing in groups of neurons","year":2025,"lang":"en","type":"article","venue":"Physics Essays","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Distortion (music); Coupling (piping); Mutual information; Information processing; SIGNAL (programming language); Matrix (chemical analysis); Signal processing; Coupling strength","score_opus":0.013006480251681891,"score_gpt":0.23824204474069377,"score_spread":0.22523556448901189,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415214779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73299766,0.000012156665,0.1282695,0.00086710963,0.0009660771,0.0007207725,0.000044452943,0.00015756077,0.13596472],"genre_scores_gemma":[0.9991655,0.000008602057,0.00007805434,0.0006801268,0.000014411071,0.0000144358555,0.000017028924,0.0000028770953,0.000018976194],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99932504,0.000028334032,0.0002808607,0.00008095306,0.0001583113,0.00012648384],"domain_scores_gemma":[0.9996312,0.000052307125,0.00013436153,0.00011548035,0.00005080845,0.000015833679],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000083726714,0.00008029342,0.00010112037,0.000138269,0.0000658562,0.00006277924,0.00011323434,0.000029540308,0.0000025267618],"category_scores_gemma":[0.00015453025,0.00007817948,0.000030393912,0.0006432768,0.000036247788,0.0023667205,0.000049182014,0.00011824626,0.000018910247],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063137086,0.0001187948,0.0006760595,0.0004654767,0.0000018619535,7.705619e-7,0.0011055021,0.019032946,0.054335784,0.4205645,0.0001958201,0.50343937],"study_design_scores_gemma":[0.00053764606,0.000039667568,0.0018075245,0.00008813741,0.000008332851,0.0000011651817,0.00006939301,0.87371844,0.015668685,0.10728812,0.00064520625,0.00012769947],"about_ca_topic_score_codex":0.000011944832,"about_ca_topic_score_gemma":0.0000023865014,"teacher_disagreement_score":0.8546855,"about_ca_system_score_codex":0.000031523352,"about_ca_system_score_gemma":0.000044865494,"threshold_uncertainty_score":0.31880665},"labels":[],"label_agreement":null},{"id":"W4415282033","doi":"10.1111/brv.70093","title":"Simultaneous encoding of sensory features: the role of multiplexing and noise in tactile perception and neural representation","year":2025,"lang":"en","type":"article","venue":"Biological reviews/Biological reviews of the Cambridge Philosophical Society","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Multiplexing; Sensory system; Neural engineering; Stimulus (psychology); Encoding (memory); Coding (social sciences); Perception","score_opus":0.07950047690855597,"score_gpt":0.3196969266934276,"score_spread":0.24019644978487162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415282033","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9733492,0.021360768,0.000051312796,0.0029207733,0.00013991498,0.0017883809,0.000040330502,0.00001727822,0.00033204444],"genre_scores_gemma":[0.88824683,0.110212296,0.00016076105,0.0012523609,0.000057696383,0.00004339078,0.0000049114346,0.0000046451496,0.000017104598],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99637836,0.001543998,0.0010714387,0.00058824575,0.00017103899,0.00024690563],"domain_scores_gemma":[0.996024,0.0028431248,0.0006393394,0.000377668,0.000056216148,0.00005966041],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0012993795,0.00026404436,0.0009709365,0.000026937798,0.00016170302,0.000015264233,0.0003999835,0.00026294042,0.000008437181],"category_scores_gemma":[0.012876615,0.000115382936,0.0005508746,0.000500404,0.0010330277,0.000065459855,0.00044402725,0.00053535623,8.271965e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001051869,0.00011502006,0.007705923,0.00025057408,0.0000068824056,7.52772e-7,0.00006055147,0.00003245099,0.9165827,0.006248307,0.000043797874,0.06884783],"study_design_scores_gemma":[0.0050432547,0.0038010443,0.57403827,0.007209394,0.00056420965,0.00022631572,0.0012942334,0.10169929,0.12603815,0.108437285,0.06888464,0.0027639314],"about_ca_topic_score_codex":0.000023695895,"about_ca_topic_score_gemma":0.0000012484322,"teacher_disagreement_score":0.79054457,"about_ca_system_score_codex":0.00003841036,"about_ca_system_score_gemma":0.000011063623,"threshold_uncertainty_score":0.99543834},"labels":[],"label_agreement":null},{"id":"W4415363486","doi":"10.21203/rs.3.rs-7795359/v1","title":"Compositional Recombination Relies on a Distributed Cortico-Cerebellar Network","year":2025,"lang":"","type":"preprint","venue":"Research Square","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Health and Medical Research Council; Medical Research Council; Canadian Institutes of Health Research; University of Sydney","keywords":"Principle of compositionality; Cognition; Process (computing); Task (project management); Artificial neural network; Component (thermodynamics); Dimensionality reduction; Mechanism (biology)","score_opus":0.07047746310967985,"score_gpt":0.3791699939310718,"score_spread":0.308692530821392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415363486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81238216,0.0014437735,0.01188377,0.05530583,0.025233239,0.01892839,0.015928147,0.0010837641,0.057810947],"genre_scores_gemma":[0.983585,0.0035790831,0.00011005298,0.00060973584,0.000883762,0.000433134,0.0031472861,0.00006388469,0.007588085],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9875974,0.0034337614,0.0011289364,0.0024480706,0.003607719,0.0017841351],"domain_scores_gemma":[0.99092734,0.0050536077,0.00042454537,0.0014694765,0.0017009716,0.00042408082],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0029287108,0.00070948096,0.00076259935,0.0008370387,0.002781012,0.0009967007,0.001245747,0.0007961558,0.00058626465],"category_scores_gemma":[0.0030571544,0.00072709617,0.00047842241,0.0028817095,0.00073482416,0.00022038358,0.0021885291,0.004853081,0.000503993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007586765,0.007606002,0.0049122316,0.00685406,0.00039161745,0.0007423372,0.0005295633,0.243961,0.036080755,0.47068393,0.1733792,0.047272526],"study_design_scores_gemma":[0.0048563736,0.0089233965,0.06546375,0.01890798,0.00019550894,0.000084274,0.00034443528,0.5711301,0.019992882,0.17070478,0.13618694,0.0032095723],"about_ca_topic_score_codex":0.00012237488,"about_ca_topic_score_gemma":0.000040361774,"teacher_disagreement_score":0.3271691,"about_ca_system_score_codex":0.0015451908,"about_ca_system_score_gemma":0.0009874327,"threshold_uncertainty_score":0.99951804},"labels":[],"label_agreement":null},{"id":"W4415394233","doi":"10.1162/imag.a.999","title":"Expectation dynamically modulates the representational time course of objects and locations","year":2025,"lang":"en","type":"article","venue":"Imaging Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Research Computing Centre, University of Queensland; National Health and Medical Research Council; Australian Research Council","keywords":"Decoding methods; Stimulus (psychology); Predictability; Predictive coding; Neural decoding; Visual perception; Cognitive neuroscience of visual object recognition; Information theory; Visual Objects","score_opus":0.010607023367448579,"score_gpt":0.2802325574553987,"score_spread":0.26962553408795015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415394233","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9850562,0.000030131601,0.0060940683,0.0067277234,0.0004433765,0.00022345083,0.000010971766,0.00005755352,0.001356531],"genre_scores_gemma":[0.99768615,0.000013701273,0.00007412462,0.0015677836,0.000009570813,0.000010687727,0.0000014028236,0.0000045595816,0.0006320163],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990658,0.0000799172,0.00016417977,0.0003560202,0.00019775961,0.00013628225],"domain_scores_gemma":[0.9991923,0.00042913095,0.000084602885,0.00021157293,0.000055602806,0.00002678163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012301515,0.000078991725,0.00007154568,0.00008269475,0.00029180845,0.0000908244,0.00022583852,0.000010989151,0.000003968728],"category_scores_gemma":[0.0007363867,0.0000583886,0.000025573288,0.00054613786,0.000530345,0.00026970584,0.000088845634,0.00008316746,0.0000026030048],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000051300576,0.000031632215,0.002758927,0.0000051231027,3.6269577e-7,0.0000014532836,0.00011018097,0.001172612,0.98942703,0.004305364,0.000116610696,0.0020655682],"study_design_scores_gemma":[0.00013184604,0.00001749238,0.14816745,0.000017430615,0.0000070980936,0.000024441759,0.00007067956,0.76664364,0.08036636,0.0043933312,0.00008690958,0.00007334701],"about_ca_topic_score_codex":0.000014069439,"about_ca_topic_score_gemma":0.000002128875,"teacher_disagreement_score":0.90906066,"about_ca_system_score_codex":0.000011988076,"about_ca_system_score_gemma":0.000059129023,"threshold_uncertainty_score":0.23810181},"labels":[],"label_agreement":null},{"id":"W4415535064","doi":"10.1101/2025.10.24.683575","title":"Order-Selective Cells Tile Temporal Space and Predict Order Memory in Humans","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Krembil Foundation; University Health Network","funders":"Anschutz Medical Campus, University of Colorado; National Institutes of Health; Cedars-Sinai Medical Center","keywords":"Episodic memory; Temporal lobe; Event (particle physics); Representation (politics); Encoding (memory); Temporal cortex; Prefrontal cortex; Orbitofrontal cortex; Time perception","score_opus":0.01322675582528885,"score_gpt":0.2214182996585104,"score_spread":0.20819154383322155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415535064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99398655,0.00019833229,0.0007198945,0.00042021004,0.0022498542,0.0013728242,0.00039345838,0.0003842037,0.0002746773],"genre_scores_gemma":[0.9975921,0.00026808944,0.00095876865,0.0005320948,0.00019599391,0.00017478886,3.6784914e-7,0.00007565482,0.00020217552],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9965942,0.00027499947,0.00049311144,0.0016407343,0.0003943141,0.00060262275],"domain_scores_gemma":[0.9981675,0.0002047534,0.00031344974,0.0008412776,0.00029233022,0.00018067948],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004206517,0.00058328005,0.00057567423,0.0005007539,0.00021812614,0.00024608796,0.00048062575,0.00049230084,0.000035166704],"category_scores_gemma":[0.00058131,0.00061922095,0.00008332696,0.0013282824,0.00019987742,0.00021148585,0.00068634516,0.0012064705,0.000022121487],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006637849,0.0002046593,0.0058464,0.0003749295,0.00002439204,0.00009085549,0.000026201984,0.000514673,0.99092346,0.0011411782,0.00078294793,0.000003930665],"study_design_scores_gemma":[0.0014412572,0.00020399863,0.047292314,0.0006931689,0.000094931915,4.317939e-8,0.00000960076,0.01287075,0.9302678,0.00004793256,0.0055926894,0.0014855058],"about_ca_topic_score_codex":0.00023128711,"about_ca_topic_score_gemma":0.000045927358,"teacher_disagreement_score":0.060655646,"about_ca_system_score_codex":0.00026444154,"about_ca_system_score_gemma":0.0006702502,"threshold_uncertainty_score":0.9996259},"labels":[],"label_agreement":null},{"id":"W4415559389","doi":"10.1101/2025.10.25.684525","title":"Influence of STDP rule choice and network connectivity on polychronous groups and cell ensembles in spiking neural networks","year":2025,"lang":"","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Spiking neural network; Artificial neural network; Hippocampal formation; Encoding (memory); Spike-timing-dependent plasticity; Pattern recognition (psychology)","score_opus":0.009902963544815933,"score_gpt":0.21254942462990242,"score_spread":0.2026464610850865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415559389","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99475735,0.0014084828,0.00039030923,0.00015112756,0.0016988817,0.0013429461,0.000119789685,0.000117358206,0.000013741127],"genre_scores_gemma":[0.996666,0.0019036816,0.00016019607,0.0007104846,0.00038394873,0.00008376992,1.7857388e-7,0.00008587129,0.0000058377477],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9939826,0.00070834224,0.0011496426,0.0024648574,0.0004945815,0.0011999417],"domain_scores_gemma":[0.9954594,0.0016956651,0.0010505234,0.0011963645,0.00024375468,0.00035434315],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010954521,0.0010533861,0.0012825507,0.0004938757,0.0005064113,0.00036214583,0.000623037,0.00076776743,0.000005378035],"category_scores_gemma":[0.0007621583,0.001189172,0.00014537819,0.0015166342,0.0005761055,0.0004645082,0.0011801396,0.0018847137,0.0000018068921],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030126947,0.00040324582,0.16249591,0.0011599662,0.00003753872,0.00007657491,0.000022701764,0.26050642,0.5733803,0.00155342,0.000011142803,0.000051501982],"study_design_scores_gemma":[0.0012161272,0.00041994732,0.743959,0.0014475719,0.00009731492,1.1393109e-7,0.0000029681214,0.20118655,0.050527643,0.000009702483,0.00010911108,0.0010239263],"about_ca_topic_score_codex":0.00046689113,"about_ca_topic_score_gemma":0.000060692706,"teacher_disagreement_score":0.5814631,"about_ca_system_score_codex":0.00026572964,"about_ca_system_score_gemma":0.00027877805,"threshold_uncertainty_score":0.9990558},"labels":[],"label_agreement":null},{"id":"W4415666893","doi":"10.1016/j.humov.2025.103423","title":"Phase resetting with temporal template explains complexity matching in finger tapping to fractal rhythms","year":2025,"lang":"en","type":"article","venue":"Human Movement Science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Holland Bloorview Kids Rehabilitation Hospital","funders":"","keywords":"Detrended fluctuation analysis; Hurst exponent; Tapping; Finger tapping; Fractal; Rhythm; Autocorrelation; Interval (graph theory); Phase locking","score_opus":0.06725416982989847,"score_gpt":0.3488215307834523,"score_spread":0.28156736095355384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415666893","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902208,0.0000019039677,0.0043662833,0.0010418381,0.00021815854,0.0004400886,0.000006986208,0.0000697646,0.0036341948],"genre_scores_gemma":[0.9941312,6.086749e-7,0.00091031287,0.004335552,0.000028655342,0.000032218843,0.0000024879232,0.00000886865,0.0005500793],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977408,0.00005251476,0.00031697348,0.00076625793,0.0005842806,0.0005391897],"domain_scores_gemma":[0.9993522,0.00008282151,0.000111402,0.00030872715,0.000038882456,0.00010592097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081830815,0.00016620716,0.00016330722,0.0004927099,0.0010447849,0.0003093444,0.0004364953,0.000022793149,0.00003492972],"category_scores_gemma":[0.0001520367,0.00014498399,0.000027163906,0.0015375679,0.00033028086,0.0006162462,0.00030457127,0.00023304249,0.000011635003],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044447344,0.00020124842,0.0033128946,0.000018527086,0.000001077456,0.00005052951,0.0005472298,0.0008749046,0.97336924,0.02005759,0.0000906107,0.0014316818],"study_design_scores_gemma":[0.009562147,0.002712635,0.13724421,0.0021800736,0.000019252431,0.000033305645,0.002773135,0.11244445,0.6597939,0.067451805,0.0035919957,0.0021930665],"about_ca_topic_score_codex":0.00025752775,"about_ca_topic_score_gemma":0.00038214857,"teacher_disagreement_score":0.31357533,"about_ca_system_score_codex":0.00019653491,"about_ca_system_score_gemma":0.0000806596,"threshold_uncertainty_score":0.8035747},"labels":[],"label_agreement":null},{"id":"W4415671717","doi":"10.1523/jneurosci.2305-24.2025","title":"Input-Specific Organization of Intrinsic Excitability Expands Coding Capacity of Fast-Spiking Auditory Neurons","year":2025,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Postsynaptic potential; Tonic (physiology); Excitatory postsynaptic potential; Population; Trapezoid body; Neuron; Inhibitory postsynaptic potential; Brainstem; Neural coding","score_opus":0.03501490774073122,"score_gpt":0.25728617564212913,"score_spread":0.22227126790139792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415671717","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9862066,0.000009702583,0.009210717,0.00030402353,0.00392726,0.000112303656,0.000007982994,0.000015518284,0.00020591903],"genre_scores_gemma":[0.99933505,0.00012544554,0.000101663856,0.00028494408,0.00009142331,5.584862e-7,1.3956632e-7,0.000009519468,0.000051249524],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978847,0.00020687045,0.0007846199,0.00032713692,0.00058239175,0.00021430489],"domain_scores_gemma":[0.99792325,0.00042078673,0.00090183807,0.00028258224,0.0003947396,0.00007678415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005166995,0.00014404053,0.00032612105,0.00041180517,0.00018628297,0.000052194402,0.0005592599,0.000052943695,0.000010021028],"category_scores_gemma":[0.0032142538,0.00012250817,0.00010909763,0.0019481577,0.00046797938,0.00057862577,0.00015200092,0.0003452046,6.1779093e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002534925,0.00012682867,0.004473792,0.000045528617,8.6409256e-7,0.000008409371,0.000113844144,0.00043063756,0.9910329,0.0016776283,0.00008380132,0.0019804193],"study_design_scores_gemma":[0.00043283222,0.00036696508,0.30017343,0.00012362124,0.000015453536,0.00009201278,0.00005401265,0.0020510745,0.6952191,0.00063963,0.00070252595,0.00012936171],"about_ca_topic_score_codex":0.0000030007245,"about_ca_topic_score_gemma":8.849132e-7,"teacher_disagreement_score":0.29581383,"about_ca_system_score_codex":0.00007369921,"about_ca_system_score_gemma":0.00015090287,"threshold_uncertainty_score":0.4995738},"labels":[],"label_agreement":null},{"id":"W4415714035","doi":"10.1101/2025.10.29.685016","title":"Temporal dynamics of noradrenaline release at fine spatial scales during motor learning","year":2025,"lang":"","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Ottawa","funders":"Eagles Autism Foundation","keywords":"Optogenetics; Calcium imaging; Locus coeruleus; Sensory system; Neuroplasticity; Spatial learning; Premovement neuronal activity; Motor cortex; Motor learning","score_opus":0.010184667899927774,"score_gpt":0.21130853128145924,"score_spread":0.20112386338153146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415714035","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9881463,0.0003019224,0.002940312,0.00055920664,0.0038897493,0.001530745,0.0021857696,0.00042898586,0.000016991344],"genre_scores_gemma":[0.9967608,0.0006221701,0.0008936137,0.000110747016,0.0006856264,0.00012929123,0.0000060414304,0.00021243164,0.000579271],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9912584,0.0007740381,0.002253989,0.0030244496,0.0013016354,0.001387482],"domain_scores_gemma":[0.9935059,0.0004592956,0.0023390315,0.0021052356,0.00095538853,0.0006351274],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00090370944,0.0015272597,0.0017284807,0.0010094561,0.001103151,0.00031284985,0.0014277064,0.0010562615,0.00023461347],"category_scores_gemma":[0.002198341,0.0017370291,0.0007388101,0.0017669123,0.000702281,0.00039047017,0.0026681465,0.0024293077,0.00007424157],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009676505,0.0005148141,0.037564985,0.0024409045,0.00012812737,0.00022614295,0.000008726536,0.0045915297,0.9529498,0.00056327396,0.000027013197,0.000017014192],"study_design_scores_gemma":[0.0020541965,0.0004580335,0.12410657,0.0018343385,0.00030917628,2.4028918e-7,0.0000037096756,0.20047285,0.6680472,0.000003117695,0.00086483377,0.0018457195],"about_ca_topic_score_codex":0.00052800536,"about_ca_topic_score_gemma":0.00024999934,"teacher_disagreement_score":0.2849026,"about_ca_system_score_codex":0.0015216352,"about_ca_system_score_gemma":0.00081902655,"threshold_uncertainty_score":0.99987215},"labels":[],"label_agreement":null},{"id":"W4415731599","doi":"10.1038/s41593-025-02095-x","title":"Specialized structure of neural population codes in parietal cortex outputs","year":2025,"lang":"en","type":"article","venue":"Nature Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Mental Health","keywords":"Posterior parietal cortex; Population; Systems neuroscience; Pairwise comparison; Calcium imaging; Parietal lobe; Neural coding; Cortex (anatomy); Nerve net","score_opus":0.012408440396472332,"score_gpt":0.2825979182423095,"score_spread":0.2701894778458372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415731599","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947101,0.000036597652,0.00011805611,0.0005460416,0.0034097608,0.00028768455,0.000044860575,0.000049408492,0.00079750357],"genre_scores_gemma":[0.99668765,0.000014672077,0.0000377053,0.002886617,0.000043168733,0.000002121157,0.0000069339967,0.000008194068,0.00031293646],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99819577,0.00012894717,0.00032696762,0.0006267525,0.0004377786,0.0002838002],"domain_scores_gemma":[0.9993117,0.00017340817,0.00015449952,0.00027374618,0.00004055399,0.000046089124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009566546,0.00016761248,0.0002364604,0.00029774755,0.0001317213,0.00007044776,0.00042158307,0.00018741589,0.000011366388],"category_scores_gemma":[0.0014533598,0.00014446805,0.000066277236,0.0016323831,0.00019553826,0.00030994538,0.00011110768,0.00062846986,6.5658105e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063410705,0.000040928408,0.012710557,0.000016902626,2.4864147e-7,0.000012539822,0.000016572101,0.00038922572,0.960319,0.024754392,0.00007697898,0.001599236],"study_design_scores_gemma":[0.0006107631,0.00009878913,0.77185225,0.000034225555,0.000007081918,0.000018892153,0.00000734214,0.028201884,0.19154075,0.0062864437,0.0011460818,0.00019550866],"about_ca_topic_score_codex":0.000033600358,"about_ca_topic_score_gemma":0.00010805705,"teacher_disagreement_score":0.76877826,"about_ca_system_score_codex":0.00004072775,"about_ca_system_score_gemma":0.00004409832,"threshold_uncertainty_score":0.5891236},"labels":[],"label_agreement":null},{"id":"W4415957618","doi":"","title":"Nonlinear coupling of the Poisson-Nernst Planck system of equations using the Discrete Duality Finite Volumes method: application to signal propagation in dendritic spines","year":2025,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Nonlinear system; Robustness (evolution); Context (archaeology); Duality (order theory); Boundary value problem; Coupling (piping); Polygon mesh; Boundary (topology); Numerical analysis","score_opus":0.031624118702488664,"score_gpt":0.2888541034014974,"score_spread":0.25722998469900876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415957618","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26458937,0.00004815138,0.7298305,0.0031928376,0.00028709223,0.0012310304,0.00026809986,0.000046080233,0.000506826],"genre_scores_gemma":[0.986244,0.00001623029,0.013014606,0.00005784161,0.000020677466,0.0001025622,0.00008079344,0.000016704476,0.0004465407],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99535066,0.0026066273,0.0007840292,0.0005790253,0.00047765006,0.00020201],"domain_scores_gemma":[0.9937038,0.003169589,0.00084320497,0.0013069398,0.00092900975,0.00004749573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004059501,0.00021093189,0.00032872567,0.00019157662,0.00033114845,0.000121531455,0.0009881784,0.00014122712,0.000003855925],"category_scores_gemma":[0.0031539993,0.00016053322,0.00015515547,0.0009379458,0.00017188875,0.00009553081,0.0008777522,0.00042152443,0.0000013288949],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050048642,0.00041951772,0.004363199,0.0015514975,0.000034036297,8.9603196e-7,0.004785481,0.2238934,0.6325814,0.12400836,0.000018076213,0.008294101],"study_design_scores_gemma":[0.00012969952,4.795111e-7,0.001014939,0.0016812311,0.000033681135,0.0000014914715,0.0001160934,0.78091156,0.21522078,0.00071656983,0.00005696636,0.00011653039],"about_ca_topic_score_codex":0.0019966268,"about_ca_topic_score_gemma":0.0014977695,"teacher_disagreement_score":0.72165465,"about_ca_system_score_codex":0.00015209564,"about_ca_system_score_gemma":0.00025702806,"threshold_uncertainty_score":0.6546355},"labels":[],"label_agreement":null},{"id":"W4415968357","doi":"10.1109/tbme.2025.3630112","title":"Contrast-based artifact removal enables microstate analysis in ambulatory EEG","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Artifact (error); Electroencephalography; Ministate; Neurophysiology; Neural activity; Artificial neural network; Pattern recognition (psychology)","score_opus":0.008946562564455042,"score_gpt":0.22897256377705588,"score_spread":0.22002600121260085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415968357","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34351704,0.000011435697,0.65505034,0.00045577958,0.0006445769,0.00011232512,0.000033209493,0.00012937082,0.000045949382],"genre_scores_gemma":[0.9986073,0.00002391027,0.0004342647,0.0006346597,0.000011730391,0.000021789976,0.0000044375006,0.000013541414,0.00024840565],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987299,0.000034673216,0.0003015844,0.000384353,0.00023232841,0.0003171943],"domain_scores_gemma":[0.99933726,0.00031354855,0.000028838294,0.00019940759,0.000013973507,0.000106959524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015075335,0.00016834239,0.00023245566,0.0009146902,0.000086162814,0.00004170382,0.0001287518,0.00010467979,0.00005389126],"category_scores_gemma":[0.00003605359,0.00016070373,0.00020141294,0.002202806,0.00007942436,0.00008140339,0.0000012653409,0.00032893298,0.000012448121],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042150717,0.00013895652,0.000009427937,0.000022609915,0.000033678396,0.00004351081,0.000012804062,0.30051753,0.6902296,0.00005968458,0.000020024234,0.008870027],"study_design_scores_gemma":[0.00057569944,0.00004498916,0.0006219856,0.00004696129,0.00006755898,0.0000038012092,0.000005684773,0.7798603,0.21580213,0.000016137583,0.0028046207,0.0001501137],"about_ca_topic_score_codex":0.00004244952,"about_ca_topic_score_gemma":0.000027375629,"teacher_disagreement_score":0.6550902,"about_ca_system_score_codex":0.00012059248,"about_ca_system_score_gemma":0.00005194931,"threshold_uncertainty_score":0.6553308},"labels":[],"label_agreement":null},{"id":"W4415976398","doi":"10.1371/journal.pcbi.1013661","title":"Cortical state contributions to neuronal response variability in the early visual cortex: A system identification approach","year":2025,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"Receptive field; Visual cortex; Local field potential; Population; Pattern recognition (psychology); Parametric statistics; Convolutional neural network; Visual perception; Electroencephalography","score_opus":0.020731819695943465,"score_gpt":0.30571353939061063,"score_spread":0.2849817196946672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415976398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8623072,0.000001364614,0.13429588,0.0021917028,0.00023260196,0.00058107177,0.00017766902,0.000054127646,0.00015838287],"genre_scores_gemma":[0.998159,3.1356223e-7,0.00015170769,0.0014122769,0.000024006999,0.00013489503,0.0000674197,0.000004537193,0.000045875877],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9961778,0.002546318,0.00039872617,0.00047568654,0.00018348344,0.00021797232],"domain_scores_gemma":[0.9952841,0.0043056994,0.00007358121,0.00015590628,0.00013713592,0.000043580356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012653607,0.00010698894,0.00015093235,0.00016762734,0.00022831754,0.00006846796,0.00023342075,0.000059082282,0.0000030974807],"category_scores_gemma":[0.0029614142,0.000082606384,0.000043441858,0.0006667702,0.00013590271,0.000060249477,0.00007015731,0.00023446168,0.000039560953],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015551635,0.0008089736,0.006217424,0.000034897603,0.000016242975,0.000010156678,0.00024188186,0.010575781,0.5136949,0.46606722,0.0001107058,0.0006666685],"study_design_scores_gemma":[0.00039381793,0.00019917994,0.5691174,0.000010042841,0.000011954519,0.000016885479,0.000032939923,0.41483882,0.0011788897,0.013985513,0.00011004112,0.00010446918],"about_ca_topic_score_codex":0.000011656066,"about_ca_topic_score_gemma":0.0000021402682,"teacher_disagreement_score":0.5629,"about_ca_system_score_codex":0.00015325533,"about_ca_system_score_gemma":0.0001256108,"threshold_uncertainty_score":0.35453033},"labels":[],"label_agreement":null},{"id":"W4416008744","doi":"10.1016/j.neuron.2025.11.023","title":"How heterogeneity shapes dynamics and computation in the brain","year":2025,"lang":"en","type":"article","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"Army Research Laboratory; Deutsche Forschungsgemeinschaft; Simons Foundation; Multidisciplinary University Research Initiative; McKnight Foundation; National Science Foundation; Pew Charitable Trusts; McKnight Endowment Fund for Neuroscience","keywords":"Perspective (graphical); Identification (biology); Cluster analysis; Dynamics (music); Computation; Models of neural computation; Artificial neural network; Computational neuroscience; Computational model","score_opus":0.024701431250407732,"score_gpt":0.27383998434658186,"score_spread":0.2491385530961741,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416008744","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9747494,0.000009793719,0.0020842531,0.022059795,0.00018514894,0.00016580487,0.000004646833,0.00002538744,0.0007158063],"genre_scores_gemma":[0.99274963,0.000013709376,0.000016554146,0.0068958118,0.00001263996,0.000006163445,0.0000024329186,0.0000041484614,0.00029892928],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993323,0.0001568262,0.000072859424,0.00023189392,0.00009904867,0.00010708244],"domain_scores_gemma":[0.9995306,0.00034831933,0.0000273295,0.00007512081,0.0000066142525,0.000011974802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009769403,0.00006909993,0.000060250382,0.00006371206,0.00009127605,0.00013960534,0.000101375175,0.00002653218,5.2915425e-7],"category_scores_gemma":[0.0002091375,0.000050876188,0.000018616685,0.00023445942,0.000044316977,0.000102185375,0.000040859966,0.00012116131,0.0000010700992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011770834,0.00024116265,0.014905161,0.00012146118,0.0000039408096,0.00008944627,0.00030354795,0.0028832052,0.602587,0.09185858,0.0018573792,0.28503144],"study_design_scores_gemma":[0.0004318358,0.00013460845,0.18042146,0.000014218736,0.0000052454825,0.000024925801,0.0000532601,0.8082945,0.004526948,0.004231043,0.0017454549,0.0001165038],"about_ca_topic_score_codex":0.000008757561,"about_ca_topic_score_gemma":0.00015969921,"teacher_disagreement_score":0.8054113,"about_ca_system_score_codex":0.000016249282,"about_ca_system_score_gemma":0.0000062003746,"threshold_uncertainty_score":0.20746708},"labels":[],"label_agreement":null},{"id":"W4416102996","doi":"10.1016/j.crmeth.2025.101221","title":"High-speed neural imaging with multiplexed miniaturized two-photon microscopy","year":2025,"lang":"en","type":"article","venue":"Cell Reports Methods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; National Eye Institute; National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; Canadian Institutes of Health Research; Burroughs Wellcome Fund; National Science Foundation","keywords":"Frame rate; Microscope; Multiplexing; Calcium imaging; Population; Microscopy; Neural activity; Image resolution","score_opus":0.018569409383983285,"score_gpt":0.3343659698309943,"score_spread":0.31579656044701104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416102996","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97792464,0.000080152684,0.009729431,0.00047950723,0.0040005883,0.0006872602,0.000004233368,0.00027061172,0.0068235816],"genre_scores_gemma":[0.8043539,0.000012709394,0.18371251,0.0020116267,0.000075472366,0.000027399423,0.0000109696975,0.00004733462,0.009748093],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99725306,0.0004988713,0.0005466096,0.0009876359,0.00025518492,0.00045865827],"domain_scores_gemma":[0.9980364,0.00066995557,0.00039175784,0.00070675433,0.00008202583,0.0001131043],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008152373,0.0003105782,0.00039498188,0.00021379595,0.0002734379,0.00017656878,0.00019458776,0.00006628469,0.000050476603],"category_scores_gemma":[0.00067048444,0.00024542693,0.00012928343,0.0006652564,0.00016377096,0.00019825586,0.00012884296,0.00034446234,0.0000042596885],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001549283,0.00007243076,0.00081158266,0.000034510384,0.000004672181,0.0005784414,0.00003716185,0.00017228379,0.99061656,0.000103788945,0.00028471526,0.0071289507],"study_design_scores_gemma":[0.00094165205,0.000048061196,0.0008711135,0.000031632004,0.00004364889,0.00023297085,0.000019707444,0.013798368,0.9767072,0.0009258295,0.006110326,0.00026944093],"about_ca_topic_score_codex":0.00012140412,"about_ca_topic_score_gemma":0.000004888163,"teacher_disagreement_score":0.17398308,"about_ca_system_score_codex":0.000071079165,"about_ca_system_score_gemma":0.00009296996,"threshold_uncertainty_score":0.9999998},"labels":[],"label_agreement":null},{"id":"W4416197021","doi":"10.1523/jneurosci.1633-25.2025","title":"No Central Executive? Decision Formation Through Multi-Area Population Dynamics","year":2025,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Perception; Hierarchy; Population; Dynamics (music); Task (project management); Percept; Computational model; Process (computing); Homogeneous","score_opus":0.0379200924173909,"score_gpt":0.30063297771338654,"score_spread":0.2627128852959956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416197021","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7113934,0.000015579506,0.2812095,0.0005622535,0.0054441486,0.00018742507,0.000011285329,0.00003072549,0.0011456349],"genre_scores_gemma":[0.99583703,0.00015723352,0.0014654972,0.0017359331,0.00004975635,0.000001233414,0.0000012344956,0.000007637813,0.00074442336],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982296,0.00009984574,0.0005597949,0.00027259716,0.00054043334,0.00029773373],"domain_scores_gemma":[0.99888074,0.00022636956,0.00047083374,0.00017738718,0.0001670054,0.000077653145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023249317,0.00014162145,0.00018579273,0.000224731,0.00030639913,0.00016934429,0.00042716155,0.00005714935,0.0000046729106],"category_scores_gemma":[0.0022035977,0.0001127514,0.0001234736,0.00080214627,0.00009439153,0.0018498583,0.00008951642,0.000280369,0.0000051836787],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022176837,0.00025614756,0.0036001173,0.000028567498,0.0000012024224,0.00006420647,0.00008575171,0.0055869883,0.9682211,0.0077490923,0.0010046479,0.013180382],"study_design_scores_gemma":[0.0011131854,0.0004260344,0.12935708,0.00020904005,0.000020629153,0.00036969405,0.000041255782,0.83628756,0.021219436,0.005125388,0.005594407,0.00023626498],"about_ca_topic_score_codex":0.000009707584,"about_ca_topic_score_gemma":0.000011241899,"teacher_disagreement_score":0.9470017,"about_ca_system_score_codex":0.00021113311,"about_ca_system_score_gemma":0.000059218557,"threshold_uncertainty_score":0.45978686},"labels":[],"label_agreement":null},{"id":"W4416234866","doi":"10.1007/978-981-95-4381-6_5","title":"Excitatory-Inhibitory Dynamics in Adaptive Decision-Making","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Mila - Quebec Artificial Intelligence Institute","funders":"","keywords":"Feed forward; Scalability; Adaptation (eye); Mechanism (biology); Recurrent neural network; Dynamics (music); Artificial neural network; Computational model","score_opus":0.016172667525588113,"score_gpt":0.2539020614145667,"score_spread":0.23772939388897862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416234866","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002465388,0.00010387755,0.9790055,0.00022837051,0.0043151616,0.00047294464,0.000023766732,0.00008661357,0.013298334],"genre_scores_gemma":[0.9716862,0.00004738257,0.023933897,0.0031964942,0.00031588992,0.000010612971,0.0000028951804,0.00004431106,0.00076230563],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996424,0.0000511761,0.0005167664,0.0016174159,0.0008355369,0.0005550719],"domain_scores_gemma":[0.99649864,0.002451459,0.00022243244,0.00065034576,0.00009557648,0.0000815623],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00049804477,0.00045657606,0.00044689747,0.0013408746,0.00022563574,0.00019879839,0.0011504327,0.00032397214,0.000022870465],"category_scores_gemma":[0.00071897946,0.00043113602,0.00012372369,0.0008400494,0.00082159706,0.000317975,0.0007399871,0.0011275552,0.000022862701],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065853674,0.000038568214,0.00009255005,0.000032940672,0.000002294139,0.00034771414,0.00015443357,0.035468567,0.00079320447,0.04939374,0.000036956655,0.9135732],"study_design_scores_gemma":[0.00018290969,0.00011132305,0.000104287996,0.0012245695,0.0000039022934,0.000026594853,5.6286876e-7,0.7561614,0.00045781324,0.24104856,0.00024229975,0.00043578088],"about_ca_topic_score_codex":0.000012294966,"about_ca_topic_score_gemma":0.00058956095,"teacher_disagreement_score":0.9692208,"about_ca_system_score_codex":0.001248,"about_ca_system_score_gemma":0.00044629382,"threshold_uncertainty_score":0.99981403},"labels":[],"label_agreement":null},{"id":"W4416335736","doi":"10.1101/2025.11.18.689109","title":"CUSP: Complex Spike Sorting from Multi-electrode Array Recordings with U-net Sequence-to-Sequence Prediction","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute on Deafness and Other Communication Disorders; Natural Sciences and Engineering Research Council of Canada","keywords":"Spike sorting; Spike (software development); Pattern recognition (psychology); Spike train; Neural coding; Key (lock); Coding (social sciences); Hippocampal formation","score_opus":0.04838608188515337,"score_gpt":0.25692587617005747,"score_spread":0.2085397942849041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416335736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9581836,0.00003898168,0.03366542,0.00067594816,0.0023536691,0.0016368269,0.0022242693,0.0011636361,0.000057686888],"genre_scores_gemma":[0.98034805,0.00011132942,0.016747598,0.0017692961,0.00050460413,0.000330754,0.00000443313,0.00012805889,0.000055859316],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99457,0.00027258173,0.0008624343,0.0025938135,0.0007192354,0.0009819339],"domain_scores_gemma":[0.9967406,0.00022909167,0.0007673795,0.001448802,0.00041893887,0.00039523788],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004697461,0.0008720698,0.0007723213,0.00046238487,0.00052402326,0.0005348639,0.0010416112,0.00048226374,0.00005511773],"category_scores_gemma":[0.00089485326,0.00086241774,0.0001737295,0.0012920212,0.00020586415,0.00037655846,0.00047586134,0.0014516916,0.00007400049],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010575718,0.000107990694,0.005663595,0.00013408752,0.00004104181,0.000055880417,0.000016395175,0.0009848374,0.99238205,0.00031301053,0.00017783011,0.00001753821],"study_design_scores_gemma":[0.0008236825,0.00025783168,0.029816013,0.0011333366,0.00014697608,1.4620694e-7,0.0000042994684,0.0320323,0.930796,0.000025786205,0.0036412063,0.0013224091],"about_ca_topic_score_codex":0.00054309116,"about_ca_topic_score_gemma":0.000041627165,"teacher_disagreement_score":0.061586026,"about_ca_system_score_codex":0.00069856236,"about_ca_system_score_gemma":0.0006663678,"threshold_uncertainty_score":0.9993827},"labels":[],"label_agreement":null},{"id":"W4416379829","doi":"10.1016/j.cortex.2025.11.003","title":"Beta-band modulation reveals the cortical dynamics of auditory statistical learning in children","year":2025,"lang":"en","type":"article","venue":"Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Statistical learning; Electroencephalography; Dynamics (music); Syllable; Modulation (music); Statistical analysis; BETA (programming language); Auditory perception","score_opus":0.011990540642415086,"score_gpt":0.25897348031605955,"score_spread":0.24698293967364446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416379829","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905547,0.000007120816,0.0073339557,0.00040697763,0.00032107095,0.00019348369,0.000016068338,0.000022608667,0.0011440335],"genre_scores_gemma":[0.99902153,0.000012098072,0.000025755562,0.00018838151,0.000032349384,0.0000060470516,0.000017004964,0.000005801192,0.00069104094],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99909544,0.00016613948,0.00023348743,0.00021780649,0.00015333667,0.0001337978],"domain_scores_gemma":[0.99924725,0.0005001199,0.00007038023,0.00013885516,0.00002201771,0.000021371283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018701321,0.00007092242,0.00012208341,0.00006379409,0.0001005327,0.000019759886,0.0001137555,0.00003923153,0.00002468232],"category_scores_gemma":[0.0006424238,0.000053515283,0.000028628057,0.0002482656,0.00012767104,0.000050015722,0.00003699816,0.0002674008,0.0000061003984],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010979083,0.00018084174,0.5333697,0.000037389284,0.000014187549,0.000009821892,0.00006135703,0.0048300084,0.24140874,0.19265069,0.0008224191,0.026505042],"study_design_scores_gemma":[0.00016915414,0.000042131778,0.83843243,0.000014324667,0.0000092270575,0.000003356655,0.000008305001,0.15654622,0.00061939936,0.004070342,0.000037932292,0.000047157217],"about_ca_topic_score_codex":0.000016573109,"about_ca_topic_score_gemma":0.000022075137,"teacher_disagreement_score":0.3050627,"about_ca_system_score_codex":0.000048014193,"about_ca_system_score_gemma":0.00003189851,"threshold_uncertainty_score":0.218229},"labels":[],"label_agreement":null},{"id":"W4416386449","doi":"10.1038/s41597-025-06115-0","title":"Mouse Hippocampal Sharp-Wave Ripple Dataset Curated From Public Neuropixels Datasets","year":2025,"lang":"en","type":"article","venue":"Scientific Data","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"CIHR Skin Research Training Centre; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Hippocampal formation; Task (project management); Hippocampus; Field (mathematics); Raw data; Electrophysiology; Process (computing)","score_opus":0.14175337180313524,"score_gpt":0.3148659871587131,"score_spread":0.17311261535557787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416386449","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.121972755,0.000038052338,0.0010749672,0.0025108373,0.0062769405,0.00045314152,0.8669478,0.00021691751,0.0005085454],"genre_scores_gemma":[0.27746445,0.000021127784,0.0002409987,0.0031198775,0.000110538,0.000014413037,0.71462923,0.000027170125,0.004372225],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.995871,0.00025808456,0.00041630687,0.0022904107,0.00059362926,0.0005705833],"domain_scores_gemma":[0.9940535,0.00030681957,0.0001496211,0.0052409214,0.000052387626,0.00019675563],"candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00070268364,0.00025284523,0.00021748093,0.00030318025,0.00078832573,0.0021454857,0.0030244421,0.000072901974,0.00075764174],"category_scores_gemma":[0.0022384564,0.00022637555,0.00003593531,0.0016726526,0.00045885265,0.0021180888,0.0033544279,0.00031760678,0.00083019905],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017434673,0.000115732284,0.000039826868,0.000009150901,0.0000060120838,0.000035320303,0.0000068185705,0.0000038234493,0.26590136,0.0010017189,0.7275247,0.0053381356],"study_design_scores_gemma":[0.0004367311,0.000018617762,0.00026626803,0.000017103444,0.000025244626,0.000008068717,0.000016110629,0.048462983,0.027022947,0.0016454284,0.92181844,0.00026204018],"about_ca_topic_score_codex":0.00015926847,"about_ca_topic_score_gemma":0.0002586731,"teacher_disagreement_score":0.2388784,"about_ca_system_score_codex":0.000039812763,"about_ca_system_score_gemma":0.00019195517,"threshold_uncertainty_score":0.9999478},"labels":[],"label_agreement":null},{"id":"W4416412246","doi":"10.1016/j.neuron.2025.10.019","title":"Integrative analysis of single-neuron projectomes links connectome, transcriptome, and function in the mouse cortex","year":2025,"lang":"en","type":"article","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Science and Technology of the People's Republic of China; Chinese Academy of Sciences; National Natural Science Foundation of China; Canadian Anesthesiologists' Society","keywords":"Sensory system; Cortex (anatomy); Function (biology); Motor cortex; Neuron; Cerebral cortex; Nerve net; Transcriptome; Sensory cortex","score_opus":0.02441421678767138,"score_gpt":0.263348723060073,"score_spread":0.23893450627240162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416412246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959405,0.000035456174,0.00033165264,0.00073863426,0.00026846904,0.00040480393,0.000024894996,0.000042086594,0.002213522],"genre_scores_gemma":[0.99703723,0.00007883005,0.000004754067,0.0021938828,0.000011121151,0.000023969804,0.00001000665,0.000009592789,0.00063062314],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984727,0.0003400149,0.00030996097,0.00046616123,0.00022612105,0.0001850555],"domain_scores_gemma":[0.9990076,0.0005593743,0.00011175493,0.00025733816,0.000040794508,0.000023147339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000177157,0.00016876214,0.00028401992,0.0007081608,0.00008718714,0.00006468822,0.00018676113,0.00009272184,0.000012084099],"category_scores_gemma":[0.00033705996,0.00011425657,0.00010941231,0.00250553,0.0001361677,0.0001611301,0.000030399968,0.0003933407,0.0000011495798],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018689797,0.00018008366,0.00399377,0.000027464663,0.000025922554,0.0000068981913,0.0004315997,0.00011373026,0.98742,0.0029722254,0.0001079342,0.004533424],"study_design_scores_gemma":[0.0019173898,0.0023251497,0.76441324,0.000059511232,0.0009795193,0.000012054496,0.0009439166,0.056095485,0.16634649,0.0009750038,0.005484031,0.00044821383],"about_ca_topic_score_codex":0.00006477526,"about_ca_topic_score_gemma":0.00025293714,"teacher_disagreement_score":0.8210736,"about_ca_system_score_codex":0.00002384822,"about_ca_system_score_gemma":0.000021555172,"threshold_uncertainty_score":0.46592477},"labels":[],"label_agreement":null},{"id":"W4416425879","doi":"","title":"Noise-like fluctuations drive shifts in 1/ f α power-law dynamics associated with changes in brain states","year":2025,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Canada Research Chairs; University Health Network; Wilfrid Laurier University; University of Ottawa","funders":"","keywords":"Spectral density; Scaling; Nonlinear system; Dynamics (music); Noise (video); Feature (linguistics); Artificial neural network; Exponent; Nerve net; Scale (ratio)","score_opus":0.012906147874695767,"score_gpt":0.23237159624030726,"score_spread":0.2194654483656115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416425879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.908453,0.00009472942,0.009908771,0.04610164,0.00056291214,0.0014615576,0.00081959955,0.0003299595,0.032267816],"genre_scores_gemma":[0.98979133,0.0001802282,0.0009682914,0.0012335185,0.000006069946,0.00016089469,0.0011170416,0.000042342224,0.006500281],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99300075,0.004388082,0.0005250317,0.0011051523,0.00048780238,0.00049318036],"domain_scores_gemma":[0.99354887,0.0039615165,0.00047786292,0.001237569,0.0006604706,0.0001137221],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0026343497,0.00040211843,0.00045105242,0.00053952873,0.00027338837,0.00036358155,0.0009955503,0.00032034024,0.0000469279],"category_scores_gemma":[0.0031282692,0.00041380676,0.00009907283,0.0012287349,0.00031380923,0.00017573808,0.0009460231,0.0010227252,0.000008545039],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021180342,0.0048365765,0.022703156,0.0005288113,0.00015186371,0.00015535612,0.035838183,0.013948391,0.053045966,0.83930683,0.001231308,0.028041752],"study_design_scores_gemma":[0.0038367293,0.0000100246025,0.11157717,0.01072051,0.00008832916,0.000009661452,0.0006872873,0.7723478,0.0454961,0.04955704,0.0032913273,0.002378011],"about_ca_topic_score_codex":0.0022642456,"about_ca_topic_score_gemma":0.19735502,"teacher_disagreement_score":0.7897498,"about_ca_system_score_codex":0.0005649276,"about_ca_system_score_gemma":0.0002842821,"threshold_uncertainty_score":0.9998314},"labels":[],"label_agreement":null},{"id":"W4416453965","doi":"10.48550/arxiv.2505.17003","title":"Sufficient conditions for offline reactivation in recurrent neural networks","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies; Institut de Valorisation des Données; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research; Nvidia","keywords":"ENCODE; Recurrent neural network; Task (project management); Artificial neural network; Position (finance); State (computer science); Noise reduction; Noise (video); Biological neural network","score_opus":0.07574042733601051,"score_gpt":0.3208870927702198,"score_spread":0.24514666543420932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416453965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9876068,0.000028509989,0.0038907076,0.0019048243,0.0046123434,0.0012242673,0.00023550433,0.00010539712,0.000391622],"genre_scores_gemma":[0.99687,0.00008308917,0.000026971256,0.0011012603,0.0002673015,0.00033627043,0.00049978576,0.000019341289,0.0007960004],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99809843,0.00011806163,0.0004653259,0.00080840156,0.00017209904,0.0003376959],"domain_scores_gemma":[0.99867314,0.0005047897,0.00026259248,0.0004136595,0.00008824126,0.000057559148],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021006848,0.00025846227,0.00028163232,0.0002470093,0.00015635436,0.000056849436,0.00027874316,0.00022294708,0.00001744323],"category_scores_gemma":[0.0006787286,0.0002562903,0.00016124935,0.0003726979,0.00006124842,0.00010022433,0.00030193466,0.00074509403,0.000005899821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007622684,0.0025014542,0.1238325,0.0008018743,0.000049445727,0.000052086703,0.00045458798,0.68607897,0.13962272,0.019554071,0.008744407,0.017545644],"study_design_scores_gemma":[0.00060028717,0.00013885419,0.08545664,0.00022805877,0.000031857617,0.0000031639854,0.000019091782,0.90573627,0.0043052267,0.0011088509,0.0019998872,0.00037183493],"about_ca_topic_score_codex":0.000041418538,"about_ca_topic_score_gemma":0.000060292165,"teacher_disagreement_score":0.2196573,"about_ca_system_score_codex":0.00017687921,"about_ca_system_score_gemma":0.0000739505,"threshold_uncertainty_score":0.9999889},"labels":[],"label_agreement":null},{"id":"W4416507626","doi":"10.32470/041ic3vk","title":"Traveling Waves Integrate Spatial Information Through Time","year":2025,"lang":"","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Encoding (memory); ENCODE; Artificial neural network; Representation (politics); Convolutional neural network; Field (mathematics); Receptive field; Function (biology); Segmentation","score_opus":0.01215076721173716,"score_gpt":0.24390451053780446,"score_spread":0.2317537433260673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416507626","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22925758,0.000046766236,0.44994304,0.006508035,0.007865009,0.0011182183,0.000076753655,0.00028853468,0.30489606],"genre_scores_gemma":[0.9679201,0.00022382004,0.00029771612,0.0072884383,0.0001071383,0.000007186578,0.000026561058,0.00001047814,0.024118565],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99809486,0.000118256394,0.0006867052,0.00038909135,0.0003045703,0.00040649384],"domain_scores_gemma":[0.99899536,0.0003204497,0.00019289166,0.0003137627,0.00012103476,0.000056467932],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00022550306,0.0002916584,0.00025658656,0.00014265535,0.00041709916,0.00053441705,0.00029846386,0.00016778208,0.0009826228],"category_scores_gemma":[0.0006907567,0.00024700133,0.00014731532,0.00073932676,0.0001391983,0.0018649123,0.00014884726,0.0003705821,0.0012277365],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034780175,0.00018817431,0.00006502503,0.0002241313,0.000040435752,0.000008207035,0.0016810538,0.0010991031,0.48135015,0.07546682,0.0067560677,0.43277302],"study_design_scores_gemma":[0.00065398583,0.0002113953,0.0006575687,0.00015577817,0.000044572138,0.000006468987,0.00027023786,0.7402628,0.21933684,0.005535161,0.03251148,0.0003537108],"about_ca_topic_score_codex":0.0005106255,"about_ca_topic_score_gemma":0.000041070045,"teacher_disagreement_score":0.7391637,"about_ca_system_score_codex":0.00009536544,"about_ca_system_score_gemma":0.00015983684,"threshold_uncertainty_score":0.9999982},"labels":[],"label_agreement":null},{"id":"W4416605035","doi":"10.5256/f1000research.1159.r766","title":"Referee report. For: Moving beyond Type I and Type II neuron types [v1; indexed, http://f1000r.es/w7]","year":2013,"lang":"en","type":"article","venue":"Faculty of 1000 Research Ltd","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Type (biology); Neuron; Feature (linguistics); Sequence (biology)","score_opus":0.06988538921825861,"score_gpt":0.3511666994881751,"score_spread":0.2812813102699165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416605035","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878027,0.0000597552,0.000021634945,0.0056469017,0.00033756293,0.0006739273,0.00006247993,0.000058311576,0.005336771],"genre_scores_gemma":[0.9537674,0.00010649261,0.00022243419,0.00020940618,0.00011310184,0.000030716907,0.000085890075,0.000036564114,0.045427974],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974915,0.00017798545,0.0003413766,0.0006188809,0.0008255899,0.0005446951],"domain_scores_gemma":[0.9975686,0.00047049415,0.00013205173,0.00046614706,0.0011848236,0.00017787555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083316915,0.00017099424,0.00023947039,0.0002182337,0.00046541877,0.00012767423,0.0003509714,0.0001342735,0.00021035022],"category_scores_gemma":[0.004506587,0.00014049186,0.000052006828,0.00069952954,0.00027451804,0.00033263024,0.0004156118,0.00045380933,0.00013251486],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021192715,0.00010827719,0.0016893891,0.000114194525,0.0000123555665,0.00003827988,0.00014450532,0.000027410013,0.93991363,0.0050538275,0.041166984,0.011519232],"study_design_scores_gemma":[0.002222727,0.0066144736,0.06364153,0.00023978284,0.0000455406,0.0003610204,0.0003447695,0.02033032,0.19674712,0.018421615,0.68989384,0.0011372364],"about_ca_topic_score_codex":0.00031031805,"about_ca_topic_score_gemma":0.000056890673,"teacher_disagreement_score":0.7431665,"about_ca_system_score_codex":0.00005571601,"about_ca_system_score_gemma":0.00013055836,"threshold_uncertainty_score":0.5729092},"labels":[],"label_agreement":null},{"id":"W4416616451","doi":"10.5256/f1000research.1159.r726","title":"Referee report. For: Moving beyond Type I and Type II neuron types [v1; indexed, http://f1000r.es/w7]","year":2013,"lang":"en","type":"article","venue":"Faculty of 1000 Research Ltd","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Type (biology); Neuron; Feature (linguistics); Sequence (biology)","score_opus":0.06988538921825861,"score_gpt":0.3511666994881751,"score_spread":0.2812813102699165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416616451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878027,0.0000597552,0.000021634945,0.0056469017,0.00033756293,0.0006739273,0.00006247993,0.000058311576,0.005336771],"genre_scores_gemma":[0.9537674,0.00010649261,0.00022243419,0.00020940618,0.00011310184,0.000030716907,0.000085890075,0.000036564114,0.045427974],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974915,0.00017798545,0.0003413766,0.0006188809,0.0008255899,0.0005446951],"domain_scores_gemma":[0.9975686,0.00047049415,0.00013205173,0.00046614706,0.0011848236,0.00017787555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083316915,0.00017099424,0.00023947039,0.0002182337,0.00046541877,0.00012767423,0.0003509714,0.0001342735,0.00021035022],"category_scores_gemma":[0.004506587,0.00014049186,0.000052006828,0.00069952954,0.00027451804,0.00033263024,0.0004156118,0.00045380933,0.00013251486],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021192715,0.00010827719,0.0016893891,0.000114194525,0.0000123555665,0.00003827988,0.00014450532,0.000027410013,0.93991363,0.0050538275,0.041166984,0.011519232],"study_design_scores_gemma":[0.002222727,0.0066144736,0.06364153,0.00023978284,0.0000455406,0.0003610204,0.0003447695,0.02033032,0.19674712,0.018421615,0.68989384,0.0011372364],"about_ca_topic_score_codex":0.00031031805,"about_ca_topic_score_gemma":0.000056890673,"teacher_disagreement_score":0.7431665,"about_ca_system_score_codex":0.00005571601,"about_ca_system_score_gemma":0.00013055836,"threshold_uncertainty_score":0.5729092},"labels":[],"label_agreement":null},{"id":"W4416664128","doi":"10.1523/jneurosci.0848-25.2025","title":"Optimal Inhibitory-to-Excitatory Ratio Governs Slow and Fast Oscillations for Enhanced Neural Communication","year":2025,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Korea Institute of Science and Technology; Ministry of Higher Education and Scientific Research","keywords":"Artificial neural network; Information transmission; Neural activity; Transmission (telecommunications); Mirroring; Range (aeronautics); Balance (ability); Oscillation (cell signaling)","score_opus":0.02469253543619777,"score_gpt":0.28822645981109346,"score_spread":0.2635339243748957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416664128","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94180125,0.000023568718,0.052414104,0.0037005937,0.001374652,0.0002997004,0.000016768023,0.000018738576,0.0003506468],"genre_scores_gemma":[0.99475527,0.00005757572,0.0009811752,0.0032345515,0.0000610954,0.0000093137805,3.3433096e-7,0.000008397422,0.00089229655],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987096,0.000106589185,0.00039285107,0.00027735252,0.00030623664,0.00020733304],"domain_scores_gemma":[0.99875265,0.0004651115,0.00028911003,0.00021365561,0.00016085459,0.00011858963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031556824,0.000119616285,0.00016712016,0.00022556169,0.00045995586,0.0001903035,0.00038031137,0.00003641734,0.0000014573479],"category_scores_gemma":[0.0017477585,0.00010564823,0.00007600234,0.0005675541,0.00019311014,0.0006226823,0.00011919434,0.00020892273,0.0000010579607],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006176918,0.000042502354,0.0000847194,0.000009198933,6.6784116e-7,0.0000020352788,0.00010495799,0.0053204214,0.99002266,0.0018104867,0.000619649,0.0019209244],"study_design_scores_gemma":[0.002445332,0.0021868413,0.07661432,0.00022344536,0.000060831466,0.00024199301,0.00028547138,0.30739552,0.57968515,0.002068905,0.028191378,0.00060079724],"about_ca_topic_score_codex":0.0000015894592,"about_ca_topic_score_gemma":0.0000036115337,"teacher_disagreement_score":0.41033748,"about_ca_system_score_codex":0.00005637485,"about_ca_system_score_gemma":0.00009943084,"threshold_uncertainty_score":0.43082097},"labels":[],"label_agreement":null},{"id":"W4416932258","doi":"10.20944/preprints202511.2284.v1","title":"Beta Oscillations as a Mechanistic Target for Predictive Processing Deficits in Psychosis","year":2025,"lang":"","type":"preprint","venue":"Preprints.org","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fonds de Recherche du Québec - Santé; Mitacs","keywords":"Predictive coding; Magnetoencephalography; BETA (programming language); Neurophysiology; Computational model; Mechanism (biology); Schizophrenia (object-oriented programming)","score_opus":0.1076259551034602,"score_gpt":0.3593131438222355,"score_spread":0.2516871887187753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416932258","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89247084,0.00017860383,0.0614884,0.0027107883,0.006242992,0.010260625,0.001412532,0.00041677634,0.024818445],"genre_scores_gemma":[0.98918235,0.00036974426,0.00089936535,0.000623455,0.0002148016,0.0025167188,0.00010336219,0.000090228365,0.0059999884],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99172795,0.0004830723,0.0017118749,0.004062127,0.0008521297,0.0011628265],"domain_scores_gemma":[0.99552673,0.00095412467,0.0010532832,0.0015812393,0.00058726757,0.0002973768],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00137993,0.0010176088,0.0010979371,0.0009786513,0.0009205262,0.00020310067,0.0014166946,0.000693297,0.00044037338],"category_scores_gemma":[0.0035617626,0.0011603376,0.0005535723,0.0015714581,0.00025782222,0.00043360805,0.0019800258,0.001715377,0.00034897708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005124984,0.005507189,0.34850928,0.009045565,0.0004574677,0.00009463965,0.006588492,0.19547538,0.3549899,0.057005044,0.00015863168,0.017043427],"study_design_scores_gemma":[0.0030691838,0.0006779116,0.103573464,0.004130639,0.0005820847,0.000046214613,0.00037224076,0.6368424,0.094836935,0.14521277,0.00817726,0.0024788617],"about_ca_topic_score_codex":0.00023421505,"about_ca_topic_score_gemma":0.000101733465,"teacher_disagreement_score":0.44136706,"about_ca_system_score_codex":0.0007203138,"about_ca_system_score_gemma":0.0009938878,"threshold_uncertainty_score":0.99908465},"labels":[],"label_agreement":null},{"id":"W4416959343","doi":"10.48550/arxiv.2512.01199","title":"Know Thyself by Knowing Others: Learning Neuron Identity from Population Context","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Advanced Research; National Institutes of Health; National Science Foundation","keywords":"Decoding methods; Identity (music); Context (archaeology); Population; Representation (politics); Generalization; Neuron; Neural coding","score_opus":0.042240210572214734,"score_gpt":0.2851014597126362,"score_spread":0.24286124914042145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416959343","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99237597,0.000267947,0.0012391538,0.0005294637,0.0035446973,0.00040876892,0.00010738885,0.00032049423,0.0012061355],"genre_scores_gemma":[0.9915872,0.00026303905,0.000020394315,0.0012995945,0.00026552237,0.000029244702,0.00022014986,0.000042802967,0.0062720054],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973244,0.00040153618,0.00043171502,0.0011507291,0.00035735616,0.00033426486],"domain_scores_gemma":[0.99863166,0.00036381427,0.00035951572,0.00051371334,0.000050304054,0.00008097387],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019774085,0.00036082056,0.00037439654,0.00013241493,0.00034885376,0.00026448877,0.00050624355,0.0002886215,0.00012015879],"category_scores_gemma":[0.0008122432,0.0003778399,0.00020938847,0.0002453037,0.00005277042,0.00048859976,0.0006784092,0.001225543,0.00016557217],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009283446,0.00017665875,0.5375353,0.00016182975,0.00004877301,0.000029245908,0.0004476534,0.0034347991,0.42667475,0.0008026555,0.0017731005,0.028822422],"study_design_scores_gemma":[0.0019399835,0.00031009925,0.7785719,0.0015948223,0.00034305212,0.0000070268165,0.0003566131,0.076782934,0.062503174,0.00898006,0.06603855,0.002571788],"about_ca_topic_score_codex":0.0025782692,"about_ca_topic_score_gemma":0.00021298477,"teacher_disagreement_score":0.36417156,"about_ca_system_score_codex":0.00014608256,"about_ca_system_score_gemma":0.000043077966,"threshold_uncertainty_score":0.9998674},"labels":[],"label_agreement":null},{"id":"W4416971858","doi":"10.1016/j.isci.2025.114313","title":"Deriving connectivity from spiking activity in detailed models of large-scale cortical microcircuits","year":2025,"lang":"en","type":"article","venue":"iScience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada; Krembil Foundation; University of Toronto; IAMGOLD; Innovation, Science and Economic Development Canada","keywords":"Key (lock); Spike (software development); Layer (electronics); Nerve net; Cortical neurons; Neuronal firing; Premovement neuronal activity","score_opus":0.029160075643069588,"score_gpt":0.27579565195829586,"score_spread":0.24663557631522628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416971858","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95322627,0.000031293028,0.044712715,0.00018486951,0.00032106412,0.00015229307,0.00001814009,0.000032095202,0.0013212512],"genre_scores_gemma":[0.9994256,0.000012562492,0.00014814711,0.00032489005,0.000009841325,0.0000071862682,3.3901674e-7,0.0000047416092,0.00006667872],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985718,0.00014055334,0.00019611174,0.0005368126,0.00023688829,0.00031781456],"domain_scores_gemma":[0.99895954,0.0006465562,0.000085865984,0.00023431843,0.000028371831,0.000045324334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003552781,0.00010730131,0.0001996251,0.00012256695,0.00016881351,0.000046240566,0.00029324758,0.00005777624,0.000012742553],"category_scores_gemma":[0.00061433204,0.00010154726,0.000051524064,0.0007772525,0.00018017861,0.0004708273,0.00018074484,0.00021980639,0.0000034557058],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016461083,0.00011674079,0.014890021,0.000008890889,6.797354e-7,0.0000050086715,0.00016468432,0.0006936182,0.97764444,0.0030390623,0.0000033154267,0.0034170921],"study_design_scores_gemma":[0.00025405394,0.000021007814,0.12998532,0.000055556437,0.00000382716,0.000001333139,0.000044160497,0.3190222,0.5433013,0.007199908,0.000014499852,0.00009684605],"about_ca_topic_score_codex":0.00013510886,"about_ca_topic_score_gemma":0.0007383063,"teacher_disagreement_score":0.43434316,"about_ca_system_score_codex":0.00006686095,"about_ca_system_score_gemma":0.000081104066,"threshold_uncertainty_score":0.4140977},"labels":[],"label_agreement":null},{"id":"W4416999818","doi":"10.1016/j.brainresbull.2025.111672","title":"The pulvinar nucleus and its role in cognitive functions","year":2025,"lang":"en","type":"review","venue":"Brain Research Bulletin","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Cognition; Sensory system; Perception; Autism; Control reconfiguration; Perspective (graphical); Multisensory integration; Thalamus","score_opus":0.12204748919195287,"score_gpt":0.4058095922831606,"score_spread":0.28376210309120775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416999818","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00005399044,0.9743737,0.0000026782525,0.0065358677,0.00032595216,0.0019919225,0.00013218055,0.00004653332,0.016537165],"genre_scores_gemma":[0.0001485018,0.92389166,0.0000017886099,0.00029280307,0.00009652575,0.00057494716,0.000018665112,0.000035032223,0.07494006],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99491173,0.0023971011,0.00042722386,0.00088935724,0.0006176006,0.0007569718],"domain_scores_gemma":[0.981001,0.018314084,0.00010324118,0.0003208026,0.00013244951,0.00012840008],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0023590005,0.00029061156,0.0005522034,0.00053040544,0.0009578896,0.00036166376,0.0005417942,0.00023247667,0.00015624912],"category_scores_gemma":[0.01845135,0.00019835087,0.00016371014,0.0013773717,0.0003229195,0.00004355414,0.00067492836,0.0017038943,0.0005809743],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038558108,0.000070395705,6.252794e-7,0.0018136272,0.000010872497,0.00007498439,0.000022518618,2.5203428e-7,0.00004669031,0.004145,0.04846193,0.9453145],"study_design_scores_gemma":[0.0001796612,0.00011469935,0.0000067490564,0.0044740303,0.000017949778,0.00003216377,0.00008860685,0.00006231722,0.0000051323373,0.0005020557,0.99434096,0.00017566656],"about_ca_topic_score_codex":0.000039523795,"about_ca_topic_score_gemma":0.000054426117,"teacher_disagreement_score":0.94587904,"about_ca_system_score_codex":0.00013093102,"about_ca_system_score_gemma":0.0003226651,"threshold_uncertainty_score":0.98981667},"labels":[],"label_agreement":null},{"id":"W4417151818","doi":"10.1007/s11571-025-10391-2","title":"Short-term and long-term test-retest reliability of memory, complexity, and randomness of EEG microstates sequence","year":2025,"lang":"en","type":"article","venue":"Cognitive Neurodynamics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Randomness; Reliability (semiconductor); Sequence (biology); Random sequence; Electroencephalography; Pattern recognition (psychology)","score_opus":0.035737151370701416,"score_gpt":0.3010500224192051,"score_spread":0.26531287104850365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417151818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972435,0.000048635473,0.0005404262,0.00020372651,0.0002607964,0.00067582435,0.0006240004,0.00004061414,0.0003624608],"genre_scores_gemma":[0.9991025,0.00035673898,0.000038085836,0.00032950036,0.000008259889,0.000013803371,0.000029761302,0.000019273048,0.0001021176],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99820524,0.00017795936,0.00047488348,0.0006883502,0.00019954107,0.00025401477],"domain_scores_gemma":[0.99659646,0.0025833824,0.00018858256,0.0002582002,0.00027873178,0.00009466833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002156318,0.00025376637,0.0004496802,0.00015299278,0.00016008008,0.000052410323,0.00018756349,0.00008041678,0.000004498487],"category_scores_gemma":[0.0031484177,0.00023842587,0.00007424751,0.00038086183,0.0016923776,0.00020051921,0.00032241864,0.00024265802,6.5706763e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002639442,0.00015128832,0.3465008,0.00043345042,0.0000058536293,0.000022338643,0.000051779425,0.0000062990093,0.6456665,0.0004165527,0.0000028273048,0.006478345],"study_design_scores_gemma":[0.0015513385,0.00029475073,0.8964602,0.00026874212,0.00008525959,0.000052753854,0.00002446957,0.008819508,0.09042458,0.0017920729,0.0000013084639,0.00022504298],"about_ca_topic_score_codex":0.000014131977,"about_ca_topic_score_gemma":0.000034740042,"teacher_disagreement_score":0.55524194,"about_ca_system_score_codex":0.00002195257,"about_ca_system_score_gemma":0.00005722589,"threshold_uncertainty_score":0.97227246},"labels":[],"label_agreement":null},{"id":"W4417221426","doi":"10.1103/wvbd-j5rw","title":"Kubo-Martin-Schwinger states of path-structured flow in directed brain synaptic networks","year":2025,"lang":"en","type":"article","venue":"Physical review. E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Institut Universitaire de Gériatrie de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Embedding; Quantum; Algebraic number; Entropy (arrow of time); Centrality; Stochastic process; Graph; Flow (mathematics)","score_opus":0.010491007452910057,"score_gpt":0.28890624126729497,"score_spread":0.27841523381438493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417221426","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99113196,0.0024280502,0.000911829,0.0032921361,0.00051824417,0.00070600485,0.000017810311,0.00011461924,0.00087935664],"genre_scores_gemma":[0.99475795,0.0018431727,0.000051428364,0.0031239183,0.000052276173,0.000030044186,0.000011325449,0.000012370759,0.00011752133],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986158,0.00023729079,0.00035098862,0.00036484748,0.00017756346,0.00025349305],"domain_scores_gemma":[0.9988711,0.0006617314,0.00012010365,0.0002636025,0.000036517267,0.000046977362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017183663,0.00015793333,0.00043564476,0.000055055047,0.00004155119,0.000017653556,0.00017148681,0.000031841366,0.00002160084],"category_scores_gemma":[0.0013565196,0.00012385912,0.00013631454,0.00086828135,0.00007337543,0.00008683691,0.00008251579,0.0002379654,0.0000098584505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013821542,0.000541849,0.0017652415,0.0020525444,0.000036319165,0.000038114824,0.00012244387,0.0060402215,0.8076106,0.01763347,0.010119505,0.15390152],"study_design_scores_gemma":[0.0004393423,0.00011788284,0.0072866995,0.001983549,0.000051592713,0.0000022503198,0.0000035599471,0.9490475,0.016478553,0.01959694,0.0047081704,0.0002839565],"about_ca_topic_score_codex":0.000011945167,"about_ca_topic_score_gemma":0.000009693092,"teacher_disagreement_score":0.9430073,"about_ca_system_score_codex":0.000029762758,"about_ca_system_score_gemma":0.000021707248,"threshold_uncertainty_score":0.50508285},"labels":[],"label_agreement":null},{"id":"W4417301569","doi":"10.64898/2025.12.10.693436","title":"Functional implications of compartment-specific homeostatic regulation and the feasibility of independent local feedback signals","year":2025,"lang":"","type":"article","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Negative feedback; Homeostatic plasticity; Positive feedback; Calcium; Homeostasis; Feedback regulation; Compensation (psychology); Calcium signaling; Control theory (sociology)","score_opus":0.0312871945633423,"score_gpt":0.2462790062905655,"score_spread":0.2149918117272232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417301569","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96579105,0.0008473023,0.029298525,0.0015579588,0.00078013254,0.0014280548,0.00023858233,0.000038210666,0.000020167328],"genre_scores_gemma":[0.99916816,0.0003323396,0.00012541194,0.00023530317,0.000045448967,0.000051023955,3.2400848e-7,0.000023738683,0.000018247043],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9967841,0.0005035034,0.0010469134,0.0008201702,0.0005039861,0.00034133313],"domain_scores_gemma":[0.99671954,0.0008533814,0.00073329086,0.000939575,0.0006328815,0.0001213379],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011110008,0.00032568714,0.00056186283,0.00025701048,0.00040051626,0.00011012311,0.00032175943,0.00015960679,0.00009480437],"category_scores_gemma":[0.0002800743,0.00027654905,0.00015970945,0.0015146503,0.0015881477,0.00026176867,0.00018977799,0.00029629146,0.000009114639],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053757906,0.00037984469,0.012986398,0.00023757496,0.000057950336,7.038658e-7,0.000012330776,0.00058021507,0.9159253,0.06905484,0.00020500938,0.000022239847],"study_design_scores_gemma":[0.0020304082,0.0001069333,0.7104028,0.00012847224,0.00010105937,2.9851183e-8,0.000014065902,0.0052533117,0.2814824,0.0001432531,0.0001574491,0.00017983846],"about_ca_topic_score_codex":0.00001888502,"about_ca_topic_score_gemma":0.00000330868,"teacher_disagreement_score":0.69741637,"about_ca_system_score_codex":0.00020789694,"about_ca_system_score_gemma":0.00031308722,"threshold_uncertainty_score":0.99996865},"labels":[],"label_agreement":null},{"id":"W4417311603","doi":"10.1007/s11135-025-02520-0","title":"Estimating neural network entropy from recorded spiking activity via Markov chains","year":2025,"lang":"en","type":"article","venue":"Quality & Quantity","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"College of Family Physicians of Canada","funders":"","keywords":"Artificial neural network; Entropy (arrow of time); Markov chain; Nonlinear system; Computation; Sample entropy; Cognition; Consciousness","score_opus":0.05080533298648274,"score_gpt":0.333652931372402,"score_spread":0.2828475983859192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417311603","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92287606,0.000016357088,0.07072557,0.0011172137,0.003949225,0.00028771756,0.000037882877,0.00026179678,0.0007281983],"genre_scores_gemma":[0.99465054,0.0000085756965,0.0025099588,0.0020138666,0.00040588557,0.000013112073,0.000014044905,0.000017686763,0.0003663004],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970122,0.00085561635,0.0004659993,0.0007959901,0.00035115867,0.0005190345],"domain_scores_gemma":[0.9978236,0.0011764531,0.0003066888,0.000554413,0.000046623056,0.00009224235],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00082413753,0.00025548702,0.00039348268,0.00007064087,0.0006169406,0.00019568141,0.00034496744,0.00012121349,0.000090681715],"category_scores_gemma":[0.0015008543,0.0002534503,0.00018000275,0.00061331404,0.00011792168,0.00037371842,0.00023179899,0.0004790956,0.000032194424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053183106,0.0003480472,0.070397936,0.00012598177,0.000033929406,0.000029363257,0.00010464086,0.005923661,0.78910977,0.031829424,0.0010000186,0.10056539],"study_design_scores_gemma":[0.00046876527,0.000064912856,0.13720378,0.000065871194,0.000026670026,0.0000021698859,0.000010046889,0.83594424,0.013499137,0.011904995,0.00046732457,0.0003420969],"about_ca_topic_score_codex":0.0030875893,"about_ca_topic_score_gemma":0.0008485119,"teacher_disagreement_score":0.83002055,"about_ca_system_score_codex":0.0001150183,"about_ca_system_score_gemma":0.000047357757,"threshold_uncertainty_score":0.9999918},"labels":[],"label_agreement":null},{"id":"W4417331620","doi":"10.7554/elife.107099.2","title":"Local Inhibitory Dynamics Underpin Temporal Integration and Functional Segregation between Barrels and Septa in the Mouse Barrel Cortex","year":2025,"lang":"","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"European Research Council; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Barrel cortex; Somatosensory system; Inhibitory postsynaptic potential; Neocortex; Excitatory postsynaptic potential; Calcium imaging; Stimulus (psychology); Electrophysiology; Sensory system","score_opus":0.019899027299040167,"score_gpt":0.25219429974972923,"score_spread":0.23229527245068907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417331620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9511926,0.00033422827,0.04164783,0.0044564526,0.0010846263,0.0007331596,0.00009556307,0.00004444227,0.0004110531],"genre_scores_gemma":[0.9955514,0.00034245418,0.00003696008,0.0023178903,0.00015471503,0.000022588833,0.00015771583,0.00002191857,0.0013943274],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970986,0.0005076823,0.0006513797,0.00080866937,0.00057976623,0.00035387653],"domain_scores_gemma":[0.9986336,0.00064798177,0.00020182153,0.0003068975,0.00009838904,0.00011131655],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008620987,0.00035745176,0.00031560028,0.0003377551,0.0005401926,0.0003634351,0.00014872116,0.00028777917,0.000015898373],"category_scores_gemma":[0.00033750734,0.00029482227,0.00007507556,0.00078431674,0.00057472667,0.00055236026,0.00016955576,0.00081014493,0.000009197855],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013924309,0.0010654589,0.3328863,0.00076819374,0.00017689454,0.00011588351,0.0044854702,0.0028943222,0.10055031,0.20326199,0.013363501,0.33903924],"study_design_scores_gemma":[0.0017277302,0.0003544963,0.4926491,0.0002383858,0.00009580792,0.00003272573,0.0022218826,0.49297866,0.004684452,0.0035781162,0.0009474575,0.00049114844],"about_ca_topic_score_codex":0.00021193767,"about_ca_topic_score_gemma":0.001109712,"teacher_disagreement_score":0.49008435,"about_ca_system_score_codex":0.00027077046,"about_ca_system_score_gemma":0.00021139716,"threshold_uncertainty_score":0.9999504},"labels":[],"label_agreement":null},{"id":"W44271800","doi":"10.2991/978-94-6239-030-0_9","title":"Integrating CogPrime with a Compositional Spatiotemporal Deep Learning Network","year":2014,"lang":"en","type":"book-chapter","venue":"Atlantis thinking machines","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pyrogenesis (Canada)","funders":"","keywords":"Computer science; Perception; Action (physics); Artificial intelligence; Psychology; Neuroscience","score_opus":0.011897476300850397,"score_gpt":0.2192725881156118,"score_spread":0.2073751118147614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W44271800","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036977403,0.00040244122,0.072218925,0.0010675612,0.0040100887,0.0012189691,0.000046903813,0.0015438063,0.8825139],"genre_scores_gemma":[0.760635,0.00013473947,0.0046343766,0.0024561798,0.0025479365,0.000013129071,0.0007772567,0.00028572706,0.22851565],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977688,0.00011880318,0.00039518403,0.00072915386,0.0006295951,0.00035846714],"domain_scores_gemma":[0.998584,0.00051624805,0.00048730435,0.0002566328,0.000074599426,0.00008122516],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002834148,0.0005139858,0.00049707043,0.00012330282,0.00078992517,0.00027589852,0.00034878464,0.00023765597,0.00012668091],"category_scores_gemma":[0.00006888696,0.00039630206,0.00015461851,0.00007411136,0.00015456737,0.00011712789,0.00016710817,0.0011768198,0.00009063426],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017647714,0.000020405041,0.0037066424,0.000088478286,0.00007170893,0.00023655714,0.0001912622,0.01060869,0.0045591756,0.9585827,0.00080920244,0.02094872],"study_design_scores_gemma":[0.0023590277,0.0024125436,0.0031572483,0.0045830985,0.0004961762,0.0025997572,0.000010270697,0.4927924,0.0011510769,0.21048409,0.27522892,0.004725402],"about_ca_topic_score_codex":0.000115962765,"about_ca_topic_score_gemma":0.00019093783,"teacher_disagreement_score":0.7480986,"about_ca_system_score_codex":0.000050415645,"about_ca_system_score_gemma":0.000032459568,"threshold_uncertainty_score":0.9998489},"labels":[],"label_agreement":null},{"id":"W51995675","doi":"10.1016/b978-0-08-045396-5.00163-9","title":"Rewarding Brain Stimulation","year":2010,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Brain stimulation reward; Stimulation; Neuroscience; Brain stimulation; Neuroanatomy; Psychology; Dopamine; Deep brain stimulation; Electrical brain stimulation; Reward system; Medicine; Nucleus accumbens; Internal medicine","score_opus":0.02728542877972216,"score_gpt":0.2555131458107685,"score_spread":0.22822771703104636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W51995675","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008907534,0.000020845328,0.000026175983,0.00031960176,0.0016581458,0.0004613141,0.000027864813,0.00016189762,0.9964334],"genre_scores_gemma":[0.012612909,0.00001389264,0.00012580414,0.0020751571,0.00057743804,0.00001175676,0.000016806944,0.00009981817,0.98446643],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983114,0.000033070457,0.00034102477,0.00065896136,0.00039431948,0.00026122993],"domain_scores_gemma":[0.9988169,0.00028567784,0.0002583449,0.00048817022,0.000045421166,0.000105481864],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020047683,0.00034487204,0.00031330495,0.00017166148,0.00023898498,0.000100926605,0.00024831336,0.0004107128,0.00029948427],"category_scores_gemma":[0.00021310327,0.000323571,0.00020840942,0.000015861253,0.0001275498,0.00007555964,0.000120345176,0.000887996,0.00039749607],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013177155,0.000003215923,0.0000011735018,0.00002348768,0.0000048531724,0.00002837127,0.0000300401,0.0000049127984,0.13298047,0.021875167,0.00009641754,0.8449387],"study_design_scores_gemma":[0.00016864877,0.000056615532,0.000010845616,0.000101711514,0.000025734413,0.00003396535,4.4085516e-7,0.0003247525,0.005066957,0.043477993,0.95036423,0.0003681273],"about_ca_topic_score_codex":2.1614898e-7,"about_ca_topic_score_gemma":0.000008981694,"teacher_disagreement_score":0.9502678,"about_ca_system_score_codex":0.00005792177,"about_ca_system_score_gemma":0.00004771851,"threshold_uncertainty_score":0.9999216},"labels":[],"label_agreement":null},{"id":"W601437448","doi":"10.1016/j.neuroimage.2015.05.095","title":"Beta oscillations and reward processing: Coupling oscillatory activity and hemodynamic responses","year":2015,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":76,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Electroencephalography; Psychology; Neuroscience; Reward system; EEG-fMRI; Brain activity and meditation; Beta Rhythm; Cognitive psychology","score_opus":0.06525258609529726,"score_gpt":0.29186563603986065,"score_spread":0.22661304994456338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W601437448","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968111,0.00006364483,0.0002916033,0.0011282667,0.00022529336,0.00018640082,0.00001979013,0.00014359668,0.0011303008],"genre_scores_gemma":[0.99872375,0.000048851467,0.000107922635,0.00039680296,0.000047981015,0.0000085007505,9.467016e-7,0.000025074969,0.00064015604],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987513,0.00008531512,0.00013522607,0.0005475069,0.0002556007,0.00022507181],"domain_scores_gemma":[0.9992458,0.00023172036,0.0000882967,0.00020751255,0.000048782946,0.00017788184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022984299,0.00015703404,0.00015271612,0.00011422181,0.00029003728,0.00018244846,0.000087149296,0.00004533503,0.0000028611903],"category_scores_gemma":[0.00063912134,0.00014686957,0.00002316978,0.00023008887,0.00022619647,0.00044510385,0.0001327236,0.00020159935,0.0000070650303],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016559436,0.000042320353,0.0050148927,0.000037094098,0.0000012453622,0.000049542487,0.00013125972,0.00014258423,0.98770106,0.00038820086,0.00017229735,0.006153933],"study_design_scores_gemma":[0.0022145223,0.00074613665,0.23607299,0.00006991628,0.00005820448,0.0007422544,0.00012993948,0.6975957,0.047625728,0.0028289605,0.010926428,0.0009892177],"about_ca_topic_score_codex":0.00001355243,"about_ca_topic_score_gemma":0.00000938946,"teacher_disagreement_score":0.9400753,"about_ca_system_score_codex":0.000030749507,"about_ca_system_score_gemma":0.000073271265,"threshold_uncertainty_score":0.5989167},"labels":[],"label_agreement":null},{"id":"W63798136","doi":"10.1038/npre.2011.5817.1","title":"The Attentional Routing Circuit: Receptive Field Modulation Through Nonlinear Dendritic Interactions","year":2011,"lang":"en","type":"preprint","venue":"Nature Precedings","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Receptive field; Computer science; Modulation (music); Feed forward; Nonlinear system; Biological neuron model; Routing (electronic design automation); Neuroscience; Artificial intelligence; Artificial neural network; Physics; Psychology; Acoustics","score_opus":0.047398683126172146,"score_gpt":0.30778065355999434,"score_spread":0.2603819704338222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W63798136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7875353,0.00036040822,0.023691023,0.015218938,0.05564562,0.002936368,0.00029836543,0.00094434735,0.11336962],"genre_scores_gemma":[0.9943859,0.00018079608,0.0006341736,0.0014386569,0.0010056586,0.00007573251,0.00006253581,0.000040889736,0.0021756354],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997823,0.00012992183,0.0004016478,0.0008416688,0.00044649935,0.00035723587],"domain_scores_gemma":[0.9978315,0.0010956845,0.0004059426,0.00038989194,0.0002189018,0.000058081045],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00025966886,0.00030854833,0.000216425,0.00008312911,0.0007223649,0.00029731187,0.00053485314,0.000629971,0.00012764124],"category_scores_gemma":[0.0022724683,0.00024388946,0.00025327542,0.0002218673,0.000093183284,0.00036305064,0.00054204057,0.0036303096,0.00004967599],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005806212,0.00052956195,0.0016734097,0.00033911905,0.00026601512,0.00003852717,0.005441172,0.0016077455,0.51150376,0.38110375,0.017080355,0.07983596],"study_design_scores_gemma":[0.0010636882,0.00038480826,0.0068000904,0.001641217,0.0003080551,0.00029526927,0.00049940014,0.16225705,0.22604854,0.55556875,0.042880207,0.0022529212],"about_ca_topic_score_codex":0.00004838418,"about_ca_topic_score_gemma":0.000050735092,"teacher_disagreement_score":0.2854552,"about_ca_system_score_codex":0.00015823939,"about_ca_system_score_gemma":0.000059343718,"threshold_uncertainty_score":0.9986684},"labels":[],"label_agreement":null},{"id":"W66507897","doi":"10.1016/b978-012373961-2.00043-6","title":"OSCILLATORY ACTIVITY | Cellular and Network Oscillations in Epilepsy","year":2009,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Epilepsy; Neuroscience; Psychology","score_opus":0.020095405712742796,"score_gpt":0.22817133607112475,"score_spread":0.20807593035838196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W66507897","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012400791,0.00024186257,0.0000065661593,0.00013482539,0.0006291498,0.00057382125,0.000024973082,0.00007956964,0.98590845],"genre_scores_gemma":[0.11549968,0.00022955572,0.000043863874,0.00079609314,0.00041028176,0.00001097102,0.0000051308257,0.000060223145,0.8829442],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981626,0.00007483996,0.00032365098,0.00076424604,0.00030853788,0.00036607307],"domain_scores_gemma":[0.99902475,0.00018911548,0.00022048889,0.0004152541,0.000023824748,0.0001265577],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022743187,0.00038284267,0.00045376812,0.00017706661,0.00021183619,0.000071992145,0.00016207456,0.00032339914,0.00005464866],"category_scores_gemma":[0.00004661178,0.00037812296,0.00012661384,0.000040867297,0.00017342661,0.00008246197,0.00011356639,0.00065290317,0.00004796583],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021139183,0.00000835109,0.000040655523,0.00002250549,0.0000044750195,0.000059914015,0.000031833308,0.00005232438,0.0075952094,0.013242195,0.00007410613,0.97884727],"study_design_scores_gemma":[0.00029953325,0.00011982532,0.00074555643,0.00022040844,0.000033132583,0.000025585645,9.019719e-7,0.00084293965,0.00043185154,0.053674325,0.94299674,0.0006092192],"about_ca_topic_score_codex":7.88107e-7,"about_ca_topic_score_gemma":0.000046158155,"teacher_disagreement_score":0.97823805,"about_ca_system_score_codex":0.00009975496,"about_ca_system_score_gemma":0.00006184818,"threshold_uncertainty_score":0.9998671},"labels":[],"label_agreement":null},{"id":"W6886017599","doi":"10.14288/1.0132994","title":"Vasectemoids","year":2015,"lang":"en","type":"other","venue":"Open Collections","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Musical; Human life; Quality (philosophy); Human being","score_opus":0.04785568534991922,"score_gpt":0.28644944592791544,"score_spread":0.23859376057799622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6886017599","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[7.702035e-7,0.000015611566,0.000046207784,0.00009456527,0.0018241144,0.00062992703,0.00032060503,0.00020302385,0.99686515],"genre_scores_gemma":[0.000017373668,0.00004365342,0.000092445356,0.00040385846,0.0002707007,0.00009329367,0.000027778442,0.00023134377,0.99881953],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990785,0.00008046155,0.00010669782,0.0003989346,0.00017243178,0.00016297623],"domain_scores_gemma":[0.9994485,0.00004322193,0.00009073383,0.0003050747,0.000023663722,0.0000888278],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006926022,0.0001511436,0.00017968276,0.00011519116,0.000683866,0.0009509259,0.00040592792,0.00013445031,0.011087215],"category_scores_gemma":[0.00017267033,0.00013950489,0.00003646598,0.0010796363,0.000042032145,0.00006720701,0.00020243006,0.00017911306,0.00036664083],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000605132,0.00004327483,1.4494968e-7,0.0000038911844,0.0000048741026,0.0000074942477,0.0000033838437,0.0000027480423,0.00043756468,0.00015662814,0.99915653,0.00017739285],"study_design_scores_gemma":[0.00023752333,0.00006845458,2.6796317e-7,0.0000241859,0.000012629105,0.000030229532,0.0000053917506,0.00013213149,0.00021488793,0.0010691334,0.9980338,0.00017132067],"about_ca_topic_score_codex":0.0041248878,"about_ca_topic_score_gemma":0.004423999,"teacher_disagreement_score":0.010720574,"about_ca_system_score_codex":0.00007069532,"about_ca_system_score_gemma":0.0001809745,"threshold_uncertainty_score":0.9898168},"labels":[],"label_agreement":null},{"id":"W6892133059","doi":"10.5061/dryad.p286g","title":"Data from: Unified pre- and postsynaptic long-term plasticity enables reliable and flexible learning","year":2015,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Plasticity; Postsynaptic potential; Nonsynaptic plasticity; Spike-timing-dependent plasticity; Synaptic plasticity; Perception; Neuroplasticity; Receptive field","score_opus":0.052992269939586875,"score_gpt":0.28595606513678157,"score_spread":0.23296379519719468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6892133059","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27195507,0.00052795175,0.00009760577,0.00003973791,0.00036685847,0.0002752194,0.72657204,0.00011336487,0.000052146625],"genre_scores_gemma":[0.021972984,0.008487104,0.00013020482,0.00031039637,0.0004257949,0.000007994148,0.968332,0.000052480533,0.00028107702],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99613094,0.00030843596,0.0004475996,0.0020839479,0.00041705565,0.0006120311],"domain_scores_gemma":[0.996119,0.0012203625,0.00036660623,0.0019257525,0.0000273986,0.00034088458],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006070162,0.0005582598,0.00059234665,0.00016359723,0.0006631511,0.0007318447,0.0022261743,0.00022339975,0.000020963414],"category_scores_gemma":[0.00021441803,0.0004858001,0.000019173327,0.00024902917,0.0002763145,0.00097365445,0.006729418,0.0009700025,0.000015950956],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017948513,0.00035232183,0.01821238,0.0046933647,0.00031489725,0.00047412713,0.0007599191,0.0020781085,0.011918639,0.000039655282,0.95095986,0.008401868],"study_design_scores_gemma":[0.0010703735,0.00039803807,0.023925452,0.0018441444,0.0005662616,0.00019436082,0.000102442034,0.60066986,0.00003965827,0.0003304296,0.36961251,0.0012464377],"about_ca_topic_score_codex":0.0034390406,"about_ca_topic_score_gemma":0.0048747915,"teacher_disagreement_score":0.5985918,"about_ca_system_score_codex":0.000020417674,"about_ca_system_score_gemma":0.00006666555,"threshold_uncertainty_score":0.9997594},"labels":[],"label_agreement":null},{"id":"W6893087546","doi":"10.5281/zenodo.13450298","title":"BENEFITS OF LIVING IN A BUILDING: BIG BROWN BATS (EPTESICUS FUSCUS) IN ROCKS VERSUS BUILDINGS","year":2006,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Torpor; Predation; Microclimate; Foraging; Juvenile; Thermoregulation; Homeothermy; Energy expenditure","score_opus":0.041989538072628466,"score_gpt":0.2405378843479322,"score_spread":0.1985483462753037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6893087546","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9753496,0.000036208865,0.0004245315,0.00023160253,0.00020045108,0.00027980452,0.00004291792,0.000207162,0.0232277],"genre_scores_gemma":[0.9990164,0.0000427934,0.00006490146,0.00005242776,0.00008752124,5.7940067e-8,0.000028535369,0.00042752284,0.0002798162],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981626,0.00023642938,0.00034967472,0.00049351645,0.0003653514,0.00039241332],"domain_scores_gemma":[0.999206,0.00019591207,0.0001339717,0.0002668628,0.00012796048,0.00006931272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047060044,0.00014201118,0.00016596835,0.00052085373,0.0004396327,0.00024625726,0.00061520614,0.00006719469,0.0008208637],"category_scores_gemma":[0.0022979612,0.00015224371,0.000046893354,0.0012650243,0.000097919066,0.00024192987,0.00065496675,0.00026886107,0.0002649465],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004167648,0.0006746451,0.0005214636,0.000121598205,0.0000073457036,0.000038245173,0.0007547582,0.013913153,0.8098058,0.023191879,0.0058194464,0.1447349],"study_design_scores_gemma":[0.00802479,0.0032205132,0.22115482,0.0017727192,0.00004923325,0.0003358072,0.0006840493,0.029870111,0.18288782,0.0029073425,0.54676396,0.0023288126],"about_ca_topic_score_codex":0.00019100499,"about_ca_topic_score_gemma":0.000015071368,"teacher_disagreement_score":0.62691796,"about_ca_system_score_codex":0.00015574168,"about_ca_system_score_gemma":0.0000039017596,"threshold_uncertainty_score":0.8987882},"labels":[],"label_agreement":null},{"id":"W6911300092","doi":"10.5281/zenodo.10616738","title":"Raw Data for Statistical Analyses Cortex Submission","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Raw data; Statistical analysis; Cortex (anatomy); Pattern recognition (psychology)","score_opus":0.1643395336674099,"score_gpt":0.36502470037221457,"score_spread":0.20068516670480469,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6911300092","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000034731904,0.000043589615,0.0033065358,0.00045940754,0.00061891624,0.0006813692,0.9927752,0.00045309612,0.0016271293],"genre_scores_gemma":[0.0006889279,0.00031131913,0.00008962051,0.00034206855,0.0003658175,9.9255324e-8,0.9962716,0.001103915,0.00082659256],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99683994,0.00038570687,0.0003925872,0.00131253,0.00061055535,0.0004586905],"domain_scores_gemma":[0.9976834,0.00022478044,0.00016484587,0.0014612523,0.00023054419,0.00023520047],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006099555,0.00028280405,0.00028796826,0.0003509853,0.0017474426,0.0017208843,0.0024942234,0.00016007743,0.009969915],"category_scores_gemma":[0.004777713,0.0002569828,0.000074398566,0.0006053542,0.0002126384,0.00026954862,0.0033119135,0.0005866213,0.019774014],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000094533134,0.00009962617,1.0538485e-8,0.00029377805,0.00002319535,0.000053296266,0.000009207684,0.000009482993,0.013677948,0.00059194514,0.9727345,0.012412437],"study_design_scores_gemma":[0.00025356308,0.00029449695,0.00000717346,0.00006398237,0.00010369715,0.00011251705,0.000015087836,0.0062635066,0.0002702952,0.00041894164,0.99191743,0.00027927876],"about_ca_topic_score_codex":0.000020789585,"about_ca_topic_score_gemma":0.0000011111654,"teacher_disagreement_score":0.01918292,"about_ca_system_score_codex":0.00011807108,"about_ca_system_score_gemma":0.000012247777,"threshold_uncertainty_score":0.99998826},"labels":[],"label_agreement":null},{"id":"W6922159104","doi":"10.11575/prism/35072","title":"Enhancing base-metal exploration with seismic imaging","year":2010,"lang":"en","type":"other","venue":"PRISM (University of Calgary)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Permission; Research council; Web site; National archives; Public information; Legislation; National library; Information Dissemination","score_opus":0.010594182824127333,"score_gpt":0.18573819233711286,"score_spread":0.17514400951298553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6922159104","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009384494,0.000036394315,0.6739782,0.00057274406,0.00062866026,0.00042127282,0.0000030654808,0.0002884331,0.31468672],"genre_scores_gemma":[0.032274023,0.00019667592,0.02085712,0.00046650638,0.00011683011,0.0000011254277,0.000059039958,0.00033554333,0.94569314],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.999071,0.00004936962,0.0000732756,0.00038794192,0.00025141184,0.00016700139],"domain_scores_gemma":[0.99939555,0.000037896552,0.00023606776,0.00024781786,0.000019092244,0.000063566375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000625623,0.00016618644,0.0002046095,0.00026682712,0.000115572715,0.000016243559,0.00021950153,0.00012419805,0.0006117543],"category_scores_gemma":[0.00002330848,0.00017559768,0.00007010529,0.00014966,0.00015026981,0.0002506866,0.00007956584,0.0003196477,0.0000645076],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014689809,0.0001454306,0.00010208689,0.00021228388,0.00003596798,0.00037552966,0.0005154841,0.000004627937,0.77574456,0.0015828036,0.032838713,0.18829563],"study_design_scores_gemma":[0.002002497,0.0002774177,0.0002562569,0.0004972807,0.00024917413,0.00007250202,0.00015339762,0.18119182,0.05007298,0.0007659103,0.76319015,0.0012705892],"about_ca_topic_score_codex":0.00074551906,"about_ca_topic_score_gemma":0.00016827119,"teacher_disagreement_score":0.73035145,"about_ca_system_score_codex":0.000024972995,"about_ca_system_score_gemma":0.000050008337,"threshold_uncertainty_score":0.71606654},"labels":[],"label_agreement":null},{"id":"W6925569603","doi":"10.17895/ices.pub.25258990","title":"An approach to modelling the influence of harp seal (Phoca groenlandica) predation on decline and recovery of the Northern Gulf of St Lawrence cod (Gadus morhua)","year":2006,"lang":"en","type":"other","venue":"Open MIND","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"HARP; Predation; Phoca; Population; Residual; Population model; Sampling (signal processing); Seal (emblem)","score_opus":0.03902079675617046,"score_gpt":0.26559726373061116,"score_spread":0.2265764669744407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6925569603","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95580626,0.0000119957895,0.00092341856,0.00007864163,0.00008222488,0.0010367056,0.0007270324,0.0000024039969,0.0413313],"genre_scores_gemma":[0.9764328,0.000031757896,0.00076580927,0.000072573355,0.000042464788,0.00001729274,0.00005141012,0.00006479062,0.022521101],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99861586,0.0001445949,0.0003132587,0.00042773614,0.00036924926,0.00012930999],"domain_scores_gemma":[0.99874663,0.00011757537,0.0005310406,0.0005292485,0.000039676943,0.000035807145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002687893,0.00016517736,0.00026071313,0.00007591687,0.000066492204,0.000053268206,0.000769081,0.000103259714,0.000028677976],"category_scores_gemma":[0.00006661463,0.00010134897,0.000043551463,0.00025187928,0.00017103872,0.000093409544,0.00020755014,0.00015302913,0.0000035374692],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061980676,0.0005406853,0.002121996,0.0001283545,0.000024739607,0.0000015595007,0.00032064997,0.9271755,0.050822064,0.00021223583,0.0011862817,0.016846094],"study_design_scores_gemma":[0.004343055,0.0045533855,0.031542074,0.003483604,0.00047347858,0.000061309074,0.00030197212,0.76608545,0.10904042,0.0016135528,0.076285005,0.002216702],"about_ca_topic_score_codex":0.0005767395,"about_ca_topic_score_gemma":0.0011387464,"teacher_disagreement_score":0.16109009,"about_ca_system_score_codex":0.00001604329,"about_ca_system_score_gemma":0.000056210203,"threshold_uncertainty_score":0.41328907},"labels":[],"label_agreement":null},{"id":"W6929011914","doi":"10.3897/zookeys.786.28767.figure1","title":"Figure 1 from: Knee W (2018) New species of parasitic nasal mites infesting birds in Manitoba, Canada (Mesostigmata, Rhinonyssidae). ZooKeys 786: 1-17. https://doi.org/10.3897/zookeys.786.28767","year":2018,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Liquation; Diafiltration; Triacetin; Emperipolesis; Durvalumab","score_opus":0.04565760144408706,"score_gpt":0.23080899746214784,"score_spread":0.18515139601806077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6929011914","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028812736,0.0001474377,0.00015722365,0.0006043717,0.000795859,0.00085212645,0.00023933782,0.00068449986,0.9677064],"genre_scores_gemma":[0.042890206,0.00015281227,0.00016047811,0.0005458723,0.0011792014,2.3974334e-7,0.0012699238,0.0036479412,0.95015335],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9960079,0.0005079805,0.000663513,0.0010731622,0.0009884777,0.0007589296],"domain_scores_gemma":[0.997744,0.00021398028,0.00055626454,0.00085575314,0.00029353146,0.0003364679],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00033928384,0.0005214359,0.0005384558,0.0006202254,0.00077885337,0.0005018254,0.001445862,0.00027560742,0.30466008],"category_scores_gemma":[0.0028580246,0.0005349934,0.000104193256,0.0009441535,0.00038347938,0.00025136437,0.00086442014,0.0007529707,0.043556888],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007123362,0.000095047784,0.00022175779,0.0001341305,0.000031059622,0.00010654381,0.00013274395,0.000026195214,0.01776275,0.00044855557,0.97758776,0.0033822379],"study_design_scores_gemma":[0.0007097587,0.00026868854,0.0031973696,0.00046298167,0.000033674725,0.0000067133765,0.0001248572,0.00051280326,0.0030768798,0.000111477355,0.99095786,0.0005369199],"about_ca_topic_score_codex":0.0668023,"about_ca_topic_score_gemma":0.003351745,"teacher_disagreement_score":0.26110318,"about_ca_system_score_codex":0.00044475443,"about_ca_system_score_gemma":0.00009931758,"threshold_uncertainty_score":0.99971014},"labels":[],"label_agreement":null},{"id":"W6929053892","doi":"10.4224/23002480","title":"Mercure","year":2017,"lang":"en","type":"article","venue":"NPARC","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Herzberg Institute of Astrophysics","funders":"","keywords":"","score_opus":0.04152050412807329,"score_gpt":0.27967960156802424,"score_spread":0.23815909743995095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6929053892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66419625,7.723247e-7,0.0000742835,0.0039364444,0.0006251487,0.000048146816,0.0000036968024,0.000039312305,0.33107597],"genre_scores_gemma":[0.99417955,0.000007310131,0.000071712595,0.0006933286,0.00007568133,0.0000023327616,2.5304362e-7,0.000004505096,0.004965341],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996399,0.000010687058,0.00003747938,0.00013527491,0.000086200904,0.00009041508],"domain_scores_gemma":[0.99962014,0.000022115813,0.000037073787,0.00028595276,0.0000063194884,0.000028372719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003580512,0.000036314614,0.000036767826,0.000010782246,0.00033536152,0.00009514526,0.00019979881,0.000017973603,0.00024367336],"category_scores_gemma":[0.00027700388,0.00002929414,0.000021826794,0.000013616569,0.00004970409,0.00012165,0.000049979615,0.000056717745,0.00018348165],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000034775871,0.000007059841,0.0001971374,0.0000013130526,2.5974936e-7,0.000008448263,0.0000073265037,6.560828e-7,0.9537974,0.029281558,0.0022814989,0.014413891],"study_design_scores_gemma":[0.0004572941,0.00010567222,0.023910848,0.000013532039,0.000006860585,0.00003987752,0.000006626595,0.010189192,0.69375783,0.13390896,0.13734382,0.00025949316],"about_ca_topic_score_codex":0.0000023108921,"about_ca_topic_score_gemma":0.000002469023,"teacher_disagreement_score":0.3299833,"about_ca_system_score_codex":0.0000049594564,"about_ca_system_score_gemma":0.000004830679,"threshold_uncertainty_score":0.26680523},"labels":[],"label_agreement":null},{"id":"W6929168949","doi":"10.48336/0gag-s111","title":"Nature and physis: highlighting the significance of understanding the ontological primacy of nature in post-metaphysical thought","year":2022,"lang":"en","type":"article","venue":"Memorial University Research Repository (Memorial University)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Interpretation (philosophy); Perspective (graphical); Meaning (existential); Focus (optics); Process (computing); Natural (archaeology)","score_opus":0.035067565700904385,"score_gpt":0.2644339577132354,"score_spread":0.22936639201233103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6929168949","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98848015,0.00003192588,0.000038902148,0.0015785082,0.002218007,0.0006702816,0.000052413186,0.00002858784,0.0069012325],"genre_scores_gemma":[0.9979378,0.000029922045,0.000013628051,0.000037097194,0.0004935196,6.604506e-7,0.0000033532592,0.000009729671,0.0014742869],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9951479,0.0025537198,0.00019817344,0.00060456805,0.0010967525,0.0003988976],"domain_scores_gemma":[0.9969535,0.002136971,0.00023287915,0.00041213603,0.0001815266,0.00008300105],"candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0009763781,0.0001685021,0.00031416595,0.0004290358,0.0018352326,0.00005109905,0.0012631175,0.0001938419,0.000014347716],"category_scores_gemma":[0.00045579486,0.00012861256,0.00016944931,0.0024000085,0.001032073,0.00034634813,0.0011280006,0.0024359112,4.0072783e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0040351003,0.00026430908,0.00037718192,0.000041192885,0.000044878274,0.0005584244,0.00082970137,0.0004058397,0.66168976,0.33127725,0.00034366272,0.00013271961],"study_design_scores_gemma":[0.020136317,0.007437425,0.021875465,0.0002823838,0.000715001,0.00032933126,0.15237118,0.013632483,0.6241974,0.019211419,0.13735816,0.0024534152],"about_ca_topic_score_codex":0.00037371545,"about_ca_topic_score_gemma":0.00008610333,"teacher_disagreement_score":0.31206584,"about_ca_system_score_codex":0.0006337837,"about_ca_system_score_gemma":0.00031537627,"threshold_uncertainty_score":0.99986553},"labels":[],"label_agreement":null},{"id":"W6929229099","doi":"10.3932/ethz-a-000795043","title":"Québec, Sankt-Lorenz-Strom","year":2001,"lang":"de","type":"other","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"","score_opus":0.019690514523598854,"score_gpt":0.2366757938992706,"score_spread":0.21698527937567175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6929229099","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025929098,0.0007033921,0.0013694144,0.0027369289,0.006478842,0.0006168217,0.000093471586,0.00038323217,0.985025],"genre_scores_gemma":[0.0059870468,0.0014779764,0.00012339646,0.0040832786,0.0015491305,0.00001715472,0.000036876536,0.00032184168,0.9864033],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99708974,0.00012907312,0.00041990823,0.0011848544,0.0005120392,0.0006643829],"domain_scores_gemma":[0.9984729,0.00021182967,0.00028908206,0.00076019356,0.000033926422,0.00023201227],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00010076588,0.0005918893,0.00048465596,0.00026933936,0.00020772542,0.00020391108,0.00057929114,0.00041648082,0.15065558],"category_scores_gemma":[0.0001964262,0.00049331726,0.00027491516,0.00043349154,0.00022666846,0.000096356765,0.00017332823,0.0005662495,0.028629443],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004627507,0.00028583023,0.0008996904,0.0000747488,0.000053942018,0.00027136525,0.00004388554,0.000028525616,0.038149912,0.004832262,0.9293378,0.025975784],"study_design_scores_gemma":[0.00035108157,0.00020152812,0.00019987547,0.000075568925,0.000061165694,0.000046694637,0.00001598263,0.0017133268,0.0012063212,0.00012552836,0.9954207,0.000582236],"about_ca_topic_score_codex":0.017936446,"about_ca_topic_score_gemma":0.018434688,"teacher_disagreement_score":0.122026145,"about_ca_system_score_codex":0.00016950571,"about_ca_system_score_gemma":0.00023215929,"threshold_uncertainty_score":0.99975187},"labels":[],"label_agreement":null},{"id":"W6929389140","doi":"10.5061/dryad.d0p47","title":"Data from: Using a ‘time machine’ to test for local adaptation of aquatic microbes to temporal and spatial environmental variation","year":2014,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Maladaptation; Local adaptation; Adaptation (eye); Sorting; Spatial ecology; Metacommunity","score_opus":0.04037761419767335,"score_gpt":0.25814188387184306,"score_spread":0.2177642696741697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6929389140","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04327158,0.000030176412,0.13704993,0.000052005857,0.00020242232,0.00056820374,0.8188094,0.000015267326,0.0000010276359],"genre_scores_gemma":[0.09162774,0.000061205574,0.0033934673,0.00043862523,0.00031756127,0.00001085295,0.90410954,0.000032193126,0.000008801352],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99764156,0.00019525185,0.00044904166,0.0011755286,0.00025683103,0.00028179464],"domain_scores_gemma":[0.99709016,0.0011457969,0.0003240762,0.0012788648,0.000006045193,0.00015504949],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00041756834,0.00032835934,0.00039855935,0.00013812222,0.00024849785,0.00014910214,0.0012132439,0.000099387325,0.000012461343],"category_scores_gemma":[0.00011204401,0.00030631438,0.000023379458,0.00011882353,0.00006565286,0.0003166832,0.0018478265,0.00017499046,0.000012964484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028133302,0.0014349264,0.0029453165,0.0032620733,0.00027476784,0.000034909437,0.0028344693,0.05463685,0.50081754,0.00000886095,0.32067156,0.11026538],"study_design_scores_gemma":[0.00032603712,0.00026279173,0.00080860785,0.00029965673,0.0001596404,0.000009051782,0.00003615668,0.94890815,0.000050986473,0.000048452133,0.04878614,0.0003043116],"about_ca_topic_score_codex":0.013661033,"about_ca_topic_score_gemma":0.016304107,"teacher_disagreement_score":0.8942713,"about_ca_system_score_codex":0.000025331366,"about_ca_system_score_gemma":0.000024967687,"threshold_uncertainty_score":0.9999389},"labels":[],"label_agreement":null},{"id":"W6929465794","doi":"10.48660/05020025","title":"Codimension two braneworlds, Episode 2: The cosmological constant strikes back","year":2005,"lang":"en","type":"other","venue":"PIRSA","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Marianopolis College","funders":"","keywords":"Constant (computer programming); Codimension; Field (mathematics); Work (physics); Cosmological constant","score_opus":0.031394456540546914,"score_gpt":0.2679554978235448,"score_spread":0.23656104128299787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6929465794","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018199255,0.0004828231,0.00017767516,0.0036865259,0.001825751,0.0008385842,0.00022846497,0.00033732114,0.9906029],"genre_scores_gemma":[0.06395931,0.00065948913,0.00017066058,0.007532554,0.00085218373,0.000019971223,0.00003379079,0.0002529914,0.92651904],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99833345,0.00020324216,0.00022356525,0.0005673817,0.00033193507,0.0003404137],"domain_scores_gemma":[0.99886996,0.0003974555,0.00020340478,0.00043833282,0.000013546662,0.00007732155],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00013448906,0.000290287,0.00028875677,0.00008629827,0.000135136,0.00007001043,0.00035359367,0.00018016403,0.00892974],"category_scores_gemma":[0.00014463584,0.00017223644,0.000111645124,0.00019338143,0.00031970453,0.00003254182,0.00012023529,0.00042116828,0.0018077974],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053776745,0.00012215714,0.000080955615,0.00002822544,0.000013020807,0.000069113245,0.000013663482,0.000050645656,0.042584635,0.0210918,0.92128974,0.014602275],"study_design_scores_gemma":[0.00040092776,0.0000748221,0.000035718578,0.00006990092,0.000021417836,0.000065644344,0.000003584803,0.00079355476,0.0020956167,0.0007347324,0.99543756,0.0002664997],"about_ca_topic_score_codex":0.00012623628,"about_ca_topic_score_gemma":0.00031969103,"teacher_disagreement_score":0.07414785,"about_ca_system_score_codex":0.000039442966,"about_ca_system_score_gemma":0.000026726622,"threshold_uncertainty_score":0.99896944},"labels":[],"label_agreement":null},{"id":"W6929554840","doi":"10.5061/dryad.mj38033","title":"Data from: Domesticated tomatoes are more vulnerable to negative plant-soil feedbacks than their wild relatives","year":2019,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Domestication; Herbivore; Rhizosphere; Resistance (ecology); Germination; Cultivar; Range (aeronautics); Biomass (ecology)","score_opus":0.05598588561680623,"score_gpt":0.28501990770849644,"score_spread":0.22903402209169021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6929554840","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07689986,0.00014938656,0.00010109458,0.00043158617,0.0010014338,0.0006176719,0.9205528,0.00013627457,0.000109927634],"genre_scores_gemma":[0.01583939,0.0014204379,0.00016413102,0.0015310709,0.00056722335,0.000023887327,0.9800867,0.00007743913,0.0002897623],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99459064,0.00076811976,0.00059190305,0.0027264734,0.00053101365,0.00079186214],"domain_scores_gemma":[0.9905235,0.00359725,0.00060630566,0.004906156,0.000029279436,0.00033746255],"candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.0005273895,0.00083936786,0.0008847169,0.00021828481,0.00078172976,0.0005754664,0.005807583,0.0002698693,0.000046115983],"category_scores_gemma":[0.00033155436,0.00064255664,0.000058191417,0.0005547717,0.00022768816,0.001052141,0.0063824505,0.0013489259,0.00017852361],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044892856,0.00014610557,0.0005962833,0.00049622264,0.00015978214,0.00010092681,0.0009388524,0.0017555198,0.002595268,0.000012863724,0.9921473,0.00060194446],"study_design_scores_gemma":[0.0008448291,0.00020677694,0.009723081,0.0034278058,0.0003157822,0.00007694294,0.0011828131,0.48059106,0.00023508331,0.0005520229,0.5011981,0.0016456792],"about_ca_topic_score_codex":0.0029570817,"about_ca_topic_score_gemma":0.0057861526,"teacher_disagreement_score":0.49094918,"about_ca_system_score_codex":0.000032598673,"about_ca_system_score_gemma":0.000066131775,"threshold_uncertainty_score":0.99960256},"labels":[],"label_agreement":null},{"id":"W6930265754","doi":"10.5281/zenodo.12758667","title":"+91-8094774404φ(* 0 ) Breakup problem solution in Goa","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wife; Caster; Miracle; MAGIC (telescope); Wonder","score_opus":0.03748057755794408,"score_gpt":0.2500511065665954,"score_spread":0.2125705290086513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930265754","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00015716566,0.00013653436,0.0005101851,0.00085836265,0.000524224,0.00082144246,0.00040814906,0.0019121683,0.99467176],"genre_scores_gemma":[0.03352079,0.00054878456,0.00017565033,0.000521153,0.0006726731,3.0254017e-7,0.0013170684,0.01681021,0.94643337],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975635,0.00034427128,0.0002885229,0.00088459544,0.00045802738,0.00046110252],"domain_scores_gemma":[0.9991851,0.000019883133,0.00014350396,0.00045418486,0.000071763265,0.00012556266],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00039406947,0.00025993396,0.00021792096,0.0007283491,0.0004714875,0.0007741086,0.0008167197,0.00019967652,0.017611569],"category_scores_gemma":[0.0003625825,0.00026283317,0.00007675238,0.0009163996,0.00015919951,0.00014884576,0.0009695626,0.0006153634,0.039814465],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025463689,0.00009277631,1.9808408e-7,0.00022354323,0.000009496285,0.000060622613,0.00013559923,0.0000106229345,0.018448377,0.0073107257,0.93947303,0.034209512],"study_design_scores_gemma":[0.0002785794,0.0001366192,0.000012147821,0.00020987271,0.0000116328565,0.00012752882,0.000020023035,0.0008545889,0.00031378685,0.0008521558,0.99691224,0.00027079863],"about_ca_topic_score_codex":0.00007522945,"about_ca_topic_score_gemma":0.00000567924,"teacher_disagreement_score":0.057439204,"about_ca_system_score_codex":0.00021972378,"about_ca_system_score_gemma":0.00000496858,"threshold_uncertainty_score":0.9999824},"labels":[],"label_agreement":null},{"id":"W6930280915","doi":"10.5281/zenodo.11783123","title":"tartini trumpet concerto in d pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Concerto; Violin concerto; Cadenza; Violin; Style (visual arts); MOZART","score_opus":0.040898448421500734,"score_gpt":0.25734082184502116,"score_spread":0.21644237342352043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930280915","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00036271694,0.0000875289,0.00009348367,0.0006901492,0.00051648397,0.00044578398,0.0003137984,0.0010354146,0.99645466],"genre_scores_gemma":[0.023235224,0.000233659,0.000024923645,0.0005782939,0.00036627703,8.617896e-8,0.0005775543,0.008408272,0.9665757],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99803144,0.0002941013,0.0002460162,0.0007187455,0.0003457101,0.00036400108],"domain_scores_gemma":[0.9993088,0.000024503723,0.00011226129,0.00039376924,0.000046303252,0.00011433762],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00027458754,0.00020638415,0.00019562835,0.00050730037,0.00032337455,0.00063789845,0.00074875134,0.0001372364,0.13559593],"category_scores_gemma":[0.0006441999,0.00020630471,0.0000624302,0.000698485,0.00015829942,0.00009008414,0.00074141525,0.000479969,0.19495268],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021912501,0.000050593168,2.2019059e-7,0.0001030729,0.00000668349,0.00008633316,0.00009665588,0.000005491759,0.009976297,0.0038108574,0.9770261,0.008815767],"study_design_scores_gemma":[0.0002531772,0.000118016345,0.000008939074,0.00013198161,0.0000075387215,0.00007411518,0.000029421759,0.0005110028,0.0004612711,0.00046776686,0.9977227,0.00021407529],"about_ca_topic_score_codex":0.000029824667,"about_ca_topic_score_gemma":0.0000030015472,"teacher_disagreement_score":0.05935674,"about_ca_system_score_codex":0.000115625015,"about_ca_system_score_gemma":0.0000034694344,"threshold_uncertainty_score":0.86519426},"labels":[],"label_agreement":null},{"id":"W6930556436","doi":"10.5281/zenodo.12378316","title":"skin im in pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Circumstantial evidence; TSG101; Nucleofection; Pretext; Paraphernalia; Limiting","score_opus":0.03268732470356186,"score_gpt":0.25009394847872607,"score_spread":0.2174066237751642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930556436","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00022194238,0.000079285266,0.00013449362,0.00040885762,0.0004550561,0.00039741176,0.00022272339,0.0009386664,0.99714154],"genre_scores_gemma":[0.012477383,0.00024234386,0.000025178062,0.0003518123,0.00034130216,5.4083845e-8,0.00046918902,0.008867841,0.9772249],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981839,0.00025763505,0.00020103085,0.0006821828,0.000341525,0.0003336973],"domain_scores_gemma":[0.99936175,0.000018497283,0.00008867221,0.00039028953,0.000042185107,0.00009857635],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00026003682,0.00019199515,0.00016857414,0.00062213175,0.00033905942,0.00065628765,0.0007621759,0.00013531245,0.11243612],"category_scores_gemma":[0.00046580491,0.00019296077,0.00006110926,0.00075428205,0.00013136343,0.00008260499,0.0008182072,0.00047603628,0.23252214],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001342365,0.000055738103,1.0509928e-7,0.00010722803,0.0000058087135,0.00007129702,0.000082146864,0.000004677043,0.007282685,0.003823161,0.9749469,0.013606785],"study_design_scores_gemma":[0.00018813946,0.00008489576,0.000011268261,0.0001184032,0.0000063669822,0.000076472745,0.000023957644,0.0003896214,0.0004023881,0.00050059555,0.9980005,0.00019737314],"about_ca_topic_score_codex":0.000028709632,"about_ca_topic_score_gemma":0.0000025654444,"teacher_disagreement_score":0.12008603,"about_ca_system_score_codex":0.00011844369,"about_ca_system_score_gemma":0.0000025546567,"threshold_uncertainty_score":0.8883752},"labels":[],"label_agreement":null},{"id":"W6930657072","doi":"10.5281/zenodo.15098600","title":"Advanced Education and Research","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Directory; License; Work (physics); Free access; Scholarly communication; Key (lock); Publishing; The arts","score_opus":0.03781111848388614,"score_gpt":0.2943048558952627,"score_spread":0.25649373741137654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930657072","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00038342466,0.00020259668,0.00025568667,0.0008138766,0.00040596566,0.0006666711,0.00021442237,0.0007939017,0.99626344],"genre_scores_gemma":[0.018651772,0.0013328373,0.00016967172,0.00048777804,0.00035141976,2.0998267e-7,0.0007481506,0.004750208,0.97350794],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977529,0.00056044647,0.0001669647,0.0007187643,0.00045147628,0.0003494445],"domain_scores_gemma":[0.9989501,0.00006730644,0.00009702119,0.0004746447,0.0002778876,0.00013303144],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00047078336,0.00016619974,0.0001533957,0.0007650959,0.0015218356,0.0006847122,0.0007122978,0.00013764839,0.012802323],"category_scores_gemma":[0.0018329774,0.000172851,0.000033245393,0.000802666,0.0002471572,0.00011717821,0.0010844385,0.00051362894,0.003715064],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018896479,0.00008358727,1.3975324e-7,0.00009373316,0.000004814916,0.0000032000503,0.000061434504,0.0000011513582,0.01074872,0.014857131,0.6819995,0.2921277],"study_design_scores_gemma":[0.00019452209,0.00012032672,0.000021602962,0.00014239634,0.0000059951044,0.00003537926,0.00009156006,0.00009249722,0.0006814077,0.0008476912,0.99760973,0.00015687697],"about_ca_topic_score_codex":0.000037378948,"about_ca_topic_score_gemma":7.988635e-7,"teacher_disagreement_score":0.31561023,"about_ca_system_score_codex":0.000115865,"about_ca_system_score_gemma":0.00001661577,"threshold_uncertainty_score":0.99977803},"labels":[],"label_agreement":null},{"id":"W6930816228","doi":"10.5281/zenodo.15285481","title":"Learning to Intervene on Concept Bottlenecks","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Action (physics); Work (physics); Key (lock); Perspective (graphical); Government (linguistics)","score_opus":0.04344592842437549,"score_gpt":0.2721540732139734,"score_spread":0.2287081447895979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930816228","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5616686,0.00010485917,0.013051468,0.011370498,0.0021231296,0.0013114394,0.00034486435,0.0067375414,0.40328765],"genre_scores_gemma":[0.99243575,0.000020788308,0.000025982681,0.0007581241,0.00015857753,3.9106407e-8,0.00012248036,0.000744405,0.005733869],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985042,0.00027209026,0.00015592345,0.00050252466,0.00029181343,0.00027344486],"domain_scores_gemma":[0.99945945,0.00006788344,0.000028210332,0.00021636787,0.00008558124,0.00014250886],"candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00029576285,0.00011265354,0.00008744759,0.00023067594,0.0011142913,0.0010454194,0.0004891385,0.000036563903,0.005996536],"category_scores_gemma":[0.0012109716,0.000107909895,0.000054348417,0.00061576144,0.000068412424,0.00017391263,0.00053462584,0.00034880912,0.017337725],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000871616,0.000086708,4.7721403e-7,0.00005457493,0.000011412368,0.00008349092,0.0015840003,0.0016155046,0.31593785,0.030087098,0.13559054,0.51486117],"study_design_scores_gemma":[0.0001229261,0.0008130875,0.0000466278,0.00007093619,0.0000036839303,0.00007005701,0.00009310272,0.005229945,0.017183818,0.00020424754,0.9760277,0.00013382785],"about_ca_topic_score_codex":0.0000035448672,"about_ca_topic_score_gemma":6.556837e-8,"teacher_disagreement_score":0.84043723,"about_ca_system_score_codex":0.00011081563,"about_ca_system_score_gemma":0.0000017951794,"threshold_uncertainty_score":0.9999916},"labels":[],"label_agreement":null},{"id":"W6930828714","doi":"10.5281/zenodo.15090848","title":"Traduc-thon : Expérimenter la traduction de REL avec les outils d'IAg","year":2025,"lang":"fr","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Meaning (existential); Context (archaeology); Subject (documents); Set (abstract data type)","score_opus":0.031705023747958555,"score_gpt":0.2511686453241864,"score_spread":0.21946362157622787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930828714","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007289039,0.00023268095,0.016004229,0.004328858,0.0015044106,0.0011330673,0.00055664824,0.0016421007,0.96730894],"genre_scores_gemma":[0.14250652,0.001743736,0.0004221519,0.0008092138,0.0010173258,3.3628595e-7,0.0009561984,0.0074893157,0.8450552],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9955255,0.0016505036,0.0004676054,0.0011264539,0.000526412,0.00070355134],"domain_scores_gemma":[0.99842024,0.00011507324,0.0002713398,0.0006821832,0.00025204697,0.0002590925],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00084464054,0.00043645527,0.00034020233,0.00055502495,0.002264047,0.0012747968,0.0012239559,0.00036704092,0.041768964],"category_scores_gemma":[0.0013280858,0.00047689426,0.00019218052,0.0007633745,0.00046337224,0.00027565556,0.00075794436,0.0009407062,0.0076881745],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019324003,0.00058814196,0.000004613137,0.00040986197,0.00008087428,0.00011649859,0.0017066218,0.00012236385,0.09600349,0.05167111,0.32250166,0.52660155],"study_design_scores_gemma":[0.0006067549,0.00033411096,0.00042187527,0.00027246235,0.00006158528,0.00038279622,0.0001377306,0.002019249,0.004223761,0.00051018654,0.9906243,0.00040515375],"about_ca_topic_score_codex":0.00005930598,"about_ca_topic_score_gemma":0.000001981315,"teacher_disagreement_score":0.6681227,"about_ca_system_score_codex":0.00052691606,"about_ca_system_score_gemma":0.000021652731,"threshold_uncertainty_score":0.99976826},"labels":[],"label_agreement":null},{"id":"W6930950706","doi":"10.5281/zenodo.16545112","title":"ROTE-Based Harmonic Collapse Detection in Pediatric Epileptic EEG: A Case Study Using CHB-MIT Data","year":2025,"lang":"en","type":"preprint","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fields Institute for Research in Mathematical Sciences","funders":"","keywords":"Harmonic; Epileptic seizure; Ictal; Electroencephalography; Harmonic analysis; Power (physics)","score_opus":0.11621802288907424,"score_gpt":0.30851324802871544,"score_spread":0.1922952251396412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930950706","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98729664,0.0000465346,0.0056341295,0.00019828115,0.000729049,0.0026632429,0.0009586094,0.0007092004,0.001764329],"genre_scores_gemma":[0.9979742,0.00006613995,0.00007499531,0.00012840446,0.00015666742,3.7503696e-7,0.0006249412,0.0007592028,0.00021506505],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9953631,0.0014319875,0.0005685487,0.001572882,0.0005716601,0.00049180817],"domain_scores_gemma":[0.9974683,0.000127491,0.00031680005,0.0016332906,0.00029680209,0.00015732896],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0012120603,0.00033591184,0.00032637504,0.0010344087,0.0018362225,0.0012237281,0.0019421648,0.00017993958,0.00078968256],"category_scores_gemma":[0.0021452038,0.00037933883,0.000073481264,0.0018185985,0.00009210559,0.00030550975,0.0064393654,0.0011365396,0.00044893337],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033821433,0.015323433,0.0006271885,0.0068442496,0.0003808261,0.028799832,0.008510741,0.16526693,0.25561428,0.00081154495,0.029932609,0.48450622],"study_design_scores_gemma":[0.0038962718,0.0012292567,0.0013836676,0.00022790572,0.00037948546,0.0014941181,0.00091971544,0.94849044,0.0024249435,0.00030894604,0.03788378,0.0013614777],"about_ca_topic_score_codex":0.00032699562,"about_ca_topic_score_gemma":0.000034963115,"teacher_disagreement_score":0.7832235,"about_ca_system_score_codex":0.00055812113,"about_ca_system_score_gemma":0.00004666561,"threshold_uncertainty_score":0.99986583},"labels":[],"label_agreement":null},{"id":"W6930972057","doi":"10.5281/zenodo.3844823","title":"Caraphractus cinctus Walker 1846","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Calliphoridae; Male genitalia; Taxonomy (biology)","score_opus":0.05908258661520347,"score_gpt":0.24348865592146063,"score_spread":0.18440606930625716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930972057","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46474427,0.000079170706,0.009035349,0.020804666,0.0007846717,0.0014015752,0.00051581365,0.004372566,0.49826193],"genre_scores_gemma":[0.99508065,0.000053534415,0.00004072934,0.0030535127,0.00019463866,1.9499497e-8,0.00018399856,0.0007905748,0.0006023543],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99833465,0.00025358048,0.00019152826,0.0005241996,0.00036302718,0.0003330418],"domain_scores_gemma":[0.9992074,0.000038627797,0.000079199,0.00027705028,0.0001456729,0.00025205882],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00018001429,0.00013398993,0.000120494085,0.00009835961,0.0015097306,0.00057245884,0.00069904566,0.00004796042,0.008969686],"category_scores_gemma":[0.0012891055,0.00013093896,0.00006098686,0.00064337306,0.00011782399,0.00026032847,0.0006734333,0.00028433645,0.012374247],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016012866,0.00011385002,0.000004077543,0.000054009375,0.0000124382395,0.00007801649,0.0010180562,0.00019044493,0.68811166,0.01033105,0.17733547,0.1225908],"study_design_scores_gemma":[0.000349254,0.00026902673,0.00024462296,0.0000061776354,0.0000068258396,0.00008544338,0.00006192985,0.0039500464,0.014774076,0.00019730635,0.9798873,0.00016796408],"about_ca_topic_score_codex":0.0000057054,"about_ca_topic_score_gemma":7.0759306e-8,"teacher_disagreement_score":0.80255187,"about_ca_system_score_codex":0.000054818258,"about_ca_system_score_gemma":0.0000023326427,"threshold_uncertainty_score":0.9997902},"labels":[],"label_agreement":null},{"id":"W6931067418","doi":"10.5281/zenodo.3789515","title":"Atomaria fuscata Schonherr 1808","year":2010,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; Nova Scotia Hospital","funders":"","keywords":"Indian ocean; Meal; Supper; Period (music)","score_opus":0.03839306812701572,"score_gpt":0.2488990931735243,"score_spread":0.21050602504650856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931067418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64495236,0.000010637167,0.0016763401,0.0028514205,0.0013262619,0.0006434405,0.00025435252,0.002080403,0.3462048],"genre_scores_gemma":[0.995752,0.000022834258,0.00013138217,0.0005418835,0.00022706849,2.9355474e-8,0.0002484553,0.00086036057,0.0022160027],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99841076,0.00019680923,0.00018648274,0.0005082958,0.0003502625,0.00034737185],"domain_scores_gemma":[0.9989721,0.000044025306,0.00008284208,0.0005312197,0.00018699707,0.00018281708],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003940378,0.00012890353,0.0001011874,0.00016072596,0.0021368074,0.00085971266,0.0009859066,0.00007152999,0.013360919],"category_scores_gemma":[0.0017065863,0.0001275727,0.00005025508,0.00053782924,0.00018620663,0.00034232924,0.0008556889,0.000507687,0.013969765],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039591225,0.00009286001,0.000004278847,0.000013956959,0.0000043665095,0.00001607132,0.00011636461,0.000006327638,0.8202724,0.035222255,0.0660842,0.078127325],"study_design_scores_gemma":[0.00031647302,0.00011610895,0.000680934,0.000005697078,0.000004898388,0.00020187105,0.000024101108,0.0015333302,0.016531516,0.00092032267,0.9795005,0.00016429927],"about_ca_topic_score_codex":0.000009273038,"about_ca_topic_score_gemma":7.052744e-7,"teacher_disagreement_score":0.91341627,"about_ca_system_score_codex":0.000039770617,"about_ca_system_score_gemma":0.0000030512654,"threshold_uncertainty_score":0.99916226},"labels":[],"label_agreement":null},{"id":"W6931398188","doi":"10.5281/zenodo.6940300","title":"ExpressionTreeForge.jl","year":2019,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Process (computing); Work (physics); Identification (biology); Product (mathematics)","score_opus":0.037336320032688976,"score_gpt":0.24391507069566748,"score_spread":0.2065787506629785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931398188","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00012755289,0.00004986171,0.00070888613,0.0003617975,0.0006249677,0.00062796613,0.00046412286,0.0016990093,0.9953358],"genre_scores_gemma":[0.009339432,0.00026144186,0.0000612408,0.00056184083,0.00049666455,5.0539555e-8,0.0009851996,0.011857957,0.9764362],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99793196,0.00030510555,0.00019680578,0.0007172522,0.00046404474,0.0003848606],"domain_scores_gemma":[0.9988594,0.000031896197,0.00019604096,0.00068227894,0.000086217886,0.00014416891],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00019216127,0.00023203965,0.00021064199,0.00036223675,0.00090251287,0.0005618171,0.0011170557,0.00017055284,0.044169914],"category_scores_gemma":[0.0006501782,0.00021633846,0.00008145305,0.00038493337,0.00012441949,0.00012178503,0.0010716516,0.00037807677,0.047865573],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020921818,0.00005804413,1.3337012e-7,0.000062873056,0.000007830573,0.000013835768,0.0000486114,0.000006330673,0.032367334,0.0035708952,0.93078566,0.03305753],"study_design_scores_gemma":[0.00032522753,0.00011938202,0.0000071748805,0.000092037066,0.000008606631,0.00006338357,0.000020031595,0.0002936924,0.0011510056,0.00010571002,0.9975695,0.0002442278],"about_ca_topic_score_codex":0.000017264541,"about_ca_topic_score_gemma":3.0398874e-7,"teacher_disagreement_score":0.06678386,"about_ca_system_score_codex":0.00008462044,"about_ca_system_score_gemma":0.0000030557915,"threshold_uncertainty_score":0.95670384},"labels":[],"label_agreement":null},{"id":"W6931674121","doi":"10.5281/zenodo.6629468","title":"hungchristine/ECOPT2: ECOPT2","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Software; Product (mathematics); Process (computing); Work (physics); Identification (biology)","score_opus":0.038576033450872606,"score_gpt":0.24389996696166855,"score_spread":0.20532393351079595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931674121","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00032618642,0.00008907019,0.00021440702,0.0002665418,0.0005906611,0.00052988005,0.0008157071,0.002162867,0.99500465],"genre_scores_gemma":[0.021485047,0.00072901015,0.00015824665,0.0014671403,0.0011216474,2.61851e-7,0.004421022,0.023546888,0.9470707],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971985,0.0007825389,0.0002370756,0.00081119686,0.00055923,0.00041141428],"domain_scores_gemma":[0.99882376,0.00006832775,0.00023218738,0.0006515877,0.00006586189,0.00015825086],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004427496,0.0002556708,0.00022011144,0.00047052366,0.0022473037,0.0007422847,0.0013528157,0.000136134,0.37898353],"category_scores_gemma":[0.0012853504,0.00027398497,0.00009249711,0.0006773673,0.00027987408,0.00009308139,0.0017128435,0.00065783825,0.016826037],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023646922,0.000097698794,4.923253e-7,0.000051938685,0.000011426082,0.000037746475,0.000053307023,0.000018390641,0.008345593,0.003501991,0.96573675,0.022121048],"study_design_scores_gemma":[0.00032492558,0.00020053066,0.00002131871,0.00002004001,0.000012796341,0.00012958124,0.000034151988,0.00027805794,0.00031549434,0.00018851859,0.9981877,0.00028684828],"about_ca_topic_score_codex":0.000028760473,"about_ca_topic_score_gemma":3.1724292e-7,"teacher_disagreement_score":0.36215746,"about_ca_system_score_codex":0.00022906913,"about_ca_system_score_gemma":0.0000045305596,"threshold_uncertainty_score":0.9999712},"labels":[],"label_agreement":null},{"id":"W6931909025","doi":"10.5683/sp3/fpdsoe","title":"Ground Penetrating Radar (GPR) raw data","year":2024,"lang":"en","type":"dataset","venue":"Borealis","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Raw data; Ground-penetrating radar; Radar; Radar imaging; Early-warning radar","score_opus":0.06540765918030643,"score_gpt":0.3039686259236726,"score_spread":0.23856096674336613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931909025","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000046988553,0.0000954443,0.0000033380175,0.00039260715,0.0014860292,0.00023473546,0.9964207,0.00011225923,0.001207946],"genre_scores_gemma":[0.000044925673,0.0004482535,0.000026534148,0.0014713964,0.00085961464,0.000012215286,0.9967073,0.000041229847,0.0003885108],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99756116,0.000109745626,0.00033750565,0.0011339525,0.00051795744,0.00033966603],"domain_scores_gemma":[0.9974998,0.00026296682,0.0001564375,0.0019621137,0.000018863062,0.00009982017],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002699326,0.00032235475,0.00026286472,0.00014252638,0.00018710915,0.00049722515,0.0014584599,0.00021259747,0.00010663172],"category_scores_gemma":[0.0005095131,0.00027502683,0.00007749514,0.00027421804,0.000090864276,0.00028692282,0.0008585145,0.00061846577,0.00045432014],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000083649675,0.000024744388,2.6591368e-7,0.00015493859,0.000007931722,0.00023491264,0.0000038754715,3.460051e-7,0.004707859,0.00022498523,0.9938487,0.0007830678],"study_design_scores_gemma":[0.00008778984,0.000052963365,0.00004984339,0.00009340443,0.00007369695,0.00008201348,0.0000057499483,0.0002562023,0.00006562492,0.0005697125,0.9983592,0.00030382312],"about_ca_topic_score_codex":0.0096403435,"about_ca_topic_score_gemma":0.0072668144,"teacher_disagreement_score":0.0046422337,"about_ca_system_score_codex":0.000051703635,"about_ca_system_score_gemma":0.000104530154,"threshold_uncertainty_score":0.9999702},"labels":[],"label_agreement":null},{"id":"W6949625336","doi":"10.5281/zenodo.15257919","title":"Deriving connectivity from spiking activity in detailed models of large-scale cortical microcircuits","year":2025,"lang":"en","type":"preprint","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Addiction and Mental Health","funders":"","keywords":"Feature (linguistics); Measure (data warehouse); Noise (video); Artificial neural network; Pattern recognition (psychology)","score_opus":0.05518819452221349,"score_gpt":0.27212492506940983,"score_spread":0.21693673054719634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6949625336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9540587,0.000028399332,0.031150585,0.00021239121,0.00027923987,0.0006345393,0.0011633206,0.00033147345,0.01214137],"genre_scores_gemma":[0.9988015,0.00008607883,0.00011029601,0.000114522394,0.000055069602,1.332354e-7,0.00027941522,0.00041726252,0.00013570167],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99686956,0.0009706328,0.00038059216,0.00094659586,0.0004072844,0.0004253436],"domain_scores_gemma":[0.9985654,0.00024368717,0.00025729707,0.00058679417,0.00023863523,0.000108237764],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006860781,0.00023634204,0.00038817423,0.00032411734,0.0008400118,0.00038007772,0.0009678305,0.00020611682,0.0008634066],"category_scores_gemma":[0.0016468598,0.00026832172,0.00011414081,0.00052090175,0.00014509207,0.00026276067,0.0036821442,0.0010681466,0.00012562296],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020594154,0.0006342553,0.00009680464,0.00032648747,0.000029821831,0.000028391201,0.0014171308,0.004991563,0.96272224,0.0038014576,0.0008759195,0.02487],"study_design_scores_gemma":[0.0028958085,0.00036166175,0.022164958,0.0012487466,0.00011615755,0.000046473782,0.00044547333,0.6596721,0.2702758,0.018152159,0.023211973,0.001408713],"about_ca_topic_score_codex":0.000095483876,"about_ca_topic_score_gemma":0.00001726977,"teacher_disagreement_score":0.6924464,"about_ca_system_score_codex":0.00025643874,"about_ca_system_score_gemma":0.000016576812,"threshold_uncertainty_score":0.9999769},"labels":[],"label_agreement":null},{"id":"W6957788806","doi":"10.6068/dp14ba8fc4aad89","title":"Most Recent Data (2003). Statistics Canada. CANSIM: Business Performance and Ownership - Current Conditions | Country: Canada | Table: Survey of innovation, selected service industries, business unit success factors | Variable: Low importance, A written knowledge management policy or strategy, or a knowledge management officer, Environmental consulting servicesá, Innovative business units | Units: %, 2003. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-021.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Official statistics; Unit (ring theory); Census; Business statistics; Publication; Service (business); Gross domestic product; Descriptive statistics","score_opus":0.06629459074830259,"score_gpt":0.27805207411973587,"score_spread":0.2117574833714333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6957788806","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000484333,0.00031858325,0.00001793275,0.0000074966706,0.001111453,0.0018507667,0.9952264,0.00007758699,0.0013413839],"genre_scores_gemma":[0.00027436376,0.0036645662,0.000032874006,0.00030914624,0.00012613082,0.000044251814,0.99237967,0.00022557376,0.002943421],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9935873,0.00066655653,0.0017035736,0.0019010392,0.0011374555,0.0010040797],"domain_scores_gemma":[0.9717875,0.0006518172,0.0018512463,0.0028076994,0.022558324,0.00034339505],"candidate_categories":["metaepi_narrow","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.00084175303,0.0010918339,0.0010681316,0.00049118523,0.0004075955,0.00039343018,0.0031817018,0.00037476167,0.0007728829],"category_scores_gemma":[0.004451836,0.0009326924,3.667697e-8,0.09618078,0.00037514593,0.0009120369,0.002762113,0.00090807775,0.000010636877],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035629034,0.0003695955,0.00049354456,0.004158423,0.00026114163,0.00017692357,0.0000040892733,0.00007039478,0.000009558963,0.0007959772,0.9924012,0.0009028618],"study_design_scores_gemma":[0.0016602703,0.000048951977,0.002380649,0.00032703162,0.000306098,0.00006972927,0.0004285686,0.007764217,2.9220175e-7,3.8538158e-8,0.98591596,0.0010982063],"about_ca_topic_score_codex":0.99117595,"about_ca_topic_score_gemma":0.9942305,"teacher_disagreement_score":0.10015439,"about_ca_system_score_codex":0.0005575375,"about_ca_system_score_gemma":0.10071193,"threshold_uncertainty_score":0.99931234},"labels":[],"label_agreement":null},{"id":"W6959246268","doi":"10.7939/r3-9zr2-1082","title":"Exploration for unconformity type uranium deposits with audio-magnetotelluric data: a case study from the McArthur River mine, Saskatchewan, Canada","year":2007,"lang":"en","type":"dissertation","venue":"University of Alberta Library","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unconformity; Uranium ore; Lode; Uranium; Natural (archaeology); Sedimentary rock; Sequence (biology); Proterozoic","score_opus":0.0226369711955124,"score_gpt":0.21671474408226182,"score_spread":0.19407777288674943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6959246268","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964678,0.000031868894,0.00011858083,0.00020821337,0.0006252307,0.001078577,0.0002737556,0.000026429578,0.001169542],"genre_scores_gemma":[0.95533895,0.000021547536,0.00023724149,0.00025782987,0.000104206956,9.699053e-7,0.0039286627,0.000038664293,0.04007191],"study_design_codex":"not_applicable","study_design_gemma":"qualitative","domain_scores_codex":[0.9985503,0.00008962115,0.00020475668,0.0006088561,0.0003314847,0.000214998],"domain_scores_gemma":[0.9978919,0.00095707533,0.00033298935,0.0006475728,0.00008051013,0.000089974776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000056217657,0.00026538648,0.0002812976,0.00008069621,0.00040553132,0.000052119958,0.00066243904,0.0001312653,0.000053112006],"category_scores_gemma":[0.000054174896,0.00021899483,0.00005395779,0.00040614215,0.000066315326,0.0013885202,0.00012250914,0.00023919909,0.0000032814294],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.062071044,0.0053839837,0.079066,0.0021335778,0.0030063482,0.03897316,0.3274138,0.005252657,0.016225772,0.001096527,0.37551326,0.08386386],"study_design_scores_gemma":[0.015674599,0.0075276685,0.060189288,0.000777146,0.004929306,0.0010813408,0.7364499,0.02652028,0.022730427,0.000401114,0.11837293,0.0053459764],"about_ca_topic_score_codex":0.78244895,"about_ca_topic_score_gemma":0.99175143,"teacher_disagreement_score":0.4090361,"about_ca_system_score_codex":0.000044426277,"about_ca_system_score_gemma":0.0009466952,"threshold_uncertainty_score":0.893035},"labels":[],"label_agreement":null},{"id":"W6981908027","doi":"","title":"2017 01 13 Francois Olivier Roberge parle des Qualifications Canadienne de patinage de vitesse de courte piste","year":2017,"lang":"fr","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Range (aeronautics); Statistical analysis; Selection (genetic algorithm); Research methodology","score_opus":0.010990233307863554,"score_gpt":0.20496392080551795,"score_spread":0.1939736874976544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6981908027","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025638314,0.00033146655,0.00004512156,0.00072915235,0.000763686,0.0006117556,0.0006442848,0.00009360685,0.9711426],"genre_scores_gemma":[0.058443993,0.0013871943,0.0012954151,0.00095538987,0.0002580182,0.000063925334,0.00010342644,0.0001098495,0.93738276],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967159,0.00038467074,0.0008340302,0.00046279156,0.00037838193,0.0012242369],"domain_scores_gemma":[0.99635965,0.00049709785,0.0013671571,0.0009494178,0.00025579424,0.00057086936],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009524513,0.00056497735,0.0005634705,0.00012351056,0.0008612732,0.00029952597,0.00090440136,0.0005764391,0.15321265],"category_scores_gemma":[0.0018590244,0.0006090825,0.00028265314,0.000021539276,0.00067477557,0.0000025267934,0.00013726279,0.000586221,0.0048450325],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009034809,0.00014219337,0.0001473461,0.00082357146,0.00004852535,0.000121512145,0.0012346393,0.0028182943,0.0003163792,0.00046886434,0.984971,0.00881735],"study_design_scores_gemma":[0.00054852996,0.00020616173,0.0014656238,0.00057710864,0.00012467761,0.00048800546,0.00013294749,0.0045672203,0.0001784042,0.00014068035,0.99096656,0.0006040785],"about_ca_topic_score_codex":0.08639033,"about_ca_topic_score_gemma":0.1574249,"teacher_disagreement_score":0.14836763,"about_ca_system_score_codex":0.00062966265,"about_ca_system_score_gemma":0.0003104635,"threshold_uncertainty_score":0.99963605},"labels":[],"label_agreement":null},{"id":"W6986772367","doi":"","title":"A Refined Spatiotemporal Analysis of Extracellular Waveforms From Neurons Within the Lateral Intraparietal Area of the Macaque Posterior Parietal Cortex","year":2021,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Spike train; Spike (software development); Waveform; Electrophysiology; Context (archaeology)","score_opus":0.00908999301226655,"score_gpt":0.18672641880771745,"score_spread":0.17763642579545091,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6986772367","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9908545,0.000011126329,0.000025336501,0.0062888255,0.00075703015,0.0003901158,0.00083193794,0.000055673125,0.00078544446],"genre_scores_gemma":[0.93939877,0.0000447205,0.00006583685,0.00016637803,0.000029431816,0.000001246316,0.0016864196,0.000039884315,0.058567286],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99765384,0.00038269727,0.00045076382,0.00069990975,0.0005504943,0.00026228259],"domain_scores_gemma":[0.9977334,0.00022580242,0.0010492385,0.00081613235,0.00007928389,0.00009610516],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000047097357,0.00038877505,0.0006660214,0.00033307003,0.00029631087,0.00010885971,0.0008677349,0.00031688449,0.00031995663],"category_scores_gemma":[0.00009228789,0.00027088897,0.00070616516,0.0018854947,0.00027075643,0.0006694567,0.0002747231,0.00068252307,0.0000022444176],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011565702,0.002298149,0.12876791,0.0011323922,0.007265008,0.002203546,0.024346247,0.005267812,0.76622635,0.03338451,0.014576523,0.0029658494],"study_design_scores_gemma":[0.001474242,0.00056064763,0.5679771,0.00039501142,0.0051782075,0.00000406609,0.0054779705,0.010288517,0.40236118,0.0006895027,0.004190168,0.0014034245],"about_ca_topic_score_codex":0.0059847846,"about_ca_topic_score_gemma":0.0016150402,"teacher_disagreement_score":0.43920913,"about_ca_system_score_codex":0.00004536095,"about_ca_system_score_gemma":0.00033234406,"threshold_uncertainty_score":0.9999743},"labels":[],"label_agreement":null},{"id":"W6991290190","doi":"","title":"Gamma power in Pakistani children: Links to executive function and verbal ability","year":2017,"lang":"en","type":"article","venue":"eCommons - AKU (Aga Khan University)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Grand Challenges Canada","keywords":"Electroencephalography; Cognition; Disadvantaged; Executive functions; Power (physics); Brain function; Neural correlates of consciousness; Elementary cognitive task; Function (biology)","score_opus":0.01604335586407562,"score_gpt":0.2269390213205608,"score_spread":0.21089566545648517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6991290190","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9812167,0.0000033564427,0.00017640486,0.0010758071,0.0004168025,0.00029405588,0.00004889913,0.000056619272,0.016711336],"genre_scores_gemma":[0.9980969,0.000011165479,0.000024693112,0.000274545,0.000031659663,7.671662e-7,0.0000043337213,0.0000111867075,0.0015447921],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987952,0.00011127012,0.00012409988,0.00055791624,0.00013419264,0.00027731448],"domain_scores_gemma":[0.9991161,0.000092407856,0.000102339334,0.00050875323,0.000028376462,0.00015198042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013167459,0.0001622419,0.00017134701,0.00024465876,0.00062439323,0.00013309414,0.0003577287,0.00014076989,0.00005344473],"category_scores_gemma":[0.00015331739,0.00017876037,0.00006047889,0.00024812715,0.00016754141,0.00049833715,0.000347698,0.00036534207,0.00003692769],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003590444,0.0011472043,0.7351534,0.000041559346,0.00006118891,0.0005865566,0.0025823114,0.0002352191,0.13828276,0.101973705,0.0029170108,0.013428658],"study_design_scores_gemma":[0.001148734,0.0004854265,0.98383,0.00002531452,0.000017690616,0.000012836761,0.00026983925,0.0003325832,0.0018354837,0.0010294145,0.010686298,0.00032642664],"about_ca_topic_score_codex":0.00023880188,"about_ca_topic_score_gemma":0.0009696127,"teacher_disagreement_score":0.24867657,"about_ca_system_score_codex":0.0001511326,"about_ca_system_score_gemma":0.000028076392,"threshold_uncertainty_score":0.7289636},"labels":[],"label_agreement":null},{"id":"W6994381006","doi":"","title":"New Books","year":2018,"lang":"fr","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Volume (thermodynamics); Government (linguistics); Subject (documents); Exposition (narrative); Set (abstract data type)","score_opus":0.02803799123007703,"score_gpt":0.23170815377102305,"score_spread":0.20367016254094603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6994381006","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032335546,0.000005560225,0.006016271,0.0026144236,0.0061686975,0.00062725967,0.00006978868,0.0002816754,0.95188075],"genre_scores_gemma":[0.52257687,0.3008982,0.0057907654,0.0069053657,0.0076589608,0.0000029274215,0.000037182686,0.00029574652,0.155834],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99759966,0.00025283138,0.0002011411,0.0008735274,0.0003391183,0.00073370076],"domain_scores_gemma":[0.998735,0.00014540309,0.00016649584,0.0005508016,0.00013279947,0.0002694826],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00012818567,0.0003551154,0.00026383493,0.006571976,0.00048978557,0.0001586631,0.00063952914,0.00023731175,0.000620346],"category_scores_gemma":[0.00014226188,0.0004116691,0.00020290597,0.009070205,0.00042967786,0.0008416779,0.0003874884,0.0004070748,0.00093607075],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00094823376,0.0006279126,0.00040945542,0.00019460589,0.00012326887,0.002181451,0.0063899052,0.000023608874,0.0060903435,0.1953895,0.04391396,0.7437078],"study_design_scores_gemma":[0.00095230335,0.00079933973,0.00006777855,0.00008685454,0.00009836442,0.000086718144,0.000105359606,0.0023541888,0.009186594,0.00001297163,0.9858033,0.00044623087],"about_ca_topic_score_codex":0.075334236,"about_ca_topic_score_gemma":0.01601413,"teacher_disagreement_score":0.94188935,"about_ca_system_score_codex":0.00035072287,"about_ca_system_score_gemma":0.00080578437,"threshold_uncertainty_score":0.9998418},"labels":[],"label_agreement":null},{"id":"W6995148779","doi":"","title":"Chester Brown","year":2025,"lang":"en","type":"book","venue":"Edinburgh Napier Research Repository (Edinburgh Napier University)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Comics; Biography; Persona; Comic strip; Politics; Scope (computer science); Performance art","score_opus":0.05243575067637904,"score_gpt":0.2799761532523571,"score_spread":0.22754040257597805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6995148779","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027134966,0.0005039702,0.00013240667,0.001036059,0.007389156,0.0018393556,0.00012837337,0.0005509934,0.9857062],"genre_scores_gemma":[0.0055013536,0.0009289593,0.000048082315,0.00040579826,0.0032323515,0.00002394443,0.00008863298,0.00013887112,0.989632],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98904413,0.00074738706,0.00095557177,0.0033135177,0.0037172837,0.0022221182],"domain_scores_gemma":[0.992505,0.0025800937,0.0005360968,0.0022166842,0.001172523,0.0009896021],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0015497975,0.0012185845,0.0012572189,0.0046686484,0.002345949,0.00074862293,0.0031679012,0.0017116402,0.001977075],"category_scores_gemma":[0.0011305752,0.0012984847,0.00093123765,0.0030012098,0.0017923027,0.0011297509,0.002166044,0.005231139,0.00011919331],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068886013,0.00030959485,0.00008091177,0.0001581543,0.00024031574,0.0053407596,0.0003625612,0.000034447065,0.033033196,0.009507613,0.9468372,0.0034063705],"study_design_scores_gemma":[0.0013145447,0.00046778246,0.00001585232,0.000699603,0.00017456141,0.00013638538,0.00011951921,0.00047212452,0.010499453,0.0028153004,0.98209906,0.0011858172],"about_ca_topic_score_codex":0.000093203,"about_ca_topic_score_gemma":0.000011581375,"teacher_disagreement_score":0.03526184,"about_ca_system_score_codex":0.003175094,"about_ca_system_score_gemma":0.0032648603,"threshold_uncertainty_score":0.9995844},"labels":[],"label_agreement":null},{"id":"W7005832195","doi":"","title":"Similarity-Based Heterogeneous Neurons in the Context of General Observational Models","year":2002,"lang":"en","type":"article","venue":"NPARC","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Observational study; Context (archaeology); Information processing; Function (biology); Fuzzy logic; Data processing","score_opus":0.11959329284498882,"score_gpt":0.2641673273665716,"score_spread":0.1445740345215828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7005832195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99201715,0.0000047326394,0.00045842692,0.0041327244,0.00012160006,0.00015362448,0.000034125227,0.000015468811,0.0030621313],"genre_scores_gemma":[0.9894495,0.00000700405,0.00013742686,0.010213399,0.000026608983,0.000012947925,0.0000036402482,0.000006807727,0.00014267354],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916893,0.00012355973,0.00015773483,0.00017956097,0.00023529367,0.00013489056],"domain_scores_gemma":[0.9995148,0.00022174012,0.0000484329,0.00017494749,0.000019612622,0.000020438309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008391048,0.00007150802,0.00008172367,0.000041272706,0.00006110237,0.00001966526,0.00019537323,0.000029212988,0.0001186661],"category_scores_gemma":[0.00007996715,0.000053208445,0.000051274143,0.00017719674,0.00006107298,0.00008122579,0.000017801198,0.000112285634,0.0000062243694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003202509,0.00026976847,0.00052209187,0.00001135095,0.0000013942761,0.000034800072,0.0001997073,0.06506221,0.89251,0.036853526,0.0015652822,0.0029378282],"study_design_scores_gemma":[0.00026291457,0.00007310348,0.0006964892,0.000003134705,0.0000022142892,0.000009318977,0.0000046491305,0.960222,0.029756201,0.008158529,0.0007502188,0.000061195366],"about_ca_topic_score_codex":0.000010206945,"about_ca_topic_score_gemma":0.000018306484,"teacher_disagreement_score":0.89515984,"about_ca_system_score_codex":0.000011725711,"about_ca_system_score_gemma":0.000009365958,"threshold_uncertainty_score":0.21697775},"labels":[],"label_agreement":null},{"id":"W7014572914","doi":"","title":"Postnatal development of Purkinje cell firing properties","year":2017,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Purkinje cell; Somatic cell; Intracellular; Dendritic spike; Neuronal firing; Cerebellum; Spike (software development)","score_opus":0.03706168281989649,"score_gpt":0.2418660622724759,"score_spread":0.2048043794525794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7014572914","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90864396,0.00011483632,7.937996e-8,0.0000070103674,0.0021504574,0.0006115491,0.00032617568,0.0001404392,0.08800546],"genre_scores_gemma":[0.9689346,0.00008158411,0.00022011524,0.00009702573,0.000037494403,0.00007815553,0.00022358006,0.00015187681,0.030175572],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99603564,0.00017079487,0.00094895915,0.0012066943,0.0009915989,0.0006463015],"domain_scores_gemma":[0.99743813,0.00011956956,0.0011316307,0.0008536917,0.00025004265,0.00020695457],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00045914523,0.0006835103,0.000649794,0.00035351352,0.0019980266,0.00016457254,0.0011432505,0.0005066579,0.00011311014],"category_scores_gemma":[0.0010192095,0.00064027176,0.00028023333,0.00022213811,0.00009458509,0.00083307014,0.00020864386,0.0010850608,0.00022685021],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018435538,0.00014230967,0.000006423396,0.00055712456,0.000019697776,0.00005776801,0.000017683593,0.0000116303845,0.88473463,0.0021535861,0.0000016807677,0.112113096],"study_design_scores_gemma":[0.00044075673,0.00011676302,0.00081261987,0.00050573295,0.00004839541,0.00002622715,0.00006589297,0.000052674906,0.9780197,0.0009819766,0.018187504,0.0007417512],"about_ca_topic_score_codex":0.00006034818,"about_ca_topic_score_gemma":0.00031668087,"teacher_disagreement_score":0.111371346,"about_ca_system_score_codex":0.0003257026,"about_ca_system_score_gemma":0.00012927614,"threshold_uncertainty_score":0.9996049},"labels":[],"label_agreement":null},{"id":"W7019415161","doi":"","title":"General Instruction Following in a Large-Scale Biologically Plausible Brain Model","year":2013,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Innovation Trust","keywords":"Set (abstract data type); Process (computing); Neuron; Biological neuron model; Model system; Neuronal firing; Human brain; Premovement neuronal activity","score_opus":0.018705336107942533,"score_gpt":0.21980434019319656,"score_spread":0.20109900408525402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7019415161","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98842657,0.000010267177,0.00081047695,0.0014968468,0.00021726263,0.00044600904,0.0004948659,0.00034879654,0.0077489335],"genre_scores_gemma":[0.99150574,0.000005813516,0.0015744974,0.0042516673,0.000092860224,0.00006844014,0.00016560267,0.000057041623,0.0022783624],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99767345,0.000114909155,0.00047811688,0.00074072037,0.00032661285,0.0006662066],"domain_scores_gemma":[0.99923587,0.0001544921,0.00011134509,0.00025338613,0.000014308137,0.00023057545],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014534124,0.00030361983,0.00027455037,0.00024259067,0.00018677952,0.0012029951,0.00040996767,0.00020580392,0.0003322197],"category_scores_gemma":[0.00045789368,0.00025635507,0.00020563,0.00072763354,0.000061009632,0.0056195334,0.00029333498,0.0005233535,0.0012528955],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027485754,0.00092994387,0.39543837,0.000062071325,0.000019808242,0.00011188405,0.00007846497,0.00420469,0.5566687,0.018208195,0.004403702,0.019599292],"study_design_scores_gemma":[0.004380398,0.00045838047,0.043660916,0.00014664,0.000014000565,0.00008552488,0.00006925073,0.6967412,0.044726014,0.17930348,0.028556358,0.0018578325],"about_ca_topic_score_codex":0.0000054003476,"about_ca_topic_score_gemma":0.0000049707614,"teacher_disagreement_score":0.69253653,"about_ca_system_score_codex":0.00004951034,"about_ca_system_score_gemma":0.00005724236,"threshold_uncertainty_score":0.99998885},"labels":[],"label_agreement":null},{"id":"W7021777911","doi":"","title":"VBR Podcast #36","year":2007,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Chorus; Historical record; Term (time)","score_opus":0.010163668877356698,"score_gpt":0.19959550181652294,"score_spread":0.18943183293916624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7021777911","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00007116981,0.000058817113,0.0000012746191,0.0001418374,0.00086905336,0.00037362767,0.00014764907,0.0002581939,0.9980784],"genre_scores_gemma":[0.0009554459,0.00019032216,0.00023067159,0.001224851,0.00025333985,0.0000063191774,0.000063681684,0.00014215417,0.9969332],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99823684,0.00006062721,0.0005409091,0.00028773988,0.000519817,0.00035405633],"domain_scores_gemma":[0.9987385,0.00015877139,0.0005499289,0.0003664964,0.00006335115,0.00012291632],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00017726235,0.00033060167,0.00033443517,0.0001717239,0.00007724286,0.00006193369,0.00034342596,0.00037790783,0.38195387],"category_scores_gemma":[0.00024920193,0.0003131582,0.00016321895,0.000016547296,0.00015035569,1.7785487e-7,0.00009484753,0.00032525836,0.025917564],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000074359654,0.00003667496,4.9897415e-7,0.00018189878,0.000008809026,0.00003668716,0.000021492517,0.000056501252,0.000024838073,0.00019335562,0.995652,0.0037128609],"study_design_scores_gemma":[0.00031805923,0.00012488564,0.0000037837842,0.0001168862,0.000019871417,0.00013066718,0.00001532412,0.00006220517,0.00018373337,0.000015977961,0.9986928,0.00031580255],"about_ca_topic_score_codex":0.0010524672,"about_ca_topic_score_gemma":0.00032841729,"teacher_disagreement_score":0.3560363,"about_ca_system_score_codex":0.000041813946,"about_ca_system_score_gemma":0.000019553501,"threshold_uncertainty_score":0.99993205},"labels":[],"label_agreement":null},{"id":"W7022345559","doi":"","title":"Youngstown, Ohio","year":2009,"lang":"en","type":"other","venue":"OhioLink ETD Center (Ohio Library and Information Network)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"","score_opus":0.010250516893108387,"score_gpt":0.20017960703090742,"score_spread":0.18992909013779904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7022345559","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00002247446,0.00022417247,0.00027461033,0.0011291172,0.0017727012,0.0005067285,0.00020507706,0.000698042,0.9951671],"genre_scores_gemma":[0.010027761,0.016202949,0.0005420517,0.05742125,0.004255729,0.00005225625,0.0025282034,0.00045417267,0.90851563],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99811167,0.0001093938,0.0005422941,0.00039968788,0.0002919616,0.00054502476],"domain_scores_gemma":[0.9988442,0.000064166015,0.00048736474,0.00039165767,0.000008669268,0.00020394313],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007503496,0.00046326465,0.00038178425,0.00031672674,0.00019780909,0.0004343,0.00035260557,0.00042389063,0.0022782716],"category_scores_gemma":[0.000019683512,0.00040668843,0.00013407224,0.0004143928,0.00009258739,0.0051094224,0.00018152299,0.0005084216,0.0003342302],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000467024,0.000026282944,0.000012548895,0.00006534225,0.000009214786,0.0000053445347,0.000025765075,0.000046239227,0.000020797239,0.3307479,0.65442026,0.014573616],"study_design_scores_gemma":[0.0005469673,0.00010133349,0.00017042241,0.0002705383,0.000014044211,0.00004594531,9.3189806e-7,0.0022017832,0.00007507994,0.0008583819,0.995273,0.00044157222],"about_ca_topic_score_codex":8.245846e-8,"about_ca_topic_score_gemma":7.6932736e-7,"teacher_disagreement_score":0.34085274,"about_ca_system_score_codex":0.000011290483,"about_ca_system_score_gemma":0.00003712042,"threshold_uncertainty_score":0.9998385},"labels":[],"label_agreement":null},{"id":"W7030759680","doi":"","title":"K","year":2022,"lang":"ar","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Islam; Brother; State (computer science); Supporter","score_opus":0.0083420418287107,"score_gpt":0.18609755775172585,"score_spread":0.17775551592301514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7030759680","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005807993,0.00012263954,1.2260529e-7,0.000458183,0.0017265452,0.00068721856,0.0004057555,0.00014864169,0.9958701],"genre_scores_gemma":[0.0032288549,0.00045484985,0.0001088449,0.0016724205,0.00021522114,0.0000300641,0.00017549729,0.0001320225,0.9939822],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99678147,0.000276384,0.0009884738,0.0004945506,0.0009366549,0.0005224492],"domain_scores_gemma":[0.99769497,0.00033021378,0.0010381314,0.000639932,0.00011418796,0.00018254836],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00035826885,0.00052744034,0.0005570686,0.00013661396,0.00033574345,0.00012599009,0.0007183941,0.00034896727,0.9461633],"category_scores_gemma":[0.00044804486,0.0005437502,0.00033919612,0.000021909715,0.00024638764,2.4161292e-7,0.0003769905,0.0007249422,0.11131413],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014985939,0.00008586385,0.0000028218474,0.00038591994,0.000029445442,0.00006140051,0.00013680966,0.0015703317,0.000016501852,0.00019947201,0.99561393,0.0017476158],"study_design_scores_gemma":[0.0005767374,0.00048684172,0.000010901132,0.000087748005,0.00006447977,0.00019973142,0.0001445517,0.00024679763,0.00004272633,0.000029520063,0.9975767,0.0005332225],"about_ca_topic_score_codex":0.0016145537,"about_ca_topic_score_gemma":0.00032484517,"teacher_disagreement_score":0.8348492,"about_ca_system_score_codex":0.00015430056,"about_ca_system_score_gemma":0.0000550546,"threshold_uncertainty_score":0.9997014},"labels":[],"label_agreement":null},{"id":"W7034547286","doi":"","title":"The Urinary Protein-to-Creatinine Ratio in Canadian Women at Risk of Preeclampsia: Does the Time of Day of Testing Matter?","year":2014,"lang":"en","type":"article","venue":"Figshare","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Morning; Likelihood ratios in diagnostic testing; Confidence interval; Predictive value; Proteinuria; Urine; Ambulatory; Prospective cohort study","score_opus":0.015462471668167044,"score_gpt":0.21555663990003893,"score_spread":0.20009416823187187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7034547286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97980666,0.0000039762044,2.9935262e-7,0.00032089432,0.000021510234,0.0005415469,0.01633054,0.000006542704,0.002968005],"genre_scores_gemma":[0.9981564,2.6600716e-7,0.000011494414,0.00011381627,0.00001978266,0.00012349854,0.00018999186,0.000009539487,0.0013751733],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999111,0.00017655983,0.00021222972,0.00015432342,0.00014233834,0.0002035226],"domain_scores_gemma":[0.99857277,0.00083346426,0.000209483,0.00027741943,0.000049743063,0.000057105797],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00022048921,0.000076282464,0.000114772476,0.00005029632,0.00012235391,0.000013467608,0.00027575754,0.000028320326,0.003936523],"category_scores_gemma":[0.004434198,0.000040004816,0.000023770868,0.00025811172,0.000023851615,0.00004652414,0.00010991023,0.00008898444,0.000088949266],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017990572,0.00014651718,0.046553534,0.0006265296,0.000021428257,0.000013274609,0.0034815436,0.0020993948,0.91632426,0.00020906376,0.020633224,0.00971134],"study_design_scores_gemma":[0.0007608317,0.0016659496,0.56416076,0.0023897267,0.00001383961,0.000023518987,0.00016093988,0.060620993,0.35267505,0.0010340948,0.016055245,0.00043903492],"about_ca_topic_score_codex":0.0025246502,"about_ca_topic_score_gemma":0.005268326,"teacher_disagreement_score":0.5636492,"about_ca_system_score_codex":0.000049543087,"about_ca_system_score_gemma":0.00005694401,"threshold_uncertainty_score":0.996974},"labels":[],"label_agreement":null},{"id":"W7036226964","doi":"","title":"Bone Growth, Maintenance and Loss in the Neolithic Community of ÃatalhÃ¶yÃ¼k, Turkey: Preliminary Results","year":2011,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; University of Toronto","keywords":"Population; Indigenous; Work (physics); Incidence (geometry)","score_opus":0.03447807486449281,"score_gpt":0.21616630157425668,"score_spread":0.18168822670976387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7036226964","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9790829,0.000047448415,0.000017683791,0.0010446716,0.000087469634,0.00032782689,0.0016029248,0.00008528594,0.017703807],"genre_scores_gemma":[0.99771225,0.00004787125,0.0000795205,0.001674673,0.000027690989,0.000015773292,0.00009398329,0.000034098466,0.0003141516],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977823,0.00057518936,0.000560548,0.0003828838,0.00032066833,0.00037840087],"domain_scores_gemma":[0.998201,0.0008636029,0.0002254773,0.00056637416,0.000027428203,0.000116107454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006080575,0.00024175196,0.00025273298,0.00014272623,0.00019717556,0.0002815327,0.00073076243,0.000118719516,0.000018960684],"category_scores_gemma":[0.0017660311,0.00017044408,0.00008822092,0.0005873915,0.0004422114,0.0025496134,0.00043260507,0.0009748879,0.000072951254],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.032040756,0.009274981,0.7138235,0.0020697305,0.00008603742,0.00321125,0.012541626,0.000043848217,0.03467198,0.1548736,0.012271247,0.025091443],"study_design_scores_gemma":[0.005204695,0.0038050378,0.60607666,0.0008408229,0.000039395345,0.0010715842,0.001122218,0.0013086782,0.07471228,0.28898963,0.015225238,0.0016037554],"about_ca_topic_score_codex":0.000054539414,"about_ca_topic_score_gemma":0.0000043089904,"teacher_disagreement_score":0.13411602,"about_ca_system_score_codex":0.000013549835,"about_ca_system_score_gemma":0.000034286502,"threshold_uncertainty_score":0.6950508},"labels":[],"label_agreement":null},{"id":"W7037238186","doi":"","title":"Desenvolvimento, inovação e aprendizagem : avaliação da trajetória do Grande ABC","year":2017,"lang":"pt","type":"article","venue":"Americanae (AECID Library)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Order (exchange); Public policy; Regional development; Path (computing); Regional policy","score_opus":0.04085032279947082,"score_gpt":0.27862198489412693,"score_spread":0.2377716620946561,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7037238186","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96055585,0.00045365465,0.00078412506,0.007883919,0.0068834764,0.0011234443,0.00038475258,0.00050304894,0.021427747],"genre_scores_gemma":[0.9506554,0.0010663429,0.0003449586,0.0037888167,0.0006109401,0.000055083052,0.00006478422,0.0002187842,0.04319487],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99436593,0.00039769494,0.00089321,0.0019392987,0.0009721532,0.0014317111],"domain_scores_gemma":[0.99472374,0.00033564938,0.0012682794,0.0028803092,0.000048570393,0.00074342865],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00024647336,0.0009167531,0.00095370197,0.00041761168,0.002154329,0.0016781717,0.002850101,0.0002690282,0.0032613263],"category_scores_gemma":[0.00039723545,0.00088773976,0.00052346825,0.000821947,0.001352324,0.003953794,0.001110285,0.00085145293,0.0009861678],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012110744,0.0021789924,0.33655226,0.0003372719,0.00048351867,0.0023467662,0.0019267519,0.00015878842,0.111218534,0.02754806,0.1987729,0.31726506],"study_design_scores_gemma":[0.0070180898,0.0028812904,0.84046793,0.00050273526,0.0005633713,0.00015974643,0.00086413557,0.020097777,0.044781126,0.005217297,0.07286315,0.004583355],"about_ca_topic_score_codex":0.004901711,"about_ca_topic_score_gemma":0.000059300808,"teacher_disagreement_score":0.50391567,"about_ca_system_score_codex":0.000088595334,"about_ca_system_score_gemma":0.00022722046,"threshold_uncertainty_score":0.9997917},"labels":[],"label_agreement":null},{"id":"W7038107435","doi":"","title":"Google's parent company revealed its plan for a high-tech neighborhood in Toronto - and it could be the world's largest tall timber project","year":2018,"lang":"en","type":"other","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Plan (archaeology); Work (physics)","score_opus":0.05566337657875899,"score_gpt":0.3146647569749648,"score_spread":0.25900138039620585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7038107435","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0035764058,0.00012916425,0.00011648672,0.005826637,0.0017747434,0.004782207,0.00072612806,0.00024642743,0.9828218],"genre_scores_gemma":[0.092526674,0.00021570109,0.00013773282,0.0041498276,0.00049729284,0.00032928554,0.00006422283,0.00024872195,0.90183055],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981584,0.00009666771,0.00029593855,0.00074750255,0.00028614394,0.0004153751],"domain_scores_gemma":[0.9988872,0.00024796985,0.0002665625,0.0004995247,0.000034485685,0.000064257976],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00020415722,0.000369554,0.00038975052,0.00010731259,0.000174743,0.00019436923,0.00043348104,0.00020506675,0.0019557858],"category_scores_gemma":[0.00015881394,0.00023523295,0.000066854336,0.000139337,0.00011964876,0.000110626315,0.000197017,0.00019758873,0.000035423243],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000104767605,0.00014198276,0.0003523179,0.000112761285,0.000016461638,0.000009148299,0.00003780568,7.006599e-7,0.0014945631,0.014374502,0.9831524,0.00020260744],"study_design_scores_gemma":[0.0015099932,0.00036711444,0.0014209147,0.0002744604,0.00004749979,0.000016215938,0.00006294179,0.0036739556,0.00036878866,0.00027529043,0.99137825,0.00060460146],"about_ca_topic_score_codex":0.0029364713,"about_ca_topic_score_gemma":0.14430867,"teacher_disagreement_score":0.1413722,"about_ca_system_score_codex":0.00012656568,"about_ca_system_score_gemma":0.000049941907,"threshold_uncertainty_score":0.99895656},"labels":[],"label_agreement":null},{"id":"W7039800737","doi":"","title":"Neural Field Coding of Short Term Memory","year":2014,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Stimulus (psychology); Perception; Sensory system; Population; Prefrontal cortex; Cognition; Visual cortex; Attractor; Predictive coding; Sensory memory","score_opus":0.020551843006975226,"score_gpt":0.22443468199956432,"score_spread":0.20388283899258908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7039800737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9565113,0.000010070517,0.00033855415,0.0006215807,0.000360672,0.0001719645,0.00030376617,0.0002302044,0.041451886],"genre_scores_gemma":[0.9967452,0.0000066276975,0.00006232844,0.0020513711,0.00015026086,0.0000069376297,0.000054204134,0.000045471123,0.00087756227],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983864,0.000093209834,0.00038484082,0.0004536649,0.00033596493,0.00034590747],"domain_scores_gemma":[0.9988034,0.00053862203,0.000101919424,0.0003629505,0.000016163738,0.00017693895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000114863265,0.00021808082,0.00024032877,0.00013030363,0.000119765544,0.00047713998,0.00045249928,0.00010375745,0.00022372828],"category_scores_gemma":[0.0008892499,0.00018998468,0.00016350794,0.00032169922,0.00009127168,0.0022904375,0.00022973177,0.00035136892,0.00024726463],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003797623,0.00037304955,0.16437373,0.00023460278,0.000018349969,0.00006514641,0.00003181544,0.00007297827,0.6681928,0.015806237,0.0032524683,0.14719908],"study_design_scores_gemma":[0.000616891,0.00057273597,0.010106285,0.00012085217,0.000019985986,0.000062545245,0.0000129372165,0.0094832685,0.94533694,0.009157601,0.023795227,0.0007147422],"about_ca_topic_score_codex":7.9727823e-7,"about_ca_topic_score_gemma":2.7555444e-7,"teacher_disagreement_score":0.27714413,"about_ca_system_score_codex":0.000010064268,"about_ca_system_score_gemma":0.000019606852,"threshold_uncertainty_score":0.77473503},"labels":[],"label_agreement":null},{"id":"W7042538003","doi":"","title":"Pedagogy of Hope for Global Social Justice : Sustainable Futures for People and the Planet","year":2023,"lang":"en","type":"book","venue":"BiblioBoard Library Catalog (Open Research Library)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of Ghana; China Scholarship Council; Cape Peninsula University of Technology; National Research Foundation; University of Pretoria; University of Sussex","keywords":"Global citizenship education; Global citizenship; Global education; Global justice; Global challenges; Global warming; Social justice; Global South; Futures contract","score_opus":0.07060869158406295,"score_gpt":0.3623219036063618,"score_spread":0.29171321202229883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7042538003","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019113806,0.0026116092,0.00014480195,0.07576597,0.0027344527,0.029770141,0.04003506,0.0008870788,0.8461395],"genre_scores_gemma":[0.0009304514,0.002721187,0.00021012449,0.0021639152,0.0017456105,0.0013021759,0.007403085,0.0002724299,0.98325104],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9949689,0.0006699309,0.0007071703,0.0013331041,0.0009511408,0.0013697542],"domain_scores_gemma":[0.9928575,0.0056134127,0.00040741992,0.0007235469,0.00012728309,0.00027083297],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0011794498,0.0005214236,0.0010318008,0.0021156282,0.0016941014,0.0025223277,0.0032787463,0.00053264684,0.00023475262],"category_scores_gemma":[0.0009620136,0.00038409416,0.00027672568,0.004335001,0.0011895287,0.0043428093,0.0044928086,0.00080963766,0.00003494131],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002663751,0.00003594214,0.000011300679,0.0013978957,0.000030380124,0.00002801564,0.000068975794,0.0000027321926,0.00003658117,0.41218922,0.58261156,0.00092365814],"study_design_scores_gemma":[0.0026922477,0.00067100744,0.0003472818,0.00006396145,0.00009462529,0.000015800204,0.0003521861,0.00037439584,0.00029077032,0.19917671,0.79551655,0.000404459],"about_ca_topic_score_codex":0.00016624271,"about_ca_topic_score_gemma":0.000049488073,"teacher_disagreement_score":0.21301252,"about_ca_system_score_codex":0.000048201036,"about_ca_system_score_gemma":0.0027421918,"threshold_uncertainty_score":0.9998611},"labels":[],"label_agreement":null},{"id":"W7044060830","doi":"","title":"Using Multi-Compartment Ensemble Modeling as an Investigative Tool of Spatially Distributed Biophysical Balances: Application to Hippocampal Oriens-Lacunosum/Moleculare (O-LM) Cellns","year":2014,"lang":"en","type":"article","venue":"The Mathematics Enthusiast","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; University of Toronto; Emory University","keywords":"Gating; Conductance; Range (aeronautics); Biological neuron model; Ensemble forecasting; Hippocampal formation; Neuroscientist; Channel (broadcasting); Ensemble learning","score_opus":0.05975747177237223,"score_gpt":0.29367931691911714,"score_spread":0.2339218451467449,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7044060830","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5641339,6.0189103e-7,0.43509898,0.000087404944,0.000061674415,0.00043849435,0.000038867307,0.000033047647,0.00010701822],"genre_scores_gemma":[0.9875727,0.000001301838,0.011938128,0.00029413778,0.000064639695,0.000048945894,0.000039073122,0.00002939788,0.000011654886],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982856,0.00016134784,0.00042796083,0.00040822523,0.00042886529,0.00028799125],"domain_scores_gemma":[0.99879664,0.00016175689,0.00025475444,0.0005613897,0.000103091676,0.00012239038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026430207,0.00023053389,0.0002972511,0.000057604535,0.0002173625,0.00007035048,0.0003712858,0.000045904973,0.000008086542],"category_scores_gemma":[0.00034069063,0.00016870201,0.00007955964,0.00036818875,0.00014766246,0.000112620386,0.00013467266,0.00013645757,0.000038933224],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002308803,0.0003006301,0.0000036973386,0.00004926389,0.0000062317263,0.0000011041187,0.007587619,0.10428841,0.8695321,0.017863672,0.00000279361,0.00034138374],"study_design_scores_gemma":[0.00021843017,0.00012629139,0.000017238657,0.000044557317,0.000026586145,0.0000067840597,0.00017258877,0.748986,0.24714239,0.003090111,0.00001844051,0.00015056063],"about_ca_topic_score_codex":0.0000548513,"about_ca_topic_score_gemma":0.000032823657,"teacher_disagreement_score":0.6446976,"about_ca_system_score_codex":0.00006526694,"about_ca_system_score_gemma":0.00004031073,"threshold_uncertainty_score":0.68794686},"labels":[],"label_agreement":null},{"id":"W7067002772","doi":"","title":"A la recherche de la baguette magique","year":2015,"lang":"fr","type":"other","venue":"Bibliothèque et Archives nationales du Québec (Québec government)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"La Cité Collégiale","funders":"","keywords":"Field (mathematics); Context (archaeology); Quality (philosophy); Product (mathematics)","score_opus":0.04622257358543075,"score_gpt":0.2839712665998431,"score_spread":0.23774869301441237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067002772","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047436085,0.002987222,0.0019014055,0.018027104,0.00036861174,0.0006405811,0.00049989444,0.00023483613,0.92790425],"genre_scores_gemma":[0.10283127,0.0030402583,0.003005233,0.0063372697,0.00080054346,0.00021642471,0.000031747302,0.0004818901,0.88325536],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9899307,0.0060716034,0.00069701386,0.0011918282,0.0014194432,0.0006894078],"domain_scores_gemma":[0.93709624,0.06111178,0.00066558656,0.0005948485,0.00006770633,0.00046386424],"candidate_categories":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0029184856,0.0008331766,0.0006088125,0.0010597445,0.00024329641,0.00080478966,0.0012260464,0.0006791895,0.011276167],"category_scores_gemma":[0.033075254,0.00082046964,0.00038330595,0.0013164934,0.0012048824,0.00050147076,0.0006165032,0.0023150572,0.0013032043],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00053153874,0.0013045972,0.013867359,0.0005142704,0.00027177337,0.0004949922,0.0055205296,0.00057379605,0.053226683,0.11417146,0.8030611,0.0064618457],"study_design_scores_gemma":[0.0010874772,0.00020340149,0.017630883,0.00039326196,0.00010350602,0.0005548409,0.000087548295,0.0047002393,0.0010038479,0.0042008935,0.96917826,0.0008558619],"about_ca_topic_score_codex":0.054653298,"about_ca_topic_score_gemma":0.74616325,"teacher_disagreement_score":0.69150996,"about_ca_system_score_codex":0.012809703,"about_ca_system_score_gemma":0.08012947,"threshold_uncertainty_score":0.99998665},"labels":[],"label_agreement":null},{"id":"W7088248912","doi":"10.1136/rapm-00115550-200001000-00014","title":"Epidural Hematoma Following Epidural Analgesia in a Patient Receiving Unfractionated Heparin for Thromboprophylaxis","year":2000,"lang":"en","type":"article","venue":"Regional Anesthesia & Pain Medicine","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St Joseph's Health Centre","funders":"","keywords":"Epidural hematoma; Heparin; Partial thromboplastin time; Hematoma; Catheter; Anticoagulant; Postoperative hematoma","score_opus":0.026863220146679183,"score_gpt":0.26640945547023154,"score_spread":0.23954623532355235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7088248912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92883384,0.00010461548,0.00027841938,0.06983735,0.000046396817,0.0006571581,3.1741018e-7,0.00011587621,0.00012600594],"genre_scores_gemma":[0.962554,0.00009792975,0.00023938976,0.035997458,0.00019683136,0.00012503243,0.00003694683,0.00004252252,0.00070988433],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99703205,0.00049559557,0.00062070834,0.00069457677,0.0006227788,0.0005343105],"domain_scores_gemma":[0.99791247,0.0014331372,0.00017702517,0.0002691151,0.000049261238,0.00015902006],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010489756,0.00031515097,0.0004866986,0.00024767013,0.0002712832,0.000027042604,0.00023126701,0.00012091817,0.00023637724],"category_scores_gemma":[0.00048643604,0.00025020464,0.00020204538,0.00081299216,0.00016743377,0.0002562708,0.0000075468274,0.00025434478,0.000027152952],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0046810606,0.0022416285,0.02809754,0.00071581075,0.00017037525,0.0075905337,0.004413721,0.0044281557,0.41468307,0.026574574,0.06723076,0.43917274],"study_design_scores_gemma":[0.008589236,0.006277076,0.18179716,0.0025819582,0.00013049386,0.005955861,0.0010262787,0.25412485,0.0073839836,0.029639468,0.49998596,0.0025076747],"about_ca_topic_score_codex":0.0002507126,"about_ca_topic_score_gemma":0.00003540352,"teacher_disagreement_score":0.4366651,"about_ca_system_score_codex":0.00016706588,"about_ca_system_score_gemma":0.00005880805,"threshold_uncertainty_score":0.999995},"labels":[],"label_agreement":null},{"id":"W7091521771","doi":"10.48660/25100145","title":"Lecture 3: Gradient Descent Dynamics and the Neural Tangent Kernel","year":2025,"lang":"en","type":"other","venue":"PIRSA","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Gradient descent; Dynamics (music); Artificial neural network; Kernel (algebra); Tangent","score_opus":0.012232715151496135,"score_gpt":0.22634499487478926,"score_spread":0.21411227972329314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7091521771","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0039169295,0.0037063677,0.005308706,0.01724365,0.009034266,0.0028826694,0.0005063624,0.0006664526,0.9567346],"genre_scores_gemma":[0.1562416,0.0018716857,0.00004041958,0.0063187866,0.000394137,0.000055694443,0.000032084692,0.0002259958,0.8348196],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99883467,0.00011719604,0.00014042197,0.00045943705,0.00021093947,0.00023735539],"domain_scores_gemma":[0.9993644,0.00013271732,0.00011991925,0.00031742884,0.000011236199,0.000054343254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008093495,0.00024458807,0.00023293827,0.00010048327,0.00011850123,0.00008882155,0.00023688875,0.00013164777,0.00016963806],"category_scores_gemma":[0.00014186082,0.00014889175,0.000096452524,0.00016443043,0.00020482198,0.000017297001,0.00014838036,0.0003133306,0.000022453756],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004330161,0.0002751053,0.00041673597,0.0005372676,0.000119334094,0.00015644848,0.000318898,0.00022797042,0.002294814,0.31515428,0.48428464,0.19578148],"study_design_scores_gemma":[0.0025731064,0.00014396668,0.0005456812,0.00028258713,0.00022490103,0.00009192225,0.000026955566,0.2240897,0.0004978222,0.006097757,0.76457167,0.00085391896],"about_ca_topic_score_codex":0.00019123845,"about_ca_topic_score_gemma":0.00057832507,"teacher_disagreement_score":0.30905652,"about_ca_system_score_codex":0.00007348934,"about_ca_system_score_gemma":0.000025582978,"threshold_uncertainty_score":0.6071629},"labels":[],"label_agreement":null},{"id":"W7096001884","doi":"","title":"Open Review Commentaries To submit comments: JNL Open Review","year":2012,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quartz; Mode (computer interface); Electrode; Crystal oscillator; Transverse plane; High resolution; Crystal (programming language)","score_opus":0.16088960881571127,"score_gpt":0.39722178801048735,"score_spread":0.2363321791947761,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096001884","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013636907,0.030746179,0.00028908922,0.6934674,0.0020087527,0.01276094,0.000085339256,0.0001453772,0.25913328],"genre_scores_gemma":[0.0071157524,0.05751458,0.00046895343,0.92184937,0.000047339297,0.0002951553,0.000028282268,0.000022953067,0.0126576265],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983824,0.00026033312,0.00038634968,0.00035455212,0.00023589197,0.00038047085],"domain_scores_gemma":[0.9988077,0.00022066923,0.000121022815,0.0005722221,0.00003505106,0.00024330377],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009939205,0.00017660149,0.00041902906,0.000025373667,0.00024622207,0.00031594478,0.001643119,0.000022404212,0.0035941717],"category_scores_gemma":[0.0007147983,0.00012991884,0.00006112976,0.00039529716,0.000032297914,0.0012403927,0.0026469266,0.00012539729,0.0012065583],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010637271,0.00014181832,0.0004428461,0.0006645213,0.000004290665,0.0000014878235,0.00001352628,6.457387e-8,0.0011785242,0.01185673,0.97228354,0.013402034],"study_design_scores_gemma":[0.0001932349,0.00008271552,0.0002831717,0.0031283032,0.000032667416,0.000015785477,0.000006337092,0.000005697981,0.0017578055,0.00015020807,0.994141,0.00020307957],"about_ca_topic_score_codex":0.00038090433,"about_ca_topic_score_gemma":0.00006687709,"teacher_disagreement_score":0.24647565,"about_ca_system_score_codex":0.000067925095,"about_ca_system_score_gemma":0.000019926656,"threshold_uncertainty_score":0.99957114},"labels":[],"label_agreement":null},{"id":"W7098223238","doi":"","title":"Regional District of Nanaimo","year":2006,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Disclaimer; Scope (computer science); Property (philosophy); Subject (documents); Information system","score_opus":0.024601934177859417,"score_gpt":0.23158639607602685,"score_spread":0.20698446189816744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7098223238","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8835315,0.0000053298018,0.0018198964,0.0008461004,0.00015755721,0.000054212614,0.0000057244865,0.000041297953,0.11353838],"genre_scores_gemma":[0.9923093,0.0000029495789,0.00006697615,0.00027923635,0.000030232944,9.064167e-7,0.0000014106461,0.0000025293962,0.0073064826],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996473,0.000010489686,0.000077777426,0.000099401805,0.00010277815,0.0000622211],"domain_scores_gemma":[0.9998297,0.000053632222,0.000028944336,0.00006804179,0.000008938789,0.0000107541955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000018827111,0.00003135363,0.00003806277,0.000022695704,0.000026608035,0.000005961056,0.000051977582,0.000012542431,0.00006430531],"category_scores_gemma":[0.000023700326,0.000023454422,0.000027722814,0.00012509155,0.000032994576,0.00003982067,0.000011581497,0.000022931034,0.000015383048],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000074532727,0.00004510946,0.00051411847,0.000003170094,2.6360127e-7,0.0000028766985,0.00000127721,0.000048437698,0.76890093,0.21344082,0.015457486,0.0015780731],"study_design_scores_gemma":[0.000503862,0.00017315295,0.070544444,0.000008836069,0.0000063013113,0.000042006537,0.000008867292,0.012262837,0.81977177,0.03113687,0.0653062,0.00023488484],"about_ca_topic_score_codex":0.0000921422,"about_ca_topic_score_gemma":0.000014390821,"teacher_disagreement_score":0.18230395,"about_ca_system_score_codex":0.0000055933447,"about_ca_system_score_gemma":0.000005169227,"threshold_uncertainty_score":0.095644355},"labels":[],"label_agreement":null},{"id":"W7100061163","doi":"","title":"Ground Source Heat Pumps versus High Efficiency Natural Gas Furnaces in Alberta","year":2003,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Natural gas; Heat exchanger; Renewable heat; Heat pump; Frost (temperature); Fossil fuel; Copper in heat exchangers; Heat pipe","score_opus":0.016705208087060188,"score_gpt":0.2341145944538741,"score_spread":0.2174093863668139,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100061163","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9796245,0.000021027228,0.00009644918,0.0009685285,0.002039633,0.00014435578,6.9393394e-7,0.000047866863,0.017056955],"genre_scores_gemma":[0.98977,0.000020668078,0.000036132,0.0006953936,0.000035619476,0.00000542652,0.0000015138468,0.000013632576,0.00942162],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986804,0.000111409914,0.00018359658,0.0004236989,0.00024177555,0.0003591281],"domain_scores_gemma":[0.9991666,0.0005249051,0.00003073337,0.00019870327,0.000013808246,0.00006521839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011978492,0.00014927796,0.0001280724,0.00010181382,0.00013934195,0.000092308175,0.00017885426,0.000052831012,0.0001698815],"category_scores_gemma":[0.00056883047,0.00011743078,0.00005060924,0.00046038546,0.00007377019,0.00023133529,0.000038577917,0.00021352201,0.000116237454],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058528973,0.0005958232,0.0024089946,0.000033980035,0.00000841954,0.00009504233,0.00048480413,0.0068557733,0.7309801,0.25116676,0.0007017499,0.0060832533],"study_design_scores_gemma":[0.016371649,0.002585206,0.016304495,0.00010072848,0.000055974222,0.0004930689,0.00089632807,0.28260326,0.5939855,0.011804965,0.07167223,0.003126574],"about_ca_topic_score_codex":0.0022411295,"about_ca_topic_score_gemma":0.0016295318,"teacher_disagreement_score":0.2757475,"about_ca_system_score_codex":0.000064467014,"about_ca_system_score_gemma":0.000020937781,"threshold_uncertainty_score":0.47886884},"labels":[],"label_agreement":null},{"id":"W7101239204","doi":"","title":"Radial phase gradients 1 Freeman &amp;amp; Barrie Analysis of Spatial Patterns of Phase in Neocortical Gamma EEGs in Rabbit","year":2008,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Spatial filter; Phase (matter); Amplitude; Spatial frequency; Spatial ecology; Somatosensory system; Magnetoencephalography; Summation","score_opus":0.05105926727668163,"score_gpt":0.3130663726394631,"score_spread":0.26200710536278143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7101239204","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936876,0.000002619112,0.0053888736,0.000094907504,0.0001810405,0.00025117298,0.00012561026,0.000017275546,0.00025088055],"genre_scores_gemma":[0.9993867,0.000023798073,0.0000694008,0.00017145486,0.00003253442,0.000011473881,0.00005539431,0.000012145638,0.000237073],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9979522,0.00016116287,0.00070730026,0.0004590418,0.00039880813,0.00032145722],"domain_scores_gemma":[0.9991012,0.00021038434,0.00016845527,0.00035568888,0.000034067303,0.0001301916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000170957,0.00017050322,0.0004873717,0.0007863266,0.000040885767,0.000010448108,0.0002172839,0.00008006732,0.0007944991],"category_scores_gemma":[0.0004287985,0.00015308904,0.00019830636,0.0011592959,0.00014785475,0.00015441746,0.000061123,0.0001808004,0.000011117967],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00074812584,0.0030142153,0.31644914,0.000023160927,0.00004044336,0.000125673,0.00045601017,0.00079363404,0.6729903,0.00053105236,0.000060828217,0.004767431],"study_design_scores_gemma":[0.028774336,0.0015693643,0.5165531,0.00007170578,0.00042651975,0.000051634303,0.00005659069,0.23106855,0.21884517,0.0005432438,0.0010639034,0.0009758665],"about_ca_topic_score_codex":0.0031394097,"about_ca_topic_score_gemma":0.010996031,"teacher_disagreement_score":0.45414513,"about_ca_system_score_codex":0.00004709997,"about_ca_system_score_gemma":0.000037690657,"threshold_uncertainty_score":0.86992085},"labels":[],"label_agreement":null},{"id":"W7114932477","doi":"","title":"Know Thyself by Knowing Others: Learning Neuron Identity from Population Context.","year":2025,"lang":"en","type":"article","venue":"PubMed","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Decoding methods; Identity (music); Population; Representation (politics); Generalization; Context (archaeology); Neuron; Neural coding","score_opus":0.019363714515251748,"score_gpt":0.23830747768989655,"score_spread":0.2189437631746448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7114932477","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923049,0.00012407494,0.0014082403,0.0007921278,0.0013573009,0.00041340556,0.00001242464,0.00018770357,0.003399824],"genre_scores_gemma":[0.99254847,0.000033653494,0.0000054838624,0.0013534339,0.00006575641,0.00012431182,0.000018493416,0.000013938316,0.005836468],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9988298,0.00016449663,0.00017758612,0.0003907093,0.00018203807,0.00025537156],"domain_scores_gemma":[0.99948627,0.00021635112,0.00008298075,0.0001489091,0.000015827056,0.000049669754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016197281,0.00010972982,0.00012088836,0.00007617579,0.00021628258,0.00019094117,0.00016418383,0.0000540075,0.000021199097],"category_scores_gemma":[0.00071055366,0.000108504784,0.000058841797,0.00029807707,0.000025968708,0.0005498933,0.00006838594,0.00020621113,0.000021112934],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007347816,0.00009508201,0.036835097,0.000019830986,0.000013991925,0.000006759427,0.00008525796,0.00026373347,0.12698413,0.005900985,0.0027145385,0.8270071],"study_design_scores_gemma":[0.0010419489,0.0000359189,0.8685284,0.000037255846,0.00004558094,0.0000017791081,0.000096538264,0.0145837255,0.028063029,0.008084741,0.079083115,0.00039795277],"about_ca_topic_score_codex":0.000524276,"about_ca_topic_score_gemma":0.00008837442,"teacher_disagreement_score":0.8316933,"about_ca_system_score_codex":0.000068277084,"about_ca_system_score_gemma":0.00000571434,"threshold_uncertainty_score":0.44246966},"labels":[],"label_agreement":null},{"id":"W7115030632","doi":"","title":"Neural Mechanisms of Corticocortical Feedback Computation","year":2025,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Computation; Artificial neural network; Feature (linguistics); Class (philosophy); Models of neural computation","score_opus":0.02464970532079426,"score_gpt":0.2590827124590655,"score_spread":0.23443300713827125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7115030632","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96551937,0.000019453742,0.000014023146,0.00003364937,0.003944686,0.000898422,0.00076631096,0.00025269488,0.028551409],"genre_scores_gemma":[0.9917515,0.000045319543,0.00035239107,0.0005509598,0.000027848448,0.00006966073,0.00054419844,0.00010877491,0.0065493323],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9954671,0.00035630987,0.0012131834,0.0013084029,0.0010255404,0.0006294365],"domain_scores_gemma":[0.9974427,0.0006176153,0.0008218189,0.0005301011,0.00035394265,0.00023382207],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032229853,0.00066882314,0.0008122047,0.00049372384,0.0006850972,0.00009229714,0.0005959451,0.00063505565,0.00013387787],"category_scores_gemma":[0.0017174714,0.00069227745,0.00043473017,0.00097075047,0.00007595868,0.00049787003,0.00015159902,0.0012492229,0.00010534202],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002523698,0.00020386185,0.000004274134,0.000332196,0.000029481167,0.000043262196,0.0000017641809,0.00031476378,0.71321875,0.2154687,0.0000035876933,0.070126995],"study_design_scores_gemma":[0.0010966269,0.00050536357,0.0017938153,0.0004130054,0.00027398762,0.00003895006,0.000074354124,0.008139474,0.84552735,0.14050032,0.0006806315,0.00095610786],"about_ca_topic_score_codex":0.000078193734,"about_ca_topic_score_gemma":0.00017998152,"teacher_disagreement_score":0.13230863,"about_ca_system_score_codex":0.0002875473,"about_ca_system_score_gemma":0.00006967114,"threshold_uncertainty_score":0.99955285},"labels":[],"label_agreement":null},{"id":"W7115183986","doi":"10.48550/arxiv.2407.09100","title":"Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos","year":2024,"lang":"en","type":"preprint","venue":"Edinburgh Research Explorer","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Discovery Centre","funders":"","keywords":"Benchmark (surveying); Task (project management); Visual cortex; Benchmarking; Predictive coding; Computational model; Process (computing); Competition (biology)","score_opus":0.07348621713261423,"score_gpt":0.3669344114848697,"score_spread":0.2934481943522555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7115183986","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9390891,0.00014368969,0.034125477,0.004541914,0.008252956,0.006836995,0.0061990134,0.00045587122,0.0003549475],"genre_scores_gemma":[0.98672533,0.00041211152,0.00033748712,0.00026301623,0.0035850878,0.0043695923,0.0005707024,0.00018129643,0.0035553616],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.993992,0.00038866684,0.00050008553,0.002156001,0.001730855,0.0012323943],"domain_scores_gemma":[0.9929886,0.004983851,0.00024942716,0.0009031048,0.0006639997,0.00021105165],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0025569592,0.00051974895,0.0005992433,0.0003859848,0.0012025574,0.00074251404,0.00079476956,0.00047487777,0.00012888842],"category_scores_gemma":[0.002149988,0.00040187818,0.0005291764,0.0004890811,0.0003943577,0.00028512586,0.0022432504,0.0032712782,0.000024388755],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018286483,0.00055124715,0.00016927933,0.00048486475,0.00017100037,0.000028210441,0.0021286563,0.00049727637,0.97432846,0.0013800114,0.015002154,0.0034302159],"study_design_scores_gemma":[0.0013805766,0.00085409917,0.003351398,0.000429884,0.00015280672,0.000006668659,0.001058047,0.8522575,0.05099493,0.079178765,0.009583563,0.0007517586],"about_ca_topic_score_codex":0.000108752756,"about_ca_topic_score_gemma":0.00009067763,"teacher_disagreement_score":0.9233335,"about_ca_system_score_codex":0.0012098417,"about_ca_system_score_gemma":0.00035580748,"threshold_uncertainty_score":0.9998433},"labels":[],"label_agreement":null},{"id":"W7115686576","doi":"10.5281/zenodo.15264390","title":"Deriving connectivity from spiking activity in detailed models of large-scale cortical microcircuits - Repository","year":2025,"lang":"","type":"preprint","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Addiction and Mental Health","funders":"","keywords":"Feature (linguistics); Noise (video); Pattern recognition (psychology); Artificial neural network; Measure (data warehouse)","score_opus":0.041470609590431355,"score_gpt":0.2600787096624442,"score_spread":0.2186081000720128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7115686576","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9381813,0.000083864215,0.038855627,0.00020713868,0.00082188885,0.0012684463,0.0014247857,0.00036396898,0.018792998],"genre_scores_gemma":[0.99772584,0.00025348793,0.0001370548,0.00011176149,0.00012851461,2.3857092e-7,0.00038575035,0.0008246495,0.00043269777],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9923258,0.0029659944,0.0009925988,0.0019982893,0.0008380296,0.0008792928],"domain_scores_gemma":[0.99657613,0.000505242,0.00072932965,0.0012347426,0.00068770733,0.00026687034],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001688746,0.0005142111,0.000811482,0.00059948774,0.002785854,0.0009777846,0.0018855997,0.00043990536,0.0012486664],"category_scores_gemma":[0.0022039684,0.00062153675,0.0002654662,0.0011497248,0.0004383643,0.0006504668,0.0063477033,0.0021081495,0.00019031226],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049461686,0.0012858699,0.00018551738,0.00055454543,0.00007315568,0.00007283489,0.0024421026,0.0061376956,0.9667779,0.0019991794,0.0005660727,0.019410502],"study_design_scores_gemma":[0.0032666123,0.00065851485,0.03204573,0.0020031852,0.00022296916,0.00013217932,0.0008598237,0.6878704,0.24905123,0.003733809,0.018528605,0.00162696],"about_ca_topic_score_codex":0.00027828792,"about_ca_topic_score_gemma":0.000023649336,"teacher_disagreement_score":0.7177267,"about_ca_system_score_codex":0.0006909698,"about_ca_system_score_gemma":0.00004593223,"threshold_uncertainty_score":0.9996643},"labels":[],"label_agreement":null},{"id":"W7115712852","doi":"10.5281/zenodo.15264389","title":"Deriving connectivity from spiking activity in detailed models of large-scale cortical microcircuits - Repository","year":2025,"lang":"","type":"preprint","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Addiction and Mental Health","funders":"","keywords":"Feature (linguistics); Noise (video); Pattern recognition (psychology); Artificial neural network; Measure (data warehouse)","score_opus":0.041470609590431355,"score_gpt":0.2600787096624442,"score_spread":0.2186081000720128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7115712852","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9381813,0.000083864215,0.038855627,0.00020713868,0.00082188885,0.0012684463,0.0014247857,0.00036396898,0.018792998],"genre_scores_gemma":[0.99772584,0.00025348793,0.0001370548,0.00011176149,0.00012851461,2.3857092e-7,0.00038575035,0.0008246495,0.00043269777],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9923258,0.0029659944,0.0009925988,0.0019982893,0.0008380296,0.0008792928],"domain_scores_gemma":[0.99657613,0.000505242,0.00072932965,0.0012347426,0.00068770733,0.00026687034],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001688746,0.0005142111,0.000811482,0.00059948774,0.002785854,0.0009777846,0.0018855997,0.00043990536,0.0012486664],"category_scores_gemma":[0.0022039684,0.00062153675,0.0002654662,0.0011497248,0.0004383643,0.0006504668,0.0063477033,0.0021081495,0.00019031226],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049461686,0.0012858699,0.00018551738,0.00055454543,0.00007315568,0.00007283489,0.0024421026,0.0061376956,0.9667779,0.0019991794,0.0005660727,0.019410502],"study_design_scores_gemma":[0.0032666123,0.00065851485,0.03204573,0.0020031852,0.00022296916,0.00013217932,0.0008598237,0.6878704,0.24905123,0.003733809,0.018528605,0.00162696],"about_ca_topic_score_codex":0.00027828792,"about_ca_topic_score_gemma":0.000023649336,"teacher_disagreement_score":0.7177267,"about_ca_system_score_codex":0.0006909698,"about_ca_system_score_gemma":0.00004593223,"threshold_uncertainty_score":0.9996643},"labels":[],"label_agreement":null},{"id":"W7119557123","doi":"","title":"Complexity and dynamics of partially symmetric random neural networks.","year":2025,"lang":"en","type":"article","venue":"PubMed","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Reciprocal; Chaotic; Symmetry (geometry); Artificial neural network; Network dynamics; Multistability; Dynamics (music); Topology (electrical circuits); Lyapunov exponent","score_opus":0.03472976117341567,"score_gpt":0.2342164130942806,"score_spread":0.19948665192086493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7119557123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.981547,0.0001147033,0.008472138,0.0019217494,0.00123329,0.00084134913,0.00002098901,0.00007650556,0.0057722987],"genre_scores_gemma":[0.9987279,0.000047264715,0.000015757078,0.00063721143,0.000026926744,0.000095730524,0.0000038792955,0.000005699519,0.00043961065],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910474,0.00009215914,0.00020383649,0.00024159654,0.00011667577,0.00024100744],"domain_scores_gemma":[0.99935204,0.0003456407,0.00007806282,0.0001433798,0.000024258885,0.00005659104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020868401,0.00008930452,0.00017630728,0.00013622416,0.00008553304,0.000041748863,0.00012286505,0.00004013252,0.000002952915],"category_scores_gemma":[0.0004894236,0.00007779101,0.000048122944,0.00066896155,0.00016021762,0.00008491447,0.00009304588,0.00010693389,3.2166648e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006598213,0.00017129382,0.018228078,0.00009631426,0.000022304415,0.000012391248,0.000013672825,0.004821138,0.00093365286,0.2284763,0.00042550766,0.7461395],"study_design_scores_gemma":[0.0009513211,0.00001690454,0.21658929,0.0000030836293,0.000017190978,0.0000043752493,0.000002984949,0.7767904,0.00077303906,0.004612229,0.00016063848,0.0000785447],"about_ca_topic_score_codex":0.000024257688,"about_ca_topic_score_gemma":0.000060798775,"teacher_disagreement_score":0.77196926,"about_ca_system_score_codex":0.000026154474,"about_ca_system_score_gemma":0.000006636386,"threshold_uncertainty_score":0.31722254},"labels":[],"label_agreement":null},{"id":"W7132926674","doi":"","title":"Influence of network topology on nonlinear dynamics in populations of mapped clock oscillators representing hippocampal neurons","year":2004,"lang":"","type":"dissertation","venue":"TSpace","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bibliographical Society of Canada","funders":"","keywords":"Topology (electrical circuits); Chaotic; Nonlinear system; Topological dynamics; Network topology; Hippocampal formation; Dynamics (music); Bifurcation","score_opus":0.026988961528156226,"score_gpt":0.3313732721848993,"score_spread":0.3043843106567431,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132926674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946297,0.0000492647,0.000068381385,0.00045728727,0.002102936,0.00097239454,0.000059476468,0.00004115018,0.001619413],"genre_scores_gemma":[0.9976697,0.00012419414,0.0003793442,0.000137343,0.00016640678,0.000019206962,0.00025142243,0.00008284117,0.0011695627],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99509484,0.0004401841,0.001642202,0.0012481218,0.00074315903,0.0008314695],"domain_scores_gemma":[0.9961362,0.0006254404,0.0018924662,0.00092461746,0.00027013646,0.00015115486],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004223368,0.0006186407,0.0010168161,0.0006618222,0.00029251142,0.00003833179,0.0006017165,0.00061115617,0.000033625936],"category_scores_gemma":[0.0016729381,0.0006983061,0.00031206437,0.0022760683,0.00036757128,0.0001831164,0.00016376047,0.0011474859,0.000012115291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005524798,0.0003884838,0.05411775,0.00036801974,0.000017460903,0.00003539469,0.0012182494,0.88458014,0.02478166,0.033337492,0.000010527734,0.0005923483],"study_design_scores_gemma":[0.0023915172,0.0021386805,0.38173208,0.0024338723,0.00021935387,0.000048243634,0.0038399098,0.5797799,0.016099643,0.009617902,0.00011723477,0.0015816579],"about_ca_topic_score_codex":0.002180701,"about_ca_topic_score_gemma":0.0040559187,"teacher_disagreement_score":0.32761434,"about_ca_system_score_codex":0.00038063104,"about_ca_system_score_gemma":0.00038257404,"threshold_uncertainty_score":0.9995468},"labels":[],"label_agreement":null},{"id":"W7132941755","doi":"","title":"Modelling the spatiotemporal pattern of synaptic inputs in hippocampal neurons during population rhythms","year":2007,"lang":"","type":"dissertation","venue":"TSpace","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Hippocampal formation; Rhythm; Population; Nerve net; Premovement neuronal activity; Network model; Process (computing); Computational model","score_opus":0.03368965660331269,"score_gpt":0.3175512309869111,"score_spread":0.28386157438359844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132941755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888306,0.00007570248,0.00729259,0.00037442622,0.002167891,0.0010030211,0.000014698035,0.00004426408,0.00019680632],"genre_scores_gemma":[0.9982016,0.00017335528,0.000049294675,0.0001273882,0.00018688555,0.00002408576,0.00017110362,0.00009393656,0.0009723158],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9958909,0.00037187416,0.001168434,0.0009845175,0.0008897714,0.0006944862],"domain_scores_gemma":[0.99755615,0.00041015557,0.0011625631,0.00063591806,0.00012295284,0.000112265574],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00056520995,0.000579199,0.00059146434,0.0005987191,0.0003868358,0.000114984396,0.00042221663,0.0004169919,0.000058096917],"category_scores_gemma":[0.00019368634,0.0005191312,0.00023731422,0.0010843442,0.00011489726,0.00030853794,0.000091587586,0.0011664849,0.000020128795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065529795,0.0002786916,0.010827899,0.00091980305,0.000028994067,0.00012399732,0.009406313,0.8941733,0.0780006,0.00035431734,0.0000031058391,0.0052276817],"study_design_scores_gemma":[0.00062136585,0.0002045017,0.054984745,0.00056356634,0.00006439493,0.00003649026,0.0009935454,0.9265312,0.015200725,0.0002612146,0.000008336798,0.00052989536],"about_ca_topic_score_codex":0.006241433,"about_ca_topic_score_gemma":0.0013706523,"teacher_disagreement_score":0.06279987,"about_ca_system_score_codex":0.00019887634,"about_ca_system_score_gemma":0.000085205196,"threshold_uncertainty_score":0.999726},"labels":[],"label_agreement":null},{"id":"W7132958779","doi":"","title":"Impact of Noise and Spike Initiation Properties on the Encoding and Transmission of Neural Information","year":2022,"lang":"","type":"dissertation","venue":"TSpace","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Hospital for Sick Children; University of Toronto","keywords":"Neural coding; Soma; Spike train; Axon; Electrophysiology; Neuron; Spike (software development); Somatosensory system; Axon hillock; Patch clamp","score_opus":0.03626458523990611,"score_gpt":0.30705736046458115,"score_spread":0.27079277522467504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132958779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99737996,0.00015149431,0.00003852237,0.00040328936,0.00029132108,0.00080998754,0.000032217944,0.000013393541,0.0008798314],"genre_scores_gemma":[0.99862033,0.0009026737,0.0000061072565,0.00008643889,0.000017183847,0.00002575596,0.0000688406,0.000017390405,0.000255268],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99821204,0.00024729516,0.0005388626,0.0002805053,0.00052661187,0.00019466395],"domain_scores_gemma":[0.9984811,0.0003139398,0.0008139322,0.00020502336,0.000121285084,0.00006472804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034386397,0.00029503214,0.00032270572,0.00022826546,0.00041285864,0.00009212534,0.00014992671,0.00011936495,0.00015412689],"category_scores_gemma":[0.00038031573,0.00019436762,0.00012773156,0.0003876685,0.00014013119,0.00062267843,0.000048943926,0.00041219985,8.4132034e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016123396,0.00009823821,0.0009613679,0.00079323293,0.000020169704,0.0000011904854,0.032166474,0.0022733808,0.93363404,0.0008506846,0.000025969475,0.02756293],"study_design_scores_gemma":[0.0020649957,0.008773582,0.20438153,0.0013258224,0.00029723055,0.00005507348,0.021901978,0.43605223,0.32352343,0.0002558955,0.000369814,0.0009984251],"about_ca_topic_score_codex":0.0003297509,"about_ca_topic_score_gemma":0.0000063294624,"teacher_disagreement_score":0.6101106,"about_ca_system_score_codex":0.000059016438,"about_ca_system_score_gemma":0.00010308689,"threshold_uncertainty_score":0.79260814},"labels":[],"label_agreement":null},{"id":"W7132977795","doi":"","title":"Use of compartmental models to predict physiological properties of hippocampal inhibitory neurons","year":2006,"lang":"","type":"dissertation","venue":"TSpace","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Universities Space Research Association","keywords":"Hippocampal formation; Inhibitory postsynaptic potential; Gap junction; Interneuron; Excitatory postsynaptic potential; Context (archaeology); Population; Postsynaptic potential; Electrical Synapses","score_opus":0.12387686123766749,"score_gpt":0.3008208425549445,"score_spread":0.176943981317277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132977795","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99620885,0.00007547653,0.00012480073,0.000100447374,0.0014744606,0.0014123309,0.00017199344,0.00005409732,0.00037755314],"genre_scores_gemma":[0.9942357,0.000062517654,0.00010493353,0.00019125985,0.00012532047,0.000058618385,0.00017882459,0.00005707952,0.0049857576],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9964027,0.00035078335,0.0009319146,0.0009793312,0.0008299318,0.00050534686],"domain_scores_gemma":[0.9981599,0.00015139427,0.00075660006,0.0005209336,0.00023074677,0.0001804319],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011450289,0.0005808883,0.0008943418,0.00026816656,0.00019262696,0.00006378337,0.00039335983,0.0002928876,0.000037584425],"category_scores_gemma":[0.0001624721,0.00049510243,0.00033618818,0.0005115071,0.00038775997,0.00037307877,0.00017339858,0.00047184672,0.000014571986],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009820217,0.000767734,0.00008891105,0.00037713008,0.000016606738,0.0000067394953,0.0013030275,0.052565664,0.9413566,0.0003892705,0.0019280597,0.00021822262],"study_design_scores_gemma":[0.00057005166,0.0026850863,0.0074256468,0.0007843316,0.00013783778,0.000008885698,0.001120162,0.118283905,0.86788565,0.00022566225,0.00020453203,0.0006682705],"about_ca_topic_score_codex":0.00043082982,"about_ca_topic_score_gemma":0.000057846864,"teacher_disagreement_score":0.07347098,"about_ca_system_score_codex":0.00008144615,"about_ca_system_score_gemma":0.00015145449,"threshold_uncertainty_score":0.9997501},"labels":[],"label_agreement":null},{"id":"W7133039269","doi":"","title":"Deconstructing hippocampal EEG rhythms using time-frequency analysis","year":2003,"lang":"","type":"dissertation","venue":"TSpace","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Rhythm; Hippocampal formation; Interneuron; Theta rhythm; Electroencephalography; Local field potential; Wavelet; Inhibitory postsynaptic potential; Statistical analysis","score_opus":0.02845562953622992,"score_gpt":0.3346072396864207,"score_spread":0.30615161015019077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133039269","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98378605,0.00026336094,0.0019612408,0.000085247295,0.003949028,0.00064795977,0.000037500962,0.0001887079,0.009080933],"genre_scores_gemma":[0.9600667,0.00020282055,0.0040656435,0.00041762993,0.00027829225,0.000024467128,0.00029861645,0.00027313904,0.03437274],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99386996,0.000642227,0.0011644186,0.0021148724,0.0010001914,0.0012083175],"domain_scores_gemma":[0.9961928,0.00046205486,0.0016085024,0.0010260311,0.00032618953,0.0003843809],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005982215,0.0010545452,0.0013144474,0.0012844104,0.0012996475,0.0005651535,0.000516508,0.0007149843,0.0023349738],"category_scores_gemma":[0.0010443679,0.0011599803,0.0010165585,0.0050878613,0.00024063888,0.0004937653,0.00007483858,0.0011467151,0.0004248647],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012753757,0.00015898238,0.003632907,0.00023772288,0.00067314587,0.00020494175,0.0023163087,0.008124349,0.97675717,0.0012696311,0.000052346502,0.006444972],"study_design_scores_gemma":[0.0018500426,0.00060734805,0.005783773,0.00065500336,0.011616643,0.0009197657,0.008264563,0.87734926,0.084656544,0.0023779504,0.0005309562,0.005388176],"about_ca_topic_score_codex":0.0005021498,"about_ca_topic_score_gemma":0.00016636626,"teacher_disagreement_score":0.89210063,"about_ca_system_score_codex":0.00043501172,"about_ca_system_score_gemma":0.0004686961,"threshold_uncertainty_score":0.99959695},"labels":[],"label_agreement":null},{"id":"W7133066176","doi":"","title":"Network synchrony of GABAergic interneurons in the intact hippocampus: role of electrotonic coupling","year":2002,"lang":"","type":"dissertation","venue":"TSpace","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bibliothèque et Archives nationales du Québec; University of Toronto","funders":"","keywords":"Coupling (piping); Gap junction; Interneuron; Population; GABAergic; Hippocampal formation; Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Postsynaptic potential; Biocytin","score_opus":0.01732223856886954,"score_gpt":0.2874539643982292,"score_spread":0.2701317258293596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133066176","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927366,0.0017246902,0.00006028877,0.00019305345,0.0010187018,0.0012693915,0.000008595204,0.000023532311,0.002965194],"genre_scores_gemma":[0.9965986,0.0017696131,0.000017830896,0.00017991892,0.0001383829,0.00006926235,0.000043741573,0.00007194752,0.001110725],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9961812,0.00036148896,0.0010649955,0.0008630318,0.000752429,0.00077685],"domain_scores_gemma":[0.9966415,0.0010209372,0.0013624537,0.00077594747,0.00012712643,0.0000720011],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00066178164,0.000564357,0.0007957462,0.00030735173,0.00017198636,0.00007190508,0.001080957,0.0003392763,0.00026245776],"category_scores_gemma":[0.000387138,0.0004777852,0.0003314768,0.0015525004,0.00019755604,0.00015662634,0.00009756756,0.00133966,0.000025007872],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008736514,0.0009381014,0.002210759,0.000884318,0.000059542184,0.000053106185,0.014176783,0.046085626,0.9233827,0.0055242963,0.0002837722,0.00552735],"study_design_scores_gemma":[0.0016630125,0.0043172245,0.011961316,0.0029957562,0.00039055184,0.00010860918,0.012907516,0.8323467,0.1258148,0.0053156675,0.0007690658,0.0014097813],"about_ca_topic_score_codex":0.00032414834,"about_ca_topic_score_gemma":0.00038871187,"teacher_disagreement_score":0.7975679,"about_ca_system_score_codex":0.0001325036,"about_ca_system_score_gemma":0.00015605667,"threshold_uncertainty_score":0.99976736},"labels":[],"label_agreement":null},{"id":"W775068112","doi":"","title":"Role of Synapsin II in Neurodevelopment: Delineating the Role of Developmental Medial Prefrontal Cortical Synapsin II Reductions in the Pathophysiology of Schizophrenia","year":2014,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McMaster University","keywords":"Synapsin; Neuroscience; Synapsin I; Schizophrenia (object-oriented programming); Prefrontal cortex; Psychology; Pathophysiology; Cognition; Medicine; Biology; Psychiatry; Pathology; Genetics","score_opus":0.009186334589030539,"score_gpt":0.1985409108449705,"score_spread":0.18935457625593996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W775068112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9827991,0.000030303952,0.000006109809,0.000053590335,0.00030511981,0.0004068611,0.000038298145,0.000010875344,0.01634972],"genre_scores_gemma":[0.9958298,0.00003253444,0.0002390932,0.0000373798,0.00003370832,0.0000048591787,0.00008280211,0.000020269317,0.0037195503],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978663,0.00049005635,0.0005793522,0.00045793597,0.00033372245,0.00027265874],"domain_scores_gemma":[0.99893755,0.00026904803,0.0004779694,0.00020915782,0.0000705614,0.00003574535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002021026,0.00025801914,0.00041991874,0.00026087282,0.00024451024,0.000009523128,0.0006319439,0.00021275938,0.0007893945],"category_scores_gemma":[0.00022123296,0.00020177648,0.00011228741,0.0007759966,0.00022427783,0.00012845718,0.0002311295,0.0005545676,0.0000018959764],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010620259,0.00028608248,0.0008454496,0.000062503845,0.000018341469,0.000010347295,0.004129381,0.00033272489,0.92052716,0.002823972,0.0000112381,0.06989075],"study_design_scores_gemma":[0.008870598,0.0035886543,0.26904923,0.0017138626,0.0005185894,0.00012491927,0.1018194,0.028626608,0.5585197,0.0073905294,0.01734519,0.0024326625],"about_ca_topic_score_codex":0.00023067082,"about_ca_topic_score_gemma":0.0023294736,"teacher_disagreement_score":0.36200744,"about_ca_system_score_codex":0.000090750145,"about_ca_system_score_gemma":0.00021141379,"threshold_uncertainty_score":0.86433166},"labels":[],"label_agreement":null},{"id":"W780675779","doi":"10.1016/j.heares.2015.06.016","title":"Auditory cortex directs the input-specific remodeling of thalamus","year":2015,"lang":"en","type":"article","venue":"Hearing Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Alberta Innovates - Health Solutions","keywords":"Medial geniculate body; Neuroscience; Thalamus; Inferior colliculus; Auditory cortex; Muscimol; Cortex (anatomy); Superior colliculus; Biology; Auditory system; Stimulation; Inferior Colliculi; Facilitation; Nucleus; GABAA receptor","score_opus":0.3500269096674316,"score_gpt":0.39241016526300726,"score_spread":0.04238325559557565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W780675779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98499674,0.0001008873,0.00008903492,0.000845491,0.0008126507,0.00020954227,0.0000016480149,0.000042447737,0.012901547],"genre_scores_gemma":[0.99767345,0.000093595416,0.000048833204,0.00006090959,0.00030498992,0.0000099835515,5.5026237e-7,0.00001641571,0.0017912904],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99785125,0.00034662182,0.0001708987,0.00031582217,0.00095427595,0.00036111433],"domain_scores_gemma":[0.9985048,0.0007384934,0.000039410206,0.00041270436,0.00019820267,0.00010635634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018972,0.00007209374,0.00010576867,0.00013570905,0.00025877907,0.00007296832,0.00032854997,0.000047673548,0.000014204197],"category_scores_gemma":[0.0012079405,0.00004989184,0.00003908349,0.0005464639,0.00023902502,0.00010378087,0.00018392186,0.0005132347,0.000084934494],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007062249,0.00004816907,0.000680662,0.000018927822,0.0000014938762,0.000013606943,0.00037532373,0.00072565203,0.98218966,0.0033548793,0.004383296,0.008137719],"study_design_scores_gemma":[0.001612853,0.00097536587,0.08408468,0.00029704106,0.000007705409,0.0001583593,0.001026286,0.17620447,0.6125447,0.019226654,0.10325907,0.0006028093],"about_ca_topic_score_codex":0.00008398092,"about_ca_topic_score_gemma":0.0000080451455,"teacher_disagreement_score":0.36964494,"about_ca_system_score_codex":0.0000814432,"about_ca_system_score_gemma":0.000099494726,"threshold_uncertainty_score":0.2229778},"labels":[],"label_agreement":null},{"id":"W808106620","doi":"10.1016/j.neuroimage.2015.06.090","title":"Functional MRI of visual responses in the awake, behaving marmoset","year":2015,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":73,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"National Institutes of Health","keywords":"Marmoset; Neuroscience; Psychology; Computer science; Biology","score_opus":0.08869704434246446,"score_gpt":0.3120938377801749,"score_spread":0.22339679343771046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W808106620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954294,0.000006786625,0.000117588635,0.0012131725,0.00048390438,0.00014695835,0.000019434383,0.00002735986,0.002555428],"genre_scores_gemma":[0.99760777,0.000005633148,0.0000269951,0.0016009781,0.000060437374,0.000009201187,0.0000040306545,0.000011343697,0.000673623],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99863106,0.00035069085,0.00019136137,0.00026408627,0.00039456133,0.00016825214],"domain_scores_gemma":[0.9991789,0.00047645447,0.000072994546,0.00019890079,0.00003225988,0.000040511954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004119447,0.00009314684,0.000095547555,0.00010252558,0.000058728867,0.00004224006,0.00018926804,0.000029678175,0.000030683583],"category_scores_gemma":[0.00086082873,0.00006787912,0.000044621665,0.00035360147,0.00009643567,0.00017076945,0.00006585759,0.00019569782,0.00003384148],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029942076,0.00027708747,0.011541825,0.0000094001025,7.826325e-7,0.00016995039,0.00020520992,0.00016071727,0.9759622,0.0015566763,0.008207072,0.0016096412],"study_design_scores_gemma":[0.0020550215,0.0012430035,0.8474075,0.000027520942,0.00002229225,0.00041890523,0.00034504497,0.012394505,0.116564386,0.0022994764,0.0168133,0.00040903295],"about_ca_topic_score_codex":0.00002227055,"about_ca_topic_score_gemma":0.0000100234065,"teacher_disagreement_score":0.8593978,"about_ca_system_score_codex":0.000016413836,"about_ca_system_score_gemma":0.000043135642,"threshold_uncertainty_score":0.27680302},"labels":[],"label_agreement":null},{"id":"W812715811","doi":"10.1073/pnas.1500438112","title":"Theta–gamma coordination between anterior cingulate and prefrontal cortex indexes correct attention shifts","year":2015,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":178,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Toronto Western Hospital; University of Toronto; York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Ministero dello Sviluppo Economico; Ontario Ministry of Economic Development and Innovation","keywords":"Neuroscience; Oscillation (cell signaling); Prefrontal cortex; Anterior cingulate cortex; Stimulus (psychology); Coupling (piping); Error-related negativity; Computer science; Electroencephalography; Psychology; Rhythm; Cognitive psychology; Cognition; Physics; Biology","score_opus":0.06059068900754845,"score_gpt":0.2996819376672014,"score_spread":0.23909124865965298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W812715811","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99634564,0.000021977696,0.0000034464767,0.0015238085,0.00007394397,0.0001958418,0.000015412948,0.0000129716955,0.0018069746],"genre_scores_gemma":[0.999437,0.000009364704,0.000079271704,0.0001118529,0.00006698064,0.000004446223,1.8861665e-7,0.0000040680197,0.0002868708],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99837005,0.000014692647,0.00027220443,0.0002887275,0.00092532637,0.0001290133],"domain_scores_gemma":[0.9992439,0.00010936321,0.00043594502,0.000007135634,0.00015693328,0.000046702753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009551232,0.00009233044,0.0001397136,0.00014989795,0.00019280531,0.000055416232,0.00035718072,0.000063101645,0.0000029694293],"category_scores_gemma":[0.000797872,0.00006203375,0.000045774024,0.00049064355,0.0006019068,0.0007239982,0.00014260577,0.00012356653,0.0000012460214],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020131502,0.000017807042,0.038195446,0.0000170445,0.00000297223,7.2673205e-9,0.0001105905,0.000010990986,0.95381194,0.005889424,0.00006476755,0.0018588651],"study_design_scores_gemma":[0.00025082807,0.00014131359,0.7369552,0.00008390975,0.000013216471,0.000013283141,0.000083056344,0.0049656658,0.21988472,0.03746682,0.000046554524,0.000095434705],"about_ca_topic_score_codex":0.000007869227,"about_ca_topic_score_gemma":1.5488702e-7,"teacher_disagreement_score":0.73392725,"about_ca_system_score_codex":0.00003551501,"about_ca_system_score_gemma":0.000020691361,"threshold_uncertainty_score":0.25296628},"labels":[],"label_agreement":null},{"id":"W846507054","doi":"10.3791/52271","title":"Simultaneous Electrophysiological Recording and Micro-injections of Inhibitory Agents in the Rodent Brain","year":2015,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Electrophysiology; Pipette; Hypodermic needle; Neuroscience; Superior colliculus; Inhibitory postsynaptic potential; Population; Premovement neuronal activity; Biomedical engineering; Chemistry; Biology; Medicine; Syringe","score_opus":0.07271316024569632,"score_gpt":0.4078046814125398,"score_spread":0.3350915211668435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W846507054","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998867,0.00011624845,0.000105657964,0.00026900548,0.00042186698,0.00012140587,0.0000013707587,0.0000047860917,0.000092702394],"genre_scores_gemma":[0.9989449,0.000066113345,0.00015124335,0.00068345683,0.00008701867,0.0000028002405,3.9901252e-7,0.000007436557,0.00005666694],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986212,0.00036763743,0.0004042808,0.00014038199,0.0003142437,0.0001522418],"domain_scores_gemma":[0.99913716,0.0003455639,0.0003065573,0.00008512085,0.00005814046,0.00006748341],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003899826,0.00009767635,0.00020350787,0.00012412525,0.000060738428,0.000033453616,0.00016139387,0.00004530143,0.000007860894],"category_scores_gemma":[0.00082296995,0.000062543666,0.00006689459,0.00020783447,0.00006420633,0.00013033728,0.000045362547,0.00019591533,0.0000016290251],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036872868,0.00024948566,0.00020530858,0.0000033402848,0.000005120367,0.00005579711,0.00062445446,0.00015644143,0.9972417,0.000091129594,0.000571836,0.0004267018],"study_design_scores_gemma":[0.003145994,0.0033987262,0.001135165,0.00007885161,0.000015988475,0.0005208633,0.0012462512,0.0049844394,0.982132,0.001383261,0.001771093,0.00018734332],"about_ca_topic_score_codex":0.000019849804,"about_ca_topic_score_gemma":0.0000010841619,"teacher_disagreement_score":0.015109632,"about_ca_system_score_codex":0.00007394523,"about_ca_system_score_gemma":0.00003334198,"threshold_uncertainty_score":0.25504568},"labels":[],"label_agreement":null},{"id":"W872847797","doi":"10.1097/wnp.0000000000000150","title":"Conundrums of High-Frequency Oscillations (80–800 Hz) in the Epileptic Brain","year":2015,"lang":"en","type":"review","venue":"Journal of Clinical Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Institute of Neurological Disorders and Stroke","keywords":"Neuroscience; Epilepsy; Computer science; Psychology","score_opus":0.2134006144951265,"score_gpt":0.4450027694831981,"score_spread":0.2316021549880716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W872847797","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20696087,0.7475588,0.0001157294,0.009641455,0.02926174,0.0034703736,0.00034129064,0.00006396058,0.002585801],"genre_scores_gemma":[0.030945938,0.9653783,0.000066770786,0.0023556293,0.0010970545,0.0000072136304,0.000007276637,0.000043694912,0.000098112745],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.98953325,0.0053492878,0.0038028988,0.0004761817,0.0005172235,0.00032117247],"domain_scores_gemma":[0.98224103,0.013183473,0.0036282183,0.00058435294,0.00021789433,0.00014499853],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001958546,0.0003423614,0.0029759977,0.00031751237,0.00006274278,0.000028044735,0.0012346148,0.00040949302,0.000041394043],"category_scores_gemma":[0.013782853,0.00019318749,0.0011230606,0.0007705514,0.0005577439,0.00013607832,0.00014113737,0.00220475,0.000055356013],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031480627,0.0014576832,0.00007537374,0.0024906679,0.000105433406,0.0011488114,0.000065964654,0.00035389877,0.0035770305,0.015434412,0.0051165293,0.96985936],"study_design_scores_gemma":[0.0017472461,0.0063303304,0.0033564626,0.0022461358,0.0005499702,0.001319655,0.0000135924765,0.0001812876,0.00000473815,0.026866935,0.95683426,0.00054938416],"about_ca_topic_score_codex":0.00000945195,"about_ca_topic_score_gemma":0.0000036345587,"teacher_disagreement_score":0.96931,"about_ca_system_score_codex":0.000035306806,"about_ca_system_score_gemma":0.0005922033,"threshold_uncertainty_score":0.9945245},"labels":[],"label_agreement":null},{"id":"W941374597","doi":"10.1016/j.neuroimage.2015.06.043","title":"Inferior-frontal cortex phase synchronizes with the temporal–parietal junction prior to successful change detection","year":2015,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Western Hospital; University of Toronto; York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian HIV Trials Network, Canadian Institutes of Health Research; Canadian Institutes of Health Research; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Economic Development and Innovation","keywords":"Temporoparietal junction; Neuroscience; Prefrontal cortex; Psychology; Inferior frontal gyrus; Posterior parietal cortex; Visual cortex; Cognitive psychology; Functional magnetic resonance imaging; Cognition","score_opus":0.050721476137261884,"score_gpt":0.28514619140407615,"score_spread":0.23442471526681427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W941374597","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906692,0.00001223422,0.0037574144,0.0022526693,0.0012983684,0.00091807375,0.000015316518,0.0002258412,0.0008508687],"genre_scores_gemma":[0.9960123,0.0000055897967,0.000039736537,0.0027766381,0.0003503388,0.00012022928,0.000007755271,0.000044027274,0.0006434014],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982016,0.00015875004,0.00019508436,0.0006023391,0.0004925593,0.00034967673],"domain_scores_gemma":[0.9991166,0.00006396216,0.00013388896,0.00039018868,0.000084201136,0.00021113385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017993872,0.0002450366,0.00017752731,0.00010924426,0.00034829316,0.00025053564,0.00025008564,0.0000567009,0.000027693373],"category_scores_gemma":[0.00021620511,0.00016279786,0.00005904434,0.00059697387,0.00013686468,0.0007140417,0.00011191341,0.00029221372,0.0001405104],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00082323136,0.00024444348,0.0012870893,0.000017393884,0.0000053047484,0.00014972905,0.00043451635,0.000035216915,0.9525774,0.00008030294,0.0009864167,0.04335892],"study_design_scores_gemma":[0.014371502,0.021539422,0.17940466,0.00009617664,0.0002467678,0.0018859858,0.00093333476,0.056404315,0.4468656,0.00024222824,0.27557456,0.0024354423],"about_ca_topic_score_codex":0.00022531631,"about_ca_topic_score_gemma":0.00058937346,"teacher_disagreement_score":0.50571185,"about_ca_system_score_codex":0.00009469114,"about_ca_system_score_gemma":0.000060146456,"threshold_uncertainty_score":0.6638704},"labels":[],"label_agreement":null},{"id":"W974148970","doi":"10.1017/cbo9781107447615.011","title":"Noisy output: escape rate and soft threshold","year":2014,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Spike (software development); Noise (video); Threshold model; Computer science; Basis (linear algebra); Spike train; Statistical physics; Moment (physics); Algorithm; Mathematics; Artificial intelligence; Physics; Machine learning","score_opus":0.02806765059656268,"score_gpt":0.19257029701971665,"score_spread":0.16450264642315396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W974148970","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031384332,0.000028552147,0.0005963915,0.000056062327,0.00053460966,0.0003617495,0.00014473531,0.0001698236,0.99496967],"genre_scores_gemma":[0.030505871,0.00011523822,0.000009909549,0.000614118,0.00014821612,4.8558616e-7,0.000015414907,0.00005272806,0.96853805],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99843645,0.000051304036,0.0001639979,0.0008170869,0.00023359241,0.0002975972],"domain_scores_gemma":[0.99890107,0.00016964246,0.00020885897,0.00046983795,0.000060568866,0.00019002952],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000110386216,0.00038836745,0.0003633718,0.00016367952,0.00029866592,0.000099785866,0.0003773336,0.00030439606,0.000005081971],"category_scores_gemma":[0.00003397907,0.0004193454,0.00015028712,0.000008866029,0.00032854645,0.00008904474,0.00044002655,0.0005189229,0.00003601283],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000103505285,0.000005315029,0.0000019879087,0.00006973904,0.000017567883,0.00022491327,0.0000133219855,0.0000071145496,0.006550407,0.9770774,0.013089045,0.0028396822],"study_design_scores_gemma":[0.00054131536,0.00010294024,0.000025076768,0.00008574244,0.000105203675,0.000034747005,0.0000036909514,0.002358053,0.0022057896,0.000085561005,0.993923,0.0005288551],"about_ca_topic_score_codex":0.000022608185,"about_ca_topic_score_gemma":0.0000016240855,"teacher_disagreement_score":0.980834,"about_ca_system_score_codex":0.00006871947,"about_ca_system_score_gemma":0.00003667728,"threshold_uncertainty_score":0.99982584},"labels":[],"label_agreement":null},{"id":"W97417969","doi":"10.1007/s00422-003-0401-2","title":"Stimulus-dependent onset latency of inhibitory recurrent activity","year":2003,"lang":"en","type":"article","venue":"Biological Cybernetics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Inhibitory postsynaptic potential; Neuroscience; Stimulus (psychology); Postsynaptic potential; Nonlinear system; Biological neuron model; Population; Physics; Computer science; Control theory (sociology); Neuron; Psychology; Chemistry; Receptor; Artificial intelligence; Cognitive psychology","score_opus":0.06000011599372955,"score_gpt":0.27306793595489026,"score_spread":0.2130678199611607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W97417969","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949126,0.000048027177,0.00017220184,0.000072166236,0.00059516565,0.00016609156,0.00003144312,0.000043798973,0.003958498],"genre_scores_gemma":[0.9991202,0.00018218672,0.00010972705,0.0001511067,0.000028939172,0.0000059812137,0.0000021079804,0.0000067238175,0.0003930775],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987582,0.0002785616,0.00020233318,0.0003438236,0.00019273249,0.00022432496],"domain_scores_gemma":[0.9993035,0.0002847439,0.00011434818,0.00018582409,0.00003277487,0.00007879335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018133018,0.00013136919,0.00016781793,0.00003430904,0.000058855523,0.000012624222,0.00013671529,0.00012412273,0.00012259495],"category_scores_gemma":[0.0010098176,0.00009208065,0.00007356719,0.00014524176,0.0001632622,0.000036108504,0.000065664826,0.00019555743,0.000041948842],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009948625,0.0005292502,0.006439615,0.0000115956545,0.0000032950807,0.00001709919,0.000027001359,0.000056816443,0.96632195,0.013401008,0.00022624008,0.012866674],"study_design_scores_gemma":[0.0007115208,0.002019654,0.063057214,0.000026819116,0.000014913793,0.000043534597,0.000016599704,0.0013509081,0.910845,0.011474894,0.0099844355,0.000454534],"about_ca_topic_score_codex":0.0000061003097,"about_ca_topic_score_gemma":0.0000032889216,"teacher_disagreement_score":0.0566176,"about_ca_system_score_codex":0.000030985015,"about_ca_system_score_gemma":0.00002209202,"threshold_uncertainty_score":0.37549397},"labels":[],"label_agreement":null},{"id":"W994328415","doi":"10.1016/j.bbr.2015.06.008","title":"Psychophysical inference of frequency-following fidelity in the neural substrate for brain stimulation reward","year":2015,"lang":"en","type":"article","venue":"Behavioural Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Medial forebrain bundle; Neuroscience; Dopaminergic; Stimulation; Population; Pulse (music); Psychology; Physics; Dopamine; Medicine","score_opus":0.3287033617376631,"score_gpt":0.4569136845418135,"score_spread":0.1282103228041504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W994328415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98848516,0.00001101384,0.00019587064,0.009705322,0.00026761694,0.0010157322,0.00003623912,0.000028733053,0.00025430322],"genre_scores_gemma":[0.9988928,0.0000012359432,0.00014786948,0.0005568857,0.000071580944,0.00011636126,0.000025767882,0.000017701514,0.00016982717],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.996209,0.0011507455,0.0004409781,0.00050696696,0.0011247781,0.00056747877],"domain_scores_gemma":[0.9952375,0.0038819928,0.00009417732,0.00043445968,0.00022751796,0.00012430757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003735681,0.000157359,0.00021564454,0.00021009606,0.00019175209,0.00012738146,0.00062696374,0.00010292127,0.000007981086],"category_scores_gemma":[0.006513994,0.00011598739,0.00014680177,0.0010111633,0.00022704747,0.0003856521,0.000084440486,0.0005969113,0.000009727089],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005245061,0.00051936356,0.1012438,0.000045911293,0.000004544247,0.000074980024,0.0015637907,0.0009824937,0.86913306,0.013919101,0.003762798,0.008225646],"study_design_scores_gemma":[0.004339585,0.0025428818,0.79509926,0.000110726985,0.000018491879,0.000022921735,0.00092690054,0.092848785,0.021141833,0.0820928,0.00024183924,0.0006140074],"about_ca_topic_score_codex":0.0006651158,"about_ca_topic_score_gemma":0.00022454385,"teacher_disagreement_score":0.8479912,"about_ca_system_score_codex":0.00009609884,"about_ca_system_score_gemma":0.00014440663,"threshold_uncertainty_score":0.77983296},"labels":[],"label_agreement":null}]}